diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg.srt new file mode 100644 index 0000000000000000000000000000000000000000..b4e9291d46d87f48b0a0bd2ff8ae5e58c54ab4d7 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg.srt @@ -0,0 +1,2287 @@ +1 +00:00:02,820 --> 00:00:08,200 +بسم الله الرحمن الرحيم نلتقي اليوم في محاضرة جديدة + +2 +00:00:08,200 --> 00:00:15,840 +بعنوان Biology of B cell بالنسبة + +3 +00:00:15,840 --> 00:00:19,520 +للـ B lymphocyte الـ B lymphocyte بسلها + +4 +00:00:19,520 --> 00:00:21,500 +proliferation and differentiation في ال bone + +5 +00:00:21,500 --> 00:00:24,680 +marrow تنشأ في ال bone marrow و بسلها + +6 +00:00:24,680 --> 00:00:27,740 +differentiation في ال bone marrow وتبقى في ال bone + +7 +00:00:27,740 --> 00:00:33,500 +marrow أثناء عملية تطورها تكتسب تمر بعدد مراحل في + +8 +00:00:33,500 --> 00:00:38,420 +هذه المراحل تكتسب فيها different CD على سطح هذه + +9 +00:00:38,420 --> 00:00:48,260 +الخلية نتعرف عليها من خلال هذه الـ CD الأول + +10 +00:00:48,260 --> 00:00:55,780 +مرحلة من مراحل تطور هذه الخلية هي الـ Pro B و في + +11 +00:00:55,780 --> 00:00:59,600 +هذه المرحلة يبدأ تصفية الجينات المسؤولة عن الـ + +12 +00:00:59,600 --> 00:01:04,880 +Heavy Chain Gene Rearrangement و بتتم على مرحلتين + +13 +00:01:04,880 --> 00:01:10,120 +الـ Heavy Chain Gene أول مرحلة بترتبط الـ D-Heavy + +14 +00:01:10,120 --> 00:01:16,980 +Segment مع الـ J-Heavy Gene Segment + +15 +00:01:21,490 --> 00:01:27,590 +بعد ذلك يتم ارتباطهم مع الـ V إنما في هذه المرحلة + +16 +00:01:27,590 --> 00:01:33,810 +فقط يتم ارتباط الـ D مع الـ V وتكتسب في هذه + +17 +00:01:33,810 --> 00:01:40,110 +المرحلة CD على سطحها بسموه CD 19 وهذا ال CD بيظل + +18 +00:01:40,110 --> 00:01:45,270 +على سطحها طول فترة المراحل القادمة إضافة إلى CD 19 + +19 +00:01:45,270 --> 00:01:53,170 +تكتسب أيضًا CD 10 ففي على سطحها CD 19 و CD 10 مرحلة + +20 +00:01:53,170 --> 00:01:58,610 +اللي بعدها اللي هي Pre B وفي هذه المرحلة الـ V هي + +21 +00:01:58,610 --> 00:02:05,670 +V تبدأ تتصفى و ترتبط مع الـ D الـ segment اللي + +22 +00:02:05,670 --> 00:02:09,930 +اتكونت في المرحلة اللي سبقتها وبالتالي بيصير في + +23 +00:02:09,930 --> 00:02:16,160 +عندنا VDJ هذا الـ segment اللي مسؤول عن variable + +24 +00:02:16,160 --> 00:02:20,500 +region مرتبط بالـ constant gene و أول أقرب gene له + +25 +00:02:20,500 --> 00:02:27,300 +هو C constant Mu هو Constant Mu فبيتكون عندنا VDG + +26 +00:02:27,300 --> 00:02:34,420 +Constant Mu وبالتالي هذا التصفيطة بتكون عندنا + +27 +00:02:34,420 --> 00:02:40,260 +الـ mu chain وهذه الـ mu chains اللي لها expression + +28 +00:02:40,260 --> 00:02:45,340 +على surface of pre B مرتبطة بـ surrogate lighted + +29 +00:02:45,340 --> 00:02:48,320 +chain سروجة lighted chain هي ورا عن lighted chain + +30 +00:02:48,320 --> 00:02:57,880 +مديلة مؤقتة على سطح الـ pre-B cell surface الموت + +31 +00:02:57,880 --> 00:03:04,160 +شين مع السروجة lighted chain are expressed with + +32 +00:03:04,160 --> 00:03:08,580 +two closely associated transmembrane molecules + +33 +00:03:08,580 --> 00:03:13,850 +بالإضافة إليهم فيه Transmembrane molecule الأولان + +34 +00:03:13,850 --> 00:03:19,910 +يسمو immunoglobulin α أو CD79A والتاني يسمو + +35 +00:03:19,910 --> 00:03:25,050 +immunoglobulin β أو 79B and they referred to as + +36 +00:03:25,050 --> 00:03:30,390 +a pre-B cell receptor بيعتبروا collectively pre-B + +37 +00:03:30,390 --> 00:03:35,690 +cell receptor ومسؤولين عن ال signal transduction + +38 +00:03:35,690 --> 00:03:43,520 +في هذه المرحلة طبعا الـ pre B cell في على سطحها سابقا + +39 +00:03:43,520 --> 00:03:55,340 +اللي هو CD10 بالإضافة لـ CD19 لكن CD10 فقط بيكون + +40 +00:03:55,340 --> 00:04:03,000 +في بداية المرحلة إنما في later stages خلاص بينتهي + +41 +00:04:03,000 --> 00:04:09,820 +الـ CD10 ولا يتواجد على سطح الخلية عشان هيك بيعتبروه + +42 +00:04:09,820 --> 00:04:13,820 +هو عبارة عن marker of early stages of B cell + +43 +00:04:13,820 --> 00:04:19,000 +differentiation اللي فيها إنها على سطح الخلية اللي + +44 +00:04:19,000 --> 00:04:24,160 +هو immunoglobulin أو الـ surface immunoglobulin + +45 +00:04:24,160 --> 00:04:30,380 +Alpha و Beta بالإضافة إلى الـ mu chain مرتبطة بسرقة + +46 +00:04:30,380 --> 00:04:38,340 +lighted chain لأ بس في بعيد هيكة ال clearly واضحة + +47 +00:04:38,340 --> 00:04:43,880 +إنه في الـ V pre B اللي اتكونت مرتبطة مع delta + +48 +00:04:43,880 --> 00:04:49,020 +five هو عبارة عن product of none + +49 +00:04:51,600 --> 00:04:59,060 +اللي مع بعض بيمثلوا الـ function of ايش of lighted + +50 +00:04:59,060 --> 00:05:01,940 +chain سارنوجيت lighted chain هنشوفها إن شاء الله + +51 +00:05:01,940 --> 00:05:05,420 +في الـ figure القادم هلاجي إن الـ lighted chain + +52 +00:05:05,420 --> 00:05:14,420 +تتكون من delta five مع الـ V pre B وبعد هي تتحول + +53 +00:05:14,420 --> 00:05:18,020 +الـ lighted chain الحقيقية سارنوجيت lighted chain + +54 +00:05:18,020 --> 00:05:18,700 +مرحلية + +55 +00:05:21,770 --> 00:05:26,610 +الـ بروتين تايرونين كاينيز هو عبارة عن إنزيم موجود + +56 +00:05:26,610 --> 00:05:31,490 +بالعبارة كبير في الـ intracellular signaling من + +57 +00:05:31,490 --> 00:05:38,250 +الـ pre BCR طبعا من سطح الخلية إلى الـ نيوكلياس + +58 +00:05:38,250 --> 00:05:43,870 +الـ pre B هذا الانزيم بالعكسية كروشيا رول هذا + +59 +00:05:43,870 --> 00:05:48,880 +كروشيا رول in transition انتقال الخلية من مرحلة إلى + +60 +00:05:48,880 --> 00:05:54,780 +مرحلة التالية إلى مرحلة التالية في الـ + +61 +00:05:54,780 --> 00:06:00,240 +differentiation وفي بعض الناس الأطفال عندهم + +62 +00:06:00,240 --> 00:06:04,260 +mutation في هذا الـ enzyme في الـ gene تبع هذا الـ + +63 +00:06:04,260 --> 00:06:08,100 +enzyme وبالتالي بيصير عندهم immunodeficiency وحيث + +64 +00:06:08,100 --> 00:06:11,240 +إنه عبارة عن X-linked E-Gamma Globulinemia بيصير + +65 +00:06:11,240 --> 00:06:15,020 +عندهم مرض بهذا الاسم في هذه الحالة الـ B lymphocyte + +66 +00:06:15,020 --> 00:06:18,200 +differentiation is arrested مافي عندهم B + +67 +00:06:18,200 --> 00:06:22,460 +lymphocyte و تبقى الخلية في مرحلة الـ pre-B cell + +68 +00:06:22,460 --> 00:06:27,580 +stage in + +69 +00:06:27,580 --> 00:06:31,200 +the next stage of differentiation تبدأ lighted + +70 +00:06:31,200 --> 00:06:36,640 +chain gene to rearrange وستبقى lighted chain + +71 +00:06:36,640 --> 00:06:41,860 +synthesis is shut down خلاص مافيش داعي و kappa + +72 +00:06:42,450 --> 00:06:47,590 +و lambda chain are formed و they are then + +73 +00:06:47,590 --> 00:06:52,010 +associated with a new chain و هذا بيؤدي إلى الـ + +74 +00:06:52,010 --> 00:06:56,330 +formation of a new immunoglobulin و هو IgM which + +75 +00:06:56,330 --> 00:07:00,710 +is expressed on the surface of the cell بالإضافة + +76 +00:07:00,710 --> 00:07:04,810 +إلى ذلك و هو عبارة عن marker بالإضافة لذلك الخلية + +77 +00:07:04,810 --> 00:07:08,890 +هذه الخلية هي عبارة عن immature B cell لكنها تكتسب + +78 +00:07:08,890 --> 00:07:16,290 +على سطح CD جديد وهو CD20 which is also expressed + +79 +00:07:16,290 --> 00:07:22,650 +on the next stage of differentiation إذا + +80 +00:07:22,650 --> 00:07:27,690 +الـ immature B cell اللي تبعجين عليها ارتبطت لأنه + +81 +00:07:27,690 --> 00:07:32,250 +صار على سطحها IgM antibody + +82 +00:07:33,190 --> 00:07:37,850 +إذا هذا الـ antibody أو هذه الخلية اللي على سطحها + +83 +00:07:37,850 --> 00:07:41,610 +IgM ارتبطت بـ self-antigen it's generally + +84 +00:07:41,610 --> 00:07:46,790 +inactivated بس اللي هيقلش inactivity inactivation + +85 +00:07:46,790 --> 00:07:50,970 +يوم ما ترتبط بيقلش بـ self-antigen يا inactivation + +86 +00:07:50,970 --> 00:07:54,870 +يا إما deletion وطبعا كنا بنعرف إن هذه المرحلة هي + +87 +00:07:54,870 --> 00:07:59,490 +عبارة عن central tolerance ماشي بيسموا هذه المرحلة + +88 +00:07:59,490 --> 00:08:05,580 +negative selection طبعا في هذه الحالة الغالية جابل + +89 +00:08:05,580 --> 00:08:10,240 +مثلا deletion or inactivation + +90 +00:08:10,240 --> 00:08:15,940 +بتمر في مرحلة بتحاول تصلح نفسها فبتعمل receptor + +91 +00:08:15,940 --> 00:08:20,060 +editing receptor editing نفس الـ lighted chain بتقع + +92 +00:08:20,060 --> 00:08:24,940 +يتمصفطها مرة ثانية تصفيطها جديدة ومغيرة الـ affinity + +93 +00:08:24,940 --> 00:08:29,020 +of the molecule to the self-antigen بحيث إنه she + +94 +00:08:29,020 --> 00:08:33,980 +is not responding to self-antigen إذا نجحت بتظل إذا + +95 +00:08:33,980 --> 00:08:38,780 +ما نجحت مثلًا هي deletion by apoptosis يعني مينجو + +96 +00:08:38,780 --> 00:08:42,140 +سينج كل اللي بتعمل إنها بتغير الـ specificity of + +97 +00:08:42,140 --> 00:08:47,780 +the IgM produced على السطح اللي موجود على السطح + +98 +00:08:47,780 --> 00:08:52,040 +الخلية Recombination + +99 +00:08:52,040 --> 00:08:57,880 +event that occurred during receptor editing ممكن + +100 +00:08:57,880 --> 00:09:01,600 +يكون برضه اللي بده يتولد لأنه بتصفية ثانية اللي + +101 +00:09:01,600 --> 00:09:06,660 +بدها تتصفى التصفية الثانية is also specific for + +102 +00:09:06,660 --> 00:09:13,140 +self either self antigen يعني واحد ثاني ممكن وفي + +103 +00:09:13,140 --> 00:09:16,460 +هذه الحالة زي ما قلنا الخلية بيسلحها deletion or + +104 +00:09:16,460 --> 00:09:21,260 +via ameptosis وبيسموا هذه العملية self tolerance + +105 +00:09:21,260 --> 00:09:25,550 +أو negative selection وغالبا بتصير في الـ primary + +106 +00:09:25,550 --> 00:09:30,390 +lymphoid organs يعني في منطقة التصنيع هو بيسموها + +107 +00:09:30,390 --> 00:09:36,990 +non self molecule في هذه الحالة ال .. ال .. ال .. + +108 +00:09:36,990 --> 00:09:40,750 +يعني إذا كان صارت responding to non self molecule + +109 +00:09:40,750 --> 00:09:43,910 +في هذه الحالة الـ immature B lymphocyte is rescued + +110 +00:09:43,910 --> 00:09:48,930 +تنقذ from the region و بتترك الـ bone marrow و + +111 +00:09:48,930 --> 00:09:52,250 +بيصير جزء من الـ B cell responding to non self + +112 +00:09:52,250 --> 00:09:52,830 +antigen + +113 +00:09:56,530 --> 00:10:00,450 +أيضًا إن شاء الله هنشوفها في فيدة سبعة في cinema + +114 +00:10:00,450 --> 00:10:07,950 +boy 3 اللي هيبقى + +115 +00:10:07,950 --> 00:10:11,650 +يوضح النها بشكل + +116 +00:10:11,650 --> 00:10:18,950 +واضح لكن في كمان نقطة ثانية وشرط ثاني إنه إذا كان + +117 +00:10:18,950 --> 00:10:23,090 +الـ self-antigen was soluble + +118 +00:10:26,090 --> 00:10:29,830 +الخلية اللي هي الـ a mature B lymphocyte ممكن تصير + +119 +00:10:29,830 --> 00:10:36,070 +anergic يعني inactivation for long period و أيضًا + +120 +00:10:36,070 --> 00:10:42,090 +they leave the bone marrow as anergic cell هذه + +121 +00:10:42,090 --> 00:10:46,270 +المرحلة اللي حكينا عليها قبل هيك هي استمثل في + +122 +00:10:46,270 --> 00:10:52,250 +المؤمنات وطبعا تتحول أول مرحلة تنتقل إلى البرو بي + +123 +00:10:52,250 --> 00:10:58,470 +ثم وفي البرو بي ده هي الـ D heavy مع الـ J heavy + +124 +00:10:58,470 --> 00:11:04,130 +ارتبطوا مع بعض ثم بعد ذلك تنتقل إلى البري بي وهي + +125 +00:11:04,130 --> 00:11:09,210 +التسقط فيهم الـ V heavy فصار في عندنا VDJ + +126 +00:11:11,610 --> 00:11:17,310 +وفي هذه الحلقة بيتكون اللي على سطح الخلية طبعا ده + +127 +00:11:17,310 --> 00:11:23,710 +هو الـ pre-B receptor ماشي + +128 +00:11:23,710 --> 00:11:32,310 +مرتبطة بسرعة بـ light chain زائد اللي هو الـ + +129 +00:11:32,310 --> 00:11:38,510 +receptor of pre-B اللي هو immunoglobulin alpha + +130 +00:11:38,510 --> 00:11:44,580 +immunoglobulin beta ده وبعد ذلك تتكون الـ + +131 +00:11:44,580 --> 00:11:49,560 +light chain وهي either Kappa أو Lambda ومافيش + +132 +00:11:49,560 --> 00:11:54,640 +داعي للسلكت light chain اللي هي Delta V pre-B + +133 +00:11:54,640 --> 00:12:01,100 +أو V pre-B فبيصير في عندنا IgM حقيقي زائد اللي هو + +134 +00:12:01,100 --> 00:12:06,360 +الـ coreceptor immunoglobulin Alpha Beta اللي قلنا + +135 +00:12:06,360 --> 00:12:09,910 +مسؤول عن الـ signal transduction بعد ذلك في الـ + +136 +00:12:09,910 --> 00:12:14,190 +mature بيصير في عندنا بالإضافة للـ IgM في IgD طبعا + +137 +00:12:14,190 --> 00:12:17,370 +في هذه المرحلة زي ما قلنا الخلية بيكون على سطحها + +138 +00:12:17,370 --> 00:12:22,990 +IgM وفي هذه الحالة الـ IgM لازم يختبر هل هو + +139 +00:12:22,990 --> 00:12:27,330 +specific for self-antigen إذا for self-antigen + +140 +00:12:27,330 --> 00:12:32,870 +ننسي الموضوع طبعا بسرعة أما Inactivation أو + +141 +00:12:32,870 --> 00:12:39,970 +receptor editing طبعا تصفية جديدة تتغير فيها الـ + +142 +00:12:39,970 --> 00:12:44,730 +specificity وبالتالي إذا طلع تصفية جديدة أيضا + +143 +00:12:44,730 --> 00:12:50,310 +specific for self-antigen بصير لها deletion أو بصير + +144 +00:12:50,310 --> 00:12:55,550 +لها anergy وبصير لها Inactivation for long period + +145 +00:12:55,550 --> 00:13:01,410 +بعد ذلك كده كما تشاهدون IgM و IgD على سطحها وإذا في + +146 +00:13:01,410 --> 00:13:04,790 +هذه المرحلة تنزل على البرفع الـ circulation إذا + +147 +00:13:04,790 --> 00:13:10,330 +كان صار فيه تعرضت لـ antigen تتنشط إلى plasma cell + +148 +00:13:10,330 --> 00:13:14,370 +و memory cell plasma cell و memory cell في الـ + +149 +00:13:14,370 --> 00:13:17,930 +memory cell ممكن يصير إذا تعرضت مرة ثانية لـ + +150 +00:13:17,930 --> 00:13:21,770 +antigen هي إذا اتحولت لـ plasma cell ممكن يصير في + +151 +00:13:21,770 --> 00:13:27,050 +isotype switching وتجلب الـ antibody يجلب من IgM لـ + +152 +00:13:27,050 --> 00:13:28,970 +IgG IgA IgE + +153 +00:13:31,360 --> 00:13:35,380 +طبعا في هذه الحالة الـ plasma cell تتكون في مرحلة + +154 +00:13:35,380 --> 00:13:42,200 +ثانية ما بس تعمل secretion لفرضيش + +155 +00:13:42,200 --> 00:13:48,820 +antibody إنما في الأولى ممكن تعمل secretion هو هاي + +156 +00:13:48,820 --> 00:13:52,060 +الفكرة اللي وضحتلكم عنها هاي الخلية + +157 +00:13:54,480 --> 00:14:00,140 +إذا كانت تعرضت لـ self-antigen إذا كانت تعرضت لـ + +158 +00:14:00,140 --> 00:14:04,820 +self-antigen إذا كانت تعرضت لـ self-antigen إذا + +159 +00:14:04,820 --> 00:14:05,020 +كانت تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +160 +00:14:05,020 --> 00:14:05,060 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +161 +00:14:05,060 --> 00:14:05,080 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +162 +00:14:05,080 --> 00:14:05,160 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +163 +00:14:05,160 --> 00:14:06,400 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +164 +00:14:06,400 --> 00:14:06,820 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +165 +00:14:06,820 --> 00:14:11,960 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +166 +00:14:11,960 --> 00:14:18,220 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +167 +00:14:18,220 --> 00:14:23,020 +-antigen إذا كان أو الـ receptor editing تقدم نوعية + +168 +00:14:23,020 --> 00:14:30,380 +جديدة بـ reactivation لـ VDJ recombination ثم يصبح + +169 +00:14:30,380 --> 00:14:36,980 +الـ receptor جديد لـ Non-self وهذه + +170 +00:14:36,980 --> 00:14:41,460 +الصورة التي قلنا عنها برضه تمر هذا الـ structural + +171 +00:14:41,460 --> 00:14:47,120 +antibody IgM في الـ pre-B يكون هناك سلسلة light + +172 +00:14:47,120 --> 00:14:52,940 +chain هذه عبارة عن pre-B مع Delta 5 ماشي ده هي + +173 +00:14:52,940 --> 00:14:56,560 +لكن في الـ mature أو الـ immature مرحلة اللي بعدها + +174 +00:14:56,560 --> 00:15:01,060 +ده هي بيتكون الـ light chain تتصفط الجينات و + +175 +00:15:01,060 --> 00:15:07,200 +بيصير في shutdown لمين؟ للـ V pre-B Delta 5 وبتديني + +176 +00:15:07,200 --> 00:15:11,040 +أما Kappa أو أما Lambda في طبعا هذه المرحلة زي ما + +177 +00:15:11,040 --> 00:15:14,800 +انتوا شايفين الـ pre-B receptor الموجود اللي هو + +178 +00:15:14,800 --> 00:15:19,100 +signal transducer من أغلب الـ Alpha ومن أغلب الـ + +179 +00:15:19,100 --> 00:15:19,700 +Beta + +180 +00:15:23,360 --> 00:15:25,960 +على مستوى الـ B-cell الانتيجينية التقليدية + +181 +00:15:25,960 --> 00:15:33,840 +الانتيجينية + +182 +00:15:33,840 --> 00:15:35,520 +الانتيجينية الانتيجينية الانتيجينية + +183 +00:15:35,520 --> 00:15:36,200 +الانتيجينية الانتيجينية الانتيجينية + +184 +00:15:36,200 --> 00:15:36,800 +الانتيجينية الانتيجينية الانتيجينية + +185 +00:15:36,800 --> 00:15:37,020 +الانتيجينية الانتيجينية الانتيجينية + +186 +00:15:37,020 --> 00:15:37,060 +الانتيجينية الانتيجينية الانتيجينية + +187 +00:15:37,060 --> 00:15:38,120 +الانتيجينية الانتيجينية الانتيجينية + +188 +00:15:38,120 --> 00:15:40,740 +الانتيجينية الانتيجينية الانتيجينية + +189 +00:15:40,740 --> 00:15:46,800 +الانتيجينية الانتيجينية الانتيجينية + +190 +00:15:46,950 --> 00:15:52,490 +والـ activation اللي بيصير بعدها after exposure to + +191 +00:15:52,490 --> 00:15:56,370 +the antigen بيصير activation which lead to new + +192 +00:15:56,370 --> 00:15:59,050 +proliferation and differentiation into plasma cell + +193 +00:15:59,050 --> 00:16:03,690 +and the cell that synthesize and secrete antibody + +194 +00:16:03,690 --> 00:16:09,170 +في الـ primary response to antigen الـ antibody + +195 +00:16:09,170 --> 00:16:20,190 +predominantly is IgM IgG و IgA secreting plasma + +196 +00:16:20,190 --> 00:16:26,690 +سيله مصادرة في مركز الجرم من الانفلاك والانفلاك وال + +197 +00:16:26,690 --> 00:16:31,550 +الانفلاك والانفلاك والانفلاك والانفلاك وال + +198 +00:16:31,550 --> 00:16:32,110 +الانفلاك والانفلاك والانفلاك والانفلاك وال + +199 +00:16:32,110 --> 00:16:32,930 +الانفلاك والانفلاك والانفلاك والانفلاك وال + +200 +00:16:32,930 --> 00:16:32,950 +الانفلاك والانفلاك والانفلاك والانفلاك وال + +201 +00:16:32,950 --> 00:16:34,570 +الانفلاك والانفلاك والانفلاك والانفلاك وال + +202 +00:16:34,570 --> 00:16:41,790 +الانفلاك والانفلاك وال + +203 +00:16:41,790 --> 00:16:42,410 +الانفلاك + +204 +00:16:47,460 --> 00:16:53,000 +وهذه المجالات تقدم حماية للدم من خلال اكتشاف ثانوي + +205 +00:16:53,000 --> 00:16:58,260 +للفيروس والبكتيريا يعني الخلية ما دامت انشطت ممكن + +206 +00:16:58,260 --> 00:17:02,800 +تتحول لبلازما سيل وبعدين تتهاجر تتحول لبلازما سيل في + +207 +00:17:02,800 --> 00:17:06,100 +الـ germinal center ثم بعد ذلك of lymph node and + +208 +00:17:06,100 --> 00:17:08,540 +spleen ثم بعد ذلك تتهاجر على الـ bone marrow وتقعد + +209 +00:17:08,540 --> 00:17:14,370 +هناك تعشش هناك وهناك بتولدنا كمية كبيرة من الـ IgG + +210 +00:17:14,370 --> 00:17:20,030 +والـ IgA اللي يحمينا من الانفكار الثانوي بلازما سيل + +211 +00:17:20,030 --> 00:17:26,890 +اللي يشبه الـ IgA الديماري اللي يحمي الوضع + +212 +00:17:26,890 --> 00:17:32,930 +الـ mucousal في الـ GIT والعقل الهضمي والسليفري + +213 +00:17:32,930 --> 00:17:44,140 +والدير والجلد الميموريال الخلية الموجودة في هذه + +214 +00:17:44,140 --> 00:17:50,840 +المناطق هي IgA + +215 +00:17:50,840 --> 00:17:52,820 +الخلية الموجودة في هذه المناطق هي IgA الخلية + +216 +00:17:52,820 --> 00:18:00,220 +الموجودة في هذه المناطق هي IgA IgA IgA IgA IgA IgA + +217 +00:18:00,220 --> 00:18:08,420 +IgA IgA + +218 +00:18:08,420 --> 00:18:08,580 +IgA IgA IgA IgA IgA IgA IgA IgA IgA IgA IgA + +219 +00:18:08,580 --> 00:18:08,740 +IgA IgA IgA IgA IgA IgA IgA IgA IgA IgA IgA + +220 +00:18:08,740 --> 00:18:08,940 +IgA IgA IgA IgA IgA IgA IgA IgA IgA IgA IgA + +221 +00:18:08,940 --> 00:18:10,920 +IgA IgA IgA IgA IgA IgA IgA Ig بإمكانها أن تكون + +222 +00:18:10,920 --> 00:18:22,100 +اكتبتة فقط بسبب اتفاق ثانوية إلى نفس الانتيجن و + +223 +00:18:22,100 --> 00:18:23,940 +بإمكانها أن تكون اكتبتة فقط بسبب اتفاق ثانوية إلى + +224 +00:18:23,940 --> 00:18:24,700 +نفس الانتيجن و بإمكانها أن تكون اكتبتة فقط بسبب + +225 +00:18:24,700 --> 00:18:26,040 +اتفاق ثانوية إلى نفس الانتيجن و بإمكانها أن تكون + +226 +00:18:26,040 --> 00:18:30,240 +اكتبتة فقط بسبب اتفاق ثانوية إلى نفس الانتيجن و + +227 +00:18:30,240 --> 00:18:31,900 +بإمكانها أن تكون اكتبتة فقط بسبب اتفاق ثانوية إلى + +228 +00:18:31,900 --> 00:18:33,880 +نفس الانتيجن و بإمكانها أن تكون اكتبتة فقط بسبب + +229 +00:18:33,880 --> 00:18:37,880 +اتفاق ثانوية إلى نفس الانتيجن و بإ + +230 +00:18:51,150 --> 00:18:58,110 +بنبدأ ببلازما سيل ممكن نقول لها تلت طرق تلت نهايات + +231 +00:18:58,110 --> 00:19:01,730 +النهاية الأولية إنها تتكون في الـ germinal center + +232 +00:19:01,730 --> 00:19:06,210 +وتبدأ تكوين لنا طبعا الـ lymph node أو الـ spleen و + +233 +00:19:06,210 --> 00:19:08,990 +تبدأ بعد ذلك تهاجر على الـ bone marrow وتتعشش في + +234 +00:19:08,990 --> 00:19:11,730 +الـ bone marrow وتتكون لنا كميات كبيرة من الـ IgG + +235 +00:19:11,730 --> 00:19:16,450 +و IgE اللي ممكن يدفعونها bone subsequent exposure + +236 +00:19:16,450 --> 00:19:19,650 +to secondary infection نوع كام اللي بلازما سيل + +237 +00:19:19,650 --> 00:19:24,440 +بيهاجر عليها اللي هو بيمتج الـ dimeric IgA اللي هو + +238 +00:19:24,440 --> 00:19:29,200 +موجود في كل ميوكوزا الـ surfaces تبعت الـ GIT و + +239 +00:19:29,200 --> 00:19:33,440 +الـ RT موجود أخرجا في الـ salivary gland الـ tears + +240 +00:19:33,440 --> 00:19:37,880 +والـ lactating mammary gland وكل ده عبارة عن في + +241 +00:19:37,880 --> 00:19:42,420 +المالت ميوكوزا associated with inflammation النوع + +242 +00:19:42,420 --> 00:19:47,660 +التالي من الـ memory cell اللي هي الـ plasma cell + +243 +00:19:47,660 --> 00:19:52,230 +اللي بيمتج عن طريق الـ memory cell الميموريسل هي + +244 +00:19:52,230 --> 00:19:57,070 +عبارة عن خلية يعني بتعيش كتير وبتنشط upon + +245 +00:19:57,070 --> 00:20:02,190 +secondary exposure to infection with the same + +246 +00:20:02,190 --> 00:20:05,190 +antigen وبيطلع لنا كل أنواع بيصير فيها class + +247 +00:20:05,190 --> 00:20:07,790 +switching هذه وبيطلع لنا كل أنواع الـ antibody + +248 +00:20:07,790 --> 00:20:15,030 +معدل IgM و IgD وبنعرفها بوجود الـ CD27 على سطحها + +249 +00:20:19,990 --> 00:20:26,910 +الـ B-cells which interact with T-cells تتنشط تطلع + +250 +00:20:26,910 --> 00:20:32,370 +سايتوكاين تتعامل بـ class switching وتفرز على كل + +251 +00:20:32,370 --> 00:20:37,190 +الـisotype IgG، IgA، IgE لما فيه هنا class + +252 +00:20:37,190 --> 00:20:41,470 +switching وفيه سايتوكاين وفيه أنتيجين الـisotype + +253 +00:20:41,470 --> 00:20:43,870 +switching تتعامل بميكانيزية الـrearrangement + +254 +00:20:46,000 --> 00:20:50,000 +Unique to B cell فقط هذه التصفيتة تحدث في B cell + +255 +00:20:50,000 --> 00:20:58,220 +ماذا يحدث فيها أن ال VDJ Heavy اللي مرتبطة كانت + +256 +00:20:58,220 --> 00:21:02,820 +بال constant Mu و constant Delta بس لها + +257 +00:21:02,820 --> 00:21:07,660 +Rearrangement عشان ترتبط من another constant + +258 +00:21:07,660 --> 00:21:13,380 +region gene اللي ممكن يكون C Gamma constant Gamma + +259 +00:21:13,380 --> 00:21:19,040 +or constant Alpha or constant Epsilon الـ B-cell + +260 +00:21:19,040 --> 00:21:24,560 +كانت تتصنع لنا IgM و IgD، الآن بتصير تصنع لنا + +261 +00:21:24,560 --> 00:21:29,440 +another or different antibody اللي هو IgG، IgE أو + +262 +00:21:29,440 --> 00:21:36,140 +IgA، لكن شرط أساسي إنه they have to be having the + +263 +00:21:36,140 --> 00:21:39,080 +same antigenic specificity. + +264 +00:21:40,760 --> 00:21:43,960 +في هذه المرحلة بيصير فيه Somatic Hypermutation. + +265 +00:21:47,150 --> 00:21:52,630 +التي تسمى كـ Antibody-Variable-Gen بيصير في الـ + +266 +00:21:52,630 --> 00:21:57,330 +Germinal, Central وSecondary لمفاوي الأعضاء وهذا + +267 +00:21:57,330 --> 00:22:01,950 +ينتهي في الانتقال أو B-cell بميوتيشن في مجلد الـ + +268 +00:22:01,950 --> 00:22:07,150 +Immunoglobulin Variable-Gen واللي بيصير في الـ + +269 +00:22:07,150 --> 00:22:10,570 +Somatic Hyper-Mutation أنه بيتولد Antibody with + +270 +00:22:10,570 --> 00:22:15,610 +higher affinity for the antigen يعني بيتحسن قدرته + +271 +00:22:15,610 --> 00:22:19,770 +على الارتباط بالانتيجن than the original B cell + +272 +00:22:19,770 --> 00:22:26,210 +بسموا هذه الحالة affinity maturation وطبعا هذه + +273 +00:22:26,210 --> 00:22:33,970 +الخلايا كانت تتطور ماشي memory cell و plasma cell + +274 +00:22:33,970 --> 00:22:38,790 +into + +275 +00:22:38,790 --> 00:22:45,540 +a single B lymphocyte الـ Heavy Chain هو مخصص لـ + +276 +00:22:45,540 --> 00:22:51,800 +Heavy Chain Gene Segment اللي موجودة إما .. اللي + +277 +00:22:51,800 --> 00:22:59,000 +جاية إما من مصادر المادة أو من كروموسوم مصادر المادة + +278 +00:22:59,000 --> 00:23:05,680 +الـ Light Chain هو أيضًا مخصص لـ Light Chain Gene + +279 +00:23:05,680 --> 00:23:11,880 +Segment اللي أيضًا موجودة على إما مصادر المادة أو + +280 +00:23:13,440 --> 00:23:17,380 +maternal chromosome طبعا احنا بناخد في هذه الحالة + +281 +00:23:17,380 --> 00:23:20,980 +جينات جاية إما من الأب وإما من الأم وبيسمو هذه + +282 +00:23:20,980 --> 00:23:26,220 +الحالة طبعا جين اللي بيصير فيها gene selection + +283 +00:23:26,220 --> 00:23:32,680 +بيسموها allelic exclusion يعني بنختار جينات أو + +284 +00:23:32,680 --> 00:23:36,220 +جاية جينات من الأم أو من الأب allelic exclusion + +285 +00:23:36,220 --> 00:23:39,280 +وفي هذه الحالة + +286 +00:23:42,150 --> 00:23:48,210 +وحدوث هذا الشيء بيؤكد على أن ال antibody اللي طلع + +287 +00:23:48,210 --> 00:23:52,270 +من ال B lymphocyte has only one antigenic + +288 +00:23:52,270 --> 00:23:57,970 +specificity هذه + +289 +00:23:57,970 --> 00:24:04,510 +عبارة عن جزيئات اللي موجودة في مكالمة B لنفسها و + +290 +00:24:04,510 --> 00:24:08,210 +لو استخدمناها ماذا هي اللي هي عبارة عن خط عبارة عن + +291 +00:24:08,210 --> 00:24:15,830 +B cell surface يعني فيه طبعا ال immunoglobulin heavy + +292 +00:24:15,830 --> 00:24:23,380 +مع light chain إن IgM ده هو ثم الاللي هو الـ + +293 +00:24:23,380 --> 00:24:29,880 +Immunoglobulin Alpha Beta هو برهن CD19 و CD79B + +294 +00:24:29,880 --> 00:24:37,280 +ثم فيه CD21 و CD19 و CD81 ودولة بيعتبروها + +295 +00:24:37,280 --> 00:24:41,120 +بالتلاتة بي سل كورسيبتر وبيعملوا additional + +296 +00:24:41,120 --> 00:24:45,420 +signal Transduction Signal + +297 +00:24:46,850 --> 00:24:50,830 +بالترابطين بال PCR اللي هو PCR الريسبتور اللي فوق + +298 +00:24:50,830 --> 00:24:57,990 +ثم في جزيء الهدف الفقه في ال antigen specific + +299 +00:24:57,990 --> 00:25:06,150 +يعني which combined to antigen و presented to the + +300 +00:25:06,150 --> 00:25:09,670 +T lymphocyte شوفوا كل اللي تحت دول أما C class II + +301 +00:25:09,670 --> 00:25:16,320 +هي present processed ببتايد to CD4-T lymphocyte و + +302 +00:25:16,320 --> 00:25:24,060 +تقبل الـ TCR عن CD4 CD40 غالبا تبقى اتماع CD40 + +303 +00:25:24,060 --> 00:25:29,180 +ligand اللي موجود على الـ T lymphocyte and induce + +304 +00:25:29,180 --> 00:25:35,300 +antibody class switching CD80 و 86 هو بيسموها بي + +305 +00:25:35,300 --> 00:25:40,390 +سبن وان بي سبن تو موليكيلهؤلاء هم كوستيموليولاتوري + +306 +00:25:40,390 --> 00:25:48,470 +جزيء يتعامل مع ال CD28 أو ال CTLA4 جزيء + +307 +00:25:48,470 --> 00:25:50,230 +على سطح T lymphocyte + +308 +00:25:55,310 --> 00:26:01,610 +to fc receptor of for IgG موجود على سطح ال + +309 +00:26:01,610 --> 00:26:07,730 +B lymphocyte لكن هي مش الو مباراة ال receptor لل fc + +310 +00:26:07,730 --> 00:26:13,730 +portion of IgG لكن with low affinity traffic of B + +311 +00:26:13,730 --> 00:26:18,450 +lymphocytes قبل ان ي B lymphocyte circulate through + +312 +00:26:18,450 --> 00:26:22,130 +the blood secondary lymphoid organs primarily + +313 +00:26:22,130 --> 00:26:27,020 +lymph nodes and associated lymphoid tissue زي الـ + +314 +00:26:27,020 --> 00:26:30,700 +payer's patches of the intestine يعني بتطلع من ال + +315 +00:26:30,700 --> 00:26:35,320 +bone marrow على الدم وبتبدأ تلف حوالين من ال .. + +316 +00:26:35,320 --> 00:26:38,040 +to the secondary lymphoid organs from blood + +317 +00:26:38,040 --> 00:26:43,480 +secondary lymphoid organs to the blood وهكذا ال + +318 +00:26:43,480 --> 00:26:51,050 +circulation time تقريبا 12 ساعة في خلال 12 ساعة الـ + +319 +00:26:51,050 --> 00:26:56,170 +B lymphocyte is bring to the antigenic specificity + +320 +00:26:56,170 --> 00:27:00,230 +in contact with antigen في خلال 12 ساعة ستصادف + +321 +00:27:00,230 --> 00:27:06,590 +اللي هو ال antigen إذا صادفت ال antigen ترتبط في + +322 +00:27:06,590 --> 00:27:10,430 +ال antigen وT helper + +323 +00:27:10,430 --> 00:27:15,310 +cell in lymphoid organs + +324 +00:27:19,160 --> 00:27:21,680 +وبتتنشط تصل لـ Proliferation and Differentiation + +325 +00:27:21,680 --> 00:27:26,700 +تتحول لـ Memory Cell وPlasma Cell بيتولدوا في الـ + +326 +00:27:26,700 --> 00:27:30,940 +Germinal Center يعني بتطلع من البون مارو وتلخيصا تطلع + +327 +00:27:30,940 --> 00:27:34,040 +من البون مارو وعلى ال blood ثم ال primary وsecondary + +328 +00:27:34,040 --> 00:27:38,180 +lymphoid organs وبتظل الـ circulation بتظل بتلوف + +329 +00:27:38,180 --> 00:27:43,420 +لغاية ما تصل الى looking for antigen عملية اللى هو + +330 +00:27:43,420 --> 00:27:47,620 +circulation time تقريبا 12 ساعة المفروض تصادف في + +331 +00:27:47,620 --> 00:27:51,360 +ال antigenic specificity تبعتها in contact with + +332 +00:27:51,360 --> 00:27:55,000 +the antigen تشغل في ال antigenic specificity in + +333 +00:27:55,000 --> 00:27:58,720 +contact with the antigen صادفة ال antigen أخدت ما + +334 +00:27:58,720 --> 00:28:02,690 +يسمى بال survival signal وضلت عايشة ما صادفت + +335 +00:28:02,690 --> 00:28:07,250 +الانتيجن it will die by the way إذا كان ما صادفت + +336 +00:28:07,250 --> 00:28:10,530 +الانتيجن في هذه المرحلة it will die لكن هي بتقعد + +337 +00:28:10,530 --> 00:28:14,730 +عشر ساعات بتصادف فيها الانتيجن بتاخده وبتروح على + +338 +00:28:14,730 --> 00:28:20,270 +ال germinal center وهناك بتعمله processing طبعا و + +339 +00:28:20,270 --> 00:28:25,550 +بتقدمه ل T lymphocyte T helper cell وبيسميها + +340 +00:28:25,550 --> 00:28:29,190 +proliferation و differentiation وبتتحول ل memory + +341 +00:28:29,190 --> 00:28:35,570 +cell و plasma cellال memory cell بيهاجر الى + +342 +00:28:35,570 --> 00:28:42,270 +الأنسجة والبلازما cell بيهاجر الى البون مارو وبتبدأ + +343 +00:28:42,270 --> 00:28:49,470 +تولد لنا انتيبادي لفترة طويلة وقلنا البلازما cell + +344 +00:28:49,470 --> 00:28:54,970 +اللي بيصنعلنا IgA بتروح لبيوكوزال تشيوة ال + +345 +00:28:54,970 --> 00:28:58,710 +migration of naive B cell into secondary lymphoid + +346 +00:28:58,710 --> 00:29:03,310 +organs and homing blocking for antigen + +347 +00:29:08,800 --> 00:29:12,460 +اكتفاء مريان باللزمة cell population into tissue + +348 +00:29:16,040 --> 00:29:21,820 +كل العملية مسؤولة عن تكوينها الـ B cell surface of + +349 +00:29:21,820 --> 00:29:24,300 +adhesion molecule and chemokine receptor فهذه + +350 +00:29:24,300 --> 00:29:30,520 +العملية is controlled by the presence of B cell + +351 +00:29:30,520 --> 00:29:35,820 +surface of adhesion molecule تمثل بالـ CD21 and + +352 +00:29:35,820 --> 00:29:41,140 +certain chemokine receptors أيضًا عشان اللي بيطلع + +353 +00:29:41,140 --> 00:29:47,230 +أنه من إيش من T lymphocytes على نييف بي سيل اكسبتر + +354 +00:29:47,230 --> 00:29:54,090 +رقم سبعة الادهيجيو موليكيول ده هو CD62L عبارة عن L + +355 +00:29:54,090 --> 00:29:58,530 +-Selectin والـ CD + +356 +00:29:58,530 --> 00:30:02,890 +4 بي سبن اللي هو عبارة عن انتجرين صار فيه عندنا + +357 +00:30:02,890 --> 00:30:06,530 +Selectin وانتجرين We both Selectin and Integrin + +358 +00:30:06,530 --> 00:30:11,370 +bind to glycoprotein molecule on endothelial cells + +359 +00:30:11,370 --> 00:30:19,550 +of high-endothelial venules يعني + +360 +00:30:19,550 --> 00:30:23,970 +أثناء عملية حركتها وانتقالها من البون مارو على + +361 +00:30:23,970 --> 00:30:26,570 +blood circulation فمسكة مدارين الـ lymphoid organs + +362 +00:30:26,570 --> 00:30:30,890 +اللي بيساعد في عملية تنقلها وجود select وجود اللي + +363 +00:30:30,890 --> 00:30:38,990 +هو adhesion molecule وجود chemokine receptor هنا + +364 +00:30:38,990 --> 00:30:45,610 +طبعا بعد هيك إذا واجهت ال antigen فيها نوعين الـ + +365 +00:30:45,610 --> 00:30:50,690 +Antigen ونوعين الاتفاعل طبعا من فرزه ان انا يولاني + +366 +00:30:50,690 --> 00:30:59,150 +Thymus Dependent Antigen وفي هذه الحالة الخلية + +367 +00:30:59,150 --> 00:31:05,370 +تحتاج التيه البرسيل for ليه ال بيس الينفوسايت طبعا + +368 +00:31:05,370 --> 00:31:07,750 +to synthesize antibody + +369 +00:31:10,340 --> 00:31:14,620 +وهي تي دي بندنت تجعلها تتجهل عقلية عقلية عقلية + +370 +00:31:14,620 --> 00:31:16,120 +تتجهل عقلية تتجهل عقلية تتجهل عقلية + +371 +00:31:16,120 --> 00:31:20,120 +تتجهل عقلية تتجهل عقلية تتجهل عقلية + +372 +00:31:20,120 --> 00:31:23,780 +تتجهل + +373 +00:31:23,780 --> 00:31:27,960 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +374 +00:31:27,960 --> 00:31:29,720 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +375 +00:31:29,720 --> 00:31:30,540 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +376 +00:31:30,540 --> 00:31:38,260 +عقلية + +377 +00:31:38,260 --> 00:31:44,720 +تتجه لتطور مذكرة طويلة بـB-Lymphocytes بـB-Cell و + +378 +00:31:44,720 --> 00:31:51,620 +Plasma Cell أيضًا هي برعاية طويلة برعاية + +379 +00:31:51,620 --> 00:31:56,500 +طويلة برعاية برعاية برعاية لتحميل الانفكام من + +380 +00:31:56,500 --> 00:32:00,760 +البكتيريا والفيروسات ثانيًا هو Thymus Independent + +381 +00:32:00,760 --> 00:32:06,960 +Antigen الخلايا في هذه الحالة لا تحتاج إلى T-cell + +382 +00:32:06,960 --> 00:32:12,320 +لتكويننا Antibody وفقط polysaccharides of bacterial + +383 +00:32:12,320 --> 00:32:19,760 +capsule هو عبارة عن واحد من الانتجنات اللي بيصنع + +384 +00:32:19,760 --> 00:32:24,420 +لنا أو بنشط لنا الـLymphocytes الـ response is + +385 +00:32:24,420 --> 00:32:30,440 +rapid وinvolves synthesis of IgM which can + +386 +00:32:30,440 --> 00:32:35,920 +agglutinate the antigen and fix complement طبعا هذا + +387 +00:32:35,920 --> 00:32:40,620 +يعطي حماية ضد المال بكتيريا و virus infection بس + +388 +00:32:40,620 --> 00:32:45,960 +ما يميزها أن الـ memory الامينولوجية لا تتطور في + +389 +00:32:45,960 --> 00:32:49,160 +هذا النوع + +390 +00:32:49,160 --> 00:32:55,660 +آخر من الخلايا باسمها B1 Cell أو B-one Cell وده عبارة عن + +391 +00:32:55,660 --> 00:32:59,560 +sub population of B cell موجودة غالبا في + +392 +00:32:59,560 --> 00:33:02,780 +البريتونيا الكافيتى والبلولا الكافيتى + +393 +00:33:04,710 --> 00:33:13,810 +هي مجتمعات صغيرة موجودة + +394 +00:33:13,810 --> 00:33:17,170 +في الـSpleen والـLymph Nodes يعني تواجدهم في + +395 +00:33:17,170 --> 00:33:20,810 +الغالب هو عبارة عن Peritoneal and Pleural Cavity + +396 +00:33:20,810 --> 00:33:27,310 +ولكن وجودهم في الـLymph Nodes والـSpleen خفيف في + +397 +00:33:27,310 --> 00:33:35,010 +الاطفال الـB1 Cell مجموعة عادية Low Affinity IgM Poly + +398 +00:33:35,010 --> 00:33:39,590 +specific antibodies في + +399 +00:33:39,590 --> 00:33:47,070 +الـ T independent أو T cell independent Primary + +400 +00:33:47,070 --> 00:33:55,450 +response to many bacteria يعني بدون T cell الـ + +401 +00:33:55,450 --> 00:34:01,060 +B cell أو B one cell sorry بتعتبر مسؤولة for + +402 +00:34:01,060 --> 00:34:06,500 +synthesizing most of natural IgM antibody اللي + +403 +00:34:06,500 --> 00:34:11,660 +موجود في الـ blood في غياب الـ antigen أو الانتجين + +404 +00:34:11,660 --> 00:34:17,140 +برايمرنج الـ sperm cell هي عبارة عن are thought to + +405 +00:34:17,140 --> 00:34:20,600 +play a role as the first line of defense against + +406 +00:34:20,600 --> 00:34:23,440 +systemic bacteria and viral infection بدم هي + +407 +00:34:23,440 --> 00:34:27,140 +موجودة وبتفرز كميات كبيرة من الـ IgM within the + +408 +00:34:27,140 --> 00:34:31,810 +secretion اللي هو البريتونيا والـ Plural Cavity هي + +409 +00:34:31,810 --> 00:34:36,230 +continuous طبعا Secretion لأنها بتلعب دور كبير في + +410 +00:34:36,230 --> 00:34:42,170 +الـ First Line Defense Mechanism. Most B1 Cell are + +411 +00:34:42,170 --> 00:34:45,750 +characterized by the surface تتميز بوجود CD5 + +412 +00:34:45,750 --> 00:34:53,310 +Positive على سطحها وCD5 هو عبارة عن CD بنشوفه على + +413 +00:34:53,310 --> 00:34:57,510 +الخلايا اللي بتكون في chronic lymphocytic leukemia + +414 +00:35:02,290 --> 00:35:06,330 +الارتباط ما بين الـ T والـ B-cell اللي بيصير + +415 +00:35:06,330 --> 00:35:08,510 +predominantly في الـ germinal center في الـ + +416 +00:35:08,510 --> 00:35:14,110 +secondary lymphoid organs بيصير فيه الـ AT نمرا + +417 +00:35:14,110 --> 00:35:17,570 +واحد somatic hyper mutation واحنا اتفقنا أنه + +418 +00:35:17,570 --> 00:35:22,550 +بيصير فيه mutation في الـ V-region بيؤدي إلى الـ + +419 +00:35:22,550 --> 00:35:27,390 +affinity maturation بتحسن الـ affinity لل antibody + +420 +00:35:27,390 --> 00:35:35,290 +نمرا اتنين class switching recombination التي كانت + +421 +00:35:35,290 --> 00:35:40,170 +تتصنع لنا IgM و IgD والآن بتصنع لنا IgG و IgA و + +422 +00:35:40,170 --> 00:35:46,070 +IgE With the same antigenic specificity الحاجة + +423 +00:35:46,070 --> 00:35:50,650 +التالتة في Cytokine released That synthesized by T + +424 +00:35:50,650 --> 00:35:58,950 +cell وهو مسؤول عن الـ isotype antibody Synthesized + +425 +00:35:58,950 --> 00:36:02,710 +يعني هو المسؤول عن which antibody can be + +426 +00:36:02,710 --> 00:36:06,990 +Synthesized يبقى ثلاث حاجات somatic hyper mutation + +427 +00:36:06,990 --> 00:36:15,310 +أو affinity maturation أو maturation affinity ثم + +428 +00:36:15,310 --> 00:36:20,470 +isotype switching ثم cytokine release والثلاثة + +429 +00:36:20,470 --> 00:36:25,910 +بيكونوا موجودين مش مولدين في الـ primary immune + +430 +00:36:25,910 --> 00:36:30,850 +response الـ Antibody synthesize اميوكوزل تشيو + +431 +00:36:30,850 --> 00:36:34,590 +اتفقنا على أن هو عبارة عن الـDimeric IgA + +432 +00:36:34,590 --> 00:36:38,230 +والخلية في هذه الحالة بتكون committed بيسيلت + +433 +00:36:38,230 --> 00:36:45,790 +develop at an inductive states على طول migrate out + +434 +00:36:45,790 --> 00:36:50,970 +of the lymphoid tissue وبيصلها homing back من خلال الـ + +435 +00:36:50,970 --> 00:36:54,470 +blood إلى different mucosal effector sites وهناك + +436 +00:36:54,470 --> 00:37:01,510 +تدينا IgA secreting plasma cell والعملية ببساطة + +437 +00:37:01,510 --> 00:37:08,490 +هذا هي طبعا IgA Antibody Synthesizer دي دخلت الانتجين + +438 +00:37:08,490 --> 00:37:12,070 +تلقفته + +439 +00:37:12,070 --> 00:37:17,170 +طبعا الامعاء سهلت مهمة دخوله + +440 +00:37:19,630 --> 00:37:23,630 +تلقفته الـ M-cell وقدمته لمين؟ لـ Dendritic cell + +441 +00:37:23,630 --> 00:37:26,730 +والـ Dendritic cell هي عبارة عن antigen presenting + +442 +00:37:26,730 --> 00:37:31,450 +cell احنا بنحكي على Peyer's patches inductive sites + +443 +00:37:31,450 --> 00:37:38,550 +فيه كل الخلايا فيه B cell ده هي وفيه T cell طبعا + +444 +00:37:38,550 --> 00:37:47,730 +بيصير فيه proliferation وبتبدأ تتكون plasma cell + +445 +00:37:48,810 --> 00:37:55,150 +which is committed to produce IgA يعني + +446 +00:37:55,150 --> 00:38:00,130 +صار في class switching sorry ثم بتروح تعمل الـ + +447 +00:38:00,130 --> 00:38:07,250 +lymphatic system بتنتقل على الـ blood ومن الـ blood + +448 +00:38:07,250 --> 00:38:11,590 +بتروح على الـ mucosal effector sites وهناك بيصلها + +449 +00:38:11,590 --> 00:38:16,310 +differentiation to plasma cell بتكون من الـ IgA اللي + +450 +00:38:16,310 --> 00:38:21,090 +هو diametric IgA اللي بيصله بيرتبط بالـ Poly + +451 +00:38:21,090 --> 00:38:26,360 +immunoglobulin receptor وهو اللي موجود على الـ + +452 +00:38:26,360 --> 00:38:31,960 +endothelial cell طبعا بعد هيك بيخترقها مرتبط بهذا + +453 +00:38:31,960 --> 00:38:36,320 +الـ receptor وأثناء عملية الاختراق بيتم عملية + +454 +00:38:36,320 --> 00:38:40,120 +تقطيع جزء كبير من الـ Poly immunoglobulin receptor + +455 +00:38:40,120 --> 00:38:44,700 +وده لأن اللي هو الـ diameric immunoglobulin مرتبط + +456 +00:38:44,700 --> 00:38:50,840 +بـ secretory portion لو صار في الـ mycosis تشوف طبعا + +457 +00:38:50,840 --> 00:38:51,420 +external + +458 +00:38:55,310 --> 00:39:00,770 +الـ B cell markers بروتين هو + +459 +00:39:00,770 --> 00:39:07,750 +عبارة + +460 +00:39:07,750 --> 00:39:17,190 +عن ماركر مختلفة من مستوى التطبيقات الـ B cell وهو + +461 +00:39:17,190 --> 00:39:24,630 +CD10, CD19, CD20, CD27 يعني بلازمة الـ membrane + +462 +00:39:24,630 --> 00:39:30,790 +immunoglobulin bind antigen identify B cell + +463 +00:39:30,790 --> 00:39:35,530 +separate B cell from other lymphocyte and + +464 +00:39:35,530 --> 00:39:40,630 +mononuclear cell Membrane + +465 +00:39:40,630 --> 00:39:46,250 +immunoglobulin طبعا برتبط بالـ antigen وبيفصلنا الـ + +466 +00:39:46,250 --> 00:39:52,360 +B lymphocyte عن خلايا أخرى موجودة signal + +467 +00:39:52,360 --> 00:39:55,020 +transduction molecule associated with the membrane + +468 +00:39:55,020 --> 00:40:00,020 +اللي هو عبارة عن immunoglobulin alpha و beta their + +469 +00:40:00,020 --> 00:40:04,800 +cytoplasmic region contain sequence of amino acid + +470 +00:40:04,800 --> 00:40:10,300 +known as immune receptor tyrosine based activation + +471 +00:40:10,300 --> 00:40:17,420 +motif أو بيسموها ITIM و + +472 +00:40:21,800 --> 00:40:27,160 +هذه الاختصارات تسمى أزمتيف لأنها موجودة في آخر + +473 +00:40:27,160 --> 00:40:32,180 +الموليكولات تتعامل + +474 +00:40:32,180 --> 00:40:32,360 +بالتعامل + +475 +00:40:32,360 --> 00:40:32,900 +بالتعامل + +476 +00:40:32,900 --> 00:40:34,140 +بالتعامل + +477 +00:40:34,140 --> 00:40:37,740 +بالتعامل + +478 +00:40:37,740 --> 00:40:38,040 +بالتعامل + +479 +00:40:38,040 --> 00:40:44,480 +بالتعامل + +480 +00:40:44,480 --> 00:40:50,020 +بالتعامل بالت + +481 +00:40:58,610 --> 00:41:04,850 +B cell coreceptor CD19, CD21 are non-covalently + +482 +00:41:04,850 --> 00:41:09,090 +associated in a complex known as B cell coreceptor + +483 +00:41:09,090 --> 00:41:12,670 +الثلاثة اللي شفناهم على الـ cell surface of B + +484 +00:41:12,670 --> 00:41:16,010 +lymphocytes وقلنا دي are coreceptor بيساعدوا في + +485 +00:41:16,010 --> 00:41:22,250 +عملية signal secondary signal transduction + +486 +00:41:24,840 --> 00:41:31,460 +يسمى كـ Coreceptor بيقللوا + +487 +00:41:31,460 --> 00:41:34,320 +من الـ activation of B lymphocytes in response to + +488 +00:41:34,320 --> 00:41:40,200 +antigen تقريبا من قوة ردة فعل B lymphocytes in + +489 +00:41:40,200 --> 00:41:43,860 +response to an antigen لأن موته من الانتجين يحتاج + +490 +00:41:43,860 --> 00:41:50,260 +لإستميال الانتيجن هي تقريبا مائة لألف مرة من مائة + +491 +00:41:50,260 --> 00:41:57,280 +لألف مرة أقل إذا Coreceptor اكتفت مع BCR + +492 +00:41:57,280 --> 00:42:00,620 +كمبارد BCR كمبارد BCR كمبارد BCR + +493 +00:42:00,620 --> 00:42:03,500 +كمبارد BCR كمبارد BCR كمبارد BCR + +494 +00:42:03,500 --> 00:42:04,320 +كمبارد BCR كمبارد BCR كمبارد BCR + +495 +00:42:04,320 --> 00:42:05,360 +كمبارد BCR كمبارد BCR كمبارد BCR + +496 +00:42:05,360 --> 00:42:05,520 +كمبارد BCR كمبارد BCR كمبارد BCR + +497 +00:42:05,520 --> 00:42:10,620 +كمبارد BCR كمبارد BCR كمبارد BCR + +498 +00:42:10,620 --> 00:42:21,340 +كمبار + +499 +00:42:21,630 --> 00:42:26,290 +يحتاج الـ B-Lymphocyte لكمية قليلة من الـ Antigen + +500 +00:42:26,290 --> 00:42:32,410 +أقل مائة مرة لألف مرة عن الكمية اللي بنحتاجها + +501 +00:42:32,410 --> 00:42:36,130 +عشان يتنشط الـ B-Lymphocyte من خلال الـ PCR alone + +502 +00:42:36,130 --> 00:42:42,450 +Binding of bacteria to both the core receptor and + +503 +00:42:42,450 --> 00:42:46,370 +the globulin enhances signal to B-Lymphocyte طبيعي + +504 +00:42:46,370 --> 00:42:52,100 +جدا CD21 is a receptor for complement component + +505 +00:42:52,100 --> 00:42:57,440 +CD3DG اللي بيصل ال generation في البلازما in + +506 +00:42:57,440 --> 00:43:03,200 +response to microbial pathogen اضطباط CD3DG مع + +507 +00:43:03,200 --> 00:43:08,660 +CD21 of the core receptor ايضا enhanced activation + +508 +00:43:08,660 --> 00:43:13,120 +signal delivered to the BCR to the PCR + +509 +00:43:17,870 --> 00:43:22,510 +هذا ال .. هذا ال cell surface ال بي cell + +510 +00:43:22,510 --> 00:43:31,290 +surface بيعتبر PCR وهو ال receptor تبعه أو ال + +511 +00:43:31,290 --> 00:43:38,790 +signal transducer تبعه طبعا هذا الكلام زي ما أنتم + +512 +00:43:38,790 --> 00:43:45,430 +شايفين هو هذا ايضا اللي حكينا عليها ال motif ITAM + +513 +00:43:49,380 --> 00:43:55,620 +وهي الـ CD21 وارتبط الـ CD3DG اللي طبعا في هذا + +514 +00:43:55,620 --> 00:44:03,640 +الحالة بيقولك بينقل ال signal لل BCR اللي ارتبط + +515 +00:44:03,640 --> 00:44:09,940 +وهو ال BCR او ال CD81 اللي برضه جنبه ايوة في هذا + +516 +00:44:09,940 --> 00:44:13,680 +الحالة ال collector collectively هو عبارة عن CD19 + +517 +00:44:13,680 --> 00:44:20,890 +و 21 و 81 وComplement Component CD3D + +518 +00:44:20,890 --> 00:44:28,590 +بيصير في Enhancing لل activation بيصير في Enhancing + +519 +00:44:28,590 --> 00:44:35,450 +لل activation بيصير في Enhancing لل activation بيصير + +520 +00:44:35,450 --> 00:44:38,730 +في Enhancing لل activation بيصير في Enhancing + +521 +00:44:38,730 --> 00:44:39,590 +لل activation بيصير في Enhancing لل activation بيصير + +522 +00:44:39,590 --> 00:44:39,750 +في Enhancing لل activation بيصير في Enhancing + +523 +00:44:39,750 --> 00:44:39,910 +لل activation بيصير في Enhancing لل activation بيصير + +524 +00:44:39,910 --> 00:44:43,550 +في Enhancing لل activation بيصير في Enhan + +525 +00:44:47,140 --> 00:44:51,480 +نقاط خاطئة لـ B-cell antigen مرتبط بالإنينوغلابيلين + +526 +00:44:51,480 --> 00:45:00,380 +antigen + +527 +00:45:00,380 --> 00:45:14,680 +مرتبط + +528 +00:45:14,680 --> 00:45:15,820 +بالإنينوغلابيلين + +529 +00:45:17,720 --> 00:45:28,700 +و الـ Fc portion of antibody component to CD32 + +530 +00:45:28,700 --> 00:45:37,580 +بيؤدي إلى negative signal to the cell فوسفتيز + +531 +00:45:37,580 --> 00:45:41,950 +انزيم تعمل negative signal لالـ CD19 اللي بيقولها + +532 +00:45:41,950 --> 00:45:45,770 +لـ PCR و بيصير فيه إيش إنه mechanism of immunoglobulin + +533 +00:45:45,770 --> 00:45:52,810 +synthesis يعني ارتباط ال ال ال CD32 الموجود على + +534 +00:45:52,810 --> 00:45:56,990 +سطح الخلية اللي قلنا له low affinity لل FC + +535 +00:45:56,990 --> 00:46:03,330 +portion و IGG ممكن يعمل اللي هو shutting down ل ال + +536 +00:46:03,330 --> 00:46:06,290 +immune receptor + +537 +00:46:14,080 --> 00:46:19,040 +Molecules involved in T-Cell-B-Cell interaction + +538 +00:46:19,040 --> 00:46:24,040 +شفناهم برضه على الـ cell membrane of the B-cell in + +539 +00:46:24,040 --> 00:46:26,300 +addition to immunoglobulin synthesis الـ B-cell + +540 +00:46:26,300 --> 00:46:30,040 +can act as antigen presenting cell تطبق ايش؟ + +541 +00:46:30,040 --> 00:46:32,880 +بتشترك ك antigen presenting cell بتقدم ال antigen + +542 +00:46:32,880 --> 00:46:40,540 +ل CD4 T-Helper cell و بتتنشط ال B-cell و + +543 +00:46:43,000 --> 00:46:47,320 +من خلال ارتباطها طبعا بالـ Antigen و CD4 T + +544 +00:46:47,320 --> 00:46:53,040 +-Lymphocytes طبعا بي سيل في هذا الحالة اكسبرس تعمل + +545 +00:46:53,040 --> 00:46:57,420 +Class II موليكيوم هيربط بالبيبتايد لرد من + +546 +00:46:57,420 --> 00:47:03,020 +البروتين Antigen و هيقدمها ل CD4 T-Lymphocytes + +547 +00:47:03,020 --> 00:47:06,640 +اكتبرت ايضا بي سيل اكسبرس high level of + +548 +00:47:06,640 --> 00:47:10,280 +costimulatory molecules that are required for long + +549 +00:47:10,280 --> 00:47:15,610 +along with the antigen يعني في اللي هو second + +550 +00:47:15,610 --> 00:47:23,630 +signal بيسبن وبرانكستيب الاتري موليكيول بيرتبط على + +551 +00:47:23,630 --> 00:47:24,810 +ال بي الانفسايد + +552 +00:47:28,740 --> 00:47:33,340 +CD40 موجود كـ Co-stimulatory موليكيول أيضًا موجود + +553 +00:47:33,340 --> 00:47:37,460 +على سطح الـ T-Lymphocyte CD40 بتبت بالـ CD40 + +554 +00:47:37,460 --> 00:47:43,940 +Ligand هو ما يسمى CD154 موجود على سطح الـ T + +555 +00:47:43,940 --> 00:47:49,160 +-Lymphocyte وهي لسه Interaction بلعب دور كبير، ان + +556 +00:47:49,160 --> 00:47:55,290 +Critical لأRole بلعب دور كبير ومهم جدا A critical + +557 +00:47:55,290 --> 00:48:01,530 +role in isotype switching وده + +558 +00:48:01,530 --> 00:48:06,870 +الأخر حاجة اللي هو Induced costimulatory ligand هو + +559 +00:48:06,870 --> 00:48:10,390 +عبارة عن another important costimulatory molecule + +560 +00:48:10,390 --> 00:48:14,550 +موجود على سطح ال medium for sites برتبك + +561 +00:48:14,550 --> 00:48:17,290 +بcostimulatory + +562 +00:48:19,070 --> 00:48:23,610 +مع الـ Induced Co-Stimulatory اللي موجود على سطح + +563 +00:48:23,610 --> 00:48:29,450 +الـ T lymphocytes بيعتبر + +564 +00:48:29,450 --> 00:48:33,210 +اللي هو Critical for the formation of Germinal + +565 +00:48:33,210 --> 00:48:40,130 +Center Activation الناس اللي ماعندهمش Inducer او + +566 +00:48:40,130 --> 00:48:45,470 +Inducible Co-Stimulatory Ligand او Inducible Co + +567 +00:48:45,470 --> 00:48:51,010 +-Stimulatory Molecule بعمل مستوى عالي جدا من IGA + +568 +00:48:51,010 --> 00:48:57,310 +IGA IGG IGG + +569 +00:48:57,310 --> 00:49:00,750 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +570 +00:49:00,750 --> 00:49:00,870 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +571 +00:49:00,870 --> 00:49:00,950 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +572 +00:49:00,950 --> 00:49:04,470 +IGG IGG IGG IGG IGG IG diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..be64be98e82cfcb56af612084be56c34649fb31b --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg_postprocess.srt @@ -0,0 +1,2288 @@ +1 +00:00:02,820 --> 00:00:08,200 +بسم الله الرحمن الرحيم نلتقى اليوم في محاضرة جديدة + +2 +00:00:08,200 --> 00:00:15,840 +بعنوان biology of B cell بالنسبة + +3 +00:00:15,840 --> 00:00:19,520 +لل B lymphocyte ال B lymphocyte بسلها + +4 +00:00:19,520 --> 00:00:21,500 +proliferation and differentiation في ال bone + +5 +00:00:21,500 --> 00:00:24,680 +marrow تنشأ في ال bone marrow و بسلها + +6 +00:00:24,680 --> 00:00:27,740 +differentiation في ال bone marrow وتبقى في ال bone + +7 +00:00:27,740 --> 00:00:33,500 +marrow أثناء عملية تطورها تكتسبتمر بعدد مراحل في + +8 +00:00:33,500 --> 00:00:38,420 +هذه المراحل تفتسب فيها different CD على سطح هذه + +9 +00:00:38,420 --> 00:00:48,260 +الخلية نتعرف عليها من خلال هذه الـ CD الأول + +10 +00:00:48,260 --> 00:00:55,780 +مرحلة من مراحل تطور هذه الخلية هي الـ Pro Bو في + +11 +00:00:55,780 --> 00:00:59,600 +هذه المرحلة يبدأ تصفية الجينات المسؤولة عن الـ + +12 +00:00:59,600 --> 00:01:04,880 +Heavy Chain Gene Rearrangement و بتتم على مرحلتين + +13 +00:01:04,880 --> 00:01:10,120 +الـ Heavy Chain Gene أول مرحلة بترتبط الـ D-Heavy + +14 +00:01:10,120 --> 00:01:16,980 +Segment مع الـ J-Heavy Gene Segment + +15 +00:01:21,490 --> 00:01:27,590 +بعد ذلك يتم ارتباطهم مع ال V انما في هذه المرحلة + +16 +00:01:27,590 --> 00:01:33,810 +فقط يتم ارتباط ال DV مع ال GV وتكتسب في هذه + +17 +00:01:33,810 --> 00:01:40,110 +المرحلة CD على سطحها بسموه CD 19 وهذا ال CD بيظل + +18 +00:01:40,110 --> 00:01:45,270 +على سطحها طول فترة المراحل القادمة إضافة إلى CD 19 + +19 +00:01:45,270 --> 00:01:53,170 +تكتسب أيضا CD 10ففي على سطحها CD 19 و CD 10 مرحلة + +20 +00:01:53,170 --> 00:01:58,610 +اللي بعدها اللي هي Libre B وفي هذه المرحلة ال V هي + +21 +00:01:58,610 --> 00:02:05,670 +VG تبدأ تتصفت و ترتبط مع ال DG ال segment اللي + +22 +00:02:05,670 --> 00:02:09,930 +اتكونت في المرحلة اللي سبقتها وبالتالي بيصير في + +23 +00:02:09,930 --> 00:02:16,160 +عندنا VDJهذا الـ segment اللي مسؤول عن variable + +24 +00:02:16,160 --> 00:02:20,500 +region مرتبط بال constant gene و أول أقرب gene له + +25 +00:02:20,500 --> 00:02:27,300 +هو Cconstant Mu هو Constant Mu فبيتكون عندنا VDG + +26 +00:02:27,300 --> 00:02:34,420 +Constant Mu وبالتالي هذا التصفيطة بتكون عندنا + +27 +00:02:34,420 --> 00:02:40,260 +الميو chain وهذه الميو chains اللي لها expression + +28 +00:02:40,260 --> 00:02:45,340 +على surface of pre Bمرتبطة بـ surrogate lighted + +29 +00:02:45,340 --> 00:02:48,320 +chain سروجة lighted chain هي ورا عن lighted chain + +30 +00:02:48,320 --> 00:02:57,880 +مديلة مؤقتة على سطح الـ pre-b cell surface الموت + +31 +00:02:57,880 --> 00:03:04,160 +شين مع السروجة lighted chain are expressed with + +32 +00:03:04,160 --> 00:03:08,580 +two closely associated transmembrane molecules + +33 +00:03:08,580 --> 00:03:13,850 +بالإضافة إليهمفيه Transmembrane molecule الأولان + +34 +00:03:13,850 --> 00:03:19,910 +يسمو immunoglobulin α أو CD79A والتاني يسمو + +35 +00:03:19,910 --> 00:03:25,050 +immunoglobulin beta أو 79B and they referred to as + +36 +00:03:25,050 --> 00:03:30,390 +a pre-B cell receptor بيعتبروا collectively pre-B + +37 +00:03:30,390 --> 00:03:35,690 +cell receptor ومسؤولين عن ال signal transduction + +38 +00:03:35,690 --> 00:03:43,520 +في هذه المرحلةطبعا البريج بيسل في على سطحها سابقا + +39 +00:03:43,520 --> 00:03:55,340 +اللى هو CD10 بالاضافة لCD19 لكن CD10 فقط بيكون + +40 +00:03:55,340 --> 00:04:03,000 +في بداية المرحلة انما في later stages خلاص بينتهي + +41 +00:04:03,000 --> 00:04:09,820 +ال CD10 ولا يتواجد على سطح الخليةعشان هيك بيعتبروه + +42 +00:04:09,820 --> 00:04:13,820 +هو عبارة عن marker of early stages of B cell + +43 +00:04:13,820 --> 00:04:19,000 +differentiation اللي فيها إنها على سطح الخلية اللي + +44 +00:04:19,000 --> 00:04:24,160 +هو immunoglobulin أو ال surface immunoglobulin + +45 +00:04:24,160 --> 00:04:30,380 +Alpha و Beta بالإضافة إلى ال mu chain مرتبطة بسرقة + +46 +00:04:30,380 --> 00:04:38,340 +lighted chainلأ بس في بعيد هيكة ال clearly واضحة + +47 +00:04:38,340 --> 00:04:43,880 +انه في ال V بري بي اللي اتكونت مرتبطة مع delta + +48 +00:04:43,880 --> 00:04:49,020 +five هو عبارة عن product of none + +49 +00:04:51,600 --> 00:04:59,060 +اللي مع بعض بيمثلوا ال function of ايش of lighted + +50 +00:04:59,060 --> 00:05:01,940 +chain سارنوجيت lighted chain هنشوفها ان شاء الله + +51 +00:05:01,940 --> 00:05:05,420 +في ال figure القادم هلاجي ان ال lighted chain + +52 +00:05:05,420 --> 00:05:14,420 +تتكون من delta five مع ال V بري بي وبعد هي تتحول + +53 +00:05:14,420 --> 00:05:18,020 +ال lighted chain الحقيقية سارنوجيت lighted chain + +54 +00:05:18,020 --> 00:05:18,700 +مرحلية + +55 +00:05:21,770 --> 00:05:26,610 +البروتونز تيروزين كاينيز هو عبارة عن انزعيم موجود + +56 +00:05:26,610 --> 00:05:31,490 +بالعبارة كبير في الـ intracellular signaling من + +57 +00:05:31,490 --> 00:05:38,250 +البري بي سي ار طبعا من سطح الخلية الى ال نيوكلياس + +58 +00:05:38,250 --> 00:05:43,870 +البري بي هذا الانزعيم بالعكسية كروشيا رول هذا + +59 +00:05:43,870 --> 00:05:48,880 +كروشيا رولin transition انتقال الخلية من مرحلة الى + +60 +00:05:48,880 --> 00:05:54,780 +مرحلة التالية الى مرحلة التالية في ال + +61 +00:05:54,780 --> 00:06:00,240 +differentiation وفي بعض الناس الأطفال عندهم + +62 +00:06:00,240 --> 00:06:04,260 +mutation في هذا ال enzyme في ال gene تبع هذا ال + +63 +00:06:04,260 --> 00:06:08,100 +enzyme وبالتالي بيصير عندهم immunodeficiency وحيث + +64 +00:06:08,100 --> 00:06:11,240 +انه عبارة عن X-linked E-Gamma Globulinemia بيصير + +65 +00:06:11,240 --> 00:06:15,020 +عندهم مرض بهذا الاسمفي هذه الحالة الـ B lymphocyte + +66 +00:06:15,020 --> 00:06:18,200 +differentiation is arrested مافي عندهم B + +67 +00:06:18,200 --> 00:06:22,460 +lymphocyte و تبقى الخلية في مرحلة الـ pre-b cell + +68 +00:06:22,460 --> 00:06:27,580 +stage in + +69 +00:06:27,580 --> 00:06:31,200 +the next stage of differentiation تبدأ lighted + +70 +00:06:31,200 --> 00:06:36,640 +chain gene to rearrange وستبقى lighted chain + +71 +00:06:36,640 --> 00:06:41,860 +synthesis is shut down خلاص مافيش داعي and كابا + +72 +00:06:42,450 --> 00:06:47,590 +أولمب ده chain are formed و they are then + +73 +00:06:47,590 --> 00:06:52,010 +associated with a new chain و هذا بيؤدي الى ال + +74 +00:06:52,010 --> 00:06:56,330 +formation of a new immunoglobulin و هو IGM which + +75 +00:06:56,330 --> 00:07:00,710 +is expressed on the surface of the cell بالاضافة + +76 +00:07:00,710 --> 00:07:04,810 +إلى ذلك و هو عبارة عن ماركتوبالاضافة لذلك الخلية + +77 +00:07:04,810 --> 00:07:08,890 +هذه الخلية هي عبارة عن immature B cell لكنها تكتسب + +78 +00:07:08,890 --> 00:07:16,290 +على سطح CD جديد وهو CD20 which is also expressed + +79 +00:07:16,290 --> 00:07:22,650 +on the next stage of differentiation إذا + +80 +00:07:22,650 --> 00:07:27,690 +ال immature B cell اللي تبعجين عليها ارتبطت لأنه + +81 +00:07:27,690 --> 00:07:32,250 +صار على سطحها IgM antibody + +82 +00:07:33,190 --> 00:07:37,850 +إذا هذا الـ antibody أو هذه الخلية اللي على سطحها + +83 +00:07:37,850 --> 00:07:41,610 +IgM ارتبطت ب self-antigen it's generally + +84 +00:07:41,610 --> 00:07:46,790 +inactivated بس اللي هيقلش inactivity inactivation + +85 +00:07:46,790 --> 00:07:50,970 +يوم ما ترتبط بيقلش ب self-antigen يا inactivation + +86 +00:07:50,970 --> 00:07:54,870 +يا إما deletion وطبعا كنا بنعرف إن هذه المرحلة هي + +87 +00:07:54,870 --> 00:07:59,490 +عبارة عن central tolerance ماشي بيسموا هذه المرحلة + +88 +00:07:59,490 --> 00:08:05,580 +negative selectionطبعا في هذه الحالة الغالية جابل + +89 +00:08:05,580 --> 00:08:10,240 +مثلا deletion or inactivation + +90 +00:08:10,240 --> 00:08:15,940 +بتمر في مرحلة بتحاول تصلح نفسها فبتعمل receptor + +91 +00:08:15,940 --> 00:08:20,060 +editing receptor editing نفس ال lighted chain بتقع + +92 +00:08:20,060 --> 00:08:24,940 +يمصفطها مرة تانية تصفيطها جديدة ومغيرة ال affinity + +93 +00:08:24,940 --> 00:08:29,020 +of the molecule to the self-antigen بحيث انه she + +94 +00:08:29,020 --> 00:08:33,980 +is not responding to self-antigenإذا نجحت بتظل إذا + +95 +00:08:33,980 --> 00:08:38,780 +ما نجحت مثلًا هي deletion by apoptosis يعني مينجو + +96 +00:08:38,780 --> 00:08:42,140 +سينج كل اللي بتعمل انها بتغير ال specificity of + +97 +00:08:42,140 --> 00:08:47,780 +the IgM produced على السطح اللي موجود على السطح + +98 +00:08:47,780 --> 00:08:52,040 +الخلية Recombination + +99 +00:08:52,040 --> 00:08:57,880 +event that occurred during receptor editingممكن + +100 +00:08:57,880 --> 00:09:01,600 +يكون برضه اللى بده يتولد لأن هو بتصفية تانية اللى + +101 +00:09:01,600 --> 00:09:06,660 +بدها تتصفى التصفية التانية is also specific for + +102 +00:09:06,660 --> 00:09:13,140 +self either self antigen يعني واحد تاني ممكن وفي + +103 +00:09:13,140 --> 00:09:16,460 +هذه الحالة زى ما قلنا الخلية بيسلحها deletion or + +104 +00:09:16,460 --> 00:09:21,260 +via ameptosis وبيسموا هذه العملية self tolerance + +105 +00:09:21,260 --> 00:09:25,550 +او negative selectionوغالبا بتصير في ال primary + +106 +00:09:25,550 --> 00:09:30,390 +lymphoid organs يعني في منطقة التصنيع هو بيسموها + +107 +00:09:30,390 --> 00:09:36,990 +non self molecule في هذه الحالة ال .. ال .. ال .. + +108 +00:09:36,990 --> 00:09:40,750 +يعني إذا كان صارت responding to non self molecule + +109 +00:09:40,750 --> 00:09:43,910 +في هذه الحالة ال immature B lymphocyte is rescued + +110 +00:09:43,910 --> 00:09:48,930 +تنقذ from the region و بتترك ال bone marrow و + +111 +00:09:48,930 --> 00:09:52,250 +بيصير جزء من ال B cell responding to non self + +112 +00:09:52,250 --> 00:09:52,830 +antigen + +113 +00:09:56,530 --> 00:10:00,450 +أيضا ان شاء الله هنشوفها في فيدة سبعة في cinema + +114 +00:10:00,450 --> 00:10:07,950 +boy 3 اللي هيبقى + +115 +00:10:07,950 --> 00:10:11,650 +يوضح النها بشكل + +116 +00:10:11,650 --> 00:10:18,950 +واضح لكن في كمان نقطة تانية وشرط تاني انه اذا كان + +117 +00:10:18,950 --> 00:10:23,090 +ال self-antigen was soluble + +118 +00:10:26,090 --> 00:10:29,830 +الخلية اللى هى ال a mature B lymphocyte ممكن تصير + +119 +00:10:29,830 --> 00:10:36,070 +anergic يعني inactivation for long period و أيضا + +120 +00:10:36,070 --> 00:10:42,090 +they leave the bone marrow as anergic cellهذه + +121 +00:10:42,090 --> 00:10:46,270 +المرحلة اللي حكينا عليها قبل هيك هي استمثل في + +122 +00:10:46,270 --> 00:10:52,250 +المؤمنات و طبعا تتحول أول مرحلة تنتقل الى البرو بي + +123 +00:10:52,250 --> 00:10:58,470 +ثم و في البرو بي ده هي ال d heavy مع ال j heavy + +124 +00:10:58,470 --> 00:11:04,130 +ارتبطوا مع بعض ثم بعد ذلك تنتقل الى البري بي وهي + +125 +00:11:04,130 --> 00:11:09,210 +التسقط فيهم ال v heavy فصار في عندنا vdj + +126 +00:11:11,610 --> 00:11:17,310 +و في هذه الحلقة بيتكون اللى على سطح الخلية طبعا ده + +127 +00:11:17,310 --> 00:11:23,710 +هو ال mute chain ماشي + +128 +00:11:23,710 --> 00:11:32,310 +مرتبطة بسرقة lighted chain زائد اللى هو ال + +129 +00:11:32,310 --> 00:11:38,510 +receptor of pre B اللى هو immunoglobulin alpha + +130 +00:11:38,510 --> 00:11:44,580 +immunoglobulin beta ده هوبعد ذلك تتكوّن الـ + +131 +00:11:44,580 --> 00:11:49,560 +Lighted Chain وهي either Kappa أو Lambda ومافيش + +132 +00:11:49,560 --> 00:11:54,640 +داعي للسلوكت Lighted Chain اللي هي Delta V بري بي + +133 +00:11:54,640 --> 00:12:01,100 +أو V بري بي فبصير في عندنا IGM حقيقي زائد اللي هو + +134 +00:12:01,100 --> 00:12:06,360 +ال coreceptor منoglobulin Alpha Beta اللي جُلنا + +135 +00:12:06,360 --> 00:12:09,910 +مسؤول عن ال signal transductionبعد ذلك في ال + +136 +00:12:09,910 --> 00:12:14,190 +mature بيصير في عندنا بالاضافة لل IGM في IGD طبعا + +137 +00:12:14,190 --> 00:12:17,370 +في هذه المرحلة زي ما قلنا الخلية سارفي على سطحها + +138 +00:12:17,370 --> 00:12:22,990 +IGM وفي هذه الحالة ال IGM لازم يختبر هل هو + +139 +00:12:22,990 --> 00:12:27,330 +specific for self-antigen إذا for self-antigen + +140 +00:12:27,330 --> 00:12:32,870 +ننسي الموضوع طبعا بسرعةأما Inactivation أو + +141 +00:12:32,870 --> 00:12:39,970 +Receptor Editing طبعا تصفية جديدة تتغير فيها ال + +142 +00:12:39,970 --> 00:12:44,730 +specificity وبالتالي إذا طلع تصفية جديدة أيضا + +143 +00:12:44,730 --> 00:12:50,310 +specific for self-antigen بصي لها deletion أو بصي + +144 +00:12:50,310 --> 00:12:55,550 +لها energy و بصي لها Inactivation for long period + +145 +00:12:55,550 --> 00:13:01,410 +بعد ذلك كده كما تشاهدون IGM و IGD على سطحهاوإذا في + +146 +00:13:01,410 --> 00:13:04,790 +هذه المرحلة تنزل على البرفع الـ circulation إذا + +147 +00:13:04,790 --> 00:13:10,330 +كان صار فيه تعرضت ل antigen تتنشط إلى plasma cell + +148 +00:13:10,330 --> 00:13:14,370 +و memory cell plasma cell و memory cell في ال + +149 +00:13:14,370 --> 00:13:17,930 +memory cell ممكن يصير إذا تعرضت مرة تانية ل + +150 +00:13:17,930 --> 00:13:21,770 +antigen هي إذا اتحولت ل plasma cell ممكن يصير في + +151 +00:13:21,770 --> 00:13:27,050 +isotype switching و تجلب ال antibody يجلب من IgM ل + +152 +00:13:27,050 --> 00:13:28,970 +IgG IgA IgE + +153 +00:13:31,360 --> 00:13:35,380 +طبعا في هذه الحالة البلازمة سللت يتكوّنت في مرحلة + +154 +00:13:35,380 --> 00:13:42,200 +تانية ما بس تعمل secretion لفرضيش + +155 +00:13:42,200 --> 00:13:48,820 +antibody انما في الأولى ممكن تعمل secretion هو هاي + +156 +00:13:48,820 --> 00:13:52,060 +الفجر اللى توحيتلكوا عنها هاي الخلية + +157 +00:13:54,480 --> 00:14:00,140 +إذا كانت تعرضت لـ self-antigen إذا كانت تعرضت لـ + +158 +00:14:00,140 --> 00:14:04,820 +self-antigen إذا كانت تعرضت لـ self-antigen إذا + +159 +00:14:04,820 --> 00:14:05,020 +كانت تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +160 +00:14:05,020 --> 00:14:05,060 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +161 +00:14:05,060 --> 00:14:05,080 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +162 +00:14:05,080 --> 00:14:05,160 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +163 +00:14:05,160 --> 00:14:06,400 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +164 +00:14:06,400 --> 00:14:06,820 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +165 +00:14:06,820 --> 00:14:11,960 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +166 +00:14:11,960 --> 00:14:18,220 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +167 +00:14:18,220 --> 00:14:23,020 +-antigen إذا كانأو الـ Receptor Editing تقدم نوعية + +168 +00:14:23,020 --> 00:14:30,380 +جديدة بـ Reactivation لـ VDG Recombination ثم يصبح + +169 +00:14:30,380 --> 00:14:36,980 +الـ Receptor جديد لـ Non-Self وهذه + +170 +00:14:36,980 --> 00:14:41,460 +الصورة التي قلنا عنها برضه تمر هذا الـ Structural + +171 +00:14:41,460 --> 00:14:47,120 +Antibody IGM في الـ Pre-B يكون هناك سلجة Light + +172 +00:14:47,120 --> 00:14:52,940 +Chain هذه عبارة عن Re-Pre-Bمع Delta 5 ماشي ده هي + +173 +00:14:52,940 --> 00:14:56,560 +لكن في ال mature او ال immature مرحلة اللي بعدها + +174 +00:14:56,560 --> 00:15:01,060 +ده هي بيتتكون ال lighted chain تتصفط الجينات و + +175 +00:15:01,060 --> 00:15:07,200 +بيصير في shutdown لمين لل V pre-B Delta 5 و بتديني + +176 +00:15:07,200 --> 00:15:11,040 +اما Kappa او اما Lambda في طبعا هذه المراهد زي ما + +177 +00:15:11,040 --> 00:15:14,800 +انتوا شايفين ال pre-B receptor الموجود اللي هو + +178 +00:15:14,800 --> 00:15:19,100 +signal transducer من أغلب ال Alpha ومن أغلب ال + +179 +00:15:19,100 --> 00:15:19,700 +Beta + +180 +00:15:23,360 --> 00:15:25,960 +على مستوى الـ B-cell الانتجينيكي التقليدية + +181 +00:15:25,960 --> 00:15:33,840 +الانتجينيكية + +182 +00:15:33,840 --> 00:15:35,520 +الانتجينيكية الانتجينيكية الانتجينيكية + +183 +00:15:35,520 --> 00:15:36,200 +الانتجينيكية الانتجينيكية الانتجينيكية + +184 +00:15:36,200 --> 00:15:36,800 +الانتجينيكية الانتجينيكية الانتجينيكية + +185 +00:15:36,800 --> 00:15:37,020 +الانتجينيكية الانتجينيكية الانتجينيكية + +186 +00:15:37,020 --> 00:15:37,060 +الانتجينيكية الانتجينيكية الانتجينيكية + +187 +00:15:37,060 --> 00:15:38,120 +الانتجينيكية الانتجينيكية الانتجينيكية + +188 +00:15:38,120 --> 00:15:40,740 +الانتجينيكية الانتجينيكية الانتجينيكية + +189 +00:15:40,740 --> 00:15:46,800 +الانتجينيكية الانتجينيكية الانتجينيكية + +190 +00:15:46,950 --> 00:15:52,490 +والـ activation اللي بيصير بعدها after exposure to + +191 +00:15:52,490 --> 00:15:56,370 +the antigen بيصير activation which lead to new + +192 +00:15:56,370 --> 00:15:59,050 +proliferation and differentiation into plasma cell + +193 +00:15:59,050 --> 00:16:03,690 +and the cell that synthesize and secrete antibody + +194 +00:16:03,690 --> 00:16:09,170 +في ال primary response to antigen ال antibody + +195 +00:16:09,170 --> 00:16:20,190 +predominantly is IgM IgG و IgAسيكريتينج بلازمه + +196 +00:16:20,190 --> 00:16:26,690 +سيله مصادرة في مركز الجرم من الانفلاك و الانفلاك و + +197 +00:16:26,690 --> 00:16:31,550 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +198 +00:16:31,550 --> 00:16:32,110 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +199 +00:16:32,110 --> 00:16:32,930 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +200 +00:16:32,930 --> 00:16:32,950 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +201 +00:16:32,950 --> 00:16:34,570 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +202 +00:16:34,570 --> 00:16:41,790 +الانفلاك و الانفلاك و + +203 +00:16:41,790 --> 00:16:42,410 +الانفلاك + +204 +00:16:47,460 --> 00:16:53,000 +وهذه المجالات تقدم حماية للدم من خلال اكتشاف ثانوي + +205 +00:16:53,000 --> 00:16:58,260 +للفيروس والبكتيريا يعني الخلية ماتما اتنشطت ممكن + +206 +00:16:58,260 --> 00:17:02,800 +تتحول لبلازماسيل وبعدين تتهاجر تتحول لبلازماسيل في + +207 +00:17:02,800 --> 00:17:06,100 +ال germinal center ثم بعد ذلك of lymph node and + +208 +00:17:06,100 --> 00:17:08,540 +spleen ثم بعد ذلك تتهاجر على ال bone marrow وتقعد + +209 +00:17:08,540 --> 00:17:14,370 +هناك تعشش هناك وهناك بتولدنا كمية كبيرة منالـ IgG + +210 +00:17:14,370 --> 00:17:20,030 +والـ IgA اللي يحمينا من الانفكار الثانوي بلزمسل + +211 +00:17:20,030 --> 00:17:26,890 +اللي يشبه الـ IgA الديماريكي اللي يحمي الوضع + +212 +00:17:26,890 --> 00:17:32,930 +الميوكوزل في الـ GIT والعقل الهربي والسليفري + +213 +00:17:32,930 --> 00:17:44,140 +والدير إجلاد مميريا مميريالخلية الموجودة في هذه + +214 +00:17:44,140 --> 00:17:50,840 +المناطق هي IGA + +215 +00:17:50,840 --> 00:17:52,820 +الخلية الموجودة في هذه المناطق هي IGA الخلية + +216 +00:17:52,820 --> 00:18:00,220 +الموجودة في هذه المناطق هي IGA IGA IGA IGA IGA IGA + +217 +00:18:00,220 --> 00:18:08,420 +IGA IGA + +218 +00:18:08,420 --> 00:18:08,580 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +219 +00:18:08,580 --> 00:18:08,740 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +220 +00:18:08,740 --> 00:18:08,940 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +221 +00:18:08,940 --> 00:18:10,920 +IGA IGA IGA IGA IGA IGA IGA IGبإمكانها ان تكون + +222 +00:18:10,920 --> 00:18:22,100 +اكتبتة فقط بسبب اتفاق ثانوية إلى نفس الانتجين و + +223 +00:18:22,100 --> 00:18:23,940 +بإمكانها ان تكون اكتبتة فقط بسبب اتفاق ثانوية إلى + +224 +00:18:23,940 --> 00:18:24,700 +نفس الانتجين و بإمكانها ان تكون اكتبتة فقط بسبب + +225 +00:18:24,700 --> 00:18:26,040 +اتفاق ثانوية إلى نفس الانتجين و بإمكانها ان تكون + +226 +00:18:26,040 --> 00:18:30,240 +اكتبتة فقط بسبب اتفاق ثانوية إلى نفس الانتجين و + +227 +00:18:30,240 --> 00:18:31,900 +بإمكانها ان تكون اكتبتة فقط بسبب اتفاق ثانوية إلى + +228 +00:18:31,900 --> 00:18:33,880 +نفس الانتجين و بإمكانها ان تكون اكتبتة فقط بسبب + +229 +00:18:33,880 --> 00:18:37,880 +اتفاق ثانوية إلى نفس الانتجين و بإ + +230 +00:18:51,150 --> 00:18:58,110 +بنبدأ بلازمة سل ممكن نقول إلها تلت طرق تلت نهايات + +231 +00:18:58,110 --> 00:19:01,730 +النهاية الأولانية إنها تتكون في ال journal center + +232 +00:19:01,730 --> 00:19:06,210 +و تبدأ تكوين لنا طبعا ال lymph node أو ال spring و + +233 +00:19:06,210 --> 00:19:08,990 +تبدأ بعد ذلك تهاجر على ال bone marrow و تتعشش في + +234 +00:19:08,990 --> 00:19:11,730 +ال bone marrow و تتكوين لنا كميات كبيرة من ال IGG + +235 +00:19:11,730 --> 00:19:16,450 +و IGE اللي ممكن يدفعونها bone subsequent exposure + +236 +00:19:16,450 --> 00:19:19,650 +to secondary infection نوع كام اللي بلازمة سل + +237 +00:19:19,650 --> 00:19:24,440 +بيهاجر عليهااللي هو بيمتج الـ Dimeric IgA اللي هو + +238 +00:19:24,440 --> 00:19:29,200 +موجود في كل ميوكوزا الـ surfaces تبعت الـ GIT و + +239 +00:19:29,200 --> 00:19:33,440 +الـ RT موجود أخرجا في الـ Salivary gland الـ tears + +240 +00:19:33,440 --> 00:19:37,880 +و الـ lactating mammary gland و كل ده عبارة عن في + +241 +00:19:37,880 --> 00:19:42,420 +المالت ميوكوزا associated with inflammation النوع + +242 +00:19:42,420 --> 00:19:47,660 +التالي من ال memory cell اللي هي ال plasma cell + +243 +00:19:47,660 --> 00:19:52,230 +اللي بيمتج عن طريق ال memory cellالموموريسل هي + +244 +00:19:52,230 --> 00:19:57,070 +عبارة عن خلية يعني بتعيش كتير و بتتنشط upon + +245 +00:19:57,070 --> 00:20:02,190 +secondary exposure to infection with the same + +246 +00:20:02,190 --> 00:20:05,190 +antigen و بيطلع لنا كل أنواع بيصير فيها class + +247 +00:20:05,190 --> 00:20:07,790 +switching هذه و بيطلع لنا كل أنواع ال antibody + +248 +00:20:07,790 --> 00:20:15,030 +معدل IGM و IHD و بنعرفها بوجود ال CD27 على سطحها + +249 +00:20:19,990 --> 00:20:26,910 +الـ B-cells which interact with T-cells تتنشط تطلع + +250 +00:20:26,910 --> 00:20:32,370 +صيتوكاين تتعامل بـ class switching وتفرز على كل + +251 +00:20:32,370 --> 00:20:37,190 +الـisotype IgG، IgA، IgE لما فيه هنا class + +252 +00:20:37,190 --> 00:20:41,470 +switching وفيه صيتوكاين وفيه أنتجين الـisotype + +253 +00:20:41,470 --> 00:20:43,870 +switching تتعامل بميكانيزة الـrearrangement + +254 +00:20:46,000 --> 00:20:50,000 +Unique to B cell فقط هذه التصفيتة تحدث في B cell + +255 +00:20:50,000 --> 00:20:58,220 +ماذا يحدث فيها ان ال VDJ Heavy اللي مرتبطة كانت + +256 +00:20:58,220 --> 00:21:02,820 +بال constant Mu و constant Delta بس لها + +257 +00:21:02,820 --> 00:21:07,660 +Rearrangement عشان ترتبط من another constant + +258 +00:21:07,660 --> 00:21:13,380 +region gene اللي ممكن يكون C Gamma constant Gamma + +259 +00:21:13,380 --> 00:21:19,040 +or constant Alpha or constant Epsilonالـ B-cell + +260 +00:21:19,040 --> 00:21:24,560 +كانت تتصنع لنا IgM و IgD، الآن بتصير تصنع لنا + +261 +00:21:24,560 --> 00:21:29,440 +another or different antibody اللي هو IgG، IgE أو + +262 +00:21:29,440 --> 00:21:36,140 +IgE، لكن شرط أساسي إنه they have to be having the + +263 +00:21:36,140 --> 00:21:39,080 +same antigenic specificity. + +264 +00:21:40,760 --> 00:21:43,960 +في هذه المرحلة بيصير فيه Somatic Hypermutation. + +265 +00:21:47,150 --> 00:21:52,630 +التي تسمى كـ Antibody-Variable-Gen بيصير في الـ + +266 +00:21:52,630 --> 00:21:57,330 +Germinal, Central وSecondary لمفايد الأعضاء وهذا + +267 +00:21:57,330 --> 00:22:01,950 +ينتهي في الانتقال أو B-cell بميوتيشن في مجلد الـ + +268 +00:22:01,950 --> 00:22:07,150 +Immunoglobulin Variable-Gen واللي بيصير في الـ + +269 +00:22:07,150 --> 00:22:10,570 +Somatic Hyper-Mutation أنه بيتولد Antibody with + +270 +00:22:10,570 --> 00:22:15,610 +higher affinity for the antigenيعني بيتحسن قدرته + +271 +00:22:15,610 --> 00:22:19,770 +على الأرض ببعض الانتجين than the original B cell + +272 +00:22:19,770 --> 00:22:26,210 +بسموا هذه الحالة affinity maturation و طبعا هذه + +273 +00:22:26,210 --> 00:22:33,970 +الخلايا كانت تتطور ماشي memory cell و plasma cell + +274 +00:22:33,970 --> 00:22:38,790 +in + +275 +00:22:38,790 --> 00:22:45,540 +a single B lymphocyteالـ Heavy Chain هو مخصص لـ + +276 +00:22:45,540 --> 00:22:51,800 +Heavy Chain Gene Segment اللي موجودة إما .. اللي + +277 +00:22:51,800 --> 00:22:59,000 +جاية إما من مصادر المادة أو من كرمزوم مصادر المادة + +278 +00:22:59,000 --> 00:23:05,680 +الـ Light Chain هو أيضًا مخصص لـ Light Chain Gene + +279 +00:23:05,680 --> 00:23:11,880 +Segment اللي أيضًا موجودة على إما مصادر المادة أو + +280 +00:23:13,440 --> 00:23:17,380 +maternal chromosome طبعا احنا بناخد في هذه الحالة + +281 +00:23:17,380 --> 00:23:20,980 +جينات جاية اما من الأب و اما من الأم و بيسمو هذه + +282 +00:23:20,980 --> 00:23:26,220 +الحالة طبعا جين اللي بيصير فيها gene selection + +283 +00:23:26,220 --> 00:23:32,680 +بيسموها allylic exclusion يعني بنختار جينات او + +284 +00:23:32,680 --> 00:23:36,220 +جاية جينات من الأم او من الأب allylic exclusion + +285 +00:23:36,220 --> 00:23:39,280 +وفي هذه الحالة + +286 +00:23:42,150 --> 00:23:48,210 +وحدوث هذا الشيء بيؤكد على ان ال antibody اللي طلع + +287 +00:23:48,210 --> 00:23:52,270 +من ال B lymphocyte has only one antigenic + +288 +00:23:52,270 --> 00:23:57,970 +specificity هذه + +289 +00:23:57,970 --> 00:24:04,510 +عبارة عنموليكيوز اللي موجودة في مكالمة B لنفسها و + +290 +00:24:04,510 --> 00:24:08,210 +لو استخدمناها ماذا هي اللي هي عبارة عن خط عبارة عن + +291 +00:24:08,210 --> 00:24:15,830 +B cell surface يعني فيه طبعا ال monoglobulin heavy + +292 +00:24:15,830 --> 00:24:23,380 +مع العيط كوّن ان IGM ده هو ثم الاللي هو الـ + +293 +00:24:23,380 --> 00:24:29,880 +Monoglobulin Alpha Beta هو برهن CD9A79B + +294 +00:24:29,880 --> 00:24:37,280 +ثم فيه CD921 و CD919 و CD981 ودولة بيعتبروها + +295 +00:24:37,280 --> 00:24:41,120 +بالتلاتة بي سل كورسيبتر و بيعملوا additional + +296 +00:24:41,120 --> 00:24:45,420 +signal Transduction Signal + +297 +00:24:46,850 --> 00:24:50,830 +بالتابطين بال PCR اللي هو PCR الريسبتور اللي فوق + +298 +00:24:50,830 --> 00:24:57,990 +ثم في موليكيول الهدف الفقه في ال antigen specific + +299 +00:24:57,990 --> 00:25:06,150 +يعني which combined to antigen و presented to the + +300 +00:25:06,150 --> 00:25:09,670 +T lymphocyte شوفوا كل اللي تحت دول أما C class II + +301 +00:25:09,670 --> 00:25:16,320 +هي present processed ببتايدto CD4-T lymphocyte و + +302 +00:25:16,320 --> 00:25:24,060 +تقبل الـ TCR عن CD4 CD40 غالبا تبقى اتماع CD40 + +303 +00:25:24,060 --> 00:25:29,180 +legend اللي موجود على الـ T lymphocyte and induce + +304 +00:25:29,180 --> 00:25:35,300 +antibody class switching CD80 و 86 هو بيسموها بي + +305 +00:25:35,300 --> 00:25:40,390 +سبن وان بي سبن تون موليكيلهؤلاء هم كوستينجلاتوري + +306 +00:25:40,390 --> 00:25:48,470 +موليكيول يتعامل مع ال CD28 أو ال CTLA4 موليكيول + +307 +00:25:48,470 --> 00:25:50,230 +على سطح تيرينفوسايت + +308 +00:25:55,310 --> 00:26:01,610 +to fc receptor of for IgG موجود على سطح ال + +309 +00:26:01,610 --> 00:26:07,730 +بيلمفوسايد لكن هي مش الو مباراة ال receptor لل fc + +310 +00:26:07,730 --> 00:26:13,730 +portion of IgG لكن with low affinity traffic of B + +311 +00:26:13,730 --> 00:26:18,450 +lymphocytes قبل ان ي بيلمفوسايد circulate through + +312 +00:26:18,450 --> 00:26:22,130 +the blood secondary lymphoid organs primarily + +313 +00:26:22,130 --> 00:26:27,020 +lymph nodescut associated lymphoid tissue زي الـ + +314 +00:26:27,020 --> 00:26:30,700 +pierced patches of the intestine يعني بتطلع من ال + +315 +00:26:30,700 --> 00:26:35,320 +bone marrow على الدم و بتبدأ تلف حوالين من ال .. + +316 +00:26:35,320 --> 00:26:38,040 +to the secondary lymphoid organs from blood + +317 +00:26:38,040 --> 00:26:43,480 +secondary lymphoid organs to the blood و هكذا ال + +318 +00:26:43,480 --> 00:26:51,050 +circulation time تقريبا 12 ساعةفي خلال 12 ساعة الـ + +319 +00:26:51,050 --> 00:26:56,170 +B lymphocyte is bring to the antigenic specificity + +320 +00:26:56,170 --> 00:27:00,230 +in contact with antigen في خلال 12 ساعة ستصادف + +321 +00:27:00,230 --> 00:27:06,590 +اللي هو ال antigen إذا صادفت ال antigen ترتبط في + +322 +00:27:06,590 --> 00:27:10,430 +ال antigen antihelper + +323 +00:27:10,430 --> 00:27:15,310 +cell in lymphoid A رجال + +324 +00:27:19,160 --> 00:27:21,680 +وبتتنشط تصل لـ Proliferation and Differentiation + +325 +00:27:21,680 --> 00:27:26,700 +تتحول لـ Memory Cell وPlasma Cell بيتولدوا في الـ + +326 +00:27:26,700 --> 00:27:30,940 +Germinal Center يعني بتطلع من البمر وتلخيصا تطلع + +327 +00:27:30,940 --> 00:27:34,040 +من البمر وعلى ال blood ثم ال primary وsecondary + +328 +00:27:34,040 --> 00:27:38,180 +lymphoid organsوبتظل الـ circulation بتظل بتلوف + +329 +00:27:38,180 --> 00:27:43,420 +لغاية ما تصل الى looking for antigen عملية اللى هو + +330 +00:27:43,420 --> 00:27:47,620 +circulation time تقريبا 12 ساعة المفروض تصادف في + +331 +00:27:47,620 --> 00:27:51,360 +ال antigenic specificity تبعتها in contact with + +332 +00:27:51,360 --> 00:27:55,000 +the antigen تشغل في ال antigenic specificity in + +333 +00:27:55,000 --> 00:27:58,720 +contact with the antigen صادفة ال antigen أخدت ما + +334 +00:27:58,720 --> 00:28:02,690 +يسمى بال survival signal وضلت عايشةما صادفت + +335 +00:28:02,690 --> 00:28:07,250 +الانتجن it will die by the way إذا كان ما صادفت + +336 +00:28:07,250 --> 00:28:10,530 +الانتجن في هذه المرحلة it will die لكن هي بتقعد + +337 +00:28:10,530 --> 00:28:14,730 +عشر ساعات بتصادف فيها الانتجن بتاخده و بتروح على + +338 +00:28:14,730 --> 00:28:20,270 +ال germinal center و هناك بتعمله processing طبعا و + +339 +00:28:20,270 --> 00:28:25,550 +بتقدمه ل T lymphocyte T helper cell و بيسميها + +340 +00:28:25,550 --> 00:28:29,190 +proliferation و differentiation و بتتحول ل memory + +341 +00:28:29,190 --> 00:28:35,570 +cell و plasma cellالألمانوريس هيل ميجريت الى + +342 +00:28:35,570 --> 00:28:42,270 +التشيوة والبلازمة هيل ميجريت الى البونمارو وبتبدأ + +343 +00:28:42,270 --> 00:28:49,470 +تولدلنا انتيبادي لفترة طويلة وقلنا البلازمة هيل + +344 +00:28:49,470 --> 00:28:54,970 +اللي بيصنعلنا IGA بتروح لبيوكوزال تشيوة ال + +345 +00:28:54,970 --> 00:28:58,710 +migration of نايم بي سيل into secondary lymphoid + +346 +00:28:58,710 --> 00:29:03,310 +organs and homing blocking for antigen + +347 +00:29:08,800 --> 00:29:12,460 +اكتفت مريان باللزمة cell population into tissue + +348 +00:29:16,040 --> 00:29:21,820 +كل العملية مسؤولة عن تكوينها الـ B cell surface of + +349 +00:29:21,820 --> 00:29:24,300 +adhesion molecule and chemokine receptor فهذه + +350 +00:29:24,300 --> 00:29:30,520 +العملية is controlled by the presence of B cell + +351 +00:29:30,520 --> 00:29:35,820 +surface of adhesion molecule تمثل بالـ CD21 and + +352 +00:29:35,820 --> 00:29:41,140 +certain chemokine أيضًا receptor عشان اللي بيطلع + +353 +00:29:41,140 --> 00:29:47,230 +أنه من إيش من T lymphocytesعلى نييف بي سيل اكسبتر + +354 +00:29:47,230 --> 00:29:54,090 +رقم سبعة الادهيجيو موليكيول ده هو 62L عبارة عن L + +355 +00:29:54,090 --> 00:29:58,530 +-Selectin والأيفا + +356 +00:29:58,530 --> 00:30:02,890 +4 بي سبن اللي هو عبارة عن انتجرين صار فيه عندنا + +357 +00:30:02,890 --> 00:30:06,530 +Selectin وانتجرين We both Selectin and Integrin + +358 +00:30:06,530 --> 00:30:11,370 +bind to glycoprotein molecule on endothelial cells + +359 +00:30:11,370 --> 00:30:19,550 +of I-endothelial venylhigh-endothelial veneer يعني + +360 +00:30:19,550 --> 00:30:23,970 +أثناء عملية حركتها وانتقالها من البون مارو على + +361 +00:30:23,970 --> 00:30:26,570 +blood circulation فمسكة مدارين الـ fluid organs + +362 +00:30:26,570 --> 00:30:30,890 +اللي بيساعد في عملية تنقلها وجود select وجود اللي + +363 +00:30:30,890 --> 00:30:38,990 +هو adhesion molecule وجود كيموقاهم receptor هنا + +364 +00:30:38,990 --> 00:30:45,610 +طبعا بعد هيك اذا واجهت ال antigenفيها نوعين الـ + +365 +00:30:45,610 --> 00:30:50,690 +Antigen ونوعين الاتفاعل طبعا من فرزه ان انا يولاني + +366 +00:30:50,690 --> 00:30:59,150 +Duothymas Dependent Antigen وفي هذه الحالة الخلية + +367 +00:30:59,150 --> 00:31:05,370 +تحتاج التيه البرسيل for ليه ال بيس الينفوسايت طبعا + +368 +00:31:05,370 --> 00:31:07,750 +to synthesize antibody + +369 +00:31:10,340 --> 00:31:14,620 +وهي تي دي بندنت تجعلها تتجهل عقلية عقلية عقلية + +370 +00:31:14,620 --> 00:31:16,120 +تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية + +371 +00:31:16,120 --> 00:31:20,120 +تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية + +372 +00:31:20,120 --> 00:31:23,780 +تتجهل + +373 +00:31:23,780 --> 00:31:27,960 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +374 +00:31:27,960 --> 00:31:29,720 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +375 +00:31:29,720 --> 00:31:30,540 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +376 +00:31:30,540 --> 00:31:38,260 +عقلية + +377 +00:31:38,260 --> 00:31:44,720 +تتجهبتطور مذكرة طويلة بـB-Lymphocytes بـB-Cell و + +378 +00:31:44,720 --> 00:31:51,620 +بلزمة Cell أيضًا هي برعاية طويلة برعاية + +379 +00:31:51,620 --> 00:31:56,500 +طويلة برعاية برعاية برعاية تحميل الانفكام من + +380 +00:31:56,500 --> 00:32:00,760 +البكتيريا والفيروسات ثانيًا هو Thymus Independent + +381 +00:32:00,760 --> 00:32:06,960 +Antigen الخليجة في هذه الحالة لا تحتاج إلىعشان + +382 +00:32:06,960 --> 00:32:12,320 +تكوننا Antibody وفقط polysaccharides of bacterial + +383 +00:32:12,320 --> 00:32:19,760 +capsule هو عبارة عن واحد من الانتجنات اللي بيصنع + +384 +00:32:19,760 --> 00:32:24,420 +لنا أو بنشط لنا ال melinfocytes ال response is + +385 +00:32:24,420 --> 00:32:30,440 +rapid وinvolves synthesis of YGM which can + +386 +00:32:30,440 --> 00:32:35,920 +agglutinate the antigen and fix complementطبعا هذا + +387 +00:32:35,920 --> 00:32:40,620 +يعطي حماية ضد المال بكتيريا و virus infection بس + +388 +00:32:40,620 --> 00:32:45,960 +ما يميزها ان ال memory الامينولوجية لا تتطور في + +389 +00:32:45,960 --> 00:32:49,160 +نوع + +390 +00:32:49,160 --> 00:32:55,660 +اخر من الخلايا باسمها بي سل بي ون سل وده عبارة عن + +391 +00:32:55,660 --> 00:32:59,560 +sub population of B cell موجودة غالبا في + +392 +00:32:59,560 --> 00:33:02,780 +البريتونيا الكافيتى و البلولا الكافيتى + +393 +00:33:04,710 --> 00:33:13,810 +هي مجتمعات صغيرة موجودة + +394 +00:33:13,810 --> 00:33:17,170 +في الـSpleen و الـLymph Nodes يعني تواجدهم في + +395 +00:33:17,170 --> 00:33:20,810 +الغالب هو عبارة عن Pretunal and Pleural Cavity + +396 +00:33:20,810 --> 00:33:27,310 +ولكن وجودهم في الـLymph Nodes و الـSpleen خفيف في + +397 +00:33:27,310 --> 00:33:35,010 +الاطلت الـV cell مجموعة عادية Low Affinity IgMPoly + +398 +00:33:35,010 --> 00:33:39,590 +specific antibodies في + +399 +00:33:39,590 --> 00:33:47,070 +ال T independent T cell independent Primary + +400 +00:33:47,070 --> 00:33:55,450 +response to many bacteria يعني بدون ايش T cell ال + +401 +00:33:55,450 --> 00:34:01,060 +B cell B one cell sorry بتعتبرمسؤولة for + +402 +00:34:01,060 --> 00:34:06,500 +synthesizing most of natural IgM antibody اللى + +403 +00:34:06,500 --> 00:34:11,660 +موجود فى ال blood فى غياب الانتجيني الانتجين + +404 +00:34:11,660 --> 00:34:17,140 +برايبينج ال sperm cell هي عبارة عن are thought to + +405 +00:34:17,140 --> 00:34:20,600 +play a role as the first line of defense against + +406 +00:34:20,600 --> 00:34:23,440 +systemic bacteria and viral infection بدم هى + +407 +00:34:23,440 --> 00:34:27,140 +موجودة و بتفرزل كميات كبيرة من ال IgM within the + +408 +00:34:27,140 --> 00:34:31,810 +secretion اللى هو البريتونوالـ Plural Cavity هي + +409 +00:34:31,810 --> 00:34:36,230 +continuous طبعاً Secretion لأنها بتلعب دور كبير في + +410 +00:34:36,230 --> 00:34:42,170 +الـ First Line Defense Mechanism. Most B1 Cell are + +411 +00:34:42,170 --> 00:34:45,750 +characterized by the surface تتميز بوجود CD5 + +412 +00:34:45,750 --> 00:34:53,310 +Positive على سطحها وCD5 هو عبارة عن CD بنشوفه على + +413 +00:34:53,310 --> 00:34:57,510 +الخلايا اللي بتكون في chronic lymphocytic leukemia + +414 +00:35:02,290 --> 00:35:06,330 +الارتباط ما بين الـ T و الـ B-cell اللي بيصير + +415 +00:35:06,330 --> 00:35:08,510 +predominantly في الـ germinal center في الـ + +416 +00:35:08,510 --> 00:35:14,110 +secondary lymphoid organs بيصير فيه الـ AT نمرا + +417 +00:35:14,110 --> 00:35:17,570 +واحد somatic hyper mutation و احنا اتفقنا انه + +418 +00:35:17,570 --> 00:35:22,550 +بيصير فيه mutation في ال V-region بيؤدي إلى ال + +419 +00:35:22,550 --> 00:35:27,390 +affinity maturation بتحسن ال affinity لل antibody + +420 +00:35:27,390 --> 00:35:35,290 +نمرا اتنين class switching recombinationالتي كانت + +421 +00:35:35,290 --> 00:35:40,170 +تتصنع لنا IGM و IGD و الآن بتصنع لنا IGG و IGA و + +422 +00:35:40,170 --> 00:35:46,070 +IGE With the same antigenic specificity الحاجة + +423 +00:35:46,070 --> 00:35:50,650 +التالتة في Cytokine released That synthesized by T + +424 +00:35:50,650 --> 00:35:58,950 +cell وهو بمسؤول عن الisotype antibodySynthesized + +425 +00:35:58,950 --> 00:36:02,710 +يعني هو المسؤول عن which antibody can be + +426 +00:36:02,710 --> 00:36:06,990 +Synthesized يبقى ثلاث حاجات somatic hyper mutation + +427 +00:36:06,990 --> 00:36:15,310 +او affinity maturation او maturation affinity ثم + +428 +00:36:15,310 --> 00:36:20,470 +isotype switching ثم cytokine release والتلاتة + +429 +00:36:20,470 --> 00:36:25,910 +بيكونوا موجودين مش مولدين في ال primary immune + +430 +00:36:25,910 --> 00:36:30,850 +responseالـ Antibody synthesize اميوكوزل تشيو + +431 +00:36:30,850 --> 00:36:34,590 +تفقنا على ان هو عبارة عن الـDimeric Age IGA + +432 +00:36:34,590 --> 00:36:38,230 +والخلية في هذه الحالة بتكون committed بيسيلت + +433 +00:36:38,230 --> 00:36:45,790 +develop at an inductive states على طول migrate out + +434 +00:36:45,790 --> 00:36:50,970 +ذا الينفويت تشيو وبيسيلها homing back من خلال ال + +435 +00:36:50,970 --> 00:36:54,470 +bloodلـ different mucosal effector sites و هناك + +436 +00:36:54,470 --> 00:37:01,510 +تدّينا IGA secreting plasma cell و العملية ببساطة + +437 +00:37:01,510 --> 00:37:08,490 +هدا هي طبعا IGA Antibody Synthesizer دي دخل الانتج + +438 +00:37:08,490 --> 00:37:12,070 +تلقفته + +439 +00:37:12,070 --> 00:37:17,170 +طبعا الأمسل سهلت مهمة دخوله + +440 +00:37:19,630 --> 00:37:23,630 +تلقفة ال M-cell وقدمته لمين؟ لـ Dendritic cell + +441 +00:37:23,630 --> 00:37:26,730 +وDendritic cell هي عبارة عن antigen presenting + +442 +00:37:26,730 --> 00:37:31,450 +cell احنا بنحكي على peer patches inductive sites + +443 +00:37:31,450 --> 00:37:38,550 +فيه كل الخلايا بيه cell ده هي وفيه T cell طبعا + +444 +00:37:38,550 --> 00:37:47,730 +بيصير فيه proliferation و بتبدأ تتكون plasma cell + +445 +00:37:48,810 --> 00:37:55,150 +which is committed to me to IGA يعني + +446 +00:37:55,150 --> 00:38:00,130 +صار في class switching sorry ثم بتروح اعمل ال + +447 +00:38:00,130 --> 00:38:07,250 +lymphaticسيستم بتاجر على ال blood ومن ال blood + +448 +00:38:07,250 --> 00:38:11,590 +بتروح على ال mucosal effector sites و هناك بيصلها + +449 +00:38:11,590 --> 00:38:16,310 +differentiation to plasma سلو بتكون من ال IGA اللي + +450 +00:38:16,310 --> 00:38:21,090 +هو diametric IGA اللي بيصله ترتبط بال poly + +451 +00:38:21,090 --> 00:38:26,360 +immunoglobulin receptorوهو اللي موجود على ال + +452 +00:38:26,360 --> 00:38:31,960 +endothelial cell طبعا بعد هيكه بيخترقها مرتبط بهذا + +453 +00:38:31,960 --> 00:38:36,320 +ال receptor و أثناء عملية الاختراق بيتم عملية + +454 +00:38:36,320 --> 00:38:40,120 +تقطيع جزء كبير من ال poly immunoglobulin receptor + +455 +00:38:40,120 --> 00:38:44,700 +و ده لإن اللي هو ال diameric immunoglobulin مرتبط + +456 +00:38:44,700 --> 00:38:50,840 +ب secretory portion لو صار في ال mycosis تشوف طبعا + +457 +00:38:50,840 --> 00:38:51,420 +external + +458 +00:38:55,310 --> 00:39:00,770 +الـ BCL مبريم بروتين هو + +459 +00:39:00,770 --> 00:39:07,750 +عبارة + +460 +00:39:07,750 --> 00:39:17,190 +عن ماركر مختلفة من مستوى التطبيقات الـ BCL وهو + +461 +00:39:17,190 --> 00:39:24,630 +CD10, CD19, CD20, CD27 يعني بلازمةالـ membrane + +462 +00:39:24,630 --> 00:39:30,790 +immunoglobulin bind antigen identify B cell + +463 +00:39:30,790 --> 00:39:35,530 +separate B cell from other lymphocyte and + +464 +00:39:35,530 --> 00:39:40,630 +mononuclear cell ممبرين + +465 +00:39:40,630 --> 00:39:46,250 +immunoglobulin طبعا برتبط بالـ antigen وبيفصلنا ال + +466 +00:39:46,250 --> 00:39:52,360 +B lymphocyte عن خلايا أخرىموجودة signal + +467 +00:39:52,360 --> 00:39:55,020 +transduction molecule associated with the membrane + +468 +00:39:55,020 --> 00:40:00,020 +اللي هو عبارة عن immunoglobulin alpha و beta their + +469 +00:40:00,020 --> 00:40:04,800 +cytoplasmic region contain sequence of amino acid + +470 +00:40:04,800 --> 00:40:10,300 +known as immune receptor tyrosine based activation + +471 +00:40:10,300 --> 00:40:17,420 +motif او بيسموها ITM و + +472 +00:40:21,800 --> 00:40:27,160 +هذه الاختصارات تسمى أزمتيف لأنها موجودة في أخر + +473 +00:40:27,160 --> 00:40:32,180 +موليكولات تتعامل + +474 +00:40:32,180 --> 00:40:32,360 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +475 +00:40:32,360 --> 00:40:32,900 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +476 +00:40:32,900 --> 00:40:34,140 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +477 +00:40:34,140 --> 00:40:37,740 +بالتعامل + +478 +00:40:37,740 --> 00:40:38,040 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +479 +00:40:38,040 --> 00:40:44,480 +بالتعامل بالتعامل بالتعامل بالتعامل + +480 +00:40:44,480 --> 00:40:50,020 +بالتعامل بالتعامل بالت + +481 +00:40:58,610 --> 00:41:04,850 +بسيل كو ريسبتور C191821 are non-covalently + +482 +00:41:04,850 --> 00:41:09,090 +associated in a complex known as B cell coreceptor + +483 +00:41:09,090 --> 00:41:12,670 +التلاتة اللي شفناهم على ال cell surface of B + +484 +00:41:12,670 --> 00:41:16,010 +lymphocytes وقلنا دي are coreceptor بيساعدوا في + +485 +00:41:16,010 --> 00:41:22,250 +عملية signal secondary signal transduction + +486 +00:41:24,840 --> 00:41:31,460 +يسمى كـ Coreceptor بيقللوا + +487 +00:41:31,460 --> 00:41:34,320 +من الactivation of B lymphocytes in response to + +488 +00:41:34,320 --> 00:41:40,200 +antigen تقريبا من قوة ردة فعل B lymphocytes in + +489 +00:41:40,200 --> 00:41:43,860 +response to an antigen لأن موته من الانتجين يحتاج + +490 +00:41:43,860 --> 00:41:50,260 +لإستميال الانتبادي هي تقريبا مية لألف مرة من مية + +491 +00:41:50,260 --> 00:41:57,280 +لألف مرة أقلإذا كوريسيبتور اكتفت مع بي سي ار + +492 +00:41:57,280 --> 00:42:00,620 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +493 +00:42:00,620 --> 00:42:03,500 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +494 +00:42:03,500 --> 00:42:04,320 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +495 +00:42:04,320 --> 00:42:05,360 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +496 +00:42:05,360 --> 00:42:05,520 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +497 +00:42:05,520 --> 00:42:10,620 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +498 +00:42:10,620 --> 00:42:21,340 +كمبار + +499 +00:42:21,630 --> 00:42:26,290 +يحتاج الـ B-Lymphocyte لكمية قليلة من الـ Antigen + +500 +00:42:26,290 --> 00:42:32,410 +أقل مائة مرة لألف مرة عن الكمية اللي بنا نحتاجها + +501 +00:42:32,410 --> 00:42:36,130 +عشان يتنشط الـ B-Lymphocyte من خلال الـ PCR alone + +502 +00:42:36,130 --> 00:42:42,450 +.Binding of bacteria to both the core receptor and + +503 +00:42:42,450 --> 00:42:46,370 +the globulin enhances signal to B-Lymphocyte طبيعي + +504 +00:42:46,370 --> 00:42:52,100 +جدا CD21 is a receptor for complementComponent + +505 +00:42:52,100 --> 00:42:57,440 +CD3DG اللي بيصل ال generation في البلازمة in + +506 +00:42:57,440 --> 00:43:03,200 +response to microbial pathogen اضطباط CD3DG مع + +507 +00:43:03,200 --> 00:43:08,660 +CD21 of the core receptor ايضا enhanced activation + +508 +00:43:08,660 --> 00:43:13,120 +signal delivered to the air to the PCR + +509 +00:43:17,870 --> 00:43:22,510 +هذا ال .. هذا ال ال cell surface ال بي cell + +510 +00:43:22,510 --> 00:43:31,290 +surface بيعتبر PCR وهو ال receptor تبعه أو ال + +511 +00:43:31,290 --> 00:43:38,790 +signal transducer تبعه طبعا هذا الكلام زي ما انتوا + +512 +00:43:38,790 --> 00:43:45,430 +شايفين هو هذا ايضا اللي حكينا عليها ال motif ITAM + +513 +00:43:49,380 --> 00:43:55,620 +وهي الـ CD21 وارتبط الـ CD3 دي اللي طبعا في هذا + +514 +00:43:55,620 --> 00:44:03,640 +الحالة بيقولك بينقل ال signal لل BCR اللي ارتبط + +515 +00:44:03,640 --> 00:44:09,940 +وهو ال BCR او ال CD81 اللي برضه جنبه ايوة في هذا + +516 +00:44:09,940 --> 00:44:13,680 +الحالة ال collector collectively هو عبارة عن CD19 + +517 +00:44:13,680 --> 00:44:20,890 +و 21 و 81Uncomplement Component CD3D + +518 +00:44:20,890 --> 00:44:28,590 +بيصير في Enhancing للactivation بيصير في Enhancing + +519 +00:44:28,590 --> 00:44:35,450 +للactivation بيصير في Enhancing للactivation بيصير + +520 +00:44:35,450 --> 00:44:38,730 +في Enhancing للactivation بيصير في Enhancing + +521 +00:44:38,730 --> 00:44:39,590 +للactivation بيصير في Enhancing للactivation بيصير + +522 +00:44:39,590 --> 00:44:39,750 +في Enhancing للactivation بيصير في Enhancing + +523 +00:44:39,750 --> 00:44:39,910 +للactivation بيصير في Enhancing للactivation بيصير + +524 +00:44:39,910 --> 00:44:43,550 +في Enhancing للactivation بيصير في Enhan + +525 +00:44:47,140 --> 00:44:51,480 +نقاط خاطئة لـ B-cell انتجن مرتبط بالإنينوغلابيلين + +526 +00:44:51,480 --> 00:45:00,380 +انتجن + +527 +00:45:00,380 --> 00:45:14,680 +مرتبط + +528 +00:45:14,680 --> 00:45:15,820 +بالإنينوغلابيلين + +529 +00:45:17,720 --> 00:45:28,700 +و ال Fc portion of antibody component to CD32 + +530 +00:45:28,700 --> 00:45:37,580 +بيؤدي إلى negative signal to the cell فوسفتيز + +531 +00:45:37,580 --> 00:45:41,950 +انزعيم تعمل negative signal لالـ CD19 اللي بيقولها + +532 +00:45:41,950 --> 00:45:45,770 +لـ PCR و بيصير فيه إيش إنه مشين of immunoglobulin + +533 +00:45:45,770 --> 00:45:52,810 +synthesis يعني ارتباط ال ال ال CD32 الموجود على + +534 +00:45:52,810 --> 00:45:56,990 +السطح الخلية اللي قلنا له low affinity لل FC + +535 +00:45:56,990 --> 00:46:03,330 +portion و IGG ممكن يعمل اللي هو shutting down ل ال + +536 +00:46:03,330 --> 00:46:06,290 +immune receptor + +537 +00:46:14,080 --> 00:46:19,040 +Molecule involved in T-Cell-B-Cell interaction + +538 +00:46:19,040 --> 00:46:24,040 +شفناهم برضه على الـ cell membrane of the B-cell in + +539 +00:46:24,040 --> 00:46:26,300 +addition to immunoglobulin synthesis الـ B-cell + +540 +00:46:26,300 --> 00:46:30,040 +can act as antigen presenting cell تطبق ايش؟ + +541 +00:46:30,040 --> 00:46:32,880 +بتشترك ك antigen presenting cell بتقدم ال antigen + +542 +00:46:32,880 --> 00:46:40,540 +ل CD4 T-Helper cell و بتتنشط ال B-cell و + +543 +00:46:43,000 --> 00:46:47,320 +من خلال ارتباطها طبعا بالـ Antigen و CD4 T + +544 +00:46:47,320 --> 00:46:53,040 +-Lymphocytes طبعا بي سيل في هذا الحالة اكسبرس اعمل + +545 +00:46:53,040 --> 00:46:57,420 +C Class II موليكيوم هيربط بالبيبتايد لرد من + +546 +00:46:57,420 --> 00:47:03,020 +البروتين Antigen و هيقدمها ل CD4 T-Lymphocytes + +547 +00:47:03,020 --> 00:47:06,640 +اكتبرت ايضا بي سيل اكسبرس high level of + +548 +00:47:06,640 --> 00:47:10,280 +costimulatory molecules that are required for long + +549 +00:47:10,280 --> 00:47:15,610 +along with the antigenيعني في اللي هو second + +550 +00:47:15,610 --> 00:47:23,630 +signal بيسبن وبرانكستيب الاتري موليكيول بيرتبط على + +551 +00:47:23,630 --> 00:47:24,810 +ال بي الانفسايد + +552 +00:47:28,740 --> 00:47:33,340 +CD40 موجود كـ Co-stimulatory موليكيول أيضًا موجود + +553 +00:47:33,340 --> 00:47:37,460 +على سطح الـ T-Lymphocyte CD40 بتبت بالـ CD40 + +554 +00:47:37,460 --> 00:47:43,940 +Legend هو ما يسمى CD154 موجود على سطح الـ T + +555 +00:47:43,940 --> 00:47:49,160 +-Lymphocyte وهي لسه Interaction بلعب دور كبير، ان + +556 +00:47:49,160 --> 00:47:55,290 +Critical لأRole بلعب دور كبير ومهم جدا A critical + +557 +00:47:55,290 --> 00:48:01,530 +role in isotype switching وده + +558 +00:48:01,530 --> 00:48:06,870 +الأخر حاجة اللي هو Induced costimulatory ligand هو + +559 +00:48:06,870 --> 00:48:10,390 +عبارة عن another importer costimulatory molecule + +560 +00:48:10,390 --> 00:48:14,550 +موجود على سطح ال medium for sites برتبك + +561 +00:48:14,550 --> 00:48:17,290 +بcostimulatory + +562 +00:48:19,070 --> 00:48:23,610 +مع الـ Induced Co-Stimulatory اللي موجود على سطح + +563 +00:48:23,610 --> 00:48:29,450 +الـ T lymphocytes بيعتبر + +564 +00:48:29,450 --> 00:48:33,210 +اللي هو Critical for the formation of Germinal + +565 +00:48:33,210 --> 00:48:40,130 +Center Activation الناس اللي ماعندهمش Inducer او + +566 +00:48:40,130 --> 00:48:45,470 +Inducable Co-Stimulatory Ligand او Inducable Co + +567 +00:48:45,470 --> 00:48:51,010 +-Stimulatory Moleculeبعمل مستوى عالي جدا من IGA + +568 +00:48:51,010 --> 00:48:57,310 +IGA IGG IGG + +569 +00:48:57,310 --> 00:49:00,750 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +570 +00:49:00,750 --> 00:49:00,870 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +571 +00:49:00,870 --> 00:49:00,950 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +572 +00:49:00,950 --> 00:49:04,470 +IGG IGG IGG IGG IGG IG + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..0db1326684c2429f65da6383df32ff93d44d0fb5 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/0AdkwvgCcMg_raw.srt @@ -0,0 +1,2364 @@ +1 +00:00:02,820 --> 00:00:08,200 +بسم الله الرحمن الرحيم نلتقى اليوم في محاضرة جديدة + +2 +00:00:08,200 --> 00:00:15,840 +بعنوان biology of B cell بالنسبة + +3 +00:00:15,840 --> 00:00:19,520 +لل B lymphocyte ال B lymphocyte بسلها + +4 +00:00:19,520 --> 00:00:21,500 +proliferation and differentiation في ال bone + +5 +00:00:21,500 --> 00:00:24,680 +marrow تنشأ في ال bone marrow و بسلها + +6 +00:00:24,680 --> 00:00:27,740 +differentiation في ال bone marrow وتبقى في ال bone + +7 +00:00:27,740 --> 00:00:33,500 +marrow أثناء عملية تطورها تكتسبتمر بعدد مراحل في + +8 +00:00:33,500 --> 00:00:38,420 +هذه المراحل تفتسب فيها different CD على سطح هذه + +9 +00:00:38,420 --> 00:00:48,260 +الخلية نتعرف عليها من خلال هذه الـ CD الأول + +10 +00:00:48,260 --> 00:00:55,780 +مرحلة من مراحل تطور هذه الخلية هي الـ Pro Bو في + +11 +00:00:55,780 --> 00:00:59,600 +هذه المرحلة يبدأ تصفية الجينات المسؤولة عن الـ + +12 +00:00:59,600 --> 00:01:04,880 +Heavy Chain Gene Rearrangement و بتتم على مرحلتين + +13 +00:01:04,880 --> 00:01:10,120 +الـ Heavy Chain Gene أول مرحلة بترتبط الـ D-Heavy + +14 +00:01:10,120 --> 00:01:16,980 +Segment مع الـ J-Heavy Gene Segment + +15 +00:01:21,490 --> 00:01:27,590 +بعد ذلك يتم ارتباطهم مع ال V انما في هذه المرحلة + +16 +00:01:27,590 --> 00:01:33,810 +فقط يتم ارتباط ال DV مع ال GV وتكتسب في هذه + +17 +00:01:33,810 --> 00:01:40,110 +المرحلة CD على سطحها بسموه CD 19 وهذا ال CD بيظل + +18 +00:01:40,110 --> 00:01:45,270 +على سطحها طول فترة المراحل القادمة إضافة إلى CD 19 + +19 +00:01:45,270 --> 00:01:53,170 +تكتسب أيضا CD 10ففي على سطحها CD 19 و CD 10 مرحلة + +20 +00:01:53,170 --> 00:01:58,610 +اللي بعدها اللي هي Libre B وفي هذه المرحلة ال V هي + +21 +00:01:58,610 --> 00:02:05,670 +VG تبدأ تتصفت و ترتبط مع ال DG ال segment اللي + +22 +00:02:05,670 --> 00:02:09,930 +اتكونت في المرحلة اللي سبقتها وبالتالي بيصير في + +23 +00:02:09,930 --> 00:02:16,160 +عندنا VDJهذا الـ segment اللي مسؤول عن variable + +24 +00:02:16,160 --> 00:02:20,500 +region مرتبط بال constant gene و أول أقرب gene له + +25 +00:02:20,500 --> 00:02:27,300 +هو Cconstant Mu هو Constant Mu فبيتكون عندنا VDG + +26 +00:02:27,300 --> 00:02:34,420 +Constant Mu وبالتالي هذا التصفيطة بتكون عندنا + +27 +00:02:34,420 --> 00:02:40,260 +الميو chain وهذه الميو chains اللي لها expression + +28 +00:02:40,260 --> 00:02:45,340 +على surface of pre Bمرتبطة بـ surrogate lighted + +29 +00:02:45,340 --> 00:02:48,320 +chain سروجة lighted chain هي ورا عن lighted chain + +30 +00:02:48,320 --> 00:02:57,880 +مديلة مؤقتة على سطح الـ pre-b cell surface الموت + +31 +00:02:57,880 --> 00:03:04,160 +شين مع السروجة lighted chain are expressed with + +32 +00:03:04,160 --> 00:03:08,580 +two closely associated transmembrane molecules + +33 +00:03:08,580 --> 00:03:13,850 +بالإضافة إليهمفيه Transmembrane molecule الأولان + +34 +00:03:13,850 --> 00:03:19,910 +يسمو immunoglobulin α أو CD79A والتاني يسمو + +35 +00:03:19,910 --> 00:03:25,050 +immunoglobulin beta أو 79B and they referred to as + +36 +00:03:25,050 --> 00:03:30,390 +a pre-B cell receptor بيعتبروا collectively pre-B + +37 +00:03:30,390 --> 00:03:35,690 +cell receptor ومسؤولين عن ال signal transduction + +38 +00:03:35,690 --> 00:03:43,520 +في هذه المرحلةطبعا البريج بيسل في على سطحها سابقا + +39 +00:03:43,520 --> 00:03:55,340 +اللى هو CD10 بالاضافة لCD19 لكن CD10 فقط بيكون + +40 +00:03:55,340 --> 00:04:03,000 +في بداية المرحلة انما في later stages خلاص بينتهي + +41 +00:04:03,000 --> 00:04:09,820 +ال CD10 ولا يتواجد على سطح الخليةعشان هيك بيعتبروه + +42 +00:04:09,820 --> 00:04:13,820 +هو عبارة عن marker of early stages of B cell + +43 +00:04:13,820 --> 00:04:19,000 +differentiation اللي فيها إنها على سطح الخلية اللي + +44 +00:04:19,000 --> 00:04:24,160 +هو immunoglobulin أو ال surface immunoglobulin + +45 +00:04:24,160 --> 00:04:30,380 +Alpha و Beta بالإضافة إلى ال mu chain مرتبطة بسرقة + +46 +00:04:30,380 --> 00:04:38,340 +lighted chainلأ بس في بعيد هيكة ال clearly واضحة + +47 +00:04:38,340 --> 00:04:43,880 +انه في ال V بري بي اللي اتكونت مرتبطة مع delta + +48 +00:04:43,880 --> 00:04:49,020 +five هو عبارة عن product of none + +49 +00:04:51,600 --> 00:04:59,060 +اللي مع بعض بيمثلوا ال function of ايش of lighted + +50 +00:04:59,060 --> 00:05:01,940 +chain سارنوجيت lighted chain هنشوفها ان شاء الله + +51 +00:05:01,940 --> 00:05:05,420 +في ال figure القادم هلاجي ان ال lighted chain + +52 +00:05:05,420 --> 00:05:14,420 +تتكون من delta five مع ال V بري بي وبعد هي تتحول + +53 +00:05:14,420 --> 00:05:18,020 +ال lighted chain الحقيقية سارنوجيت lighted chain + +54 +00:05:18,020 --> 00:05:18,700 +مرحلية + +55 +00:05:21,770 --> 00:05:26,610 +البروتونز تيروزين كاينيز هو عبارة عن انزعيم موجود + +56 +00:05:26,610 --> 00:05:31,490 +بالعبارة كبير في الـ intracellular signaling من + +57 +00:05:31,490 --> 00:05:38,250 +البري بي سي ار طبعا من سطح الخلية الى ال نيوكلياس + +58 +00:05:38,250 --> 00:05:43,870 +البري بي هذا الانزعيم بالعكسية كروشيا رول هذا + +59 +00:05:43,870 --> 00:05:48,880 +كروشيا رولin transition انتقال الخلية من مرحلة الى + +60 +00:05:48,880 --> 00:05:54,780 +مرحلة التالية الى مرحلة التالية في ال + +61 +00:05:54,780 --> 00:06:00,240 +differentiation وفي بعض الناس الأطفال عندهم + +62 +00:06:00,240 --> 00:06:04,260 +mutation في هذا ال enzyme في ال gene تبع هذا ال + +63 +00:06:04,260 --> 00:06:08,100 +enzyme وبالتالي بيصير عندهم immunodeficiency وحيث + +64 +00:06:08,100 --> 00:06:11,240 +انه عبارة عن X-linked E-Gamma Globulinemia بيصير + +65 +00:06:11,240 --> 00:06:15,020 +عندهم مرض بهذا الاسمفي هذه الحالة الـ B lymphocyte + +66 +00:06:15,020 --> 00:06:18,200 +differentiation is arrested مافي عندهم B + +67 +00:06:18,200 --> 00:06:22,460 +lymphocyte و تبقى الخلية في مرحلة الـ pre-b cell + +68 +00:06:22,460 --> 00:06:27,580 +stage in + +69 +00:06:27,580 --> 00:06:31,200 +the next stage of differentiation تبدأ lighted + +70 +00:06:31,200 --> 00:06:36,640 +chain gene to rearrange وستبقى lighted chain + +71 +00:06:36,640 --> 00:06:41,860 +synthesis is shut down خلاص مافيش داعي and كابا + +72 +00:06:42,450 --> 00:06:47,590 +أولمب ده chain are formed و they are then + +73 +00:06:47,590 --> 00:06:52,010 +associated with a new chain و هذا بيؤدي الى ال + +74 +00:06:52,010 --> 00:06:56,330 +formation of a new immunoglobulin و هو IGM which + +75 +00:06:56,330 --> 00:07:00,710 +is expressed on the surface of the cell بالاضافة + +76 +00:07:00,710 --> 00:07:04,810 +إلى ذلك و هو عبارة عن ماركتوبالاضافة لذلك الخلية + +77 +00:07:04,810 --> 00:07:08,890 +هذه الخلية هي عبارة عن immature B cell لكنها تكتسب + +78 +00:07:08,890 --> 00:07:16,290 +على سطح CD جديد وهو CD20 which is also expressed + +79 +00:07:16,290 --> 00:07:22,650 +on the next stage of differentiation إذا + +80 +00:07:22,650 --> 00:07:27,690 +ال immature B cell اللي تبعجين عليها ارتبطت لأنه + +81 +00:07:27,690 --> 00:07:32,250 +صار على سطحها IgM antibody + +82 +00:07:33,190 --> 00:07:37,850 +إذا هذا الـ antibody أو هذه الخلية اللي على سطحها + +83 +00:07:37,850 --> 00:07:41,610 +IgM ارتبطت ب self-antigen it's generally + +84 +00:07:41,610 --> 00:07:46,790 +inactivated بس اللي هيقلش inactivity inactivation + +85 +00:07:46,790 --> 00:07:50,970 +يوم ما ترتبط بيقلش ب self-antigen يا inactivation + +86 +00:07:50,970 --> 00:07:54,870 +يا إما deletion وطبعا كنا بنعرف إن هذه المرحلة هي + +87 +00:07:54,870 --> 00:07:59,490 +عبارة عن central tolerance ماشي بيسموا هذه المرحلة + +88 +00:07:59,490 --> 00:08:05,580 +negative selectionطبعا في هذه الحالة الغالية جابل + +89 +00:08:05,580 --> 00:08:10,240 +مثلا deletion or inactivation + +90 +00:08:10,240 --> 00:08:15,940 +بتمر في مرحلة بتحاول تصلح نفسها فبتعمل receptor + +91 +00:08:15,940 --> 00:08:20,060 +editing receptor editing نفس ال lighted chain بتقع + +92 +00:08:20,060 --> 00:08:24,940 +يمصفطها مرة تانية تصفيطها جديدة ومغيرة ال affinity + +93 +00:08:24,940 --> 00:08:29,020 +of the molecule to the self-antigen بحيث انه she + +94 +00:08:29,020 --> 00:08:33,980 +is not responding to self-antigenإذا نجحت بتظل إذا + +95 +00:08:33,980 --> 00:08:38,780 +ما نجحت مثلًا هي deletion by apoptosis يعني مينجو + +96 +00:08:38,780 --> 00:08:42,140 +سينج كل اللي بتعمل انها بتغير ال specificity of + +97 +00:08:42,140 --> 00:08:47,780 +the IgM produced على السطح اللي موجود على السطح + +98 +00:08:47,780 --> 00:08:52,040 +الخلية Recombination + +99 +00:08:52,040 --> 00:08:57,880 +event that occurred during receptor editingممكن + +100 +00:08:57,880 --> 00:09:01,600 +يكون برضه اللى بده يتولد لأن هو بتصفية تانية اللى + +101 +00:09:01,600 --> 00:09:06,660 +بدها تتصفى التصفية التانية is also specific for + +102 +00:09:06,660 --> 00:09:13,140 +self either self antigen يعني واحد تاني ممكن وفي + +103 +00:09:13,140 --> 00:09:16,460 +هذه الحالة زى ما قلنا الخلية بيسلحها deletion or + +104 +00:09:16,460 --> 00:09:21,260 +via ameptosis وبيسموا هذه العملية self tolerance + +105 +00:09:21,260 --> 00:09:25,550 +او negative selectionوغالبا بتصير في ال primary + +106 +00:09:25,550 --> 00:09:30,390 +lymphoid organs يعني في منطقة التصنيع هو بيسموها + +107 +00:09:30,390 --> 00:09:36,990 +non self molecule في هذه الحالة ال .. ال .. ال .. + +108 +00:09:36,990 --> 00:09:40,750 +يعني إذا كان صارت responding to non self molecule + +109 +00:09:40,750 --> 00:09:43,910 +في هذه الحالة ال immature B lymphocyte is rescued + +110 +00:09:43,910 --> 00:09:48,930 +تنقذ from the region و بتترك ال bone marrow و + +111 +00:09:48,930 --> 00:09:52,250 +بيصير جزء من ال B cell responding to non self + +112 +00:09:52,250 --> 00:09:52,830 +antigen + +113 +00:09:56,530 --> 00:10:00,450 +أيضا ان شاء الله هنشوفها في فيدة سبعة في cinema + +114 +00:10:00,450 --> 00:10:07,950 +boy 3 اللي هيبقى + +115 +00:10:07,950 --> 00:10:11,650 +يوضح النها بشكل + +116 +00:10:11,650 --> 00:10:18,950 +واضح لكن في كمان نقطة تانية وشرط تاني انه اذا كان + +117 +00:10:18,950 --> 00:10:23,090 +ال self-antigen was soluble + +118 +00:10:26,090 --> 00:10:29,830 +الخلية اللى هى ال a mature B lymphocyte ممكن تصير + +119 +00:10:29,830 --> 00:10:36,070 +anergic يعني inactivation for long period و أيضا + +120 +00:10:36,070 --> 00:10:42,090 +they leave the bone marrow as anergic cellهذه + +121 +00:10:42,090 --> 00:10:46,270 +المرحلة اللي حكينا عليها قبل هيك هي استمثل في + +122 +00:10:46,270 --> 00:10:52,250 +المؤمنات و طبعا تتحول أول مرحلة تنتقل الى البرو بي + +123 +00:10:52,250 --> 00:10:58,470 +ثم و في البرو بي ده هي ال d heavy مع ال j heavy + +124 +00:10:58,470 --> 00:11:04,130 +ارتبطوا مع بعض ثم بعد ذلك تنتقل الى البري بي وهي + +125 +00:11:04,130 --> 00:11:09,210 +التسقط فيهم ال v heavy فصار في عندنا vdj + +126 +00:11:11,610 --> 00:11:17,310 +و في هذه الحلقة بيتكون اللى على سطح الخلية طبعا ده + +127 +00:11:17,310 --> 00:11:23,710 +هو ال mute chain ماشي + +128 +00:11:23,710 --> 00:11:32,310 +مرتبطة بسرقة lighted chain زائد اللى هو ال + +129 +00:11:32,310 --> 00:11:38,510 +receptor of pre B اللى هو immunoglobulin alpha + +130 +00:11:38,510 --> 00:11:44,580 +immunoglobulin beta ده هوبعد ذلك تتكوّن الـ + +131 +00:11:44,580 --> 00:11:49,560 +Lighted Chain وهي either Kappa أو Lambda ومافيش + +132 +00:11:49,560 --> 00:11:54,640 +داعي للسلوكت Lighted Chain اللي هي Delta V بري بي + +133 +00:11:54,640 --> 00:12:01,100 +أو V بري بي فبصير في عندنا IGM حقيقي زائد اللي هو + +134 +00:12:01,100 --> 00:12:06,360 +ال coreceptor منoglobulin Alpha Beta اللي جُلنا + +135 +00:12:06,360 --> 00:12:09,910 +مسؤول عن ال signal transductionبعد ذلك في ال + +136 +00:12:09,910 --> 00:12:14,190 +mature بيصير في عندنا بالاضافة لل IGM في IGD طبعا + +137 +00:12:14,190 --> 00:12:17,370 +في هذه المرحلة زي ما قلنا الخلية سارفي على سطحها + +138 +00:12:17,370 --> 00:12:22,990 +IGM وفي هذه الحالة ال IGM لازم يختبر هل هو + +139 +00:12:22,990 --> 00:12:27,330 +specific for self-antigen إذا for self-antigen + +140 +00:12:27,330 --> 00:12:32,870 +ننسي الموضوع طبعا بسرعةأما Inactivation أو + +141 +00:12:32,870 --> 00:12:39,970 +Receptor Editing طبعا تصفية جديدة تتغير فيها ال + +142 +00:12:39,970 --> 00:12:44,730 +specificity وبالتالي إذا طلع تصفية جديدة أيضا + +143 +00:12:44,730 --> 00:12:50,310 +specific for self-antigen بصي لها deletion أو بصي + +144 +00:12:50,310 --> 00:12:55,550 +لها energy و بصي لها Inactivation for long period + +145 +00:12:55,550 --> 00:13:01,410 +بعد ذلك كده كما تشاهدون IGM و IGD على سطحهاوإذا في + +146 +00:13:01,410 --> 00:13:04,790 +هذه المرحلة تنزل على البرفع الـ circulation إذا + +147 +00:13:04,790 --> 00:13:10,330 +كان صار فيه تعرضت ل antigen تتنشط إلى plasma cell + +148 +00:13:10,330 --> 00:13:14,370 +و memory cell plasma cell و memory cell في ال + +149 +00:13:14,370 --> 00:13:17,930 +memory cell ممكن يصير إذا تعرضت مرة تانية ل + +150 +00:13:17,930 --> 00:13:21,770 +antigen هي إذا اتحولت ل plasma cell ممكن يصير في + +151 +00:13:21,770 --> 00:13:27,050 +isotype switching و تجلب ال antibody يجلب من IgM ل + +152 +00:13:27,050 --> 00:13:28,970 +IgG IgA IgE + +153 +00:13:31,360 --> 00:13:35,380 +طبعا في هذه الحالة البلازمة سللت يتكوّنت في مرحلة + +154 +00:13:35,380 --> 00:13:42,200 +تانية ما بس تعمل secretion لفرضيش + +155 +00:13:42,200 --> 00:13:48,820 +antibody انما في الأولى ممكن تعمل secretion هو هاي + +156 +00:13:48,820 --> 00:13:52,060 +الفجر اللى توحيتلكوا عنها هاي الخلية + +157 +00:13:54,480 --> 00:14:00,140 +إذا كانت تعرضت لـ self-antigen إذا كانت تعرضت لـ + +158 +00:14:00,140 --> 00:14:04,820 +self-antigen إذا كانت تعرضت لـ self-antigen إذا + +159 +00:14:04,820 --> 00:14:05,020 +كانت تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +160 +00:14:05,020 --> 00:14:05,060 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +161 +00:14:05,060 --> 00:14:05,060 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +162 +00:14:05,060 --> 00:14:05,080 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +163 +00:14:05,080 --> 00:14:05,160 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +164 +00:14:05,160 --> 00:14:06,400 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +165 +00:14:06,400 --> 00:14:06,820 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +166 +00:14:06,820 --> 00:14:11,960 +-antigen إذا كانت تعرضت لـ self-antigen إذا كانت + +167 +00:14:11,960 --> 00:14:18,220 +تعرضت لـ self-antigen إذا كانت تعرضت لـ self + +168 +00:14:18,220 --> 00:14:23,020 +-antigen إذا كانأو الـ Receptor Editing تقدم نوعية + +169 +00:14:23,020 --> 00:14:30,380 +جديدة بـ Reactivation لـ VDG Recombination ثم يصبح + +170 +00:14:30,380 --> 00:14:36,980 +الـ Receptor جديد لـ Non-Self وهذه + +171 +00:14:36,980 --> 00:14:41,460 +الصورة التي قلنا عنها برضه تمر هذا الـ Structural + +172 +00:14:41,460 --> 00:14:47,120 +Antibody IGM في الـ Pre-B يكون هناك سلجة Light + +173 +00:14:47,120 --> 00:14:52,940 +Chain هذه عبارة عن Re-Pre-Bمع Delta 5 ماشي ده هي + +174 +00:14:52,940 --> 00:14:56,560 +لكن في ال mature او ال immature مرحلة اللي بعدها + +175 +00:14:56,560 --> 00:15:01,060 +ده هي بيتتكون ال lighted chain تتصفط الجينات و + +176 +00:15:01,060 --> 00:15:07,200 +بيصير في shutdown لمين لل V pre-B Delta 5 و بتديني + +177 +00:15:07,200 --> 00:15:11,040 +اما Kappa او اما Lambda في طبعا هذه المراهد زي ما + +178 +00:15:11,040 --> 00:15:14,800 +انتوا شايفين ال pre-B receptor الموجود اللي هو + +179 +00:15:14,800 --> 00:15:19,100 +signal transducer من أغلب ال Alpha ومن أغلب ال + +180 +00:15:19,100 --> 00:15:19,700 +Beta + +181 +00:15:23,360 --> 00:15:25,960 +على مستوى الـ B-cell الانتجينيكي التقليدية + +182 +00:15:25,960 --> 00:15:33,840 +الانتجينيكية + +183 +00:15:33,840 --> 00:15:35,520 +الانتجينيكية الانتجينيكية الانتجينيكية + +184 +00:15:35,520 --> 00:15:36,200 +الانتجينيكية الانتجينيكية الانتجينيكية + +185 +00:15:36,200 --> 00:15:36,800 +الانتجينيكية الانتجينيكية الانتجينيكية + +186 +00:15:36,800 --> 00:15:37,020 +الانتجينيكية الانتجينيكية الانتجينيكية + +187 +00:15:37,020 --> 00:15:37,060 +الانتجينيكية الانتجينيكية الانتجينيكية + +188 +00:15:37,060 --> 00:15:38,120 +الانتجينيكية الانتجينيكية الانتجينيكية + +189 +00:15:38,120 --> 00:15:40,740 +الانتجينيكية الانتجينيكية الانتجينيكية + +190 +00:15:40,740 --> 00:15:46,800 +الانتجينيكية الانتجينيكية الانتجينيكية + +191 +00:15:46,950 --> 00:15:52,490 +والـ activation اللي بيصير بعدها after exposure to + +192 +00:15:52,490 --> 00:15:56,370 +the antigen بيصير activation which lead to new + +193 +00:15:56,370 --> 00:15:59,050 +proliferation and differentiation into plasma cell + +194 +00:15:59,050 --> 00:16:03,690 +and the cell that synthesize and secrete antibody + +195 +00:16:03,690 --> 00:16:09,170 +في ال primary response to antigen ال antibody + +196 +00:16:09,170 --> 00:16:20,190 +predominantly is IgM IgG و IgAسيكريتينج بلازمه + +197 +00:16:20,190 --> 00:16:26,690 +سيله مصادرة في مركز الجرم من الانفلاك و الانفلاك و + +198 +00:16:26,690 --> 00:16:31,550 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +199 +00:16:31,550 --> 00:16:32,110 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +200 +00:16:32,110 --> 00:16:32,930 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +201 +00:16:32,930 --> 00:16:32,930 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +202 +00:16:32,930 --> 00:16:32,950 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +203 +00:16:32,950 --> 00:16:32,950 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +204 +00:16:32,950 --> 00:16:34,570 +الانفلاك و الانفلاك و الانفلاك و الانفلاك و + +205 +00:16:34,570 --> 00:16:41,790 +الانفلاك و الانفلاك و + +206 +00:16:41,790 --> 00:16:42,410 +الانفلاك + +207 +00:16:47,460 --> 00:16:53,000 +وهذه المجالات تقدم حماية للدم من خلال اكتشاف ثانوي + +208 +00:16:53,000 --> 00:16:58,260 +للفيروس والبكتيريا يعني الخلية ماتما اتنشطت ممكن + +209 +00:16:58,260 --> 00:17:02,800 +تتحول لبلازماسيل وبعدين تتهاجر تتحول لبلازماسيل في + +210 +00:17:02,800 --> 00:17:06,100 +ال germinal center ثم بعد ذلك of lymph node and + +211 +00:17:06,100 --> 00:17:08,540 +spleen ثم بعد ذلك تتهاجر على ال bone marrow وتقعد + +212 +00:17:08,540 --> 00:17:14,370 +هناك تعشش هناك وهناك بتولدنا كمية كبيرة منالـ IgG + +213 +00:17:14,370 --> 00:17:20,030 +والـ IgA اللي يحمينا من الانفكار الثانوي بلزمسل + +214 +00:17:20,030 --> 00:17:26,890 +اللي يشبه الـ IgA الديماريكي اللي يحمي الوضع + +215 +00:17:26,890 --> 00:17:32,930 +الميوكوزل في الـ GIT والعقل الهربي والسليفري + +216 +00:17:32,930 --> 00:17:44,140 +والدير إجلاد مميريا مميريالخلية الموجودة في هذه + +217 +00:17:44,140 --> 00:17:50,840 +المناطق هي IGA + +218 +00:17:50,840 --> 00:17:52,820 +الخلية الموجودة في هذه المناطق هي IGA الخلية + +219 +00:17:52,820 --> 00:18:00,220 +الموجودة في هذه المناطق هي IGA IGA IGA IGA IGA IGA + +220 +00:18:00,220 --> 00:18:08,420 +IGA IGA + +221 +00:18:08,420 --> 00:18:08,580 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +222 +00:18:08,580 --> 00:18:08,740 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +223 +00:18:08,740 --> 00:18:08,940 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +224 +00:18:08,940 --> 00:18:08,940 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +225 +00:18:08,940 --> 00:18:08,940 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +226 +00:18:08,940 --> 00:18:08,940 +IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA IGA + +227 +00:18:08,940 --> 00:18:10,920 +IGA IGA IGA IGA IGA IGA IGA IGبإمكانها ان تكون + +228 +00:18:10,920 --> 00:18:22,100 +اكتبتة فقط بسبب اتفاق ثانوية إلى نفس الانتجين و + +229 +00:18:22,100 --> 00:18:23,940 +بإمكانها ان تكون اكتبتة فقط بسبب اتفاق ثانوية إلى + +230 +00:18:23,940 --> 00:18:24,700 +نفس الانتجين و بإمكانها ان تكون اكتبتة فقط بسبب + +231 +00:18:24,700 --> 00:18:26,040 +اتفاق ثانوية إلى نفس الانتجين و بإمكانها ان تكون + +232 +00:18:26,040 --> 00:18:30,240 +اكتبتة فقط بسبب اتفاق ثانوية إلى نفس الانتجين و + +233 +00:18:30,240 --> 00:18:31,900 +بإمكانها ان تكون اكتبتة فقط بسبب اتفاق ثانوية إلى + +234 +00:18:31,900 --> 00:18:33,880 +نفس الانتجين و بإمكانها ان تكون اكتبتة فقط بسبب + +235 +00:18:33,880 --> 00:18:37,880 +اتفاق ثانوية إلى نفس الانتجين و بإ + +236 +00:18:51,150 --> 00:18:58,110 +بنبدأ بلازمة سل ممكن نقول إلها تلت طرق تلت نهايات + +237 +00:18:58,110 --> 00:19:01,730 +النهاية الأولانية إنها تتكون في ال journal center + +238 +00:19:01,730 --> 00:19:06,210 +و تبدأ تكوين لنا طبعا ال lymph node أو ال spring و + +239 +00:19:06,210 --> 00:19:08,990 +تبدأ بعد ذلك تهاجر على ال bone marrow و تتعشش في + +240 +00:19:08,990 --> 00:19:11,730 +ال bone marrow و تتكوين لنا كميات كبيرة من ال IGG + +241 +00:19:11,730 --> 00:19:16,450 +و IGE اللي ممكن يدفعونها bone subsequent exposure + +242 +00:19:16,450 --> 00:19:19,650 +to secondary infection نوع كام اللي بلازمة سل + +243 +00:19:19,650 --> 00:19:24,440 +بيهاجر عليهااللي هو بيمتج الـ Dimeric IgA اللي هو + +244 +00:19:24,440 --> 00:19:29,200 +موجود في كل ميوكوزا الـ surfaces تبعت الـ GIT و + +245 +00:19:29,200 --> 00:19:33,440 +الـ RT موجود أخرجا في الـ Salivary gland الـ tears + +246 +00:19:33,440 --> 00:19:37,880 +و الـ lactating mammary gland و كل ده عبارة عن في + +247 +00:19:37,880 --> 00:19:42,420 +المالت ميوكوزا associated with inflammation النوع + +248 +00:19:42,420 --> 00:19:47,660 +التالي من ال memory cell اللي هي ال plasma cell + +249 +00:19:47,660 --> 00:19:52,230 +اللي بيمتج عن طريق ال memory cellالموموريسل هي + +250 +00:19:52,230 --> 00:19:57,070 +عبارة عن خلية يعني بتعيش كتير و بتتنشط upon + +251 +00:19:57,070 --> 00:20:02,190 +secondary exposure to infection with the same + +252 +00:20:02,190 --> 00:20:05,190 +antigen و بيطلع لنا كل أنواع بيصير فيها class + +253 +00:20:05,190 --> 00:20:07,790 +switching هذه و بيطلع لنا كل أنواع ال antibody + +254 +00:20:07,790 --> 00:20:15,030 +معدل IGM و IHD و بنعرفها بوجود ال CD27 على سطحها + +255 +00:20:19,990 --> 00:20:26,910 +الـ B-cells which interact with T-cells تتنشط تطلع + +256 +00:20:26,910 --> 00:20:32,370 +صيتوكاين تتعامل بـ class switching وتفرز على كل + +257 +00:20:32,370 --> 00:20:37,190 +الـisotype IgG، IgA، IgE لما فيه هنا class + +258 +00:20:37,190 --> 00:20:41,470 +switching وفيه صيتوكاين وفيه أنتجين الـisotype + +259 +00:20:41,470 --> 00:20:43,870 +switching تتعامل بميكانيزة الـrearrangement + +260 +00:20:46,000 --> 00:20:50,000 +Unique to B cell فقط هذه التصفيتة تحدث في B cell + +261 +00:20:50,000 --> 00:20:58,220 +ماذا يحدث فيها ان ال VDJ Heavy اللي مرتبطة كانت + +262 +00:20:58,220 --> 00:21:02,820 +بال constant Mu و constant Delta بس لها + +263 +00:21:02,820 --> 00:21:07,660 +Rearrangement عشان ترتبط من another constant + +264 +00:21:07,660 --> 00:21:13,380 +region gene اللي ممكن يكون C Gamma constant Gamma + +265 +00:21:13,380 --> 00:21:19,040 +or constant Alpha or constant Epsilonالـ B-cell + +266 +00:21:19,040 --> 00:21:24,560 +كانت تتصنع لنا IgM و IgD، الآن بتصير تصنع لنا + +267 +00:21:24,560 --> 00:21:29,440 +another or different antibody اللي هو IgG، IgE أو + +268 +00:21:29,440 --> 00:21:36,140 +IgE، لكن شرط أساسي إنه they have to be having the + +269 +00:21:36,140 --> 00:21:39,080 +same antigenic specificity. + +270 +00:21:40,760 --> 00:21:43,960 +في هذه المرحلة بيصير فيه Somatic Hypermutation. + +271 +00:21:47,150 --> 00:21:52,630 +التي تسمى كـ Antibody-Variable-Gen بيصير في الـ + +272 +00:21:52,630 --> 00:21:57,330 +Germinal, Central وSecondary لمفايد الأعضاء وهذا + +273 +00:21:57,330 --> 00:22:01,950 +ينتهي في الانتقال أو B-cell بميوتيشن في مجلد الـ + +274 +00:22:01,950 --> 00:22:07,150 +Immunoglobulin Variable-Gen واللي بيصير في الـ + +275 +00:22:07,150 --> 00:22:10,570 +Somatic Hyper-Mutation أنه بيتولد Antibody with + +276 +00:22:10,570 --> 00:22:15,610 +higher affinity for the antigenيعني بيتحسن قدرته + +277 +00:22:15,610 --> 00:22:19,770 +على الأرض ببعض الانتجين than the original B cell + +278 +00:22:19,770 --> 00:22:26,210 +بسموا هذه الحالة affinity maturation و طبعا هذه + +279 +00:22:26,210 --> 00:22:33,970 +الخلايا كانت تتطور ماشي memory cell و plasma cell + +280 +00:22:33,970 --> 00:22:38,790 +in + +281 +00:22:38,790 --> 00:22:45,540 +a single B lymphocyteالـ Heavy Chain هو مخصص لـ + +282 +00:22:45,540 --> 00:22:51,800 +Heavy Chain Gene Segment اللي موجودة إما .. اللي + +283 +00:22:51,800 --> 00:22:59,000 +جاية إما من مصادر المادة أو من كرمزوم مصادر المادة + +284 +00:22:59,000 --> 00:23:05,680 +الـ Light Chain هو أيضًا مخصص لـ Light Chain Gene + +285 +00:23:05,680 --> 00:23:11,880 +Segment اللي أيضًا موجودة على إما مصادر المادة أو + +286 +00:23:13,440 --> 00:23:17,380 +maternal chromosome طبعا احنا بناخد في هذه الحالة + +287 +00:23:17,380 --> 00:23:20,980 +جينات جاية اما من الأب و اما من الأم و بيسمو هذه + +288 +00:23:20,980 --> 00:23:26,220 +الحالة طبعا جين اللي بيصير فيها gene selection + +289 +00:23:26,220 --> 00:23:32,680 +بيسموها allylic exclusion يعني بنختار جينات او + +290 +00:23:32,680 --> 00:23:36,220 +جاية جينات من الأم او من الأب allylic exclusion + +291 +00:23:36,220 --> 00:23:39,280 +وفي هذه الحالة + +292 +00:23:42,150 --> 00:23:48,210 +وحدوث هذا الشيء بيؤكد على ان ال antibody اللي طلع + +293 +00:23:48,210 --> 00:23:52,270 +من ال B lymphocyte has only one antigenic + +294 +00:23:52,270 --> 00:23:57,970 +specificity هذه + +295 +00:23:57,970 --> 00:24:04,510 +عبارة عنموليكيوز اللي موجودة في مكالمة B لنفسها و + +296 +00:24:04,510 --> 00:24:08,210 +لو استخدمناها ماذا هي اللي هي عبارة عن خط عبارة عن + +297 +00:24:08,210 --> 00:24:15,830 +B cell surface يعني فيه طبعا ال monoglobulin heavy + +298 +00:24:15,830 --> 00:24:23,380 +مع العيط كوّن ان IGM ده هو ثم الاللي هو الـ + +299 +00:24:23,380 --> 00:24:29,880 +Monoglobulin Alpha Beta هو برهن CD9A79B + +300 +00:24:29,880 --> 00:24:37,280 +ثم فيه CD921 و CD919 و CD981 ودولة بيعتبروها + +301 +00:24:37,280 --> 00:24:41,120 +بالتلاتة بي سل كورسيبتر و بيعملوا additional + +302 +00:24:41,120 --> 00:24:45,420 +signal Transduction Signal + +303 +00:24:46,850 --> 00:24:50,830 +بالتابطين بال PCR اللي هو PCR الريسبتور اللي فوق + +304 +00:24:50,830 --> 00:24:57,990 +ثم في موليكيول الهدف الفقه في ال antigen specific + +305 +00:24:57,990 --> 00:25:06,150 +يعني which combined to antigen و presented to the + +306 +00:25:06,150 --> 00:25:09,670 +T lymphocyte شوفوا كل اللي تحت دول أما C class II + +307 +00:25:09,670 --> 00:25:16,320 +هي present processed ببتايدto CD4-T lymphocyte و + +308 +00:25:16,320 --> 00:25:24,060 +تقبل الـ TCR عن CD4 CD40 غالبا تبقى اتماع CD40 + +309 +00:25:24,060 --> 00:25:29,180 +legend اللي موجود على الـ T lymphocyte and induce + +310 +00:25:29,180 --> 00:25:35,300 +antibody class switching CD80 و 86 هو بيسموها بي + +311 +00:25:35,300 --> 00:25:40,390 +سبن وان بي سبن تون موليكيلهؤلاء هم كوستينجلاتوري + +312 +00:25:40,390 --> 00:25:48,470 +موليكيول يتعامل مع ال CD28 أو ال CTLA4 موليكيول + +313 +00:25:48,470 --> 00:25:50,230 +على سطح تيرينفوسايت + +314 +00:25:55,310 --> 00:26:01,610 +to fc receptor of for IgG موجود على سطح ال + +315 +00:26:01,610 --> 00:26:07,730 +بيلمفوسايد لكن هي مش الو مباراة ال receptor لل fc + +316 +00:26:07,730 --> 00:26:13,730 +portion of IgG لكن with low affinity traffic of B + +317 +00:26:13,730 --> 00:26:18,450 +lymphocytes قبل ان ي بيلمفوسايد circulate through + +318 +00:26:18,450 --> 00:26:22,130 +the blood secondary lymphoid organs primarily + +319 +00:26:22,130 --> 00:26:27,020 +lymph nodescut associated lymphoid tissue زي الـ + +320 +00:26:27,020 --> 00:26:30,700 +pierced patches of the intestine يعني بتطلع من ال + +321 +00:26:30,700 --> 00:26:35,320 +bone marrow على الدم و بتبدأ تلف حوالين من ال .. + +322 +00:26:35,320 --> 00:26:38,040 +to the secondary lymphoid organs from blood + +323 +00:26:38,040 --> 00:26:43,480 +secondary lymphoid organs to the blood و هكذا ال + +324 +00:26:43,480 --> 00:26:51,050 +circulation time تقريبا 12 ساعةفي خلال 12 ساعة الـ + +325 +00:26:51,050 --> 00:26:56,170 +B lymphocyte is bring to the antigenic specificity + +326 +00:26:56,170 --> 00:27:00,230 +in contact with antigen في خلال 12 ساعة ستصادف + +327 +00:27:00,230 --> 00:27:06,590 +اللي هو ال antigen إذا صادفت ال antigen ترتبط في + +328 +00:27:06,590 --> 00:27:10,430 +ال antigen antihelper + +329 +00:27:10,430 --> 00:27:15,310 +cell in lymphoid A رجال + +330 +00:27:19,160 --> 00:27:21,680 +وبتتنشط تصل لـ Proliferation and Differentiation + +331 +00:27:21,680 --> 00:27:26,700 +تتحول لـ Memory Cell وPlasma Cell بيتولدوا في الـ + +332 +00:27:26,700 --> 00:27:30,940 +Germinal Center يعني بتطلع من البمر وتلخيصا تطلع + +333 +00:27:30,940 --> 00:27:34,040 +من البمر وعلى ال blood ثم ال primary وsecondary + +334 +00:27:34,040 --> 00:27:38,180 +lymphoid organsوبتظل الـ circulation بتظل بتلوف + +335 +00:27:38,180 --> 00:27:43,420 +لغاية ما تصل الى looking for antigen عملية اللى هو + +336 +00:27:43,420 --> 00:27:47,620 +circulation time تقريبا 12 ساعة المفروض تصادف في + +337 +00:27:47,620 --> 00:27:51,360 +ال antigenic specificity تبعتها in contact with + +338 +00:27:51,360 --> 00:27:55,000 +the antigen تشغل في ال antigenic specificity in + +339 +00:27:55,000 --> 00:27:58,720 +contact with the antigen صادفة ال antigen أخدت ما + +340 +00:27:58,720 --> 00:28:02,690 +يسمى بال survival signal وضلت عايشةما صادفت + +341 +00:28:02,690 --> 00:28:07,250 +الانتجن it will die by the way إذا كان ما صادفت + +342 +00:28:07,250 --> 00:28:10,530 +الانتجن في هذه المرحلة it will die لكن هي بتقعد + +343 +00:28:10,530 --> 00:28:14,730 +عشر ساعات بتصادف فيها الانتجن بتاخده و بتروح على + +344 +00:28:14,730 --> 00:28:20,270 +ال germinal center و هناك بتعمله processing طبعا و + +345 +00:28:20,270 --> 00:28:25,550 +بتقدمه ل T lymphocyte T helper cell و بيسميها + +346 +00:28:25,550 --> 00:28:29,190 +proliferation و differentiation و بتتحول ل memory + +347 +00:28:29,190 --> 00:28:35,570 +cell و plasma cellالألمانوريس هيل ميجريت الى + +348 +00:28:35,570 --> 00:28:42,270 +التشيوة والبلازمة هيل ميجريت الى البونمارو وبتبدأ + +349 +00:28:42,270 --> 00:28:49,470 +تولدلنا انتيبادي لفترة طويلة وقلنا البلازمة هيل + +350 +00:28:49,470 --> 00:28:54,970 +اللي بيصنعلنا IGA بتروح لبيوكوزال تشيوة ال + +351 +00:28:54,970 --> 00:28:58,710 +migration of نايم بي سيل into secondary lymphoid + +352 +00:28:58,710 --> 00:29:03,310 +organs and homing blocking for antigen + +353 +00:29:08,800 --> 00:29:12,460 +اكتفت مريان باللزمة cell population into tissue + +354 +00:29:16,040 --> 00:29:21,820 +كل العملية مسؤولة عن تكوينها الـ B cell surface of + +355 +00:29:21,820 --> 00:29:24,300 +adhesion molecule and chemokine receptor فهذه + +356 +00:29:24,300 --> 00:29:30,520 +العملية is controlled by the presence of B cell + +357 +00:29:30,520 --> 00:29:35,820 +surface of adhesion molecule تمثل بالـ CD21 and + +358 +00:29:35,820 --> 00:29:41,140 +certain chemokine أيضًا receptor عشان اللي بيطلع + +359 +00:29:41,140 --> 00:29:47,230 +أنه من إيش من T lymphocytesعلى نييف بي سيل اكسبتر + +360 +00:29:47,230 --> 00:29:54,090 +رقم سبعة الادهيجيو موليكيول ده هو 62L عبارة عن L + +361 +00:29:54,090 --> 00:29:58,530 +-Selectin والأيفا + +362 +00:29:58,530 --> 00:30:02,890 +4 بي سبن اللي هو عبارة عن انتجرين صار فيه عندنا + +363 +00:30:02,890 --> 00:30:06,530 +Selectin وانتجرين We both Selectin and Integrin + +364 +00:30:06,530 --> 00:30:11,370 +bind to glycoprotein molecule on endothelial cells + +365 +00:30:11,370 --> 00:30:19,550 +of I-endothelial venylhigh-endothelial veneer يعني + +366 +00:30:19,550 --> 00:30:23,970 +أثناء عملية حركتها وانتقالها من البون مارو على + +367 +00:30:23,970 --> 00:30:26,570 +blood circulation فمسكة مدارين الـ fluid organs + +368 +00:30:26,570 --> 00:30:30,890 +اللي بيساعد في عملية تنقلها وجود select وجود اللي + +369 +00:30:30,890 --> 00:30:38,990 +هو adhesion molecule وجود كيموقاهم receptor هنا + +370 +00:30:38,990 --> 00:30:45,610 +طبعا بعد هيك اذا واجهت ال antigenفيها نوعين الـ + +371 +00:30:45,610 --> 00:30:50,690 +Antigen ونوعين الاتفاعل طبعا من فرزه ان انا يولاني + +372 +00:30:50,690 --> 00:30:59,150 +Duothymas Dependent Antigen وفي هذه الحالة الخلية + +373 +00:30:59,150 --> 00:31:05,370 +تحتاج التيه البرسيل for ليه ال بيس الينفوسايت طبعا + +374 +00:31:05,370 --> 00:31:07,750 +to synthesize antibody + +375 +00:31:10,340 --> 00:31:14,620 +وهي تي دي بندنت تجعلها تتجهل عقلية عقلية عقلية + +376 +00:31:14,620 --> 00:31:16,120 +تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية + +377 +00:31:16,120 --> 00:31:20,120 +تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية + +378 +00:31:20,120 --> 00:31:23,780 +تتجهل + +379 +00:31:23,780 --> 00:31:27,960 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +380 +00:31:27,960 --> 00:31:29,720 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +381 +00:31:29,720 --> 00:31:30,540 +عقلية تتجهل عقلية تتجهل عقلية تتجهل عقلية تتجهل + +382 +00:31:30,540 --> 00:31:38,260 +عقلية + +383 +00:31:38,260 --> 00:31:44,720 +تتجهبتطور مذكرة طويلة بـB-Lymphocytes بـB-Cell و + +384 +00:31:44,720 --> 00:31:51,620 +بلزمة Cell أيضًا هي برعاية طويلة برعاية + +385 +00:31:51,620 --> 00:31:56,500 +طويلة برعاية برعاية برعاية تحميل الانفكام من + +386 +00:31:56,500 --> 00:32:00,760 +البكتيريا والفيروسات ثانيًا هو Thymus Independent + +387 +00:32:00,760 --> 00:32:06,960 +Antigen الخليجة في هذه الحالة لا تحتاج إلىعشان + +388 +00:32:06,960 --> 00:32:12,320 +تكوننا Antibody وفقط polysaccharides of bacterial + +389 +00:32:12,320 --> 00:32:19,760 +capsule هو عبارة عن واحد من الانتجنات اللي بيصنع + +390 +00:32:19,760 --> 00:32:24,420 +لنا أو بنشط لنا ال melinfocytes ال response is + +391 +00:32:24,420 --> 00:32:30,440 +rapid وinvolves synthesis of YGM which can + +392 +00:32:30,440 --> 00:32:35,920 +agglutinate the antigen and fix complementطبعا هذا + +393 +00:32:35,920 --> 00:32:40,620 +يعطي حماية ضد المال بكتيريا و virus infection بس + +394 +00:32:40,620 --> 00:32:45,960 +ما يميزها ان ال memory الامينولوجية لا تتطور في + +395 +00:32:45,960 --> 00:32:49,160 +نوع + +396 +00:32:49,160 --> 00:32:55,660 +اخر من الخلايا باسمها بي سل بي ون سل وده عبارة عن + +397 +00:32:55,660 --> 00:32:59,560 +sub population of B cell موجودة غالبا في + +398 +00:32:59,560 --> 00:33:02,780 +البريتونيا الكافيتى و البلولا الكافيتى + +399 +00:33:04,710 --> 00:33:13,810 +هي مجتمعات صغيرة موجودة + +400 +00:33:13,810 --> 00:33:17,170 +في الـSpleen و الـLymph Nodes يعني تواجدهم في + +401 +00:33:17,170 --> 00:33:20,810 +الغالب هو عبارة عن Pretunal and Pleural Cavity + +402 +00:33:20,810 --> 00:33:27,310 +ولكن وجودهم في الـLymph Nodes و الـSpleen خفيف في + +403 +00:33:27,310 --> 00:33:35,010 +الاطلت الـV cell مجموعة عادية Low Affinity IgMPoly + +404 +00:33:35,010 --> 00:33:39,590 +specific antibodies في + +405 +00:33:39,590 --> 00:33:47,070 +ال T independent T cell independent Primary + +406 +00:33:47,070 --> 00:33:55,450 +response to many bacteria يعني بدون ايش T cell ال + +407 +00:33:55,450 --> 00:34:01,060 +B cell B one cell sorry بتعتبرمسؤولة for + +408 +00:34:01,060 --> 00:34:06,500 +synthesizing most of natural IgM antibody اللى + +409 +00:34:06,500 --> 00:34:11,660 +موجود فى ال blood فى غياب الانتجيني الانتجين + +410 +00:34:11,660 --> 00:34:17,140 +برايبينج ال sperm cell هي عبارة عن are thought to + +411 +00:34:17,140 --> 00:34:20,600 +play a role as the first line of defense against + +412 +00:34:20,600 --> 00:34:23,440 +systemic bacteria and viral infection بدم هى + +413 +00:34:23,440 --> 00:34:27,140 +موجودة و بتفرزل كميات كبيرة من ال IgM within the + +414 +00:34:27,140 --> 00:34:31,810 +secretion اللى هو البريتونوالـ Plural Cavity هي + +415 +00:34:31,810 --> 00:34:36,230 +continuous طبعاً Secretion لأنها بتلعب دور كبير في + +416 +00:34:36,230 --> 00:34:42,170 +الـ First Line Defense Mechanism. Most B1 Cell are + +417 +00:34:42,170 --> 00:34:45,750 +characterized by the surface تتميز بوجود CD5 + +418 +00:34:45,750 --> 00:34:53,310 +Positive على سطحها وCD5 هو عبارة عن CD بنشوفه على + +419 +00:34:53,310 --> 00:34:57,510 +الخلايا اللي بتكون في chronic lymphocytic leukemia + +420 +00:35:02,290 --> 00:35:06,330 +الارتباط ما بين الـ T و الـ B-cell اللي بيصير + +421 +00:35:06,330 --> 00:35:08,510 +predominantly في الـ germinal center في الـ + +422 +00:35:08,510 --> 00:35:14,110 +secondary lymphoid organs بيصير فيه الـ AT نمرا + +423 +00:35:14,110 --> 00:35:17,570 +واحد somatic hyper mutation و احنا اتفقنا انه + +424 +00:35:17,570 --> 00:35:22,550 +بيصير فيه mutation في ال V-region بيؤدي إلى ال + +425 +00:35:22,550 --> 00:35:27,390 +affinity maturation بتحسن ال affinity لل antibody + +426 +00:35:27,390 --> 00:35:35,290 +نمرا اتنين class switching recombinationالتي كانت + +427 +00:35:35,290 --> 00:35:40,170 +تتصنع لنا IGM و IGD و الآن بتصنع لنا IGG و IGA و + +428 +00:35:40,170 --> 00:35:46,070 +IGE With the same antigenic specificity الحاجة + +429 +00:35:46,070 --> 00:35:50,650 +التالتة في Cytokine released That synthesized by T + +430 +00:35:50,650 --> 00:35:58,950 +cell وهو بمسؤول عن الisotype antibodySynthesized + +431 +00:35:58,950 --> 00:36:02,710 +يعني هو المسؤول عن which antibody can be + +432 +00:36:02,710 --> 00:36:06,990 +Synthesized يبقى ثلاث حاجات somatic hyper mutation + +433 +00:36:06,990 --> 00:36:15,310 +او affinity maturation او maturation affinity ثم + +434 +00:36:15,310 --> 00:36:20,470 +isotype switching ثم cytokine release والتلاتة + +435 +00:36:20,470 --> 00:36:25,910 +بيكونوا موجودين مش مولدين في ال primary immune + +436 +00:36:25,910 --> 00:36:30,850 +responseالـ Antibody synthesize اميوكوزل تشيو + +437 +00:36:30,850 --> 00:36:34,590 +تفقنا على ان هو عبارة عن الـDimeric Age IGA + +438 +00:36:34,590 --> 00:36:38,230 +والخلية في هذه الحالة بتكون committed بيسيلت + +439 +00:36:38,230 --> 00:36:45,790 +develop at an inductive states على طول migrate out + +440 +00:36:45,790 --> 00:36:50,970 +ذا الينفويت تشيو وبيسيلها homing back من خلال ال + +441 +00:36:50,970 --> 00:36:54,470 +bloodلـ different mucosal effector sites و هناك + +442 +00:36:54,470 --> 00:37:01,510 +تدّينا IGA secreting plasma cell و العملية ببساطة + +443 +00:37:01,510 --> 00:37:08,490 +هدا هي طبعا IGA Antibody Synthesizer دي دخل الانتج + +444 +00:37:08,490 --> 00:37:12,070 +تلقفته + +445 +00:37:12,070 --> 00:37:17,170 +طبعا الأمسل سهلت مهمة دخوله + +446 +00:37:19,630 --> 00:37:23,630 +تلقفة ال M-cell وقدمته لمين؟ لـ Dendritic cell + +447 +00:37:23,630 --> 00:37:26,730 +وDendritic cell هي عبارة عن antigen presenting + +448 +00:37:26,730 --> 00:37:31,450 +cell احنا بنحكي على peer patches inductive sites + +449 +00:37:31,450 --> 00:37:38,550 +فيه كل الخلايا بيه cell ده هي وفيه T cell طبعا + +450 +00:37:38,550 --> 00:37:47,730 +بيصير فيه proliferation و بتبدأ تتكون plasma cell + +451 +00:37:48,810 --> 00:37:55,150 +which is committed to me to IGA يعني + +452 +00:37:55,150 --> 00:38:00,130 +صار في class switching sorry ثم بتروح اعمل ال + +453 +00:38:00,130 --> 00:38:07,250 +lymphaticسيستم بتاجر على ال blood ومن ال blood + +454 +00:38:07,250 --> 00:38:11,590 +بتروح على ال mucosal effector sites و هناك بيصلها + +455 +00:38:11,590 --> 00:38:16,310 +differentiation to plasma سلو بتكون من ال IGA اللي + +456 +00:38:16,310 --> 00:38:21,090 +هو diametric IGA اللي بيصله ترتبط بال poly + +457 +00:38:21,090 --> 00:38:26,360 +immunoglobulin receptorوهو اللي موجود على ال + +458 +00:38:26,360 --> 00:38:31,960 +endothelial cell طبعا بعد هيكه بيخترقها مرتبط بهذا + +459 +00:38:31,960 --> 00:38:36,320 +ال receptor و أثناء عملية الاختراق بيتم عملية + +460 +00:38:36,320 --> 00:38:40,120 +تقطيع جزء كبير من ال poly immunoglobulin receptor + +461 +00:38:40,120 --> 00:38:44,700 +و ده لإن اللي هو ال diameric immunoglobulin مرتبط + +462 +00:38:44,700 --> 00:38:50,840 +ب secretory portion لو صار في ال mycosis تشوف طبعا + +463 +00:38:50,840 --> 00:38:51,420 +external + +464 +00:38:55,310 --> 00:39:00,770 +الـ BCL مبريم بروتين هو + +465 +00:39:00,770 --> 00:39:07,750 +عبارة + +466 +00:39:07,750 --> 00:39:17,190 +عن ماركر مختلفة من مستوى التطبيقات الـ BCL وهو + +467 +00:39:17,190 --> 00:39:24,630 +CD10, CD19, CD20, CD27 يعني بلازمةالـ membrane + +468 +00:39:24,630 --> 00:39:30,790 +immunoglobulin bind antigen identify B cell + +469 +00:39:30,790 --> 00:39:35,530 +separate B cell from other lymphocyte and + +470 +00:39:35,530 --> 00:39:40,630 +mononuclear cell ممبرين + +471 +00:39:40,630 --> 00:39:46,250 +immunoglobulin طبعا برتبط بالـ antigen وبيفصلنا ال + +472 +00:39:46,250 --> 00:39:52,360 +B lymphocyte عن خلايا أخرىموجودة signal + +473 +00:39:52,360 --> 00:39:55,020 +transduction molecule associated with the membrane + +474 +00:39:55,020 --> 00:40:00,020 +اللي هو عبارة عن immunoglobulin alpha و beta their + +475 +00:40:00,020 --> 00:40:04,800 +cytoplasmic region contain sequence of amino acid + +476 +00:40:04,800 --> 00:40:10,300 +known as immune receptor tyrosine based activation + +477 +00:40:10,300 --> 00:40:17,420 +motif او بيسموها ITM و + +478 +00:40:21,800 --> 00:40:27,160 +هذه الاختصارات تسمى أزمتيف لأنها موجودة في أخر + +479 +00:40:27,160 --> 00:40:32,180 +موليكولات تتعامل + +480 +00:40:32,180 --> 00:40:32,360 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +481 +00:40:32,360 --> 00:40:32,900 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +482 +00:40:32,900 --> 00:40:34,140 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +483 +00:40:34,140 --> 00:40:37,740 +بالتعامل + +484 +00:40:37,740 --> 00:40:38,040 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +485 +00:40:38,040 --> 00:40:38,040 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +486 +00:40:38,040 --> 00:40:38,040 +بالتعامل بالتعامل بالتعامل بالتعامل بالتعامل + +487 +00:40:38,040 --> 00:40:44,480 +بالتعامل بالتعامل بالتعامل بالتعامل + +488 +00:40:44,480 --> 00:40:50,020 +بالتعامل بالتعامل بالت + +489 +00:40:58,610 --> 00:41:04,850 +بسيل كو ريسبتور C191821 are non-covalently + +490 +00:41:04,850 --> 00:41:09,090 +associated in a complex known as B cell coreceptor + +491 +00:41:09,090 --> 00:41:12,670 +التلاتة اللي شفناهم على ال cell surface of B + +492 +00:41:12,670 --> 00:41:16,010 +lymphocytes وقلنا دي are coreceptor بيساعدوا في + +493 +00:41:16,010 --> 00:41:22,250 +عملية signal secondary signal transduction + +494 +00:41:24,840 --> 00:41:31,460 +يسمى كـ Coreceptor بيقللوا + +495 +00:41:31,460 --> 00:41:34,320 +من الactivation of B lymphocytes in response to + +496 +00:41:34,320 --> 00:41:40,200 +antigen تقريبا من قوة ردة فعل B lymphocytes in + +497 +00:41:40,200 --> 00:41:43,860 +response to an antigen لأن موته من الانتجين يحتاج + +498 +00:41:43,860 --> 00:41:50,260 +لإستميال الانتبادي هي تقريبا مية لألف مرة من مية + +499 +00:41:50,260 --> 00:41:57,280 +لألف مرة أقلإذا كوريسيبتور اكتفت مع بي سي ار + +500 +00:41:57,280 --> 00:42:00,620 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +501 +00:42:00,620 --> 00:42:03,500 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +502 +00:42:03,500 --> 00:42:04,320 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +503 +00:42:04,320 --> 00:42:05,360 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +504 +00:42:05,360 --> 00:42:05,520 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +505 +00:42:05,520 --> 00:42:10,620 +كمبارد بي سي ار كمبارد بي سي ار كمبارد بي سي ار + +506 +00:42:10,620 --> 00:42:21,340 +كمبار + +507 +00:42:21,630 --> 00:42:26,290 +يحتاج الـ B-Lymphocyte لكمية قليلة من الـ Antigen + +508 +00:42:26,290 --> 00:42:32,410 +أقل مائة مرة لألف مرة عن الكمية اللي بنا نحتاجها + +509 +00:42:32,410 --> 00:42:36,130 +عشان يتنشط الـ B-Lymphocyte من خلال الـ PCR alone + +510 +00:42:36,130 --> 00:42:42,450 +.Binding of bacteria to both the core receptor and + +511 +00:42:42,450 --> 00:42:46,370 +the globulin enhances signal to B-Lymphocyte طبيعي + +512 +00:42:46,370 --> 00:42:52,100 +جدا CD21 is a receptor for complementComponent + +513 +00:42:52,100 --> 00:42:57,440 +CD3DG اللي بيصل ال generation في البلازمة in + +514 +00:42:57,440 --> 00:43:03,200 +response to microbial pathogen اضطباط CD3DG مع + +515 +00:43:03,200 --> 00:43:08,660 +CD21 of the core receptor ايضا enhanced activation + +516 +00:43:08,660 --> 00:43:13,120 +signal delivered to the air to the PCR + +517 +00:43:17,870 --> 00:43:22,510 +هذا ال .. هذا ال ال cell surface ال بي cell + +518 +00:43:22,510 --> 00:43:31,290 +surface بيعتبر PCR وهو ال receptor تبعه أو ال + +519 +00:43:31,290 --> 00:43:38,790 +signal transducer تبعه طبعا هذا الكلام زي ما انتوا + +520 +00:43:38,790 --> 00:43:45,430 +شايفين هو هذا ايضا اللي حكينا عليها ال motif ITAM + +521 +00:43:49,380 --> 00:43:55,620 +وهي الـ CD21 وارتبط الـ CD3 دي اللي طبعا في هذا + +522 +00:43:55,620 --> 00:44:03,640 +الحالة بيقولك بينقل ال signal لل BCR اللي ارتبط + +523 +00:44:03,640 --> 00:44:09,940 +وهو ال BCR او ال CD81 اللي برضه جنبه ايوة في هذا + +524 +00:44:09,940 --> 00:44:13,680 +الحالة ال collector collectively هو عبارة عن CD19 + +525 +00:44:13,680 --> 00:44:20,890 +و 21 و 81Uncomplement Component CD3D + +526 +00:44:20,890 --> 00:44:28,590 +بيصير في Enhancing للactivation بيصير في Enhancing + +527 +00:44:28,590 --> 00:44:35,450 +للactivation بيصير في Enhancing للactivation بيصير + +528 +00:44:35,450 --> 00:44:38,730 +في Enhancing للactivation بيصير في Enhancing + +529 +00:44:38,730 --> 00:44:39,590 +للactivation بيصير في Enhancing للactivation بيصير + +530 +00:44:39,590 --> 00:44:39,750 +في Enhancing للactivation بيصير في Enhancing + +531 +00:44:39,750 --> 00:44:39,750 +للactivation بيصير في Enhancing للactivation بيصير + +532 +00:44:39,750 --> 00:44:39,750 +في Enhancing للactivation بيصير في Enhancing + +533 +00:44:39,750 --> 00:44:39,750 +للactivation بيصير في Enhancing للactivation بيصير + +534 +00:44:39,750 --> 00:44:39,750 +في Enhancing للactivation بيصير في Enhancing + +535 +00:44:39,750 --> 00:44:39,750 +للactivation بيصير في Enhancing للactivation بيصير + +536 +00:44:39,750 --> 00:44:39,750 +في Enhancing للactivation بيصير في Enhancing + +537 +00:44:39,750 --> 00:44:39,910 +للactivation بيصير في Enhancing للactivation بيصير + +538 +00:44:39,910 --> 00:44:43,550 +في Enhancing للactivation بيصير في Enhan + +539 +00:44:47,140 --> 00:44:51,480 +نقاط خاطئة لـ B-cell انتجن مرتبط بالإنينوغلابيلين + +540 +00:44:51,480 --> 00:45:00,380 +انتجن + +541 +00:45:00,380 --> 00:45:14,680 +مرتبط + +542 +00:45:14,680 --> 00:45:15,820 +بالإنينوغلابيلين + +543 +00:45:17,720 --> 00:45:28,700 +و ال Fc portion of antibody component to CD32 + +544 +00:45:28,700 --> 00:45:37,580 +بيؤدي إلى negative signal to the cell فوسفتيز + +545 +00:45:37,580 --> 00:45:41,950 +انزعيم تعمل negative signal لالـ CD19 اللي بيقولها + +546 +00:45:41,950 --> 00:45:45,770 +لـ PCR و بيصير فيه إيش إنه مشين of immunoglobulin + +547 +00:45:45,770 --> 00:45:52,810 +synthesis يعني ارتباط ال ال ال CD32 الموجود على + +548 +00:45:52,810 --> 00:45:56,990 +السطح الخلية اللي قلنا له low affinity لل FC + +549 +00:45:56,990 --> 00:46:03,330 +portion و IGG ممكن يعمل اللي هو shutting down ل ال + +550 +00:46:03,330 --> 00:46:06,290 +immune receptor + +551 +00:46:14,080 --> 00:46:19,040 +Molecule involved in T-Cell-B-Cell interaction + +552 +00:46:19,040 --> 00:46:24,040 +شفناهم برضه على الـ cell membrane of the B-cell in + +553 +00:46:24,040 --> 00:46:26,300 +addition to immunoglobulin synthesis الـ B-cell + +554 +00:46:26,300 --> 00:46:30,040 +can act as antigen presenting cell تطبق ايش؟ + +555 +00:46:30,040 --> 00:46:32,880 +بتشترك ك antigen presenting cell بتقدم ال antigen + +556 +00:46:32,880 --> 00:46:40,540 +ل CD4 T-Helper cell و بتتنشط ال B-cell و + +557 +00:46:43,000 --> 00:46:47,320 +من خلال ارتباطها طبعا بالـ Antigen و CD4 T + +558 +00:46:47,320 --> 00:46:53,040 +-Lymphocytes طبعا بي سيل في هذا الحالة اكسبرس اعمل + +559 +00:46:53,040 --> 00:46:57,420 +C Class II موليكيوم هيربط بالبيبتايد لرد من + +560 +00:46:57,420 --> 00:47:03,020 +البروتين Antigen و هيقدمها ل CD4 T-Lymphocytes + +561 +00:47:03,020 --> 00:47:06,640 +اكتبرت ايضا بي سيل اكسبرس high level of + +562 +00:47:06,640 --> 00:47:10,280 +costimulatory molecules that are required for long + +563 +00:47:10,280 --> 00:47:15,610 +along with the antigenيعني في اللي هو second + +564 +00:47:15,610 --> 00:47:23,630 +signal بيسبن وبرانكستيب الاتري موليكيول بيرتبط على + +565 +00:47:23,630 --> 00:47:24,810 +ال بي الانفسايد + +566 +00:47:28,740 --> 00:47:33,340 +CD40 موجود كـ Co-stimulatory موليكيول أيضًا موجود + +567 +00:47:33,340 --> 00:47:37,460 +على سطح الـ T-Lymphocyte CD40 بتبت بالـ CD40 + +568 +00:47:37,460 --> 00:47:43,940 +Legend هو ما يسمى CD154 موجود على سطح الـ T + +569 +00:47:43,940 --> 00:47:49,160 +-Lymphocyte وهي لسه Interaction بلعب دور كبير، ان + +570 +00:47:49,160 --> 00:47:55,290 +Critical لأRole بلعب دور كبير ومهم جدا A critical + +571 +00:47:55,290 --> 00:48:01,530 +role in isotype switching وده + +572 +00:48:01,530 --> 00:48:06,870 +الأخر حاجة اللي هو Induced costimulatory ligand هو + +573 +00:48:06,870 --> 00:48:10,390 +عبارة عن another importer costimulatory molecule + +574 +00:48:10,390 --> 00:48:14,550 +موجود على سطح ال medium for sites برتبك + +575 +00:48:14,550 --> 00:48:17,290 +بcostimulatory + +576 +00:48:19,070 --> 00:48:23,610 +مع الـ Induced Co-Stimulatory اللي موجود على سطح + +577 +00:48:23,610 --> 00:48:29,450 +الـ T lymphocytes بيعتبر + +578 +00:48:29,450 --> 00:48:33,210 +اللي هو Critical for the formation of Germinal + +579 +00:48:33,210 --> 00:48:40,130 +Center Activation الناس اللي ماعندهمش Inducer او + +580 +00:48:40,130 --> 00:48:45,470 +Inducable Co-Stimulatory Ligand او Inducable Co + +581 +00:48:45,470 --> 00:48:51,010 +-Stimulatory Moleculeبعمل مستوى عالي جدا من IGA + +582 +00:48:51,010 --> 00:48:57,310 +IGA IGG IGG + +583 +00:48:57,310 --> 00:49:00,750 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +584 +00:49:00,750 --> 00:49:00,750 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +585 +00:49:00,750 --> 00:49:00,750 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +586 +00:49:00,750 --> 00:49:00,750 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +587 +00:49:00,750 --> 00:49:00,870 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +588 +00:49:00,870 --> 00:49:00,870 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +589 +00:49:00,870 --> 00:49:00,870 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +590 +00:49:00,870 --> 00:49:00,950 +IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG IGG + +591 +00:49:00,950 --> 00:49:04,470 +IGG IGG IGG IGG IGG IG + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/6l-pMLFCrw8_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/6l-pMLFCrw8_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..5486fd611bb9fcd96bc7ff63952bc837a9328f79 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/6l-pMLFCrw8_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 3064, "start": 1.4, "end": 30.64, "text": "بسم الله الرحمن الرحيم سنتحدث اليوم ان شاء الله عن ال non-nuclear phagocytes in immune 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+الأساسي وماذا تعمل + +4 +00:00:18,960 --> 00:00:26,000 +microphage هي عبارة عن highly efficient phagocytes + +5 +00:00:26,000 --> 00:00:31,480 +يعني دورها الأساسي phagocytic cell بشكل أساسيوهي + +6 +00:00:31,480 --> 00:00:37,360 +تلعب رولة مهمة في الـ pathogen إعلاق وإطلاق + +7 +00:00:37,360 --> 00:00:43,500 +وإزالة يعني كمان بتشيل كل الدبريز كل الcells اللي + +8 +00:00:43,500 --> 00:00:48,180 +ماتت من المجتمع ومش + +9 +00:00:48,180 --> 00:00:51,120 +بس فيك ال macrophage بتعبر كبير كمان في ال cell + +10 +00:00:51,120 --> 00:00:55,200 +mediated immunity و recognition of a intracellular + +11 +00:00:55,200 --> 00:00:59,380 +pathogen وdefense against them زي ال mycobacteria + +12 +00:00:59,750 --> 00:01:02,970 +من خلال تكوين ما يسمى بالـ Granuloma accumulation + +13 +00:01:02,970 --> 00:01:08,150 +of the site of infection and formation of the + +14 +00:01:08,150 --> 00:01:14,450 +granuloma الجدول التالي هيبين لنا دور كل من ال + +15 +00:01:14,450 --> 00:01:18,050 +macrophage وdendritic cell in cell in immune + +16 +00:01:18,050 --> 00:01:25,310 +defense mechanism ونشوف من النظرة الأولىهنلاحظ أن + +17 +00:01:25,310 --> 00:01:30,110 +الـ Macrophage لها ست وظائف أو بتلعب في ست اتجاهات + +18 +00:01:30,110 --> 00:01:34,730 +مختلفة ماشي لها دور أساسي في ال innate immunity + +19 +00:01:34,730 --> 00:01:39,570 +and Optical Clearance من خلال الـ Non-specific أو + +20 +00:01:39,570 --> 00:01:45,350 +Non-opsinic Receptor أنفاجوه سيتوسس ماشي هذه الدور + +21 +00:01:45,350 --> 00:01:48,970 +الأساسي كمان تلعب دور كبير في ال acquired humoral + +22 +00:01:48,970 --> 00:01:53,830 +immunityومن خلال Antibody and Complement Dependent + +23 +00:01:53,830 --> 00:01:58,010 +Phagocytosis and Cytotoxicity في ريسبتر على سطحها + +24 +00:01:58,010 --> 00:02:04,230 +لهذه العناصر لها دور كبير في ال inflammation and + +25 +00:02:04,230 --> 00:02:11,030 +repair and tissue injury من خلال certain mediators + +26 +00:02:12,180 --> 00:02:17,140 +At of local and systemic response So one can يعني + +27 +00:02:17,140 --> 00:02:21,460 +at site of infection or at distance اللي هدول + +28 +00:02:21,460 --> 00:02:25,380 +أساسي في ال acquired immunity من خلال antigen + +29 +00:02:25,380 --> 00:02:31,200 +processing and presentation وطبعاترتيبها للـ + +30 +00:02:31,200 --> 00:02:35,400 +Dentatexel ثم للميكروفيرج أيضًا لها دور في الـ + +31 +00:02:35,400 --> 00:02:38,820 +Acquired Cellular Immunity من خلال الـ Activation + +32 +00:02:38,820 --> 00:02:44,020 +Activation of Microphage Effector Mechanism By الـ + +33 +00:02:44,020 --> 00:02:49,720 +NK and T Cell و هذا ميكانزم حكينا فيه سابقًا ثم + +34 +00:02:49,720 --> 00:02:56,320 +أيضًا لها دور في ال Immunosuppression من خلال الـ + +35 +00:02:56,320 --> 00:03:03,960 +Tolerance VersusAuto-immunity هذه الأدوار كثيرة + +36 +00:03:03,960 --> 00:03:12,560 +ومهمة جدا في الـ Immune Defense قسموهم + +37 +00:03:12,560 --> 00:03:21,880 +إلى two populations جالو في Resident or + +38 +00:03:21,880 --> 00:03:26,640 +stationary macrophage بمعنى انها جاعدة في organs + +39 +00:03:26,640 --> 00:03:27,540 +مثابتة + +40 +00:03:30,110 --> 00:03:33,690 +حاجة تدخل على هذا ال organs دورها الأساسي انها + +41 +00:03:33,690 --> 00:03:39,790 +تخلصنا منه وفي اللي هو circulatory macrophage او + +42 +00:03:39,790 --> 00:03:42,990 +ما تسمى ال recruited macrophage اللي بنادي عليها + +43 +00:03:42,990 --> 00:03:46,610 +at site of infection جدول هذا تبين ان ال resident + +44 +00:03:46,610 --> 00:03:51,010 +tissue macrophage population اسمها في العضاء + +45 +00:03:51,010 --> 00:03:55,850 +المختلفة من الجسم ووظيفتها أيضا يعني على سبيل + +46 +00:03:55,850 --> 00:03:59,030 +المثال في البنمرو في stromal macrophage شو دورها؟ + +47 +00:03:59,320 --> 00:04:02,920 +يجب أن تتعامل مع بيانات الهيموبياتيكية و تحرر + +48 +00:04:02,920 --> 00:04:10,560 +النيوكليات النيوكليات تبع ال RBCs في الليفر كوفر + +49 +00:04:10,560 --> 00:04:15,180 +تعمل تفريق بيانات و كومبليكسيه من الدم في الاسبلين + +50 +00:04:15,180 --> 00:04:18,660 +موجودة في ال red polyps و في ال white polyps و + +51 +00:04:18,660 --> 00:04:25,930 +أيضا تعمل تفريق لسنسنت و أبوبتك بيانات و هكذافي كل + +52 +00:04:25,930 --> 00:04:30,050 +عضو من الأعضاء اللي هي اسم معين and it's distinct + +53 +00:04:30,050 --> 00:04:35,590 +wished from other اللي هي specific phenotypic + +54 +00:04:35,590 --> 00:04:42,830 +appearance بتختلف من عضو إلى عضو ال microphage + +55 +00:04:42,830 --> 00:04:46,990 +أيضا can regulate وزي ما انتوا شايفين فيه اكتر من + +56 +00:04:46,990 --> 00:04:51,960 +signal can activate فيه اللي هو ال microphageعلى + +57 +00:04:51,960 --> 00:04:55,860 +سبيل المثال الهيبو بوريسا كريتز اللي هي الهيبو + +58 +00:04:55,860 --> 00:04:57,480 +بوريسا كريتز اللي هي الهيبو بوريسا كريتز اللي هي + +59 +00:04:57,480 --> 00:04:57,880 +الهيبو بوريسا كريتز اللي هي الهيبو بوريسا كريتز + +60 +00:04:57,880 --> 00:04:59,040 +اللي هي الهيبو بوريسا كريتز اللي هي الهيبو بوريسا + +61 +00:04:59,040 --> 00:04:59,860 +كريتز اللي هي الهيبو بوريسا كريتز اللي هي الهيبو + +62 +00:04:59,860 --> 00:05:00,540 +بوريسا كريتز اللي هي الهيبو بوريسا كريتز اللي هي + +63 +00:05:00,540 --> 00:05:03,620 +الهيبو بوريسا كريتز اللي هي الهيبو بوريسا كريتز + +64 +00:05:03,620 --> 00:05:09,480 +اللي هي الهيبو بوريسا كريأيضًا يمكن تفعيله + +65 +00:05:09,480 --> 00:05:14,960 +باستخدام افعالة الـ cytokine تمر نكروسيس جاما + +66 +00:05:14,960 --> 00:05:19,680 +انترفيروم تم إطلاقه من تمر تهيبر 1 وهو يمكن تفعيله + +67 +00:05:19,680 --> 00:05:24,020 +أيضًا في مكروفيج ومن ثم كيسيل وبالتالي يبتدع + +68 +00:05:24,020 --> 00:05:30,460 +عبدالكبير في البرو انفلاماتوري ميدياتر وفي + +69 +00:05:30,460 --> 00:05:34,380 +الcell mediated immunity من خلال تنشيط أو ما يسمى + +70 +00:05:34,380 --> 00:05:38,210 +بالجرانيالوهما اللي توقع حكينا عنهالتخلص من تجارب + +71 +00:05:38,210 --> 00:05:44,170 +الـ Hypersensitivity أيضًا الـ Monocytes يمكن أن + +72 +00:05:44,170 --> 00:05:49,690 +يكونوا مفعولين من خلال تحسين الاختصام الخاص بـ MHC + +73 +00:05:49,690 --> 00:05:54,150 +Class 2 وبالتالي يتحسن الانتجن بريزنتيشن أيضًا + +74 +00:05:54,150 --> 00:05:58,450 +يمكن أن يتحسن الاندو سايتوسيس من خلال هذه التقنية + +75 +00:05:58,450 --> 00:06:04,270 +أو من خلال هذه التقنية وإن كانت هذه التقنية فقط + +76 +00:06:04,270 --> 00:06:09,230 +مستخدمةاندو سايتوسيز انما ال killing process is + +77 +00:06:09,230 --> 00:06:13,550 +not efficient بهذا التقنيق او بهذا ال procedure + +78 +00:06:13,550 --> 00:06:17,050 +الوجه + +79 +00:06:17,050 --> 00:06:22,070 +الآخر او الثالث لل macrophage انه can induce anti + +80 +00:06:22,070 --> 00:06:25,070 +inflammatory response by releasing certain + +81 +00:06:25,070 --> 00:06:31,410 +cytokine زي IL-10 ده هو which can induce the + +82 +00:06:31,410 --> 00:06:33,570 +secretion of transforming growth factor beta + +83 +00:06:34,640 --> 00:06:38,880 +وبالتالي بتشتغل بتصير Deactivated Macrophage + +84 +00:06:38,880 --> 00:06:47,700 +وبالتالي it's an anti-inflammatory response يبدأ + +85 +00:06:47,700 --> 00:06:51,280 +مرات بـpro-inflammatory a release of certain + +86 +00:06:51,280 --> 00:06:52,180 +mediators + +87 +00:06:54,980 --> 00:06:59,640 +بدور أساسي كمان بتلعب دور كبير ك Anti-inflammatory + +88 +00:06:59,640 --> 00:07:05,340 +و it can be alternatively activated من خلال اللي + +89 +00:07:05,340 --> 00:07:09,020 +هو ال endocytosis process اللي can be induced + +90 +00:07:09,020 --> 00:07:12,460 +which وبالتالي بنقدر نقول ان ال signals from + +91 +00:07:12,460 --> 00:07:16,580 +microbial products or phytocytosis and cytokine + +92 +00:07:16,580 --> 00:07:23,220 +كلها بتأدي إلىاللي هو أوجه مختلفة لـ Macrophage + +93 +00:07:23,220 --> 00:07:28,540 +وتنشيطات مختلفة لـ Macrophage ودور أساسي في مواقع + +94 +00:07:28,540 --> 00:07:33,380 +مختلفة ما هي الـ Secretory Products which are + +95 +00:07:33,380 --> 00:07:37,460 +released from Macrophage؟ وهذا جدول بيبين أنها + +96 +00:07:37,460 --> 00:07:42,700 +Different Secretory Product تنتج من الـ Macrophage + +97 +00:07:42,700 --> 00:07:45,760 +فأول واحد هو اللي هو Molecular Weight Metabolites + +98 +00:07:45,760 --> 00:07:50,280 +زي كل Reactiveأكسجين و نيتروجين و نيتروجين و + +99 +00:07:50,280 --> 00:07:50,400 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +100 +00:07:50,400 --> 00:07:51,660 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +101 +00:07:51,660 --> 00:07:54,160 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +102 +00:07:54,160 --> 00:07:58,260 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +103 +00:07:58,260 --> 00:08:03,640 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +104 +00:08:03,640 --> 00:08:03,900 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +105 +00:08:03,900 --> 00:08:03,900 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +106 +00:08:03,900 --> 00:08:08,820 +نيتروجين و نيتروجين و نيتروجين و نيتروجين و + +107 +00:08:08,820 --> 00:08:14,760 +نيتروجين و نيتروجين و + +108 +00:08:14,760 --> 00:08:18,260 +نيتمن الـ cytokine سواء كانت stimulatory أو + +109 +00:08:18,260 --> 00:08:20,640 +inhibitory زي الـ transform of growth factor beta + +110 +00:08:20,640 --> 00:08:28,320 +أيضا it can release certain chemokine زي اللي هو + +111 +00:08:28,320 --> 00:08:36,660 +CCL2 و 3 أو 4 أو 5 أو 8 كلهم لهم دور كبير كاللي هو + +112 +00:08:36,660 --> 00:08:42,370 +اللي هو ال receptors في مواقع مختلفةأدهيجي + +113 +00:08:42,370 --> 00:08:46,250 +الميليكيويز الفابرينكتراترومبسبردين وده بلعب دور + +114 +00:08:46,250 --> 00:08:48,730 +كبير في ال optionization Matrix adhesion في + +115 +00:08:48,730 --> 00:08:54,870 +agocytosis في pheropoptic cells complement بتنتج + +116 +00:08:54,870 --> 00:09:02,430 +كل ال complement أشهرها C3 وبتلعب دور كبير ك local + +117 +00:09:02,430 --> 00:09:07,810 +optionizer Procoagulant بتنتج Tesiofactor هذا + +118 +00:09:07,810 --> 00:09:10,170 +عبارة عن plotting cascade + +119 +00:09:14,570 --> 00:09:19,290 +فاكتور و ايضا تفرز انزايم مثل Lysosome , + +120 +00:09:19,290 --> 00:09:23,190 +Eurokinese, Collagenese, Elastese كلهم بيلعبوا دور + +121 +00:09:23,190 --> 00:09:28,550 +كبير ك Gram Positive Bacterial Lysis Lysosome و + +122 +00:09:28,550 --> 00:09:34,070 +Eurokinese مثل Fibrinolysis و هكذا طيب + +123 +00:09:34,070 --> 00:09:39,160 +نجي نأكد هذا الكلام من خلالالكتابة Macrophage, + +124 +00:09:39,260 --> 00:09:42,220 +Myeloid, Dendritic Cells and Osteoclast كلهم + +125 +00:09:42,220 --> 00:09:48,740 +بيطلعوا من الماء مونوسايتز كلهم ماشي ممكن تفرشهم + +126 +00:09:48,740 --> 00:09:53,000 +من المشاركة للمونوسايتز لو تحكينا ان في resident + +127 +00:09:53,000 --> 00:09:55,960 +macrophages اللي which are widely distributed + +128 +00:09:55,960 --> 00:09:59,120 +through out the body و they are phenotypically + +129 +00:09:59,120 --> 00:10:03,050 +distinct populationsيعني بيختلفوا باختلاف المنطقة + +130 +00:10:03,050 --> 00:10:08,550 +within the different zone of spleen, lymph nodes + +131 +00:10:08,550 --> 00:10:14,250 +or whatever the organ is Resident macrophage and + +132 +00:10:14,250 --> 00:10:19,530 +recruited macrophage respond according to locally + +133 +00:10:19,530 --> 00:10:23,370 +produced cytokine حسب ال cytokine المصلة فعلى سبيل + +134 +00:10:23,370 --> 00:10:30,800 +المثال QTL-1 SecretGamma Interferon بإمكانها تحسن + +135 +00:10:30,800 --> 00:10:34,200 +الانفلاماتوري والانتمايكروبيا والاكتفاة وشفناها في + +136 +00:10:34,200 --> 00:10:40,880 +الفجر اللي فات دي ال باب تو أيضا اندوس الاختلاف + +137 +00:10:40,880 --> 00:10:42,660 +الاختلاف الاختلاف الاختلاف الاختلاف الاختلاف + +138 +00:10:42,660 --> 00:10:46,520 +الاختلاف الاختلاف الاختلاف الاختلاف الاختلاف + +139 +00:10:46,520 --> 00:10:51,440 +الاختلاف الاختلاف + +140 +00:10:51,440 --> 00:10:53,720 +الاختلاف الاختلاف الاختلاف الاختلاف الاختلاف + +141 +00:10:53,720 --> 00:10:54,260 +الاختلاف الاختلاف الاختلاف الاختلاف الاختلاف + +142 +00:10:54,260 --> 00:10:54,280 +الاختلاف الاختلاف الاختلاف الاختلاف الاختلاف + +143 +00:10:54,280 --> 00:10:58,140 +الاختلاف الاختلاف الاختلاف الاختاكشن اندوز + +144 +00:10:58,140 --> 00:11:03,440 +انتيانفلامتري اكشن من خلال هو secretion of او + +145 +00:11:03,440 --> 00:11:10,040 +inducing its inhibitory effectsresident macrophage + +146 +00:11:10,040 --> 00:11:14,760 +clear apoptic cells من خلال زي ما قلنا اللي هو + +147 +00:11:14,760 --> 00:11:21,160 +certain adhesion molecule و adhesion receptors + +148 +00:11:21,160 --> 00:11:24,520 +فبتعمل زي ال vetronectal receptors فبتعمل + +149 +00:11:24,520 --> 00:11:30,640 +endocytosis وزي ما قلنا ال killing activity is not + +150 +00:11:30,640 --> 00:11:37,070 +efficient بهذا الميكانزم ال macrophageأيضًا + +151 +00:11:37,070 --> 00:11:40,150 +Internalized pathogen using variety of specific + +152 +00:11:40,150 --> 00:11:44,010 +and opsonic receptor من هذه الريسبتور هي ال + +153 +00:11:44,010 --> 00:11:46,530 +-hypopolysaccharide receptor ال-dolyric receptor + +154 +00:11:46,530 --> 00:11:50,250 +المنوس ريسبتور ال-RFC ريسبتور الكمبليمنت ريسبتور + +155 +00:11:50,250 --> 00:11:55,350 +لواحد و تلاتة و أربعة complement component يعني + +156 +00:11:55,350 --> 00:12:00,650 +لها different receptor على سطحها تخيلوا قداش تعداد + +157 +00:12:00,650 --> 00:12:06,310 +هذه الريسبتوراكتفيشين مايكروفاج ايضا تخلص من + +158 +00:12:06,310 --> 00:12:11,370 +سيتوكاين وانزين او complement system موليكيول و + +159 +00:12:11,370 --> 00:12:16,310 +بروكواجلاند موليكيول وهذا شفناه في الجدول السابق + +160 +00:12:16,310 --> 00:12:22,170 +اكتفيشين مايكروفاج ينتج اكسجين رهيب ونيتروجين + +161 +00:12:22,170 --> 00:12:28,870 +متوسط هؤلاء مخلصان جدًا لإندوستوز بكتيريا وفنجاى + +162 +00:12:29,550 --> 00:12:34,730 +وأيضا شفناها في الجدول recently recruited cells + +163 +00:12:34,730 --> 00:12:41,570 +are most effective at antimicrobial killing بينما + +164 +00:12:41,570 --> 00:12:46,270 +ال resting macrophages have only limited killing + +165 +00:12:46,270 --> 00:12:50,430 +activity طبيعي اللي بتحرك نشاطه هيكون أكتر من اللي + +166 +00:12:50,430 --> 00:12:58,550 +عيش من اللي قاعدهذا ما يتعلق بالـ macrophage بتطلق + +167 +00:12:58,550 --> 00:13:03,650 +إلى other cytotoxic cells Cell-mediated + +168 +00:13:03,650 --> 00:13:08,150 +cytotoxicity is essential defense mechanism ليش + +169 +00:13:08,150 --> 00:13:10,690 +الـ intracellular pathogen بما فيها الويروس + +170 +00:13:10,690 --> 00:13:15,990 +بكتيريا parasites and tumor cells كلها بتلعب دور + +171 +00:13:15,990 --> 00:13:20,230 +كبير they can become cytotoxic or target for + +172 +00:13:20,230 --> 00:13:24,700 +cytotoxic cellsالprocess is important in the + +173 +00:13:24,700 --> 00:13:27,940 +destruction of allergenic tissue graft ضور + +174 +00:13:27,940 --> 00:13:33,480 +cytotoxic cells في هذا الموضوع حيث هو الأساسي this + +175 +00:13:33,480 --> 00:13:37,880 +activity is executed by several types of cells + +176 +00:13:37,880 --> 00:13:43,760 +منها فيها cytotoxic T cell و ال NK cell و بعض مرات + +177 +00:13:43,760 --> 00:13:49,200 +ال myeloid cells يبقى ال major cellsالتي يمكن أن + +178 +00:13:49,200 --> 00:13:52,640 +تستخدم مصادر مدعومة لـ Cytotoxicity وبيسموها + +179 +00:13:52,640 --> 00:13:57,480 +Cytotoxic Cells هي الـ T-Cytotoxic و الـ NK Cell + +180 +00:13:57,480 --> 00:14:03,460 +بشكل أساسي يعني الـ T-Cytotoxic C دي ايه الـ T + +181 +00:14:03,460 --> 00:14:06,480 +-Cytotoxic Cell؟ كان ريكوينيز أنتجينيك دي بتاعت + +182 +00:14:06,480 --> 00:14:10,580 +presented on MHC Class I مش بتقدملها الانتجن مرتبط + +183 +00:14:10,580 --> 00:14:15,190 +ب MHC Class I موليكيولبينما الـ NK cell react + +184 +00:14:15,190 --> 00:14:18,490 +against cell which do not express MSC class I + +185 +00:14:18,490 --> 00:14:23,610 +شوفوا الفارق في الميكانيزم واحدة بتتعرف على MSC + +186 +00:14:23,610 --> 00:14:27,710 +class I مليكيون وواحدة بتتعرف على ال presence of + +187 +00:14:27,710 --> 00:14:31,930 +MSC class I مليكيون وجوده تايتر وغيره they can + +188 +00:14:31,930 --> 00:14:35,710 +interact with these cells using a variety of + +189 +00:14:35,710 --> 00:14:40,990 +receptors وشوفنا ميكانيزم الـ NK cell في محاضرة + +190 +00:14:40,990 --> 00:14:48,050 +سابقةطيب كيف يحدث الـ cytotoxicity؟ قالوا غناصر + +191 +00:14:48,050 --> 00:14:51,850 +الـ cytotoxicity نمرة واحد اللي هو cell to cell + +192 +00:14:51,850 --> 00:14:54,630 +interaction لازم يحصل فيه cell to cell contact + +193 +00:14:54,630 --> 00:14:59,410 +نمرة اتنين cytokine release ونمرة تلاتة granule + +194 +00:14:59,410 --> 00:15:04,070 +release ماشي يحصل فيه اللي هو الـ lithium-heat + +195 +00:15:04,070 --> 00:15:09,860 +degranulation في آخر الحاجةميكانيزم آخر أيضًا can + +196 +00:15:09,860 --> 00:15:13,140 +be included و هو الـ Fas-Ligand Anti-Human + +197 +00:15:13,140 --> 00:15:18,000 +Necrosis Factor These can signal apoptosis to the + +198 +00:15:18,000 --> 00:15:20,900 +target cell نحن نعرف الـ Fas هو عبارة عن death + +199 +00:15:20,900 --> 00:15:27,840 +receptor أو الـ Fas-Ligand و بالتالي can induce + +200 +00:15:27,840 --> 00:15:33,390 +apoptosis to the cellأيضًا من أدوات القتل الـ + +201 +00:15:33,390 --> 00:15:37,070 +Granules زي الـ Perforin والـ Granzyme تدفع إلى + +202 +00:15:37,070 --> 00:15:42,990 +تهيأة أدوات الأدوات التي تستخدمها الـ cell الـ + +203 +00:15:42,990 --> 00:15:48,290 +cytotoxic cells هي من شروطها cell to cell contact، + +204 +00:15:48,290 --> 00:15:52,000 +release of cytokine، release of granulesأيضًا + +205 +00:15:52,000 --> 00:15:55,760 +أسلوب آخر للقتل من خلال الـ Death Receptor وهو الـ + +206 +00:15:55,760 --> 00:16:02,260 +Fas-Ligand and Tumor Necrosis Factor Signal و + +207 +00:16:02,260 --> 00:16:06,860 +الأخير والـ Granules من خلال الـ Release أو الـ + +208 +00:16:06,860 --> 00:16:10,640 +Perforation of the Enzyme اللي بيعملوا أيضًا تشو + +209 +00:16:10,640 --> 00:16:19,120 +أو Cell Damage اتفقنا على أن الفاسيتم تفكيره على + +210 +00:16:19,120 --> 00:16:22,260 +ميكروسفاكتوريسيبتر على الـ target cell بيؤدي + +211 +00:16:22,260 --> 00:16:25,580 +للاكتفاء من كاسا بيسيس والكاسا بيسيس هي عبارة عن + +212 +00:16:25,580 --> 00:16:30,680 +مجموعة من الإنزيمات التي تتعامل بالتعبير على + +213 +00:16:30,680 --> 00:16:34,360 +أبوبتوسس + +214 +00:16:34,360 --> 00:16:40,040 +والجدول القاتىبيبين لنا أو الصورة القادمة في جرح + +215 +00:16:40,040 --> 00:16:45,460 +الإتقاط بيبين لنا اللي هو ال interaction between T + +216 +00:16:45,460 --> 00:16:48,880 +-cytotoxic and their target cell وطبعا هذا ال + +217 +00:16:48,880 --> 00:16:52,380 +interaction حكينا فيه سابقا زي ما انتوا شايفين هي + +218 +00:16:52,380 --> 00:16:57,120 +T-cytotoxic lymphocytes وهي ال target cell T + +219 +00:16:57,120 --> 00:17:02,790 +-cytotoxic أول تحتاج إلى أكتر من هاشمن signal to + +220 +00:17:02,790 --> 00:17:07,470 +be activated فاول واحدة TCR بتبين ال antigen اللي + +221 +00:17:07,470 --> 00:17:12,810 +ممسوك بال MHC class I موليكيول وبيجي ال coreceptor + +222 +00:17:12,810 --> 00:17:18,890 +اللي هو CD8 بيرتبط بال MHC class I موليكيول وهذه + +223 +00:17:18,890 --> 00:17:25,530 +بتسميها اللي هو ال first signal لكنها تحتاج إلى + +224 +00:17:25,530 --> 00:17:34,370 +other signalماشي منها اللي هو CD2 برتبط بال + +225 +00:17:34,370 --> 00:17:40,210 +leukocyte functioning antigen تلاتة و leukocyte + +226 +00:17:40,210 --> 00:17:43,450 +functioning antigen one على cytotoxic telemphocyte + +227 +00:17:43,450 --> 00:17:46,950 +برتبط بال ICAM-1 وال ICAM-1 هو عبارة عن + +228 +00:17:46,950 --> 00:17:53,320 +intracellularAdhesion molecule number one فبتقوى + +229 +00:17:53,320 --> 00:17:58,940 +الرابطة بيصير فيه ايش في activation and cytotoxic + +230 +00:17:58,940 --> 00:18:03,740 +activity activation + +231 +00:18:03,740 --> 00:18:05,960 +and + +232 +00:18:07,470 --> 00:18:11,830 +Target Cell Killing By CD8-T Cytotoxic Cell حكينا + +233 +00:18:11,830 --> 00:18:17,650 +فيها في الـ B Cell Activity Lecture و أيضا كيفية + +234 +00:18:17,650 --> 00:18:22,410 +اللي هو فاز فاز legend activity هي زي ما قلنا CD4 + +235 +00:18:22,410 --> 00:18:31,650 +-T Cell بتستخدم CD95 وهو عبارة عن فاز مع ال CD178 + +236 +00:18:31,650 --> 00:18:36,490 +و اللي موجود على ال + +237 +00:18:38,320 --> 00:18:42,240 +بـ Target Cell وبالتالي بيصير فيه أيضًا Fast Fast + +238 +00:18:42,240 --> 00:18:51,020 +-Legend Activity و Killing Mechanism نحكي + +239 +00:18:51,020 --> 00:18:54,500 +على الان على الـ Non-Lymphoid Cytotoxic Effects + +240 +00:18:54,500 --> 00:18:59,220 +خلايا غير لنفوية يعني ان الـ Macrophages + +241 +00:18:59,220 --> 00:19:02,920 +Macrophages can damage target using their non + +242 +00:19:02,920 --> 00:19:08,160 +-specific toxic effect or system and viavia + +243 +00:19:08,160 --> 00:19:16,460 +cytokine وفيما عدد من الـ non lymphoid cytotoxic + +244 +00:19:16,460 --> 00:19:21,540 +cell which can invade micro organism زي البكتيريا + +245 +00:19:21,540 --> 00:19:28,460 +و البراسيز cytotoxicity أيضا ممكن تصير من خلالالـ + +246 +00:19:28,460 --> 00:19:32,440 +Antibody Dependent Cell-mediated Cytotoxicity + +247 +00:19:32,440 --> 00:19:39,480 +ميكانيزم اللي يتعامل مع مدينة تكسيك غير محدودة + +248 +00:19:43,160 --> 00:19:46,140 +أيضًا من خلال الارتباط اللي هو الـ macrophage و + +249 +00:19:46,140 --> 00:19:48,680 +النيتروفيل، these are phagocytic cell اللي لهم + +250 +00:19:48,680 --> 00:19:53,560 +receptors لل-FC portion of IgG على سطحهم، فعلى + +251 +00:19:53,560 --> 00:19:56,980 +سبيل المثال، التنتينة دول اللي لهم receptor لل-FC + +252 +00:19:56,980 --> 00:20:00,300 +gamma ريحص الـReceptor 1 والـFC gamma ريحص + +253 +00:20:00,300 --> 00:20:06,040 +الـReceptor 2، وده بيمكنهم من الارتباط بال tumor + +254 +00:20:06,040 --> 00:20:10,100 +cell بالـantigen and induce ADCC + +255 +00:20:12,640 --> 00:20:16,740 +ميكروفاجيا النيتروفيل تهيأ لإدمار الوضع بإدخاله + +256 +00:20:16,740 --> 00:20:20,320 +للداخلية للجسم ومن خلال ذلك يتم إدخاله للداخلية + +257 +00:20:20,320 --> 00:20:22,840 +للجسم و يتم إدخاله للداخلية للجسم و يتم إدخاله + +258 +00:20:22,840 --> 00:20:24,460 +للداخلية للجسم و يتم إدخاله للداخلية للجسم و يتم + +259 +00:20:24,460 --> 00:20:25,300 +إدخاله للداخلية للجسم و يتم إدخاله للداخلية للجسم + +260 +00:20:25,300 --> 00:20:28,140 +و يتم إدخاله للداخلية للجسم و يتم إدخاله للداخلية + +261 +00:20:28,140 --> 00:20:31,080 +للجسم و يتم إدخاله للداخلية للجسم و يتم إدخاله + +262 +00:20:31,080 --> 00:20:38,400 +للداخلية للجسم و يتم إدخاله للداخلية للجسم و + +263 +00:20:38,400 --> 00:20:42,510 +يتمأيضا ماكروفيرس يجعل للمخلوق اللي يسمّى human + +264 +00:20:42,510 --> 00:20:50,030 +necrosis فاكتور ممكن أن يدعم ابوبتوسيز وأيضا + +265 +00:20:50,030 --> 00:20:56,810 +الفيجر الأتي بيبين لي ال mechanism that may + +266 +00:20:56,810 --> 00:21:00,330 +contribute to the cytotoxicity of myeloid cell + +267 +00:21:00,330 --> 00:21:04,930 +شوفوا إيش اللي بيصير بطلع reactive oxygen species + +268 +00:21:04,930 --> 00:21:08,710 +ماشي بطلع + +269 +00:21:10,040 --> 00:21:19,600 +reactive nitrogen species بيطلع c3a receptor sorry + +270 +00:21:19,600 --> 00:21:25,120 +c3a component و طبعا هذه اللي هدور في ال + +271 +00:21:25,120 --> 00:21:31,260 +recruitment of other cells super oxide, anion, + +272 +00:21:31,400 --> 00:21:34,740 +reactive intermediate, nitric oxide, human + +273 +00:21:34,740 --> 00:21:40,050 +interest factor alpha كلهم هدول بيطلعوا ماشيالذي + +274 +00:21:40,050 --> 00:21:43,390 +يتم إطلاقه من جسد الميليويد ويمكنه تدمير الجسد + +275 +00:21:43,390 --> 00:21:48,590 +المهاجر بالإضافة إلى سيتوكاين ميدياتيال التحكي + +276 +00:21:48,590 --> 00:21:53,550 +الادينفيل أيضًا ليس لينفويد + +277 +00:21:56,710 --> 00:22:03,490 +بتعمل تعمل تعمل تعمل تعمل تعمل + +278 +00:22:03,490 --> 00:22:11,850 +تعمل تعمل تعمل تعمل تعمل + +279 +00:22:15,110 --> 00:22:20,230 +الجراميوس تحتوي على التالي تحتوي على بروتين أساسي + +280 +00:22:20,230 --> 00:22:24,870 +كبير يمكن أن يقتل الحيوانات إيزينوفيل بالاكسيديز + +281 +00:22:24,870 --> 00:22:31,050 +وهو قاتل قوى للحيوانات بإكسيد الهالايد لإنتاج + +282 +00:22:31,050 --> 00:22:37,570 +حيبوهالايد وإيزينوفيل كاتيانيك بروتين وهو قادر على + +283 +00:22:37,570 --> 00:22:43,310 +قتل الحيوانات مثل الشيستوسوما يمكن أن نكون + +284 +00:22:43,310 --> 00:22:51,190 +استعرضناالـ Mononuclear phagocytic cell و الـ + +285 +00:22:51,190 --> 00:23:02,330 +cytotoxic effect induced by these cells أشكر + +286 +00:23:02,330 --> 00:23:03,470 +لكم استماعكم + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/8g1W-HF2ZGc.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/8g1W-HF2ZGc.srt new file mode 100644 index 0000000000000000000000000000000000000000..c42b3dc941a7fd34484ba543a3f59f82a26c98d5 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/8g1W-HF2ZGc.srt @@ -0,0 +1,2163 @@ +1 +00:00:01,260 --> 00:00:05,520 +بسم الله الرحمن الرحيم نتحدث اليوم عن ال + +2 +00:00:05,520 --> 00:00:10,060 +immunodeficiency syndrome و ال immunodeficiency + +3 +00:00:10,060 --> 00:00:17,340 +syndrome وهي مقسمة مرة + +4 +00:00:17,340 --> 00:00:21,500 +أخرى بسم الله الرحمن الرحيم نتحدث اليوم عن ال + +5 +00:00:21,500 --> 00:00:25,780 +immunodeficiency syndrome these are divided into + +6 +00:00:25,780 --> 00:00:30,720 +two major categories قسمناهم إلى قسمين أساسيين + +7 +00:00:30,720 --> 00:00:33,260 +فيه primary immune deficiency و فيه secondary + +8 +00:00:33,260 --> 00:00:38,740 +immune deficiency طبعا في كلتا الحالتين هناك حالات + +9 +00:00:38,740 --> 00:00:43,460 +مرضية متباينة سنتطرق لأمثلة كثيرة في كل نوع من هذه + +10 +00:00:43,460 --> 00:00:52,620 +الأنواع the categories + +11 +00:00:52,620 --> 00:00:58,050 +of primary immune response او deficiency طيب نحن + +12 +00:00:58,050 --> 00:01:01,030 +سنتطرق في البداية لل primary immune deficiency ثم + +13 +00:01:01,030 --> 00:01:04,310 +سنتقل الى ال secondary immune deficiency جانا في + +14 +00:01:04,310 --> 00:01:08,130 +ال primary immune deficiency هي عبارة عن عوامل + +15 +00:01:08,130 --> 00:01:12,970 +أساسية لل immune response أو بالتالي نتحدث عن T + +16 +00:01:12,970 --> 00:01:17,410 +cell يعني cell mediated immunity و نتحدث عن B + +17 +00:01:17,410 --> 00:01:21,070 +cell يعني antibody mediated immunity نتحدث عن + +18 +00:01:21,070 --> 00:01:28,590 +both B and T cell immunity ثم Non-specific immunity + +19 +00:01:28,590 --> 00:01:36,490 +متمثلة بالفاجوسيتك سيل and or انكي سيل ثم ال + +20 +00:01:36,490 --> 00:01:42,490 +complement activation أيضا وطبعا كل هذه العوامل + +21 +00:01:42,490 --> 00:01:48,190 +مشتركة بتمثل ال category of primary immune + +22 +00:01:48,190 --> 00:01:52,070 +response سنتطرق الى كل عامل من هذه العوامل و نأخذ + +23 +00:01:52,070 --> 00:01:57,100 +أمثلة بداية ما كتش بتشك في وجود immunodeficiency + +24 +00:01:57,100 --> 00:02:05,380 +قالوا فيه عشر محاذير أساسية مظاهر أساسية for + +25 +00:02:05,380 --> 00:02:10,740 +immunodeficiency disease نمرا واحد six or more + +26 +00:02:10,740 --> 00:02:14,320 +infections per year يعني أكثر من ست مرات تحصل فيها + +27 +00:02:14,320 --> 00:02:17,820 +infection في السنة نمرا اتنين two or more severe + +28 +00:02:17,820 --> 00:02:22,360 +sinusitis per year نمرا تلاتة antibiotic treatment + +29 +00:02:22,360 --> 00:02:27,780 +lasting for two months or even longer بدون أي + +30 +00:02:27,780 --> 00:02:33,900 +visible effect نمرا أربعة two or more pneumonia + +31 +00:02:33,900 --> 00:02:39,800 +per year نمرا خمسة retardation of growth and + +32 +00:02:39,800 --> 00:02:44,920 +development of child نمرا ستة recurrent deep skin + +33 +00:02:44,920 --> 00:02:50,610 +or organ abscesses نمرة سبعة ميكوسيس مستمر في العمل + +34 +00:02:50,610 --> 00:02:52,630 +عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل + +35 +00:02:52,630 --> 00:02:56,110 +عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل + +36 +00:02:56,110 --> 00:02:57,110 +عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل + +37 +00:02:57,110 --> 00:02:57,130 +عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل + +38 +00:02:57,130 --> 00:02:57,530 +عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل + +39 +00:02:57,530 --> 00:02:57,610 +عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل + +40 +00:02:57,610 --> 00:03:01,590 +عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل عمل + +41 +00:03:01,590 --> 00:03:10,320 +عمل عمل عمل عمل عمل عمل نمرا تسعة two or more severe + +42 +00:03:10,320 --> 00:03:14,740 +infection زي encephalitis, osteitis, dermatitis, + +43 +00:03:14,860 --> 00:03:19,440 +myositis and sepsis نمرا عشرة family history + +44 +00:03:19,440 --> 00:03:27,680 +indicating primary immune deficiency طبعا في عندنا + +45 +00:03:27,680 --> 00:03:32,980 +جدول إن شاء الله سنتطرق إليه و يبين لنا + +46 +00:03:32,980 --> 00:03:37,090 +different types of infection على سبيل المثال كانت + +47 +00:03:37,090 --> 00:03:41,670 +بكتيريا القطاعتس ميديا و بكتيريا النومونيا غالبا + +48 +00:03:41,670 --> 00:03:44,470 +نراها في الناس اللي عندهم B cell and antibody + +49 +00:03:44,470 --> 00:03:49,970 +deficiency و هكذا جدول مصنف انها بالذات أمراض + +50 +00:03:49,970 --> 00:03:56,590 +كثيرة و غياب كل واحد شو بيعمل فأول واحد B cell أو + +51 +00:03:56,590 --> 00:04:01,420 +B lymphocyte deficiency which means deficiency in + +52 +00:04:01,420 --> 00:04:05,600 +antibody-mediated immunity فوق بيصير فيه recurrent + +53 +00:04:05,600 --> 00:04:08,260 +bacterial infection و تعتبر recurrent infection + +54 +00:04:08,260 --> 00:04:11,960 +و هكذا T cell deficiency يعني cell-mediated + +55 +00:04:11,960 --> 00:04:15,920 +immunity deficiency يزيد ال susceptibility to the + +56 +00:04:15,920 --> 00:04:19,460 +viral fungal protozoa و ال infection وهي مجموعة + +57 +00:04:19,460 --> 00:04:24,820 +كبيرة من عيش من الحالات المرضية كل واحد له عيش له + +58 +00:04:24,820 --> 00:04:27,080 +ال associated disease + +59 +00:04:29,920 --> 00:04:32,720 +تخيل اننا نبدأ نحكي عنها ال primary + +60 +00:04:32,720 --> 00:04:38,440 +immunodeficiency syndromes يعني باستثناء ال IGA + +61 +00:04:38,440 --> 00:04:42,260 +deficiency ال frequency of immunodeficiency is + +62 +00:04:42,260 --> 00:04:48,460 +very low حددوها واحد في كل عشر تلاف خمسين بالمئة + +63 +00:04:48,460 --> 00:04:53,520 +منهم associated with antibody deficiency عشرين + +64 +00:04:53,520 --> 00:04:59,350 +بالمئة منهم associated with combined deficiency بمعنى انه + +65 +00:04:59,350 --> 00:05:03,850 +فيه antibody و cell-mediated immunity 18% for + +66 +00:05:03,850 --> 00:05:07,590 +phagocystic disorders 10% for cell-mediated + +67 +00:05:07,590 --> 00:05:15,810 +immunity alone الفكرة القادمة P1.1 يبين ان كل ما + +68 +00:05:15,810 --> 00:05:20,830 +كان ال defect earlier كل ما كان ال genetic defect + +69 +00:05:20,830 --> 00:05:24,830 +أو ال block حدث + +70 +00:05:24,830 --> 00:05:30,330 +في دراعي اللى هو الجهاز المناعي كل ما كان earlier + +71 +00:05:30,330 --> 00:05:38,850 +كل ما كان ال effect more severe and diseaseable + +72 +00:05:38,850 --> 00:05:45,160 +شوفوا الفجر طبعا هذا figure اللي أنتم شايفين يبين + +73 +00:05:45,160 --> 00:05:51,460 +ان ال hemopoietic maturation steps for both T and + +74 +00:05:51,460 --> 00:05:58,400 +B lymphocytes ف I بي على سبيل المثال بدايتها + +75 +00:05:58,400 --> 00:06:04,050 +lymphoid stem cell ثم pre-cell ثم immature cell ثم + +76 +00:06:04,050 --> 00:06:07,970 +ال mature بيه lymphocytes اللي طبعا بعدها بتدينا + +77 +00:06:07,970 --> 00:06:12,430 +different types of antibody once اللي هو + +78 +00:06:12,430 --> 00:06:18,090 +maturation occur to plasma cell في كل مرحلة من + +79 +00:06:18,090 --> 00:06:23,570 +المراحل ممكن يحصل فيه defect و كل مرحلة من المراحل + +80 +00:06:23,570 --> 00:06:27,950 +associated with certain disease و كل ما كانت + +81 +00:06:27,950 --> 00:06:36,070 +المرحلة أو الخلل بدري كل ما كانش كل المراحل التي + +82 +00:06:36,070 --> 00:06:41,710 +تلي الخلل بدها تتعطل وبالتالي كل ما كان ال disease + +83 +00:06:41,710 --> 00:06:45,290 +more severe نفس الحكاية بالنسبة لل thymus أو ال + +84 +00:06:45,290 --> 00:06:49,750 +telephocytes هي بتيجي على ال thymus + +85 +00:06:52,580 --> 00:06:59,000 +بعد ذلك تظهر كـ mature CD4 أو CD8 T lymphocytes + +86 +00:06:59,000 --> 00:07:05,280 +وطبعا تشتغل ك immune + +87 +00:07:05,280 --> 00:07:10,600 +cell المهم انتبهوا إلى الأرقام الموجودة فشوفوا + +88 +00:07:10,600 --> 00:07:15,600 +قسموا المراحل هذه إلى أرقام مختلفة و كل مرحلة + +89 +00:07:15,600 --> 00:07:19,120 +associated زي ما قلتلكم or combined with a certain + +90 +00:07:19,120 --> 00:07:24,000 +disease فرق 1 على سبيل المثال هي يعني في بدري خالص + +91 +00:07:24,000 --> 00:07:27,120 +الخلل بيصير في severe compound immunodeficiency + +92 +00:07:27,120 --> 00:07:32,200 +syndrome رقم اتنين برضه بدري أداة بيصير في + +93 +00:07:32,200 --> 00:07:36,000 +congenital thymic aplasia وبرضه هذا عبارة عن دي + +94 +00:07:36,000 --> 00:07:40,020 +جارس سندروم يعني مافيش T lymphocytes بتتصنع أتول + +95 +00:07:40,020 --> 00:07:47,480 +رقم تلاتة أداة بيصير في skid ايضا رقم اربع في ال B + +96 +00:07:47,480 --> 00:07:51,610 +cell أداة قالوا بيصير في X-Linked E Gamma Global + +97 +00:07:51,610 --> 00:07:58,530 +Anemia مافيش ولا Antibody بيتكون رقم خمسة ماشي هذا + +98 +00:07:58,530 --> 00:08:03,570 +هو أنا رقم خمسة بيصير common variable immune + +99 +00:08:03,570 --> 00:08:09,670 +deficiency disease و هكذا كل الحالات اللي هو كل + +100 +00:08:09,670 --> 00:08:16,440 +المراحل associated with certain disease نبدأ بـ + +101 +00:08:16,440 --> 00:08:22,600 +Severe Combined Immunodeficiency Diseases وهي + +102 +00:08:22,600 --> 00:08:26,640 +عبارة عن هيتروجينس جروب of disease associated or + +103 +00:08:26,640 --> 00:08:29,700 +in which cell-mediated immunity and antibody لأنه + +104 +00:08:29,700 --> 00:08:35,060 +combined production are defected الاثنين معطلين + +105 +00:08:35,060 --> 00:08:38,960 +both humoral and cell-mediated immunity are + +106 +00:08:38,960 --> 00:08:44,940 +defected في الزمن هتسموها أو Swiss-type Aiga + +107 +00:08:44,940 --> 00:08:49,820 +Microbial Anemia و الناس هدول عادة susceptible to + +108 +00:08:49,820 --> 00:08:54,060 +virtually every type of microbial infection, viral + +109 +00:08:54,060 --> 00:08:59,040 +infection, bacterial infection, fungal, protozoal + +110 +00:08:59,040 --> 00:09:04,380 +and so on أشهر الحاجات اللي ملحوظة في هذا النوع من + +111 +00:09:04,380 --> 00:09:08,380 +الأمراض هو Infection of Cytomegalovirus, + +112 +00:09:08,980 --> 00:09:16,220 +Pneumocystitiscarny eye and candida طبعا الناس دول + +113 +00:09:16,220 --> 00:09:23,260 +ممنوع ياخدوا vaccine with attenuated lymph virus + +114 +00:09:23,260 --> 00:09:29,700 +لأنه it will lead to death patient have been + +115 +00:09:29,700 --> 00:09:32,260 +classified according to the following figure or + +116 +00:09:32,260 --> 00:09:40,020 +table جاء ودوا قسمهم ل T minus B plus T minus B + +117 +00:09:40,020 --> 00:09:45,920 +minus أنواع مختلفة سنتطرق لكل نوع من هذه الأنواع بس + +118 +00:09:45,920 --> 00:09:51,980 +يجب أن نفهم ان T minus يعني في غياب ل T cell بي + +119 +00:09:51,980 --> 00:09:57,500 +بلس يعني في normal بي cell و ممكن يكون في غياب + +120 +00:09:57,500 --> 00:10:02,280 +ل NK cell لما أقول T minus بي minus يعني لا بي + +121 +00:10:02,280 --> 00:10:08,780 +ولا T cell موجودة و لما أقول الاثنين plus معناته + +122 +00:10:08,780 --> 00:10:12,080 +الناس التانية هدول عندهم T cell و B cell لكن هم غير + +123 +00:10:12,080 --> 00:10:18,840 +شغالين مش شغالين T plus B minus it's very rare و + +124 +00:10:18,840 --> 00:10:23,960 +they preferred treatment طبعا لحالات من هالنوع انه + +125 +00:10:23,960 --> 00:10:28,460 +نعمل bone marrow transplantation from an HLA + +126 +00:10:28,460 --> 00:10:33,660 +matched sibling donor وده بقى وهذه الحالات أولًا + +127 +00:10:33,660 --> 00:10:38,340 +حالة هي T minus B plus اتفقنا على أنه هي ما فيهاش D + +128 +00:10:38,340 --> 00:10:42,000 +-cell وإنما ما فيه B-cell المرض هذا عبارة عن X + +129 +00:10:42,000 --> 00:10:49,920 +-linked skid بيمثل 40 ل 50% من الحالات اللي بنحكي + +130 +00:10:49,920 --> 00:10:54,000 +عنها ال mutation جاله موجود على ال X-chromosome + +131 +00:10:54,000 --> 00:10:58,980 +الجين اللي صار فيه mutation موجود على ال X + +132 +00:10:58,980 --> 00:11:05,180 +-chromosome which could for gamma chain ماشي + +133 +00:11:06,650 --> 00:11:12,870 +Gamma Chain Cytokine Receptor وطبعًا this Gamma + +134 +00:11:12,870 --> 00:11:17,230 +Chain تلعب دور كبير في الـ اللي هو Signal + +135 +00:11:17,230 --> 00:11:22,290 +Transduction لعدد كبير من ال Cytokine منها IL2, + +136 +00:11:22,390 --> 00:11:30,110 +IL4, IL7, IL9, IL15 وطبعا هذه معناته غيابها بيعمل + +137 +00:11:30,110 --> 00:11:36,930 +غياب لـ ال function for this cytokine وهذا فكرة + +138 +00:11:36,930 --> 00:11:42,830 +واضح جدا هي Receptor اللي هو عبارة عن إيش ligand + +139 +00:11:42,830 --> 00:11:49,870 +لكل ال Cytokine هذول ال ligand تعونوه لكل ال + +140 +00:11:49,870 --> 00:11:55,690 +Cytokine هذول فهي بتتكون من two chain واحدة منهم + +141 +00:11:55,690 --> 00:11:58,550 +بتلعب دور كبير في الـ + +142 +00:11:58,550 --> 00:12:03,010 +signal transduction وهي ال gamma chain gamma chain + +143 +00:12:03,010 --> 00:12:05,690 +وبالتالي غيابها يعني ما فيش signal transduction + +144 +00:12:05,690 --> 00:12:10,270 +وبالتالي ما فيش transcription for this gene ماشي + +145 +00:12:10,270 --> 00:12:16,330 +وبالتالي كل ال function لهذه ال Cytokine will be + +146 +00:12:16,330 --> 00:12:22,950 +missed المرض + +147 +00:12:22,950 --> 00:12:30,260 +التاني ال which يعني similar to this disease هو + +148 +00:12:30,260 --> 00:12:34,880 +غياب الجزء التاني من ال Receptor مش كـ بوليبيببتيد + +149 +00:12:34,880 --> 00:12:39,000 +شينو إنما كـ functioning process اللي هو غياب الـ JAK + +150 +00:12:39,000 --> 00:12:44,900 +يوم ما يصير فيه غياب للـ JAK طبعا ما يصيرش فيه تغير + +151 +00:12:44,900 --> 00:12:47,440 +في ال Gamma ومتما تغيرت بتاعة ال Signal + +152 +00:12:47,440 --> 00:12:52,190 +transduction غياب الـ JAK أيضا برضه بيعمل نفس الأعراض + +153 +00:12:52,190 --> 00:12:57,950 +وبالتالي بيصير فيه غياب للـ signal transduction هذا + +154 +00:12:57,950 --> 00:13:04,990 +X-linked والـ JAK deficiency هو عبارة عن اتزوم الـ + +155 +00:13:04,990 --> 00:13:12,290 +recessive disease أي + +156 +00:13:12,290 --> 00:13:15,670 +اتزوم الـ recessive قلنا غياب الـ JAK تلاتة هو + +157 +00:13:15,670 --> 00:13:21,290 +عبارة عن Tyrosine Kinase وطبعا غيابه بيعني ما فيش + +158 +00:13:21,290 --> 00:13:24,950 +signal transduction ووجدوا أن ال expression of + +159 +00:13:24,950 --> 00:13:28,530 +JAK موجود في كل الـ hemopoietic cells وبالتالي + +160 +00:13:28,530 --> 00:13:33,790 +ما يصيرش في maturation للخلايا + +161 +00:13:33,790 --> 00:13:40,310 +هذه النقطة التانية T minus B minus ومن الأمراض + +162 +00:13:40,310 --> 00:13:46,830 +المشاركة في هذا الـ group هو ال adenosine deaminase + +163 +00:13:46,830 --> 00:13:52,160 +deficiency وهذا عبارة عن إنزيم بيلعب دور كبير في + +164 +00:13:52,160 --> 00:13:59,660 +الـ Purine pathway يمثل 20% من حالات الـ Skid وهو + +165 +00:13:59,660 --> 00:14:05,260 +عبارة عن autosomal recessive disease وغيابه بيعني + +166 +00:14:05,260 --> 00:14:11,720 +accumulation of toxic wastes بيصير في build up في + +167 +00:14:11,720 --> 00:14:20,200 +build up ليش للـ toxic waste في الجسم طبعا it has + +168 +00:14:20,200 --> 00:14:24,340 +greatest impact of the immune على الجهاز المناعي + +169 +00:14:24,340 --> 00:14:29,880 +بيؤدي لـ failure أو both T and B cell development بعد + +170 +00:14:29,880 --> 00:14:32,260 +تانى اللي هو purely nucleotide phosphorylase + +171 +00:14:32,260 --> 00:14:33,020 +deficiency + +172 +00:14:35,470 --> 00:14:39,610 +هذا سيؤدي أيضًا إلى بناء تجارب من أجهزة مخاطرة + +173 +00:14:39,610 --> 00:14:47,910 +خصوصًا هذه الأجهزة المخاطرة بإمكانها تدمر نظام + +174 +00:14:47,910 --> 00:14:52,930 +الهيمولوجي وبيأثر + +175 +00:14:52,930 --> 00:14:57,570 +أيضًا على الـ T-cell وبالتالي كل الـ lymphocytes + +176 +00:14:57,570 --> 00:15:03,470 +مدفنين نوع تاني اللي هو Recombinase deficiency + +177 +00:15:04,630 --> 00:15:09,150 +أيضًا الـ Recombinase Deficiency نعرف أنه في + +178 +00:15:09,150 --> 00:15:13,610 +الجينات المسؤولة اللي هي RAG 1 و RAG 2 هما two + +179 +00:15:13,610 --> 00:15:16,750 +important genes موجودين في الـ lymphocytes only + +180 +00:15:16,750 --> 00:15:21,710 +وبيلعبوا دور كبير في الـ rearrangement of both + +181 +00:15:21,710 --> 00:15:28,950 +immunoglobulin gene and TCR gene وبالتالي غيابهم + +182 +00:15:29,520 --> 00:15:34,520 +بيؤدي إلى خلل في الـ gene rearrangement وبالتالي + +183 +00:15:34,520 --> 00:15:38,600 +الـ mutation بتؤثر إلى complete absence تعمل + +184 +00:15:38,600 --> 00:15:43,440 +complete absence للـ T و B lymphocytes وبالتالي + +185 +00:15:43,440 --> 00:15:44,540 +ما فيش immunoglobulins + +186 +00:15:50,790 --> 00:15:56,210 +وبالتالي ما فيش match or لأ تي ولا بي لأن الـ + +187 +00:15:56,210 --> 00:16:04,670 +function is intact تي بلس بي ما عدا إذا بيقولوا + +188 +00:16:06,040 --> 00:16:10,740 +وقالوا إن أشارها الـ Omen Syndrome والـ Omen + +189 +00:16:10,740 --> 00:16:17,280 +Syndrome أيضًا هو عبارة عن خلل بيصير فيه reduction + +190 +00:16:17,280 --> 00:16:21,420 +في الـ or partial complete or partial reduction of + +191 +00:16:21,420 --> 00:16:27,900 +the RAG genes وبالتالي بيصير فيه خلل في الـ RAG + +192 +00:16:27,900 --> 00:16:32,760 +activity الـ clinical presentation زي وزي الـ graft + +193 +00:16:32,760 --> 00:16:39,350 +versus host disease والناس دولة تدفع هذه التحكمات + +194 +00:16:39,350 --> 00:16:44,390 +للنظام المناعي وهم لديهم جسد كبير جي تي + +195 +00:16:44,390 --> 00:16:51,550 +infiltration من زينوفيل وactivated T cell تدفعنا الـ + +196 +00:16:51,550 --> 00:16:57,290 +hyper immunoglobulin production of cytokine وهذا بيقدر الـ hyper IgE + +197 +00:16:57,290 --> 00:17:00,730 +syndrome و Job syndrome + +198 +00:17:03,450 --> 00:17:08,590 +الخلاصة مرضى من هذا النوع بيحتاج الى pre + +199 +00:17:08,590 --> 00:17:14,430 +-treatment with immunosuppressive drug الـ + +200 +00:17:14,430 --> 00:17:21,550 +T plus B plus subgroup كل التنتين موجودين لكن they + +201 +00:17:21,550 --> 00:17:24,870 +are not functioning أشهر هذه الأمراض الـ bare + +202 +00:17:24,870 --> 00:17:30,040 +lymphocyte syndrome ده هو بيؤدي الى results from + +203 +00:17:30,040 --> 00:17:34,920 +the failure to express HLA molecule والسبب في ذلك + +204 +00:17:34,920 --> 00:17:37,960 +طبعا ما فيش HLA molecule يعني ما فيش antigen + +205 +00:17:37,960 --> 00:17:45,220 +presentation بواسطة طبعا اللي هو HLA class 2 + +206 +00:17:45,220 --> 00:17:48,680 +molecule deficiency في الغالب class 1 ممكن يكون + +207 +00:17:48,680 --> 00:17:54,470 +متأثر وممكن لـ circulating T and B cell may be + +208 +00:17:54,470 --> 00:18:00,110 +normal لكن في غياب الـ HLA class 2 molecule ما + +209 +00:18:00,110 --> 00:18:07,180 +بيحصل فيه antigen presentation لـ CD4 T cell الـ ZAP + +210 +00:18:07,180 --> 00:18:12,080 +-70 mutation هي عبارة عن كيميكال + +211 +00:18:12,080 --> 00:18:19,620 +ميسنجر بيعمل نقل للإشارة بمنخد + +212 +00:18:19,620 --> 00:18:21,700 +TCR للنوكلياس وهو نقل للإشارة بمنخد TCR للنوكلياس + +213 +00:18:21,700 --> 00:18:24,800 +وهو نقل للإشارة بمنخد TCR للنوكلياس وهو نقل + +214 +00:18:24,800 --> 00:18:27,880 +للإشارة + +215 +00:18:27,880 --> 00:18:31,840 +بمنخد TCR للنوكلياس شوفوا هذه العلاقة ما أحلاها + +216 +00:18:31,840 --> 00:18:37,580 +نعرف أنه في عندنا antigen presenting cell ماشي + +217 +00:18:37,580 --> 00:18:43,160 +بتقدم اللي هو + +218 +00:18:43,160 --> 00:18:47,400 +antigen + +219 +00:18:47,400 --> 00:18:56,040 +الـ antigen لـ T-lymphocyte وطبعًا سواء كانت الـ + +220 +00:18:56,040 --> 00:19:01,140 +Antigen Presenting Cell Macrophage أو B Cell تنتهي + +221 +00:19:01,140 --> 00:19:05,660 +بقدم الانتيجن لمن؟ لـ T-Lymphocyte شوفوا احتمالات + +222 +00:19:05,660 --> 00:19:09,340 +الخلل كيف بتصير قبل احتمال يصير فيه خلل في الـ + +223 +00:19:09,340 --> 00:19:13,220 +MHC Class II بيعمل مرض يسمونه Bare Lymphocyte + +224 +00:19:13,220 --> 00:19:16,740 +Syndrome حاجة نقال متوم احتمال الخلل يكون في الـ + +225 +00:19:16,740 --> 00:19:20,860 +FAS أو الـ FAS ligand و هيعمل FAS Deficiency + +226 +00:19:20,860 --> 00:19:27,110 +Syndrome واحتمال الخلل يكون في CD40 ligand و CD40 + +227 +00:19:27,110 --> 00:19:30,590 +ligand موجود على الـ T cell بيعمل حاجة بيسموها + +228 +00:19:30,590 --> 00:19:37,990 +Hyper IgM Syndrome أثر + +229 +00:19:37,990 --> 00:19:43,150 +Multi System Disorders بالإضافة للـ SCID في SCID + +230 +00:19:43,150 --> 00:19:48,190 +like clinical picture associated with certain + +231 +00:19:48,190 --> 00:19:52,000 +disease زي Wiskott-Aldrich Syndrome وده اسمه + +232 +00:19:52,000 --> 00:19:56,940 +syndrome عبارة عن X-linked disease بيتمثل بالقاتل + +233 +00:19:56,940 --> 00:20:00,860 +رقم واحد في bleeding لأنه فيه thrombocytopenia + +234 +00:20:00,860 --> 00:20:04,340 +رقم اثنين في recurrent bacterial infection في + +235 +00:20:04,340 --> 00:20:12,200 +allergic reaction في long term patient ممكن يجلب لـ + +236 +00:20:12,200 --> 00:20:18,680 +malignant disease والـ genetic basis يعني + +237 +00:20:18,680 --> 00:20:24,580 +mutation في الـ X-linked gene اللي بيؤدي الى a + +238 +00:20:24,580 --> 00:20:29,940 +which code for ويسكوت ألدريخ سندروم بروتين وهذا + +239 +00:20:29,940 --> 00:20:35,400 +موجود في كل الـ hemopoietic stem cells both T and + +240 +00:20:35,400 --> 00:20:38,220 +B cell are functionally non-abnormal + +241 +00:20:40,700 --> 00:20:47,340 +وبالتالي لا يمكن للشخص أن يتفاعل بـ Polysaccharide + +242 +00:20:47,340 --> 00:20:51,640 +Antigen التعامل في هذه الحالة يحتاج إلى Antibiotic + +243 +00:20:51,640 --> 00:20:57,600 +و Antiviral و Bone marrow transplantation وبدون هذا + +244 +00:20:57,600 --> 00:21:02,260 +العلاج الـ life expectancy لا تتعدى تلت سنوات + +245 +00:21:02,260 --> 00:21:09,180 +أتاكسيا تلانجيكتازيا من القصير برضه مرضى system + +246 +00:21:09,180 --> 00:21:14,320 +genetic disorders بيتمثل بالقاتل بيصير فيه jerky + +247 +00:21:14,320 --> 00:21:19,480 +movement or lack of muscle coordination ونمر اثنين + +248 +00:21:19,480 --> 00:21:24,170 +abnormal vascular dilatation تلانجيكتازية في الـ eye + +249 +00:21:24,170 --> 00:21:28,570 +والـ skin و بزيادة ال susceptibility to infection + +250 +00:21:28,570 --> 00:21:34,870 +بيصير لنفومة والـ defect في الـ both B و T cell + +251 +00:21:34,870 --> 00:21:40,270 +ال gene طبعا of ataxia telangiectasia codes for a + +252 +00:21:40,270 --> 00:21:46,490 +protein known as ATM. الأطفال have a risk for + +253 +00:21:46,490 --> 00:21:51,870 +developing malignancy خصوصا ال lymphoid neoplasm + +254 +00:21:55,810 --> 00:22:01,390 +الـ category الثاني هو ال immune deficiency + +255 +00:22:01,390 --> 00:22:04,030 +disorder associated with T cell and cell-mediated + +256 +00:22:04,030 --> 00:22:08,510 +immunity. قالوا الناس هدولة مش عندهم T cell + +257 +00:22:08,510 --> 00:22:12,790 +associated deficiency disease. إنّه اتفقنا على أن ال + +258 +00:22:12,790 --> 00:22:19,090 +T cell deficiency ماهيش associated with اللي هو + +259 +00:22:19,090 --> 00:22:21,810 +disease زي ال viral, fungal, protozoal infection + +260 +00:22:23,590 --> 00:22:26,890 +وكلنا بنعرف إن الـ T-Lymphocyte بتساعد الـ B + +261 +00:22:26,890 --> 00:22:30,730 +-Lymphocyte في إنتاج الـ antibody, which antibody + +262 +00:22:30,730 --> 00:22:36,430 +would form T cell dependent antigen. وغياب or T + +263 +00:22:36,430 --> 00:22:40,810 +cell associated deficiency هيعمل selective defect + +264 +00:22:40,810 --> 00:22:46,170 +in antibody production. وبالتالي T cell deficient + +265 +00:22:46,170 --> 00:22:51,430 +patient have difficulty to distinguish, have + +266 +00:22:51,430 --> 00:22:55,850 +difficulty to distinguish clinically to be + +267 +00:22:55,850 --> 00:23:00,270 +distinguished clinically from a septic patient. ما + +268 +00:23:00,270 --> 00:23:05,450 +زال ال B و ال T مش موجودة يبقى كمان ال B مش راح + +269 +00:23:05,450 --> 00:23:09,350 +تشتغل. Congenital + +270 +00:23:09,350 --> 00:23:13,890 +Thymic Aplasia اللي هو ديجورج سندروم. قلنا هذا في + +271 +00:23:13,890 --> 00:23:20,950 +مراحل مبكرة جدا بصير إذا فاكرين في رقم اتنين في الـ + +272 +00:23:20,950 --> 00:23:26,110 +T cell hemopoietic maturation steps. المهم دي جورج + +273 +00:23:26,110 --> 00:23:31,070 +سندروم بيعني انه فيه T cell deficiency و in which + +274 +00:23:31,070 --> 00:23:34,770 +the cells must develop abnormally. مافيش ايش مافيش + +275 +00:23:34,770 --> 00:23:38,950 +development. يبقى مافي إنتاج ل T lymphocyte. no T + +276 +00:23:38,950 --> 00:23:46,310 +cell و نقول إن الخلل ناتج عن defective migration + +277 +00:23:46,310 --> 00:23:51,420 +of fetal neural crest cells. الثالثة والتالتة + +278 +00:23:51,420 --> 00:23:58,280 +مصطلحات الفرنجيال. وبالتالي المريض الهارد والفيس + +279 +00:23:58,280 --> 00:24:05,480 +يتطور بشكل طبيعي وبرضه الثايمس والبراثيرويد لا يتم + +280 +00:24:05,480 --> 00:24:08,820 +تكوينها. هذا يؤدي إلى ثايمك أبليجيا + +281 +00:24:08,820 --> 00:24:14,640 +وhypoparathyroidism. ثايمك + +282 +00:24:14,640 --> 00:24:18,940 +أبليجيا ينتهي في مفاجأة مدرسة مدرسة مدرسة مدرسة + +283 +00:24:19,890 --> 00:24:24,170 +DiGeorge's syndrome هو مش hereditary disease وانما + +284 +00:24:24,170 --> 00:24:31,990 +بيصير فيه Sporadic deficiency in chromosome 22q11 + +285 +00:24:31,990 --> 00:24:36,990 +or deletion. طبعا هدول المرضى بيصير في عندهم + +286 +00:24:36,990 --> 00:24:40,350 +recurrent or chronic infection with viruses + +287 +00:24:40,350 --> 00:24:47,810 +بكتيريا فنجاى بروتوزوا. و الناس هدول عندهم قياب لل + +288 +00:24:47,810 --> 00:24:54,090 +T cell.أيضًا فشلت تجري على تجارب الانتباه هذه + +289 +00:24:54,090 --> 00:24:56,730 +الأشخاص لا يجب أن يكونوا مميزين بواسطة مواجهة + +290 +00:24:56,730 --> 00:24:58,610 +مواجهة مواجهة مواجهة مواجهة مواجهة مواجهة مواجهة + +291 +00:24:58,610 --> 00:25:02,910 +مواجهة مواجهة مواجهة + +292 +00:25:03,160 --> 00:25:06,740 +with normal peripheral T cell number. يعني فيه + +293 +00:25:06,740 --> 00:25:12,140 +normal T lymphocyte لكن في نفس الوقت فشي فشي + +294 +00:25:12,140 --> 00:25:17,960 +function. ادى functional defect فى T cell ايضا + +295 +00:25:17,960 --> 00:25:22,260 +opportunistic infection and high incidence of + +296 +00:25:22,260 --> 00:25:27,140 +autoimmune disease. ملاحظات it's autosomal + +297 +00:25:27,140 --> 00:25:32,200 +recessive pattern. وطبعا هو عبارة عن heterogeneous + +298 +00:25:32,200 --> 00:25:38,880 +group.أيضا يشمل غياب لل ZAP-17 tyrosine kinase. CD3E + +299 +00:25:38,880 --> 00:25:45,860 +وCD3G. هو هذه الموليكيول المتعلقة بالإشعار T-cell + +300 +00:25:45,860 --> 00:25:55,840 +وبالتالي مافيش فانكشن. Autoimmune + +301 +00:25:55,840 --> 00:26:01,920 +lymphoproliferative disease. اوأيضاً إنها تسمى بـ + +302 +00:26:01,920 --> 00:26:06,300 +Inherited by Massive Proliferation of Lymphoid + +303 +00:26:06,300 --> 00:26:08,980 +Tissue. وبدأت + +304 +00:26:08,980 --> 00:26:27,160 +يتطططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططططط + +305 +00:26:32,150 --> 00:26:35,050 +عامل الـ autoimmune lymphoproliferative الشخصية أو + +306 +00:26:35,050 --> 00:26:43,170 +الشخصية السينامية لديها ميوتيشن في الـ FAS gene + +307 +00:26:43,170 --> 00:26:51,870 +يتعامل مع الـ FAS protein CD95. يتعامل مع الـ + +308 +00:26:51,870 --> 00:27:00,350 +Apoptosis signaling. لديهم واحد طبيعي وواحد ميوتيت + +309 +00:27:00,350 --> 00:27:07,140 +FAS molecule. هذا بيؤدي or that mutated phase + +310 +00:27:07,140 --> 00:27:11,140 +molecule interferes with the function of normal + +311 +00:27:11,140 --> 00:27:15,780 +molecule. طبعا ال mutated هو اللي بيتدخل في ال + +312 +00:27:15,780 --> 00:27:20,420 +function of normal molecule. These patients have + +313 +00:27:20,420 --> 00:27:25,840 +defect in other component of apoptosis pathway. زي + +314 +00:27:25,840 --> 00:27:29,120 +ال Fas ligand or caspase 10 + +315 +00:27:31,670 --> 00:27:37,270 +Chronic Mucocutaneous Candidiasis. بيه من الاسم + +316 +00:27:37,270 --> 00:27:42,250 +Candidiasis يعني فيه Candida infection of skin and + +317 +00:27:42,250 --> 00:27:47,830 +mucous membrane. غالبا المرضى have normal T cell + +318 +00:27:47,830 --> 00:27:52,070 +mediated immunity to microorganism other than + +319 +00:27:52,070 --> 00:27:56,810 +Candida and normal B cell mediated immunity to all + +320 +00:27:56,810 --> 00:28:04,190 +microorganism بما فيها ال Candida. يعني الخلل في + +321 +00:28:04,190 --> 00:28:09,210 +ايه؟ في ال T-lymphocyte which can respond to all + +322 +00:28:09,210 --> 00:28:12,930 +the micro part مع ال Canada. بينما ال B-lymphocyte + +323 +00:28:12,930 --> 00:28:17,350 +is normal. They have selective defect in the + +324 +00:28:17,350 --> 00:28:20,210 +function of T cell. + +325 +00:28:23,500 --> 00:28:28,520 +التاني هو ال BCR immunoglobulin associated + +326 +00:28:28,520 --> 00:28:33,400 +immunodeficiency. وأشهر + +327 +00:28:33,400 --> 00:28:36,980 +مثال على ذلك بروتون اي جاما غلوبيلانينيا. وهو عبارة + +328 +00:28:36,980 --> 00:28:42,340 +عن X-linked infantile اي جاما غلوبيلانينيا. الأطفال + +329 +00:28:42,340 --> 00:28:48,260 +من Infanta الأطفال present with serious, repeated + +330 +00:28:48,260 --> 00:28:52,390 +infection. وسبب في ذلك is severe depression or + +331 +00:28:52,390 --> 00:28:56,710 +virtual absence of all immunoglobulin. نحنا بنحكي + +332 +00:28:56,710 --> 00:29:00,890 +عليها بروتينز. يعني مافيش بي سل مافيش ايش بي + +333 +00:29:00,890 --> 00:29:06,650 +lymphocyte. معناته مافيش antibody production. طبعا + +334 +00:29:06,650 --> 00:29:11,250 +ال major defect وجدوه انه في عدم قدرة البيت انها + +335 +00:29:11,250 --> 00:29:19,290 +تتطور to be mature as B cell. بروتين جين + +336 +00:29:20,990 --> 00:29:28,470 +تم تغييره بطريقة X مرتبطة. هذه + +337 +00:29:28,470 --> 00:29:33,710 +الجيوانات تدعى tyrosine kinase enzyme موجود في + +338 +00:29:33,710 --> 00:29:39,150 +الـCytosol. XLA + +339 +00:29:39,150 --> 00:29:44,810 +تم تحيطه لعقل عقلي المتوسط المتوسط + +340 +00:29:44,810 --> 00:29:46,210 +الموجود في الـCytoplasmic + +341 +00:29:49,190 --> 00:29:53,930 +Patients suffer repeated infection. Treatment طبعا + +342 +00:29:53,930 --> 00:29:57,490 +Periodic injection of intravenous gamma globulin + +343 +00:29:57,490 --> 00:30:04,670 +بيحتوي على IgG. Transient + +344 +00:30:04,670 --> 00:30:10,990 +Hypo Gamma Globulinemia. اسم Transient في عمر خمسة + +345 +00:30:10,990 --> 00:30:16,940 +لست شهور. بيصير فيه Passively transferred from + +346 +00:30:16,940 --> 00:30:26,980 +maternal to fetus of IgG antibody. وطبعا + +347 +00:30:26,980 --> 00:30:36,140 +في هذه الحالة بيبدأ ال IGG بيبدأ يظهر + +348 +00:30:36,140 --> 00:30:44,810 +اللي هو ال infant IgG. premature infant ممكن يصير + +349 +00:30:44,810 --> 00:30:49,570 +عنده Transient IgG Deficiency if they are not yet + +350 +00:30:49,570 --> 00:30:55,050 +able to synthesize immunoglobulin. Sometimes helper + +351 +00:30:55,050 --> 00:30:59,630 +T cells are deficient. يعني بيصير فيه غياب في ال T + +352 +00:30:59,630 --> 00:31:04,030 +lymphocyte help وبالتالي مافيش Antibody production + +353 +00:31:04,030 --> 00:31:08,070 +أو B cell functioning. يعني مافيش شيء. This disease + +354 +00:31:08,070 --> 00:31:10,310 +may persist for a few months. و + +355 +00:31:12,600 --> 00:31:17,900 +بالكتير لغاية سنتين. It's not X-linked and should + +356 +00:31:17,900 --> 00:31:24,240 +be distinguished from X-linked disease. خلال وجود + +357 +00:31:24,240 --> 00:31:29,460 +ال normal number of B cells. Immunization should + +358 +00:31:29,460 --> 00:31:33,800 +not be given during this period. Common variable + +359 +00:31:33,800 --> 00:31:38,120 +immunodeficiency. من الإسم it's characterized by + +360 +00:31:38,120 --> 00:31:39,280 +غياب + +361 +00:31:43,570 --> 00:31:51,510 +ماشي or reduction in the serum IgG و IgA و بيكون في + +362 +00:31:51,510 --> 00:31:57,890 +عنده IgM normal or low و طبعا في normal or low + +363 +00:31:57,890 --> 00:32:03,950 +number of B cell. ال B cell fails to mature + +364 +00:32:03,950 --> 00:32:09,650 +into plasma cell.والمرضى have recurrent respiratory + +365 +00:32:09,650 --> 00:32:13,550 +and gastrointestinal infection. Treatment by + +366 +00:32:13,550 --> 00:32:22,850 +intravenous immunoglobulin. Selective + +367 +00:32:22,850 --> 00:32:29,160 +immunoglobulin deficiency. الـ IgA-Deficiency غالبا + +368 +00:32:29,160 --> 00:32:31,860 +مرضى بس يكون عندهم recurrent viral or bacterial + +369 +00:32:31,860 --> 00:32:35,300 +infection, celiac disease, defective absorption + +370 +00:32:35,300 --> 00:32:39,060 +and repeal اللي هو عبارة عن الـ celiac or maybe + +371 +00:32:39,060 --> 00:32:43,720 +entirely asymptomatic. Treatment بده pro-the + +372 +00:32:43,720 --> 00:32:47,360 +spectrum antibiotic. IgM-Deficiency, rare + +373 +00:32:47,360 --> 00:32:52,300 +disorder. وطبعا المرضى بيعانوا من recurrent and + +374 +00:32:52,300 --> 00:32:54,740 +severe infection with polysaccharide antigen + +375 +00:32:54,740 --> 00:32:59,840 +-encapsulated organism. زي pneumonia أو pneumococci + +376 +00:32:59,840 --> 00:33:05,040 +and hemophilus inflammation ال disorders of T and + +377 +00:33:05,040 --> 00:33:11,780 +B interaction زي ال-hyper IgM syndrome وهو عبارة عن + +378 +00:33:11,780 --> 00:33:18,150 +X-linked hyper IgM syndrome Present with + +379 +00:33:18,150 --> 00:33:22,530 +recurrent respiratory infection من أول سنة إلى + +380 +00:33:22,530 --> 00:33:27,670 +سنتين من العمر ميتيشن موجودة في CD40-ligand gene + +381 +00:33:27,670 --> 00:33:32,010 +الموجود على الـ X chromosome اللي يبقى بيؤدي إلى + +382 +00:33:32,010 --> 00:33:37,890 +CD40-ligand وبالتالي في الشيء + +383 +00:33:40,910 --> 00:33:45,050 +سيجنال ترانزدكشن يعني مافيش فانكشن للـ CD40 ليجاند + +384 +00:33:45,050 --> 00:33:50,390 +برت مع CD40 موجود على سطح الـ B lymphocytes وطبعا this + +385 +00:33:50,390 --> 00:33:57,810 +interaction rescues the B cell from apoptosis X + +386 +00:33:57,810 --> 00:34:00,990 +-linked lymphoproliferative disease Duncan + +387 +00:34:00,990 --> 00:34:08,070 +syndrome وهذه بيصير فيها عدم قدرة عند الـ T cell to + +388 +00:34:08,070 --> 00:34:13,700 +regulate B cell growth وهو بيعتبر major part of the + +389 +00:34:13,700 --> 00:34:19,820 +underlying disease + +390 +00:34:19,820 --> 00:34:24,220 +يعني this mechanism deficiency هو الأساس في + +391 +00:34:24,220 --> 00:34:29,730 +الموضوع lymphoma incidence is high وانتقل للـ + +392 +00:34:29,730 --> 00:34:35,090 +phagocytic function فقط + +393 +00:34:35,090 --> 00:34:40,930 +للتذكير الـ phagocytic function يعني إذا كان فيه خلل في + +394 +00:34:40,930 --> 00:34:48,910 +خطوات الـ phagocytosis فقط للتذكير phagocytosis خطوات + +395 +00:34:48,910 --> 00:34:54,620 +الـ phagocytosis هي الـ Adhesion ثم الـ Diapedesis ثم الـ + +396 +00:34:54,620 --> 00:35:00,340 +chemotaxis ثم الـ Phagocytosis ثم الـ Killing و + +397 +00:35:00,340 --> 00:35:07,080 +التالي في غياب في كل مرحلة من المراحل هذه يؤدي لها + +398 +00:35:07,080 --> 00:35:11,280 +كل مرحلة is combined or is associated with certain + +399 +00:35:11,280 --> 00:35:18,460 +disease ماشي إذا صار فيه برضه خلل مضري معناته كل + +400 +00:35:18,460 --> 00:35:22,550 +المراحل اللي قد تليها واقفة وإذا كان الخلل حدث + +401 +00:35:22,550 --> 00:35:27,990 +مثلًا مثلًا في الـ LAD مثلًا مثلًا مثلًا مثلًا مثلًا + +402 +00:35:27,990 --> 00:35:29,070 +مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا + +403 +00:35:29,070 --> 00:35:32,470 +مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا + +404 +00:35:32,470 --> 00:35:33,030 +مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا + +405 +00:35:33,030 --> 00:35:37,450 +مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا مثلًا + +406 +00:35:37,450 --> 00:35:43,450 +مثلًا مثلًا مثلًا مثلًا + +407 +00:35:44,920 --> 00:35:49,480 +LAD هو برنامج group of disorders بيتميز بأنه بيصير + +408 +00:35:49,480 --> 00:35:52,560 +فيه خلل في الـ interaction ما بين الـ leukocyte مع + +409 +00:35:52,560 --> 00:36:00,660 +الـ vascular endothelial cells وطبعا هاي المراحل + +410 +00:36:00,660 --> 00:36:04,700 +طبعا جالوا فيه أكثر من مرحلة للـ LAD disease و + +411 +00:36:04,700 --> 00:36:09,240 +قسموها لثلاث مراحل LAD 1, LAD 2, LAD 3 وزي ما + +412 +00:36:09,240 --> 00:36:13,400 +انتوا شايفين في LAD 1 بيصير فيه خلل في الـ diapedesis + +413 +00:36:15,830 --> 00:36:20,730 +في الـ LAD 2 بيصير فيه خلل في الـ adhesion في الـ LAD + +414 +00:36:20,730 --> 00:36:23,330 +3 بيصير فيه خلل في الـ activation اللي هي + +415 +00:36:23,330 --> 00:36:27,450 +الـ Phagocytosis بيصير فيها خلل ماشي اليوم بيصير فيه + +416 +00:36:27,450 --> 00:36:33,290 +خلل في واحد اللي هي الـ adhesion أول واحدة بيصير + +417 +00:36:33,290 --> 00:36:38,130 +فيه خلل في كل هذه المراحل ماشي فاليوم بيصير فيه + +418 +00:36:38,130 --> 00:36:41,270 +خلل في أخر واحدة اللي هي الـ activation طبعا بيحصل + +419 +00:36:41,270 --> 00:36:51,110 +فيه أمراض زي الـ Chediak Higashi Syndrome و الـ CDD هاي + +420 +00:36:51,110 --> 00:36:53,510 +اللي هاد واحد حضر عن الـ autosomal recessive + +421 +00:36:53,510 --> 00:36:58,870 +disease مرتبطة بالكروموزوم رقم 22 المرضى عندهم الـ + +422 +00:36:58,870 --> 00:37:03,690 +effect إن هتكون subunits of integrin molecule وهذا + +423 +00:37:03,690 --> 00:37:09,210 +بيؤدي إلى اللي هو إنه adhesion to feel adhesion + +424 +00:37:09,210 --> 00:37:12,740 +and migration of all white blood cells in the body + +425 +00:37:14,860 --> 00:37:18,980 +في الأدوية المرضى بيحصل عندهم recurrent soft tissue + +426 +00:37:18,980 --> 00:37:22,760 +bacterial infection ويزيد الوقت blood cell count + +427 +00:37:22,760 --> 00:37:27,540 +لكن بدون pus formation يعني مافيش activity ومافيش + +428 +00:37:27,540 --> 00:37:31,060 +كل الأخمات اللي ورا الـ adhesion أو الـ effecting + +429 +00:37:31,060 --> 00:37:35,140 +wound healing lymphocyte function is also affected + +430 +00:37:35,140 --> 00:37:39,500 +due to the lack of lymphocyte functioning antigen + +431 +00:37:39,500 --> 00:37:44,860 +presentation الـ LAD 2 قلنا بيصير فيه defect in + +432 +00:37:44,860 --> 00:37:50,180 +selecting الـ ligand والـ underlying defect اللي + +433 +00:37:50,180 --> 00:37:54,400 +هو LAD 2 بيصير + +434 +00:37:54,400 --> 00:37:58,700 +فيه أيضًا خلل في الـ leukocyte function و ده بيؤدي + +435 +00:37:58,700 --> 00:38:03,140 +إلى غياب الـ leukocyte ligand for selecting to be + +436 +00:38:03,140 --> 00:38:08,560 +bind وده مثل أو صورة حلوة لهذا الموضوع الـ LAD واحد + +437 +00:38:08,560 --> 00:38:18,290 +في الشيء هي عبارة عن antigen ماشي LAD اتنين عبارة عن + +438 +00:38:18,290 --> 00:38:24,270 +rolling Selected تكون غير رقم تلاتة اللي هو الـ + +439 +00:38:24,270 --> 00:38:31,110 +activation is defected طبعا هذا كله في LAD واحد بس + +440 +00:38:31,110 --> 00:38:36,070 +فيه خلل في الارتباط والـ transmigration اللي هو + +441 +00:38:45,690 --> 00:38:52,590 +الـ integrins او الـ organelles بيصير + +442 +00:38:52,590 --> 00:38:57,750 +في عندها قلة في الـ interest of the organism و this + +443 +00:38:57,750 --> 00:39:00,470 +results in + +444 +00:39:02,700 --> 00:39:11,060 +phagosome formation + +445 +00:39:11,060 --> 00:39:11,740 +phagosome formation + +446 +00:39:11,740 --> 00:39:17,280 +phagosome formation + +447 +00:39:17,280 --> 00:39:22,200 +phagosome formation + +448 +00:39:23,380 --> 00:39:26,020 +مخلوق كبير من المخلوق + +449 +00:39:26,020 --> 00:39:27,180 +المخلوق + +450 +00:39:27,180 --> 00:39:30,020 +المخلوق + +451 +00:39:30,020 --> 00:39:31,620 +المخلوق + +452 +00:39:31,620 --> 00:39:33,240 +المخلوق + +453 +00:39:33,240 --> 00:39:38,680 +المخلوق + +454 +00:39:38,680 --> 00:39:40,940 +المخلوق + +455 +00:39:40,940 --> 00:39:46,160 +المخلوق + +456 +00:39:48,980 --> 00:39:53,040 +وبالتالي بيحصل فيه عملية Phagocytosis لكن مافيه + +457 +00:39:53,040 --> 00:39:57,600 +killing وبيحصل فيه intracellular survival + +458 +00:39:57,600 --> 00:40:03,060 +فالorganism بيؤدي إلى granuloma formation Mutation + +459 +00:40:03,060 --> 00:40:06,380 +وجدوها في الـ enzymes which catalyzes the + +460 +00:40:06,380 --> 00:40:10,800 +respiratory burst وبيحصل + +461 +00:40:10,800 --> 00:40:17,120 +فيه قلة في الـ intracellular killing محصلة أو غياب + +462 +00:40:19,320 --> 00:40:22,700 +وبنلاحظ هذه الحالات في أول شهر أو أول سنتين من + +463 +00:40:22,700 --> 00:40:31,400 +العمر بيصير عنده recurrent infection حتى أضعف الـ + +464 +00:40:31,400 --> 00:40:35,660 +microbes مرة + +465 +00:40:35,660 --> 00:40:40,720 +آخر interferon gamma receptor deficiency بيصير فيه + +466 +00:40:40,720 --> 00:40:43,900 +mutation في الـ interferon عائلة أخرى من عائلات الـ + +467 +00:40:43,900 --> 00:40:48,030 +receptor بيؤدي إلى inability of a monocyte to + +468 +00:40:48,030 --> 00:40:53,450 +respond to Gamma Interferon وبالتالي + +469 +00:40:53,450 --> 00:40:56,430 +في الـ secretion of the tumor necrosis factor Alpha + +470 +00:40:56,430 --> 00:41:01,850 +الـ patients are susceptible to weakly pathogenic + +471 +00:41:01,850 --> 00:41:03,290 +mycobacteria + +472 +00:41:06,330 --> 00:41:10,090 +هو الـ Natural Killer Cell Deficiency اللي نعرفه + +473 +00:41:10,090 --> 00:41:15,130 +بيأثر على الـ NK cell بيؤدي إلى الـ Impaired + +474 +00:41:15,130 --> 00:41:19,090 +Allograft Rejection مافيش شيء الـ Impairment + +475 +00:41:19,090 --> 00:41:24,930 +Rejection And is linked to higher susceptibility + +476 +00:41:24,930 --> 00:41:29,170 +to viral disease وبيصير فيه metastasis from tumor + +477 +00:41:31,140 --> 00:41:36,500 +الـ NK cells seen in Skid some T and phagocytic + +478 +00:41:36,500 --> 00:41:40,540 +cell disorder and in X-linked lymphoproliferative + +479 +00:41:40,540 --> 00:41:47,360 +syndrome الاوراق + +480 +00:41:47,360 --> 00:41:56,880 +اللي بتتعلق بالـ complement يعني الـ ..الـ + +481 +00:41:56,880 --> 00:42:00,180 +complement component الاولانية مهمة جدا for + +482 +00:42:00,180 --> 00:42:07,300 +opsonization زي C3P غالبا deficiency of complement is + +483 +00:42:07,300 --> 00:42:14,700 +associated with SLE disease وهي الـ complement + +484 +00:42:14,700 --> 00:42:22,740 +بتشتغل بميكانزم classical و alternative طبعا + +485 +00:42:22,740 --> 00:42:32,270 +زي ما انتوا شايفين اللي هو سواء كان alternative او + +486 +00:42:32,270 --> 00:42:38,110 +lectin pathway او even classical غيابها بيدي لـ diseases + +487 +00:42:38,110 --> 00:42:42,330 +مختلفة ففي البداية infections with + +488 +00:42:42,330 --> 00:42:46,630 +encapsulated microorganism بقدم شوية rheumatoid + +489 +00:42:46,630 --> 00:42:51,190 +disease واسئلة ايه تحت اذا كان في الماك او الـ + +490 +00:42:51,190 --> 00:42:56,830 +membrane attack complex بيصير فيه Neisseria gonorrhoeae او + +491 +00:42:56,830 --> 00:43:03,260 +Neisseria meningitidis أي مريض بـ Deficiency of C1,4,2 اللي + +492 +00:43:03,260 --> 00:43:07,160 +هو البدايات من الـ Classical Pathway او C3 + +493 +00:43:07,160 --> 00:43:11,100 +Deficiency نفسها بيصير فيه زيادة في الـ Infection + +494 +00:43:11,100 --> 00:43:14,180 +أو الـ Encapsulated Microorganism حسب الجدول اللي + +495 +00:43:14,180 --> 00:43:18,080 +شفناه طوي زي Streptococcus pneumoniae و الـ Haemophilus + +496 +00:43:18,080 --> 00:43:24,720 +و الانفلونزا و أزمة روماتيزمية بسبب تنظيف غير صحيح + +497 +00:43:24,720 --> 00:43:25,480 +للمعاملات المناعية + +498 +00:43:29,040 --> 00:43:33,640 +الـ Deficiency of the mannose binding lectin + +499 +00:43:33,640 --> 00:43:38,100 +بيؤدي الى طبعا الموجود على الـ surface of microbe + +500 +00:43:38,100 --> 00:43:45,040 +with or without antibody and activate the + +501 +00:43:45,040 --> 00:43:50,240 +classical pathwayأيضًا بيؤدي غيابه إلى risk of + +502 +00:43:50,240 --> 00:43:56,380 +infection and SLE-like symptoms. غياب C3 associated + +503 +00:43:56,380 --> 00:44:04,700 +with symptoms خصوصًا الـ complications تبعتها غياب + +504 +00:44:04,700 --> 00:44:08,480 +الـ lead complement component في الآخر يعني الـ MAC + +505 +00:44:08,480 --> 00:44:14,160 +زي C56789 اللي بيكونوا الـ MAC اللي هو membrane + +506 +00:44:14,160 --> 00:44:21,270 +attack complex. It's directly related to the primary + +507 +00:44:21,270 --> 00:44:27,010 +defect against gram-negative bacteria خصوصًا + +508 +00:44:27,010 --> 00:44:30,450 +نيسيريا. Defective + +509 +00:44:30,450 --> 00:44:34,010 +control of the complement component. يعني حتى الـ + +510 +00:44:34,010 --> 00:44:37,930 +control إذا صار فيه deficiency زي الـ hereditary + +511 +00:44:37,930 --> 00:44:43,850 +angioedema. مشهورة كتير غياب C1 esterase inhibitor + +512 +00:44:45,150 --> 00:44:51,370 +بيدى الى اللى هو الـ hereditary angioedema طبعا + +513 +00:44:51,370 --> 00:44:54,590 +كمية كبيرة من الـ vasoactive peptide. patient + +514 +00:44:54,590 --> 00:44:59,370 +suffering from localized edema. و it's life + +515 +00:44:59,370 --> 00:45:03,850 +threatening when it occurs in the larynx. اه طبعا + +516 +00:45:03,850 --> 00:45:07,230 +بيصير فيه اش edema في الـ larynx و التانى بيصير فيه + +517 +00:45:07,230 --> 00:45:12,730 +obstruction للـ airway pathway. treatment + +518 +00:45:12,730 --> 00:45:19,410 +غالبا avoid trauma and infusion of C1 esterase + +519 +00:45:19,410 --> 00:45:25,350 +inhibitor. الجليكوزين الفسفة دي الـ enacetol protein + +520 +00:45:25,350 --> 00:45:33,270 +deficiency. نعرف ان هذا بلعب دور كبير في الـ as + +521 +00:45:33,270 --> 00:45:35,670 +anchored protein. + +522 +00:45:37,690 --> 00:45:44,190 +هذا عبارة عن عائلة من البروتينات والجليكوزيه + +523 +00:45:44,190 --> 00:45:48,530 +الفوسفات ديال الناسيتوه الانكولات is expressed على + +524 +00:45:48,530 --> 00:45:51,110 +الـ membrane of RBCs, lymphocyte, granulocyte + +525 +00:45:51,110 --> 00:45:54,590 +endothelial cell and epithelial cell. معظم الخلايا + +526 +00:45:55,790 --> 00:45:58,450 +طبعا DC protein هم عبارة عن البروتينات حماية + +527 +00:45:58,450 --> 00:46:02,930 +للخلايا من الـ complement activity وبالتالي غيابهم + +528 +00:46:02,930 --> 00:46:12,770 +يؤدي إلى غياب الـ destruction of cell. طبعا + +529 +00:46:12,770 --> 00:46:20,730 +كل الخلايا تتأثر في هذا الموضوع وبالتالي the أيضا + +530 +00:46:22,580 --> 00:46:26,300 +بيصير فيه hemolysis for all these cells. طبعا أشهر + +531 +00:46:26,300 --> 00:46:29,800 +هذه للغاية اللي هو الـ PNH. في الـ PNH طبعا الـ + +532 +00:46:29,800 --> 00:46:33,760 +patient بيصير فيه غياب للـ enzyme required for + +533 +00:46:33,760 --> 00:46:39,840 +production of GBI اللي هو وبالتالي مافيش GBI عنكم + +534 +00:46:39,840 --> 00:46:43,680 +الـ protein وبالتالي مافيش بروتينات حماية عشان هيك + +535 +00:46:43,680 --> 00:46:50,200 +بزيد الـ susceptibility to hemolysis في الـ Chronic + +536 +00:46:50,200 --> 00:46:53,580 +course of P.N.H. Intravascular Hemolysis or CARE + +537 +00:46:53,580 --> 00:46:59,060 +طبعا في الكدنى وهذا بيقدى الى اللى هوا activation + +538 +00:46:59,060 --> 00:47:03,700 +of complement. يعنى فى degeneration للتشو أو damage + +539 +00:47:03,700 --> 00:47:08,740 +للتشو ونتوقف + +540 +00:47:08,740 --> 00:47:12,520 +هنا لنستكمل + +541 +00:47:12,520 --> 00:47:14,220 +فى مرحلة قادمة ان شاء الله diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/Ao2FUlFon80.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/Ao2FUlFon80.srt new file mode 100644 index 0000000000000000000000000000000000000000..371297c275b361d6f795ef789ee489a9a62f657e --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/Ao2FUlFon80.srt @@ -0,0 +1,2819 @@ +1 +00:00:04,280 --> 00:00:08,880 +بسم الله الرحمن الرحيم سنتكلم + +2 +00:00:08,880 --> 00:00:11,320 +اليوم إن شاء الله في المحاضرة الرقم أربعة عن ال + +3 +00:00:11,320 --> 00:00:17,020 +antibody structure and function ودعونا نستذكر سويا + +4 +00:00:17,020 --> 00:00:22,900 +يعني هذه المعلومات لأن أنا بعرف أن عندكم خلفية عن + +5 +00:00:22,900 --> 00:00:29,720 +هذا الموضوع ودعونا نبدأ إن شاء الله وأتمنى أن تكون + +6 +00:00:29,720 --> 00:00:34,420 +في معلومات جيدة وجديدة لكم. المهم اللي أقوله بشكل + +7 +00:00:34,420 --> 00:00:40,180 +عام هو عبارة عن antibody بيوجد على شكلين في + +8 +00:00:40,180 --> 00:00:45,840 +الجسم إما secreted form وإما membrane bound. ال + +9 +00:00:45,840 --> 00:00:52,980 +membrane bound هو عبارة عن ال antibody اللي موجودة + +10 +00:00:52,980 --> 00:00:57,560 +على سطح الـ B cell في الـ B cell وغالبا هذا بيشتغل ك + +11 +00:00:57,560 --> 00:01:02,740 +antigen receptor بينما البلازما هي اللي بتفرز إنّها + +12 +00:01:02,740 --> 00:01:10,080 +secreted form of antibody. الـ membrane bound غالبا + +13 +00:01:10,080 --> 00:01:14,760 +associated with يعني cognate molecule. الـ hetero + +14 +00:01:14,760 --> 00:01:17,620 +dimer molecule بيسموه الـ immunoglobulin alpha beta + +15 +00:01:17,620 --> 00:01:28,840 +وهذا هو مع الـ antibody يشكل بيس الـ receptor. دول الـ + +16 +00:01:28,840 --> 00:01:32,480 +immunoglobulin alpha beta هو الـ Intracellular + +17 +00:01:32,480 --> 00:01:37,000 +Signaling Mechanism associated with B lymphocytes. + +18 +00:01:37,000 --> 00:01:41,720 +الـ Antibody كنا بنعرف أنه له Specificity وهي له + +19 +00:01:41,720 --> 00:01:46,920 +biological activity. biological activity بتتمثل + +20 +00:01:46,920 --> 00:01:52,400 +بالآتي: أنه it can neutralize the toxin, immobilize + +21 +00:01:52,400 --> 00:01:56,260 +the microorganism, neutralization of viral + +22 +00:01:56,260 --> 00:02:00,860 +infectivity, agglutination of microorganism, + +23 +00:02:01,870 --> 00:02:05,350 +precipitation of soluble antigens. هذه كلها طبعا + +24 +00:02:05,350 --> 00:02:10,710 +الوظائف المفهومة, activation of serum complement + +25 +00:02:10,710 --> 00:02:15,890 +لأنه بينشط الـ complement to facilitate lysis of + +26 +00:02:15,890 --> 00:02:20,070 +microorganism. حصلت lysis of microorganism + +27 +00:02:20,070 --> 00:02:23,630 +ability to cross the placenta. في بعضها بيعمل + +28 +00:02:23,630 --> 00:02:27,970 +crossing للـ placenta و from mother to the fetus. + +29 +00:02:30,790 --> 00:02:33,730 +الاختلاف في الـ biological activity وفي الـ + +30 +00:02:33,730 --> 00:02:38,410 +antibody هي + +31 +00:02:38,410 --> 00:02:43,590 +اللي بتساهم أو بتشكلنا الـ isotypic class structure. + +32 +00:02:43,590 --> 00:02:52,250 +isotypic class structure. و الـ antibody molecule ما + +33 +00:02:52,250 --> 00:02:56,250 +بيتركز في الجامة global fraction اللي لو عملنا + +34 +00:02:56,250 --> 00:03:04,420 +protein electrophoresis هنلاقي إنه أدوى الـ + +35 +00:03:04,420 --> 00:03:08,780 +Electrophoresis اللي بيتمثل بالآتي. هذا طبعا + +36 +00:03:08,780 --> 00:03:13,820 +abnormal protein Electrophoresis لـ myeloma patient. + +37 +00:03:13,820 --> 00:03:18,300 +لكن عشان نعرف بس الأوضاع هذا الـ albumin إنه في كمان + +38 +00:03:18,300 --> 00:03:27,300 +واحدة هنا pre albumin spike ثم Alpha Globulin و + +39 +00:03:27,300 --> 00:03:33,150 +Alpha 2 Globulin, بيتا جلوبيلين، و جاما جلوبيلين. في + +40 +00:03:33,150 --> 00:03:38,350 +الجاما جلوبيلين هو اللي موجود بيشكلنا الـ antibody + +41 +00:03:38,350 --> 00:03:41,370 +الـ + +42 +00:03:41,370 --> 00:03:47,990 +structure mainly زي ما أنتم شايفين بيمر + +43 +00:03:47,990 --> 00:03:57,130 +في مرحلتين: مرحلة الـ pre B cell receptor يعني الـ + +44 +00:03:57,130 --> 00:04:04,490 +precursor يعني الجبل ما يتكون الـ PCR. و الـ PCR طبعا + +45 +00:04:04,490 --> 00:04:10,710 +في الـ Pre-B هو اللي غالبا بتكون الـ الـ الـ heavy + +46 +00:04:10,710 --> 00:04:17,890 +Chain هي عمرها الـ Mu Chain. و الـ بعد هيك الـ heavy + +47 +00:04:17,890 --> 00:04:23,150 +Chain ممكن تتبدل و تصير Mu أو Delta أو Gamma أو + +48 +00:04:23,150 --> 00:04:29,270 +Alpha أو Epsilon في حالة الـ PCR. و Structurally طبعا في + +49 +00:04:29,270 --> 00:04:33,190 +مصطلح إن شاء الله هنتطرق إليه قدام اللي هو الـ + +50 +00:04:33,190 --> 00:04:37,810 +immunoreceptor tyrosine based activation motif + +51 +00:04:37,810 --> 00:04:43,610 +اللي إن شاء الله هنتطرق إليه. زي ما أنتم شايفين الـ + +52 +00:04:43,610 --> 00:04:51,490 +structure ده في الـ pre-b ده هو بيتكون من light + +53 +00:04:51,490 --> 00:04:54,610 +chain و من heavy chain connected to each other by + +54 +00:04:54,610 --> 00:04:59,500 +disulfide bond. و Light Chain ممكنة على سبيل + +55 +00:04:59,500 --> 00:05:03,080 +المثال إنّها نوع Kappa لأن سنشاهد إنّها ممكن تكون + +56 +00:05:03,080 --> 00:05:06,540 +كابا أو Delta. و Light Chain هذا زي ما أنتم شايفين + +57 +00:05:06,540 --> 00:05:13,200 +هي عبارة عن Mu Chain جنب الـ structure هذا. و هدف + +58 +00:05:13,200 --> 00:05:16,560 +الفيجر هذا إنه يوريكوا الـ Immunoglobulin Alpha + +59 +00:05:16,560 --> 00:05:21,140 +Immunoglobulin Beta. موليكيول هذا هو جنبه. و هذا هو + +60 +00:05:21,140 --> 00:05:26,200 +مغروز في داخل إنه Intracytoplasmic Domain أو + +61 +00:05:26,200 --> 00:05:33,640 +Membrane أو Domain. و هذا الـ Intracytoplasmic + +62 +00:05:33,640 --> 00:05:37,640 +portion هو المسؤول عن Cell Signaling. الموليكيول + +63 +00:05:37,640 --> 00:05:41,420 +طبعا كما تشوفون هنا في عندنا Antigen Binding + +64 +00:05:41,420 --> 00:05:45,420 +وعندنا هنيجي على Structure بشيء من التفصيل. + +65 +00:05:45,420 --> 00:05:48,840 +Structure + +66 +00:05:48,840 --> 00:05:54,790 +of light and heavy chain. ده هما طبعا الـ structure of + +67 +00:05:54,790 --> 00:05:59,570 +light أو الـ heavy chain. هذي light chain وهذه heavy + +68 +00:05:59,570 --> 00:06:02,770 +chain connected to each other by disulfide bond. هي + +69 +00:06:02,770 --> 00:06:06,830 +disulfide bond. شوفوا كانت الـ light مع الـ heavy أو + +70 +00:06:06,830 --> 00:06:10,670 +الـ heavy مع الـ heavy في disulfide bond موجودة. كيف + +71 +00:06:10,670 --> 00:06:17,370 +تعرف عن الـ structure of. بالتالي استخدموا تقاطع + +72 +00:06:17,370 --> 00:06:23,590 +الموليكيول الـ antibody مقاوم للـ proteolysis. + +73 +00:06:25,020 --> 00:06:29,180 +بإمكانية تقطيعه بواسطة two enzymes. واحد اسمه + +74 +00:06:29,180 --> 00:06:32,900 +papain. واحد اسمه pepsin. الـ papain بيقطع الـ + +75 +00:06:32,900 --> 00:06:38,720 +antibody لثلاثة أجزاء. اثنين Fab fragment واحدة Fc بينما + +76 +00:06:38,720 --> 00:06:44,320 +الـ pepsin زي ما أنتم شايفين بيقطع الـ fragment الـ + +77 +00:06:44,320 --> 00:06:48,200 +antibody immunoglobulin لثلاثين جزء كبير اللي هو + +78 +00:06:48,200 --> 00:06:56,910 +عبارة عن two Fab مع بعض. و Fc prime بيسموها أو Fc sub + +79 +00:06:56,910 --> 00:07:03,690 +fragment. كمية قليلة من الـ Fc portion structure + +80 +00:07:03,690 --> 00:07:10,470 +هذا بشكل عام لأن هنجد إن شاء الله لفة فصيلته هي الـ + +81 +00:07:10,470 --> 00:07:13,370 +heavy chain. أربعة polypeptide لتكون أربعة + +82 +00:07:13,370 --> 00:07:20,450 +polypeptide chain. اثنين heavy هذا هما اثنين light + +83 +00:07:20,450 --> 00:07:25,090 +هذه light و هذه light. they are connected to each + +84 +00:07:25,090 --> 00:07:29,550 +other by what؟ by disulfide bond. في إنّها نوعين من + +85 +00:07:29,550 --> 00:07:34,390 +الـ disulfide في intra disulfide bond و ده هي زي ما + +86 +00:07:34,390 --> 00:07:40,090 +أنتم شايفين. و في inter disulfide bond اللي بتتربط + +87 +00:07:40,090 --> 00:07:45,790 +الـ two of each ين مع بعض. الـ + +88 +00:07:47,790 --> 00:07:50,750 +Properties of the chain. الـ Light تتكون من الـ + +89 +00:07:50,750 --> 00:07:57,970 +two domains VL و CL. Light برمجولها بقى Light. الـ + +90 +00:07:57,970 --> 00:08:01,930 +Light برمجولها بقى L وهي تتكون من الـ two domains + +91 +00:08:01,930 --> 00:08:06,590 +واحد variable واحد constant. بينما الـ Heavy تتكون + +92 +00:08:06,590 --> 00:08:13,170 +من أكثر من domain. واحد منهم variable بيسموه VH + +93 +00:08:13,630 --> 00:08:19,430 +والباقي constant. ففي عندنا CH واحد و CH اثنين و CH + +94 +00:08:19,430 --> 00:08:29,270 +ثلاثة. عند الـ .. الـ .. الـ heavy chain are + +95 +00:08:29,270 --> 00:08:40,310 +connected يعني by region بيسموها hinge region. و إن + +96 +00:08:40,310 --> 00:08:44,080 +شاء الله هنتطرق لوظيفتها الآن. اللي أريد أن تشاهدوا + +97 +00:08:44,080 --> 00:08:49,080 +الآن أن الـ VH والـ LH يكونوا antigen binding + +98 +00:08:49,080 --> 00:08:55,080 +sites والباقي يكون الـ Fc portion في الـ biological + +99 +00:08:55,080 --> 00:08:56,060 +activity. + +100 +00:09:01,850 --> 00:09:06,650 +ماشي. اتفقنا أن الـ papain ده هو قسمه إلى two FAB + +101 +00:09:06,650 --> 00:09:13,250 +Fab زائد Fab زائد Fc. و الـ Fab fragment كان بياند + +102 +00:09:13,250 --> 00:09:19,770 +antigen عادي جدا لكنها ما بتعمل precipitation لأنها + +103 +00:09:19,770 --> 00:09:25,110 +univalent. ماشي. و الـ Fc portion اتفقنا إنّها هي + +104 +00:09:25,110 --> 00:09:30,070 +المسؤولة عن الـ biological activity. لو عملنا الـ + +105 +00:09:30,070 --> 00:09:35,770 +antibody بالـ mercaptoethanol. الـ mercaptoethanol + +106 +00:09:35,770 --> 00:09:43,010 +هيقطع الـ disulfide bond ويدينا four chain زي ما اتفقنا + +107 +00:09:43,010 --> 00:09:48,730 +two light و two heavy. الـ antibody بيتكون من أربع + +108 +00:09:48,730 --> 00:09:52,870 +polypeptide بتاعي two light و two heavy. و طبعا they are + +109 +00:09:52,870 --> 00:09:56,650 +linked to each other by disulfide bond اللي كمان + +110 +00:09:56,650 --> 00:10:00,710 +قلنا أن الـ pepsin digest the immunoglobulin + +111 +00:10:03,940 --> 00:10:10,060 +والمحصلة Divalent Fragment اسمها Fab الكل 2 تتكون + +112 +00:10:10,060 --> 00:10:14,660 +من Two Fab region مرتبطين مع بعض By Disulfide Bond + +113 +00:10:14,660 --> 00:10:20,240 +in addition to the Fc Subfragment اللي هي عبارة عن + +114 +00:10:20,240 --> 00:10:25,440 +أقل من Fragment. وطبعا برمجولها في بعض الكتب بالـ + +115 +00:10:25,440 --> 00:10:30,140 +Fc Prime. Other molecule belonging to the + +116 +00:10:30,140 --> 00:10:31,820 +immunoglobulin superfamily. + +117 +00:10:35,070 --> 00:10:38,790 +Sharing with the immunoglobulin structure. واحنا + +118 +00:10:38,790 --> 00:10:44,390 +هنتطرق إن شاء الله عاديهم. الـ light chain غالبا + +119 +00:10:44,390 --> 00:10:49,830 +بتكون يا إما كابا يا إما لامدا. وحسب الـ structure + +120 +00:10:49,830 --> 00:10:53,610 +of heavy chain. يعني الـ heavy chain هي مسئولة عن + +121 +00:10:53,610 --> 00:10:58,290 +تكوين الـ isotypes أو الـ classes of immunoglobulin. + +122 +00:10:59,690 --> 00:11:08,550 +ونجد أن الـ heavy chain تختلف من واحد للتاني باختلاف + +123 +00:11:08,550 --> 00:11:13,510 +الـ antigen وتحتوي على مواصلة الكربوهيدرات ومركزها + +124 +00:11:13,510 --> 00:11:19,250 +بشكل عام كربوهيدرات في منطقة الـ heavy chain وتختلف أيضا + +125 +00:11:19,250 --> 00:11:28,810 +في صميمها ما بينها. وايضا هناك اختلافات in + +126 +00:11:28,810 --> 00:11:36,590 +biological function on each isotype لأن أي one + +127 +00:11:36,590 --> 00:11:43,210 +antibody molecule في عندنا الـ heavy chain which are + +128 +00:11:43,210 --> 00:11:48,210 +identical فعلى سبيل المثال في الـ immunoglobulin + +129 +00:11:48,210 --> 00:11:55,230 +class في عندنا الـ structure بيكون Kappa 2 Gamma 2 + +130 +00:11:55,230 --> 00:12:01,510 +وLambda 2 Gamma 2 two identical light chains and + +131 +00:12:01,510 --> 00:12:06,290 +two identical heavy chains بعض الـ Immunoglobulin + +132 +00:12:06,290 --> 00:12:11,670 +subclasses زي الـ IgG الـ subclasses + +133 +00:12:11,670 --> 00:12:18,330 +و IgG الـ أربع subclasses سموهم immunoglobulin 1 + +134 +00:12:18,330 --> 00:12:25,430 +IgG 1 و 2 و 3 و 4 أيضا الـ immunoglobulin A الـ two + +135 +00:12:25,430 --> 00:12:31,540 +subclasses IgA و Ig2 بعض المدارس التي تختلف عن + +136 +00:12:31,540 --> 00:12:38,380 +المدارس هي أنها تختلف في رقمها ومجموعة الـ Inter + +137 +00:12:38,380 --> 00:12:43,180 +-Chain Disulfide Bond وبعض الاختلافات في الـ + +138 +00:12:43,180 --> 00:12:49,500 +Structure الـ Light Chain بتحتوي على 2 Domain + +139 +00:12:49,500 --> 00:12:53,040 +Globular Domain وHeavy Chain بتحتوي على 4 أو 5 + +140 +00:12:53,040 --> 00:12:54,260 +Domains + +141 +00:13:00,310 --> 00:13:05,190 +هيبتشين يتحكم عليها من خلال قطع قطع قطع قطع قطع + +142 +00:13:05,190 --> 00:13:05,670 +قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع + +143 +00:13:05,670 --> 00:13:06,350 +قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع + +144 +00:13:06,350 --> 00:13:06,810 +قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع + +145 +00:13:06,810 --> 00:13:07,090 +قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع + +146 +00:13:07,090 --> 00:13:08,110 +قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع قطع + +147 +00:13:21,380 --> 00:13:24,980 +اللي هو domain في الـ heavy وفي الـ light is highly + +148 +00:13:24,980 --> 00:13:29,820 +variable في تركيبه من ناحية amino acid sequence + +149 +00:13:29,820 --> 00:13:35,940 +ويختلف from one antibody to the next ونرمز لهم + +150 +00:13:35,940 --> 00:13:43,500 +VL يعني variable light أو VH يعني variable heavy + +151 +00:13:43,500 --> 00:13:50,120 +the second and subsequent domains في الـ Heavy وفي + +152 +00:13:50,120 --> 00:13:55,260 +الـ Light Chain هما مستمرين ونرمز + +153 +00:13:55,260 --> 00:13:58,920 +لهم CL, CH1, CH2, CH3 + +154 +00:13:58,920 --> 00:14:04,320 +و CH1 و CH1 و CH1 و CH1 و CH1 و CH1 و CH1 و + +155 +00:14:04,320 --> 00:14:06,500 +CH1 و CH1 و CH1 و CH1 و CH1 و CH1 و CH1 و + +156 +00:14:06,500 --> 00:14:07,700 +CH1 و CH1 و CH1 و CH1 و CH1 و CH1 و CH1 و + +157 +00:14:07,700 --> 00:14:18,670 +CH1 و CH1 و CH1 و by hydrophobic interaction as + +158 +00:14:18,670 --> 00:14:26,850 +follows فبنلاحظ أنه في عندنا VH LH يعني V heavy مع + +159 +00:14:26,850 --> 00:14:33,650 +light heavy و CH1 مع الـ constant تبع الـ light + +160 +00:14:33,650 --> 00:14:37,170 +ثم بتبدأ الـ constant بتاعة الـ heavy بترتبط مع بعض + +161 +00:14:37,170 --> 00:14:42,390 +constant CH2 مع constant CH2 و constant CH3 مع + +162 +00:14:42,390 --> 00:14:44,290 +constant CH3 + +163 +00:14:48,990 --> 00:14:52,530 +الـ Hinge region زي ما اتفقنا هي عبارة عن منطقة + +164 +00:14:52,530 --> 00:14:57,610 +unfolded نسموها region composed of short segments + +165 +00:14:57,610 --> 00:15:04,690 +of amino acids غالبا هي التي تفصل ما بين CH1 و CH2 + +166 +00:15:04,690 --> 00:15:12,850 +region ومليانة بالـ cysteine and proline residues و + +167 +00:15:12,850 --> 00:15:16,170 +الـ cysteine هو المسؤول عن الـ formation of + +168 +00:15:16,170 --> 00:15:22,630 +interchain disulfide bond والـ proline residues بيمنع + +169 +00:15:22,630 --> 00:15:32,530 +اللي هو التفاف الـ structure of heavy chain in + +170 +00:15:32,530 --> 00:15:39,030 +globular form بيبقى الموجود بنفس النمط أيضا من + +171 +00:15:39,030 --> 00:15:46,270 +صفاتها أنها بتكسب الـ antibody flexibility وخصوصا + +172 +00:15:47,060 --> 00:15:50,740 +في الـ Fab region فبالتالي بتتحرك freely الـ Fab + +173 +00:15:50,740 --> 00:15:55,900 +region in the Y-shape وهذا بيمكنها بيمكن الـ antibody + +174 +00:15:55,900 --> 00:16:04,300 +أنها تفتح و تسكر ليتكيفوا حسب الارتباط مع two + +175 +00:16:04,300 --> 00:16:10,500 +Epitopes موجودين على سطح Antigen إن كانوا بعد ال + +176 +00:16:10,500 --> 00:16:16,210 +two Epitopes أو إجبار الـ Fab region بتفتح و + +177 +00:16:16,210 --> 00:16:21,930 +بتسكر عشان تمسك لي في هدول التنتين Variable Region + +178 +00:16:21,930 --> 00:16:25,050 +حالة + +179 +00:16:25,050 --> 00:16:26,870 +بدنا نحكي عن الـ Variable Region في الـ light and + +180 +00:16:26,870 --> 00:16:31,830 +heavy chain جالها بتتكون من 110 amino acids و + +181 +00:16:31,830 --> 00:16:36,690 +بتحتوي على three regions نسميهم Hypervariable + +182 +00:16:36,690 --> 00:16:42,070 +Regions و الـ Hypervariable Regions هي المسؤولة عن ال + +183 +00:16:42,070 --> 00:16:43,030 +antigen binding + +184 +00:16:45,950 --> 00:16:50,630 +بتكون حاجة نسميها complementary structure to the + +185 +00:16:50,630 --> 00:16:55,210 +antigen epitope يعني مكمل ما احنا عارفين أن ال + +186 +00:16:55,210 --> 00:16:58,210 +antigen antibody reaction هو برهنته الـ lock and key + +187 +00:16:58,210 --> 00:17:02,350 +theory يبقى واحد بده يكون قفل والتاني مفتاح فيه + +188 +00:17:02,350 --> 00:17:06,530 +complementary structure لازم يتكون عشان واحد يرتبط + +189 +00:17:06,530 --> 00:17:11,010 +في التاني these hypervariable regions are termed + +190 +00:17:11,010 --> 00:17:15,710 +complementary determining regions ونرمز لهم CDR1 و + +191 +00:17:15,710 --> 00:17:22,710 +CDR2 و CDR3 و الـ two-dimensional model of the + +192 +00:17:22,710 --> 00:17:28,310 +peptide chain are brought together in the folded + +193 +00:17:28,310 --> 00:17:33,310 +form of the intact antibody molecule التنتين مع + +194 +00:17:33,310 --> 00:17:36,590 +بعض بيكونوا ال binding sites اللي احنا بنحكي + +195 +00:17:36,590 --> 00:17:40,050 +عليها which is complementary تلعبتهليس two + +196 +00:17:40,050 --> 00:17:42,750 +-dimensional يعني واحدة من الـ heavy واحدة من ال + +197 +00:17:42,750 --> 00:17:47,670 +light التنتين مع بعض بكونوا اللي هو folded together + +198 +00:17:47,670 --> 00:17:53,970 +to form the complementary portion of to the epitope + +199 +00:17:53,970 --> 00:17:57,390 +variability + +200 +00:17:57,390 --> 00:18:02,330 +of these CDRs provide diversity هي اللي بتوصف بت .. + +201 +00:18:02,330 --> 00:18:08,020 +بت .. بتأكد أن أو بت ..بتبين لنا أو بتكون لنا + +202 +00:18:08,020 --> 00:18:13,320 +الاختلافات المختلفة في الشكل between antibody + +203 +00:18:13,320 --> 00:18:21,100 +والاختلافات هذه مطلوبة عشان ترتبط بمختلف أنواع ال + +204 +00:18:21,100 --> 00:18:25,380 +antigen اللي موجودة وبالتالي هي من تشكل + +205 +00:18:25,380 --> 00:18:30,740 +specificity of antibody لكلهم + +206 +00:18:31,300 --> 00:18:34,860 +كل الروابط ليوم يرتبط الـ Antigen مع الـ Antibody + +207 +00:18:34,860 --> 00:18:38,920 +اتفقنا على أنه في روابط هتصير واحدة بتكمل التانية + +208 +00:18:38,920 --> 00:18:42,360 +لكن هذه الروابط هي عبارة عن weak لأنها كلها non + +209 +00:18:42,360 --> 00:18:47,900 +-covalent interactions وهذه + +210 +00:18:47,900 --> 00:18:51,900 +من القاعدة المهمة النقطة هذه اللي جاية أنه من + +211 +00:18:51,900 --> 00:18:56,090 +الممكن أن two antibodies مع الـ two different يعني + +212 +00:18:56,090 --> 00:18:59,610 +لهم two different Anti-Amino Acid Sequences يكونوا + +213 +00:18:59,610 --> 00:19:03,830 +specific to the same Epitope طب شو اللي بيصير في + +214 +00:19:03,830 --> 00:19:08,070 +هذه الحالة؟ جالها مرتبطين بنفس الـ Antigen لكن ال + +215 +00:19:08,070 --> 00:19:12,010 +affinity of binding تختلف بينهم الـ affinity of + +216 +00:19:12,010 --> 00:19:21,070 +binding تختلف بينهم كمان + +217 +00:19:21,070 --> 00:19:26,590 +قاعدة زي ما أنتم شايفينها antibody واحد هو نفسه + +218 +00:19:26,590 --> 00:19:29,590 +الـ antibody واحد بيرتبط بـ antigen واحد و antigen + +219 +00:19:29,590 --> 00:19:37,290 +اتنين ماشي وطبعا هذا زي ما قلنا الارتباط ممكن + +220 +00:19:37,290 --> 00:19:46,170 +يكون في sharing of epitope لكن الـ affinity + +221 +00:19:46,170 --> 00:19:47,610 +of binding is different + +222 +00:19:52,180 --> 00:19:56,640 +الـ CDR 1 و 2 و 3 اللي هو أخذ جزء من .. عملوا + +223 +00:19:56,640 --> 00:20:04,440 +تحليل بالـ HPLC ووجدوا أنه ال .. كل ما طلعنا لبرا + +224 +00:20:04,440 --> 00:20:09,420 +بالـ FAB في منطقة الـ Fab region كل ما ازدادت ال + +225 +00:20:09,420 --> 00:20:13,450 +hyper variability كل ما زادت الـ variability of the + +226 +00:20:13,450 --> 00:20:17,270 +molecule فـ CDR3 الـ variability فيها أكثر حاجة + +227 +00:20:17,270 --> 00:20:23,410 +يليه اثنين أقلها واحد أقلها واحد عشان ايه كل ما + +228 +00:20:23,410 --> 00:20:30,790 +طلعنا لبرا كل ما زادت الـ specificity of the + +229 +00:20:30,790 --> 00:20:35,390 +molecule cross + +230 +00:20:35,390 --> 00:20:37,830 +reacting compounds share antigenic determinants + +231 +00:20:37,830 --> 00:20:42,820 +طبيعي جدا لازم يكون فيه إذا صار فيه cross reaction + +232 +00:20:42,820 --> 00:20:48,480 +معناته في sharing في الـ Epitopes ماشي some cross + +233 +00:20:48,480 --> 00:20:53,720 +reacting substances are unrelated to each other + +234 +00:20:53,720 --> 00:21:01,200 +إلا أنه بعض المرات بيكون فيه اشتراك في one or more + +235 +00:21:01,200 --> 00:21:06,960 +Epitopes in common المواد + +236 +00:21:09,210 --> 00:21:17,290 +اللي لا تشترك طبعا نسميها في هذه الحالة ال + +237 +00:21:17,290 --> 00:21:24,290 +heterophilic antigens heterophil + +238 +00:21:24,290 --> 00:21:27,610 +لأنها جاية من two different species يعني على سبيل + +239 +00:21:27,610 --> 00:21:31,250 +المثال human blood group antigens بتتفاعل مع + +240 +00:21:31,250 --> 00:21:35,070 +antibodies لـ E.coli يعني يوم يصاب الإنسان بالـ E.coli + +241 +00:21:35,510 --> 00:21:42,190 +infection ويكون الجسم antibody هذه الـ antibody تتفاعل + +242 +00:21:42,190 --> 00:21:46,570 +مع blood group antigens ماشي في هذه الحالة + +243 +00:21:46,570 --> 00:21:52,810 +الـ antigens of both E.coli and blood group antigens + +244 +00:21:52,810 --> 00:21:58,370 +are فيه similarity ماشي فيه sharing للـ epitope + +245 +00:22:00,170 --> 00:22:01,970 +وبالتالي اللهم صلِّ عليه وسلم وعلى محمد اللهم + +246 +00:22:01,970 --> 00:22:02,150 +صلِّ عليه وسلم وعلى محمد اللهم صلِّ عليه وسلم + +247 +00:22:02,150 --> 00:22:03,950 +وعلى محمد اللهم صلِّ عليه وسلم وعلى محمد اللهم + +248 +00:22:03,950 --> 00:22:04,550 +صلِّ عليه وسلم وعلى محمد اللهم صلِّ عليه وسلم + +249 +00:22:04,550 --> 00:22:06,470 +وعلى محمد اللهم صلِّ عليه وسلم وعلى محمد اللهم + +250 +00:22:06,470 --> 00:22:08,090 +صلِّ عليه وسلم وعلى محمد اللهم صلِّ عليه وسلم + +251 +00:22:08,090 --> 00:22:10,590 +صلّى الله عليه وسلّم محمد اللهم صلّى الله عليه وسلّم محمد اللهم + +252 +00:22:10,590 --> 00:22:11,070 +صلّى الله عليه وسلّم محمد اللهم صلّى الله عليه وسلّم محمد اللهم + +253 +00:22:11,070 --> 00:22:15,950 +صلّى الله عليه وسلّم محمد اللهم صلّى الله عليه و + +254 +00:22:15,950 --> 00:22:22,370 +سلم و + +255 +00:22:22,370 --> 00:22:27,870 +محمد اللهم + +256 +00:22:27,870 --> 00:22:34,510 +صلّى أيضاً نعرف أن هناك الاختلافات الجينية بين + +257 +00:22:34,510 --> 00:22:40,450 +الأفراد بين الأفراد يعني الـ isotypes هي + +258 +00:22:40,450 --> 00:22:43,030 +عبارة عن الاختلافات الموجودة في داخل الإنسان + +259 +00:22:43,030 --> 00:22:46,670 +الـ allotypes هي الاختلافات الموجودة between + +260 +00:22:46,670 --> 00:22:51,590 +individuals of the same species يعني أن هناك + +261 +00:22:51,590 --> 00:22:58,250 +اختلافات بين الأفراد اللي موجودة بينهم ليش؟ لأن + +262 +00:22:58,250 --> 00:23:02,370 +الجينات اللي موجودة في كل واحد مختلفة عن الجينات + +263 +00:23:02,370 --> 00:23:06,790 +التانية. These are called Allotypic Variations. + +264 +00:23:07,790 --> 00:23:12,310 +طبعاً الـ Allotypic Differences at long loss usually + +265 +00:23:12,310 --> 00:23:16,390 +involve changes in one or two amino acids in + +266 +00:23:16,390 --> 00:23:20,210 +the constant region. الاختلافات غالباً بتكون اختلافات في + +267 +00:23:20,210 --> 00:23:27,130 +الـ constant region بتاعة الـ antibody. Anatopic bind + +268 +00:23:27,130 --> 00:23:32,670 +the same antigen in similar way أو ترتبط و الـ + +269 +00:23:32,670 --> 00:23:35,770 +markers طبعاً زي ما قلنا فيه اختلافات في الجين و + +270 +00:23:35,770 --> 00:23:39,310 +السبب ليش؟ لإنه الجين بيكون بين الـ polymorph فبيكون + +271 +00:23:39,310 --> 00:23:42,750 +فيه different قليل وبالتالي القليل تديني ايش؟ + +272 +00:23:42,750 --> 00:23:46,430 +different structure لكن الاختلافات بتكون بسيطة + +273 +00:23:46,430 --> 00:23:51,050 +marker لـ الـ antibody وجدوا أنه فيه في الـ heavy chain + +274 +00:23:51,050 --> 00:23:57,460 +اللي بتدين immunoglobulin G في GM وفي KM في الـ + +275 +00:23:57,460 --> 00:24:02,420 +Kappa Chain وفي AM في الـ Alpha Chain عشان هيك في + +276 +00:24:02,420 --> 00:24:08,940 +عندها sub classes في الـ G والـ A Classes + +277 +00:24:08,940 --> 00:24:15,620 +Allotypic Variants are inherited in Mendelian traits الـ + +278 +00:24:15,620 --> 00:24:19,780 +Idiotypes بتمثل + +279 +00:24:19,780 --> 00:24:24,500 +الاختلافات في الـ VL في الـ variable و الـ VH + +280 +00:24:27,370 --> 00:24:33,830 +وهذول إذا كان طبعاً نقلناهم + +281 +00:24:33,830 --> 00:24:41,650 +من إنسان إلى إنسان يعتبروا immunogenic ويكونوا + +282 +00:24:41,650 --> 00:24:48,550 +immune response طبعاً الاختلافات هذه موجودة between + +283 +00:24:48,550 --> 00:24:54,450 +different individuals of the same species عشان هيك + +284 +00:24:54,450 --> 00:24:58,410 +هذه الظاهرة ممكن يستخدموها by using anti-idiotypic + +285 +00:24:58,410 --> 00:25:05,830 +structure وهذا يمنع على طول الـ antigen يعني ارتباط + +286 +00:25:05,830 --> 00:25:07,030 +الـ antibody بالـ antigen + +287 +00:25:11,120 --> 00:25:16,220 +هذه الاختلافات لـ Detopic determinants اللي موجودة + +288 +00:25:16,220 --> 00:25:20,420 +في الـ immunoglobulin ممكن يكون الأساس في التحكم + +289 +00:25:20,420 --> 00:25:25,700 +بالـ immune response modulation وهي الـ structure + +290 +00:25:25,700 --> 00:25:31,680 +الثلاثة أي في أنا isotypes اختلاف كله أي اختلفت في + +291 +00:25:31,680 --> 00:25:37,320 +ايه؟ في الـ constant region وبالتالي تديني different + +292 +00:25:37,320 --> 00:25:43,200 +class يعني هنا في أنا IgG الـ constant عنده مفروض + +293 +00:25:43,200 --> 00:25:47,180 +أنها مختلفة تماماً عن الـ IgA المفروض أن ها + +294 +00:25:47,180 --> 00:25:55,100 +Alpha الـ Allotype في شوية اختلافات موجودة في الـ + +295 +00:25:55,100 --> 00:25:55,880 +constant region + +296 +00:25:58,940 --> 00:26:04,540 +الثانية زي بعض الـ immunoglobulin GA لكن الـ + +297 +00:26:04,540 --> 00:26:07,320 +constant region فيها اختلافات في الأشياء وهذه + +298 +00:26:07,320 --> 00:26:12,540 +الاختلافات ترجع لوجود الـ allelic forms في + +299 +00:26:12,540 --> 00:26:17,960 +الجين نفسه بتدينا different form of immunoglobulin + +300 +00:26:17,960 --> 00:26:22,340 +الـ idiotype بتاعي بالاختلاف وين؟ هذا هو في الـ Fab region + +301 +00:26:23,460 --> 00:26:26,360 +الاختلاف بين الـ IgG وبالتالي في عندنا different + +302 +00:26:26,360 --> 00:26:31,000 +specific specificity لكن زي ما قلنا لكوا أنه هذا + +303 +00:26:31,000 --> 00:26:35,000 +لو انتقل من شخص لإنسان it will be considered + +304 +00:26:35,000 --> 00:26:41,240 +immunogenic immunoglobulin + +305 +00:26:41,240 --> 00:26:45,900 +G هو اللي بنيه dominant immunoglobulin في blood في + +306 +00:26:45,900 --> 00:26:47,720 +lymph node في lymph + +307 +00:26:50,550 --> 00:26:54,970 +الـ fluid وفي الـ CSF البريتونيال الـ fluid يعني + +308 +00:26:54,970 --> 00:26:59,630 +الموجود في different types of fluid في الجسم و + +309 +00:26:59,630 --> 00:27:02,190 +غالباً it's distributed equally between + +310 +00:27:02,190 --> 00:27:05,670 +intravascular and extravascular يعني اللي في جوا و + +311 +00:27:05,670 --> 00:27:11,130 +برا تقريباً نفس الحاجة بيتكون من two gamma chain + +312 +00:27:11,130 --> 00:27:18,170 +و two light chain إلا إما كابا وإما + +313 +00:27:18,170 --> 00:27:21,990 +لامبدا وقلنا في عندنا four sub classes لل + +314 +00:27:21,990 --> 00:27:27,470 +immunoglobulin G في واحد واثنين وثلاثة وأربعة واحد + +315 +00:27:27,470 --> 00:27:35,150 +هو أكثرهم تركيزاً والـ IgG sub classes بتختلف بين بعض + +316 +00:27:35,150 --> 00:27:40,050 +بالـ chemical والـ biological properties فبنلاقي أنه + +317 +00:27:40,050 --> 00:27:45,170 +بشكل عام they can agglutinate or clump a + +318 +00:27:45,170 --> 00:27:47,050 +particulate يعني antigen + +319 +00:27:49,560 --> 00:27:56,720 +الـ reaction + +320 +00:27:56,720 --> 00:28:08,260 +غالباً مع soluble antigen بيعمل + +321 +00:28:08,260 --> 00:28:14,430 +precipitate إذا كان multi-valent الـ insoluble antigen + +322 +00:28:14,430 --> 00:28:20,730 +antigen antigen antigen antigen antigen antigen antigen + +323 +00:28:20,730 --> 00:28:24,870 +antigen + +324 +00:28:24,870 --> 00:28:25,470 +antigen antigen antigen antigen antigen antigen antigen + +325 +00:28:25,470 --> 00:28:25,810 +antigen antigen antigen antigen antigen antigen antigen + +326 +00:28:25,810 --> 00:28:26,690 +antigen antigen antigen antigen antigen antigen antigen + +327 +00:28:26,690 --> 00:28:27,570 +antigen antigen antigen antigen antigen antigen antigen + +328 +00:28:27,570 --> 00:28:28,650 +antigen antigen antigen antigen antigen antigen antigen + +329 +00:28:28,650 --> 00:28:31,050 +antigen antigen antigen antigen antigen antigen antigen + +330 +00:28:31,050 --> 00:28:40,590 +antigen antigen antigen + +331 +00:28:40,590 --> 00:28:47,090 +إن إذا كان الـ Antibody Multivalent والـ Insoluble + +332 +00:28:47,090 --> 00:28:52,850 +على طول فجوزة Excel بتخلصنا منه من صفات الـ IgG + +333 +00:28:52,850 --> 00:28:56,770 +نهوط Cancrosta placenta وقالوا كلهم Cancrosta + +334 +00:28:56,770 --> 00:29:04,970 +placenta معادة IgG2 وهذا طبعاً بشكل اللي هو + +335 +00:29:04,970 --> 00:29:08,190 +Transferring + +336 +00:29:08,190 --> 00:29:14,550 +immunity from mother to fetusالترانسفير البلاسنتل + +337 +00:29:14,550 --> 00:29:20,290 +يتم إعادة من وجود مصادر مصادر مصادر مصادر مصادر + +338 +00:29:20,290 --> 00:29:20,430 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +339 +00:29:20,430 --> 00:29:23,450 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +340 +00:29:23,450 --> 00:29:24,130 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +341 +00:29:24,130 --> 00:29:25,150 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +342 +00:29:25,150 --> 00:29:27,150 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +343 +00:29:27,150 --> 00:29:35,270 +مصادر مصادر مصادر مصادر مصادر + +344 +00:29:35,270 --> 00:29:38,230 +مص + +345 +00:29:40,190 --> 00:29:48,290 +في الشهر الثالث أو الرابع من الحمل فيه زيادة مطردة + +346 +00:29:48,290 --> 00:29:56,210 +في تركيز الـ IgG اللي جاي من الأم عند الـ baby شهر + +347 +00:29:56,210 --> 00:30:00,070 +الخامس من الـ emergency ببدأ الـ fetus to look after + +348 +00:30:00,070 --> 00:30:08,250 +himself وبالتالي ببدأ يكوّن IgM وشوية IgA + +349 +00:30:11,990 --> 00:30:15,830 +3 أو 4 أشهر بعد الولادة بعد الولادة بثلاثة أربعة + +350 +00:30:15,830 --> 00:30:21,050 +شهور بيبدأ الـ infants to synthesize its own IgG + +351 +00:30:21,050 --> 00:30:27,390 +ويتهادة طبعاً بيكون مصحوب بانخفاض drop in the + +352 +00:30:27,390 --> 00:30:32,890 +concentration of maternal IgG absorption of + +353 +00:30:32,890 --> 00:30:38,750 +maternal IgG موجود في الـ colostrum الـ colostrum of + +354 +00:30:38,750 --> 00:30:44,870 +nursing mothers ماشي طبعاً اللي موجود في الـ colostrum + +355 +00:30:44,870 --> 00:30:52,130 +ممكن يرتبط بالـ FcRN Protection Receptor اللي موجود + +356 +00:30:52,130 --> 00:30:54,610 +على الـ intestinal tissue of the neonate يعني + +357 +00:30:54,610 --> 00:31:01,270 +بيمتصّه الـ baby الحليب اللي بياخده من الأم فيه IgG + +358 +00:31:01,270 --> 00:31:05,310 +لما يصل أمعاء الـ baby أو الـ neonate على طول + +359 +00:31:05,310 --> 00:31:09,670 +بيمتصّه من خلال وجود الـ receptor FcRN اللي موجود + +360 +00:31:09,670 --> 00:31:16,550 +على الـ intestinal tissueصفة أخرى من صفات الـ IgG + +361 +00:31:16,550 --> 00:31:23,870 +وهي الـ opsonization وهذه مهمة جداً لتسهيل عملية الـ + +362 +00:31:23,870 --> 00:31:28,230 +phagocytosis وإلا كيف تتعرف الـ phagocytic cell على + +363 +00:31:28,230 --> 00:31:33,990 +الـ antigen من خلال تعليمه by antibody mostly الـ + +364 +00:31:33,990 --> 00:31:36,570 +IgG has this ability + +365 +00:31:42,170 --> 00:31:45,390 +Antibody-dependent cell-mediated cytotoxicity + +366 +00:31:45,390 --> 00:31:50,810 +بتعتمد على أن الـ Fab regions of IgG بترتبط + +367 +00:31:50,810 --> 00:31:55,810 +بالـ antigen بضل التنين الـ Fc Portion على الـ Fc + +368 +00:31:55,810 --> 00:32:00,330 +Portion وجدوا اليه ريسبتور على سطح كل الـ phagocytic + +369 +00:32:00,330 --> 00:32:07,250 +cell and NK cell عشان هي كل الـ phagocytic cell تتعرف + +370 +00:32:07,250 --> 00:32:10,830 +على الـ antigen بهذه الخاصية بالإضافة إلى الـ + +371 +00:32:10,830 --> 00:32:19,220 +Opsonizer أو كيفية + +372 +00:32:19,220 --> 00:32:27,900 +التعرف على الـ antibody دي باند الـ Fab region و IgG + +373 +00:32:27,900 --> 00:32:31,420 +بتمسك في الـ Antigen فبتضل فعّالة مين اللي هو الـ Fc + +374 +00:32:31,420 --> 00:32:34,900 +portion هذا اللي هو الـ Receptor على سطح الـ phagocytes + +375 +00:32:34,900 --> 00:32:39,160 +اللي بيكسبها اللي بعد مرة طبعاً الـ killer cell تبدأ + +376 +00:32:39,160 --> 00:32:46,580 +تقتل الـ target cell من خلال إفراز certain granules + +377 +00:32:46,580 --> 00:32:50,980 +عليها activation of complement by IgG complement + +378 +00:32:50,980 --> 00:32:57,320 +activation أيضا بيؤدي الى الـ direct license of the + +379 +00:32:57,320 --> 00:33:00,980 +invading organism برضه بتتم من خلال الـ + +380 +00:33:00,980 --> 00:33:07,200 +opsonization يعني إيه؟ بتتم عملية إيه؟ اللي هو الـ + +381 +00:33:07,200 --> 00:33:12,340 +direct killing by activation of complement + +382 +00:33:12,340 --> 00:33:15,930 +neutralization of toxin طبعا بيصير فيه Antigen + +383 +00:33:15,930 --> 00:33:19,370 +Antibody reaction blocking للـ Antigen و بيصير للـ Toxin + +384 +00:33:19,370 --> 00:33:23,330 +و بيصير فيه بيصير هذا هو immunoglobulin يلقى the + +385 +00:33:23,330 --> 00:33:28,870 +active site of various toxins زي الـ tetanus زي الـ + +386 +00:33:28,870 --> 00:33:33,450 +botulism botulinum + +387 +00:33:33,450 --> 00:33:38,910 +و الـ passive immunization is used immobilization + +388 +00:33:38,910 --> 00:33:41,710 +of بكتيريا زي الـ Trypanosoma pallidum + +389 +00:33:46,660 --> 00:33:51,840 +immobilization neutralization of virus IgG is an + +390 +00:33:51,840 --> 00:33:56,260 +efficient virus neutralizing antibody inhibition + +391 +00:33:56,260 --> 00:34:01,500 +of viral attachment to the target cell وطبعا بيصير + +392 +00:34:01,500 --> 00:34:07,160 +فيه inhibition للـ penetration of virus وطبعا + +393 +00:34:07,160 --> 00:34:11,300 +زي ما أنتم شايفين الصورة هي الـ phagocytic cell + +394 +00:34:11,300 --> 00:34:16,280 +الـ receptor للـ Fc portion هي الـ Fc portion شايفين + +395 +00:34:16,280 --> 00:34:21,920 +ماسكة الـ antibody من ناحية الـ Fc portion طبعا الـ Fc + +396 +00:34:21,920 --> 00:34:28,320 +portion طبعا هي زي ما أنتم شايفين زي + +397 +00:34:28,320 --> 00:34:29,860 +ما أنتم شايفين + +398 +00:34:32,840 --> 00:34:39,380 +أن الـ Antigen معلق بالـ antibody اللى فالت منه مين الـ + +399 +00:34:39,380 --> 00:34:43,000 +Fc Portion الـ Fc Portion ده اللى اللى Receptor ده + +400 +00:34:43,000 --> 00:34:50,840 +هو عبارة عن Antibody ده ممسك بالـ Fc اللى فالت وهي + +401 +00:34:50,840 --> 00:34:56,080 +ممسك وبالتالي بيعملش phagocytosis بتتم عمليتش الـ + +402 +00:34:56,080 --> 00:34:57,020 +phagocytosis + +403 +00:34:59,860 --> 00:35:03,400 +الـ أهده طبعا الـ important differences among human + +404 +00:35:03,400 --> 00:35:09,700 +IgG classes زي ما تلاحظوا الـ IgG 1 التركيز تبعه + +405 +00:35:09,700 --> 00:35:18,220 +أكثر واحد 70% بيأتي IgG 2 بيأتي 3 بيأتي 4 الـ half + +406 +00:35:18,220 --> 00:35:27,780 +life كلهم 23 يوم بعد IgG 3 complement binding الـ + +407 +00:35:28,270 --> 00:35:32,150 +اللي بيعمل complement activation هو IgG3 أربعة + +408 +00:35:32,150 --> 00:35:37,910 +بيعملش واحد واتنين يعني الـ placental percentage + +409 +00:35:37,910 --> 00:35:42,730 +كلهم بيعملوا crossing للـ placenta معادة IgG2 والـ + +410 +00:35:42,730 --> 00:35:49,130 +binding to monocytes IgG1 و 3 أكثر اتنين بيعملوا + +411 +00:35:49,130 --> 00:35:51,370 +ارتباط بالـ monocytes + +412 +00:35:54,890 --> 00:35:58,470 +الـ IgM هو أول Antibody يطلع يوم ما يكون فيه + +413 +00:35:58,470 --> 00:36:05,250 +Infection ووجوده Indicate أنه فيه Recent Infection + +414 +00:36:05,250 --> 00:36:10,770 +وهو عبارة عن Pentameric Molecule الـ units are + +415 +00:36:10,770 --> 00:36:15,950 +joined together Pentameric خماسي يعني وكل unit + +416 +00:36:15,950 --> 00:36:18,010 +عبارة عن + +417 +00:36:22,480 --> 00:36:27,720 +Immunoglobulin الـ structure يعني زي الـ IgG الـ + +418 +00:36:27,720 --> 00:36:33,300 +structure لحاله وبالتالي بيكون عندنا خمسة + +419 +00:36:33,300 --> 00:36:35,680 +different structure كل واحد منهم بيسموه unit + +420 +00:36:35,680 --> 00:36:39,580 +الخمسة بيجتمعوا بيرتبطوا مع بعض من خلال SS bond + +421 +00:36:39,580 --> 00:36:42,700 +بيرتبطوا + +422 +00:36:42,700 --> 00:36:48,180 +من ناحية الـ Fc portion و بيكونوا الـ J chain + +423 +00:36:50,720 --> 00:36:57,260 +بتصنع أيضًا في الـ B-Lymphocyte Cell الـ IgM أيضًا + +424 +00:36:57,260 --> 00:37:02,060 +موجود Intracellular وموجود على سطح الـ B + +425 +00:37:02,060 --> 00:37:09,890 +-Lymphocyte وهو الـ IgD بيكونوا الـ Paratope اللي هيرتبط + +426 +00:37:09,890 --> 00:37:15,190 +بالـ Antigen Antigen specific Paratope الـ IgM من صفاته أنه + +427 +00:37:15,190 --> 00:37:17,930 +excellent complement fixing بنشط الـ complement + +428 +00:37:17,930 --> 00:37:24,690 +بنجاح و أيضًا efficient agglutinating antibody و + +429 +00:37:24,690 --> 00:37:28,150 +بيكون الـ Iso hemagglutinin و الـ Iso الـ + +430 +00:37:28,150 --> 00:37:31,650 +hemagglutinin هم عبارة عن naturally occurring IgM + +431 +00:37:31,650 --> 00:37:37,990 +antibody موجودين against RBCs Antigen يعني الـ A B O + +432 +00:37:37,990 --> 00:37:43,160 +Antigen لكن الملاحظ أن الـ IgM اللي هو الـ + +433 +00:37:43,160 --> 00:37:46,820 +Isohemoagglutinin هدولة They cannot cross the placenta + +434 +00:37:46,820 --> 00:37:49,660 +وبالتالي ما بيعملوا incompatibility بين الـ mother + +435 +00:37:49,660 --> 00:37:55,320 +و بين إيش و بين الـ fetus إلا أن بعض الـ bacteria اللي + +436 +00:37:55,320 --> 00:37:57,740 +موجودة في الـ gastrointestinal أو الـ respiratory + +437 +00:37:57,740 --> 00:38:03,180 +tract بيلها بعض الـ determinants اللي بتشبه الـ ABO + +438 +00:38:03,180 --> 00:38:07,920 +blood group IgA + +439 +00:38:08,860 --> 00:38:11,440 +هو الـ major antibody موجود في الـ external + +440 +00:38:11,440 --> 00:38:18,720 +secretion و such as saliva, mucus, sweat, gastric + +441 +00:38:18,720 --> 00:38:24,200 +fluid and tears و الـ major antibody found in + +442 +00:38:24,200 --> 00:38:30,840 +colostrum of milk يعني في حليب اللبأ للأم and it + +443 +00:38:30,840 --> 00:38:35,140 +protects intestinal tract of infant against pathogen + +444 +00:38:36,080 --> 00:38:40,160 +During the first week after birth وهو حامل حمالة + +445 +00:38:40,160 --> 00:38:45,440 +الـ Intestinal tract of Neonate Within mucous + +446 +00:38:45,440 --> 00:38:52,020 +secretion الـ IgA موجود على شكل Dimer مرتبط بـ J + +447 +00:38:52,020 --> 00:38:59,840 +Chain زي الـ J الموجودة فيه في IgM لكن هنا Dimeric + +448 +00:38:59,840 --> 00:39:01,060 +Molecule مش Pentameric + +449 +00:39:06,920 --> 00:39:16,080 +وخط سير الـ IgA عندما يتكون في الـ tissue ويخرج من + +450 +00:39:16,080 --> 00:39:22,500 +الـ tissue على الـ Mucosal + +451 +00:39:22,500 --> 00:39:29,350 +Membrane يمر في الـ cells هو مرتبط بشيء يسمى Poly + +452 +00:39:29,350 --> 00:39:32,850 +Immunoglobulin Receptor موجود على الـ Basal + +453 +00:39:32,850 --> 00:39:36,610 +Membrane of Adjacent Epithelial Cell وهذا الـ + +454 +00:39:36,610 --> 00:39:42,670 +Receptor بيساعده أنه يخترق الـ Epithelial Cell عشان + +455 +00:39:42,670 --> 00:39:46,270 +يطلع Extracellular في الـ Extracellular Fluid + +456 +00:39:46,270 --> 00:39:52,770 +اللي موجودة في الـ Gut أو الـ Bronchi وعملية ووجوده + +457 +00:39:52,770 --> 00:39:57,170 +أيضًا بتتسهل + +458 +00:39:57,170 --> 00:40:04,090 +بوجود By enzymatic cleavage يوم يطلع من الـ + +459 +00:40:04,090 --> 00:40:06,450 +epithelial cell على الـ extra cellular fluid + +460 +00:40:06,450 --> 00:40:11,030 +بتنقطع هذه الـ poly immunoglobulin receptor لكنها + +461 +00:40:11,030 --> 00:40:15,530 +بتترك وراها جزء صغير بسموه secretory component + +462 +00:40:15,530 --> 00:40:20,190 +بيبقى مرتبط بالـ FC portion of the immunoglobulin + +463 +00:40:20,190 --> 00:40:20,750 +domain + +464 +00:40:23,640 --> 00:40:27,480 +الجزء السكري يمكن أن يساعد في حماية + +465 +00:40:27,480 --> 00:40:30,500 +الـ Dimeric Immunoglobulin-A من التحلل + +466 +00:40:30,500 --> 00:40:36,480 +البروتيوليوتيكي، يعني التحلل.الجزء السكري + +467 +00:40:36,480 --> 00:40:39,240 +يمكن أن يساعد في حماية الـ Respiratory and + +468 +00:40:39,240 --> 00:40:43,100 +gastrointestinal tract من التأثير، وهو ممكن يعمل + +469 +00:40:43,100 --> 00:40:48,280 +Inhibition لأي أنهيبش لجسم الإبيثيليل.هو أيضًا ممكن أن + +470 +00:40:48,280 --> 00:40:50,840 +يعمل Inhibition لجسم الإبيثيليل.هو أيضًا ممكن أن يعمل + +471 +00:40:50,840 --> 00:40:51,360 +Inhibition لجسم الإبيثيليل.هو أيضًا ممكن أن يعمل + +472 +00:40:51,360 --> 00:40:56,300 +Inhibition لجسم الإبيثيليل.في وجود الإيزوزاين الـ IgA + +473 +00:40:56,300 --> 00:40:59,920 +أيضًا من صفاته أنه يحتوي على الـ Antiviral and + +474 +00:40:59,920 --> 00:41:06,640 +Efficient Agglutinating Antibody وهذا هي الرحلة زي + +475 +00:41:06,640 --> 00:41:13,200 +ما قلنا Plasma Cell بتصنعه وفتشه بيصير as a + +476 +00:41:13,200 --> 00:41:16,780 +dimeric molecule طبعا عشان ينتقل إلى الـ + +477 +00:41:16,780 --> 00:41:21,420 +Extracellular بيروح و هو مرتبط بـ Receptor على سطح + +478 +00:41:21,420 --> 00:41:25,730 +الـ Adjacent Epithelial cells و بيسمو هذا receptor + +479 +00:41:25,730 --> 00:41:29,330 +polyimmunoglobulin receptor فبيخش على شكل physical + +480 +00:41:29,330 --> 00:41:33,350 +في الـ epithelial cells و في داخل الـ physical بيتم + +481 +00:41:33,350 --> 00:41:38,550 +عملية تقطيعه و لما بتقطع بطلع طبعا by enzymatic + +482 +00:41:38,550 --> 00:41:43,790 +action بطلع extracellularly عملية التقطيع مطلوبة + +483 +00:41:43,790 --> 00:41:47,970 +لأنه Big Molecule في هذه الحالة فبدنا نزغره و بطلع + +484 +00:41:47,970 --> 00:41:51,310 +extracellularly لكن بيبقى + +485 +00:41:55,650 --> 00:42:01,330 +مرتبط بالـ Fc Portion of IgA Dimer بيسموها الـ + +486 +00:42:01,330 --> 00:42:04,550 +Secretory Component هي اللي بتحافظ على الـ molecule + +487 +00:42:04,550 --> 00:42:10,170 +من الـ proteolysis IgD + +488 +00:42:10,170 --> 00:42:13,830 +موجود + +489 +00:42:13,830 --> 00:42:20,080 +على سطح الـ B-Lymphocyte هو الـ IgM و it functioned as + +490 +00:42:20,080 --> 00:42:26,120 +antigen receptor specific Paratope اللي بيكون ان الـ IgD + +491 +00:42:26,120 --> 00:42:29,360 +correlate with the elimination of B cell with the + +492 +00:42:29,360 --> 00:42:37,180 +capacity to generate self-reactive antibody إيش + +493 +00:42:37,180 --> 00:42:44,680 +يعني؟ يعني هو من يمنع أو يساعد في التخلص من الـ B + +494 +00:42:44,680 --> 00:42:49,220 +-Lymphocytes إذا تحولت إلى الـ Self-Reactive إذا + +495 +00:42:49,220 --> 00:42:59,760 +أنتجت لنا Self-Reactive Antibody IgE طبعا بيسموه + +496 +00:42:59,760 --> 00:43:05,620 +Reagenic Antibody وطبعا الـ Fc Portion تبعته لها + +497 +00:43:05,620 --> 00:43:12,290 +Receptor على الـ Mast cell والـ Basophil لما يرتبط بالـ Receptor + +498 +00:43:12,290 --> 00:43:18,530 +تبعه بيرتبط من خلال الـ Fab region وفي + +499 +00:43:18,530 --> 00:43:22,750 +هذه الحالة بيبقى الـ variable الـ Fc portion اللي لما + +500 +00:43:22,750 --> 00:43:27,450 +يحصل Cross-linking بالـ Antigen بيصير الخلية هذه + +501 +00:43:27,450 --> 00:43:33,470 +activated وبتبدأ تطلع لناتحتوي على أكثر من 24 + +502 +00:43:33,470 --> 00:43:37,690 +أشكال مختلفة كيميائية أشهرها الهيستامين والهيبارين + +503 +00:43:37,690 --> 00:43:42,210 +والليوكترين وهذا يشغّل بالفعل عملية عملية عملية + +504 +00:43:42,210 --> 00:43:42,230 +عملية عملية عملية عملية عملية عملية عملية عملية + +505 +00:43:42,230 --> 00:43:42,890 +عملية عملية عملية عملية عملية عملية عملية عملية + +506 +00:43:42,890 --> 00:43:44,510 +عملية عملية عملية عملية عملية عملية عملية عملية + +507 +00:43:44,510 --> 00:43:46,530 +عملية عملية عملية عملية عملية عملية عملية عملية + +508 +00:43:46,530 --> 00:43:48,030 +عملية عملية عملية عملية عملية عملية عملية عملية + +509 +00:43:48,030 --> 00:43:59,450 +عملية عملية عملية عملية + +510 +00:43:59,450 --> 00:44:05,930 +عماشي يوم يرتبط بالانتيجين بس الشرط الأساسي لتنشيط + +511 +00:44:05,930 --> 00:44:09,670 +الخلية أن يبقى هناك cross linking two adjacent + +512 +00:44:09,670 --> 00:44:13,930 +antibodies combined to the antigen وبالتالي بيبقى + +513 +00:44:13,930 --> 00:44:19,370 +هناك activation وdegranulation للخلية وطبعا بيطلع + +514 +00:44:19,370 --> 00:44:25,510 +زي ما قلتلكوا الهيستامين والهيبارين والليوكترين + +515 +00:44:25,510 --> 00:44:29,210 +بيسموه the receptor FCY + +516 +00:44:33,620 --> 00:44:38,980 +وهذه طبعا التي هي جدول بيبين لي different chemical + +517 +00:44:38,980 --> 00:44:43,180 +and physical properties of immunoglobulins + +518 +00:44:43,180 --> 00:44:50,340 +المختلفة التي سميناهم isotopes هو هي the structure + +519 +00:44:50,340 --> 00:44:54,000 +of different isotypes الموجودة في الجسم + +520 +00:44:57,520 --> 00:45:02,620 +وهي the figure التي قلنا كيف بيصير فيه protection + +521 +00:45:02,620 --> 00:45:11,920 +لل immunoglobulin IGG في the intestinal mucosa ده + +522 +00:45:11,920 --> 00:45:19,160 +هو بيطلع the IGG بياخده the antigen في the FCRP التي + +523 +00:45:19,160 --> 00:45:24,540 +هو protection لل FCRP يرتبط بال antibody ده هو ال + +524 +00:45:24,540 --> 00:45:27,670 +antibody الذي ماسك antigen طبعا بيخش على شكل + +525 +00:45:27,670 --> 00:45:31,950 +physical بعد ذلك بيصير في dissociation للانتيجن و + +526 +00:45:31,950 --> 00:45:36,730 +بيظل the antibody مرتبط بال FCRP التي بيطلع على ال + +527 +00:45:36,730 --> 00:45:44,830 +cell membrane و يرتبط أن بيدور على يعني بيحل من + +528 +00:45:44,830 --> 00:45:49,310 +the receptor في وجود neutral pH طبعا the antigen + +529 +00:45:49,310 --> 00:45:53,950 +بيظل في the physical بعد ذلك the lysozyme بيخشواهو + +530 +00:45:53,950 --> 00:45:56,690 +يخلصنا من الانتيجن من الانتيجن الانتيجن الانتيجن + +531 +00:45:56,690 --> 00:46:03,150 +الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن + +532 +00:46:03,150 --> 00:46:05,110 +الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن + +533 +00:46:05,110 --> 00:46:06,210 +الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن + +534 +00:46:06,210 --> 00:46:08,150 +الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن + +535 +00:46:08,150 --> 00:46:11,650 +الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن الانتيجن + +536 +00:46:11,650 --> 00:46:20,470 +الانتيجن الانتيجن الانتيجن + +537 +00:46:24,680 --> 00:46:28,640 +بسم الله الرحمن الرحيم استكمالا لمحاضرة the antibody + +538 +00:46:28,640 --> 00:46:32,800 +structure and function وصلنا ل the kinetics of + +539 +00:46:32,800 --> 00:46:40,160 +antibody response after immunization وزي ما + +540 +00:46:40,160 --> 00:46:42,920 +تشايفين في the figure في أن primary immune + +541 +00:46:42,920 --> 00:46:46,740 +response و في أن secondary immune response زي ما + +542 +00:46:46,740 --> 00:46:49,400 +تشايفين في the primary immune response في أكثر من + +543 +00:46:49,400 --> 00:46:53,290 +phase تمر فيها تمر فيها the primary immune response + +544 +00:46:53,290 --> 00:46:56,430 +خلينا نتطلق إلى هذه the phases زي ما أنتم شايفين + +545 +00:46:56,430 --> 00:47:00,590 +في عندنا التي + +546 +00:47:00,590 --> 00:47:05,850 +هو the latent exponential steady and declining + +547 +00:47:05,850 --> 00:47:13,570 +ونشوفهم طيب هذه the primary phase ينقسم + +548 +00:47:13,570 --> 00:47:19,390 +إلى عدة phases أولها the late و the latent هي عبارة + +549 +00:47:19,390 --> 00:47:25,190 +عن the lag phase الفترة المطلوبة for B and T cell + +550 +00:47:25,190 --> 00:47:28,250 +to make contact وصلها proliferation and + +551 +00:47:28,250 --> 00:47:30,890 +differentiation make contact و the antigen طبعا + +552 +00:47:30,890 --> 00:47:34,590 +وصلها proliferation and differentiation غالبا هذه + +553 +00:47:34,590 --> 00:47:41,230 +الفترة بتكون من one to two weeks الفترة الثانية + +554 +00:47:41,230 --> 00:47:43,830 +exponential phase وطبعا في هذا the phase بيصير فيه + +555 +00:47:43,830 --> 00:47:47,570 +زيادة من أيه اسمه لل antibody concentration in + +556 +00:47:47,570 --> 00:47:51,610 +serum الفترة الثالثة التي هو steady phase وهنا بيصير + +557 +00:47:51,610 --> 00:47:55,630 +فيه balance في the production and degradation واخر + +558 +00:47:55,630 --> 00:47:59,170 +phase هو declining phase بيبدأ the immunoglobulin + +559 +00:47:59,170 --> 00:48:03,070 +to shutdown فال antibody level and structure بيصير + +560 +00:48:03,070 --> 00:48:08,290 +له declining rapidly أول antibody بيطلع هو the IgM + +561 +00:48:08,910 --> 00:48:13,810 +وإذا كان the IGG بدو يطلع فال IGG بيكون مصاحب زيادة + +562 +00:48:13,810 --> 00:48:19,270 +the IGG بتكون مصاحبها قلة في the production of IGF + +563 +00:48:19,270 --> 00:48:22,710 +في secondary immune response طبعا أثناء the primary + +564 +00:48:22,710 --> 00:48:29,110 +immune response تكون the pool from long lived + +565 +00:48:29,110 --> 00:48:34,070 +memory cell تكون pool of memory cell and this + +566 +00:48:34,070 --> 00:48:37,900 +memory cell عندها القدرة to mount a secondary + +567 +00:48:37,900 --> 00:48:43,300 +response of the same antigen في secondary or + +568 +00:48:43,300 --> 00:48:47,240 +memory response بيسموه بعد مرات anamnestic + +569 +00:48:47,240 --> 00:48:53,420 +response بيصير فيه طبعا apparent response to the + +570 +00:48:53,420 --> 00:49:01,900 +antigen و غالبا تتم في هذا the response التي بيكون + +571 +00:49:01,900 --> 00:49:06,580 +the lag phase is shorter و the antibody التي بينتج + +572 +00:49:06,580 --> 00:49:15,440 +بيكون أكثر و it lasts longer بمعنى بتول for month + +573 +00:49:15,440 --> 00:49:20,700 +or years ال + +574 +00:49:20,700 --> 00:49:22,900 +IgG antibody + +575 +00:49:26,730 --> 00:49:32,930 +يظهر بسرعة وتركيز أعلى من the IgM ويمكن أن يطلع + +576 +00:49:32,930 --> 00:49:36,250 +IgA أو IgE ويسمو هذه الظاهرة Class-Switching + +577 +00:49:36,250 --> 00:49:41,090 +Phenomena بس كل the Antibody التي بتطلع عبارة عن + +578 +00:49:41,090 --> 00:49:46,070 +has the same specificity as IgM التي طلع بيصير في + +579 +00:49:46,070 --> 00:49:48,650 +affinity of maturation في the class-switching + +580 +00:49:48,650 --> 00:49:51,830 +وبالتالي قدرة the antibody التي بيطلع على الارتباط + +581 +00:49:51,830 --> 00:49:56,920 +بالانتيجن بتكون أعلى و Secondary immune response + +582 +00:49:56,920 --> 00:50:03,820 +يمثل لنا ظاهرة the repeated immunization بمعنى + +583 +00:50:03,820 --> 00:50:08,480 +with attenuated طبعا justified هو برر لنا موضوع + +584 +00:50:08,480 --> 00:50:11,980 +التي هو repeated immunization with attenuated + +585 +00:50:11,980 --> 00:50:16,340 +inactivated pathogen to induce an immune response + +586 +00:50:17,310 --> 00:50:20,670 +Immunoglobulin superfamily في عائلة كلها هذه + +587 +00:50:20,670 --> 00:50:24,310 +العائلة كلها تشترك في the structure of + +588 +00:50:24,310 --> 00:50:28,670 +immunoglobulin التي هو عبارة عن Y-shaped غالبا أو + +589 +00:50:28,670 --> 00:50:34,550 +وجود the domain في the structure فهذه العائلة هي + +590 +00:50:34,550 --> 00:50:37,570 +عبارة عن immunoglobulin تأخد the Y-shape the + +591 +00:50:37,570 --> 00:50:41,730 +Structure التي جنبه التي هو the molecule التي جنبه + +592 +00:50:41,730 --> 00:50:45,510 +التي هو immunoglobulin Alpha, Beta, تيرو دايمر أي + +593 +00:50:45,510 --> 00:50:49,490 +ماخد نفس تقريبا the structure ثم the T cell receptor + +594 +00:50:49,490 --> 00:50:59,070 +و the CD3 CD3 عبارة عن برضه structure بيكون جنب ال + +595 +00:50:59,070 --> 00:51:07,420 +PCR و immunoglobulin Alpha, Beta ويساعد أيضًا في + +596 +00:51:07,420 --> 00:51:11,220 +the Cell Signaling ثم Class I و Class II MHC + +597 +00:51:11,220 --> 00:51:15,000 +موليكيول ثم Poly-Immunoglobulin Receptor التي قلنا + +598 +00:51:15,000 --> 00:51:21,660 +IGA يرتبط فيه عشان تفسيلتيت التي هو extravasation + +599 +00:51:21,660 --> 00:51:27,080 +to the extracellular fluid ال + +600 +00:51:27,080 --> 00:51:30,360 +.. these molecules زي ما قلنا sharing the same + +601 +00:51:30,360 --> 00:51:35,880 +structure immunoglobulin 4-domain و طبعا هذا دليل + +602 +00:51:35,880 --> 00:51:40,900 +على أن كلهم طالعين من نفس الجينات من جينات في نفس + +603 +00:51:40,900 --> 00:51:46,180 +المنطقة sorry التي هي primordial gene عملية ال + +604 +00:51:46,180 --> 00:51:50,190 +folding أو the Loop Formation و تكوين the Domain + +605 +00:51:50,190 --> 00:51:55,450 +سببه التي هو the Intra-Chain Disulfide Bond و التي + +606 +00:51:55,450 --> 00:51:59,230 +يشكل حوالي 110 Amino Acids و هذه the Domains + +607 +00:51:59,230 --> 00:52:03,810 +غالبا هي التي تمكن من الارتباط بال Cell Surface + +608 +00:52:03,810 --> 00:52:07,070 +Molecule زي CD4 على the T-Helper Cell و أماتشي + +609 +00:52:07,070 --> 00:52:10,250 +Class II Molecule على the Antigen Presenting Cell + +610 +00:52:10,250 --> 00:52:13,430 +الموضوع + +611 +00:52:13,430 --> 00:52:15,130 +الثاني التي بدأنا نحكي فيه Related to + +612 +00:52:15,130 --> 00:52:19,040 +Immunoglobulin structure and function هو ال + +613 +00:52:19,040 --> 00:52:21,940 +hybridoma technique و the monoclonal antibody + +614 +00:52:21,940 --> 00:52:27,200 +formation طبعا زي ما أنتم شايفين التكنيك ببساطة و + +615 +00:52:27,200 --> 00:52:31,820 +باختصار احنا كل التي بناخده هو عبارة عن spleen + +616 +00:52:31,820 --> 00:52:40,980 +cell mostly B lymphocytes من the spleen المنفعر + +617 +00:52:40,980 --> 00:52:46,570 +عرضنا ل antigen يعني the B lymphocyte already تعرضت + +618 +00:52:46,570 --> 00:52:54,530 +ل antigen ماشي و بنجيب myeloma cell و the myeloma + +619 +00:52:54,530 --> 00:53:05,940 +cell بتكون يعني مهجنة جينيا أو باستخدام the Genetic + +620 +00:53:05,940 --> 00:53:09,840 +Engineering بيشيلوا منها the enzyme Ibogazine + +621 +00:53:09,840 --> 00:53:14,460 +Phosphoribosyltransferase enzyme بينشأ الهيو + +622 +00:53:14,460 --> 00:53:18,620 +نيجاتيف و بيجيبوا التوسط طبعا Myeloma cell يعني B + +623 +00:53:18,620 --> 00:53:24,380 +lymphocyte لكنها cancer of B lymphocytes هذه + +624 +00:53:24,380 --> 00:53:27,980 +الخلية طبعا شرط أن تكون غير قادرة على إنتاج + +625 +00:53:27,980 --> 00:53:30,080 +immunoglobulin + +626 +00:53:36,490 --> 00:53:41,670 +ال culture media غالبا بيكون contain ال hat medium + +627 +00:53:41,670 --> 00:53:46,030 +اللي هو عبارة عن ال hypo, xanthine, amino, pterin + +628 +00:53:47,460 --> 00:53:52,720 +فايمدينو ميديام طبعا ال بيليمفوسايت تستطيع تستغل + +629 +00:53:52,720 --> 00:53:58,480 +هذه ال نيوكليوتايد لتصنيع اللي هو ال DNA بينما ال + +630 +00:53:58,480 --> 00:54:02,460 +myeloma cell لا تستطيع لأنها تفقد ال enzyme اللي + +631 +00:54:02,460 --> 00:54:10,680 +بيساعد على استغلال هذه ال نيوكليوتايد نشيب هات to + +632 +00:54:10,680 --> 00:54:15,120 +grow وبعدين نفحص ل supernatant for antibody + +633 +00:54:15,120 --> 00:54:21,780 +production بناخد ال clone of each positive culture + +634 +00:54:21,780 --> 00:54:28,080 +و بنعمله أيه صعب ال culturing برضه بنفحص ال super + +635 +00:54:28,080 --> 00:54:32,960 +natant وإذا بدنا نزود عددها إذا عجبنا الخلية و + +636 +00:54:32,960 --> 00:54:38,560 +نجحت مية في المية بنزود عددها بزود عددها اما by + +637 +00:54:39,420 --> 00:54:43,540 +propagation in vivo روحنا هخلينها برضه في + +638 +00:54:43,540 --> 00:54:48,140 +البراتونير كافتي تبعت الفعار فبتبدأ تنمو بكميات + +639 +00:54:48,140 --> 00:54:53,380 +كبيرة جدا وبيعتبر ال culture media محترم جدا أو in + +640 +00:54:53,380 --> 00:54:57,720 +vitro in subculturing هذا هو نعملها culturing + +641 +00:54:57,720 --> 00:55:02,940 +وطبعا بعديك نعمل harvesting للمونوكلونال antibody + +642 +00:55:02,940 --> 00:55:08,160 +ناخدها و بنعملها subculturing و بناخد طبعا ناخد + +643 +00:55:08,160 --> 00:55:12,420 +كل واحدة و نعملها ايش؟ بتدينا clone وال clone بده + +644 +00:55:12,420 --> 00:55:17,240 +يدينا كميات كبيرة من ال monoclonal antibody اللي + +645 +00:55:17,240 --> 00:55:23,080 +هي immunized agents يوم أي انسان يتعرض لانتيجن + +646 +00:55:23,080 --> 00:55:26,900 +الانتيجن ممكن يحتوي عليها many epitopes these + +647 +00:55:26,900 --> 00:55:31,360 +epitopes will activate many lymphocytes وال + +648 +00:55:31,360 --> 00:55:35,180 +lymphocytes اللي بتتنشط هتدينا many antibodies + +649 +00:55:35,180 --> 00:55:40,690 +specific for the different epitopes ماشي في ال 75 + +650 +00:55:40,690 --> 00:55:46,550 +يعني ظهرت الحاجة لإنه نحتاج إلى monoclonal + +651 +00:55:46,550 --> 00:55:50,250 +antibody بدناش polyclonal طبعا في ال .. في ال .. + +652 +00:55:50,250 --> 00:55:54,190 +أول هذا كل اللي بيطلع polyclonal antibody لكن ظهرت + +653 +00:55:54,190 --> 00:55:57,710 +الحاجة في ال .. ال monoclonal antibody اللي هو + +654 +00:55:57,710 --> 00:56:02,110 +more specific بس بدنا one antibody وطبعا اللي جام + +655 +00:56:02,110 --> 00:56:06,130 +بيها العملية اللي هو Kohler و Milstein في الخمسة + +656 +00:56:06,130 --> 00:56:10,610 +وسبعين طوروا عملية تصنيع ال monoclonal antibody + +657 +00:56:10,610 --> 00:56:15,370 +واخد عليها ال Nobel Prize وال monoclonal antibody + +658 +00:56:15,370 --> 00:56:17,570 +اللي بيطلع هو برعنة homogeneous population و + +659 +00:56:17,570 --> 00:56:20,530 +antibody molecule طلع منه single antibody + +660 +00:56:20,530 --> 00:56:23,730 +producing cell واحدة in which all antibody are + +661 +00:56:23,730 --> 00:56:24,250 +identical + +662 +00:56:30,380 --> 00:56:33,980 +وهي البروسيجال اللي تبعها الكوية بالضبط ماليجنة + +663 +00:56:33,980 --> 00:56:38,380 +انتبلازما سيل يعني امورتايل ما عندهاش القدرة انها + +664 +00:56:38,380 --> 00:56:43,300 +تنتج أي مينو غلوبيلين ماشي these cells are + +665 +00:56:43,300 --> 00:56:47,060 +engineered to be deficient بيشيلوا منها + +666 +00:56:47,060 --> 00:56:51,460 +ال hypoxanthine guanine phosphoribosyl transferase + +667 +00:56:51,460 --> 00:56:55,000 +enzyme وبالتالي it will not survive in a culture + +668 +00:56:56,600 --> 00:57:02,520 +طول ما الانزيم هذا مش موجود. These cells are + +669 +00:57:02,520 --> 00:57:08,020 +infused يعني hybridized مع freshly harvested B + +670 +00:57:08,020 --> 00:57:13,060 +lymphocyte أخدناها من فعها، spleen تبع فعر عرضناها + +671 +00:57:13,060 --> 00:57:18,160 +لانتيجن سابق ماشي عملنا لهم fusion وال + +672 +00:57:18,160 --> 00:57:22,120 +fusion بتم من خلال إضافة مادة كيميائية اسمها + +673 +00:57:22,120 --> 00:57:25,260 +polyethylene glycol بتعمل .. بساعد على fusion + +674 +00:57:26,770 --> 00:57:29,610 +طبعاً في هذه الحالة تجعلنا تلت أنواع من الخلايا + +675 +00:57:29,610 --> 00:57:33,910 +خلايا بالإنفوسايت ما حصل لهاش fusion ثم hybrid + +676 +00:57:33,910 --> 00:57:40,010 +cells حصل لها fusion ثم ال myeloma + +677 +00:57:40,010 --> 00:57:46,350 +cell برضه ما شاركتش في ال hybridization ماشي + +678 +00:57:46,350 --> 00:57:50,210 +بنحطهم كلهم في culture media شو اللي بيصير قالوا + +679 +00:57:50,210 --> 00:57:52,890 +ال antibody producing cell اللي في عندها + +680 +00:57:52,890 --> 00:57:55,710 +hypoxanthin أي جوانين + +681 +00:57:55,710 --> 00:57:59,530 +فوسفوريابوزيليترانسفيريزيينزاين ستنجح ولكن الانزيم + +682 +00:57:59,530 --> 00:58:07,730 +لن يموت لغاية ما يخلص حياته وبعد ذلك ستموت والسل + +683 +00:58:07,730 --> 00:58:12,810 +الماليجنان لا يملك انزيم وبالتالي لن تستطيع أن + +684 +00:58:12,810 --> 00:58:18,370 +تصمد في الكلشر فستموت مين بيبقى لعيننا اللي هو ال + +685 +00:58:18,370 --> 00:58:24,660 +hybridoma cell هذا السل ستنجح طبعا هذه ممكن نفحصها + +686 +00:58:24,660 --> 00:58:29,660 +ببساطة نفحص ال supernatant تبعها by أو ال antibody + +687 +00:58:29,660 --> 00:58:37,820 +producing منها by ELISA technique and those cells + +688 +00:58:37,820 --> 00:58:44,120 +are cloned وكل clone ممكن تكون انها كمية كبيرة من + +689 +00:58:44,120 --> 00:58:47,180 +ال monoclonal antibody with a single specificity + +690 +00:58:48,410 --> 00:58:51,290 +استخدام الـ Monoclonal Antibody غالبا تستخدم في + +691 +00:58:51,290 --> 00:58:55,510 +الـ Diagnostic Technique وكل فعشاطنا في المختبر + +692 +00:58:55,510 --> 00:59:00,830 +تعتمد على الـ Monoclonal Antibody الـ agent كلنا + +693 +00:59:00,830 --> 00:59:04,330 +كل الكتات اللي بنستخدمها غالبا هي Monoclonal + +694 +00:59:04,330 --> 00:59:08,610 +Antibody الأغلى منها هي عبارة عن Monoclonal + +695 +00:59:08,610 --> 00:59:10,670 +Antibody طبعا ال Polyclonal اللي بيدينا cross + +696 +00:59:10,670 --> 00:59:16,770 +reactivity ومش .. و non specific أيضا تستخدم في ال + +697 +00:59:16,770 --> 00:59:22,890 +treatment of cancer شو اللي بيعملوه اليوم بيربطوه + +698 +00:59:22,890 --> 00:59:26,530 +في ديال ال monoclonal antibody ال drug أو ال toxin + +699 +00:59:26,530 --> 00:59:30,270 +و بيحقنوه في المريض بيضل يجري يجري يجري لغاية ما + +700 +00:59:30,270 --> 00:59:33,890 +يصل ال tumor cell أو ال infected cell و هناك بيمسك + +701 +00:59:33,890 --> 00:59:39,070 +فيها وال toxin المربوط فيها أو ال drug بعمل عملية + +702 +00:59:39,070 --> 00:59:43,210 +قتل لها وبالتالي بيصير في targeting therapy + +703 +00:59:43,210 --> 00:59:47,510 +بيسموها العملية targeting therapy + +704 +00:59:49,380 --> 00:59:55,480 +بهيك بنكون انتهينا من المحاضرة أتمنى أن تكونوا يعني قد + +705 +00:59:55,480 --> 00:59:58,320 +استفدتم إن شاء الله و شكرا diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/Ao2FUlFon80_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/Ao2FUlFon80_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..f75df03e724d78be29d622ab97c4b238f8cf2eae --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/Ao2FUlFon80_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 3246, "start": 4.28, "end": 32.46, "text": "بسم الله الرحمن الرحيم سنتكلم اليوم ان شاء الله في المحاضرة الرقم اربع عن ال antibody structure and function ودعونا نستذكر سويا يعني هذه المعلومات لان انا بعرف ان عندكم خلفية عن هذا الموضوع ودعونا نبدأ ان شاء الله واتمنى ان تكون في معلومات جيدة وجديدة لكم", "tokens": [3555, 38251, 21984, 34892, 5016, 27842, 34892, 5016, 32640, 8608, 29399, 4117, 19528, 45595, 20498, 16472, 13412, 16606, 21984, 8978, 9673, 5016, 46958, 25720, 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"probability": 0.978759765625}, {"start": 142.05, "end": 142.25, "word": " في", "probability": 0.72021484375}, {"start": 142.25, "end": 142.81, "word": " بعضها", "probability": 0.9910481770833334}, {"start": 142.81, "end": 143.63, "word": " بيعمل", "probability": 0.825927734375}, {"start": 143.63, "end": 144.03, "word": " crossing", "probability": 0.787109375}, {"start": 144.03, "end": 144.25, "word": " لل", "probability": 0.4541015625}, {"start": 144.25, "end": 144.97, "word": " placenta", "probability": 0.61712646484375}, {"start": 144.97, "end": 145.67, "word": " و", "probability": 0.47119140625}, {"start": 145.67, "end": 146.77, "word": " from", "probability": 0.828125}, {"start": 146.77, "end": 147.09, "word": " mother", "probability": 0.7724609375}, {"start": 147.09, "end": 147.31, "word": " to", "probability": 0.97998046875}, {"start": 147.31, "end": 147.47, "word": " the", "probability": 0.8798828125}, {"start": 147.47, "end": 147.97, "word": " fetus", "probability": 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Electrophoresis اللى بيتمثل بالقاتى هذا طبعا abnormal protein Electrophoresis ل myeloma patient لكن عشان نعرف بس الأوضاع هذا ال album انه في كمان واحدة هنا pre album spike ثم Alpha Globulin و Alpha 2 Globulin", "tokens": [28814, 1863, 3224, 5551, 3215, 2407, 7578, 2423, 12575, 11741, 2706, 271, 13672, 7578, 4724, 36081, 2304, 12984, 1211, 20666, 4587, 9307, 7578, 23758, 23032, 3555, 3615, 995, 32847, 7944, 12575, 11741, 2706, 271, 5296, 452, 338, 6440, 4537, 44381, 6225, 8592, 7649, 8717, 3615, 28480, 4724, 3794, 16247, 2407, 11242, 45761, 23758, 2423, 6030, 16472, 3224, 8978, 9122, 2304, 7649, 36764, 24401, 3660, 34105, 659, 6030, 21053, 38637, 2304, 20588, 10786, 12176, 259, 4032, 20588, 568, 10786, 12176, 259], "avg_logprob": -0.31925154320987653, "compression_ratio": 1.430622009569378, "no_speech_prob": 2.384185791015625e-07, "words": [{"start": 181.96, "end": 183.12, "word": "إنه", "probability": 0.6881510416666666}, {"start": 183.12, "end": 184.28, "word": " أدوى", "probability": 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0.87060546875}], "temperature": 1.0}, {"id": 37, "seek": 103299, "start": 1005.95, "end": 1032.99, "text": "بتكون حاجة بيسموها complementary structure to the antigen epitope يعني مكمل ما احنا عارفين ان ال antigen antibody reaction هو برعنة K-unlocked theory يبقى واحد بده يكون ضبا والتاني مفتاح ففيه complementary structure لازم يتكون عشان واحد يرتبط في التاني these hypervariable regions are termed complementary determining regions", "tokens": [3555, 2655, 30544, 11331, 26108, 3660, 4724, 1829, 38251, 2407, 11296, 40705, 3877, 281, 264, 2511, 3213, 2388, 270, 1114, 37495, 22653, 3714, 24793, 1211, 19446, 1975, 5016, 8315, 6225, 9640, 5172, 9957, 16472, 2423, 2511, 3213, 34507, 5480, 31439, 4724, 2288, 3615, 1863, 3660, 591, 12, 409, 4102, 292, 5261, 7251, 3555, 4587, 7578, 36764, 24401, 47525, 3224, 7251, 30544, 48812, 3555, 995, 16070, 2655, 7649, 1829, 3714, 5172, 2655, 39319, 6156, 41185, 3224, 40705, 3877, 5296, 31377, 2304, 7251, 2655, 30544, 6225, 8592, 7649, 36764, 24401, 7251, 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"word": " complementary", "probability": 0.8984375}, {"start": 1023.09, "end": 1023.81, "word": " structure", "probability": 0.93896484375}, {"start": 1023.81, "end": 1024.19, "word": " لازم", "probability": 0.9742838541666666}, {"start": 1024.19, "end": 1024.79, "word": " يتكون", "probability": 0.8753255208333334}, {"start": 1024.79, "end": 1025.81, "word": " عشان", "probability": 0.9630533854166666}, {"start": 1025.81, "end": 1026.09, "word": " واحد", "probability": 0.983154296875}, {"start": 1026.09, "end": 1026.53, "word": " يرتبط", "probability": 0.9788818359375}, {"start": 1026.53, "end": 1026.65, "word": " في", "probability": 0.81298828125}, {"start": 1026.65, "end": 1027.13, "word": " التاني", "probability": 0.9588216145833334}, {"start": 1027.13, "end": 1028.73, "word": " these", "probability": 0.3896484375}, {"start": 1028.73, "end": 1029.55, "word": " hypervariable", "probability": 0.7529296875}, {"start": 1029.55, "end": 1029.97, "word": " regions", "probability": 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1.0}, {"id": 39, "seek": 108479, "start": 1059.43, "end": 1084.79, "text": "ليس two-dimensional يعني واحدة من الـ heavy واحدة من ال light التنتين مع بعض بكونه اللي هو folded together to form the complementary portion of to the EBITO variability of these CDR provide diversity هي اللي بتوصف بت .. بت .. بتأكد ان او بت ..", "tokens": [20292, 3794, 732, 12, 18759, 37495, 22653, 36764, 24401, 3660, 9154, 2423, 39184, 4676, 36764, 24401, 3660, 9154, 2423, 1442, 16712, 29399, 9957, 20449, 45030, 11242, 4724, 30544, 3224, 13672, 1829, 31439, 23940, 1214, 281, 1254, 264, 40705, 8044, 295, 281, 264, 50148, 3927, 46, 35709, 295, 613, 6743, 49, 2893, 8811, 39896, 13672, 1829, 39894, 2407, 9381, 5172, 39894, 4386, 39894, 4386, 39894, 10721, 4117, 3215, 16472, 1975, 2407, 39894, 4386], "avg_logprob": -0.42080479125454, "compression_ratio": 1.394736842105263, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1059.43, "end": 1059.73, "word": "ليس", "probability": 0.461578369140625}, 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between antibody والاختلافات هذه مطلوبة عشان ترتبط بمختلف أنواع ال antigen اللي موجودة وبالتالي هي من تشكل specificity of antibody لكلهم", "tokens": [3555, 2655, 3555, 9957, 5296, 8315, 34051, 39894, 30544, 5296, 8315, 2423, 47283, 2655, 15040, 5172, 9307, 9673, 46456, 46538, 3660, 8978, 25124, 28820, 1296, 34507, 16070, 47283, 2655, 15040, 5172, 9307, 29538, 3714, 9566, 1211, 37746, 3660, 6225, 8592, 7649, 6055, 43500, 3555, 9566, 4724, 2304, 46456, 46538, 14739, 14407, 3615, 2423, 2511, 3213, 13672, 1829, 3714, 29245, 23328, 3660, 46599, 6027, 2655, 6027, 1829, 39896, 9154, 6055, 8592, 28820, 2685, 507, 295, 34507, 5296, 28820, 16095], "avg_logprob": -0.14725078397159336, "compression_ratio": 1.6521739130434783, "no_speech_prob": 3.159046173095703e-06, "words": [{"start": 1085.58, "end": 1086.32, "word": "بتبين", "probability": 0.67236328125}, {"start": 1086.32, "end": 1086.74, "word": " لنا", "probability": 0.78515625}, {"start": 1086.74, "end": 1086.94, "word": " أو", 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"word": " عشان", "probability": 0.9560546875}, {"start": 1096.96, "end": 1097.68, "word": " ترتبط", "probability": 0.989501953125}, {"start": 1097.68, "end": 1099.76, "word": " بمختلف", "probability": 0.84033203125}, {"start": 1099.76, "end": 1100.92, "word": " أنواع", "probability": 0.91650390625}, {"start": 1100.92, "end": 1101.1, "word": " ال", "probability": 0.97900390625}, {"start": 1101.1, "end": 1101.82, "word": " antigen", "probability": 0.71826171875}, {"start": 1101.82, "end": 1102.44, "word": " اللي", "probability": 0.86572265625}, {"start": 1102.44, "end": 1103.4, "word": " موجودة", "probability": 0.9869384765625}, {"start": 1103.4, "end": 1104.18, "word": " وبالتالي", "probability": 0.96337890625}, {"start": 1104.18, "end": 1104.4, "word": " هي", "probability": 0.8701171875}, {"start": 1104.4, "end": 1104.58, "word": " من", "probability": 0.8115234375}, {"start": 1104.58, "end": 1105.38, "word": " تشكل", "probability": 0.9788411458333334}, {"start": 1105.38, "end": 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response modulation وهي ال structure تلاتة", "tokens": [3224, 24192, 2423, 47283, 2655, 15040, 5172, 9307, 5296, 39184, 4237, 40216, 15957, 1719, 13672, 1829, 3714, 29245, 23328, 3660, 8978, 2423, 39184, 13154, 45841, 12176, 259, 3714, 43020, 7251, 30544, 16247, 3794, 32277, 8978, 16712, 5016, 24793, 20666, 11992, 4134, 42288, 37037, 1829, 2423, 3877, 6055, 1211, 9307, 3660], "avg_logprob": -0.28079044000775205, "compression_ratio": 1.3374233128834356, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 1511.12, "end": 1512.52, "word": "هذه", "probability": 0.889892578125}, {"start": 1512.52, "end": 1513.3, "word": " الاختلافات", "probability": 0.8689371744791666}, {"start": 1513.3, "end": 1513.54, "word": " لـ", "probability": 0.48516845703125}, {"start": 1513.54, "end": 1513.9, "word": " Detopic", "probability": 0.584716796875}, {"start": 1513.9, "end": 1514.84, "word": " determinants", "probability": 0.666259765625}, {"start": 1514.84, "end": 1515.82, "word": " اللي", 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1544.38, "word": " مختلفة", "probability": 0.986083984375}, {"start": 1544.38, "end": 1544.94, "word": " تماما", "probability": 0.9951171875}, {"start": 1544.94, "end": 1545.48, "word": " عن", "probability": 0.9501953125}, {"start": 1545.48, "end": 1545.64, "word": " ال", "probability": 0.69970703125}, {"start": 1545.64, "end": 1546.2, "word": " IGA", "probability": 0.733154296875}, {"start": 1546.2, "end": 1546.9, "word": " المفروض", "probability": 0.84112548828125}, {"start": 1546.9, "end": 1547.18, "word": " انها", "probability": 0.8095703125}, {"start": 1547.18, "end": 1548.14, "word": " Alpha", "probability": 0.493896484375}, {"start": 1548.14, "end": 1549.64, "word": " ال", "probability": 0.97265625}, {"start": 1549.64, "end": 1550.44, "word": " Allotype", "probability": 0.64794921875}, {"start": 1550.44, "end": 1553.08, "word": " في", "probability": 0.82861328125}, {"start": 1553.08, "end": 1553.88, "word": " شوية", "probability": 0.7941080729166666}, {"start": 1553.88, "end": 1554.52, "word": " اختلافات", "probability": 0.9833984375}, {"start": 1554.52, "end": 1554.88, "word": " موجودة", "probability": 0.9779052734375}, {"start": 1554.88, "end": 1554.98, "word": " في", "probability": 0.8857421875}, {"start": 1554.98, "end": 1555.1, "word": " ال", "probability": 0.92822265625}, {"start": 1555.1, "end": 1555.42, "word": " constant", "probability": 0.93994140625}, {"start": 1555.42, "end": 1555.88, "word": " region", "probability": 0.96435546875}], "temperature": 1.0}, {"id": 58, "seek": 158234, "start": 1558.94, "end": 1582.34, "text": "الثانية زي بعض الـ Minoglobulin GA لكن الـ constant region فيها اختلافات في الاشياء وهذه الاختلافات لا ترجعنياش عن وجود الاليليك forms في الجين نفسه بتدينا different form of Minoglobulin الاديو تاعي بالاختلاف وين؟ هذا هو في ال Fab region", "tokens": [6027, 12984, 7649, 10632, 30767, 1829, 45030, 11242, 2423, 39184, 2829, 45841, 12176, 259, 22841, 44381, 2423, 39184, 5754, 4458, 8978, 11296, 1975, 46456, 15040, 5172, 9307, 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" GA", "probability": 0.3125}, {"start": 1562.94, "end": 1564.24, "word": " لكن", "probability": 0.6669921875}, {"start": 1564.24, "end": 1564.54, "word": " الـ", "probability": 0.3514404296875}, {"start": 1564.54, "end": 1564.88, "word": " constant", "probability": 0.48095703125}, {"start": 1564.88, "end": 1565.34, "word": " region", "probability": 0.8720703125}, {"start": 1565.34, "end": 1565.7, "word": " فيها", "probability": 0.811279296875}, {"start": 1565.7, "end": 1566.66, "word": " اختلافات", "probability": 0.878076171875}, {"start": 1566.66, "end": 1566.76, "word": " في", "probability": 0.489501953125}, {"start": 1566.76, "end": 1567.04, "word": " الاشياء", "probability": 0.50030517578125}, {"start": 1567.04, "end": 1567.32, "word": " وهذه", "probability": 0.686767578125}, {"start": 1567.32, "end": 1568.28, "word": " الاختلافات", "probability": 0.8856201171875}, {"start": 1568.28, "end": 1568.4, "word": " لا", "probability": 0.360107421875}, {"start": 1568.4, "end": 1569.06, "word": " ترجعنياش", "probability": 0.667529296875}, {"start": 1569.06, "end": 1569.98, "word": " عن", "probability": 0.479736328125}, {"start": 1569.98, "end": 1570.88, "word": " وجود", "probability": 0.9501953125}, {"start": 1570.88, "end": 1571.34, "word": " الاليليك", "probability": 0.599951171875}, {"start": 1571.34, "end": 1571.84, "word": " forms", "probability": 0.4443359375}, {"start": 1571.84, "end": 1572.54, "word": " في", "probability": 0.84326171875}, {"start": 1572.54, "end": 1573.84, "word": " الجين", "probability": 0.6785888671875}, {"start": 1573.84, "end": 1574.5, "word": " نفسه", "probability": 0.9796549479166666}, {"start": 1574.5, "end": 1575.46, "word": " بتدينا", "probability": 0.51824951171875}, {"start": 1575.46, "end": 1575.72, "word": " different", "probability": 0.6650390625}, {"start": 1575.72, "end": 1576.44, "word": " form", "probability": 0.798828125}, {"start": 1576.44, "end": 1577.06, "word": " of", "probability": 0.9052734375}, {"start": 1577.06, "end": 1577.96, "word": " Minoglobulin", "probability": 0.7354736328125}, {"start": 1577.96, "end": 1579.16, "word": " الاديو", "probability": 0.626739501953125}, {"start": 1579.16, "end": 1579.48, "word": " تاعي", "probability": 0.5174153645833334}, {"start": 1579.48, "end": 1580.06, "word": " بالاختلاف", "probability": 0.90146484375}, {"start": 1580.06, "end": 1580.72, "word": " وين؟", "probability": 0.5230305989583334}, {"start": 1580.72, "end": 1580.84, "word": " هذا", "probability": 0.445556640625}, {"start": 1580.84, "end": 1581.04, "word": " هو", "probability": 0.89599609375}, {"start": 1581.04, "end": 1581.56, "word": " في", "probability": 0.845703125}, {"start": 1581.56, "end": 1581.66, "word": " ال", "probability": 0.7119140625}, {"start": 1581.66, "end": 1581.88, "word": " Fab", "probability": 0.28955078125}, {"start": 1581.88, "end": 1582.34, "word": " region", "probability": 0.77099609375}], "temperature": 1.0}, {"id": 59, "seek": 160772, "start": 1583.46, "end": 1607.72, "text": "الاختلاف بين الـ IgG وبالتالي فى عندنا different specific specificity لكن زى ما قلنا لكوا انه هذا لو انتقل من سن لإنسان it will be considered immunogenic immunoglobulin G هو اللى بنيه dominant immunoglobulin فى blood فى lymph node فى lymph", "tokens": [6027, 47283, 2655, 15040, 5172, 49374, 2423, 39184, 19271, 38, 46599, 6027, 2655, 6027, 1829, 6156, 7578, 43242, 8315, 819, 2685, 2685, 507, 44381, 30767, 7578, 19446, 12174, 1211, 8315, 5296, 4117, 14407, 16472, 3224, 23758, 45164, 16472, 2655, 4587, 1211, 9154, 8608, 1863, 5296, 28814, 1863, 3794, 7649, 309, 486, 312, 4888, 13154, 25473, 13154, 45841, 12176, 259, 460, 31439, 13672, 7578, 4724, 22653, 3224, 15657, 13154, 45841, 12176, 259, 6156, 7578, 3390, 6156, 7578, 31070, 9984, 6156, 7578, 31070], "avg_logprob": -0.37461889626049416, "compression_ratio": 1.5046728971962617, "no_speech_prob": 1.7881393432617188e-07, "words": [{"start": 1583.46, "end": 1584.22, "word": "الاختلاف", "probability": 0.79697265625}, {"start": 1584.22, "end": 1584.36, "word": " بين", "probability": 0.8857421875}, {"start": 1584.36, "end": 1584.52, "word": " الـ", "probability": 0.251800537109375}, {"start": 1584.52, "end": 1585.02, "word": " IgG", "probability": 0.888916015625}, {"start": 1585.02, "end": 1585.56, "word": " وبالتالي", "probability": 0.80245361328125}, {"start": 1585.56, "end": 1585.7, "word": " فى", "probability": 0.4002685546875}, {"start": 1585.7, "end": 1585.86, "word": " عندنا", "probability": 0.709716796875}, {"start": 1585.86, "end": 1586.36, "word": " different", "probability": 0.1409912109375}, {"start": 1586.36, "end": 1587.4, "word": " specific", "probability": 0.89990234375}, {"start": 1587.4, "end": 1588.84, "word": " specificity", "probability": 0.73095703125}, {"start": 1588.84, "end": 1589.62, "word": " لكن", "probability": 0.8740234375}, {"start": 1589.62, "end": 1589.84, "word": " زى", "probability": 0.90576171875}, {"start": 1589.84, "end": 1589.92, "word": " ما", "probability": 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{"start": 1594.42, "end": 1595.0, "word": " considered", "probability": 0.80322265625}, {"start": 1595.0, "end": 1595.88, "word": " immunogenic", "probability": 0.93505859375}, {"start": 1595.88, "end": 1601.24, "word": " immunoglobulin", "probability": 0.746551513671875}, {"start": 1601.24, "end": 1601.52, "word": " G", "probability": 0.5927734375}, {"start": 1601.52, "end": 1603.08, "word": " هو", "probability": 0.93115234375}, {"start": 1603.08, "end": 1603.24, "word": " اللى", "probability": 0.84716796875}, {"start": 1603.24, "end": 1603.46, "word": " بنيه", "probability": 0.66943359375}, {"start": 1603.46, "end": 1604.02, "word": " dominant", "probability": 0.93212890625}, {"start": 1604.02, "end": 1604.74, "word": " immunoglobulin", "probability": 0.92333984375}, {"start": 1604.74, "end": 1605.0, "word": " فى", "probability": 0.8203125}, {"start": 1605.0, "end": 1605.34, "word": " blood", "probability": 0.59619140625}, {"start": 1605.34, "end": 1605.9, "word": " فى", "probability": 0.850341796875}, {"start": 1605.9, "end": 1606.1, "word": " lymph", "probability": 0.734375}, {"start": 1606.1, "end": 1606.6, "word": " node", "probability": 0.72607421875}, {"start": 1606.6, "end": 1607.4, "word": " فى", "probability": 0.8876953125}, {"start": 1607.4, "end": 1607.72, "word": " lymph", "probability": 0.57470703125}], "temperature": 1.0}, {"id": 60, "seek": 163889, "start": 1610.55, "end": 1638.89, "text": "الـ fluid و في الـ CSF البريتونيال الـ fluid يعني الموجود في different types of fluid في الجسم و غالبا it's distributed equally between intravascular and extravascular يعني اللي في جوا و برا تقريبا نفس الحاجة بيتكوّن من two gamma wave chain و two lighted chain إلا إما كابا و إما لامبدا", "tokens": [6027, 39184, 9113, 4032, 8978, 2423, 39184, 9460, 37, 2423, 26890, 36081, 11536, 1829, 6027, 2423, 39184, 9113, 37495, 22653, 9673, 29245, 23328, 8978, 819, 3467, 295, 9113, 8978, 25724, 38251, 4032, 32771, 6027, 3555, 995, 309, 311, 12631, 12309, 1296, 560, 13404, 22084, 293, 1279, 13404, 22084, 37495, 22653, 13672, 1829, 8978, 10874, 14407, 4032, 4724, 23557, 6055, 4587, 16572, 3555, 995, 8717, 36178, 21542, 26108, 3660, 4724, 36081, 4117, 2407, 11703, 1863, 9154, 732, 15546, 5772, 5021, 4032, 732, 1442, 292, 5021, 11933, 15040, 11933, 15042, 9122, 16758, 995, 4032, 11933, 15042, 5296, 10943, 3555, 28259], "avg_logprob": -0.3667929166495198, "compression_ratio": 1.5816733067729083, "no_speech_prob": 1.5497207641601562e-06, "words": [{"start": 1610.55, "end": 1610.85, "word": "الـ", "probability": 0.112060546875}, {"start": 1610.85, "end": 1610.95, "word": " fluid", "probability": 0.483154296875}, {"start": 1610.95, "end": 1611.95, "word": " و", "probability": 0.312744140625}, {"start": 1611.95, "end": 1612.23, "word": " في", "probability": 0.489990234375}, {"start": 1612.23, "end": 1612.37, "word": " الـ", "probability": 0.5267333984375}, {"start": 1612.37, "end": 1613.07, "word": " CSF", "probability": 0.768798828125}, {"start": 1613.07, "end": 1614.33, "word": " البريتونيال", "probability": 0.5501708984375}, {"start": 1614.33, "end": 1614.39, "word": " الـ", "probability": 0.487548828125}, {"start": 1614.39, "end": 1614.69, "word": " fluid", "probability": 0.74755859375}, {"start": 1614.69, "end": 1614.97, "word": " يعني", "probability": 0.82470703125}, {"start": 1614.97, "end": 1615.71, "word": " الموجود", "probability": 0.7245279947916666}, {"start": 1615.71, "end": 1616.01, "word": " في", "probability": 0.92236328125}, {"start": 1616.01, "end": 1616.97, "word": " different", "probability": 0.213623046875}, {"start": 1616.97, "end": 1617.43, "word": " types", "probability": 0.8642578125}, {"start": 1617.43, "end": 1617.59, "word": " of", "probability": 0.95068359375}, {"start": 1617.59, "end": 1617.93, "word": " fluid", "probability": 0.8515625}, {"start": 1617.93, "end": 1618.15, "word": " في", "probability": 0.92431640625}, {"start": 1618.15, "end": 1618.61, "word": " الجسم", "probability": 0.99169921875}, {"start": 1618.61, "end": 1619.63, "word": " و", "probability": 0.92626953125}, {"start": 1619.63, "end": 1620.13, "word": " غالبا", "probability": 0.9635009765625}, {"start": 1620.13, "end": 1620.59, "word": " it's", "probability": 0.4000244140625}, {"start": 1620.59, "end": 1621.31, "word": " distributed", "probability": 0.869140625}, {"start": 1621.31, "end": 1621.89, "word": " equally", "probability": 0.8740234375}, {"start": 1621.89, "end": 1622.19, "word": " between", "probability": 0.9365234375}, {"start": 1622.19, "end": 1622.95, "word": " intravascular", "probability": 0.7566731770833334}, {"start": 1622.95, "end": 1623.21, "word": " and", "probability": 0.8447265625}, {"start": 1623.21, "end": 1624.13, "word": " extravascular", "probability": 0.8225911458333334}, {"start": 1624.13, "end": 1624.93, "word": " يعني", "probability": 0.94482421875}, {"start": 1624.93, "end": 1625.09, "word": " اللي", "probability": 0.95703125}, {"start": 1625.09, "end": 1625.25, "word": " في", "probability": 0.939453125}, {"start": 1625.25, "end": 1625.55, "word": " جوا", "probability": 0.5040283203125}, {"start": 1625.55, "end": 1625.67, "word": " و", "probability": 0.935546875}, {"start": 1625.67, "end": 1626.03, "word": " برا", "probability": 0.897216796875}, {"start": 1626.03, "end": 1627.19, "word": " تقريبا", "probability": 0.98603515625}, {"start": 1627.19, "end": 1627.55, "word": " نفس", "probability": 0.992919921875}, {"start": 1627.55, "end": 1629.05, "word": " الحاجة", "probability": 0.990234375}, {"start": 1629.05, "end": 1630.15, "word": " بيتكوّن", "probability": 0.8247884114583334}, {"start": 1630.15, "end": 1630.35, "word": " من", "probability": 0.9921875}, {"start": 1630.35, "end": 1630.57, "word": " two", "probability": 0.72412109375}, {"start": 1630.57, "end": 1630.87, "word": " gamma", "probability": 0.78271484375}, {"start": 1630.87, "end": 1631.13, "word": " wave", "probability": 0.3203125}, {"start": 1631.13, "end": 1631.63, "word": " 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"word": " يطلع", "probability": 0.83538818359375}, {"start": 2157.67, "end": 2157.91, "word": " يوم", "probability": 0.90185546875}, {"start": 2157.91, "end": 2158.05, "word": " ما", "probability": 0.83349609375}, {"start": 2158.05, "end": 2158.23, "word": " يكون", "probability": 0.97607421875}, {"start": 2158.23, "end": 2158.47, "word": " فيه", "probability": 0.934326171875}, {"start": 2158.47, "end": 2158.95, "word": " Infection", "probability": 0.6818644205729166}, {"start": 2158.95, "end": 2161.61, "word": " ووجوده", "probability": 0.8785400390625}, {"start": 2161.61, "end": 2162.23, "word": " Indicate", "probability": 0.573486328125}, {"start": 2162.23, "end": 2163.15, "word": " انه", "probability": 0.720947265625}, {"start": 2163.15, "end": 2163.43, "word": " فيه", "probability": 0.912841796875}, {"start": 2163.43, "end": 2163.85, "word": " Recent", "probability": 0.56787109375}, {"start": 2163.85, "end": 2165.25, "word": " Infection", "probability": 0.8880208333333334}, 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" SS", "probability": 0.7373046875}, {"start": 2199.12, "end": 2199.58, "word": " bond", "probability": 0.6552734375}, {"start": 2199.58, "end": 2202.7, "word": " بيرتبطوا", "probability": 0.8721923828125}, {"start": 2202.7, "end": 2202.82, "word": " من", "probability": 0.98583984375}, {"start": 2202.82, "end": 2203.04, "word": " ناحية", "probability": 0.8196614583333334}, {"start": 2203.04, "end": 2203.14, "word": " ال", "probability": 0.87158203125}, {"start": 2203.14, "end": 2203.36, "word": " FC", "probability": 0.79248046875}, {"start": 2203.36, "end": 2203.92, "word": " portion", "probability": 0.8896484375}, {"start": 2203.92, "end": 2206.16, "word": " و", "probability": 0.78466796875}, {"start": 2206.16, "end": 2207.02, "word": " بيكونوا", "probability": 0.8192138671875}, {"start": 2207.02, "end": 2207.38, "word": " ال", "probability": 0.85107421875}, {"start": 2207.38, "end": 2207.64, "word": " J", "probability": 0.80126953125}, {"start": 2207.64, "end": 2208.18, "word": " chain", "probability": 0.486083984375}], "temperature": 1.0}, {"id": 82, "seek": 222471, "start": 2210.72, "end": 2224.72, "text": "بتصنع أيضًا في الـ B-Oriblasma Cell الـ IgM أيضًا موجود Intramuscular وموجود على سطح الـ B-Lymphocyte وهو IGD", "tokens": [3555, 2655, 9381, 1863, 3615, 36632, 11242, 14111, 995, 8978, 2423, 39184, 363, 12, 21520, 897, 7743, 1696, 28859, 2423, 39184, 19271, 44, 36632, 11242, 14111, 995, 3714, 29245, 23328, 5681, 2356, 301, 17792, 4032, 2304, 29245, 23328, 15844, 8608, 9566, 5016, 2423, 39184, 363, 12, 43, 25161, 31078, 975, 37037, 2407, 26367, 35], "avg_logprob": -0.3803977391936562, "compression_ratio": 1.2015503875968991, "no_speech_prob": 1.2516975402832031e-06, "words": [{"start": 2210.72, "end": 2211.64, "word": "بتصنع", "probability": 0.634130859375}, {"start": 2211.64, "end": 2211.76, "word": " أيضًا", "probability": 0.78814697265625}, {"start": 2211.76, "end": 2212.02, "word": " في", "probability": 0.69384765625}, {"start": 2212.02, "end": 2212.38, "word": " الـ", "probability": 0.679443359375}, {"start": 2212.38, "end": 2212.7, "word": " B", "probability": 0.50146484375}, {"start": 2212.7, "end": 2214.2, "word": "-Oriblasma", "probability": 0.58759765625}, {"start": 2214.2, "end": 2214.5, "word": " Cell", "probability": 0.55517578125}, {"start": 2214.5, "end": 2216.0, "word": " الـ", "probability": 0.47943115234375}, {"start": 2216.0, "end": 2216.5, "word": " IgM", "probability": 0.815185546875}, {"start": 2216.5, "end": 2217.26, "word": " أيضًا", "probability": 0.8856201171875}, {"start": 2217.26, "end": 2217.6, "word": " موجود", "probability": 0.96923828125}, {"start": 2217.6, "end": 2218.44, "word": " Intramuscular", "probability": 0.66595458984375}, {"start": 2218.44, "end": 2220.94, "word": " وموجود", "probability": 0.72735595703125}, {"start": 2220.94, "end": 2221.08, "word": " على", "probability": 0.93701171875}, {"start": 2221.08, "end": 2221.5, "word": " سطح", "probability": 0.9801432291666666}, {"start": 2221.5, "end": 2221.84, "word": " الـ", "probability": 0.821044921875}, {"start": 2221.84, "end": 2222.06, "word": " B", "probability": 0.88818359375}, {"start": 2222.06, "end": 2223.18, "word": "-Lymphocyte", "probability": 0.89072265625}, {"start": 2223.18, "end": 2223.94, "word": " وهو", "probability": 0.6873779296875}, {"start": 2223.94, "end": 2224.72, "word": " IGD", "probability": 0.7117919921875}], "temperature": 1.0}, {"id": 83, "seek": 225357, "start": 2225.39, "end": 2253.57, "text": "بيكونوا ال PCR اللي هيرتبط بالانتجن انتجن specific PCR ال IGM من صفاته انه excellent complement fixing بنشط ال complement بنجاح و ايضا efficient agglutinating antibody و بيكون ال ISO hemagglutinin و ال ISO ال hemagglutinin هم عبارة عن naturally occurring IGM antibody موجودين", "tokens": [3555, 1829, 30544, 14407, 2423, 44022, 13672, 1829, 39896, 43500, 3555, 9566, 20666, 7649, 2655, 7435, 1863, 16472, 2655, 7435, 1863, 2685, 44022, 2423, 26367, 44, 9154, 20328, 5172, 9307, 3224, 16472, 3224, 7103, 17103, 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"end": 2231.13, "word": " انتجن", "probability": 0.77813720703125}, {"start": 2231.13, "end": 2231.63, "word": " specific", "probability": 0.60546875}, {"start": 2231.63, "end": 2232.33, "word": " PCR", "probability": 0.92822265625}, {"start": 2232.33, "end": 2233.73, "word": " ال", "probability": 0.76806640625}, {"start": 2233.73, "end": 2234.25, "word": " IGM", "probability": 0.6834716796875}, {"start": 2234.25, "end": 2234.43, "word": " من", "probability": 0.79248046875}, {"start": 2234.43, "end": 2234.91, "word": " صفاته", "probability": 0.92724609375}, {"start": 2234.91, "end": 2235.19, "word": " انه", "probability": 0.73046875}, {"start": 2235.19, "end": 2235.75, "word": " excellent", "probability": 0.6357421875}, {"start": 2235.75, "end": 2236.29, "word": " complement", "probability": 0.71240234375}, {"start": 2236.29, "end": 2236.89, "word": " fixing", "probability": 0.89794921875}, {"start": 2236.89, "end": 2237.45, "word": " بنشط", "probability": 0.8492838541666666}, {"start": 2237.45, "end": 2237.61, "word": " ال", "probability": 0.70556640625}, {"start": 2237.61, "end": 2237.93, "word": " complement", "probability": 0.74853515625}, {"start": 2237.93, "end": 2239.23, "word": " بنجاح", "probability": 0.96435546875}, {"start": 2239.23, "end": 2240.07, "word": " و", "probability": 0.70947265625}, {"start": 2240.07, "end": 2240.71, "word": " ايضا", "probability": 0.8616943359375}, {"start": 2240.71, "end": 2241.43, "word": " efficient", "probability": 0.595703125}, {"start": 2241.43, "end": 2242.37, "word": " agglutinating", "probability": 0.9293212890625}, {"start": 2242.37, "end": 2243.21, "word": " antibody", "probability": 0.8974609375}, {"start": 2243.21, "end": 2244.69, "word": " و", "probability": 0.5927734375}, {"start": 2244.69, "end": 2245.13, "word": " بيكون", "probability": 0.806640625}, {"start": 2245.13, "end": 2245.27, "word": " ال", "probability": 0.869140625}, {"start": 2245.27, "end": 2245.57, "word": " ISO", "probability": 0.76416015625}, {"start": 2245.57, "end": 2246.77, "word": " hemagglutinin", "probability": 0.830908203125}, {"start": 2246.77, "end": 2247.33, "word": " و", "probability": 0.291259765625}, {"start": 2247.33, "end": 2247.41, "word": " ال", "probability": 0.59423828125}, {"start": 2247.41, "end": 2247.77, "word": " ISO", "probability": 0.9345703125}, {"start": 2247.77, "end": 2248.15, "word": " ال", "probability": 0.55517578125}, {"start": 2248.15, "end": 2249.29, "word": " hemagglutinin", "probability": 0.88095703125}, {"start": 2249.29, "end": 2249.81, "word": " هم", "probability": 0.78662109375}, {"start": 2249.81, "end": 2250.03, "word": " عبارة", "probability": 0.938720703125}, {"start": 2250.03, "end": 2250.19, "word": " عن", "probability": 0.97216796875}, {"start": 2250.19, "end": 2250.51, "word": " naturally", "probability": 0.4140625}, {"start": 2250.51, "end": 2251.05, "word": " occurring", "probability": 0.935546875}, {"start": 2251.05, "end": 2251.65, "word": " IGM", "probability": 0.80419921875}, {"start": 2251.65, "end": 2252.27, "word": " antibody", "probability": 0.63818359375}, {"start": 2252.27, "end": 2253.57, "word": " موجودين", "probability": 0.9854736328125}], "temperature": 1.0}, {"id": 84, "seek": 225855, "start": 2254.11, "end": 2258.55, "text": "against RBCs antigen يعني ال A B O antigen", "tokens": [39372, 372, 497, 7869, 82, 2511, 3213, 37495, 22653, 2423, 316, 363, 422, 2511, 3213], "avg_logprob": -0.41748046875, "compression_ratio": 0.9411764705882353, "no_speech_prob": 0.0, "words": [{"start": 2254.11, "end": 2254.89, "word": "against", "probability": 0.7042236328125}, {"start": 2254.89, "end": 2255.49, "word": " RBCs", "probability": 0.6708984375}, {"start": 2255.49, "end": 2256.07, "word": " antigen", "probability": 0.791259765625}, {"start": 2256.07, "end": 2257.33, "word": " يعني", "probability": 0.806640625}, {"start": 2257.33, "end": 2257.47, "word": " ال", "probability": 0.92822265625}, {"start": 2257.47, "end": 2257.61, 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{"start": 2660.91, "end": 2662.57, "word": " الهستامين", "probability": 0.77861328125}, {"start": 2662.57, "end": 2664.01, "word": " والهيبرين", "probability": 0.81875}, {"start": 2664.01, "end": 2665.51, "word": " واليوكترين", "probability": 0.8643973214285714}, {"start": 2665.51, "end": 2667.17, "word": " بيسموه", "probability": 0.68603515625}, {"start": 2667.17, "end": 2667.37, "word": " ال", "probability": 0.861328125}, {"start": 2667.37, "end": 2667.81, "word": " receptor", "probability": 0.65673828125}, {"start": 2667.81, "end": 2669.21, "word": " FCY", "probability": 0.3856201171875}], "temperature": 1.0}, {"id": 101, "seek": 269400, "start": 2673.62, "end": 2694.0, "text": "وهذه طبعا اللى هى جدول بيبين لى different chemical and physical properties of immunoglobulins المختلفة اللى سميناهم isotopes هو هى ال structure of different isotypes اللى موجودة فى الجسم", "tokens": [2407, 3224, 24192, 23032, 3555, 3615, 995, 13672, 7578, 8032, 7578, 10874, 3215, 12610, 4724, 1829, 3555, 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intestinal mucosa ده هو بيطلع ال IGG بياخده ال antigen في ال FCRP اللى هو protection لل FCRP برتبط بال antibody ده هو ال antibody اللى ماسك antigen", "tokens": [2407, 3224, 1829, 2423, 2573, 13672, 7578, 12174, 12610, 8315, 9122, 33911, 4724, 1829, 9381, 13546, 8978, 3224, 6334, 24976, 13154, 45841, 12176, 259, 26367, 38, 8978, 2423, 21098, 2071, 275, 1311, 6447, 11778, 3224, 31439, 4724, 1829, 9566, 1211, 3615, 2423, 26367, 38, 4724, 1829, 47283, 3215, 3224, 2423, 2511, 3213, 8978, 2423, 479, 18547, 47, 13672, 7578, 31439, 6334, 24976, 479, 18547, 47, 4724, 43500, 3555, 9566, 20666, 34507, 11778, 3224, 31439, 2423, 34507, 13672, 7578, 19446, 3794, 4117, 2511, 3213], "avg_logprob": -0.26748513323920114, "compression_ratio": 1.6263157894736842, "no_speech_prob": 0.0, "words": [{"start": 2697.52, "end": 2698.58, "word": "وهي", "probability": 0.419677734375}, {"start": 2698.58, "end": 2699.64, "word": " ال", "probability": 0.44775390625}, {"start": 2699.64, "end": 2699.94, "word": " 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2909.89, "end": 2910.45, "word": " تكون", "probability": 0.926025390625}, {"start": 2910.45, "end": 2910.81, "word": " pool", "probability": 0.76123046875}, {"start": 2910.81, "end": 2911.15, "word": " of", "probability": 0.92578125}, {"start": 2911.15, "end": 2911.51, "word": " memory", "probability": 0.9228515625}, {"start": 2911.51, "end": 2911.91, "word": " cell", "probability": 0.89306640625}, {"start": 2911.91, "end": 2913.85, "word": " and", "probability": 0.84716796875}, {"start": 2913.85, "end": 2914.07, "word": " this", "probability": 0.68408203125}, {"start": 2914.07, "end": 2914.39, "word": " memory", "probability": 0.93505859375}, {"start": 2914.39, "end": 2914.81, "word": " cell", "probability": 0.93603515625}], "temperature": 1.0}, {"id": 110, "seek": 293390, "start": 2915.34, "end": 2933.9, "text": "عندها القدرة to mount a secondary response of the same antigen في secondary or memory response بيسموه بعد مرات anamnestic response بيصير فيه طبعا apparent response to the antigen", "tokens": [3615, 41260, 11296, 25062, 3215, 25720, 281, 3746, 257, 11396, 4134, 295, 264, 912, 2511, 3213, 8978, 11396, 420, 4675, 4134, 4724, 1829, 38251, 2407, 3224, 39182, 3714, 2288, 9307, 364, 335, 77, 8326, 4134, 4724, 1829, 9381, 13546, 8978, 3224, 23032, 3555, 3615, 995, 18335, 4134, 281, 264, 2511, 3213], "avg_logprob": -0.21529447430601487, "compression_ratio": 1.4210526315789473, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 2915.34, "end": 2915.76, "word": "عندها", "probability": 0.8221028645833334}, {"start": 2915.76, "end": 2916.22, "word": " القدرة", "probability": 0.982421875}, {"start": 2916.22, "end": 2916.5, "word": " to", "probability": 0.5849609375}, {"start": 2916.5, "end": 2916.98, "word": " mount", "probability": 0.91796875}, {"start": 2916.98, "end": 2917.46, "word": " a", "probability": 0.96728515625}, {"start": 2917.46, "end": 2917.9, "word": " secondary", "probability": 0.92333984375}, {"start": 2917.9, "end": 2918.46, "word": " response", "probability": 0.9521484375}, {"start": 2918.46, "end": 2918.7, "word": " of", "probability": 0.9169921875}, {"start": 2918.7, "end": 2918.84, "word": " the", "probability": 0.9296875}, {"start": 2918.84, "end": 2919.1, "word": " same", "probability": 0.904296875}, {"start": 2919.1, "end": 2919.64, "word": " antigen", "probability": 0.938720703125}, {"start": 2919.64, "end": 2921.14, "word": " في", "probability": 0.576171875}, {"start": 2921.14, "end": 2921.66, "word": " secondary", "probability": 0.4501953125}, {"start": 2921.66, "end": 2923.3, "word": " or", "probability": 0.55517578125}, {"start": 2923.3, "end": 2924.76, "word": " memory", "probability": 0.475341796875}, {"start": 2924.76, "end": 2925.52, "word": " response", "probability": 0.93505859375}, {"start": 2925.52, "end": 2926.04, "word": " بيسموه", "probability": 0.83818359375}, {"start": 2926.04, "end": 2926.22, "word": " بعد", "probability": 0.53564453125}, {"start": 2926.22, "end": 2926.6, "word": " مرات", "probability": 0.9508463541666666}, {"start": 2926.6, "end": 2927.24, "word": " anamnestic", "probability": 0.67059326171875}, {"start": 2927.24, "end": 2928.16, "word": " response", "probability": 0.9404296875}, {"start": 2928.16, "end": 2929.88, "word": " بيصير", "probability": 0.9049072265625}, {"start": 2929.88, "end": 2930.44, "word": " فيه", "probability": 0.829833984375}, {"start": 2930.44, "end": 2930.92, "word": " طبعا", "probability": 0.851318359375}, {"start": 2930.92, "end": 2932.46, "word": " apparent", "probability": 0.36376953125}, {"start": 2932.46, "end": 2933.02, "word": " response", "probability": 0.96484375}, {"start": 2933.02, "end": 2933.24, "word": " to", "probability": 0.93505859375}, {"start": 2933.24, "end": 2933.42, "word": " the", "probability": 0.89404296875}, {"start": 2933.42, "end": 2933.9, "word": " antigen", "probability": 0.959228515625}], "temperature": 1.0}, {"id": 111, "seek": 296290, "start": 2935.24, "end": 2962.9, "text": "و غالبا بتتم في هذا ال response اللي بيكون ال lag phase is shorter و ال antibody اللي بينتج بيكون أكتر و it lasts longer بمعنى بتول for month or years ال IgG antibody", "tokens": [2407, 32771, 6027, 3555, 995, 39894, 39237, 8978, 23758, 2423, 4134, 13672, 1829, 4724, 1829, 30544, 2423, 8953, 5574, 307, 11639, 4032, 2423, 34507, 13672, 1829, 4724, 1829, 29399, 7435, 4724, 1829, 30544, 5551, 4117, 2655, 2288, 4032, 309, 20669, 2854, 4724, 2304, 3615, 1863, 7578, 39894, 12610, 337, 1618, 420, 924, 2423, 19271, 38, 34507], "avg_logprob": -0.23300439014769436, "compression_ratio": 1.4012345679012346, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 2935.24, "end": 2935.78, "word": "و", "probability": 0.79443359375}, {"start": 2935.78, "end": 2937.04, "word": " غالبا", "probability": 0.8109130859375}, {"start": 2937.04, "end": 2938.06, "word": " بتتم", "probability": 0.581298828125}, {"start": 2938.06, "end": 2939.8, "word": " في", "probability": 0.87548828125}, {"start": 2939.8, "end": 2940.08, "word": " هذا", "probability": 0.8291015625}, {"start": 2940.08, "end": 2940.18, "word": " ال", "probability": 0.82470703125}, {"start": 2940.18, "end": 2940.74, "word": " response", "probability": 0.6435546875}, {"start": 2940.74, "end": 2941.56, "word": " اللي", "probability": 0.740478515625}, {"start": 2941.56, "end": 2941.9, "word": " بيكون", "probability": 0.8671875}, {"start": 2941.9, "end": 2942.04, "word": " ال", "probability": 0.78466796875}, {"start": 2942.04, "end": 2942.24, "word": " lag", "probability": 0.95361328125}, {"start": 2942.24, "end": 2942.74, "word": " phase", "probability": 0.82666015625}, {"start": 2942.74, "end": 2943.5, "word": " is", "probability": 0.71728515625}, {"start": 2943.5, "end": 2943.96, "word": " shorter", "probability": 0.869140625}, {"start": 2943.96, "end": 2944.68, "word": " و", "probability": 0.57275390625}, {"start": 2944.68, "end": 2944.78, "word": " ال", "probability": 0.939453125}, {"start": 2944.78, "end": 2945.24, "word": " antibody", "probability": 0.8359375}, {"start": 2945.24, "end": 2945.84, "word": " اللي", "probability": 0.928466796875}, {"start": 2945.84, "end": 2946.58, "word": " بينتج", "probability": 0.77764892578125}, {"start": 2946.58, "end": 2947.12, "word": " بيكون", "probability": 0.93359375}, {"start": 2947.12, "end": 2948.64, "word": " أكتر", "probability": 0.8907470703125}, {"start": 2948.64, "end": 2949.52, "word": " و", "probability": 0.9384765625}, {"start": 2949.52, "end": 2949.98, "word": " it", "probability": 0.8671875}, {"start": 2949.98, "end": 2951.42, "word": " lasts", "probability": 0.6337890625}, {"start": 2951.42, "end": 2952.76, "word": " longer", "probability": 0.96484375}, {"start": 2952.76, "end": 2953.6, "word": " بمعنى", "probability": 0.96318359375}, {"start": 2953.6, "end": 2954.16, "word": " بتول", "probability": 0.63525390625}, {"start": 2954.16, "end": 2954.98, "word": " for", "probability": 0.78564453125}, {"start": 2954.98, "end": 2955.44, "word": " month", "probability": 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عن", "probability": 0.9951171875}, {"start": 2981.09, "end": 2981.33, "word": " has", "probability": 0.0584716796875}, {"start": 2981.33, "end": 2981.49, "word": " the", "probability": 0.89990234375}, {"start": 2981.49, "end": 2981.73, "word": " same", "probability": 0.8720703125}, {"start": 2981.73, "end": 2982.77, "word": " specificity", "probability": 0.9814453125}, {"start": 2982.77, "end": 2983.35, "word": " as", "probability": 0.88330078125}, {"start": 2983.35, "end": 2984.15, "word": " IgM", "probability": 0.96337890625}, {"start": 2984.15, "end": 2984.39, "word": " اللي", "probability": 0.95556640625}, {"start": 2984.39, "end": 2985.19, "word": " طلع", "probability": 0.9842122395833334}, {"start": 2985.19, "end": 2985.91, "word": " بصير", "probability": 0.7400716145833334}, {"start": 2985.91, "end": 2986.07, "word": " في", "probability": 0.85009765625}, {"start": 2986.07, "end": 2986.55, "word": " affinity", "probability": 0.52880859375}, {"start": 2986.55, "end": 2986.95, "word": " of", "probability": 0.62939453125}, {"start": 2986.95, "end": 2987.61, "word": " maturation", "probability": 0.96044921875}, {"start": 2987.61, "end": 2987.79, "word": " في", "probability": 0.8349609375}, {"start": 2987.79, "end": 2987.89, "word": " ال", "probability": 0.8330078125}, {"start": 2987.89, "end": 2988.15, "word": " class", "probability": 0.63818359375}, {"start": 2988.15, "end": 2988.65, "word": "-switching", "probability": 0.79547119140625}, {"start": 2988.65, "end": 2989.27, "word": " وبالتالي", "probability": 0.8712890625}, {"start": 2989.27, "end": 2989.77, "word": " قدرة", "probability": 0.9734700520833334}, {"start": 2989.77, "end": 2990.01, "word": " ال", "probability": 0.93359375}, {"start": 2990.01, "end": 2990.45, "word": " antibody", "probability": 0.456298828125}, {"start": 2990.45, "end": 2990.73, "word": " اللي", "probability": 0.9248046875}, {"start": 2990.73, "end": 2991.11, "word": " بيطلع", "probability": 0.94208984375}, {"start": 2991.11, "end": 2991.29, "word": " على", "probability": 0.875}, {"start": 2991.29, "end": 2991.83, "word": " الارتباط", "probability": 0.865283203125}, {"start": 2991.83, "end": 2992.55, "word": " بالانتجن", "probability": 0.6702392578125}, {"start": 2992.55, "end": 2993.63, "word": " بتكون", "probability": 0.93505859375}, {"start": 2993.63, "end": 2994.13, "word": " أعلى", "probability": 0.9495442708333334}], "temperature": 1.0}, {"id": 113, "seek": 301634, "start": 2995.14, "end": 3016.34, "text": "و Secondary immune response بيمثل لنا ظاهرة ال repeated immunization بمعنى with attenuated طبعا justified هو برر لنا موضوع اللي هو repeated immunization with attenuated inactivated pathogen to induce an immune response", "tokens": [2407, 5736, 822, 11992, 4134, 4724, 32640, 12984, 1211, 5296, 8315, 1357, 116, 40294, 25720, 2423, 10477, 13154, 2144, 4724, 2304, 3615, 1863, 7578, 365, 951, 268, 27275, 23032, 3555, 3615, 995, 27808, 31439, 4724, 2288, 2288, 5296, 8315, 3714, 2407, 11242, 45367, 13672, 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303647, "start": 3017.31, "end": 3036.47, "text": "Immunoglobulin superfamily في عائلة كلها هذه العائلة كلها تشترك في ال structure of immunoglobulin اللي هو عبارة عن Y-shaped غالبا أو وجود ال domain في ال structure فهذه العائلة هي عبارة عن immunoglobulin باخد ال Y-shape", "tokens": [40, 2174, 409, 45841, 12176, 259, 1687, 44433, 8978, 6225, 16373, 37977, 28242, 11296, 29538, 18863, 16373, 37977, 28242, 11296, 6055, 8592, 2655, 31747, 8978, 2423, 3877, 295, 13154, 45841, 12176, 259, 13672, 1829, 31439, 6225, 3555, 9640, 3660, 18871, 398, 12, 23103, 32771, 6027, 3555, 995, 34051, 49610, 23328, 2423, 9274, 8978, 2423, 3877, 6156, 3224, 24192, 18863, 16373, 37977, 39896, 6225, 3555, 9640, 3660, 18871, 13154, 45841, 12176, 259, 4724, 47283, 3215, 2423, 398, 12, 82, 42406], "avg_logprob": -0.22851562071591616, "compression_ratio": 1.7359550561797752, "no_speech_prob": 9.5367431640625e-07, "words": [{"start": 3017.3100000000004, "end": 3017.9700000000003, "word": "Immunoglobulin", 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3022.63, "end": 3024.31, "word": " of", "probability": 0.80078125}, {"start": 3024.31, "end": 3026.49, "word": " immunoglobulin", "probability": 0.9468994140625}, {"start": 3026.49, "end": 3026.77, "word": " اللي", "probability": 0.830322265625}, {"start": 3026.77, "end": 3026.97, "word": " هو", "probability": 0.9501953125}, {"start": 3026.97, "end": 3027.23, "word": " عبارة", "probability": 0.9725341796875}, {"start": 3027.23, "end": 3027.39, "word": " عن", "probability": 0.9951171875}, {"start": 3027.39, "end": 3027.61, "word": " Y", "probability": 0.60595703125}, {"start": 3027.61, "end": 3027.95, "word": "-shaped", "probability": 0.5867919921875}, {"start": 3027.95, "end": 3028.39, "word": " غالبا", "probability": 0.933837890625}, {"start": 3028.39, "end": 3028.67, "word": " أو", "probability": 0.58154296875}, {"start": 3028.67, "end": 3029.45, "word": " وجود", "probability": 0.8408203125}, {"start": 3029.45, "end": 3029.59, "word": " ال", "probability": 0.86572265625}, {"start": 3029.59, "end": 3030.03, "word": " domain", "probability": 0.9716796875}, {"start": 3030.03, "end": 3031.43, "word": " في", "probability": 0.9033203125}, {"start": 3031.43, "end": 3031.53, "word": " ال", "probability": 0.96435546875}, {"start": 3031.53, "end": 3031.99, "word": " structure", "probability": 0.9013671875}, {"start": 3031.99, "end": 3033.73, "word": " فهذه", "probability": 0.8343098958333334}, {"start": 3033.73, "end": 3034.35, "word": " العائلة", "probability": 0.990234375}, {"start": 3034.35, "end": 3034.55, "word": " هي", "probability": 0.94091796875}, {"start": 3034.55, "end": 3034.73, "word": " عبارة", "probability": 0.9788818359375}, {"start": 3034.73, "end": 3034.85, "word": " عن", "probability": 0.990234375}, {"start": 3034.85, "end": 3035.61, "word": " immunoglobulin", "probability": 0.962646484375}, {"start": 3035.61, "end": 3035.91, "word": " باخد", "probability": 0.6499837239583334}, {"start": 3035.91, "end": 3035.99, "word": " ال", "probability": 0.64208984375}, {"start": 3035.99, "end": 3036.15, "word": " Y", "probability": 0.9541015625}, {"start": 3036.15, "end": 3036.47, "word": "-shape", "probability": 0.7420247395833334}], "temperature": 1.0}, {"id": 115, "seek": 306379, "start": 3036.99, "end": 3063.79, "text": "الـ Structure اللى جنبه اللى هو ال molecule اللى جنبه اللى هو immunoglobulin Alpha, Beta, تيرو دايمر أي ماخد نفس تقريبا ال structure ثم ال T cell receptor و ال CD3 CD3 عبارة عن برضه structure بيكون جنب ال PCR و immunoglobulin Alpha, Beta", "tokens": [6027, 39184, 745, 2885, 13672, 7578, 10874, 1863, 3555, 3224, 13672, 7578, 31439, 2423, 15582, 13672, 7578, 10874, 1863, 3555, 3224, 13672, 7578, 31439, 13154, 45841, 12176, 259, 20588, 11, 33286, 11, 6055, 13546, 2407, 11778, 995, 32640, 2288, 36632, 3714, 47283, 3215, 8717, 36178, 6055, 4587, 16572, 3555, 995, 2423, 3877, 38637, 2304, 2423, 314, 2815, 32264, 4032, 2423, 6743, 18, 6743, 18, 6225, 3555, 9640, 3660, 18871, 4724, 43042, 3224, 3877, 4724, 1829, 30544, 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"word": " جنبه", "probability": 0.9898681640625}, {"start": 3041.73, "end": 3041.87, "word": " اللى", "probability": 0.93408203125}, {"start": 3041.87, "end": 3041.97, "word": " هو", "probability": 0.81494140625}, {"start": 3041.97, "end": 3042.57, "word": " immunoglobulin", "probability": 0.52130126953125}, {"start": 3042.57, "end": 3042.89, "word": " Alpha,", "probability": 0.4638671875}, {"start": 3043.03, "end": 3043.37, "word": " Beta,", "probability": 0.8447265625}, {"start": 3044.05, "end": 3044.41, "word": " تيرو", "probability": 0.5544026692708334}, {"start": 3044.41, "end": 3044.93, "word": " دايمر", "probability": 0.8824462890625}, {"start": 3044.93, "end": 3045.51, "word": " أي", "probability": 0.28466796875}, {"start": 3045.51, "end": 3045.91, "word": " ماخد", "probability": 0.8419596354166666}, {"start": 3045.91, "end": 3046.15, "word": " نفس", "probability": 0.99560546875}, {"start": 3046.15, "end": 3046.63, "word": " تقريبا", "probability": 0.9736328125}, {"start": 3046.63, "end": 3046.79, "word": " ال", "probability": 0.94677734375}, {"start": 3046.79, "end": 3047.21, "word": " structure", "probability": 0.5146484375}, {"start": 3047.21, "end": 3048.47, "word": " ثم", "probability": 0.93896484375}, {"start": 3048.47, "end": 3048.65, "word": " ال", "probability": 0.66162109375}, {"start": 3048.65, "end": 3048.75, "word": " T", "probability": 0.51904296875}, {"start": 3048.75, "end": 3048.93, "word": " cell", "probability": 0.45849609375}, {"start": 3048.93, "end": 3049.49, "word": " receptor", "probability": 0.85498046875}, {"start": 3049.49, "end": 3051.03, "word": " و", "probability": 0.80810546875}, {"start": 3051.03, "end": 3052.07, "word": " ال", "probability": 0.65966796875}, {"start": 3052.07, "end": 3054.57, "word": " CD3", "probability": 0.810302734375}, {"start": 3054.57, "end": 3055.63, "word": " CD3", "probability": 0.80078125}, {"start": 3055.63, "end": 3056.01, "word": " عبارة", "probability": 0.8868408203125}, {"start": 3056.01, "end": 3056.35, "word": " عن", "probability": 0.994140625}, {"start": 3056.35, "end": 3057.49, "word": " برضه", "probability": 0.9375}, {"start": 3057.49, "end": 3058.03, "word": " structure", "probability": 0.474853515625}, {"start": 3058.03, "end": 3058.41, "word": " بيكون", "probability": 0.9207356770833334}, {"start": 3058.41, "end": 3058.89, "word": " جنب", "probability": 0.9895833333333334}, {"start": 3058.89, "end": 3059.07, "word": " ال", "probability": 0.96923828125}, {"start": 3059.07, "end": 3059.61, "word": " PCR", "probability": 0.75439453125}, {"start": 3059.61, "end": 3060.73, "word": " و", "probability": 0.8330078125}, {"start": 3060.73, "end": 3063.11, "word": " immunoglobulin", "probability": 0.91796875}, {"start": 3063.11, "end": 3063.41, "word": " Alpha,", "probability": 0.9462890625}, {"start": 3063.57, "end": 3063.79, "word": " Beta", "probability": 0.923828125}], "temperature": 1.0}, {"id": 116, "seek": 309268, "start": 3065.74, "end": 3092.68, "text": "وبيساعد أيضًا في الـ Cell Signaling ثم Class I و Class II MHC موليكيول ثم Poly-Immunoglobulin Receptor اللي قلنا IGA برتبط فيه عشان تفسيلتيت اللي هو extravasation to the extracellular fluid ال .. these molecules زي ما قلنا sharing the same structure immunoglobulin 4-domain", "tokens": [2407, 21292, 3794, 995, 22488, 36632, 11242, 14111, 995, 8978, 2423, 39184, 28859, 13515, 4270, 38637, 2304, 9471, 286, 4032, 9471, 6351, 34796, 34, 3714, 12610, 1829, 4117, 1829, 12610, 38637, 2304, 18553, 12, 40, 2174, 409, 45841, 12176, 259, 1300, 1336, 284, 13672, 1829, 12174, 1211, 8315, 286, 12570, 4724, 43500, 3555, 9566, 8978, 3224, 6225, 8592, 7649, 6055, 5172, 3794, 26895, 31371, 2655, 13672, 1829, 31439, 2857, 7967, 399, 281, 264, 16455, 617, 285, 1040, 9113, 2423, 4386, 613, 13093, 30767, 1829, 19446, 12174, 1211, 8315, 5414, 264, 912, 3877, 13154, 45841, 12176, 259, 1017, 12, 4121, 491], "avg_logprob": -0.3344678347653682, "compression_ratio": 1.35546875, "no_speech_prob": 0.0, "words": [{"start": 3065.7400000000002, "end": 3066.82, "word": "وبيساعد", "probability": 0.73037109375}, {"start": 3066.82, "end": 3067.2, "word": " أيضًا", "probability": 0.83563232421875}, {"start": 3067.2, "end": 3067.42, "word": " في", "probability": 0.9267578125}, {"start": 3067.42, "end": 3067.72, "word": " الـ", "probability": 0.582275390625}, {"start": 3067.72, "end": 3068.14, "word": " Cell", "probability": 0.6171875}, {"start": 3068.14, "end": 3068.74, "word": " Signaling", "probability": 0.859130859375}, {"start": 3068.74, "end": 3069.72, "word": " ثم", "probability": 0.832275390625}, {"start": 3069.72, "end": 3069.94, "word": " Class", "probability": 0.50390625}, {"start": 3069.94, "end": 3070.22, "word": " I", "probability": 0.65380859375}, {"start": 3070.22, "end": 3070.34, "word": " و", "probability": 0.94580078125}, {"start": 3070.34, "end": 3070.56, "word": " Class", "probability": 0.58984375}, {"start": 3070.56, "end": 3070.76, "word": " II", "probability": 0.94775390625}, {"start": 3070.76, "end": 3071.22, "word": " MHC", "probability": 0.53533935546875}, {"start": 3071.22, "end": 3071.84, "word": " موليكيول", "probability": 0.7609456380208334}, {"start": 3071.84, "end": 3072.52, "word": " ثم", "probability": 0.96484375}, {"start": 3072.52, "end": 3073.06, "word": " Poly", "probability": 0.58251953125}, {"start": 3073.06, "end": 3073.98, "word": "-Immunoglobulin", "probability": 0.7775530133928571}, {"start": 3073.98, "end": 3074.52, "word": " Receptor", "probability": 0.87939453125}, {"start": 3074.52, "end": 3074.64, "word": " اللي", "probability": 0.887939453125}, {"start": 3074.64, "end": 3075.0, "word": " قلنا", "probability": 0.8499348958333334}, {"start": 3075.0, "end": 3075.94, "word": " IGA", "probability": 0.5997314453125}, {"start": 3075.94, "end": 3076.5, "word": " برتبط", "probability": 0.955810546875}, {"start": 3076.5, "end": 3077.4, "word": " فيه", "probability": 0.940185546875}, {"start": 3077.4, "end": 3078.12, "word": " عشان", "probability": 0.90478515625}, {"start": 3078.12, "end": 3079.44, "word": " تفسيلتيت", "probability": 0.5479736328125}, {"start": 3079.44, "end": 3080.16, "word": " اللي", "probability": 0.71923828125}, {"start": 3080.16, "end": 3080.48, "word": " هو", "probability": 0.96142578125}, {"start": 3080.48, "end": 3081.66, "word": " extravasation", "probability": 0.664794921875}, {"start": 3081.66, "end": 3081.86, "word": " to", "probability": 0.84521484375}, {"start": 3081.86, "end": 3082.0, "word": " the", "probability": 0.779296875}, {"start": 3082.0, "end": 3082.84, "word": " extracellular", "probability": 0.92724609375}, {"start": 3082.84, "end": 3084.0, "word": " fluid", "probability": 0.85009765625}, {"start": 3084.0, "end": 3087.08, "word": " ال", "probability": 0.453125}, {"start": 3087.08, "end": 3087.66, "word": " ..", "probability": 0.1661376953125}, {"start": 3087.66, "end": 3088.2, "word": " these", "probability": 0.36767578125}, {"start": 3088.2, "end": 3088.84, "word": " molecules", "probability": 0.6943359375}, {"start": 3088.84, "end": 3089.06, "word": " زي", "probability": 0.845458984375}, {"start": 3089.06, "end": 3089.12, "word": " ما", "probability": 0.98193359375}, {"start": 3089.12, "end": 3089.38, "word": " قلنا", "probability": 0.978515625}, {"start": 3089.38, "end": 3089.76, "word": " sharing", "probability": 0.888671875}, {"start": 3089.76, "end": 3090.12, "word": " the", "probability": 0.9130859375}, {"start": 3090.12, "end": 3090.36, "word": " same", "probability": 0.9091796875}, {"start": 3090.36, "end": 3091.06, "word": " structure", "probability": 0.88818359375}, {"start": 3091.06, "end": 3091.88, "word": " immunoglobulin", "probability": 0.809326171875}, {"start": 3091.88, "end": 3092.12, "word": " 4", "probability": 0.202880859375}, {"start": 3092.12, "end": 3092.68, "word": "-domain", "probability": 0.7190755208333334}], "temperature": 1.0}, {"id": 117, "seek": 310652, "start": 3094.0, "end": 3106.52, "text": "و طبعا هذا دليل على ان كلهم طالعين من نفس الجينات من جينات في نفس المنطقة sorry اللي هي primordial gene عملية ال folding", "tokens": [2407, 23032, 3555, 3615, 995, 23758, 11778, 20292, 1211, 15844, 16472, 28242, 16095, 23032, 6027, 3615, 9957, 9154, 8717, 36178, 2423, 7435, 1829, 8315, 2655, 9154, 10874, 1829, 8315, 2655, 8978, 8717, 36178, 9673, 1863, 9566, 28671, 2597, 13672, 1829, 39896, 2886, 765, 831, 12186, 6225, 42213, 10632, 2423, 25335], "avg_logprob": -0.18964460959621504, "compression_ratio": 1.4148148148148147, "no_speech_prob": 2.384185791015625e-07, "words": [{"start": 3094.0, "end": 3094.38, "word": "و", "probability": 0.53271484375}, {"start": 3094.38, "end": 3095.14, "word": " طبعا", "probability": 0.84716796875}, {"start": 3095.14, "end": 3095.5, "word": " هذا", "probability": 0.78564453125}, {"start": 3095.5, "end": 3095.88, "word": " دليل", "probability": 0.9524739583333334}, {"start": 3095.88, "end": 3095.98, "word": " على", "probability": 0.806640625}, {"start": 3095.98, "end": 3096.16, "word": " 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00:01:01,880 +cell محصلتها إنتاج Antibody production هذه الصورة + +13 +00:01:01,880 --> 00:01:07,260 +بتبين انها كيف بتتم عملية اللي هو بداية ال + +14 +00:01:07,260 --> 00:01:10,980 +response احنا اتفقنا ان ال B لنفسه ساعد وال D + +15 +00:01:10,980 --> 00:01:25,970 +لنفسه ساعد بمجرد انهم ماتورينطبعا هم Homing هم هم + +16 +00:01:25,970 --> 00:01:30,830 +هم + +17 +00:01:30,830 --> 00:01:32,550 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +18 +00:01:32,550 --> 00:01:33,410 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +19 +00:01:33,410 --> 00:01:34,290 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +20 +00:01:34,290 --> 00:01:35,670 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +21 +00:01:35,670 --> 00:01:37,410 +هم هم + +22 +00:01:40,890 --> 00:01:46,030 +صادفت Antigen عملت له Phagocytosis تعرفت عليه طبعا + +23 +00:01:46,030 --> 00:01:49,610 +من خلال Toll-like receptor هنشوف وظائفها الآن + +24 +00:01:49,610 --> 00:01:56,230 +أخدته وعملت له Phagocytosis وطبعا صار له + +25 +00:01:56,230 --> 00:02:02,330 +Processing يعني شجفته طلع مرتبط بال MHC class 2 + +26 +00:02:02,330 --> 00:02:07,050 +molecule وبمجرد نصي طلع مرتبط بالMHC class 2 + +27 +00:02:07,050 --> 00:02:13,050 +molecule بصير Induction إلى B7و Class 2 molecule + +28 +00:02:13,050 --> 00:02:19,150 +طبعا Once this happen يصير فيه Synthesis ل IL-12 + +29 +00:02:19,150 --> 00:02:24,410 +Cytokine and other Chemokine طالعة من ايش من ال + +30 +00:02:24,410 --> 00:02:31,890 +Dendritic cell تاخد بتخش هذه الخلية الى ال Lymph + +31 +00:02:31,890 --> 00:02:36,630 +nodes وهناك بعد ال Release of this Cytokine it + +32 +00:02:36,630 --> 00:02:42,860 +becomes mature Dendritic cell التي تقدم الانتجين + +33 +00:02:42,860 --> 00:02:48,480 +لمن؟ لـ T-cell طبعاً هي بتبقى الخاشة وهناك في الـ + +34 +00:02:48,480 --> 00:02:52,280 +Germinal Center في T-cell area في الـ Lymph nodes + +35 +00:02:52,280 --> 00:02:58,900 +وبتقدم الانتجين لمن؟ لـ T البرسيلة طبعاً محصلة ال + +36 +00:02:58,900 --> 00:03:06,040 +Activation of T lymphocytes Antigen presenting + +37 +00:03:06,040 --> 00:03:09,880 +cell الـ Professional Antigen Presenting Cell هما + +38 +00:03:09,880 --> 00:03:13,220 +الـ Dendritic Cell والـ Macrophage والـ B + +39 +00:03:13,220 --> 00:03:19,980 +-Lymphocytes طبعاً هؤلاء يستخدمون الانتجين لتكوينه + +40 +00:03:19,980 --> 00:03:27,280 +ويقدمونه كـ Costimulatory signal الانتجين هدول تقديم + +41 +00:03:27,280 --> 00:03:33,760 +الانتجين وتزويدنا بالـ Costimulatory signal سيكتفع الـ + +42 +00:03:33,760 --> 00:03:39,780 +Naive T-Lymphocyte الـ Dendritic cell can express + +43 +00:03:39,780 --> 00:03:44,700 +high level of MHC class 2 and Class 1 molecule + +44 +00:03:44,700 --> 00:03:50,040 +وقولنا they are motile they are moving from one + +45 +00:03:50,040 --> 00:03:54,380 +place to another وبيضلوا يمشوا لغاية ما يصلوا ال + +46 +00:03:54,380 --> 00:03:57,760 +Lymph nodes وهناك they can interact with the T + +47 +00:03:57,760 --> 00:04:05,130 +lymphocytes وشوفنا ال figure الأول يعنيهو بيظهر + +48 +00:04:05,130 --> 00:04:09,610 +لنا ال Interaction of Antigen والـ Dendritic cell + +49 +00:04:09,610 --> 00:04:15,730 +in tissue أخدته وراحت طبعا أدى إلى ال Maturation + +50 +00:04:15,730 --> 00:04:22,490 +of Dendritic cell وأدى إلى أنه في خلية حاملة على + +51 +00:04:22,490 --> 00:04:32,950 +سطحها Antigen اتحركت لغاية ما وصلت للمف نوز وهناك + +52 +00:04:32,950 --> 00:04:39,090 +صار في عملية ال Interaction في ال figure برضه + +53 +00:04:39,090 --> 00:04:42,490 +الانتيجين هو عبارة عن Gram-negative بكتيريا تاخد + +54 +00:04:42,490 --> 00:04:47,290 +by immature Dendritic cell ومن خلال Interaction + +55 +00:04:47,290 --> 00:04:51,830 +with Toll-like receptor اللي موجودة على سطح ال + +56 +00:04:51,830 --> 00:04:58,200 +Dendritic cell اكتفاء Toll-like receptor من جزء من + +57 +00:04:58,200 --> 00:05:04,160 +الميكروبيا يؤدي إلى اكتفاء كامين من الـ Innate والـ + +58 +00:05:04,160 --> 00:05:08,800 +Adaptive immunity الـ Innate من خلال + +59 +00:05:08,800 --> 00:05:13,300 +الفاجوسيتوسيز والـ Adaptive من خلال الـ Cytokine + +60 +00:05:17,650 --> 00:05:21,290 +طيب ايش هم ال Toll-like receptor؟ قالوا they are + +61 +00:05:21,290 --> 00:05:27,210 +considered as part of Pattern Recognition Molecule + +62 +00:05:27,210 --> 00:05:32,570 +Pattern Recognition Molecule هذا عبارة عن مجموعة + +63 +00:05:32,570 --> 00:05:41,860 +موجودة على سطح خلايا كل واحد is specific for the + +64 +00:05:41,860 --> 00:05:51,900 +Recognition of certain foreign Antigen they fit + +65 +00:05:51,900 --> 00:05:56,400 +with a distinct pattern of corresponding base of + +66 +00:05:56,400 --> 00:06:04,330 +Pathogen برتبته بقطعة أو بالمكان المناسب اللي موجود + +67 +00:06:04,330 --> 00:06:09,990 +على سطح ال Pathogen and they serve as a flag they + +68 +00:06:09,990 --> 00:06:18,510 +are flags Alerting يعني دائما بيش بيصححوا a + +69 +00:06:18,510 --> 00:06:22,750 +responding cell to the presence of innate invading + +70 +00:06:22,750 --> 00:06:30,590 +Microorganism هم يعني ينشطوا + +71 +00:06:31,730 --> 00:06:38,910 +أو يجعل الخلايا الجسم دائما في حالة استنفار في حال + +72 +00:06:38,910 --> 00:06:45,430 +دخول الانتجين أيضا they facilitate Phagocytosis + +73 +00:06:45,430 --> 00:06:48,790 +ماحنا قلنا بس من مجرد ما يصير في ارتباط ما بين ال + +74 +00:06:48,790 --> 00:06:52,410 +Toll-like receptor والانتجين بصير فيه Phagocytosis + +75 +00:06:52,410 --> 00:06:56,810 +هي Toll-like receptor activate Phagocytes and tissue + +76 +00:06:56,810 --> 00:07:02,210 +Dendritic cell in response to Pathogen and they + +77 +00:07:02,210 --> 00:07:05,790 +are large family of Receptor مجموعة كبيرة من ال + +78 +00:07:05,790 --> 00:07:10,990 +Receptor كل واحد منهم Each of which recognizes + +79 +00:07:10,990 --> 00:07:16,230 +specific Microbial Molecular Pattern كان هم مجموعة + +80 +00:07:16,230 --> 00:07:22,430 +من الـ Receptor موجودة على خلايا الجسم الفاعلة في + +81 +00:07:22,430 --> 00:07:26,950 +ال Innate immunity وكل واحد منهم بيتعرف على + +82 +00:07:26,950 --> 00:07:31,570 +Microbial Pattern أو ال Molecular Pattern موجود + +83 +00:07:31,570 --> 00:07:35,640 +على سطح الخلايا Activation of these cells + +84 +00:07:35,640 --> 00:07:40,580 +facilitates initiation of Acquired Immune Response + +85 +00:07:40,580 --> 00:07:44,520 +من خلال إيش؟ Release or Production of Pro + +86 +00:07:44,520 --> 00:07:51,160 +-inflammatory Cytokine وهذا ما يفسر العلاقة ما بين + +87 +00:07:51,160 --> 00:07:54,620 +ال Innate والـ Acquired Immune Response + +88 +00:07:57,700 --> 00:08:04,000 +أيضا ما يسهل عملية Phagocytosis هو أن الميكروب + +89 +00:08:04,000 --> 00:08:09,220 +يكون Coated with Complement يعني بيكون Opsonized + +90 +00:08:09,220 --> 00:08:12,700 +يعني ال Opsonized microbe + +91 +00:08:15,250 --> 00:08:19,350 +بإمكانها أن تكون بسهولة فاغوسيتيزة فرن Antigen يدفع + +92 +00:08:19,350 --> 00:08:22,810 +للمستوى العالي من الـ Molecules التشغيلية يبقى + +93 +00:08:22,810 --> 00:08:26,750 +الـ Molecules التشغيلية تتكون في وجود أو في حالة + +94 +00:08:26,750 --> 00:08:34,010 +وجود فرن Antigen بينما في حالة الـ Self-antigen هذه + +95 +00:08:34,010 --> 00:08:40,130 +الـ Molecules التشغيلية لا يمكن أن تكون مصادرة ولن + +96 +00:08:40,130 --> 00:08:47,960 +تدفع Naive T-Lymphocyte هذه عبارة عن صورة بتوضح ال + +97 +00:08:47,960 --> 00:08:52,800 +Interaction between Molecules on the surface of + +98 +00:08:52,800 --> 00:08:59,500 +both Antigen Presenting Cell and CD4 T helper cell + +99 +00:08:59,500 --> 00:09:05,960 +يعني هاي ال TCR مرتبط بالـ MHC Class 2 والـ + +100 +00:09:05,960 --> 00:09:10,280 +Coreceptor CD4 أيضًا مرتبط بالـ MHC Class 2 Sorry + +101 +00:09:10,280 --> 00:09:16,540 +TCR مرتبط بالانتيجن وCD4 مرتبط بالـ MHC Class 2 هي + +102 +00:09:16,540 --> 00:09:21,580 +الـ Core stimulatory Molecule CD28 بيرتبط بالـ + +103 +00:09:21,580 --> 00:09:29,700 +B7 أو CTLA4 اللي هو Cytotoxic Lymphocyte Antigen + +104 +00:09:29,700 --> 00:09:37,070 +number 4 أيضًا can interact with مع B7 واحد + +105 +00:09:37,070 --> 00:09:40,430 +بيعمل Stimulatory واحد بيعمل Inhibitory بالمناسبة + +106 +00:09:40,430 --> 00:09:46,310 +اللي هو CTLA4 هو Inhibitory ثم CD40 على ال B + +107 +00:09:46,310 --> 00:09:52,890 +-Lymphocytes بيرتبط بالـ CD40 Ligand على ال T ثم أو + +108 +00:09:52,890 --> 00:09:57,540 +اعتبرنا ان هذه ال Antigen Presenting B ثم ال ICAM-1 + +109 +00:09:57,540 --> 00:10:01,960 +اللي هو CD54 بيرتبط بخبر عن Adhesive Molecule + +110 +00:10:01,960 --> 00:10:08,280 +بيرتبط بـ LFA-1 Leukocyte or Lymphocyte Functioning + +111 +00:10:08,280 --> 00:10:12,920 +Antigen number 1 ثم CD2 خبر عن أيضا Adhesive + +112 +00:10:12,920 --> 00:10:19,130 +Molecule على سطح T-Lymphocyte بيرتبط بـ LFA-1 تلاتة + +113 +00:10:19,130 --> 00:10:23,470 +على سطح الـ Antigen Presenting Cell هذه هي روابط + +114 +00:10:23,470 --> 00:10:28,010 +عشان الـ Cell-to-Cell Contact كل هذه الروابط And + +115 +00:10:28,010 --> 00:10:32,430 +Activation مش بس Contact and Activation هذه + +116 +00:10:32,430 --> 00:10:40,390 +الروابط كلها بدها ترتبط نشوفتنشيط هذه الخلية الـ T + +117 +00:10:40,390 --> 00:10:44,530 +lymphocyte بتم من خلال أكتر من Signal ال First + +118 +00:10:44,530 --> 00:10:47,490 +Signal هي عبارة عن ال Interaction بين الـ MHC + +119 +00:10:47,490 --> 00:10:53,150 +Class 2 اللي ماسك على سطحه ال Peptide ال Antigenic + +120 +00:10:53,150 --> 00:10:59,030 +Peptide واللي موجود على ال Antigen Presenting + +121 +00:10:59,030 --> 00:11:07,640 +Cell بيرتبط بالـ TCR من خلال الـ Variable Alpha والـ + +122 +00:11:07,640 --> 00:11:13,960 +Variable Beta وهذا أول ارتباط وهذا الوصف محتاج + +123 +00:11:13,960 --> 00:11:22,520 +له لكنه ليس كافيا لإيقافه عشان تقوى الرابطة مضتعف + +124 +00:11:22,520 --> 00:11:27,060 +ويصير فيه زيادة في ال Response to the Antigen لابد + +125 +00:11:27,060 --> 00:11:31,500 +من ارتباط الـ Coreceptor اللي هو CD4 مع الـ MHC + +126 +00:11:31,500 --> 00:11:38,920 +class 2 ويرتبط في الـ constant region of MHC class + +127 +00:11:38,920 --> 00:11:45,530 +2CD4 يتم تحريره من + +128 +00:11:45,530 --> 00:11:53,050 +الـ TCR الذي يمسك في الـ Antigen ويعمل ارتباط الـ + +129 +00:11:53,050 --> 00:11:59,470 +MHC Class 2 ويقوّي الرابطة ويزود الـ Signal + +130 +00:11:59,470 --> 00:12:05,070 +Transduction اللي سيحدث الـ + +131 +00:12:05,070 --> 00:12:10,430 +Co-Stimulatorالرابطات الثالثة أو الثانية دعنا + +132 +00:12:10,430 --> 00:12:15,950 +نقول هي عبارة عن co-stimulator pairs or molecules + +133 +00:12:15,950 --> 00:12:19,450 +لازم يحصل فيه interaction بين الـB7 على سطح + +134 +00:12:19,450 --> 00:12:28,030 +الـantigen presenting cell مع الـCD28 أو CD40 أو + +135 +00:12:28,030 --> 00:12:30,370 +يسمونه CD152 + +136 +00:12:33,200 --> 00:12:38,060 +وCD40 ligand اللي هو CD154 مع CD40 ligand على سطح + +137 +00:12:38,060 --> 00:12:42,160 +الـT lymphocytes لأن هذه الروابط هي عبارة عن co- + +138 +00:12:42,160 --> 00:12:45,380 +stimulator هي عبارة عن الجدلة هي عبارة عن تقوية + +139 +00:12:45,380 --> 00:12:49,740 +الرابط اللي بدها تصير عشان نصير فيه اللي هو + +140 +00:12:49,740 --> 00:12:54,100 +activation طبعاً co-stimulator molecules are + +141 +00:12:54,100 --> 00:13:00,440 +required ماشي are necessary for activation of + +142 +00:13:00,440 --> 00:13:03,850 +naive CD4 T cells + +143 +00:13:06,780 --> 00:13:11,280 +CD40-Ligand Interaction بتزيد الـ Expression of + +144 +00:13:11,280 --> 00:13:15,900 +B7 على سطح الـ Antigen Presenting Cell و بتزيد + +145 +00:13:15,900 --> 00:13:22,680 +ارتباط الـ B7 مع الـ CD28 بين الـ Antigen + +146 +00:13:22,680 --> 00:13:26,780 +Presenting Cell و الـ T-Lymphocyte قلنا في رابطة + +147 +00:13:26,780 --> 00:13:32,660 +أخرى هي الـ Adhesion Molecules وتتمثل بالـ ICAM-1 + +148 +00:13:32,660 --> 00:13:40,170 +بيرتبط مع CD11a/CD18 أو ما يسمى بالـ LFA-1 Leukocyte + +149 +00:13:40,170 --> 00:13:43,710 +Function-Associated Antigen على سطح الـ T-Lymphocyte + +150 +00:13:43,710 --> 00:13:50,510 +و أيضاً الـ adhesive + +151 +00:13:50,510 --> 00:13:55,330 +interaction slow down the movement يعني تتلصق تثبت + +152 +00:13:55,330 --> 00:14:01,670 +الخلية ويوم تثبت بيصير الـ action is more potent + +153 +00:14:05,050 --> 00:14:10,770 +الرقم الخامسة هي الـ Immunological Synapse هي + +154 +00:14:10,770 --> 00:14:13,910 +منطقة الارتباط ما بين الـ Antigen Presenting Cell + +155 +00:14:13,910 --> 00:14:18,430 +والـ T Cell بيتكون فيها الـ Synapse الـ Synapse + +156 +00:14:18,430 --> 00:14:22,050 +يحتاج لاستمرار اتصال الـ intracellular هو اللي يعمل + +157 +00:14:22,050 --> 00:14:29,050 +إيه الاتصال intracellular وهي من تنتهي وتبقى + +158 +00:14:29,050 --> 00:14:31,350 +شغالة وممسكة بالخلايا + +159 +00:14:35,700 --> 00:14:41,760 +لغاية فترة طويلة بتوصل أنه حوالي 12-18 ساعة of + +160 +00:14:41,760 --> 00:14:46,760 +contact قالوا ليش شو بيصير في هذه الحالة قالوا الـ + +161 +00:14:46,760 --> 00:14:51,520 +Lycos في داخلها اللي بدو الـ cluster اللي موجود في + +162 +00:14:51,520 --> 00:14:58,640 +cell membrane تبع T cell is mobilized to the + +163 +00:14:58,640 --> 00:15:02,460 +synapse اللي هي الوصلة اللي صارت and drawn with + +164 +00:15:02,460 --> 00:15:08,160 +them intracellular signalingاللي هو دور الـ + +165 +00:15:08,160 --> 00:15:12,040 +Intracellular Signaling و هذه خطوات الـ + +166 +00:15:12,040 --> 00:15:17,680 +Intracellular Signaling و تتبعوا معي شو بيصير في + +167 +00:15:17,680 --> 00:15:22,620 +هذه الـ Signal جابوا بيرتبط طبعاً تكون الـ Synapse + +168 +00:15:22,620 --> 00:15:28,440 +وبيرتبط الهرمون أو الـ cytokine في هذه الحالة + +169 +00:15:28,440 --> 00:15:35,640 +ماشي بالـ Receptor فبينشط الـ Receptor وبتنشط + +170 +00:15:35,640 --> 00:15:38,660 +الـ Receptor بيثبت في البروتين موجود في الـ cell + +171 +00:15:38,660 --> 00:15:43,800 +membrane of the اسمه اللي هو Gαs protein وهذا + +172 +00:15:43,800 --> 00:15:46,780 +بيتكون من Alpha, Beta, Gamma, Trimer وبتعدي + +173 +00:15:46,780 --> 00:15:52,720 +Chain طبعاً محصلة نشاطه شغلتين الشغل الأولانية خروج + +174 +00:15:52,720 --> 00:16:02,880 +الـ GTP من الـ Gαs GTP بيتحول إلى GDP وبيرتبط فيه Gαs + +175 +00:16:02,880 --> 00:16:08,900 +proteinالحاجة الثانية أنه طبعاً هذا الـ alpha منه + +176 +00:16:08,900 --> 00:16:15,900 +بيرتبط بالـ ATP بالـ GTP بينما الـ Beta و الـ Gamma + +177 +00:16:15,900 --> 00:16:22,260 +بيروحوا وبينشطوا إنزيم ثاني اسمه Phospholipase C و + +178 +00:16:22,260 --> 00:16:26,700 +الـ Phospholipase C شو بيعمل بيعمل حاجة حلوة خالص + +179 +00:16:26,700 --> 00:16:33,170 +بيحول الـ phosphatidylinositol 4,5-bisphosphate لشغلتين هذا + +180 +00:16:33,170 --> 00:16:39,650 +هو لـ inositol triphosphate IP3 وبيبدأ ينشط الـ + +181 +00:16:39,650 --> 00:16:44,670 +diacylglycerol يبقى بينشط شغلتين diacylglycerol + +182 +00:16:44,670 --> 00:16:49,830 +و inositol triphosphate دي بساطة يطلق inositol + +183 +00:16:49,830 --> 00:16:52,570 +triphosphate يخش على الـ endoplasmic reticulum ويطلع + +184 +00:16:52,570 --> 00:16:59,230 +الـ Calcium منه من خلال قنوات calcium channels فبيطلع + +185 +00:16:59,230 --> 00:17:05,910 +الـ Calcium اللي طبعاً باقي الـ diacylglycerol في وجود + +186 +00:17:05,910 --> 00:17:13,690 +الـ Calcium بتنشط لإنزيم اسمه Protein Kinase C و + +187 +00:17:13,690 --> 00:17:16,910 +اللي أيضاً هذا الـ Protein متى ما اتنشط على طول + +188 +00:17:16,910 --> 00:17:19,730 +بيعمل phosphorylation هو عبارة عن phosphorylated + +189 +00:17:19,730 --> 00:17:23,530 +protein بيعمل اللي هو الـ catalyst بيعمل + +190 +00:17:23,530 --> 00:17:28,870 +phosphorylation لـ Cellular Protein وطبعاً متمصار في + +191 +00:17:28,870 --> 00:17:33,030 +Phosphorylation يعني في Action يعني تأثير الهرمون + +192 +00:17:33,030 --> 00:17:38,530 +اللي ماسك بالإيش بالـ Receptor بده يتفعل من خلال + +193 +00:17:38,530 --> 00:17:42,870 +تكوين الـ Protein Kinase اللي هو زي ما أنتم شايفين + +194 +00:17:42,870 --> 00:17:47,690 +حوالي ثمان خطوات متتالية نعيدها على السريع الهرمون + +195 +00:17:47,690 --> 00:17:53,260 +بيمسك بـ Receptor بينشطه ومتى ما نشط الـ Receptor بيمسك + +196 +00:17:53,260 --> 00:17:57,000 +ببروتين اسمه الـ Gαs Protein في Cell Membrane هو + +197 +00:17:57,000 --> 00:18:04,480 +عبارة عن Trimeric Protein محصلة + +198 +00:18:04,480 --> 00:18:09,440 +ارتباطه بالبروتين هذا الـ Receptor هو حاجتين أنه + +199 +00:18:09,440 --> 00:18:12,900 +بيصير Dissociation لـ Alpha, Beta, Gamma الـ Alpha + +200 +00:18:12,900 --> 00:18:19,550 +طبعاً مرتبط بالـ GTP اللي طلع والـ Beta والـ Gamma + +201 +00:18:19,550 --> 00:18:25,770 +بيروحوا وبينشطوا الـ Phospholipase-C إنزيم الـ + +202 +00:18:25,770 --> 00:18:30,650 +Phospholipase-C إنزيم متى ما اتنشط بيروحوا + +203 +00:18:30,650 --> 00:18:36,950 +وبينشط لنا شغلتين مكون لنا الـ diacylglycerol و الـ + +204 +00:18:36,950 --> 00:18:40,310 +inositol triphosphate لأن الـ inositol triphosphate + +205 +00:18:40,310 --> 00:18:43,030 +بيخش على الـ endoplasmic reticulum بيطلع لنا + +206 +00:18:43,030 --> 00:18:43,770 +الـ Calcium + +207 +00:18:46,300 --> 00:18:50,260 +في وجود الـ Calcium diacylglycerol بيتحول إلى + +208 +00:18:50,260 --> 00:18:55,500 +Protein Kinase وهذا عبارة عن phosphorylated Protein + +209 +00:18:55,500 --> 00:19:00,460 +بيعمل Phosphorylation للذي هو Cellular Protein وبالتالي + +210 +00:19:00,460 --> 00:19:05,100 +بيصير فيه Action هذا هو الـ role of inositol + +211 +00:19:05,100 --> 00:19:10,780 +triphosphate in intracellular signaling في + +212 +00:19:10,780 --> 00:19:15,760 +الـ CD4 شو اللي بيصير؟ كـ Intracellular event or + +213 +00:19:15,760 --> 00:19:20,100 +signaling طبعاً زي ما أنتم شايفين هي ارتبط الـ + +214 +00:19:20,100 --> 00:19:25,260 +TCR من البداية بالـ Antigenic Peptide اللي ممسوكة + +215 +00:19:25,260 --> 00:19:35,320 +بالـ MHC Molecule وإجا الـ CD4 ماشي مسك أيضاً بالـ + +216 +00:19:35,320 --> 00:19:38,990 +MHC Molecule يبقى الـ TCR ماسك في الـ Antigenic + +217 +00:19:38,990 --> 00:19:43,830 +Peptide و CD4 ماسك في الـ MHC Molecule طبعاً إيش فيه + +218 +00:19:43,830 --> 00:19:49,730 +موجود جنب الـ TCR و الـ MHC Molecule؟ قالوا فيه CD3 + +219 +00:19:49,730 --> 00:19:53,270 +و Zeta اللي هيعملوا Signal Transduction شو + +220 +00:19:53,270 --> 00:19:58,310 +هيعملوه؟ طبعاً ناشئين و CD3 و Zeta فيها ده هو + +221 +00:19:58,310 --> 00:20:03,950 +المربعات اللي موجودة عبارة عن اللي هو ITAM ماشي + +222 +00:20:04,540 --> 00:20:13,400 +عبارة عن اللي هو motif للفسفرة طيب شو بيصير في + +223 +00:20:13,400 --> 00:20:18,940 +هذه الحالة؟ كانوا بمجرد مثلها phosphorylation عادة + +224 +00:20:18,940 --> 00:20:25,910 +بيصير من خلال اللي هو الـ Lck والـ Fyn واحد تابع + +225 +00:20:25,910 --> 00:20:28,550 +الـ Src family واحد تابع الـ Src family الثاني + +226 +00:20:28,550 --> 00:20:33,050 +بيعملوا Phosphorylation للـ ITAM بتمت فسفرة + +227 +00:20:33,050 --> 00:20:36,710 +ودول بيفسفروا طبعاً الـ Phosphorylation of ITAM + +228 +00:20:36,710 --> 00:20:47,310 +بيشكل مرساة بيشكل اللي هو قاعدة بتنشط عليها اللي + +229 +00:20:47,310 --> 00:20:53,360 +هو الـ ZAP-70 بروتين متمت فسفر بروحه هو + +230 +00:20:53,360 --> 00:20:57,740 +بينشط لنا Adaptor Protein و الـ Adaptor Protein إذا + +231 +00:20:57,740 --> 00:21:02,240 +اتنشط على طول بنشط لنا اللي هو Phosphatidylinositol + +232 +00:21:02,240 --> 00:21:08,600 +3-Kinase هو يبدأ لنا اللي هو Phosphorylates + Phosphoinositide + +233 +00:21:08,600 --> 00:21:14,470 +3-Kinase Phospholipase C سوري اللي هيعطينا ينشط لنا الـ + +234 +00:21:14,470 --> 00:21:18,650 +و الـ Ras وبيكون لنا inositol triphosphate و diacylglycerol + +235 +00:21:18,650 --> 00:21:22,770 +وطبعاً هذه هتنشط لنا Transcriptional Factors وهذه + +236 +00:21:22,770 --> 00:21:35,380 +وهتنشط الـ NF-κB و الـ AP-1 و الـ NFAT وهدول بيخشوا على الـ + +237 +00:21:35,380 --> 00:21:39,320 +DNA على الـ Nucleus وهناك برضه بيعملوا + +238 +00:21:39,320 --> 00:21:46,080 +Transcription لـ Cytokine و Cytokine ايه طبعاً بين + +239 +00:21:46,080 --> 00:21:49,080 +نشط الجينات اللي بتطلع لنا Cytokine و Cytokine + +240 +00:21:49,080 --> 00:21:54,220 +Receptor هذه هي تسلسل الأحداث اللي بتصير في الـ CD4 + +241 +00:21:54,220 --> 00:21:58,760 +أنه بمجرد ما يصير فيه رابطة فيه تنشيط التنشيط يتبع + +242 +00:21:58,760 --> 00:22:02,100 +فسفرة والفسفرة بتنشط Adaptor Protein والـ + +243 +00:22:02,100 --> 00:22:05,660 +Adaptor Protein بتنشط لنا الميكانزم اللي بيشر لنا احنا + +244 +00:22:05,660 --> 00:22:10,110 +تبع الـ inositol و الـ bisphosphate activation طبعاً + +245 +00:22:10,110 --> 00:22:14,050 +هذا بيتبعه وتنشيط لـ Phospholipase Enzyme و الـ + +246 +00:22:14,050 --> 00:22:18,330 +Phospholipase Enzyme محصلة نشاطه بيشتغل على اللي + +247 +00:22:18,330 --> 00:22:21,250 +هو الـ bisphosphate وبيحوله لـ triphosphate و + +248 +00:22:21,250 --> 00:22:25,450 +diacylglycerol وطبعاً بيصير في Activation لـ + +249 +00:22:25,450 --> 00:22:29,010 +Transcriptional Factor بتروح الـ Nucleus بتنشط + +250 +00:22:29,010 --> 00:22:32,450 +الجينات اللي مسؤولة عن تصنيع الـ Cytokine و الـ + +251 +00:22:32,450 --> 00:22:33,370 +cytokine receptor + +252 +00:22:36,440 --> 00:22:40,240 +وهذا الكلام هي مكتوب بالتفصيل binding of a C class + +253 +00:22:40,240 --> 00:22:48,480 +2 molecule مع ال TCR ماشي بينقلنا signal طبعا من + +254 +00:22:48,480 --> 00:22:56,180 +خلال الارتباط ب Zeta CD3 and Zeta molecule وطبعا + +255 +00:22:56,180 --> 00:23:00,600 +الرابط التاني ان هذي ال signal can cross the + +256 +00:23:00,600 --> 00:23:05,170 +membrane وشو بتعمل في الممبرين بتعمل اما aggregation + +257 +00:23:05,170 --> 00:23:14,630 +للـ TCR من جوا أو conformational changes في + +258 +00:23:14,630 --> 00:23:20,970 +Transmembrane region of TCR لتغير شكله بده يتنشط + +259 +00:23:20,970 --> 00:23:26,490 +تيروزين كاينيز system ويبدأ يضيف phosphate group + +260 +00:23:26,490 --> 00:23:31,990 +للـ تيروزين molecule اللي موجودة طبعا عندنا هنشوفها + +261 +00:23:31,990 --> 00:23:38,290 +تيروزين كاينيز associated with CD3Z هو مبارحة عن + +262 +00:23:38,290 --> 00:23:47,690 +الـ LCK و الـ SRC طبعا + +263 +00:23:47,690 --> 00:23:53,730 +هدول الـ LCK تابعة + +264 +00:23:53,730 --> 00:24:01,060 +للـ Src family و الـ Fyn تابع للـ Src family هذا هما + +265 +00:24:01,060 --> 00:24:07,360 +الاثنين بتنشطوا وبيعملوا clustering طبعا بنشطوا + +266 +00:24:07,360 --> 00:24:13,920 +اللي هو الـ ITM region بيعملونهم phosphorylation + +267 +00:24:14,610 --> 00:24:19,370 +وطبعا ما تمت فسفرته دول بيمثلوا قاعدة بيتنشط عليها + +268 +00:24:19,370 --> 00:24:26,030 +another tyrosine كينيزة منها ZAP 70 و ZAP 70 أيضا + +269 +00:24:26,030 --> 00:24:30,130 +بيعمل phosphorylation لـ adaptor protein عبارة عن + +270 +00:24:30,130 --> 00:24:35,710 +اللي هي الـ SLP 76 على سطح الـ cell membrane و بيكونوا + +271 +00:24:35,710 --> 00:24:40,390 +complex بيعمل signal transduction و بيكون الـ + +272 +00:24:40,390 --> 00:24:45,070 +immunological synapse الآن شو بيحصل في الـ + +273 +00:24:45,070 --> 00:24:48,310 +intracellular signaling؟ قلنا لأ ده إتر بروتين + +274 +00:24:48,310 --> 00:24:52,370 +ما تم تنشيطه ماشي و الـ activate intracellular + +275 +00:24:52,370 --> 00:24:56,510 +signaling كيف؟ جاله they bind with phospholipase-C + +276 +00:24:56,510 --> 00:25:00,150 +و بيعملوا phosphorylation من خلال الـ + +277 +00:25:00,150 --> 00:25:07,470 +phosphorylation بالذات بروتين و طبعا بيحول + +278 +00:25:07,470 --> 00:25:19,540 +الفوسفة دي بي فوسفيت الى الـ Diacylglycerol وطبعا + +279 +00:25:19,540 --> 00:25:23,180 +هذا بنشر الـ transcriptional factor اللي سميناه NF + +280 +00:25:23,180 --> 00:25:31,620 +-Kappa-B اتفقنا ان الـ ITAM هو عبارة عن immune + +281 +00:25:31,620 --> 00:25:39,980 +receptor tyrosine based activation motif اختصار + +282 +00:25:39,980 --> 00:25:47,800 +لمين؟ لـ ITAM Immunoreceptor Tyrosine Based + +283 +00:25:47,800 --> 00:25:54,520 +Activation Motif طبعا + +284 +00:25:54,520 --> 00:25:58,220 +دي سهلة طبعا زي ما أنتو شايفين اتفقنا على انه نفس + +285 +00:25:58,220 --> 00:26:02,740 +الحكاية انه بيصير فيه تنشيط لـ Triphosphate اللي + +286 +00:26:02,740 --> 00:26:06,560 +بتخش على الـ Endoplasmic reticulum و بتنشيط الـ + +287 +00:26:06,560 --> 00:26:09,720 +Calcineurin وهذا بينشط اللي هو another + +288 +00:26:09,720 --> 00:26:14,680 +transcriptional factor اللي هو NFAT فصار في عندنا + +289 +00:26:14,680 --> 00:26:18,080 +two transcriptional factors بتنشط وهذا الميكانيزم + +290 +00:26:18,080 --> 00:26:24,800 +مهم جدا في حالة اللي هو الـ transplantation لأنه في + +291 +00:26:24,800 --> 00:26:30,100 +دواء اسمها Cyclosporin A بيعمل inhibit اللي هو + +292 +00:26:30,100 --> 00:26:33,720 +graft rejection كل اللي بيعملونه بتبطل بالـ calcium + +293 +00:26:33,720 --> 00:26:37,720 +urine ماشي لما بتطلع من الـ endoplasmic reticulum + +294 +00:26:37,720 --> 00:26:46,960 +وبالتالي بيوقف نشاط الـ Calcineurin وبالتالي ما فيش graft + +295 +00:26:46,960 --> 00:26:52,680 +rejection هو بيأخر الـ graft rejection الراس + +296 +00:26:52,680 --> 00:26:56,860 +والراك اللي تواكن عليهم هم بيرعون النجوانيزين يكليوتا + +297 +00:26:56,860 --> 00:27:00,680 +اتباينزين بروتين شو بيعملوا جاله بنشطه سايتو + +298 +00:27:00,680 --> 00:27:06,790 +بلازميك كاسكيت او ميترجنيوم اتنشط المعاه بكاينيز + +299 +00:27:06,790 --> 00:27:09,810 +هو عبارة عن بروتين بيؤدي الى تنشيط لتقوى + +300 +00:27:09,810 --> 00:27:12,770 +transcription of another transcriptional factor + +301 +00:27:12,770 --> 00:27:17,050 +سموه AP1 صار في عندنا ثلاثة transcriptional factor + +302 +00:27:17,050 --> 00:27:22,270 +دول بينشطوا الجينات اللي مسؤولة عن تصنيع اللي هو + +303 +00:27:22,270 --> 00:27:26,590 +أولا بتكبر الخلية تطلعنا IL-2 عبارة عن cytokine + +304 +00:27:26,590 --> 00:27:30,370 +وده عبارة عن growth factor لهو receptor على سطح + +305 +00:27:30,370 --> 00:27:34,210 +الخلية نفسها التي هي الـ T-Lymphocyte وبالتالي + +306 +00:27:34,210 --> 00:27:38,710 +بيزيد نشاطها وعلى السطح وممكن تنشط خلايا أخرى من + +307 +00:27:38,710 --> 00:27:42,150 +الـ T-Lymphocyte يعني can act on the same cell or + +308 +00:27:42,150 --> 00:27:46,250 +different cell أو on different cell وهذا هي + +309 +00:27:46,250 --> 00:27:53,610 +الارتباط صار تنشطت الخلية وتنشطت الجينات المسؤولة + +310 +00:27:53,610 --> 00:27:58,310 +عن تصنيع IL-2 في IL-2 بيروحوا ومنشط ليش هذا هو + +311 +00:27:58,310 --> 00:28:03,690 +شغال على CD25 اللي هو عبارة عن IL-2 ريسبتور وهذا + +312 +00:28:03,690 --> 00:28:09,510 +بيتكون من polypeptide chain فبيروحوا يصفطوه متى + +313 +00:28:09,510 --> 00:28:14,090 +متصفطوا بيصير في proliferation للخلية وده وصار فيه + +314 +00:28:14,090 --> 00:28:18,430 +clonal expansion + +315 +00:28:20,910 --> 00:28:24,390 +هناك طرق ثانية لتنشيط T-Lymphocyte في عن طريق الـ + +316 +00:28:24,390 --> 00:28:26,950 +super antigen وقلنا ان الـ super antigen كان اكتفت + +317 +00:28:26,950 --> 00:28:31,170 +ده cell directly من برا لبرا خلال ارتباطه من برا + +318 +00:28:31,170 --> 00:28:37,050 +لبرا بالـ MHC موليكيول Mitogen another activator زي + +319 +00:28:37,050 --> 00:28:41,810 +الـ Concanavalin A والـ Phytohemagglutinin وكويد ميتوجين + +320 +00:28:41,810 --> 00:28:46,510 +كلهم عبارة عن ايش؟ عبارة عن Lectin موليكيول أيضا + +321 +00:28:46,510 --> 00:28:49,790 +بيشتغلوا as mitogen لـ T-Lymphocyte + +322 +00:28:51,390 --> 00:28:55,710 +حاجة تالتة Anti CD3 Anti body أيضا ارتباط الـ CD3 + +323 +00:28:55,710 --> 00:28:59,850 +بالـ Anti body بالـ Anti dot تبعه بيؤدي الى الـ + +324 +00:28:59,850 --> 00:29:03,630 +activation of T lymphocyte طيب هي الـ T lymphocyte + +325 +00:29:03,630 --> 00:29:11,270 +كم subset خلينا نشوف يلا CD4 can be activated + +326 +00:29:11,270 --> 00:29:15,330 +into four different subset four different subset + +327 +00:29:15,330 --> 00:29:19,250 +ماشي يبقى CD4 positive + +328 +00:29:21,160 --> 00:29:28,720 +انتقلت إلى أربع مجموعات مختلفة باعتبار موجودة في + +329 +00:29:28,720 --> 00:29:32,920 +مجموعات مختلفة في مجموعات مختلفة في مجموعات مختلفة + +330 +00:29:32,920 --> 00:29:33,820 +في مجموعات مختلفة في مجموعات مختلفة في مجموعات + +331 +00:29:33,820 --> 00:29:34,560 +مختلفة في مجموعات مختلفة في مجموعات مختلفة في + +332 +00:29:34,560 --> 00:29:35,140 +مجموعات مختلفة في مجموعات مختلفة في مجموعات مختلفة + +333 +00:29:35,140 --> 00:29:35,200 +في مجموعات مختلفة في مجموعات مختلفة في مجموعات + +334 +00:29:35,200 --> 00:29:38,560 +مجموعات مختلفة في مجموعات + +335 +00:29:38,560 --> 00:29:42,760 +مختلفة في مجموعات مختلفة + +336 +00:29:42,760 --> 00:29:48,400 +في مجموعات + +337 +00:29:48,970 --> 00:29:52,970 +ماشي فتي helper واحد اللي بتفرز لنا gamma interferon + +338 +00:29:52,970 --> 00:29:59,630 +و IL-2 و طبعا هذه بتنشط لنا macrophage و الـ CD8 + +339 +00:29:59,630 --> 00:30:04,390 +T-Lymphocyte وبعد مرات بتطلع تشترع الـ B-Lymphocyte + +340 +00:30:04,390 --> 00:30:09,990 +بتطلع فقط IgG3 طبعا في هذه الحالة شو الـ major + +341 +00:30:09,990 --> 00:30:14,030 +effect of function؟ طبعا cell mediated immunity + +342 +00:30:14,030 --> 00:30:17,430 +اللي من خلالها بنقتل الـ virus و الـ bacterial + +343 +00:30:18,470 --> 00:30:25,650 +Infected Host cell يعني Intra Cellular Organism كمان + +344 +00:30:25,650 --> 00:30:31,750 +CD4 ممكن تتحول الى T helper 2 اللي بتفرز لنا IL-4 + +345 +00:30:31,750 --> 00:30:38,630 +IL-5 IL-13 وطبعا في هذه الحالة اللي تشتغل على الـ eosinophil + +346 +00:30:38,630 --> 00:30:43,950 +و الـ B-cell eosinophil عشان تقتل ايش الـ + +347 +00:30:43,950 --> 00:30:49,730 +worms و الـ B lymphocytes بتطلع لنا Antibody من نوع + +348 +00:30:49,730 --> 00:30:57,870 +IgE و IgG4 غالبا الـ IgE for الهيرجين و IgG4 أيضا + +349 +00:30:57,870 --> 00:31:04,730 +for antiparasitic infection T-Helper-17 another + +350 +00:31:04,730 --> 00:31:12,170 +subset of CD4 اللي بتطلع لنا IL-17 و IL-22 وطبعا + +351 +00:31:12,170 --> 00:31:15,030 +هذه بتشتغل على Neutrophil و Epithelial cell و دي + +352 +00:31:15,030 --> 00:31:20,910 +عبارة عن Pro-inflammatory cell الـ response تبعها + +353 +00:31:20,910 --> 00:31:25,250 +بيكون في حالة الفنجاي و لوجود Extracellular + +354 +00:31:25,250 --> 00:31:33,250 +بكتيريا كمان الـ CD4 ممكن تكون عبارة عن Treg و Treg + +355 +00:31:33,250 --> 00:31:36,910 +من اسمها reg يعني regulatory بتشتغل على other + +356 +00:31:36,910 --> 00:31:42,300 +lymphocytes و بتعملهم inhibition يعني بتوقف شغلهم من + +357 +00:31:42,300 --> 00:31:45,600 +خلال ايش؟ من خلال إفراز الـ Transforming Growth + +358 +00:31:45,600 --> 00:31:50,280 +Factor Beta-Cytokine و الـ IL-10 وبالتالي بتعمل + +359 +00:31:50,280 --> 00:31:53,140 +Inhibition للـ Function of Other Sets of T + +360 +00:31:53,140 --> 00:31:57,460 +-Lymphocytes and Non-T-Lymphocytes وفي عندنا four + +361 +00:31:57,460 --> 00:32:03,380 +subset of CD4 طبعا + +362 +00:32:03,380 --> 00:32:05,800 +الـ T-helper واحد و T-helper اتنين اللي طبعا حكيناهم + +363 +00:32:05,800 --> 00:32:12,240 +جايين من T-helper Mode اللي هي في الأساس ماشي على + +364 +00:32:12,240 --> 00:32:16,720 +T-helper واحد بتصنع IL-2 و Gamma Interferon و + +365 +00:32:16,720 --> 00:32:19,420 +tumor necrosis factor beta اللي هو الـ lymphotoxin + +366 +00:32:19,420 --> 00:32:24,320 +و T-helper واحد cytokine اللي بيطلعوا منها ايضا + +367 +00:32:24,320 --> 00:32:28,360 +بيعملوا cell mediated immunity وبالتالي بنشط CD8 + +368 +00:32:28,360 --> 00:32:35,300 +و NK cell and macrophage طب what about T-helper + +369 +00:32:35,300 --> 00:32:42,310 +two؟ الـ Th2 بتطلع إلى الـ IL-4, IL-5 و IL-13. طبعا + +370 +00:32:42,310 --> 00:32:48,450 +هذه ستشغل B-cells والبرامج التي تتغير إلى IgE و IgG-4 + +371 +00:32:48,450 --> 00:32:54,110 +وفي حالة وجود الـ IL-5 يمكن أن تشغّل الـ eosinophil. + +372 +00:32:54,590 --> 00:32:59,650 +فالـ Th2 ليه الجدول التواعد تلقائيا؟ Virus and + +373 +00:32:59,650 --> 00:33:06,760 +Bacteria بتحبذ وجود أو تنشيط أو تحفيز T-helper واحد + +374 +00:33:06,760 --> 00:33:12,960 +بينما الـ allergen والـ Parasites بدهم اللي هو T-helper 2 + +375 +00:33:12,960 --> 00:33:18,420 +الـ cytokine اللي طالع من T-helper واحد تعمل انهيبش + +376 +00:33:18,420 --> 00:33:23,280 +لفنكشن تيهيلبر 2 واللي طالع من تيهيلبر 2 تعمل + +377 +00:33:23,280 --> 00:33:33,330 +انهيبش ليش لتيهيلبر 1 T-L-B-R-17 سبسيط تطلعنا آيال + +378 +00:33:33,330 --> 00:33:37,790 +17 family cytokine وده عبارة عن pro-inflammatory + +379 +00:33:37,790 --> 00:33:43,990 +cytokine موجودة في different cell types أيضا they + +380 +00:33:43,990 --> 00:33:49,870 +respond to fungi and some extracellular bacteria. + +381 +00:33:49,870 --> 00:33:55,410 +ring أخر واحدة بتعمل inhibition ل other cell + +382 +00:33:55,410 --> 00:33:56,750 +function + +383 +00:34:00,160 --> 00:34:08,000 +هذا سيكون إدعى بـ Cell-to-Cell Contact أو بـ + +384 +00:34:08,000 --> 00:34:10,600 +Synthesis of Certain Inhibitory Cytokines مثلًا + +385 +00:34:10,600 --> 00:34:15,020 +Transforming Growth Factor Beta و IL-10 الـ + +386 +00:34:15,020 --> 00:34:22,160 +Cytokine يدفع الاتصال إلى مجموعة خاصة من الـ CD4 T + +387 +00:34:22,160 --> 00:34:26,740 +Cell كما رأينا في الفيجارة كما سنرى إن شاء الله + +388 +00:34:27,150 --> 00:34:32,010 +يبقى من يلعب دور في تحديد نوع ال site ال CD4 اللي + +389 +00:34:32,010 --> 00:34:39,550 +بدها تطلع هي ال cytokine فزي + +390 +00:34:39,550 --> 00:34:44,310 +ما انتوا شايفين في حالة وجود ده يعني عندى CD4 + +391 +00:34:44,310 --> 00:34:48,230 +سموها T helper node في حالة وجود IL-12 sorry + +392 +00:34:48,230 --> 00:34:52,830 +بتتمشط اللي هو T helper one في حالة وجود IL-4 + +393 +00:34:52,830 --> 00:34:56,290 +بتتمشط T helper two في حالة وجود Transform Growth + +394 +00:34:56,290 --> 00:35:00,110 +Factor Beta واحد وعشرين آيال واحد وعشرين تطلع + +395 +00:35:00,110 --> 00:35:05,590 +تهيلبر سبنتين في حالة وجود Transform Growth Factor + +396 +00:35:05,590 --> 00:35:07,910 +Beta alone تطلع تهيلبر سبنتين تطلع تهيلبر سبنتين + +397 +00:35:07,910 --> 00:35:22,590 +تطلع تهيلبر سبنتين تطلع تهيلبر سبنتين + +398 +00:35:23,630 --> 00:35:30,390 +T117 لغاية لان ما لم تسجل انه انهيبوتري اكشن لها + +399 +00:35:30,390 --> 00:35:35,610 +تحول ال truth factor بيتا بعمل انهيبش لكل ال other + +400 +00:35:35,610 --> 00:35:42,850 +T lymphocytes cytokine synthesized by cells of + +401 +00:35:42,850 --> 00:35:48,310 +innate immune response. This will influence + +402 +00:35:48,310 --> 00:35:52,350 +the differentiation to specific subset of CD4 يعني + +403 +00:35:52,350 --> 00:35:55,690 +الـ cytokine اللي طلعت زي ما أولا شوفناها من + +404 +00:35:55,690 --> 00:36:02,730 +الخلايا اللي هي الـ innate immune cell هي من يحدد + +405 +00:36:02,730 --> 00:36:10,090 +نوع CD4 subset اللي بده يتكون وخصوصا + +406 +00:36:11,200 --> 00:36:15,000 +اللي هو الـ immune cell الـ innate immune cell زي + +407 +00:36:15,000 --> 00:36:18,400 +الـdendritic cell نخص بالذكر اللي هو الـdendritic + +408 +00:36:18,400 --> 00:36:21,820 +cell الخلايا الانتقالية هي الخلايا الانتقالية هي + +409 +00:36:21,820 --> 00:36:29,280 +الخلايا الانتقالية هي الخلايا + +410 +00:36:29,280 --> 00:36:32,280 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +411 +00:36:32,280 --> 00:36:33,200 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +412 +00:36:33,200 --> 00:36:34,900 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +413 +00:36:34,900 --> 00:36:38,180 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +414 +00:36:38,180 --> 00:36:40,000 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +415 +00:36:40,000 --> 00:36:41,400 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +416 +00:36:41,400 --> 00:36:44,000 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +417 +00:36:44,000 --> 00:36:47,080 +الانتقالية + +418 +00:36:47,080 --> 00:36:49,480 +هي الخلايا الانتقالية هي الخلايا الانتقالية هي + +419 +00:36:49,480 --> 00:36:53,590 +الخلايا ماشي بال third signal قلنا بدنا two signal + +420 +00:36:53,590 --> 00:36:58,210 +عشان نشرة ال T cell و ال role of cytokine في هذه + +421 +00:36:58,210 --> 00:37:04,590 +المرحلة بيعتبر اللي هو ال third signal اللي تلعب + +422 +00:37:04,590 --> 00:37:16,230 +دور كبير in addition to signal واحد و اتنين طبعا + +423 +00:37:16,230 --> 00:37:21,430 +في cooperation between T و B طبعا كلكم بدى عرفوا ان + +424 +00:37:21,430 --> 00:37:25,370 +ال T cell كان ال B cell sorry can act as antigen + +425 +00:37:25,370 --> 00:37:31,050 +presenting cell هي على سطحة PCR مسك في antigen + +426 +00:37:31,050 --> 00:37:36,590 +أخدته وعملت له processing وطلعته مرتبط بMHC class + +427 +00:37:36,590 --> 00:37:42,610 +2 موليكيول على سطحة أداية this كان يعني بعد ذلك + +428 +00:37:42,610 --> 00:37:50,150 +this cell كان traffic ماشي to اللي هو T cell area + +429 +00:37:50,150 --> 00:37:54,770 +وبتقدم ال antigen ل CD4 T lymphocyte يبقى في + +430 +00:37:54,770 --> 00:37:59,650 +cooperation هو cooperation between T and B + +431 +00:37:59,650 --> 00:38:05,310 +lymphocytes ولاحظوا ال response اللي بيصير ماشي ال + +432 +00:38:05,310 --> 00:38:10,350 +response اللي بيصير في حالة ال T dependent antigen + +433 +00:38:10,350 --> 00:38:12,430 +في أنها antigen + +434 +00:38:19,960 --> 00:38:25,620 +والتاني هذا هو مبين واحد اتعرفت عليه T-lymphocyte + +435 +00:38:25,620 --> 00:38:32,980 +وبيعتبر T cell antigen أيه اتاخد ونعمله processing + +436 +00:38:32,980 --> 00:38:36,620 +by antigen presenting cell واتقدم لمين؟ لـ T + +437 +00:38:36,620 --> 00:38:43,980 +-helper cell والتاني هذا هو ال Epitope C اللي هو + +438 +00:38:43,980 --> 00:38:49,290 +is specific for B lymphocyte ماشي بيصير فيه new + +439 +00:38:49,290 --> 00:38:52,210 +response بس شرط أساسي ان ال two epitopes يكونوا + +440 +00:38:52,210 --> 00:38:58,290 +the same antigen ماشي هذه بتتنشط و بتنشط لل + +441 +00:38:58,290 --> 00:39:04,030 +feeling for sides اللي بتطلع antibody ماشي و + +442 +00:39:04,030 --> 00:39:13,030 +بتخلصنا من ال antigen مرة تانية بنذكركوا بال co ال + +443 +00:39:13,030 --> 00:39:17,720 +interaction between اللي هوالـ T-cell و الـ B-cell + +444 +00:39:17,720 --> 00:39:22,640 +كل + +445 +00:39:22,640 --> 00:39:26,600 +البروتين يعتمد على الـ Thymus في حالة بروتين تهو + +446 +00:39:26,600 --> 00:39:32,200 +اللي شرحناه Thymus dependent antigen لأنهم يحتاجوا + +447 +00:39:32,200 --> 00:39:38,620 +الـ CD4 T-cell للمساعدة للمساعدة أو التعاون مع الـ + +448 +00:39:38,620 --> 00:39:42,920 +B-cell لتنسيق الانتيبادي يبقى هو ال T dependent + +449 +00:39:42,920 --> 00:39:47,850 +antigen أوT-dependent immune response اللي بيحصل + +450 +00:39:47,850 --> 00:39:52,090 +في cooperation بين الـB والـT-Lymphocytes ليش؟ + +451 +00:39:52,090 --> 00:39:56,170 +لأنه مطلوب مساعدة الـT-Helper Cell في تنشيط الـB + +452 +00:39:56,170 --> 00:40:02,810 +-Lymphocyte في تكوين الـAntibody The set of CD4 + +453 +00:40:02,810 --> 00:40:08,130 +cell that participate in antibody response بتسمى + +454 +00:40:08,130 --> 00:40:15,060 +as Helper T-Lymphocytes نوع الـCD4اللي بيساعد في + +455 +00:40:15,060 --> 00:40:19,380 +تكوين الـ antibody بيسموها T helper cell طبعا T و + +456 +00:40:19,380 --> 00:40:22,520 +B cell must be specific for a particular antigen + +457 +00:40:22,520 --> 00:40:26,560 +والابيتوب مرة تانية must be part of the same + +458 +00:40:26,560 --> 00:40:32,100 +protein sequence. + +459 +00:40:32,100 --> 00:40:34,400 +T helper cell and B cell may respond to different + +460 +00:40:34,400 --> 00:40:39,780 +epitope in the antigen. طبعا ال T helper cell اللي + +461 +00:40:39,780 --> 00:40:44,360 +قلنا لل internal epitope الذي يتم إجراءه خلال عملية + +462 +00:40:44,360 --> 00:40:44,740 +عملية عملية عملية عملية عملية عملية عملية عملية + +463 +00:40:44,740 --> 00:40:56,680 +عملية عملية عملية عملية عملية + +464 +00:41:00,730 --> 00:41:05,390 +التعرف المشترك في هذه الحالة B cell can act as + +465 +00:41:05,390 --> 00:41:14,910 +antigen-presenting cell for CD4-T cell 10.6 ل 10.7 + +466 +00:41:14,910 --> 00:41:17,990 +بيبين ان ال interaction between B and T lymphocyte + +467 +00:41:18,450 --> 00:41:24,710 +وهي مهمة جدًا لإيقاف الـ B وT لنفسيات. ولا ننسى أن + +468 +00:41:24,710 --> 00:41:29,350 +هناك + +469 +00:41:29,350 --> 00:41:33,530 +إرتباط في هذه الحالة من الـ CD4-T4-T-Ligand اللي + +470 +00:41:33,530 --> 00:41:41,050 +يتطلب إيقاف B-cell لتغيير IGM من IGM إلى IGG أو + +471 +00:41:41,050 --> 00:41:47,670 +إلى أشخاص أخرى. هذا هو إيقاف CD8. هل رأينا إيقاف T4 + +472 +00:41:47,670 --> 00:41:53,450 +-Cell؟ علاقتها بالـ B-Lymphocyte هنا في activation + +473 +00:41:53,450 --> 00:41:59,170 +لـ T-Cytotoxic T-Cytotoxic تتنشط بأكثر من طريقة + +474 +00:41:59,170 --> 00:42:04,550 +ماشي بدنا نشوف الطرق اللي بتتنشط فيها الـ T + +475 +00:42:04,550 --> 00:42:09,870 +-Cytotoxic جانوا إما من خلال ماشي هذه الـ T + +476 +00:42:09,870 --> 00:42:15,490 +-Cytotoxic على سطحها أيضا CD8 هي عبارة عن CD8 T + +477 +00:42:15,490 --> 00:42:20,030 +-Cell وعلى سطحها TCR هو أن الـ CD8 تسيل بتقدم + +478 +00:42:20,030 --> 00:42:25,050 +الانتجين إليها من أي سيل في الجسم اللي على سطحها MHC + +479 +00:42:25,050 --> 00:42:32,530 +Class 1 أو Class 2 ماشي؟ شو اللي بيصير؟ يعني في + +480 +00:42:32,530 --> 00:42:35,490 +البداية الـ Antigen Presenting Cell تتعرف عليها + +481 +00:42:35,490 --> 00:42:40,450 +الفيروس اللي بيخش و بتاخده و بتعمله Processing و + +482 +00:42:40,450 --> 00:42:46,070 +بتقدمه لـ CD4 في نفس الوقت عندما يدخل الانتجن + +483 +00:42:46,070 --> 00:42:49,490 +الانتراسيلولاري الانتجن اللي هو the same انتجن + +484 +00:42:49,490 --> 00:42:54,850 +الانتراسيلولاري يتقدم + +485 +00:42:54,850 --> 00:42:55,790 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +486 +00:42:55,790 --> 00:43:04,410 +يتقدم + +487 +00:43:04,410 --> 00:43:05,870 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +488 +00:43:05,870 --> 00:43:06,050 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +489 +00:43:06,050 --> 00:43:07,830 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +490 +00:43:07,830 --> 00:43:10,180 +الانتجن الانتجن الانتجن الانوالحاجة التانية هو + +491 +00:43:10,180 --> 00:43:13,860 +اللي CD4 كانت شايف الـ Antigen مقدّم لها من الـ + +492 +00:43:13,860 --> 00:43:18,440 +Antigen Presenting Cell واتنشطت وطلعت IL-2 اللي IL + +493 +00:43:18,440 --> 00:43:21,280 +-2 مع ال .. إيش؟ ال second signal .. ال first + +494 +00:43:21,280 --> 00:43:25,240 +signal هذه بصير فيه activation للـ T-Cytotoxic + +495 +00:43:25,240 --> 00:43:29,800 +lymphocyte اللي الحاجة التانية أو ال pathway + +496 +00:43:29,800 --> 00:43:33,420 +التاني اللي تتنشط فيه T-Cytotoxic حاجة بيسموها + +497 +00:43:33,420 --> 00:43:38,860 +cross-priming شو يعني؟ قالوا واللهنفس الخلية + +498 +00:43:38,860 --> 00:43:45,160 +المصابة Target Cell بتلعب دور كاله اللي هو ال + +499 +00:43:45,160 --> 00:43:51,360 +Antigen Presenting Cell وبتقدم + +500 +00:43:51,360 --> 00:43:58,260 +ال Antigen مباشرة لاللي هو Class I ده هو مع CD8 + +501 +00:43:58,260 --> 00:44:05,480 +وبتحفظ الـ Co-Stimulation وبالتالي بيصير فيه نشاط + +502 +00:44:05,480 --> 00:44:09,080 +Lactate Cytotoxic وما حصلت نشاط التساعة + +503 +00:44:09,080 --> 00:44:15,580 +التوكسيكالية الموجود في هذه الصورة نشطت فعملت ايش؟ + +504 +00:44:15,580 --> 00:44:18,840 +عملت accumulation للـ granules اللي في داخلها + +505 +00:44:18,840 --> 00:44:26,540 +وبالتالي قتلت الخلية عملت degranulation بعد هي + +506 +00:44:26,540 --> 00:44:31,320 +فقتلت الخلية المصابة وبتقتلها من خلال تو ميكانيزم + +507 +00:44:31,320 --> 00:44:35,220 +الأولان هي الـ degranulation اللي بتحتوي على الـ + +508 +00:44:35,220 --> 00:44:41,040 +Perforin والوظيفته انه يكون انها channel + +509 +00:44:41,040 --> 00:44:46,880 +يخرج الخلية ويكون قناع والـ Granzyme اللي هو المادة + +510 +00:44:46,880 --> 00:44:48,920 +التانية أو اللي هو الهرمون التاني اللي يخرج عبارة + +511 +00:44:48,920 --> 00:44:53,900 +عن Serine Protease enzyme بيخش من خلال الـ channel + +512 +00:44:53,900 --> 00:44:57,280 +اللي اتكونت وبروحه وعمل induction لـ apoptosis + +513 +00:44:58,140 --> 00:45:02,500 +بالإضافة لهذا الـ mechanism في عندنا رابط على بدء + +514 +00:45:02,500 --> 00:45:07,180 +التتكوّن هو الـ Fas Ligand اللي موجود على الـ .. + +515 +00:45:07,180 --> 00:45:13,520 +اللي هو الـ T-Cytotoxic مرتبط بالـ Fas اللي هو + +516 +00:45:13,520 --> 00:45:18,220 +الـ Death Domain Death Receptor موجود على معظم + +517 +00:45:18,220 --> 00:45:22,650 +خلايا جسم الإنسان فبرضه التاني بيعمل induction + +518 +00:45:22,650 --> 00:45:27,510 +لـ Apoptosis بتنشط Apoptosis ميكانيزم وبيعمل قتل + +519 +00:45:27,510 --> 00:45:33,810 +ليش للخلية المصابة بجانب خلال الـ contact between T + +520 +00:45:33,810 --> 00:45:39,490 +Cytotoxic Lymphocyte والـ target cell بيصير فيه + +521 +00:45:39,490 --> 00:45:44,390 +Degranulation لتو إنزايم واحد اسمه Perforin بيخرج + +522 +00:45:44,390 --> 00:45:48,650 +الخلية والتاني اسمه Granzyme وبعمل طبعا + +523 +00:45:48,650 --> 00:45:52,030 +Polyperforate Channel والتاني اسمه Granzyme اللي + +524 +00:45:52,030 --> 00:45:56,630 +بيخش في داخل الخلية ويقتلها من خلال Induction of + +525 +00:45:56,630 --> 00:46:01,350 +Apoptosis طبعا هذا بالإضافة لارتباط الـ Fas Ligand مع + +526 +00:46:01,350 --> 00:46:06,130 +الـ Fas وده عبارة عن Death Receptor بيقتلنا أيضا + +527 +00:46:06,130 --> 00:46:12,840 +Induce Apoptosis ويقتل الخلية وطبعا هذا هو الكلام + +528 +00:46:12,840 --> 00:46:17,920 +اللي شرحناه مكتوب CD8 T Lymphocyte can kill cell + +529 +00:46:17,920 --> 00:46:23,380 +اللي هو Infected with Bacteria or Viruses as well + +530 +00:46:23,380 --> 00:46:27,580 +as Transplanted Foreign Cell الحكينا بيصير فيه + +531 +00:46:27,580 --> 00:46:31,780 +ارتباط بين عبارة من MHC Class 1 و CD8 ثم بيصير فيه + +532 +00:46:31,780 --> 00:46:34,640 +Cytokine Release زي Gamma Interferon Tumor + +533 +00:46:34,640 --> 00:46:39,980 +Necrosis Factor Beta و IL-4 وطبعا هذا الـ Activation + +534 +00:46:39,980 --> 00:46:45,220 +بيعمل Signal Transduction لـ Release of IL-12 و IL + +535 +00:46:45,220 --> 00:46:49,500 +-12 Signal بيحصل في الـ Synthesize من الـ + +536 +00:46:49,500 --> 00:46:51,860 +Dendritic Cell أو من الـ Innate Immune Response + +537 +00:46:51,860 --> 00:47:00,680 +وبالتالي بيحصل في Activation لـ CD8 و CD95 + +538 +00:47:02,240 --> 00:47:07,900 +موجود على الـ Naive T Lymphocytes دخل الانتيجنت نشطت + +539 +00:47:07,900 --> 00:47:16,140 +طلعت لي حاجتين فده CD178 + +540 +00:47:16,140 --> 00:47:24,780 +اللي هو عبارة عن CD95 Ligand أما بطلع بروتين بطبط + +541 +00:47:24,780 --> 00:47:31,460 +بالـ Fas CD95 أما بيصير في ارتباط مباشر ما بين الـ CD + +542 +00:47:31,460 --> 00:47:37,540 +95 و Ligand والمحصلة Death of Cell by Apoptosis + +543 +00:47:40,770 --> 00:47:45,310 +طبعا في Adhesion Molecule صارت ما بين الـ .. صار في + +544 +00:47:45,310 --> 00:47:50,410 +Contact ما بين الـ T Cell و الـ Target Cell و هو + +545 +00:47:50,410 --> 00:47:56,330 +طبعا هذا الـ Contact بيتم من خلال Adhesion Molecule + +546 +00:47:56,330 --> 00:48:02,310 +على سطح الخلايا و هو اللي بيقعد Several Hours و + +547 +00:48:02,310 --> 00:48:06,890 +Once CD8 is Activated بتطلع لنا Granules و الـ + +548 +00:48:06,890 --> 00:48:09,890 +Granules هي اللي بتقتل هي برانسايتو Toxic Protein + +549 +00:48:10,690 --> 00:48:15,490 +أيضا Express CD178 اللي هو عبارة عن Fas Ligand + +550 +00:48:15,490 --> 00:48:20,330 +وطبعا بيصير فيه قتل والقتل بيتم من خلال + +551 +00:48:20,330 --> 00:48:24,830 +Exocytosis فبتطلع إن الـ Perforin والـ Granzyme الـ + +552 +00:48:24,830 --> 00:48:28,450 +Perforin بيعمل Ring-like Transmembrane Channel + +553 +00:48:28,450 --> 00:48:33,750 +والـ Granzyme هو عبارة عن Serine Esterase Enzyme و + +554 +00:48:33,750 --> 00:48:37,960 +بيخش من خلال الـ Channel و Induce Apoptosis طبعا لن + +555 +00:48:37,960 --> 00:48:40,980 +ننسى ان هناك Granulysin Granulysin Granulysin + +556 +00:48:40,980 --> 00:48:42,400 +Granulysin Granulysin Granulysin Granulysin + +557 +00:48:42,400 --> 00:48:43,320 +Granulysin Granulysin Granulysin Granulysin + +558 +00:48:43,320 --> 00:48:48,140 +Granulysin Granulysin Granulysin Granulysin + +559 +00:48:48,140 --> 00:48:58,440 +Granulysin Granulysin Granulysin Granulysin + +560 +00:48:58,440 --> 00:49:01,720 +Granulysin + +561 +00:49:01,720 --> 00:49:08,230 +Granulysin Granulysin Granulysin Granulysin طبعاً + +562 +00:49:08,230 --> 00:49:13,370 +عندما ينتهي الـ CD8 في البروسيس من خلال الـ + +563 +00:49:13,370 --> 00:49:18,310 +Detaching تنفصل وتذهب لتمسك في خلية مصابة أخرى في + +564 +00:49:18,310 --> 00:49:23,650 +تاريخ التسلتانية وبتعمل Additional Killing على الـ + +565 +00:49:23,650 --> 00:49:28,930 +Target ملاحظة جدا مهمة و Non-functional Non + +566 +00:49:28,930 --> 00:49:33,870 +-Infectious Antigen ماشي أو بين وسيلة Killed + +567 +00:49:33,870 --> 00:49:40,350 +Virus Do Not Trigger CD8 T Cell Response ما بنشرت + +568 +00:49:40,350 --> 00:49:44,770 +الـ CD8 طيب + +569 +00:49:44,770 --> 00:49:48,870 +نيجي لنقطة مهمة أخرى اللي هي الـ Conjugate Vaccine + +570 +00:49:48,870 --> 00:49:52,470 +يعني على الـ Vaccine شو وظيفته هو وظيفته انه ايش + +571 +00:49:52,470 --> 00:49:58,810 +انه يزود الـ Immune Response ويزود مناعتنا شو اللي + +572 +00:49:58,810 --> 00:50:01,950 +بيصير لعمل Conjugate Vaccine على الـ + +573 +00:50:04,950 --> 00:50:09,790 +Polysaccharides هده هنشوفها مرتبطة ببروتين معين + +574 +00:50:09,790 --> 00:50:13,730 +أيه Conjugate Vaccine Utilize the principle of + +575 +00:50:13,730 --> 00:50:19,190 +Linked Recognition to generate TD Response كل اللي + +576 +00:50:19,190 --> 00:50:23,610 +بيصير انه احنا من خلال Conjugate Vaccine بنعمل + +577 +00:50:23,610 --> 00:50:29,670 +Activation for B Cell من خلال TD Dependent + +578 +00:50:29,670 --> 00:50:36,060 +Response اللي تم شرحنا في Figure 10.11 وطبعا في هذه + +579 +00:50:36,060 --> 00:50:41,660 +الحالة تتنشط الـ T Cell عشان تنشط لنا الـ B Cell + +580 +00:50:41,660 --> 00:50:47,120 +تينتين بتعرفوا على Two Antigen on the Same Two + +581 +00:50:47,120 --> 00:50:51,100 +Epitopes Sorry on the Same Antigen احسن مثال على هذا + +582 +00:50:51,100 --> 00:50:56,800 +الموضوع Tetanus Toxoid اللي بينعطى وبالتالي زي ما + +583 +00:50:56,800 --> 00:51:01,000 +قلنا بيصير فيه اللي هو T Dependent Action + +584 +00:51:01,000 --> 00:51:07,380 +بالمناسبة في الـ T سيكون هناك تغيير لـ Isotype يمكن + +585 +00:51:07,380 --> 00:51:14,060 +أن يكون الـ IgG يتكوّن ويتكوّن الـ Memory Cell + +586 +00:51:14,060 --> 00:51:17,900 +تتكوّن وهذا هو مثال الـ Polysaccharide لحاله + +587 +00:51:17,900 --> 00:51:21,020 +قالوا أن هذا عبارة عن أنتجين كبير يعمل الـ Direct + +588 +00:51:21,020 --> 00:51:26,100 +T Independent اللي هو B Cell Activation وهذا + +589 +00:51:26,100 --> 00:51:32,280 +بيطلع منها اللي هي IgM ماشي وهذا بيصير في حالتين + +590 +00:51:32,280 --> 00:51:35,360 +لما يكون في عندنا اللي هو Polysaccharide بيعدى + +591 +00:51:35,360 --> 00:51:39,720 +الشكل الكبير ماشي بيطلع لنا IgM مباشرة بنشط الخلية + +592 +00:51:39,720 --> 00:51:43,540 +مباشرة أو في حالة غياب الـ T-Helper Cell أو T-Cell + +593 +00:51:43,540 --> 00:51:47,240 +3 في حالة غياب الـ T-Cell لإن عند الناس اللي ما + +594 +00:51:47,240 --> 00:51:52,840 +عندهم T-Cell This Mechanism also can be activated + +595 +00:51:52,840 --> 00:52:03,720 +التاني هذا هو الـ Epitopes موجود في T-Cell Antigen + +596 +00:52:05,030 --> 00:52:08,130 +مرتبط بـ Polysaccharide وهي عبارة عن Antigen + +597 +00:52:08,130 --> 00:52:12,550 +Polysaccharide بتنشط اللي هو عبارة عن B Cell Antigen + +598 +00:52:12,550 --> 00:52:19,550 +وفي Internal Antigen ده هو اتعرفت عليه أو اتقدم للـ + +599 +00:52:19,550 --> 00:52:24,010 +T Lymphocytes فالـ T Lymphocytes نشطت نشطت لمين؟ الـ + +600 +00:52:24,010 --> 00:52:28,190 +B Lymphocytes وصار في تكوين لها T Dependent + +601 +00:52:28,190 --> 00:52:33,220 +Response وحصلت IgG بيصير فيه Class Switching + +602 +00:52:33,220 --> 00:52:39,960 +وبالتالي بدينا Any Other Antigen لاتنسى ان الانتجن + +603 +00:52:39,960 --> 00:52:46,900 +الاسبسيفيك ماشي اللي هو CD4 T Cell بيصل Need to + +604 +00:52:46,900 --> 00:52:51,580 +Interact عشان يصير فيه Generation لـ Antibody + +605 +00:52:51,580 --> 00:52:58,220 +Response Antibody في الـ TD Antigen Response الـ + +606 +00:52:58,220 --> 00:53:07,090 +Epitopes هو الـ T Cell و B Cell Recognize الـ Epitopes + +607 +00:53:07,090 --> 00:53:14,190 +التي يجب أن تكون جزء من أسلحة الانتجين الـ Linked + +608 +00:53:14,190 --> 00:53:15,530 +Recognition الـ Linked Recognition الـ Linked + +609 +00:53:15,530 --> 00:53:16,790 +Recognition الـ Linked Recognition الـ Linked + +610 +00:53:16,790 --> 00:53:18,650 +Recognition الـ Linked Recognition الـ Linked + +611 +00:53:18,650 --> 00:53:19,530 +Recognition الـ Linked Recognition الـ Linked + +612 +00:53:19,530 --> 00:53:19,550 +Recognition الـ Linked Recognition الـ Linked + +613 +00:53:19,550 --> 00:53:24,550 +Recognition الـ Linked + +614 +00:53:24,550 --> 00:53:30,110 +Recognition بتتكوّن ثم الـ Co-Stimulatory في البداية + +615 +00:53:30,110 --> 00:53:37,750 +فمحصلته بيصير فيه Antibody Production الـ CD4 CD4 + +616 +00:53:37,750 --> 00:53:42,270 +Ligand والـICOS and ICOS Ligand أيضا هي عبارة عن + +617 +00:53:42,270 --> 00:53:47,950 +روابط موجودة على الـ B والـ T Lymphocytes بتتنشط من + +618 +00:53:47,950 --> 00:53:52,790 +خلالهم T Cell وبتطلع لنا Cytokine و الـ B Cell + +619 +00:53:52,790 --> 00:53:58,290 +بتطلع لنا Antibody وطبعا الـ Cytokine اللي يتصنع By + +620 +00:53:58,290 --> 00:54:02,750 +T Cell هو من يحدد نوع الـ Isotype أو الـ Antibody + +621 +00:54:02,750 --> 00:54:06,250 +اللي بده يطلع من الـ B Lymphocytes بعد الـ Antigen + +622 +00:54:06,250 --> 00:54:11,270 +زي الـ Polysaccharide ماشي اللي عنده That Have Many + +623 +00:54:11,270 --> 00:54:15,650 +Repeating Epitopes هو الـ T-Cell Independent زي + +624 +00:54:15,650 --> 00:54:18,390 +ما قلنا هو بيكون Antibody أو بنشط B Lymphocyte + +625 +00:54:18,390 --> 00:54:22,750 +اللي بتكون Antibody مباشرة هذا الـ Response زي ما + +626 +00:54:22,750 --> 00:54:32,270 +قلنا بيصير في حالات الناس + +627 +00:54:32,270 --> 00:54:39,110 +اللي ما عندهم functional thymus أو عندهم الـ T cell + +628 +00:54:39,110 --> 00:54:47,650 +make a response to T-antigen pathway + +629 +00:54:47,650 --> 00:54:52,820 +الانتراثيلنار تتعامل بالاكتفاء عن البيسلهو يشبه + +630 +00:54:52,820 --> 00:54:57,230 +الـ activation pathway of CD4 to CD8 والـ signal + +631 +00:54:57,230 --> 00:55:01,850 +طبعا اللي بتصير ماشي through the antigen specific + +632 +00:55:01,850 --> 00:55:08,650 +PCR can be modulated positively via the B cell receptor + +633 +00:55:08,650 --> 00:55:12,890 +وnegatively for example via the low + +634 +00:55:12,890 --> 00:55:16,290 +affinity Fc receptor يعني إما بيصير في enhancement + +635 +00:55:16,290 --> 00:55:22,170 +or inhibition للإشارة وبالتالي هذا نوع من ال + +636 +00:55:22,170 --> 00:55:30,970 +modulation بيتحكم بالـ Response اللي بيطلع بهيك + +637 +00:55:30,970 --> 00:55:35,710 +بنكون أنهينا المحاضرة و diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FDZuFMrrmm8_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FDZuFMrrmm8_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..8f9df659fb59d810fc4aaeac14dd438047b2b6c9 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FDZuFMrrmm8_raw.srt @@ -0,0 +1,2568 @@ +1 +00:00:02,040 --> 00:00:06,920 +بسم الله الرحمن الرحيم نلتقى اليوم في محاضرة جديدة + +2 +00:00:06,920 --> 00:00:10,300 +بعنوان activation and function of T and B cell + +3 +00:00:10,300 --> 00:00:19,060 +طبعا activation of T and B cell + +4 +00:00:22,810 --> 00:00:27,750 +محصلته proliferation and differentiation into an + +5 +00:00:27,750 --> 00:00:31,510 +effector cell and memory cell تنقسم الخلية سلها + +6 +00:00:31,510 --> 00:00:35,290 +proliferation and differentiation وتنقسم الخلية + +7 +00:00:35,290 --> 00:00:38,430 +تدينا two types of cell واحدة effector واحدة + +8 +00:00:38,430 --> 00:00:44,290 +memory cellال activation of T cell محصلتها + +9 +00:00:44,290 --> 00:00:47,730 +secretion of cytokine يعني بعد ما تتنشط ال T + +10 +00:00:47,730 --> 00:00:52,330 +lymphocyte اللي بتلايلنا cytokine و طبعا ال + +11 +00:00:52,330 --> 00:00:56,970 +cytokine بيأثر على خلايا كثيرة وال activation of B + +12 +00:00:56,970 --> 00:01:01,880 +cell محصلتها إنتاج antibody productionهذه الصورة + +13 +00:01:01,880 --> 00:01:07,260 +بتبين انها كيف بتتم عملية اللي هو بداية ال + +14 +00:01:07,260 --> 00:01:10,980 +response احنا اتفقنا ان ال B لنفسه ساعد و ال D + +15 +00:01:10,980 --> 00:01:25,970 +لنفسه ساعد بمجرد انهم ماتورينطبعا هم هومينج هم هم + +16 +00:01:25,970 --> 00:01:30,830 +هم + +17 +00:01:30,830 --> 00:01:32,550 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +18 +00:01:32,550 --> 00:01:32,550 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +19 +00:01:32,550 --> 00:01:33,410 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +20 +00:01:33,410 --> 00:01:34,290 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +21 +00:01:34,290 --> 00:01:34,290 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +22 +00:01:34,290 --> 00:01:35,670 +هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم هم + +23 +00:01:35,670 --> 00:01:37,410 +هم هم + +24 +00:01:40,890 --> 00:01:46,030 +صادفت antigen عملت له phagocytosis تعرفت عليه طبعا + +25 +00:01:46,030 --> 00:01:49,610 +من خلال tool like receptor هنشوف وظائفها الآن + +26 +00:01:49,610 --> 00:01:56,230 +أخدته وعملت له phagocytosis وطبعا صار له + +27 +00:01:56,230 --> 00:02:02,330 +processing يعني شجفته طلع مرتبط بال MRC class 2 + +28 +00:02:02,330 --> 00:02:07,050 +molecule وبمجرد نصي طلع مرتبط بالMRC class 2 + +29 +00:02:07,050 --> 00:02:13,050 +molecule بصير induction إلى B7و class 2 موليكيول + +30 +00:02:13,050 --> 00:02:19,150 +طبعا once this happen يصير فيه synthesis ل IL-12 + +31 +00:02:19,150 --> 00:02:24,410 +cytokine and other chemokine طالعة من ايش من ال + +32 +00:02:24,410 --> 00:02:31,890 +dendritic cell تاخد بتخش هذه الخلية الى ال lymph + +33 +00:02:31,890 --> 00:02:36,630 +nodes و هناك بعد ال release of this cytokine it + +34 +00:02:36,630 --> 00:02:42,860 +becomes mature dendritic cellالتي تقدم الانتجين + +35 +00:02:42,860 --> 00:02:48,480 +لمن؟ لـ T-cell طبعاً هي بتبقى الخاشة و هناك في الـ + +36 +00:02:48,480 --> 00:02:52,280 +Germinal Center في T-cell area في الـ lymph nodes + +37 +00:02:52,280 --> 00:02:58,900 +و بتقدم الانتجين لمن؟ لـ T البرسيلة طبعاً محصلة ال + +38 +00:02:58,900 --> 00:03:06,040 +activation of T lymphocytes Antigen presenting + +39 +00:03:06,040 --> 00:03:09,880 +cellالـ Professional Antigen Presenting Cell هما + +40 +00:03:09,880 --> 00:03:13,220 +الـ Dendritic Cell و الـ Macrophage و الـ B + +41 +00:03:13,220 --> 00:03:19,980 +-Lymphocytes طبعاً هؤلاء يستخدمون الانتجين لتكوينه + +42 +00:03:19,980 --> 00:03:27,280 +و يقدمونه كوستيمولاتر سيجنال التنتين هدول تقديم + +43 +00:03:27,280 --> 00:03:33,760 +الانتجن و تزويدنا بالكوستيمولاتر سيجنال سيكتفع الـ + +44 +00:03:33,760 --> 00:03:39,780 +Naive T-Lymphocyteالـ Dendritic cell can express + +45 +00:03:39,780 --> 00:03:44,700 +high level of MSG a class 2 and class 1 molecule + +46 +00:03:44,700 --> 00:03:50,040 +وقولنا they are motile they are moving from one + +47 +00:03:50,040 --> 00:03:54,380 +place to another و بيضلوا يمشوا لغاية ما يصلوا ال + +48 +00:03:54,380 --> 00:03:57,760 +lymph nodes و هناك they can interact with the T + +49 +00:03:57,760 --> 00:04:05,130 +lymphocytes وشوفنا ال figure الأول يعنيهو بيظهر + +50 +00:04:05,130 --> 00:04:09,610 +لنا ال interaction of antigen و ال dendritic cell + +51 +00:04:09,610 --> 00:04:15,730 +in tissue أخدته و راحت طبعا أدى إلى ال maturation + +52 +00:04:15,730 --> 00:04:22,490 +of dendritic cell و أدى إلى أنه في خلية حاملة على + +53 +00:04:22,490 --> 00:04:32,950 +سطحهاانتيجين اتحركت لغاية ما وصلت للمف نوز وهناك + +54 +00:04:32,950 --> 00:04:39,090 +صار في عملية ال interaction في ال figure برضه + +55 +00:04:39,090 --> 00:04:42,490 +الانتيجين هو عبارة عن gram negative بكتيريا تاخد + +56 +00:04:42,490 --> 00:04:47,290 +by immature dendritic cell ومن خلال interaction + +57 +00:04:47,290 --> 00:04:51,830 +with tool like receptor اللي موجودة على سطح ال + +58 +00:04:51,830 --> 00:04:58,200 +dendritic cellاكتفاء توليكا ريسبتور من جزء من + +59 +00:04:58,200 --> 00:05:04,160 +الميكروبيا يؤدي إلى اكتفاء كامين من الـ innate و + +60 +00:05:04,160 --> 00:05:08,800 +الـ adaptive immunity الـ innate من خلال + +61 +00:05:08,800 --> 00:05:13,300 +الفاجوسيتوسيز والـ adaptive من خلال الـ cytokine + +62 +00:05:17,650 --> 00:05:21,290 +طيب ايش هم ال tool like receptor؟ قالوا they are + +63 +00:05:21,290 --> 00:05:27,210 +considered as part of pattern recognition molecule + +64 +00:05:27,210 --> 00:05:32,570 +pattern recognition molecule هذا عبارة عن مجموعة + +65 +00:05:32,570 --> 00:05:41,860 +موجودة على سطح خلاياكل واحد is specific for the + +66 +00:05:41,860 --> 00:05:51,900 +recognition of certain foreign antigen they fit + +67 +00:05:51,900 --> 00:05:56,400 +with a distinct pattern of corresponding base of + +68 +00:05:56,400 --> 00:06:04,330 +pathogen برتبته بقطعة او بالمكان المناسباللي موجود + +69 +00:06:04,330 --> 00:06:09,990 +على سطح ال pathogen and they serve as a flag they + +70 +00:06:09,990 --> 00:06:18,510 +are flags alerting يعني دائما بيش بيصححوا a + +71 +00:06:18,510 --> 00:06:22,750 +responding cell to the presence of innate invading + +72 +00:06:22,750 --> 00:06:30,590 +microorganism هم يعني ينشطوا + +73 +00:06:31,730 --> 00:06:38,910 +أو يجعل الخلايا الجسم دائما في حالة استنفار في حال + +74 +00:06:38,910 --> 00:06:45,430 +دخول الانتجين أيضا they facilitate phagocytosis + +75 +00:06:45,430 --> 00:06:48,790 +ماحنا قلنا بس من مجرد ما يصير في ارتباط ما بين ال + +76 +00:06:48,790 --> 00:06:52,410 +toll like receptor والانتجينبصير فيه phagocytosis + +77 +00:06:52,410 --> 00:06:56,810 +هي طول like رسبتور اكتفيت phagocytes and tissue + +78 +00:06:56,810 --> 00:07:02,210 +dendritic cell in response to pathogen and they + +79 +00:07:02,210 --> 00:07:05,790 +are large family of receptor مجموعة كبيرة من ال + +80 +00:07:05,790 --> 00:07:10,990 +receptor كل واحد منهم each of which recognizes + +81 +00:07:10,990 --> 00:07:16,230 +specific microbial molecular patternكان هم مجموعة + +82 +00:07:16,230 --> 00:07:22,430 +من الـ Receptor موجودة على خلايا الجسم الفاعلة في + +83 +00:07:22,430 --> 00:07:26,950 +ال innate immunity وكل واحد منهم بيتعرف على + +84 +00:07:26,950 --> 00:07:31,570 +microbial pattern أو ال molecular pattern موجود + +85 +00:07:31,570 --> 00:07:35,640 +على سطح الخلاياActivation of these cells + +86 +00:07:35,640 --> 00:07:40,580 +facilitates initiation of acquired immune response + +87 +00:07:40,580 --> 00:07:44,520 +من خلال إيش؟ Release or production of pro + +88 +00:07:44,520 --> 00:07:51,160 +-inflammatory cytokine وهذا ما يفسر العلاقة ما بين + +89 +00:07:51,160 --> 00:07:54,620 +ال innate و ال acquired immune response + +90 +00:07:57,700 --> 00:08:04,000 +أيضا ما يسهل عملية phagocytosis هو أن الميكروب + +91 +00:08:04,000 --> 00:08:09,220 +يكون coated with complement يعني بيكون optionized + +92 +00:08:09,220 --> 00:08:12,700 +يعني ال optionized microbe + +93 +00:08:15,250 --> 00:08:19,350 +بإمكانها أن تكون بسهولة فاغوسيتيزة فرن أنتجين يدفع + +94 +00:08:19,350 --> 00:08:22,810 +للمستوى العالي من الميليكيولات التشغيلية يبقى + +95 +00:08:22,810 --> 00:08:26,750 +الميليكيولات التشغيلية تتكون في وجود أو في حالة + +96 +00:08:26,750 --> 00:08:34,010 +وجود فرن أنتجين بينما في حالة الـ self-antigen هذه + +97 +00:08:34,010 --> 00:08:40,130 +الميليكيولات التشغيلية لا يمكن أن تكون مصادرة ولن + +98 +00:08:40,130 --> 00:08:47,960 +تدفع نييف تيليمفوسايتوهذه عبارة عن صورة بتوضح ال + +99 +00:08:47,960 --> 00:08:52,800 +interaction between molecules on the surface of + +100 +00:08:52,800 --> 00:08:59,500 +both antigen presenting cell and CD4 T helper cell + +101 +00:08:59,500 --> 00:09:05,960 +يعني هاي ال TCR مرتبط بالامر C class 2والـ + +102 +00:09:05,960 --> 00:09:10,280 +coreceptor CD4 أيضًا مرتبط بال MHC class 2 sorry + +103 +00:09:10,280 --> 00:09:16,540 +TCR مرتبط بالانتيجن و CD4 مرتبط بال MHC class 2 هي + +104 +00:09:16,540 --> 00:09:21,580 +ال core stimulatory molecule CD8 الـ 28 بيرتبط بال + +105 +00:09:21,580 --> 00:09:29,700 +B7 أو CTLA4 اللي هو cytotoxic الانفوسايت انتيجن + +106 +00:09:29,700 --> 00:09:37,070 +number 4 أيضًا can interact with ashمع B7 واحد + +107 +00:09:37,070 --> 00:09:40,430 +بيعمل Stimulatory واحد بيعمل Inhibitory بالمناسبة + +108 +00:09:40,430 --> 00:09:46,310 +اللي هو CT على A4 هو Inhibitory ثم CD40 على ال B + +109 +00:09:46,310 --> 00:09:52,890 +-Lymphocytes بيرتبط بال CD40 لجند على ال T ثم او + +110 +00:09:52,890 --> 00:09:57,540 +اعتبرنا ان هذه ال antigen presenting Bثم ال ICAM-1 + +111 +00:09:57,540 --> 00:10:01,960 +اللي هو CD54 بيرتبط بخبر عن adhesive molecule + +112 +00:10:01,960 --> 00:10:08,280 +بيرتبط ب LFA-1 leukocyte or lymphocyte functioning + +113 +00:10:08,280 --> 00:10:12,920 +antigen number one ثم CD2 خبر عن أيضا adhesive + +114 +00:10:12,920 --> 00:10:19,130 +molecule على سطح تيرينفوسايت بيرتبط ب LFA-1تلاتة + +115 +00:10:19,130 --> 00:10:23,470 +على سطح الـ Antigen Presenting Cell هذه هي روابط + +116 +00:10:23,470 --> 00:10:28,010 +عشان الـ Cell-to-Cell Contact كل هذه الروابط and + +117 +00:10:28,010 --> 00:10:32,430 +activation مش بس contact and activation هذه + +118 +00:10:32,430 --> 00:10:40,390 +الروابط كلها بدها ترتبط نشوفتنشيط هذه الخلية الـ T + +119 +00:10:40,390 --> 00:10:44,530 +lymphocyte بتم من خلال أكتر من signal ال first + +120 +00:10:44,530 --> 00:10:47,490 +signal هي عبارة عن ال interaction بين الامر C + +121 +00:10:47,490 --> 00:10:53,150 +class 2 اللي ماسك على سطحه ال peptide ال antigenic + +122 +00:10:53,150 --> 00:10:59,030 +peptide و اللي موجود على ال antigen presenting + +123 +00:10:59,030 --> 00:11:07,640 +cell بيرتبط بال TCRمن خلال الـ Variable Alpha و + +124 +00:11:07,640 --> 00:11:13,960 +Variable Beta و هذا أول إرتباط و هذا الوصف محتاج + +125 +00:11:13,960 --> 00:11:22,520 +لكنه ليس كافيا لإيقافهعشان تقوى الرابطة مضتعف + +126 +00:11:22,520 --> 00:11:27,060 +ويصير فيه زيادة في ال response to the antigen لابد + +127 +00:11:27,060 --> 00:11:31,500 +من ارتباط ال coreceptor اللي هو CD4 مع ال MHC + +128 +00:11:31,500 --> 00:11:38,920 +class 2 وبرتبط في ال constant region of MHC class + +129 +00:11:38,920 --> 00:11:45,530 +2CD4 يتم تحريره من + +130 +00:11:45,530 --> 00:11:53,050 +الـ TCR الذي يمسك في الـ Antigen ويعمل ارتباط الـ + +131 +00:11:53,050 --> 00:11:59,470 +MSG Class 2 ويقوّي الرابطة ويزود الـ Signal + +132 +00:11:59,470 --> 00:12:05,070 +Transduction اللي سيحدث الـ + +133 +00:12:05,070 --> 00:12:10,430 +Code Stimulatorالرابطات التالتة أو التانية دعنا + +134 +00:12:10,430 --> 00:12:15,950 +نقول هي عبارة عن co-stimulator pairs or molecule + +135 +00:12:15,950 --> 00:12:19,450 +لازم يحصل فيه interaction بين الـB7 على سطح + +136 +00:12:19,450 --> 00:12:28,030 +الـantigen presenting cell مع الـCD28 أو CD40 أو + +137 +00:12:28,030 --> 00:12:30,370 +يسمونه CD152 + +138 +00:12:33,200 --> 00:12:38,060 +وCD40 اللي هو 154 مع CD40 لجنب على سطح + +139 +00:12:38,060 --> 00:12:42,160 +التيلينفوسايتز لأن هذه الروابط هي عبارة عن cost + +140 +00:12:42,160 --> 00:12:45,380 +stimulator هي عبارة عن الجدلة هي عبارة عن تقوية + +141 +00:12:45,380 --> 00:12:49,740 +الرابط اللي بدها تصير عشان نصير فيه اللي هو + +142 +00:12:49,740 --> 00:12:54,100 +activation طبعا cost stimulator الميليكيول are + +143 +00:12:54,100 --> 00:13:00,440 +required ماشي are necessary for activation of + +144 +00:13:00,440 --> 00:13:03,850 +naiveCD 40 + +145 +00:13:06,780 --> 00:13:11,280 +CD40-Ligand Interaction بتسوّد الـ Expression of + +146 +00:13:11,280 --> 00:13:15,900 +B7 على سطح الـ Antigen Presenting Cell و بتسوّد + +147 +00:13:15,900 --> 00:13:22,680 +ارتباط الـ B7 مع الـ CD28 بين الـ Antigen + +148 +00:13:22,680 --> 00:13:26,780 +Presenting Cell و الـ De-Lymphocyte قلنا في رابطة + +149 +00:13:26,780 --> 00:13:32,660 +أخرى هي الـ Adhesion Molecule وتتمثل بالـ ICAM-1 + +150 +00:13:32,660 --> 00:13:40,170 +بيرتبط مع CD11ACD18 أو ما يسمى بالـ LFA1 ليكوسايت + +151 +00:13:40,170 --> 00:13:43,710 +او لمفوسايت في بعض الأحيان functioning associated + +152 +00:13:43,710 --> 00:13:50,510 +antigen على سطح التليمفوسايت و أيضا ال adhesive + +153 +00:13:50,510 --> 00:13:55,330 +interaction slow down the movement يعني تتلذق تثبت + +154 +00:13:55,330 --> 00:14:01,670 +الخلية و يوم تثبت بيصير ال action is more potent + +155 +00:14:05,050 --> 00:14:10,770 +الرقم الخامسة هي الـ Immunological Synapse هي + +156 +00:14:10,770 --> 00:14:13,910 +منطقة الأرتباط ما بين الـ Antigen Presenting Cell + +157 +00:14:13,910 --> 00:14:18,430 +والـ T Cell بيتكون فيها الـ Synapse الـ Synapse + +158 +00:14:18,430 --> 00:14:22,050 +يحتاج لإستمرار إتصال الانترال سيلولار هو اللي يعمل + +159 +00:14:22,050 --> 00:14:29,050 +إيه الإتصال الانترال سيلولار وهي من ينهي وتبقى + +160 +00:14:29,050 --> 00:14:31,350 +شغالة وممسوقة الخلايا + +161 +00:14:35,700 --> 00:14:41,760 +لغاية فترة طويلة بتوصل انه حوالي تمام ساعات of + +162 +00:14:41,760 --> 00:14:46,760 +contact قال لأ شو بيصير في هذه الحالة قالوا ال + +163 +00:14:46,760 --> 00:14:51,520 +Lycos فين جوا اللي بدو ال cluster اللي موجود في + +164 +00:14:51,520 --> 00:14:58,640 +cell membrane تبع T cell is mobilized to the + +165 +00:14:58,640 --> 00:15:02,460 +synapse اللي هي الوصلة اللي صارت and draw with + +166 +00:15:02,460 --> 00:15:08,160 +them intracellular signalingاللي هو دور الـ + +167 +00:15:08,160 --> 00:15:12,040 +Intracellular Signaling و هذه خطوات الـ + +168 +00:15:12,040 --> 00:15:17,680 +Intracellular Signaling و تتبعوا معايا شو بيصير في + +169 +00:15:17,680 --> 00:15:22,620 +هذه الـ Signal جابوا بيرتبط طبعا تكون الـ Synapse + +170 +00:15:22,620 --> 00:15:28,440 +و بيرتبط الهرمون او الـ cytokine في هذه الحالة + +171 +00:15:28,440 --> 00:15:35,640 +ماشي بالـ Receptor فببشت الـ Receptorومتما اتنشط + +172 +00:15:35,640 --> 00:15:38,660 +الهيسبتور بيثبت في البروتين موجود في ال cell + +173 +00:15:38,660 --> 00:15:43,800 +membrane of the اسمه اللي هو GS protein وهذا + +174 +00:15:43,800 --> 00:15:46,780 +بيتكوّن من Alpha, Beta, Gamma, Tripolip وبتعدى + +175 +00:15:46,780 --> 00:15:52,720 +تشين طبعا محصلة نشاطه شغلتين الشغل الأولانية خروج + +176 +00:15:52,720 --> 00:16:02,880 +ال GTB من ال GTB GTB تحول إلى GDP وبيرتبط فيه GS + +177 +00:16:02,880 --> 00:16:08,900 +proteinالحاجة التانية انه طبعا هذا ال alpha منه + +178 +00:16:08,900 --> 00:16:15,900 +ترتبط بال air بال GTP بينما ال beta و ال gamma + +179 +00:16:15,900 --> 00:16:22,260 +بروحوا و بنشطوا نزيم تاني اسمه phospholipase C و + +180 +00:16:22,260 --> 00:16:26,700 +ال phospholipase C شو بعمل بعمل حاجة حلوة خالص + +181 +00:16:26,700 --> 00:16:33,170 +بيحول الفرع five by phosphate in osetolلشغلتين هذا + +182 +00:16:33,170 --> 00:16:39,650 +هو لإنواصيتول ترايفوسفيت IB3 ويبقى بنشط ال + +183 +00:16:39,650 --> 00:16:44,670 +diacylglycerol يبقى بنشط شغلتين diacylglycerol + +184 +00:16:44,670 --> 00:16:49,830 +وإنواصيتول ترايفوسفيت دي بساطة طلق إنواصيتول + +185 +00:16:49,830 --> 00:16:52,570 +ترايفوسفيت يخش على ال endoglasmic reticulum ويطلع + +186 +00:16:52,570 --> 00:16:59,230 +الكالسيوم منه من خلال طنشية calcium urate فبطلع + +187 +00:16:59,230 --> 00:17:05,910 +الكالسيوماللي طبعا باسي ال glycerol في وجود + +188 +00:17:05,910 --> 00:17:13,690 +الكالسيوم بتنشط لإنزيم اسمه protein kinase C و + +189 +00:17:13,690 --> 00:17:16,910 +اللي ايضا هذا ال protein متى ما اتكرن على طول + +190 +00:17:16,910 --> 00:17:19,730 +بيعمل phosphorylation هو عبارة عن phosphorylated + +191 +00:17:19,730 --> 00:17:23,530 +protein بيعمل اللي هو ال catalyst بيعمل + +192 +00:17:23,530 --> 00:17:28,870 +phosphorylationلـ Cellular Protein وطبعا متمصار في + +193 +00:17:28,870 --> 00:17:33,030 +Phosphorylation يعني في Action يعني تأثير الهرمون + +194 +00:17:33,030 --> 00:17:38,530 +اللي مسيك بالإيش بالريسيبتور بده يتفعل من خلال + +195 +00:17:38,530 --> 00:17:42,870 +تكوين البروتين كينيسي اللي هو زي ما انتوا شايفين + +196 +00:17:42,870 --> 00:17:47,690 +حوالي تمن خطوات متتالية نعيدها على السريع الهرمون + +197 +00:17:47,690 --> 00:17:53,260 +بمسك بريسيبتور بنشطهومتما اتنشط الـ Receptor بيمسك + +198 +00:17:53,260 --> 00:17:57,000 +ببروتين اسمه الـ GAC Protein في Cell Membrane هو + +199 +00:17:57,000 --> 00:18:04,480 +عبارة عن Tripeptide-Tripolipeptide Protein محصلة + +200 +00:18:04,480 --> 00:18:09,440 +ارتباطه بالبروتين هذا الـ Receptor هو حاجتين انه + +201 +00:18:09,440 --> 00:18:12,900 +بيصير Dissociation لـ Alpha, Beta, Gamma الـ Alpha + +202 +00:18:12,900 --> 00:18:19,550 +طبعا مرتبط بالـ GTP اللي طلعوالـ Meta والجامعة + +203 +00:18:19,550 --> 00:18:25,770 +بيروحوا ومنشطين الـ Phospholipase-C انزايم ال + +204 +00:18:25,770 --> 00:18:30,650 +Phospholipase-C انزايم متى ما اتكون بيروحوا + +205 +00:18:30,650 --> 00:18:36,950 +ومنشطلنا شغلتين مكوّن لنا ال-diacylglycerol و ال + +206 +00:18:36,950 --> 00:18:40,310 +-nacitol triphosphate لأن ال-nacitol triphosphate + +207 +00:18:40,310 --> 00:18:43,030 +بيخش على الـ endoplasmic reticulum بيطلع لنا + +208 +00:18:43,030 --> 00:18:43,770 +الكالسيوم + +209 +00:18:46,300 --> 00:18:50,260 +في وجود الكالسيوم داياسيليكليسرول بيتحول إلى + +210 +00:18:50,260 --> 00:18:55,500 +بروتين كيناسي وهذا عبارة عن فاسفرا related بروتين + +211 +00:18:55,500 --> 00:19:00,460 +بيعمل فاسفرا لالذي هو cellular protein وبالتالي + +212 +00:19:00,460 --> 00:19:05,100 +بيصير فيه action هذا هو ال role of endocytal + +213 +00:19:05,100 --> 00:19:10,780 +triphosphate in intracellular signaling في + +214 +00:19:10,780 --> 00:19:15,760 +ال CD4 شو اللي بيصير؟كـ Intracellular event or + +215 +00:19:15,760 --> 00:19:20,100 +signaling طبعاً زي ما انتوا شايفين هي ارتبط الـ + +216 +00:19:20,100 --> 00:19:25,260 +TCR من البداية بالـ Antigenic Peptide اللي ممسوقة + +217 +00:19:25,260 --> 00:19:35,320 +بالـ MHC Molecule و إجا الـ CD4 ماشي مسك أيضا بالـ + +218 +00:19:35,320 --> 00:19:38,990 +MHC Moleculeيبقى الـ TCR ماسك في الـ Antigenic + +219 +00:19:38,990 --> 00:19:43,830 +Peptide و CD4 ماسك في الـ MSC مليكيون طبعا إيش فيه + +220 +00:19:43,830 --> 00:19:49,730 +موجود جنب الـ TCR و ال MSC مليكيون؟ قالوا فيه CD3 + +221 +00:19:49,730 --> 00:19:53,270 +و Zeta اللي هيعملوا Signal Transduction شو + +222 +00:19:53,270 --> 00:19:58,310 +هيعملوه؟ طبعا ناشننسان و CD3 و Zeta فيها ده هو + +223 +00:19:58,310 --> 00:20:03,950 +المربعات اللي موجودة عبرا عن اللي هو ITAM ماشي + +224 +00:20:04,540 --> 00:20:13,400 +عبارة عن اللي هو molecule الفسفرة طيب شو بيصير في + +225 +00:20:13,400 --> 00:20:18,940 +هذه الحالة؟ كانوا بمجرد مثلها phosphorylation عادة + +226 +00:20:18,940 --> 00:20:25,910 +بيصير من خلال اللي هو ال LCK والفن واحد صاربتابع + +227 +00:20:25,910 --> 00:20:28,550 +ال sar family واحد تابع ال sar family التانى + +228 +00:20:28,550 --> 00:20:33,050 +بيعملوا phosphorylation اللى هو ال ITAM بتمت فسفر + +229 +00:20:33,050 --> 00:20:36,710 +ودول بيفسفروا طبعا ال phosphorylation او ITAM + +230 +00:20:36,710 --> 00:20:47,310 +بيشكل مرساة بيشكل اللى هو قاعدة بتنشط عليها اللى + +231 +00:20:47,310 --> 00:20:53,360 +هو الزعب بروتينوزي بروتين متمت فسفر بروحه هو + +232 +00:20:53,360 --> 00:20:57,740 +بنشطلنا adaptor بروتين و ال adaptor بروتين إذا + +233 +00:20:57,740 --> 00:21:02,240 +اتنشط على طول بنشطلنا اللي هو phosphate لينوسيتول + +234 +00:21:02,240 --> 00:21:08,600 +بي فوسفيت هو يبدينا اللي هو فوسفو بنشط الفوسفول + +235 +00:21:08,600 --> 00:21:14,470 +Ibz2فيزولاي باس C سوري اللي هيعطينا ينشطلنا الراس + +236 +00:21:14,470 --> 00:21:18,650 +والراك ويكوّنه ترايفوسفيت وضايا سيلينكلاسيريد + +237 +00:21:18,650 --> 00:21:22,770 +وطبعا هذه هتنشطلنا transcriptional factor وهذه + +238 +00:21:22,770 --> 00:21:35,380 +وهتنشط الانقف ككعبة B وAT وAB1و هدول بيخشوا على ال + +239 +00:21:35,380 --> 00:21:39,320 +DNA على ال nucleus و هناك برضه بيعملوا + +240 +00:21:39,320 --> 00:21:46,080 +transcription ل cytokine و cytokine ايه طبعا بين + +241 +00:21:46,080 --> 00:21:49,080 +أشطة الجينية اللي بتطلع لنا cytokine و cytokine + +242 +00:21:49,080 --> 00:21:54,220 +receptorهذه هي تسلسل الأحداث اللي ماتصير في ال CD4 + +243 +00:21:54,220 --> 00:21:58,760 +انه بمجرد ما يصير فيه رابطة فيه تنشيط التنشيط يتبع + +244 +00:21:58,760 --> 00:22:02,100 +فاسفرا والفاسفرا بتنشط adaptor البروتين وال + +245 +00:22:02,100 --> 00:22:05,660 +adaptor البروتين بتنشطنا الميكانزم اللي توشر احنا + +246 +00:22:05,660 --> 00:22:10,110 +تبع ال inositol و ال biphosphateactivation طبعا + +247 +00:22:10,110 --> 00:22:14,050 +هذا بيتبع و تنشيط ل phospholipase enzyme و ال + +248 +00:22:14,050 --> 00:22:18,330 +phospholipase enzyme محصلة نشاطه بيشتغل على اللي + +249 +00:22:18,330 --> 00:22:21,250 +هو ال biphosphate و بيحوله ل triphosphate و + +250 +00:22:21,250 --> 00:22:25,450 +diacylglycerol و طبعا بيصير في activation ل + +251 +00:22:25,450 --> 00:22:29,010 +transcriptional factor بتروح ال nucleus بتنشط + +252 +00:22:29,010 --> 00:22:32,450 +الجينات اللي مسؤولة عن تصنيع ال cytokine و ال + +253 +00:22:32,450 --> 00:22:33,370 +cytokine receptor + +254 +00:22:36,440 --> 00:22:40,240 +وهذا الكلام هي مكتوب بالتفصيل binding of a C class + +255 +00:22:40,240 --> 00:22:48,480 +2 molecule مع ال TCR ماشي بينقلنا signal طبعا من + +256 +00:22:48,480 --> 00:22:56,180 +خلال الارتباط ب Zeta CD3 and Zeta molecule وطبعا + +257 +00:22:56,180 --> 00:23:00,600 +الرابط التاني ان هذي ال signal can cross the + +258 +00:23:00,600 --> 00:23:05,170 +membraneوش بتعمل في الممبرين تعمل اما aggregation + +259 +00:23:05,170 --> 00:23:14,630 +لل ال TCR من جوا او conformational changes في + +260 +00:23:14,630 --> 00:23:20,970 +Transmembrane region of TCR لتغير شكله بده يتنشط + +261 +00:23:20,970 --> 00:23:26,490 +تيروزين كاينيز system ويبدأ يضيف phosphate group + +262 +00:23:26,490 --> 00:23:31,990 +لل تيروزين molecule اللى موجودةطبعا عندنا هنشوفها + +263 +00:23:31,990 --> 00:23:38,290 +تاريز الكنيز associated with CD3Z هو مبارحة عن + +264 +00:23:38,290 --> 00:23:47,690 +الفن و ال SRC طبعا + +265 +00:23:47,690 --> 00:23:53,730 +هدولة ال LCK تابعة + +266 +00:23:53,730 --> 00:24:01,060 +لل سارك family و الفن تابع لل سارس familyهذا هما + +267 +00:24:01,060 --> 00:24:07,360 +التنين بتنشطوا وبيعملوا clustering طبعا بنشطوا + +268 +00:24:07,360 --> 00:24:13,920 +اللي هو ال ITM region بيعملونهم phosphorylation + +269 +00:24:14,610 --> 00:24:19,370 +وطبعا ما تمت فسفره دول بيمثلوا قاعدة بيتنشط عليها + +270 +00:24:19,370 --> 00:24:26,030 +another tyrosine كينيسة منها ZAP 70 و ZAP 70 أيضا + +271 +00:24:26,030 --> 00:24:30,130 +بيعمل phosphorylation ل adaptor بلوتين عبارة عن + +272 +00:24:30,130 --> 00:24:35,710 +اللات ال SLP 76 على سطح ال cell membrane و بيكونوا + +273 +00:24:35,710 --> 00:24:40,390 +complex بيعمل signal transduction و بيكون ال + +274 +00:24:40,390 --> 00:24:45,070 +immunological synapseالان شو بيحصل في الـ + +275 +00:24:45,070 --> 00:24:48,310 +intracellular signaling؟ قلنا لأ ده اتر بروتين + +276 +00:24:48,310 --> 00:24:52,370 +ماتم اتنشط ماشي و الـ activate intracellular + +277 +00:24:52,370 --> 00:24:56,510 +signaling كيف؟ جالو they bind with phospholipase-C + +278 +00:24:56,510 --> 00:25:00,150 +و بيعملوا phosphorylation من خلال الـ + +279 +00:25:00,150 --> 00:25:07,470 +phosphorylation بالذابق بروتين و طبعا بيحول + +280 +00:25:07,470 --> 00:25:19,540 +الفوسفة دي بي فوسفيتالى الـ Diacylglycerol وطبعا + +281 +00:25:19,540 --> 00:25:23,180 +هذا بنشر الـ transcriptional factor اللى سمناه NF + +282 +00:25:23,180 --> 00:25:31,620 +-Kappa-B اتفقنا ان الـ ITAM هو عبارة عن immune + +283 +00:25:31,620 --> 00:25:39,980 +receptor thyrosine based activation motif اختصار + +284 +00:25:39,980 --> 00:25:47,800 +لمين؟لـ ITAM Immunoreceptor Tyrosine Based + +285 +00:25:47,800 --> 00:25:54,520 +Activation Motif طبعا + +286 +00:25:54,520 --> 00:25:58,220 +دي سهل طبعا زي ما انتوا شايفين اتفقنا على انه نفس + +287 +00:25:58,220 --> 00:26:02,740 +الحكاية انه بيصير فيه تنشيط لـ Triphosphate اللي + +288 +00:26:02,740 --> 00:26:06,560 +بتخش على الـ Endoplasmic reticulum و بتنشيط الـ + +289 +00:26:06,560 --> 00:26:09,720 +Calcineurinوهذا بينشط اللي هو another + +290 +00:26:09,720 --> 00:26:14,680 +transcriptional factor اللي هو NFAT فصار في عندنا + +291 +00:26:14,680 --> 00:26:18,080 +two transcriptional factors بتنشط وهذا الميكانيزم + +292 +00:26:18,080 --> 00:26:24,800 +مهم جدا في حالة اللي هو ال transplantation لأنه في + +293 +00:26:24,800 --> 00:26:30,100 +دوة اسمها Cyclosporin A بيعمل inhibit اللي هو + +294 +00:26:30,100 --> 00:26:33,720 +graft rejection كل اللي بيعملونه بتبط بالcalcium + +295 +00:26:33,720 --> 00:26:37,720 +urineمشي لما بتطلع من ال endoplasmic reticulum + +296 +00:26:37,720 --> 00:26:46,960 +وبالتالي بيوقف نشاط ت سلق وبالتالي مافيش graph + +297 +00:26:46,960 --> 00:26:52,680 +rejection هو بيأخر ال graph rejection الراس + +298 +00:26:52,680 --> 00:26:56,860 +والراك اللي تواكن عليهم هم بيرع نجوانيزين يكليوتا + +299 +00:26:56,860 --> 00:27:00,680 +اتباينزين بلوتين شو بيعملوا جاله بنشطه سايتو + +300 +00:27:00,680 --> 00:27:06,790 +بلازميك كاسكيت او ميترجنيوم اتنشط المعاه بكاينيز + +301 +00:27:06,790 --> 00:27:09,810 +هو عبارة عن بروتين بيؤدي الى تنشيط لتقوى + +302 +00:27:09,810 --> 00:27:12,770 +transcription of another transcriptional factor + +303 +00:27:12,770 --> 00:27:17,050 +سموه AB1 صار فى عندنا تلاتة transcriptional factor + +304 +00:27:17,050 --> 00:27:22,270 +دولة بينشطوا الجينات اللى مسؤولة عن تصنيع اللى هو + +305 +00:27:22,270 --> 00:27:26,590 +اولا بتكبر الخلية تطلعنا IL-2 عبارة عن cytokine + +306 +00:27:26,590 --> 00:27:30,370 +وده عبارة عن growth factor الهو receptor على سطح + +307 +00:27:30,370 --> 00:27:34,210 +الخلية نفسهاالتي هي الـ T-Lymphocyte وبالتالي + +308 +00:27:34,210 --> 00:27:38,710 +بيزيد نشاطها وعلى السطح وممكن تنشط خلايا أخرى من + +309 +00:27:38,710 --> 00:27:42,150 +الـ T-Lymphocyte يعني can act on the same cell or + +310 +00:27:42,150 --> 00:27:46,250 +different cell او on different cell وهذا هي + +311 +00:27:46,250 --> 00:27:53,610 +الارتباط صار تنشطت الخليه وتنشطت الجينات المسؤولة + +312 +00:27:53,610 --> 00:27:58,310 +عن تصنيح IL-2 في IL-2 بيروحوا ومنشط ليش هذا هو + +313 +00:27:58,310 --> 00:28:03,690 +شغال على CD25اللي هو عبارة عن IL-2 ريسبتور وهذا + +314 +00:28:03,690 --> 00:28:09,510 +بيتكوّن من polypeptide chain فبروحوا يصفطوه متى + +315 +00:28:09,510 --> 00:28:14,090 +متصفطوا بيصير في proliferation للخلية وده وصار فيه + +316 +00:28:14,090 --> 00:28:18,430 +clonal expansion + +317 +00:28:20,910 --> 00:28:24,390 +هناك طرق تانية لتنشيط تليمفوسايتها في عن طريق ال + +318 +00:28:24,390 --> 00:28:26,950 +super antigen وقلنا ان ال super antigen كان اكتفت + +319 +00:28:26,950 --> 00:28:31,170 +ده cell directly من برا لبرا بخلال ارتباطه من برا + +320 +00:28:31,170 --> 00:28:37,050 +لبرا بال MHC موليكيول ميتوجين another activator زي + +321 +00:28:37,050 --> 00:28:41,810 +الكون الكافرين والفيتوهيماجلوتينين وكويد ميتوجين + +322 +00:28:41,810 --> 00:28:46,510 +كلهم عبارة عن ايش؟ عبارة عن لكتن موليكيول ايضا + +323 +00:28:46,510 --> 00:28:49,790 +بيشتغلوا as mitogen لتليمفوسايت + +324 +00:28:51,390 --> 00:28:55,710 +حاجة تلتة انتي CD3 انتي بادي أيضا ارتباط ال CD3 + +325 +00:28:55,710 --> 00:28:59,850 +بالانتي بادي بالانتي دوت تبعه بيؤدي الى ال + +326 +00:28:59,850 --> 00:29:03,630 +activation of T lymphocyte طيب هى ال T lymphocyte + +327 +00:29:03,630 --> 00:29:11,270 +اكم subset خلينا نشوف ياله CD4 can be activated + +328 +00:29:11,270 --> 00:29:15,330 +into four different subset four different subset + +329 +00:29:15,330 --> 00:29:19,250 +ماشي يبقى CD4 positive + +330 +00:29:21,160 --> 00:29:28,720 +انتقلت إلى أربع مجموعات مختلفة باعتبار موجودة في + +331 +00:29:28,720 --> 00:29:32,920 +مجموعات مختلفة في مجموعات مختلفة في مجموعات مختلفة + +332 +00:29:32,920 --> 00:29:33,820 +في مجموعات مختلفة في مجموعات مختلفة في مجموعات + +333 +00:29:33,820 --> 00:29:34,560 +مختلفة في مجموعات مختلفة في مجموعات مختلفة في + +334 +00:29:34,560 --> 00:29:35,140 +مجموعات مختلفة في مجموعات مختلفة في مجموعات مختلفة + +335 +00:29:35,140 --> 00:29:35,200 +في مجموعات مختلفة في مجموعات مختلفة في مجموعات + +336 +00:29:35,200 --> 00:29:35,200 +مختلفة في مجموعات مختلفة في مجموعات مختلفة في + +337 +00:29:35,200 --> 00:29:38,560 +مجموعات مختلفة في مجموعات + +338 +00:29:38,560 --> 00:29:42,760 +مختلفة في مجموعات مختلفة + +339 +00:29:42,760 --> 00:29:48,400 +في مجموعات م + +340 +00:29:48,970 --> 00:29:52,970 +ماشي فتيه البر واحد اللي بتفرزنا gamma interferon + +341 +00:29:52,970 --> 00:29:59,630 +و IL-2 و طبعا هذه بتنشطلنا macrophage أنكسي ال CDA + +342 +00:29:59,630 --> 00:30:04,390 +تيلينفسايز وبعد مرات بتطلع تشترع ال B-Lymphocyte + +343 +00:30:04,390 --> 00:30:09,990 +تطلع فقط IGG3 طبعا في هذه الحلقة شو ال major + +344 +00:30:09,990 --> 00:30:14,030 +effect of function؟ طبعا cell mediated immunity + +345 +00:30:14,030 --> 00:30:17,430 +اللي من خلالها بنقتل ال virus و ال bacterial + +346 +00:30:18,470 --> 00:30:25,650 +Infected Hossel يعني Intra Cellular Organism كمان + +347 +00:30:25,650 --> 00:30:31,750 +CD4 ممكن تتحول الى T البرطوم اللى بتفرز لنا IL-4 + +348 +00:30:31,750 --> 00:30:38,630 +IL-5 IL-13 وطبعا في هذه الحالة اللى تشتغل على ال a + +349 +00:30:38,630 --> 00:30:43,950 +-xenophil و ال b-cell a-xenophil عشان تقتل ايش ال + +350 +00:30:43,950 --> 00:30:49,730 +worms و ال B lymphocytesبتطلعنا Antibody من نوع + +351 +00:30:49,730 --> 00:30:57,870 +IgE و IgG4 غالباً ال IgE for الهيرجين و IgG4 أيضاً + +352 +00:30:57,870 --> 00:31:04,730 +for antiparasitic infection T-Helper-17 another + +353 +00:31:04,730 --> 00:31:12,170 +subset of CD4 اللي بتطلعنا IL-17 و IL-22و طبعاً + +354 +00:31:12,170 --> 00:31:15,030 +هذه بتشتل على نيوترافيل و Epithelial cell و دي + +355 +00:31:15,030 --> 00:31:20,910 +عبارة عن Pro-inflammatory cell ال response تبعها + +356 +00:31:20,910 --> 00:31:25,250 +بيكون في حالة الفنجاي و لوجود Extracellular + +357 +00:31:25,250 --> 00:31:33,250 +بكتيريا كمان ال CD4 ممكن تكون عبارة عن Treg و Treg + +358 +00:31:33,250 --> 00:31:36,910 +من اسمها reg يعني regulatory بتشتل على other + +359 +00:31:36,910 --> 00:31:42,300 +lymphocytes و بتعملهم inhibitionيعني متوقف شغله من + +360 +00:31:42,300 --> 00:31:45,600 +خلال إيش؟ من خلال إفراز الـ Transform Growth + +361 +00:31:45,600 --> 00:31:50,280 +Factor Beta-Cytokine والـ IL-10 وبالتالي بتعمل + +362 +00:31:50,280 --> 00:31:53,140 +Inhibition للـ Function of Other Sets of T + +363 +00:31:53,140 --> 00:31:57,460 +-Lymphocytes and Non-T-Lymphocytes وفي عندنا four + +364 +00:31:57,460 --> 00:32:03,380 +subset of CD4 طبعا + +365 +00:32:03,380 --> 00:32:05,800 +الـ T-Lipar واحد وT-Lipar اتنين اللي طبعا حكيناهم + +366 +00:32:05,800 --> 00:32:12,240 +جايين من T-Lipar Mode اللي هي في الأساسماشي على + +367 +00:32:12,240 --> 00:32:16,720 +تيهيلبرت واحد synthesis IL-2 و Gamma Interferon و + +368 +00:32:16,720 --> 00:32:19,420 +tumor necrosis factor beta اللي هو ال lymphotoxin + +369 +00:32:19,420 --> 00:32:24,320 +و تيهيلبرت واحد cytokine اللي بيطلعوا منها ايضا + +370 +00:32:24,320 --> 00:32:28,360 +بيعملوا cell mediated immunity وبالتالي بنشته CD8 + +371 +00:32:28,360 --> 00:32:35,300 +و NK cell and macrophage طب what about تيهيلبرت + +372 +00:32:35,300 --> 00:32:42,310 +two؟الخيص يتطلع إلى الـ IL-4, IL-5 و IL-13. طبعاً + +373 +00:32:42,310 --> 00:32:48,450 +هذه ستشغّل بيسل البرامج التي تتغير إلى IGE و IGE-4 + +374 +00:32:48,450 --> 00:32:54,110 +وفي حالة وجود ال IL-5 يمكن أن تشغّل الإيزينوفيل. + +375 +00:32:54,590 --> 00:32:59,650 +فالخيص ليه الجدول التواعد تلقيا؟ Virus and + +376 +00:32:59,650 --> 00:33:06,760 +Bacteriaبتحبز وجود او تنشيط او تحفيز تيهيلبر واحد + +377 +00:33:06,760 --> 00:33:12,960 +بينما الاليرجين والبراسايتز بدهم اللي هو تيهيلبر 2 + +378 +00:33:12,960 --> 00:33:18,420 +الـ cytokine اللي طالع من تيهيلبر واحد تعمل انهيبش + +379 +00:33:18,420 --> 00:33:23,280 +لفنكشن تيهيلبر 2 واللي طالع من تيهيلبر 2 تعمل + +380 +00:33:23,280 --> 00:33:33,330 +انهيبش ليش لتيهيلبر 1T-L-B-R-17 سبسيط تطلعنا آيال + +381 +00:33:33,330 --> 00:33:37,790 +17 family cytokine وده عبارة عن pro-inflammatory + +382 +00:33:37,790 --> 00:33:43,990 +cytokine موجودة في different cell types أيضا they + +383 +00:33:43,990 --> 00:33:49,870 +respond to fungi and some extracellular bacteria T + +384 +00:33:49,870 --> 00:33:55,410 +ring أخر واحدة بتعمل inhibition لother cell + +385 +00:33:55,410 --> 00:33:56,750 +function + +386 +00:34:00,160 --> 00:34:08,000 +هذا سيكون إدعى بـ Cell-to-Cell Contact أو بـ + +387 +00:34:08,000 --> 00:34:10,600 +Synthesis of Certain Inhibitory Cytokines مثلًا + +388 +00:34:10,600 --> 00:34:15,020 +Transforming Growth Factor Beta و IL-10 الـ + +389 +00:34:15,020 --> 00:34:22,160 +Cytokine يدفع الاتصال إلى مجموعة خاصة من الـ CD4 T + +390 +00:34:22,160 --> 00:34:26,740 +Cell كما رأينا في الفيجارة كما سنرى إن شاء الله + +391 +00:34:27,150 --> 00:34:32,010 +يبقى من يلعب دور في تحديد نوع ال site ال CD4 اللي + +392 +00:34:32,010 --> 00:34:39,550 +بدها تطلع هي ال cytokine فزي + +393 +00:34:39,550 --> 00:34:44,310 +ما انتوا شايفين في حالة وجود ده يعني عندى CD4 + +394 +00:34:44,310 --> 00:34:48,230 +سموها T helper node في حالة وجود IL-12 sorry + +395 +00:34:48,230 --> 00:34:52,830 +بتتمشط اللي هو T helper one في حالة وجود IL-4 + +396 +00:34:52,830 --> 00:34:56,290 +بتتمشط T helper twoفي حالة وجود Transform Growth + +397 +00:34:56,290 --> 00:35:00,110 +Factor Beta واحد وعشرين آيال واحد وعشرين تطلع + +398 +00:35:00,110 --> 00:35:05,590 +تهيلبر سبنتين في حالة وجود Transform Growth Factor + +399 +00:35:05,590 --> 00:35:07,910 +Beta alone تطلع تهيلبر سبنتين تطلع تهيلبر سبنتين + +400 +00:35:07,910 --> 00:35:22,590 +تطلع تهيلبر سبنتين تطلع تهيلبر سبنتين + +401 +00:35:23,630 --> 00:35:30,390 +T117 لغاية لان ما لم تسجل انه انهيبوتري اكشن لها + +402 +00:35:30,390 --> 00:35:35,610 +تحول ال truth factor بيتا بعمل انهيبش لكل ال other + +403 +00:35:35,610 --> 00:35:42,850 +T lymphocytes cytokine synthesized by cells of + +404 +00:35:42,850 --> 00:35:48,310 +innate immune response immuneThis will influence + +405 +00:35:48,310 --> 00:35:52,350 +the differentiation to specific subset of CD4 يعني + +406 +00:35:52,350 --> 00:35:55,690 +الـ cytokine اللي طلعت زي ما أولا شوفناها من + +407 +00:35:55,690 --> 00:36:02,730 +الخلايا اللي هي الـ innate immune cell هي من يحدد + +408 +00:36:02,730 --> 00:36:10,090 +نوع CD4 subset اللي بده يتكون وخصوصا + +409 +00:36:11,200 --> 00:36:15,000 +اللي هو الـ immune cell الـ innate immune cell زي + +410 +00:36:15,000 --> 00:36:18,400 +الـdendritic cell نخص بالذكر اللي هو الـdendritic + +411 +00:36:18,400 --> 00:36:21,820 +cellالخلايا الانتقالية هي الخلايا الانتقالية هي + +412 +00:36:21,820 --> 00:36:29,280 +الخلايا الانتقالية هي الخلايا + +413 +00:36:29,280 --> 00:36:32,280 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +414 +00:36:32,280 --> 00:36:33,200 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +415 +00:36:33,200 --> 00:36:33,200 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +416 +00:36:33,200 --> 00:36:34,900 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +417 +00:36:34,900 --> 00:36:38,180 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +418 +00:36:38,180 --> 00:36:40,000 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +419 +00:36:40,000 --> 00:36:41,400 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +420 +00:36:41,400 --> 00:36:44,000 +الانتقالية هي الخلايا الانتقالية هي الخلايا + +421 +00:36:44,000 --> 00:36:47,080 +الانتقالية + +422 +00:36:47,080 --> 00:36:49,480 +هي الخلايا الانتقالية هي الخلايا الانتقالية هي + +423 +00:36:49,480 --> 00:36:53,590 +الخلاياماشي بال third signal قلنا بدنا two signal + +424 +00:36:53,590 --> 00:36:58,210 +عشان نشرة ال T cell و ال role of cytokine في هذه + +425 +00:36:58,210 --> 00:37:04,590 +المرحلة بيعتبر اللي هو ال third signal اللي تلعب + +426 +00:37:04,590 --> 00:37:16,230 +دور كبير in addition to signal واحد و اتنين طبعا + +427 +00:37:16,230 --> 00:37:21,430 +في cooperation between T و Bطبعا كلكم بدى عرفوا ان + +428 +00:37:21,430 --> 00:37:25,370 +ال T cell كان ال B cell sorry can act as antigen + +429 +00:37:25,370 --> 00:37:31,050 +presenting cell هي على سطحة PCR مسك في antigen + +430 +00:37:31,050 --> 00:37:36,590 +أخدته وعملت له processing وطلعته مرتبط بAMSG class + +431 +00:37:36,590 --> 00:37:42,610 +2 موليكيول على سطحة أداية this كان يعني بعد ذلك + +432 +00:37:42,610 --> 00:37:50,150 +this cell كان traffic ماشيto اللي هو T cell area + +433 +00:37:50,150 --> 00:37:54,770 +وبتقدم ال antigen ل CD4 T lymphocyte يبقى في + +434 +00:37:54,770 --> 00:37:59,650 +cooperation هو cooperation between T and B + +435 +00:37:59,650 --> 00:38:05,310 +lymphocytes ولاحظوا ال response اللي بيصير ماشي ال + +436 +00:38:05,310 --> 00:38:10,350 +response اللي بيصير في حالة ال T dependent antigen + +437 +00:38:10,350 --> 00:38:12,430 +في أنها antigen + +438 +00:38:19,960 --> 00:38:25,620 +والتاني هذا هو مبين واحد اتعرفت عليه T-lymphocyte + +439 +00:38:25,620 --> 00:38:32,980 +وبيعتبر T cell antigen أيه اتاخد ونعمله processing + +440 +00:38:32,980 --> 00:38:36,620 +by antigen presenting cell واتقدم لمين؟ لـ T + +441 +00:38:36,620 --> 00:38:43,980 +-helper cell والتاني هذا هو ال Epitope C اللي هو + +442 +00:38:43,980 --> 00:38:49,290 +is specific for B lymphocyteماشي بيصير فيه new + +443 +00:38:49,290 --> 00:38:52,210 +response بس شرط أساسي ان ال two epitopes يكونوا + +444 +00:38:52,210 --> 00:38:58,290 +the same antigen ماشي هذه بتتنشط و بتنشط لل + +445 +00:38:58,290 --> 00:39:04,030 +feeling for sides اللي بتطلع antibody ماشي و + +446 +00:39:04,030 --> 00:39:13,030 +بتخلصنا من ال antigen مرة تانية بنذكركوا بال co ال + +447 +00:39:13,030 --> 00:39:17,720 +interaction between اللي هوالـ T-cell و الـ B-cell + +448 +00:39:17,720 --> 00:39:22,640 +كل + +449 +00:39:22,640 --> 00:39:26,600 +البروتين يعتمد على الـ Thymus في حالة بروتين تهو + +450 +00:39:26,600 --> 00:39:32,200 +اللي شرحناه Thymus dependent antigen لأنهم يحتاجوا + +451 +00:39:32,200 --> 00:39:38,620 +الـ CD4 T-cell للمساعدة للمساعدة أو التعاون مع الـ + +452 +00:39:38,620 --> 00:39:42,920 +B-cell لتنسيق الانتيبادي يبقى هو ال T dependent + +453 +00:39:42,920 --> 00:39:47,850 +antigen أوT-dependent immune response اللي بيحصل + +454 +00:39:47,850 --> 00:39:52,090 +في cooperation بين الـB والـT-Lymphocytes ليش؟ + +455 +00:39:52,090 --> 00:39:56,170 +لأنه مطلوب مساعدة الـT-Helper Cell في تنشيط الـB + +456 +00:39:56,170 --> 00:40:02,810 +-Lymphocyte في تكوين الـAntibody The set of CD4 + +457 +00:40:02,810 --> 00:40:08,130 +cell that participate in antibody response بتسمى + +458 +00:40:08,130 --> 00:40:15,060 +as Helper T-Lymphocytes نوع الـCD4اللي بيساعد في + +459 +00:40:15,060 --> 00:40:19,380 +تكوين الـ antibody بيسموها T helper cell طبعا T و + +460 +00:40:19,380 --> 00:40:22,520 +B cell must be specific for a particular antigen + +461 +00:40:22,520 --> 00:40:26,560 +والابيتوب مرة تانية must be part of the same + +462 +00:40:26,560 --> 00:40:32,100 +protein sequence T + +463 +00:40:32,100 --> 00:40:34,400 +helper cell and B cell may respond to different + +464 +00:40:34,400 --> 00:40:39,780 +epitope in the antigen طبعا ال T helper cell اللي + +465 +00:40:39,780 --> 00:40:44,360 +قلنا لل internal epitopeالذي يتم إجراءه خلال عملية + +466 +00:40:44,360 --> 00:40:44,740 +عملية عملية عملية عملية عملية عملية عملية عملية + +467 +00:40:44,740 --> 00:40:56,680 +عملية عملية عملية عملية عملية + +468 +00:41:00,730 --> 00:41:05,390 +التعرف المشترك في هذه الحالة B cell can act as + +469 +00:41:05,390 --> 00:41:14,910 +anti-representing cell for CD4-T cell 10.6 ل 10.7 + +470 +00:41:14,910 --> 00:41:17,990 +بيبين ان ال interaction between B and T lymphocyte + +471 +00:41:18,450 --> 00:41:24,710 +وهي مهمة جدًا لإيقاف الـ B وT لنفسيات.ولا ننسى أن + +472 +00:41:24,710 --> 00:41:29,350 +هناك + +473 +00:41:29,350 --> 00:41:33,530 +إرتباط في هذه الحالة من الـ CD4-T4-T-Ligand اللي + +474 +00:41:33,530 --> 00:41:41,050 +يتطلب إيقاف B-cell لتغيير IGM من IGM إلى IGG أو + +475 +00:41:41,050 --> 00:41:47,670 +إلى أشخاص أخرى.هذا هو إيقاف CD8.هل رأينا إيقاف T4 + +476 +00:41:47,670 --> 00:41:53,450 +-Cell؟علاقتها بالـ B-Lymphocyte هنا في activation + +477 +00:41:53,450 --> 00:41:59,170 +لـ T-Cytotoxic T-Cytotoxic تتنشط بأكثر من طريقة + +478 +00:41:59,170 --> 00:42:04,550 +ماشي بدنا نشوف الطرق اللي بتتنشط فيها الـ T + +479 +00:42:04,550 --> 00:42:09,870 +-Cytotoxic جانوا إما من خلال ماشي هذه الـ T + +480 +00:42:09,870 --> 00:42:15,490 +-Cytotoxic على سطحها أيضا CD8 هي عبارة عن CD8 T + +481 +00:42:15,490 --> 00:42:20,030 +-Cell وعلى سطحها TCRهو أن الـ CD8 تسيل بتقدم + +482 +00:42:20,030 --> 00:42:25,050 +الانتجين إليها من أي سيل في الجسم اللي على سطحها C + +483 +00:42:25,050 --> 00:42:32,530 +Class 1 أو Class 2 ماشي؟ شو اللي بيصير؟ يعني في + +484 +00:42:32,530 --> 00:42:35,490 +البداية الـ Antigen Presenting Cell تتعرف عليها + +485 +00:42:35,490 --> 00:42:40,450 +الفيروس اللي بيخش و بتاخده و بتعمله Processing و + +486 +00:42:40,450 --> 00:42:46,070 +بتقدمه لـ CD4في نفس الوقت عندما يدخل الانتجن + +487 +00:42:46,070 --> 00:42:49,490 +الانتراسيلولاري الانتجن اللي هو the same انتجن + +488 +00:42:49,490 --> 00:42:54,850 +الانتراسيلولاري يتقدم + +489 +00:42:54,850 --> 00:42:55,790 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +490 +00:42:55,790 --> 00:43:04,410 +يتقدم + +491 +00:43:04,410 --> 00:43:05,870 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +492 +00:43:05,870 --> 00:43:06,050 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +493 +00:43:06,050 --> 00:43:07,830 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +494 +00:43:07,830 --> 00:43:07,830 +الانتجن الانتجن الانتجن الانتجن الانتجن الانتجن + +495 +00:43:07,830 --> 00:43:10,180 +الانتجن الانتجن الانتجن الانوالحاجة التانية هو + +496 +00:43:10,180 --> 00:43:13,860 +اللي CD4 كانت شايف الـ Antigen مقدّم لها من الـ + +497 +00:43:13,860 --> 00:43:18,440 +Antigen Presenting Cell واتنشطت وطلعت IL-2 اللي IL + +498 +00:43:18,440 --> 00:43:21,280 +-2 مع ال .. إيش؟ ال second signal .. ال first + +499 +00:43:21,280 --> 00:43:25,240 +signal هذه بصير فيه activation للـ T-Cytotoxic + +500 +00:43:25,240 --> 00:43:29,800 +lymphocyte اللي الحاجة التانية أو ال pathway + +501 +00:43:29,800 --> 00:43:33,420 +التاني اللي تتنشط فيه T-Cytotoxic حاجة بيسموها + +502 +00:43:33,420 --> 00:43:38,860 +cross-priming شو يعني؟ قالوا واللهنفس الخلية + +503 +00:43:38,860 --> 00:43:45,160 +المصابة Target Cell بتلعب دور كاله اللي هو ال + +504 +00:43:45,160 --> 00:43:51,360 +Antigen Presenting Cell وبتقدم + +505 +00:43:51,360 --> 00:43:58,260 +ال Antigen مباشرة لاللي هو Class I ده هو مع CD8 + +506 +00:43:58,260 --> 00:44:05,480 +وبتحفظ ال Co-Stimulation وبالتالي بيصير فيه نشاط + +507 +00:44:05,480 --> 00:44:09,080 +Lactate Cytotoxicوما حصلت نشاط التساعة + +508 +00:44:09,080 --> 00:44:15,580 +التوكسيكالية الموجود في هذه الصورة نشطت فعملت ايش؟ + +509 +00:44:15,580 --> 00:44:18,840 +عملت accumulation لل granules اللي في داخلها + +510 +00:44:18,840 --> 00:44:26,540 +وبالتالي قتلت الخلية عملت degranulation بعد هي + +511 +00:44:26,540 --> 00:44:31,320 +فقتلت الخلية المصابة وبتقتلها من خلال تو ميكانيزم + +512 +00:44:31,320 --> 00:44:35,220 +الأولان هي ال degranulation اللي بتحتوي على ال + +513 +00:44:35,220 --> 00:44:41,040 +pointالـ Paraffin ووظيفته انه يكون انها channel + +514 +00:44:41,040 --> 00:44:46,880 +يخرج الخلية ويكون قناع وال Gravzyme اللي هو المادة + +515 +00:44:46,880 --> 00:44:48,920 +التانية او اللي هو ال هرمون التاني اللي يخرج عبارة + +516 +00:44:48,920 --> 00:44:53,900 +عن Serine Protease enzyme بخش من خلال ال channel + +517 +00:44:53,900 --> 00:44:57,280 +اللي اتكونت وبروحه وعمل induction ل-apoptosis + +518 +00:44:58,140 --> 00:45:02,500 +بالإضافة لهذا الـ mechanism في عندنا رابط على بدء + +519 +00:45:02,500 --> 00:45:07,180 +التتكوّن هو الـ Fuzz Ligand اللي موجود على ال .. + +520 +00:45:07,180 --> 00:45:13,520 +اللي هو الـ T-Cytotoxic مرتبط بالـ Fuzz اللي هو + +521 +00:45:13,520 --> 00:45:18,220 +الـ Death Domain Death Receptor موجود على معظم + +522 +00:45:18,220 --> 00:45:22,650 +خلايا جسم الإنسانفبرضه التاني بيعمل induction + +523 +00:45:22,650 --> 00:45:27,510 +لابوبتوسيز تتنشط لابوبتوسيز ميكانيزم وبيعمل قتل + +524 +00:45:27,510 --> 00:45:33,810 +ليش للخلية المصعبة بجانب خلال ال contact between T + +525 +00:45:33,810 --> 00:45:39,490 +cytotoxic lymphocyte و target cell بيصير فيه + +526 +00:45:39,490 --> 00:45:44,390 +degranulation لتو انزايم واحد اسمه perforin بيخرج + +527 +00:45:44,390 --> 00:45:48,650 +الخلية والتاني اسمه granzymeوبعمل طبعا + +528 +00:45:48,650 --> 00:45:52,030 +polyperforate channel والتاني اسمه grandzyme اللي + +529 +00:45:52,030 --> 00:45:56,630 +بيخش في داخل الخلية ويقتلها من خلال induction of + +530 +00:45:56,630 --> 00:46:01,350 +apoptosis طبعا هذا بالاضافة لارتباط الفاذ لجنت مع + +531 +00:46:01,350 --> 00:46:06,130 +الفاذ وده عبارة عن death receptor بيقتلنا أيضا + +532 +00:46:06,130 --> 00:46:12,840 +induce apoptosis ويقتل الخليةوطبعا هذا هو الكلام + +533 +00:46:12,840 --> 00:46:17,920 +اللي شرحناه مكتوب CD8 T lymphocyte can kill cell + +534 +00:46:17,920 --> 00:46:23,380 +اللي هو infected with bacteria or viruses as well + +535 +00:46:23,380 --> 00:46:27,580 +as transplanted foreign cell الحكينا بيصير فيه + +536 +00:46:27,580 --> 00:46:31,780 +ارتباط بين عبارة من C class 1 و CD8 ثم بيصير فيه + +537 +00:46:31,780 --> 00:46:34,640 +cytokine release زي Gamma interferon tumor + +538 +00:46:34,640 --> 00:46:39,980 +necrosis factor beta و IL4 وطبعا هذاالـ Activation + +539 +00:46:39,980 --> 00:46:45,220 +بيعمل Signal Transduction لـ Release of IL-12 و IL + +540 +00:46:45,220 --> 00:46:49,500 +-12 Signal بيحصل في الـ Synthesize من الـ + +541 +00:46:49,500 --> 00:46:51,860 +Dendritic Cell أو من الـ Innate immune response + +542 +00:46:51,860 --> 00:47:00,680 +وبالتالي بيحصل في Activation لـ CD8 و IUD 95 + +543 +00:47:02,240 --> 00:47:07,900 +موجود على النايف تيليومفوسايتز دخل الانتيجنت نشطت + +544 +00:47:07,900 --> 00:47:16,140 +طلعت لي حاجتين فده CD 178 + +545 +00:47:16,140 --> 00:47:24,780 +اللي هو عبارة عنCD 95 لجند اما بطلع بروتين بطبط + +546 +00:47:24,780 --> 00:47:31,460 +بالفاة CD 95 اما بصير في ارتباط مباشر ما بين ال CD + +547 +00:47:31,460 --> 00:47:37,540 +95 و لجنده و المحصلة death of cell by apoptosis + +548 +00:47:40,770 --> 00:47:45,310 +طبعا في ادهاج الموليكيول صارت ما بين ال .. صار في + +549 +00:47:45,310 --> 00:47:50,410 +contact ما بين ال T cell و ال target cell و هو + +550 +00:47:50,410 --> 00:47:56,330 +طبعا هذا ال contact بيتم من خلال ادهاج الموليكيول + +551 +00:47:56,330 --> 00:48:02,310 +على سطح الخلايا و هو اللي بقعد several hours و + +552 +00:48:02,310 --> 00:48:06,890 +once CD8 is activated بتطلع لنا granules و ال + +553 +00:48:06,890 --> 00:48:09,890 +granules هي اللي بتقتل هي برانسايتو toxic protein + +554 +00:48:10,690 --> 00:48:15,490 +أيضًا express CD178 اللي هو عبارة عن Fasligand + +555 +00:48:15,490 --> 00:48:20,330 +وطبعًا بيصير فيه قتل و القتل بيتم من خلال + +556 +00:48:20,330 --> 00:48:24,830 +Exocytosis فبتطلع إن ال pair-for-in والجرانزايم ال + +557 +00:48:24,830 --> 00:48:28,450 +pair-for-in بيعمل ring-like transmembrane channel + +558 +00:48:28,450 --> 00:48:33,750 +والجرانزايم هو عبارة عن serine esterase enzyme و + +559 +00:48:33,750 --> 00:48:37,960 +بيخش من خلال ال channel و induce apoptosisطبعا لن + +560 +00:48:37,960 --> 00:48:40,980 +ننسى ان هناك جرانيولهيسن جرانيولهيسن جرانيولهيسن + +561 +00:48:40,980 --> 00:48:42,400 +جرانيولهيسن جرانيولهيسن جرانيولهيسن جرانيولهيسن + +562 +00:48:42,400 --> 00:48:43,320 +جرانيولهيسن جرانيولهيسن جرانيولهيسن جرانيولهيسن + +563 +00:48:43,320 --> 00:48:48,140 +جرانيولهيسن جرانيولهيسن جرانيولهيسن جرانيولهيسن + +564 +00:48:48,140 --> 00:48:58,440 +جرانيولهيسن جرانيولهيسن جرانيولهيسن جرانيولهيسن + +565 +00:48:58,440 --> 00:49:01,720 +جرانيولهيسن + +566 +00:49:01,720 --> 00:49:08,230 +جرانيولهيسن جرانيولهيسن جرانيولهيسن جرانيطبعاً + +567 +00:49:08,230 --> 00:49:13,370 +عندما ينتهي الـ CD8 في البروسيس من خلال الـ + +568 +00:49:13,370 --> 00:49:18,310 +Detaching تنفصل و تذهب لتمسك في خلية مصابة أخرى في + +569 +00:49:18,310 --> 00:49:23,650 +تاريخ التسلتانية وبتعمل additional killing على الـ + +570 +00:49:23,650 --> 00:49:28,930 +Harness ملاحظة جدا مهمة و non-functional non + +571 +00:49:28,930 --> 00:49:33,870 +-infectious in antigen ماشي أو بين وسيلة killed + +572 +00:49:33,870 --> 00:49:40,350 +virusDo Not Trigger CD8 T Cell Response ما بنشرت + +573 +00:49:40,350 --> 00:49:44,770 +الـ CD8 طيب + +574 +00:49:44,770 --> 00:49:48,870 +نيجي لنقطة مهمة أخرى اللي هي ال conjugate vaccine + +575 +00:49:48,870 --> 00:49:52,470 +يعني على ال vaccine شو وظيفته هو وظيفته انه ايش + +576 +00:49:52,470 --> 00:49:58,810 +انه يزود ال immune response ويزود مناعتنا شو اللي + +577 +00:49:58,810 --> 00:50:01,950 +بيصير لعمل conjugate vaccine على ال + +578 +00:50:04,950 --> 00:50:09,790 +Polysaccharides هده هنشوفها مرتبطة ببروتين معين + +579 +00:50:09,790 --> 00:50:13,730 +أيه Conjugate Vaccine Utilize the principle of + +580 +00:50:13,730 --> 00:50:19,190 +linked recognition to generate TD response كل اللي + +581 +00:50:19,190 --> 00:50:23,610 +بيصير انه احنا من خلال Conjugate Vaccine بنعمل + +582 +00:50:23,610 --> 00:50:29,670 +activation for B cell من خلال TD dependent + +583 +00:50:29,670 --> 00:50:36,060 +response اللي تم شرحنا في فيجار 10.11وطبعاً في هذه + +584 +00:50:36,060 --> 00:50:41,660 +الحالة تتنشط الـ T البرسل عشان تنشطنا ال بيسل + +585 +00:50:41,660 --> 00:50:47,120 +تنتين بتعرفوا على two antigen on the same two + +586 +00:50:47,120 --> 00:50:51,100 +ابتوب sorry on the same antigen احسن مثال على هذا + +587 +00:50:51,100 --> 00:50:56,800 +الموضوع تيتانوسيتكسويد اللي بينعطى وبالتالي زي ما + +588 +00:50:56,800 --> 00:51:01,000 +قلنا بيصير فيه اللي هو T dependent action + +589 +00:51:01,000 --> 00:51:07,380 +بالمناسبة في ال Tسيكون هناك تغيير لـ Isotype يمكن + +590 +00:51:07,380 --> 00:51:14,060 +أن يكون الـ IgG يتكوّن و يتكوّن الـ Memory Cell + +591 +00:51:14,060 --> 00:51:17,900 +تتكوّن و هذا هو مثال الـ polysaccharide لحاله + +592 +00:51:17,900 --> 00:51:21,020 +قالوا أن هذا عبارة عن أنتجين كبير يعمل الـ Direct + +593 +00:51:21,020 --> 00:51:26,100 +T Independent اللي هو بي سيل اكتوبيشيون و هذا + +594 +00:51:26,100 --> 00:51:32,280 +بتطلع منها اللي هي IGFماشي و هذا بيصير في حالتين + +595 +00:51:32,280 --> 00:51:35,360 +لما يكون في عندنا اللي هو polysaccharide بيعدى + +596 +00:51:35,360 --> 00:51:39,720 +الشكل الكبير ماشي بيطلعنا IGF مباشرة بنشط الخلية + +597 +00:51:39,720 --> 00:51:43,540 +مباشرة او في حالة غياب ال T-Helper cell او T-cell + +598 +00:51:43,540 --> 00:51:47,240 +3 في حالة غياب ال T-cell لإن عند الناس اللي ما + +599 +00:51:47,240 --> 00:51:52,840 +عندهم T-cell this mechanism also can be activated + +600 +00:51:52,840 --> 00:52:03,720 +التاني هذا هو ال Epitopesموجود في T-cell انتجن + +601 +00:52:05,030 --> 00:52:08,130 +مرتبط ببوليساكرايد وهي عبارة عن antigen + +602 +00:52:08,130 --> 00:52:12,550 +بوليساكرايد بتنشط اللي هو عبارة عن B cell antigen + +603 +00:52:12,550 --> 00:52:19,550 +وفي internal antigen ده هو اتعرفت عليه او اتقدم لل + +604 +00:52:19,550 --> 00:52:24,010 +T lymphocytes فال T lymphocytes نشطت نشطت لمين؟ ال + +605 +00:52:24,010 --> 00:52:28,190 +B lymphocytes وصار في تكوين لها T dependent + +606 +00:52:28,190 --> 00:52:33,220 +response وحصلته IgGبصير فيه class switching + +607 +00:52:33,220 --> 00:52:39,960 +وبالتالي بدينا any other انتجن لاتنسى ان الانتجن + +608 +00:52:39,960 --> 00:52:46,900 +الاسبسيفيك ماشي اللي هو CD4 T البرئان بيصل need to + +609 +00:52:46,900 --> 00:52:51,580 +interact عشان يصير فيه generation ل antibody + +610 +00:52:51,580 --> 00:52:58,220 +response antibody in the Td انتجن response ال + +611 +00:52:58,220 --> 00:53:07,090 +Epitopesهو تي البر و بي سيل ريكوينيز ال ابتوبات + +612 +00:53:07,090 --> 00:53:14,190 +التي يجب أن تكون جزء من أسلحة الانتجين اللينكد + +613 +00:53:14,190 --> 00:53:15,530 +ريكوينيشي اللينكد ريكوينيشي اللينكد ريكوينيشي + +614 +00:53:15,530 --> 00:53:16,790 +اللينكد ريكوينيشي اللينكد ريكوينيشي اللينكد + +615 +00:53:16,790 --> 00:53:18,650 +ريكوينيشي اللينكد ريكوينيشي اللينكد ريكوينيشي + +616 +00:53:18,650 --> 00:53:19,530 +اللينكد ريكوينيشي اللينكد ريكوينيشي اللينكد + +617 +00:53:19,530 --> 00:53:19,550 +ريكوينيشي اللينكد ريكوينيشي اللينكد ريكوينيشي + +618 +00:53:19,550 --> 00:53:24,550 +اللينكد ريكوينيشي اللينكد + +619 +00:53:24,550 --> 00:53:30,110 +ريكوينيشيبتتكوّن ثم ال cost stimulatory في البداية + +620 +00:53:30,110 --> 00:53:37,750 +فمحصلته بيصير فيه antibody production ال CD4 D4 + +621 +00:53:37,750 --> 00:53:42,270 +تليجند و ال ECOS and ECOS legend أيضًا هي عبارة عن + +622 +00:53:42,270 --> 00:53:47,950 +روابط موجودة على ال B و ال T lymphocytes بتتنشط من + +623 +00:53:47,950 --> 00:53:52,790 +خلالهم T cell و بتطلعنا cytokine و ال B cell + +624 +00:53:52,790 --> 00:53:58,290 +بتطلعنا antibodyوطبعاً الـ cytokine اللي يتصنع by + +625 +00:53:58,290 --> 00:54:02,750 +T cell هو من يحدد نوع ال isotype او ال antibody + +626 +00:54:02,750 --> 00:54:06,250 +اللي بده يطلع من ال B lymphocytes بعد ال antigen + +627 +00:54:06,250 --> 00:54:11,270 +زي ال polysaccharide ماشي اللي عنده that have many + +628 +00:54:11,270 --> 00:54:15,650 +repeating epitopes هو ال anthimus independent زي + +629 +00:54:15,650 --> 00:54:18,390 +ما قلنا هو بيكون antibody او بنشط B lymphocyte + +630 +00:54:18,390 --> 00:54:22,750 +اللي بتكون antibody مباشرة هذا ال response زي ما + +631 +00:54:22,750 --> 00:54:32,270 +قلنا بيصيرفي حالات الناس + +632 +00:54:32,270 --> 00:54:39,110 +اللي ماعندهم functional thymus أو عندهم الـ T cell + +633 +00:54:39,110 --> 00:54:47,650 +make response to Ti-antigen ال pathway + +634 +00:54:47,650 --> 00:54:52,820 +الانتراثيلنار تتعامل بالاكتفاء عن البيسلهو يشبه + +635 +00:54:52,820 --> 00:54:57,230 +الـ activation pathway of CD4 to CD8والـ signal + +636 +00:54:57,230 --> 00:55:01,850 +طبعا اللي بتصير ماشي through the antigen specific + +637 +00:55:01,850 --> 00:55:08,650 +PCR can be modulated positively via the B3rd core + +638 +00:55:08,650 --> 00:55:12,890 +receptor وnegatively for example via the low + +639 +00:55:12,890 --> 00:55:16,290 +affinity FC receptor يعني إما بيصير في enhancement + +640 +00:55:16,290 --> 00:55:22,170 +or inhibition لسيجنال وبالتالي هذا نوع من ال + +641 +00:55:22,170 --> 00:55:30,970 +modulation بيتحكمالـ Response اللي بيطلع بهيك + +642 +00:55:30,970 --> 00:55:35,710 +بنكون انهينا المحاضرة و + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FHPHT7IameQ_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FHPHT7IameQ_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..25400cf996279cb41d0419705d6ecbcd7b921d6b --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FHPHT7IameQ_postprocess.srt @@ -0,0 +1,2948 @@ +1 +00:00:02,230 --> 00:00:06,830 +بسم الله الرحمن الرحيم نلتقى اليوم في محاضرة جديدة + +2 +00:00:06,830 --> 00:00:12,230 +عنوان cytokine وكما تعلمون ال cytokine هي عبارة عن + +3 +00:00:12,230 --> 00:00:15,610 +جليكو بروتين substance which has low molecular + +4 +00:00:15,610 --> 00:00:20,540 +weightوانتجت من خلائي من نفسها وانتجت من نفسها + +5 +00:00:20,540 --> 00:00:21,140 +وانتجت من نفسها وانتجت من نفسها وانتجت من نفسها + +6 +00:00:21,140 --> 00:00:27,000 +وانتجت من نفسها وانتجت من نفسها وانتجت من نفسها + +7 +00:00:27,000 --> 00:00:27,180 +وانتجت من نفسها وانتجت من نفسها وانتجت من نفسها + +8 +00:00:27,180 --> 00:00:27,200 +وانتجت من نفسها وانتجت من نفسها وانتجت من نفسها + +9 +00:00:27,200 --> 00:00:29,080 +وانتجت من نفسها وانتجت من نفسها وانتجت من نفسها + +10 +00:00:29,080 --> 00:00:33,080 +وانتجت + +11 +00:00:33,080 --> 00:00:45,940 +من نفسها وانت + +12 +00:00:46,220 --> 00:00:51,100 +يعني بتنقل رسائل ما بين الخلايا في ال immune + +13 +00:00:51,100 --> 00:00:56,800 +system it's also regulated by particular cytokine + +14 +00:00:56,800 --> 00:01:03,800 +receptor يعني لازم ال cytokine عشان يشتغل يكون له + +15 +00:01:03,800 --> 00:01:11,440 +receptor for that factor cytokine أيضا produced by + +16 +00:01:11,440 --> 00:01:16,620 +lymphocyte بيسموها lymphokineواللي بتنتج من الـ + +17 +00:01:16,620 --> 00:01:22,260 +Monocyte أو الـ Macrophage بيسموها Monokines و + +18 +00:01:22,260 --> 00:01:29,880 +أيضًا بتسمى Chemokine يوم ما تشتغل as a + +19 +00:01:29,880 --> 00:01:33,840 +chemotactic factor Chemotactic factor يعني هي + +20 +00:01:33,840 --> 00:01:38,880 +عبارة عن factors بتساعد في عملية حركة الخلية + +21 +00:01:38,880 --> 00:01:47,200 +باتجاه الانتجن these factorsنحن لسنا مجرد نوع من + +22 +00:01:47,200 --> 00:01:49,340 +الانفوسايت نحن لسنا مجرد نوع من الانفوسايت نحن + +23 +00:01:49,340 --> 00:01:49,360 +لسنا مجرد نوع من الانفوسايت نحن لسنا مجرد نوع من + +24 +00:01:49,360 --> 00:01:51,880 +الانفوسايت نحن لسنا مجرد نوع من الانفوسايت نحن + +25 +00:01:51,880 --> 00:01:56,940 +لسنا مجرد نوع من الانفوسايت نحن لسنا مجرد نوع من + +26 +00:01:56,940 --> 00:02:01,880 +الانفوسايت نحن لسنا مجرد نوع من الانفوسايت نحن + +27 +00:02:01,880 --> 00:02:04,020 +لسنا مجرد نوع من الانفوسايت نحن لسنا مجرد نوع من + +28 +00:02:04,020 --> 00:02:09,540 +الانفوسايت نحن لسنا مجرد نوع من الانفوسايت نحن + +29 +00:02:09,540 --> 00:02:12,710 +لسنا مجرد نوع من الانوانا it's a generic name يعني + +30 +00:02:12,710 --> 00:02:22,110 +اسم عام for these placaridins ايضا سموهم + +31 +00:02:22,110 --> 00:02:26,550 +Interleukins لإن هما يتعاملون بين عيون بين + +32 +00:02:26,550 --> 00:02:28,750 +اللوكوسيات Interleukin + +33 +00:02:33,290 --> 00:02:37,250 +اليوم اعدادهم طبعا اعطوهم ارقام و الارقام وصلت + +34 +00:02:37,250 --> 00:02:40,710 +اكتر من تلاتين different interlocus are present + +35 +00:02:40,710 --> 00:02:45,990 +macro phase ايضا derived او بيسموهم lymphocyte + +36 +00:02:45,990 --> 00:02:50,710 +activating factor و هي T cell growth factors + +37 +00:02:50,710 --> 00:02:55,910 +فاعطوهم ايش؟ اعطوهم ارقام زي ما قلنا IL-1 و IL-2 + +38 +00:02:55,910 --> 00:03:01,690 +they can activate macro phase and T lymphocyte + +39 +00:03:01,690 --> 00:03:06,110 +respectivelyاليوم زي ما قلنا في اكتر من تلاتين + +40 +00:03:06,110 --> 00:03:12,270 +different Interleukins are coined معظمهم are + +41 +00:03:12,270 --> 00:03:17,130 +biological biologically affect many cell types + +42 +00:03:17,130 --> 00:03:22,790 +داخل و خارج ال immune system فعلى سبيل المثال + +43 +00:03:22,790 --> 00:03:30,290 +Interleukin 2promote cell proliferation and also + +44 +00:03:30,290 --> 00:03:37,090 +stimulate osteoclast واحد تاني transforming growth + +45 +00:03:37,090 --> 00:03:41,070 +factor beta بسموه + +46 +00:03:41,070 --> 00:03:43,770 +transforming growth factor beta و بسموه tumor + +47 +00:03:43,770 --> 00:03:48,730 +growth factor beta ايضا stimulate many cells بما + +48 +00:03:48,730 --> 00:03:52,990 +فيها ال tissue fibroblast وبالتالي + +49 +00:03:54,190 --> 00:03:58,130 +أو D-lymphocyte وB-lymphocyte وبالتالي هؤلاء الـ + +50 +00:03:58,130 --> 00:04:04,010 +cytokines بمعنى بلايوتروبيكي بمعنى بلايوتروبيكي + +51 +00:04:04,010 --> 00:04:08,370 +بمعنى فيهم وظائف متعددة لأنهم يمكنوا أن يؤثروا + +52 +00:04:08,370 --> 00:04:10,890 +عملية العديد من الخلقات + +53 +00:04:13,850 --> 00:04:18,470 +هناك أيضًا من صفاتهم الريداندنسية ان هما ريداندنت + +54 +00:04:18,470 --> 00:04:25,090 +على سبيل المثال اي انت اللوكن توت او انت اللوكن + +55 +00:04:25,090 --> 00:04:31,930 +فور يمكن ان يعملوا كتسل اجراث فاكتورات تانية + +56 +00:04:31,930 --> 00:04:36,770 +بيشتغلوا على تيليمفوسايت ويشتغلوا في اجراثها عشان + +57 +00:04:36,770 --> 00:04:38,390 +هيك بيسموهم ريداندنت + +58 +00:04:43,750 --> 00:04:48,730 +وCytokine اللي هم ايضا صفات الاداتيف يعني اتنين + +59 +00:04:48,730 --> 00:04:55,190 +ممكن نشتغله synergistic or antagonistic they are + +60 +00:04:55,190 --> 00:05:01,730 +properties من الصفات العامة للcytokine A they have + +61 +00:05:01,730 --> 00:05:06,070 +common functional properties وخدوا الأمثلة على ذلك + +62 +00:05:06,070 --> 00:05:10,690 +common functional properties cytokineبعض الـ + +63 +00:05:10,690 --> 00:05:13,830 +cytokines مثل الـ Gamma Interferon و الـ + +64 +00:05:13,830 --> 00:05:21,470 +Interleukin 2 التنين مكسورة بالسلسل و مكسورة بسرعة + +65 +00:05:21,470 --> 00:05:24,670 +صفة + +66 +00:05:24,670 --> 00:05:33,210 +أخرى مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +67 +00:05:33,210 --> 00:05:35,330 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +68 +00:05:35,330 --> 00:05:36,450 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +69 +00:05:36,450 --> 00:05:36,570 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +70 +00:05:36,570 --> 00:05:40,860 +مختلفة مختمعظم الـ cytokines يمتلئون حياة قصيرة أو + +71 +00:05:40,860 --> 00:05:47,940 +نصف و الـ function of the cytokines occur in pairs + +72 +00:05:47,940 --> 00:05:52,340 +بيصنعوا + +73 +00:05:52,340 --> 00:05:57,200 +و بيشتغلوا كانفجار مرة واحدة هكذا ال cytokines + +74 +00:05:57,200 --> 00:05:59,460 +facilitate communication between cells + +75 +00:06:03,570 --> 00:06:12,610 +وهي بتركيزهم إلى عشرة قوة مانس تن للعشرة قوة مانس + +76 +00:06:12,610 --> 00:06:20,110 +ففتين ايضا يمكن ان يعملوا كهرمون يمكن ان يكونوا + +77 +00:06:20,110 --> 00:06:26,850 +مفردين ك Autocrine او Paracrine او Endocrineأيضًا + +78 +00:06:26,850 --> 00:06:31,790 +من وظائفهم أو صفاتهم سريعًا الـCytokine يمكن أن + +79 +00:06:31,790 --> 00:06:35,590 +تعمل تأثير عملية لهم من خلال ارتباطهم بمجموعات + +80 +00:06:35,590 --> 00:06:42,190 +محددة فعلى سبيل المثال تحفز أو انهيب تارجت سيل مثل + +81 +00:06:42,190 --> 00:06:49,030 +T-Helper-1 يوم ما تفرز Gamma Interferon تنشط + +82 +00:06:49,030 --> 00:06:52,550 +الميكروفاج وفي نفس الوقت تعمل انهيبشين + +83 +00:06:52,550 --> 00:06:58,840 +للميليمفوسايتيعني نفس ال grammar interferon + +84 +00:06:58,840 --> 00:07:04,560 +activate macrophage and inhibit B lymphocytes نفس + +85 +00:07:04,560 --> 00:07:10,300 +الحكاية في تيل بارتو يوم ما تفرز ال I L4 و I L5 + +86 +00:07:10,300 --> 00:07:18,350 +they activate B lymphocytes and I L10أيضًا بيفرز + +87 +00:07:18,350 --> 00:07:23,950 +انهيبت ال macro phase activation وهذا عبارة بيسموه + +88 +00:07:23,950 --> 00:07:28,330 +هذا عملية ال regulation ما بين اللي هو تكوين T + +89 +00:07:28,330 --> 00:07:32,910 +helper واحد أو T helper اتنين ما يؤثر في ذلك هو ال + +90 +00:07:32,910 --> 00:07:39,750 +type of antigen وهذه الفيجر هي T helper واحد 100% + +91 +00:07:39,750 --> 00:07:50,700 +antigen تلقفته اللي هو الDendritic cell في أفرز IL + +92 +00:07:50,700 --> 00:07:56,440 +-12 حولت تيهيلبر نود الى تيهيلبر ون نشطة تيهيلبر + +93 +00:07:56,440 --> 00:07:58,700 +نود الى تيهيلبر نود الى تيهيلبر نود الى تيهيلبر + +94 +00:07:58,700 --> 00:08:06,440 +نود الى تيهيلبر نود الى تيهيلبر نود الى تيهيلبر + +95 +00:08:06,440 --> 00:08:11,780 +نود الى تيهيلبر نودإفراز طبعا cytokine دي ال site + +96 +00:08:11,780 --> 00:08:15,460 +طبعا فيها ال activation إجت نشطت ال macro phase من + +97 +00:08:15,460 --> 00:08:19,160 +خلال ارتباطها فيها cell to cell contact و أفرزها + +98 +00:08:19,160 --> 00:08:23,060 +ال cytokine إيش ال cytokine أفرزتها؟ جمع + +99 +00:08:23,060 --> 00:08:29,280 +الterferon نشط ال macro phase GMCSF نشط macro + +100 +00:08:29,280 --> 00:08:33,440 +phase tumor necrosis factor alpha نشط macro phase + +101 +00:08:33,440 --> 00:08:39,860 +IL3 عمل hemopoiesisTuber Necrosis Factor Beta + +102 +00:08:39,860 --> 00:08:48,200 +أيضًا يفرز أثناء الـ Inflammatory Reaction فالمجال + +103 +00:08:48,200 --> 00:08:54,300 +هذا تيالبر واحد بتنشط microphage و طبعًا هنشوف و + +104 +00:08:54,300 --> 00:08:57,940 +بنعرف أن وظيفة ال microphage فيها ست وظائف مختلفة + +105 +00:08:57,940 --> 00:09:03,660 +بس أهم وظيفة هي الفلسفتوسيس في المقابل تيالبر 2 ده + +106 +00:09:03,660 --> 00:09:09,290 +هي يوم اتصادف AntigenDendritic cell بتقدم لها T + +107 +00:09:09,290 --> 00:09:14,710 +helper node بعد ما تفرز I L 4 و T helper node + +108 +00:09:14,710 --> 00:09:19,270 +تتحول ل T helper 2 اللي هي بتنشط بي لمفوسايتر طابت + +109 +00:09:19,270 --> 00:09:23,250 +في بي لمفوسايتر هي ال binding و بتفرز cytokine شو + +110 +00:09:23,250 --> 00:09:29,790 +ال cytokine بتفرزها I L 4 بنشط بي سل I L 5 بنشط بي + +111 +00:09:29,790 --> 00:09:34,750 +سل I L 10 بيعمل ان هي بشيل ل T helper 1 من خلال ان + +112 +00:09:34,750 --> 00:09:40,370 +هي بشيل ل ال microfilmعيال تلاتة هيموبيكسي عيال + +113 +00:09:40,370 --> 00:09:46,290 +تلاتة عيال + +114 +00:09:46,290 --> 00:09:50,910 +تلاتة عيال تلاتة عيال تلاتة عيال تلاتة عيال تلاتة + +115 +00:09:50,910 --> 00:09:51,230 +عيال تلاتة عيال تلاتة عيال تلاتة عيال تلاتة عيال + +116 +00:09:51,230 --> 00:09:54,070 +تلاتة عيال تلاتة عيال تلاتة عيال تلاتة عيال تلاتة + +117 +00:09:54,070 --> 00:09:54,110 +تلاتة عيال تلاتة عيال تلاتة عيال تلاتة عيال تلاتة + +118 +00:09:54,110 --> 00:09:55,590 +عيال تلاتة عيال تلاتة عيال تلاتة عيال تلاتة عيال + +119 +00:09:55,590 --> 00:10:02,650 +تلاتة عيال تلاتة + +120 +00:10:05,840 --> 00:10:11,840 +الخروج من الخلايا + +121 +00:10:11,840 --> 00:10:17,180 +التي تنشطت بواسطة الانتيجين بيأتي الى نشاط مختلف + +122 +00:10:17,180 --> 00:10:24,220 +مختلف اللي هو cell typeيوم ما نفرز الـ cytokine + +123 +00:10:24,220 --> 00:10:28,220 +على مستوى عالي يكون لديهم إستمولات قوية و يمكن أن + +124 +00:10:28,220 --> 00:10:33,800 +يؤثر عليها إفعالة دليلية و إفعالة سيستامية مثل ما + +125 +00:10:33,800 --> 00:10:38,260 +يسمى بـ toxic shock syndrome الـ cytokine لازم + +126 +00:10:38,260 --> 00:10:44,620 +يفرزه بتركيز قليل جدا لكن يوم ما يكون تركيزه فرزه + +127 +00:10:44,620 --> 00:10:51,400 +بكميات عالية جدا عالية التركيز بسبب تأثيرات مؤذية + +128 +00:10:51,930 --> 00:10:56,670 +Deleterious غير مفيدة مؤذية ماشية and systemic + +129 +00:10:56,670 --> 00:11:03,490 +يعني عامة و زي ما بيصير في حالة ال toxic shock + +130 +00:11:03,490 --> 00:11:08,750 +syndrome هنشوفها ان شاء الله قدام في ال diseases + +131 +00:11:08,750 --> 00:11:13,710 +therapeutic manipulation كمان ممكن احنا نلعب بال + +132 +00:11:13,710 --> 00:11:17,690 +cytokine من ناحية الليرية نستفيد منهم من ناحية إيش + +133 +00:11:17,950 --> 00:11:24,170 +إلاجية أيضا في يعني التلاعب في اللي هو ال immune + +134 +00:11:24,170 --> 00:11:28,010 +system على سبيل المثال if we use the component + +135 +00:11:28,010 --> 00:11:34,890 +اللي هو cytokine we can activate if we use the + +136 +00:11:34,890 --> 00:11:39,430 +cytokine antagonist we can inhibit و لا كذا + +137 +00:11:39,820 --> 00:11:45,100 +بإمكاننا تحريك نظام الحيوانات باستخدام هذه الـ + +138 +00:11:45,100 --> 00:11:51,860 +cytokine طيب ما هي الخلايا اللى ممكن تفرزلنا اللى + +139 +00:11:51,860 --> 00:11:59,820 +هو cytokine in a cascade manner طبعا + +140 +00:11:59,820 --> 00:12:03,180 +في خلايا given cell ممكن تعمل كثير من ال cytokine + +141 +00:12:05,570 --> 00:12:09,390 +One cell may be the target of many cytokines طبيعي + +142 +00:12:09,390 --> 00:12:14,210 +جدا خلية واحدة ممكن يكون اكتر من ال cytokine + +143 +00:12:14,210 --> 00:12:18,010 +بيشتغل عليها وكل واحد برتبط ال receptor على سطح + +144 +00:12:18,010 --> 00:12:24,730 +هذه الخلية كمان one cytokine ممكن يأثر على تأثير + +145 +00:12:24,730 --> 00:12:29,250 +أو يأثر على اللي هو فعلية ال other cytokine + +146 +00:12:30,700 --> 00:12:37,620 +وبالتالي ممكن يعني يضيف له function ماشي أو يضيف + +147 +00:12:37,620 --> 00:12:42,940 +يقوي ال function يعني additive or synergistic or + +148 +00:12:42,940 --> 00:12:47,500 +antagonistic interaction + +149 +00:12:47,500 --> 00:12:50,380 +of multiple cytokines produced during typical + +150 +00:12:50,380 --> 00:12:55,490 +immune responseأيضًا بيسموها اللي هو cytokine + +151 +00:12:55,490 --> 00:13:00,910 +cascade and this cascade largely determine whether + +152 +00:13:00,910 --> 00:13:05,530 +a response to an antigen will primarily antibody + +153 +00:13:05,530 --> 00:13:09,890 +-mediated or cell-mediated يعني ال interaction لما + +154 +00:13:09,890 --> 00:13:13,790 +تفرز أكتر من cytokine they interact to each other + +155 +00:13:14,070 --> 00:13:19,370 +هم يسمونها كـ Cytokine Cascade وهذا الـ Cascade + +156 +00:13:19,370 --> 00:13:25,550 +المحصل أن هي تبعته يا إما بيكون لنا Antibody أو + +157 +00:13:25,550 --> 00:13:29,030 +بنشط لنا خلايا مناعية فاعلة + +158 +00:13:31,990 --> 00:13:35,910 +العمل المهم في هذه العملية هو الـ Antigenic + +159 +00:13:35,910 --> 00:13:41,490 +Stimulus هو الـ Antigen من يحدد خط سير أو نهاية + +160 +00:13:41,490 --> 00:13:49,050 +اللي هو نشاط الـ cytokine طيب، + +161 +00:13:49,050 --> 00:13:51,330 +ال receptor لل cytokine طبعا، they have common + +162 +00:13:51,330 --> 00:13:55,690 +receptorعلى سبيل المثال انا قلنا انه فيه + +163 +00:13:55,690 --> 00:13:58,650 +overlapping يعني فيه redundant function على سبيل + +164 +00:13:58,650 --> 00:14:02,510 +المثال اية الواحد واية الستة ممكن both كانت both + +165 +00:14:02,510 --> 00:14:06,370 +induce fever ويبقى لهم طبعا different biological + +166 +00:14:06,370 --> 00:14:10,010 +function أخرى + +167 +00:14:12,760 --> 00:14:15,760 +واجهته ان الـSignal Cytokine يستخدم مرتفعات + +168 +00:14:15,760 --> 00:14:20,260 +مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات + +169 +00:14:20,260 --> 00:14:21,640 +مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات + +170 +00:14:21,640 --> 00:14:21,780 +مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات + +171 +00:14:21,780 --> 00:14:23,600 +مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات + +172 +00:14:23,600 --> 00:14:24,980 +مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات + +173 +00:14:24,980 --> 00:14:25,040 +مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات مرتفعات + +174 +00:14:25,040 --> 00:14:30,420 +مرتفعات مرتفعات مرتفعات + +175 +00:14:30,420 --> 00:14:35,200 +مرتفعات + +176 +00:14:35,200 --> 00:14:36,580 +م + +177 +00:14:39,560 --> 00:14:43,140 +وهي هذه الـ Common Gamma Chain هي المسؤولة عن + +178 +00:14:43,140 --> 00:14:48,120 +Signal Transduction أو الـ Chemical Messenger ما + +179 +00:14:48,120 --> 00:14:51,740 +أحنا سميناه Chemical Messenger وبالتالي بيرسلوا + +180 +00:14:51,740 --> 00:14:56,800 +رسالة إلى الداخل وبالتالي هم المسؤولين هذه الـ + +181 +00:14:56,800 --> 00:14:59,240 +Chain هي المسؤولة عن الـ Intracellular Signaling + +182 +00:14:59,240 --> 00:15:06,500 +Molecule وهذا بيفسر لنا ليش ان في أكتر من اللي هو + +183 +00:15:06,500 --> 00:15:14,280 +cytokine can act on theirSame Cell كما تشاهدون في + +184 +00:15:14,280 --> 00:15:20,380 +الفيجر الى 6 اي فيه اكتر من Receptors كلهم They + +185 +00:15:20,380 --> 00:15:26,040 +Share اللي هو Gamma Chain فيه Triple Chain فيه + +186 +00:15:26,040 --> 00:15:30,660 +Double Chain المهم كلهم يحتووا على Gamma Chain و + +187 +00:15:30,660 --> 00:15:33,840 +Gamma Chain هي المسؤولة عن إيهعن اللي هو Signal + +188 +00:15:33,840 --> 00:15:37,780 +Transduction لأنها واحدة لكل الـ Receptors اللي + +189 +00:15:37,780 --> 00:15:41,480 +موجودة يبقى غالبا ال signal هي واحدة عشان هيك + +190 +00:15:41,480 --> 00:15:47,660 +بنلاقي في multiple cytokine can have the same اللي + +191 +00:15:47,660 --> 00:15:53,200 +هو function functional category بس طبعا قسموا هذا + +192 +00:15:53,200 --> 00:15:57,960 +ال cytokine إلى different category جالوا cytokine + +193 +00:15:57,960 --> 00:16:00,320 +that regulate immune response تشتر على ال immune + +194 +00:16:00,320 --> 00:16:03,890 +responseوطبعا أهم في هذه الخلايا هي ال B و T + +195 +00:16:03,890 --> 00:16:10,210 +lymphocyte activity يوم يتعرضوا ل antigen يوم يشير + +196 +00:16:10,210 --> 00:16:13,720 +لهم stimulation by antigenهؤلاء الـ cytokines + +197 +00:16:13,720 --> 00:16:20,440 +يعملون بشكل أساسي على الانتجين المشغول للمفوسايتين + +198 +00:16:20,440 --> 00:16:26,540 +مثال على ذلك CD4T للمفوسايتين بتعتبر مصادر كبيرة + +199 +00:16:26,540 --> 00:16:30,320 +للإيمينو راجلاتري للـ cytokine يعني بعد ما تتنشط + +200 +00:16:30,320 --> 00:16:34,840 +بتفرزلنا cytokine اللي بتعمل راجلاتي للإيمينو + +201 +00:16:34,840 --> 00:16:43,610 +راجلاتريناييف CD4 نفس الـ T-Lymphocyte اللي هي الـ + +202 +00:16:43,610 --> 00:16:49,110 +T-cell اللي لم تصادف أنتجين بعد أول مرة بتشوفه + +203 +00:16:49,110 --> 00:16:53,970 +كانت مختلفة إلى مجموعات وممكن تصنع مختلفة تقريبا + +204 +00:16:53,970 --> 00:16:55,650 +تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا + +205 +00:16:55,650 --> 00:16:57,670 +تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا + +206 +00:16:57,670 --> 00:16:59,390 +تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا تقريبا + +207 +00:16:59,390 --> 00:17:00,790 +تقريبا تقريبا تقري + +208 +00:17:04,440 --> 00:17:06,900 +أيضًا، الكثير من البكتيريا الانتراثية مثل + +209 +00:17:06,900 --> 00:17:10,740 +الاستيريا والفيروس بنشطوا الـ Dendritic cell و + +210 +00:17:10,740 --> 00:17:14,280 +بنشطوا الـ macrophage و بنشطوا الـ NK cell كلهم + +211 +00:17:14,280 --> 00:17:17,740 +يمكن أن ينتجوا الـ IL-12 و Gamma Interferon + +212 +00:17:17,740 --> 00:17:23,340 +وطبعًا، هذا زي ما شفنا في الفيجور 11.6 هؤلاء يمكن + +213 +00:17:23,340 --> 00:17:27,860 +أن يطلعوا على الـ cytokine التي تنتج تيهيلبر 1 من + +214 +00:17:27,860 --> 00:17:34,730 +من تيهيلبرنوت تيهيلبرنوت عبارة عنخلية البروجينيتر + +215 +00:17:34,730 --> 00:17:38,410 +تيليفوسايتس اللى اتنشطت ودتني وصلها + +216 +00:17:38,410 --> 00:17:42,250 +differentiation واتنشطت ودتني اما تيالبر واحد واما + +217 +00:17:42,250 --> 00:17:46,830 +تيالبر اتنين شوفنا هذا في الاش في ال figure السابق + +218 +00:17:46,830 --> 00:17:52,250 +other pathogens زى ال worms على سبيل المثال بيؤدوا + +219 +00:17:52,250 --> 00:17:59,030 +إلى ال secretion of IL-5 بواسطة المصل على سبيل + +220 +00:17:59,030 --> 00:18:07,780 +المثال ال IL-4 أيضاوهذا ينفذ تطبيق البرنود الى + +221 +00:18:07,780 --> 00:18:12,980 +تهيلبرتو نفس الشيء اللى شفناه في الفيجر اللى فات + +222 +00:18:12,980 --> 00:18:17,900 +وهذا تفسير لذلك ايضا low level او processed + +223 +00:18:17,900 --> 00:18:27,780 +antigen كمية قليلة تتعامل مع تهيلبرتو TCR وبس + +224 +00:18:27,780 --> 00:18:34,160 +ترتبط بهذه الكمية القليلة تختار تهيلبرتوووجدها + +225 +00:18:34,160 --> 00:18:40,360 +تفرز IL-4 و IL-5 يوم تزيد الكمية increase level + +226 +00:18:40,360 --> 00:18:45,800 +اللي بتطبق بتبدأ تهيلبر نوت TCR بتأدي الى + +227 +00:18:45,800 --> 00:18:50,300 +differentiation into تهيلبر one وبالتالي وجدها + +228 +00:18:50,300 --> 00:18:54,400 +تهيلبر one بتصير خانية نادرة تستطيع ان تفرز IL-2 + +229 +00:18:54,400 --> 00:18:57,740 +وGamma Interferon وTumor Necrosis Factor Beta + +230 +00:18:59,250 --> 00:19:03,870 +Pathway of Tl-bar-1 يسهّل + +231 +00:19:03,870 --> 00:19:07,610 +الـ cell-mediated immunity باكتفاء الـ macrophage + +232 +00:19:07,610 --> 00:19:13,810 +عن كيس الـ cytotoxic T-lymphocyte بينما Tl-bar-2 + +233 +00:19:13,810 --> 00:19:17,730 +باثوية أساسية لإيجاب الـ immunity الهو إنتاج + +234 +00:19:17,730 --> 00:19:22,490 +الانتيبادييعني تيهيلبر 1 بيدينا cell mediated + +235 +00:19:22,490 --> 00:19:27,010 +بينما تيهيلبر 2 بيدينا antibody mediated immunity + +236 +00:19:27,010 --> 00:19:34,290 +وبالتالي تيهيلبر subset also can regulate the + +237 +00:19:34,290 --> 00:19:38,310 +growth and effector function of each other as a + +238 +00:19:38,310 --> 00:19:42,030 +result of the activity of cytokine تنتين شوفنا كيف + +239 +00:19:42,030 --> 00:19:45,430 +بيعملوا regulation to each other من خلال ال + +240 +00:19:45,430 --> 00:19:46,990 +cytokine that they release + +241 +00:19:49,640 --> 00:19:52,320 +الـ IL-10 على سبيل المثال الـ Transformed Growth + +242 +00:19:52,320 --> 00:19:56,460 +Factor Beta اللي تطلع من T helper 2 يمكن انهيبط + +243 +00:19:56,460 --> 00:20:03,400 +انهيبط انهيبط تطور T helper 1 ويوم ما يسير فيه + +244 +00:20:03,400 --> 00:20:07,300 +افراز لـ Gamma Interferon من T helper 1 يمكن + +245 +00:20:07,300 --> 00:20:12,280 +انهيبط انهيبط تطور T helper 2 يبقى Cytokine تقدر + +246 +00:20:12,280 --> 00:20:15,620 +تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر + +247 +00:20:15,620 --> 00:20:17,680 +تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر + +248 +00:20:17,680 --> 00:20:18,590 +تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر تقدر تكو + +249 +00:20:18,590 --> 00:20:22,730 +سيل ترجع الى موقع كويسانت يعني تفرد الـ cytokine + +250 +00:20:22,730 --> 00:20:29,250 +تنشط هذه الخلايا ثم بانتهاء الانتجين ترجع الى + +251 +00:20:29,250 --> 00:20:35,530 +وضعها الطبيعي فهمش cytokine النوع التاني من ال + +252 +00:20:35,530 --> 00:20:42,570 +cytokine that facilitate immune innate immune + +253 +00:20:42,570 --> 00:20:47,200 +response and activate inflammatory responseأنا + +254 +00:20:47,200 --> 00:20:54,800 +بدأش نحكي على إيش على اللي هو ال T + +255 +00:20:54,800 --> 00:20:59,480 +and cell subset نحكي على innate immune response + +256 +00:20:59,480 --> 00:21:03,720 +بشكل عام و activation of inflammatory response + +257 +00:21:03,720 --> 00:21:09,920 +نبدأ في الأول في ال innate immune responseو ال + +258 +00:21:09,920 --> 00:21:17,320 +cytokine اللى موجودة في هذا او ال .. that + +259 +00:21:17,320 --> 00:21:21,740 +facilitate innate immune response it's usually + +260 +00:21:21,740 --> 00:21:26,780 +stimulated by viruses or microbial pathogenهو على + +261 +00:21:26,780 --> 00:21:29,060 +سبيل المثال ايال واحد وايال ستة ايال واحد وايال + +262 +00:21:29,060 --> 00:21:33,580 +ستة ايال + +263 +00:21:33,580 --> 00:21:38,460 +واحد وايال ستة ايال واحد وايال ستة ايال واحد وايال + +264 +00:21:38,460 --> 00:21:43,400 +ستة ايال واحد وايال ستة ايال واحد وايال ستة ايال + +265 +00:21:43,400 --> 00:21:44,120 +واحد وايال ستة ايال واحد وايال ستة ايال واحد وايال + +266 +00:21:44,120 --> 00:21:44,520 +ستة ايال واحد وايال ستة ايال واحد وايال ستة ايال + +267 +00:21:44,520 --> 00:21:50,560 +واحد وايال ستة ايال واحد وايال ستة ايال واحد و + +268 +00:21:51,490 --> 00:21:55,070 +نمر اتنين They stimulate the production of acute + +269 +00:21:55,070 --> 00:21:57,870 +phase protein شو بيعمل acute phase protein على + +270 +00:21:57,870 --> 00:22:02,550 +مثال على ذلك اللي هو CRP لأنه برتبط بالفوسفوري + +271 +00:22:02,550 --> 00:22:06,850 +الكولين تبع ال bacterial cell membrane or surface + +272 +00:22:07,990 --> 00:22:14,050 +وبالتالي بيعلّم البكتيريا بأنها تعمل كـ Optional + +273 +00:22:14,050 --> 00:22:18,610 +ومتى متعلّمة تتنشط طبعا في نفس الوقت تتنشط اللي هو + +274 +00:22:18,610 --> 00:22:22,530 +بيصير فيه Antibody Complex وبتتنشط ال classical + +275 +00:22:22,530 --> 00:22:27,950 +pathway of the complement نوع تاني من ال acute + +276 +00:22:27,950 --> 00:22:32,360 +phase زي المنوس binding لكتين أيضابرتبط بالـ + +277 +00:22:32,360 --> 00:22:35,340 +Mannose اللى موجودة على سطح البكتيريا وبشتغل as + +278 +00:22:35,340 --> 00:22:40,040 +obstinate وبنشرة complement أيضًا they increase + +279 +00:22:40,040 --> 00:22:43,500 +the number of circulating neutrophil مطلوبة فيه + +280 +00:22:43,500 --> 00:22:48,240 +اللى هو ساحة المعركة during inflammation أيضًا + +281 +00:22:48,240 --> 00:22:55,000 +they can activate Enkei cell نوع + +282 +00:22:55,000 --> 00:22:58,520 +تاني من الـ cytokines ال interferon Alpha و Beta + +283 +00:22:59,070 --> 00:23:04,010 +بإمكانهم ان يكونوا مرتبطين بمجموعات كثيرة بعد + +284 +00:23:04,010 --> 00:23:10,950 +ما يحصل فيه مصابة فيروسية و بإمكانهم ان يحطموا + +285 +00:23:10,950 --> 00:23:18,670 +مجموعات الفيروس و بيمنعوا اللي هو إصابة الخلايا + +286 +00:23:18,670 --> 00:23:25,210 +السليمة بالفيروس هذه الـ cytokine ترفيرون Alpha و + +287 +00:23:25,210 --> 00:23:30,160 +Betaماذا فعلوه؟ قالوا انهم قموا بإضافة الـ MSC + +288 +00:23:30,160 --> 00:23:35,640 +Class I Expression على سطح الخلايا الغير مصابة + +289 +00:23:35,640 --> 00:23:42,540 +وبالتالي بيؤدي الى Making a Newly Infected Cell + +290 +00:23:44,910 --> 00:23:49,130 +خلاص تتميز الخلايا المصابة ما زال زودنا اللى هو ال + +291 +00:23:49,130 --> 00:23:52,710 +expression of MSC class one على سطح الخلايا الغير + +292 +00:23:52,710 --> 00:23:57,850 +مصابة بتصير الخلايا المصابة مميزة فبتتنشط ال + +293 +00:23:57,850 --> 00:24:02,350 +cytotoxic telephosites و بتخلصنا منها ال gamma + +294 +00:24:02,350 --> 00:24:06,690 +interferon اللى بنحكي على Alpha و Beta ال gamma + +295 +00:24:06,690 --> 00:24:12,250 +interferon بتفرز من ال Anky cell and other + +296 +00:24:12,250 --> 00:24:16,730 +effectors cell طبعاوبتعمل induction لـ adaptive + +297 +00:24:16,730 --> 00:24:21,910 +immune responses نشوف + +298 +00:24:21,910 --> 00:24:26,930 +inflammatory cytokine شفنا ال innate cytokine ال + +299 +00:24:26,930 --> 00:24:31,090 +inflammatory cytokine activate inflammatory cell و + +300 +00:24:31,090 --> 00:24:34,910 +هي بيسموهم pro-inflammatory cytokine و هي مثال + +301 +00:24:34,910 --> 00:24:38,070 +عليهم آية 1 و 6 و tumor necrosis factor زي ما + +302 +00:24:38,070 --> 00:24:41,490 +شفناهم طوال شو بيعملوا قالوا they increased + +303 +00:24:41,490 --> 00:24:45,030 +vascular permeabilityبيزودوا اللي هو ال + +304 +00:24:45,030 --> 00:24:50,390 +permeability between ايش within blood vessels طبعا + +305 +00:24:50,390 --> 00:24:54,170 +في هذه الحالة ال vascular endothelial cells بيزود + +306 +00:24:54,170 --> 00:24:57,030 +أيضا ال expression of cell adhesion molecule على + +307 +00:24:57,030 --> 00:25:01,310 +سطحها زي ال E و ال P selected و ال ICAM 1 اللي هو + +308 +00:25:01,310 --> 00:25:03,690 +intracellular adhesion molecule number one + +309 +00:25:03,690 --> 00:25:08,340 +وبالتالي بيسهلوا ارتباطالـ Neutrophil بالـ + +310 +00:25:08,340 --> 00:25:11,980 +endothelial cell وهذه أول خطوة من خطوات + +311 +00:25:11,980 --> 00:25:15,940 +الفاجوسايتوسس بعدها تحصل فيها الـ Diabetes وهي + +312 +00:25:15,940 --> 00:25:21,500 +بتنطلق الـ Neutrophil إلى مكان الحدث جامعة الـ + +313 +00:25:21,500 --> 00:25:29,920 +Interferon بتجذب تعمل Calling لـ Macrophage بتزعج + +314 +00:25:29,920 --> 00:25:35,020 +عليها في منطقة تواجد الـ Antigentransforming + +315 +00:25:35,020 --> 00:25:38,840 +growth factor beta بلعب دور كبير أو بسموط يومر + +316 +00:25:38,840 --> 00:25:42,180 +growth factor beta بلعب دور كبير in terminating + +317 +00:25:42,180 --> 00:25:44,760 +inflammatory response هو عبارة عن inhibitory + +318 +00:25:44,760 --> 00:25:52,920 +cytokine وبالتالي بيعمل اللي هو accumulation + +319 +00:25:52,920 --> 00:25:57,200 +and proliferation للfibroblast في منطقة الحدث and + +320 +00:25:57,200 --> 00:26:00,960 +deposition of extracellular matrix protein اللي + +321 +00:26:00,960 --> 00:26:07,900 +مطلوب for tissue repairطب حاجة ثالثة اللي هو ال + +322 +00:26:07,900 --> 00:26:11,680 +chemokine أو ال cytokine that affect leukocyte + +323 +00:26:11,680 --> 00:26:17,160 +movement قولنا they are usually low molecular + +324 +00:26:17,160 --> 00:26:21,800 +weight chemotactic cytokine they have 70 to 80 + +325 +00:26:21,800 --> 00:26:28,360 +residue and they have conserved sequence and they + +326 +00:26:28,360 --> 00:26:33,590 +are potent attractor يعنيبيجزوا بقوة for various + +327 +00:26:33,590 --> 00:26:36,590 +leukocyte subsites طبعا أهمها الـ monocyte + +328 +00:26:36,590 --> 00:26:40,710 +نيوتروفيل الـ monocyte و ال limphocyte example على + +329 +00:26:40,710 --> 00:26:48,350 +ال chemokine includes IL-8 and this is produced by + +330 +00:26:48,350 --> 00:26:52,610 +monocytes و mobilize + +331 +00:26:54,620 --> 00:27:01,120 +و يدفع النيتروفيل و يدفع الاندروجينيسيس هذا هو الـ + +332 +00:27:01,120 --> 00:27:04,600 +cytokine المهم جدا اللي بيحفظ النيتروفيل على + +333 +00:27:04,600 --> 00:27:08,260 +ارتباط بالموليكول الانتياجية اللي على السطح اللي + +334 +00:27:08,260 --> 00:27:14,960 +إيهاش ال blood vessels رانتس اللي انا هنشوفه شغل + +335 +00:27:14,960 --> 00:27:19,720 +رانتس هو عبارة عن أيضا cytokine produced by T + +336 +00:27:19,720 --> 00:27:26,860 +lymphocytesوبيخلّي الـBesophil تـDegranulate + +337 +00:27:26,860 --> 00:27:34,160 +وبينشّر تلينفسايز الـ MCP-1 سنشاهده الآن أيضًا + +338 +00:27:34,160 --> 00:27:39,000 +اختصاراتها دي Produced by monocyte and activate + +339 +00:27:39,000 --> 00:27:43,440 +macrophage أيضًا Stimulate Besophil Histamine + +340 +00:27:43,440 --> 00:27:49,800 +Release وبيحفظ أو بيساعد على تنشيط الـTL-B2 + +341 +00:27:49,800 --> 00:27:59,190 +pathwayالـ MIP1 وبرهن او Alpha مصادر من مونوسايتز + +342 +00:27:59,190 --> 00:28:06,330 +ومشارك تيربر وان وليس تيربر تو اميونيتي ايضا هذا + +343 +00:28:06,330 --> 00:28:09,870 +MIP1 + +344 +00:28:09,870 --> 00:28:13,990 +بيتا اللي بيطلع من المونوسايتز ونيوتروفيل + +345 +00:28:13,990 --> 00:28:24,210 +واندوثيليا سيل بينافس مع HIV 1for chemokine + +346 +00:28:24,210 --> 00:28:29,230 +receptor binding يعني بنافس الـHIV ريسبتور في + +347 +00:28:29,230 --> 00:28:32,970 +الإرتباط من ريسبتوره تبقى اختصارات اللي طوبة نجت + +348 +00:28:32,970 --> 00:28:36,450 +علينا MCP اللي هو عبارة عن monocyte chemotactic + +349 +00:28:36,450 --> 00:28:42,210 +protein والـMIB هي عبارة عن macro phage + +350 +00:28:42,210 --> 00:28:46,880 +inflammatory proteinوالرانتس هو عبارة عن regulated + +351 +00:28:46,880 --> 00:28:57,140 +upon activation normalty expressed and secreted دي + +352 +00:28:57,140 --> 00:29:00,140 +اللي هو ال cytokines اللي هت stimulate همو، + +353 +00:29:00,140 --> 00:29:05,600 +hematopoiesis طبعا هم أكتر هم أخدناهم ال cytokines + +354 +00:29:05,600 --> 00:29:10,880 +دي هم قادرين على إستخدام حرارة حرارة حرارة و أيضا + +355 +00:29:10,880 --> 00:29:17,720 +they can be produced in vitroو بيستخدموهم في + +356 +00:29:17,720 --> 00:29:22,200 +culture media to induce hemopoiesis و بنسميهم + +357 +00:29:22,200 --> 00:29:25,800 +collectively colon stimulating factor أمثلة كثيرة + +358 +00:29:25,800 --> 00:29:29,960 +على ذلك زي ال macro phase colon stimulating factor + +359 +00:29:29,960 --> 00:29:34,700 +و ال granulocyte colon stimulating factor GMCSF + +360 +00:29:34,700 --> 00:29:39,820 +IL3 و هذا بيسموه أبو ال cytokine stimulate clonal + +361 +00:29:39,820 --> 00:29:43,220 +growth of large number of cell population عشان أيه + +362 +00:29:43,220 --> 00:29:48,410 +بيسموه father of cytokinesأيال تلاتة في وجود + +363 +00:29:48,410 --> 00:29:56,770 +الارتروبيتين أيضًا بيؤدي إلى تنشيط او الارتروبيسيس + +364 +00:29:56,770 --> 00:30:03,510 +بيحول النورموبلاس ل RBCs وأيال سبعة produced by + +365 +00:30:03,510 --> 00:30:08,230 +bone marrow and thymic stromal cell بيؤدي إلى + +366 +00:30:08,230 --> 00:30:12,160 +differentiation of lymphoid stem cellلـ B + +367 +00:30:12,160 --> 00:30:20,060 +-Lymphocyte وT-Lymphocyte الـ GCSF أيضًا بيستخدم + +368 +00:30:20,060 --> 00:30:24,040 +to reverse نيوتروبينيا يعني واحد عنده نيوتروبينيا + +369 +00:30:24,040 --> 00:30:27,740 +بيزود تنشيط أو تكوين النيوتروفيل + +370 +00:30:32,590 --> 00:30:36,270 +بنزود عدد الـ Neutrophil وهذا بيستخدم في حالات الـ + +371 +00:30:36,270 --> 00:30:41,430 +high-dose chemotherapy الـ GMCSF أيضًا is used to + +372 +00:30:41,430 --> 00:30:43,490 +treat patients undergoing bone marrow + +373 +00:30:43,490 --> 00:30:48,390 +transplantation شو وظيفته بيعمل boosting for + +374 +00:30:48,390 --> 00:30:53,220 +clonal expansion of granulocyte and macrophageو + +375 +00:30:53,220 --> 00:31:00,480 +هذه أمثلة كثيرة على الـ hemopoietic cytokine طب + +376 +00:31:00,480 --> 00:31:04,100 +نيجي نحكي على ال cytokine receptor قالوا these + +377 +00:31:04,100 --> 00:31:09,040 +cytokine can act collectively أنا بحكيها لغاية + +378 +00:31:09,040 --> 00:31:12,820 +cytokine collectively can act only on target cells + +379 +00:31:14,360 --> 00:31:17,480 +اللي على سطحها receptor for the cytokine ما + +380 +00:31:17,480 --> 00:31:20,780 +بيشتغلوا على كل الخلايا فقط الخلايا اللي على سطحها + +381 +00:31:20,780 --> 00:31:25,060 +receptor for the cytokine شو بيعملوه ال resting + +382 +00:31:25,060 --> 00:31:31,500 +cell في الغالب do not express receptor ماشي or + +383 +00:31:31,500 --> 00:31:36,350 +they express it in low affinityالعامل على ذلك IL-2 + +384 +00:31:36,350 --> 00:31:40,770 +ريسيبتور هو الـ Intermediate Affinity Diameter + +385 +00:31:40,770 --> 00:31:47,470 +بيتاجامع الـ Chain أو يمكن أن يكون موصولا في High + +386 +00:31:47,470 --> 00:31:51,330 +Affinity Diameter يوم يكون عامل الـ Chain بيكون + +387 +00:31:51,330 --> 00:31:54,230 +Low Affinityبقى دي في ال resting cell لكن يوم ما + +388 +00:31:54,230 --> 00:31:59,410 +تتنشق بتتحول إلى اللي هو triangular يعني three + +389 +00:31:59,410 --> 00:32:03,030 +chain + +390 +00:32:03,030 --> 00:32:09,350 +receptors اللي هم Alpha, Beta, Gamma وبالتالي in + +391 +00:32:09,350 --> 00:32:14,350 +response to IL-2 secretion طبعا المعلومات اللي + +392 +00:32:14,350 --> 00:32:17,950 +استقلت من ال cytokine to cytokine receptor + +393 +00:32:17,950 --> 00:32:28,260 +interactionبدت إلى الى + +394 +00:32:28,260 --> 00:32:36,760 +وضع خطط لمنع وظائف الـ cytokine أثناء الـ + +395 +00:32:36,760 --> 00:32:40,420 +inflammatory responsesزي في حالات Rheumatoid + +396 +00:32:40,420 --> 00:32:44,220 +Arthritis او Transplantation Rejection يعني اليوم + +397 +00:32:44,220 --> 00:32:47,260 +معرفتنا من خلال معرفتنا للـ cytokine to cytokine + +398 +00:32:47,260 --> 00:32:53,880 +receptor interaction اقدرنا نستخلص استراتيجيات + +399 +00:32:53,880 --> 00:33:00,420 +علاجية لمنع وظائف او عمل بعض ال cytokine اثناء + +400 +00:33:00,420 --> 00:33:03,620 +حالات مرضية زي Rheumatoid Arthritis او + +401 +00:33:03,620 --> 00:33:11,380 +Transplantation طيب قسموا ال receptorsأو خمس + +402 +00:33:11,380 --> 00:33:17,780 +عائلات كبيرة اما immunoglobulin superfamily + +403 +00:33:17,780 --> 00:33:24,540 +receptor او class one cytokine receptorأو بيسموهم + +404 +00:33:24,540 --> 00:33:28,420 +hemopoietin receptor family و class 2 cytokine + +405 +00:33:28,420 --> 00:33:32,920 +receptor أو بيسموهم interferon receptor family ثم + +406 +00:33:32,920 --> 00:33:36,140 +transform أو tumor necrosis factor receptor super + +407 +00:33:36,140 --> 00:33:42,060 +family and chemokine receptor family خمس عائلات + +408 +00:33:42,060 --> 00:33:46,080 +وهذا هم في الصورة زي ما انتوا شايفين هي ال + +409 +00:33:46,080 --> 00:33:50,560 +immunoglobulin super familyوهي أمثلة على cytokine + +410 +00:33:50,560 --> 00:33:57,860 +ترتبط فيها ثم class one cytokine receptor وهي كمان + +411 +00:33:57,860 --> 00:34:03,320 +أمثلة على ذلك ثم class two ثم human cross factor + +412 +00:34:03,320 --> 00:34:08,160 +ثم chemokine receptor أمثلة طبعا زي ما انتوا + +413 +00:34:08,160 --> 00:34:13,320 +شايفين receptor لها أشكال مختلفة لكن كلها تشترك في + +414 +00:34:13,320 --> 00:34:16,660 +different domains زي ما هنشوف الآن + +415 +00:34:19,980 --> 00:34:20,880 +العائلة الأولانية اللي بيجي بتاعة ال + +416 +00:34:20,880 --> 00:34:24,480 +Immunoglobulin Superfamily Receptor لديها على + +417 +00:34:24,480 --> 00:34:25,860 +الأقل واحدة من المستوى المشابه للإمينoglobulin + +418 +00:34:25,860 --> 00:34:31,080 +يعني زي ما قلنا فيه domain موجودة فيها دي Receptor + +419 +00:34:31,080 --> 00:34:34,000 +فالعائلة الأولانية اللي بيجي بتاعة ال + +420 +00:34:34,000 --> 00:34:38,400 +Immunoglobulin Superfamily Receptor وقت تضم عائلة + +421 +00:34:38,400 --> 00:34:46,840 +طويلة من ال Receptor بيحتوي Receptor تبعها at + +422 +00:34:46,840 --> 00:34:53,480 +least for one immunoglobulinLike Domain Class I + +423 +00:34:53,480 --> 00:34:57,900 +سيطوكاين ريسبتور أو سموها hemopoietin receptor + +424 +00:34:57,900 --> 00:35:06,440 +family بتتكون من two polypeptide chain و واحدة + +425 +00:35:06,440 --> 00:35:11,380 +alphaمشهورة عن ال signal transduction واحدة Alpha + +426 +00:35:11,380 --> 00:35:14,400 +والتانية Beta اللي هي مسهولة عن ال signal + +427 +00:35:14,400 --> 00:35:18,820 +transduction وممكن تكون اما Beta واما Gamma حسب + +428 +00:35:18,820 --> 00:35:23,680 +نوع اللي هو ال cytokine معظم ال cytokine بتستخدم + +429 +00:35:23,680 --> 00:35:28,660 +اللي هو class one family + +430 +00:35:28,660 --> 00:35:36,260 +class one receptor family امثل عليها هي زي ال I L2 + +431 +00:35:36,260 --> 00:35:46,190 +I L3 I L5Y15 و GM و GCSF Class 2 او بيسموها ال + +432 +00:35:46,190 --> 00:35:52,730 +Interferon ماشي Receptor family اللي + +433 +00:35:52,730 --> 00:35:58,050 +كانت تبعها هو ال Interferon and they have + +434 +00:35:58,050 --> 00:36:06,320 +biological activity that overlapمع الذين مرتبطين + +435 +00:36:06,320 --> 00:36:12,960 +بـ Interferon زي IL-10.Tumor Necrosis Factor + +436 +00:36:12,960 --> 00:36:20,480 +Receptor Superfamily مدينة من خلال + +437 +00:36:20,480 --> 00:36:24,580 +مجموعة من الـ Adapter Protein بيسموها الـTumor + +438 +00:36:24,580 --> 00:36:30,600 +Necrosis Factor Receptor Associated Factor و هذه + +439 +00:36:30,600 --> 00:36:35,600 +الـ Receptorوالنكروسيس فاكتوريا الانتشارية + +440 +00:36:35,600 --> 00:36:36,180 +الانتشارية الانتشارية الانتشارية الانتشارية + +441 +00:36:36,180 --> 00:36:38,240 +الانتشارية الانتشارية الانتشارية الانتشارية + +442 +00:36:38,240 --> 00:36:39,620 +الانتشارية الانتشارية الانتشارية الانتشارية + +443 +00:36:39,620 --> 00:36:43,440 +الانتشارية الانتشارية الانتشارية الانتشارية + +444 +00:36:43,440 --> 00:36:48,460 +الانتشارية الانتشارية الانتشارية الانتشارية + +445 +00:36:48,460 --> 00:36:48,920 +الانتشارية الانتشارية الانتشارية الانتشارية + +446 +00:36:48,920 --> 00:36:51,020 +الانتشارية الانتشارية الانتشارية الانتشارية + +447 +00:36:51,020 --> 00:36:52,740 +الانتشارية الانتشارية الانتشارية الانتشارية + +448 +00:36:52,740 --> 00:37:00,540 +الانتشارية الانتشارية + +449 +00:37:01,880 --> 00:37:25,120 +وهي موجودة في مجموعة + +450 +00:37:25,120 --> 00:37:28,620 +متباينة من الـ pathogen مثل + +451 +00:37:31,150 --> 00:37:35,750 +Stryptococcus pneumonia اللي بترتبط بالـ Platelet + +452 +00:37:35,750 --> 00:37:40,270 +Activating Factor Receptor بترتبط بالـ Plasmodium + +453 +00:37:40,270 --> 00:37:47,110 +V-Vax اللي برتبط بالـ Duffy Blood Group Antigen + +454 +00:37:47,110 --> 00:37:54,410 +بترتبط بالـ HIV-1 اللي الـ Receptor تبعه عبارة عن + +455 +00:37:54,410 --> 00:37:59,310 +CXC R4 و Chemokine Receptor 5 + +456 +00:38:01,950 --> 00:38:05,790 +هؤلاء المسؤولين لـ Viral Entry into T Cell and + +457 +00:38:05,790 --> 00:38:10,950 +Macrophage Respectively وهذا + +458 +00:38:10,950 --> 00:38:18,050 +عبارة عن دور الـ cytokine in disease راحظوا الخِجر + +459 +00:38:18,050 --> 00:38:25,490 +كيف تصبح القالية طبعا هذا عبارة عن Receptor مرتبط + +460 +00:38:25,490 --> 00:38:28,690 +بـ Adapter بروتيناي في الداخل من داخل الـ + +461 +00:38:28,690 --> 00:38:30,730 +Intracytoplasmic + +462 +00:38:32,560 --> 00:38:37,500 +بورشين مرتبط بال جاكي بروتين أي ال cytokine يفرز + +463 +00:38:37,500 --> 00:38:44,680 +يروح و مرتبط ب ال receptor تبعه فمتما ارتبط بال + +464 +00:38:44,680 --> 00:38:48,040 +receptor تبعه بيصير فيه ال diamerization شايفين + +465 +00:38:48,040 --> 00:38:53,400 +كده متباعد ال receptor عن بعض لكن يوم يجي ال + +466 +00:38:53,400 --> 00:38:57,040 +cytokine يفرز بيعمل diamerization ل ال receptors + +467 +00:38:57,040 --> 00:39:00,630 +متما صار في diamerization و يرشكله يعنيبصير + +468 +00:39:00,630 --> 00:39:03,170 +activation للجاك اللي هو ال adaptor البروتين + +469 +00:39:03,170 --> 00:39:08,230 +الداخلي ماشي و هذه عبارة عن energy dependent + +470 +00:39:08,230 --> 00:39:14,430 +process نفقد فيها طاقة ATP بيتحول ل ADP و في نفس + +471 +00:39:14,430 --> 00:39:20,870 +الوقت بيصير phosphorylation لل اللي هو الجاك يعني + +472 +00:39:20,870 --> 00:39:25,750 +بالطبط و عندما صار في activation للجاك بنشطلنا + +473 +00:39:25,750 --> 00:39:32,770 +another اللي هو البروتينبسموه STAT بيعملوا + +474 +00:39:32,770 --> 00:39:36,030 +phosphorylation مات برضه ماتصرفوا ال + +475 +00:39:36,030 --> 00:39:38,990 +phosphorylation لل STAT بيروحوا وصارله + +476 +00:39:38,990 --> 00:39:46,050 +Diamerization وإذا اتحصر Diamerized ال STAT بينتقل + +477 +00:39:46,050 --> 00:39:52,510 +الى ال nucleus و هناك برتبط بجينات المسئولة عن + +478 +00:39:52,510 --> 00:39:59,690 +transcription of specific air اللي هو action + +479 +00:40:01,290 --> 00:40:06,410 +مشي بيدها على السريع في الوضع الطبيعي الـ Receptor + +480 +00:40:06,410 --> 00:40:11,010 +متباعد مرتبط زي ما انتوا شايفين أيه بيتكوين من + +481 +00:40:11,010 --> 00:40:15,210 +Extra Cellular و Transmembrane و Intracytoplasmic + +482 +00:40:15,210 --> 00:40:19,390 +portion ال Intracytoplasmic portion مرتبط + +483 +00:40:19,390 --> 00:40:24,370 +ببروتينات بيسموها Adapter Protein اللي هو ال Jack + +484 +00:40:24,370 --> 00:40:30,470 +اللي هو عبارة عن Genus Activated Kinase مشي + +485 +00:40:31,850 --> 00:40:35,350 +This ده هو بمجرد ما يفرز الـ cytokine + +486 +00:40:35,350 --> 00:40:41,110 +Automatically الريسيبتر بيسمله Diamerization بيجرب + +487 +00:40:41,110 --> 00:40:45,370 +من بعضه ومتما جرب من بعضه ده هو صارله + +488 +00:40:45,370 --> 00:40:49,130 +Diamerization يعني غير شكله فدي رسالة لل jack ال + +489 +00:40:49,130 --> 00:40:53,650 +routine to be activated فده هو بتنطق طبعا هذه + +490 +00:40:53,650 --> 00:40:57,670 +energy independent زي ما شفنا ال ATP بيفقد ومتحول + +491 +00:40:57,670 --> 00:41:02,560 +ل ADP هتنشط ال jackاللي بنشطلنا على ال + +492 +00:41:02,560 --> 00:41:05,060 +transcriptional factor اللي هو عبارة عن الستات + +493 +00:41:05,060 --> 00:41:11,440 +البروتين و لما اتنشط الستات بس ال modernization + +494 +00:41:11,440 --> 00:41:16,940 +اللي بيتسهل دخوله ل ال nucleus و هناك يروح على ال + +495 +00:41:16,940 --> 00:41:21,600 +DNA ويرتبط بجينات معينة بيحفظ على ال transcription + +496 +00:41:21,600 --> 00:41:27,680 +تبعتها فرصة اه وبالتالي بيكون بروتين which induce + +497 +00:41:27,680 --> 00:41:28,320 +activity + +498 +00:41:34,750 --> 00:41:39,810 +Cytokine must generate intracellular signal طبعا + +499 +00:41:39,810 --> 00:41:45,390 +هذا يؤدي إلى انتجر الـ active transcriptional + +500 +00:41:45,390 --> 00:41:49,230 +factor وبالتالي في نهاية بيصير فيه gene expression + +501 +00:41:49,230 --> 00:41:53,710 +زي ما أشوف مطولة هذا عبارة عن شرح لهذا الموضوع + +502 +00:41:53,710 --> 00:41:56,870 +اللي قبل أن أتكلم عنه binding of a cytokine to its + +503 +00:41:56,870 --> 00:42:01,270 +cellular receptor ماذا بيعمل؟ بيعمل polymerization + +504 +00:42:01,270 --> 00:42:02,130 +أو + +505 +00:42:05,690 --> 00:42:09,850 +Signaling is initiated by activation of JAK, نشط + +506 +00:42:09,850 --> 00:42:14,530 +JAK kinases.هذا عبارة عن family of cytosolic + +507 +00:42:14,530 --> 00:42:20,030 +protein tyrosine kinase بيصير في interaction that + +508 +00:42:20,030 --> 00:42:27,100 +interact with cytoplasmic domainطبعا هذا بيؤدي الى + +509 +00:42:27,100 --> 00:42:30,760 +phosphorylation of tyrosine residue اللى موجودة في + +510 +00:42:30,760 --> 00:42:34,400 +الـcytoplasmic دوين of the receptor ان شرحته هذا + +511 +00:42:34,400 --> 00:42:38,320 +الكلام طوأ شرحته على الفجر أنا and on a family of + +512 +00:42:38,320 --> 00:42:41,460 +transcriptional factors بيسموها STAT او باقتصارها + +513 +00:42:41,460 --> 00:42:46,820 +ل signal transduction and activator of + +514 +00:42:46,820 --> 00:42:47,640 +transcription + +515 +00:42:51,360 --> 00:42:55,400 +بالطبع مرة كانت فوسفوريلية من مصادر التشريكات + +516 +00:42:55,400 --> 00:42:56,020 +التشريكات التشريكات التشريكات التشريكات التشريكات + +517 +00:42:56,020 --> 00:42:57,380 +التشريكات التشريكات التشريكات التشريكات التشريكات + +518 +00:42:57,380 --> 00:42:59,620 +التشريكات التشريكات التشريكات التشريكات التشريكات + +519 +00:42:59,620 --> 00:42:59,920 +التشريكات التشريكات التشريكات التشريكات التشريكات + +520 +00:42:59,920 --> 00:43:01,940 +التشريكات التشريكات التشريكات التشريكات التشريكات + +521 +00:43:01,940 --> 00:43:02,180 +التشريكات التشريكات التشريكات التشريكات التشريكات + +522 +00:43:02,180 --> 00:43:12,640 +التشريكات التشريكات التشريكات التشريكات التشريك + +523 +00:43:14,550 --> 00:43:19,130 +بتكون مصحوبة بـ cytoplasmic protein بيسموهم بإفراز + +524 +00:43:19,130 --> 00:43:22,870 +طبعا تكوين cytoplasmic protein بيسموهم suppressor + +525 +00:43:22,870 --> 00:43:28,590 +of cytokine suppressor of cytokine أو بيسموهم SOX + +526 +00:43:28,590 --> 00:43:34,290 +protein and this signaling protein regulate the + +527 +00:43:34,290 --> 00:43:38,590 +signal transduction من خلال ارتباط بـ cytokine + +528 +00:43:38,590 --> 00:43:41,590 +receptor وبالتالي ال signaling protein + +529 +00:43:45,750 --> 00:43:51,090 +بصير لها دي degradation يعني .. يعني متى ما هي + +530 +00:43:51,090 --> 00:43:56,130 +بتنافس ال .. اللي هو ال signaling بروتين في + +531 +00:43:56,130 --> 00:44:00,190 +الارتباط بال receptor تبعته وبالتالي بيبطل في + +532 +00:44:00,190 --> 00:44:05,030 +action لمين في تكوين ال cytokine او وبالتالي مافيش + +533 +00:44:05,030 --> 00:44:09,970 +reaction دي regulation of normal socks بلعب دور + +534 +00:44:09,970 --> 00:44:21,070 +كبيرفي حالات مرضية مختلفة اللقب في هذه الطبال + +535 +00:44:21,070 --> 00:44:28,050 +ناحية علاجية طبعا استخدام ال protein can + +536 +00:44:28,050 --> 00:44:35,090 +manipulate the function of certain cytokine + +537 +00:44:35,090 --> 00:44:40,270 +وبالتالي we can treat diseases by using them + +538 +00:44:43,160 --> 00:44:47,440 +طب نشوف دورهم دور ال cytokine في حالات مرضية نمر + +539 +00:44:47,440 --> 00:44:54,200 +واحد toxic shock syndrome غالبا بنشوفها لما قلنا + +540 +00:44:54,200 --> 00:44:58,200 +لما بيخش ال antigen بكمية كبيرة بيتوفرز ال + +541 +00:44:58,200 --> 00:45:00,880 +cytokine بكمية كبيرة و بتعملنا toxic shock + +542 +00:45:00,880 --> 00:45:04,080 +syndrome شو اللي بيصير it's initiated by the + +543 +00:45:04,080 --> 00:45:07,020 +release of super antigen في حالة ال super antigen + +544 +00:45:08,870 --> 00:45:11,170 +شو اللي بيصير؟ بتكون كمية كبيرة من الـ cytokine + +545 +00:45:11,170 --> 00:45:17,310 +اللي بتنشر كمية كبيرة من الـ T lymphocyte هو يعني + +546 +00:45:17,310 --> 00:45:20,490 +بيقولوا ان هو الفرق بين ال antigen العادي وال + +547 +00:45:20,490 --> 00:45:22,690 +super antigen دخول ال antigen العادي وال super + +548 +00:45:22,690 --> 00:45:27,810 +antigen في تنشيط ال T lymphocyte تقريبا في وجود ال + +549 +00:45:27,810 --> 00:45:34,490 +antigen العادي واحد من عشر تلاف من ال T lymphocyte + +550 +00:45:34,490 --> 00:45:40,820 +اللي موجودة في الجسم تتنشربينما في وجود ال super + +551 +00:45:40,820 --> 00:45:44,760 +antigen كل ال cytokine التليفوسيت اللي موجودة في + +552 +00:45:44,760 --> 00:45:50,700 +الجسم تتنشر فتخيل الفرق بين التانين طبعا هذا بيأدي + +553 +00:45:50,700 --> 00:45:55,980 +إلى هذا بي .. بي .. بي .. بي .. بيصير في وجود + +554 +00:45:55,980 --> 00:45:59,480 +excessive + +555 +00:45:59,480 --> 00:46:04,200 +production of cytokine ووجود لل cytokine بكمية + +556 +00:46:04,200 --> 00:46:09,980 +كبيرة بتعمل dysregulation للCytokine Network بيؤدي + +557 +00:46:09,980 --> 00:46:14,680 +الى I level YL1 and tumor necrosis factor و هدولة + +558 +00:46:14,680 --> 00:46:17,760 +ال cytokine two cytokine دي induce systemic + +559 +00:46:17,760 --> 00:46:24,000 +reaction بما فيها الفيور و blood clotting ديارية + +560 +00:46:24,000 --> 00:46:28,080 +drop in blood pressure and shock و بعض المرات + +561 +00:46:28,080 --> 00:46:35,190 +بيصير فيه deathماشي يبقى افراز ال IL-1 و ال human + +562 +00:46:35,190 --> 00:46:40,690 +cross factor بكمية كبيرة نتجة وجود انتجن بكمية + +563 +00:46:40,690 --> 00:46:45,590 +كبيرة و تنشيط الينفوسايت بكمية كبيرة بيؤدي إلى + +564 +00:46:45,590 --> 00:46:50,030 +اللي هو toxic shock syndrome اللي من مظاهرها طبعا + +565 +00:46:50,030 --> 00:46:53,430 +fever و زي ما قلنا ده هو blood clotting diarrhea + +566 +00:46:53,430 --> 00:46:58,350 +drop in blood pressure و shock و ممكن تؤدي الى + +567 +00:46:58,350 --> 00:47:03,470 +الوفاةحالة الـ Bacterial Septic Shock أيضًا + +568 +00:47:03,470 --> 00:47:08,690 +Overproduction of Cytokine اللي غالبًا بتكون + +569 +00:47:08,690 --> 00:47:12,010 +مسحوبة في وجود Gram Negative Bacterial Infection + +570 +00:47:12,010 --> 00:47:18,970 +أو Endotoxin produced by these bacteria بتنشطلنا + +571 +00:47:18,970 --> 00:47:24,530 +الماكروفاج وبالتالي بتفرز IL-1 وTumor Noxious + +572 +00:47:24,530 --> 00:47:29,740 +Factor توي شفناهم Alphaاللي بيقدّو الى fatal form + +573 +00:47:29,740 --> 00:47:42,780 +of bacterial septic shock حالة + +574 +00:47:42,780 --> 00:47:50,300 +ال cancer في حالة ال cancer بيصير + +575 +00:47:50,300 --> 00:47:56,020 +فيه طبعا اكتر من خلايا seboral lymphoid و myeloid + +576 +00:47:56,020 --> 00:47:56,520 +cancer + +577 +00:47:59,730 --> 00:48:02,570 +اللي are associated with abnormally high level of + +578 +00:48:02,570 --> 00:48:06,410 +cytokine وبالتالي بيصير برضه cytokine receptor + +579 +00:48:06,410 --> 00:48:10,990 +expression بكميات كبيرة فعلى سبيل المثال أضل T سلو + +580 +00:48:10,990 --> 00:48:21,250 +كيميا غالبا يكون فيها T سلو أو نتيجة T سلو كيميا + +581 +00:48:21,250 --> 00:48:23,150 +virus اللي هو ال HDLV1 + +582 +00:48:25,350 --> 00:48:33,530 +هذه الفيروسات يمكنها انفكار تلينفوسايت + +583 +00:48:33,530 --> 00:48:41,630 +ووجدتها بتفرز IL-2 بكميات كبيرة و IL-2 ريسبتور في + +584 +00:48:41,630 --> 00:48:47,750 +غياب الانتيجن هذا بيؤدي الى autocrine stimulation + +585 +00:48:47,750 --> 00:48:52,750 +of infected T cell وطبعا بيؤدي الى uncontrolled + +586 +00:48:52,750 --> 00:48:59,450 +growthبجفعات الـ T cell leukemia اللي طبعا مسببها + +587 +00:48:59,450 --> 00:49:00,610 +HTLV-1 + +588 +00:49:05,050 --> 00:49:08,930 +T lymphocyte is infected with this virus وبالتالي + +589 +00:49:08,930 --> 00:49:13,030 +تفرز ال IL-2 بكميات كبيرة كمان ال receptor تبع ال + +590 +00:49:13,030 --> 00:49:19,590 +IL-2 بيفرز بكميات كبيرة وبالتالي بتتنشط اللي هو ال + +591 +00:49:19,590 --> 00:49:26,410 +T lymphocyte عدد كبير من T lymphocyte في غياب ال + +592 +00:49:26,410 --> 00:49:31,830 +antigen و هذا بيقدي ال autocrine stimulation + +593 +00:49:38,860 --> 00:49:43,300 +مثال آخر نيو بلاستيك بي سيل كمية كبيرة بينما ينتج + +594 +00:49:43,300 --> 00:49:49,680 +سكس مثال آخر هودجكين ديزيز كمية كبيرة من عيال + +595 +00:49:49,680 --> 00:49:58,440 +فوايف تنتج في ال auto immunity و ال disease ال + +596 +00:49:58,440 --> 00:50:00,480 +تيرينفوسايت + +597 +00:50:02,980 --> 00:50:10,680 +أشعر بالتحكم التحكمي لجيلات وجيلات الانتيوبيا + +598 +00:50:10,680 --> 00:50:16,500 +والتحكم في الانتيوبيا.شو + +599 +00:50:16,500 --> 00:50:23,760 +بتعمل؟ بعضها بسبب حركة T-Hilbert-Cell. + +600 +00:50:28,980 --> 00:50:35,360 +activation of T-Helper subset cell + +601 +00:50:35,360 --> 00:50:39,740 +وبالتالي الـ cytokine اللي بتفرز منها بما فيها IL + +602 +00:50:39,740 --> 00:50:47,900 +-10 و Gamma Interferon و IL-4 و several cytokine + +603 +00:50:47,900 --> 00:50:53,960 +and cytokine receptor abnormality سجلت are + +604 +00:50:53,960 --> 00:50:59,310 +associated with autosystemic autoimmune diseaseزي + +605 +00:50:59,310 --> 00:51:02,570 +الـ SLE وبرنامج autoimmune disease اللي لجوا فيها + +606 +00:51:02,570 --> 00:51:07,090 +عيالتين بكمية كبيرة الـ cytokine أيضا تلعب دور + +607 +00:51:07,090 --> 00:51:10,610 +كبير في ال pathophysiology وغذر immune based + +608 +00:51:10,610 --> 00:51:14,190 +disease بما فيها الألرجي والأزمة وinflammatory + +609 +00:51:14,190 --> 00:51:16,030 +disease زي ال rheumatoid arthritis + +610 +00:51:21,420 --> 00:51:26,140 +Therapeutic and diagnostic exploitation of + +611 +00:51:26,140 --> 00:51:31,040 +cytokine and cytokine receptor كيفية الاستفادة + +612 +00:51:31,040 --> 00:51:36,880 +وتسخير هذه العلاجات تسخير هذه ال cytokine و ال + +613 +00:51:36,880 --> 00:51:40,460 +cytokine receptor في ناحية علاجية cytokine + +614 +00:51:40,460 --> 00:51:44,140 +inhibitor او antagonist هذه اول حاجة كيف ممكن نعمل + +615 +00:51:44,140 --> 00:51:49,300 +وقف على بال اللي هو cytokine circulating soluble + +616 +00:51:49,300 --> 00:51:50,340 +cytokine receptor + +617 +00:52:00,900 --> 00:52:04,640 +بالتالي لو عملنا نيوتراليزيشن للاكتفية من هذه الـ + +618 +00:52:04,640 --> 00:52:10,640 +cytokine أو الريسيبتور نعمل عملية توقيف لنشاط هذا + +619 +00:52:10,640 --> 00:52:14,660 +الـ cytokine عملية + +620 +00:52:14,660 --> 00:52:18,380 +ارتباط الـ cytokine بالريسيبتور تبعه هي عبارة عن + +621 +00:52:18,380 --> 00:52:23,370 +process specificيوم ما نعمل neutralization إما للـ + +622 +00:52:23,370 --> 00:52:27,150 +cytokine وإما للـ receptor مانتوا احنا بنوقف رقيش + +623 +00:52:27,150 --> 00:52:32,450 +عمل هذا الـ cytokine مثال على ذلك these inhibitors + +624 +00:52:32,450 --> 00:52:35,870 +اللي + +625 +00:52:35,870 --> 00:52:41,440 +ترتبط بالـIal-2، Ial-4، Ial-6، Ial-7، Gamma + +626 +00:52:41,440 --> 00:52:45,360 +Interferon وTumor Necrosis Factor.Tumor Necrosis + +627 +00:52:45,360 --> 00:52:49,640 +Factor Inhibitor على سبيل المثال تستخدم في اللي هو + +628 +00:52:49,640 --> 00:52:55,280 +علاج روماتويد أرثراتيز لأن في روماتويد أرثراتيز في + +629 +00:52:55,280 --> 00:52:57,740 +increase level of tumor necrosis factor Ial-1 + +630 +00:52:57,740 --> 00:53:04,640 +موجودة في ال joints Ial-1 Receptor Antagonist اللي + +631 +00:53:04,640 --> 00:53:09,330 +هوالـ Antagonist للـ IL-1 ريسبتور مرتبط بالـ IL-1 + +632 +00:53:09,330 --> 00:53:13,770 +ريسبتور اللي موجود على سطح الـ TCD4T-Lymphocyte + +633 +00:53:13,770 --> 00:53:19,110 +وبالتالي بيرنع ارتباط الـ IL-1 وبالتالي مافيش + +634 +00:53:19,110 --> 00:53:27,890 +activation IL-1 Receptor Antagonist بيسموه IL-1RA + +635 +00:53:27,890 --> 00:53:34,750 +يعني Receptor Antagonistبيستخدم في علاج chronic + +636 +00:53:34,750 --> 00:53:40,090 +inflammatory diseases ايضا we can استخدام ال + +637 +00:53:40,090 --> 00:53:43,770 +inhibitor كعلاج + +638 +00:53:43,770 --> 00:53:50,390 +ايضا we can reverse cellular deficiency يعني واحد + +639 +00:53:50,390 --> 00:53:53,290 +عنده neutropenia زي ما شفنا في حالة ال + +640 +00:53:53,290 --> 00:53:58,120 +chemotherapyبكيف بدنا نعملها reversing بنبدي + +641 +00:53:58,120 --> 00:54:04,400 +cytokine تحفظ عملية air ل growth of اللي هو + +642 +00:54:04,400 --> 00:54:08,900 +neutrophil هذا بيصير في حالة ال chemotherapy + +643 +00:54:08,900 --> 00:54:15,780 +ويأمثل على ذلك اللي هو GCSF و GMCSF ايضا في + +644 +00:54:15,780 --> 00:54:20,760 +امكانية الاستغلالهم في علاج ال immunodeficiency + +645 +00:54:22,310 --> 00:54:24,950 +مثلًا في حالة الـ X-linked A-Gamma-Globulinemia + +646 +00:54:24,950 --> 00:54:31,350 +ممكن أن يعالجها بالـ G-CSF to reverse the + +647 +00:54:31,350 --> 00:54:36,150 +neutropenia Gamma Interferon بيقلل من ال severity + +648 +00:54:36,150 --> 00:54:42,850 +of infection غالبًا بواسطة زيادة الـ non-oxidative + +649 +00:54:42,850 --> 00:54:48,510 +antimicrobial activity أيضًا treatment of cancer + +650 +00:54:48,510 --> 00:54:50,830 +and transplanting + +651 +00:54:53,250 --> 00:54:57,630 +الشخص اللذي يتعامل مع مجتمع الانكيسيل أو + +652 +00:54:57,630 --> 00:55:03,550 +تلينفوسايت فيوزود كميات كبيرة من ال IL-2 تؤدي إلى + +653 +00:55:03,550 --> 00:55:08,790 +تكوين الانكسيسيل الافكتوريات اللي هم قوية لديها + +654 +00:55:08,790 --> 00:55:09,290 +عملية عملية عملية عملية عملية عملية عملية عملية + +655 +00:55:09,290 --> 00:55:12,390 +عملية عملية عملية عملية عملية عملية عملية عملية + +656 +00:55:12,390 --> 00:55:13,550 +عملية عملية عملية عملية عملية عملية عملية عملية + +657 +00:55:13,550 --> 00:55:15,070 +عملية عملية عملية عملية عملية عملية عملية عملية + +658 +00:55:15,070 --> 00:55:16,030 +عملية عملية عملية عملية عملية عملية عملية عملية ع + +659 +00:55:16,340 --> 00:55:19,700 +as it enhances the expression وعمل الـCGT2 + +660 +00:55:19,700 --> 00:55:23,740 +للموليكيول ما يحصل هو نأخذ أنكسي الأوساط + +661 +00:55:23,740 --> 00:55:28,280 +التكسكتيينفوسات ونعملها culture في وجود IL-2 فبصير + +662 +00:55:28,280 --> 00:55:34,420 +في كميات كبيرة من الخلايا المنعية الفاعلة هذه و + +663 +00:55:34,420 --> 00:55:39,200 +these have potent antitumor activity اللي طبعا يوم + +664 +00:55:39,200 --> 00:55:41,880 +ما تتنشط بيصير فيه إفراز لـGamma Interferon على + +665 +00:55:41,880 --> 00:55:46,100 +سبيل المثال إيش؟ كيف بيشتغل؟ + +666 +00:55:48,470 --> 00:55:53,850 +هو الـ Killing of Tumor Cell كيف؟ لأنه بيزود ال + +667 +00:55:53,850 --> 00:55:57,210 +expression of MHC Class II موليكيول على سطح + +668 +00:55:57,210 --> 00:56:02,730 +الخلايا السرينة Cytokine Receptor Specific + +669 +00:56:02,730 --> 00:56:08,270 +Antibody ممكن نستخدم اللي هو antibody specific + +670 +00:56:08,270 --> 00:56:12,130 +لcytokine receptor معين + +671 +00:56:19,480 --> 00:56:25,940 +مثال على ذلك ان قضل T cell leukemia lymphoma ATLL + +672 +00:56:25,940 --> 00:56:31,960 +الليوكيميكس ال اكسبيس ايالتو ريسبتور Alpha Chain + +673 +00:56:31,960 --> 00:56:39,100 +بو CD25 فاليوم بيستخدموا ال entity Anti CD25 + +674 +00:56:39,100 --> 00:56:45,720 +Antibodyطبعا هذه بتعمل Anti-Tag Antibody بيسموها + +675 +00:56:45,720 --> 00:56:51,860 +That induce response in one third of the patient + +676 +00:56:51,860 --> 00:56:56,260 +يعني المهم أثبتت جدارتها في تلت حالات .. تلت + +677 +00:56:56,260 --> 00:57:04,800 +المرضى في هذه الحالةAnti-T Anti-CD25 Therapy اليوم + +678 +00:57:04,800 --> 00:57:08,540 +بيستخدم as part of regimen of immunosuppressive + +679 +00:57:08,540 --> 00:57:12,620 +therapy بنشوفها في كل مرضى ال transplanted patient + +680 +00:57:12,620 --> 00:57:19,260 +اللي بياخدوا كنوع من أنواع اللي هو التثبيت ال + +681 +00:57:19,260 --> 00:57:26,480 +Allograft أو ال transplant rejection Treatment + +682 +00:57:26,480 --> 00:57:32,670 +of allergy and asthmaاليوم بعمل انجيكشن ل IL-4 شو + +683 +00:57:32,670 --> 00:57:39,150 +بتعمل IL-4؟ بتوعها عاملة class switching لـ B + +684 +00:57:39,150 --> 00:57:44,810 +lymphocytes وبالتالي بتغير نوع ال antibody اللي + +685 +00:57:44,810 --> 00:57:50,110 +متكون في حالة ال RIG بتغير من ال IGE لل IGG + +686 +00:57:52,720 --> 00:57:56,360 +بعد ذلك يجب أن تستخدم الـ IL-4 ريسبتور و ليس فقط + +687 +00:57:56,360 --> 00:58:02,100 +الـ IL-4 الـ cytokine كمان الريسبتور تبعه كمان لا + +688 +00:58:02,100 --> 00:58:09,260 +ننسى تيهيلبر 17 تي سيل و IL-17 الـ cytokine family + +689 +00:58:09,260 --> 00:58:17,800 +ماذا بتعمل؟ قالوا هذه بتعمل filling the gap كيف؟ + +690 +00:58:17,800 --> 00:58:24,850 +قالوابإمكانهم إستعمال إجارة الإجارة الإيمينية. ما + +691 +00:58:24,850 --> 00:58:27,870 +يفعل IL-17؟ جاله Stimulate Demobilization and + +692 +00:58:27,870 --> 00:58:31,590 +Generation of Neutrophil. وبالتالي، يقوموا بإعادة + +693 +00:58:31,590 --> 00:58:34,810 +الفرق بين الإجارة الإيمينية والإجارة الإجارية + +694 +00:58:34,810 --> 00:58:44,230 +الإيمينية. IL-17 يشتغل في حالات الإجارة الإيمينية + +695 +00:58:44,230 --> 00:58:44,650 +والإجارة الإيمينية. + +696 +00:58:49,190 --> 00:58:53,070 +الـ innate والـ adaptive immune responses ايضا الـ + +697 +00:58:53,070 --> 00:58:57,210 +Tlbar-17 بتمثل + +698 +00:58:57,210 --> 00:59:04,310 +الذراع الـ adaptive immune response وبتمثل + +699 +00:59:04,310 --> 00:59:07,970 +طبعا ذراع قوي in protection against extracellular + +700 +00:59:07,970 --> 00:59:16,480 +bacteria and some fungi وهذه بعضالبركتيريا أو + +701 +00:59:16,480 --> 00:59:22,380 +الفنجايا التي تغطيها البروانوتيا البرتوما IL-17 + +702 +00:59:22,380 --> 00:59:28,420 +تدفع تحريك التحريك والتحريك النوتروفيل نوتروفيل + +703 +00:59:28,420 --> 00:59:33,400 +نوتروفيل نوتروفيل نوتروفيل نوتروفيل نوتروفيل + +704 +00:59:33,400 --> 00:59:38,680 +نوتروفيل + +705 +00:59:47,940 --> 00:59:58,540 +بالتأكيد الـ K-Mediator يعتبر الـ IL-17 + +706 +00:59:58,540 --> 01:00:01,720 +مدير + +707 +01:00:01,720 --> 01:00:09,760 +مختلف من الـ Auto-inflammatory cytokine وطبعا + +708 +01:00:09,760 --> 01:00:17,350 +هنابيبين لنا دور أو الخطوات اللي بتكون فيها الـ + +709 +01:00:17,350 --> 01:00:25,490 +neutrophil to induce its action طبعا + +710 +01:00:25,490 --> 01:00:29,470 +هذه عبارة عن خطوات الـ phagocytosis زي ما انتوا + +711 +01:00:29,470 --> 01:00:34,530 +شايفين هذه عبارة عن blood endothelial cells بتبطن + +712 +01:00:34,530 --> 01:00:38,170 +جدار الوعي الدمويفي الوضع الطبيعي الـ neutrophil + +713 +01:00:38,170 --> 01:00:44,270 +is rolling على سطح ال endothelial cells once + +714 +01:00:44,270 --> 01:00:52,480 +activated كمال ياديرانسأول خطوة من الخطوات اللي هو + +715 +01:00:52,480 --> 01:00:56,840 +الـ phagocytosis ثم بعد ذلك طبعا ال adherence with + +716 +01:00:56,840 --> 01:01:00,040 +adhesion molecule على سطح ال endothelial cell + +717 +01:01:00,040 --> 01:01:03,260 +بتعمل activation لل endothelial cell وبالتالي + +718 +01:01:03,260 --> 01:01:08,040 +بيصير فيه تباعد بين الخلايا فبتعمل Trans + +719 +01:01:08,040 --> 01:01:12,000 +endothelial migration بتعمل Diabeteses هذه + +720 +01:01:12,000 --> 01:01:17,940 +النيترافيل وده هي طلعت من وين من ال endothelial to + +721 +01:01:17,940 --> 01:01:23,030 +the tissueيعني Migration of Neutrophil ثم بتتبع + +722 +01:01:23,030 --> 01:01:27,890 +الـ Chemotactic Factor Concentration Gradient ده + +723 +01:01:27,890 --> 01:01:34,210 +هو مثال على ذلك اللي هو ILA و بتبقى ماشية لغاية ما + +724 +01:01:34,210 --> 01:01:36,910 +تصلمين لل Antigen + +725 +01:01:39,770 --> 01:01:45,390 +هذا مثال آخر على الـ Receptors بيبين لنا ارتباط + +726 +01:01:45,390 --> 01:01:50,370 +الـ cytokine بالـ Receptors with the affinity of + +727 +01:01:50,370 --> 01:01:54,510 +cytokine receptor binding طبعا حسب نوع الـ + +728 +01:01:54,510 --> 01:01:58,490 +cytokine إذا كان double-chain أو triple-chain طبعا + +729 +01:01:58,490 --> 01:02:03,690 +في الـ double-chain بيكون affinity of bindingمن ال + +730 +01:02:03,690 --> 01:02:07,710 +triple chain هي انا intermediate affinity and high + +731 +01:02:07,710 --> 01:02:11,770 +affinity لانها عيش لانها triple chain و طبعا هذا + +732 +01:02:11,770 --> 01:02:18,970 +فقط مثال على ال affinity or binding هي انا عشرة + +733 +01:02:18,970 --> 01:02:24,130 +قوة minus تسعة انا صارت عشرة قوة minus eleven لان + +734 +01:02:24,130 --> 01:02:30,650 +اتنشط طبعا اللي هو ال anky cell restingor resting + +735 +01:02:30,650 --> 01:02:36,510 +T lymphocytes أنا صار في activation ل T + +736 +01:02:36,510 --> 01:02:46,050 +lymphocytes بهك بنكون مرينا على المحاضرة + +737 +01:02:46,050 --> 01:02:55,050 +و أخدنا اللي هو general view على ذلك + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FHPHT7IameQ_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FHPHT7IameQ_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..380350135c78d674fd48960e1da84782252d0bc9 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/FHPHT7IameQ_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 1619, "start": 2.23, "end": 16.19, "text": "بسم الله الرحمن الرحيم نلتقى اليوم في محاضرة جديدة عنوان cytokine وكما تعلمون ال cytokine هي عبارة عن جليكو بروتين substance which has low molecular weight", "tokens": [3555, 38251, 21984, 34892, 5016, 27842, 34892, 5016, 32640, 8717, 1211, 2655, 4587, 7578, 45595, 20498, 8978, 3714, 5016, 46958, 25720, 10874, 16254, 41891, 18871, 2407, 7649, 40248, 453, 533, 4032, 4117, 15042, 37279, 19528, 11536, 2423, 40248, 453, 533, 39896, 6225, 3555, 9640, 3660, 18871, 10874, 20292, 4117, 2407, 4724, 32887, 31371, 1863, 12961, 597, 575, 2295, 19046, 3364], "avg_logprob": -0.26011781614334856, "compression_ratio": 1.3928571428571428, "no_speech_prob": 2.0265579223632812e-06, "words": [{"start": 2.23, "end": 2.53, "word": "بسم", "probability": 0.878173828125}, {"start": 2.53, "end": 2.79, "word": " الله", "probability": 0.9619140625}, {"start": 2.79, "end": 3.17, "word": " الرحمن", "probability": 0.96826171875}, {"start": 3.17, "end": 3.69, "word": " الرحيم", "probability": 0.99365234375}, {"start": 3.69, 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"word": " كمان", "probability": 0.9444986979166666}, {"start": 671.67, "end": 671.97, "word": " ممكن", "probability": 0.98388671875}, {"start": 671.97, "end": 672.23, "word": " احنا", "probability": 0.8642578125}, {"start": 672.23, "end": 672.89, "word": " نلعب", "probability": 0.9959716796875}, {"start": 672.89, "end": 673.71, "word": " بال", "probability": 0.7978515625}, {"start": 673.71, "end": 675.03, "word": " cytokine", "probability": 0.8470052083333334}, {"start": 675.03, "end": 675.17, "word": " من", "probability": 0.97265625}, {"start": 675.17, "end": 675.47, "word": " ناحية", "probability": 0.95654296875}, {"start": 675.47, "end": 675.97, "word": " الليرية", "probability": 0.3639322916666667}, {"start": 675.97, "end": 676.51, "word": " نستفيد", "probability": 0.9649658203125}, {"start": 676.51, "end": 676.83, "word": " منهم", "probability": 0.889404296875}, {"start": 676.83, "end": 677.01, "word": " من", "probability": 0.95849609375}, {"start": 677.01, "end": 677.33, "word": " ناحية", "probability": 0.9637044270833334}, {"start": 677.33, "end": 677.69, "word": " إيش", "probability": 0.5821126302083334}], "temperature": 1.0}, {"id": 27, "seek": 69943, "start": 677.95, "end": 699.43, "text": "إلاجية أيضا في يعني التلاعب في اللي هو ال immune system على سبيل المثال if we use the component اللي هو cytokine we can activate if we use the cytokine antagonist we can inhibit و لا كذا", "tokens": [28814, 1211, 26108, 10632, 36632, 11242, 995, 8978, 37495, 22653, 16712, 15040, 3615, 3555, 8978, 13672, 1829, 31439, 2423, 11992, 1185, 15844, 8608, 21292, 1211, 9673, 12984, 6027, 498, 321, 764, 264, 6542, 13672, 1829, 31439, 40248, 453, 533, 321, 393, 13615, 498, 321, 764, 264, 40248, 453, 533, 32590, 468, 321, 393, 49858, 4032, 20193, 9122, 15730], "avg_logprob": -0.22311969833858944, "compression_ratio": 1.4698795180722892, "no_speech_prob": 2.384185791015625e-07, "words": [{"start": 677.95, "end": 678.69, "word": "إلاجية", "probability": 0.5973587036132812}, {"start": 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"text": "بإمكاننا تحريك نظام الحيوانات باستخدام هذه الـ cytokine طيب ما هي الخلايا اللى ممكن تفرزلنا اللى هو cytokine in a cascade manner طبعا في خلايا given cell ممكن تعمل كثير من ال cytokine", "tokens": [3555, 28814, 2304, 41361, 8315, 6055, 5016, 16572, 4117, 8717, 19913, 10943, 21542, 1829, 2407, 7649, 9307, 4724, 995, 14851, 9778, 3215, 10943, 29538, 2423, 39184, 40248, 453, 533, 23032, 1829, 3555, 19446, 39896, 33962, 15040, 25528, 13672, 7578, 3714, 43020, 6055, 5172, 2288, 11622, 1211, 8315, 13672, 7578, 31439, 40248, 453, 533, 294, 257, 50080, 9060, 23032, 3555, 3615, 995, 8978, 16490, 15040, 25528, 2212, 2815, 3714, 43020, 6055, 25957, 1211, 9122, 12984, 13546, 9154, 2423, 40248, 453, 533], "avg_logprob": -0.3844521663807057, "compression_ratio": 1.5240641711229947, "no_speech_prob": 0.0, "words": [{"start": 699.82, "end": 700.36, "word": "بإمكاننا", "probability": 0.731884765625}, {"start": 700.36, "end": 701.28, "word": " تحريك", "probability": 0.47735595703125}, {"start": 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{"start": 710.06, "end": 711.22, "word": " تفرزلنا", "probability": 0.8811848958333334}, {"start": 711.22, "end": 711.86, "word": " اللى", "probability": 0.925537109375}, {"start": 711.86, "end": 712.24, "word": " هو", "probability": 0.841796875}, {"start": 712.24, "end": 714.94, "word": " cytokine", "probability": 0.9475911458333334}, {"start": 714.94, "end": 715.5, "word": " in", "probability": 0.6435546875}, {"start": 715.5, "end": 715.7, "word": " a", "probability": 0.923828125}, {"start": 715.7, "end": 716.14, "word": " cascade", "probability": 0.93115234375}, {"start": 716.14, "end": 716.76, "word": " manner", "probability": 0.71728515625}, {"start": 716.76, "end": 719.82, "word": " طبعا", "probability": 0.91552734375}, {"start": 719.82, "end": 719.98, "word": " في", "probability": 0.57275390625}, {"start": 719.98, "end": 720.5, "word": " خلايا", "probability": 0.9405924479166666}, {"start": 720.5, "end": 720.82, "word": " given", "probability": 0.296875}, {"start": 720.82, "end": 721.12, "word": " cell", "probability": 0.9375}, {"start": 721.12, "end": 721.58, "word": " ممكن", "probability": 0.6826171875}, {"start": 721.58, "end": 721.7, "word": " تعمل", "probability": 0.6402994791666666}, {"start": 721.7, "end": 722.04, "word": " كثير", "probability": 0.6966959635416666}, {"start": 722.04, "end": 722.14, "word": " من", "probability": 0.625}, {"start": 722.14, "end": 722.16, "word": " ال", "probability": 0.3125}, {"start": 722.16, "end": 723.18, "word": " cytokine", "probability": 0.8583984375}], "temperature": 1.0}, {"id": 29, "seek": 74925, "start": 725.57, "end": 749.25, "text": "One cell may be the target of many cytokines طبيعي جدا خلية واحدة ممكن يكون اكتر من ال cytokine بيشتغل عليها وكل واحد برتبط ال receptor على سطح هذه الخلية كمان one cytokine ممكن يأثر على تأثير أو يأثر على اللي هو فعلية ال other cytokine", "tokens": [15426, 2815, 815, 312, 264, 3779, 295, 867, 40248, 453, 1652, 23032, 21292, 3615, 1829, 10874, 28259, 16490, 1211, 10632, 36764, 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"end": 747.31, "word": " هو", "probability": 0.97314453125}, {"start": 747.31, "end": 748.01, "word": " فعلية", "probability": 0.776123046875}, {"start": 748.01, "end": 748.21, "word": " ال", "probability": 0.89013671875}, {"start": 748.21, "end": 748.53, "word": " other", "probability": 0.79638671875}, {"start": 748.53, "end": 749.25, "word": " cytokine", "probability": 0.9698893229166666}], "temperature": 1.0}, {"id": 30, "seek": 77132, "start": 750.7, "end": 771.32, "text": "وبالتالي ممكن يعني يضيف له function ماشي أو يضيف يقوي ال function يعني additive or synergistic or antagonistic interaction of multiple cytokines produced during typical immune response", "tokens": [37746, 6027, 2655, 6027, 1829, 3714, 43020, 37495, 22653, 7251, 11242, 33911, 46740, 2445, 3714, 33599, 1829, 34051, 7251, 11242, 33911, 7251, 4587, 45865, 2423, 2445, 37495, 22653, 45558, 420, 33781, 70, 3142, 420, 32590, 3142, 9285, 295, 3866, 40248, 453, 1652, 7126, 1830, 7476, 11992, 4134], "avg_logprob": 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يعني", "tokens": [9566, 3555, 11331, 26108, 3660, 38637, 6027, 12984, 3660, 13672, 1829, 31439, 2423, 4771, 453, 533, 34051, 2423, 40248, 453, 533, 300, 3345, 32665, 31078, 975, 3963, 12174, 12610, 8315, 436, 366, 2673, 2295, 19046, 3364, 4771, 310, 19892, 40248, 453, 533, 436, 362, 5285, 281, 4688, 34799, 293, 436, 362, 1014, 6913, 8310, 293, 436, 366, 27073, 5049, 284, 37495, 22653], "avg_logprob": -0.22941467638999696, "compression_ratio": 1.4093264248704662, "no_speech_prob": 0.0, "words": [{"start": 1565.44, "end": 1565.76, "word": "طب", "probability": 0.3878173828125}, {"start": 1565.76, "end": 1566.86, "word": " حاجة", "probability": 0.91064453125}, {"start": 1566.86, "end": 1567.4, "word": " ثالثة", "probability": 0.9259033203125}, {"start": 1567.4, "end": 1567.64, "word": " اللي", "probability": 0.843017578125}, {"start": 1567.64, "end": 1567.74, "word": " هو", "probability": 0.95947265625}, {"start": 1567.74, "end": 1567.9, "word": " ال", "probability": 0.859375}, {"start": 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monocyte نيوتروفيل الـ monocyte و ال limphocyte example على ال chemokine includes IL-8 and this is produced by monocytes و mobilize", "tokens": [3555, 1829, 7435, 11622, 14407, 4724, 4587, 2407, 3660, 337, 3683, 32665, 31078, 975, 2090, 3324, 23032, 3555, 3615, 995, 5551, 16095, 11296, 2423, 39184, 1108, 31078, 975, 8717, 1829, 35473, 32887, 5172, 26895, 2423, 39184, 1108, 31078, 975, 4032, 2423, 2364, 950, 31078, 975, 1365, 15844, 2423, 4771, 453, 533, 5974, 40413, 12, 23, 293, 341, 307, 7126, 538, 1108, 905, 43673, 4032, 48637], "avg_logprob": -0.4441287797508818, "compression_ratio": 1.281767955801105, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 1591.51, "end": 1592.31, "word": "بيجزوا", "probability": 0.574365234375}, {"start": 1592.31, "end": 1592.91, "word": " بقوة", "probability": 0.9830322265625}, {"start": 1592.91, "end": 1593.17, "word": " for", "probability": 0.404052734375}, {"start": 1593.17, "end": 1593.59, "word": " various", "probability": 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limphocyte", "probability": 0.682464599609375}, {"start": 1598.97, "end": 1600.39, "word": " example", "probability": 0.239990234375}, {"start": 1600.39, "end": 1600.71, "word": " على", "probability": 0.69873046875}, {"start": 1600.71, "end": 1600.87, "word": " ال", "probability": 0.7470703125}, {"start": 1600.87, "end": 1601.43, "word": " chemokine", "probability": 0.6762491861979166}, {"start": 1601.43, "end": 1602.25, "word": " includes", "probability": 0.6953125}, {"start": 1602.25, "end": 1603.21, "word": " IL", "probability": 0.47216796875}, {"start": 1603.21, "end": 1604.31, "word": "-8", "probability": 0.8818359375}, {"start": 1604.31, "end": 1606.05, "word": " and", "probability": 0.55029296875}, {"start": 1606.05, "end": 1606.29, "word": " this", "probability": 0.93359375}, {"start": 1606.29, "end": 1606.71, "word": " is", "probability": 0.9189453125}, {"start": 1606.71, "end": 1608.09, "word": " produced", "probability": 0.89794921875}, {"start": 1608.09, "end": 1608.35, 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1912.09, "text": "العامل على ذلك IL-2 ريسيبتور هو الـ Intermediate Affinity Diameter بيتاجامع الـ Chain أو يمكن أن يكون موصولا في High Affinity Diameter يوم يكون عامل الـ Chain بيكون Low Affinity", "tokens": [6027, 3615, 10943, 1211, 15844, 29910, 23275, 40413, 12, 17, 12602, 1829, 3794, 1829, 3555, 2655, 13063, 31439, 2423, 39184, 5751, 3130, 473, 12840, 11540, 21706, 2398, 4724, 36081, 26108, 10943, 3615, 2423, 39184, 33252, 34051, 7251, 43020, 14739, 7251, 30544, 3714, 2407, 9381, 12610, 995, 8978, 5229, 12840, 11540, 21706, 2398, 7251, 20498, 7251, 30544, 6225, 10943, 1211, 2423, 39184, 33252, 4724, 1829, 30544, 17078, 12840, 11540], "avg_logprob": -0.6988224914108497, "compression_ratio": 1.4566473988439306, "no_speech_prob": 2.384185791015625e-07, "words": [{"start": 1894.61, "end": 1895.23, "word": "العامل", "probability": 0.38543701171875}, {"start": 1895.23, "end": 1895.41, "word": " على", "probability": 0.6259765625}, {"start": 1895.41, "end": 1895.77, "word": " ذلك", 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cytokine أثناء الـ inflammatory responses", "tokens": [44510, 2655, 30731, 2423, 7578, 4032, 11242, 3615, 16490, 9566, 9566, 32767, 1863, 3615, 4032, 19913, 16373, 5172, 2423, 39184, 40248, 453, 533, 5551, 12984, 1863, 16606, 2423, 39184, 38199, 13019], "avg_logprob": -0.2827148484066129, "compression_ratio": 1.0776699029126213, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1940.66, "end": 1941.16, "word": "بدت", "probability": 0.669921875}, {"start": 1941.16, "end": 1941.54, "word": " إلى", "probability": 0.57373046875}, {"start": 1941.54, "end": 1948.26, "word": " الى", "probability": 0.265380859375}, {"start": 1948.26, "end": 1949.66, "word": " وضع", "probability": 0.7156575520833334}, {"start": 1949.66, "end": 1950.96, "word": " خطط", "probability": 0.9850260416666666}, {"start": 1950.96, "end": 1952.72, "word": " لمنع", "probability": 0.8282877604166666}, {"start": 1952.72, "end": 1954.14, "word": " وظائف", "probability": 0.8900146484375}, {"start": 1954.14, "end": 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"probability": 0.988525390625}, {"start": 1977.46, "end": 1978.08, "word": " او", "probability": 0.886474609375}, {"start": 1978.08, "end": 1978.4, "word": " عمل", "probability": 0.98876953125}, {"start": 1978.4, "end": 1978.72, "word": " بعض", "probability": 0.98046875}, {"start": 1978.72, "end": 1978.82, "word": " ال", "probability": 0.95947265625}, {"start": 1978.82, "end": 1979.5, "word": " cytokine", "probability": 0.9044596354166666}, {"start": 1979.5, "end": 1980.42, "word": " اثناء", "probability": 0.874267578125}, {"start": 1980.42, "end": 1980.9, "word": " حالات", "probability": 0.9853515625}, {"start": 1980.9, "end": 1981.52, "word": " مرضية", "probability": 0.9913736979166666}, {"start": 1981.52, "end": 1982.12, "word": " زي", "probability": 0.956787109375}, {"start": 1982.12, "end": 1982.68, "word": " Rheumatoid", "probability": 0.8974609375}, {"start": 1982.68, "end": 1983.28, "word": " Arthritis", "probability": 0.9544270833333334}, {"start": 1983.28, "end": 1983.62, 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a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc.srt new file mode 100644 index 0000000000000000000000000000000000000000..6ec3702eec976edbe739a28f35bcca1d2be15112 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc.srt @@ -0,0 +1,2939 @@ +1 +00:00:01,970 --> 00:00:06,570 +بسم الله الرحمن الرحيم اليوم + +2 +00:00:06,570 --> 00:00:10,790 +إن شاء الله احنا نحكي في محاضرة جديدة بعنوان + +3 +00:00:10,790 --> 00:00:16,750 +transplantation what's going on what are the + +4 +00:00:16,750 --> 00:00:26,250 +mechanisms involved what are the new mechanisms + +5 +00:00:26,250 --> 00:00:31,590 +involved in rejection هنحكي على application of + +6 +00:00:31,590 --> 00:00:34,230 +transplantation هنحكي على hemopoietic stem cell + +7 +00:00:34,230 --> 00:00:39,050 +transplantation ونشوف المصطلحات medical terms + +8 +00:00:39,050 --> 00:00:44,230 +associated with transplantation بشكل عام كنا بنعرف + +9 +00:00:44,230 --> 00:00:47,490 +أنه في على الـ tissue و الـ organs of the body + +10 +00:00:47,490 --> 00:00:52,950 +أنتجين أيضا في على الـ white blood cell الـ MHC + +11 +00:00:52,950 --> 00:00:57,950 +أنتجين these antigens are highly polymorphic among + +12 +00:00:57,950 --> 00:01:01,890 +the population وبالتالي، الاتصال بين مستخدم ومستخدم + +13 +00:01:01,890 --> 00:01:02,830 +مصالح ومستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +14 +00:01:02,830 --> 00:01:03,150 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +15 +00:01:03,150 --> 00:01:07,650 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +16 +00:01:07,650 --> 00:01:09,770 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +17 +00:01:09,770 --> 00:01:10,530 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +18 +00:01:10,530 --> 00:01:14,110 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +19 +00:01:14,110 --> 00:01:17,870 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +20 +00:01:17,870 --> 00:01:22,750 +مستخدم مستخ + +21 +00:01:23,190 --> 00:01:28,590 +هذه العملية من عملية transplantation more common + +22 +00:01:28,590 --> 00:01:31,610 +place يعني very common place بمعنى أن صارت في + +23 +00:01:31,610 --> 00:01:38,330 +عمليات الـ transplantation are common as possible + +24 +00:01:38,330 --> 00:01:43,010 +الفيجور + +25 +00:01:43,010 --> 00:01:46,470 +هذا اللي بيبين أن الـ relationship between donor + +26 +00:01:46,470 --> 00:01:47,190 +and recipient + +27 +00:01:52,350 --> 00:01:56,990 +زي ما أنتم شايفين أنواع الـ graft الأولاني هو + +28 +00:01:56,990 --> 00:02:02,630 +عبارة عن autograft الإنسان ممكن ياخد من أي مكان في + +29 +00:02:02,630 --> 00:02:08,790 +جسمه لجسمه في مكان آخر استخداماتها كثيرة في الحروق + +30 +00:02:08,790 --> 00:02:14,810 +و بيسموه الـ autograft و في الـ هذا النوع من الـ + +31 +00:02:14,810 --> 00:02:20,110 +autograft يعني is not rejected it's taken الموضوع + +32 +00:02:20,110 --> 00:02:29,490 +الثاني من الـ drafting هو بين individual أو + +33 +00:02:29,490 --> 00:02:33,250 +identical twins they have زي ما أنتم شايفين the + +34 +00:02:33,250 --> 00:02:39,310 +same MSC molecule وبالتالي أيضا الـ graft is not + +35 +00:02:39,310 --> 00:02:43,880 +rejected between these individual هو الثالث من + +36 +00:02:43,880 --> 00:02:48,700 +الـGrafting هو الـGrafting بين مجموعات مختلفة من + +37 +00:02:48,700 --> 00:02:53,300 +نفس المجموعات وبالتالي هم لديهم موليكيول MSC + +38 +00:02:53,300 --> 00:02:57,140 +مختلفة هذا A وهذا B وبالتالي يسمون الـGraft في هذه + +39 +00:02:57,140 --> 00:03:03,580 +الحالة Allograft وأنتهى الـRejection أو بين + +40 +00:03:03,580 --> 00:03:09,710 +مجموعات مختلفة من مجموعات مختلفة زي ما أنتم شايفين + +41 +00:03:09,710 --> 00:03:14,830 +هي الفار والأجنب and this is called xenograft and + +42 +00:03:14,830 --> 00:03:19,870 +it's also they have different antigenic molecule + +43 +00:03:19,870 --> 00:03:26,230 +هي MCX و MCA وبالتالي the graft is also it's + +44 +00:03:26,230 --> 00:03:30,590 +called xenograft and rejected هذه هي أنواع الـ + +45 +00:03:30,590 --> 00:03:36,090 +grafting هذا هو autograft graft of transplant from + +46 +00:03:36,090 --> 00:03:39,450 +one area to another of the same individual زي ما + +47 +00:03:39,450 --> 00:03:47,550 +قلنا لكم ممكن في حالات الحروق في حالات الـ on the + +48 +00:03:47,550 --> 00:03:52,330 +same individual ممكن الـ graft يتاخد وأن الـ graft + +49 +00:03:52,330 --> 00:03:56,770 +في هذه الحالة بيعتبر as autologous graft or self + +50 +00:03:56,770 --> 00:04:01,210 +and the immune response will not induced against + +51 +00:04:01,210 --> 00:04:04,850 +it النوع الثاني اللي هو isograft زي ما قلنا بين + +52 +00:04:04,850 --> 00:04:12,430 +between isogenic or genetically identical twins + +53 +00:04:12,430 --> 00:04:20,130 +or individual و it's also not rejected اعتبرها + +54 +00:04:20,130 --> 00:04:27,440 +homozygotic or identical at once وهي طبعا في هذا + +55 +00:04:27,440 --> 00:04:34,180 +الحالة the graft is described as histocompatible + +56 +00:04:34,180 --> 00:04:39,800 +graft and individual النوع الثالث اللي هو allograft + +57 +00:04:39,800 --> 00:04:41,920 +اللي هو between different individual of the same + +58 +00:04:41,920 --> 00:04:46,100 +species they have different MSC molecule because + +59 +00:04:46,100 --> 00:04:50,320 +of the MSC is polymorphic among individual طبعا في + +60 +00:04:50,320 --> 00:04:51,340 +هذا الحالة بيكون + +61 +00:04:58,680 --> 00:05:14,740 +الانتشارات الانتشارات الانتشارات الانتشارات + +62 +00:05:14,740 --> 00:05:19,340 +الانتشارات الانتشارات الانتشارات الانتشارات + +63 +00:05:19,340 --> 00:05:20,060 +الانتشارات الانتشارات الانتشارات الانتشارات + +64 +00:05:20,060 --> 00:05:20,080 +الانتشارات الانتشارات الانتشارات الانتشارات + +65 +00:05:20,080 --> 00:05:20,100 +الانتشارات الانتشارات الانتشارات الانتشارات + +66 +00:05:20,100 --> 00:05:20,420 +الانتشارات الان + +67 +00:05:24,520 --> 00:05:27,780 +الألوغرافت عادةً is rejected within the first two + +68 +00:05:27,780 --> 00:05:33,000 +weeks و بيسموها الـ first set rejection في حاجة + +69 +00:05:33,000 --> 00:05:38,400 +اسمها second set rejection بتشير بعد ستة إلى ثمان + +70 +00:05:38,400 --> 00:05:43,620 +أيام وهذا بيكون due to specific immunological + +71 +00:05:43,620 --> 00:05:47,360 +memory cell for the antigen expressed by the graft + +72 +00:05:47,360 --> 00:05:51,460 +يعني شافت الـ antigen جامل هيك و اتنشطت أو رسلت + +73 +00:05:51,460 --> 00:05:54,910 +عاملة immune response وتولد عن الـ immune response + +74 +00:05:54,910 --> 00:06:00,170 +memory cell لما عملنا drafting بيصير فيه إيش الـ + +75 +00:06:00,170 --> 00:06:06,890 +memory cell well rejected CD4 T cell play crucial + +76 +00:06:06,890 --> 00:06:10,770 +role in rejection فيه نفس الحكاية this can be + +77 +00:06:10,770 --> 00:06:15,030 +proved by transferring these cells كي بنأكد أن CD4 + +78 +00:06:15,030 --> 00:06:19,100 +T cell هي الأساس في الموضوع هي هذه الخلايا لو جينا + +79 +00:06:19,100 --> 00:06:28,360 +و حقنها في ايه ايش؟ حقنها في identical twins or + +80 +00:06:28,360 --> 00:06:33,340 +syngenic recipient وبعد فترة اجينا عملنا له + +81 +00:06:33,340 --> 00:06:39,260 +grafting as the same graft اللي كان معمول في + +82 +00:06:39,260 --> 00:06:44,220 +الانسان اللي صار عنده rejection هلاجي أن الـ + +83 +00:06:44,220 --> 00:06:48,430 +rejection second recipient also with the same تقال + +84 +00:06:48,430 --> 00:06:54,130 +له graft هيعمل second rejection أو set rejection + +85 +00:06:54,130 --> 00:06:57,110 +إيش يعني second set يعني هيصير فيه rejection + +86 +00:06:57,110 --> 00:07:02,910 +earlier than the first rejection أعيدها ثاني مرة + +87 +00:07:02,910 --> 00:07:08,370 +ثانية واحد صار في عنده ايش rejection first set + +88 +00:07:08,370 --> 00:07:15,490 +rejection بعد أسبوعين سبب في ذلك نشاط للـ CD4 CD4 هي + +89 +00:07:15,490 --> 00:07:20,490 +الأساس كيف أثبت أن CD4 هي الأساس لأنه لو أخدناها + +90 +00:07:20,490 --> 00:07:26,670 +و أحقنها في single individual يعني identical twins + +91 +00:07:26,670 --> 00:07:34,430 +و روحنا بعد ما نحقنها روحنا أدينا الـ twins هذا + +92 +00:07:34,430 --> 00:07:38,730 +أديناه نفس الـ CD4 عملنا له drafting from the same + +93 +00:07:38,730 --> 00:07:42,850 +draft اللي كان في الأول هتلاقي أن صار في second + +94 +00:07:42,850 --> 00:07:48,990 +seed rejection عند الـ individual ليش؟ طبعا لأن الـ + +95 +00:07:48,990 --> 00:07:52,990 +CD4 موجودة بالفعل وبالتالي وكأننا بنعمل ايه؟ + +96 +00:07:52,990 --> 00:07:58,370 +secondary immune response هيكون easier و faster + +97 +00:07:58,370 --> 00:08:04,350 +وهيكون في rejection أكتر دلوقتي أن هذه الخلايا + +98 +00:08:04,350 --> 00:08:11,090 +اتنشطت وهي اللي عملت الـ rejection أي شخص يستطيع + +99 +00:08:11,090 --> 00:08:15,270 +أيضا أن يشتغل في الانتجارات التشوية في الانتجارات + +100 +00:08:15,270 --> 00:08:19,890 +التشوية في الانتجارات التشوية في الانتجارات + +101 +00:08:19,890 --> 00:08:32,890 +التشوية في الانتجارات التشوية في الانتجارات + +102 +00:08:32,890 --> 00:08:36,490 +التشوية وطبعا هذه الخلايا دليل على أن في دي + +103 +00:08:36,490 --> 00:08:42,130 +دلوقتي hypersensitivity of CD4 و CD8 اشتغلوا و + +104 +00:08:42,130 --> 00:08:46,330 +هم اللي عملوا الـ rejection + +105 +00:08:50,240 --> 00:08:54,580 +animal that lack T lymphocyte هذا دليل آخر على أن + +106 +00:08:54,580 --> 00:08:58,540 +T cell هي الأساس الناس اللي ما عندهاش T lymphocyte + +107 +00:08:58,540 --> 00:09:02,560 +will not reject allograft or even xenograft + +108 +00:09:02,560 --> 00:09:08,000 +process of rejection slow down وقت ايش قالوا إذا + +109 +00:09:08,000 --> 00:09:10,880 +كان استخدمنا منه suppressive drug + +110 +00:09:13,680 --> 00:09:16,620 +Category of allograft rejection قالوا في عندنا ثلاث + +111 +00:09:16,620 --> 00:09:19,860 +أنواع من الـ rejection hyper acute و acute و قريبا + +112 +00:09:19,860 --> 00:09:23,820 +و chronic طبعا الـ hyper acute زي ما أنتم شايفين + +113 +00:09:23,820 --> 00:09:27,680 +it occurs within few minutes to few hours of + +114 +00:09:27,680 --> 00:09:33,120 +transplantation والسبب في ذلك أن transplanted is + +115 +00:09:33,120 --> 00:09:37,420 +destroyed by preformed antibody لمين؟ to + +116 +00:09:37,420 --> 00:09:40,980 +incompatible MSC antigen في already موجودة + +117 +00:09:40,980 --> 00:09:46,880 +antibody جاهزة من ايش بتعمل؟ بتعمل ايش؟ بتشتغل ضد + +118 +00:09:46,880 --> 00:09:50,960 +الايش؟ لموليكول اللي دخل from the donor or + +119 +00:09:50,960 --> 00:09:53,560 +even sometime to carbohydrate expressed on + +120 +00:09:53,560 --> 00:09:57,920 +transplanted tissue وبالتالي على طول بيصير فيه ايش + +121 +00:09:57,920 --> 00:10:02,500 +rejection طبعا أن الـ antibody هذي جاية يالو it can + +122 +00:10:02,500 --> 00:10:06,400 +be present from or results from previous + +123 +00:10:06,400 --> 00:10:11,350 +transplantation أو blood transfusion أو Multiple + +124 +00:10:11,350 --> 00:10:16,190 +Pregnancy تلاقي فيه كل مرة بيتكون Antibody For + +125 +00:10:16,190 --> 00:10:18,790 +Foreign Antigen وبالتالي بيصير فيه Multiple + +126 +00:10:18,790 --> 00:10:26,130 +Antibody عند الست الحامل وهذه ممكن لو عملنا لها + +127 +00:10:26,130 --> 00:10:30,090 +transplantation تعمل rejection طب عند هذه + +128 +00:10:30,090 --> 00:10:33,170 +الانتبادي antibody are called cytotoxic antibody + +129 +00:10:33,170 --> 00:10:37,050 +and that can activate complement على المطرح ومش بس + +130 +00:10:37,050 --> 00:10:40,760 +تعمل platelet activation يعني فيه جلطة و + +131 +00:10:40,760 --> 00:10:44,320 +Interstitial Hemorrhage in transplanted tissue + +132 +00:10:44,320 --> 00:10:49,520 +which decreased blood flow in it يعني شو اللي + +133 +00:10:49,520 --> 00:10:52,660 +بيصير بيصير جلطة وبعد الجلطة بيصير تفحق وبتصير + +134 +00:10:52,660 --> 00:10:58,420 +نزير وبالإضافة لإنه في distraction للإيش لل + +135 +00:10:58,420 --> 00:11:04,640 +transplanted tissue المحصلة تدر كلام infraction or + +136 +00:11:04,640 --> 00:11:07,720 +tissue damage وبالتالي بيصير في decrease in blood + +137 +00:11:07,720 --> 00:11:12,020 +flow في هذه المنطقة و كما تشاهدون، الـ Cell + +138 +00:11:12,020 --> 00:11:14,320 +-mediated immunity لها ليس لها أي دور في الـ + +139 +00:11:14,320 --> 00:11:18,200 +Hyperacute Rejection كلها اللي بيحكي عبارة عن + +140 +00:11:18,200 --> 00:11:22,420 +Antibody Sitotoxic Antibody Only Present to the + +141 +00:11:22,420 --> 00:11:28,340 +transplanted tissue الـ + +142 +00:11:28,340 --> 00:11:29,420 +Acute Rejection + +143 +00:11:33,290 --> 00:11:37,410 +تحدث في مستخدم لم يكن قبل ذلك يكون مرتبط + +144 +00:11:37,410 --> 00:11:41,130 +بالترانسبلانت ما شافش الترانسبلانت قبل هيك وبتالي + +145 +00:11:41,130 --> 00:11:44,950 +هو ليس مرتبط بذلك شو اللي بيصير؟ قالوا تيلينفوسييت + +146 +00:11:44,950 --> 00:11:48,890 +بتتنشط if the rejection is due to T cell + +147 +00:11:48,890 --> 00:11:53,210 +activation و it can be activation either by direct + +148 +00:11:53,210 --> 00:11:57,230 +recognition to the alloantigen or indirectly نحن + +149 +00:11:57,230 --> 00:12:02,100 +شوفوا transplant tissue is mismatch وانتقر انتقر + +150 +00:12:02,100 --> 00:12:03,120 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +151 +00:12:03,120 --> 00:12:08,440 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +152 +00:12:08,440 --> 00:12:11,160 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +153 +00:12:11,160 --> 00:12:12,000 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +154 +00:12:12,000 --> 00:12:12,280 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +155 +00:12:12,280 --> 00:12:14,540 +انتقر انتقر انتقر انتقر انتقر Cell-mediated + +156 +00:12:14,540 --> 00:12:17,900 +immunities manifested by intense infiltration of + +157 +00:12:17,900 --> 00:12:21,600 +lymphocyte and macrophage طبعا هنحكي على cell + +158 +00:12:21,600 --> 00:12:24,580 +-mediated immunity طبعا فهنا نشط فيها ال + +159 +00:12:24,580 --> 00:12:28,800 +macrophage مين نشطها ال T-lymphocytes بعد ما تقدم + +160 +00:12:28,800 --> 00:12:34,320 +إليها ال antigen and it can be recognized by T + +161 +00:12:34,320 --> 00:12:37,560 +-lymphocytes easily يوم يتقدم by antigen + +162 +00:12:37,560 --> 00:12:44,610 +presenting cell فبتنشط ال macrophage وبالتالي تصبح + +163 +00:12:44,610 --> 00:12:52,310 +هناك destruction لا تشهر كما تشاهدون في الاخيرة + +164 +00:12:52,310 --> 00:12:57,650 +الانتجار المينو سابرسانترابي أو مينو سابرسانترابي + +165 +00:12:57,650 --> 00:13:06,710 +يمكن أن يتأخذ الاتجار الاتجار الاتجار الاتجار + +166 +00:13:06,710 --> 00:13:09,790 +الاتجار الاتجار الاتجار الاتجار الاتجار + +167 +00:13:09,790 --> 00:13:11,090 +الاتجار الاتجار الاتجار الاتجار الاتجار + +168 +00:13:11,090 --> 00:13:15,600 +الاتجار الاتجار الاتجار بعد أشهر + +169 +00:13:15,600 --> 00:13:23,200 +طويلة و مرات سنوات طويلة لإنشاء + +170 +00:13:23,200 --> 00:13:25,520 +عملية عملية عملية عملية عملية عملية عملية عملية + +171 +00:13:25,520 --> 00:13:26,020 +عملية عملية عملية عملية عملية عملية عملية عملية + +172 +00:13:26,020 --> 00:13:29,640 +عملية عملية عملية عملية عملية عملية + +173 +00:13:29,640 --> 00:13:32,380 +عملية عملية عملية عملية عملية عملية عملية عملية + +174 +00:13:32,380 --> 00:13:42,120 +عملية عملية عملية عمل + +175 +00:13:42,270 --> 00:13:45,750 +is characterized by slow progressive loss of + +176 +00:13:45,750 --> 00:13:49,070 +function يعني في الآخر بيصير فيه infarct in the + +177 +00:13:49,070 --> 00:13:54,630 +organ role + +178 +00:13:54,630 --> 00:13:57,750 +of MRC molecule انقل له graft reduction خلينا + +179 +00:13:57,750 --> 00:14:06,570 +نتعرف شوية على الميكانيزمات قالوا شو + +180 +00:14:06,570 --> 00:14:09,070 +بيبصير؟ قالوا transplantation + +181 +00:14:10,990 --> 00:14:16,150 +انتجن أو MHC antigen بيصير لها rejection لأن الجهاز + +182 +00:14:16,150 --> 00:14:21,090 +اللي منها اتنشط و الـ MHC molecule has been + +183 +00:14:21,090 --> 00:14:27,910 +recognized and these are cell surface proteins و + +184 +00:14:27,910 --> 00:14:31,570 +كنا بنعرف ان كل خلايا جسم الإنسان على سطحها MHC + +185 +00:14:31,570 --> 00:14:35,710 +class 1 molecule بينما MHC class 2 موجودة على + +186 +00:14:35,710 --> 00:14:39,140 +الـ professional antigen presenting cell وبالتالي + +187 +00:14:39,140 --> 00:14:43,260 +الـ immune response is directed will be directed + +188 +00:14:43,260 --> 00:14:49,240 +predominantly لمين؟ للـ MSG class 1 molecule واللي + +189 +00:14:49,240 --> 00:14:52,220 +موجودة على كل خلايا جسم الإنسان بما فيها ال + +190 +00:14:52,220 --> 00:15:01,230 +grafted tissue الفرن MSG molecule activate عدد هائل + +191 +00:15:01,230 --> 00:15:05,470 +من الـ T lymphocyte clone في الـ Recipient ويقدروا + +192 +00:15:05,470 --> 00:15:10,190 +عددها لـ 5% من كل الـ T lymphocyte clone الموجودة + +193 +00:15:10,190 --> 00:15:15,550 +في جسم الـ Recipient و .. ال .. طبعا ال + +194 +00:15:15,550 --> 00:15:24,050 +combination of non-self MSC molecule مع ال .. + +195 +00:15:24,050 --> 00:15:29,500 +بيبتايد اللي هو Antigenic peptide هيتفاعلوا مع الـ + +196 +00:15:29,500 --> 00:15:33,580 +TCR expressed on many different T-cell clone + +197 +00:15:33,580 --> 00:15:39,460 +بتتنشط الـ T-lymphocyte و هتفرزلنا اللي هو الـ + +198 +00:15:39,460 --> 00:15:44,800 +cytotoxic أو الـ certain cytokine can be secreted + +199 +00:15:44,800 --> 00:15:50,380 +من اللي هو CD4 T-cell وهذه بتنشطنا الـ cytotoxic T + +200 +00:15:50,380 --> 00:15:56,220 +-cell اللي هتبدأ تهاجم الـ foreign tissue mechanism + +201 +00:15:58,600 --> 00:16:01,880 +of recognition جاله فيها two mechanism of + +202 +00:16:01,880 --> 00:16:06,000 +recognition either direct or indirect اللي هو + +203 +00:16:06,000 --> 00:16:09,480 +recognition الـ direct recognition اللي هو + +204 +00:16:09,480 --> 00:16:10,660 +recognition اللي هو recognition اللي هو + +205 +00:16:10,660 --> 00:16:11,240 +recognition الـ direct recognition اللي هو + +206 +00:16:11,240 --> 00:16:12,280 +recognition الـ direct recognition اللي هو + +207 +00:16:12,280 --> 00:16:12,780 +recognition الـ direct recognition اللي هو + +208 +00:16:12,780 --> 00:16:12,980 +recognition الـ direct recognition اللي هو + +209 +00:16:12,980 --> 00:16:13,340 +recognition الـ direct recognition اللي هو + +210 +00:16:13,340 --> 00:16:17,100 +recognition الـ direct recognition اللي هو + +211 +00:16:17,100 --> 00:16:18,200 +recognition الـ direct recognition اللي هو + +212 +00:16:18,200 --> 00:16:18,360 +recognition الـ direct recognition اللي هو + +213 +00:16:18,360 --> 00:16:19,420 +recognition الـ direct recognition اللي هو + +214 +00:16:19,420 --> 00:16:19,660 +recognition اللي هو recognition اللي هو + +215 +00:16:19,660 --> 00:16:24,540 +recognition اللي + +216 +00:16:25,460 --> 00:16:28,960 +و الـ donor cell في هذه الحالة بتلعب دور كبير ك + +217 +00:16:28,960 --> 00:16:33,760 +antigen presenting cell يعني دخلت خلايا غريبة على + +218 +00:16:33,760 --> 00:16:40,340 +سطحها أمشي غريب هي نفسها اتعرفت عليها telephosite + +219 +00:16:40,340 --> 00:16:44,990 +of the host و اعتبرتها antigen presenting cell + +220 +00:16:44,990 --> 00:16:55,650 +وتعرفت على الـ foreign antigen الـ indirect بطريقة + +221 +00:16:55,650 --> 00:17:02,270 +اندرتها بطريقة + +222 +00:17:02,270 --> 00:17:05,270 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +223 +00:17:05,270 --> 00:17:06,030 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +224 +00:17:06,030 --> 00:17:06,050 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +225 +00:17:06,050 --> 00:17:09,150 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة ان + +226 +00:17:09,420 --> 00:17:16,040 +بتعمل بتاع الـ host cell يعني host cell بتاع ال + +227 +00:17:16,040 --> 00:17:23,760 +host بتتعرف على الـ donor antigen وبتاخده وبتعمله + +228 +00:17:23,760 --> 00:17:28,780 +processing وبتقدم لها الـ host cell يبقى حالتين + +229 +00:17:28,780 --> 00:17:33,680 +direct و indirect الـ direct donor cell هي نفسها + +230 +00:17:33,680 --> 00:17:37,400 +بتعتبر كـ antigen presenting cell بتقدم الـ antigen + +231 +00:17:37,400 --> 00:17:41,710 +لها الـ host اللي هو Recipient T-Lymphocytes + +232 +00:17:41,710 --> 00:17:44,110 +وبالتالي اللي بيصير فيه Recognition Direct + +233 +00:17:44,110 --> 00:17:49,730 +Recognition و Indirect انه الله الـ tissue The + +234 +00:17:49,730 --> 00:17:55,010 +grafted tissue or donor derived cellular peptide + +235 +00:17:55,010 --> 00:17:59,910 +اللي طالع من الـ peptide هي نفسها بتتعرف عليها اللي + +236 +00:17:59,910 --> 00:18:02,290 +هو host antigen presenting cell أو الـ recipient + +237 +00:18:02,290 --> 00:18:08,190 +وبتقدمها للـ T-Lymphocyte تحت الـ recipient اكتروهذه + +238 +00:18:08,190 --> 00:18:14,770 +هما الطريقتين ايه في الـ direct نفس الخلية هذا هي + +239 +00:18:14,770 --> 00:18:17,530 +donor antigen presenting cell قدمت الـ antigen + +240 +00:18:17,530 --> 00:18:22,770 +مباشرة لمن؟ لـ T lymphocyte وفي الـ indirect لأ + +241 +00:18:22,770 --> 00:18:26,090 +والله هنا الـ recipient antigen presenting cell + +242 +00:18:26,090 --> 00:18:29,410 +تعرفت على الـ antigen أخدته وعملت له processing + +243 +00:18:29,410 --> 00:18:32,590 +وقدمته لمن؟ للـ host cell + +244 +00:18:38,100 --> 00:18:44,600 +ماذا حصل بعد اكتفاش تيلينفوسيت لينج والسايتوكين + +245 +00:18:44,600 --> 00:18:49,000 +بتطلع منها في الالو جرافت ريجيكشن قالوا اكتفاش + +246 +00:18:49,000 --> 00:18:57,840 +تسيل بنشتلاللي هو Allo-specific CD4 و CD8-cell + +247 +00:18:57,840 --> 00:19:04,920 +الجمية النشط هو CD4 و CD8 تيلينفوسايت اوف اللي + +248 +00:19:04,920 --> 00:19:08,420 +هو Allo + +249 +00:19:15,430 --> 00:19:19,870 +أشهر الـ cytokine بتطلع عيلة و interferon alpha و + +250 +00:19:19,870 --> 00:19:24,690 +beta و gamma و human necrosis factor alpha و beta + +251 +00:19:24,690 --> 00:19:31,200 +وشوفوا دور كل واحد منهم، الـ IL-2 هو عبارة عن + +252 +00:19:31,200 --> 00:19:34,620 +سايتو كائن مهم in the T-cell proliferation and + +253 +00:19:34,620 --> 00:19:38,180 +differentiation، لمين بيعمل differentiation و + +254 +00:19:38,180 --> 00:19:41,920 +proliferation؟ لـ cytotoxic و لـ T-Helper cell، يعني + +255 +00:19:41,920 --> 00:19:45,400 +بتتنشط T-Helper cell اللي بتنشط الـ cytotoxic T + +256 +00:19:45,400 --> 00:19:50,620 +-lymphocytes وبالتالي كمان delayed type + +257 +00:19:50,620 --> 00:19:53,580 +hypersensitivity reaction is associated with + +258 +00:19:53,580 --> 00:19:54,440 +allergic reaction. + +259 +00:19:56,980 --> 00:20:01,480 +مية المية تهي الـ T-cell بتتنشط لأنه اتقدم اتعرفت على + +260 +00:20:01,480 --> 00:20:05,120 +أنتجين غريب وبالتالي نشطات الـ T-cell cytotoxic تهي + +261 +00:20:05,120 --> 00:20:08,840 +الـ Lymphocytes وعملت delay type of sensitivity reaction + +262 +00:20:08,840 --> 00:20:14,680 +اللي أدت إلى the graft rejection، طيب هذا بالنسبة + +263 +00:20:14,680 --> 00:20:18,480 +لـ Gamma Interferon، شو بيعمل؟ بيقولوا مهم جدا + +264 +00:20:18,480 --> 00:20:22,870 +in the activation of macrophage، وبالتالي شو بتعمل؟ جاري + +265 +00:20:22,870 --> 00:20:26,070 +المكروفيج بتهاجر، it's recruited، it's migrated + +266 +00:20:26,070 --> 00:20:30,070 +لمين؟ to the grafted area، وهناك بتعمل tissue + +267 +00:20:30,070 --> 00:20:35,750 +damage، الـ Tumor Necrosis Factor Beta، هذا عبارة عن + +268 +00:20:35,750 --> 00:20:41,450 +cytotoxic to the cells، أي cells اللي موجودة في الـ + +269 +00:20:41,450 --> 00:20:48,120 +graft، الآن الـ Interferon Alpha وBeta وTumor Necrosis + +270 +00:20:48,120 --> 00:20:52,340 +Factor Beta وTumor Necrosis Factor Alpha، هدول مش + +271 +00:20:52,340 --> 00:20:54,760 +بيعملوا بيزودوا الـ expression of MHC Class I + +272 +00:20:54,760 --> 00:20:58,860 +مليكيول، بينما الـ Gamma Interferon بتزود الـ + +273 +00:20:58,860 --> 00:21:04,840 +expression of Class II مليكيول، وين؟ على سطح الـ Host + +274 +00:21:04,840 --> 00:21:09,690 +وعلى سطح الـ Allograft، شو بتعمل بذال الـ expression + +275 +00:21:09,690 --> 00:21:14,090 +of MHC molecule؟ زاد معناته الـ effectiveness of + +276 +00:21:14,090 --> 00:21:18,050 +antigen recognition و الـ enhancement of the graft + +277 +00:21:18,050 --> 00:21:22,370 +rejection will be increased، طبعا تعتمد على الـ + +278 +00:21:22,370 --> 00:21:25,150 +micro environment في الـ peripheral lymphoid organs، + +279 +00:21:25,150 --> 00:21:31,170 +يعني الـ CD4 helper، CD4 T cell can differentiate + +280 +00:21:31,170 --> 00:21:36,350 +into different types of effector cell، وطبعا تدينا + +281 +00:21:36,350 --> 00:21:41,710 +different types of immune responses، فتشوفوا إيش + +282 +00:21:41,710 --> 00:21:47,110 +بيصير كانوا في وجود الـ IL-12 اللي بتتنشط دي الـ T-cell + +283 +00:21:47,110 --> 00:21:52,970 +وهذه حصلتها إفراز Gamma Interferon اللي بتنشط انها + +284 +00:21:52,970 --> 00:21:57,790 +Macrophage وبتكون الـ delayed type hypersensitivity + +285 +00:21:57,790 --> 00:22:04,940 +وفي وجود الـ IL-4 دي الـ T-cell اللي بتتنشط وبتطلع الـ IL + +286 +00:22:04,940 --> 00:22:11,060 +-5 اللي بنشط الـ Eosinophilic يعني population وبيعمل + +287 +00:22:11,060 --> 00:22:15,560 +rejection، وفي وجود الـ Transforming Growth Factor + +288 +00:22:15,560 --> 00:22:24,240 +Beta، IL-6 و IL-23 هم اللي بيطلعوا قالوا الـ T-Helper 17 + +289 +00:22:24,240 --> 00:22:29,400 +هي اللي بتتنشط و can activate neutrophilic + +290 +00:22:29,400 --> 00:22:32,900 +rejection، أما في وجود الـ Transforming Growth + +291 +00:22:32,900 --> 00:22:40,620 +Factor Beta لحاله، T-reg هي اللي بتتنشط وبتعمل + +292 +00:22:40,620 --> 00:22:43,600 +انهيبشن لكل الـ immune response activity، وبالتالي + +293 +00:22:43,600 --> 00:22:49,320 +بيصير فيه promotion للـ Allograft acceptance by + +294 +00:22:49,320 --> 00:22:52,600 +multiple mechanism، مش rejection، بتعمل Inhibition + +295 +00:22:52,600 --> 00:22:56,420 +acceptance، يبقى فيه different Inhibition، different + +296 +00:22:56,420 --> 00:23:00,420 +immune response بتصير according to the different + +297 +00:23:00,420 --> 00:23:07,150 +environment، Presence في منطقة الـ Host الـ rejection و + +298 +00:23:07,150 --> 00:23:14,150 +كما تشاهدون نفس الـ Figure التي تواحقناها، IL 12 + +299 +00:23:14,150 --> 00:23:21,090 +نشطت لنا، IL 12 نشطت لنا الـ T-cell اللي طلعت Gamma + +300 +00:23:21,090 --> 00:23:26,270 +Interferon، نشطت الـ Macrophage، IL 4 في وجود IL 4 الـ T-cell + +301 +00:23:26,270 --> 00:23:27,970 +نشطت وطلعت IL 5 + +302 +00:23:36,530 --> 00:23:40,830 +بتنشط T-Helper 17 بتطلع IL 17 وبيعمل + +303 +00:23:40,830 --> 00:23:47,270 +Neutrophilic Rejection، وتنشط + +304 +00:23:47,270 --> 00:23:48,570 +T-Helper 13، تنشط T-Helper 13، تنشط T-Helper 13، تنشط + +305 +00:23:48,570 --> 00:23:50,250 +T-Helper 13، تنشط T-Helper 13، تنشط T-Helper 13، تنشط + +306 +00:23:50,250 --> 00:23:52,210 +T-Helper 13، تنشط T-Helper 13، تنشط T-Helper 13، تنشط + +307 +00:23:52,210 --> 00:23:52,670 +T-Helper 13، تنشط T-Helper 13، تنشط T-Helper 13، تنشط + +308 +00:23:52,670 --> 00:23:57,570 +T-Helper 13، تنشط T-Helper 13، تنشط T-Helper 13، تنشط + +309 +00:24:01,280 --> 00:24:09,100 +ما هي الفحوصات التي تجرى لـ Tissue Typing؟ يتعرف + +310 +00:24:09,100 --> 00:24:13,180 +على الـ MHC molecule على سطح الـ Donor مجموعة مقاومة + +311 +00:24:13,180 --> 00:24:17,760 +أو ما يسمى بالـ Cross-matching، هي تفعلها لتخلص من + +312 +00:24:17,760 --> 00:24:20,620 +فرصة الـ Graft rejection، يسمون هذه الحكاية + +313 +00:24:20,620 --> 00:24:27,700 +Lymphocyte Phenotyping أو Phenotyping، Tissue Typing، تتجرى + +314 +00:24:27,700 --> 00:24:35,570 +لتحديد الـ، هذه التحديدات بتحديد درجة الفرق بين + +315 +00:24:35,570 --> 00:24:39,050 +الاثنين، الاثنين، الاثنين، الاثنين، الاثنين، الاثنين، الاثنين + +316 +00:24:39,050 --> 00:24:40,590 +اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين + +317 +00:24:40,590 --> 00:24:41,510 +اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين + +318 +00:24:41,510 --> 00:24:41,770 +اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين + +319 +00:24:41,770 --> 00:24:48,650 +اثنين، اثنين، اثنين، اثنين، اثنين، اثنين، اثنين + +320 +00:24:48,650 --> 00:24:56,550 +اثنين، اثنين، اثنين، اثنين، اثن + +321 +00:24:56,900 --> 00:25:01,580 +وتبدأ بتحديد + +322 +00:25:01,580 --> 00:25:06,800 +الـ Antigen الموجود على الخلايا، الـ Positive reaction + +323 +00:25:06,800 --> 00:25:10,880 +حيكون فيه موجود الـ HLA-A واللي ماصارش فيها reaction + +324 +00:25:10,880 --> 00:25:15,580 +حيكون فيه Negative للـ HLA-A، طبعا الـ Antisera ممكن + +325 +00:25:15,580 --> 00:25:21,250 +تجيبها من أكثر من مكان، من ضمنها الاشخاص اللي كان + +326 +00:25:21,250 --> 00:25:27,190 +لديه مرتبطات، مرتبطات كثيرة، + +327 +00:25:27,190 --> 00:25:30,870 +أو مرتبطات، أو مرتبطات، أو مرتبطات، أو مرتبطات، أو + +328 +00:25:30,870 --> 00:25:30,930 +مرتبطات، أو مرتبطات، أو مرتبطات، أو مرتبطات، أو + +329 +00:25:30,930 --> 00:25:32,110 +مرتبطات، أو مرتبطات، أو مرتبطات، أو مرتبطات، أو + +330 +00:25:32,110 --> 00:25:34,910 +مرتبطات، أو مرتبطات، أو مرتبطات، أو مرتبطات، أو + +331 +00:25:34,910 --> 00:25:38,350 +مرتبطات، أو مرتبطات، أو مرتبطات، أو مرتبطات، أو + +332 +00:25:38,350 --> 00:25:39,950 +مرتبطات، أو مرتبطات، أو مرتبطات، أو مرتبطات، + +333 +00:25:47,330 --> 00:25:51,970 +can be used for this purpose، إذا بدك إياه + +334 +00:25:51,970 --> 00:25:56,610 +automated يعني، أو بدك إياه quantitative + +335 +00:25:56,610 --> 00:26:01,870 +Lymphocyte cytotoxicity هو عبارة عن فحص ثاني أيضا + +336 +00:26:01,870 --> 00:26:05,830 +مستخدم فيه antibody specific to MHC molecule antibody + +337 +00:26:05,830 --> 00:26:12,210 +في وجود الـ complement، طبعا complement مع antibody + +338 +00:26:12,210 --> 00:26:18,760 +الـ antibody will fix the complement، وبالتالي هيعمل + +339 +00:26:18,760 --> 00:26:22,580 +damage للـ target cell which are في هذه الحالة الـ + +340 +00:26:22,580 --> 00:26:28,360 +lymphocytes، فإذا حصل فيه damage بدو يكون فيه + +341 +00:26:28,360 --> 00:26:31,340 +reaction، ماحصلش فيه damage بدو يكون فيه no reaction + +342 +00:26:31,340 --> 00:26:36,000 +ماشي؟ اللي شو اللي بيصير إن الـ lymphocyte of donor + +343 +00:26:36,000 --> 00:26:40,180 +and recipient هم اللي نفسهم بنعملهم مع panel of + +344 +00:26:40,180 --> 00:26:44,720 +antibody فيه دول اللي هو يعيش اللي هو الـ + +345 +00:26:44,720 --> 00:26:45,500 +complement + +346 +00:26:49,160 --> 00:26:53,120 +زي ما قلت الـ code كاملة ما هتحطيهاش وهتنشط لنا + +347 +00:26:53,120 --> 00:26:58,800 +اللي هو هتتنشط لأنه في وجود antibody هي بتساعد نشاط + +348 +00:26:58,800 --> 00:27:01,980 +وبتكون لها الـ memory، نقطة complex that will + +349 +00:27:01,980 --> 00:27:05,300 +damage الـ target cell، وبالتالي إذا صار damaged + +350 +00:27:05,300 --> 00:27:08,400 +المعنى تغطى، طبعا كنا نعرف إنه صار damaged ولو + +351 +00:27:08,400 --> 00:27:12,060 +ماصارش damaged نسموه، الخلايا اللي بتاخد الصبغة + +352 +00:27:12,060 --> 00:27:15,020 +بتكون حية واللي ما بتاخد الصبغة بتكون ميتة + +353 +00:27:20,200 --> 00:27:28,400 +الاسلوب الآخر أو الـ area الأخرى اللي بنفحص + +354 +00:27:28,400 --> 00:27:31,320 +فيها الـ MHC molecule هو by using molecular + +355 +00:27:31,320 --> 00:27:39,820 +technique، and PCR is، في مصر أعتقد إنه Mixed Leukocyte + +356 +00:27:39,820 --> 00:27:46,260 +reaction، ماهي اللي بيصير فيها؟ بنحط الـ leukocyte of + +357 +00:27:46,260 --> 00:27:49,600 +الـ Donor والـ Recipient مع بعض وبنعملهم culture + +358 +00:27:49,600 --> 00:27:54,920 +for several days، طبعا الـ Donor T cell respond to + +359 +00:27:54,920 --> 00:27:59,540 +الـ MHC molecule بتنشط أو expressed on the + +360 +00:27:59,540 --> 00:27:59,940 +Recipient + +361 +00:28:04,920 --> 00:28:08,400 +سيفرز الـ Cytokine وسيقوم الـ Cytokine بإدخال الـ + +362 +00:28:08,400 --> 00:28:15,060 +proliferation، القياس للـ Proliferation هو من يحدد + +363 +00:28:15,060 --> 00:28:21,460 +طبعا إذا كان فيه reaction positive أو reaction + +364 +00:28:21,460 --> 00:28:24,140 +negative، ويمكن أن يتم مجرده بسهولة من خلال تسجيل + +365 +00:28:24,140 --> 00:28:26,880 +الراديو إلى مجال التعليم + +366 +00:28:30,400 --> 00:28:34,840 +طبعا هنا حالات of Mixed Lymphocyte reaction + +367 +00:28:34,840 --> 00:28:38,060 +associated with different transplantation + +368 +00:28:38,060 --> 00:28:42,700 +situation، طبعا مجموعة مختلفة وإيش بيصير في كل حالة + +369 +00:28:43,270 --> 00:28:47,870 +وطبعا زي ما أنتم شايفين مثال الأول tissue between + +370 +00:28:47,870 --> 00:28:52,570 +identical twins، العلاقة they are syngenic، عملنا + +371 +00:28:52,570 --> 00:28:55,830 +لهم أشياء قالوا لأ no treatment for the cells + +372 +00:28:55,830 --> 00:29:00,570 +وبالتالي الـ Mixed Lymphocyte reaction will be + +373 +00:29:00,570 --> 00:29:05,290 +negative، مافيش تفاعل يعني no proliferation، ماشي + +374 +00:29:05,290 --> 00:29:09,650 +فالتاني نفس الحكاية tissue between non-related + +375 +00:29:09,650 --> 00:29:13,380 +donor and recipient، معناه لا شيء لكن فيه reaction + +376 +00:29:13,380 --> 00:29:18,600 +لماذا؟ لأنه صار فيه recognition لـ foreign MHC + +377 +00:29:18,600 --> 00:29:22,740 +molecule من خلال host أو donor cell وبالتالي صار + +378 +00:29:22,740 --> 00:29:27,940 +فيه proliferative capacity للـ tissue بين + +379 +00:29:27,940 --> 00:29:32,920 +unrelated donor and recipient شو عملوا؟ قالوا طبعا + +380 +00:29:32,920 --> 00:29:36,860 +actually is different وبالتالي بتعتبر ألوجينيك طب + +381 +00:29:36,860 --> 00:29:44,070 +إيه شو عملوا؟ قالوا donor cell عاملينها ماشي mitotic + +382 +00:29:44,070 --> 00:29:50,630 +inhibitor يعني سكتوها يعني ما بدهاش ياكيش تتنشط + +383 +00:29:50,630 --> 00:29:54,930 +طب هاش مجبوض هاش بيعني بيبقى يعني لأنه نستخدم الـ + +384 +00:29:54,930 --> 00:29:57,750 +antigen تبعها طب مين اللي بده يتنشط دلوقت؟ الـ + +385 +00:29:57,750 --> 00:30:00,670 +recipient cell هي اللي هتتنشط في هذه الحالة + +386 +00:30:00,670 --> 00:30:05,350 +فبالتالي هو one way mixed lymphocyte reaction من + +387 +00:30:05,350 --> 00:30:09,510 +اتنشط في هذه الحالة الـ donor cell أو الـ recipient + +388 +00:30:09,510 --> 00:30:16,270 +cell طبعا في الحالة الرقم 4 العكس صحيح احنا وقفنا + +389 +00:30:16,270 --> 00:30:20,290 +الـ recipient cell ونشطنا الـ donor cell + +390 +00:30:20,290 --> 00:30:23,390 +prolongation + +391 +00:30:23,390 --> 00:30:28,190 +of allograft survival can be achieved by + +392 +00:30:28,190 --> 00:30:32,790 +immunosuppressive therapy فالـ Immunosuppressive + +393 +00:30:32,790 --> 00:30:36,590 +Therapy ماذا بتعمل؟ جا لها تطور الاسم الاسم الاسم + +394 +00:30:36,590 --> 00:30:38,150 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +395 +00:30:38,150 --> 00:30:39,270 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +396 +00:30:39,270 --> 00:30:40,750 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +397 +00:30:40,750 --> 00:30:42,630 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +398 +00:30:42,630 --> 00:30:43,610 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +399 +00:30:43,610 --> 00:30:43,850 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +400 +00:30:43,850 --> 00:30:49,590 +الاسم الاسم الاسم الاسم الاسم + +401 +00:30:49,590 --> 00:30:56,990 +الاسم الاسم + +402 +00:30:56,990 --> 00:31:00,990 +جا لها عبارة عن combination of synergistic + +403 +00:31:00,990 --> 00:31:07,190 +immunosuppressive drug تنين تنين بتساعده شو + +404 +00:31:07,190 --> 00:31:09,750 +بيعملوا؟ جا لها they interfere with the immune + +405 +00:31:09,750 --> 00:31:14,550 +response mechanism زي إيش؟ زي الـ T cell activation + +406 +00:31:14,550 --> 00:31:22,750 +drug doses are lower than the induction therapy زي + +407 +00:31:22,750 --> 00:31:27,290 +أقل من اللي فوق تسمح لشركة الانتجار الاساسي لتعمل + +408 +00:31:27,290 --> 00:31:30,910 +على مستوى عالي وبالتالي تقلل الانسدانس للإنفاقات + +409 +00:31:30,910 --> 00:31:35,910 +الوارتشونيستيكية ماشي بقى في حاجة اسمها induction + +410 +00:31:35,910 --> 00:31:38,790 +therapy وفي حاجة اسمها maintenance therapy الـ + +411 +00:31:38,790 --> 00:31:41,330 +induction therapy بتبقى تجارب الـ transplantation + +412 +00:31:41,330 --> 00:31:46,870 +فترة الـ maintenance therapy two drugs or more they + +413 +00:31:46,870 --> 00:31:50,470 +are synergistic امينو سابرس الـ drug الاتنين + +414 +00:31:50,470 --> 00:31:54,800 +بيشتغلوا على التيليفوسايت بيقللوا أو بيبطؤوا هي + +415 +00:31:54,800 --> 00:32:01,620 +تخلص تجارب الإيميون وبالتالي تقلل تجارب الإنفكشن + +416 +00:32:01,620 --> 00:32:10,620 +في بعض الحالات + +417 +00:32:10,620 --> 00:32:16,440 +يتم إعطاء تجارب تجارب تجارب تجارب تجارب تجارب + +418 +00:32:16,440 --> 00:32:18,840 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +419 +00:32:18,840 --> 00:32:18,900 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +420 +00:32:18,900 --> 00:32:18,980 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +421 +00:32:18,980 --> 00:32:21,510 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب التي تستخدم + +422 +00:32:21,510 --> 00:32:25,510 +في مستوى مشابه للذلك في مستوى الـ اندوكشن ثيرابي + +423 +00:32:25,510 --> 00:32:30,830 +منها على سبيل المثال الـ كورتيكوستيرويد انتي + +424 +00:32:30,830 --> 00:32:35,610 +انفلاماتوري أي جنس أو مثال على ذلك كورتيكوستيرويد + +425 +00:32:35,610 --> 00:32:41,110 +أو بردنزولون أو مثال بردنزولون كل عبارة عن أسماء + +426 +00:32:41,110 --> 00:32:46,590 +لنفس المركب ماذا فعل الـ كورتيكوستيرويدز؟ قالوا إنه + +427 +00:32:46,590 --> 00:32:49,210 +سيقوم بتحريك الـ هوارانيمينو سابريس الـ هوارانيمينو + +428 +00:32:49,210 --> 00:32:56,290 +سابريس الـ هوارانيمينو + +429 +00:32:59,020 --> 00:33:02,340 +الـ جينات هذه بتشترك أنها تقوم بتشترك انفلاماتوري + +430 +00:33:02,340 --> 00:33:07,680 +سايتوكاين منها الـ I L 1 و 2 و 3 و 4 و 5 و 8 Human + +431 +00:33:07,680 --> 00:33:14,080 +Necrosis Factor Alpha GM CSF بنوقف الـ جينات اللي + +432 +00:33:14,080 --> 00:33:19,820 +بتعمل expression for the cytokine وبالتالي it's an + +433 +00:33:19,820 --> 00:33:22,780 +immunosuppressive + +434 +00:33:24,090 --> 00:33:26,910 +ماذا يفعل أيضًا؟ قال إن الـ كورتيكوستيرويد أيضًا + +435 +00:33:26,910 --> 00:33:30,330 +يمكن انهيبط إظهار موليكولات الـ ادهيجيا. طب وإيش + +436 +00:33:30,330 --> 00:33:33,830 +يعني لما نعمل إظهار موليكولات الـ ادهيجيا؟ قال إنه + +437 +00:33:33,830 --> 00:33:39,010 +سينهيبط تحويل الـ ليكوسيت. أين بتروح الـ ليكوسيت؟ إلى + +438 +00:33:39,010 --> 00:33:42,430 +موقع الانفكاش أو الانفلامش. وبالتالي + +439 +00:33:42,430 --> 00:33:49,470 +الـ كورتيكوستيرويد ينهيبط عملية تحويل الـ ليكوسيت. طيب + +440 +00:33:49,470 --> 00:33:52,370 +إيش كمان بتعمل؟ قال إنهم يدعموا إطلاق سلر + +441 +00:33:52,370 --> 00:33:56,540 +الاندونيكليازي. وهذا بيؤدي إلى induction of + +442 +00:33:56,540 --> 00:34:01,520 +apoptosis في الـ limphocyte والايزينوفيل يعني الـ + +443 +00:34:01,520 --> 00:34:03,940 +limphocyte والايزينوفيل اللي بدهم يعملوا immune + +444 +00:34:03,940 --> 00:34:08,580 +response بيقولوا هو سكتروا in addition they + +445 +00:34:08,580 --> 00:34:11,840 +reduced phagocytosis طب أنا فوج عملت inhibition لـ + +446 +00:34:11,840 --> 00:34:16,220 +ليكوسايت migration وبالتالي I reduced the + +447 +00:34:16,220 --> 00:34:18,560 +phagocytosis and killing by neutrophil and + +448 +00:34:18,560 --> 00:34:22,000 +macrophages and reduced expression of MSC class 2 + +449 +00:34:22,000 --> 00:34:27,320 +molecule بهذه الطريقة كورتيكوستيرويد نهيب الـ T + +450 +00:34:27,320 --> 00:34:32,180 +-cell activation و تعمل تعمل تعمل تعمل تعمل تعمل + +451 +00:34:32,180 --> 00:34:34,820 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +452 +00:34:34,820 --> 00:34:35,260 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +453 +00:34:35,260 --> 00:34:36,340 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +454 +00:34:36,340 --> 00:34:39,180 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +455 +00:34:53,710 --> 00:34:58,890 +وبعمل انهيبشين انوسينك + +456 +00:34:58,890 --> 00:35:17,130 +اسد انهيبشين + +457 +00:35:17,130 --> 00:35:22,910 +انوسينك اسد انهيبشين انهيبشين انهيبشين انهيبشين + +458 +00:35:22,910 --> 00:35:22,970 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +459 +00:35:22,970 --> 00:35:23,550 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +460 +00:35:23,550 --> 00:35:23,570 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +461 +00:35:23,570 --> 00:35:27,530 +انهيبشين انهيبشين انهيبشين of Purine Clorampucil + +462 +00:35:27,530 --> 00:35:33,650 +and cyclophosphamide الكليت DNA هذوله عبارة عن + +463 +00:35:33,650 --> 00:35:37,370 +cytotoxic drug تنين تانين وبرضه مشهورين في + +464 +00:35:37,370 --> 00:35:40,910 +الاستخدام شو بيعملوا؟ بيعملوا الكليتشن لـ DNA + +465 +00:35:40,910 --> 00:35:48,600 +وبالتالي بيتدخلوا في الـ metabolism of DNA كانت + +466 +00:35:48,600 --> 00:35:52,400 +تتطور أولاً لتعامل بالكانسر في الأساس عبارة عن + +467 +00:35:52,400 --> 00:35:57,920 +كيموثيرابي و هم أيضاً صيدوتكسيك للمفوسايد و + +468 +00:35:57,920 --> 00:36:03,320 +بيستخدمهم كميونو سبريسيب ايجانت من ما اعتبرت + +469 +00:36:03,320 --> 00:36:08,400 +ايجانت تتعامل مع صيدوتكسيكاين production و + +470 +00:36:08,400 --> 00:36:14,220 +signaling منها سايكلوسبورين و التاكرو + +471 +00:36:17,530 --> 00:36:20,410 +ماذا يفعل؟ يفعل أنه يتعامل بالـ Calcium Urine + +472 +00:36:20,410 --> 00:36:27,890 +برتبته بالـ Immunophilins بيه وهو عبارة عن family + +473 +00:36:27,890 --> 00:36:31,210 +of intracellular protein تلعب دور كبير في الـ + +474 +00:36:31,210 --> 00:36:35,490 +lymphocyte signaling pathway وبالتالي بتعمل Signal + +475 +00:36:35,490 --> 00:36:41,990 +Transduction Pathway Inhibition ماشي وإذا ما صارش + +476 +00:36:41,990 --> 00:36:46,290 +فيه Signal Transduction مافيش function بالإضافة لأن + +477 +00:36:46,290 --> 00:36:50,590 +الـ Cyclosporin تدفع معرفة تغيير الوضع بيطا وده + +478 +00:36:50,590 --> 00:36:54,850 +عبارة عن انهيبوتوريه سايتوكاينو Cyclosporin أيضًا + +479 +00:36:54,850 --> 00:37:02,270 +هو مفيد عندما يتم تدفعه قبل التدفع لكنه غير مفيد + +480 +00:37:02,270 --> 00:37:06,850 +في إغلاق إتجار مستمر يعني إذا إتجار شغال، إيه + +481 +00:37:06,850 --> 00:37:12,690 +بيقولته؟ Cyclosporin بيعتبر نفروتوكسيك وبالتالي + +482 +00:37:12,690 --> 00:37:17,520 +بيزيد الـ risk of cancer when administered for long + +483 +00:37:17,520 --> 00:37:22,960 +term يعني إذا اتخذ لفترات طويلة ممكن يعمل يكون + +484 +00:37:22,960 --> 00:37:28,340 +tumorigenesis نبر أربع immunosuppressive antibody + +485 +00:37:28,340 --> 00:37:31,380 +therapy بيعطوا Anti lymphocyte antibody + +486 +00:37:31,380 --> 00:37:36,320 +preparation زي as horse and rabbit anti lymphocyte + +487 +00:37:36,320 --> 00:37:45,280 +globulin استخدموهم as immunosuppressive therapy بس + +488 +00:37:45,280 --> 00:37:48,480 +للمؤسف ممكن يعملوا serum sickness disease يعني الـ + +489 +00:37:48,480 --> 00:37:52,420 +complications تبعتهم أنه ممكن يصير serum sickness + +490 +00:37:52,420 --> 00:37:57,740 +monoclonal antibody and engineered mouse human + +491 +00:37:57,740 --> 00:38:02,020 +chimeric antibody أو بيسموه humanized antibody + +492 +00:38:02,020 --> 00:38:08,220 +استخدموهم زي الـ RKT3 which is directed at KSCD3 + +493 +00:38:08,220 --> 00:38:10,940 +اللي موجود على سطح الـ T lymphocytes + +494 +00:38:14,360 --> 00:38:21,740 +الـ Zamab و Bacillus Zamab هم محدثين لـ IL-2 + +495 +00:38:21,740 --> 00:38:26,940 +ريسيبتور Alpha-Chain اللي هو CD25 ويعملون إعادة + +496 +00:38:26,940 --> 00:38:30,400 +إعادة إعادة إعادة الإعادة الريسيبتور IL-2 على سطح + +497 +00:38:30,400 --> 00:38:34,440 +الـ T-Lymphocytes. هؤلاء هم مخلوقات إعادة إعادة + +498 +00:38:34,440 --> 00:38:37,860 +إعادة CD3 وإعادة إعادة CD25 + +499 +00:38:40,900 --> 00:38:45,420 +الـ IL-2 والاكتفاءات + +500 +00:38:45,420 --> 00:38:55,940 +التابعة للـ T-cell. لا ننسى أن هناك اقتراحات تتجه + +501 +00:38:55,940 --> 00:39:03,420 +إلى الـ T-Helper-17 أو T-Helper-1. والبعض + +502 +00:39:03,420 --> 00:39:07,960 +من الـ T-Reg Cell قد يكون مسئولًا لإنقاذ عضوية من + +503 +00:39:07,960 --> 00:39:12,410 +الانتجار العضوي. طبعًا ما احنا عارفين في هذه الحالة + +504 +00:39:12,410 --> 00:39:16,870 +سواء كان تيربر واحد أو تيربر سبنتين إذا كان مشينا + +505 +00:39:16,870 --> 00:39:19,950 +في هذه الميكانيزمات واحد نشط نيوتروفيل واحد نشط + +506 +00:39:19,950 --> 00:39:23,070 +ماكروفير وبالتالي ممكن يعملوا acute graft + +507 +00:39:23,070 --> 00:39:31,550 +rejection بلقوا K-cytokines in vivo أشهرها IL-6 + +508 +00:39:31,550 --> 00:39:38,730 +هذا ممكن يعمل shifting from تيربر 17 لـ T-reg + +509 +00:39:38,730 --> 00:39:47,490 +T-reg + +510 +00:39:47,490 --> 00:39:50,470 +T-reg T-reg T-reg T-reg T-reg T-reg T-reg T-reg + +511 +00:39:50,470 --> 00:39:50,490 +T-reg T-reg T-reg T-reg T-reg T-reg T-reg T-reg + +512 +00:39:50,490 --> 00:39:50,650 +T-reg T-reg T-reg T-reg T-reg T-reg T-reg T-reg + +513 +00:39:50,650 --> 00:39:51,910 +T-reg T-reg T-reg T-reg T-reg T-reg T-reg T-reg + +514 +00:39:51,910 --> 00:40:00,250 +T-reg T-reg T-reg T-reg T-reg T-reg Plucking بيعملوا + +515 +00:40:00,250 --> 00:40:05,410 +Plucking للـ IL-6 وهذا بيحول من T-Helper cell 17 + +516 +00:40:05,410 --> 00:40:12,550 +Activity لـ T-Reg Activity بيجي للتطبيق + +517 +00:40:12,550 --> 00:40:17,870 +الهيوغروبوتيك stem cell Transplantation وهذا + +518 +00:40:17,870 --> 00:40:23,430 +بيتكوين من Special Transplantation Situation التي + +519 +00:40:23,430 --> 00:40:27,470 +تتجارب عامة بين مستخدم امينو كومبتان ومستخدم امينو + +520 +00:40:27,470 --> 00:40:28,850 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +521 +00:40:28,850 --> 00:40:30,650 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +522 +00:40:30,650 --> 00:40:38,170 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +523 +00:40:38,170 --> 00:40:40,030 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +524 +00:40:40,030 --> 00:40:40,950 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +525 +00:40:40,950 --> 00:40:44,690 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +526 +00:40:44,690 --> 00:40:46,650 +كومبتان ومستخدم امينو كومبتان ومستخ + +527 +00:40:49,670 --> 00:40:58,830 +stem cell من الـ blood سواء كان blood من اللي هو + +528 +00:40:58,830 --> 00:41:06,690 +عينة عادية أو + +529 +00:41:06,690 --> 00:41:11,110 +المهم الـ stem cell بتتاخد Hematopoietic stem cell is + +530 +00:41:11,110 --> 00:41:14,090 +used to treat a variety of conditions بما فيها + +531 +00:41:14,090 --> 00:41:19,640 +SCID اللي هو Severe Combined Immunodeficiency و Wiscott + +532 +00:41:19,640 --> 00:41:28,020 +Aldrich Syndrome واللوكيميا المتعاملة بشكل + +533 +00:41:28,020 --> 00:41:29,440 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +534 +00:41:29,440 --> 00:41:29,720 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +535 +00:41:29,720 --> 00:41:29,740 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +536 +00:41:29,740 --> 00:41:35,880 +كامل بشكل كامل بشكل كامل بشكل + +537 +00:41:35,880 --> 00:41:38,700 +كامل بشكل + +538 +00:41:45,720 --> 00:41:48,900 +transplantation is a form of gene therapy وكأن + +539 +00:41:48,900 --> 00:41:52,980 +احنا بنغير الـ gene الـ genetically abnormal blood + +540 +00:41:52,980 --> 00:41:56,840 +forming stem cell are replaced by normally + +541 +00:41:56,840 --> 00:42:00,620 +functioning cell كل اللي بنعمله أنه بنغيره بنا + +542 +00:42:00,620 --> 00:42:04,660 +stem cell مريضة ونحط بدلها stem cell سليمة + +543 +00:42:04,660 --> 00:42:09,160 +ultimate goal of hematopoietic cell transplantation + +544 +00:42:09,160 --> 00:42:15,160 +أنه نرجع الـ Bone marrow أو الـ Hemopoiesis into its + +545 +00:42:15,160 --> 00:42:21,360 +normal function اليوم Hematopoietic stem cell give + +546 +00:42:21,360 --> 00:42:24,300 +rise to all blood cell lineage زي ما احنا عارفين + +547 +00:42:24,300 --> 00:42:28,820 +Small number of these pluripotent cell also + +548 +00:42:28,820 --> 00:42:34,660 +circulate in blood فطبعًا أثناء هذه العملية GCSF is + +549 +00:42:34,660 --> 00:42:38,360 +used عشان نزود الـ number of hematopoietic stem cell + +550 +00:42:38,360 --> 00:42:45,020 +in both marrow and blood مقارنة من هذه الجلدات يمكن + +551 +00:42:45,020 --> 00:42:52,260 +تجاربها من وجهة CD43-34. جلد سيمجانيكس تيمسيل مرتبط + +552 +00:42:52,260 --> 00:42:57,480 +بالخطر الأعلى بسبب مشابهته الجينيكية بين الدونار + +553 +00:42:57,480 --> 00:43:01,440 +والرسبيل. Autologous Hematopoietic Cell + +554 +00:43:01,440 --> 00:43:06,800 +Transplantation هو تقنيات الحصول على أسلوب من الدم + +555 +00:43:06,800 --> 00:43:13,440 +أو المرور وإعادته إلى نفس الشخص طب يعني بناخد من + +556 +00:43:13,440 --> 00:43:17,520 +نفس الشخص ونديه طبعًا هذا الكلام كيف يصير ناخدها في + +557 +00:43:17,520 --> 00:43:24,770 +فترة الصحة ونحوشها له لحين المرض هو عادةً يتعامل + +558 +00:43:24,770 --> 00:43:28,910 +بالطبيع بشكل ماليجنسي مثل اللوكيميا الانفوميا + +559 +00:43:28,910 --> 00:43:35,470 +والميلوما الهيوبيتك الهيوجينيك الهيوبيتك الهيوبيتك + +560 +00:43:35,470 --> 00:43:35,770 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +561 +00:43:35,770 --> 00:43:36,310 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +562 +00:43:36,310 --> 00:43:37,090 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +563 +00:43:37,090 --> 00:43:40,530 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +564 +00:43:40,530 --> 00:43:49,170 +الهيوبيتك الهيوبيتك + +565 +00:43:55,880 --> 00:44:01,140 +بالتالي إذا كنا نحكي على مجموعة أو مجموعة من + +566 +00:44:01,140 --> 00:44:06,840 +البلسانتا لو بيسموها الامبلايكال اللي هو blood + +567 +00:44:06,840 --> 00:44:14,120 +blood blood blood blood blood blood blood blood + +568 +00:44:14,120 --> 00:44:19,120 +blood blood blood blood + +569 +00:44:19,120 --> 00:44:19,360 +blood blood blood blood blood blood blood blood + +570 +00:44:19,360 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +571 +00:44:35,730 --> 00:44:40,550 +أو الانتجينات اللي دخلت على الـ donor cell تعرف + +572 +00:44:40,550 --> 00:44:45,990 +عليها الـ host cell وعملتها rejection وبيسموه في + +573 +00:44:45,990 --> 00:44:51,890 +هذا الحالة الـ host يتنشط ضد الـ graft اللي دخل + +574 +00:44:51,890 --> 00:44:56,510 +سموها host vs graft effect أو العكس أنه اللي الـ + +575 +00:44:56,510 --> 00:45:00,330 +immune reaction of to the host أما C-antigen بي + +576 +00:45:00,330 --> 00:45:04,890 +occur as graft vs host disease نفس الـ graft هو + +577 +00:45:04,890 --> 00:45:10,150 +اللي اشتغل على اللامن يما الـ recipient يكون + +578 +00:45:10,150 --> 00:45:14,750 +immunocompetent Immunorejection by host T cell is + +579 +00:45:14,750 --> 00:45:17,230 +usually prevented by intensive immunosuppression + +580 +00:45:17,940 --> 00:45:21,780 +يعني إذا حصل الـ host vs graft disease كل ما نفعله + +581 +00:45:21,780 --> 00:45:25,240 +هو نعطيه immunosuppress فبنسكت الـ host cell ضد الـ + +582 +00:45:25,240 --> 00:45:30,620 +donor cell Patient with immunodeficiency disease + +583 +00:45:30,620 --> 00:45:34,680 +أي SCID ما بيحتاجوا الـ induction therapy since + +584 +00:45:34,680 --> 00:45:39,300 +there is no risk of rejection by host إلا to + +585 +00:45:39,300 --> 00:45:42,880 +reduce the risk of graft vs host disease إلا + +586 +00:45:42,880 --> 00:45:47,230 +الموضوع الثاني المرضي الثاني T-cells are eliminated + +587 +00:45:47,230 --> 00:45:55,350 +من العينة from donor cell population إما باستخدام + +588 +00:45:55,350 --> 00:45:59,670 +monoclonal anti T-cell antibody and complement or + +589 +00:45:59,670 --> 00:46:07,410 +irradiation. Graft-versus-host disease يوم ميسير + +590 +00:46:07,410 --> 00:46:11,190 +طبعًا Hematopoietic cell transplantation from donor + +591 +00:46:12,220 --> 00:46:15,980 +بالطبع أنا أشرت ليه Desperate Recipient Results in + +592 +00:46:15,980 --> 00:46:19,020 +Rejection طبيعي جدًا يوم التنشط اللي هو الـ host + +593 +00:46:19,020 --> 00:46:23,540 +cell الـ donor cell against host antigen بيصير فيه + +594 +00:46:23,540 --> 00:46:26,820 +graft versus host disease طبعًا سواء إن الـ antigen + +595 +00:46:26,820 --> 00:46:31,240 +كان major أو minor اتش انتجين المهم فيه reaction + +596 +00:46:31,240 --> 00:46:35,880 +graft versus host disease يتكامن من الـ minor + +597 +00:46:35,880 --> 00:46:40,530 +competent lymphoid cell بالنسبة للناس اللي اتعرف + +598 +00:46:40,530 --> 00:46:48,310 +على انتجينات الهوست هم الناس + +599 +00:46:48,310 --> 00:46:57,210 +اللي اتعرف على انتجينات الهوست هم + +600 +00:46:57,210 --> 00:47:01,290 +الناس اللي اتعرف على انتجينات الهوست Radiation + +601 +00:47:01,290 --> 00:47:05,550 +Therapy أو Chemotherapy اللي بتخلي مناعتهم قليلة + +602 +00:47:05,550 --> 00:47:09,490 +أو معدومة وبالتالي بيصير فيه إمكانية لعدوث الـ + +603 +00:47:09,490 --> 00:47:13,490 +graft-versus-host disease لإنه ممكن تصير الكلام + +604 +00:47:13,490 --> 00:47:20,790 +هذا as acute وبيتشكل هذه في 15% لـ 40% من حالة الـ + +605 +00:47:20,790 --> 00:47:25,590 +hemipietic cell transplantation وفي هذا الحل + +606 +00:47:25,590 --> 00:47:33,010 +الموتى والـ morbidity is + +607 +00:47:33,010 --> 00:47:37,090 +the major cause of morbidity after allogenic HCT + +608 +00:47:37,090 --> 00:47:42,650 +الـ chronic بتشكل حوالي 50% من المرضى ماشي بيصير + +609 +00:47:42,650 --> 00:47:46,350 +في حوالي 50% من المرضى اللي ممكن يثبت لغاية تلت + +610 +00:47:46,350 --> 00:47:51,730 +شهور بعد عملية الزراعة الـ acute graft versus host + +611 +00:47:51,730 --> 00:47:57,060 +disease بينثل طبعًا accelerated inflammatory + +612 +00:47:57,060 --> 00:48:04,060 +response يعني response عالي against foreign + +613 +00:48:04,060 --> 00:48:08,960 +antigen طبعًا الـ host قال له antigen في هذه الحالة + +614 +00:48:08,960 --> 00:48:12,520 +donor lymphocyte encounter tissue the recipient + +615 +00:48:12,520 --> 00:48:20,500 +that has been damaged to an underlying disease و + +616 +00:48:20,500 --> 00:48:28,420 +الناس هدول كما قلنا لكم يكونوا متعرضين لإما بري + +617 +00:48:28,420 --> 00:48:33,440 +هيموبيتكسل ترانسبلانتيشن ثيرابي برادياشن أو + +618 +00:48:33,440 --> 00:48:39,060 +بكيموثيرابي. In human, graft-versus-host disease may + +619 +00:48:39,060 --> 00:48:43,460 +produce splenomegaly نفس دولة or hepatomegaly or + +620 +00:48:43,460 --> 00:48:47,720 +lymphadenopathy or diarrhea, anemia, weight loss + +621 +00:48:47,720 --> 00:48:50,280 +and other disorders in which the underlying cause + +622 +00:48:50,280 --> 00:48:54,540 +are inflammation أو الـ Destruction من هذا الموضوع + +623 +00:48:54,540 --> 00:48:58,520 +. It is usually graft-versus-host disease is + +624 +00:48:58,520 --> 00:49:04,640 +initiated by donor derived T cell تعرفت على + +625 +00:49:04,640 --> 00:49:09,900 +Recipient MHC antigen and minor H antigen as + +626 +00:49:09,900 --> 00:49:15,840 +foreign والـ procedure الأساسي أو المثالي are used + +627 +00:49:15,840 --> 00:49:21,350 +to eliminate نيومولما يعملوا الـ hemopoietic cell + +628 +00:49:21,350 --> 00:49:24,030 +transplantation بيعملوا elimination للـ T cell من + +629 +00:49:24,030 --> 00:49:29,790 +donor hemopoietic stem cell sources لكن بتبقى الـ + +630 +00:49:29,790 --> 00:49:36,330 +pluripotent stem cell أيضًا ممكن تعطي خلايا أو + +631 +00:49:36,330 --> 00:49:40,550 +تولدنا خلايا من الـ T lymphocyte which are active + +632 +00:49:43,230 --> 00:49:45,290 +معظم الناس اللي بيشتغلوا في الالتهابات اللي + +633 +00:49:45,290 --> 00:49:46,870 +بيشتغلوا في الالتهابات اللي بيشتغلوا في الالتهابات + +634 +00:49:46,870 --> 00:49:47,730 +اللي بيشتغلوا في الالتهابات اللي بيشتغلوا في + +635 +00:49:47,730 --> 00:49:48,690 +الالتهابات اللي بيشتغلوا في الالتهابات اللي بيشتغلوا + +636 +00:49:48,690 --> 00:49:49,730 +في الالتهابات اللي بيشتغلوا في الالتهابات اللي + +637 +00:49:49,730 --> 00:49:50,270 +بيشتغلوا في الالتهابات اللي بيشتغلوا في الالتهابات + +638 +00:49:50,270 --> 00:49:51,850 +اللي بيشتغلوا في الالتهابات اللي بيشتغلوا في + +639 +00:49:51,850 --> 00:49:54,530 +الالتهابات اللي بيشتغلوا في الالتهابات اللي بيشتغلوا + +640 +00:49:54,530 --> 00:49:57,140 +في الالتهابات اللي بيشتغلوا عن طريق الـ Inflammatory + +641 +00:49:57,140 --> 00:49:59,680 +Reaction بيحصل في الـ cytokine release أشهرها + +642 +00:49:59,680 --> 00:50:03,440 +TNF alpha و IL-1 شو بيعملوا؟ قالوا + +643 +00:50:03,440 --> 00:50:06,440 +هدول بيعملوا recruitment للـ inflammatory cell + +644 +00:50:06,440 --> 00:50:10,120 +inflammatory cell وبالتالي بتيجي بتساعد بتزيد + +645 +00:50:10,120 --> 00:50:15,260 +الضرر يعني بتساعد في زيادة الـ destruction of + +646 +00:50:15,260 --> 00:50:19,080 +cell طبعًا + +647 +00:50:19,080 --> 00:50:22,540 +unless the reaction is controlledالشيء اللي بيحدث + +648 +00:50:22,540 --> 00:50:26,120 +في المريض هو أن المرض بيستعمل وبيهاجم ميكانيزم + +649 +00:50:26,120 --> 00:50:30,320 +الدفاع المناعي وبالتالي + +650 +00:50:30,320 --> 00:50:33,580 +ممكن تؤدي إلى الوفاة لأنه بيصير في المريض وكأنه + +651 +00:50:33,580 --> 00:50:39,240 +بيُعاني من status of immunodeficiency وبالتالي ممكن + +652 +00:50:39,240 --> 00:50:44,400 +تؤدي إلى الوفاة لكن يمكن أن يكون مُعالج بمجموعة من + +653 +00:50:44,400 --> 00:50:48,020 +الأدوية المعروفة بالمناعة مثل Cyclosporin + +654 +00:50:48,020 --> 00:50:49,020 +وTacrolimus + +655 +00:50:53,930 --> 00:51:00,030 +بسرعة من Methotrexate ككيموثيرابي هذا بالنسبة + +656 +00:51:00,030 --> 00:51:05,190 +للهيموبيتك stem cell transplantation الموضوع الثاني + +657 +00:51:05,190 --> 00:51:07,870 +اللي بدنا نحكي فيه في الموضوعين التاليين اللي هو + +658 +00:51:07,870 --> 00:51:11,670 +موضوع الفيتس هو بلعن tolerated allograft + +659 +00:51:15,600 --> 00:51:21,480 +وجاله في عدة أسباب بالنسبة لهذا الموضوع أول سبب أن + +660 +00:51:21,480 --> 00:51:25,880 +الـ fetus express paternal amnesty antigen that is + +661 +00:51:25,880 --> 00:51:30,660 +not expressed by mother وبالتالي المفروض أنه to be + +662 +00:51:30,660 --> 00:51:33,920 +rejected by the mother as an allograft لكن اللي + +663 +00:51:33,920 --> 00:51:41,240 +بيصير أنه ما بيصير المفروض + +664 +00:51:41,240 --> 00:51:44,830 +أن الـ motherكان معروف أن الأجسام المضادة بتتفاعل مع + +665 +00:51:44,830 --> 00:51:49,010 +أنتيجينات الفيطس مثل ما بيحدث في حالة الـ Rh antibodies + +666 +00:51:49,010 --> 00:51:59,790 +بالإضافة لأن الأم كانت بتخلف كثيرًا multiparous woman + +667 +00:51:59,790 --> 00:52:09,530 +عندها أجسام مضادة ضد MSC antigens بشكل كبير إلا أن + +668 +00:52:09,530 --> 00:52:19,230 +ليست أجسام مضادةare harmless to the fetus هذه نقطة + +669 +00:52:19,230 --> 00:52:26,710 +مهمة they cannot cross the placenta لأسباب ثانية + +670 +00:52:26,710 --> 00:52:31,690 +mother does not produce cytotoxic T cell against + +671 +00:52:31,690 --> 00:52:39,830 +the fetus شيء ثالث trophoblast بتاعة الفيتس اللي + +672 +00:52:39,830 --> 00:52:44,250 +بتكون الـ outer layer of placenta واللي هي on + +673 +00:52:44,250 --> 00:52:47,950 +direct contact with material tissue Do not express + +674 +00:52:47,950 --> 00:52:53,070 +polymorphic MHC class 1 أو class 2 molecule ولكن + +675 +00:52:53,070 --> 00:52:56,830 +they express another polymorphic class of MHC + +676 +00:52:56,830 --> 00:53:01,410 +antigen بيسموه class 1B MHC molecule أو بيسموه + +677 +00:53:01,410 --> 00:53:06,850 +HLA-G وبالتالي الـ fetal trophoblast does not prime + +678 +00:53:06,850 --> 00:53:11,230 +for cellular immune responseالتي مرتبطة بالـ + +679 +00:53:11,230 --> 00:53:16,650 +Allograft Rejection بل بالعكس الـ HLA-G بتمنح الـ + +680 +00:53:16,650 --> 00:53:23,050 +ligand للـ KIR اللي موجود على الـ maternal NK cell + +681 +00:53:23,050 --> 00:53:29,450 +وبالتالي بيمنع نشاطها بيمنع عملية قتل الـ fetal + +682 +00:53:29,450 --> 00:53:33,870 +cell by NK cell شو بيعمل؟ مرتبط بالـ K inhibitory + +683 +00:53:33,870 --> 00:53:37,440 +receptor Killer Inhibitory Receptor اللي موجود على + +684 +00:53:37,440 --> 00:53:47,680 +سطح الـ NK cell بتاعة الـ fetus HLA-G أيضًا Expressed in + +685 +00:53:47,680 --> 00:53:52,720 +Thymic Medullary Epithelium وهذا بيؤكد أن T cell + +686 +00:53:52,720 --> 00:54:00,860 +tolerance to this molecule شافته قبل هيك أيضًا No + +687 +00:54:00,860 --> 00:54:06,600 +cell expressing large amountأو MSC Class 2 مثلًا + +688 +00:54:06,600 --> 00:54:13,660 +دلتراتكسل التي تم وجودها في المشيمة ما فيش Alpha + +689 +00:54:13,660 --> 00:54:17,980 +-Fetoprotein هو برضه بروتين بيصنع في الـ yolk sac + +690 +00:54:17,980 --> 00:54:23,680 +وفي الـ fetal liver وبيعتبر important in the survival of + +691 +00:54:23,680 --> 00:54:29,240 +the fetus بيستخدم لإنه بيعتبر كـ immunosuppressive + +692 +00:54:29,240 --> 00:54:33,040 +drug له immunosuppressive properties + +693 +00:54:35,540 --> 00:54:39,980 +وبالتالي الفيتس لا يشتغل في جهاز مناعي بالعكس + +694 +00:54:39,980 --> 00:54:46,640 +بيعتبر موجود فيه موجود في جهاز + +695 +00:54:46,640 --> 00:54:48,160 +مناعي و بيعتبر موجود فيه موجود فيه موجود فيه موجود + +696 +00:54:48,160 --> 00:54:48,500 +فيه موجود فيه موجود فيه موجود فيه موجود + +697 +00:54:48,500 --> 00:54:48,900 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +698 +00:54:48,900 --> 00:54:49,060 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +699 +00:54:49,060 --> 00:54:49,080 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +700 +00:54:49,080 --> 00:54:53,360 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +701 +00:54:53,360 --> 00:55:03,980 +فيه موجود + +702 +00:55:03,980 --> 00:55:09,580 +في وفي حالات الـ diabetic ulcer والـ venous ulcer + +703 +00:55:09,580 --> 00:55:18,260 +وغالبًا بتشير commonly to autologous طبعًا recently + +704 +00:55:18,260 --> 00:55:22,700 +artificial skin has been used يعني بدؤوا يصنعوا + +705 +00:55:22,700 --> 00:55:25,800 +consisting of stromal element and cultured cell + +706 +00:55:25,800 --> 00:55:30,360 +for allogenic or xenogenic origin صاروا يستخدموا + +707 +00:55:30,360 --> 00:55:31,140 +اللي هو + +708 +00:55:35,440 --> 00:55:43,300 +وأحد من أصول اللي هو مصنعة kidney + +709 +00:55:43,300 --> 00:55:48,500 +زي ما في حالات الـ renal failure طبعًا الـ graft + +710 +00:55:48,500 --> 00:55:58,540 +survival بيزيد عن 85% لمدة سنة حتى وإن كان unrelated + +711 +00:55:58,540 --> 00:56:05,920 +matching is present طبعًا مش سنة أنا بقول اليوم في + +712 +00:56:05,920 --> 00:56:10,680 +الـ kidney اليوم وصل by using immunosuppressive + +713 +00:56:10,680 --> 00:56:16,500 +regimen لغاية آخر أحد الأبحاث بتقول لغاية عشرين + +714 +00:56:16,500 --> 00:56:20,740 +وخمس وعشرين سنة liver في حالة الـ hepatocellular أو الـ + +715 +00:56:20,740 --> 00:56:25,320 +biliary atresia successful in about two third of + +716 +00:56:25,320 --> 00:56:30,320 +recipient for one year heart في حالة الـ cardiac + +717 +00:56:30,320 --> 00:56:36,750 +failure survival rate بتوصل إلى 80% لمدة سنة الـ + +718 +00:56:36,750 --> 00:56:39,530 +lung في حالات الـ advanced pulmonary أو + +719 +00:56:39,530 --> 00:56:45,050 +cardiopulmonary diseases وغالبًا بسرعة + +720 +00:56:45,050 --> 00:56:47,050 +transplantation together with heart + +721 +00:56:47,050 --> 00:56:51,390 +transplantation دول مروا في حالات الـ incurable + +722 +00:56:51,390 --> 00:56:56,190 +لوكيميا لنفوما congenital immunodeficiency و risk + +723 +00:56:56,190 --> 00:57:01,180 +of graft versus host disease transplantation of a + +724 +00:57:01,180 --> 00:57:04,180 +hemopoietic cell has been used عشان يخفف من + +725 +00:57:04,180 --> 00:57:07,860 +الشرسة graft versus his disease بدؤوا يستخدموا + +726 +00:57:07,860 --> 00:57:12,940 +hemopoietic stem cell مش بوليمار كورنيا في حالة الـ + +727 +00:57:12,940 --> 00:57:18,060 +blindness actually matching is not advantageous مش + +728 +00:57:18,060 --> 00:57:24,900 +كثير ميزة لأن الكورنيا أو الـ eye is privileged + +729 +00:57:24,900 --> 00:57:29,370 +site immunoprivileged site وبالتالي ما في + +730 +00:57:29,370 --> 00:57:34,610 +lymphatic drainage pancreas في حالات الـ diabetes + +731 +00:57:34,610 --> 00:57:38,770 +mellitus pancreas and kidney transplantation + +732 +00:57:38,770 --> 00:57:47,710 +الإثنين مع بعض success rate يعني تقريبًا بتنجح من + +733 +00:57:47,710 --> 00:57:53,490 +الـ kidney transplant وبهيك بنكون انتهينا من محاضرة الـ + +734 +00:57:53,490 --> 00:57:57,710 +kidney transplant الـ transplantation يعني أرجو أن + +735 +00:57:57,710 --> 00:58:03,630 +تكون أفدتكم واستمتعتم بهذه المحاضرة و شكراً diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..9e1aa59b9b95454c27f3d4a1c2af55021cdb9bf8 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 2851, "start": 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antigen مباشرة لمن؟ ل T lymphocyte وفي ال indirect لأ والله هنا ال recipient antigen presenting cell تعرفت على ال antigen أخدته وعملت له processing وقدمته لمن؟ لل host cell", "tokens": [2407, 3224, 24192, 8032, 15042, 41950, 16572, 38149, 9957, 1975, 1829, 3224, 8978, 2423, 2047, 8717, 36178, 33962, 1211, 10632, 23758, 39896, 25493, 2511, 3213, 15578, 2815, 12174, 40448, 2655, 2423, 2511, 3213, 3714, 3555, 33599, 25720, 5296, 27842, 22807, 5296, 314, 31070, 31078, 975, 4032, 41185, 2423, 19523, 5296, 10721, 16070, 43761, 34105, 2423, 26216, 2511, 3213, 15578, 2815, 37279, 28480, 2655, 15844, 2423, 2511, 3213, 5551, 9778, 3215, 47395, 4032, 25957, 1211, 2655, 46740, 9007, 4032, 28543, 2304, 47395, 5296, 27842, 22807, 24976, 3975, 2815], "avg_logprob": -0.31729403273625806, "compression_ratio": 1.611353711790393, "no_speech_prob": 4.76837158203125e-07, "words": [{"start": 1087.73, "end": 1088.19, "word": "وهذه", "probability": 0.468994140625}, {"start": 1088.19, "end": 1088.47, "word": " 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"temperature": 1.0}, {"id": 109, "seek": 287223, "start": 2847.45, "end": 2872.23, "text": "والـ morbidity is the major cause of morbidity after allogenic HCT الـ chronic بتشكل حوالي 50% من المرضى ماشي بيصير في حوالي 50% من المرضى اللي ممكن يثبت لغاية تلت شهور بعد عملية الزراعة ال acute graft versus heart disease", "tokens": [2407, 6027, 39184, 46510, 17711, 307, 264, 2563, 3082, 295, 46510, 17711, 934, 439, 25473, 389, 10259, 2423, 39184, 14493, 39894, 8592, 28820, 11331, 2407, 6027, 1829, 2625, 4, 9154, 9673, 43042, 7578, 3714, 33599, 1829, 4724, 1829, 9381, 13546, 8978, 11331, 2407, 6027, 1829, 2625, 4, 9154, 9673, 43042, 7578, 13672, 1829, 3714, 43020, 7251, 12984, 3555, 2655, 5296, 17082, 995, 10632, 6055, 1211, 2655, 13412, 3224, 13063, 39182, 6225, 42213, 10632, 6024, 110, 23557, 27884, 2423, 24390, 44767, 5717, 1917, 4752], "avg_logprob": -0.2672991131742795, "compression_ratio": 1.4647887323943662, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 2847.45, "end": 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{"start": 2868.59, "end": 2869.91, "word": " ال", "probability": 0.927734375}, {"start": 2869.91, "end": 2870.33, "word": " acute", "probability": 0.681640625}, {"start": 2870.33, "end": 2871.15, "word": " graft", "probability": 0.91845703125}, {"start": 2871.15, "end": 2871.53, "word": " versus", "probability": 0.47607421875}, {"start": 2871.53, "end": 2871.73, "word": " heart", "probability": 0.442626953125}, {"start": 2871.73, "end": 2872.23, "word": " disease", "probability": 0.9296875}], "temperature": 1.0}, {"id": 110, "seek": 290250, "start": 2873.74, "end": 2902.5, "text": "بينثل طبعا accelerated inflammatory response يعني response عالي against foreign antigen طبعا ال host قال له antigen في هذه الحالة donor lymphocyte encounter tissue the recipient that has been damaged to an underlying disease و الناس هدولة", "tokens": [3555, 9957, 12984, 1211, 23032, 3555, 3615, 995, 29763, 38199, 4134, 37495, 22653, 4134, 6225, 6027, 1829, 1970, 5329, 2511, 3213, 23032, 3555, 3615, 995, 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"probability": 0.8426106770833334}, {"start": 2882.44, "end": 2883.7, "word": " against", "probability": 0.79248046875}, {"start": 2883.7, "end": 2884.06, "word": " foreign", "probability": 0.61572265625}, {"start": 2884.06, "end": 2884.7, "word": " antigen", "probability": 0.86083984375}, {"start": 2884.7, "end": 2886.76, "word": " طبعا", "probability": 0.9029541015625}, {"start": 2886.76, "end": 2886.9, "word": " ال", "probability": 0.94970703125}, {"start": 2886.9, "end": 2887.16, "word": " host", "probability": 0.69140625}, {"start": 2887.16, "end": 2887.4, "word": " قال", "probability": 0.96435546875}, {"start": 2887.4, "end": 2887.52, "word": " له", "probability": 0.260986328125}, {"start": 2887.52, "end": 2887.96, "word": " antigen", "probability": 0.806396484375}, {"start": 2887.96, "end": 2888.12, "word": " في", "probability": 0.732421875}, {"start": 2888.12, "end": 2888.22, "word": " هذه", "probability": 0.344970703125}, {"start": 2888.22, "end": 2888.96, "word": " الحالة", 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"probability": 0.8759765625}, {"start": 2896.46, "end": 2897.12, "word": " underlying", "probability": 0.9560546875}, {"start": 2897.12, "end": 2897.94, "word": " disease", "probability": 0.9208984375}, {"start": 2897.94, "end": 2900.5, "word": " و", "probability": 0.3828125}, {"start": 2900.5, "end": 2901.96, "word": " الناس", "probability": 0.92919921875}, {"start": 2901.96, "end": 2902.5, "word": " هدولة", "probability": 0.7999267578125}], "temperature": 1.0}, {"id": 111, "seek": 293196, "start": 2904.22, "end": 2931.96, "text": "كما قلنا لكم يكونوا متعرضين لإما بري هيموبيتكسل ترانسبلانتيشن ثيرابي برادياشن أو بكيموثيرابي. 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"word": " اللي", "probability": 0.74072265625}, {"start": 3065.29, "end": 3065.55, "word": " بدنا", "probability": 0.797607421875}, {"start": 3065.55, "end": 3065.89, "word": " نحكي", "probability": 0.97705078125}, {"start": 3065.89, "end": 3066.27, "word": " فيه", "probability": 0.975830078125}, {"start": 3066.27, "end": 3066.47, "word": " في", "probability": 0.72802734375}, {"start": 3066.47, "end": 3067.05, "word": " الموضوعين", "probability": 0.86376953125}, {"start": 3067.05, "end": 3067.49, "word": " دايلين", "probability": 0.756134033203125}, {"start": 3067.49, "end": 3067.67, "word": " اللي", "probability": 0.754638671875}, {"start": 3067.67, "end": 3067.87, "word": " هو", "probability": 0.97265625}, {"start": 3067.87, "end": 3068.19, "word": " موضوع", "probability": 0.85748291015625}, {"start": 3068.19, "end": 3068.75, "word": " الفيتس", "probability": 0.83642578125}, {"start": 3068.75, "end": 3069.37, "word": " هو", "probability": 0.87841796875}, {"start": 3069.37, "end": 3070.31, "word": " بلعن", "probability": 0.7623291015625}, {"start": 3070.31, "end": 3070.99, "word": " tolerated", "probability": 0.61138916015625}, {"start": 3070.99, "end": 3071.67, "word": " allograft", "probability": 0.616455078125}], "temperature": 1.0}, {"id": 118, "seek": 310210, "start": 3075.6, "end": 3102.1, "text": "وجاله في عدة أسباب بالنسبة لهذا الموضوع أول سبب أن ال fetus express paternal amnesty antigen that is not expressed by mother وبالتالي المفروض أنه to be rejected by the mother as an allograft لكن اللي بيصير أنه مارزي المفروض أنه ال mother", "tokens": [29245, 6027, 3224, 8978, 6225, 41891, 5551, 35457, 16758, 20666, 1863, 35457, 3660, 46740, 15730, 9673, 2407, 11242, 45367, 5551, 12610, 8608, 3555, 3555, 14739, 2423, 15136, 301, 5109, 42302, 4660, 669, 77, 7819, 2511, 3213, 300, 307, 406, 12675, 538, 2895, 46599, 6027, 2655, 6027, 1829, 9673, 5172, 32887, 11242, 14739, 3224, 281, 312, 15749, 538, 264, 2895, 382, 364, 439, 664, 4469, 44381, 13672, 1829, 4724, 1829, 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"end": 3087.86, "word": " mother", "probability": 0.5615234375}, {"start": 3087.86, "end": 3089.62, "word": " وبالتالي", "probability": 0.889306640625}, {"start": 3089.62, "end": 3090.14, "word": " المفروض", "probability": 0.995361328125}, {"start": 3090.14, "end": 3090.4, "word": " أنه", "probability": 0.741943359375}, {"start": 3090.4, "end": 3090.52, "word": " to", "probability": 0.6689453125}, {"start": 3090.52, "end": 3090.66, "word": " be", "probability": 0.95263671875}, {"start": 3090.66, "end": 3091.08, "word": " rejected", "probability": 0.97119140625}, {"start": 3091.08, "end": 3091.38, "word": " by", "probability": 0.96240234375}, {"start": 3091.38, "end": 3091.56, "word": " the", "probability": 0.841796875}, {"start": 3091.56, "end": 3091.86, "word": " mother", "probability": 0.849609375}, {"start": 3091.86, "end": 3092.38, "word": " as", "probability": 0.65380859375}, {"start": 3092.38, "end": 3092.68, "word": " an", "probability": 0.82080078125}, {"start": 3092.68, "end": 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لأن الأم كانت تخلف كثيرا الملتبرة woman عندها انتيبادي تفادر MSC انتجن بشكل كبير الا ان ليس انتيبادي", "tokens": [41361, 20449, 32887, 5172, 16472, 2423, 7649, 31371, 3555, 995, 16254, 7251, 2655, 5172, 995, 30241, 20449, 16472, 2655, 7435, 1863, 27188, 1829, 9566, 2288, 7649, 50113, 1211, 15042, 7251, 24401, 12984, 8978, 11331, 6027, 3660, 2423, 39184, 16111, 16472, 31371, 3555, 995, 16254, 20666, 46958, 31845, 3660, 5296, 33456, 16247, 2304, 25961, 2655, 6055, 9778, 46538, 9122, 12984, 13546, 995, 9673, 1211, 2655, 3555, 25720, 3059, 43242, 11296, 16472, 31371, 3555, 995, 16254, 6055, 5172, 18513, 2288, 7395, 34, 16472, 2655, 7435, 1863, 4724, 8592, 28820, 9122, 3555, 13546, 42963, 16472, 32239, 3794, 16472, 31371, 3555, 995, 16254], "avg_logprob": -0.47500000923871993, "compression_ratio": 1.8440860215053763, "no_speech_prob": 0.0, "words": [{"start": 3102.91, "end": 3103.23, "word": "كان", "probability": 0.740234375}, {"start": 3103.23, "end": 3103.55, "word": " معروف", "probability": 0.485107421875}, {"start": 3103.55, "end": 3103.69, "word": " ان", "probability": 0.71875}, {"start": 3103.69, "end": 3104.15, "word": " الانتيبادي", "probability": 0.6826578776041666}, {"start": 3104.15, "end": 3104.63, "word": " يتفاعل", "probability": 0.39312744140625}, {"start": 3104.63, "end": 3104.83, "word": " مع", "probability": 0.611328125}, {"start": 3104.83, "end": 3105.09, "word": " انتجن", "probability": 0.589569091796875}, {"start": 3105.09, "end": 3105.43, "word": " الفيطران", "probability": 0.510888671875}, {"start": 3105.43, "end": 3106.33, "word": " مثلما", "probability": 0.554931640625}, {"start": 3106.33, "end": 3106.57, "word": " يحدث", "probability": 0.7649739583333334}, {"start": 3106.57, "end": 3106.71, "word": " في", "probability": 0.84814453125}, {"start": 3106.71, "end": 3107.01, "word": " حالة", "probability": 0.9724934895833334}, {"start": 3107.01, "end": 3107.17, "word": " الـ", "probability": 0.51934814453125}, {"start": 3107.17, "end": 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{"start": 3122.29, "end": 3122.93, "word": " تفادر", "probability": 0.67657470703125}, {"start": 3122.93, "end": 3123.55, "word": " MSC", "probability": 0.503387451171875}, {"start": 3123.55, "end": 3124.37, "word": " انتجن", "probability": 0.8826904296875}, {"start": 3124.37, "end": 3126.43, "word": " بشكل", "probability": 0.9576822916666666}, {"start": 3126.43, "end": 3126.87, "word": " كبير", "probability": 0.9925130208333334}, {"start": 3126.87, "end": 3129.27, "word": " الا", "probability": 0.654296875}, {"start": 3129.27, "end": 3129.53, "word": " ان", "probability": 0.9130859375}, {"start": 3129.53, "end": 3131.63, "word": " ليس", "probability": 0.449462890625}, {"start": 3131.63, "end": 3132.43, "word": " انتيبادي", "probability": 0.919921875}], "temperature": 1.0}, {"id": 120, "seek": 316217, "start": 3133.33, "end": 3162.17, "text": "are harmless to the fetus هذه نقطة مهمة they cannot cross the placenta لحاجات تانية mother does not produce cytotoxic T cell against the fetus إشي تالت trophoplasm بتاعة الفيتس اللي بتتكوّم ال outer layer of placenta", "tokens": [543, 40160, 281, 264, 15136, 301, 29538, 8717, 47432, 3660, 3714, 16095, 3660, 436, 2644, 3278, 264, 20831, 8938, 5296, 5016, 26108, 9307, 6055, 7649, 10632, 2895, 775, 406, 5258, 40248, 310, 5230, 299, 314, 2815, 1970, 264, 15136, 301, 11933, 8592, 1829, 6055, 6027, 2655, 45583, 404, 7743, 76, 39894, 995, 27884, 27188, 36081, 3794, 13672, 1829, 39894, 2655, 4117, 2407, 11703, 2304, 2423, 10847, 4583, 295, 20831, 8938], "avg_logprob": -0.2561619583989533, "compression_ratio": 1.3383084577114428, "no_speech_prob": 0.0, "words": [{"start": 3133.33, "end": 3133.73, "word": "are", "probability": 0.04443359375}, {"start": 3133.73, "end": 3134.19, "word": " harmless", "probability": 0.884765625}, {"start": 3134.19, "end": 3134.73, "word": " to", "probability": 0.96630859375}, {"start": 3134.73, "end": 3134.93, "word": " the", "probability": 0.92578125}, {"start": 3134.93, "end": 3135.97, "word": " fetus", 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بيسموه class 1B MHC molecule أو بيسموه HLAG وبالتالي الـ fetal trophoblast does not prime for cellular immune response", "tokens": [2407, 6027, 20292, 39896, 322, 2047, 3385, 365, 2527, 12404, 1144, 406, 5109, 6754, 76, 18191, 299, 34796, 34, 1508, 502, 420, 1508, 568, 15582, 35525, 19452, 436, 5109, 1071, 6754, 76, 18191, 299, 1508, 295, 34796, 34, 2511, 3213, 4724, 1829, 38251, 2407, 3224, 1508, 502, 33, 34796, 34, 15582, 34051, 4724, 1829, 38251, 2407, 3224, 389, 11435, 38, 46599, 6027, 2655, 6027, 1829, 2423, 39184, 15136, 304, 45583, 996, 15459, 775, 406, 5835, 337, 29267, 11992, 4134], "avg_logprob": -0.2898437637835741, "compression_ratio": 1.461187214611872, "no_speech_prob": 0.0, "words": [{"start": 3163.27, "end": 3163.75, "word": "واللي", "probability": 0.5312906901041666}, {"start": 3163.75, "end": 3164.07, "word": " هي", "probability": 0.857421875}, {"start": 3164.07, "end": 3164.25, "word": " on", "probability": 0.2105712890625}, {"start": 3164.25, "end": 3164.63, "word": 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--git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..b594ef6d54d93c1974bdfd89b5c9dcbc367eab9b --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LIZ6qHppDBc_raw.srt @@ -0,0 +1,3184 @@ +1 +00:00:01,970 --> 00:00:06,570 +بسم الله الرحمن الرحيم اليوم + +2 +00:00:06,570 --> 00:00:10,790 +ان شاء الله احنا نحكي في محاضرة جديدة بعنوان + +3 +00:00:10,790 --> 00:00:16,750 +transplantation what's going on what are the + +4 +00:00:16,750 --> 00:00:26,250 +mechanisms involved what are the new mechanisms + +5 +00:00:26,250 --> 00:00:31,590 +involved in rejectionهنحكي على application of + +6 +00:00:31,590 --> 00:00:34,230 +transplantation هنحكي على hemopoietic stem cell + +7 +00:00:34,230 --> 00:00:39,050 +transplantation ونشوف المصطلحات medical terms + +8 +00:00:39,050 --> 00:00:44,230 +associated with transplantation بشكل عام كنا بنعرف + +9 +00:00:44,230 --> 00:00:47,490 +أنه في على ال tissue و ال organs of the body + +10 +00:00:47,490 --> 00:00:52,950 +أنتجين أيضا في على ال white blood cell ال MHC + +11 +00:00:52,950 --> 00:00:57,950 +أنتجين these antigens are highly polymorphic among + +12 +00:00:57,950 --> 00:01:01,890 +the populationوبالتالي، الاتصال بين مستخدم ومستخدم + +13 +00:01:01,890 --> 00:01:02,830 +مصالح ومستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +14 +00:01:02,830 --> 00:01:03,150 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +15 +00:01:03,150 --> 00:01:07,650 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +16 +00:01:07,650 --> 00:01:09,770 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +17 +00:01:09,770 --> 00:01:10,530 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +18 +00:01:10,530 --> 00:01:14,110 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +19 +00:01:14,110 --> 00:01:17,870 +مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم مستخدم + +20 +00:01:17,870 --> 00:01:22,750 +مستخدم مستخ + +21 +00:01:23,190 --> 00:01:28,590 +هذه العملية من عملية transplantation more common + +22 +00:01:28,590 --> 00:01:31,610 +place يعني very common place بمعنى ان صارت في + +23 +00:01:31,610 --> 00:01:38,330 +عمليات ال transplantation are common as possible + +24 +00:01:38,330 --> 00:01:43,010 +الفيجور + +25 +00:01:43,010 --> 00:01:46,470 +هذا اللي بيبين ان ال relationship between donor + +26 +00:01:46,470 --> 00:01:47,190 +and recipient + +27 +00:01:52,350 --> 00:01:56,990 +زي ما انتوا شايفين انواع ال graft الأولاني هو + +28 +00:01:56,990 --> 00:02:02,630 +عبارة عن autograft الإنسان ممكن ياخد من أي مكان في + +29 +00:02:02,630 --> 00:02:08,790 +جسمه لجسمه في مكان آخر استخداماتها كثيرة في الحروق + +30 +00:02:08,790 --> 00:02:14,810 +و بيسموه ال autograft و في ال هذا النوع من ال + +31 +00:02:14,810 --> 00:02:20,110 +autograft يعني is not rejected it's takenالموضوع + +32 +00:02:20,110 --> 00:02:29,490 +التاني من ال drafting هو بين individual او + +33 +00:02:29,490 --> 00:02:33,250 +identical twins they have زي ما انتوا شايفين the + +34 +00:02:33,250 --> 00:02:39,310 +same MSC molecule وبالتالي ايضا ال graft is not + +35 +00:02:39,310 --> 00:02:43,880 +rejected between these individualهو تالت من + +36 +00:02:43,880 --> 00:02:48,700 +الـGrafting هو الـGrafting بين مجموعات مختلفة من + +37 +00:02:48,700 --> 00:02:53,300 +نفس المجموعات وبالتالي هم لديهم موليكيول MSC + +38 +00:02:53,300 --> 00:02:57,140 +مختلفة هذا A وهذا B وبالتالي يسمون الـGraft في هذه + +39 +00:02:57,140 --> 00:03:03,580 +الحالة Allograft وانتهى الـRejection أو بين + +40 +00:03:03,580 --> 00:03:09,710 +مجموعات مختلفة من مجموعات مختلفةزي ما انتوا شايفين + +41 +00:03:09,710 --> 00:03:14,830 +هي الفار والأجنب and this is called xenograft and + +42 +00:03:14,830 --> 00:03:19,870 +it's also they have different antigenic molecule + +43 +00:03:19,870 --> 00:03:26,230 +هي MCX و MCA وبالتالي the graft is also it's + +44 +00:03:26,230 --> 00:03:30,590 +called xenograft and rejected هذه هي أنواع ال + +45 +00:03:30,590 --> 00:03:36,090 +grafting هذا هو autograft graft of transplant from + +46 +00:03:36,090 --> 00:03:39,450 +one area to another of the same individualزي ما + +47 +00:03:39,450 --> 00:03:47,550 +قلنا لكوا ممكن في حالات الحروق في حالات ال on the + +48 +00:03:47,550 --> 00:03:52,330 +same individual ممكن ال graft يتاخد وان ال graft + +49 +00:03:52,330 --> 00:03:56,770 +في هذه الحالة بيعتبر as autologous graft or self + +50 +00:03:56,770 --> 00:04:01,210 +and the immune response will not induced against + +51 +00:04:01,210 --> 00:04:04,850 +itالنوع التاني اللي هو isograft زي ما قلنا بين + +52 +00:04:04,850 --> 00:04:12,430 +between isogenic or genetically identical twins + +53 +00:04:12,430 --> 00:04:20,130 +or individual و it's also not rejected اعتبرها + +54 +00:04:20,130 --> 00:04:27,440 +homozygoticor identical at once وهي طبعا في هذا + +55 +00:04:27,440 --> 00:04:34,180 +الحالة the graft is described as histocompatible + +56 +00:04:34,180 --> 00:04:39,800 +graft and individual نوع التالت اللي هو allograft + +57 +00:04:39,800 --> 00:04:41,920 +اللي هو between different individual of the same + +58 +00:04:41,920 --> 00:04:46,100 +species they have different MSC molecule because + +59 +00:04:46,100 --> 00:04:50,320 +of the MSC is polymorphic among individual طبعا في + +60 +00:04:50,320 --> 00:04:51,340 +هذا الحالة بيكون + +61 +00:04:58,680 --> 00:05:14,740 +الانتشارات الانتشارات الانتشارات الانتشارات + +62 +00:05:14,740 --> 00:05:19,340 +الانتشارات الانتشارات الانتشارات الانتشارات + +63 +00:05:19,340 --> 00:05:20,060 +الانتشارات الانتشارات الانتشارات الانتشارات + +64 +00:05:20,060 --> 00:05:20,080 +الانتشارات الانتشارات الانتشارات الانتشارات + +65 +00:05:20,080 --> 00:05:20,080 +الانتشارات الانتشارات الانتشارات الانتشارات + +66 +00:05:20,080 --> 00:05:20,100 +الانتشارات الانتشارات الانتشارات الانتشارات + +67 +00:05:20,100 --> 00:05:20,100 +الانتشارات الانتشارات الانتشارات الانتشارات + +68 +00:05:20,100 --> 00:05:20,100 +الانتشارات الانتشارات الانتشارات الانتشارات + +69 +00:05:20,100 --> 00:05:20,100 +الانتشارات الانتشارات الانتشارات الانتشارات + +70 +00:05:20,100 --> 00:05:20,420 +الانتشارات الان + +71 +00:05:24,520 --> 00:05:27,780 +الألوغرافت عادةً is rejected within the first two + +72 +00:05:27,780 --> 00:05:33,000 +weeks و بيسموها ال first set rejection في حاجة + +73 +00:05:33,000 --> 00:05:38,400 +اسمها second set rejection بتشير بعد ستة إلى تمان + +74 +00:05:38,400 --> 00:05:43,620 +أيام و هذا بيكون due to specific immunological + +75 +00:05:43,620 --> 00:05:47,360 +memory cell for the antigen expressed by the graft + +76 +00:05:47,360 --> 00:05:51,460 +يعني شافت ال antigen جامل هيك و اتنشطت أو رسلت + +77 +00:05:51,460 --> 00:05:54,910 +عاملة immune responseوتولد عن الـ immune response + +78 +00:05:54,910 --> 00:06:00,170 +memory cell لما عملنا drafting بيصير فيه إيش ال + +79 +00:06:00,170 --> 00:06:06,890 +memory cell well rejected CD4 T cell play crucial + +80 +00:06:06,890 --> 00:06:10,770 +role in rejection فيه نفس الحكاية this can be + +81 +00:06:10,770 --> 00:06:15,030 +proved by transferring these cells كي بنأكد أن CD4 + +82 +00:06:15,030 --> 00:06:19,100 +T cell هي الأساس في الموضوعهي هذه الخلايا لو جينا + +83 +00:06:19,100 --> 00:06:28,360 +و حقنها في ايه ايش؟ حقنها في identical twins or + +84 +00:06:28,360 --> 00:06:33,340 +syngenic recipient وبعد فترة اجينا عملنا له + +85 +00:06:33,340 --> 00:06:39,260 +grafting as the same graft اللي كان معمول في + +86 +00:06:39,260 --> 00:06:44,220 +الانسان اللي صار عنده rejection هلاجي انه ال + +87 +00:06:44,220 --> 00:06:48,430 +rejection second recipient alsowith the same تقال + +88 +00:06:48,430 --> 00:06:54,130 +له graft هيعمل second rejection او set rejection + +89 +00:06:54,130 --> 00:06:57,110 +ايش يعني second set يعني هيصير فيه rejection + +90 +00:06:57,110 --> 00:07:02,910 +earlier than the first rejection اعيدها تاني مرة + +91 +00:07:02,910 --> 00:07:08,370 +تانية واحد صار في عنده ايش rejection first set + +92 +00:07:08,370 --> 00:07:15,490 +rejection بعد أسبوعين سبب في ذلك نشاط لل CD4CD4 هي + +93 +00:07:15,490 --> 00:07:20,490 +الأساس كيف أثبت أنه CD4 هي الأساس لأنه لو أخدناها + +94 +00:07:20,490 --> 00:07:26,670 +و أحقنها في single individual يعني identical twins + +95 +00:07:26,670 --> 00:07:34,430 +و روحنا بعد ما نحقنها روحنا ادينا ال twins هذا + +96 +00:07:34,430 --> 00:07:38,730 +اديناه نفس ال CD4 عملنا له drafting from the same + +97 +00:07:38,730 --> 00:07:42,850 +draft اللي كان في الأولهتلاقي انه صار في second + +98 +00:07:42,850 --> 00:07:48,990 +seed rejection عند ال individual ليش؟ طبعا لان ال + +99 +00:07:48,990 --> 00:07:52,990 +CD4 موجودة بالفعل وبالتالي وكأننا بنعمل ايه؟ + +100 +00:07:52,990 --> 00:07:58,370 +secondary immune response هيكون easier وfaster + +101 +00:07:58,370 --> 00:08:04,350 +وهيكون في rejection اكتر دلوقت ان هذه الخلايا + +102 +00:08:04,350 --> 00:08:11,090 +اتنشطت وهي اللي عملت ال rejectionأي شخص يستطيع + +103 +00:08:11,090 --> 00:08:15,270 +أيضًا أن يشتغل في الانتجارات التشوية في الانتجارات + +104 +00:08:15,270 --> 00:08:19,890 +التشوية في الانتجارات التشوية في الانتجارات + +105 +00:08:19,890 --> 00:08:32,890 +التشوية في الانتجارات التشوية في الانتجارات + +106 +00:08:32,890 --> 00:08:36,490 +التشويةو طبعا هذه الخلايا دليل على ان في دي + +107 +00:08:36,490 --> 00:08:42,130 +دلوقتيب hypersensitivity of OCD4 و OCD8 اشتغلوا و + +108 +00:08:42,130 --> 00:08:46,330 +هم اللي عملوا ال rejection + +109 +00:08:50,240 --> 00:08:54,580 +animal that lack T lymphocyte هذا دليل آخر على أن + +110 +00:08:54,580 --> 00:08:58,540 +تيسل هي الأساس الناس اللي ماعندها مش T lymphocyte + +111 +00:08:58,540 --> 00:09:02,560 +will not reject allograft or even xenograft + +112 +00:09:02,560 --> 00:09:08,000 +process of rejection slow down وقت إيش جالوا إذا + +113 +00:09:08,000 --> 00:09:10,880 +كان استخدمنا منه suppressive drug + +114 +00:09:13,680 --> 00:09:16,620 +Category of allograft rejection قالوا في عندنا تلت + +115 +00:09:16,620 --> 00:09:19,860 +أنواع من ال rejection hyper acute و acute و أقريبا + +116 +00:09:19,860 --> 00:09:23,820 +و chronic طبعا ال hyper acute زي ما انتوا شايفين + +117 +00:09:23,820 --> 00:09:27,680 +it occurs within few minutes to few hours of + +118 +00:09:27,680 --> 00:09:33,120 +transplantation والسبب في ذلك انه transplanted is + +119 +00:09:33,120 --> 00:09:37,420 +distracted by pair formed antibody لمين؟ to + +120 +00:09:37,420 --> 00:09:40,980 +incompatible MSC antigen في already موجودة + +121 +00:09:40,980 --> 00:09:46,880 +antibody جاهزةمن ايش بتعمل؟ بتعمل ايش؟ بتشتغل ضد + +122 +00:09:46,880 --> 00:09:50,960 +الايش؟ لأمشي موليكول اللي دخل from the donor or + +123 +00:09:50,960 --> 00:09:53,560 +even sometime to carbohydrate expressed on + +124 +00:09:53,560 --> 00:09:57,920 +transplanted tissue وبالتالي على طول بيصير فيه ايش + +125 +00:09:57,920 --> 00:10:02,500 +rejection طبعا ان ال antibody هذي جاية يالو it can + +126 +00:10:02,500 --> 00:10:06,400 +be present from or results from previous + +127 +00:10:06,400 --> 00:10:11,350 +transplantation او blood transfusionOr Multiple + +128 +00:10:11,350 --> 00:10:16,190 +Pregnancy تلاقي فيه كل مرة بيتكون Antibody For + +129 +00:10:16,190 --> 00:10:18,790 +Foreign Antigen وبالتالي بيصير فيه Multiple + +130 +00:10:18,790 --> 00:10:26,130 +Antibody عند الست الحامل وهذه ممكن لو عملنا لها + +131 +00:10:26,130 --> 00:10:30,090 +transplantation تعمل rejection طب عند هذه + +132 +00:10:30,090 --> 00:10:33,170 +الانتبادي انتبادي are called cytotoxic antibody + +133 +00:10:33,170 --> 00:10:37,050 +and that can activate complement على المطرح ومش بس + +134 +00:10:37,050 --> 00:10:40,760 +تعمل platelet activation يعني فيه جلطةو + +135 +00:10:40,760 --> 00:10:44,320 +Interstitial Hemorrhage in transplanted tissue + +136 +00:10:44,320 --> 00:10:49,520 +which decreased blood flow in it يعني شو اللي + +137 +00:10:49,520 --> 00:10:52,660 +بيصير بيصير جلطة وبعد الجلطة بيصير تفحق وبتصير + +138 +00:10:52,660 --> 00:10:58,420 +نزير وبالإضافة لإنه في distraction للإيش لل + +139 +00:10:58,420 --> 00:11:04,640 +transplanted tissue المحصلة تدر كلام infraction or + +140 +00:11:04,640 --> 00:11:07,720 +tissue damage وبالتالي بيصير في decrease in blood + +141 +00:11:07,720 --> 00:11:12,020 +flow في هذه المنطقةو كما تشاهدون، الـ Cell + +142 +00:11:12,020 --> 00:11:14,320 +-mediated immunity لها ليس لها أي دور في الـ + +143 +00:11:14,320 --> 00:11:18,200 +Hyperacute Rejection كلها اللي بيحكي عبارة عن + +144 +00:11:18,200 --> 00:11:22,420 +Antibody Sitotoxic Antibody Only Present to the + +145 +00:11:22,420 --> 00:11:28,340 +transplanted tissue الـ + +146 +00:11:28,340 --> 00:11:29,420 +Acute Rejection + +147 +00:11:33,290 --> 00:11:37,410 +تحدث في مستخدم لم يكن قبل ذلك يكون مرتبط + +148 +00:11:37,410 --> 00:11:41,130 +بالترانسبلانت ما شافش الترانسبلانت قبل هيكو بتالي + +149 +00:11:41,130 --> 00:11:44,950 +هو ليس مرتبط بذلك شو اللي بيصير؟ قالوا تيلينفوسييت + +150 +00:11:44,950 --> 00:11:48,890 +بتتنشط if the rejection is due to T cell + +151 +00:11:48,890 --> 00:11:53,210 +activation و it can be activation either by direct + +152 +00:11:53,210 --> 00:11:57,230 +recognition to the alloantigen or indirectly نحن + +153 +00:11:57,230 --> 00:12:02,100 +شوفوا transplant tissue is mismatchوانتقر انتقر + +154 +00:12:02,100 --> 00:12:03,120 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +155 +00:12:03,120 --> 00:12:08,440 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +156 +00:12:08,440 --> 00:12:11,160 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +157 +00:12:11,160 --> 00:12:12,000 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +158 +00:12:12,000 --> 00:12:12,000 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +159 +00:12:12,000 --> 00:12:12,280 +انتقر انتقر انتقر انتقر انتقر انتقر انتقر انتقر + +160 +00:12:12,280 --> 00:12:14,540 +انتقر انتقر انتقر انتقر انتقر انتقCell-mediated + +161 +00:12:14,540 --> 00:12:17,900 +immunities manifested by intense infiltration of + +162 +00:12:17,900 --> 00:12:21,600 +lymphocyte and macrophage طبعا هنحكي على cell + +163 +00:12:21,600 --> 00:12:24,580 +-mediated immunity طبعا فهنا نشط فيها ال + +164 +00:12:24,580 --> 00:12:28,800 +macrophage مين نشطها ال T-lymphocytes بعد ما تقدم + +165 +00:12:28,800 --> 00:12:34,320 +إليها ال antigen and it can be recognized by T + +166 +00:12:34,320 --> 00:12:37,560 +-lymphocytes easily يوم يتقدم by antigen + +167 +00:12:37,560 --> 00:12:44,610 +presenting cell فبتنشط ال macrophageوبالتالي تصبح + +168 +00:12:44,610 --> 00:12:52,310 +هناك destruction لا تشهر كما تشاهدون في الاخيرة + +169 +00:12:52,310 --> 00:12:57,650 +الانتجار المينو سابرسانترابي أو مينو سابرسانترابي + +170 +00:12:57,650 --> 00:13:06,710 +يمكن أن يتأخذ الاتجار الانتجار الانتجار الانتجار + +171 +00:13:06,710 --> 00:13:09,790 +الانتجار الانتجار الانتجار الانتجار الانتجار + +172 +00:13:09,790 --> 00:13:11,090 +الانتجار الانتجار الانتجار الانتجار الانتجار + +173 +00:13:11,090 --> 00:13:15,600 +الانتجار الانتجار الانتجاربعد أشهر + +174 +00:13:15,600 --> 00:13:23,200 +طويلة و مرات سنوات طويلة لإنشاء + +175 +00:13:23,200 --> 00:13:25,520 +عملية عملية عملية عملية عملية عملية عملية عملية + +176 +00:13:25,520 --> 00:13:26,020 +عملية عملية عملية عملية عملية عملية عملية عملية + +177 +00:13:26,020 --> 00:13:26,020 +عملية عملية عملية عملية عملية عملية عملية عملية + +178 +00:13:26,020 --> 00:13:29,640 +عملية عملية عملية عملية عملية عملية + +179 +00:13:29,640 --> 00:13:32,380 +عملية عملية عملية عملية عملية عملية عملية عملية + +180 +00:13:32,380 --> 00:13:32,380 +عملية عملية عملية عملية عملية عملية عملية عملية + +181 +00:13:32,380 --> 00:13:32,380 +عملية عملية عملية عملية عملية عملية عملية عملية + +182 +00:13:32,380 --> 00:13:32,380 +عملية عملية عملية عملية عملية عملية عملية عملية + +183 +00:13:32,380 --> 00:13:42,120 +عملية عملية عملية عمل + +184 +00:13:42,270 --> 00:13:45,750 +is characterized by slow progressive loss of + +185 +00:13:45,750 --> 00:13:49,070 +function يعني في الآخر بيصير فيه infarct in the + +186 +00:13:49,070 --> 00:13:54,630 +organ role + +187 +00:13:54,630 --> 00:13:57,750 +of MRC molecule انقل له graft reduction خلينا + +188 +00:13:57,750 --> 00:14:06,570 +نتعرف شوية على الميكانيزمات قالوا شو + +189 +00:14:06,570 --> 00:14:09,070 +بيبصير؟ قالوا transplantation + +190 +00:14:10,990 --> 00:14:16,150 +انتجن او MHC انتجن بيصير لها rejection لأن الجهاز + +191 +00:14:16,150 --> 00:14:21,090 +اللي منها اتنشط و ال MHC molecule has been + +192 +00:14:21,090 --> 00:14:27,910 +recognized and these are cell surface proteins و + +193 +00:14:27,910 --> 00:14:31,570 +كنا بنعرف ان كل خلايا جسم الإنسان على سطحها MHC + +194 +00:14:31,570 --> 00:14:35,710 +class واحد molecule بينما MHC class 2 موجودة على + +195 +00:14:35,710 --> 00:14:39,140 +ال professional antigen presenting cellوبالتالي + +196 +00:14:39,140 --> 00:14:43,260 +الـ immune response is directed will be directed + +197 +00:14:43,260 --> 00:14:49,240 +predominantly لمين؟ لل MSG class 1 موليكيول واللي + +198 +00:14:49,240 --> 00:14:52,220 +موجودة على كل خلايا جسم الإنسان بما فيها ال + +199 +00:14:52,220 --> 00:15:01,230 +grafted tissue الفرن MSG molecule activateعدد هائل + +200 +00:15:01,230 --> 00:15:05,470 +من الـ T lymphocyte clone في الـ Recipient ويقدروا + +201 +00:15:05,470 --> 00:15:10,190 +عددها لـ 5% من كل الـ T lymphocyte clone الموجودة + +202 +00:15:10,190 --> 00:15:15,550 +في جسم الـ Recipient و .. ال .. طبعا ال + +203 +00:15:15,550 --> 00:15:24,050 +combination of non-self MSC molecule مع ال .. + +204 +00:15:24,050 --> 00:15:29,500 +بيبتايد اللي هو Antigenic peptideهيتفاعلوا مع الـ + +205 +00:15:29,500 --> 00:15:33,580 +TCR expressed on many different T-cell clone + +206 +00:15:33,580 --> 00:15:39,460 +بتتنشط الـ T-lymphocyte و هتفرزلنا اللي هو الـ + +207 +00:15:39,460 --> 00:15:44,800 +cytotoxic أو ال certain cytokine can be secreted + +208 +00:15:44,800 --> 00:15:50,380 +من اللي هو CD4 T-cell وهذه بتنشطنا ال cytotoxic T + +209 +00:15:50,380 --> 00:15:56,220 +-cell اللي هتبدأ تهاجم ال foreign tissue mechanism + +210 +00:15:58,600 --> 00:16:01,880 +of recognition جاله فيها two mechanism of + +211 +00:16:01,880 --> 00:16:06,000 +recognition either direct or indirect اللي هو + +212 +00:16:06,000 --> 00:16:09,480 +recognition ال direct recognition اللي هو + +213 +00:16:09,480 --> 00:16:10,660 +recognition اللي هو recognition اللي هو + +214 +00:16:10,660 --> 00:16:11,240 +recognition ال direct recognition اللي هو + +215 +00:16:11,240 --> 00:16:11,240 +recognition ال direct recognition اللي هو + +216 +00:16:11,240 --> 00:16:11,240 +recognition ال direct recognition اللي هو + +217 +00:16:11,240 --> 00:16:12,280 +recognition ال direct recognition اللي هو + +218 +00:16:12,280 --> 00:16:12,780 +recognition ال direct recognition اللي هو + +219 +00:16:12,780 --> 00:16:12,980 +recognition ال direct recognition اللي هو + +220 +00:16:12,980 --> 00:16:13,340 +recognition ال direct recognition اللي هو + +221 +00:16:13,340 --> 00:16:17,100 +recognition ال direct recognition اللي هو + +222 +00:16:17,100 --> 00:16:18,200 +recognition ال direct recognition اللي هو + +223 +00:16:18,200 --> 00:16:18,360 +recognition ال direct recognition اللي هو + +224 +00:16:18,360 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +225 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +226 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +227 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +228 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +229 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +230 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +231 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +232 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +233 +00:16:19,420 --> 00:16:19,420 +recognition ال direct recognition اللي هو + +234 +00:16:19,420 --> 00:16:19,420 +recognition اللي هو recognition اللي هو + +235 +00:16:19,420 --> 00:16:19,420 +recognition اللي هو recognition اللي هو + +236 +00:16:19,420 --> 00:16:19,420 +recognition اللي هو recognition اللي هو + +237 +00:16:19,420 --> 00:16:19,420 +recognition اللي هو recognition اللي هو + +238 +00:16:19,420 --> 00:16:19,420 +recognition اللي هو recognition اللي هو + +239 +00:16:19,420 --> 00:16:19,660 +recognition اللي هو recognition اللي هو + +240 +00:16:19,660 --> 00:16:24,540 +recognition اللي + +241 +00:16:25,460 --> 00:16:28,960 +و ال donor cell في هذه الحالة بتلعب دور كبير ك + +242 +00:16:28,960 --> 00:16:33,760 +antigen presenting cell يعني دخلت خلايا غريبة على + +243 +00:16:33,760 --> 00:16:40,340 +سطحها أمشي غريب هي نفسها اتعرفت عليها telephosite + +244 +00:16:40,340 --> 00:16:44,990 +of the hostو اعتبرتها antigen presenting cell + +245 +00:16:44,990 --> 00:16:55,650 +وتعرفت على ال foreign antigen ال indirect بطريقة + +246 +00:16:55,650 --> 00:17:02,270 +اندرتها بطريقة + +247 +00:17:02,270 --> 00:17:05,270 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +248 +00:17:05,270 --> 00:17:06,030 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +249 +00:17:06,030 --> 00:17:06,030 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +250 +00:17:06,030 --> 00:17:06,030 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +251 +00:17:06,030 --> 00:17:06,030 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +252 +00:17:06,030 --> 00:17:06,050 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة + +253 +00:17:06,050 --> 00:17:09,150 +اندرتها بطريقة اندرتها بطريقة اندرتها بطريقة ان + +254 +00:17:09,420 --> 00:17:16,040 +بتعمل بتاع ال host cell يعني host cell بتاع ال + +255 +00:17:16,040 --> 00:17:23,760 +host بتتعرف على ال donor antigen وبتاخده وبتعمله + +256 +00:17:23,760 --> 00:17:28,780 +processing وبتقدم لها ال host cell يبقى حالتين + +257 +00:17:28,780 --> 00:17:33,680 +direct و indirect ال direct donor cell هي نفسها + +258 +00:17:33,680 --> 00:17:37,400 +بتعتبر ك antigen presenting cell بتقدم ال antigen + +259 +00:17:37,400 --> 00:17:41,710 +لها ال hostاللي هو Recipient T-Lymphocytes + +260 +00:17:41,710 --> 00:17:44,110 +وبالتالي اللي بيصير فيه Recognition Direct + +261 +00:17:44,110 --> 00:17:49,730 +Recognition و Indirect انه الله ال tissue The + +262 +00:17:49,730 --> 00:17:55,010 +grafted tissue or donor derived cellular peptide + +263 +00:17:55,010 --> 00:17:59,910 +اللي طالع من الpeptide هي نفسها بتتعرف عليها اللي + +264 +00:17:59,910 --> 00:18:02,290 +هو host antigen presenting cell أو ال recipient + +265 +00:18:02,290 --> 00:18:08,190 +وبتقدمها لل T-Lymphocyte تحت ال recipient أكتروهذه + +266 +00:18:08,190 --> 00:18:14,770 +هما الطريقتين ايه في ال direct نفس الخلية هذا هي + +267 +00:18:14,770 --> 00:18:17,530 +donor antigen presenting cell قدمت ال antigen + +268 +00:18:17,530 --> 00:18:22,770 +مباشرة لمن؟ ل T lymphocyte وفي ال indirect لأ + +269 +00:18:22,770 --> 00:18:26,090 +والله هنا ال recipient antigen presenting cell + +270 +00:18:26,090 --> 00:18:29,410 +تعرفت على ال antigen أخدته وعملت له processing + +271 +00:18:29,410 --> 00:18:32,590 +وقدمته لمن؟ لل host cell + +272 +00:18:38,100 --> 00:18:44,600 +ماذا حصل بعد اكتفاش تلينفوسيت لينج والسايتوكين + +273 +00:18:44,600 --> 00:18:49,000 +بتطلع منها في الالو جرافت ريجيكشن قالوا اكتفاش + +274 +00:18:49,000 --> 00:18:57,840 +تسيل بنشتلاللي هو Allo-specific CD4 و CD8-cell + +275 +00:18:57,840 --> 00:19:04,920 +الجمانية النشط هو CD4 و CD8 تيلينفوسايت اوف اللي + +276 +00:19:04,920 --> 00:19:08,420 +هو Allo + +277 +00:19:15,430 --> 00:19:19,870 +أشهر الـ cytokine بتطلع عيلة و interferon alpha و + +278 +00:19:19,870 --> 00:19:24,690 +beta و gamma و human necrosis factor alpha و beta + +279 +00:19:24,690 --> 00:19:31,200 +وشوفوا دور كل واحد منهم الآنجالو IL-2 هو عبارة عن + +280 +00:19:31,200 --> 00:19:34,620 +سايتو كائن مهم in T-cell proliferation and + +281 +00:19:34,620 --> 00:19:38,180 +differentiation لمين بيعمل differentiation و + +282 +00:19:38,180 --> 00:19:41,920 +proliferation لـ cytotoxic و لـ T-Helper cell يعني + +283 +00:19:41,920 --> 00:19:45,400 +بتتنشط T-Helper cell اللي بتنشط ال cytotoxic T + +284 +00:19:45,400 --> 00:19:50,620 +-lymphocytes وبالتالي كمان delayed type + +285 +00:19:50,620 --> 00:19:53,580 +hypersensitivity reaction is associated with + +286 +00:19:53,580 --> 00:19:54,440 +allergic reaction + +287 +00:19:56,980 --> 00:20:01,480 +مية المية تهي البرسيل تتنشط لأنه اتقدم اتعرفت على + +288 +00:20:01,480 --> 00:20:05,120 +انتجين غريب وبالتالي نشطات الناس هيتو توكسيك تهي + +289 +00:20:05,120 --> 00:20:08,840 +الانفسايد وعملت delay type of sensitivity reaction + +290 +00:20:08,840 --> 00:20:14,680 +اللي قدت الى the graft rejection طيب هذا بالنسبة + +291 +00:20:14,680 --> 00:20:18,480 +لآيالته جامع انترفيرون شو بيعمل؟ بيقولوا مهم جدا + +292 +00:20:18,480 --> 00:20:22,870 +in activation macrophageوبالتالي شو بتعمل؟ جاري + +293 +00:20:22,870 --> 00:20:26,070 +المكروفيش بتهاجر، it's recruited، it's migrated + +294 +00:20:26,070 --> 00:20:30,070 +لمين؟ to the grafted area و هناك بتعمل tissue + +295 +00:20:30,070 --> 00:20:35,750 +damage ال tumor recross factor بيتا، هذا عبارة عن + +296 +00:20:35,750 --> 00:20:41,450 +cytotoxic to the cells، اي cells اللي موجودة في ال + +297 +00:20:41,450 --> 00:20:48,120 +graftالان الانترفيرون Alpha وBeta وTumor Necrosis + +298 +00:20:48,120 --> 00:20:52,340 +Factor Beta وTumor Necrosis Factor Alpha هدول مش + +299 +00:20:52,340 --> 00:20:54,760 +بيعملوا بيزودوا ال expression of MFC Class I + +300 +00:20:54,760 --> 00:20:58,860 +مليكيول بينما الجامعة انترفيرون بتزود ال + +301 +00:20:58,860 --> 00:21:04,840 +expression of Class II مليكيول وين على سطح الهوصل + +302 +00:21:04,840 --> 00:21:09,690 +وعلى سطح الاليوجرافتوشو بتعمل بذال ال expression + +303 +00:21:09,690 --> 00:21:14,090 +of MHC molecule زاد معناته ال effectiveness of + +304 +00:21:14,090 --> 00:21:18,050 +antigen recognition و ال enhancement of the graft + +305 +00:21:18,050 --> 00:21:22,370 +rejection will be increased طبعا تعتمد على ال + +306 +00:21:22,370 --> 00:21:25,150 +micro environment في ال peripheral lymphoid organs + +307 +00:21:25,150 --> 00:21:31,170 +يعني ال CD4 helper CD4 T cell can differentiate + +308 +00:21:31,170 --> 00:21:36,350 +into different types of effector cellوطبعا تدينا + +309 +00:21:36,350 --> 00:21:41,710 +different types of immune responses فتشوفوا إيش + +310 +00:21:41,710 --> 00:21:47,110 +بصير كانوا في وجود IL-12 اللي بتتنشط ديه البر واحد + +311 +00:21:47,110 --> 00:21:52,970 +وهذه حصلتها إفراز Gamma Interferon اللي بتنشط انها + +312 +00:21:52,970 --> 00:21:57,790 +Macrophage وبتكون ال delayed type hypersensitivity + +313 +00:21:57,790 --> 00:22:04,940 +وفي وجود IL-4 دي البرتوكي اللي بتتنشط وبتطلعالـ IL + +314 +00:22:04,940 --> 00:22:11,060 +-5 اللي بنشط النائزينوفيليك يعني population وبيعمل + +315 +00:22:11,060 --> 00:22:15,560 +rejection وفي وجود الـ Transforming Growth Factor + +316 +00:22:15,560 --> 00:22:24,240 +Beta IL-6 و IL-23 هم اللي بيطلعوا قالوا الـ T4-17 + +317 +00:22:24,240 --> 00:22:29,400 +هي اللي بتتنشط و can activate neutrophilic + +318 +00:22:29,400 --> 00:22:32,900 +rejection أما في وجود الـ Transforming Growth + +319 +00:22:32,900 --> 00:22:40,620 +Factor Beta لحالهT-rig هي اللي بتتنشط وبتعمل + +320 +00:22:40,620 --> 00:22:43,600 +انهيبش لكل ال immune response activity وبالتالي + +321 +00:22:43,600 --> 00:22:49,320 +بيصير فيه promotion لل Allograft acceptance by + +322 +00:22:49,320 --> 00:22:52,600 +multiple mechanism مش rejection بتعمل إيهاش + +323 +00:22:52,600 --> 00:22:56,420 +acceptance يبقى فيه different إيهاش different + +324 +00:22:56,420 --> 00:23:00,420 +immune response بتصير according to the different + +325 +00:23:00,420 --> 00:23:07,150 +environmentPresence في منطقة الاش ال rejection و + +326 +00:23:07,150 --> 00:23:14,150 +كما تشاهدون نفس الفيجورة التي تواحقناها I L 12 + +327 +00:23:14,150 --> 00:23:21,090 +نشطت لنا I L 12 نشطت لنا البر واحد اللي طلعت جامعة + +328 +00:23:21,090 --> 00:23:26,270 +انترفيلو نشطت مكروفيش I L 4 في وجود I L 4 البرتوت + +329 +00:23:26,270 --> 00:23:27,970 +نشطت وطلعت I L 5 + +330 +00:23:36,530 --> 00:23:40,830 +بتنشط تيهيلبر 17 بتطلع نهائي ال 17 وبيعمل + +331 +00:23:40,830 --> 00:23:47,270 +نيوترافليك ريجيكشن وتنشط + +332 +00:23:47,270 --> 00:23:48,570 +تيهيلبر 13 تنشط تيهيلبر 13 تنشط تيهيلبر 13 تنشط + +333 +00:23:48,570 --> 00:23:50,250 +تيهيلبر 13 تنشط تيهيلبر 13 تنشط تيهيلبر 13 تنشط + +334 +00:23:50,250 --> 00:23:52,210 +تيهيلبر 13 تنشط تيهيلبر 13 تنشط تيهيلبر 13 تنشط + +335 +00:23:52,210 --> 00:23:52,210 +تيهيلبر 13 تنشط تيهيلبر 13 تنشط تيهيلبر 13 تنشط + +336 +00:23:52,210 --> 00:23:52,670 +تيهيلبر 13 تنشط تيهيلبر 13 تنشط تيهيلبر 13 تنشط + +337 +00:23:52,670 --> 00:23:57,570 +تيهيلبر 13 تنشط تيهيلبر 13 تنشط تيهيلبر 13 تنشط ت + +338 +00:24:01,280 --> 00:24:09,100 +ما هي الفعوصات التي تجرر لـ Tissue Typing؟ يتعرف + +339 +00:24:09,100 --> 00:24:13,180 +على الـ MHC موليكيول على سطح الدونار مجموعة مقاومة + +340 +00:24:13,180 --> 00:24:17,760 +أو ما يسمى بالـ cross-matching هي تفعلها لتخلص من + +341 +00:24:17,760 --> 00:24:20,620 +فرصة الـ graft rejection يسمون هذه الحكاية + +342 +00:24:20,620 --> 00:24:27,700 +Minophenotyping أو Phenotyping Tissue Typing تتجرر + +343 +00:24:27,700 --> 00:24:35,570 +لتحديث الـهذه التحديدات بتحديد درجة الفرنس بين + +344 +00:24:35,570 --> 00:24:39,050 +الاثنين الاثنين اثنين اثنين اثنين اثنين اثنين + +345 +00:24:39,050 --> 00:24:40,590 +اثنين اثنين اثنين اثنين اثنين اثنين اثنين اثنين + +346 +00:24:40,590 --> 00:24:41,510 +اثنين اثنين اثنين اثنين اثنين اثنين اثنين اثنين + +347 +00:24:41,510 --> 00:24:41,770 +اثنين اثنين اثنين اثنين اثنين اثنين اثنين اثنين + +348 +00:24:41,770 --> 00:24:41,770 +اثنين اثنين اثنين اثنين اثنين اثنين اثنين اثنين + +349 +00:24:41,770 --> 00:24:48,650 +اثنين اثنين اثنين اثنين اثنين اثنين اثنين + +350 +00:24:48,650 --> 00:24:56,550 +اثنين اثنين اثنين اثنين اثن + +351 +00:24:56,900 --> 00:25:01,580 +و تبدأ تحديد + +352 +00:25:01,580 --> 00:25:06,800 +الانتجين الموجود على الخلايا الـ positive reaction + +353 +00:25:06,800 --> 00:25:10,880 +حيكون في موجود ال HLA-A واللي ماصارش فيها reaction + +354 +00:25:10,880 --> 00:25:15,580 +حيكون فيه negative للـ HLA-A طبعا ال antisera ممكن + +355 +00:25:15,580 --> 00:25:21,250 +تجيبها من أكتر من مكانمن ضمنها الاشخاص اللي كان + +356 +00:25:21,250 --> 00:25:27,190 +لديه مرتبطات مرتبطات كثيرة + +357 +00:25:27,190 --> 00:25:30,870 +او مرتبطات او مرتبطات او مرتبطات او مرتبطات او + +358 +00:25:30,870 --> 00:25:30,930 +مرتبطات او مرتبطات او مرتبطات او مرتبطات او + +359 +00:25:30,930 --> 00:25:30,930 +مرتبطات او مرتبطات او مرتبطات او مرتبطات او + +360 +00:25:30,930 --> 00:25:32,110 +مرتبطات او مرتبطات او مرتبطات او مرتبطات او + +361 +00:25:32,110 --> 00:25:34,910 +مرتبطات او مرتبطات او مرتبطات او مرتبطات او + +362 +00:25:34,910 --> 00:25:38,350 +مرتبطات او مرتبطات او مرتبطات او مرتبطات او + +363 +00:25:38,350 --> 00:25:39,950 +مرتبطات او مرتبطات او مرتبطات او مرتبطات ا + +364 +00:25:47,330 --> 00:25:51,970 +can be used for this purpose إذا بدك إياه + +365 +00:25:51,970 --> 00:25:56,610 +automated يعني أو بدك إياه quantitative + +366 +00:25:56,610 --> 00:26:01,870 +lymphocytic toxicity هو عبارة عن فحص تاني أيضا + +367 +00:26:01,870 --> 00:26:05,830 +مستخدم فيه antibody specific MHC molecule antibody + +368 +00:26:05,830 --> 00:26:12,210 +في وجود ال complement طبعا complement مع antibody + +369 +00:26:12,210 --> 00:26:18,760 +ال antibody will fix the complementوبالتالي هيعمل + +370 +00:26:18,760 --> 00:26:22,580 +damage لل target cell which are في هذه الحالة ال + +371 +00:26:22,580 --> 00:26:28,360 +lymphocytes فإذا حصل فيه damage بدو يكون فيه + +372 +00:26:28,360 --> 00:26:31,340 +reaction ماحصلش فيه damage بدو يكون فيه reaction + +373 +00:26:31,340 --> 00:26:36,000 +ماشي؟ اللي شو اللي بيصير ان ال lymphocyte of donor + +374 +00:26:36,000 --> 00:26:40,180 +and recipient هم اللي نفسهم بنعملهم مع panel of + +375 +00:26:40,180 --> 00:26:44,720 +antibody فيه دول اللي هو يعيش اللي هو ال + +376 +00:26:44,720 --> 00:26:45,500 +complement + +377 +00:26:49,160 --> 00:26:53,120 +زي ما قلت ال code كوملة ما هتحطيهاش و هتنشط لنا + +378 +00:26:53,120 --> 00:26:58,800 +اللي هو هتتنشط لأنه في وجود antibody هي بسلع نشاط + +379 +00:26:58,800 --> 00:27:01,980 +و بتكون لها ال memory نقطة complex that will + +380 +00:27:01,980 --> 00:27:05,300 +damage ال target cell وبالتالي إذا صار damaged + +381 +00:27:05,300 --> 00:27:08,400 +المعنى تغطى طبعا كنا نعرف إنه صار damaged و لو + +382 +00:27:08,400 --> 00:27:12,060 +ماصارش damaged نسموه الخلايا اللي بتاخد الصبغة + +383 +00:27:12,060 --> 00:27:15,020 +بتكون حية و اللي ما بتاخد الصبغة بتكون ميتة + +384 +00:27:20,200 --> 00:27:28,400 +الاسلوب الآخر أو ال area الأخرى اللى بنفحص + +385 +00:27:28,400 --> 00:27:31,320 +فيها ال MSC molecule هو by using molecular + +386 +00:27:31,320 --> 00:27:39,820 +technique and PCR is في مصرمعتقدته mixed leukocyte + +387 +00:27:39,820 --> 00:27:46,260 +reaction ماهي اللي بيصير جاله بنحط ال leukocyte of + +388 +00:27:46,260 --> 00:27:49,600 +ال donor و ال recipient مع بعض و بنعملهم culture + +389 +00:27:49,600 --> 00:27:54,920 +for several days طبعا ال donor T cell respond to + +390 +00:27:54,920 --> 00:27:59,540 +اللو MHC مليكيول تتنشط او expressed on the + +391 +00:27:59,540 --> 00:27:59,940 +recipient + +392 +00:28:04,920 --> 00:28:08,400 +سيتفرذ السيتوكاين وسيقوم السيتوكاين بإدخال الـ + +393 +00:28:08,400 --> 00:28:15,060 +proliferation القياس للـ proliferation هو من يحدد + +394 +00:28:15,060 --> 00:28:21,460 +طبعا إذا كان فيه reaction positive أو reaction + +395 +00:28:21,460 --> 00:28:24,140 +negative ويمكن أن يتم مجرده بسهولة من خلال تسجيل + +396 +00:28:24,140 --> 00:28:26,880 +الراديو إلى مجال التعليم + +397 +00:28:30,400 --> 00:28:34,840 +طبعا هنا حالات of mixed lymphocyte reaction + +398 +00:28:34,840 --> 00:28:38,060 +associated with different transplantation + +399 +00:28:38,060 --> 00:28:42,700 +situation طبعا مجموعة مختلفة واش بيصير في كل حالة + +400 +00:28:43,270 --> 00:28:47,870 +وطبعا زي ما انتوا شايفين مثال الاول tissue between + +401 +00:28:47,870 --> 00:28:52,570 +identical twins العلاقة they are syngenic عملنا + +402 +00:28:52,570 --> 00:28:55,830 +لهم اشي قالوا لأ no treatment for the cells + +403 +00:28:55,830 --> 00:29:00,570 +وبالتالي ال mix lymphocyte reaction will be + +404 +00:29:00,570 --> 00:29:05,290 +negative مافيش تفاعل يعني no proliferation ماشي + +405 +00:29:05,290 --> 00:29:09,650 +فالتاني نفس الحكاية tissue between non related + +406 +00:29:09,650 --> 00:29:13,380 +donor and recipientمعناه لا شيء لكن فيه reaction + +407 +00:29:13,380 --> 00:29:18,600 +لماذا؟ لأنه صار فيه recognition لforeign MHC + +408 +00:29:18,600 --> 00:29:22,740 +molecule من خلال host أو donor cell وبالتالي صار + +409 +00:29:22,740 --> 00:29:27,940 +فيه proliferative capacity التالت tissue between + +410 +00:29:27,940 --> 00:29:32,920 +unrelated donor and recipient شو عملوا؟ قالوا طبعا + +411 +00:29:32,920 --> 00:29:36,860 +actually is different وبالتالي بتعتبر ألوجينيك طب + +412 +00:29:36,860 --> 00:29:44,070 +إيه شو عملوا؟ قالوا donor cellعاملوها ماشي mitotic + +413 +00:29:44,070 --> 00:29:50,630 +inhibitor يعني سكتوها يعني بداش ياكيش تتنشطي + +414 +00:29:50,630 --> 00:29:54,930 +طب هاش مجبوض هاش بيعني بيبقى يعني لإنه نستخدم ال + +415 +00:29:54,930 --> 00:29:57,750 +antigen تبعها طب مين اللي بده يتنشط دلوقت ال + +416 +00:29:57,750 --> 00:30:00,670 +recipient cell هي اللي هتتنشط في هذه الحالة + +417 +00:30:00,670 --> 00:30:05,350 +فبالتالي هو one way mixed lymphocyte reactionمن + +418 +00:30:05,350 --> 00:30:09,510 +اتنشط في هذه الحالة ال donor cell او ال recipient + +419 +00:30:09,510 --> 00:30:16,270 +cell طبعا في الحالة الرقم 4 العكس صحيح احنا وقفنا + +420 +00:30:16,270 --> 00:30:20,290 +ال recipient cell ونشطنا ال donor cell + +421 +00:30:20,290 --> 00:30:23,390 +prolongation + +422 +00:30:23,390 --> 00:30:28,190 +of allograft survival can be achieved by + +423 +00:30:28,190 --> 00:30:32,790 +immunosuppressive therapyفالـ Immunosuppressive + +424 +00:30:32,790 --> 00:30:36,590 +Therapy ماذا بتعمل؟ جالو تطور الاسم الاسم الاسم + +425 +00:30:36,590 --> 00:30:38,150 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +426 +00:30:38,150 --> 00:30:39,270 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +427 +00:30:39,270 --> 00:30:40,750 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +428 +00:30:40,750 --> 00:30:42,630 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +429 +00:30:42,630 --> 00:30:43,610 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +430 +00:30:43,610 --> 00:30:43,850 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +431 +00:30:43,850 --> 00:30:43,850 +الاسم الاسم الاسم الاسم الاسم الاسم الاسم الاسم + +432 +00:30:43,850 --> 00:30:49,590 +الاسم الاسم الاسم الاسم الاسم + +433 +00:30:49,590 --> 00:30:56,990 +الاسم الاسم + +434 +00:30:56,990 --> 00:31:00,990 +الجاله عبارة عن combination of synergistic + +435 +00:31:00,990 --> 00:31:07,190 +immunosuppressive drug تنين تنين بتساعده شو + +436 +00:31:07,190 --> 00:31:09,750 +بيعملوا؟ جالو they interfere with the immune + +437 +00:31:09,750 --> 00:31:14,550 +response mechanism زي ايش؟ زي ال T cell activation + +438 +00:31:14,550 --> 00:31:22,750 +drug doses are lower than the induction therapy زي + +439 +00:31:22,750 --> 00:31:27,290 +اقل من اللي فوقلتسمح لشركة الانتجار الاساسي لتعمل + +440 +00:31:27,290 --> 00:31:30,910 +على مستوى عالي وبالتالي تقلل الانسدانس للإنفاقات + +441 +00:31:30,910 --> 00:31:35,910 +الوارتشونيستيكية ماشي بقى في حاجة اسمها induction + +442 +00:31:35,910 --> 00:31:38,790 +therapy وفي حاجة اسمها maintenance therapy ال + +443 +00:31:38,790 --> 00:31:41,330 +induction therapy بتبقى تجارب ال transplantation + +444 +00:31:41,330 --> 00:31:46,870 +فترة ال maintenance therapy two drugs or more they + +445 +00:31:46,870 --> 00:31:50,470 +are synergistic امينو سابرس ال drug الاتنين + +446 +00:31:50,470 --> 00:31:54,800 +بيشتغلوا على التيليفوسايت بيقللوا او بيبطؤواهي + +447 +00:31:54,800 --> 00:32:01,620 +تخلص تجارب الإيميون وبالتالي تقلل تجارب الإنفكشن + +448 +00:32:01,620 --> 00:32:10,620 +في بعض الحالات + +449 +00:32:10,620 --> 00:32:16,440 +يتم إعطاء تجارب تجارب تجارب تجارب تجارب تجارب + +450 +00:32:16,440 --> 00:32:18,840 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +451 +00:32:18,840 --> 00:32:18,840 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +452 +00:32:18,840 --> 00:32:18,900 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +453 +00:32:18,900 --> 00:32:18,980 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +454 +00:32:18,980 --> 00:32:21,510 +تجارب تجارب تجارب تجارب تجارب تجارب تجالتي تستخدم + +455 +00:32:21,510 --> 00:32:25,510 +في مستوى مشابه للذلك في مستوى الاندوكشن ثيرابي + +456 +00:32:25,510 --> 00:32:30,830 +منها على سبيل المثال الكورتيكوستيرويد انتي + +457 +00:32:30,830 --> 00:32:35,610 +انفلاماتوري اي جنس او مثال على ذلك كورتيكوستيرويد + +458 +00:32:35,610 --> 00:32:41,110 +او بردنزولون او مثال بردنزولون كل عبارة عن اسماء + +459 +00:32:41,110 --> 00:32:46,590 +لنفس المركبماذا فعل الكورتيكوستيرويدز؟ قالوا انه + +460 +00:32:46,590 --> 00:32:49,210 +سيقوم بتحريك الهوارانيمينو سابريس الهوارانيمينو + +461 +00:32:49,210 --> 00:32:56,290 +سابريس الهوارانيمينو + +462 +00:32:59,020 --> 00:33:02,340 +الجينات هذه بتشترك انها تقوم بتشترك انفلاماتوري + +463 +00:33:02,340 --> 00:33:07,680 +سايتوكاين منها ال I L 1 و 2 و 3 و 4 و 5 و 8 Human + +464 +00:33:07,680 --> 00:33:14,080 +Necrosis Factor Alpha GM CSF بنوقف الجينات اللي + +465 +00:33:14,080 --> 00:33:19,820 +بتعمل expression for the cytokine وبالتالي it's an + +466 +00:33:19,820 --> 00:33:22,780 +immunosuppressive + +467 +00:33:24,090 --> 00:33:26,910 +ماذا يفعل أيضًا؟ قال إن الكورتيكوستيرويد أيضًا + +468 +00:33:26,910 --> 00:33:30,330 +يمكن انهيبط إظهار موليكولات الادهيجيا. طب وإيش + +469 +00:33:30,330 --> 00:33:33,830 +يعني لما نعمل إظهار موليكولات الادهيجيا؟ قال إنه + +470 +00:33:33,830 --> 00:33:39,010 +سينهيبط تحويل الليكوسيت. أين بتروح الليكوسيت؟ إلى + +471 +00:33:39,010 --> 00:33:42,430 +موقع الانفكاش أو الانفلامش. وبالتالي + +472 +00:33:42,430 --> 00:33:49,470 +الكورتيكوستيرويد ينهيبط عملية تحويل الليكوسيت. طيب + +473 +00:33:49,470 --> 00:33:52,370 +إيش كمان بتعمل؟ قال إنهم يدعموا إطلاق سلر + +474 +00:33:52,370 --> 00:33:56,540 +الاندونيكليازي.وهذا بيؤدي الى induction of + +475 +00:33:56,540 --> 00:34:01,520 +apoptosis في ال limphocyte والإيزينوفيل يعني ال + +476 +00:34:01,520 --> 00:34:03,940 +limphocyte والإيزينوفيل اللي بدهم يعملوا immune + +477 +00:34:03,940 --> 00:34:08,580 +response بيقولوا هو سكتروا in addition they + +478 +00:34:08,580 --> 00:34:11,840 +reduced phagocytosis طب أنا فوج عملت inhibition ل + +479 +00:34:11,840 --> 00:34:16,220 +ليكوسايت migration وبالتالي I reduced the + +480 +00:34:16,220 --> 00:34:18,560 +phagocytosis and killing by neutrophil and + +481 +00:34:18,560 --> 00:34:22,000 +macrophages and reduced expression of MSC class 2 + +482 +00:34:22,000 --> 00:34:27,320 +moleculeبهذه الطريقة كورتيكوستيرويد نهيب الـ T + +483 +00:34:27,320 --> 00:34:32,180 +-cell activation و تعمل تعمل تعمل تعمل تعمل تعمل + +484 +00:34:32,180 --> 00:34:34,820 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +485 +00:34:34,820 --> 00:34:35,260 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +486 +00:34:35,260 --> 00:34:36,340 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +487 +00:34:36,340 --> 00:34:36,340 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +488 +00:34:36,340 --> 00:34:36,340 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +489 +00:34:36,340 --> 00:34:39,180 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +490 +00:34:53,710 --> 00:34:58,890 +وبعمل انهيبشين انوسينك + +491 +00:34:58,890 --> 00:35:17,130 +اسد انهيبشين + +492 +00:35:17,130 --> 00:35:22,910 +انوسينك اسد انهيبشين انهيبشين انهيبشين انهيبشين + +493 +00:35:22,910 --> 00:35:22,970 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +494 +00:35:22,970 --> 00:35:23,550 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +495 +00:35:23,550 --> 00:35:23,550 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +496 +00:35:23,550 --> 00:35:23,570 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +497 +00:35:23,570 --> 00:35:23,570 +انهيبشين انهيبشين انهيبشين انهيبشين انهيبشين + +498 +00:35:23,570 --> 00:35:27,530 +انهيبشين انهيبشين انهيبشين انof Purine Clorampucil + +499 +00:35:27,530 --> 00:35:33,650 +and cyclophosphamide الكليت DNA هذوله عبارة عن + +500 +00:35:33,650 --> 00:35:37,370 +cytotoxic drug تنين تانين وبرضه مشهورين في + +501 +00:35:37,370 --> 00:35:40,910 +الاستخدام شو بيعملوا؟ بيعملوا الكليتشن ل DNA + +502 +00:35:40,910 --> 00:35:48,600 +وبالتالي بيتدخلوا في ال metabolism of DNAكانت + +503 +00:35:48,600 --> 00:35:52,400 +تتطور أولاً لتعامل بالكانسر في الأساس عبارة عن + +504 +00:35:52,400 --> 00:35:57,920 +كيموثيرابي و هم أيضاً صيدوتكسيك للمفوسايد و + +505 +00:35:57,920 --> 00:36:03,320 +بيستخدمهم كميونو سبريسيب ايجانت من ما اعتبرت + +506 +00:36:03,320 --> 00:36:08,400 +ايجانت تتعامل مع صيدوتكسيكاين production و + +507 +00:36:08,400 --> 00:36:14,220 +signaling منها سايكلوسبورين و التاكرو + +508 +00:36:17,530 --> 00:36:20,410 +ماذا يفعل؟ يفعل انه يتعامل بالـ Calcium Urine + +509 +00:36:20,410 --> 00:36:27,890 +برتبته بالـ Immunophilins بيه وهو عبارة عن family + +510 +00:36:27,890 --> 00:36:31,210 +of intracellular protein تلعب دور كبير في الـ + +511 +00:36:31,210 --> 00:36:35,490 +lymphocyte signaling pathway وبالتالي بتعمل Signal + +512 +00:36:35,490 --> 00:36:41,990 +Transduction Pathway Inhibition ماشي وإذا ما صارش + +513 +00:36:41,990 --> 00:36:46,290 +فيه Signal Transduction مافيش functionبالإضافة لأن + +514 +00:36:46,290 --> 00:36:50,590 +الـ Cyclosporin تدفع معرفة تغيير الوضع بيطا وده + +515 +00:36:50,590 --> 00:36:54,850 +عبارة عن انهيبوتوريه سايتوكاينو Cyclosporin أيضًا + +516 +00:36:54,850 --> 00:37:02,270 +هو مفيد عندما يتم تدفعه قبل التدفع لكنه غير مفيد + +517 +00:37:02,270 --> 00:37:06,850 +في إغلاق إتجار مستمر يعني إذا إتجار شغال، إيه + +518 +00:37:06,850 --> 00:37:12,690 +بيقولته؟ Cyclosporin بيعتبر نفروتوكسيك وبالتالي + +519 +00:37:12,690 --> 00:37:17,520 +بيزيد ال risk of cancerwhen administered for long + +520 +00:37:17,520 --> 00:37:22,960 +term يعني إذا اتخذ لفترات طويلة ممكن يعمل يكون + +521 +00:37:22,960 --> 00:37:28,340 +tumorigenesis نبر أربع immunosuppressive antibody + +522 +00:37:28,340 --> 00:37:31,380 +therapy بيعطوا Anti lymphocyte antibody + +523 +00:37:31,380 --> 00:37:36,320 +preparation زي as horse and rabbit anti lymphocyte + +524 +00:37:36,320 --> 00:37:45,280 +globulin استخدموهم as immunosuppressive therapyبس + +525 +00:37:45,280 --> 00:37:48,480 +للمؤسف ممكن يعملوا serum sickness disease يعني ال + +526 +00:37:48,480 --> 00:37:52,420 +complications تبعتهم انه ممكن يصير serum sickness + +527 +00:37:52,420 --> 00:37:57,740 +monoclonal antibody and engineered mouse human + +528 +00:37:57,740 --> 00:38:02,020 +chimeric antibody او بيسموه humanized antibody + +529 +00:38:02,020 --> 00:38:08,220 +استخدموهم زي ال RKT3 which is directed at KSCD3 + +530 +00:38:08,220 --> 00:38:10,940 +اللي موجود على سطح ال T lymphocytes + +531 +00:38:14,360 --> 00:38:21,740 +الـ Zamab وBacillus Zamab هم محدثين لـ IL-2 + +532 +00:38:21,740 --> 00:38:26,940 +ريسيبتور Alpha-Chain اللي هو CD25 ويعملون إعادة + +533 +00:38:26,940 --> 00:38:30,400 +إعادة إعادة إعادة الإعادة الريسيبتور IL-2 على سطح + +534 +00:38:30,400 --> 00:38:34,440 +الـ T-Lymphocytes. هؤلاء هم مخلوقات إعادة إعادة + +535 +00:38:34,440 --> 00:38:37,860 +إعادة CD3 وإعادة إعادة CD25 + +536 +00:38:40,900 --> 00:38:45,420 +الـ IL-2 والاكتفاءات + +537 +00:38:45,420 --> 00:38:55,940 +التابعة للـ T-cell.لا ننسى أن هناك اقتراحات تتجه + +538 +00:38:55,940 --> 00:39:03,420 +إلى الـ T-Helper-17 أو T-Helper-1.والبعض + +539 +00:39:03,420 --> 00:39:07,960 +من الـ T-Rig Cell قد يكون مسئولًا لإنقاذ عضوية من + +540 +00:39:07,960 --> 00:39:12,410 +الانتجار العضوي.طبعاً ما احنا عارفين في هذه الحالة + +541 +00:39:12,410 --> 00:39:16,870 +سواء كان تيربر واحد او تيربر سبنتين اذا كان مشينا + +542 +00:39:16,870 --> 00:39:19,950 +في هذه الميكانيزمات واحد نشط نيوتروفيل واحد نشط + +543 +00:39:19,950 --> 00:39:23,070 +ماكروفير وبالتالي ممكن يعملوا acute graft + +544 +00:39:23,070 --> 00:39:31,550 +rejection بلقوا K-cytokines in vivo أشهرها IL-6 + +545 +00:39:31,550 --> 00:39:38,730 +هذا ممكن يعمل shifting from تيربر 17تورزج تيرج + +546 +00:39:38,730 --> 00:39:47,490 +تورزج + +547 +00:39:47,490 --> 00:39:50,470 +تيرج تورزج تيرج تورزج تورزج تورزج تورزج تورزج + +548 +00:39:50,470 --> 00:39:50,470 +تورزج تورزج تورزج تورزج تورزج تورزج تورزج تورزج + +549 +00:39:50,470 --> 00:39:50,490 +تورزج تورزج تورزج تورزج تورزج تورزج تورزج تورزج + +550 +00:39:50,490 --> 00:39:50,490 +تورزج تورزج تورزج تورزج تورزج تورزج تورزج تورزج + +551 +00:39:50,490 --> 00:39:50,650 +تورزج تورزج تورزج تورزج تورزج تورزج تورزج تورزج + +552 +00:39:50,650 --> 00:39:51,910 +تورزج تورزج تورزج تورزج تورزج تورزج تورزج تورزج + +553 +00:39:51,910 --> 00:40:00,250 +تورزج تورزج تورزج تورزج تورزج تورزPlucking بيعملوا + +554 +00:40:00,250 --> 00:40:05,410 +Plucking للـ IL-6 وهذا بيحول من T لبرسل 17 + +555 +00:40:05,410 --> 00:40:12,550 +Activity ل T Ring Activity بيجي للتطبيق + +556 +00:40:12,550 --> 00:40:17,870 +الهيوغروبوتيك استم سيل Transplantation وهذا + +557 +00:40:17,870 --> 00:40:23,430 +بيتكوين من Special Transplantation Situationالتي + +558 +00:40:23,430 --> 00:40:27,470 +تتجارب عامة بين مستخدم امينو كومبتان ومستخدم امينو + +559 +00:40:27,470 --> 00:40:28,850 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +560 +00:40:28,850 --> 00:40:30,650 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +561 +00:40:30,650 --> 00:40:38,170 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +562 +00:40:38,170 --> 00:40:40,030 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +563 +00:40:40,030 --> 00:40:40,950 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +564 +00:40:40,950 --> 00:40:44,690 +كومبتان ومستخدم امينو كومبتان ومستخدم امينو + +565 +00:40:44,690 --> 00:40:46,650 +كومبتان ومستخدم امينو كومبتان ومستخ + +566 +00:40:49,670 --> 00:40:58,830 +stem cell من ال blood سواء كان blood من اللي هو + +567 +00:40:58,830 --> 00:41:06,690 +عينة عادية او + +568 +00:41:06,690 --> 00:41:11,110 +المهم ال stem cell بتتاخد hemibiotic stem cell is + +569 +00:41:11,110 --> 00:41:14,090 +used to treat a variety of conditions بما فيها + +570 +00:41:14,090 --> 00:41:19,640 +skid اللي هوسيوير كومبايند امينوديفشانسي ويسكوت + +571 +00:41:19,640 --> 00:41:28,020 +ألدريح سيندروم و الوكيميا المتعاملة بشكل + +572 +00:41:28,020 --> 00:41:29,440 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +573 +00:41:29,440 --> 00:41:29,720 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +574 +00:41:29,720 --> 00:41:29,720 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +575 +00:41:29,720 --> 00:41:29,740 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +576 +00:41:29,740 --> 00:41:29,740 +كامل بشكل كامل بشكل كامل بشكل كامل بشكل كامل بشكل + +577 +00:41:29,740 --> 00:41:35,880 +كامل بشكل كامل بشكل كامل بشكل + +578 +00:41:35,880 --> 00:41:38,700 +كامل بشكل + +579 +00:41:45,720 --> 00:41:48,900 +transplantation is a form of gene therapy وكأن + +580 +00:41:48,900 --> 00:41:52,980 +احنا بنغير ال gene ال genetically abnormal blood + +581 +00:41:52,980 --> 00:41:56,840 +forming stem cell are replaced by normally + +582 +00:41:56,840 --> 00:42:00,620 +functioning cell كل اللي بنعمله انه بنغيره بنا + +583 +00:42:00,620 --> 00:42:04,660 +stem cell مريضة ونحط بدلها stem cell سليمة + +584 +00:42:04,660 --> 00:42:09,160 +ultimate goal of hemopoietic cell transplantation + +585 +00:42:09,160 --> 00:42:15,160 +انه نرجعالـ Bone marrow أو الـ Hemopoies into its + +586 +00:42:15,160 --> 00:42:21,360 +normal function اليوم Hemopoietic stem cell give + +587 +00:42:21,360 --> 00:42:24,300 +rise to all blood cell lineage زي ما احنا عارفين + +588 +00:42:24,300 --> 00:42:28,820 +Small number of these pluripotent cell also + +589 +00:42:28,820 --> 00:42:34,660 +circulate in blood فطبعا أثناء هذه العملية GCSF is + +590 +00:42:34,660 --> 00:42:38,360 +used عشان نزود ال number of hemopoietic stem cell + +591 +00:42:38,360 --> 00:42:45,020 +in both marrow and bloodمقارنة من هذه الجلدات يمكن + +592 +00:42:45,020 --> 00:42:52,260 +تجاربها من وجهة CD43-34.جلد سيمجانيكس تيمسيل مرتبط + +593 +00:42:52,260 --> 00:42:57,480 +بالخطر الأعلى بسبب مشابهته الجينيكية بين الدونار + +594 +00:42:57,480 --> 00:43:01,440 +والرسبيل.Autologous Hemobiotic Cell + +595 +00:43:01,440 --> 00:43:06,800 +Transplantation هو تقنيات الحصول على أسلوب من الدم + +596 +00:43:06,800 --> 00:43:13,440 +أو المرور وإعادته إلى نفس الشخص طب يعني بناخد من + +597 +00:43:13,440 --> 00:43:17,520 +نفس الشخص ونديه طبعا هذا الكلام كيف يصير ناخدها في + +598 +00:43:17,520 --> 00:43:24,770 +فترة الصحة ونحوشها له لحين المرضهو عادةً يتعامل + +599 +00:43:24,770 --> 00:43:28,910 +بالطبيع بشكل ماليجنسي مثل اللوكيميا الانفوميا + +600 +00:43:28,910 --> 00:43:35,470 +والميلوما الهيوبيتك الهيوجينيك الهيوبيتك الهيوبيتك + +601 +00:43:35,470 --> 00:43:35,770 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +602 +00:43:35,770 --> 00:43:36,310 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +603 +00:43:36,310 --> 00:43:37,090 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +604 +00:43:37,090 --> 00:43:40,530 +الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك الهيوبيتك + +605 +00:43:40,530 --> 00:43:49,170 +الهيوبيتك الهيوبيتك + +606 +00:43:55,880 --> 00:44:01,140 +بالتالي إذا كنا نحكي على مجموعة أو مجموعة من + +607 +00:44:01,140 --> 00:44:06,840 +البلسانتا لو بيسموها الامبلايكال اللي هو blood + +608 +00:44:06,840 --> 00:44:14,120 +blood blood blood blood blood blood blood blood + +609 +00:44:14,120 --> 00:44:19,120 +blood blood blood blood + +610 +00:44:19,120 --> 00:44:19,360 +blood blood blood blood blood blood blood blood + +611 +00:44:19,360 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +612 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +613 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +614 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +615 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +616 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +617 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +618 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +619 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +620 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +621 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +622 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +623 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +624 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +625 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +626 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +627 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +628 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +629 +00:44:20,080 --> 00:44:20,080 +blood blood blood blood blood blood blood blood + +630 +00:44:20,080 --> 00:44:20,080 +blood blood blood + +631 +00:44:35,730 --> 00:44:40,550 +أو الانتجينات اللي دخلت على ال donor cell تعرف + +632 +00:44:40,550 --> 00:44:45,990 +عليها ال host cell وعملتها rejection و بيسموه في + +633 +00:44:45,990 --> 00:44:51,890 +هذا الحالة ال hostيتنشط ضد الـ graft اللي دخل + +634 +00:44:51,890 --> 00:44:56,510 +سموها host vs graft effect او العكس انه اللي ال + +635 +00:44:56,510 --> 00:45:00,330 +immune reaction of to the host اما C-antigen بي + +636 +00:45:00,330 --> 00:45:04,890 +occur as graft vs host disease نفس ال graft هو + +637 +00:45:04,890 --> 00:45:10,150 +اللي اشتغل على اللامن يما ال recipient يكون + +638 +00:45:10,150 --> 00:45:14,750 +immunocompetent immunorejection by host T cell is + +639 +00:45:14,750 --> 00:45:17,230 +usually prevented by intensive immunosuppression + +640 +00:45:17,940 --> 00:45:21,780 +يعني إذا حصل الـ host vs graft disease كل ما نفعله + +641 +00:45:21,780 --> 00:45:25,240 +هو نعطيه immunosuppress فبنسكت ال host cell ضد ال + +642 +00:45:25,240 --> 00:45:30,620 +donor cell patient with immunodeficiency disease + +643 +00:45:30,620 --> 00:45:34,680 +اي skid ما بيحتاجوا ال induction therapy since + +644 +00:45:34,680 --> 00:45:39,300 +there is no risk of rejection by host ألا to + +645 +00:45:39,300 --> 00:45:42,880 +reduce the risk of graft vs host disease ألا + +646 +00:45:42,880 --> 00:45:47,230 +الموضوع التاني المرضي التانيT-cells are eliminated + +647 +00:45:47,230 --> 00:45:55,350 +من العينا from donor cell population إما باستخدام + +648 +00:45:55,350 --> 00:45:59,670 +مونوكلون الانتي T-cell antibody and complement or + +649 +00:45:59,670 --> 00:46:07,410 +irradiation.Graft-versus-whole-disease يوم ميسير + +650 +00:46:07,410 --> 00:46:11,190 +طبعا hemopoietic cell transplantation from donor + +651 +00:46:12,220 --> 00:46:15,980 +بالطبع انا اشار ليه Desperate Recipient Results in + +652 +00:46:15,980 --> 00:46:19,020 +Rejection طبيعي جدا يوم التنشط اللي هو ال host + +653 +00:46:19,020 --> 00:46:23,540 +cell ال donor cell against host antigen بيصير فيه + +654 +00:46:23,540 --> 00:46:26,820 +graft versus host disease طبعا سواء ان ال antigen + +655 +00:46:26,820 --> 00:46:31,240 +كان major او minor اتش انتجين المهم فيه reaction + +656 +00:46:31,240 --> 00:46:35,880 +graft versus host disease يتكامن من الminor + +657 +00:46:35,880 --> 00:46:40,530 +competent lymphoid cellبالنسبة للناس اللي اتعرف + +658 +00:46:40,530 --> 00:46:48,310 +على انتجينات الهوست هم الناس + +659 +00:46:48,310 --> 00:46:57,210 +اللي اتعرف على انتجينات الهوست هم + +660 +00:46:57,210 --> 00:47:01,290 +الناس اللي اتعرف على انتجينات الهوستRadiation + +661 +00:47:01,290 --> 00:47:05,550 +Therapy أو Chemotherapy اللي بتخلي مناعتهم قليلة + +662 +00:47:05,550 --> 00:47:09,490 +أو معدومة وبالتالي بيصير فيه إمكانية لعدوث الـ + +663 +00:47:09,490 --> 00:47:13,490 +graft-versus-host disease لإنه ممكن تصير الكلام + +664 +00:47:13,490 --> 00:47:20,790 +هذا as acute وبيتشكل هذه في 15% ل 40% من حالة ال + +665 +00:47:20,790 --> 00:47:25,590 +hemipietic cell transplantation وفي هذا الحل + +666 +00:47:25,590 --> 00:47:33,010 +الموتىوالـ morbidity is + +667 +00:47:33,010 --> 00:47:37,090 +the major cause of morbidity after allogenic HCT + +668 +00:47:37,090 --> 00:47:42,650 +الـ chronic بتشكل حوالي 50% من المرضى ماشي بيصير + +669 +00:47:42,650 --> 00:47:46,350 +في حوالي 50% من المرضى اللي ممكن يثبت لغاية تلت + +670 +00:47:46,350 --> 00:47:51,730 +شهور بعد عملية الزراعة ال acute graft versus heart + +671 +00:47:51,730 --> 00:47:57,060 +diseaseبينثل طبعا accelerated inflammatory + +672 +00:47:57,060 --> 00:48:04,060 +response يعني response عالي against foreign + +673 +00:48:04,060 --> 00:48:08,960 +antigen طبعا ال host قال له antigen في هذه الحالة + +674 +00:48:08,960 --> 00:48:12,520 +donor lymphocyte encounter tissue the recipient + +675 +00:48:12,520 --> 00:48:20,500 +that has been damaged to an underlying disease و + +676 +00:48:20,500 --> 00:48:28,420 +الناس هدولةكما قلنا لكم يكونوا متعرضين لإما بري + +677 +00:48:28,420 --> 00:48:33,440 +هيموبيتكسل ترانسبلانتيشن ثيرابي برادياشن أو + +678 +00:48:33,440 --> 00:48:39,060 +بكيموثيرابي. In human, graft-resistant disease may + +679 +00:48:39,060 --> 00:48:43,460 +produce plenomegaly نفس دولة or hepatomegaly or + +680 +00:48:43,460 --> 00:48:47,720 +lymphadenopathy or diarrhea, anemia, weight loss + +681 +00:48:47,720 --> 00:48:50,280 +and other disorders in which the underlying cause + +682 +00:48:50,280 --> 00:48:54,540 +are inflammationأو الـ Destruction من هذا الموضوع + +683 +00:48:54,540 --> 00:48:58,520 +.It is usually graft-resistant disease is + +684 +00:48:58,520 --> 00:49:04,640 +initiated by donor derived T cell تعرفت على + +685 +00:49:04,640 --> 00:49:09,900 +Recipient MHC antigen and minor H antigen as + +686 +00:49:09,900 --> 00:49:15,840 +foreign و ال procedure الأساسي او المثالي are used + +687 +00:49:15,840 --> 00:49:21,350 +to eliminate نيومولما يعملوا ال hemopoietic cell + +688 +00:49:21,350 --> 00:49:24,030 +transplantation بيعملوا elimination لل T cell من + +689 +00:49:24,030 --> 00:49:29,790 +donor hemopoietic stem cell sources لكن بتبقى ال + +690 +00:49:29,790 --> 00:49:36,330 +pluripotent stem cell ايضا ممكن تعطي خلايا او + +691 +00:49:36,330 --> 00:49:40,550 +تولدنا خلايا من ال T lymphocyte which are active + +692 +00:49:43,230 --> 00:49:45,290 +المعظم من الناس اللي بيشتغل في الانفلامات اللي + +693 +00:49:45,290 --> 00:49:46,870 +بيشتغل في الانفلامات اللي بيشتغل في الانفلامات + +694 +00:49:46,870 --> 00:49:47,730 +اللي بيشتغل في الانفلامات اللي بيشتغل في + +695 +00:49:47,730 --> 00:49:48,690 +الانفلامات اللي بيشتغل في الانفلامات اللي بيشتغل + +696 +00:49:48,690 --> 00:49:49,730 +في الانفلامات اللي بيشتغل في الانفلامات اللي + +697 +00:49:49,730 --> 00:49:50,270 +بيشتغل في الانفلامات اللي بيشتغل في الانفلامات + +698 +00:49:50,270 --> 00:49:51,850 +اللي بيشتغل في الانفلامات اللي بيشتغل في + +699 +00:49:51,850 --> 00:49:54,530 +الانفلامات اللي بيشتغل في الانفلامات اللي بيشتغل + +700 +00:49:54,530 --> 00:49:57,140 +في الانفلامات اللي بيشتعن طريق الـ Inflammatory + +701 +00:49:57,140 --> 00:49:59,680 +Reaction بيحصل في الـ cytokine release أشهرها + +702 +00:49:59,680 --> 00:50:03,440 +تيوانكسوس فاكتور آلفة و IL-1 شو بيعملوا؟ قالوا + +703 +00:50:03,440 --> 00:50:06,440 +هدولة بيعملوا recruitment لل inflammatory in it + +704 +00:50:06,440 --> 00:50:10,120 +inflammatory cell وبالتالي بتيجي بتساعد بتزيد + +705 +00:50:10,120 --> 00:50:15,260 +الطيبلة يعني بتساعد في زيادة ال destruction of + +706 +00:50:15,260 --> 00:50:19,080 +cell طبعا + +707 +00:50:19,080 --> 00:50:22,540 +unless the reaction is controlledالشيء اللي يحدث + +708 +00:50:22,540 --> 00:50:26,120 +في المريض هو ان المرض يستعمل ويهاجم ميكانيزم + +709 +00:50:26,120 --> 00:50:30,320 +الدفاع الإيميني وبالتالي + +710 +00:50:30,320 --> 00:50:33,580 +ممكن تؤدي الى الوفاة لأنه بيصير في المريض وكأنه + +711 +00:50:33,580 --> 00:50:39,240 +يعاني من status of immunodeficiency وبالتالي ممكن + +712 +00:50:39,240 --> 00:50:44,400 +تؤدي الى الوفاة لكن يمكن ان يكون مدينة بمجموعة من + +713 +00:50:44,400 --> 00:50:48,020 +الاجنات المعارفة بالإيمين مثل Cyclosporin + +714 +00:50:48,020 --> 00:50:49,020 +وTacrelambas + +715 +00:50:53,930 --> 00:51:00,030 +بسرعة من ميثاتركسيت ككيموثيرابي هذا بالنسبة + +716 +00:51:00,030 --> 00:51:05,190 +للهيموبيتك تم سيل ترانسبلانتاشن الموضوع التاني + +717 +00:51:05,190 --> 00:51:07,870 +اللي بدنا نحكي فيه في الموضوعين دايلين اللي هو + +718 +00:51:07,870 --> 00:51:11,670 +موضوع الفيتس هو بلعن tolerated allograft + +719 +00:51:15,600 --> 00:51:21,480 +وجاله في عدة أسباب بالنسبة لهذا الموضوع أول سبب أن + +720 +00:51:21,480 --> 00:51:25,880 +ال fetus express paternal amnesty antigen that is + +721 +00:51:25,880 --> 00:51:30,660 +not expressed by mother وبالتالي المفروض أنه to be + +722 +00:51:30,660 --> 00:51:33,920 +rejected by the mother as an allograft لكن اللي + +723 +00:51:33,920 --> 00:51:41,240 +بيصير أنه مارزي المفروض + +724 +00:51:41,240 --> 00:51:44,830 +أنه ال motherكان معروف ان الانتيبادي يتفاعل مع + +725 +00:51:44,830 --> 00:51:49,010 +انتجن الفيطران مثلما يحدث في حالة الـ Rh انتيبادي + +726 +00:51:49,010 --> 00:51:59,790 +بالاضافة لأن الأم كانت تخلف كثيرا الملتبرة woman + +727 +00:51:59,790 --> 00:52:09,530 +عندها انتيبادي تفادر MSC انتجن بشكل كبير الا ان + +728 +00:52:09,530 --> 00:52:19,230 +ليس انتيباديare harmless to the fetus هذه نقطة + +729 +00:52:19,230 --> 00:52:26,710 +مهمة they cannot cross the placenta لحاجات تانية + +730 +00:52:26,710 --> 00:52:31,690 +mother does not produce cytotoxic T cell against + +731 +00:52:31,690 --> 00:52:39,830 +the fetus إشي تالت trophoplasm بتاعة الفيتس اللي + +732 +00:52:39,830 --> 00:52:44,250 +بتتكوّم ال outer layer of placentaواللي هي on + +733 +00:52:44,250 --> 00:52:47,950 +direct contact with material tissue Do not express + +734 +00:52:47,950 --> 00:52:53,070 +polymorphic MHC class 1 or class 2 molecule ولكن + +735 +00:52:53,070 --> 00:52:56,830 +they express another polymorphic class of MHC + +736 +00:52:56,830 --> 00:53:01,410 +antigen بيسموه class 1B MHC molecule أو بيسموه + +737 +00:53:01,410 --> 00:53:06,850 +HLAG وبالتالي الـ fetal trophoblast does not prime + +738 +00:53:06,850 --> 00:53:11,230 +for cellular immune responseالتي مرتبطة بالـ + +739 +00:53:11,230 --> 00:53:16,650 +Allograft Rejection بل بالعكس الـ HLAG تمنح الـ + +740 +00:53:16,650 --> 00:53:23,050 +legend لـ KIR اللي موجود على الـ material NK cell + +741 +00:53:23,050 --> 00:53:29,450 +وبالتالي بيمنع نشاطها بيمنع عملية قتل الـ fetal + +742 +00:53:29,450 --> 00:53:33,870 +cell by NK cell شو بيعمل؟ مرتبط بالـ K inhibitory + +743 +00:53:33,870 --> 00:53:37,440 +receptorKiller Inhibitory Receptor اللي موجود على + +744 +00:53:37,440 --> 00:53:47,680 +سطح الانكيسل بتاعة الفيتس HLAG أيضًا Expressed in + +745 +00:53:47,680 --> 00:53:52,720 +Thymic Medullary Epithelium وهذا بيؤكد أن T cell + +746 +00:53:52,720 --> 00:54:00,860 +tolerance to this molecule شافته قبل هيك أيضًا No + +747 +00:54:00,860 --> 00:54:06,600 +cell expressing large amountأو MSC Class 2 مثلًا + +748 +00:54:06,600 --> 00:54:13,660 +دلتراتكسل التي تم وجودها في بلاسنتا مافيش Alpha + +749 +00:54:13,660 --> 00:54:17,980 +-Fetoprotein هو برعام بروتين بيصنع في اليوكساك + +750 +00:54:17,980 --> 00:54:23,680 +وفيتالليبر وبيعتبر important in the survival of + +751 +00:54:23,680 --> 00:54:29,240 +the fetus بيستخدم لإنه بيعتبر كimmunosuppressive + +752 +00:54:29,240 --> 00:54:33,040 +ال drug له immunosuppressive properties + +753 +00:54:35,540 --> 00:54:39,980 +وبالتالي الفيتس لا يشتغل في جهاز ممنوع و بالعكس + +754 +00:54:39,980 --> 00:54:46,640 +بيعتبر موجود فيه موجود في جهاز + +755 +00:54:46,640 --> 00:54:48,160 +ممنوع و بيعتبر موجود فيه موجود فيه موجود فيه موجود + +756 +00:54:48,160 --> 00:54:48,500 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +757 +00:54:48,500 --> 00:54:48,900 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +758 +00:54:48,900 --> 00:54:49,060 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +759 +00:54:49,060 --> 00:54:49,060 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +760 +00:54:49,060 --> 00:54:49,080 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +761 +00:54:49,080 --> 00:54:53,360 +فيه موجود فيه موجود فيه موجود فيه موجود فيه موجود + +762 +00:54:53,360 --> 00:55:03,980 +فيه موجود + +763 +00:55:03,980 --> 00:55:09,580 +فيوفي حالات الـ diabetic ulcer و الـ venous ulcer + +764 +00:55:09,580 --> 00:55:18,260 +وغالبا بتشير commonly otologous طبعا recently + +765 +00:55:18,260 --> 00:55:22,700 +artificial skin has been used يعني بدوا يصنع + +766 +00:55:22,700 --> 00:55:25,800 +consisting of stromal element and cultured cell + +767 +00:55:25,800 --> 00:55:30,360 +for allergenic or xenogenic origin صاروا يستخدموا + +768 +00:55:30,360 --> 00:55:31,140 +اللي هو + +769 +00:55:35,440 --> 00:55:43,300 +وأد من أصول اللي هو مصنعة kidney + +770 +00:55:43,300 --> 00:55:48,500 +زي ما في حالات ال arena failure طبعا ال craft + +771 +00:55:48,500 --> 00:55:58,540 +survival بيزيد عن 85% عن سنة حتى وإن كان unrelated + +772 +00:55:58,540 --> 00:56:05,920 +matching is presentطبعا مش سنة انا بقول اليوم في + +773 +00:56:05,920 --> 00:56:10,680 +ال kidney اليوم وصل by using immunosuppressive + +774 +00:56:10,680 --> 00:56:16,500 +regimen لغاية اخر احد الابحاث بتقول لغاية عشرين + +775 +00:56:16,500 --> 00:56:20,740 +وخمس وعشرين سنة liver في حالة الهيباطوم أو ال + +776 +00:56:20,740 --> 00:56:25,320 +biliary atresia successful in about two third of + +777 +00:56:25,320 --> 00:56:30,320 +recipient for one year heart في حالة ال cardiac + +778 +00:56:30,320 --> 00:56:36,750 +failuresurvival rate توصل الى 80% for one year ال + +779 +00:56:36,750 --> 00:56:39,530 +lung في حالات ال advanced pulmonary or + +780 +00:56:39,530 --> 00:56:45,050 +cardiopulmonary diseases و غالبا بسرعة + +781 +00:56:45,050 --> 00:56:47,050 +transplantation together with heart + +782 +00:56:47,050 --> 00:56:51,390 +transplantation دول مروا في حالات ال incurable + +783 +00:56:51,390 --> 00:56:56,190 +لكيميا لينفومة congenital immunodeficiency و risk + +784 +00:56:56,190 --> 00:57:01,180 +of graft versus host diseasetransplantation of a + +785 +00:57:01,180 --> 00:57:04,180 +hemopoietic cell has been used عشان يخففه من + +786 +00:57:04,180 --> 00:57:07,860 +الشرسكوفجرافت versus his disease بدوا يستخدموا + +787 +00:57:07,860 --> 00:57:12,940 +hemopoietic stem cell مش بولمارو كورنيا في حالة ال + +788 +00:57:12,940 --> 00:57:18,060 +blindness actually matching is not advantageous مش + +789 +00:57:18,060 --> 00:57:24,900 +كتير ميزة لإن الكورنيا او ال eye is privileged + +790 +00:57:24,900 --> 00:57:29,370 +side immunoprivileged sideوبالتالي مافيني + +791 +00:57:29,370 --> 00:57:34,610 +lymphatic drainage pancreas في علات ال diabetes + +792 +00:57:34,610 --> 00:57:38,770 +mellitus pancreas and kidney transplantation + +793 +00:57:38,770 --> 00:57:47,710 +التانين مع بعض success rate يعني تقريبا بتجرب من + +794 +00:57:47,710 --> 00:57:53,490 +ال kidney transplant وبهيك بنكون ان هنا محاضرة ال + +795 +00:57:53,490 --> 00:57:57,710 +kidney transplant ال transplantationيعني أرجو أن + +796 +00:57:57,710 --> 00:58:03,630 +تكون أفدتكم و استمتعتم بهذه المحاضرة و شكرا + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8.srt new file mode 100644 index 0000000000000000000000000000000000000000..aacf5826b30c2d7ba2be8f28470325b86d2b0687 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8.srt @@ -0,0 +1,2511 @@ +1 +00:00:03,590 --> 00:00:06,310 +بسم الله الرحمن الرحيم أروى حضرتنا اليوم عن ال + +2 +00:00:06,310 --> 00:00:11,410 +genetic basis of antibody structure من المعروف + +3 +00:00:11,410 --> 00:00:16,090 +اليوم أنه في عيننا different antigenic specificity + +4 +00:00:16,090 --> 00:00:19,910 +من خلايا الـ B lymphocyte وT lymphocyte بيصل عددها + +5 +00:00:19,910 --> 00:00:24,410 +إلى عشر قوة من عشر قوة خمسة عشر لعشر قوة ثمانية عشر + +6 +00:00:24,410 --> 00:00:29,380 +يعني في عيندي different B with different + +7 +00:00:29,380 --> 00:00:34,300 +specificity و different T أيضا have different TCR + +8 +00:00:34,300 --> 00:00:40,780 +بهذا العدد و these are protein يعني they are + +9 +00:00:40,780 --> 00:00:48,700 +genetically coded وبالتالي they need gene for + +10 +00:00:48,700 --> 00:00:53,480 +their production إلا أن عدد الجينات اللي موجودة لا + +11 +00:00:53,480 --> 00:00:57,920 +تتجاوز في الجسم الـ individual يعني لا تتجاوز عشرين + +12 +00:00:57,920 --> 00:01:03,460 +ألف لخمسة وعشرين ألف فكيف هذا العدد القليل من + +13 +00:01:03,460 --> 00:01:09,100 +الجينات يستطيع أن يصنع هذا العدد المهول من الـ + +14 +00:01:09,100 --> 00:01:15,400 +immunoglobulin أو الـ TCR سوسومو + +15 +00:01:15,400 --> 00:01:24,640 +توني جاوة في 1976 أخد Nobel Prize اكتشف على أن + +16 +00:01:24,640 --> 00:01:31,700 +الجينات تستطيع أن تتحرك و تتصفط within the genome + +17 +00:01:31,700 --> 00:01:41,500 +in differentiating B cell and T cell يعني الجينات + +18 +00:01:41,500 --> 00:01:48,280 +تستطيع أن تتحرك من مكانها و تتصفط تصفيتها تصفيتات + +19 +00:01:48,280 --> 00:01:49,980 +مختلفة في كل مرة + +20 +00:01:53,720 --> 00:01:56,440 +طبعا هو اكتشف هذا الأمر و أثبتوا من خلال الـ + +21 +00:01:56,440 --> 00:02:00,600 +southern blotting عمل southern blotting لمين؟ للـ + +22 +00:02:00,600 --> 00:02:08,920 +genes فلجأها في مرحلة مختلفة من اللي هو العمر + +23 +00:02:08,920 --> 00:02:14,940 +الخلية فوجد أنه فيه جينات بتختلف بيختلف مواقعها + +24 +00:02:14,940 --> 00:02:22,190 +باختلاف اللي هو الـ maturity of the cell كمان وصل + +25 +00:02:22,190 --> 00:02:30,750 +لمرحلة وطلعت نتيجة أن different V region gene can + +26 +00:02:30,750 --> 00:02:36,610 +be linked up together with a single constant + +27 +00:02:36,610 --> 00:02:44,210 +region gene يعني جينات مسئولة عن الـ variable + +28 +00:02:44,210 --> 00:02:47,510 +region متعددة + +29 +00:02:48,780 --> 00:02:57,320 +ممكن ترتبط بـ single constant region gene وهذا وضع + +30 +00:02:57,320 --> 00:03:04,080 +طبيعي جدا ممكن يكون عندنا different IgG the + +31 +00:03:04,080 --> 00:03:08,000 +same IgG with different specificity the same IgG + +32 +00:03:08,000 --> 00:03:14,000 +with different specificity طبعا + +33 +00:03:14,000 --> 00:03:19,780 +أحسن prototypical gene coding يعني for trans + +34 +00:03:19,780 --> 00:03:25,880 +membrane or non immunoglobulin any بروتين يصنع في + +35 +00:03:25,880 --> 00:03:34,020 +الجسم بهذا التسلسل كلنا بنعرف أنه فينا DNA بيصير له + +36 +00:03:34,020 --> 00:03:39,890 +primary transcript ثم maturation messenger RNA اللى + +37 +00:03:39,890 --> 00:03:44,350 +بعدها بينتقل إلى الـ translation وفي الـ endoplasmic + +38 +00:03:44,350 --> 00:03:48,110 +reticulum بيتصنع على البروتين ما ينطبق طبعا على هذا + +39 +00:03:48,110 --> 00:03:55,910 +هذا ينطبق على الـ immunoglobulin وعلى الـ TCR في + +40 +00:03:55,910 --> 00:04:00,610 +مقدمة كل + +41 +00:04:00,610 --> 00:04:07,350 +DNA sequence في حاجة بيسموها الـ Exon موجودة على الـ + +42 +00:04:07,350 --> 00:04:12,690 +five prime end of the DNA و قال اختصار لـ leader + +43 +00:04:12,690 --> 00:04:18,510 +sequence وهذه تقريبا code for ten hydrophobic + +44 +00:04:18,510 --> 00:04:27,950 +amino acids و اللي طبعا بيكونوا في الـ end terminal + +45 +00:04:27,950 --> 00:04:35,450 +end of the protein وظيفة الـ leader is to direct the + +46 +00:04:35,450 --> 00:04:40,670 +synthesis of polypeptide chain وين توصلها لـ الـ + +47 +00:04:40,670 --> 00:04:44,590 +endoplasmic reticulum و بتوصل هناك بتوصلها cleaved + +48 +00:04:44,590 --> 00:04:50,790 +off تنقطع فبدل الـ DNA لحاله هيبقى ما هيقود الـ DNA + +49 +00:04:50,790 --> 00:04:57,410 +إلى الـ endoplasmic reticulum هو الـ leader sequence + +50 +00:04:57,410 --> 00:05:02,210 +اللي موجود في مقدمة الـ DNA طبعا هناك في الـ + +51 +00:05:02,210 --> 00:05:05,630 +endoplasmic reticulum يتصنع اللي هو الـ protein + +52 +00:05:05,630 --> 00:05:10,690 +اللي احنا بنحكي عليه ثم بيتحرك إلى الجولجي أباراتس + +53 +00:05:10,690 --> 00:05:15,450 +ينتقل إلى الجولجي أباراتس ومن هناك بيطلع على الـ cell + +54 +00:05:15,450 --> 00:05:20,750 +membrane وهذه هي الرحلة الطبيعية لتصنيع أي protein + +55 +00:05:20,750 --> 00:05:24,710 +الـ variable region و الـ constant region of a new + +56 +00:05:24,710 --> 00:05:28,670 +globulin are coded by different gene مزال الـ + +57 +00:05:28,670 --> 00:05:33,910 +variable many variable can يعني bind to one + +58 +00:05:33,910 --> 00:05:40,280 +constant بالمقابل بالمناسبة كمان one constant gene + +59 +00:05:40,280 --> 00:05:45,720 +ممكن different constant gene ممكن يرتبطوا بـ one + +60 +00:05:45,720 --> 00:05:56,420 +variable gene أو gene يعني many antibody can have + +61 +00:05:56,420 --> 00:06:00,320 +the same specificity طبعا من معرفتي لهذه + +62 +00:06:00,320 --> 00:06:04,200 +المعلومات طلعوا بنتيجة على أن الـ variable و الـ + +63 +00:06:04,200 --> 00:06:07,310 +constant gene أو الـ Region في الـ Immunoglobulin + +64 +00:06:07,310 --> 00:06:12,850 +يتعامل مع جينات مختلفة ومختلفة الـ Antibody gene + +65 +00:06:12,850 --> 00:06:17,090 +بإمكانه تتحرك و تتعامل بنفسه داخل الجينوم تتعامل + +66 +00:06:17,090 --> 00:06:20,730 +بنفسه و تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه + +67 +00:06:20,730 --> 00:06:23,650 +و تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +68 +00:06:23,650 --> 00:06:23,910 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +69 +00:06:23,910 --> 00:06:24,190 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +70 +00:06:24,190 --> 00:06:26,610 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +71 +00:06:26,610 --> 00:06:32,940 +تتعامل بنفسه و تتعامل بنفسه which code for variable + +72 +00:06:32,940 --> 00:06:37,520 +and constant region بتتصفط الجينات اللي مسئولة عن + +73 +00:06:37,520 --> 00:06:42,920 +تصنيع الـ variable و الـ constant region طبعا بعد + +74 +00:06:42,920 --> 00:06:46,380 +هيك بيصير بعد التصفيت بيصير transcription ثم + +75 +00:06:46,380 --> 00:06:52,020 +translation و في النهاية بيطلع أنها heavy and + +76 +00:06:52,020 --> 00:06:56,840 +lighted chain of immunoglobulin و هي ما ينطبق على + +77 +00:06:56,840 --> 00:06:59,620 +الـ immunoglobulin ينطبق على TCR + +78 +00:07:01,700 --> 00:07:05,540 +طيب شو اللي بصير؟ خلينا نشوف واحدة واحدة genetic + +79 +00:07:05,540 --> 00:07:08,640 +event in the synthesis of immunoglobulin chain + +80 +00:07:08,640 --> 00:07:12,300 +و نشوف الـ lighted chain كلنا بنعرف أن الـ lighted + +81 +00:07:12,300 --> 00:07:16,040 +chain هي عبارة عن كلبة أو لمدة two types of + +82 +00:07:16,040 --> 00:07:29,380 +lighted chain polypeptide موجودين طبعا هدول كل + +83 +00:07:29,380 --> 00:07:34,710 +واحدة منهم بتتكون من variable region و constant + +84 +00:07:34,710 --> 00:07:38,890 +region عشان هيك بيسموها variable light و constant + +85 +00:07:38,890 --> 00:07:48,830 +light الـ variable light روحها بتتكون من 108 amino + +86 +00:07:48,830 --> 00:07:57,170 +acid or residue في الـ region and this region + +87 +00:07:59,370 --> 00:08:03,830 +التصنيع يتم تصنيعه بـ Two Separate Gene Segments + +88 +00:08:03,830 --> 00:08:08,990 +الذي مسئول عن تصنيعها Two Gene Segments من الـ + +89 +00:08:08,990 --> 00:08:13,390 +Human Genome سموا الـ Segments الأولانية V + +90 +00:08:13,390 --> 00:08:23,630 +Variable وهذه تقوم بتصنيع الـ First 95 Anino Acid + +91 +00:08:23,630 --> 00:08:29,950 +Residue و الـ Joining Segments مسئول عن باقي تصنيع + +92 +00:08:29,950 --> 00:08:33,850 +باقي اللي هو الـ amino acids تحت الـ lighted chain + +93 +00:08:33,850 --> 00:08:38,930 +sequence اللي هم ثلاثة عشر residue at the carboxy + +94 +00:08:38,930 --> 00:08:42,770 +terminal end of the variable region يوجه lighted + +95 +00:08:42,770 --> 00:08:47,090 +chain اللي مسئول عنها الـ variable region في الـ + +96 +00:08:47,090 --> 00:08:50,170 +lighted chain اللي مسؤول عنها two gene segment هم + +97 +00:08:50,170 --> 00:08:54,910 +الـ V الـ variable يعني segment و الـ L segment اللي + +98 +00:08:54,910 --> 00:09:00,080 +هي الـ J segment اللي هي الـ joining واحدة code for + +99 +00:09:00,080 --> 00:09:08,340 +95 amino acid residues وواحدة code for 13 amino + +100 +00:09:08,340 --> 00:09:14,700 +acid residues تنين مع بعض مجموعهم 108 الـ one + +101 +00:09:14,700 --> 00:09:22,520 +variable gene and one J يعني joining جين يرتبطوا + +102 +00:09:22,520 --> 00:09:26,520 +مع بعض are brought together بالنسبة للجنوم البشرى + +103 +00:09:26,520 --> 00:09:32,120 +ما هو الهدف؟ بيشكله واحدة بناء واحدة بناء لـ one + +104 +00:09:32,120 --> 00:09:35,880 +amino acid الهدول بعدين برتبطوا بالـ constant + +105 +00:09:35,880 --> 00:09:41,080 +region gene وبالتالي بيصير في عنا DNA مسئول عن + +106 +00:09:41,080 --> 00:09:46,820 +تصنيع الـ lighted chain كاملة 2 variable واحد + +107 +00:09:46,820 --> 00:09:51,840 +constant وبالتالي كل الـ lighted chain is coded by + +108 +00:09:51,840 --> 00:09:56,880 +this sequence هذا ميكانيزم الوحوش الوحش الوحش الوحش + +109 +00:09:56,880 --> 00:10:04,400 +الوحش الوحش الوحش الوحش + +110 +00:10:04,400 --> 00:10:10,080 +الوحش + +111 +00:10:10,080 --> 00:10:17,280 +الوحش + +112 +00:10:17,280 --> 00:10:19,060 +الوحش الوحش الوحش الوحش الوحش الوحش الوحش الوحش + +113 +00:10:19,060 --> 00:10:21,230 +الوحش الوحش الوحش الوحش الوحش طب شو اللي بيجمع هذه + +114 +00:10:21,230 --> 00:10:24,770 +الجينات مع بعض؟ قالوا في إنزيم اسمه VDJ + +115 +00:10:24,770 --> 00:10:29,990 +-recombinase enzyme هو اللي بيعمل rearrangement لـ + +116 +00:10:29,990 --> 00:10:34,250 +الـ receptor gene in both B and T cell + +117 +00:10:40,000 --> 00:10:44,040 +جينين two types of recombinase موجود في الـ human + +118 +00:10:44,040 --> 00:10:50,180 +genome أو بي سل اللي هم RAG واحد و RAG اثنين بي سل + +119 +00:10:50,180 --> 00:10:54,040 +و تي سل طبعا ما ينطبق على الـ بي ينطبق على الـ تي + +120 +00:10:54,040 --> 00:10:57,800 +اللي هم RAG واحد و RAG اثنين اللي هو two + +121 +00:10:57,800 --> 00:11:03,000 +recombinase enzyme RAG واحد و اثنين بيسموهم + +122 +00:11:03,000 --> 00:11:09,640 +recombination activating gene هم اللي مسؤولين عن + +123 +00:11:09,640 --> 00:11:17,980 +عملية الـ recombination of these segments + +124 +00:11:17,980 --> 00:11:23,200 +الاتنين + +125 +00:11:23,200 --> 00:11:33,500 +RAG واحد RAG اثنين طبعا بيصنعولي protein which is + +126 +00:11:33,500 --> 00:11:35,460 +required for the first stage of cutting + +127 +00:11:36,770 --> 00:11:41,390 +immunoglobulin and TCR DNA هم المسؤولين عن تصنيع ال + +128 +00:11:41,390 --> 00:11:46,230 +DNA + +129 +00:11:46,230 --> 00:11:50,630 +وتجميعه وبالتالي هيدينا ال protein في النهاية + +130 +00:11:50,630 --> 00:11:57,410 +ووجدوا أن ال mice lacking rag gene يسمونه rag + +131 +00:11:57,410 --> 00:12:03,070 +knockout mice لا في عنده بيسل ولا في عنده تيسل + +132 +00:12:04,240 --> 00:12:11,700 +وبالتالي هما مهم جدًا في الـ B و T-Lymphocyte + +133 +00:12:11,700 --> 00:12:16,420 +.عرفنا + +134 +00:12:16,420 --> 00:12:22,040 +إن الـ VDJ Recombinase إنزايم موجودين في الـ B و T + +135 +00:12:22,040 --> 00:12:26,840 +-cell ووظيفتهم الأساسية is repairing of DNA + +136 +00:12:26,840 --> 00:12:34,960 +strands وهي موجودة فقط في الـ B و الـ T لينفوسايتس + +137 +00:12:34,960 --> 00:12:39,100 +يعني وددوهم فقط موجودين في وين في الـ B و الـ T + +138 +00:12:39,100 --> 00:12:45,820 +لينفوسايتس طيب نطبق احنا شفنا ال lighted chain + +139 +00:12:45,820 --> 00:12:55,400 +نشوف الكابا جايب كابا الجين تبعها موجود في كرومزوم + +140 +00:12:55,400 --> 00:13:02,290 +2 كابا لوكاسوالـ Rearrangement للـ أو الـ + +141 +00:13:02,290 --> 00:13:07,070 +Arrangement للكابا gene in the germ line is as + +142 +00:13:07,070 --> 00:13:12,310 +follows وهدوا أنه فيه أربعين different gene + +143 +00:13:12,310 --> 00:13:18,970 +مسئولين عن تصنيع ال variable كابا gene احنا في + +144 +00:13:18,970 --> 00:13:26,170 +عندنا V وJ أربعين فقطللـ variable region اللي هم + +145 +00:13:26,170 --> 00:13:31,130 +coding for core ال first خمسة وتسعين amino acids + +146 +00:13:31,130 --> 00:13:37,610 +في الكابا variable region طبعا هدولة بيسبقهم قطعة + +147 +00:13:37,610 --> 00:13:44,050 +ال leader sequence ماشي و بينهم و بين ال leader + +148 +00:13:44,050 --> 00:13:48,810 +sequence في انترون يعني separated by intron + +149 +00:13:51,950 --> 00:13:56,390 +طبعا في الصورة القادمة إن شاء الله ال leader + +150 +00:13:56,390 --> 00:14:03,230 +محذوفة just for simplicity وهذا هي الصورة اللي + +151 +00:14:03,230 --> 00:14:07,190 +بتبين لي كيف اللي بصير هي ال variable قولناها في + +152 +00:14:07,190 --> 00:14:14,830 +أربعين هي V1 V2 V3 لغاية VN قدش عددهم أربعين ثم في + +153 +00:14:14,830 --> 00:14:19,910 +خمسة gene مسئولين أو موجودين في ال joining region + +154 +00:14:20,350 --> 00:14:25,070 +أي من واحد لخمسة واحد اثنين ثلاثة أربعة خمسة كل + +155 +00:14:25,070 --> 00:14:31,710 +هدولة مسئولين عن تصنيع ال VL أو ال V Kappa المثال + +156 +00:14:31,710 --> 00:14:35,630 +هذا عن Kappa طبعا هدول بيرتبطوا بنين بال constant + +157 +00:14:35,630 --> 00:14:41,450 +اللي موجود المسؤول عن ال ال ال gene اللي مسئول عن + +158 +00:14:41,450 --> 00:14:46,290 +constant region of Kappa lighted chain فبيصير في + +159 +00:14:46,290 --> 00:14:52,770 +عندي variable genesوjoining gene و one constant + +160 +00:14:52,770 --> 00:14:58,510 +gene هذا الكلام مين بيصير؟ في ال germ line they + +161 +00:14:58,510 --> 00:15:02,490 +are usually unrearranged لكن during + +162 +00:15:02,490 --> 00:15:10,530 +differentiation بيصير لهم rearrangement يعني during + +163 +00:15:10,530 --> 00:15:15,050 +maturation of B lymphocyte بيصير فيه rearrangement + +164 +00:15:15,050 --> 00:15:20,740 +لمين؟ لهذه الجيناتفبجينا شوية جينات V1 V2 من ال + +165 +00:15:20,740 --> 00:15:24,860 +segment هذي وجي أربعة وجي خمسة من ال segment بتاعة + +166 +00:15:24,860 --> 00:15:28,940 +الجي برضه بيضلوا مرتبطين مع one constant gene of + +167 +00:15:28,940 --> 00:15:33,460 +each of kappa طبعا بعد هيكة بس اللي هم + +168 +00:15:33,460 --> 00:15:39,060 +transcription اللي هذي بتتصفط الجينات صفطت واتصفيت + +169 +00:15:39,060 --> 00:15:44,280 +عشوائي بالمناسبة فكل مرة بيكون جينات مختلفةبسبب + +170 +00:15:44,280 --> 00:15:47,520 +الـ Transcription هو بيكونه الـ Primary RNA + +171 +00:15:47,520 --> 00:15:51,500 +Transcript هذا هو يظل one variable gene و اثنين + +172 +00:15:51,500 --> 00:15:56,820 +joining مع constant وهذا طبعا ال RNA هو عبارة عن + +173 +00:15:56,820 --> 00:16:01,540 +Primary RNA which is a crude RNA بس له splicing + +174 +00:16:01,540 --> 00:16:06,440 +فبيظل عندنا one variable one joining مع one + +175 +00:16:06,440 --> 00:16:11,680 +constant gene و هذا بيسموه ال mature messenger RNA + +176 +00:16:13,030 --> 00:16:16,570 +اللي بعد ذلك بيروح سلو ترانسليشن في الاندوبلازميك + +177 +00:16:16,570 --> 00:16:20,990 +راتيكولام و بيصنع ليه البروتين اللي بيتكون هيه من + +178 +00:16:20,990 --> 00:16:27,430 +جزء variable كابا و جزء constant كابا هذه عبارة عن + +179 +00:16:27,430 --> 00:16:34,770 +polypeptide chain of كابا lighted chain وهذا + +180 +00:16:34,770 --> 00:16:36,590 +التسلسل الطبيعي لتصنيع + +181 +00:16:39,790 --> 00:16:44,030 +طبعاً زي ما اتفقنا خلاص جينات موجودين في الـ J + +182 +00:16:44,030 --> 00:16:47,670 +segment وكل + +183 +00:16:47,670 --> 00:16:55,750 +جين من الـ J segment code for ثلاثة عشر amino acid + +184 +00:16:55,750 --> 00:17:04,210 +residue من ال 96 لغاية ال 108 على الـ Variable + +185 +00:17:04,210 --> 00:17:08,410 +Region بعد + +186 +00:17:08,410 --> 00:17:13,990 +ذلك يأتي الـ Constant الذي بعد ذلك يرتبط بالـ + +187 +00:17:13,990 --> 00:17:18,410 +Constant Gene Segment لتصميم + +188 +00:17:18,410 --> 00:17:26,730 +الـ JK Gene Segment أخيرًا + +189 +00:17:26,730 --> 00:17:34,910 +لتصميم الكابا تشين لأنقل سل بسل لينجبتعمل selection + +190 +00:17:34,910 --> 00:17:44,710 +لـ one variable كابا gene from its DNA وهذا يرتبط + +191 +00:17:44,710 --> 00:17:52,710 +physically بـ one جين من الـ J كابا segment وبصير + +192 +00:17:52,710 --> 00:17:57,290 +في rearrangement للاثنين على زي ما شفنا في figure 6 + +193 +00:17:57,290 --> 00:18:03,950 +.2 إيجا V2 مع J4 وبدأ يشتغل طبعا اللي عمل هذه + +194 +00:18:03,950 --> 00:18:10,530 +التصفيطة أو التجميعة هو ال VDJ Recombines Enzyme و + +195 +00:18:10,530 --> 00:18:15,770 +اللي بيعمل Joining it usually recognizes + +196 +00:18:15,770 --> 00:18:22,850 +recombination sequence اللي طبعا which is located + +197 +00:18:22,850 --> 00:18:28,550 +in the variable and J gene segment كما شفنا بالظبط + +198 +00:18:28,550 --> 00:18:30,650 +في الفيجر السابق + +199 +00:18:33,570 --> 00:18:39,670 +العملية تجميع أن اثنين يتحركوا ويتجمعوا جنب بعض + +200 +00:18:39,670 --> 00:18:44,830 +ويتصفطوا جنب بعض بتتم من خلال اللي هو ال looping + +201 +00:18:44,830 --> 00:18:50,030 +of DNA كذا بتتم عملية ال looping جنب ال DNA بيلف + +202 +00:18:50,030 --> 00:18:57,030 +حولين نفسه ماشي و بيلف ب system معين أما ب one + +203 +00:18:57,030 --> 00:19:03,690 +turn لفة واحدة أو لفتين لغاية ما يصلقاش لتقريب الـ + +204 +00:19:03,690 --> 00:19:10,430 +V2 مع الـ J4 بعد ذلك يوجد Restriction enzyme يقطع + +205 +00:19:10,430 --> 00:19:17,010 +ال loop و يدلل ال gene تبع V2 مع J4 مرتبط مع الـ + +206 +00:19:17,010 --> 00:19:28,440 +J4 وهي V1 V2 J4 J5 والباقية كلها مقطعة قراءة يبقى + +207 +00:19:28,440 --> 00:19:32,460 +عملية تصفيط الجينات وتجميع حجم بعيد بتتم من خلال + +208 +00:19:32,460 --> 00:19:38,460 +restriction enzyme ماشي أولاً بيصير looping لل loop + +209 +00:19:38,460 --> 00:19:44,540 +formation by making either one turn or two turn + +210 +00:19:45,060 --> 00:19:50,240 +طبعاً لفة أو لفتين لل DNA وطبعا بيجي ال + +211 +00:19:50,240 --> 00:19:54,100 +restriction enzyme بيقطع هذه ال loop و بيجي بعد + +212 +00:19:54,100 --> 00:20:02,980 +هيك ال recombinase enzyme بيجمع الجينات جنب عيد هي + +213 +00:20:02,980 --> 00:20:07,120 +بالظبط زي ما شرحنا ال intervening DNA is looped في + +214 +00:20:07,120 --> 00:20:12,940 +slow looping ثم cut out and broken down بنقطة و + +215 +00:20:12,940 --> 00:20:14,600 +after rearrangement + +216 +00:20:16,800 --> 00:20:21,260 +بيصير فيه Primary RNA Transcript عادي مثلا الـ + +217 +00:20:21,260 --> 00:20:27,860 +Slicing و بالتالي بيصير فينا V Kappa و J Kappa و C + +218 +00:20:27,860 --> 00:20:31,900 +Kappa زي ما شفنا في ال figure في ال mature + +219 +00:20:31,900 --> 00:20:35,190 +messenger RNA اللي بيروح على الـ endoplasmic + +220 +00:20:35,190 --> 00:20:41,550 +reticulum بس تصل هناك الـ L الـ leader sequence is + +221 +00:20:41,550 --> 00:20:46,410 +cleaved off وبالتالي المسنجر نيبسله translation + +222 +00:20:46,410 --> 00:20:53,450 +into كابا بوليبيبتايد chain هلال كابا chain + +223 +00:20:53,450 --> 00:20:57,450 +اللي اتكونت بتنتقل إلى الـ Lumen of Endoplasmic + +224 +00:20:57,450 --> 00:21:00,990 +reticulum و هناك بيكون فيه already heavy chain + +225 +00:21:00,990 --> 00:21:05,530 +اتصنعت فبتتبط فيها و بيكونوا ال immunoglobulin + +226 +00:21:05,530 --> 00:21:11,130 +كامل ما ينطبق على ال light chain ينطبق على ال + +227 +00:21:11,130 --> 00:21:17,810 +heavy chain لكن فيه متغيرين متغير الأولاني أي + +228 +00:21:17,810 --> 00:21:22,410 +الفيجر كامل في عندنا ال variable region اللي مشغول + +229 +00:21:22,410 --> 00:21:27,990 +عن تصنيع ال heavy chain coded by three gene segment + +230 +00:21:27,990 --> 00:21:35,130 +مش two ايه ال variable وفي عندي D segment اللي هي + +231 +00:21:35,130 --> 00:21:41,850 +diversity ثم joining اللي هي J segment وايه زي ما + +232 +00:21:41,850 --> 00:21:45,970 +انتوا شايفين ال variable فيها تقريباً خمسين gene في + +233 +00:21:45,970 --> 00:21:48,570 +بعض المرات بتقول الف gene يشترك في ال variable + +234 +00:21:48,570 --> 00:21:53,810 +region و ال diversity لل heavy فيها حوالي عشرين + +235 +00:21:53,810 --> 00:22:00,170 +gene والـ Joining Segment فيها حوالي ستة جين يبقى + +236 +00:22:00,170 --> 00:22:04,570 +أول اختلاف أن الـ Variable Region فيها ثلاثة جين + +237 +00:22:04,570 --> 00:22:06,810 +segment instead of اثنين gene segment instead of اثنين + +238 +00:22:06,810 --> 00:22:11,830 +gene segment في الـ Heavy في ثلاثة gene segment + +239 +00:22:14,640 --> 00:22:19,360 +في الـ lighted chain هذه الـ segments ترتبط بـ one + +240 +00:22:19,360 --> 00:22:22,720 +constant gene هنا بترتبط بتسعة different constant + +241 +00:22:22,720 --> 00:22:28,200 +gene لأن في عندنا تسعة different type or class and + +242 +00:22:28,200 --> 00:22:33,000 +subclass of immunoglobulin في عندنا الـ mu و ال + +243 +00:22:33,000 --> 00:22:38,300 +delta جاما ثلاثة جاما واحد alpha one جاما two + +244 +00:22:38,300 --> 00:22:42,760 +جاما four epsilon alpha two و هكذا ماشي + +245 +00:22:45,050 --> 00:22:52,610 +دول تسعة different gene وبالتالي بيصير في عندنا في + +246 +00:22:52,610 --> 00:22:58,410 +ال .. موجود في عندنا في ال germ line DNA before a + +247 +00:22:58,410 --> 00:23:03,250 +rearrangement already موجود جينات مسئولة عن هذه عن + +248 +00:23:03,250 --> 00:23:11,170 +ال heavy gene كاملة constant و variable طبعا في ال + +249 +00:23:11,170 --> 00:23:16,720 +differentiated B lymphocytes و مرة ثانية بنذكر ما + +250 +00:23:16,720 --> 00:23:20,000 +ينطبق على ال T ينطبق على ال TCR ال P يعني ينطبق + +251 +00:23:20,000 --> 00:23:26,600 +على الـ T بصيحى rearrangement للـ gene فالـ variable + +252 +00:23:26,600 --> 00:23:29,740 +هدا هنا أخدنا واحد من الـ variable region و الـ + +253 +00:23:29,740 --> 00:23:33,160 +diversity أخدنا واحد الـ joining still تانين + +254 +00:23:33,160 --> 00:23:37,280 +مرتبطين بكل الـ constant gene هاي التصفيطة لسه مش + +255 +00:23:37,280 --> 00:23:42,200 +عارفين أي class من الـ antibody بده يتصنع في الغالب + +256 +00:23:42,200 --> 00:23:47,820 +زي ما أنتم لاحظين أول اثنين من الـ constant gene هم + +257 +00:23:47,820 --> 00:23:53,120 +عبارة عن ميو دلتا هم أول من يتصنعوا ماشي بيصير الـ + +258 +00:23:53,120 --> 00:24:00,300 +transcription وهي الـ VDJ مرتبطة بالميو دلتا ثم في + +259 +00:24:00,300 --> 00:24:06,560 +الـ splicing كل لن ينقسم على حد بدينه two mature + +260 +00:24:06,560 --> 00:24:12,080 +messenger RNA واحد مسؤول عن تصنيع الـ Mew Chain ده + +261 +00:24:12,080 --> 00:24:18,240 +هو VDJ Variable مرتبط بالكونستان جين of Mew وواحد + +262 +00:24:18,240 --> 00:24:22,460 +Messenger RNA آخر مسؤول عن + +263 +00:24:22,460 --> 00:24:28,540 +تصنيع الـ Delta Chain وهي VDJ Delta + +264 +00:24:28,540 --> 00:24:35,420 +طبعا Translation بيطلع لنا اللي هو الـ Mew Chain و + +265 +00:24:35,420 --> 00:24:42,260 +Delta Chain of both immunoglobulin عشان هيك أول ما + +266 +00:24:42,260 --> 00:24:50,820 +يظهر على الـ B lymphocyte surface هو both IgM و IgD + +267 +00:24:50,820 --> 00:24:56,680 +طيب أنا شرحت لكم الـ figure خلينا نشوف ايش اللي + +268 +00:24:56,680 --> 00:25:03,040 +كتبناه في هذا الموضوع الـ figure shows the + +269 +00:25:03,040 --> 00:25:06,160 +organization of gene coding for the heavy متفق + +270 +00:25:06,160 --> 00:25:06,440 +عليه + +271 +00:25:09,750 --> 00:25:13,190 +بالمقارنة مع الـ variable region of light chain + +272 +00:25:13,190 --> 00:25:18,390 +اللي مسؤول عن تصنيح الـ two gene segment هنا الـ + +273 +00:25:18,390 --> 00:25:21,530 +variable region of heavy chain is constructed from + +274 +00:25:21,530 --> 00:25:28,490 +three gene segment الـ V والـ D والـ J دي denote for + +275 +00:25:28,490 --> 00:25:33,650 +the diversity ماشي هي عبارة عن extra segment دخلت + +276 +00:25:33,650 --> 00:25:38,680 +على الخط ما يحدث هو عملية تصفيت للجينات على مرحلتين + +277 +00:25:38,680 --> 00:25:43,540 +أول شيء بيمسك الـ D مع الـ J and they code for amino + +278 +00:25:43,540 --> 00:25:47,040 +acid sequence in the third hypervariable region + +279 +00:25:47,040 --> 00:25:52,880 +من الآخر أو بيسمونها complementary determining + +280 +00:25:52,880 --> 00:25:57,020 +region of the heavy chain ثم هؤلاء اللي بيرتبطوا + +281 +00:25:57,020 --> 00:25:59,700 +مع الـ V gene + +282 +00:26:01,860 --> 00:26:05,720 +وقلنا الـ variable include فوق خمسين different + +283 +00:26:05,720 --> 00:26:11,980 +variable heavy chain gene وبالتالي بياخدوا one + +284 +00:26:11,980 --> 00:26:19,660 +gene فبيصير في عندنا تصفيتة للـ variable ثم مرتبطة + +285 +00:26:19,660 --> 00:26:24,660 +مع مين أو الـ DJ ارتبطت مع الـ variable gene وفي + +286 +00:26:24,660 --> 00:26:29,060 +النهاية بتكوين لي DNA sequence طبعا في خمسين + +287 +00:26:29,060 --> 00:26:33,370 +different variable heavy chain عشرين مختلفة مختلفة + +288 +00:26:33,370 --> 00:26:37,170 +وستة مختلفة مجتمعة مختلفة مختلفة مختلفة مختلفة + +289 +00:26:37,170 --> 00:26:39,830 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +290 +00:26:39,830 --> 00:26:52,970 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +291 +00:27:01,840 --> 00:27:08,760 +و الـ Intron هو عبارة عن Large Intron Area لكن أول + +292 +00:27:08,760 --> 00:27:14,480 +اثنين من الـ constant region gene هم الـ New Delta و + +293 +00:27:14,480 --> 00:27:19,600 +هم أول ما يتصنعوا في الـ developing B lymphocytes + +294 +00:27:19,600 --> 00:27:25,540 +طب أنا برضه نفس الحكاية عملية التصفيت بيتخللها أو + +295 +00:27:25,540 --> 00:27:31,180 +بيكون مسؤول عنها الـ VDJ recombinase enzyme هو اللي + +296 +00:27:31,180 --> 00:27:38,800 +بيربط الـ different gene segment مع بعض و زي ما + +297 +00:27:38,800 --> 00:27:46,280 +اتفقنا أن التصفيطة بتتم على مرحلتين أول حاجة أول + +298 +00:27:46,280 --> 00:27:55,040 +مرحلة بتتم ارتباط الـ D segment مع الـ J segment اللي + +299 +00:27:55,040 --> 00:27:58,360 +بعد هيك برتبطه بالـ V segment مع بعض + +300 +00:28:01,040 --> 00:28:03,260 +عند إعادة الـ DNA بعد ذلك يحصل على + +301 +00:28:03,260 --> 00:28:07,780 +ترانسكريبشن وترانسكريبشن + +302 +00:28:07,780 --> 00:28:13,600 +يتم تحويله إلى أول اثنين من الاصطناع الموجودة في + +303 +00:28:13,600 --> 00:28:18,920 +الميو والدلتا يتكون لبريماري ترانسكريبت اللي بعد + +304 +00:28:18,920 --> 00:28:23,820 +ذلك يحصل على سليسينج ويتكون لتو ميسنجر RNA ماتشور + +305 +00:28:23,820 --> 00:28:26,920 +ميسنجر RNA واحد مسؤول عن الميو واحد مسؤول عن + +306 +00:28:26,920 --> 00:28:31,360 +الدلتا بعد ذلك بيصل لهم translation و بيروح عليها + +307 +00:28:31,360 --> 00:28:40,340 +بلازم كرتكولين وبيكونوا إما مو وبيكون دلتا طبعا + +308 +00:28:40,340 --> 00:28:45,960 +في هذه الحالة any individual will express both مو + +309 +00:28:45,960 --> 00:28:52,200 +و دلتا with identical antigenic specificity اثنين + +310 +00:28:52,200 --> 00:28:56,510 +زي بعض عشان هيك الاثنين موجودين على خلية واحدة + +311 +00:28:56,510 --> 00:28:59,470 +والخلية هي specific for one antigen فالـ + +312 +00:28:59,470 --> 00:29:08,250 +specificity واحدة في الاثنين الـ طبعا + +313 +00:29:08,250 --> 00:29:11,590 +بعد هيك بيصير في splicing للـ heavy chain primary + +314 +00:29:11,590 --> 00:29:16,030 +transcript وبعد هيك بتكون اللي هو الميو دلتا + +315 +00:29:16,030 --> 00:29:18,110 +which is the secreted form of a heavy chain + +316 +00:29:18,110 --> 00:29:23,410 +polypeptide الـ two additional exons are found at + +317 +00:29:23,410 --> 00:29:27,250 +the 3' ends of each constant heavy chain gene + +318 +00:29:27,250 --> 00:29:31,090 +they are not shown خلاص احنا أخذنا أول اثنين و + +319 +00:29:31,090 --> 00:29:36,510 +الباقي كله راح بعدين في عندنا Transmembrane form + +320 +00:29:36,510 --> 00:29:41,310 +of the molecule and a constant terminal end of the + +321 +00:29:41,310 --> 00:29:47,730 +secreted form of the molecule الثانية الـ Exon هم + +322 +00:29:47,730 --> 00:29:53,270 +مقررين بالترجمة الأساسية لكن واحد منهم هو اللي + +323 +00:29:53,270 --> 00:30:00,130 +بسله splicing out وفي النهاية بيصير messenger RNA + +324 +00:30:00,130 --> 00:30:08,690 +ماشي بيكون لي الـ heavy chain polypeptide بهيك + +325 +00:30:08,690 --> 00:30:14,300 +شفنا how can light chain and heavy chain be + +326 +00:30:14,300 --> 00:30:19,000 +produced in the B lymphocytes كل على حدى وشوفنا + +327 +00:30:19,000 --> 00:30:23,620 +الاختلافات اللي موجودة ما بين الـ light + +328 +00:30:23,620 --> 00:30:29,520 +chain و heavy chain production method طيب how can + +329 +00:30:29,520 --> 00:30:37,100 +this procedure be regulated في أنها كم نقطة مسؤولة + +330 +00:30:37,100 --> 00:30:43,030 +عن الـ regulation أول نقطة أن كل B lymphocyte تستخدم + +331 +00:30:43,030 --> 00:30:49,770 +only one set of VDJ gene for light chain + +332 +00:30:49,770 --> 00:30:54,870 +وبالتالي + +333 +00:30:54,870 --> 00:31:01,950 +النتيجة كل B lymphocyte بتطلع لنا light chain + +334 +00:31:01,950 --> 00:31:08,450 +with only one antigenic specificity يعني في كل مرة + +335 +00:31:08,450 --> 00:31:12,920 +الـ جينات بتصفطوا تصفيتها معينة وفي كل مرة بيدونا one + +336 +00:31:12,920 --> 00:31:16,040 +antigenic specificity سواء كان الـ light ولا الـ + +337 +00:31:16,040 --> 00:31:22,140 +heavy الحاجة الثانية immunoglobulin are coded only + +338 +00:31:22,140 --> 00:31:27,860 +by one set of gene قلناها وهذه الجينات شوفوا + +339 +00:31:27,860 --> 00:31:32,810 +مصدرها إما maternal وإما paternal وهذه اختلاف آخر + +340 +00:31:32,810 --> 00:31:36,550 +جاي في على الخط يمكن الأولاني أن اتصفطنا الجينات + +341 +00:31:36,550 --> 00:31:40,590 +تصفيطة واحدة وفي كل مرة تصفيط عشوائي بالمناسبة وفي + +342 +00:31:40,590 --> 00:31:45,190 +كل مرة بنختار تصفيطة معينة الحاجة الثانية أن هذه + +343 +00:31:45,190 --> 00:31:50,290 +الـ جينات إما جاية من الـ maternal origin or paternal + +344 +00:31:50,290 --> 00:31:54,990 +فالـ .. وعلى سبيل المثال ممكن هي بتكون جاية من الـ + +345 +00:31:54,990 --> 00:31:58,350 +paternal ولا هي بتكون جاية من ايش؟ من الـ maternal + +346 +00:31:59,560 --> 00:32:04,760 +ويسموا هذه الظاهرة الـ Allelic Exclusion Phenomena + +347 +00:32:04,760 --> 00:32:11,000 +Allelic Exclusion يعني ايش؟ يعني احنا بنستثني one + +348 +00:32:11,000 --> 00:32:17,040 +set of DNA gene وخصوصا بتتم هذه الحكاية إذا كان + +349 +00:32:17,040 --> 00:32:23,980 +فشل الـ transcription أو فشل التصنيع لاحد الجينات + +350 +00:32:23,980 --> 00:32:27,180 +اللي جاية من الأب على طول بيستبدلوها بجينات جاية + +351 +00:32:27,180 --> 00:32:34,340 +من الأم إذا فشلت عملية التجارب في واحد الكروموسوم، + +352 +00:32:34,340 --> 00:32:40,140 +فسيستمر الكروموسوم الثاني بالتجارب في التجارب. + +353 +00:33:00,670 --> 00:33:10,970 +is specific only for one epitope فقط class + +354 +00:33:10,970 --> 00:33:17,190 +or isotype switching احنا بنعرف ايش + +355 +00:33:17,190 --> 00:33:21,400 +الـ isotype switching عملية اللي هو switch تغيير + +356 +00:33:21,400 --> 00:33:27,440 +الـ antibody اللي صنعت يعني كيف ممكن احنا نصنع + +357 +00:33:27,440 --> 00:33:32,080 +antibody من نوعية معينة وبعدين هي تصنعها كيف الـ IgM + +358 +00:33:32,080 --> 00:33:39,480 +بيجلب الـ IgG أو IgA أو IgE أو whatever خلينا نشوف + +359 +00:33:39,480 --> 00:33:42,200 +أن الـ one B cell makes antibody in a single + +360 +00:33:42,200 --> 00:33:45,880 +specificity متفق عليه كل B lymphocyte بتطلع لنا one + +361 +00:33:45,880 --> 00:33:53,230 +specific antibody هو مقرر من طبيعة الـ VJ للضوء + +362 +00:33:53,230 --> 00:33:59,510 +والـ VDJ للهيوي يعني المسؤول عن هذا التصنيع هي الـ + +363 +00:33:59,510 --> 00:34:02,290 +Variable Region سواء كانت في الضوء ولا في الهيوي + +364 +00:34:02,290 --> 00:34:05,610 +الـ + +365 +00:34:05,610 --> 00:34:09,630 +Rearrangement اللي حصلت هذه بتصير في بياب الـ + +366 +00:34:09,630 --> 00:34:14,170 +Antigen وبتصير during B-cell differentiation + +367 +00:34:17,570 --> 00:34:21,510 +النتيجة بنصنع في هذه المرحلة two types of antibody + +368 +00:34:21,510 --> 00:34:26,350 +هو IgM و IgD and they both have the same antigenic + +369 +00:34:26,350 --> 00:34:34,270 +specificity وبالتالي أن individual B cell عندها + +370 +00:34:34,270 --> 00:34:38,330 +القدرة تسويش اه to make different class of + +371 +00:34:38,330 --> 00:34:42,310 +antibody وبالتالي عندها القدرة انها تصنع انها IgG, + +372 +00:34:42,450 --> 00:34:47,380 +IgE, IgA يسموا هذه الظاهرة عن طريق التغيير الايضوي + +373 +00:34:47,380 --> 00:34:48,860 +أو التغيير الايضوي أو التغيير الايضوي أو التغيير + +374 +00:34:48,860 --> 00:34:52,440 +الايضوي أو التغيير الايضوي أو + +375 +00:34:52,440 --> 00:34:54,320 +التغيير الايضوي أو التغيير الايضوي أو التغيير + +376 +00:34:54,320 --> 00:34:55,260 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +377 +00:34:55,260 --> 00:34:56,140 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +378 +00:34:56,140 --> 00:34:57,560 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +379 +00:34:57,560 --> 00:34:58,380 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +380 +00:34:58,380 --> 00:35:00,380 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +381 +00:35:00,380 --> 00:35:04,580 +التغيير العزيزي أو التغيير العزيزي وتدّيني Antibody + +382 +00:35:04,580 --> 00:35:10,400 +جديد الخلية the specificity تبعت ال Antibody لتصنع + +383 +00:35:10,400 --> 00:35:17,140 +الجديد بيكون have the same specificity as IgM وIgD + +384 +00:35:17,140 --> 00:35:21,620 +ال + +385 +00:35:21,620 --> 00:35:24,700 +class switching phenomena بتصير في قدر ال + +386 +00:35:24,700 --> 00:35:30,360 +stimulated شوية لأولانى اللى بتتم التصنيعللـ IgM + +387 +00:35:30,360 --> 00:35:36,700 +والـ IgD في رياب اللي هو الـ Antigen لكن يوم ما + +388 +00:35:36,700 --> 00:35:41,380 +تعمل Switching لل Antibody بتصير في وجود الـ + +389 +00:35:41,380 --> 00:35:48,080 +Antigen Stimulated ماتور بـ Cells وبالتالي بيصير + +390 +00:35:48,080 --> 00:35:58,020 +في تصفيطة جديدة للجينات وكل + +391 +00:35:58,020 --> 00:36:02,750 +ما هناك أن نفس الـ VDG اللي مسؤول عن الـ Variable + +392 +00:36:02,750 --> 00:36:08,550 +Region بيمسكوا في الـ New Constant Region Gene + +393 +00:36:08,550 --> 00:36:14,790 +يعني الـ Variable بتتأثرش، بتضل زي ما هي عشان أيه + +394 +00:36:14,790 --> 00:36:18,310 +بنقول Have The Same Specificity لكن كل ما هناك الـ + +395 +00:36:18,310 --> 00:36:23,310 +VDG Segments اللي اتكونت بترتبط بـ New Constant + +396 +00:36:23,310 --> 00:36:27,290 +Gene فبالتالي بتغير ال class، بتغير ال class + +397 +00:36:29,430 --> 00:36:33,530 +In addition to Antigen يجب أن يكون هناك Antigen + +398 +00:36:33,530 --> 00:36:39,030 +مسئول عن هذه العملية في حاجة تانية برضه بتؤثر على + +399 +00:36:39,030 --> 00:36:41,430 +class switching phenomena وهي الـ cytokine + +400 +00:36:41,430 --> 00:36:45,570 +released by T lymphocyte + +401 +00:36:46,670 --> 00:36:49,650 +يحاولون أن يلعبوا دور كبير في الـ Class Switching + +402 +00:36:49,650 --> 00:36:55,090 +الانتجين والـ cytokine اللي موجود الـ cytokine + +403 +00:36:55,090 --> 00:36:58,550 +induce further development هو اللي مسؤول عن تصفيته + +404 +00:36:58,550 --> 00:37:02,890 +الجديدة من الـ DNA وي produce switching to other + +405 +00:37:02,890 --> 00:37:08,110 +immunoglobulin class بمسكه في الـ U Constantly + +406 +00:37:08,110 --> 00:37:14,450 +وبالتالي بيغيروا ال class وطبعا هذا + +407 +00:37:14,450 --> 00:37:15,690 +الكلام بيعتمد + +408 +00:37:22,730 --> 00:37:30,390 +الفكرة القادمة ان شاء الله هي 6.5 بيبين لنا كيف + +409 +00:37:30,390 --> 00:37:36,730 +ميكانيزم كيف بيصير ال match وبيلنق صحيح تحت class + +410 +00:37:36,730 --> 00:37:43,840 +switching وزي ما انتوا شايفين هي ال VDG مسك فيه في + +411 +00:37:43,840 --> 00:37:47,420 +الـ Mu و Delta أول اتنين و بصنعهم في غياب الـ + +412 +00:37:47,420 --> 00:37:52,020 +Antigen يوم ما يصير فيه Antigen و يصير فيه New + +413 +00:37:52,020 --> 00:37:59,300 +Rearrangement نفس الـ PDG هذا راح مسك فيه في الـ + +414 +00:37:59,300 --> 00:38:04,300 +Gamma 1 يعني IGG1 يعني هان أول كان يصنعني Mu و + +415 +00:38:04,300 --> 00:38:11,670 +Delta وجدت Gamma 1 اللي بدها تديني IGG1 وزي ما + +416 +00:38:11,670 --> 00:38:15,710 +انتوا شايفين العملية بالتم كالقاتى او عملية + +417 +00:38:15,710 --> 00:38:20,410 +التحديد بالتم كالقاتى وجدوا انه ال constant gene + +418 +00:38:20,410 --> 00:38:24,590 +segment هذه اللي هي عبارة عن coding for تسعة + +419 +00:38:24,590 --> 00:38:28,870 +different constant gene ما بين كل ال gene والتاني + +420 +00:38:28,870 --> 00:38:33,190 +في repeated sequence اسمه S or switch region أي + +421 +00:38:33,190 --> 00:38:39,160 +المنطقة السوداء وهي عبارة عن القائد من يقود اللي هو + +422 +00:38:39,160 --> 00:38:44,560 +ارتباط الـ VDG بالـ constant gene هذا الكلام موجود + +423 +00:38:44,560 --> 00:38:47,780 +بين كل constant gene والتاني معدى لميو و الدلتا + +424 +00:38:47,780 --> 00:38:53,420 +عشان هيك يوم ما يمسك ال VDG بال switch region of + +425 +00:38:53,420 --> 00:38:58,780 +اول واحدة بصنع المتنين مع بعض لميو و الدلتا لكن + +426 +00:38:58,780 --> 00:39:03,600 +يوم ما يمسك في Any other search region قدام بمسك + +427 +00:39:03,600 --> 00:39:13,280 +فقط بصنعنا ال class او ال body اللي مسك فيه على + +428 +00:39:13,280 --> 00:39:20,320 +سبيل المثال هذا مسك في جامعة one طبعا هي ال VDJ5 + +429 +00:39:20,320 --> 00:39:23,520 +V2D2J5 + +430 +00:39:23,520 --> 00:39:27,700 +مسكت في مين في جامعة one الباقي بيسأل + +431 +00:39:27,700 --> 00:39:32,110 +determination عنده أي سلوك Transcription وظل عندنا + +432 +00:39:32,110 --> 00:39:36,170 +VDJ ماسك في Gamma 1 اللي بيدينا في النهاية + +433 +00:39:36,170 --> 00:39:40,910 +Messenger Match و ال Messenger راني مسئول عن ده هو + +434 +00:39:40,910 --> 00:39:48,310 +صفته خالص V1 V2 VD2 J5 and Gamma 1 هيطلع عندنا + +435 +00:39:48,310 --> 00:39:54,910 +IGG1 وهي الشريح يحكي لآياتي at the five prime end + +436 +00:39:54,910 --> 00:39:58,350 +of each every heavy chain constant region + +437 +00:40:01,450 --> 00:40:07,730 +ماشي جين معدى يعني at the five prime عند كل + +438 +00:40:07,730 --> 00:40:13,010 +constant فيه بتشين جين معدى ال constant اللي هو + +439 +00:40:13,010 --> 00:40:18,610 +delta بين delta و mu في منطقة بيسموها stretch + +440 +00:40:18,610 --> 00:40:23,970 +switch region وهي عبارة عن stretch of repeating + +441 +00:40:23,970 --> 00:40:31,550 +base sequence طبعا this region S region هي من يسمح + +442 +00:40:31,550 --> 00:40:39,790 +of any constant heavy chain gene ماشي قلنا معاها + +443 +00:40:39,790 --> 00:40:44,370 +ده constant delta to associate with the VDJ unit + +444 +00:40:44,370 --> 00:40:50,590 +وبالتالي بيصير في عنا only the constant heavy gene + +445 +00:40:50,590 --> 00:40:55,130 +Gamma 1 Gamma 3 طب الأولى يعني كله انحذف + +446 +00:40:58,750 --> 00:41:02,730 +Under the Stimulating Influence of Antigen + +447 +00:41:02,730 --> 00:41:09,830 +Antiderived T Cell Derived Cytokine قلنا تحت تأثير + +448 +00:41:09,830 --> 00:41:13,350 +اللي هو مين الانتيجن والكائن اللي طالع من ال T + +449 +00:41:13,350 --> 00:41:18,370 +Cell ايش اللي بيصير قالولا بيسل with the VDG unit + +450 +00:41:18,370 --> 00:41:27,340 +Linked Cµ وC دلتا بيصير في ارثر rearrangement عشان + +451 +00:41:27,340 --> 00:41:34,900 +الـ VDJ الجديد اللي موجود يرتبط بـ S region in + +452 +00:41:34,900 --> 00:41:39,240 +front في مقدمة أي other constant heavy region gene + +453 +00:41:39,240 --> 00:41:46,160 +وفي ال figure كان Gamma 1 طبعا بعد ذلك ال primary + +454 +00:41:46,160 --> 00:41:50,540 +RNA transcript is made from rearranged DNA و ال + +455 +00:41:50,540 --> 00:41:55,040 +introns are spliced out وطلعنا mature messenger + +456 +00:41:55,040 --> 00:42:01,820 +RNA اللي وش كود for IGG-1 Heavy Chain وطبعا + +457 +00:42:01,820 --> 00:42:07,960 +intervening C-region DNA is removed في هذه الحالة + +458 +00:42:07,960 --> 00:42:12,540 +أو في هذه المرحلة The cell loses its ability to + +459 +00:42:12,540 --> 00:42:16,940 +revert to making a class of antibody whose + +460 +00:42:16,940 --> 00:42:20,740 +constant region gene has been deleted اللي انمحى + +461 +00:42:20,740 --> 00:42:26,450 +اللي انحزف من الـ constant gene ما بنفع الخلية ترجع + +462 +00:42:26,450 --> 00:42:31,890 +تصنع منه تاني Class + +463 +00:42:31,890 --> 00:42:35,350 +Class switching is a mechanism unique to immunoglobulin + +464 +00:42:35,350 --> 00:42:40,250 +heavy chain أو B cell and it allows an + +465 +00:42:40,250 --> 00:42:43,710 +antibody with a single antigenic specificity to + +466 +00:42:43,710 --> 00:42:46,070 +associate with variety of different constant + +467 +00:42:46,070 --> 00:42:51,470 +region in a chain وبالتالي بيصير فينا different + +468 +00:42:51,470 --> 00:42:56,760 +effector function هو مثال على ذلك يعني ال VDG unit + +469 +00:42:56,760 --> 00:43:01,320 +specific for bacterial antigen may be linked by + +470 +00:43:01,320 --> 00:43:08,440 +constant gamma بتطلعنا IGG وطبعا ال IGG هذا دي + +471 +00:43:08,440 --> 00:43:11,820 +ارتبط مع ال macro phase اللي لها receptor لل FC + +472 +00:43:11,820 --> 00:43:13,820 +portion of IGG + +473 +00:43:16,370 --> 00:43:24,110 +the same VDG VDJ ممكن ترتبط بال constant epsilon + +474 +00:43:24,110 --> 00:43:30,530 +gene عشان تطلعني IGE اللي أيضا له receptor على سطح + +475 +00:43:30,530 --> 00:43:38,590 +ال muscle ل ال FC epsilon region ال cytokine جميعا + +476 +00:43:38,590 --> 00:43:42,090 +بلعب دور كبير في عملية ال class switching على سبيل + +477 +00:43:42,090 --> 00:43:48,690 +المثال يوم تفريذ النجام انترفيرون الـ B-Lymphocytes + +478 +00:43:48,690 --> 00:43:57,430 +يتعاملون مع جيناتها لتعامل مع جامعة 2 جينات مستمرة + +479 +00:43:57,430 --> 00:44:03,010 +وبالتالي الـ B-Lymphocytes يتعاملون مع IGG2 + +480 +00:44:03,010 --> 00:44:08,090 +-Synthesis لو كان الـ cytokine IL4 يتطلع لنا يا + +481 +00:44:08,090 --> 00:44:17,830 +إما IGG4 يا إما IGE كل كائن الـ cytokine هو يفكر في + +482 +00:44:17,830 --> 00:44:28,450 +خسارة مصادر الـDNA الـDouble Helix الـDNA + +483 +00:44:28,450 --> 00:44:44,390 +الـDouble + +484 +00:44:44,390 --> 00:44:45,730 +Helix الـDNA الـDouble Helix الـDouble Helix + +485 +00:44:45,730 --> 00:44:45,770 +الـDouble Helix الـDouble Helix الـDouble Helix + +486 +00:44:45,770 --> 00:44:48,960 +الـDouble Helix الـDouble Helix هيبتشينجين هو + +487 +00:44:48,960 --> 00:44:53,860 +انزايم اسمه which recombinates enzyme طيب في + +488 +00:44:53,860 --> 00:44:56,800 +ميكانيزمات أخرى ان انتوا شايفين كل اللى فاتر ايه + +489 +00:44:56,800 --> 00:45:02,140 +ان ان في كل مرة هذه الجينات تتصفى تصفيتها مختلفة + +490 +00:45:02,140 --> 00:45:07,260 +وبالتالي تدينى different immunoglobulin for each B + +491 +00:45:07,260 --> 00:45:11,900 +lymphocytes وبالتالي بيكون لي عدد هائل جدا من ال + +492 +00:45:11,900 --> 00:45:17,670 +antibody المختلفة بشكل خاص بهم هناك حاجات تانية + +493 +00:45:17,670 --> 00:45:24,730 +ممكن تزوّد ال diversity في الوقت طبعا في انها من + +494 +00:45:24,730 --> 00:45:28,370 +الحاجات التادية نمرا واحد presence of multiple + +495 +00:45:28,370 --> 00:45:34,190 +variable gene in the germ line طبعا هذا بيمثل لدي + +496 +00:45:34,190 --> 00:45:37,730 +number of different antibody that can be + +497 +00:45:37,730 --> 00:45:42,150 +reproduced يعني يعني كل مرة بتصفط وتصفيتها مختلفة + +498 +00:45:44,080 --> 00:45:52,820 +الـ VG والـ VDG الوضع + +499 +00:45:52,820 --> 00:45:57,360 +الوضع الوضع الوضع الوضع الوضع الوضع + +500 +00:45:57,360 --> 00:45:58,720 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +501 +00:45:58,720 --> 00:45:58,800 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +502 +00:45:58,800 --> 00:46:02,700 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +503 +00:46:02,700 --> 00:46:02,760 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +504 +00:46:02,760 --> 00:46:05,360 +الوضع الوضع الوضع الوضع + +505 +00:46:07,750 --> 00:46:11,990 +على سبيل المثال في عندنا أربعين Vkappa مع خمسة + +506 +00:46:11,990 --> 00:46:21,070 +Jkappa في عندنا متين gene يعني متين فرصة تغيير بتصير + +507 +00:46:21,070 --> 00:46:28,150 +في هذه المنطقة لحالها اللي هي الـ variable والـ + +508 +00:46:28,150 --> 00:46:31,450 +lambda في عندنا أربعين variable lambda مع أربعة + +509 +00:46:31,450 --> 00:46:37,250 +joining بتحمل مائة وستين Lambda different gene + +510 +00:46:37,250 --> 00:46:42,310 +لأنه في كل مرة ممكن يتغير لـH لـNew يعني لـ + +511 +00:46:42,310 --> 00:46:45,810 +Probability هذه عبارة عن Probability الاحتمالية + +512 +00:46:45,810 --> 00:46:51,670 +أنه يتغير كل مرة وتصفية تصفيتها مختلفة وحصل + +513 +00:46:51,670 --> 00:46:57,430 +ضرب عدد الجينات اللي موجودة في الجهتين طب لو قلنا + +514 +00:46:57,430 --> 00:47:05,360 +أن الـ variable الـ heavy خمسين في الـ variable + +515 +00:47:05,360 --> 00:47:08,760 +وعشرين في الـ diversity وستة في الـ joining يعني فيه + +516 +00:47:08,760 --> 00:47:14,980 +ستة آلاف مختلفة تصفيطة Rearrangement وبالتالي تست + +517 +00:47:14,980 --> 00:47:23,140 +ستة آلاف مختلفة Heavy Chain is produced Random + +518 +00:47:23,140 --> 00:47:26,440 +Assortment of Heavy and Lighter Chain طبيعي جدا + +519 +00:47:26,440 --> 00:47:31,000 +على الـ probability لتصفيت التنتين مع بعض هو عبارة + +520 +00:47:31,000 --> 00:47:35,720 +عن حاصل ضرب التنين مع بعض فعلى سبيل المثال for كابا + +521 +00:47:35,720 --> 00:47:41,760 +نضربه بالمية وستين في ستة آلاف بتلعبنا عدد مخول من + +522 +00:47:41,760 --> 00:47:50,740 +الـ age احتمالية حدوث أو إنتاج كابا في عامل ثالث أو + +523 +00:47:50,740 --> 00:47:54,980 +رابع اسمه junctional and insertional diversity + +524 +00:47:54,980 --> 00:47:58,100 +قالوا عملية التلزيج + +525 +00:48:00,860 --> 00:48:07,720 +هي عبارة عن عملية غير دقيقة عملية التصفيت في الـ + +526 +00:48:07,720 --> 00:48:15,400 +DNA ماشي والتلزيج هي عبارة عن عملية غير دقيقة ماشي + +527 +00:48:15,400 --> 00:48:21,620 +فبيصير فيه إيش عملية deletion أو تغيير في الـ amino + +528 +00:48:21,620 --> 00:48:27,840 +acid في منطقة التلزيج بسموها دي دائرة junctional + +529 +00:48:27,840 --> 00:48:36,140 +diversity وطبعا هذا التغيير أيضا بيضيف إضافة تغيير + +530 +00:48:36,140 --> 00:48:44,280 +لـ الـ fab region وهي عبارة عن جزء أو الـ hyper + +531 +00:48:44,280 --> 00:48:47,240 +variable region هي عبارة عن جزء من الـ fab region + +532 +00:48:47,240 --> 00:48:50,300 +كمان + +533 +00:48:50,300 --> 00:48:53,980 +مش بس بيصير عملية deletion ممكن يصير في insertion + +534 +00:48:53,980 --> 00:49:01,150 +يعني إضافة ماشي فبالتالي بيخش شوية amino acid في + +535 +00:49:01,150 --> 00:49:09,430 +منطقة الإضافة والمسؤول عن هذه العملية إنزيم اسمه + +536 +00:49:09,430 --> 00:49:14,610 +terminal deoxynucleotide transferase إنزيم أو TDT + +537 +00:49:14,610 --> 00:49:23,360 +إنزيم موجود في الـ immature B cell أو T cell طبعا + +538 +00:49:23,360 --> 00:49:27,920 +الإضافة اللي صارت مرة ثانية بيسموها N-region + +539 +00:49:27,920 --> 00:49:34,580 +بيسموها N-region diversity Somatic hypermutation + +540 +00:49:34,580 --> 00:49:39,040 +برضه آلية جديدة بتوظيف إضافة لل diversity of + +541 +00:49:39,040 --> 00:49:42,600 +immunoglobulin and TCR بيقولوا إنه بيصير فيه + +542 +00:49:42,600 --> 00:49:45,740 +mutation بيصير في الـ variable gene of heavy + +543 +00:49:45,740 --> 00:49:50,140 +unlighted chain بتزود الـ variability و antibody + +544 +00:49:50,140 --> 00:49:55,950 +produced by B cell الـ Antibody of Low Affinity + +545 +00:49:55,950 --> 00:50:03,490 +تنتج في تجارب أساسية للـ Antigen. وكما تتجارب + +546 +00:50:03,490 --> 00:50:10,810 +التجارب تتجارب تجارب الـDNA الخاص بها، تتجارب + +547 +00:50:10,810 --> 00:50:16,490 +تجارب الـDNA الخاص بها، تتجارب تجارب الـDNA الخاص + +548 +00:50:16,490 --> 00:50:19,230 +بها، تتجارب تجارب الـDNA الخاص بها، تتجارب تجارب + +549 +00:50:19,230 --> 00:50:22,830 +تجارب الـDNA الخاص بها، تتجارب تجارب تجارب الـDNA + +550 +00:50:22,830 --> 00:50:22,930 +الخاص بها، تتجارب تجارب تجارب الـDNA الخاص بها، + +551 +00:50:22,930 --> 00:50:24,860 +تجارب الـDNA الخاص بها، تتجارب من أولئك على جرم + +552 +00:50:24,860 --> 00:50:31,280 +العين الـDNA هذا الانتقال ينتهي من مواصلة ميوتشين + +553 +00:50:31,280 --> 00:50:36,420 +وهي بيصير في الـ VDG تتعامل مع جنة مختلفة من + +554 +00:50:36,420 --> 00:50:40,300 +الانتيبادي التي + +555 +00:50:40,300 --> 00:50:45,000 +تنتهي في تغيير الأمينواسد طبعا هذه الظاهرة بيسموها + +556 +00:50:45,000 --> 00:50:52,220 +Somatic Hypermutation وهذه بتصير بسرعة تقريبا عشر + +557 +00:50:52,220 --> 00:50:56,600 +تلاف ضعف higher زيادة عن الـ Normal Rate of + +558 +00:50:56,600 --> 00:51:02,020 +Mutation.Somatic Hyper-Mutation أيضًا، ينتج في + +559 +00:51:02,020 --> 00:51:08,840 +أعضاء أفينيتي وانتبادي ثانوية.Somatic + +560 +00:51:08,840 --> 00:51:14,400 +Gene Conversion، + +561 +00:51:14,400 --> 00:51:16,940 +دعونا نشوف الفيجوري القادم، + +562 +00:51:20,560 --> 00:51:25,280 +الـ Somatic Gene Conversion تجعل الناس مختلفًا في + +563 +00:51:25,280 --> 00:51:29,600 +الـ Immunoglobulin جين من مجموعات مختلفة طبعًا + +564 +00:51:29,600 --> 00:51:35,860 +الفيجوري اللي قدامنا بيبين لنا الـ Phenomena طبعًا + +565 +00:51:35,860 --> 00:51:38,920 +ظاهرة معمولة على الـ Chicken Immunoglobulin Naval + +566 +00:51:38,920 --> 00:51:45,060 +Chain Locus Short Sequence of DNA from one or more + +567 +00:51:45,060 --> 00:51:49,860 +pseudo gene دخل على الخطة واحد أو أكثر من الـ + +568 +00:51:49,860 --> 00:51:58,400 +Pseudogen بيصير لهم copying into rearranged VDJ + +569 +00:51:58,400 --> 00:52:05,900 +unit هي طبعا هي الـ variable وهي الـ diversity وهي + +570 +00:52:05,900 --> 00:52:10,240 +الـ joining مرتبطين بالـ constant بيصير rearrangement + +571 +00:52:10,240 --> 00:52:14,740 +وبعدين بيصير في somatic gene conversion لأن واحد + +572 +00:52:14,740 --> 00:52:17,260 +من الجينات بيتغير إلى إيش + +573 +00:52:19,900 --> 00:52:26,640 +إلى يعني في أكثر في في شوية إضافة جينات جديدة في + +574 +00:52:26,640 --> 00:52:30,220 +التصفيطة غالبا هي عملها pseudo gene لكنها توضيف + +575 +00:52:30,220 --> 00:52:35,360 +إضافة وفي التغيير الـ receptor editing برضه ظاهرة + +576 +00:52:35,360 --> 00:52:42,080 +أيضا بتصير هي أن الخلية تعمل second rearrangement + +577 +00:52:42,080 --> 00:52:47,240 +في الـ light exchange gene rearrangement بعد مايكون + +578 +00:52:47,240 --> 00:52:53,400 +الـ first rearrangement is + +579 +00:52:53,400 --> 00:52:57,240 +failed. ماشي، + +580 +00:52:57,240 --> 00:53:01,080 +هي cell in the B-cell lineage can undergo a second + +581 +00:53:01,080 --> 00:53:03,680 +rearrangement of its lighted chain variable gene + +582 +00:53:03,680 --> 00:53:09,520 +segment after it has formed a recombined VG unit + +583 +00:53:09,520 --> 00:53:14,220 +.ماشي، as this process is known as receptor + +584 +00:53:14,220 --> 00:53:14,600 +editing. + +585 +00:53:21,700 --> 00:53:25,600 +بالتالي الـ diversity بتختلف وبتزيد هي الـ + +586 +00:53:25,600 --> 00:53:30,320 +receptor editing وقتيش بتصير يوم in the B cell with + +587 +00:53:30,320 --> 00:53:34,300 +a receptor specific for a self-antigen interact + +588 +00:53:34,300 --> 00:53:39,160 +with that self-antigen يعني لو طلعنا antibody ماشي + +589 +00:53:39,870 --> 00:53:43,810 +الـ Antibody هذا is specific for self-antigen + +590 +00:53:43,810 --> 00:53:46,970 +بيصير في حاجة بيسموها Receptor Editing، إيش اللي + +591 +00:53:46,970 --> 00:53:52,390 +بيصير؟ بتلع الخلية وهي عاملة تصفيطة جديدة من + +592 +00:53:52,390 --> 00:53:57,090 +الجينات في الـ lighted chain فبتختلف التصفيطة، تبدأ + +593 +00:53:57,090 --> 00:54:00,990 +عن التصفيطة الأولانية وبالتالي بيصير non-specific + +594 +00:54:00,990 --> 00:54:02,690 +for self-antigen + +595 +00:54:06,160 --> 00:54:12,800 +الـ outcome of this interaction هو أن الـ V مع الـ + +596 +00:54:12,800 --> 00:54:18,420 +J جين بيعملوا + +597 +00:54:18,420 --> 00:54:20,880 +secondary arrangement زي ما قلت لكوا وبالتالي + +598 +00:54:20,880 --> 00:54:26,220 +بيدونا new VG recognition اللي ما بتتعرف على الـ + +599 +00:54:26,220 --> 00:54:27,020 +self antigen + +600 +00:54:29,730 --> 00:54:34,550 +طبعا كل هذه الميكانيزمات بتساهم في الـ Formation + +601 +00:54:34,550 --> 00:54:39,490 +of a huge library أو بيسموها Repertoire of B + +602 +00:54:39,490 --> 00:54:44,490 +lymphocyte اللي بتحتوي على كل specificity required + +603 +00:54:44,490 --> 00:54:49,110 +to deal with the multitude of diverse Epitopes + +604 +00:54:49,110 --> 00:54:54,910 +عندها Antibody الآن تستطيع أن تتعامل مع كل Epitope + +605 +00:54:55,910 --> 00:55:01,470 +اللي ممكن يواجه اللي هو الـ Antibody.The number of + +606 +00:55:01,470 --> 00:55:03,950 +total immunoglobulin specificity that can be + +607 +00:55:03,950 --> 00:55:07,670 +generated في أي individual هو عشر أقوى خمسة عشر + +608 +00:55:07,670 --> 00:55:12,250 +which is increased even more by somatic + +609 +00:55:12,250 --> 00:55:20,410 +hypermutation. لدى الـ activation induced citadine + +610 +00:55:22,310 --> 00:55:27,470 +deaminase في generation of diversity هذا طبعا من + +611 +00:55:27,470 --> 00:55:31,190 +الاسم activation-induced citadine deaminase يعني + +612 +00:55:31,190 --> 00:55:35,910 +بيشيل citadine في عملية إيه اللي هو الـ diversity + +613 +00:55:35,910 --> 00:55:41,330 +طبعا هذا بضيف إضافة لل diversity AID plays a key + +614 +00:55:41,330 --> 00:55:44,470 +role in initiating class switching phenomena or + +615 +00:55:44,470 --> 00:55:48,680 +recombinationSOMATIC HYPERMUTATION AND GENE + +616 +00:55:48,680 --> 00:55:50,940 +CONVERSION بالعبارة كبيرة في التلاتة التلاتة + +617 +00:55:50,940 --> 00:55:53,460 +الطريقة الرئيسية التي تجعلها تتجارب بكثير من + +618 +00:55:53,460 --> 00:55:59,560 +الانتيموديا ماذا يفعل الـ A شي الظاهرة هذه؟ الـ A + +619 +00:55:59,560 --> 00:56:04,400 +ID تحرر الجمع الـ 6D من الـ DNA في الـ activated B + +620 +00:56:04,400 --> 00:56:08,720 +-cell ويحولها إلى اليوردين طبعا هذي في هذه الحلقة + +621 +00:56:08,720 --> 00:56:14,180 +مثلنا UG Base Pair في الـ DNA والـ mismatch base + +622 +00:56:14,180 --> 00:56:17,580 +pairs are then removed by one of several different + +623 +00:56:17,580 --> 00:56:26,800 +enzymes وهذه بالتالي بتنتج تنتج لنا different DNA + +624 +00:56:26,800 --> 00:56:33,920 +أو تغييرات في الـ DNA primarily in immunoglobulin V + +625 +00:56:33,920 --> 00:56:35,240 +region gene + +626 +00:56:40,970 --> 00:56:47,070 +يعني يبقى تشيل ستة دينار في الموضوع طيب بهيك نكون + +627 +00:56:47,070 --> 00:56:53,270 +خلصنا اللي هو المخاضرة أرجو أن تكونوا قد استمتعتم + +628 +00:56:53,270 --> 00:56:54,090 +بها diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..8a0e8188f089b78ef8ebefa116a4a48f1f8f34c4 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8_postprocess.srt @@ -0,0 +1,2512 @@ +1 +00:00:03,590 --> 00:00:06,310 +بسم الله الرحمن الرحيم اروح حضرتنا اليوم عن ال + +2 +00:00:06,310 --> 00:00:11,410 +genetic basis of antibody structure من المعروف + +3 +00:00:11,410 --> 00:00:16,090 +اليوم انه في عيننا different antigenic specificity + +4 +00:00:16,090 --> 00:00:19,910 +من خلايا ال B lymphocyte وT lymphocyte بيصل عددها + +5 +00:00:19,910 --> 00:00:24,410 +إلى عشر قوة من عشر قوة خمستاشر لعشر قوة تمانتاشر + +6 +00:00:24,410 --> 00:00:29,380 +يعني في عيندي different Bwith different + +7 +00:00:29,380 --> 00:00:34,300 +specificity و different T ايضا have different TCR + +8 +00:00:34,300 --> 00:00:40,780 +بهذا العدد و these are protein يعني they are + +9 +00:00:40,780 --> 00:00:48,700 +genetically coded وبالتالي they need gene for + +10 +00:00:48,700 --> 00:00:53,480 +their productionإلا أن عدد الجينات اللي موجودة لا + +11 +00:00:53,480 --> 00:00:57,920 +تتجاوز في الجسم ال individual يعني لا تتجاوز عشرين + +12 +00:00:57,920 --> 00:01:03,460 +ألف لخمسة عشرين ألف فكيف هذا العدد القليل من + +13 +00:01:03,460 --> 00:01:09,100 +الجينات يستطيع أن يصنع هذا العدد المهول من ال + +14 +00:01:09,100 --> 00:01:15,400 +immunoglobulin أو ال TCR سوسومو + +15 +00:01:15,400 --> 00:01:24,640 +توني جاوةفي 1976 اخد Nobel Prize اكتشف على ان + +16 +00:01:24,640 --> 00:01:31,700 +الجينات تستطيع ان تتحرك و تتصفط within the genome + +17 +00:01:31,700 --> 00:01:41,500 +in differentiating B cell and T cellيعني الجينات + +18 +00:01:41,500 --> 00:01:48,280 +تستطيع ان تتحرك من مكانها وتتصفط تصفيتها تصفيتات + +19 +00:01:48,280 --> 00:01:49,980 +مختلفة في كل مرة + +20 +00:01:53,720 --> 00:01:56,440 +طبعا هو اكتشف هذا الأمر و أثبتوا من خلال ال + +21 +00:01:56,440 --> 00:02:00,600 +southern blotting عمل southern blotting لمين؟ لل + +22 +00:02:00,600 --> 00:02:08,920 +genes فلجأها في مرحلة مختلفة من اللي هو العمر + +23 +00:02:08,920 --> 00:02:14,940 +الخلية فوجد انه فيه جينات بتختلف بيختلف مواقعها + +24 +00:02:14,940 --> 00:02:22,190 +باختلاف اللي هو ال maturity of the cellكمان وصل + +25 +00:02:22,190 --> 00:02:30,750 +لمرحلة وطلعت نتيجة ان different V region gene can + +26 +00:02:30,750 --> 00:02:36,610 +be linked up together with a single constant + +27 +00:02:36,610 --> 00:02:44,210 +region gene يعني جينات مسئولة عن ال variable + +28 +00:02:44,210 --> 00:02:47,510 +region متعددة + +29 +00:02:48,780 --> 00:02:57,320 +ممكن ترتبط ب single constant region gene وهذا وضع + +30 +00:02:57,320 --> 00:03:04,080 +طبيعي جدا ممكن يكون عندنا different IgG the + +31 +00:03:04,080 --> 00:03:08,000 +same IgG with different specificity the same IgG + +32 +00:03:08,000 --> 00:03:14,000 +with different specificity طبعا + +33 +00:03:14,000 --> 00:03:19,780 +أحسنprototypical gene coding يعني for trans + +34 +00:03:19,780 --> 00:03:25,880 +membrane or non immunoglobulin any بروتين يصنع في + +35 +00:03:25,880 --> 00:03:34,020 +الجسم بهذا التسلسل كلنا بنعرف أنه فينا DNA بيصيرله + +36 +00:03:34,020 --> 00:03:39,890 +primary transcriptثم ماتشورينج ميسنجرالاني اللى + +37 +00:03:39,890 --> 00:03:44,350 +بعدها بينتقل الى ال translation وفي ال endoplasmic + +38 +00:03:44,350 --> 00:03:48,110 +reticulum بيتصن على البروتين ما ينطبق طبعا على هذا + +39 +00:03:48,110 --> 00:03:55,910 +هذا ينطبق على ال ال immunoglobulin وعلى ال TCR في + +40 +00:03:55,910 --> 00:04:00,610 +مقدمة كل + +41 +00:04:00,610 --> 00:04:07,350 +DNA sequence في حاجة بيسموها ال Exonموجودة على ال + +42 +00:04:07,350 --> 00:04:12,690 +five prime end of the DNA وقال اختصار ل leader + +43 +00:04:12,690 --> 00:04:18,510 +sequence وهذه تقريبا code for ten hydrophobic + +44 +00:04:18,510 --> 00:04:27,950 +amino acids و اللي طبعا بيكونوا في ال end terminal + +45 +00:04:27,950 --> 00:04:35,450 +end of the protein وظيفة ال leaderIs to direct the + +46 +00:04:35,450 --> 00:04:40,670 +synthesis of polypeptide chain وين توصلها ل ال + +47 +00:04:40,670 --> 00:04:44,590 +endoplasmic reticulum وبستصل هناك بستصلها cleaved + +48 +00:04:44,590 --> 00:04:50,790 +off تنقطع فبدل ال DNA لحالهيبقى ما هيقود ال DNA + +49 +00:04:50,790 --> 00:04:57,410 +إلى ال endoplasmic reticulum هو ال leader sequence + +50 +00:04:57,410 --> 00:05:02,210 +اللي موجود في مقدمة ال DNA طبعا هناك في ال + +51 +00:05:02,210 --> 00:05:05,630 +endoplasmic reticulum يتصنع اللي هو ال protein + +52 +00:05:05,630 --> 00:05:10,690 +اللي احنا بنحكي عليه ثمبيتحرك الى الجوجي ابراطس + +53 +00:05:10,690 --> 00:05:15,450 +ينتقل الى الجوجي ابراطس ومن هناك بيطلع على ال cell + +54 +00:05:15,450 --> 00:05:20,750 +membrane وهذه هي الرحلة الطبيعية لتصنيع اي protein + +55 +00:05:20,750 --> 00:05:24,710 +ال variable region و ال constant region of a new + +56 +00:05:24,710 --> 00:05:28,670 +globulin are coded by different gene مزال ال + +57 +00:05:28,670 --> 00:05:33,910 +variable many variable can يعني bind to one + +58 +00:05:33,910 --> 00:05:40,280 +constantبالمقابل بالمناسبة كمان one constant gene + +59 +00:05:40,280 --> 00:05:45,720 +ممكن different constant gene ممكن يرتبطوا ب one + +60 +00:05:45,720 --> 00:05:56,420 +variable gene او gene يعني money antibody can have + +61 +00:05:56,420 --> 00:06:00,320 +the same specificity طبعا من معرفتني لهذه + +62 +00:06:00,320 --> 00:06:04,200 +المعلومات طلعوا بنتيجة على ان ال variable و ال + +63 +00:06:04,200 --> 00:06:07,310 +constant geneأو الـRegion في الـ Immunoglobulin + +64 +00:06:07,310 --> 00:06:12,850 +يتعامل مع جينات مختلفة ومختلفة الـ Antibody gene + +65 +00:06:12,850 --> 00:06:17,090 +بإمكانه تتحرك و تتعامل بنفسه داخل الجنون تتعامل + +66 +00:06:17,090 --> 00:06:20,730 +بنفسه و تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه + +67 +00:06:20,730 --> 00:06:23,650 +و تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +68 +00:06:23,650 --> 00:06:23,910 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +69 +00:06:23,910 --> 00:06:24,190 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +70 +00:06:24,190 --> 00:06:26,610 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +71 +00:06:26,610 --> 00:06:32,940 +تتعامل بنفسه و تتعامل بنفسwhich code for variable + +72 +00:06:32,940 --> 00:06:37,520 +and constant region بتتصفط الجينات اللي مسئولة عن + +73 +00:06:37,520 --> 00:06:42,920 +تصنيع ال variable و ال constant region طبعا بعد + +74 +00:06:42,920 --> 00:06:46,380 +هيك بيصير بعد التصفيت بيصير transcription ثم + +75 +00:06:46,380 --> 00:06:52,020 +translation و في النهاية بيطلع انها heavy and + +76 +00:06:52,020 --> 00:06:56,840 +lighted chain of immunoglobulin و هي ما ينطبق على + +77 +00:06:56,840 --> 00:06:59,620 +ال immunoglobulin ينطبق على TCR + +78 +00:07:01,700 --> 00:07:05,540 +طيب شو اللي بصير؟ خلّينا نشوف واحدة واحدة genetic + +79 +00:07:05,540 --> 00:07:08,640 +event in the synthesis of immunoglobulin chain + +80 +00:07:08,640 --> 00:07:12,300 +ونشوف ال lighted chain كلنا بنعرف ان ال lighted + +81 +00:07:12,300 --> 00:07:16,040 +chain هي عبارة عن كعبة او لمدة two types of + +82 +00:07:16,040 --> 00:07:29,380 +lighted chain polypeptide موجودين طبعا هدولة كل + +83 +00:07:29,380 --> 00:07:34,710 +واحدة منهمبتتكوّن من variable region و constant + +84 +00:07:34,710 --> 00:07:38,890 +region عشان هيك بيسموها variable light و constant + +85 +00:07:38,890 --> 00:07:48,830 +light ال variable light روحها بتتكوّن من 108 amino + +86 +00:07:48,830 --> 00:07:57,170 +acid or residue في ال region and this region + +87 +00:07:59,370 --> 00:08:03,830 +التصنيع يتم تصنيعه بـ Two Separate Gene Segments + +88 +00:08:03,830 --> 00:08:08,990 +الذي مسئول عن تصنيعها Two Gene Segments من الـ + +89 +00:08:08,990 --> 00:08:13,390 +Human Genome سمّوا الـ Segments الأولانية V + +90 +00:08:13,390 --> 00:08:23,630 +Variable وهذه تقوم بتصنيع الـ First 95 Anino Acid + +91 +00:08:23,630 --> 00:08:29,950 +Residue والـ Joining Segmentsمسؤول عن باقي تصنيع + +92 +00:08:29,950 --> 00:08:33,850 +باقي اللي هو ال amino acids تحت ال lighted chain + +93 +00:08:33,850 --> 00:08:38,930 +sequence اللي هم تلتاشر residue at the carboxy + +94 +00:08:38,930 --> 00:08:42,770 +terminal end of the variable region يوجه lighted + +95 +00:08:42,770 --> 00:08:47,090 +chain اللي مسؤول عنها ال variable region في ال + +96 +00:08:47,090 --> 00:08:50,170 +lighted chain اللي مسؤول عنها two gene segment هم + +97 +00:08:50,170 --> 00:08:54,910 +ال V ال variable يعني segment وال L segment اللي + +98 +00:08:54,910 --> 00:09:00,080 +هي ال J segment اللي هي ال joiningواحدة code for + +99 +00:09:00,080 --> 00:09:08,340 +95 amino acid residues وواحدة code for 13 amino + +100 +00:09:08,340 --> 00:09:14,700 +acid residues تنين مع بعض مجموحهم 108 ال one + +101 +00:09:14,700 --> 00:09:22,520 +variable gene and one J يعني joining جين يرتبطوا + +102 +00:09:22,520 --> 00:09:26,520 +مع بعض are brought togetherبالنسبة للجنوم البشرى + +103 +00:09:26,520 --> 00:09:32,120 +ماهو الهدف؟ بيشكله واحدة بناء واحدة بناء لـ one + +104 +00:09:32,120 --> 00:09:35,880 +amino acid الهدول بعدين برتبطوا بال constant + +105 +00:09:35,880 --> 00:09:41,080 +region gene وبالتالي بيصير في عنا DNA مسئول عن + +106 +00:09:41,080 --> 00:09:46,820 +تصنيع ال lighted chain كاملة 2 variable واحد + +107 +00:09:46,820 --> 00:09:51,840 +constant وبالتالي كل ال lighted chain is coded by + +108 +00:09:51,840 --> 00:09:56,880 +this sequenceهذا ميكانيزم الوحوش الوحش الوحش الوحش + +109 +00:09:56,880 --> 00:10:04,400 +الوحش الوحش الوحش الوحش + +110 +00:10:04,400 --> 00:10:10,080 +الوحش + +111 +00:10:10,080 --> 00:10:17,280 +الوحش + +112 +00:10:17,280 --> 00:10:19,060 +الوحش الوحش الوحش الوحش الوحش الوحش الوحش الوحش + +113 +00:10:19,060 --> 00:10:21,230 +الوحش الوحش الوحش الوحش الوحشطب شو اللي بيجمع هذه + +114 +00:10:21,230 --> 00:10:24,770 +الجينات مع بعض؟ قالوا في انزيم اسمه VDJ + +115 +00:10:24,770 --> 00:10:29,990 +-recombinase enzyme هو اللي بيعمل rearrangement ل + +116 +00:10:29,990 --> 00:10:34,250 +ال receptor gene in both B and T cell + +117 +00:10:40,000 --> 00:10:44,040 +جينين two types of recombinase موجود في ال human + +118 +00:10:44,040 --> 00:10:50,180 +genome او بي سل اللي هم راج واحد و راج اتنين بي سل + +119 +00:10:50,180 --> 00:10:54,040 +و تي سل طبعا ما ينطبق على ال بي ينطبق على ال تي + +120 +00:10:54,040 --> 00:10:57,800 +اللي هم راج واحد و راج اتنين اللي هو two + +121 +00:10:57,800 --> 00:11:03,000 +recombinase انزايم ناشي واحد و اتنين بيسموهم + +122 +00:11:03,000 --> 00:11:09,640 +recombination activating geneهم اللي مسؤولين عن + +123 +00:11:09,640 --> 00:11:17,980 +عملية ال recombination of these segments + +124 +00:11:17,980 --> 00:11:23,200 +الاتنين + +125 +00:11:23,200 --> 00:11:33,500 +راج واحد راج اتنين طبعا بيصنعولي protein which is + +126 +00:11:33,500 --> 00:11:35,460 +required for the first stage of cutting + +127 +00:11:36,770 --> 00:11:41,390 +immunoglobulin and TCRDNA هم المسؤولين عن تصنيع ال + +128 +00:11:41,390 --> 00:11:46,230 +DNA + +129 +00:11:46,230 --> 00:11:50,630 +وتجميعه وبالتالي هيدينا ال protein في النهاية + +130 +00:11:50,630 --> 00:11:57,410 +ووجدوا ان ال mice lacking rag gene يسمونه rag + +131 +00:11:57,410 --> 00:12:03,070 +knockout mice لا في عنده بيسل ولا في عنده تيسل + +132 +00:12:04,240 --> 00:12:11,700 +وبالتالي هما مهم جدًا في الـ B و T-Lymphocyte + +133 +00:12:11,700 --> 00:12:16,420 +.عرفنا + +134 +00:12:16,420 --> 00:12:22,040 +إن الـ VDG Recombinase إنزايم موجودين في الـ B و T + +135 +00:12:22,040 --> 00:12:26,840 +-cell ووظيفتهم الأساسية is repairing of DNA + +136 +00:12:26,840 --> 00:12:34,960 +strandsوهي موجودة فقط في الـ B و الـ T لينفوسايتس + +137 +00:12:34,960 --> 00:12:39,100 +يعني وددوهم فقط موجودين في وين في الـ B و الـ T + +138 +00:12:39,100 --> 00:12:45,820 +لينفوسايتس طيب نطبق احنا شفنا ال lighted chain + +139 +00:12:45,820 --> 00:12:55,400 +نشوف الكابا جايب كابا الجين تبعها موجود في كرومزوم + +140 +00:12:55,400 --> 00:13:02,290 +2 كابا لوكاسوالـ Rearrangement للـ أو الـ + +141 +00:13:02,290 --> 00:13:07,070 +Arrangement للكعبة gene in the germ line is as + +142 +00:13:07,070 --> 00:13:12,310 +follows وهدوا انه فيه اربعين different gene + +143 +00:13:12,310 --> 00:13:18,970 +مسئولين عن تصنيع ال variable كعبة gene احنا في + +144 +00:13:18,970 --> 00:13:26,170 +عندنا V وJ اربعين فقطللـ variable region اللي هم + +145 +00:13:26,170 --> 00:13:31,130 +coding for core ال first خمسة وتسعين amino acids + +146 +00:13:31,130 --> 00:13:37,610 +في الكعبة variable region طبعا هدولة بيسبقهم قطعة + +147 +00:13:37,610 --> 00:13:44,050 +ال leader sequence ماشي و بينهم و بين ال leader + +148 +00:13:44,050 --> 00:13:48,810 +sequence في انترنت يعني separated by انترنت + +149 +00:13:51,950 --> 00:13:56,390 +طبعا في الصورة القادمة ان شاء الله ال leader + +150 +00:13:56,390 --> 00:14:03,230 +مرحزوفة just for simplicity وهذا هي الصورة اللى + +151 +00:14:03,230 --> 00:14:07,190 +بتبين لي كيف اللى بصير هي ال variable قولناها في + +152 +00:14:07,190 --> 00:14:14,830 +اربعين هي V1 V2 V3 لغاية VN قدش عددهم اربعين ثم فى + +153 +00:14:14,830 --> 00:14:19,910 +خمسة gene مسئولين او موجودين في ال joining region + +154 +00:14:20,350 --> 00:14:25,070 +أي من واحد لخمسة واحد اتنين تلاتة اربعة خمسة كل + +155 +00:14:25,070 --> 00:14:31,710 +هدولة مسئولين عن تصنيع ال VL او ال V Kappa المثال + +156 +00:14:31,710 --> 00:14:35,630 +هذا عن Kappa طبعا هدول برتبطوا بنين بال constant + +157 +00:14:35,630 --> 00:14:41,450 +اللي موجود المسئول عن ال ال ال gene اللي مسئول عن + +158 +00:14:41,450 --> 00:14:46,290 +constant region of Kappa lighted chain فبصير في + +159 +00:14:46,290 --> 00:14:52,770 +عندي variable genesوjoining gene و one constant + +160 +00:14:52,770 --> 00:14:58,510 +gene هذا الكلام مين بيصير؟ في ال germ line they + +161 +00:14:58,510 --> 00:15:02,490 +are usually unrearranged لكن during + +162 +00:15:02,490 --> 00:15:10,530 +differentiation بصير لهم rearrangement يعني during + +163 +00:15:10,530 --> 00:15:15,050 +maturation of B lymphocyte بيصير فيه rearrangement + +164 +00:15:15,050 --> 00:15:20,740 +لمين؟ لهذه الجيناتفبجينا شوية جينات V1 V2 من ال + +165 +00:15:20,740 --> 00:15:24,860 +segment هذي وجي أربعة وجي خمسة من ال segment بتاعة + +166 +00:15:24,860 --> 00:15:28,940 +الجي برضه بيضلوا مرتبطين مع one constant gene of + +167 +00:15:28,940 --> 00:15:33,460 +each of cover طبعا بعد هيكة بس اللي هم + +168 +00:15:33,460 --> 00:15:39,060 +transcription اللي هذي بتتصفط الجينات صفطت واتصفيت + +169 +00:15:39,060 --> 00:15:44,280 +عشفاوي بالمناسبة فكل مرة بيكون جينات مختلفةبسبب + +170 +00:15:44,280 --> 00:15:47,520 +الـ Transcription هو بيكونه الـ Primary RNA + +171 +00:15:47,520 --> 00:15:51,500 +Transcript هذا هو يظل one variable gene و اتنين + +172 +00:15:51,500 --> 00:15:56,820 +joining مع constant وهذا طبعا ال RNA هو عبارة عن + +173 +00:15:56,820 --> 00:16:01,540 +Primary RNA which is a crude RNA بس له splicing + +174 +00:16:01,540 --> 00:16:06,440 +فبيظل عندنا one variable one joining مع one + +175 +00:16:06,440 --> 00:16:11,680 +constant gene و هذا بيسموه ال mature messenger RNA + +176 +00:16:13,030 --> 00:16:16,570 +اللي بعد ذلك بيروح سلو ترانسليشن في الاندوبلازميك + +177 +00:16:16,570 --> 00:16:20,990 +راتيكولام و بيصنع ليه البروتين اللي بيتكون هيه من + +178 +00:16:20,990 --> 00:16:27,430 +جزء variable كابا و جزء constant كابا هذه عبارة عن + +179 +00:16:27,430 --> 00:16:34,770 +polypeptide chain of كابا lighted chain وهذا + +180 +00:16:34,770 --> 00:16:36,590 +التسلسل الطبيعي لتصنيع + +181 +00:16:39,790 --> 00:16:44,030 +طبعاً زي ما اتفقنا خلاص جينات موجودين في الـ J + +182 +00:16:44,030 --> 00:16:47,670 +segment وكل + +183 +00:16:47,670 --> 00:16:55,750 +جين من الـ J segment code for تلتاشر amino acid + +184 +00:16:55,750 --> 00:17:04,210 +residue من ال 96 لغاية ال 108على الـ Variable + +185 +00:17:04,210 --> 00:17:08,410 +Region بعد + +186 +00:17:08,410 --> 00:17:13,990 +ذلك يأتي الـ Entrance الذي بعد ذلك يرتبط بالـ + +187 +00:17:13,990 --> 00:17:18,410 +Constant Gene Segment لتصميم + +188 +00:17:18,410 --> 00:17:26,730 +الـ JK Gene Segment أخيرًا + +189 +00:17:26,730 --> 00:17:34,910 +لتصميم الكابوتشين لأنقل سل بسل لينجبتعمل selection + +190 +00:17:34,910 --> 00:17:44,710 +لـ one variable كعبة gene from its DNA وهذا برتبط + +191 +00:17:44,710 --> 00:17:52,710 +physically بـ one جين من الـ J كعبة segment وبصير + +192 +00:17:52,710 --> 00:17:57,290 +في rearrangement لاتنين على زي ما شفنا في figure 6 + +193 +00:17:57,290 --> 00:18:03,950 +.2 إيجا V2 مع J4وبدأ يشتغل طبعا اللي عمل هذه + +194 +00:18:03,950 --> 00:18:10,530 +التصفيطة او التجميعة هو ال VDJ Recombines Enzyme و + +195 +00:18:10,530 --> 00:18:15,770 +اللي بيعمل Joining it usually recognizes + +196 +00:18:15,770 --> 00:18:22,850 +recombination sequence اللي طبعا which is located + +197 +00:18:22,850 --> 00:18:28,550 +in the variable and G gene segment كما شفنا بالظبط + +198 +00:18:28,550 --> 00:18:30,650 +في الفيجر السابق + +199 +00:18:33,570 --> 00:18:39,670 +العملية تجميع ان اتنين يتحركوا ويتجمعوا جان بعض + +200 +00:18:39,670 --> 00:18:44,830 +ويتصفطوا جان بعض بتتم من خلال اللي هو ال looping + +201 +00:18:44,830 --> 00:18:50,030 +of DNA كذا بتتم عملية ال looping جانو ال DNA بيلف + +202 +00:18:50,030 --> 00:18:57,030 +حوالين نفسه ماشي و بيلف ب system معين اما ب one + +203 +00:18:57,030 --> 00:19:03,690 +turn لفة واحدة او لفتين لغاية ما يصلقاشلتقريب الـ + +204 +00:19:03,690 --> 00:19:10,430 +V2 مع الـ J4 بعد ذلك يوجد Restriction enzyme يقطع + +205 +00:19:10,430 --> 00:19:17,010 +ال loop و يدلل ال gene تبع V2 مع V4 مرتبط مع الـ + +206 +00:19:17,010 --> 00:19:28,440 +J4 وهي V1 V2 J4 J5 و الباقية كلها مقطعة قراءةيبقى + +207 +00:19:28,440 --> 00:19:32,460 +عملية تصفيط الجينات وتجميع حجم بعيد بتتم من خلال + +208 +00:19:32,460 --> 00:19:38,460 +restriction enzyme ماشي أولا بيصير looping لل loop + +209 +00:19:38,460 --> 00:19:44,540 +formation by making either one turn or two turn + +210 +00:19:45,060 --> 00:19:50,240 +طبعاً لفة أو لفتين لل DNA وطبعاً بيجي ال + +211 +00:19:50,240 --> 00:19:54,100 +restriction enzyme بيقطع هذه ال loop و بيجي بعد + +212 +00:19:54,100 --> 00:20:02,980 +هيك ال recombinase enzyme بيجمع الجينات جنب عيد هي + +213 +00:20:02,980 --> 00:20:07,120 +بالظبط زي ما شرحنا ال intervening DNA is looped في + +214 +00:20:07,120 --> 00:20:12,940 +slow looping ثم cut out and broken down بنقطة و + +215 +00:20:12,940 --> 00:20:14,600 +after rearrangement + +216 +00:20:16,800 --> 00:20:21,260 +بصير فيه Primary RNA Transcript عادي مثلا الـ + +217 +00:20:21,260 --> 00:20:27,860 +Slicing و بالتالي بصير فينا V Kappa و J Kappa و C + +218 +00:20:27,860 --> 00:20:31,900 +Kappa زي ما شفنا في ال figure في ال mature + +219 +00:20:31,900 --> 00:20:35,190 +messenger RNAاللي بيروح على الـ endoplasmic + +220 +00:20:35,190 --> 00:20:41,550 +reticulum بس تصل هناك الـ L الـ leader sequence is + +221 +00:20:41,550 --> 00:20:46,410 +cleaved off وبالتالي المسنجر نيبسله translation + +222 +00:20:46,410 --> 00:20:53,450 +into كابة بوريبلتايد ال chain هلال كابة ال chain + +223 +00:20:53,450 --> 00:20:57,450 +اللي اتكونتبتنتقل إلى الـ Lumen of Endoplasmic + +224 +00:20:57,450 --> 00:21:00,990 +reticulum و هناك بيكون فيه already heavy chain + +225 +00:21:00,990 --> 00:21:05,530 +اتصنعت فبترتبط فيها و بيكونوا ال immunoglobulin + +226 +00:21:05,530 --> 00:21:11,130 +كامل ما ينطبق على ال light chain ينطبق على ال + +227 +00:21:11,130 --> 00:21:17,810 +heavy chain لكن فيه متغيرين متغير الأولاني أي + +228 +00:21:17,810 --> 00:21:22,410 +الفجر كامل في عندنا ال variable region اللي مشغول + +229 +00:21:22,410 --> 00:21:27,990 +عن تصنيع ال heavy chaincoded by three gene segment + +230 +00:21:27,990 --> 00:21:35,130 +مش two ايه ال variable وفي عندي D segment اللي هي + +231 +00:21:35,130 --> 00:21:41,850 +diversity ثم joining اللي هي J segment وايه زي ما + +232 +00:21:41,850 --> 00:21:45,970 +انتوا شايفين ال variable فيها تقريبا خمسين gene في + +233 +00:21:45,970 --> 00:21:48,570 +بعض المراتحة بتقول الف gene يشترك في ال variable + +234 +00:21:48,570 --> 00:21:53,810 +region و ال diversity لل heavy فيها حوالي عشرين + +235 +00:21:53,810 --> 00:22:00,170 +geneوالـ Joining Segment فيها حوالي ستة جين يبقى + +236 +00:22:00,170 --> 00:22:04,570 +أول اختلاف ان الـ Variable Region فيها ثلاث جين + +237 +00:22:04,570 --> 00:22:06,810 +سيجمانت انستد of اتين جين سيجمانت انستد of اتين + +238 +00:22:06,810 --> 00:22:11,830 +جين سيجمانت في الـ Heavy في تلاتة جين سيجمانت + +239 +00:22:14,640 --> 00:22:19,360 +في الـ lighted chain هذه الـ segments ترتبط بـ one + +240 +00:22:19,360 --> 00:22:22,720 +constant gene هنا بترتبط بتسعة different constant + +241 +00:22:22,720 --> 00:22:28,200 +gene لإن في عندنا تسعة different type or class and + +242 +00:22:28,200 --> 00:22:33,000 +subclass of immunoglobulin في عندنا الـ mu و ال + +243 +00:22:33,000 --> 00:22:38,300 +delta جامعة تلاتة جامعة واحد alpha one جامعة two + +244 +00:22:38,300 --> 00:22:42,760 +جامعة four epsilon alpha two و هكذا ماشي + +245 +00:22:45,050 --> 00:22:52,610 +دول تسعة different gene وبالتالي بيصير في عيننا في + +246 +00:22:52,610 --> 00:22:58,410 +ال .. موجود في عيننا في ال germ line DNA before a + +247 +00:22:58,410 --> 00:23:03,250 +rearrangement already موجود جينات مسئولة عن هذه عن + +248 +00:23:03,250 --> 00:23:11,170 +ال hefe gene كاملة constant و variable طبعا في ال + +249 +00:23:11,170 --> 00:23:16,720 +differentiated B lymphocytesو مرة تانية بنذكر ما + +250 +00:23:16,720 --> 00:23:20,000 +ينطبق على ال T ينطبق على ال TCR ال P يعني ينطبق + +251 +00:23:20,000 --> 00:23:26,600 +على ال T بصيحى rearrangement لل gene فال variable + +252 +00:23:26,600 --> 00:23:29,740 +هدا هنا أخدنا واحد من ال variable region و ال + +253 +00:23:29,740 --> 00:23:33,160 +diversity أخدنا واحد ال joining still تانين + +254 +00:23:33,160 --> 00:23:37,280 +مرتبطين بكل ال constant gene هاي التصفيطة لسه مش + +255 +00:23:37,280 --> 00:23:42,200 +عارفين اي class من ال antibody بده يتصنعفي الغالب + +256 +00:23:42,200 --> 00:23:47,820 +زي ما انتم لاحظين اول تنين من ال constant gene هم + +257 +00:23:47,820 --> 00:23:53,120 +عبارة عن ميو دلتا هم اول من يتصنعوا ماشي بيصير ال + +258 +00:23:53,120 --> 00:24:00,300 +transcription وهي ال VDJ مرتبط بالميو دلتا ثم في + +259 +00:24:00,300 --> 00:24:06,560 +ال splicing كل لن ينقسم على حد بدينه two mature + +260 +00:24:06,560 --> 00:24:12,080 +messenger RNA واحدمسئول عن تصنيع الـ Mew Chain ده + +261 +00:24:12,080 --> 00:24:18,240 +هو VDJ Variable مرتبط بالكونستان جين of Mew وواحد + +262 +00:24:18,240 --> 00:24:22,460 +Messenger Amateur Messenger Raneemert مسئول عن + +263 +00:24:22,460 --> 00:24:28,540 +تصنيع الـ Delta in Global Indies وهي VDJ Delta + +264 +00:24:28,540 --> 00:24:35,420 +طبعا Translation بيطلع لنا اللي هو الـ Mew Chain و + +265 +00:24:35,420 --> 00:24:42,260 +Delta Chainof both immunoglobulin عشان هيك اول ما + +266 +00:24:42,260 --> 00:24:50,820 +يظهر على ال بيلمفوسايت surface هو both IgM و IgD + +267 +00:24:50,820 --> 00:24:56,680 +طيب انا شرحتلكوا ال figure خلينا نشوف ايش اللي + +268 +00:24:56,680 --> 00:25:03,040 +كتبناه في هذا الموضوع ال figure shows the + +269 +00:25:03,040 --> 00:25:06,160 +organization of gene coding for the heavy متفق + +270 +00:25:06,160 --> 00:25:06,440 +عليه + +271 +00:25:09,750 --> 00:25:13,190 +بالمقارنة مع ال variable region of lighted chain + +272 +00:25:13,190 --> 00:25:18,390 +اللي مسؤول عن تصنيح ال two gene segment هنا ال + +273 +00:25:18,390 --> 00:25:21,530 +variable region of heavy chain is constructed from + +274 +00:25:21,530 --> 00:25:28,490 +three gene segment ال V والD والJ دي denote for + +275 +00:25:28,490 --> 00:25:33,650 +the diversity ماشي هي عبارة عن extra segment دخلت + +276 +00:25:33,650 --> 00:25:38,680 +على الخطما يحدث هو عملية تصفيت للجينات على مرحلتين + +277 +00:25:38,680 --> 00:25:43,540 +أول شيء بيمسك الـD مع الـJ and they code for amino + +278 +00:25:43,540 --> 00:25:47,040 +acid sequence in the third hyperbaria و ال region + +279 +00:25:47,040 --> 00:25:52,880 +من الآخر أو بيسمونها complementary determining + +280 +00:25:52,880 --> 00:25:57,020 +region of the habit chain ثم هؤلاء اللي بيرتبطوا + +281 +00:25:57,020 --> 00:25:59,700 +مع الـV gene + +282 +00:26:01,860 --> 00:26:05,720 +وقلنا ال variable include فوق خمسين different + +283 +00:26:05,720 --> 00:26:11,980 +variable heavy chain gene وبالتالي بياخدوا one + +284 +00:26:11,980 --> 00:26:19,660 +gene فبصير في عندنا تصفيتة لل variable ثم مرتبطة + +285 +00:26:19,660 --> 00:26:24,660 +مع مين او ال DJ ارتبطت مع ال variable gene وفي + +286 +00:26:24,660 --> 00:26:29,060 +النهاية بتكوين لي DNA sequence طبعا في خمسين + +287 +00:26:29,060 --> 00:26:33,370 +different variable heavy chainعشرين مختلفة مختلفة + +288 +00:26:33,370 --> 00:26:37,170 +وستة مختلفة مجتمع مختلفة مختلفة مختلفة مختلفة + +289 +00:26:37,170 --> 00:26:39,830 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +290 +00:26:39,830 --> 00:26:52,970 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +291 +00:27:01,840 --> 00:27:08,760 +و ال Intron هو عبارة عن Large Intron Area لكن أول + +292 +00:27:08,760 --> 00:27:14,480 +اتنين من ال constant region gene هم ال New Delta و + +293 +00:27:14,480 --> 00:27:19,600 +هم أول ما يتصنعوا في ال developing B lymphocytes + +294 +00:27:19,600 --> 00:27:25,540 +طب أنا برضه نفس الحكاية عملية التصفيت بيتخللها او + +295 +00:27:25,540 --> 00:27:31,180 +بيكون مسئول عنها ال VDJ recombinase enzymeهو اللي + +296 +00:27:31,180 --> 00:27:38,800 +بيربط ال different gene segment مع بعض و زي ما + +297 +00:27:38,800 --> 00:27:46,280 +اتفقنا انه التصفيطة بتتم على مرحلتين اول حاجة اول + +298 +00:27:46,280 --> 00:27:55,040 +مرحلة بتم ارتباط ال D segment مع ال J segment اللي + +299 +00:27:55,040 --> 00:27:58,360 +بعد هيك برتبطه بال V segment مع بعض + +300 +00:28:01,040 --> 00:28:03,260 +عند إعادة إعادة الـ DNA بعد ذلك يحصل على + +301 +00:28:03,260 --> 00:28:07,780 +ترانسكريبشن وترانسكريبشن + +302 +00:28:07,780 --> 00:28:13,600 +يتم تحويله إلى أول اتنين من الاصطناع الموجودة في + +303 +00:28:13,600 --> 00:28:18,920 +الميو والدلتا يتكوّن لبريماري ترانسكريبت اللي بعد + +304 +00:28:18,920 --> 00:28:23,820 +ذلك يحصل على سليسينج ويتكوّن لتو ميسنجر RNA ماتشور + +305 +00:28:23,820 --> 00:28:26,920 +ميسنجر RNA واحد مسؤول عن الميو واحد مسؤول عن + +306 +00:28:26,920 --> 00:28:31,360 +الدلتابعد ذلك بيصل لهم translation و بيروح عليها + +307 +00:28:31,360 --> 00:28:40,340 +بلازم كرتكولين و بيكونوا إما مو و بيكون دلتا طبعا + +308 +00:28:40,340 --> 00:28:45,960 +في هذه الحالة any individual will express both مو + +309 +00:28:45,960 --> 00:28:52,200 +و دلتا with identical antigenic specificity تنين + +310 +00:28:52,200 --> 00:28:56,510 +زي بعضعشان هيك التنين موجودين على خلية واحدة + +311 +00:28:56,510 --> 00:28:59,470 +والخلية هي specific for one antigen فال + +312 +00:28:59,470 --> 00:29:08,250 +specificity واحدة في التنين ال طبعا + +313 +00:29:08,250 --> 00:29:11,590 +بعد هيك بيصير في splicing لل heavy chain primary + +314 +00:29:11,590 --> 00:29:16,030 +transcript و بعد هيك بتكون اللي هو الميو دلتا + +315 +00:29:16,030 --> 00:29:18,110 +which is the secreted form of a heavy chain + +316 +00:29:18,110 --> 00:29:23,410 +polypeptideالـ two additional axons are found at + +317 +00:29:23,410 --> 00:29:27,250 +three prime ends of each constant heavy chain gene + +318 +00:29:27,250 --> 00:29:31,090 +they are not shown خلاص احنا أخدنا أول اتنين و + +319 +00:29:31,090 --> 00:29:36,510 +الباقى كله راح بعدين في عندنا Transmembrane form + +320 +00:29:36,510 --> 00:29:41,310 +of the molecule and a constant terminal end of the + +321 +00:29:41,310 --> 00:29:47,730 +secreted form of the moleculeالتانية الـ Exon هم + +322 +00:29:47,730 --> 00:29:53,270 +مقررين بالترجمة الأساسية لكن واحد منهم هو اللي + +323 +00:29:53,270 --> 00:30:00,130 +سلّه slicing out وفي النهاية بصير messenger ررني + +324 +00:30:00,130 --> 00:30:08,690 +ماشي بيكوّن لي ال heavy chain polypeptide بهيك + +325 +00:30:08,690 --> 00:30:14,300 +شفنا how can lighted chain and heavy chainbe + +326 +00:30:14,300 --> 00:30:19,000 +produced in the B lymphocytes كل على حدى وشوفنا + +327 +00:30:19,000 --> 00:30:23,620 +الخلافات الاختلافات اللي موجودة ما بين ال lighted + +328 +00:30:23,620 --> 00:30:29,520 +chain و heavy chain production method طيب how can + +329 +00:30:29,520 --> 00:30:37,100 +this procedure be regulated في أنها كم نقطة مسؤولة + +330 +00:30:37,100 --> 00:30:43,030 +عن ال regulation أول نقطة أن كل B lymphocyteتستخدم + +331 +00:30:43,030 --> 00:30:49,770 +only one set of VDJ gene for lighted chain + +332 +00:30:49,770 --> 00:30:54,870 +وبالتالي + +333 +00:30:54,870 --> 00:31:01,950 +المحصلة كل B lymphocyte بتطلع لنا lighted chain + +334 +00:31:01,950 --> 00:31:08,450 +with only one antigenic specificity يعني في كل مرة + +335 +00:31:08,450 --> 00:31:12,920 +الجينات بتصفطوا تصفيتها معينةوفي كل مرة بيدونا one + +336 +00:31:12,920 --> 00:31:16,040 +antigenic specificity سواء كان ال light ولا ال + +337 +00:31:16,040 --> 00:31:22,140 +heavy الحاجة التانية immunoglobulin are coded only + +338 +00:31:22,140 --> 00:31:27,860 +by one set of gene قلناها وهذه الجينات شوفوا + +339 +00:31:27,860 --> 00:31:32,810 +مصدرها إما maternal وإما paternalوهذه اختلاف اخر + +340 +00:31:32,810 --> 00:31:36,550 +جاي فى على الخط يمكن الاولانى انه اتصفطنا الجينات + +341 +00:31:36,550 --> 00:31:40,590 +تصفيطة واحدة وفي كل مرة تصفيط عشوائى بالمناسبة وفي + +342 +00:31:40,590 --> 00:31:45,190 +كل مرة بنختار تصفيطة معينة الحاجة التانية ان هذه + +343 +00:31:45,190 --> 00:31:50,290 +الجينات اما جاية من ال material origin or paternal + +344 +00:31:50,290 --> 00:31:54,990 +فال .. وعلى سبيل المثال ممكن هي بتكون جاية من ال + +345 +00:31:54,990 --> 00:31:58,350 +paternal ولا هي بتكون جاية من ايش؟ من ال material + +346 +00:31:59,560 --> 00:32:04,760 +وبيسمو هذه الظاهرة الـ Allelic Exclusion Phenomena + +347 +00:32:04,760 --> 00:32:11,000 +Allelic Exclusion يعني إيش؟ يعني إحنا بنستثني one + +348 +00:32:11,000 --> 00:32:17,040 +set of DNA gene وخصوصا بتتم هذه الحكاية إذا كان + +349 +00:32:17,040 --> 00:32:23,980 +فشل ال transcription أو فسل التصنيع لأحد الجينات + +350 +00:32:23,980 --> 00:32:27,180 +اللي جاية من الأب على طول بيستبدلوها بجينات جاية + +351 +00:32:27,180 --> 00:32:34,340 +من الأبإذا فشلت عملية التجارب في واحد الكرمزوم، + +352 +00:32:34,340 --> 00:32:40,140 +فسيستمر الكرمزوم الثاني بالتجارب في التجارب. + +353 +00:33:00,670 --> 00:33:10,970 +is specific only for one epitope فقط class + +354 +00:33:10,970 --> 00:33:17,190 +or isotopic isotype switching احنا بنعرف ايش + +355 +00:33:17,190 --> 00:33:21,400 +الisotype switching عملية اللي هو switchتغيير + +356 +00:33:21,400 --> 00:33:27,440 +الانتيبادي اللي صنعت يعني كيف ممكن احنا نصنع + +357 +00:33:27,440 --> 00:33:32,080 +انتيبادي من نوية معينة وبعدها هي تصنعها كيف ال IGM + +358 +00:33:32,080 --> 00:33:39,480 +بيجلب ال IGG او IGA او IGE او whatever خلينا نشوف + +359 +00:33:39,480 --> 00:33:42,200 +ان ال one B cell makes antibody in a single + +360 +00:33:42,200 --> 00:33:45,880 +specificity متفق عليه كل B لينفوسييت بتطلع لنا one + +361 +00:33:45,880 --> 00:33:53,230 +specific antibodyهو مقرر من طبيعة الـ VJ للضوء + +362 +00:33:53,230 --> 00:33:59,510 +والـ VDJ للهيوي يعني المسؤول عن هذا التصنيع هي الـ + +363 +00:33:59,510 --> 00:34:02,290 +Variable Region سواء كانت في الضوء ولا في الهيوي + +364 +00:34:02,290 --> 00:34:05,610 +الـ + +365 +00:34:05,610 --> 00:34:09,630 +Rearrangement اللي حصلت هذه بتصير في بياب الـ + +366 +00:34:09,630 --> 00:34:14,170 +Antigen وبتصير during B-cell differentiation + +367 +00:34:17,570 --> 00:34:21,510 +المحصلة بنصنع في هذه المرحلة two types of antibody + +368 +00:34:21,510 --> 00:34:26,350 +هو IgM و IgD and they both have the same antigenic + +369 +00:34:26,350 --> 00:34:34,270 +specificity وبالتالي ان individual بيسل عندها + +370 +00:34:34,270 --> 00:34:38,330 +القدرة ت switch اه to make different class of + +371 +00:34:38,330 --> 00:34:42,310 +antibody وبالتالي عندها القدرة انها تصنع انها IgG, + +372 +00:34:42,450 --> 00:34:47,380 +IgE, IgA بسموها هذه الظاهرةعن طريق التغيير العزيزي + +373 +00:34:47,380 --> 00:34:48,860 +أو التغيير العزيزي أو التغيير العزيزي أو التغيير + +374 +00:34:48,860 --> 00:34:52,440 +العزيزي أو التغيير العزيزي أو + +375 +00:34:52,440 --> 00:34:54,320 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +376 +00:34:54,320 --> 00:34:55,260 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +377 +00:34:55,260 --> 00:34:56,140 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +378 +00:34:56,140 --> 00:34:57,560 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +379 +00:34:57,560 --> 00:34:58,380 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +380 +00:34:58,380 --> 00:35:00,380 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +381 +00:35:00,380 --> 00:35:04,580 +التغيير العزيزي أو التغيير العزيزيوتدّيني Antibody + +382 +00:35:04,580 --> 00:35:10,400 +جديد الخلية ال specificity تبعت ال Antibody لتصنع + +383 +00:35:10,400 --> 00:35:17,140 +الجديد بيكون have the same specificity as IgM وIgD + +384 +00:35:17,140 --> 00:35:21,620 +ال + +385 +00:35:21,620 --> 00:35:24,700 +class switching phenomena بتصير فى القدر ال + +386 +00:35:24,700 --> 00:35:30,360 +stimulated شوية لأولانى اللى بتتم التصنيعللـ IgM + +387 +00:35:30,360 --> 00:35:36,700 +والـ IgD في رياب اللي هو الـ Antigen لكن يوم ما + +388 +00:35:36,700 --> 00:35:41,380 +تعمل Switching لل Antibody بتصير في وجود الـ + +389 +00:35:41,380 --> 00:35:48,080 +Antigen Stimulated ماتور بـ Cells وبالتالي بيصير + +390 +00:35:48,080 --> 00:35:58,020 +في تصفيطة جديدة للجينات وكل + +391 +00:35:58,020 --> 00:36:02,750 +ما هناكأن نفس الـ VDG اللي مسؤول عن الـ Variable + +392 +00:36:02,750 --> 00:36:08,550 +Region بيمسكوا في الـ New Constant Region Gene + +393 +00:36:08,550 --> 00:36:14,790 +يعني الـ Variable بتتأثرش، بتدل زي ما هي عشان أيه + +394 +00:36:14,790 --> 00:36:18,310 +بنقول Have The Same Specificity لكن كل ما هناك الـ + +395 +00:36:18,310 --> 00:36:23,310 +VDG Segments اللي اتكونت بترتبط بـ New Constant + +396 +00:36:23,310 --> 00:36:27,290 +Gene فبالتالي بتغير ال class، بتغير ال class + +397 +00:36:29,430 --> 00:36:33,530 +In addition to Antigen يجب أن يكون هناك Antigen + +398 +00:36:33,530 --> 00:36:39,030 +مسئول عن هذه العملية في حاجة تانية برضه بتؤثر على + +399 +00:36:39,030 --> 00:36:41,430 +class switching phenomena وهي الـ cytokine + +400 +00:36:41,430 --> 00:36:45,570 +released by T lymphocyte + +401 +00:36:46,670 --> 00:36:49,650 +يحاولون أن يلعبوا دور كبير في الـ Class Switching + +402 +00:36:49,650 --> 00:36:55,090 +الانتجين والـ cytokine اللي موجود الـ cytokine + +403 +00:36:55,090 --> 00:36:58,550 +induce further development هو اللي مسؤول عن تصفيته + +404 +00:36:58,550 --> 00:37:02,890 +الجديدة من الـ DNA وي produce switching to other + +405 +00:37:02,890 --> 00:37:08,110 +immunoglobulin class بمسكه في الـ U Constantly + +406 +00:37:08,110 --> 00:37:14,450 +وبالتالي بيغيروا ال class وطبعا هذا + +407 +00:37:14,450 --> 00:37:15,690 +الكلام بيعتمد + +408 +00:37:22,730 --> 00:37:30,390 +الفكرة القادمة ان شاء الله هي 6.5 بيبين لنا كيف + +409 +00:37:30,390 --> 00:37:36,730 +ميكانيزم كيف بيصير ال match وبيلنق صحيح تحت class + +410 +00:37:36,730 --> 00:37:43,840 +switching وزي ما انتوا شايفين هي ال VDGمسك فيه في + +411 +00:37:43,840 --> 00:37:47,420 +الـ Mu و Delta أول اتنين و بصنعهم في غياب الـ + +412 +00:37:47,420 --> 00:37:52,020 +Antigen يوم ما يصير فيه Antigen و يصير فيه New + +413 +00:37:52,020 --> 00:37:59,300 +Rearrangement نفس الـ PDG هذا راح مسك فيه في الـ + +414 +00:37:59,300 --> 00:38:04,300 +Gamma 1 يعني IGG1 يعني هان أول كان يصنعني Mu و + +415 +00:38:04,300 --> 00:38:11,670 +Delta وجدت Gamma 1 اللي بدها تديني IGG1وزي ما + +416 +00:38:11,670 --> 00:38:15,710 +انتوا شايفين العملية بالتم كالقاتى او عملية + +417 +00:38:15,710 --> 00:38:20,410 +التحديد بالتم كالقاتى وجدوا انه ال constant gene + +418 +00:38:20,410 --> 00:38:24,590 +segment هذه اللي هي عبارة عن coding for تسعة + +419 +00:38:24,590 --> 00:38:28,870 +different constant gene ما بين كل ال gene والتاني + +420 +00:38:28,870 --> 00:38:33,190 +في repeated sequence اسمه S or switch region أي + +421 +00:38:33,190 --> 00:38:39,160 +المنطقة السوداء وهي عبارة عن القائد من يقوداللي هو + +422 +00:38:39,160 --> 00:38:44,560 +ارتباط الـ VDG بالـ constant gene هذا الكلام موجود + +423 +00:38:44,560 --> 00:38:47,780 +بين كل constant gene والتاني معدى لميو و الدلتا + +424 +00:38:47,780 --> 00:38:53,420 +عشان هيك يوم ما يمسك ال VDG بال switch region of + +425 +00:38:53,420 --> 00:38:58,780 +اول واحدة بصنع المتنين مع بعض لميو و الدلتا لكن + +426 +00:38:58,780 --> 00:39:03,600 +يوم ما يمسك فيAny other search region قدام بمسك + +427 +00:39:03,600 --> 00:39:13,280 +فقط بصنعنا ال class او ال body اللي مسك فيه على + +428 +00:39:13,280 --> 00:39:20,320 +سبيل المثال هذا مسك في جامعة one طبعا هي ال VDJ5 + +429 +00:39:20,320 --> 00:39:23,520 +V2D2J5 + +430 +00:39:23,520 --> 00:39:27,700 +مسكت في مين في جامعة one الباقي بيسأل + +431 +00:39:27,700 --> 00:39:32,110 +determination عندهأيو سلوك Transcription وظل عندنا + +432 +00:39:32,110 --> 00:39:36,170 +VDJ ماسك في Gamma 1 اللي بيدينا في النهاية + +433 +00:39:36,170 --> 00:39:40,910 +Messenger Match و ال Messenger راني مسئول عن ده هو + +434 +00:39:40,910 --> 00:39:48,310 +صفته خالص V1 V2 VD2 J5 and Gamma 1 هيطلع عندنا + +435 +00:39:48,310 --> 00:39:54,910 +IGG1 وهي الشريح يحكي لآياتي at the five prime end + +436 +00:39:54,910 --> 00:39:58,350 +of each every heavy chain constant region + +437 +00:40:01,450 --> 00:40:07,730 +ماشي جين معدى يعني at the five prime عند كل + +438 +00:40:07,730 --> 00:40:13,010 +constant فيه بتشين جين معدى ال constant اللي هو + +439 +00:40:13,010 --> 00:40:18,610 +delta بين delta و mu في منطقة بيسموها stretch + +440 +00:40:18,610 --> 00:40:23,970 +switch region وهي عبارة عن stretch of repeating + +441 +00:40:23,970 --> 00:40:31,550 +base sequence طبعا this region S regionهي من يسمح + +442 +00:40:31,550 --> 00:40:39,790 +of any constant heavy chain gene ماشي قلنا معاها + +443 +00:40:39,790 --> 00:40:44,370 +ده constant delta to associate with the VDJ unit + +444 +00:40:44,370 --> 00:40:50,590 +وبالتالي بيصير في عنا only the constant heavy gene + +445 +00:40:50,590 --> 00:40:55,130 +Gamma 1 Gamma 3 طب الأولى يعني كله انحذف + +446 +00:40:58,750 --> 00:41:02,730 +Under the Stimulating Influence of Antigen + +447 +00:41:02,730 --> 00:41:09,830 +Antiderived T Cell Derived Cytokine قلنا تحت تأثير + +448 +00:41:09,830 --> 00:41:13,350 +اللي هو مين الانتيجن والكائن اللي طالع من ال T + +449 +00:41:13,350 --> 00:41:18,370 +Cell ايش اللي بيصير قالولا بيسل with the VDG unit + +450 +00:41:18,370 --> 00:41:27,340 +Linked Cµ وC دلتا بيصير في ارثر rearrangementعشان + +451 +00:41:27,340 --> 00:41:34,900 +الـ VDJ الجديد اللي موجود يرتبط بـ S region in + +452 +00:41:34,900 --> 00:41:39,240 +front في مقدمة أي other constant heavy region gene + +453 +00:41:39,240 --> 00:41:46,160 +وفي ال figure كان Gamma 1 طبعا بعد ذلك ال primary + +454 +00:41:46,160 --> 00:41:50,540 +RNA transcript is made from rearranged DNA و ال + +455 +00:41:50,540 --> 00:41:55,040 +introns are spliced out وطلعنا mature messenger + +456 +00:41:55,040 --> 00:42:01,820 +RNAاللي وش كود for IGG-1 Heavy Chain وطبعا + +457 +00:42:01,820 --> 00:42:07,960 +intervening C-region DNA is removed في هذه الحالة + +458 +00:42:07,960 --> 00:42:12,540 +أو في هذه المرحلة The cell loses its ability to + +459 +00:42:12,540 --> 00:42:16,940 +revert to making a class of antibody whose + +460 +00:42:16,940 --> 00:42:20,740 +constant region gene has been deleted اللي انمحى + +461 +00:42:20,740 --> 00:42:26,450 +اللي انحزفمن الـ constant gene ما بنفع الخلية ترجع + +462 +00:42:26,450 --> 00:42:31,890 +تصنع منه تاني Class + +463 +00:42:31,890 --> 00:42:35,350 +-watching is a mechanism unique to immunoglobulin + +464 +00:42:35,350 --> 00:42:40,250 +-inhibited chain أو B cell and it allows an + +465 +00:42:40,250 --> 00:42:43,710 +antibody with a single antigenic specificity to + +466 +00:42:43,710 --> 00:42:46,070 +associate with variety of different constant + +467 +00:42:46,070 --> 00:42:51,470 +region in a chain وبالتالي بيصير فينا different + +468 +00:42:51,470 --> 00:42:56,760 +effector functionهو مثال على ذلك يعني ال VDG unit + +469 +00:42:56,760 --> 00:43:01,320 +specific for bacterial antigen may be linked by + +470 +00:43:01,320 --> 00:43:08,440 +constant gamma بتطلعنا IGG وطبعا ال IGG هذا دي + +471 +00:43:08,440 --> 00:43:11,820 +ارتبط مع ال macro phase اللي لها receptor لل FC + +472 +00:43:11,820 --> 00:43:13,820 +portion of IGG + +473 +00:43:16,370 --> 00:43:24,110 +the same VDG VDJ ممكن ترتبط بال constant epsilon + +474 +00:43:24,110 --> 00:43:30,530 +gene عشان تطلعني IGE اللي أيضا له receptor على سطح + +475 +00:43:30,530 --> 00:43:38,590 +ال muscle ل ال FC epsilon region ال cytokine جميعا + +476 +00:43:38,590 --> 00:43:42,090 +بلعب دور كبير في عملية ال class switching على سبيل + +477 +00:43:42,090 --> 00:43:48,690 +المثال يوم تفريذ النجام انترفيرونالـ B-Lymphocytes + +478 +00:43:48,690 --> 00:43:57,430 +يتعاملون مع جيناتها لتعامل مع جامعة 2 جينات مستمرة + +479 +00:43:57,430 --> 00:44:03,010 +وبالتالي الـ B-Lymphocytes يتعاملون مع IGG2 + +480 +00:44:03,010 --> 00:44:08,090 +-Synthesis لو كان الـ cytokine IL4 يتطلع لنا يا + +481 +00:44:08,090 --> 00:44:17,830 +إما IGG4 يا إما IGE كل كائن الـ cytokineهو يفكر في + +482 +00:44:17,830 --> 00:44:28,450 +خسارة مصادر الـDNA الـDouble Helix الـDNA + +483 +00:44:28,450 --> 00:44:44,390 +الـDouble + +484 +00:44:44,390 --> 00:44:45,730 +Helix الـDNA الـDouble Helix الـDouble Helix + +485 +00:44:45,730 --> 00:44:45,770 +الـDouble Helix الـDouble Helix الـDouble Helix + +486 +00:44:45,770 --> 00:44:48,960 +الـDouble Helix الـDouble Helixهيبتشينجين هو + +487 +00:44:48,960 --> 00:44:53,860 +انزاين اسمه which recombinates enzyme طيب فى + +488 +00:44:53,860 --> 00:44:56,800 +ميكانيزمات أخرى ان انتوا شايفين كل اللى فاتر ايه + +489 +00:44:56,800 --> 00:45:02,140 +ان ان فى كل مرة هذه الجينات تتصفى تصفيتها مختلفة + +490 +00:45:02,140 --> 00:45:07,260 +وبالتالي تدينى different immunoglobulin for each B + +491 +00:45:07,260 --> 00:45:11,900 +lymphocytes وبالتالي بيكونلى عدد هائل جدا من ال + +492 +00:45:11,900 --> 00:45:17,670 +antibody المختلفةبشكل خاص بهم هناك حاجات تانية + +493 +00:45:17,670 --> 00:45:24,730 +ممكن تزوّد ال diversity في الوقت طبعا في انها من + +494 +00:45:24,730 --> 00:45:28,370 +الحاجات التادية نمرا واحد presence of multiple + +495 +00:45:28,370 --> 00:45:34,190 +variable gene in the germ line طبعا هذا بيمثل لدي + +496 +00:45:34,190 --> 00:45:37,730 +number of different antibody that can be + +497 +00:45:37,730 --> 00:45:42,150 +reproduced يعني يعني كل مرة بتصفط وتصفيتها مختلفة + +498 +00:45:44,080 --> 00:45:52,820 +الـ VG والـ VDG الوضع + +499 +00:45:52,820 --> 00:45:57,360 +الوضع الوضع الوضع الوضع الوضع الوضع + +500 +00:45:57,360 --> 00:45:58,720 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +501 +00:45:58,720 --> 00:45:58,800 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +502 +00:45:58,800 --> 00:46:02,700 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +503 +00:46:02,700 --> 00:46:02,760 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +504 +00:46:02,760 --> 00:46:05,360 +الوضع الوضع الوضع الوضع + +505 +00:46:07,750 --> 00:46:11,990 +على سبيل المثال فى عنا اربعين Vkappa مع خمسة + +506 +00:46:11,990 --> 00:46:21,070 +Jkappa فى عنا متين gene يعني متين فرصة تغيير بتصير + +507 +00:46:21,070 --> 00:46:28,150 +فى هذه المنطقة لحالها اللى هى ال variable و ال + +508 +00:46:28,150 --> 00:46:31,450 +lambda فى عنا اربعين variable lambda مع اربعة + +509 +00:46:31,450 --> 00:46:37,250 +joining بتحمل مائة و ستينLambda different gene + +510 +00:46:37,250 --> 00:46:42,310 +لأنه في كل مرة ممكن يتغيره لـH لـNew يعني لـ + +511 +00:46:42,310 --> 00:46:45,810 +Probability هذه عبارة عن Probability الاحتمالية + +512 +00:46:45,810 --> 00:46:51,670 +انه تغيرهم كل مرة و تصفيتهم تصفيتها مختلفة و حصل + +513 +00:46:51,670 --> 00:46:57,430 +ضرب عدد الجينات اللي موجودة في الجهتين طب لو قلنا + +514 +00:46:57,430 --> 00:47:05,360 +ان ال variable ال heavyخمسين في الـ variable + +515 +00:47:05,360 --> 00:47:08,760 +وعشرين في ال diversity وستة في ال joining يعني فيه + +516 +00:47:08,760 --> 00:47:14,980 +ست آلاف مختلفة تصفيطة Rearrangement وبالتالي تست + +517 +00:47:14,980 --> 00:47:23,140 +ست آلاف مختلفة Heavy Chain is produced Random + +518 +00:47:23,140 --> 00:47:26,440 +Assortment of Heavy and Lighter Chain طبيعي جدا + +519 +00:47:26,440 --> 00:47:31,000 +على ال probability لتصفيت التنتين مع بعض هو عبارة + +520 +00:47:31,000 --> 00:47:35,720 +عن حصل ضرب التنين مع بعضفعلى سبيل المثال for كابا + +521 +00:47:35,720 --> 00:47:41,760 +نضروه بالمية وستين في ستة لاف بتلعبنا عدد مخول من + +522 +00:47:41,760 --> 00:47:50,740 +ال age احتمالية حدوث او انتاج كابا في عامل تالت او + +523 +00:47:50,740 --> 00:47:54,980 +رابع اسمه junctional and insertional diversity + +524 +00:47:54,980 --> 00:47:58,100 +قالوا عملية التلزيج + +525 +00:48:00,860 --> 00:48:07,720 +هي عبارة عن عملية غير دقيقة عملية التصفيت في ال + +526 +00:48:07,720 --> 00:48:15,400 +DNA ماشي والتلزيج هي عبارة عن عملية غير دقيقة ماشي + +527 +00:48:15,400 --> 00:48:21,620 +فبصير فيه ايش عملية deletion او تغيير في ال amino + +528 +00:48:21,620 --> 00:48:27,840 +acid في منطقة التلزيج بسموها دي دائرة junctional + +529 +00:48:27,840 --> 00:48:36,140 +diversityو طبعا هذا التغيير ايضا بيضيف اضافة تغيير + +530 +00:48:36,140 --> 00:48:44,280 +ل ال fab region و هي عبارة عن جزء او ال hyper + +531 +00:48:44,280 --> 00:48:47,240 +variable region هي عبارة عن جزء من ال fab region + +532 +00:48:47,240 --> 00:48:50,300 +كمان + +533 +00:48:50,300 --> 00:48:53,980 +مش بس بيصير عملية deletion ممكن يصير في insertion + +534 +00:48:53,980 --> 00:49:01,150 +يعني اضافةماشي فبالتالي بيخش شوية amino acid في + +535 +00:49:01,150 --> 00:49:09,430 +منطقة الإضافة والمسؤول عن هذه العملية انزايم اسمه + +536 +00:49:09,430 --> 00:49:14,610 +terminal deoxynucleotide transferase انزايم او TDT + +537 +00:49:14,610 --> 00:49:23,360 +انزايم موجود في ال immature B cell او T cellطبعاً + +538 +00:49:23,360 --> 00:49:27,920 +الإضافة اللي صارت مرة تانية بيسموها N-region + +539 +00:49:27,920 --> 00:49:34,580 +بيسموها N-region diversity Somatic hypermutation + +540 +00:49:34,580 --> 00:49:39,040 +برضه آلية جديدة بتوضيف إضافة لل diversity of + +541 +00:49:39,040 --> 00:49:42,600 +immunoglobulin and TCR بيقولوا إنه بيصير فيه + +542 +00:49:42,600 --> 00:49:45,740 +mutation بيصير في ال variable gene of heavy + +543 +00:49:45,740 --> 00:49:50,140 +unlighted chain بتزود ال variability و antibody + +544 +00:49:50,140 --> 00:49:55,950 +produced by B cellالـ Antibody of Low Affinity + +545 +00:49:55,950 --> 00:50:03,490 +تنتج في تجارب أساسية للـ Antigen. وكما تتجارب + +546 +00:50:03,490 --> 00:50:10,810 +التجارب تتجارب تجارب الـDNA الخاص بها، تتجارب + +547 +00:50:10,810 --> 00:50:16,490 +تجارب الـDNA الخاص بها، تتجارب تجارب الـDNA الخاص + +548 +00:50:16,490 --> 00:50:19,230 +بها، تتجارب تجارب الـDNA الخاص بها، تتجارب تجارب + +549 +00:50:19,230 --> 00:50:22,830 +تجارب الـDNA الخاص بها، تتجارب تجارب تجارب الـDNA + +550 +00:50:22,830 --> 00:50:22,930 +الخاص بها، تتجارب تجارب تجارب الـDNA الخاص بها، + +551 +00:50:22,930 --> 00:50:24,860 +تجارب الـDNA الخاص بها، تتجارمن أولئك على جرم + +552 +00:50:24,860 --> 00:50:31,280 +العين الـDNA هذا الانتقال ينتهي من مواصلة ميوتشين + +553 +00:50:31,280 --> 00:50:36,420 +وهي بيصير في الـ VDG تتعامل مع جنة مختلفة من + +554 +00:50:36,420 --> 00:50:40,300 +الانتيبادي التي + +555 +00:50:40,300 --> 00:50:45,000 +تنتهي في تغيير الأمينواسد طبعا هذه الظاهرة بيسموها + +556 +00:50:45,000 --> 00:50:52,220 +Somatic Hypermutation وهذه بتصير بسرعة تقريباعشر + +557 +00:50:52,220 --> 00:50:56,600 +تلاف ضعف higher زيادة عن الـ Normal Rate of + +558 +00:50:56,600 --> 00:51:02,020 +Mutation.Somatic Hyper-Mutation أيضًا، ينتج في + +559 +00:51:02,020 --> 00:51:08,840 +أعضاء أفينيتي وانتبادي ثانوية.Somatic + +560 +00:51:08,840 --> 00:51:14,400 +Gene Conversion، + +561 +00:51:14,400 --> 00:51:16,940 +دعونا نشوف الفيجوري القادم، + +562 +00:51:20,560 --> 00:51:25,280 +الـ Somatic Gene Conversion تجعل الناس مختلفًا في + +563 +00:51:25,280 --> 00:51:29,600 +الـ Immunoglobulin جين من مجموعات مختلفة طبعًا + +564 +00:51:29,600 --> 00:51:35,860 +الفيجوري اللي قدامنا بيبين لنا الـ Phenomena طبعًا + +565 +00:51:35,860 --> 00:51:38,920 +ظاهرة معمولة على الـ Chicken Immunoglobulin Naval + +566 +00:51:38,920 --> 00:51:45,060 +Chain Locus Short Sequence of DNA from one or more + +567 +00:51:45,060 --> 00:51:49,860 +pseudo gene دخل على الخطةواحد او اكتر من الـ + +568 +00:51:49,860 --> 00:51:58,400 +Pseudogen بيصير لهم copying into rearranged VDJ + +569 +00:51:58,400 --> 00:52:05,900 +unit هي طبعا هي ال variable و هي ال diversity و هي + +570 +00:52:05,900 --> 00:52:10,240 +ال joining مرتبطين بالconstant بيصير rearrangement + +571 +00:52:10,240 --> 00:52:14,740 +وبعدين بيصير في somatic gene conversion لأن واحد + +572 +00:52:14,740 --> 00:52:17,260 +من الجينات بيتغير الى ايش + +573 +00:52:19,900 --> 00:52:26,640 +الى يعني في اكتر في في شوية اضافة جينات جديدة في + +574 +00:52:26,640 --> 00:52:30,220 +التصفيطة غالبا هي عملها pseudo gene لكنها توضيف + +575 +00:52:30,220 --> 00:52:35,360 +اضافة وفي التغيير ال receptor editing برضه ظاهرة + +576 +00:52:35,360 --> 00:52:42,080 +ايضا بتصير هي ان الخلية تعمل second rearrangement + +577 +00:52:42,080 --> 00:52:47,240 +في ال light exchange gene rearrangement بعد مايكون + +578 +00:52:47,240 --> 00:52:53,400 +الـ first rearrangement is + +579 +00:52:53,400 --> 00:52:57,240 +failed.ماشي، + +580 +00:52:57,240 --> 00:53:01,080 +هي cell in the B-cell lineage can undergo a second + +581 +00:53:01,080 --> 00:53:03,680 +rearrangement of its lighted chain variable gene + +582 +00:53:03,680 --> 00:53:09,520 +segment after it has formed a recombined VG unit + +583 +00:53:09,520 --> 00:53:14,220 +.ماشي، as this process is known as receptor + +584 +00:53:14,220 --> 00:53:14,600 +editing. + +585 +00:53:21,700 --> 00:53:25,600 +بالتالي الـ diversity بتختلف وبتزيد هي الـ + +586 +00:53:25,600 --> 00:53:30,320 +receptor editing وقتيش بصير يوم in the B cell with + +587 +00:53:30,320 --> 00:53:34,300 +a receptor specific for a self-antigen interact + +588 +00:53:34,300 --> 00:53:39,160 +with that self-antigen يعني لو طلعنا antibody ماشي + +589 +00:53:39,870 --> 00:53:43,810 +الـ Antibody هدا is specific for self-antigen + +590 +00:53:43,810 --> 00:53:46,970 +بيصير في حاجة بيسموها Receptor Editing، أيش اللي + +591 +00:53:46,970 --> 00:53:52,390 +بيصير؟ بتلع الخلية وهي عاملة تصفيطة جديدة من + +592 +00:53:52,390 --> 00:53:57,090 +الجينات في ال-lighted chain فبتختلف التصفيطة، أبدأ + +593 +00:53:57,090 --> 00:54:00,990 +عن التصفيطة الأولانية وبالتالي بيصير non-specific + +594 +00:54:00,990 --> 00:54:02,690 +for self-antigen + +595 +00:54:06,160 --> 00:54:12,800 +الـ outcome of this interaction هو أن الـ V مع الـ + +596 +00:54:12,800 --> 00:54:18,420 +J جين بيعملوا + +597 +00:54:18,420 --> 00:54:20,880 +secondary arrangement زي ما قلت لكوا و بالتالي + +598 +00:54:20,880 --> 00:54:26,220 +بيدونا new VG recognition اللي ما بتتعرف على الـ + +599 +00:54:26,220 --> 00:54:27,020 +self antigen + +600 +00:54:29,730 --> 00:54:34,550 +طبعا كل هذه الميكانيزمات بتساهم في الـ Formation + +601 +00:54:34,550 --> 00:54:39,490 +of a huge library أو بيسموها Repertoire of B + +602 +00:54:39,490 --> 00:54:44,490 +lymphocyte اللي بتحتوي على كل specificity required + +603 +00:54:44,490 --> 00:54:49,110 +to deal with the multitude of diverse Epitopes + +604 +00:54:49,110 --> 00:54:54,910 +عندها Antibody الآن تستطيع أن تتعامل مع كل Epitope + +605 +00:54:55,910 --> 00:55:01,470 +اللي ممكن يواجه اللي هو الـ Antibody.The number of + +606 +00:55:01,470 --> 00:55:03,950 +total immunoglobulin specificity that can be + +607 +00:55:03,950 --> 00:55:07,670 +generated في أي individual هو عشر أقوى خمستاشر + +608 +00:55:07,670 --> 00:55:12,250 +which is increased even more by somatic + +609 +00:55:12,250 --> 00:55:20,410 +hypermutation.لدى ال activation induced citadine + +610 +00:55:22,310 --> 00:55:27,470 +deaminase في generation of diversity هذا طبعا من + +611 +00:55:27,470 --> 00:55:31,190 +الإسم activation-induced citadine deaminase يعني + +612 +00:55:31,190 --> 00:55:35,910 +بيشيل citadine في عملية إيه اللي هو ال diversity + +613 +00:55:35,910 --> 00:55:41,330 +طبعا هذا بضيف إضافة لل diversity AID plays a key + +614 +00:55:41,330 --> 00:55:44,470 +role in initiating class switching phenomena or + +615 +00:55:44,470 --> 00:55:48,680 +recombinationSOMATIC HYPERMUTATION AND GENE + +616 +00:55:48,680 --> 00:55:50,940 +CONVERSION بالعبارة كبيرة في التلاتة التلاتة + +617 +00:55:50,940 --> 00:55:53,460 +الطريقة الرئيسية التي تجعلها تتجارب بكثير من + +618 +00:55:53,460 --> 00:55:59,560 +الانتيموديا ماذا يفعل الـ Aشي الظاهرة هذه؟ الـ A + +619 +00:55:59,560 --> 00:56:04,400 +ID تحرر الجمع الـ 6D من الـ DNA في الـ activated B + +620 +00:56:04,400 --> 00:56:08,720 +-cell ويحولها إلى اليوردين طبعا هذي في هذه الحلقة + +621 +00:56:08,720 --> 00:56:14,180 +مثلنا UG Base Pair في الـ DNAوالـ mismatch base + +622 +00:56:14,180 --> 00:56:17,580 +pairs are then removed by one of several different + +623 +00:56:17,580 --> 00:56:26,800 +enzymes وهذه بالتالي بتنتج تنتج لنا different DNA + +624 +00:56:26,800 --> 00:56:33,920 +أو تغييرات في ال DNA primarily in immunoglobulin V + +625 +00:56:33,920 --> 00:56:35,240 +region gene + +626 +00:56:40,970 --> 00:56:47,070 +يعني يبقى تشيل ستة دين في الموضوع طيب بهيك نكون + +627 +00:56:47,070 --> 00:56:53,270 +خلصنا اللي هو المخادرة أرجو أن تكونوا قد استمتعتم + +628 +00:56:53,270 --> 00:56:54,090 +بها + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..120e18e6929d32041c0a1a54e3c20c29132c0140 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/LehIRFy0Pm8_raw.srt @@ -0,0 +1,2552 @@ +1 +00:00:03,590 --> 00:00:06,310 +بسم الله الرحمن الرحيم اروح حضرتنا اليوم عن ال + +2 +00:00:06,310 --> 00:00:11,410 +genetic basis of antibody structure من المعروف + +3 +00:00:11,410 --> 00:00:16,090 +اليوم انه في عيننا different antigenic specificity + +4 +00:00:16,090 --> 00:00:19,910 +من خلايا ال B lymphocyte وT lymphocyte بيصل عددها + +5 +00:00:19,910 --> 00:00:24,410 +إلى عشر قوة من عشر قوة خمستاشر لعشر قوة تمانتاشر + +6 +00:00:24,410 --> 00:00:29,380 +يعني في عيندي different Bwith different + +7 +00:00:29,380 --> 00:00:34,300 +specificity و different T ايضا have different TCR + +8 +00:00:34,300 --> 00:00:40,780 +بهذا العدد و these are protein يعني they are + +9 +00:00:40,780 --> 00:00:48,700 +genetically coded وبالتالي they need gene for + +10 +00:00:48,700 --> 00:00:53,480 +their productionإلا أن عدد الجينات اللي موجودة لا + +11 +00:00:53,480 --> 00:00:57,920 +تتجاوز في الجسم ال individual يعني لا تتجاوز عشرين + +12 +00:00:57,920 --> 00:01:03,460 +ألف لخمسة عشرين ألف فكيف هذا العدد القليل من + +13 +00:01:03,460 --> 00:01:09,100 +الجينات يستطيع أن يصنع هذا العدد المهول من ال + +14 +00:01:09,100 --> 00:01:15,400 +immunoglobulin أو ال TCR سوسومو + +15 +00:01:15,400 --> 00:01:24,640 +توني جاوةفي 1976 اخد Nobel Prize اكتشف على ان + +16 +00:01:24,640 --> 00:01:31,700 +الجينات تستطيع ان تتحرك و تتصفط within the genome + +17 +00:01:31,700 --> 00:01:41,500 +in differentiating B cell and T cellيعني الجينات + +18 +00:01:41,500 --> 00:01:48,280 +تستطيع ان تتحرك من مكانها وتتصفط تصفيتها تصفيتات + +19 +00:01:48,280 --> 00:01:49,980 +مختلفة في كل مرة + +20 +00:01:53,720 --> 00:01:56,440 +طبعا هو اكتشف هذا الأمر و أثبتوا من خلال ال + +21 +00:01:56,440 --> 00:02:00,600 +southern blotting عمل southern blotting لمين؟ لل + +22 +00:02:00,600 --> 00:02:08,920 +genes فلجأها في مرحلة مختلفة من اللي هو العمر + +23 +00:02:08,920 --> 00:02:14,940 +الخلية فوجد انه فيه جينات بتختلف بيختلف مواقعها + +24 +00:02:14,940 --> 00:02:22,190 +باختلاف اللي هو ال maturity of the cellكمان وصل + +25 +00:02:22,190 --> 00:02:30,750 +لمرحلة وطلعت نتيجة ان different V region gene can + +26 +00:02:30,750 --> 00:02:36,610 +be linked up together with a single constant + +27 +00:02:36,610 --> 00:02:44,210 +region gene يعني جينات مسئولة عن ال variable + +28 +00:02:44,210 --> 00:02:47,510 +region متعددة + +29 +00:02:48,780 --> 00:02:57,320 +ممكن ترتبط ب single constant region gene وهذا وضع + +30 +00:02:57,320 --> 00:03:04,080 +طبيعي جدا ممكن يكون عندنا different IgG the + +31 +00:03:04,080 --> 00:03:08,000 +same IgG with different specificity the same IgG + +32 +00:03:08,000 --> 00:03:14,000 +with different specificity طبعا + +33 +00:03:14,000 --> 00:03:19,780 +أحسنprototypical gene coding يعني for trans + +34 +00:03:19,780 --> 00:03:25,880 +membrane or non immunoglobulin any بروتين يصنع في + +35 +00:03:25,880 --> 00:03:34,020 +الجسم بهذا التسلسل كلنا بنعرف أنه فينا DNA بيصيرله + +36 +00:03:34,020 --> 00:03:39,890 +primary transcriptثم ماتشورينج ميسنجرالاني اللى + +37 +00:03:39,890 --> 00:03:44,350 +بعدها بينتقل الى ال translation وفي ال endoplasmic + +38 +00:03:44,350 --> 00:03:48,110 +reticulum بيتصن على البروتين ما ينطبق طبعا على هذا + +39 +00:03:48,110 --> 00:03:55,910 +هذا ينطبق على ال ال immunoglobulin وعلى ال TCR في + +40 +00:03:55,910 --> 00:04:00,610 +مقدمة كل + +41 +00:04:00,610 --> 00:04:07,350 +DNA sequence في حاجة بيسموها ال Exonموجودة على ال + +42 +00:04:07,350 --> 00:04:12,690 +five prime end of the DNA وقال اختصار ل leader + +43 +00:04:12,690 --> 00:04:18,510 +sequence وهذه تقريبا code for ten hydrophobic + +44 +00:04:18,510 --> 00:04:27,950 +amino acids و اللي طبعا بيكونوا في ال end terminal + +45 +00:04:27,950 --> 00:04:35,450 +end of the protein وظيفة ال leaderIs to direct the + +46 +00:04:35,450 --> 00:04:40,670 +synthesis of polypeptide chain وين توصلها ل ال + +47 +00:04:40,670 --> 00:04:44,590 +endoplasmic reticulum وبستصل هناك بستصلها cleaved + +48 +00:04:44,590 --> 00:04:50,790 +off تنقطع فبدل ال DNA لحالهيبقى ما هيقود ال DNA + +49 +00:04:50,790 --> 00:04:57,410 +إلى ال endoplasmic reticulum هو ال leader sequence + +50 +00:04:57,410 --> 00:05:02,210 +اللي موجود في مقدمة ال DNA طبعا هناك في ال + +51 +00:05:02,210 --> 00:05:05,630 +endoplasmic reticulum يتصنع اللي هو ال protein + +52 +00:05:05,630 --> 00:05:10,690 +اللي احنا بنحكي عليه ثمبيتحرك الى الجوجي ابراطس + +53 +00:05:10,690 --> 00:05:15,450 +ينتقل الى الجوجي ابراطس ومن هناك بيطلع على ال cell + +54 +00:05:15,450 --> 00:05:20,750 +membrane وهذه هي الرحلة الطبيعية لتصنيع اي protein + +55 +00:05:20,750 --> 00:05:24,710 +ال variable region و ال constant region of a new + +56 +00:05:24,710 --> 00:05:28,670 +globulin are coded by different gene مزال ال + +57 +00:05:28,670 --> 00:05:33,910 +variable many variable can يعني bind to one + +58 +00:05:33,910 --> 00:05:40,280 +constantبالمقابل بالمناسبة كمان one constant gene + +59 +00:05:40,280 --> 00:05:45,720 +ممكن different constant gene ممكن يرتبطوا ب one + +60 +00:05:45,720 --> 00:05:56,420 +variable gene او gene يعني money antibody can have + +61 +00:05:56,420 --> 00:06:00,320 +the same specificity طبعا من معرفتني لهذه + +62 +00:06:00,320 --> 00:06:04,200 +المعلومات طلعوا بنتيجة على ان ال variable و ال + +63 +00:06:04,200 --> 00:06:07,310 +constant geneأو الـRegion في الـ Immunoglobulin + +64 +00:06:07,310 --> 00:06:12,850 +يتعامل مع جينات مختلفة ومختلفة الـ Antibody gene + +65 +00:06:12,850 --> 00:06:17,090 +بإمكانه تتحرك و تتعامل بنفسه داخل الجنون تتعامل + +66 +00:06:17,090 --> 00:06:20,730 +بنفسه و تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه + +67 +00:06:20,730 --> 00:06:23,650 +و تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +68 +00:06:23,650 --> 00:06:23,910 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +69 +00:06:23,910 --> 00:06:24,190 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +70 +00:06:24,190 --> 00:06:26,610 +تتعامل بنفسه و تتعامل بنفسه و تتعامل بنفسه و + +71 +00:06:26,610 --> 00:06:32,940 +تتعامل بنفسه و تتعامل بنفسwhich code for variable + +72 +00:06:32,940 --> 00:06:37,520 +and constant region بتتصفط الجينات اللي مسئولة عن + +73 +00:06:37,520 --> 00:06:42,920 +تصنيع ال variable و ال constant region طبعا بعد + +74 +00:06:42,920 --> 00:06:46,380 +هيك بيصير بعد التصفيت بيصير transcription ثم + +75 +00:06:46,380 --> 00:06:52,020 +translation و في النهاية بيطلع انها heavy and + +76 +00:06:52,020 --> 00:06:56,840 +lighted chain of immunoglobulin و هي ما ينطبق على + +77 +00:06:56,840 --> 00:06:59,620 +ال immunoglobulin ينطبق على TCR + +78 +00:07:01,700 --> 00:07:05,540 +طيب شو اللي بصير؟ خلّينا نشوف واحدة واحدة genetic + +79 +00:07:05,540 --> 00:07:08,640 +event in the synthesis of immunoglobulin chain + +80 +00:07:08,640 --> 00:07:12,300 +ونشوف ال lighted chain كلنا بنعرف ان ال lighted + +81 +00:07:12,300 --> 00:07:16,040 +chain هي عبارة عن كعبة او لمدة two types of + +82 +00:07:16,040 --> 00:07:29,380 +lighted chain polypeptide موجودين طبعا هدولة كل + +83 +00:07:29,380 --> 00:07:34,710 +واحدة منهمبتتكوّن من variable region و constant + +84 +00:07:34,710 --> 00:07:38,890 +region عشان هيك بيسموها variable light و constant + +85 +00:07:38,890 --> 00:07:48,830 +light ال variable light روحها بتتكوّن من 108 amino + +86 +00:07:48,830 --> 00:07:57,170 +acid or residue في ال region and this region + +87 +00:07:59,370 --> 00:08:03,830 +التصنيع يتم تصنيعه بـ Two Separate Gene Segments + +88 +00:08:03,830 --> 00:08:08,990 +الذي مسئول عن تصنيعها Two Gene Segments من الـ + +89 +00:08:08,990 --> 00:08:13,390 +Human Genome سمّوا الـ Segments الأولانية V + +90 +00:08:13,390 --> 00:08:23,630 +Variable وهذه تقوم بتصنيع الـ First 95 Anino Acid + +91 +00:08:23,630 --> 00:08:29,950 +Residue والـ Joining Segmentsمسؤول عن باقي تصنيع + +92 +00:08:29,950 --> 00:08:33,850 +باقي اللي هو ال amino acids تحت ال lighted chain + +93 +00:08:33,850 --> 00:08:38,930 +sequence اللي هم تلتاشر residue at the carboxy + +94 +00:08:38,930 --> 00:08:42,770 +terminal end of the variable region يوجه lighted + +95 +00:08:42,770 --> 00:08:47,090 +chain اللي مسؤول عنها ال variable region في ال + +96 +00:08:47,090 --> 00:08:50,170 +lighted chain اللي مسؤول عنها two gene segment هم + +97 +00:08:50,170 --> 00:08:54,910 +ال V ال variable يعني segment وال L segment اللي + +98 +00:08:54,910 --> 00:09:00,080 +هي ال J segment اللي هي ال joiningواحدة code for + +99 +00:09:00,080 --> 00:09:08,340 +95 amino acid residues وواحدة code for 13 amino + +100 +00:09:08,340 --> 00:09:14,700 +acid residues تنين مع بعض مجموحهم 108 ال one + +101 +00:09:14,700 --> 00:09:22,520 +variable gene and one J يعني joining جين يرتبطوا + +102 +00:09:22,520 --> 00:09:26,520 +مع بعض are brought togetherبالنسبة للجنوم البشرى + +103 +00:09:26,520 --> 00:09:32,120 +ماهو الهدف؟ بيشكله واحدة بناء واحدة بناء لـ one + +104 +00:09:32,120 --> 00:09:35,880 +amino acid الهدول بعدين برتبطوا بال constant + +105 +00:09:35,880 --> 00:09:41,080 +region gene وبالتالي بيصير في عنا DNA مسئول عن + +106 +00:09:41,080 --> 00:09:46,820 +تصنيع ال lighted chain كاملة 2 variable واحد + +107 +00:09:46,820 --> 00:09:51,840 +constant وبالتالي كل ال lighted chain is coded by + +108 +00:09:51,840 --> 00:09:56,880 +this sequenceهذا ميكانيزم الوحوش الوحش الوحش الوحش + +109 +00:09:56,880 --> 00:10:04,400 +الوحش الوحش الوحش الوحش + +110 +00:10:04,400 --> 00:10:10,080 +الوحش + +111 +00:10:10,080 --> 00:10:17,280 +الوحش + +112 +00:10:17,280 --> 00:10:19,060 +الوحش الوحش الوحش الوحش الوحش الوحش الوحش الوحش + +113 +00:10:19,060 --> 00:10:21,230 +الوحش الوحش الوحش الوحش الوحشطب شو اللي بيجمع هذه + +114 +00:10:21,230 --> 00:10:24,770 +الجينات مع بعض؟ قالوا في انزيم اسمه VDJ + +115 +00:10:24,770 --> 00:10:29,990 +-recombinase enzyme هو اللي بيعمل rearrangement ل + +116 +00:10:29,990 --> 00:10:34,250 +ال receptor gene in both B and T cell + +117 +00:10:40,000 --> 00:10:44,040 +جينين two types of recombinase موجود في ال human + +118 +00:10:44,040 --> 00:10:50,180 +genome او بي سل اللي هم راج واحد و راج اتنين بي سل + +119 +00:10:50,180 --> 00:10:54,040 +و تي سل طبعا ما ينطبق على ال بي ينطبق على ال تي + +120 +00:10:54,040 --> 00:10:57,800 +اللي هم راج واحد و راج اتنين اللي هو two + +121 +00:10:57,800 --> 00:11:03,000 +recombinase انزايم ناشي واحد و اتنين بيسموهم + +122 +00:11:03,000 --> 00:11:09,640 +recombination activating geneهم اللي مسؤولين عن + +123 +00:11:09,640 --> 00:11:17,980 +عملية ال recombination of these segments + +124 +00:11:17,980 --> 00:11:23,200 +الاتنين + +125 +00:11:23,200 --> 00:11:33,500 +راج واحد راج اتنين طبعا بيصنعولي protein which is + +126 +00:11:33,500 --> 00:11:35,460 +required for the first stage of cutting + +127 +00:11:36,770 --> 00:11:41,390 +immunoglobulin and TCRDNA هم المسؤولين عن تصنيع ال + +128 +00:11:41,390 --> 00:11:46,230 +DNA + +129 +00:11:46,230 --> 00:11:50,630 +وتجميعه وبالتالي هيدينا ال protein في النهاية + +130 +00:11:50,630 --> 00:11:57,410 +ووجدوا ان ال mice lacking rag gene يسمونه rag + +131 +00:11:57,410 --> 00:12:03,070 +knockout mice لا في عنده بيسل ولا في عنده تيسل + +132 +00:12:04,240 --> 00:12:11,700 +وبالتالي هما مهم جدًا في الـ B و T-Lymphocyte + +133 +00:12:11,700 --> 00:12:16,420 +.عرفنا + +134 +00:12:16,420 --> 00:12:22,040 +إن الـ VDG Recombinase إنزايم موجودين في الـ B و T + +135 +00:12:22,040 --> 00:12:26,840 +-cell ووظيفتهم الأساسية is repairing of DNA + +136 +00:12:26,840 --> 00:12:34,960 +strandsوهي موجودة فقط في الـ B و الـ T لينفوسايتس + +137 +00:12:34,960 --> 00:12:39,100 +يعني وددوهم فقط موجودين في وين في الـ B و الـ T + +138 +00:12:39,100 --> 00:12:45,820 +لينفوسايتس طيب نطبق احنا شفنا ال lighted chain + +139 +00:12:45,820 --> 00:12:55,400 +نشوف الكابا جايب كابا الجين تبعها موجود في كرومزوم + +140 +00:12:55,400 --> 00:13:02,290 +2 كابا لوكاسوالـ Rearrangement للـ أو الـ + +141 +00:13:02,290 --> 00:13:07,070 +Arrangement للكعبة gene in the germ line is as + +142 +00:13:07,070 --> 00:13:12,310 +follows وهدوا انه فيه اربعين different gene + +143 +00:13:12,310 --> 00:13:18,970 +مسئولين عن تصنيع ال variable كعبة gene احنا في + +144 +00:13:18,970 --> 00:13:26,170 +عندنا V وJ اربعين فقطللـ variable region اللي هم + +145 +00:13:26,170 --> 00:13:31,130 +coding for core ال first خمسة وتسعين amino acids + +146 +00:13:31,130 --> 00:13:37,610 +في الكعبة variable region طبعا هدولة بيسبقهم قطعة + +147 +00:13:37,610 --> 00:13:44,050 +ال leader sequence ماشي و بينهم و بين ال leader + +148 +00:13:44,050 --> 00:13:48,810 +sequence في انترنت يعني separated by انترنت + +149 +00:13:51,950 --> 00:13:56,390 +طبعا في الصورة القادمة ان شاء الله ال leader + +150 +00:13:56,390 --> 00:14:03,230 +مرحزوفة just for simplicity وهذا هي الصورة اللى + +151 +00:14:03,230 --> 00:14:07,190 +بتبين لي كيف اللى بصير هي ال variable قولناها في + +152 +00:14:07,190 --> 00:14:14,830 +اربعين هي V1 V2 V3 لغاية VN قدش عددهم اربعين ثم فى + +153 +00:14:14,830 --> 00:14:19,910 +خمسة gene مسئولين او موجودين في ال joining region + +154 +00:14:20,350 --> 00:14:25,070 +أي من واحد لخمسة واحد اتنين تلاتة اربعة خمسة كل + +155 +00:14:25,070 --> 00:14:31,710 +هدولة مسئولين عن تصنيع ال VL او ال V Kappa المثال + +156 +00:14:31,710 --> 00:14:35,630 +هذا عن Kappa طبعا هدول برتبطوا بنين بال constant + +157 +00:14:35,630 --> 00:14:41,450 +اللي موجود المسئول عن ال ال ال gene اللي مسئول عن + +158 +00:14:41,450 --> 00:14:46,290 +constant region of Kappa lighted chain فبصير في + +159 +00:14:46,290 --> 00:14:52,770 +عندي variable genesوjoining gene و one constant + +160 +00:14:52,770 --> 00:14:58,510 +gene هذا الكلام مين بيصير؟ في ال germ line they + +161 +00:14:58,510 --> 00:15:02,490 +are usually unrearranged لكن during + +162 +00:15:02,490 --> 00:15:10,530 +differentiation بصير لهم rearrangement يعني during + +163 +00:15:10,530 --> 00:15:15,050 +maturation of B lymphocyte بيصير فيه rearrangement + +164 +00:15:15,050 --> 00:15:20,740 +لمين؟ لهذه الجيناتفبجينا شوية جينات V1 V2 من ال + +165 +00:15:20,740 --> 00:15:24,860 +segment هذي وجي أربعة وجي خمسة من ال segment بتاعة + +166 +00:15:24,860 --> 00:15:28,940 +الجي برضه بيضلوا مرتبطين مع one constant gene of + +167 +00:15:28,940 --> 00:15:33,460 +each of cover طبعا بعد هيكة بس اللي هم + +168 +00:15:33,460 --> 00:15:39,060 +transcription اللي هذي بتتصفط الجينات صفطت واتصفيت + +169 +00:15:39,060 --> 00:15:44,280 +عشفاوي بالمناسبة فكل مرة بيكون جينات مختلفةبسبب + +170 +00:15:44,280 --> 00:15:47,520 +الـ Transcription هو بيكونه الـ Primary RNA + +171 +00:15:47,520 --> 00:15:51,500 +Transcript هذا هو يظل one variable gene و اتنين + +172 +00:15:51,500 --> 00:15:56,820 +joining مع constant وهذا طبعا ال RNA هو عبارة عن + +173 +00:15:56,820 --> 00:16:01,540 +Primary RNA which is a crude RNA بس له splicing + +174 +00:16:01,540 --> 00:16:06,440 +فبيظل عندنا one variable one joining مع one + +175 +00:16:06,440 --> 00:16:11,680 +constant gene و هذا بيسموه ال mature messenger RNA + +176 +00:16:13,030 --> 00:16:16,570 +اللي بعد ذلك بيروح سلو ترانسليشن في الاندوبلازميك + +177 +00:16:16,570 --> 00:16:20,990 +راتيكولام و بيصنع ليه البروتين اللي بيتكون هيه من + +178 +00:16:20,990 --> 00:16:27,430 +جزء variable كابا و جزء constant كابا هذه عبارة عن + +179 +00:16:27,430 --> 00:16:34,770 +polypeptide chain of كابا lighted chain وهذا + +180 +00:16:34,770 --> 00:16:36,590 +التسلسل الطبيعي لتصنيع + +181 +00:16:39,790 --> 00:16:44,030 +طبعاً زي ما اتفقنا خلاص جينات موجودين في الـ J + +182 +00:16:44,030 --> 00:16:47,670 +segment وكل + +183 +00:16:47,670 --> 00:16:55,750 +جين من الـ J segment code for تلتاشر amino acid + +184 +00:16:55,750 --> 00:17:04,210 +residue من ال 96 لغاية ال 108على الـ Variable + +185 +00:17:04,210 --> 00:17:08,410 +Region بعد + +186 +00:17:08,410 --> 00:17:13,990 +ذلك يأتي الـ Entrance الذي بعد ذلك يرتبط بالـ + +187 +00:17:13,990 --> 00:17:18,410 +Constant Gene Segment لتصميم + +188 +00:17:18,410 --> 00:17:26,730 +الـ JK Gene Segment أخيرًا + +189 +00:17:26,730 --> 00:17:34,910 +لتصميم الكابوتشين لأنقل سل بسل لينجبتعمل selection + +190 +00:17:34,910 --> 00:17:44,710 +لـ one variable كعبة gene from its DNA وهذا برتبط + +191 +00:17:44,710 --> 00:17:52,710 +physically بـ one جين من الـ J كعبة segment وبصير + +192 +00:17:52,710 --> 00:17:57,290 +في rearrangement لاتنين على زي ما شفنا في figure 6 + +193 +00:17:57,290 --> 00:18:03,950 +.2 إيجا V2 مع J4وبدأ يشتغل طبعا اللي عمل هذه + +194 +00:18:03,950 --> 00:18:10,530 +التصفيطة او التجميعة هو ال VDJ Recombines Enzyme و + +195 +00:18:10,530 --> 00:18:15,770 +اللي بيعمل Joining it usually recognizes + +196 +00:18:15,770 --> 00:18:22,850 +recombination sequence اللي طبعا which is located + +197 +00:18:22,850 --> 00:18:28,550 +in the variable and G gene segment كما شفنا بالظبط + +198 +00:18:28,550 --> 00:18:30,650 +في الفيجر السابق + +199 +00:18:33,570 --> 00:18:39,670 +العملية تجميع ان اتنين يتحركوا ويتجمعوا جان بعض + +200 +00:18:39,670 --> 00:18:44,830 +ويتصفطوا جان بعض بتتم من خلال اللي هو ال looping + +201 +00:18:44,830 --> 00:18:50,030 +of DNA كذا بتتم عملية ال looping جانو ال DNA بيلف + +202 +00:18:50,030 --> 00:18:57,030 +حوالين نفسه ماشي و بيلف ب system معين اما ب one + +203 +00:18:57,030 --> 00:19:03,690 +turn لفة واحدة او لفتين لغاية ما يصلقاشلتقريب الـ + +204 +00:19:03,690 --> 00:19:10,430 +V2 مع الـ J4 بعد ذلك يوجد Restriction enzyme يقطع + +205 +00:19:10,430 --> 00:19:17,010 +ال loop و يدلل ال gene تبع V2 مع V4 مرتبط مع الـ + +206 +00:19:17,010 --> 00:19:28,440 +J4 وهي V1 V2 J4 J5 و الباقية كلها مقطعة قراءةيبقى + +207 +00:19:28,440 --> 00:19:32,460 +عملية تصفيط الجينات وتجميع حجم بعيد بتتم من خلال + +208 +00:19:32,460 --> 00:19:38,460 +restriction enzyme ماشي أولا بيصير looping لل loop + +209 +00:19:38,460 --> 00:19:44,540 +formation by making either one turn or two turn + +210 +00:19:45,060 --> 00:19:50,240 +طبعاً لفة أو لفتين لل DNA وطبعاً بيجي ال + +211 +00:19:50,240 --> 00:19:54,100 +restriction enzyme بيقطع هذه ال loop و بيجي بعد + +212 +00:19:54,100 --> 00:20:02,980 +هيك ال recombinase enzyme بيجمع الجينات جنب عيد هي + +213 +00:20:02,980 --> 00:20:07,120 +بالظبط زي ما شرحنا ال intervening DNA is looped في + +214 +00:20:07,120 --> 00:20:12,940 +slow looping ثم cut out and broken down بنقطة و + +215 +00:20:12,940 --> 00:20:14,600 +after rearrangement + +216 +00:20:16,800 --> 00:20:21,260 +بصير فيه Primary RNA Transcript عادي مثلا الـ + +217 +00:20:21,260 --> 00:20:27,860 +Slicing و بالتالي بصير فينا V Kappa و J Kappa و C + +218 +00:20:27,860 --> 00:20:31,900 +Kappa زي ما شفنا في ال figure في ال mature + +219 +00:20:31,900 --> 00:20:35,190 +messenger RNAاللي بيروح على الـ endoplasmic + +220 +00:20:35,190 --> 00:20:41,550 +reticulum بس تصل هناك الـ L الـ leader sequence is + +221 +00:20:41,550 --> 00:20:46,410 +cleaved off وبالتالي المسنجر نيبسله translation + +222 +00:20:46,410 --> 00:20:53,450 +into كابة بوريبلتايد ال chain هلال كابة ال chain + +223 +00:20:53,450 --> 00:20:57,450 +اللي اتكونتبتنتقل إلى الـ Lumen of Endoplasmic + +224 +00:20:57,450 --> 00:21:00,990 +reticulum و هناك بيكون فيه already heavy chain + +225 +00:21:00,990 --> 00:21:05,530 +اتصنعت فبترتبط فيها و بيكونوا ال immunoglobulin + +226 +00:21:05,530 --> 00:21:11,130 +كامل ما ينطبق على ال light chain ينطبق على ال + +227 +00:21:11,130 --> 00:21:17,810 +heavy chain لكن فيه متغيرين متغير الأولاني أي + +228 +00:21:17,810 --> 00:21:22,410 +الفجر كامل في عندنا ال variable region اللي مشغول + +229 +00:21:22,410 --> 00:21:27,990 +عن تصنيع ال heavy chaincoded by three gene segment + +230 +00:21:27,990 --> 00:21:35,130 +مش two ايه ال variable وفي عندي D segment اللي هي + +231 +00:21:35,130 --> 00:21:41,850 +diversity ثم joining اللي هي J segment وايه زي ما + +232 +00:21:41,850 --> 00:21:45,970 +انتوا شايفين ال variable فيها تقريبا خمسين gene في + +233 +00:21:45,970 --> 00:21:48,570 +بعض المراتحة بتقول الف gene يشترك في ال variable + +234 +00:21:48,570 --> 00:21:53,810 +region و ال diversity لل heavy فيها حوالي عشرين + +235 +00:21:53,810 --> 00:22:00,170 +geneوالـ Joining Segment فيها حوالي ستة جين يبقى + +236 +00:22:00,170 --> 00:22:04,570 +أول اختلاف ان الـ Variable Region فيها ثلاث جين + +237 +00:22:04,570 --> 00:22:06,810 +سيجمانت انستد of اتين جين سيجمانت انستد of اتين + +238 +00:22:06,810 --> 00:22:11,830 +جين سيجمانت في الـ Heavy في تلاتة جين سيجمانت + +239 +00:22:14,640 --> 00:22:19,360 +في الـ lighted chain هذه الـ segments ترتبط بـ one + +240 +00:22:19,360 --> 00:22:22,720 +constant gene هنا بترتبط بتسعة different constant + +241 +00:22:22,720 --> 00:22:28,200 +gene لإن في عندنا تسعة different type or class and + +242 +00:22:28,200 --> 00:22:33,000 +subclass of immunoglobulin في عندنا الـ mu و ال + +243 +00:22:33,000 --> 00:22:38,300 +delta جامعة تلاتة جامعة واحد alpha one جامعة two + +244 +00:22:38,300 --> 00:22:42,760 +جامعة four epsilon alpha two و هكذا ماشي + +245 +00:22:45,050 --> 00:22:52,610 +دول تسعة different gene وبالتالي بيصير في عيننا في + +246 +00:22:52,610 --> 00:22:58,410 +ال .. موجود في عيننا في ال germ line DNA before a + +247 +00:22:58,410 --> 00:23:03,250 +rearrangement already موجود جينات مسئولة عن هذه عن + +248 +00:23:03,250 --> 00:23:11,170 +ال hefe gene كاملة constant و variable طبعا في ال + +249 +00:23:11,170 --> 00:23:16,720 +differentiated B lymphocytesو مرة تانية بنذكر ما + +250 +00:23:16,720 --> 00:23:20,000 +ينطبق على ال T ينطبق على ال TCR ال P يعني ينطبق + +251 +00:23:20,000 --> 00:23:26,600 +على ال T بصيحى rearrangement لل gene فال variable + +252 +00:23:26,600 --> 00:23:29,740 +هدا هنا أخدنا واحد من ال variable region و ال + +253 +00:23:29,740 --> 00:23:33,160 +diversity أخدنا واحد ال joining still تانين + +254 +00:23:33,160 --> 00:23:37,280 +مرتبطين بكل ال constant gene هاي التصفيطة لسه مش + +255 +00:23:37,280 --> 00:23:42,200 +عارفين اي class من ال antibody بده يتصنعفي الغالب + +256 +00:23:42,200 --> 00:23:47,820 +زي ما انتم لاحظين اول تنين من ال constant gene هم + +257 +00:23:47,820 --> 00:23:53,120 +عبارة عن ميو دلتا هم اول من يتصنعوا ماشي بيصير ال + +258 +00:23:53,120 --> 00:24:00,300 +transcription وهي ال VDJ مرتبط بالميو دلتا ثم في + +259 +00:24:00,300 --> 00:24:06,560 +ال splicing كل لن ينقسم على حد بدينه two mature + +260 +00:24:06,560 --> 00:24:12,080 +messenger RNA واحدمسئول عن تصنيع الـ Mew Chain ده + +261 +00:24:12,080 --> 00:24:18,240 +هو VDJ Variable مرتبط بالكونستان جين of Mew وواحد + +262 +00:24:18,240 --> 00:24:22,460 +Messenger Amateur Messenger Raneemert مسئول عن + +263 +00:24:22,460 --> 00:24:28,540 +تصنيع الـ Delta in Global Indies وهي VDJ Delta + +264 +00:24:28,540 --> 00:24:35,420 +طبعا Translation بيطلع لنا اللي هو الـ Mew Chain و + +265 +00:24:35,420 --> 00:24:42,260 +Delta Chainof both immunoglobulin عشان هيك اول ما + +266 +00:24:42,260 --> 00:24:50,820 +يظهر على ال بيلمفوسايت surface هو both IgM و IgD + +267 +00:24:50,820 --> 00:24:56,680 +طيب انا شرحتلكوا ال figure خلينا نشوف ايش اللي + +268 +00:24:56,680 --> 00:25:03,040 +كتبناه في هذا الموضوع ال figure shows the + +269 +00:25:03,040 --> 00:25:06,160 +organization of gene coding for the heavy متفق + +270 +00:25:06,160 --> 00:25:06,440 +عليه + +271 +00:25:09,750 --> 00:25:13,190 +بالمقارنة مع ال variable region of lighted chain + +272 +00:25:13,190 --> 00:25:18,390 +اللي مسؤول عن تصنيح ال two gene segment هنا ال + +273 +00:25:18,390 --> 00:25:21,530 +variable region of heavy chain is constructed from + +274 +00:25:21,530 --> 00:25:28,490 +three gene segment ال V والD والJ دي denote for + +275 +00:25:28,490 --> 00:25:33,650 +the diversity ماشي هي عبارة عن extra segment دخلت + +276 +00:25:33,650 --> 00:25:38,680 +على الخطما يحدث هو عملية تصفيت للجينات على مرحلتين + +277 +00:25:38,680 --> 00:25:43,540 +أول شيء بيمسك الـD مع الـJ and they code for amino + +278 +00:25:43,540 --> 00:25:47,040 +acid sequence in the third hyperbaria و ال region + +279 +00:25:47,040 --> 00:25:52,880 +من الآخر أو بيسمونها complementary determining + +280 +00:25:52,880 --> 00:25:57,020 +region of the habit chain ثم هؤلاء اللي بيرتبطوا + +281 +00:25:57,020 --> 00:25:59,700 +مع الـV gene + +282 +00:26:01,860 --> 00:26:05,720 +وقلنا ال variable include فوق خمسين different + +283 +00:26:05,720 --> 00:26:11,980 +variable heavy chain gene وبالتالي بياخدوا one + +284 +00:26:11,980 --> 00:26:19,660 +gene فبصير في عندنا تصفيتة لل variable ثم مرتبطة + +285 +00:26:19,660 --> 00:26:24,660 +مع مين او ال DJ ارتبطت مع ال variable gene وفي + +286 +00:26:24,660 --> 00:26:29,060 +النهاية بتكوين لي DNA sequence طبعا في خمسين + +287 +00:26:29,060 --> 00:26:33,370 +different variable heavy chainعشرين مختلفة مختلفة + +288 +00:26:33,370 --> 00:26:37,170 +وستة مختلفة مجتمع مختلفة مختلفة مختلفة مختلفة + +289 +00:26:37,170 --> 00:26:39,830 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +290 +00:26:39,830 --> 00:26:52,970 +مختلفة مختلفة مختلفة مختلفة مختلفة مختلفة + +291 +00:27:01,840 --> 00:27:08,760 +و ال Intron هو عبارة عن Large Intron Area لكن أول + +292 +00:27:08,760 --> 00:27:14,480 +اتنين من ال constant region gene هم ال New Delta و + +293 +00:27:14,480 --> 00:27:19,600 +هم أول ما يتصنعوا في ال developing B lymphocytes + +294 +00:27:19,600 --> 00:27:25,540 +طب أنا برضه نفس الحكاية عملية التصفيت بيتخللها او + +295 +00:27:25,540 --> 00:27:31,180 +بيكون مسئول عنها ال VDJ recombinase enzymeهو اللي + +296 +00:27:31,180 --> 00:27:38,800 +بيربط ال different gene segment مع بعض و زي ما + +297 +00:27:38,800 --> 00:27:46,280 +اتفقنا انه التصفيطة بتتم على مرحلتين اول حاجة اول + +298 +00:27:46,280 --> 00:27:55,040 +مرحلة بتم ارتباط ال D segment مع ال J segment اللي + +299 +00:27:55,040 --> 00:27:58,360 +بعد هيك برتبطه بال V segment مع بعض + +300 +00:28:01,040 --> 00:28:03,260 +عند إعادة إعادة الـ DNA بعد ذلك يحصل على + +301 +00:28:03,260 --> 00:28:07,780 +ترانسكريبشن وترانسكريبشن + +302 +00:28:07,780 --> 00:28:13,600 +يتم تحويله إلى أول اتنين من الاصطناع الموجودة في + +303 +00:28:13,600 --> 00:28:18,920 +الميو والدلتا يتكوّن لبريماري ترانسكريبت اللي بعد + +304 +00:28:18,920 --> 00:28:23,820 +ذلك يحصل على سليسينج ويتكوّن لتو ميسنجر RNA ماتشور + +305 +00:28:23,820 --> 00:28:26,920 +ميسنجر RNA واحد مسؤول عن الميو واحد مسؤول عن + +306 +00:28:26,920 --> 00:28:31,360 +الدلتابعد ذلك بيصل لهم translation و بيروح عليها + +307 +00:28:31,360 --> 00:28:40,340 +بلازم كرتكولين و بيكونوا إما مو و بيكون دلتا طبعا + +308 +00:28:40,340 --> 00:28:45,960 +في هذه الحالة any individual will express both مو + +309 +00:28:45,960 --> 00:28:52,200 +و دلتا with identical antigenic specificity تنين + +310 +00:28:52,200 --> 00:28:56,510 +زي بعضعشان هيك التنين موجودين على خلية واحدة + +311 +00:28:56,510 --> 00:28:59,470 +والخلية هي specific for one antigen فال + +312 +00:28:59,470 --> 00:29:08,250 +specificity واحدة في التنين ال طبعا + +313 +00:29:08,250 --> 00:29:11,590 +بعد هيك بيصير في splicing لل heavy chain primary + +314 +00:29:11,590 --> 00:29:16,030 +transcript و بعد هيك بتكون اللي هو الميو دلتا + +315 +00:29:16,030 --> 00:29:18,110 +which is the secreted form of a heavy chain + +316 +00:29:18,110 --> 00:29:23,410 +polypeptideالـ two additional axons are found at + +317 +00:29:23,410 --> 00:29:27,250 +three prime ends of each constant heavy chain gene + +318 +00:29:27,250 --> 00:29:31,090 +they are not shown خلاص احنا أخدنا أول اتنين و + +319 +00:29:31,090 --> 00:29:36,510 +الباقى كله راح بعدين في عندنا Transmembrane form + +320 +00:29:36,510 --> 00:29:41,310 +of the molecule and a constant terminal end of the + +321 +00:29:41,310 --> 00:29:47,730 +secreted form of the moleculeالتانية الـ Exon هم + +322 +00:29:47,730 --> 00:29:53,270 +مقررين بالترجمة الأساسية لكن واحد منهم هو اللي + +323 +00:29:53,270 --> 00:30:00,130 +سلّه slicing out وفي النهاية بصير messenger ررني + +324 +00:30:00,130 --> 00:30:08,690 +ماشي بيكوّن لي ال heavy chain polypeptide بهيك + +325 +00:30:08,690 --> 00:30:14,300 +شفنا how can lighted chain and heavy chainbe + +326 +00:30:14,300 --> 00:30:19,000 +produced in the B lymphocytes كل على حدى وشوفنا + +327 +00:30:19,000 --> 00:30:23,620 +الخلافات الاختلافات اللي موجودة ما بين ال lighted + +328 +00:30:23,620 --> 00:30:29,520 +chain و heavy chain production method طيب how can + +329 +00:30:29,520 --> 00:30:37,100 +this procedure be regulated في أنها كم نقطة مسؤولة + +330 +00:30:37,100 --> 00:30:43,030 +عن ال regulation أول نقطة أن كل B lymphocyteتستخدم + +331 +00:30:43,030 --> 00:30:49,770 +only one set of VDJ gene for lighted chain + +332 +00:30:49,770 --> 00:30:54,870 +وبالتالي + +333 +00:30:54,870 --> 00:31:01,950 +المحصلة كل B lymphocyte بتطلع لنا lighted chain + +334 +00:31:01,950 --> 00:31:08,450 +with only one antigenic specificity يعني في كل مرة + +335 +00:31:08,450 --> 00:31:12,920 +الجينات بتصفطوا تصفيتها معينةوفي كل مرة بيدونا one + +336 +00:31:12,920 --> 00:31:16,040 +antigenic specificity سواء كان ال light ولا ال + +337 +00:31:16,040 --> 00:31:22,140 +heavy الحاجة التانية immunoglobulin are coded only + +338 +00:31:22,140 --> 00:31:27,860 +by one set of gene قلناها وهذه الجينات شوفوا + +339 +00:31:27,860 --> 00:31:32,810 +مصدرها إما maternal وإما paternalوهذه اختلاف اخر + +340 +00:31:32,810 --> 00:31:36,550 +جاي فى على الخط يمكن الاولانى انه اتصفطنا الجينات + +341 +00:31:36,550 --> 00:31:40,590 +تصفيطة واحدة وفي كل مرة تصفيط عشوائى بالمناسبة وفي + +342 +00:31:40,590 --> 00:31:45,190 +كل مرة بنختار تصفيطة معينة الحاجة التانية ان هذه + +343 +00:31:45,190 --> 00:31:50,290 +الجينات اما جاية من ال material origin or paternal + +344 +00:31:50,290 --> 00:31:54,990 +فال .. وعلى سبيل المثال ممكن هي بتكون جاية من ال + +345 +00:31:54,990 --> 00:31:58,350 +paternal ولا هي بتكون جاية من ايش؟ من ال material + +346 +00:31:59,560 --> 00:32:04,760 +وبيسمو هذه الظاهرة الـ Allelic Exclusion Phenomena + +347 +00:32:04,760 --> 00:32:11,000 +Allelic Exclusion يعني إيش؟ يعني إحنا بنستثني one + +348 +00:32:11,000 --> 00:32:17,040 +set of DNA gene وخصوصا بتتم هذه الحكاية إذا كان + +349 +00:32:17,040 --> 00:32:23,980 +فشل ال transcription أو فسل التصنيع لأحد الجينات + +350 +00:32:23,980 --> 00:32:27,180 +اللي جاية من الأب على طول بيستبدلوها بجينات جاية + +351 +00:32:27,180 --> 00:32:34,340 +من الأبإذا فشلت عملية التجارب في واحد الكرمزوم، + +352 +00:32:34,340 --> 00:32:40,140 +فسيستمر الكرمزوم الثاني بالتجارب في التجارب. + +353 +00:33:00,670 --> 00:33:10,970 +is specific only for one epitope فقط class + +354 +00:33:10,970 --> 00:33:17,190 +or isotopic isotype switching احنا بنعرف ايش + +355 +00:33:17,190 --> 00:33:21,400 +الisotype switching عملية اللي هو switchتغيير + +356 +00:33:21,400 --> 00:33:27,440 +الانتيبادي اللي صنعت يعني كيف ممكن احنا نصنع + +357 +00:33:27,440 --> 00:33:32,080 +انتيبادي من نوية معينة وبعدها هي تصنعها كيف ال IGM + +358 +00:33:32,080 --> 00:33:39,480 +بيجلب ال IGG او IGA او IGE او whatever خلينا نشوف + +359 +00:33:39,480 --> 00:33:42,200 +ان ال one B cell makes antibody in a single + +360 +00:33:42,200 --> 00:33:45,880 +specificity متفق عليه كل B لينفوسييت بتطلع لنا one + +361 +00:33:45,880 --> 00:33:53,230 +specific antibodyهو مقرر من طبيعة الـ VJ للضوء + +362 +00:33:53,230 --> 00:33:59,510 +والـ VDJ للهيوي يعني المسؤول عن هذا التصنيع هي الـ + +363 +00:33:59,510 --> 00:34:02,290 +Variable Region سواء كانت في الضوء ولا في الهيوي + +364 +00:34:02,290 --> 00:34:05,610 +الـ + +365 +00:34:05,610 --> 00:34:09,630 +Rearrangement اللي حصلت هذه بتصير في بياب الـ + +366 +00:34:09,630 --> 00:34:14,170 +Antigen وبتصير during B-cell differentiation + +367 +00:34:17,570 --> 00:34:21,510 +المحصلة بنصنع في هذه المرحلة two types of antibody + +368 +00:34:21,510 --> 00:34:26,350 +هو IgM و IgD and they both have the same antigenic + +369 +00:34:26,350 --> 00:34:34,270 +specificity وبالتالي ان individual بيسل عندها + +370 +00:34:34,270 --> 00:34:38,330 +القدرة ت switch اه to make different class of + +371 +00:34:38,330 --> 00:34:42,310 +antibody وبالتالي عندها القدرة انها تصنع انها IgG, + +372 +00:34:42,450 --> 00:34:47,380 +IgE, IgA بسموها هذه الظاهرةعن طريق التغيير العزيزي + +373 +00:34:47,380 --> 00:34:48,860 +أو التغيير العزيزي أو التغيير العزيزي أو التغيير + +374 +00:34:48,860 --> 00:34:52,440 +العزيزي أو التغيير العزيزي أو + +375 +00:34:52,440 --> 00:34:54,320 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +376 +00:34:54,320 --> 00:34:55,260 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +377 +00:34:55,260 --> 00:34:56,140 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +378 +00:34:56,140 --> 00:34:57,560 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +379 +00:34:57,560 --> 00:34:58,380 +التغيير العزيزي أو التغيير العزيزي أو التغيير + +380 +00:34:58,380 --> 00:35:00,380 +العزيزي أو التغيير العزيزي أو التغيير العزيزي أو + +381 +00:35:00,380 --> 00:35:04,580 +التغيير العزيزي أو التغيير العزيزيوتدّيني Antibody + +382 +00:35:04,580 --> 00:35:10,400 +جديد الخلية ال specificity تبعت ال Antibody لتصنع + +383 +00:35:10,400 --> 00:35:17,140 +الجديد بيكون have the same specificity as IgM وIgD + +384 +00:35:17,140 --> 00:35:21,620 +ال + +385 +00:35:21,620 --> 00:35:24,700 +class switching phenomena بتصير فى القدر ال + +386 +00:35:24,700 --> 00:35:30,360 +stimulated شوية لأولانى اللى بتتم التصنيعللـ IgM + +387 +00:35:30,360 --> 00:35:36,700 +والـ IgD في رياب اللي هو الـ Antigen لكن يوم ما + +388 +00:35:36,700 --> 00:35:41,380 +تعمل Switching لل Antibody بتصير في وجود الـ + +389 +00:35:41,380 --> 00:35:48,080 +Antigen Stimulated ماتور بـ Cells وبالتالي بيصير + +390 +00:35:48,080 --> 00:35:58,020 +في تصفيطة جديدة للجينات وكل + +391 +00:35:58,020 --> 00:36:02,750 +ما هناكأن نفس الـ VDG اللي مسؤول عن الـ Variable + +392 +00:36:02,750 --> 00:36:08,550 +Region بيمسكوا في الـ New Constant Region Gene + +393 +00:36:08,550 --> 00:36:14,790 +يعني الـ Variable بتتأثرش، بتدل زي ما هي عشان أيه + +394 +00:36:14,790 --> 00:36:18,310 +بنقول Have The Same Specificity لكن كل ما هناك الـ + +395 +00:36:18,310 --> 00:36:23,310 +VDG Segments اللي اتكونت بترتبط بـ New Constant + +396 +00:36:23,310 --> 00:36:27,290 +Gene فبالتالي بتغير ال class، بتغير ال class + +397 +00:36:29,430 --> 00:36:33,530 +In addition to Antigen يجب أن يكون هناك Antigen + +398 +00:36:33,530 --> 00:36:39,030 +مسئول عن هذه العملية في حاجة تانية برضه بتؤثر على + +399 +00:36:39,030 --> 00:36:41,430 +class switching phenomena وهي الـ cytokine + +400 +00:36:41,430 --> 00:36:45,570 +released by T lymphocyte + +401 +00:36:46,670 --> 00:36:49,650 +يحاولون أن يلعبوا دور كبير في الـ Class Switching + +402 +00:36:49,650 --> 00:36:55,090 +الانتجين والـ cytokine اللي موجود الـ cytokine + +403 +00:36:55,090 --> 00:36:58,550 +induce further development هو اللي مسؤول عن تصفيته + +404 +00:36:58,550 --> 00:37:02,890 +الجديدة من الـ DNA وي produce switching to other + +405 +00:37:02,890 --> 00:37:08,110 +immunoglobulin class بمسكه في الـ U Constantly + +406 +00:37:08,110 --> 00:37:14,450 +وبالتالي بيغيروا ال class وطبعا هذا + +407 +00:37:14,450 --> 00:37:15,690 +الكلام بيعتمد + +408 +00:37:22,730 --> 00:37:30,390 +الفكرة القادمة ان شاء الله هي 6.5 بيبين لنا كيف + +409 +00:37:30,390 --> 00:37:36,730 +ميكانيزم كيف بيصير ال match وبيلنق صحيح تحت class + +410 +00:37:36,730 --> 00:37:43,840 +switching وزي ما انتوا شايفين هي ال VDGمسك فيه في + +411 +00:37:43,840 --> 00:37:47,420 +الـ Mu و Delta أول اتنين و بصنعهم في غياب الـ + +412 +00:37:47,420 --> 00:37:52,020 +Antigen يوم ما يصير فيه Antigen و يصير فيه New + +413 +00:37:52,020 --> 00:37:59,300 +Rearrangement نفس الـ PDG هذا راح مسك فيه في الـ + +414 +00:37:59,300 --> 00:38:04,300 +Gamma 1 يعني IGG1 يعني هان أول كان يصنعني Mu و + +415 +00:38:04,300 --> 00:38:11,670 +Delta وجدت Gamma 1 اللي بدها تديني IGG1وزي ما + +416 +00:38:11,670 --> 00:38:15,710 +انتوا شايفين العملية بالتم كالقاتى او عملية + +417 +00:38:15,710 --> 00:38:20,410 +التحديد بالتم كالقاتى وجدوا انه ال constant gene + +418 +00:38:20,410 --> 00:38:24,590 +segment هذه اللي هي عبارة عن coding for تسعة + +419 +00:38:24,590 --> 00:38:28,870 +different constant gene ما بين كل ال gene والتاني + +420 +00:38:28,870 --> 00:38:33,190 +في repeated sequence اسمه S or switch region أي + +421 +00:38:33,190 --> 00:38:39,160 +المنطقة السوداء وهي عبارة عن القائد من يقوداللي هو + +422 +00:38:39,160 --> 00:38:44,560 +ارتباط الـ VDG بالـ constant gene هذا الكلام موجود + +423 +00:38:44,560 --> 00:38:47,780 +بين كل constant gene والتاني معدى لميو و الدلتا + +424 +00:38:47,780 --> 00:38:53,420 +عشان هيك يوم ما يمسك ال VDG بال switch region of + +425 +00:38:53,420 --> 00:38:58,780 +اول واحدة بصنع المتنين مع بعض لميو و الدلتا لكن + +426 +00:38:58,780 --> 00:39:03,600 +يوم ما يمسك فيAny other search region قدام بمسك + +427 +00:39:03,600 --> 00:39:13,280 +فقط بصنعنا ال class او ال body اللي مسك فيه على + +428 +00:39:13,280 --> 00:39:20,320 +سبيل المثال هذا مسك في جامعة one طبعا هي ال VDJ5 + +429 +00:39:20,320 --> 00:39:23,520 +V2D2J5 + +430 +00:39:23,520 --> 00:39:27,700 +مسكت في مين في جامعة one الباقي بيسأل + +431 +00:39:27,700 --> 00:39:32,110 +determination عندهأيو سلوك Transcription وظل عندنا + +432 +00:39:32,110 --> 00:39:36,170 +VDJ ماسك في Gamma 1 اللي بيدينا في النهاية + +433 +00:39:36,170 --> 00:39:40,910 +Messenger Match و ال Messenger راني مسئول عن ده هو + +434 +00:39:40,910 --> 00:39:48,310 +صفته خالص V1 V2 VD2 J5 and Gamma 1 هيطلع عندنا + +435 +00:39:48,310 --> 00:39:54,910 +IGG1 وهي الشريح يحكي لآياتي at the five prime end + +436 +00:39:54,910 --> 00:39:58,350 +of each every heavy chain constant region + +437 +00:40:01,450 --> 00:40:07,730 +ماشي جين معدى يعني at the five prime عند كل + +438 +00:40:07,730 --> 00:40:13,010 +constant فيه بتشين جين معدى ال constant اللي هو + +439 +00:40:13,010 --> 00:40:18,610 +delta بين delta و mu في منطقة بيسموها stretch + +440 +00:40:18,610 --> 00:40:23,970 +switch region وهي عبارة عن stretch of repeating + +441 +00:40:23,970 --> 00:40:31,550 +base sequence طبعا this region S regionهي من يسمح + +442 +00:40:31,550 --> 00:40:39,790 +of any constant heavy chain gene ماشي قلنا معاها + +443 +00:40:39,790 --> 00:40:44,370 +ده constant delta to associate with the VDJ unit + +444 +00:40:44,370 --> 00:40:50,590 +وبالتالي بيصير في عنا only the constant heavy gene + +445 +00:40:50,590 --> 00:40:55,130 +Gamma 1 Gamma 3 طب الأولى يعني كله انحذف + +446 +00:40:58,750 --> 00:41:02,730 +Under the Stimulating Influence of Antigen + +447 +00:41:02,730 --> 00:41:09,830 +Antiderived T Cell Derived Cytokine قلنا تحت تأثير + +448 +00:41:09,830 --> 00:41:13,350 +اللي هو مين الانتيجن والكائن اللي طالع من ال T + +449 +00:41:13,350 --> 00:41:18,370 +Cell ايش اللي بيصير قالولا بيسل with the VDG unit + +450 +00:41:18,370 --> 00:41:27,340 +Linked Cµ وC دلتا بيصير في ارثر rearrangementعشان + +451 +00:41:27,340 --> 00:41:34,900 +الـ VDJ الجديد اللي موجود يرتبط بـ S region in + +452 +00:41:34,900 --> 00:41:39,240 +front في مقدمة أي other constant heavy region gene + +453 +00:41:39,240 --> 00:41:46,160 +وفي ال figure كان Gamma 1 طبعا بعد ذلك ال primary + +454 +00:41:46,160 --> 00:41:50,540 +RNA transcript is made from rearranged DNA و ال + +455 +00:41:50,540 --> 00:41:55,040 +introns are spliced out وطلعنا mature messenger + +456 +00:41:55,040 --> 00:42:01,820 +RNAاللي وش كود for IGG-1 Heavy Chain وطبعا + +457 +00:42:01,820 --> 00:42:07,960 +intervening C-region DNA is removed في هذه الحالة + +458 +00:42:07,960 --> 00:42:12,540 +أو في هذه المرحلة The cell loses its ability to + +459 +00:42:12,540 --> 00:42:16,940 +revert to making a class of antibody whose + +460 +00:42:16,940 --> 00:42:20,740 +constant region gene has been deleted اللي انمحى + +461 +00:42:20,740 --> 00:42:26,450 +اللي انحزفمن الـ constant gene ما بنفع الخلية ترجع + +462 +00:42:26,450 --> 00:42:31,890 +تصنع منه تاني Class + +463 +00:42:31,890 --> 00:42:35,350 +-watching is a mechanism unique to immunoglobulin + +464 +00:42:35,350 --> 00:42:40,250 +-inhibited chain أو B cell and it allows an + +465 +00:42:40,250 --> 00:42:43,710 +antibody with a single antigenic specificity to + +466 +00:42:43,710 --> 00:42:46,070 +associate with variety of different constant + +467 +00:42:46,070 --> 00:42:51,470 +region in a chain وبالتالي بيصير فينا different + +468 +00:42:51,470 --> 00:42:56,760 +effector functionهو مثال على ذلك يعني ال VDG unit + +469 +00:42:56,760 --> 00:43:01,320 +specific for bacterial antigen may be linked by + +470 +00:43:01,320 --> 00:43:08,440 +constant gamma بتطلعنا IGG وطبعا ال IGG هذا دي + +471 +00:43:08,440 --> 00:43:11,820 +ارتبط مع ال macro phase اللي لها receptor لل FC + +472 +00:43:11,820 --> 00:43:13,820 +portion of IGG + +473 +00:43:16,370 --> 00:43:24,110 +the same VDG VDJ ممكن ترتبط بال constant epsilon + +474 +00:43:24,110 --> 00:43:30,530 +gene عشان تطلعني IGE اللي أيضا له receptor على سطح + +475 +00:43:30,530 --> 00:43:38,590 +ال muscle ل ال FC epsilon region ال cytokine جميعا + +476 +00:43:38,590 --> 00:43:42,090 +بلعب دور كبير في عملية ال class switching على سبيل + +477 +00:43:42,090 --> 00:43:48,690 +المثال يوم تفريذ النجام انترفيرونالـ B-Lymphocytes + +478 +00:43:48,690 --> 00:43:57,430 +يتعاملون مع جيناتها لتعامل مع جامعة 2 جينات مستمرة + +479 +00:43:57,430 --> 00:44:03,010 +وبالتالي الـ B-Lymphocytes يتعاملون مع IGG2 + +480 +00:44:03,010 --> 00:44:08,090 +-Synthesis لو كان الـ cytokine IL4 يتطلع لنا يا + +481 +00:44:08,090 --> 00:44:17,830 +إما IGG4 يا إما IGE كل كائن الـ cytokineهو يفكر في + +482 +00:44:17,830 --> 00:44:28,450 +خسارة مصادر الـDNA الـDouble Helix الـDNA + +483 +00:44:28,450 --> 00:44:44,390 +الـDouble + +484 +00:44:44,390 --> 00:44:45,730 +Helix الـDNA الـDouble Helix الـDouble Helix + +485 +00:44:45,730 --> 00:44:45,730 +الـDouble Helix الـDouble Helix الـDouble Helix + +486 +00:44:45,730 --> 00:44:45,730 +الـDouble Helix الـDouble Helix الـDouble Helix + +487 +00:44:45,730 --> 00:44:45,730 +الـDouble Helix الـDouble Helix الـDouble Helix + +488 +00:44:45,730 --> 00:44:45,730 +الـDouble Helix الـDouble Helix الـDouble Helix + +489 +00:44:45,730 --> 00:44:45,730 +الـDouble Helix الـDouble Helix الـDouble Helix + +490 +00:44:45,730 --> 00:44:45,770 +الـDouble Helix الـDouble Helix الـDouble Helix + +491 +00:44:45,770 --> 00:44:45,770 +الـDouble Helix الـDouble Helix الـDouble Helix + +492 +00:44:45,770 --> 00:44:45,770 +الـDouble Helix الـDouble Helix الـDouble Helix + +493 +00:44:45,770 --> 00:44:45,770 +الـDouble Helix الـDouble Helix الـDouble Helix + +494 +00:44:45,770 --> 00:44:48,960 +الـDouble Helix الـDouble Helixهيبتشينجين هو + +495 +00:44:48,960 --> 00:44:53,860 +انزاين اسمه which recombinates enzyme طيب فى + +496 +00:44:53,860 --> 00:44:56,800 +ميكانيزمات أخرى ان انتوا شايفين كل اللى فاتر ايه + +497 +00:44:56,800 --> 00:45:02,140 +ان ان فى كل مرة هذه الجينات تتصفى تصفيتها مختلفة + +498 +00:45:02,140 --> 00:45:07,260 +وبالتالي تدينى different immunoglobulin for each B + +499 +00:45:07,260 --> 00:45:11,900 +lymphocytes وبالتالي بيكونلى عدد هائل جدا من ال + +500 +00:45:11,900 --> 00:45:17,670 +antibody المختلفةبشكل خاص بهم هناك حاجات تانية + +501 +00:45:17,670 --> 00:45:24,730 +ممكن تزوّد ال diversity في الوقت طبعا في انها من + +502 +00:45:24,730 --> 00:45:28,370 +الحاجات التادية نمرا واحد presence of multiple + +503 +00:45:28,370 --> 00:45:34,190 +variable gene in the germ line طبعا هذا بيمثل لدي + +504 +00:45:34,190 --> 00:45:37,730 +number of different antibody that can be + +505 +00:45:37,730 --> 00:45:42,150 +reproduced يعني يعني كل مرة بتصفط وتصفيتها مختلفة + +506 +00:45:44,080 --> 00:45:52,820 +الـ VG والـ VDG الوضع + +507 +00:45:52,820 --> 00:45:57,360 +الوضع الوضع الوضع الوضع الوضع الوضع + +508 +00:45:57,360 --> 00:45:58,720 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +509 +00:45:58,720 --> 00:45:58,800 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +510 +00:45:58,800 --> 00:46:02,700 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +511 +00:46:02,700 --> 00:46:02,760 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +512 +00:46:02,760 --> 00:46:02,760 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +513 +00:46:02,760 --> 00:46:05,360 +الوضع الوضع الوضع الوضع + +514 +00:46:07,750 --> 00:46:11,990 +على سبيل المثال فى عنا اربعين Vkappa مع خمسة + +515 +00:46:11,990 --> 00:46:21,070 +Jkappa فى عنا متين gene يعني متين فرصة تغيير بتصير + +516 +00:46:21,070 --> 00:46:28,150 +فى هذه المنطقة لحالها اللى هى ال variable و ال + +517 +00:46:28,150 --> 00:46:31,450 +lambda فى عنا اربعين variable lambda مع اربعة + +518 +00:46:31,450 --> 00:46:37,250 +joining بتحمل مائة و ستينLambda different gene + +519 +00:46:37,250 --> 00:46:42,310 +لأنه في كل مرة ممكن يتغيره لـH لـNew يعني لـ + +520 +00:46:42,310 --> 00:46:45,810 +Probability هذه عبارة عن Probability الاحتمالية + +521 +00:46:45,810 --> 00:46:51,670 +انه تغيرهم كل مرة و تصفيتهم تصفيتها مختلفة و حصل + +522 +00:46:51,670 --> 00:46:57,430 +ضرب عدد الجينات اللي موجودة في الجهتين طب لو قلنا + +523 +00:46:57,430 --> 00:47:05,360 +ان ال variable ال heavyخمسين في الـ variable + +524 +00:47:05,360 --> 00:47:08,760 +وعشرين في ال diversity وستة في ال joining يعني فيه + +525 +00:47:08,760 --> 00:47:14,980 +ست آلاف مختلفة تصفيطة Rearrangement وبالتالي تست + +526 +00:47:14,980 --> 00:47:23,140 +ست آلاف مختلفة Heavy Chain is produced Random + +527 +00:47:23,140 --> 00:47:26,440 +Assortment of Heavy and Lighter Chain طبيعي جدا + +528 +00:47:26,440 --> 00:47:31,000 +على ال probability لتصفيت التنتين مع بعض هو عبارة + +529 +00:47:31,000 --> 00:47:35,720 +عن حصل ضرب التنين مع بعضفعلى سبيل المثال for كابا + +530 +00:47:35,720 --> 00:47:41,760 +نضروه بالمية وستين في ستة لاف بتلعبنا عدد مخول من + +531 +00:47:41,760 --> 00:47:50,740 +ال age احتمالية حدوث او انتاج كابا في عامل تالت او + +532 +00:47:50,740 --> 00:47:54,980 +رابع اسمه junctional and insertional diversity + +533 +00:47:54,980 --> 00:47:58,100 +قالوا عملية التلزيج + +534 +00:48:00,860 --> 00:48:07,720 +هي عبارة عن عملية غير دقيقة عملية التصفيت في ال + +535 +00:48:07,720 --> 00:48:15,400 +DNA ماشي والتلزيج هي عبارة عن عملية غير دقيقة ماشي + +536 +00:48:15,400 --> 00:48:21,620 +فبصير فيه ايش عملية deletion او تغيير في ال amino + +537 +00:48:21,620 --> 00:48:27,840 +acid في منطقة التلزيج بسموها دي دائرة junctional + +538 +00:48:27,840 --> 00:48:36,140 +diversityو طبعا هذا التغيير ايضا بيضيف اضافة تغيير + +539 +00:48:36,140 --> 00:48:44,280 +ل ال fab region و هي عبارة عن جزء او ال hyper + +540 +00:48:44,280 --> 00:48:47,240 +variable region هي عبارة عن جزء من ال fab region + +541 +00:48:47,240 --> 00:48:50,300 +كمان + +542 +00:48:50,300 --> 00:48:53,980 +مش بس بيصير عملية deletion ممكن يصير في insertion + +543 +00:48:53,980 --> 00:49:01,150 +يعني اضافةماشي فبالتالي بيخش شوية amino acid في + +544 +00:49:01,150 --> 00:49:09,430 +منطقة الإضافة والمسؤول عن هذه العملية انزايم اسمه + +545 +00:49:09,430 --> 00:49:14,610 +terminal deoxynucleotide transferase انزايم او TDT + +546 +00:49:14,610 --> 00:49:23,360 +انزايم موجود في ال immature B cell او T cellطبعاً + +547 +00:49:23,360 --> 00:49:27,920 +الإضافة اللي صارت مرة تانية بيسموها N-region + +548 +00:49:27,920 --> 00:49:34,580 +بيسموها N-region diversity Somatic hypermutation + +549 +00:49:34,580 --> 00:49:39,040 +برضه آلية جديدة بتوضيف إضافة لل diversity of + +550 +00:49:39,040 --> 00:49:42,600 +immunoglobulin and TCR بيقولوا إنه بيصير فيه + +551 +00:49:42,600 --> 00:49:45,740 +mutation بيصير في ال variable gene of heavy + +552 +00:49:45,740 --> 00:49:50,140 +unlighted chain بتزود ال variability و antibody + +553 +00:49:50,140 --> 00:49:55,950 +produced by B cellالـ Antibody of Low Affinity + +554 +00:49:55,950 --> 00:50:03,490 +تنتج في تجارب أساسية للـ Antigen. وكما تتجارب + +555 +00:50:03,490 --> 00:50:10,810 +التجارب تتجارب تجارب الـDNA الخاص بها، تتجارب + +556 +00:50:10,810 --> 00:50:16,490 +تجارب الـDNA الخاص بها، تتجارب تجارب الـDNA الخاص + +557 +00:50:16,490 --> 00:50:19,230 +بها، تتجارب تجارب الـDNA الخاص بها، تتجارب تجارب + +558 +00:50:19,230 --> 00:50:22,830 +تجارب الـDNA الخاص بها، تتجارب تجارب تجارب الـDNA + +559 +00:50:22,830 --> 00:50:22,930 +الخاص بها، تتجارب تجارب تجارب الـDNA الخاص بها، + +560 +00:50:22,930 --> 00:50:22,930 +تتجارب تجارب تجارب الـDNA الخاص بها، تتجارب تجارب + +561 +00:50:22,930 --> 00:50:24,860 +تجارب الـDNA الخاص بها، تتجارمن أولئك على جرم + +562 +00:50:24,860 --> 00:50:31,280 +العين الـDNA هذا الانتقال ينتهي من مواصلة ميوتشين + +563 +00:50:31,280 --> 00:50:36,420 +وهي بيصير في الـ VDG تتعامل مع جنة مختلفة من + +564 +00:50:36,420 --> 00:50:40,300 +الانتيبادي التي + +565 +00:50:40,300 --> 00:50:45,000 +تنتهي في تغيير الأمينواسد طبعا هذه الظاهرة بيسموها + +566 +00:50:45,000 --> 00:50:52,220 +Somatic Hypermutation وهذه بتصير بسرعة تقريباعشر + +567 +00:50:52,220 --> 00:50:56,600 +تلاف ضعف higher زيادة عن الـ Normal Rate of + +568 +00:50:56,600 --> 00:51:02,020 +Mutation.Somatic Hyper-Mutation أيضًا، ينتج في + +569 +00:51:02,020 --> 00:51:08,840 +أعضاء أفينيتي وانتبادي ثانوية.Somatic + +570 +00:51:08,840 --> 00:51:14,400 +Gene Conversion، + +571 +00:51:14,400 --> 00:51:16,940 +دعونا نشوف الفيجوري القادم، + +572 +00:51:20,560 --> 00:51:25,280 +الـ Somatic Gene Conversion تجعل الناس مختلفًا في + +573 +00:51:25,280 --> 00:51:29,600 +الـ Immunoglobulin جين من مجموعات مختلفة طبعًا + +574 +00:51:29,600 --> 00:51:35,860 +الفيجوري اللي قدامنا بيبين لنا الـ Phenomena طبعًا + +575 +00:51:35,860 --> 00:51:38,920 +ظاهرة معمولة على الـ Chicken Immunoglobulin Naval + +576 +00:51:38,920 --> 00:51:45,060 +Chain Locus Short Sequence of DNA from one or more + +577 +00:51:45,060 --> 00:51:49,860 +pseudo gene دخل على الخطةواحد او اكتر من الـ + +578 +00:51:49,860 --> 00:51:58,400 +Pseudogen بيصير لهم copying into rearranged VDJ + +579 +00:51:58,400 --> 00:52:05,900 +unit هي طبعا هي ال variable و هي ال diversity و هي + +580 +00:52:05,900 --> 00:52:10,240 +ال joining مرتبطين بالconstant بيصير rearrangement + +581 +00:52:10,240 --> 00:52:14,740 +وبعدين بيصير في somatic gene conversion لأن واحد + +582 +00:52:14,740 --> 00:52:17,260 +من الجينات بيتغير الى ايش + +583 +00:52:19,900 --> 00:52:26,640 +الى يعني في اكتر في في شوية اضافة جينات جديدة في + +584 +00:52:26,640 --> 00:52:30,220 +التصفيطة غالبا هي عملها pseudo gene لكنها توضيف + +585 +00:52:30,220 --> 00:52:35,360 +اضافة وفي التغيير ال receptor editing برضه ظاهرة + +586 +00:52:35,360 --> 00:52:42,080 +ايضا بتصير هي ان الخلية تعمل second rearrangement + +587 +00:52:42,080 --> 00:52:47,240 +في ال light exchange gene rearrangement بعد مايكون + +588 +00:52:47,240 --> 00:52:53,400 +الـ first rearrangement is + +589 +00:52:53,400 --> 00:52:57,240 +failed.ماشي، + +590 +00:52:57,240 --> 00:53:01,080 +هي cell in the B-cell lineage can undergo a second + +591 +00:53:01,080 --> 00:53:03,680 +rearrangement of its lighted chain variable gene + +592 +00:53:03,680 --> 00:53:09,520 +segment after it has formed a recombined VG unit + +593 +00:53:09,520 --> 00:53:14,220 +.ماشي، as this process is known as receptor + +594 +00:53:14,220 --> 00:53:14,600 +editing. + +595 +00:53:21,700 --> 00:53:25,600 +بالتالي الـ diversity بتختلف وبتزيد هي الـ + +596 +00:53:25,600 --> 00:53:30,320 +receptor editing وقتيش بصير يوم in the B cell with + +597 +00:53:30,320 --> 00:53:34,300 +a receptor specific for a self-antigen interact + +598 +00:53:34,300 --> 00:53:39,160 +with that self-antigen يعني لو طلعنا antibody ماشي + +599 +00:53:39,870 --> 00:53:43,810 +الـ Antibody هدا is specific for self-antigen + +600 +00:53:43,810 --> 00:53:46,970 +بيصير في حاجة بيسموها Receptor Editing، أيش اللي + +601 +00:53:46,970 --> 00:53:52,390 +بيصير؟ بتلع الخلية وهي عاملة تصفيطة جديدة من + +602 +00:53:52,390 --> 00:53:57,090 +الجينات في ال-lighted chain فبتختلف التصفيطة، أبدأ + +603 +00:53:57,090 --> 00:54:00,990 +عن التصفيطة الأولانية وبالتالي بيصير non-specific + +604 +00:54:00,990 --> 00:54:02,690 +for self-antigen + +605 +00:54:06,160 --> 00:54:12,800 +الـ outcome of this interaction هو أن الـ V مع الـ + +606 +00:54:12,800 --> 00:54:18,420 +J جين بيعملوا + +607 +00:54:18,420 --> 00:54:20,880 +secondary arrangement زي ما قلت لكوا و بالتالي + +608 +00:54:20,880 --> 00:54:26,220 +بيدونا new VG recognition اللي ما بتتعرف على الـ + +609 +00:54:26,220 --> 00:54:27,020 +self antigen + +610 +00:54:29,730 --> 00:54:34,550 +طبعا كل هذه الميكانيزمات بتساهم في الـ Formation + +611 +00:54:34,550 --> 00:54:39,490 +of a huge library أو بيسموها Repertoire of B + +612 +00:54:39,490 --> 00:54:44,490 +lymphocyte اللي بتحتوي على كل specificity required + +613 +00:54:44,490 --> 00:54:49,110 +to deal with the multitude of diverse Epitopes + +614 +00:54:49,110 --> 00:54:54,910 +عندها Antibody الآن تستطيع أن تتعامل مع كل Epitope + +615 +00:54:55,910 --> 00:55:01,470 +اللي ممكن يواجه اللي هو الـ Antibody.The number of + +616 +00:55:01,470 --> 00:55:03,950 +total immunoglobulin specificity that can be + +617 +00:55:03,950 --> 00:55:07,670 +generated في أي individual هو عشر أقوى خمستاشر + +618 +00:55:07,670 --> 00:55:12,250 +which is increased even more by somatic + +619 +00:55:12,250 --> 00:55:20,410 +hypermutation.لدى ال activation induced citadine + +620 +00:55:22,310 --> 00:55:27,470 +deaminase في generation of diversity هذا طبعا من + +621 +00:55:27,470 --> 00:55:31,190 +الإسم activation-induced citadine deaminase يعني + +622 +00:55:31,190 --> 00:55:35,910 +بيشيل citadine في عملية إيه اللي هو ال diversity + +623 +00:55:35,910 --> 00:55:41,330 +طبعا هذا بضيف إضافة لل diversity AID plays a key + +624 +00:55:41,330 --> 00:55:44,470 +role in initiating class switching phenomena or + +625 +00:55:44,470 --> 00:55:48,680 +recombinationSOMATIC HYPERMUTATION AND GENE + +626 +00:55:48,680 --> 00:55:50,940 +CONVERSION بالعبارة كبيرة في التلاتة التلاتة + +627 +00:55:50,940 --> 00:55:53,460 +الطريقة الرئيسية التي تجعلها تتجارب بكثير من + +628 +00:55:53,460 --> 00:55:59,560 +الانتيموديا ماذا يفعل الـ Aشي الظاهرة هذه؟ الـ A + +629 +00:55:59,560 --> 00:56:04,400 +ID تحرر الجمع الـ 6D من الـ DNA في الـ activated B + +630 +00:56:04,400 --> 00:56:08,720 +-cell ويحولها إلى اليوردين طبعا هذي في هذه الحلقة + +631 +00:56:08,720 --> 00:56:14,180 +مثلنا UG Base Pair في الـ DNAوالـ mismatch base + +632 +00:56:14,180 --> 00:56:17,580 +pairs are then removed by one of several different + +633 +00:56:17,580 --> 00:56:26,800 +enzymes وهذه بالتالي بتنتج تنتج لنا different DNA + +634 +00:56:26,800 --> 00:56:33,920 +أو تغييرات في ال DNA primarily in immunoglobulin V + +635 +00:56:33,920 --> 00:56:35,240 +region gene + +636 +00:56:40,970 --> 00:56:47,070 +يعني يبقى تشيل ستة دين في الموضوع طيب بهيك نكون + +637 +00:56:47,070 --> 00:56:53,270 +خلصنا اللي هو المخادرة أرجو أن تكونوا قد استمتعتم + +638 +00:56:53,270 --> 00:56:54,090 +بها + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0.srt new file mode 100644 index 0000000000000000000000000000000000000000..0684a073b5026c04af7732e4bc443f1caac800e2 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0.srt @@ -0,0 +1,2503 @@ +1 +00:00:00,610 --> 00:00:05,670 +الله الرحمن الرحيم حضرتنا اليوم عن tumor + +2 +00:00:05,670 --> 00:00:12,070 +immunology ومشارج + +3 +00:00:12,070 --> 00:00:17,990 +جهاز المناعة against tumor cell طبعا كلنا بنعرف ان + +4 +00:00:17,990 --> 00:00:27,770 +tumor cell has antigen on their surface وبالتالي + +5 +00:00:27,770 --> 00:00:36,130 +these antigens are foreign antigens وبالتالي + +6 +00:00:36,130 --> 00:00:43,430 +الجسم بيعتبرها as foreign cells ولابد من انه يشير + +7 +00:00:43,430 --> 00:00:54,770 +فيه تصدي لهذه الخلايا ال + +8 +00:00:54,770 --> 00:00:55,730 +tumor specific + +9 +00:00:58,510 --> 00:01:02,690 +transplantation antigen هي الانتجنات التي تظهر على + +10 +00:01:02,690 --> 00:01:07,830 +سطح خلايا tumor ووجدوها + +11 +00:01:07,830 --> 00:01:12,390 +in variety of animal species tumor specific + +12 +00:01:12,390 --> 00:01:17,830 +transplantation antigen لأنهم هيدخلوا على تعريفات هذه + +13 +00:01:17,830 --> 00:01:23,870 +الانتجنات tumor antigen ممكن تشترك مع ال tumor + +14 +00:01:23,870 --> 00:01:24,290 +cell + +15 +00:01:28,020 --> 00:01:33,300 +تشترك بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +16 +00:01:33,300 --> 00:01:35,480 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +17 +00:01:35,480 --> 00:01:35,880 +مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +18 +00:01:35,880 --> 00:01:39,600 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +19 +00:01:39,600 --> 00:01:43,560 +مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +20 +00:01:43,560 --> 00:01:44,340 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +21 +00:01:44,340 --> 00:01:50,080 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +22 +00:01:50,080 --> 00:01:55,800 +مختلف بشكل Demonstration of Tumor-Specific + +23 +00:01:55,800 --> 00:01:59,980 +Antigen of Chemically Induced Tumor أول ما اكتشفوا + +24 +00:01:59,980 --> 00:02:06,400 +ردة فعل جسم الملاعية في ال .. against tumor + +25 +00:02:06,400 --> 00:02:15,560 +antigen من خلال تجربة على ال mice التجربة كانت + +26 +00:02:15,560 --> 00:02:25,710 +كالآتي عملوا tumor في الـ mouse من خلال دهن ال + +27 +00:02:25,710 --> 00:02:32,450 +skin of the mouse by methyl chloranthrene وبالتالي + +28 +00:02:32,450 --> 00:02:38,730 +استكون ال tumor they excise the tumor وعملوا منه + +29 +00:02:38,730 --> 00:02:44,990 +tumor cell suspension وبعد هيك they inject the + +30 +00:02:44,990 --> 00:02:50,220 +prepared tumor cell into a new mouseأيضا تكونت + +31 +00:02:50,220 --> 00:02:57,060 +tumor , they excise the tumor و they challenge the + +32 +00:02:57,060 --> 00:03:02,660 +mouse with the same tumor وجدوا انه there is no + +33 +00:03:02,660 --> 00:03:03,760 +tumor growth + +34 +00:03:07,990 --> 00:03:11,330 +Injection of prepared tumor cell into a new + +35 +00:03:11,330 --> 00:03:17,910 +mouse Excise a growing tumor أيضًا Challenge with + +36 +00:03:17,910 --> 00:03:22,510 +different tumor cells With tumor cells نحو الـ + +37 +00:03:22,510 --> 00:03:30,630 +tumor will grow ببساطة خطوات التجربة كانت كالآتي + +38 +00:03:30,630 --> 00:03:36,070 +ذكرناها إنما نشرحها على صورة كالآتي هي عبارة عن + +39 +00:03:36,070 --> 00:03:40,500 +mouse with chemically carcinogenic induced tumor + +40 +00:03:40,500 --> 00:03:48,180 +دهانها ده هو ال skin by ash اللي هو carcinogenic + +41 +00:03:48,180 --> 00:03:53,940 +agent فتكون ال cancer أخدناها و عملنا منها tumors + +42 +00:03:53,940 --> 00:04:00,240 +cell suspension فطبعا + +43 +00:04:00,240 --> 00:04:08,550 +حقنها للفعل ماشي the same the same mouse حقنها + +44 +00:04:08,550 --> 00:04:17,410 +اله ثم رجعنا تاني وحطينا اله tumor cell وجدنا ان + +45 +00:04:17,410 --> 00:04:26,890 +ال tumor cell لم تنمو دليل على ان ال tumor cell + +46 +00:04:26,890 --> 00:04:31,490 +اللي دخلت تصدى لها جهاز المناعة وكون ال vector + +47 +00:04:31,490 --> 00:04:37,790 +cell عملنا ال tumor مرة تانية ال tumor has been + +48 +00:04:37,790 --> 00:04:44,210 +rejected the same cell هو tumors الحقنها for + +49 +00:04:44,210 --> 00:04:57,290 +syngeneic mice بس في هذه الحالة لما لما يعني عملنا + +50 +00:04:57,290 --> 00:05:04,330 +تكون ال tumor لكن لماذا؟ لأنه لم يرى الـ tumor من + +51 +00:05:04,330 --> 00:05:09,650 +قبل هذا الـ mouse لكن لو أخدنا الخلايا المناعية + +52 +00:05:09,650 --> 00:05:12,950 +التي تتكونت جهاز المناعة اشتغل وأخدنا الخلايا + +53 +00:05:12,950 --> 00:05:18,430 +المناعية التي تكونت عنده وحقنها في fire تاني من + +54 +00:05:18,430 --> 00:05:22,770 +خلال ده هو adoptively transfer T cell خدنا الخلايا + +55 +00:05:22,770 --> 00:05:24,790 +المناعية المتمثلة بالـ T cells + +56 +00:05:28,050 --> 00:05:31,230 +عملنا challenge يعني اعطينا .. كوننا tumor عنده + +57 +00:05:31,230 --> 00:05:35,490 +مرة تانية يعني نلاقي ان tumor has been eradicated + +58 +00:05:35,490 --> 00:05:41,810 +بمعنى لم تنمو هذه الخلايا يعني الفارق اللي عنده + +59 +00:05:41,810 --> 00:05:44,970 +tumor لما نخلناه بالاداء .. بال .. بال .. بال team + +60 +00:05:44,970 --> 00:05:51,170 +for science اللي اتكونت عنده ماشي فده هو على طول + +61 +00:05:51,170 --> 00:05:59,070 +صار في eradication الأمين لل tumor اللي موجود دليل + +62 +00:05:59,070 --> 00:06:03,650 +على ان في جهاز منها قاعد بيشتغل وانه في علاقة + +63 +00:06:03,650 --> 00:06:10,910 +مثبتة بين ال immune response و tumor cell tumor + +64 +00:06:10,910 --> 00:06:17,930 +immunology هدفها هو معرفة العلاقة ما بين ال host + +65 +00:06:17,930 --> 00:06:22,890 +and tumor أيضًا using the immune response to tumor + +66 +00:06:22,890 --> 00:06:29,050 +for diagnosis for prophylaxis and for therapy هو + +67 +00:06:29,050 --> 00:06:36,330 +الانتجين طبعا كيفية تكوينها بتتم خلال mutation + +68 +00:06:36,330 --> 00:06:42,550 +genetic activation clonal amplification + +69 +00:06:42,550 --> 00:06:48,910 +chromosomal deletion and translocation كلها عبارة + +70 +00:06:48,910 --> 00:06:53,730 +عن عمليات بتؤدي إلى mutation وبالتالي بتكوين ل + +71 +00:06:53,730 --> 00:06:57,550 +tumor antigen some tumor antigen are unique to + +72 +00:06:57,550 --> 00:07:02,510 +cancerous يعني فقط موجودة على خلايا السرطانية و + +73 +00:07:02,510 --> 00:07:09,110 +other هي مشابهة لـ tumor cell antigen يعني موجود + +74 +00:07:09,110 --> 00:07:16,270 +بتشبيه اللي هي ايش ال ال normal cell antigen لكنها + +75 +00:07:16,270 --> 00:07:22,170 +بتغطي الخلايا تغطية كاملة أو جزئية and these + +76 +00:07:22,170 --> 00:07:29,430 +either by more expression on cancer cells لكن صار + +77 +00:07:29,430 --> 00:07:32,710 +فيه expression زيادة عن اللازم لهذه الانتيجنات + +78 +00:07:32,710 --> 00:07:38,010 +على سطح الخلية السرطانية وامثلة على ذلك كثير منها + +79 +00:07:38,010 --> 00:07:41,470 +ال human epidermal growth factor الريسبتور اللي + +80 +00:07:41,470 --> 00:07:45,370 +بيزيد ال expression تبعه في ال ovarian and breast + +81 +00:07:45,370 --> 00:07:51,190 +cancer بعض ال tumor antigen are present on + +82 +00:07:51,190 --> 00:07:55,170 +embryonic cell لكنها مش موجودة على ال normal other + +83 +00:07:55,170 --> 00:08:01,190 +cells زي ال oncofetal antigen طمور الانتجين يمكن أن + +84 +00:08:01,190 --> 00:08:05,850 +يكون مصدر من الجينات المتوسطة أيضًا دليل على انه في + +85 +00:08:05,850 --> 00:08:10,610 +مواقع حرارة للتغيير وهناك + +86 +00:08:10,610 --> 00:08:11,710 +قليل من عملية عملية عملية عملية عملية عملية عملية + +87 +00:08:11,710 --> 00:08:12,030 +عملية عملية عملية عملية عملية عملية عملية عملية + +88 +00:08:12,030 --> 00:08:14,290 +عملية عملية عملية عملية عملية عملية عملية عملية + +89 +00:08:14,290 --> 00:08:14,990 +عملية عملية عملية عملية عملية عملية عملية عملية + +90 +00:08:14,990 --> 00:08:15,510 +عملية عملية عملية عملية عملية عملية عملية عملية + +91 +00:08:21,440 --> 00:08:24,420 +التي تسبب في تحويل ال tumor بشكل خاطئ مثل الـ + +92 +00:08:24,420 --> 00:08:30,680 +Ultraviolet والـ X-ray إشعاعية كارسينوجين يمكن أن + +93 +00:08:30,680 --> 00:08:35,840 +يسبب فيه تحويل كلوني كارسينوجين يعمل تحويل كلوني + +94 +00:08:35,840 --> 00:08:42,000 +لجينات فقط اللي بسبب تحويل جينات يمتلئ مصادر + +95 +00:08:42,000 --> 00:08:42,320 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +96 +00:08:42,320 --> 00:08:43,620 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +97 +00:08:43,620 --> 00:08:45,860 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +98 +00:08:45,860 --> 00:08:50,670 +مصادر مصادر مصادر مصادر مصادر مصادر بتؤدي إلى ايش + +99 +00:08:50,670 --> 00:08:57,930 +عملية clonal amplification لخلية ماشي ليش لأنه + +100 +00:08:57,930 --> 00:09:04,150 +الجينات اللي بتحتوي على تفرع واحدة ماشي هي اللي + +101 +00:09:04,150 --> 00:09:08,110 +عملت clonal amplification carcinogen مرة تانية + +102 +00:09:08,110 --> 00:09:14,550 +بيؤدي إلى mutation ماشي of genes وبالتالي هذه + +103 +00:09:14,550 --> 00:09:19,170 +الجينات التي تحمل بها بواسطة خلايا معينة تدّي + +104 +00:09:19,170 --> 00:09:22,870 +نقلولة ال amplification of the single cell + +105 +00:09:22,870 --> 00:09:28,450 +المتحسسة للميوتيشن tumor antigen are well + +106 +00:09:28,450 --> 00:09:33,330 +demonstrated by viruses كمان بعض الفيروسات virus + +107 +00:09:33,330 --> 00:09:39,570 +induced tumor بيسموهم oncogenic viruses وهذه بتؤدي + +108 +00:09:39,570 --> 00:09:44,910 +إلى طبعا أظهرت cross reactivity among tumors + +109 +00:09:44,910 --> 00:09:54,010 +induced by the same viruses الجدول التالي بيبين لنا + +110 +00:09:54,010 --> 00:09:59,440 +أنواع tumor antigen زي ما أنتم شايفين في embryonic + +111 +00:09:59,440 --> 00:10:04,000 +قلنا تظهر الـ oncofetal antigen زي ال melanoma + +112 +00:10:04,000 --> 00:10:11,960 +associated gene اللي هو رقم واحد واتنين زي ال + +113 +00:10:11,960 --> 00:10:14,820 +carcinogenic embryonic antigen زي ال alpha + +114 +00:10:14,820 --> 00:10:20,730 +-fetoprotein كلها عبارة عن اللي هو انتيجنات بتظهر + +115 +00:10:20,730 --> 00:10:25,290 +على overexpressed المفروض أنها بتظهر على ال + +116 +00:10:25,290 --> 00:10:27,930 +embryonic life لكنها بتظهر على ال tumor cell + +117 +00:10:27,930 --> 00:10:35,270 +differentiation زي prostate specific antigen و + +118 +00:10:35,270 --> 00:10:41,830 +التيرونيزين و ال human epidermal growth factor + +119 +00:10:41,830 --> 00:10:47,710 +ماشي ويوجد antigenات زي ال always هناك الـ + +120 +00:10:47,710 --> 00:10:50,290 +Clonal Amplification وهناك الـ Point Mutation، + +121 +00:10:50,290 --> 00:10:54,550 +تركزوا فيهم واحد واحد Normal Cellular Gene + +122 +00:10:54,550 --> 00:11:00,290 +Products Expressed During Embryogenesis هذا أول + +123 +00:11:00,290 --> 00:11:03,710 +واحد اللي قلنا اللي هو الـ Oncofetal Antigen زي + +124 +00:11:03,710 --> 00:11:06,830 +الـ Melanoma Associated Antigen + +125 +00:11:10,100 --> 00:11:15,100 +وطبعا هذه عبارة عن انتيجنات ممكن نشتغلها نستخدمها + +126 +00:11:15,100 --> 00:11:19,820 +ك vaccine لأنه their expression is shared يعني + +127 +00:11:19,820 --> 00:11:28,060 +بتشترك كل الميلانومة بوجود هذه الانتيجينات فاحنا + +128 +00:11:28,060 --> 00:11:31,920 +عشان نشتغل جهاز المناعة ممكن ناخدها وطبعا نحقنها + +129 +00:11:31,920 --> 00:11:37,720 +كانتيجينات بالتالي بعد طبعا ما نعملها + +130 +00:11:38,900 --> 00:11:43,320 +Inactivation وبالتالي بنشر جهاز المناعة من خلاله + +131 +00:11:43,320 --> 00:11:48,860 +Carcinoembryonic antigen CEA طبعا + +132 +00:11:48,860 --> 00:11:54,420 +وجدوه يعني هذا عبارة عن protein غالبا found in + +133 +00:11:54,420 --> 00:12:00,800 +serum of patients with cancer of GIT زي ال colon + +134 +00:12:00,800 --> 00:12:10,650 +cancer وزيادة ال level of CEA وجدوها في الأمراض + +135 +00:12:10,650 --> 00:12:14,630 +أخرى غير اللي هو ال colon cancer اللي هي non + +136 +00:12:14,630 --> 00:12:18,970 +specific or non-neoplastic diseases زي ال + +137 +00:12:18,970 --> 00:12:24,190 +ulcerative colitis و ال pancreatitis الناس دولة + +138 +00:12:24,190 --> 00:12:29,750 +they don't have cancer وبالتالي this test is non + +139 +00:12:29,750 --> 00:12:36,000 +specific ألفا فيتو بروتين هذا normally present at + +140 +00:12:36,000 --> 00:12:40,580 +high concentration في الـ fetal maternal serum و + +141 +00:12:40,580 --> 00:12:47,220 +it's absent في ال normal adult individual لكنه + +142 +00:12:47,220 --> 00:12:53,340 +موجود في الناس اللي عندهم hepatoma and testicular + +143 +00:12:53,340 --> 00:12:56,340 +teratocarcinoma + +144 +00:12:59,290 --> 00:13:04,150 +الثاني هو الـ Mutant Cellular Gene Product ناتج عن + +145 +00:13:04,150 --> 00:13:09,370 +ميوتيشن جين صار له ميوتيشن وفي أمثلة كثيرة على ذلك + +146 +00:13:09,370 --> 00:13:15,110 +منها في الـCML التايروسين كاينيز activity بتزيد + +147 +00:13:15,110 --> 00:13:20,510 +وبالتالي بيصير فيه اللي هو uncontrolled cellular + +148 +00:13:20,510 --> 00:13:25,650 +proliferation ولو استخدمنا inhibitor للجين تبع ال + +149 +00:13:25,650 --> 00:13:33,490 +PCR APL الجين الكايمريكي اللي بيتكون في الـCML أو + +150 +00:13:33,490 --> 00:13:39,150 +ما يسمى بالفيلاديلفيا كروموسوم اتشون + +151 +00:13:39,150 --> 00:13:43,270 +أي promise for inducing a complete hematological + +152 +00:13:43,270 --> 00:13:49,150 +response لو في نجاح تم باستخدام الـinhibitor في + +153 +00:13:49,150 --> 00:13:57,770 +عملية كبح جماح اللي هو الـCML disease طبعا واليوم + +154 +00:13:57,770 --> 00:14:03,750 +بيعتبروها targeting therapy اليوم يعني أظهر نجاحات + +155 +00:14:03,750 --> 00:14:08,910 +كثيرة ومرضى سيأمال استغنوا غالبا عن ال + +156 +00:14:08,910 --> 00:14:13,930 +chemotherapy المثال + +157 +00:14:13,930 --> 00:14:19,610 +الآخر عن mutant cellular gene هو ال mutation اللي + +158 +00:14:19,610 --> 00:14:25,050 +بتصير في ال P53 protein طبعا ال P53 mutation + +159 +00:14:29,510 --> 00:14:35,210 +بتظهر بتظهر ان it changes in p53 يعني النتيجة + +160 +00:14:35,210 --> 00:14:42,770 +changes in p53 و ال protein اللي بيتكون غالبا + +161 +00:14:42,770 --> 00:14:47,170 +بيشتغل as a suppressor of cellular growth هذا في + +162 +00:14:47,170 --> 00:14:55,510 +الوضع الطبيعي ان ال P53 code for protein بيعمل + +163 +00:14:55,510 --> 00:15:03,870 +stopping للـ cell cycle at certain stage + +164 +00:15:03,870 --> 00:15:08,650 +يوم يصير فيه خلل بيوقف يوم يصير فيه ميوتيشن بيطلع + +165 +00:15:08,650 --> 00:15:12,730 +لنا بروتين أصلا فيه ميوتيشن اللي ممكن يعمل يشتغل + +166 +00:15:12,730 --> 00:15:20,670 +السبرس والسليجراث tumor immunity in vivo can be + +167 +00:15:20,670 --> 00:15:25,710 +induced by vaccination against mutant p53 peptide + +168 +00:15:25,710 --> 00:15:35,450 +لو أعطوا ال p53 peptide مع ال IL-12 بيعتبر هذا ك + +169 +00:15:35,450 --> 00:15:36,190 +vaccine + +170 +00:15:39,970 --> 00:15:43,250 +ووجدوا ان الـ T lymphocyte directed against normal + +171 +00:15:43,250 --> 00:15:47,090 +p53 might preferentially destroy a tumor cell طبعا + +172 +00:15:47,090 --> 00:15:49,970 +هذا الكلام بنشهد ال T lymphocyte وT lymphocyte + +173 +00:15:49,970 --> 00:15:53,610 +بتهاجم ال tumor cell هو بالتالي ممكن يستخدم ك + +174 +00:15:53,610 --> 00:16:01,770 +vaccine هو و IL-12 مع بعض من حقنه مع بعض تلاتة + +175 +00:16:01,770 --> 00:16:05,310 +tumor antigen encoded by oncogene طبعا كلنا بنعرف + +176 +00:16:05,310 --> 00:16:08,830 +ان ال oncogene هو عبارة عن + +177 +00:16:13,680 --> 00:16:19,240 +وبالتالي جاي بعد ما صار فيه mutation في ال normal + +178 +00:16:19,240 --> 00:16:23,020 +gene و ال normal gene بيسموه proto-oncogene اللي + +179 +00:16:23,020 --> 00:16:28,160 +يوم ما يتحول ل proto-oncogene لـ C-oncogen + +180 +00:16:30,930 --> 00:16:35,950 +بيتكون اللي هو as a mutation طبعا as a result of + +181 +00:16:35,950 --> 00:16:42,990 +mutation بيصير فيه اللي هو tumor وطبعا فيه سجلة + +182 +00:16:42,990 --> 00:16:48,050 +حالات كثيرة من خلال علاقة ال tumor او ال viruses + +183 +00:16:48,050 --> 00:16:51,890 +بالأش بال + +184 +00:16:55,500 --> 00:17:02,580 +أي هدا هي نظرية الانكوجين تقترح أو postulate that + +185 +00:17:02,580 --> 00:17:06,780 +such proto-oncogene يوم بسله mutation or activation + +186 +00:17:06,780 --> 00:17:10,300 +display increased expression or inappropriate + +187 +00:17:10,300 --> 00:17:14,440 +expression بسله increased او inappropriate + +188 +00:17:14,440 --> 00:17:18,500 +expression للـ mutated form of their gene a + +189 +00:17:18,500 --> 00:17:22,480 +product وبالتالي بيساهم كثير في تحويل الخلايا + +190 +00:17:22,480 --> 00:17:28,100 +الطبيعية الى خلايا سرطانية واللي بيتكون cancer + +191 +00:17:28,100 --> 00:17:31,680 +طبعا عملية ال mutation بتتم من خلال ال chromosomal + +192 +00:17:31,680 --> 00:17:34,640 +translocation point mutation gene amplification + +193 +00:17:34,640 --> 00:17:43,250 +وهكذا وهذه حالات كثيرة ماشي صار فيها activation لـ + +194 +00:17:43,250 --> 00:17:48,130 +cellular proto-oncogene in a human أي CMEC صار له + +195 +00:17:48,130 --> 00:17:56,170 +Genetic Rearrangement وتغيرت صار فيه + +196 +00:17:56,170 --> 00:17:59,410 +Translocation ما بين كروموسومات تمانية وأربع عشرة أو + +197 +00:17:59,410 --> 00:18:02,190 +ثمانية واثنين أو ثمانية واثنين وعشرين وعملوا + +198 +00:18:02,190 --> 00:18:08,860 +حاجة بيسموها Perkins lymphoma APL أيضًا صرله + +199 +00:18:08,860 --> 00:18:12,920 +Genetic Transformation أو Rearrangement من خلال + +200 +00:18:12,920 --> 00:18:17,940 +Translocation ما بين كروموسوم 9 و22 وعمل CML وكذا + +201 +00:18:17,940 --> 00:18:24,800 +CH رأس CK رأس مجموعة الرأس والأنمك برضه كلهم + +202 +00:18:24,800 --> 00:18:30,000 +بيكونوا different types of tumor مثلًا + +203 +00:18:30,000 --> 00:18:35,080 +البروتوانكوجين هذه هي يوم ما صار في activation لـ C + +204 +00:18:35,080 --> 00:18:43,020 +-Myc C-A-B-L C-K كيرهز امتزيست جينز are associated + +205 +00:18:43,020 --> 00:18:47,680 +with Perkins lymphoma سيوم الانلانكول اوركولون + +206 +00:18:47,680 --> 00:18:55,700 +كارسينوما بالترتيب الدراسات على الحيوان أيضًا أظهرت + +207 +00:18:55,700 --> 00:19:04,150 +أن أن في علاقة مباشرة ما بين الانكوجينيك ويروس وما + +208 +00:19:04,150 --> 00:19:11,090 +بين cross reactivity وطبعا أمر طبيعي جدا لأن ال + +209 +00:19:11,090 --> 00:19:17,710 +virus الانكوجينيك ويروس يعني بيعمل expression of + +210 +00:19:17,710 --> 00:19:24,190 +ال antigenاته على ال tumor cell بغض النظر على موقع + +211 +00:19:24,190 --> 00:19:28,830 +الخلايا اللي صار اللي لها tumor أو نوع ال animal + +212 +00:19:28,830 --> 00:19:35,240 +species وزي ما قلنا لكم في دلائل أو في سجلة حالات + +213 +00:19:35,240 --> 00:19:41,600 +كثيرة مثبتة على علاقة اللي هو ال viruses بال tumor + +214 +00:19:41,600 --> 00:19:47,200 +زي ال Epstein-Barr Virus بيعمل اللي هو ال human + +215 +00:19:47,200 --> 00:19:51,520 +T cell leukemia virus و ال human papilloma virus + +216 +00:19:51,520 --> 00:19:54,820 +الأولاني بيعمل Perkins والثاني بيعمل leukemia + +217 +00:19:54,820 --> 00:19:57,840 +والثالث بيعمل cervical tumor + +218 +00:20:01,280 --> 00:20:06,980 +ما هي العوامل التي تؤثر في ال incidence of cancer + +219 +00:20:06,980 --> 00:20:15,520 +قالوا في مصطلح اسمه ال immune ال immune + +220 +00:20:15,520 --> 00:20:20,270 +surveillance والمصطلح هذا يعني إنه فيه + +221 +00:20:20,270 --> 00:20:22,990 +immunological resistance against the development + +222 +00:20:22,990 --> 00:20:32,150 +of cancer الجسم يتصدى إلى ال tumor من خلال جهاز + +223 +00:20:32,150 --> 00:20:37,490 +المانعة ومن الناس اللي ما عندهمش مانعة عندهم + +224 +00:20:37,490 --> 00:20:40,590 +immunodeficiency disease usually are susceptible + +225 +00:20:40,590 --> 00:20:45,070 +to viral infection and certain malignant neoplasm + +226 +00:20:52,140 --> 00:20:59,480 +طبعا ال tumor cell اللي بتتكون خلال virus are + +227 +00:20:59,480 --> 00:21:04,420 +sensitive to immunologic destruction ومع ذلك ال + +228 +00:21:04,420 --> 00:21:07,400 +natural development of immunological response + +229 +00:21:07,400 --> 00:21:10,600 +usually fail to prevent cancer from developing + +230 +00:21:10,600 --> 00:21:16,060 +يعني صحيح جهاز المناعة بيشتغل لكن ومع ذلك السرطان + +231 +00:21:16,060 --> 00:21:25,020 +أو ال tumor cell بتنجح فيه في إنها تنمو وتتطور يعني + +232 +00:21:25,020 --> 00:21:31,320 +بنأمل في المستقبل أن يكون فيه good + +233 +00:21:31,320 --> 00:21:36,720 +response example by vaccination with tumor antigen + +234 +00:21:36,720 --> 00:21:41,280 +that will serve as viable option for prevention or + +235 +00:21:41,280 --> 00:21:47,490 +treatment of cancer in the future Effect of + +236 +00:21:47,490 --> 00:21:50,770 +Mechanism in Tumor Immunology ما هي الميكانيزمات + +237 +00:21:50,770 --> 00:21:55,690 +وجدوا أنه both Adaptive و Innate Immune Response + +238 +00:21:55,690 --> 00:22:01,970 +بيلعبوا دور كبير وفي العلاقة ما بين ال host و ال + +239 +00:22:01,970 --> 00:22:08,290 +tumor Immune Effect of Mechanism وجدت وجدوها ان it + +240 +00:22:08,290 --> 00:22:13,760 +can destroy tumor cell in vitro بالتجربة تتمثل في + +241 +00:22:13,760 --> 00:22:18,280 +الـ Antibody في الـ B-cell، الـ NK-cell، الـ Lact + +242 +00:22:18,280 --> 00:22:22,240 +-cell، الـ Macrophage، الـ Cytokine كلها أبارع عن + +243 +00:22:22,240 --> 00:22:27,660 +ميكانيزمات أثبتت in vitro بإنها بتدمر الخلايا + +244 +00:22:27,660 --> 00:22:33,860 +السرطانية وهي الـ Antibody و الـ B-cell على سبيل + +245 +00:22:33,860 --> 00:22:36,820 +المثال في وجود كومبليمنت بتكون Antibody في وجود + +246 +00:22:36,820 --> 00:22:43,040 +كومبليمنت منتجات أو Opsonization الآن ميكانيزم مفهوم + +247 +00:22:43,040 --> 00:22:46,980 +بشكل كامل تسل + +248 +00:22:46,980 --> 00:22:49,460 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +249 +00:22:49,460 --> 00:22:53,260 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +250 +00:22:53,260 --> 00:22:58,100 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +251 +00:22:58,100 --> 00:23:01,720 +تسل تسل تسل تسل تسل تسل تسل + +252 +00:23:01,720 --> 00:23:05,360 +تسل + +253 +00:23:07,310 --> 00:23:14,930 +ووجدوها كثيرة قوية على الخلايا الـ dispersed اللي + +254 +00:23:14,930 --> 00:23:21,030 +هي المنفصلة على ال cell suspension ووجدوا فعاليتها + +255 +00:23:21,030 --> 00:23:26,890 +أكثر بكثير على هذه الخلايا المنفصلة أكثر من ال + +256 +00:23:26,890 --> 00:23:31,250 +solid tumor اللي هو بيكون متماسك ليش؟ لأن جهاز + +257 +00:23:31,250 --> 00:23:33,850 +المناعة يستطيع أن يصل إلى هذه الخلايا + +258 +00:23:37,530 --> 00:23:43,770 +من الـ Solid Tumour Cells نشوف أول ميكانيزم اللي + +259 +00:23:43,770 --> 00:23:49,890 +هو PCR Response لـ Tumour وجدوا أن IgPo, IgM و IgG + +260 +00:23:49,890 --> 00:23:55,690 +Antibody وجدوها in vitro can kill or destroy the + +261 +00:23:55,690 --> 00:24:00,450 +tumour cell طبعا في وجود ال complement طبعا هذا + +262 +00:24:00,450 --> 00:24:07,370 +الكلام أثبتناه بالتجربة in vitro، الدراسات على + +263 +00:24:07,370 --> 00:24:15,830 +المايس أيضا أثبتت Indicate بتؤشر أو بتدل على أن ال + +264 +00:24:15,830 --> 00:24:19,350 +Antitumor Antibody are effective in destroying + +265 +00:24:19,350 --> 00:24:25,250 +some leukemia and lymphoma وطبعا بتقلل من ال + +266 +00:24:25,250 --> 00:24:31,710 +metastasis in several other tumors system، تنسوش + +267 +00:24:31,710 --> 00:24:37,780 +أن احنا هنحكي على تجارب حدثت in vitro وليس in vivo + +268 +00:24:37,780 --> 00:24:43,860 +آخر حدث طبعا أثبتت أن هذه الانتيبادي لا تأثير لها + +269 +00:24:43,860 --> 00:24:50,500 +ولا بتقتل خلايا سرطانية ماشي إذا كان ال tumor in + +270 +00:24:50,500 --> 00:24:55,820 +solid form يوم ما يكون ال tumor in solid form، بيكاز + +271 +00:24:55,820 --> 00:24:58,760 +ثاني destruction of tumor cell by opsonization of + +272 +00:24:58,760 --> 00:25:02,320 +phagocytosis كلنا بنعرف أنه الخلية الغريبة بقى + +273 +00:25:02,320 --> 00:25:05,960 +تكون لها antibody و بقعد على سطح الخلايا مرات و + +274 +00:25:05,960 --> 00:25:11,240 +بيصير كون و بيعمل opsonization لهذه الخلية طبعا + +275 +00:25:11,240 --> 00:25:15,240 +تتعرف عليها ال phagocytic cell و بتخلصنا منها، In + +276 +00:25:15,240 --> 00:25:23,980 +vitro destruction of tumor cell بواسطة Trigocytic + +277 +00:25:23,980 --> 00:25:28,780 +cell أصلا قتل + +278 +00:25:28,780 --> 00:25:32,900 +أو عمل destruction لل tumor cell في وجود ال ant + +279 +00:25:32,900 --> 00:25:39,360 +tumor اللي هو immune serum and complement، ميكانيزم + +280 +00:25:39,360 --> 00:25:43,220 +ثالث Antibody-mediated loss of adhesion properties + +281 +00:25:43,220 --> 00:25:52,080 +of tumor cell، الـ Adhesion Molecule لازم تتحلل + +282 +00:25:52,080 --> 00:25:56,540 +عشان يصير فيه متاستاسيس + +283 +00:25:56,540 --> 00:26:01,300 +متاستاسيس اكتفية مختلفة عن مخلوق مخلوق مخلوق مخلوق + +284 +00:26:01,300 --> 00:26:06,240 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +285 +00:26:10,100 --> 00:26:15,140 +عشان ترتبط بخلايا أو بانسجة أخرى موجودة في أماكن + +286 +00:26:15,140 --> 00:26:19,300 +أخرى وبالتالي بيحصل فيه metastasis، ال antibody + +287 +00:26:19,300 --> 00:26:24,220 +الموجهة ضد هذه الـ tumor cell surfaces can + +288 +00:26:24,220 --> 00:26:28,080 +interfere with the adhesive properties وهذا الكلام + +289 +00:26:28,080 --> 00:26:33,200 +أيضا done in vitro cell mediated responses + +290 +00:26:33,200 --> 00:26:38,100 +destruction by cytotoxic T lymphocytes أيضا + +291 +00:26:38,100 --> 00:26:44,150 +أثبتناها in vitro، هي مسؤولة عن هذه الخلايا ومسؤولة + +292 +00:26:44,150 --> 00:26:52,830 +عن إدارة تمر سل بوريا في الواقع، طبعا الـ Antibody + +293 +00:26:52,830 --> 00:26:55,890 +Dependent Cell Mediated Cytotoxicity دي عبارة عن + +294 +00:26:55,890 --> 00:27:01,870 +ميكانيزم بتمن خلال ارتباط ال .. ال .. ال .. ال .. + +295 +00:27:01,870 --> 00:27:06,090 +Phagocytic Cell بال Fc Portion of Antibody اللي + +296 +00:27:06,090 --> 00:27:09,670 +جالس على سطح الخلية السرطانية، بالتالي بيصير في + +297 +00:27:09,670 --> 00:27:14,510 +cell to cell contact و بيصير في releasing ل ال + +298 +00:27:14,510 --> 00:27:20,050 +substance which can kill the tumor cell، استركشن of + +299 +00:27:20,050 --> 00:27:31,790 +tumors by NK or NKT or لأكسل التلاتة ماشي، لا علاقة + +300 +00:27:31,790 --> 00:27:35,650 +طبعا كنا بنعرف أنه خلاص أن الانكسل تتحسس اللي هو + +301 +00:27:38,140 --> 00:27:42,000 +موليكيول على سطح الخلايا تيومر سيل غالبا تعمل + +302 +00:27:42,000 --> 00:27:46,620 +shading تعمل masking ل اللي هو ال MSC موليكيول + +303 +00:27:46,620 --> 00:27:52,520 +وبالتالي تتعرف عليها اللي هو الانكسل، أيضا الانكسل + +304 +00:27:52,520 --> 00:27:56,960 +have receptor لل FC portion of IGG وبالتالي من + +305 +00:27:56,960 --> 00:28:04,500 +خلال ADCC ممكن تتخلص من ال tumor cell، بمجرد ما + +306 +00:28:04,500 --> 00:28:07,680 +ترتبط بتفرز ال tumor لإن كي cell tumor necrosis + +307 +00:28:07,680 --> 00:28:13,120 +factor α و اللي بيعملهم ورجو tumor necrosis ال lag + +308 +00:28:13,120 --> 00:28:18,820 +أيضا هي عبارة عن tumor specific killer cells و + +309 +00:28:18,820 --> 00:28:22,660 +ممكن نستنبطها أو ناخدها من بعض المرضى اللي عندهم + +310 +00:28:22,660 --> 00:28:29,400 +tumor، بنميها برا في وجود IL-2 ونرجعها ثاني للمريض + +311 +00:28:29,400 --> 00:28:36,920 +نفسه، هدولة بنشطه اللي هو الـ mechanism اللي بنحكي + +312 +00:28:36,920 --> 00:28:40,580 +عنه سواء كان ADCC او Direct Killing By Ankyl Cell + +313 +00:28:40,580 --> 00:28:43,600 +Destruction + +314 +00:28:43,600 --> 00:28:46,300 +of tumor cell by activated macrophage and + +315 +00:28:46,300 --> 00:28:50,800 +neutrophil، طبعا كلنا بنعرف أن ال macrophage بتتنشط + +316 +00:28:51,320 --> 00:28:57,540 +by releasing gamma interferon، التشتت من خلال TCD4 + +317 +00:28:57,540 --> 00:29:08,620 +lymphocytes، وطبعا ال gamma interferon له tumor + +318 +00:29:08,620 --> 00:29:15,280 +specific، بيستخدم + +319 +00:29:15,280 --> 00:29:16,480 +ك cytotoxic + +320 +00:29:20,430 --> 00:29:26,630 +Cytokine against tumor cell، أيضا بإطلاق لازوزايم + +321 +00:29:26,630 --> 00:29:30,730 +ونكروس فاكتوره الفا بيقتلوا tumor cell + +322 +00:29:35,370 --> 00:29:38,730 +أما تعمل Inhibition أو تعمل Growth لـPremarignant + +323 +00:29:38,730 --> 00:29:44,050 +وTumorignant Cell، طبعاً نعرف أنه فيه Cytokine + +324 +00:29:44,050 --> 00:29:47,650 +Inhibitor وCytokine وفيه Stimulatory Transformed + +325 +00:29:47,650 --> 00:29:51,350 +Growth Factor Beta، واحد من الـCytokine اللي بيعمل + +326 +00:29:51,350 --> 00:29:56,990 +Inhibition لل immune response وبالتالي بيصير فيه + +327 +00:29:56,990 --> 00:30:04,460 +promotion لل tumor growth في هذه الحالة و بيالو + +328 +00:30:04,460 --> 00:30:08,980 +انجيوجينيك بمعنى + +329 +00:30:08,980 --> 00:30:16,720 +أنه بيسهل في عملية نمو الكانسر من خلال اللي هو + +330 +00:30:16,720 --> 00:30:23,120 +تكوين الانجيوجينيسي اللي هو blood vessels to the + +331 +00:30:23,120 --> 00:30:25,360 +tumor cell + +332 +00:30:27,510 --> 00:30:32,910 +Tumor Microsfactory و Interferon جعما أيضا لهم + +333 +00:30:32,910 --> 00:30:37,770 +Anti-Tumor Effect ليش؟ لأنهم بيعملوا Upregulation + +334 +00:30:37,770 --> 00:30:44,190 +لل MSC Class 1 و2 وبالتالي جهاز المناعة يتعرف عليهم + +335 +00:30:44,190 --> 00:30:48,590 +بسهولة، يوم ما يحصل فيه Decrease expression للMSC + +336 +00:30:48,590 --> 00:30:54,770 +Determinants على سطح ال tumor cell بيكون وسيلة من + +337 +00:30:54,770 --> 00:30:59,450 +وسائل تهرب الخلية السرطانية from the action of + +338 +00:30:59,450 --> 00:31:05,450 +cytokine transfection + +339 +00:31:05,450 --> 00:31:12,470 +of tumor cell with genes coding for cytokine زي IL + +340 +00:31:12,470 --> 00:31:21,430 +-117 وقام انترفيرون ماشي، وبعد ذلك رجعهم ماشي + +341 +00:31:21,430 --> 00:31:22,290 +للمريض + +342 +00:31:25,210 --> 00:31:32,150 +أولى ال tumor-pairing mice أظهرت نتائج جيدة في + +343 +00:31:32,150 --> 00:31:38,150 +الـ inhibition of growth of tumor، طيب، + +344 +00:31:38,150 --> 00:31:43,430 +إيش الـ limitation of effectiveness of immune + +345 +00:31:43,430 --> 00:31:47,090 +response against tumor؟ كلنا بنعرف أنه مع وجود + +346 +00:31:47,090 --> 00:31:54,710 +immune response لأن tumor cell أو tumor can grow، و + +347 +00:31:54,710 --> 00:32:02,310 +بيتغلب على الجهاز المناعي، ليش نشوف أيوة there is no + +348 +00:32:02,310 --> 00:32:05,430 +question أن في وجود ال immune response، ال immune + +349 +00:32:05,430 --> 00:32:13,050 +response بيكون شغال في وجود ال tumor لكن بالرغم + +350 +00:32:13,050 --> 00:32:20,350 +من ذلك ال tumor continue to grow، وطبعا درسوا عدة + +351 +00:32:20,350 --> 00:32:21,330 +ميكانيزمات + +352 +00:32:23,960 --> 00:32:35,180 +طبعا هذه بتتعلق بال tumor cell أو ب tumor and host + +353 +00:32:35,180 --> 00:32:38,380 +relationship + +354 +00:32:38,380 --> 00:32:44,360 +نشوف الميكانيزمات اللي بتتعلق بال tumor، يقول إن من + +355 +00:32:44,360 --> 00:32:47,540 +واحد failure of tumor to provide suitable target + +356 +00:32:47,540 --> 00:32:52,040 +يعني كيف تتعرف يتعرف عليها جهاز المناعة، بده يكون + +357 +00:32:52,040 --> 00:32:56,060 +فيه target، بده يكون فيه antigen، نشوف الوسائل التي + +358 +00:32:56,060 --> 00:33:01,640 +تتهرب من خلالها ال tumor cell from the immune + +359 +00:33:01,640 --> 00:33:06,020 +response، يقول إن من واحد، تاكوب antigen كيبته بتطيع + +360 +00:33:06,020 --> 00:33:10,050 +كل ال antigenات اللي على سطحها وبالتالي كل ال tumor + +361 +00:33:10,050 --> 00:33:13,550 +انتيجين مش موجودة، فكيبري اتعرف عليها جزء منها، نمر + +362 +00:33:13,550 --> 00:33:16,770 +اتنين lack of a C class one molecule، طب ما هو دي + +363 +00:33:16,770 --> 00:33:21,970 +عبارة عن presenting molecule للانتيجين، deficient + +364 +00:33:21,970 --> 00:33:25,510 +of antigen processing، أصلا مافيش انتيجين عشان + +365 +00:33:25,510 --> 00:33:29,770 +نعمله processing، antigenic modulation بيغير الجهاز + +366 +00:33:29,770 --> 00:33:36,270 +الخلية السرطانية في الانتيجين باستمرار، فبالتالي + +367 +00:33:36,270 --> 00:33:41,000 +بيصير في ايه؟ خلل في التعرف عليه، antigenic masking + +368 +00:33:41,000 --> 00:33:46,740 +of the tumor، يوم يغطي الانتيجين كورونا الخلية + +369 +00:33:46,740 --> 00:33:51,420 +السرطانية برضه لاتستطيع أن تتعرف عليها، resistance + +370 +00:33:51,420 --> 00:33:55,260 +of tumor cell to tumor seedal effector pathway، بعد + +371 +00:33:55,260 --> 00:34:01,540 +الخلية السرطانية بتقاوم any اللي هو tumor seedal + +372 +00:34:01,540 --> 00:34:02,620 +effector pathway + +373 +00:34:05,230 --> 00:34:10,050 +فالنوع الثاني أو العامل الثاني failure of tumor to + +374 +00:34:10,050 --> 00:34:18,910 +induce ineffective immune response، طبعا زي ما + +375 +00:34:18,910 --> 00:34:29,170 +قلنا بيصير فيه فشل في اللي هو تكوين ال immune + +376 +00:34:29,170 --> 00:34:29,890 +response + +377 +00:34:32,510 --> 00:34:36,530 +وطبعا وجود الـ tumor يعني أنه لازم يصير فيه + +378 +00:34:36,530 --> 00:34:40,450 +response بعض المرات بيفشل الـ tumor في تحقيق هذه + +379 +00:34:40,450 --> 00:34:43,930 +الظاهرة بسبب في ذلك lack of antigenic epitopes + +380 +00:34:43,930 --> 00:34:48,770 +مافيش epitopes نمرة اثنين decrease MSC or tumor + +381 +00:34:48,770 --> 00:34:52,970 +antigen expression نمرة ثلاثة مافيش costimulatory + +382 +00:34:52,970 --> 00:34:56,570 +signal نمرة أربعة production of inhibitory + +383 +00:34:56,570 --> 00:35:02,390 +substance هي بعض الصيتركاين اللي هنشوفها نمرة خمسة + +384 +00:35:02,390 --> 00:35:07,230 +shedding of tumor antigen in the surrounding area + +385 +00:35:07,230 --> 00:35:10,690 +أو in the blood وبالتالي بيصير في tolerance للـ + +386 +00:35:10,690 --> 00:35:18,250 +antigen في الجسم نمرة ستة اللي هو induction of T + +387 +00:35:18,250 --> 00:35:24,550 +cell signaling defect by tumor burden مافيش cell + +388 +00:35:24,550 --> 00:35:32,170 +signal طيب هذا ما يتعلق بالـ tumor نشوف ما يتعلق بإيش + +389 +00:35:32,170 --> 00:35:35,050 +بالـ host + +390 +00:35:46,230 --> 00:35:50,450 +failure of the host to respond to antigenic tumor + +391 +00:35:50,450 --> 00:35:54,430 +قالوا بعد مرات بيكون فيه neuro suppression or + +392 +00:35:54,430 --> 00:36:01,530 +deficiency of the host بإشي بتشمل apoptosis و + +393 +00:36:01,530 --> 00:36:05,810 +signaling defect of the T cell والسبب في ذلك وجود + +394 +00:36:05,810 --> 00:36:08,470 +carcinogenic agent وإن كان physical or chemical + +395 +00:36:08,470 --> 00:36:15,410 +agent or infection or even age آه يعني الناس + +396 +00:36:15,410 --> 00:36:19,030 +الاختيارية كمان ممكن ما نشوف نمرة اثنين deficient + +397 +00:36:19,030 --> 00:36:22,170 +presentation of tumor antigen مافي by the host + +398 +00:36:22,170 --> 00:36:24,530 +antigen presenting cell ما قدرت الـ antigen + +399 +00:36:24,530 --> 00:36:28,430 +presenting cell اللي هو تعمل antigen presentation + +400 +00:36:28,430 --> 00:36:33,070 +للـ tumor antigen النمرة ثلاثة failure of host + +401 +00:36:33,070 --> 00:36:37,970 +effector to reach tumor بعض المرات بيكون الـ tumor + +402 +00:36:37,970 --> 00:36:41,790 +متخبي في أماكن لا يستطيع أن تصل إليها جهاز المناعة + +403 +00:36:41,790 --> 00:36:47,640 +زي الـ stromer carrier مرة خمسة host failure of host + +404 +00:36:47,640 --> 00:36:54,420 +to kill variant tumor cell because of dominant + +405 +00:36:54,420 --> 00:36:58,760 +immunodominant antigen on parental tumor cell طبعا + +406 +00:36:58,760 --> 00:37:05,100 +بيكون الـ antigen في هذه الحالة dominant + +407 +00:37:05,100 --> 00:37:15,530 +antigen على الـ parental اللي هو tumor cell + +408 +00:37:15,530 --> 00:37:22,610 +immunodiagnosis + +409 +00:37:22,610 --> 00:37:27,750 +ليش بدنا نعمل immunodiagnosis قالوا له هدفين نمرا + +410 +00:37:27,750 --> 00:37:31,090 +واحد to detect antigen specific to tumor and cell + +411 +00:37:31,090 --> 00:37:37,670 +نمرا اثنين لتقييم + +412 +00:37:37,670 --> 00:37:42,000 +lost immune response to the tumor طبعا الـ tumor + +413 +00:37:42,000 --> 00:37:46,220 +cell بي express cytoplasmic أو cell surface أو + +414 +00:37:46,220 --> 00:37:50,100 +secreted product that are different in nature and + +415 +00:37:50,100 --> 00:37:53,340 +or quantity from those produced by their normal + +416 +00:37:53,340 --> 00:37:56,800 +counterpart طبيعي جدا tumor cell حتى تفرز هذه + +417 +00:37:56,800 --> 00:37:59,720 +الحاجات سواء كانت cytoplasmic أو على الـ cell + +418 +00:37:59,720 --> 00:38:05,040 +surface أو في secreted product بتختلف اختلاف كله + +419 +00:38:05,040 --> 00:38:11,510 +عن الـ normal counterpart بسبب عدد الانتجينيات + +420 +00:38:11,510 --> 00:38:13,850 +الصحيحة للمرق الصحيح للمرق الصحيح للمرق الصحيح + +421 +00:38:13,850 --> 00:38:19,490 +للمرق الصحيح للمرق الصحيح للمرق الصحيح للمرق + +422 +00:38:19,490 --> 00:38:22,970 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +423 +00:38:22,970 --> 00:38:23,110 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +424 +00:38:23,110 --> 00:38:23,130 +للمرق الصحيح للمرق الصحيح للمرق الصحيح للمرق + +425 +00:38:23,130 --> 00:38:23,310 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +426 +00:38:23,310 --> 00:38:37,910 +للمرق الصحيح للمرق الصح + +427 +00:38:38,340 --> 00:38:42,300 +وحصلنا على مونوكلونال الانتيبادي هذه الانتيبادي + +428 +00:38:42,300 --> 00:38:46,320 +نستخدمها كأمي بيسموها immunodiagnostic antibody + +429 +00:38:46,320 --> 00:38:50,840 +for immunodiagnosis of a human tumor and their + +430 +00:38:50,840 --> 00:38:58,700 +products these are widely used as reliable + +431 +00:38:58,700 --> 00:39:05,660 +immunodiagnostic procedure ونشوف الأمثلة على ذلك + +432 +00:39:06,870 --> 00:39:10,470 +قالوا detection of myeloma protein produced by + +433 +00:39:10,470 --> 00:39:14,570 +plasma cell tumor طبعا في الـ multiple myeloma كنا + +434 +00:39:14,570 --> 00:39:18,690 +بنعرف أنه في antibody بتتكون من plasma cell في هذه + +435 +00:39:18,690 --> 00:39:22,990 +الحالة وبالتالي detection of these proteins or + +436 +00:39:22,990 --> 00:39:28,430 +antibody can be diagnostic طبعا مثال آخر في + +437 +00:39:28,430 --> 00:39:30,410 +multiple myeloma أيضا في light chain + +438 +00:39:30,410 --> 00:39:34,230 +immunoglobulin نشوفها في الـ pensions protein في الـ + +439 +00:39:34,230 --> 00:39:37,430 +urine هذا عبارة عن Diagnostic Criteria أيضًا + +440 +00:39:37,430 --> 00:39:42,450 +Indication على Plasma Cell Tumor أما اثنين + +441 +00:39:42,450 --> 00:39:45,450 +Detection و Alpha-Feto Protein كل من يعرف أن الـ + +442 +00:39:45,450 --> 00:39:48,630 +Alpha-Feto Protein هو عبارة عن بروتين موجود في الـ + +443 +00:39:48,630 --> 00:39:53,650 +Fetal Serum وهي بالتالي بعد ولادة الـ level بيكون + +444 +00:39:53,650 --> 00:39:59,670 +عالي لكن بيبدأ ينزل بسرعة لغاية عشرين نانو جرام + +445 +00:39:59,670 --> 00:40:05,450 +بيرميل طبعا في أكثر من في حالات مرضية زي الـ + +446 +00:40:05,450 --> 00:40:10,370 +ovarian and testicular embryonal a non cancerous + +447 +00:40:10,370 --> 00:40:15,410 +hepatic disorder هذا الـ level of alpha-fetoprotein + +448 +00:40:15,410 --> 00:40:23,170 +بيزيد قالوا إذا زاد وصل خمسمية لألف نانو جرام + +449 +00:40:23,170 --> 00:40:29,620 +بيرميل هذا بيعني على أن في tumor بينتج Alpha + +450 +00:40:29,620 --> 00:40:35,480 +-Fetoprotein ومتابعة الـ Alpha-Fetoprotein بيعرفنا + +451 +00:40:35,480 --> 00:40:41,080 +إذا كان الـ tumor بسلو ريجلشن أو ريبرولجشن CAA + +452 +00:40:41,080 --> 00:40:44,920 +احنا قلناها ده عبارة عن الـ glycorrotine في الوضع + +453 +00:40:44,920 --> 00:40:50,640 +الطبيعي بينتج by gastrointestinal tract وخصوصا الـ + +454 +00:40:50,640 --> 00:40:56,550 +colon ويوم يصير الخلايا سرطانية الـ CA يتم إطلاقها + +455 +00:40:56,550 --> 00:41:03,350 +في الدم إذا زادت التركيز على 2.5 نانو جرام بيرميل + +456 +00:41:03,350 --> 00:41:08,230 +بيعني في مالك نانسي طبعا الـ high level كمان وجدوه + +457 +00:41:08,230 --> 00:41:13,290 +في non cancerous disease + +458 +00:41:13,290 --> 00:41:17,690 +زي سيروسز و الـ inflammatory disease of the + +459 +00:41:17,690 --> 00:41:19,410 +intestinal tract and lung + +460 +00:41:23,990 --> 00:41:30,070 +PCSA برانج لايكولوثين موجود في الـ ductal + +461 +00:41:30,070 --> 00:41:36,330 +epithelial cells of the prostate إذا كان تركيز بـ + +462 +00:41:36,330 --> 00:41:40,030 +8 إلى 10 نانو جرام في البلد بيعني أنه فيه prostate + +463 +00:41:40,030 --> 00:41:48,250 +cancer الـ cancer antigen 125 CA125 + +464 +00:41:50,660 --> 00:41:56,280 +طبعا هذا برعان tumor marker يستخدم for monitoring + +465 +00:41:56,280 --> 00:42:01,880 +the therapy of ovarian cancer C125 + +466 +00:42:01,880 --> 00:42:06,760 +أيضا بيزيد during peritoneal inflammatory process + +467 +00:42:06,760 --> 00:42:10,600 +فيه other marker هو برعان pan marker بيسمو pan + +468 +00:42:10,600 --> 00:42:17,410 +carcinoma marker اللي هو P72.3 هو برعان Monoclonal + +469 +00:42:17,410 --> 00:42:23,730 +Antibody That Recognize All Carcinoma In Human هو + +470 +00:42:23,730 --> 00:42:27,710 +برعان Monoclonal Antibody استخدموا ليه التعرف على + +471 +00:42:27,710 --> 00:42:34,250 +كل أنواع الكارسينوما في الجسم من السبب بيستخدموا + +472 +00:42:34,250 --> 00:42:37,570 +طبعا numerous attempts have been made to treat + +473 +00:42:37,570 --> 00:42:41,730 +cancer in animal and human by immunological means + +474 +00:42:42,280 --> 00:42:45,880 +لكن للأسف الشديد اليوم الـ immunotherapy لم يتم + +475 +00:42:45,880 --> 00:42:51,180 +تحريرها لتكون تجارب مفيدة للسرطان سواء كانت استخدمت + +476 +00:42:51,180 --> 00:42:54,740 +لحالها أو استخدمت in combination with chemotherapy + +477 +00:42:54,740 --> 00:43:00,000 +and radiotherapy أو even surgery اليوم currently + +478 +00:43:00,000 --> 00:43:06,460 +وفي يعني مجموعة كبيرة من الأبحاث و الاستراتيجيات + +479 +00:43:06,460 --> 00:43:12,110 +وضعت for experimental immunotherapy of tumor + +480 +00:43:12,110 --> 00:43:19,810 +للاستخدام وطبعا استخدموها من خلال دراستهم لكيفية + +481 +00:43:19,810 --> 00:43:27,430 +وسائل تنشيط أو قتل الخلايا المناعية تنشيط الخلايا + +482 +00:43:27,430 --> 00:43:30,750 +المناعية و كيفية قتلها الخلايا السرطانية ودي + +483 +00:43:30,750 --> 00:43:32,450 +ميكانيزمات كلها احنا عارفينها + +484 +00:43:37,710 --> 00:43:47,360 +أما بنشط الميكانزم وبالتالي بيختل بطريقة أفضل يعني + +485 +00:43:47,360 --> 00:43:52,220 +الخلايا دي قلنا بننشطها أو محقن اللي هو + +486 +00:43:52,220 --> 00:43:56,500 +cytotoxic telephosite whatever حتتطرق الى هذه + +487 +00:43:56,500 --> 00:44:00,700 +الميكانيزمات واحد واحد tumor specific monoclonal + +488 +00:44:00,700 --> 00:44:08,340 +antibody استخدموا أنت دي anti CD20 لعلاج بعض + +489 +00:44:08,340 --> 00:44:14,920 +اللينفومة Anti human إيه بديل من الـ Growth Factor + +490 +00:44:14,920 --> 00:44:17,700 +Receptor for treatment of certain patients with + +491 +00:44:17,700 --> 00:44:22,420 +breast and ovarian cancer؟ طبعا هذه الانتيبادي كان + +492 +00:44:22,420 --> 00:44:27,600 +بديل Cytolysis either by Anky cell من خلال الـ FC + +493 +00:44:27,600 --> 00:44:34,260 +receptor وميكانزم الـ ADCC أو by complement + +494 +00:44:34,260 --> 00:44:39,740 +activation وSurface Cytolysis attachment of toxin + +495 +00:44:39,740 --> 00:44:45,000 +such as ricin or radioactive isotopes بربطوا هذا + +496 +00:44:45,000 --> 00:44:51,460 +الـ toxin بالـ antibody و بيحقنوه في الإنسان + +497 +00:44:51,460 --> 00:44:55,380 +وبالتالي بيبقى يمشي لغة muscle specific for tumor + +498 +00:44:55,380 --> 00:44:58,000 +cell وبالتالي بيصل الـ tumor cell و هناك بيعمل + +499 +00:44:58,000 --> 00:45:04,000 +direct killing لـ الـ cell xenogenic antibody طبعا + +500 +00:45:04,000 --> 00:45:10,120 +أخذوا من الـ mouse انتيبادي طبعا هو عبارة عن ناوس + +501 +00:45:10,120 --> 00:45:16,160 +أنتيبادي لكن الـ Fc portion بيري كومبيلين دي أنهي + +502 +00:45:16,160 --> 00:45:20,580 +تكنولوجي خلوها humanize their constant region + +503 +00:45:20,580 --> 00:45:26,860 +وبالتالي حقن عشان يقللهم الـ immunogenicity تبعته + +504 +00:45:26,860 --> 00:45:31,560 +باي specific انتيبادي هذا عبارة عن انتيبادي + +505 +00:45:31,560 --> 00:45:38,580 +الانتيبادي له two Fab واحدة خلوها طبعا برضه by + +506 +00:45:38,580 --> 00:45:42,240 +recombinant DNA technology الموضوع واحدة خلوها + +507 +00:45:42,240 --> 00:45:46,180 +specific for tumor antigen والتانية specific for + +508 +00:45:46,180 --> 00:45:52,480 +ايش for T cell أو NK cell أو whatever ماشي + +509 +00:45:52,480 --> 00:45:59,890 +وبالتالي قربوا الـ tumor cell من الخلية المناعية + +510 +00:45:59,890 --> 00:46:02,850 +اللي هي الـ cytotoxic T- lymphocyte أو الانكي سيل + +511 +00:46:02,850 --> 00:46:09,110 +إذا كان specific للـ Fc portion أو Fc receptor اللي + +512 +00:46:09,110 --> 00:46:12,530 +موجود على سطح الانكي سيل فبالتالي الانكي سيل اليوم + +513 +00:46:12,530 --> 00:46:19,350 +قرب both cells سواء الـ cytotoxic أو الانكي سيل شرط + +514 +00:46:19,350 --> 00:46:24,620 +نجاح اللي هو وظيفتها اللي هو cell to cell contact + +515 +00:46:24,620 --> 00:46:27,700 +فهو قرّبوا الخلية من بعض وبالتالي بيحصل في direct + +516 +00:46:27,700 --> 00:46:34,820 +license الـ recombinant diffusion protein اللي هو + +517 +00:46:34,820 --> 00:46:41,260 +بعض المرات بيعملوا protein عبارة عن cytokine مع + +518 +00:46:41,260 --> 00:46:46,550 +antitumor antibody وبيسموه immunocytokine immuno + +519 +00:46:46,550 --> 00:46:50,450 +يعني انتيبادي و cytokine من immunoglobulin طبعا و + +520 +00:46:50,450 --> 00:46:54,250 +cytokine من cytokine بيعملولهم على شكل بروتين و + +521 +00:46:54,250 --> 00:46:58,490 +بيكونوا as a fusion protein concentrate وبالتالي + +522 +00:46:58,490 --> 00:47:05,170 +بيصير بيشتغل على الـ tumor cell بشكل أفضل ساعة + +523 +00:47:05,170 --> 00:47:12,280 +تكسك تيلينفوساعة تتاخد و بتتنمى براماشي هذه + +524 +00:47:12,280 --> 00:47:17,940 +الخلايا تستطيع أن تقتل مباشرة الـ tumor cell و + +525 +00:47:17,940 --> 00:47:23,380 +خصوصا أنه عندها القدرة أنها تتكون cost emulatory + +526 +00:47:23,380 --> 00:47:30,840 +molecule زي CDAT86 أو cytokine طبعا طبعا طبعا + +527 +00:47:30,840 --> 00:47:38,980 +طبعا + +528 +00:47:38,980 --> 00:47:40,920 +طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا + +529 +00:47:40,920 --> 00:47:44,620 +طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا + +530 +00:47:47,550 --> 00:47:51,530 +بنشطوها بحكي أن الـdendritic cell already مرتبط + +531 +00:47:51,530 --> 00:47:55,530 +باش من خلال MHC class 1 موليكولية على السطحة بال + +532 +00:47:55,530 --> 00:48:01,310 +antigenic peptide أو tumor antigen وبالتالي بيصير + +533 +00:48:01,310 --> 00:48:08,410 +تعرف أو متنشيط للتياتيك سايتوتكسيك ليمفوسايت أكثر + +534 +00:48:08,410 --> 00:48:12,170 +إذا هذه highly efficient antigen presenting cell + +535 +00:48:12,170 --> 00:48:18,490 +normally express high level of cell surface وبالتالي + +536 +00:48:18,490 --> 00:48:25,890 +بيصير فيه نشاط أكثر لـ T-cells.Dentritic cells are + +537 +00:48:25,890 --> 00:48:31,630 +either directly loaded بالبيبتايد دي بنحملها + +538 +00:48:31,630 --> 00:48:37,550 +مباشرة بالبيبتايد الـ tumor بيبتايد يعني خلال tumor + +539 +00:48:37,550 --> 00:48:40,730 +cell lysate أو + +540 +00:48:41,970 --> 00:48:46,030 +هي تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +541 +00:48:46,030 --> 00:48:47,070 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +542 +00:48:47,070 --> 00:48:51,950 +تتعامل مع مصادر دينايه + +543 +00:48:51,950 --> 00:48:55,450 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +544 +00:48:55,450 --> 00:49:00,250 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +545 +00:49:00,250 --> 00:49:00,630 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +546 +00:49:00,630 --> 00:49:03,210 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +547 +00:49:03,210 --> 00:49:11,590 +تتعامل مع مصادر دينايه تتعامل مع مصادر ديTumor + +548 +00:49:11,590 --> 00:49:14,270 +Antigen That Have Been Molecularly Characterized + +549 +00:49:14,270 --> 00:49:19,070 +Active Vaccination نفسها نستخدم Recombinant + +550 +00:49:19,070 --> 00:49:22,990 +Vaccine Which + +551 +00:49:22,990 --> 00:49:26,770 +Have Been Developed Using Vaccinia Listeria Or + +552 +00:49:26,770 --> 00:49:33,310 +Virus-Like Particle طبعا هذا عبارة عن Active + +553 +00:49:33,310 --> 00:49:41,480 +Immunization من خلال أيضا حقنق DNA بلازميد + +554 +00:49:41,480 --> 00:49:48,080 +Constructs اللي هو DNA Vaccine بيسموه والهدف من + +555 +00:49:48,080 --> 00:49:57,020 +ذلك هو أن يكون specific للـ tumor antigen and + +556 +00:49:57,020 --> 00:50:05,300 +expressed by muscle cell فأنا دفع عن Vaccine موجود + +557 +00:50:05,300 --> 00:50:06,880 +في الـ DNA + +558 +00:50:13,350 --> 00:50:17,030 +which is unique to tumor antigen يعني وبالتالي + +559 +00:50:17,030 --> 00:50:20,910 +بيصير في expression لهذا الـ vaccine هذا الـ tumor + +560 +00:50:20,910 --> 00:50:24,670 +antigen أكثر وبالتالي بيبقى فيه تنشيط ليش للخلايا + +561 +00:50:24,670 --> 00:50:28,610 +المناعية أكثر في بعض الحالات شو بيعملوا بيحقلوا + +562 +00:50:28,610 --> 00:50:35,430 +جينات أيضا مسئولة عن تصنيع cytokine زي GM-CSF IL2 + +563 +00:50:35,430 --> 00:50:44,730 +IL12 كل ما دول if they introduced بيحسنوا + +564 +00:50:44,730 --> 00:50:47,150 +الـ presentation of tumor antigen by the enteric + +565 +00:50:47,150 --> 00:50:56,430 +cell at the site of injection augmentation + +566 +00:50:56,430 --> 00:51:04,710 +of specific anticancer immunity هو طبعا هذا by + +567 +00:51:04,710 --> 00:51:12,580 +stimulation of macrophage using BCG أو كورينو + +568 +00:51:12,580 --> 00:51:20,080 +بكتيريام بارفون طبعا مثال على ذلك في استخدام الـ + +569 +00:51:20,080 --> 00:51:24,060 +BCG for treating patient with residual superficial + +570 +00:51:24,060 --> 00:51:28,480 +urinary bladder cancer بحق نهو repeated + +571 +00:51:28,480 --> 00:51:31,300 +installation of live mycobacterium into the + +572 +00:51:31,300 --> 00:51:38,490 +bladder من خلال كاتيتر بعد العملية بعد ما يعملوه الـ + +573 +00:51:38,490 --> 00:51:46,570 +section لها أثبتت نجاح وبتعتبر treatment of + +574 +00:51:46,570 --> 00:51:54,970 +choice for superficial bladder cancer لازم يكون + +575 +00:51:54,970 --> 00:52:01,630 +خارجي synthetic molecule أيضا هبين يوز زي البعيران + +576 +00:52:01,630 --> 00:52:09,710 +و الـ copilumar و الـ maleic anhydride diphenyl ether وعدة + +577 +00:52:09,710 --> 00:52:16,530 +these induce interferon production وايضا بعض الـ + +578 +00:52:16,530 --> 00:52:19,690 +herbal extracts have been used to stimulate the + +579 +00:52:19,690 --> 00:52:28,650 +immune response منها الجنسينج والإيشينيسيا + +580 +00:52:31,840 --> 00:52:35,500 +الـ trials are also in progress on the effect of + +581 +00:52:35,500 --> 00:52:40,820 +various cytokines زي الـ interferon alpha, beta, + +582 +00:52:41,020 --> 00:52:47,220 +gamma على الـ 1,2,2,3,4,5,12 tumor necrosis factor + +583 +00:52:47,220 --> 00:52:54,540 +وآخر إما singly or in combination on tumor + +584 +00:52:54,540 --> 00:52:56,600 +regression + +585 +00:52:59,960 --> 00:53:04,680 +عشرة lag cell و الـ tumor infiltrate lymphocytes + +586 +00:53:04,680 --> 00:53:09,680 +أيضا استخدمهم في treatment of cancer with variable + +587 +00:53:09,680 --> 00:53:15,020 +results lag cells are produced in vitro by + +588 +00:53:15,020 --> 00:53:21,060 +cultivation بيعملولها culturing بالـ IL-2 و + +589 +00:53:21,060 --> 00:53:25,000 +بيعملولها reinfusion to the patient و تعمل + +590 +00:53:25,000 --> 00:53:28,620 +dramatic improvement in the have been used + +591 +00:53:34,260 --> 00:53:37,700 +أيضا الـ documented success كانت أيضا مقالة + +592 +00:53:37,700 --> 00:53:42,940 +باستخدام tumor infiltrate lymphocyte لما نقلناها + +593 +00:53:42,940 --> 00:53:48,280 +لمرضى عندهم melanoma وجدوا أن هذه الـ lymphocyte + +594 +00:53:48,280 --> 00:53:53,140 +طبعا ممكن تتاخد by removal from tumor biopsy + +595 +00:53:53,140 --> 00:53:58,640 +expanded in vitro يعني قبلولها قدوها وقبلولها + +596 +00:53:58,640 --> 00:54:04,380 +culturing في وجود IL-2 ورجعوها ثاني وعلي المريض + +597 +00:54:04,380 --> 00:54:09,600 +وجدوا أنه فيه Anti-Tumor Activity Higher Many + +598 +00:54:09,600 --> 00:54:20,900 +Times Than Lag Cell و هذه قللت من العلاج + +599 +00:54:20,900 --> 00:54:26,260 +tumor immunoprophylaxis يعني عشان نمنع اللي هو + +600 +00:54:26,260 --> 00:54:29,460 +prophylactic treatment for tumor + +601 +00:54:35,430 --> 00:54:38,850 +باستخدام تقنية اميونية يعني اميونية ضد الفيروس + +602 +00:54:38,850 --> 00:54:42,590 +الأنكوجينيكي كانت + +603 +00:54:42,590 --> 00:54:47,330 +مفهومة في الكلب حقا أنهم في الفيروس الأنكوجينيكي + +604 +00:54:47,330 --> 00:54:52,850 +أيضا اميونية ضد عضلات الحيوانات الحيوانات + +605 +00:54:52,850 --> 00:54:54,310 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +606 +00:54:54,310 --> 00:54:55,950 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +607 +00:54:55,950 --> 00:54:59,590 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +608 +00:54:59,590 --> 00:54:59,670 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +609 +00:54:59,670 --> 00:55:02,690 +الحيوانات الحيوانات الحأو بيعطوا tumor cell in + +610 +00:55:02,690 --> 00:55:06,570 +which replication has been blocked مافيش + +611 +00:55:06,570 --> 00:55:10,290 +replication أو enzymatically modified surface + +612 +00:55:10,290 --> 00:55:13,910 +membrane tumor cell أو extract of antigen from the + +613 +00:55:13,910 --> 00:55:18,110 +surface of tumor cell كلها عبارة عن antigen لكن + +614 +00:55:18,110 --> 00:55:22,840 +ملعوفيبعيش أنه مايصارش فيه الوه اللي هو + +615 +00:55:22,840 --> 00:55:28,380 +replication في ال .. وبالتالي هو برع الـ energy + +616 +00:55:28,380 --> 00:55:34,980 +بيعطي عساسي يقوم الجهاز المناعي عند الإنسان + +617 +00:55:34,980 --> 00:55:37,880 +despite success in protection of experimental + +618 +00:55:37,880 --> 00:55:42,720 +animal في الـ animal ماشي efficacy of menopreflexes + +619 +00:55:42,720 --> 00:55:44,040 +for protection of human + +620 +00:55:51,920 --> 00:55:57,020 +أو حقيقية على الـ human بالنسبة للتعامل + +621 +00:55:57,020 --> 00:56:01,600 +الـ بروفيلاكتيكي بشكل الـ human بشكل الـ human بشكل + +622 +00:56:01,600 --> 00:56:05,840 +الـ human بشكل الـ human بشكل الـ human بشكل الـ human + +623 +00:56:05,840 --> 00:56:05,920 +بشكل الـ human بشكل الـ human بشكل الـ human بشكل + +624 +00:56:05,920 --> 00:56:06,100 +الـ human بشكل الـ human بشكل الـ human بشكل الـ human + +625 +00:56:06,100 --> 00:56:09,740 +بشكل الـ human بشكل الـ human بشكل الـ human بشكل + +626 +00:56:09,740 --> 00:56:10,620 +الهيومان بيش diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..ed4955cdedf7e098b15eddc8c60f227f8ebea43f --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0_postprocess.srt @@ -0,0 +1,2504 @@ +1 +00:00:00,610 --> 00:00:05,670 +الله الرحمن الرحيم حضرتنا اليوم عن tumor + +2 +00:00:05,670 --> 00:00:12,070 +immunology ومشارج + +3 +00:00:12,070 --> 00:00:17,990 +جهاز المناعة against tumor cell طبعا كلنا بنعرف ان + +4 +00:00:17,990 --> 00:00:27,770 +tumor cell has antigen on their surface وبالتالي + +5 +00:00:27,770 --> 00:00:36,130 +these antigens are foreignantigen وبالتالي + +6 +00:00:36,130 --> 00:00:43,430 +الجسم بيعتبرها as foreign cells ولابد من انه يشير + +7 +00:00:43,430 --> 00:00:54,770 +فيه تصدي لهذه الخلايا ال + +8 +00:00:54,770 --> 00:00:55,730 +tumor specific + +9 +00:00:58,510 --> 00:01:02,690 +transplantation antigen هي الانتجنات التي تظهر على + +10 +00:01:02,690 --> 00:01:07,830 +سطح خلايا tumor ووجدوها + +11 +00:01:07,830 --> 00:01:12,390 +in variety of animal species tumor specific + +12 +00:01:12,390 --> 00:01:17,830 +transplantation antigen لان همخش على تعريفات هذه + +13 +00:01:17,830 --> 00:01:23,870 +الانتجنات tumor antigen ممكن تشترك مع ال tumor + +14 +00:01:23,870 --> 00:01:24,290 +cell + +15 +00:01:28,020 --> 00:01:33,300 +تشترك بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +16 +00:01:33,300 --> 00:01:35,480 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +17 +00:01:35,480 --> 00:01:35,880 +مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +18 +00:01:35,880 --> 00:01:39,600 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +19 +00:01:39,600 --> 00:01:43,560 +مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +20 +00:01:43,560 --> 00:01:44,340 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +21 +00:01:44,340 --> 00:01:50,080 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +22 +00:01:50,080 --> 00:01:55,800 +مختلف بشكل مهو Demonstration of Tumor-Specific + +23 +00:01:55,800 --> 00:01:59,980 +Antigen of Chemically Induced Tumor أول ما اكتشفوا + +24 +00:01:59,980 --> 00:02:06,400 +ردة فعل جسم الملاعية في ال .. against tumor + +25 +00:02:06,400 --> 00:02:15,560 +antigen من خلال تجربة على ال mice التجربة كانت + +26 +00:02:15,560 --> 00:02:25,710 +كالقاتل عملوا tumorفي الـ mouse من خلال دهن ال + +27 +00:02:25,710 --> 00:02:32,450 +skin of the mouse by methyl chloranthrene وبالتالي + +28 +00:02:32,450 --> 00:02:38,730 +استكون ال tumor they excise the tumor وعملوا منه + +29 +00:02:38,730 --> 00:02:44,990 +tumor cell suspension و بعد هيك they inject the + +30 +00:02:44,990 --> 00:02:50,220 +prepared tumor cell into a new mouseأيضا تكونت + +31 +00:02:50,220 --> 00:02:57,060 +tumor , they excise the tumor و they challenge the + +32 +00:02:57,060 --> 00:03:02,660 +mouse with the same tumor وجدوا انه there is no + +33 +00:03:02,660 --> 00:03:03,760 +tumor growth + +34 +00:03:07,990 --> 00:03:11,330 +Injection of repaired tumor cell into a new + +35 +00:03:11,330 --> 00:03:17,910 +mouseExercise a growing tumor أيضًا Challenge with + +36 +00:03:17,910 --> 00:03:22,510 +different tumor cells With tumor cells نحو الـ + +37 +00:03:22,510 --> 00:03:30,630 +tumor will grow ببساطة خطوات التجربة كانت كالآتي + +38 +00:03:30,630 --> 00:03:36,070 +ذكرناها إنما نشرحها على صورة كالآتي هي عبارة عن + +39 +00:03:36,070 --> 00:03:40,500 +mousewith chemically carcinogenic induced tumor + +40 +00:03:40,500 --> 00:03:48,180 +دهانها ده هو ال skin by ash اللي هو carcinogenic + +41 +00:03:48,180 --> 00:03:53,940 +agent فتكون ال cancer أخدناها و عملنا منها tumors + +42 +00:03:53,940 --> 00:04:00,240 +cell suspension فطبعا + +43 +00:04:00,240 --> 00:04:08,550 +حقلناها للفعل ماشي the samethe same mouse حقنها + +44 +00:04:08,550 --> 00:04:17,410 +اله ثم رجعنا تاني و حطينا اله tumor cell وجدنا ان + +45 +00:04:17,410 --> 00:04:26,890 +ال tumor cell لم تنمو دليل على ان ال tumor cell + +46 +00:04:26,890 --> 00:04:31,490 +اللي دخلت تصدى لها جهاز المناع و كون ال vector + +47 +00:04:31,490 --> 00:04:37,790 +cellعملنا ال tumor مرة تانية ال tumor has been + +48 +00:04:37,790 --> 00:04:44,210 +rejected the same cell هو tumors الحقنها for + +49 +00:04:44,210 --> 00:04:57,290 +syndromic mice بس في هذه الحالة لما لما يعني عملنا + +50 +00:04:57,290 --> 00:05:04,330 +تكون ال tumorلكن لماذا؟ لأنه لم يرى الـ tumor من + +51 +00:05:04,330 --> 00:05:09,650 +قبل هذا الـ mouse لكن لو أخدنا الخلايا المنعية + +52 +00:05:09,650 --> 00:05:12,950 +التي تتكونت جهاز المنع اشتغل و أخدنا الخلايا + +53 +00:05:12,950 --> 00:05:18,430 +المنعية التي تكونت عنده و حقنها في fire تاني من + +54 +00:05:18,430 --> 00:05:22,770 +خلال ده هو adoptively transfer T cell خدنا الخلايا + +55 +00:05:22,770 --> 00:05:24,790 +المنعية المتمثلة بالـ telepathy + +56 +00:05:28,050 --> 00:05:31,230 +عملنا challenge يعني اعطينا .. كوّننا tumor عنده + +57 +00:05:31,230 --> 00:05:35,490 +مرتان يعني نلاقي ان tumor has been eradicated + +58 +00:05:35,490 --> 00:05:41,810 +بمعنى لم تنمو هذه الخلايا يعني الفارق اللي عنده + +59 +00:05:41,810 --> 00:05:44,970 +tumor لما نخلناه بالاداء .. بال .. بال .. بال team + +60 +00:05:44,970 --> 00:05:51,170 +for science اللي اتكونت عنده ماشي فده هو على طول + +61 +00:05:51,170 --> 00:05:59,070 +صار في eradication الأمين لل tumor اللي موجوددليل + +62 +00:05:59,070 --> 00:06:03,650 +على ان في جهاز منها قاعد بيشتغل وانه في علاقة + +63 +00:06:03,650 --> 00:06:10,910 +مثبتة بين ال immune response و tumor cell tumor + +64 +00:06:10,910 --> 00:06:17,930 +immunology هدافها هو معرفة العلاقة ما بين ال host + +65 +00:06:17,930 --> 00:06:22,890 +and tumor ايضا using the immune response to tumor + +66 +00:06:22,890 --> 00:06:29,050 +for diagnosis for prophylaxis and for therapyهو + +67 +00:06:29,050 --> 00:06:36,330 +الانتجين طبعا كيفية تكوينها بتمن خلال mutation + +68 +00:06:36,330 --> 00:06:42,550 +genetic activation clonal amplification + +69 +00:06:42,550 --> 00:06:48,910 +chromosomal deletion and translocationكلها عبارة + +70 +00:06:48,910 --> 00:06:53,730 +عن عمليات بتؤدي إلى mutation وبالتالي بتكوين ل + +71 +00:06:53,730 --> 00:06:57,550 +tumor antigen some tumor antigen are unique to + +72 +00:06:57,550 --> 00:07:02,510 +cancerous يعني فقط موجودة على قلايا السرطانية و + +73 +00:07:02,510 --> 00:07:09,110 +otherهي مشابهة لـ tumor cell antigen يعني موجود + +74 +00:07:09,110 --> 00:07:16,270 +بتشبيه اللي هي ايش ال ال normal cell antigen لكنها + +75 +00:07:16,270 --> 00:07:22,170 +بتغطي الخلايا تغطية كاملة او جزئية and these + +76 +00:07:22,170 --> 00:07:29,430 +either by more expression on cancer cellsلكن صار + +77 +00:07:29,430 --> 00:07:32,710 +فيه expression زيادة عن اللازوم لهذه الانتيجنات + +78 +00:07:32,710 --> 00:07:38,010 +على السطح الخلية السرطاني وامثل على ذلك كثير منها + +79 +00:07:38,010 --> 00:07:41,470 +ال human epidermal growth factor الريسبتور اللي + +80 +00:07:41,470 --> 00:07:45,370 +بيزيد ال expression تبعه في ال ovarian and breast + +81 +00:07:45,370 --> 00:07:51,190 +cancer بعض ال tumor antigen are present on + +82 +00:07:51,190 --> 00:07:55,170 +embryonic cell لكنها مش موجودة على ال normal other + +83 +00:07:55,170 --> 00:08:01,190 +cells زي ال oncofetal antigenطمور الانتجين يمكن أن + +84 +00:08:01,190 --> 00:08:05,850 +يكون مصادر من الجنة المتوسطة أيضا دليل على انه في + +85 +00:08:05,850 --> 00:08:10,610 +موقعات حرارة للتغيير وهناك + +86 +00:08:10,610 --> 00:08:11,710 +قليل من عملية عملية عملية عملية عملية عملية عملية + +87 +00:08:11,710 --> 00:08:12,030 +عملية عملية عملية عملية عملية عملية عملية عملية + +88 +00:08:12,030 --> 00:08:14,290 +عملية عملية عملية عملية عملية عملية عملية عملية + +89 +00:08:14,290 --> 00:08:14,990 +عملية عملية عملية عملية عملية عملية عملية عملية + +90 +00:08:14,990 --> 00:08:15,510 +عملية عملية عملية عملية عملية عملية عملية عملية + +91 +00:08:21,440 --> 00:08:24,420 +التي تسبب في تحويل التمر بشكل خاطئ مثل الـ + +92 +00:08:24,420 --> 00:08:30,680 +Ultraviolet والـ X-ray إرادياشي كارسينوجين يمكن أن + +93 +00:08:30,680 --> 00:08:35,840 +يسبب فيه تحويل كلوني كارسينوجين يعمل تحويل كلوني + +94 +00:08:35,840 --> 00:08:42,000 +لجسيمين فقط اللي بسبب تحويل جينات يمتلئ مصادر + +95 +00:08:42,000 --> 00:08:42,320 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +96 +00:08:42,320 --> 00:08:43,620 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +97 +00:08:43,620 --> 00:08:45,860 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +98 +00:08:45,860 --> 00:08:50,670 +مصادر مصادر مصادر مصادر مصادر مصادربتؤدي الى ايش + +99 +00:08:50,670 --> 00:08:57,930 +عملة clonal amplification لخلية ماشي ليش لأنه + +100 +00:08:57,930 --> 00:09:04,150 +الجينات اللي بتحتوي على تفرع واحدة ماشي هي اللي + +101 +00:09:04,150 --> 00:09:08,110 +عملت clonal amplification carcinogen مرة تانية + +102 +00:09:08,110 --> 00:09:14,550 +بيؤدي الى mutation ماشي of genesوبالتالي هذه + +103 +00:09:14,550 --> 00:09:19,170 +الجينات التي تحمل بيها بواسطة خلايا معينة تدّي + +104 +00:09:19,170 --> 00:09:22,870 +نقلولة ال amplification of the single cell + +105 +00:09:22,870 --> 00:09:28,450 +المتحسسة للميوتيشن tumor antigen are well + +106 +00:09:28,450 --> 00:09:33,330 +demonstrated by virusesكمان بعض الفيروسات virus + +107 +00:09:33,330 --> 00:09:39,570 +induced tumor بيسموهم oncogenic viruses وهذه بتأدى + +108 +00:09:39,570 --> 00:09:44,910 +الى طبعا اظهرت cross reactivity among tumors + +109 +00:09:44,910 --> 00:09:54,010 +induced by the same viruses وجدول التالي بيبينلنا + +110 +00:09:54,010 --> 00:09:59,440 +انواع tumor antigenزي ما انتوا شايفين في embryonic + +111 +00:09:59,440 --> 00:10:04,000 +قلنا تظهر الانكوفيتال انتيجين زي ال melanoma + +112 +00:10:04,000 --> 00:10:11,960 +associated gene اللي هو رقم واحد واتنين زي ال + +113 +00:10:11,960 --> 00:10:14,820 +carcinogenic embryonic antigen زي ال alpha + +114 +00:10:14,820 --> 00:10:20,730 +-phytoprotein كلها عبارة عناللي هو انتيجنات بتظهر + +115 +00:10:20,730 --> 00:10:25,290 +على overexpressed المفروض انها بتظهر على ال + +116 +00:10:25,290 --> 00:10:27,930 +embryonic life لكنها بتظهر على ال tumor cell + +117 +00:10:27,930 --> 00:10:35,270 +differentiation زي prostate specific antigen و + +118 +00:10:35,270 --> 00:10:41,830 +التيرونيزين و ال human epidermal growth factor + +119 +00:10:41,830 --> 00:10:47,710 +ماشي و يبعد ال antigenات زي ال alwaysهناك الـ + +120 +00:10:47,710 --> 00:10:50,290 +Clonal Amplification وهناك الـ Point Immutation، + +121 +00:10:50,290 --> 00:10:54,550 +تتركدوا فيهم واحد و واحد Normal Cellular Gene + +122 +00:10:54,550 --> 00:11:00,290 +Products Expressed During Embryogenesis هذا أول + +123 +00:11:00,290 --> 00:11:03,710 +واحد اللي قلنا اللي هو الـ Oncofetal Antigen زي + +124 +00:11:03,710 --> 00:11:06,830 +الـ Melanoma Associated Antigen + +125 +00:11:10,100 --> 00:11:15,100 +و طبعا هذه عبارة عن انتجنات ممكن نشتغلها نستخدمها + +126 +00:11:15,100 --> 00:11:19,820 +ك vaccine لأنه their expression is shared يعني + +127 +00:11:19,820 --> 00:11:28,060 +بتشترك كل الميلانومة بوجود هذه الانتجنات فاحنا + +128 +00:11:28,060 --> 00:11:31,920 +عشان نشتغل جهاز المناورة ممكن ناخدها و طبعا نحقنها + +129 +00:11:31,920 --> 00:11:37,720 +كانتجنات بالتالي بعد طبعا ما نعملها + +130 +00:11:38,900 --> 00:11:43,320 +Inactivation وبالتالي بنشر جهاز المناع من خلاله + +131 +00:11:43,320 --> 00:11:48,860 +Carcinogenic Carcino embryonic antigen CEA طبعا + +132 +00:11:48,860 --> 00:11:54,420 +وجدوه يعني هذا عبارة عن protein غالبا found in + +133 +00:11:54,420 --> 00:12:00,800 +serum of patient with cancer of GIT زي ال colon + +134 +00:12:00,800 --> 00:12:10,650 +cancerوزيادة ال level of CAA وجدوها في الأمراض + +135 +00:12:10,650 --> 00:12:14,630 +أخرى غير اللي هو ال colon cancer اللي هي non + +136 +00:12:14,630 --> 00:12:18,970 +specific or non neoplastic diseases زي ال + +137 +00:12:18,970 --> 00:12:24,190 +ulcerative colitis و ال pancreatitis الناس دولة + +138 +00:12:24,190 --> 00:12:29,750 +they don't have cancer وبالتالي this test is non + +139 +00:12:29,750 --> 00:12:36,000 +specificألفا فيتو بروتين هذا normally present at + +140 +00:12:36,000 --> 00:12:40,580 +high concentration في الـ fetal maternal serum و + +141 +00:12:40,580 --> 00:12:47,220 +it's absent في ال normal adult individual لكنه + +142 +00:12:47,220 --> 00:12:53,340 +موجود في الناس اللي عندهم hepatoma and testicular + +143 +00:12:53,340 --> 00:12:56,340 +teratocarcinoma + +144 +00:12:59,290 --> 00:13:04,150 +الثاني هو الـ Mutant Cellular Gene Product ناتج عن + +145 +00:13:04,150 --> 00:13:09,370 +ميوتيشن جين صار له ميوتيشن وفي أمثلة كثيرة على ذلك + +146 +00:13:09,370 --> 00:13:15,110 +منها في الـCML التاريزين كاينيز activity بتزيد + +147 +00:13:15,110 --> 00:13:20,510 +وبالتالي بيصير فيه اللي هو uncontrolled cellular + +148 +00:13:20,510 --> 00:13:25,650 +proliferation ولو استخدمنا inhibitor للجين تبع ال + +149 +00:13:25,650 --> 00:13:33,490 +PCR APLالجين الكايمريكي اللي يتكوّن في الـCML أو + +150 +00:13:33,490 --> 00:13:39,150 +ما يسمى بالفيلاديلفيا كرومازون اتشون + +151 +00:13:39,150 --> 00:13:43,270 +اي promise for inducing a complete hematological + +152 +00:13:43,270 --> 00:13:49,150 +response لو في نجاح تم باستخدام الـinhibitor في + +153 +00:13:49,150 --> 00:13:57,770 +عملية كبح جماح اللي هو الـCML diseaseطبعا و اليوم + +154 +00:13:57,770 --> 00:14:03,750 +بيعتبروها targeting therapy اليوم يعني أظهر نجاحات + +155 +00:14:03,750 --> 00:14:08,910 +كثيرة و مرضى سيأمال استغنوا غالبا عن ال + +156 +00:14:08,910 --> 00:14:13,930 +chemotherapy المثال + +157 +00:14:13,930 --> 00:14:19,610 +الآخر عن mutant cellular gene هو ال mutation اللي + +158 +00:14:19,610 --> 00:14:25,050 +بتسير في ال P53 protein طبعا ال P53 mutation + +159 +00:14:29,510 --> 00:14:35,210 +بتظهر بتظهر ان it changes in p53 يعني النتيجة + +160 +00:14:35,210 --> 00:14:42,770 +changes in p53 و ال protein اللي بيتكونغالبا + +161 +00:14:42,770 --> 00:14:47,170 +بيشتغل as a suppressor of cellular growth هذا في + +162 +00:14:47,170 --> 00:14:55,510 +الوضع الطبيعي ان ال P53 code for protein بيعمل + +163 +00:14:55,510 --> 00:15:03,870 +stopping لل ash لل cell cycle at certain ash stage + +164 +00:15:03,870 --> 00:15:08,650 +يوم يصير فيه خلل بيوقفاليوم يصير فيه ميوتيشن بيطلع + +165 +00:15:08,650 --> 00:15:12,730 +لنا بروتين أصلا فيه ميوتيشن اللي ممكن يعمل يشتغل + +166 +00:15:12,730 --> 00:15:20,670 +السبرس والسليجراث tumor immunity in vivo can be + +167 +00:15:20,670 --> 00:15:25,710 +induced by vaccination against newton p53 peptide + +168 +00:15:25,710 --> 00:15:35,450 +لو اعطوا ال p53 peptide مع ال I L 12 بيعتبر هذا ك + +169 +00:15:35,450 --> 00:15:36,190 +vaccine + +170 +00:15:39,970 --> 00:15:43,250 +ووجدوا ان الـ T lymphocyte directed against normal + +171 +00:15:43,250 --> 00:15:47,090 +B53 might preferentially destroy a tumor cell طبعا + +172 +00:15:47,090 --> 00:15:49,970 +هذا الكلام بنشهد ال T lymphocyte وT lymphocyte + +173 +00:15:49,970 --> 00:15:53,610 +بتهاجم ال tumor cell هو بالتالي ممكن يستخدم ك + +174 +00:15:53,610 --> 00:16:01,770 +vaccine هو و ILD12 مع بعض من حقنه مع بعض تلاتة + +175 +00:16:01,770 --> 00:16:05,310 +tumor antigen encoded by oncogen طبعا كلنا بنعرف + +176 +00:16:05,310 --> 00:16:08,830 +ان ال oncogen هو عبارة عن + +177 +00:16:13,680 --> 00:16:19,240 +وبالتالي جاي بعد ما صار فيه mutation في ال normal + +178 +00:16:19,240 --> 00:16:23,020 +gene و ال normal gene بيسموه proto-oncogen اللي + +179 +00:16:23,020 --> 00:16:28,160 +يوم ما يتحول ل proto-oncogen ل C-oncogen + +180 +00:16:30,930 --> 00:16:35,950 +بيتكون اللي هو as a mutation طبعا as a result of + +181 +00:16:35,950 --> 00:16:42,990 +mutation بيصير فيه اللي هو tumor و طبعا فيه سجلة + +182 +00:16:42,990 --> 00:16:48,050 +حالات كثيرة من خلال علاقة ال tumor او ال viruses + +183 +00:16:48,050 --> 00:16:51,890 +بالاش بال + +184 +00:16:55,500 --> 00:17:02,580 +أي هدا هي نظرية الانكوجين تقترح أو postulate that + +185 +00:17:02,580 --> 00:17:06,780 +such proto-ankogen يوم بسله mutation or activation + +186 +00:17:06,780 --> 00:17:10,300 +display increased expression or inappropriate + +187 +00:17:10,300 --> 00:17:14,440 +expression بسلهincreased او inappropriate + +188 +00:17:14,440 --> 00:17:18,500 +expression للـ mutated form of their gene a + +189 +00:17:18,500 --> 00:17:22,480 +product وبالتالي بيساهم كثير في تحويل الخلايا + +190 +00:17:22,480 --> 00:17:28,100 +الطبيعية الى خلايا سرطانية و اللي بيتكون cancer + +191 +00:17:28,100 --> 00:17:31,680 +طبعا عملية ال mutation بتتم من خلال ال chromosomal + +192 +00:17:31,680 --> 00:17:34,640 +translocation point limitation gene amplification + +193 +00:17:34,640 --> 00:17:43,250 +و هكذا وهذه حالات كثيرةماشي صار فيها activation لـ + +194 +00:17:43,250 --> 00:17:48,130 +cellular proto-oncogen in a human أي CMEC صار له + +195 +00:17:48,130 --> 00:17:56,170 +Genetic Rearrangement و تغيرت صار فيه + +196 +00:17:56,170 --> 00:17:59,410 +Translocation ما بين كلمزومات تمانية و أربعاش أو + +197 +00:17:59,410 --> 00:18:02,190 +تمانية و اتنين او تمانية و اتنين و عشرين و عملوا + +198 +00:18:02,190 --> 00:18:08,860 +حاجة بيسموها Perkins lymphomaCAPL أيضًا صرله + +199 +00:18:08,860 --> 00:18:12,920 +Genetic Transformation أو Rearrangement من خلال + +200 +00:18:12,920 --> 00:18:17,940 +Translocation ما بين كرومزوم 9 و22 وعمل CML وكذا + +201 +00:18:17,940 --> 00:18:24,800 +CH راس CK راس مجموعة الراس و الانمك برضه كلهم + +202 +00:18:24,800 --> 00:18:30,000 +بيكونوا different types of tumor مثلًا + +203 +00:18:30,000 --> 00:18:35,080 +البروتوانكوجينهذه هي يوم ما صار في activation لـ C + +204 +00:18:35,080 --> 00:18:43,020 +-Myc C-A-B-L C-K كيرهز امتزيست جينز are associated + +205 +00:18:43,020 --> 00:18:47,680 +with Perkins lymphomasium الانلانكول اوركولون + +206 +00:18:47,680 --> 00:18:55,700 +كارسينوما بالترتيب الدراسات على الحيوان ايضا اظهرت + +207 +00:18:55,700 --> 00:19:04,150 +ان ان في علاقة مباشرة ما بينالانكوجينيك ويروس وما + +208 +00:19:04,150 --> 00:19:11,090 +بين cross reactivity وطبعا امر طبيعي جدا لان ال + +209 +00:19:11,090 --> 00:19:17,710 +virus الانكوجينيك ويروس يعني بيعمل expression of + +210 +00:19:17,710 --> 00:19:24,190 +ال antigenاته على ال tumor cell بغض النظر على موقع + +211 +00:19:24,190 --> 00:19:28,830 +الخلايا اللي صار اللي لها tumor او نوع ال animal + +212 +00:19:28,830 --> 00:19:35,240 +speciesو زى ما قلنالكم في دلائل او في سجلة حالات + +213 +00:19:35,240 --> 00:19:41,600 +كثيرة مثبتة على علاقة اللى هو ال viruses بال tumor + +214 +00:19:41,600 --> 00:19:47,200 +زى ال Epstein-Barr Virus بيعمل اللى هو ال ال human + +215 +00:19:47,200 --> 00:19:51,520 +T cell leukemia virus و ال human papilloma virus + +216 +00:19:51,520 --> 00:19:54,820 +الأولانى بيعمل Perkins والتانى بيعمل leukemia + +217 +00:19:54,820 --> 00:19:57,840 +والتالت بيعمل cervical tumor + +218 +00:20:01,280 --> 00:20:06,980 +ما هي العوامل التي تؤثر في ال incidence of cancer + +219 +00:20:06,980 --> 00:20:15,520 +قالوا في مصطلح اسمه ال immune ال immune + +220 +00:20:15,520 --> 00:20:20,270 +surveillance والمصطلح هذا يعنيإنه فيه + +221 +00:20:20,270 --> 00:20:22,990 +immunological resistance against the development + +222 +00:20:22,990 --> 00:20:32,150 +of cancer الجسم يتصدى إلى ال tumor من خلال جهاز + +223 +00:20:32,150 --> 00:20:37,490 +المانعة ومن الناس اللي ما عندهمش مانعة عندهم + +224 +00:20:37,490 --> 00:20:40,590 +immunodeficiency disease usually are susceptible + +225 +00:20:40,590 --> 00:20:45,070 +to viral infection and certain malignant neoplasm + +226 +00:20:52,140 --> 00:20:59,480 +طبعا ال tumor cell اللي بتتكون خلال virus are + +227 +00:20:59,480 --> 00:21:04,420 +sensitive to immunologic destruction ومع ذلك ال + +228 +00:21:04,420 --> 00:21:07,400 +natural development of immunological response + +229 +00:21:07,400 --> 00:21:10,600 +usually fail to prevent cancer from developing + +230 +00:21:10,600 --> 00:21:16,060 +يعني صحيح جهاز الملعب بيشتغل لكن ومع ذلك السرطان + +231 +00:21:16,060 --> 00:21:25,020 +او ال tumor cell بتنجح فيهفي إدها تنمو وتتطور يعني + +232 +00:21:25,020 --> 00:21:31,320 +بنأمل في المستقبل أن يكون فيه good + +233 +00:21:31,320 --> 00:21:36,720 +response example by vaccination with tumor antigen + +234 +00:21:36,720 --> 00:21:41,280 +that will serve as viable option for prevention or + +235 +00:21:41,280 --> 00:21:47,490 +treatment of cancer in the futureEffect of + +236 +00:21:47,490 --> 00:21:50,770 +Mechanism in Tumor Immunology ما هي الميكانيزمات + +237 +00:21:50,770 --> 00:21:55,690 +وجدوا انه both Adaptive و Innate Immune Response + +238 +00:21:55,690 --> 00:22:01,970 +بلعبوا دور كبير و في العلاقة ما بين ال host و ال + +239 +00:22:01,970 --> 00:22:08,290 +tuner Immune Effect of Mechanism وجدت وجدوها ان it + +240 +00:22:08,290 --> 00:22:13,760 +can destroy tumor cell in vitroبالتجربة تتمثل في + +241 +00:22:13,760 --> 00:22:18,280 +الـ Antibody في الـ D-cell، الـ NK-cell، الـ Lact + +242 +00:22:18,280 --> 00:22:22,240 +-cell، الـ Macrophagin، الـCytokine كلها أبارع عن + +243 +00:22:22,240 --> 00:22:27,660 +ميكانيزمات أثبتت in vitro بإنها بتدمر الخلايا + +244 +00:22:27,660 --> 00:22:33,860 +السرطانية وهي الـ Antibody و الـ B-cell على سبيل + +245 +00:22:33,860 --> 00:22:36,820 +المثال في وجود كومبلي بتكون Antibody في وجود + +246 +00:22:36,820 --> 00:22:43,040 +كومبلي منتجات أو Optionizationالان ميكانيزم مفهوم + +247 +00:22:43,040 --> 00:22:46,980 +بشكل كام تسل + +248 +00:22:46,980 --> 00:22:49,460 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +249 +00:22:49,460 --> 00:22:53,260 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +250 +00:22:53,260 --> 00:22:58,100 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +251 +00:22:58,100 --> 00:23:01,720 +تسل تسل تسل تسل تسل تسل تسل + +252 +00:23:01,720 --> 00:23:05,360 +تسل + +253 +00:23:07,310 --> 00:23:14,930 +ووجدوها كثير قوية على الخلايا الـ dispersed اللي + +254 +00:23:14,930 --> 00:23:21,030 +هي المنفصلة على ال cell suspension ووجدوا فعاليتها + +255 +00:23:21,030 --> 00:23:26,890 +اكتر بكثير على هذه الخلايا المنفصلة اكتر من ال + +256 +00:23:26,890 --> 00:23:31,250 +solid tumor اللي هو بيكون متماسك ليش؟ لأن جهاز + +257 +00:23:31,250 --> 00:23:33,850 +المناع يستطيع ان يصل الى هذه الخلايا + +258 +00:23:37,530 --> 00:23:43,770 +من الـ Solid Tumour Cells نشوف أول ميكانيزم اللي + +259 +00:23:43,770 --> 00:23:49,890 +هو PCR Response لـ Tumour وجدوا أن IgPo, IgM و IgG + +260 +00:23:49,890 --> 00:23:55,690 +Antibody وجدوها in vitro can kill or destroy the + +261 +00:23:55,690 --> 00:24:00,450 +tumour cell طبعا في وجود ال complement طبعا هذا + +262 +00:24:00,450 --> 00:24:07,370 +الكلام أثبتناه بالتجربة in vitroالدراسات على + +263 +00:24:07,370 --> 00:24:15,830 +المايس ايضا اثبتت Indicate بتؤشر او بتدل على ان ال + +264 +00:24:15,830 --> 00:24:19,350 +Antitumor Antibody are effective in destroying + +265 +00:24:19,350 --> 00:24:25,250 +some leukemia and lymphoma وطبعا بتقلل من ال + +266 +00:24:25,250 --> 00:24:31,710 +metastasis in several other tumors system تنسوش + +267 +00:24:31,710 --> 00:24:37,780 +انه احنا هنحكي علىتجارب حدثت in vitro وليس in vivo + +268 +00:24:37,780 --> 00:24:43,860 +اخر حدث طبعا اثبتت ان هذه الانتيبادي لا تأثير لها + +269 +00:24:43,860 --> 00:24:50,500 +ولا بتبتل خلايا سرطانية ماشي اذا كان ال tumor in + +270 +00:24:50,500 --> 00:24:55,820 +solid form يوم ما يكون ال tumor in solid formبكازم + +271 +00:24:55,820 --> 00:24:58,760 +تاني destruction of tumor cell by opsonization of + +272 +00:24:58,760 --> 00:25:02,320 +phagocytosis كلنا بنعرف أنه الخلية الغريبة بقى + +273 +00:25:02,320 --> 00:25:05,960 +تكون لها antibody و بقعد على سطح الخلايا مرات و + +274 +00:25:05,960 --> 00:25:11,240 +بيصير كون و بيعمل opsonization لهذه الخلية طبعا + +275 +00:25:11,240 --> 00:25:15,240 +تتعرف عليها ال phagocytic cell و بتخلصنا منهاIn + +276 +00:25:15,240 --> 00:25:23,980 +vitro destruction of tumor cell بواسطة Trigocytic + +277 +00:25:23,980 --> 00:25:28,780 +cell أصلا قتل + +278 +00:25:28,780 --> 00:25:32,900 +أو عمل destruction لل tumor cell في وجود ال ant + +279 +00:25:32,900 --> 00:25:39,360 +tumor اللي هو immune serum and complement ميكانيزم + +280 +00:25:39,360 --> 00:25:43,220 +تالت Antibody-mediated loss of adhesion properties + +281 +00:25:43,220 --> 00:25:52,080 +of tumor cellالـ Adhesion Molecule لازم تتحلل + +282 +00:25:52,080 --> 00:25:56,540 +عشان يصير فيه متاستاسيس + +283 +00:25:56,540 --> 00:26:01,300 +متاستاسيس اكتفية مختلفة عن مخلوق مخلوق مخلوق مخلوق + +284 +00:26:01,300 --> 00:26:06,240 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +285 +00:26:10,100 --> 00:26:15,140 +عشان ترتبط بخلايا او بانسجة اخرى موجودة في اماكن + +286 +00:26:15,140 --> 00:26:19,300 +اخرى وبالتالي بيحصل فيه metastasis ال antibody + +287 +00:26:19,300 --> 00:26:24,220 +الموجهة ضد هذه الـ tumor cell surfaces can + +288 +00:26:24,220 --> 00:26:28,080 +interfere with the adhesive properties وهذا الكلام + +289 +00:26:28,080 --> 00:26:33,200 +ايضا done in vitro cell mediated responses + +290 +00:26:33,200 --> 00:26:38,100 +destruction by cytotoxic T lymphocytes ايضا + +291 +00:26:38,100 --> 00:26:44,150 +اثبتناها in vitroهي مسؤولة عن هذه الخلايا ومسؤولة + +292 +00:26:44,150 --> 00:26:52,830 +عن إدارة تمر سل بوريا في الواقعطبعا الـ Antibody + +293 +00:26:52,830 --> 00:26:55,890 +Dependent Cell Mediated Cytotoxicity دي عبارة عن + +294 +00:26:55,890 --> 00:27:01,870 +ميكانيزم بتمن خلال ارتباط ال .. ال .. ال .. ال .. + +295 +00:27:01,870 --> 00:27:06,090 +Phagocytic Cell بال Fc Portion of Antibody اللي + +296 +00:27:06,090 --> 00:27:09,670 +جاعد على سطح الخلية السرطانية، بالتالي بيصير في + +297 +00:27:09,670 --> 00:27:14,510 +cell to cell contact و بيصير في releasing ل ال + +298 +00:27:14,510 --> 00:27:20,050 +substance which can kill the tumor cellاستركشن of + +299 +00:27:20,050 --> 00:27:31,790 +tumors by NK or NKT or لأكسل التلاتة ماشي لا علاقة + +300 +00:27:31,790 --> 00:27:35,650 +طبعا كنا بنعرف انه خلاص ان الانكسل تتحسس اللي هو + +301 +00:27:38,140 --> 00:27:42,000 +موليكيول على سطح الخلايا تيومر سيل غالبا تعمل + +302 +00:27:42,000 --> 00:27:46,620 +shading تعمل masking ل اللي هو ال MSC موليكيول + +303 +00:27:46,620 --> 00:27:52,520 +وبالتالي تتعرف عليها اللي هو الانكسل أيضا الانكسل + +304 +00:27:52,520 --> 00:27:56,960 +have receptor لل FC portion of IGG وبالتالي من + +305 +00:27:56,960 --> 00:28:04,500 +خلال ADCC ممكن تتخلص من ال tumor cellبمجرد ما + +306 +00:28:04,500 --> 00:28:07,680 +ترتبط بتفرز ال tumor لإن كي cell tumor necrosis + +307 +00:28:07,680 --> 00:28:13,120 +factor α و اللي بيعملهم ورجو tumor necrosis ال lag + +308 +00:28:13,120 --> 00:28:18,820 +أيضا هي عبارة عن tumor specific killer cells و + +309 +00:28:18,820 --> 00:28:22,660 +ممكن نستنبطها أو ناخدها من بعض المرضى اللي عندهم + +310 +00:28:22,660 --> 00:28:29,400 +tumorبنميها برا في وجود IL-2 ونرجعها تاني للمريض + +311 +00:28:29,400 --> 00:28:36,920 +نفسه هدولة بنشطه اللي هو الـ mechanism اللي بنحكي + +312 +00:28:36,920 --> 00:28:40,580 +عنه سواء كان ADCC او Direct Killing By Ankyl Cell + +313 +00:28:40,580 --> 00:28:43,600 +Destruction + +314 +00:28:43,600 --> 00:28:46,300 +of tumor cell by activated macrophage and + +315 +00:28:46,300 --> 00:28:50,800 +neutrophil طبعا كلنا بنعرف ان ال macrophage بتتنشط + +316 +00:28:51,320 --> 00:28:57,540 +by releasing gamma interferon التشتت من خلال TCD4 + +317 +00:28:57,540 --> 00:29:08,620 +lymphocytes وطبعا ال gamma interferon له tumor + +318 +00:29:08,620 --> 00:29:15,280 +specific بيستخدم + +319 +00:29:15,280 --> 00:29:16,480 +ك cytotoxic + +320 +00:29:20,430 --> 00:29:26,630 +Cytokine against tumor cell ايضا بإطلاق لازوزايم + +321 +00:29:26,630 --> 00:29:30,730 +ونكروس فاكتوره الفا بيقتلوا tumor cell + +322 +00:29:35,370 --> 00:29:38,730 +أما تعمل Inhibition أو تعمل Growth لـPremarignant + +323 +00:29:38,730 --> 00:29:44,050 +وTumorignant Cell طبعاً نعرف أنه فيه Cytokine + +324 +00:29:44,050 --> 00:29:47,650 +Inhibitor وCytokine وفيه Stimulatory Transformed + +325 +00:29:47,650 --> 00:29:51,350 +Growth Factor Beta واحد من الـCytokine اللي بيعمل + +326 +00:29:51,350 --> 00:29:56,990 +Inhibition لل immune response وبالتالي بيصير فيه + +327 +00:29:56,990 --> 00:30:04,460 +promotion لل tumor growth في هذه الحالة و بيالو + +328 +00:30:04,460 --> 00:30:08,980 +انجيوجينيك بمعنى + +329 +00:30:08,980 --> 00:30:16,720 +انه بيسهل في عملية نمو الكانسر من خلال اللي هو + +330 +00:30:16,720 --> 00:30:23,120 +تكوين الانجيوجينيسي اللي هو blood vessels to the + +331 +00:30:23,120 --> 00:30:25,360 +tumor cell + +332 +00:30:27,510 --> 00:30:32,910 +Tumor Microsfactory و Interferon جعما أيضا لهم + +333 +00:30:32,910 --> 00:30:37,770 +Anti-Tumor Effect ليش؟ لأنهم بيعملوا Upregulation + +334 +00:30:37,770 --> 00:30:44,190 +لل MSC Class 1 و2 وبالتالي جهاز المنعب يتعرف عليهم + +335 +00:30:44,190 --> 00:30:48,590 +بسهولة يوم ما يحصل فيه Decrease expression للMSC + +336 +00:30:48,590 --> 00:30:54,770 +Determinants على سطح ال tumor cell بيكون وسيلة من + +337 +00:30:54,770 --> 00:30:59,450 +وسائل تهرب الخلية السرطانيةfrom the action of + +338 +00:30:59,450 --> 00:31:05,450 +cytokine transfection + +339 +00:31:05,450 --> 00:31:12,470 +of tumor cell with genes coding for cytokine زي IL + +340 +00:31:12,470 --> 00:31:21,430 +-117 وقام انترفيرون ماشي و بعد ذلك رجعهم ماشي + +341 +00:31:21,430 --> 00:31:22,290 +للمريض + +342 +00:31:25,210 --> 00:31:32,150 +أولى ال tumor-pairing mice أظهرت نتائج جيدة في + +343 +00:31:32,150 --> 00:31:38,150 +الانهيبشن of growth of tumor طيب، + +344 +00:31:38,150 --> 00:31:43,430 +إيش ال limitation of effectiveness of immune + +345 +00:31:43,430 --> 00:31:47,090 +response against tumor؟ كلنا بنعرف أنه مع وجود + +346 +00:31:47,090 --> 00:31:54,710 +immune response لأن tumor cell أو tumor can growو + +347 +00:31:54,710 --> 00:32:02,310 +بيتغلب على الجهاز المنعليش نشوف ايوة there is no + +348 +00:32:02,310 --> 00:32:05,430 +question انه في وجود ال immune response ال immune + +349 +00:32:05,430 --> 00:32:13,050 +response بيكون شغال في وجود ال tumor لكن بالرغم + +350 +00:32:13,050 --> 00:32:20,350 +ذلك ال tumor continue to grow و طبعا درسوا عدة + +351 +00:32:20,350 --> 00:32:21,330 +ميكانيزمات + +352 +00:32:23,960 --> 00:32:35,180 +طبعا هذه بتتعلق بال tumor cell او ب tumor and host + +353 +00:32:35,180 --> 00:32:38,380 +relationship + +354 +00:32:38,380 --> 00:32:44,360 +نشوف الميكانيزمات اللي بتتعلق بال tumorيقول إن من + +355 +00:32:44,360 --> 00:32:47,540 +واحد failure of tumor to provide suitable target + +356 +00:32:47,540 --> 00:32:52,040 +يعني كيف تتعرف يتعرف عليها جهاز المناعة بده يكون + +357 +00:32:52,040 --> 00:32:56,060 +فيه target بده يكون فيه antigen نشوف الوسائل التي + +358 +00:32:56,060 --> 00:33:01,640 +تتهرب من خلالها ال tumor cell from the immune + +359 +00:33:01,640 --> 00:33:06,020 +response يقول إن من واحد تاكوب antigen كيبته بتطيع + +360 +00:33:06,020 --> 00:33:10,050 +كل ال antigenات اللي على سطحها وبالتاليكل ال tumor + +361 +00:33:10,050 --> 00:33:13,550 +انتيجين مش موجودة فكيبري اتعرف عليها جزء منها نمر + +362 +00:33:13,550 --> 00:33:16,770 +اتنين lack of a C class one molecule طب ما هو دي + +363 +00:33:16,770 --> 00:33:21,970 +عبارة عن presenting molecule للانتيجين deficient + +364 +00:33:21,970 --> 00:33:25,510 +of antigen processing اصلا مافيش انتيجين عشان + +365 +00:33:25,510 --> 00:33:29,770 +نعمله processing antigenic modulation بيغير الجهاز + +366 +00:33:29,770 --> 00:33:36,270 +الخلية السرطانية في الانتيجين باستمرار فبالتالي + +367 +00:33:36,270 --> 00:33:41,000 +بيصير في ايه؟خلل في التعرف عليه antigenic masking + +368 +00:33:41,000 --> 00:33:46,740 +of the tumor يوم يغطي الانتجين كورونا الخلية + +369 +00:33:46,740 --> 00:33:51,420 +السرطانية برضه لاتستطيع ان تتعرف عليها resistance + +370 +00:33:51,420 --> 00:33:55,260 +of tumor cell to tumor seedal effector pathway بعد + +371 +00:33:55,260 --> 00:34:01,540 +الخلية السرطانية بتقاوم any اللي هو tumor seedal + +372 +00:34:01,540 --> 00:34:02,620 +effector pathway + +373 +00:34:05,230 --> 00:34:10,050 +فالنوع التاني او العامل التاني failure of tumor to + +374 +00:34:10,050 --> 00:34:18,910 +induce ineffective immune response طبعا زي ما + +375 +00:34:18,910 --> 00:34:29,170 +قولنا بصير فيه فشل في اللي هو تكوين ال immune + +376 +00:34:29,170 --> 00:34:29,890 +response + +377 +00:34:32,510 --> 00:34:36,530 +وطبعا وجود ال tumor يعني انه لازم يصير فيه + +378 +00:34:36,530 --> 00:34:40,450 +response بعض المرات بيفشل ال tumor في تحقيق هذه + +379 +00:34:40,450 --> 00:34:43,930 +الظاهرة بسبب في ذلك lack of antigenic epitopes + +380 +00:34:43,930 --> 00:34:48,770 +مافيش epitopes نمرة اتنين decrease MSC or tumor + +381 +00:34:48,770 --> 00:34:52,970 +antigen expression نمرة تلاتة مافيش costimulatory + +382 +00:34:52,970 --> 00:34:56,570 +signalنمرة أربعة production of inhibitory + +383 +00:34:56,570 --> 00:35:02,390 +substance هي بعض الصيتركاين اللي هنشوفها نمرة خمسة + +384 +00:35:02,390 --> 00:35:07,230 +shedding of tumor antigen in the surrounding area + +385 +00:35:07,230 --> 00:35:10,690 +او in the blood وبالتالي بيصير في tolerance لل + +386 +00:35:10,690 --> 00:35:18,250 +antigen في الجسمنمرة ستة اللي هو induction of T + +387 +00:35:18,250 --> 00:35:24,550 +cell signaling defect by tumor burden مافيش cell + +388 +00:35:24,550 --> 00:35:32,170 +signal طيب هذا مايتعلق بال tumor نشوف مايتعلق بإيش + +389 +00:35:32,170 --> 00:35:35,050 +بالـ host + +390 +00:35:46,230 --> 00:35:50,450 +failure of the host to respond to antigenic tumor + +391 +00:35:50,450 --> 00:35:54,430 +قالوا بعد مرات بيكون فيه neuro suppression or + +392 +00:35:54,430 --> 00:36:01,530 +deficiency of the host باشي بتشمل ابكتوزيس و + +393 +00:36:01,530 --> 00:36:05,810 +signaling defect of the T cell والسبب في ذلك وجود + +394 +00:36:05,810 --> 00:36:08,470 +كارسينوجينيك agent وان كان physical or chemical + +395 +00:36:08,470 --> 00:36:15,410 +agent or infection or even ageأه يعني الناس + +396 +00:36:15,410 --> 00:36:19,030 +الاختيارية كمان ممكناش نمرة اتنين deficient + +397 +00:36:19,030 --> 00:36:22,170 +presentation of tumor antigen مافي by the host + +398 +00:36:22,170 --> 00:36:24,530 +antigen presenting cell ماقدرتش ال antigen + +399 +00:36:24,530 --> 00:36:28,430 +presenting cell اللي هو تعمل antigen presentation + +400 +00:36:28,430 --> 00:36:33,070 +لل tumor antigen النمرة تلاتة failure of host + +401 +00:36:33,070 --> 00:36:37,970 +effector to reach tumor بعض المرات بيكون ال tumor + +402 +00:36:37,970 --> 00:36:41,790 +متخبي في أماكن لا يستطيع ان تصل اليها جهاز المنع + +403 +00:36:41,790 --> 00:36:47,640 +زي ال stromer carrierمرة خمسة host failure of host + +404 +00:36:47,640 --> 00:36:54,420 +to kill variant tumor cell because of dominant + +405 +00:36:54,420 --> 00:36:58,760 +immunodominant antigen on parental tumor cell طبعا + +406 +00:36:58,760 --> 00:37:05,100 +بيكون ال antigen في هذه الحالة dominant + +407 +00:37:05,100 --> 00:37:15,530 +antigen على ال parentalاللي هو tumor cell + +408 +00:37:15,530 --> 00:37:22,610 +immunodiagnosis + +409 +00:37:22,610 --> 00:37:27,750 +ليش بدنا نعمل immunodiagnosis قالوا له هدفين نمرا + +410 +00:37:27,750 --> 00:37:31,090 +واحد to detect antigen specific to tumor and cell + +411 +00:37:31,090 --> 00:37:37,670 +نمرا اتنين لتقييم + +412 +00:37:37,670 --> 00:37:42,000 +lost immune response to the tumorطبعا الـ tumor + +413 +00:37:42,000 --> 00:37:46,220 +cell بي express cytoplasmic او cell surface او + +414 +00:37:46,220 --> 00:37:50,100 +secreted product that are different in nature and + +415 +00:37:50,100 --> 00:37:53,340 +or quantity from those produced by their normal + +416 +00:37:53,340 --> 00:37:56,800 +counterpart طبيعي جدا tumor cell حتى تفرز هذه + +417 +00:37:56,800 --> 00:37:59,720 +الحاجات سواء كانت cytoplasmic او على ال cell + +418 +00:37:59,720 --> 00:38:05,040 +surface او في secreted product بتختلف اختلاف كله + +419 +00:38:05,040 --> 00:38:11,510 +عن ال normal counterpartبسبب عدد الانتجينيات + +420 +00:38:11,510 --> 00:38:13,850 +الصحيحة للمرق الصحيح للمرق الصحيح للمرق الصحيح + +421 +00:38:13,850 --> 00:38:19,490 +للمرق الصحيح للمرق الصحيح للمرق الصحيح للمرق + +422 +00:38:19,490 --> 00:38:22,970 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +423 +00:38:22,970 --> 00:38:23,110 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +424 +00:38:23,110 --> 00:38:23,130 +للمرق الصحيح للمرق الصحيح للمرق الصحيح للمرق + +425 +00:38:23,130 --> 00:38:23,310 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +426 +00:38:23,310 --> 00:38:37,910 +للمرق الصحيح للمرق الصح + +427 +00:38:38,340 --> 00:38:42,300 +وحصلنا على مونوكلون الانتيبادي هذه الانتيبادي + +428 +00:38:42,300 --> 00:38:46,320 +نستخدمها كامي بيسموها immunodiagnostic antibody + +429 +00:38:46,320 --> 00:38:50,840 +for immunodiagnosis of a human tumor and their + +430 +00:38:50,840 --> 00:38:58,700 +products these are widely used as reliable + +431 +00:38:58,700 --> 00:39:05,660 +immunodiagnostic procedure ونشوف الأمثلة على ذلك + +432 +00:39:06,870 --> 00:39:10,470 +قالوا detection of myeloma protein produced by + +433 +00:39:10,470 --> 00:39:14,570 +plasma cell tumor طبعا في ال multiple myeloma كنا + +434 +00:39:14,570 --> 00:39:18,690 +بنعرف انه في antibody بتتكون من plasma cell في هذه + +435 +00:39:18,690 --> 00:39:22,990 +الحالة وبالتالي detection of these proteins or + +436 +00:39:22,990 --> 00:39:28,430 +antibody can be diagnostic طبعا مثال اخر في + +437 +00:39:28,430 --> 00:39:30,410 +multiple myeloma ايضا في light chain + +438 +00:39:30,410 --> 00:39:34,230 +immunoglobulin نشوفها في ال pensions protein في ال + +439 +00:39:34,230 --> 00:39:37,430 +urineهذا عبارة عن Diagnostic Criteria أيضًا + +440 +00:39:37,430 --> 00:39:42,450 +Indication على Plasma Cell Tumor اما اتنين + +441 +00:39:42,450 --> 00:39:45,450 +Detection و Alpha-Feta Protein كل من يعرف ان ال + +442 +00:39:45,450 --> 00:39:48,630 +Alpha-Feta Protein هو عبارة عن بروتين موجود في الـ + +443 +00:39:48,630 --> 00:39:53,650 +Fetal Serum وهي بالتالي بعد ولادة ال level بيكون + +444 +00:39:53,650 --> 00:39:59,670 +عالي لكن بيبدأ ينزل بسرعة لغاية عشريننانو جرام + +445 +00:39:59,670 --> 00:40:05,450 +بيرميل طبعا في اكتير من في حالات مرضية زي ال + +446 +00:40:05,450 --> 00:40:10,370 +ovarian and testicular embryonal a non cancerous + +447 +00:40:10,370 --> 00:40:15,410 +hepatic disorder هذا ال level of alpha-fetoprotein + +448 +00:40:15,410 --> 00:40:23,170 +بيزيد قالوا اذا زاد وصل خمسمية لألف نانو جرام + +449 +00:40:23,170 --> 00:40:29,620 +بيرميل هذا بيعني على ان في tumorبينتج Alpha + +450 +00:40:29,620 --> 00:40:35,480 +-Fetoprotein ومتابعة الـ Alpha-Fetoprotein بيعرفنا + +451 +00:40:35,480 --> 00:40:41,080 +إذا كان الـ tumor بسلو ريجلشن أو ريبرولجشن CAA + +452 +00:40:41,080 --> 00:40:44,920 +احنا قلناها ده عبارة عن الـ glycorrotine في الوضع + +453 +00:40:44,920 --> 00:40:50,640 +الطبيعي بينتج by gastrointestinal tract وخصوصا الـ + +454 +00:40:50,640 --> 00:40:56,550 +colonو يوم يصير الخلايا سرطانية الـ CA يتم إطلاقها + +455 +00:40:56,550 --> 00:41:03,350 +في الدم إذا زادت التركيز على 2.5 نانو جرام بيرمل + +456 +00:41:03,350 --> 00:41:08,230 +بيعني في مالك نانسي طبعا ال high level كمان وجدوه + +457 +00:41:08,230 --> 00:41:13,290 +في non cancerous disease + +458 +00:41:13,290 --> 00:41:17,690 +زي سيروسز و ال inflammatory disease of the + +459 +00:41:17,690 --> 00:41:19,410 +intestinal tract and lung + +460 +00:41:23,990 --> 00:41:30,070 +PCSA برانج لايكولوثين موجود في الـ ductal + +461 +00:41:30,070 --> 00:41:36,330 +epithelial cells of the prostate إذا كان تركيز بـ + +462 +00:41:36,330 --> 00:41:40,030 +8 إلى 10 نانو كرام في البلد بيعني أنه فيه prostate + +463 +00:41:40,030 --> 00:41:48,250 +cancer ال cancer antigen 125 CA125 + +464 +00:41:50,660 --> 00:41:56,280 +طبعا هذا برعان tumor marker يستخدم for monitoring + +465 +00:41:56,280 --> 00:42:01,880 +the therapy of ovarian cancer C125 + +466 +00:42:01,880 --> 00:42:06,760 +أيضا بيزيد during peritoneal inflammatory process + +467 +00:42:06,760 --> 00:42:10,600 +فيه other marker هو برعان pan marker بيسمو pan + +468 +00:42:10,600 --> 00:42:17,410 +carcinoma marker اللي هو P72.3هو برعام Monoclonal + +469 +00:42:17,410 --> 00:42:23,730 +Antibody That Recognize All Carcinoma In Human هو + +470 +00:42:23,730 --> 00:42:27,710 +برعام Monoclonal Antibody استخدموا ليه التعرف على + +471 +00:42:27,710 --> 00:42:34,250 +كل أنواع الكارسينوما في الجسم من السبب بيستخدموا + +472 +00:42:34,250 --> 00:42:37,570 +طبعا numerous attempts have been made to treat + +473 +00:42:37,570 --> 00:42:41,730 +cancer in animal and human by immunological means + +474 +00:42:42,280 --> 00:42:45,880 +لكن للأسف الشديد اليوم ال immunotherapy لم يتم + +475 +00:42:45,880 --> 00:42:51,180 +تحريرها لتكون تجارب مفيدة للقنصر سواء كانت استخدمت + +476 +00:42:51,180 --> 00:42:54,740 +لحالها او استخدمت in combination with chemotherapy + +477 +00:42:54,740 --> 00:43:00,000 +and radiotherapy او even surgery اليوم currently + +478 +00:43:00,000 --> 00:43:06,460 +وفي يعني مجموعة كبيرة من الأبحاث وال استراتيجيات + +479 +00:43:06,460 --> 00:43:12,110 +وضعتfor experimental immunotherapy of tumor + +480 +00:43:12,110 --> 00:43:19,810 +للاستخدام و طبعا استخدموها من خلال دراستهم لكيفية + +481 +00:43:19,810 --> 00:43:27,430 +وسائل تنشيط او قتل الخلايا المناعية تنشيط الخلايا + +482 +00:43:27,430 --> 00:43:30,750 +المناعية و كيفية قتلها الخلايا السلطانية و دي + +483 +00:43:30,750 --> 00:43:32,450 +ميكانيزمات كلها احنا عارفينها + +484 +00:43:37,710 --> 00:43:47,360 +أما بنشط الميكانزم وبالتالي بيختل بطريقة أفضليعني + +485 +00:43:47,360 --> 00:43:52,220 +الانكسيلة دي قلنا بننشطها او محقن اللي هو + +486 +00:43:52,220 --> 00:43:56,500 +cytotoxic telephosite whatever حتتطرق الى هذه + +487 +00:43:56,500 --> 00:44:00,700 +الميكانيزمات واحد واحد tumor specific monoclonal + +488 +00:44:00,700 --> 00:44:08,340 +antibody استخدموا انت دي anti CD20 لعلاج بعض + +489 +00:44:08,340 --> 00:44:14,920 +اللينفومة Anti humanإيه بديل من الـ Growth Factor + +490 +00:44:14,920 --> 00:44:17,700 +Receptor for treatment of certain patients with + +491 +00:44:17,700 --> 00:44:22,420 +breast and ovarian cancer؟ طبعا هذه الانتيبادي كان + +492 +00:44:22,420 --> 00:44:27,600 +بديل Cytolysis either by Anky cell من خلال الـ FC + +493 +00:44:27,600 --> 00:44:34,260 +receptor وميكانزم الـ ADCC أو by complement + +494 +00:44:34,260 --> 00:44:39,740 +activation وSurface Cytolysisattachment of toxin + +495 +00:44:39,740 --> 00:44:45,000 +such as ricin or radioactive isotopes بربطوا هذا + +496 +00:44:45,000 --> 00:44:51,460 +ال toxin بال antibody و بيحقنوه في الإنسان + +497 +00:44:51,460 --> 00:44:55,380 +وبالتالي بيبقى يمشي لغة muscle specific for tumor + +498 +00:44:55,380 --> 00:44:58,000 +cell وبالتالي بيصل ال tumor cell و هناك بيعمل + +499 +00:44:58,000 --> 00:45:04,000 +direct killing ل ال cell xenogenic antibody طبعا + +500 +00:45:04,000 --> 00:45:10,120 +اخدوا من ال mouseانتيبادي طبعا هو عبارة عن ناوس + +501 +00:45:10,120 --> 00:45:16,160 +انتيبادي لكن ال Fc portion بيري كومبيلين دي انهي + +502 +00:45:16,160 --> 00:45:20,580 +تكنولوجي خلوها humanize their constant region + +503 +00:45:20,580 --> 00:45:26,860 +وبالتالي حقن عشان يقللهم ال immunogenicity تبعته + +504 +00:45:26,860 --> 00:45:31,560 +باي specific انتيبادي هذا عبارة عن انتيبادي + +505 +00:45:31,560 --> 00:45:38,580 +الانتيبادي له two fabواحدة خلوها طبعا برضه by + +506 +00:45:38,580 --> 00:45:42,240 +recombinant DNA technology الموضوع واحدة خلوها + +507 +00:45:42,240 --> 00:45:46,180 +specific for tumor antigen والتانية specific for + +508 +00:45:46,180 --> 00:45:52,480 +ايش for T cell او NK cell او whatever ماشي + +509 +00:45:52,480 --> 00:45:59,890 +وبالتالي قربواالـ tumor cell من الخلية المناعية + +510 +00:45:59,890 --> 00:46:02,850 +اللي هي الـ cytotoxic T- lymphocyte او الانكي سيل + +511 +00:46:02,850 --> 00:46:09,110 +اذا كان specific لل Fc portion او Fc receptor اللي + +512 +00:46:09,110 --> 00:46:12,530 +موجود على سطح الانكي سيل فبالتالي الانكي سيل اليوم + +513 +00:46:12,530 --> 00:46:19,350 +قرب both cells سواء ال cytotoxic او الانكي سيل شرط + +514 +00:46:19,350 --> 00:46:24,620 +نجاحاللي هو وظيفتها اللي هو cell to cell contact + +515 +00:46:24,620 --> 00:46:27,700 +فهم قرّبوا الخلية من بعض وبالتالي بيحصل في direct + +516 +00:46:27,700 --> 00:46:34,820 +license ال recombinant diffusion protein اللي هو + +517 +00:46:34,820 --> 00:46:41,260 +بعض المرات بيعملوا protein عبارة عن cytokine مع + +518 +00:46:41,260 --> 00:46:46,550 +antitumor antibodyو بيسموه immunocytokine immuno + +519 +00:46:46,550 --> 00:46:50,450 +يعني انتبادي و cytokine من immunoglobulin طبعا و + +520 +00:46:50,450 --> 00:46:54,250 +cytokine من cytokine بيعملولهم على شكل بروتين و + +521 +00:46:54,250 --> 00:46:58,490 +بيكونوا as a fusion protein concentrate وبالتالي + +522 +00:46:58,490 --> 00:47:05,170 +بيصير بيشتغل على ال tumor cell بشكل أفضل ساعته + +523 +00:47:05,170 --> 00:47:12,280 +تكسك تيلينفوساعته تتاخد و بتتنمى براماشي هذه + +524 +00:47:12,280 --> 00:47:17,940 +الخلايا تستطيع ان تقتل مباشرة ال tumor cell و + +525 +00:47:17,940 --> 00:47:23,380 +خصوصا انه عندها القدرة انها تتكون cost emulatory + +526 +00:47:23,380 --> 00:47:30,840 +molecule زي CDAT86 او cytokineطبعاً طبعاً طبعاً + +527 +00:47:30,840 --> 00:47:38,980 +طبعا + +528 +00:47:38,980 --> 00:47:40,920 +طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا + +529 +00:47:40,920 --> 00:47:44,620 +طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا + +530 +00:47:47,550 --> 00:47:51,530 +بنشطوها بحكي ان الـdendritic cell already مرتبط + +531 +00:47:51,530 --> 00:47:55,530 +باش من خلال MSC class 1 موليكولية على السطحة بال + +532 +00:47:55,530 --> 00:48:01,310 +antigenic peptide او tumor antigen وبالتالي بيصير + +533 +00:48:01,310 --> 00:48:08,410 +تعرف او متنشيط للتياتيك سايتوتكسيك ليمفوسايت اكتر + +534 +00:48:08,410 --> 00:48:12,170 +اذا هذه highly efficient antigen presenting cell + +535 +00:48:12,170 --> 00:48:18,490 +normally express high level of cell surfaceبالتالي + +536 +00:48:18,490 --> 00:48:25,890 +بيصير فيه نشاط اكتر لـ T-cells.Dentritic cells are + +537 +00:48:25,890 --> 00:48:31,630 +either directly loaded بالبيبتايد دي بنحملها + +538 +00:48:31,630 --> 00:48:37,550 +مباشرة بالبيبتايد ال tumor بيبتايد يعني خلال tumor + +539 +00:48:37,550 --> 00:48:40,730 +cell lysate او + +540 +00:48:41,970 --> 00:48:46,030 +هي تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +541 +00:48:46,030 --> 00:48:47,070 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +542 +00:48:47,070 --> 00:48:51,950 +تتعامل مع مصادر دينايه + +543 +00:48:51,950 --> 00:48:55,450 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +544 +00:48:55,450 --> 00:49:00,250 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +545 +00:49:00,250 --> 00:49:00,630 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +546 +00:49:00,630 --> 00:49:03,210 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +547 +00:49:03,210 --> 00:49:11,590 +تتعامل مع مصادر دينايه تتعامل مع مصادر ديTumor + +548 +00:49:11,590 --> 00:49:14,270 +Antigen That Have Been Molecularly Characterized + +549 +00:49:14,270 --> 00:49:19,070 +Active Vaccination نفسها نستخدم Recombinant + +550 +00:49:19,070 --> 00:49:22,990 +Vaccine Which + +551 +00:49:22,990 --> 00:49:26,770 +Have Been Developed Using Vaccinia Listeria Or + +552 +00:49:26,770 --> 00:49:33,310 +Virus-Like Particle طبعا هذا عبارة عن Active + +553 +00:49:33,310 --> 00:49:41,480 +Immunization من خلال أيضاحقنق DNA بلازميد + +554 +00:49:41,480 --> 00:49:48,080 +Constructs اللي هو DNA Vaccine بيسموه والهدف من + +555 +00:49:48,080 --> 00:49:57,020 +ذلك هو ان يكون specific لل tumor antigen and + +556 +00:49:57,020 --> 00:50:05,300 +expressed by muscle cell فانا دفع عن Vaccine موجود + +557 +00:50:05,300 --> 00:50:06,880 +في ال DNA + +558 +00:50:13,350 --> 00:50:17,030 +which is unique to tumor antigen يعني وبالتالي + +559 +00:50:17,030 --> 00:50:20,910 +بيصير في expression لهذا ال vaccine هذا ال tumor + +560 +00:50:20,910 --> 00:50:24,670 +antigen اكتر وبالتالي بيبقى فيه تنشيط ليش للخلايا + +561 +00:50:24,670 --> 00:50:28,610 +المنعية اكتر في بعض الحالات شو بيعملوا بيحقلوا + +562 +00:50:28,610 --> 00:50:35,430 +جينات ايضا مسئولة عن تصنيع cytokine زي GMC SF IL2 + +563 +00:50:35,430 --> 00:50:44,730 +IL12كل ما دولا if they introduced بيحسنوا + +564 +00:50:44,730 --> 00:50:47,150 +ال presentation of tumor antigen by the enteric + +565 +00:50:47,150 --> 00:50:56,430 +cell at the site of injection augmentation + +566 +00:50:56,430 --> 00:51:04,710 +of specific anticancer immunity هو طبعا هذا by + +567 +00:51:04,710 --> 00:51:12,580 +stimulation of macrophageusing pcg او كورينو + +568 +00:51:12,580 --> 00:51:20,080 +بكتيريام بارفون طبعا مثال على ذلك في استخدام ال + +569 +00:51:20,080 --> 00:51:24,060 +pcg for treating patient with residual superficial + +570 +00:51:24,060 --> 00:51:28,480 +urinary bladder cancer بحق نهو repeated + +571 +00:51:28,480 --> 00:51:31,300 +installation of live mycobacterium into the + +572 +00:51:31,300 --> 00:51:38,490 +bladder من خلال كاتيتر بعدالعملية بعد ما يعملوه ال + +573 +00:51:38,490 --> 00:51:46,570 +section لها أثبتت نجاح و بتعتبر treatment of + +574 +00:51:46,570 --> 00:51:54,970 +choice for superficial bladder cancer لازم يكون + +575 +00:51:54,970 --> 00:52:01,630 +خارجي synthetic molecule أيضا هبين يوز زي البعيران + +576 +00:52:01,630 --> 00:52:09,710 +و ال copilumarوالمالك انهيدريد دايفانيل إيثار وعدة + +577 +00:52:09,710 --> 00:52:16,530 +these induce interferon production وايضا بعض ال + +578 +00:52:16,530 --> 00:52:19,690 +herbal extracts have been used to stimulate the + +579 +00:52:19,690 --> 00:52:28,650 +immune response منها الجنسينج والإيشينيسيا + +580 +00:52:31,840 --> 00:52:35,500 +الـ trials are also in progress on the effect of + +581 +00:52:35,500 --> 00:52:40,820 +various cytokines زي ال interferon alpha, beta, + +582 +00:52:41,020 --> 00:52:47,220 +gamma على ال 1,2,2,3,4,5,12 tumor necrosis factor + +583 +00:52:47,220 --> 00:52:54,540 +و أخر إما singly or in combination on tumor + +584 +00:52:54,540 --> 00:52:56,600 +regression + +585 +00:52:59,960 --> 00:53:04,680 +عشرة lag cell و ال tumor infiltrate lymphocytes + +586 +00:53:04,680 --> 00:53:09,680 +ايضا استخدمهم في treatment of cancer with variable + +587 +00:53:09,680 --> 00:53:15,020 +results lag cells are produced in vitro by + +588 +00:53:15,020 --> 00:53:21,060 +cultivation بيعملولها culturing بال IL-2 و + +589 +00:53:21,060 --> 00:53:25,000 +بيعملولها reinfusion to the patient و تعمل + +590 +00:53:25,000 --> 00:53:28,620 +dramatic improvement in the have been used + +591 +00:53:34,260 --> 00:53:37,700 +أيضًا الـ documented success كانت أيضًا مقالة + +592 +00:53:37,700 --> 00:53:42,940 +باستخدام tumor infiltrate lymphocyte لما نقلناها + +593 +00:53:42,940 --> 00:53:48,280 +لمرضى عندهم melanoma وجدوا أن هذه ال lymphocyte + +594 +00:53:48,280 --> 00:53:53,140 +طبعًا ممكن تتاخد by removal from tumor biopsy + +595 +00:53:53,140 --> 00:53:58,640 +expanded in vitro يعني قبلولها قدوها وقبلولها + +596 +00:53:58,640 --> 00:54:04,380 +culturing في وجود IL-2 ورجعوها تانيوعلى المريض + +597 +00:54:04,380 --> 00:54:09,600 +وجدوا انه فيه Anti-Tumor Activity Higher Many + +598 +00:54:09,600 --> 00:54:20,900 +Times Than Lag Cell و هذه قللت من العلاج + +599 +00:54:20,900 --> 00:54:26,260 +tumor immunoprophylaxis يعني عشان نمنع اللي هو + +600 +00:54:26,260 --> 00:54:29,460 +prophylactic treatment for tumor + +601 +00:54:35,430 --> 00:54:38,850 +باستخدام تقنية اميونية يعني اميونية ضد الفيروس + +602 +00:54:38,850 --> 00:54:42,590 +الانكوجينيكي كانت + +603 +00:54:42,590 --> 00:54:47,330 +مفهومة في الكلب حقا انهم في الفيروس الانكوجينيكي + +604 +00:54:47,330 --> 00:54:52,850 +ايضا اميونية ضد عضلات الحيوانات الحيوانات + +605 +00:54:52,850 --> 00:54:54,310 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +606 +00:54:54,310 --> 00:54:55,950 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +607 +00:54:55,950 --> 00:54:59,590 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +608 +00:54:59,590 --> 00:54:59,670 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +609 +00:54:59,670 --> 00:55:02,690 +الحيوانات الحيوانات الحأو بيعطوا tumor cell in + +610 +00:55:02,690 --> 00:55:06,570 +which replication has been blocked مافيش + +611 +00:55:06,570 --> 00:55:10,290 +replication او enzymatically modified surface + +612 +00:55:10,290 --> 00:55:13,910 +membrane tumor cell او extract of antigen from the + +613 +00:55:13,910 --> 00:55:18,110 +surface of tumor cell كلها عبارة عن antigen لكن + +614 +00:55:18,110 --> 00:55:22,840 +ملعوفيبعيش انه مايصارش فيه الوه اللي هو + +615 +00:55:22,840 --> 00:55:28,380 +replication فى ال .. وبالتالي هو برع ال energy + +616 +00:55:28,380 --> 00:55:34,980 +بيعطى عساسى يقوم الجهاز المناعى عند الإنسان + +617 +00:55:34,980 --> 00:55:37,880 +despite success in protection of experimental + +618 +00:55:37,880 --> 00:55:42,720 +animal فى ال animal ماشي efficacy of menopreflexes + +619 +00:55:42,720 --> 00:55:44,040 +for protection of human + +620 +00:55:51,920 --> 00:55:57,020 +أو حقيقية على الهيومان بالنسبة للتعامل + +621 +00:55:57,020 --> 00:56:01,600 +البروفيلاكتيكي بشكل الهيومان بشكل الهيومان بشكل + +622 +00:56:01,600 --> 00:56:05,840 +الهيومان بشكل الهيومان بشكل الهيومان بشكل الهيومان + +623 +00:56:05,840 --> 00:56:05,920 +بشكل الهيومان بشكل الهيومان بشكل الهيومان بشكل + +624 +00:56:05,920 --> 00:56:06,100 +الهيومان بشكل الهيومان بشكل الهيومان بشكل الهيومان + +625 +00:56:06,100 --> 00:56:09,740 +بشكل الهيومان بشكل الهيومان بشكل الهيومان بشكل + +626 +00:56:09,740 --> 00:56:10,620 +الهيومان بش + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..1f088cd3fd4a2ef67f4d8026825add89d290a9ec --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 2963, "start": 0.61, "end": 29.63, "text": "الله الرحمن الرحيم حضرتنا اليوم عن tumor immunology ومشارج جهاز المناعة against tumor cell طبعا كلنا بنعرف ان tumor cell has antigen on their surface وبالتالي these antigens are foreign", "tokens": [6027, 43761, 34892, 5016, 27842, 34892, 5016, 32640, 11331, 11242, 43500, 8315, 45595, 20498, 18871, 22512, 13154, 1793, 4032, 2304, 8592, 9640, 7435, 10874, 3224, 31377, 9673, 8315, 27884, 1970, 22512, 2815, 23032, 3555, 3615, 995, 28242, 8315, 44945, 3615, 28480, 16472, 22512, 2815, 575, 2511, 3213, 322, 641, 3753, 46599, 6027, 2655, 6027, 1829, 613, 44417, 694, 366, 5329], 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عن", "probability": 0.99853515625}, {"start": 2798.76, "end": 2800.3, "word": " cytokine", "probability": 0.9205729166666666}, {"start": 2800.3, "end": 2801.26, "word": " مع", "probability": 0.984375}, {"start": 2801.26, "end": 2801.9, "word": " antitumor", "probability": 0.72186279296875}, {"start": 2801.9, "end": 2802.36, "word": " antibody", "probability": 0.923828125}], "temperature": 1.0}, {"id": 109, "seek": 283005, "start": 2803.37, "end": 2830.05, "text": "و بيسموه immunocytokine immuno يعني انتبادي و cytokine من immunoglobulin طبعا و cytokine من cytokine بيعملولهم على شكل بروتين و بيكونوا as a fusion protein concentrate وبالتالي بيصير بيشتغل على ال tumor cell بشكل أفضل ساعته تكسك تيلينفوساعته تتاخد و بتتنمى برا", "tokens": [2407, 4724, 1829, 38251, 2407, 3224, 13154, 905, 4328, 453, 533, 13154, 78, 37495, 22653, 16472, 2655, 3555, 18513, 1829, 4032, 40248, 453, 533, 9154, 13154, 45841, 12176, 259, 23032, 3555, 3615, 995, 4032, 40248, 453, 533, 9154, 40248, 453, 533, 4724, 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{"start": 2827.97, "end": 2829.57, "word": " بتتنمى", "probability": 0.91376953125}, {"start": 2829.57, "end": 2830.05, "word": " برا", "probability": 0.939453125}], "temperature": 1.0}, {"id": 110, "seek": 284788, "start": 2830.76, "end": 2847.88, "text": "ماشي هذه الخلايا تستطيع ان تقتل مباشرة ال tumor cell و خصوصا انه عندها القدرة انها تتكون cost emulatory molecule زي CDAT86 او cytokine", "tokens": [2304, 33599, 1829, 29538, 33962, 15040, 25528, 6055, 14851, 9566, 40228, 16472, 6055, 38149, 1211, 3714, 3555, 33599, 25720, 2423, 22512, 2815, 4032, 16490, 9381, 2407, 9381, 995, 16472, 3224, 43242, 11296, 25062, 3215, 25720, 16472, 11296, 6055, 2655, 30544, 2063, 846, 425, 4745, 15582, 30767, 1829, 6743, 2218, 22193, 1975, 2407, 40248, 453, 533], "avg_logprob": -0.28180803039244245, "compression_ratio": 1.2407407407407407, "no_speech_prob": 0.0, "words": [{"start": 2830.76, "end": 2831.6, "word": "ماشي", "probability": 0.6465657552083334}, {"start": 2831.6, "end": 2832.28, "word": " 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عندها", "probability": 0.982666015625}, {"start": 2840.42, "end": 2840.78, "word": " القدرة", "probability": 0.97412109375}, {"start": 2840.78, "end": 2841.06, "word": " انها", "probability": 0.6053466796875}, {"start": 2841.06, "end": 2842.36, "word": " تتكون", "probability": 0.8411458333333334}, {"start": 2842.36, "end": 2842.78, "word": " cost", "probability": 0.315673828125}, {"start": 2842.78, "end": 2843.38, "word": " emulatory", "probability": 0.4363199869791667}, {"start": 2843.38, "end": 2844.18, "word": " molecule", "probability": 0.7919921875}, {"start": 2844.18, "end": 2845.38, "word": " زي", "probability": 0.763671875}, {"start": 2845.38, "end": 2846.88, "word": " CDAT86", "probability": 0.5261637369791666}, {"start": 2846.88, "end": 2847.2, "word": " او", "probability": 0.808837890625}, {"start": 2847.2, "end": 2847.88, "word": " cytokine", "probability": 0.8238932291666666}], "temperature": 1.0}, {"id": 111, "seek": 286462, "start": 2849.86, "end": 2864.62, "text": "طبعاً طبعاً طبعاً طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا", "tokens": [9566, 3555, 3615, 995, 14111, 23032, 3555, 3615, 995, 14111, 23032, 3555, 3615, 995, 14111, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995, 23032, 3555, 3615, 995], "avg_logprob": -0.1614062485098839, "compression_ratio": 8.84, "no_speech_prob": 0.0, "words": [{"start": 2849.86, "end": 2850.34, "word": "طبعاً", "probability": 0.731982421875}, {"start": 2850.34, "end": 2850.82, "word": " طبعاً", "probability": 0.7122802734375}, {"start": 2850.82, "end": 2850.84, "word": " طبعاً", "probability": 0.753076171875}, {"start": 2850.84, "end": 2858.98, "word": " طبعا", "probability": 0.81170654296875}, {"start": 2858.98, "end": 2859.82, "word": " طبعا", "probability": 0.77716064453125}, {"start": 2859.82, "end": 2859.82, "word": " طبعا", "probability": 0.947021484375}, {"start": 2859.82, "end": 2860.12, "word": " طبعا", "probability": 0.9541015625}, {"start": 2860.12, "end": 2860.12, "word": " طبعا", "probability": 0.9644775390625}, {"start": 2860.12, "end": 2860.2, "word": " طبعا", "probability": 0.972412109375}, {"start": 2860.2, "end": 2860.24, "word": " طبعا", "probability": 0.977783203125}, {"start": 2860.24, "end": 2860.46, "word": " طبعا", "probability": 0.9805908203125}, {"start": 2860.46, "end": 2860.68, "word": " طبعا", "probability": 0.9820556640625}, {"start": 2860.68, "end": 2860.92, "word": " طبعا", "probability": 0.9832763671875}, {"start": 2860.92, "end": 2860.92, "word": " طبعا", "probability": 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b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/VaNyco13ch0_raw.srt @@ -0,0 +1,2544 @@ +1 +00:00:00,610 --> 00:00:05,670 +الله الرحمن الرحيم حضرتنا اليوم عن tumor + +2 +00:00:05,670 --> 00:00:12,070 +immunology ومشارج + +3 +00:00:12,070 --> 00:00:17,990 +جهاز المناعة against tumor cell طبعا كلنا بنعرف ان + +4 +00:00:17,990 --> 00:00:27,770 +tumor cell has antigen on their surface وبالتالي + +5 +00:00:27,770 --> 00:00:36,130 +these antigens are foreignantigen وبالتالي + +6 +00:00:36,130 --> 00:00:43,430 +الجسم بيعتبرها as foreign cells ولابد من انه يشير + +7 +00:00:43,430 --> 00:00:54,770 +فيه تصدي لهذه الخلايا ال + +8 +00:00:54,770 --> 00:00:55,730 +tumor specific + +9 +00:00:58,510 --> 00:01:02,690 +transplantation antigen هي الانتجنات التي تظهر على + +10 +00:01:02,690 --> 00:01:07,830 +سطح خلايا tumor ووجدوها + +11 +00:01:07,830 --> 00:01:12,390 +in variety of animal species tumor specific + +12 +00:01:12,390 --> 00:01:17,830 +transplantation antigen لان همخش على تعريفات هذه + +13 +00:01:17,830 --> 00:01:23,870 +الانتجنات tumor antigen ممكن تشترك مع ال tumor + +14 +00:01:23,870 --> 00:01:24,290 +cell + +15 +00:01:28,020 --> 00:01:33,300 +تشترك بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +16 +00:01:33,300 --> 00:01:35,480 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +17 +00:01:35,480 --> 00:01:35,880 +مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +18 +00:01:35,880 --> 00:01:39,600 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +19 +00:01:39,600 --> 00:01:43,560 +مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +20 +00:01:43,560 --> 00:01:44,340 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +21 +00:01:44,340 --> 00:01:44,340 +مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف + +22 +00:01:44,340 --> 00:01:50,080 +بشكل مختلف بشكل مختلف بشكل مختلف بشكل مختلف بشكل + +23 +00:01:50,080 --> 00:01:55,800 +مختلف بشكل مهو Demonstration of Tumor-Specific + +24 +00:01:55,800 --> 00:01:59,980 +Antigen of Chemically Induced Tumor أول ما اكتشفوا + +25 +00:01:59,980 --> 00:02:06,400 +ردة فعل جسم الملاعية في ال .. against tumor + +26 +00:02:06,400 --> 00:02:15,560 +antigen من خلال تجربة على ال mice التجربة كانت + +27 +00:02:15,560 --> 00:02:25,710 +كالقاتل عملوا tumorفي الـ mouse من خلال دهن ال + +28 +00:02:25,710 --> 00:02:32,450 +skin of the mouse by methyl chloranthrene وبالتالي + +29 +00:02:32,450 --> 00:02:38,730 +استكون ال tumor they excise the tumor وعملوا منه + +30 +00:02:38,730 --> 00:02:44,990 +tumor cell suspension و بعد هيك they inject the + +31 +00:02:44,990 --> 00:02:50,220 +prepared tumor cell into a new mouseأيضا تكونت + +32 +00:02:50,220 --> 00:02:57,060 +tumor , they excise the tumor و they challenge the + +33 +00:02:57,060 --> 00:03:02,660 +mouse with the same tumor وجدوا انه there is no + +34 +00:03:02,660 --> 00:03:03,760 +tumor growth + +35 +00:03:07,990 --> 00:03:11,330 +Injection of repaired tumor cell into a new + +36 +00:03:11,330 --> 00:03:17,910 +mouseExercise a growing tumor أيضًا Challenge with + +37 +00:03:17,910 --> 00:03:22,510 +different tumor cells With tumor cells نحو الـ + +38 +00:03:22,510 --> 00:03:30,630 +tumor will grow ببساطة خطوات التجربة كانت كالآتي + +39 +00:03:30,630 --> 00:03:36,070 +ذكرناها إنما نشرحها على صورة كالآتي هي عبارة عن + +40 +00:03:36,070 --> 00:03:40,500 +mousewith chemically carcinogenic induced tumor + +41 +00:03:40,500 --> 00:03:48,180 +دهانها ده هو ال skin by ash اللي هو carcinogenic + +42 +00:03:48,180 --> 00:03:53,940 +agent فتكون ال cancer أخدناها و عملنا منها tumors + +43 +00:03:53,940 --> 00:04:00,240 +cell suspension فطبعا + +44 +00:04:00,240 --> 00:04:08,550 +حقلناها للفعل ماشي the samethe same mouse حقنها + +45 +00:04:08,550 --> 00:04:17,410 +اله ثم رجعنا تاني و حطينا اله tumor cell وجدنا ان + +46 +00:04:17,410 --> 00:04:26,890 +ال tumor cell لم تنمو دليل على ان ال tumor cell + +47 +00:04:26,890 --> 00:04:31,490 +اللي دخلت تصدى لها جهاز المناع و كون ال vector + +48 +00:04:31,490 --> 00:04:37,790 +cellعملنا ال tumor مرة تانية ال tumor has been + +49 +00:04:37,790 --> 00:04:44,210 +rejected the same cell هو tumors الحقنها for + +50 +00:04:44,210 --> 00:04:57,290 +syndromic mice بس في هذه الحالة لما لما يعني عملنا + +51 +00:04:57,290 --> 00:05:04,330 +تكون ال tumorلكن لماذا؟ لأنه لم يرى الـ tumor من + +52 +00:05:04,330 --> 00:05:09,650 +قبل هذا الـ mouse لكن لو أخدنا الخلايا المنعية + +53 +00:05:09,650 --> 00:05:12,950 +التي تتكونت جهاز المنع اشتغل و أخدنا الخلايا + +54 +00:05:12,950 --> 00:05:18,430 +المنعية التي تكونت عنده و حقنها في fire تاني من + +55 +00:05:18,430 --> 00:05:22,770 +خلال ده هو adoptively transfer T cell خدنا الخلايا + +56 +00:05:22,770 --> 00:05:24,790 +المنعية المتمثلة بالـ telepathy + +57 +00:05:28,050 --> 00:05:31,230 +عملنا challenge يعني اعطينا .. كوّننا tumor عنده + +58 +00:05:31,230 --> 00:05:35,490 +مرتان يعني نلاقي ان tumor has been eradicated + +59 +00:05:35,490 --> 00:05:41,810 +بمعنى لم تنمو هذه الخلايا يعني الفارق اللي عنده + +60 +00:05:41,810 --> 00:05:44,970 +tumor لما نخلناه بالاداء .. بال .. بال .. بال team + +61 +00:05:44,970 --> 00:05:51,170 +for science اللي اتكونت عنده ماشي فده هو على طول + +62 +00:05:51,170 --> 00:05:59,070 +صار في eradication الأمين لل tumor اللي موجوددليل + +63 +00:05:59,070 --> 00:06:03,650 +على ان في جهاز منها قاعد بيشتغل وانه في علاقة + +64 +00:06:03,650 --> 00:06:10,910 +مثبتة بين ال immune response و tumor cell tumor + +65 +00:06:10,910 --> 00:06:17,930 +immunology هدافها هو معرفة العلاقة ما بين ال host + +66 +00:06:17,930 --> 00:06:22,890 +and tumor ايضا using the immune response to tumor + +67 +00:06:22,890 --> 00:06:29,050 +for diagnosis for prophylaxis and for therapyهو + +68 +00:06:29,050 --> 00:06:36,330 +الانتجين طبعا كيفية تكوينها بتمن خلال mutation + +69 +00:06:36,330 --> 00:06:42,550 +genetic activation clonal amplification + +70 +00:06:42,550 --> 00:06:48,910 +chromosomal deletion and translocationكلها عبارة + +71 +00:06:48,910 --> 00:06:53,730 +عن عمليات بتؤدي إلى mutation وبالتالي بتكوين ل + +72 +00:06:53,730 --> 00:06:57,550 +tumor antigen some tumor antigen are unique to + +73 +00:06:57,550 --> 00:07:02,510 +cancerous يعني فقط موجودة على قلايا السرطانية و + +74 +00:07:02,510 --> 00:07:09,110 +otherهي مشابهة لـ tumor cell antigen يعني موجود + +75 +00:07:09,110 --> 00:07:16,270 +بتشبيه اللي هي ايش ال ال normal cell antigen لكنها + +76 +00:07:16,270 --> 00:07:22,170 +بتغطي الخلايا تغطية كاملة او جزئية and these + +77 +00:07:22,170 --> 00:07:29,430 +either by more expression on cancer cellsلكن صار + +78 +00:07:29,430 --> 00:07:32,710 +فيه expression زيادة عن اللازوم لهذه الانتيجنات + +79 +00:07:32,710 --> 00:07:38,010 +على السطح الخلية السرطاني وامثل على ذلك كثير منها + +80 +00:07:38,010 --> 00:07:41,470 +ال human epidermal growth factor الريسبتور اللي + +81 +00:07:41,470 --> 00:07:45,370 +بيزيد ال expression تبعه في ال ovarian and breast + +82 +00:07:45,370 --> 00:07:51,190 +cancer بعض ال tumor antigen are present on + +83 +00:07:51,190 --> 00:07:55,170 +embryonic cell لكنها مش موجودة على ال normal other + +84 +00:07:55,170 --> 00:08:01,190 +cells زي ال oncofetal antigenطمور الانتجين يمكن أن + +85 +00:08:01,190 --> 00:08:05,850 +يكون مصادر من الجنة المتوسطة أيضا دليل على انه في + +86 +00:08:05,850 --> 00:08:10,610 +موقعات حرارة للتغيير وهناك + +87 +00:08:10,610 --> 00:08:11,710 +قليل من عملية عملية عملية عملية عملية عملية عملية + +88 +00:08:11,710 --> 00:08:12,030 +عملية عملية عملية عملية عملية عملية عملية عملية + +89 +00:08:12,030 --> 00:08:14,290 +عملية عملية عملية عملية عملية عملية عملية عملية + +90 +00:08:14,290 --> 00:08:14,990 +عملية عملية عملية عملية عملية عملية عملية عملية + +91 +00:08:14,990 --> 00:08:14,990 +عملية عملية عملية عملية عملية عملية عملية عملية + +92 +00:08:14,990 --> 00:08:14,990 +عملية عملية عملية عملية عملية عملية عملية عملية + +93 +00:08:14,990 --> 00:08:15,510 +عملية عملية عملية عملية عملية عملية عملية عملية + +94 +00:08:15,510 --> 00:08:15,510 +عملية + +95 +00:08:21,440 --> 00:08:24,420 +التي تسبب في تحويل التمر بشكل خاطئ مثل الـ + +96 +00:08:24,420 --> 00:08:30,680 +Ultraviolet والـ X-ray إرادياشي كارسينوجين يمكن أن + +97 +00:08:30,680 --> 00:08:35,840 +يسبب فيه تحويل كلوني كارسينوجين يعمل تحويل كلوني + +98 +00:08:35,840 --> 00:08:42,000 +لجسيمين فقط اللي بسبب تحويل جينات يمتلئ مصادر + +99 +00:08:42,000 --> 00:08:42,320 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +100 +00:08:42,320 --> 00:08:43,620 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +101 +00:08:43,620 --> 00:08:45,860 +مصادر مصادر مصادر مصادر مصادر مصادر مصادر مصادر + +102 +00:08:45,860 --> 00:08:50,670 +مصادر مصادر مصادر مصادر مصادر مصادربتؤدي الى ايش + +103 +00:08:50,670 --> 00:08:57,930 +عملة clonal amplification لخلية ماشي ليش لأنه + +104 +00:08:57,930 --> 00:09:04,150 +الجينات اللي بتحتوي على تفرع واحدة ماشي هي اللي + +105 +00:09:04,150 --> 00:09:08,110 +عملت clonal amplification carcinogen مرة تانية + +106 +00:09:08,110 --> 00:09:14,550 +بيؤدي الى mutation ماشي of genesوبالتالي هذه + +107 +00:09:14,550 --> 00:09:19,170 +الجينات التي تحمل بيها بواسطة خلايا معينة تدّي + +108 +00:09:19,170 --> 00:09:22,870 +نقلولة ال amplification of the single cell + +109 +00:09:22,870 --> 00:09:28,450 +المتحسسة للميوتيشن tumor antigen are well + +110 +00:09:28,450 --> 00:09:33,330 +demonstrated by virusesكمان بعض الفيروسات virus + +111 +00:09:33,330 --> 00:09:39,570 +induced tumor بيسموهم oncogenic viruses وهذه بتأدى + +112 +00:09:39,570 --> 00:09:44,910 +الى طبعا اظهرت cross reactivity among tumors + +113 +00:09:44,910 --> 00:09:54,010 +induced by the same viruses وجدول التالي بيبينلنا + +114 +00:09:54,010 --> 00:09:59,440 +انواع tumor antigenزي ما انتوا شايفين في embryonic + +115 +00:09:59,440 --> 00:10:04,000 +قلنا تظهر الانكوفيتال انتيجين زي ال melanoma + +116 +00:10:04,000 --> 00:10:11,960 +associated gene اللي هو رقم واحد واتنين زي ال + +117 +00:10:11,960 --> 00:10:14,820 +carcinogenic embryonic antigen زي ال alpha + +118 +00:10:14,820 --> 00:10:20,730 +-phytoprotein كلها عبارة عناللي هو انتيجنات بتظهر + +119 +00:10:20,730 --> 00:10:25,290 +على overexpressed المفروض انها بتظهر على ال + +120 +00:10:25,290 --> 00:10:27,930 +embryonic life لكنها بتظهر على ال tumor cell + +121 +00:10:27,930 --> 00:10:35,270 +differentiation زي prostate specific antigen و + +122 +00:10:35,270 --> 00:10:41,830 +التيرونيزين و ال human epidermal growth factor + +123 +00:10:41,830 --> 00:10:47,710 +ماشي و يبعد ال antigenات زي ال alwaysهناك الـ + +124 +00:10:47,710 --> 00:10:50,290 +Clonal Amplification وهناك الـ Point Immutation، + +125 +00:10:50,290 --> 00:10:54,550 +تتركدوا فيهم واحد و واحد Normal Cellular Gene + +126 +00:10:54,550 --> 00:11:00,290 +Products Expressed During Embryogenesis هذا أول + +127 +00:11:00,290 --> 00:11:03,710 +واحد اللي قلنا اللي هو الـ Oncofetal Antigen زي + +128 +00:11:03,710 --> 00:11:06,830 +الـ Melanoma Associated Antigen + +129 +00:11:10,100 --> 00:11:15,100 +و طبعا هذه عبارة عن انتجنات ممكن نشتغلها نستخدمها + +130 +00:11:15,100 --> 00:11:19,820 +ك vaccine لأنه their expression is shared يعني + +131 +00:11:19,820 --> 00:11:28,060 +بتشترك كل الميلانومة بوجود هذه الانتجنات فاحنا + +132 +00:11:28,060 --> 00:11:31,920 +عشان نشتغل جهاز المناورة ممكن ناخدها و طبعا نحقنها + +133 +00:11:31,920 --> 00:11:37,720 +كانتجنات بالتالي بعد طبعا ما نعملها + +134 +00:11:38,900 --> 00:11:43,320 +Inactivation وبالتالي بنشر جهاز المناع من خلاله + +135 +00:11:43,320 --> 00:11:48,860 +Carcinogenic Carcino embryonic antigen CEA طبعا + +136 +00:11:48,860 --> 00:11:54,420 +وجدوه يعني هذا عبارة عن protein غالبا found in + +137 +00:11:54,420 --> 00:12:00,800 +serum of patient with cancer of GIT زي ال colon + +138 +00:12:00,800 --> 00:12:10,650 +cancerوزيادة ال level of CAA وجدوها في الأمراض + +139 +00:12:10,650 --> 00:12:14,630 +أخرى غير اللي هو ال colon cancer اللي هي non + +140 +00:12:14,630 --> 00:12:18,970 +specific or non neoplastic diseases زي ال + +141 +00:12:18,970 --> 00:12:24,190 +ulcerative colitis و ال pancreatitis الناس دولة + +142 +00:12:24,190 --> 00:12:29,750 +they don't have cancer وبالتالي this test is non + +143 +00:12:29,750 --> 00:12:36,000 +specificألفا فيتو بروتين هذا normally present at + +144 +00:12:36,000 --> 00:12:40,580 +high concentration في الـ fetal maternal serum و + +145 +00:12:40,580 --> 00:12:47,220 +it's absent في ال normal adult individual لكنه + +146 +00:12:47,220 --> 00:12:53,340 +موجود في الناس اللي عندهم hepatoma and testicular + +147 +00:12:53,340 --> 00:12:56,340 +teratocarcinoma + +148 +00:12:59,290 --> 00:13:04,150 +الثاني هو الـ Mutant Cellular Gene Product ناتج عن + +149 +00:13:04,150 --> 00:13:09,370 +ميوتيشن جين صار له ميوتيشن وفي أمثلة كثيرة على ذلك + +150 +00:13:09,370 --> 00:13:15,110 +منها في الـCML التاريزين كاينيز activity بتزيد + +151 +00:13:15,110 --> 00:13:20,510 +وبالتالي بيصير فيه اللي هو uncontrolled cellular + +152 +00:13:20,510 --> 00:13:25,650 +proliferation ولو استخدمنا inhibitor للجين تبع ال + +153 +00:13:25,650 --> 00:13:33,490 +PCR APLالجين الكايمريكي اللي يتكوّن في الـCML أو + +154 +00:13:33,490 --> 00:13:39,150 +ما يسمى بالفيلاديلفيا كرومازون اتشون + +155 +00:13:39,150 --> 00:13:43,270 +اي promise for inducing a complete hematological + +156 +00:13:43,270 --> 00:13:49,150 +response لو في نجاح تم باستخدام الـinhibitor في + +157 +00:13:49,150 --> 00:13:57,770 +عملية كبح جماح اللي هو الـCML diseaseطبعا و اليوم + +158 +00:13:57,770 --> 00:14:03,750 +بيعتبروها targeting therapy اليوم يعني أظهر نجاحات + +159 +00:14:03,750 --> 00:14:08,910 +كثيرة و مرضى سيأمال استغنوا غالبا عن ال + +160 +00:14:08,910 --> 00:14:13,930 +chemotherapy المثال + +161 +00:14:13,930 --> 00:14:19,610 +الآخر عن mutant cellular gene هو ال mutation اللي + +162 +00:14:19,610 --> 00:14:25,050 +بتسير في ال P53 protein طبعا ال P53 mutation + +163 +00:14:29,510 --> 00:14:35,210 +بتظهر بتظهر ان it changes in p53 يعني النتيجة + +164 +00:14:35,210 --> 00:14:42,770 +changes in p53 و ال protein اللي بيتكونغالبا + +165 +00:14:42,770 --> 00:14:47,170 +بيشتغل as a suppressor of cellular growth هذا في + +166 +00:14:47,170 --> 00:14:55,510 +الوضع الطبيعي ان ال P53 code for protein بيعمل + +167 +00:14:55,510 --> 00:15:03,870 +stopping لل ash لل cell cycle at certain ash stage + +168 +00:15:03,870 --> 00:15:08,650 +يوم يصير فيه خلل بيوقفاليوم يصير فيه ميوتيشن بيطلع + +169 +00:15:08,650 --> 00:15:12,730 +لنا بروتين أصلا فيه ميوتيشن اللي ممكن يعمل يشتغل + +170 +00:15:12,730 --> 00:15:20,670 +السبرس والسليجراث tumor immunity in vivo can be + +171 +00:15:20,670 --> 00:15:25,710 +induced by vaccination against newton p53 peptide + +172 +00:15:25,710 --> 00:15:35,450 +لو اعطوا ال p53 peptide مع ال I L 12 بيعتبر هذا ك + +173 +00:15:35,450 --> 00:15:36,190 +vaccine + +174 +00:15:39,970 --> 00:15:43,250 +ووجدوا ان الـ T lymphocyte directed against normal + +175 +00:15:43,250 --> 00:15:47,090 +B53 might preferentially destroy a tumor cell طبعا + +176 +00:15:47,090 --> 00:15:49,970 +هذا الكلام بنشهد ال T lymphocyte وT lymphocyte + +177 +00:15:49,970 --> 00:15:53,610 +بتهاجم ال tumor cell هو بالتالي ممكن يستخدم ك + +178 +00:15:53,610 --> 00:16:01,770 +vaccine هو و ILD12 مع بعض من حقنه مع بعض تلاتة + +179 +00:16:01,770 --> 00:16:05,310 +tumor antigen encoded by oncogen طبعا كلنا بنعرف + +180 +00:16:05,310 --> 00:16:08,830 +ان ال oncogen هو عبارة عن + +181 +00:16:13,680 --> 00:16:19,240 +وبالتالي جاي بعد ما صار فيه mutation في ال normal + +182 +00:16:19,240 --> 00:16:23,020 +gene و ال normal gene بيسموه proto-oncogen اللي + +183 +00:16:23,020 --> 00:16:28,160 +يوم ما يتحول ل proto-oncogen ل C-oncogen + +184 +00:16:30,930 --> 00:16:35,950 +بيتكون اللي هو as a mutation طبعا as a result of + +185 +00:16:35,950 --> 00:16:42,990 +mutation بيصير فيه اللي هو tumor و طبعا فيه سجلة + +186 +00:16:42,990 --> 00:16:48,050 +حالات كثيرة من خلال علاقة ال tumor او ال viruses + +187 +00:16:48,050 --> 00:16:51,890 +بالاش بال + +188 +00:16:55,500 --> 00:17:02,580 +أي هدا هي نظرية الانكوجين تقترح أو postulate that + +189 +00:17:02,580 --> 00:17:06,780 +such proto-ankogen يوم بسله mutation or activation + +190 +00:17:06,780 --> 00:17:10,300 +display increased expression or inappropriate + +191 +00:17:10,300 --> 00:17:14,440 +expression بسلهincreased او inappropriate + +192 +00:17:14,440 --> 00:17:18,500 +expression للـ mutated form of their gene a + +193 +00:17:18,500 --> 00:17:22,480 +product وبالتالي بيساهم كثير في تحويل الخلايا + +194 +00:17:22,480 --> 00:17:28,100 +الطبيعية الى خلايا سرطانية و اللي بيتكون cancer + +195 +00:17:28,100 --> 00:17:31,680 +طبعا عملية ال mutation بتتم من خلال ال chromosomal + +196 +00:17:31,680 --> 00:17:34,640 +translocation point limitation gene amplification + +197 +00:17:34,640 --> 00:17:43,250 +و هكذا وهذه حالات كثيرةماشي صار فيها activation لـ + +198 +00:17:43,250 --> 00:17:48,130 +cellular proto-oncogen in a human أي CMEC صار له + +199 +00:17:48,130 --> 00:17:56,170 +Genetic Rearrangement و تغيرت صار فيه + +200 +00:17:56,170 --> 00:17:59,410 +Translocation ما بين كلمزومات تمانية و أربعاش أو + +201 +00:17:59,410 --> 00:18:02,190 +تمانية و اتنين او تمانية و اتنين و عشرين و عملوا + +202 +00:18:02,190 --> 00:18:08,860 +حاجة بيسموها Perkins lymphomaCAPL أيضًا صرله + +203 +00:18:08,860 --> 00:18:12,920 +Genetic Transformation أو Rearrangement من خلال + +204 +00:18:12,920 --> 00:18:17,940 +Translocation ما بين كرومزوم 9 و22 وعمل CML وكذا + +205 +00:18:17,940 --> 00:18:24,800 +CH راس CK راس مجموعة الراس و الانمك برضه كلهم + +206 +00:18:24,800 --> 00:18:30,000 +بيكونوا different types of tumor مثلًا + +207 +00:18:30,000 --> 00:18:35,080 +البروتوانكوجينهذه هي يوم ما صار في activation لـ C + +208 +00:18:35,080 --> 00:18:43,020 +-Myc C-A-B-L C-K كيرهز امتزيست جينز are associated + +209 +00:18:43,020 --> 00:18:47,680 +with Perkins lymphomasium الانلانكول اوركولون + +210 +00:18:47,680 --> 00:18:55,700 +كارسينوما بالترتيب الدراسات على الحيوان ايضا اظهرت + +211 +00:18:55,700 --> 00:19:04,150 +ان ان في علاقة مباشرة ما بينالانكوجينيك ويروس وما + +212 +00:19:04,150 --> 00:19:11,090 +بين cross reactivity وطبعا امر طبيعي جدا لان ال + +213 +00:19:11,090 --> 00:19:17,710 +virus الانكوجينيك ويروس يعني بيعمل expression of + +214 +00:19:17,710 --> 00:19:24,190 +ال antigenاته على ال tumor cell بغض النظر على موقع + +215 +00:19:24,190 --> 00:19:28,830 +الخلايا اللي صار اللي لها tumor او نوع ال animal + +216 +00:19:28,830 --> 00:19:35,240 +speciesو زى ما قلنالكم في دلائل او في سجلة حالات + +217 +00:19:35,240 --> 00:19:41,600 +كثيرة مثبتة على علاقة اللى هو ال viruses بال tumor + +218 +00:19:41,600 --> 00:19:47,200 +زى ال Epstein-Barr Virus بيعمل اللى هو ال ال human + +219 +00:19:47,200 --> 00:19:51,520 +T cell leukemia virus و ال human papilloma virus + +220 +00:19:51,520 --> 00:19:54,820 +الأولانى بيعمل Perkins والتانى بيعمل leukemia + +221 +00:19:54,820 --> 00:19:57,840 +والتالت بيعمل cervical tumor + +222 +00:20:01,280 --> 00:20:06,980 +ما هي العوامل التي تؤثر في ال incidence of cancer + +223 +00:20:06,980 --> 00:20:15,520 +قالوا في مصطلح اسمه ال immune ال immune + +224 +00:20:15,520 --> 00:20:20,270 +surveillance والمصطلح هذا يعنيإنه فيه + +225 +00:20:20,270 --> 00:20:22,990 +immunological resistance against the development + +226 +00:20:22,990 --> 00:20:32,150 +of cancer الجسم يتصدى إلى ال tumor من خلال جهاز + +227 +00:20:32,150 --> 00:20:37,490 +المانعة ومن الناس اللي ما عندهمش مانعة عندهم + +228 +00:20:37,490 --> 00:20:40,590 +immunodeficiency disease usually are susceptible + +229 +00:20:40,590 --> 00:20:45,070 +to viral infection and certain malignant neoplasm + +230 +00:20:52,140 --> 00:20:59,480 +طبعا ال tumor cell اللي بتتكون خلال virus are + +231 +00:20:59,480 --> 00:21:04,420 +sensitive to immunologic destruction ومع ذلك ال + +232 +00:21:04,420 --> 00:21:07,400 +natural development of immunological response + +233 +00:21:07,400 --> 00:21:10,600 +usually fail to prevent cancer from developing + +234 +00:21:10,600 --> 00:21:16,060 +يعني صحيح جهاز الملعب بيشتغل لكن ومع ذلك السرطان + +235 +00:21:16,060 --> 00:21:25,020 +او ال tumor cell بتنجح فيهفي إدها تنمو وتتطور يعني + +236 +00:21:25,020 --> 00:21:31,320 +بنأمل في المستقبل أن يكون فيه good + +237 +00:21:31,320 --> 00:21:36,720 +response example by vaccination with tumor antigen + +238 +00:21:36,720 --> 00:21:41,280 +that will serve as viable option for prevention or + +239 +00:21:41,280 --> 00:21:47,490 +treatment of cancer in the futureEffect of + +240 +00:21:47,490 --> 00:21:50,770 +Mechanism in Tumor Immunology ما هي الميكانيزمات + +241 +00:21:50,770 --> 00:21:55,690 +وجدوا انه both Adaptive و Innate Immune Response + +242 +00:21:55,690 --> 00:22:01,970 +بلعبوا دور كبير و في العلاقة ما بين ال host و ال + +243 +00:22:01,970 --> 00:22:08,290 +tuner Immune Effect of Mechanism وجدت وجدوها ان it + +244 +00:22:08,290 --> 00:22:13,760 +can destroy tumor cell in vitroبالتجربة تتمثل في + +245 +00:22:13,760 --> 00:22:18,280 +الـ Antibody في الـ D-cell، الـ NK-cell، الـ Lact + +246 +00:22:18,280 --> 00:22:22,240 +-cell، الـ Macrophagin، الـCytokine كلها أبارع عن + +247 +00:22:22,240 --> 00:22:27,660 +ميكانيزمات أثبتت in vitro بإنها بتدمر الخلايا + +248 +00:22:27,660 --> 00:22:33,860 +السرطانية وهي الـ Antibody و الـ B-cell على سبيل + +249 +00:22:33,860 --> 00:22:36,820 +المثال في وجود كومبلي بتكون Antibody في وجود + +250 +00:22:36,820 --> 00:22:43,040 +كومبلي منتجات أو Optionizationالان ميكانيزم مفهوم + +251 +00:22:43,040 --> 00:22:46,980 +بشكل كام تسل + +252 +00:22:46,980 --> 00:22:49,460 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +253 +00:22:49,460 --> 00:22:53,260 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +254 +00:22:53,260 --> 00:22:58,100 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +255 +00:22:58,100 --> 00:22:58,100 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +256 +00:22:58,100 --> 00:22:58,100 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +257 +00:22:58,100 --> 00:23:01,720 +تسل تسل تسل تسل تسل تسل تسل + +258 +00:23:01,720 --> 00:23:05,360 +تسل + +259 +00:23:07,310 --> 00:23:14,930 +ووجدوها كثير قوية على الخلايا الـ dispersed اللي + +260 +00:23:14,930 --> 00:23:21,030 +هي المنفصلة على ال cell suspension ووجدوا فعاليتها + +261 +00:23:21,030 --> 00:23:26,890 +اكتر بكثير على هذه الخلايا المنفصلة اكتر من ال + +262 +00:23:26,890 --> 00:23:31,250 +solid tumor اللي هو بيكون متماسك ليش؟ لأن جهاز + +263 +00:23:31,250 --> 00:23:33,850 +المناع يستطيع ان يصل الى هذه الخلايا + +264 +00:23:37,530 --> 00:23:43,770 +من الـ Solid Tumour Cells نشوف أول ميكانيزم اللي + +265 +00:23:43,770 --> 00:23:49,890 +هو PCR Response لـ Tumour وجدوا أن IgPo, IgM و IgG + +266 +00:23:49,890 --> 00:23:55,690 +Antibody وجدوها in vitro can kill or destroy the + +267 +00:23:55,690 --> 00:24:00,450 +tumour cell طبعا في وجود ال complement طبعا هذا + +268 +00:24:00,450 --> 00:24:07,370 +الكلام أثبتناه بالتجربة in vitroالدراسات على + +269 +00:24:07,370 --> 00:24:15,830 +المايس ايضا اثبتت Indicate بتؤشر او بتدل على ان ال + +270 +00:24:15,830 --> 00:24:19,350 +Antitumor Antibody are effective in destroying + +271 +00:24:19,350 --> 00:24:25,250 +some leukemia and lymphoma وطبعا بتقلل من ال + +272 +00:24:25,250 --> 00:24:31,710 +metastasis in several other tumors system تنسوش + +273 +00:24:31,710 --> 00:24:37,780 +انه احنا هنحكي علىتجارب حدثت in vitro وليس in vivo + +274 +00:24:37,780 --> 00:24:43,860 +اخر حدث طبعا اثبتت ان هذه الانتيبادي لا تأثير لها + +275 +00:24:43,860 --> 00:24:50,500 +ولا بتبتل خلايا سرطانية ماشي اذا كان ال tumor in + +276 +00:24:50,500 --> 00:24:55,820 +solid form يوم ما يكون ال tumor in solid formبكازم + +277 +00:24:55,820 --> 00:24:58,760 +تاني destruction of tumor cell by opsonization of + +278 +00:24:58,760 --> 00:25:02,320 +phagocytosis كلنا بنعرف أنه الخلية الغريبة بقى + +279 +00:25:02,320 --> 00:25:05,960 +تكون لها antibody و بقعد على سطح الخلايا مرات و + +280 +00:25:05,960 --> 00:25:11,240 +بيصير كون و بيعمل opsonization لهذه الخلية طبعا + +281 +00:25:11,240 --> 00:25:15,240 +تتعرف عليها ال phagocytic cell و بتخلصنا منهاIn + +282 +00:25:15,240 --> 00:25:23,980 +vitro destruction of tumor cell بواسطة Trigocytic + +283 +00:25:23,980 --> 00:25:28,780 +cell أصلا قتل + +284 +00:25:28,780 --> 00:25:32,900 +أو عمل destruction لل tumor cell في وجود ال ant + +285 +00:25:32,900 --> 00:25:39,360 +tumor اللي هو immune serum and complement ميكانيزم + +286 +00:25:39,360 --> 00:25:43,220 +تالت Antibody-mediated loss of adhesion properties + +287 +00:25:43,220 --> 00:25:52,080 +of tumor cellالـ Adhesion Molecule لازم تتحلل + +288 +00:25:52,080 --> 00:25:56,540 +عشان يصير فيه متاستاسيس + +289 +00:25:56,540 --> 00:26:01,300 +متاستاسيس اكتفية مختلفة عن مخلوق مخلوق مخلوق مخلوق + +290 +00:26:01,300 --> 00:26:06,240 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +291 +00:26:10,100 --> 00:26:15,140 +عشان ترتبط بخلايا او بانسجة اخرى موجودة في اماكن + +292 +00:26:15,140 --> 00:26:19,300 +اخرى وبالتالي بيحصل فيه metastasis ال antibody + +293 +00:26:19,300 --> 00:26:24,220 +الموجهة ضد هذه الـ tumor cell surfaces can + +294 +00:26:24,220 --> 00:26:28,080 +interfere with the adhesive properties وهذا الكلام + +295 +00:26:28,080 --> 00:26:33,200 +ايضا done in vitro cell mediated responses + +296 +00:26:33,200 --> 00:26:38,100 +destruction by cytotoxic T lymphocytes ايضا + +297 +00:26:38,100 --> 00:26:44,150 +اثبتناها in vitroهي مسؤولة عن هذه الخلايا ومسؤولة + +298 +00:26:44,150 --> 00:26:52,830 +عن إدارة تمر سل بوريا في الواقعطبعا الـ Antibody + +299 +00:26:52,830 --> 00:26:55,890 +Dependent Cell Mediated Cytotoxicity دي عبارة عن + +300 +00:26:55,890 --> 00:27:01,870 +ميكانيزم بتمن خلال ارتباط ال .. ال .. ال .. ال .. + +301 +00:27:01,870 --> 00:27:06,090 +Phagocytic Cell بال Fc Portion of Antibody اللي + +302 +00:27:06,090 --> 00:27:09,670 +جاعد على سطح الخلية السرطانية، بالتالي بيصير في + +303 +00:27:09,670 --> 00:27:14,510 +cell to cell contact و بيصير في releasing ل ال + +304 +00:27:14,510 --> 00:27:20,050 +substance which can kill the tumor cellاستركشن of + +305 +00:27:20,050 --> 00:27:31,790 +tumors by NK or NKT or لأكسل التلاتة ماشي لا علاقة + +306 +00:27:31,790 --> 00:27:35,650 +طبعا كنا بنعرف انه خلاص ان الانكسل تتحسس اللي هو + +307 +00:27:38,140 --> 00:27:42,000 +موليكيول على سطح الخلايا تيومر سيل غالبا تعمل + +308 +00:27:42,000 --> 00:27:46,620 +shading تعمل masking ل اللي هو ال MSC موليكيول + +309 +00:27:46,620 --> 00:27:52,520 +وبالتالي تتعرف عليها اللي هو الانكسل أيضا الانكسل + +310 +00:27:52,520 --> 00:27:56,960 +have receptor لل FC portion of IGG وبالتالي من + +311 +00:27:56,960 --> 00:28:04,500 +خلال ADCC ممكن تتخلص من ال tumor cellبمجرد ما + +312 +00:28:04,500 --> 00:28:07,680 +ترتبط بتفرز ال tumor لإن كي cell tumor necrosis + +313 +00:28:07,680 --> 00:28:13,120 +factor α و اللي بيعملهم ورجو tumor necrosis ال lag + +314 +00:28:13,120 --> 00:28:18,820 +أيضا هي عبارة عن tumor specific killer cells و + +315 +00:28:18,820 --> 00:28:22,660 +ممكن نستنبطها أو ناخدها من بعض المرضى اللي عندهم + +316 +00:28:22,660 --> 00:28:29,400 +tumorبنميها برا في وجود IL-2 ونرجعها تاني للمريض + +317 +00:28:29,400 --> 00:28:36,920 +نفسه هدولة بنشطه اللي هو الـ mechanism اللي بنحكي + +318 +00:28:36,920 --> 00:28:40,580 +عنه سواء كان ADCC او Direct Killing By Ankyl Cell + +319 +00:28:40,580 --> 00:28:43,600 +Destruction + +320 +00:28:43,600 --> 00:28:46,300 +of tumor cell by activated macrophage and + +321 +00:28:46,300 --> 00:28:50,800 +neutrophil طبعا كلنا بنعرف ان ال macrophage بتتنشط + +322 +00:28:51,320 --> 00:28:57,540 +by releasing gamma interferon التشتت من خلال TCD4 + +323 +00:28:57,540 --> 00:29:08,620 +lymphocytes وطبعا ال gamma interferon له tumor + +324 +00:29:08,620 --> 00:29:15,280 +specific بيستخدم + +325 +00:29:15,280 --> 00:29:16,480 +ك cytotoxic + +326 +00:29:20,430 --> 00:29:26,630 +Cytokine against tumor cell ايضا بإطلاق لازوزايم + +327 +00:29:26,630 --> 00:29:30,730 +ونكروس فاكتوره الفا بيقتلوا tumor cell + +328 +00:29:35,370 --> 00:29:38,730 +أما تعمل Inhibition أو تعمل Growth لـPremarignant + +329 +00:29:38,730 --> 00:29:44,050 +وTumorignant Cell طبعاً نعرف أنه فيه Cytokine + +330 +00:29:44,050 --> 00:29:47,650 +Inhibitor وCytokine وفيه Stimulatory Transformed + +331 +00:29:47,650 --> 00:29:51,350 +Growth Factor Beta واحد من الـCytokine اللي بيعمل + +332 +00:29:51,350 --> 00:29:56,990 +Inhibition لل immune response وبالتالي بيصير فيه + +333 +00:29:56,990 --> 00:30:04,460 +promotion لل tumor growth في هذه الحالة و بيالو + +334 +00:30:04,460 --> 00:30:08,980 +انجيوجينيك بمعنى + +335 +00:30:08,980 --> 00:30:16,720 +انه بيسهل في عملية نمو الكانسر من خلال اللي هو + +336 +00:30:16,720 --> 00:30:23,120 +تكوين الانجيوجينيسي اللي هو blood vessels to the + +337 +00:30:23,120 --> 00:30:25,360 +tumor cell + +338 +00:30:27,510 --> 00:30:32,910 +Tumor Microsfactory و Interferon جعما أيضا لهم + +339 +00:30:32,910 --> 00:30:37,770 +Anti-Tumor Effect ليش؟ لأنهم بيعملوا Upregulation + +340 +00:30:37,770 --> 00:30:44,190 +لل MSC Class 1 و2 وبالتالي جهاز المنعب يتعرف عليهم + +341 +00:30:44,190 --> 00:30:48,590 +بسهولة يوم ما يحصل فيه Decrease expression للMSC + +342 +00:30:48,590 --> 00:30:54,770 +Determinants على سطح ال tumor cell بيكون وسيلة من + +343 +00:30:54,770 --> 00:30:59,450 +وسائل تهرب الخلية السرطانيةfrom the action of + +344 +00:30:59,450 --> 00:31:05,450 +cytokine transfection + +345 +00:31:05,450 --> 00:31:12,470 +of tumor cell with genes coding for cytokine زي IL + +346 +00:31:12,470 --> 00:31:21,430 +-117 وقام انترفيرون ماشي و بعد ذلك رجعهم ماشي + +347 +00:31:21,430 --> 00:31:22,290 +للمريض + +348 +00:31:25,210 --> 00:31:32,150 +أولى ال tumor-pairing mice أظهرت نتائج جيدة في + +349 +00:31:32,150 --> 00:31:38,150 +الانهيبشن of growth of tumor طيب، + +350 +00:31:38,150 --> 00:31:43,430 +إيش ال limitation of effectiveness of immune + +351 +00:31:43,430 --> 00:31:47,090 +response against tumor؟ كلنا بنعرف أنه مع وجود + +352 +00:31:47,090 --> 00:31:54,710 +immune response لأن tumor cell أو tumor can growو + +353 +00:31:54,710 --> 00:32:02,310 +بيتغلب على الجهاز المنعليش نشوف ايوة there is no + +354 +00:32:02,310 --> 00:32:05,430 +question انه في وجود ال immune response ال immune + +355 +00:32:05,430 --> 00:32:13,050 +response بيكون شغال في وجود ال tumor لكن بالرغم + +356 +00:32:13,050 --> 00:32:20,350 +ذلك ال tumor continue to grow و طبعا درسوا عدة + +357 +00:32:20,350 --> 00:32:21,330 +ميكانيزمات + +358 +00:32:23,960 --> 00:32:35,180 +طبعا هذه بتتعلق بال tumor cell او ب tumor and host + +359 +00:32:35,180 --> 00:32:38,380 +relationship + +360 +00:32:38,380 --> 00:32:44,360 +نشوف الميكانيزمات اللي بتتعلق بال tumorيقول إن من + +361 +00:32:44,360 --> 00:32:47,540 +واحد failure of tumor to provide suitable target + +362 +00:32:47,540 --> 00:32:52,040 +يعني كيف تتعرف يتعرف عليها جهاز المناعة بده يكون + +363 +00:32:52,040 --> 00:32:56,060 +فيه target بده يكون فيه antigen نشوف الوسائل التي + +364 +00:32:56,060 --> 00:33:01,640 +تتهرب من خلالها ال tumor cell from the immune + +365 +00:33:01,640 --> 00:33:06,020 +response يقول إن من واحد تاكوب antigen كيبته بتطيع + +366 +00:33:06,020 --> 00:33:10,050 +كل ال antigenات اللي على سطحها وبالتاليكل ال tumor + +367 +00:33:10,050 --> 00:33:13,550 +انتيجين مش موجودة فكيبري اتعرف عليها جزء منها نمر + +368 +00:33:13,550 --> 00:33:16,770 +اتنين lack of a C class one molecule طب ما هو دي + +369 +00:33:16,770 --> 00:33:21,970 +عبارة عن presenting molecule للانتيجين deficient + +370 +00:33:21,970 --> 00:33:25,510 +of antigen processing اصلا مافيش انتيجين عشان + +371 +00:33:25,510 --> 00:33:29,770 +نعمله processing antigenic modulation بيغير الجهاز + +372 +00:33:29,770 --> 00:33:36,270 +الخلية السرطانية في الانتيجين باستمرار فبالتالي + +373 +00:33:36,270 --> 00:33:41,000 +بيصير في ايه؟خلل في التعرف عليه antigenic masking + +374 +00:33:41,000 --> 00:33:46,740 +of the tumor يوم يغطي الانتجين كورونا الخلية + +375 +00:33:46,740 --> 00:33:51,420 +السرطانية برضه لاتستطيع ان تتعرف عليها resistance + +376 +00:33:51,420 --> 00:33:55,260 +of tumor cell to tumor seedal effector pathway بعد + +377 +00:33:55,260 --> 00:34:01,540 +الخلية السرطانية بتقاوم any اللي هو tumor seedal + +378 +00:34:01,540 --> 00:34:02,620 +effector pathway + +379 +00:34:05,230 --> 00:34:10,050 +فالنوع التاني او العامل التاني failure of tumor to + +380 +00:34:10,050 --> 00:34:18,910 +induce ineffective immune response طبعا زي ما + +381 +00:34:18,910 --> 00:34:29,170 +قولنا بصير فيه فشل في اللي هو تكوين ال immune + +382 +00:34:29,170 --> 00:34:29,890 +response + +383 +00:34:32,510 --> 00:34:36,530 +وطبعا وجود ال tumor يعني انه لازم يصير فيه + +384 +00:34:36,530 --> 00:34:40,450 +response بعض المرات بيفشل ال tumor في تحقيق هذه + +385 +00:34:40,450 --> 00:34:43,930 +الظاهرة بسبب في ذلك lack of antigenic epitopes + +386 +00:34:43,930 --> 00:34:48,770 +مافيش epitopes نمرة اتنين decrease MSC or tumor + +387 +00:34:48,770 --> 00:34:52,970 +antigen expression نمرة تلاتة مافيش costimulatory + +388 +00:34:52,970 --> 00:34:56,570 +signalنمرة أربعة production of inhibitory + +389 +00:34:56,570 --> 00:35:02,390 +substance هي بعض الصيتركاين اللي هنشوفها نمرة خمسة + +390 +00:35:02,390 --> 00:35:07,230 +shedding of tumor antigen in the surrounding area + +391 +00:35:07,230 --> 00:35:10,690 +او in the blood وبالتالي بيصير في tolerance لل + +392 +00:35:10,690 --> 00:35:18,250 +antigen في الجسمنمرة ستة اللي هو induction of T + +393 +00:35:18,250 --> 00:35:24,550 +cell signaling defect by tumor burden مافيش cell + +394 +00:35:24,550 --> 00:35:32,170 +signal طيب هذا مايتعلق بال tumor نشوف مايتعلق بإيش + +395 +00:35:32,170 --> 00:35:35,050 +بالـ host + +396 +00:35:46,230 --> 00:35:50,450 +failure of the host to respond to antigenic tumor + +397 +00:35:50,450 --> 00:35:54,430 +قالوا بعد مرات بيكون فيه neuro suppression or + +398 +00:35:54,430 --> 00:36:01,530 +deficiency of the host باشي بتشمل ابكتوزيس و + +399 +00:36:01,530 --> 00:36:05,810 +signaling defect of the T cell والسبب في ذلك وجود + +400 +00:36:05,810 --> 00:36:08,470 +كارسينوجينيك agent وان كان physical or chemical + +401 +00:36:08,470 --> 00:36:15,410 +agent or infection or even ageأه يعني الناس + +402 +00:36:15,410 --> 00:36:19,030 +الاختيارية كمان ممكناش نمرة اتنين deficient + +403 +00:36:19,030 --> 00:36:22,170 +presentation of tumor antigen مافي by the host + +404 +00:36:22,170 --> 00:36:24,530 +antigen presenting cell ماقدرتش ال antigen + +405 +00:36:24,530 --> 00:36:28,430 +presenting cell اللي هو تعمل antigen presentation + +406 +00:36:28,430 --> 00:36:33,070 +لل tumor antigen النمرة تلاتة failure of host + +407 +00:36:33,070 --> 00:36:37,970 +effector to reach tumor بعض المرات بيكون ال tumor + +408 +00:36:37,970 --> 00:36:41,790 +متخبي في أماكن لا يستطيع ان تصل اليها جهاز المنع + +409 +00:36:41,790 --> 00:36:47,640 +زي ال stromer carrierمرة خمسة host failure of host + +410 +00:36:47,640 --> 00:36:54,420 +to kill variant tumor cell because of dominant + +411 +00:36:54,420 --> 00:36:58,760 +immunodominant antigen on parental tumor cell طبعا + +412 +00:36:58,760 --> 00:37:05,100 +بيكون ال antigen في هذه الحالة dominant + +413 +00:37:05,100 --> 00:37:15,530 +antigen على ال parentalاللي هو tumor cell + +414 +00:37:15,530 --> 00:37:22,610 +immunodiagnosis + +415 +00:37:22,610 --> 00:37:27,750 +ليش بدنا نعمل immunodiagnosis قالوا له هدفين نمرا + +416 +00:37:27,750 --> 00:37:31,090 +واحد to detect antigen specific to tumor and cell + +417 +00:37:31,090 --> 00:37:37,670 +نمرا اتنين لتقييم + +418 +00:37:37,670 --> 00:37:42,000 +lost immune response to the tumorطبعا الـ tumor + +419 +00:37:42,000 --> 00:37:46,220 +cell بي express cytoplasmic او cell surface او + +420 +00:37:46,220 --> 00:37:50,100 +secreted product that are different in nature and + +421 +00:37:50,100 --> 00:37:53,340 +or quantity from those produced by their normal + +422 +00:37:53,340 --> 00:37:56,800 +counterpart طبيعي جدا tumor cell حتى تفرز هذه + +423 +00:37:56,800 --> 00:37:59,720 +الحاجات سواء كانت cytoplasmic او على ال cell + +424 +00:37:59,720 --> 00:38:05,040 +surface او في secreted product بتختلف اختلاف كله + +425 +00:38:05,040 --> 00:38:11,510 +عن ال normal counterpartبسبب عدد الانتجينيات + +426 +00:38:11,510 --> 00:38:13,850 +الصحيحة للمرق الصحيح للمرق الصحيح للمرق الصحيح + +427 +00:38:13,850 --> 00:38:19,490 +للمرق الصحيح للمرق الصحيح للمرق الصحيح للمرق + +428 +00:38:19,490 --> 00:38:22,970 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +429 +00:38:22,970 --> 00:38:22,970 +للمرق الصحيح للمرق الصحيح للمرق الصحيح للمرق + +430 +00:38:22,970 --> 00:38:23,110 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +431 +00:38:23,110 --> 00:38:23,130 +للمرق الصحيح للمرق الصحيح للمرق الصحيح للمرق + +432 +00:38:23,130 --> 00:38:23,310 +الصحيح للمرق الصحيح للمرق الصحيح للمرق الصحيح + +433 +00:38:23,310 --> 00:38:37,910 +للمرق الصحيح للمرق الصح + +434 +00:38:38,340 --> 00:38:42,300 +وحصلنا على مونوكلون الانتيبادي هذه الانتيبادي + +435 +00:38:42,300 --> 00:38:46,320 +نستخدمها كامي بيسموها immunodiagnostic antibody + +436 +00:38:46,320 --> 00:38:50,840 +for immunodiagnosis of a human tumor and their + +437 +00:38:50,840 --> 00:38:58,700 +products these are widely used as reliable + +438 +00:38:58,700 --> 00:39:05,660 +immunodiagnostic procedure ونشوف الأمثلة على ذلك + +439 +00:39:06,870 --> 00:39:10,470 +قالوا detection of myeloma protein produced by + +440 +00:39:10,470 --> 00:39:14,570 +plasma cell tumor طبعا في ال multiple myeloma كنا + +441 +00:39:14,570 --> 00:39:18,690 +بنعرف انه في antibody بتتكون من plasma cell في هذه + +442 +00:39:18,690 --> 00:39:22,990 +الحالة وبالتالي detection of these proteins or + +443 +00:39:22,990 --> 00:39:28,430 +antibody can be diagnostic طبعا مثال اخر في + +444 +00:39:28,430 --> 00:39:30,410 +multiple myeloma ايضا في light chain + +445 +00:39:30,410 --> 00:39:34,230 +immunoglobulin نشوفها في ال pensions protein في ال + +446 +00:39:34,230 --> 00:39:37,430 +urineهذا عبارة عن Diagnostic Criteria أيضًا + +447 +00:39:37,430 --> 00:39:42,450 +Indication على Plasma Cell Tumor اما اتنين + +448 +00:39:42,450 --> 00:39:45,450 +Detection و Alpha-Feta Protein كل من يعرف ان ال + +449 +00:39:45,450 --> 00:39:48,630 +Alpha-Feta Protein هو عبارة عن بروتين موجود في الـ + +450 +00:39:48,630 --> 00:39:53,650 +Fetal Serum وهي بالتالي بعد ولادة ال level بيكون + +451 +00:39:53,650 --> 00:39:59,670 +عالي لكن بيبدأ ينزل بسرعة لغاية عشريننانو جرام + +452 +00:39:59,670 --> 00:40:05,450 +بيرميل طبعا في اكتير من في حالات مرضية زي ال + +453 +00:40:05,450 --> 00:40:10,370 +ovarian and testicular embryonal a non cancerous + +454 +00:40:10,370 --> 00:40:15,410 +hepatic disorder هذا ال level of alpha-fetoprotein + +455 +00:40:15,410 --> 00:40:23,170 +بيزيد قالوا اذا زاد وصل خمسمية لألف نانو جرام + +456 +00:40:23,170 --> 00:40:29,620 +بيرميل هذا بيعني على ان في tumorبينتج Alpha + +457 +00:40:29,620 --> 00:40:35,480 +-Fetoprotein ومتابعة الـ Alpha-Fetoprotein بيعرفنا + +458 +00:40:35,480 --> 00:40:41,080 +إذا كان الـ tumor بسلو ريجلشن أو ريبرولجشن CAA + +459 +00:40:41,080 --> 00:40:44,920 +احنا قلناها ده عبارة عن الـ glycorrotine في الوضع + +460 +00:40:44,920 --> 00:40:50,640 +الطبيعي بينتج by gastrointestinal tract وخصوصا الـ + +461 +00:40:50,640 --> 00:40:56,550 +colonو يوم يصير الخلايا سرطانية الـ CA يتم إطلاقها + +462 +00:40:56,550 --> 00:41:03,350 +في الدم إذا زادت التركيز على 2.5 نانو جرام بيرمل + +463 +00:41:03,350 --> 00:41:08,230 +بيعني في مالك نانسي طبعا ال high level كمان وجدوه + +464 +00:41:08,230 --> 00:41:13,290 +في non cancerous disease + +465 +00:41:13,290 --> 00:41:17,690 +زي سيروسز و ال inflammatory disease of the + +466 +00:41:17,690 --> 00:41:19,410 +intestinal tract and lung + +467 +00:41:23,990 --> 00:41:30,070 +PCSA برانج لايكولوثين موجود في الـ ductal + +468 +00:41:30,070 --> 00:41:36,330 +epithelial cells of the prostate إذا كان تركيز بـ + +469 +00:41:36,330 --> 00:41:40,030 +8 إلى 10 نانو كرام في البلد بيعني أنه فيه prostate + +470 +00:41:40,030 --> 00:41:48,250 +cancer ال cancer antigen 125 CA125 + +471 +00:41:50,660 --> 00:41:56,280 +طبعا هذا برعان tumor marker يستخدم for monitoring + +472 +00:41:56,280 --> 00:42:01,880 +the therapy of ovarian cancer C125 + +473 +00:42:01,880 --> 00:42:06,760 +أيضا بيزيد during peritoneal inflammatory process + +474 +00:42:06,760 --> 00:42:10,600 +فيه other marker هو برعان pan marker بيسمو pan + +475 +00:42:10,600 --> 00:42:17,410 +carcinoma marker اللي هو P72.3هو برعام Monoclonal + +476 +00:42:17,410 --> 00:42:23,730 +Antibody That Recognize All Carcinoma In Human هو + +477 +00:42:23,730 --> 00:42:27,710 +برعام Monoclonal Antibody استخدموا ليه التعرف على + +478 +00:42:27,710 --> 00:42:34,250 +كل أنواع الكارسينوما في الجسم من السبب بيستخدموا + +479 +00:42:34,250 --> 00:42:37,570 +طبعا numerous attempts have been made to treat + +480 +00:42:37,570 --> 00:42:41,730 +cancer in animal and human by immunological means + +481 +00:42:42,280 --> 00:42:45,880 +لكن للأسف الشديد اليوم ال immunotherapy لم يتم + +482 +00:42:45,880 --> 00:42:51,180 +تحريرها لتكون تجارب مفيدة للقنصر سواء كانت استخدمت + +483 +00:42:51,180 --> 00:42:54,740 +لحالها او استخدمت in combination with chemotherapy + +484 +00:42:54,740 --> 00:43:00,000 +and radiotherapy او even surgery اليوم currently + +485 +00:43:00,000 --> 00:43:06,460 +وفي يعني مجموعة كبيرة من الأبحاث وال استراتيجيات + +486 +00:43:06,460 --> 00:43:12,110 +وضعتfor experimental immunotherapy of tumor + +487 +00:43:12,110 --> 00:43:19,810 +للاستخدام و طبعا استخدموها من خلال دراستهم لكيفية + +488 +00:43:19,810 --> 00:43:27,430 +وسائل تنشيط او قتل الخلايا المناعية تنشيط الخلايا + +489 +00:43:27,430 --> 00:43:30,750 +المناعية و كيفية قتلها الخلايا السلطانية و دي + +490 +00:43:30,750 --> 00:43:32,450 +ميكانيزمات كلها احنا عارفينها + +491 +00:43:37,710 --> 00:43:47,360 +أما بنشط الميكانزم وبالتالي بيختل بطريقة أفضليعني + +492 +00:43:47,360 --> 00:43:52,220 +الانكسيلة دي قلنا بننشطها او محقن اللي هو + +493 +00:43:52,220 --> 00:43:56,500 +cytotoxic telephosite whatever حتتطرق الى هذه + +494 +00:43:56,500 --> 00:44:00,700 +الميكانيزمات واحد واحد tumor specific monoclonal + +495 +00:44:00,700 --> 00:44:08,340 +antibody استخدموا انت دي anti CD20 لعلاج بعض + +496 +00:44:08,340 --> 00:44:14,920 +اللينفومة Anti humanإيه بديل من الـ Growth Factor + +497 +00:44:14,920 --> 00:44:17,700 +Receptor for treatment of certain patients with + +498 +00:44:17,700 --> 00:44:22,420 +breast and ovarian cancer؟ طبعا هذه الانتيبادي كان + +499 +00:44:22,420 --> 00:44:27,600 +بديل Cytolysis either by Anky cell من خلال الـ FC + +500 +00:44:27,600 --> 00:44:34,260 +receptor وميكانزم الـ ADCC أو by complement + +501 +00:44:34,260 --> 00:44:39,740 +activation وSurface Cytolysisattachment of toxin + +502 +00:44:39,740 --> 00:44:45,000 +such as ricin or radioactive isotopes بربطوا هذا + +503 +00:44:45,000 --> 00:44:51,460 +ال toxin بال antibody و بيحقنوه في الإنسان + +504 +00:44:51,460 --> 00:44:55,380 +وبالتالي بيبقى يمشي لغة muscle specific for tumor + +505 +00:44:55,380 --> 00:44:58,000 +cell وبالتالي بيصل ال tumor cell و هناك بيعمل + +506 +00:44:58,000 --> 00:45:04,000 +direct killing ل ال cell xenogenic antibody طبعا + +507 +00:45:04,000 --> 00:45:10,120 +اخدوا من ال mouseانتيبادي طبعا هو عبارة عن ناوس + +508 +00:45:10,120 --> 00:45:16,160 +انتيبادي لكن ال Fc portion بيري كومبيلين دي انهي + +509 +00:45:16,160 --> 00:45:20,580 +تكنولوجي خلوها humanize their constant region + +510 +00:45:20,580 --> 00:45:26,860 +وبالتالي حقن عشان يقللهم ال immunogenicity تبعته + +511 +00:45:26,860 --> 00:45:31,560 +باي specific انتيبادي هذا عبارة عن انتيبادي + +512 +00:45:31,560 --> 00:45:38,580 +الانتيبادي له two fabواحدة خلوها طبعا برضه by + +513 +00:45:38,580 --> 00:45:42,240 +recombinant DNA technology الموضوع واحدة خلوها + +514 +00:45:42,240 --> 00:45:46,180 +specific for tumor antigen والتانية specific for + +515 +00:45:46,180 --> 00:45:52,480 +ايش for T cell او NK cell او whatever ماشي + +516 +00:45:52,480 --> 00:45:59,890 +وبالتالي قربواالـ tumor cell من الخلية المناعية + +517 +00:45:59,890 --> 00:46:02,850 +اللي هي الـ cytotoxic T- lymphocyte او الانكي سيل + +518 +00:46:02,850 --> 00:46:09,110 +اذا كان specific لل Fc portion او Fc receptor اللي + +519 +00:46:09,110 --> 00:46:12,530 +موجود على سطح الانكي سيل فبالتالي الانكي سيل اليوم + +520 +00:46:12,530 --> 00:46:19,350 +قرب both cells سواء ال cytotoxic او الانكي سيل شرط + +521 +00:46:19,350 --> 00:46:24,620 +نجاحاللي هو وظيفتها اللي هو cell to cell contact + +522 +00:46:24,620 --> 00:46:27,700 +فهم قرّبوا الخلية من بعض وبالتالي بيحصل في direct + +523 +00:46:27,700 --> 00:46:34,820 +license ال recombinant diffusion protein اللي هو + +524 +00:46:34,820 --> 00:46:41,260 +بعض المرات بيعملوا protein عبارة عن cytokine مع + +525 +00:46:41,260 --> 00:46:46,550 +antitumor antibodyو بيسموه immunocytokine immuno + +526 +00:46:46,550 --> 00:46:50,450 +يعني انتبادي و cytokine من immunoglobulin طبعا و + +527 +00:46:50,450 --> 00:46:54,250 +cytokine من cytokine بيعملولهم على شكل بروتين و + +528 +00:46:54,250 --> 00:46:58,490 +بيكونوا as a fusion protein concentrate وبالتالي + +529 +00:46:58,490 --> 00:47:05,170 +بيصير بيشتغل على ال tumor cell بشكل أفضل ساعته + +530 +00:47:05,170 --> 00:47:12,280 +تكسك تيلينفوساعته تتاخد و بتتنمى براماشي هذه + +531 +00:47:12,280 --> 00:47:17,940 +الخلايا تستطيع ان تقتل مباشرة ال tumor cell و + +532 +00:47:17,940 --> 00:47:23,380 +خصوصا انه عندها القدرة انها تتكون cost emulatory + +533 +00:47:23,380 --> 00:47:30,840 +molecule زي CDAT86 او cytokineطبعاً طبعاً طبعاً + +534 +00:47:30,840 --> 00:47:38,980 +طبعا + +535 +00:47:38,980 --> 00:47:40,920 +طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا + +536 +00:47:40,920 --> 00:47:44,620 +طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا طبعا + +537 +00:47:47,550 --> 00:47:51,530 +بنشطوها بحكي ان الـdendritic cell already مرتبط + +538 +00:47:51,530 --> 00:47:55,530 +باش من خلال MSC class 1 موليكولية على السطحة بال + +539 +00:47:55,530 --> 00:48:01,310 +antigenic peptide او tumor antigen وبالتالي بيصير + +540 +00:48:01,310 --> 00:48:08,410 +تعرف او متنشيط للتياتيك سايتوتكسيك ليمفوسايت اكتر + +541 +00:48:08,410 --> 00:48:12,170 +اذا هذه highly efficient antigen presenting cell + +542 +00:48:12,170 --> 00:48:18,490 +normally express high level of cell surfaceبالتالي + +543 +00:48:18,490 --> 00:48:25,890 +بيصير فيه نشاط اكتر لـ T-cells.Dentritic cells are + +544 +00:48:25,890 --> 00:48:31,630 +either directly loaded بالبيبتايد دي بنحملها + +545 +00:48:31,630 --> 00:48:37,550 +مباشرة بالبيبتايد ال tumor بيبتايد يعني خلال tumor + +546 +00:48:37,550 --> 00:48:40,730 +cell lysate او + +547 +00:48:41,970 --> 00:48:46,030 +هي تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +548 +00:48:46,030 --> 00:48:47,070 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +549 +00:48:47,070 --> 00:48:51,950 +تتعامل مع مصادر دينايه + +550 +00:48:51,950 --> 00:48:55,450 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +551 +00:48:55,450 --> 00:49:00,250 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +552 +00:49:00,250 --> 00:49:00,630 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +553 +00:49:00,630 --> 00:49:03,210 +تتعامل مع مصادر دينايه تتعامل مع مصادر دينايه + +554 +00:49:03,210 --> 00:49:11,590 +تتعامل مع مصادر دينايه تتعامل مع مصادر ديTumor + +555 +00:49:11,590 --> 00:49:14,270 +Antigen That Have Been Molecularly Characterized + +556 +00:49:14,270 --> 00:49:19,070 +Active Vaccination نفسها نستخدم Recombinant + +557 +00:49:19,070 --> 00:49:22,990 +Vaccine Which + +558 +00:49:22,990 --> 00:49:26,770 +Have Been Developed Using Vaccinia Listeria Or + +559 +00:49:26,770 --> 00:49:33,310 +Virus-Like Particle طبعا هذا عبارة عن Active + +560 +00:49:33,310 --> 00:49:41,480 +Immunization من خلال أيضاحقنق DNA بلازميد + +561 +00:49:41,480 --> 00:49:48,080 +Constructs اللي هو DNA Vaccine بيسموه والهدف من + +562 +00:49:48,080 --> 00:49:57,020 +ذلك هو ان يكون specific لل tumor antigen and + +563 +00:49:57,020 --> 00:50:05,300 +expressed by muscle cell فانا دفع عن Vaccine موجود + +564 +00:50:05,300 --> 00:50:06,880 +في ال DNA + +565 +00:50:13,350 --> 00:50:17,030 +which is unique to tumor antigen يعني وبالتالي + +566 +00:50:17,030 --> 00:50:20,910 +بيصير في expression لهذا ال vaccine هذا ال tumor + +567 +00:50:20,910 --> 00:50:24,670 +antigen اكتر وبالتالي بيبقى فيه تنشيط ليش للخلايا + +568 +00:50:24,670 --> 00:50:28,610 +المنعية اكتر في بعض الحالات شو بيعملوا بيحقلوا + +569 +00:50:28,610 --> 00:50:35,430 +جينات ايضا مسئولة عن تصنيع cytokine زي GMC SF IL2 + +570 +00:50:35,430 --> 00:50:44,730 +IL12كل ما دولا if they introduced بيحسنوا + +571 +00:50:44,730 --> 00:50:47,150 +ال presentation of tumor antigen by the enteric + +572 +00:50:47,150 --> 00:50:56,430 +cell at the site of injection augmentation + +573 +00:50:56,430 --> 00:51:04,710 +of specific anticancer immunity هو طبعا هذا by + +574 +00:51:04,710 --> 00:51:12,580 +stimulation of macrophageusing pcg او كورينو + +575 +00:51:12,580 --> 00:51:20,080 +بكتيريام بارفون طبعا مثال على ذلك في استخدام ال + +576 +00:51:20,080 --> 00:51:24,060 +pcg for treating patient with residual superficial + +577 +00:51:24,060 --> 00:51:28,480 +urinary bladder cancer بحق نهو repeated + +578 +00:51:28,480 --> 00:51:31,300 +installation of live mycobacterium into the + +579 +00:51:31,300 --> 00:51:38,490 +bladder من خلال كاتيتر بعدالعملية بعد ما يعملوه ال + +580 +00:51:38,490 --> 00:51:46,570 +section لها أثبتت نجاح و بتعتبر treatment of + +581 +00:51:46,570 --> 00:51:54,970 +choice for superficial bladder cancer لازم يكون + +582 +00:51:54,970 --> 00:52:01,630 +خارجي synthetic molecule أيضا هبين يوز زي البعيران + +583 +00:52:01,630 --> 00:52:09,710 +و ال copilumarوالمالك انهيدريد دايفانيل إيثار وعدة + +584 +00:52:09,710 --> 00:52:16,530 +these induce interferon production وايضا بعض ال + +585 +00:52:16,530 --> 00:52:19,690 +herbal extracts have been used to stimulate the + +586 +00:52:19,690 --> 00:52:28,650 +immune response منها الجنسينج والإيشينيسيا + +587 +00:52:31,840 --> 00:52:35,500 +الـ trials are also in progress on the effect of + +588 +00:52:35,500 --> 00:52:40,820 +various cytokines زي ال interferon alpha, beta, + +589 +00:52:41,020 --> 00:52:47,220 +gamma على ال 1,2,2,3,4,5,12 tumor necrosis factor + +590 +00:52:47,220 --> 00:52:54,540 +و أخر إما singly or in combination on tumor + +591 +00:52:54,540 --> 00:52:56,600 +regression + +592 +00:52:59,960 --> 00:53:04,680 +عشرة lag cell و ال tumor infiltrate lymphocytes + +593 +00:53:04,680 --> 00:53:09,680 +ايضا استخدمهم في treatment of cancer with variable + +594 +00:53:09,680 --> 00:53:15,020 +results lag cells are produced in vitro by + +595 +00:53:15,020 --> 00:53:21,060 +cultivation بيعملولها culturing بال IL-2 و + +596 +00:53:21,060 --> 00:53:25,000 +بيعملولها reinfusion to the patient و تعمل + +597 +00:53:25,000 --> 00:53:28,620 +dramatic improvement in the have been used + +598 +00:53:34,260 --> 00:53:37,700 +أيضًا الـ documented success كانت أيضًا مقالة + +599 +00:53:37,700 --> 00:53:42,940 +باستخدام tumor infiltrate lymphocyte لما نقلناها + +600 +00:53:42,940 --> 00:53:48,280 +لمرضى عندهم melanoma وجدوا أن هذه ال lymphocyte + +601 +00:53:48,280 --> 00:53:53,140 +طبعًا ممكن تتاخد by removal from tumor biopsy + +602 +00:53:53,140 --> 00:53:58,640 +expanded in vitro يعني قبلولها قدوها وقبلولها + +603 +00:53:58,640 --> 00:54:04,380 +culturing في وجود IL-2 ورجعوها تانيوعلى المريض + +604 +00:54:04,380 --> 00:54:09,600 +وجدوا انه فيه Anti-Tumor Activity Higher Many + +605 +00:54:09,600 --> 00:54:20,900 +Times Than Lag Cell و هذه قللت من العلاج + +606 +00:54:20,900 --> 00:54:26,260 +tumor immunoprophylaxis يعني عشان نمنع اللي هو + +607 +00:54:26,260 --> 00:54:29,460 +prophylactic treatment for tumor + +608 +00:54:35,430 --> 00:54:38,850 +باستخدام تقنية اميونية يعني اميونية ضد الفيروس + +609 +00:54:38,850 --> 00:54:42,590 +الانكوجينيكي كانت + +610 +00:54:42,590 --> 00:54:47,330 +مفهومة في الكلب حقا انهم في الفيروس الانكوجينيكي + +611 +00:54:47,330 --> 00:54:52,850 +ايضا اميونية ضد عضلات الحيوانات الحيوانات + +612 +00:54:52,850 --> 00:54:54,310 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +613 +00:54:54,310 --> 00:54:55,950 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +614 +00:54:55,950 --> 00:54:59,590 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +615 +00:54:59,590 --> 00:54:59,670 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +616 +00:54:59,670 --> 00:54:59,670 +الحيوانات الحيوانات الحيوانات الحيوانات الحيوانات + +617 +00:54:59,670 --> 00:55:02,690 +الحيوانات الحيوانات الحأو بيعطوا tumor cell in + +618 +00:55:02,690 --> 00:55:06,570 +which replication has been blocked مافيش + +619 +00:55:06,570 --> 00:55:10,290 +replication او enzymatically modified surface + +620 +00:55:10,290 --> 00:55:13,910 +membrane tumor cell او extract of antigen from the + +621 +00:55:13,910 --> 00:55:18,110 +surface of tumor cell كلها عبارة عن antigen لكن + +622 +00:55:18,110 --> 00:55:22,840 +ملعوفيبعيش انه مايصارش فيه الوه اللي هو + +623 +00:55:22,840 --> 00:55:28,380 +replication فى ال .. وبالتالي هو برع ال energy + +624 +00:55:28,380 --> 00:55:34,980 +بيعطى عساسى يقوم الجهاز المناعى عند الإنسان + +625 +00:55:34,980 --> 00:55:37,880 +despite success in protection of experimental + +626 +00:55:37,880 --> 00:55:42,720 +animal فى ال animal ماشي efficacy of menopreflexes + +627 +00:55:42,720 --> 00:55:44,040 +for protection of human + +628 +00:55:51,920 --> 00:55:57,020 +أو حقيقية على الهيومان بالنسبة للتعامل + +629 +00:55:57,020 --> 00:56:01,600 +البروفيلاكتيكي بشكل الهيومان بشكل الهيومان بشكل + +630 +00:56:01,600 --> 00:56:05,840 +الهيومان بشكل الهيومان بشكل الهيومان بشكل الهيومان + +631 +00:56:05,840 --> 00:56:05,920 +بشكل الهيومان بشكل الهيومان بشكل الهيومان بشكل + +632 +00:56:05,920 --> 00:56:05,920 +الهيومان بشكل الهيومان بشكل الهيومان بشكل الهيومان + +633 +00:56:05,920 --> 00:56:05,920 +بشكل الهيومان بشكل الهيومان بشكل الهيومان بشكل + +634 +00:56:05,920 --> 00:56:06,100 +الهيومان بشكل الهيومان بشكل الهيومان بشكل الهيومان + +635 +00:56:06,100 --> 00:56:09,740 +بشكل الهيومان بشكل الهيومان بشكل الهيومان بشكل + +636 +00:56:09,740 --> 00:56:10,620 +الهيومان بش + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..3923578704d3ead616492d1b49ff0fdbe5878641 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_postprocess.srt @@ -0,0 +1,2252 @@ +1 +00:00:02,020 --> 00:00:06,140 +بسم الله الرحمن الرحيم والصلاة والسلام علي سيد + +2 +00:00:06,140 --> 00:00:11,320 +الخلق أجمعين ننتقل اليوم إن شاء الله إلى الجزء + +3 +00:00:11,320 --> 00:00:20,940 +الكنيكي من المناعة ويبدأ بأول هذه الأمراض وهو ال + +4 +00:00:20,940 --> 00:00:26,140 +hyper sensitivity reaction ال hyper sensitivity + +5 +00:00:26,140 --> 00:00:30,540 +تعريفا هي برعن حالة بيصير فيها over reactivity لل + +6 +00:00:30,540 --> 00:00:38,740 +immune responseوهذا يؤدي إلى deleterious بمعنى + +7 +00:00:38,740 --> 00:00:45,420 +بيؤدي إلى أذية وليس إلى نظام حماية في الجسم بيصير + +8 +00:00:45,420 --> 00:00:47,260 +ال immune response + +9 +00:00:49,670 --> 00:00:58,770 +من من من مضاعفاته انه يصير فيه damage و يصير فيه + +10 +00:00:58,770 --> 00:01:03,990 +pain و يصير فيه كل ال inflammatory signs بيعاني + +11 +00:01:03,990 --> 00:01:13,990 +منها المريض انواع ال hyper sensitivity هم اربع + +12 +00:01:13,990 --> 00:01:21,230 +انواع سموهم ادوهم ارقامtype 1 وtype 2 وtype 3 + +13 +00:01:21,230 --> 00:01:26,870 +وtype 4 اللى عرفهم على two scientists واحد اسمه + +14 +00:01:26,870 --> 00:01:33,330 +كومس والتانى اسمه جيل النوع الاول سموه immediate + +15 +00:01:33,330 --> 00:01:40,050 +hypersensitivity allergy وهو برعن IGE mediated + +16 +00:01:40,050 --> 00:01:46,930 +reaction بمعنى ان فى antibody mediatedThe reaction + +17 +00:01:46,930 --> 00:01:52,590 +وهذا الانتيبادي هو عبارة عن IgE انتيبادي It's + +18 +00:01:52,590 --> 00:01:58,230 +stimulated the reaction is stimulated by the IgE + +19 +00:01:58,230 --> 00:02:05,650 +يوم يرتبط برسيبتور تبعه على سطح المصل والبيزوفيل + +20 +00:02:05,650 --> 00:02:10,450 +والرسيبتور هو عبارة عن FC ارتباطه من خلال ال FC + +21 +00:02:10,450 --> 00:02:13,430 +portion of + +22 +00:02:16,350 --> 00:02:21,650 +antibody يعني اللي فالت بيظل الفاب و ال receptor + +23 +00:02:21,650 --> 00:02:28,250 +بيسموه FC epsilon R1 once + +24 +00:02:28,250 --> 00:02:34,650 +cross linked okay بمعنى ال antigen صاروا cross + +25 +00:02:34,650 --> 00:02:38,790 +linking two antigen two antibody are cross linked + +26 +00:02:38,790 --> 00:02:44,560 +with the same antigenالـ IgE بيعمل تحذير للمسل + +27 +00:02:44,560 --> 00:02:47,400 +والبيزوفيل لتحذيره بشكل ديجرانيوليكي لتحذيره بشكل + +28 +00:02:47,400 --> 00:02:47,740 +ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي لتحذيره + +29 +00:02:47,740 --> 00:02:49,760 +بشكل ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي + +30 +00:02:49,760 --> 00:02:52,220 +لتحذيره بشكل ديجرانيوليكي لتحذيره بشكل + +31 +00:02:52,220 --> 00:02:52,260 +ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي لتحذيره + +32 +00:02:52,260 --> 00:02:55,420 +بشكل + +33 +00:02:55,420 --> 00:02:59,420 +ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي لتحذيره + +34 +00:02:59,420 --> 00:03:05,980 +بشكل + +35 +00:03:05,980 --> 00:03:16,560 +ديجرbe away from protection يعني المريض بيكون دخل + +36 +00:03:16,560 --> 00:03:23,260 +في مرحلة خاطرة reaction usually is rapid بيصير + +37 +00:03:23,260 --> 00:03:27,700 +within minutes after challenge بمعنى after the + +38 +00:03:27,700 --> 00:03:35,680 +exposure to the antigen type twoبسموه cytolytic or + +39 +00:03:35,680 --> 00:03:41,980 +cytotoxic reaction or cure وهو طبعا أيضا antibody + +40 +00:03:41,980 --> 00:03:46,420 +mediated يوم يكون ال IGM أو ال IGE يرتبط بانتجن + +41 +00:03:46,420 --> 00:03:49,980 +على سطح الخلايا وهو بينشط لنا complement و ال + +42 +00:03:49,980 --> 00:03:56,780 +complement بتكسر الخلية اللي اتنشطت عليها type 3 + +43 +00:03:56,780 --> 00:04:03,280 +اللي بيصير فيه immune complex formationبمعنى + +44 +00:04:03,280 --> 00:04:07,980 +Immune Complex Reaction بيصير وبتتجمع ال Immune + +45 +00:04:07,980 --> 00:04:12,120 +بالانتجن طبعا وال IGM وال IGG أيضا Antibody + +46 +00:04:12,120 --> 00:04:17,440 +Mediated بتبدأ تتجمع هذه ال Complexes in + +47 +00:04:17,440 --> 00:04:21,980 +circulation or in tissue وبرضه بنشطه ال complement + +48 +00:04:21,980 --> 00:04:28,040 +أيضا ال Granulocyte في هذه الحالة is recruited is + +49 +00:04:28,040 --> 00:04:30,860 +attracted to the site of vaccination او of + +50 +00:04:30,860 --> 00:04:36,090 +activationوهي أيضا بيؤدي الى damage of tissue by + +51 +00:04:36,090 --> 00:04:40,590 +the enzyme from granulocytes and this also occur + +52 +00:04:40,590 --> 00:04:48,390 +within hours from challenge with antigen نوع + +53 +00:04:48,390 --> 00:04:53,810 +الرابع cell mediated يعني التلاتة الأولانيين هم + +54 +00:04:53,810 --> 00:04:57,310 +عبارة عن antimode mediated بينما الرابع هو عبارة + +55 +00:04:57,310 --> 00:05:01,800 +عن cell mediated immunityواللي بيصير فيه delete + +56 +00:05:01,800 --> 00:05:08,820 +type hypersensitivity reaction المحصلة نشاط ل CD4 + +57 +00:05:08,820 --> 00:05:16,480 +T-Helper cell و CD8 cytotoxic cell ايضا لما تتنشط + +58 +00:05:16,480 --> 00:05:21,000 +ال CD4 T-Helper cell بتنشط لنا ال different + +59 +00:05:21,000 --> 00:05:25,580 +cytokine which recruit and activate macrophage + +60 +00:05:25,580 --> 00:05:29,320 +وبالتالي ال macrophage بيعمل damage ايضا + +61 +00:05:32,950 --> 00:05:37,170 +Tissue بس ال reaction بصير within days or weeks + +62 +00:05:37,170 --> 00:05:41,010 +after challenge with antigen لأنه من هذا المطلق + +63 +00:05:41,010 --> 00:05:46,950 +بيسموها delete type hypersensitivity reaction نبدأ + +64 +00:05:46,950 --> 00:05:49,850 +بأول هذه الأنواع ونحكي في type one + +65 +00:05:49,850 --> 00:05:55,350 +hypersensitivity reaction ونحكي بال phases of + +66 +00:05:55,350 --> 00:06:00,010 +allergic reaction يعني this reaction usually have + +67 +00:06:00,010 --> 00:06:03,230 +three phasesالـ phase الأولاني بيسموه + +68 +00:06:03,230 --> 00:06:08,450 +sensitization phase sensitization phase بمعنى انه + +69 +00:06:08,450 --> 00:06:14,930 +تكون ال IgE تكون ال IgE in response to antigenic + +70 +00:06:14,930 --> 00:06:18,950 +stimulus وارتبط في ال receptor تبعه على سطح المصر + +71 +00:06:18,950 --> 00:06:25,030 +والبيزوفيل يعني فقط تكون ال IgE ال antibody و جاعد + +72 +00:06:25,030 --> 00:06:30,610 +على سطح الخلايا من خلال ارتباطه بال receptor تبعه + +73 +00:06:32,190 --> 00:06:37,710 +الفز التاني اللي هو ال activation phase طبعا upon + +74 +00:06:37,710 --> 00:06:43,390 +the exposure to the same antigen it will trigger + +75 +00:06:43,390 --> 00:06:48,030 +وارتباط ال antibody بهذا ال antigen it will + +76 +00:06:48,030 --> 00:06:54,830 +trigger muscle and basophil to respond و the + +77 +00:06:54,830 --> 00:06:59,230 +response يعني انه they degranulate they release + +78 +00:06:59,230 --> 00:07:04,350 +their granulesالـ Phase التالت وهو الـ Effect of + +79 +00:07:04,350 --> 00:07:07,910 +Phase وهو تأثير الـ Granules شو بعمل؟ Complex + +80 +00:07:07,910 --> 00:07:14,050 +Response لأنه في مجموعة كبيرة من الـ Granules + +81 +00:07:14,050 --> 00:07:19,150 +بتطلع كل واحد له Effect معين فالمحصلة هو عبارة عن + +82 +00:07:19,150 --> 00:07:22,950 +Complex Response من ال .. بيقدر إلى Many + +83 +00:07:22,950 --> 00:07:28,850 +Inflammatory Reactionsبسبب إطلاق الكثير من + +84 +00:07:28,850 --> 00:07:35,650 +الانفلاماتوري ميدياتر بشكل عضو و بيزوفيل طبعا + +85 +00:07:35,650 --> 00:07:41,570 +ما حصلت هذا الكلام ان هناك إشيارات و الشيارات تظهر + +86 +00:07:41,570 --> 00:07:49,200 +بإيجزمة و أزمة و رينايتس و هكذاطيب شو اللي بيصير + +87 +00:07:49,200 --> 00:07:52,220 +في ال sensitization phase؟ قالوا ال immunoglobulin + +88 +00:07:52,220 --> 00:07:56,500 +هو المسئول عن ال allergic reaction واتفقنا على انه + +89 +00:07:56,500 --> 00:08:04,520 +هو ال IGA it occurs usually by + +90 +00:08:04,520 --> 00:08:09,680 +any means of contact بما فيها skin contact or + +91 +00:08:09,680 --> 00:08:13,560 +through injection or through injection of and + +92 +00:08:13,560 --> 00:08:21,080 +inhalation to the antigenفي مصطلحين بيصاحبوا هذه + +93 +00:08:21,080 --> 00:08:27,340 +الحالة الأولاني هو ال hay fever وهو مصطلح نقصد فيه + +94 +00:08:27,340 --> 00:08:34,700 +ان الانتجين جاء from airport allergen او source ال + +95 +00:08:34,700 --> 00:08:41,760 +atopy أيضا بيعني ان ال IGE related + +96 +00:08:41,760 --> 00:08:43,640 +hypersensitivity reaction + +97 +00:08:47,060 --> 00:08:52,000 +والمرضى اللى بيسموه عندهم هذا النوع من ال reaction + +98 +00:08:52,000 --> 00:09:00,020 +بيسموهم atopic patient atopic patient ال + +99 +00:09:00,020 --> 00:09:07,140 +R G E response are genetically controlled و الجين + +100 +00:09:07,140 --> 00:09:11,760 +اللى ي control the I G E antibody هم عبارة عن M H + +101 +00:09:11,760 --> 00:09:16,120 +C linked gene موجودين على كرمزوم رقم 6أيضًا + +102 +00:09:16,120 --> 00:09:20,100 +control موجود + +103 +00:09:20,100 --> 00:09:24,400 +من خلال other regulatory gene زي الجينات المسؤولة + +104 +00:09:24,400 --> 00:09:28,520 +عن ال FCE receptor وهذا موجودين على كرمزوم رقم + +105 +00:09:28,520 --> 00:09:34,640 +اتنين كمان الجينات اللي موجودين for T لبرتوك and + +106 +00:09:34,640 --> 00:09:39,380 +IL4 gene وطبعًا هدولة موجودين على كرمزوم رقم خمسة + +107 +00:09:40,600 --> 00:09:45,920 +بيحتوى على عدة جينات منهم الى فرق آية لتلاتة أو + +108 +00:09:45,920 --> 00:09:49,500 +أربعة أو خمسة أو تسعة أو تلاتاش وبالتالي عبارة عن + +109 +00:09:49,500 --> 00:09:54,020 +مجموعة من الجينات طبعا over expression of these + +110 +00:09:54,020 --> 00:10:04,260 +genes بيعني زيادة في هذا النوع من الحساسية ال + +111 +00:10:04,260 --> 00:10:09,440 +ITE antibody production اتفقنا على أن هذه المرتوسة + +112 +00:10:09,440 --> 00:10:14,210 +ال dependentو بما اننا بنحكي على T helper 2 يبقى + +113 +00:10:14,210 --> 00:10:19,150 +آيال 4 و آيال 13 ساعته كان بلعب دور كبير في هذا + +114 +00:10:19,150 --> 00:10:25,770 +الموضوع في تنشيط T helper 2 و لو استخدمنا Anti-IL + +115 +00:10:25,770 --> 00:10:33,370 +-4 Antibody it will mimic and inhibit the IgE + +116 +00:10:33,370 --> 00:10:37,230 +production أيضا + +117 +00:10:38,850 --> 00:10:43,870 +وجدوا ان ال concentration of IL-4 او level of IL-4 + +118 +00:10:43,870 --> 00:10:49,350 +في هدول الأشخاص is higher than non allergic one + +119 +00:10:49,350 --> 00:10:54,950 +ايضا ال IGE level are also higher than the first + +120 +00:10:54,950 --> 00:11:04,190 +group اللي هو IL-4 IL-13 group طبعا + +121 +00:11:04,190 --> 00:11:06,050 +once exposure to the allergen + +122 +00:11:09,990 --> 00:11:21,270 +بعد مراجعةه ثانوية مرة، يعتبر الشخص مستشعر، والـ + +123 +00:11:21,270 --> 00:11:27,210 +IgE، عفوا، بمجرد مدخول الـ Allergen، الـ IgE بتكون + +124 +00:11:27,210 --> 00:11:31,470 +أو موجود على سطح الخلايا من خلال ارتباطه بالـ + +125 +00:11:31,470 --> 00:11:36,760 +Receptor تبعه.المعصر اللي نجوها موجودة في blood + +126 +00:11:36,760 --> 00:11:39,680 +vessels around the blood vessels in the connective + +127 +00:11:39,680 --> 00:11:45,940 +tissue موجودة lining to the gut and in the lung + +128 +00:11:45,940 --> 00:11:49,620 +وهذه طبعا الأماكن الحساسة اللتي تتأثر ويصير فيها + +129 +00:11:49,620 --> 00:11:56,620 +damage through the hypersensitivity reaction both + +130 +00:11:56,620 --> 00:12:00,540 +muscle and basophil have the receptor اللي هو ال + +131 +00:12:00,540 --> 00:12:05,220 +FC epsilon receptor onewhich point to IgE من خلال + +132 +00:12:05,220 --> 00:12:10,380 +ال Fc portion ماشي يعني اللي فالت على سطح الخلية + +133 +00:12:10,380 --> 00:12:16,280 +هو ال Fab region و it will remain sensitized these + +134 +00:12:16,280 --> 00:12:21,780 +cells will remain sensitized and their activation + +135 +00:12:21,780 --> 00:12:28,080 +occur when antigen comes in contact with them فقط + +136 +00:12:28,080 --> 00:12:32,070 +يعني في المرة الأولانية فقطالتعرض الأولاني + +137 +00:12:32,070 --> 00:12:36,510 +للانتيجين فقط بيتكون ال antibody و بقعد على سطح + +138 +00:12:36,510 --> 00:12:40,490 +الخلايا و بنعتبر المريض sensitized upon second + +139 +00:12:40,490 --> 00:12:43,910 +exposure to the same antigen هيكون ال antibody + +140 +00:12:43,910 --> 00:12:48,270 +جاهز بيستنى ال antigen و لما يحصل cross linking + +141 +00:12:48,270 --> 00:12:49,410 +بيحصل فيه activation + +142 +00:12:52,370 --> 00:12:55,710 +الـ Passive Synthesization is achieved by + +143 +00:12:55,710 --> 00:12:58,530 +transferring يعني ممكن الواحد ياخد الحساسية من + +144 +00:12:58,530 --> 00:13:03,590 +واحد تاني طبعا إذا أخد منه Serum وبيحتوي على الـ + +145 +00:13:03,590 --> 00:13:11,890 +IgA Antibody to specific antigen بيسمو العملية + +146 +00:13:11,890 --> 00:13:18,330 +Passive Synthesization وهذا ما يحدث في Prosnets + +147 +00:13:18,330 --> 00:13:24,760 +Kostner Testالذي من خلاله نستطيع نحكي الـ antibody + +148 +00:13:24,760 --> 00:13:28,700 +responsible for anaphylactic reaction واحد عنده + +149 +00:13:28,700 --> 00:13:35,180 +حساسية بنعمله ال PKA test اللي هو بروسنيتز كوسنر + +150 +00:13:35,180 --> 00:13:42,660 +تست بنشوف من خلاله انه في عنده antibody which can + +151 +00:13:42,660 --> 00:13:48,120 +cause anaphylactic reaction or not طبعا كلكم + +152 +00:13:48,120 --> 00:13:52,050 +تعرفوا ال ايه ال TBreaction اللي هو بيعمل wheel + +153 +00:13:52,050 --> 00:13:58,290 +and flare reaction في ال skin شو اللي بيصير في هذا + +154 +00:13:58,290 --> 00:14:05,350 +الفحص انه الإنسان اللي عنده allergy for x antigen + +155 +00:14:05,350 --> 00:14:09,830 +بناخد + +156 +00:14:09,830 --> 00:14:14,850 +منه ال serum و بنعمله injection into non allergic + +157 +00:14:14,850 --> 00:14:21,160 +person فبصير عنده antibody من نوع IgEالذين يقومون + +158 +00:14:21,160 --> 00:14:29,140 +بإدخال مصدر و بيزوفيل طبعا مرة انتجت بانتجين X + +159 +00:14:29,140 --> 00:14:35,120 +سيسبب فيها تفاعل ارتكاريال طبعا + +160 +00:14:35,120 --> 00:14:40,180 +هذه التفاعل هي حيث ان الحيوان مستشعر بشكل مستشعر + +161 +00:14:40,180 --> 00:14:46,660 +مستشعر + +162 +00:14:47,880 --> 00:14:52,440 +هو بيسموها التفاعل passive cutaneous anaphylaxis + +163 +00:14:52,440 --> 00:14:57,240 +انه بيصير على ال skin هو ده بيصير حقا تحت ال skin + +164 +00:14:57,240 --> 00:15:00,760 +هو بيصير على ال skin will and flare reaction + +165 +00:15:00,760 --> 00:15:08,600 +وبيسموها passive cutaneous anaphylaxis وهي ال + +166 +00:15:08,600 --> 00:15:14,700 +activation زي مين دي عبارة عن muscle على سطحه + +167 +00:15:14,700 --> 00:15:20,120 +receptor ده هو ال receptorfor IgE FCEpsilon-R1 + +168 +00:15:20,120 --> 00:15:27,480 +Receptor ارتبط فيه الانتيبادي IGE وطبعا هي + +169 +00:15:27,480 --> 00:15:33,000 +الانتيبادي يوم دخل الانتيجين وصار cross linking + +170 +00:15:33,000 --> 00:15:39,440 +يعني مسكتوا انتيبادي مع بعض نشطت ال muscle وعملت + +171 +00:15:39,440 --> 00:15:44,020 +degranulation هي ال degranulation occur بوضوح في + +172 +00:15:44,020 --> 00:15:44,620 +هذه الحالة + +173 +00:15:49,130 --> 00:15:52,530 +الـ activation phase of allergic reaction بيبدأ by + +174 +00:15:52,530 --> 00:15:56,350 +triggering the muscle to release their content and + +175 +00:15:56,350 --> 00:16:02,550 +inflammatory mediators in + +176 +00:16:02,550 --> 00:16:07,370 +the medium ايضا it occurs it requires to at least + +177 +00:16:07,370 --> 00:16:13,550 +two of the receptorof the FC region of IgE + +178 +00:16:13,550 --> 00:16:17,270 +molecule to be bridged يعني قلنا لكوا بده يحصل فيه + +179 +00:16:17,270 --> 00:16:21,670 +cross-linking between two receptors من خلال + +180 +00:16:21,670 --> 00:16:29,850 +ارتباطهم with one antigen المحصلة، + +181 +00:16:29,850 --> 00:16:34,950 +المحصلة أثارة الكلام ان المحصلة الـ Degranulate هو + +182 +00:16:34,950 --> 00:16:39,070 +الـ Degranulation بيعتمدالـ Inflammatory reaction + +183 +00:16:39,070 --> 00:16:43,150 +بيعتمد على ال dose of antigen and route of entry + +184 +00:16:43,150 --> 00:16:50,690 +route of entry كيف دخل الانتجن فعلى سبيل المثال if + +185 +00:16:50,690 --> 00:16:54,530 +it degranulate in the GIT يعني gastrointestinal + +186 +00:16:54,530 --> 00:16:59,670 +tract it will cause fluid secretion and + +187 +00:16:59,670 --> 00:17:05,750 +peristalsis to occur والمحصلة ديارية و vomiting + +188 +00:17:06,740 --> 00:17:12,080 +يعني واحد عنده حصصية دخلت عن طريق الجسد الأكل ممكن + +189 +00:17:12,080 --> 00:17:18,100 +يصير فيه اللي هو سال و نتج و الجهاز الهضمى هو من + +190 +00:17:18,100 --> 00:17:23,980 +يتأثر في ال lung إذا كان by inhalation ماشي it + +191 +00:17:23,980 --> 00:17:30,020 +decrease in airway diameter و بيصير فيه plackage + +192 +00:17:30,020 --> 00:17:35,180 +of the airways يعني بتتيق + +193 +00:17:36,000 --> 00:17:44,020 +اللي هو ال airways diameter و بيصير فيه ضيق في + +194 +00:17:44,020 --> 00:17:48,980 +التنفس in blood vessels هذا بيعمل vascular + +195 +00:17:48,980 --> 00:17:52,980 +permeability يبقى حسب المكان اللي إيش اللي صار فيه + +196 +00:17:52,980 --> 00:17:57,960 +ال reaction بيصير فيه symptoms مصاحبة لإيه + +197 +00:18:00,580 --> 00:18:08,920 +حسب المكان بتختلف باختلاف المكان طبعا ال severity + +198 +00:18:08,920 --> 00:18:14,480 +بتختلف باختلاف ال dose وهذه + +199 +00:18:14,480 --> 00:18:22,720 +الصورة بيبين لنا different ways اللي من خلالها ال + +200 +00:18:22,720 --> 00:18:26,980 +muscle و ال basal field عملت degranulation فزي ما + +201 +00:18:26,980 --> 00:18:32,070 +انتوا شايفينطبعا هنا في عندنا محصل already + +202 +00:18:32,070 --> 00:18:36,750 +sensitized على نفسها antibody يوم يصير في bridging + +203 +00:18:36,750 --> 00:18:41,270 +between these two antibodies by even anti-IgE + +204 +00:18:41,270 --> 00:18:49,190 +هيصير في الهو degranulation ايضا هنا ممكن يصير في + +205 +00:18:49,190 --> 00:18:53,930 +cross linking من خلال الارتباط بالاكتن هنا من خلال + +206 +00:18:53,930 --> 00:18:59,750 +ارتباط بchemical substance وهنا من خلالالارتباط + +207 +00:18:59,750 --> 00:19:07,530 +بـAnti-Receptor Antibody ضد ميه ضد الـReceptor تبع + +208 +00:19:07,530 --> 00:19:16,630 +الـIgE-Epsilon هذه + +209 +00:19:16,630 --> 00:19:21,710 +الفيجور اللي فات بيبين لنا various types of cross + +210 +00:19:21,710 --> 00:19:25,950 +linking which lead to muscle degranulation + +211 +00:19:29,050 --> 00:19:32,970 +أيضًا كالسيوم ايانوفور بيؤدي إلى زيادة ال calcium + +212 +00:19:32,970 --> 00:19:37,590 +influx في الخلية وهذا بيؤدي إلى ال degranulation + +213 +00:19:37,590 --> 00:19:44,990 +الانفلاتوكسين C3A وC5A ودراجز زي الكودايين + +214 +00:19:44,990 --> 00:19:50,210 +والمورفين وبعض الليكتين أيضًا كان cross-linked + +215 +00:19:50,210 --> 00:19:58,850 +IgEFC receptor Receptor بيسمله aggregationوهو + +216 +00:19:58,850 --> 00:20:03,030 +بتغير شكله وبيتبع + +217 +00:20:03,030 --> 00:20:08,070 +ذلك اللي هو changing membrane fluidity وهذا بيحصل + +218 +00:20:08,070 --> 00:20:12,730 +غالبا from methylation او phospholipid اللي موجود + +219 +00:20:12,730 --> 00:20:15,670 +في cell membrane بيقدر إلى transient increase in + +220 +00:20:15,670 --> 00:20:19,670 +cyclic AMP مطبوعة + +221 +00:20:19,670 --> 00:20:24,810 +بالكالسيوم influx وطبعا هذا بيعمل slow down to the + +222 +00:20:25,280 --> 00:20:29,160 +process of degranulation وبالتالي ال activation of + +223 +00:20:29,160 --> 00:20:32,880 +the adenylate cyclase اللي هو بتحكم في ال cycle K + +224 +00:20:32,880 --> 00:20:39,320 +and P can control the anaphylaxis + +225 +00:20:39,320 --> 00:20:50,340 +طبعا + +226 +00:20:50,340 --> 00:20:51,080 +ال degranulation + +227 +00:20:54,060 --> 00:20:59,800 +Degranulated cells regenerate and synthesize the + +228 +00:20:59,800 --> 00:21:02,620 +granules and resume their function طبيعي جدا إذا + +229 +00:21:02,620 --> 00:21:05,780 +كان عمل Degranulation ترجع تكوين ال granules من + +230 +00:21:05,780 --> 00:21:10,320 +أول و جديد وبالتالي ب .. it can resume their + +231 +00:21:10,320 --> 00:21:15,720 +function easily Effector phase ال symptoms of + +232 +00:21:15,720 --> 00:21:21,560 +allergic reaction غالب هي عبارة عن مصاحبة ال + +233 +00:21:21,560 --> 00:21:27,200 +inflammatory mediator releasedو جابوا ان ال + +234 +00:21:27,200 --> 00:21:30,460 +inflammatory mediators هي نوعين واحد already + +235 +00:21:30,460 --> 00:21:35,680 +performed mediator والتاني newly formed mediator + +236 +00:21:35,680 --> 00:21:40,960 +او muscle mediator و هنشوف هم هذا هم زي ما انتوا + +237 +00:21:40,960 --> 00:21:50,890 +عارفينهي ال .. ال .. ال muscle مرتبطة بال antigen + +238 +00:21:50,890 --> 00:21:56,210 +و لاحظوا ال cross linking اللي موجود between + +239 +00:21:56,210 --> 00:22:04,510 +receptors مع ال antigen طبعا محصلت هذا الكلام + +240 +00:22:04,510 --> 00:22:09,550 +بيصير فيه calcium influx وبيتبع ال calcium influx + +241 +00:22:09,550 --> 00:22:13,890 +اللي هو ال degradationاللي زي ما اتفقنا في نوعين + +242 +00:22:13,890 --> 00:22:17,470 +من ال granules واحد already preformed يعني موجود + +243 +00:22:17,470 --> 00:22:25,110 +في ال granules جاهز زي الاستامين والهيبرين وال + +244 +00:22:25,110 --> 00:22:32,230 +proteases و ال epithelial cell factor A و IL8 و + +245 +00:22:32,230 --> 00:22:37,850 +other cytokinesهذه الميزة موجودة مستعدة و مستعدة + +246 +00:22:37,850 --> 00:22:42,690 +في الخدية فبإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +247 +00:22:42,690 --> 00:22:46,170 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +248 +00:22:46,170 --> 00:22:46,650 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +249 +00:22:46,650 --> 00:22:46,910 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +250 +00:22:46,910 --> 00:22:47,070 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +251 +00:22:47,070 --> 00:22:50,350 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +252 +00:22:50,350 --> 00:22:56,330 +إصلاحها بإمكانك إصلاحها بإمكانك + +253 +00:22:56,330 --> 00:23:04,520 +إصلاحهاوبطلعنا اللي هو Arachidonic Acid أي اتنشط + +254 +00:23:04,520 --> 00:23:08,740 +الفوسفولاي بيز انزايم وبطلع ال Arachidonic Acid + +255 +00:23:08,740 --> 00:23:13,340 +from the membrane لبت وال Arachidonic Acid بدينا + +256 +00:23:13,340 --> 00:23:19,560 +نوعين من ال product واحد في وجود ال Cyclooxygenase + +257 +00:23:19,560 --> 00:23:25,060 +انزايم بدي Prostaglandin وThromboxane A2وفي ولود + +258 +00:23:25,060 --> 00:23:29,960 +اللعيب اكسيجينيه مدى الليكوترين بانواع مختلفة هي + +259 +00:23:29,960 --> 00:23:35,440 +الليكوترين B وC وD وE كلهم بيطلعوا slow release + +260 +00:23:35,440 --> 00:23:41,000 +substance are released وهي المسئولة عن كثير من + +261 +00:23:41,000 --> 00:23:49,720 +اياش عن ال pain و ال symptomsيبقى فيه موديو مدينة + +262 +00:23:49,720 --> 00:23:53,100 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +263 +00:23:53,100 --> 00:23:54,620 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +264 +00:23:54,620 --> 00:23:55,320 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +265 +00:23:55,320 --> 00:24:00,420 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +266 +00:24:00,420 --> 00:24:00,460 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +267 +00:24:00,460 --> 00:24:02,820 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +268 +00:24:06,250 --> 00:24:08,770 +البرفوان البرفوان البرفوان البرفوان البرفوان + +269 +00:24:08,770 --> 00:24:09,290 +البرفوان البرفوان البرفوان البرفوان البرفوان + +270 +00:24:09,290 --> 00:24:10,190 +البرفوان البرفوان البرفوان البرفوان البرفوان + +271 +00:24:10,190 --> 00:24:18,130 +البرفوان البرفوان البرفوان البرفوان البرفوان + +272 +00:24:18,130 --> 00:24:20,350 +البرفوان البرفوان البرفوان البرفوان البرفوان + +273 +00:24:20,350 --> 00:24:21,290 +البرفوان البرفوان البرفوان البرفوان البرفوان + +274 +00:24:21,290 --> 00:24:22,090 +البرفوان البرفوان البرفوان البرفوان البرفوان + +275 +00:24:22,090 --> 00:24:23,990 +البرفوان البرفوان البرفوان البرفوان البرفوان + +276 +00:24:23,990 --> 00:24:31,180 +البرفوان البرفوان البرفوان البرفوان البرفوتو + +277 +00:24:31,180 --> 00:24:35,220 +ريسبتور فى الهستامين وجدوا انه فى تو ريسبتور واحد + +278 +00:24:35,220 --> 00:24:38,680 +بيسموه H1 ريسبتور موجود على ال smooth muscles + +279 +00:24:38,680 --> 00:24:43,940 +والارتباط فيه بيأدى ال construction and increase + +280 +00:24:43,940 --> 00:24:49,040 +vascular permeability طبعا construction of the + +281 +00:24:49,040 --> 00:24:52,180 +smooth muscles ولمّا بتشد ال smooth muscle بيصير + +282 +00:24:52,180 --> 00:24:57,520 +فى vascular permeability وال H2 ريسبتور موجود فى + +283 +00:24:57,520 --> 00:25:07,500 +ال mucus secretionبشكل عام و الارتباط اللي هي + +284 +00:25:07,500 --> 00:25:13,160 +استمين فيه بيعمل Vascular permeability و بيؤدي الى + +285 +00:25:13,160 --> 00:25:20,700 +زيادة ال HCL في ال stomach و من ال mycosal cell of + +286 +00:25:20,700 --> 00:25:23,300 +the stomach من ال parietal cell of AS of the + +287 +00:25:23,300 --> 00:25:26,860 +stomach عشان + +288 +00:25:26,860 --> 00:25:37,160 +هي كانلما تشتغل على حموضة + +289 +00:25:37,160 --> 00:25:37,280 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +290 +00:25:37,280 --> 00:25:37,300 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +291 +00:25:37,300 --> 00:25:37,380 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +292 +00:25:37,380 --> 00:25:37,620 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +293 +00:25:37,620 --> 00:25:42,940 +مخلوق مخلوق مخلوق مخلوق مخلوق + +294 +00:25:42,940 --> 00:25:53,840 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخل + +295 +00:25:55,250 --> 00:26:02,090 +بينما الـH2 ريسيبتور مغلق من سيميتدين أنواع معينة + +296 +00:26:02,090 --> 00:26:05,690 +من الانتيهستامينك + +297 +00:26:05,690 --> 00:26:12,110 +لذلك يجب أن يكون هناك فرق ما بينهم سفاتنين مجرد + +298 +00:26:12,110 --> 00:26:19,530 +مدير انفلاماتوري يعمل زيه وزي الهستامينثم الـ + +299 +00:26:19,530 --> 00:26:22,810 +cytokine و قلنا في مجموعة منهم عبارة عن + +300 +00:26:22,810 --> 00:26:29,090 +chemotactic factor زي DMCSF و ال IL-5 و tumor + +301 +00:26:29,090 --> 00:26:33,790 +necrosis factor Alpha ثم ال xenophilic chemotactic + +302 +00:26:33,790 --> 00:26:40,750 +factor و ال platelet activating factor و اليوكترين + +303 +00:26:42,310 --> 00:26:46,170 +وقال تمانية كيموتاكسي of polymorphic nuclear + +304 +00:26:46,170 --> 00:26:50,670 +نتروفين كلها عبارة عن ايش؟ عبارة عن cytokine and + +305 +00:26:50,670 --> 00:26:54,850 +chemotactic factor which are released ايضا سواء + +306 +00:26:54,850 --> 00:26:59,070 +كانت performed on newly synthesized one هيبقى + +307 +00:26:59,070 --> 00:27:04,130 +اليمين ان هو عبارة عن acidic proteoglycan molecule + +308 +00:27:04,130 --> 00:27:09,500 +دوره يعني ما الانهيبشي الا ال coagulationو لا يوجد + +309 +00:27:09,500 --> 00:27:14,080 +دور في الانفلاكسيز اللى بيحصل الـ newly + +310 +00:27:14,080 --> 00:27:19,860 +synthesized قولنا الليكوترين و هذين هم متابلات من + +311 +00:27:19,860 --> 00:27:24,880 +الاردنك أسد بأنواع مختلفة اليكوترين بي فور سي فور + +312 +00:27:24,880 --> 00:27:30,200 +دي فور اي فور و هكذا شو بيعملوا هدولة لتسبب في + +313 +00:27:30,200 --> 00:27:31,600 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +314 +00:27:31,600 --> 00:27:33,360 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +315 +00:27:33,360 --> 00:27:33,400 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +316 +00:27:33,400 --> 00:27:35,500 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعم + +317 +00:27:36,090 --> 00:27:41,950 +والسبب هو الكثير من الانهيستامين المقاومة في البشر + +318 +00:27:41,950 --> 00:27:47,170 +هما بيؤدوا الى ودود القزمة اللي لا يخلقها علاج + +319 +00:27:47,170 --> 00:27:51,010 +بيكون فيه مقاومة عند المريض + +320 +00:27:57,240 --> 00:27:58,700 +طبعا هؤلاء هم مصادر عملية عملية عملية عملية عملية + +321 +00:27:58,700 --> 00:28:01,120 +عملية عملية عملية عملية عملية عملية عملية عملية + +322 +00:28:01,120 --> 00:28:02,020 +عملية عملية عملية عملية عملية عملية عملية عملية + +323 +00:28:02,020 --> 00:28:05,020 +عملية عملية عملية عملية عملية عملية عملية عملية + +324 +00:28:05,020 --> 00:28:07,060 +عملية عملية عملية عملية عملية عملية عملية عملية + +325 +00:28:07,060 --> 00:28:07,320 +عملية عملية عملية عملية عملية عملية عملية عملية + +326 +00:28:07,320 --> 00:28:07,440 +عملية عملية عملية عملية عملية عملية عملية عملية + +327 +00:28:07,440 --> 00:28:07,480 +عملية عملية عملية عملية عملية عملية عملية عملية + +328 +00:28:26,370 --> 00:28:32,510 +وVasodilator اللي يمكن أن يجعله يشكوك الـ Late + +329 +00:28:32,510 --> 00:28:39,790 +phase reaction قلنا بيحصل في خلال 48 ساعة ويستمر + +330 +00:28:39,790 --> 00:28:44,130 +في عدة أيام وهذه + +331 +00:28:44,130 --> 00:28:50,750 +ال Mediators كلها بـ and their action هذه عبارة عن + +332 +00:28:50,750 --> 00:28:54,530 +muscles اللي صارت قامت with degranulation وقدت + +333 +00:28:54,530 --> 00:28:58,440 +الارليزOvestamine, Serotonin, Heparin, Thromboxyl + +334 +00:28:58,440 --> 00:29:02,940 +-A2, Prostaglandin, Leucotrin, and Cytokine بتأثر + +335 +00:29:02,940 --> 00:29:05,460 +على الـ lymphocytes, macrophages, زنوفيل + +336 +00:29:05,460 --> 00:29:09,680 +ونيتروفيل. انظروا إلى ما يتأثر كل هذا. عن + +337 +00:29:09,680 --> 00:29:13,800 +نيتروفيل، كان هناك نيتروفيل كيموتاكتك فاكتور زي R8 + +338 +00:29:13,800 --> 00:29:18,500 +طبعاً محصلته كيموتاكسي لنيتروفيل وفاجو سايتوسيز + +339 +00:29:18,500 --> 00:29:23,060 +وطبعاً دي جرانوليش لنيتروفيل بيؤدي لزيادة لازوزايم + +340 +00:29:23,060 --> 00:29:27,230 +الإنزايم واليوكوترينو الـ Plated Activating Factor + +341 +00:29:27,230 --> 00:29:33,270 +ودول محصلتهم تشو دامج ثرمبوكسين + +342 +00:29:33,270 --> 00:29:39,170 +A2 و ساعته كان آية لتلاتة اربع خمس وثلاثاش مع + +343 +00:29:39,170 --> 00:29:43,430 +ازينوفيليك فاكتور كيموتاكتك فاكتور طبعا بيقدي + +344 +00:29:43,430 --> 00:29:50,390 +الازينوفيل كيموتاكسي و ايضا activation of ازينوفيل + +345 +00:29:50,390 --> 00:29:55,280 +و degranulationوالمحاصلة ليكوترين بلتليت اكتفات + +346 +00:29:55,280 --> 00:30:01,680 +فاكتور هستامينيز اريل سالفيز والميجر باسيك بروتين + +347 +00:30:01,680 --> 00:30:10,080 +نيرو توكسن وهيل مانث توكسن المحاصلة تشو دامج طبعا + +348 +00:30:10,080 --> 00:30:15,900 +ال both ايزينوفيل ونيتروفيل بيقدوا او are brought + +349 +00:30:15,900 --> 00:30:23,010 +into close contact with antibody coated antigenvia + +350 +00:30:23,010 --> 00:30:29,270 +Fc Receptor on these cells اللي هم Receptor للـ Fc + +351 +00:30:29,270 --> 00:30:34,410 +Epsilon Receptor ويتنتهين بيجوا وبتنشرطوا من خلال + +352 +00:30:34,410 --> 00:30:39,250 +ارتباط بال Receptors اللي على سطحهم Release of + +353 +00:30:39,250 --> 00:30:43,550 +cytokine زي 1,4,6 وTumor Metabolosis Factor Beta + +354 +00:30:43,550 --> 00:30:48,150 +بيأدى لها طبعا هذا ال infiltration of T and B + +355 +00:30:48,150 --> 00:30:53,660 +lymphocyte and macrophage وهي التلاتةو محصرتها + +356 +00:30:53,660 --> 00:30:58,660 +البرتوسايتوكايم روداكت و Antibody production و + +357 +00:30:58,660 --> 00:31:00,360 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +358 +00:31:00,360 --> 00:31:01,160 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +359 +00:31:01,160 --> 00:31:03,640 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +360 +00:31:03,640 --> 00:31:06,760 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +361 +00:31:06,760 --> 00:31:06,780 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +362 +00:31:06,780 --> 00:31:08,060 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +363 +00:31:08,060 --> 00:31:10,460 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +364 +00:31:10,460 --> 00:31:18,720 +مافي مافي مافي مافي مافي مافي مافي مافي + +365 +00:31:18,720 --> 00:31:23,620 +ماهذا طبعا إذا صار بيصير بعد يومين من ال + +366 +00:31:23,620 --> 00:31:28,980 +sensitivity وإذا صار تأثيره بيقعد أيام بيقعدش ساعة + +367 +00:31:28,980 --> 00:31:36,520 +أو ساعتين طبعا هذا figure بيبين لنا how is the + +368 +00:31:36,520 --> 00:31:40,000 +induction and effect of the mechanism في ال type + +369 +00:31:40,000 --> 00:31:45,120 +one هاي ال antigen بيدخل من خلال ال mucus membrane + +370 +00:31:45,120 --> 00:31:49,950 +تستقبله antigen presenting cellتعمل ال processing + +371 +00:31:49,950 --> 00:32:00,870 +وتقدم البرتورو البرتورو البرتورو + +372 +00:32:00,870 --> 00:32:03,510 +البرتورو البرتورو البرتورو البرتورو البرتورو + +373 +00:32:03,510 --> 00:32:03,610 +البرتورو البرتورو البرتورو البرتورو البرتورو + +374 +00:32:03,610 --> 00:32:03,710 +البرتورو البرتورو البرتورو البرتورو البرتورو + +375 +00:32:03,710 --> 00:32:06,590 +البرتورو البرتورو البرتورو البرتورو البرتورو + +376 +00:32:06,590 --> 00:32:17,570 +البرتورو البرتورو البرتورو البرتورو البرتورو + +377 +00:32:17,570 --> 00:32:22,920 +النولي سينتسايز طبعا بيصير فارمكولوجيكال افكت زي + +378 +00:32:22,920 --> 00:32:26,180 +blood vessel airway obstruction وcell infiltration + +379 +00:32:26,180 --> 00:32:31,220 +وطبعا أيضا بيصير فيه tissue damage نتيجة ال + +380 +00:32:31,220 --> 00:32:36,100 +inflammatory and cell chemotaxis and activation في + +381 +00:32:36,100 --> 00:32:40,800 +المراحل طبعا ال antigen ممكن directly يجي ويرتبط + +382 +00:32:40,800 --> 00:32:45,930 +علىفي المرة التانية اه يرتبط على ال muscle + +383 +00:32:45,930 --> 00:32:50,790 +الريزوفيل اللى جاعد على سطحها اللى هو antibody IgE + +384 +00:32:50,790 --> 00:32:56,590 +antibody و اللى سميناها sensitized cell و المراحل + +385 +00:32:56,590 --> 00:33:00,030 +المختلفة الأولى انتجين presentation ثم IgE + +386 +00:33:00,030 --> 00:33:04,010 +production ثم muscle degranulation ثم clinical + +387 +00:33:04,010 --> 00:33:07,890 +effect of + +388 +00:33:07,890 --> 00:33:13,700 +اللى هوre-exposure to the antigen هذه المراحل + +389 +00:33:13,700 --> 00:33:19,640 +المختلفة اللي بتمر فيها هذه ال .. اللي هو هذا + +390 +00:33:19,640 --> 00:33:27,620 +النوع من الحساسية طبعا هذه نفس الصورة طيب ال + +391 +00:33:27,620 --> 00:33:30,380 +clinical consequences of allergic reaction شوفوا + +392 +00:33:30,380 --> 00:33:34,120 +تبيعات ال allergic reaction كانوا بيصير في + +393 +00:33:34,120 --> 00:33:40,350 +allergic rhinitis وسمينها high fever اوطبعا اذا + +394 +00:33:40,350 --> 00:33:43,890 +كان دخل عن طريق الاشياء اللي هو او food allergy + +395 +00:33:43,890 --> 00:33:50,190 +اذا كان اكلناها او atopic dermatitis if there is + +396 +00:33:50,190 --> 00:33:58,330 +skin contact او أزمة من خلال الاشياء الارواح soul + +397 +00:33:58,330 --> 00:34:04,480 +طبعا هي الأنواع المختلفة اللي ممكن تصيرهذه ممكن + +398 +00:34:04,480 --> 00:34:08,360 +تأدي الانفلاكتك شوك، وانفلاكتك شوك يعني موت ممكن، + +399 +00:34:08,360 --> 00:34:11,880 +if untreated it can cause death clinical test + +400 +00:34:11,880 --> 00:34:17,300 +بيعملوا scan break test و طبعا بياخدوا ميلوتر موته + +401 +00:34:17,300 --> 00:34:24,260 +بانتيجين و بحقنه تحت الجلد و بيستنوا عليه تاني يوم + +402 +00:34:24,260 --> 00:34:27,910 +بيش .. و بيدوروا على ال wheel and flare responseو + +403 +00:34:27,910 --> 00:34:32,150 +الويل انفرير هي عبارة عن readiness and ادمة بتسير + +404 +00:34:32,150 --> 00:34:42,930 +خلال عشر الى خمستاشر دقيقة اه انا بعرف ال PK خلال + +405 +00:34:42,930 --> 00:34:49,090 +اللي هو اربع و عشرين ساعة ماعلينا الويل انفرير + +406 +00:34:49,090 --> 00:34:50,190 +الويل انفرير الويل انفرير الويل انفرير الويل + +407 +00:34:50,190 --> 00:34:51,990 +انفرير الويل انفرير الويل انفرير الويل انفرير + +408 +00:34:51,990 --> 00:34:52,350 +الويل انفرير الويل انفرير الويل انفرير الويل + +409 +00:34:52,350 --> 00:34:57,030 +الويل انفبالطبع هذا الـ Covalent coupling of + +410 +00:34:57,030 --> 00:35:02,690 +allergen to insoluble matrix بيكون Quotient ماشي + +411 +00:35:02,690 --> 00:35:10,290 +ال allergen بيبقى beats على سبيل المثال او اللي هو + +412 +00:35:10,290 --> 00:35:15,090 +stick دب into a sample of patient serum حطها في + +413 +00:35:15,090 --> 00:35:20,010 +ايه؟ في patient serum allowed to bind specific + +414 +00:35:20,010 --> 00:35:26,390 +antibody for allergenبعد ذلك وش الـ stick اللي هو + +415 +00:35:26,390 --> 00:35:32,030 +radio labelled antibody specific for IgE is added + +416 +00:35:32,030 --> 00:35:37,290 +بعد ذلك the amount of radio activity bound is A + +417 +00:35:37,290 --> 00:35:41,270 +major of the amount of specific IgE antibody in + +418 +00:35:41,270 --> 00:35:47,800 +the serum sampleيعني هذه بيستخدموا فيها اللي هو لو + +419 +00:35:47,800 --> 00:35:54,040 +تخيلناها عبارة عن beats او عبارة عن stick زي اللي + +420 +00:35:54,040 --> 00:36:04,000 +هو ال pregnancy test ماشي بيكون ال stick هذه عليها + +421 +00:36:04,000 --> 00:36:07,980 +ال allergen عليها ال allergen اللي هو ال antigen + +422 +00:36:07,980 --> 00:36:13,570 +اللي بده يعمل حساسيانحطها في ال patient serum عشان + +423 +00:36:13,570 --> 00:36:16,770 +ندور اذا كان في عنده antibody for that allergen + +424 +00:36:16,770 --> 00:36:20,990 +ونسيبها نديها فرصة ان ال antibody يتبط ليهاش بال + +425 +00:36:20,990 --> 00:36:24,490 +allergen اللي صار في antibody دي عادة ماسك في ال + +426 +00:36:24,490 --> 00:36:30,090 +allergen اذا موجودها ال antibody بعدين نضيف radio + +427 +00:36:30,090 --> 00:36:34,030 +labeled anti antibody يعني antibody specific for + +428 +00:36:34,030 --> 00:36:39,940 +the IgEمشي اذا موجود ال antibody ارتبط بيصير فيه + +429 +00:36:39,940 --> 00:36:45,900 +اللي هو ال second antibody بده يرتبط فيه ويصير فيه + +430 +00:36:45,900 --> 00:36:51,360 +radio labeling هذه طبعا can be measured وبنشوف + +431 +00:36:51,360 --> 00:36:54,100 +اللي هو it will be proportional to the + +432 +00:36:54,100 --> 00:36:57,860 +concentration of IgE antibody in the serum sample + +433 +00:36:57,860 --> 00:37:03,980 +intervention environmental intervention + +434 +00:37:06,860 --> 00:37:13,980 +أفضل ان اقوم باستخدام البرونكو + +435 +00:37:13,980 --> 00:37:18,620 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +436 +00:37:18,620 --> 00:37:20,620 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +437 +00:37:20,620 --> 00:37:21,060 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +438 +00:37:21,060 --> 00:37:23,320 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +439 +00:37:23,320 --> 00:37:24,440 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +440 +00:37:24,440 --> 00:37:27,780 +دايلاتر البرونكو + +441 +00:37:27,780 --> 00:37:31,520 +دايلاتر البرونكو + +442 +00:37:31,520 --> 00:37:31,800 +دايلاتر + +443 +00:37:34,580 --> 00:37:37,040 +هذه هي العلاجات اللي بتدخل immunological + +444 +00:37:37,040 --> 00:37:42,000 +intervention بيعملوا hypersensitization للمريض كي + +445 +00:37:42,000 --> 00:37:46,360 +بتتم هذه العملية by injecting the patient with + +446 +00:37:46,360 --> 00:37:50,580 +increasing doses of allergen شوية شوية بيعطوا اكتر + +447 +00:37:50,580 --> 00:38:01,190 +من dose of allergen للمريضبتحول الانتيبادي لـ IgG + +448 +00:38:01,190 --> 00:38:06,790 +وبالتالي تخلص + +449 +00:38:06,790 --> 00:38:11,870 +الحساسية الـ neutral increase in level of IgG + +450 +00:38:11,870 --> 00:38:17,640 +followed by ground degreeson continued therapy due + +451 +00:38:17,640 --> 00:38:21,520 +to induction of tolerance or to switch from Tl bar + +452 +00:38:21,520 --> 00:38:28,800 +2 to Tl bar 1 بيبقى اللي بصير انه زي زيادة في ال + +453 +00:38:28,800 --> 00:38:33,100 +concentration و AGE بيتبعها من خلال ال repeated + +454 +00:38:33,100 --> 00:38:37,740 +injection decrease in the concentration والسبب في + +455 +00:38:37,740 --> 00:38:43,520 +ذلك اما لأنه صار في tolerance ل ال antigen اللي + +456 +00:38:43,520 --> 00:38:48,740 +دخلاننا دخلنا بـ Doses مختلفة او انه صار في + +457 +00:38:48,740 --> 00:38:54,340 +switching من مدالة تي البرتولا تي البروان وبالتالي + +458 +00:38:54,340 --> 00:39:06,060 +صار في اللي هو بطل في IGE production الاستخدام + +459 +00:39:06,060 --> 00:39:11,440 +اللي هو immunized anti IGE monoclonal antibody وده + +460 +00:39:11,440 --> 00:39:19,180 +بيعملالتي لا تتعامل مع الـ IGE bound to muscle and + +461 +00:39:19,180 --> 00:39:29,300 +mesophyte برضه هذا احد الاستخدامات او + +462 +00:39:29,300 --> 00:39:34,720 +use of cytokine which can shift from TLA-2 to TLA + +463 +00:39:34,720 --> 00:39:42,760 +-1 responseأو استخدام Anti-Cytokine زي Anti-IL-4 + +464 +00:39:42,760 --> 00:39:48,260 +IL-4 طبعا responsible for IgE production فبنعمل + +465 +00:39:48,260 --> 00:39:58,460 +class switching in B cell Anti-Cytokine وCytokine + +466 +00:39:58,460 --> 00:40:04,770 +receptor antagonist نعمل blocking للرسبتورأو + +467 +00:40:04,770 --> 00:40:07,470 +administration of chemically altered allergen + +468 +00:40:07,470 --> 00:40:11,630 +which suppress a primary or established IgE + +469 +00:40:11,630 --> 00:40:17,930 +response كيميائية كيميائية كيميائية كيميائية + +470 +00:40:17,930 --> 00:40:18,990 +كيميائية كيميائية كيميائية كيميائية كيميائية + +471 +00:40:18,990 --> 00:40:25,010 +كيميائية كيميائية + +472 +00:40:25,010 --> 00:40:25,590 +كيميائية كيميائية كيميائية كيميائية كيميائية + +473 +00:40:25,590 --> 00:40:26,290 +كيميائية كيميائية كيميائية كيميائية كيميائية + +474 +00:40:26,290 --> 00:40:26,310 +كيميائية كيميائية كيميائية كيميائية كيميائية + +475 +00:40:26,310 --> 00:40:29,030 +كيميائية كيميائية كيميائية كيميائية كيميائية + +476 +00:40:29,030 --> 00:40:33,230 +كيميائية كيميائية كيميائية كيميائية كيميائية ك + +477 +00:40:34,770 --> 00:40:40,610 +بأكتر من طريقة ممكن يستخدموها to treat this + +478 +00:40:40,610 --> 00:40:46,590 +patient ال protective دور ل IGE هو برعا protective + +479 +00:40:46,590 --> 00:40:51,470 +إلا إنه هنا هو أمل أن ده مشاكل طبعا ال response to + +480 +00:40:51,470 --> 00:40:56,470 +many parasitic war favor the induction of IGE his + +481 +00:40:56,470 --> 00:40:58,530 +to mean another mediator associated with + +482 +00:40:58,530 --> 00:41:02,930 +anaphylactic responseيتم إطلاقها في إجارة الـ + +483 +00:41:02,930 --> 00:41:07,230 +worm، الـ antigen، الـ cross-linking، الـ IgE، على + +484 +00:41:07,230 --> 00:41:13,330 +الأرض المضمونة و البيزوفيل و الزينوفيل. طبعا + +485 +00:41:13,330 --> 00:41:18,410 +الإرتباط بيؤدي إلى زيادة الـ permeability، بسبب + +486 +00:41:18,410 --> 00:41:25,850 +إستعمال الـ release، وهذا بيؤدي إلى الـ IgE + +487 +00:41:25,850 --> 00:41:28,790 +-Antibody في موقع الـ worm infestation. + +488 +00:41:40,310 --> 00:41:44,150 +الإيزينوفيل مرتبط بالعضلات الـ IGG والعضلات IGG + +489 +00:41:44,150 --> 00:41:46,530 +مرتبط بالعضلات IGG والعضلات IGG مرتبط بالعضلات IGG + +490 +00:41:46,530 --> 00:41:49,570 +والعضلات IGG + +491 +00:41:49,570 --> 00:41:49,790 +مرتبط بالعضلات IGG والعضلات IGG مرتبط بالعضلات IGG + +492 +00:41:49,790 --> 00:41:50,330 +والعضلات IGG مرتبط بالعضلات IGG والعضلات IGG مرتبط + +493 +00:41:50,330 --> 00:41:50,430 +بالعضلات IGG مرتبط بالعضلات IGG مرتبط بالعضلات IGG + +494 +00:41:50,430 --> 00:41:52,550 +مرتبط بالعضلات IGG مرتبط بالعضلات IGG مرتبط + +495 +00:41:52,550 --> 00:41:59,770 +بالعضلات IGG مرتبط بالعضلات IGG مرتبط بالعضلات IGG + +496 +00:41:59,770 --> 00:42:03,570 +مرتبط بالعضلات IGG مرتبط بالعضل + +497 +00:42:06,920 --> 00:42:12,540 +contact وطبعا هذا يجعل الانتجار + +498 +00:42:12,540 --> 00:42:15,620 +انتباهي على سطح ال ورم وهذا بنشتت complement + +499 +00:42:15,620 --> 00:42:21,460 +وبالتالي يتخلص من ال ورم نبدأ لو لخصنا هذه العملية + +500 +00:42:21,460 --> 00:42:26,480 +هم يقولوا ان الهستامين و اخر مدياترين شو بيعملوا؟ + +501 +00:42:26,480 --> 00:42:29,120 +يقولوا بيعملوا anaphylactic shock شو السبب؟ يقولوا + +502 +00:42:29,120 --> 00:42:34,630 +بيصير فيه زيادة طبعا يوم ما تخش ال ورمماشي هيصير + +503 +00:42:34,630 --> 00:42:38,630 +في IgE الـ cross linking على سطح ال muscle + +504 +00:42:38,630 --> 00:42:42,110 +والبيزوفيل فهيصير في degradation و IgE وهستمين + +505 +00:42:42,110 --> 00:42:49,690 +ومجموعته طبعا بالاضافة الى ال IgG الهستمين الريليز + +506 +00:42:49,690 --> 00:42:53,250 +مصير في IgG Antimony production في منطقة الحدث + +507 +00:42:53,250 --> 00:42:57,150 +طبعا ال IgG بالمناسبة اللي هو ال receptor على سطح + +508 +00:42:57,150 --> 00:43:03,070 +الازينوفيلالإيزينوفيل نتيجة أيضًا الـ chemotactic + +509 +00:43:03,070 --> 00:43:12,990 +factor اللي بتفرز بتصل إلى منطقية ال worm و بتطبط + +510 +00:43:12,990 --> 00:43:19,810 +فيه من خلال ال IGG receptor اللي على سطحها اللي + +511 +00:43:19,810 --> 00:43:25,970 +already بيكون ماسك في ال worm وبالتالي صار في + +512 +00:43:25,970 --> 00:43:30,290 +الإيزينوفيل ماسك يا بال worm من خلال مينمن خلال + +513 +00:43:30,290 --> 00:43:33,730 +الـ IgG Antibody فبالتالي بتعمل Degranulation + +514 +00:43:33,730 --> 00:43:40,190 +وبتعمل التخلص من ال Parasites لازم في ال Express + +515 +00:43:40,190 --> 00:43:47,090 +Low Affinity to FC Receptor by GEو طبعا هذا بيؤدي + +516 +00:43:47,090 --> 00:43:54,030 +الى ارتباط of these cells او any cells على سطح IGE + +517 +00:43:54,030 --> 00:43:59,830 +antibody IGE بيكون قاعد على سطح مين؟ على سطح ال + +518 +00:43:59,830 --> 00:44:06,530 +worm ال major basic protein released by isomorphic + +519 +00:44:06,530 --> 00:44:12,870 +granulesتعمل كوتينج لـ Surface of worm و هذا بيؤدي + +520 +00:44:12,870 --> 00:44:20,330 +الى ال death of worm and its eventual explosion + +521 +00:44:20,330 --> 00:44:26,210 +from the body. All component of type 1 reaction + +522 +00:44:26,210 --> 00:44:31,270 +combine to perform this protective function كلها + +523 +00:44:31,270 --> 00:44:36,490 +beneficial effects suggest that the wide range of + +524 +00:44:36,490 --> 00:44:41,520 +responseالذي يتعلق بالانتباد الـ IgE قد يتعلق + +525 +00:44:41,520 --> 00:44:48,420 +باستخدام تجارب تجارب الانتباد الهوارم يعني الجانب + +526 +00:44:48,420 --> 00:44:52,380 +الحسن في هذا النوع من في افراز او في تكوين + +527 +00:44:52,380 --> 00:44:59,700 +الانتباد انه it can نقدر نتخلص من الانه it's + +528 +00:44:59,700 --> 00:45:04,580 +released during worm infestation وبالتالي يوم ما + +529 +00:45:06,190 --> 00:45:12,710 +يفرز في وجود parasites المحصلة من خلص أو تخلص من + +530 +00:45:12,710 --> 00:45:19,350 +ال parasites وهي + +531 +00:45:19,350 --> 00:45:29,830 +طبعا هاي ميوكوزا ال membrane دخل ال worm ماشي و + +532 +00:45:29,830 --> 00:45:30,350 +طبعا + +533 +00:45:34,660 --> 00:45:40,820 +دخل الـ Antigen تبعه لجهة + +534 +00:45:40,820 --> 00:45:48,620 +IGE موجودة على سطح الخلايا و أيضا بيزيد في وجود ال + +535 +00:45:48,620 --> 00:45:52,720 +worm فهي انتبهت بال Antigen تبع ال worm قدأ إلى + +536 +00:45:52,720 --> 00:45:56,940 +نشاطه فصار فيه Degradation من ضمنها الهستامين + +537 +00:45:58,530 --> 00:46:02,970 +الإيزينوفيل كيموتاكتك فاكتر ونيتروفيل كيموتاكتك + +538 +00:46:02,970 --> 00:46:07,850 +فاكتر طبعا كلهم بيصلوا إلى منطقة الحدث هبيزودوا + +539 +00:46:07,850 --> 00:46:13,030 +بيزيد ال permeability to + +540 +00:46:13,030 --> 00:46:18,670 +IgG and white blood cell تبدأ تطلع هذه ال antibody + +541 +00:46:18,670 --> 00:46:22,170 +مرة + +542 +00:46:22,170 --> 00:46:27,380 +تانية من ال mycosal membrane على ال wormبترتبط بال + +543 +00:46:27,380 --> 00:46:32,580 +worm وبتيجي ال neutrophil وال eosinophil بترتبط + +544 +00:46:32,580 --> 00:46:38,660 +بال antibody من خلال ال FC portion وبتخلصنا من ال + +545 +00:46:38,660 --> 00:46:47,080 +antibodyهذا تلخيص لكيف بيتم التخلص من ال parasites + +546 +00:46:47,080 --> 00:46:52,380 +مرة تانية هي ال parasites بيخش من خلال ال mucosal + +547 +00:46:52,380 --> 00:46:57,060 +membrane اللي هو ال antigen أو ال parasites بناء + +548 +00:46:57,060 --> 00:47:04,160 +في التشوعة أو في ال intestine ماشي فبتتلقف و طبعا + +549 +00:47:04,160 --> 00:47:08,340 +برتبط + +550 +00:47:08,340 --> 00:47:15,090 +بالعلى سطح المعصّل بيصير فيه Degranulation بيصير + +551 +00:47:15,090 --> 00:47:18,170 +فيه Release لاس دمينو كيمو تاكتك فاكتور لنيتروفيل + +552 +00:47:18,170 --> 00:47:23,650 +ونيتروفيل بيصلوا بيزيدوا في منطق طبعا في ال blood + +553 +00:47:23,650 --> 00:47:26,990 +vessels طبعا هذا بيزيد ال permeability فبتطلعوا + +554 +00:47:26,990 --> 00:47:33,360 +برا هم هو ال IGEG Antibodyاللي بيطلع طبعا ما زال + +555 +00:47:33,360 --> 00:47:37,320 +صار في increase للبرمي عملتها برا وبرتبط بيهاش بال + +556 +00:47:37,320 --> 00:47:41,080 +worm طبعا هاي ال antibody ارتبط بال worm من خلال + +557 +00:47:41,080 --> 00:47:45,080 +ال fabrication اللي فالت ال FC portion له receptor + +558 +00:47:45,080 --> 00:47:49,940 +على سطح الethanofil و ال neutrophil اللي بيتنشطوا + +559 +00:47:49,940 --> 00:47:53,460 +بيتبرطبطوا و بيتنشطوا و بيعملوا degradation و + +560 +00:47:53,460 --> 00:48:00,180 +بيخلصونا من الهاش من ال wormهذا النوع الأول من + +561 +00:48:00,180 --> 00:48:06,140 +الحساسية النوع التاني هو ال antibody which is also + +562 +00:48:06,140 --> 00:48:11,220 +antibody mediated cytotoxic + +563 +00:48:11,220 --> 00:48:12,040 +reaction + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..ac4f9c4eddff31911263ac4c77b3ebdaf11893e9 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 3156, "start": 2.02, "end": 31.56, "text": "بسم الله الرحمن الرحيم والصلاة والسلام علي سيد الخلق أجمعين ننتقل اليوم إن شاء الله إلى الجزء الكنيكي من المناعة ويبدأ بأول هذه 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hypersensitivity reaction both muscle and basophil have the receptor اللي هو ال FC epsilon receptor one", "tokens": [45340, 3615, 9381, 2288, 13672, 1829, 8717, 7435, 2407, 11296, 3714, 29245, 23328, 3660, 8978, 3390, 20117, 926, 264, 3390, 20117, 294, 264, 1745, 488, 12404, 3714, 29245, 23328, 3660, 19628, 281, 264, 5228, 293, 294, 264, 16730, 37037, 24192, 23032, 3555, 3615, 995, 16247, 15042, 19452, 21542, 3794, 32277, 3660, 13672, 31371, 6055, 2655, 10721, 49115, 4032, 1829, 9381, 13546, 8978, 11296, 4344, 807, 264, 7420, 433, 694, 270, 4253, 5480, 1293, 8679, 293, 987, 5317, 388, 362, 264, 32264, 13672, 1829, 31439, 2423, 27168, 17889, 32264, 472], "avg_logprob": -0.32899306184715693, "compression_ratio": 1.5219123505976095, "no_speech_prob": 0.0, "words": [{"start": 693.32, "end": 693.98, "word": "المعصر", "probability": 0.462066650390625}, {"start": 693.98, "end": 694.52, "word": " اللي", "probability": 0.65283203125}, {"start": 694.52, "end": 695.22, "word": " نجوها", 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بيستخدموا فيها اللي هو لو تخيلناها عبارة عن beats او عبارة عن stick زي اللي هو ال pregnancy test ماشي بيكون ال stick هذه عليها ال allergen عليها ال allergen اللي هو ال antigen اللي بده يعمل حساسيا", "tokens": [40228, 22653, 29538, 4724, 1829, 14851, 9778, 40448, 14407, 8978, 11296, 13672, 1829, 31439, 45164, 6055, 9778, 26895, 8315, 11296, 6225, 3555, 9640, 3660, 18871, 16447, 1975, 2407, 6225, 3555, 9640, 3660, 18871, 2897, 30767, 1829, 13672, 1829, 31439, 2423, 16120, 1500, 3714, 33599, 1829, 4724, 1829, 30544, 2423, 2897, 29538, 25894, 11296, 2423, 8722, 1766, 25894, 11296, 2423, 8722, 1766, 13672, 1829, 31439, 2423, 2511, 3213, 13672, 1829, 47525, 3224, 7251, 25957, 1211, 11331, 3794, 32277, 25528], "avg_logprob": -0.18552215831189217, "compression_ratio": 1.797752808988764, "no_speech_prob": 0.0, "words": [{"start": 2143.6, "end": 2143.96, "word": "يعني", "probability": 0.769287109375}, {"start": 2143.96, "end": 2144.22, "word": " هذه", "probability": 0.341552734375}, {"start": 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a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..10270714e770f245d80ce6a9711aed043a7cd373 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/XhNdT_-rbsc_raw.srt @@ -0,0 +1,2308 @@ +1 +00:00:02,020 --> 00:00:06,140 +بسم الله الرحمن الرحيم والصلاة والسلام علي سيد + +2 +00:00:06,140 --> 00:00:11,320 +الخلق أجمعين ننتقل اليوم إن شاء الله إلى الجزء + +3 +00:00:11,320 --> 00:00:20,940 +الكنيكي من المناعة ويبدأ بأول هذه الأمراض وهو ال + +4 +00:00:20,940 --> 00:00:26,140 +hyper sensitivity reaction ال hyper sensitivity + +5 +00:00:26,140 --> 00:00:30,540 +تعريفا هي برعن حالة بيصير فيها over reactivity لل + +6 +00:00:30,540 --> 00:00:38,740 +immune responseوهذا يؤدي إلى deleterious بمعنى + +7 +00:00:38,740 --> 00:00:45,420 +بيؤدي إلى أذية وليس إلى نظام حماية في الجسم بيصير + +8 +00:00:45,420 --> 00:00:47,260 +ال immune response + +9 +00:00:49,670 --> 00:00:58,770 +من من من مضاعفاته انه يصير فيه damage و يصير فيه + +10 +00:00:58,770 --> 00:01:03,990 +pain و يصير فيه كل ال inflammatory signs بيعاني + +11 +00:01:03,990 --> 00:01:13,990 +منها المريض انواع ال hyper sensitivity هم اربع + +12 +00:01:13,990 --> 00:01:21,230 +انواع سموهم ادوهم ارقامtype 1 وtype 2 وtype 3 + +13 +00:01:21,230 --> 00:01:26,870 +وtype 4 اللى عرفهم على two scientists واحد اسمه + +14 +00:01:26,870 --> 00:01:33,330 +كومس والتانى اسمه جيل النوع الاول سموه immediate + +15 +00:01:33,330 --> 00:01:40,050 +hypersensitivity allergy وهو برعن IGE mediated + +16 +00:01:40,050 --> 00:01:46,930 +reaction بمعنى ان فى antibody mediatedThe reaction + +17 +00:01:46,930 --> 00:01:52,590 +وهذا الانتيبادي هو عبارة عن IgE انتيبادي It's + +18 +00:01:52,590 --> 00:01:58,230 +stimulated the reaction is stimulated by the IgE + +19 +00:01:58,230 --> 00:02:05,650 +يوم يرتبط برسيبتور تبعه على سطح المصل والبيزوفيل + +20 +00:02:05,650 --> 00:02:10,450 +والرسيبتور هو عبارة عن FC ارتباطه من خلال ال FC + +21 +00:02:10,450 --> 00:02:13,430 +portion of + +22 +00:02:16,350 --> 00:02:21,650 +antibody يعني اللي فالت بيظل الفاب و ال receptor + +23 +00:02:21,650 --> 00:02:28,250 +بيسموه FC epsilon R1 once + +24 +00:02:28,250 --> 00:02:34,650 +cross linked okay بمعنى ال antigen صاروا cross + +25 +00:02:34,650 --> 00:02:38,790 +linking two antigen two antibody are cross linked + +26 +00:02:38,790 --> 00:02:44,560 +with the same antigenالـ IgE بيعمل تحذير للمسل + +27 +00:02:44,560 --> 00:02:47,400 +والبيزوفيل لتحذيره بشكل ديجرانيوليكي لتحذيره بشكل + +28 +00:02:47,400 --> 00:02:47,740 +ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي لتحذيره + +29 +00:02:47,740 --> 00:02:49,760 +بشكل ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي + +30 +00:02:49,760 --> 00:02:52,220 +لتحذيره بشكل ديجرانيوليكي لتحذيره بشكل + +31 +00:02:52,220 --> 00:02:52,260 +ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي لتحذيره + +32 +00:02:52,260 --> 00:02:55,420 +بشكل + +33 +00:02:55,420 --> 00:02:59,420 +ديجرانيوليكي لتحذيره بشكل ديجرانيوليكي لتحذيره + +34 +00:02:59,420 --> 00:03:05,980 +بشكل + +35 +00:03:05,980 --> 00:03:16,560 +ديجرbe away from protection يعني المريض بيكون دخل + +36 +00:03:16,560 --> 00:03:23,260 +في مرحلة خاطرة reaction usually is rapid بيصير + +37 +00:03:23,260 --> 00:03:27,700 +within minutes after challenge بمعنى after the + +38 +00:03:27,700 --> 00:03:35,680 +exposure to the antigen type twoبسموه cytolytic or + +39 +00:03:35,680 --> 00:03:41,980 +cytotoxic reaction or cure وهو طبعا أيضا antibody + +40 +00:03:41,980 --> 00:03:46,420 +mediated يوم يكون ال IGM أو ال IGE يرتبط بانتجن + +41 +00:03:46,420 --> 00:03:49,980 +على سطح الخلايا وهو بينشط لنا complement و ال + +42 +00:03:49,980 --> 00:03:56,780 +complement بتكسر الخلية اللي اتنشطت عليها type 3 + +43 +00:03:56,780 --> 00:04:03,280 +اللي بيصير فيه immune complex formationبمعنى + +44 +00:04:03,280 --> 00:04:07,980 +Immune Complex Reaction بيصير وبتتجمع ال Immune + +45 +00:04:07,980 --> 00:04:12,120 +بالانتجن طبعا وال IGM وال IGG أيضا Antibody + +46 +00:04:12,120 --> 00:04:17,440 +Mediated بتبدأ تتجمع هذه ال Complexes in + +47 +00:04:17,440 --> 00:04:21,980 +circulation or in tissue وبرضه بنشطه ال complement + +48 +00:04:21,980 --> 00:04:28,040 +أيضا ال Granulocyte في هذه الحالة is recruited is + +49 +00:04:28,040 --> 00:04:30,860 +attracted to the site of vaccination او of + +50 +00:04:30,860 --> 00:04:36,090 +activationوهي أيضا بيؤدي الى damage of tissue by + +51 +00:04:36,090 --> 00:04:40,590 +the enzyme from granulocytes and this also occur + +52 +00:04:40,590 --> 00:04:48,390 +within hours from challenge with antigen نوع + +53 +00:04:48,390 --> 00:04:53,810 +الرابع cell mediated يعني التلاتة الأولانيين هم + +54 +00:04:53,810 --> 00:04:57,310 +عبارة عن antimode mediated بينما الرابع هو عبارة + +55 +00:04:57,310 --> 00:05:01,800 +عن cell mediated immunityواللي بيصير فيه delete + +56 +00:05:01,800 --> 00:05:08,820 +type hypersensitivity reaction المحصلة نشاط ل CD4 + +57 +00:05:08,820 --> 00:05:16,480 +T-Helper cell و CD8 cytotoxic cell ايضا لما تتنشط + +58 +00:05:16,480 --> 00:05:21,000 +ال CD4 T-Helper cell بتنشط لنا ال different + +59 +00:05:21,000 --> 00:05:25,580 +cytokine which recruit and activate macrophage + +60 +00:05:25,580 --> 00:05:29,320 +وبالتالي ال macrophage بيعمل damage ايضا + +61 +00:05:32,950 --> 00:05:37,170 +Tissue بس ال reaction بصير within days or weeks + +62 +00:05:37,170 --> 00:05:41,010 +after challenge with antigen لأنه من هذا المطلق + +63 +00:05:41,010 --> 00:05:46,950 +بيسموها delete type hypersensitivity reaction نبدأ + +64 +00:05:46,950 --> 00:05:49,850 +بأول هذه الأنواع ونحكي في type one + +65 +00:05:49,850 --> 00:05:55,350 +hypersensitivity reaction ونحكي بال phases of + +66 +00:05:55,350 --> 00:06:00,010 +allergic reaction يعني this reaction usually have + +67 +00:06:00,010 --> 00:06:03,230 +three phasesالـ phase الأولاني بيسموه + +68 +00:06:03,230 --> 00:06:08,450 +sensitization phase sensitization phase بمعنى انه + +69 +00:06:08,450 --> 00:06:14,930 +تكون ال IgE تكون ال IgE in response to antigenic + +70 +00:06:14,930 --> 00:06:18,950 +stimulus وارتبط في ال receptor تبعه على سطح المصر + +71 +00:06:18,950 --> 00:06:25,030 +والبيزوفيل يعني فقط تكون ال IgE ال antibody و جاعد + +72 +00:06:25,030 --> 00:06:30,610 +على سطح الخلايا من خلال ارتباطه بال receptor تبعه + +73 +00:06:32,190 --> 00:06:37,710 +الفز التاني اللي هو ال activation phase طبعا upon + +74 +00:06:37,710 --> 00:06:43,390 +the exposure to the same antigen it will trigger + +75 +00:06:43,390 --> 00:06:48,030 +وارتباط ال antibody بهذا ال antigen it will + +76 +00:06:48,030 --> 00:06:54,830 +trigger muscle and basophil to respond و the + +77 +00:06:54,830 --> 00:06:59,230 +response يعني انه they degranulate they release + +78 +00:06:59,230 --> 00:07:04,350 +their granulesالـ Phase التالت وهو الـ Effect of + +79 +00:07:04,350 --> 00:07:07,910 +Phase وهو تأثير الـ Granules شو بعمل؟ Complex + +80 +00:07:07,910 --> 00:07:14,050 +Response لأنه في مجموعة كبيرة من الـ Granules + +81 +00:07:14,050 --> 00:07:19,150 +بتطلع كل واحد له Effect معين فالمحصلة هو عبارة عن + +82 +00:07:19,150 --> 00:07:22,950 +Complex Response من ال .. بيقدر إلى Many + +83 +00:07:22,950 --> 00:07:28,850 +Inflammatory Reactionsبسبب إطلاق الكثير من + +84 +00:07:28,850 --> 00:07:35,650 +الانفلاماتوري ميدياتر بشكل عضو و بيزوفيل طبعا + +85 +00:07:35,650 --> 00:07:41,570 +ما حصلت هذا الكلام ان هناك إشيارات و الشيارات تظهر + +86 +00:07:41,570 --> 00:07:49,200 +بإيجزمة و أزمة و رينايتس و هكذاطيب شو اللي بيصير + +87 +00:07:49,200 --> 00:07:52,220 +في ال sensitization phase؟ قالوا ال immunoglobulin + +88 +00:07:52,220 --> 00:07:56,500 +هو المسئول عن ال allergic reaction واتفقنا على انه + +89 +00:07:56,500 --> 00:08:04,520 +هو ال IGA it occurs usually by + +90 +00:08:04,520 --> 00:08:09,680 +any means of contact بما فيها skin contact or + +91 +00:08:09,680 --> 00:08:13,560 +through injection or through injection of and + +92 +00:08:13,560 --> 00:08:21,080 +inhalation to the antigenفي مصطلحين بيصاحبوا هذه + +93 +00:08:21,080 --> 00:08:27,340 +الحالة الأولاني هو ال hay fever وهو مصطلح نقصد فيه + +94 +00:08:27,340 --> 00:08:34,700 +ان الانتجين جاء from airport allergen او source ال + +95 +00:08:34,700 --> 00:08:41,760 +atopy أيضا بيعني ان ال IGE related + +96 +00:08:41,760 --> 00:08:43,640 +hypersensitivity reaction + +97 +00:08:47,060 --> 00:08:52,000 +والمرضى اللى بيسموه عندهم هذا النوع من ال reaction + +98 +00:08:52,000 --> 00:09:00,020 +بيسموهم atopic patient atopic patient ال + +99 +00:09:00,020 --> 00:09:07,140 +R G E response are genetically controlled و الجين + +100 +00:09:07,140 --> 00:09:11,760 +اللى ي control the I G E antibody هم عبارة عن M H + +101 +00:09:11,760 --> 00:09:16,120 +C linked gene موجودين على كرمزوم رقم 6أيضًا + +102 +00:09:16,120 --> 00:09:20,100 +control موجود + +103 +00:09:20,100 --> 00:09:24,400 +من خلال other regulatory gene زي الجينات المسؤولة + +104 +00:09:24,400 --> 00:09:28,520 +عن ال FCE receptor وهذا موجودين على كرمزوم رقم + +105 +00:09:28,520 --> 00:09:34,640 +اتنين كمان الجينات اللي موجودين for T لبرتوك and + +106 +00:09:34,640 --> 00:09:39,380 +IL4 gene وطبعًا هدولة موجودين على كرمزوم رقم خمسة + +107 +00:09:40,600 --> 00:09:45,920 +بيحتوى على عدة جينات منهم الى فرق آية لتلاتة أو + +108 +00:09:45,920 --> 00:09:49,500 +أربعة أو خمسة أو تسعة أو تلاتاش وبالتالي عبارة عن + +109 +00:09:49,500 --> 00:09:54,020 +مجموعة من الجينات طبعا over expression of these + +110 +00:09:54,020 --> 00:10:04,260 +genes بيعني زيادة في هذا النوع من الحساسية ال + +111 +00:10:04,260 --> 00:10:09,440 +ITE antibody production اتفقنا على أن هذه المرتوسة + +112 +00:10:09,440 --> 00:10:14,210 +ال dependentو بما اننا بنحكي على T helper 2 يبقى + +113 +00:10:14,210 --> 00:10:19,150 +آيال 4 و آيال 13 ساعته كان بلعب دور كبير في هذا + +114 +00:10:19,150 --> 00:10:25,770 +الموضوع في تنشيط T helper 2 و لو استخدمنا Anti-IL + +115 +00:10:25,770 --> 00:10:33,370 +-4 Antibody it will mimic and inhibit the IgE + +116 +00:10:33,370 --> 00:10:37,230 +production أيضا + +117 +00:10:38,850 --> 00:10:43,870 +وجدوا ان ال concentration of IL-4 او level of IL-4 + +118 +00:10:43,870 --> 00:10:49,350 +في هدول الأشخاص is higher than non allergic one + +119 +00:10:49,350 --> 00:10:54,950 +ايضا ال IGE level are also higher than the first + +120 +00:10:54,950 --> 00:11:04,190 +group اللي هو IL-4 IL-13 group طبعا + +121 +00:11:04,190 --> 00:11:06,050 +once exposure to the allergen + +122 +00:11:09,990 --> 00:11:21,270 +بعد مراجعةه ثانوية مرة، يعتبر الشخص مستشعر، والـ + +123 +00:11:21,270 --> 00:11:27,210 +IgE، عفوا، بمجرد مدخول الـ Allergen، الـ IgE بتكون + +124 +00:11:27,210 --> 00:11:31,470 +أو موجود على سطح الخلايا من خلال ارتباطه بالـ + +125 +00:11:31,470 --> 00:11:36,760 +Receptor تبعه.المعصر اللي نجوها موجودة في blood + +126 +00:11:36,760 --> 00:11:39,680 +vessels around the blood vessels in the connective + +127 +00:11:39,680 --> 00:11:45,940 +tissue موجودة lining to the gut and in the lung + +128 +00:11:45,940 --> 00:11:49,620 +وهذه طبعا الأماكن الحساسة اللتي تتأثر ويصير فيها + +129 +00:11:49,620 --> 00:11:56,620 +damage through the hypersensitivity reaction both + +130 +00:11:56,620 --> 00:12:00,540 +muscle and basophil have the receptor اللي هو ال + +131 +00:12:00,540 --> 00:12:05,220 +FC epsilon receptor onewhich point to IgE من خلال + +132 +00:12:05,220 --> 00:12:10,380 +ال Fc portion ماشي يعني اللي فالت على سطح الخلية + +133 +00:12:10,380 --> 00:12:16,280 +هو ال Fab region و it will remain sensitized these + +134 +00:12:16,280 --> 00:12:21,780 +cells will remain sensitized and their activation + +135 +00:12:21,780 --> 00:12:28,080 +occur when antigen comes in contact with them فقط + +136 +00:12:28,080 --> 00:12:32,070 +يعني في المرة الأولانية فقطالتعرض الأولاني + +137 +00:12:32,070 --> 00:12:36,510 +للانتيجين فقط بيتكون ال antibody و بقعد على سطح + +138 +00:12:36,510 --> 00:12:40,490 +الخلايا و بنعتبر المريض sensitized upon second + +139 +00:12:40,490 --> 00:12:43,910 +exposure to the same antigen هيكون ال antibody + +140 +00:12:43,910 --> 00:12:48,270 +جاهز بيستنى ال antigen و لما يحصل cross linking + +141 +00:12:48,270 --> 00:12:49,410 +بيحصل فيه activation + +142 +00:12:52,370 --> 00:12:55,710 +الـ Passive Synthesization is achieved by + +143 +00:12:55,710 --> 00:12:58,530 +transferring يعني ممكن الواحد ياخد الحساسية من + +144 +00:12:58,530 --> 00:13:03,590 +واحد تاني طبعا إذا أخد منه Serum وبيحتوي على الـ + +145 +00:13:03,590 --> 00:13:11,890 +IgA Antibody to specific antigen بيسمو العملية + +146 +00:13:11,890 --> 00:13:18,330 +Passive Synthesization وهذا ما يحدث في Prosnets + +147 +00:13:18,330 --> 00:13:24,760 +Kostner Testالذي من خلاله نستطيع نحكي الـ antibody + +148 +00:13:24,760 --> 00:13:28,700 +responsible for anaphylactic reaction واحد عنده + +149 +00:13:28,700 --> 00:13:35,180 +حساسية بنعمله ال PKA test اللي هو بروسنيتز كوسنر + +150 +00:13:35,180 --> 00:13:42,660 +تست بنشوف من خلاله انه في عنده antibody which can + +151 +00:13:42,660 --> 00:13:48,120 +cause anaphylactic reaction or not طبعا كلكم + +152 +00:13:48,120 --> 00:13:52,050 +تعرفوا ال ايه ال TBreaction اللي هو بيعمل wheel + +153 +00:13:52,050 --> 00:13:58,290 +and flare reaction في ال skin شو اللي بيصير في هذا + +154 +00:13:58,290 --> 00:14:05,350 +الفحص انه الإنسان اللي عنده allergy for x antigen + +155 +00:14:05,350 --> 00:14:09,830 +بناخد + +156 +00:14:09,830 --> 00:14:14,850 +منه ال serum و بنعمله injection into non allergic + +157 +00:14:14,850 --> 00:14:21,160 +person فبصير عنده antibody من نوع IgEالذين يقومون + +158 +00:14:21,160 --> 00:14:29,140 +بإدخال مصدر و بيزوفيل طبعا مرة انتجت بانتجين X + +159 +00:14:29,140 --> 00:14:35,120 +سيسبب فيها تفاعل ارتكاريال طبعا + +160 +00:14:35,120 --> 00:14:40,180 +هذه التفاعل هي حيث ان الحيوان مستشعر بشكل مستشعر + +161 +00:14:40,180 --> 00:14:46,660 +مستشعر + +162 +00:14:47,880 --> 00:14:52,440 +هو بيسموها التفاعل passive cutaneous anaphylaxis + +163 +00:14:52,440 --> 00:14:57,240 +انه بيصير على ال skin هو ده بيصير حقا تحت ال skin + +164 +00:14:57,240 --> 00:15:00,760 +هو بيصير على ال skin will and flare reaction + +165 +00:15:00,760 --> 00:15:08,600 +وبيسموها passive cutaneous anaphylaxis وهي ال + +166 +00:15:08,600 --> 00:15:14,700 +activation زي مين دي عبارة عن muscle على سطحه + +167 +00:15:14,700 --> 00:15:20,120 +receptor ده هو ال receptorfor IgE FCEpsilon-R1 + +168 +00:15:20,120 --> 00:15:27,480 +Receptor ارتبط فيه الانتيبادي IGE وطبعا هي + +169 +00:15:27,480 --> 00:15:33,000 +الانتيبادي يوم دخل الانتيجين وصار cross linking + +170 +00:15:33,000 --> 00:15:39,440 +يعني مسكتوا انتيبادي مع بعض نشطت ال muscle وعملت + +171 +00:15:39,440 --> 00:15:44,020 +degranulation هي ال degranulation occur بوضوح في + +172 +00:15:44,020 --> 00:15:44,620 +هذه الحالة + +173 +00:15:49,130 --> 00:15:52,530 +الـ activation phase of allergic reaction بيبدأ by + +174 +00:15:52,530 --> 00:15:56,350 +triggering the muscle to release their content and + +175 +00:15:56,350 --> 00:16:02,550 +inflammatory mediators in + +176 +00:16:02,550 --> 00:16:07,370 +the medium ايضا it occurs it requires to at least + +177 +00:16:07,370 --> 00:16:13,550 +two of the receptorof the FC region of IgE + +178 +00:16:13,550 --> 00:16:17,270 +molecule to be bridged يعني قلنا لكوا بده يحصل فيه + +179 +00:16:17,270 --> 00:16:21,670 +cross-linking between two receptors من خلال + +180 +00:16:21,670 --> 00:16:29,850 +ارتباطهم with one antigen المحصلة، + +181 +00:16:29,850 --> 00:16:34,950 +المحصلة أثارة الكلام ان المحصلة الـ Degranulate هو + +182 +00:16:34,950 --> 00:16:39,070 +الـ Degranulation بيعتمدالـ Inflammatory reaction + +183 +00:16:39,070 --> 00:16:43,150 +بيعتمد على ال dose of antigen and route of entry + +184 +00:16:43,150 --> 00:16:50,690 +route of entry كيف دخل الانتجن فعلى سبيل المثال if + +185 +00:16:50,690 --> 00:16:54,530 +it degranulate in the GIT يعني gastrointestinal + +186 +00:16:54,530 --> 00:16:59,670 +tract it will cause fluid secretion and + +187 +00:16:59,670 --> 00:17:05,750 +peristalsis to occur والمحصلة ديارية و vomiting + +188 +00:17:06,740 --> 00:17:12,080 +يعني واحد عنده حصصية دخلت عن طريق الجسد الأكل ممكن + +189 +00:17:12,080 --> 00:17:18,100 +يصير فيه اللي هو سال و نتج و الجهاز الهضمى هو من + +190 +00:17:18,100 --> 00:17:23,980 +يتأثر في ال lung إذا كان by inhalation ماشي it + +191 +00:17:23,980 --> 00:17:30,020 +decrease in airway diameter و بيصير فيه plackage + +192 +00:17:30,020 --> 00:17:35,180 +of the airways يعني بتتيق + +193 +00:17:36,000 --> 00:17:44,020 +اللي هو ال airways diameter و بيصير فيه ضيق في + +194 +00:17:44,020 --> 00:17:48,980 +التنفس in blood vessels هذا بيعمل vascular + +195 +00:17:48,980 --> 00:17:52,980 +permeability يبقى حسب المكان اللي إيش اللي صار فيه + +196 +00:17:52,980 --> 00:17:57,960 +ال reaction بيصير فيه symptoms مصاحبة لإيه + +197 +00:18:00,580 --> 00:18:08,920 +حسب المكان بتختلف باختلاف المكان طبعا ال severity + +198 +00:18:08,920 --> 00:18:14,480 +بتختلف باختلاف ال dose وهذه + +199 +00:18:14,480 --> 00:18:22,720 +الصورة بيبين لنا different ways اللي من خلالها ال + +200 +00:18:22,720 --> 00:18:26,980 +muscle و ال basal field عملت degranulation فزي ما + +201 +00:18:26,980 --> 00:18:32,070 +انتوا شايفينطبعا هنا في عندنا محصل already + +202 +00:18:32,070 --> 00:18:36,750 +sensitized على نفسها antibody يوم يصير في bridging + +203 +00:18:36,750 --> 00:18:41,270 +between these two antibodies by even anti-IgE + +204 +00:18:41,270 --> 00:18:49,190 +هيصير في الهو degranulation ايضا هنا ممكن يصير في + +205 +00:18:49,190 --> 00:18:53,930 +cross linking من خلال الارتباط بالاكتن هنا من خلال + +206 +00:18:53,930 --> 00:18:59,750 +ارتباط بchemical substance وهنا من خلالالارتباط + +207 +00:18:59,750 --> 00:19:07,530 +بـAnti-Receptor Antibody ضد ميه ضد الـReceptor تبع + +208 +00:19:07,530 --> 00:19:16,630 +الـIgE-Epsilon هذه + +209 +00:19:16,630 --> 00:19:21,710 +الفيجور اللي فات بيبين لنا various types of cross + +210 +00:19:21,710 --> 00:19:25,950 +linking which lead to muscle degranulation + +211 +00:19:29,050 --> 00:19:32,970 +أيضًا كالسيوم ايانوفور بيؤدي إلى زيادة ال calcium + +212 +00:19:32,970 --> 00:19:37,590 +influx في الخلية وهذا بيؤدي إلى ال degranulation + +213 +00:19:37,590 --> 00:19:44,990 +الانفلاتوكسين C3A وC5A ودراجز زي الكودايين + +214 +00:19:44,990 --> 00:19:50,210 +والمورفين وبعض الليكتين أيضًا كان cross-linked + +215 +00:19:50,210 --> 00:19:58,850 +IgEFC receptor Receptor بيسمله aggregationوهو + +216 +00:19:58,850 --> 00:20:03,030 +بتغير شكله وبيتبع + +217 +00:20:03,030 --> 00:20:08,070 +ذلك اللي هو changing membrane fluidity وهذا بيحصل + +218 +00:20:08,070 --> 00:20:12,730 +غالبا from methylation او phospholipid اللي موجود + +219 +00:20:12,730 --> 00:20:15,670 +في cell membrane بيقدر إلى transient increase in + +220 +00:20:15,670 --> 00:20:19,670 +cyclic AMP مطبوعة + +221 +00:20:19,670 --> 00:20:24,810 +بالكالسيوم influx وطبعا هذا بيعمل slow down to the + +222 +00:20:25,280 --> 00:20:29,160 +process of degranulation وبالتالي ال activation of + +223 +00:20:29,160 --> 00:20:32,880 +the adenylate cyclase اللي هو بتحكم في ال cycle K + +224 +00:20:32,880 --> 00:20:39,320 +and P can control the anaphylaxis + +225 +00:20:39,320 --> 00:20:50,340 +طبعا + +226 +00:20:50,340 --> 00:20:51,080 +ال degranulation + +227 +00:20:54,060 --> 00:20:59,800 +Degranulated cells regenerate and synthesize the + +228 +00:20:59,800 --> 00:21:02,620 +granules and resume their function طبيعي جدا إذا + +229 +00:21:02,620 --> 00:21:05,780 +كان عمل Degranulation ترجع تكوين ال granules من + +230 +00:21:05,780 --> 00:21:10,320 +أول و جديد وبالتالي ب .. it can resume their + +231 +00:21:10,320 --> 00:21:15,720 +function easily Effector phase ال symptoms of + +232 +00:21:15,720 --> 00:21:21,560 +allergic reaction غالب هي عبارة عن مصاحبة ال + +233 +00:21:21,560 --> 00:21:27,200 +inflammatory mediator releasedو جابوا ان ال + +234 +00:21:27,200 --> 00:21:30,460 +inflammatory mediators هي نوعين واحد already + +235 +00:21:30,460 --> 00:21:35,680 +performed mediator والتاني newly formed mediator + +236 +00:21:35,680 --> 00:21:40,960 +او muscle mediator و هنشوف هم هذا هم زي ما انتوا + +237 +00:21:40,960 --> 00:21:50,890 +عارفينهي ال .. ال .. ال muscle مرتبطة بال antigen + +238 +00:21:50,890 --> 00:21:56,210 +و لاحظوا ال cross linking اللي موجود between + +239 +00:21:56,210 --> 00:22:04,510 +receptors مع ال antigen طبعا محصلت هذا الكلام + +240 +00:22:04,510 --> 00:22:09,550 +بيصير فيه calcium influx وبيتبع ال calcium influx + +241 +00:22:09,550 --> 00:22:13,890 +اللي هو ال degradationاللي زي ما اتفقنا في نوعين + +242 +00:22:13,890 --> 00:22:17,470 +من ال granules واحد already preformed يعني موجود + +243 +00:22:17,470 --> 00:22:25,110 +في ال granules جاهز زي الاستامين والهيبرين وال + +244 +00:22:25,110 --> 00:22:32,230 +proteases و ال epithelial cell factor A و IL8 و + +245 +00:22:32,230 --> 00:22:37,850 +other cytokinesهذه الميزة موجودة مستعدة و مستعدة + +246 +00:22:37,850 --> 00:22:42,690 +في الخدية فبإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +247 +00:22:42,690 --> 00:22:46,170 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +248 +00:22:46,170 --> 00:22:46,650 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +249 +00:22:46,650 --> 00:22:46,910 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +250 +00:22:46,910 --> 00:22:47,070 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +251 +00:22:47,070 --> 00:22:50,350 +إصلاحها بإمكانك إصلاحها بإمكانك إصلاحها بإمكانك + +252 +00:22:50,350 --> 00:22:56,330 +إصلاحها بإمكانك إصلاحها بإمكانك + +253 +00:22:56,330 --> 00:23:04,520 +إصلاحهاوبطلعنا اللي هو Arachidonic Acid أي اتنشط + +254 +00:23:04,520 --> 00:23:08,740 +الفوسفولاي بيز انزايم وبطلع ال Arachidonic Acid + +255 +00:23:08,740 --> 00:23:13,340 +from the membrane لبت وال Arachidonic Acid بدينا + +256 +00:23:13,340 --> 00:23:19,560 +نوعين من ال product واحد في وجود ال Cyclooxygenase + +257 +00:23:19,560 --> 00:23:25,060 +انزايم بدي Prostaglandin وThromboxane A2وفي ولود + +258 +00:23:25,060 --> 00:23:29,960 +اللعيب اكسيجينيه مدى الليكوترين بانواع مختلفة هي + +259 +00:23:29,960 --> 00:23:35,440 +الليكوترين B وC وD وE كلهم بيطلعوا slow release + +260 +00:23:35,440 --> 00:23:41,000 +substance are released وهي المسئولة عن كثير من + +261 +00:23:41,000 --> 00:23:49,720 +اياش عن ال pain و ال symptomsيبقى فيه موديو مدينة + +262 +00:23:49,720 --> 00:23:53,100 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +263 +00:23:53,100 --> 00:23:54,620 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +264 +00:23:54,620 --> 00:23:55,320 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +265 +00:23:55,320 --> 00:24:00,420 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +266 +00:24:00,420 --> 00:24:00,460 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +267 +00:24:00,460 --> 00:24:00,460 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +268 +00:24:00,460 --> 00:24:02,820 +مرسومية مرسومية مرسومية مرسومية مرسومية مرسومية + +269 +00:24:06,250 --> 00:24:08,770 +البرفوان البرفوان البرفوان البرفوان البرفوان + +270 +00:24:08,770 --> 00:24:09,290 +البرفوان البرفوان البرفوان البرفوان البرفوان + +271 +00:24:09,290 --> 00:24:10,190 +البرفوان البرفوان البرفوان البرفوان البرفوان + +272 +00:24:10,190 --> 00:24:18,130 +البرفوان البرفوان البرفوان البرفوان البرفوان + +273 +00:24:18,130 --> 00:24:20,350 +البرفوان البرفوان البرفوان البرفوان البرفوان + +274 +00:24:20,350 --> 00:24:21,290 +البرفوان البرفوان البرفوان البرفوان البرفوان + +275 +00:24:21,290 --> 00:24:22,090 +البرفوان البرفوان البرفوان البرفوان البرفوان + +276 +00:24:22,090 --> 00:24:23,990 +البرفوان البرفوان البرفوان البرفوان البرفوان + +277 +00:24:23,990 --> 00:24:31,180 +البرفوان البرفوان البرفوان البرفوان البرفوتو + +278 +00:24:31,180 --> 00:24:35,220 +ريسبتور فى الهستامين وجدوا انه فى تو ريسبتور واحد + +279 +00:24:35,220 --> 00:24:38,680 +بيسموه H1 ريسبتور موجود على ال smooth muscles + +280 +00:24:38,680 --> 00:24:43,940 +والارتباط فيه بيأدى ال construction and increase + +281 +00:24:43,940 --> 00:24:49,040 +vascular permeability طبعا construction of the + +282 +00:24:49,040 --> 00:24:52,180 +smooth muscles ولمّا بتشد ال smooth muscle بيصير + +283 +00:24:52,180 --> 00:24:57,520 +فى vascular permeability وال H2 ريسبتور موجود فى + +284 +00:24:57,520 --> 00:25:07,500 +ال mucus secretionبشكل عام و الارتباط اللي هي + +285 +00:25:07,500 --> 00:25:13,160 +استمين فيه بيعمل Vascular permeability و بيؤدي الى + +286 +00:25:13,160 --> 00:25:20,700 +زيادة ال HCL في ال stomach و من ال mycosal cell of + +287 +00:25:20,700 --> 00:25:23,300 +the stomach من ال parietal cell of AS of the + +288 +00:25:23,300 --> 00:25:26,860 +stomach عشان + +289 +00:25:26,860 --> 00:25:37,160 +هي كانلما تشتغل على حموضة + +290 +00:25:37,160 --> 00:25:37,160 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +291 +00:25:37,160 --> 00:25:37,280 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +292 +00:25:37,280 --> 00:25:37,300 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +293 +00:25:37,300 --> 00:25:37,380 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +294 +00:25:37,380 --> 00:25:37,620 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق + +295 +00:25:37,620 --> 00:25:42,940 +مخلوق مخلوق مخلوق مخلوق مخلوق + +296 +00:25:42,940 --> 00:25:53,840 +مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخلوق مخل + +297 +00:25:55,250 --> 00:26:02,090 +بينما الـH2 ريسيبتور مغلق من سيميتدين أنواع معينة + +298 +00:26:02,090 --> 00:26:05,690 +من الانتيهستامينك + +299 +00:26:05,690 --> 00:26:12,110 +لذلك يجب أن يكون هناك فرق ما بينهم سفاتنين مجرد + +300 +00:26:12,110 --> 00:26:19,530 +مدير انفلاماتوري يعمل زيه وزي الهستامينثم الـ + +301 +00:26:19,530 --> 00:26:22,810 +cytokine و قلنا في مجموعة منهم عبارة عن + +302 +00:26:22,810 --> 00:26:29,090 +chemotactic factor زي DMCSF و ال IL-5 و tumor + +303 +00:26:29,090 --> 00:26:33,790 +necrosis factor Alpha ثم ال xenophilic chemotactic + +304 +00:26:33,790 --> 00:26:40,750 +factor و ال platelet activating factor و اليوكترين + +305 +00:26:42,310 --> 00:26:46,170 +وقال تمانية كيموتاكسي of polymorphic nuclear + +306 +00:26:46,170 --> 00:26:50,670 +نتروفين كلها عبارة عن ايش؟ عبارة عن cytokine and + +307 +00:26:50,670 --> 00:26:54,850 +chemotactic factor which are released ايضا سواء + +308 +00:26:54,850 --> 00:26:59,070 +كانت performed on newly synthesized one هيبقى + +309 +00:26:59,070 --> 00:27:04,130 +اليمين ان هو عبارة عن acidic proteoglycan molecule + +310 +00:27:04,130 --> 00:27:09,500 +دوره يعني ما الانهيبشي الا ال coagulationو لا يوجد + +311 +00:27:09,500 --> 00:27:14,080 +دور في الانفلاكسيز اللى بيحصل الـ newly + +312 +00:27:14,080 --> 00:27:19,860 +synthesized قولنا الليكوترين و هذين هم متابلات من + +313 +00:27:19,860 --> 00:27:24,880 +الاردنك أسد بأنواع مختلفة اليكوترين بي فور سي فور + +314 +00:27:24,880 --> 00:27:30,200 +دي فور اي فور و هكذا شو بيعملوا هدولة لتسبب في + +315 +00:27:30,200 --> 00:27:31,600 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +316 +00:27:31,600 --> 00:27:33,360 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +317 +00:27:33,360 --> 00:27:33,400 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +318 +00:27:33,400 --> 00:27:35,500 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعم + +319 +00:27:36,090 --> 00:27:41,950 +والسبب هو الكثير من الانهيستامين المقاومة في البشر + +320 +00:27:41,950 --> 00:27:47,170 +هما بيؤدوا الى ودود القزمة اللي لا يخلقها علاج + +321 +00:27:47,170 --> 00:27:51,010 +بيكون فيه مقاومة عند المريض + +322 +00:27:57,240 --> 00:27:58,700 +طبعا هؤلاء هم مصادر عملية عملية عملية عملية عملية + +323 +00:27:58,700 --> 00:28:01,120 +عملية عملية عملية عملية عملية عملية عملية عملية + +324 +00:28:01,120 --> 00:28:02,020 +عملية عملية عملية عملية عملية عملية عملية عملية + +325 +00:28:02,020 --> 00:28:05,020 +عملية عملية عملية عملية عملية عملية عملية عملية + +326 +00:28:05,020 --> 00:28:07,060 +عملية عملية عملية عملية عملية عملية عملية عملية + +327 +00:28:07,060 --> 00:28:07,320 +عملية عملية عملية عملية عملية عملية عملية عملية + +328 +00:28:07,320 --> 00:28:07,440 +عملية عملية عملية عملية عملية عملية عملية عملية + +329 +00:28:07,440 --> 00:28:07,480 +عملية عملية عملية عملية عملية عملية عملية عملية + +330 +00:28:07,480 --> 00:28:07,480 +عملية عملية عملية عملية عملية عملية عملية عملية + +331 +00:28:07,480 --> 00:28:07,480 +عملية + +332 +00:28:26,370 --> 00:28:32,510 +وVasodilator اللي يمكن أن يجعله يشكوك الـ Late + +333 +00:28:32,510 --> 00:28:39,790 +phase reaction قلنا بيحصل في خلال 48 ساعة ويستمر + +334 +00:28:39,790 --> 00:28:44,130 +في عدة أيام وهذه + +335 +00:28:44,130 --> 00:28:50,750 +ال Mediators كلها بـ and their action هذه عبارة عن + +336 +00:28:50,750 --> 00:28:54,530 +muscles اللي صارت قامت with degranulation وقدت + +337 +00:28:54,530 --> 00:28:58,440 +الارليزOvestamine, Serotonin, Heparin, Thromboxyl + +338 +00:28:58,440 --> 00:29:02,940 +-A2, Prostaglandin, Leucotrin, and Cytokine بتأثر + +339 +00:29:02,940 --> 00:29:05,460 +على الـ lymphocytes, macrophages, زنوفيل + +340 +00:29:05,460 --> 00:29:09,680 +ونيتروفيل. انظروا إلى ما يتأثر كل هذا. عن + +341 +00:29:09,680 --> 00:29:13,800 +نيتروفيل، كان هناك نيتروفيل كيموتاكتك فاكتور زي R8 + +342 +00:29:13,800 --> 00:29:18,500 +طبعاً محصلته كيموتاكسي لنيتروفيل وفاجو سايتوسيز + +343 +00:29:18,500 --> 00:29:23,060 +وطبعاً دي جرانوليش لنيتروفيل بيؤدي لزيادة لازوزايم + +344 +00:29:23,060 --> 00:29:27,230 +الإنزايم واليوكوترينو الـ Plated Activating Factor + +345 +00:29:27,230 --> 00:29:33,270 +ودول محصلتهم تشو دامج ثرمبوكسين + +346 +00:29:33,270 --> 00:29:39,170 +A2 و ساعته كان آية لتلاتة اربع خمس وثلاثاش مع + +347 +00:29:39,170 --> 00:29:43,430 +ازينوفيليك فاكتور كيموتاكتك فاكتور طبعا بيقدي + +348 +00:29:43,430 --> 00:29:50,390 +الازينوفيل كيموتاكسي و ايضا activation of ازينوفيل + +349 +00:29:50,390 --> 00:29:55,280 +و degranulationوالمحاصلة ليكوترين بلتليت اكتفات + +350 +00:29:55,280 --> 00:30:01,680 +فاكتور هستامينيز اريل سالفيز والميجر باسيك بروتين + +351 +00:30:01,680 --> 00:30:10,080 +نيرو توكسن وهيل مانث توكسن المحاصلة تشو دامج طبعا + +352 +00:30:10,080 --> 00:30:15,900 +ال both ايزينوفيل ونيتروفيل بيقدوا او are brought + +353 +00:30:15,900 --> 00:30:23,010 +into close contact with antibody coated antigenvia + +354 +00:30:23,010 --> 00:30:29,270 +Fc Receptor on these cells اللي هم Receptor للـ Fc + +355 +00:30:29,270 --> 00:30:34,410 +Epsilon Receptor ويتنتهين بيجوا وبتنشرطوا من خلال + +356 +00:30:34,410 --> 00:30:39,250 +ارتباط بال Receptors اللي على سطحهم Release of + +357 +00:30:39,250 --> 00:30:43,550 +cytokine زي 1,4,6 وTumor Metabolosis Factor Beta + +358 +00:30:43,550 --> 00:30:48,150 +بيأدى لها طبعا هذا ال infiltration of T and B + +359 +00:30:48,150 --> 00:30:53,660 +lymphocyte and macrophage وهي التلاتةو محصرتها + +360 +00:30:53,660 --> 00:30:58,660 +البرتوسايتوكايم روداكت و Antibody production و + +361 +00:30:58,660 --> 00:31:00,360 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +362 +00:31:00,360 --> 00:31:01,160 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +363 +00:31:01,160 --> 00:31:03,640 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +364 +00:31:03,640 --> 00:31:06,760 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +365 +00:31:06,760 --> 00:31:06,780 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +366 +00:31:06,780 --> 00:31:08,060 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +367 +00:31:08,060 --> 00:31:10,460 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +368 +00:31:10,460 --> 00:31:10,460 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +369 +00:31:10,460 --> 00:31:10,460 +مافي مافي مافي مافي مافي مافي مافي مافي مافي مافي + +370 +00:31:10,460 --> 00:31:18,720 +مافي مافي مافي مافي مافي مافي مافي مافي + +371 +00:31:18,720 --> 00:31:23,620 +ماهذا طبعا إذا صار بيصير بعد يومين من ال + +372 +00:31:23,620 --> 00:31:28,980 +sensitivity وإذا صار تأثيره بيقعد أيام بيقعدش ساعة + +373 +00:31:28,980 --> 00:31:36,520 +أو ساعتين طبعا هذا figure بيبين لنا how is the + +374 +00:31:36,520 --> 00:31:40,000 +induction and effect of the mechanism في ال type + +375 +00:31:40,000 --> 00:31:45,120 +one هاي ال antigen بيدخل من خلال ال mucus membrane + +376 +00:31:45,120 --> 00:31:49,950 +تستقبله antigen presenting cellتعمل ال processing + +377 +00:31:49,950 --> 00:32:00,870 +وتقدم البرتورو البرتورو البرتورو + +378 +00:32:00,870 --> 00:32:03,510 +البرتورو البرتورو البرتورو البرتورو البرتورو + +379 +00:32:03,510 --> 00:32:03,510 +البرتورو البرتورو البرتورو البرتورو البرتورو + +380 +00:32:03,510 --> 00:32:03,510 +البرتورو البرتورو البرتورو البرتورو البرتورو + +381 +00:32:03,510 --> 00:32:03,510 +البرتورو البرتورو البرتورو البرتورو البرتورو + +382 +00:32:03,510 --> 00:32:03,610 +البرتورو البرتورو البرتورو البرتورو البرتورو + +383 +00:32:03,610 --> 00:32:03,710 +البرتورو البرتورو البرتورو البرتورو البرتورو + +384 +00:32:03,710 --> 00:32:06,590 +البرتورو البرتورو البرتورو البرتورو البرتورو + +385 +00:32:06,590 --> 00:32:17,570 +البرتورو البرتورو البرتورو البرتورو البرتورو + +386 +00:32:17,570 --> 00:32:22,920 +النولي سينتسايز طبعا بيصير فارمكولوجيكال افكت زي + +387 +00:32:22,920 --> 00:32:26,180 +blood vessel airway obstruction وcell infiltration + +388 +00:32:26,180 --> 00:32:31,220 +وطبعا أيضا بيصير فيه tissue damage نتيجة ال + +389 +00:32:31,220 --> 00:32:36,100 +inflammatory and cell chemotaxis and activation في + +390 +00:32:36,100 --> 00:32:40,800 +المراحل طبعا ال antigen ممكن directly يجي ويرتبط + +391 +00:32:40,800 --> 00:32:45,930 +علىفي المرة التانية اه يرتبط على ال muscle + +392 +00:32:45,930 --> 00:32:50,790 +الريزوفيل اللى جاعد على سطحها اللى هو antibody IgE + +393 +00:32:50,790 --> 00:32:56,590 +antibody و اللى سميناها sensitized cell و المراحل + +394 +00:32:56,590 --> 00:33:00,030 +المختلفة الأولى انتجين presentation ثم IgE + +395 +00:33:00,030 --> 00:33:04,010 +production ثم muscle degranulation ثم clinical + +396 +00:33:04,010 --> 00:33:07,890 +effect of + +397 +00:33:07,890 --> 00:33:13,700 +اللى هوre-exposure to the antigen هذه المراحل + +398 +00:33:13,700 --> 00:33:19,640 +المختلفة اللي بتمر فيها هذه ال .. اللي هو هذا + +399 +00:33:19,640 --> 00:33:27,620 +النوع من الحساسية طبعا هذه نفس الصورة طيب ال + +400 +00:33:27,620 --> 00:33:30,380 +clinical consequences of allergic reaction شوفوا + +401 +00:33:30,380 --> 00:33:34,120 +تبيعات ال allergic reaction كانوا بيصير في + +402 +00:33:34,120 --> 00:33:40,350 +allergic rhinitis وسمينها high fever اوطبعا اذا + +403 +00:33:40,350 --> 00:33:43,890 +كان دخل عن طريق الاشياء اللي هو او food allergy + +404 +00:33:43,890 --> 00:33:50,190 +اذا كان اكلناها او atopic dermatitis if there is + +405 +00:33:50,190 --> 00:33:58,330 +skin contact او أزمة من خلال الاشياء الارواح soul + +406 +00:33:58,330 --> 00:34:04,480 +طبعا هي الأنواع المختلفة اللي ممكن تصيرهذه ممكن + +407 +00:34:04,480 --> 00:34:08,360 +تأدي الانفلاكتك شوك، وانفلاكتك شوك يعني موت ممكن، + +408 +00:34:08,360 --> 00:34:11,880 +if untreated it can cause death clinical test + +409 +00:34:11,880 --> 00:34:17,300 +بيعملوا scan break test و طبعا بياخدوا ميلوتر موته + +410 +00:34:17,300 --> 00:34:24,260 +بانتيجين و بحقنه تحت الجلد و بيستنوا عليه تاني يوم + +411 +00:34:24,260 --> 00:34:27,910 +بيش .. و بيدوروا على ال wheel and flare responseو + +412 +00:34:27,910 --> 00:34:32,150 +الويل انفرير هي عبارة عن readiness and ادمة بتسير + +413 +00:34:32,150 --> 00:34:42,930 +خلال عشر الى خمستاشر دقيقة اه انا بعرف ال PK خلال + +414 +00:34:42,930 --> 00:34:49,090 +اللي هو اربع و عشرين ساعة ماعلينا الويل انفرير + +415 +00:34:49,090 --> 00:34:50,190 +الويل انفرير الويل انفرير الويل انفرير الويل + +416 +00:34:50,190 --> 00:34:51,990 +انفرير الويل انفرير الويل انفرير الويل انفرير + +417 +00:34:51,990 --> 00:34:52,350 +الويل انفرير الويل انفرير الويل انفرير الويل + +418 +00:34:52,350 --> 00:34:52,350 +انفرير الويل انفرير الويل انفرير الويل انفرير + +419 +00:34:52,350 --> 00:34:52,350 +الويل انفرير الويل انفرير الويل انفرير الويل + +420 +00:34:52,350 --> 00:34:52,350 +انفرير الويل انفرير الويل انفرير الويل انفرير + +421 +00:34:52,350 --> 00:34:57,030 +الويل انفبالطبع هذا الـ Covalent coupling of + +422 +00:34:57,030 --> 00:35:02,690 +allergen to insoluble matrix بيكون Quotient ماشي + +423 +00:35:02,690 --> 00:35:10,290 +ال allergen بيبقى beats على سبيل المثال او اللي هو + +424 +00:35:10,290 --> 00:35:15,090 +stick دب into a sample of patient serum حطها في + +425 +00:35:15,090 --> 00:35:20,010 +ايه؟ في patient serum allowed to bind specific + +426 +00:35:20,010 --> 00:35:26,390 +antibody for allergenبعد ذلك وش الـ stick اللي هو + +427 +00:35:26,390 --> 00:35:32,030 +radio labelled antibody specific for IgE is added + +428 +00:35:32,030 --> 00:35:37,290 +بعد ذلك the amount of radio activity bound is A + +429 +00:35:37,290 --> 00:35:41,270 +major of the amount of specific IgE antibody in + +430 +00:35:41,270 --> 00:35:47,800 +the serum sampleيعني هذه بيستخدموا فيها اللي هو لو + +431 +00:35:47,800 --> 00:35:54,040 +تخيلناها عبارة عن beats او عبارة عن stick زي اللي + +432 +00:35:54,040 --> 00:36:04,000 +هو ال pregnancy test ماشي بيكون ال stick هذه عليها + +433 +00:36:04,000 --> 00:36:07,980 +ال allergen عليها ال allergen اللي هو ال antigen + +434 +00:36:07,980 --> 00:36:13,570 +اللي بده يعمل حساسيانحطها في ال patient serum عشان + +435 +00:36:13,570 --> 00:36:16,770 +ندور اذا كان في عنده antibody for that allergen + +436 +00:36:16,770 --> 00:36:20,990 +ونسيبها نديها فرصة ان ال antibody يتبط ليهاش بال + +437 +00:36:20,990 --> 00:36:24,490 +allergen اللي صار في antibody دي عادة ماسك في ال + +438 +00:36:24,490 --> 00:36:30,090 +allergen اذا موجودها ال antibody بعدين نضيف radio + +439 +00:36:30,090 --> 00:36:34,030 +labeled anti antibody يعني antibody specific for + +440 +00:36:34,030 --> 00:36:39,940 +the IgEمشي اذا موجود ال antibody ارتبط بيصير فيه + +441 +00:36:39,940 --> 00:36:45,900 +اللي هو ال second antibody بده يرتبط فيه ويصير فيه + +442 +00:36:45,900 --> 00:36:51,360 +radio labeling هذه طبعا can be measured وبنشوف + +443 +00:36:51,360 --> 00:36:54,100 +اللي هو it will be proportional to the + +444 +00:36:54,100 --> 00:36:57,860 +concentration of IgE antibody in the serum sample + +445 +00:36:57,860 --> 00:37:03,980 +intervention environmental intervention + +446 +00:37:06,860 --> 00:37:13,980 +أفضل ان اقوم باستخدام البرونكو + +447 +00:37:13,980 --> 00:37:18,620 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +448 +00:37:18,620 --> 00:37:20,620 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +449 +00:37:20,620 --> 00:37:21,060 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +450 +00:37:21,060 --> 00:37:23,320 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +451 +00:37:23,320 --> 00:37:24,440 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +452 +00:37:24,440 --> 00:37:24,440 +دايلاتر البرونكو دايلاتر البرونكو دايلاتر البرونكو + +453 +00:37:24,440 --> 00:37:27,780 +دايلاتر البرونكو + +454 +00:37:27,780 --> 00:37:31,520 +دايلاتر البرونكو + +455 +00:37:31,520 --> 00:37:31,800 +دايلاتر + +456 +00:37:34,580 --> 00:37:37,040 +هذه هي العلاجات اللي بتدخل immunological + +457 +00:37:37,040 --> 00:37:42,000 +intervention بيعملوا hypersensitization للمريض كي + +458 +00:37:42,000 --> 00:37:46,360 +بتتم هذه العملية by injecting the patient with + +459 +00:37:46,360 --> 00:37:50,580 +increasing doses of allergen شوية شوية بيعطوا اكتر + +460 +00:37:50,580 --> 00:38:01,190 +من dose of allergen للمريضبتحول الانتيبادي لـ IgG + +461 +00:38:01,190 --> 00:38:06,790 +وبالتالي تخلص + +462 +00:38:06,790 --> 00:38:11,870 +الحساسية الـ neutral increase in level of IgG + +463 +00:38:11,870 --> 00:38:17,640 +followed by ground degreeson continued therapy due + +464 +00:38:17,640 --> 00:38:21,520 +to induction of tolerance or to switch from Tl bar + +465 +00:38:21,520 --> 00:38:28,800 +2 to Tl bar 1 بيبقى اللي بصير انه زي زيادة في ال + +466 +00:38:28,800 --> 00:38:33,100 +concentration و AGE بيتبعها من خلال ال repeated + +467 +00:38:33,100 --> 00:38:37,740 +injection decrease in the concentration والسبب في + +468 +00:38:37,740 --> 00:38:43,520 +ذلك اما لأنه صار في tolerance ل ال antigen اللي + +469 +00:38:43,520 --> 00:38:48,740 +دخلاننا دخلنا بـ Doses مختلفة او انه صار في + +470 +00:38:48,740 --> 00:38:54,340 +switching من مدالة تي البرتولا تي البروان وبالتالي + +471 +00:38:54,340 --> 00:39:06,060 +صار في اللي هو بطل في IGE production الاستخدام + +472 +00:39:06,060 --> 00:39:11,440 +اللي هو immunized anti IGE monoclonal antibody وده + +473 +00:39:11,440 --> 00:39:19,180 +بيعملالتي لا تتعامل مع الـ IGE bound to muscle and + +474 +00:39:19,180 --> 00:39:29,300 +mesophyte برضه هذا احد الاستخدامات او + +475 +00:39:29,300 --> 00:39:34,720 +use of cytokine which can shift from TLA-2 to TLA + +476 +00:39:34,720 --> 00:39:42,760 +-1 responseأو استخدام Anti-Cytokine زي Anti-IL-4 + +477 +00:39:42,760 --> 00:39:48,260 +IL-4 طبعا responsible for IgE production فبنعمل + +478 +00:39:48,260 --> 00:39:58,460 +class switching in B cell Anti-Cytokine وCytokine + +479 +00:39:58,460 --> 00:40:04,770 +receptor antagonist نعمل blocking للرسبتورأو + +480 +00:40:04,770 --> 00:40:07,470 +administration of chemically altered allergen + +481 +00:40:07,470 --> 00:40:11,630 +which suppress a primary or established IgE + +482 +00:40:11,630 --> 00:40:17,930 +response كيميائية كيميائية كيميائية كيميائية + +483 +00:40:17,930 --> 00:40:18,990 +كيميائية كيميائية كيميائية كيميائية كيميائية + +484 +00:40:18,990 --> 00:40:25,010 +كيميائية كيميائية + +485 +00:40:25,010 --> 00:40:25,590 +كيميائية كيميائية كيميائية كيميائية كيميائية + +486 +00:40:25,590 --> 00:40:26,290 +كيميائية كيميائية كيميائية كيميائية كيميائية + +487 +00:40:26,290 --> 00:40:26,310 +كيميائية كيميائية كيميائية كيميائية كيميائية + +488 +00:40:26,310 --> 00:40:29,030 +كيميائية كيميائية كيميائية كيميائية كيميائية + +489 +00:40:29,030 --> 00:40:29,030 +كيميائية كيميائية كيميائية كيميائية كيميائية + +490 +00:40:29,030 --> 00:40:33,230 +كيميائية كيميائية كيميائية كيميائية كيميائية ك + +491 +00:40:34,770 --> 00:40:40,610 +بأكتر من طريقة ممكن يستخدموها to treat this + +492 +00:40:40,610 --> 00:40:46,590 +patient ال protective دور ل IGE هو برعا protective + +493 +00:40:46,590 --> 00:40:51,470 +إلا إنه هنا هو أمل أن ده مشاكل طبعا ال response to + +494 +00:40:51,470 --> 00:40:56,470 +many parasitic war favor the induction of IGE his + +495 +00:40:56,470 --> 00:40:58,530 +to mean another mediator associated with + +496 +00:40:58,530 --> 00:41:02,930 +anaphylactic responseيتم إطلاقها في إجارة الـ + +497 +00:41:02,930 --> 00:41:07,230 +worm، الـ antigen، الـ cross-linking، الـ IgE، على + +498 +00:41:07,230 --> 00:41:13,330 +الأرض المضمونة و البيزوفيل و الزينوفيل. طبعا + +499 +00:41:13,330 --> 00:41:18,410 +الإرتباط بيؤدي إلى زيادة الـ permeability، بسبب + +500 +00:41:18,410 --> 00:41:25,850 +إستعمال الـ release، وهذا بيؤدي إلى الـ IgE + +501 +00:41:25,850 --> 00:41:28,790 +-Antibody في موقع الـ worm infestation. + +502 +00:41:40,310 --> 00:41:44,150 +الإيزينوفيل مرتبط بالعضلات الـ IGG والعضلات IGG + +503 +00:41:44,150 --> 00:41:46,530 +مرتبط بالعضلات IGG والعضلات IGG مرتبط بالعضلات IGG + +504 +00:41:46,530 --> 00:41:49,570 +والعضلات IGG + +505 +00:41:49,570 --> 00:41:49,790 +مرتبط بالعضلات IGG والعضلات IGG مرتبط بالعضلات IGG + +506 +00:41:49,790 --> 00:41:50,330 +والعضلات IGG مرتبط بالعضلات IGG والعضلات IGG مرتبط + +507 +00:41:50,330 --> 00:41:50,430 +بالعضلات IGG مرتبط بالعضلات IGG مرتبط بالعضلات IGG + +508 +00:41:50,430 --> 00:41:52,550 +مرتبط بالعضلات IGG مرتبط بالعضلات IGG مرتبط + +509 +00:41:52,550 --> 00:41:59,770 +بالعضلات IGG مرتبط بالعضلات IGG مرتبط بالعضلات IGG + +510 +00:41:59,770 --> 00:42:03,570 +مرتبط بالعضلات IGG مرتبط بالعضل + +511 +00:42:06,920 --> 00:42:12,540 +contact وطبعا هذا يجعل الانتجار + +512 +00:42:12,540 --> 00:42:15,620 +انتباهي على سطح ال ورم وهذا بنشتت complement + +513 +00:42:15,620 --> 00:42:21,460 +وبالتالي يتخلص من ال ورم نبدأ لو لخصنا هذه العملية + +514 +00:42:21,460 --> 00:42:26,480 +هم يقولوا ان الهستامين و اخر مدياترين شو بيعملوا؟ + +515 +00:42:26,480 --> 00:42:29,120 +يقولوا بيعملوا anaphylactic shock شو السبب؟ يقولوا + +516 +00:42:29,120 --> 00:42:34,630 +بيصير فيه زيادة طبعا يوم ما تخش ال ورمماشي هيصير + +517 +00:42:34,630 --> 00:42:38,630 +في IgE الـ cross linking على سطح ال muscle + +518 +00:42:38,630 --> 00:42:42,110 +والبيزوفيل فهيصير في degradation و IgE وهستمين + +519 +00:42:42,110 --> 00:42:49,690 +ومجموعته طبعا بالاضافة الى ال IgG الهستمين الريليز + +520 +00:42:49,690 --> 00:42:53,250 +مصير في IgG Antimony production في منطقة الحدث + +521 +00:42:53,250 --> 00:42:57,150 +طبعا ال IgG بالمناسبة اللي هو ال receptor على سطح + +522 +00:42:57,150 --> 00:43:03,070 +الازينوفيلالإيزينوفيل نتيجة أيضًا الـ chemotactic + +523 +00:43:03,070 --> 00:43:12,990 +factor اللي بتفرز بتصل إلى منطقية ال worm و بتطبط + +524 +00:43:12,990 --> 00:43:19,810 +فيه من خلال ال IGG receptor اللي على سطحها اللي + +525 +00:43:19,810 --> 00:43:25,970 +already بيكون ماسك في ال worm وبالتالي صار في + +526 +00:43:25,970 --> 00:43:30,290 +الإيزينوفيل ماسك يا بال worm من خلال مينمن خلال + +527 +00:43:30,290 --> 00:43:33,730 +الـ IgG Antibody فبالتالي بتعمل Degranulation + +528 +00:43:33,730 --> 00:43:40,190 +وبتعمل التخلص من ال Parasites لازم في ال Express + +529 +00:43:40,190 --> 00:43:47,090 +Low Affinity to FC Receptor by GEو طبعا هذا بيؤدي + +530 +00:43:47,090 --> 00:43:54,030 +الى ارتباط of these cells او any cells على سطح IGE + +531 +00:43:54,030 --> 00:43:59,830 +antibody IGE بيكون قاعد على سطح مين؟ على سطح ال + +532 +00:43:59,830 --> 00:44:06,530 +worm ال major basic protein released by isomorphic + +533 +00:44:06,530 --> 00:44:12,870 +granulesتعمل كوتينج لـ Surface of worm و هذا بيؤدي + +534 +00:44:12,870 --> 00:44:20,330 +الى ال death of worm and its eventual explosion + +535 +00:44:20,330 --> 00:44:26,210 +from the body. All component of type 1 reaction + +536 +00:44:26,210 --> 00:44:31,270 +combine to perform this protective function كلها + +537 +00:44:31,270 --> 00:44:36,490 +beneficial effects suggest that the wide range of + +538 +00:44:36,490 --> 00:44:41,520 +responseالذي يتعلق بالانتباد الـ IgE قد يتعلق + +539 +00:44:41,520 --> 00:44:48,420 +باستخدام تجارب تجارب الانتباد الهوارم يعني الجانب + +540 +00:44:48,420 --> 00:44:52,380 +الحسن في هذا النوع من في افراز او في تكوين + +541 +00:44:52,380 --> 00:44:59,700 +الانتباد انه it can نقدر نتخلص من الانه it's + +542 +00:44:59,700 --> 00:45:04,580 +released during worm infestation وبالتالي يوم ما + +543 +00:45:06,190 --> 00:45:12,710 +يفرز في وجود parasites المحصلة من خلص أو تخلص من + +544 +00:45:12,710 --> 00:45:19,350 +ال parasites وهي + +545 +00:45:19,350 --> 00:45:29,830 +طبعا هاي ميوكوزا ال membrane دخل ال worm ماشي و + +546 +00:45:29,830 --> 00:45:30,350 +طبعا + +547 +00:45:34,660 --> 00:45:40,820 +دخل الـ Antigen تبعه لجهة + +548 +00:45:40,820 --> 00:45:48,620 +IGE موجودة على سطح الخلايا و أيضا بيزيد في وجود ال + +549 +00:45:48,620 --> 00:45:52,720 +worm فهي انتبهت بال Antigen تبع ال worm قدأ إلى + +550 +00:45:52,720 --> 00:45:56,940 +نشاطه فصار فيه Degradation من ضمنها الهستامين + +551 +00:45:58,530 --> 00:46:02,970 +الإيزينوفيل كيموتاكتك فاكتر ونيتروفيل كيموتاكتك + +552 +00:46:02,970 --> 00:46:07,850 +فاكتر طبعا كلهم بيصلوا إلى منطقة الحدث هبيزودوا + +553 +00:46:07,850 --> 00:46:13,030 +بيزيد ال permeability to + +554 +00:46:13,030 --> 00:46:18,670 +IgG and white blood cell تبدأ تطلع هذه ال antibody + +555 +00:46:18,670 --> 00:46:22,170 +مرة + +556 +00:46:22,170 --> 00:46:27,380 +تانية من ال mycosal membrane على ال wormبترتبط بال + +557 +00:46:27,380 --> 00:46:32,580 +worm وبتيجي ال neutrophil وال eosinophil بترتبط + +558 +00:46:32,580 --> 00:46:38,660 +بال antibody من خلال ال FC portion وبتخلصنا من ال + +559 +00:46:38,660 --> 00:46:47,080 +antibodyهذا تلخيص لكيف بيتم التخلص من ال parasites + +560 +00:46:47,080 --> 00:46:52,380 +مرة تانية هي ال parasites بيخش من خلال ال mucosal + +561 +00:46:52,380 --> 00:46:57,060 +membrane اللي هو ال antigen أو ال parasites بناء + +562 +00:46:57,060 --> 00:47:04,160 +في التشوعة أو في ال intestine ماشي فبتتلقف و طبعا + +563 +00:47:04,160 --> 00:47:08,340 +برتبط + +564 +00:47:08,340 --> 00:47:15,090 +بالعلى سطح المعصّل بيصير فيه Degranulation بيصير + +565 +00:47:15,090 --> 00:47:18,170 +فيه Release لاس دمينو كيمو تاكتك فاكتور لنيتروفيل + +566 +00:47:18,170 --> 00:47:23,650 +ونيتروفيل بيصلوا بيزيدوا في منطق طبعا في ال blood + +567 +00:47:23,650 --> 00:47:26,990 +vessels طبعا هذا بيزيد ال permeability فبتطلعوا + +568 +00:47:26,990 --> 00:47:33,360 +برا هم هو ال IGEG Antibodyاللي بيطلع طبعا ما زال + +569 +00:47:33,360 --> 00:47:37,320 +صار في increase للبرمي عملتها برا وبرتبط بيهاش بال + +570 +00:47:37,320 --> 00:47:41,080 +worm طبعا هاي ال antibody ارتبط بال worm من خلال + +571 +00:47:41,080 --> 00:47:45,080 +ال fabrication اللي فالت ال FC portion له receptor + +572 +00:47:45,080 --> 00:47:49,940 +على سطح الethanofil و ال neutrophil اللي بيتنشطوا + +573 +00:47:49,940 --> 00:47:53,460 +بيتبرطبطوا و بيتنشطوا و بيعملوا degradation و + +574 +00:47:53,460 --> 00:48:00,180 +بيخلصونا من الهاش من ال wormهذا النوع الأول من + +575 +00:48:00,180 --> 00:48:06,140 +الحساسية النوع التاني هو ال antibody which is also + +576 +00:48:06,140 --> 00:48:11,220 +antibody mediated cytotoxic + +577 +00:48:11,220 --> 00:48:12,040 +reaction + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/ZBIIfkK9UEc_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/ZBIIfkK9UEc_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..5866df23869686d5968b3195662530e18891298f --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/ZBIIfkK9UEc_postprocess.srt @@ -0,0 +1,796 @@ +1 +00:00:01,740 --> 00:00:08,940 +بسم الله الرحمن الرحيم محاضرتنا اليوم هتحكي على ال + +2 +00:00:08,940 --> 00:00:17,600 +immunogen و ال antigen تعريفات و خصائص و بعض + +3 +00:00:17,600 --> 00:00:24,400 +النقاط المهمة اللي لازم نتطرق ليها بشكل عام اي ناد + +4 +00:00:24,400 --> 00:00:35,770 +ده تستطيع انتحفظ ال response is referred to as + +5 +00:00:35,770 --> 00:00:42,930 +antigen or immunogen بشكل عام اي مادة evokes تحفظ + +6 +00:00:42,930 --> 00:00:46,950 +ال response is referred to as antigen or immunogen + +7 +00:00:46,950 --> 00:00:52,950 +الفرق بين الاتنين ان ال antigen هو عبارة عن اي + +8 +00:00:52,950 --> 00:00:58,620 +مادةأي agent that is capable specifically to bind + +9 +00:00:58,620 --> 00:01:03,220 +with بيرتبط مع مكونات ال immune response زي ال PCR + +10 +00:01:03,220 --> 00:01:08,500 +أو ال BCL أو ال antibody بينما ال immunogen هو أي + +11 +00:01:08,500 --> 00:01:14,920 +مادة تستطيع ان تحفظ جهاز المناعة وتنتج ال immune + +12 +00:01:14,920 --> 00:01:19,640 +response يبقى ال antigen فقط يرتبط بمكونات ال + +13 +00:01:19,640 --> 00:01:22,980 +immune response ولكنه لا يحفظ ال antibody ال + +14 +00:01:22,980 --> 00:01:27,440 +immune responseبنبع ال immunogen يستطيع أن يحفظ ال + +15 +00:01:27,440 --> 00:01:31,440 +immune response وبالتالي كل immunogen هو عبارة عن + +16 +00:01:31,440 --> 00:01:38,880 +antigen لكن ليس و vice versa الherkin مصطلح آخر هو + +17 +00:01:38,880 --> 00:01:45,040 +عبارة عن مادة صغيرة by itself it is incapable of + +18 +00:01:45,040 --> 00:01:51,640 +inducing immune response لكن يوم ما يرتبط بمادة + +19 +00:01:51,640 --> 00:01:58,110 +تانيةبسموها carrier بيكبر وبالتالي يستطيع ان يحفظ + +20 +00:01:58,110 --> 00:02:02,050 +جهاز المناعة وطبعا ال antibody اللي بيتكوم في هذه + +21 +00:02:02,050 --> 00:02:04,970 +الحالة يستطيع ان يتفاعل مع ال carrier ومع ال + +22 +00:02:04,970 --> 00:02:12,010 +antiheptin itself requirement for immunogenicity + +23 +00:02:12,010 --> 00:02:18,550 +يعني ال immunogenicity يعني إلى العوامل القاتية + +24 +00:02:18,550 --> 00:02:22,150 +لما واحد ال antigen او immunogen should be foreign + +25 +00:02:23,220 --> 00:02:27,240 +و ال foreigners طبعا بشكل عام اي انسان مافيش ان + +26 +00:02:27,240 --> 00:02:31,680 +الواحد + +27 +00:02:31,680 --> 00:02:37,840 +يتعامل مع ال self-antigen تبعته مع ال self-antigen + +28 +00:02:37,840 --> 00:02:44,660 +تبعته و كل ما كانت ال مادة ال agent اللي دخل + +29 +00:02:44,660 --> 00:02:48,160 +foreign كل ما كان more immunogenic + +30 +00:02:50,760 --> 00:02:53,840 +طبعا في exceptional case في هذا الحالة في حالة ال + +31 +00:02:53,840 --> 00:02:57,440 +autoimmunity انه بعض المرات بيصير فيه اللي هو + +32 +00:02:57,440 --> 00:03:09,260 +antibody تتفاعل مع self-antigen او تتفاعل مع his + +33 +00:03:09,260 --> 00:03:15,840 +or her own tissue صفة تانية لل immunogenicity ال + +34 +00:03:17,170 --> 00:03:19,670 +والـ high molecular weight المفروض كالاثي جاله هو + +35 +00:03:19,670 --> 00:03:22,710 +إذا المادة أقل من 100 دالتون زي البنسالين + +36 +00:03:22,710 --> 00:03:26,730 +والاسباريو و البروجسترون فهي ليست إمينوجينية لكن + +37 +00:03:26,730 --> 00:03:31,330 +لو كانت المادة ما بين ألف لستة لاف زي الانسغين و + +38 +00:03:31,330 --> 00:03:38,850 +LCTH هرمون they are or not they may or may not be + +39 +00:03:38,850 --> 00:03:42,820 +إمينوجينية ويوم ما يكونوا فوق الستة لافدالتون + +40 +00:03:42,820 --> 00:03:45,960 +موليكيلار ويت زي الالبومين it's generally + +41 +00:03:45,960 --> 00:03:50,080 +immunogenic يبقى أول صفة ال foreignest و تاني صفة + +42 +00:03:50,080 --> 00:03:52,880 +ال I molecular weight تالت صفة ال chemical + +43 +00:03:52,880 --> 00:03:57,240 +complexity يعني كل ما كان ال molecule more complex + +44 +00:03:57,240 --> 00:04:02,970 +and not homopolymer وإنما هو copolymerكل ما كان + +45 +00:04:02,970 --> 00:04:09,730 +جيد اميونوجين و مثال + +46 +00:04:09,730 --> 00:04:12,750 +على ذلك على سبيل المثال البريجلوتاميك العلني + +47 +00:04:12,750 --> 00:04:20,930 +العيسين to be highly اميونوجينيك ال degradability + +48 +00:04:20,930 --> 00:04:26,830 +should be capable of degradationation ايش يعني قال + +49 +00:04:26,830 --> 00:04:30,830 +الانتجين اللي بيستطيع انه ينشط تيلينفسايد ويعمل + +50 +00:04:30,830 --> 00:04:34,770 +immune responseلابد انه يتفاعل مع antigen + +51 +00:04:34,770 --> 00:04:37,330 +presenting cell شو بتعمل antigen presenting cell + +52 +00:04:37,330 --> 00:04:42,050 +تاخده و بتعمل antigen processing بتشجفه و بتقطعه + +53 +00:04:42,050 --> 00:04:48,810 +by enzymatic degradation ثم بيطلع + +54 +00:04:48,810 --> 00:04:52,110 +على سطح ال antigen presenting cell مرتبط بالMRC + +55 +00:04:52,110 --> 00:04:56,250 +moleculeالشيء اللي طلعت هو الـ Epitopes من هذا + +56 +00:04:56,250 --> 00:05:00,870 +الانتجن مرتبط بمين؟ بال-MHC موليكيولوجيا هذه الـ + +57 +00:05:00,870 --> 00:05:05,410 +Epitopes تستميل و تشغّل اتفاق كلونا الانتجن الخاص + +58 +00:05:05,410 --> 00:05:12,250 +بالإفكتور T-cell طبعا في بعض البروتينة أو + +59 +00:05:12,250 --> 00:05:19,150 +الامينواسد اللي مقاومة لتحرير الانزيماتيكيا فهي + +60 +00:05:19,150 --> 00:05:24,930 +ليسوا اميولوجينيكيازي الـ D-Configuration Amino + +61 +00:05:24,930 --> 00:05:30,610 +Acids الـ D-Configuration Amino Acids الـ D + +62 +00:05:30,610 --> 00:05:34,550 +-Configuration + +63 +00:05:34,550 --> 00:05:36,930 +Amino Acids الـ D-Configuration Amino Acids الـ D + +64 +00:05:36,930 --> 00:05:37,050 +-Configuration Amino Acids الـ D-Configuration + +65 +00:05:37,050 --> 00:05:37,130 +Amino Acids الـ D-Configuration Amino Acids الـ D + +66 +00:05:37,130 --> 00:05:37,170 +-Configuration Amino Acids الـ D-Configuration + +67 +00:05:37,170 --> 00:05:37,530 +Amino Acids الـ D-Configuration Amino Acids الـ D + +68 +00:05:37,530 --> 00:05:37,670 +-Configuration Amino Acids الـ D-Configuration + +69 +00:05:37,670 --> 00:05:40,270 +Amino Acids الـ D-Configuration Amino Acids الـ D + +70 +00:05:40,270 --> 00:05:41,910 +-Configuration Amino Acids الـ D-Configuration + +71 +00:05:41,910 --> 00:05:50,470 +Amino Acids الـ D-Configuration Amino Acids الـ D + +72 +00:05:50,470 --> 00:05:52,310 +-Configuration Amino Acids الـ + +73 +00:06:01,660 --> 00:06:08,300 +الجينات التي تصنع هذا الانتجن او الانتجن البرودكت + +74 +00:06:08,300 --> 00:06:13,720 +هو مختلف من واحد شخص لواحد اخر البرودكت او الانتجن + +75 +00:06:13,720 --> 00:06:15,520 +البرودكت هو مختلف من واحد شخص لواحد اخر البرودكت + +76 +00:06:15,520 --> 00:06:22,080 +او الانتجن البرودكت هو مختلف + +77 +00:06:22,080 --> 00:06:25,660 +من واحد شخص لواحدDosage and Route of + +78 +00:06:25,660 --> 00:06:31,140 +Administration ببساطة يقولوا خدوا في عين الاعتبار + +79 +00:06:31,140 --> 00:06:34,900 +هذه القواعد لما نكون repeated administration + +80 +00:06:34,900 --> 00:06:40,120 +للانتجن يعني نضل ندخل انتجن على مرات متتالية بصير + +81 +00:06:40,120 --> 00:06:44,120 +فيه strong immune response لكن إذا كان دخلنا انتجن + +82 +00:06:44,120 --> 00:06:49,660 +بكميات قليلة غالبا ال immune responses will not be + +83 +00:06:49,660 --> 00:06:54,660 +activatedولا هتتنشط الانفوسايت وفي هذه الحالة + +84 +00:06:54,660 --> 00:06:59,960 +بيحصل توليراس وليس اي ايش immunoresponse سابقا + +85 +00:06:59,960 --> 00:07:04,040 +كتيرنسلي يعني صار في administration و antigen + +86 +00:07:04,040 --> 00:07:10,500 +سابقا كتيرنسلي هذه اكتر ال roads immunogenicity + +87 +00:07:10,500 --> 00:07:13,940 +لانه او المداخل immunogenicity لان ال + +88 +00:07:13,940 --> 00:07:20,680 +antrepresenting cell قاعدة تحتها تحت ليش؟بالتالي + +89 +00:07:20,680 --> 00:07:25,700 +تتلقى في الانتجين وبتعمله تكسير لأن هذا ال + +90 +00:07:25,700 --> 00:07:28,940 +processor present انتجين to effector cell طبيعي + +91 +00:07:28,940 --> 00:07:35,160 +إذا دخل الانتجين through IV يعني intravenous + +92 +00:07:35,160 --> 00:07:44,660 +administration فهيروح الاسمين وهنا ممكن يعمل + +93 +00:07:44,660 --> 00:07:45,340 +tolerance + +94 +00:07:49,360 --> 00:07:54,120 +أو أنه إذا واجه antigen-presenting cell ممكن يعمل + +95 +00:07:54,120 --> 00:07:57,360 +immune response إنما في الغالب يضعم ال tolerance + +96 +00:07:57,360 --> 00:08:01,840 +إذا كان اعتناء subcutaneously في ال .. sorry + +97 +00:08:01,840 --> 00:08:07,840 +intravenously ال antigen يستخدم ال tract برضه هو + +98 +00:08:07,840 --> 00:08:12,580 +عبارة عن root that + +99 +00:08:12,580 --> 00:08:15,620 +produce systemic state of tolerance + +100 +00:08:18,200 --> 00:08:22,660 +إلا إنه ممكن يعمل الـ Local Antibody Production في + +101 +00:08:22,660 --> 00:08:28,100 +منطقة الانتستنال Lamina Propria لكن في الغالب يعمل + +102 +00:08:28,100 --> 00:08:33,100 +طول النصف Administration of Antigen via Intranasal + +103 +00:08:33,100 --> 00:08:39,300 +or Respiratory Route عادة بيعمل allergic reaction + +104 +00:08:39,300 --> 00:08:42,640 +Antigenicity + +105 +00:08:42,640 --> 00:08:47,820 +و Antigen Binding Sitesالـ immune response induced + +106 +00:08:47,820 --> 00:08:52,180 +by antigen usually generate antibody أو المحصلة + +107 +00:08:52,180 --> 00:08:56,760 +lymphocyte that react specifically with the + +108 +00:08:56,760 --> 00:09:00,460 +antigen البورشين + +109 +00:09:00,460 --> 00:09:03,080 +مليئة الأرتباط ما بين ال antigen و ال antibody + +110 +00:09:03,080 --> 00:09:09,460 +بتتم من خلال إيبوتروب على سطح ال antigen ومنطقة في + +111 +00:09:09,460 --> 00:09:14,300 +ال antibody بتحتوي على several hyper variable + +112 +00:09:14,300 --> 00:09:19,920 +region في الطرففي منطقة الفاب وهذه المنطقة الـ + +113 +00:09:19,920 --> 00:09:23,560 +hyper variable region تحتوي على تلت مناطق أساسية + +114 +00:09:23,560 --> 00:09:27,800 +بيسموها complementary determining region حجم ال + +115 +00:09:27,800 --> 00:09:35,460 +ابتوب اللي برتبط بال CDR غالبا بيكون من خمسة لسبعة + +116 +00:09:35,460 --> 00:09:42,280 +amino acids إذا كان ال ابتوب تماميا لاتناشر amino + +117 +00:09:42,280 --> 00:09:49,790 +acids الارتباط بيكون non-covalentوغالبا بكوبك تكون + +118 +00:09:49,790 --> 00:09:53,630 +ترشيري complex اللي هو ال antigen presenting cell + +119 +00:09:53,630 --> 00:09:57,690 +و اللي عملشي موليكيول و اللي بيطول اللي هو ال + +120 +00:09:57,690 --> 00:10:04,450 +antigen ال + +121 +00:10:04,450 --> 00:10:08,850 +number of classes of antigen يعني ال number واحد + +122 +00:10:08,850 --> 00:10:14,540 +polysaccharidesوهذه غالبا لا تكون إميونوجينية إلا + +123 +00:10:14,540 --> 00:10:21,320 +إذا كانت مرتبطة بالبروتين وبالتالي في هذه الحالة + +124 +00:10:21,320 --> 00:10:27,800 +بيصير جليكو بروتين لذلك يعتبر جيد إميونوجينيك مع + +125 +00:10:27,800 --> 00:10:31,160 +طبع ال exceptional case في هذه الحالة هي عبارة عن + +126 +00:10:31,160 --> 00:10:37,100 +ال ABO ABO blood group are polysaccharide يعني فقط + +127 +00:10:37,100 --> 00:10:40,390 +polysaccharideوهي موجودة على سطح كورات الدم + +128 +00:10:40,390 --> 00:10:45,970 +الحمراء and they are extremely and a good example + +129 +00:10:45,970 --> 00:10:52,970 +for antigenicity لالبوليساكرايد in lipids بشكل عام + +130 +00:10:52,970 --> 00:10:57,790 +they are rarely immunogenic ليبوبروتين يوم ترتبط + +131 +00:10:57,790 --> 00:11:04,570 +ببروتين او glycolipid they are immunogenic nucleic + +132 +00:11:04,570 --> 00:11:10,450 +acid by themselvesThey are poor immunogens لكن لما + +133 +00:11:10,450 --> 00:11:13,830 +يرتبطوا ببروتين يوكليوبروتين They are good + +134 +00:11:13,830 --> 00:11:18,190 +immunogens في حدث الأسئلة E على سبيل المثال Anti + +135 +00:11:18,190 --> 00:11:23,310 +-DNA antibody are formed يعني ضد ال نيوكليوبروتين + +136 +00:11:23,310 --> 00:11:29,250 +بروتين All بروتين قاعدة عامة are immunogenic + +137 +00:11:29,250 --> 00:11:35,450 +Complex بروتين are more immunogenic لأنه بحتوى على + +138 +00:11:35,450 --> 00:11:41,290 +multiple إبيتوبمصطلح الـ cross reactivity طبعا + +139 +00:11:41,290 --> 00:11:45,430 +أحسن تشبيه له هو التكسين والتكسويد ماهو التكسين + +140 +00:11:45,430 --> 00:11:48,750 +والتكسويد؟ قلتها زي بعض بس التكسويد هو عبارة عن + +141 +00:11:48,750 --> 00:11:52,870 +التكسين اللي انشالت سميته لكن ال immunogenicity + +142 +00:11:52,870 --> 00:11:59,150 +still there يعني موجودة ال immunogenicity is there + +143 +00:11:59,150 --> 00:12:05,650 +لكن ال toxicity is removed بسموا هذه المادة تكسويد + +144 +00:12:06,300 --> 00:12:12,420 +بالطبع في هذه الحالة تكسيد يمكن أن يتعامل مع تكسيد + +145 +00:12:12,420 --> 00:12:13,160 +بشكل عميق بشكل عميق بشكل عميق بشكل عميق بشكل عميق + +146 +00:12:13,160 --> 00:12:13,360 +بشكل عميق بشكل عميق بشكل عميق بشكل عميق بشكل عميق + +147 +00:12:13,360 --> 00:12:16,480 +بشكل عميق بشكل عميق بشكل عميق بشكل عميق بشكل عميق + +148 +00:12:16,480 --> 00:12:20,880 +بشكل عميق بشكل عميق بشكل + +149 +00:12:20,880 --> 00:12:23,800 +عميق بشكل عميق بشكل عميق بشكل عميق بشكل عميق بشكل + +150 +00:12:23,800 --> 00:12:28,900 +عميق بشكل عميق بشكل عميق بشكل عميق بشكل + +151 +00:12:28,900 --> 00:12:32,560 +عميق بشكل + +152 +00:12:32,560 --> 00:12:41,170 +عميق بالتي تسمى كالترمز + +153 +00:12:41,170 --> 00:12:45,910 +الهومولوجز أو الهيتيرولوجز يعني لما الانتجين اللى + +154 +00:12:45,910 --> 00:12:53,250 +بنستخدمه عشان نعمل immunization بختلف من اللى بده + +155 +00:12:53,250 --> 00:12:58,610 +يعمل immune response بنستخدم الهومولوجز أو + +156 +00:12:58,610 --> 00:13:05,400 +الهيتيرولوجزالهومولوجس بيعني ان الانتجين و + +157 +00:13:05,400 --> 00:13:09,640 +الاميونوجين يختلفوا في هذه الحالة لكن الهيتيرولوجس + +158 +00:13:09,640 --> 00:13:13,760 +الانتجين والاميونوجين يختلفوا في هذه الحالة لكن + +159 +00:13:13,760 --> 00:13:16,220 +في هذه الحالة لكن الهيتيرولوجس الانتجين + +160 +00:13:16,220 --> 00:13:21,140 +والاميونوجن يختلف في هذه الحالة لكن الهيتيرولوجس + +161 +00:13:21,140 --> 00:13:26,500 +الانتجين والاميونوجن يختلف في هذه الحالة لكن + +162 +00:13:26,500 --> 00:13:28,900 +الهيتيرولوجس الاميونوجن يختلف في هذه الحالة لكن + +163 +00:13:28,900 --> 00:13:31,230 +الهيتيرولوجس الاميونوجن يختلف في هذه الحالCross + +164 +00:13:31,230 --> 00:13:39,330 +-reacting substance are + +165 +00:13:39,330 --> 00:13:44,210 +unrelated to each other في بعض الـ cross-reacting + +166 +00:13:44,210 --> 00:13:49,810 +material لا تتشابه لا تتعلق بعض that they have one + +167 +00:13:49,810 --> 00:13:52,830 +or more epitopes in common كل اللي هناك انه فيه + +168 +00:13:52,830 --> 00:14:00,190 +اكتر من واحد من ال Epitopes is shared or commonفي + +169 +00:14:00,190 --> 00:14:05,650 +هذه الحالة الوضع يسمى هيتيروفيليك انتيجين و احسن + +170 +00:14:05,650 --> 00:14:11,990 +مثال عليها اللي هو blood group B انتيجين هم + +171 +00:14:11,990 --> 00:14:16,330 +يتفاعلون مع الانتيبادي لجزء من أسلوب الإيكولايم + +172 +00:14:16,330 --> 00:14:21,530 +الانتيجين من الميكروعركانيزم يسمى هيتيروفيليك + +173 +00:14:21,530 --> 00:14:26,150 +انتيجين بالنسبة لمعنى blood group antigen + +174 +00:14:32,570 --> 00:14:36,410 +أدجوباند يقول أن أدجوباند في أي مادة تضاف على + +175 +00:14:36,410 --> 00:14:42,770 +الإيميونوجين لإزالة إيميونوجينيسته هذا سيحفظ تجارب + +176 +00:14:42,770 --> 00:14:49,630 +الإيميون أدجوباند لا يشارك الإيميونوجينيسته على + +177 +00:14:49,630 --> 00:14:54,890 +الهابتين ماهو ميكانيزم اللي مشتغل فيه الادجوباند + +178 +00:14:54,890 --> 00:14:57,210 +يقول إن إذا كان شخص يزال يزال يزال يزال يزال يزال + +179 +00:14:57,210 --> 00:14:58,550 +يزال يزال يزال يزال يزال يزال يزال يزال يزال يزال + +180 +00:14:58,550 --> 00:15:00,790 +يزال يزال يزال يزال يزال يزال يزال يزال يزال يزال + +181 +00:15:00,790 --> 00:15:02,040 +يزال يزال يزال يزال يزال يزال يزال يزال يزال يزود + +182 +00:15:02,040 --> 00:15:06,440 +ال half-life نمرة اتنين increasing the production + +183 +00:15:06,440 --> 00:15:11,880 +of local inflammatory cytokine برضه نمرة ثلاثة + +184 +00:15:11,880 --> 00:15:16,440 +improving antigen delivery and antigen processing + +185 +00:15:16,440 --> 00:15:20,200 +and presentation by antigen presenting cell + +186 +00:15:20,200 --> 00:15:25,620 +وبالتالي ال adjuvant containing microbial compound + +187 +00:15:25,620 --> 00:15:30,920 +زي ال myocardialmyobacterial extract are the best + +188 +00:15:30,920 --> 00:15:35,660 +adjuvant مثال يعني على الـ adjuvant هي عبارة عن + +189 +00:15:35,660 --> 00:15:41,800 +microbial component زي ال myobacterial extract + +190 +00:15:41,800 --> 00:15:46,820 +اللي موجود في السوق طبعا في هذه الحلقة هذا عبارة + +191 +00:15:46,820 --> 00:15:53,480 +عن figure يبين لي common adjuvant وطريقة عملهاالـ + +192 +00:15:53,480 --> 00:15:57,180 +Aluminium Hydroxide أو الـ Aluminium Phosphate + +193 +00:15:57,180 --> 00:16:01,780 +تأخذ + +194 +00:16:01,780 --> 00:16:09,580 +الانتجين تأخذ الانتجين وهي طبعا في أشهرها الفرنسا + +195 +00:16:09,580 --> 00:16:12,720 +سواء كان complete ولا incomplete وهذا عبارة عن oil + +196 +00:16:12,720 --> 00:16:22,350 +in water with killed mycobacteria هذه الأمثلةوإن + +197 +00:16:22,350 --> 00:16:26,250 +اكتفي بهذه المعلومات عن ال antigen و ال immunogen + +198 +00:16:26,250 --> 00:16:31,750 +مش معنين نعمل محاضرات بستين و سبعين شريحة يكفينا + +199 +00:16:31,750 --> 00:16:38,290 +نتعرف على هذه المعلومة هذه المعلومات للتذكير + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/ZBIIfkK9UEc_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/ZBIIfkK9UEc_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..6657ff91231942d8112d02dec230c23d739ae9de --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/ZBIIfkK9UEc_raw.json @@ -0,0 +1 @@ +{"segments": 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ترشيري complex اللي هو ال antigen presenting cell و اللي عملشي موليكيول و اللي بيطول اللي هو ال antigen ال number of classes of antigen يعني ال number واحد polysaccharides", "tokens": [2407, 17082, 6027, 3555, 995, 4724, 4117, 2407, 3555, 4117, 6055, 30544, 6055, 2288, 8592, 13546, 1829, 3997, 13672, 1829, 31439, 2423, 2511, 3213, 15578, 2815, 4032, 13672, 1829, 6225, 42213, 8592, 1829, 3714, 12610, 1829, 4117, 1829, 12610, 4032, 13672, 1829, 4724, 1829, 9566, 12610, 13672, 1829, 31439, 2423, 2511, 3213, 2423, 1230, 295, 5359, 295, 2511, 3213, 37495, 22653, 2423, 1230, 36764, 24401, 6754, 82, 326, 7374, 1875], "avg_logprob": -0.4947182913901101, "compression_ratio": 1.592814371257485, "no_speech_prob": 0.0, "words": [{"start": 587.11, "end": 587.87, "word": "وغالبا", "probability": 0.80439453125}, {"start": 587.87, "end": 589.47, "word": " بكوبك", "probability": 0.4816162109375}, {"start": 589.47, "end": 589.79, "word": " تكون", "probability": 0.716064453125}, {"start": 589.79, "end": 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00:00:04,760 +بسم الله الرحمن الرحيم والصلاة والسلام على سيد + +2 +00:00:04,760 --> 00:00:09,560 +الخلق أجمعين نلتقي اليوم في محاضرة جديدة بعنوان + +3 +00:00:09,560 --> 00:00:13,700 +Tolerance واكتشاف + +4 +00:00:13,700 --> 00:00:17,800 +هذه العملية بدأت + +5 +00:00:17,800 --> 00:00:26,610 +في 1945 يوم ما Ray Owen بين أن الدايزا يبقى كتل + +6 +00:00:26,610 --> 00:00:33,510 +توينز اللي share the same or common vascular + +7 +00:00:33,510 --> 00:00:40,120 +system يعني اللي هم نفس الاشارالبلاسنتا كانت متعارفة + +8 +00:00:40,120 --> 00:00:46,420 +من بعضها البعض من بعضها البعض من بعضها البعض من + +9 +00:00:46,420 --> 00:00:47,620 +بعضها البعض من بعضها البعض من بعضها البعض من بعضها + +10 +00:00:47,620 --> 00:00:48,100 +البعض من بعضها البعض من بعضها البعض من بعضها البعض + +11 +00:00:48,100 --> 00:00:48,840 +من بعضها البعض من بعضها البعض من بعضها البعض من + +12 +00:00:48,840 --> 00:00:52,160 +البعض من بعضها البعض من + +13 +00:00:52,160 --> 00:00:59,740 +بعضها البعض من بعضها البعض + +14 +00:00:59,740 --> 00:01:01,640 +من + +15 +00:01:13,470 --> 00:01:21,850 +الـ Peter Medawar و شركاه أيضًا أظهر على أن Adult + +16 +00:01:21,850 --> 00:01:22,390 +mice + +17 +00:01:27,280 --> 00:01:35,240 +على اللي هو الـ Neonatal Mice لأ أنا مدور حكى على + +18 +00:01:35,240 --> 00:01:40,980 +ال Adult Mice من Strain معينة Strain A ولا جاب + +19 +00:01:40,980 --> 00:01:45,840 +بعمل Rejection ل Skin graft from Strain B ليش؟ + +20 +00:01:45,840 --> 00:01:49,020 +لأنه both they have different expression of MHC + +21 +00:01:49,020 --> 00:01:54,360 +molecule كل واحد له MHC molecule الخاص بهم بينما + +22 +00:01:55,790 --> 00:02:02,190 +إذا قمنا بإستجابة ميزة من أسطرين A في + +23 +00:02:02,190 --> 00:02:10,730 +أول 24 ساعة من الولادة من أسطرين B، فلن يقوموا + +24 +00:02:10,730 --> 00:02:20,970 +بإستجابة Skin graft من أسطرين B حتى بعد ما يكبر + +25 +00:02:20,970 --> 00:02:26,190 +يعني even when they grow to adulthood بيسموا هذه + +26 +00:02:26,190 --> 00:02:36,170 +الظاهرة Neonatal Tolerance Neonatal Tolerance ال + +27 +00:02:36,170 --> 00:02:40,290 +basis of Neonatal Tolerance بيعتمد على أن ال + +28 +00:02:40,290 --> 00:02:46,110 +Recipient ماعيش or mouse would become Chimeric شو + +29 +00:02:46,110 --> 00:02:50,370 +يعني Chimeric يعني بيحتوي على two pool of two + +30 +00:02:50,370 --> 00:02:55,830 +population of cell cells ال cells تبعته وال cell + +31 +00:02:55,830 --> 00:03:01,910 +اللي أخدناها وعطيناها ليها during اللي هو new + +32 +00:03:01,910 --> 00:03:08,610 +natal life بيحتوي على cells from genetically + +33 +00:03:08,610 --> 00:03:14,140 +different individual موجودة وين في جسمه طبعًا هذه + +34 +00:03:14,140 --> 00:03:17,720 +الخلايا ممكن تكون T-cell Antigen Presenting Cell + +35 +00:03:17,720 --> 00:03:20,600 +Antigen Presenting Cell Antigen Presenting Cell + +36 +00:03:20,600 --> 00:03:20,980 +Antigen Presenting Cell Antigen Presenting Cell + +37 +00:03:20,980 --> 00:03:22,200 +Antigen Presenting Cell Antigen Presenting Cell + +38 +00:03:22,200 --> 00:03:24,880 +Antigen Presenting Cell Antigen Presenting Cell + +39 +00:03:24,880 --> 00:03:25,180 +Antigen Presenting Cell Antigen Presenting Cell + +40 +00:03:25,180 --> 00:03:25,200 +Antigen Presenting Cell Antigen Presenting Cell + +41 +00:03:25,200 --> 00:03:26,020 +Antigen Presenting Cell Antigen Presenting Cell + +42 +00:03:26,020 --> 00:03:34,500 +Antigen Presenting Cell Antigen + +43 +00:03:34,500 --> 00:03:35,160 +Presenting + +44 +00:03:37,820 --> 00:03:43,200 +بسبب تطبيق T-cell في هذه الحيوانات سيكون نقاطًا + +45 +00:03:43,200 --> 00:03:45,720 +نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا + +46 +00:03:45,720 --> 00:03:49,260 +نقاط + +47 +00:03:49,260 --> 00:03:53,660 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +48 +00:03:53,660 --> 00:03:54,000 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +49 +00:03:54,000 --> 00:03:55,120 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +50 +00:03:55,120 --> 00:03:59,840 +نقاط نقاط نقاط + +51 +00:03:59,840 --> 00:04:05,270 +نقفي التدريب الثاني يقول بصير في أولاني في + +52 +00:04:05,270 --> 00:04:07,790 +الأولاني Positive Selection في الثاني في Negative + +53 +00:04:07,790 --> 00:04:11,150 +Selection و Negative Selection يعني أن أحنا بنعرض + +54 +00:04:11,150 --> 00:04:17,590 +عليها ال Antigen Self-Antigen لكن لا تتعامل مع أو + +55 +00:04:17,590 --> 00:04:27,750 +do not يعني bind with it Central + +56 +00:04:27,750 --> 00:04:31,180 +Tolerance يعني الـ Tolerance هو مصطلح Antigen بشكل + +57 +00:04:31,180 --> 00:04:32,760 +مستقل للعين بشكل مستقل للعين بشكل مستقل للعين + +58 +00:04:32,760 --> 00:04:33,580 +بشكل مستقل للعين بشكل مستقل للعين بشكل مستقل + +59 +00:04:33,580 --> 00:04:35,820 +للعين بشكل مستقل للعين بشكل مستقل للعين بشكل + +60 +00:04:35,820 --> 00:04:36,380 +مستقل للعين بشكل مستقل للعين بشكل مستقل للعين + +61 +00:04:36,380 --> 00:04:40,900 +بشكل مستقل للعين بشكل مستقل للعين بشكل مستقل + +62 +00:04:40,900 --> 00:04:46,600 +للعين بشكل مستقل للعين بشكل مستقل للعين بشكل + +63 +00:04:46,600 --> 00:04:54,580 +مستقل للعين بشكل مستقل للعين بشكل مستقل للع + +64 +00:04:56,950 --> 00:05:14,570 +يقومون بتنشيط الخلية + +65 +00:05:14,570 --> 00:05:19,770 +أو يقومون بتنشيط الخلية + +66 +00:05:28,050 --> 00:05:34,070 +أو أنه يصبح غير نشط بمعنى أنه يصبح غير غير نشط + +67 +00:05:34,070 --> 00:05:39,750 +only cells with Antigen Specific Receptor تبعي جداً + +68 +00:05:39,750 --> 00:05:44,940 +أحنا في هذه الحالة ما بنعمل توليرانس لكل الخلايا + +69 +00:05:44,940 --> 00:05:49,400 +وإنما الخلية التي هي Specific for Self-Antigen أو + +70 +00:05:49,400 --> 00:05:52,800 +الانتجن اللي أحنا دخلناها اللي هي اللي بيصير + +71 +00:05:52,800 --> 00:05:58,300 +Tolerized يبقى Specific Tolerance Induced During + +72 +00:05:58,300 --> 00:06:02,680 +the early stage of Lymphocyte Development بيسموه + +73 +00:06:02,680 --> 00:06:06,220 +Central Tolerance بينما ال Tolerance اللي بيصير in + +74 +00:06:06,220 --> 00:06:09,940 +Mature Lymphocyte بيسموه Peripheral Tolerance يعني + +75 +00:06:09,940 --> 00:06:14,120 +واحدة بيصير هذا هو الـ Central Tolerance يحدث في + +76 +00:06:14,120 --> 00:06:16,820 +الـ Primary Lymphoid Organs والثانية الـ + +77 +00:06:16,820 --> 00:06:19,920 +Peripheral Tolerance تظهر خارج الـ In Vitro الـ + +78 +00:06:19,920 --> 00:06:26,180 +Secondary Over Blood كيف + +79 +00:06:26,180 --> 00:06:31,480 +يحدث التولرانس؟ يوجد أكثر من ميكانيزم نمرا واحد + +80 +00:06:31,480 --> 00:06:36,480 +Anergy نمرا اثنين Receptor Editing نمرا ثلاثة + +81 +00:06:36,480 --> 00:06:40,300 +Deletion نمرا أربعة Clonal Ignorance + +82 +00:06:42,770 --> 00:06:47,670 +ماشي ونشوف واحدة واحدة طبعًا زي ما أنتم شايفين هذا + +83 +00:06:47,670 --> 00:06:54,950 +ال figure بتوضح ذلك يومها بيلمفوسايت + +84 +00:06:54,950 --> 00:07:03,850 +دي على سطحها BCR ماشي تقدملها ال Antigen من خلية + +85 +00:07:03,850 --> 00:07:08,250 +اللي هو Self-Bound Antigen ماشي + +86 +00:07:09,820 --> 00:07:14,440 +يعني خلية دنتريتك سيل أو أي سيل ماسكة Self-Antigen + +87 +00:07:14,440 --> 00:07:19,120 +تقدمها صادفة للبي لينفوسايت على سطح بي سي ار أو + +88 +00:07:19,120 --> 00:07:24,260 +حتى ال Self-Antigen as a soluble Antigen ارتقى + +89 +00:07:24,260 --> 00:07:29,320 +بالبي لينفوسايت ماشي ولجأ خلية على سطح بي سي ار + +90 +00:07:29,320 --> 00:07:33,960 +which is Specific to that Antigen اللي هو مين اللي + +91 +00:07:33,960 --> 00:07:38,800 +هو ال Auto Antigen شو بيحصل في الخلية هذه يعني + +92 +00:07:38,800 --> 00:07:43,040 +بيحصل واحد من ثلاثة احتمالات الاحتمال الأولاني أنه + +93 +00:07:43,040 --> 00:07:49,400 +يحصل فيه Anergy يعني Inactivation للخلية الاحتمال + +94 +00:07:49,400 --> 00:07:54,700 +الثاني أنه يحصل Deletion by Apoptosis لكن قبل ما + +95 +00:07:54,700 --> 00:07:58,180 +يحصل هذا بيحصل فيه احتمال ثالث اللي هو هذا اللي + +96 +00:07:58,180 --> 00:08:01,240 +بيسموه Receptor Editing الآن أحد يعرفش يعني + +97 +00:08:01,240 --> 00:08:07,280 +Receptor Editing بمعنى أن هي بتغير بتعيد طباعة ال + +98 +00:08:07,280 --> 00:08:15,200 +BCR اللي على سطحها ال + +99 +00:08:15,200 --> 00:08:23,780 +Anergy كلنا ال Anergy ببساطة هي عبارة عن Functional + +100 +00:08:23,780 --> 00:08:28,740 +Inactivation of Cells بتبطل الخلية تشتغل بتبطل + +101 +00:08:28,740 --> 00:08:32,960 +الخلية Has Function وهذا بيؤدي إلى Non + +102 +00:08:32,960 --> 00:08:37,520 +Responsiveness Upon Contact with Self Antigen + +103 +00:08:37,520 --> 00:08:42,160 +طبيعي جداً الخلية لا تستجيب ولا تحدث Immune + +104 +00:08:42,160 --> 00:08:45,560 +Response طبعًا في هذه الحالة ال B Lymphocyte Cannot + +105 +00:08:45,560 --> 00:08:49,120 +Differentiate into Antibody Secreting Cell والـ T + +106 +00:08:49,120 --> 00:08:51,620 +Lymphocyte Do Not Proliferate and Unable to + +107 +00:08:51,620 --> 00:08:55,000 +Produce Cytokine خلاص بيحصل فيه Unresponsiveness + +108 +00:08:55,000 --> 00:08:59,960 +ال B Cell Specific لل T Dependent Antigen بيدها + +109 +00:08:59,960 --> 00:09:04,100 +Two Signal عشان تتنشط واحدة بيوفرها ال Antigen + +110 +00:09:04,100 --> 00:09:11,440 +والثانية بتأخذها من ال T Cell في غياب ال Second + +111 +00:09:11,440 --> 00:09:16,720 +Signal ال B Lymphocyte Would Not Response يعني + +112 +00:09:16,720 --> 00:09:18,080 +بيصير Unresponsive + +113 +00:09:20,450 --> 00:09:26,990 +السيجنال الثاني يتم إعطاؤه بواسطة الـ CD4T Ligand + +114 +00:09:26,990 --> 00:09:30,830 +الموجود على الـ T-Lymphocyte خلال ارتباطه بالـ + +115 +00:09:30,830 --> 00:09:38,630 +CD4T الموجود على سطح الـ T-Lymphocyte T-cell أيضًا + +116 +00:09:38,630 --> 00:09:42,050 +يتطلبون اتصالين واثنين لكي يتم إعطاؤها واحدة + +117 +00:09:42,050 --> 00:09:46,350 +بوفرها الـ MHC-Peptide Complex والثانية + +118 +00:09:47,840 --> 00:09:51,480 +من خلال التعامل مع Costimulatory Molecule بسبب + +119 +00:09:51,480 --> 00:09:56,480 +الـ B7 الموجود على الانتجن الذاتية والـ CD28 + +120 +00:09:56,480 --> 00:10:04,240 +الموجود على سطح الـ T الميفوسايتس الـ Delivery of + +121 +00:10:04,240 --> 00:10:07,760 +the First Signal ممكن تؤدي إلى Transcriptional + +122 +00:10:07,760 --> 00:10:14,540 +Factor زي اللي + +123 +00:10:14,540 --> 00:10:19,300 +بيرتبط من ال Promoter Region of IL2 طبعًا هذا بيؤدي + +124 +00:10:19,300 --> 00:10:24,040 +إلى Transcription of IL2 إلا إذا كان ال First + +125 +00:10:24,040 --> 00:10:27,980 +Signal اللي هي الأمشي بتاعت ال Complex + +126 +00:10:48,210 --> 00:10:59,610 +الخلية لا تستطيع تكوين الـ IL-2 cytokine وبالتالي لا + +127 +00:10:59,610 --> 00:11:06,130 +يوجد اكتفاش وهذا المظهر يورّجنا ايه هو الـ two + +128 +00:11:06,130 --> 00:11:14,370 +signals هذه الأولانية MHC bind انتيجن مرتبط بالـ TCR + +129 +00:11:14,370 --> 00:11:24,290 +أو الـ BCR والتانية CD40-ligand interaction صار + +130 +00:11:24,290 --> 00:11:29,740 +في بيسل اكتفاش وصار في antibody secretion بينما هنا + +131 +00:11:29,740 --> 00:11:35,600 +صار فيه ارتباط ما بين الانتيجن لكن مافيه second + +132 +00:11:35,600 --> 0:11:39,800 +signal اللي هي CD40-ligand interaction وبالتالي + +133 +00:11:39,800 --> 00:11:48,820 +الخلية صارت لا صار انيرجيك نفس + +134 +00:11:48,820 --> 00:11:55,080 +الحكاية دي هي دنتر تكسل قدمت لـ T lymphocytes من + +135 +00:11:55,080 --> 00:11:58,640 +خلال MSC Class II موليكيول الانتيجن اتصار فيه فرش + +136 +00:11:58,640 --> 00:12:06,540 +Signal وهي CD28 مع B7 قدّمت الـ Second Signal اتنشطت + +137 +00:12:06,540 --> 00:12:11,660 +الـ T lymphocyte وكوّنت IL-2 cytokine وبالتالي + +138 +00:12:11,660 --> 00:12:18,930 +صلّها الـ activation في يوم يكون الـ T-Lymphocytes + +139 +00:12:18,930 --> 00:12:22,490 +يوم ترتبط بالـ Antigen ويحصل فيه الـ First Signal + +140 +00:12:22,490 --> 00:12:26,050 +لكن الـ Second Signal مفقود، معناته تبتسل + +141 +00:12:26,050 --> 00:12:31,330 +Energized الـ + +142 +00:12:31,330 --> 00:12:36,450 +Receptor Editing يقول بأنه الـ T-Lymphocytes تعيد + +143 +00:12:36,450 --> 00:12:39,870 +تصفية + +144 +00:12:39,870 --> 00:12:44,130 +الجينة المسؤولة عن الـ Light Chain Variable Gene + +145 +00:12:44,130 --> 00:12:53,590 +Segment بعد ما اتكونت الـ VG Unit وبتختار + +146 +00:12:53,590 --> 00:13:00,630 +Unarranged Element على سبيل المثال V1G5 بدل اللي + +147 +00:13:00,630 --> 00:13:07,150 +already اترتب سابقًا وبتعمل Secondary Arrangement + +148 +00:13:07,150 --> 00:13:12,820 +وبالتالي الـ diversity بتزيد وبيسموها عملية نسخ + +149 +00:13:12,820 --> 00:13:18,200 +جديدة للريسبتور للريسبتور وبالتالي صار في ريسبتور + +150 +00:13:18,200 --> 00:13:23,900 +specificity جديدة وطبعًا في هذه الحالة ممكن تكون + +151 +00:13:23,900 --> 00:13:28,640 +الريسبتور اللي طلع is not specific like auto + +152 +00:13:28,640 --> 00:13:33,500 +reactivity is not specific to auto antigen + +153 +00:13:35,630 --> 00:13:40,410 +هل يبدأ بإعادة على السريع ولا إذا كان طلع PCR على + +154 +00:13:40,410 --> 00:13:44,250 +سطح الـ B-cell which is specific for autoantigen + +155 +00:13:44,250 --> 00:13:48,970 +على طول الـ B-lymphocyte بتعمل editing، شو يعني؟ + +156 +00:13:48,970 --> 00:13:52,430 +بتروح وهي عادة تصفية الجينات المسؤولة عن الـ + +157 +00:13:52,430 --> 00:13:57,330 +variable gene variable segment تبعت الـ light + +158 +00:13:57,330 --> 00:13:57,550 +chain + +159 +00:14:00,860 --> 00:14:05,420 +كذا تجهز تصفيتها وتعمل تصفيتها الجديدة على سبيل + +160 +00:14:05,420 --> 00:14:11,200 +المثال تختار أي نوع تاني V1 V5 V1 V5 V1 V1 V1 V1 + +161 +00:14:11,200 --> 00:14:12,120 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +162 +00:14:12,120 --> 00:14:14,100 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +163 +00:14:14,100 --> 00:14:14,160 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +164 +00:14:14,160 --> 00:14:15,400 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +165 +00:14:28,230 --> 00:14:33,150 +بالعكس من الـ Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس + +166 +00:14:33,150 --> 00:14:37,430 +Vα لوكاس Vα لوكاس Vα لوكاس + +167 +00:14:37,430 --> 00:14:38,290 +Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα + +168 +00:14:38,290 --> 00:14:42,330 +لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس + +169 +00:14:42,330 --> 00:14:42,430 +Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα + +170 +00:14:42,430 --> 00:14:42,690 +لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس + +171 +00:14:42,690 --> 00:14:47,910 +Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα لوكاس Vα + +172 +00:14:47,910 --> 00:14:52,750 +لوكاس Vα لوكاس + +173 +00:14:58,760 --> 00:15:01,620 +يوم ما تتعرض لـ Negative Selection Negative + +174 +00:15:01,620 --> 00:15:05,200 +Selection طبعًا الاحتمال في هذه الحالة أنه يصير + +175 +00:15:05,200 --> 00:15:08,840 +Apoptosis لكن أيضًا الاحتمال أنه يصير Receptor + +176 +00:15:08,840 --> 00:15:13,460 +Editing Deletion + +177 +00:15:13,460 --> 00:15:18,060 +Autoreactive B-cell and T-cell are eliminated + +178 +00:15:18,060 --> 00:15:24,920 +Apoptosis is the basic mechanism وبصير + +179 +00:15:26,990 --> 00:15:32,350 +في الـ negative selection وطبعًا هذا الكلام بيصير + +180 +00:15:32,350 --> 00:15:35,530 +في الـ primary lymphoid organs في الـ thymus للـ T + +181 +00:15:35,530 --> 00:15:40,810 +lymphocyte و الـ bone marrow للـ B lymphocyte في الـ + +182 +00:15:40,810 --> 00:15:45,950 +thymus الـ double positive T lymphocyte اللي بتثبت + +183 +00:15:45,950 --> 00:15:52,330 +بـ high affinity with antigen plus MHC molecule in + +184 +00:15:52,330 --> 00:15:59,470 +the thymus have been undergone Rapid Deletion وطبعًا + +185 +00:15:59,470 --> 00:16:03,450 +ما يحصل في الـ T-Lymphocyte يحصل للـ B-Lymphocytes + +186 +00:16:03,450 --> 00:16:07,270 +لكن بيحصل في الـ Bone marrow الـ B-Lymphocyte في + +187 +00:16:07,270 --> 00:16:10,310 +الـ Bone marrow و T-Lymphocyte في الـ Thymus + +188 +00:16:10,310 --> 00:16:18,950 +Criminal Ignorance انتيجن دخل لكن مافيه استجابة لهذا + +189 +00:16:18,950 --> 00:16:25,430 +الانتيجن شو الدعوة؟ قالوا والله الانتيجن بيكون إما + +190 +00:16:25,430 --> 00:16:34,510 +قليل أو إما الخلية على سطح الـ Receptor لديها أفينيتي + +191 +00:16:34,510 --> 00:16:39,490 +عالية لـ Antigen لذلك لا يحدث ارتباط يعني الـ + +192 +00:16:39,490 --> 00:16:46,910 +Antigen و الخلية الفاعلة يكونوا موجودين وهذا بشكل + +193 +00:16:46,910 --> 00:16:52,330 +خطر كبير في الجسم في أي لحظة ممكن تتنشط هذه الخلية + +194 +00:16:52,330 --> 00:17:00,740 +وتعمل autoimmune disease وبالتالي وجودها خطر وجودها + +195 +00:17:00,740 --> 00:17:08,920 +خطر و .. if the B cell with low affinity for self + +196 +00:17:08,920 --> 00:17:14,080 +antigen undergone undergoes somatic mutation و بدت و + +197 +00:17:14,080 --> 00:17:17,200 +اتحولت لـ high affinity اللي هو affinity تبعتها + +198 +00:17:17,200 --> 00:17:21,020 +صارت high affinity to self antigen ممكن تتمشر + +199 +00:17:21,020 --> 00:17:30,220 +بسهولة ونفس الكلام ينطبق على الـT-lymphocyte which + +200 +00:17:30,220 --> 00:17:33,460 +can also be activated if the concentration of self + +201 +00:17:33,460 --> 00:17:39,580 +-peptide is increased يجاها وجود الـantigen المهمل + +202 +00:17:39,580 --> 00:17:45,540 +اللي ignored antigen وقلنا مهمل لأنه either it has + +203 +00:17:45,540 --> 00:17:52,060 +low concentration orالريسبتور على السلسلة المشغولة + +204 +00:17:52,060 --> 00:17:56,040 +لديها أفينيتي قصيرة لتعامل مع ذلك الانتيجن فبالتالي + +205 +00:17:56,040 --> 00:18:00,340 +بيحصل فيه اكتفاش لهذا الانتيجن لكن قلنا في أي لحظة + +206 +00:18:00,340 --> 00:18:04,120 +من اللحظات ممكن يزيد الـ concentration of انتيجن و + +207 +00:18:04,120 --> 00:18:08,680 +إما يزيد الـ affinity of الريسبتور ويحصل على أوتو + +208 +00:18:08,680 --> 00:18:09,200 +إيميون + +209 +00:18:11,730 --> 00:18:14,730 +الـ Peripheral Tolerance طبعًا الكلام اللي قلناه + +210 +00:18:14,730 --> 00:18:17,370 +هذا طوي كنا بنحكي على الـ Central Tolerance وين + +211 +00:18:17,370 --> 00:18:21,090 +بيصير في الـ primary lymphoid organs وين في الـ bone + +212 +00:18:21,090 --> 00:18:24,130 +marrow and thymus بالنسبة للـ B وT اللينفوسايت + +213 +00:18:24,130 --> 00:18:26,770 +قلنا الـ Peripheral Tolerance بيصير in the + +214 +00:18:26,770 --> 00:18:33,650 +periphery خلايا هربت من الـ primary lymphoid organs + +215 +00:18:33,650 --> 00:18:38,970 +as autoreactive cell ماشي ونزلت على الـ periphery + +216 +00:18:38,970 --> 00:18:43,530 +لكن في الـ periphery This will undergo somatic + +217 +00:18:43,530 --> 00:18:47,850 +mutation in the periphery ومرّات الـ mutation بتؤدي + +218 +00:18:47,850 --> 00:18:53,950 +إلى auto reactive specificity فشو اللي بيصير؟ + +219 +00:18:53,950 --> 00:18:58,690 +بيصيرها peripheral tolerance وبالتالي الـ + +220 +00:18:58,690 --> 00:19:03,810 +peripheral tolerance بشكل يعني شبكة + +221 +00:19:10,390 --> 00:19:15,630 +اللي شردت من البريفرال + +222 +00:19:15,630 --> 00:19:22,430 +اللمفاوية الأولي على البريفري عاشر ميكانيزمات اللي + +223 +00:19:22,430 --> 00:19:27,490 +بتعمل البرفلر تجنس جاله إما انرجي وإما deletion + +224 +00:19:27,490 --> 00:19:32,800 +وإما activation induced cell death و Induction of + +225 +00:19:32,800 --> 00:19:37,940 +Regulatory T Cell و T + +226 +00:19:37,940 --> 00:19:43,500 +Cell Energy بيعتبر هو الـ Major Mechanism for + +227 +00:19:43,500 --> 00:19:49,240 +Induction of Unresponsiveness States للـ Self + +228 +00:19:49,240 --> 00:19:51,680 +Antigen في البريفيري + +229 +00:19:54,500 --> 00:19:58,640 +نقطة ثانية كمان خلايا جاية من البنكرياس اسم الـ + +230 +00:19:58,640 --> 00:20:02,540 +kidney من الـ liver و بعض الأعضاء الأخرى do not + +231 +00:20:02,540 --> 00:20:06,640 +express co-stimulatory موليكيول وبالتالي الـ + +232 +00:20:06,640 --> 00:20:11,640 +انتيجن presented by these cell are likely induce + +233 +00:20:11,640 --> 00:20:16,460 +anergy مدى مافيش second signal اللي هو الـ co + +234 +00:20:16,460 --> 00:20:22,800 +-stimulatory signal بلده برضه فيه anergy T-cells + +235 +00:20:22,800 --> 00:20:28,360 +encountered antigen in the periphery لكن يعني مسكت + +236 +00:20:28,360 --> 00:20:33,680 +بالانتيجن في البريفري لكن مافيش T-cell اتزودها بالـ + +237 +00:20:33,680 --> 00:20:38,960 +second signal أيضًا will undergo anergy deletion + +238 +00:20:38,960 --> 00:20:45,680 +also occur in the periphery طبعًا الـ deletion بتتم + +239 +00:20:45,680 --> 00:20:51,060 +من خلال الـ Fas Fas ligand interaction والـ Fas مدينة + +240 +00:20:51,060 --> 00:20:56,520 +أبوبتوسيد من خلال اللي هو الـ ligation of Fas + +241 +00:20:56,520 --> 00:21:00,540 +ligand بعد .. طبعًا مصير فيه removal of the mature + +242 +00:21:00,540 --> 00:21:04,300 +autoreactive B-lymphocytes بعد الارتباط بين الـ Fas + +243 +00:21:04,300 --> 00:21:07,740 +و الـ Fas ligand الـ Fas بحد ذاته عبارة عن monomer + +244 +00:21:07,740 --> 00:21:12,360 +expressed + +245 +00:21:12,360 --> 00:21:18,540 +by activated lymphocytes وهو عبارة عن عضو في الـ human + +246 +00:21:18,540 --> 00:21:24,300 +TNF factor family receptor ارتباط الـ Fas بالـ Fas + +247 +00:21:24,300 --> 00:21:29,460 +ligand بينقل + +248 +00:21:29,460 --> 00:21:36,840 +إشارة اسمها apoptotic signal للخلية اللي على سطح + +249 +00:21:36,840 --> 00:21:42,770 +الـ Fas وطبعًا Fas ligand يتم إدراكه بشكل عام بشكل عام + +250 +00:21:42,770 --> 00:21:43,990 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +251 +00:21:43,990 --> 00:21:46,230 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +252 +00:21:46,230 --> 00:21:48,310 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +253 +00:21:48,310 --> 00:21:50,670 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +254 +00:21:50,670 --> 00:21:51,870 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +255 +00:21:51,870 --> 00:21:52,210 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +256 +00:21:52,210 --> 00:22:02,270 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +257 +00:22:02,270 --> 00:22:04,790 +بشكل عام + +258 +00:22:09,280 --> 00:22:15,660 +في الـ Fas حيث انتشرت بـ Death Domain of several + +259 +00:22:15,660 --> 00:22:21,500 +cytosolic adaptor proteins أشهرها هو الـ Fas اللي + +260 +00:22:21,500 --> 00:22:27,580 +هو الـ Fas Associated Death Domain وطبعا متى ما + +261 +00:22:27,580 --> 00:22:33,200 +صار الارتباط بيصير فيه تكوين لمجموعة من الـ + +262 +00:22:33,200 --> 00:22:38,710 +cysteine بروتييز بيسموها Caspases Enzyme وهذا بتؤدي + +263 +00:22:38,710 --> 00:22:46,870 +إلى apoptosis of cell الناس اللي ما عندهمش طبعا + +264 +00:22:46,870 --> 00:22:51,350 +Fas ممكن يصير عندهم auto immune proliferative + +265 +00:22:51,350 --> 00:22:55,090 +syndrome والفاز Fas ligand + +266 +00:22:57,910 --> 00:23:03,430 +التي تخلصنا من الـ T-Lymphocytes في الـ periphery. It + +267 +00:23:03,430 --> 00:23:07,190 +also may be involved in mediating negative + +268 +00:23:07,190 --> 00:23:10,450 +selection في الـ Thymus. كمان نفس الحكاية ممكن + +269 +00:23:10,450 --> 00:23:13,710 +تصير، نفس الميكانيزم هذا اللي بيصير في الـ periphery + +270 +00:23:13,710 --> 00:23:19,600 +ممكن تصير في الـ Thymus. Energized B-Lymphocytes هي + +271 +00:23:19,600 --> 00:23:23,760 +مستحيلة أيضًا لـ Fas-mediated apoptosis يعني + +272 +00:23:23,760 --> 00:23:27,000 +الميكانيزم هذا اللي بيصير في الـ T-Lymphocyte ممكن + +273 +00:23:27,000 --> 00:23:32,580 +يصير في الـ B-Lymphocyte وهذا + +274 +00:23:32,580 --> 00:23:38,140 +هو الميكانيزم شايفين الـ Fas اللي هو عبارة عن CD + +275 +00:23:38,140 --> 00:23:41,220 +95 + +276 +00:23:41,220 --> 00:23:50,190 +It has death domain يوم ما يرتبط الـ Fas-ligand هذا + +277 +00:23:50,190 --> 00:23:59,670 +هو الـ Fas اللي كان بالـ FAD شو بيصير قالوا الـ Fas الـ + +278 +00:23:59,670 --> 00:24:05,190 +domain will be activated وطبعا هي الـ primary + +279 +00:24:05,190 --> 00:24:10,870 +caspases will be activated و بيكون caspase-8 اللي بنشط + +280 +00:24:10,870 --> 00:24:17,210 +caspase-3 و ال caspase-3 بعمل DNA fragmentation + +281 +00:24:17,210 --> 00:24:22,580 +وبالتالي تخليها بسلحة apoptosis بتعمل عملية تنشيط + +282 +00:24:22,580 --> 00:24:27,860 +Caspase enzyme من خلال ارتباط الـ Fas بالـ Fas ligand أو + +283 +00:24:27,860 --> 00:24:32,440 +بالـ FAD اللي ماسك بالـ Fas ligand وبالتالي بيتكون + +284 +00:24:32,440 --> 00:24:38,000 +Caspase 8 اللي بنشط Caspase 3 أمر عن سلسلة من ال + +285 +00:24:38,000 --> 00:24:42,760 +Caspases اللي بيعمل الـ DNA Fragmentation of Cell + +286 +00:24:42,760 --> 00:24:48,720 +خلّيها باسم Apoptotic Cell + +287 +00:24:52,370 --> 00:24:55,370 +regulatory or suppressor T cell يبدأ شوفنا ال + +288 +00:24:55,370 --> 00:24:59,790 +deletion شوفنا الـ receptor editing و شوفنا الـ + +289 +00:24:59,790 --> 00:25:05,110 +energy كمان بيصير في حال تكوين لـ regulatory T + +290 +00:25:05,110 --> 00:25:09,810 +lymphocytes بسموها suppressor T cell وهي طبعا هذه + +291 +00:25:09,810 --> 00:25:15,230 +عبارة عن CD4 T cell اللي بتعمل عندها القدرة to + +292 +00:25:15,230 --> 00:25:22,680 +down regulate T cell functionبسموها تي ريج تي ريج + +293 +00:25:22,680 --> 00:25:28,250 +express CD 25 وهي عبارة عن IL-2 receptor Alpha + +294 +00:25:28,250 --> 00:25:36,690 +Chain CD4-CD25 T regulatory Cell بتشكل حوالي 10% من + +295 +00:25:36,690 --> 00:25:44,010 +الـ CD4 Positive Cell الميس اللي ما عنده CD4 + +296 +00:25:44,010 --> 00:25:48,230 +Positive CD25 Positive T regulatory Cell بيعمل + +297 +00:25:48,230 --> 00:25:51,570 +Autoimmune Disease زي Thyroiditis, Gastritis, + +298 +00:25:51,710 --> 00:25:58,010 +Insulitis, Angiomarynephritis و T suppressor cell + +299 +00:25:58,010 --> 00:26:04,130 +suppress graft versus host disease induced by CD4 + +300 +00:26:04,130 --> 00:26:10,990 +positive CD25 negative T lymphocytes هي أيضا T + +301 +00:26:10,990 --> 00:26:15,370 +suppressor cell اللي بتعمل تثبيت لـ graft versus + +302 +00:26:15,370 --> 00:26:23,910 +host disease rejection CD4 positive 25 positive T + +303 +00:26:23,910 --> 00:26:29,480 +suppressor cell قالوا إما Produce + +304 +00:26:29,480 --> 00:26:37,760 +either low or very low level of IL-2 لكن معظمهم + +305 +00:26:37,760 --> 00:26:41,360 +Produce + +306 +00:26:41,360 --> 00:26:44,280 +immunosuppressive drug اللي هو Transforming Growth + +307 +00:26:44,280 --> 00:26:45,000 +Factor Beta + +308 +00:26:51,850 --> 00:26:56,490 +يعني هي ما بتكون IL-2 Receptor وهذا عبارة عن T + +309 +00:26:56,490 --> 00:27:01,070 +cell activator وبالتالي أو بتكونه بكمية قليلة جدا + +310 +00:27:01,070 --> 00:27:05,470 +لكن الـ cytokine الأساسي اللي بيتكون هو transforming + +311 +00:27:05,470 --> 00:27:10,050 +growth factor بيتا وهذا inhibitory cytokine من + +312 +00:27:10,050 --> 00:27:14,640 +الحاجات المهمة كمان إنه They also express chemokine + +313 +00:27:14,640 --> 00:27:24,480 +receptor 4 و دولهم من يؤدوا إلى كيموتاكتك cytokine + +314 +00:27:24,480 --> 00:27:29,700 +أو chemokine بيؤدوا إلى الـ migration of cells to + +315 +00:27:29,700 --> 00:27:35,460 +inflamed organ أو بيروحوا على الـ lymph nodes ساحة + +316 +00:27:35,460 --> 00:27:40,640 +المعركة كيف بيعملوا الـ suppression؟ قالوا they + +317 +00:27:40,640 --> 00:27:45,930 +induce suppression من خلال الـ cell to cell contact + +318 +00:27:45,930 --> 00:27:50,510 +لازم هو يحصل فيه cell to cell contact ومتى ما صار + +319 +00:27:50,510 --> 00:27:53,210 +فيه contact يـ inhibit الـ proliferation and + +320 +00:27:53,210 --> 00:27:58,630 +activation لإما CD4 أو CD8 cell وبالتالي يمنعه + +321 +00:27:58,630 --> 00:28:04,870 +اللي هو الـ transcription of IL-2 في هذه الخلايا + +322 +00:28:04,870 --> 00:28:10,960 +ومتى ما صار مافيش IL-2 مافيش activation في نوعين + +323 +00:28:10,960 --> 00:28:18,200 +تمين من الـ CD4 T-lymphocyte that have suppressive + +324 +00:28:18,200 --> 00:28:23,480 +activity have been identified واحدة بيسموها TR1 + +325 +00:28:23,480 --> 00:28:28,500 +و الثانية بيسموها T-Helper 3 لأن TR1 بتطلع + +326 +00:28:28,500 --> 00:28:32,860 +inhibitory cytokine زي IL-10, transforming growth + +327 +00:28:32,860 --> 00:28:42,930 +factor beta و it has no أو قليل من الـ IL-2 و IL-4 + +328 +00:28:42,930 --> 00:28:46,710 +و الـ Cytokine يعني اللي بتنتجه هم عبارة عن + +329 +00:28:46,710 --> 00:28:51,910 +Inhibitory Cytokine بيقولوا + +330 +00:28:51,910 --> 00:28:59,950 +إنّه اتفضل إنّ الـ B7-1 و B7-2 على سطح الـ Antigen + +331 +00:28:59,950 --> 00:29:05,630 +presenting cell مع الـ CTLA-4 اللي هو ريسبتور على + +332 +00:29:05,630 --> 00:29:14,020 +الـ Treg بيؤدي إلى Costimulatory Signal لكنها + +333 +00:29:14,020 --> 00:29:18,240 +Inhibitory Signal مش Stimulatory Signal وبالتالي + +334 +00:29:18,240 --> 00:29:21,280 +بيصير فيه Suppressive يوم بيوم ما الـ + +335 +00:29:21,280 --> 00:29:25,680 +Costimulation يصير بس من خلال الارتباط بـ CTLA4 + +336 +00:29:25,680 --> 00:29:30,500 +بدل CD28 بيصير فيه إيش Inhibitory Signal وبالتالي + +337 +00:29:30,500 --> 00:29:35,300 +بيصير فيه Suppressive لـ الخلايا ميكانيزم تاني أيضا + +338 +00:29:35,300 --> 00:29:39,200 +بيعمل Suppression وهو الـ Lymphocyte Activation + +339 +00:29:39,200 --> 00:29:45,780 +Gene 3 اللي هو Lag-3 يوم ما يرتبط Lag-3 بالـ + +340 +00:29:45,780 --> 00:29:50,860 +MHC Class II Molecule اللي ماسك الـ Antigen بيصير فيه + +341 +00:29:50,860 --> 00:29:58,200 +activation لـ Treg وبالتالي Inhibition of T cell + +342 +00:29:58,200 --> 00:30:03,620 +activation IL-10, Transforming Growth Factor Beta + +343 +00:30:03,620 --> 00:30:07,520 +مطلوبين for activation of Treg suppression + +344 +00:30:07,520 --> 00:30:14,530 +T Helper 3 أيضا وجدوها لكن وجدوها شغلها الأساسي في + +345 +00:30:14,530 --> 00:30:18,490 +الـ Oral Tolerance ووجدوا أنها بتنتج + +346 +00:30:18,490 --> 00:30:20,790 +Transforming Growth Factor Beta يعني + +347 +00:30:20,790 --> 00:30:26,130 +تمنع الـ Cytokine ومن خلال هذا الـ Cytokine بيصير + +348 +00:30:26,130 --> 00:30:33,030 +فيه Inhibition وهذا الميكانيزم of over suppression هي + +349 +00:30:33,030 --> 00:30:40,220 +Treg كيف اشتغلت Treg ليه CD24 و CD25 هذا هو + +350 +00:30:40,220 --> 00:30:43,580 +الارتباط + +351 +00:30:43,580 --> 00:30:48,720 +الأول MHC مع + +352 +00:30:48,720 --> 00:30:53,100 +TCR MHC ده جاي من Antigen Presenting Cell ماسكة + +353 +00:30:53,100 --> 00:30:58,430 +Antigen قدمته لها الـ T-cell اللي هو Treg أتت + +354 +00:30:58,430 --> 00:31:04,010 +ترتبط تعمل costimulation بس من خلال ايه؟ CD + +355 +00:31:04,010 --> 00:31:09,830 +الارتباط اللي هو CD28 اللي هم بي سبن مع CTLA4 + +356 +00:31:09,830 --> 00:31:15,390 +و قلنا هذا بيعمل inhibitory signal وبالتالي there + +357 +00:31:15,390 --> 00:31:21,290 +is no IL-2 cytokine production وبالتالي مافيش + +358 +00:31:21,290 --> 00:31:26,070 +activation أو شو بيعمل هدوء طبعا هدوء صار في اكتئاب + +359 +00:31:26,070 --> 00:31:34,630 +إنه بيشيل للخلية أو إنه Lag-3 gene lymphocyte + +360 +00:31:34,630 --> 00:31:39,370 +activating gene رقم تلاتة بيروح مرتبط بالـ MHC + +361 +00:31:39,370 --> 00:31:42,670 +Molecule وإذا صار فيه ارتباط بالـ MHC Molecule برضه + +362 +00:31:42,670 --> 00:31:46,690 +نفس الحكاية بيصير فيه اللي هو Treg activation + +363 +00:31:46,690 --> 00:31:51,200 +و يتم عملية الـ Treg activation من خلال إفراز + +364 +00:31:51,200 --> 00:31:53,420 +Inhibitory cytokine اللي هي IL-10 + +365 +00:31:53,420 --> 00:32:00,380 +و Transforming Growth Factor Beta Oral Tolerance كان الـ + +366 +00:32:00,380 --> 00:32:03,260 +Oral Tolerance يعني الأكل اللي بناكله مليئ + +367 +00:32:03,260 --> 00:32:06,500 +بالأنتيجينات ليش ما بيصير له إيش Immune + +368 +00:32:06,500 --> 00:32:10,860 +response؟ وهذا يحدث في الـ Tolerance و بيسموه الـ + +369 +00:32:10,860 --> 00:32:15,400 +Tolerance هذا Oral Tolerance ماشي and it's defined + +370 +00:32:15,400 --> 00:32:18,600 +as the lack of humoral or cell-mediated immune + +371 +00:32:18,600 --> 00:32:25,180 +responses لمين to the ingested food antigen دي يجب + +372 +00:32:25,180 --> 00:32:30,180 +يكون بهذا العمل يتخيله T cell and the mechanism + +373 +00:32:30,180 --> 00:32:34,520 +for maintaining it بيعتمد على الـ ingested antigen + +374 +00:32:38,170 --> 00:32:42,230 +قالوا إنّ الـ ingested antigen إما بيكون Luminal أو + +375 +00:32:42,230 --> 00:32:46,070 +Mucosal، الـ Luminal Antigen بنشط T Helper 3، + +376 +00:32:46,070 --> 00:32:52,650 +suppressor T cell، بينما الهايدوز انتجن induce T + +377 +00:32:52,650 --> 00:32:54,250 +cell anergy or deletion + +378 +00:32:57,230 --> 00:33:05,570 +التولينات الاجتماعية ايضا هي اولا انشئت عندما + +379 +00:33:05,570 --> 00:33:10,950 +يصل الانتجن للـ gut + +380 +00:33:10,950 --> 00:33:13,990 +-associated lymphoid tissue بيصير فيه oral + +381 +00:33:13,990 --> 00:33:19,410 +tolerance دي بتتكسل بتاخد الانتجين بتعمله + +382 +00:33:19,410 --> 00:33:28,050 +processing و بتقدمه لل T cell زي ما قولنا T cell + +383 +00:33:28,050 --> 00:33:32,610 +اما بتفرس T البرتلاتة او اما بيسلها deletion او + +384 +00:33:32,610 --> 00:33:35,250 +أبوبتوسس + +385 +00:33:36,510 --> 00:33:40,810 +ميكانيزم آخر يوم يكون فيه large dose للانتجين يقول + +386 +00:33:40,810 --> 00:33:46,450 +ان بعض الانتجين المشروع انتجت + +387 +00:33:46,450 --> 00:33:47,150 + +388 +00:33:47,150 --> 00:33:47,790 + +389 +00:33:47,790 --> 00:33:49,230 + +390 +00:33:49,230 --> 00:33:53,050 + + +391 +00:33:53,050 --> 00:33:53,110 + + +392 +00:33:53,110 --> 00:34:03,090 +ان + +393 +00:34:04,470 --> 00:34:09,630 +is induced locally في المطرح شو بيصير؟ يتكوّن الـ + +394 +00:34:09,630 --> 00:34:14,270 +gut cytokine وين في الـ gut associated lymphoid + +395 +00:34:14,270 --> 00:34:18,130 +tissue و بتكون آية الأربعة، آية التن أو a + +396 +00:34:18,130 --> 00:34:23,210 +transforming growth factor ميتا وهذا بعمل + +397 +00:34:23,210 --> 00:34:26,230 +differentiation + +398 +00:34:26,230 --> 00:34:30,830 +to teleport two و تيلور تلاتة لكن بعمل انهيبش إلى + +399 +00:34:30,830 --> 00:34:34,520 +teleport one التي البرتلاتة زي ما قلنا بديت + +400 +00:34:34,520 --> 00:34:37,220 +suppression من خلال تكوين Transforming Growth + +401 +00:34:37,220 --> 00:34:41,620 +Factor Beta و Triggering T البرتلاتة is antigen + +402 +00:34:41,620 --> 00:34:45,560 +specific بس their suppression is antigen non + +403 +00:34:45,560 --> 00:34:54,020 +specific لما أصير suppression بصير فيهش للكل ال + +404 +00:34:54,020 --> 00:34:59,420 +Immune Privilege كانوا في بعض المناطق في الجسم not + +405 +00:34:59,420 --> 00:35:04,560 +developed immune response اما لـ pathogen او tumour + +406 +00:35:04,560 --> 00:35:10,020 +cell او حتى لتشيو ترانسبلانت + +407 +00:35:10,020 --> 00:35:11,040 + + +408 +00:35:11,040 --> 00:35:15,460 + + +409 +00:35:15,460 --> 00:35:17,960 + + +410 +00:35:17,960 --> 00:35:24,980 + + +411 +00:35:24,980 --> 00:35:28,380 + + +412 +00:35:28,380 --> 00:35:37,770 +تماشي in the eye مابعملوش matching + +413 +00:35:37,770 --> 00:35:43,850 +tissue matching مش مبلوض ماشي اي حتى مابعته + +414 +00:35:43,850 --> 00:35:50,130 +immunosuppressive therapy immunosuppressive + +415 +00:35:50,130 --> 00:35:54,880 +cytokine والـ Expression of Fas ligand بيلعبوا دور + +416 +00:35:54,880 --> 00:36:03,080 +كبير في ال establishing ال immune privileged sites + +417 +00:36:03,080 --> 00:36:09,640 +ال reaction of Fas ligand مع الفاس على سطح الانتيسل + +418 +00:36:09,640 --> 00:36:14,800 +بيؤدى الابوبتوسيت هنا ال retinal pigment + +419 +00:36:14,800 --> 00:36:19,560 +epithelial cell and corneal epithelial cell ايضا + +420 +00:36:19,560 --> 00:36:24,380 +ما بيعملوا expression لـ have been observed to + +421 +00:36:24,380 --> 00:36:28,600 +express Fas ligand and to induce apoptosis of + +422 +00:36:28,600 --> 00:36:33,120 +inflammatory T cell, أيضًا they express Fas ligand + +423 +00:36:33,120 --> 00:36:41,260 +.وبهيك بنكون أن هنا المحاضرة أرجو أن تكونوا قد + +424 +00:36:41,260 --> 00:36:43,480 +استفدتم منها diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/bQ2_MdNhsWA_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/bQ2_MdNhsWA_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..0806024285c4f1ad0686322adcf26b846c69d985 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/bQ2_MdNhsWA_postprocess.srt @@ -0,0 +1,1696 @@ +1 +00:00:00,420 --> 00:00:04,760 +بسم الله الرحمن الرحيم والصلاة والسلام علي سيد + +2 +00:00:04,760 --> 00:00:09,560 +الخلق الأجمعي نلتقى اليوم في محاضرة جديدة بعنوان + +3 +00:00:09,560 --> 00:00:13,700 +tolerance واكتشاف + +4 +00:00:13,700 --> 00:00:17,800 +هذه العملية بدت + +5 +00:00:17,800 --> 00:00:26,610 +في 1945 يوم ما Ray Owensبين ان الدايزا يبقى كتل + +6 +00:00:26,610 --> 00:00:33,510 +توانز اللي share the same or common vascular + +7 +00:00:33,510 --> 00:00:40,120 +system يعني اللي هم نفس الاشالبلاسنتا كانت متعارفه + +8 +00:00:40,120 --> 00:00:46,420 +من بعضها البعض من بعضها البعض من بعضها البعض من + +9 +00:00:46,420 --> 00:00:47,620 +بعضها البعض من بعضها البعض من بعضها البعض من بعضها + +10 +00:00:47,620 --> 00:00:48,100 +البعض من بعضها البعض من بعضها البعض من بعضها البعض + +11 +00:00:48,100 --> 00:00:48,840 +من بعضها البعض من بعضها البعض من بعضها البعض من + +12 +00:00:48,840 --> 00:00:52,160 +البعض من بعضها البعض من + +13 +00:00:52,160 --> 00:00:59,740 +بعضها البعض من بعضها البعض + +14 +00:00:59,740 --> 00:01:01,640 +من + +15 +00:01:13,470 --> 00:01:21,850 +الـ Peter Medwar و شركاه ايضا اظهر على انه Adult + +16 +00:01:21,850 --> 00:01:22,390 +mice + +17 +00:01:27,280 --> 00:01:35,240 +على اللي هو الـ Neonatal Mice لأ أنا مدور حكى على + +18 +00:01:35,240 --> 00:01:40,980 +ال Adult Mice من Strain معينة Strain A و لا جاب + +19 +00:01:40,980 --> 00:01:45,840 +بعمل rejection ل skin graft from Strain B ليش؟ + +20 +00:01:45,840 --> 00:01:49,020 +لأنه both they have different expression of MSC + +21 +00:01:49,020 --> 00:01:54,360 +molecule كل واحد له MSC molecule الخاص بهم بينما + +22 +00:01:55,790 --> 00:02:02,190 +إذا قمنا بإستجابة ميزة من أسطرين A في + +23 +00:02:02,190 --> 00:02:10,730 +أول 24 ساعة من الولادة من أسطرين B ، فلن يقوموا + +24 +00:02:10,730 --> 00:02:20,970 +بإستجابة Skin graft من أسطرين Bحتى بعد ما يكبر + +25 +00:02:20,970 --> 00:02:26,190 +يعني even when they grow to adulthood بيسموا هذه + +26 +00:02:26,190 --> 00:02:36,170 +الظاهرة neonatal tolerance neonatal tolerance ال + +27 +00:02:36,170 --> 00:02:40,290 +basis of neonatal tolerance بيعتمد على ان ال + +28 +00:02:40,290 --> 00:02:46,110 +recipient ماعيشor mouse would become chimeric شو + +29 +00:02:46,110 --> 00:02:50,370 +يعني chimeric يعني بيحتوي على two pool of two + +30 +00:02:50,370 --> 00:02:55,830 +population of cell cells ال cells تبعته والcell + +31 +00:02:55,830 --> 00:03:01,910 +اللي أخدناها وعطيناها ليها during اللي هو new + +32 +00:03:01,910 --> 00:03:08,610 +natal life بيحتوي على cells from genetically + +33 +00:03:08,610 --> 00:03:14,140 +different individual موجودة وين في جسمهطبعا هذه + +34 +00:03:14,140 --> 00:03:17,720 +الخلايا ممكن تكون T-cell انتجين presenting cell + +35 +00:03:17,720 --> 00:03:20,600 +انتجين presenting cell انتجين presenting cell + +36 +00:03:20,600 --> 00:03:20,980 +انتجين presenting cell انتجين presenting cell + +37 +00:03:20,980 --> 00:03:22,200 +انتجين presenting cell انتجين presenting cell + +38 +00:03:22,200 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +39 +00:03:24,880 --> 00:03:25,180 +انتجين presenting cell انتجين presenting cell + +40 +00:03:25,180 --> 00:03:25,200 +انتجين presenting cell انتجين presenting cell + +41 +00:03:25,200 --> 00:03:26,020 +انتجين presenting cell انتجين presenting cell + +42 +00:03:26,020 --> 00:03:34,500 +انتجين presenting cell انتجين + +43 +00:03:34,500 --> 00:03:35,160 +presenting + +44 +00:03:37,820 --> 00:03:43,200 +بسبب تطبيق T-cell في هذه الحيوانات سيكون نقاطًا + +45 +00:03:43,200 --> 00:03:45,720 +نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا + +46 +00:03:45,720 --> 00:03:49,260 +نقاط + +47 +00:03:49,260 --> 00:03:53,660 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +48 +00:03:53,660 --> 00:03:54,000 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +49 +00:03:54,000 --> 00:03:55,120 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +50 +00:03:55,120 --> 00:03:59,840 +نقاط نقاط نقاط + +51 +00:03:59,840 --> 00:04:05,270 +نقفي التدريب التاني يقول بصير في أولاني في + +52 +00:04:05,270 --> 00:04:07,790 +الأولاني positive selection في التاني في negative + +53 +00:04:07,790 --> 00:04:11,150 +selection و negative selection يعني ان احنا بنعرض + +54 +00:04:11,150 --> 00:04:17,590 +عليها ال antigen self-antigen لكن لا تتعامل مع او + +55 +00:04:17,590 --> 00:04:27,750 +do not يعني bind with it central + +56 +00:04:27,750 --> 00:04:31,180 +toleranceيعني الـ Tolerance هو مصطلح انتجن بشكل + +57 +00:04:31,180 --> 00:04:32,760 +مستقل للعيون بشكل مستقل للعيون بشكل مستقل للعيون + +58 +00:04:32,760 --> 00:04:33,580 +بشكل مستقل للعيون بشكل مستقل للعيون بشكل مستقل + +59 +00:04:33,580 --> 00:04:35,820 +للعيون بشكل مستقل للعيون بشكل مستقل للعيون بشكل + +60 +00:04:35,820 --> 00:04:36,380 +مستقل للعيون بشكل مستقل للعيون بشكل مستقل للعيون + +61 +00:04:36,380 --> 00:04:40,900 +بشكل مستقل للعيون بشكل مستقل للعيون بشكل مستقل + +62 +00:04:40,900 --> 00:04:46,600 +للعيون بشكل مستقل للعيون بشكل مستقل للعيون بشكل + +63 +00:04:46,600 --> 00:04:54,580 +مستقل للعيون بشكل مستقل للعيون بشكل مستقل للع + +64 +00:04:56,950 --> 00:05:14,570 +يقومون بتنشيط الخلية + +65 +00:05:14,570 --> 00:05:19,770 +أو يقومون بتنشيط الخلية + +66 +00:05:28,050 --> 00:05:34,070 +أو انه يصبح غير نشط بمعنى انه يصبح غير غير نشط + +67 +00:05:34,070 --> 00:05:39,750 +only cells with antigen specific receptor تبعي جدا + +68 +00:05:39,750 --> 00:05:44,940 +احنا في هذه الحالة ما بنعملتوليرانس لكل الخلايا + +69 +00:05:44,940 --> 00:05:49,400 +وانما الخلية التي هي specific for self-antigen او + +70 +00:05:49,400 --> 00:05:52,800 +الانتجن اللي احنا دخلناها اللي هي اللي بيصير + +71 +00:05:52,800 --> 00:05:58,300 +tolerized يبقى specific tolerance induced during + +72 +00:05:58,300 --> 00:06:02,680 +the early stage of lymphocyte development بيسموه + +73 +00:06:02,680 --> 00:06:06,220 +central tolerance بينما ال tolerance اللي بيصير in + +74 +00:06:06,220 --> 00:06:09,940 +mature lymphocyte بيسموه peripheral tolerance يعني + +75 +00:06:09,940 --> 00:06:14,120 +واحدة بيصيرهذا هو الـ Central Tolerance يحدث في + +76 +00:06:14,120 --> 00:06:16,820 +الـ Primary Lymphoid Organs والتانية الـ + +77 +00:06:16,820 --> 00:06:19,920 +Peripheral Tolerance تظهر خارج الـ In Vitro الـ + +78 +00:06:19,920 --> 00:06:26,180 +Secondary Over Blood كيف + +79 +00:06:26,180 --> 00:06:31,480 +يحدث التولرانس؟ يوجد أكتر من ميكانيزم نمرا واحد + +80 +00:06:31,480 --> 00:06:36,480 +Energy نمرا اتنين Receptor Editing نمرا تلاتة + +81 +00:06:36,480 --> 00:06:40,300 +Deletion نمرا أربع Clonal Ignorance + +82 +00:06:42,770 --> 00:06:47,670 +ماشي ونشوف واحدة واحدة طبعا زي ما انتوا شايفين هذا + +83 +00:06:47,670 --> 00:06:54,950 +ال figure بتوضع ذلك يومها بيلمفوسايته + +84 +00:06:54,950 --> 00:07:03,850 +دي على سطحها PCR ماشي تقدملها ال antigen من خلية + +85 +00:07:03,850 --> 00:07:08,250 +اللي هو self-bound antigen ماشي + +86 +00:07:09,820 --> 00:07:14,440 +يعني خلية دنتريتك سيل او اي سيل ماسكة self-antigen + +87 +00:07:14,440 --> 00:07:19,120 +تقدمت من صادفة بي لينفوسايت على سطح بي سي ار او + +88 +00:07:19,120 --> 00:07:24,260 +حتى ال self-antigen as a soluble antigen ارتقى + +89 +00:07:24,260 --> 00:07:29,320 +بالبي لينفوسايت ماشي و لجأ خلية على سطح بي سي ار + +90 +00:07:29,320 --> 00:07:33,960 +which is specific to that antigenاللي هو مين اللي + +91 +00:07:33,960 --> 00:07:38,800 +هو ال auto antigen شو بيحصل في الخلية هذه يعني + +92 +00:07:38,800 --> 00:07:43,040 +بيحصل واحد من تلات احتمالات الاحتمال الاولاني انه + +93 +00:07:43,040 --> 00:07:49,400 +يحصل في انيارجين يعني inactivation للخلية الاحتمال + +94 +00:07:49,400 --> 00:07:54,700 +التاني انه يحصل deletion by apoptosisلكن قبل ما + +95 +00:07:54,700 --> 00:07:58,180 +يحصل هذا بيحصل فيه احتمال تالت اللي هو هذا اللي + +96 +00:07:58,180 --> 00:08:01,240 +بيسموه Receptor Editing الان حد يعرفش يعني + +97 +00:08:01,240 --> 00:08:07,280 +Receptor Editing بمعنى ان هي بتغير بتعيد طباعة ال + +98 +00:08:07,280 --> 00:08:15,200 +PCR اللي على سطحها ال + +99 +00:08:15,200 --> 00:08:23,780 +energy كلنا ال energy ببساطة هي عبارة عنfunctional + +100 +00:08:23,780 --> 00:08:28,740 +inactivation of cells بتبطل الخلية تشتغل بتبطل + +101 +00:08:28,740 --> 00:08:32,960 +الخلية has function وهذا بيأدى الى non + +102 +00:08:32,960 --> 00:08:37,520 +responsiveness upon contact with self antigen + +103 +00:08:37,520 --> 00:08:42,160 +طبيعى جدا الخلية لا تستجيب ولا تحدث immune + +104 +00:08:42,160 --> 00:08:45,560 +response طبعا فى دل الحالة ال B lymphocyte cannot + +105 +00:08:45,560 --> 00:08:49,120 +differentiate into antibody secreting cellوالـ T + +106 +00:08:49,120 --> 00:08:51,620 +lymphocyte do not proliferate and unable to + +107 +00:08:51,620 --> 00:08:55,000 +produce cytokine خلاص بيحصل فيه unresponsiveness + +108 +00:08:55,000 --> 00:08:59,960 +ال B cell specific لل T dependent antigen بيدها + +109 +00:08:59,960 --> 00:09:04,100 +two signal عشان تتنشط واحدة بيوفرها ال antigen + +110 +00:09:04,100 --> 00:09:11,440 +والتانية بتاخدها من ال T cell في غياب ال second + +111 +00:09:11,440 --> 00:09:16,720 +signal ال B lymphocyte would not response يعني + +112 +00:09:16,720 --> 00:09:18,080 +بيصير unresponsive + +113 +00:09:20,450 --> 00:09:26,990 +السيجنال الثاني يتم إعطائه بواسطة الـ CD4T لجند + +114 +00:09:26,990 --> 00:09:30,830 +الموجود على الـ T-Lymphocyte بخلال ارتباطه بالـ + +115 +00:09:30,830 --> 00:09:38,630 +CD4T الموجود على سطح الـ T-Lymphocyte T-cell أيضًا + +116 +00:09:38,630 --> 00:09:42,050 +يتطلبون اتصالين واثنين لكي يتم إعطائها واحدة + +117 +00:09:42,050 --> 00:09:46,350 +بوفرها الـ MSC-Beptide Complex والتانية + +118 +00:09:47,840 --> 00:09:51,480 +من خلال التعامل مع كوستيوميلاتريا ميليكيول بسبب + +119 +00:09:51,480 --> 00:09:56,480 +الـ B7 الموجود على الانتجم الذاتية والـ CD28 + +120 +00:09:56,480 --> 00:10:04,240 +الموجود على سطح الـ T الميفوسايتس الـ delivery of + +121 +00:10:04,240 --> 00:10:07,760 +the first signal ممكن تؤدي إلى transcriptional + +122 +00:10:07,760 --> 00:10:14,540 +factor زي اللي + +123 +00:10:14,540 --> 00:10:19,300 +بيرتبط من ال promoter region of IL2طبعا هذا بيقدي + +124 +00:10:19,300 --> 00:10:24,040 +الى transcription of vial 2 الا اذا كان ال first + +125 +00:10:24,040 --> 00:10:27,980 +signal اللي هي الأمشي بتاعت ال complex + +126 +00:10:48,210 --> 00:10:59,610 +الخلية لا تستطيع تكوين الـ IL-2-cytokineوالتالي لا + +127 +00:10:59,610 --> 00:11:06,130 +يوجد اكتفاش وهذا المظهر يورجنا ايه هو ال two + +128 +00:11:06,130 --> 00:11:14,370 +signal هذه الأولانية MHC bind انتجن مرتبط بال TCR + +129 +00:11:14,370 --> 00:11:24,290 +او ال BCRN والتانية CD40 40-ligand interaction صار + +130 +00:11:24,290 --> 00:11:29,740 +في بيسل اكتفاش وصار في antibody secretionبينما هنا + +131 +00:11:29,740 --> 00:11:35,600 +صار فيه ارتباط ما بين الانتجر لكن مافيه second + +132 +00:11:35,600 --> 00:11:39,800 +signal اللي هي CD40 40 legend interaction وبالتالي + +133 +00:11:39,800 --> 00:11:48,820 +الخدية صارت لا صار انيرجية نفس + +134 +00:11:48,820 --> 00:11:55,080 +الحكاية ده هي دنتر تكسلقدمت لـ T lymphocytes من + +135 +00:11:55,080 --> 00:11:58,640 +خلال MSC Class II موليكيول الانتجين اتصار فيه فرش + +136 +00:11:58,640 --> 00:12:06,540 +Signal و هي CD28 مع B7 قدت ال Second Signal اتنشطت + +137 +00:12:06,540 --> 00:12:11,660 +الـ T lymphocyte وكوّلت aisle 2 cytokine وبالتالي + +138 +00:12:11,660 --> 00:12:18,930 +صلّها ال activation فييوم يكون الـ T-Lymphocytes + +139 +00:12:18,930 --> 00:12:22,490 +يوم ترتبط بالـ Antigen ويحصل فيه الـ First Signal + +140 +00:12:22,490 --> 00:12:26,050 +لكن الـ Second Signal مفقود، معناته تبتسل + +141 +00:12:26,050 --> 00:12:31,330 +Energized الـ + +142 +00:12:31,330 --> 00:12:36,450 +Receptor Editing يقول بأنه الـ T-Lymphocytes تعيد + +143 +00:12:36,450 --> 00:12:39,870 +تصفية + +144 +00:12:39,870 --> 00:12:44,130 +الجينة المسؤولة عن الـ Light Chain Variable Gene + +145 +00:12:44,130 --> 00:12:53,590 +Segmentبعد ما اتكونت الـ VG Unit وبتختار + +146 +00:12:53,590 --> 00:13:00,630 +Unarranged Element على سبيل المثال V1G5 بدل اللي + +147 +00:13:00,630 --> 00:13:07,150 +already اترتب سابقا وبتعمل Secondary Arrangement + +148 +00:13:07,150 --> 00:13:12,820 +وبالتالي ال diversity بتزيدوبيسموها عملية نسخ + +149 +00:13:12,820 --> 00:13:18,200 +جديدة للريسبتور للريسبتور وبالتالي صار في ريسبتور + +150 +00:13:18,200 --> 00:13:23,900 +specificity جديدة وطبعا في هذه الحالة ممكن تكون + +151 +00:13:23,900 --> 00:13:28,640 +الريسبتور اللي طلع is not specific like auto + +152 +00:13:28,640 --> 00:13:33,500 +reactivity is not specific to auto antigen + +153 +00:13:35,630 --> 00:13:40,410 +هل يبدأ بإعادة على السريع و لا إذا كان طلع PCR على + +154 +00:13:40,410 --> 00:13:44,250 +سطح الـ B-cell which is specific for autoantigen + +155 +00:13:44,250 --> 00:13:48,970 +على طول الـ B-lymphocyte بتعمل editing، شو يعني؟ + +156 +00:13:48,970 --> 00:13:52,430 +بتروح وهي عادة تصفيت الجينات المسؤولة عن ال + +157 +00:13:52,430 --> 00:13:57,330 +variable gene variable segment تبعت ال lighted + +158 +00:13:57,330 --> 00:13:57,550 +chain + +159 +00:14:00,860 --> 00:14:05,420 +كذا تجهز تصفيتها وتعمل تصفيتها جديدة على سبيل + +160 +00:14:05,420 --> 00:14:11,200 +المثال تختار أي نوع تاني V1 V5 V1 V5 V1 V1 V1 V1 + +161 +00:14:11,200 --> 00:14:12,120 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +162 +00:14:12,120 --> 00:14:14,100 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +163 +00:14:14,100 --> 00:14:14,160 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +164 +00:14:14,160 --> 00:14:15,400 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +165 +00:14:28,230 --> 00:14:33,150 +بالعكس من الـ Vα لوكاس Vα لوكاس Vα لوكاس Vا لوكاس + +166 +00:14:33,150 --> 00:14:37,430 +Vا لوكاس Vا لوكاس Vا لوكاس + +167 +00:14:37,430 --> 00:14:38,290 +Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا + +168 +00:14:38,290 --> 00:14:42,330 +لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس + +169 +00:14:42,330 --> 00:14:42,430 +Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا + +170 +00:14:42,430 --> 00:14:42,690 +لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس + +171 +00:14:42,690 --> 00:14:47,910 +Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا + +172 +00:14:47,910 --> 00:14:52,750 +لوكاس Vا لوكاس + +173 +00:14:58,760 --> 00:15:01,620 +يوم ما تتعرض لـ Negative Selection Negative + +174 +00:15:01,620 --> 00:15:05,200 +Selection طبعا الاحتمال في هذه الحالة انه يصير + +175 +00:15:05,200 --> 00:15:08,840 +Apoptosis لكن ايضا الاحتمال انه يصير Receptor + +176 +00:15:08,840 --> 00:15:13,460 +Editing Deletion + +177 +00:15:13,460 --> 00:15:18,060 +Autoreactive B-cell and T-cell are eliminated + +178 +00:15:18,060 --> 00:15:24,920 +Apoptosis is the basic mechanism وبصير + +179 +00:15:26,990 --> 00:15:32,350 +في الـ negative selection وطبعا هذا الكلام بيصير + +180 +00:15:32,350 --> 00:15:35,530 +في ال primary lymphoid organs في الthymus لل T + +181 +00:15:35,530 --> 00:15:40,810 +lymphocyte و ال bone marrow لل B lymphocyte في ال + +182 +00:15:40,810 --> 00:15:45,950 +thymus ال double positive T lymphocyte اللي بتثبت + +183 +00:15:45,950 --> 00:15:52,330 +بhigh affinity with antigen plus MHC molecule in + +184 +00:15:52,330 --> 00:15:59,470 +the thymus have been undergoneRapid Deletion وطبعا + +185 +00:15:59,470 --> 00:16:03,450 +ما يحصل في الـ T-Lymphocyte يحصل للـ B-Lymphocytes + +186 +00:16:03,450 --> 00:16:07,270 +لكن بيحصل في الـ Bone marrow الـ B-Lymphocyte في + +187 +00:16:07,270 --> 00:16:10,310 +الـ Bone marrow و T-Lymphocyte في الـ Thymus + +188 +00:16:10,310 --> 00:16:18,950 +Criminal Ignorance انتجن دخل لكن مافي استجابة لهذا + +189 +00:16:18,950 --> 00:16:25,430 +الانتجن شو الدعوة؟ قالوا والله الانتجن بيكون اما + +190 +00:16:25,430 --> 00:16:34,510 +قليلوإما الخلية على سطح الـ Receptor لديها أفينيتي + +191 +00:16:34,510 --> 00:16:39,490 +عالية لـ Antigen لذلك لا يحدث ارتباط يعني الـ + +192 +00:16:39,490 --> 00:16:46,910 +Antigen و الخلية الفاعلة يكونوا موجودين وهذا بشكل + +193 +00:16:46,910 --> 00:16:52,330 +خطر كبير في الجسم في أي لحظة ممكن تتنشط هذه الخلية + +194 +00:16:52,330 --> 00:17:00,740 +وتعمل autoimmune diseaseوبالتالي وجودها خطر وجودها + +195 +00:17:00,740 --> 00:17:08,920 +خطر و .. if the B cell with low affinity for self + +196 +00:17:08,920 --> 00:17:14,080 +antigen undergone undergo sematic mutation و بدت و + +197 +00:17:14,080 --> 00:17:17,200 +اتحولت ل high affinity اللي هو affinity تبعتها + +198 +00:17:17,200 --> 00:17:21,020 +صارت high affinity to self antigen ممكن تتمشر + +199 +00:17:21,020 --> 00:17:30,220 +بسهولةوتفس الكلام ينطبق على الـT-lymphocyte which + +200 +00:17:30,220 --> 00:17:33,460 +can also be activated if the concentration of self + +201 +00:17:33,460 --> 00:17:39,580 +-peptide is increased يجاها وجود الـantigen المهمل + +202 +00:17:39,580 --> 00:17:45,540 +اللي ignored antigen وقلنا مهمل لأنه either it has + +203 +00:17:45,540 --> 00:17:52,060 +low concentration orالرسيبتور على السلسلة المشغولة + +204 +00:17:52,060 --> 00:17:56,040 +لديها افينيتي قصيرة لتعامل مع ذلك الانتجن فبالتالي + +205 +00:17:56,040 --> 00:18:00,340 +بيحصل فيه اكتشاف لهذا الانتجن لكن قلنا في اي لحظة + +206 +00:18:00,340 --> 00:18:04,120 +من اللحظات ممكن يزيد ال concentration of انتجن و + +207 +00:18:04,120 --> 00:18:08,680 +اما يزيد ال affinity of الرسيبتور ويحصل على اوتو + +208 +00:18:08,680 --> 00:18:09,200 +اميون + +209 +00:18:11,730 --> 00:18:14,730 +الـ Peripheral Tolerance طبعاً الكلام اللي قلناه + +210 +00:18:14,730 --> 00:18:17,370 +هذا طوي كنا بنحكي على الـ Central Tolerance وين + +211 +00:18:17,370 --> 00:18:21,090 +بيصير في ال primary lymphoid organs وين في ال bone + +212 +00:18:21,090 --> 00:18:24,130 +marrow and thymus بالنسبالي الـ B وT الينفوسايت + +213 +00:18:24,130 --> 00:18:26,770 +قلنا الـ Peripheral Tolerance بيصير in the + +214 +00:18:26,770 --> 00:18:33,650 +periphery خلايا هربت من ال primary lymphoid organs + +215 +00:18:33,650 --> 00:18:38,970 +as autoreactive cell ماشي و نزلت على ال periphery + +216 +00:18:38,970 --> 00:18:43,530 +لكن في ال peripheryThis will undergo somatic + +217 +00:18:43,530 --> 00:18:47,850 +mutation in the periphery ومرّات ال mutation بتؤدي + +218 +00:18:47,850 --> 00:18:53,950 +إلى auto reactive specificity فشو اللي بيصير؟ + +219 +00:18:53,950 --> 00:18:58,690 +بيصيرها peripheral tolerance وبالتالي ال + +220 +00:18:58,690 --> 00:19:03,810 +peripheral tolerance بشكل يعني شبكة + +221 +00:19:10,390 --> 00:19:15,630 +اللي شردت من البريفرال + +222 +00:19:15,630 --> 00:19:22,430 +الانفويدي الأولي على البريفري عاشر ميكانيزمات اللي + +223 +00:19:22,430 --> 00:19:27,490 +بتعمل البرفلر تجنس جاله إما energy وإما deletion + +224 +00:19:27,490 --> 00:19:32,800 +وإما activation induced cell deathوInduction of + +225 +00:19:32,800 --> 00:19:37,940 +Regulatory T Cell وT + +226 +00:19:37,940 --> 00:19:43,500 +Cell Energy بيعتبر هو الـ Major Mechanism for + +227 +00:19:43,500 --> 00:19:49,240 +Induction of Unresponsiveness States للـ Self + +228 +00:19:49,240 --> 00:19:51,680 +Antigen في البريفيري + +229 +00:19:54,500 --> 00:19:58,640 +نقطة تانية كمان خلايا جاية من البنكريا اسم ال + +230 +00:19:58,640 --> 00:20:02,540 +kidney من ال liver و بعض الأعضاء الأخرى do not + +231 +00:20:02,540 --> 00:20:06,640 +express co-stimulatory موليكيولو وبالتالي ال + +232 +00:20:06,640 --> 00:20:11,640 +أنتجين presented by these cell are likely induce + +233 +00:20:11,640 --> 00:20:16,460 +energy مدى مافيش second signal اللي هو ال co + +234 +00:20:16,460 --> 00:20:22,800 +-stimulatory signal بلده برضه فيه energyT-cells + +235 +00:20:22,800 --> 00:20:28,360 +encountered antigen in the periphery لكن يعني مسكت + +236 +00:20:28,360 --> 00:20:33,680 +بالانتجن في البريفري لكن مافيش T-cell اتزودها بال + +237 +00:20:33,680 --> 00:20:38,960 +second signal ايضا will undergo energy deletion + +238 +00:20:38,960 --> 00:20:45,680 +also occur in the periphery طبعا ال deletion بتتم + +239 +00:20:45,680 --> 00:20:51,060 +من خلال الفاس فاس legend interactionوالـ Fas مدينة + +240 +00:20:51,060 --> 00:20:56,520 +أبوبتوسيد من خلال اللي هو الـ ligation of Fas + +241 +00:20:56,520 --> 00:21:00,540 +ligand بعد .. طبعا مصير فيه removal of the mature + +242 +00:21:00,540 --> 00:21:04,300 +autoreactive B-lymphocytes بعد الارتباط بين الفاس + +243 +00:21:04,300 --> 00:21:07,740 +و الفاس ليجند الفاس بحيث ذاته عبارة عن monomer + +244 +00:21:07,740 --> 00:21:12,360 +expressed + +245 +00:21:12,360 --> 00:21:18,540 +by activated lymphocytes وهو عبارة عن عضو فيhuman + +246 +00:21:18,540 --> 00:21:24,300 +cross factor family receptor ارتباط الفاس بالفاس + +247 +00:21:24,300 --> 00:21:29,460 +لجنت بينقل + +248 +00:21:29,460 --> 00:21:36,840 +اشارة اسمها apoptic signal للخلية اللي على سطح + +249 +00:21:36,840 --> 00:21:42,770 +الفاسوطبعا فاز ليجند يتم إدراك بشكل عام بشكل عام + +250 +00:21:42,770 --> 00:21:43,990 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +251 +00:21:43,990 --> 00:21:46,230 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +252 +00:21:46,230 --> 00:21:48,310 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +253 +00:21:48,310 --> 00:21:50,670 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +254 +00:21:50,670 --> 00:21:51,870 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +255 +00:21:51,870 --> 00:21:52,210 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +256 +00:21:52,210 --> 00:22:02,270 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +257 +00:22:02,270 --> 00:22:04,790 +عام ب + +258 +00:22:09,280 --> 00:22:15,660 +في الـ FAD حيث انتشرت بـ Death Domain of several + +259 +00:22:15,660 --> 00:22:21,500 +cytosolic adaptor proteins أشهرها هو الـ FAD اللي + +260 +00:22:21,500 --> 00:22:27,580 +هو الـ FAD Associated Death Domain وطبعاً متى ما + +261 +00:22:27,580 --> 00:22:33,200 +صار الارتباط بيصير فيه تكوين لمجموعة من الـ + +262 +00:22:33,200 --> 00:22:38,710 +cysteine بروتييز بيسموها ك Spaces Enzymeوهذا بتؤدي + +263 +00:22:38,710 --> 00:22:46,870 +الى aboptosis of cell الناس اللي ما عندهمش طبعا + +264 +00:22:46,870 --> 00:22:51,350 +فاز ممكن يصير عندهم auto lymph proliferative + +265 +00:22:51,350 --> 00:22:55,090 +syndrome والفاز فاز legend + +266 +00:22:57,910 --> 00:23:03,430 +التي تخلصنا من الـ T-Lymphocytes في البريفيري. It + +267 +00:23:03,430 --> 00:23:07,190 +also may be involved in mediating negative + +268 +00:23:07,190 --> 00:23:10,450 +selection في الـThymus. كمان نفس الحكاية ممكن + +269 +00:23:10,450 --> 00:23:13,710 +تصير، نفس الميكانيزم هذا اللي بيصير في البريفيري + +270 +00:23:13,710 --> 00:23:19,600 +ممكن تصير في الـThymus. Energized B-Lymphocytesهي + +271 +00:23:19,600 --> 00:23:23,760 +مستحيلة أيضًا لـ Fas-mediated apoptosis يعني + +272 +00:23:23,760 --> 00:23:27,000 +الميكانيزم هذا اللي بيصير في الـ T-Lymphocyte ممكن + +273 +00:23:27,000 --> 00:23:32,580 +يصير في الـ B-Lymphocyte وهذا + +274 +00:23:32,580 --> 00:23:38,140 +هو الميكانيزم شايفين الـ Fas اللي هو عبارة عن CD + +275 +00:23:38,140 --> 00:23:41,220 +95 + +276 +00:23:41,220 --> 00:23:50,190 +It has death domain يوم ما يرتبط الـ Fas-ligandهذا + +277 +00:23:50,190 --> 00:23:59,670 +هو الفاز اللي كان بالفاد شو بيصير قالوا الفاز الـ + +278 +00:23:59,670 --> 00:24:05,190 +domain will be activated وطبعا هي الـ primaries + +279 +00:24:05,190 --> 00:24:10,870 +will be activated و بيكون kasabase-8 اللي بنشط + +280 +00:24:10,870 --> 00:24:17,210 +kasabase-3 و ال kasabase-3 بعمل DNA fragmentation + +281 +00:24:17,210 --> 00:24:22,580 +وبالتالي تخليها بسلحة أوبتوسسبتعمل عملية تنشيط + +282 +00:24:22,580 --> 00:24:27,860 +Casase enzyme من خلال ارتباط الفاس بالفاس لجند أو + +283 +00:24:27,860 --> 00:24:32,440 +بالفاد اللى ماسك بالفاس لجند وبالتالي بيتكون + +284 +00:24:32,440 --> 00:24:38,000 +Casase 8 اللى بنشط Casase 3 أمر عن سلسلة من ال + +285 +00:24:38,000 --> 00:24:42,760 +Casase اللى بيعمل ال DNA Fragmentation of Cell + +286 +00:24:42,760 --> 00:24:48,720 +خلّيها باسم Apoptic Cell + +287 +00:24:52,370 --> 00:24:55,370 +regulatory or suppressor T cell يبدأ شوفنا ال + +288 +00:24:55,370 --> 00:24:59,790 +deletion شوفنا ال ال receptor editing وشوفنا ال + +289 +00:24:59,790 --> 00:25:05,110 +energy كمان بيصير في حال تكوين ل regulatory T + +290 +00:25:05,110 --> 00:25:09,810 +lymphocytes بسموها suppressor T cell وهي طبعا هذه + +291 +00:25:09,810 --> 00:25:15,230 +عبارة عن CD4 T cell اللي بتعمل عندها القدرة to + +292 +00:25:15,230 --> 00:25:22,680 +down regulate T cell functionبسموها تي ريج تي ريج + +293 +00:25:22,680 --> 00:25:28,250 +express CD 25وهي عبارة عن IL-2 ريسيبتور Alpha + +294 +00:25:28,250 --> 00:25:36,690 +Chain CD4-CD25 Subresource Cell بتشكل حوالي 10% من + +295 +00:25:36,690 --> 00:25:44,010 +الـ CD4 Positive Cell الميس اللي ما عنده CD4 + +296 +00:25:44,010 --> 00:25:48,230 +Positive CD25 Positive T Subresource Cell بيعمل + +297 +00:25:48,230 --> 00:25:51,570 +Autoimmune Disease زي Thyroiditis, Gastritis, + +298 +00:25:51,710 --> 00:25:58,010 +Insulitis, AngiomarynephritisوT suppressor cell + +299 +00:25:58,010 --> 00:26:04,130 +suppress graft versus host disease induced by CD4 + +300 +00:26:04,130 --> 00:26:10,990 +positive CD25 negative T lymphocytes هي أيضا T + +301 +00:26:10,990 --> 00:26:15,370 +suppressor cell اللي بتعمل تثبيت لجرافت versus + +302 +00:26:15,370 --> 00:26:23,910 +host disease rejection CD4 positive 25 positive T + +303 +00:26:23,910 --> 00:26:29,480 +suppressor cellقالوا إما Produce + +304 +00:26:29,480 --> 00:26:37,760 +either low or very low level of IL-2 لكن معظمهم + +305 +00:26:37,760 --> 00:26:41,360 +Produced + +306 +00:26:41,360 --> 00:26:44,280 +immunosuppressive drug اللي هو Transforming Growth + +307 +00:26:44,280 --> 00:26:45,000 +Factor Beta + +308 +00:26:51,850 --> 00:26:56,490 +يعني هي مابت بتكون IL-2 ريسبتور وهذا عبارة عن T + +309 +00:26:56,490 --> 00:27:01,070 +cell activator وبالتالي او بتكونه بكمية قليلة جدا + +310 +00:27:01,070 --> 00:27:05,470 +لكن ال cytokine الأساسي اللي يتكون هو transforming + +311 +00:27:05,470 --> 00:27:10,050 +growth factor بيتا وهذا inhibitory cytokine من + +312 +00:27:10,050 --> 00:27:14,640 +الحاجات المهمة كمان انهThey also express chemokine + +313 +00:27:14,640 --> 00:27:24,480 +receptor 48 ودولهم من يؤدوا الى كيموتاكتك cytokine + +314 +00:27:24,480 --> 00:27:29,700 +او chemokine بيؤدوا الى ال migration of cells to + +315 +00:27:29,700 --> 00:27:35,460 +inflamed organ او بيروحوا على ال lymph nodes ساحة + +316 +00:27:35,460 --> 00:27:40,640 +المعركة كيف بيعملوا ال suppression؟ قالوا they + +317 +00:27:40,640 --> 00:27:45,930 +induce suppressionمن خلال الـ cell to cell contact + +318 +00:27:45,930 --> 00:27:50,510 +لازم هو يحصل فيه cell to cell contact ومتى ما صار + +319 +00:27:50,510 --> 00:27:53,210 +فيه content ي inhibit ال proliferation and + +320 +00:27:53,210 --> 00:27:58,630 +activation لإما CD4 أو CD8 cell وبالتالي يمنعه + +321 +00:27:58,630 --> 00:28:04,870 +اللي هو ال transcription of IL-2 في هذه الخلايا + +322 +00:28:04,870 --> 00:28:10,960 +ومتى ما صار مافيش IL-2 مافيش activationفي نوعين + +323 +00:28:10,960 --> 00:28:18,200 +تمين من الـ CD4 T-lymphocyte that have suppressive + +324 +00:28:18,200 --> 00:28:23,480 +activity have been identified واحدة بيسموها TR1 + +325 +00:28:23,480 --> 00:28:28,500 +والتانية بيسموها T-Helper 3 لأن TR1 بتطلع + +326 +00:28:28,500 --> 00:28:32,860 +inhibitory cytokine زي IL-10-transforming growth + +327 +00:28:32,860 --> 00:28:42,930 +factor beta و it has noأو قليل من الـ IL-2 و IL-4 + +328 +00:28:42,930 --> 00:28:46,710 +و الـCytokine يعني اللي بتنتجه هم عبارة عن + +329 +00:28:46,710 --> 00:28:51,910 +Inhibitory Cytokine بيقولوا + +330 +00:28:51,910 --> 00:28:59,950 +انه اتفضل ان الانتجام 80% و 86% على سطح الانتجام + +331 +00:28:59,950 --> 00:29:05,630 +presenting cell مع ال CTLA-4 اللي هو ريسبتور على + +332 +00:29:05,630 --> 00:29:14,020 +ال T Ringبيؤدي إلىCostimulatory Signal لكنها + +333 +00:29:14,020 --> 00:29:18,240 +Inhibitory Signal مش Stimulatory Signal وبالتالي + +334 +00:29:18,240 --> 00:29:21,280 +بيصير فيه Suppressive يوم بيوم ما الـ + +335 +00:29:21,280 --> 00:29:25,680 +Costimulation يصير بس من خلال الأرتباط بـ CTLA4 + +336 +00:29:25,680 --> 00:29:30,500 +بدل CD28 بيصير فيه إيش Inhibitory Signal وبالتالي + +337 +00:29:30,500 --> 00:29:35,300 +بيصير فيه Suppressive ل الخلايا ميكانيزم تاني أيضا + +338 +00:29:35,300 --> 00:29:39,200 +بيعمل Suppression وهو الـ Lymphocyte Activation + +339 +00:29:39,200 --> 00:29:45,780 +Gene 3اللي هو Lag ثلاثة يوم ما يرتبط Lag ثلاثة بال + +340 +00:29:45,780 --> 00:29:50,860 +MHC Class II موليكيول اللي ماسك الانتجن بيصير فيه + +341 +00:29:50,860 --> 00:29:58,200 +activation ل Treg وبالتالي Inhibition of T cell + +342 +00:29:58,200 --> 00:30:03,620 +activation Ileton Transforming Growth Factor Beta + +343 +00:30:03,620 --> 00:30:07,520 +مطلوبين for activation of Treg suppression + +344 +00:30:07,520 --> 00:30:14,530 +تيربرتلاتةأيضًا وجدوها لكن وجدوها شغلها الأساسي في + +345 +00:30:14,530 --> 00:30:18,490 +الـ Oral Tolerance ووجدوا أنها بتنتج + +346 +00:30:18,490 --> 00:30:20,790 +Transformation of the Birth Factor Beta يعني + +347 +00:30:20,790 --> 00:30:26,130 +انهيبش لـCytokine ومن خلال هذا الـCytokine بيصير + +348 +00:30:26,130 --> 00:30:33,030 +في انهيبش وهذا الميكانزم of over suppression هي + +349 +00:30:33,030 --> 00:30:40,220 +تيريج كيف اشتغلت تيريج ليه CD24 و CD25هذا هو + +350 +00:30:40,220 --> 00:30:43,580 +الارتباط + +351 +00:30:43,580 --> 00:30:48,720 +الأول MHC مع + +352 +00:30:48,720 --> 00:30:53,100 +TCR MHC ده جاي من Antigen Presenting Cell ماسكة + +353 +00:30:53,100 --> 00:30:58,430 +Antigen قدمته لهاالـ T-cell اللي هو T-rig أتت + +354 +00:30:58,430 --> 00:31:04,010 +ترتبط تعمل cost stimulation بس من خلال ايه؟ CD + +355 +00:31:04,010 --> 00:31:09,830 +ارتباط اللي هو CDA T86 اللي هم بي سبن مع CTLA4 + +356 +00:31:09,830 --> 00:31:15,390 +وقلنا هذا بيعمل inhibitory signal وبالتالي there + +357 +00:31:15,390 --> 00:31:21,290 +is no aisle to cytokine production وبالتالي مافيش + +358 +00:31:21,290 --> 00:31:26,070 +activationأو شو بيعمل هدوء طبعا هدوء صار في اكتئام + +359 +00:31:26,070 --> 00:31:34,630 +انهي بيشيل للخلية او انه لاج تلاتة gene lymphocyte + +360 +00:31:34,630 --> 00:31:39,370 +activating gene رقم تلاتة بيروحه مرتبط بال MHC + +361 +00:31:39,370 --> 00:31:42,670 +موليكيول وإذا صار فيه ارتباط بال MHC موليكيول برضه + +362 +00:31:42,670 --> 00:31:46,690 +نفس الحكاية بيصير فيه اللي هو Treg activation + +363 +00:31:46,690 --> 00:31:51,200 +وبيتم عملية ال Treg activation من خلالأفراز + +364 +00:31:51,200 --> 00:31:53,420 +Inhibitory cytokine اللي هي IL-10 + +365 +00:31:53,420 --> 00:32:00,380 +وترانسفورمينكروفاكتور بيتا oral tolerance كان ال + +366 +00:32:00,380 --> 00:32:03,260 +oral tolerance يعني الأكل اللي بناكله مليئ + +367 +00:32:03,260 --> 00:32:06,500 +بالأنتيجنات ليش ما بيصيرلوش إيه إيش immune + +368 +00:32:06,500 --> 00:32:10,860 +response؟وهذا يحدث في الـ Tolerance وبيسموه الـ + +369 +00:32:10,860 --> 00:32:15,400 +Tolerance هذا Oral Tolerance ماشي and it's defined + +370 +00:32:15,400 --> 00:32:18,600 +as the lack of humoral or cell-mediated immune + +371 +00:32:18,600 --> 00:32:25,180 +responses لمين to the ingested food antigen دي يجب + +372 +00:32:25,180 --> 00:32:30,180 +يكون بهذا العمل يتخيله T cell and the mechanism + +373 +00:32:30,180 --> 00:32:34,520 +for maintaining it بيعتمد على ال ingested antigen + +374 +00:32:38,170 --> 00:32:42,230 +قالوا ان الانجستد انتجن اما بيكون بلودوز او + +375 +00:32:42,230 --> 00:32:46,070 +هايدوز، اللودوز انتجن بنشط تهيلبرتلاتة، + +376 +00:32:46,070 --> 00:32:52,650 +suppressor، T cell، بينما الهايدوز انتجن induce T + +377 +00:32:52,650 --> 00:32:54,250 +cell energy or deletion + +378 +00:32:57,230 --> 00:33:05,570 +التولينات الاجتماعية ايضا هي اولا انشئت عندما + +379 +00:33:05,570 --> 00:33:10,950 +يصل الانتجن الاجتماعي الاجتماعي الاجتماعيالـ gut + +380 +00:33:10,950 --> 00:33:13,990 +-associated lymphoid tissue بيصير فيه oral + +381 +00:33:13,990 --> 00:33:19,410 +tolerance دي بتتكسل بتاخد الانتجين بتعمله + +382 +00:33:19,410 --> 00:33:28,050 +processing و بتقدمه لل T cell زي ما قولنا T cell + +383 +00:33:28,050 --> 00:33:32,610 +اما بتفرس T البرتلاتة او اما بيسلها deletion او + +384 +00:33:32,610 --> 00:33:35,250 +أبوبتوسس + +385 +00:33:36,510 --> 00:33:40,810 +ميكانيزم آخر يوم يكون فيه large dose للانتجين يقول + +386 +00:33:40,810 --> 00:33:46,450 +ان بعض الانتجين المشروع انتجت انتجت انتجت انتجت + +387 +00:33:46,450 --> 00:33:47,150 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +388 +00:33:47,150 --> 00:33:47,790 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +389 +00:33:47,790 --> 00:33:49,230 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +390 +00:33:49,230 --> 00:33:53,050 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +391 +00:33:53,050 --> 00:33:53,110 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +392 +00:33:53,110 --> 00:34:03,090 +انتجت انتجت انتجت ان + +393 +00:34:04,470 --> 00:34:09,630 +is induced locally في المطرح شو بيصير؟ يتكوّن الـ + +394 +00:34:09,630 --> 00:34:14,270 +gut cytokine وين في الـ gut associated lymphoid + +395 +00:34:14,270 --> 00:34:18,130 +tissue و بتكون آية الأربعة، آية التن أو a + +396 +00:34:18,130 --> 00:34:23,210 +transforming growth factor ميتا وهذا بعمل + +397 +00:34:23,210 --> 00:34:26,230 +differentiation + +398 +00:34:26,230 --> 00:34:30,830 +to teleport two و تيلور تلاتة لكن بعمل انهيبش إلى + +399 +00:34:30,830 --> 00:34:34,520 +teleport oneالتي البرتلاتة زي ما قلنا بديت + +400 +00:34:34,520 --> 00:34:37,220 +suppression من خلال تكوين Transforming Birth + +401 +00:34:37,220 --> 00:34:41,620 +Factor Beta و Triggering T البرتلاتة is antigen + +402 +00:34:41,620 --> 00:34:45,560 +specific بس their suppression is antigen non + +403 +00:34:45,560 --> 00:34:54,020 +specific لما أصير suppression بصير فيهش للكل ال + +404 +00:34:54,020 --> 00:34:59,420 +Immune Privilege كانوا في بعض المناطق في الجسم not + +405 +00:34:59,420 --> 00:35:04,560 +developed immune responseاما لـ pathogen او tumour + +406 +00:35:04,560 --> 00:35:10,020 +cell او حتى لتشيو ترانسبلانت تشيو تشيو تشيو تشيو + +407 +00:35:10,020 --> 00:35:11,040 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +408 +00:35:11,040 --> 00:35:15,460 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +409 +00:35:15,460 --> 00:35:17,960 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +410 +00:35:17,960 --> 00:35:24,980 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +411 +00:35:24,980 --> 00:35:28,380 +تشيو تشيو + +412 +00:35:28,380 --> 00:35:37,770 +تشيو تشيو تشيو تماشي in the eye مابعملوش matching + +413 +00:35:37,770 --> 00:35:43,850 +tissue matching مش مبلوض ماشي اي حتى مابعته + +414 +00:35:43,850 --> 00:35:50,130 +immunosuppressive therapy immunosuppressive + +415 +00:35:50,130 --> 00:35:54,880 +cytokineوالـ Expression of Fasligand بيلعبوا دور + +416 +00:35:54,880 --> 00:36:03,080 +كبير في ال establishing ال immune privileged sites + +417 +00:36:03,080 --> 00:36:09,640 +ال reaction of Fasligand مع الفاس على سطح الانتيسل + +418 +00:36:09,640 --> 00:36:14,800 +بيؤدى الابوبتوسيت هنا ال retinal pigment + +419 +00:36:14,800 --> 00:36:19,560 +epithelial cell and corneal epithelial cell ايضا + +420 +00:36:19,560 --> 00:36:24,380 +ما بيعملوا expression لI've been observed to + +421 +00:36:24,380 --> 00:36:28,600 +express Fasligand and to induce apoptosis of + +422 +00:36:28,600 --> 00:36:33,120 +inflammatory T cell, أيضًا they express Fasligand + +423 +00:36:33,120 --> 00:36:41,260 +.وبهيك بنكون أن هنا المحاضرة أرجو أن تكونوا قد + +424 +00:36:41,260 --> 00:36:43,480 +استفدتم منها + diff --git 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contact with self antigen طبيعى جدا الخلية لا تستجيب ولا تحدث immune response طبعا فى دل الحالة ال B lymphocyte cannot differentiate into antibody secreting cell", "tokens": [69, 32627, 304, 294, 23397, 399, 295, 5438, 39894, 3555, 9566, 1211, 33962, 1211, 10632, 6055, 8592, 2655, 17082, 1211, 39894, 3555, 9566, 1211, 33962, 1211, 10632, 575, 2445, 37037, 15730, 4724, 1829, 10721, 3215, 7578, 2423, 7578, 2107, 2914, 8477, 3564, 3385, 365, 2698, 2511, 3213, 23032, 21292, 3615, 7578, 10874, 28259, 33962, 1211, 10632, 20193, 6055, 14851, 7435, 1829, 3555, 49429, 6055, 24401, 12984, 11992, 4134, 23032, 3555, 3615, 995, 6156, 7578, 11778, 1211, 21542, 6027, 3660, 2423, 363, 31070, 31078, 975, 2644, 23203, 666, 34507, 34432, 783, 2815], "avg_logprob": -0.21297554736552032, "compression_ratio": 1.547008547008547, "no_speech_prob": 5.364418029785156e-07, "words": [{"start": 502.78, "end": 503.78, "word": "functional", "probability": 0.6602783203125}, {"start": 503.78, "end": 504.52, "word": " 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It also may be involved in mediating negative selection في الـThymus. كمان نفس الحكاية ممكن تصير، نفس الميكانيزم هذا اللي بيصير في البريفيري ممكن تصير في الـThymus. 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+00:00:17,800 --> 00:00:26,610 +في 1945 يوم ما Ray Owensبين ان الدايزا يبقى كتل + +6 +00:00:26,610 --> 00:00:33,510 +توانز اللي share the same or common vascular + +7 +00:00:33,510 --> 00:00:40,120 +system يعني اللي هم نفس الاشالبلاسنتا كانت متعارفه + +8 +00:00:40,120 --> 00:00:46,420 +من بعضها البعض من بعضها البعض من بعضها البعض من + +9 +00:00:46,420 --> 00:00:47,620 +بعضها البعض من بعضها البعض من بعضها البعض من بعضها + +10 +00:00:47,620 --> 00:00:48,100 +البعض من بعضها البعض من بعضها البعض من بعضها البعض + +11 +00:00:48,100 --> 00:00:48,840 +من بعضها البعض من بعضها البعض من بعضها البعض من + +12 +00:00:48,840 --> 00:00:48,840 +بعضها البعض من بعضها البعض من بعضها البعض من بعضها + +13 +00:00:48,840 --> 00:00:48,840 +البعض من بعضها البعض من بعضها البعض من بعضها البعض + +14 +00:00:48,840 --> 00:00:48,840 +من بعضها البعض من بعضها البعض من بعضها البعض من + +15 +00:00:48,840 --> 00:00:48,840 +بعضها البعض من بعضها البعض من بعضها البعض من بعضها + +16 +00:00:48,840 --> 00:00:52,160 +البعض من بعضها البعض من + +17 +00:00:52,160 --> 00:00:59,740 +بعضها البعض من بعضها البعض + +18 +00:00:59,740 --> 00:01:01,640 +من + +19 +00:01:13,470 --> 00:01:21,850 +الـ Peter Medwar و شركاه ايضا اظهر على انه Adult + +20 +00:01:21,850 --> 00:01:22,390 +mice + +21 +00:01:27,280 --> 00:01:35,240 +على اللي هو الـ Neonatal Mice لأ أنا مدور حكى على + +22 +00:01:35,240 --> 00:01:40,980 +ال Adult Mice من Strain معينة Strain A و لا جاب + +23 +00:01:40,980 --> 00:01:45,840 +بعمل rejection ل skin graft from Strain B ليش؟ + +24 +00:01:45,840 --> 00:01:49,020 +لأنه both they have different expression of MSC + +25 +00:01:49,020 --> 00:01:54,360 +molecule كل واحد له MSC molecule الخاص بهم بينما + +26 +00:01:55,790 --> 00:02:02,190 +إذا قمنا بإستجابة ميزة من أسطرين A في + +27 +00:02:02,190 --> 00:02:10,730 +أول 24 ساعة من الولادة من أسطرين B ، فلن يقوموا + +28 +00:02:10,730 --> 00:02:20,970 +بإستجابة Skin graft من أسطرين Bحتى بعد ما يكبر + +29 +00:02:20,970 --> 00:02:26,190 +يعني even when they grow to adulthood بيسموا هذه + +30 +00:02:26,190 --> 00:02:36,170 +الظاهرة neonatal tolerance neonatal tolerance ال + +31 +00:02:36,170 --> 00:02:40,290 +basis of neonatal tolerance بيعتمد على ان ال + +32 +00:02:40,290 --> 00:02:46,110 +recipient ماعيشor mouse would become chimeric شو + +33 +00:02:46,110 --> 00:02:50,370 +يعني chimeric يعني بيحتوي على two pool of two + +34 +00:02:50,370 --> 00:02:55,830 +population of cell cells ال cells تبعته والcell + +35 +00:02:55,830 --> 00:03:01,910 +اللي أخدناها وعطيناها ليها during اللي هو new + +36 +00:03:01,910 --> 00:03:08,610 +natal life بيحتوي على cells from genetically + +37 +00:03:08,610 --> 00:03:14,140 +different individual موجودة وين في جسمهطبعا هذه + +38 +00:03:14,140 --> 00:03:17,720 +الخلايا ممكن تكون T-cell انتجين presenting cell + +39 +00:03:17,720 --> 00:03:20,600 +انتجين presenting cell انتجين presenting cell + +40 +00:03:20,600 --> 00:03:20,980 +انتجين presenting cell انتجين presenting cell + +41 +00:03:20,980 --> 00:03:22,200 +انتجين presenting cell انتجين presenting cell + +42 +00:03:22,200 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +43 +00:03:24,880 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +44 +00:03:24,880 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +45 +00:03:24,880 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +46 +00:03:24,880 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +47 +00:03:24,880 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +48 +00:03:24,880 --> 00:03:24,880 +انتجين presenting cell انتجين presenting cell + +49 +00:03:24,880 --> 00:03:25,180 +انتجين presenting cell انتجين presenting cell + +50 +00:03:25,180 --> 00:03:25,180 +انتجين presenting cell انتجين presenting cell + +51 +00:03:25,180 --> 00:03:25,180 +انتجين presenting cell انتجين presenting cell + +52 +00:03:25,180 --> 00:03:25,200 +انتجين presenting cell انتجين presenting cell + +53 +00:03:25,200 --> 00:03:25,200 +انتجين presenting cell انتجين presenting cell + +54 +00:03:25,200 --> 00:03:26,020 +انتجين presenting cell انتجين presenting cell + +55 +00:03:26,020 --> 00:03:34,500 +انتجين presenting cell انتجين + +56 +00:03:34,500 --> 00:03:35,160 +presenting + +57 +00:03:37,820 --> 00:03:43,200 +بسبب تطبيق T-cell في هذه الحيوانات سيكون نقاطًا + +58 +00:03:43,200 --> 00:03:45,720 +نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا نقاطًا + +59 +00:03:45,720 --> 00:03:49,260 +نقاط + +60 +00:03:49,260 --> 00:03:53,660 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +61 +00:03:53,660 --> 00:03:54,000 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +62 +00:03:54,000 --> 00:03:55,120 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +63 +00:03:55,120 --> 00:03:55,120 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +64 +00:03:55,120 --> 00:03:55,120 +نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط نقاط + +65 +00:03:55,120 --> 00:03:59,840 +نقاط نقاط نقاط + +66 +00:03:59,840 --> 00:04:05,270 +نقفي التدريب التاني يقول بصير في أولاني في + +67 +00:04:05,270 --> 00:04:07,790 +الأولاني positive selection في التاني في negative + +68 +00:04:07,790 --> 00:04:11,150 +selection و negative selection يعني ان احنا بنعرض + +69 +00:04:11,150 --> 00:04:17,590 +عليها ال antigen self-antigen لكن لا تتعامل مع او + +70 +00:04:17,590 --> 00:04:27,750 +do not يعني bind with it central + +71 +00:04:27,750 --> 00:04:31,180 +toleranceيعني الـ Tolerance هو مصطلح انتجن بشكل + +72 +00:04:31,180 --> 00:04:32,760 +مستقل للعيون بشكل مستقل للعيون بشكل مستقل للعيون + +73 +00:04:32,760 --> 00:04:33,580 +بشكل مستقل للعيون بشكل مستقل للعيون بشكل مستقل + +74 +00:04:33,580 --> 00:04:35,820 +للعيون بشكل مستقل للعيون بشكل مستقل للعيون بشكل + +75 +00:04:35,820 --> 00:04:36,380 +مستقل للعيون بشكل مستقل للعيون بشكل مستقل للعيون + +76 +00:04:36,380 --> 00:04:40,900 +بشكل مستقل للعيون بشكل مستقل للعيون بشكل مستقل + +77 +00:04:40,900 --> 00:04:46,600 +للعيون بشكل مستقل للعيون بشكل مستقل للعيون بشكل + +78 +00:04:46,600 --> 00:04:54,580 +مستقل للعيون بشكل مستقل للعيون بشكل مستقل للع + +79 +00:04:56,950 --> 00:05:14,570 +يقومون بتنشيط الخلية + +80 +00:05:14,570 --> 00:05:19,770 +أو يقومون بتنشيط الخلية + +81 +00:05:28,050 --> 00:05:34,070 +أو انه يصبح غير نشط بمعنى انه يصبح غير غير نشط + +82 +00:05:34,070 --> 00:05:39,750 +only cells with antigen specific receptor تبعي جدا + +83 +00:05:39,750 --> 00:05:44,940 +احنا في هذه الحالة ما بنعملتوليرانس لكل الخلايا + +84 +00:05:44,940 --> 00:05:49,400 +وانما الخلية التي هي specific for self-antigen او + +85 +00:05:49,400 --> 00:05:52,800 +الانتجن اللي احنا دخلناها اللي هي اللي بيصير + +86 +00:05:52,800 --> 00:05:58,300 +tolerized يبقى specific tolerance induced during + +87 +00:05:58,300 --> 00:06:02,680 +the early stage of lymphocyte development بيسموه + +88 +00:06:02,680 --> 00:06:06,220 +central tolerance بينما ال tolerance اللي بيصير in + +89 +00:06:06,220 --> 00:06:09,940 +mature lymphocyte بيسموه peripheral tolerance يعني + +90 +00:06:09,940 --> 00:06:14,120 +واحدة بيصيرهذا هو الـ Central Tolerance يحدث في + +91 +00:06:14,120 --> 00:06:16,820 +الـ Primary Lymphoid Organs والتانية الـ + +92 +00:06:16,820 --> 00:06:19,920 +Peripheral Tolerance تظهر خارج الـ In Vitro الـ + +93 +00:06:19,920 --> 00:06:26,180 +Secondary Over Blood كيف + +94 +00:06:26,180 --> 00:06:31,480 +يحدث التولرانس؟ يوجد أكتر من ميكانيزم نمرا واحد + +95 +00:06:31,480 --> 00:06:36,480 +Energy نمرا اتنين Receptor Editing نمرا تلاتة + +96 +00:06:36,480 --> 00:06:40,300 +Deletion نمرا أربع Clonal Ignorance + +97 +00:06:42,770 --> 00:06:47,670 +ماشي ونشوف واحدة واحدة طبعا زي ما انتوا شايفين هذا + +98 +00:06:47,670 --> 00:06:54,950 +ال figure بتوضع ذلك يومها بيلمفوسايته + +99 +00:06:54,950 --> 00:07:03,850 +دي على سطحها PCR ماشي تقدملها ال antigen من خلية + +100 +00:07:03,850 --> 00:07:08,250 +اللي هو self-bound antigen ماشي + +101 +00:07:09,820 --> 00:07:14,440 +يعني خلية دنتريتك سيل او اي سيل ماسكة self-antigen + +102 +00:07:14,440 --> 00:07:19,120 +تقدمت من صادفة بي لينفوسايت على سطح بي سي ار او + +103 +00:07:19,120 --> 00:07:24,260 +حتى ال self-antigen as a soluble antigen ارتقى + +104 +00:07:24,260 --> 00:07:29,320 +بالبي لينفوسايت ماشي و لجأ خلية على سطح بي سي ار + +105 +00:07:29,320 --> 00:07:33,960 +which is specific to that antigenاللي هو مين اللي + +106 +00:07:33,960 --> 00:07:38,800 +هو ال auto antigen شو بيحصل في الخلية هذه يعني + +107 +00:07:38,800 --> 00:07:43,040 +بيحصل واحد من تلات احتمالات الاحتمال الاولاني انه + +108 +00:07:43,040 --> 00:07:49,400 +يحصل في انيارجين يعني inactivation للخلية الاحتمال + +109 +00:07:49,400 --> 00:07:54,700 +التاني انه يحصل deletion by apoptosisلكن قبل ما + +110 +00:07:54,700 --> 00:07:58,180 +يحصل هذا بيحصل فيه احتمال تالت اللي هو هذا اللي + +111 +00:07:58,180 --> 00:08:01,240 +بيسموه Receptor Editing الان حد يعرفش يعني + +112 +00:08:01,240 --> 00:08:07,280 +Receptor Editing بمعنى ان هي بتغير بتعيد طباعة ال + +113 +00:08:07,280 --> 00:08:15,200 +PCR اللي على سطحها ال + +114 +00:08:15,200 --> 00:08:23,780 +energy كلنا ال energy ببساطة هي عبارة عنfunctional + +115 +00:08:23,780 --> 00:08:28,740 +inactivation of cells بتبطل الخلية تشتغل بتبطل + +116 +00:08:28,740 --> 00:08:32,960 +الخلية has function وهذا بيأدى الى non + +117 +00:08:32,960 --> 00:08:37,520 +responsiveness upon contact with self antigen + +118 +00:08:37,520 --> 00:08:42,160 +طبيعى جدا الخلية لا تستجيب ولا تحدث immune + +119 +00:08:42,160 --> 00:08:45,560 +response طبعا فى دل الحالة ال B lymphocyte cannot + +120 +00:08:45,560 --> 00:08:49,120 +differentiate into antibody secreting cellوالـ T + +121 +00:08:49,120 --> 00:08:51,620 +lymphocyte do not proliferate and unable to + +122 +00:08:51,620 --> 00:08:55,000 +produce cytokine خلاص بيحصل فيه unresponsiveness + +123 +00:08:55,000 --> 00:08:59,960 +ال B cell specific لل T dependent antigen بيدها + +124 +00:08:59,960 --> 00:09:04,100 +two signal عشان تتنشط واحدة بيوفرها ال antigen + +125 +00:09:04,100 --> 00:09:11,440 +والتانية بتاخدها من ال T cell في غياب ال second + +126 +00:09:11,440 --> 00:09:16,720 +signal ال B lymphocyte would not response يعني + +127 +00:09:16,720 --> 00:09:18,080 +بيصير unresponsive + +128 +00:09:20,450 --> 00:09:26,990 +السيجنال الثاني يتم إعطائه بواسطة الـ CD4T لجند + +129 +00:09:26,990 --> 00:09:30,830 +الموجود على الـ T-Lymphocyte بخلال ارتباطه بالـ + +130 +00:09:30,830 --> 00:09:38,630 +CD4T الموجود على سطح الـ T-Lymphocyte T-cell أيضًا + +131 +00:09:38,630 --> 00:09:42,050 +يتطلبون اتصالين واثنين لكي يتم إعطائها واحدة + +132 +00:09:42,050 --> 00:09:46,350 +بوفرها الـ MSC-Beptide Complex والتانية + +133 +00:09:47,840 --> 00:09:51,480 +من خلال التعامل مع كوستيوميلاتريا ميليكيول بسبب + +134 +00:09:51,480 --> 00:09:56,480 +الـ B7 الموجود على الانتجم الذاتية والـ CD28 + +135 +00:09:56,480 --> 00:10:04,240 +الموجود على سطح الـ T الميفوسايتس الـ delivery of + +136 +00:10:04,240 --> 00:10:07,760 +the first signal ممكن تؤدي إلى transcriptional + +137 +00:10:07,760 --> 00:10:14,540 +factor زي اللي + +138 +00:10:14,540 --> 00:10:19,300 +بيرتبط من ال promoter region of IL2طبعا هذا بيقدي + +139 +00:10:19,300 --> 00:10:24,040 +الى transcription of vial 2 الا اذا كان ال first + +140 +00:10:24,040 --> 00:10:27,980 +signal اللي هي الأمشي بتاعت ال complex + +141 +00:10:48,210 --> 00:10:59,610 +الخلية لا تستطيع تكوين الـ IL-2-cytokineوالتالي لا + +142 +00:10:59,610 --> 00:11:06,130 +يوجد اكتفاش وهذا المظهر يورجنا ايه هو ال two + +143 +00:11:06,130 --> 00:11:14,370 +signal هذه الأولانية MHC bind انتجن مرتبط بال TCR + +144 +00:11:14,370 --> 00:11:24,290 +او ال BCRN والتانية CD40 40-ligand interaction صار + +145 +00:11:24,290 --> 00:11:29,740 +في بيسل اكتفاش وصار في antibody secretionبينما هنا + +146 +00:11:29,740 --> 00:11:35,600 +صار فيه ارتباط ما بين الانتجر لكن مافيه second + +147 +00:11:35,600 --> 00:11:39,800 +signal اللي هي CD40 40 legend interaction وبالتالي + +148 +00:11:39,800 --> 00:11:48,820 +الخدية صارت لا صار انيرجية نفس + +149 +00:11:48,820 --> 00:11:55,080 +الحكاية ده هي دنتر تكسلقدمت لـ T lymphocytes من + +150 +00:11:55,080 --> 00:11:58,640 +خلال MSC Class II موليكيول الانتجين اتصار فيه فرش + +151 +00:11:58,640 --> 00:12:06,540 +Signal و هي CD28 مع B7 قدت ال Second Signal اتنشطت + +152 +00:12:06,540 --> 00:12:11,660 +الـ T lymphocyte وكوّلت aisle 2 cytokine وبالتالي + +153 +00:12:11,660 --> 00:12:18,930 +صلّها ال activation فييوم يكون الـ T-Lymphocytes + +154 +00:12:18,930 --> 00:12:22,490 +يوم ترتبط بالـ Antigen ويحصل فيه الـ First Signal + +155 +00:12:22,490 --> 00:12:26,050 +لكن الـ Second Signal مفقود، معناته تبتسل + +156 +00:12:26,050 --> 00:12:31,330 +Energized الـ + +157 +00:12:31,330 --> 00:12:36,450 +Receptor Editing يقول بأنه الـ T-Lymphocytes تعيد + +158 +00:12:36,450 --> 00:12:39,870 +تصفية + +159 +00:12:39,870 --> 00:12:44,130 +الجينة المسؤولة عن الـ Light Chain Variable Gene + +160 +00:12:44,130 --> 00:12:53,590 +Segmentبعد ما اتكونت الـ VG Unit وبتختار + +161 +00:12:53,590 --> 00:13:00,630 +Unarranged Element على سبيل المثال V1G5 بدل اللي + +162 +00:13:00,630 --> 00:13:07,150 +already اترتب سابقا وبتعمل Secondary Arrangement + +163 +00:13:07,150 --> 00:13:12,820 +وبالتالي ال diversity بتزيدوبيسموها عملية نسخ + +164 +00:13:12,820 --> 00:13:18,200 +جديدة للريسبتور للريسبتور وبالتالي صار في ريسبتور + +165 +00:13:18,200 --> 00:13:23,900 +specificity جديدة وطبعا في هذه الحالة ممكن تكون + +166 +00:13:23,900 --> 00:13:28,640 +الريسبتور اللي طلع is not specific like auto + +167 +00:13:28,640 --> 00:13:33,500 +reactivity is not specific to auto antigen + +168 +00:13:35,630 --> 00:13:40,410 +هل يبدأ بإعادة على السريع و لا إذا كان طلع PCR على + +169 +00:13:40,410 --> 00:13:44,250 +سطح الـ B-cell which is specific for autoantigen + +170 +00:13:44,250 --> 00:13:48,970 +على طول الـ B-lymphocyte بتعمل editing، شو يعني؟ + +171 +00:13:48,970 --> 00:13:52,430 +بتروح وهي عادة تصفيت الجينات المسؤولة عن ال + +172 +00:13:52,430 --> 00:13:57,330 +variable gene variable segment تبعت ال lighted + +173 +00:13:57,330 --> 00:13:57,550 +chain + +174 +00:14:00,860 --> 00:14:05,420 +كذا تجهز تصفيتها وتعمل تصفيتها جديدة على سبيل + +175 +00:14:05,420 --> 00:14:11,200 +المثال تختار أي نوع تاني V1 V5 V1 V5 V1 V1 V1 V1 + +176 +00:14:11,200 --> 00:14:12,120 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +177 +00:14:12,120 --> 00:14:14,100 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +178 +00:14:14,100 --> 00:14:14,160 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +179 +00:14:14,160 --> 00:14:15,400 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +180 +00:14:15,400 --> 00:14:15,400 +V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 V1 + +181 +00:14:28,230 --> 00:14:33,150 +بالعكس من الـ Vα لوكاس Vα لوكاس Vα لوكاس Vا لوكاس + +182 +00:14:33,150 --> 00:14:37,430 +Vا لوكاس Vا لوكاس Vا لوكاس + +183 +00:14:37,430 --> 00:14:38,290 +Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا + +184 +00:14:38,290 --> 00:14:42,330 +لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس + +185 +00:14:42,330 --> 00:14:42,430 +Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا + +186 +00:14:42,430 --> 00:14:42,690 +لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس + +187 +00:14:42,690 --> 00:14:47,910 +Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا لوكاس Vا + +188 +00:14:47,910 --> 00:14:52,750 +لوكاس Vا لوكاس + +189 +00:14:58,760 --> 00:15:01,620 +يوم ما تتعرض لـ Negative Selection Negative + +190 +00:15:01,620 --> 00:15:05,200 +Selection طبعا الاحتمال في هذه الحالة انه يصير + +191 +00:15:05,200 --> 00:15:08,840 +Apoptosis لكن ايضا الاحتمال انه يصير Receptor + +192 +00:15:08,840 --> 00:15:13,460 +Editing Deletion + +193 +00:15:13,460 --> 00:15:18,060 +Autoreactive B-cell and T-cell are eliminated + +194 +00:15:18,060 --> 00:15:24,920 +Apoptosis is the basic mechanism وبصير + +195 +00:15:26,990 --> 00:15:32,350 +في الـ negative selection وطبعا هذا الكلام بيصير + +196 +00:15:32,350 --> 00:15:35,530 +في ال primary lymphoid organs في الthymus لل T + +197 +00:15:35,530 --> 00:15:40,810 +lymphocyte و ال bone marrow لل B lymphocyte في ال + +198 +00:15:40,810 --> 00:15:45,950 +thymus ال double positive T lymphocyte اللي بتثبت + +199 +00:15:45,950 --> 00:15:52,330 +بhigh affinity with antigen plus MHC molecule in + +200 +00:15:52,330 --> 00:15:59,470 +the thymus have been undergoneRapid Deletion وطبعا + +201 +00:15:59,470 --> 00:16:03,450 +ما يحصل في الـ T-Lymphocyte يحصل للـ B-Lymphocytes + +202 +00:16:03,450 --> 00:16:07,270 +لكن بيحصل في الـ Bone marrow الـ B-Lymphocyte في + +203 +00:16:07,270 --> 00:16:10,310 +الـ Bone marrow و T-Lymphocyte في الـ Thymus + +204 +00:16:10,310 --> 00:16:18,950 +Criminal Ignorance انتجن دخل لكن مافي استجابة لهذا + +205 +00:16:18,950 --> 00:16:25,430 +الانتجن شو الدعوة؟ قالوا والله الانتجن بيكون اما + +206 +00:16:25,430 --> 00:16:34,510 +قليلوإما الخلية على سطح الـ Receptor لديها أفينيتي + +207 +00:16:34,510 --> 00:16:39,490 +عالية لـ Antigen لذلك لا يحدث ارتباط يعني الـ + +208 +00:16:39,490 --> 00:16:46,910 +Antigen و الخلية الفاعلة يكونوا موجودين وهذا بشكل + +209 +00:16:46,910 --> 00:16:52,330 +خطر كبير في الجسم في أي لحظة ممكن تتنشط هذه الخلية + +210 +00:16:52,330 --> 00:17:00,740 +وتعمل autoimmune diseaseوبالتالي وجودها خطر وجودها + +211 +00:17:00,740 --> 00:17:08,920 +خطر و .. if the B cell with low affinity for self + +212 +00:17:08,920 --> 00:17:14,080 +antigen undergone undergo sematic mutation و بدت و + +213 +00:17:14,080 --> 00:17:17,200 +اتحولت ل high affinity اللي هو affinity تبعتها + +214 +00:17:17,200 --> 00:17:21,020 +صارت high affinity to self antigen ممكن تتمشر + +215 +00:17:21,020 --> 00:17:30,220 +بسهولةوتفس الكلام ينطبق على الـT-lymphocyte which + +216 +00:17:30,220 --> 00:17:33,460 +can also be activated if the concentration of self + +217 +00:17:33,460 --> 00:17:39,580 +-peptide is increased يجاها وجود الـantigen المهمل + +218 +00:17:39,580 --> 00:17:45,540 +اللي ignored antigen وقلنا مهمل لأنه either it has + +219 +00:17:45,540 --> 00:17:52,060 +low concentration orالرسيبتور على السلسلة المشغولة + +220 +00:17:52,060 --> 00:17:56,040 +لديها افينيتي قصيرة لتعامل مع ذلك الانتجن فبالتالي + +221 +00:17:56,040 --> 00:18:00,340 +بيحصل فيه اكتشاف لهذا الانتجن لكن قلنا في اي لحظة + +222 +00:18:00,340 --> 00:18:04,120 +من اللحظات ممكن يزيد ال concentration of انتجن و + +223 +00:18:04,120 --> 00:18:08,680 +اما يزيد ال affinity of الرسيبتور ويحصل على اوتو + +224 +00:18:08,680 --> 00:18:09,200 +اميون + +225 +00:18:11,730 --> 00:18:14,730 +الـ Peripheral Tolerance طبعاً الكلام اللي قلناه + +226 +00:18:14,730 --> 00:18:17,370 +هذا طوي كنا بنحكي على الـ Central Tolerance وين + +227 +00:18:17,370 --> 00:18:21,090 +بيصير في ال primary lymphoid organs وين في ال bone + +228 +00:18:21,090 --> 00:18:24,130 +marrow and thymus بالنسبالي الـ B وT الينفوسايت + +229 +00:18:24,130 --> 00:18:26,770 +قلنا الـ Peripheral Tolerance بيصير in the + +230 +00:18:26,770 --> 00:18:33,650 +periphery خلايا هربت من ال primary lymphoid organs + +231 +00:18:33,650 --> 00:18:38,970 +as autoreactive cell ماشي و نزلت على ال periphery + +232 +00:18:38,970 --> 00:18:43,530 +لكن في ال peripheryThis will undergo somatic + +233 +00:18:43,530 --> 00:18:47,850 +mutation in the periphery ومرّات ال mutation بتؤدي + +234 +00:18:47,850 --> 00:18:53,950 +إلى auto reactive specificity فشو اللي بيصير؟ + +235 +00:18:53,950 --> 00:18:58,690 +بيصيرها peripheral tolerance وبالتالي ال + +236 +00:18:58,690 --> 00:19:03,810 +peripheral tolerance بشكل يعني شبكة + +237 +00:19:10,390 --> 00:19:15,630 +اللي شردت من البريفرال + +238 +00:19:15,630 --> 00:19:22,430 +الانفويدي الأولي على البريفري عاشر ميكانيزمات اللي + +239 +00:19:22,430 --> 00:19:27,490 +بتعمل البرفلر تجنس جاله إما energy وإما deletion + +240 +00:19:27,490 --> 00:19:32,800 +وإما activation induced cell deathوInduction of + +241 +00:19:32,800 --> 00:19:37,940 +Regulatory T Cell وT + +242 +00:19:37,940 --> 00:19:43,500 +Cell Energy بيعتبر هو الـ Major Mechanism for + +243 +00:19:43,500 --> 00:19:49,240 +Induction of Unresponsiveness States للـ Self + +244 +00:19:49,240 --> 00:19:51,680 +Antigen في البريفيري + +245 +00:19:54,500 --> 00:19:58,640 +نقطة تانية كمان خلايا جاية من البنكريا اسم ال + +246 +00:19:58,640 --> 00:20:02,540 +kidney من ال liver و بعض الأعضاء الأخرى do not + +247 +00:20:02,540 --> 00:20:06,640 +express co-stimulatory موليكيولو وبالتالي ال + +248 +00:20:06,640 --> 00:20:11,640 +أنتجين presented by these cell are likely induce + +249 +00:20:11,640 --> 00:20:16,460 +energy مدى مافيش second signal اللي هو ال co + +250 +00:20:16,460 --> 00:20:22,800 +-stimulatory signal بلده برضه فيه energyT-cells + +251 +00:20:22,800 --> 00:20:28,360 +encountered antigen in the periphery لكن يعني مسكت + +252 +00:20:28,360 --> 00:20:33,680 +بالانتجن في البريفري لكن مافيش T-cell اتزودها بال + +253 +00:20:33,680 --> 00:20:38,960 +second signal ايضا will undergo energy deletion + +254 +00:20:38,960 --> 00:20:45,680 +also occur in the periphery طبعا ال deletion بتتم + +255 +00:20:45,680 --> 00:20:51,060 +من خلال الفاس فاس legend interactionوالـ Fas مدينة + +256 +00:20:51,060 --> 00:20:56,520 +أبوبتوسيد من خلال اللي هو الـ ligation of Fas + +257 +00:20:56,520 --> 00:21:00,540 +ligand بعد .. طبعا مصير فيه removal of the mature + +258 +00:21:00,540 --> 00:21:04,300 +autoreactive B-lymphocytes بعد الارتباط بين الفاس + +259 +00:21:04,300 --> 00:21:07,740 +و الفاس ليجند الفاس بحيث ذاته عبارة عن monomer + +260 +00:21:07,740 --> 00:21:12,360 +expressed + +261 +00:21:12,360 --> 00:21:18,540 +by activated lymphocytes وهو عبارة عن عضو فيhuman + +262 +00:21:18,540 --> 00:21:24,300 +cross factor family receptor ارتباط الفاس بالفاس + +263 +00:21:24,300 --> 00:21:29,460 +لجنت بينقل + +264 +00:21:29,460 --> 00:21:36,840 +اشارة اسمها apoptic signal للخلية اللي على سطح + +265 +00:21:36,840 --> 00:21:42,770 +الفاسوطبعا فاز ليجند يتم إدراك بشكل عام بشكل عام + +266 +00:21:42,770 --> 00:21:43,990 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +267 +00:21:43,990 --> 00:21:46,230 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +268 +00:21:46,230 --> 00:21:48,310 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +269 +00:21:48,310 --> 00:21:50,670 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +270 +00:21:50,670 --> 00:21:51,870 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +271 +00:21:51,870 --> 00:21:52,210 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +272 +00:21:52,210 --> 00:22:02,270 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +273 +00:22:02,270 --> 00:22:04,790 +عام ب + +274 +00:22:09,280 --> 00:22:15,660 +في الـ FAD حيث انتشرت بـ Death Domain of several + +275 +00:22:15,660 --> 00:22:21,500 +cytosolic adaptor proteins أشهرها هو الـ FAD اللي + +276 +00:22:21,500 --> 00:22:27,580 +هو الـ FAD Associated Death Domain وطبعاً متى ما + +277 +00:22:27,580 --> 00:22:33,200 +صار الارتباط بيصير فيه تكوين لمجموعة من الـ + +278 +00:22:33,200 --> 00:22:38,710 +cysteine بروتييز بيسموها ك Spaces Enzymeوهذا بتؤدي + +279 +00:22:38,710 --> 00:22:46,870 +الى aboptosis of cell الناس اللي ما عندهمش طبعا + +280 +00:22:46,870 --> 00:22:51,350 +فاز ممكن يصير عندهم auto lymph proliferative + +281 +00:22:51,350 --> 00:22:55,090 +syndrome والفاز فاز legend + +282 +00:22:57,910 --> 00:23:03,430 +التي تخلصنا من الـ T-Lymphocytes في البريفيري. It + +283 +00:23:03,430 --> 00:23:07,190 +also may be involved in mediating negative + +284 +00:23:07,190 --> 00:23:10,450 +selection في الـThymus. كمان نفس الحكاية ممكن + +285 +00:23:10,450 --> 00:23:13,710 +تصير، نفس الميكانيزم هذا اللي بيصير في البريفيري + +286 +00:23:13,710 --> 00:23:19,600 +ممكن تصير في الـThymus. Energized B-Lymphocytesهي + +287 +00:23:19,600 --> 00:23:23,760 +مستحيلة أيضًا لـ Fas-mediated apoptosis يعني + +288 +00:23:23,760 --> 00:23:27,000 +الميكانيزم هذا اللي بيصير في الـ T-Lymphocyte ممكن + +289 +00:23:27,000 --> 00:23:32,580 +يصير في الـ B-Lymphocyte وهذا + +290 +00:23:32,580 --> 00:23:38,140 +هو الميكانيزم شايفين الـ Fas اللي هو عبارة عن CD + +291 +00:23:38,140 --> 00:23:41,220 +95 + +292 +00:23:41,220 --> 00:23:50,190 +It has death domain يوم ما يرتبط الـ Fas-ligandهذا + +293 +00:23:50,190 --> 00:23:59,670 +هو الفاز اللي كان بالفاد شو بيصير قالوا الفاز الـ + +294 +00:23:59,670 --> 00:24:05,190 +domain will be activated وطبعا هي الـ primaries + +295 +00:24:05,190 --> 00:24:10,870 +will be activated و بيكون kasabase-8 اللي بنشط + +296 +00:24:10,870 --> 00:24:17,210 +kasabase-3 و ال kasabase-3 بعمل DNA fragmentation + +297 +00:24:17,210 --> 00:24:22,580 +وبالتالي تخليها بسلحة أوبتوسسبتعمل عملية تنشيط + +298 +00:24:22,580 --> 00:24:27,860 +Casase enzyme من خلال ارتباط الفاس بالفاس لجند أو + +299 +00:24:27,860 --> 00:24:32,440 +بالفاد اللى ماسك بالفاس لجند وبالتالي بيتكون + +300 +00:24:32,440 --> 00:24:38,000 +Casase 8 اللى بنشط Casase 3 أمر عن سلسلة من ال + +301 +00:24:38,000 --> 00:24:42,760 +Casase اللى بيعمل ال DNA Fragmentation of Cell + +302 +00:24:42,760 --> 00:24:48,720 +خلّيها باسم Apoptic Cell + +303 +00:24:52,370 --> 00:24:55,370 +regulatory or suppressor T cell يبدأ شوفنا ال + +304 +00:24:55,370 --> 00:24:59,790 +deletion شوفنا ال ال receptor editing وشوفنا ال + +305 +00:24:59,790 --> 00:25:05,110 +energy كمان بيصير في حال تكوين ل regulatory T + +306 +00:25:05,110 --> 00:25:09,810 +lymphocytes بسموها suppressor T cell وهي طبعا هذه + +307 +00:25:09,810 --> 00:25:15,230 +عبارة عن CD4 T cell اللي بتعمل عندها القدرة to + +308 +00:25:15,230 --> 00:25:22,680 +down regulate T cell functionبسموها تي ريج تي ريج + +309 +00:25:22,680 --> 00:25:28,250 +express CD 25وهي عبارة عن IL-2 ريسيبتور Alpha + +310 +00:25:28,250 --> 00:25:36,690 +Chain CD4-CD25 Subresource Cell بتشكل حوالي 10% من + +311 +00:25:36,690 --> 00:25:44,010 +الـ CD4 Positive Cell الميس اللي ما عنده CD4 + +312 +00:25:44,010 --> 00:25:48,230 +Positive CD25 Positive T Subresource Cell بيعمل + +313 +00:25:48,230 --> 00:25:51,570 +Autoimmune Disease زي Thyroiditis, Gastritis, + +314 +00:25:51,710 --> 00:25:58,010 +Insulitis, AngiomarynephritisوT suppressor cell + +315 +00:25:58,010 --> 00:26:04,130 +suppress graft versus host disease induced by CD4 + +316 +00:26:04,130 --> 00:26:10,990 +positive CD25 negative T lymphocytes هي أيضا T + +317 +00:26:10,990 --> 00:26:15,370 +suppressor cell اللي بتعمل تثبيت لجرافت versus + +318 +00:26:15,370 --> 00:26:23,910 +host disease rejection CD4 positive 25 positive T + +319 +00:26:23,910 --> 00:26:29,480 +suppressor cellقالوا إما Produce + +320 +00:26:29,480 --> 00:26:37,760 +either low or very low level of IL-2 لكن معظمهم + +321 +00:26:37,760 --> 00:26:41,360 +Produced + +322 +00:26:41,360 --> 00:26:44,280 +immunosuppressive drug اللي هو Transforming Growth + +323 +00:26:44,280 --> 00:26:45,000 +Factor Beta + +324 +00:26:51,850 --> 00:26:56,490 +يعني هي مابت بتكون IL-2 ريسبتور وهذا عبارة عن T + +325 +00:26:56,490 --> 00:27:01,070 +cell activator وبالتالي او بتكونه بكمية قليلة جدا + +326 +00:27:01,070 --> 00:27:05,470 +لكن ال cytokine الأساسي اللي يتكون هو transforming + +327 +00:27:05,470 --> 00:27:10,050 +growth factor بيتا وهذا inhibitory cytokine من + +328 +00:27:10,050 --> 00:27:14,640 +الحاجات المهمة كمان انهThey also express chemokine + +329 +00:27:14,640 --> 00:27:24,480 +receptor 48 ودولهم من يؤدوا الى كيموتاكتك cytokine + +330 +00:27:24,480 --> 00:27:29,700 +او chemokine بيؤدوا الى ال migration of cells to + +331 +00:27:29,700 --> 00:27:35,460 +inflamed organ او بيروحوا على ال lymph nodes ساحة + +332 +00:27:35,460 --> 00:27:40,640 +المعركة كيف بيعملوا ال suppression؟ قالوا they + +333 +00:27:40,640 --> 00:27:45,930 +induce suppressionمن خلال الـ cell to cell contact + +334 +00:27:45,930 --> 00:27:50,510 +لازم هو يحصل فيه cell to cell contact ومتى ما صار + +335 +00:27:50,510 --> 00:27:53,210 +فيه content ي inhibit ال proliferation and + +336 +00:27:53,210 --> 00:27:58,630 +activation لإما CD4 أو CD8 cell وبالتالي يمنعه + +337 +00:27:58,630 --> 00:28:04,870 +اللي هو ال transcription of IL-2 في هذه الخلايا + +338 +00:28:04,870 --> 00:28:10,960 +ومتى ما صار مافيش IL-2 مافيش activationفي نوعين + +339 +00:28:10,960 --> 00:28:18,200 +تمين من الـ CD4 T-lymphocyte that have suppressive + +340 +00:28:18,200 --> 00:28:23,480 +activity have been identified واحدة بيسموها TR1 + +341 +00:28:23,480 --> 00:28:28,500 +والتانية بيسموها T-Helper 3 لأن TR1 بتطلع + +342 +00:28:28,500 --> 00:28:32,860 +inhibitory cytokine زي IL-10-transforming growth + +343 +00:28:32,860 --> 00:28:42,930 +factor beta و it has noأو قليل من الـ IL-2 و IL-4 + +344 +00:28:42,930 --> 00:28:46,710 +و الـCytokine يعني اللي بتنتجه هم عبارة عن + +345 +00:28:46,710 --> 00:28:51,910 +Inhibitory Cytokine بيقولوا + +346 +00:28:51,910 --> 00:28:59,950 +انه اتفضل ان الانتجام 80% و 86% على سطح الانتجام + +347 +00:28:59,950 --> 00:29:05,630 +presenting cell مع ال CTLA-4 اللي هو ريسبتور على + +348 +00:29:05,630 --> 00:29:14,020 +ال T Ringبيؤدي إلىCostimulatory Signal لكنها + +349 +00:29:14,020 --> 00:29:18,240 +Inhibitory Signal مش Stimulatory Signal وبالتالي + +350 +00:29:18,240 --> 00:29:21,280 +بيصير فيه Suppressive يوم بيوم ما الـ + +351 +00:29:21,280 --> 00:29:25,680 +Costimulation يصير بس من خلال الأرتباط بـ CTLA4 + +352 +00:29:25,680 --> 00:29:30,500 +بدل CD28 بيصير فيه إيش Inhibitory Signal وبالتالي + +353 +00:29:30,500 --> 00:29:35,300 +بيصير فيه Suppressive ل الخلايا ميكانيزم تاني أيضا + +354 +00:29:35,300 --> 00:29:39,200 +بيعمل Suppression وهو الـ Lymphocyte Activation + +355 +00:29:39,200 --> 00:29:45,780 +Gene 3اللي هو Lag ثلاثة يوم ما يرتبط Lag ثلاثة بال + +356 +00:29:45,780 --> 00:29:50,860 +MHC Class II موليكيول اللي ماسك الانتجن بيصير فيه + +357 +00:29:50,860 --> 00:29:58,200 +activation ل Treg وبالتالي Inhibition of T cell + +358 +00:29:58,200 --> 00:30:03,620 +activation Ileton Transforming Growth Factor Beta + +359 +00:30:03,620 --> 00:30:07,520 +مطلوبين for activation of Treg suppression + +360 +00:30:07,520 --> 00:30:14,530 +تيربرتلاتةأيضًا وجدوها لكن وجدوها شغلها الأساسي في + +361 +00:30:14,530 --> 00:30:18,490 +الـ Oral Tolerance ووجدوا أنها بتنتج + +362 +00:30:18,490 --> 00:30:20,790 +Transformation of the Birth Factor Beta يعني + +363 +00:30:20,790 --> 00:30:26,130 +انهيبش لـCytokine ومن خلال هذا الـCytokine بيصير + +364 +00:30:26,130 --> 00:30:33,030 +في انهيبش وهذا الميكانزم of over suppression هي + +365 +00:30:33,030 --> 00:30:40,220 +تيريج كيف اشتغلت تيريج ليه CD24 و CD25هذا هو + +366 +00:30:40,220 --> 00:30:43,580 +الارتباط + +367 +00:30:43,580 --> 00:30:48,720 +الأول MHC مع + +368 +00:30:48,720 --> 00:30:53,100 +TCR MHC ده جاي من Antigen Presenting Cell ماسكة + +369 +00:30:53,100 --> 00:30:58,430 +Antigen قدمته لهاالـ T-cell اللي هو T-rig أتت + +370 +00:30:58,430 --> 00:31:04,010 +ترتبط تعمل cost stimulation بس من خلال ايه؟ CD + +371 +00:31:04,010 --> 00:31:09,830 +ارتباط اللي هو CDA T86 اللي هم بي سبن مع CTLA4 + +372 +00:31:09,830 --> 00:31:15,390 +وقلنا هذا بيعمل inhibitory signal وبالتالي there + +373 +00:31:15,390 --> 00:31:21,290 +is no aisle to cytokine production وبالتالي مافيش + +374 +00:31:21,290 --> 00:31:26,070 +activationأو شو بيعمل هدوء طبعا هدوء صار في اكتئام + +375 +00:31:26,070 --> 00:31:34,630 +انهي بيشيل للخلية او انه لاج تلاتة gene lymphocyte + +376 +00:31:34,630 --> 00:31:39,370 +activating gene رقم تلاتة بيروحه مرتبط بال MHC + +377 +00:31:39,370 --> 00:31:42,670 +موليكيول وإذا صار فيه ارتباط بال MHC موليكيول برضه + +378 +00:31:42,670 --> 00:31:46,690 +نفس الحكاية بيصير فيه اللي هو Treg activation + +379 +00:31:46,690 --> 00:31:51,200 +وبيتم عملية ال Treg activation من خلالأفراز + +380 +00:31:51,200 --> 00:31:53,420 +Inhibitory cytokine اللي هي IL-10 + +381 +00:31:53,420 --> 00:32:00,380 +وترانسفورمينكروفاكتور بيتا oral tolerance كان ال + +382 +00:32:00,380 --> 00:32:03,260 +oral tolerance يعني الأكل اللي بناكله مليئ + +383 +00:32:03,260 --> 00:32:06,500 +بالأنتيجنات ليش ما بيصيرلوش إيه إيش immune + +384 +00:32:06,500 --> 00:32:10,860 +response؟وهذا يحدث في الـ Tolerance وبيسموه الـ + +385 +00:32:10,860 --> 00:32:15,400 +Tolerance هذا Oral Tolerance ماشي and it's defined + +386 +00:32:15,400 --> 00:32:18,600 +as the lack of humoral or cell-mediated immune + +387 +00:32:18,600 --> 00:32:25,180 +responses لمين to the ingested food antigen دي يجب + +388 +00:32:25,180 --> 00:32:30,180 +يكون بهذا العمل يتخيله T cell and the mechanism + +389 +00:32:30,180 --> 00:32:34,520 +for maintaining it بيعتمد على ال ingested antigen + +390 +00:32:38,170 --> 00:32:42,230 +قالوا ان الانجستد انتجن اما بيكون بلودوز او + +391 +00:32:42,230 --> 00:32:46,070 +هايدوز، اللودوز انتجن بنشط تهيلبرتلاتة، + +392 +00:32:46,070 --> 00:32:52,650 +suppressor، T cell، بينما الهايدوز انتجن induce T + +393 +00:32:52,650 --> 00:32:54,250 +cell energy or deletion + +394 +00:32:57,230 --> 00:33:05,570 +التولينات الاجتماعية ايضا هي اولا انشئت عندما + +395 +00:33:05,570 --> 00:33:10,950 +يصل الانتجن الاجتماعي الاجتماعي الاجتماعيالـ gut + +396 +00:33:10,950 --> 00:33:13,990 +-associated lymphoid tissue بيصير فيه oral + +397 +00:33:13,990 --> 00:33:19,410 +tolerance دي بتتكسل بتاخد الانتجين بتعمله + +398 +00:33:19,410 --> 00:33:28,050 +processing و بتقدمه لل T cell زي ما قولنا T cell + +399 +00:33:28,050 --> 00:33:32,610 +اما بتفرس T البرتلاتة او اما بيسلها deletion او + +400 +00:33:32,610 --> 00:33:35,250 +أبوبتوسس + +401 +00:33:36,510 --> 00:33:40,810 +ميكانيزم آخر يوم يكون فيه large dose للانتجين يقول + +402 +00:33:40,810 --> 00:33:46,450 +ان بعض الانتجين المشروع انتجت انتجت انتجت انتجت + +403 +00:33:46,450 --> 00:33:47,150 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +404 +00:33:47,150 --> 00:33:47,790 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +405 +00:33:47,790 --> 00:33:49,230 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +406 +00:33:49,230 --> 00:33:53,050 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +407 +00:33:53,050 --> 00:33:53,110 +انتجت انتجت انتجت انتجت انتجت انتجت انتجت انتجت + +408 +00:33:53,110 --> 00:34:03,090 +انتجت انتجت انتجت ان + +409 +00:34:04,470 --> 00:34:09,630 +is induced locally في المطرح شو بيصير؟ يتكوّن الـ + +410 +00:34:09,630 --> 00:34:14,270 +gut cytokine وين في الـ gut associated lymphoid + +411 +00:34:14,270 --> 00:34:18,130 +tissue و بتكون آية الأربعة، آية التن أو a + +412 +00:34:18,130 --> 00:34:23,210 +transforming growth factor ميتا وهذا بعمل + +413 +00:34:23,210 --> 00:34:26,230 +differentiation + +414 +00:34:26,230 --> 00:34:30,830 +to teleport two و تيلور تلاتة لكن بعمل انهيبش إلى + +415 +00:34:30,830 --> 00:34:34,520 +teleport oneالتي البرتلاتة زي ما قلنا بديت + +416 +00:34:34,520 --> 00:34:37,220 +suppression من خلال تكوين Transforming Birth + +417 +00:34:37,220 --> 00:34:41,620 +Factor Beta و Triggering T البرتلاتة is antigen + +418 +00:34:41,620 --> 00:34:45,560 +specific بس their suppression is antigen non + +419 +00:34:45,560 --> 00:34:54,020 +specific لما أصير suppression بصير فيهش للكل ال + +420 +00:34:54,020 --> 00:34:59,420 +Immune Privilege كانوا في بعض المناطق في الجسم not + +421 +00:34:59,420 --> 00:35:04,560 +developed immune responseاما لـ pathogen او tumour + +422 +00:35:04,560 --> 00:35:10,020 +cell او حتى لتشيو ترانسبلانت تشيو تشيو تشيو تشيو + +423 +00:35:10,020 --> 00:35:11,040 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +424 +00:35:11,040 --> 00:35:15,460 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +425 +00:35:15,460 --> 00:35:17,960 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +426 +00:35:17,960 --> 00:35:24,980 +تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو تشيو + +427 +00:35:24,980 --> 00:35:28,380 +تشيو تشيو + +428 +00:35:28,380 --> 00:35:37,770 +تشيو تشيو تشيو تماشي in the eye مابعملوش matching + +429 +00:35:37,770 --> 00:35:43,850 +tissue matching مش مبلوض ماشي اي حتى مابعته + +430 +00:35:43,850 --> 00:35:50,130 +immunosuppressive therapy immunosuppressive + +431 +00:35:50,130 --> 00:35:54,880 +cytokineوالـ Expression of Fasligand بيلعبوا دور + +432 +00:35:54,880 --> 00:36:03,080 +كبير في ال establishing ال immune privileged sites + +433 +00:36:03,080 --> 00:36:09,640 +ال reaction of Fasligand مع الفاس على سطح الانتيسل + +434 +00:36:09,640 --> 00:36:14,800 +بيؤدى الابوبتوسيت هنا ال retinal pigment + +435 +00:36:14,800 --> 00:36:19,560 +epithelial cell and corneal epithelial cell ايضا + +436 +00:36:19,560 --> 00:36:24,380 +ما بيعملوا expression لI've been observed to + +437 +00:36:24,380 --> 00:36:28,600 +express Fasligand and to induce apoptosis of + +438 +00:36:28,600 --> 00:36:33,120 +inflammatory T cell, أيضًا they express Fasligand + +439 +00:36:33,120 --> 00:36:41,260 +.وبهيك بنكون أن هنا المحاضرة أرجو أن تكونوا قد + +440 +00:36:41,260 --> 00:36:43,480 +استفدتم منها + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/dR8u2iQjrs4_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/dR8u2iQjrs4_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..8b2396709879b9b60c737c73f30418a754ed4c42 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/dR8u2iQjrs4_postprocess.srt @@ -0,0 +1,1980 @@ +1 +00:00:01,580 --> 00:00:06,500 +بسم الله الرحمن الرحيم عنوان محاضرتنا اليوم + +2 +00:00:06,500 --> 00:00:13,180 +autoimmunity and disease ال autoimmunity هو عبر + +3 +00:00:13,180 --> 00:00:16,540 +انحاء لمرضية تنشأ يوم ما يصير فيه breakdown to + +4 +00:00:16,540 --> 00:00:17,360 +self tolerance + +5 +00:00:24,590 --> 00:00:28,070 +الـ .. طبعا ال consequences of autoimmune disease + +6 +00:00:28,070 --> 00:00:31,570 +بتعتمد على جدش صار فيه خلال في ال self-tolerance + +7 +00:00:31,570 --> 00:00:34,970 +المفروض + +8 +00:00:34,970 --> 00:00:38,950 +أنه قبل ما نبدأ نفرق ما بين مصطلحين بين autoimmune + +9 +00:00:38,950 --> 00:00:41,390 +response و autoimmune disease طبعا ال autoimmune + +10 +00:00:41,390 --> 00:00:43,890 +disease عم نحكي عنها ان شاء الله autoimmune + +11 +00:00:43,890 --> 00:00:47,090 +response بتعني ان في recognition of self-antigen + +12 +00:01:04,800 --> 00:01:11,660 +مرة تانية نبدأ بسم الله اليوم محاضرتنا بعنوان + +13 +00:01:11,660 --> 00:01:15,880 +autoimmunity and disease ال autoimmune disease هي + +14 +00:01:15,880 --> 00:01:20,470 +تعريفا هي عبارة عن breakdown of self toleranceو + +15 +00:01:20,470 --> 00:01:25,010 +تبعات هذه الحالات المرضية بتعتمد جدش صار فيه خلل + +16 +00:01:25,010 --> 00:01:29,130 +في ال self-tolerance وبالتالي بيصير في severity of + +17 +00:01:29,130 --> 00:01:33,590 +disease في + +18 +00:01:33,590 --> 00:01:38,450 +البداية قبل ما نبدأ في هذا الموضوع بس بدنا نفرق ما + +19 +00:01:38,450 --> 00:01:42,870 +بين two terms واحد اللي هو ال autoimmune response + +20 +00:01:42,870 --> 00:01:45,590 +و autoimmune disease autoimmune disease ان شاء + +21 +00:01:45,590 --> 00:01:48,790 +الله هنحكي فيها التفصيل ده ال autoimmune responses + +22 +00:01:49,300 --> 00:01:54,240 +بتعني انه في recognition of self-antigen أدى الى + +23 +00:01:54,240 --> 00:01:59,540 +pathological consequences وبالتالي من خلال الإفراز + +24 +00:01:59,540 --> 00:02:02,940 +طبعا تكوين اما antibody او complement activation + +25 +00:02:02,940 --> 00:02:06,880 +او immune complexes formation and cell-mediated + +26 +00:02:06,880 --> 00:02:07,460 +immunity + +27 +00:02:13,700 --> 00:02:19,640 +causes of autoimmune disease طبعا أشهر هذه الأسباب + +28 +00:02:19,640 --> 00:02:23,400 +هو ال genetic susceptibility و طبعا لاحظوها من + +29 +00:02:23,400 --> 00:02:26,900 +خلال ال high incidence of autoimmune disease في ال + +30 +00:02:26,900 --> 00:02:31,840 +monozygotic twins و طبعا في نسبة أقل في الizygotic + +31 +00:02:31,840 --> 00:02:37,870 +and among family member إلا أنههذه ظاهرة موجودة و + +32 +00:02:37,870 --> 00:02:42,190 +بنعرف كتير من الحالات المرضية مشهورة في كثير من + +33 +00:02:42,190 --> 00:02:49,850 +عائلات البلد طبعا هذا بيتعلق في ال mode of + +34 +00:02:49,850 --> 00:02:54,830 +inheritance generally و لاحظوا ان الموضوع مش موضوع + +35 +00:02:54,830 --> 00:02:58,730 +gene واحد و انما عبارة عن polygenicبمعنى ان في + +36 +00:02:58,730 --> 00:03:06,550 +اكتر من individual gene has to be illicited to + +37 +00:03:06,550 --> 00:03:10,930 +form a disease من + +38 +00:03:10,930 --> 00:03:13,790 +اشهر الجينات اللي مرتبطة بال autoimmune disease + +39 +00:03:13,790 --> 00:03:18,130 +الـHLA complexes وطبعا + +40 +00:03:18,130 --> 00:03:20,590 +له علاقة مباشرة كتير من الأمراض اللي هي علاقة + +41 +00:03:20,590 --> 00:03:24,410 +مباشرة بالامسي الليل اللي + +42 +00:03:26,380 --> 00:03:31,800 +مرتبط بحالات مرضية معينة لكن هذا القليل وجوده + +43 +00:03:31,800 --> 00:03:34,960 +بيستلزم + +44 +00:03:34,960 --> 00:03:39,460 +it require other gene to cooperate او + +45 +00:03:39,460 --> 00:03:43,660 +environmental triggers ماشي يعني وجود ال gene + +46 +00:03:43,660 --> 00:03:48,600 +القليل هذا عند اي شخص معناته انه عنده high + +47 +00:03:48,600 --> 00:03:53,620 +incidence of this disease لكن to become a patient + +48 +00:03:53,620 --> 00:03:54,800 +he has + +49 +00:04:03,740 --> 00:04:08,600 +عشان يسير في حد هو ال autoimmune diseaseطبعا + +50 +00:04:08,600 --> 00:04:14,780 +الدراسات على ال mice اثبتت ان HLA gene can + +51 +00:04:14,780 --> 00:04:19,120 +interfere with many different pathway في ال + +52 +00:04:19,120 --> 00:04:24,440 +cellular function وبالتالي بتؤدي الى autoimmune + +53 +00:04:24,440 --> 00:04:29,740 +diseaseالعوامل التي تؤثر على ال autoimmune disease + +54 +00:04:29,740 --> 00:04:32,120 +قالوا ال over expression أو ال under expression of + +55 +00:04:32,120 --> 00:04:36,020 +جين و بالذات الجينات التي are involved in + +56 +00:04:36,020 --> 00:04:37,760 +apoptosis and cell survival + +57 +00:04:45,140 --> 00:04:46,120 +وطبيعي الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +58 +00:04:46,120 --> 00:04:46,860 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +59 +00:04:46,860 --> 00:04:50,020 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +60 +00:04:50,020 --> 00:04:54,620 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +61 +00:04:54,620 --> 00:04:58,460 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +62 +00:04:58,460 --> 00:05:01,100 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +63 +00:05:01,100 --> 00:05:07,420 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +64 +00:05:09,640 --> 00:05:13,020 +Deficiency in pro-apoptic molecules زي الفاس + +65 +00:05:13,020 --> 00:05:17,980 +والفاس ليغنت أو ال over expression of anti-apoptic + +66 +00:05:17,980 --> 00:05:23,640 +molecules زي ال PCL2 وهو دابر عن جين ب code for ال + +67 +00:05:23,640 --> 00:05:29,390 +protein ملعب دوري كبير في الapoptosisCan interfere + +68 +00:05:29,390 --> 00:05:36,350 +the apoptosis طبعا غيابهم بيؤدي الى dimension of + +69 +00:05:36,350 --> 00:05:40,430 +apoptosis وإذا صار في dimension of apoptosis بيصير + +70 +00:05:40,430 --> 00:05:45,630 +فيه زيادة في ال auto reactive B and T cell وهذا + +71 +00:05:45,630 --> 00:05:50,870 +بيؤدي الى auto antibody production وطبعا أشهر هذه + +72 +00:05:50,870 --> 00:05:56,870 +ال antibody هو ال antinuclear antibody ال T cell + +73 +00:05:58,200 --> 00:06:06,500 +ملاحظة اخرى تسل اوتو reactivity لجوها ايضا بتصير + +74 +00:06:06,500 --> 00:06:10,360 +as a result of expression of pro inflammatory + +75 +00:06:10,360 --> 00:06:17,550 +cytokine زي IL-10or excessive costimulation due to + +76 +00:06:17,550 --> 00:06:26,170 +overexpression of B7C28 و a deficiency of + +77 +00:06:26,170 --> 00:06:32,490 +inhibitor of costimulation reaction ماشي يبقى هذه + +78 +00:06:32,490 --> 00:06:41,720 +برضه لها علاقة بال auto reactive T cellايضا اللعب + +79 +00:06:41,720 --> 00:06:46,700 +في ال strength of signal transduction زي ما قلنا + +80 +00:06:46,700 --> 00:06:52,620 +انه اذا كان في صعب في under expression ل CD 22 او + +81 +00:06:52,620 --> 00:07:04,760 +over expression ل CD 19 ايضا + +82 +00:07:11,220 --> 00:07:16,920 +Enhanced T Cell Helps + +83 +00:07:16,920 --> 00:07:21,040 +Enhance + +84 +00:07:21,040 --> 00:07:25,140 +Expression Of CD4 To 40-Ligand ايضا Similarly + +85 +00:07:25,140 --> 00:07:33,400 +Leads To O2 Antibody Production ملاحظة اخرى ايضا + +86 +00:07:33,400 --> 00:07:36,500 +اللي علاقة بالـ O2 Immune Disease فهو Under + +87 +00:07:36,500 --> 00:07:39,900 +Expression Of Protein زي الـ Serum Amyloid Protein + +88 +00:07:40,350 --> 00:07:43,850 +وهذا بلعب دور كبير في ال clearance of apoptic + +89 +00:07:43,850 --> 00:07:46,650 +particles or decreased clearance of immune + +90 +00:07:46,650 --> 00:07:50,790 +complexes ناتجة عن deficiency of complement + +91 +00:07:50,790 --> 00:07:57,810 +component either c1q, c2, c3 or even c4 هم بيادوا + +92 +00:07:57,810 --> 00:08:00,230 +الدولة الى ال auto antibody production + +93 +00:08:08,330 --> 00:08:13,790 +مثال الحقيقي على هذا الكلام هو الـ Neurine Model + +94 +00:08:13,790 --> 00:08:21,710 +of Autoimmune Myocarditis which revealed that the + +95 +00:08:21,710 --> 00:08:26,210 +disease susceptibility and cardiac damage بتعتمد + +96 +00:08:26,210 --> 00:08:31,030 +علىStrain-specific cardiac myosin antigen + +97 +00:08:31,030 --> 00:08:36,110 +Accessibility والوضع اللي هو ال myosin انتجين في + +98 +00:08:36,110 --> 00:08:40,850 +ال cardiac tissue + +99 +00:08:40,850 --> 00:08:46,530 +Environmental susceptibility يعني فيه several + +100 +00:08:46,530 --> 00:08:49,090 +environmental factors either infectious or non + +101 +00:08:49,090 --> 00:08:53,120 +-infectious which can trigger autoimmunityكيف؟ + +102 +00:08:53,120 --> 00:08:56,180 +جاله by inducing release of sequestered antigen or + +103 +00:08:56,180 --> 00:08:59,620 +molecular mimicry او polyclonal activation وحنا + +104 +00:08:59,620 --> 00:09:03,180 +ناخد أمثلة على هذا الكلام فعلى سبيل المثال ال + +105 +00:09:03,180 --> 00:09:07,240 +autoimmune myocarditis وجدوا اللي هو علاقة مباشرة + +106 +00:09:07,240 --> 00:09:12,220 +بال myocardial infarction or cardiac ischemic + +107 +00:09:12,220 --> 00:09:16,160 +attack شو بيصير فيها؟ ال cardiac ischemic attack + +108 +00:09:16,160 --> 00:09:21,580 +بيصير فيه tissue damage لأ cardiac damageبالتالي + +109 +00:09:21,580 --> 00:09:25,940 +بيحصل فيه سيكوستر انتجين للكاردك مسلز بيقولوا انه + +110 +00:09:25,940 --> 00:09:29,600 +سبب ال autoimmune myocarditis هو نتج عناش ال + +111 +00:09:29,600 --> 00:09:32,780 +consequences of exposure to sequestered antigen + +112 +00:09:32,780 --> 00:09:39,440 +upon heart damage ايضا ال autoimmunity may also + +113 +00:09:39,440 --> 00:09:44,080 +arise when an antibodyor T cell specific for + +114 +00:09:44,080 --> 00:09:48,740 +microbial antigen cross react with self-antigen + +115 +00:09:48,740 --> 00:09:53,080 +المصطلح الكتير مشهور اللى هو molecular mimicry فى + +116 +00:09:53,080 --> 00:10:01,580 +تشابه ما بينيش foreign antigen مع self-antigen T + +117 +00:10:01,580 --> 00:10:08,760 +cell dependent self-antigen لا تستطيع أنها اتمشب + +118 +00:10:10,550 --> 00:10:17,790 +الـ B-cell في تكوين auto-antibody لأنه + +119 +00:10:17,790 --> 00:10:22,650 +there are no auto-reactive T-cell helper يعني احنا + +120 +00:10:22,650 --> 00:10:25,950 +ببساطة بيقول ان الـB لنفسها عيطش يوم ما تصعد في + +121 +00:10:25,950 --> 00:10:31,990 +فرن انتجين و تمشي به مابتقدرش تتنشط ليش؟ لأنه الـT + +122 +00:10:31,990 --> 00:10:39,020 +-cell مطلوبة عشان تنشطيعني مساعدة لا تتمشط إلا + +123 +00:10:39,020 --> 00:10:42,500 +بمساعدة الـ T-Helper Cell وغالبا الـ T-Lymphocyte + +124 +00:10:42,500 --> 00:10:51,280 +is either deleted or energized يعني في ال primary + +125 +00:10:51,280 --> 00:10:55,870 +lymphoid organs من البداية الـ T-Lymphocyteis well + +126 +00:10:55,870 --> 00:11:01,050 +educated يعني بمعنى انه بتتعلم صح والمحاصرة + +127 +00:11:01,050 --> 00:11:04,130 +التعليم يامبسيل اندليشين لل auto reactive + +128 +00:11:04,130 --> 00:11:12,910 +telephosite يامبسيل انرجزت المشكلة + +129 +00:11:12,910 --> 00:11:18,770 +ممكن تصير لما يكون فرن انتجن بيحتوي على إيبيتوب + +130 +00:11:18,770 --> 00:11:23,790 +similar to إيبيتوب of self-antigen وبالتالي في هذه + +131 +00:11:23,790 --> 00:11:27,340 +الحالةبيصير فيه تكوين لـ auto antibody response + +132 +00:11:27,340 --> 00:11:35,360 +for the foreign antigen اللي أيضا ممكن يتفاعل مع + +133 +00:11:35,360 --> 00:11:39,000 +ال self-antigen لأنه بيصير فيه cross reactivity في + +134 +00:11:39,000 --> 00:11:43,300 +هذه الحالة هذا ما يسمى بالإيش بال molecular + +135 +00:11:43,300 --> 00:11:48,520 +mimicry ونشوف حنشوف ان شاء الله في ال figure 12.5 + +136 +00:11:48,520 --> 00:11:55,050 +هذا الكلام molecular mimicryهو مؤكد انه يعمل رول + +137 +00:11:55,050 --> 00:12:02,110 +في الروماتيك فيفر روماتيك + +138 +00:12:02,110 --> 00:12:07,230 +فيفر اليوم تكون تنتج + +139 +00:12:07,230 --> 00:12:12,350 +من نتيجة استريبتو كوكال انفكشن يعني لو في بعض ال + +140 +00:12:12,350 --> 00:12:17,150 +cross reactivity في الستريبتو كوكالوالـ Cardic + +141 +00:12:17,150 --> 00:12:22,610 +Myosin اللي هو البروتين وبالتالي بتكون Auto + +142 +00:12:22,610 --> 00:12:28,610 +Antibody which can cross-reactive with the Myosin + +143 +00:12:28,610 --> 00:12:34,450 +in the heart Autoimmune + +144 +00:12:34,450 --> 00:12:38,190 +Diabetes كمان تينفوسايت can recognize a peptide + +145 +00:12:38,190 --> 00:12:45,140 +فقط بيبتايد من ال glutamic acid D-carboxylaseوهذا + +146 +00:12:45,140 --> 00:12:51,760 +عبارة عن انتجة موجودة في ال beta islet cell لهو + +147 +00:12:51,760 --> 00:12:56,700 +هذا كان cross reaction cross react with peptide + +148 +00:12:56,700 --> 00:13:01,740 +derived from kokusaki virus يعني في تشابه ما بين + +149 +00:13:01,740 --> 00:13:06,420 +اللي هو ال kokusaki virus وما بين a glutamic acid + +150 +00:13:06,420 --> 00:13:12,110 +اللي هو ال b cell ب islet cellاللي هو من خلال + +151 +00:13:12,110 --> 00:13:17,530 +Glutamic Acid Carboxylase Antigen أيضًا بيصير فيه + +152 +00:13:17,530 --> 00:13:23,750 +molecular mimicry وطبعًا ال autoimmune disease can + +153 +00:13:23,750 --> 00:13:27,270 +be developed + +154 +00:13:27,270 --> 00:13:35,270 +بعد ما يصير فيه microbial infection وهو مثلًا زي + +155 +00:13:35,270 --> 00:13:38,760 +ما انتوا شايفينهي عبارة عن auto-reactive B + +156 +00:13:38,760 --> 00:13:47,120 +lymphocytes ماسكة في self-antigen و الـ self + +157 +00:13:47,120 --> 00:13:52,860 +-antigen ده هو في ميكروبيا الـ antigen بيشترك معاه + +158 +00:13:52,860 --> 00:13:58,440 +في إيبيتوب بيشترك معاه في إيبيتوب طبعا ال B + +159 +00:13:58,440 --> 00:14:06,380 +lymphocytes تتمشط for the foreign partو تصبح نشطة + +160 +00:14:06,380 --> 00:14:11,180 +و عندما تصبح نشطة تصبح نشطة لنا بيينفوسايدس لناس + +161 +00:14:11,180 --> 00:14:19,400 +كمين الفرن ابتدوا which can cause react with the + +162 +00:14:19,400 --> 00:14:24,900 +self ابتدوا تطلع auto antibody which can react مع + +163 +00:14:24,900 --> 00:14:29,900 +ال self و مع الفرن مع ال self و مع الفرن + +164 +00:14:31,960 --> 00:14:36,540 +طبعا هذا هو الوضع اللي قلناه انه في common ابتوب + +165 +00:14:36,540 --> 00:14:43,440 +في ال foreign antigen مع ال ash مع ال self antigen + +166 +00:14:43,440 --> 00:14:47,400 +فبتتنشط طبعا تيليمفوسايت للforeign ابتوب فتنشط + +167 +00:14:47,400 --> 00:14:51,580 +النمين تيليمفوسايت بيليمفوسايت وبيليمفوسايت تطلع + +168 +00:14:51,580 --> 00:14:57,240 +antibody for both self and ash and foreign antigen + +169 +00:14:58,250 --> 00:15:00,590 +الحاجة التالتة اللي احنا ان شاء الله هنحكي عليها + +170 +00:15:00,590 --> 00:15:04,910 +زي ما انتوا شايفين يوم ما يصير فيه polyclonal + +171 +00:15:04,910 --> 00:15:09,770 +polyclonal يعني اكتر من clone او بي سل اكتلاشيون + +172 +00:15:09,770 --> 00:15:15,010 +شو اللي بيصير؟ يعني بتكون شي بينهم auto reactive + +173 +00:15:15,010 --> 00:15:22,230 +clone فده هي ال auto reactive cell فيوم ما يخش big + +174 +00:15:22,230 --> 00:15:26,510 +antigen زي ال limopolysaccharides ماشي؟ which has + +175 +00:15:26,510 --> 00:15:32,680 +ability toact as a super antigen فبالتالي بروحه هو + +176 +00:15:32,680 --> 00:15:40,540 +مرتبط ماشي و طبعا + +177 +00:15:40,540 --> 00:15:48,820 +بال receptor على سطح ال ash بيرينفوسايت ثم بي كان + +178 +00:15:48,820 --> 00:15:53,780 +بي associate with طول الايكريسبتر وطول الايكريسبتر + +179 +00:15:53,780 --> 00:15:58,750 +بيعمل signal transaction وبنشط ال ashالعيب او + +180 +00:15:58,750 --> 00:16:02,490 +بوريسا كرهت بتبت برسيبتور مرتبط بالطلعي كرسيبتور + +181 +00:16:02,490 --> 00:16:05,210 +which has the ability to induce signal + +182 +00:16:05,210 --> 00:16:11,250 +transduction ومحصلتها + +183 +00:16:11,250 --> 00:16:15,830 +activation of cell طبعا يوم يصير فيه اكتر من كلون + +184 +00:16:15,830 --> 00:16:19,210 +activated ومن ضمنهم auto reactive clone it will + +185 +00:16:19,210 --> 00:16:27,140 +induce autoimmune diseaseهي الـ Polyclonal + +186 +00:16:27,140 --> 00:16:31,120 +Activation الـ Polyclonal Activator يمكن أن يخلق + +187 +00:16:31,120 --> 00:16:33,020 +المال بشكل محدد يخلق المال بشكل محدد يخلق المال + +188 +00:16:33,020 --> 00:16:35,660 +بشكل محدد يخلق المال بشكل محدد يخلق المال بشكل + +189 +00:16:35,660 --> 00:16:36,520 +محدد يخلق المال بشكل محدد يخلق المال بشكل محدد + +190 +00:16:36,520 --> 00:16:36,820 +يخلق المال بشكل محدد يخلق المال بشكل محدد يخلق + +191 +00:16:36,820 --> 00:16:37,600 +المال بشكل محدد يخلق المال بشكل محدد يخلق المال + +192 +00:16:37,600 --> 00:16:38,440 +بشكل محدد يخلق المال بشكل محدد يخلق المال بشكل + +193 +00:16:38,440 --> 00:16:39,820 +محدد يخلق المال بشكل محدد يخلق المال بشكل محدد + +194 +00:16:39,820 --> 00:16:42,420 +يخلق المال بشكل محدد يهيحصل فيه autoimmune disease + +195 +00:16:42,420 --> 00:16:45,700 +مثل ما قلنا من قبل كوهت بيهيف ماني بكتيريال او + +196 +00:16:45,700 --> 00:16:49,620 +viral antigen can behave as a super antigen + +197 +00:16:49,620 --> 00:16:52,560 +وبالتالي it will activate different clone of T + +198 +00:16:52,560 --> 00:16:59,760 +cell بغض النظر عن ال specificity في هذه الحالة + +199 +00:16:59,760 --> 00:17:05,240 +طبعا تطبق مع ال VB gene domain اللي بيكون موجود + +200 +00:17:05,240 --> 00:17:07,380 +outside the peptide binding domain + +201 +00:17:10,810 --> 00:17:16,630 +ماني كنزيرد موليكي لارستكتشار اللي هي ال BAMs اللي + +202 +00:17:16,630 --> 00:17:19,330 +موجودة على مايكرو أورجانيزم اللي هي ال BAMs + +203 +00:17:19,330 --> 00:17:21,990 +سميناها pathogen associated molecular pattern + +204 +00:17:21,990 --> 00:17:26,750 +بتلعب دون كبير كاياش ك polyclonal activator ل بي + +205 +00:17:26,750 --> 00:17:31,110 +سيل طبعا بتعتبر التلسنتر في هذه الحالة pattern + +206 +00:17:31,110 --> 00:17:36,270 +recognition moleculeاللي مرتبط بالـ BAMB وبنشطرنا + +207 +00:17:36,270 --> 00:17:40,130 +الـ B-lymphocyte as well as other طبعاً cell, + +208 +00:17:40,670 --> 00:17:45,610 +lipopolysaccharides can polychronally activate ال + +209 +00:17:45,610 --> 00:17:49,950 +mouse B-cell بما فيها ال auto-reactive B-cell من + +210 +00:17:49,950 --> 00:17:53,730 +خلال interaction with receptor on the cell surface + +211 +00:17:53,730 --> 00:18:01,270 +اللي مرتبط بتولعك receptor 4 شفناها في الاشياءطبعا + +212 +00:18:01,270 --> 00:18:08,090 +اليوم بيقولوا انه احد النظريات المطروحة انه ال + +213 +00:18:08,090 --> 00:18:10,770 +innate signaling through tool-like receptors + +214 +00:18:10,770 --> 00:18:15,190 +pathway may be a mechanism for activating + +215 +00:18:15,190 --> 00:18:20,070 +energetic B cell حتى ال energetic B cell can be + +216 +00:18:20,070 --> 00:18:27,790 +activated trigger + +217 +00:18:27,790 --> 00:18:32,900 +of autoimmunityايش هي العوامل اللي احنا قلنا بانها + +218 +00:18:32,900 --> 00:18:37,340 +environmental factor ده ال trigger اللي هو ان انا + +219 +00:18:37,340 --> 00:18:42,860 +اخور chemical substance هورمون في ال SLE بقولوا هو + +220 +00:18:42,860 --> 00:18:46,720 +is ten times more common in women than in men + +221 +00:18:46,720 --> 00:18:52,700 +والسبب في ذلك الاستروجين Searching drug can + +222 +00:18:52,700 --> 00:18:56,780 +chemically alter T cell carrier epitope of a self + +223 +00:18:56,780 --> 00:19:01,750 +-antigen to render it immunogenicتحول الـ self + +224 +00:19:01,750 --> 00:19:08,750 +-antigen إلى immunogenic antigen نصف سبريسوف T + +225 +00:19:08,750 --> 00:19:14,990 +cell TS can contribute to autoimmune diseaseهي + +226 +00:19:14,990 --> 00:19:22,750 +طبعا ت اسم شايفينها هي T suppressor cell which can + +227 +00:19:22,750 --> 00:19:27,330 +suppress the activity of both CD4 and CD8 فطبعا + +228 +00:19:27,330 --> 00:19:31,840 +غيابها هيأدى الى cell related immunity بكثرةwhich + +229 +00:19:31,840 --> 00:19:35,080 +can lead to autoimmune disease يعني يشتغل كتير + +230 +00:19:35,080 --> 00:19:37,980 +وبالتالي بتغلط كتير وبالتالي بيصير فيه autoimmune + +231 +00:19:37,980 --> 00:19:41,300 +disease الناس اللي عندهم diabetes وعندهم + +232 +00:19:41,300 --> 00:19:46,080 +inflammatory bowel syndrome أيضا عندهم قلة في ال + +233 +00:19:46,080 --> 00:19:51,680 +TS cell ناخد + +234 +00:19:51,680 --> 00:19:56,660 +أمثلة على ال autoimmune disease وطبعا نبدأ بال + +235 +00:19:57,940 --> 00:20:04,020 +أمثلة أو الأمراض اللي بيكون ال antibody له دور + +236 +00:20:04,020 --> 00:20:13,000 +أساسي في ال organ damage و أشهرها هذه أو بداية + +237 +00:20:13,000 --> 00:20:16,720 +نبدأ بال autoimmune hemolytic anemia كلنا بنعرف + +238 +00:20:16,720 --> 00:20:20,860 +انه بيتكون auto antibody against RBCs antigen + +239 +00:20:20,860 --> 00:20:25,700 +وبالتالي بيصير فيه قلة في عدد ال RBCs لأنها بتتكسر + +240 +00:20:26,980 --> 00:20:31,480 +والتكسير هبتم من خلال two mechanism الأولاني من + +241 +00:20:31,480 --> 00:20:36,100 +خلال activation of complement cascade كاملا يعني + +242 +00:20:36,100 --> 00:20:42,000 +للآخر ومحصلته eventual license of the cell وهذا + +243 +00:20:42,000 --> 00:20:47,840 +غالبا بنشوف hemoglobin or urea بوضوح عند المريض + +244 +00:20:47,840 --> 00:20:53,260 +ميكانيزم التاني هو انه يصير فيه optionization من + +245 +00:20:53,260 --> 00:21:00,290 +خلالأو الـ C3P على سطح الـ RBCs وهؤلاء لديهم + +246 +00:21:00,290 --> 00:21:03,570 +ريسبتور على سطح الماكروفيجي الموجودة في الـ + +247 +00:21:03,570 --> 00:21:06,670 +reticulum nucleus system يعني في الـSpleen + +248 +00:21:06,670 --> 00:21:10,930 +وبالتالي أول ما تصل سيحصل فيه Antibody-coated RBCs + +249 +00:21:10,930 --> 00:21:17,550 +recognition أو complement-coated RBCs recognition + +250 +00:21:17,550 --> 00:21:21,850 +والمحصلة فالبوصيتوسيز وdestruction of the cell + +251 +00:21:24,650 --> 00:21:28,630 +كان الانتيبادي المسئول عن الـ autoimmunohepatic + +252 +00:21:28,630 --> 00:21:33,610 +anemia يتم مقاطعه إلى اتجارات اتجارية اتجارية + +253 +00:21:33,610 --> 00:21:35,170 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +254 +00:21:35,170 --> 00:21:37,310 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +255 +00:21:37,310 --> 00:21:38,850 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +256 +00:21:38,850 --> 00:21:39,590 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +257 +00:21:39,590 --> 00:21:40,050 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +258 +00:21:40,050 --> 00:21:48,030 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجار + +259 +00:21:48,670 --> 00:21:52,850 +غالبا بيرتبطوا مع ال RBCs فقط لما تكون درجة + +260 +00:21:52,850 --> 00:21:57,170 +الحرارة اقل من سبعة وتلاتين درجة ميخوية و بيفكوا + +261 +00:21:57,170 --> 00:22:01,770 +يعني بيسيبوا ال RBCs يوم ترتفع درجة الحرارة they + +262 +00:22:01,770 --> 00:22:05,390 +are IGM type and they are highly efficient in + +263 +00:22:05,390 --> 00:22:09,430 +activating complement وبالتالي المحاصلة licenses + +264 +00:22:09,430 --> 00:22:10,470 +of RBCs + +265 +00:22:12,920 --> 00:22:16,220 +الواجهة دلوقت ايضا جهوتك انيما يمكن أن تكون اندوزت + +266 +00:22:16,220 --> 00:22:21,460 +ببعض الدراجات مثل البنسيلين والألفا مثال دوربا + +267 +00:22:21,460 --> 00:22:28,780 +وبعض المرات بنلاقي cold antibody تكونت بعد انفكاش + +268 +00:22:28,780 --> 00:22:36,340 +مع نومونيا أو بعض الويروس المرض + +269 +00:22:36,340 --> 00:22:41,950 +التاني هو myasemia gravisطبعا في هذا الحالة ال + +270 +00:22:41,950 --> 00:22:48,330 +target self-antigen هو ال Acetylcholine ريسبتور و + +271 +00:22:48,330 --> 00:22:52,950 +طبعا في هذا الحالة موجود على ال neuromuscular + +272 +00:22:52,950 --> 00:22:56,970 +junction هو ال Acetylcholine محتوى ال + +273 +00:22:56,970 --> 00:23:00,270 +neuromuscular junction و بالتالي موجود على ال + +274 +00:23:00,270 --> 00:23:04,190 +muscle cell و بالتالي ال auto-antibody اللي بيتكون + +275 +00:23:04,190 --> 00:23:08,080 +بلعب دور كبير as antagonistبعمل Blocking للـ + +276 +00:23:08,080 --> 00:23:11,440 +Acetylcholine Receptor فلما بيجي ال Acetylcholine + +277 +00:23:11,440 --> 00:23:16,810 +يشتغل بيلاقي ال Receptor مشغول وبالتاليما بيصير + +278 +00:23:16,810 --> 00:23:23,570 +فيه neuromuscular junction يعني ما بيصير فيه + +279 +00:23:23,570 --> 00:23:28,070 +muscle function وبالتالي بيصير فيه weakness وطبعا + +280 +00:23:28,070 --> 00:23:33,850 +هذه محصلتها طبعا من مظاهرها و بيصير difficulty in + +281 +00:23:33,850 --> 00:23:38,510 +chewing , swallowing و breathing و في النهاية + +282 +00:23:38,510 --> 00:23:42,010 +بيصير فيه respiratory failure and death + +283 +00:23:44,940 --> 00:23:52,100 +العنوان يبدو انه مرتبط بالـ Thymus المركولات + +284 +00:23:52,100 --> 00:23:57,440 +المتعاملة مع الاسيتركوليريسبتر موجودة في العديد من + +285 +00:23:57,440 --> 00:24:02,440 +الأجسام في الـ Thymus مثل الـ Thymocytes و الـ + +286 +00:24:02,440 --> 00:24:07,300 +Epithelial cells وهي + +287 +00:24:07,300 --> 00:24:12,560 +طبعا هي صورة واضحة جدا الانتبادي ماشي + +288 +00:24:14,400 --> 00:24:28,100 +أيش عملت في هذه الحالة؟ عملت Blocking للـ Receptor + +289 +00:24:28,100 --> 00:24:30,480 +لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش + +290 +00:24:30,480 --> 00:24:30,520 +لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش + +291 +00:24:30,520 --> 00:24:35,720 +لإيش لإيش لإيش لإيش لإيش + +292 +00:24:35,720 --> 00:24:36,500 +لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش + +293 +00:24:36,500 --> 00:24:41,240 +لإيش لإيش لإيش لإيش لإيش + +294 +00:24:41,240 --> 00:24:42,000 +لإ + +295 +00:24:44,510 --> 00:24:47,250 +في الـ Graves Disease الـ Antibody is stimulating + +296 +00:24:47,250 --> 00:24:50,610 +هنا الـ Antibody is inhibiting Antibody هنا + +297 +00:24:50,610 --> 00:24:54,930 +Stimulating Antibody بلعب دره كبير از ممسك في TSH + +298 +00:24:54,930 --> 00:25:00,650 +Receptor و TSH من احنا بنعرف انه ايش و مقوم بدوره + +299 +00:25:00,650 --> 00:25:04,410 +طبعا بنعرف انه بعمل activating للthyroid follicle + +300 +00:25:04,410 --> 00:25:09,010 +و بتطلع انها thyroid hormone فبالتالي محصلة اللي + +301 +00:25:09,010 --> 00:25:15,330 +هو ال Graves Disease هو Hyperthyroidismماشي ندى + +302 +00:25:15,330 --> 00:25:21,310 +تحقق نشوف ايه disease وقولنا هي hyperthyroidism + +303 +00:25:21,310 --> 00:25:27,870 +antibody directed against a hormone receptor اللى + +304 +00:25:27,870 --> 00:25:34,290 +بيعمل على تمشيت ال receptor وبالتالي المحصلة طبعا + +305 +00:25:34,290 --> 00:25:37,830 +ال hormone هو thyroid stimulating hormoneو ال + +306 +00:25:37,830 --> 00:25:44,630 +interaction بيؤدي الى اللى هو نشاط الغدى لأنه + +307 +00:25:44,630 --> 00:25:50,490 +اتبعه ك agonist و محصلته طبعا hypertheresis + +308 +00:25:50,490 --> 00:25:59,250 +الأسئلة E برضه autoimmune disease مشهور باسم Red + +309 +00:25:59,250 --> 00:26:05,930 +wolf اللى هو الذئب الحمراء طبعا نتيجة ال reddish + +310 +00:26:06,300 --> 00:26:11,360 +facial rash اللى موجودة على ال cheeks ودى غالبا + +311 +00:26:11,360 --> 00:26:18,380 +بتعتبر yearly symptoms في هذه الحالة ال disease + +312 +00:26:18,380 --> 00:26:23,940 +طبعا attacks many organs of the body وبيسبب fever, + +313 +00:26:24,100 --> 00:26:26,900 +joint pain, damage to the central nervous system, + +314 +00:26:27,220 --> 00:26:31,920 +to the heart, to the kidney وبالتالي كل عضة الجسم + +315 +00:26:31,920 --> 00:26:36,570 +ممكن سلحة damageوحصلته طبعا وفاة في النهاية + +316 +00:26:36,570 --> 00:26:42,350 +المشكلة في هذا المرض انه there is not a systemic + +317 +00:26:42,350 --> 00:26:47,030 +pathway يعني مافيش طريق يعني يعني مش كل مرة المرض + +318 +00:26:47,030 --> 00:26:54,910 +بيسلك نفس التسلسل في اللي هو تخريب حضار الجسم + +319 +00:26:54,910 --> 00:26:58,970 +أسألي patient produce antibodies against several + +320 +00:26:58,970 --> 00:27:02,490 +nuclear components منها ال antinuclear antibody + +321 +00:27:03,020 --> 00:27:08,620 +هؤلاء أيضًا مصادر ضد الـ Denaturated Single + +322 +00:27:08,620 --> 00:27:17,620 +-Stranded DNA وضد نيكليوهيستوز الـ Anti-Double + +323 +00:27:17,620 --> 00:27:24,440 +-Stranded DNA طبعًا + +324 +00:27:24,440 --> 00:27:27,460 +بنشوفه بكثرة في الناس اللي عندهم خلال فرينة ال + +325 +00:27:27,460 --> 00:27:34,170 +involvement في الأسئلة Eالإيجي أم الأنتيبوديات + +326 +00:27:34,170 --> 00:27:37,550 +تنتج من أجل الـ Single-Strand DNA يمكنها أن تتعامل + +327 +00:27:37,550 --> 00:27:42,490 +مع تغيير إيزوتيبي لتنتج إيجي جي عالي افينيتي الـ + +328 +00:27:42,490 --> 00:27:48,490 +Double-Strand DNA يتعامل .. يتعامل .. يتعامل .. + +329 +00:27:48,490 --> 00:27:49,910 +يتعامل .. يتعامل .. يتعامل .. يتعامل .. يتعامل .. + +330 +00:27:49,910 --> 00:27:51,630 +يتعامل .. يتعامل .. يتعامل .. يتعامل .. يتعامل .. + +331 +00:27:51,630 --> 00:27:54,770 +يتعامل .. يتعامل .. يتعامل .. يتعامل .. يتعامل .. + +332 +00:27:54,770 --> 00:27:56,470 +يتعامل .. يتعامل .. + +333 +00:28:00,190 --> 00:28:05,350 +Trapping of IgG Antibody or Anti-Double-Stranded + +334 +00:28:05,350 --> 00:28:11,990 +DNA بيؤدى لتكوين Immune Complexes فى الglomerulus + +335 +00:28:11,990 --> 00:28:18,690 +وطبعا هذا بيؤدى لتنشيط ال complement وبعمل + +336 +00:28:18,690 --> 00:28:24,910 +recruitment للgranulocytes ومحصلة رينال دامج Anti + +337 +00:28:24,910 --> 00:28:27,970 +-Double-Stranded DNA Antibody بي cross-react + +338 +00:28:27,970 --> 00:28:33,660 +للglomerulوهي طبعا زي ال extent of inflammatory + +339 +00:28:33,660 --> 00:28:41,480 +reaction بتعتمد على او هي من يحدد severity of + +340 +00:28:41,480 --> 00:28:45,820 +kidney pathology المحصلة + +341 +00:28:45,820 --> 00:28:48,840 +اللي قلناه glomerulonephritis و ال severity طبعا + +342 +00:28:48,840 --> 00:28:53,580 +بتؤدي الى leakage of protein من ال blood من ال + +343 +00:28:53,580 --> 00:29:00,740 +kidneyوكل ما صارت الحالة chronic Inflammatory CD4 + +344 +00:29:00,740 --> 00:29:06,200 +اللى دى البروان اللى هتنشطلنا ال macro phage و ال + +345 +00:29:06,200 --> 00:29:10,600 +can attract monocytes ال macro phage وبالتالي هذا + +346 +00:29:10,600 --> 00:29:17,140 +بيؤدي الى pathological lesion وrenal failure أسئلة + +347 +00:29:17,140 --> 00:29:21,360 +كمان ممكن تنتج نتيجة ال exposure to some common + +348 +00:29:21,360 --> 00:29:26,110 +environmental factor زى ال ultraviolet lightهورمون + +349 +00:29:26,110 --> 00:29:30,050 +وانفكسيوز ايجانز يعني مش تعمل بقى فيروس وكلهم بلعب + +350 +00:29:30,050 --> 00:29:38,710 +دور في ال etiology of disease يعني + +351 +00:29:38,710 --> 00:29:44,670 +you can cross react with nuclear antigen induction + +352 +00:29:44,670 --> 00:29:51,030 +ايضا by drugs زي ال penicillamine كلورو برمازين + +353 +00:29:51,030 --> 00:29:57,110 +هيدرازينالشيء اللي يحدث هو أن مصادر الانترنكليات + +354 +00:29:57,110 --> 00:30:01,430 +تنتج مصادر الانترنكليات لشخص واحد.في الغرب، + +355 +00:30:01,430 --> 00:30:02,170 +المصادر اللي تدفعها للمصادر اللي تدفعها للمصادر + +356 +00:30:02,170 --> 00:30:03,170 +اللي تدفعها للمصادر اللي تدفعها للمصادر اللي + +357 +00:30:03,170 --> 00:30:06,790 +تدفعها للمصادر اللي تدفعها للمصادر اللي تدفعها + +358 +00:30:06,790 --> 00:30:08,710 +للمصادر اللي تدفعها للمصادر اللي تدفعها للمصادر + +359 +00:30:08,710 --> 00:30:12,710 +اللي تدفعها للمصادر اللي تدفعها للمصادر اللي + +360 +00:30:12,710 --> 00:30:15,650 +تدفعها للمصادر اللي تدفعها للمصادر اللي تدفعها + +361 +00:30:15,650 --> 00:30:21,690 +للمصادر الليبنجي لنوع تاني من ال autoimmune + +362 +00:30:21,690 --> 00:30:25,890 +disease اللي بيكون في تيلينفوسايت العبدالكبير in + +363 +00:30:25,890 --> 00:30:31,810 +organ damage ونحكي على multiple sclerosis في ال + +364 +00:30:31,810 --> 00:30:39,070 +multiple sclerosis اللي بيصير في demelanization of + +365 +00:30:39,070 --> 00:30:45,050 +central nervous system tissue بينهري + +366 +00:30:45,050 --> 00:30:52,600 +الميلانينشيت واحدة بيقدي إليهاrelapse or limiting + +367 +00:30:52,600 --> 00:30:57,600 +or progressive paralytic course يعني بحصلها في + +368 +00:30:57,600 --> 00:31:03,100 +الغالب شلل للبريد لأن الـ melanin sheet هي + +369 +00:31:03,100 --> 00:31:10,380 +المسئولة عن الـ neurotransmitter نيرو سيجال it's + +370 +00:31:10,380 --> 00:31:13,240 +considered to be a T cell mediated autoimmune + +371 +00:31:13,240 --> 00:31:17,980 +disease واللي بيصير في cellular infiltrate + +372 +00:31:17,980 --> 00:31:21,010 +associated with T البردوانوDelete type of + +373 +00:31:21,010 --> 00:31:27,490 +sensitivity mechanism class two أمدشي موليكيول + +374 +00:31:27,490 --> 00:31:35,570 +بيلعب دور كبير في ال disease susceptibility الرابط + +375 +00:31:35,570 --> 00:31:38,390 +يعني اللي هو type one insulin diabetes mellitus + +376 +00:31:38,390 --> 00:31:44,710 +insulin dependent diabetes mellitus مجرد chronic + +377 +00:31:44,710 --> 00:31:48,670 +inflammatory destruction لل beta cell + +378 +00:31:50,840 --> 00:31:55,160 +في البنكرياس وهي عبارة عن insulin producing beta + +379 +00:31:55,160 --> 00:32:02,060 +islet cell of البنكرياس وطبعا المسئول المباشر في + +380 +00:32:02,060 --> 00:32:05,340 +هذا الموضوع هو cytotoxic T cell اللي بتوهاجم هذه + +381 +00:32:05,340 --> 00:32:13,420 +الخلايا فيولود cytokine والمهوء ايضا بتؤدي الى + +382 +00:32:13,420 --> 00:32:18,080 +antibody production بتوهاجم الخلايا + +383 +00:32:28,320 --> 00:32:34,580 +النسبة للهيبلو تايب الهيبلو + +384 +00:32:34,580 --> 00:32:39,140 +تايب الهيبلو + +385 +00:32:39,140 --> 00:32:41,700 +تايب الهيبلو تايب الهيبلو تايب الهيبلو تايب + +386 +00:32:41,700 --> 00:32:41,980 +الهيبلو تايب الهيبلو تايب الهيبلو تايب الهيبلو + +387 +00:32:41,980 --> 00:32:42,040 +تايب الهيبلو تايب الهيبلو تايب الهيبلو تايب + +388 +00:32:42,040 --> 00:32:42,240 +الهيبلو تايب الهيبلو تايب الهيبلو تايب الهيبلو + +389 +00:32:42,240 --> 00:32:44,580 +تايب الهيبلو تايب الهيبلو تايب الهيبلو تايبووجد ان + +390 +00:32:44,580 --> 00:32:47,880 +50% من Insulin Dependent طبيبية اسمه latest + +391 +00:32:47,880 --> 00:32:54,320 +patient عندهم HLA-DR3 أربعة هيتيروزايدز positive و + +392 +00:32:54,320 --> 00:33:02,660 +individual with HLA-DQP1 اللي هو 0602 rarely + +393 +00:33:02,660 --> 00:33:07,520 +develop the disease Hashimoto's + +394 +00:33:07,520 --> 00:33:14,360 +thyroiditis موجود في ال middle aged womenبيؤدي لـ + +395 +00:33:14,360 --> 00:33:20,140 +Formation of Goiter وطبعا المحصلة Atrophy of the + +396 +00:33:20,140 --> 00:33:24,020 +thyroid gland اللي بيؤدي في النهاية لـ + +397 +00:33:24,020 --> 00:33:27,400 +Hypothyroidism و Destruction of the thyroid + +398 +00:33:27,400 --> 00:33:34,040 +function غالبا المرض associated with T cell لكن ال + +399 +00:33:34,040 --> 00:33:39,920 +antibody بتلعب دوري كبير في المرض Target antigen + +400 +00:33:39,920 --> 00:33:44,190 +include thyroblobulinميكروزومال انتيجين من الـ + +401 +00:33:44,190 --> 00:33:48,530 +Thyroid Epithelial Cell وانتيبادي هذه الانتيجين تم + +402 +00:33:48,530 --> 00:33:55,450 +إكتشافها. انفلترايش من بي سل ونو نوكليار بي سل ونو + +403 +00:33:55,450 --> 00:34:00,050 +نوكليار تسل وميكروفيل يؤدي إلى الانتقال وإدماج من + +404 +00:34:00,050 --> 00:34:06,310 +الثيرويد الفوليكل وبالتالي الجلد يحاول الانتقال + +405 +00:34:06,310 --> 00:34:11,640 +ويصبح كبيرًا ردت الفعل الطبيعيةإنه تعمل + +406 +00:34:11,640 --> 00:34:16,940 +Regeneration وبالتالي تبدأ تكبر when distraction + +407 +00:34:16,940 --> 00:34:23,380 +continue symptoms of hypothyroidism appear مثال + +408 +00:34:23,380 --> 00:34:29,000 +آخر when I had arthritis chronically inflamed + +409 +00:34:29,000 --> 00:34:37,010 +synovium وبصير فيه densely crowded with lymphocyte + +410 +00:34:37,010 --> 00:34:43,690 +محصلة destruction of the cartilage and bone طبعا + +411 +00:34:43,690 --> 00:34:49,710 +Sinovium is densely packed with dendritic cell, + +412 +00:34:49,810 --> 00:34:53,890 +macrophage, T cell, B cell, NK cell and clumps of + +413 +00:34:53,890 --> 00:34:57,790 +plasma cell وفي بعض الأحيان بصير فيه secondary + +414 +00:34:57,790 --> 00:35:04,620 +folliclePathology هو عبارة عن محصلة + +415 +00:35:04,620 --> 00:35:08,240 +لـ mixture of immunopathological mechanism خصوصا + +416 +00:35:08,240 --> 00:35:11,680 +انتجل انتبادي Complexes Formation Complement + +417 +00:35:11,680 --> 00:35:16,610 +Activity Polymorphic Nuclear Infiltrationو الـ + +418 +00:35:16,610 --> 00:35:21,230 +inflammatory CD4 و الـ CD8 و الـ cytotoxic T + +419 +00:35:21,230 --> 00:35:25,870 +-lymphocyte مع الـ activated macrophage و الـ unk + +420 +00:35:25,870 --> 00:35:29,890 +cell و الـ cell-mediated immunity كلها ابتدال عن + +421 +00:35:29,890 --> 00:35:30,150 +دول + +422 +00:35:35,260 --> 00:35:38,900 +A variety of cytokines كلهم عبارة عن خلايا ملاعية + +423 +00:35:38,900 --> 00:35:43,020 +كلهم بيفرجوا cytokine أشهر هذا ال cytokine human + +424 +00:35:43,020 --> 00:35:47,720 +necrosis factor alpha و IL-1 و degradative enzymes + +425 +00:35:47,720 --> 00:35:52,380 +و بعض ال mediators that destroy the integrity of + +426 +00:35:52,380 --> 00:35:57,840 +cartilage Chondrocytes السللة of cartilage طبعا + +427 +00:35:57,840 --> 00:36:02,360 +become exposed to the immune system سنويا الفلود + +428 +00:36:02,360 --> 00:36:07,690 +في الغالببتجمع في جوانت الـ Arthritis روماتوية + +429 +00:36:07,690 --> 00:36:13,330 +وبيحتوي على عدد كبير من Polymorphic Nuclear Cell + +430 +00:36:13,330 --> 00:36:23,170 +.الفيبرين + +431 +00:36:23,170 --> 00:36:28,390 +تم تدبّقه و يتم تدبّقه بالفيبراستيشو و جوانت + +432 +00:36:28,390 --> 00:36:30,290 +انكلوز + +433 +00:36:36,600 --> 00:36:46,060 +IgM روماتويد فاكتور محدود لتحتيك على قطعة Fc + +434 +00:36:46,060 --> 00:37:01,280 +للطبيعي على مولكولة IgG روماتويد + +435 +00:37:01,280 --> 00:37:09,770 +فاكتور مفيدof disease activity وغالبا + +436 +00:37:09,770 --> 00:37:15,590 +وجدوه بيصلوا remission during بيصير فيه low level + +437 +00:37:15,590 --> 00:37:22,270 +during remission مثال الأخير اظن ان ال autoimmune + +438 +00:37:22,270 --> 00:37:28,620 +disease اللي ناتج عنكمبلمنت كمبلمنت كمبلمنت + +439 +00:37:28,620 --> 00:37:33,700 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +440 +00:37:33,700 --> 00:37:35,840 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +441 +00:37:35,840 --> 00:37:41,820 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +442 +00:37:41,820 --> 00:37:41,880 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +443 +00:37:41,880 --> 00:37:42,360 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +444 +00:37:42,360 --> 00:37:51,720 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +445 +00:37:51,950 --> 00:37:55,510 +Complement Clearance Mechanism as in Serum + +446 +00:37:55,510 --> 00:38:00,750 +Sickness يعني ما بيصلها Clearance Deficiency in + +447 +00:38:00,750 --> 00:38:06,190 +complement 4 بيقصد تلاتة بيؤدي للفيلير to clear + +448 +00:38:06,190 --> 00:38:11,770 +immune complexes by macrophage أسأل إيه بيصير أكتر + +449 +00:38:11,770 --> 00:38:14,530 +من 80% من ال individual عندهم complement + +450 +00:38:14,530 --> 00:38:17,930 +deficiency of C1 وC4 وC2 + +451 +00:38:21,850 --> 00:38:26,150 +ترابيوتيك استراتيجيز شو بعتوا في هذه الحالة؟ بعتوا + +452 +00:38:26,150 --> 00:38:29,470 +سايترو توكسيك دراجات زي الـ cyclophosphamide و + +453 +00:38:29,470 --> 00:38:36,060 +الاذاثيابرينهؤلاء يهاجمون DNA ريبليكيشن ويهاجمون + +454 +00:38:36,060 --> 00:38:43,780 +بشكل اقصر جسم البطالة بشكل اقصر بشكل اقصر بشكل + +455 +00:38:43,780 --> 00:38:44,420 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +456 +00:38:44,420 --> 00:38:47,100 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +457 +00:38:47,100 --> 00:38:47,140 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +458 +00:38:47,140 --> 00:38:47,220 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +459 +00:38:47,220 --> 00:38:55,540 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +460 +00:38:55,540 --> 00:39:02,200 +اانتسايتوكاين ثيرابي بلقت او tumor necrosis factor + +461 +00:39:02,200 --> 00:39:06,060 +alpha by antibody or soluble receptor for + +462 +00:39:06,060 --> 00:39:10,580 +rheumatoid arthritis.Inhibition of IL-1 beta by + +463 +00:39:10,580 --> 00:39:16,360 +soluble receptor also seem a useful strategy in + +464 +00:39:16,360 --> 00:39:22,280 +rheumatoid arthritis.These immunomodulatory agents + +465 +00:39:23,780 --> 00:39:27,020 +تمنحنا انفلامات ردودة طبعا إذا عملنا Blockage + +466 +00:39:27,020 --> 00:39:33,680 +للعيال وان بيتا بنوقف نشاطه الانترفيروم بيتا هو + +467 +00:39:33,680 --> 00:39:38,400 +استخدام للتعامل مع عديد من الاسكلوروسيز من خلال + +468 +00:39:38,400 --> 00:39:44,820 +الانتيبادي الى CD3 برضه فحصوه كويس في ال + +469 +00:39:44,820 --> 00:39:51,180 +autoimmune diabetes كوستيمولاتري Blockage زي ال + +470 +00:39:52,450 --> 00:39:56,170 +طبعاً بي سبن سي دي تواني ات بلاكيش أبير تبقى + +471 +00:39:56,170 --> 00:40:00,830 +promising روماتويدارتراتيز and psoriasis بلطق + +472 +00:40:00,830 --> 00:40:06,610 +ببتعد that bind to MHC group but not capable of + +473 +00:40:06,610 --> 00:40:11,230 +activating a given T cell have been used to induce + +474 +00:40:11,230 --> 00:40:17,010 +tolerance in rodent modelيعني دخلوا بيبتايد ترتبط + +475 +00:40:17,010 --> 00:40:20,590 +بال-MHC موليكيوله وبالتالي خلاص مشغول مافيش + +476 +00:40:20,590 --> 00:40:26,190 +إمكانية أنه يعمل الخلايا تعمل Antigen Presentation + +477 +00:40:26,190 --> 00:40:31,410 +T cell receptor have been administered to patients + +478 +00:40:31,410 --> 00:40:38,310 +as an immunogen in an effort to raise a clonotype + +479 +00:40:38,310 --> 00:40:41,270 +specific cytotoxic T cell + +480 +00:40:44,980 --> 00:40:52,700 +يعني هنا دخلوا Receptor وحصلته انه اعتبار الجسد + +481 +00:40:52,700 --> 00:40:57,220 +كميونوجين وطبعا نشرت لنا site toxic T lymphocyte + +482 +00:40:57,220 --> 00:41:02,900 +اللي عملت destruction لل cells generation of T + +483 +00:41:02,900 --> 00:41:07,460 +subresource cell in autoimmune individual برضه هذا + +484 +00:41:07,460 --> 00:41:14,350 +عبارة عن علاج طبعا هي ال autoimmune diseaseو الـ + +485 +00:41:14,350 --> 00:41:20,030 +MHC association with which الأليل commonly found + +486 +00:41:20,030 --> 00:41:25,830 +strength of association العلاقة بين الأمراض والـ + +487 +00:41:25,830 --> 00:41:31,610 +MHC جين والأليل اللي بتكون موجودة طبعاً هذا علاقة + +488 +00:41:31,610 --> 00:41:38,010 +مكتوبة strength أو weak يعني وجود الأليل اللي تبع + +489 +00:41:38,010 --> 00:41:44,660 +الـ MHC molecule ماشي بهذه الأقامبيأدى الى ان + +490 +00:41:44,660 --> 00:41:49,040 +المرض يصير high risk of age inducing such diseases + +491 +00:41:49,040 --> 00:41:54,740 +انا + +492 +00:41:54,740 --> 00:41:57,780 +ال auto immune disease و ال auto antigen اللى + +493 +00:41:57,780 --> 00:42:05,920 +بيسموه مهاجمة و مين اللى بتهاجمه مين + +494 +00:42:05,920 --> 00:42:14,640 +اللى بتهاجمه وبهك نكون انهينا المحاضرةمشكرين + +495 +00:42:14,640 --> 00:42:15,480 +بالمتابعة + diff --git 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تنتج من نتيجة استريبتو كوكال انفكشن يعني لو في بعض ال cross reactivity في الستريبتو كوكال", "tokens": [3224, 2407, 3714, 33604, 4117, 3215, 16472, 3224, 7251, 25957, 1211, 12602, 12610, 8978, 34892, 20498, 9307, 1829, 4117, 6156, 33911, 2288, 12602, 20498, 9307, 1829, 4117, 6156, 33911, 2288, 45595, 20498, 6055, 30544, 6055, 29399, 7435, 9154, 8717, 31371, 7435, 3660, 44713, 2288, 1829, 3555, 2655, 2407, 9122, 2407, 4117, 6027, 16472, 5172, 4117, 8592, 1863, 37495, 22653, 45164, 8978, 45030, 11242, 2423, 3278, 4515, 4253, 8978, 2423, 14851, 2288, 1829, 3555, 2655, 2407, 9122, 2407, 4117, 6027], "avg_logprob": -0.619140637665987, "compression_ratio": 1.7236842105263157, "no_speech_prob": 0.0, "words": [{"start": 712.85, "end": 713.21, "word": "هو", "probability": 0.376617431640625}, {"start": 713.21, "end": 713.59, "word": " مؤكد", "probability": 0.476043701171875}, {"start": 713.59, "end": 713.83, "word": " انه", "probability": 0.534423828125}, {"start": 713.83, "end": 714.05, "word": 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بتهاجمه مين اللى بتهاجمه وبهك نكون انهينا المحاضرة", "tokens": [21292, 10721, 3215, 7578, 2423, 7578, 16472, 9673, 43042, 7251, 9381, 13546, 1090, 3148, 295, 3205, 13716, 2175, 1270, 11044, 1975, 8315, 2423, 8399, 11992, 4752, 4032, 2423, 8399, 2511, 3213, 13672, 7578, 4724, 1829, 38251, 2407, 3224, 3714, 3224, 26108, 46007, 4032, 3714, 9957, 13672, 7578, 39894, 3224, 26108, 2304, 3224, 3714, 9957, 13672, 7578, 39894, 3224, 26108, 2304, 3224, 46599, 3224, 4117, 8717, 30544, 16472, 3224, 1829, 8315, 9673, 5016, 46958, 25720], "avg_logprob": -0.2822916555404663, "compression_ratio": 1.654970760233918, "no_speech_prob": 0.0, "words": [{"start": 2503.34, "end": 2504.18, "word": "بيأدى", "probability": 0.432373046875}, {"start": 2504.18, "end": 2504.46, "word": " الى", "probability": 0.624755859375}, {"start": 2504.46, "end": 2504.66, "word": " ان", "probability": 0.8076171875}, {"start": 2504.66, "end": 2505.26, "word": " المرض", "probability": 0.904541015625}, {"start": 2505.26, "end": 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0.97607421875}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 2541.8884375, "duration_after_vad": 2418.44312499999} \ No newline at end of file diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/dR8u2iQjrs4_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/dR8u2iQjrs4_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..beb5a3f4c7148947688672f2dd4b9e0396747416 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/dR8u2iQjrs4_raw.srt @@ -0,0 +1,1992 @@ +1 +00:00:01,580 --> 00:00:06,500 +بسم الله الرحمن الرحيم عنوان محاضرتنا اليوم + +2 +00:00:06,500 --> 00:00:13,180 +autoimmunity and disease ال autoimmunity هو عبر + +3 +00:00:13,180 --> 00:00:16,540 +انحاء لمرضية تنشأ يوم ما يصير فيه breakdown to + +4 +00:00:16,540 --> 00:00:17,360 +self tolerance + +5 +00:00:24,590 --> 00:00:28,070 +الـ .. طبعا ال consequences of autoimmune disease + +6 +00:00:28,070 --> 00:00:31,570 +بتعتمد على جدش صار فيه خلال في ال self-tolerance + +7 +00:00:31,570 --> 00:00:34,970 +المفروض + +8 +00:00:34,970 --> 00:00:38,950 +أنه قبل ما نبدأ نفرق ما بين مصطلحين بين autoimmune + +9 +00:00:38,950 --> 00:00:41,390 +response و autoimmune disease طبعا ال autoimmune + +10 +00:00:41,390 --> 00:00:43,890 +disease عم نحكي عنها ان شاء الله autoimmune + +11 +00:00:43,890 --> 00:00:47,090 +response بتعني ان في recognition of self-antigen + +12 +00:01:04,800 --> 00:01:11,660 +مرة تانية نبدأ بسم الله اليوم محاضرتنا بعنوان + +13 +00:01:11,660 --> 00:01:15,880 +autoimmunity and disease ال autoimmune disease هي + +14 +00:01:15,880 --> 00:01:20,470 +تعريفا هي عبارة عن breakdown of self toleranceو + +15 +00:01:20,470 --> 00:01:25,010 +تبعات هذه الحالات المرضية بتعتمد جدش صار فيه خلل + +16 +00:01:25,010 --> 00:01:29,130 +في ال self-tolerance وبالتالي بيصير في severity of + +17 +00:01:29,130 --> 00:01:33,590 +disease في + +18 +00:01:33,590 --> 00:01:38,450 +البداية قبل ما نبدأ في هذا الموضوع بس بدنا نفرق ما + +19 +00:01:38,450 --> 00:01:42,870 +بين two terms واحد اللي هو ال autoimmune response + +20 +00:01:42,870 --> 00:01:45,590 +و autoimmune disease autoimmune disease ان شاء + +21 +00:01:45,590 --> 00:01:48,790 +الله هنحكي فيها التفصيل ده ال autoimmune responses + +22 +00:01:49,300 --> 00:01:54,240 +بتعني انه في recognition of self-antigen أدى الى + +23 +00:01:54,240 --> 00:01:59,540 +pathological consequences وبالتالي من خلال الإفراز + +24 +00:01:59,540 --> 00:02:02,940 +طبعا تكوين اما antibody او complement activation + +25 +00:02:02,940 --> 00:02:06,880 +او immune complexes formation and cell-mediated + +26 +00:02:06,880 --> 00:02:07,460 +immunity + +27 +00:02:13,700 --> 00:02:19,640 +causes of autoimmune disease طبعا أشهر هذه الأسباب + +28 +00:02:19,640 --> 00:02:23,400 +هو ال genetic susceptibility و طبعا لاحظوها من + +29 +00:02:23,400 --> 00:02:26,900 +خلال ال high incidence of autoimmune disease في ال + +30 +00:02:26,900 --> 00:02:31,840 +monozygotic twins و طبعا في نسبة أقل في الizygotic + +31 +00:02:31,840 --> 00:02:37,870 +and among family member إلا أنههذه ظاهرة موجودة و + +32 +00:02:37,870 --> 00:02:42,190 +بنعرف كتير من الحالات المرضية مشهورة في كثير من + +33 +00:02:42,190 --> 00:02:49,850 +عائلات البلد طبعا هذا بيتعلق في ال mode of + +34 +00:02:49,850 --> 00:02:54,830 +inheritance generally و لاحظوا ان الموضوع مش موضوع + +35 +00:02:54,830 --> 00:02:58,730 +gene واحد و انما عبارة عن polygenicبمعنى ان في + +36 +00:02:58,730 --> 00:03:06,550 +اكتر من individual gene has to be illicited to + +37 +00:03:06,550 --> 00:03:10,930 +form a disease من + +38 +00:03:10,930 --> 00:03:13,790 +اشهر الجينات اللي مرتبطة بال autoimmune disease + +39 +00:03:13,790 --> 00:03:18,130 +الـHLA complexes وطبعا + +40 +00:03:18,130 --> 00:03:20,590 +له علاقة مباشرة كتير من الأمراض اللي هي علاقة + +41 +00:03:20,590 --> 00:03:24,410 +مباشرة بالامسي الليل اللي + +42 +00:03:26,380 --> 00:03:31,800 +مرتبط بحالات مرضية معينة لكن هذا القليل وجوده + +43 +00:03:31,800 --> 00:03:34,960 +بيستلزم + +44 +00:03:34,960 --> 00:03:39,460 +it require other gene to cooperate او + +45 +00:03:39,460 --> 00:03:43,660 +environmental triggers ماشي يعني وجود ال gene + +46 +00:03:43,660 --> 00:03:48,600 +القليل هذا عند اي شخص معناته انه عنده high + +47 +00:03:48,600 --> 00:03:53,620 +incidence of this disease لكن to become a patient + +48 +00:03:53,620 --> 00:03:54,800 +he has + +49 +00:04:03,740 --> 00:04:08,600 +عشان يسير في حد هو ال autoimmune diseaseطبعا + +50 +00:04:08,600 --> 00:04:14,780 +الدراسات على ال mice اثبتت ان HLA gene can + +51 +00:04:14,780 --> 00:04:19,120 +interfere with many different pathway في ال + +52 +00:04:19,120 --> 00:04:24,440 +cellular function وبالتالي بتؤدي الى autoimmune + +53 +00:04:24,440 --> 00:04:29,740 +diseaseالعوامل التي تؤثر على ال autoimmune disease + +54 +00:04:29,740 --> 00:04:32,120 +قالوا ال over expression أو ال under expression of + +55 +00:04:32,120 --> 00:04:36,020 +جين و بالذات الجينات التي are involved in + +56 +00:04:36,020 --> 00:04:37,760 +apoptosis and cell survival + +57 +00:04:45,140 --> 00:04:46,120 +وطبيعي الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +58 +00:04:46,120 --> 00:04:46,860 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +59 +00:04:46,860 --> 00:04:50,020 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +60 +00:04:50,020 --> 00:04:54,620 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +61 +00:04:54,620 --> 00:04:58,460 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +62 +00:04:58,460 --> 00:05:01,100 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +63 +00:05:01,100 --> 00:05:07,420 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +64 +00:05:09,640 --> 00:05:13,020 +Deficiency in pro-apoptic molecules زي الفاس + +65 +00:05:13,020 --> 00:05:17,980 +والفاس ليغنت أو ال over expression of anti-apoptic + +66 +00:05:17,980 --> 00:05:23,640 +molecules زي ال PCL2 وهو دابر عن جين ب code for ال + +67 +00:05:23,640 --> 00:05:29,390 +protein ملعب دوري كبير في الapoptosisCan interfere + +68 +00:05:29,390 --> 00:05:36,350 +the apoptosis طبعا غيابهم بيؤدي الى dimension of + +69 +00:05:36,350 --> 00:05:40,430 +apoptosis وإذا صار في dimension of apoptosis بيصير + +70 +00:05:40,430 --> 00:05:45,630 +فيه زيادة في ال auto reactive B and T cell وهذا + +71 +00:05:45,630 --> 00:05:50,870 +بيؤدي الى auto antibody production وطبعا أشهر هذه + +72 +00:05:50,870 --> 00:05:56,870 +ال antibody هو ال antinuclear antibody ال T cell + +73 +00:05:58,200 --> 00:06:06,500 +ملاحظة اخرى تسل اوتو reactivity لجوها ايضا بتصير + +74 +00:06:06,500 --> 00:06:10,360 +as a result of expression of pro inflammatory + +75 +00:06:10,360 --> 00:06:17,550 +cytokine زي IL-10or excessive costimulation due to + +76 +00:06:17,550 --> 00:06:26,170 +overexpression of B7C28 و a deficiency of + +77 +00:06:26,170 --> 00:06:32,490 +inhibitor of costimulation reaction ماشي يبقى هذه + +78 +00:06:32,490 --> 00:06:41,720 +برضه لها علاقة بال auto reactive T cellايضا اللعب + +79 +00:06:41,720 --> 00:06:46,700 +في ال strength of signal transduction زي ما قلنا + +80 +00:06:46,700 --> 00:06:52,620 +انه اذا كان في صعب في under expression ل CD 22 او + +81 +00:06:52,620 --> 00:07:04,760 +over expression ل CD 19 ايضا + +82 +00:07:11,220 --> 00:07:16,920 +Enhanced T Cell Helps + +83 +00:07:16,920 --> 00:07:21,040 +Enhance + +84 +00:07:21,040 --> 00:07:25,140 +Expression Of CD4 To 40-Ligand ايضا Similarly + +85 +00:07:25,140 --> 00:07:33,400 +Leads To O2 Antibody Production ملاحظة اخرى ايضا + +86 +00:07:33,400 --> 00:07:36,500 +اللي علاقة بالـ O2 Immune Disease فهو Under + +87 +00:07:36,500 --> 00:07:39,900 +Expression Of Protein زي الـ Serum Amyloid Protein + +88 +00:07:40,350 --> 00:07:43,850 +وهذا بلعب دور كبير في ال clearance of apoptic + +89 +00:07:43,850 --> 00:07:46,650 +particles or decreased clearance of immune + +90 +00:07:46,650 --> 00:07:50,790 +complexes ناتجة عن deficiency of complement + +91 +00:07:50,790 --> 00:07:57,810 +component either c1q, c2, c3 or even c4 هم بيادوا + +92 +00:07:57,810 --> 00:08:00,230 +الدولة الى ال auto antibody production + +93 +00:08:08,330 --> 00:08:13,790 +مثال الحقيقي على هذا الكلام هو الـ Neurine Model + +94 +00:08:13,790 --> 00:08:21,710 +of Autoimmune Myocarditis which revealed that the + +95 +00:08:21,710 --> 00:08:26,210 +disease susceptibility and cardiac damage بتعتمد + +96 +00:08:26,210 --> 00:08:31,030 +علىStrain-specific cardiac myosin antigen + +97 +00:08:31,030 --> 00:08:36,110 +Accessibility والوضع اللي هو ال myosin انتجين في + +98 +00:08:36,110 --> 00:08:40,850 +ال cardiac tissue + +99 +00:08:40,850 --> 00:08:46,530 +Environmental susceptibility يعني فيه several + +100 +00:08:46,530 --> 00:08:49,090 +environmental factors either infectious or non + +101 +00:08:49,090 --> 00:08:53,120 +-infectious which can trigger autoimmunityكيف؟ + +102 +00:08:53,120 --> 00:08:56,180 +جاله by inducing release of sequestered antigen or + +103 +00:08:56,180 --> 00:08:59,620 +molecular mimicry او polyclonal activation وحنا + +104 +00:08:59,620 --> 00:09:03,180 +ناخد أمثلة على هذا الكلام فعلى سبيل المثال ال + +105 +00:09:03,180 --> 00:09:07,240 +autoimmune myocarditis وجدوا اللي هو علاقة مباشرة + +106 +00:09:07,240 --> 00:09:12,220 +بال myocardial infarction or cardiac ischemic + +107 +00:09:12,220 --> 00:09:16,160 +attack شو بيصير فيها؟ ال cardiac ischemic attack + +108 +00:09:16,160 --> 00:09:21,580 +بيصير فيه tissue damage لأ cardiac damageبالتالي + +109 +00:09:21,580 --> 00:09:25,940 +بيحصل فيه سيكوستر انتجين للكاردك مسلز بيقولوا انه + +110 +00:09:25,940 --> 00:09:29,600 +سبب ال autoimmune myocarditis هو نتج عناش ال + +111 +00:09:29,600 --> 00:09:32,780 +consequences of exposure to sequestered antigen + +112 +00:09:32,780 --> 00:09:39,440 +upon heart damage ايضا ال autoimmunity may also + +113 +00:09:39,440 --> 00:09:44,080 +arise when an antibodyor T cell specific for + +114 +00:09:44,080 --> 00:09:48,740 +microbial antigen cross react with self-antigen + +115 +00:09:48,740 --> 00:09:53,080 +المصطلح الكتير مشهور اللى هو molecular mimicry فى + +116 +00:09:53,080 --> 00:10:01,580 +تشابه ما بينيش foreign antigen مع self-antigen T + +117 +00:10:01,580 --> 00:10:08,760 +cell dependent self-antigen لا تستطيع أنها اتمشب + +118 +00:10:10,550 --> 00:10:17,790 +الـ B-cell في تكوين auto-antibody لأنه + +119 +00:10:17,790 --> 00:10:22,650 +there are no auto-reactive T-cell helper يعني احنا + +120 +00:10:22,650 --> 00:10:25,950 +ببساطة بيقول ان الـB لنفسها عيطش يوم ما تصعد في + +121 +00:10:25,950 --> 00:10:31,990 +فرن انتجين و تمشي به مابتقدرش تتنشط ليش؟ لأنه الـT + +122 +00:10:31,990 --> 00:10:39,020 +-cell مطلوبة عشان تنشطيعني مساعدة لا تتمشط إلا + +123 +00:10:39,020 --> 00:10:42,500 +بمساعدة الـ T-Helper Cell وغالبا الـ T-Lymphocyte + +124 +00:10:42,500 --> 00:10:51,280 +is either deleted or energized يعني في ال primary + +125 +00:10:51,280 --> 00:10:55,870 +lymphoid organs من البداية الـ T-Lymphocyteis well + +126 +00:10:55,870 --> 00:11:01,050 +educated يعني بمعنى انه بتتعلم صح والمحاصرة + +127 +00:11:01,050 --> 00:11:04,130 +التعليم يامبسيل اندليشين لل auto reactive + +128 +00:11:04,130 --> 00:11:12,910 +telephosite يامبسيل انرجزت المشكلة + +129 +00:11:12,910 --> 00:11:18,770 +ممكن تصير لما يكون فرن انتجن بيحتوي على إيبيتوب + +130 +00:11:18,770 --> 00:11:23,790 +similar to إيبيتوب of self-antigen وبالتالي في هذه + +131 +00:11:23,790 --> 00:11:27,340 +الحالةبيصير فيه تكوين لـ auto antibody response + +132 +00:11:27,340 --> 00:11:35,360 +for the foreign antigen اللي أيضا ممكن يتفاعل مع + +133 +00:11:35,360 --> 00:11:39,000 +ال self-antigen لأنه بيصير فيه cross reactivity في + +134 +00:11:39,000 --> 00:11:43,300 +هذه الحالة هذا ما يسمى بالإيش بال molecular + +135 +00:11:43,300 --> 00:11:48,520 +mimicry ونشوف حنشوف ان شاء الله في ال figure 12.5 + +136 +00:11:48,520 --> 00:11:55,050 +هذا الكلام molecular mimicryهو مؤكد انه يعمل رول + +137 +00:11:55,050 --> 00:12:02,110 +في الروماتيك فيفر روماتيك + +138 +00:12:02,110 --> 00:12:07,230 +فيفر اليوم تكون تنتج + +139 +00:12:07,230 --> 00:12:12,350 +من نتيجة استريبتو كوكال انفكشن يعني لو في بعض ال + +140 +00:12:12,350 --> 00:12:17,150 +cross reactivity في الستريبتو كوكالوالـ Cardic + +141 +00:12:17,150 --> 00:12:22,610 +Myosin اللي هو البروتين وبالتالي بتكون Auto + +142 +00:12:22,610 --> 00:12:28,610 +Antibody which can cross-reactive with the Myosin + +143 +00:12:28,610 --> 00:12:34,450 +in the heart Autoimmune + +144 +00:12:34,450 --> 00:12:38,190 +Diabetes كمان تينفوسايت can recognize a peptide + +145 +00:12:38,190 --> 00:12:45,140 +فقط بيبتايد من ال glutamic acid D-carboxylaseوهذا + +146 +00:12:45,140 --> 00:12:51,760 +عبارة عن انتجة موجودة في ال beta islet cell لهو + +147 +00:12:51,760 --> 00:12:56,700 +هذا كان cross reaction cross react with peptide + +148 +00:12:56,700 --> 00:13:01,740 +derived from kokusaki virus يعني في تشابه ما بين + +149 +00:13:01,740 --> 00:13:06,420 +اللي هو ال kokusaki virus وما بين a glutamic acid + +150 +00:13:06,420 --> 00:13:12,110 +اللي هو ال b cell ب islet cellاللي هو من خلال + +151 +00:13:12,110 --> 00:13:17,530 +Glutamic Acid Carboxylase Antigen أيضًا بيصير فيه + +152 +00:13:17,530 --> 00:13:23,750 +molecular mimicry وطبعًا ال autoimmune disease can + +153 +00:13:23,750 --> 00:13:27,270 +be developed + +154 +00:13:27,270 --> 00:13:35,270 +بعد ما يصير فيه microbial infection وهو مثلًا زي + +155 +00:13:35,270 --> 00:13:38,760 +ما انتوا شايفينهي عبارة عن auto-reactive B + +156 +00:13:38,760 --> 00:13:47,120 +lymphocytes ماسكة في self-antigen و الـ self + +157 +00:13:47,120 --> 00:13:52,860 +-antigen ده هو في ميكروبيا الـ antigen بيشترك معاه + +158 +00:13:52,860 --> 00:13:58,440 +في إيبيتوب بيشترك معاه في إيبيتوب طبعا ال B + +159 +00:13:58,440 --> 00:14:06,380 +lymphocytes تتمشط for the foreign partو تصبح نشطة + +160 +00:14:06,380 --> 00:14:11,180 +و عندما تصبح نشطة تصبح نشطة لنا بيينفوسايدس لناس + +161 +00:14:11,180 --> 00:14:19,400 +كمين الفرن ابتدوا which can cause react with the + +162 +00:14:19,400 --> 00:14:24,900 +self ابتدوا تطلع auto antibody which can react مع + +163 +00:14:24,900 --> 00:14:29,900 +ال self و مع الفرن مع ال self و مع الفرن + +164 +00:14:31,960 --> 00:14:36,540 +طبعا هذا هو الوضع اللي قلناه انه في common ابتوب + +165 +00:14:36,540 --> 00:14:43,440 +في ال foreign antigen مع ال ash مع ال self antigen + +166 +00:14:43,440 --> 00:14:47,400 +فبتتنشط طبعا تيليمفوسايت للforeign ابتوب فتنشط + +167 +00:14:47,400 --> 00:14:51,580 +النمين تيليمفوسايت بيليمفوسايت وبيليمفوسايت تطلع + +168 +00:14:51,580 --> 00:14:57,240 +antibody for both self and ash and foreign antigen + +169 +00:14:58,250 --> 00:15:00,590 +الحاجة التالتة اللي احنا ان شاء الله هنحكي عليها + +170 +00:15:00,590 --> 00:15:04,910 +زي ما انتوا شايفين يوم ما يصير فيه polyclonal + +171 +00:15:04,910 --> 00:15:09,770 +polyclonal يعني اكتر من clone او بي سل اكتلاشيون + +172 +00:15:09,770 --> 00:15:15,010 +شو اللي بيصير؟ يعني بتكون شي بينهم auto reactive + +173 +00:15:15,010 --> 00:15:22,230 +clone فده هي ال auto reactive cell فيوم ما يخش big + +174 +00:15:22,230 --> 00:15:26,510 +antigen زي ال limopolysaccharides ماشي؟ which has + +175 +00:15:26,510 --> 00:15:32,680 +ability toact as a super antigen فبالتالي بروحه هو + +176 +00:15:32,680 --> 00:15:40,540 +مرتبط ماشي و طبعا + +177 +00:15:40,540 --> 00:15:48,820 +بال receptor على سطح ال ash بيرينفوسايت ثم بي كان + +178 +00:15:48,820 --> 00:15:53,780 +بي associate with طول الايكريسبتر وطول الايكريسبتر + +179 +00:15:53,780 --> 00:15:58,750 +بيعمل signal transaction وبنشط ال ashالعيب او + +180 +00:15:58,750 --> 00:16:02,490 +بوريسا كرهت بتبت برسيبتور مرتبط بالطلعي كرسيبتور + +181 +00:16:02,490 --> 00:16:05,210 +which has the ability to induce signal + +182 +00:16:05,210 --> 00:16:11,250 +transduction ومحصلتها + +183 +00:16:11,250 --> 00:16:15,830 +activation of cell طبعا يوم يصير فيه اكتر من كلون + +184 +00:16:15,830 --> 00:16:19,210 +activated ومن ضمنهم auto reactive clone it will + +185 +00:16:19,210 --> 00:16:27,140 +induce autoimmune diseaseهي الـ Polyclonal + +186 +00:16:27,140 --> 00:16:31,120 +Activation الـ Polyclonal Activator يمكن أن يخلق + +187 +00:16:31,120 --> 00:16:33,020 +المال بشكل محدد يخلق المال بشكل محدد يخلق المال + +188 +00:16:33,020 --> 00:16:35,660 +بشكل محدد يخلق المال بشكل محدد يخلق المال بشكل + +189 +00:16:35,660 --> 00:16:36,520 +محدد يخلق المال بشكل محدد يخلق المال بشكل محدد + +190 +00:16:36,520 --> 00:16:36,820 +يخلق المال بشكل محدد يخلق المال بشكل محدد يخلق + +191 +00:16:36,820 --> 00:16:37,600 +المال بشكل محدد يخلق المال بشكل محدد يخلق المال + +192 +00:16:37,600 --> 00:16:38,440 +بشكل محدد يخلق المال بشكل محدد يخلق المال بشكل + +193 +00:16:38,440 --> 00:16:39,820 +محدد يخلق المال بشكل محدد يخلق المال بشكل محدد + +194 +00:16:39,820 --> 00:16:42,420 +يخلق المال بشكل محدد يهيحصل فيه autoimmune disease + +195 +00:16:42,420 --> 00:16:45,700 +مثل ما قلنا من قبل كوهت بيهيف ماني بكتيريال او + +196 +00:16:45,700 --> 00:16:49,620 +viral antigen can behave as a super antigen + +197 +00:16:49,620 --> 00:16:52,560 +وبالتالي it will activate different clone of T + +198 +00:16:52,560 --> 00:16:59,760 +cell بغض النظر عن ال specificity في هذه الحالة + +199 +00:16:59,760 --> 00:17:05,240 +طبعا تطبق مع ال VB gene domain اللي بيكون موجود + +200 +00:17:05,240 --> 00:17:07,380 +outside the peptide binding domain + +201 +00:17:10,810 --> 00:17:16,630 +ماني كنزيرد موليكي لارستكتشار اللي هي ال BAMs اللي + +202 +00:17:16,630 --> 00:17:19,330 +موجودة على مايكرو أورجانيزم اللي هي ال BAMs + +203 +00:17:19,330 --> 00:17:21,990 +سميناها pathogen associated molecular pattern + +204 +00:17:21,990 --> 00:17:26,750 +بتلعب دون كبير كاياش ك polyclonal activator ل بي + +205 +00:17:26,750 --> 00:17:31,110 +سيل طبعا بتعتبر التلسنتر في هذه الحالة pattern + +206 +00:17:31,110 --> 00:17:36,270 +recognition moleculeاللي مرتبط بالـ BAMB وبنشطرنا + +207 +00:17:36,270 --> 00:17:40,130 +الـ B-lymphocyte as well as other طبعاً cell, + +208 +00:17:40,670 --> 00:17:45,610 +lipopolysaccharides can polychronally activate ال + +209 +00:17:45,610 --> 00:17:49,950 +mouse B-cell بما فيها ال auto-reactive B-cell من + +210 +00:17:49,950 --> 00:17:53,730 +خلال interaction with receptor on the cell surface + +211 +00:17:53,730 --> 00:18:01,270 +اللي مرتبط بتولعك receptor 4 شفناها في الاشياءطبعا + +212 +00:18:01,270 --> 00:18:08,090 +اليوم بيقولوا انه احد النظريات المطروحة انه ال + +213 +00:18:08,090 --> 00:18:10,770 +innate signaling through tool-like receptors + +214 +00:18:10,770 --> 00:18:15,190 +pathway may be a mechanism for activating + +215 +00:18:15,190 --> 00:18:20,070 +energetic B cell حتى ال energetic B cell can be + +216 +00:18:20,070 --> 00:18:27,790 +activated trigger + +217 +00:18:27,790 --> 00:18:32,900 +of autoimmunityايش هي العوامل اللي احنا قلنا بانها + +218 +00:18:32,900 --> 00:18:37,340 +environmental factor ده ال trigger اللي هو ان انا + +219 +00:18:37,340 --> 00:18:42,860 +اخور chemical substance هورمون في ال SLE بقولوا هو + +220 +00:18:42,860 --> 00:18:46,720 +is ten times more common in women than in men + +221 +00:18:46,720 --> 00:18:52,700 +والسبب في ذلك الاستروجين Searching drug can + +222 +00:18:52,700 --> 00:18:56,780 +chemically alter T cell carrier epitope of a self + +223 +00:18:56,780 --> 00:19:01,750 +-antigen to render it immunogenicتحول الـ self + +224 +00:19:01,750 --> 00:19:08,750 +-antigen إلى immunogenic antigen نصف سبريسوف T + +225 +00:19:08,750 --> 00:19:14,990 +cell TS can contribute to autoimmune diseaseهي + +226 +00:19:14,990 --> 00:19:22,750 +طبعا ت اسم شايفينها هي T suppressor cell which can + +227 +00:19:22,750 --> 00:19:27,330 +suppress the activity of both CD4 and CD8 فطبعا + +228 +00:19:27,330 --> 00:19:31,840 +غيابها هيأدى الى cell related immunity بكثرةwhich + +229 +00:19:31,840 --> 00:19:35,080 +can lead to autoimmune disease يعني يشتغل كتير + +230 +00:19:35,080 --> 00:19:37,980 +وبالتالي بتغلط كتير وبالتالي بيصير فيه autoimmune + +231 +00:19:37,980 --> 00:19:41,300 +disease الناس اللي عندهم diabetes وعندهم + +232 +00:19:41,300 --> 00:19:46,080 +inflammatory bowel syndrome أيضا عندهم قلة في ال + +233 +00:19:46,080 --> 00:19:51,680 +TS cell ناخد + +234 +00:19:51,680 --> 00:19:56,660 +أمثلة على ال autoimmune disease وطبعا نبدأ بال + +235 +00:19:57,940 --> 00:20:04,020 +أمثلة أو الأمراض اللي بيكون ال antibody له دور + +236 +00:20:04,020 --> 00:20:13,000 +أساسي في ال organ damage و أشهرها هذه أو بداية + +237 +00:20:13,000 --> 00:20:16,720 +نبدأ بال autoimmune hemolytic anemia كلنا بنعرف + +238 +00:20:16,720 --> 00:20:20,860 +انه بيتكون auto antibody against RBCs antigen + +239 +00:20:20,860 --> 00:20:25,700 +وبالتالي بيصير فيه قلة في عدد ال RBCs لأنها بتتكسر + +240 +00:20:26,980 --> 00:20:31,480 +والتكسير هبتم من خلال two mechanism الأولاني من + +241 +00:20:31,480 --> 00:20:36,100 +خلال activation of complement cascade كاملا يعني + +242 +00:20:36,100 --> 00:20:42,000 +للآخر ومحصلته eventual license of the cell وهذا + +243 +00:20:42,000 --> 00:20:47,840 +غالبا بنشوف hemoglobin or urea بوضوح عند المريض + +244 +00:20:47,840 --> 00:20:53,260 +ميكانيزم التاني هو انه يصير فيه optionization من + +245 +00:20:53,260 --> 00:21:00,290 +خلالأو الـ C3P على سطح الـ RBCs وهؤلاء لديهم + +246 +00:21:00,290 --> 00:21:03,570 +ريسبتور على سطح الماكروفيجي الموجودة في الـ + +247 +00:21:03,570 --> 00:21:06,670 +reticulum nucleus system يعني في الـSpleen + +248 +00:21:06,670 --> 00:21:10,930 +وبالتالي أول ما تصل سيحصل فيه Antibody-coated RBCs + +249 +00:21:10,930 --> 00:21:17,550 +recognition أو complement-coated RBCs recognition + +250 +00:21:17,550 --> 00:21:21,850 +والمحصلة فالبوصيتوسيز وdestruction of the cell + +251 +00:21:24,650 --> 00:21:28,630 +كان الانتيبادي المسئول عن الـ autoimmunohepatic + +252 +00:21:28,630 --> 00:21:33,610 +anemia يتم مقاطعه إلى اتجارات اتجارية اتجارية + +253 +00:21:33,610 --> 00:21:35,170 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +254 +00:21:35,170 --> 00:21:37,310 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +255 +00:21:37,310 --> 00:21:38,850 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +256 +00:21:38,850 --> 00:21:39,590 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +257 +00:21:39,590 --> 00:21:40,050 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجارية + +258 +00:21:40,050 --> 00:21:48,030 +اتجارية اتجارية اتجارية اتجارية اتجارية اتجار + +259 +00:21:48,670 --> 00:21:52,850 +غالبا بيرتبطوا مع ال RBCs فقط لما تكون درجة + +260 +00:21:52,850 --> 00:21:57,170 +الحرارة اقل من سبعة وتلاتين درجة ميخوية و بيفكوا + +261 +00:21:57,170 --> 00:22:01,770 +يعني بيسيبوا ال RBCs يوم ترتفع درجة الحرارة they + +262 +00:22:01,770 --> 00:22:05,390 +are IGM type and they are highly efficient in + +263 +00:22:05,390 --> 00:22:09,430 +activating complement وبالتالي المحاصلة licenses + +264 +00:22:09,430 --> 00:22:10,470 +of RBCs + +265 +00:22:12,920 --> 00:22:16,220 +الواجهة دلوقت ايضا جهوتك انيما يمكن أن تكون اندوزت + +266 +00:22:16,220 --> 00:22:21,460 +ببعض الدراجات مثل البنسيلين والألفا مثال دوربا + +267 +00:22:21,460 --> 00:22:28,780 +وبعض المرات بنلاقي cold antibody تكونت بعد انفكاش + +268 +00:22:28,780 --> 00:22:36,340 +مع نومونيا أو بعض الويروس المرض + +269 +00:22:36,340 --> 00:22:41,950 +التاني هو myasemia gravisطبعا في هذا الحالة ال + +270 +00:22:41,950 --> 00:22:48,330 +target self-antigen هو ال Acetylcholine ريسبتور و + +271 +00:22:48,330 --> 00:22:52,950 +طبعا في هذا الحالة موجود على ال neuromuscular + +272 +00:22:52,950 --> 00:22:56,970 +junction هو ال Acetylcholine محتوى ال + +273 +00:22:56,970 --> 00:23:00,270 +neuromuscular junction و بالتالي موجود على ال + +274 +00:23:00,270 --> 00:23:04,190 +muscle cell و بالتالي ال auto-antibody اللي بيتكون + +275 +00:23:04,190 --> 00:23:08,080 +بلعب دور كبير as antagonistبعمل Blocking للـ + +276 +00:23:08,080 --> 00:23:11,440 +Acetylcholine Receptor فلما بيجي ال Acetylcholine + +277 +00:23:11,440 --> 00:23:16,810 +يشتغل بيلاقي ال Receptor مشغول وبالتاليما بيصير + +278 +00:23:16,810 --> 00:23:23,570 +فيه neuromuscular junction يعني ما بيصير فيه + +279 +00:23:23,570 --> 00:23:28,070 +muscle function وبالتالي بيصير فيه weakness وطبعا + +280 +00:23:28,070 --> 00:23:33,850 +هذه محصلتها طبعا من مظاهرها و بيصير difficulty in + +281 +00:23:33,850 --> 00:23:38,510 +chewing , swallowing و breathing و في النهاية + +282 +00:23:38,510 --> 00:23:42,010 +بيصير فيه respiratory failure and death + +283 +00:23:44,940 --> 00:23:52,100 +العنوان يبدو انه مرتبط بالـ Thymus المركولات + +284 +00:23:52,100 --> 00:23:57,440 +المتعاملة مع الاسيتركوليريسبتر موجودة في العديد من + +285 +00:23:57,440 --> 00:24:02,440 +الأجسام في الـ Thymus مثل الـ Thymocytes و الـ + +286 +00:24:02,440 --> 00:24:07,300 +Epithelial cells وهي + +287 +00:24:07,300 --> 00:24:12,560 +طبعا هي صورة واضحة جدا الانتبادي ماشي + +288 +00:24:14,400 --> 00:24:28,100 +أيش عملت في هذه الحالة؟ عملت Blocking للـ Receptor + +289 +00:24:28,100 --> 00:24:30,480 +لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش + +290 +00:24:30,480 --> 00:24:30,520 +لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش + +291 +00:24:30,520 --> 00:24:35,720 +لإيش لإيش لإيش لإيش لإيش + +292 +00:24:35,720 --> 00:24:36,500 +لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش + +293 +00:24:36,500 --> 00:24:36,500 +لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش لإيش + +294 +00:24:36,500 --> 00:24:41,240 +لإيش لإيش لإيش لإيش لإيش + +295 +00:24:41,240 --> 00:24:42,000 +لإ + +296 +00:24:44,510 --> 00:24:47,250 +في الـ Graves Disease الـ Antibody is stimulating + +297 +00:24:47,250 --> 00:24:50,610 +هنا الـ Antibody is inhibiting Antibody هنا + +298 +00:24:50,610 --> 00:24:54,930 +Stimulating Antibody بلعب دره كبير از ممسك في TSH + +299 +00:24:54,930 --> 00:25:00,650 +Receptor و TSH من احنا بنعرف انه ايش و مقوم بدوره + +300 +00:25:00,650 --> 00:25:04,410 +طبعا بنعرف انه بعمل activating للthyroid follicle + +301 +00:25:04,410 --> 00:25:09,010 +و بتطلع انها thyroid hormone فبالتالي محصلة اللي + +302 +00:25:09,010 --> 00:25:15,330 +هو ال Graves Disease هو Hyperthyroidismماشي ندى + +303 +00:25:15,330 --> 00:25:21,310 +تحقق نشوف ايه disease وقولنا هي hyperthyroidism + +304 +00:25:21,310 --> 00:25:27,870 +antibody directed against a hormone receptor اللى + +305 +00:25:27,870 --> 00:25:34,290 +بيعمل على تمشيت ال receptor وبالتالي المحصلة طبعا + +306 +00:25:34,290 --> 00:25:37,830 +ال hormone هو thyroid stimulating hormoneو ال + +307 +00:25:37,830 --> 00:25:44,630 +interaction بيؤدي الى اللى هو نشاط الغدى لأنه + +308 +00:25:44,630 --> 00:25:50,490 +اتبعه ك agonist و محصلته طبعا hypertheresis + +309 +00:25:50,490 --> 00:25:59,250 +الأسئلة E برضه autoimmune disease مشهور باسم Red + +310 +00:25:59,250 --> 00:26:05,930 +wolf اللى هو الذئب الحمراء طبعا نتيجة ال reddish + +311 +00:26:06,300 --> 00:26:11,360 +facial rash اللى موجودة على ال cheeks ودى غالبا + +312 +00:26:11,360 --> 00:26:18,380 +بتعتبر yearly symptoms في هذه الحالة ال disease + +313 +00:26:18,380 --> 00:26:23,940 +طبعا attacks many organs of the body وبيسبب fever, + +314 +00:26:24,100 --> 00:26:26,900 +joint pain, damage to the central nervous system, + +315 +00:26:27,220 --> 00:26:31,920 +to the heart, to the kidney وبالتالي كل عضة الجسم + +316 +00:26:31,920 --> 00:26:36,570 +ممكن سلحة damageوحصلته طبعا وفاة في النهاية + +317 +00:26:36,570 --> 00:26:42,350 +المشكلة في هذا المرض انه there is not a systemic + +318 +00:26:42,350 --> 00:26:47,030 +pathway يعني مافيش طريق يعني يعني مش كل مرة المرض + +319 +00:26:47,030 --> 00:26:54,910 +بيسلك نفس التسلسل في اللي هو تخريب حضار الجسم + +320 +00:26:54,910 --> 00:26:58,970 +أسألي patient produce antibodies against several + +321 +00:26:58,970 --> 00:27:02,490 +nuclear components منها ال antinuclear antibody + +322 +00:27:03,020 --> 00:27:08,620 +هؤلاء أيضًا مصادر ضد الـ Denaturated Single + +323 +00:27:08,620 --> 00:27:17,620 +-Stranded DNA وضد نيكليوهيستوز الـ Anti-Double + +324 +00:27:17,620 --> 00:27:24,440 +-Stranded DNA طبعًا + +325 +00:27:24,440 --> 00:27:27,460 +بنشوفه بكثرة في الناس اللي عندهم خلال فرينة ال + +326 +00:27:27,460 --> 00:27:34,170 +involvement في الأسئلة Eالإيجي أم الأنتيبوديات + +327 +00:27:34,170 --> 00:27:37,550 +تنتج من أجل الـ Single-Strand DNA يمكنها أن تتعامل + +328 +00:27:37,550 --> 00:27:42,490 +مع تغيير إيزوتيبي لتنتج إيجي جي عالي افينيتي الـ + +329 +00:27:42,490 --> 00:27:48,490 +Double-Strand DNA يتعامل .. يتعامل .. يتعامل .. + +330 +00:27:48,490 --> 00:27:49,910 +يتعامل .. يتعامل .. يتعامل .. يتعامل .. يتعامل .. + +331 +00:27:49,910 --> 00:27:51,630 +يتعامل .. يتعامل .. يتعامل .. يتعامل .. يتعامل .. + +332 +00:27:51,630 --> 00:27:51,630 +يتعامل .. يتعامل .. يتعامل .. يتعامل .. يتعامل .. + +333 +00:27:51,630 --> 00:27:54,770 +يتعامل .. يتعامل .. يتعامل .. يتعامل .. يتعامل .. + +334 +00:27:54,770 --> 00:27:56,470 +يتعامل .. يتعامل .. + +335 +00:28:00,190 --> 00:28:05,350 +Trapping of IgG Antibody or Anti-Double-Stranded + +336 +00:28:05,350 --> 00:28:11,990 +DNA بيؤدى لتكوين Immune Complexes فى الglomerulus + +337 +00:28:11,990 --> 00:28:18,690 +وطبعا هذا بيؤدى لتنشيط ال complement وبعمل + +338 +00:28:18,690 --> 00:28:24,910 +recruitment للgranulocytes ومحصلة رينال دامج Anti + +339 +00:28:24,910 --> 00:28:27,970 +-Double-Stranded DNA Antibody بي cross-react + +340 +00:28:27,970 --> 00:28:33,660 +للglomerulوهي طبعا زي ال extent of inflammatory + +341 +00:28:33,660 --> 00:28:41,480 +reaction بتعتمد على او هي من يحدد severity of + +342 +00:28:41,480 --> 00:28:45,820 +kidney pathology المحصلة + +343 +00:28:45,820 --> 00:28:48,840 +اللي قلناه glomerulonephritis و ال severity طبعا + +344 +00:28:48,840 --> 00:28:53,580 +بتؤدي الى leakage of protein من ال blood من ال + +345 +00:28:53,580 --> 00:29:00,740 +kidneyوكل ما صارت الحالة chronic Inflammatory CD4 + +346 +00:29:00,740 --> 00:29:06,200 +اللى دى البروان اللى هتنشطلنا ال macro phage و ال + +347 +00:29:06,200 --> 00:29:10,600 +can attract monocytes ال macro phage وبالتالي هذا + +348 +00:29:10,600 --> 00:29:17,140 +بيؤدي الى pathological lesion وrenal failure أسئلة + +349 +00:29:17,140 --> 00:29:21,360 +كمان ممكن تنتج نتيجة ال exposure to some common + +350 +00:29:21,360 --> 00:29:26,110 +environmental factor زى ال ultraviolet lightهورمون + +351 +00:29:26,110 --> 00:29:30,050 +وانفكسيوز ايجانز يعني مش تعمل بقى فيروس وكلهم بلعب + +352 +00:29:30,050 --> 00:29:38,710 +دور في ال etiology of disease يعني + +353 +00:29:38,710 --> 00:29:44,670 +you can cross react with nuclear antigen induction + +354 +00:29:44,670 --> 00:29:51,030 +ايضا by drugs زي ال penicillamine كلورو برمازين + +355 +00:29:51,030 --> 00:29:57,110 +هيدرازينالشيء اللي يحدث هو أن مصادر الانترنكليات + +356 +00:29:57,110 --> 00:30:01,430 +تنتج مصادر الانترنكليات لشخص واحد.في الغرب، + +357 +00:30:01,430 --> 00:30:02,170 +المصادر اللي تدفعها للمصادر اللي تدفعها للمصادر + +358 +00:30:02,170 --> 00:30:03,170 +اللي تدفعها للمصادر اللي تدفعها للمصادر اللي + +359 +00:30:03,170 --> 00:30:06,790 +تدفعها للمصادر اللي تدفعها للمصادر اللي تدفعها + +360 +00:30:06,790 --> 00:30:08,710 +للمصادر اللي تدفعها للمصادر اللي تدفعها للمصادر + +361 +00:30:08,710 --> 00:30:12,710 +اللي تدفعها للمصادر اللي تدفعها للمصادر اللي + +362 +00:30:12,710 --> 00:30:15,650 +تدفعها للمصادر اللي تدفعها للمصادر اللي تدفعها + +363 +00:30:15,650 --> 00:30:21,690 +للمصادر الليبنجي لنوع تاني من ال autoimmune + +364 +00:30:21,690 --> 00:30:25,890 +disease اللي بيكون في تيلينفوسايت العبدالكبير in + +365 +00:30:25,890 --> 00:30:31,810 +organ damage ونحكي على multiple sclerosis في ال + +366 +00:30:31,810 --> 00:30:39,070 +multiple sclerosis اللي بيصير في demelanization of + +367 +00:30:39,070 --> 00:30:45,050 +central nervous system tissue بينهري + +368 +00:30:45,050 --> 00:30:52,600 +الميلانينشيت واحدة بيقدي إليهاrelapse or limiting + +369 +00:30:52,600 --> 00:30:57,600 +or progressive paralytic course يعني بحصلها في + +370 +00:30:57,600 --> 00:31:03,100 +الغالب شلل للبريد لأن الـ melanin sheet هي + +371 +00:31:03,100 --> 00:31:10,380 +المسئولة عن الـ neurotransmitter نيرو سيجال it's + +372 +00:31:10,380 --> 00:31:13,240 +considered to be a T cell mediated autoimmune + +373 +00:31:13,240 --> 00:31:17,980 +disease واللي بيصير في cellular infiltrate + +374 +00:31:17,980 --> 00:31:21,010 +associated with T البردوانوDelete type of + +375 +00:31:21,010 --> 00:31:27,490 +sensitivity mechanism class two أمدشي موليكيول + +376 +00:31:27,490 --> 00:31:35,570 +بيلعب دور كبير في ال disease susceptibility الرابط + +377 +00:31:35,570 --> 00:31:38,390 +يعني اللي هو type one insulin diabetes mellitus + +378 +00:31:38,390 --> 00:31:44,710 +insulin dependent diabetes mellitus مجرد chronic + +379 +00:31:44,710 --> 00:31:48,670 +inflammatory destruction لل beta cell + +380 +00:31:50,840 --> 00:31:55,160 +في البنكرياس وهي عبارة عن insulin producing beta + +381 +00:31:55,160 --> 00:32:02,060 +islet cell of البنكرياس وطبعا المسئول المباشر في + +382 +00:32:02,060 --> 00:32:05,340 +هذا الموضوع هو cytotoxic T cell اللي بتوهاجم هذه + +383 +00:32:05,340 --> 00:32:13,420 +الخلايا فيولود cytokine والمهوء ايضا بتؤدي الى + +384 +00:32:13,420 --> 00:32:18,080 +antibody production بتوهاجم الخلايا + +385 +00:32:28,320 --> 00:32:34,580 +النسبة للهيبلو تايب الهيبلو + +386 +00:32:34,580 --> 00:32:39,140 +تايب الهيبلو + +387 +00:32:39,140 --> 00:32:41,700 +تايب الهيبلو تايب الهيبلو تايب الهيبلو تايب + +388 +00:32:41,700 --> 00:32:41,980 +الهيبلو تايب الهيبلو تايب الهيبلو تايب الهيبلو + +389 +00:32:41,980 --> 00:32:42,040 +تايب الهيبلو تايب الهيبلو تايب الهيبلو تايب + +390 +00:32:42,040 --> 00:32:42,240 +الهيبلو تايب الهيبلو تايب الهيبلو تايب الهيبلو + +391 +00:32:42,240 --> 00:32:44,580 +تايب الهيبلو تايب الهيبلو تايب الهيبلو تايبووجد ان + +392 +00:32:44,580 --> 00:32:47,880 +50% من Insulin Dependent طبيبية اسمه latest + +393 +00:32:47,880 --> 00:32:54,320 +patient عندهم HLA-DR3 أربعة هيتيروزايدز positive و + +394 +00:32:54,320 --> 00:33:02,660 +individual with HLA-DQP1 اللي هو 0602 rarely + +395 +00:33:02,660 --> 00:33:07,520 +develop the disease Hashimoto's + +396 +00:33:07,520 --> 00:33:14,360 +thyroiditis موجود في ال middle aged womenبيؤدي لـ + +397 +00:33:14,360 --> 00:33:20,140 +Formation of Goiter وطبعا المحصلة Atrophy of the + +398 +00:33:20,140 --> 00:33:24,020 +thyroid gland اللي بيؤدي في النهاية لـ + +399 +00:33:24,020 --> 00:33:27,400 +Hypothyroidism و Destruction of the thyroid + +400 +00:33:27,400 --> 00:33:34,040 +function غالبا المرض associated with T cell لكن ال + +401 +00:33:34,040 --> 00:33:39,920 +antibody بتلعب دوري كبير في المرض Target antigen + +402 +00:33:39,920 --> 00:33:44,190 +include thyroblobulinميكروزومال انتيجين من الـ + +403 +00:33:44,190 --> 00:33:48,530 +Thyroid Epithelial Cell وانتيبادي هذه الانتيجين تم + +404 +00:33:48,530 --> 00:33:55,450 +إكتشافها. انفلترايش من بي سل ونو نوكليار بي سل ونو + +405 +00:33:55,450 --> 00:34:00,050 +نوكليار تسل وميكروفيل يؤدي إلى الانتقال وإدماج من + +406 +00:34:00,050 --> 00:34:06,310 +الثيرويد الفوليكل وبالتالي الجلد يحاول الانتقال + +407 +00:34:06,310 --> 00:34:11,640 +ويصبح كبيرًا ردت الفعل الطبيعيةإنه تعمل + +408 +00:34:11,640 --> 00:34:16,940 +Regeneration وبالتالي تبدأ تكبر when distraction + +409 +00:34:16,940 --> 00:34:23,380 +continue symptoms of hypothyroidism appear مثال + +410 +00:34:23,380 --> 00:34:29,000 +آخر when I had arthritis chronically inflamed + +411 +00:34:29,000 --> 00:34:37,010 +synovium وبصير فيه densely crowded with lymphocyte + +412 +00:34:37,010 --> 00:34:43,690 +محصلة destruction of the cartilage and bone طبعا + +413 +00:34:43,690 --> 00:34:49,710 +Sinovium is densely packed with dendritic cell, + +414 +00:34:49,810 --> 00:34:53,890 +macrophage, T cell, B cell, NK cell and clumps of + +415 +00:34:53,890 --> 00:34:57,790 +plasma cell وفي بعض الأحيان بصير فيه secondary + +416 +00:34:57,790 --> 00:35:04,620 +folliclePathology هو عبارة عن محصلة + +417 +00:35:04,620 --> 00:35:08,240 +لـ mixture of immunopathological mechanism خصوصا + +418 +00:35:08,240 --> 00:35:11,680 +انتجل انتبادي Complexes Formation Complement + +419 +00:35:11,680 --> 00:35:16,610 +Activity Polymorphic Nuclear Infiltrationو الـ + +420 +00:35:16,610 --> 00:35:21,230 +inflammatory CD4 و الـ CD8 و الـ cytotoxic T + +421 +00:35:21,230 --> 00:35:25,870 +-lymphocyte مع الـ activated macrophage و الـ unk + +422 +00:35:25,870 --> 00:35:29,890 +cell و الـ cell-mediated immunity كلها ابتدال عن + +423 +00:35:29,890 --> 00:35:30,150 +دول + +424 +00:35:35,260 --> 00:35:38,900 +A variety of cytokines كلهم عبارة عن خلايا ملاعية + +425 +00:35:38,900 --> 00:35:43,020 +كلهم بيفرجوا cytokine أشهر هذا ال cytokine human + +426 +00:35:43,020 --> 00:35:47,720 +necrosis factor alpha و IL-1 و degradative enzymes + +427 +00:35:47,720 --> 00:35:52,380 +و بعض ال mediators that destroy the integrity of + +428 +00:35:52,380 --> 00:35:57,840 +cartilage Chondrocytes السللة of cartilage طبعا + +429 +00:35:57,840 --> 00:36:02,360 +become exposed to the immune system سنويا الفلود + +430 +00:36:02,360 --> 00:36:07,690 +في الغالببتجمع في جوانت الـ Arthritis روماتوية + +431 +00:36:07,690 --> 00:36:13,330 +وبيحتوي على عدد كبير من Polymorphic Nuclear Cell + +432 +00:36:13,330 --> 00:36:23,170 +.الفيبرين + +433 +00:36:23,170 --> 00:36:28,390 +تم تدبّقه و يتم تدبّقه بالفيبراستيشو و جوانت + +434 +00:36:28,390 --> 00:36:30,290 +انكلوز + +435 +00:36:36,600 --> 00:36:46,060 +IgM روماتويد فاكتور محدود لتحتيك على قطعة Fc + +436 +00:36:46,060 --> 00:37:01,280 +للطبيعي على مولكولة IgG روماتويد + +437 +00:37:01,280 --> 00:37:09,770 +فاكتور مفيدof disease activity وغالبا + +438 +00:37:09,770 --> 00:37:15,590 +وجدوه بيصلوا remission during بيصير فيه low level + +439 +00:37:15,590 --> 00:37:22,270 +during remission مثال الأخير اظن ان ال autoimmune + +440 +00:37:22,270 --> 00:37:28,620 +disease اللي ناتج عنكمبلمنت كمبلمنت كمبلمنت + +441 +00:37:28,620 --> 00:37:33,700 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +442 +00:37:33,700 --> 00:37:35,840 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +443 +00:37:35,840 --> 00:37:41,820 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +444 +00:37:41,820 --> 00:37:41,880 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +445 +00:37:41,880 --> 00:37:41,880 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +446 +00:37:41,880 --> 00:37:42,360 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +447 +00:37:42,360 --> 00:37:51,720 +كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت كمبلمنت + +448 +00:37:51,950 --> 00:37:55,510 +Complement Clearance Mechanism as in Serum + +449 +00:37:55,510 --> 00:38:00,750 +Sickness يعني ما بيصلها Clearance Deficiency in + +450 +00:38:00,750 --> 00:38:06,190 +complement 4 بيقصد تلاتة بيؤدي للفيلير to clear + +451 +00:38:06,190 --> 00:38:11,770 +immune complexes by macrophage أسأل إيه بيصير أكتر + +452 +00:38:11,770 --> 00:38:14,530 +من 80% من ال individual عندهم complement + +453 +00:38:14,530 --> 00:38:17,930 +deficiency of C1 وC4 وC2 + +454 +00:38:21,850 --> 00:38:26,150 +ترابيوتيك استراتيجيز شو بعتوا في هذه الحالة؟ بعتوا + +455 +00:38:26,150 --> 00:38:29,470 +سايترو توكسيك دراجات زي الـ cyclophosphamide و + +456 +00:38:29,470 --> 00:38:36,060 +الاذاثيابرينهؤلاء يهاجمون DNA ريبليكيشن ويهاجمون + +457 +00:38:36,060 --> 00:38:43,780 +بشكل اقصر جسم البطالة بشكل اقصر بشكل اقصر بشكل + +458 +00:38:43,780 --> 00:38:44,420 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +459 +00:38:44,420 --> 00:38:47,100 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +460 +00:38:47,100 --> 00:38:47,140 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +461 +00:38:47,140 --> 00:38:47,220 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +462 +00:38:47,220 --> 00:38:55,540 +اقصر بشكل اقصر بشكل اقصر بشكل اقصر بشكل + +463 +00:38:55,540 --> 00:39:02,200 +اانتسايتوكاين ثيرابي بلقت او tumor necrosis factor + +464 +00:39:02,200 --> 00:39:06,060 +alpha by antibody or soluble receptor for + +465 +00:39:06,060 --> 00:39:10,580 +rheumatoid arthritis.Inhibition of IL-1 beta by + +466 +00:39:10,580 --> 00:39:16,360 +soluble receptor also seem a useful strategy in + +467 +00:39:16,360 --> 00:39:22,280 +rheumatoid arthritis.These immunomodulatory agents + +468 +00:39:23,780 --> 00:39:27,020 +تمنحنا انفلامات ردودة طبعا إذا عملنا Blockage + +469 +00:39:27,020 --> 00:39:33,680 +للعيال وان بيتا بنوقف نشاطه الانترفيروم بيتا هو + +470 +00:39:33,680 --> 00:39:38,400 +استخدام للتعامل مع عديد من الاسكلوروسيز من خلال + +471 +00:39:38,400 --> 00:39:44,820 +الانتيبادي الى CD3 برضه فحصوه كويس في ال + +472 +00:39:44,820 --> 00:39:51,180 +autoimmune diabetes كوستيمولاتري Blockage زي ال + +473 +00:39:52,450 --> 00:39:56,170 +طبعاً بي سبن سي دي تواني ات بلاكيش أبير تبقى + +474 +00:39:56,170 --> 00:40:00,830 +promising روماتويدارتراتيز and psoriasis بلطق + +475 +00:40:00,830 --> 00:40:06,610 +ببتعد that bind to MHC group but not capable of + +476 +00:40:06,610 --> 00:40:11,230 +activating a given T cell have been used to induce + +477 +00:40:11,230 --> 00:40:17,010 +tolerance in rodent modelيعني دخلوا بيبتايد ترتبط + +478 +00:40:17,010 --> 00:40:20,590 +بال-MHC موليكيوله وبالتالي خلاص مشغول مافيش + +479 +00:40:20,590 --> 00:40:26,190 +إمكانية أنه يعمل الخلايا تعمل Antigen Presentation + +480 +00:40:26,190 --> 00:40:31,410 +T cell receptor have been administered to patients + +481 +00:40:31,410 --> 00:40:38,310 +as an immunogen in an effort to raise a clonotype + +482 +00:40:38,310 --> 00:40:41,270 +specific cytotoxic T cell + +483 +00:40:44,980 --> 00:40:52,700 +يعني هنا دخلوا Receptor وحصلته انه اعتبار الجسد + +484 +00:40:52,700 --> 00:40:57,220 +كميونوجين وطبعا نشرت لنا site toxic T lymphocyte + +485 +00:40:57,220 --> 00:41:02,900 +اللي عملت destruction لل cells generation of T + +486 +00:41:02,900 --> 00:41:07,460 +subresource cell in autoimmune individual برضه هذا + +487 +00:41:07,460 --> 00:41:14,350 +عبارة عن علاج طبعا هي ال autoimmune diseaseو الـ + +488 +00:41:14,350 --> 00:41:20,030 +MHC association with which الأليل commonly found + +489 +00:41:20,030 --> 00:41:25,830 +strength of association العلاقة بين الأمراض والـ + +490 +00:41:25,830 --> 00:41:31,610 +MHC جين والأليل اللي بتكون موجودة طبعاً هذا علاقة + +491 +00:41:31,610 --> 00:41:38,010 +مكتوبة strength أو weak يعني وجود الأليل اللي تبع + +492 +00:41:38,010 --> 00:41:44,660 +الـ MHC molecule ماشي بهذه الأقامبيأدى الى ان + +493 +00:41:44,660 --> 00:41:49,040 +المرض يصير high risk of age inducing such diseases + +494 +00:41:49,040 --> 00:41:54,740 +انا + +495 +00:41:54,740 --> 00:41:57,780 +ال auto immune disease و ال auto antigen اللى + +496 +00:41:57,780 --> 00:42:05,920 +بيسموه مهاجمة و مين اللى بتهاجمه مين + +497 +00:42:05,920 --> 00:42:14,640 +اللى بتهاجمه وبهك نكون انهينا المحاضرةمشكرين + +498 +00:42:14,640 --> 00:42:15,480 +بالمتابعة + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/hvyPC5Qp3dE_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/hvyPC5Qp3dE_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..a9dfb96c8de55ac75dc9414c41c625cff1798115 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/hvyPC5Qp3dE_postprocess.srt @@ -0,0 +1,1912 @@ +1 +00:00:01,890 --> 00:00:04,870 +بسم الله الرحمن الرحيم والصلاة والسلام على سيد + +2 +00:00:04,870 --> 00:00:10,110 +الخلق الأجمعين سيدنا محمد الصادق الأمين وبعد + +3 +00:00:10,110 --> 00:00:13,410 +محاضرتنا اليوم على regulation of the immune + +4 +00:00:13,410 --> 00:00:19,350 +response ال immune response تهيأب مرايتي of + +5 +00:00:19,350 --> 00:00:24,090 +control mechanism ليس ميكانيزم الوالي works + +6 +00:00:26,810 --> 00:00:31,750 +الشباب موجودين في حالتهم الانتجينية لكنهم بيشتغلوا + +7 +00:00:31,750 --> 00:00:42,550 +يوم الانتجين لا يزال محتاجيعني يوم ما نتخلص من + +8 +00:00:42,550 --> 00:00:47,710 +الانتجين مافي داعي لشغل هذه الميكانيزمات تشتغل يوم + +9 +00:00:47,710 --> 00:00:53,130 +ما نبطل نحتاج الى ال immune response كيف تعمل هذه + +10 +00:00:53,130 --> 00:00:58,450 +الميكانيزمات قالوا بتعمل لأ بتؤثر على العوامل التي + +11 +00:00:58,450 --> 00:01:03,630 +تؤثر في ال immune response وهذه العوامل عدة منها + +12 +00:01:03,630 --> 00:01:06,650 +the form and root of administration of antigen + +13 +00:01:07,550 --> 00:01:10,610 +Antigen presenting cell, genetic background of + +14 +00:01:10,610 --> 00:01:14,790 +individual, history of previous exposure and + +15 +00:01:14,790 --> 00:01:19,930 +specific antibody also may modulate the immune + +16 +00:01:19,930 --> 00:01:24,330 +response to an antigen هنبدأ نحكي على كل واحد على + +17 +00:01:24,330 --> 00:01:28,570 +حد ان شاء الله ونبدأ + +18 +00:01:36,410 --> 00:01:45,690 +بالأول هذه العوامل وهي regulation by antigen نقل + +19 +00:01:45,690 --> 00:01:51,410 +واحد nature of antigen طبعا نعرف انه different + +20 +00:01:51,410 --> 00:01:54,370 +antigen ممكن تعمل انها different immune responses + +21 +00:01:55,780 --> 00:02:00,720 +فعلى سبيل المثال polysaccharides antigen أو + +22 +00:02:00,720 --> 00:02:06,020 +بكتيريا cell membrane و بكتيريا induce IgM + +23 +00:02:06,020 --> 00:02:10,520 +response بينما البروتين can induce both cell + +24 +00:02:10,520 --> 00:02:13,840 +-mediated immunity and humoral immune response + +25 +00:02:13,840 --> 00:02:16,560 +والمقصود ب humoral immune response يعني antibody + +26 +00:02:16,560 --> 00:02:22,420 +production هم أيضا الانتراث للورقنزمبإمكانها تدخل + +27 +00:02:22,420 --> 00:02:26,580 +الـ Cell-mediated immune response بينما البروتين + +28 +00:02:26,580 --> 00:02:28,840 +الصليبلي بإمكانها تدخل الـHumoral immune response + +29 +00:02:28,840 --> 00:02:33,680 +أيضًا الـ Cell-mediated immunity بإمكانها تدخل أو + +30 +00:02:33,680 --> 00:02:40,060 +تدخل من أجنطة مثل سيليكا نمرا اتنين دوز انتجين + +31 +00:02:40,060 --> 00:02:43,360 +كمية الانتجين اللي بتدخل على سبيل الـ Very Large + +32 +00:02:43,360 --> 00:02:47,040 +Dose بإمكانها تدخل الـ Tolerance for P and T Cell + +33 +00:02:47,040 --> 00:02:50,440 +بينما + +34 +00:02:51,720 --> 00:02:56,260 +أيها administration of antigen أيضا to neonate + +35 +00:02:56,260 --> 00:03:00,540 +mice غالبا بيحصل فيه tolerance في هذه المرحلة + +36 +00:03:00,540 --> 00:03:06,800 +بيقولوا لإن ال immune response is immature بما في + +37 +00:03:06,800 --> 00:03:12,620 +حين ال recent study أثبتت على إنه أيضا ال neonate + +38 +00:03:12,620 --> 00:03:17,150 +mice can develop efficient immune responseالنقطة + +39 +00:03:17,150 --> 00:03:22,130 +التانية T independent polysaccharide antigen can + +40 +00:03:22,130 --> 00:03:26,830 +generate tolerance للبيلين فالسيوم ما اندخلها + +41 +00:03:26,830 --> 00:03:31,050 +بكميات كبيرة احنا عارفين الفرق بين ال T I و T + +42 +00:03:31,050 --> 00:03:35,090 +dependent antigen + +43 +00:03:37,210 --> 00:03:39,830 +النقطة التالتة بالنسبة للانتيجين ال route of + +44 +00:03:39,830 --> 00:03:43,170 +administration كيف يدخل للانتيجين قالوا اللي له + +45 +00:03:43,170 --> 00:03:47,950 +دخل كبير في عملية اللي هو ال control of immune + +46 +00:03:47,950 --> 00:03:50,870 +response فعلى سبيل المثال subcutaneous و ال intra + +47 +00:03:50,870 --> 00:03:55,050 +dermal administration للانتيجين can induce strong + +48 +00:03:55,050 --> 00:03:59,230 +immune response بينما ال intravenous و ال oral and + +49 +00:03:59,230 --> 00:04:02,310 +erosal may cause tolerance + +50 +00:04:05,290 --> 00:04:10,450 +حاجة تانية التجربة اثبتت ان الميس اللى بنعطى + +51 +00:04:10,450 --> 00:04:16,070 +subcutaneous peptide او antigen مرتبطة بـ fronds + +52 +00:04:16,070 --> 00:04:23,710 +adjuvant لسبب مثال كوريو نينجايتس فيروس مثلا + +53 +00:04:27,970 --> 00:04:33,390 +بينما إذا كان اعطينا repeated injection of the + +54 +00:04:33,390 --> 00:04:38,290 +same antigen لكن intra peritoneally مش intra مش + +55 +00:04:38,290 --> 00:04:42,610 +subcutaneously it will induce tolerance + +56 +00:04:46,920 --> 00:04:50,160 +الحاجة التانية اللى هو ال antigen presenting cell + +57 +00:04:50,160 --> 00:04:52,720 +اللى بيبقى حاكينا عن ال antigen نقطة تانية antigen + +58 +00:04:52,720 --> 00:04:54,900 +presenting cell كلنا بنعرف ان ال antigen + +59 +00:04:54,900 --> 00:04:58,080 +presenting cell تقسم إلى نوعين professional و non + +60 +00:04:58,080 --> 00:05:02,160 +professional ال professional اللى هى التلاتة أنواع + +61 +00:05:02,160 --> 00:05:05,400 +الأساسية macrophage, dendritic cell وmelanophosite + +62 +00:05:05,400 --> 00:05:10,640 +وسميناهم professional لإن هم يستطيعون تفكير + +63 +00:05:10,640 --> 00:05:14,100 +موليكيول + +64 +00:05:14,100 --> 00:05:15,320 +كوستيميلاتوري + +65 +00:05:17,990 --> 00:05:21,790 +وبالتالي يجب أن يكون هناك امارسي موليكيول مع كوستي + +66 +00:05:21,790 --> 00:05:25,750 +مداتري موليكيول مبناطه في افكتف اكتفيش + +67 +00:05:25,750 --> 00:05:29,930 +للتيليمفوسايت لأنهم يوضعون الانتجنت لتيليمفوسايت + +68 +00:05:29,930 --> 00:05:35,050 +ايضا نقطة تانية اللي قلناها يجب ان يكون هناك اتفاق + +69 +00:05:35,050 --> 00:05:39,590 +بين CD4T ليجند اللي موجود على التيليمفوسايت وCD4T + +70 +00:05:39,590 --> 00:05:44,250 +اللي موجود على الدنترتيكسل مهم جدا في إنتاج IL-12 + +71 +00:05:44,250 --> 00:05:46,590 +و IL-12 بعمل ديرين + +72 +00:06:01,640 --> 00:06:06,460 +نقطة تانية اذا الانتجار مواجه تي سيلبالنسبة لـ Non + +73 +00:06:06,460 --> 00:06:11,660 +-Professional كما قلنا هؤلاء الجسد لا يستطيع أن + +74 +00:06:11,660 --> 00:06:12,840 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +75 +00:06:12,840 --> 00:06:13,020 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +76 +00:06:13,020 --> 00:06:18,300 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +77 +00:06:18,300 --> 00:06:18,600 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +78 +00:06:18,600 --> 00:06:18,620 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +79 +00:06:18,620 --> 00:06:23,940 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +80 +00:06:38,400 --> 00:06:42,380 +النقطة التالتة هي regulation by antibody طبعا كلنا + +81 +00:06:42,380 --> 00:06:46,880 +بنعرف ان ال antibody له دور كبير في عملية ال + +82 +00:06:46,880 --> 00:06:53,440 +immune response either stimulate او suppress على + +83 +00:06:53,440 --> 00:07:00,680 +سبيل المثال يوم تعطي IGM انتيجين it will induce و + +84 +00:07:00,680 --> 00:07:05,720 +enhance immune response بينما يوم تعطي IGG + +85 +00:07:05,720 --> 00:07:07,060 +antibody + +86 +00:07:08,930 --> 00:07:15,750 +سوف تتخلص من اجهزة الانفجار الانفجار + +87 +00:07:15,750 --> 00:07:20,830 +الانفجارالـ Vaccine for Moms and Measles بتأخر + +88 +00:07:20,830 --> 00:07:26,490 +لبعد الست شهور الأولى من الولادة، ليش؟ لأنه لسه + +89 +00:07:26,490 --> 00:07:33,490 +IGG-Titer of Maternal IGG-Titer still is high for + +90 +00:07:33,490 --> 00:07:38,130 +the first six months after فيها درس، فبيأخروا عشان + +91 +00:07:38,130 --> 00:07:42,680 +مايأثرش على ال immune responseأيضًا الـ RH + +92 +00:07:42,680 --> 00:07:45,320 +incompatibility الـ Anti-RH هو واضح عن الـ Anti + +93 +00:07:45,320 --> 00:07:46,060 +-IGG + +94 +00:07:51,840 --> 00:07:57,620 +الأنتيجن الانتيبادي يمكنه أيضًا بلق الانتراكشن بين + +95 +00:07:57,620 --> 00:08:04,880 +الابيطوبات والمحطات الاميونغلوبيلين بي سيل + +96 +00:08:04,880 --> 00:08:06,800 +الاميونغلوبيلين بي سيل ال بي سيل ال بي سيل ال بي + +97 +00:08:06,800 --> 00:08:07,060 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +98 +00:08:07,060 --> 00:08:07,100 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +99 +00:08:07,100 --> 00:08:08,520 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +100 +00:08:08,520 --> 00:08:12,860 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +101 +00:08:12,860 --> 00:08:13,460 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +102 +00:08:13,460 --> 00:08:20,910 +سيل ال بي سيل ال بي سيل ال بي سيلبالتالي لديه دور + +103 +00:08:20,910 --> 00:08:25,510 +في عملية ال regulation المهم لها اربعة دي + +104 +00:08:25,510 --> 00:08:28,650 +Regulation + +105 +00:08:28,650 --> 00:08:30,550 +of lymphocytes + +106 +00:08:32,150 --> 00:08:36,810 +في عملية تحديد نوع ال immune response ففي عندنا + +107 +00:08:36,810 --> 00:08:41,230 +different subset of T-Helper cell these kind of + +108 +00:08:41,230 --> 00:08:44,470 +cells that can differentiate either to T-Helper + +109 +00:08:44,470 --> 00:08:49,210 +one or T-Helper two وكل واحدة اللي هي type of + +110 +00:08:49,210 --> 00:08:52,210 +immune response فT-Helper one على سبيل المثال + +111 +00:08:52,210 --> 00:08:57,850 +induce اللي هوسيل ميديت الانفجار الانفجار الانفجار + +112 +00:08:57,850 --> 00:09:02,170 +الانفجار + +113 +00:09:02,170 --> 00:09:05,770 +الانفجار الانفجار الانفجار الانفجار الانفجار + +114 +00:09:05,770 --> 00:09:05,890 +الانفجار الانفجار الانفجار الانفجار الانفجار + +115 +00:09:05,890 --> 00:09:06,310 +الانفجار الانفجار الانفجار الانفجار الانفجار + +116 +00:09:06,310 --> 00:09:07,610 +الانفجار الانفجار الانفجار الانفجار الانفجار + +117 +00:09:07,610 --> 00:09:09,950 +الانفجار الانفجار الانفجار الانفجار الانفجار + +118 +00:09:09,950 --> 00:09:12,910 +الانفجار الانفجار الانفجار الانفجار الانفو طبعاً + +119 +00:09:12,910 --> 00:09:21,750 +فينا different types of T-Helper cell subsets فينا + +120 +00:09:21,750 --> 00:09:30,530 +تيريك و فينا TR1 و فينا TEM كلهم خلايا على سطحهم + +121 +00:09:30,530 --> 00:09:32,070 +CD4 positive + +122 +00:09:35,710 --> 00:09:40,390 +فوكس بي تلاتة هو من يحدد ال expression of other + +123 +00:09:40,390 --> 00:09:47,330 +receptor على سطح الخلايا ماشي كل واحدة انها دور + +124 +00:09:47,330 --> 00:09:52,920 +معين فعلى سبيل .. و بتفرز cytokine معينعلى سبيل + +125 +00:09:52,920 --> 00:09:57,620 +المثال تي ريج سيكريت ترانسفورم روز فاكتور ميتا تي + +126 +00:09:57,620 --> 00:10:03,700 +اروان تعطينا aisle 10 بينما تي اي ام تعطينا aisle + +127 +00:10:03,700 --> 00:10:08,560 +2 جامع انترفيرون عن aisle 4 وتخيلوا كل واحد له دور + +128 +00:10:08,560 --> 00:10:13,920 +معين فيا CD4 positive في كل الخلايا can be + +129 +00:10:13,920 --> 00:10:20,080 +differentiated CD4 positive 25 negative بثلاثة + +130 +00:10:20,080 --> 00:10:23,730 +negative في الأساسإذا في وجود Transforming Growth + +131 +00:10:23,730 --> 00:10:26,310 +Factor Beta بيصير فيه Expression لـ Other + +132 +00:10:26,310 --> 00:10:33,010 +Receptors زي CD25 وFoxP3 Positive وبتسموا الخلية + +133 +00:10:33,010 --> 00:10:38,210 +في هذا الحالة Induced Treg Which Can Secret Large + +134 +00:10:38,210 --> 00:10:41,790 +Amount Of Transforming Growth Factor Beta By Cell + +135 +00:10:41,790 --> 00:10:45,210 +To Solve Contact And Inhibit The Immune Response + +136 +00:10:45,210 --> 00:10:51,090 +أيضا في وجود هذه الخلية في وجود الـ Antigen Still + +137 +00:10:52,390 --> 00:10:58,930 +بتدل زي ما هي و بتتحول الى الـ TEM effector memory + +138 +00:10:58,930 --> 00:11:02,790 +cell which can induce immune response من خلال + +139 +00:11:02,790 --> 00:11:05,390 +إفراز certain cytokines زي ال IL-2 gamma + +140 +00:11:05,390 --> 00:11:12,750 +interferon IL-4 and other cytokine أيضا في وجود IL + +141 +00:11:12,750 --> 00:11:18,950 +-10 هذه الخنية can express FOXP3 positive و يدل ال + +142 +00:11:18,950 --> 00:11:23,760 +CD25 نيجاتي و بيسموها TR1الذي يمكن أن يحفظ الـ IL + +143 +00:11:23,760 --> 00:11:29,700 +-10 وهو الهيبوتوري سايتوكاين اللي يمكن أن يهيبط + +144 +00:11:29,700 --> 00:11:34,120 +اكتفاء الديه البار + +145 +00:11:41,340 --> 00:11:45,540 +أيو تيرينج هذا شريح طبعا للصيادين هذوله شريح لماذا + +146 +00:11:45,540 --> 00:11:51,580 +شرحته على الفيجر أيو تيرينج cell selectively + +147 +00:11:51,580 --> 00:11:55,460 +express فوكس بي تلاتة وده عبارة عن transcriptional + +148 +00:11:55,460 --> 00:11:59,680 +factor essential for the development and function + +149 +00:11:59,680 --> 00:12:07,440 +of CD4 وCD25 and تيرينج ال mutation في فوكس بي + +150 +00:12:07,440 --> 00:12:13,350 +تلاتة وجدوا بعملImmune dysregulation يبقى مهم جدا + +151 +00:12:13,350 --> 00:12:17,430 +لفوكس بي تلاتة فيها expression of other اللي هو + +152 +00:12:17,430 --> 00:12:23,990 +الريسبتر على سطح الخلايا CD4 positive CD25 + +153 +00:12:23,990 --> 00:12:27,630 +positive ماشي الهيتاريك have immune suppression + +154 +00:12:27,630 --> 00:12:32,130 +function شو بتعمل prevent self reactivity يعني + +155 +00:12:32,130 --> 00:12:33,890 +prevent auto immunity + +156 +00:12:36,760 --> 00:12:41,620 +هذا الـ T-Rig يمكن أن يعمل أيضًا في الوصول إلى + +157 +00:12:41,620 --> 00:12:43,700 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +158 +00:12:43,700 --> 00:12:44,200 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +159 +00:12:44,200 --> 00:12:46,860 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +160 +00:12:46,860 --> 00:12:48,320 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +161 +00:12:48,320 --> 00:12:49,860 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +162 +00:12:49,860 --> 00:12:50,760 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +163 +00:12:50,760 --> 00:12:55,500 +إلى الوصول + +164 +00:12:55,500 --> 00:12:56,940 +إلى الوصول + +165 +00:13:00,330 --> 00:13:04,830 +على إضافة لـ naturally occurring CD4 positive CD25 + +166 +00:13:04,830 --> 00:13:13,390 +positive Treg التي تم تجريها في الـ Thymus يوجد + +167 +00:13:13,390 --> 00:13:20,290 +نوع من الـ CD4 regulatory cell يمكن أن يتم تطبيقه + +168 +00:13:20,290 --> 00:13:24,990 +في الـ periphery نوعين مهمين جدا، واحد اسمه TR1 + +169 +00:13:24,990 --> 00:13:25,570 +والثالث + +170 +00:13:29,040 --> 00:13:32,860 +هؤلاء هم مجتمعات مستعمرة ومستعمرة وكانوا موجودين + +171 +00:13:32,860 --> 00:13:38,260 +في البريفريات وقت ايش جالوا اتجاوز اتجاوز اتجاز + +172 +00:13:38,260 --> 00:13:39,820 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +173 +00:13:39,820 --> 00:13:43,940 +اتجاز اتجاز اتجاز + +174 +00:13:43,940 --> 00:13:46,960 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +175 +00:13:46,960 --> 00:13:47,040 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +176 +00:13:47,040 --> 00:13:47,160 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +177 +00:13:47,160 --> 00:13:53,100 +اتجاز اتجاز اتجاز اتجاز + +178 +00:13:53,100 --> 00:13:57,680 +اتجاز اتجاز + +179 +00:13:57,680 --> 00:14:02,230 +اتيعني انهيبط اي ميو ريسبونس a CD4 positive + +180 +00:14:02,230 --> 00:14:05,570 +regulatory T cell can also be generated from + +181 +00:14:05,570 --> 00:14:08,550 +antigen experience in the presence of certain + +182 +00:14:08,550 --> 00:14:13,730 +cytokine اللي + +183 +00:14:13,730 --> 00:14:19,350 +هي التالتة في وجود آيالتينبيصير فيه expression لـ + +184 +00:14:19,350 --> 00:14:25,970 +TR1 فُكس بي تلاتة بيصير positive CD25 is negative + +185 +00:14:25,970 --> 00:14:32,130 +لكن بيصير فيه expression ل IL10 و تشملية + +186 +00:14:32,130 --> 00:14:36,970 +suppression for the immune response إذا كان CD4 + +187 +00:14:36,970 --> 00:14:42,390 +positive regulatory T cell are generated في وجود + +188 +00:14:42,390 --> 00:14:45,680 +ال transform growth factor Betaيستطيعوا أن + +189 +00:14:45,680 --> 00:14:51,480 +يتعاملوا بـ FOXP-B3 ويعملوا تحرير لـ CD25 وهذا + +190 +00:14:51,480 --> 00:14:54,720 +يدفع إلى تصميم الـ Transformed Growth Fact Beta + +191 +00:14:54,720 --> 00:15:00,540 +اللي يعمل تحرير للردد الإيميوني تيهيلبرتالاتا تعمل + +192 +00:15:00,540 --> 00:15:05,540 +اورال توليرانس يعني الأكل اللي بناكله مليان + +193 +00:15:05,540 --> 00:15:10,160 +انتجينات اذا او ليش بيصيبش فيه الـ immune response + +194 +00:15:10,160 --> 00:15:15,000 +لأنه بتتواجد تيهيلبرتالاتاوهي المسؤولة عن الـ Oral + +195 +00:15:15,000 --> 00:15:21,280 +Tolerance وموجودة في الـ Mucosal Membrane of the + +196 +00:15:21,280 --> 00:15:26,040 +Gut ايش بيعملوا؟ قالوا انهم يصنعون Transforming + +197 +00:15:26,040 --> 00:15:31,860 +Growth Factor Beta بكميات كبيرة وهذا عبارة عن + +198 +00:15:31,860 --> 00:15:41,180 +Nebutary Cytokine بالاضافة إلى IL-10 و IL-4 اللي + +199 +00:15:41,180 --> 00:15:48,240 +مسؤولين عنالـ T-hepartalata differentiation غياب + +200 +00:15:48,240 --> 00:15:52,340 +الـ T-hepartalata is associated with inflammatory + +201 +00:15:52,340 --> 00:16:03,700 +bowel disease أيضا CD4 positive T cell can induce + +202 +00:16:03,700 --> 00:16:07,100 +prevent the induction of autoimmunity + +203 +00:16:11,440 --> 00:16:14,040 +واجهته أيضًا إنه ال administration of high doses + +204 +00:16:14,040 --> 00:16:18,180 +of autoantigen can prevent induction of + +205 +00:16:18,180 --> 00:16:23,500 +autoimmunity this inhibition غالبًا is due to CD4 + +206 +00:16:23,500 --> 00:16:28,680 +positive T cell which inhibit the development of + +207 +00:16:28,680 --> 00:16:33,300 +autoimmune autoantibody sorry as well as + +208 +00:16:33,300 --> 00:16:37,840 +autoimmune disease it's suggested that the + +209 +00:16:37,840 --> 00:16:40,720 +suppression is involved + +210 +00:16:42,780 --> 00:16:47,600 +by the transforming growth factor beta in IL-10 + +211 +00:16:47,600 --> 00:16:53,960 +أيضا تيهيلبر subset are involved in the regulation + +212 +00:16:53,960 --> 00:16:57,580 +of immunoglobulin production فعلى سبيل المثال + +213 +00:16:57,580 --> 00:17:04,840 +Gamma interferon is secreted from T-Helper I تعمل + +214 +00:17:04,840 --> 00:17:09,520 +انهي بشلة T-Helper II و IL-10 اللي بطلع من T + +215 +00:17:09,520 --> 00:17:15,390 +-Helper IIبإمكانه تخلص من الاسم P7 و IL-12 من خلال + +216 +00:17:15,390 --> 00:17:17,650 +انتجين الـPresenting Cell وبالتالي بيعمل + +217 +00:17:17,650 --> 00:17:21,490 +Inhibition لـ Tlbar-1 Activation وبالتالي فى + +218 +00:17:21,490 --> 00:17:31,330 +Regulation ما بين Tlbar-1 وTlbar-2 Cell IL-12 مهم + +219 +00:17:31,330 --> 00:17:35,550 +جدا فى عملية ال development في Tlbar-1 وTlbar-2 + +220 +00:17:35,550 --> 00:17:40,530 +بيعمل Balance كمان بين هذه الخلاياوبالتالي + +221 +00:17:40,530 --> 00:17:48,070 +Modulation of IL-12 is required هو من الـ Receptor + +222 +00:17:48,070 --> 00:17:55,190 +تبعه IL-12 Receptor T cell subset development is + +223 +00:17:55,190 --> 00:18:00,350 +influenced by interferon alpha شو بعمل ال + +224 +00:18:00,350 --> 00:18:05,810 +interferon alpha؟ جعله بيحدد المسار T helper cell + +225 +00:18:05,810 --> 00:18:11,900 +to T helper oneحتى في وجود IL-4 اللي أصلا مطلوب لـ + +226 +00:18:11,900 --> 00:18:16,500 +T helper-2 pathway الـ Alpha interferon بيعمله + +227 +00:18:16,500 --> 00:18:20,160 +Neutralization وبيعمل Neutralization ل IL-12 + +228 +00:18:20,160 --> 00:18:23,660 +وبالتالي + +229 +00:18:23,660 --> 00:18:29,960 +بيصير في اللي هو تفضيل لـ T helper-1 + +230 +00:18:35,000 --> 00:18:42,600 +أو الـ T-Alberto immune response الفيجور الأتي + +231 +00:18:42,600 --> 00:18:53,200 +أيضا 11.10 بيحدد CD8 positive T cell can transfer + +232 +00:18:53,200 --> 00:18:59,500 +resistance and tolerance و أيضا بواسط Transforming + +233 +00:18:59,500 --> 00:19:05,980 +Growth Factor Betaشوفوا الفيجر كيفية التحكم بعملية + +234 +00:19:05,980 --> 00:19:12,600 +الـ IL-12 والـ IL-12 ريسبتر يعني انتبهوا للفيجر + +235 +00:19:12,600 --> 00:19:16,760 +يعني ال IL-12 أيضا هو عبارة عن cytokine released + +236 +00:19:16,760 --> 00:19:21,520 +from ال monocytes وهي عبارة عن phagocytic + +237 +00:19:21,520 --> 00:19:28,420 +mononuclear phagocytic cell فبالتالي once released + +238 +00:19:28,420 --> 00:19:37,570 +ماشيبعمل induction أو بعمل بيساعد + +239 +00:19:37,570 --> 00:19:43,130 +في ال production of IL-12 Receptor IL-12 Receptor + +240 +00:19:43,130 --> 00:19:48,110 +زي ما انتوا شايفين بيتكوّن من two chain B1 B2 وهو + +241 +00:19:48,110 --> 00:19:56,520 +بالذات بعمل production ل B1وبالتالي بيكتمل وجود + +242 +00:19:56,520 --> 00:20:00,220 +اللي هو الـ Receptor على سطح الـ T-Helper-1 و + +243 +00:20:00,220 --> 00:20:04,340 +بالمناسبة الـ IL-12 Receptor موجود فقط على الـ T + +244 +00:20:04,340 --> 00:20:12,000 +-Helper-1 Cell يبدأ عملية الـ Moduling أو عملية + +245 +00:20:12,000 --> 00:20:16,540 +التحكم بIL-12 اللي بيطلع من الـ Monocytes اللي + +246 +00:20:16,540 --> 00:20:22,240 +بيتحكم في تكوين ال IL-12 Receptor على سطح الـ T + +247 +00:20:22,240 --> 00:20:26,910 +-Helper-1 Cellممكن نتحكم فيه وقالوا انك تتحكم في + +248 +00:20:26,910 --> 00:20:30,370 +الـ T helper 2 من خلال إفراز IL-10 اللي بيعمل + +249 +00:20:30,370 --> 00:20:36,770 +انهيبشين لإفراز هذا الـ cytokine IL-T helper 2 كان + +250 +00:20:36,770 --> 00:20:41,710 +secret IL-4 و IL-4 شو بيعمل؟ بيعمل انهيبشين لـ + +251 +00:20:41,710 --> 00:20:44,210 +Gamma interferon شو بيعمل Gamma interferon؟ قالوا + +252 +00:20:44,210 --> 00:20:51,320 +بيعمل expression ل B1 chainأو الـ IL-12 ريسبتور + +253 +00:20:51,320 --> 00:20:54,960 +وبالتالي بيكتمل الـ receptor فبالتالي لو عملنا + +254 +00:20:54,960 --> 00:20:58,640 +annihilation للـ Gamma interferon بواسطة IL-4 اللي + +255 +00:20:58,640 --> 00:21:04,460 +بيطلع من T helper 2 بيصير فيه عدم expression لل IL + +256 +00:21:04,460 --> 00:21:08,000 +-12 receptor وإذا ما اتكونش ال IL-12 receptor + +257 +00:21:08,000 --> 00:21:13,360 +معناته مافيش T helper 1 اللي هو activity + +258 +00:21:18,750 --> 00:21:26,710 +regulation by NK و NKT كنا بنعرف أن الـ NK cell هي + +259 +00:21:26,710 --> 00:21:32,470 +عبارة عن خلية بتلعب دوري كبير في ال first line + +260 +00:21:32,470 --> 00:21:36,750 +defense mechanism for intracellular pathogen من + +261 +00:21:36,750 --> 00:21:41,310 +خلال إفرازها لـ Gamma interferon اللي بنشت مكروفيج + +262 +00:21:41,310 --> 00:21:45,910 +والمكروفيج can facilitate the differentiation of + +263 +00:21:47,930 --> 00:21:50,770 +التي البر وان زي ما اتفقنا بتنشيط ماكروفاج + +264 +00:21:50,770 --> 00:21:56,250 +وماكروفاج يعني phagocytosis فبنتخلص من ايش؟ من ال + +265 +00:21:56,250 --> 00:22:02,430 +.. ايضا التي البر وان كان can activate the + +266 +00:22:02,430 --> 00:22:10,290 +macrophage والانكس ال activity ممكنتتنشط أو can be + +267 +00:22:10,290 --> 00:22:12,750 +induced by a variety of cytokines منها الـ Alpha + +268 +00:22:12,750 --> 00:22:18,510 +Interferon و الـ Beta Interferon IL-15 IL-18 IL-12 + +269 +00:22:18,510 --> 00:22:24,390 +كلهم بنشطوا اللي هو الـ NK cell لكنها inhabited by + +270 +00:22:24,390 --> 00:22:29,410 +IL-10 and transforming growth factor beta يبقى في + +271 +00:22:29,410 --> 00:22:38,040 +دور اللي هو الـ NK cell بتنشطلنا زي ما قلنااللي هو + +272 +00:22:38,040 --> 00:22:42,920 +هي specific for intracellular pathogen من خلال + +273 +00:22:42,920 --> 00:22:45,980 +إيش؟ من خلال production of gamma interferon اللي + +274 +00:22:45,980 --> 00:22:52,860 +بنشت ميكروفيش وميكروفيش بتنشطيها بروان cell يعني + +275 +00:22:52,860 --> 00:22:57,600 +cell mediated immunity is in used وزي ما شفناها ال + +276 +00:22:57,600 --> 00:23:00,580 +cytokine اللي بتنشطها و ال cytokine اللي بيعملها + +277 +00:23:00,580 --> 00:23:06,060 +inhibitionبالمقابل الـ NKT cell أيضًا تخلق Gamma + +278 +00:23:06,060 --> 00:23:13,180 +Interferon اللي أيضًا بنشط الـ NK cell activation + +279 +00:23:13,180 --> 00:23:17,000 +وبالتالي بيحصل فيه زيادة في proliferation and + +280 +00:23:17,000 --> 00:23:24,200 +cytotoxicity for NK cell قدرة الـ NKT cell to + +281 +00:23:24,200 --> 00:23:29,560 +secrete IL-4 تعمل على prevention of autoimmune + +282 +00:23:29,560 --> 00:23:35,680 +diseaseوغياب هذه الخلية deficiency of NKT cell + +283 +00:23:35,680 --> 00:23:42,120 +يعني سجلت حالات من autoimmune diseases في غياب هذه + +284 +00:23:42,120 --> 00:23:47,360 +الخلية منها rheumatoid arthritis, psoriasis, + +285 +00:23:47,740 --> 00:23:53,660 +ulceration and ulcerative colitis and multiple + +286 +00:23:53,660 --> 00:23:57,000 +sclerosis كل عبارة عن autoimmune diseases + +287 +00:24:00,700 --> 00:24:04,040 +خلية مهمة جدا زي ما انتوا شايفين ان كي تي سيل + +288 +00:24:04,040 --> 00:24:10,420 +عندها القدرة انها تفرز cytokine مختلفة فتفرز ال + +289 +00:24:10,420 --> 00:24:15,580 +cytokine اللي بتنشط ال T helper 2 pathway و اللي + +290 +00:24:15,580 --> 00:24:25,370 +بتنشط ال T helper 1 pathwayاللي بتنشط تسل و بيسل + +291 +00:24:25,370 --> 00:24:32,290 +تسل و بيسل تسل و بيسل تسل و بيسل تسل و بيسل تسل و + +292 +00:24:32,290 --> 00:24:38,910 +بيسل تسل و بيسل تسل و بيسل تسل و بيسل تسل و بيسل + +293 +00:24:38,910 --> 00:24:45,630 +تسل و بيسل تسل و بيسل تسل و بيسل تسل و بيسل تسل + +294 +00:24:45,630 --> 00:24:45,850 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +295 +00:24:45,850 --> 00:24:48,610 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تمن خلال + +296 +00:24:48,610 --> 00:24:55,930 +هذه الـ cytokine وبالتالي can induce أو preventory + +297 +00:24:55,930 --> 00:25:01,190 +the tumorigenesis أيه عندها antitumor، + +298 +00:25:01,190 --> 00:25:02,090 +antimicrobial + +299 +00:25:05,740 --> 00:25:09,940 +بتمنع الانكيوفاج و الانكيوفاج من خلال الانكيوفاج و + +300 +00:25:09,940 --> 00:25:10,080 +الانكيوفاج من خلال الانكيوفاج و الانكيوفاج من خلال + +301 +00:25:10,080 --> 00:25:10,300 +الانكيوفاج و الانكيوفاج من خلال الانكيوفاج و + +302 +00:25:10,300 --> 00:25:13,160 +الانكيوفاج من خلال الانكيوفاج من خلال الانكيوفاج + +303 +00:25:13,160 --> 00:25:14,400 +من خلال الانكيوفاج من خلال الانكيوفاج من خلال + +304 +00:25:14,400 --> 00:25:14,440 +الانكيوفاج من خلال الانكيوفاج من خلال الانكيوفاج + +305 +00:25:14,440 --> 00:25:15,440 +من خلال الانكيوفاج من خلال الانكيوفاج من خلال + +306 +00:25:15,440 --> 00:25:16,780 +الانكيوفاج من خلال الانكيوفاج من خلال الانكيوفاج + +307 +00:25:16,780 --> 00:25:17,740 +من خلال الانكيوفاج من خلال الانكيوف + +308 +00:25:26,060 --> 00:25:32,660 +localization of cell يعني تمحور الخلايا في أماكن + +309 +00:25:32,660 --> 00:25:37,500 +معينة أو انتقال الخلايا إلى مكان الinfection + +310 +00:25:37,500 --> 00:25:43,100 +localization كيف تتم طبعا كلنا بنعرف في ال + +311 +00:25:43,100 --> 00:25:46,560 +phagocytosis process ان الخلايا تنتقل من ال blood + +312 +00:25:46,560 --> 00:25:51,940 +vessels إلى مكان ال infection كيبت ان هذه العملية + +313 +00:25:51,940 --> 00:25:56,570 +في كيموتابتك factor بتفرزمن يقوم بتنشيطها؟ كانوا + +314 +00:25:56,570 --> 00:26:01,390 +الكيموكاين والكيموكاين طالعة من خلايا مختلفة it's + +315 +00:26:01,390 --> 00:26:05,990 +an important mechanism طيب، ماذا جعلتهم يعملوا هذه + +316 +00:26:05,990 --> 00:26:08,050 +العملية؟ جعلوا ال expression of different + +317 +00:26:08,050 --> 00:26:13,370 +chemokine رسيبتور على سطح الـT البروان والـT + +318 +00:26:13,370 --> 00:26:16,290 +البرتو وT البروان بيكون على سطح كيموكاية رسيبتور + +319 +00:26:16,290 --> 00:26:21,290 +تلاتة وخمسة بينما الـT البرتو بيكون موجود على سطح + +320 +00:26:22,130 --> 00:26:26,330 +كيموكايل ريسيبتور تلاتة واربعة و تمانية These + +321 +00:26:26,330 --> 00:26:34,580 +chemokiles can allow chemotactic signalتنقل من الـ + +322 +00:26:34,580 --> 00:26:44,540 +blood vessels + +323 +00:26:44,540 --> 00:26:48,320 +أو من أماكن مختلفة ممكن تكون في الـ secondary + +324 +00:26:48,320 --> 00:26:52,220 +lymphoid organs بتجري لغاية ما تصل ال site of + +325 +00:26:52,220 --> 00:26:56,560 +infection يبقى مهم جدا ال expression of chemokine + +326 +00:26:56,560 --> 00:27:04,710 +receptors ايضا production of MCP1أما IP-1 Alpha و + +327 +00:27:04,710 --> 00:27:10,750 +IP-10 و الـ Ranti سختناهم قبل هيك تستخدم لتركيز + +328 +00:27:10,750 --> 00:27:14,450 +الـ Mononuclear Phagocyte لمنطقة الهواء من + +329 +00:27:14,450 --> 00:27:20,630 +الانفلامشين.وجود Cytokine Transformed Growth + +330 +00:27:20,630 --> 00:27:26,010 +Factor Beta IL-12 و IL-4 اللي عندهم القدرة + +331 +00:27:26,010 --> 00:27:30,580 +تproduce كيموكاين أو كيموكاين رسبتورprovide + +332 +00:27:30,580 --> 00:27:35,840 +further level of control يعني هذه الـ cytokine + +333 +00:27:35,840 --> 00:27:40,940 +أيضًا عندها القدرة إنها أيضًا to express كيموكاين + +334 +00:27:40,940 --> 00:27:44,020 +and كيموكاين Receptors وبالتالي هو عبارة عن + +335 +00:27:44,020 --> 00:27:48,160 +further level of control mechanism for cell + +336 +00:27:48,160 --> 00:27:52,660 +migration and recruitment كثير من الفيروسوز can + +337 +00:27:52,660 --> 00:27:57,230 +evade هذه للأسف الشديد هي host immune responseماذا + +338 +00:27:57,230 --> 00:28:01,950 +يفعلون؟ قالوا بيعملوا Antagonist للـChemokine + +339 +00:28:01,950 --> 00:28:06,870 +Receptor فبيعملوا Blocking وقتالي بيمنعوا + +340 +00:28:06,870 --> 00:28:12,470 +Localization of Cell إيديو Type Modulation + +341 +00:28:12,470 --> 00:28:18,430 +Response الإيديو Type هو + +342 +00:28:18,430 --> 00:28:23,790 +عبارة عن الـFAB Region واحنا بنعرف كل Antibody له + +343 +00:28:23,790 --> 00:28:29,680 +FAB وله FC Regionهل الفاب مختلفة between different + +344 +00:28:29,680 --> 00:28:32,300 +antibodies عشان هيك في حاجة بيسموها Idiotypic + +345 +00:28:32,300 --> 00:28:36,160 +Variation between antibody usually ال tolerance + +346 +00:28:36,160 --> 00:28:42,040 +for self-antigen بيصير during ontogeny يعني خلال + +347 +00:28:42,040 --> 00:28:47,340 +رحلة إيهاش تكوين هذه الخلائق لكن ال tolerance + +348 +00:28:47,340 --> 00:28:55,060 +بيصير لل Fc portion مش لل فاب portionالـ Antibody + +349 +00:28:55,060 --> 00:29:00,700 +اللى بتتكون ضد الفاب بيسموها Antidiotypic Antibody + +350 +00:29:00,700 --> 00:29:07,520 +احنا اتفقنا على ان الفاب هي اللى بيكون مختلفة + +351 +00:29:07,520 --> 00:29:09,660 +between different antibodies عشان هي بيسموها + +352 +00:29:09,660 --> 00:29:14,820 +اديوتاري وال Antibody اللى بتعملها blocking هم + +353 +00:29:14,820 --> 00:29:20,640 +عبارة عن Antidiotypic Antibodyودول عندهم القدرة to + +354 +00:29:20,640 --> 00:29:24,960 +influence the outcome of immune response طبعا إذا + +355 +00:29:24,960 --> 00:29:28,940 +صار في blocking لل antibody كيف بيشتغل وبالتالي في + +356 +00:29:28,940 --> 00:29:34,900 +تحديد لمسار ال immune response ال Epigenetic + +357 +00:29:34,900 --> 00:29:41,480 +Epitopes اللي موجودة in or around the binding + +358 +00:29:41,480 --> 00:29:49,080 +sites بيسموها Ediotopes Epitopes وEdiotopesماشي + +359 +00:29:49,080 --> 00:29:52,860 +تنسوش هذه المصطلحات Epitopes على الـ Antigen والـ + +360 +00:29:52,860 --> 00:30:00,100 +Idiotopes على الـ Antibody العالم + +361 +00:30:00,100 --> 00:30:05,060 +الجن طرح إن ال Immune Network can be existent وقت + +362 +00:30:05,060 --> 00:30:12,530 +إيش ماشي في داخل جسم الإنسان طبعاأو NV2 التي + +363 +00:30:12,530 --> 00:30:16,430 +تتعامل بمعينة إيديو تايب ريكنيشن يعني يوم يكون فيه + +364 +00:30:16,430 --> 00:30:20,230 +Antigen Antibody reaction بيصير فيه نتوارد نتوارد + +365 +00:30:20,230 --> 00:30:29,350 +ماشي ما بين ال Antibody وما بين ال Fab او ال إيديو + +366 +00:30:29,350 --> 00:30:34,650 +تايب اللي موجودة وعندما يتم إدخال ردودة Antibody + +367 +00:30:34,650 --> 00:30:35,290 +ردودة + +368 +00:30:39,370 --> 00:30:45,790 +هيعمل Anti-Idiotypic Response لمين؟ لنفسه وبالتالي + +369 +00:30:45,790 --> 00:30:51,290 +بيتكون Anti-Idiotypic Network وبيعمل + +370 +00:30:51,290 --> 00:30:57,090 +Neutralization لـ Antibody Neuroendocrine + +371 +00:30:57,090 --> 00:31:00,630 +modulation by immune response قالوا انه في + +372 +00:31:00,630 --> 00:31:03,690 +evidence ان ال nervous system و ال endocrine + +373 +00:31:03,690 --> 00:31:06,810 +system و ال immune system are interconnected + +374 +00:31:08,180 --> 00:31:11,260 +والدليل على هذا انه مسلم فويتش و received direct + +375 +00:31:11,260 --> 00:31:15,740 +sympathetic innervation وان ال nervous system can + +376 +00:31:15,740 --> 00:31:19,880 +be controlled او هو نفسه can control the outcome + +377 +00:31:19,880 --> 00:31:25,080 +او output of various hormones فعلى سبيل المثال + +378 +00:31:25,080 --> 00:31:29,040 +كورتيكوستيرويد هرموه غروسهرموه بولاكتين ثيروكسين + +379 +00:31:29,040 --> 00:31:33,160 +and ابريفلين can be controlled by their nervous + +380 +00:31:33,160 --> 00:31:38,050 +systemالـ Lymphocyte express receptor for many + +381 +00:31:38,050 --> 00:31:41,950 +hormones وبالتالي الكورتيكوستيرويدs act as a major + +382 +00:31:41,950 --> 00:31:45,950 +feedback control on immune response، إيش بيعمل؟ + +383 +00:31:45,950 --> 00:31:49,110 +وقالوا بيعمل inhibition ل تي البروين cytokine + +384 +00:31:49,110 --> 00:31:54,710 +production اللي بيأدى إلى إنتاج transform growth + +385 +00:31:54,710 --> 00:31:57,750 +factor beta وبالتالي بيصير فيه inhibition لل + +386 +00:31:57,750 --> 00:32:04,620 +immune response عشان هيك الكورتيكوستيرويدهورمون هو + +387 +00:32:04,620 --> 00:32:11,280 +عبارة عن immune suppressant بيجي + +388 +00:32:11,280 --> 00:32:16,300 +من ال genetic control of the immune response هل في + +389 +00:32:16,300 --> 00:32:21,120 +جينات تتحكم بال immune response ولا لأ طبعا لأنه + +390 +00:32:21,120 --> 00:32:25,520 +في اكتر من جين اللي هدور كبير في ال immune + +391 +00:32:25,520 --> 00:32:30,740 +response وكنا بنعرف انه ال MHC haplotype هو ال + +392 +00:32:30,740 --> 00:32:38,690 +majorInfluencing factor هو اللي بيحدد الability to + +393 +00:32:38,690 --> 00:32:44,250 +respond to an antigen وبالتجربة + +394 +00:32:44,250 --> 00:32:47,230 +وجدوا انه في stream of mice with different MHC + +395 +00:32:47,230 --> 00:32:52,370 +haplotype بتختلف في ردود فعلها المناعية في إنتاج + +396 +00:32:52,370 --> 00:32:57,190 +antibody response to specific antigen ومن يحدد ذلك + +397 +00:32:57,190 --> 00:33:01,590 +هو ال expression of MHC class II moleculeوهي محددة + +398 +00:33:01,590 --> 00:33:06,970 +لكل انتجين وإن الجينات الموجودة داخل الموليكول MSC + +399 +00:33:06,970 --> 00:33:15,150 +تلقى رولية أساسية ضد مستخدمين مفاجئين وهذا طبيعي + +400 +00:33:15,150 --> 00:33:20,730 +جدا كنا بنعرف إنه حتى إن الانسان رد قدود فعل الجسم + +401 +00:33:20,730 --> 00:33:25,510 +المنعية بتختلف من واحد شخص لآخر باختلاف الجينات أو + +402 +00:33:25,510 --> 00:33:31,740 +ال expression of MSC موليكولالـ Extensive Sequence + +403 +00:33:31,740 --> 00:33:37,920 +of Polymorphism للـ MSC Molecule له دور كبير على + +404 +00:33:37,920 --> 00:33:41,420 +الـ Peptide Binding وبالتالي على الـ T Cell + +405 +00:33:41,420 --> 00:33:48,300 +Activation نعرف كلنا الـ MSC Gene are Polymorphic + +406 +00:33:48,300 --> 00:33:56,320 +Genes MSC Gen أيضاً يميز على الانتقال للعنوان + +407 +00:33:56,320 --> 00:33:57,240 +الانتقال الانتقال الانتقال الانتقال الانتقال + +408 +00:33:57,240 --> 00:33:59,450 +الانتقال الانتقال الانتقال الانتقالوفي أمثلة كثيرة + +409 +00:33:59,450 --> 00:34:03,630 +على ذلك فعلى سبيل المثال الانسولين depending on + +410 +00:34:03,630 --> 00:34:08,070 +diabetes mellitus وهذا عبارة عن autoimmune disease + +411 +00:34:08,070 --> 00:34:13,010 +اللي بيصير فيه ان ال beta cell تبعت البنكريا are + +412 +00:34:13,010 --> 00:34:22,210 +destroyed بواسطة خلايا مناعية هذا المرضهو مرتبط + +413 +00:34:22,210 --> 00:34:29,130 +بـHLA-DR3 وHLA-DR4 وبالتالي يوم نفحص ونلاقي فيه + +414 +00:34:29,130 --> 00:34:34,930 +زيادة في DR3 وDR4 اي تيروزايكس بنلاقي high risk of + +415 +00:34:34,930 --> 00:34:41,390 +diabetes mellitus عند المرضى ادول اخرى MC Linked + +416 +00:34:41,390 --> 00:34:46,970 +وجدوهامتعلقة بالـ Proteolysis وTransport of + +417 +00:34:46,970 --> 00:34:53,250 +Antigen Peptide To MHC Molecule For Representation + +418 +00:34:53,250 --> 00:34:59,750 +To Cell Of The Immune System طيب هذا بالنسبالي للـ + +419 +00:34:59,750 --> 00:35:05,670 +MHC جين طب فيه Non MHC جين قالوا فيه Non MHC جين + +420 +00:35:05,670 --> 00:35:09,130 +أيضا تلعب دور كبير في Modulation Of Immune + +421 +00:35:09,130 --> 00:35:14,150 +Responseهؤلاء الجنسين ليسوا بوليمورفيك أقل من الـ + +422 +00:35:14,150 --> 00:35:19,130 +MHC جين وبالتالي فإن أفكتهم مظهر بشكل واضح في + +423 +00:35:19,130 --> 00:35:20,410 +اتصال اتصال اتصال اتصال بشكل اتصال بشكل اتصال بشكل + +424 +00:35:20,410 --> 00:35:21,330 +اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال + +425 +00:35:21,330 --> 00:35:25,870 +بشكل اتصال + +426 +00:35:25,870 --> 00:35:25,990 +بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل + +427 +00:35:25,990 --> 00:35:26,470 +اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال + +428 +00:35:26,470 --> 00:35:33,070 +بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل + +429 +00:35:33,070 --> 00:35:37,230 +اتصال + +430 +00:35:37,230 --> 00:35:42,410 +بشهي موجودة في الـ SLE ناس اللي عندهم مخاطر في + +431 +00:35:42,410 --> 00:35:47,010 +كومبلمنت ثلاثة لديها اكتشاف اكتشاف بكتيريال + +432 +00:35:47,010 --> 00:35:53,870 +الانفكاش وموجودة في اميون كومبليكس ناس اللي عندهم + +433 +00:35:53,870 --> 00:36:03,260 +high IgEالتصميم اللي هم ملاقة بالـ + +434 +00:36:03,260 --> 00:36:12,620 +Atopy gene or human chromosome 11 EQ ايضا + +435 +00:36:12,620 --> 00:36:18,180 +انا امسي لك جين Linked gene affects susceptibility + +436 +00:36:18,180 --> 00:36:21,660 +to infection فال macro phage activity are + +437 +00:36:21,660 --> 00:36:30,890 +regulated by specific geneأيضًا الـ LSH-ITY-BIG + +438 +00:36:30,890 --> 00:36:34,850 +جين تتحكم + +439 +00:36:34,850 --> 00:36:38,190 +في الـ Early Response to Infection with + +440 +00:36:38,190 --> 00:36:42,890 +Mycobacterium and Salmonella يعني لو الـ Response + +441 +00:36:42,890 --> 00:36:48,290 +بيكون على شكل Upregulation of Oxidative Burst على + +442 +00:36:48,290 --> 00:36:52,910 +شكل Enhanced Tumor Cedule Activityإنها Anti + +443 +00:36:52,910 --> 00:36:57,650 +-Microbial Activity Upregulation of Expression للـ + +444 +00:36:57,650 --> 00:37:03,410 +MSC Class II موليكيول. Polymorphism أيضًا في الجين + +445 +00:37:03,410 --> 00:37:08,390 +يحتوي على سايتوكرالريسيبتر اللي هي دور كبير اللي + +446 +00:37:08,390 --> 00:37:12,380 +هي علاقة كبيرةwith increased susceptibility to + +447 +00:37:12,380 --> 00:37:17,300 +SCID اللي هو severe compound immunodeficiency or + +448 +00:37:17,300 --> 00:37:24,020 +inflammatory condition ال outcome of mutation is + +449 +00:37:24,020 --> 00:37:32,540 +dependent على ال cytokine gene فعلى سبيل المثال + +450 +00:37:32,540 --> 00:37:37,700 +human mutation IL-7R التسيبتور يعني بت + +451 +00:37:43,300 --> 00:37:47,520 +والناس اللي عندهم أيضًا common cytokine receptor + +452 +00:37:47,520 --> 00:37:52,520 +Gamma deficiency أيضًا which is a component of + +453 +00:37:52,520 --> 00:37:57,520 +functional receptor للـ IL-2، IL-4، IL-7، IL-9، IL + +454 +00:37:57,520 --> 00:38:03,520 +-15 عندهم reduced number لـ T cell و لـ NK cell و + +455 +00:38:03,520 --> 00:38:08,970 +عندهم impairment لـ B cell functionوبعد مرات في تي + +456 +00:38:08,970 --> 00:38:14,670 +سيل نقص + +457 +00:38:14,670 --> 00:38:23,450 +جزء في تي سيل help فده هي الصورة زي ما انتوا + +458 +00:38:23,450 --> 00:38:31,930 +شايفين انا داينا عندنا IL-2 receptor IL-7 + +459 +00:38:31,930 --> 00:38:32,570 +receptor + +460 +00:38:36,010 --> 00:38:43,290 +كما تشاهدون رسبتور هى عبارة عن ثلاثة بوريب بتاعة + +461 +00:38:43,290 --> 00:38:50,910 +الـ Chain وهى فيها Common Gamma Chain موجودة + +462 +00:38:50,910 --> 00:38:54,950 +موجودة + +463 +00:38:54,950 --> 00:38:59,990 +موجودة موجودة موجودة موجودة موجودة موجودة موجودة + +464 +00:38:59,990 --> 00:39:09,240 +موجودة موجودة موجودةبصير فيه اللي هو T cell ناشي + +465 +00:39:09,240 --> 00:39:17,100 +فيه loss لل T cell فيه loss لل NK cellو بينما ال + +466 +00:39:17,100 --> 00:39:22,720 +بي لينفوسايت بقى موجودة بينما هنا برضه ال IAL7 + +467 +00:39:22,720 --> 00:39:29,520 +ريسبتور يوم ما يكون فيه هذا هي defect in IAL7 + +468 +00:39:29,520 --> 00:39:34,680 +ريسبتور مش موجودة هذا هو بيصير فيه الاصلة T cell + +469 +00:39:34,680 --> 00:39:38,260 +بينما ال B cell و ال NK cell still there + +470 +00:39:40,910 --> 00:39:47,330 +هذا هو role of mutation in cytokine receptor gene + +471 +00:39:47,330 --> 00:39:51,550 +in severe combined immunodeficiency طبعا غيب T + +472 +00:39:51,550 --> 00:39:56,250 +cell و K cell يعني فيه infectious states + +473 +00:39:57,930 --> 00:40:04,470 +ماشي و أيها نفس الحكاية telephosites غيابة بيعمل + +474 +00:40:04,470 --> 00:40:08,590 +severe compound لإن هي اللي بتوزع الأدوار و هي + +475 +00:40:08,590 --> 00:40:13,550 +المهمة جدا في ال immune response بعد ان نكون خلصنا + +476 +00:40:13,550 --> 00:40:17,450 +المحاضرة نتمنى ان تكون غطينا اللي هو ال immune + +477 +00:40:17,450 --> 00:40:21,090 +response regulatory factors + +478 +00:40:26,320 --> 00:40:29,380 +شكرين حسن الاستماع + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/hvyPC5Qp3dE_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/hvyPC5Qp3dE_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..b36d296736a59c696def0fd78538863b89e3bd6b --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/hvyPC5Qp3dE_raw.srt @@ -0,0 +1,1932 @@ +1 +00:00:01,890 --> 00:00:04,870 +بسم الله الرحمن الرحيم والصلاة والسلام على سيد + +2 +00:00:04,870 --> 00:00:10,110 +الخلق الأجمعين سيدنا محمد الصادق الأمين وبعد + +3 +00:00:10,110 --> 00:00:13,410 +محاضرتنا اليوم على regulation of the immune + +4 +00:00:13,410 --> 00:00:19,350 +response ال immune response تهيأب مرايتي of + +5 +00:00:19,350 --> 00:00:24,090 +control mechanism ليس ميكانيزم الوالي works + +6 +00:00:26,810 --> 00:00:31,750 +الشباب موجودين في حالتهم الانتجينية لكنهم بيشتغلوا + +7 +00:00:31,750 --> 00:00:42,550 +يوم الانتجين لا يزال محتاجيعني يوم ما نتخلص من + +8 +00:00:42,550 --> 00:00:47,710 +الانتجين مافي داعي لشغل هذه الميكانيزمات تشتغل يوم + +9 +00:00:47,710 --> 00:00:53,130 +ما نبطل نحتاج الى ال immune response كيف تعمل هذه + +10 +00:00:53,130 --> 00:00:58,450 +الميكانيزمات قالوا بتعمل لأ بتؤثر على العوامل التي + +11 +00:00:58,450 --> 00:01:03,630 +تؤثر في ال immune response وهذه العوامل عدة منها + +12 +00:01:03,630 --> 00:01:06,650 +the form and root of administration of antigen + +13 +00:01:07,550 --> 00:01:10,610 +Antigen presenting cell, genetic background of + +14 +00:01:10,610 --> 00:01:14,790 +individual, history of previous exposure and + +15 +00:01:14,790 --> 00:01:19,930 +specific antibody also may modulate the immune + +16 +00:01:19,930 --> 00:01:24,330 +response to an antigen هنبدأ نحكي على كل واحد على + +17 +00:01:24,330 --> 00:01:28,570 +حد ان شاء الله ونبدأ + +18 +00:01:36,410 --> 00:01:45,690 +بالأول هذه العوامل وهي regulation by antigen نقل + +19 +00:01:45,690 --> 00:01:51,410 +واحد nature of antigen طبعا نعرف انه different + +20 +00:01:51,410 --> 00:01:54,370 +antigen ممكن تعمل انها different immune responses + +21 +00:01:55,780 --> 00:02:00,720 +فعلى سبيل المثال polysaccharides antigen أو + +22 +00:02:00,720 --> 00:02:06,020 +بكتيريا cell membrane و بكتيريا induce IgM + +23 +00:02:06,020 --> 00:02:10,520 +response بينما البروتين can induce both cell + +24 +00:02:10,520 --> 00:02:13,840 +-mediated immunity and humoral immune response + +25 +00:02:13,840 --> 00:02:16,560 +والمقصود ب humoral immune response يعني antibody + +26 +00:02:16,560 --> 00:02:22,420 +production هم أيضا الانتراث للورقنزمبإمكانها تدخل + +27 +00:02:22,420 --> 00:02:26,580 +الـ Cell-mediated immune response بينما البروتين + +28 +00:02:26,580 --> 00:02:28,840 +الصليبلي بإمكانها تدخل الـHumoral immune response + +29 +00:02:28,840 --> 00:02:33,680 +أيضًا الـ Cell-mediated immunity بإمكانها تدخل أو + +30 +00:02:33,680 --> 00:02:40,060 +تدخل من أجنطة مثل سيليكا نمرا اتنين دوز انتجين + +31 +00:02:40,060 --> 00:02:43,360 +كمية الانتجين اللي بتدخل على سبيل الـ Very Large + +32 +00:02:43,360 --> 00:02:47,040 +Dose بإمكانها تدخل الـ Tolerance for P and T Cell + +33 +00:02:47,040 --> 00:02:50,440 +بينما + +34 +00:02:51,720 --> 00:02:56,260 +أيها administration of antigen أيضا to neonate + +35 +00:02:56,260 --> 00:03:00,540 +mice غالبا بيحصل فيه tolerance في هذه المرحلة + +36 +00:03:00,540 --> 00:03:06,800 +بيقولوا لإن ال immune response is immature بما في + +37 +00:03:06,800 --> 00:03:12,620 +حين ال recent study أثبتت على إنه أيضا ال neonate + +38 +00:03:12,620 --> 00:03:17,150 +mice can develop efficient immune responseالنقطة + +39 +00:03:17,150 --> 00:03:22,130 +التانية T independent polysaccharide antigen can + +40 +00:03:22,130 --> 00:03:26,830 +generate tolerance للبيلين فالسيوم ما اندخلها + +41 +00:03:26,830 --> 00:03:31,050 +بكميات كبيرة احنا عارفين الفرق بين ال T I و T + +42 +00:03:31,050 --> 00:03:35,090 +dependent antigen + +43 +00:03:37,210 --> 00:03:39,830 +النقطة التالتة بالنسبة للانتيجين ال route of + +44 +00:03:39,830 --> 00:03:43,170 +administration كيف يدخل للانتيجين قالوا اللي له + +45 +00:03:43,170 --> 00:03:47,950 +دخل كبير في عملية اللي هو ال control of immune + +46 +00:03:47,950 --> 00:03:50,870 +response فعلى سبيل المثال subcutaneous و ال intra + +47 +00:03:50,870 --> 00:03:55,050 +dermal administration للانتيجين can induce strong + +48 +00:03:55,050 --> 00:03:59,230 +immune response بينما ال intravenous و ال oral and + +49 +00:03:59,230 --> 00:04:02,310 +erosal may cause tolerance + +50 +00:04:05,290 --> 00:04:10,450 +حاجة تانية التجربة اثبتت ان الميس اللى بنعطى + +51 +00:04:10,450 --> 00:04:16,070 +subcutaneous peptide او antigen مرتبطة بـ fronds + +52 +00:04:16,070 --> 00:04:23,710 +adjuvant لسبب مثال كوريو نينجايتس فيروس مثلا + +53 +00:04:27,970 --> 00:04:33,390 +بينما إذا كان اعطينا repeated injection of the + +54 +00:04:33,390 --> 00:04:38,290 +same antigen لكن intra peritoneally مش intra مش + +55 +00:04:38,290 --> 00:04:42,610 +subcutaneously it will induce tolerance + +56 +00:04:46,920 --> 00:04:50,160 +الحاجة التانية اللى هو ال antigen presenting cell + +57 +00:04:50,160 --> 00:04:52,720 +اللى بيبقى حاكينا عن ال antigen نقطة تانية antigen + +58 +00:04:52,720 --> 00:04:54,900 +presenting cell كلنا بنعرف ان ال antigen + +59 +00:04:54,900 --> 00:04:58,080 +presenting cell تقسم إلى نوعين professional و non + +60 +00:04:58,080 --> 00:05:02,160 +professional ال professional اللى هى التلاتة أنواع + +61 +00:05:02,160 --> 00:05:05,400 +الأساسية macrophage, dendritic cell وmelanophosite + +62 +00:05:05,400 --> 00:05:10,640 +وسميناهم professional لإن هم يستطيعون تفكير + +63 +00:05:10,640 --> 00:05:14,100 +موليكيول + +64 +00:05:14,100 --> 00:05:15,320 +كوستيميلاتوري + +65 +00:05:17,990 --> 00:05:21,790 +وبالتالي يجب أن يكون هناك امارسي موليكيول مع كوستي + +66 +00:05:21,790 --> 00:05:25,750 +مداتري موليكيول مبناطه في افكتف اكتفيش + +67 +00:05:25,750 --> 00:05:29,930 +للتيليمفوسايت لأنهم يوضعون الانتجنت لتيليمفوسايت + +68 +00:05:29,930 --> 00:05:35,050 +ايضا نقطة تانية اللي قلناها يجب ان يكون هناك اتفاق + +69 +00:05:35,050 --> 00:05:39,590 +بين CD4T ليجند اللي موجود على التيليمفوسايت وCD4T + +70 +00:05:39,590 --> 00:05:44,250 +اللي موجود على الدنترتيكسل مهم جدا في إنتاج IL-12 + +71 +00:05:44,250 --> 00:05:46,590 +و IL-12 بعمل ديرين + +72 +00:06:01,640 --> 00:06:06,460 +نقطة تانية اذا الانتجار مواجه تي سيلبالنسبة لـ Non + +73 +00:06:06,460 --> 00:06:11,660 +-Professional كما قلنا هؤلاء الجسد لا يستطيع أن + +74 +00:06:11,660 --> 00:06:12,840 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +75 +00:06:12,840 --> 00:06:13,020 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +76 +00:06:13,020 --> 00:06:18,300 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +77 +00:06:18,300 --> 00:06:18,600 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +78 +00:06:18,600 --> 00:06:18,620 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +79 +00:06:18,620 --> 00:06:23,940 +يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر يقدر + +80 +00:06:23,940 --> 00:06:23,940 +يقدر يقدر يقدر يقدر يقدر + +81 +00:06:38,400 --> 00:06:42,380 +النقطة التالتة هي regulation by antibody طبعا كلنا + +82 +00:06:42,380 --> 00:06:46,880 +بنعرف ان ال antibody له دور كبير في عملية ال + +83 +00:06:46,880 --> 00:06:53,440 +immune response either stimulate او suppress على + +84 +00:06:53,440 --> 00:07:00,680 +سبيل المثال يوم تعطي IGM انتيجين it will induce و + +85 +00:07:00,680 --> 00:07:05,720 +enhance immune response بينما يوم تعطي IGG + +86 +00:07:05,720 --> 00:07:07,060 +antibody + +87 +00:07:08,930 --> 00:07:15,750 +سوف تتخلص من اجهزة الانفجار الانفجار + +88 +00:07:15,750 --> 00:07:20,830 +الانفجارالـ Vaccine for Moms and Measles بتأخر + +89 +00:07:20,830 --> 00:07:26,490 +لبعد الست شهور الأولى من الولادة، ليش؟ لأنه لسه + +90 +00:07:26,490 --> 00:07:33,490 +IGG-Titer of Maternal IGG-Titer still is high for + +91 +00:07:33,490 --> 00:07:38,130 +the first six months after فيها درس، فبيأخروا عشان + +92 +00:07:38,130 --> 00:07:42,680 +مايأثرش على ال immune responseأيضًا الـ RH + +93 +00:07:42,680 --> 00:07:45,320 +incompatibility الـ Anti-RH هو واضح عن الـ Anti + +94 +00:07:45,320 --> 00:07:46,060 +-IGG + +95 +00:07:51,840 --> 00:07:57,620 +الأنتيجن الانتيبادي يمكنه أيضًا بلق الانتراكشن بين + +96 +00:07:57,620 --> 00:08:04,880 +الابيطوبات والمحطات الاميونغلوبيلين بي سيل + +97 +00:08:04,880 --> 00:08:06,800 +الاميونغلوبيلين بي سيل ال بي سيل ال بي سيل ال بي + +98 +00:08:06,800 --> 00:08:07,060 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +99 +00:08:07,060 --> 00:08:07,100 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +100 +00:08:07,100 --> 00:08:08,520 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +101 +00:08:08,520 --> 00:08:12,860 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +102 +00:08:12,860 --> 00:08:13,460 +سيل ال بي سيل ال بي سيل ال بي سيل ال بي سيل ال بي + +103 +00:08:13,460 --> 00:08:20,910 +سيل ال بي سيل ال بي سيل ال بي سيلبالتالي لديه دور + +104 +00:08:20,910 --> 00:08:25,510 +في عملية ال regulation المهم لها اربعة دي + +105 +00:08:25,510 --> 00:08:28,650 +Regulation + +106 +00:08:28,650 --> 00:08:30,550 +of lymphocytes + +107 +00:08:32,150 --> 00:08:36,810 +في عملية تحديد نوع ال immune response ففي عندنا + +108 +00:08:36,810 --> 00:08:41,230 +different subset of T-Helper cell these kind of + +109 +00:08:41,230 --> 00:08:44,470 +cells that can differentiate either to T-Helper + +110 +00:08:44,470 --> 00:08:49,210 +one or T-Helper two وكل واحدة اللي هي type of + +111 +00:08:49,210 --> 00:08:52,210 +immune response فT-Helper one على سبيل المثال + +112 +00:08:52,210 --> 00:08:57,850 +induce اللي هوسيل ميديت الانفجار الانفجار الانفجار + +113 +00:08:57,850 --> 00:09:02,170 +الانفجار + +114 +00:09:02,170 --> 00:09:05,770 +الانفجار الانفجار الانفجار الانفجار الانفجار + +115 +00:09:05,770 --> 00:09:05,890 +الانفجار الانفجار الانفجار الانفجار الانفجار + +116 +00:09:05,890 --> 00:09:06,310 +الانفجار الانفجار الانفجار الانفجار الانفجار + +117 +00:09:06,310 --> 00:09:07,610 +الانفجار الانفجار الانفجار الانفجار الانفجار + +118 +00:09:07,610 --> 00:09:07,610 +الانفجار الانفجار الانفجار الانفجار الانفجار + +119 +00:09:07,610 --> 00:09:07,610 +الانفجار الانفجار الانفجار الانفجار الانفجار + +120 +00:09:07,610 --> 00:09:09,950 +الانفجار الانفجار الانفجار الانفجار الانفجار + +121 +00:09:09,950 --> 00:09:12,910 +الانفجار الانفجار الانفجار الانفجار الانفو طبعاً + +122 +00:09:12,910 --> 00:09:21,750 +فينا different types of T-Helper cell subsets فينا + +123 +00:09:21,750 --> 00:09:30,530 +تيريك و فينا TR1 و فينا TEM كلهم خلايا على سطحهم + +124 +00:09:30,530 --> 00:09:32,070 +CD4 positive + +125 +00:09:35,710 --> 00:09:40,390 +فوكس بي تلاتة هو من يحدد ال expression of other + +126 +00:09:40,390 --> 00:09:47,330 +receptor على سطح الخلايا ماشي كل واحدة انها دور + +127 +00:09:47,330 --> 00:09:52,920 +معين فعلى سبيل .. و بتفرز cytokine معينعلى سبيل + +128 +00:09:52,920 --> 00:09:57,620 +المثال تي ريج سيكريت ترانسفورم روز فاكتور ميتا تي + +129 +00:09:57,620 --> 00:10:03,700 +اروان تعطينا aisle 10 بينما تي اي ام تعطينا aisle + +130 +00:10:03,700 --> 00:10:08,560 +2 جامع انترفيرون عن aisle 4 وتخيلوا كل واحد له دور + +131 +00:10:08,560 --> 00:10:13,920 +معين فيا CD4 positive في كل الخلايا can be + +132 +00:10:13,920 --> 00:10:20,080 +differentiated CD4 positive 25 negative بثلاثة + +133 +00:10:20,080 --> 00:10:23,730 +negative في الأساسإذا في وجود Transforming Growth + +134 +00:10:23,730 --> 00:10:26,310 +Factor Beta بيصير فيه Expression لـ Other + +135 +00:10:26,310 --> 00:10:33,010 +Receptors زي CD25 وFoxP3 Positive وبتسموا الخلية + +136 +00:10:33,010 --> 00:10:38,210 +في هذا الحالة Induced Treg Which Can Secret Large + +137 +00:10:38,210 --> 00:10:41,790 +Amount Of Transforming Growth Factor Beta By Cell + +138 +00:10:41,790 --> 00:10:45,210 +To Solve Contact And Inhibit The Immune Response + +139 +00:10:45,210 --> 00:10:51,090 +أيضا في وجود هذه الخلية في وجود الـ Antigen Still + +140 +00:10:52,390 --> 00:10:58,930 +بتدل زي ما هي و بتتحول الى الـ TEM effector memory + +141 +00:10:58,930 --> 00:11:02,790 +cell which can induce immune response من خلال + +142 +00:11:02,790 --> 00:11:05,390 +إفراز certain cytokines زي ال IL-2 gamma + +143 +00:11:05,390 --> 00:11:12,750 +interferon IL-4 and other cytokine أيضا في وجود IL + +144 +00:11:12,750 --> 00:11:18,950 +-10 هذه الخنية can express FOXP3 positive و يدل ال + +145 +00:11:18,950 --> 00:11:23,760 +CD25 نيجاتي و بيسموها TR1الذي يمكن أن يحفظ الـ IL + +146 +00:11:23,760 --> 00:11:29,700 +-10 وهو الهيبوتوري سايتوكاين اللي يمكن أن يهيبط + +147 +00:11:29,700 --> 00:11:34,120 +اكتفاء الديه البار + +148 +00:11:41,340 --> 00:11:45,540 +أيو تيرينج هذا شريح طبعا للصيادين هذوله شريح لماذا + +149 +00:11:45,540 --> 00:11:51,580 +شرحته على الفيجر أيو تيرينج cell selectively + +150 +00:11:51,580 --> 00:11:55,460 +express فوكس بي تلاتة وده عبارة عن transcriptional + +151 +00:11:55,460 --> 00:11:59,680 +factor essential for the development and function + +152 +00:11:59,680 --> 00:12:07,440 +of CD4 وCD25 and تيرينج ال mutation في فوكس بي + +153 +00:12:07,440 --> 00:12:13,350 +تلاتة وجدوا بعملImmune dysregulation يبقى مهم جدا + +154 +00:12:13,350 --> 00:12:17,430 +لفوكس بي تلاتة فيها expression of other اللي هو + +155 +00:12:17,430 --> 00:12:23,990 +الريسبتر على سطح الخلايا CD4 positive CD25 + +156 +00:12:23,990 --> 00:12:27,630 +positive ماشي الهيتاريك have immune suppression + +157 +00:12:27,630 --> 00:12:32,130 +function شو بتعمل prevent self reactivity يعني + +158 +00:12:32,130 --> 00:12:33,890 +prevent auto immunity + +159 +00:12:36,760 --> 00:12:41,620 +هذا الـ T-Rig يمكن أن يعمل أيضًا في الوصول إلى + +160 +00:12:41,620 --> 00:12:43,700 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +161 +00:12:43,700 --> 00:12:44,200 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +162 +00:12:44,200 --> 00:12:46,860 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +163 +00:12:46,860 --> 00:12:48,320 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +164 +00:12:48,320 --> 00:12:49,860 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +165 +00:12:49,860 --> 00:12:49,860 +إلى الوصول إلى الوصول إلى الوصول إلى الوصول إلى + +166 +00:12:49,860 --> 00:12:50,760 +الوصول إلى الوصول إلى الوصول إلى الوصول إلى الوصول + +167 +00:12:50,760 --> 00:12:55,500 +إلى الوصول + +168 +00:12:55,500 --> 00:12:56,940 +إلى الوصول + +169 +00:13:00,330 --> 00:13:04,830 +على إضافة لـ naturally occurring CD4 positive CD25 + +170 +00:13:04,830 --> 00:13:13,390 +positive Treg التي تم تجريها في الـ Thymus يوجد + +171 +00:13:13,390 --> 00:13:20,290 +نوع من الـ CD4 regulatory cell يمكن أن يتم تطبيقه + +172 +00:13:20,290 --> 00:13:24,990 +في الـ periphery نوعين مهمين جدا، واحد اسمه TR1 + +173 +00:13:24,990 --> 00:13:25,570 +والثالث + +174 +00:13:29,040 --> 00:13:32,860 +هؤلاء هم مجتمعات مستعمرة ومستعمرة وكانوا موجودين + +175 +00:13:32,860 --> 00:13:38,260 +في البريفريات وقت ايش جالوا اتجاوز اتجاوز اتجاز + +176 +00:13:38,260 --> 00:13:39,820 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +177 +00:13:39,820 --> 00:13:43,940 +اتجاز اتجاز اتجاز + +178 +00:13:43,940 --> 00:13:46,960 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +179 +00:13:46,960 --> 00:13:47,040 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +180 +00:13:47,040 --> 00:13:47,160 +اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز اتجاز + +181 +00:13:47,160 --> 00:13:53,100 +اتجاز اتجاز اتجاز اتجاز + +182 +00:13:53,100 --> 00:13:57,680 +اتجاز اتجاز + +183 +00:13:57,680 --> 00:14:02,230 +اتيعني انهيبط اي ميو ريسبونس a CD4 positive + +184 +00:14:02,230 --> 00:14:05,570 +regulatory T cell can also be generated from + +185 +00:14:05,570 --> 00:14:08,550 +antigen experience in the presence of certain + +186 +00:14:08,550 --> 00:14:13,730 +cytokine اللي + +187 +00:14:13,730 --> 00:14:19,350 +هي التالتة في وجود آيالتينبيصير فيه expression لـ + +188 +00:14:19,350 --> 00:14:25,970 +TR1 فُكس بي تلاتة بيصير positive CD25 is negative + +189 +00:14:25,970 --> 00:14:32,130 +لكن بيصير فيه expression ل IL10 و تشملية + +190 +00:14:32,130 --> 00:14:36,970 +suppression for the immune response إذا كان CD4 + +191 +00:14:36,970 --> 00:14:42,390 +positive regulatory T cell are generated في وجود + +192 +00:14:42,390 --> 00:14:45,680 +ال transform growth factor Betaيستطيعوا أن + +193 +00:14:45,680 --> 00:14:51,480 +يتعاملوا بـ FOXP-B3 ويعملوا تحرير لـ CD25 وهذا + +194 +00:14:51,480 --> 00:14:54,720 +يدفع إلى تصميم الـ Transformed Growth Fact Beta + +195 +00:14:54,720 --> 00:15:00,540 +اللي يعمل تحرير للردد الإيميوني تيهيلبرتالاتا تعمل + +196 +00:15:00,540 --> 00:15:05,540 +اورال توليرانس يعني الأكل اللي بناكله مليان + +197 +00:15:05,540 --> 00:15:10,160 +انتجينات اذا او ليش بيصيبش فيه الـ immune response + +198 +00:15:10,160 --> 00:15:15,000 +لأنه بتتواجد تيهيلبرتالاتاوهي المسؤولة عن الـ Oral + +199 +00:15:15,000 --> 00:15:21,280 +Tolerance وموجودة في الـ Mucosal Membrane of the + +200 +00:15:21,280 --> 00:15:26,040 +Gut ايش بيعملوا؟ قالوا انهم يصنعون Transforming + +201 +00:15:26,040 --> 00:15:31,860 +Growth Factor Beta بكميات كبيرة وهذا عبارة عن + +202 +00:15:31,860 --> 00:15:41,180 +Nebutary Cytokine بالاضافة إلى IL-10 و IL-4 اللي + +203 +00:15:41,180 --> 00:15:48,240 +مسؤولين عنالـ T-hepartalata differentiation غياب + +204 +00:15:48,240 --> 00:15:52,340 +الـ T-hepartalata is associated with inflammatory + +205 +00:15:52,340 --> 00:16:03,700 +bowel disease أيضا CD4 positive T cell can induce + +206 +00:16:03,700 --> 00:16:07,100 +prevent the induction of autoimmunity + +207 +00:16:11,440 --> 00:16:14,040 +واجهته أيضًا إنه ال administration of high doses + +208 +00:16:14,040 --> 00:16:18,180 +of autoantigen can prevent induction of + +209 +00:16:18,180 --> 00:16:23,500 +autoimmunity this inhibition غالبًا is due to CD4 + +210 +00:16:23,500 --> 00:16:28,680 +positive T cell which inhibit the development of + +211 +00:16:28,680 --> 00:16:33,300 +autoimmune autoantibody sorry as well as + +212 +00:16:33,300 --> 00:16:37,840 +autoimmune disease it's suggested that the + +213 +00:16:37,840 --> 00:16:40,720 +suppression is involved + +214 +00:16:42,780 --> 00:16:47,600 +by the transforming growth factor beta in IL-10 + +215 +00:16:47,600 --> 00:16:53,960 +أيضا تيهيلبر subset are involved in the regulation + +216 +00:16:53,960 --> 00:16:57,580 +of immunoglobulin production فعلى سبيل المثال + +217 +00:16:57,580 --> 00:17:04,840 +Gamma interferon is secreted from T-Helper I تعمل + +218 +00:17:04,840 --> 00:17:09,520 +انهي بشلة T-Helper II و IL-10 اللي بطلع من T + +219 +00:17:09,520 --> 00:17:15,390 +-Helper IIبإمكانه تخلص من الاسم P7 و IL-12 من خلال + +220 +00:17:15,390 --> 00:17:17,650 +انتجين الـPresenting Cell وبالتالي بيعمل + +221 +00:17:17,650 --> 00:17:21,490 +Inhibition لـ Tlbar-1 Activation وبالتالي فى + +222 +00:17:21,490 --> 00:17:31,330 +Regulation ما بين Tlbar-1 وTlbar-2 Cell IL-12 مهم + +223 +00:17:31,330 --> 00:17:35,550 +جدا فى عملية ال development في Tlbar-1 وTlbar-2 + +224 +00:17:35,550 --> 00:17:40,530 +بيعمل Balance كمان بين هذه الخلاياوبالتالي + +225 +00:17:40,530 --> 00:17:48,070 +Modulation of IL-12 is required هو من الـ Receptor + +226 +00:17:48,070 --> 00:17:55,190 +تبعه IL-12 Receptor T cell subset development is + +227 +00:17:55,190 --> 00:18:00,350 +influenced by interferon alpha شو بعمل ال + +228 +00:18:00,350 --> 00:18:05,810 +interferon alpha؟ جعله بيحدد المسار T helper cell + +229 +00:18:05,810 --> 00:18:11,900 +to T helper oneحتى في وجود IL-4 اللي أصلا مطلوب لـ + +230 +00:18:11,900 --> 00:18:16,500 +T helper-2 pathway الـ Alpha interferon بيعمله + +231 +00:18:16,500 --> 00:18:20,160 +Neutralization وبيعمل Neutralization ل IL-12 + +232 +00:18:20,160 --> 00:18:23,660 +وبالتالي + +233 +00:18:23,660 --> 00:18:29,960 +بيصير في اللي هو تفضيل لـ T helper-1 + +234 +00:18:35,000 --> 00:18:42,600 +أو الـ T-Alberto immune response الفيجور الأتي + +235 +00:18:42,600 --> 00:18:53,200 +أيضا 11.10 بيحدد CD8 positive T cell can transfer + +236 +00:18:53,200 --> 00:18:59,500 +resistance and tolerance و أيضا بواسط Transforming + +237 +00:18:59,500 --> 00:19:05,980 +Growth Factor Betaشوفوا الفيجر كيفية التحكم بعملية + +238 +00:19:05,980 --> 00:19:12,600 +الـ IL-12 والـ IL-12 ريسبتر يعني انتبهوا للفيجر + +239 +00:19:12,600 --> 00:19:16,760 +يعني ال IL-12 أيضا هو عبارة عن cytokine released + +240 +00:19:16,760 --> 00:19:21,520 +from ال monocytes وهي عبارة عن phagocytic + +241 +00:19:21,520 --> 00:19:28,420 +mononuclear phagocytic cell فبالتالي once released + +242 +00:19:28,420 --> 00:19:37,570 +ماشيبعمل induction أو بعمل بيساعد + +243 +00:19:37,570 --> 00:19:43,130 +في ال production of IL-12 Receptor IL-12 Receptor + +244 +00:19:43,130 --> 00:19:48,110 +زي ما انتوا شايفين بيتكوّن من two chain B1 B2 وهو + +245 +00:19:48,110 --> 00:19:56,520 +بالذات بعمل production ل B1وبالتالي بيكتمل وجود + +246 +00:19:56,520 --> 00:20:00,220 +اللي هو الـ Receptor على سطح الـ T-Helper-1 و + +247 +00:20:00,220 --> 00:20:04,340 +بالمناسبة الـ IL-12 Receptor موجود فقط على الـ T + +248 +00:20:04,340 --> 00:20:12,000 +-Helper-1 Cell يبدأ عملية الـ Moduling أو عملية + +249 +00:20:12,000 --> 00:20:16,540 +التحكم بIL-12 اللي بيطلع من الـ Monocytes اللي + +250 +00:20:16,540 --> 00:20:22,240 +بيتحكم في تكوين ال IL-12 Receptor على سطح الـ T + +251 +00:20:22,240 --> 00:20:26,910 +-Helper-1 Cellممكن نتحكم فيه وقالوا انك تتحكم في + +252 +00:20:26,910 --> 00:20:30,370 +الـ T helper 2 من خلال إفراز IL-10 اللي بيعمل + +253 +00:20:30,370 --> 00:20:36,770 +انهيبشين لإفراز هذا الـ cytokine IL-T helper 2 كان + +254 +00:20:36,770 --> 00:20:41,710 +secret IL-4 و IL-4 شو بيعمل؟ بيعمل انهيبشين لـ + +255 +00:20:41,710 --> 00:20:44,210 +Gamma interferon شو بيعمل Gamma interferon؟ قالوا + +256 +00:20:44,210 --> 00:20:51,320 +بيعمل expression ل B1 chainأو الـ IL-12 ريسبتور + +257 +00:20:51,320 --> 00:20:54,960 +وبالتالي بيكتمل الـ receptor فبالتالي لو عملنا + +258 +00:20:54,960 --> 00:20:58,640 +annihilation للـ Gamma interferon بواسطة IL-4 اللي + +259 +00:20:58,640 --> 00:21:04,460 +بيطلع من T helper 2 بيصير فيه عدم expression لل IL + +260 +00:21:04,460 --> 00:21:08,000 +-12 receptor وإذا ما اتكونش ال IL-12 receptor + +261 +00:21:08,000 --> 00:21:13,360 +معناته مافيش T helper 1 اللي هو activity + +262 +00:21:18,750 --> 00:21:26,710 +regulation by NK و NKT كنا بنعرف أن الـ NK cell هي + +263 +00:21:26,710 --> 00:21:32,470 +عبارة عن خلية بتلعب دوري كبير في ال first line + +264 +00:21:32,470 --> 00:21:36,750 +defense mechanism for intracellular pathogen من + +265 +00:21:36,750 --> 00:21:41,310 +خلال إفرازها لـ Gamma interferon اللي بنشت مكروفيج + +266 +00:21:41,310 --> 00:21:45,910 +والمكروفيج can facilitate the differentiation of + +267 +00:21:47,930 --> 00:21:50,770 +التي البر وان زي ما اتفقنا بتنشيط ماكروفاج + +268 +00:21:50,770 --> 00:21:56,250 +وماكروفاج يعني phagocytosis فبنتخلص من ايش؟ من ال + +269 +00:21:56,250 --> 00:22:02,430 +.. ايضا التي البر وان كان can activate the + +270 +00:22:02,430 --> 00:22:10,290 +macrophage والانكس ال activity ممكنتتنشط أو can be + +271 +00:22:10,290 --> 00:22:12,750 +induced by a variety of cytokines منها الـ Alpha + +272 +00:22:12,750 --> 00:22:18,510 +Interferon و الـ Beta Interferon IL-15 IL-18 IL-12 + +273 +00:22:18,510 --> 00:22:24,390 +كلهم بنشطوا اللي هو الـ NK cell لكنها inhabited by + +274 +00:22:24,390 --> 00:22:29,410 +IL-10 and transforming growth factor beta يبقى في + +275 +00:22:29,410 --> 00:22:38,040 +دور اللي هو الـ NK cell بتنشطلنا زي ما قلنااللي هو + +276 +00:22:38,040 --> 00:22:42,920 +هي specific for intracellular pathogen من خلال + +277 +00:22:42,920 --> 00:22:45,980 +إيش؟ من خلال production of gamma interferon اللي + +278 +00:22:45,980 --> 00:22:52,860 +بنشت ميكروفيش وميكروفيش بتنشطيها بروان cell يعني + +279 +00:22:52,860 --> 00:22:57,600 +cell mediated immunity is in used وزي ما شفناها ال + +280 +00:22:57,600 --> 00:23:00,580 +cytokine اللي بتنشطها و ال cytokine اللي بيعملها + +281 +00:23:00,580 --> 00:23:06,060 +inhibitionبالمقابل الـ NKT cell أيضًا تخلق Gamma + +282 +00:23:06,060 --> 00:23:13,180 +Interferon اللي أيضًا بنشط الـ NK cell activation + +283 +00:23:13,180 --> 00:23:17,000 +وبالتالي بيحصل فيه زيادة في proliferation and + +284 +00:23:17,000 --> 00:23:24,200 +cytotoxicity for NK cell قدرة الـ NKT cell to + +285 +00:23:24,200 --> 00:23:29,560 +secrete IL-4 تعمل على prevention of autoimmune + +286 +00:23:29,560 --> 00:23:35,680 +diseaseوغياب هذه الخلية deficiency of NKT cell + +287 +00:23:35,680 --> 00:23:42,120 +يعني سجلت حالات من autoimmune diseases في غياب هذه + +288 +00:23:42,120 --> 00:23:47,360 +الخلية منها rheumatoid arthritis, psoriasis, + +289 +00:23:47,740 --> 00:23:53,660 +ulceration and ulcerative colitis and multiple + +290 +00:23:53,660 --> 00:23:57,000 +sclerosis كل عبارة عن autoimmune diseases + +291 +00:24:00,700 --> 00:24:04,040 +خلية مهمة جدا زي ما انتوا شايفين ان كي تي سيل + +292 +00:24:04,040 --> 00:24:10,420 +عندها القدرة انها تفرز cytokine مختلفة فتفرز ال + +293 +00:24:10,420 --> 00:24:15,580 +cytokine اللي بتنشط ال T helper 2 pathway و اللي + +294 +00:24:15,580 --> 00:24:25,370 +بتنشط ال T helper 1 pathwayاللي بتنشط تسل و بيسل + +295 +00:24:25,370 --> 00:24:32,290 +تسل و بيسل تسل و بيسل تسل و بيسل تسل و بيسل تسل و + +296 +00:24:32,290 --> 00:24:38,910 +بيسل تسل و بيسل تسل و بيسل تسل و بيسل تسل و بيسل + +297 +00:24:38,910 --> 00:24:45,630 +تسل و بيسل تسل و بيسل تسل و بيسل تسل و بيسل تسل + +298 +00:24:45,630 --> 00:24:45,850 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +299 +00:24:45,850 --> 00:24:45,850 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +300 +00:24:45,850 --> 00:24:48,610 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تمن خلال + +301 +00:24:48,610 --> 00:24:55,930 +هذه الـ cytokine وبالتالي can induce أو preventory + +302 +00:24:55,930 --> 00:25:01,190 +the tumorigenesis أيه عندها antitumor، + +303 +00:25:01,190 --> 00:25:02,090 +antimicrobial + +304 +00:25:05,740 --> 00:25:09,940 +بتمنع الانكيوفاج و الانكيوفاج من خلال الانكيوفاج و + +305 +00:25:09,940 --> 00:25:10,080 +الانكيوفاج من خلال الانكيوفاج و الانكيوفاج من خلال + +306 +00:25:10,080 --> 00:25:10,300 +الانكيوفاج و الانكيوفاج من خلال الانكيوفاج و + +307 +00:25:10,300 --> 00:25:13,160 +الانكيوفاج من خلال الانكيوفاج من خلال الانكيوفاج + +308 +00:25:13,160 --> 00:25:14,400 +من خلال الانكيوفاج من خلال الانكيوفاج من خلال + +309 +00:25:14,400 --> 00:25:14,440 +الانكيوفاج من خلال الانكيوفاج من خلال الانكيوفاج + +310 +00:25:14,440 --> 00:25:15,440 +من خلال الانكيوفاج من خلال الانكيوفاج من خلال + +311 +00:25:15,440 --> 00:25:16,780 +الانكيوفاج من خلال الانكيوفاج من خلال الانكيوفاج + +312 +00:25:16,780 --> 00:25:17,740 +من خلال الانكيوفاج من خلال الانكيوف + +313 +00:25:26,060 --> 00:25:32,660 +localization of cell يعني تمحور الخلايا في أماكن + +314 +00:25:32,660 --> 00:25:37,500 +معينة أو انتقال الخلايا إلى مكان الinfection + +315 +00:25:37,500 --> 00:25:43,100 +localization كيف تتم طبعا كلنا بنعرف في ال + +316 +00:25:43,100 --> 00:25:46,560 +phagocytosis process ان الخلايا تنتقل من ال blood + +317 +00:25:46,560 --> 00:25:51,940 +vessels إلى مكان ال infection كيبت ان هذه العملية + +318 +00:25:51,940 --> 00:25:56,570 +في كيموتابتك factor بتفرزمن يقوم بتنشيطها؟ كانوا + +319 +00:25:56,570 --> 00:26:01,390 +الكيموكاين والكيموكاين طالعة من خلايا مختلفة it's + +320 +00:26:01,390 --> 00:26:05,990 +an important mechanism طيب، ماذا جعلتهم يعملوا هذه + +321 +00:26:05,990 --> 00:26:08,050 +العملية؟ جعلوا ال expression of different + +322 +00:26:08,050 --> 00:26:13,370 +chemokine رسيبتور على سطح الـT البروان والـT + +323 +00:26:13,370 --> 00:26:16,290 +البرتو وT البروان بيكون على سطح كيموكاية رسيبتور + +324 +00:26:16,290 --> 00:26:21,290 +تلاتة وخمسة بينما الـT البرتو بيكون موجود على سطح + +325 +00:26:22,130 --> 00:26:26,330 +كيموكايل ريسيبتور تلاتة واربعة و تمانية These + +326 +00:26:26,330 --> 00:26:34,580 +chemokiles can allow chemotactic signalتنقل من الـ + +327 +00:26:34,580 --> 00:26:44,540 +blood vessels + +328 +00:26:44,540 --> 00:26:48,320 +أو من أماكن مختلفة ممكن تكون في الـ secondary + +329 +00:26:48,320 --> 00:26:52,220 +lymphoid organs بتجري لغاية ما تصل ال site of + +330 +00:26:52,220 --> 00:26:56,560 +infection يبقى مهم جدا ال expression of chemokine + +331 +00:26:56,560 --> 00:27:04,710 +receptors ايضا production of MCP1أما IP-1 Alpha و + +332 +00:27:04,710 --> 00:27:10,750 +IP-10 و الـ Ranti سختناهم قبل هيك تستخدم لتركيز + +333 +00:27:10,750 --> 00:27:14,450 +الـ Mononuclear Phagocyte لمنطقة الهواء من + +334 +00:27:14,450 --> 00:27:20,630 +الانفلامشين.وجود Cytokine Transformed Growth + +335 +00:27:20,630 --> 00:27:26,010 +Factor Beta IL-12 و IL-4 اللي عندهم القدرة + +336 +00:27:26,010 --> 00:27:30,580 +تproduce كيموكاين أو كيموكاين رسبتورprovide + +337 +00:27:30,580 --> 00:27:35,840 +further level of control يعني هذه الـ cytokine + +338 +00:27:35,840 --> 00:27:40,940 +أيضًا عندها القدرة إنها أيضًا to express كيموكاين + +339 +00:27:40,940 --> 00:27:44,020 +and كيموكاين Receptors وبالتالي هو عبارة عن + +340 +00:27:44,020 --> 00:27:48,160 +further level of control mechanism for cell + +341 +00:27:48,160 --> 00:27:52,660 +migration and recruitment كثير من الفيروسوز can + +342 +00:27:52,660 --> 00:27:57,230 +evade هذه للأسف الشديد هي host immune responseماذا + +343 +00:27:57,230 --> 00:28:01,950 +يفعلون؟ قالوا بيعملوا Antagonist للـChemokine + +344 +00:28:01,950 --> 00:28:06,870 +Receptor فبيعملوا Blocking وقتالي بيمنعوا + +345 +00:28:06,870 --> 00:28:12,470 +Localization of Cell إيديو Type Modulation + +346 +00:28:12,470 --> 00:28:18,430 +Response الإيديو Type هو + +347 +00:28:18,430 --> 00:28:23,790 +عبارة عن الـFAB Region واحنا بنعرف كل Antibody له + +348 +00:28:23,790 --> 00:28:29,680 +FAB وله FC Regionهل الفاب مختلفة between different + +349 +00:28:29,680 --> 00:28:32,300 +antibodies عشان هيك في حاجة بيسموها Idiotypic + +350 +00:28:32,300 --> 00:28:36,160 +Variation between antibody usually ال tolerance + +351 +00:28:36,160 --> 00:28:42,040 +for self-antigen بيصير during ontogeny يعني خلال + +352 +00:28:42,040 --> 00:28:47,340 +رحلة إيهاش تكوين هذه الخلائق لكن ال tolerance + +353 +00:28:47,340 --> 00:28:55,060 +بيصير لل Fc portion مش لل فاب portionالـ Antibody + +354 +00:28:55,060 --> 00:29:00,700 +اللى بتتكون ضد الفاب بيسموها Antidiotypic Antibody + +355 +00:29:00,700 --> 00:29:07,520 +احنا اتفقنا على ان الفاب هي اللى بيكون مختلفة + +356 +00:29:07,520 --> 00:29:09,660 +between different antibodies عشان هي بيسموها + +357 +00:29:09,660 --> 00:29:14,820 +اديوتاري وال Antibody اللى بتعملها blocking هم + +358 +00:29:14,820 --> 00:29:20,640 +عبارة عن Antidiotypic Antibodyودول عندهم القدرة to + +359 +00:29:20,640 --> 00:29:24,960 +influence the outcome of immune response طبعا إذا + +360 +00:29:24,960 --> 00:29:28,940 +صار في blocking لل antibody كيف بيشتغل وبالتالي في + +361 +00:29:28,940 --> 00:29:34,900 +تحديد لمسار ال immune response ال Epigenetic + +362 +00:29:34,900 --> 00:29:41,480 +Epitopes اللي موجودة in or around the binding + +363 +00:29:41,480 --> 00:29:49,080 +sites بيسموها Ediotopes Epitopes وEdiotopesماشي + +364 +00:29:49,080 --> 00:29:52,860 +تنسوش هذه المصطلحات Epitopes على الـ Antigen والـ + +365 +00:29:52,860 --> 00:30:00,100 +Idiotopes على الـ Antibody العالم + +366 +00:30:00,100 --> 00:30:05,060 +الجن طرح إن ال Immune Network can be existent وقت + +367 +00:30:05,060 --> 00:30:12,530 +إيش ماشي في داخل جسم الإنسان طبعاأو NV2 التي + +368 +00:30:12,530 --> 00:30:16,430 +تتعامل بمعينة إيديو تايب ريكنيشن يعني يوم يكون فيه + +369 +00:30:16,430 --> 00:30:20,230 +Antigen Antibody reaction بيصير فيه نتوارد نتوارد + +370 +00:30:20,230 --> 00:30:29,350 +ماشي ما بين ال Antibody وما بين ال Fab او ال إيديو + +371 +00:30:29,350 --> 00:30:34,650 +تايب اللي موجودة وعندما يتم إدخال ردودة Antibody + +372 +00:30:34,650 --> 00:30:35,290 +ردودة + +373 +00:30:39,370 --> 00:30:45,790 +هيعمل Anti-Idiotypic Response لمين؟ لنفسه وبالتالي + +374 +00:30:45,790 --> 00:30:51,290 +بيتكون Anti-Idiotypic Network وبيعمل + +375 +00:30:51,290 --> 00:30:57,090 +Neutralization لـ Antibody Neuroendocrine + +376 +00:30:57,090 --> 00:31:00,630 +modulation by immune response قالوا انه في + +377 +00:31:00,630 --> 00:31:03,690 +evidence ان ال nervous system و ال endocrine + +378 +00:31:03,690 --> 00:31:06,810 +system و ال immune system are interconnected + +379 +00:31:08,180 --> 00:31:11,260 +والدليل على هذا انه مسلم فويتش و received direct + +380 +00:31:11,260 --> 00:31:15,740 +sympathetic innervation وان ال nervous system can + +381 +00:31:15,740 --> 00:31:19,880 +be controlled او هو نفسه can control the outcome + +382 +00:31:19,880 --> 00:31:25,080 +او output of various hormones فعلى سبيل المثال + +383 +00:31:25,080 --> 00:31:29,040 +كورتيكوستيرويد هرموه غروسهرموه بولاكتين ثيروكسين + +384 +00:31:29,040 --> 00:31:33,160 +and ابريفلين can be controlled by their nervous + +385 +00:31:33,160 --> 00:31:38,050 +systemالـ Lymphocyte express receptor for many + +386 +00:31:38,050 --> 00:31:41,950 +hormones وبالتالي الكورتيكوستيرويدs act as a major + +387 +00:31:41,950 --> 00:31:45,950 +feedback control on immune response، إيش بيعمل؟ + +388 +00:31:45,950 --> 00:31:49,110 +وقالوا بيعمل inhibition ل تي البروين cytokine + +389 +00:31:49,110 --> 00:31:54,710 +production اللي بيأدى إلى إنتاج transform growth + +390 +00:31:54,710 --> 00:31:57,750 +factor beta وبالتالي بيصير فيه inhibition لل + +391 +00:31:57,750 --> 00:32:04,620 +immune response عشان هيك الكورتيكوستيرويدهورمون هو + +392 +00:32:04,620 --> 00:32:11,280 +عبارة عن immune suppressant بيجي + +393 +00:32:11,280 --> 00:32:16,300 +من ال genetic control of the immune response هل في + +394 +00:32:16,300 --> 00:32:21,120 +جينات تتحكم بال immune response ولا لأ طبعا لأنه + +395 +00:32:21,120 --> 00:32:25,520 +في اكتر من جين اللي هدور كبير في ال immune + +396 +00:32:25,520 --> 00:32:30,740 +response وكنا بنعرف انه ال MHC haplotype هو ال + +397 +00:32:30,740 --> 00:32:38,690 +majorInfluencing factor هو اللي بيحدد الability to + +398 +00:32:38,690 --> 00:32:44,250 +respond to an antigen وبالتجربة + +399 +00:32:44,250 --> 00:32:47,230 +وجدوا انه في stream of mice with different MHC + +400 +00:32:47,230 --> 00:32:52,370 +haplotype بتختلف في ردود فعلها المناعية في إنتاج + +401 +00:32:52,370 --> 00:32:57,190 +antibody response to specific antigen ومن يحدد ذلك + +402 +00:32:57,190 --> 00:33:01,590 +هو ال expression of MHC class II moleculeوهي محددة + +403 +00:33:01,590 --> 00:33:06,970 +لكل انتجين وإن الجينات الموجودة داخل الموليكول MSC + +404 +00:33:06,970 --> 00:33:15,150 +تلقى رولية أساسية ضد مستخدمين مفاجئين وهذا طبيعي + +405 +00:33:15,150 --> 00:33:20,730 +جدا كنا بنعرف إنه حتى إن الانسان رد قدود فعل الجسم + +406 +00:33:20,730 --> 00:33:25,510 +المنعية بتختلف من واحد شخص لآخر باختلاف الجينات أو + +407 +00:33:25,510 --> 00:33:31,740 +ال expression of MSC موليكولالـ Extensive Sequence + +408 +00:33:31,740 --> 00:33:37,920 +of Polymorphism للـ MSC Molecule له دور كبير على + +409 +00:33:37,920 --> 00:33:41,420 +الـ Peptide Binding وبالتالي على الـ T Cell + +410 +00:33:41,420 --> 00:33:48,300 +Activation نعرف كلنا الـ MSC Gene are Polymorphic + +411 +00:33:48,300 --> 00:33:56,320 +Genes MSC Gen أيضاً يميز على الانتقال للعنوان + +412 +00:33:56,320 --> 00:33:57,240 +الانتقال الانتقال الانتقال الانتقال الانتقال + +413 +00:33:57,240 --> 00:33:59,450 +الانتقال الانتقال الانتقال الانتقالوفي أمثلة كثيرة + +414 +00:33:59,450 --> 00:34:03,630 +على ذلك فعلى سبيل المثال الانسولين depending on + +415 +00:34:03,630 --> 00:34:08,070 +diabetes mellitus وهذا عبارة عن autoimmune disease + +416 +00:34:08,070 --> 00:34:13,010 +اللي بيصير فيه ان ال beta cell تبعت البنكريا are + +417 +00:34:13,010 --> 00:34:22,210 +destroyed بواسطة خلايا مناعية هذا المرضهو مرتبط + +418 +00:34:22,210 --> 00:34:29,130 +بـHLA-DR3 وHLA-DR4 وبالتالي يوم نفحص ونلاقي فيه + +419 +00:34:29,130 --> 00:34:34,930 +زيادة في DR3 وDR4 اي تيروزايكس بنلاقي high risk of + +420 +00:34:34,930 --> 00:34:41,390 +diabetes mellitus عند المرضى ادول اخرى MC Linked + +421 +00:34:41,390 --> 00:34:46,970 +وجدوهامتعلقة بالـ Proteolysis وTransport of + +422 +00:34:46,970 --> 00:34:53,250 +Antigen Peptide To MHC Molecule For Representation + +423 +00:34:53,250 --> 00:34:59,750 +To Cell Of The Immune System طيب هذا بالنسبالي للـ + +424 +00:34:59,750 --> 00:35:05,670 +MHC جين طب فيه Non MHC جين قالوا فيه Non MHC جين + +425 +00:35:05,670 --> 00:35:09,130 +أيضا تلعب دور كبير في Modulation Of Immune + +426 +00:35:09,130 --> 00:35:14,150 +Responseهؤلاء الجنسين ليسوا بوليمورفيك أقل من الـ + +427 +00:35:14,150 --> 00:35:19,130 +MHC جين وبالتالي فإن أفكتهم مظهر بشكل واضح في + +428 +00:35:19,130 --> 00:35:20,410 +اتصال اتصال اتصال اتصال بشكل اتصال بشكل اتصال بشكل + +429 +00:35:20,410 --> 00:35:21,330 +اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال + +430 +00:35:21,330 --> 00:35:25,870 +بشكل اتصال + +431 +00:35:25,870 --> 00:35:25,990 +بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل + +432 +00:35:25,990 --> 00:35:26,470 +اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال + +433 +00:35:26,470 --> 00:35:33,070 +بشكل اتصال بشكل اتصال بشكل اتصال بشكل اتصال بشكل + +434 +00:35:33,070 --> 00:35:37,230 +اتصال + +435 +00:35:37,230 --> 00:35:42,410 +بشهي موجودة في الـ SLE ناس اللي عندهم مخاطر في + +436 +00:35:42,410 --> 00:35:47,010 +كومبلمنت ثلاثة لديها اكتشاف اكتشاف بكتيريال + +437 +00:35:47,010 --> 00:35:53,870 +الانفكاش وموجودة في اميون كومبليكس ناس اللي عندهم + +438 +00:35:53,870 --> 00:36:03,260 +high IgEالتصميم اللي هم ملاقة بالـ + +439 +00:36:03,260 --> 00:36:12,620 +Atopy gene or human chromosome 11 EQ ايضا + +440 +00:36:12,620 --> 00:36:18,180 +انا امسي لك جين Linked gene affects susceptibility + +441 +00:36:18,180 --> 00:36:21,660 +to infection فال macro phage activity are + +442 +00:36:21,660 --> 00:36:30,890 +regulated by specific geneأيضًا الـ LSH-ITY-BIG + +443 +00:36:30,890 --> 00:36:34,850 +جين تتحكم + +444 +00:36:34,850 --> 00:36:38,190 +في الـ Early Response to Infection with + +445 +00:36:38,190 --> 00:36:42,890 +Mycobacterium and Salmonella يعني لو الـ Response + +446 +00:36:42,890 --> 00:36:48,290 +بيكون على شكل Upregulation of Oxidative Burst على + +447 +00:36:48,290 --> 00:36:52,910 +شكل Enhanced Tumor Cedule Activityإنها Anti + +448 +00:36:52,910 --> 00:36:57,650 +-Microbial Activity Upregulation of Expression للـ + +449 +00:36:57,650 --> 00:37:03,410 +MSC Class II موليكيول. Polymorphism أيضًا في الجين + +450 +00:37:03,410 --> 00:37:08,390 +يحتوي على سايتوكرالريسيبتر اللي هي دور كبير اللي + +451 +00:37:08,390 --> 00:37:12,380 +هي علاقة كبيرةwith increased susceptibility to + +452 +00:37:12,380 --> 00:37:17,300 +SCID اللي هو severe compound immunodeficiency or + +453 +00:37:17,300 --> 00:37:24,020 +inflammatory condition ال outcome of mutation is + +454 +00:37:24,020 --> 00:37:32,540 +dependent على ال cytokine gene فعلى سبيل المثال + +455 +00:37:32,540 --> 00:37:37,700 +human mutation IL-7R التسيبتور يعني بت + +456 +00:37:43,300 --> 00:37:47,520 +والناس اللي عندهم أيضًا common cytokine receptor + +457 +00:37:47,520 --> 00:37:52,520 +Gamma deficiency أيضًا which is a component of + +458 +00:37:52,520 --> 00:37:57,520 +functional receptor للـ IL-2، IL-4، IL-7، IL-9، IL + +459 +00:37:57,520 --> 00:38:03,520 +-15 عندهم reduced number لـ T cell و لـ NK cell و + +460 +00:38:03,520 --> 00:38:08,970 +عندهم impairment لـ B cell functionوبعد مرات في تي + +461 +00:38:08,970 --> 00:38:14,670 +سيل نقص + +462 +00:38:14,670 --> 00:38:23,450 +جزء في تي سيل help فده هي الصورة زي ما انتوا + +463 +00:38:23,450 --> 00:38:31,930 +شايفين انا داينا عندنا IL-2 receptor IL-7 + +464 +00:38:31,930 --> 00:38:32,570 +receptor + +465 +00:38:36,010 --> 00:38:43,290 +كما تشاهدون رسبتور هى عبارة عن ثلاثة بوريب بتاعة + +466 +00:38:43,290 --> 00:38:50,910 +الـ Chain وهى فيها Common Gamma Chain موجودة + +467 +00:38:50,910 --> 00:38:54,950 +موجودة + +468 +00:38:54,950 --> 00:38:59,990 +موجودة موجودة موجودة موجودة موجودة موجودة موجودة + +469 +00:38:59,990 --> 00:39:09,240 +موجودة موجودة موجودةبصير فيه اللي هو T cell ناشي + +470 +00:39:09,240 --> 00:39:17,100 +فيه loss لل T cell فيه loss لل NK cellو بينما ال + +471 +00:39:17,100 --> 00:39:22,720 +بي لينفوسايت بقى موجودة بينما هنا برضه ال IAL7 + +472 +00:39:22,720 --> 00:39:29,520 +ريسبتور يوم ما يكون فيه هذا هي defect in IAL7 + +473 +00:39:29,520 --> 00:39:34,680 +ريسبتور مش موجودة هذا هو بيصير فيه الاصلة T cell + +474 +00:39:34,680 --> 00:39:38,260 +بينما ال B cell و ال NK cell still there + +475 +00:39:40,910 --> 00:39:47,330 +هذا هو role of mutation in cytokine receptor gene + +476 +00:39:47,330 --> 00:39:51,550 +in severe combined immunodeficiency طبعا غيب T + +477 +00:39:51,550 --> 00:39:56,250 +cell و K cell يعني فيه infectious states + +478 +00:39:57,930 --> 00:40:04,470 +ماشي و أيها نفس الحكاية telephosites غيابة بيعمل + +479 +00:40:04,470 --> 00:40:08,590 +severe compound لإن هي اللي بتوزع الأدوار و هي + +480 +00:40:08,590 --> 00:40:13,550 +المهمة جدا في ال immune response بعد ان نكون خلصنا + +481 +00:40:13,550 --> 00:40:17,450 +المحاضرة نتمنى ان تكون غطينا اللي هو ال immune + +482 +00:40:17,450 --> 00:40:21,090 +response regulatory factors + +483 +00:40:26,320 --> 00:40:29,380 +شكرين حسن الاستماع + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA.srt new file mode 100644 index 0000000000000000000000000000000000000000..5c5f268bf9d4b14d46d34ef63b09e2c010f6a945 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA.srt @@ -0,0 +1,4375 @@ +1 +00:00:02,630 --> 00:00:08,970 +بسم الله الرحمن الرحيم اليوم + +2 +00:00:08,970 --> 00:00:12,030 +حضرتنا على elements of innate and acquired + +3 +00:00:12,030 --> 00:00:19,990 +immunity هنتكلم + +4 +00:00:19,990 --> 00:00:26,930 +إن شاء الله على الأدوات المناعية لل innate و ال + +5 +00:00:26,930 --> 00:00:31,230 +acquired immunity طبعا ال innate immunity + +6 +00:00:33,770 --> 00:00:38,410 +بتمثل الـ first line defense mechanism against + +7 +00:00:38,410 --> 00:00:42,910 +pathogen وفي منها cellular part وفي منها physical + +8 +00:00:42,910 --> 00:00:49,030 +part وفي منها soluble secretion part طبعا هدولة + +9 +00:00:49,030 --> 00:00:54,570 +موجودين since birth وغالبا بكونوا اما موجودين in + +10 +00:00:54,570 --> 00:00:58,150 +their fully functional states or they are rapidly + +11 +00:00:58,150 --> 00:01:03,580 +activated once antigen is entered الـ figure اللي + +12 +00:01:03,580 --> 00:01:08,520 +قدامنا بيبين لنا الخلايا اللي بتدخل في ال innate + +13 +00:01:08,520 --> 00:01:12,820 +immunity و ال adaptive immunity و طبعا نظرة سريعة + +14 +00:01:12,820 --> 00:01:20,760 +تبين لنا أنه كل ال myeloid series or cells are + +15 +00:01:20,760 --> 00:01:26,660 +involved in innate immunity بينما ال lymphoid اللي + +16 +00:01:26,660 --> 00:01:31,560 +هي متمثلة بالـ B و الـ D lymphocytes هي عبارة عن + +17 +00:01:31,560 --> 00:01:37,960 +خلايا involved in adaptive immunity و بدناش ننسى + +18 +00:01:37,960 --> 00:01:42,320 +أن الـ two circles are overlapped بمعنى انه في + +19 +00:01:42,320 --> 00:01:46,760 +collaboration between innate and adaptive immunity + +20 +00:01:46,760 --> 00:01:53,270 +في بعض الخلايا بتشتغل هان و بتشتغل هان الفجر التاني + +21 +00:01:53,270 --> 00:01:58,390 +هذا بيبين أن الـ kinetics of both innate and + +22 +00:01:58,390 --> 00:02:02,810 +adaptive immunity واضح جدا أن ال innate immunity + +23 +00:02:02,810 --> 00:02:06,270 +is faster than the adaptive immunity + +24 +00:02:09,360 --> 00:02:14,380 +can be activated بينما ال adaptive immunity takes days + +25 +00:02:14,380 --> 00:02:20,500 +وصل ل seven days as incubation period لغاية ما ال + +26 +00:02:20,500 --> 00:02:23,660 +B lymphocyte و الـ T lymphocyte تتنشط و تدينا + +27 +00:02:23,660 --> 00:02:29,740 +either antibody or effector cell نبدأ بال innate + +28 +00:02:29,740 --> 00:02:34,360 +immunity و نشوف ايش اللي + +29 +00:02:41,030 --> 00:02:45,070 +الأدواتها طبعا some component of mammalian innate + +30 +00:02:45,070 --> 00:02:49,730 +immune system are remarkably similar to component + +31 +00:02:49,730 --> 00:02:52,470 +in the plant ده بيقدمها سريع بيقول أن innate + +32 +00:02:52,470 --> 00:02:55,230 +immunity اللي موجودة في الإنسان هي نفسها اللي + +33 +00:02:55,230 --> 00:02:59,010 +موجودة في الاش في ال plant و ال animal وجدوها بهذا + +34 +00:02:59,010 --> 00:03:02,650 +الموضوع و هذا دليل على أن ال .. ال .. + +35 +00:03:07,590 --> 00:03:14,930 +يعني منذ القدم موجودة في كل الكائنات الحالية for + +36 +00:03:14,930 --> 00:03:17,650 +example peptides that are toxic to bacteria and + +37 +00:03:17,650 --> 00:03:25,130 +fungi بيسموها defensin they are found as them they + +38 +00:03:25,130 --> 00:03:30,010 +are found in plants and mammals ولهم نفس ال + +39 +00:03:30,010 --> 00:03:33,450 +structure terrestrial structure in both life forms + +40 +00:03:33,450 --> 00:03:40,590 +يعني سواء كانت في ال plant ولا كانت في المملس ال + +41 +00:03:40,590 --> 00:03:43,550 +innate immunity جاله بتلعب دور كبير في تلات مواقع + +42 +00:03:43,550 --> 00:03:51,510 +أساسية it's initial initially respond to my group + +43 +00:03:54,760 --> 00:04:02,280 +or even eliminate infection of the body وده متمثل + +44 +00:04:02,280 --> 00:04:07,120 +بالغالب بال physical لكن in infection لأن الـ + +45 +00:04:07,120 --> 00:04:10,760 +Immunity Devices يبقى تحت المراقبة تحت المراقبة + +46 +00:04:10,760 --> 00:04:13,540 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +47 +00:04:13,540 --> 00:04:16,380 +المراقبة تحت المراقبة تحت المراقبة تحت المراقبة + +48 +00:04:16,380 --> 00:04:20,040 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +49 +00:04:20,040 --> 00:04:21,400 +المراقبة تحت المراقبة تحت المراقبة تحت المراقبة + +50 +00:04:21,400 --> 00:04:30,520 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +51 +00:04:30,520 --> 00:04:31,580 +المراقبة + +52 +00:04:39,420 --> 00:04:46,860 +الحالة التانية أن الانيت اميون ميكانزم غالبا ايضا + +53 +00:04:46,860 --> 00:04:49,360 +recognize damaged and dead cell + +54 +00:04:56,040 --> 00:05:02,620 +Tissue Repair System بوقع التالت اللي بتشتغل فيه + +55 +00:05:02,620 --> 00:05:06,020 +ال innate immunity انه it can stimulate adaptive + +56 +00:05:06,020 --> 00:05:09,300 +immunity and influence the nature of adaptive + +57 +00:05:09,300 --> 00:05:15,340 +immune response كمان بتحدد اللي هو ال response تبع + +58 +00:05:15,340 --> 00:05:19,820 +ال adaptive immune system اللي موجود + +59 +00:05:29,590 --> 00:05:33,410 +الـ innate immunity two major types of innate + +60 +00:05:33,410 --> 00:05:38,570 +immunity are presence المحصلة إما inflammation + +61 +00:05:38,570 --> 00:05:44,530 +يعني it can cause inflammatory reaction or the + +62 +00:05:44,530 --> 00:05:48,350 +final effect هو antiviral + +63 +00:05:50,690 --> 00:05:56,530 +محصلتها انفلاميشن يا اما محصلتها كانتفيرال في + +64 +00:05:56,530 --> 00:06:01,090 +الانفلاميشن + +65 +00:06:01,090 --> 00:06:06,390 +الانفلاميشن is a complex process غالبا initiated + +66 +00:06:06,390 --> 00:06:11,590 +by damaged tissue سببه endogenous factors على سبيل + +67 +00:06:11,590 --> 00:06:17,840 +المثال tissue necrosis or bone fracture الصينة + +68 +00:06:17,840 --> 00:06:21,740 +تحتوي على اتصال اتصال اتصال اتصال اتصال اتصال + +69 +00:06:21,740 --> 00:06:34,420 +اتصال اتصال اتصال اتصال اتصال اتصال + +70 +00:06:34,420 --> 00:06:42,460 +اتصال اتصال + +71 +00:06:46,130 --> 00:06:50,550 +الـ kynin effect و الآن هنتطرخ للـ kynin effect بس + +72 +00:06:50,550 --> 00:06:55,350 +من مظاهره أن بيصير فيه increase لل vascular + +73 +00:06:55,350 --> 00:06:58,530 +permeability و هذا بيقدر ال swelling وبالتالي + +74 +00:06:58,530 --> 00:07:02,410 +بيصير في عندنا pain sign of inflammation pain + +75 +00:07:02,410 --> 00:07:09,740 +redness heat swallowing and في وظيفة خامسة ممكن + +76 +00:07:09,740 --> 00:07:14,600 +تتطرق لها هي loss of function بس مشروطة if persist + +77 +00:07:14,600 --> 00:07:18,720 +إذا استمرت ال infection بيصير في loss of function + +78 +00:07:18,720 --> 00:07:25,480 +الحاجة التانية أنه في acute phase protein ممكن + +79 +00:07:25,480 --> 00:07:31,860 +تنتج وينتج عنها activation of kinase or complement + +80 +00:07:31,860 --> 00:07:35,140 +system and a coagulation system + +81 +00:07:37,770 --> 00:07:44,590 +هذه صورة لإنفلاماتوري رياكشن ودور كل منها كما + +82 +00:07:44,590 --> 00:07:49,610 +تشاهدون هذه عبارة عن blood vessels lining with + +83 +00:07:49,610 --> 00:07:54,570 +endothelial cells اللي هي وظيفة مهمة جدا لـ + +84 +00:07:54,570 --> 00:07:57,070 +endothelial cell هي عبارة عن source of nitric acid + +85 +00:07:57,070 --> 00:08:02,590 +نيترك أكسيد و cytokine + +86 +00:08:04,410 --> 00:08:08,290 +وهي ال polymorphic nuclear cell اللي هتعمل + +87 +00:08:08,290 --> 00:08:13,270 +crowding في ال blood vessels وفي أيضا plasma + +88 +00:08:13,270 --> 00:08:18,110 +protein طبعا نيوتروفيل نعرف دورها ك phagocytic + +89 +00:08:18,110 --> 00:08:21,850 +cell بتعمل عملية phagocytosis ل micro or dead + +90 +00:08:21,850 --> 00:08:25,610 +tissue في plasma protein و ال plasma protein + +91 +00:08:25,610 --> 00:08:28,890 +نشهرها ال complement و ال coagulation factors طبعا + +92 +00:08:28,890 --> 00:08:33,040 +ال complement وظيفتها to eliminate the antigen و ال + +93 +00:08:33,040 --> 00:08:39,860 +coagulation factor بيعمل اللي هو أيضا + +94 +00:08:39,860 --> 00:08:45,560 +sealing وبالتالي ممنع دخول ال antigen lymphocytes + +95 +00:08:45,560 --> 00:08:51,410 +اعرف أن ال lymphocytes بتعمل immune response و ال + +96 +00:08:51,410 --> 00:08:54,830 +monocytes أساسها ميكروفيج اللي ممكن يعمل + +97 +00:08:54,830 --> 00:08:58,430 +phagocytosis وفي نفس الوقت تشتغل في تقدم ال + +98 +00:08:58,430 --> 00:09:04,310 +antigen لل ash لل T lymphocyte طبعا ال muscle أيضا + +99 +00:09:04,310 --> 00:09:10,090 +تفرز inflammatory mediators فوق 24 different types + +100 +00:09:10,090 --> 00:09:15,740 +بأشارها ال histamine كل التقشعه دي اللي بتصير في ال + +101 +00:09:15,740 --> 00:09:19,400 +blood vessels due to inflammatory reaction ممكن + +102 +00:09:19,400 --> 00:09:22,960 +تنشط من خلال ال coagulation cascade ميكانزم ال + +103 +00:09:22,960 --> 00:09:26,500 +platelet ال .. ال .. ال coagulation cascade يعمل + +104 +00:09:26,500 --> 00:09:30,900 +clot formation ال complement activation يعمل + +105 +00:09:30,900 --> 00:09:35,180 +elimination لل .. لل antigen ال lymphocyte can be + +106 +00:09:35,180 --> 00:09:40,240 +activated و ممكن تعمل immune response يعني ممكن زي + +107 +00:09:40,240 --> 00:09:40,740 +ما قلنا + +108 +00:09:45,170 --> 00:09:47,830 +وقلنا الـ innate immunity can control the + +109 +00:09:47,830 --> 00:09:51,850 +adaptive immunity من خلال تنشيطها طبعا تنشيطها + +110 +00:09:51,850 --> 00:09:59,410 +بتتم من خلال إفراز certain cytotype كاينين + +111 +00:09:59,410 --> 00:10:02,650 +effect زي ما اتفقنا هو عبارة عن + +112 +00:10:14,740 --> 00:10:18,600 +في مجلود ايضا ال infection او ال inflammation في + +113 +00:10:18,600 --> 00:10:21,980 +حالة ال inflammation بيبدأ يتصنع ال body kinin و + +114 +00:10:21,980 --> 00:10:25,420 +ال body kinin هو عبارة عن ال structure can cause + +115 +00:10:25,420 --> 00:10:29,180 +muscle contraction and stimulate nerve causing + +116 +00:10:29,180 --> 00:10:33,960 +pain فبيصير في muscle contraction و بالتالي بيضغط + +117 +00:10:33,960 --> 00:10:37,790 +على ال nerve و بيعمل pain أد انكريز فاسكولار + +118 +00:10:37,790 --> 00:10:42,350 +permeability لأنه لما يحدث فيه عملية شد للخلايا + +119 +00:10:42,350 --> 00:10:46,010 +بتتبعد على الواعدة أو يحدث زيادة في ال + +120 +00:10:46,010 --> 00:10:50,990 +permeability فهذا بيؤدي إلى أيضا ال expression of + +121 +00:10:50,990 --> 00:10:55,130 +endothelial cell adhesion molecule الحاجة التانية + +122 +00:10:55,130 --> 00:10:58,950 +يقول إنها ال coagulation pathway formation of + +123 +00:10:58,950 --> 00:11:03,210 +physical barrier بتكون physical barrier تمنع ال + +124 +00:11:03,210 --> 00:11:07,910 +micro organism من دخوله إلى الدم and systemic + +125 +00:11:07,910 --> 00:11:14,470 +inflammatory response محصلة induction of fever في + +126 +00:11:14,470 --> 00:11:20,990 +اللوكوسيتوسيز لأنه يصير في استدعاء لكل white blood + +127 +00:11:20,990 --> 00:11:24,430 +cell في منطقة الحدث increase synthesis of + +128 +00:11:24,430 --> 00:11:29,630 +hydrocortisol and ACTH نتيجة نشاط بعض الخلايا + +129 +00:11:33,340 --> 00:11:36,980 +وزي ما قلنا في release of certain cytokine وطبعا + +130 +00:11:36,980 --> 00:11:40,640 +أشهر الـ cytokine آية الواحد و آية الستة تقول بإن + +131 +00:11:40,640 --> 00:11:44,900 +tumor necrosis factor Alpha كلهم بيطلعوا من ال + +132 +00:11:44,900 --> 00:11:51,160 +monocytes ومحصلة نشاطهم induction of adhesion, + +133 +00:11:51,860 --> 00:11:55,460 +coagulation and increased vascular permeability + +134 +00:11:56,510 --> 00:12:01,050 +يبدأ الـ IL-1 و IL-6 و tumor necrosis factor Alpha + +135 +00:12:01,050 --> 00:12:06,090 +كلهم يخرجون من الـ monocytes و محصلة وجودهم + +136 +00:12:06,090 --> 00:12:10,670 +induction of adhesion, coagulation and increased + +137 +00:12:10,670 --> 00:12:15,810 +vascular permeability بالنسبة للـ IL-8 are + +138 +00:12:15,810 --> 00:12:22,910 +cytokine and interferon Gamma و interferon بيزيد ال + +139 +00:12:22,910 --> 00:12:27,360 +chemotaxis and phagocytosis وهي collectively كلهم + +140 +00:12:27,360 --> 00:12:31,020 +مع بعض بيدوا إلى accumulation of fluid في منطقة + +141 +00:12:31,020 --> 00:12:38,060 +الحدث يعني بنجذب إدما و leukocytic cell in the + +142 +00:12:38,060 --> 00:12:43,620 +injured area مليانة بإيه؟ ال leukocytes تخيلوا طبعا + +143 +00:12:43,620 --> 00:12:46,760 +زي ما أنتم شايفين acute inflammation يكون في + +144 +00:12:46,760 --> 00:12:55,010 +aisle 6 و aisle 8 و الـ GCSR و once chronic inflammation + +145 +00:12:55,010 --> 00:12:58,950 +occurs تخيلوا الأعداد الرهيبة من الـ cytokine اللي + +146 +00:12:58,950 --> 00:13:02,910 +can be released ودي محصلتها تنشيط عدد كبير من + +147 +00:13:02,910 --> 00:13:06,490 +الخلايا وزي ما قلت لكم inflammation محصلته في + +148 +00:13:06,490 --> 00:13:09,370 +النهاية في الـ chronic inflammation بيصير في loss + +149 +00:13:09,370 --> 00:13:15,910 +of function للـ organ involved الـ cytokine اللي في + +150 +00:13:15,910 --> 00:13:18,350 +الـ innate immunity زي ما أنتم شايفينها دي قائمة + +151 +00:13:18,350 --> 00:13:22,380 +طويلة عريضة للـ cytokine which are released في الـ + +152 +00:13:22,380 --> 00:13:26,060 +innate immunity فهي tumor necrosis factor بيطلع من + +153 +00:13:26,060 --> 00:13:33,020 +الـ macrophage و الـ T cell و بيعمل activation للـ + +154 +00:13:33,020 --> 00:13:37,520 +endothelial cell and coagulation cascade mechanism + +155 +00:13:37,520 --> 00:13:42,420 +و طبعا بنشط الـ neutrophil و الـ hypothalamus بيطلعنا + +156 +00:13:42,420 --> 00:13:49,760 +فيبر و هكذا Interleukin 1 بيطلع من الـ macrophage + +157 +00:13:50,770 --> 00:13:56,690 +والـ endothelial cell يسمى Epithelial و أيضا + +158 +00:13:56,690 --> 00:14:01,530 +chemokines factor كيموكاينه بيطلع من الـ macro + +159 +00:14:01,530 --> 00:14:04,370 +phage و الـ endothelial cell بتيسل فيبرو بلاست + +160 +00:14:04,370 --> 00:14:13,110 +و platelet و هو طبعا بنشط الـ leukocytes و بالذات + +161 +00:14:13,110 --> 00:14:17,590 +الـ neutrophil مثلا chemotaxis مثلا activation مثلا + +162 +00:14:17,590 --> 00:14:22,690 +migration to the tissue Interleukin-12 بيطلع من + +163 +00:14:22,690 --> 00:14:25,370 +macrophage و dendritic cell ونفس الشيء دي اللي بقى one + +164 +00:14:25,370 --> 00:14:29,350 +type one interferon alpha و beta بيطلع من + +165 +00:14:29,350 --> 00:14:33,010 +macrophage و fibroblast و fibroblast non specific + +166 +00:14:33,010 --> 00:14:38,370 +فيروس تكسيل انما الـ macrophage طلع لها دور كبير ك + +167 +00:14:38,370 --> 00:14:43,730 +antiviral طلوكن عشرة homodiamer بيطلع من الـ macro + +168 +00:14:43,730 --> 00:14:48,290 +phage و الـ T cell انطلوكن ستان بيطلع من الـ macro + +169 +00:14:48,290 --> 00:14:50,950 +phage و الـ endothelial cell و بيعمل acute phase + +170 +00:14:50,950 --> 00:14:55,470 +protein انطلوكن خمستاشر macrophage and others و هي + +171 +00:14:55,470 --> 00:15:01,640 +من أشهر تلنا الـ NK cell انطلوكن 18 بطلع من الـ macro + +172 +00:15:01,640 --> 00:15:09,780 +phage و بنشط عن K cell و T cell 23 من macrophage + +173 +00:15:09,780 --> 00:15:15,010 +و dendritic cell T cellactivation بالذات IL-17 + +174 +00:15:15,010 --> 00:15:20,670 +producing T cell 27 طبعا بيطلع من macrophage + +175 +00:15:20,670 --> 00:15:24,830 +dendritic cell و بتتنشر T helper واحد بسلقه + +176 +00:15:24,830 --> 00:15:29,410 +differentiation و بيصير في inhibition لـ T helper + +177 +00:15:29,410 --> 00:15:37,510 +one و activation لـ T helper two و هكذا شو + +178 +00:15:37,510 --> 00:15:46,210 +اللي بيصير لما بيدخل ميكروب وماهي القالية للتخلص + +179 +00:15:46,210 --> 00:15:49,830 +منه؟ هو زي ما أنتم شايفين في عندنا خلايا منعية + +180 +00:15:49,830 --> 00:15:53,950 +داخلة في الـ innate immunity على سطح الـ receptor و + +181 +00:15:53,950 --> 00:15:56,890 +أشهر الـ receptor اللي موجودة زي الـ mannose like + +182 +00:15:56,890 --> 00:16:00,810 +receptor, scavenger receptor, antigen receptor + +183 +00:16:00,810 --> 00:16:03,190 +طبعا برتبته بالـ antigen + +184 +00:16:06,270 --> 00:16:13,350 +بيخلصونا منه طبعا عملية التخلص ببساطة بيصير فيه + +185 +00:16:13,350 --> 00:16:20,770 +invagination سواء كان by receptor mediated أو by + +186 +00:16:20,770 --> 00:16:26,950 +pseudobot وهي بيبدأ يتكون الـ phagosome تخش جوا الـ + +187 +00:16:26,950 --> 00:16:35,560 +microbes في داخل phagosome و هي الـ phagosome فيه + +188 +00:16:35,560 --> 00:16:41,300 +بيرتبط أو الـ phago + +189 +00:16:41,300 --> 00:16:51,040 +some بيرتطم بالـ lysosome و بيكونوا one phago + +190 +00:16:51,040 --> 00:16:58,120 +some بيسموه phagolysosome و طبعا هنا ببدأ اداش الـ + +191 +00:16:58,120 --> 00:17:03,400 +killing للميكروب من خلال اللي هو different + +192 +00:17:03,400 --> 00:17:10,460 +mechanism و بيصير في عمل طبعا من خلال different + +193 +00:17:10,460 --> 00:17:16,620 +mechanism اما by formation of reactive oxygen + +194 +00:17:16,620 --> 00:17:21,240 +species أو زي ما هو مكتوب هنا بين في الـ mechanism + +195 +00:17:21,240 --> 00:17:27,700 +أو by nitric oxide هي الجامعة الارجينين في وجود + +196 +00:17:27,700 --> 00:17:34,460 +nitric oxide synthetase بتدينها nitric oxide أو بالتالي + +197 +00:17:34,460 --> 00:17:42,380 +بيقتل الميكروب بهذا الميكانسم endocytosis endo + +198 +00:17:42,380 --> 00:17:48,420 +cytosis هي عملية ingestion of macromolecule موجود + +199 +00:17:48,420 --> 00:17:48,720 +برا + +200 +00:17:55,120 --> 00:17:58,580 +invagination مثلما قلنا سابقا فيه invagination أو + +201 +00:17:58,580 --> 00:18:03,640 +receptor mediated endocytosis لما يمسك الـ antigen + +202 +00:18:03,640 --> 00:18:08,240 +بالـ receptor على سطح الخلية و يبدأ تتكون endocytic + +203 +00:18:08,240 --> 00:18:15,480 +vesicle ثم endosome-lysosome وفي النهاية يتكسر + +204 +00:18:15,480 --> 00:18:21,460 +الميكروب phagocytosis + +205 +00:18:21,460 --> 00:18:26,800 +هي عبارة عن type of endocytosis وهي برضه بيصير فيه + +206 +00:18:26,800 --> 00:18:29,300 +ingestion of invading particles بكتيريا أو + +207 +00:18:29,300 --> 00:18:35,840 +phagocytic by phagocytic cell usually الـ + +208 +00:18:35,840 --> 00:18:42,680 +phagocytosis enhanced or is aided by opsonin غالبا + +209 +00:18:42,680 --> 00:18:45,880 +الـ opsonin يعني عبارة عن antibody or complement + +210 +00:18:45,880 --> 00:18:49,980 +component بيجي قاعد على سطح الـ antigen و بتتعرف + +211 +00:18:49,980 --> 00:18:52,340 +عليه الـ phagocytes الفجر + +212 +00:18:52,340 --> 00:19:07,280 +xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx + +213 +00:19:09,270 --> 00:19:13,970 +هذه كـ eating وهذه كـ drinking أو through receptor + +214 +00:19:13,970 --> 00:19:20,170 +mediated process إذا أنتم شايفين خطوات الـ + +215 +00:19:20,170 --> 00:19:23,490 +endocytosis + +216 +00:19:23,490 --> 00:19:27,990 +أما through receptor + +217 +00:19:32,930 --> 00:19:39,090 +ماشي من خلال الجهتين طبعا زي ما أنتم شايفين + +218 +00:19:39,090 --> 00:19:46,210 +بيتكون في الـ endocytosis early endosome ثم الـ late + +219 +00:19:46,210 --> 00:19:53,350 +endosome و طبعا through invagination أو pseudobond + +220 +00:19:53,350 --> 00:19:57,870 +بيتكون الـ phagosome سواء كان endosome ولا + +221 +00:19:57,870 --> 00:20:03,460 +phagosome بيرتطموا بالـ lysosome بتاعة الـ lysosome و + +222 +00:20:03,460 --> 00:20:11,360 +بيكونوا phagolysosome أو endolysosome + +223 +00:20:11,360 --> 00:20:15,100 +عشان أنهم يرتطموا بهم طبعا هذا الكلام في النهاية + +224 +00:20:15,100 --> 00:20:22,020 +بيؤدي لتكسير الغليل أيضا إذا كان في internal dead + +225 +00:20:22,020 --> 00:20:29,360 +body ماشي تتكرر الـ cell تعمل حاجة بيسموها autophagy + +226 +00:20:29,360 --> 00:20:33,520 +و بيكوّن autophagosome اللي برضه بتخش عليه الـ + +227 +00:20:33,520 --> 00:20:41,040 +lysosome و بتخلص ده منه أي + +228 +00:20:41,040 --> 00:20:44,780 +الـ phagosome fuses with lysosome forming + +229 +00:20:44,780 --> 00:20:48,320 +phagolysosome then digested of the particle + +230 +00:20:53,010 --> 00:20:58,850 +بتتم بطريقتين أساسيتين إما عن طريق الـ oxygen + +231 +00:20:58,850 --> 00:21:03,150 +dependent وفي oxygen independent في الـ oxygen + +232 +00:21:03,150 --> 00:21:06,610 +independent بيصير فيه respiratory burst و بيستهلك + +233 +00:21:06,610 --> 00:21:12,110 +الخلية كميات كبيرة من الـ oxygen و طبعا الـ oxygen + +234 +00:21:12,110 --> 00:21:17,510 +في هذه الحالة في وجود certain nicotinamide + +235 +00:21:21,920 --> 00:21:32,260 +adenine أو NADH و NADPH يتفاعل مع الأكسجين و + +236 +00:21:32,260 --> 00:21:35,860 +الهيدروجين و يتكوين الـ NAD أو الـ NADP مع + +237 +00:21:35,860 --> 00:21:39,080 +الهيدروجين بيروكسايد و الهيدروجين بيروكسايد نعرف + +238 +00:21:39,080 --> 00:21:42,220 +أن هو برعن reactive oxygen + +239 +00:21:56,800 --> 00:22:02,420 +myeloperoxidase طبعا هذا بيسموه oxygen dependent + +240 +00:22:02,420 --> 00:22:06,700 +myeloperoxidase dependent الـ process الـ hydrogen + +241 +00:22:06,700 --> 00:22:11,040 +peroxide في وجود الكلورايد و myeloperoxidase بتكون + +242 +00:22:15,850 --> 00:22:22,730 +ماشي عبارة عن toxic substance ثم الـ superoxide مع + +243 +00:22:22,730 --> 00:22:27,490 +الـ hydrogen في وجود super hexanoxide اسمه تيزي + +244 +00:22:27,490 --> 00:22:31,890 +بيدينا hydrogen peroxide و طبعا في ميكانزم تالت + +245 +00:22:31,890 --> 00:22:34,890 +اللي هو الـ arginine اللي بيدينا nitric oxide و الـ + +246 +00:22:34,890 --> 00:22:40,570 +nitric oxide بيقترط أداء تقتل برضه فظيعة من خلال + +247 +00:22:40,570 --> 00:22:43,830 +أو في وجود nitric oxide synthetase + +248 +00:22:48,260 --> 00:22:48,940 +طبعاً هذه .. + +249 +00:23:08,380 --> 00:23:12,400 +الخلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +250 +00:23:12,400 --> 00:23:12,580 +عبارة عن خلية عبارة عن خلية عبارة عن خلية عبارة عن + +251 +00:23:12,580 --> 00:23:15,260 +خلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +252 +00:23:15,260 --> 00:23:23,380 +عبارة عن خلية عبارة عن خلية عبارة عن خلية عبارة عن + +253 +00:23:23,380 --> 00:23:34,660 +عبارة عن خلية عبارة عن خلية عبارة عن خلية + +254 +00:23:34,660 --> 00:23:41,470 +هذا يؤدي إلى تنشيط Transcriptional Factors أن + +255 +00:23:41,470 --> 00:23:49,910 +أفكارها به وهو طبعاً هذا يحول البروتين IL-1 بيتا + +256 +00:23:49,910 --> 00:23:55,410 +gene transcription إلى الـ active gene ويبدأ يتنشط + +257 +00:23:55,410 --> 00:23:56,610 +بكونها في النهاية + +258 +00:24:04,650 --> 00:24:09,770 +ميكانيزم آخر من خلال هذا هو الـ Antigen دخل مباشرة + +259 +00:24:09,770 --> 00:24:14,590 +إلى داخل الخلية وهنا ممكن يكون فيه receptor + +260 +00:24:16,070 --> 00:24:19,570 +Intracellular وبالتالي زي الـ node-like receptor + +261 +00:24:19,570 --> 00:24:23,590 +ده هي مسكت بالـ antigen واتعرفت عليه مجرد + +262 +00:24:23,590 --> 00:24:29,170 +انطباعتها بينشط Caspase enzyme والـ Caspase + +263 +00:24:29,170 --> 00:24:33,950 +بتكون سلسلة من الـ Caspase في النهاية بتنشط الـ + +264 +00:24:33,950 --> 00:24:40,430 +Caspase number one اللي أيضاً بينشطنا أو بيكوننا + +265 +00:24:40,430 --> 00:24:45,580 +انطلاقا معاها الحاجات الثالثة وجود certain + +266 +00:24:45,580 --> 00:24:50,660 +endogenous crystals ممكن تنشط هذا الميكانيزم طبعاً + +267 +00:24:50,660 --> 00:24:54,140 +في وجود الكائن الـ potassium efflux وهذا الـ + +268 +00:24:54,140 --> 00:24:58,040 +potassium efflux أنه الـ potassium بطلع من جوا + +269 +00:24:58,040 --> 00:25:01,460 +الخلية لبرا الخلية وتبدأ هذه الميكانيزم تتكون + +270 +00:25:01,460 --> 00:25:05,560 +فاللي بيصير هذه المواد بتحفظ هذا الميكانيزم + +271 +00:25:05,560 --> 00:25:09,940 +Intracellular وفي النهاية بيتكون Inflammasome + +272 +00:25:12,930 --> 00:25:19,870 +انفلامازون انفلامازون هذا بيكون ناتج عن تنشيط الـ + +273 +00:25:19,870 --> 00:25:26,210 +node-like receptor protein ثلاثة وautomatically + +274 +00:25:26,210 --> 00:25:30,950 +طبعاً this will lead to produce IL-1 beta + +275 +00:25:35,840 --> 00:25:39,220 +المهم كلهم في النهاية بيصير فيه acute inflammatory + +276 +00:25:39,220 --> 00:25:43,280 +reaction ده once created بيصير فيه acute + +277 +00:25:43,280 --> 00:25:47,840 +inflammation ده عبارة عن ميكانيزم بيؤدي طبعاً by + +278 +00:25:47,840 --> 00:25:51,820 +different way اما by extracellular antigen أو + +279 +00:25:51,820 --> 00:25:57,100 +intracellular antigen دخل واتنشطت بعض العوامل + +280 +00:25:57,100 --> 00:26:02,300 +اللي في النهاية تتكون IL-1 + +281 +00:26:05,800 --> 00:26:10,520 +How innate immunity recognize microbe and damaged + +282 +00:26:10,520 --> 00:26:14,760 +cell طبعاً specificity of innate immunity + +283 +00:26:14,760 --> 00:26:21,420 +recognition have evolved to combat microbe and are + +284 +00:26:21,420 --> 00:26:24,000 +different from specificity of adaptive immune + +285 +00:26:24,000 --> 00:26:27,840 +system طبيعي جداً أن الـ specificity في specific + +286 +00:26:27,840 --> 00:26:31,580 +tool specific mode of action + +287 +00:26:34,580 --> 00:26:39,160 +الاختلاف كله عن specific mechanism اللي بتكون فيها + +288 +00:26:39,160 --> 00:26:42,120 +الـ adaptive immunity وخلينا نشوف الفرق بين + +289 +00:26:42,120 --> 00:26:45,940 +التانين فهي specificity وimmediate immunity ايه + +290 +00:26:45,940 --> 00:26:51,140 +هنا اللي في الـ immediate immunity صارت عملية التباط + +291 +00:26:51,140 --> 00:26:57,240 +بالـ microbe من خلال receptors موجودة على السطح + +292 +00:27:10,030 --> 00:27:21,610 +موضوع ثاني موضوع + +293 +00:27:21,610 --> 00:27:26,110 +ثاني بيكون فيه antibody specific for certain + +294 +00:27:26,110 --> 00:27:29,190 +antigen ويعني فإنها different antibody كل واحد + +295 +00:27:29,190 --> 00:27:34,030 +يبلغه مختلف بيرتبطه بـ different microbe حسب الـ + +296 +00:27:34,030 --> 00:27:37,250 +microbe لأن كل antibody is specific only for one + +297 +00:27:37,250 --> 00:27:41,090 +antigen فالـ specificity في الـ adaptive immunity + +298 +00:27:41,090 --> 00:27:46,970 +محددة بـ antibody بيرتبط بـ specific antigen فيعني + +299 +00:27:46,970 --> 00:27:50,990 +different type of antibody for different types of + +300 +00:27:50,990 --> 00:27:56,890 +antigen نما هان هو عبارة عنده هو Receptors ماشي + +301 +00:27:56,890 --> 00:28:01,330 +واحد وهو الـ mannose receptor موجود على خلايا + +302 +00:28:01,330 --> 00:28:05,570 +ارتبط في أكثر من micro يعني أكثر من بكتيريا لكن + +303 +00:28:05,570 --> 00:28:08,730 +بماذا يشترك وهدول البكتيريا أنه على سطح الـ man + +304 +00:28:08,730 --> 00:28:16,270 +nose binding لكتير ليش الثاني الـ receptor في + +305 +00:28:16,270 --> 00:28:19,570 +اختلاف في الـ receptor اه طبعاً في اختلاف ما بين الـ + +306 +00:28:19,570 --> 00:28:25,270 +innate وما بين الـ adaptive في الـ innate فيعني + +307 +00:28:25,270 --> 00:28:29,350 +limited type of receptor limited diversity of + +308 +00:28:29,350 --> 00:28:34,270 +receptor كلهم collectively are named by pattern + +309 +00:28:34,270 --> 00:28:37,390 +recognition receptor مش شو بيسموهم pattern + +310 +00:28:37,390 --> 00:28:41,370 +recognition receptor وطبعاً زي ما أنتم شايفين كل + +311 +00:28:41,370 --> 00:28:45,730 +واحد منهم بيرتبط بإنهم معين من ايش من الـ micro أو + +312 +00:28:45,730 --> 00:28:49,690 +كلهم ممكن يرتبطوا بنفس الـ micro وبالتالي الـ + +313 +00:28:49,690 --> 00:28:53,850 +specificity مش مش كتير موجودة هنا في Anatolite + +314 +00:28:53,850 --> 00:28:59,420 +receptor مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +315 +00:28:59,420 --> 00:29:00,080 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +316 +00:29:00,080 --> 00:29:05,560 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +317 +00:29:05,560 --> 00:29:06,600 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +318 +00:29:06,600 --> 00:29:07,060 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +319 +00:29:07,060 --> 00:29:08,720 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +320 +00:29:08,720 --> 00:29:11,360 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +321 +00:29:11,360 --> 00:29:16,440 +أهمية مثلًا مجموعات أقل أكل خلية على سطحها + +322 +00:29:16,440 --> 00:29:23,760 +specific receptor which is specific only + +323 +00:29:23,760 --> 00:29:24,700 +for one antigen + +324 +00:29:28,080 --> 00:29:34,180 +تصنيع لـ Receptor خاص بكل خلية على عدة كيف + +325 +00:29:34,180 --> 00:29:38,220 +اتكونوا قالوا by somatic recombination of gene + +326 +00:29:38,220 --> 00:29:43,220 +segments جينات ارتبطت مع بعضها وعملت ليه different + +327 +00:29:43,220 --> 00:29:48,500 +types of ايش of receptors على سطح الخلية لكلهم + +328 +00:29:48,500 --> 00:29:51,500 +واحد من السلطات عشان هيكوا بيكونوا greater + +329 +00:29:51,500 --> 00:29:55,700 +diversity distribution of receptor + +330 +00:30:00,290 --> 00:30:05,830 +يعني أن مجموعة من الخلايا ممكن + +331 +00:30:05,830 --> 00:30:11,870 +تشترك بـ one receptor identical receptor on all + +332 +00:30:11,870 --> 00:30:16,890 +cell of the same line طب في الـ adaptive قالوا لأ + +333 +00:30:16,890 --> 00:30:22,750 +it's a clone of الـ clone of lymphocytes with + +334 +00:30:22,750 --> 00:30:27,450 +distinct specifics يعني express different + +335 +00:30:27,450 --> 00:30:31,650 +receptors يعني one type of clone على سبيل المثال + +336 +00:30:31,650 --> 00:30:37,570 +الـ B lymphocyte كل خلية فيها يعني كل B lymphocyte + +337 +00:30:37,570 --> 00:30:42,360 +على سطح a receptor مختلف عن الـ receptor الثاني اللي + +338 +00:30:42,360 --> 00:30:46,840 +موجودة على خلية بي لينفوسايت ثانية إنما هناك معظم + +339 +00:30:46,840 --> 00:30:53,140 +الخلايا تشترك بـ الـ receptors اللي موجودة + +340 +00:30:56,970 --> 00:31:00,630 +Type discrimination of self and non-self التنتين + +341 +00:31:00,630 --> 00:31:05,190 +بيشتركوا بهذه الصفة المفروض في الـ innate yes + +342 +00:31:05,190 --> 00:31:09,830 +healthy host cells are not recognized or they may + +343 +00:31:09,830 --> 00:31:13,410 +express molecule بين أو ونفس الحكاية في الاش في + +344 +00:31:13,410 --> 00:31:16,950 +الـ adaptive based on elimination طبعاً بيصير عملية + +345 +00:31:16,950 --> 00:31:24,750 +تخلص من كل خلايا ناشطة self-reacted species في الـ + +346 +00:31:24,750 --> 00:31:28,930 +primary or in the orthopretium في الـ secondary + +347 +00:31:28,930 --> 00:31:34,910 +recognition of microbe and damaged cell by innate + +348 +00:31:34,910 --> 00:31:38,910 +immunity يعني + +349 +00:31:38,910 --> 00:31:45,550 +الـ innate immunity بتتعرف على + +350 +00:31:45,550 --> 00:31:53,510 +molecular structure موجودة على الـ microbes خاصة مش + +351 +00:31:53,510 --> 00:31:58,470 +موجودة على الـ mammalian cell فيه موليكيوز + +352 +00:31:58,470 --> 00:32:06,330 +موليكيولار موجودين على سطح الـ foreign body مش + +353 +00:32:06,330 --> 00:32:11,250 +موجودين في داخل الـ mammalian cell وبالتالي تتعرف + +354 +00:32:11,250 --> 00:32:15,430 +عليهم الـ innate بشكل أهم these microbial + +355 +00:32:15,430 --> 00:32:20,030 +substance بي stimulate the innate immunity بيسموها + +356 +00:32:20,030 --> 00:32:24,330 +الـ PAMS PAMS هي اختصار pathogen associated + +357 +00:32:24,330 --> 00:32:25,470 +molecular pattern + +358 +00:32:28,220 --> 00:32:33,200 +وهناك ميكروفات مختلفة مثل الفيروس والبكتيريا + +359 +00:32:33,200 --> 00:32:39,680 +والفنجايل وهي تظهر بطاريات مختلفة وهذه + +360 +00:32:39,680 --> 00:32:44,040 +البطاريات مختلفة + +361 +00:32:44,040 --> 00:32:49,880 +في أسلوبها فممكن يكون double-stranded RNA مثل ما + +362 +00:32:49,880 --> 00:32:56,220 +موجود في الـ replicating viruses أو الـ CBG دي أن + +363 +00:32:56,220 --> 00:33:03,930 +إيه زي ما هو موجود في البكتيريا or certain proteins + +364 +00:33:03,930 --> 00:33:09,370 +موجودة على certain microbe زي الـ M + +365 +00:33:09,370 --> 00:33:14,890 +-formylmethionine and this is a typical bacterial + +366 +00:33:14,890 --> 00:33:19,870 +protein and this complex lipid and carbohydrate + +367 +00:33:19,870 --> 00:33:27,120 +that are synthesized by bacteria زي الـ ليبو + +368 +00:33:27,120 --> 00:33:32,620 +تيكويك أسد المنوذ ريش أوليبو ساكرايتز كلها عبارة + +369 +00:33:32,620 --> 00:33:36,920 +عن ايه؟ أيضاً + +370 +00:33:36,920 --> 00:33:43,180 +الـ innate immune system أيضاً recognize microbial + +371 +00:33:43,180 --> 00:33:47,340 +product مش فقط microbial structure that are often + +372 +00:33:47,340 --> 00:33:51,140 +essential for survival of the microbe مهم جداً + +373 +00:33:51,140 --> 00:33:58,440 +وجودها for survival of the وهذه المولكولة + +374 +00:33:58,440 --> 00:34:08,060 +الاندوجينية إما تتم إصلاحها أو إطلاقها من جسد ميت + +375 +00:34:08,060 --> 00:34:08,780 +مصاب + +376 +00:34:16,080 --> 00:34:21,880 +Immunity تتعرف على الـ PAMs اللي هي Pattern + +377 +00:34:21,880 --> 00:34:25,120 +Associated Molecular Pattern وهي عبارة عن + +378 +00:34:25,120 --> 00:34:29,700 +Molecular Structure على سطح الـ ميكروب وتتعرف + +379 +00:34:29,700 --> 00:34:33,640 +على الـ DAMs والـ DAMs هي عبارة عن Damage Associated + +380 +00:34:33,640 --> 00:34:41,140 +Molecular Pattern طالعة من إما الـ ميكروب أو جاية من + +381 +00:34:41,140 --> 00:34:46,930 +Dying Cells و these damage are a result of cell + +382 +00:34:46,930 --> 00:34:54,070 +damage caused by infection or caused + +383 +00:34:54,070 --> 00:34:58,890 +by myriad يعني أسباب كثيرة زي chemical, toxin, + +384 +00:34:59,150 --> 00:35:10,010 +birth, trauma or even decreased blood supply ال + +385 +00:35:10,010 --> 00:35:14,870 +damage بنشوفهاش جاية من في حالات الـ apoptosis لكن في + +386 +00:35:14,870 --> 00:35:19,170 +بعض المرات الـ healthy cell بتفرز الـ DAMs عشان تنشط + +387 +00:35:19,170 --> 00:35:30,330 +الـ immune response عشان تنشط الـ immune response ال + +388 +00:35:30,330 --> 00:35:36,770 +example of DAMs and PAMs كان الـ pathogen + +389 +00:35:36,770 --> 00:35:40,850 +associated molecular pattern PAMs أول فيها منها + +390 +00:35:40,850 --> 00:35:44,970 +nucleic acid في منها protein في منها cell wall + +391 +00:35:44,970 --> 00:35:48,130 +lipids في منها carbohydrate وزي ما أنتم شايفين + +392 +00:35:48,130 --> 00:35:53,670 +إما single strand RNA أو double strand RNA أو CBG + +393 +00:35:53,670 --> 00:35:58,270 +أي حالة nucleic acid اللي بنشوفها في الـ viruses و + +394 +00:35:58,270 --> 00:36:03,550 +بعض البكتيريا CBG لبروتينات مثل الـ flagellin و ال + +395 +00:36:03,550 --> 00:36:06,810 +flagellum نشوفهم في البكتيريا مثل الـ wall lipids + +396 +00:36:06,810 --> 00:36:10,550 +مثل lipopolysaccharide و lipoteichoic acid موجودة في + +397 +00:36:10,550 --> 00:36:14,570 +جرام نيجاتيف بكتيريا كربوهيديد مثل الـ mannose و + +398 +00:36:14,570 --> 00:36:14,950 +الـ mannose + +399 +00:36:22,320 --> 00:36:26,140 +الـ PAMs الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +400 +00:36:26,140 --> 00:36:27,000 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +401 +00:36:27,000 --> 00:36:29,100 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +402 +00:36:29,100 --> 00:36:29,120 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +403 +00:36:29,120 --> 00:36:29,140 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +404 +00:36:29,140 --> 00:36:29,980 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +405 +00:36:29,980 --> 00:36:30,220 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +406 +00:36:30,220 --> 00:36:32,400 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ + +407 +00:36:32,400 --> 00:36:36,100 +الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ الـ التشو + +408 +00:36:36,100 --> 00:36:36,500 +أو + +409 +00:36:56,200 --> 00:37:03,020 +One برضه عبارة عن بروتينات تطلع من الـ خلايا المقصرة + +410 +00:37:03,020 --> 00:37:06,780 +ال + +411 +00:37:06,780 --> 00:37:11,740 +innate immune system use several types of cellular + +412 +00:37:11,740 --> 00:37:18,500 +receptor موجودة على سطحها and soluble molecule in + +413 +00:37:18,500 --> 00:37:21,520 +the blood amicosa secretion to recognize PAMs and + +414 +00:37:21,520 --> 00:37:28,640 +DAMs هي أكثر من receptor بيتعرف على الـ PAMs و ال + +415 +00:37:28,640 --> 00:37:34,540 +DAMs الـ pattern recognition receptor they + +416 +00:37:34,540 --> 00:37:38,460 +are expressed on the plasma membrane or endosomal + +417 +00:37:38,460 --> 00:37:42,360 +membrane of various cell type and also on the + +418 +00:37:42,360 --> 00:37:45,760 +cytoplasm of these cells يعني موجودين على سطح + +419 +00:37:45,760 --> 00:37:52,040 +الخلية أو في الـ cytosol أو في الـ endosome يعني شيء + +420 +00:37:52,040 --> 00:37:57,220 +membrane هدول أنواع الـ pattern recognition + +421 +00:37:57,220 --> 00:38:00,920 +receptor and this various location of the receptor + +422 +00:38:00,920 --> 00:38:04,040 +ensure that the innate immune system can respond + +423 +00:38:04,040 --> 00:38:07,880 +to microbe وينما كان. So one can outside the cell + +424 +00:38:07,880 --> 00:38:11,650 +or within different cellular compartment. مازال في + +425 +00:38:11,650 --> 00:38:14,870 +عندنا receptor في الـ innate immunity بتتعرف على + +426 +00:38:14,870 --> 00:38:20,610 +الـ PAMs و الـ DAMs سواء كانت extra cellular يعني من + +427 +00:38:20,610 --> 00:38:25,010 +برا في receptor على سطح الخلية جوا داخل الـ antigen + +428 +00:38:25,010 --> 00:38:29,210 +جوا سواء كان في الـ cytosol أو في الـ endosome برضه + +429 +00:38:29,210 --> 00:38:36,950 +فيه receptor خاصة تتعرف على الـ microbe شوفوا أنواع + +430 +00:38:37,240 --> 00:38:40,660 +الـ Pattern Recognition Receptor يبقى الـ Pattern + +431 +00:38:40,660 --> 00:38:44,800 +Recognition Receptor تتعرف على الـ PAMs و الـ DAMs + +432 +00:38:44,800 --> 00:38:50,840 +بمواقع مختلفة شوفوا اللي هو الـ Cell Associated + +433 +00:38:50,840 --> 00:38:55,680 +Pattern Recognition Receptor زي الـ Toll-like + +434 +00:38:55,680 --> 00:38:58,360 +receptor و الـ Nod-like receptor و الـ Rig-like + +435 +00:38:58,360 --> 00:39:02,200 +receptor دي كلها عبارة عن إيش؟ عبارة عن receptor + +436 +00:39:02,620 --> 00:39:05,380 +شيء موجود على الـ cell membrane شيء موجود في ال + +437 +00:39:05,380 --> 00:39:11,420 +cytosol شيء موجود في الـ endosome وفي other + +438 +00:39:11,420 --> 00:39:16,480 +receptor زي الـ C-type lectin و الـ scavenger و الـ M + +439 +00:39:16,480 --> 00:39:20,720 +-formyl methionine-leucine phenotype receptor كلهم + +440 +00:39:20,720 --> 00:39:23,820 +دول عبارة عن receptor بتعرفوا على different + +441 +00:39:23,820 --> 00:39:24,420 +peptides + +442 +00:39:30,280 --> 00:39:36,820 +different molecule of the micro نوع + +443 +00:39:36,820 --> 00:39:40,520 +ثاني من الـ pattern recognition receptors في حاجة + +444 +00:39:40,520 --> 00:39:43,740 +بيسموها soluble part soluble recognition molecule + +445 +00:39:43,740 --> 00:39:47,540 +يبقى في الأول في حاجة اسمها pattern recognition + +446 +00:39:47,540 --> 00:39:52,950 +receptors ماشي النوع الأولاني بيحتوي على الـ Toll- + +447 +00:39:52,950 --> 00:39:55,590 +like و الـ Nod-like و الـ Rig-like و شوية + +448 +00:39:55,590 --> 00:40:03,430 +scavenger و الـ soluble فيه منه pentraxins و مثال + +449 +00:40:03,430 --> 00:40:06,490 +عليه الـ C-reactive protein موجود في البلازما + +450 +00:40:06,490 --> 00:40:07,330 +collectin + +451 +00:40:09,840 --> 00:40:16,580 +أيضا موجود في البلازما الـ alveoli و الـ ficolin + +452 +00:40:16,580 --> 00:40:20,360 +موجود في البلازما و كما تشاهدون هؤلاء يتعرفون في + +453 +00:40:20,360 --> 00:40:24,100 +الـ ريأكتف بروتين بيتعرف على microbial + +454 +00:40:24,100 --> 00:40:27,160 +phosphorealcholine + +455 +00:40:27,160 --> 00:40:31,640 +and phosphatidylethanolamine + +456 +00:40:31,640 --> 00:40:34,860 +موليكيول لـ PAMs + +457 +00:40:39,050 --> 00:40:42,610 +الـ Mannose binding lectin بتعرف على الـ Mannose + +458 +00:40:42,610 --> 00:40:48,770 +اللي موجودة على الـ microbe وهكذا complement طبعا و + +459 +00:40:48,770 --> 00:40:52,790 +الـ natural antibody أيضا من إيش من الـ pattern + +460 +00:40:52,790 --> 00:40:56,310 +recognition molecule و الـ complement موجودة في ال + +461 +00:40:56,310 --> 00:40:59,650 +plasma هي الـ immunoglobulin و هي مثال عليها C3 + +462 +00:40:59,650 --> 00:41:03,710 +اللي بتتعرف على .. بتقعد على الـ microbial surface + +463 +00:41:03,710 --> 00:41:06,350 +و الـ IgM + +464 +00:41:16,080 --> 00:41:19,240 +وهكذا يبقى فيه مجموعة كبيرة من اللي هي pattern + +465 +00:41:19,240 --> 00:41:25,360 +recognition receptor هي الـ cellular location of + +466 +00:41:25,360 --> 00:41:29,420 +pattern recognition molecule of the immunity زي ما + +467 +00:41:29,420 --> 00:41:33,100 +أنتم شايفين فيه extra cellular زي الـ Toll-like + +468 +00:41:33,100 --> 00:41:37,900 +receptor فيه cytosolic زي الـ Nod-like receptor + +469 +00:41:37,900 --> 00:41:47,640 +وفيه endosome اندوزومة ماشي في منها Toll-like في + +470 +00:41:47,640 --> 00:41:53,040 +منها طبعا تتعرف على الـ virus DNA or RNA اندوزومال + +471 +00:41:53,040 --> 00:41:58,380 +ممبرين هيبقى سواء كانت الـ antigen في أي مكان مكان + +472 +00:41:58,380 --> 00:42:03,680 +الخلية إما برا أو إما جوا تستطيع تتعرف عليه الخلية + +473 +00:42:03,680 --> 00:42:10,000 +وتتصد له نشوف بعض المعلومات قالوا الـ receptor of a + +474 +00:42:10,000 --> 00:42:13,320 +innate immune system are encoded in germline يعني + +475 +00:42:13,320 --> 00:42:20,110 +مخلوق بتخليق الخلية بينما الـ Receptor of Adaptive + +476 +00:42:20,110 --> 00:42:34,670 +Immunity يتم تجريبه من خلال + +477 +00:42:34,670 --> 00:42:35,630 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +478 +00:42:35,630 --> 00:42:35,690 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +479 +00:42:35,690 --> 00:42:35,710 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +480 +00:42:35,710 --> 00:42:38,050 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +481 +00:42:38,050 --> 00:42:45,290 +تجارب تجارب + +482 +00:42:46,630 --> 00:42:52,670 +يبقى في الـ germline في الـ innate في germline gene + +483 +00:42:52,670 --> 00:43:00,890 +الـ جين هذه محدودة تبدي نجات اللي هو الـ innate + +484 +00:43:00,890 --> 00:43:07,030 +immune receptor وبالتالي عددهم محدود بينما في ال + +485 +00:43:07,030 --> 00:43:11,130 +adaptive في عندنا مجموعة من الـ جينات اللي بيسألها + +486 +00:43:11,130 --> 00:43:16,850 +recombination مع بعض هذه مسئولة عن الـ receptor تبع + +487 +00:43:16,850 --> 00:43:22,190 +اللي هو الـ خلايا وبالتالي بتصفط و في كل مرض سبيته + +488 +00:43:22,190 --> 00:43:27,210 +مختلفة و بدونها receptor مختلف as a result + +489 +00:43:29,410 --> 00:43:32,470 +الـ تبريدوار الاصطناعي للإمينية الانتقالية + +490 +00:43:32,470 --> 00:43:38,050 +الانتقالية + +491 +00:43:38,050 --> 00:43:39,450 +الانتقالية الانتقالية الانتقالية الانتقالية + +492 +00:43:39,450 --> 00:43:44,150 +الانتقالية الانتقالية الانتقالية الانتقالية + +493 +00:43:44,150 --> 00:43:45,990 +الانتقالية الانتقالية الانتقالية الانتقالية + +494 +00:43:45,990 --> 00:43:46,470 +الانتقالية الانتقالية الانتقالية الانتقالية + +495 +00:43:46,470 --> 00:43:46,730 +الانتقالية الانتقالية الانتقالية الانتقالية + +496 +00:43:46,730 --> 00:43:48,150 +الانتقالية الانتقالية الانتقالية الانتقالية + +497 +00:43:48,150 --> 00:43:57,630 +الانتقالية الانتقالية الانتقالية الانتقالية + +498 +00:43:57,630 --> 00:43:59,090 +الآن + +499 +00:44:01,700 --> 00:44:06,500 +بالمقابل عدد الـ Receptors اللي بتتصنع في ال + +500 +00:44:06,500 --> 00:44:11,420 +Adaptive Immunity بتعدى + +501 +00:44:11,420 --> 00:44:15,080 +لعشرة قوة سبعة وفي بعض المراجع بتقول عشرة قوة عشرة + +502 +00:44:15,080 --> 00:44:23,660 +furthermore + +503 +00:44:23,660 --> 00:44:26,760 +where can the adaptive immune system + +504 +00:44:26,760 --> 00:44:28,720 +distinguish between antigens + +505 +00:44:31,490 --> 00:44:36,050 +تخيلوا ال .. ال .. ال .. ال .. في ال adaptive + +506 +00:44:36,050 --> 00:44:44,450 +immune system بصير في تعرف و تفريق of antigens + +507 +00:44:44,450 --> 00:44:50,610 +موجودة على different microbes of the same class + +508 +00:44:50,610 --> 00:44:54,730 +ماشي or even antigens + +509 +00:44:59,660 --> 00:45:03,700 +يعني ممكن one microbe يحتوي على أكثر من antigen و + +510 +00:45:03,700 --> 00:45:10,220 +أيضا ال adaptive immune system يتعرف على كل + +511 +00:45:10,220 --> 00:45:14,660 +antigen على حدة و ده مالطبيعي جدا أن antigen + +512 +00:45:14,660 --> 00:45:18,340 +واحد ممكن يحتوي على أكثر من Epitopes و كل Epitopes + +513 +00:45:18,340 --> 00:45:21,420 +ممكن ال Epitopes هذه ممكن تكون identical or + +514 +00:45:21,420 --> 00:45:25,550 +different يوم تكون identical one antibody or one + +515 +00:45:25,550 --> 00:45:29,070 +receptor هيتعرف عليهم كلهم لكن يوم ما يكونوا + +516 +00:45:29,070 --> 00:45:33,750 +different طبعا هيصير كل واحد إله إيش؟ إله اللي هو + +517 +00:45:33,750 --> 00:45:36,390 +receptor الخاص به + +518 +00:45:46,290 --> 00:45:49,330 +معرفة الـ Immunity كما تشاهدون فينا physical + +519 +00:45:49,330 --> 00:45:56,110 +barrier أو chemical barrier على skin طبعا دول إذا + +520 +00:45:56,110 --> 00:46:00,950 +كانت ال skin intact معناته تمنا اللي هو دخول ال + +521 +00:46:00,950 --> 00:46:03,690 +antigen من أصله ال physical barrier + +522 +00:46:06,770 --> 00:46:10,150 +والكيميكال باريار زي الاسدك بي أتش و ال + +523 +00:46:10,150 --> 00:46:14,630 +antimicrobial protein بيبتعد لكن once breached + +524 +00:46:14,630 --> 00:46:22,230 +مراتو الانتجين ممكن ياشي ممكن يدخل في داخل الجسم + +525 +00:46:22,230 --> 00:46:26,070 +Cellular Response to Infection ده هو ال pathogen + +526 +00:46:26,070 --> 00:46:36,180 +دخل ماشي ممكن تاخدوا خلية تعملوا phagocytosis و + +527 +00:46:36,180 --> 00:46:43,160 +تتصدى الى الانكيس اللى تقتله مباشرة أو تاخد + +528 +00:46:43,160 --> 00:46:48,380 +الماكروفيش و تعمله processing ماشي + +529 +00:46:52,660 --> 00:46:59,240 +T-lymphocytes وطبعا sorry ايوناقرافير ودندراتكسل + +530 +00:46:59,240 --> 00:47:04,520 +بوث أرفع جثتكسل بيعملوا اللي هو destruction + +531 +00:47:04,520 --> 00:47:09,940 +للموليكيول أو بس بيعملوا activation لل adaptive + +532 +00:47:09,940 --> 00:47:15,300 +immune system بي سل و T سل اتنشطت ال بي سل انتشرت + +533 +00:47:15,300 --> 00:47:21,960 +انتيبادي و T سل receptor ايضا اتنشط ل other types + +534 +00:47:21,960 --> 00:47:27,160 +of cells طبعاً activation of adaptive immunity جاي + +535 +00:47:27,160 --> 00:47:30,460 +من release of certain cytokine اللي أسطر عن + +536 +00:47:30,460 --> 00:47:35,340 +الخلايا اللي مسكت ال antigen نشطت وفرزعت cytokine + +537 +00:47:35,340 --> 00:47:39,480 +عملت ال inflammation وطلعت antimicrobial substance + +538 +00:47:39,480 --> 00:47:43,380 +وصار في systemic effect ده هو نشطت ال adaptive + +539 +00:47:43,380 --> 00:47:48,080 +immunity وإما تكون antibody وإما تكون T cell + +540 +00:47:53,100 --> 00:47:56,180 +الـ component of innate immunity هتكون تتكون من + +541 +00:47:56,180 --> 00:47:59,840 +ثلاثة مواقع أساسية إما anatomical barrier وهي عبارة + +542 +00:47:59,840 --> 00:48:03,260 +عن physical أو chemical أو cell زي ال phagocytic + +543 +00:48:03,260 --> 00:48:09,180 +cell و ال dendritic cell و ال NK cell أو اللي + +544 +00:48:09,180 --> 00:48:12,760 +هو ال soluble protein زي ال complement و ال + +545 +00:48:12,760 --> 00:48:18,740 +cytokine و ال chemokine و ال antimicrobial + +546 +00:48:18,740 --> 00:48:27,030 +substance ال ILC هي برعنة innate Lymphoid cell يعني + +547 +00:48:27,030 --> 00:48:32,130 +خلايا lymphoid لكنها داخلة في ايه؟ في الامنية + +548 +00:48:32,130 --> 00:48:37,550 +immunity ايش + +549 +00:48:37,550 --> 00:48:43,900 +الحاجات اللي ممكناش موجودة في ال host ايضا وبتلعب + +550 +00:48:43,900 --> 00:48:47,840 +دور ك antimicrobial action في ال innate immunity + +551 +00:48:47,840 --> 00:48:51,820 +جاله فيه عدة مواد منها ال glycoprotein substance + +552 +00:48:51,820 --> 00:48:55,580 +وأمثلة على ذلك دورهم ده هو زي ال iron زي ال + +553 +00:48:55,580 --> 00:49:01,420 +lactoferrin بيروحوا ملجة ال iron كلها وماسكوا زي + +554 +00:49:01,420 --> 00:49:07,960 +ال transferrin أيضا ممشك الـ Iron ثم certain + +555 +00:49:07,960 --> 00:49:12,540 +opsonizers زي الـ Fibrinogen هذه عبارة عن أيه؟ + +556 +00:49:12,540 --> 00:49:17,460 +عبارة عن Antimicrobial Substance بعض البروتينات زي + +557 +00:49:17,460 --> 00:49:18,280 +ال Isozyme + +558 +00:49:25,340 --> 00:49:27,980 +البروتين والكربوهيدر الكومليكزاد كومليمان + +559 +00:49:27,980 --> 00:49:32,700 +وإنفلاميشن تلعب دور كبير في انفلاميشن و بصممزيشن و + +560 +00:49:32,700 --> 00:49:38,380 +سيمبايسيز يبقى غير انه ال reception في other + +561 +00:49:38,380 --> 00:49:43,300 +antimicrobial substance موجودة في ال host تلعب دور + +562 +00:49:43,300 --> 00:49:44,260 +كبير في ال + +563 +00:49:47,140 --> 00:49:53,340 +وهيهم هنا summary هذه ال figure summary لل innate + +564 +00:49:53,340 --> 00:49:57,680 +immunity defenses يعني ال first line defense + +565 +00:49:57,680 --> 00:50:04,180 +mechanism غالبا متمثل ب skin and mucous membrane + +566 +00:50:04,180 --> 00:50:07,840 +قسموه ل physical barrier + +567 +00:50:10,970 --> 00:50:15,610 +والميوكاس والممرين ميوكاس واللاجرما الاباراتوس + +568 +00:50:15,610 --> 00:50:22,550 +موجود في العين سالايفا هير ميسيليا اميجلوتس اندرين + +569 +00:50:22,550 --> 00:50:26,970 +وجاينا سيكريشن و البريستاليسيز movement تبعت من + +570 +00:50:26,970 --> 00:50:33,860 +تبعت إلى معاق or chemical factors like sebum هذه + +571 +00:50:33,860 --> 00:50:38,860 +طبقة فوق ال .. ال skin تفرز تخلي ال skin acidic + +572 +00:50:38,860 --> 00:50:43,920 +برضه بمنع نمو البكتيريا saliva, gastric juice, + +573 +00:50:44,020 --> 00:50:49,600 +urine يعني برجع إلى ال secretion other + +574 +00:50:49,600 --> 00:50:51,760 +components + +575 +00:50:52,660 --> 00:50:56,260 +استكمالا للـ summary second line defense mechanism + +576 +00:50:56,260 --> 00:51:00,500 +زي الـ defense in cells و طبعا هذه من أشرح ال + +577 +00:51:00,500 --> 00:51:07,180 +phagocytic cells و ال NK cells ثم ال inflammation + +578 +00:51:07,180 --> 00:51:10,760 +بحد ذاته و ال fever inflammation confine and + +579 +00:51:10,760 --> 00:51:16,980 +destroy microbes بينما ال fever intensify the + +580 +00:51:16,980 --> 00:51:21,040 +effect of interferon وبالتالي تعمل انهيبشين لـ + +581 +00:51:21,040 --> 00:51:25,420 +growth of certain microbes بجهد أدوات أخرى أيضًا + +582 +00:51:25,420 --> 00:51:30,260 +بتعتبر second line defense mechanism بتفرزها اللي + +583 +00:51:30,260 --> 00:51:34,620 +هو أو بتشارك في جنية الميليدية كمان في + +584 +00:51:34,620 --> 00:51:36,980 +antimicrobial substances زي ال complement + +585 +00:51:36,980 --> 00:51:40,880 +interferon iron binding protein and antimicrobial + +586 +00:51:40,880 --> 00:51:42,300 +peptides + +587 +00:51:50,040 --> 00:51:53,440 +و طبعا استكمالا للموضوع نتعرف على الخلايا هذه + +588 +00:51:53,440 --> 00:51:57,300 +عبارة عن hematopoietic tree و احنا اتفقنا على ان ال + +589 +00:51:57,300 --> 00:52:01,040 +lymphoid cells تلعب ضول كبير في ال adaptive + +590 +00:52:01,040 --> 00:52:07,110 +immunity ميلويد بتلعب دور كبير في ال .. إيش؟ في ال + +591 +00:52:07,110 --> 00:52:12,070 +.. ال innate immunity وهذه صورة مهمة كبّر على الموضوع + +592 +00:52:12,070 --> 00:52:15,950 +هي كل الميلويد بما فيهم طبعا ال dendritic cells و + +593 +00:52:15,950 --> 00:52:19,670 +ال mast cells ماشي كلهم بتلعب دور كبير في ال innate + +594 +00:52:19,670 --> 00:52:23,190 +immunity بينما ال acquired immunity عبارة عن B و T + +595 +00:52:23,190 --> 00:52:27,370 +زي ما قلتلكم و ادناش ننسى ان في collaboration + +596 +00:52:27,370 --> 00:52:29,230 +بيشتغل في الجهتين + +597 +00:52:35,530 --> 00:52:38,890 +للماكروفيج اللي هتدور أساسي جدا في الانيت امينيتي + +598 +00:52:38,890 --> 00:52:43,930 +أيضا وجاله ماكروفيج في منها نوعين في منها اللي هو + +599 +00:52:43,930 --> 00:52:51,650 +fixed بيسموها لسه flexible program ماشي يعني ال + +600 +00:53:02,620 --> 00:53:06,660 +طبعا هي اللى بعدها كل انفار من جنة GM ثم كل انفار + +601 +00:53:06,660 --> 00:53:10,700 +من جنة M طلعت فى النهاية Macrophage ال Macrophage + +602 +00:53:10,700 --> 00:53:13,860 +في منها أنواع مختلفة لأن زي ما قلتلكوا هي عبارة عن + +603 +00:53:13,860 --> 00:53:18,200 +Fixed Macrophage في أنواع مختلفة منها حسب ال organ + +604 +00:53:18,200 --> 00:53:22,500 +اللي بتقعد في هفى في ال lung alveolar في في ال + +605 +00:53:22,500 --> 00:53:28,000 +bone osteoclast في ال histiocytes ايضا موجودة طبعا + +606 +00:53:28,000 --> 00:53:31,180 +هي Kupffer cells و ال microglia + +607 +00:53:35,020 --> 00:53:42,820 +والعبارة عن أنواع خاصة بالأعضاء المختلفة أيضا ال + +608 +00:53:42,820 --> 00:53:46,480 +macrophage activation ممكن أنه لها أكثر من ايش + +609 +00:53:46,480 --> 00:53:52,900 +أكثر من وظيفة ال macrophage وهذه الوظائف usually + +610 +00:53:52,900 --> 00:53:58,100 +ال program تبعها driven by micro environmental + +611 +00:53:58,100 --> 00:54:02,560 +signals ف certain cytokines can be released وفي كل + +612 +00:54:02,560 --> 00:54:03,560 +مرة already genetic + +613 +00:54:06,780 --> 00:54:09,920 +changes هتغيرنا ال phenotype و ال functional + +614 +00:54:09,920 --> 00:54:15,080 +plasticity of the macrophage فعلى سبيل الاسئلة قد + +615 +00:54:15,080 --> 00:54:18,440 +تقول ان ال macrophage تلعب يعني سلاح ذوحدين هي في + +616 +00:54:18,440 --> 00:54:24,680 +ال gamma interferon بتتحول ل M1 cells في وجود ال + +617 +00:54:24,680 --> 00:54:31,910 +IL-4 و IL-13 ايضا تتحول ل M2 cells في وجود الـ Toll + +618 +00:54:31,910 --> 00:54:35,750 +-like receptors تتحول لغاية الـ TIN regulatory اللي + +619 +00:54:35,750 --> 00:54:40,810 +هو الـ Cell طبعا كل واحدة منها دهية فدي عبارة عن + +620 +00:54:40,810 --> 00:54:44,930 +Pro-inflammatory and regulate wound healing فدي + +621 +00:54:44,930 --> 00:54:49,510 +عبارة عن Anti-inflammatory لكن بالمقابل تقريبا + +622 +00:54:49,510 --> 00:54:53,310 +جميع الناس اللي عدوا ع الدين ممكن هذه الخلايا + +623 +00:54:57,590 --> 00:55:02,470 +ماشي تتكون خلايا أخرى زي tumor associated + +624 +00:55:02,470 --> 00:55:11,090 +macrophages و ال myeloid derived stem cells ماشي + +625 +00:55:11,090 --> 00:55:12,410 +هدولة both + +626 +00:55:22,420 --> 00:55:26,040 +Tumorogenesis يعني بيساعدوا في severity of the tumor + +627 +00:55:26,040 --> 00:55:30,760 +في هذه الحالة وقرب المقال Myeloid راح تستمثل أصلا + +628 +00:55:30,760 --> 00:55:34,600 +وسلة differentiation من the tumor associated with + +629 +00:55:34,600 --> 00:55:42,720 +macrophages وبالتالي في وجود certain طبعا + +630 +00:55:42,720 --> 00:55:46,460 +triggering factor بتتحول وسلة differentiation + +631 +00:55:46,460 --> 00:55:47,380 +بتتكون + +632 +00:55:53,250 --> 00:55:56,010 +هذه صورة لـ Neutrophil under electron microscope + +633 +00:55:56,010 --> 00:56:01,530 +نيوتروفيل خلية أخرى من الفاجوسيدكسيل طبعا في الجسم + +634 +00:56:01,530 --> 00:56:04,750 +ينتج + +635 +00:56:04,750 --> 00:56:10,650 +هذه الخلية بسرعة سبعة مليون خلية في الدقيقة + +636 +00:56:10,650 --> 00:56:16,250 +الواحدة تطلع من البوماروال life span تبعتها صغيرة + +637 +00:56:16,250 --> 00:56:20,370 +short-lived بتعيش يومين إلى ثلاثة أيام و لأن ال + +638 +00:56:20,370 --> 00:56:23,030 +granules تبعتها تحتوي على certain antibiotic + +639 +00:56:23,030 --> 00:56:29,550 +protein و غالبا بيخزن على شاكلتين الشاكلة الأولى + +640 +00:56:29,550 --> 00:56:33,550 +هي عبارة عن primary أو بيسموها azurophilic granules + +641 +00:56:33,550 --> 00:56:38,130 +تحتوي على lysozyme containing acid hydrolase + +642 +00:56:38,130 --> 00:56:39,250 +myeloperoxidase + +643 +00:56:45,070 --> 00:56:48,510 +والشكل الثاني هو عبارة عن الـ secondary granules + +644 +00:56:48,510 --> 00:56:51,790 +ويبقى عبارة عن الـ specific to neutrophil كثيرا، + +645 +00:56:51,790 --> 00:56:58,970 +اللاكتوفيرين واللاكتوفيرين والإيوسين.Dendritic + +646 +00:56:58,970 --> 00:57:04,870 +cell هي عبارة عن long-lived cell and it resides in + +647 +00:57:04,870 --> 00:57:07,410 +immature state in most tissues. + +648 +00:57:11,410 --> 00:57:16,890 +على ال pathogen الولوفاجو سايتوسيز and they are + +649 +00:57:16,890 --> 00:57:22,130 +found as interdigitating cells of the thymus ال + +650 +00:57:22,130 --> 00:57:27,750 +interdigitating cells هي عبارة عن الخلايا التي تقدم + +651 +00:57:27,750 --> 00:57:31,910 +ال MHC molecules لل T lymphocytes في مراحل مبكرة جدا + +652 +00:57:31,910 --> 00:57:38,560 +حتى تتعرف عليهمثال آخر على الـ Dendritic Cell هو + +653 +00:57:38,560 --> 00:57:43,780 +الـ Langerhans cells اللي موجودة في الـ skin. Both are + +654 +00:57:43,780 --> 00:57:47,340 +derived from the same haematopoietic precursor as + +655 +00:57:47,340 --> 00:57:48,240 +monocytes. + +656 +00:57:51,180 --> 00:57:54,840 +Upon direct contact with many pathogens, this will + +657 +00:57:54,840 --> 00:57:55,840 +lead to maturation. + +658 +00:58:15,040 --> 00:58:23,390 +بالتالي مهم جدا في الـ innate و في الأدابالانتجين + +659 +00:58:23,390 --> 00:58:26,610 +للـ T-lymphocytes بتنشطها و T-lymphocytes احنا + +660 +00:58:26,610 --> 00:58:32,070 +اتفقنا ان هي احد أدوات ال adaptive immunity وشوفوا + +661 +00:58:32,070 --> 00:58:39,330 +هيدنتر تكسل ماشي ممكن ترتبط في الانتجين ده هي + +662 +00:58:39,330 --> 00:58:45,810 +رتبطت في الانتجين من خلال ال HLA أو ال MRC موجود + +663 +00:58:45,810 --> 00:58:49,490 +بتنشط + +664 +00:58:49,490 --> 00:58:52,270 +ال cytotoxic T-lymphocytes + +665 +00:58:54,010 --> 00:58:58,090 +من خلال رابطتين الرابط الأولانية بيسموها اختار + +666 +00:58:58,090 --> 00:59:02,390 +اللي هو ارتباط ال TCR بالانتجن والرابط الثاني من + +667 +00:59:02,390 --> 00:59:08,250 +خلال ارتباط ال B7 CD28 وهو بالتالي بتتنشط اللي هو + +668 +00:59:08,250 --> 00:59:13,710 +ال cytotoxic lymphocytes وبتعمل apoptosis ل tumor + +669 +00:59:13,710 --> 00:59:22,380 +cells أو أيضا ممكن تقدم الانتجن ل CD4 T cells وبرضه + +670 +00:59:22,380 --> 00:59:29,220 +نفس الارتباطات B7 مع CD28 وTCR مع MHC class 2 هناك + +671 +00:59:29,220 --> 00:59:35,160 +class واحدة وبالتالي تتنشط ال CD4 تفرز IL2 تتنشط + +672 +00:59:35,160 --> 00:59:41,440 +cytotoxic أو تفرز gamma interferon وفي وجود CD4 + +673 +00:59:41,440 --> 00:59:48,400 +T40 legend ممكن أيضا اللي هو تتنشط وبالتالي بيصير + +674 +00:59:48,400 --> 00:59:53,440 +فيه زيادة في ال antigen presentation أو يمكن أن + +675 +00:59:53,440 --> 00:59:58,140 +يكون على اكتفاء تعمل اكتفاء مبتدأ لديوم السلم + +676 +00:59:58,140 --> 01:00:03,160 +وبالتالي تحصل على انكسل + +677 +01:00:03,160 --> 01:00:06,680 +انكسل هم أشخاص من نظام الانهيطيبيون + +678 +01:00:09,480 --> 01:00:14,780 +أو لعن خلية متخصصة في ال virally infected cells و + +679 +01:00:14,780 --> 01:00:18,180 +في ال malignant cells against .. بتشتغل against + +680 +01:00:18,180 --> 01:00:25,500 +virally infected cells and tumorigenesis و طبعا جبل + +681 +01:00:25,500 --> 01:00:30,280 +ما تشتغل ال TE cytotoxic lymphocytes بتشتغل ال + +682 +01:00:30,280 --> 01:00:33,620 +NK cells لأنها أحد أدوات ال innate فال innate + +683 +01:00:33,620 --> 01:00:39,060 +بيشتغل جبل مين؟ جبل الأدابةهي خلية كبيرة و جرانيلة + +684 +01:00:39,060 --> 01:00:43,140 +و ليمفاوية و لديها القدرة على إعادة إعادة إعادة + +685 +01:00:43,140 --> 01:00:44,040 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +686 +01:00:44,040 --> 01:00:47,520 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +687 +01:00:47,520 --> 01:00:50,240 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +688 +01:00:50,240 --> 01:00:50,300 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +689 +01:00:50,300 --> 01:00:53,780 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +690 +01:00:53,780 --> 01:01:01,380 +إعادة إعادة إعادة إعادة إعادة + +691 +01:01:01,380 --> 01:01:04,600 +إعاد + +692 +01:01:09,670 --> 01:01:15,170 +أو تعمل cytotoxicity تسمم الخلية المصابة وبالتالي + +693 +01:01:15,170 --> 01:01:22,190 +تقتلها ماشي أو ال tumor cell دقيقة بتروح و هي + +694 +01:01:22,190 --> 01:01:26,710 +مرتبطة هنا من خلالها من خلال ال activating + +695 +01:01:26,710 --> 01:01:30,730 +receptor ده هو طبعا ب stress induced ligand و + +696 +01:01:30,730 --> 01:01:36,010 +اتنشطت و طبعا إفرازات اللي هو granules عملت lysis + +697 +01:01:36,010 --> 01:01:37,110 +of the target cell + +698 +01:01:47,570 --> 01:01:51,130 +كيفية تم عملية القتل ده هي طبعا هي الانكي سيل + +699 +01:01:51,130 --> 01:01:59,290 +ارتبطت بين ال virus infected cell قتلتها عملت + +700 +01:01:59,290 --> 01:02:03,650 +degranulation قتلتها وارتبطت هنا ب injured cell و + +701 +01:02:03,650 --> 01:02:10,930 +برضه عملت degranulation و راح قتلتها في ال B هذا هي + +702 +01:02:10,930 --> 01:02:17,850 +microphage طلعت لجتها عاملة phagocytosis ل micro + +703 +01:02:17,850 --> 01:02:26,430 +و لما تعمل phagocytosis ل micro phage بتتنشر طبعا + +704 +01:02:26,430 --> 01:02:35,840 +فبتقدم ال antigen هذا هي و بتفرز cytokine يبقى + +705 +01:02:35,840 --> 01:02:39,680 +بيصير في direct contact أولا ثم بيصير في release of + +706 +01:02:39,680 --> 01:02:45,080 +cytokine في هذه الحالة إذا كان إفراز IL-12 بتروح + +707 +01:02:45,080 --> 01:02:53,100 +هي الانكس المتنشطة ومطلعة gamma interferon اللي + +708 +01:02:53,100 --> 01:02:56,900 +بتحفز ال microphage على قتل الميكروب اللي في + +709 +01:02:56,900 --> 01:03:03,100 +داخلها فبيصير في killing لل phagocytosed microbe + +710 +01:03:04,300 --> 01:03:07,860 +يبقى إما بتعمل direct killing by degranulation + +711 +01:03:07,860 --> 01:03:13,440 +وإما إنها تقدملها الانتجم بطريقة معينة by source و + +712 +01:03:13,440 --> 01:03:17,840 +in the presence of certain cytokines زي IL-12 تتنشط + +713 +01:03:17,840 --> 01:03:21,220 +و تفرز جاما انترفيرون فبتحفز الماكروفيجي علاقات + +714 +01:03:21,220 --> 01:03:29,880 +مافي داخلها الانكسل أيضا express non-TCR ما عليهاش + +715 +01:03:29,880 --> 01:03:31,580 +TCR related receptors + +716 +01:03:34,390 --> 01:03:40,150 +TCR receptors وإنما عليها other receptors زي ال killer + +717 +01:03:40,150 --> 01:03:50,290 +cell inhibitory receptors و killer activating receptors + +718 +01:03:50,290 --> 01:03:56,770 +ال KIR specific for MHC class 1 molecules + +719 +01:03:59,600 --> 01:04:03,980 +وعملية القتل عادة بتتم من خلال release of certain + +720 +01:04:03,980 --> 01:04:09,220 +cytotoxic molecules بعضهم بيعمل عملية خرج يعني + +721 +01:04:09,220 --> 01:04:15,140 +formation of a hole in the target cell و الثاني + +722 +01:04:15,140 --> 01:04:20,880 +بدخل و بيعمل license للخلية by activation of + +723 +01:04:20,880 --> 01:04:29,180 +apoptosis mechanism ماشي يبقى هي ال NK cell على + +724 +01:04:29,180 --> 01:04:34,160 +سطحه Receptor واحد اسمه Inhibitory ده هو ال KIR + +725 +01:04:34,160 --> 01:04:40,580 +والتاني Activatory ال Inhibitory specific for MHC + +726 +01:04:40,580 --> 01:04:48,460 +class 1 molecules و ال activating receptor بيرتبط ب + +727 +01:04:48,460 --> 01:04:51,920 +ligand اسمه activating ligand على سطح ال target + +728 +01:04:51,920 --> 01:04:58,530 +cell ماشي و الأن هنشوف ال mechanism طبعا زي ما + +729 +01:04:58,530 --> 01:05:02,750 +تشايفين الـ Receptors اللي موجودة ده هي الـ NK cells و + +730 +01:05:02,750 --> 01:05:07,930 +عليها كل دولة Receptors عليها Activating Receptors + +731 +01:05:07,930 --> 01:05:13,170 +زي ما تشايفين و هي متمثلين بالخط الأخضر عليها + +732 +01:05:13,170 --> 01:05:16,470 +Inhibitory Receptors ده هو متمثلين بالخط الأحمر + +733 +01:05:16,470 --> 01:05:21,710 +عليها Chemotactic Receptors متمثلين بالموف هذا + +734 +01:05:21,710 --> 01:05:27,680 +عليها Adhesion Receptors ده هو وهي طبعا في cytokine + +735 +01:05:27,680 --> 01:05:31,480 +receptors موجودين في منطقة ال air activating + +736 +01:05:31,480 --> 01:05:35,860 +receptors كيف + +737 +01:05:35,860 --> 01:05:43,560 +نتحكم بعمل ال NK cell يعني ال control of NK + +738 +01:05:43,560 --> 01:05:51,000 +cells ماشي اتفقنا ان في عندنا inhibitory receptor و + +739 +01:05:51,000 --> 01:05:56,980 +activating receptor ماذا يحدث؟ جاء الـActivating + +740 +01:05:56,980 --> 01:06:01,760 +طبعا ده هو الـInhibitory الـCentral هو بره + +741 +01:06:01,760 --> 01:06:06,800 +الـCentral في الامة MHC Class I molecules يوم + +742 +01:06:06,800 --> 01:06:12,560 +يكون موجود لما الـMHC Class I molecules يروحوا مرتبط + +743 +01:06:12,560 --> 01:06:20,560 +بالـKIR ارتباطه بالـKIR بنشط اللي هو Phosphatase + +744 +01:06:20,560 --> 01:06:22,080 +enzyme + +745 +01:06:24,270 --> 01:06:28,850 +و ال phosphatase بيعمل dephosphorylation لل + +746 +01:06:28,850 --> 01:06:32,950 +protein tyrosine kinase وبالتالي بيعمل inhibition + +747 +01:06:32,950 --> 01:06:38,450 +لل activating receptors و بيصير فيه ايش inhibitory + +748 +01:06:38,450 --> 01:06:43,960 +action مرة ثانية يوم ما تيجي خلية سليمة فدهي هنا + +749 +01:06:43,960 --> 01:06:50,100 +تحت خلية سليمة الخلايا السليمة عادة على سطحها MHC + +750 +01:06:50,100 --> 01:06:54,020 +Class I Molecules NK cells عليها سطحها MHC + +751 +01:06:54,020 --> 01:06:58,840 +Class I Molecule فطبعا وجود MSC Class I Molecule + +752 +01:06:58,840 --> 01:07:05,480 +هو مرتبط بالخلية إنما تصادف عن K Cell تروحوا يرتبط + +753 +01:07:05,480 --> 01:07:09,180 +به وبالتالي بتنشط اللي هو + +754 +01:07:11,910 --> 01:07:14,990 +ماشي فوسفاتيز إنزيم، شو بعمل؟ بعمل + +755 +01:07:14,990 --> 01:07:18,430 +dephosphorylation للبروتين تالوزين كاينيز وين + +756 +01:07:18,430 --> 01:07:22,390 +موجود على الـ activating receptor وبالتالي بعمله + +757 +01:07:22,390 --> 01:07:29,830 +إنهائبه في غياب الـ MHC class one molecule في غيابه، + +758 +01:07:29,830 --> 01:07:33,700 +شو اللي بيصير؟ كانوا والله في غيابه الـ activating + +759 +01:07:33,700 --> 01:07:39,320 +receptor بده يصله في exfoliation يتمشط ويرتبط بمين + +760 +01:07:39,320 --> 01:07:43,160 +من الليجين تبعه اللي موجودة على الـ target cell + +761 +01:07:43,160 --> 01:07:47,400 +وصير في ارتباط وبالتالي بيصير عملية قتل لأن زي ما + +762 +01:07:47,400 --> 01:07:51,240 +أنتم شايفين هنا الخلية لم تقتل لأنه في عالية + +763 +01:07:51,240 --> 01:07:54,180 +سطحها inhibitory receptor أمازي Class I molecular + +764 +01:07:54,180 --> 01:08:04,220 +وهنا قتلت لأنه في غياب للـ MHC Class I molecule في بعض + +765 +01:08:04,220 --> 01:08:09,600 +المرات شو اللي بيصير بيصير في إن الخلايا بتكون over + +766 +01:08:09,600 --> 01:08:13,180 +stressed يعني stressed cell بيسموها stressed cell + +767 +01:08:13,180 --> 01:08:18,000 +وبيصير في هذه الحالة induction أو expression لـ + +768 +01:08:18,000 --> 01:08:22,970 +activating ligand أكثر من واحد ماشي وبالتالي لما + +769 +01:08:22,970 --> 01:08:29,030 +يمسك أكثر من واحد activating ligand في الـ activating + +770 +01:08:29,030 --> 01:08:32,090 +receptor على سطح الخلية يمسك فيه activating ligand + +771 +01:08:32,090 --> 01:08:35,350 +طبعا في هذه الحالة بيصير عملية قتل الـ stressed + +772 +01:08:35,350 --> 01:08:39,850 +cell قتل إيه؟ وأكثر إيش بيصير فيه stressed cell + +773 +01:08:39,850 --> 01:08:49,010 +لأنه يوم يكون فيه infection و acute infection فهي + +774 +01:08:49,010 --> 01:08:49,510 +receptor + +775 +01:09:01,980 --> 01:09:04,820 +Pattern recognition receptor other than اللي + +776 +01:09:04,820 --> 01:09:10,120 +حكيناه سابقا ده الـ F مثل لويسين في نطاب الـ + +777 +01:09:10,120 --> 01:09:13,480 +receptor موجود على سطح الـنيوتروفيولوجيتال + +778 +01:09:13,480 --> 01:09:17,200 +ككينوتاكتك الـ receptor بيرتبط في الـunformulated + +779 +01:09:17,200 --> 01:09:22,200 +peptide بسيارة البكتيريا وبالتالي بيوجه البكتيريا + +780 +01:09:22,200 --> 01:09:26,480 +إلى مكان الـ infection منهان by neglecting + +781 +01:09:32,140 --> 01:09:39,560 +لتعرف على الميكروبط اللي يسمّى pathogenic وأيضا + +782 +01:09:39,560 --> 01:09:48,020 +ارتباط الـفاجوسايت منهز binding لكتين لسيبتل بهذه + +783 +01:09:48,020 --> 01:09:52,860 +السكريات اللي موجودة على سطحها هيأدى الـactivation + +784 +01:09:52,860 --> 01:09:57,220 +of lictin pathway of the complement كما أنتم + +785 +01:09:57,220 --> 01:10:02,210 +شايفين هناالمانوز مرتبط بشرين البروتيز واحد واثنين + +786 +01:10:02,210 --> 01:10:05,970 +دول عبارة عن enzymes بنشط السكاريجيات مهينة هان + +787 +01:10:05,970 --> 01:10:12,270 +وبالتالي بترتمشط الخلية + +788 +01:10:12,270 --> 01:10:22,830 +وبتعمل عمل إفقاط للميكروب + +789 +01:10:22,830 --> 01:10:26,370 +قد الـريسيبتور الاسكابينجيا الـريسيبتور + +790 +01:10:45,220 --> 01:10:48,820 +مجموعة من الـوثائق المعروفة من مجموعة من الـوثائق + +791 +01:10:48,820 --> 01:10:53,020 +المعروفة من + +792 +01:10:56,720 --> 01:11:00,620 +بالنسبة لـ Adaptive immunity لأنه بيصير فيه + +793 +01:11:00,620 --> 01:11:06,400 +release of certain cytokine طبعا certain cytokine + +794 +01:11:06,400 --> 01:11:10,900 +بيؤدي إلى activation of adaptive immunity هو تنشيط + +795 +01:11:10,900 --> 01:11:18,520 +الـ co-stimulatory reaction why؟ + +796 +01:11:18,520 --> 01:11:21,280 +أولا عن الـ receptors عليه certain toll-like + +797 +01:11:21,280 --> 01:11:27,530 +receptor كل واحد بتعرف على certain antigen فهي تلعب + +798 +01:11:27,530 --> 01:11:31,050 +ريسيبتور أربعة وخمسة بتعرف على اللايب ولسه كرايب + +799 +01:11:31,050 --> 01:11:35,930 +وواحد واثنين وستة بتعرف على لايب وبيبتايد + +800 +01:11:35,930 --> 01:11:40,230 +موجودة في gram نيجاتين بكتيريا في gram نيجاتين و + +801 +01:11:40,230 --> 01:11:44,750 +ثلاثة أو سبعة أو ثمانية أو تسعة بتعرفوا على ويرل + +802 +01:11:44,750 --> 01:11:46,250 +انبكتيريا النكليكاسيد + +803 +01:11:52,560 --> 01:11:58,320 +الـ Peptide و Glycine عبارة عن Peptide أو الـ + +804 +01:11:58,320 --> 01:12:05,000 +pathogen component ارتبط بتقول ريسبتر واحد واثنين و + +805 +01:12:05,000 --> 01:12:08,860 +خمسة وستة كلهم specific له للـ Peptide و Glycine + +806 +01:12:08,860 --> 01:12:10,740 +طبعا هذا بينشط + +807 +01:12:19,490 --> 01:12:24,230 +الذي يؤدي إلى expression of inflammatory gene الذي + +808 +01:12:24,230 --> 01:12:24,350 +يؤدي إلى expression of inflammatory gene الذي يؤدي + +809 +01:12:24,350 --> 01:12:25,490 +إلى expression of inflammatory gene الذي يؤدي إلى + +810 +01:12:25,490 --> 01:12:26,390 +expression of inflammatory gene الذي يؤدي إلى + +811 +01:12:26,390 --> 01:12:27,030 +expression of inflammatory gene الذي يؤدي إلى + +812 +01:12:27,030 --> 01:12:27,550 +expression of inflammatory gene الذي يؤدي إلى + +813 +01:12:27,550 --> 01:12:29,490 +expression of inflammatory gene الذي يؤدي إلى + +814 +01:12:29,490 --> 01:12:30,570 +expression of inflammatory gene الذي يؤدي إلى + +815 +01:12:30,570 --> 01:12:30,990 +expression of inflammatory gene الذي يؤدي إلى + +816 +01:12:30,990 --> 01:12:31,190 +expression of inflammatory gene الذي يؤدي إلى + +817 +01:12:31,190 --> 01:12:32,730 +expression of inflammatory gene الذي يؤدي إلى + +818 +01:12:32,730 --> 01:12:34,910 +expression of inflammatory gene الذي يؤدي إلى + +819 +01:12:34,910 --> 01:12:35,530 +expression of inflammatory gene الذي يؤدي إلى + +820 +01:12:35,530 --> 01:12:38,850 +expression of inflammatory gene الذي + +821 +01:12:38,850 --> 01:12:41,550 +يؤدي إلى expression of inflammatory gene الذي + +822 +01:12:42,930 --> 01:12:47,930 +Stimulation of Adaptive Immunity طبعاً هذا الكلام + +823 +01:12:47,930 --> 01:12:51,010 +ممكن يصير في حالة اللايبوب ومو لسه كرايض لو طلعت + +824 +01:12:51,010 --> 01:12:57,410 +رسالته أربعة ماشي هذا بنشط برضه ممكن يساعد أو + +825 +01:12:57,410 --> 01:13:03,730 +automatically ممكن ينشط الـ adaptive protein اللي + +826 +01:13:03,730 --> 01:13:10,550 +هو معيدي 88 أو يستعين بأخر protein زي الـ TRIF + +827 +01:13:14,570 --> 01:13:20,070 +النشطة الان اف كعب أو بي ريسبتور الـ transcription + +828 +01:13:20,070 --> 01:13:24,410 +factor sorry وهذا بيقلق بيقلق بيقلق بيقلق بيقلق + +829 +01:13:24,410 --> 01:13:24,950 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +830 +01:13:24,950 --> 01:13:26,070 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +831 +01:13:26,070 --> 01:13:26,810 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +832 +01:13:26,810 --> 01:13:35,090 +بيقلق + +833 +01:13:35,090 --> 01:13:43,530 +بيقلق + +834 +01:13:43,530 --> 01:13:51,650 +بماشي يرتبط بـ single strand RNA أو CBD DNA ماشي أو + +835 +01:13:51,650 --> 01:13:55,850 +to like receptor تلاتة اللي ممكن يرتبط بـ double + +836 +01:13:55,850 --> 01:14:01,990 +strand RNA طبعا نفس الميكانيزم هي هذا بيستعين بـ + +837 +01:14:01,990 --> 01:14:08,250 +TRIF adaptoriprotein وهذا بيستعين بـ MYD + +838 +01:14:08,250 --> 01:14:13,650 +adaptoriprotein + +839 +01:14:15,030 --> 01:14:17,790 +سواء كان هذا الميكانيزم أو هذا الميكانيزم محاصر بـ + +840 +01:14:17,790 --> 01:14:22,330 +acute inflammation وAntiviral + +841 +01:14:22,330 --> 01:14:26,450 +states ميكانيزم + +842 +01:14:26,450 --> 01:14:29,910 +آخر اسمه الـ nucleotide winding oligomerization + +843 +01:14:29,910 --> 01:14:37,050 +domain اللي هو اختصارها NOD-like receptor دول + +844 +01:14:37,050 --> 01:14:44,010 +موجودين في الـ cytosol وبتعرفوا على الـ alert cell + +845 +01:14:44,010 --> 01:14:48,850 +to invasion by intracellular pathogen دخل انتجن في + +846 +01:14:48,850 --> 01:14:55,010 +داخل الخلية بيحفظ بينشط اللي هو الخلايا للتعرف + +847 +01:14:55,010 --> 01:15:00,130 +عليه وللارتباط فيه غالبا بسله activation أما by + +848 +01:15:00,130 --> 01:15:05,640 +bacteria derived molecule زي اللتي رأيناها أولا + +849 +01:15:05,640 --> 01:15:11,200 +الـRNA أو الـOxytocin والفلاجلين في الـCytosol بس + +850 +01:15:11,200 --> 01:15:14,300 +يرتبطه مدلعك ريسيكتور انشياتي بروجرام of cellular + +851 +01:15:14,300 --> 01:15:19,620 +activity وحصلتها انفلاماتوري ريسبونس واخرى + +852 +01:15:19,620 --> 01:15:21,620 +ميكانيزات محافظة الروحانية مثل الانفكشن + +853 +01:15:21,620 --> 01:15:23,540 +الانتفارالي + +854 +01:15:26,720 --> 01:15:31,560 +الـريسيبتور اللي هو not like receptor الجين بيؤدي + +855 +01:15:31,560 --> 01:15:38,680 +إلى chronic disease ومن أشرها الأزمة هذا + +856 +01:15:38,680 --> 01:15:40,580 +بالنسبة للـ innate immunity + +857 +01:15:47,980 --> 01:15:51,740 +اللي بيصير فيه generation of antigen specific + +858 +01:15:51,740 --> 01:15:56,780 +lymphocyte ولما تتنشر في هذه الخلايا بيسموها + +859 +01:15:56,780 --> 01:16:01,520 +effector cell شو بيسموها effector cell generation + +860 +01:16:01,520 --> 01:16:05,560 +of mimic cell أيضًا يحدث في الـ adaptive immunity + +861 +01:16:08,580 --> 01:16:15,340 +يقولنا it takes time تحتاج لـ 96 ساعة at least and + +862 +01:16:15,340 --> 01:16:19,300 +it exhibits specificity against foreign substrates + +863 +01:16:19,300 --> 01:16:26,260 +وإنها specific شو + +864 +01:16:26,260 --> 01:16:30,930 +اللي بيصير؟ اللي بيصير إن الـ reaction بيتم في الـ + +865 +01:16:30,930 --> 01:16:34,050 +secondary lymphoid organs طيب إيش الـ secondary + +866 +01:16:34,050 --> 01:16:36,710 +lymphoid organs؟ خليني أتعرف بشكل عام الآن على الـ + +867 +01:16:36,710 --> 01:16:40,050 +lymphatic organs وقالوا الـ lymphatic organs هي + +868 +01:16:40,050 --> 01:16:43,390 +مقارنة عن الـ size in which lymphocyte maturation + +869 +01:16:43,390 --> 01:16:45,770 +and differentiation and proliferation take place + +870 +01:16:45,770 --> 01:16:50,210 +يبقى الـ lymphocyte تتنشط بسبب differentiation و + +871 +01:16:50,210 --> 01:16:54,750 +proliferation و maturation في الـ lymphoid organs + +872 +01:16:57,220 --> 01:17:00,920 +Primary أو Central lymphoid organ زي المولمر + +873 +01:17:00,920 --> 01:17:07,000 +والثائمس اللي بيصير فيه إن هذه الخلايا الـ B و T + +874 +01:17:07,000 --> 01:17:12,080 +lymphocyte تتنشط وسلمه sorry سلمه maturation و + +875 +01:17:12,080 --> 01:17:18,960 +بتكتسب antigen specific للcenter في غياب الـ + +876 +01:17:18,960 --> 01:17:20,440 +antigen عشان هيك بيسموها + +877 +01:17:25,850 --> 01:17:31,510 +بتطلع الخلايا mature وعلى سطحها receptor وكل خلية + +878 +01:17:31,510 --> 01:17:37,590 +is specific only for one antigen فبصير لها + +879 +01:17:37,590 --> 01:17:43,750 +circulation وبعدها بتبدأ تلف أو سموها homing بتبدأ تلف + +880 +01:17:43,750 --> 01:17:49,570 +وتبقى looking for the antigen والله إذا كان ما لاقيتهش + +881 +01:17:49,570 --> 01:17:54,570 +it will die by the end of its lifespan إذا كان + +882 +01:17:54,570 --> 01:17:57,970 +لاقيه بتاخده و تروح على الـ secondary lymphoid + +883 +01:17:57,970 --> 01:18:01,350 +organs وفي الـ secondary lymphoid organs بصير عملية + +884 +01:18:01,350 --> 01:18:02,770 +proliferation و differentiation + +885 +01:18:14,910 --> 01:18:19,370 +الـ immune response وهذه مواقع طبعا secondary + +886 +01:18:19,370 --> 01:18:23,730 +lymphoid organs طبعا الـ .. sorry الـ .. الـ .. الـ + +887 +01:18:23,730 --> 01:18:26,810 +lymphoid organs شكرا جزيلا من أشهر خليني أدّي في الـ + +888 +01:18:26,810 --> 01:18:29,470 +.. في الـ primary lymphoid organs بقولنا thymus و + +889 +01:18:29,470 --> 01:18:36,770 +bone marrow thymus هي عبارة عن غدة موجودة + +890 +01:18:36,770 --> 01:18:40,950 +في الـ thoracic cavity over + +891 +01:18:43,500 --> 01:18:50,480 +ماشي وفيها عملية maturation and proliferation + +892 +01:18:50,480 --> 01:18:54,660 +of T lymphocytes طيب ايش اللي بيصير؟ + +893 +01:18:57,980 --> 01:19:00,780 +sorry بيصير في maturation of lymphocytes + +894 +01:19:00,780 --> 01:19:05,960 +differentiation والـ .. والـ .. والـ proliferation + +895 +01:19:05,960 --> 01:19:08,840 +بيصير في السكان المفضل، هان بس بيصير ايش؟ + +896 +01:19:08,840 --> 01:19:17,230 +maturation و learning of T lymphocytes، ماشي؟ هي + +897 +01:19:17,230 --> 01:19:20,790 +عبارة عن Thymus gland is a lymphoid-piloïd + +898 +01:19:20,790 --> 01:19:25,830 +structure في مرحلة مبكرة جدا الـ T lymphocytes + +899 +01:19:25,830 --> 01:19:30,890 +precursor cell بتروح عليها وهناك بتم عملية + +900 +01:19:30,890 --> 01:19:31,610 +تعليمها + +901 +01:19:37,790 --> 01:19:41,610 +الطبيعي During fetal development, the size of the + +902 +01:19:41,610 --> 01:19:45,390 +thymus increases. The growth continues until + +903 +01:19:45,390 --> 01:19:50,990 +puberty. تنمو وتكبر تنمو وتكبر هذه الغدة لغاية سن + +904 +01:19:50,990 --> 01:19:54,050 +البلوغ thereafter the thymus undergoes atrophy بعد + +905 +01:19:54,050 --> 01:20:00,810 +هيك بسنها atrophy by aging تتكون من جزئين مهمين + +906 +01:20:00,810 --> 01:20:06,910 +Cortex و Medulla وهذه مفتوحة بـ Thymocyte، + +907 +01:20:06,910 --> 01:20:12,590 +ليمفوسايت مادور في البرتقال ومشهورة إلى الميدالة، + +908 +01:20:12,590 --> 01:20:17,710 +حيث يجد أيضًا ميكروفاج ودنتراتكسيل في الميدالة. + +909 +01:20:21,140 --> 01:20:24,680 +وهذا هو الـ thymus موجود زي ما أنتم شايفين يتكامل + +910 +01:20:24,680 --> 01:20:30,700 +جزئين جزء كورتكس وجزء مضلة تيجي الـ endothelial T + +911 +01:20:30,700 --> 01:20:34,940 +cell في مرحلة وقتها بتخش على الـ .. على الـ cortex + +912 +01:20:34,940 --> 01:20:45,680 +في الـ cortex بتتم أمانة تدريبها ثم بـ .. وبتنزل على + +913 +01:20:45,680 --> 01:20:52,420 +المضالع either CD4 أو CD8 وهناك بيكون فيه هي + +914 +01:20:52,420 --> 01:20:58,720 +موجودة والـ macrophage موجود والـ dendritic cell + +915 +01:20:58,720 --> 01:21:06,760 +موجودين وبالتالي ممكنية تنشيطها + +916 +01:21:06,760 --> 01:21:16,520 +بتملكنها تظهر على الـ peripheral blood إذا ما تشورت هذا هو + +917 +01:21:16,520 --> 01:21:19,900 +خطأ الـ maturation of lymphocytes هي common + +918 +01:21:19,900 --> 01:21:25,000 +lymphoid precursor بيدينا إما B وإما T الـ B في + +919 +01:21:25,000 --> 01:21:29,700 +الـ bone marrow هو بالضبط وسمّوها maturation وبعدها تظهر + +920 +01:21:29,700 --> 01:21:36,260 +كـ immature B على الـ peripheral blood ويوم ما تواجه + +921 +01:21:36,260 --> 01:21:41,280 +الـ antigen مثلها proliferation وبتاخد طبعا + +922 +01:21:41,280 --> 01:21:43,700 +الـ antigen بتواجهه في الـ secondary lymphoid organs + +923 +01:21:43,700 --> 01:21:49,400 +تتحول إلى plasma cell بتكون من الـ antibody الـ T + +924 +01:21:49,400 --> 01:21:53,580 +بتهجر في مرحلة مبكرة على الـ Thymus ومن هناك + +925 +01:21:53,580 --> 01:21:58,160 +بتنضج إلى mature naïve T lymphocytes بتروح الـ + +926 +01:21:58,160 --> 01:22:01,060 +preference circulation والـ preference circulation + +927 +01:22:01,060 --> 01:22:04,680 +بتروح الـ secondary lymphoid organs وبتصير عملية + +928 +01:22:04,680 --> 01:22:07,460 +اللي هو recirculation بلاش ما تلاقي الالتجين + +929 +01:22:07,460 --> 01:22:15,440 +تاخده وبتهاجمه في الـ secondary lymphoid organs في + +930 +01:22:15,440 --> 01:22:17,060 +الـ embryonic life الـ bone marrow + +931 +01:22:20,210 --> 01:22:26,950 +بتطلع لنا B cell which differentiate بدري اللي بيكون + +932 +01:22:26,950 --> 01:22:29,110 +مسؤول عن الـ differentiation تبعها الـ fetal liver + +933 +01:22:29,110 --> 01:22:32,970 +و after birth الـ bone marrow هو اللي بيشتغل والـ + +934 +01:22:32,970 --> 01:22:36,530 +fetal liver بيجف الـ B cell mature in الـ bone + +935 +01:22:36,530 --> 01:22:41,830 +marrow وبتبدأ تحصل على الـ BCR اللي هو antigen + +936 +01:22:41,830 --> 01:22:47,430 +specific receptor ولأنه structural and specific + +937 +01:22:47,430 --> 01:22:54,820 +identical to antibodyبشكل أساسي ومميزته تبعته تكون + +938 +01:22:54,820 --> 01:22:59,880 +مميزة للـ antibody اللي بده يتصنع بـ B-cell في + +939 +01:22:59,880 --> 01:23:05,640 +المستقبل. الـ B-cell ممتعين يتم تحميله بمشاركة + +940 +01:23:05,640 --> 01:23:08,640 +الدم للعضلات اللمفاوية الأعضاء اللمفاوية + +941 +01:23:08,640 --> 01:23:09,440 +الأعضاء اللمفاوية الأعضاء اللمفاوية + +942 +01:23:09,440 --> 01:23:09,940 +اللمفاوية اللمفاوية اللمفاوية اللمفاوية + +943 +01:23:09,940 --> 01:23:11,620 +اللمفاوية اللمفاوية اللمفاوية اللمفاوية + +944 +01:23:11,620 --> 01:23:14,180 +اللمفاوية اللمفاوية اللمفاوية اللمفاوية + +945 +01:23:14,180 --> 01:23:14,200 +اللمفاوية اللمفاوية اللمفاوية اللمفاوية + +946 +01:23:17,330 --> 01:23:21,470 +Trapping and Concentrating Secondary lymphoid + +947 +01:23:21,470 --> 01:23:26,090 +organs اللي هو two major function عملية نصية لفرن + +948 +01:23:26,090 --> 01:23:30,910 +substance نبرتنين هو المكان اللي بينتج فيه + +949 +01:23:30,910 --> 01:23:36,530 +antibody وبيتم فيه induction of antigen specific + +950 +01:23:36,530 --> 01:23:41,670 +T lymphocytes هو + +951 +01:23:41,670 --> 01:23:45,970 +دي secondary lymphoid organs ده هو الـ + +952 +01:23:50,890 --> 01:23:54,190 +والـ white والـ red مسؤول عن الـ pulp المسؤول عن + +953 +01:23:54,190 --> 01:24:03,630 +الـ RBC's طبعا بيدخلوا الـ antigen من + +954 +01:24:03,630 --> 01:24:11,010 +خلال الدم هيدخل على اللي هو الـ white pulp والـ red + +955 +01:24:11,010 --> 01:24:13,870 +pulp الـ RBC's هناك بتتصفى في الـ red والـ white + +956 +01:24:13,870 --> 01:24:20,990 +BC's بتهاجم في الـ germinal center اللي موجود في + +957 +01:24:20,990 --> 01:24:27,530 +ليهش في الـ white pulp وهذا عبارة عن lymph nodes + +958 +01:24:27,530 --> 01:24:37,840 +ماشي هذا هي في efferent وفي afferent ماشي بيخش الـ + +959 +01:24:37,840 --> 01:24:40,980 +ليمف + +960 +01:24:40,980 --> 01:24:46,980 +من الـ afferent وبيطلع من الـ efferent وطبعا + +961 +01:24:46,980 --> 01:24:52,260 +زي ما أنتم شايفين في germinal centers فيها الـ B + +962 +01:24:52,260 --> 01:24:56,980 +والـ dendritic cell والـ macrophage والـ T lymphocyte + +963 +01:24:56,980 --> 01:25:01,520 +deep cortical area والـ paracortical region + +964 +01:25:01,520 --> 01:25:06,780 +contain T lymphocyte and dendritic cell يعني في الـ + +965 +01:25:06,780 --> 01:25:11,560 +cortex أو في الـ deep أو في الـ paracortex مولودة T + +966 +01:25:11,560 --> 01:25:16,560 +lymphocyte dendritic cell في + +967 +01:25:16,560 --> 01:25:22,240 +المدلة بيحتوي على antibody-secreting plasma cell + +968 +01:25:22,240 --> 01:25:27,840 +اللي أصلا traveled from the cortex + +969 +01:25:31,440 --> 01:25:37,580 +خط سير lymphocyte circulation blood lymphocytes + +970 +01:25:37,580 --> 01:25:43,080 +post capillary venule lymph nodes efferent + +971 +01:25:43,080 --> 01:25:46,900 +lymphatic + +972 +01:25:46,900 --> 01:25:50,480 +vessels through a thoracic duct + +973 +01:26:00,280 --> 01:26:05,520 +من الـ .. + +974 +01:26:05,520 --> 01:26:09,440 +الأماكن التصنيعية سواء كان bone marrow أو thymus و + +975 +01:26:09,440 --> 01:26:15,030 +بتطلع على الـ secondary lymphoid organs والمثال هنا + +976 +01:26:15,030 --> 01:26:19,810 +على الـ lymph node هي post capillary venules ثم + +977 +01:26:19,810 --> 01:26:23,370 +lymph node ثم تخرج من الـ lymph node to the + +978 +01:26:23,370 --> 01:26:27,770 +efferent lymphatic vessels وتروح على thoracic cavity + +979 +01:26:27,770 --> 01:26:34,150 +ودكت ثم vena cava ثم heart وبتضل برضه تضخ مرة + +980 +01:26:34,150 --> 01:26:36,470 +ثانية في blood circulation + +981 +01:26:40,870 --> 01:26:44,470 +الـ antigen دخل الـ antigen للـ secondary lymphoid أما عن طريق + +982 +01:26:44,470 --> 01:26:44,890 +blood + +983 +01:26:47,620 --> 01:26:51,120 +وروح على الـ heart والـ vena cava blood circulation + +984 +01:26:51,120 --> 01:26:55,840 +اللي بياخده أما بياخده على الـ spleen ماشي وفي + +985 +01:26:55,840 --> 01:27:00,320 +الـ spleen ماشي اللي فيه antibody reproduction و + +986 +01:27:00,320 --> 01:27:07,160 +بتطلع على blood circulation وأما بتطلع from + +987 +01:27:07,160 --> 01:27:13,500 +different lymphatics وبالتالي بتلف مرة ثانية into + +988 +01:27:13,500 --> 01:27:18,290 +circulationالجهة دي أول طريقة عن طريق الدم تروح + +989 +01:27:18,290 --> 01:27:21,950 +على الـ spleen عن طريق الـ tissue إيه dermal أو + +990 +01:27:21,950 --> 01:27:27,410 +dermal أو subcutaneous بيخش طبعا هي محلاها دغري الـ + +991 +01:27:27,410 --> 01:27:31,870 +afferent lymphatic بتولاها بياخدها على الـ lymph + +992 +01:27:31,870 --> 01:27:36,230 +nodes وهي بتطلع من الـ efferents وهناك مرة ثانية + +993 +01:27:36,230 --> 01:27:40,030 +على T circulation أو بتنشط الـ T cell بتنشط B + +994 +01:27:40,030 --> 01:27:46,560 +cell وبتطلع لنا اللي هو الـ B lymphocyte أو الطريقة + +995 +01:27:46,560 --> 01:27:50,500 +الثالثة هي تنسل الـ Peyer's patches التي مباشرة + +996 +01:27:50,500 --> 01:27:56,200 +تذهب إلى الـ afferent lymphatic وتظهر مباشرة وهناك + +997 +01:27:56,200 --> 01:28:02,060 +ممكن تصبح T cell و antibody و B cell activation + +998 +01:28:04,570 --> 01:28:07,350 +Traffic of lymphocytes between lymphoid and non + +999 +01:28:07,350 --> 01:28:11,950 +-lymphoid tissues يتأكد من أنه على exposure لـ antigen + +1000 +01:28:11,950 --> 01:28:16,370 +الـ antigen والـ lymphocytes المحددة لهذا الـ antigen هم مجلدين + +1001 +01:28:16,370 --> 01:28:22,310 +في الـantigen 100% موجود حسب خط سيرة اللتي حكيناها + +1002 +01:28:22,310 --> 01:28:26,130 +الـantigen والـantigen الاتنين لازم يحشروا في مكان + +1003 +01:28:26,130 --> 01:28:34,200 +واحد ويوم ما يصير فيه التقاء ما بين الـantigen والسوف + +1004 +01:28:34,200 --> 01:28:40,380 +تتحرك و تتحرك و تتحرك و + +1005 +01:28:40,380 --> 01:28:53,390 +تتحرك و تتحرك و تتحرك و تتحرك و تتحرك و تتحرك Where + +1006 +01:28:53,390 --> 01:28:57,250 +antigen persist يعني يوم يدخل الـantigen مرة تانية + +1007 +01:28:57,250 --> 01:29:02,330 +تتركز في مكان ولود الـantigen and الذات بنيز exert + +1008 +01:29:02,330 --> 01:29:07,050 +their protective function وطبعا هناك بتشتغل كخلية + +1009 +01:29:07,050 --> 01:29:11,790 +مناقية شو دور الـantigen ايه شو مصير الـantigen fate + +1010 +01:29:11,790 --> 01:29:16,470 +of الـantigen after penetration كان الـreticulum in + +1011 +01:29:16,470 --> 01:29:19,970 +the cellular system trap for الـantigen بيصير عملية + +1012 +01:29:19,970 --> 01:29:26,350 +صيد للـantigenفي الـreticulum of the thala system و + +1013 +01:29:26,350 --> 01:29:31,150 +هذا بيؤدي الى engulfment يعني degradation by + +1014 +01:29:31,150 --> 01:29:35,390 +phagocytosis and + +1015 +01:29:35,390 --> 01:29:38,250 +there is constant movement of lymphocyte استمرار + +1016 +01:29:38,250 --> 01:29:40,610 +في الـlymphocyte قاعدة بتتحرك تعمل homing + +1017 +01:29:46,010 --> 01:29:50,770 +ان يصلهم لـDeposition في مواقع حساسة و استراتيجية + +1018 +01:29:50,770 --> 01:29:56,230 +في الـlymphatic vessels الـsystem also provide + +1019 +01:29:56,230 --> 01:30:02,450 +لصائم و هي secondary lymphoid organs اللي فيها T و + +1020 +01:30:02,450 --> 01:30:07,610 +فيها B lymphocytes they can interact with within a + +1021 +01:30:07,610 --> 01:30:12,390 +very small area to initiate اللي هو اللي هي + +1022 +01:30:12,390 --> 01:30:16,980 +germinal center and immune responseالثلاثه طريقه + +1023 +01:30:16,980 --> 01:30:21,700 +ممكن تتبع من طريق الـantigen بعد انه ادخل في داخل + +1024 +01:30:21,700 --> 01:30:27,760 +الجسم تلاته اذا + +1025 +01:30:27,760 --> 01:30:32,900 +الـantigen دخل الجسم من خلال نشاط الدموهي تدخل إلى + +1026 +01:30:32,900 --> 01:30:36,480 +الـSpleen، يعني إذا دخل عن طريق bloodstream، يذهب + +1027 +01:30:36,480 --> 01:30:39,160 +إلى الـSpleen، وفي الـSpleen يوجد Antigen + +1028 +01:30:39,160 --> 01:30:42,060 +Presenting Cell متمثلة الـDendritic Cell + +1029 +01:30:42,060 --> 01:30:46,000 +ومونوسايدس وB-Lymphocytes، كلهم بيشتغلوا كAntigen + +1030 +01:30:46,000 --> 01:30:51,680 +Presenting Cell that activate Antigen-specific T + +1031 +01:30:51,680 --> 01:30:57,270 +-Lymphocytesوبالتالي بيبدأ تتنشط خلايا الـ B + +1032 +01:30:57,270 --> 01:31:00,130 +-lymphocyte وتكون انها antibody which can be + +1033 +01:31:00,130 --> 01:31:04,150 +released in the circulation.Lymphocyte then leave + +1034 +01:31:04,150 --> 01:31:08,630 +the spleen through efferent lymphatic to re-enter + +1035 +01:31:08,630 --> 01:31:11,310 +the circulation via the thoracic belt. بعد ذلك + +1036 +01:31:11,310 --> 01:31:15,470 +خلاص بتطلع و تروح تتدور على أنتجين تاني. + +1037 +01:31:21,120 --> 01:31:24,820 +الطريق التاني اللي بيخش الـantigen يتجمد في ديارمال + +1038 +01:31:24,820 --> 01:31:27,300 +أو ديارمال أو ديارمال أو ديارمال أو ديارمال أو + +1039 +01:31:27,300 --> 01:31:28,100 +ديارمال أو ديارمال أو ديارمال أو ديارمال أو + +1040 +01:31:28,100 --> 01:31:34,560 +ديارمال أو ديارمال + +1041 +01:31:34,560 --> 01:31:42,640 +أوThe epidermal اللي هو صب كيوتين يسلي بتتصدى ال + +1042 +01:31:42,640 --> 01:31:46,840 +antigen presenting cell بتتصدى للـantigen بتاخده و + +1043 +01:31:46,840 --> 01:31:50,040 +إما بتعمله فاجوة cytosis و بتجتله و إما بتاخده على + +1044 +01:31:50,040 --> 01:31:54,190 +الـsecondary lymphoid organعندما يكون الـantigen + +1045 +01:31:54,190 --> 01:31:56,810 +مخطط من خلال جسم الـantigen المواصل للسلطات مثل + +1046 +01:31:56,810 --> 01:32:01,850 +اليوم ماتسيدو تتاخد ويتم تحميله من خلال الاخران + +1047 +01:32:01,850 --> 01:32:09,570 +اللينفنود من خلال الاخران الليمفاتيكي وفي + +1048 +01:32:09,570 --> 01:32:14,070 +الليمفنود الـantigen والمونوسايد والسلطات + +1049 +01:32:14,070 --> 01:32:19,360 +الليمفاتيكيو الـT-cell و الـB-cell كلهم اتفاقوا + +1050 +01:32:19,360 --> 01:32:23,200 +لتنمية المعاركة يبقى هاي الـtwo routes الأولاني + +1051 +01:32:23,200 --> 01:32:26,140 +عن طريق الـspleen تخش على الدم و الدم أخده عن + +1052 +01:32:26,140 --> 01:32:29,320 +طريق الـspleen على الـspleen و هناك سرعت الإياش + +1053 +01:32:29,320 --> 01:32:34,920 +المعاركة التاني subcutaneously كفي antipresenting + +1054 +01:32:34,920 --> 01:32:38,560 +cell قاعدة تستنية تاخده تعمل ع الـdegradation و .. + +1055 +01:32:38,560 --> 01:32:41,640 +أو تاخده على الـsecondary lymphoid organs و هناك + +1056 +01:32:41,640 --> 01:32:43,480 +برضه تتم الإياش المعاركة + +1057 +01:32:45,830 --> 01:32:49,330 +الشيء المميز بالنسبة للـantigen هو أن الـantibodies + +1058 +01:32:49,330 --> 01:32:53,450 +اللي كانت تتسيطر على الريفنون تدخل تلك المدارس من + +1059 +01:32:53,450 --> 01:32:56,270 +خلال الـthrusting duct بعد ذلك تطلع 100% من خلال + +1060 +01:32:56,270 --> 01:33:00,610 +الـthrusting duct تدخل على الفيناكابا والهارد + +1061 +01:33:00,610 --> 01:33:04,410 +الـantigen يمكن أن يدخل الجاستر و الانتستينار أو + +1062 +01:33:04,410 --> 01:33:10,190 +الاسبيراطري ترامي وهنا بيصير الواجهة في الجسد + +1063 +01:33:10,190 --> 01:33:13,110 +النيوكوزال المرتبط بالتشوية الريفنون + +1064 +01:33:22,460 --> 01:33:29,700 +انتباطيات موجودة في الـantigen اللوكال والـantigen + +1065 +01:33:29,700 --> 01:33:35,040 +اللوكال تدخل عن طريق الاخران اللينفاتيك التنين + +1066 +01:33:35,710 --> 01:33:39,010 +بيروحوا على الـthoracic duct to the circulation + +1067 +01:33:39,010 --> 01:33:42,330 +and redistributed to various tissues وبتوزعوا على + +1068 +01:33:42,330 --> 01:33:46,750 +كل أنحاء الجسم يعني بعد ما يتولد الـantibody و ال + +1069 +01:33:46,750 --> 01:33:50,550 +lymphocytes فيه تتنشط في الـsecondary lymphoid + +1070 +01:33:50,550 --> 01:33:54,770 +organs تطلع من خلال different lymphatic venules + +1071 +01:33:54,770 --> 01:33:59,470 +على الـthoracic duct و من الـthoracic duct على + +1072 +01:33:59,470 --> 01:34:02,550 +الـvena cava و الـheart و الـheart بوزح على كل + +1073 +01:34:02,550 --> 01:34:11,380 +أنحاء الجسممن خلال الـmap هذه عبارة عن اللي هو + +1074 +01:34:11,380 --> 01:34:17,020 +figure بيبين لي العلاقة المشتركة ما بين الـinnate + +1075 +01:34:17,020 --> 01:34:20,760 +و الـacquired immunity شايفين الـinnate من فوق ده + +1076 +01:34:20,760 --> 01:34:25,420 +هي تتكون من هاي الـinnate component الـphysical + +1077 +01:34:25,420 --> 01:34:29,040 +barrierالـcells و الـchemicals فده هي لإن ال + +1078 +01:34:29,040 --> 01:34:31,380 +physical barrier متمثلة بالـskin و الـmucous + +1079 +01:34:31,380 --> 01:34:35,600 +membrane الـcells متمثلة بالـpolymorphic nuclear و + +1080 +01:34:35,600 --> 01:34:38,480 +الـphagocystic cell بأنواعها الـchemical barrier + +1081 +01:34:38,480 --> 01:34:43,700 +زي بي اتشه level و الـenzyme مظبوط + +1082 +01:34:43,700 --> 01:34:44,880 +تحت + +1083 +01:34:47,260 --> 01:34:51,220 +الـAcquired Immunity متمثلة من الـAntigen + +1084 +01:34:51,220 --> 01:34:56,640 +Specific Receptors سلز زي الـB سل والـT سل واحدة + +1085 +01:34:56,640 --> 01:35:01,520 +بتفرز Lيه؟ الـB سل بتفرز Antibody والـT سل بتفرز + +1086 +01:35:01,520 --> 01:35:07,830 +Cytokine للاتنين ممكن ينشطوا للـAnkyselطبعا فوق + +1087 +01:35:07,830 --> 01:35:10,330 +زى ما انتوا شايفين كل الخلايا دى ممكن تفرش + +1088 +01:35:10,330 --> 01:35:14,010 +cytokine الـcytokine تنشط لـadaptive immunity + +1089 +01:35:14,010 --> 01:35:19,490 +اللى ايضا ممكن تطلع لنا antibody او cytokine نشطه + +1090 +01:35:19,490 --> 01:35:26,310 +للخلايا دى كلها سواء فجو سيدوسي أو انكسل active + +1091 +01:35:26,310 --> 01:35:31,870 +activation cell فبهيك + +1092 +01:35:31,870 --> 01:35:38,370 +بنكون ان شاء الله يعنى مرينابشكل سريع على الأدوات + +1093 +01:35:38,370 --> 01:35:43,750 +المنعية تبع الـinnate وتبع الـadaptive immune + +1094 +01:35:43,750 --> 01:35:50,090 +response نشكر لكم حسن الاستماع والسلام عليكم diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..88c8f90808f613c72b4d439afbfc5b1fefae92aa --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA_postprocess.srt @@ -0,0 +1,4376 @@ +1 +00:00:02,630 --> 00:00:08,970 +بسم الله الرحمن الرحيم اليوم + +2 +00:00:08,970 --> 00:00:12,030 +حضرتنا على elements of innate and acquired + +3 +00:00:12,030 --> 00:00:19,990 +immunity هنتكلم + +4 +00:00:19,990 --> 00:00:26,930 +ان شاء الله على الأدوات المناعية لل innate و ال + +5 +00:00:26,930 --> 00:00:31,230 +acquired immunity طبعا ال innate immunity + +6 +00:00:33,770 --> 00:00:38,410 +بتمثل الـ first line defense mechanism against + +7 +00:00:38,410 --> 00:00:42,910 +pathogen وفي منها cellular part وفي منها physical + +8 +00:00:42,910 --> 00:00:49,030 +part وفي منها soluble secretion part طبعا هدولة + +9 +00:00:49,030 --> 00:00:54,570 +موجودين since birth وغالبا بكونوا اما موجودين in + +10 +00:00:54,570 --> 00:00:58,150 +their fully functional states or they are rapidly + +11 +00:00:58,150 --> 00:01:03,580 +activated once antigen is enteredالـ figure اللي + +12 +00:01:03,580 --> 00:01:08,520 +قدامنا بيبين لنا الخلايا اللي بتدخل في ال innate + +13 +00:01:08,520 --> 00:01:12,820 +immunity و ال adaptive immunity و طبعا نظرة سريعة + +14 +00:01:12,820 --> 00:01:20,760 +تبين لنا أنه كل ال myeloid series or cells are + +15 +00:01:20,760 --> 00:01:26,660 +involved in innate immunity بينما ال lymphoid اللي + +16 +00:01:26,660 --> 00:01:31,560 +هي متمثلة بال B و ال D lymphocytesهي عبارة عن + +17 +00:01:31,560 --> 00:01:37,960 +خلايا involved in adaptive immunity و بدناش ننسى + +18 +00:01:37,960 --> 00:01:42,320 +ان ال two circles are overlapped بمعنى انه في + +19 +00:01:42,320 --> 00:01:46,760 +collaboration between innate and adaptive immunity + +20 +00:01:46,760 --> 00:01:53,270 +في بعض الخلايا بتشتغل هان و بتشتغل هانالفجر التاني + +21 +00:01:53,270 --> 00:01:58,390 +هذا بيبين ان ال kinetics of both innate and + +22 +00:01:58,390 --> 00:02:02,810 +adaptive immunity واضح جدا ان ال innate immunity + +23 +00:02:02,810 --> 00:02:06,270 +is faster than the adaptive immunity + +24 +00:02:09,360 --> 00:02:14,380 +be activated بينما ال adaptive immunity takes days + +25 +00:02:14,380 --> 00:02:20,500 +وصل ل seven days as incubation period لغاية ما ال + +26 +00:02:20,500 --> 00:02:23,660 +B lymphocyte و ال T lymphocyte تتنشط و تدينا + +27 +00:02:23,660 --> 00:02:29,740 +either antibody or effector cell نبدأ بال innate + +28 +00:02:29,740 --> 00:02:34,360 +immunity و نشوف ايش اللي + +29 +00:02:41,030 --> 00:02:45,070 +الأدواتها طبعا some component of mammalian innate + +30 +00:02:45,070 --> 00:02:49,730 +immune system are remarkably similar to component + +31 +00:02:49,730 --> 00:02:52,470 +in the plant ده بيقدمها سريع بيقول ان innate + +32 +00:02:52,470 --> 00:02:55,230 +immunity اللي موجودة في الإنسان هي نفسها اللي + +33 +00:02:55,230 --> 00:02:59,010 +موجودة في الاش في ال plant و ال animal وجدوها بهذا + +34 +00:02:59,010 --> 00:03:02,650 +الموضوع و هذا دليل على انه ال .. ال .. + +35 +00:03:07,590 --> 00:03:14,930 +يعني منذ القدم موجودة في كل الكائنات الحالية for + +36 +00:03:14,930 --> 00:03:17,650 +example peptides that are toxic to bacteria and + +37 +00:03:17,650 --> 00:03:25,130 +fungi بيسموها defensin they are found as them they + +38 +00:03:25,130 --> 00:03:30,010 +are found in plants and mammalsويلهم نفس ال + +39 +00:03:30,010 --> 00:03:33,450 +structure terrestrial structure in both life forms + +40 +00:03:33,450 --> 00:03:40,590 +يعني سواء كانت في ال plant ولا كانت في المملس ال + +41 +00:03:40,590 --> 00:03:43,550 +innate immunity جاله بتلعب دور كبير في تلات مواقع + +42 +00:03:43,550 --> 00:03:51,510 +أساسية it's initial initially respond to my group + +43 +00:03:54,760 --> 00:04:02,280 +or even eliminate infection of the body وده متمثل + +44 +00:04:02,280 --> 00:04:07,120 +بالغالب بال physical لكن in infectionلأن الـ + +45 +00:04:07,120 --> 00:04:10,760 +Immunity Devices يبقى تحت المراقبة تحت المراقبة + +46 +00:04:10,760 --> 00:04:13,540 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +47 +00:04:13,540 --> 00:04:16,380 +المراقبة تحت المراقبة تحت المراقبة تحت المراقبة + +48 +00:04:16,380 --> 00:04:20,040 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +49 +00:04:20,040 --> 00:04:21,400 +المراقبة تحت المراقبة تحت المراقبة تحت المراقبة + +50 +00:04:21,400 --> 00:04:30,520 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +51 +00:04:30,520 --> 00:04:31,580 +المراقبة + +52 +00:04:39,420 --> 00:04:46,860 +الحالة التانية ان الانيت اميون ميكانزم غالبا ايضا + +53 +00:04:46,860 --> 00:04:49,360 +recognize damaged and dead cell + +54 +00:04:56,040 --> 00:05:02,620 +Tissue Repair System بوقع التالت اللي بتشتغل فيه + +55 +00:05:02,620 --> 00:05:06,020 +ال innate immunity انه it can stimulate adaptive + +56 +00:05:06,020 --> 00:05:09,300 +immunity and influence the nature of adaptive + +57 +00:05:09,300 --> 00:05:15,340 +immune response كمان بتحدد اللي هو ال response تبع + +58 +00:05:15,340 --> 00:05:19,820 +ال adaptive immune system اللي موجود + +59 +00:05:29,590 --> 00:05:33,410 +الـ innate immunity two major types of innate + +60 +00:05:33,410 --> 00:05:38,570 +immunity are presence المحصلة إما inflammation + +61 +00:05:38,570 --> 00:05:44,530 +يعني it can cause inflammatory reaction or the + +62 +00:05:44,530 --> 00:05:48,350 +final effect هو antiviral + +63 +00:05:50,690 --> 00:05:56,530 +محصلتها انفلاميشن يا اما محصلتها كانتفيرال في + +64 +00:05:56,530 --> 00:06:01,090 +الانفلاميشن + +65 +00:06:01,090 --> 00:06:06,390 +الانفلاميشن is a complex process غالبا initiated + +66 +00:06:06,390 --> 00:06:11,590 +by damaged tissue سببه endogenous factors على سبيل + +67 +00:06:11,590 --> 00:06:17,840 +المثال tissue necrosis or bone fractureالصينة + +68 +00:06:17,840 --> 00:06:21,740 +تحتوي على اتصال اتصال اتصال اتصال اتصال اتصال + +69 +00:06:21,740 --> 00:06:34,420 +اتصال اتصال اتصال اتصال اتصال اتصال + +70 +00:06:34,420 --> 00:06:42,460 +اتصال اتصال + +71 +00:06:46,130 --> 00:06:50,550 +الـ kynin effect و الآن هنتطرخ للـ kynin effect بس + +72 +00:06:50,550 --> 00:06:55,350 +من مظاهره انه بيصير فيه increase لل vascular + +73 +00:06:55,350 --> 00:06:58,530 +permeability و هذا بيقدر ال swelling وبالتالي + +74 +00:06:58,530 --> 00:07:02,410 +بيصير في عندنا pain sign of inflammation pain + +75 +00:07:02,410 --> 00:07:09,740 +redness heat swallowing andفي وظيفة خامسة ممكن + +76 +00:07:09,740 --> 00:07:14,600 +تتطرق لها هي loss of function بس مشروطة if persist + +77 +00:07:14,600 --> 00:07:18,720 +إذا استمرت ال infection بيصير في loss of function + +78 +00:07:18,720 --> 00:07:25,480 +الحاجة التانية أنه في acute phase protein ممكن + +79 +00:07:25,480 --> 00:07:31,860 +تنتج وينتج عنها activation of kinase or complement + +80 +00:07:31,860 --> 00:07:35,140 +system and a coagulation system + +81 +00:07:37,770 --> 00:07:44,590 +هذه صورة لإنفلاماتوري رياكشن ودور كل منها كما + +82 +00:07:44,590 --> 00:07:49,610 +تشاهدون هذه عبارة عن blood vessels lining with + +83 +00:07:49,610 --> 00:07:54,570 +endothelial cells اللي هي وظيفة مهمة جدا لـ + +84 +00:07:54,570 --> 00:07:57,070 +endothelial cell هي عبارة عن source of nitric acid + +85 +00:07:57,070 --> 00:08:02,590 +نيترك أكسيد و cytokine + +86 +00:08:04,410 --> 00:08:08,290 +وهي ال polymorphic nuclear cell اللي هتعمل + +87 +00:08:08,290 --> 00:08:13,270 +crowding في ال blood vessels وفي أيضا plasma + +88 +00:08:13,270 --> 00:08:18,110 +protein طبعا نيوتروفيل نعرف دورها ك phagocytic + +89 +00:08:18,110 --> 00:08:21,850 +cell بتعمل عملية phagocytosis ل micro or dead + +90 +00:08:21,850 --> 00:08:25,610 +tissue في plasma protein و ال plasma protein + +91 +00:08:25,610 --> 00:08:28,890 +نشهرها ال complement و ال coagulation factors طبعا + +92 +00:08:28,890 --> 00:08:33,040 +ال complementوظيفتها to eliminate the antigen و ال + +93 +00:08:33,040 --> 00:08:39,860 +coagulation factor بيعمل اللي هو أيضا + +94 +00:08:39,860 --> 00:08:45,560 +sealing وبالتالي ممنع دخول ال antigen lymphocytes + +95 +00:08:45,560 --> 00:08:51,410 +اعرف انه ال lymphocytes بتعمل immune responseوالـ + +96 +00:08:51,410 --> 00:08:54,830 +monocytes أساسها ميكروفيج اللى ممكن يعمل + +97 +00:08:54,830 --> 00:08:58,430 +phagocytosis وفي نفس الوقت تشتغل في تقدم ال + +98 +00:08:58,430 --> 00:09:04,310 +antigen لل ash لل T lymphocyte طبعا ال muscle أيضا + +99 +00:09:04,310 --> 00:09:10,090 +تفرز inflammatory mediators فوق 24 different types + +100 +00:09:10,090 --> 00:09:15,740 +بأشارها ال histamineكل التقشعه دى اللى بتصير فى ال + +101 +00:09:15,740 --> 00:09:19,400 +blood vessels due to inflammatory reaction ممكن + +102 +00:09:19,400 --> 00:09:22,960 +تنشط من خلال ال coagulation cascade ميكانزم ال + +103 +00:09:22,960 --> 00:09:26,500 +platelet ال .. ال .. ال coagulation cascade يعمل + +104 +00:09:26,500 --> 00:09:30,900 +clot formation ال complement activation يعمل + +105 +00:09:30,900 --> 00:09:35,180 +elimination لل .. لل antigen ال lymphocyte can be + +106 +00:09:35,180 --> 00:09:40,240 +activated و ممكن تعمل immune response يعنى ممكن زى + +107 +00:09:40,240 --> 00:09:40,740 +ما قلنا + +108 +00:09:45,170 --> 00:09:47,830 +وقولنا الـ innate immunity can control the + +109 +00:09:47,830 --> 00:09:51,850 +adaptive immunity من خلال تنشيطها طبعا تنشيطها + +110 +00:09:51,850 --> 00:09:59,410 +بتتم من خلال إفراز certain cytotype كاينين + +111 +00:09:59,410 --> 00:10:02,650 +effect زي ما اتفقنا هو عبارة عن + +112 +00:10:14,740 --> 00:10:18,600 +في مجلود ايضا ال infection او ال inflammation في + +113 +00:10:18,600 --> 00:10:21,980 +حالة ال inflammation بيبدأ يتصنع ال body kinin و + +114 +00:10:21,980 --> 00:10:25,420 +ال body kinin هو عبارة عن ال structure can cause + +115 +00:10:25,420 --> 00:10:29,180 +muscle contraction and stimulate nerve causing + +116 +00:10:29,180 --> 00:10:33,960 +pain فبيصير في muscle contraction و بالتالي بيضغط + +117 +00:10:33,960 --> 00:10:37,790 +على ال nerve و بيعمل painأد انكريز فاسكولار + +118 +00:10:37,790 --> 00:10:42,350 +permeability لأنه لما يحدث فيه عملية شد للخلايا + +119 +00:10:42,350 --> 00:10:46,010 +بتتبعد على الواعدة أو يحدث زيادة في ال + +120 +00:10:46,010 --> 00:10:50,990 +permeability فهذا بيؤدي إلى أيضا ال expression of + +121 +00:10:50,990 --> 00:10:55,130 +endothelial cell adhesion molecule الحاجة التانية + +122 +00:10:55,130 --> 00:10:58,950 +يقول إنها ال coagulation pathway formation of + +123 +00:10:58,950 --> 00:11:03,210 +physical barrier بتكون physical barrier تمنع ال + +124 +00:11:03,210 --> 00:11:07,910 +micro organism من دخوله إلى الدمand systemic + +125 +00:11:07,910 --> 00:11:14,470 +inflammatory response محصلة induction of fever في + +126 +00:11:14,470 --> 00:11:20,990 +اليوكوسيتوسيز لأنه يصير في استدعاء لكل white blood + +127 +00:11:20,990 --> 00:11:24,430 +cell في منطقة الحدث increase synthesis of + +128 +00:11:24,430 --> 00:11:29,630 +hydrocortisol and ACTH نتيجة نشاط بعض الخلايا + +129 +00:11:33,340 --> 00:11:36,980 +وزي ما قلنا في release of certain cytokine وطبعا + +130 +00:11:36,980 --> 00:11:40,640 +أشهر ال cytokine آية الواحد و آية الستة تقول بإن + +131 +00:11:40,640 --> 00:11:44,900 +autotumor necrosis factor Alpha كلهم بيطلعوا من ال + +132 +00:11:44,900 --> 00:11:51,160 +mono size ومحصلة نشاطهم induction of adhesion, + +133 +00:11:51,860 --> 00:11:55,460 +coagulation and increased vascular permeability + +134 +00:11:56,510 --> 00:12:01,050 +يبدأ الـ IL-1 و IL-6 human necrosis factor Alpha + +135 +00:12:01,050 --> 00:12:06,090 +كلهم يخرجون من الـ monocytes و محصلة وجودهم + +136 +00:12:06,090 --> 00:12:10,670 +induction of adhesion, coagulation and increased + +137 +00:12:10,670 --> 00:12:15,810 +vascular permeability بالنسبة للـ IL-8 are + +138 +00:12:15,810 --> 00:12:22,910 +cytokine and interferon Gamma interferon بيزيد ال + +139 +00:12:22,910 --> 00:12:27,360 +chemotaxis and phagocytosisوهي collectively كلهم + +140 +00:12:27,360 --> 00:12:31,020 +مع بعض يدو إلى accumulation of fluid في منطقة + +141 +00:12:31,020 --> 00:12:38,060 +الحدث يعني بنجوسين إدما و leukocytic cell in the + +142 +00:12:38,060 --> 00:12:43,620 +injured area مليانة بإيه ال leukocytes تخيلوا طبعا + +143 +00:12:43,620 --> 00:12:46,760 +زي ما انتوا شايفين acute inflammation يكون في + +144 +00:12:46,760 --> 00:12:55,010 +aisle 6 aisle 8 ال GCSRوonce chronic inflammation + +145 +00:12:55,010 --> 00:12:58,950 +occurs تخيلوا الأعداد الرهيبة من ال cytokine اللي + +146 +00:12:58,950 --> 00:13:02,910 +can be released ودي محصلتها تنشيط عدد كبير من + +147 +00:13:02,910 --> 00:13:06,490 +الخلايا وزي ما قلتلكوا inflammation محصلته في + +148 +00:13:06,490 --> 00:13:09,370 +النهاية في ال chronic inflammation بيصير في loss + +149 +00:13:09,370 --> 00:13:15,910 +of function لل organ involved ال cytokine اللي في + +150 +00:13:15,910 --> 00:13:18,350 +ال innate immunity زي ما انتوا شايفينها دي قائمة + +151 +00:13:18,350 --> 00:13:22,380 +طويلة عريضة لل cytokine which are releasedفي الـ + +152 +00:13:22,380 --> 00:13:26,060 +innate immunity فهي tumor necrosis factor بيطلع من + +153 +00:13:26,060 --> 00:13:33,020 +ال macrophage و ال T cell و بيعمل activation لل + +154 +00:13:33,020 --> 00:13:37,520 +endothelial cell and coagulation cascade mechanism + +155 +00:13:37,520 --> 00:13:42,420 +و طبعا بنشط ال metrophil و ال hypothalamus بيطلعنا + +156 +00:13:42,420 --> 00:13:49,760 +فيبر و هكذا Interleukin 1 بيطلع من ال macrophage + +157 +00:13:50,770 --> 00:13:56,690 +والـ endothelial cell يسمى Epithelial و أيضا + +158 +00:13:56,690 --> 00:14:01,530 +كيماكروسيس فاكتور كيموكاينه بيطلع من ال macro + +159 +00:14:01,530 --> 00:14:04,370 +phage و ال endothelial cell بتيسل فيبرو بلاست + +160 +00:14:04,370 --> 00:14:13,110 +بليتلت و هو طبعا بنشط ال leukocytes و بالذات + +161 +00:14:13,110 --> 00:14:17,590 +الفلوسايتف مثلا كيمو تاكسز مثلا activation مثلا + +162 +00:14:17,590 --> 00:14:22,690 +migration to the tissueInterleukin-12 بيطلع من + +163 +00:14:22,690 --> 00:14:25,370 +ماكروفيجي ودنتر تكسيل ونفس الشيء دي اللي بقى one + +164 +00:14:25,370 --> 00:14:29,350 +type one interferon alpha و beta بيطلع من + +165 +00:14:29,350 --> 00:14:33,010 +ماكروفيجي وfibroblast وfibroblast non specific + +166 +00:14:33,010 --> 00:14:38,370 +فجوز تكسيل انما ال ماكروفيجي طلع الحياة دور كبير ك + +167 +00:14:38,370 --> 00:14:43,730 +antiviralطلوكن عشرة homodiamer بيطلع من ال macro + +168 +00:14:43,730 --> 00:14:48,290 +phase و ال T cell انطلوكن ستان بيطلع من ال macro + +169 +00:14:48,290 --> 00:14:50,950 +phase و ال endothelial cell و بيعمل acute phase + +170 +00:14:50,950 --> 00:14:55,470 +protein طلوكن خمستاشر macro phase and others و هي + +171 +00:14:55,470 --> 00:15:01,640 +من أشهر تلنا ال NK cellانت لوك 18 بطلع من ال macro + +172 +00:15:01,640 --> 00:15:09,780 +phase و بنشط عن K cell و T cell 23 من macro phase + +173 +00:15:09,780 --> 00:15:15,010 +و dendritic cell T cellactivation بالذات IL-17 + +174 +00:15:15,010 --> 00:15:20,670 +producing T cell 27 طبعا بيطلع من micro facial + +175 +00:15:20,670 --> 00:15:24,830 +dendritic cell و بتتنشر T helper واحد بسلقه + +176 +00:15:24,830 --> 00:15:29,410 +differentiation و بيصير في inhibition ل T helper + +177 +00:15:29,410 --> 00:15:37,510 +one و activation ل T helper two و هكذا شو + +178 +00:15:37,510 --> 00:15:46,210 +اللي بيصيرلما بيدخل ميكروب وماهي القالية للتخلص + +179 +00:15:46,210 --> 00:15:49,830 +منه هو زى ما انتوا شايفين في عندنا خلايا منعية + +180 +00:15:49,830 --> 00:15:53,950 +داخلة في ال innate immunity على سطح ال receptor و + +181 +00:15:53,950 --> 00:15:56,890 +اشهر ال receptor اللى موجودة زى ال mannose like + +182 +00:15:56,890 --> 00:16:00,810 +receptor, scavenger receptor, antigen receptor + +183 +00:16:00,810 --> 00:16:03,190 +طبعا برتبته بال antigen + +184 +00:16:06,270 --> 00:16:13,350 +بيخلصونا منه طبعا عملية التخلص ببساطة بيصير فيه + +185 +00:16:13,350 --> 00:16:20,770 +invagination سواء كان by receptor mediated او by + +186 +00:16:20,770 --> 00:16:26,950 +pseudobot و هي بيبدأ يتكون الفاجوزوم تخش جوا ال + +187 +00:16:26,950 --> 00:16:35,560 +microbesفي داخل فاجو زوم و هي الفاجو زوم فيه + +188 +00:16:35,560 --> 00:16:41,300 +بيرتبط او الفاجو + +189 +00:16:41,300 --> 00:16:51,040 +زوم بيرتطم بالعيزو زوم و بيكونوا one فاجو + +190 +00:16:51,040 --> 00:16:58,120 +زوم بيسموه فاجو العيزو زومو طبعا هنا ببدأ اداش ال + +191 +00:16:58,120 --> 00:17:03,400 +killing للميكروب من خلال اللي هو different + +192 +00:17:03,400 --> 00:17:10,460 +mechanism و بيصير في عمل طبعا من خلال different + +193 +00:17:10,460 --> 00:17:16,620 +mechanism اما by formation of reactive oxygen + +194 +00:17:16,620 --> 00:17:21,240 +species او زي ما هو مكتوب هنا بين في ال mechanism + +195 +00:17:21,240 --> 00:17:27,700 +او by nitric oxideهي الجامعه الارجينين في وجود + +196 +00:17:27,700 --> 00:17:34,460 +انيساطيل سنتاتيز بتدينها اناترك اكسايد او بالتالي + +197 +00:17:34,460 --> 00:17:42,380 +بيقتل الميكروب بهذا الميكانسم اندو سايتوسيتز اندو + +198 +00:17:42,380 --> 00:17:48,420 +سايتوسيتز هي عملية انجيشن of مايكرو موليكيول موجود + +199 +00:17:48,420 --> 00:17:48,720 +برا + +200 +00:17:55,120 --> 00:17:58,580 +Invagination مثلما قلنا سابقاً فيه Invagination او + +201 +00:17:58,580 --> 00:18:03,640 +برسيبتور Mediated Endocytosis لما يمسك الانتجن + +202 +00:18:03,640 --> 00:18:08,240 +بالرسيبتور على صفحه الخضرية ويبدأ تتكون Endocytic + +203 +00:18:08,240 --> 00:18:15,480 +-physical ثم Endosome-Lysosome وفي النهاية يتكسر + +204 +00:18:15,480 --> 00:18:21,460 +الميكروب الفاغوسايتوسيز + +205 +00:18:21,460 --> 00:18:26,800 +هي عبارة عن type of endocytosisوهي برضه بيصير فيه + +206 +00:18:26,800 --> 00:18:29,300 +ingestion of invading particles بكتيريا او + +207 +00:18:29,300 --> 00:18:35,840 +phagocytic by phagocytic cell usually ال + +208 +00:18:35,840 --> 00:18:42,680 +phagocytosis enhanced or is aided by opsinin غالبا + +209 +00:18:42,680 --> 00:18:45,880 +ال opsinin يعني عبارة عن antibody or complement + +210 +00:18:45,880 --> 00:18:49,980 +component بيجي قاعد على سطح ال antigen و بتتعرف + +211 +00:18:49,980 --> 00:18:52,340 +عليه ال phagocytesالفجر + +212 +00:18:52,340 --> 00:19:07,280 +الفارغسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكس + +213 +00:19:09,270 --> 00:19:13,970 +هذه كا eating وهذه كا drinking او through receptor + +214 +00:19:13,970 --> 00:19:20,170 +mediated process اذا انتوا شايفين خطوات ال + +215 +00:19:20,170 --> 00:19:23,490 +endocytosis + +216 +00:19:23,490 --> 00:19:27,990 +اما through receptor + +217 +00:19:32,930 --> 00:19:39,090 +ماشي من خلال الجهتين طبعا زي ما انتوا شايفين + +218 +00:19:39,090 --> 00:19:46,210 +بيتكون في ال endocytosis early endosome ثم ال late + +219 +00:19:46,210 --> 00:19:53,350 +endosome و طبعا through invagination او pseudobond + +220 +00:19:53,350 --> 00:19:57,870 +بيتكون ال phagosome سواء كان endosome ولا + +221 +00:19:57,870 --> 00:20:03,460 +phagosomeبيرتطموا بال physical بتاعة ال isozone و + +222 +00:20:03,460 --> 00:20:11,360 +بيكونوا phagolizosome او endolizosome + +223 +00:20:11,360 --> 00:20:15,100 +عشان انهم يرتطمواهم طبعا هذا الكلام في النهاية + +224 +00:20:15,100 --> 00:20:22,020 +بيؤدي لتكسير الغليل ايضا اذا كان في internal dead + +225 +00:20:22,020 --> 00:20:29,360 +bodyماشي تتكرر ال cell يعمل حاجة بيسموها autophagy + +226 +00:20:29,360 --> 00:20:33,520 +و بيكوّن autophagosome اللي برضه بتخش عليه ال + +227 +00:20:33,520 --> 00:20:41,040 +lyosome و بتخلص ده منه أي + +228 +00:20:41,040 --> 00:20:44,780 +ال phagosome fuses with lyosome forming + +229 +00:20:44,780 --> 00:20:48,320 +phagolysome then digested of the particle + +230 +00:20:53,010 --> 00:20:58,850 +بتتم بطريقتين أساسيتين إما عن طريق ال oxygen + +231 +00:20:58,850 --> 00:21:03,150 +dependent وفي oxygen independent في ال oxygen + +232 +00:21:03,150 --> 00:21:06,610 +independent بيصير فيه respiratory pairs و بيستهلك + +233 +00:21:06,610 --> 00:21:12,110 +الخلية كميات كبيرة من ال oxygen و طبعا ال oxygen + +234 +00:21:12,110 --> 00:21:17,510 +في هذه الحالة في وجود certain nicotinic amide + +235 +00:21:21,920 --> 00:21:32,260 +انزين او ناد اتش و ناد بي اتش يتفاعل مع الأكسجين و + +236 +00:21:32,260 --> 00:21:35,860 +الهيدروجين و يتكوين الناد او الناد بي مع + +237 +00:21:35,860 --> 00:21:39,080 +الهيدروجين بيروكسايد و الهيدروجين بيروكسايد نعرف + +238 +00:21:39,080 --> 00:21:42,220 +ان هو برعن رياكتف أكسجين + +239 +00:21:56,800 --> 00:22:02,420 +مييلوبركسديز طبعا هذا بيسموه oxygen dependent + +240 +00:22:02,420 --> 00:22:06,700 +مييلوبركسديز dependent ال process ال hydrogen + +241 +00:22:06,700 --> 00:22:11,040 +peroxide في وجود الكلورايد والمييلوبركسديز بتكون + +242 +00:22:15,850 --> 00:22:22,730 +ماشي عبارة عن toxic substance ثم ال super oxide مع + +243 +00:22:22,730 --> 00:22:27,490 +ال hydrogen في وجود super hexanoxide اسمه تيزي + +244 +00:22:27,490 --> 00:22:31,890 +بيدينا hydrogen بال oxide و طبعا في ميكانزم تالت + +245 +00:22:31,890 --> 00:22:34,890 +اللي هو ال arginine اللي بيدينا nitric oxide و ال + +246 +00:22:34,890 --> 00:22:40,570 +nitric oxide بيقترط أداء تقتل برضه فظيعة من خلال + +247 +00:22:40,570 --> 00:22:43,830 +او في وجود nitric oxide acid synthetics + +248 +00:22:48,260 --> 00:22:48,940 +طبعاً هذه .. + +249 +00:23:08,380 --> 00:23:12,400 +الخلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +250 +00:23:12,400 --> 00:23:12,580 +عبارة عن خلية عبارة عن خلية عبارة عن خلية عبارة عن + +251 +00:23:12,580 --> 00:23:15,260 +خلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +252 +00:23:15,260 --> 00:23:23,380 +عبارة عن خلية عبارة عن خلية عبارة عن خلية عبارة عن + +253 +00:23:23,380 --> 00:23:34,660 +عبارة عن خلية عبارة عن خلية عبارة عن خلية + +254 +00:23:34,660 --> 00:23:41,470 +عبارةهذا يؤدي إلى تنشيط Transcriptional Factors أن + +255 +00:23:41,470 --> 00:23:49,910 +أفكارها بيه وهو طبعاً هذا يحول البرو IL-1 بيتا + +256 +00:23:49,910 --> 00:23:55,410 +gene transcription إلى ال active gene ويبدأ يتنشط + +257 +00:23:55,410 --> 00:23:56,610 +بكونها في النهاية + +258 +00:24:04,650 --> 00:24:09,770 +ميكانيزم آخر من خلال هذا هو الـ Antigen دخل مباشرة + +259 +00:24:09,770 --> 00:24:14,590 +إلى داخل الخلية و هنا ممكن يكون فيه receptor + +260 +00:24:16,070 --> 00:24:19,570 +Intracellularي وبالتالي زي ال node-like receptor + +261 +00:24:19,570 --> 00:24:23,590 +ده هي مسكت بال antigen و اتعرفت عليه مجرد + +262 +00:24:23,590 --> 00:24:29,170 +انطباعتها بينشط Casasease enzyme و ال Casasease + +263 +00:24:29,170 --> 00:24:33,950 +بتكون سلسلة من ال Casasease في النهاية بتنصر ال + +264 +00:24:33,950 --> 00:24:40,430 +Casasease number one اللي ايضا بينشطنا او بيكوننا + +265 +00:24:40,430 --> 00:24:45,580 +انطلاقا معاهاالحاجات التالتة وجود certain + +266 +00:24:45,580 --> 00:24:50,660 +endogenous crystals ممكن تنشط هذا ال ميكانيزم طبعا + +267 +00:24:50,660 --> 00:24:54,140 +في وجود الكائن ال potassium efflux و هذا ال + +268 +00:24:54,140 --> 00:24:58,040 +potassium efflux أنه ال potassium بطلع من جوا + +269 +00:24:58,040 --> 00:25:01,460 +الخلية لبرا الخلية و تبدأ هذه ال mechanism تتكون + +270 +00:25:01,460 --> 00:25:05,560 +فاللي بيصير هذه المواد بتحفظ هذا ال mechanism + +271 +00:25:05,560 --> 00:25:09,940 +intracellularي و في النهاية بيتكون Enflasome + +272 +00:25:12,930 --> 00:25:19,870 +انفلامازون انفلامازون هذا بيكون ناتج عن تنشيط ال + +273 +00:25:19,870 --> 00:25:26,210 +node-like receptor protein تلاتة و automatically + +274 +00:25:26,210 --> 00:25:30,950 +طبعا this will lead to probe IL-1 beta + +275 +00:25:35,840 --> 00:25:39,220 +المهم كلهم في النهاية بيصير فيه acute inflammatory + +276 +00:25:39,220 --> 00:25:43,280 +reaction ده once created بيصير فيه acute + +277 +00:25:43,280 --> 00:25:47,840 +inflammation ده عبارة عن ميكانيزم بيؤدي طبعا by + +278 +00:25:47,840 --> 00:25:51,820 +different way اما by extra cellular antigen او + +279 +00:25:51,820 --> 00:25:57,100 +intra cellular antigen دخل واتنشطت بعض العوامل + +280 +00:25:57,100 --> 00:26:02,300 +اللي في النهاية تتكون IL-1 + +281 +00:26:05,800 --> 00:26:10,520 +How innate immunity recognize microbe and damaged + +282 +00:26:10,520 --> 00:26:14,760 +cell طبعا specificity of innate immunity + +283 +00:26:14,760 --> 00:26:21,420 +recognition have evolved to combat microbe and are + +284 +00:26:21,420 --> 00:26:24,000 +different from specificity of adaptive immune + +285 +00:26:24,000 --> 00:26:27,840 +system طبيعي جدا ان ال specificity في specific + +286 +00:26:27,840 --> 00:26:31,580 +tool specific mode of action + +287 +00:26:34,580 --> 00:26:39,160 +الاختلاف كله عن specific mechanism اللي بتكون فيها + +288 +00:26:39,160 --> 00:26:42,120 +ال adaptive immunity و خلينا نشوف الفرق بين + +289 +00:26:42,120 --> 00:26:45,940 +التانين فهي specificity و immediate immunity أيه + +290 +00:26:45,940 --> 00:26:51,140 +هنا اللي في ال immediate immunity صار عملية التباط + +291 +00:26:51,140 --> 00:26:57,240 +بال microbe من خلال receptors موجودة على السطح + +292 +00:27:10,030 --> 00:27:21,610 +موضوع تاني موضوع + +293 +00:27:21,610 --> 00:27:26,110 +تاني بيكون فيه antibodyspecific for certain + +294 +00:27:26,110 --> 00:27:29,190 +antigen ويعني فإنها different antibody كل واحد + +295 +00:27:29,190 --> 00:27:34,030 +يبلغه مختلف بيرتبطه ب different microbe حسب ال + +296 +00:27:34,030 --> 00:27:37,250 +microbe لأن كل antibody is specific only for one + +297 +00:27:37,250 --> 00:27:41,090 +antigen فال specificity في ال adaptive immunity + +298 +00:27:41,090 --> 00:27:46,970 +محددة ب antibody بيرتبط ب specific antigen فيعني + +299 +00:27:46,970 --> 00:27:50,990 +different type of antibody for different types of + +300 +00:27:50,990 --> 00:27:56,890 +antigen نما هان هو عبارة عنده هو Receptors ماشي + +301 +00:27:56,890 --> 00:28:01,330 +واحد و هو ال man nose receptor موجود على خلايا + +302 +00:28:01,330 --> 00:28:05,570 +ارتبط في اكتر من micro يعني اكتر من بكتيريا لكن + +303 +00:28:05,570 --> 00:28:08,730 +بماذا يشترك و هدول البكتيريا انه على سطح ال man + +304 +00:28:08,730 --> 00:28:16,270 +nose binding لكتير ليش التاني ال receptor في + +305 +00:28:16,270 --> 00:28:19,570 +اختلاف في ال receptor اه طبعا في اختلاف ما بين ال + +306 +00:28:19,570 --> 00:28:25,270 +innate و ما بين ال adaptive في ال innate فييعني + +307 +00:28:25,270 --> 00:28:29,350 +limited type of receptor limited diversity of + +308 +00:28:29,350 --> 00:28:34,270 +receptor كلهم collectively are named by pattern + +309 +00:28:34,270 --> 00:28:37,390 +recognition receptor مش شو بيسموهم pattern + +310 +00:28:37,390 --> 00:28:41,370 +recognition receptor وطبعا زي ما انتوا شايفين كل + +311 +00:28:41,370 --> 00:28:45,730 +واحد منهم بيرتبط بينهم معين من إيش من ال micro أو + +312 +00:28:45,730 --> 00:28:49,690 +كلهم ممكن يرتبطوا بنفس ال micro وبالتالي ال + +313 +00:28:49,690 --> 00:28:53,850 +specificity مش مش كتير موجودة هنا فى Anatolite + +314 +00:28:53,850 --> 00:28:59,420 +receptorمثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +315 +00:28:59,420 --> 00:29:00,080 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +316 +00:29:00,080 --> 00:29:05,560 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +317 +00:29:05,560 --> 00:29:06,600 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +318 +00:29:06,600 --> 00:29:07,060 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +319 +00:29:07,060 --> 00:29:08,720 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +320 +00:29:08,720 --> 00:29:11,360 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +321 +00:29:11,360 --> 00:29:16,440 +أهمية مثلًا مجموعات أقل أكل خلية على سطحها + +322 +00:29:16,440 --> 00:29:23,760 +specific receptor which is specific only + +323 +00:29:23,760 --> 00:29:24,700 +for one antigen + +324 +00:29:28,080 --> 00:29:34,180 +تصنيع لـ Receptor خاص بكل خلية على عدة كيف + +325 +00:29:34,180 --> 00:29:38,220 +اتكوّنوا قالوا by somatic recombination of gene + +326 +00:29:38,220 --> 00:29:43,220 +segments جينات ارتبطت مع بعضها وعملت ليه different + +327 +00:29:43,220 --> 00:29:48,500 +types of ايش of receptors على سطح الخلية لكلهم + +328 +00:29:48,500 --> 00:29:51,500 +واحد من السلطات عشان هيكوا بيكونوا greater + +329 +00:29:51,500 --> 00:29:55,700 +diversity distribution of receptor + +330 +00:30:00,290 --> 00:30:05,830 +يعني أن جموع من الخلايا ممكن + +331 +00:30:05,830 --> 00:30:11,870 +تشترك ب one receptor identical receptor on all + +332 +00:30:11,870 --> 00:30:16,890 +cell of the same line طب في ال adaptive قالوا لأ + +333 +00:30:16,890 --> 00:30:22,750 +it's a clone of ال clone of lymphocyteswith + +334 +00:30:22,750 --> 00:30:27,450 +distinct specifics يعني express different + +335 +00:30:27,450 --> 00:30:31,650 +receptors يعني one type of clone على سبيل المثال + +336 +00:30:31,650 --> 00:30:37,570 +ال B lymphocyte كل خلية فيها يعني كل B lymphocyte + +337 +00:30:37,570 --> 00:30:42,360 +على سطح a receptor مختلف عن ال receptor التانياللي + +338 +00:30:42,360 --> 00:30:46,840 +موجودة على خلية بي لينفوسايت تانية انما هناك معظم + +339 +00:30:46,840 --> 00:30:53,140 +الخلايا تشترك بقاش ب ال receptors اللي موجودة + +340 +00:30:56,970 --> 00:31:00,630 +Type discrimination of self and non-self التنتين + +341 +00:31:00,630 --> 00:31:05,190 +بيشتركوا بهذه الصفة المفروض في الـ innate yes + +342 +00:31:05,190 --> 00:31:09,830 +healthy host cells are not recognized or they may + +343 +00:31:09,830 --> 00:31:13,410 +express molecule بين او و نفس الحكاية في الاش في + +344 +00:31:13,410 --> 00:31:16,950 +ال adaptive based on elimination طبعا بيصير عملية + +345 +00:31:16,950 --> 00:31:24,750 +تخلص من كل خلايا ناشطة self-reacted species في ال + +346 +00:31:24,750 --> 00:31:28,930 +primaryor in the orthopretium في ال secondary + +347 +00:31:28,930 --> 00:31:34,910 +recognition of microbe and damaged cell by innate + +348 +00:31:34,910 --> 00:31:38,910 +immunity يعني + +349 +00:31:38,910 --> 00:31:45,550 +ال innate immunity بتتعرف على + +350 +00:31:45,550 --> 00:31:53,510 +molecular structure موجودة على ال microbes خاصة مش + +351 +00:31:53,510 --> 00:31:58,470 +موجودة على ال mammalian cellفيه موليكيوز + +352 +00:31:58,470 --> 00:32:06,330 +موليكيولار موجودين على سطح الـ foreign body مش + +353 +00:32:06,330 --> 00:32:11,250 +موجودين في داخل الـ mammalian cell وبالتالي تتعرف + +354 +00:32:11,250 --> 00:32:15,430 +عليهم الـ innate بشكل أهم these microbial + +355 +00:32:15,430 --> 00:32:20,030 +substance بي stimulate the innate immunity بيسموها + +356 +00:32:20,030 --> 00:32:24,330 +ال PAMS PAMS هي اختصار pathogen associated + +357 +00:32:24,330 --> 00:32:25,470 +molecular pattern + +358 +00:32:28,220 --> 00:32:33,200 +وهناك ميكروفات مختلفة مثل الفيروس والبكتيريا + +359 +00:32:33,200 --> 00:32:39,680 +والفنجايل وهي تظهر بطاريات مختلفة وهذه + +360 +00:32:39,680 --> 00:32:44,040 +الطاريات مختلفة + +361 +00:32:44,040 --> 00:32:49,880 +في أسلوبها فممكن يكون double-stranded RNA مثل ما + +362 +00:32:49,880 --> 00:32:56,220 +موجود في الـreplicating viruses أو الـCBG دي أن + +363 +00:32:56,220 --> 00:33:03,930 +إيهزي ما هو موجود في البكتيريا or certain proteins + +364 +00:33:03,930 --> 00:33:09,370 +موجودة على certain microbe زي ال M + +365 +00:33:09,370 --> 00:33:14,890 +-formylmethionine and this is a typical bacterial + +366 +00:33:14,890 --> 00:33:19,870 +protein and this complex lipid and carbohydrate + +367 +00:33:19,870 --> 00:33:27,120 +that are synthesized by bacteria زي الالليبو + +368 +00:33:27,120 --> 00:33:32,620 +تيكويك أسد المنوذ ريش أوليبو ساكرايتز كلها عبارة + +369 +00:33:32,620 --> 00:33:36,920 +عن ايه؟ ايضا + +370 +00:33:36,920 --> 00:33:43,180 +ال innate immune system ايضا recognize microbial + +371 +00:33:43,180 --> 00:33:47,340 +product مش فقط microbial structure that are often + +372 +00:33:47,340 --> 00:33:51,140 +essential for survival of the microbe مهم جدا + +373 +00:33:51,140 --> 00:33:58,440 +وجودها for survival of theوهذه المولكولة + +374 +00:33:58,440 --> 00:34:08,060 +الاندوجنسية إما تتم إصلاحها أو إطلاقها من جسد ميت + +375 +00:34:08,060 --> 00:34:08,780 +مصاب + +376 +00:34:16,080 --> 00:34:21,880 +Immunity تتعرف على الـ PAMs اللي هي Pattern + +377 +00:34:21,880 --> 00:34:25,120 +Associated Molecular Pattern وهي عبارة عن + +378 +00:34:25,120 --> 00:34:29,700 +Molecular Structure على سطح الاش الميكروب وتتعرف + +379 +00:34:29,700 --> 00:34:33,640 +على ال Dams والدامس هي عبارة عن Damage Associated + +380 +00:34:33,640 --> 00:34:41,140 +Molecular Pattern طالعة من إما الميكروب أو جاية من + +381 +00:34:41,140 --> 00:34:46,930 +Dying Cellsو these damage are a result of cell + +382 +00:34:46,930 --> 00:34:54,070 +damage caused by infection or caused + +383 +00:34:54,070 --> 00:34:58,890 +by myriad يعني أسباب كثيرة زي chemical, toxin, + +384 +00:34:59,150 --> 00:35:10,010 +birth, trauma or even decreased blood supply ال + +385 +00:35:10,010 --> 00:35:14,870 +damage بنشوفهاش جاي من في حالات ال apoptosisلكن في + +386 +00:35:14,870 --> 00:35:19,170 +بعض المرات ال healthy cell بتفرز ال dams عشان تنشط + +387 +00:35:19,170 --> 00:35:30,330 +ال immune response عشان تنشط ال immune response ال + +388 +00:35:30,330 --> 00:35:36,770 +example of dams and bumpsكانوا ال pathogen + +389 +00:35:36,770 --> 00:35:40,850 +associated molecular pattern بامس أول فيها منها + +390 +00:35:40,850 --> 00:35:44,970 +nucleic acid في منها protein في منها cell wall + +391 +00:35:44,970 --> 00:35:48,130 +lipids في منها carbohydrate وزي ما انتوا شايفين + +392 +00:35:48,130 --> 00:35:53,670 +اما single strand RNA او double strand RNA او CBG + +393 +00:35:53,670 --> 00:35:58,270 +اي حالة nucleic acid اللي بنشوفها في ال virusesو + +394 +00:35:58,270 --> 00:36:03,550 +بعض البكتيريا CBG لبروتينات مثل ال بالن و ال + +395 +00:36:03,550 --> 00:36:06,810 +flagellum نشوفهم في البكتيريا مثل ال wall lipids + +396 +00:36:06,810 --> 00:36:10,550 +مثل ليبو بوليسا كريد و ليبوتيكويك أسد موجودة في + +397 +00:36:10,550 --> 00:36:14,570 +جرام نيجاتيب بكتيريا كربوهيديد مثل ال man nose و + +398 +00:36:14,570 --> 00:36:14,950 +ال man nose + +399 +00:36:22,320 --> 00:36:26,140 +ال بامس ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +400 +00:36:26,140 --> 00:36:27,000 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +401 +00:36:27,000 --> 00:36:29,100 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +402 +00:36:29,100 --> 00:36:29,120 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +403 +00:36:29,120 --> 00:36:29,140 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +404 +00:36:29,140 --> 00:36:29,980 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +405 +00:36:29,980 --> 00:36:30,220 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +406 +00:36:30,220 --> 00:36:32,400 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +407 +00:36:32,400 --> 00:36:36,100 +ال ال ال ال ال ال ال ال ال ال ال ال ال التشو + +408 +00:36:36,100 --> 00:36:36,500 +او + +409 +00:36:56,200 --> 00:37:03,020 +One برضه عبارة عن بروتينات تطلع من الخلايا المقصرة + +410 +00:37:03,020 --> 00:37:06,780 +ال + +411 +00:37:06,780 --> 00:37:11,740 +innate immune system use several types of cellular + +412 +00:37:11,740 --> 00:37:18,500 +receptor موجودة على سطحها and soluble molecule in + +413 +00:37:18,500 --> 00:37:21,520 +the blood amicosa secretion to recognize bumps and + +414 +00:37:21,520 --> 00:37:28,640 +damsهي أكتر من receptor بيتعرف على ال-pamps و ال + +415 +00:37:28,640 --> 00:37:34,540 +-damps ال pattern recognition receptor they + +416 +00:37:34,540 --> 00:37:38,460 +are expressed on the plasma membrane or endosomal + +417 +00:37:38,460 --> 00:37:42,360 +membrane of various cell type and also on the + +418 +00:37:42,360 --> 00:37:45,760 +cytoplasm of these cells يعني موجودين على سطح + +419 +00:37:45,760 --> 00:37:52,040 +الخلية أو في ال cytosol أو في ال endosome يعني شيء + +420 +00:37:52,040 --> 00:37:57,220 +membraneهدولة أنواع ال pattern recognition + +421 +00:37:57,220 --> 00:38:00,920 +receptor and this various location of the receptor + +422 +00:38:00,920 --> 00:38:04,040 +ensure that the innate immune system can respond + +423 +00:38:04,040 --> 00:38:07,880 +to microbe وينما كان. So one can outside the cell + +424 +00:38:07,880 --> 00:38:11,650 +or within different cellular compartment.مازال في + +425 +00:38:11,650 --> 00:38:14,870 +عندنا receptor في الـ innate immunity بتتعرف على + +426 +00:38:14,870 --> 00:38:20,610 +ال paps و ال daps سواء كانت extra cellular يعني من + +427 +00:38:20,610 --> 00:38:25,010 +برا في receptor على سطح الخلية جوا دخل ال antigen + +428 +00:38:25,010 --> 00:38:29,210 +جوا سواء كان في ال cytosol أو في ال endosome برضه + +429 +00:38:29,210 --> 00:38:36,950 +فيه receptor خاصة تتعرف على ال microbe شوفوا أنواع + +430 +00:38:37,240 --> 00:38:40,660 +الـ Pattern Recognition Receptor يبقى ال Pattern + +431 +00:38:40,660 --> 00:38:44,800 +Recognition Receptor تتعرف على ال BAMs و ال DAMs + +432 +00:38:44,800 --> 00:38:50,840 +بمواقع مختلفة شوفوا اللي هو ال Cell Associated + +433 +00:38:50,840 --> 00:38:55,680 +Pattern Recognition Receptor زي ال tone-like + +434 +00:38:55,680 --> 00:38:58,360 +receptor و ال node-like receptor و ال rate-like + +435 +00:38:58,360 --> 00:39:02,200 +receptor دي كلها عبارة عن إيش؟ عبارة عن receptor + +436 +00:39:02,620 --> 00:39:05,380 +أشي موجود على الcell membrane واشي موجود في ال + +437 +00:39:05,380 --> 00:39:11,420 +cytosol واشي موجود في ال endosome وفي other + +438 +00:39:11,420 --> 00:39:16,480 +receptor زي ال C-type lectin و ال scavenger و ال M + +439 +00:39:16,480 --> 00:39:20,720 +-formyl methionine-leucine phenotype receptor كلهم + +440 +00:39:20,720 --> 00:39:23,820 +دول عبارة عن receptor بتعرفوا على different + +441 +00:39:23,820 --> 00:39:24,420 +peptides + +442 +00:39:30,280 --> 00:39:36,820 +different molecule of the micro نوع + +443 +00:39:36,820 --> 00:39:40,520 +تاني من ال pattern recognition receptors فى حاجة + +444 +00:39:40,520 --> 00:39:43,740 +بيسموها soluble part soluble recognition molecule + +445 +00:39:43,740 --> 00:39:47,540 +يبقى فى الأول فى حاجة اسمها pattern recognition + +446 +00:39:47,540 --> 00:39:52,950 +receptors ماشي النوع الأولانىبيحتوي على ال tool + +447 +00:39:52,950 --> 00:39:55,590 +-like و ال node-like و ال rig-like و شوية + +448 +00:39:55,590 --> 00:40:03,430 +scavanger و ال soluble فيه منه pentraxine و مثال + +449 +00:40:03,430 --> 00:40:06,490 +عليه ال C-reactive protein موجود في البلازمه + +450 +00:40:06,490 --> 00:40:07,330 +collectin + +451 +00:40:09,840 --> 00:40:16,580 +أيضا موجود في البلازما ال alveoli و الفيكولين + +452 +00:40:16,580 --> 00:40:20,360 +موجود في البلازما و كما تشاهدون هؤلاء يتعرفون في + +453 +00:40:20,360 --> 00:40:24,100 +الرياكتب روتين بيتعرف على microbial + +454 +00:40:24,100 --> 00:40:27,160 +phosphorealcholine + +455 +00:40:27,160 --> 00:40:31,640 +and phosphatidylethanolamine + +456 +00:40:31,640 --> 00:40:34,860 +موليكيول لـ PAMS + +457 +00:40:39,050 --> 00:40:42,610 +الـ Manose binding lectin بتعرف على الـ Manose + +458 +00:40:42,610 --> 00:40:48,770 +اللى موجودة على ال micro و هكذا complement طبعا و + +459 +00:40:48,770 --> 00:40:52,790 +ال natural antibody أيضا من ايش من ال pattern + +460 +00:40:52,790 --> 00:40:56,310 +recognition molecule و ال complement موجودة في ال + +461 +00:40:56,310 --> 00:40:59,650 +plasma هي ال immunoglobulin و هي مثال عليها C3 + +462 +00:40:59,650 --> 00:41:03,710 +اللى بتتعرف على .. بتقعد على ال microbial surface + +463 +00:41:03,710 --> 00:41:06,350 +و ال IgM + +464 +00:41:16,080 --> 00:41:19,240 +وهكذا يبقى فيه مجموعة كبيرة من اللي هي pattern + +465 +00:41:19,240 --> 00:41:25,360 +recognition receptor هى ال cellular location of + +466 +00:41:25,360 --> 00:41:29,420 +pattern recognition molecule of the immunity زى ما + +467 +00:41:29,420 --> 00:41:33,100 +انتوا شايفين فيه extra cellular زى ال tool-like + +468 +00:41:33,100 --> 00:41:37,900 +receptor فيه cytosolic زى ال node-like receptor + +469 +00:41:37,900 --> 00:41:47,640 +وفيه endosome اندوزومة ماشي في منها tool-likeفي + +470 +00:41:47,640 --> 00:41:53,040 +منها طبعا تتعرف على ال virus DNA or RNA اندوزومال + +471 +00:41:53,040 --> 00:41:58,380 +ممبرين سيبقى سواء كانت الانتجن في أي مكان مكان + +472 +00:41:58,380 --> 00:42:03,680 +الخلية إما برا أو إما جوا تستطيع تتعرف عليه الخلية + +473 +00:42:03,680 --> 00:42:10,000 +و تتصدله نشوف بعض المعلومات قالوا ال receptor of a + +474 +00:42:10,000 --> 00:42:13,320 +innate immune system are encoded in gear line يعني + +475 +00:42:13,320 --> 00:42:20,110 +يخلق بتخليق الخليةبينما الـ Receptor of Adaptive + +476 +00:42:20,110 --> 00:42:34,670 +Immunity يتم تجريبه من خلال + +477 +00:42:34,670 --> 00:42:35,630 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +478 +00:42:35,630 --> 00:42:35,690 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +479 +00:42:35,690 --> 00:42:35,710 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +480 +00:42:35,710 --> 00:42:38,050 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +481 +00:42:38,050 --> 00:42:45,290 +تجارب تجارب + +482 +00:42:46,630 --> 00:42:52,670 +يبقى في ال germline في ال innate في germline gene + +483 +00:42:52,670 --> 00:43:00,890 +الجين هذه محدودة تبدي نجات اللي هو ال innate + +484 +00:43:00,890 --> 00:43:07,030 +immune receptor وبالتالي عددهم محدود بينما في ال + +485 +00:43:07,030 --> 00:43:11,130 +adaptiveفي عندنا مجموعة من الجينات اللي بيسألها + +486 +00:43:11,130 --> 00:43:16,850 +recombination مع بعض هذه مسئولة عن ال receptor تبع + +487 +00:43:16,850 --> 00:43:22,190 +اللي هو الخلايا وبالتالي بتصفط و في كل مرض سبيته + +488 +00:43:22,190 --> 00:43:27,210 +مختلفة و بدونها receptor مختلف as a result + +489 +00:43:29,410 --> 00:43:32,470 +التبريدوار الاصطناعي للإمينية الانتقالية + +490 +00:43:32,470 --> 00:43:38,050 +الانتقالية + +491 +00:43:38,050 --> 00:43:39,450 +الانتقالية الانتقالية الانتقالية الانتقالية + +492 +00:43:39,450 --> 00:43:44,150 +الانتقالية الانتقالية الانتقالية الانتقالية + +493 +00:43:44,150 --> 00:43:45,990 +الانتقالية الانتقالية الانتقالية الانتقالية + +494 +00:43:45,990 --> 00:43:46,470 +الانتقالية الانتقالية الانتقالية الانتقالية + +495 +00:43:46,470 --> 00:43:46,730 +الانتقالية الانتقالية الانتقالية الانتقالية + +496 +00:43:46,730 --> 00:43:48,150 +الانتقالية الانتقالية الانتقالية الانتقالية + +497 +00:43:48,150 --> 00:43:57,630 +الانتقالية الانتقالية الانتقالية الانتقالية + +498 +00:43:57,630 --> 00:43:59,090 +الان + +499 +00:44:01,700 --> 00:44:06,500 +بالمقابل عدد الـ Receptors اللى بتتصنع فى ال + +500 +00:44:06,500 --> 00:44:11,420 +Adaptive Immunity بتعدى + +501 +00:44:11,420 --> 00:44:15,080 +لعشرة قوة سبعة وفي بعض المراجع بتقول عشرة قوة عشرة + +502 +00:44:15,080 --> 00:44:23,660 +furthermore + +503 +00:44:23,660 --> 00:44:26,760 +where is the adaptive immune system can + +504 +00:44:26,760 --> 00:44:28,720 +distinguish between antigen + +505 +00:44:31,490 --> 00:44:36,050 +تخيلوا ال .. ال .. ال .. ال .. في ال adaptive + +506 +00:44:36,050 --> 00:44:44,450 +immune system بصير في تعرف و تفريق of antigen + +507 +00:44:44,450 --> 00:44:50,610 +موجودة على different microbes of the same class + +508 +00:44:50,610 --> 00:44:54,730 +ماشي or even antigen + +509 +00:44:59,660 --> 00:45:03,700 +يعني ممكن one microbe يحتوي على أكتر من antigen و + +510 +00:45:03,700 --> 00:45:10,220 +أيضا ال adaptive immune system يتعرف على كل + +511 +00:45:10,220 --> 00:45:14,660 +antigen على أحدها و ده مالطبيعي جدا ان antigen + +512 +00:45:14,660 --> 00:45:18,340 +واحد ممكن يحتوي على أكتر من Epitopes و كل Epitopes + +513 +00:45:18,340 --> 00:45:21,420 +ممكن ال Epitopes هذه ممكن تكون identical or + +514 +00:45:21,420 --> 00:45:25,550 +different يوم تكون identical oneantibody or one + +515 +00:45:25,550 --> 00:45:29,070 +receptor هيتعرف عليهم كلهم لكن يوم ما يكونوا + +516 +00:45:29,070 --> 00:45:33,750 +different طبعا هيصير كل واحد إله إيش؟ إله اللي هو + +517 +00:45:33,750 --> 00:45:36,390 +receptor خاص بيه + +518 +00:45:46,290 --> 00:45:49,330 +معرفة الـ Immunity كما تشاهدون فينا physical + +519 +00:45:49,330 --> 00:45:56,110 +barrier او chemical barrier على skin طبعا دول إذا + +520 +00:45:56,110 --> 00:46:00,950 +كانت ال skin intact معناته تمنا اللي هو دخول ال + +521 +00:46:00,950 --> 00:46:03,690 +antigen من أصله ال physical barrier + +522 +00:46:06,770 --> 00:46:10,150 +والكيميكال باريار زي الاسدك بي أتش و ال + +523 +00:46:10,150 --> 00:46:14,630 +antimicrobial protein بيبتعد لكن once preached + +524 +00:46:14,630 --> 00:46:22,230 +مراتو الانتجين ممكن ياشي ممكن يدخل في داخل الجسم + +525 +00:46:22,230 --> 00:46:26,070 +Cellular Response to Infection ده هو ال pathogen + +526 +00:46:26,070 --> 00:46:36,180 +دخل ماشي ممكن تاخدوا خلية تعملوا phagocytosisو + +527 +00:46:36,180 --> 00:46:43,160 +تتصدى الى الانكيس اللى تقتله مباشرة او تاخد + +528 +00:46:43,160 --> 00:46:48,380 +الماكروفيش و تعمله processing ماشى + +529 +00:46:52,660 --> 00:46:59,240 +T-lymphocytes وطبعا sorry ايوناقرافير ودندراتكسل + +530 +00:46:59,240 --> 00:47:04,520 +بوث أرفع جثتكسل بيعملوا اللي هو destruction + +531 +00:47:04,520 --> 00:47:09,940 +للموليكيول أو بس بيعملوا activation لل adaptive + +532 +00:47:09,940 --> 00:47:15,300 +immune system بي سل و T سل اتنشطت ال بي سل انتشرت + +533 +00:47:15,300 --> 00:47:21,960 +انتيبادي و T سل receptor ايضا اتنشط ل other types + +534 +00:47:21,960 --> 00:47:27,160 +of cellطبعاً activation of adaptive immunity جاي + +535 +00:47:27,160 --> 00:47:30,460 +من release of certain cytokine اللي أسطر عن + +536 +00:47:30,460 --> 00:47:35,340 +الخلايا اللي مسكت ال antigen نشطت وفرزعت cytokine + +537 +00:47:35,340 --> 00:47:39,480 +عملت ال inflammation وطلعت antimicrobial substance + +538 +00:47:39,480 --> 00:47:43,380 +وصار في systemic effect ده هو نشطت ال adaptive + +539 +00:47:43,380 --> 00:47:48,080 +immunity وإما تكون antibody وإما تكون T cell + +540 +00:47:53,100 --> 00:47:56,180 +الـ component of innate immunity هتكون تتكوّن من + +541 +00:47:56,180 --> 00:47:59,840 +تلت مواقع أساسية إما anatomical barrier وهي عبارة + +542 +00:47:59,840 --> 00:48:03,260 +عن physical أو chemical أو cell زي ال phagocystic + +543 +00:48:03,260 --> 00:48:09,180 +cell و ال dendritic cell و ال ankyl cell أو اللي + +544 +00:48:09,180 --> 00:48:12,760 +هو ال soluble protein زي ال complement و ال + +545 +00:48:12,760 --> 00:48:18,740 +cytokine و ال chemokine و ال antimicrobial + +546 +00:48:18,740 --> 00:48:27,030 +substance ال ILC هي برعنة innateLymphoid cell يعني + +547 +00:48:27,030 --> 00:48:32,130 +خلايا lymphoid لكنها داخلة في ايه؟ في الامية + +548 +00:48:32,130 --> 00:48:37,550 +immunity ايش + +549 +00:48:37,550 --> 00:48:43,900 +الحاجات اللي ممكناش موجودة في ال host ايضاوبتلعب + +550 +00:48:43,900 --> 00:48:47,840 +دور ك antimicrobial action في ال innate immunity + +551 +00:48:47,840 --> 00:48:51,820 +جاله فيه عدة مواد منها ال glycoprotein substance + +552 +00:48:51,820 --> 00:48:55,580 +وامثلة على ذلك دورهم ده هو زي ال iron زي ال + +553 +00:48:55,580 --> 00:49:01,420 +lactoferrin بيروحوا ملجة ال iron كلها وماسكوا زي + +554 +00:49:01,420 --> 00:49:07,960 +ال transferrin أيضاممشك الـ Iron ثم certain + +555 +00:49:07,960 --> 00:49:12,540 +opsinizers زي الـ Fiber Nectar هذه عبارة عن أيه؟ + +556 +00:49:12,540 --> 00:49:17,460 +عبارة عن Antimicrobial Substance بعض البروتينات زي + +557 +00:49:17,460 --> 00:49:18,280 +ال Isozyme + +558 +00:49:25,340 --> 00:49:27,980 +البروتين والكربوهيدر الكومليكزاد كومليمان + +559 +00:49:27,980 --> 00:49:32,700 +وإنفلاميشن تلعب دور كبير في انفلاميشن و بصممزيشن و + +560 +00:49:32,700 --> 00:49:38,380 +سيمبايسيز يبقى غير انه ال reception في other + +561 +00:49:38,380 --> 00:49:43,300 +antimicrobial substance موجودة في ال host تلعب دور + +562 +00:49:43,300 --> 00:49:44,260 +كبير في ال + +563 +00:49:47,140 --> 00:49:53,340 +وهيهم هنا summary هذه ال figure summary لل innate + +564 +00:49:53,340 --> 00:49:57,680 +immunity defenses يعني ال first line defense + +565 +00:49:57,680 --> 00:50:04,180 +mechanism غالبا متمثل ب skin and mucous membrane + +566 +00:50:04,180 --> 00:50:07,840 +قسموه ل physical barrier + +567 +00:50:10,970 --> 00:50:15,610 +والميوكاس والممرين ميوكاس واللاجرما الاباراتوس + +568 +00:50:15,610 --> 00:50:22,550 +موجود في العين سالايفا هير ميسيليا اميجلوتس اندرين + +569 +00:50:22,550 --> 00:50:26,970 +وجاينا سيكريشن و البريستاليسيز movement تبعت من + +570 +00:50:26,970 --> 00:50:33,860 +تبعت إلى معاق or chemical factors like sebumهذه + +571 +00:50:33,860 --> 00:50:38,860 +طبقة فوق ال .. ال skin تفرز تخلي ال skin acidic + +572 +00:50:38,860 --> 00:50:43,920 +برضه بمنع نمو البكتيريا saliva, gastric juice, + +573 +00:50:44,020 --> 00:50:49,600 +urine يعني برجع إلى ال secretion other + +574 +00:50:49,600 --> 00:50:51,760 +component + +575 +00:50:52,660 --> 00:50:56,260 +استكمالا للـ summary second line defense mechanism + +576 +00:50:56,260 --> 00:51:00,500 +زي الـ defense in cells و طبعا هذه من أشرح ال + +577 +00:51:00,500 --> 00:51:07,180 +phagocytic cell و ال anky cell ثم ال inflammation + +578 +00:51:07,180 --> 00:51:10,760 +بحد ذاته و ال fever inflammation confine and + +579 +00:51:10,760 --> 00:51:16,980 +destroy microbes بينما ال fever intensify the + +580 +00:51:16,980 --> 00:51:21,040 +effect of interferonوبالتالي تعمل انهيبشين لـ + +581 +00:51:21,040 --> 00:51:25,420 +growth of certain microbes بجهد أدوات أخرى أيضًا + +582 +00:51:25,420 --> 00:51:30,260 +بتعتبر second line defense mechanism بتفرزها اللي + +583 +00:51:30,260 --> 00:51:34,620 +هو أو بتشارك في جنية الميليدية كمان في + +584 +00:51:34,620 --> 00:51:36,980 +antimicrobial substance زي ال complement + +585 +00:51:36,980 --> 00:51:40,880 +interferon iron binding protein and antimicrobial + +586 +00:51:40,880 --> 00:51:42,300 +peptide + +587 +00:51:50,040 --> 00:51:53,440 +و طبعا استكمالا للموضوع نتعرف على الخلايا هذه + +588 +00:51:53,440 --> 00:51:57,300 +عبارة عن hemipoietic tree و احنا اتفقنا على ان ال + +589 +00:51:57,300 --> 00:52:01,040 +lymphoid cell تلعب ضول كبير في ال adaptive + +590 +00:52:01,040 --> 00:52:07,110 +immunityميلويد بتلعب دور كبير في ال .. إيش؟ في ال + +591 +00:52:07,110 --> 00:52:12,070 +.. ال net immunity وهذه صورة مهمة كبّر على الموضوع + +592 +00:52:12,070 --> 00:52:15,950 +هي كل الميلويد بما فيهم طبعا ال dendritic cell و + +593 +00:52:15,950 --> 00:52:19,670 +ال muscle ماشي كلهم بتلعب دور كبير في ال net + +594 +00:52:19,670 --> 00:52:23,190 +immunity بينما ال acquired immunity عبارة عن P و T + +595 +00:52:23,190 --> 00:52:27,370 +زي ما قلتلكم و ادناش ننسى ان في collaboration + +596 +00:52:27,370 --> 00:52:29,230 +بشتغل في الجهتين + +597 +00:52:35,530 --> 00:52:38,890 +للماكروفيج اللي هتدور أساسي جدا في الانيت امينيتي + +598 +00:52:38,890 --> 00:52:43,930 +ايضا وجاله ماكروفيج في منها نوعين في منها اللي هو + +599 +00:52:43,930 --> 00:52:51,650 +fixed بيسموها لسه flexible program ماشي يعني ال + +600 +00:53:02,620 --> 00:53:06,660 +طبعا هى اللى بعدها كل انفار من جنة GM ثم كل انفار + +601 +00:53:06,660 --> 00:53:10,700 +من جنة M طلعت فى النهاية Macrophage ال Macrophage + +602 +00:53:10,700 --> 00:53:13,860 +فى منها أنواع مختلفة لأن زى ما قلتلكوا هى عبارة عن + +603 +00:53:13,860 --> 00:53:18,200 +Fixed Macrophage فى أنواع مختلفة منها حسب ال organ + +604 +00:53:18,200 --> 00:53:22,500 +اللى بتقعد فى هفى فى ال lung alveolar فى فى ال + +605 +00:53:22,500 --> 00:53:28,000 +bone osteoclast فى ال histiocytes ايضا موجودة طبعا + +606 +00:53:28,000 --> 00:53:31,180 +هى gopher cell و ال microglia + +607 +00:53:35,020 --> 00:53:42,820 +والعبارة عن أنواع خاصة بالأعضاء المختلفة أيضا ال + +608 +00:53:42,820 --> 00:53:46,480 +macro phage activation ممكن أنه لها اكتر من ايش + +609 +00:53:46,480 --> 00:53:52,900 +اكتر من وظيفة ال macro phage وهذه الوظائف usually + +610 +00:53:52,900 --> 00:53:58,100 +ال program تبعها driven by micro environmental + +611 +00:53:58,100 --> 00:54:02,560 +signals ف certain cytokine can be released وفي كل + +612 +00:54:02,560 --> 00:54:03,560 +مرة already genetic + +613 +00:54:06,780 --> 00:54:09,920 +changes هتغيرنا ال phenotype و ال functional + +614 +00:54:09,920 --> 00:54:15,080 +plasticity of the macrophage فعلى سبيل الاسئلة قد + +615 +00:54:15,080 --> 00:54:18,440 +تقول ان ال macrophage تلعب يعني سلاح دوحدين هي في + +616 +00:54:18,440 --> 00:54:24,680 +ال gamma interferon بتتحول ل M1 cell في وجود ال + +617 +00:54:24,680 --> 00:54:31,910 +IL4 و IL13 ايضا تتحول ل M2 cellفي وجود الـ Toll + +618 +00:54:31,910 --> 00:54:35,750 +-like receptor تتحول لغاية الـ TIN regulatory اللي + +619 +00:54:35,750 --> 00:54:40,810 +هو الـ Cell طبعا كل واحدة منها دهية فدي عبارة عن + +620 +00:54:40,810 --> 00:54:44,930 +Pro-inflammatory and regulate wound healing فدي + +621 +00:54:44,930 --> 00:54:49,510 +عبارة عن Anti-inflammatory لكن بالمقابل تقريبا + +622 +00:54:49,510 --> 00:54:53,310 +جميع الناس اللي عدوا ع الدين ممكن هذه الخلايا + +623 +00:54:57,590 --> 00:55:02,470 +ماشي تتكون خلايا أخرى زى tumor associated + +624 +00:55:02,470 --> 00:55:11,090 +macrophage و ال myeloid derived stem cell ماشي + +625 +00:55:11,090 --> 00:55:12,410 +هدولة both + +626 +00:55:22,420 --> 00:55:26,040 +Tumorogenesis يعني بيساعدوا في severity of tumor + +627 +00:55:26,040 --> 00:55:30,760 +في هذه الحالة وقرب المقال Myeloid راح تستمثل أصلا + +628 +00:55:30,760 --> 00:55:34,600 +وسلة differentiation من tumor associated with + +629 +00:55:34,600 --> 00:55:42,720 +macrophages وبالتالي في وجود certain طبعا + +630 +00:55:42,720 --> 00:55:46,460 +triggering factor بتتحول وسلة differentiation + +631 +00:55:46,460 --> 00:55:47,380 +بتتكون + +632 +00:55:53,250 --> 00:55:56,010 +هذه صورة لـ Neutrophil under electron microscope + +633 +00:55:56,010 --> 00:56:01,530 +نيوتروفيل خلية أخرى من الفاجوسيدكسيل طبعا الجسم + +634 +00:56:01,530 --> 00:56:04,750 +ينتج + +635 +00:56:04,750 --> 00:56:10,650 +هذه الخلية بسرعة سبعة مليون خلية في الدقيقة + +636 +00:56:10,650 --> 00:56:16,250 +الواحدة تطلع من البوماروال life span تبعتها صغيرة + +637 +00:56:16,250 --> 00:56:20,370 +short-lived بتعيش يومين لتلت أيام و لأن ال + +638 +00:56:20,370 --> 00:56:23,030 +granules تبعتها تحتوي على certain antibiotic + +639 +00:56:23,030 --> 00:56:29,550 +protein و غالبا بيخزن على شاكلتين الشاكلة الأولى + +640 +00:56:29,550 --> 00:56:33,550 +هي عبارة عن primary او بيسموها zoophilic granules + +641 +00:56:33,550 --> 00:56:38,130 +تحتوي على lysozyme containing acid hydrolysis + +642 +00:56:38,130 --> 00:56:39,250 +mylohexidase + +643 +00:56:45,070 --> 00:56:48,510 +والشكل التاني هو عبارة عن الـ secondary granules + +644 +00:56:48,510 --> 00:56:51,790 +ويبقى عبارة عن الـ specific to neutrophil كنتير، + +645 +00:56:51,790 --> 00:56:58,970 +الأكتوفرين والإيزوزاين.Tendritic + +646 +00:56:58,970 --> 00:57:04,870 +cell هي عبارة عن long-lived cell and it resides in + +647 +00:57:04,870 --> 00:57:07,410 +immature state in most tissues. + +648 +00:57:11,410 --> 00:57:16,890 +على ال pathogen الولوفاجو سايتوسيز and they are + +649 +00:57:16,890 --> 00:57:22,130 +found as interdigitating cell of the thymus ال + +650 +00:57:22,130 --> 00:57:27,750 +interdigitating cell هي عبارة عن الخلايا التي تقدم + +651 +00:57:27,750 --> 00:57:31,910 +ال MHC molecule لل T lymphocyte في مراحل مبكرة جدا + +652 +00:57:31,910 --> 00:57:38,560 +حتى تتعرف عليهمثال آخر على الـ Dendritic Cell هو + +653 +00:57:38,560 --> 00:57:43,780 +الـ Langerhansel اللي موجودة في الـ skin. Both are + +654 +00:57:43,780 --> 00:57:47,340 +derived from the same hemoglobin precursor as + +655 +00:57:47,340 --> 00:57:48,240 +monocytes. + +656 +00:57:51,180 --> 00:57:54,840 +Upon direct contact with many pathogens, this will + +657 +00:57:54,840 --> 00:57:55,840 +lead to maturation. + +658 +00:58:15,040 --> 00:58:23,390 +بالتالي مهم جدا في الـ innate و في الأدابالانتجين + +659 +00:58:23,390 --> 00:58:26,610 +للـ T-lymphocyte بتنشطها و T-lymphocyte احنا + +660 +00:58:26,610 --> 00:58:32,070 +اتفقنا ان هي احد أدوات ال adaptive immunity وشوفوا + +661 +00:58:32,070 --> 00:58:39,330 +هيدنتر تكسل ماشي ممكن ترتبط في الانتجين ده هي + +662 +00:58:39,330 --> 00:58:45,810 +رتبطت في الانتجين من خلال ال HLA او ال MRC موجود + +663 +00:58:45,810 --> 00:58:49,490 +بتنشط + +664 +00:58:49,490 --> 00:58:52,270 +ال cytotoxic T-lymphocyte + +665 +00:58:54,010 --> 00:58:58,090 +من خلال رابطتين الرابط الأولانية بيسموها اختار + +666 +00:58:58,090 --> 00:59:02,390 +اللي هو ارتباط ال TCR بالانتجن والرابط التاني من + +667 +00:59:02,390 --> 00:59:08,250 +خلال ارتباط ال B7 CD28 وهو بالتالي بتتنشط اللي هو + +668 +00:59:08,250 --> 00:59:13,710 +ال cytotoxic lymphocyte وبتعمل apoptosis ل tumor + +669 +00:59:13,710 --> 00:59:22,380 +cell أو أيضا ممكن تقدم الانتجن ل CD4 T cellوبرضه + +670 +00:59:22,380 --> 00:59:29,220 +نفس الارتباطات B7 مع CD28 وTCR مع MHC class 2 هناك + +671 +00:59:29,220 --> 00:59:35,160 +class واحدة وبالتالي تتنشط ال CD4 تفرز IL2 تتنشط + +672 +00:59:35,160 --> 00:59:41,440 +cytotoxic أو تفرز gamma interferon وفي وجود CD4 + +673 +00:59:41,440 --> 00:59:48,400 +T40 legend ممكن أيضا اللي هو تتنشط وبالتالي بيصير + +674 +00:59:48,400 --> 00:59:53,440 +فيه زيادة في ال antigen presentationأو يمكن أن + +675 +00:59:53,440 --> 00:59:58,140 +يكون على اكتفاء تعمل اكتفاء مبتدأ لديوم السلم + +676 +00:59:58,140 --> 01:00:03,160 +وبالتالي تحصل على انكسل + +677 +01:00:03,160 --> 01:00:06,680 +انكسل هم أشخاص من نظام الانهيطيبيون + +678 +01:00:09,480 --> 01:00:14,780 +أو لعن خلية متخصصة في ال virally infected cell و + +679 +01:00:14,780 --> 01:00:18,180 +في ال malignant cell against .. بتشتغل against + +680 +01:00:18,180 --> 01:00:25,500 +virally infected cell and eumarginesis و طبعا جبل + +681 +01:00:25,500 --> 01:00:30,280 +ما تشتغل ال TE cytotoxic lymphocyte بتشتغل ال + +682 +01:00:30,280 --> 01:00:33,620 +Ankycin لأنها أحد أدوات ال innate فال innate + +683 +01:00:33,620 --> 01:00:39,060 +بيشتغل جبل مين؟ جبل الأدابةهي كوكب كبيرة و جرانيلة + +684 +01:00:39,060 --> 01:00:43,140 +و لينفوسية و لديها القدرة على إعادة إعادة إعادة + +685 +01:00:43,140 --> 01:00:44,040 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +686 +01:00:44,040 --> 01:00:47,520 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +687 +01:00:47,520 --> 01:00:50,240 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +688 +01:00:50,240 --> 01:00:50,300 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +689 +01:00:50,300 --> 01:00:53,780 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +690 +01:00:53,780 --> 01:01:01,380 +إعادة إعادة إعادة إعادة إعادة + +691 +01:01:01,380 --> 01:01:04,600 +إعاد + +692 +01:01:09,670 --> 01:01:15,170 +أو تعمل cytotoxicity تسمم الخلية المصابة وبالتالي + +693 +01:01:15,170 --> 01:01:22,190 +تقتلها ماشي أو ال tumor cell دقيقة بتروح و هي + +694 +01:01:22,190 --> 01:01:26,710 +مرتبطة هنا من خلالها من خلال ال activating + +695 +01:01:26,710 --> 01:01:30,730 +receptor ده هو طبعا ب stress induced legend و + +696 +01:01:30,730 --> 01:01:36,010 +اتنشطت و طبعا افرازات اللي هو granules عملت lysis + +697 +01:01:36,010 --> 01:01:37,110 +of the target cell + +698 +01:01:47,570 --> 01:01:51,130 +كيفية تم عملية القتل ده هي طبعا هي الانكي سيل + +699 +01:01:51,130 --> 01:01:59,290 +ارتبطت بين ال virus infected cell قتلتها عملت + +700 +01:01:59,290 --> 01:02:03,650 +degranulation قتلتها وارتبطت هنا ب injured cell و + +701 +01:02:03,650 --> 01:02:10,930 +برضه عملت degranulation و راح قتلتها في ال Bهذا هي + +702 +01:02:10,930 --> 01:02:17,850 +micro phage طلعت لجتها عاملة phagocytosis ل micro + +703 +01:02:17,850 --> 01:02:26,430 +و لما تعمل phagocytosis ل micro phage بتتنشر طبعا + +704 +01:02:26,430 --> 01:02:35,840 +فبتقدم ال antigen هذا هي و بتفرز cytokineيبقى + +705 +01:02:35,840 --> 01:02:39,680 +بيصير في direct contact أول ثم بيصير في release of + +706 +01:02:39,680 --> 01:02:45,080 +cytokine في هذه الحالة إذا كان أفراز IL-12 بتروح + +707 +01:02:45,080 --> 01:02:53,100 +هي الانكس المتنشطة ومطلعة gamma interferon اللي + +708 +01:02:53,100 --> 01:02:56,900 +بتحفز ال microphage على قتل الميكروب اللي في + +709 +01:02:56,900 --> 01:03:03,100 +داخلها فبصير في killing لل phagocytosed microbe + +710 +01:03:04,300 --> 01:03:07,860 +يبقى إما بتعمل direct killing by degranulation + +711 +01:03:07,860 --> 01:03:13,440 +وإما إنها تقدملها الانتجم طريقة معينة by source و + +712 +01:03:13,440 --> 01:03:17,840 +in the presence of certain cytokines زي IR12 تتنشط + +713 +01:03:17,840 --> 01:03:21,220 +و تفرز جمعين ترفيرون فبتحفظ الماكروفيجي علاقات + +714 +01:03:21,220 --> 01:03:29,880 +مافي داخلها الانكسل أيضا express non-TCR ماعليهاش + +715 +01:03:29,880 --> 01:03:31,580 +TCR related receptor + +716 +01:03:34,390 --> 01:03:40,150 +TCR ريسبتور وانما عليها other ريسبتور زي ال killer + +717 +01:03:40,150 --> 01:03:50,290 +cell inhibitor ريسبتور و killer activating ريسبتور + +718 +01:03:50,290 --> 01:03:56,770 +ال KIR specific for MHC class 1 molecule + +719 +01:03:59,600 --> 01:04:03,980 +وعملية القتل عادة بتتم من خلال release of certain + +720 +01:04:03,980 --> 01:04:09,220 +cytotoxic molecules بعضهم بيعمل عملية خرج يعني + +721 +01:04:09,220 --> 01:04:15,140 +formation of a hole in the target cell و التاني + +722 +01:04:15,140 --> 01:04:20,880 +بدخل و بيعمل license للخلية by activation of + +723 +01:04:20,880 --> 01:04:29,180 +apoptosis mechanism ماشي يبقى هي ال anky cellعلى + +724 +01:04:29,180 --> 01:04:34,160 +سطحه Receptor واحد اسمه Inhibitory ده هو ال KIR + +725 +01:04:34,160 --> 01:04:40,580 +والتاني Activatory ال Inhibitory specific for MSC + +726 +01:04:40,580 --> 01:04:48,460 +class 1 molecule و ال activating receptor بيرتبط ب + +727 +01:04:48,460 --> 01:04:51,920 +legend اسمه activating legend على سطح ال target + +728 +01:04:51,920 --> 01:04:58,530 +cell ماشي و الأن هنشوف ال mechanismطبعاً زي ما + +729 +01:04:58,530 --> 01:05:02,750 +تشايفين الـ Receptors اللي موجودة ده هي الـ NKCl و + +730 +01:05:02,750 --> 01:05:07,930 +عليها كل دولة Receptors عليها Activating Receptors + +731 +01:05:07,930 --> 01:05:13,170 +زي ما تشايفين و هي متمثلين بالخط الأخضر عليها + +732 +01:05:13,170 --> 01:05:16,470 +Inhibitory Receptors ده هو متمثلين بالخط الأحمر + +733 +01:05:16,470 --> 01:05:21,710 +عليها Gemotactic Receptors متمثلين بالموف هذا + +734 +01:05:21,710 --> 01:05:27,680 +عليها Adhesion Receptors ده هووهي طبعا في cytokine + +735 +01:05:27,680 --> 01:05:31,480 +receptor موجودين في منطقة ال air activating + +736 +01:05:31,480 --> 01:05:35,860 +receptor كيف + +737 +01:05:35,860 --> 01:05:43,560 +نتحكم بعمل ال anky cell يعني ال control of anky + +738 +01:05:43,560 --> 01:05:51,000 +cell ماشي اتفقنا ان في عندنا inhibitory receptor و + +739 +01:05:51,000 --> 01:05:56,980 +activating receptorماذا يحدث؟ جاء الـActivating + +740 +01:05:56,980 --> 01:06:01,760 +طبعاً ده هو الـInhibitor الـCentral هو بره + +741 +01:06:01,760 --> 01:06:06,800 +الـCentral في الامة C Class I موليكيوم يوم + +742 +01:06:06,800 --> 01:06:12,560 +يكون موجود لما الـC Class I موليكيوم يروحوا مرتبط + +743 +01:06:12,560 --> 01:06:20,560 +بالـKIR ارتباطه بالـKIR بنشط اللي هو Phosphatase + +744 +01:06:20,560 --> 01:06:22,080 +enzyme + +745 +01:06:24,270 --> 01:06:28,850 +و ال phosphatase بيعمل dephosphorylation لل + +746 +01:06:28,850 --> 01:06:32,950 +protein tyrosine kinase وبالتالي بيعمل inhibition + +747 +01:06:32,950 --> 01:06:38,450 +لل activating receptor و بيصير فيه ايش inhibitory + +748 +01:06:38,450 --> 01:06:43,960 +action مرة تانية يوم ما تيجي خلية سريمةفدهي هنا + +749 +01:06:43,960 --> 01:06:50,100 +تحت خلية سليمة الخلايا السليمة عادة على سطحها MSC + +750 +01:06:50,100 --> 01:06:54,020 +Class I Molecule Anisomatic Cell عليها سطحها MSC + +751 +01:06:54,020 --> 01:06:58,840 +Class I Molecule فطبعا وجود MSC Class I Molecule + +752 +01:06:58,840 --> 01:07:05,480 +هو مرتبط الخلية أنما تصادف عن K Cell تروحوا يمرتبط + +753 +01:07:05,480 --> 01:07:09,180 +بيه وبالتالي بتنشط اللي هو + +754 +01:07:11,910 --> 01:07:14,990 +ماشي فوسفاتيز انزعام، شو بعمل؟ بعمل + +755 +01:07:14,990 --> 01:07:18,430 +dephosphorylation للبروتين تالوزين كاينيز وين + +756 +01:07:18,430 --> 01:07:22,390 +موجود على ال activating receptor وبالتالي بعمله + +757 +01:07:22,390 --> 01:07:29,830 +انهيبش في غياب ال MHC class one molecule في غيابه، + +758 +01:07:29,830 --> 01:07:33,700 +شو اللي بيصير؟كانوا والله في غيابه ال activating + +759 +01:07:33,700 --> 01:07:39,320 +receptor بده يصله في exfoliation يتمشط ويرتبط بمين + +760 +01:07:39,320 --> 01:07:43,160 +من الليجين تبعه اللي موجودة على ال target cell + +761 +01:07:43,160 --> 01:07:47,400 +وصير في ارتباط وبالتالي بيصير عملية قتل لأن زي ما + +762 +01:07:47,400 --> 01:07:51,240 +انتوا شايفين هنا الخلية لم تقتل لأنه في عالية + +763 +01:07:51,240 --> 01:07:54,180 +سطحها inhibitory receptor امازي class I molecular + +764 +01:07:54,180 --> 01:08:04,220 +و هنا قتلت لأنه في غياب لليبس وان molecule في بعض + +765 +01:08:04,220 --> 01:08:09,600 +مرات شو اللي بيصير بيصير في انه الخلايا بتكون over + +766 +01:08:09,600 --> 01:08:13,180 +stressed يعني stressed cell بيسموها stressed cell + +767 +01:08:13,180 --> 01:08:18,000 +و بيصير في هذه الحالة induction او expression ل + +768 +01:08:18,000 --> 01:08:22,970 +activating ligand اكتر من واحدماشي وبالتالي لما + +769 +01:08:22,970 --> 01:08:29,030 +يمسك اكتر من واحد activating ligand في activating + +770 +01:08:29,030 --> 01:08:32,090 +receptor على سطح الخلية يمسك فيه activating ligand + +771 +01:08:32,090 --> 01:08:35,350 +طبعا في هذه الحالة بيصير عملية قتل ال stressed + +772 +01:08:35,350 --> 01:08:39,850 +cell قتل ايه؟ و اكتر ايش بيصير فيه stressed cell + +773 +01:08:39,850 --> 01:08:49,010 +لإنه يوم يكون فيه infection و acute infection فهي + +774 +01:08:49,010 --> 01:08:49,510 +receptor + +775 +01:09:01,980 --> 01:09:04,820 +Pattern recognition receptor other than اللي + +776 +01:09:04,820 --> 01:09:10,120 +حكيناه سابقا ده ال F مثل لويسين في نطاب ال + +777 +01:09:10,120 --> 01:09:13,480 +receptor موجود على سطح النيوتروفيولوجيتال + +778 +01:09:13,480 --> 01:09:17,200 +ككينوتاكتك ال receptor برتبط في الunformulated + +779 +01:09:17,200 --> 01:09:22,200 +peptide بسيارة البكتيريا وبالتالي بيوجه البكتيريا + +780 +01:09:22,200 --> 01:09:26,480 +إلى مكان ال infection منهان by neglecting + +781 +01:09:32,140 --> 01:09:39,560 +لتعرف على الميكروبط اللي يسمّى pathogenic و ايضا + +782 +01:09:39,560 --> 01:09:48,020 +ارتباط الفاجوسايت منهز binding لكتين لسيبتل بهذه + +783 +01:09:48,020 --> 01:09:52,860 +السكريات اللي موجودة على سطحها هيأدى الactivation + +784 +01:09:52,860 --> 01:09:57,220 +of lictin pathway of the complement كما انتوا + +785 +01:09:57,220 --> 01:10:02,210 +شايفين هناالمانوز مرتبط بشرين البروتيز واحد واثنين + +786 +01:10:02,210 --> 01:10:05,970 +دول عبارة عن enzymes بنشط السكاريجيات مهينة هان + +787 +01:10:05,970 --> 01:10:12,270 +وبالتالي بترتمشط الخلية + +788 +01:10:12,270 --> 01:10:22,830 +وبتعمل عمل إفقاط للميكروب + +789 +01:10:22,830 --> 01:10:26,370 +قد الريسيبتور الاسكابينجيا الريسيبتور + +790 +01:10:45,220 --> 01:10:48,820 +مجموعة من الوثائق المعروفة من مجموعة من الوثائق + +791 +01:10:48,820 --> 01:10:53,020 +المعروفة من + +792 +01:10:56,720 --> 01:11:00,620 +بالنسبة لـ Adaptive immunity لأنه بيصير فيه + +793 +01:11:00,620 --> 01:11:06,400 +release of certain cytokine طبعا certain cytokine + +794 +01:11:06,400 --> 01:11:10,900 +بيؤدي الى activation of adaptive immunity هو تنشيط + +795 +01:11:10,900 --> 01:11:18,520 +ال co-stimulatory reaction why؟ + +796 +01:11:18,520 --> 01:11:21,280 +أولا عن ال receptors عليه certain toll-like + +797 +01:11:21,280 --> 01:11:27,530 +receptor كل واحدبتعرف على certain antigen فهي تلعب + +798 +01:11:27,530 --> 01:11:31,050 +ريسيبتور أربعة و خمسة بتعرف على اللايب و لسه كرايب + +799 +01:11:31,050 --> 01:11:35,930 +و واحد و اتنين و ستة بتعرف على لايب و بيبتايد + +800 +01:11:35,930 --> 01:11:40,230 +موجودة في gram نيجاتين بكتيريا في gram نيجاتين و + +801 +01:11:40,230 --> 01:11:44,750 +تلاتة أو سبعة أو تمانية أو تسعة بتعرفوا على ويرل + +802 +01:11:44,750 --> 01:11:46,250 +انبكتيريا النكليكاسيد + +803 +01:11:52,560 --> 01:11:58,320 +الـ Peptide و Glycine عبارة عن Peptide او ال + +804 +01:11:58,320 --> 01:12:05,000 +pathogen component ارتبط بتقول ريسبتر واحد اتنين و + +805 +01:12:05,000 --> 01:12:08,860 +خمسة و ستة كلهم specific له لل Peptide و Glycine + +806 +01:12:08,860 --> 01:12:10,740 +طبعا هذا بينشط + +807 +01:12:19,490 --> 01:12:24,230 +الذي يؤدي الى expression of inflammatory gene الذي + +808 +01:12:24,230 --> 01:12:24,350 +يؤدي الى expression of inflammatory gene الذي يؤدي + +809 +01:12:24,350 --> 01:12:25,490 +الى expression of inflammatory gene الذي يؤدي الى + +810 +01:12:25,490 --> 01:12:26,390 +expression of inflammatory gene الذي يؤدي الى + +811 +01:12:26,390 --> 01:12:27,030 +expression of inflammatory gene الذي يؤدي الى + +812 +01:12:27,030 --> 01:12:27,550 +expression of inflammatory gene الذي يؤدي الى + +813 +01:12:27,550 --> 01:12:29,490 +expression of inflammatory gene الذي يؤدي الى + +814 +01:12:29,490 --> 01:12:30,570 +expression of inflammatory gene الذي يؤدي الى + +815 +01:12:30,570 --> 01:12:30,990 +expression of inflammatory gene الذي يؤدي الى + +816 +01:12:30,990 --> 01:12:31,190 +expression of inflammatory gene الذي يؤدي الى + +817 +01:12:31,190 --> 01:12:32,730 +expression of inflammatory gene الذي يؤدي الى + +818 +01:12:32,730 --> 01:12:34,910 +expression of inflammatory gene الذي يؤدي الى + +819 +01:12:34,910 --> 01:12:35,530 +expression of inflammatory gene الذي يؤدي الى + +820 +01:12:35,530 --> 01:12:38,850 +expression of inflammatory gene الذي + +821 +01:12:38,850 --> 01:12:41,550 +يؤدي الى expression of inflammatory gene الذي + +822 +01:12:42,930 --> 01:12:47,930 +Stimulation of Adaptive Immunity طبعاً هذا الكلام + +823 +01:12:47,930 --> 01:12:51,010 +ممكن يصير في حالة اللايبوب ومو لسه كرايض لو طلعت + +824 +01:12:51,010 --> 01:12:57,410 +رسالته أربع ماشي هذا بنشط برضه ممكن يساعد أو + +825 +01:12:57,410 --> 01:13:03,730 +automatically ممكن ينشط ال adaptive protein اللي + +826 +01:13:03,730 --> 01:13:10,550 +هو معيدي 88 أو يستعين بأخر protein زي ال TRIF + +827 +01:13:14,570 --> 01:13:20,070 +النشطة الان اف كعب او بي ريسبتور ال transcription + +828 +01:13:20,070 --> 01:13:24,410 +factor sorry وهذا بيقلق بيقلق بيقلق بيقلق بيقلق + +829 +01:13:24,410 --> 01:13:24,950 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +830 +01:13:24,950 --> 01:13:26,070 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +831 +01:13:26,070 --> 01:13:26,810 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +832 +01:13:26,810 --> 01:13:35,090 +بيقلق + +833 +01:13:35,090 --> 01:13:43,530 +بيقلق + +834 +01:13:43,530 --> 01:13:51,650 +بماشي يرتبط ب single strand RNA او CBD DNA ماشي او + +835 +01:13:51,650 --> 01:13:55,850 +to like receptor تلاتة اللي ممكن يرتبط ب double + +836 +01:13:55,850 --> 01:14:01,990 +strand RNA طبعا نفس الميكانيزم هي هذا بيستعين ب + +837 +01:14:01,990 --> 01:14:08,250 +TRIF adaptoriprotein وهذا بيستعين ب MYD + +838 +01:14:08,250 --> 01:14:13,650 +adaptoriprotein + +839 +01:14:15,030 --> 01:14:17,790 +سواء كان هذا الميكانيزم أو هذا الميكانيزم محاصر بـ + +840 +01:14:17,790 --> 01:14:22,330 +acute inflammation وAntiviral + +841 +01:14:22,330 --> 01:14:26,450 +states ميكانيزم + +842 +01:14:26,450 --> 01:14:29,910 +آخر اسمه الـ nucleotide winding oligomerization + +843 +01:14:29,910 --> 01:14:37,050 +domain اللي هو اختصارها NOD-like receptor دول + +844 +01:14:37,050 --> 01:14:44,010 +موجودين في الـ cytosolوبتعرفوا على الـ alert cell + +845 +01:14:44,010 --> 01:14:48,850 +to invasion by intracellular pathogen دخل انتجن في + +846 +01:14:48,850 --> 01:14:55,010 +داخل الخلية بيحفظ بينشط اللي هو الخلايا للتعرف + +847 +01:14:55,010 --> 01:15:00,130 +عليه و لإرتباط فيه غالبا بسله activation اما by + +848 +01:15:00,130 --> 01:15:05,640 +bacteria derived molecule زي الالتي رأيناها أولًا + +849 +01:15:05,640 --> 01:15:11,200 +الـRNA أو الـOxytocin والفلاجلين في الـCytosol بس + +850 +01:15:11,200 --> 01:15:14,300 +يرتبطه مدلعك ريسيكتور انشياتي بروجرام of cellular + +851 +01:15:14,300 --> 01:15:19,620 +activity وحصلتها انفلاماتوري ريسبونس واخرى + +852 +01:15:19,620 --> 01:15:21,620 +ميكانيزات محافظة الروحانية مثل الانفكشن + +853 +01:15:21,620 --> 01:15:23,540 +الانتفارالي + +854 +01:15:26,720 --> 01:15:31,560 +الرسيبتور اللي هو not like receptor الجين بيؤدي + +855 +01:15:31,560 --> 01:15:38,680 +إلى chronic disease ومن أشرها الأزمة هذا + +856 +01:15:38,680 --> 01:15:40,580 +بالنسبة لل innate immunity + +857 +01:15:47,980 --> 01:15:51,740 +اللي بيصير فيه generation of antigen specific + +858 +01:15:51,740 --> 01:15:56,780 +lymphocyte ولمّا تتنشر في هذه الخلايا بيسموها + +859 +01:15:56,780 --> 01:16:01,520 +effector cell شو بيسموها effector cell generation + +860 +01:16:01,520 --> 01:16:05,560 +of mimic cell أيضًا يحدث في ال adaptive immunity + +861 +01:16:08,580 --> 01:16:15,340 +يقولنا it takes time تحتاج ل 96 ساعة at least and + +862 +01:16:15,340 --> 01:16:19,300 +it exhibits specificity against foreign substrates + +863 +01:16:19,300 --> 01:16:26,260 +وانها specific شو + +864 +01:16:26,260 --> 01:16:30,930 +اللي بيصير؟اللي بيصير انه ال reaction بيتم في ال + +865 +01:16:30,930 --> 01:16:34,050 +secondary lymphoid organs طيب إيش ال secondary + +866 +01:16:34,050 --> 01:16:36,710 +lymphoid organs؟ خليني أتعرف بشكل عام الآن على ال + +867 +01:16:36,710 --> 01:16:40,050 +lymphatic organs وقالوا ال lymphatic organs هي + +868 +01:16:40,050 --> 01:16:43,390 +مقارنة عن ال size in which lymphocyte maturation + +869 +01:16:43,390 --> 01:16:45,770 +and differentiation and proliferation take place + +870 +01:16:45,770 --> 01:16:50,210 +يبقى ال lymphocyte تتنشط بسبب differentiation و + +871 +01:16:50,210 --> 01:16:54,750 +proliferation و maturation في ال lymphoid organs + +872 +01:16:57,220 --> 01:17:00,920 +Primary أو Central lymphoid organ زي المولمر + +873 +01:17:00,920 --> 01:17:07,000 +والثائمس اللي بيصير فيه ان هذه الخلايا ال B و T + +874 +01:17:07,000 --> 01:17:12,080 +lymphocyte تتنشط و سلمه sorry سلمه maturation و + +875 +01:17:12,080 --> 01:17:18,960 +بتكتسب antigen specific للcenter في غياب ال + +876 +01:17:18,960 --> 01:17:20,440 +antigen عشان هيك بيسموها + +877 +01:17:25,850 --> 01:17:31,510 +بتطلع الخلايا mature وعلى سطحها receptor وكل خلية + +878 +01:17:31,510 --> 01:17:37,590 +is specific only for one antigenفبصير لها + +879 +01:17:37,590 --> 01:17:43,750 +circulation و بعدها بتلف او سموها homing بتبدأ تلف + +880 +01:17:43,750 --> 01:17:49,570 +و تبقى looking for antigen والله اذا كان مالجتهش + +881 +01:17:49,570 --> 01:17:54,570 +it will die by the end of its lifespan اذا كان + +882 +01:17:54,570 --> 01:17:57,970 +لجته بتاخده و تروح على ال secondary lymphoid + +883 +01:17:57,970 --> 01:18:01,350 +organs وفي ال secondary lymphoid organs بصير عملية + +884 +01:18:01,350 --> 01:18:02,770 +proliferation و differentiation + +885 +01:18:14,910 --> 01:18:19,370 +الـ immune response و هذه مواقع طبعا secondary + +886 +01:18:19,370 --> 01:18:23,730 +lymphoid organs طبعا ال .. sorry ال .. ال .. ال + +887 +01:18:23,730 --> 01:18:26,810 +lymphoid organs شكرا جزيلا من أشهر خليني أدى في ال + +888 +01:18:26,810 --> 01:18:29,470 +.. في ال primary lymphoid organs بقولنا thymus و + +889 +01:18:29,470 --> 01:18:36,770 +bone marrow thymus هي عبارة عن قدة موجودة + +890 +01:18:36,770 --> 01:18:40,950 +في ال thoracic cavity over + +891 +01:18:43,500 --> 01:18:50,480 +ماشي وفيها عملية ملوش maturation and proliferation + +892 +01:18:50,480 --> 01:18:54,660 +of T lymphocytes طيب ايش اللي بيصير؟ + +893 +01:18:57,980 --> 01:19:00,780 +sorry بيصير في maturation of lymphocyte + +894 +01:19:00,780 --> 01:19:05,960 +differentiation و ال .. و ال .. و ال proliferation + +895 +01:19:05,960 --> 01:19:08,840 +بيصير في السكان المفضل، هان بس بيصير ايش؟ + +896 +01:19:08,840 --> 01:19:17,230 +maturation و learning of T lymphocyte، ماشي؟هي + +897 +01:19:17,230 --> 01:19:20,790 +عبارة عن Thymus gland is a lymphoid-piloid + +898 +01:19:20,790 --> 01:19:25,830 +structure في مرحلة مبكرة جدا ال T lymphocytes + +899 +01:19:25,830 --> 01:19:30,890 +precursor cell بتروح عليها و هناك بتم عملية + +900 +01:19:30,890 --> 01:19:31,610 +تعليمها + +901 +01:19:37,790 --> 01:19:41,610 +الطبيعي During fetal development, the size of the + +902 +01:19:41,610 --> 01:19:45,390 +thymus increases. The growth continues until + +903 +01:19:45,390 --> 01:19:50,990 +puberty. دلتنم وتكبر تنم وتكبر هذه الغدة لغاية سن + +904 +01:19:50,990 --> 01:19:54,050 +البلوغ thereafter the thymus undergoes atrophy بعد + +905 +01:19:54,050 --> 01:20:00,810 +هيك بسنها atrophy by aging تتكون من جزئين مهمين + +906 +01:20:00,810 --> 01:20:06,910 +Cortex وMedullaوهذه مفتوحة بـ Thymocyte، + +907 +01:20:06,910 --> 01:20:12,590 +تلينفوسايت مادور في البرتقال ومشهورة إلى الميدالة، + +908 +01:20:12,590 --> 01:20:17,710 +حيث يجد أيضًا ميكروفاج ودنتراتكسيل في الميدالة. + +909 +01:20:21,140 --> 01:20:24,680 +وهذا هو ال thymus موجود زى ما انتوا شايفين يتكامل + +910 +01:20:24,680 --> 01:20:30,700 +جزءين جزء كورتكس وجزء مضلة تيجى ال endothelial T + +911 +01:20:30,700 --> 01:20:34,940 +cell في مرحلة وقتها بتخش على ال .. على ال cortex + +912 +01:20:34,940 --> 01:20:45,680 +فى ال cortex بتتم أمانية تدريبها ثم ب ..وبتنزل على + +913 +01:20:45,680 --> 01:20:52,420 +المضالع either CD4 أو CD8 و هناك بيكون فيه هي + +914 +01:20:52,420 --> 01:20:58,720 +موجودة و ال macro phage موجود و ال dendrite excel + +915 +01:20:58,720 --> 01:21:06,760 +موجودين وبالتالي ممكنية تنشيطها + +916 +01:21:06,760 --> 01:21:16,520 +بتملكنها تظهر على البريفرال بلد اذا ماتشور هذا هو + +917 +01:21:16,520 --> 01:21:19,900 +خاطس ال maturation of lymphocyte هي common + +918 +01:21:19,900 --> 01:21:25,000 +lymphoid precursor بيدينا اما بي و اما ت ال بي في + +919 +01:21:25,000 --> 01:21:29,700 +البولمار هو بالضل وسم لها maturation و بعدها تظهر + +920 +01:21:29,700 --> 01:21:36,260 +ك immature بي على ال peripheral bloodو يومد واجه + +921 +01:21:36,260 --> 01:21:41,280 +الانتيجين مثلها proliferation و بتاخد طبعا + +922 +01:21:41,280 --> 01:21:43,700 +الانتيجين بتواجهه في ال secondary lymphoid organs + +923 +01:21:43,700 --> 01:21:49,400 +تتحول إلى plasma سلوك تتكون من ال antibodyالـ T + +924 +01:21:49,400 --> 01:21:53,580 +بتهجر في مرحلة مبكرة على الـ Thymus و من هناك + +925 +01:21:53,580 --> 01:21:58,160 +بتنضج الى mature naïve T lymphocytes بتروح ال + +926 +01:21:58,160 --> 01:22:01,060 +preference circulation و ال preference circulation + +927 +01:22:01,060 --> 01:22:04,680 +بتروح ال secondary lymphoid organs و بتصيرت عملية + +928 +01:22:04,680 --> 01:22:07,460 +اللي هو recirculation بلاية ما تلاقي الالتجين + +929 +01:22:07,460 --> 01:22:15,440 +تاخده و بتهجمه في ال secondary lymphoid organs في + +930 +01:22:15,440 --> 01:22:17,060 +ال embryonic life البون مارو + +931 +01:22:20,210 --> 01:22:26,950 +بتطلع لنا بيسل which differentiate بدري اللي بيكون + +932 +01:22:26,950 --> 01:22:29,110 +مسؤول عن ال differentiation تبعها الفيتا ال liver + +933 +01:22:29,110 --> 01:22:32,970 +و after birth ال bone marrow هو اللي بيشتغل و + +934 +01:22:32,970 --> 01:22:36,530 +الفيتا ال liver بيجف ال بيسل mature in ال bone + +935 +01:22:36,530 --> 01:22:41,830 +marrow و بتبدأ تحصل على ال BCR اللي هو antigen + +936 +01:22:41,830 --> 01:22:47,430 +specific receptor و لإنه structural and specific + +937 +01:22:47,430 --> 01:22:54,820 +identical to antibodyبشكل أساسي ومميزته تبعته تكون + +938 +01:22:54,820 --> 01:22:59,880 +مميزة للـ Antibody اللي بده يتصنع بـ B-cell في + +939 +01:22:59,880 --> 01:23:05,640 +المستقبل. الـ B-cell ممتعين يتم تحميله بمشاركة + +940 +01:23:05,640 --> 01:23:08,640 +الدم للعضلات اللينفويدية الأعضاء اللينفويدية + +941 +01:23:08,640 --> 01:23:09,440 +الأعضاء اللينفويدية الأعضاء اللينفويدية + +942 +01:23:09,440 --> 01:23:09,940 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +943 +01:23:09,940 --> 01:23:11,620 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +944 +01:23:11,620 --> 01:23:14,180 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +945 +01:23:14,180 --> 01:23:14,200 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +946 +01:23:17,330 --> 01:23:21,470 +Trapping and Concentrating Secondary lymphoid + +947 +01:23:21,470 --> 01:23:26,090 +organs اللي هو two major function عملية نصية لفرن + +948 +01:23:26,090 --> 01:23:30,910 +substance نبرتنين هو المكان اللي بينتج فيه + +949 +01:23:30,910 --> 01:23:36,530 +antibody و بيتم فيه induction of antigen specific + +950 +01:23:36,530 --> 01:23:41,670 +T lymphocyte هو + +951 +01:23:41,670 --> 01:23:45,970 +دي secondary lymphoid organs ده هو ال + +952 +01:23:50,890 --> 01:23:54,190 +و ال white و ال red مسؤول عن ال polyp المسؤول عن + +953 +01:23:54,190 --> 01:24:03,630 +ال RBC's طبعا بيدخلوا ال antigen من + +954 +01:24:03,630 --> 01:24:11,010 +خلال الدمو هيدخل على اللي هو ال white bulib و red + +955 +01:24:11,010 --> 01:24:13,870 +bulib ال RBC's هناك بتتصفى فى ال red و ال white + +956 +01:24:13,870 --> 01:24:20,990 +BC's بتهاجم فى ال germinal center اللى موجود فى + +957 +01:24:20,990 --> 01:24:27,530 +ليهش فى ال white bulib و هذا عبارة عن lymph nodes + +958 +01:24:27,530 --> 01:24:37,840 +ماشي هذا هي فى efferent و فى afferentمشي بيخش الاش + +959 +01:24:37,840 --> 01:24:40,980 +الليمف + +960 +01:24:40,980 --> 01:24:46,980 +من الافيراند و بيطلع من الاش من الافيراند و طبعا + +961 +01:24:46,980 --> 01:24:52,260 +زي ما انتوا شايفين في germinal centers فيها ال بي + +962 +01:24:52,260 --> 01:24:56,980 +و ال dendritexel و الماجروفيل و ال telemphocyte + +963 +01:24:56,980 --> 01:25:01,520 +deep cortical area و ال paracortical region + +964 +01:25:01,520 --> 01:25:06,780 +contain telemphocyte and dendritexelيعني في ال + +965 +01:25:06,780 --> 01:25:11,560 +cortex أو في الديب أو في ال paracortex مولودة T + +966 +01:25:11,560 --> 01:25:16,560 +lymphocyte dendritic cell في + +967 +01:25:16,560 --> 01:25:22,240 +المدلة بيحتوي على antibody-secreting plasma cell + +968 +01:25:22,240 --> 01:25:27,840 +اللي أصلا traveled from the cortex + +969 +01:25:31,440 --> 01:25:37,580 +خط سير lymphocyte circulation blood lymphocytes + +970 +01:25:37,580 --> 01:25:43,080 +post capillary venule lymph nodes efferent + +971 +01:25:43,080 --> 01:25:46,900 +lymphatic + +972 +01:25:46,900 --> 01:25:50,480 +vessels through a thoracic duct + +973 +01:26:00,280 --> 01:26:05,520 +من ال .. + +974 +01:26:05,520 --> 01:26:09,440 +الأماكن التصنيحية سواء كان بونور أو أورثايموس و + +975 +01:26:09,440 --> 01:26:15,030 +بتطلع علىالـ secondary fluid organs والمثال هنا + +976 +01:26:15,030 --> 01:26:19,810 +على ال lymph node هي post capillary venules ثم + +977 +01:26:19,810 --> 01:26:23,370 +lymph node ثم تخرج من ال lymph node to the + +978 +01:26:23,370 --> 01:26:27,770 +efferent lymphatic vessels وتروح على ثلاثة cavity + +979 +01:26:27,770 --> 01:26:34,150 +وردكت ثم فينا كافة ثم hard و بتضل برضه تضخ مرة + +980 +01:26:34,150 --> 01:26:36,470 +تانية في blood circulation + +981 +01:26:40,870 --> 01:26:44,470 +الانتجن دخل الانتجن لسكندرى الانفويد اما عن طريق + +982 +01:26:44,470 --> 01:26:44,890 +blood + +983 +01:26:47,620 --> 01:26:51,120 +وروح على ال heart و ال vena cava blood circulation + +984 +01:26:51,120 --> 01:26:55,840 +اللي بياخدوه اما بياخدوه على ال spleen ماشي و في + +985 +01:26:55,840 --> 01:27:00,320 +ال spleen ماشي اللي فيه antibody reproduction و + +986 +01:27:00,320 --> 01:27:07,160 +بتطلع على blood circulation و اما بتطلع from + +987 +01:27:07,160 --> 01:27:13,500 +different lymphatics وبالتالي بتلف مرة تانية into + +988 +01:27:13,500 --> 01:27:18,290 +circulationالجهة دي أول طريقة عن طريق الدم تروح + +989 +01:27:18,290 --> 01:27:21,950 +على ال spring عن طريق ال tissue ايه ب dermal او + +990 +01:27:21,950 --> 01:27:27,410 +dermal او subcutaneous بيخش طبعا هي محلاها دغري ال + +991 +01:27:27,410 --> 01:27:31,870 +afferent lymphatic بيتولاها بياخدها على ال lymph + +992 +01:27:31,870 --> 01:27:36,230 +nodes و هي بتطلع من ال efferents و هناك مرة تانية + +993 +01:27:36,230 --> 01:27:40,030 +على T circulation او بتتنشط ال T cell بتنشط بي + +994 +01:27:40,030 --> 01:27:46,560 +cell و بتطلعنا اللي هو ال B lymphocyteأو الطريقة + +995 +01:27:46,560 --> 01:27:50,500 +التالتة هي تنسل الـ Pierce-patches التي مباشرة + +996 +01:27:50,500 --> 01:27:56,200 +تذهب إلى الإفران التلفاتيكي وتظهر مباشرة و هناك + +997 +01:27:56,200 --> 01:28:02,060 +ممكن تصبح تسل و antibody و B cell activation + +998 +01:28:04,570 --> 01:28:07,350 +Traffic of lymphocyte between lymphoid and non + +999 +01:28:07,350 --> 01:28:11,950 +-lymphoid tissues يتأكد من انه على اكسبوزيا لأنتجن + +1000 +01:28:11,950 --> 01:28:16,370 +الانتجن و الانفسايت المحددة لهذا الانتجن هم مجلدين + +1001 +01:28:16,370 --> 01:28:22,310 +في الانفسايت 100% موجود حسب خط سيرة اللتي حكيناها + +1002 +01:28:22,310 --> 01:28:26,130 +الانفسايت والانتجن الاتنين لازم يحشروا في مكان + +1003 +01:28:26,130 --> 01:28:34,200 +واحد ويوم ما يصير فيه التقاء ما بين الانتجن والسوف + +1004 +01:28:34,200 --> 01:28:40,380 +تتحرك و تتحرك و تتحرك و + +1005 +01:28:40,380 --> 01:28:53,390 +تتحرك و تتحرك و تتحرك و تتحرك و تتحرك و تتحركWhere + +1006 +01:28:53,390 --> 01:28:57,250 +antigen persist يعني يوم يدخل الانتجين مرة تانية + +1007 +01:28:57,250 --> 01:29:02,330 +تتركز في مكان ولود الانتجين and الذات بنيز exert + +1008 +01:29:02,330 --> 01:29:07,050 +their protective function وطبعا هناك بتشتغل كخلية + +1009 +01:29:07,050 --> 01:29:11,790 +مناقية شو دور الانتجين ايه شو مصير الانتجين fate + +1010 +01:29:11,790 --> 01:29:16,470 +of الانتجين after penetration كان ال reticulum in + +1011 +01:29:16,470 --> 01:29:19,970 +the cellular system trap for الانتجين بيصير عملية + +1012 +01:29:19,970 --> 01:29:26,350 +صيد للانتجينفي الـ reticulum of the thala system و + +1013 +01:29:26,350 --> 01:29:31,150 +هذا بيؤدي الى engulfment يعني degradation by + +1014 +01:29:31,150 --> 01:29:35,390 +phagocytosis and + +1015 +01:29:35,390 --> 01:29:38,250 +there is constant movement of lymphocyte استمرار + +1016 +01:29:38,250 --> 01:29:40,610 +في ال lymphocyte قاعدة بتتحرك تعمل homing + +1017 +01:29:46,010 --> 01:29:50,770 +ان يصلهم لـ Deposition في مواقع حساسة و استراتيجية + +1018 +01:29:50,770 --> 01:29:56,230 +في الـ lymphatic vessels الـ system also provide + +1019 +01:29:56,230 --> 01:30:02,450 +لصائم و هي secondary lymphoid organs اللي فيها T و + +1020 +01:30:02,450 --> 01:30:07,610 +فيها B lymphocytes they can interact with within a + +1021 +01:30:07,610 --> 01:30:12,390 +very small area to initiate اللي هو اللي هي + +1022 +01:30:12,390 --> 01:30:16,980 +germinal center and immune responseالثلاثه طريقه + +1023 +01:30:16,980 --> 01:30:21,700 +ممكن تتبع من طريق انتجين بعد انه ادخل في داخل + +1024 +01:30:21,700 --> 01:30:27,760 +الجسم تلاته اذا + +1025 +01:30:27,760 --> 01:30:32,900 +انتجين دخل الجسم من خلال نشاط الدموهي تدخل إلى + +1026 +01:30:32,900 --> 01:30:36,480 +الـSpleen، يعني إذا دخل عن طريق bloodstream، يذهب + +1027 +01:30:36,480 --> 01:30:39,160 +إلى الـSpleen، وفي الـSpleen يوجد Antigen + +1028 +01:30:39,160 --> 01:30:42,060 +Presenting Cell متمثلة الـDendritic Cell + +1029 +01:30:42,060 --> 01:30:46,000 +ومونوسايدس وB-Lymphocytes، كلهم بيشتغلوا كAntigen + +1030 +01:30:46,000 --> 01:30:51,680 +Presenting Cell that activate Antigen-specific T + +1031 +01:30:51,680 --> 01:30:57,270 +-Lymphocytesوبالتالي بيبدأ تتنشط خلايا الـ B + +1032 +01:30:57,270 --> 01:31:00,130 +-lymphocyte وتكون انها antibody which can be + +1033 +01:31:00,130 --> 01:31:04,150 +released in the circulation.Lymphocyte then leave + +1034 +01:31:04,150 --> 01:31:08,630 +the spleen through efferent lymphatic to re-enter + +1035 +01:31:08,630 --> 01:31:11,310 +the circulation via the thoracic belt. بعد ذلك + +1036 +01:31:11,310 --> 01:31:15,470 +خلاص بتطلع و تروح تتدور على أنتجين تاني. + +1037 +01:31:21,120 --> 01:31:24,820 +الطريق التاني اللي بيخش الانتجين يتجمد في ديارمال + +1038 +01:31:24,820 --> 01:31:27,300 +أو ديارمال أو ديارمال أو ديارمال أو ديارمال أو + +1039 +01:31:27,300 --> 01:31:28,100 +ديارمال أو ديارمال أو ديارمال أو ديارمال أو + +1040 +01:31:28,100 --> 01:31:34,560 +ديارمال أو ديارمال + +1041 +01:31:34,560 --> 01:31:42,640 +أوThe epidermal اللي هو صب كيوتين يسلي بتتصدى ال + +1042 +01:31:42,640 --> 01:31:46,840 +antigen presenting cell بتتصدى لل antigen بتاخده و + +1043 +01:31:46,840 --> 01:31:50,040 +إما بتعمله فاجوة cytosis و بتجتله و إما بتاخده على + +1044 +01:31:50,040 --> 01:31:54,190 +ال secondary lymphoid organعندما يكون الانتجين + +1045 +01:31:54,190 --> 01:31:56,810 +مخطط من خلال جسم الانتجين المواصل للسلطات مثل + +1046 +01:31:56,810 --> 01:32:01,850 +اليوم ماتسيدو تتاخد ويتم تحميله من خلال الاخران + +1047 +01:32:01,850 --> 01:32:09,570 +اللينفنود من خلال الاخران الليمفاتيكي وفي + +1048 +01:32:09,570 --> 01:32:14,070 +الليمفنود الانتجين والمونوسايد والسلطات + +1049 +01:32:14,070 --> 01:32:19,360 +الليمفاتيكيو الـ T-cell و الـ B-cell كلهم اتفاقوا + +1050 +01:32:19,360 --> 01:32:23,200 +لتنمية المعاركة يبقى هاي الـ two routes الأولاني + +1051 +01:32:23,200 --> 01:32:26,140 +عن طريق الـ spleen تخش على الدم و الدم أخده عن + +1052 +01:32:26,140 --> 01:32:29,320 +طريق الـ spleen على الـ spleen و هناك سرعت الإياش + +1053 +01:32:29,320 --> 01:32:34,920 +المعاركة التاني subcutaneously كفي antipresenting + +1054 +01:32:34,920 --> 01:32:38,560 +cell قاعدة تستنية تاخده تعمل ع ال degradation و .. + +1055 +01:32:38,560 --> 01:32:41,640 +أو تاخده على ال secondary lymphoid organs و هناك + +1056 +01:32:41,640 --> 01:32:43,480 +برضه تتم الإياش المعاركة + +1057 +01:32:45,830 --> 01:32:49,330 +الشيء المميز بالنسبة للأنتيجين هو أن الأنتيبوديات + +1058 +01:32:49,330 --> 01:32:53,450 +اللي كانت تتسيطر على الريفنون تدخل تلك المدارس من + +1059 +01:32:53,450 --> 01:32:56,270 +خلال الـ thrusting duct بعد ذلك تطلع 100% من خلال + +1060 +01:32:56,270 --> 01:33:00,610 +الـ thrusting duct تدخل على الفيناكابا والهارد + +1061 +01:33:00,610 --> 01:33:04,410 +الانتيجين يمكن أن يدخل الجاستر و الانتستينار أو + +1062 +01:33:04,410 --> 01:33:10,190 +الاسبيراطري ترامي وهنا بيصير الواجهة في الجسد + +1063 +01:33:10,190 --> 01:33:13,110 +النيوكوزال المرتبط بالتشوية الريفنون + +1064 +01:33:22,460 --> 01:33:29,700 +انتباطيات موجودة في الانفسايت اللوكال والانفسايت + +1065 +01:33:29,700 --> 01:33:35,040 +اللوكال تدخل عن طريق الاخران اللينفاتيك التنين + +1066 +01:33:35,710 --> 01:33:39,010 +بيروحوا على الـ thoracic duct to the circulation + +1067 +01:33:39,010 --> 01:33:42,330 +and redistributed to various tissues وبتوزعوا على + +1068 +01:33:42,330 --> 01:33:46,750 +كل أنحاء الجسم يعني بعد ما يتولد ال antibody و ال + +1069 +01:33:46,750 --> 01:33:50,550 +lymphocytes فيه تتنشط في ال secondary lymphoid + +1070 +01:33:50,550 --> 01:33:54,770 +organs تطلع من خلال different lymphatic venules + +1071 +01:33:54,770 --> 01:33:59,470 +على ال thoracic duct و من ال thoracic duct على + +1072 +01:33:59,470 --> 01:34:02,550 +الvena cava و ال heart و ال heart بوزح على كل + +1073 +01:34:02,550 --> 01:34:11,380 +أنحاء الجسممن خلال الـ map هذه عبارة عن اللي هو + +1074 +01:34:11,380 --> 01:34:17,020 +figure بيبين لي العلاقة المشتركة ما بين ال innate + +1075 +01:34:17,020 --> 01:34:20,760 +و ال acquired immunity شايفين ال innate من فوق ده + +1076 +01:34:20,760 --> 01:34:25,420 +هي تتكون من هاي ال innate component ال physical + +1077 +01:34:25,420 --> 01:34:29,040 +barrierالـ cells و ال chemicals فده هي لإن ال + +1078 +01:34:29,040 --> 01:34:31,380 +physical barrier متمثلة بال skin و ال mucous + +1079 +01:34:31,380 --> 01:34:35,600 +membrane ال cells متمثلة بال polymorphic nuclear و + +1080 +01:34:35,600 --> 01:34:38,480 +ال phagocystic cell بأنواعها ال chemical barrier + +1081 +01:34:38,480 --> 01:34:43,700 +زي بي اتشه level و ال enzyme مظبوط + +1082 +01:34:43,700 --> 01:34:44,880 +تحت + +1083 +01:34:47,260 --> 01:34:51,220 +الـ Acquired Immunity متمثلة من الـ Antigen + +1084 +01:34:51,220 --> 01:34:56,640 +Specific Receptors سلز زي الـ B سل والـ T سل واحدة + +1085 +01:34:56,640 --> 01:35:01,520 +بتفرز Lيه؟ الـ B سل بتفرز Antibody والـ T سل بتفرز + +1086 +01:35:01,520 --> 01:35:07,830 +Cytokine للاتنين ممكن ينشطوا للـ Ankyselطبعا فوق + +1087 +01:35:07,830 --> 01:35:10,330 +زى ما انتوا شايفين كل الخلايا دى ممكن تفرش + +1088 +01:35:10,330 --> 01:35:14,010 +cytokine ال cytokine تنشط لـ adaptive immunity + +1089 +01:35:14,010 --> 01:35:19,490 +اللى ايضا ممكن تطلع لنا antibody او cytokine نشطه + +1090 +01:35:19,490 --> 01:35:26,310 +للخلايا دى كلها سواء فجو سيدوسي أو انكسل active + +1091 +01:35:26,310 --> 01:35:31,870 +activation cell فبهيك + +1092 +01:35:31,870 --> 01:35:38,370 +بنكون ان شاء الله يعنى مرينابشكل سريع على الأدوات + +1093 +01:35:38,370 --> 01:35:43,750 +المنعية تبع الانيت وتبع ال adaptive immune + +1094 +01:35:43,750 --> 01:35:50,090 +response نشكر لكم حسن الاستماع والسلام عليكم + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..8997909f13d362ed6b1bc4d7ce8d27ea9fcee4f1 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/jzM0Qz8m2cA_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 3123, "start": 2.63, "end": 31.23, "text": "بسم الله الرحمن الرحيم اليوم حضرتنا على elements of innate and acquired immunity هنتكلم ان شاء الله على الأدوات المناعية لل innate و ال acquired immunity طبعا ال innate immunity", "tokens": [3555, 38251, 21984, 34892, 5016, 27842, 34892, 5016, 32640, 45595, 20498, 11331, 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So one can outside the cell or within different cellular compartment.", "tokens": [3224, 3215, 12610, 3660, 14739, 14407, 3615, 2423, 5102, 11150, 32264, 293, 341, 3683, 4914, 295, 264, 32264, 5586, 300, 264, 41766, 11992, 1185, 393, 4196, 281, 4532, 650, 4032, 9957, 15042, 25961, 13, 407, 472, 393, 2380, 264, 2815, 420, 1951, 819, 29267, 26505, 13], "avg_logprob": -0.286236712273131, "compression_ratio": 1.3369565217391304, "no_speech_prob": 0.0, "words": [{"start": 2274.5600000000004, "end": 2275.3, "word": "هدولة", "probability": 0.724853515625}, {"start": 2275.3, "end": 2276.04, "word": " أنواع", "probability": 0.9308268229166666}, {"start": 2276.04, "end": 2276.22, "word": " ال", "probability": 0.806640625}, {"start": 2276.22, "end": 2276.48, "word": " pattern", "probability": 0.65869140625}, {"start": 2276.48, "end": 2277.22, "word": " recognition", "probability": 0.9658203125}, {"start": 2277.22, "end": 2278.04, "word": " receptor", "probability": 0.68798828125}, {"start": 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alveoli و الفيكولين موجود في البلازما و كما تشاهدون هؤلاء يتعرفون في الرياكتب روتين بيتعرف على microbial phosphorealcholine and phosphatidylethanolamine موليكيول لـ PAMS", "tokens": [10721, 1829, 11242, 995, 3714, 29245, 23328, 8978, 29739, 1211, 31377, 15042, 2423, 419, 303, 9384, 4032, 27188, 1829, 4117, 12610, 9957, 3714, 29245, 23328, 8978, 29739, 1211, 31377, 15042, 4032, 9122, 15042, 6055, 8592, 40294, 3215, 11536, 8032, 33604, 1211, 16606, 7251, 2655, 3615, 28480, 11536, 8978, 2423, 16572, 995, 4117, 2655, 3555, 12602, 35473, 9957, 4724, 36081, 3615, 28480, 15844, 49713, 831, 19775, 418, 304, 339, 18773, 293, 19775, 267, 327, 5088, 3293, 282, 401, 18929, 3714, 12610, 1829, 4117, 1829, 12610, 5296, 39184, 430, 2865, 50], "avg_logprob": -0.5413194259007772, "compression_ratio": 1.5520833333333333, "no_speech_prob": 5.4836273193359375e-06, "words": [{"start": 2409.84, "end": 2411.0, "word": "أيضا", "probability": 0.6792526245117188}, {"start": 2411.0, "end": 2411.86, "word": " 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تحتوي على certain antibiotic protein و غالبا بيخزن على شاكلتين الشاكلة الأولى هي عبارة عن primary او بيسموها zoophilic granules تحتوي على lysozyme containing acid hydrolysis mylohexidase", "tokens": [6027, 993, 16174, 6055, 3555, 34268, 11296, 20328, 17082, 48923, 2099, 12, 46554, 39894, 3615, 1829, 8592, 7251, 20498, 9957, 5296, 2655, 1211, 2655, 36632, 10943, 4032, 5296, 33456, 2423, 9370, 3473, 6055, 3555, 34268, 11296, 6055, 33753, 45865, 15844, 1629, 37828, 7944, 4032, 32771, 6027, 3555, 995, 4724, 1829, 9778, 11622, 1863, 15844, 13412, 995, 28820, 2655, 9957, 25124, 995, 28820, 3660, 16247, 12610, 7578, 39896, 6225, 3555, 9640, 3660, 18871, 6194, 1975, 2407, 4724, 1829, 38251, 2407, 11296, 5721, 5317, 388, 299, 9370, 3473, 6055, 33753, 45865, 15844, 17293, 539, 1229, 1398, 19273, 8258, 15435, 356, 17122, 452, 752, 675, 87, 327, 651], "avg_logprob": -0.26046580019986854, "compression_ratio": 1.534136546184739, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 3373.95, 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الأكتوفرين", "probability": 0.6775919596354166}, {"start": 3412.93, "end": 3414.45, "word": " والإيزوزاين", "probability": 0.7217881944444444}, {"start": 3414.45, "end": 3418.97, "word": ".Tendritic", "probability": 0.47626953125}, {"start": 3418.97, "end": 3419.25, "word": " cell", "probability": 0.79638671875}, {"start": 3419.25, "end": 3420.77, "word": " هي", "probability": 0.339111328125}, {"start": 3420.77, "end": 3420.93, "word": " عبارة", "probability": 0.96337890625}, {"start": 3420.93, "end": 3421.07, "word": " عن", "probability": 0.99560546875}, {"start": 3421.07, "end": 3421.29, "word": " long", "probability": 0.274658203125}, {"start": 3421.29, "end": 3421.69, "word": "-lived", "probability": 0.79150390625}, {"start": 3421.69, "end": 3423.23, "word": " cell", "probability": 0.955078125}, {"start": 3423.23, "end": 3423.79, "word": " and", "probability": 0.481689453125}, {"start": 3423.79, "end": 3423.95, "word": " it", "probability": 0.93212890625}, {"start": 3423.95, "end": 3424.47, "word": " resides", "probability": 0.90625}, {"start": 3424.47, "end": 3424.87, "word": " in", "probability": 0.93701171875}, {"start": 3424.87, "end": 3425.57, "word": " immature", "probability": 0.81005859375}, {"start": 3425.57, "end": 3426.33, "word": " state", "probability": 0.94189453125}, {"start": 3426.33, "end": 3426.61, "word": " in", "probability": 0.7919921875}, {"start": 3426.61, "end": 3426.89, "word": " most", "probability": 0.91650390625}, {"start": 3426.89, "end": 3427.41, "word": " tissues.", "probability": 0.445068359375}], "temperature": 1.0}, {"id": 134, "seek": 345391, "start": 3431.41, "end": 3453.91, "text": "على ال pathogen الولوفاجو سايتوسيز and they are found as interdigitating cell of the thymus ال interdigitating cell هي عبارة عن الخلايا التي تقدم ال MHC molecule لل T lymphocyte في مراحل مبكرة جدا حتى تتعرف عليه", "tokens": [3615, 23942, 2423, 3100, 8799, 2423, 12610, 38688, 26108, 2407, 8608, 995, 36081, 41779, 1829, 11622, 293, 436, 366, 1352, 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{"start": 3444.47, "end": 3445.19, "word": " هي", "probability": 0.81982421875}, {"start": 3445.19, "end": 3445.45, "word": " عبارة", "probability": 0.928955078125}, {"start": 3445.45, "end": 3445.63, "word": " عن", "probability": 0.99462890625}, {"start": 3445.63, "end": 3446.33, "word": " الخلايا", "probability": 0.904296875}, {"start": 3446.33, "end": 3446.91, "word": " التي", "probability": 0.80419921875}, {"start": 3446.91, "end": 3447.75, "word": " تقدم", "probability": 0.9724934895833334}, {"start": 3447.75, "end": 3448.05, "word": " ال", "probability": 0.85888671875}, {"start": 3448.05, "end": 3448.75, "word": " MHC", "probability": 0.58837890625}, {"start": 3448.75, "end": 3449.35, "word": " molecule", "probability": 0.6728515625}, {"start": 3449.35, "end": 3449.59, "word": " لل", "probability": 0.380615234375}, {"start": 3449.59, "end": 3449.71, "word": " T", "probability": 0.1768798828125}, {"start": 3449.71, "end": 3450.43, "word": " lymphocyte", "probability": 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Both are derived from the same hemoglobin precursor as monocytes. 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"word": " ده", "probability": 0.8076171875}, {"start": 3914.49, "end": 3914.81, "word": " هو", "probability": 0.96826171875}, {"start": 3914.81, "end": 3915.53, "word": " متمثلين", "probability": 0.9736328125}, {"start": 3915.53, "end": 3915.91, "word": " بالخط", "probability": 0.97900390625}, {"start": 3915.91, "end": 3916.47, "word": " الأحمر", "probability": 0.9796549479166666}, {"start": 3916.47, "end": 3917.75, "word": " عليها", "probability": 0.96728515625}, {"start": 3917.75, "end": 3918.49, "word": " Gemotactic", "probability": 0.6282552083333334}, {"start": 3918.49, "end": 3919.13, "word": " Receptors", "probability": 0.9552408854166666}, {"start": 3919.13, "end": 3919.91, "word": " متمثلين", "probability": 0.9787109375}, {"start": 3919.91, "end": 3921.43, "word": " بالموف", "probability": 0.677978515625}, {"start": 3921.43, "end": 3921.71, "word": " هذا", "probability": 0.64208984375}, {"start": 3921.71, "end": 3923.37, "word": " عليها", "probability": 0.943359375}, {"start": 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{"id": 153, "seek": 398208, "start": 3954.22, "end": 3982.08, "text": "ماذا يحدث؟ جاء الـActivating طبعاً ده هو الـInhibitor الـCentral هو بره الـCentral في الامة C Class I موليكيوم يوم يكون موجود لما الـC Class I موليكيوم يروحوا مرتبط بالـKIR ارتباطه بالـKIR بنشط اللي هو Phosphatase enzyme", "tokens": [2304, 45636, 995, 7251, 24401, 12984, 22807, 10874, 16606, 2423, 39184, 30338, 592, 990, 23032, 3555, 3615, 995, 14111, 11778, 3224, 31439, 2423, 39184, 4575, 5455, 3029, 2423, 39184, 34, 317, 2155, 31439, 4724, 2288, 3224, 2423, 39184, 34, 317, 2155, 8978, 2423, 10943, 3660, 383, 9471, 286, 3714, 12610, 1829, 4117, 1829, 20498, 7251, 20498, 7251, 30544, 3714, 29245, 23328, 5296, 15042, 2423, 39184, 34, 9471, 286, 3714, 12610, 1829, 4117, 1829, 20498, 7251, 32887, 5016, 14407, 3714, 43500, 3555, 9566, 20666, 39184, 42, 7740, 1975, 43500, 3555, 41193, 3224, 20666, 39184, 42, 7740, 44945, 8592, 9566, 13672, 1829, 31439, 2623, 16378, 267, 651, 24521], "avg_logprob": -0.33352805019539095, 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"probability": 0.7061360677083334}, {"start": 3961.76, "end": 3962.2, "word": " الـCentral", "probability": 0.821875}, {"start": 3962.2, "end": 3962.34, "word": " في", "probability": 0.61474609375}, {"start": 3962.34, "end": 3962.52, "word": " الامة", "probability": 0.496826171875}, {"start": 3962.52, "end": 3962.74, "word": " C", "probability": 0.59130859375}, {"start": 3962.74, "end": 3963.0, "word": " Class", "probability": 0.47216796875}, {"start": 3963.0, "end": 3963.16, "word": " I", "probability": 0.6650390625}, {"start": 3963.16, "end": 3963.66, "word": " موليكيوم", "probability": 0.7587483723958334}, {"start": 3963.66, "end": 3966.8, "word": " يوم", "probability": 0.772705078125}, {"start": 3966.8, "end": 3968.1, "word": " يكون", "probability": 0.871826171875}, {"start": 3968.1, "end": 3968.62, "word": " موجود", "probability": 0.9767252604166666}, {"start": 3968.62, "end": 3970.5, "word": " لما", "probability": 0.859619140625}, {"start": 3970.5, "end": 3970.74, "word": " الـC", "probability": 0.8318684895833334}, {"start": 3970.74, "end": 3971.02, "word": " Class", "probability": 0.9189453125}, {"start": 3971.02, "end": 3971.24, "word": " I", "probability": 0.97265625}, {"start": 3971.24, "end": 3971.72, "word": " موليكيوم", "probability": 0.978271484375}, {"start": 3971.72, "end": 3972.12, "word": " يروحوا", "probability": 0.7518310546875}, {"start": 3972.12, "end": 3972.56, "word": " مرتبط", "probability": 0.9825439453125}, {"start": 3972.56, "end": 3973.52, "word": " بالـKIR", "probability": 0.8629150390625}, {"start": 3973.52, "end": 3975.22, "word": " ارتباطه", "probability": 0.9630859375}, {"start": 3975.22, "end": 3976.1, "word": " بالـKIR", "probability": 0.94775390625}, {"start": 3976.1, "end": 3976.92, "word": " بنشط", "probability": 0.8577473958333334}, {"start": 3976.92, "end": 3977.9, "word": " اللي", "probability": 0.829345703125}, {"start": 3977.9, "end": 3978.38, "word": " هو", "probability": 0.99267578125}, {"start": 3978.38, "end": 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اليوم + +2 +00:00:08,970 --> 00:00:12,030 +حضرتنا على elements of innate and acquired + +3 +00:00:12,030 --> 00:00:19,990 +immunity هنتكلم + +4 +00:00:19,990 --> 00:00:26,930 +ان شاء الله على الأدوات المناعية لل innate و ال + +5 +00:00:26,930 --> 00:00:31,230 +acquired immunity طبعا ال innate immunity + +6 +00:00:33,770 --> 00:00:38,410 +بتمثل الـ first line defense mechanism against + +7 +00:00:38,410 --> 00:00:42,910 +pathogen وفي منها cellular part وفي منها physical + +8 +00:00:42,910 --> 00:00:49,030 +part وفي منها soluble secretion part طبعا هدولة + +9 +00:00:49,030 --> 00:00:54,570 +موجودين since birth وغالبا بكونوا اما موجودين in + +10 +00:00:54,570 --> 00:00:58,150 +their fully functional states or they are rapidly + +11 +00:00:58,150 --> 00:01:03,580 +activated once antigen is enteredالـ figure اللي + +12 +00:01:03,580 --> 00:01:08,520 +قدامنا بيبين لنا الخلايا اللي بتدخل في ال innate + +13 +00:01:08,520 --> 00:01:12,820 +immunity و ال adaptive immunity و طبعا نظرة سريعة + +14 +00:01:12,820 --> 00:01:20,760 +تبين لنا أنه كل ال myeloid series or cells are + +15 +00:01:20,760 --> 00:01:26,660 +involved in innate immunity بينما ال lymphoid اللي + +16 +00:01:26,660 --> 00:01:31,560 +هي متمثلة بال B و ال D lymphocytesهي عبارة عن + +17 +00:01:31,560 --> 00:01:37,960 +خلايا involved in adaptive immunity و بدناش ننسى + +18 +00:01:37,960 --> 00:01:42,320 +ان ال two circles are overlapped بمعنى انه في + +19 +00:01:42,320 --> 00:01:46,760 +collaboration between innate and adaptive immunity + +20 +00:01:46,760 --> 00:01:53,270 +في بعض الخلايا بتشتغل هان و بتشتغل هانالفجر التاني + +21 +00:01:53,270 --> 00:01:58,390 +هذا بيبين ان ال kinetics of both innate and + +22 +00:01:58,390 --> 00:02:02,810 +adaptive immunity واضح جدا ان ال innate immunity + +23 +00:02:02,810 --> 00:02:06,270 +is faster than the adaptive immunity + +24 +00:02:09,360 --> 00:02:14,380 +be activated بينما ال adaptive immunity takes days + +25 +00:02:14,380 --> 00:02:20,500 +وصل ل seven days as incubation period لغاية ما ال + +26 +00:02:20,500 --> 00:02:23,660 +B lymphocyte و ال T lymphocyte تتنشط و تدينا + +27 +00:02:23,660 --> 00:02:29,740 +either antibody or effector cell نبدأ بال innate + +28 +00:02:29,740 --> 00:02:34,360 +immunity و نشوف ايش اللي + +29 +00:02:41,030 --> 00:02:45,070 +الأدواتها طبعا some component of mammalian innate + +30 +00:02:45,070 --> 00:02:49,730 +immune system are remarkably similar to component + +31 +00:02:49,730 --> 00:02:52,470 +in the plant ده بيقدمها سريع بيقول ان innate + +32 +00:02:52,470 --> 00:02:55,230 +immunity اللي موجودة في الإنسان هي نفسها اللي + +33 +00:02:55,230 --> 00:02:59,010 +موجودة في الاش في ال plant و ال animal وجدوها بهذا + +34 +00:02:59,010 --> 00:03:02,650 +الموضوع و هذا دليل على انه ال .. ال .. + +35 +00:03:07,590 --> 00:03:14,930 +يعني منذ القدم موجودة في كل الكائنات الحالية for + +36 +00:03:14,930 --> 00:03:17,650 +example peptides that are toxic to bacteria and + +37 +00:03:17,650 --> 00:03:25,130 +fungi بيسموها defensin they are found as them they + +38 +00:03:25,130 --> 00:03:30,010 +are found in plants and mammalsويلهم نفس ال + +39 +00:03:30,010 --> 00:03:33,450 +structure terrestrial structure in both life forms + +40 +00:03:33,450 --> 00:03:40,590 +يعني سواء كانت في ال plant ولا كانت في المملس ال + +41 +00:03:40,590 --> 00:03:43,550 +innate immunity جاله بتلعب دور كبير في تلات مواقع + +42 +00:03:43,550 --> 00:03:51,510 +أساسية it's initial initially respond to my group + +43 +00:03:54,760 --> 00:04:02,280 +or even eliminate infection of the body وده متمثل + +44 +00:04:02,280 --> 00:04:07,120 +بالغالب بال physical لكن in infectionلأن الـ + +45 +00:04:07,120 --> 00:04:10,760 +Immunity Devices يبقى تحت المراقبة تحت المراقبة + +46 +00:04:10,760 --> 00:04:13,540 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +47 +00:04:13,540 --> 00:04:16,380 +المراقبة تحت المراقبة تحت المراقبة تحت المراقبة + +48 +00:04:16,380 --> 00:04:20,040 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +49 +00:04:20,040 --> 00:04:21,400 +المراقبة تحت المراقبة تحت المراقبة تحت المراقبة + +50 +00:04:21,400 --> 00:04:30,520 +تحت المراقبة تحت المراقبة تحت المراقبة تحت + +51 +00:04:30,520 --> 00:04:31,580 +المراقبة + +52 +00:04:39,420 --> 00:04:46,860 +الحالة التانية ان الانيت اميون ميكانزم غالبا ايضا + +53 +00:04:46,860 --> 00:04:49,360 +recognize damaged and dead cell + +54 +00:04:56,040 --> 00:05:02,620 +Tissue Repair System بوقع التالت اللي بتشتغل فيه + +55 +00:05:02,620 --> 00:05:06,020 +ال innate immunity انه it can stimulate adaptive + +56 +00:05:06,020 --> 00:05:09,300 +immunity and influence the nature of adaptive + +57 +00:05:09,300 --> 00:05:15,340 +immune response كمان بتحدد اللي هو ال response تبع + +58 +00:05:15,340 --> 00:05:19,820 +ال adaptive immune system اللي موجود + +59 +00:05:29,590 --> 00:05:33,410 +الـ innate immunity two major types of innate + +60 +00:05:33,410 --> 00:05:38,570 +immunity are presence المحصلة إما inflammation + +61 +00:05:38,570 --> 00:05:44,530 +يعني it can cause inflammatory reaction or the + +62 +00:05:44,530 --> 00:05:48,350 +final effect هو antiviral + +63 +00:05:50,690 --> 00:05:56,530 +محصلتها انفلاميشن يا اما محصلتها كانتفيرال في + +64 +00:05:56,530 --> 00:06:01,090 +الانفلاميشن + +65 +00:06:01,090 --> 00:06:06,390 +الانفلاميشن is a complex process غالبا initiated + +66 +00:06:06,390 --> 00:06:11,590 +by damaged tissue سببه endogenous factors على سبيل + +67 +00:06:11,590 --> 00:06:17,840 +المثال tissue necrosis or bone fractureالصينة + +68 +00:06:17,840 --> 00:06:21,740 +تحتوي على اتصال اتصال اتصال اتصال اتصال اتصال + +69 +00:06:21,740 --> 00:06:34,420 +اتصال اتصال اتصال اتصال اتصال اتصال + +70 +00:06:34,420 --> 00:06:42,460 +اتصال اتصال + +71 +00:06:46,130 --> 00:06:50,550 +الـ kynin effect و الآن هنتطرخ للـ kynin effect بس + +72 +00:06:50,550 --> 00:06:55,350 +من مظاهره انه بيصير فيه increase لل vascular + +73 +00:06:55,350 --> 00:06:58,530 +permeability و هذا بيقدر ال swelling وبالتالي + +74 +00:06:58,530 --> 00:07:02,410 +بيصير في عندنا pain sign of inflammation pain + +75 +00:07:02,410 --> 00:07:09,740 +redness heat swallowing andفي وظيفة خامسة ممكن + +76 +00:07:09,740 --> 00:07:14,600 +تتطرق لها هي loss of function بس مشروطة if persist + +77 +00:07:14,600 --> 00:07:18,720 +إذا استمرت ال infection بيصير في loss of function + +78 +00:07:18,720 --> 00:07:25,480 +الحاجة التانية أنه في acute phase protein ممكن + +79 +00:07:25,480 --> 00:07:31,860 +تنتج وينتج عنها activation of kinase or complement + +80 +00:07:31,860 --> 00:07:35,140 +system and a coagulation system + +81 +00:07:37,770 --> 00:07:44,590 +هذه صورة لإنفلاماتوري رياكشن ودور كل منها كما + +82 +00:07:44,590 --> 00:07:49,610 +تشاهدون هذه عبارة عن blood vessels lining with + +83 +00:07:49,610 --> 00:07:54,570 +endothelial cells اللي هي وظيفة مهمة جدا لـ + +84 +00:07:54,570 --> 00:07:57,070 +endothelial cell هي عبارة عن source of nitric acid + +85 +00:07:57,070 --> 00:08:02,590 +نيترك أكسيد و cytokine + +86 +00:08:04,410 --> 00:08:08,290 +وهي ال polymorphic nuclear cell اللي هتعمل + +87 +00:08:08,290 --> 00:08:13,270 +crowding في ال blood vessels وفي أيضا plasma + +88 +00:08:13,270 --> 00:08:18,110 +protein طبعا نيوتروفيل نعرف دورها ك phagocytic + +89 +00:08:18,110 --> 00:08:21,850 +cell بتعمل عملية phagocytosis ل micro or dead + +90 +00:08:21,850 --> 00:08:25,610 +tissue في plasma protein و ال plasma protein + +91 +00:08:25,610 --> 00:08:28,890 +نشهرها ال complement و ال coagulation factors طبعا + +92 +00:08:28,890 --> 00:08:33,040 +ال complementوظيفتها to eliminate the antigen و ال + +93 +00:08:33,040 --> 00:08:39,860 +coagulation factor بيعمل اللي هو أيضا + +94 +00:08:39,860 --> 00:08:45,560 +sealing وبالتالي ممنع دخول ال antigen lymphocytes + +95 +00:08:45,560 --> 00:08:51,410 +اعرف انه ال lymphocytes بتعمل immune responseوالـ + +96 +00:08:51,410 --> 00:08:54,830 +monocytes أساسها ميكروفيج اللى ممكن يعمل + +97 +00:08:54,830 --> 00:08:58,430 +phagocytosis وفي نفس الوقت تشتغل في تقدم ال + +98 +00:08:58,430 --> 00:09:04,310 +antigen لل ash لل T lymphocyte طبعا ال muscle أيضا + +99 +00:09:04,310 --> 00:09:10,090 +تفرز inflammatory mediators فوق 24 different types + +100 +00:09:10,090 --> 00:09:15,740 +بأشارها ال histamineكل التقشعه دى اللى بتصير فى ال + +101 +00:09:15,740 --> 00:09:19,400 +blood vessels due to inflammatory reaction ممكن + +102 +00:09:19,400 --> 00:09:22,960 +تنشط من خلال ال coagulation cascade ميكانزم ال + +103 +00:09:22,960 --> 00:09:26,500 +platelet ال .. ال .. ال coagulation cascade يعمل + +104 +00:09:26,500 --> 00:09:30,900 +clot formation ال complement activation يعمل + +105 +00:09:30,900 --> 00:09:35,180 +elimination لل .. لل antigen ال lymphocyte can be + +106 +00:09:35,180 --> 00:09:40,240 +activated و ممكن تعمل immune response يعنى ممكن زى + +107 +00:09:40,240 --> 00:09:40,740 +ما قلنا + +108 +00:09:45,170 --> 00:09:47,830 +وقولنا الـ innate immunity can control the + +109 +00:09:47,830 --> 00:09:51,850 +adaptive immunity من خلال تنشيطها طبعا تنشيطها + +110 +00:09:51,850 --> 00:09:59,410 +بتتم من خلال إفراز certain cytotype كاينين + +111 +00:09:59,410 --> 00:10:02,650 +effect زي ما اتفقنا هو عبارة عن + +112 +00:10:14,740 --> 00:10:18,600 +في مجلود ايضا ال infection او ال inflammation في + +113 +00:10:18,600 --> 00:10:21,980 +حالة ال inflammation بيبدأ يتصنع ال body kinin و + +114 +00:10:21,980 --> 00:10:25,420 +ال body kinin هو عبارة عن ال structure can cause + +115 +00:10:25,420 --> 00:10:29,180 +muscle contraction and stimulate nerve causing + +116 +00:10:29,180 --> 00:10:33,960 +pain فبيصير في muscle contraction و بالتالي بيضغط + +117 +00:10:33,960 --> 00:10:37,790 +على ال nerve و بيعمل painأد انكريز فاسكولار + +118 +00:10:37,790 --> 00:10:42,350 +permeability لأنه لما يحدث فيه عملية شد للخلايا + +119 +00:10:42,350 --> 00:10:46,010 +بتتبعد على الواعدة أو يحدث زيادة في ال + +120 +00:10:46,010 --> 00:10:50,990 +permeability فهذا بيؤدي إلى أيضا ال expression of + +121 +00:10:50,990 --> 00:10:55,130 +endothelial cell adhesion molecule الحاجة التانية + +122 +00:10:55,130 --> 00:10:58,950 +يقول إنها ال coagulation pathway formation of + +123 +00:10:58,950 --> 00:11:03,210 +physical barrier بتكون physical barrier تمنع ال + +124 +00:11:03,210 --> 00:11:07,910 +micro organism من دخوله إلى الدمand systemic + +125 +00:11:07,910 --> 00:11:14,470 +inflammatory response محصلة induction of fever في + +126 +00:11:14,470 --> 00:11:20,990 +اليوكوسيتوسيز لأنه يصير في استدعاء لكل white blood + +127 +00:11:20,990 --> 00:11:24,430 +cell في منطقة الحدث increase synthesis of + +128 +00:11:24,430 --> 00:11:29,630 +hydrocortisol and ACTH نتيجة نشاط بعض الخلايا + +129 +00:11:33,340 --> 00:11:36,980 +وزي ما قلنا في release of certain cytokine وطبعا + +130 +00:11:36,980 --> 00:11:40,640 +أشهر ال cytokine آية الواحد و آية الستة تقول بإن + +131 +00:11:40,640 --> 00:11:44,900 +autotumor necrosis factor Alpha كلهم بيطلعوا من ال + +132 +00:11:44,900 --> 00:11:51,160 +mono size ومحصلة نشاطهم induction of adhesion, + +133 +00:11:51,860 --> 00:11:55,460 +coagulation and increased vascular permeability + +134 +00:11:56,510 --> 00:12:01,050 +يبدأ الـ IL-1 و IL-6 human necrosis factor Alpha + +135 +00:12:01,050 --> 00:12:06,090 +كلهم يخرجون من الـ monocytes و محصلة وجودهم + +136 +00:12:06,090 --> 00:12:10,670 +induction of adhesion, coagulation and increased + +137 +00:12:10,670 --> 00:12:15,810 +vascular permeability بالنسبة للـ IL-8 are + +138 +00:12:15,810 --> 00:12:22,910 +cytokine and interferon Gamma interferon بيزيد ال + +139 +00:12:22,910 --> 00:12:27,360 +chemotaxis and phagocytosisوهي collectively كلهم + +140 +00:12:27,360 --> 00:12:31,020 +مع بعض يدو إلى accumulation of fluid في منطقة + +141 +00:12:31,020 --> 00:12:38,060 +الحدث يعني بنجوسين إدما و leukocytic cell in the + +142 +00:12:38,060 --> 00:12:43,620 +injured area مليانة بإيه ال leukocytes تخيلوا طبعا + +143 +00:12:43,620 --> 00:12:46,760 +زي ما انتوا شايفين acute inflammation يكون في + +144 +00:12:46,760 --> 00:12:55,010 +aisle 6 aisle 8 ال GCSRوonce chronic inflammation + +145 +00:12:55,010 --> 00:12:58,950 +occurs تخيلوا الأعداد الرهيبة من ال cytokine اللي + +146 +00:12:58,950 --> 00:13:02,910 +can be released ودي محصلتها تنشيط عدد كبير من + +147 +00:13:02,910 --> 00:13:06,490 +الخلايا وزي ما قلتلكوا inflammation محصلته في + +148 +00:13:06,490 --> 00:13:09,370 +النهاية في ال chronic inflammation بيصير في loss + +149 +00:13:09,370 --> 00:13:15,910 +of function لل organ involved ال cytokine اللي في + +150 +00:13:15,910 --> 00:13:18,350 +ال innate immunity زي ما انتوا شايفينها دي قائمة + +151 +00:13:18,350 --> 00:13:22,380 +طويلة عريضة لل cytokine which are releasedفي الـ + +152 +00:13:22,380 --> 00:13:26,060 +innate immunity فهي tumor necrosis factor بيطلع من + +153 +00:13:26,060 --> 00:13:33,020 +ال macrophage و ال T cell و بيعمل activation لل + +154 +00:13:33,020 --> 00:13:37,520 +endothelial cell and coagulation cascade mechanism + +155 +00:13:37,520 --> 00:13:42,420 +و طبعا بنشط ال metrophil و ال hypothalamus بيطلعنا + +156 +00:13:42,420 --> 00:13:49,760 +فيبر و هكذا Interleukin 1 بيطلع من ال macrophage + +157 +00:13:50,770 --> 00:13:56,690 +والـ endothelial cell يسمى Epithelial و أيضا + +158 +00:13:56,690 --> 00:14:01,530 +كيماكروسيس فاكتور كيموكاينه بيطلع من ال macro + +159 +00:14:01,530 --> 00:14:04,370 +phage و ال endothelial cell بتيسل فيبرو بلاست + +160 +00:14:04,370 --> 00:14:13,110 +بليتلت و هو طبعا بنشط ال leukocytes و بالذات + +161 +00:14:13,110 --> 00:14:17,590 +الفلوسايتف مثلا كيمو تاكسز مثلا activation مثلا + +162 +00:14:17,590 --> 00:14:22,690 +migration to the tissueInterleukin-12 بيطلع من + +163 +00:14:22,690 --> 00:14:25,370 +ماكروفيجي ودنتر تكسيل ونفس الشيء دي اللي بقى one + +164 +00:14:25,370 --> 00:14:29,350 +type one interferon alpha و beta بيطلع من + +165 +00:14:29,350 --> 00:14:33,010 +ماكروفيجي وfibroblast وfibroblast non specific + +166 +00:14:33,010 --> 00:14:38,370 +فجوز تكسيل انما ال ماكروفيجي طلع الحياة دور كبير ك + +167 +00:14:38,370 --> 00:14:43,730 +antiviralطلوكن عشرة homodiamer بيطلع من ال macro + +168 +00:14:43,730 --> 00:14:48,290 +phase و ال T cell انطلوكن ستان بيطلع من ال macro + +169 +00:14:48,290 --> 00:14:50,950 +phase و ال endothelial cell و بيعمل acute phase + +170 +00:14:50,950 --> 00:14:55,470 +protein طلوكن خمستاشر macro phase and others و هي + +171 +00:14:55,470 --> 00:15:01,640 +من أشهر تلنا ال NK cellانت لوك 18 بطلع من ال macro + +172 +00:15:01,640 --> 00:15:09,780 +phase و بنشط عن K cell و T cell 23 من macro phase + +173 +00:15:09,780 --> 00:15:15,010 +و dendritic cell T cellactivation بالذات IL-17 + +174 +00:15:15,010 --> 00:15:20,670 +producing T cell 27 طبعا بيطلع من micro facial + +175 +00:15:20,670 --> 00:15:24,830 +dendritic cell و بتتنشر T helper واحد بسلقه + +176 +00:15:24,830 --> 00:15:29,410 +differentiation و بيصير في inhibition ل T helper + +177 +00:15:29,410 --> 00:15:37,510 +one و activation ل T helper two و هكذا شو + +178 +00:15:37,510 --> 00:15:46,210 +اللي بيصيرلما بيدخل ميكروب وماهي القالية للتخلص + +179 +00:15:46,210 --> 00:15:49,830 +منه هو زى ما انتوا شايفين في عندنا خلايا منعية + +180 +00:15:49,830 --> 00:15:53,950 +داخلة في ال innate immunity على سطح ال receptor و + +181 +00:15:53,950 --> 00:15:56,890 +اشهر ال receptor اللى موجودة زى ال mannose like + +182 +00:15:56,890 --> 00:16:00,810 +receptor, scavenger receptor, antigen receptor + +183 +00:16:00,810 --> 00:16:03,190 +طبعا برتبته بال antigen + +184 +00:16:06,270 --> 00:16:13,350 +بيخلصونا منه طبعا عملية التخلص ببساطة بيصير فيه + +185 +00:16:13,350 --> 00:16:20,770 +invagination سواء كان by receptor mediated او by + +186 +00:16:20,770 --> 00:16:26,950 +pseudobot و هي بيبدأ يتكون الفاجوزوم تخش جوا ال + +187 +00:16:26,950 --> 00:16:35,560 +microbesفي داخل فاجو زوم و هي الفاجو زوم فيه + +188 +00:16:35,560 --> 00:16:41,300 +بيرتبط او الفاجو + +189 +00:16:41,300 --> 00:16:51,040 +زوم بيرتطم بالعيزو زوم و بيكونوا one فاجو + +190 +00:16:51,040 --> 00:16:58,120 +زوم بيسموه فاجو العيزو زومو طبعا هنا ببدأ اداش ال + +191 +00:16:58,120 --> 00:17:03,400 +killing للميكروب من خلال اللي هو different + +192 +00:17:03,400 --> 00:17:10,460 +mechanism و بيصير في عمل طبعا من خلال different + +193 +00:17:10,460 --> 00:17:16,620 +mechanism اما by formation of reactive oxygen + +194 +00:17:16,620 --> 00:17:21,240 +species او زي ما هو مكتوب هنا بين في ال mechanism + +195 +00:17:21,240 --> 00:17:27,700 +او by nitric oxideهي الجامعه الارجينين في وجود + +196 +00:17:27,700 --> 00:17:34,460 +انيساطيل سنتاتيز بتدينها اناترك اكسايد او بالتالي + +197 +00:17:34,460 --> 00:17:42,380 +بيقتل الميكروب بهذا الميكانسم اندو سايتوسيتز اندو + +198 +00:17:42,380 --> 00:17:48,420 +سايتوسيتز هي عملية انجيشن of مايكرو موليكيول موجود + +199 +00:17:48,420 --> 00:17:48,720 +برا + +200 +00:17:55,120 --> 00:17:58,580 +Invagination مثلما قلنا سابقاً فيه Invagination او + +201 +00:17:58,580 --> 00:18:03,640 +برسيبتور Mediated Endocytosis لما يمسك الانتجن + +202 +00:18:03,640 --> 00:18:08,240 +بالرسيبتور على صفحه الخضرية ويبدأ تتكون Endocytic + +203 +00:18:08,240 --> 00:18:15,480 +-physical ثم Endosome-Lysosome وفي النهاية يتكسر + +204 +00:18:15,480 --> 00:18:21,460 +الميكروب الفاغوسايتوسيز + +205 +00:18:21,460 --> 00:18:26,800 +هي عبارة عن type of endocytosisوهي برضه بيصير فيه + +206 +00:18:26,800 --> 00:18:29,300 +ingestion of invading particles بكتيريا او + +207 +00:18:29,300 --> 00:18:35,840 +phagocytic by phagocytic cell usually ال + +208 +00:18:35,840 --> 00:18:42,680 +phagocytosis enhanced or is aided by opsinin غالبا + +209 +00:18:42,680 --> 00:18:45,880 +ال opsinin يعني عبارة عن antibody or complement + +210 +00:18:45,880 --> 00:18:49,980 +component بيجي قاعد على سطح ال antigen و بتتعرف + +211 +00:18:49,980 --> 00:18:52,340 +عليه ال phagocytesالفجر + +212 +00:18:52,340 --> 00:19:07,280 +الفارغسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكس + +213 +00:19:09,270 --> 00:19:13,970 +هذه كا eating وهذه كا drinking او through receptor + +214 +00:19:13,970 --> 00:19:20,170 +mediated process اذا انتوا شايفين خطوات ال + +215 +00:19:20,170 --> 00:19:23,490 +endocytosis + +216 +00:19:23,490 --> 00:19:27,990 +اما through receptor + +217 +00:19:32,930 --> 00:19:39,090 +ماشي من خلال الجهتين طبعا زي ما انتوا شايفين + +218 +00:19:39,090 --> 00:19:46,210 +بيتكون في ال endocytosis early endosome ثم ال late + +219 +00:19:46,210 --> 00:19:53,350 +endosome و طبعا through invagination او pseudobond + +220 +00:19:53,350 --> 00:19:57,870 +بيتكون ال phagosome سواء كان endosome ولا + +221 +00:19:57,870 --> 00:20:03,460 +phagosomeبيرتطموا بال physical بتاعة ال isozone و + +222 +00:20:03,460 --> 00:20:11,360 +بيكونوا phagolizosome او endolizosome + +223 +00:20:11,360 --> 00:20:15,100 +عشان انهم يرتطمواهم طبعا هذا الكلام في النهاية + +224 +00:20:15,100 --> 00:20:22,020 +بيؤدي لتكسير الغليل ايضا اذا كان في internal dead + +225 +00:20:22,020 --> 00:20:29,360 +bodyماشي تتكرر ال cell يعمل حاجة بيسموها autophagy + +226 +00:20:29,360 --> 00:20:33,520 +و بيكوّن autophagosome اللي برضه بتخش عليه ال + +227 +00:20:33,520 --> 00:20:41,040 +lyosome و بتخلص ده منه أي + +228 +00:20:41,040 --> 00:20:44,780 +ال phagosome fuses with lyosome forming + +229 +00:20:44,780 --> 00:20:48,320 +phagolysome then digested of the particle + +230 +00:20:53,010 --> 00:20:58,850 +بتتم بطريقتين أساسيتين إما عن طريق ال oxygen + +231 +00:20:58,850 --> 00:21:03,150 +dependent وفي oxygen independent في ال oxygen + +232 +00:21:03,150 --> 00:21:06,610 +independent بيصير فيه respiratory pairs و بيستهلك + +233 +00:21:06,610 --> 00:21:12,110 +الخلية كميات كبيرة من ال oxygen و طبعا ال oxygen + +234 +00:21:12,110 --> 00:21:17,510 +في هذه الحالة في وجود certain nicotinic amide + +235 +00:21:21,920 --> 00:21:32,260 +انزين او ناد اتش و ناد بي اتش يتفاعل مع الأكسجين و + +236 +00:21:32,260 --> 00:21:35,860 +الهيدروجين و يتكوين الناد او الناد بي مع + +237 +00:21:35,860 --> 00:21:39,080 +الهيدروجين بيروكسايد و الهيدروجين بيروكسايد نعرف + +238 +00:21:39,080 --> 00:21:42,220 +ان هو برعن رياكتف أكسجين + +239 +00:21:56,800 --> 00:22:02,420 +مييلوبركسديز طبعا هذا بيسموه oxygen dependent + +240 +00:22:02,420 --> 00:22:06,700 +مييلوبركسديز dependent ال process ال hydrogen + +241 +00:22:06,700 --> 00:22:11,040 +peroxide في وجود الكلورايد والمييلوبركسديز بتكون + +242 +00:22:15,850 --> 00:22:22,730 +ماشي عبارة عن toxic substance ثم ال super oxide مع + +243 +00:22:22,730 --> 00:22:27,490 +ال hydrogen في وجود super hexanoxide اسمه تيزي + +244 +00:22:27,490 --> 00:22:31,890 +بيدينا hydrogen بال oxide و طبعا في ميكانزم تالت + +245 +00:22:31,890 --> 00:22:34,890 +اللي هو ال arginine اللي بيدينا nitric oxide و ال + +246 +00:22:34,890 --> 00:22:40,570 +nitric oxide بيقترط أداء تقتل برضه فظيعة من خلال + +247 +00:22:40,570 --> 00:22:43,830 +او في وجود nitric oxide acid synthetics + +248 +00:22:48,260 --> 00:22:48,940 +طبعاً هذه .. + +249 +00:23:08,380 --> 00:23:12,400 +الخلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +250 +00:23:12,400 --> 00:23:12,580 +عبارة عن خلية عبارة عن خلية عبارة عن خلية عبارة عن + +251 +00:23:12,580 --> 00:23:15,260 +خلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +252 +00:23:15,260 --> 00:23:23,380 +عبارة عن خلية عبارة عن خلية عبارة عن خلية عبارة عن + +253 +00:23:23,380 --> 00:23:23,380 +خلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +254 +00:23:23,380 --> 00:23:23,380 +عبارة عن خلية عبارة عن خلية عبارة عن خلية عبارة عن + +255 +00:23:23,380 --> 00:23:23,380 +خلية عبارة عن خلية عبارة عن خلية عبارة عن خلية + +256 +00:23:23,380 --> 00:23:34,660 +عبارة عن خلية عبارة عن خلية عبارة عن خلية + +257 +00:23:34,660 --> 00:23:41,470 +عبارةهذا يؤدي إلى تنشيط Transcriptional Factors أن + +258 +00:23:41,470 --> 00:23:49,910 +أفكارها بيه وهو طبعاً هذا يحول البرو IL-1 بيتا + +259 +00:23:49,910 --> 00:23:55,410 +gene transcription إلى ال active gene ويبدأ يتنشط + +260 +00:23:55,410 --> 00:23:56,610 +بكونها في النهاية + +261 +00:24:04,650 --> 00:24:09,770 +ميكانيزم آخر من خلال هذا هو الـ Antigen دخل مباشرة + +262 +00:24:09,770 --> 00:24:14,590 +إلى داخل الخلية و هنا ممكن يكون فيه receptor + +263 +00:24:16,070 --> 00:24:19,570 +Intracellularي وبالتالي زي ال node-like receptor + +264 +00:24:19,570 --> 00:24:23,590 +ده هي مسكت بال antigen و اتعرفت عليه مجرد + +265 +00:24:23,590 --> 00:24:29,170 +انطباعتها بينشط Casasease enzyme و ال Casasease + +266 +00:24:29,170 --> 00:24:33,950 +بتكون سلسلة من ال Casasease في النهاية بتنصر ال + +267 +00:24:33,950 --> 00:24:40,430 +Casasease number one اللي ايضا بينشطنا او بيكوننا + +268 +00:24:40,430 --> 00:24:45,580 +انطلاقا معاهاالحاجات التالتة وجود certain + +269 +00:24:45,580 --> 00:24:50,660 +endogenous crystals ممكن تنشط هذا ال ميكانيزم طبعا + +270 +00:24:50,660 --> 00:24:54,140 +في وجود الكائن ال potassium efflux و هذا ال + +271 +00:24:54,140 --> 00:24:58,040 +potassium efflux أنه ال potassium بطلع من جوا + +272 +00:24:58,040 --> 00:25:01,460 +الخلية لبرا الخلية و تبدأ هذه ال mechanism تتكون + +273 +00:25:01,460 --> 00:25:05,560 +فاللي بيصير هذه المواد بتحفظ هذا ال mechanism + +274 +00:25:05,560 --> 00:25:09,940 +intracellularي و في النهاية بيتكون Enflasome + +275 +00:25:12,930 --> 00:25:19,870 +انفلامازون انفلامازون هذا بيكون ناتج عن تنشيط ال + +276 +00:25:19,870 --> 00:25:26,210 +node-like receptor protein تلاتة و automatically + +277 +00:25:26,210 --> 00:25:30,950 +طبعا this will lead to probe IL-1 beta + +278 +00:25:35,840 --> 00:25:39,220 +المهم كلهم في النهاية بيصير فيه acute inflammatory + +279 +00:25:39,220 --> 00:25:43,280 +reaction ده once created بيصير فيه acute + +280 +00:25:43,280 --> 00:25:47,840 +inflammation ده عبارة عن ميكانيزم بيؤدي طبعا by + +281 +00:25:47,840 --> 00:25:51,820 +different way اما by extra cellular antigen او + +282 +00:25:51,820 --> 00:25:57,100 +intra cellular antigen دخل واتنشطت بعض العوامل + +283 +00:25:57,100 --> 00:26:02,300 +اللي في النهاية تتكون IL-1 + +284 +00:26:05,800 --> 00:26:10,520 +How innate immunity recognize microbe and damaged + +285 +00:26:10,520 --> 00:26:14,760 +cell طبعا specificity of innate immunity + +286 +00:26:14,760 --> 00:26:21,420 +recognition have evolved to combat microbe and are + +287 +00:26:21,420 --> 00:26:24,000 +different from specificity of adaptive immune + +288 +00:26:24,000 --> 00:26:27,840 +system طبيعي جدا ان ال specificity في specific + +289 +00:26:27,840 --> 00:26:31,580 +tool specific mode of action + +290 +00:26:34,580 --> 00:26:39,160 +الاختلاف كله عن specific mechanism اللي بتكون فيها + +291 +00:26:39,160 --> 00:26:42,120 +ال adaptive immunity و خلينا نشوف الفرق بين + +292 +00:26:42,120 --> 00:26:45,940 +التانين فهي specificity و immediate immunity أيه + +293 +00:26:45,940 --> 00:26:51,140 +هنا اللي في ال immediate immunity صار عملية التباط + +294 +00:26:51,140 --> 00:26:57,240 +بال microbe من خلال receptors موجودة على السطح + +295 +00:27:10,030 --> 00:27:21,610 +موضوع تاني موضوع + +296 +00:27:21,610 --> 00:27:26,110 +تاني بيكون فيه antibodyspecific for certain + +297 +00:27:26,110 --> 00:27:29,190 +antigen ويعني فإنها different antibody كل واحد + +298 +00:27:29,190 --> 00:27:34,030 +يبلغه مختلف بيرتبطه ب different microbe حسب ال + +299 +00:27:34,030 --> 00:27:37,250 +microbe لأن كل antibody is specific only for one + +300 +00:27:37,250 --> 00:27:41,090 +antigen فال specificity في ال adaptive immunity + +301 +00:27:41,090 --> 00:27:46,970 +محددة ب antibody بيرتبط ب specific antigen فيعني + +302 +00:27:46,970 --> 00:27:50,990 +different type of antibody for different types of + +303 +00:27:50,990 --> 00:27:56,890 +antigen نما هان هو عبارة عنده هو Receptors ماشي + +304 +00:27:56,890 --> 00:28:01,330 +واحد و هو ال man nose receptor موجود على خلايا + +305 +00:28:01,330 --> 00:28:05,570 +ارتبط في اكتر من micro يعني اكتر من بكتيريا لكن + +306 +00:28:05,570 --> 00:28:08,730 +بماذا يشترك و هدول البكتيريا انه على سطح ال man + +307 +00:28:08,730 --> 00:28:16,270 +nose binding لكتير ليش التاني ال receptor في + +308 +00:28:16,270 --> 00:28:19,570 +اختلاف في ال receptor اه طبعا في اختلاف ما بين ال + +309 +00:28:19,570 --> 00:28:25,270 +innate و ما بين ال adaptive في ال innate فييعني + +310 +00:28:25,270 --> 00:28:29,350 +limited type of receptor limited diversity of + +311 +00:28:29,350 --> 00:28:34,270 +receptor كلهم collectively are named by pattern + +312 +00:28:34,270 --> 00:28:37,390 +recognition receptor مش شو بيسموهم pattern + +313 +00:28:37,390 --> 00:28:41,370 +recognition receptor وطبعا زي ما انتوا شايفين كل + +314 +00:28:41,370 --> 00:28:45,730 +واحد منهم بيرتبط بينهم معين من إيش من ال micro أو + +315 +00:28:45,730 --> 00:28:49,690 +كلهم ممكن يرتبطوا بنفس ال micro وبالتالي ال + +316 +00:28:49,690 --> 00:28:53,850 +specificity مش مش كتير موجودة هنا فى Anatolite + +317 +00:28:53,850 --> 00:28:59,420 +receptorمثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +318 +00:28:59,420 --> 00:29:00,080 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +319 +00:29:00,080 --> 00:29:05,560 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +320 +00:29:05,560 --> 00:29:06,600 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +321 +00:29:06,600 --> 00:29:07,060 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +322 +00:29:07,060 --> 00:29:08,720 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +323 +00:29:08,720 --> 00:29:11,360 +أهمية مثلًا مجموعات أقل أهمية مثلًا مجموعات أقل + +324 +00:29:11,360 --> 00:29:16,440 +أهمية مثلًا مجموعات أقل أكل خلية على سطحها + +325 +00:29:16,440 --> 00:29:23,760 +specific receptor which is specific only + +326 +00:29:23,760 --> 00:29:24,700 +for one antigen + +327 +00:29:28,080 --> 00:29:34,180 +تصنيع لـ Receptor خاص بكل خلية على عدة كيف + +328 +00:29:34,180 --> 00:29:38,220 +اتكوّنوا قالوا by somatic recombination of gene + +329 +00:29:38,220 --> 00:29:43,220 +segments جينات ارتبطت مع بعضها وعملت ليه different + +330 +00:29:43,220 --> 00:29:48,500 +types of ايش of receptors على سطح الخلية لكلهم + +331 +00:29:48,500 --> 00:29:51,500 +واحد من السلطات عشان هيكوا بيكونوا greater + +332 +00:29:51,500 --> 00:29:55,700 +diversity distribution of receptor + +333 +00:30:00,290 --> 00:30:05,830 +يعني أن جموع من الخلايا ممكن + +334 +00:30:05,830 --> 00:30:11,870 +تشترك ب one receptor identical receptor on all + +335 +00:30:11,870 --> 00:30:16,890 +cell of the same line طب في ال adaptive قالوا لأ + +336 +00:30:16,890 --> 00:30:22,750 +it's a clone of ال clone of lymphocyteswith + +337 +00:30:22,750 --> 00:30:27,450 +distinct specifics يعني express different + +338 +00:30:27,450 --> 00:30:31,650 +receptors يعني one type of clone على سبيل المثال + +339 +00:30:31,650 --> 00:30:37,570 +ال B lymphocyte كل خلية فيها يعني كل B lymphocyte + +340 +00:30:37,570 --> 00:30:42,360 +على سطح a receptor مختلف عن ال receptor التانياللي + +341 +00:30:42,360 --> 00:30:46,840 +موجودة على خلية بي لينفوسايت تانية انما هناك معظم + +342 +00:30:46,840 --> 00:30:53,140 +الخلايا تشترك بقاش ب ال receptors اللي موجودة + +343 +00:30:56,970 --> 00:31:00,630 +Type discrimination of self and non-self التنتين + +344 +00:31:00,630 --> 00:31:05,190 +بيشتركوا بهذه الصفة المفروض في الـ innate yes + +345 +00:31:05,190 --> 00:31:09,830 +healthy host cells are not recognized or they may + +346 +00:31:09,830 --> 00:31:13,410 +express molecule بين او و نفس الحكاية في الاش في + +347 +00:31:13,410 --> 00:31:16,950 +ال adaptive based on elimination طبعا بيصير عملية + +348 +00:31:16,950 --> 00:31:24,750 +تخلص من كل خلايا ناشطة self-reacted species في ال + +349 +00:31:24,750 --> 00:31:28,930 +primaryor in the orthopretium في ال secondary + +350 +00:31:28,930 --> 00:31:34,910 +recognition of microbe and damaged cell by innate + +351 +00:31:34,910 --> 00:31:38,910 +immunity يعني + +352 +00:31:38,910 --> 00:31:45,550 +ال innate immunity بتتعرف على + +353 +00:31:45,550 --> 00:31:53,510 +molecular structure موجودة على ال microbes خاصة مش + +354 +00:31:53,510 --> 00:31:58,470 +موجودة على ال mammalian cellفيه موليكيوز + +355 +00:31:58,470 --> 00:32:06,330 +موليكيولار موجودين على سطح الـ foreign body مش + +356 +00:32:06,330 --> 00:32:11,250 +موجودين في داخل الـ mammalian cell وبالتالي تتعرف + +357 +00:32:11,250 --> 00:32:15,430 +عليهم الـ innate بشكل أهم these microbial + +358 +00:32:15,430 --> 00:32:20,030 +substance بي stimulate the innate immunity بيسموها + +359 +00:32:20,030 --> 00:32:24,330 +ال PAMS PAMS هي اختصار pathogen associated + +360 +00:32:24,330 --> 00:32:25,470 +molecular pattern + +361 +00:32:28,220 --> 00:32:33,200 +وهناك ميكروفات مختلفة مثل الفيروس والبكتيريا + +362 +00:32:33,200 --> 00:32:39,680 +والفنجايل وهي تظهر بطاريات مختلفة وهذه + +363 +00:32:39,680 --> 00:32:44,040 +الطاريات مختلفة + +364 +00:32:44,040 --> 00:32:49,880 +في أسلوبها فممكن يكون double-stranded RNA مثل ما + +365 +00:32:49,880 --> 00:32:56,220 +موجود في الـreplicating viruses أو الـCBG دي أن + +366 +00:32:56,220 --> 00:33:03,930 +إيهزي ما هو موجود في البكتيريا or certain proteins + +367 +00:33:03,930 --> 00:33:09,370 +موجودة على certain microbe زي ال M + +368 +00:33:09,370 --> 00:33:14,890 +-formylmethionine and this is a typical bacterial + +369 +00:33:14,890 --> 00:33:19,870 +protein and this complex lipid and carbohydrate + +370 +00:33:19,870 --> 00:33:27,120 +that are synthesized by bacteria زي الالليبو + +371 +00:33:27,120 --> 00:33:32,620 +تيكويك أسد المنوذ ريش أوليبو ساكرايتز كلها عبارة + +372 +00:33:32,620 --> 00:33:36,920 +عن ايه؟ ايضا + +373 +00:33:36,920 --> 00:33:43,180 +ال innate immune system ايضا recognize microbial + +374 +00:33:43,180 --> 00:33:47,340 +product مش فقط microbial structure that are often + +375 +00:33:47,340 --> 00:33:51,140 +essential for survival of the microbe مهم جدا + +376 +00:33:51,140 --> 00:33:58,440 +وجودها for survival of theوهذه المولكولة + +377 +00:33:58,440 --> 00:34:08,060 +الاندوجنسية إما تتم إصلاحها أو إطلاقها من جسد ميت + +378 +00:34:08,060 --> 00:34:08,780 +مصاب + +379 +00:34:16,080 --> 00:34:21,880 +Immunity تتعرف على الـ PAMs اللي هي Pattern + +380 +00:34:21,880 --> 00:34:25,120 +Associated Molecular Pattern وهي عبارة عن + +381 +00:34:25,120 --> 00:34:29,700 +Molecular Structure على سطح الاش الميكروب وتتعرف + +382 +00:34:29,700 --> 00:34:33,640 +على ال Dams والدامس هي عبارة عن Damage Associated + +383 +00:34:33,640 --> 00:34:41,140 +Molecular Pattern طالعة من إما الميكروب أو جاية من + +384 +00:34:41,140 --> 00:34:46,930 +Dying Cellsو these damage are a result of cell + +385 +00:34:46,930 --> 00:34:54,070 +damage caused by infection or caused + +386 +00:34:54,070 --> 00:34:58,890 +by myriad يعني أسباب كثيرة زي chemical, toxin, + +387 +00:34:59,150 --> 00:35:10,010 +birth, trauma or even decreased blood supply ال + +388 +00:35:10,010 --> 00:35:14,870 +damage بنشوفهاش جاي من في حالات ال apoptosisلكن في + +389 +00:35:14,870 --> 00:35:19,170 +بعض المرات ال healthy cell بتفرز ال dams عشان تنشط + +390 +00:35:19,170 --> 00:35:30,330 +ال immune response عشان تنشط ال immune response ال + +391 +00:35:30,330 --> 00:35:36,770 +example of dams and bumpsكانوا ال pathogen + +392 +00:35:36,770 --> 00:35:40,850 +associated molecular pattern بامس أول فيها منها + +393 +00:35:40,850 --> 00:35:44,970 +nucleic acid في منها protein في منها cell wall + +394 +00:35:44,970 --> 00:35:48,130 +lipids في منها carbohydrate وزي ما انتوا شايفين + +395 +00:35:48,130 --> 00:35:53,670 +اما single strand RNA او double strand RNA او CBG + +396 +00:35:53,670 --> 00:35:58,270 +اي حالة nucleic acid اللي بنشوفها في ال virusesو + +397 +00:35:58,270 --> 00:36:03,550 +بعض البكتيريا CBG لبروتينات مثل ال بالن و ال + +398 +00:36:03,550 --> 00:36:06,810 +flagellum نشوفهم في البكتيريا مثل ال wall lipids + +399 +00:36:06,810 --> 00:36:10,550 +مثل ليبو بوليسا كريد و ليبوتيكويك أسد موجودة في + +400 +00:36:10,550 --> 00:36:14,570 +جرام نيجاتيب بكتيريا كربوهيديد مثل ال man nose و + +401 +00:36:14,570 --> 00:36:14,950 +ال man nose + +402 +00:36:22,320 --> 00:36:26,140 +ال بامس ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +403 +00:36:26,140 --> 00:36:27,000 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +404 +00:36:27,000 --> 00:36:29,100 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +405 +00:36:29,100 --> 00:36:29,120 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +406 +00:36:29,120 --> 00:36:29,140 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +407 +00:36:29,140 --> 00:36:29,980 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +408 +00:36:29,980 --> 00:36:29,980 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +409 +00:36:29,980 --> 00:36:30,220 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +410 +00:36:30,220 --> 00:36:32,400 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +411 +00:36:32,400 --> 00:36:32,400 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +412 +00:36:32,400 --> 00:36:32,400 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +413 +00:36:32,400 --> 00:36:32,400 +ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال ال + +414 +00:36:32,400 --> 00:36:36,100 +ال ال ال ال ال ال ال ال ال ال ال ال ال التشو + +415 +00:36:36,100 --> 00:36:36,500 +او + +416 +00:36:56,200 --> 00:37:03,020 +One برضه عبارة عن بروتينات تطلع من الخلايا المقصرة + +417 +00:37:03,020 --> 00:37:06,780 +ال + +418 +00:37:06,780 --> 00:37:11,740 +innate immune system use several types of cellular + +419 +00:37:11,740 --> 00:37:18,500 +receptor موجودة على سطحها and soluble molecule in + +420 +00:37:18,500 --> 00:37:21,520 +the blood amicosa secretion to recognize bumps and + +421 +00:37:21,520 --> 00:37:28,640 +damsهي أكتر من receptor بيتعرف على ال-pamps و ال + +422 +00:37:28,640 --> 00:37:34,540 +-damps ال pattern recognition receptor they + +423 +00:37:34,540 --> 00:37:38,460 +are expressed on the plasma membrane or endosomal + +424 +00:37:38,460 --> 00:37:42,360 +membrane of various cell type and also on the + +425 +00:37:42,360 --> 00:37:45,760 +cytoplasm of these cells يعني موجودين على سطح + +426 +00:37:45,760 --> 00:37:52,040 +الخلية أو في ال cytosol أو في ال endosome يعني شيء + +427 +00:37:52,040 --> 00:37:57,220 +membraneهدولة أنواع ال pattern recognition + +428 +00:37:57,220 --> 00:38:00,920 +receptor and this various location of the receptor + +429 +00:38:00,920 --> 00:38:04,040 +ensure that the innate immune system can respond + +430 +00:38:04,040 --> 00:38:07,880 +to microbe وينما كان. So one can outside the cell + +431 +00:38:07,880 --> 00:38:11,650 +or within different cellular compartment.مازال في + +432 +00:38:11,650 --> 00:38:14,870 +عندنا receptor في الـ innate immunity بتتعرف على + +433 +00:38:14,870 --> 00:38:20,610 +ال paps و ال daps سواء كانت extra cellular يعني من + +434 +00:38:20,610 --> 00:38:25,010 +برا في receptor على سطح الخلية جوا دخل ال antigen + +435 +00:38:25,010 --> 00:38:29,210 +جوا سواء كان في ال cytosol أو في ال endosome برضه + +436 +00:38:29,210 --> 00:38:36,950 +فيه receptor خاصة تتعرف على ال microbe شوفوا أنواع + +437 +00:38:37,240 --> 00:38:40,660 +الـ Pattern Recognition Receptor يبقى ال Pattern + +438 +00:38:40,660 --> 00:38:44,800 +Recognition Receptor تتعرف على ال BAMs و ال DAMs + +439 +00:38:44,800 --> 00:38:50,840 +بمواقع مختلفة شوفوا اللي هو ال Cell Associated + +440 +00:38:50,840 --> 00:38:55,680 +Pattern Recognition Receptor زي ال tone-like + +441 +00:38:55,680 --> 00:38:58,360 +receptor و ال node-like receptor و ال rate-like + +442 +00:38:58,360 --> 00:39:02,200 +receptor دي كلها عبارة عن إيش؟ عبارة عن receptor + +443 +00:39:02,620 --> 00:39:05,380 +أشي موجود على الcell membrane واشي موجود في ال + +444 +00:39:05,380 --> 00:39:11,420 +cytosol واشي موجود في ال endosome وفي other + +445 +00:39:11,420 --> 00:39:16,480 +receptor زي ال C-type lectin و ال scavenger و ال M + +446 +00:39:16,480 --> 00:39:20,720 +-formyl methionine-leucine phenotype receptor كلهم + +447 +00:39:20,720 --> 00:39:23,820 +دول عبارة عن receptor بتعرفوا على different + +448 +00:39:23,820 --> 00:39:24,420 +peptides + +449 +00:39:30,280 --> 00:39:36,820 +different molecule of the micro نوع + +450 +00:39:36,820 --> 00:39:40,520 +تاني من ال pattern recognition receptors فى حاجة + +451 +00:39:40,520 --> 00:39:43,740 +بيسموها soluble part soluble recognition molecule + +452 +00:39:43,740 --> 00:39:47,540 +يبقى فى الأول فى حاجة اسمها pattern recognition + +453 +00:39:47,540 --> 00:39:52,950 +receptors ماشي النوع الأولانىبيحتوي على ال tool + +454 +00:39:52,950 --> 00:39:55,590 +-like و ال node-like و ال rig-like و شوية + +455 +00:39:55,590 --> 00:40:03,430 +scavanger و ال soluble فيه منه pentraxine و مثال + +456 +00:40:03,430 --> 00:40:06,490 +عليه ال C-reactive protein موجود في البلازمه + +457 +00:40:06,490 --> 00:40:07,330 +collectin + +458 +00:40:09,840 --> 00:40:16,580 +أيضا موجود في البلازما ال alveoli و الفيكولين + +459 +00:40:16,580 --> 00:40:20,360 +موجود في البلازما و كما تشاهدون هؤلاء يتعرفون في + +460 +00:40:20,360 --> 00:40:24,100 +الرياكتب روتين بيتعرف على microbial + +461 +00:40:24,100 --> 00:40:27,160 +phosphorealcholine + +462 +00:40:27,160 --> 00:40:31,640 +and phosphatidylethanolamine + +463 +00:40:31,640 --> 00:40:34,860 +موليكيول لـ PAMS + +464 +00:40:39,050 --> 00:40:42,610 +الـ Manose binding lectin بتعرف على الـ Manose + +465 +00:40:42,610 --> 00:40:48,770 +اللى موجودة على ال micro و هكذا complement طبعا و + +466 +00:40:48,770 --> 00:40:52,790 +ال natural antibody أيضا من ايش من ال pattern + +467 +00:40:52,790 --> 00:40:56,310 +recognition molecule و ال complement موجودة في ال + +468 +00:40:56,310 --> 00:40:59,650 +plasma هي ال immunoglobulin و هي مثال عليها C3 + +469 +00:40:59,650 --> 00:41:03,710 +اللى بتتعرف على .. بتقعد على ال microbial surface + +470 +00:41:03,710 --> 00:41:06,350 +و ال IgM + +471 +00:41:16,080 --> 00:41:19,240 +وهكذا يبقى فيه مجموعة كبيرة من اللي هي pattern + +472 +00:41:19,240 --> 00:41:25,360 +recognition receptor هى ال cellular location of + +473 +00:41:25,360 --> 00:41:29,420 +pattern recognition molecule of the immunity زى ما + +474 +00:41:29,420 --> 00:41:33,100 +انتوا شايفين فيه extra cellular زى ال tool-like + +475 +00:41:33,100 --> 00:41:37,900 +receptor فيه cytosolic زى ال node-like receptor + +476 +00:41:37,900 --> 00:41:47,640 +وفيه endosome اندوزومة ماشي في منها tool-likeفي + +477 +00:41:47,640 --> 00:41:53,040 +منها طبعا تتعرف على ال virus DNA or RNA اندوزومال + +478 +00:41:53,040 --> 00:41:58,380 +ممبرين سيبقى سواء كانت الانتجن في أي مكان مكان + +479 +00:41:58,380 --> 00:42:03,680 +الخلية إما برا أو إما جوا تستطيع تتعرف عليه الخلية + +480 +00:42:03,680 --> 00:42:10,000 +و تتصدله نشوف بعض المعلومات قالوا ال receptor of a + +481 +00:42:10,000 --> 00:42:13,320 +innate immune system are encoded in gear line يعني + +482 +00:42:13,320 --> 00:42:20,110 +يخلق بتخليق الخليةبينما الـ Receptor of Adaptive + +483 +00:42:20,110 --> 00:42:34,670 +Immunity يتم تجريبه من خلال + +484 +00:42:34,670 --> 00:42:35,630 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +485 +00:42:35,630 --> 00:42:35,690 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +486 +00:42:35,690 --> 00:42:35,690 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +487 +00:42:35,690 --> 00:42:35,690 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +488 +00:42:35,690 --> 00:42:35,710 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +489 +00:42:35,710 --> 00:42:38,050 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +490 +00:42:38,050 --> 00:42:45,290 +تجارب تجارب + +491 +00:42:46,630 --> 00:42:52,670 +يبقى في ال germline في ال innate في germline gene + +492 +00:42:52,670 --> 00:43:00,890 +الجين هذه محدودة تبدي نجات اللي هو ال innate + +493 +00:43:00,890 --> 00:43:07,030 +immune receptor وبالتالي عددهم محدود بينما في ال + +494 +00:43:07,030 --> 00:43:11,130 +adaptiveفي عندنا مجموعة من الجينات اللي بيسألها + +495 +00:43:11,130 --> 00:43:16,850 +recombination مع بعض هذه مسئولة عن ال receptor تبع + +496 +00:43:16,850 --> 00:43:22,190 +اللي هو الخلايا وبالتالي بتصفط و في كل مرض سبيته + +497 +00:43:22,190 --> 00:43:27,210 +مختلفة و بدونها receptor مختلف as a result + +498 +00:43:29,410 --> 00:43:32,470 +التبريدوار الاصطناعي للإمينية الانتقالية + +499 +00:43:32,470 --> 00:43:38,050 +الانتقالية + +500 +00:43:38,050 --> 00:43:39,450 +الانتقالية الانتقالية الانتقالية الانتقالية + +501 +00:43:39,450 --> 00:43:44,150 +الانتقالية الانتقالية الانتقالية الانتقالية + +502 +00:43:44,150 --> 00:43:45,990 +الانتقالية الانتقالية الانتقالية الانتقالية + +503 +00:43:45,990 --> 00:43:46,470 +الانتقالية الانتقالية الانتقالية الانتقالية + +504 +00:43:46,470 --> 00:43:46,730 +الانتقالية الانتقالية الانتقالية الانتقالية + +505 +00:43:46,730 --> 00:43:46,730 +الانتقالية الانتقالية الانتقالية الانتقالية + +506 +00:43:46,730 --> 00:43:48,150 +الانتقالية الانتقالية الانتقالية الانتقالية + +507 +00:43:48,150 --> 00:43:57,630 +الانتقالية الانتقالية الانتقالية الانتقالية + +508 +00:43:57,630 --> 00:43:59,090 +الان + +509 +00:44:01,700 --> 00:44:06,500 +بالمقابل عدد الـ Receptors اللى بتتصنع فى ال + +510 +00:44:06,500 --> 00:44:11,420 +Adaptive Immunity بتعدى + +511 +00:44:11,420 --> 00:44:15,080 +لعشرة قوة سبعة وفي بعض المراجع بتقول عشرة قوة عشرة + +512 +00:44:15,080 --> 00:44:23,660 +furthermore + +513 +00:44:23,660 --> 00:44:26,760 +where is the adaptive immune system can + +514 +00:44:26,760 --> 00:44:28,720 +distinguish between antigen + +515 +00:44:31,490 --> 00:44:36,050 +تخيلوا ال .. ال .. ال .. ال .. في ال adaptive + +516 +00:44:36,050 --> 00:44:44,450 +immune system بصير في تعرف و تفريق of antigen + +517 +00:44:44,450 --> 00:44:50,610 +موجودة على different microbes of the same class + +518 +00:44:50,610 --> 00:44:54,730 +ماشي or even antigen + +519 +00:44:59,660 --> 00:45:03,700 +يعني ممكن one microbe يحتوي على أكتر من antigen و + +520 +00:45:03,700 --> 00:45:10,220 +أيضا ال adaptive immune system يتعرف على كل + +521 +00:45:10,220 --> 00:45:14,660 +antigen على أحدها و ده مالطبيعي جدا ان antigen + +522 +00:45:14,660 --> 00:45:18,340 +واحد ممكن يحتوي على أكتر من Epitopes و كل Epitopes + +523 +00:45:18,340 --> 00:45:21,420 +ممكن ال Epitopes هذه ممكن تكون identical or + +524 +00:45:21,420 --> 00:45:25,550 +different يوم تكون identical oneantibody or one + +525 +00:45:25,550 --> 00:45:29,070 +receptor هيتعرف عليهم كلهم لكن يوم ما يكونوا + +526 +00:45:29,070 --> 00:45:33,750 +different طبعا هيصير كل واحد إله إيش؟ إله اللي هو + +527 +00:45:33,750 --> 00:45:36,390 +receptor خاص بيه + +528 +00:45:46,290 --> 00:45:49,330 +معرفة الـ Immunity كما تشاهدون فينا physical + +529 +00:45:49,330 --> 00:45:56,110 +barrier او chemical barrier على skin طبعا دول إذا + +530 +00:45:56,110 --> 00:46:00,950 +كانت ال skin intact معناته تمنا اللي هو دخول ال + +531 +00:46:00,950 --> 00:46:03,690 +antigen من أصله ال physical barrier + +532 +00:46:06,770 --> 00:46:10,150 +والكيميكال باريار زي الاسدك بي أتش و ال + +533 +00:46:10,150 --> 00:46:14,630 +antimicrobial protein بيبتعد لكن once preached + +534 +00:46:14,630 --> 00:46:22,230 +مراتو الانتجين ممكن ياشي ممكن يدخل في داخل الجسم + +535 +00:46:22,230 --> 00:46:26,070 +Cellular Response to Infection ده هو ال pathogen + +536 +00:46:26,070 --> 00:46:36,180 +دخل ماشي ممكن تاخدوا خلية تعملوا phagocytosisو + +537 +00:46:36,180 --> 00:46:43,160 +تتصدى الى الانكيس اللى تقتله مباشرة او تاخد + +538 +00:46:43,160 --> 00:46:48,380 +الماكروفيش و تعمله processing ماشى + +539 +00:46:52,660 --> 00:46:59,240 +T-lymphocytes وطبعا sorry ايوناقرافير ودندراتكسل + +540 +00:46:59,240 --> 00:47:04,520 +بوث أرفع جثتكسل بيعملوا اللي هو destruction + +541 +00:47:04,520 --> 00:47:09,940 +للموليكيول أو بس بيعملوا activation لل adaptive + +542 +00:47:09,940 --> 00:47:15,300 +immune system بي سل و T سل اتنشطت ال بي سل انتشرت + +543 +00:47:15,300 --> 00:47:21,960 +انتيبادي و T سل receptor ايضا اتنشط ل other types + +544 +00:47:21,960 --> 00:47:27,160 +of cellطبعاً activation of adaptive immunity جاي + +545 +00:47:27,160 --> 00:47:30,460 +من release of certain cytokine اللي أسطر عن + +546 +00:47:30,460 --> 00:47:35,340 +الخلايا اللي مسكت ال antigen نشطت وفرزعت cytokine + +547 +00:47:35,340 --> 00:47:39,480 +عملت ال inflammation وطلعت antimicrobial substance + +548 +00:47:39,480 --> 00:47:43,380 +وصار في systemic effect ده هو نشطت ال adaptive + +549 +00:47:43,380 --> 00:47:48,080 +immunity وإما تكون antibody وإما تكون T cell + +550 +00:47:53,100 --> 00:47:56,180 +الـ component of innate immunity هتكون تتكوّن من + +551 +00:47:56,180 --> 00:47:59,840 +تلت مواقع أساسية إما anatomical barrier وهي عبارة + +552 +00:47:59,840 --> 00:48:03,260 +عن physical أو chemical أو cell زي ال phagocystic + +553 +00:48:03,260 --> 00:48:09,180 +cell و ال dendritic cell و ال ankyl cell أو اللي + +554 +00:48:09,180 --> 00:48:12,760 +هو ال soluble protein زي ال complement و ال + +555 +00:48:12,760 --> 00:48:18,740 +cytokine و ال chemokine و ال antimicrobial + +556 +00:48:18,740 --> 00:48:27,030 +substance ال ILC هي برعنة innateLymphoid cell يعني + +557 +00:48:27,030 --> 00:48:32,130 +خلايا lymphoid لكنها داخلة في ايه؟ في الامية + +558 +00:48:32,130 --> 00:48:37,550 +immunity ايش + +559 +00:48:37,550 --> 00:48:43,900 +الحاجات اللي ممكناش موجودة في ال host ايضاوبتلعب + +560 +00:48:43,900 --> 00:48:47,840 +دور ك antimicrobial action في ال innate immunity + +561 +00:48:47,840 --> 00:48:51,820 +جاله فيه عدة مواد منها ال glycoprotein substance + +562 +00:48:51,820 --> 00:48:55,580 +وامثلة على ذلك دورهم ده هو زي ال iron زي ال + +563 +00:48:55,580 --> 00:49:01,420 +lactoferrin بيروحوا ملجة ال iron كلها وماسكوا زي + +564 +00:49:01,420 --> 00:49:07,960 +ال transferrin أيضاممشك الـ Iron ثم certain + +565 +00:49:07,960 --> 00:49:12,540 +opsinizers زي الـ Fiber Nectar هذه عبارة عن أيه؟ + +566 +00:49:12,540 --> 00:49:17,460 +عبارة عن Antimicrobial Substance بعض البروتينات زي + +567 +00:49:17,460 --> 00:49:18,280 +ال Isozyme + +568 +00:49:25,340 --> 00:49:27,980 +البروتين والكربوهيدر الكومليكزاد كومليمان + +569 +00:49:27,980 --> 00:49:32,700 +وإنفلاميشن تلعب دور كبير في انفلاميشن و بصممزيشن و + +570 +00:49:32,700 --> 00:49:38,380 +سيمبايسيز يبقى غير انه ال reception في other + +571 +00:49:38,380 --> 00:49:43,300 +antimicrobial substance موجودة في ال host تلعب دور + +572 +00:49:43,300 --> 00:49:44,260 +كبير في ال + +573 +00:49:47,140 --> 00:49:53,340 +وهيهم هنا summary هذه ال figure summary لل innate + +574 +00:49:53,340 --> 00:49:57,680 +immunity defenses يعني ال first line defense + +575 +00:49:57,680 --> 00:50:04,180 +mechanism غالبا متمثل ب skin and mucous membrane + +576 +00:50:04,180 --> 00:50:07,840 +قسموه ل physical barrier + +577 +00:50:10,970 --> 00:50:15,610 +والميوكاس والممرين ميوكاس واللاجرما الاباراتوس + +578 +00:50:15,610 --> 00:50:22,550 +موجود في العين سالايفا هير ميسيليا اميجلوتس اندرين + +579 +00:50:22,550 --> 00:50:26,970 +وجاينا سيكريشن و البريستاليسيز movement تبعت من + +580 +00:50:26,970 --> 00:50:33,860 +تبعت إلى معاق or chemical factors like sebumهذه + +581 +00:50:33,860 --> 00:50:38,860 +طبقة فوق ال .. ال skin تفرز تخلي ال skin acidic + +582 +00:50:38,860 --> 00:50:43,920 +برضه بمنع نمو البكتيريا saliva, gastric juice, + +583 +00:50:44,020 --> 00:50:49,600 +urine يعني برجع إلى ال secretion other + +584 +00:50:49,600 --> 00:50:51,760 +component + +585 +00:50:52,660 --> 00:50:56,260 +استكمالا للـ summary second line defense mechanism + +586 +00:50:56,260 --> 00:51:00,500 +زي الـ defense in cells و طبعا هذه من أشرح ال + +587 +00:51:00,500 --> 00:51:07,180 +phagocytic cell و ال anky cell ثم ال inflammation + +588 +00:51:07,180 --> 00:51:10,760 +بحد ذاته و ال fever inflammation confine and + +589 +00:51:10,760 --> 00:51:16,980 +destroy microbes بينما ال fever intensify the + +590 +00:51:16,980 --> 00:51:21,040 +effect of interferonوبالتالي تعمل انهيبشين لـ + +591 +00:51:21,040 --> 00:51:25,420 +growth of certain microbes بجهد أدوات أخرى أيضًا + +592 +00:51:25,420 --> 00:51:30,260 +بتعتبر second line defense mechanism بتفرزها اللي + +593 +00:51:30,260 --> 00:51:34,620 +هو أو بتشارك في جنية الميليدية كمان في + +594 +00:51:34,620 --> 00:51:36,980 +antimicrobial substance زي ال complement + +595 +00:51:36,980 --> 00:51:40,880 +interferon iron binding protein and antimicrobial + +596 +00:51:40,880 --> 00:51:42,300 +peptide + +597 +00:51:50,040 --> 00:51:53,440 +و طبعا استكمالا للموضوع نتعرف على الخلايا هذه + +598 +00:51:53,440 --> 00:51:57,300 +عبارة عن hemipoietic tree و احنا اتفقنا على ان ال + +599 +00:51:57,300 --> 00:52:01,040 +lymphoid cell تلعب ضول كبير في ال adaptive + +600 +00:52:01,040 --> 00:52:07,110 +immunityميلويد بتلعب دور كبير في ال .. إيش؟ في ال + +601 +00:52:07,110 --> 00:52:12,070 +.. ال net immunity وهذه صورة مهمة كبّر على الموضوع + +602 +00:52:12,070 --> 00:52:15,950 +هي كل الميلويد بما فيهم طبعا ال dendritic cell و + +603 +00:52:15,950 --> 00:52:19,670 +ال muscle ماشي كلهم بتلعب دور كبير في ال net + +604 +00:52:19,670 --> 00:52:23,190 +immunity بينما ال acquired immunity عبارة عن P و T + +605 +00:52:23,190 --> 00:52:27,370 +زي ما قلتلكم و ادناش ننسى ان في collaboration + +606 +00:52:27,370 --> 00:52:29,230 +بشتغل في الجهتين + +607 +00:52:35,530 --> 00:52:38,890 +للماكروفيج اللي هتدور أساسي جدا في الانيت امينيتي + +608 +00:52:38,890 --> 00:52:43,930 +ايضا وجاله ماكروفيج في منها نوعين في منها اللي هو + +609 +00:52:43,930 --> 00:52:51,650 +fixed بيسموها لسه flexible program ماشي يعني ال + +610 +00:53:02,620 --> 00:53:06,660 +طبعا هى اللى بعدها كل انفار من جنة GM ثم كل انفار + +611 +00:53:06,660 --> 00:53:10,700 +من جنة M طلعت فى النهاية Macrophage ال Macrophage + +612 +00:53:10,700 --> 00:53:13,860 +فى منها أنواع مختلفة لأن زى ما قلتلكوا هى عبارة عن + +613 +00:53:13,860 --> 00:53:18,200 +Fixed Macrophage فى أنواع مختلفة منها حسب ال organ + +614 +00:53:18,200 --> 00:53:22,500 +اللى بتقعد فى هفى فى ال lung alveolar فى فى ال + +615 +00:53:22,500 --> 00:53:28,000 +bone osteoclast فى ال histiocytes ايضا موجودة طبعا + +616 +00:53:28,000 --> 00:53:31,180 +هى gopher cell و ال microglia + +617 +00:53:35,020 --> 00:53:42,820 +والعبارة عن أنواع خاصة بالأعضاء المختلفة أيضا ال + +618 +00:53:42,820 --> 00:53:46,480 +macro phage activation ممكن أنه لها اكتر من ايش + +619 +00:53:46,480 --> 00:53:52,900 +اكتر من وظيفة ال macro phage وهذه الوظائف usually + +620 +00:53:52,900 --> 00:53:58,100 +ال program تبعها driven by micro environmental + +621 +00:53:58,100 --> 00:54:02,560 +signals ف certain cytokine can be released وفي كل + +622 +00:54:02,560 --> 00:54:03,560 +مرة already genetic + +623 +00:54:06,780 --> 00:54:09,920 +changes هتغيرنا ال phenotype و ال functional + +624 +00:54:09,920 --> 00:54:15,080 +plasticity of the macrophage فعلى سبيل الاسئلة قد + +625 +00:54:15,080 --> 00:54:18,440 +تقول ان ال macrophage تلعب يعني سلاح دوحدين هي في + +626 +00:54:18,440 --> 00:54:24,680 +ال gamma interferon بتتحول ل M1 cell في وجود ال + +627 +00:54:24,680 --> 00:54:31,910 +IL4 و IL13 ايضا تتحول ل M2 cellفي وجود الـ Toll + +628 +00:54:31,910 --> 00:54:35,750 +-like receptor تتحول لغاية الـ TIN regulatory اللي + +629 +00:54:35,750 --> 00:54:40,810 +هو الـ Cell طبعا كل واحدة منها دهية فدي عبارة عن + +630 +00:54:40,810 --> 00:54:44,930 +Pro-inflammatory and regulate wound healing فدي + +631 +00:54:44,930 --> 00:54:49,510 +عبارة عن Anti-inflammatory لكن بالمقابل تقريبا + +632 +00:54:49,510 --> 00:54:53,310 +جميع الناس اللي عدوا ع الدين ممكن هذه الخلايا + +633 +00:54:57,590 --> 00:55:02,470 +ماشي تتكون خلايا أخرى زى tumor associated + +634 +00:55:02,470 --> 00:55:11,090 +macrophage و ال myeloid derived stem cell ماشي + +635 +00:55:11,090 --> 00:55:12,410 +هدولة both + +636 +00:55:22,420 --> 00:55:26,040 +Tumorogenesis يعني بيساعدوا في severity of tumor + +637 +00:55:26,040 --> 00:55:30,760 +في هذه الحالة وقرب المقال Myeloid راح تستمثل أصلا + +638 +00:55:30,760 --> 00:55:34,600 +وسلة differentiation من tumor associated with + +639 +00:55:34,600 --> 00:55:42,720 +macrophages وبالتالي في وجود certain طبعا + +640 +00:55:42,720 --> 00:55:46,460 +triggering factor بتتحول وسلة differentiation + +641 +00:55:46,460 --> 00:55:47,380 +بتتكون + +642 +00:55:53,250 --> 00:55:56,010 +هذه صورة لـ Neutrophil under electron microscope + +643 +00:55:56,010 --> 00:56:01,530 +نيوتروفيل خلية أخرى من الفاجوسيدكسيل طبعا الجسم + +644 +00:56:01,530 --> 00:56:04,750 +ينتج + +645 +00:56:04,750 --> 00:56:10,650 +هذه الخلية بسرعة سبعة مليون خلية في الدقيقة + +646 +00:56:10,650 --> 00:56:16,250 +الواحدة تطلع من البوماروال life span تبعتها صغيرة + +647 +00:56:16,250 --> 00:56:20,370 +short-lived بتعيش يومين لتلت أيام و لأن ال + +648 +00:56:20,370 --> 00:56:23,030 +granules تبعتها تحتوي على certain antibiotic + +649 +00:56:23,030 --> 00:56:29,550 +protein و غالبا بيخزن على شاكلتين الشاكلة الأولى + +650 +00:56:29,550 --> 00:56:33,550 +هي عبارة عن primary او بيسموها zoophilic granules + +651 +00:56:33,550 --> 00:56:38,130 +تحتوي على lysozyme containing acid hydrolysis + +652 +00:56:38,130 --> 00:56:39,250 +mylohexidase + +653 +00:56:45,070 --> 00:56:48,510 +والشكل التاني هو عبارة عن الـ secondary granules + +654 +00:56:48,510 --> 00:56:51,790 +ويبقى عبارة عن الـ specific to neutrophil كنتير، + +655 +00:56:51,790 --> 00:56:58,970 +الأكتوفرين والإيزوزاين.Tendritic + +656 +00:56:58,970 --> 00:57:04,870 +cell هي عبارة عن long-lived cell and it resides in + +657 +00:57:04,870 --> 00:57:07,410 +immature state in most tissues. + +658 +00:57:11,410 --> 00:57:16,890 +على ال pathogen الولوفاجو سايتوسيز and they are + +659 +00:57:16,890 --> 00:57:22,130 +found as interdigitating cell of the thymus ال + +660 +00:57:22,130 --> 00:57:27,750 +interdigitating cell هي عبارة عن الخلايا التي تقدم + +661 +00:57:27,750 --> 00:57:31,910 +ال MHC molecule لل T lymphocyte في مراحل مبكرة جدا + +662 +00:57:31,910 --> 00:57:38,560 +حتى تتعرف عليهمثال آخر على الـ Dendritic Cell هو + +663 +00:57:38,560 --> 00:57:43,780 +الـ Langerhansel اللي موجودة في الـ skin. Both are + +664 +00:57:43,780 --> 00:57:47,340 +derived from the same hemoglobin precursor as + +665 +00:57:47,340 --> 00:57:48,240 +monocytes. + +666 +00:57:51,180 --> 00:57:54,840 +Upon direct contact with many pathogens, this will + +667 +00:57:54,840 --> 00:57:55,840 +lead to maturation. + +668 +00:58:15,040 --> 00:58:23,390 +بالتالي مهم جدا في الـ innate و في الأدابالانتجين + +669 +00:58:23,390 --> 00:58:26,610 +للـ T-lymphocyte بتنشطها و T-lymphocyte احنا + +670 +00:58:26,610 --> 00:58:32,070 +اتفقنا ان هي احد أدوات ال adaptive immunity وشوفوا + +671 +00:58:32,070 --> 00:58:39,330 +هيدنتر تكسل ماشي ممكن ترتبط في الانتجين ده هي + +672 +00:58:39,330 --> 00:58:45,810 +رتبطت في الانتجين من خلال ال HLA او ال MRC موجود + +673 +00:58:45,810 --> 00:58:49,490 +بتنشط + +674 +00:58:49,490 --> 00:58:52,270 +ال cytotoxic T-lymphocyte + +675 +00:58:54,010 --> 00:58:58,090 +من خلال رابطتين الرابط الأولانية بيسموها اختار + +676 +00:58:58,090 --> 00:59:02,390 +اللي هو ارتباط ال TCR بالانتجن والرابط التاني من + +677 +00:59:02,390 --> 00:59:08,250 +خلال ارتباط ال B7 CD28 وهو بالتالي بتتنشط اللي هو + +678 +00:59:08,250 --> 00:59:13,710 +ال cytotoxic lymphocyte وبتعمل apoptosis ل tumor + +679 +00:59:13,710 --> 00:59:22,380 +cell أو أيضا ممكن تقدم الانتجن ل CD4 T cellوبرضه + +680 +00:59:22,380 --> 00:59:29,220 +نفس الارتباطات B7 مع CD28 وTCR مع MHC class 2 هناك + +681 +00:59:29,220 --> 00:59:35,160 +class واحدة وبالتالي تتنشط ال CD4 تفرز IL2 تتنشط + +682 +00:59:35,160 --> 00:59:41,440 +cytotoxic أو تفرز gamma interferon وفي وجود CD4 + +683 +00:59:41,440 --> 00:59:48,400 +T40 legend ممكن أيضا اللي هو تتنشط وبالتالي بيصير + +684 +00:59:48,400 --> 00:59:53,440 +فيه زيادة في ال antigen presentationأو يمكن أن + +685 +00:59:53,440 --> 00:59:58,140 +يكون على اكتفاء تعمل اكتفاء مبتدأ لديوم السلم + +686 +00:59:58,140 --> 01:00:03,160 +وبالتالي تحصل على انكسل + +687 +01:00:03,160 --> 01:00:06,680 +انكسل هم أشخاص من نظام الانهيطيبيون + +688 +01:00:09,480 --> 01:00:14,780 +أو لعن خلية متخصصة في ال virally infected cell و + +689 +01:00:14,780 --> 01:00:18,180 +في ال malignant cell against .. بتشتغل against + +690 +01:00:18,180 --> 01:00:25,500 +virally infected cell and eumarginesis و طبعا جبل + +691 +01:00:25,500 --> 01:00:30,280 +ما تشتغل ال TE cytotoxic lymphocyte بتشتغل ال + +692 +01:00:30,280 --> 01:00:33,620 +Ankycin لأنها أحد أدوات ال innate فال innate + +693 +01:00:33,620 --> 01:00:39,060 +بيشتغل جبل مين؟ جبل الأدابةهي كوكب كبيرة و جرانيلة + +694 +01:00:39,060 --> 01:00:43,140 +و لينفوسية و لديها القدرة على إعادة إعادة إعادة + +695 +01:00:43,140 --> 01:00:44,040 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +696 +01:00:44,040 --> 01:00:47,520 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +697 +01:00:47,520 --> 01:00:50,240 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +698 +01:00:50,240 --> 01:00:50,300 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +699 +01:00:50,300 --> 01:00:53,780 +إعادة إعادة إعادة إعادة إعادة إعادة إعادة إعادة + +700 +01:00:53,780 --> 01:01:01,380 +إعادة إعادة إعادة إعادة إعادة + +701 +01:01:01,380 --> 01:01:04,600 +إعاد + +702 +01:01:09,670 --> 01:01:15,170 +أو تعمل cytotoxicity تسمم الخلية المصابة وبالتالي + +703 +01:01:15,170 --> 01:01:22,190 +تقتلها ماشي أو ال tumor cell دقيقة بتروح و هي + +704 +01:01:22,190 --> 01:01:26,710 +مرتبطة هنا من خلالها من خلال ال activating + +705 +01:01:26,710 --> 01:01:30,730 +receptor ده هو طبعا ب stress induced legend و + +706 +01:01:30,730 --> 01:01:36,010 +اتنشطت و طبعا افرازات اللي هو granules عملت lysis + +707 +01:01:36,010 --> 01:01:37,110 +of the target cell + +708 +01:01:47,570 --> 01:01:51,130 +كيفية تم عملية القتل ده هي طبعا هي الانكي سيل + +709 +01:01:51,130 --> 01:01:59,290 +ارتبطت بين ال virus infected cell قتلتها عملت + +710 +01:01:59,290 --> 01:02:03,650 +degranulation قتلتها وارتبطت هنا ب injured cell و + +711 +01:02:03,650 --> 01:02:10,930 +برضه عملت degranulation و راح قتلتها في ال Bهذا هي + +712 +01:02:10,930 --> 01:02:17,850 +micro phage طلعت لجتها عاملة phagocytosis ل micro + +713 +01:02:17,850 --> 01:02:26,430 +و لما تعمل phagocytosis ل micro phage بتتنشر طبعا + +714 +01:02:26,430 --> 01:02:35,840 +فبتقدم ال antigen هذا هي و بتفرز cytokineيبقى + +715 +01:02:35,840 --> 01:02:39,680 +بيصير في direct contact أول ثم بيصير في release of + +716 +01:02:39,680 --> 01:02:45,080 +cytokine في هذه الحالة إذا كان أفراز IL-12 بتروح + +717 +01:02:45,080 --> 01:02:53,100 +هي الانكس المتنشطة ومطلعة gamma interferon اللي + +718 +01:02:53,100 --> 01:02:56,900 +بتحفز ال microphage على قتل الميكروب اللي في + +719 +01:02:56,900 --> 01:03:03,100 +داخلها فبصير في killing لل phagocytosed microbe + +720 +01:03:04,300 --> 01:03:07,860 +يبقى إما بتعمل direct killing by degranulation + +721 +01:03:07,860 --> 01:03:13,440 +وإما إنها تقدملها الانتجم طريقة معينة by source و + +722 +01:03:13,440 --> 01:03:17,840 +in the presence of certain cytokines زي IR12 تتنشط + +723 +01:03:17,840 --> 01:03:21,220 +و تفرز جمعين ترفيرون فبتحفظ الماكروفيجي علاقات + +724 +01:03:21,220 --> 01:03:29,880 +مافي داخلها الانكسل أيضا express non-TCR ماعليهاش + +725 +01:03:29,880 --> 01:03:31,580 +TCR related receptor + +726 +01:03:34,390 --> 01:03:40,150 +TCR ريسبتور وانما عليها other ريسبتور زي ال killer + +727 +01:03:40,150 --> 01:03:50,290 +cell inhibitor ريسبتور و killer activating ريسبتور + +728 +01:03:50,290 --> 01:03:56,770 +ال KIR specific for MHC class 1 molecule + +729 +01:03:59,600 --> 01:04:03,980 +وعملية القتل عادة بتتم من خلال release of certain + +730 +01:04:03,980 --> 01:04:09,220 +cytotoxic molecules بعضهم بيعمل عملية خرج يعني + +731 +01:04:09,220 --> 01:04:15,140 +formation of a hole in the target cell و التاني + +732 +01:04:15,140 --> 01:04:20,880 +بدخل و بيعمل license للخلية by activation of + +733 +01:04:20,880 --> 01:04:29,180 +apoptosis mechanism ماشي يبقى هي ال anky cellعلى + +734 +01:04:29,180 --> 01:04:34,160 +سطحه Receptor واحد اسمه Inhibitory ده هو ال KIR + +735 +01:04:34,160 --> 01:04:40,580 +والتاني Activatory ال Inhibitory specific for MSC + +736 +01:04:40,580 --> 01:04:48,460 +class 1 molecule و ال activating receptor بيرتبط ب + +737 +01:04:48,460 --> 01:04:51,920 +legend اسمه activating legend على سطح ال target + +738 +01:04:51,920 --> 01:04:58,530 +cell ماشي و الأن هنشوف ال mechanismطبعاً زي ما + +739 +01:04:58,530 --> 01:05:02,750 +تشايفين الـ Receptors اللي موجودة ده هي الـ NKCl و + +740 +01:05:02,750 --> 01:05:07,930 +عليها كل دولة Receptors عليها Activating Receptors + +741 +01:05:07,930 --> 01:05:13,170 +زي ما تشايفين و هي متمثلين بالخط الأخضر عليها + +742 +01:05:13,170 --> 01:05:16,470 +Inhibitory Receptors ده هو متمثلين بالخط الأحمر + +743 +01:05:16,470 --> 01:05:21,710 +عليها Gemotactic Receptors متمثلين بالموف هذا + +744 +01:05:21,710 --> 01:05:27,680 +عليها Adhesion Receptors ده هووهي طبعا في cytokine + +745 +01:05:27,680 --> 01:05:31,480 +receptor موجودين في منطقة ال air activating + +746 +01:05:31,480 --> 01:05:35,860 +receptor كيف + +747 +01:05:35,860 --> 01:05:43,560 +نتحكم بعمل ال anky cell يعني ال control of anky + +748 +01:05:43,560 --> 01:05:51,000 +cell ماشي اتفقنا ان في عندنا inhibitory receptor و + +749 +01:05:51,000 --> 01:05:56,980 +activating receptorماذا يحدث؟ جاء الـActivating + +750 +01:05:56,980 --> 01:06:01,760 +طبعاً ده هو الـInhibitor الـCentral هو بره + +751 +01:06:01,760 --> 01:06:06,800 +الـCentral في الامة C Class I موليكيوم يوم + +752 +01:06:06,800 --> 01:06:12,560 +يكون موجود لما الـC Class I موليكيوم يروحوا مرتبط + +753 +01:06:12,560 --> 01:06:20,560 +بالـKIR ارتباطه بالـKIR بنشط اللي هو Phosphatase + +754 +01:06:20,560 --> 01:06:22,080 +enzyme + +755 +01:06:24,270 --> 01:06:28,850 +و ال phosphatase بيعمل dephosphorylation لل + +756 +01:06:28,850 --> 01:06:32,950 +protein tyrosine kinase وبالتالي بيعمل inhibition + +757 +01:06:32,950 --> 01:06:38,450 +لل activating receptor و بيصير فيه ايش inhibitory + +758 +01:06:38,450 --> 01:06:43,960 +action مرة تانية يوم ما تيجي خلية سريمةفدهي هنا + +759 +01:06:43,960 --> 01:06:50,100 +تحت خلية سليمة الخلايا السليمة عادة على سطحها MSC + +760 +01:06:50,100 --> 01:06:54,020 +Class I Molecule Anisomatic Cell عليها سطحها MSC + +761 +01:06:54,020 --> 01:06:58,840 +Class I Molecule فطبعا وجود MSC Class I Molecule + +762 +01:06:58,840 --> 01:07:05,480 +هو مرتبط الخلية أنما تصادف عن K Cell تروحوا يمرتبط + +763 +01:07:05,480 --> 01:07:09,180 +بيه وبالتالي بتنشط اللي هو + +764 +01:07:11,910 --> 01:07:14,990 +ماشي فوسفاتيز انزعام، شو بعمل؟ بعمل + +765 +01:07:14,990 --> 01:07:18,430 +dephosphorylation للبروتين تالوزين كاينيز وين + +766 +01:07:18,430 --> 01:07:22,390 +موجود على ال activating receptor وبالتالي بعمله + +767 +01:07:22,390 --> 01:07:29,830 +انهيبش في غياب ال MHC class one molecule في غيابه، + +768 +01:07:29,830 --> 01:07:33,700 +شو اللي بيصير؟كانوا والله في غيابه ال activating + +769 +01:07:33,700 --> 01:07:39,320 +receptor بده يصله في exfoliation يتمشط ويرتبط بمين + +770 +01:07:39,320 --> 01:07:43,160 +من الليجين تبعه اللي موجودة على ال target cell + +771 +01:07:43,160 --> 01:07:47,400 +وصير في ارتباط وبالتالي بيصير عملية قتل لأن زي ما + +772 +01:07:47,400 --> 01:07:51,240 +انتوا شايفين هنا الخلية لم تقتل لأنه في عالية + +773 +01:07:51,240 --> 01:07:54,180 +سطحها inhibitory receptor امازي class I molecular + +774 +01:07:54,180 --> 01:08:04,220 +و هنا قتلت لأنه في غياب لليبس وان molecule في بعض + +775 +01:08:04,220 --> 01:08:09,600 +مرات شو اللي بيصير بيصير في انه الخلايا بتكون over + +776 +01:08:09,600 --> 01:08:13,180 +stressed يعني stressed cell بيسموها stressed cell + +777 +01:08:13,180 --> 01:08:18,000 +و بيصير في هذه الحالة induction او expression ل + +778 +01:08:18,000 --> 01:08:22,970 +activating ligand اكتر من واحدماشي وبالتالي لما + +779 +01:08:22,970 --> 01:08:29,030 +يمسك اكتر من واحد activating ligand في activating + +780 +01:08:29,030 --> 01:08:32,090 +receptor على سطح الخلية يمسك فيه activating ligand + +781 +01:08:32,090 --> 01:08:35,350 +طبعا في هذه الحالة بيصير عملية قتل ال stressed + +782 +01:08:35,350 --> 01:08:39,850 +cell قتل ايه؟ و اكتر ايش بيصير فيه stressed cell + +783 +01:08:39,850 --> 01:08:49,010 +لإنه يوم يكون فيه infection و acute infection فهي + +784 +01:08:49,010 --> 01:08:49,510 +receptor + +785 +01:09:01,980 --> 01:09:04,820 +Pattern recognition receptor other than اللي + +786 +01:09:04,820 --> 01:09:10,120 +حكيناه سابقا ده ال F مثل لويسين في نطاب ال + +787 +01:09:10,120 --> 01:09:13,480 +receptor موجود على سطح النيوتروفيولوجيتال + +788 +01:09:13,480 --> 01:09:17,200 +ككينوتاكتك ال receptor برتبط في الunformulated + +789 +01:09:17,200 --> 01:09:22,200 +peptide بسيارة البكتيريا وبالتالي بيوجه البكتيريا + +790 +01:09:22,200 --> 01:09:26,480 +إلى مكان ال infection منهان by neglecting + +791 +01:09:32,140 --> 01:09:39,560 +لتعرف على الميكروبط اللي يسمّى pathogenic و ايضا + +792 +01:09:39,560 --> 01:09:48,020 +ارتباط الفاجوسايت منهز binding لكتين لسيبتل بهذه + +793 +01:09:48,020 --> 01:09:52,860 +السكريات اللي موجودة على سطحها هيأدى الactivation + +794 +01:09:52,860 --> 01:09:57,220 +of lictin pathway of the complement كما انتوا + +795 +01:09:57,220 --> 01:10:02,210 +شايفين هناالمانوز مرتبط بشرين البروتيز واحد واثنين + +796 +01:10:02,210 --> 01:10:05,970 +دول عبارة عن enzymes بنشط السكاريجيات مهينة هان + +797 +01:10:05,970 --> 01:10:12,270 +وبالتالي بترتمشط الخلية + +798 +01:10:12,270 --> 01:10:22,830 +وبتعمل عمل إفقاط للميكروب + +799 +01:10:22,830 --> 01:10:26,370 +قد الريسيبتور الاسكابينجيا الريسيبتور + +800 +01:10:45,220 --> 01:10:48,820 +مجموعة من الوثائق المعروفة من مجموعة من الوثائق + +801 +01:10:48,820 --> 01:10:53,020 +المعروفة من + +802 +01:10:56,720 --> 01:11:00,620 +بالنسبة لـ Adaptive immunity لأنه بيصير فيه + +803 +01:11:00,620 --> 01:11:06,400 +release of certain cytokine طبعا certain cytokine + +804 +01:11:06,400 --> 01:11:10,900 +بيؤدي الى activation of adaptive immunity هو تنشيط + +805 +01:11:10,900 --> 01:11:18,520 +ال co-stimulatory reaction why؟ + +806 +01:11:18,520 --> 01:11:21,280 +أولا عن ال receptors عليه certain toll-like + +807 +01:11:21,280 --> 01:11:27,530 +receptor كل واحدبتعرف على certain antigen فهي تلعب + +808 +01:11:27,530 --> 01:11:31,050 +ريسيبتور أربعة و خمسة بتعرف على اللايب و لسه كرايب + +809 +01:11:31,050 --> 01:11:35,930 +و واحد و اتنين و ستة بتعرف على لايب و بيبتايد + +810 +01:11:35,930 --> 01:11:40,230 +موجودة في gram نيجاتين بكتيريا في gram نيجاتين و + +811 +01:11:40,230 --> 01:11:44,750 +تلاتة أو سبعة أو تمانية أو تسعة بتعرفوا على ويرل + +812 +01:11:44,750 --> 01:11:46,250 +انبكتيريا النكليكاسيد + +813 +01:11:52,560 --> 01:11:58,320 +الـ Peptide و Glycine عبارة عن Peptide او ال + +814 +01:11:58,320 --> 01:12:05,000 +pathogen component ارتبط بتقول ريسبتر واحد اتنين و + +815 +01:12:05,000 --> 01:12:08,860 +خمسة و ستة كلهم specific له لل Peptide و Glycine + +816 +01:12:08,860 --> 01:12:10,740 +طبعا هذا بينشط + +817 +01:12:19,490 --> 01:12:24,230 +الذي يؤدي الى expression of inflammatory gene الذي + +818 +01:12:24,230 --> 01:12:24,350 +يؤدي الى expression of inflammatory gene الذي يؤدي + +819 +01:12:24,350 --> 01:12:25,490 +الى expression of inflammatory gene الذي يؤدي الى + +820 +01:12:25,490 --> 01:12:26,390 +expression of inflammatory gene الذي يؤدي الى + +821 +01:12:26,390 --> 01:12:27,030 +expression of inflammatory gene الذي يؤدي الى + +822 +01:12:27,030 --> 01:12:27,550 +expression of inflammatory gene الذي يؤدي الى + +823 +01:12:27,550 --> 01:12:27,550 +expression of inflammatory gene الذي يؤدي الى + +824 +01:12:27,550 --> 01:12:27,550 +expression of inflammatory gene الذي يؤدي الى + +825 +01:12:27,550 --> 01:12:29,490 +expression of inflammatory gene الذي يؤدي الى + +826 +01:12:29,490 --> 01:12:30,570 +expression of inflammatory gene الذي يؤدي الى + +827 +01:12:30,570 --> 01:12:30,990 +expression of inflammatory gene الذي يؤدي الى + +828 +01:12:30,990 --> 01:12:31,190 +expression of inflammatory gene الذي يؤدي الى + +829 +01:12:31,190 --> 01:12:32,730 +expression of inflammatory gene الذي يؤدي الى + +830 +01:12:32,730 --> 01:12:34,910 +expression of inflammatory gene الذي يؤدي الى + +831 +01:12:34,910 --> 01:12:35,530 +expression of inflammatory gene الذي يؤدي الى + +832 +01:12:35,530 --> 01:12:38,850 +expression of inflammatory gene الذي + +833 +01:12:38,850 --> 01:12:41,550 +يؤدي الى expression of inflammatory gene الذي + +834 +01:12:42,930 --> 01:12:47,930 +Stimulation of Adaptive Immunity طبعاً هذا الكلام + +835 +01:12:47,930 --> 01:12:51,010 +ممكن يصير في حالة اللايبوب ومو لسه كرايض لو طلعت + +836 +01:12:51,010 --> 01:12:57,410 +رسالته أربع ماشي هذا بنشط برضه ممكن يساعد أو + +837 +01:12:57,410 --> 01:13:03,730 +automatically ممكن ينشط ال adaptive protein اللي + +838 +01:13:03,730 --> 01:13:10,550 +هو معيدي 88 أو يستعين بأخر protein زي ال TRIF + +839 +01:13:14,570 --> 01:13:20,070 +النشطة الان اف كعب او بي ريسبتور ال transcription + +840 +01:13:20,070 --> 01:13:24,410 +factor sorry وهذا بيقلق بيقلق بيقلق بيقلق بيقلق + +841 +01:13:24,410 --> 01:13:24,950 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +842 +01:13:24,950 --> 01:13:26,070 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +843 +01:13:26,070 --> 01:13:26,070 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +844 +01:13:26,070 --> 01:13:26,810 +بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق بيقلق + +845 +01:13:26,810 --> 01:13:35,090 +بيقلق + +846 +01:13:35,090 --> 01:13:43,530 +بيقلق + +847 +01:13:43,530 --> 01:13:51,650 +بماشي يرتبط ب single strand RNA او CBD DNA ماشي او + +848 +01:13:51,650 --> 01:13:55,850 +to like receptor تلاتة اللي ممكن يرتبط ب double + +849 +01:13:55,850 --> 01:14:01,990 +strand RNA طبعا نفس الميكانيزم هي هذا بيستعين ب + +850 +01:14:01,990 --> 01:14:08,250 +TRIF adaptoriprotein وهذا بيستعين ب MYD + +851 +01:14:08,250 --> 01:14:13,650 +adaptoriprotein + +852 +01:14:15,030 --> 01:14:17,790 +سواء كان هذا الميكانيزم أو هذا الميكانيزم محاصر بـ + +853 +01:14:17,790 --> 01:14:22,330 +acute inflammation وAntiviral + +854 +01:14:22,330 --> 01:14:26,450 +states ميكانيزم + +855 +01:14:26,450 --> 01:14:29,910 +آخر اسمه الـ nucleotide winding oligomerization + +856 +01:14:29,910 --> 01:14:37,050 +domain اللي هو اختصارها NOD-like receptor دول + +857 +01:14:37,050 --> 01:14:44,010 +موجودين في الـ cytosolوبتعرفوا على الـ alert cell + +858 +01:14:44,010 --> 01:14:48,850 +to invasion by intracellular pathogen دخل انتجن في + +859 +01:14:48,850 --> 01:14:55,010 +داخل الخلية بيحفظ بينشط اللي هو الخلايا للتعرف + +860 +01:14:55,010 --> 01:15:00,130 +عليه و لإرتباط فيه غالبا بسله activation اما by + +861 +01:15:00,130 --> 01:15:05,640 +bacteria derived molecule زي الالتي رأيناها أولًا + +862 +01:15:05,640 --> 01:15:11,200 +الـRNA أو الـOxytocin والفلاجلين في الـCytosol بس + +863 +01:15:11,200 --> 01:15:14,300 +يرتبطه مدلعك ريسيكتور انشياتي بروجرام of cellular + +864 +01:15:14,300 --> 01:15:19,620 +activity وحصلتها انفلاماتوري ريسبونس واخرى + +865 +01:15:19,620 --> 01:15:21,620 +ميكانيزات محافظة الروحانية مثل الانفكشن + +866 +01:15:21,620 --> 01:15:23,540 +الانتفارالي + +867 +01:15:26,720 --> 01:15:31,560 +الرسيبتور اللي هو not like receptor الجين بيؤدي + +868 +01:15:31,560 --> 01:15:38,680 +إلى chronic disease ومن أشرها الأزمة هذا + +869 +01:15:38,680 --> 01:15:40,580 +بالنسبة لل innate immunity + +870 +01:15:47,980 --> 01:15:51,740 +اللي بيصير فيه generation of antigen specific + +871 +01:15:51,740 --> 01:15:56,780 +lymphocyte ولمّا تتنشر في هذه الخلايا بيسموها + +872 +01:15:56,780 --> 01:16:01,520 +effector cell شو بيسموها effector cell generation + +873 +01:16:01,520 --> 01:16:05,560 +of mimic cell أيضًا يحدث في ال adaptive immunity + +874 +01:16:08,580 --> 01:16:15,340 +يقولنا it takes time تحتاج ل 96 ساعة at least and + +875 +01:16:15,340 --> 01:16:19,300 +it exhibits specificity against foreign substrates + +876 +01:16:19,300 --> 01:16:26,260 +وانها specific شو + +877 +01:16:26,260 --> 01:16:30,930 +اللي بيصير؟اللي بيصير انه ال reaction بيتم في ال + +878 +01:16:30,930 --> 01:16:34,050 +secondary lymphoid organs طيب إيش ال secondary + +879 +01:16:34,050 --> 01:16:36,710 +lymphoid organs؟ خليني أتعرف بشكل عام الآن على ال + +880 +01:16:36,710 --> 01:16:40,050 +lymphatic organs وقالوا ال lymphatic organs هي + +881 +01:16:40,050 --> 01:16:43,390 +مقارنة عن ال size in which lymphocyte maturation + +882 +01:16:43,390 --> 01:16:45,770 +and differentiation and proliferation take place + +883 +01:16:45,770 --> 01:16:50,210 +يبقى ال lymphocyte تتنشط بسبب differentiation و + +884 +01:16:50,210 --> 01:16:54,750 +proliferation و maturation في ال lymphoid organs + +885 +01:16:57,220 --> 01:17:00,920 +Primary أو Central lymphoid organ زي المولمر + +886 +01:17:00,920 --> 01:17:07,000 +والثائمس اللي بيصير فيه ان هذه الخلايا ال B و T + +887 +01:17:07,000 --> 01:17:12,080 +lymphocyte تتنشط و سلمه sorry سلمه maturation و + +888 +01:17:12,080 --> 01:17:18,960 +بتكتسب antigen specific للcenter في غياب ال + +889 +01:17:18,960 --> 01:17:20,440 +antigen عشان هيك بيسموها + +890 +01:17:25,850 --> 01:17:31,510 +بتطلع الخلايا mature وعلى سطحها receptor وكل خلية + +891 +01:17:31,510 --> 01:17:37,590 +is specific only for one antigenفبصير لها + +892 +01:17:37,590 --> 01:17:43,750 +circulation و بعدها بتلف او سموها homing بتبدأ تلف + +893 +01:17:43,750 --> 01:17:49,570 +و تبقى looking for antigen والله اذا كان مالجتهش + +894 +01:17:49,570 --> 01:17:54,570 +it will die by the end of its lifespan اذا كان + +895 +01:17:54,570 --> 01:17:57,970 +لجته بتاخده و تروح على ال secondary lymphoid + +896 +01:17:57,970 --> 01:18:01,350 +organs وفي ال secondary lymphoid organs بصير عملية + +897 +01:18:01,350 --> 01:18:02,770 +proliferation و differentiation + +898 +01:18:14,910 --> 01:18:19,370 +الـ immune response و هذه مواقع طبعا secondary + +899 +01:18:19,370 --> 01:18:23,730 +lymphoid organs طبعا ال .. sorry ال .. ال .. ال + +900 +01:18:23,730 --> 01:18:26,810 +lymphoid organs شكرا جزيلا من أشهر خليني أدى في ال + +901 +01:18:26,810 --> 01:18:29,470 +.. في ال primary lymphoid organs بقولنا thymus و + +902 +01:18:29,470 --> 01:18:36,770 +bone marrow thymus هي عبارة عن قدة موجودة + +903 +01:18:36,770 --> 01:18:40,950 +في ال thoracic cavity over + +904 +01:18:43,500 --> 01:18:50,480 +ماشي وفيها عملية ملوش maturation and proliferation + +905 +01:18:50,480 --> 01:18:54,660 +of T lymphocytes طيب ايش اللي بيصير؟ + +906 +01:18:57,980 --> 01:19:00,780 +sorry بيصير في maturation of lymphocyte + +907 +01:19:00,780 --> 01:19:05,960 +differentiation و ال .. و ال .. و ال proliferation + +908 +01:19:05,960 --> 01:19:08,840 +بيصير في السكان المفضل، هان بس بيصير ايش؟ + +909 +01:19:08,840 --> 01:19:17,230 +maturation و learning of T lymphocyte، ماشي؟هي + +910 +01:19:17,230 --> 01:19:20,790 +عبارة عن Thymus gland is a lymphoid-piloid + +911 +01:19:20,790 --> 01:19:25,830 +structure في مرحلة مبكرة جدا ال T lymphocytes + +912 +01:19:25,830 --> 01:19:30,890 +precursor cell بتروح عليها و هناك بتم عملية + +913 +01:19:30,890 --> 01:19:31,610 +تعليمها + +914 +01:19:37,790 --> 01:19:41,610 +الطبيعي During fetal development, the size of the + +915 +01:19:41,610 --> 01:19:45,390 +thymus increases. The growth continues until + +916 +01:19:45,390 --> 01:19:50,990 +puberty. دلتنم وتكبر تنم وتكبر هذه الغدة لغاية سن + +917 +01:19:50,990 --> 01:19:54,050 +البلوغ thereafter the thymus undergoes atrophy بعد + +918 +01:19:54,050 --> 01:20:00,810 +هيك بسنها atrophy by aging تتكون من جزئين مهمين + +919 +01:20:00,810 --> 01:20:06,910 +Cortex وMedullaوهذه مفتوحة بـ Thymocyte، + +920 +01:20:06,910 --> 01:20:12,590 +تلينفوسايت مادور في البرتقال ومشهورة إلى الميدالة، + +921 +01:20:12,590 --> 01:20:17,710 +حيث يجد أيضًا ميكروفاج ودنتراتكسيل في الميدالة. + +922 +01:20:21,140 --> 01:20:24,680 +وهذا هو ال thymus موجود زى ما انتوا شايفين يتكامل + +923 +01:20:24,680 --> 01:20:30,700 +جزءين جزء كورتكس وجزء مضلة تيجى ال endothelial T + +924 +01:20:30,700 --> 01:20:34,940 +cell في مرحلة وقتها بتخش على ال .. على ال cortex + +925 +01:20:34,940 --> 01:20:45,680 +فى ال cortex بتتم أمانية تدريبها ثم ب ..وبتنزل على + +926 +01:20:45,680 --> 01:20:52,420 +المضالع either CD4 أو CD8 و هناك بيكون فيه هي + +927 +01:20:52,420 --> 01:20:58,720 +موجودة و ال macro phage موجود و ال dendrite excel + +928 +01:20:58,720 --> 01:21:06,760 +موجودين وبالتالي ممكنية تنشيطها + +929 +01:21:06,760 --> 01:21:16,520 +بتملكنها تظهر على البريفرال بلد اذا ماتشور هذا هو + +930 +01:21:16,520 --> 01:21:19,900 +خاطس ال maturation of lymphocyte هي common + +931 +01:21:19,900 --> 01:21:25,000 +lymphoid precursor بيدينا اما بي و اما ت ال بي في + +932 +01:21:25,000 --> 01:21:29,700 +البولمار هو بالضل وسم لها maturation و بعدها تظهر + +933 +01:21:29,700 --> 01:21:36,260 +ك immature بي على ال peripheral bloodو يومد واجه + +934 +01:21:36,260 --> 01:21:41,280 +الانتيجين مثلها proliferation و بتاخد طبعا + +935 +01:21:41,280 --> 01:21:43,700 +الانتيجين بتواجهه في ال secondary lymphoid organs + +936 +01:21:43,700 --> 01:21:49,400 +تتحول إلى plasma سلوك تتكون من ال antibodyالـ T + +937 +01:21:49,400 --> 01:21:53,580 +بتهجر في مرحلة مبكرة على الـ Thymus و من هناك + +938 +01:21:53,580 --> 01:21:58,160 +بتنضج الى mature naïve T lymphocytes بتروح ال + +939 +01:21:58,160 --> 01:22:01,060 +preference circulation و ال preference circulation + +940 +01:22:01,060 --> 01:22:04,680 +بتروح ال secondary lymphoid organs و بتصيرت عملية + +941 +01:22:04,680 --> 01:22:07,460 +اللي هو recirculation بلاية ما تلاقي الالتجين + +942 +01:22:07,460 --> 01:22:15,440 +تاخده و بتهجمه في ال secondary lymphoid organs في + +943 +01:22:15,440 --> 01:22:17,060 +ال embryonic life البون مارو + +944 +01:22:20,210 --> 01:22:26,950 +بتطلع لنا بيسل which differentiate بدري اللي بيكون + +945 +01:22:26,950 --> 01:22:29,110 +مسؤول عن ال differentiation تبعها الفيتا ال liver + +946 +01:22:29,110 --> 01:22:32,970 +و after birth ال bone marrow هو اللي بيشتغل و + +947 +01:22:32,970 --> 01:22:36,530 +الفيتا ال liver بيجف ال بيسل mature in ال bone + +948 +01:22:36,530 --> 01:22:41,830 +marrow و بتبدأ تحصل على ال BCR اللي هو antigen + +949 +01:22:41,830 --> 01:22:47,430 +specific receptor و لإنه structural and specific + +950 +01:22:47,430 --> 01:22:54,820 +identical to antibodyبشكل أساسي ومميزته تبعته تكون + +951 +01:22:54,820 --> 01:22:59,880 +مميزة للـ Antibody اللي بده يتصنع بـ B-cell في + +952 +01:22:59,880 --> 01:23:05,640 +المستقبل. الـ B-cell ممتعين يتم تحميله بمشاركة + +953 +01:23:05,640 --> 01:23:08,640 +الدم للعضلات اللينفويدية الأعضاء اللينفويدية + +954 +01:23:08,640 --> 01:23:09,440 +الأعضاء اللينفويدية الأعضاء اللينفويدية + +955 +01:23:09,440 --> 01:23:09,940 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +956 +01:23:09,940 --> 01:23:11,620 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +957 +01:23:11,620 --> 01:23:14,180 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +958 +01:23:14,180 --> 01:23:14,200 +اللينفويدية اللينفويدية اللينفويدية اللينفويدية + +959 +01:23:14,200 --> 01:23:14,200 +اللينفويدية اللينفويدية اللين + +960 +01:23:17,330 --> 01:23:21,470 +Trapping and Concentrating Secondary lymphoid + +961 +01:23:21,470 --> 01:23:26,090 +organs اللي هو two major function عملية نصية لفرن + +962 +01:23:26,090 --> 01:23:30,910 +substance نبرتنين هو المكان اللي بينتج فيه + +963 +01:23:30,910 --> 01:23:36,530 +antibody و بيتم فيه induction of antigen specific + +964 +01:23:36,530 --> 01:23:41,670 +T lymphocyte هو + +965 +01:23:41,670 --> 01:23:45,970 +دي secondary lymphoid organs ده هو ال + +966 +01:23:50,890 --> 01:23:54,190 +و ال white و ال red مسؤول عن ال polyp المسؤول عن + +967 +01:23:54,190 --> 01:24:03,630 +ال RBC's طبعا بيدخلوا ال antigen من + +968 +01:24:03,630 --> 01:24:11,010 +خلال الدمو هيدخل على اللي هو ال white bulib و red + +969 +01:24:11,010 --> 01:24:13,870 +bulib ال RBC's هناك بتتصفى فى ال red و ال white + +970 +01:24:13,870 --> 01:24:20,990 +BC's بتهاجم فى ال germinal center اللى موجود فى + +971 +01:24:20,990 --> 01:24:27,530 +ليهش فى ال white bulib و هذا عبارة عن lymph nodes + +972 +01:24:27,530 --> 01:24:37,840 +ماشي هذا هي فى efferent و فى afferentمشي بيخش الاش + +973 +01:24:37,840 --> 01:24:40,980 +الليمف + +974 +01:24:40,980 --> 01:24:46,980 +من الافيراند و بيطلع من الاش من الافيراند و طبعا + +975 +01:24:46,980 --> 01:24:52,260 +زي ما انتوا شايفين في germinal centers فيها ال بي + +976 +01:24:52,260 --> 01:24:56,980 +و ال dendritexel و الماجروفيل و ال telemphocyte + +977 +01:24:56,980 --> 01:25:01,520 +deep cortical area و ال paracortical region + +978 +01:25:01,520 --> 01:25:06,780 +contain telemphocyte and dendritexelيعني في ال + +979 +01:25:06,780 --> 01:25:11,560 +cortex أو في الديب أو في ال paracortex مولودة T + +980 +01:25:11,560 --> 01:25:16,560 +lymphocyte dendritic cell في + +981 +01:25:16,560 --> 01:25:22,240 +المدلة بيحتوي على antibody-secreting plasma cell + +982 +01:25:22,240 --> 01:25:27,840 +اللي أصلا traveled from the cortex + +983 +01:25:31,440 --> 01:25:37,580 +خط سير lymphocyte circulation blood lymphocytes + +984 +01:25:37,580 --> 01:25:43,080 +post capillary venule lymph nodes efferent + +985 +01:25:43,080 --> 01:25:46,900 +lymphatic + +986 +01:25:46,900 --> 01:25:50,480 +vessels through a thoracic duct + +987 +01:26:00,280 --> 01:26:05,520 +من ال .. + +988 +01:26:05,520 --> 01:26:09,440 +الأماكن التصنيحية سواء كان بونور أو أورثايموس و + +989 +01:26:09,440 --> 01:26:15,030 +بتطلع علىالـ secondary fluid organs والمثال هنا + +990 +01:26:15,030 --> 01:26:19,810 +على ال lymph node هي post capillary venules ثم + +991 +01:26:19,810 --> 01:26:23,370 +lymph node ثم تخرج من ال lymph node to the + +992 +01:26:23,370 --> 01:26:27,770 +efferent lymphatic vessels وتروح على ثلاثة cavity + +993 +01:26:27,770 --> 01:26:34,150 +وردكت ثم فينا كافة ثم hard و بتضل برضه تضخ مرة + +994 +01:26:34,150 --> 01:26:36,470 +تانية في blood circulation + +995 +01:26:40,870 --> 01:26:44,470 +الانتجن دخل الانتجن لسكندرى الانفويد اما عن طريق + +996 +01:26:44,470 --> 01:26:44,890 +blood + +997 +01:26:47,620 --> 01:26:51,120 +وروح على ال heart و ال vena cava blood circulation + +998 +01:26:51,120 --> 01:26:55,840 +اللي بياخدوه اما بياخدوه على ال spleen ماشي و في + +999 +01:26:55,840 --> 01:27:00,320 +ال spleen ماشي اللي فيه antibody reproduction و + +1000 +01:27:00,320 --> 01:27:07,160 +بتطلع على blood circulation و اما بتطلع from + +1001 +01:27:07,160 --> 01:27:13,500 +different lymphatics وبالتالي بتلف مرة تانية into + +1002 +01:27:13,500 --> 01:27:18,290 +circulationالجهة دي أول طريقة عن طريق الدم تروح + +1003 +01:27:18,290 --> 01:27:21,950 +على ال spring عن طريق ال tissue ايه ب dermal او + +1004 +01:27:21,950 --> 01:27:27,410 +dermal او subcutaneous بيخش طبعا هي محلاها دغري ال + +1005 +01:27:27,410 --> 01:27:31,870 +afferent lymphatic بيتولاها بياخدها على ال lymph + +1006 +01:27:31,870 --> 01:27:36,230 +nodes و هي بتطلع من ال efferents و هناك مرة تانية + +1007 +01:27:36,230 --> 01:27:40,030 +على T circulation او بتتنشط ال T cell بتنشط بي + +1008 +01:27:40,030 --> 01:27:46,560 +cell و بتطلعنا اللي هو ال B lymphocyteأو الطريقة + +1009 +01:27:46,560 --> 01:27:50,500 +التالتة هي تنسل الـ Pierce-patches التي مباشرة + +1010 +01:27:50,500 --> 01:27:56,200 +تذهب إلى الإفران التلفاتيكي وتظهر مباشرة و هناك + +1011 +01:27:56,200 --> 01:28:02,060 +ممكن تصبح تسل و antibody و B cell activation + +1012 +01:28:04,570 --> 01:28:07,350 +Traffic of lymphocyte between lymphoid and non + +1013 +01:28:07,350 --> 01:28:11,950 +-lymphoid tissues يتأكد من انه على اكسبوزيا لأنتجن + +1014 +01:28:11,950 --> 01:28:16,370 +الانتجن و الانفسايت المحددة لهذا الانتجن هم مجلدين + +1015 +01:28:16,370 --> 01:28:22,310 +في الانفسايت 100% موجود حسب خط سيرة اللتي حكيناها + +1016 +01:28:22,310 --> 01:28:26,130 +الانفسايت والانتجن الاتنين لازم يحشروا في مكان + +1017 +01:28:26,130 --> 01:28:34,200 +واحد ويوم ما يصير فيه التقاء ما بين الانتجن والسوف + +1018 +01:28:34,200 --> 01:28:40,380 +تتحرك و تتحرك و تتحرك و + +1019 +01:28:40,380 --> 01:28:53,390 +تتحرك و تتحرك و تتحرك و تتحرك و تتحرك و تتحركWhere + +1020 +01:28:53,390 --> 01:28:57,250 +antigen persist يعني يوم يدخل الانتجين مرة تانية + +1021 +01:28:57,250 --> 01:29:02,330 +تتركز في مكان ولود الانتجين and الذات بنيز exert + +1022 +01:29:02,330 --> 01:29:07,050 +their protective function وطبعا هناك بتشتغل كخلية + +1023 +01:29:07,050 --> 01:29:11,790 +مناقية شو دور الانتجين ايه شو مصير الانتجين fate + +1024 +01:29:11,790 --> 01:29:16,470 +of الانتجين after penetration كان ال reticulum in + +1025 +01:29:16,470 --> 01:29:19,970 +the cellular system trap for الانتجين بيصير عملية + +1026 +01:29:19,970 --> 01:29:26,350 +صيد للانتجينفي الـ reticulum of the thala system و + +1027 +01:29:26,350 --> 01:29:31,150 +هذا بيؤدي الى engulfment يعني degradation by + +1028 +01:29:31,150 --> 01:29:35,390 +phagocytosis and + +1029 +01:29:35,390 --> 01:29:38,250 +there is constant movement of lymphocyte استمرار + +1030 +01:29:38,250 --> 01:29:40,610 +في ال lymphocyte قاعدة بتتحرك تعمل homing + +1031 +01:29:46,010 --> 01:29:50,770 +ان يصلهم لـ Deposition في مواقع حساسة و استراتيجية + +1032 +01:29:50,770 --> 01:29:56,230 +في الـ lymphatic vessels الـ system also provide + +1033 +01:29:56,230 --> 01:30:02,450 +لصائم و هي secondary lymphoid organs اللي فيها T و + +1034 +01:30:02,450 --> 01:30:07,610 +فيها B lymphocytes they can interact with within a + +1035 +01:30:07,610 --> 01:30:12,390 +very small area to initiate اللي هو اللي هي + +1036 +01:30:12,390 --> 01:30:16,980 +germinal center and immune responseالثلاثه طريقه + +1037 +01:30:16,980 --> 01:30:21,700 +ممكن تتبع من طريق انتجين بعد انه ادخل في داخل + +1038 +01:30:21,700 --> 01:30:27,760 +الجسم تلاته اذا + +1039 +01:30:27,760 --> 01:30:32,900 +انتجين دخل الجسم من خلال نشاط الدموهي تدخل إلى + +1040 +01:30:32,900 --> 01:30:36,480 +الـSpleen، يعني إذا دخل عن طريق bloodstream، يذهب + +1041 +01:30:36,480 --> 01:30:39,160 +إلى الـSpleen، وفي الـSpleen يوجد Antigen + +1042 +01:30:39,160 --> 01:30:42,060 +Presenting Cell متمثلة الـDendritic Cell + +1043 +01:30:42,060 --> 01:30:46,000 +ومونوسايدس وB-Lymphocytes، كلهم بيشتغلوا كAntigen + +1044 +01:30:46,000 --> 01:30:51,680 +Presenting Cell that activate Antigen-specific T + +1045 +01:30:51,680 --> 01:30:57,270 +-Lymphocytesوبالتالي بيبدأ تتنشط خلايا الـ B + +1046 +01:30:57,270 --> 01:31:00,130 +-lymphocyte وتكون انها antibody which can be + +1047 +01:31:00,130 --> 01:31:04,150 +released in the circulation.Lymphocyte then leave + +1048 +01:31:04,150 --> 01:31:08,630 +the spleen through efferent lymphatic to re-enter + +1049 +01:31:08,630 --> 01:31:11,310 +the circulation via the thoracic belt. بعد ذلك + +1050 +01:31:11,310 --> 01:31:15,470 +خلاص بتطلع و تروح تتدور على أنتجين تاني. + +1051 +01:31:21,120 --> 01:31:24,820 +الطريق التاني اللي بيخش الانتجين يتجمد في ديارمال + +1052 +01:31:24,820 --> 01:31:27,300 +أو ديارمال أو ديارمال أو ديارمال أو ديارمال أو + +1053 +01:31:27,300 --> 01:31:28,100 +ديارمال أو ديارمال أو ديارمال أو ديارمال أو + +1054 +01:31:28,100 --> 01:31:34,560 +ديارمال أو ديارمال + +1055 +01:31:34,560 --> 01:31:42,640 +أوThe epidermal اللي هو صب كيوتين يسلي بتتصدى ال + +1056 +01:31:42,640 --> 01:31:46,840 +antigen presenting cell بتتصدى لل antigen بتاخده و + +1057 +01:31:46,840 --> 01:31:50,040 +إما بتعمله فاجوة cytosis و بتجتله و إما بتاخده على + +1058 +01:31:50,040 --> 01:31:54,190 +ال secondary lymphoid organعندما يكون الانتجين + +1059 +01:31:54,190 --> 01:31:56,810 +مخطط من خلال جسم الانتجين المواصل للسلطات مثل + +1060 +01:31:56,810 --> 01:32:01,850 +اليوم ماتسيدو تتاخد ويتم تحميله من خلال الاخران + +1061 +01:32:01,850 --> 01:32:09,570 +اللينفنود من خلال الاخران الليمفاتيكي وفي + +1062 +01:32:09,570 --> 01:32:14,070 +الليمفنود الانتجين والمونوسايد والسلطات + +1063 +01:32:14,070 --> 01:32:19,360 +الليمفاتيكيو الـ T-cell و الـ B-cell كلهم اتفاقوا + +1064 +01:32:19,360 --> 01:32:23,200 +لتنمية المعاركة يبقى هاي الـ two routes الأولاني + +1065 +01:32:23,200 --> 01:32:26,140 +عن طريق الـ spleen تخش على الدم و الدم أخده عن + +1066 +01:32:26,140 --> 01:32:29,320 +طريق الـ spleen على الـ spleen و هناك سرعت الإياش + +1067 +01:32:29,320 --> 01:32:34,920 +المعاركة التاني subcutaneously كفي antipresenting + +1068 +01:32:34,920 --> 01:32:38,560 +cell قاعدة تستنية تاخده تعمل ع ال degradation و .. + +1069 +01:32:38,560 --> 01:32:41,640 +أو تاخده على ال secondary lymphoid organs و هناك + +1070 +01:32:41,640 --> 01:32:43,480 +برضه تتم الإياش المعاركة + +1071 +01:32:45,830 --> 01:32:49,330 +الشيء المميز بالنسبة للأنتيجين هو أن الأنتيبوديات + +1072 +01:32:49,330 --> 01:32:53,450 +اللي كانت تتسيطر على الريفنون تدخل تلك المدارس من + +1073 +01:32:53,450 --> 01:32:56,270 +خلال الـ thrusting duct بعد ذلك تطلع 100% من خلال + +1074 +01:32:56,270 --> 01:33:00,610 +الـ thrusting duct تدخل على الفيناكابا والهارد + +1075 +01:33:00,610 --> 01:33:04,410 +الانتيجين يمكن أن يدخل الجاستر و الانتستينار أو + +1076 +01:33:04,410 --> 01:33:10,190 +الاسبيراطري ترامي وهنا بيصير الواجهة في الجسد + +1077 +01:33:10,190 --> 01:33:13,110 +النيوكوزال المرتبط بالتشوية الريفنون + +1078 +01:33:22,460 --> 01:33:29,700 +انتباطيات موجودة في الانفسايت اللوكال والانفسايت + +1079 +01:33:29,700 --> 01:33:35,040 +اللوكال تدخل عن طريق الاخران اللينفاتيك التنين + +1080 +01:33:35,710 --> 01:33:39,010 +بيروحوا على الـ thoracic duct to the circulation + +1081 +01:33:39,010 --> 01:33:42,330 +and redistributed to various tissues وبتوزعوا على + +1082 +01:33:42,330 --> 01:33:46,750 +كل أنحاء الجسم يعني بعد ما يتولد ال antibody و ال + +1083 +01:33:46,750 --> 01:33:50,550 +lymphocytes فيه تتنشط في ال secondary lymphoid + +1084 +01:33:50,550 --> 01:33:54,770 +organs تطلع من خلال different lymphatic venules + +1085 +01:33:54,770 --> 01:33:59,470 +على ال thoracic duct و من ال thoracic duct على + +1086 +01:33:59,470 --> 01:34:02,550 +الvena cava و ال heart و ال heart بوزح على كل + +1087 +01:34:02,550 --> 01:34:11,380 +أنحاء الجسممن خلال الـ map هذه عبارة عن اللي هو + +1088 +01:34:11,380 --> 01:34:17,020 +figure بيبين لي العلاقة المشتركة ما بين ال innate + +1089 +01:34:17,020 --> 01:34:20,760 +و ال acquired immunity شايفين ال innate من فوق ده + +1090 +01:34:20,760 --> 01:34:25,420 +هي تتكون من هاي ال innate component ال physical + +1091 +01:34:25,420 --> 01:34:29,040 +barrierالـ cells و ال chemicals فده هي لإن ال + +1092 +01:34:29,040 --> 01:34:31,380 +physical barrier متمثلة بال skin و ال mucous + +1093 +01:34:31,380 --> 01:34:35,600 +membrane ال cells متمثلة بال polymorphic nuclear و + +1094 +01:34:35,600 --> 01:34:38,480 +ال phagocystic cell بأنواعها ال chemical barrier + +1095 +01:34:38,480 --> 01:34:43,700 +زي بي اتشه level و ال enzyme مظبوط + +1096 +01:34:43,700 --> 01:34:44,880 +تحت + +1097 +01:34:47,260 --> 01:34:51,220 +الـ Acquired Immunity متمثلة من الـ Antigen + +1098 +01:34:51,220 --> 01:34:56,640 +Specific Receptors سلز زي الـ B سل والـ T سل واحدة + +1099 +01:34:56,640 --> 01:35:01,520 +بتفرز Lيه؟ الـ B سل بتفرز Antibody والـ T سل بتفرز + +1100 +01:35:01,520 --> 01:35:07,830 +Cytokine للاتنين ممكن ينشطوا للـ Ankyselطبعا فوق + +1101 +01:35:07,830 --> 01:35:10,330 +زى ما انتوا شايفين كل الخلايا دى ممكن تفرش + +1102 +01:35:10,330 --> 01:35:14,010 +cytokine ال cytokine تنشط لـ adaptive immunity + +1103 +01:35:14,010 --> 01:35:19,490 +اللى ايضا ممكن تطلع لنا antibody او cytokine نشطه + +1104 +01:35:19,490 --> 01:35:26,310 +للخلايا دى كلها سواء فجو سيدوسي أو انكسل active + +1105 +01:35:26,310 --> 01:35:31,870 +activation cell فبهيك + +1106 +01:35:31,870 --> 01:35:38,370 +بنكون ان شاء الله يعنى مرينابشكل سريع على الأدوات + +1107 +01:35:38,370 --> 01:35:43,750 +المنعية تبع الانيت وتبع ال adaptive immune + +1108 +01:35:43,750 --> 01:35:50,090 +response نشكر لكم حسن الاستماع والسلام عليكم + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/k6fYGUa0Alk_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/k6fYGUa0Alk_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..26b9c4dfd2c0062e3d60691a898e840bb74ada21 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/k6fYGUa0Alk_postprocess.srt @@ -0,0 +1,1956 @@ +1 +00:00:03,760 --> 00:00:07,740 +بسم الله الرحمن الرحيم نلتقي الآن في تكملة جزء + +2 +00:00:07,740 --> 00:00:14,560 +تاني من المحاضرة والتي هي بعنوان immunodeficiency + +3 +00:00:14,560 --> 00:00:18,460 +شرحنا في المحاضرة الأولى ال primary + +4 +00:00:18,460 --> 00:00:21,100 +immunodeficiency disease واليوم ان شاء الله هنحكي + +5 +00:00:21,100 --> 00:00:24,520 +على ال secondary immunodeficiencyو secondary + +6 +00:00:24,520 --> 00:00:28,140 +immunodeficiency من الاسم هي عبارة عن مضاعفات + +7 +00:00:28,140 --> 00:00:33,120 +لأمراض معينة أثرت على جهاز المنارة وبالتالي نتج + +8 +00:00:33,120 --> 00:00:42,380 +immunodeficiency syndrome او disease اشهر + +9 +00:00:42,380 --> 00:00:47,280 +أسبابها هو ال malnutrition وايضا من أشهر أسبابها + +10 +00:00:47,280 --> 00:00:54,860 +هو مضاعفات البعض العلاجات أشهرها كيموثيرابي + +11 +00:00:54,860 --> 00:00:58,620 +كيموثيرابيوتيك ايجانز او immunosuppressive في + +12 +00:00:58,620 --> 00:01:05,300 +حالات كمان ال cancer كمان ال immunosuppressive + +13 +00:01:05,300 --> 00:01:08,520 +treatment في حالات transplantation او ال + +14 +00:01:08,520 --> 00:01:12,980 +autoimmune disease ب autoimmunosuppression ايضا + +15 +00:01:12,980 --> 00:01:17,440 +ممكن نشوفها في حالات ال autoimmune disease with + +16 +00:01:17,440 --> 00:01:23,480 +overwhelming infectionأيضا ماليجنانسي بتؤدي الى + +17 +00:01:23,480 --> 00:01:32,240 +secondary اللى هو immunodeficiency disease طبعا + +18 +00:01:32,240 --> 00:01:35,140 +أشهر هذه الحالات هي acquired immunodeficiency + +19 +00:01:35,140 --> 00:01:41,620 +syndrome اللى هو ال aids وكلنا بنعرف ويروز ال aids + +20 +00:01:41,620 --> 00:01:47,460 +أخدته في ال ويرولوجي هذا هو هتتطلق لأشهر هذه ال + +21 +00:01:47,460 --> 00:01:50,340 +structure و ال component of such + +22 +00:01:56,160 --> 00:02:02,380 +HIV هو الفيروس اللى شوفنا الـ HIV هو الفيروس اللى + +23 +00:02:02,380 --> 00:02:05,340 +شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV هو + +24 +00:02:05,340 --> 00:02:05,420 +الفيروس اللى شوفنا الـ HIV هو الفيروس اللى شوفنا + +25 +00:02:05,420 --> 00:02:05,620 +الـ HIV هو الفيروس اللى شوفنا الـ HIV هو الفيروس + +26 +00:02:05,620 --> 00:02:06,200 +اللى شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV + +27 +00:02:06,200 --> 00:02:07,480 +هو الفيروس اللى شوفنا الـ HIV هو الفيروس اللى + +28 +00:02:07,480 --> 00:02:09,400 +شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV هو + +29 +00:02:09,400 --> 00:02:09,460 +الفيروس اللى شوفنا الـ HIV هو الفيروس اللى شوفنا + +30 +00:02:09,460 --> 00:02:12,360 +اللى شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV + +31 +00:02:12,360 --> 00:02:15,580 +هو الفيروس اللى شوفنا الـ HIV هو الفيروس اللى + +32 +00:02:15,580 --> 00:02:22,290 +شوفنا الـ HIV هو الفيروس اللىالـ Genome is diploid + +33 +00:02:22,290 --> 00:02:28,530 +بيتكوّن من two single strands أخرى عن إيه وبيمتلك + +34 +00:02:28,530 --> 00:02:36,090 +characteristicsof cone shaped core structure طبعا + +35 +00:02:36,090 --> 00:02:39,810 +الفجر واحد ايه واحد بيقوه بي represent the main + +36 +00:02:39,810 --> 00:02:44,870 +component of the virus هنشوفه ال HIV is enveloped + +37 +00:02:44,870 --> 00:02:50,270 +by lipid bilayer derived from the host cell + +38 +00:02:50,270 --> 00:02:55,350 +membrane viral + +39 +00:02:55,350 --> 00:03:00,810 +envelope is studied by virtually or virally + +40 +00:03:02,690 --> 00:03:04,350 +Glycoprotein انفجار انفجار انفجار انفجار + +41 +00:03:04,350 --> 00:03:31,550 +انفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانف + +42 +00:03:35,330 --> 00:03:43,150 +وReverse transcriptase enzyme وبيقولوا + +43 +00:03:43,150 --> 00:03:47,970 +انه بيحتوي + +44 +00:03:47,970 --> 00:03:54,670 +على 1200 موليكيول من P24 و AT وReverse + +45 +00:03:54,670 --> 00:03:59,730 +transcriptase و 280 من P-Lipoprotein 120 + +46 +00:04:03,810 --> 00:04:06,770 +أيضًا الـ HIV-Variant بيحتوي على number of + +47 +00:04:06,770 --> 00:04:10,110 +cellular proteins زي الـ Beta-2 وmicroglobulin + +48 +00:04:10,110 --> 00:04:14,710 +major histocompatibility complex انتجين اكتين and + +49 +00:04:14,710 --> 00:04:21,090 +ubiquity هذه البروتينات مع الـ glycoprotein 120 + +50 +00:04:21,090 --> 00:04:26,850 +surface protein or glycoprotein بتمثل ال adhesion + +51 +00:04:26,850 --> 00:04:31,770 +patches وهي ما تمكن الفيروس cell fusion + +52 +00:04:34,500 --> 00:04:41,440 +وPenetration الأساسي بالتركيز + +53 +00:04:41,440 --> 00:04:46,320 +أيضًا على هذه البروتينات نلاحظ أنها تحتوي على + +54 +00:04:46,320 --> 00:04:52,560 +pathogenesis غير مشكلة في الواقع مثلًا الـVirion + +55 +00:04:52,560 --> 00:04:56,300 +أساسية Class II الموليكيولية قد تشغّل تسل الرسيبتر + +56 +00:04:56,300 --> 00:04:59,300 +تشغّل تسل الرسيبتر تشغّل تسل الرسيبتر تشغل تسل + +57 +00:04:59,300 --> 00:05:01,380 +الرسيبتر تشغل تسل الرسيبتر تشغل تسل الرسيبتر تشغل + +58 +00:05:01,380 --> 00:05:02,680 +تسل الرسيبتر تشغل تسل الرسيبتر تشغل تسل الرسيبتر + +59 +00:05:05,890 --> 00:05:13,090 +أسلام كمان تأدي إشارة للـ T lymphocytes لقتل نفسها + +60 +00:05:13,090 --> 00:05:19,750 +Cellular targets of HIV infection قالوا ت infect + +61 +00:05:19,750 --> 00:05:26,710 +CD4 T lymphocyte CD4 positive monocyte macrophage + +62 +00:05:26,710 --> 00:05:32,610 +including microglia CD4 Dendritic cell including + +63 +00:05:32,610 --> 00:05:33,950 +Langerhans cells + +64 +00:05:38,460 --> 00:05:43,960 +ماشي إصابات يعني لـ T lymphocytes و الـ antigen + +65 +00:05:43,960 --> 00:05:46,560 +present in cell Attachment follicular dendritic + +66 +00:05:46,560 --> 00:05:50,240 +cell in lymph nodes أمثل في الـ peer patches + +67 +00:05:50,240 --> 00:05:55,740 +Galactosel cerebrosite positive cell in brain and + +68 +00:05:55,740 --> 00:06:02,790 +gutكلها هادئي بتوصيب الـCD4 كليكوبروتين 120 + +69 +00:06:02,790 --> 00:06:10,530 +interaction هو أكتر يعني interaction مهم major + +70 +00:06:10,530 --> 00:06:16,230 +cell surface receptor على الـHIV هو is the CD4 + +71 +00:06:16,230 --> 00:06:20,890 +differentiation antigen several chemical receptors + +72 +00:06:20,890 --> 00:06:25,850 +act as a core receptor للـHIVمكروفيشتروبيك HIV + +73 +00:06:25,850 --> 00:06:31,910 +يستخدم كيموكاين ريسيبتو سي نمبر 5 ويعطي فقط مستوى + +74 +00:06:31,910 --> 00:06:36,430 +عالي من الـCD4 في أعضاء الحيوانات العضلية + +75 +00:06:36,430 --> 00:06:46,080 +الانفوتروبيك HIV أيضايستخدم كيموكاين رقم 4 الموجود + +76 +00:06:46,080 --> 00:06:49,920 +على سطح الـT للمفوسايتس لإستخدام عدد مرتفع عالي من + +77 +00:06:49,920 --> 00:06:57,080 +الـCD4 على محطة الـcell لأن الماكروفيج تستخدم + +78 +00:06:57,080 --> 00:07:00,500 +كيموكاين رقم 5 وبتحتاج إلى اتصال عالي + +79 +00:07:03,890 --> 00:07:11,710 +الـ lymphocyte lymphotropic HIV بيستخدم اللي هو + +80 +00:07:11,710 --> 00:07:16,830 +كيمكاين number four وبيحتاج ال high density on + +81 +00:07:16,830 --> 00:07:23,750 +expression on CD on T cell Genomic organization of + +82 +00:07:23,750 --> 00:07:32,390 +HIV وهذا هو هذا genomic organization هذا الترتيبهي + +83 +00:07:32,390 --> 00:07:37,990 +الـ long term الجاج والبول والانفلوب هذه أشهر + +84 +00:07:37,990 --> 00:07:45,570 +تلاتة جين موجودين طبعا + +85 +00:07:45,570 --> 00:07:49,610 +هي ال human + +86 +00:07:49,610 --> 00:07:54,530 +genome جاله ال length تبعت الساعة وستة من عشرة + +87 +00:07:54,530 --> 00:07:59,710 +kilobase يتكون من structure and regulatory + +88 +00:07:59,710 --> 00:08:06,470 +sequencesالثالثة وأربعة تشير إلى موقع أساسي للحياة + +89 +00:08:06,470 --> 00:08:13,110 +الهيوغوية الهيوغوية الهيوغوية + +90 +00:08:13,110 --> 00:08:17,470 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +91 +00:08:17,470 --> 00:08:18,870 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +92 +00:08:18,870 --> 00:08:19,650 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +93 +00:08:19,650 --> 00:08:20,810 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +94 +00:08:20,810 --> 00:08:24,070 +الهيوغ + +95 +00:08:35,440 --> 00:08:44,160 +أيضا وال بال polymerase الجاج + +96 +00:08:44,160 --> 00:08:46,740 +وال بول جين تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +97 +00:08:46,740 --> 00:08:50,420 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +98 +00:08:50,420 --> 00:08:50,520 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +99 +00:08:50,520 --> 00:08:50,540 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +100 +00:08:50,540 --> 00:08:55,440 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +101 +00:08:55,440 --> 00:09:02,170 +تعمل تعمل توبالتالي ممكن يتفادى component of their + +102 +00:09:02,170 --> 00:09:12,940 +own system long term repeatعلى طرفي الـ genome الـ + +103 +00:09:12,940 --> 00:09:15,700 +five الـ three-prime وfive-prime بيحتوي على + +104 +00:09:15,700 --> 00:09:19,640 +enhancer و promoter element ودول ضرورين for + +105 +00:09:19,640 --> 00:09:24,920 +transcription.HIV is initially transcribed into a + +106 +00:09:24,920 --> 00:09:30,160 +full-length messenger RNA which is translated into + +107 +00:09:30,160 --> 00:09:33,020 +structural GAG and pole protein + +108 +00:09:35,910 --> 00:09:39,090 +طبعا single and spliced messenger RNA is necessary + +109 +00:09:39,090 --> 00:09:45,150 +for envelope protein formation Regulatory gene زي + +110 +00:09:45,150 --> 00:09:53,590 +TAD اللي هو Transactivator أو Transcription من + +111 +00:09:53,590 --> 00:09:56,890 +الإسم it regulate replication and accelerate viral + +112 +00:09:56,890 --> 00:10:04,350 +protein production بألاف المرات REV اللي هو + +113 +00:10:04,350 --> 00:10:05,570 +regulator ovarian + +114 +00:10:07,810 --> 00:10:13,270 +بيسمح للـ Unspliced Messenger أنهي تتنهيب التنهيب + +115 +00:10:13,270 --> 00:10:14,270 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +116 +00:10:14,270 --> 00:10:14,490 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +117 +00:10:14,490 --> 00:10:14,910 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +118 +00:10:14,910 --> 00:10:19,430 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +119 +00:10:19,430 --> 00:10:19,990 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +120 +00:10:19,990 --> 00:10:20,230 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +121 +00:10:20,230 --> 00:10:33,610 +التنهيب التنهيب التنهيب التنه + +122 +00:10:35,070 --> 00:10:40,710 +نف نيجاتيف ريجولاتي فاكتور بيزود اللاعيش IV + +123 +00:10:40,710 --> 00:10:46,850 +ريبليكيشن وبيخلي الفيروس more pathopathogenic VPR + +124 +00:10:46,850 --> 00:10:51,210 +Viral Protein R بيلعب دور كبير في ريجوليشن و Viral + +125 +00:10:51,210 --> 00:10:55,070 +Enzyme و Large gene expression وهو بيكون مهم جدا + +126 +00:10:55,070 --> 00:11:04,710 +in viral assemblyوانفكار ميكروفيجي ويمكن ان يحدث + +127 +00:11:04,710 --> 00:11:11,690 +امبوكتوزيس VPU ضايع البروتين U طبعا هذا بأثر على + +128 +00:11:11,690 --> 00:11:17,570 +ال HIV من + +129 +00:11:17,570 --> 00:11:20,790 +ال cell surface and contribute to CD4 degradation + +130 +00:11:20,790 --> 00:11:23,130 +within the endoplasmic reticulum + +131 +00:11:25,650 --> 00:11:29,350 +نشوف الـ infections و ال pathogenesis of HIV جالو + +132 +00:11:29,350 --> 00:11:33,090 +during the early phase of HIV infection قبل ما + +133 +00:11:33,090 --> 00:11:36,970 +يصير ال conversion ال virus propagate mainly في ال + +134 +00:11:36,970 --> 00:11:41,650 +peripheral blood mononuclear cell primary + +135 +00:11:41,650 --> 00:11:44,830 +infection may cause temporary depletion of CD4 + +136 +00:11:44,830 --> 00:11:49,010 +اللي موجودين في ال peripheral blood mononuclear + +137 +00:11:49,010 --> 00:11:49,430 +cell + +138 +00:11:52,580 --> 00:11:58,440 +هذا figure يوضح لنا تماما الأزرق كما تشاهدون هو + +139 +00:11:58,440 --> 00:12:04,860 +number of CD4T lymphocyte في + +140 +00:12:04,860 --> 00:12:09,440 +بداية ال infection تكون عالية و تبدأ تغطى لأن ال + +141 +00:12:09,440 --> 00:12:12,680 +infection حصل في الـ mononucleic arthrosis + +142 +00:12:12,680 --> 00:12:16,640 +peripheral + +143 +00:12:19,440 --> 00:12:27,600 +و هي بدت تنزل لل Zero والخط الأحمر هذا بيمثل ال + +144 +00:12:27,600 --> 00:12:34,520 +HIV RNA copies في البلازمة كانت قليلة ثم بدت تزيد + +145 +00:12:34,520 --> 00:12:40,460 +تزيد تزيد لغاية ما وصلت ل peak عالية ماشي و بعد + +146 +00:12:40,460 --> 00:12:46,850 +هيك بتنزل up to certain levelبس مش لل Zero و بعدين + +147 +00:12:46,850 --> 00:12:50,290 +تبدأ تطلع مرة تانية هذا بيسموها Zero Conversion + +148 +00:12:50,290 --> 00:12:54,230 +Area + +149 +00:12:55,670 --> 00:13:00,790 +طبعا زي ما انتوا شايفين قسموها إلى مراحل قالوا في + +150 +00:13:00,790 --> 00:13:07,190 +primary infection في acute HIV syndrome و بيصير في + +151 +00:13:07,190 --> 00:13:13,250 +wide dissemination of virus في ال lymphoid organs + +152 +00:13:13,250 --> 00:13:18,830 +ثم في clinical latency by constitutional symptoms + +153 +00:13:18,830 --> 00:13:23,130 +و opportunistic disease + +154 +00:13:28,090 --> 00:13:33,430 +هو الفجر التاني برضه بتمثلنا CD4 concentration + +155 +00:13:33,430 --> 00:13:41,270 +ماشي هيك against اللي هو ال time per month after + +156 +00:13:41,270 --> 00:13:46,970 +infection شايفين في البداية كانت ال CD4 ده هي + +157 +00:13:46,970 --> 00:13:55,050 +بالأحمر ماشي كانت عالية و بعدين بدت تنزل ماشي + +158 +00:13:56,440 --> 00:14:02,240 +الفيروس كابيز أو antigen بيبدأ قليل لكنه بيعلق و + +159 +00:14:02,240 --> 00:14:07,640 +بيصلق مستويات عالية مابيبدأ ينزل ماشي في ال + +160 +00:14:07,640 --> 00:14:11,640 +circumversion ماشي في فترة معينة ثم بيطلع مرة + +161 +00:14:11,640 --> 00:14:17,740 +تانية انت شايفي انتيبادي علاقة طبعا تكوين انتيبادي + +162 +00:14:17,740 --> 00:14:23,490 +تدمين ال glycoprotein 120طبعا هي في البداية بتكون + +163 +00:14:23,490 --> 00:14:28,030 +قليلة او صفر مابتبدأ تزيد و تزيد و تزيد up to + +164 +00:14:28,030 --> 00:14:34,950 +certain level وبعدين برضه تامتحن actually the + +165 +00:14:34,950 --> 00:14:37,710 +infection usually resides from cell related immune + +166 +00:14:37,710 --> 00:14:42,990 +response من خلال CD8 cytotoxic T cell and human + +167 +00:14:42,990 --> 00:14:48,170 +responses had to help virus to help to clear the + +168 +00:14:48,170 --> 00:14:55,690 +virusولكن للأسف الشديد بيصير failure to eradicate + +169 +00:14:55,690 --> 00:14:59,770 +HIV infection during asymptomatic period virus is + +170 +00:14:59,770 --> 00:15:03,670 +not completely latent but remain active in + +171 +00:15:03,670 --> 00:15:08,150 +lymphoid tissue as proved by PCR technique + +172 +00:15:08,150 --> 00:15:13,350 +monocytes are resistant to destruction by HIV + +173 +00:15:16,500 --> 00:15:22,480 +and they may act as a reservoir كمان بيقعدوا بتخبى + +174 +00:15:22,480 --> 00:15:27,420 +فيها اللى هى ال antigen presenting cell as well as + +175 +00:15:27,420 --> 00:15:34,220 +a vehicle بتساعد فى عملية تنقل ال virus from one + +176 +00:15:34,220 --> 00:15:38,660 +distance to another بيقولوا جيب ال HIV يالو ال + +177 +00:15:38,660 --> 00:15:44,480 +system يتدكر ان اكثر من 40 مليون person أصيبوا بيه + +178 +00:15:44,480 --> 00:15:55,550 +يشبه ال HIVفيروس من يوم اطلع لغاية ال 2006 طبعا + +179 +00:15:55,550 --> 00:16:02,610 +اشهر هذه المناطق sub-saharan و Africa لحالها فيها + +180 +00:16:02,610 --> 00:16:08,730 +25.3 مليون and these people are living with aids + +181 +00:16:08,730 --> 00:16:16,420 +في ال 2006 ايضا 4.3 مليونwere infected تلاتة مليون + +182 +00:16:16,420 --> 00:16:23,000 +منهم ماتوا و أكتر من خمسة و عشرين مليون ماتوا من + +183 +00:16:23,000 --> 00:16:26,540 +ال الفين و .. من سنة ألف سنة واحد تمانية لغاية + +184 +00:16:26,540 --> 00:16:32,100 +الفين و ستة موضوع + +185 +00:16:32,100 --> 00:16:35,820 +ال transmission طبعا بينتقل عن طريق ال sexual + +186 +00:16:35,820 --> 00:16:40,500 +contact عناس بلاسنترال transmission drug injection + +187 +00:16:42,190 --> 00:16:47,990 +Percutaneous Occupational Exposure Recipient of + +188 +00:16:47,990 --> 00:16:51,690 +Infected Blunt Recipient of Contaminated Organ or + +189 +00:16:51,690 --> 00:16:56,470 +Tissue and Breastfeeding كل هذه عوامل يستطيع + +190 +00:16:56,470 --> 00:17:00,470 +الفيروس أن ينتقل من خلالها طبعا common + +191 +00:17:00,470 --> 00:17:04,430 +opportunistic infection اما الجنانسي is associated + +192 +00:17:04,430 --> 00:17:10,290 +with AIDSApportunistic Infection زي البكتيريا + +193 +00:17:10,290 --> 00:17:14,610 +الشرها Mycobacterium Striptococcus Hemophilus + +194 +00:17:14,610 --> 00:17:19,070 +Influenza and Salmonella Viruses بتصاحب هذا + +195 +00:17:19,070 --> 00:17:24,230 +الموضوع Herpes Simplex and Zoster ويبشتن بالفيروس + +196 +00:17:24,230 --> 00:17:30,930 +Adenovirus-CMV Fungi Candida Histoplasma + +197 +00:17:30,930 --> 00:17:37,220 +Cryptococcus Aspergillus CoxidoidesProtozoa, + +198 +00:17:37,660 --> 00:17:43,320 +Toxoplasma, Nomocystis, Isospora and + +199 +00:17:43,320 --> 00:17:51,540 +Cryptosporidium مالك ناسي زي الـ Capusis Sarcoma + +200 +00:17:54,040 --> 00:17:58,360 +Percus-like lymphoma، Hodgkin disease، CNS + +201 +00:17:58,360 --> 00:18:03,380 +lymphoma، immunoplastic sarcoma، peripheral organ + +202 +00:18:03,380 --> 00:18:10,100 +lymphoma، lymphatic pre-leukemia، كلها associated + +203 +00:18:10,100 --> 00:18:14,300 +with such diseaseطب نشوف تأثيرات الـHIV على + +204 +00:18:14,300 --> 00:18:16,580 +الimmune system قالوا بأول حاجة بيصير فيه + +205 +00:18:16,580 --> 00:18:20,780 +depletion و CD4 و أصلا بس هي الـinfected و بيصير + +206 +00:18:20,780 --> 00:18:24,140 +فيه degrees لـDeleta بhypersensitivity لإنه أصلا + +207 +00:18:24,140 --> 00:18:29,820 +الـmacrophage كمان is إيش is infected increase + +208 +00:18:29,820 --> 00:18:34,280 +susceptibility of abortionistic infection decrease + +209 +00:18:34,280 --> 00:18:41,400 +production of IL-2 polyclonal hyper-globulinemia + +210 +00:18:42,150 --> 00:18:48,150 +الـ B-cell activation بوريكلونال تلقى خالة بصير في + +211 +00:18:48,150 --> 00:18:50,050 +production of auto-antibody وانتبادي وانتبادي + +212 +00:18:50,050 --> 00:18:50,810 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +213 +00:18:50,810 --> 00:18:52,810 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +214 +00:18:52,810 --> 00:18:54,010 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +215 +00:18:54,010 --> 00:18:55,170 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +216 +00:18:55,170 --> 00:18:57,210 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +217 +00:18:57,210 --> 00:19:02,130 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي و + +218 +00:19:03,650 --> 00:19:06,170 +بارضه بيصير فيه زيادة في الـ Release of IL-1 + +219 +00:19:06,170 --> 00:19:11,970 +وAlpha Interferon ودولة Damaging the Tissue Green + +220 +00:19:11,970 --> 00:19:15,930 +Serum and Urine Neoprotein بيزيد الـ B2 + +221 +00:19:15,930 --> 00:19:21,470 +-Microglobulin ولسه ماقعدش IV Specific Cytotoxic T + +222 +00:19:21,470 --> 00:19:27,210 +Cell نفقدها بعد هيك كان فيش CD4 اللي ده فيش CD8 + +223 +00:19:27,210 --> 00:19:30,630 +وبرضه + +224 +00:19:30,630 --> 00:19:37,800 +بيزيد ال Unresponsiveness للـ CD4EDSM Prevention + +225 +00:19:37,800 --> 00:19:42,800 +and Control by Health Education خلال كل أدوات Air + +226 +00:19:42,800 --> 00:19:45,940 +التعليم + +227 +00:19:45,940 --> 00:19:54,060 +Early Diagnosis Blood Supply Testing Early Therapy + +228 +00:19:54,060 --> 00:19:58,700 +Counseling Services Special Attention to + +229 +00:19:58,700 --> 00:20:03,760 +Demographic Features of the Elderالـ Housing والـ + +230 +00:20:03,760 --> 00:20:07,320 +Prisons والـ Rural Healthcare والـ Immigration and + +231 +00:20:07,320 --> 00:20:11,340 +Travel كل هذه مناطق لازم الواحد ياخد باله منها + +232 +00:20:11,340 --> 00:20:16,620 +لأنه ممكن يصير فيها تتواجد + +233 +00:20:16,620 --> 00:20:24,480 +أسباب انتشار الـ HIVPrevention HIV infection and + +234 +00:20:24,480 --> 00:20:28,560 +healthcare worker في ال health worker لازم ياخدوا + +235 +00:20:28,560 --> 00:20:32,420 +بالهم أثناء عملية التعامل مع ال HIV infection من + +236 +00:20:32,420 --> 00:20:40,140 +خلال وير كودزand gloves use masks use precaution + +237 +00:20:40,140 --> 00:20:46,320 +يوم تستخدم اللي هو و تتحمل ال needles و ال Lancet + +238 +00:20:46,320 --> 00:20:50,400 +decontaminate work surfaces with chemical + +239 +00:20:50,400 --> 00:20:54,960 +germicides بغسل اليدين and remove protective + +240 +00:20:54,960 --> 00:21:00,780 +clothing before leaving the workplace dispose of + +241 +00:21:00,780 --> 00:21:04,430 +contaminated material طبعا كلها تعليماتانتوا + +242 +00:21:04,430 --> 00:21:08,610 +بتعرفوها avoid contaminating the outside of + +243 +00:21:08,610 --> 00:21:15,750 +container target for antiviral therapy بيعطوا علاج + +244 +00:21:15,750 --> 00:21:26,590 +ك antiviral بيمنع ال HIVbinding and cell entry من + +245 +00:21:26,590 --> 00:21:30,370 +خلال اعطائه ماذا هو Soluble recombinant CD4, + +246 +00:21:30,990 --> 00:21:38,470 +Dextran Sulfate, Castana, Spermine, Heparin, + +247 +00:21:38,690 --> 00:21:45,170 +Soluble Glycoprotein 120 كلها عبارة عن هذه اللي هو + +248 +00:21:45,170 --> 00:21:52,190 +علاجات تساعد في منع ارتباط ال HIV بالعيش ودخوله + +249 +00:21:52,190 --> 00:21:58,480 +للخليةReverse transcriptase طبعا هي إلاجات مختلفة + +250 +00:21:58,480 --> 00:22:04,140 +بتمنع اللي هو تعمل إجابة للـ Reverse transcriptase + +251 +00:22:04,140 --> 00:22:08,840 +في الداخل Resistant + +252 +00:22:08,840 --> 00:22:13,740 +strain of HIV too many drugs have emerged عشان هيك + +253 +00:22:13,740 --> 00:22:20,460 +بعتوا combination of antiviral drug عشان يتغلبوا + +254 +00:22:20,460 --> 00:22:24,610 +على resistant strainCombined therapy may include + +255 +00:22:24,610 --> 00:22:30,650 +highly active antiretroviral therapy for example + +256 +00:22:30,650 --> 00:22:33,710 +one protease inhibitor زائد two reverse + +257 +00:22:33,710 --> 00:22:36,990 +transcriptase inhibitor او three reverse + +258 +00:22:36,990 --> 00:22:40,350 +transcriptase inhibitor دي كلها combined therapy + +259 +00:22:40,350 --> 00:22:48,370 +يوم بيصير فيه resistance لل treatment of HIV ال + +260 +00:22:48,370 --> 00:22:52,490 +gene therapy طبعا هوInhibition of Viral + +261 +00:22:52,490 --> 00:22:57,090 +Translation Process Using Antisense Or Eucleotide + +262 +00:22:57,090 --> 00:23:03,290 +Or Ribosome Production Of Mutated Protein Which + +263 +00:23:03,290 --> 00:23:12,290 +Compete With Original Viral Protein Genetic + +264 +00:23:12,290 --> 00:23:16,450 +Manipulation Of Target Cellالتي تسمح لهم بالانتقال + +265 +00:23:16,450 --> 00:23:18,870 +أو الانتقال من الانتقال من الانتقال من الانتقال من + +266 +00:23:18,870 --> 00:23:20,450 +الانتقال من الانتقال من الانتقال من الانتقال من + +267 +00:23:20,450 --> 00:23:22,070 +الانتقال من الانتقال من الانتقال من الانتقال من + +268 +00:23:22,070 --> 00:23:23,550 +الانتقال من الانتقال من الانتقال من الانتقال من + +269 +00:23:23,550 --> 00:23:27,550 +الانتقال من الانتقال من الانتقال من الانتقال من + +270 +00:23:27,550 --> 00:23:30,510 +الانتقال من الانتقال من الانتقال من الانتقال من + +271 +00:23:30,510 --> 00:23:30,710 +الانتقال من الانتقال من الانتقال من الانتقال من + +272 +00:23:30,710 --> 00:23:35,750 +الانتقال من الانتقال من الانتقال من الانتقال من + +273 +00:23:35,750 --> 00:23:42,270 +الانتقال من الانتقال من الانتقال من ال + +274 +00:23:45,630 --> 00:23:52,730 +اللي هو mutation متعددة سلسل fusion allow HIV to + +275 +00:23:52,730 --> 00:24:00,590 +escape and actually escape anti-HIV latent phase + +276 +00:24:00,590 --> 00:24:04,230 +integration into cellular DNA cell mediated + +277 +00:24:04,230 --> 00:24:08,350 +immunity is deficient or delayed lack of animal + +278 +00:24:08,350 --> 00:24:15,600 +model زي شامبينزي developed antibody but notالـ + +279 +00:24:15,600 --> 00:24:22,280 +AIDS. Anti-HIV antibody may react with CD4 in a + +280 +00:24:22,280 --> 00:24:29,540 +similar way to HIV-CD4 interaction. يا سلام! Auto + +281 +00:24:29,540 --> 00:24:32,920 +-antibody and immune complexes have harmful effect + +282 +00:24:32,920 --> 00:24:37,780 +on many cells.يعني + +283 +00:24:37,780 --> 00:24:44,180 +حتى العلاج كمان Auto-antibody ممكن تتكونويتأثر على + +284 +00:24:44,180 --> 00:24:47,980 +او تعمل immune complexes وتأثر على وتزود الطيب بلى + +285 +00:24:47,980 --> 00:24:53,700 +يعنى Super infection with HIV with other HIV + +286 +00:24:53,700 --> 00:24:59,560 +strains Binding of antibody to GB with 120 is + +287 +00:24:59,560 --> 00:25:04,620 +difficult Limited knowledge of mucosal immunity + +288 +00:25:04,620 --> 00:25:09,820 +Live attenuated vaccine may revert to virulence + +289 +00:25:09,820 --> 00:25:15,700 +New approachانتيبادي ضد الهيوغو حتى انفجار + +290 +00:25:15,700 --> 00:25:21,180 +البروتين يسيطر على التأثير على الهيوغو اضافة CD4 + +291 +00:25:21,180 --> 00:25:28,800 +موليكولية لسلسلة ممكن تحفز مقاطع الهيوغو الهيوغو + +292 +00:25:28,800 --> 00:25:34,780 +يتعامل مع CD4 يمنع الهيوغو من التعامل مع الهيوغو + +293 +00:25:34,780 --> 00:25:38,280 +الهيوغو مرتبط بالسلسلة كانت + +294 +00:25:38,280 --> 00:25:43,390 +نفحصوقالوا بـ Serological Screening, Antigen + +295 +00:25:43,390 --> 00:25:46,870 +Detection, Cell Culturing, and Gene Amplification + +296 +00:25:46,870 --> 00:25:54,110 +by PCR ثم بالفلوسيتمتري بنهد الـ CD4 Cell + +297 +00:25:54,110 --> 00:25:58,770 +Serological Screening detect circulating Anti-HIV + +298 +00:25:58,770 --> 00:26:00,910 +Antibody، Anti-Antibody Reaction + +299 +00:26:05,340 --> 00:26:08,780 +يتم اكتشافه من خلال الـ Immunofluorescent Radial + +300 +00:26:08,780 --> 00:26:11,640 +Immunoprecipitation تقنية أو الـ Western Plotting + +301 +00:26:11,640 --> 00:26:15,800 +وPCR كل + +302 +00:26:15,800 --> 00:26:20,140 +هذا ما يتعلق بالإيهاش بالـ HIV Secondary + +303 +00:26:20,140 --> 00:26:23,460 +immunodeficiency أيضًا ممكن تدرج نتيجة وجود نيو + +304 +00:26:23,460 --> 00:26:29,120 +بلازم أو نظام لينفويد لينفويد لوكيميا لينفوما كمان + +305 +00:26:31,340 --> 00:26:37,700 +سجلت حالات كثيرة كسبب من أسباب ال immunodeficiency + +306 +00:26:37,700 --> 00:26:42,820 +زي اللوكيميا malignant cell are predominantly in + +307 +00:26:42,820 --> 00:26:48,760 +the circulation أو في ال bone marrow بتؤدي إلى قلة + +308 +00:26:48,760 --> 00:26:52,560 +في ال immune cells lymphoma برضه بتعمل solid + +309 +00:26:52,560 --> 00:26:56,560 +masses في ال lymph nodes في ال spleen في ال thymus + +310 +00:26:56,560 --> 00:27:01,180 +في ال extraنهد الأوريجان وهذه كلها مواقع ال + +311 +00:27:01,180 --> 00:27:09,140 +response بيلعب دور كبير فيها بيقاتل فيها بعد مرات + +312 +00:27:09,140 --> 00:27:12,340 +ال the same malignant cell type can show either + +313 +00:27:12,340 --> 00:27:22,240 +presentation للو كيميا و للمفولة في 1996 WHO أوسط + +314 +00:27:22,240 --> 00:27:26,120 +a classification system based on cell of origin + +315 +00:27:32,350 --> 00:27:39,630 +PVSTNK and stage of differentiation يعني قسم ال + +316 +00:27:39,630 --> 00:27:45,230 +immature precursor versus mature peripheral في + +317 +00:27:45,230 --> 00:27:50,810 +تابل ان شاء الله نتطلق له كمان للأسف شديد مالكنا + +318 +00:27:50,810 --> 00:27:53,290 +تسلقلها the same surface marker + +319 +00:27:55,530 --> 00:28:00,590 +لكنها لن تستمر في التطور لأنها ملقنة اما اللي نفسه + +320 +00:28:00,590 --> 00:28:04,490 +اللي هي ال cell surface marker هم يتجمدون في عدد + +321 +00:28:04,490 --> 00:28:09,370 +كبير ويصبحون من خلال احدة كلون يعني منو كلون او + +322 +00:28:09,370 --> 00:28:13,090 +كلون ويستخدمون + +323 +00:28:13,090 --> 00:28:17,890 +نفس الجانب كمقارنة + +324 +00:28:17,890 --> 00:28:22,310 +عادية بون مارو لـ immature بيسل ثايمس او + +325 +00:28:29,880 --> 00:28:34,160 +WHO Classification for Lymphoid Malignancy or + +326 +00:28:34,160 --> 00:28:42,820 +Neoplasm LB cell B cell proliferation Hodgkin + +327 +00:28:42,820 --> 00:28:50,270 +lymphomaPsyl-Neoplasm من الاسم Psyl-Lymphoplastic + +328 +00:28:50,270 --> 00:28:54,950 +Leukemia او Lymphoma Psyl-Acute Lymphoplastic + +329 +00:28:54,950 --> 00:29:02,330 +Leukemia كلهم يتجاربون بـ Pro-B, Pre-B او + +330 +00:29:02,330 --> 00:29:08,430 +الانفجارات في مرحلة التطوركما يظهر على صفحة الـ CD + +331 +00:29:08,430 --> 00:29:13,270 +على سطح هذه الخلايا. طبعا أيضا يمكن أن تثبت أو + +332 +00:29:13,270 --> 00:29:18,450 +تثبت بشكل محدد من اللوكيميا. + +333 +00:29:21,290 --> 00:29:26,630 +طبعا هي الصنبي + +334 +00:29:26,630 --> 00:29:33,450 +سل نيوبلازم المرتبط بالتعريف من الجنة إلى + +335 +00:29:33,450 --> 00:29:37,560 +الكرمزومةIncluding the immunoglobulin-inhibiting + +336 +00:29:37,560 --> 00:29:44,860 +gene on chromosome 14 طبعا ده هو اي بعض ال .. اللي + +337 +00:29:44,860 --> 00:29:50,940 +هو PCL2 ايجي على منطقة ده و chromosome 14 منطقة ال + +338 +00:29:50,940 --> 00:29:55,260 +-inhibiting gene rearrangement ماشي و هجمها طبعا + +339 +00:29:55,260 --> 00:29:58,620 +هاي another mutation CMEC اللي هو وجودها + +340 +00:29:58,620 --> 00:30:03,850 +chromosome رقم 18 و هي PCL1 ايضا كلهم بلعبوهأو + +341 +00:30:03,850 --> 00:30:08,070 +بيشتغلوا على هذه المنطقة اللي هي على كرمزوم 14 + +342 +00:30:08,070 --> 00:30:12,110 +وبالتالي بيعملوا خلل في ال immunoglobulin gene، + +343 +00:30:12,110 --> 00:30:16,230 +heavy-chain gene rearrangement فيوسمك بيعمل + +344 +00:30:16,230 --> 00:30:21,010 +Perkins lymphoma و ال PCL1 بيعمل mental zone + +345 +00:30:21,010 --> 00:30:24,970 +lymphopenia بينما ال PCL2 بيعمل follicular + +346 +00:30:24,970 --> 00:30:25,790 +lymphoma + +347 +00:30:28,000 --> 00:30:32,060 +بالإضافة إلى الـ Blast أو الـ Stem Cell Marker + +348 +00:30:32,060 --> 00:30:39,800 +CD34 يمكن أن تظهر CD10 أو CD19 كمعنى كمعنى كمعنى + +349 +00:30:39,800 --> 00:30:41,500 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +350 +00:30:41,500 --> 00:30:43,640 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +351 +00:30:43,640 --> 00:30:43,680 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +352 +00:30:43,680 --> 00:30:44,920 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +353 +00:30:44,920 --> 00:30:49,560 +كمعنى كمعنى كمعنى ك + +354 +00:30:51,120 --> 00:30:57,740 +وهذا الانزيم عادةً يتطلب تجارب الجنة في مراحل + +355 +00:30:57,740 --> 00:31:05,660 +مبكرة جدا او TCR تجارب الجنة كيمافترابيا كانت + +356 +00:31:05,660 --> 00:31:11,220 +مفهومة في التعامل بالأطفال مع هذه اللوكيميا بيركتس + +357 +00:31:11,220 --> 00:31:15,640 +لينفومة اللوكيميا طبعاً مخصصة من التعامل + +358 +00:31:18,610 --> 00:31:24,110 +من خلال الـ Semic Oncogen وتدخله في الـ + +359 +00:31:24,110 --> 00:31:26,690 +Immunoglobulin heavy chain gene في هذا ال area + +360 +00:31:26,690 --> 00:31:35,190 +سواء كان في ال heavy chain او في ال two light + +361 +00:31:35,190 --> 00:31:40,590 +chain في جين اللي هو + +362 +00:31:43,930 --> 00:31:49,250 +Translocation 1.14 أو Translocation 1.22 أو + +363 +00:31:49,250 --> 00:31:53,590 +Translocation 2.1 كلها عبارة عن Translocation + +364 +00:31:53,590 --> 00:31:58,350 +Scenic روتين أيضا بنشط الجينات for cell + +365 +00:31:58,350 --> 00:32:01,370 +proliferationو Translocation to Immunoglobulin + +366 +00:32:01,370 --> 00:32:04,650 +gene بيؤدي إلى زيادة ال expression of C-Myc و + +367 +00:32:04,650 --> 00:32:09,730 +Increase cell proliferation. In equatorial Africa, + +368 +00:32:11,150 --> 00:32:13,790 +this lymphoma is endemic and is associated with a + +369 +00:32:13,790 --> 00:32:18,650 +Bstein-Barr virus or B cell lymphoma. البركز + +370 +00:32:18,650 --> 00:32:21,210 +ليمفومة هو واحد من الماليجنانسي اللي بتشوف في + +371 +00:32:21,210 --> 00:32:25,870 +immunosuppression للمرضى in which a Bstein-Barr + +372 +00:32:25,870 --> 00:32:30,660 +virus genome is also sometimes found in theلنفومة + +373 +00:32:30,660 --> 00:32:35,240 +معتقلة folicular lymphoma الاسم folicular ت + +374 +00:32:35,240 --> 00:32:38,780 +represent transformation of بيسل اللي موجودة + +375 +00:32:38,780 --> 00:32:42,100 +normally in lymph node follicles في ال folicular + +376 +00:32:42,100 --> 00:32:46,340 +lymphoma ال BCL2 هو اللي شغال، وشو بيعمل؟ أيضا + +377 +00:32:46,340 --> 00:32:50,540 +يتدخل في ال immunoglobulin inhibit chain gene وهذا + +378 +00:32:50,540 --> 00:32:54,320 +بيؤدي إلى continuous expression of BCL2 + +379 +00:32:56,900 --> 00:33:02,520 +الذي يمنع الموت من الصلبة الـ Mantle cell lymphoma + +380 +00:33:02,520 --> 00:33:08,840 +التحتاني اللي هو برضه قد دور ال PCA الواحد مش + +381 +00:33:08,840 --> 00:33:12,780 +الPCA الاتنين اللي بلعب دور كبير برضه وبرانيو + +382 +00:33:12,780 --> 00:33:16,490 +بلازم of this mantle cellتشهد بشكل نفسي بـ Cell + +383 +00:33:16,490 --> 00:33:19,150 +Phenotype كما يحدث أيضًا للمشاركات الطبيعية الـ + +384 +00:33:19,150 --> 00:33:24,610 +C19-25 and Surface Immunoglobulin زي ما قلنا + +385 +00:33:24,610 --> 00:33:32,810 +الـPCL-1 بلعب دوري كبير في الجينات في إحداث الـ + +386 +00:33:32,810 --> 00:33:40,500 +Translocation ما بين 11 و14 It has higherسرعة + +387 +00:33:40,500 --> 00:33:45,560 +مفتوحة وشركات أكثر عضوية من اللنفومة الفوليكيلارية + +388 +00:33:45,560 --> 00:33:53,120 +مقارنة اللنفومة ليش + +389 +00:33:53,120 --> 00:33:57,720 +طبعا associated with مرض ليه ميكوزر associated + +390 +00:33:57,720 --> 00:34:02,820 +lymphoid tissue ايضا maybe associated with chronic + +391 +00:34:02,820 --> 00:34:07,110 +antigenic stimulation او autoimmune diseaseعلى + +392 +00:34:07,110 --> 00:34:09,610 +سبيل المثال الهيليكوفاكتر الهيليكوفاكتر + +393 +00:34:09,610 --> 00:34:09,870 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +394 +00:34:09,870 --> 00:34:12,690 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +395 +00:34:12,690 --> 00:34:14,550 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +396 +00:34:14,550 --> 00:34:17,690 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +397 +00:34:17,690 --> 00:34:18,970 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +398 +00:34:18,970 --> 00:34:25,570 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +399 +00:34:25,570 --> 00:34:28,890 +الهيليكوفاكتر + +400 +00:34:28,890 --> 00:34:34,410 +الهيليكوفثعيرو دايدس الواجهة اللي بيصير high + +401 +00:34:34,410 --> 00:34:39,390 +incidence of this B cell lymphoma Chronic + +402 +00:34:39,390 --> 00:34:44,950 +antigenic stimulation بيقدّي الى fertile group for + +403 +00:34:44,950 --> 00:34:49,150 +the development of B cell lymphoma طبعا B cell + +404 +00:34:49,150 --> 00:34:52,850 +بتستمر في احداث somatic mutation في immunoglobulin + +405 +00:34:52,850 --> 00:35:00,030 +gene ايضا سجلوا defect in the regulation of B cell + +406 +00:35:00,970 --> 00:35:04,570 +بسبب نقل من تسل تسل تسل تسل تسل تسل تسل تسل تسل + +407 +00:35:04,570 --> 00:35:13,350 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +408 +00:35:13,350 --> 00:35:16,170 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +409 +00:35:16,170 --> 00:35:22,310 +تسل تسل تسل + +410 +00:35:22,310 --> 00:35:28,550 +ت + +411 +00:35:30,050 --> 00:35:35,490 +أمريكان و Western Europe تسيب الإختيارية الوضع + +412 +00:35:35,490 --> 00:35:41,510 +الوضع الوضع + +413 +00:35:41,510 --> 00:35:44,870 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +414 +00:35:44,870 --> 00:35:45,730 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +415 +00:35:45,730 --> 00:35:45,770 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +416 +00:35:45,770 --> 00:35:50,030 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +417 +00:35:50,030 --> 00:35:52,870 +الوضع الوضع + +418 +00:35:56,520 --> 00:36:03,440 +من الاسم plasma-cytoma وطبعا it's also called + +419 +00:36:03,440 --> 00:36:10,160 +multiple myeloma or plasma cell myeloma Tile 6 + +420 +00:36:10,160 --> 00:36:13,960 +function as a autocrine growth factor for myeloma + +421 +00:36:13,960 --> 00:36:19,800 +cell فطبعا النيو بلاستيك في ال multiple myeloma + +422 +00:36:19,800 --> 00:36:27,040 +بيتتصنع monoclonal immunoglobulinأو بروتين زي الـ + +423 +00:36:27,040 --> 00:36:30,080 +Benzoyl Protein اللي عبارة عن Light Immunoglobulin + +424 +00:36:30,080 --> 00:36:36,840 +Chain اللي يمر في الـ Urine وطبعا هذه ممكن تكون + +425 +00:36:36,840 --> 00:36:40,620 +Amyloid اللي يمكن أن يسبب فيها خطأ أورجام خاصة في + +426 +00:36:40,620 --> 00:36:45,040 +الجدن Limphoplasmicytic + +427 +00:36:45,040 --> 00:36:49,120 +Limphoma أو + +428 +00:36:49,120 --> 00:36:52,820 +ما تسمى بالـ Waldenstrom Macroglobulinemia + +429 +00:36:55,160 --> 00:37:00,900 +طبعا هنا بـ Lymphocytes بتصنع لنا IgM كل اللي صار + +430 +00:37:00,900 --> 00:37:05,200 +انها فشلت الخلية في انها تنتقل من الـ B-cell إلى + +431 +00:37:05,200 --> 00:37:13,960 +الـ plasma cell فبتجه في النص المرحلة وبتعمل .. + +432 +00:37:13,960 --> 00:37:18,780 +بنشوف خلية بسموها lymphoplasmic cytoid أو plasma + +433 +00:37:18,780 --> 00:37:24,320 +cytomusبيصير فيه over production ال IGM وهذا بيعمل + +434 +00:37:24,320 --> 00:37:32,020 +hyperviscosity وايضا circulating problem is done + +435 +00:37:32,020 --> 00:37:36,720 +لإنه فيه hyperviscosity خصوصا في ال extremities زي + +436 +00:37:36,720 --> 00:37:43,220 +ال fingers و ال toys تيسل ميوبلازم precursor تيسل + +437 +00:37:43,220 --> 00:37:48,620 +acute lymphoblastic leukemia it has characteristic + +438 +00:37:48,620 --> 00:37:57,130 +identityالذين كانوا مفجرين في موقعهم الانفجار تي + +439 +00:37:57,130 --> 00:38:00,450 +أكيوت لينفو بلاستيك لو كيميا اكسبرس بان تي سيل + +440 +00:38:00,450 --> 00:38:07,350 +ماركات زي cd2 و5 و7 و تي أكيوت لينفو بلاستيك لو + +441 +00:38:07,350 --> 00:38:08,930 +كيميا تي سيل ماركات زي cd2 و5 و7 و تي أكيوت لينفو + +442 +00:38:08,930 --> 00:38:12,610 +بلاستيك لو كيميا تي سيل ماركات زي cd2 و5 و7 و تي + +443 +00:38:12,610 --> 00:38:15,130 +أكيوت لينفو بلاستيك لو كيميا تي سيل ماركات زي cd2 + +444 +00:38:15,130 --> 00:38:18,630 +و5 و7 و تي أكيوت لينفو بلاستيك لو كيميا تي سيل + +445 +00:38:18,630 --> 00:38:23,680 +ماركات زي cd2 و5 و7 و تي أكيوت لينفو بلاT تمثل + +446 +00:38:23,680 --> 00:38:33,160 +الوكيميا أو كمزة ثائمية أفضل تي سيل بيو بلازم هذي + +447 +00:38:33,160 --> 00:38:37,960 +أكثر من + +448 +00:38:37,960 --> 00:38:44,340 +بي سيل لوفرومةفي منها كيتينوس تيسل لينفوما بيصير + +449 +00:38:44,340 --> 00:38:49,120 +infiltration to the epidermis with malignant CD4 T + +450 +00:38:49,120 --> 00:38:54,280 +cell وطبعا هذا بيقدي للانتشار في ال lymph nodes + +451 +00:38:54,280 --> 00:38:58,780 +and even into the blood الماليجنان + +452 +00:38:58,780 --> 00:39:02,280 +تيسل أيضا found in the circulation are called + +453 +00:39:02,280 --> 00:39:06,500 +cesarean cell والسندروم بيسموه cesarean syndrome + +454 +00:39:07,920 --> 00:39:12,780 +أضالة T-cell أكيد لنفوذ T لنفوذ بلاستيك لوكيميا أو + +455 +00:39:12,780 --> 00:39:22,520 +لنفومة It's an aggressive disease and it's new + +456 +00:39:22,520 --> 00:39:27,460 +plasma of mature CD4 T cell IL2 بلعب دورة as + +457 +00:39:27,460 --> 00:39:32,120 +autocrine growth factor for these cells It's + +458 +00:39:32,120 --> 00:39:35,720 +caused by retrovirus human T cell lymphotropic + +459 +00:39:35,720 --> 00:39:43,680 +virus 1التي تم تسميها وإزالتها قبل إعادة الـ AIDS + +460 +00:39:43,680 --> 00:39:51,380 +والـ HIV التنمية متشابهة إلى الـ HIV تدخل في عامين + +461 +00:39:51,380 --> 00:39:52,660 +من عامين من عامين من عامين من عامين من عامين من + +462 +00:39:52,660 --> 00:39:53,140 +عامين من عامين من عامين من عامين من عامين من عامين + +463 +00:39:53,140 --> 00:39:54,980 +من عامين من عامين من عامين من عامين من عامين من + +464 +00:39:54,980 --> 00:39:57,340 +عامين من عامين من عامين من عامين من عامين من عامين + +465 +00:39:57,340 --> 00:39:59,880 +من عامين من عامين من عامين من عامين من عامين من + +466 +00:39:59,880 --> 00:40:03,160 +عامين من عامين من عامين من عامين من عامين من عامين + +467 +00:40:03,620 --> 00:40:09,820 +ATL-L CD4 T-cells harbor the virus in quiescent + +468 +00:40:09,820 --> 00:40:17,040 +state it's not cytolytic Hodgkin lymphoma طبعا + +469 +00:40:17,040 --> 00:40:22,660 +بتشتهر بوجود خلية مميزة هي برابعي nucleated + +470 +00:40:22,660 --> 00:40:30,040 +malignant cell بيسموها red sterbic cells وبتشبه + +471 +00:40:30,040 --> 00:40:40,010 +اللي هوأتخارية كبيرة فيها تونيوكلياس غالبا و it's + +472 +00:40:40,010 --> 00:40:44,770 +usually a reactive background بتمثل reactive + +473 +00:40:44,770 --> 00:40:49,570 +background او multicell زينوفيل بلازمة يعني موجودة + +474 +00:40:49,570 --> 00:40:57,010 +في في في tissue infiltrated with many cell منها + +475 +00:40:57,010 --> 00:41:01,450 +multicell زينوفيل بلازمة cell macrophages and + +476 +00:41:01,450 --> 00:41:02,490 +fibrotic tissue + +477 +00:41:05,270 --> 00:41:10,510 +بتنتج IL-5 بيه tumor cell and or background cell + +478 +00:41:10,510 --> 00:41:14,810 +طبعا + +479 +00:41:14,810 --> 00:41:17,790 +ال patient عندهم fever , night sweating و weight + +480 +00:41:17,790 --> 00:41:25,370 +loss و recent study using molecular technique have + +481 +00:41:25,370 --> 00:41:27,650 +shown rearrangement of immunoglobulin gene + +482 +00:41:27,650 --> 00:41:32,470 +suggesting that they are of B cell origin however + +483 +00:41:32,870 --> 00:41:35,550 +هذه اللمفومة تتعامل بشكل مختلف عن اللمفومة الكبيرة + +484 +00:41:35,550 --> 00:41:41,290 +بيسا ومن هناك تبقى مقارنة بشكل مختلف اللمفومة + +485 +00:41:41,290 --> 00:41:44,950 +تتعامل بشكل مختلف عن اللمفومة الهودجكينية ومع + +486 +00:41:44,950 --> 00:41:46,290 +اللمفومة اللي ليس هودجكينية ومع اللمفومة اللي ليس + +487 +00:41:46,290 --> 00:41:50,990 +هودجكينية ومع + +488 +00:41:50,990 --> 00:41:51,650 +اللمفومة اللي ليس هودجكينية ومع اللمفومة اللي ليس + +489 +00:41:51,650 --> 00:41:53,290 +هودجكينية ومع اللمفومة اللي ليس هودجكينية و + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/k6fYGUa0Alk_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/k6fYGUa0Alk_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..9e8d46fd22e85df77f6aa2e0b30e3441b6c94f4a --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/k6fYGUa0Alk_raw.srt @@ -0,0 +1,2012 @@ +1 +00:00:03,760 --> 00:00:07,740 +بسم الله الرحمن الرحيم نلتقي الآن في تكملة جزء + +2 +00:00:07,740 --> 00:00:14,560 +تاني من المحاضرة والتي هي بعنوان immunodeficiency + +3 +00:00:14,560 --> 00:00:18,460 +شرحنا في المحاضرة الأولى ال primary + +4 +00:00:18,460 --> 00:00:21,100 +immunodeficiency disease واليوم ان شاء الله هنحكي + +5 +00:00:21,100 --> 00:00:24,520 +على ال secondary immunodeficiencyو secondary + +6 +00:00:24,520 --> 00:00:28,140 +immunodeficiency من الاسم هي عبارة عن مضاعفات + +7 +00:00:28,140 --> 00:00:33,120 +لأمراض معينة أثرت على جهاز المنارة وبالتالي نتج + +8 +00:00:33,120 --> 00:00:42,380 +immunodeficiency syndrome او disease اشهر + +9 +00:00:42,380 --> 00:00:47,280 +أسبابها هو ال malnutrition وايضا من أشهر أسبابها + +10 +00:00:47,280 --> 00:00:54,860 +هو مضاعفات البعض العلاجات أشهرها كيموثيرابي + +11 +00:00:54,860 --> 00:00:58,620 +كيموثيرابيوتيك ايجانز او immunosuppressive في + +12 +00:00:58,620 --> 00:01:05,300 +حالات كمان ال cancer كمان ال immunosuppressive + +13 +00:01:05,300 --> 00:01:08,520 +treatment في حالات transplantation او ال + +14 +00:01:08,520 --> 00:01:12,980 +autoimmune disease ب autoimmunosuppression ايضا + +15 +00:01:12,980 --> 00:01:17,440 +ممكن نشوفها في حالات ال autoimmune disease with + +16 +00:01:17,440 --> 00:01:23,480 +overwhelming infectionأيضا ماليجنانسي بتؤدي الى + +17 +00:01:23,480 --> 00:01:32,240 +secondary اللى هو immunodeficiency disease طبعا + +18 +00:01:32,240 --> 00:01:35,140 +أشهر هذه الحالات هي acquired immunodeficiency + +19 +00:01:35,140 --> 00:01:41,620 +syndrome اللى هو ال aids وكلنا بنعرف ويروز ال aids + +20 +00:01:41,620 --> 00:01:47,460 +أخدته في ال ويرولوجي هذا هو هتتطلق لأشهر هذه ال + +21 +00:01:47,460 --> 00:01:50,340 +structure و ال component of such + +22 +00:01:56,160 --> 00:02:02,380 +HIV هو الفيروس اللى شوفنا الـ HIV هو الفيروس اللى + +23 +00:02:02,380 --> 00:02:05,340 +شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV هو + +24 +00:02:05,340 --> 00:02:05,420 +الفيروس اللى شوفنا الـ HIV هو الفيروس اللى شوفنا + +25 +00:02:05,420 --> 00:02:05,620 +الـ HIV هو الفيروس اللى شوفنا الـ HIV هو الفيروس + +26 +00:02:05,620 --> 00:02:06,200 +اللى شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV + +27 +00:02:06,200 --> 00:02:07,480 +هو الفيروس اللى شوفنا الـ HIV هو الفيروس اللى + +28 +00:02:07,480 --> 00:02:09,400 +شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV هو + +29 +00:02:09,400 --> 00:02:09,460 +الفيروس اللى شوفنا الـ HIV هو الفيروس اللى شوفنا + +30 +00:02:09,460 --> 00:02:09,460 +الـ HIV هو الفيروس اللى شوفنا الـ HIV هو الفيروس + +31 +00:02:09,460 --> 00:02:12,360 +اللى شوفنا الـ HIV هو الفيروس اللى شوفنا الـ HIV + +32 +00:02:12,360 --> 00:02:15,580 +هو الفيروس اللى شوفنا الـ HIV هو الفيروس اللى + +33 +00:02:15,580 --> 00:02:22,290 +شوفنا الـ HIV هو الفيروس اللىالـ Genome is diploid + +34 +00:02:22,290 --> 00:02:28,530 +بيتكوّن من two single strands أخرى عن إيه وبيمتلك + +35 +00:02:28,530 --> 00:02:36,090 +characteristicsof cone shaped core structure طبعا + +36 +00:02:36,090 --> 00:02:39,810 +الفجر واحد ايه واحد بيقوه بي represent the main + +37 +00:02:39,810 --> 00:02:44,870 +component of the virus هنشوفه ال HIV is enveloped + +38 +00:02:44,870 --> 00:02:50,270 +by lipid bilayer derived from the host cell + +39 +00:02:50,270 --> 00:02:55,350 +membrane viral + +40 +00:02:55,350 --> 00:03:00,810 +envelope is studied by virtually or virally + +41 +00:03:02,690 --> 00:03:04,350 +Glycoprotein انفجار انفجار انفجار انفجار + +42 +00:03:04,350 --> 00:03:31,550 +انفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانفجارانف + +43 +00:03:35,330 --> 00:03:43,150 +وReverse transcriptase enzyme وبيقولوا + +44 +00:03:43,150 --> 00:03:47,970 +انه بيحتوي + +45 +00:03:47,970 --> 00:03:54,670 +على 1200 موليكيول من P24 و AT وReverse + +46 +00:03:54,670 --> 00:03:59,730 +transcriptase و 280 من P-Lipoprotein 120 + +47 +00:04:03,810 --> 00:04:06,770 +أيضًا الـ HIV-Variant بيحتوي على number of + +48 +00:04:06,770 --> 00:04:10,110 +cellular proteins زي الـ Beta-2 وmicroglobulin + +49 +00:04:10,110 --> 00:04:14,710 +major histocompatibility complex انتجين اكتين and + +50 +00:04:14,710 --> 00:04:21,090 +ubiquity هذه البروتينات مع الـ glycoprotein 120 + +51 +00:04:21,090 --> 00:04:26,850 +surface protein or glycoprotein بتمثل ال adhesion + +52 +00:04:26,850 --> 00:04:31,770 +patches وهي ما تمكن الفيروس cell fusion + +53 +00:04:34,500 --> 00:04:41,440 +وPenetration الأساسي بالتركيز + +54 +00:04:41,440 --> 00:04:46,320 +أيضًا على هذه البروتينات نلاحظ أنها تحتوي على + +55 +00:04:46,320 --> 00:04:52,560 +pathogenesis غير مشكلة في الواقع مثلًا الـVirion + +56 +00:04:52,560 --> 00:04:56,300 +أساسية Class II الموليكيولية قد تشغّل تسل الرسيبتر + +57 +00:04:56,300 --> 00:04:59,300 +تشغّل تسل الرسيبتر تشغّل تسل الرسيبتر تشغل تسل + +58 +00:04:59,300 --> 00:05:01,380 +الرسيبتر تشغل تسل الرسيبتر تشغل تسل الرسيبتر تشغل + +59 +00:05:01,380 --> 00:05:02,680 +تسل الرسيبتر تشغل تسل الرسيبتر تشغل تسل الرسيبتر + +60 +00:05:02,680 --> 00:05:02,680 +تشغل تسل الرسيبتر تشغل تسل الرسيبتر تشغل ت + +61 +00:05:05,890 --> 00:05:13,090 +أسلام كمان تأدي إشارة للـ T lymphocytes لقتل نفسها + +62 +00:05:13,090 --> 00:05:19,750 +Cellular targets of HIV infection قالوا ت infect + +63 +00:05:19,750 --> 00:05:26,710 +CD4 T lymphocyte CD4 positive monocyte macrophage + +64 +00:05:26,710 --> 00:05:32,610 +including microglia CD4 Dendritic cell including + +65 +00:05:32,610 --> 00:05:33,950 +Langerhans cells + +66 +00:05:38,460 --> 00:05:43,960 +ماشي إصابات يعني لـ T lymphocytes و الـ antigen + +67 +00:05:43,960 --> 00:05:46,560 +present in cell Attachment follicular dendritic + +68 +00:05:46,560 --> 00:05:50,240 +cell in lymph nodes أمثل في الـ peer patches + +69 +00:05:50,240 --> 00:05:55,740 +Galactosel cerebrosite positive cell in brain and + +70 +00:05:55,740 --> 00:06:02,790 +gutكلها هادئي بتوصيب الـCD4 كليكوبروتين 120 + +71 +00:06:02,790 --> 00:06:10,530 +interaction هو أكتر يعني interaction مهم major + +72 +00:06:10,530 --> 00:06:16,230 +cell surface receptor على الـHIV هو is the CD4 + +73 +00:06:16,230 --> 00:06:20,890 +differentiation antigen several chemical receptors + +74 +00:06:20,890 --> 00:06:25,850 +act as a core receptor للـHIVمكروفيشتروبيك HIV + +75 +00:06:25,850 --> 00:06:31,910 +يستخدم كيموكاين ريسيبتو سي نمبر 5 ويعطي فقط مستوى + +76 +00:06:31,910 --> 00:06:36,430 +عالي من الـCD4 في أعضاء الحيوانات العضلية + +77 +00:06:36,430 --> 00:06:46,080 +الانفوتروبيك HIV أيضايستخدم كيموكاين رقم 4 الموجود + +78 +00:06:46,080 --> 00:06:49,920 +على سطح الـT للمفوسايتس لإستخدام عدد مرتفع عالي من + +79 +00:06:49,920 --> 00:06:57,080 +الـCD4 على محطة الـcell لأن الماكروفيج تستخدم + +80 +00:06:57,080 --> 00:07:00,500 +كيموكاين رقم 5 وبتحتاج إلى اتصال عالي + +81 +00:07:03,890 --> 00:07:11,710 +الـ lymphocyte lymphotropic HIV بيستخدم اللي هو + +82 +00:07:11,710 --> 00:07:16,830 +كيمكاين number four وبيحتاج ال high density on + +83 +00:07:16,830 --> 00:07:23,750 +expression on CD on T cell Genomic organization of + +84 +00:07:23,750 --> 00:07:32,390 +HIV وهذا هو هذا genomic organization هذا الترتيبهي + +85 +00:07:32,390 --> 00:07:37,990 +الـ long term الجاج والبول والانفلوب هذه أشهر + +86 +00:07:37,990 --> 00:07:45,570 +تلاتة جين موجودين طبعا + +87 +00:07:45,570 --> 00:07:49,610 +هي ال human + +88 +00:07:49,610 --> 00:07:54,530 +genome جاله ال length تبعت الساعة وستة من عشرة + +89 +00:07:54,530 --> 00:07:59,710 +kilobase يتكون من structure and regulatory + +90 +00:07:59,710 --> 00:08:06,470 +sequencesالثالثة وأربعة تشير إلى موقع أساسي للحياة + +91 +00:08:06,470 --> 00:08:13,110 +الهيوغوية الهيوغوية الهيوغوية + +92 +00:08:13,110 --> 00:08:17,470 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +93 +00:08:17,470 --> 00:08:18,870 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +94 +00:08:18,870 --> 00:08:19,650 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +95 +00:08:19,650 --> 00:08:19,650 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +96 +00:08:19,650 --> 00:08:20,810 +الهيوغوية الهيوغوية الهيوغوية الهيوغوية الهيوغوية + +97 +00:08:20,810 --> 00:08:24,070 +الهيوغ + +98 +00:08:35,440 --> 00:08:44,160 +أيضا وال بال polymerase الجاج + +99 +00:08:44,160 --> 00:08:46,740 +وال بول جين تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +100 +00:08:46,740 --> 00:08:50,420 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +101 +00:08:50,420 --> 00:08:50,420 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +102 +00:08:50,420 --> 00:08:50,520 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +103 +00:08:50,520 --> 00:08:50,540 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +104 +00:08:50,540 --> 00:08:50,540 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +105 +00:08:50,540 --> 00:08:55,440 +تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل تعمل + +106 +00:08:55,440 --> 00:09:02,170 +تعمل تعمل توبالتالي ممكن يتفادى component of their + +107 +00:09:02,170 --> 00:09:12,940 +own system long term repeatعلى طرفي الـ genome الـ + +108 +00:09:12,940 --> 00:09:15,700 +five الـ three-prime وfive-prime بيحتوي على + +109 +00:09:15,700 --> 00:09:19,640 +enhancer و promoter element ودول ضرورين for + +110 +00:09:19,640 --> 00:09:24,920 +transcription.HIV is initially transcribed into a + +111 +00:09:24,920 --> 00:09:30,160 +full-length messenger RNA which is translated into + +112 +00:09:30,160 --> 00:09:33,020 +structural GAG and pole protein + +113 +00:09:35,910 --> 00:09:39,090 +طبعا single and spliced messenger RNA is necessary + +114 +00:09:39,090 --> 00:09:45,150 +for envelope protein formation Regulatory gene زي + +115 +00:09:45,150 --> 00:09:53,590 +TAD اللي هو Transactivator أو Transcription من + +116 +00:09:53,590 --> 00:09:56,890 +الإسم it regulate replication and accelerate viral + +117 +00:09:56,890 --> 00:10:04,350 +protein production بألاف المرات REV اللي هو + +118 +00:10:04,350 --> 00:10:05,570 +regulator ovarian + +119 +00:10:07,810 --> 00:10:13,270 +بيسمح للـ Unspliced Messenger أنهي تتنهيب التنهيب + +120 +00:10:13,270 --> 00:10:14,270 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +121 +00:10:14,270 --> 00:10:14,490 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +122 +00:10:14,490 --> 00:10:14,910 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +123 +00:10:14,910 --> 00:10:19,430 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +124 +00:10:19,430 --> 00:10:19,990 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +125 +00:10:19,990 --> 00:10:20,230 +التنهيب التنهيب التنهيب التنهيب التنهيب التنهيب + +126 +00:10:20,230 --> 00:10:33,610 +التنهيب التنهيب التنهيب التنه + +127 +00:10:35,070 --> 00:10:40,710 +نف نيجاتيف ريجولاتي فاكتور بيزود اللاعيش IV + +128 +00:10:40,710 --> 00:10:46,850 +ريبليكيشن وبيخلي الفيروس more pathopathogenic VPR + +129 +00:10:46,850 --> 00:10:51,210 +Viral Protein R بيلعب دور كبير في ريجوليشن و Viral + +130 +00:10:51,210 --> 00:10:55,070 +Enzyme و Large gene expression وهو بيكون مهم جدا + +131 +00:10:55,070 --> 00:11:04,710 +in viral assemblyوانفكار ميكروفيجي ويمكن ان يحدث + +132 +00:11:04,710 --> 00:11:11,690 +امبوكتوزيس VPU ضايع البروتين U طبعا هذا بأثر على + +133 +00:11:11,690 --> 00:11:17,570 +ال HIV من + +134 +00:11:17,570 --> 00:11:20,790 +ال cell surface and contribute to CD4 degradation + +135 +00:11:20,790 --> 00:11:23,130 +within the endoplasmic reticulum + +136 +00:11:25,650 --> 00:11:29,350 +نشوف الـ infections و ال pathogenesis of HIV جالو + +137 +00:11:29,350 --> 00:11:33,090 +during the early phase of HIV infection قبل ما + +138 +00:11:33,090 --> 00:11:36,970 +يصير ال conversion ال virus propagate mainly في ال + +139 +00:11:36,970 --> 00:11:41,650 +peripheral blood mononuclear cell primary + +140 +00:11:41,650 --> 00:11:44,830 +infection may cause temporary depletion of CD4 + +141 +00:11:44,830 --> 00:11:49,010 +اللي موجودين في ال peripheral blood mononuclear + +142 +00:11:49,010 --> 00:11:49,430 +cell + +143 +00:11:52,580 --> 00:11:58,440 +هذا figure يوضح لنا تماما الأزرق كما تشاهدون هو + +144 +00:11:58,440 --> 00:12:04,860 +number of CD4T lymphocyte في + +145 +00:12:04,860 --> 00:12:09,440 +بداية ال infection تكون عالية و تبدأ تغطى لأن ال + +146 +00:12:09,440 --> 00:12:12,680 +infection حصل في الـ mononucleic arthrosis + +147 +00:12:12,680 --> 00:12:16,640 +peripheral + +148 +00:12:19,440 --> 00:12:27,600 +و هي بدت تنزل لل Zero والخط الأحمر هذا بيمثل ال + +149 +00:12:27,600 --> 00:12:34,520 +HIV RNA copies في البلازمة كانت قليلة ثم بدت تزيد + +150 +00:12:34,520 --> 00:12:40,460 +تزيد تزيد لغاية ما وصلت ل peak عالية ماشي و بعد + +151 +00:12:40,460 --> 00:12:46,850 +هيك بتنزل up to certain levelبس مش لل Zero و بعدين + +152 +00:12:46,850 --> 00:12:50,290 +تبدأ تطلع مرة تانية هذا بيسموها Zero Conversion + +153 +00:12:50,290 --> 00:12:54,230 +Area + +154 +00:12:55,670 --> 00:13:00,790 +طبعا زي ما انتوا شايفين قسموها إلى مراحل قالوا في + +155 +00:13:00,790 --> 00:13:07,190 +primary infection في acute HIV syndrome و بيصير في + +156 +00:13:07,190 --> 00:13:13,250 +wide dissemination of virus في ال lymphoid organs + +157 +00:13:13,250 --> 00:13:18,830 +ثم في clinical latency by constitutional symptoms + +158 +00:13:18,830 --> 00:13:23,130 +و opportunistic disease + +159 +00:13:28,090 --> 00:13:33,430 +هو الفجر التاني برضه بتمثلنا CD4 concentration + +160 +00:13:33,430 --> 00:13:41,270 +ماشي هيك against اللي هو ال time per month after + +161 +00:13:41,270 --> 00:13:46,970 +infection شايفين في البداية كانت ال CD4 ده هي + +162 +00:13:46,970 --> 00:13:55,050 +بالأحمر ماشي كانت عالية و بعدين بدت تنزل ماشي + +163 +00:13:56,440 --> 00:14:02,240 +الفيروس كابيز أو antigen بيبدأ قليل لكنه بيعلق و + +164 +00:14:02,240 --> 00:14:07,640 +بيصلق مستويات عالية مابيبدأ ينزل ماشي في ال + +165 +00:14:07,640 --> 00:14:11,640 +circumversion ماشي في فترة معينة ثم بيطلع مرة + +166 +00:14:11,640 --> 00:14:17,740 +تانية انت شايفي انتيبادي علاقة طبعا تكوين انتيبادي + +167 +00:14:17,740 --> 00:14:23,490 +تدمين ال glycoprotein 120طبعا هي في البداية بتكون + +168 +00:14:23,490 --> 00:14:28,030 +قليلة او صفر مابتبدأ تزيد و تزيد و تزيد up to + +169 +00:14:28,030 --> 00:14:34,950 +certain level وبعدين برضه تامتحن actually the + +170 +00:14:34,950 --> 00:14:37,710 +infection usually resides from cell related immune + +171 +00:14:37,710 --> 00:14:42,990 +response من خلال CD8 cytotoxic T cell and human + +172 +00:14:42,990 --> 00:14:48,170 +responses had to help virus to help to clear the + +173 +00:14:48,170 --> 00:14:55,690 +virusولكن للأسف الشديد بيصير failure to eradicate + +174 +00:14:55,690 --> 00:14:59,770 +HIV infection during asymptomatic period virus is + +175 +00:14:59,770 --> 00:15:03,670 +not completely latent but remain active in + +176 +00:15:03,670 --> 00:15:08,150 +lymphoid tissue as proved by PCR technique + +177 +00:15:08,150 --> 00:15:13,350 +monocytes are resistant to destruction by HIV + +178 +00:15:16,500 --> 00:15:22,480 +and they may act as a reservoir كمان بيقعدوا بتخبى + +179 +00:15:22,480 --> 00:15:27,420 +فيها اللى هى ال antigen presenting cell as well as + +180 +00:15:27,420 --> 00:15:34,220 +a vehicle بتساعد فى عملية تنقل ال virus from one + +181 +00:15:34,220 --> 00:15:38,660 +distance to another بيقولوا جيب ال HIV يالو ال + +182 +00:15:38,660 --> 00:15:44,480 +system يتدكر ان اكثر من 40 مليون person أصيبوا بيه + +183 +00:15:44,480 --> 00:15:55,550 +يشبه ال HIVفيروس من يوم اطلع لغاية ال 2006 طبعا + +184 +00:15:55,550 --> 00:16:02,610 +اشهر هذه المناطق sub-saharan و Africa لحالها فيها + +185 +00:16:02,610 --> 00:16:08,730 +25.3 مليون and these people are living with aids + +186 +00:16:08,730 --> 00:16:16,420 +في ال 2006 ايضا 4.3 مليونwere infected تلاتة مليون + +187 +00:16:16,420 --> 00:16:23,000 +منهم ماتوا و أكتر من خمسة و عشرين مليون ماتوا من + +188 +00:16:23,000 --> 00:16:26,540 +ال الفين و .. من سنة ألف سنة واحد تمانية لغاية + +189 +00:16:26,540 --> 00:16:32,100 +الفين و ستة موضوع + +190 +00:16:32,100 --> 00:16:35,820 +ال transmission طبعا بينتقل عن طريق ال sexual + +191 +00:16:35,820 --> 00:16:40,500 +contact عناس بلاسنترال transmission drug injection + +192 +00:16:42,190 --> 00:16:47,990 +Percutaneous Occupational Exposure Recipient of + +193 +00:16:47,990 --> 00:16:51,690 +Infected Blunt Recipient of Contaminated Organ or + +194 +00:16:51,690 --> 00:16:56,470 +Tissue and Breastfeeding كل هذه عوامل يستطيع + +195 +00:16:56,470 --> 00:17:00,470 +الفيروس أن ينتقل من خلالها طبعا common + +196 +00:17:00,470 --> 00:17:04,430 +opportunistic infection اما الجنانسي is associated + +197 +00:17:04,430 --> 00:17:10,290 +with AIDSApportunistic Infection زي البكتيريا + +198 +00:17:10,290 --> 00:17:14,610 +الشرها Mycobacterium Striptococcus Hemophilus + +199 +00:17:14,610 --> 00:17:19,070 +Influenza and Salmonella Viruses بتصاحب هذا + +200 +00:17:19,070 --> 00:17:24,230 +الموضوع Herpes Simplex and Zoster ويبشتن بالفيروس + +201 +00:17:24,230 --> 00:17:30,930 +Adenovirus-CMV Fungi Candida Histoplasma + +202 +00:17:30,930 --> 00:17:37,220 +Cryptococcus Aspergillus CoxidoidesProtozoa, + +203 +00:17:37,660 --> 00:17:43,320 +Toxoplasma, Nomocystis, Isospora and + +204 +00:17:43,320 --> 00:17:51,540 +Cryptosporidium مالك ناسي زي الـ Capusis Sarcoma + +205 +00:17:54,040 --> 00:17:58,360 +Percus-like lymphoma، Hodgkin disease، CNS + +206 +00:17:58,360 --> 00:18:03,380 +lymphoma، immunoplastic sarcoma، peripheral organ + +207 +00:18:03,380 --> 00:18:10,100 +lymphoma، lymphatic pre-leukemia، كلها associated + +208 +00:18:10,100 --> 00:18:14,300 +with such diseaseطب نشوف تأثيرات الـHIV على + +209 +00:18:14,300 --> 00:18:16,580 +الimmune system قالوا بأول حاجة بيصير فيه + +210 +00:18:16,580 --> 00:18:20,780 +depletion و CD4 و أصلا بس هي الـinfected و بيصير + +211 +00:18:20,780 --> 00:18:24,140 +فيه degrees لـDeleta بhypersensitivity لإنه أصلا + +212 +00:18:24,140 --> 00:18:29,820 +الـmacrophage كمان is إيش is infected increase + +213 +00:18:29,820 --> 00:18:34,280 +susceptibility of abortionistic infection decrease + +214 +00:18:34,280 --> 00:18:41,400 +production of IL-2 polyclonal hyper-globulinemia + +215 +00:18:42,150 --> 00:18:48,150 +الـ B-cell activation بوريكلونال تلقى خالة بصير في + +216 +00:18:48,150 --> 00:18:50,050 +production of auto-antibody وانتبادي وانتبادي + +217 +00:18:50,050 --> 00:18:50,810 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +218 +00:18:50,810 --> 00:18:52,810 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +219 +00:18:52,810 --> 00:18:54,010 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +220 +00:18:54,010 --> 00:18:55,170 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +221 +00:18:55,170 --> 00:18:57,210 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي + +222 +00:18:57,210 --> 00:19:02,130 +وانتبادي وانتبادي وانتبادي وانتبادي وانتبادي و + +223 +00:19:03,650 --> 00:19:06,170 +بارضه بيصير فيه زيادة في الـ Release of IL-1 + +224 +00:19:06,170 --> 00:19:11,970 +وAlpha Interferon ودولة Damaging the Tissue Green + +225 +00:19:11,970 --> 00:19:15,930 +Serum and Urine Neoprotein بيزيد الـ B2 + +226 +00:19:15,930 --> 00:19:21,470 +-Microglobulin ولسه ماقعدش IV Specific Cytotoxic T + +227 +00:19:21,470 --> 00:19:27,210 +Cell نفقدها بعد هيك كان فيش CD4 اللي ده فيش CD8 + +228 +00:19:27,210 --> 00:19:30,630 +وبرضه + +229 +00:19:30,630 --> 00:19:37,800 +بيزيد ال Unresponsiveness للـ CD4EDSM Prevention + +230 +00:19:37,800 --> 00:19:42,800 +and Control by Health Education خلال كل أدوات Air + +231 +00:19:42,800 --> 00:19:45,940 +التعليم + +232 +00:19:45,940 --> 00:19:54,060 +Early Diagnosis Blood Supply Testing Early Therapy + +233 +00:19:54,060 --> 00:19:58,700 +Counseling Services Special Attention to + +234 +00:19:58,700 --> 00:20:03,760 +Demographic Features of the Elderالـ Housing والـ + +235 +00:20:03,760 --> 00:20:07,320 +Prisons والـ Rural Healthcare والـ Immigration and + +236 +00:20:07,320 --> 00:20:11,340 +Travel كل هذه مناطق لازم الواحد ياخد باله منها + +237 +00:20:11,340 --> 00:20:16,620 +لأنه ممكن يصير فيها تتواجد + +238 +00:20:16,620 --> 00:20:24,480 +أسباب انتشار الـ HIVPrevention HIV infection and + +239 +00:20:24,480 --> 00:20:28,560 +healthcare worker في ال health worker لازم ياخدوا + +240 +00:20:28,560 --> 00:20:32,420 +بالهم أثناء عملية التعامل مع ال HIV infection من + +241 +00:20:32,420 --> 00:20:40,140 +خلال وير كودزand gloves use masks use precaution + +242 +00:20:40,140 --> 00:20:46,320 +يوم تستخدم اللي هو و تتحمل ال needles و ال Lancet + +243 +00:20:46,320 --> 00:20:50,400 +decontaminate work surfaces with chemical + +244 +00:20:50,400 --> 00:20:54,960 +germicides بغسل اليدين and remove protective + +245 +00:20:54,960 --> 00:21:00,780 +clothing before leaving the workplace dispose of + +246 +00:21:00,780 --> 00:21:04,430 +contaminated material طبعا كلها تعليماتانتوا + +247 +00:21:04,430 --> 00:21:08,610 +بتعرفوها avoid contaminating the outside of + +248 +00:21:08,610 --> 00:21:15,750 +container target for antiviral therapy بيعطوا علاج + +249 +00:21:15,750 --> 00:21:26,590 +ك antiviral بيمنع ال HIVbinding and cell entry من + +250 +00:21:26,590 --> 00:21:30,370 +خلال اعطائه ماذا هو Soluble recombinant CD4, + +251 +00:21:30,990 --> 00:21:38,470 +Dextran Sulfate, Castana, Spermine, Heparin, + +252 +00:21:38,690 --> 00:21:45,170 +Soluble Glycoprotein 120 كلها عبارة عن هذه اللي هو + +253 +00:21:45,170 --> 00:21:52,190 +علاجات تساعد في منع ارتباط ال HIV بالعيش ودخوله + +254 +00:21:52,190 --> 00:21:58,480 +للخليةReverse transcriptase طبعا هي إلاجات مختلفة + +255 +00:21:58,480 --> 00:22:04,140 +بتمنع اللي هو تعمل إجابة للـ Reverse transcriptase + +256 +00:22:04,140 --> 00:22:08,840 +في الداخل Resistant + +257 +00:22:08,840 --> 00:22:13,740 +strain of HIV too many drugs have emerged عشان هيك + +258 +00:22:13,740 --> 00:22:20,460 +بعتوا combination of antiviral drug عشان يتغلبوا + +259 +00:22:20,460 --> 00:22:24,610 +على resistant strainCombined therapy may include + +260 +00:22:24,610 --> 00:22:30,650 +highly active antiretroviral therapy for example + +261 +00:22:30,650 --> 00:22:33,710 +one protease inhibitor زائد two reverse + +262 +00:22:33,710 --> 00:22:36,990 +transcriptase inhibitor او three reverse + +263 +00:22:36,990 --> 00:22:40,350 +transcriptase inhibitor دي كلها combined therapy + +264 +00:22:40,350 --> 00:22:48,370 +يوم بيصير فيه resistance لل treatment of HIV ال + +265 +00:22:48,370 --> 00:22:52,490 +gene therapy طبعا هوInhibition of Viral + +266 +00:22:52,490 --> 00:22:57,090 +Translation Process Using Antisense Or Eucleotide + +267 +00:22:57,090 --> 00:23:03,290 +Or Ribosome Production Of Mutated Protein Which + +268 +00:23:03,290 --> 00:23:12,290 +Compete With Original Viral Protein Genetic + +269 +00:23:12,290 --> 00:23:16,450 +Manipulation Of Target Cellالتي تسمح لهم بالانتقال + +270 +00:23:16,450 --> 00:23:18,870 +أو الانتقال من الانتقال من الانتقال من الانتقال من + +271 +00:23:18,870 --> 00:23:20,450 +الانتقال من الانتقال من الانتقال من الانتقال من + +272 +00:23:20,450 --> 00:23:22,070 +الانتقال من الانتقال من الانتقال من الانتقال من + +273 +00:23:22,070 --> 00:23:23,550 +الانتقال من الانتقال من الانتقال من الانتقال من + +274 +00:23:23,550 --> 00:23:27,550 +الانتقال من الانتقال من الانتقال من الانتقال من + +275 +00:23:27,550 --> 00:23:30,510 +الانتقال من الانتقال من الانتقال من الانتقال من + +276 +00:23:30,510 --> 00:23:30,710 +الانتقال من الانتقال من الانتقال من الانتقال من + +277 +00:23:30,710 --> 00:23:35,750 +الانتقال من الانتقال من الانتقال من الانتقال من + +278 +00:23:35,750 --> 00:23:42,270 +الانتقال من الانتقال من الانتقال من ال + +279 +00:23:45,630 --> 00:23:52,730 +اللي هو mutation متعددة سلسل fusion allow HIV to + +280 +00:23:52,730 --> 00:24:00,590 +escape and actually escape anti-HIV latent phase + +281 +00:24:00,590 --> 00:24:04,230 +integration into cellular DNA cell mediated + +282 +00:24:04,230 --> 00:24:08,350 +immunity is deficient or delayed lack of animal + +283 +00:24:08,350 --> 00:24:15,600 +model زي شامبينزي developed antibody but notالـ + +284 +00:24:15,600 --> 00:24:22,280 +AIDS. Anti-HIV antibody may react with CD4 in a + +285 +00:24:22,280 --> 00:24:29,540 +similar way to HIV-CD4 interaction. يا سلام! Auto + +286 +00:24:29,540 --> 00:24:32,920 +-antibody and immune complexes have harmful effect + +287 +00:24:32,920 --> 00:24:37,780 +on many cells.يعني + +288 +00:24:37,780 --> 00:24:44,180 +حتى العلاج كمان Auto-antibody ممكن تتكونويتأثر على + +289 +00:24:44,180 --> 00:24:47,980 +او تعمل immune complexes وتأثر على وتزود الطيب بلى + +290 +00:24:47,980 --> 00:24:53,700 +يعنى Super infection with HIV with other HIV + +291 +00:24:53,700 --> 00:24:59,560 +strains Binding of antibody to GB with 120 is + +292 +00:24:59,560 --> 00:25:04,620 +difficult Limited knowledge of mucosal immunity + +293 +00:25:04,620 --> 00:25:09,820 +Live attenuated vaccine may revert to virulence + +294 +00:25:09,820 --> 00:25:15,700 +New approachانتيبادي ضد الهيوغو حتى انفجار + +295 +00:25:15,700 --> 00:25:21,180 +البروتين يسيطر على التأثير على الهيوغو اضافة CD4 + +296 +00:25:21,180 --> 00:25:28,800 +موليكولية لسلسلة ممكن تحفز مقاطع الهيوغو الهيوغو + +297 +00:25:28,800 --> 00:25:34,780 +يتعامل مع CD4 يمنع الهيوغو من التعامل مع الهيوغو + +298 +00:25:34,780 --> 00:25:38,280 +الهيوغو مرتبط بالسلسلة كانت + +299 +00:25:38,280 --> 00:25:43,390 +نفحصوقالوا بـ Serological Screening, Antigen + +300 +00:25:43,390 --> 00:25:46,870 +Detection, Cell Culturing, and Gene Amplification + +301 +00:25:46,870 --> 00:25:54,110 +by PCR ثم بالفلوسيتمتري بنهد الـ CD4 Cell + +302 +00:25:54,110 --> 00:25:58,770 +Serological Screening detect circulating Anti-HIV + +303 +00:25:58,770 --> 00:26:00,910 +Antibody، Anti-Antibody Reaction + +304 +00:26:05,340 --> 00:26:08,780 +يتم اكتشافه من خلال الـ Immunofluorescent Radial + +305 +00:26:08,780 --> 00:26:11,640 +Immunoprecipitation تقنية أو الـ Western Plotting + +306 +00:26:11,640 --> 00:26:15,800 +وPCR كل + +307 +00:26:15,800 --> 00:26:20,140 +هذا ما يتعلق بالإيهاش بالـ HIV Secondary + +308 +00:26:20,140 --> 00:26:23,460 +immunodeficiency أيضًا ممكن تدرج نتيجة وجود نيو + +309 +00:26:23,460 --> 00:26:29,120 +بلازم أو نظام لينفويد لينفويد لوكيميا لينفوما كمان + +310 +00:26:31,340 --> 00:26:37,700 +سجلت حالات كثيرة كسبب من أسباب ال immunodeficiency + +311 +00:26:37,700 --> 00:26:42,820 +زي اللوكيميا malignant cell are predominantly in + +312 +00:26:42,820 --> 00:26:48,760 +the circulation أو في ال bone marrow بتؤدي إلى قلة + +313 +00:26:48,760 --> 00:26:52,560 +في ال immune cells lymphoma برضه بتعمل solid + +314 +00:26:52,560 --> 00:26:56,560 +masses في ال lymph nodes في ال spleen في ال thymus + +315 +00:26:56,560 --> 00:27:01,180 +في ال extraنهد الأوريجان وهذه كلها مواقع ال + +316 +00:27:01,180 --> 00:27:09,140 +response بيلعب دور كبير فيها بيقاتل فيها بعد مرات + +317 +00:27:09,140 --> 00:27:12,340 +ال the same malignant cell type can show either + +318 +00:27:12,340 --> 00:27:22,240 +presentation للو كيميا و للمفولة في 1996 WHO أوسط + +319 +00:27:22,240 --> 00:27:26,120 +a classification system based on cell of origin + +320 +00:27:32,350 --> 00:27:39,630 +PVSTNK and stage of differentiation يعني قسم ال + +321 +00:27:39,630 --> 00:27:45,230 +immature precursor versus mature peripheral في + +322 +00:27:45,230 --> 00:27:50,810 +تابل ان شاء الله نتطلق له كمان للأسف شديد مالكنا + +323 +00:27:50,810 --> 00:27:53,290 +تسلقلها the same surface marker + +324 +00:27:55,530 --> 00:28:00,590 +لكنها لن تستمر في التطور لأنها ملقنة اما اللي نفسه + +325 +00:28:00,590 --> 00:28:04,490 +اللي هي ال cell surface marker هم يتجمدون في عدد + +326 +00:28:04,490 --> 00:28:09,370 +كبير ويصبحون من خلال احدة كلون يعني منو كلون او + +327 +00:28:09,370 --> 00:28:13,090 +كلون ويستخدمون + +328 +00:28:13,090 --> 00:28:17,890 +نفس الجانب كمقارنة + +329 +00:28:17,890 --> 00:28:22,310 +عادية بون مارو لـ immature بيسل ثايمس او + +330 +00:28:29,880 --> 00:28:34,160 +WHO Classification for Lymphoid Malignancy or + +331 +00:28:34,160 --> 00:28:42,820 +Neoplasm LB cell B cell proliferation Hodgkin + +332 +00:28:42,820 --> 00:28:50,270 +lymphomaPsyl-Neoplasm من الاسم Psyl-Lymphoplastic + +333 +00:28:50,270 --> 00:28:54,950 +Leukemia او Lymphoma Psyl-Acute Lymphoplastic + +334 +00:28:54,950 --> 00:29:02,330 +Leukemia كلهم يتجاربون بـ Pro-B, Pre-B او + +335 +00:29:02,330 --> 00:29:08,430 +الانفجارات في مرحلة التطوركما يظهر على صفحة الـ CD + +336 +00:29:08,430 --> 00:29:13,270 +على سطح هذه الخلايا. طبعا أيضا يمكن أن تثبت أو + +337 +00:29:13,270 --> 00:29:18,450 +تثبت بشكل محدد من اللوكيميا. + +338 +00:29:21,290 --> 00:29:26,630 +طبعا هي الصنبي + +339 +00:29:26,630 --> 00:29:33,450 +سل نيوبلازم المرتبط بالتعريف من الجنة إلى + +340 +00:29:33,450 --> 00:29:37,560 +الكرمزومةIncluding the immunoglobulin-inhibiting + +341 +00:29:37,560 --> 00:29:44,860 +gene on chromosome 14 طبعا ده هو اي بعض ال .. اللي + +342 +00:29:44,860 --> 00:29:50,940 +هو PCL2 ايجي على منطقة ده و chromosome 14 منطقة ال + +343 +00:29:50,940 --> 00:29:55,260 +-inhibiting gene rearrangement ماشي و هجمها طبعا + +344 +00:29:55,260 --> 00:29:58,620 +هاي another mutation CMEC اللي هو وجودها + +345 +00:29:58,620 --> 00:30:03,850 +chromosome رقم 18 و هي PCL1 ايضا كلهم بلعبوهأو + +346 +00:30:03,850 --> 00:30:08,070 +بيشتغلوا على هذه المنطقة اللي هي على كرمزوم 14 + +347 +00:30:08,070 --> 00:30:12,110 +وبالتالي بيعملوا خلل في ال immunoglobulin gene، + +348 +00:30:12,110 --> 00:30:16,230 +heavy-chain gene rearrangement فيوسمك بيعمل + +349 +00:30:16,230 --> 00:30:21,010 +Perkins lymphoma و ال PCL1 بيعمل mental zone + +350 +00:30:21,010 --> 00:30:24,970 +lymphopenia بينما ال PCL2 بيعمل follicular + +351 +00:30:24,970 --> 00:30:25,790 +lymphoma + +352 +00:30:28,000 --> 00:30:32,060 +بالإضافة إلى الـ Blast أو الـ Stem Cell Marker + +353 +00:30:32,060 --> 00:30:39,800 +CD34 يمكن أن تظهر CD10 أو CD19 كمعنى كمعنى كمعنى + +354 +00:30:39,800 --> 00:30:41,500 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +355 +00:30:41,500 --> 00:30:43,640 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +356 +00:30:43,640 --> 00:30:43,680 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +357 +00:30:43,680 --> 00:30:44,920 +كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى كمعنى + +358 +00:30:44,920 --> 00:30:49,560 +كمعنى كمعنى كمعنى ك + +359 +00:30:51,120 --> 00:30:57,740 +وهذا الانزيم عادةً يتطلب تجارب الجنة في مراحل + +360 +00:30:57,740 --> 00:31:05,660 +مبكرة جدا او TCR تجارب الجنة كيمافترابيا كانت + +361 +00:31:05,660 --> 00:31:11,220 +مفهومة في التعامل بالأطفال مع هذه اللوكيميا بيركتس + +362 +00:31:11,220 --> 00:31:15,640 +لينفومة اللوكيميا طبعاً مخصصة من التعامل + +363 +00:31:18,610 --> 00:31:24,110 +من خلال الـ Semic Oncogen وتدخله في الـ + +364 +00:31:24,110 --> 00:31:26,690 +Immunoglobulin heavy chain gene في هذا ال area + +365 +00:31:26,690 --> 00:31:35,190 +سواء كان في ال heavy chain او في ال two light + +366 +00:31:35,190 --> 00:31:40,590 +chain في جين اللي هو + +367 +00:31:43,930 --> 00:31:49,250 +Translocation 1.14 أو Translocation 1.22 أو + +368 +00:31:49,250 --> 00:31:53,590 +Translocation 2.1 كلها عبارة عن Translocation + +369 +00:31:53,590 --> 00:31:58,350 +Scenic روتين أيضا بنشط الجينات for cell + +370 +00:31:58,350 --> 00:32:01,370 +proliferationو Translocation to Immunoglobulin + +371 +00:32:01,370 --> 00:32:04,650 +gene بيؤدي إلى زيادة ال expression of C-Myc و + +372 +00:32:04,650 --> 00:32:09,730 +Increase cell proliferation. In equatorial Africa, + +373 +00:32:11,150 --> 00:32:13,790 +this lymphoma is endemic and is associated with a + +374 +00:32:13,790 --> 00:32:18,650 +Bstein-Barr virus or B cell lymphoma. البركز + +375 +00:32:18,650 --> 00:32:21,210 +ليمفومة هو واحد من الماليجنانسي اللي بتشوف في + +376 +00:32:21,210 --> 00:32:25,870 +immunosuppression للمرضى in which a Bstein-Barr + +377 +00:32:25,870 --> 00:32:30,660 +virus genome is also sometimes found in theلنفومة + +378 +00:32:30,660 --> 00:32:35,240 +معتقلة folicular lymphoma الاسم folicular ت + +379 +00:32:35,240 --> 00:32:38,780 +represent transformation of بيسل اللي موجودة + +380 +00:32:38,780 --> 00:32:42,100 +normally in lymph node follicles في ال folicular + +381 +00:32:42,100 --> 00:32:46,340 +lymphoma ال BCL2 هو اللي شغال، وشو بيعمل؟ أيضا + +382 +00:32:46,340 --> 00:32:50,540 +يتدخل في ال immunoglobulin inhibit chain gene وهذا + +383 +00:32:50,540 --> 00:32:54,320 +بيؤدي إلى continuous expression of BCL2 + +384 +00:32:56,900 --> 00:33:02,520 +الذي يمنع الموت من الصلبة الـ Mantle cell lymphoma + +385 +00:33:02,520 --> 00:33:08,840 +التحتاني اللي هو برضه قد دور ال PCA الواحد مش + +386 +00:33:08,840 --> 00:33:12,780 +الPCA الاتنين اللي بلعب دور كبير برضه وبرانيو + +387 +00:33:12,780 --> 00:33:16,490 +بلازم of this mantle cellتشهد بشكل نفسي بـ Cell + +388 +00:33:16,490 --> 00:33:19,150 +Phenotype كما يحدث أيضًا للمشاركات الطبيعية الـ + +389 +00:33:19,150 --> 00:33:24,610 +C19-25 and Surface Immunoglobulin زي ما قلنا + +390 +00:33:24,610 --> 00:33:32,810 +الـPCL-1 بلعب دوري كبير في الجينات في إحداث الـ + +391 +00:33:32,810 --> 00:33:40,500 +Translocation ما بين 11 و14 It has higherسرعة + +392 +00:33:40,500 --> 00:33:45,560 +مفتوحة وشركات أكثر عضوية من اللنفومة الفوليكيلارية + +393 +00:33:45,560 --> 00:33:53,120 +مقارنة اللنفومة ليش + +394 +00:33:53,120 --> 00:33:57,720 +طبعا associated with مرض ليه ميكوزر associated + +395 +00:33:57,720 --> 00:34:02,820 +lymphoid tissue ايضا maybe associated with chronic + +396 +00:34:02,820 --> 00:34:07,110 +antigenic stimulation او autoimmune diseaseعلى + +397 +00:34:07,110 --> 00:34:09,610 +سبيل المثال الهيليكوفاكتر الهيليكوفاكتر + +398 +00:34:09,610 --> 00:34:09,870 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +399 +00:34:09,870 --> 00:34:12,690 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +400 +00:34:12,690 --> 00:34:14,550 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +401 +00:34:14,550 --> 00:34:17,690 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +402 +00:34:17,690 --> 00:34:18,970 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +403 +00:34:18,970 --> 00:34:25,570 +الهيليكوفاكتر الهيليكوفاكتر الهيليكوفاكتر + +404 +00:34:25,570 --> 00:34:28,890 +الهيليكوفاكتر + +405 +00:34:28,890 --> 00:34:34,410 +الهيليكوفثعيرو دايدس الواجهة اللي بيصير high + +406 +00:34:34,410 --> 00:34:39,390 +incidence of this B cell lymphoma Chronic + +407 +00:34:39,390 --> 00:34:44,950 +antigenic stimulation بيقدّي الى fertile group for + +408 +00:34:44,950 --> 00:34:49,150 +the development of B cell lymphoma طبعا B cell + +409 +00:34:49,150 --> 00:34:52,850 +بتستمر في احداث somatic mutation في immunoglobulin + +410 +00:34:52,850 --> 00:35:00,030 +gene ايضا سجلوا defect in the regulation of B cell + +411 +00:35:00,970 --> 00:35:04,570 +بسبب نقل من تسل تسل تسل تسل تسل تسل تسل تسل تسل + +412 +00:35:04,570 --> 00:35:13,350 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +413 +00:35:13,350 --> 00:35:16,170 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +414 +00:35:16,170 --> 00:35:16,170 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +415 +00:35:16,170 --> 00:35:16,170 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +416 +00:35:16,170 --> 00:35:16,170 +تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل تسل + +417 +00:35:16,170 --> 00:35:22,310 +تسل تسل تسل + +418 +00:35:22,310 --> 00:35:28,550 +ت + +419 +00:35:30,050 --> 00:35:35,490 +أمريكان و Western Europe تسيب الإختيارية الوضع + +420 +00:35:35,490 --> 00:35:41,510 +الوضع الوضع + +421 +00:35:41,510 --> 00:35:44,870 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +422 +00:35:44,870 --> 00:35:45,730 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +423 +00:35:45,730 --> 00:35:45,770 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +424 +00:35:45,770 --> 00:35:45,770 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +425 +00:35:45,770 --> 00:35:45,770 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +426 +00:35:45,770 --> 00:35:50,030 +الوضع الوضع الوضع الوضع الوضع الوضع الوضع + +427 +00:35:50,030 --> 00:35:52,870 +الوضع الوضع + +428 +00:35:56,520 --> 00:36:03,440 +من الاسم plasma-cytoma وطبعا it's also called + +429 +00:36:03,440 --> 00:36:10,160 +multiple myeloma or plasma cell myeloma Tile 6 + +430 +00:36:10,160 --> 00:36:13,960 +function as a autocrine growth factor for myeloma + +431 +00:36:13,960 --> 00:36:19,800 +cell فطبعا النيو بلاستيك في ال multiple myeloma + +432 +00:36:19,800 --> 00:36:27,040 +بيتتصنع monoclonal immunoglobulinأو بروتين زي الـ + +433 +00:36:27,040 --> 00:36:30,080 +Benzoyl Protein اللي عبارة عن Light Immunoglobulin + +434 +00:36:30,080 --> 00:36:36,840 +Chain اللي يمر في الـ Urine وطبعا هذه ممكن تكون + +435 +00:36:36,840 --> 00:36:40,620 +Amyloid اللي يمكن أن يسبب فيها خطأ أورجام خاصة في + +436 +00:36:40,620 --> 00:36:45,040 +الجدن Limphoplasmicytic + +437 +00:36:45,040 --> 00:36:49,120 +Limphoma أو + +438 +00:36:49,120 --> 00:36:52,820 +ما تسمى بالـ Waldenstrom Macroglobulinemia + +439 +00:36:55,160 --> 00:37:00,900 +طبعا هنا بـ Lymphocytes بتصنع لنا IgM كل اللي صار + +440 +00:37:00,900 --> 00:37:05,200 +انها فشلت الخلية في انها تنتقل من الـ B-cell إلى + +441 +00:37:05,200 --> 00:37:13,960 +الـ plasma cell فبتجه في النص المرحلة وبتعمل .. + +442 +00:37:13,960 --> 00:37:18,780 +بنشوف خلية بسموها lymphoplasmic cytoid أو plasma + +443 +00:37:18,780 --> 00:37:24,320 +cytomusبيصير فيه over production ال IGM وهذا بيعمل + +444 +00:37:24,320 --> 00:37:32,020 +hyperviscosity وايضا circulating problem is done + +445 +00:37:32,020 --> 00:37:36,720 +لإنه فيه hyperviscosity خصوصا في ال extremities زي + +446 +00:37:36,720 --> 00:37:43,220 +ال fingers و ال toys تيسل ميوبلازم precursor تيسل + +447 +00:37:43,220 --> 00:37:48,620 +acute lymphoblastic leukemia it has characteristic + +448 +00:37:48,620 --> 00:37:57,130 +identityالذين كانوا مفجرين في موقعهم الانفجار تي + +449 +00:37:57,130 --> 00:38:00,450 +أكيوت لينفو بلاستيك لو كيميا اكسبرس بان تي سيل + +450 +00:38:00,450 --> 00:38:07,350 +ماركات زي cd2 و5 و7 و تي أكيوت لينفو بلاستيك لو + +451 +00:38:07,350 --> 00:38:08,930 +كيميا تي سيل ماركات زي cd2 و5 و7 و تي أكيوت لينفو + +452 +00:38:08,930 --> 00:38:12,610 +بلاستيك لو كيميا تي سيل ماركات زي cd2 و5 و7 و تي + +453 +00:38:12,610 --> 00:38:15,130 +أكيوت لينفو بلاستيك لو كيميا تي سيل ماركات زي cd2 + +454 +00:38:15,130 --> 00:38:18,630 +و5 و7 و تي أكيوت لينفو بلاستيك لو كيميا تي سيل + +455 +00:38:18,630 --> 00:38:23,680 +ماركات زي cd2 و5 و7 و تي أكيوت لينفو بلاT تمثل + +456 +00:38:23,680 --> 00:38:33,160 +الوكيميا أو كمزة ثائمية أفضل تي سيل بيو بلازم هذي + +457 +00:38:33,160 --> 00:38:37,960 +أكثر من + +458 +00:38:37,960 --> 00:38:44,340 +بي سيل لوفرومةفي منها كيتينوس تيسل لينفوما بيصير + +459 +00:38:44,340 --> 00:38:49,120 +infiltration to the epidermis with malignant CD4 T + +460 +00:38:49,120 --> 00:38:54,280 +cell وطبعا هذا بيقدي للانتشار في ال lymph nodes + +461 +00:38:54,280 --> 00:38:58,780 +and even into the blood الماليجنان + +462 +00:38:58,780 --> 00:39:02,280 +تيسل أيضا found in the circulation are called + +463 +00:39:02,280 --> 00:39:06,500 +cesarean cell والسندروم بيسموه cesarean syndrome + +464 +00:39:07,920 --> 00:39:12,780 +أضالة T-cell أكيد لنفوذ T لنفوذ بلاستيك لوكيميا أو + +465 +00:39:12,780 --> 00:39:22,520 +لنفومة It's an aggressive disease and it's new + +466 +00:39:22,520 --> 00:39:27,460 +plasma of mature CD4 T cell IL2 بلعب دورة as + +467 +00:39:27,460 --> 00:39:32,120 +autocrine growth factor for these cells It's + +468 +00:39:32,120 --> 00:39:35,720 +caused by retrovirus human T cell lymphotropic + +469 +00:39:35,720 --> 00:39:43,680 +virus 1التي تم تسميها وإزالتها قبل إعادة الـ AIDS + +470 +00:39:43,680 --> 00:39:51,380 +والـ HIV التنمية متشابهة إلى الـ HIV تدخل في عامين + +471 +00:39:51,380 --> 00:39:52,660 +من عامين من عامين من عامين من عامين من عامين من + +472 +00:39:52,660 --> 00:39:53,140 +عامين من عامين من عامين من عامين من عامين من عامين + +473 +00:39:53,140 --> 00:39:54,980 +من عامين من عامين من عامين من عامين من عامين من + +474 +00:39:54,980 --> 00:39:57,340 +عامين من عامين من عامين من عامين من عامين من عامين + +475 +00:39:57,340 --> 00:39:59,880 +من عامين من عامين من عامين من عامين من عامين من + +476 +00:39:59,880 --> 00:39:59,880 +عامين من عامين من عامين من عامين من عامين من عامين + +477 +00:39:59,880 --> 00:39:59,880 +من عامين من عامين من عامين من عامين من عامين من + +478 +00:39:59,880 --> 00:40:03,160 +عامين من عامين من عامين من عامين من عامين من عامين + +479 +00:40:03,620 --> 00:40:09,820 +ATL-L CD4 T-cells harbor the virus in quiescent + +480 +00:40:09,820 --> 00:40:17,040 +state it's not cytolytic Hodgkin lymphoma طبعا + +481 +00:40:17,040 --> 00:40:22,660 +بتشتهر بوجود خلية مميزة هي برابعي nucleated + +482 +00:40:22,660 --> 00:40:30,040 +malignant cell بيسموها red sterbic cells وبتشبه + +483 +00:40:30,040 --> 00:40:40,010 +اللي هوأتخارية كبيرة فيها تونيوكلياس غالبا و it's + +484 +00:40:40,010 --> 00:40:44,770 +usually a reactive background بتمثل reactive + +485 +00:40:44,770 --> 00:40:49,570 +background او multicell زينوفيل بلازمة يعني موجودة + +486 +00:40:49,570 --> 00:40:57,010 +في في في tissue infiltrated with many cell منها + +487 +00:40:57,010 --> 00:41:01,450 +multicell زينوفيل بلازمة cell macrophages and + +488 +00:41:01,450 --> 00:41:02,490 +fibrotic tissue + +489 +00:41:05,270 --> 00:41:10,510 +بتنتج IL-5 بيه tumor cell and or background cell + +490 +00:41:10,510 --> 00:41:14,810 +طبعا + +491 +00:41:14,810 --> 00:41:17,790 +ال patient عندهم fever , night sweating و weight + +492 +00:41:17,790 --> 00:41:25,370 +loss و recent study using molecular technique have + +493 +00:41:25,370 --> 00:41:27,650 +shown rearrangement of immunoglobulin gene + +494 +00:41:27,650 --> 00:41:32,470 +suggesting that they are of B cell origin however + +495 +00:41:32,870 --> 00:41:35,550 +هذه اللمفومة تتعامل بشكل مختلف عن اللمفومة الكبيرة + +496 +00:41:35,550 --> 00:41:41,290 +بيسا ومن هناك تبقى مقارنة بشكل مختلف اللمفومة + +497 +00:41:41,290 --> 00:41:44,950 +تتعامل بشكل مختلف عن اللمفومة الهودجكينية ومع + +498 +00:41:44,950 --> 00:41:46,290 +اللمفومة اللي ليس هودجكينية ومع اللمفومة اللي ليس + +499 +00:41:46,290 --> 00:41:50,990 +هودجكينية ومع + +500 +00:41:50,990 --> 00:41:51,650 +اللمفومة اللي ليس هودجكينية ومع اللمفومة اللي ليس + +501 +00:41:51,650 --> 00:41:51,650 +هودجكينية ومع اللمفومة اللي ليس هودجكينية ومع + +502 +00:41:51,650 --> 00:41:51,650 +اللمفومة اللي ليس هودجكينية ومع اللمفومة اللي ليس + +503 +00:41:51,650 --> 00:41:53,290 +هودجكينية ومع اللمفومة اللي ليس هودجكينية و + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..f0784760d075f0a476fcc9845d982affeaecafd4 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_postprocess.srt @@ -0,0 +1,2580 @@ +1 +00:00:08,120 --> 00:00:12,240 +نلتقي اليوم في محاضرة جديدة بعنوان MHC gene and + +2 +00:00:12,240 --> 00:00:18,320 +products ال MHC gene ما عبارة عن جينات موجودين على + +3 +00:00:18,320 --> 00:00:23,460 +كرمزوم رقم ستة in a human and they are called HLA + +4 +00:00:23,460 --> 00:00:27,980 +human glycoside antigen وما عبارة عن نوعين MHC + +5 +00:00:27,980 --> 00:00:34,830 +class 1هو تلات أنواع لكن هؤلاء اللي مرتبطين + +6 +00:00:34,830 --> 00:00:38,450 +بانتجين + +7 +00:00:38,450 --> 00:00:46,990 +وانتجين وانتجين وانتجين + +8 +00:00:46,990 --> 00:00:53,470 +انتجين انتجين انتجين انتجين انتجين انتجين انتجين + +9 +00:00:53,470 --> 00:00:57,550 +انتجين انتجين + +10 +00:00:57,550 --> 00:00:58,270 +انتجين انتجين انتجين انتجين انتجين انتجين انتجين + +11 +00:00:58,270 --> 00:00:58,290 +انتجين انتجين انتجين انتجين انتجين انتجين انتجين + +12 +00:00:58,290 --> 00:01:03,660 +انتجين انتجينوهنا فينا تلاتة individual genes for + +13 +00:01:03,660 --> 00:01:09,520 +class 1 و تلاتة individual sets of genes ايضا for + +14 +00:01:09,520 --> 00:01:19,180 +class 2 class 1 بيسموهم HLA A وB وC بينما class 2 + +15 +00:01:19,180 --> 00:01:27,740 +بيسموه HLA DB DQ DR ال + +16 +00:01:33,600 --> 00:01:40,300 +Each MHC class subregion طبعاً they are present on + +17 +00:01:40,300 --> 00:01:46,700 +كرمزوم رقم ستة in three different region دي ال + +18 +00:01:46,700 --> 00:01:52,860 +region A وB وC وD four different region وفي هنا + +19 +00:01:52,860 --> 00:01:57,000 +subregion ال subregion تحتوي على في class two MHC + +20 +00:01:57,000 --> 00:02:04,540 +class two تحتوي على A or and B genethat they code + +21 +00:02:04,540 --> 00:02:12,800 +for alpha or beta اللي هو chain respectively على + +22 +00:02:12,800 --> 00:02:23,000 +سبيل المثال ال HLA-DBA gene codes for DB alpha و + +23 +00:02:23,000 --> 00:02:25,740 +ال HLA-DB molecule + +24 +00:02:33,320 --> 00:02:39,560 +أيضا code for DBE بيتا هنشوفه ان شاء الله في صورة + +25 +00:02:39,560 --> 00:02:45,520 +واضحة بشكل أفضل The + +26 +00:02:45,520 --> 00:02:53,620 +two chain molecule هي DQ α بيتا DQ α بيتا و DR α + +27 +00:02:53,620 --> 00:02:59,720 +بيتانفس الحكاية ما انطبق على ال DB انطبق بانطبق + +28 +00:02:59,720 --> 00:03:05,240 +على DQ و DR في عندهم Alpha و Beta كل واحد كل واحد + +29 +00:03:05,240 --> 00:03:12,240 +او كل جن مسؤول عن DB DQ او R ب code for two bullet + +30 +00:03:12,240 --> 00:03:16,440 +بتاعة ال chain اللي Alpha و BetaMLC Class I + +31 +00:03:16,440 --> 00:03:21,340 +موليكيول مواجهة على كل خلال المخلوق المخلوق + +32 +00:03:21,340 --> 00:03:23,620 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +33 +00:03:23,620 --> 00:03:23,720 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +34 +00:03:23,720 --> 00:03:24,040 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +35 +00:03:24,040 --> 00:03:25,660 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +36 +00:03:25,660 --> 00:03:28,380 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +37 +00:03:28,380 --> 00:03:34,440 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +38 +00:03:34,440 --> 00:03:35,340 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +39 +00:03:35,340 --> 00:03:43,020 +المخلوق + +40 +00:03:43,780 --> 00:03:46,940 +بينما class 2 موجودة على الانتجين presenting cell + +41 +00:03:46,940 --> 00:03:52,280 +و it's limited to certain cells it's limited to + +42 +00:03:52,280 --> 00:03:58,380 +certain cells expression expression of MSC class 1 + +43 +00:03:58,380 --> 00:04:05,450 +is coordinateيعني التلاتة كل التلاتة mhc class one + +44 +00:04:05,450 --> 00:04:07,910 +molecule are expressed on the surface of the sea + +45 +00:04:07,910 --> 00:04:11,810 +at the same time تلاتة they are inherited + +46 +00:04:11,810 --> 00:04:16,370 +expression their expression together they are + +47 +00:04:16,370 --> 00:04:20,050 +coordinate أيضا + +48 +00:04:20,050 --> 00:04:26,630 +ال mhc class two is expressed coordinately لكن في + +49 +00:04:26,630 --> 00:04:30,870 +شوية regulation class واحديمكن أن يتم إدراجه في + +50 +00:04:30,870 --> 00:04:36,830 +مفاوضة أي MSC Class 2 طبيعي جدا هذا يسمى إدراج + +51 +00:04:36,830 --> 00:04:42,110 +وهذا يسمى إدراج لواحده لأن هذا موجود على خلايا + +52 +00:04:42,110 --> 00:04:46,450 +وهذا موجود على خلايا مستوى MSC Class 1 و2 إدراج + +53 +00:04:46,450 --> 00:04:53,770 +على سطح الخلايا يمكن أن يتم إدراجه أو يتم إدراجه + +54 +00:04:53,770 --> 00:04:54,310 +أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم + +55 +00:04:54,310 --> 00:04:55,090 +إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه + +56 +00:04:55,090 --> 00:04:56,250 +أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم + +57 +00:04:56,250 --> 00:04:58,830 +إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه + +58 +00:04:58,830 --> 00:05:01,750 +أو يتم إدEnhance the expression of class 2 among C + +59 +00:05:01,750 --> 00:05:09,470 +molecules and class 1 وهذه + +60 +00:05:09,470 --> 00:05:16,410 +الصورة موضحة تماما وهي class 1 موجود على ايه منه + +61 +00:05:16,410 --> 00:05:24,010 +تلات انواع A وB وC وهي class 2 أيضا موجود على اللي + +62 +00:05:24,010 --> 00:05:33,760 +هو ال D regionويقسمون الى DB وDQ وDR ويهان كل جين + +63 +00:05:33,760 --> 00:05:41,540 +مسئول عن الـA أو الـB أو الـC code for Alpha + +64 +00:05:41,540 --> 00:05:48,120 +polypeptide gene فقط وفي مكان أخر بيتصنع الـBeta 2 + +65 +00:05:48,120 --> 00:05:52,040 +-microglobulin اللي بيشبك في الـAlpha وبيدينا + +66 +00:05:52,040 --> 00:05:58,700 +class Iمحc موليكيول هي عبارة عن تلاتة alpha تلاتة + +67 +00:05:58,700 --> 00:06:04,280 +domain of alpha مرتبط بال beta 2 micro blob وما + +68 +00:06:04,280 --> 00:06:10,880 +ينطبق على ال a ينطبق على ال b و ال c بينما class 2 + +69 +00:06:10,880 --> 00:06:14,160 +محc موليكيول انها دي دي دي دي دي دي دي دي دي دي دي + +70 +00:06:14,160 --> 00:06:15,900 +دي دي دي دي دي دي دي دي دي دي + +71 +00:06:24,140 --> 00:06:29,480 +أما Alpha و Beta طبعا هنا في Alpha و Beta و Alpha + +72 +00:06:29,480 --> 00:06:32,460 +و Beta و Alpha و Beta في التلاتة فالتانية التلاتة + +73 +00:06:32,460 --> 00:06:37,420 +طبعا they are expressed on the surface as Alpha و + +74 +00:06:37,420 --> 00:06:41,300 +Beta لكن Alpha وجدوا أنه في لها two domain Alpha 1 + +75 +00:06:41,300 --> 00:06:44,820 +و Alpha 2 و Beta لها أيضا two domain Beta 1 و Beta + +76 +00:06:44,820 --> 00:06:48,700 +2 فبالتالي ال structure of class 2 في جميع الأحوال + +77 +00:06:48,700 --> 00:06:51,060 +Alpha 1 و Alpha 2 و Beta 1 و Beta 2 + +78 +00:06:55,440 --> 00:07:03,920 +وهي ال class one mhc molecule زي ما انتوا شايفين + +79 +00:07:03,920 --> 00:07:10,160 +بيتكون من one polypeptide chain لكنها عبارة عن + +80 +00:07:10,160 --> 00:07:13,760 +three different domain Alpha one, Alpha two, Alpha + +81 +00:07:13,760 --> 00:07:18,220 +three مرتبطين بمين؟ بال beta two microglobulin + +82 +00:07:18,220 --> 00:07:23,380 +مرتبطين non-covalently بمين؟ بال beta two + +83 +00:07:23,380 --> 00:07:29,700 +microglobulinلأ الـ alpha domain is connected to + +84 +00:07:29,700 --> 00:07:31,920 +each other by the sulphide bond ونفس الحكاية ال + +85 +00:07:31,920 --> 00:07:38,840 +beta2 microglobulin intra-disulphide bond ال + +86 +00:07:38,840 --> 00:07:47,400 +domains of alpha ماشي + +87 +00:07:47,400 --> 00:07:51,200 +موجود ان ال alpha 1 و ال alpha 2 are external + +88 +00:07:51,200 --> 00:07:57,930 +domain and they are variableThey are invariable + +89 +00:07:57,930 --> 00:08:04,210 +يعني انفرادتشين وبالتالي هم من يحددوا ال + +90 +00:08:04,210 --> 00:08:07,250 +variability او ال specificity وبعملش class one + +91 +00:08:07,250 --> 00:08:17,150 +molecule وفيها ال growth التجويف which bind to the + +92 +00:08:17,150 --> 00:08:21,730 +peptide ماشي وزي ما انتوا شايفين ال growth is + +93 +00:08:21,730 --> 00:08:26,900 +closedماشي وهذه نقطة مهمة لأنه بما أنه closed يبقى + +94 +00:08:26,900 --> 00:08:33,660 +مابقدرش يستوعب بيبتايد بحجم كبير فارتباط البيبتايد + +95 +00:08:33,660 --> 00:08:38,620 +بيكون هان واللي فوق عبارة عن إيش ال variable Alpha + +96 +00:08:38,620 --> 00:08:43,840 +3 Beta 2 Microglobulin بيشكلوا أو بيمثلوا ال + +97 +00:08:43,840 --> 00:08:53,570 +constant domain وفي Alpha 3 بيرتبط ال CD8بينما الـ + +98 +00:08:53,570 --> 00:08:57,230 +Antigen ده هو اللي موجود في الـ Groove بيرتبط في + +99 +00:08:57,230 --> 00:09:00,950 +الـ TCR وهذه واضحة صورة موضحة هاي الـ Peptide + +100 +00:09:00,950 --> 00:09:07,470 +وموجود ده بين Alpha 1 و Alpha 2 وزي ما انتوا + +101 +00:09:07,470 --> 00:09:12,210 +شايفين الـ Groove بيحمل Peptide لها تجاوز حجمها 8 + +102 +00:09:12,210 --> 00:09:17,710 +إلى 9 Amino Acids وهذه بتقدم إلى الـ TCR من يرتبط + +103 +00:09:17,710 --> 00:09:23,070 +بها الـ TCRلكن Alpha-3 بترتبط بمين؟ بالـ Co + +104 +00:09:23,070 --> 00:09:29,270 +-Receptor سمناه CDH CD8 لأنه MLC Class I ملكيوري + +105 +00:09:29,270 --> 00:09:40,370 +بيقدم الانتجن لمين؟ لـ CD8 Alpha + +106 +00:09:40,370 --> 00:09:49,930 +Class II MLC ملكيوري هم برضه بيتكون منطوب الـ + +107 +00:09:49,930 --> 00:09:55,310 +peptide chain Alpha وBeta وكل واحدة منهم فيها two + +108 +00:09:55,310 --> 00:09:58,570 +domain ففيها Alpha 1 وAlpha 2 وBeta 1 وBeta 2 + +109 +00:09:58,570 --> 00:10:03,450 +ويعني برضه منقسمين إلى ال variable و constant + +110 +00:10:03,450 --> 00:10:07,170 +region فال variable بتشكل Alpha 1 وBeta 1 وفيها ال + +111 +00:10:07,170 --> 00:10:15,330 +group وفيها ال pocket اللي بيرتبط بال بيبتايد + +112 +00:10:15,330 --> 00:10:24,730 +antigenic peptideوزمتوا شايفين الـ peptide هنا is + +113 +00:10:24,730 --> 00:10:30,550 +open ال growth is open وبالتالي يستطيع انه يحمل او + +114 +00:10:30,550 --> 00:10:37,610 +يرتبط ال peptide اكبر حجما يبقى اللي فوق عبارة عن + +115 +00:10:37,610 --> 00:10:41,390 +variable Alpha 2 و Beta 2 دولة بشكل ال constant + +116 +00:10:41,390 --> 00:10:50,350 +region ايضا ال CD4 بيرتبط بال Beta 2CD4 بيرتبط + +117 +00:10:50,350 --> 00:10:54,330 +بالـ Beta 2 شايفين بيبتعد حجم من 12 ل 20 amino + +118 +00:10:54,330 --> 00:11:00,170 +acids يعني حجم كبير و TCR ده هو بيرتبط بمين؟ بال + +119 +00:11:00,170 --> 00:11:04,730 +MSC Class 2 موليكيول بالانتجن اللي ممسوك بالMSC + +120 +00:11:04,730 --> 00:11:11,170 +Class 2 موليكيول ال variability of MSC gene and + +121 +00:11:11,170 --> 00:11:11,650 +product + +122 +00:11:14,980 --> 00:11:19,880 +الـ Genetic Polymorphism وجدوا أنه فيه Different + +123 +00:11:19,880 --> 00:11:23,040 +Alleles + +124 +00:11:23,040 --> 00:11:33,980 +ماشي Presence in each MHC Class I أو Class II وهذا + +125 +00:11:33,980 --> 00:11:40,540 +ما يسمى طبعا ما يُعرف بالـ Polymorphism أن الجين + +126 +00:11:40,540 --> 00:11:44,340 +نفسه هو عبارة عن Polymorphic Genein different + +127 +00:11:44,340 --> 00:11:48,300 +individual في different alleles ماشي و بيسمو هذه + +128 +00:11:48,300 --> 00:11:52,040 +الظاهرة within the same species different + +129 +00:11:52,040 --> 00:11:55,700 +individual within a species have slightly + +130 +00:11:55,700 --> 00:11:59,420 +different form يعني عندهم different form of allele + +131 +00:11:59,420 --> 00:12:05,000 +و طبعا each class one و class two are different in + +132 +00:12:05,000 --> 00:12:10,660 +different individual at a single MSC locusالشخص + +133 +00:12:10,660 --> 00:12:14,220 +المختلف يمتلك طبيعية مختلفة من الجينات الطبيعية + +134 +00:12:14,220 --> 00:12:20,640 +جدا بما أنها متجاربة وفي مجموعات مختلفة يبقى بين + +135 +00:12:20,640 --> 00:12:25,260 +الشخص يبقى كل شخص يمتلك مجموعات مختلفة اللي هو + +136 +00:12:25,260 --> 00:12:34,920 +الجين يمتلك مجموعات مختلفة جيناتيكية وبالتالي ال + +137 +00:12:34,920 --> 00:12:39,720 +product مختلف نهيوماDifferent alleles are given + +138 +00:12:39,720 --> 00:12:50,780 +number على سبيل المثال HLA-B15 و HLA-B27 طبعا هذه + +139 +00:12:50,780 --> 00:12:54,440 +الظاهرة بتسمى وجود of having multiple stable form + +140 +00:12:54,440 --> 00:12:59,500 +of one gene multiple stable form of one gene in + +141 +00:12:59,500 --> 00:12:59,940 +population + +142 +00:13:02,590 --> 00:13:06,410 +وهذا ما يشكل مجموعة الاماتشي بمجموعة الاماتشي + +143 +00:13:06,410 --> 00:13:15,610 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +144 +00:13:15,610 --> 00:13:18,430 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +145 +00:13:18,430 --> 00:13:21,350 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +146 +00:13:21,350 --> 00:13:23,130 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +147 +00:13:23,130 --> 00:13:26,530 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +148 +00:13:26,530 --> 00:13:31,890 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الامات + +149 +00:13:32,020 --> 00:13:40,720 +بخلّي هو من جعل ماشي two random individual express + +150 +00:13:40,720 --> 00:13:54,040 +different اللي هو gene the + +151 +00:13:54,040 --> 00:13:59,180 +extensive polymorphism of MHC gene makes it very + +152 +00:13:59,180 --> 00:14:04,600 +unlikely very unlikely يعني it's notيعني likely + +153 +00:14:04,600 --> 00:14:09,460 +found ما بيكون فيه تنين two different individual + +154 +00:14:09,460 --> 00:14:12,880 +two random different individual have the same or + +155 +00:14:12,880 --> 00:14:20,180 +identical set of MRC molecule ال polymorphism هي + +156 +00:14:20,180 --> 00:14:24,460 +ال basis of rapid graft rejection هي الأساس + +157 +00:14:24,460 --> 00:14:29,470 +between genetically different individualHow can be + +158 +00:14:29,470 --> 00:14:37,610 +expressed co-dominantly from both the material and + +159 +00:14:37,610 --> 00:14:38,950 +the paternal from both the material and the + +160 +00:14:38,950 --> 00:14:41,490 +paternal from both the material and the paternal + +161 +00:14:41,490 --> 00:14:43,830 +from both the material and the paternal from both + +162 +00:14:43,830 --> 00:14:44,390 +the material and the paternal from both the + +163 +00:14:44,390 --> 00:14:44,790 +material and the paternal from both the material + +164 +00:14:44,790 --> 00:14:47,210 +and the paternal from both the material and the + +165 +00:14:47,210 --> 00:14:49,490 +paternal from both the material and the paternal + +166 +00:14:56,650 --> 00:15:02,630 +كل جسم من أحد الناس يوصف إلى 6 أشخاص مختلفة HLA + +167 +00:15:02,630 --> 00:15:09,230 +Class 1 و3 مخصصة لـ HLA Class gene على كل كرموزون + +168 +00:15:09,230 --> 00:15:17,870 +وبالتالي الإنسان ممكن يوصف الاختلاف على سبيل + +169 +00:15:17,870 --> 00:15:25,010 +المثالة HLA A2 وA5 وB7 + +170 +00:15:26,500 --> 00:15:36,720 +و B13 و A C6 و C8 طبعا هذا زي ما انتوا شايفين في + +171 +00:15:36,720 --> 00:15:42,320 +عنا اتنين HLA A اتنين HLA B واحد maternal واحد + +172 +00:15:42,320 --> 00:15:47,280 +paternal و اتنين HLA C C هذا من ال class واحد طبعا + +173 +00:15:47,280 --> 00:15:51,520 +عنا ستة ل class واحد تلاتة من ال maternal و تلاتة + +174 +00:15:51,520 --> 00:15:57,400 +من ال maternal كمان في عنا ستة ل class twoماشي + +175 +00:15:57,400 --> 00:16:00,360 +تلاتة من ال maternal و تلاتة من ال paternal + +176 +00:16:00,360 --> 00:16:03,960 +another + +177 +00:16:03,960 --> 00:16:07,760 +person may express completely different HLA class + +178 +00:16:07,760 --> 00:16:12,380 +6 completely different HLA class 1 طبعا person + +179 +00:16:12,380 --> 00:16:16,960 +تاني ممكن يدينا حاجة تاني خالص some individual may + +180 +00:16:16,960 --> 00:16:20,040 +express fewer than 6 طبعا هذا الكلام بيصير لما + +181 +00:16:20,040 --> 00:16:23,920 +يكون تانين homozygous for a particular الهيلفة + +182 +00:16:23,920 --> 00:16:27,440 +بيدينا إيش عدد أقلبالنسبة للموزوم البرمجاني + +183 +00:16:27,440 --> 00:16:28,660 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +184 +00:16:28,660 --> 00:16:30,180 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +185 +00:16:30,180 --> 00:16:32,080 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +186 +00:16:32,080 --> 00:16:40,660 +البرمجاني البرمجاني + +187 +00:16:40,660 --> 00:16:41,180 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +188 +00:16:41,180 --> 00:16:49,700 +البرمجاني البرمجاني البرمجاني البرمجاني + +189 +00:16:49,700 --> 00:16:52,720 +البرمجاني + +190 +00:16:53,900 --> 00:17:03,180 +مثل Dp Alpha وDp Q وDq Beta يمكن ان يكونوا موجودين + +191 +00:17:03,180 --> 00:17:04,140 +او يمكن ان يكونوا موجودين او يمكن ان يكونوا + +192 +00:17:04,140 --> 00:17:04,980 +موجودين او يمكن ان يكونوا موجودين او يمكن ان + +193 +00:17:04,980 --> 00:17:06,400 +ان يكونوا موجودين او يمكن ان يكونوا موجودين او + +194 +00:17:06,400 --> 00:17:06,440 +يمكن ان يكونوا موجودين او يمكن ان يكونوا موجودين + +195 +00:17:06,440 --> 00:17:07,420 +موجودين او يمكن ان يكونوا موجودين او يمكن ان + +196 +00:17:07,420 --> 00:17:08,100 +يكونوا موجودين او يمكن ان يكونوا موجودين او يمكن + +197 +00:17:08,100 --> 00:17:12,600 +ان يكونوا موجودين او يمكن ان يكونوا موجودين او + +198 +00:17:12,600 --> 00:17:16,040 +يمكن ان يكونواهي مجموعة مختلفة من الجنية مثل DB + +199 +00:17:16,040 --> 00:17:21,640 +Alpha مع DB مع DQ Beta تنتين تتعامل مع بعض و + +200 +00:17:21,640 --> 00:17:22,380 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +201 +00:17:22,380 --> 00:17:24,360 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +202 +00:17:24,360 --> 00:17:24,800 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +203 +00:17:24,800 --> 00:17:25,220 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +204 +00:17:25,220 --> 00:17:26,860 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +205 +00:17:26,860 --> 00:17:29,780 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +206 +00:17:29,780 --> 00:17:37,180 +تتعامل مع بعض و تتعامل مع بعض و + +207 +00:17:37,180 --> 00:17:44,890 +تتعامل مع بعمشي and it's passed on as unit into + +208 +00:17:44,890 --> 00:17:52,230 +the offspring بتويرث ك unit فيش لخلف الصالح + +209 +00:17:52,230 --> 00:17:57,770 +actually haplotype of any offspring will differ + +210 +00:17:57,770 --> 00:18:00,850 +from the haplotype of parent طبيعي جدا ال + +211 +00:18:00,850 --> 00:18:04,870 +haplotype هو offspring يختلف عن أبوه لأنه ماخد من + +212 +00:18:04,870 --> 00:18:11,170 +أمه ومن أبوهMSC Identity You Can Monozygotic Twins + +213 +00:18:11,170 --> 00:18:15,410 +الـ Identical MSC مليكيوري بنشوفها in Monozygotic + +214 +00:18:15,410 --> 00:18:22,290 +Twins وطبعاً هذا ممكن يصير في أي عيلة it's + +215 +00:18:22,290 --> 00:18:26,030 +unlikely to find individual in general population + +216 +00:18:26,030 --> 00:18:31,530 +who are match at all HLA-Ls إمتيحانة نلاقي two + +217 +00:18:31,530 --> 00:18:39,780 +individualزي بعض ماشي الهم the same HLA الليل + +218 +00:18:39,780 --> 00:18:44,640 +Structural molecule طبعا شرحتلكوا إياها بس خلّينا + +219 +00:18:44,640 --> 00:18:49,520 +نسترجعه مرة تانية هي HMHC class I molecule gene + +220 +00:18:49,520 --> 00:18:53,220 +code for a transmembrane glycoprotein of + +221 +00:18:53,220 --> 00:18:56,060 +approximate molecular weight 43 kilo dalton + +222 +00:18:56,060 --> 00:19:03,380 +وبيسموها alpha or habit chainيعني تسمى كـ Alpha + +223 +00:19:03,380 --> 00:19:07,720 +مرهبة شيء وهو مجموعة من ثلاث مواقع إكتساسترالية + +224 +00:19:07,720 --> 00:19:11,700 +Alpha 1, Alpha 2 وAlpha 3 Beta 2 ميكرو بولابلين + +225 +00:19:11,700 --> 00:19:16,880 +مشاركة مقابلًا كما قلنا مع MSC Class I موليكيول + +226 +00:19:16,880 --> 00:19:24,140 +ومشاركة بمجلد كرمزوم أخر تمامًا مجلد جين على مجلد + +227 +00:19:24,140 --> 00:19:30,250 +كرمزوم أخر يشبه مواقع ميكرو بولابلينأنا مجلد من + +228 +00:19:30,250 --> 00:19:34,290 +عائلة الـ Superminoglobulin من عائلة الـ + +229 +00:19:34,290 --> 00:19:35,490 +Superminoglobulin من عائلة الـ Superminoglobulin + +230 +00:19:35,490 --> 00:19:39,170 +من عائلة الـ Superminoglobulin من عائلة الـ + +231 +00:19:39,170 --> 00:19:39,950 +Superminoglobulin من عائلة الـ Superminoglobulin + +232 +00:19:39,950 --> 00:19:40,290 +من عائلة الـ Superminoglobulin من عائلة الـ + +233 +00:19:40,290 --> 00:19:40,970 +Superminoglobulin من عائلة الـ Superminoglobulin + +234 +00:19:40,970 --> 00:19:41,130 +Superminoglobulin من عائلة الـ Superminoglobulin + +235 +00:19:41,130 --> 00:19:45,070 +Superminoglobulin من عائلة الـ Superminoglobulin + +236 +00:19:45,070 --> 00:19:49,290 +من عائلة الـ + +237 +00:19:49,290 --> 00:19:56,310 +Superminoglobulin من عائلة الـ Superminoglo + +238 +00:19:59,140 --> 00:20:02,680 +في Alpha 1 Alpha 2 الـ Variable Region وين موجودة؟ + +239 +00:20:02,680 --> 00:20:08,420 +في Alpha 1 Alpha 2 الـ Individual Class I Molecule + +240 +00:20:08,420 --> 00:20:14,120 +can be divided into non-polymorphic يعني or + +241 +00:20:14,120 --> 00:20:19,340 +invariant region which is similar in all Class I + +242 +00:20:19,340 --> 00:20:26,000 +allelic form طبيعي جدا متشابهةأو مستوى مستوى مستوى + +243 +00:20:26,000 --> 00:20:39,480 +مستوى مستوى مستوى مستوى مستوى مستوى + +244 +00:20:39,480 --> 00:20:44,900 +مستوى مستوى مستوى + +245 +00:20:47,900 --> 00:20:53,760 +والـ Variability بتحددها CD8 بيرتبط بالـ invariant + +246 +00:20:53,760 --> 00:20:57,280 +region يعني في ال constant region of a machine + +247 +00:20:57,280 --> 00:21:06,660 +class 1 ملكي CD8 Allelic specific pocket في عندنا + +248 +00:21:06,660 --> 00:21:11,740 +groove or pocket ماشي Determine which peptide + +249 +00:21:11,740 --> 00:21:16,800 +binds to a particular allelic formThis pocket also + +250 +00:21:16,800 --> 00:21:21,080 +helps secure the peptide بما أنها على شكل groove + +251 +00:21:21,080 --> 00:21:27,820 +or pocket هي بتحافظ على اللي هو وجود ال peptide + +252 +00:21:27,820 --> 00:21:37,200 +ماشي آمن في هذا الجيب أو ال pocket in position + +253 +00:21:37,200 --> 00:21:40,760 +which can be recognized by a specific TCA بيتثبت + +254 +00:21:40,760 --> 00:21:48,160 +بطريقة مثلية بحيث أنه تتعرف عليهالـTCR بسهولة ونمت + +255 +00:21:48,160 --> 00:21:51,320 +الـC موليكيول يتعامل مع عدد كبير من البيبتايد + +256 +00:21:51,320 --> 00:22:03,120 +طبيعي جدا ومع سيكوانات مختلفة استكشف + +257 +00:22:03,120 --> 00:22:09,160 +ونمت الـC2 موليكيول على نفس النمط ونمت الـC2 برضه + +258 +00:22:09,160 --> 00:22:12,160 +Alpha و Beta code for chain of approximate + +259 +00:22:12,160 --> 00:22:16,090 +molecular weightوهي مثل الـ Class I ، هم مجتمعين + +260 +00:22:16,090 --> 00:22:18,370 +متعاملين بالـ Glycogrutin ومجتمعين متعاملين بالـ + +261 +00:22:18,370 --> 00:22:19,690 +Cytoplasmic Tool ومجتمعين متعاملين بالـ + +262 +00:22:19,690 --> 00:22:24,310 +Extracellular Aminoglobulin ومجموعاتهم Alpha-1 + +263 +00:22:24,310 --> 00:22:28,230 +وAlpha-2 وBeta-1 وBeta-2 المجموعات MSC Class II هي + +264 +00:22:28,230 --> 00:22:30,530 +مجموعة من مجموعات الجنس المتعامل بالأمينoglobulin + +265 +00:22:30,530 --> 00:22:36,090 +ومجموعة MSC Class II هي مجموعة من المجموعات + +266 +00:22:36,090 --> 00:22:37,050 +المتعاملين بالأمينoglobulin ومجموعة MSC Class II + +267 +00:22:37,050 --> 00:22:37,570 +هي مجموعة من المجموعات المتعاملين بالأمينoglobulin + +268 +00:22:37,570 --> 00:22:41,890 +ومجموعة MSC Class II هي مجموعة من المجموعةالـ T + +269 +00:22:41,890 --> 00:22:46,370 +cell molecule CD4 يرتبط بالـ constant H بالـ + +270 +00:22:46,370 --> 00:22:49,970 +invariant portion يعني بالـ constant region of MHC + +271 +00:22:49,970 --> 00:22:57,830 +class 2 مليكيول الجروز هنا هو عبارة عن اللي هو + +272 +00:22:57,830 --> 00:23:03,590 +orcleft it's structurally analogous to the MHC + +273 +00:23:03,590 --> 00:23:09,380 +class 1 مليكيول لكن هناالكليفت بيكون أكبر .. open + +274 +00:23:09,380 --> 00:23:14,620 +وبالتالي بيستطيه انه يرتبط بحجم أكبر من ال بيبتايد + +275 +00:23:14,620 --> 00:23:21,320 +البروتين الأكساجينيين هم الانتجين هم أخذوه من جسد + +276 +00:23:21,320 --> 00:23:22,920 +البروتين الانتجينيين الابتسامات البروتين + +277 +00:23:22,920 --> 00:23:24,140 +الابتسامات البروتين الابتسامات البروتين الابتسامات + +278 +00:23:24,140 --> 00:23:27,580 +البروتين الابتسامات البروتين الابتسامات البروتين + +279 +00:23:27,580 --> 00:23:27,840 +الابتسامات البروتين الابتسامات البروتين الابتسامات + +280 +00:23:27,840 --> 00:23:28,020 +البروتين الابتسامات البروتين الابتسامات البروتين + +281 +00:23:28,020 --> 00:23:31,840 +الابتسامات البروتين الابتسامات البروتين الابتسامات + +282 +00:23:31,840 --> 00:23:36,540 +البروتهذه الرابطة اللي بيبتعد أو هذا ال complex + +283 +00:23:36,540 --> 00:23:43,020 +بيبتعد MSC class 2 complex بينتقل إلى cell surface + +284 +00:23:43,020 --> 00:23:50,160 +و هناك بيرتبط بيتقدم لل TCR و TCR بتعرف عليه و ال + +285 +00:23:50,160 --> 00:23:55,740 +exogenous بيتقدم لل CD4 T lymphocyte و CD4 أيضا + +286 +00:23:55,740 --> 00:24:02,830 +بترتبط فيههذا هو عملية الـ Antigen Processing and + +287 +00:24:02,830 --> 00:24:06,050 +Presentation الـ Processing هو عملية التشريف أو + +288 +00:24:06,050 --> 00:24:09,770 +التقطيع للـ Antigen والـ Presentation عملية تقديمه + +289 +00:24:09,770 --> 00:24:14,190 +لمين التليمفوسايتس أي Exogenous Antigen مثل الـ + +290 +00:24:14,190 --> 00:24:21,390 +Virus Protein أو في مجال مجال مجال مجال مجال مجال + +291 +00:24:21,390 --> 00:24:21,550 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +292 +00:24:21,550 --> 00:24:21,570 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +293 +00:24:21,570 --> 00:24:21,790 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +294 +00:24:21,790 --> 00:24:22,010 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +295 +00:24:22,010 --> 00:24:25,650 +مجال مجال مجال مجال مجال + +296 +00:24:27,520 --> 00:24:38,280 +ماشي ذهب بعد ذلك الى اللى هو ال mhc molecule او ال + +297 +00:24:38,280 --> 00:24:42,600 +endoplasmic reticulum ايه ذهب هنا ال endoplasmic + +298 +00:24:42,600 --> 00:24:53,520 +reticulum مرة ثانية هى الفيروس اتاخد و اتقطع و دخل + +299 +00:24:53,520 --> 00:25:00,490 +in ايه physical دخل in ايهوهي عبارة عن asidic + +300 +00:25:00,490 --> 00:25:07,410 +vesicle في مكان آخر في الخلية في ال endoplasmic + +301 +00:25:07,410 --> 00:25:12,070 +reticulum يتم تصنيع اللي هو الامة C class 2 في ال + +302 +00:25:12,070 --> 00:25:15,110 +endoplasmic reticulum ثم ينتقل إلى الجولجي أبراطوس + +303 +00:25:15,110 --> 00:25:23,350 +وينتقل مرتبط بأنتيجين اسمه CG474 + +304 +00:25:24,960 --> 00:25:34,100 +ماشى او 74 او بين جسين ال I طبعا بطلع من الجولجي + +305 +00:25:34,100 --> 00:25:41,120 +ابراطوس على ال cytosol و بطلع هنا vesicle و في + +306 +00:25:41,120 --> 00:25:48,620 +داخل ال vesicle هذا بيتقطع CD4074 و بيبقى لنا جزء + +307 +00:25:48,620 --> 00:25:53,040 +بسيط منه اسمه clip ماشى + +308 +00:25:55,350 --> 00:26:00,830 +هذا الجزء البسيط بطريقة مرتبطة لما تكون موليكيوه + +309 +00:26:00,830 --> 00:26:04,330 +انها physical طبعا في الـ cytosol حركة الخلية + +310 +00:26:04,330 --> 00:26:09,850 +الدائمة تجعل الـ two physical to be what؟ to be + +311 +00:26:09,850 --> 00:26:15,770 +fused together و يتكونوا ايه؟ انهم يصبحوا انها + +312 +00:26:15,770 --> 00:26:19,770 +physical واحدة لما تكون class two والانتجن يصبح + +313 +00:26:19,770 --> 00:26:22,970 +انها physicalطبعا في هذه الحالة بيصير في exchange + +314 +00:26:22,970 --> 00:26:26,650 +بين ال clip و ال antigen فبيجي ال antigen و بيقعد + +315 +00:26:26,650 --> 00:26:33,570 +محل ال clip و بيطلع ال MHC بعد هيك على سطح الخلية + +316 +00:26:33,570 --> 00:26:40,010 +مرتبط بيهش MHC class 2 molecule هذا ال pathway تبع + +317 +00:26:40,010 --> 00:26:40,690 +ال exogenous + +318 +00:26:43,610 --> 00:26:47,170 +أيو The response of CD4-T cell is referred to as + +319 +00:26:47,170 --> 00:26:50,570 +restricted by MHC class 2 molecule طبيعي جدا في + +320 +00:26:50,570 --> 00:26:54,930 +MHC restriction ما احنا قلنا في الـ T cell + +321 +00:26:54,930 --> 00:27:00,090 +activation شرحنا ان في لما تدخل تلينفوسايت الثايمس + +322 +00:27:00,090 --> 00:27:05,250 +و بتتطور في الثايمس تتعرض الى امتحانين امتحان + +323 +00:27:05,250 --> 00:27:11,410 +الأولان بتطلع منه شاطرة و بتعرف فقط + +324 +00:27:12,400 --> 00:27:18,280 +تتعامل مع الـ MHC اللي شافته يعني مستقبلا لم + +325 +00:27:18,280 --> 00:27:23,480 +تتعامل مع Foreign MHC molecule فقط هتتعرف على الـ + +326 +00:27:23,480 --> 00:27:31,940 +MHC اللي شافته فيه أثناء تعليمها وبالتالي سمينا + +327 +00:27:31,940 --> 00:27:38,760 +هذه الظاهرة MHC Restricted Phenomena أو + +328 +00:27:38,760 --> 00:27:43,280 +بيسموها Self MHC Class II Moleculeأما الـ + +329 +00:27:43,280 --> 00:27:45,260 +Exogenous Antigen يمكن أن يتم تجريبه من الـ + +330 +00:27:45,260 --> 00:27:49,760 +Pathogen مثل البكتيريا أو الفيروسات أو من البروتين + +331 +00:27:49,760 --> 00:27:55,000 +الخارجي مثل الـ S-Vaccine التي لا تؤذي المستخدم بل + +332 +00:27:55,000 --> 00:28:01,700 +تفعيل تجارب الإيميون طبعا شفنا هذا في الفيجور 8.5 + +333 +00:28:01,700 --> 00:28:06,760 +يظهر التجارب ومعرفة تجارب الـ Exogenous Antigen + +334 +00:28:06,760 --> 00:28:12,690 +بشكل طبيعي بروتين انجكتكمبونات من الفيروس + +335 +00:28:12,690 --> 00:28:17,950 +الانكتروني او الانكتروني الفيروس البروتين مدخل + +336 +00:28:17,950 --> 00:28:23,230 +بشكل فيزيكي انترالي يدخل في شكل فيزيكي انترالي + +337 +00:28:23,230 --> 00:28:25,810 +يدخل في شكل فيزيكي انترالي يدخل في شكل فيزيكي + +338 +00:28:25,810 --> 00:28:25,830 +انترالي يدخل في شكل فيزيكي انترالي يدخل في شكل + +339 +00:28:25,830 --> 00:28:28,790 +فيزيكي انترالي يدخل في شكل فيزيكي انترالي يدخل في + +340 +00:28:28,790 --> 00:28:30,390 +شكل فيزيكي انترالي يدخل في شكل فيزيكي انترالي يدخل + +341 +00:28:30,390 --> 00:28:34,630 +في شكل فيزيكي انترالي يدخل في شكل فيزيكي انترالي + +342 +00:28:34,630 --> 00:28:39,050 +يدخلThis physical تحتوي على مجموعة من + +343 +00:28:39,050 --> 00:28:42,350 +البروتيولاتيك انزاين البروتيهيزي نوز أثكا ثابسين + +344 +00:28:42,350 --> 00:28:45,710 +ووظيفتها + +345 +00:28:45,710 --> 00:28:49,970 +انها تقلل البياتشت وبالتالي بيصير في عملية تقطيع + +346 +00:28:49,970 --> 00:28:59,030 +ايضا للبروتين into بيبتايت بعد هي كلامات class II + +347 +00:28:59,030 --> 00:29:03,130 +موليكيول Alpha Beta اللي بتصنع individually في ال + +348 +00:29:03,130 --> 00:29:10,100 +endoplasmic reticulumCD74 مرتبط مع CD4T74 انفرادات + +349 +00:29:10,100 --> 00:29:14,100 +انفرادات انفرادات انفرادات انفرادات انفرادات + +350 +00:29:14,100 --> 00:29:18,900 +انفرادات انفرادات انفرادات انفرادات انفرادات + +351 +00:29:18,900 --> 00:29:19,720 +انفرادات انفرادات انفرادات انفرادات انفرادات + +352 +00:29:19,720 --> 00:29:19,840 +انفرادات انفرادات انفرادات انفرادات انفرادات + +353 +00:29:19,840 --> 00:29:24,480 +انفرادات انفرادات انفرادات انفرادات انفرادات + +354 +00:29:24,480 --> 00:29:31,260 +انفرادات انفر + +355 +00:29:34,400 --> 00:29:38,640 +وبالتالي الـ MSC تترك اندولازميكستيكولان لجهاز + +356 +00:29:38,640 --> 00:29:42,880 +البراتوز الجالجي ومن هنا تتعامل بالطريقة + +357 +00:29:42,880 --> 00:29:48,520 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +358 +00:29:48,520 --> 00:29:49,940 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +359 +00:29:49,940 --> 00:29:50,860 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +360 +00:29:50,860 --> 00:29:51,960 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +361 +00:29:51,960 --> 00:29:53,740 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +362 +00:29:53,740 --> 00:29:57,580 +الاندوستيكية + +363 +00:29:57,580 --> 00:30:01,380 +الاندوستيكية الاسودية تتعامل بالطريقة + +364 +00:30:04,620 --> 00:30:10,620 +بتتم على مراحل تتكسّر، تترك الفرق المعروف كـ Clp + +365 +00:30:10,620 --> 00:30:15,240 +Clp إختصار لـ Class II associated invariant + +366 +00:30:15,240 --> 00:30:20,240 +polypeptide Clp إختصار لـ Class II associated + +367 +00:30:20,240 --> 00:30:25,400 +invariant polypeptide ترتبط بالـ MSC Class II + +368 +00:30:25,400 --> 00:30:29,140 +group للـ physical containing MSC Class II + +369 +00:30:29,140 --> 00:30:34,000 +molecule bound to Clpبعد ذلك بيصل لها fusion with + +370 +00:30:34,000 --> 00:30:36,760 +the acid vesicle اللي بتحتوي على الانتيجن أو الـ + +371 +00:30:36,760 --> 00:30:39,640 +peptide-derived from the catabolism of exogenous + +372 +00:30:39,640 --> 00:30:46,120 +antigen وفي هذا المكان موليكيول non-HLADM بيعمل + +373 +00:30:46,120 --> 00:30:52,680 +عملية catalysis للـ peptide و exchange و exchange + +374 +00:30:52,680 --> 00:30:57,840 +يعني بيشيل اللي هو ال clip و بيحط منه الـ + +375 +00:30:57,840 --> 00:31:01,840 +antigenic peptideاللي جاية من الـ Exogenous + +376 +00:31:01,840 --> 00:31:07,220 +Antigen. الـ Endogenous Protein, generally derived + +377 +00:31:07,220 --> 00:31:11,220 +from infectious pathogen, come from within cells + +378 +00:31:11,220 --> 00:31:14,640 +and are processed to peptide inside the cell، وهنا + +379 +00:31:14,640 --> 00:31:17,680 +جيت، هنشوف الميكانيزم، peptide derived from this + +380 +00:31:17,680 --> 00:31:21,640 +protein interact with MSC Class I molecule. يعني + +381 +00:31:21,640 --> 00:31:26,210 +الـ Endogenous A Proteinاللي بيتولد في داخل + +382 +00:31:26,210 --> 00:31:32,530 +الخلية، بتقطيعه، ثم بيدخل في الـ cytosol، ثم بيدخل + +383 +00:31:32,530 --> 00:31:36,890 +إلى الـ endoplasmic reticulum اللي بيصنع النمين + +384 +00:31:36,890 --> 00:31:39,650 +لما تشي Clash 1 موليكيوم، و هناك بيرتبط فيه + +385 +00:31:39,650 --> 00:31:45,330 +المشروط. وده هي الحكاية. أيوة، فيروس + +386 +00:31:53,960 --> 00:31:59,420 +ماشي دخل صار فى synthesis of viral protein فصار فى + +387 +00:31:59,420 --> 00:32:06,040 +أن ال protein تكون طبعا بيتلقفوا بروتيوزوم و + +388 +00:32:06,040 --> 00:32:10,320 +البروتيوزوم بيشكفوا إلى قطع صغيرة من 8 إلى 15 + +389 +00:32:10,320 --> 00:32:16,760 +amino acids طبعا بعد هيك بيدخل ال antigen أو ال + +390 +00:32:16,760 --> 00:32:20,680 +antigenic peptide إلى ال endoplasmic reticulumفي + +391 +00:32:20,680 --> 00:32:23,700 +الـ Endoplasmic reticulum ده يتم تصنيع لـ MSC + +392 +00:32:23,700 --> 00:32:28,660 +Class I ماشي و الـ Beta 2-Microglobulin بعد هيك + +393 +00:32:28,660 --> 00:32:33,740 +بتصنع لـ MSC Class I بعد هيك بيرتبط مباشرة بالـ + +394 +00:32:33,740 --> 00:32:37,000 +Antigenic peptide بعد هيك بيطلع على الجلجي أبراطس + +395 +00:32:37,000 --> 00:32:40,420 +و بالجلجي أبراطس على ال cell surface membrane + +396 +00:32:40,420 --> 00:32:45,800 +مرتبط مين؟ بال MSC Class I الملكي اللي بتقدم لمين؟ + +397 +00:32:45,800 --> 00:32:46,720 +لـ CD8 + +398 +00:32:50,850 --> 00:32:54,330 +المبتعد MSC Class I Complex is transported to the + +399 +00:32:54,330 --> 00:32:58,050 +cell surface نفس الحق اللي توشر أحتوى ده هو Where + +400 +00:32:58,050 --> 00:33:01,270 +it interacts with the T lymphocyte receptor اللي + +401 +00:33:01,270 --> 00:33:05,910 +على سطحها CD8 The response of CD8 positive T cell + +402 +00:33:05,910 --> 00:33:09,730 +is referred to as restricted by MSC Class I + +403 +00:33:09,730 --> 00:33:13,690 +molecule أما يسمى بالسلف MSC Class I molecule + +404 +00:33:15,440 --> 00:33:18,760 +الخليمات الـ MHC Class-I موجودة في جميع جسم + +405 +00:33:18,760 --> 00:33:22,820 +النوكليات الاندوجيني + +406 +00:33:22,820 --> 00:33:28,290 +يمكن أن تحدث في أي خليم من خلايا جسم الإنسانبسبب + +407 +00:33:28,290 --> 00:33:33,230 +أن البيتوجين يمكن أن يشبه أي سلب في الجسم CD8 T + +408 +00:33:33,230 --> 00:33:40,150 +-cell can-scan يعني لما تتجول أومينج فنومينا تبحث + +409 +00:33:40,150 --> 00:33:44,490 +عن امات C Class I موليكيول Peptide and Peptide + +410 +00:33:44,490 --> 00:33:50,310 +combination طبعا موجودين على اي نيكلياتد سل و هناك + +411 +00:33:50,310 --> 00:33:58,350 +بتعرف عليهم و ممكن يصير ايش ارتباطعن طريق الـ 9.1 + +412 +00:33:58,350 --> 00:34:02,050 +في الـ comparison بين لما الـ C class 1 و2 هرجتها + +413 +00:34:02,050 --> 00:34:06,330 +نشوفه proteins from bacteria, virus, allergen, or + +414 +00:34:06,330 --> 00:34:12,590 +harmless antigen may يقدموا ل CD4-T lymphocytes + +415 +00:34:12,590 --> 00:34:18,310 +بينما pathogen infected cell زي بكتيريا الفيروس + +416 +00:34:18,310 --> 00:34:23,800 +create Epitopes في الداخلهابالنسبة لـ CD8-T + +417 +00:34:23,800 --> 00:34:26,480 +-Lymphocyte برنامج الوصول إلى CD8-T-Lymphocyte + +418 +00:34:26,480 --> 00:34:27,000 +برنامج الوصول إلى CD8-T-Lymphocyte برنامج الوصول + +419 +00:34:27,000 --> 00:34:29,120 +إلى CD8-T-Lymphocyte برنامج الوصول إلى CD8-T + +420 +00:34:29,120 --> 00:34:29,860 +-Lymphocyte برنامج الوصول إلى CD8-T-Lymphocyte + +421 +00:34:29,860 --> 00:34:31,320 +برنامج الوصول إلى CD8-T-Lymphocyte برنامج الوصول + +422 +00:34:31,320 --> 00:34:32,600 +إلى CD8-T-Lymphocyte برنامج الوصول إلى CD8-T + +423 +00:34:32,600 --> 00:34:35,500 +-Lymphocyte برنامج الوصول إلى CD8-T-Lymphocyte + +424 +00:34:35,500 --> 00:34:41,300 +برنامج الوصول إلى CD8-T-Lymphocyte برنامج الوصول + +425 +00:34:41,300 --> 00:34:49,480 +إلى CD8-T-Lymphocy + +426 +00:34:51,330 --> 00:34:54,630 +إن الـ Antigen اتقدم لـ CD4 أو CD8 هو طبيعة الـ + +427 +00:34:54,630 --> 00:34:59,050 +Antigen إذا كان Indigenous أو Exogenous طبعا بعض + +428 +00:34:59,050 --> 00:35:02,330 +المرات بيحصل في cross-presentation pathway cross + +429 +00:35:02,330 --> 00:35:05,390 +-presentation يعني يعني بيكون Exogenous الـ + +430 +00:35:05,390 --> 00:35:09,450 +Antigen اتقدم لمين؟ لـ CD8 اتبط ب class I موليكيل + +431 +00:35:09,450 --> 00:35:13,290 +و اتقدم لمين؟ لـ CD8 و بيسمو هذه الظاهرة cross + +432 +00:35:13,290 --> 00:35:18,590 +-presentation pathway Super Antigen هي عبارة عن + +433 +00:35:18,590 --> 00:35:23,370 +أنتجنات كبيرةنص دي ايه بره انتكسن و احسن مثال + +434 +00:35:23,370 --> 00:35:27,990 +الهستافورياس انتيلوتوكسن بيرتبط بال MSC class 2 + +435 +00:35:27,990 --> 00:35:32,630 +موليكيول بدون ما يصير له processing و ال super + +436 +00:35:32,630 --> 00:35:37,050 +antigen بيرتبط من برا لبرا بال ash بال MSC class 2 + +437 +00:35:37,050 --> 00:35:45,310 +موليكيول و بالتالي بربط ال MSC مع ال TCR من برا + +438 +00:35:45,310 --> 00:35:49,110 +لبرا ماشي + +439 +00:35:50,780 --> 00:35:53,820 +بتبط من خلال الـ Grom ومن خلال الـ VB Variable + +440 +00:35:53,820 --> 00:35:59,000 +Beta Region of TCR Superantigen يوم ما يكون فيه + +441 +00:35:59,000 --> 00:36:02,400 +Superantigen بنشط حوالي عشرة فلمية من ال total + +442 +00:36:02,400 --> 00:36:06,840 +number of air individual T-lymphocyte وده بيؤدي + +443 +00:36:06,840 --> 00:36:10,860 +لapoptosis وكميات كبيرة لما يصير shutting down لل + +444 +00:36:10,860 --> 00:36:14,610 +immune responseactivation of manatee cell have + +445 +00:36:14,610 --> 00:36:19,050 +clinical consequences هذا الموضوع مش سهل وبالتالي + +446 +00:36:19,050 --> 00:36:23,010 +من its side effect بتبعته هو انه مسئول على shock + +447 +00:36:23,010 --> 00:36:28,770 +like syndrome وبعمل toxic shock عند أيش؟ عند + +448 +00:36:28,770 --> 00:36:35,590 +المريض inability to respond to an antigen ليش بعض + +449 +00:36:35,590 --> 00:36:41,610 +المرات بيكون في أيش؟بيكون اللي هو عدم القدرة for a + +450 +00:36:41,610 --> 00:36:45,630 +response for a new response to respond against + +451 +00:36:45,630 --> 00:36:52,890 +antigen وببساطة افسركم او اجملكم هذه ال slide يوم + +452 +00:36:52,890 --> 00:37:02,770 +ال MC ملكيوليكم مرتبط ب self-antigen اللي + +453 +00:37:02,770 --> 00:37:06,960 +لو اتقدم ل T lymphocyteالـ T-Lymphocyte لا تتنشط + +454 +00:37:06,960 --> 00:37:09,840 +والسبب في ذلك انه ما بيصير فيه expression + +455 +00:37:09,840 --> 00:37:14,880 +لcostimulator احنا بنعرف انه بيكون فيه عشان تتنشط + +456 +00:37:14,880 --> 00:37:18,280 +الـ T-Lymphocyte بيحتوه signal واحدة اللي هو + +457 +00:37:18,280 --> 00:37:22,780 +الأرتباط والتانية formation of costimulation مافيش + +458 +00:37:22,780 --> 00:37:25,940 +costimulation معناته في energized cell معناته + +459 +00:37:25,940 --> 00:37:32,230 +الخلية لا تتنشط لا تتنشطلكن إذا كان الخلية أو الـ + +460 +00:37:32,230 --> 00:37:38,110 +MSC مرتبطة بفرن أنتجين بيتكوّن عادةً الـ Co + +461 +00:37:38,110 --> 00:37:44,270 +-Stimulation Signal وبالتالي بيحصل فيه Response + +462 +00:37:44,270 --> 00:37:47,610 +Exposure + +463 +00:37:47,610 --> 00:37:51,050 +to فرن أنتجين دوة Induced Tissue Damage والـ + +464 +00:37:51,050 --> 00:37:56,290 +Tissue Damage بيسموها Danger Hypothesis and the + +465 +00:37:56,290 --> 00:38:02,230 +Danger Signal Activate T Cellهذه نظرية تشرح لماذا + +466 +00:38:02,230 --> 00:38:07,650 +تلينفوسايت تتفاعل مع أنتجين غير مجرد موليكيوليات + +467 +00:38:07,650 --> 00:38:14,450 +نفسها يعني أن جوسين تتكوّن في حيبوتسيس خطر تتولد + +468 +00:38:14,450 --> 00:38:19,630 +إشعار خطر وسببها أن هناك تسيو دامج هناك إشعار تسيو + +469 +00:38:19,630 --> 00:38:23,810 +دامج طبعا في هذا الحالة يحدث كوستيميليشن ورسبونتيك + +470 +00:38:31,270 --> 00:38:37,950 +لأن بعض أنواع الـ T-lymphocyte كانت موجودة على + +471 +00:38:37,950 --> 00:38:41,510 +كل الـ cell wall أو الـ pathogen مثل الـ + +472 +00:38:41,510 --> 00:38:45,430 +Mycobacterium tuberculosis اللي متعيش في داخل الـ + +473 +00:38:45,430 --> 00:38:51,850 +macrophage هذه الموليكيوه مواجهة بـ CD1 اللي عبارة + +474 +00:38:51,850 --> 00:38:56,970 +عن CD1A وCD1D وهذا بصير طبعا expressed by antigen + +475 +00:38:56,970 --> 00:38:59,190 +presenting cell مثل الـ macrophage و الـ dendritic + +476 +00:38:59,190 --> 00:38:59,470 +cell + +477 +00:39:03,530 --> 00:39:07,270 +CD1 موليكيول موجودة على الـ Cell Surface of + +478 +00:39:07,270 --> 00:39:07,330 +Antigen-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +479 +00:39:07,330 --> 00:39:11,370 +-Microviral.موجودة على الـ Cell Surface of Antigen + +480 +00:39:11,370 --> 00:39:14,170 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +481 +00:39:14,170 --> 00:39:17,330 +-Microviral.موجودة على الـ Cell Surface of Antigen + +482 +00:39:17,330 --> 00:39:17,550 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +483 +00:39:17,550 --> 00:39:20,430 +-Microviral.موجودة على الـ Cell Surface of Antigen + +484 +00:39:20,430 --> 00:39:25,410 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +485 +00:39:25,410 --> 00:39:28,110 +-Microviral.موجودة على الـ Cell Surface of Antigen + +486 +00:39:28,110 --> 00:39:29,410 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +487 +00:39:29,410 --> 00:39:32,750 +-Microviral.موجودة على الـ Cell Surface of Antigen + +488 +00:39:32,750 --> 00:39:35,870 +-Presenting Cell أيضًا مرتبطةطبعاً الـ poorer + +489 +00:39:35,870 --> 00:39:46,610 +region of lipid بترتبط بالـ TCR التباطء الـ lipid + +490 +00:39:46,610 --> 00:39:51,250 +antigen to CD1 is believed to take a place in + +491 +00:39:51,250 --> 00:39:54,730 +acidic cellular compartment زي ما بيحصل في loading + +492 +00:39:54,730 --> 00:39:59,230 +للـ exogenous peptide with MSC class II molecule + +493 +00:40:00,700 --> 00:40:09,160 +CD1A, B, and C present limit to T cell that use an + +494 +00:40:09,160 --> 00:40:17,220 +alpha beta TCR لكن CD1D يعني A وB وC بيقدموا تلك + +495 +00:40:17,220 --> 00:40:21,760 +ال TCR لكن CD1D present limit and like of limit to + +496 +00:40:21,760 --> 00:40:24,300 +NK T cell + +497 +00:40:29,220 --> 00:40:33,980 +طبعا هي TCR هى + +498 +00:40:33,980 --> 00:40:39,240 +ال non polar في الداخل و ال polar برا طبعا ال non + +499 +00:40:39,240 --> 00:40:46,560 +polar هي تقدم لمين؟ ل ال CD1 طبعا زى ما انتوا + +500 +00:40:46,560 --> 00:40:49,620 +شايفين resembling مين؟ resembling اللى هو class + +501 +00:40:49,620 --> 00:40:53,840 +one molecule مرتبطة ب beta 2 microglobulin و ال + +502 +00:40:53,840 --> 00:41:07,690 +polar بيكون باتجاه ايش؟باتجاه MHC Class 2 CD1 + +503 +00:41:07,690 --> 00:41:16,370 +هو Class 1 و Polar بتجاه TCR TCR + +504 +00:41:16,370 --> 00:41:22,310 +Alpha Beta Super Antigen من برا لورا بشبك MHC + +505 +00:41:22,310 --> 00:41:27,640 +Moleculeوهذه الـ Comparison بين MSC Class I وClass + +506 +00:41:27,640 --> 00:41:35,640 +II وطبعا كل النقاط اللي احنا حكينا فيها و MSC and + +507 +00:41:35,640 --> 00:41:40,700 +immune response طبعا هنا احنا الكلام اللي حكيناه + +508 +00:41:40,700 --> 00:41:43,900 +بس خلينا نعيده مرة تانية نعرف ان ال MSC molecule + +509 +00:41:43,900 --> 00:41:47,380 +play a critical role in response of T lymphocytes + +510 +00:41:47,380 --> 00:41:56,120 +في داخل ال human body طبعا برتبط ببيبتاعد من + +511 +00:41:56,120 --> 00:42:01,140 +البروتين وبيقدم هذا ال بيبتاعد لل تي لينفوسايتس + +512 +00:42:01,140 --> 00:42:04,160 +without preparate receptor وبالتالي ال T cell + +513 +00:42:04,160 --> 00:42:09,240 +response are said to be MSC restricted MSC + +514 +00:42:09,240 --> 00:42:20,240 +restricted فنومينا هي مرة تانية هي ان ال ال ال TCR + +515 +00:42:20,240 --> 00:42:22,600 +TCR + +516 +00:42:23,360 --> 00:42:30,400 +لما يجي يرتبط بالانتيجم لن يرتبط إلا من خلال ال + +517 +00:42:30,400 --> 00:42:35,860 +self MHC molecule MHC code for two majors category + +518 +00:42:35,860 --> 00:42:43,700 +class 1 و class 2على كل الخلايا بينما كلاس تنين + +519 +00:42:43,700 --> 00:42:47,560 +موجودين على ال antigen presenting cell expression + +520 +00:42:47,560 --> 00:42:51,180 +of MSC molecule is inducible لبعض ال cytokine + +521 +00:42:51,180 --> 00:42:56,520 +بتطلعه لانفكشوز agents ممكن يزود الاتعام ال + +522 +00:42:56,520 --> 00:43:02,580 +upregulation له كل individualبإمكانها أن تتعامل مع + +523 +00:43:02,580 --> 00:43:04,280 +مجموعات مختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +524 +00:43:04,280 --> 00:43:07,220 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +525 +00:43:07,220 --> 00:43:12,960 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +526 +00:43:12,960 --> 00:43:16,340 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +527 +00:43:16,340 --> 00:43:16,360 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +528 +00:43:16,360 --> 00:43:20,100 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +529 +00:43:20,100 --> 00:43:27,420 +ومخت + +530 +00:43:28,540 --> 00:43:31,480 +من خلال واحد من الانسان الـ MSC class 1 و class 2 + +531 +00:43:31,480 --> 00:43:39,620 +موليكيولو يتعرفون على كل جسم من الجسم و يتعرفون + +532 +00:43:39,620 --> 00:43:41,580 +على كل جسم من الجسم و يتعرفون على كل جسم من الجسم + +533 +00:43:41,580 --> 00:43:45,600 +و يتعرفون على كل جسم من الجسم و يتعرفون على كل جسم + +534 +00:43:45,600 --> 00:43:45,920 +من الجسم و يتعرفون على كل جسم من الجسم و يتعرفون + +535 +00:43:45,920 --> 00:43:46,500 +و يتعرفون على كل جسم من الجسم و يتعرفون على كل جسم + +536 +00:43:46,500 --> 00:43:54,300 +من الجسم و + +537 +00:43:54,300 --> 00:43:57,350 +يهي عبارة عن الـ variable فيها الـ deep groove و + +538 +00:43:57,350 --> 00:44:02,410 +اللي برتبط بالـ peptide ماشي بعد مسلو processing + +539 +00:44:02,410 --> 00:44:05,830 +ال binding of peptide to MSC molecule is selective + +540 +00:44:05,830 --> 00:44:10,070 +each MSC molecule برتبط بـ with a distinct subset + +541 +00:44:10,070 --> 00:44:15,190 +of peptide with a particular motif طبيعي جدا حسب + +542 +00:44:15,190 --> 00:44:19,330 +إيش قسمنا الانتجنات إلى اندوجنس و إكسوجنس هايوا + +543 +00:44:19,330 --> 00:44:26,660 +الإكسوجنس انتجنيتم إتباعها بـ 2 بيبتايدات في مخزن + +544 +00:44:26,660 --> 00:44:32,380 +الأسود اللي بيطبط بال MSC Class II موليكيول ثم MSC + +545 +00:44:32,380 --> 00:44:36,060 +Class II موليكيول بيبتايد كومبليكس بينتقل على + +546 +00:44:36,060 --> 00:44:41,520 +surface of the cell و بتقدم لها TCR of CD4 T cell + +547 +00:44:42,950 --> 00:44:45,830 +فهو بيصير في responding من ال TCR و بيسموه + +548 +00:44:45,830 --> 00:44:50,350 +response هو عبارة عن restricted by MSC class 2 + +549 +00:44:50,350 --> 00:44:54,990 +موليكيول أو self MSC class 2 موليكيول و الحاجة + +550 +00:44:54,990 --> 00:44:59,590 +التانية قولنا endogenous protein generally derived + +551 +00:44:59,590 --> 00:45:06,290 +from infectious pathogen و طبعا بيسله بيتكوم في + +552 +00:45:06,290 --> 00:45:11,570 +اللي هو في + +553 +00:45:11,570 --> 00:45:12,290 +ال cytosol + +554 +00:45:15,100 --> 00:45:17,780 +هو يبقى الـ peptide derived from this protein + +555 +00:45:17,780 --> 00:45:20,780 +interact with MHC class 1 molecule وبيطلع بعد ذلك + +556 +00:45:20,780 --> 00:45:27,000 +ال MHC class 1 peptide complex على سطح القلية اللي + +557 +00:45:27,000 --> 00:45:32,580 +بتقدم بعد ذلك ل CD8D-lymphocytes وهي برضه هذه + +558 +00:45:32,580 --> 00:45:39,600 +العملية بيسموها self MHC class 1 molecule since + +559 +00:45:39,600 --> 00:45:42,530 +protein are general structural complexيستخدمونه + +560 +00:45:42,530 --> 00:45:45,550 +لإيجار أقل واحدة بيبتايل قادرة على مجموعة MSC + +561 +00:45:45,550 --> 00:45:51,050 +Class I موليكيوم وهذا بيأكد على أن الـ T cell + +562 +00:45:51,050 --> 00:45:54,890 +response is made to at least some part of a + +563 +00:45:54,890 --> 00:46:00,290 +foreign proantigen لأنه لا يستطيع أن يعيش أن مرتبط + +564 +00:46:00,290 --> 00:46:05,810 +البروتين هو عبارة عن موليكيوم Complex + +565 +00:46:09,710 --> 00:46:15,630 +هو بتطلع لنا بيبتايد ترتبط بال MSC موليكيول وهذا + +566 +00:46:15,630 --> 00:46:20,650 +بيأكد على انه التفاعل بوادث MSC مع foreign antigen + +567 +00:46:20,650 --> 00:46:25,430 +ايه طبعا ان البيبتايد اللي طالعة من ال self + +568 +00:46:25,430 --> 00:46:33,730 +-antigen ايضا ترتبط بالMSC موليكيول زي ال foreign + +569 +00:46:33,730 --> 00:46:38,670 +antigen لكن ال complexأو اما السيلف الملكولي مع + +570 +00:46:38,670 --> 00:46:42,570 +السيلف الابطالي لا يدفع طبق طبيعي تفعيل تفعيل T + +571 +00:46:42,570 --> 00:46:46,250 +cell response لأن السيلف الملكولي لا يدفع طبق + +572 +00:46:46,250 --> 00:46:50,810 +طبيعي كوستيميلاتري او اتصال ثانوي لكي يدفع طبق + +573 +00:46:50,810 --> 00:46:53,770 +طبيعي تفعيل تفعيل T cell response ال T cell + +574 +00:46:53,770 --> 00:46:57,350 +response is focused on the response of foreign فقط + +575 +00:46:57,350 --> 00:47:01,150 +non self particularly component of microorganism + +576 +00:47:01,840 --> 00:47:04,740 +وهذا هو اللي بيعمل initiation أو induction + +577 +00:47:04,740 --> 00:47:08,460 +للcostimulator Susceptibility and resistance to + +578 +00:47:08,460 --> 00:47:12,640 +many diseases in humans and other species are + +579 +00:47:12,640 --> 00:47:14,700 +associated with the expression of a particular + +580 +00:47:14,700 --> 00:47:19,540 +MSGLD وجدوا ان هلأ اللي لاتهادي إليها علاقة مباشرة + +581 +00:47:19,540 --> 00:47:26,240 +ب certain diseases و بترتبط ارتباط مباشر بهذه + +582 +00:47:26,240 --> 00:47:29,480 +الأمراض cytokine synthesis is a response to an + +583 +00:47:29,480 --> 00:47:34,110 +infectious agentطبعاً certain cytokines induce + +584 +00:47:34,110 --> 00:47:36,430 +their expression or regulate their expression + +585 +00:47:36,430 --> 00:47:39,890 +وعملت C Class I المولكول وانا اعمل C Class II + +586 +00:47:39,890 --> 00:47:43,390 +المولكول طبعاً هذا بيعمل enhancement ليوم ما يزيد + +587 +00:47:43,390 --> 00:47:48,430 +ال title وعمل C Class I و2 على سطح الخلية بيؤدي + +588 +00:47:48,430 --> 00:47:51,690 +الى enhancement of immune response to pathogen + +589 +00:47:53,680 --> 00:47:57,460 +بالعكس من بعض الفيروس مثل الـ Herpes Simplex مثل + +590 +00:47:57,460 --> 00:48:01,080 +الـ Adenovirus مثل الـ Cytomycalovirus بعض الأحيان + +591 +00:48:01,080 --> 00:48:08,120 +تشتغل بروتين تتعامل بالتجارب الاندوجنس الانتجينية + +592 +00:48:08,120 --> 00:48:12,220 +ماذا تفعل في هذه الحالة؟ تفعل انهيبشن مثل الويرس + +593 +00:48:12,220 --> 00:48:16,040 +طلع بروتين يشبه الانتجن ماشي الاندوجنس الانتجن + +594 +00:48:16,040 --> 00:48:20,460 +معناته هيمسك في الـ air في الأمسي مليكيول وبالتالي + +595 +00:48:20,460 --> 00:48:25,380 +هيعمل shutdown عشانللـ immune response يعني + +596 +00:48:25,380 --> 00:48:32,860 +بيكوسين ينافس ال antigen في الارتباط بال MHC + +597 +00:48:32,860 --> 00:48:37,220 +موليكيول وطبعا في هذا الحالة هذا أحد الميكنزمات + +598 +00:48:37,220 --> 00:48:40,360 +اللي ال virus can decrease the expression of MHC + +599 +00:48:40,360 --> 00:48:44,420 +class 1 molecule and so decrease the CD8 T cell + +600 +00:48:44,420 --> 00:48:49,690 +response to that virus tumor cellأيضًا frequently + +601 +00:48:49,690 --> 00:48:52,210 +shown decrease in expression of MSC Class I ممكن + +602 +00:48:52,210 --> 00:48:58,130 +على سطحها في قلة في MSC Class I Titer مقارنة من + +603 +00:48:58,130 --> 00:49:04,770 +Normal Cell وده بيخرّمش ال potentiality of CD8 T + +604 +00:49:04,770 --> 00:49:09,710 +Cell Response although the decrease in MSC Class I + +605 +00:49:09,710 --> 00:49:14,550 +expression decreased CD8 T Cell Response it may + +606 +00:49:14,550 --> 00:49:19,510 +also act as a trigger of NKيعني إذا ما اشتغلت الـ + +607 +00:49:19,510 --> 00:49:25,070 +cytotoxic T lymphocyte كمان هذا ممكن ينشطلنا الـ + +608 +00:49:25,070 --> 00:49:29,310 +NKT cell لأن زي ما شفنا يوم ما يكون الـ NKT cell + +609 +00:49:29,310 --> 00:49:33,970 +أو الـ response is regulated by the titer of MSC + +610 +00:49:33,970 --> 00:49:37,370 +molecule ففي ال clinical cell و ال virus infected + +611 +00:49:37,370 --> 00:49:40,330 +cell لما بيقلل ال titer of MSC molecule it will be + +612 +00:49:40,330 --> 00:49:45,980 +recognized by mean by NK cellالـ Cross + +613 +00:49:45,980 --> 00:49:49,600 +-presentation هو إنها أكسوجينوس أنتجين ممكن يسموه + +614 +00:49:49,600 --> 00:49:53,340 +expression أو يرتبط presented by MIC class I + +615 +00:49:53,340 --> 00:49:57,020 +موليكيوم الانتجين presenting cell particularly + +616 +00:49:57,020 --> 00:50:01,260 +الـdendritic cell لديه طريقة مميزة يسمونها cross + +617 +00:50:01,260 --> 00:50:05,120 +-presentation لإنشاء بيبتايد من بيبتايد أكسوجينوس + +618 +00:50:05,120 --> 00:50:12,280 +بروتيم وهو بيتقدم لـ CD8-T-lymphocyte هذا الطريقة + +619 +00:50:12,280 --> 00:50:20,710 +مهمة لإنشاء CD8-T-cellللتجارب بشكل عام بشكل عام + +620 +00:50:20,710 --> 00:50:23,830 +بشكل + +621 +00:50:23,830 --> 00:50:28,490 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +622 +00:50:28,490 --> 00:50:32,270 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +623 +00:50:32,270 --> 00:50:32,350 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +624 +00:50:32,350 --> 00:50:33,330 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +625 +00:50:33,330 --> 00:50:34,010 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +626 +00:50:34,010 --> 00:50:38,410 +عام بشكل عام بشكل عام بشكل + +627 +00:50:45,290 --> 00:50:51,150 +وطبعا هذه الظاهرة بتدفعنا في حالة ما يكون في بعض + +628 +00:50:51,150 --> 00:50:55,970 +ال viruses اللي ماتت بعملها processing by antigen + +629 +00:50:55,970 --> 00:51:01,770 +presenting cell او اذا في dying cell و برضه ما + +630 +00:51:01,770 --> 00:51:06,190 +بستعملها processing فبيتهاجمها + +631 +00:51:06,190 --> 00:51:11,350 +ال pair lymphocyte syndrome الناس اللي ما عندهمش + +632 +00:51:12,400 --> 00:51:17,760 +القدرة to express HLA Class I أو Class II موليكيول + +633 +00:51:17,760 --> 00:51:22,860 +أو التنين بالكونه ما يسمى Bare Lymphocyte Syndrome + +634 +00:51:22,860 --> 00:51:29,440 +والاندفيدول who do not express Class II موليكيول + +635 +00:51:29,440 --> 00:51:30,820 +have immunodeficiency + +636 +00:51:33,300 --> 00:51:36,760 +أيضا تتميز بوجود defective presentation of antigen + +637 +00:51:36,760 --> 00:51:41,740 +to CD4 and decreased number of CD4-T lymphocyte + +638 +00:51:41,740 --> 00:51:45,560 +طبعا الناس هذوله بيكون عندهم mutation in one of + +639 +00:51:45,560 --> 00:51:48,920 +the factors that control transcription of MHC + +640 +00:51:48,920 --> 00:51:52,400 +class 2 molecule gene ما بيسمله expression + +641 +00:51:52,400 --> 00:51:56,340 +وبالتالي ما بيسمله إيش ال transcription وبالتالي + +642 +00:51:56,340 --> 00:52:00,100 +ما بيسمله اللي هو expression من أصله + +643 +00:52:02,670 --> 00:52:08,010 +يعني مفيك نكون أنهينا المحاضرة نرجوا أن تكونوا قد + +644 +00:52:08,010 --> 00:52:10,550 +استمتعتم معنا و شكرا + +645 +00:52:36,160 --> 00:52:36,460 +Fire + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..27d511974df1e7a99e353228d981722aee14896d --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 2856, "start": 8.12, "end": 28.56, "text": "نلتقي اليوم في محاضرة جديدة بعنوان MHC gene and products ال MHC gene ما عبارة عن جينات موجودين على كرمزوم رقم ستة in a human and they are called HLA human glycoside antigen وما عبارة عن نوعين MHC class 1", "tokens": [1863, 1211, 2655, 38436, 45595, 20498, 8978, 3714, 5016, 46958, 25720, 10874, 16254, 41891, 4724, 3615, 1863, 2407, 7649, 34796, 34, 12186, 293, 3383, 2423, 34796, 34, 12186, 19446, 6225, 3555, 9640, 3660, 18871, 10874, 1829, 8315, 2655, 3714, 29245, 23328, 9957, 15844, 9122, 2288, 2304, 11622, 20498, 12602, 4587, 2304, 8608, 2655, 3660, 294, 257, 1952, 293, 436, 366, 1219, 389, 11435, 1952, 22633, 6877, 482, 2511, 3213, 4032, 15042, 6225, 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12.76, "end": 15.02, "word": " ال", "probability": 0.39892578125}, {"start": 15.02, "end": 15.52, "word": " MHC", "probability": 0.759521484375}, {"start": 15.52, "end": 15.92, "word": " gene", "probability": 0.475830078125}, {"start": 15.92, "end": 16.3, "word": " ما", "probability": 0.5556640625}, {"start": 16.3, "end": 16.5, "word": " عبارة", "probability": 0.79803466796875}, {"start": 16.5, "end": 16.68, "word": " عن", "probability": 0.9736328125}, {"start": 16.68, "end": 17.38, "word": " جينات", "probability": 0.9412841796875}, {"start": 17.38, "end": 18.16, "word": " موجودين", "probability": 0.9747314453125}, {"start": 18.16, "end": 18.32, "word": " على", "probability": 0.80322265625}, {"start": 18.32, "end": 18.82, "word": " كرمزوم", "probability": 0.810546875}, {"start": 18.82, "end": 19.16, "word": " رقم", "probability": 0.9622395833333334}, {"start": 19.16, "end": 20.22, "word": " ستة", "probability": 0.8002115885416666}, {"start": 20.22, "end": 20.88, "word": " in", 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" 1", "probability": 0.49462890625}, {"start": 64.56, "end": 65.26, "word": " و", "probability": 0.69873046875}, {"start": 65.26, "end": 66.26, "word": " تلاتة", "probability": 0.8544921875}, {"start": 66.26, "end": 66.96, "word": " individual", "probability": 0.90966796875}, {"start": 66.96, "end": 67.58, "word": " sets", "probability": 0.5927734375}, {"start": 67.58, "end": 67.84, "word": " of", "probability": 0.951171875}, {"start": 67.84, "end": 68.58, "word": " genes", "probability": 0.94873046875}, {"start": 68.58, "end": 69.04, "word": " ايضا", "probability": 0.83209228515625}, {"start": 69.04, "end": 69.52, "word": " for", "probability": 0.92919921875}, {"start": 69.52, "end": 71.02, "word": " class", "probability": 0.9736328125}, {"start": 71.02, "end": 71.32, "word": " 2", "probability": 0.91943359375}, {"start": 71.32, "end": 72.6, "word": " class", "probability": 0.89501953125}, {"start": 72.6, "end": 73.18, "word": " 1", "probability": 0.931640625}, {"start": 73.18, "end": 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83.5, "end": 87.74, "word": " ال", "probability": 0.84814453125}], "temperature": 1.0}, {"id": 4, "seek": 12298, "start": 93.6, "end": 122.98, "text": "Each MHC class subregion طبعاً they are present on كرمزوم رقم ستة in three different region دي ال region A وB وC وD four different region وفي هنا subregion ال subregion تحتوي على في class two MHC class two تحتوي على A or and B gene", "tokens": [36, 608, 34796, 34, 1508, 1422, 3375, 313, 23032, 3555, 3615, 995, 14111, 436, 366, 1974, 322, 9122, 2288, 2304, 11622, 20498, 12602, 4587, 2304, 8608, 2655, 3660, 294, 1045, 819, 4458, 11778, 1829, 2423, 4458, 316, 4032, 33, 4032, 34, 4032, 35, 1451, 819, 4458, 4032, 41185, 34105, 1422, 3375, 313, 2423, 1422, 3375, 313, 6055, 33753, 45865, 15844, 8978, 1508, 732, 34796, 34, 1508, 732, 6055, 33753, 45865, 15844, 316, 420, 293, 363, 12186], "avg_logprob": -0.37215908316822793, "compression_ratio": 1.543956043956044, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 93.6, "end": 94.04, 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"word": " class", "probability": 0.9765625}, {"start": 117.24, "end": 117.58, "word": " two", "probability": 0.8232421875}, {"start": 117.58, "end": 118.3, "word": " تحتوي", "probability": 0.8414713541666666}, {"start": 118.3, "end": 118.54, "word": " على", "probability": 0.93505859375}, {"start": 118.54, "end": 119.02, "word": " A", "probability": 0.72412109375}, {"start": 119.02, "end": 120.3, "word": " or", "probability": 0.275634765625}, {"start": 120.3, "end": 121.56, "word": " and", "probability": 0.74755859375}, {"start": 121.56, "end": 121.9, "word": " B", "probability": 0.9033203125}, {"start": 121.9, "end": 122.98, "word": " gene", "probability": 0.85693359375}], "temperature": 1.0}, {"id": 5, "seek": 14574, "start": 123.74, "end": 145.74, "text": "that they code for alpha or beta اللي هو chain respectively على سبيل المثال ال HLA-DBA gene codes for DB alpha و ال HLA-DB molecule", "tokens": [6780, 436, 3089, 337, 8961, 420, 9861, 13672, 1829, 31439, 5021, 25009, 15844, 8608, 21292, 1211, 9673, 12984, 6027, 2423, 389, 11435, 12, 35, 9295, 12186, 14211, 337, 26754, 8961, 4032, 2423, 389, 11435, 12, 27735, 15582], "avg_logprob": -0.397409546532129, "compression_ratio": 1.183206106870229, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 123.74, "end": 124.0, "word": "that", "probability": 0.044708251953125}, {"start": 124.0, "end": 124.26, "word": " they", "probability": 0.7265625}, {"start": 124.26, "end": 124.54, "word": " code", "probability": 0.86474609375}, {"start": 124.54, "end": 124.88, "word": " for", "probability": 0.94189453125}, {"start": 124.88, "end": 125.34, "word": " alpha", "probability": 0.398193359375}, {"start": 125.34, "end": 125.8, "word": " or", "probability": 0.86572265625}, {"start": 125.8, "end": 126.4, "word": " beta", "probability": 0.87841796875}, {"start": 126.4, "end": 127.86, "word": " اللي", "probability": 0.52850341796875}, {"start": 127.86, "end": 128.16, "word": " هو", "probability": 0.970703125}, {"start": 128.16, "end": 128.76, "word": " chain", "probability": 0.7314453125}, {"start": 128.76, "end": 129.54, "word": " respectively", "probability": 0.78271484375}, {"start": 129.54, "end": 132.8, "word": " على", "probability": 0.4248046875}, {"start": 132.8, "end": 133.1, "word": " سبيل", "probability": 0.9305013020833334}, {"start": 133.1, "end": 133.68, "word": " المثال", "probability": 0.9905598958333334}, {"start": 133.68, "end": 135.48, "word": " ال", "probability": 0.9189453125}, {"start": 135.48, "end": 136.2, "word": " HLA", "probability": 0.87255859375}, {"start": 136.2, "end": 138.34, "word": "-DBA", "probability": 0.7374674479166666}, {"start": 138.34, "end": 139.64, "word": " gene", "probability": 0.33203125}, {"start": 139.64, "end": 140.66, "word": " codes", "probability": 0.9013671875}, {"start": 140.66, "end": 140.96, "word": " for", "probability": 0.96630859375}, {"start": 140.96, "end": 141.32, "word": " DB", "probability": 0.53857421875}, {"start": 141.32, "end": 141.76, "word": " alpha", "probability": 0.515625}, {"start": 141.76, "end": 143.0, "word": " و", "probability": 0.403564453125}, {"start": 143.0, "end": 143.1, "word": " ال", "probability": 0.607421875}, {"start": 143.1, "end": 143.8, "word": " HLA", "probability": 0.973388671875}, {"start": 143.8, "end": 144.6, "word": "-DB", "probability": 0.829345703125}, {"start": 144.6, "end": 145.74, "word": " molecule", "probability": 0.52734375}], "temperature": 1.0}, {"id": 6, "seek": 17420, "start": 153.32, "end": 174.2, "text": "أيضا code for DBE بيتا هنشوفه ان شاء الله في صورة واضحة بشكل أفضل The two chain molecule هي DQ α بيتا DQ α بيتا و DR α بيتا", "tokens": [10721, 1829, 11242, 995, 3089, 337, 413, 10207, 4724, 36081, 995, 8032, 1863, 8592, 38688, 3224, 16472, 13412, 16606, 21984, 8978, 20328, 13063, 3660, 4032, 46958, 5016, 3660, 4724, 8592, 28820, 5551, 5172, 11242, 1211, 440, 732, 5021, 15582, 39896, 413, 48, 5691, 4724, 36081, 995, 413, 48, 5691, 4724, 36081, 995, 4032, 12118, 5691, 4724, 36081, 995], "avg_logprob": -0.3498410966436742, "compression_ratio": 1.2708333333333333, "no_speech_prob": 4.172325134277344e-07, "words": [{"start": 153.32, "end": 154.42, "word": "أيضا", "probability": 0.724334716796875}, {"start": 154.42, "end": 154.7, "word": " code", "probability": 0.68994140625}, {"start": 154.7, "end": 155.0, "word": " for", "probability": 0.85498046875}, {"start": 155.0, "end": 155.54, "word": " DBE", "probability": 0.333984375}, {"start": 155.54, "end": 156.34, "word": " بيتا", "probability": 0.5903727213541666}, {"start": 156.34, "end": 158.12, "word": " هنشوفه", "probability": 0.7035888671875}, {"start": 158.12, "end": 158.24, "word": " ان", "probability": 0.64599609375}, {"start": 158.24, "end": 158.46, "word": " شاء", "probability": 0.984375}, {"start": 158.46, "end": 158.54, "word": " الله", "probability": 0.94189453125}, {"start": 158.54, "end": 158.88, "word": " في", "probability": 0.8603515625}, {"start": 158.88, "end": 159.56, "word": " صورة", "probability": 0.9568684895833334}, {"start": 159.56, "end": 160.6, "word": " واضحة", "probability": 0.955322265625}, {"start": 160.6, "end": 161.58, "word": " بشكل", "probability": 0.9861653645833334}, {"start": 161.58, "end": 162.38, "word": " أفضل", "probability": 0.925537109375}, {"start": 162.38, "end": 165.52, "word": " The", "probability": 0.249755859375}, {"start": 165.52, "end": 166.02, "word": " two", "probability": 0.822265625}, {"start": 166.02, "end": 166.7, "word": " chain", "probability": 0.6787109375}, {"start": 166.7, "end": 167.44, "word": " molecule", "probability": 0.591796875}, {"start": 167.44, "end": 168.0, "word": " هي", "probability": 0.2452392578125}, {"start": 168.0, "end": 169.06, "word": " DQ", "probability": 0.684326171875}, {"start": 169.06, "end": 169.44, "word": " α", "probability": 0.4345703125}, {"start": 169.44, "end": 170.16, "word": " بيتا", "probability": 0.7440592447916666}, {"start": 170.16, "end": 171.0, "word": " DQ", "probability": 0.55975341796875}, {"start": 171.0, "end": 171.54, "word": " α", "probability": 0.84814453125}, {"start": 171.54, "end": 172.6, "word": " بيتا", "probability": 0.9099934895833334}, {"start": 172.6, "end": 172.72, "word": " و", "probability": 0.896484375}, {"start": 172.72, "end": 172.98, "word": " DR", "probability": 0.615234375}, {"start": 172.98, "end": 173.62, "word": " α", "probability": 0.8310546875}, {"start": 173.62, "end": 174.2, "word": " بيتا", "probability": 0.9772135416666666}], "temperature": 1.0}, {"id": 7, "seek": 19380, "start": 175.5, "end": 193.8, "text": "نفس الحكاية ما انطبق على ال DB انطبق بانطبق على DQ و DR في عندهم Alpha و Beta كل واحد كل واحد او كل جن مسؤول عن DB DQ او R ب code for two bullet بتاعة ال chain اللي Alpha و Beta", "tokens": [1863, 36178, 21542, 4117, 995, 10632, 19446, 16472, 9566, 3555, 4587, 15844, 2423, 26754, 16472, 9566, 3555, 4587, 4724, 7649, 9566, 3555, 4587, 15844, 413, 48, 4032, 12118, 8978, 43242, 16095, 20588, 4032, 33286, 28242, 36764, 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"start": 1223.3, "end": 1244.9, "text": "أو مستوى مستوى مستوى مستوى مستوى مستوى مستوى مستوى مستوى مستوى مستوى مستوى", "tokens": [10721, 2407, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578, 3714, 14851, 2407, 7578], "avg_logprob": -0.3759191316716811, "compression_ratio": 5.230769230769231, "no_speech_prob": 0.0, "words": [{"start": 1223.3, "end": 1224.24, "word": "أو", "probability": 0.48858642578125}, {"start": 1224.24, "end": 1224.28, "word": " مستوى", "probability": 0.447418212890625}, {"start": 1224.28, "end": 1225.16, "word": " مستوى", "probability": 0.65655517578125}, {"start": 1225.16, "end": 1226.0, "word": " مستوى", "probability": 0.63690185546875}, {"start": 1226.0, "end": 1227.58, "word": " مستوى", "probability": 0.75311279296875}, {"start": 1227.58, 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vesicle في مكان آخر في الخلية في ال endoplasmic reticulum يتم تصنيع اللي هو الامة C class 2 في ال endoplasmic reticulum ثم ينتقل إلى الجولجي أبراطوس وينتقل مرتبط بأنتيجين اسمه CG474", "tokens": [2407, 3224, 1829, 6225, 3555, 9640, 3660, 18871, 382, 327, 299, 28274, 3520, 8978, 3714, 41361, 19753, 34740, 8978, 33962, 1211, 10632, 8978, 2423, 917, 404, 7743, 13195, 1533, 299, 11560, 7251, 39237, 6055, 9381, 22653, 3615, 13672, 1829, 31439, 2423, 10943, 3660, 383, 1508, 568, 8978, 2423, 917, 404, 7743, 13195, 1533, 299, 11560, 38637, 2304, 7251, 29399, 4587, 1211, 30731, 25724, 12610, 7435, 1829, 5551, 26890, 41193, 41779, 4032, 9957, 2655, 4587, 1211, 3714, 43500, 3555, 9566, 4724, 33456, 31371, 7435, 9957, 24525, 2304, 3224, 38007, 14060, 19], "avg_logprob": -0.3602335217234853, "compression_ratio": 1.5252525252525253, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1497.95, "end": 1498.93, "word": "وهي", "probability": 0.4038899739583333}, {"start": 1498.93, "end": 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1580.85, "text": "هذا الجزء البسيط بطريقة مرتبطة لما تكون موليكيوه انها physical طبعا في الـ cytosol حركة الخلية الدائمة تجعل الـ two physical to be what؟ to be fused together و يتكونوا ايه؟ انهم يصبحوا انها physical واحدة لما تكون class two والانتجن يصبح انها physical", "tokens": [3224, 15730, 25724, 11622, 38207, 29739, 3794, 1829, 9566, 4724, 9566, 16572, 28671, 3714, 43500, 3555, 9566, 3660, 5296, 15042, 6055, 30544, 3714, 2407, 20292, 4117, 1829, 2407, 3224, 16472, 11296, 4001, 23032, 3555, 3615, 995, 8978, 2423, 39184, 40248, 329, 401, 11331, 31747, 3660, 33962, 1211, 10632, 32748, 16373, 46007, 6055, 7435, 30241, 2423, 39184, 732, 4001, 281, 312, 437, 22807, 281, 312, 283, 4717, 1214, 4032, 7251, 2655, 30544, 14407, 1975, 1829, 3224, 22807, 16472, 16095, 7251, 9381, 49628, 14407, 16472, 11296, 4001, 36764, 24401, 3660, 5296, 15042, 6055, 30544, 1508, 732, 16070, 7649, 2655, 7435, 1863, 7251, 9381, 49628, 16472, 11296, 4001], "avg_logprob": -0.4392688749533779, 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ال MHC بعد هيك على سطح الخلية مرتبط بيهش MHC class 2 molecule هذا ال pathway تبع ال exogenous", "tokens": [9566, 3555, 3615, 995, 8978, 29538, 21542, 6027, 3660, 4724, 1829, 9381, 13546, 8978, 7742, 49374, 2423, 7353, 4032, 2423, 2511, 3213, 6156, 21292, 7435, 1829, 2423, 2511, 3213, 4032, 4724, 1829, 4587, 22488, 3714, 5016, 1211, 2423, 7353, 4032, 4724, 1829, 9566, 1211, 3615, 2423, 34796, 34, 39182, 39896, 4117, 15844, 8608, 9566, 5016, 33962, 1211, 10632, 3714, 43500, 3555, 9566, 4724, 1829, 3224, 8592, 34796, 34, 1508, 568, 15582, 23758, 2423, 18590, 6055, 3555, 3615, 2423, 454, 45519], "avg_logprob": -0.3460648030410578, "compression_ratio": 1.5260416666666667, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1581.35, "end": 1581.69, "word": "طبعا", "probability": 0.7681884765625}, {"start": 1581.69, "end": 1581.77, "word": " في", "probability": 0.74658203125}, {"start": 1581.77, "end": 1581.91, "word": " هذه", "probability": 0.50537109375}, {"start": 1581.91, "end": 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Cell", "probability": 0.9638671875}, {"start": 2368.11, "end": 2368.11, "word": " Surface", "probability": 0.9794921875}, {"start": 2368.11, "end": 2368.11, "word": " of", "probability": 0.9736328125}, {"start": 2368.11, "end": 2368.11, "word": " Antigen", "probability": 0.985595703125}, {"start": 2368.11, "end": 2368.11, "word": "-Presenting", "probability": 0.962646484375}, {"start": 2368.11, "end": 2368.11, "word": " Cell", "probability": 0.96337890625}, {"start": 2368.11, "end": 2368.11, "word": " أيضًا", "probability": 0.993408203125}, {"start": 2368.11, "end": 2368.57, "word": " مرتبطة", "probability": 0.94521484375}, {"start": 2368.57, "end": 2369.01, "word": " بـMethyl", "probability": 0.95537109375}, {"start": 2369.01, "end": 2369.41, "word": "-2", "probability": 0.998291015625}, {"start": 2369.41, "end": 2369.87, "word": "-Microviral", "probability": 0.926513671875}, {"start": 2369.87, "end": 2369.87, "word": ".موجودة", "probability": 0.91484375}, {"start": 2369.87, "end": 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to take a place in acidic cellular compartment زي ما بيحصل في loading للـ exogenous peptide with MSC class II molecule", "tokens": [9566, 3555, 3615, 995, 14111, 2423, 39184, 49740, 4458, 295, 8280, 327, 39894, 43500, 3555, 9566, 20666, 39184, 314, 18547, 16712, 3555, 41193, 38207, 2423, 39184, 8280, 327, 2511, 3213, 281, 6743, 16, 307, 7847, 281, 747, 257, 1081, 294, 39514, 29267, 26505, 30767, 1829, 19446, 4724, 1829, 5016, 36520, 8978, 15114, 24976, 39184, 454, 45519, 41781, 482, 365, 7395, 34, 1508, 6351, 15582], "avg_logprob": -0.43653846153846154, "compression_ratio": 1.251231527093596, "no_speech_prob": 0.0, "words": [{"start": 2374.55, "end": 2375.09, "word": "طبعاً", "probability": 0.735888671875}, {"start": 2375.09, "end": 2375.49, "word": " الـ", "probability": 0.29736328125}, {"start": 2375.49, "end": 2375.87, "word": " poorer", "probability": 0.245361328125}, {"start": 2375.87, "end": 2376.65, "word": " region", "probability": 0.90771484375}, {"start": 2376.65, "end": 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2389.79, "word": " believed", "probability": 0.84130859375}, {"start": 2389.79, "end": 2389.97, "word": " to", "probability": 0.96923828125}, {"start": 2389.97, "end": 2390.23, "word": " take", "probability": 0.89697265625}, {"start": 2390.23, "end": 2390.55, "word": " a", "probability": 0.486572265625}, {"start": 2390.55, "end": 2391.07, "word": " place", "probability": 0.93798828125}, {"start": 2391.07, "end": 2391.25, "word": " in", "probability": 0.95361328125}, {"start": 2391.25, "end": 2391.65, "word": " acidic", "probability": 0.74169921875}, {"start": 2391.65, "end": 2392.07, "word": " cellular", "probability": 0.9013671875}, {"start": 2392.07, "end": 2392.89, "word": " compartment", "probability": 0.9287109375}, {"start": 2392.89, "end": 2393.67, "word": " زي", "probability": 0.898193359375}, {"start": 2393.67, "end": 2393.89, "word": " ما", "probability": 0.970703125}, {"start": 2393.89, "end": 2394.21, "word": " بيحصل", "probability": 0.7301025390625}, {"start": 2394.21, 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بيقدموا تلك ال TCR لكن CD1D present limit and like of limit to NK T cell", "tokens": [16508, 16, 32, 11, 363, 11, 293, 383, 1974, 4948, 281, 314, 2815, 300, 764, 364, 8961, 9861, 314, 18547, 44381, 6743, 16, 35, 37495, 22653, 316, 4032, 33, 4032, 34, 4724, 1829, 28543, 2304, 14407, 6055, 23275, 2423, 314, 18547, 44381, 6743, 16, 35, 1974, 4948, 293, 411, 295, 4948, 281, 426, 42, 314, 2815], "avg_logprob": -0.33936404345328347, "compression_ratio": 1.2777777777777777, "no_speech_prob": 0.0, "words": [{"start": 2400.7, "end": 2401.54, "word": "CD1A,", "probability": 0.7789713541666666}, {"start": 2402.04, "end": 2402.26, "word": " B,", "probability": 0.2177734375}, {"start": 2402.68, "end": 2403.0, "word": " and", "probability": 0.5537109375}, {"start": 2403.0, "end": 2403.4, "word": " C", "probability": 0.978515625}, {"start": 2403.4, "end": 2404.96, "word": " present", "probability": 0.3369140625}, {"start": 2404.96, "end": 2405.36, "word": " limit", "probability": 0.64111328125}, {"start": 2405.36, "end": 2405.56, "word": " to", "probability": 0.89208984375}, {"start": 2405.56, "end": 2405.72, "word": " T", "probability": 0.919921875}, {"start": 2405.72, "end": 2406.1, "word": " cell", "probability": 0.80224609375}, {"start": 2406.1, "end": 2408.36, "word": " that", "probability": 0.5048828125}, {"start": 2408.36, "end": 2408.78, "word": " use", "probability": 0.7763671875}, {"start": 2408.78, "end": 2409.16, "word": " an", "probability": 0.63037109375}, {"start": 2409.16, "end": 2409.66, "word": " alpha", "probability": 0.29931640625}, {"start": 2409.66, "end": 2410.14, "word": " beta", "probability": 0.68603515625}, {"start": 2410.14, "end": 2411.16, "word": " TCR", "probability": 0.905517578125}, {"start": 2411.16, "end": 2412.4, "word": " لكن", "probability": 0.6171875}, {"start": 2412.4, "end": 2413.52, "word": " CD1D", "probability": 0.96533203125}, {"start": 2413.52, "end": 2414.42, "word": " يعني", "probability": 0.7274169921875}, {"start": 2414.42, "end": 2414.64, "word": " A", "probability": 0.88134765625}, {"start": 2414.64, "end": 2414.96, "word": " وB", "probability": 0.76123046875}, {"start": 2414.96, "end": 2415.42, "word": " وC", "probability": 0.9599609375}, {"start": 2415.42, "end": 2416.98, "word": " بيقدموا", "probability": 0.9208984375}, {"start": 2416.98, "end": 2417.22, "word": " تلك", "probability": 0.4989013671875}, {"start": 2417.22, "end": 2417.24, "word": " ال", "probability": 0.44140625}, {"start": 2417.24, "end": 2417.76, "word": " TCR", "probability": 0.792236328125}, {"start": 2417.76, "end": 2418.06, "word": " لكن", "probability": 0.76171875}, {"start": 2418.06, "end": 2418.96, "word": " CD1D", "probability": 0.9638671875}, {"start": 2418.96, "end": 2420.0, "word": " present", "probability": 0.7841796875}, {"start": 2420.0, "end": 2420.48, "word": " limit", "probability": 0.912109375}, {"start": 2420.48, "end": 2420.72, "word": " and", "probability": 0.580078125}, {"start": 2420.72, "end": 2420.98, "word": " like", "probability": 0.35400390625}, {"start": 2420.98, "end": 2421.16, "word": " of", "probability": 0.40673828125}, {"start": 2421.16, "end": 2421.5, "word": " limit", "probability": 0.9580078125}, {"start": 2421.5, "end": 2421.76, "word": " to", "probability": 0.873046875}, {"start": 2421.76, "end": 2422.48, "word": " NK", "probability": 0.806640625}, {"start": 2422.48, "end": 2423.54, "word": " T", "probability": 0.7734375}, {"start": 2423.54, "end": 2424.3, "word": " cell", "probability": 0.80615234375}], "temperature": 1.0}, {"id": 89, "seek": 245604, "start": 2429.22, "end": 2456.04, "text": "طبعا هي TCR هى ال non polar في الداخل و ال polar برا طبعا ال non polar هي تقدم لمين؟ ل ال CD1 طبعا زى ما انتوا شايفين resembling مين؟ resembling اللى هو class one molecule مرتبطة ب beta 2 microglobulin و ال polar بيكون باتجاه ايش؟", "tokens": [9566, 3555, 3615, 995, 39896, 314, 18547, 8032, 7578, 2423, 2107, 12367, 8978, 32748, 47283, 1211, 4032, 2423, 12367, 4724, 23557, 23032, 3555, 3615, 995, 2423, 2107, 12367, 39896, 6055, 28543, 2304, 32767, 9957, 22807, 5296, 2423, 6743, 16, 23032, 3555, 3615, 995, 30767, 7578, 19446, 16472, 2655, 14407, 13412, 995, 33911, 9957, 20695, 1688, 3714, 9957, 22807, 20695, 1688, 13672, 7578, 31439, 1508, 472, 15582, 3714, 43500, 3555, 9566, 3660, 4724, 9861, 568, 4532, 70, 752, 12176, 259, 4032, 2423, 12367, 4724, 1829, 30544, 4724, 9307, 7435, 40294, 1975, 1829, 8592, 22807], "avg_logprob": -0.3404255315978476, "compression_ratio": 1.5769230769230769, "no_speech_prob": 5.364418029785156e-07, "words": [{"start": 2429.22, "end": 2429.58, "word": "طبعا", "probability": 0.8187255859375}, {"start": 2429.58, "end": 2429.78, "word": " هي", "probability": 0.5283203125}, {"start": 2429.78, "end": 2430.6, "word": " TCR", "probability": 0.6446533203125}, {"start": 2430.6, "end": 2433.98, "word": " هى", "probability": 0.47998046875}, {"start": 2433.98, "end": 2434.06, "word": " ال", "probability": 0.47314453125}, {"start": 2434.06, "end": 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هي", "probability": 0.1826171875}, {"start": 2440.4, "end": 2440.92, "word": " تقدم", "probability": 0.951171875}, {"start": 2440.92, "end": 2441.98, "word": " لمين؟", "probability": 0.6204833984375}, {"start": 2441.98, "end": 2442.3, "word": " ل", "probability": 0.363037109375}, {"start": 2442.3, "end": 2443.68, "word": " ال", "probability": 0.37255859375}, {"start": 2443.68, "end": 2445.18, "word": " CD1", "probability": 0.722412109375}, {"start": 2445.18, "end": 2446.08, "word": " طبعا", "probability": 0.755615234375}, {"start": 2446.08, "end": 2446.28, "word": " زى", "probability": 0.5823974609375}, {"start": 2446.28, "end": 2446.36, "word": " ما", "probability": 0.81884765625}, {"start": 2446.36, "end": 2446.56, "word": " انتوا", "probability": 0.83984375}, {"start": 2446.56, "end": 2446.94, "word": " شايفين", "probability": 0.9844970703125}, {"start": 2446.94, "end": 2447.58, "word": " resembling", "probability": 0.71923828125}, {"start": 2447.58, "end": 2448.08, "word": " مين؟", 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-0.421142578125, "compression_ratio": 0.3333333333333333, "no_speech_prob": 0.0, "words": [{"start": 3156.16, "end": 3156.46, "word": "Fire", "probability": 0.55419921875}], "temperature": 1.0}], "language": "ar", "language_probability": 1.0, "duration": 3201.1958125, "duration_after_vad": 2999.156874999992} \ No newline at end of file diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..98e9e98cf8c3659f54e50c460bb2591770cf2e05 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/vqUjT-Vann4_raw.srt @@ -0,0 +1,2652 @@ +1 +00:00:08,120 --> 00:00:12,240 +نلتقي اليوم في محاضرة جديدة بعنوان MHC gene and + +2 +00:00:12,240 --> 00:00:18,320 +products ال MHC gene ما عبارة عن جينات موجودين على + +3 +00:00:18,320 --> 00:00:23,460 +كرمزوم رقم ستة in a human and they are called HLA + +4 +00:00:23,460 --> 00:00:27,980 +human glycoside antigen وما عبارة عن نوعين MHC + +5 +00:00:27,980 --> 00:00:34,830 +class 1هو تلات أنواع لكن هؤلاء اللي مرتبطين + +6 +00:00:34,830 --> 00:00:38,450 +بانتجين + +7 +00:00:38,450 --> 00:00:46,990 +وانتجين وانتجين وانتجين + +8 +00:00:46,990 --> 00:00:53,470 +انتجين انتجين انتجين انتجين انتجين انتجين انتجين + +9 +00:00:53,470 --> 00:00:57,550 +انتجين انتجين + +10 +00:00:57,550 --> 00:00:58,270 +انتجين انتجين انتجين انتجين انتجين انتجين انتجين + +11 +00:00:58,270 --> 00:00:58,290 +انتجين انتجين انتجين انتجين انتجين انتجين انتجين + +12 +00:00:58,290 --> 00:01:03,660 +انتجين انتجينوهنا فينا تلاتة individual genes for + +13 +00:01:03,660 --> 00:01:09,520 +class 1 و تلاتة individual sets of genes ايضا for + +14 +00:01:09,520 --> 00:01:19,180 +class 2 class 1 بيسموهم HLA A وB وC بينما class 2 + +15 +00:01:19,180 --> 00:01:27,740 +بيسموه HLA DB DQ DR ال + +16 +00:01:33,600 --> 00:01:40,300 +Each MHC class subregion طبعاً they are present on + +17 +00:01:40,300 --> 00:01:46,700 +كرمزوم رقم ستة in three different region دي ال + +18 +00:01:46,700 --> 00:01:52,860 +region A وB وC وD four different region وفي هنا + +19 +00:01:52,860 --> 00:01:57,000 +subregion ال subregion تحتوي على في class two MHC + +20 +00:01:57,000 --> 00:02:04,540 +class two تحتوي على A or and B genethat they code + +21 +00:02:04,540 --> 00:02:12,800 +for alpha or beta اللي هو chain respectively على + +22 +00:02:12,800 --> 00:02:23,000 +سبيل المثال ال HLA-DBA gene codes for DB alpha و + +23 +00:02:23,000 --> 00:02:25,740 +ال HLA-DB molecule + +24 +00:02:33,320 --> 00:02:39,560 +أيضا code for DBE بيتا هنشوفه ان شاء الله في صورة + +25 +00:02:39,560 --> 00:02:45,520 +واضحة بشكل أفضل The + +26 +00:02:45,520 --> 00:02:53,620 +two chain molecule هي DQ α بيتا DQ α بيتا و DR α + +27 +00:02:53,620 --> 00:02:59,720 +بيتانفس الحكاية ما انطبق على ال DB انطبق بانطبق + +28 +00:02:59,720 --> 00:03:05,240 +على DQ و DR في عندهم Alpha و Beta كل واحد كل واحد + +29 +00:03:05,240 --> 00:03:12,240 +او كل جن مسؤول عن DB DQ او R ب code for two bullet + +30 +00:03:12,240 --> 00:03:16,440 +بتاعة ال chain اللي Alpha و BetaMLC Class I + +31 +00:03:16,440 --> 00:03:21,340 +موليكيول مواجهة على كل خلال المخلوق المخلوق + +32 +00:03:21,340 --> 00:03:23,620 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +33 +00:03:23,620 --> 00:03:23,720 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +34 +00:03:23,720 --> 00:03:24,040 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +35 +00:03:24,040 --> 00:03:25,660 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +36 +00:03:25,660 --> 00:03:28,380 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +37 +00:03:28,380 --> 00:03:34,440 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +38 +00:03:34,440 --> 00:03:34,440 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +39 +00:03:34,440 --> 00:03:35,340 +المخلوق المخلوق المخلوق المخلوق المخلوق المخلوق + +40 +00:03:35,340 --> 00:03:43,020 +المخلوق + +41 +00:03:43,780 --> 00:03:46,940 +بينما class 2 موجودة على الانتجين presenting cell + +42 +00:03:46,940 --> 00:03:52,280 +و it's limited to certain cells it's limited to + +43 +00:03:52,280 --> 00:03:58,380 +certain cells expression expression of MSC class 1 + +44 +00:03:58,380 --> 00:04:05,450 +is coordinateيعني التلاتة كل التلاتة mhc class one + +45 +00:04:05,450 --> 00:04:07,910 +molecule are expressed on the surface of the sea + +46 +00:04:07,910 --> 00:04:11,810 +at the same time تلاتة they are inherited + +47 +00:04:11,810 --> 00:04:16,370 +expression their expression together they are + +48 +00:04:16,370 --> 00:04:20,050 +coordinate أيضا + +49 +00:04:20,050 --> 00:04:26,630 +ال mhc class two is expressed coordinately لكن في + +50 +00:04:26,630 --> 00:04:30,870 +شوية regulation class واحديمكن أن يتم إدراجه في + +51 +00:04:30,870 --> 00:04:36,830 +مفاوضة أي MSC Class 2 طبيعي جدا هذا يسمى إدراج + +52 +00:04:36,830 --> 00:04:42,110 +وهذا يسمى إدراج لواحده لأن هذا موجود على خلايا + +53 +00:04:42,110 --> 00:04:46,450 +وهذا موجود على خلايا مستوى MSC Class 1 و2 إدراج + +54 +00:04:46,450 --> 00:04:53,770 +على سطح الخلايا يمكن أن يتم إدراجه أو يتم إدراجه + +55 +00:04:53,770 --> 00:04:54,310 +أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم + +56 +00:04:54,310 --> 00:04:55,090 +إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه + +57 +00:04:55,090 --> 00:04:56,250 +أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم + +58 +00:04:56,250 --> 00:04:58,830 +إدراجه أو يتم إدراجه أو يتم إدراجه أو يتم إدراجه + +59 +00:04:58,830 --> 00:05:01,750 +أو يتم إدEnhance the expression of class 2 among C + +60 +00:05:01,750 --> 00:05:09,470 +molecules and class 1 وهذه + +61 +00:05:09,470 --> 00:05:16,410 +الصورة موضحة تماما وهي class 1 موجود على ايه منه + +62 +00:05:16,410 --> 00:05:24,010 +تلات انواع A وB وC وهي class 2 أيضا موجود على اللي + +63 +00:05:24,010 --> 00:05:33,760 +هو ال D regionويقسمون الى DB وDQ وDR ويهان كل جين + +64 +00:05:33,760 --> 00:05:41,540 +مسئول عن الـA أو الـB أو الـC code for Alpha + +65 +00:05:41,540 --> 00:05:48,120 +polypeptide gene فقط وفي مكان أخر بيتصنع الـBeta 2 + +66 +00:05:48,120 --> 00:05:52,040 +-microglobulin اللي بيشبك في الـAlpha وبيدينا + +67 +00:05:52,040 --> 00:05:58,700 +class Iمحc موليكيول هي عبارة عن تلاتة alpha تلاتة + +68 +00:05:58,700 --> 00:06:04,280 +domain of alpha مرتبط بال beta 2 micro blob وما + +69 +00:06:04,280 --> 00:06:10,880 +ينطبق على ال a ينطبق على ال b و ال c بينما class 2 + +70 +00:06:10,880 --> 00:06:14,160 +محc موليكيول انها دي دي دي دي دي دي دي دي دي دي دي + +71 +00:06:14,160 --> 00:06:15,900 +دي دي دي دي دي دي دي دي دي دي + +72 +00:06:24,140 --> 00:06:29,480 +أما Alpha و Beta طبعا هنا في Alpha و Beta و Alpha + +73 +00:06:29,480 --> 00:06:32,460 +و Beta و Alpha و Beta في التلاتة فالتانية التلاتة + +74 +00:06:32,460 --> 00:06:37,420 +طبعا they are expressed on the surface as Alpha و + +75 +00:06:37,420 --> 00:06:41,300 +Beta لكن Alpha وجدوا أنه في لها two domain Alpha 1 + +76 +00:06:41,300 --> 00:06:44,820 +و Alpha 2 و Beta لها أيضا two domain Beta 1 و Beta + +77 +00:06:44,820 --> 00:06:48,700 +2 فبالتالي ال structure of class 2 في جميع الأحوال + +78 +00:06:48,700 --> 00:06:51,060 +Alpha 1 و Alpha 2 و Beta 1 و Beta 2 + +79 +00:06:55,440 --> 00:07:03,920 +وهي ال class one mhc molecule زي ما انتوا شايفين + +80 +00:07:03,920 --> 00:07:10,160 +بيتكون من one polypeptide chain لكنها عبارة عن + +81 +00:07:10,160 --> 00:07:13,760 +three different domain Alpha one, Alpha two, Alpha + +82 +00:07:13,760 --> 00:07:18,220 +three مرتبطين بمين؟ بال beta two microglobulin + +83 +00:07:18,220 --> 00:07:23,380 +مرتبطين non-covalently بمين؟ بال beta two + +84 +00:07:23,380 --> 00:07:29,700 +microglobulinلأ الـ alpha domain is connected to + +85 +00:07:29,700 --> 00:07:31,920 +each other by the sulphide bond ونفس الحكاية ال + +86 +00:07:31,920 --> 00:07:38,840 +beta2 microglobulin intra-disulphide bond ال + +87 +00:07:38,840 --> 00:07:47,400 +domains of alpha ماشي + +88 +00:07:47,400 --> 00:07:51,200 +موجود ان ال alpha 1 و ال alpha 2 are external + +89 +00:07:51,200 --> 00:07:57,930 +domain and they are variableThey are invariable + +90 +00:07:57,930 --> 00:08:04,210 +يعني انفرادتشين وبالتالي هم من يحددوا ال + +91 +00:08:04,210 --> 00:08:07,250 +variability او ال specificity وبعملش class one + +92 +00:08:07,250 --> 00:08:17,150 +molecule وفيها ال growth التجويف which bind to the + +93 +00:08:17,150 --> 00:08:21,730 +peptide ماشي وزي ما انتوا شايفين ال growth is + +94 +00:08:21,730 --> 00:08:26,900 +closedماشي وهذه نقطة مهمة لأنه بما أنه closed يبقى + +95 +00:08:26,900 --> 00:08:33,660 +مابقدرش يستوعب بيبتايد بحجم كبير فارتباط البيبتايد + +96 +00:08:33,660 --> 00:08:38,620 +بيكون هان واللي فوق عبارة عن إيش ال variable Alpha + +97 +00:08:38,620 --> 00:08:43,840 +3 Beta 2 Microglobulin بيشكلوا أو بيمثلوا ال + +98 +00:08:43,840 --> 00:08:53,570 +constant domain وفي Alpha 3 بيرتبط ال CD8بينما الـ + +99 +00:08:53,570 --> 00:08:57,230 +Antigen ده هو اللي موجود في الـ Groove بيرتبط في + +100 +00:08:57,230 --> 00:09:00,950 +الـ TCR وهذه واضحة صورة موضحة هاي الـ Peptide + +101 +00:09:00,950 --> 00:09:07,470 +وموجود ده بين Alpha 1 و Alpha 2 وزي ما انتوا + +102 +00:09:07,470 --> 00:09:12,210 +شايفين الـ Groove بيحمل Peptide لها تجاوز حجمها 8 + +103 +00:09:12,210 --> 00:09:17,710 +إلى 9 Amino Acids وهذه بتقدم إلى الـ TCR من يرتبط + +104 +00:09:17,710 --> 00:09:23,070 +بها الـ TCRلكن Alpha-3 بترتبط بمين؟ بالـ Co + +105 +00:09:23,070 --> 00:09:29,270 +-Receptor سمناه CDH CD8 لأنه MLC Class I ملكيوري + +106 +00:09:29,270 --> 00:09:40,370 +بيقدم الانتجن لمين؟ لـ CD8 Alpha + +107 +00:09:40,370 --> 00:09:49,930 +Class II MLC ملكيوري هم برضه بيتكون منطوب الـ + +108 +00:09:49,930 --> 00:09:55,310 +peptide chain Alpha وBeta وكل واحدة منهم فيها two + +109 +00:09:55,310 --> 00:09:58,570 +domain ففيها Alpha 1 وAlpha 2 وBeta 1 وBeta 2 + +110 +00:09:58,570 --> 00:10:03,450 +ويعني برضه منقسمين إلى ال variable و constant + +111 +00:10:03,450 --> 00:10:07,170 +region فال variable بتشكل Alpha 1 وBeta 1 وفيها ال + +112 +00:10:07,170 --> 00:10:15,330 +group وفيها ال pocket اللي بيرتبط بال بيبتايد + +113 +00:10:15,330 --> 00:10:24,730 +antigenic peptideوزمتوا شايفين الـ peptide هنا is + +114 +00:10:24,730 --> 00:10:30,550 +open ال growth is open وبالتالي يستطيع انه يحمل او + +115 +00:10:30,550 --> 00:10:37,610 +يرتبط ال peptide اكبر حجما يبقى اللي فوق عبارة عن + +116 +00:10:37,610 --> 00:10:41,390 +variable Alpha 2 و Beta 2 دولة بشكل ال constant + +117 +00:10:41,390 --> 00:10:50,350 +region ايضا ال CD4 بيرتبط بال Beta 2CD4 بيرتبط + +118 +00:10:50,350 --> 00:10:54,330 +بالـ Beta 2 شايفين بيبتعد حجم من 12 ل 20 amino + +119 +00:10:54,330 --> 00:11:00,170 +acids يعني حجم كبير و TCR ده هو بيرتبط بمين؟ بال + +120 +00:11:00,170 --> 00:11:04,730 +MSC Class 2 موليكيول بالانتجن اللي ممسوك بالMSC + +121 +00:11:04,730 --> 00:11:11,170 +Class 2 موليكيول ال variability of MSC gene and + +122 +00:11:11,170 --> 00:11:11,650 +product + +123 +00:11:14,980 --> 00:11:19,880 +الـ Genetic Polymorphism وجدوا أنه فيه Different + +124 +00:11:19,880 --> 00:11:23,040 +Alleles + +125 +00:11:23,040 --> 00:11:33,980 +ماشي Presence in each MHC Class I أو Class II وهذا + +126 +00:11:33,980 --> 00:11:40,540 +ما يسمى طبعا ما يُعرف بالـ Polymorphism أن الجين + +127 +00:11:40,540 --> 00:11:44,340 +نفسه هو عبارة عن Polymorphic Genein different + +128 +00:11:44,340 --> 00:11:48,300 +individual في different alleles ماشي و بيسمو هذه + +129 +00:11:48,300 --> 00:11:52,040 +الظاهرة within the same species different + +130 +00:11:52,040 --> 00:11:55,700 +individual within a species have slightly + +131 +00:11:55,700 --> 00:11:59,420 +different form يعني عندهم different form of allele + +132 +00:11:59,420 --> 00:12:05,000 +و طبعا each class one و class two are different in + +133 +00:12:05,000 --> 00:12:10,660 +different individual at a single MSC locusالشخص + +134 +00:12:10,660 --> 00:12:14,220 +المختلف يمتلك طبيعية مختلفة من الجينات الطبيعية + +135 +00:12:14,220 --> 00:12:20,640 +جدا بما أنها متجاربة وفي مجموعات مختلفة يبقى بين + +136 +00:12:20,640 --> 00:12:25,260 +الشخص يبقى كل شخص يمتلك مجموعات مختلفة اللي هو + +137 +00:12:25,260 --> 00:12:34,920 +الجين يمتلك مجموعات مختلفة جيناتيكية وبالتالي ال + +138 +00:12:34,920 --> 00:12:39,720 +product مختلف نهيوماDifferent alleles are given + +139 +00:12:39,720 --> 00:12:50,780 +number على سبيل المثال HLA-B15 و HLA-B27 طبعا هذه + +140 +00:12:50,780 --> 00:12:54,440 +الظاهرة بتسمى وجود of having multiple stable form + +141 +00:12:54,440 --> 00:12:59,500 +of one gene multiple stable form of one gene in + +142 +00:12:59,500 --> 00:12:59,940 +population + +143 +00:13:02,590 --> 00:13:06,410 +وهذا ما يشكل مجموعة الاماتشي بمجموعة الاماتشي + +144 +00:13:06,410 --> 00:13:15,610 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +145 +00:13:15,610 --> 00:13:18,430 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +146 +00:13:18,430 --> 00:13:21,350 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +147 +00:13:21,350 --> 00:13:23,130 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +148 +00:13:23,130 --> 00:13:26,530 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الاماتشي + +149 +00:13:26,530 --> 00:13:31,890 +بمجموعة الاماتشي بمجموعة الاماتشي بمجموعة الامات + +150 +00:13:32,020 --> 00:13:40,720 +بخلّي هو من جعل ماشي two random individual express + +151 +00:13:40,720 --> 00:13:54,040 +different اللي هو gene the + +152 +00:13:54,040 --> 00:13:59,180 +extensive polymorphism of MHC gene makes it very + +153 +00:13:59,180 --> 00:14:04,600 +unlikely very unlikely يعني it's notيعني likely + +154 +00:14:04,600 --> 00:14:09,460 +found ما بيكون فيه تنين two different individual + +155 +00:14:09,460 --> 00:14:12,880 +two random different individual have the same or + +156 +00:14:12,880 --> 00:14:20,180 +identical set of MRC molecule ال polymorphism هي + +157 +00:14:20,180 --> 00:14:24,460 +ال basis of rapid graft rejection هي الأساس + +158 +00:14:24,460 --> 00:14:29,470 +between genetically different individualHow can be + +159 +00:14:29,470 --> 00:14:37,610 +expressed co-dominantly from both the material and + +160 +00:14:37,610 --> 00:14:38,950 +the paternal from both the material and the + +161 +00:14:38,950 --> 00:14:41,490 +paternal from both the material and the paternal + +162 +00:14:41,490 --> 00:14:43,830 +from both the material and the paternal from both + +163 +00:14:43,830 --> 00:14:44,390 +the material and the paternal from both the + +164 +00:14:44,390 --> 00:14:44,790 +material and the paternal from both the material + +165 +00:14:44,790 --> 00:14:47,210 +and the paternal from both the material and the + +166 +00:14:47,210 --> 00:14:49,490 +paternal from both the material and the paternal + +167 +00:14:56,650 --> 00:15:02,630 +كل جسم من أحد الناس يوصف إلى 6 أشخاص مختلفة HLA + +168 +00:15:02,630 --> 00:15:09,230 +Class 1 و3 مخصصة لـ HLA Class gene على كل كرموزون + +169 +00:15:09,230 --> 00:15:17,870 +وبالتالي الإنسان ممكن يوصف الاختلاف على سبيل + +170 +00:15:17,870 --> 00:15:25,010 +المثالة HLA A2 وA5 وB7 + +171 +00:15:26,500 --> 00:15:36,720 +و B13 و A C6 و C8 طبعا هذا زي ما انتوا شايفين في + +172 +00:15:36,720 --> 00:15:42,320 +عنا اتنين HLA A اتنين HLA B واحد maternal واحد + +173 +00:15:42,320 --> 00:15:47,280 +paternal و اتنين HLA C C هذا من ال class واحد طبعا + +174 +00:15:47,280 --> 00:15:51,520 +عنا ستة ل class واحد تلاتة من ال maternal و تلاتة + +175 +00:15:51,520 --> 00:15:57,400 +من ال maternal كمان في عنا ستة ل class twoماشي + +176 +00:15:57,400 --> 00:16:00,360 +تلاتة من ال maternal و تلاتة من ال paternal + +177 +00:16:00,360 --> 00:16:03,960 +another + +178 +00:16:03,960 --> 00:16:07,760 +person may express completely different HLA class + +179 +00:16:07,760 --> 00:16:12,380 +6 completely different HLA class 1 طبعا person + +180 +00:16:12,380 --> 00:16:16,960 +تاني ممكن يدينا حاجة تاني خالص some individual may + +181 +00:16:16,960 --> 00:16:20,040 +express fewer than 6 طبعا هذا الكلام بيصير لما + +182 +00:16:20,040 --> 00:16:23,920 +يكون تانين homozygous for a particular الهيلفة + +183 +00:16:23,920 --> 00:16:27,440 +بيدينا إيش عدد أقلبالنسبة للموزوم البرمجاني + +184 +00:16:27,440 --> 00:16:28,660 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +185 +00:16:28,660 --> 00:16:30,180 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +186 +00:16:30,180 --> 00:16:32,080 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +187 +00:16:32,080 --> 00:16:40,660 +البرمجاني البرمجاني + +188 +00:16:40,660 --> 00:16:41,180 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +189 +00:16:41,180 --> 00:16:41,180 +البرمجاني البرمجاني البرمجاني البرمجاني البرمجاني + +190 +00:16:41,180 --> 00:16:49,700 +البرمجاني البرمجاني البرمجاني البرمجاني + +191 +00:16:49,700 --> 00:16:52,720 +البرمجاني + +192 +00:16:53,900 --> 00:17:03,180 +مثل Dp Alpha وDp Q وDq Beta يمكن ان يكونوا موجودين + +193 +00:17:03,180 --> 00:17:04,140 +او يمكن ان يكونوا موجودين او يمكن ان يكونوا + +194 +00:17:04,140 --> 00:17:04,980 +موجودين او يمكن ان يكونوا موجودين او يمكن ان + +195 +00:17:04,980 --> 00:17:04,980 +يكونوا موجودين او يمكن ان يكونوا موجودين او يمكن + +196 +00:17:04,980 --> 00:17:06,400 +ان يكونوا موجودين او يمكن ان يكونوا موجودين او + +197 +00:17:06,400 --> 00:17:06,440 +يمكن ان يكونوا موجودين او يمكن ان يكونوا موجودين + +198 +00:17:06,440 --> 00:17:06,440 +او يمكن ان يكونوا موجودين او يمكن ان يكونوا + +199 +00:17:06,440 --> 00:17:07,420 +موجودين او يمكن ان يكونوا موجودين او يمكن ان + +200 +00:17:07,420 --> 00:17:08,100 +يكونوا موجودين او يمكن ان يكونوا موجودين او يمكن + +201 +00:17:08,100 --> 00:17:12,600 +ان يكونوا موجودين او يمكن ان يكونوا موجودين او + +202 +00:17:12,600 --> 00:17:16,040 +يمكن ان يكونواهي مجموعة مختلفة من الجنية مثل DB + +203 +00:17:16,040 --> 00:17:21,640 +Alpha مع DB مع DQ Beta تنتين تتعامل مع بعض و + +204 +00:17:21,640 --> 00:17:22,380 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +205 +00:17:22,380 --> 00:17:24,360 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +206 +00:17:24,360 --> 00:17:24,800 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +207 +00:17:24,800 --> 00:17:25,220 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +208 +00:17:25,220 --> 00:17:26,860 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +209 +00:17:26,860 --> 00:17:29,780 +تتعامل مع بعض و تتعامل مع بعض و تتعامل مع بعض و + +210 +00:17:29,780 --> 00:17:37,180 +تتعامل مع بعض و تتعامل مع بعض و + +211 +00:17:37,180 --> 00:17:44,890 +تتعامل مع بعمشي and it's passed on as unit into + +212 +00:17:44,890 --> 00:17:52,230 +the offspring بتويرث ك unit فيش لخلف الصالح + +213 +00:17:52,230 --> 00:17:57,770 +actually haplotype of any offspring will differ + +214 +00:17:57,770 --> 00:18:00,850 +from the haplotype of parent طبيعي جدا ال + +215 +00:18:00,850 --> 00:18:04,870 +haplotype هو offspring يختلف عن أبوه لأنه ماخد من + +216 +00:18:04,870 --> 00:18:11,170 +أمه ومن أبوهMSC Identity You Can Monozygotic Twins + +217 +00:18:11,170 --> 00:18:15,410 +الـ Identical MSC مليكيوري بنشوفها in Monozygotic + +218 +00:18:15,410 --> 00:18:22,290 +Twins وطبعاً هذا ممكن يصير في أي عيلة it's + +219 +00:18:22,290 --> 00:18:26,030 +unlikely to find individual in general population + +220 +00:18:26,030 --> 00:18:31,530 +who are match at all HLA-Ls إمتيحانة نلاقي two + +221 +00:18:31,530 --> 00:18:39,780 +individualزي بعض ماشي الهم the same HLA الليل + +222 +00:18:39,780 --> 00:18:44,640 +Structural molecule طبعا شرحتلكوا إياها بس خلّينا + +223 +00:18:44,640 --> 00:18:49,520 +نسترجعه مرة تانية هي HMHC class I molecule gene + +224 +00:18:49,520 --> 00:18:53,220 +code for a transmembrane glycoprotein of + +225 +00:18:53,220 --> 00:18:56,060 +approximate molecular weight 43 kilo dalton + +226 +00:18:56,060 --> 00:19:03,380 +وبيسموها alpha or habit chainيعني تسمى كـ Alpha + +227 +00:19:03,380 --> 00:19:07,720 +مرهبة شيء وهو مجموعة من ثلاث مواقع إكتساسترالية + +228 +00:19:07,720 --> 00:19:11,700 +Alpha 1, Alpha 2 وAlpha 3 Beta 2 ميكرو بولابلين + +229 +00:19:11,700 --> 00:19:16,880 +مشاركة مقابلًا كما قلنا مع MSC Class I موليكيول + +230 +00:19:16,880 --> 00:19:24,140 +ومشاركة بمجلد كرمزوم أخر تمامًا مجلد جين على مجلد + +231 +00:19:24,140 --> 00:19:30,250 +كرمزوم أخر يشبه مواقع ميكرو بولابلينأنا مجلد من + +232 +00:19:30,250 --> 00:19:34,290 +عائلة الـ Superminoglobulin من عائلة الـ + +233 +00:19:34,290 --> 00:19:35,490 +Superminoglobulin من عائلة الـ Superminoglobulin + +234 +00:19:35,490 --> 00:19:39,170 +من عائلة الـ Superminoglobulin من عائلة الـ + +235 +00:19:39,170 --> 00:19:39,950 +Superminoglobulin من عائلة الـ Superminoglobulin + +236 +00:19:39,950 --> 00:19:40,290 +من عائلة الـ Superminoglobulin من عائلة الـ + +237 +00:19:40,290 --> 00:19:40,970 +Superminoglobulin من عائلة الـ Superminoglobulin + +238 +00:19:40,970 --> 00:19:40,970 +من عائلة الـ Superminoglobulin من عائلة الـ + +239 +00:19:40,970 --> 00:19:40,970 +Superminoglobulin من عائلة الـ Superminoglobulin + +240 +00:19:40,970 --> 00:19:40,970 +من عائلة الـ Superminoglobulin من عائلة الـ + +241 +00:19:40,970 --> 00:19:41,130 +Superminoglobulin من عائلة الـ Superminoglobulin + +242 +00:19:41,130 --> 00:19:41,130 +من عائلة الـ Superminoglobulin من عائلة الـ + +243 +00:19:41,130 --> 00:19:45,070 +Superminoglobulin من عائلة الـ Superminoglobulin + +244 +00:19:45,070 --> 00:19:49,290 +من عائلة الـ + +245 +00:19:49,290 --> 00:19:56,310 +Superminoglobulin من عائلة الـ Superminoglo + +246 +00:19:59,140 --> 00:20:02,680 +في Alpha 1 Alpha 2 الـ Variable Region وين موجودة؟ + +247 +00:20:02,680 --> 00:20:08,420 +في Alpha 1 Alpha 2 الـ Individual Class I Molecule + +248 +00:20:08,420 --> 00:20:14,120 +can be divided into non-polymorphic يعني or + +249 +00:20:14,120 --> 00:20:19,340 +invariant region which is similar in all Class I + +250 +00:20:19,340 --> 00:20:26,000 +allelic form طبيعي جدا متشابهةأو مستوى مستوى مستوى + +251 +00:20:26,000 --> 00:20:39,480 +مستوى مستوى مستوى مستوى مستوى مستوى + +252 +00:20:39,480 --> 00:20:44,900 +مستوى مستوى مستوى + +253 +00:20:47,900 --> 00:20:53,760 +والـ Variability بتحددها CD8 بيرتبط بالـ invariant + +254 +00:20:53,760 --> 00:20:57,280 +region يعني في ال constant region of a machine + +255 +00:20:57,280 --> 00:21:06,660 +class 1 ملكي CD8 Allelic specific pocket في عندنا + +256 +00:21:06,660 --> 00:21:11,740 +groove or pocket ماشي Determine which peptide + +257 +00:21:11,740 --> 00:21:16,800 +binds to a particular allelic formThis pocket also + +258 +00:21:16,800 --> 00:21:21,080 +helps secure the peptide بما أنها على شكل groove + +259 +00:21:21,080 --> 00:21:27,820 +or pocket هي بتحافظ على اللي هو وجود ال peptide + +260 +00:21:27,820 --> 00:21:37,200 +ماشي آمن في هذا الجيب أو ال pocket in position + +261 +00:21:37,200 --> 00:21:40,760 +which can be recognized by a specific TCA بيتثبت + +262 +00:21:40,760 --> 00:21:48,160 +بطريقة مثلية بحيث أنه تتعرف عليهالـTCR بسهولة ونمت + +263 +00:21:48,160 --> 00:21:51,320 +الـC موليكيول يتعامل مع عدد كبير من البيبتايد + +264 +00:21:51,320 --> 00:22:03,120 +طبيعي جدا ومع سيكوانات مختلفة استكشف + +265 +00:22:03,120 --> 00:22:09,160 +ونمت الـC2 موليكيول على نفس النمط ونمت الـC2 برضه + +266 +00:22:09,160 --> 00:22:12,160 +Alpha و Beta code for chain of approximate + +267 +00:22:12,160 --> 00:22:16,090 +molecular weightوهي مثل الـ Class I ، هم مجتمعين + +268 +00:22:16,090 --> 00:22:18,370 +متعاملين بالـ Glycogrutin ومجتمعين متعاملين بالـ + +269 +00:22:18,370 --> 00:22:19,690 +Cytoplasmic Tool ومجتمعين متعاملين بالـ + +270 +00:22:19,690 --> 00:22:24,310 +Extracellular Aminoglobulin ومجموعاتهم Alpha-1 + +271 +00:22:24,310 --> 00:22:28,230 +وAlpha-2 وBeta-1 وBeta-2 المجموعات MSC Class II هي + +272 +00:22:28,230 --> 00:22:30,530 +مجموعة من مجموعات الجنس المتعامل بالأمينoglobulin + +273 +00:22:30,530 --> 00:22:36,090 +ومجموعة MSC Class II هي مجموعة من المجموعات + +274 +00:22:36,090 --> 00:22:37,050 +المتعاملين بالأمينoglobulin ومجموعة MSC Class II + +275 +00:22:37,050 --> 00:22:37,570 +هي مجموعة من المجموعات المتعاملين بالأمينoglobulin + +276 +00:22:37,570 --> 00:22:41,890 +ومجموعة MSC Class II هي مجموعة من المجموعةالـ T + +277 +00:22:41,890 --> 00:22:46,370 +cell molecule CD4 يرتبط بالـ constant H بالـ + +278 +00:22:46,370 --> 00:22:49,970 +invariant portion يعني بالـ constant region of MHC + +279 +00:22:49,970 --> 00:22:57,830 +class 2 مليكيول الجروز هنا هو عبارة عن اللي هو + +280 +00:22:57,830 --> 00:23:03,590 +orcleft it's structurally analogous to the MHC + +281 +00:23:03,590 --> 00:23:09,380 +class 1 مليكيول لكن هناالكليفت بيكون أكبر .. open + +282 +00:23:09,380 --> 00:23:14,620 +وبالتالي بيستطيه انه يرتبط بحجم أكبر من ال بيبتايد + +283 +00:23:14,620 --> 00:23:21,320 +البروتين الأكساجينيين هم الانتجين هم أخذوه من جسد + +284 +00:23:21,320 --> 00:23:22,920 +البروتين الانتجينيين الابتسامات البروتين + +285 +00:23:22,920 --> 00:23:24,140 +الابتسامات البروتين الابتسامات البروتين الابتسامات + +286 +00:23:24,140 --> 00:23:27,580 +البروتين الابتسامات البروتين الابتسامات البروتين + +287 +00:23:27,580 --> 00:23:27,840 +الابتسامات البروتين الابتسامات البروتين الابتسامات + +288 +00:23:27,840 --> 00:23:28,020 +البروتين الابتسامات البروتين الابتسامات البروتين + +289 +00:23:28,020 --> 00:23:31,840 +الابتسامات البروتين الابتسامات البروتين الابتسامات + +290 +00:23:31,840 --> 00:23:36,540 +البروتهذه الرابطة اللي بيبتعد أو هذا ال complex + +291 +00:23:36,540 --> 00:23:43,020 +بيبتعد MSC class 2 complex بينتقل إلى cell surface + +292 +00:23:43,020 --> 00:23:50,160 +و هناك بيرتبط بيتقدم لل TCR و TCR بتعرف عليه و ال + +293 +00:23:50,160 --> 00:23:55,740 +exogenous بيتقدم لل CD4 T lymphocyte و CD4 أيضا + +294 +00:23:55,740 --> 00:24:02,830 +بترتبط فيههذا هو عملية الـ Antigen Processing and + +295 +00:24:02,830 --> 00:24:06,050 +Presentation الـ Processing هو عملية التشريف أو + +296 +00:24:06,050 --> 00:24:09,770 +التقطيع للـ Antigen والـ Presentation عملية تقديمه + +297 +00:24:09,770 --> 00:24:14,190 +لمين التليمفوسايتس أي Exogenous Antigen مثل الـ + +298 +00:24:14,190 --> 00:24:21,390 +Virus Protein أو في مجال مجال مجال مجال مجال مجال + +299 +00:24:21,390 --> 00:24:21,550 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +300 +00:24:21,550 --> 00:24:21,570 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +301 +00:24:21,570 --> 00:24:21,790 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +302 +00:24:21,790 --> 00:24:22,010 +مجال مجال مجال مجال مجال مجال مجال مجال مجال مجال + +303 +00:24:22,010 --> 00:24:25,650 +مجال مجال مجال مجال مجال + +304 +00:24:27,520 --> 00:24:38,280 +ماشي ذهب بعد ذلك الى اللى هو ال mhc molecule او ال + +305 +00:24:38,280 --> 00:24:42,600 +endoplasmic reticulum ايه ذهب هنا ال endoplasmic + +306 +00:24:42,600 --> 00:24:53,520 +reticulum مرة ثانية هى الفيروس اتاخد و اتقطع و دخل + +307 +00:24:53,520 --> 00:25:00,490 +in ايه physical دخل in ايهوهي عبارة عن asidic + +308 +00:25:00,490 --> 00:25:07,410 +vesicle في مكان آخر في الخلية في ال endoplasmic + +309 +00:25:07,410 --> 00:25:12,070 +reticulum يتم تصنيع اللي هو الامة C class 2 في ال + +310 +00:25:12,070 --> 00:25:15,110 +endoplasmic reticulum ثم ينتقل إلى الجولجي أبراطوس + +311 +00:25:15,110 --> 00:25:23,350 +وينتقل مرتبط بأنتيجين اسمه CG474 + +312 +00:25:24,960 --> 00:25:34,100 +ماشى او 74 او بين جسين ال I طبعا بطلع من الجولجي + +313 +00:25:34,100 --> 00:25:41,120 +ابراطوس على ال cytosol و بطلع هنا vesicle و في + +314 +00:25:41,120 --> 00:25:48,620 +داخل ال vesicle هذا بيتقطع CD4074 و بيبقى لنا جزء + +315 +00:25:48,620 --> 00:25:53,040 +بسيط منه اسمه clip ماشى + +316 +00:25:55,350 --> 00:26:00,830 +هذا الجزء البسيط بطريقة مرتبطة لما تكون موليكيوه + +317 +00:26:00,830 --> 00:26:04,330 +انها physical طبعا في الـ cytosol حركة الخلية + +318 +00:26:04,330 --> 00:26:09,850 +الدائمة تجعل الـ two physical to be what؟ to be + +319 +00:26:09,850 --> 00:26:15,770 +fused together و يتكونوا ايه؟ انهم يصبحوا انها + +320 +00:26:15,770 --> 00:26:19,770 +physical واحدة لما تكون class two والانتجن يصبح + +321 +00:26:19,770 --> 00:26:22,970 +انها physicalطبعا في هذه الحالة بيصير في exchange + +322 +00:26:22,970 --> 00:26:26,650 +بين ال clip و ال antigen فبيجي ال antigen و بيقعد + +323 +00:26:26,650 --> 00:26:33,570 +محل ال clip و بيطلع ال MHC بعد هيك على سطح الخلية + +324 +00:26:33,570 --> 00:26:40,010 +مرتبط بيهش MHC class 2 molecule هذا ال pathway تبع + +325 +00:26:40,010 --> 00:26:40,690 +ال exogenous + +326 +00:26:43,610 --> 00:26:47,170 +أيو The response of CD4-T cell is referred to as + +327 +00:26:47,170 --> 00:26:50,570 +restricted by MHC class 2 molecule طبيعي جدا في + +328 +00:26:50,570 --> 00:26:54,930 +MHC restriction ما احنا قلنا في الـ T cell + +329 +00:26:54,930 --> 00:27:00,090 +activation شرحنا ان في لما تدخل تلينفوسايت الثايمس + +330 +00:27:00,090 --> 00:27:05,250 +و بتتطور في الثايمس تتعرض الى امتحانين امتحان + +331 +00:27:05,250 --> 00:27:11,410 +الأولان بتطلع منه شاطرة و بتعرف فقط + +332 +00:27:12,400 --> 00:27:18,280 +تتعامل مع الـ MHC اللي شافته يعني مستقبلا لم + +333 +00:27:18,280 --> 00:27:23,480 +تتعامل مع Foreign MHC molecule فقط هتتعرف على الـ + +334 +00:27:23,480 --> 00:27:31,940 +MHC اللي شافته فيه أثناء تعليمها وبالتالي سمينا + +335 +00:27:31,940 --> 00:27:38,760 +هذه الظاهرة MHC Restricted Phenomena أو + +336 +00:27:38,760 --> 00:27:43,280 +بيسموها Self MHC Class II Moleculeأما الـ + +337 +00:27:43,280 --> 00:27:45,260 +Exogenous Antigen يمكن أن يتم تجريبه من الـ + +338 +00:27:45,260 --> 00:27:49,760 +Pathogen مثل البكتيريا أو الفيروسات أو من البروتين + +339 +00:27:49,760 --> 00:27:55,000 +الخارجي مثل الـ S-Vaccine التي لا تؤذي المستخدم بل + +340 +00:27:55,000 --> 00:28:01,700 +تفعيل تجارب الإيميون طبعا شفنا هذا في الفيجور 8.5 + +341 +00:28:01,700 --> 00:28:06,760 +يظهر التجارب ومعرفة تجارب الـ Exogenous Antigen + +342 +00:28:06,760 --> 00:28:12,690 +بشكل طبيعي بروتين انجكتكمبونات من الفيروس + +343 +00:28:12,690 --> 00:28:17,950 +الانكتروني او الانكتروني الفيروس البروتين مدخل + +344 +00:28:17,950 --> 00:28:23,230 +بشكل فيزيكي انترالي يدخل في شكل فيزيكي انترالي + +345 +00:28:23,230 --> 00:28:25,810 +يدخل في شكل فيزيكي انترالي يدخل في شكل فيزيكي + +346 +00:28:25,810 --> 00:28:25,830 +انترالي يدخل في شكل فيزيكي انترالي يدخل في شكل + +347 +00:28:25,830 --> 00:28:28,790 +فيزيكي انترالي يدخل في شكل فيزيكي انترالي يدخل في + +348 +00:28:28,790 --> 00:28:30,390 +شكل فيزيكي انترالي يدخل في شكل فيزيكي انترالي يدخل + +349 +00:28:30,390 --> 00:28:34,630 +في شكل فيزيكي انترالي يدخل في شكل فيزيكي انترالي + +350 +00:28:34,630 --> 00:28:39,050 +يدخلThis physical تحتوي على مجموعة من + +351 +00:28:39,050 --> 00:28:42,350 +البروتيولاتيك انزاين البروتيهيزي نوز أثكا ثابسين + +352 +00:28:42,350 --> 00:28:45,710 +ووظيفتها + +353 +00:28:45,710 --> 00:28:49,970 +انها تقلل البياتشت وبالتالي بيصير في عملية تقطيع + +354 +00:28:49,970 --> 00:28:59,030 +ايضا للبروتين into بيبتايت بعد هي كلامات class II + +355 +00:28:59,030 --> 00:29:03,130 +موليكيول Alpha Beta اللي بتصنع individually في ال + +356 +00:29:03,130 --> 00:29:10,100 +endoplasmic reticulumCD74 مرتبط مع CD4T74 انفرادات + +357 +00:29:10,100 --> 00:29:14,100 +انفرادات انفرادات انفرادات انفرادات انفرادات + +358 +00:29:14,100 --> 00:29:18,900 +انفرادات انفرادات انفرادات انفرادات انفرادات + +359 +00:29:18,900 --> 00:29:18,900 +انفرادات انفرادات انفرادات انفرادات انفرادات + +360 +00:29:18,900 --> 00:29:18,900 +انفرادات انفرادات انفرادات انفرادات انفرادات + +361 +00:29:18,900 --> 00:29:19,720 +انفرادات انفرادات انفرادات انفرادات انفرادات + +362 +00:29:19,720 --> 00:29:19,840 +انفرادات انفرادات انفرادات انفرادات انفرادات + +363 +00:29:19,840 --> 00:29:19,840 +انفرادات انفرادات انفرادات انفرادات انفرادات + +364 +00:29:19,840 --> 00:29:24,480 +انفرادات انفرادات انفرادات انفرادات انفرادات + +365 +00:29:24,480 --> 00:29:31,260 +انفرادات انفر + +366 +00:29:34,400 --> 00:29:38,640 +وبالتالي الـ MSC تترك اندولازميكستيكولان لجهاز + +367 +00:29:38,640 --> 00:29:42,880 +البراتوز الجالجي ومن هنا تتعامل بالطريقة + +368 +00:29:42,880 --> 00:29:48,520 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +369 +00:29:48,520 --> 00:29:49,940 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +370 +00:29:49,940 --> 00:29:50,860 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +371 +00:29:50,860 --> 00:29:51,960 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +372 +00:29:51,960 --> 00:29:53,740 +الاندوستيكية الاندوستيكية الاسودية تتعامل بالطريقة + +373 +00:29:53,740 --> 00:29:57,580 +الاندوستيكية + +374 +00:29:57,580 --> 00:30:01,380 +الاندوستيكية الاسودية تتعامل بالطريقة + +375 +00:30:04,620 --> 00:30:10,620 +بتتم على مراحل تتكسّر، تترك الفرق المعروف كـ Clp + +376 +00:30:10,620 --> 00:30:15,240 +Clp إختصار لـ Class II associated invariant + +377 +00:30:15,240 --> 00:30:20,240 +polypeptide Clp إختصار لـ Class II associated + +378 +00:30:20,240 --> 00:30:25,400 +invariant polypeptide ترتبط بالـ MSC Class II + +379 +00:30:25,400 --> 00:30:29,140 +group للـ physical containing MSC Class II + +380 +00:30:29,140 --> 00:30:34,000 +molecule bound to Clpبعد ذلك بيصل لها fusion with + +381 +00:30:34,000 --> 00:30:36,760 +the acid vesicle اللي بتحتوي على الانتيجن أو الـ + +382 +00:30:36,760 --> 00:30:39,640 +peptide-derived from the catabolism of exogenous + +383 +00:30:39,640 --> 00:30:46,120 +antigen وفي هذا المكان موليكيول non-HLADM بيعمل + +384 +00:30:46,120 --> 00:30:52,680 +عملية catalysis للـ peptide و exchange و exchange + +385 +00:30:52,680 --> 00:30:57,840 +يعني بيشيل اللي هو ال clip و بيحط منه الـ + +386 +00:30:57,840 --> 00:31:01,840 +antigenic peptideاللي جاية من الـ Exogenous + +387 +00:31:01,840 --> 00:31:07,220 +Antigen. الـ Endogenous Protein, generally derived + +388 +00:31:07,220 --> 00:31:11,220 +from infectious pathogen, come from within cells + +389 +00:31:11,220 --> 00:31:14,640 +and are processed to peptide inside the cell، وهنا + +390 +00:31:14,640 --> 00:31:17,680 +جيت، هنشوف الميكانيزم، peptide derived from this + +391 +00:31:17,680 --> 00:31:21,640 +protein interact with MSC Class I molecule. يعني + +392 +00:31:21,640 --> 00:31:26,210 +الـ Endogenous A Proteinاللي بيتولد في داخل + +393 +00:31:26,210 --> 00:31:32,530 +الخلية، بتقطيعه، ثم بيدخل في الـ cytosol، ثم بيدخل + +394 +00:31:32,530 --> 00:31:36,890 +إلى الـ endoplasmic reticulum اللي بيصنع النمين + +395 +00:31:36,890 --> 00:31:39,650 +لما تشي Clash 1 موليكيوم، و هناك بيرتبط فيه + +396 +00:31:39,650 --> 00:31:45,330 +المشروط. وده هي الحكاية. أيوة، فيروس + +397 +00:31:53,960 --> 00:31:59,420 +ماشي دخل صار فى synthesis of viral protein فصار فى + +398 +00:31:59,420 --> 00:32:06,040 +أن ال protein تكون طبعا بيتلقفوا بروتيوزوم و + +399 +00:32:06,040 --> 00:32:10,320 +البروتيوزوم بيشكفوا إلى قطع صغيرة من 8 إلى 15 + +400 +00:32:10,320 --> 00:32:16,760 +amino acids طبعا بعد هيك بيدخل ال antigen أو ال + +401 +00:32:16,760 --> 00:32:20,680 +antigenic peptide إلى ال endoplasmic reticulumفي + +402 +00:32:20,680 --> 00:32:23,700 +الـ Endoplasmic reticulum ده يتم تصنيع لـ MSC + +403 +00:32:23,700 --> 00:32:28,660 +Class I ماشي و الـ Beta 2-Microglobulin بعد هيك + +404 +00:32:28,660 --> 00:32:33,740 +بتصنع لـ MSC Class I بعد هيك بيرتبط مباشرة بالـ + +405 +00:32:33,740 --> 00:32:37,000 +Antigenic peptide بعد هيك بيطلع على الجلجي أبراطس + +406 +00:32:37,000 --> 00:32:40,420 +و بالجلجي أبراطس على ال cell surface membrane + +407 +00:32:40,420 --> 00:32:45,800 +مرتبط مين؟ بال MSC Class I الملكي اللي بتقدم لمين؟ + +408 +00:32:45,800 --> 00:32:46,720 +لـ CD8 + +409 +00:32:50,850 --> 00:32:54,330 +المبتعد MSC Class I Complex is transported to the + +410 +00:32:54,330 --> 00:32:58,050 +cell surface نفس الحق اللي توشر أحتوى ده هو Where + +411 +00:32:58,050 --> 00:33:01,270 +it interacts with the T lymphocyte receptor اللي + +412 +00:33:01,270 --> 00:33:05,910 +على سطحها CD8 The response of CD8 positive T cell + +413 +00:33:05,910 --> 00:33:09,730 +is referred to as restricted by MSC Class I + +414 +00:33:09,730 --> 00:33:13,690 +molecule أما يسمى بالسلف MSC Class I molecule + +415 +00:33:15,440 --> 00:33:18,760 +الخليمات الـ MHC Class-I موجودة في جميع جسم + +416 +00:33:18,760 --> 00:33:22,820 +النوكليات الاندوجيني + +417 +00:33:22,820 --> 00:33:28,290 +يمكن أن تحدث في أي خليم من خلايا جسم الإنسانبسبب + +418 +00:33:28,290 --> 00:33:33,230 +أن البيتوجين يمكن أن يشبه أي سلب في الجسم CD8 T + +419 +00:33:33,230 --> 00:33:40,150 +-cell can-scan يعني لما تتجول أومينج فنومينا تبحث + +420 +00:33:40,150 --> 00:33:44,490 +عن امات C Class I موليكيول Peptide and Peptide + +421 +00:33:44,490 --> 00:33:50,310 +combination طبعا موجودين على اي نيكلياتد سل و هناك + +422 +00:33:50,310 --> 00:33:58,350 +بتعرف عليهم و ممكن يصير ايش ارتباطعن طريق الـ 9.1 + +423 +00:33:58,350 --> 00:34:02,050 +في الـ comparison بين لما الـ C class 1 و2 هرجتها + +424 +00:34:02,050 --> 00:34:06,330 +نشوفه proteins from bacteria, virus, allergen, or + +425 +00:34:06,330 --> 00:34:12,590 +harmless antigen may يقدموا ل CD4-T lymphocytes + +426 +00:34:12,590 --> 00:34:18,310 +بينما pathogen infected cell زي بكتيريا الفيروس + +427 +00:34:18,310 --> 00:34:23,800 +create Epitopes في الداخلهابالنسبة لـ CD8-T + +428 +00:34:23,800 --> 00:34:26,480 +-Lymphocyte برنامج الوصول إلى CD8-T-Lymphocyte + +429 +00:34:26,480 --> 00:34:27,000 +برنامج الوصول إلى CD8-T-Lymphocyte برنامج الوصول + +430 +00:34:27,000 --> 00:34:29,120 +إلى CD8-T-Lymphocyte برنامج الوصول إلى CD8-T + +431 +00:34:29,120 --> 00:34:29,860 +-Lymphocyte برنامج الوصول إلى CD8-T-Lymphocyte + +432 +00:34:29,860 --> 00:34:31,320 +برنامج الوصول إلى CD8-T-Lymphocyte برنامج الوصول + +433 +00:34:31,320 --> 00:34:32,600 +إلى CD8-T-Lymphocyte برنامج الوصول إلى CD8-T + +434 +00:34:32,600 --> 00:34:35,500 +-Lymphocyte برنامج الوصول إلى CD8-T-Lymphocyte + +435 +00:34:35,500 --> 00:34:41,300 +برنامج الوصول إلى CD8-T-Lymphocyte برنامج الوصول + +436 +00:34:41,300 --> 00:34:49,480 +إلى CD8-T-Lymphocy + +437 +00:34:51,330 --> 00:34:54,630 +إن الـ Antigen اتقدم لـ CD4 أو CD8 هو طبيعة الـ + +438 +00:34:54,630 --> 00:34:59,050 +Antigen إذا كان Indigenous أو Exogenous طبعا بعض + +439 +00:34:59,050 --> 00:35:02,330 +المرات بيحصل في cross-presentation pathway cross + +440 +00:35:02,330 --> 00:35:05,390 +-presentation يعني يعني بيكون Exogenous الـ + +441 +00:35:05,390 --> 00:35:09,450 +Antigen اتقدم لمين؟ لـ CD8 اتبط ب class I موليكيل + +442 +00:35:09,450 --> 00:35:13,290 +و اتقدم لمين؟ لـ CD8 و بيسمو هذه الظاهرة cross + +443 +00:35:13,290 --> 00:35:18,590 +-presentation pathway Super Antigen هي عبارة عن + +444 +00:35:18,590 --> 00:35:23,370 +أنتجنات كبيرةنص دي ايه بره انتكسن و احسن مثال + +445 +00:35:23,370 --> 00:35:27,990 +الهستافورياس انتيلوتوكسن بيرتبط بال MSC class 2 + +446 +00:35:27,990 --> 00:35:32,630 +موليكيول بدون ما يصير له processing و ال super + +447 +00:35:32,630 --> 00:35:37,050 +antigen بيرتبط من برا لبرا بال ash بال MSC class 2 + +448 +00:35:37,050 --> 00:35:45,310 +موليكيول و بالتالي بربط ال MSC مع ال TCR من برا + +449 +00:35:45,310 --> 00:35:49,110 +لبرا ماشي + +450 +00:35:50,780 --> 00:35:53,820 +بتبط من خلال الـ Grom ومن خلال الـ VB Variable + +451 +00:35:53,820 --> 00:35:59,000 +Beta Region of TCR Superantigen يوم ما يكون فيه + +452 +00:35:59,000 --> 00:36:02,400 +Superantigen بنشط حوالي عشرة فلمية من ال total + +453 +00:36:02,400 --> 00:36:06,840 +number of air individual T-lymphocyte وده بيؤدي + +454 +00:36:06,840 --> 00:36:10,860 +لapoptosis وكميات كبيرة لما يصير shutting down لل + +455 +00:36:10,860 --> 00:36:14,610 +immune responseactivation of manatee cell have + +456 +00:36:14,610 --> 00:36:19,050 +clinical consequences هذا الموضوع مش سهل وبالتالي + +457 +00:36:19,050 --> 00:36:23,010 +من its side effect بتبعته هو انه مسئول على shock + +458 +00:36:23,010 --> 00:36:28,770 +like syndrome وبعمل toxic shock عند أيش؟ عند + +459 +00:36:28,770 --> 00:36:35,590 +المريض inability to respond to an antigen ليش بعض + +460 +00:36:35,590 --> 00:36:41,610 +المرات بيكون في أيش؟بيكون اللي هو عدم القدرة for a + +461 +00:36:41,610 --> 00:36:45,630 +response for a new response to respond against + +462 +00:36:45,630 --> 00:36:52,890 +antigen وببساطة افسركم او اجملكم هذه ال slide يوم + +463 +00:36:52,890 --> 00:37:02,770 +ال MC ملكيوليكم مرتبط ب self-antigen اللي + +464 +00:37:02,770 --> 00:37:06,960 +لو اتقدم ل T lymphocyteالـ T-Lymphocyte لا تتنشط + +465 +00:37:06,960 --> 00:37:09,840 +والسبب في ذلك انه ما بيصير فيه expression + +466 +00:37:09,840 --> 00:37:14,880 +لcostimulator احنا بنعرف انه بيكون فيه عشان تتنشط + +467 +00:37:14,880 --> 00:37:18,280 +الـ T-Lymphocyte بيحتوه signal واحدة اللي هو + +468 +00:37:18,280 --> 00:37:22,780 +الأرتباط والتانية formation of costimulation مافيش + +469 +00:37:22,780 --> 00:37:25,940 +costimulation معناته في energized cell معناته + +470 +00:37:25,940 --> 00:37:32,230 +الخلية لا تتنشط لا تتنشطلكن إذا كان الخلية أو الـ + +471 +00:37:32,230 --> 00:37:38,110 +MSC مرتبطة بفرن أنتجين بيتكوّن عادةً الـ Co + +472 +00:37:38,110 --> 00:37:44,270 +-Stimulation Signal وبالتالي بيحصل فيه Response + +473 +00:37:44,270 --> 00:37:47,610 +Exposure + +474 +00:37:47,610 --> 00:37:51,050 +to فرن أنتجين دوة Induced Tissue Damage والـ + +475 +00:37:51,050 --> 00:37:56,290 +Tissue Damage بيسموها Danger Hypothesis and the + +476 +00:37:56,290 --> 00:38:02,230 +Danger Signal Activate T Cellهذه نظرية تشرح لماذا + +477 +00:38:02,230 --> 00:38:07,650 +تلينفوسايت تتفاعل مع أنتجين غير مجرد موليكيوليات + +478 +00:38:07,650 --> 00:38:14,450 +نفسها يعني أن جوسين تتكوّن في حيبوتسيس خطر تتولد + +479 +00:38:14,450 --> 00:38:19,630 +إشعار خطر وسببها أن هناك تسيو دامج هناك إشعار تسيو + +480 +00:38:19,630 --> 00:38:23,810 +دامج طبعا في هذا الحالة يحدث كوستيميليشن ورسبونتيك + +481 +00:38:31,270 --> 00:38:37,950 +لأن بعض أنواع الـ T-lymphocyte كانت موجودة على + +482 +00:38:37,950 --> 00:38:41,510 +كل الـ cell wall أو الـ pathogen مثل الـ + +483 +00:38:41,510 --> 00:38:45,430 +Mycobacterium tuberculosis اللي متعيش في داخل الـ + +484 +00:38:45,430 --> 00:38:51,850 +macrophage هذه الموليكيوه مواجهة بـ CD1 اللي عبارة + +485 +00:38:51,850 --> 00:38:56,970 +عن CD1A وCD1D وهذا بصير طبعا expressed by antigen + +486 +00:38:56,970 --> 00:38:59,190 +presenting cell مثل الـ macrophage و الـ dendritic + +487 +00:38:59,190 --> 00:38:59,470 +cell + +488 +00:39:03,530 --> 00:39:07,270 +CD1 موليكيول موجودة على الـ Cell Surface of + +489 +00:39:07,270 --> 00:39:07,330 +Antigen-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +490 +00:39:07,330 --> 00:39:11,370 +-Microviral.موجودة على الـ Cell Surface of Antigen + +491 +00:39:11,370 --> 00:39:14,170 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +492 +00:39:14,170 --> 00:39:17,330 +-Microviral.موجودة على الـ Cell Surface of Antigen + +493 +00:39:17,330 --> 00:39:17,550 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +494 +00:39:17,550 --> 00:39:20,430 +-Microviral.موجودة على الـ Cell Surface of Antigen + +495 +00:39:20,430 --> 00:39:25,410 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +496 +00:39:25,410 --> 00:39:28,110 +-Microviral.موجودة على الـ Cell Surface of Antigen + +497 +00:39:28,110 --> 00:39:29,410 +-Presenting Cell أيضًا مرتبطة بـMethyl-2 + +498 +00:39:29,410 --> 00:39:32,750 +-Microviral.موجودة على الـ Cell Surface of Antigen + +499 +00:39:32,750 --> 00:39:35,870 +-Presenting Cell أيضًا مرتبطةطبعاً الـ poorer + +500 +00:39:35,870 --> 00:39:46,610 +region of lipid بترتبط بالـ TCR التباطء الـ lipid + +501 +00:39:46,610 --> 00:39:51,250 +antigen to CD1 is believed to take a place in + +502 +00:39:51,250 --> 00:39:54,730 +acidic cellular compartment زي ما بيحصل في loading + +503 +00:39:54,730 --> 00:39:59,230 +للـ exogenous peptide with MSC class II molecule + +504 +00:40:00,700 --> 00:40:09,160 +CD1A, B, and C present limit to T cell that use an + +505 +00:40:09,160 --> 00:40:17,220 +alpha beta TCR لكن CD1D يعني A وB وC بيقدموا تلك + +506 +00:40:17,220 --> 00:40:21,760 +ال TCR لكن CD1D present limit and like of limit to + +507 +00:40:21,760 --> 00:40:24,300 +NK T cell + +508 +00:40:29,220 --> 00:40:33,980 +طبعا هي TCR هى + +509 +00:40:33,980 --> 00:40:39,240 +ال non polar في الداخل و ال polar برا طبعا ال non + +510 +00:40:39,240 --> 00:40:46,560 +polar هي تقدم لمين؟ ل ال CD1 طبعا زى ما انتوا + +511 +00:40:46,560 --> 00:40:49,620 +شايفين resembling مين؟ resembling اللى هو class + +512 +00:40:49,620 --> 00:40:53,840 +one molecule مرتبطة ب beta 2 microglobulin و ال + +513 +00:40:53,840 --> 00:41:07,690 +polar بيكون باتجاه ايش؟باتجاه MHC Class 2 CD1 + +514 +00:41:07,690 --> 00:41:16,370 +هو Class 1 و Polar بتجاه TCR TCR + +515 +00:41:16,370 --> 00:41:22,310 +Alpha Beta Super Antigen من برا لورا بشبك MHC + +516 +00:41:22,310 --> 00:41:27,640 +Moleculeوهذه الـ Comparison بين MSC Class I وClass + +517 +00:41:27,640 --> 00:41:35,640 +II وطبعا كل النقاط اللي احنا حكينا فيها و MSC and + +518 +00:41:35,640 --> 00:41:40,700 +immune response طبعا هنا احنا الكلام اللي حكيناه + +519 +00:41:40,700 --> 00:41:43,900 +بس خلينا نعيده مرة تانية نعرف ان ال MSC molecule + +520 +00:41:43,900 --> 00:41:47,380 +play a critical role in response of T lymphocytes + +521 +00:41:47,380 --> 00:41:56,120 +في داخل ال human body طبعا برتبط ببيبتاعد من + +522 +00:41:56,120 --> 00:42:01,140 +البروتين وبيقدم هذا ال بيبتاعد لل تي لينفوسايتس + +523 +00:42:01,140 --> 00:42:04,160 +without preparate receptor وبالتالي ال T cell + +524 +00:42:04,160 --> 00:42:09,240 +response are said to be MSC restricted MSC + +525 +00:42:09,240 --> 00:42:20,240 +restricted فنومينا هي مرة تانية هي ان ال ال ال TCR + +526 +00:42:20,240 --> 00:42:22,600 +TCR + +527 +00:42:23,360 --> 00:42:30,400 +لما يجي يرتبط بالانتيجم لن يرتبط إلا من خلال ال + +528 +00:42:30,400 --> 00:42:35,860 +self MHC molecule MHC code for two majors category + +529 +00:42:35,860 --> 00:42:43,700 +class 1 و class 2على كل الخلايا بينما كلاس تنين + +530 +00:42:43,700 --> 00:42:47,560 +موجودين على ال antigen presenting cell expression + +531 +00:42:47,560 --> 00:42:51,180 +of MSC molecule is inducible لبعض ال cytokine + +532 +00:42:51,180 --> 00:42:56,520 +بتطلعه لانفكشوز agents ممكن يزود الاتعام ال + +533 +00:42:56,520 --> 00:43:02,580 +upregulation له كل individualبإمكانها أن تتعامل مع + +534 +00:43:02,580 --> 00:43:04,280 +مجموعات مختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +535 +00:43:04,280 --> 00:43:07,220 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +536 +00:43:07,220 --> 00:43:12,960 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +537 +00:43:12,960 --> 00:43:16,340 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +538 +00:43:16,340 --> 00:43:16,360 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +539 +00:43:16,360 --> 00:43:16,360 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +540 +00:43:16,360 --> 00:43:20,100 +ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة ومختلفة + +541 +00:43:20,100 --> 00:43:27,420 +ومخت + +542 +00:43:28,540 --> 00:43:31,480 +من خلال واحد من الانسان الـ MSC class 1 و class 2 + +543 +00:43:31,480 --> 00:43:39,620 +موليكيولو يتعرفون على كل جسم من الجسم و يتعرفون + +544 +00:43:39,620 --> 00:43:41,580 +على كل جسم من الجسم و يتعرفون على كل جسم من الجسم + +545 +00:43:41,580 --> 00:43:45,600 +و يتعرفون على كل جسم من الجسم و يتعرفون على كل جسم + +546 +00:43:45,600 --> 00:43:45,920 +من الجسم و يتعرفون على كل جسم من الجسم و يتعرفون + +547 +00:43:45,920 --> 00:43:45,920 +على كل جسم من الجسم و يتعرفون على كل جسم من الجسم + +548 +00:43:45,920 --> 00:43:45,920 +و يتعرفون على كل جسم من الجسم و يتعرفون على كل جسم + +549 +00:43:45,920 --> 00:43:45,920 +من الجسم و يتعرفون على كل جسم من الجسم و يتعرفون + +550 +00:43:45,920 --> 00:43:45,920 +على كل جسم من الجسم و يتعرفون على كل جسم من الجسم + +551 +00:43:45,920 --> 00:43:46,500 +و يتعرفون على كل جسم من الجسم و يتعرفون على كل جسم + +552 +00:43:46,500 --> 00:43:54,300 +من الجسم و + +553 +00:43:54,300 --> 00:43:57,350 +يهي عبارة عن الـ variable فيها الـ deep groove و + +554 +00:43:57,350 --> 00:44:02,410 +اللي برتبط بالـ peptide ماشي بعد مسلو processing + +555 +00:44:02,410 --> 00:44:05,830 +ال binding of peptide to MSC molecule is selective + +556 +00:44:05,830 --> 00:44:10,070 +each MSC molecule برتبط بـ with a distinct subset + +557 +00:44:10,070 --> 00:44:15,190 +of peptide with a particular motif طبيعي جدا حسب + +558 +00:44:15,190 --> 00:44:19,330 +إيش قسمنا الانتجنات إلى اندوجنس و إكسوجنس هايوا + +559 +00:44:19,330 --> 00:44:26,660 +الإكسوجنس انتجنيتم إتباعها بـ 2 بيبتايدات في مخزن + +560 +00:44:26,660 --> 00:44:32,380 +الأسود اللي بيطبط بال MSC Class II موليكيول ثم MSC + +561 +00:44:32,380 --> 00:44:36,060 +Class II موليكيول بيبتايد كومبليكس بينتقل على + +562 +00:44:36,060 --> 00:44:41,520 +surface of the cell و بتقدم لها TCR of CD4 T cell + +563 +00:44:42,950 --> 00:44:45,830 +فهو بيصير في responding من ال TCR و بيسموه + +564 +00:44:45,830 --> 00:44:50,350 +response هو عبارة عن restricted by MSC class 2 + +565 +00:44:50,350 --> 00:44:54,990 +موليكيول أو self MSC class 2 موليكيول و الحاجة + +566 +00:44:54,990 --> 00:44:59,590 +التانية قولنا endogenous protein generally derived + +567 +00:44:59,590 --> 00:45:06,290 +from infectious pathogen و طبعا بيسله بيتكوم في + +568 +00:45:06,290 --> 00:45:11,570 +اللي هو في + +569 +00:45:11,570 --> 00:45:12,290 +ال cytosol + +570 +00:45:15,100 --> 00:45:17,780 +هو يبقى الـ peptide derived from this protein + +571 +00:45:17,780 --> 00:45:20,780 +interact with MHC class 1 molecule وبيطلع بعد ذلك + +572 +00:45:20,780 --> 00:45:27,000 +ال MHC class 1 peptide complex على سطح القلية اللي + +573 +00:45:27,000 --> 00:45:32,580 +بتقدم بعد ذلك ل CD8D-lymphocytes وهي برضه هذه + +574 +00:45:32,580 --> 00:45:39,600 +العملية بيسموها self MHC class 1 molecule since + +575 +00:45:39,600 --> 00:45:42,530 +protein are general structural complexيستخدمونه + +576 +00:45:42,530 --> 00:45:45,550 +لإيجار أقل واحدة بيبتايل قادرة على مجموعة MSC + +577 +00:45:45,550 --> 00:45:51,050 +Class I موليكيوم وهذا بيأكد على أن الـ T cell + +578 +00:45:51,050 --> 00:45:54,890 +response is made to at least some part of a + +579 +00:45:54,890 --> 00:46:00,290 +foreign proantigen لأنه لا يستطيع أن يعيش أن مرتبط + +580 +00:46:00,290 --> 00:46:05,810 +البروتين هو عبارة عن موليكيوم Complex + +581 +00:46:09,710 --> 00:46:15,630 +هو بتطلع لنا بيبتايد ترتبط بال MSC موليكيول وهذا + +582 +00:46:15,630 --> 00:46:20,650 +بيأكد على انه التفاعل بوادث MSC مع foreign antigen + +583 +00:46:20,650 --> 00:46:25,430 +ايه طبعا ان البيبتايد اللي طالعة من ال self + +584 +00:46:25,430 --> 00:46:33,730 +-antigen ايضا ترتبط بالMSC موليكيول زي ال foreign + +585 +00:46:33,730 --> 00:46:38,670 +antigen لكن ال complexأو اما السيلف الملكولي مع + +586 +00:46:38,670 --> 00:46:42,570 +السيلف الابطالي لا يدفع طبق طبيعي تفعيل تفعيل T + +587 +00:46:42,570 --> 00:46:46,250 +cell response لأن السيلف الملكولي لا يدفع طبق + +588 +00:46:46,250 --> 00:46:50,810 +طبيعي كوستيميلاتري او اتصال ثانوي لكي يدفع طبق + +589 +00:46:50,810 --> 00:46:53,770 +طبيعي تفعيل تفعيل T cell response ال T cell + +590 +00:46:53,770 --> 00:46:57,350 +response is focused on the response of foreign فقط + +591 +00:46:57,350 --> 00:47:01,150 +non self particularly component of microorganism + +592 +00:47:01,840 --> 00:47:04,740 +وهذا هو اللي بيعمل initiation أو induction + +593 +00:47:04,740 --> 00:47:08,460 +للcostimulator Susceptibility and resistance to + +594 +00:47:08,460 --> 00:47:12,640 +many diseases in humans and other species are + +595 +00:47:12,640 --> 00:47:14,700 +associated with the expression of a particular + +596 +00:47:14,700 --> 00:47:19,540 +MSGLD وجدوا ان هلأ اللي لاتهادي إليها علاقة مباشرة + +597 +00:47:19,540 --> 00:47:26,240 +ب certain diseases و بترتبط ارتباط مباشر بهذه + +598 +00:47:26,240 --> 00:47:29,480 +الأمراض cytokine synthesis is a response to an + +599 +00:47:29,480 --> 00:47:34,110 +infectious agentطبعاً certain cytokines induce + +600 +00:47:34,110 --> 00:47:36,430 +their expression or regulate their expression + +601 +00:47:36,430 --> 00:47:39,890 +وعملت C Class I المولكول وانا اعمل C Class II + +602 +00:47:39,890 --> 00:47:43,390 +المولكول طبعاً هذا بيعمل enhancement ليوم ما يزيد + +603 +00:47:43,390 --> 00:47:48,430 +ال title وعمل C Class I و2 على سطح الخلية بيؤدي + +604 +00:47:48,430 --> 00:47:51,690 +الى enhancement of immune response to pathogen + +605 +00:47:53,680 --> 00:47:57,460 +بالعكس من بعض الفيروس مثل الـ Herpes Simplex مثل + +606 +00:47:57,460 --> 00:48:01,080 +الـ Adenovirus مثل الـ Cytomycalovirus بعض الأحيان + +607 +00:48:01,080 --> 00:48:08,120 +تشتغل بروتين تتعامل بالتجارب الاندوجنس الانتجينية + +608 +00:48:08,120 --> 00:48:12,220 +ماذا تفعل في هذه الحالة؟ تفعل انهيبشن مثل الويرس + +609 +00:48:12,220 --> 00:48:16,040 +طلع بروتين يشبه الانتجن ماشي الاندوجنس الانتجن + +610 +00:48:16,040 --> 00:48:20,460 +معناته هيمسك في الـ air في الأمسي مليكيول وبالتالي + +611 +00:48:20,460 --> 00:48:25,380 +هيعمل shutdown عشانللـ immune response يعني + +612 +00:48:25,380 --> 00:48:32,860 +بيكوسين ينافس ال antigen في الارتباط بال MHC + +613 +00:48:32,860 --> 00:48:37,220 +موليكيول وطبعا في هذا الحالة هذا أحد الميكنزمات + +614 +00:48:37,220 --> 00:48:40,360 +اللي ال virus can decrease the expression of MHC + +615 +00:48:40,360 --> 00:48:44,420 +class 1 molecule and so decrease the CD8 T cell + +616 +00:48:44,420 --> 00:48:49,690 +response to that virus tumor cellأيضًا frequently + +617 +00:48:49,690 --> 00:48:52,210 +shown decrease in expression of MSC Class I ممكن + +618 +00:48:52,210 --> 00:48:58,130 +على سطحها في قلة في MSC Class I Titer مقارنة من + +619 +00:48:58,130 --> 00:49:04,770 +Normal Cell وده بيخرّمش ال potentiality of CD8 T + +620 +00:49:04,770 --> 00:49:09,710 +Cell Response although the decrease in MSC Class I + +621 +00:49:09,710 --> 00:49:14,550 +expression decreased CD8 T Cell Response it may + +622 +00:49:14,550 --> 00:49:19,510 +also act as a trigger of NKيعني إذا ما اشتغلت الـ + +623 +00:49:19,510 --> 00:49:25,070 +cytotoxic T lymphocyte كمان هذا ممكن ينشطلنا الـ + +624 +00:49:25,070 --> 00:49:29,310 +NKT cell لأن زي ما شفنا يوم ما يكون الـ NKT cell + +625 +00:49:29,310 --> 00:49:33,970 +أو الـ response is regulated by the titer of MSC + +626 +00:49:33,970 --> 00:49:37,370 +molecule ففي ال clinical cell و ال virus infected + +627 +00:49:37,370 --> 00:49:40,330 +cell لما بيقلل ال titer of MSC molecule it will be + +628 +00:49:40,330 --> 00:49:45,980 +recognized by mean by NK cellالـ Cross + +629 +00:49:45,980 --> 00:49:49,600 +-presentation هو إنها أكسوجينوس أنتجين ممكن يسموه + +630 +00:49:49,600 --> 00:49:53,340 +expression أو يرتبط presented by MIC class I + +631 +00:49:53,340 --> 00:49:57,020 +موليكيوم الانتجين presenting cell particularly + +632 +00:49:57,020 --> 00:50:01,260 +الـdendritic cell لديه طريقة مميزة يسمونها cross + +633 +00:50:01,260 --> 00:50:05,120 +-presentation لإنشاء بيبتايد من بيبتايد أكسوجينوس + +634 +00:50:05,120 --> 00:50:12,280 +بروتيم وهو بيتقدم لـ CD8-T-lymphocyte هذا الطريقة + +635 +00:50:12,280 --> 00:50:20,710 +مهمة لإنشاء CD8-T-cellللتجارب بشكل عام بشكل عام + +636 +00:50:20,710 --> 00:50:23,830 +بشكل + +637 +00:50:23,830 --> 00:50:28,490 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +638 +00:50:28,490 --> 00:50:32,270 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +639 +00:50:32,270 --> 00:50:32,270 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +640 +00:50:32,270 --> 00:50:32,350 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +641 +00:50:32,350 --> 00:50:33,330 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +642 +00:50:33,330 --> 00:50:33,330 +عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام + +643 +00:50:33,330 --> 00:50:34,010 +بشكل عام بشكل عام بشكل عام بشكل عام بشكل عام بشكل + +644 +00:50:34,010 --> 00:50:38,410 +عام بشكل عام بشكل عام بشكل + +645 +00:50:45,290 --> 00:50:51,150 +وطبعا هذه الظاهرة بتدفعنا في حالة ما يكون في بعض + +646 +00:50:51,150 --> 00:50:55,970 +ال viruses اللي ماتت بعملها processing by antigen + +647 +00:50:55,970 --> 00:51:01,770 +presenting cell او اذا في dying cell و برضه ما + +648 +00:51:01,770 --> 00:51:06,190 +بستعملها processing فبيتهاجمها + +649 +00:51:06,190 --> 00:51:11,350 +ال pair lymphocyte syndrome الناس اللي ما عندهمش + +650 +00:51:12,400 --> 00:51:17,760 +القدرة to express HLA Class I أو Class II موليكيول + +651 +00:51:17,760 --> 00:51:22,860 +أو التنين بالكونه ما يسمى Bare Lymphocyte Syndrome + +652 +00:51:22,860 --> 00:51:29,440 +والاندفيدول who do not express Class II موليكيول + +653 +00:51:29,440 --> 00:51:30,820 +have immunodeficiency + +654 +00:51:33,300 --> 00:51:36,760 +أيضا تتميز بوجود defective presentation of antigen + +655 +00:51:36,760 --> 00:51:41,740 +to CD4 and decreased number of CD4-T lymphocyte + +656 +00:51:41,740 --> 00:51:45,560 +طبعا الناس هذوله بيكون عندهم mutation in one of + +657 +00:51:45,560 --> 00:51:48,920 +the factors that control transcription of MHC + +658 +00:51:48,920 --> 00:51:52,400 +class 2 molecule gene ما بيسمله expression + +659 +00:51:52,400 --> 00:51:56,340 +وبالتالي ما بيسمله إيش ال transcription وبالتالي + +660 +00:51:56,340 --> 00:52:00,100 +ما بيسمله اللي هو expression من أصله + +661 +00:52:02,670 --> 00:52:08,010 +يعني مفيك نكون أنهينا المحاضرة نرجوا أن تكونوا قد + +662 +00:52:08,010 --> 00:52:10,550 +استمتعتم معنا و شكرا + +663 +00:52:36,160 --> 00:52:36,460 +Fire + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0.srt new file mode 100644 index 0000000000000000000000000000000000000000..f15fa7c0bec462a3652f25445733558a7143257e --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0.srt @@ -0,0 +1,1743 @@ +1 +00:00:05,480 --> 00:00:10,220 +نلتقي اليوم في محاضرة بيعنيها + +2 +00:00:10,220 --> 00:00:13,700 +biology of T cell زي ما حكينا biology of B cell + +3 +00:00:13,700 --> 00:00:19,560 +نتعرف على الـ B cell their stages of development و + +4 +00:00:19,560 --> 00:00:28,880 +how it can be formed the surface molecule and so + +5 +00:00:28,880 --> 00:00:34,350 +طبعا كنا بنعرف أنه في number of T lymphocyte + +6 +00:00:34,350 --> 00:00:37,310 +وحكينا هذه المعلومة في محاضرة سابقة أنه بيوصل + +7 +00:00:37,310 --> 00:00:41,690 +العدد إلى عشر قوة خمسة عشر .. أي من عشر قوة خمسة عشر + +8 +00:00:41,690 --> 00:00:46,470 +لعشر قوة ثمانية عشر these T lymphocytes are + +9 +00:00:46,470 --> 00:00:51,770 +different but all have the same antigen receptor + +10 +00:00:51,770 --> 00:00:56,550 +على سطحها سموا هذا الـ antigen receptor TCR T cell + +11 +00:00:56,550 --> 00:01:04,840 +receptor وبيكون هذا الـ TCR من خلال جينات بتتصفط زي ما + +12 +00:01:04,840 --> 00:01:08,080 +صار في الـ B-Lymphocytes فيه restriction enzyme و + +13 +00:01:08,080 --> 00:01:12,700 +فيه recombinase enzyme الاثنين بيشتركوا في تحريك + +14 +00:01:12,700 --> 00:01:17,160 +الجينات و تصفيتها مرة ثانية و تصنيع الـ TCR اللي + +15 +00:01:17,160 --> 00:01:20,720 +مطلوب و في كل مرة بتصفط و تصفيتها مختلفة وبالتالي + +16 +00:01:20,720 --> 00:01:25,360 +بيدونا في كل مرة TCR مختلف و بيكونوا الـ TCR + +17 +00:01:25,360 --> 00:01:29,840 +repertoire في النهاية زي ما الـ B-Lymphocyte اتكونت + +18 +00:01:29,840 --> 00:01:41,080 +لنا الـ Aminoglobulin Repertoire ال + +19 +00:01:41,080 --> 00:01:48,900 +majority of this TCR هذا الـ TCR هو عبارة عن Two + +20 +00:01:48,900 --> 00:01:54,740 +Chain Transmembrane Molecule Alpha Beta 90% من هذا + +21 +00:01:54,740 --> 00:01:58,430 +الـ TCR هو عبارة عن Alpha Beta وهي بيتكون من + +22 +00:01:58,430 --> 00:02:05,670 +Transmembrane ها يعني في جزء في داخل الخلية وزي ما + +23 +00:02:05,670 --> 00:02:11,010 +قلنا في جزء خارج الخلية ماشي و أيضا يتكون من + +24 +00:02:11,010 --> 00:02:15,930 +Variable Region و Constant Region يعني الـ Variable + +25 +00:02:15,930 --> 00:02:21,940 +Region هو برع الـ Extra Cellular Portion و يشبه الـ + +26 +00:02:21,940 --> 00:02:26,600 +fab region في الـ antibody هو اللي بيرتبط في مين في + +27 +00:02:26,600 --> 00:02:35,040 +الـ antigen from alpha beta TCR بيرتبط مع الـ + +28 +00:02:35,040 --> 00:02:39,420 +antigenic peptide اللي ممسوك بالـ MHC موليكيول + +29 +00:02:39,420 --> 00:02:44,060 +على سطح الـ host cell و بالظبط + +30 +00:02:46,940 --> 00:02:52,440 +هذه هي صورة موضحة هي عبارة عن antigen presenting + +31 +00:02:52,440 --> 00:02:56,580 +cell عبارة عن host cell على سطحها MHC موليكيول + +32 +00:02:56,580 --> 00:02:59,140 +مرتبط بالبيبتايد + +33 +00:03:00,880 --> 00:03:04,780 +وهي بيجي الـ T lymphocyte بالـ TCR تبعتها اللي زي + +34 +00:03:04,780 --> 00:03:08,040 +ما قولنا الـ Extracellular portion اللي هو عبارة + +35 +00:03:08,040 --> 00:03:11,180 +عن variable portion وبما أن طوبة بتاعي يبقى فيه + +36 +00:03:11,180 --> 00:03:15,800 +Alpha وفيه Beta هم اللي بيمسكوا فيه مين في الـ + +37 +00:03:15,800 --> 00:03:23,480 +Antigenic بتاعت الممسوقة بالـ MHC molecule أيوه وفي + +38 +00:03:23,480 --> 00:03:28,460 +عنا طبعا two types of MHC molecule class 1 و class + +39 +00:03:28,460 --> 00:03:34,360 +2 الخلايا + +40 +00:03:34,360 --> 00:03:38,860 +اللي على سطحها طبعا class 2 بتقدم الـ antigen اللي + +41 +00:03:38,860 --> 00:03:43,280 +telemphocyte بس من نوع CD4 و زي ما أنتم شايفين الـ + +42 +00:03:43,280 --> 00:03:48,760 +CD4 بتبقى مرتبطة بالـ MHC molecule والخلايا antigen + +43 +00:03:48,760 --> 00:03:52,400 +presenting cell اللي على سطحها class 1 بتقدم + +44 +00:03:52,400 --> 00:03:59,220 +الانتجن لـ CD8 و CD8 أيضا بيمسكودة في class 1 MHC + +45 +00:03:59,220 --> 00:04:04,660 +موليكيول يبقى في restriction هان class 2 بتقدم + +46 +00:04:04,660 --> 00:04:10,360 +الانتجن لـ CD4 class 1 بتقدم الانتجن لـ CD8 + +47 +00:04:20,700 --> 00:04:29,160 +موجود على سطح المتشور T-Lymphocyte CD4 و CD8 هما + +48 +00:04:29,160 --> 00:04:33,440 +يقومون بتقسيم T-cells into two subtypes Alpha Beta + +49 +00:04:33,440 --> 00:04:37,180 +CD4 و Alpha Beta CD8 The function of these + +50 +00:04:37,180 --> 00:04:44,360 +coreceptor molecules القادمة نمرة واحد بيرتبط بالـ + +51 +00:04:44,360 --> 00:04:47,060 +MHC موليكيولة على سطح الـ Antigen Presenting Cell + +52 +00:04:47,060 --> 00:04:53,340 +وظيفة الـ CD4 و CD8 نمرة واحد بيرتبط بالـ MHC + +53 +00:04:53,340 --> 00:04:56,580 +موليكيولة على سطح الـ Antigen Presenting Cell نمرة + +54 +00:04:56,580 --> 00:05:02,560 +اثنين بتقوي الـ Adherence between T Cell + +55 +00:05:02,560 --> 00:05:06,720 +and Antigen Presenting Cell هذه تقوية للرابطة اللي + +56 +00:05:06,720 --> 00:05:09,700 +حصلت نمرة ثالثة بلعب دور كبير في Signal + +57 +00:05:09,700 --> 00:05:14,640 +Transduction after activation of TCR الـ Antigen + +58 +00:05:14,640 --> 00:05:21,940 +Binding Alpha Beta Chain of TCR اللي موجودة على + +59 +00:05:21,940 --> 00:05:30,740 +سطح الـ T-cell in a multimolecular complex مرتبطة + +60 +00:05:31,560 --> 00:05:38,360 +بموليكيول بيسموها CD3 و Zeta Polypeptides و هذا الـ + +61 +00:05:38,360 --> 00:05:48,780 +structure of TCR as a whole TCR في جنبه CD3 وجنبه + +62 +00:05:48,780 --> 00:05:52,500 +Zeta Polypeptide which act as a signal + +63 +00:05:52,500 --> 00:05:55,940 +transduction unit after antigen binding to alpha + +64 +00:05:55,940 --> 00:05:59,930 +beta يبقى Alpha Beta بيمسك في الـ Antigen لكن اللي + +65 +00:05:59,930 --> 00:06:03,930 +بيعمل Signal Transduction CD3Zeta موليكيولي اللي + +66 +00:06:03,930 --> 00:06:09,000 +جاية جنب الـ TCR الـ T-cell أيضًا بتعبر عن موليكيول على + +67 +00:06:09,000 --> 00:06:21,840 +سطحها بالإضافة + +68 +00:06:21,840 --> 00:06:27,680 +إلى أدوار CD3 زيتا على سطح الـ TCR تلعب دور كبير + +69 +00:06:27,680 --> 00:06:33,520 +في الـ adhesion في الـ costimulation أيضا في الـ signal + +70 +00:06:33,520 --> 00:06:39,790 +transduction وهي CD28 عبارة عن cost stimulatory وهو + +71 +00:06:39,790 --> 00:06:44,830 +CTLA4 CTLA4 اللي هو cytotoxic lymphocyte antigen + +72 +00:06:44,830 --> 00:06:49,350 +رقم أربعة أيضا هو عبارة عن inhibitory cytokine + +73 +00:06:49,350 --> 00:06:56,830 +receptor ثم Integrin lymphocyte function antigen + +74 +00:06:56,830 --> 00:07:04,520 +one هو عبارة عن CD11A CD18 والـ VLA Very Late + +75 +00:07:04,520 --> 00:07:07,940 +Antigen 4 CD49D + +76 +00:07:07,940 --> 00:07:29,260 +CD29CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2 + +77 +00:07:30,980 --> 00:07:34,760 +لكنه موجود على minor population of human and mouse + +78 +00:07:34,760 --> 00:07:38,640 +T lymphocytes بيقولوا الـ Alpha Beta بشكل حوالي 90 + +79 +00:07:38,640 --> 00:07:45,280 +% من الـ TCR لكن الـ Gamma Delta أقل من 10% من الـ + +80 +00:07:45,280 --> 00:07:52,600 +TCR Gamma Delta أيضا expressed على سطح الخلية + +81 +00:07:52,600 --> 00:08:00,350 +مرتبط بـ CD3Z الـ Gamma Delta Positive تسل موجود + +82 +00:08:00,350 --> 00:08:10,270 +على سطح CD4 إلا أن في بعضهم موجود على سطح CD8 والـ + +83 +00:08:10,270 --> 00:08:15,470 +function of Gamma Delta تسل لغاية الآن are not + +84 +00:08:15,470 --> 00:08:20,650 +well understood زي ما احنا بنعرف وظيفة Alpha و + +85 +00:08:20,650 --> 00:08:29,020 +Beta الـ gene coding for Beta, Gamma, Delta تبعت الـ + +86 +00:08:29,020 --> 00:08:35,720 +TCR بيصير فيها Allelic Exclusion that is genes + +87 +00:08:35,720 --> 00:08:39,860 +from only one chromosome يا إما maternal يا إما + +88 +00:08:39,860 --> 00:08:44,260 +paternal بينما تبعت Alpha do not show Allelic + +89 +00:08:44,260 --> 00:08:49,310 +Exclusion بيحصل في عندنا أربعة أنواع من الـ TCR طوليبي + +90 +00:08:49,310 --> 00:08:53,530 +بتاع الـ TCR Alpha, Beta, Gamma, Delta الجينات + +91 +00:08:53,530 --> 00:08:56,090 +بتاعهم Beta, Gamma, Delta بيصير فيهم Allelic + +92 +00:08:56,090 --> 00:08:59,570 +Exclusion بينما Alpha ما بيصير فيها Allelic + +93 +00:08:59,570 --> 00:09:06,550 +Exclusion TCR في الأساس expressed on the surface + +94 +00:09:06,550 --> 00:09:11,770 +of developing T cell during differentiation in the + +95 +00:09:11,770 --> 00:09:16,110 +thymus احنا عرفنا إنه هي في البداية بتتصنع في الـ + +96 +00:09:16,110 --> 00:09:19,350 +bone marrow لكنها في مرحلة مبكرة جدا بتروح على + +97 +00:09:19,350 --> 00:09:22,630 +الـ thymus و هناك بيصير لها development and + +98 +00:09:22,630 --> 00:09:27,370 +differentiation the diversion development of T + +99 +00:09:27,370 --> 00:09:32,450 +cell using Alpha Beta as their receptor from those + +100 +00:09:32,450 --> 00:09:38,690 +using Gamma Delta يعني إنه الخلية في تطورها بتختار + +101 +00:09:38,690 --> 00:09:48,600 +طريق Alpha Beta أو Gamma Delta لغاية الآن بيصير إيه + +102 +00:09:48,600 --> 00:09:51,700 +اللي in the differentiation pathway in the thymus + +103 +00:09:51,700 --> 00:09:58,920 +بيصير في بدايات اللي هو تكوين الـ TCR وين بيصير + +104 +00:09:58,920 --> 00:10:05,910 +بيصير في الـ thymus Alpha Beta TCR CD4 CD8 Positive + +105 +00:10:05,910 --> 00:10:11,970 +Thymocytes بيسموها Double Positive Thymocytes or + +106 +00:10:11,970 --> 00:10:17,410 +cells بيسموها Thymic Selection وبالتالي هذا الكلام + +107 +00:10:17,410 --> 00:10:22,490 +بيصير من خلال الـ interaction of TCR and coreceptor + +108 +00:10:22,490 --> 00:10:28,950 +molecule على سطح الـ T cell وده MHC molecule and + +109 +00:10:28,950 --> 00:10:32,570 +بيبتعد expressed by Thymic Non-Lymphoid Cell في + +110 +00:10:32,570 --> 00:10:39,710 +خلايا اللي هي non-lymphoid cell بتقدم الـ MHC + +111 +00:10:39,710 --> 00:10:44,010 +موليكيول للـ T-lymphocyte والارتباط ما بين الـ T + +112 +00:10:44,010 --> 00:10:48,310 +-cell اللي هي عبارة عن Alpha Beta TCR CD4 Positive + +113 +00:10:48,310 --> 00:10:53,450 +CD8 Positive أو Double Positive Cell والـ MHC + +114 +00:10:53,450 --> 00:10:59,670 +موليكيول هو أساس في عملية اللي هو الـ Thymic + +115 +00:10:59,670 --> 00:11:08,400 +Selection يوجد خلايا تسمى + +116 +00:11:08,400 --> 00:11:13,600 +Cortical + +117 +00:11:13,600 --> 00:11:24,140 +Epithelial Cell تبدأ تتعلم وتدرب الـ T lymphocytes وإذا + +118 +00:11:24,140 --> 00:11:29,680 +كانت خلية عميلة فهي تتعامل مع الانتجين فقط عندما + +119 +00:11:29,680 --> 00:11:34,030 +تتعامل مع خلية that express the same MHC molecule + +120 +00:11:34,030 --> 00:11:37,550 +المفروض أن الـ T lymphocyte في هذه المرحلة تتعرف + +121 +00:11:37,550 --> 00:11:47,030 +على خلايا على الـ MHC molecule اللي اصلا شافته قبل + +122 +00:11:47,030 --> 00:11:51,270 +هيك during differentiation and thymus ماشي يبقى + +123 +00:11:51,270 --> 00:11:55,150 +أول خطوة احنا بنعلم فيها الـ T lymphocyte من خلال + +124 +00:11:55,150 --> 00:12:00,110 +تقديم الـ MHC molecule اللي already انشاف قبل هيك + +125 +00:12:00,110 --> 00:12:04,010 +أو اتصلنا معاها during their differentiation بتتصنع + +126 +00:12:04,010 --> 00:12:07,250 +معها during their differentiation اللي هم الـ T + +127 +00:12:07,250 --> 00:12:13,090 +lymphocytes بتروحوا مرتبطة فيه و بيسموه طبعا هذه + +128 +00:12:13,090 --> 00:12:17,090 +الحالة positive selection طبعا اللي بيرتبطوا بالـ + +129 +00:12:17,090 --> 00:12:21,270 +MSC molecule they are surviving بينما اللي ما + +130 +00:12:21,270 --> 00:12:25,430 +بتعرفوا على MSC molecule بيسموهم بموتو بيابوتوسيز + +131 +00:12:25,430 --> 00:12:30,270 +و بيسمو هذه المرحلة MSC restriction of T cell + +132 +00:12:30,270 --> 00:12:39,070 +response اللي بعد ذلك بتنزل الـ T lymphocyte deep + +133 +00:12:39,070 --> 00:12:44,470 +in the thymus و بيصير في مرحلة تانية أو selection + +134 +00:12:44,470 --> 00:12:47,670 +تانية بيسموه negative selection كل ما هناك أن + +135 +00:12:47,670 --> 00:12:51,970 +الـdendritic cell at the junction of thymic cortex + +136 +00:12:51,970 --> 00:13:01,450 +and medulla بتروح وهي removes + +137 +00:13:02,540 --> 00:13:09,620 +T cell خلصة من الـ T lymphocytes اللي عندها القدرة + +138 +00:13:09,620 --> 00:13:13,640 +أنها ترتبط مع الـ MSC موليكيول اللي ماسك self + +139 +00:13:13,640 --> 00:13:19,740 +-antigen وبالتالي هذا الكلام كل خلايا تمسك تتعرف + +140 +00:13:19,740 --> 00:13:23,420 +على self-antigen it will be removed by apoptosis + +141 +00:13:23,420 --> 00:13:26,500 +and this will ensure self-tolerance this will + +142 +00:13:26,500 --> 00:13:31,540 +ensure self-tolerance وبهذا الحال في هذه المرحلة + +143 +00:13:31,850 --> 00:13:36,230 +طبعا في thymus صار للخلية self amnesia + +144 +00:13:36,230 --> 00:13:39,670 +restriction وصار لها self-tolerance صار لها ايش + +145 +00:13:39,670 --> 00:13:42,970 +self-tolerance يبقى مرحلتين positive selection و + +146 +00:13:42,970 --> 00:13:45,430 +negative selection في الـ positive selection صار + +147 +00:13:45,430 --> 00:13:49,150 +amnesia restriction of T lymphocytes وفي المرحلة + +148 +00:13:49,150 --> 00:13:53,110 +التانية صار self-tolerance يعني self non self + +149 +00:13:53,110 --> 00:14:00,330 +discrimination alpha beta cd4 positive cd8 + +150 +00:14:00,330 --> 00:14:07,710 +positive that survived negative selection والله عدت + +151 +00:14:07,710 --> 00:14:11,290 +من الـ negative selection هي والجامعة delta + +152 +00:14:11,290 --> 00:14:15,330 +positive T lymphocytes leave the thymus بيطلعوا من + +153 +00:14:15,330 --> 00:14:21,210 +الـ thymus وبدولة بيكونوا repertoire of peripheral T + +154 +00:14:21,210 --> 00:14:25,130 +cell in the blood و بيروحوا على الـ secondary + +155 +00:14:25,130 --> 00:14:30,270 +lymphoid organs and they respond to non self or + +156 +00:14:30,270 --> 00:14:32,230 +foreign antigen + +157 +00:14:36,190 --> 00:14:44,750 +TCR receptor complex تكون من الـTCR وCD3 وZeta + +158 +00:14:53,780 --> 00:15:02,960 +و Zeta وهي CD247 بيشكلوا + +159 +00:15:02,960 --> 00:15:08,940 +الـ TCR اللي CD3 و Zeta واللي بيبتعد ما بيرتبطوا في + +160 +00:15:08,940 --> 00:15:12,720 +الانتجن لكن هم دورهم الأساسي Signal Transduction + +161 +00:15:12,720 --> 00:15:17,320 +Molecule بس واجتيش after TCR binding to the + +162 +00:15:17,320 --> 00:15:22,920 +antigen يعني بعد ما اتنشط الـ TCR ويرتبط بالـ + +163 +00:15:22,920 --> 00:15:28,840 +Antigen بدوا الـ CD3Z يعملوا Signal Transduction + +164 +00:15:28,840 --> 00:15:32,820 +على نفس النمط اللي صار مع Immunoglobulin Alpha و + +165 +00:15:32,820 --> 00:15:37,080 +Immunoglobulin Beta لجنب الـVCR وعملوا + +166 +00:15:37,080 --> 00:15:42,740 +Transduction هناك After Antigen binding to the + +167 +00:15:42,740 --> 00:15:49,180 +Alpha Beta Chain الـ Immunoreceptor tyrosine based + +168 +00:15:49,180 --> 00:15:55,270 +activation motif موجودة أيضًا في الـ CD3 والزيتا + +169 +00:15:55,270 --> 00:16:00,070 +بلعب دور كبير in the early phase of T cell + +170 +00:16:00,070 --> 00:16:03,770 +activation طبعًا مثلًا Phosphorylation يبدو نشطه + +171 +00:16:03,770 --> 00:16:10,990 +Air الـ T lymphocytes هذا هو الـ TCR وظيفته + +172 +00:16:10,990 --> 00:16:17,130 +Antigen Binding جنبه في CD3 هذا هو بيتكون من Gamma + +173 +00:16:17,130 --> 00:16:24,150 +Delta Epsilon طبعا هذا بتكون تسمية + +174 +00:16:24,150 --> 00:16:30,730 +تكملة لـ Alpha Beta Gamma Delta وEpsilon جنبهم فيه + +175 +00:16:30,730 --> 00:16:36,190 +Zeta إذا بتلاحظوا اللي هو الـ Intracytoplasmic + +176 +00:16:36,190 --> 00:16:43,070 +portion وظيفتهم signal transduction only both TCR + +177 +00:16:43,070 --> 00:16:51,580 +and immunoglobulin ومجموعة أخرى تدعي أن الجسم + +178 +00:16:51,580 --> 00:17:03,000 +تتطور من جين عام وكسرال جميعهم في مجموعة بيطلعون + +179 +00:17:03,000 --> 00:17:07,820 +هذه الأشكال كلها زي ما رأينا في الانتباهي ورأينا + +180 +00:17:07,820 --> 00:17:16,330 +في مجموعة أخرى ما هي الفرقات الموجودة ما بين TCR و + +181 +00:17:16,330 --> 00:17:23,450 +Immunoglobulin؟ TCR هو Monovalent ومشابه الـ + +182 +00:17:23,450 --> 00:17:28,190 +Monovalent فهب فرق في Immunoglobulin لأن هذا هو + +183 +00:17:28,190 --> 00:17:35,170 +الاختلاف أو التشابه + +184 +00:17:35,170 --> 00:17:39,210 +عفوا هنا هذا TCR هو ده Monovalent لكن + +185 +00:17:39,210 --> 00:17:45,040 +Immunoglobulin هو Divalent فهبكل TCR يشبه FAB في + +186 +00:17:45,040 --> 00:17:51,800 +الـ immunoglobulin الـ TCR rigid هو السبب في ذلك أنه + +187 +00:17:51,800 --> 00:17:57,720 +فيه interaction مستمر بين الـ domain بينما + +188 +00:17:57,720 --> 00:18:01,500 +الـ immunoglobulin flexible فهنا four polypeptide + +189 +00:18:01,500 --> 00:18:08,300 +chain ممسكين في النص يعني يتخلى لهم انتجين وانتجين + +190 +00:18:08,300 --> 00:18:11,580 +وانتجين وانتجين وانتجين وانتجين وانتجين وانتجين + +191 +00:18:11,580 --> 00:18:17,500 +وانتجين الفرق التالت الـ TCR interact with small + +192 +00:18:17,500 --> 00:18:20,600 +fragments of protein ممسوقة على سطح الـ Antigen + +193 +00:18:20,600 --> 00:18:26,960 +-presenting cell مرتبط بالـ MHC موليكيوم ماشي + +194 +00:18:26,960 --> 00:18:32,040 +بينما الـ Immunoglobulin can recognize a variety of + +195 +00:18:32,040 --> 00:18:39,750 +structure and shapes of antigen الـ TCR بيختلف + +196 +00:18:39,750 --> 00:18:47,330 +أيضًا عن الـ immunoglobulin أنه فقط وجدت صحراء على + +197 +00:18:47,330 --> 00:18:51,810 +سطح الممبرينة وليسوا محفوظين في البلازما زي ما + +198 +00:18:51,810 --> 00:18:53,250 +بنشوف في الـ immunoglobulin + +199 +00:18:56,420 --> 00:19:00,560 +الحاجة التانية أنه there is no change in TCR + +200 +00:19:00,560 --> 00:19:03,300 +during the response to antigen بينما الـ + +201 +00:19:03,300 --> 00:19:06,880 +immunoglobulin بيصير له somatic hyper mutation و + +202 +00:19:06,880 --> 00:19:12,080 +بيصير له class switching أيضا بعد ما يصير فيه + +203 +00:19:12,080 --> 00:19:16,820 +ارتباط بالـ antigen هذه هي اختلافات ما بين الـ TCR و + +204 +00:19:16,820 --> 00:19:20,540 +ما بين الـ immunoglobulin و هذه عبارة عن الـ + +205 +00:19:21,170 --> 00:19:23,770 +الموليكيول اللي موجودة على سطح الـ Cell membrane + +206 +00:19:23,770 --> 00:19:28,990 +of T lymphocyte و لاحظوها الـ TCR جنبه في CD3 + +207 +00:19:28,990 --> 00:19:32,870 +زيتا اللي هو مسؤولين عن الـ signal transduction ثم + +208 +00:19:32,870 --> 00:19:37,070 +CD4 أو CD8 اللي هو الـ coreceptor و ثم + +209 +00:19:37,070 --> 00:19:43,090 +الـ costimulatory موليكيول CD28 CD على A4 و في آخر + +210 +00:19:43,090 --> 00:19:47,170 +موليكيول كCD40 ligand اللي بيمسك في CD40 على الـ B + +211 +00:19:47,170 --> 00:19:51,410 +-Lymphocyte والـ ICOS اللي بيتمرضه بالـ ICOS + +212 +00:19:51,410 --> 00:19:55,650 +-Ligand اللي على سطح الـ CD4 الـ B-Lymphocyte ثم + +213 +00:19:55,650 --> 00:19:59,190 +فيه adhesive molecule أو adhesive molecule زي الـ + +214 +00:19:59,190 --> 00:20:08,670 +LFA1 والـ VLA4 CD2 CD62 Ligand و هكذا كل عبارة عن + +215 +00:20:08,670 --> 00:20:12,380 +adhesive molecule ثم فيه Chemokine Receptor اللي هو + +216 +00:20:12,380 --> 00:20:18,960 +عبارة عن الـ Chemokine receptor number seven طبعا + +217 +00:20:18,960 --> 00:20:23,280 +هذه التسميات هي leukocyte LCA هو عبارة عن + +218 +00:20:23,280 --> 00:20:27,740 +leukocyte common antigen CTL cytotoxic T + +219 +00:20:27,740 --> 00:20:34,180 +lymphocytes VLA very late antigen CTLA cytotoxic + +220 +00:20:34,180 --> 00:20:39,060 +T lymphocyte antigen و LFA lymphocyte functional + +221 +00:20:39,060 --> 00:20:46,700 +antigen الـ Coreceptor قلنا فيه CD4 وCD8 وقلنا الـ + +222 +00:20:46,700 --> 00:20:49,400 +Immature T lymphocyte اللي بيصل لـ differentiation + +223 +00:20:49,400 --> 00:20:54,500 +في الـ thymus express both CD4 وCD8 واتفقنا على أن + +224 +00:20:54,500 --> 00:20:58,400 +الـ CD4 بيرتبط بـ Class II MHC موليكيول بينما الـ + +225 +00:20:58,400 --> 00:21:05,660 +CD8 بترتبط بالـ MHC Class I موليكيول وإن CD4 وCD8 + +226 +00:21:05,660 --> 00:21:08,900 +تعمل كموليكيول الهيجيني في التعامل مع الـ T cell + +227 +00:21:10,110 --> 00:21:14,030 +يمثلِط بالـ Antigen-presenting cell وهذا بيقوّي + +228 +00:21:14,030 --> 00:21:16,890 +الرابط ما بين الـ T-cell وAntigen-presenting cell + +229 +00:21:16,890 --> 00:21:21,030 +وأن CD4 و CD8 أيضًا involved in signal + +230 +00:21:21,030 --> 00:21:26,430 +transduction لكن بعد الارتباط بالـ Antigen بعد + +231 +00:21:26,430 --> 00:21:31,550 +ارتباط TCR بالـ Antigen وإن الـ Intracellular + +232 +00:21:31,550 --> 00:21:41,660 +portion of CD4 وCD8 مرتبط أو فيه الـ Thyrosine + +233 +00:21:41,660 --> 00:21:47,840 +Kinase Enzyme وده مهم جدا ان تيس الـ activation + +234 +00:21:47,840 --> 00:21:54,120 +pathway آخر حاجة جاله النسبة ما بين الـ CD4 to CD8 + +235 +00:21:54,120 --> 00:22:03,880 +CD4 ضعف الـ CD8 لـ 2 cost of natural legend هي اللي + +236 +00:22:03,880 --> 00:22:07,580 +بيصير أنه بيصير في ارتباط ما بين احنا قولنا فيه CD + +237 +00:22:07,580 --> 00:22:12,280 +28 بيرتبط بالـ B7 على سطح اللي هو الـ Antigen + +238 +00:22:12,280 --> 00:22:16,120 +Presenting Cell هو برهن Co-Stimulatory أو Second + +239 +00:22:16,120 --> 00:22:21,800 +Signal for T Cell Activation Its Co-Stimulation is + +240 +00:22:21,800 --> 00:22:26,000 +required in addition to the interaction of TCR + +241 +00:22:26,000 --> 00:22:32,200 +بالأنتجن وهي بتصير to activate Naive T Cell و الـ + +242 +00:22:32,200 --> 00:22:35,140 +Naive T Cell هي برهن الخلية التي لم تصادف أنتجن + +243 +00:22:35,140 --> 00:22:41,470 +مسبقا وبينما الـ Activated T Cell في على سطحها + +244 +00:22:41,470 --> 00:22:46,610 +أيضا CTLA4 اللي مرتبط بـ CD28 وده وظيفته + +245 +00:22:46,610 --> 00:22:53,230 +Inhibitory اللي هو موليكيول بيعمل Negative Signal + +246 +00:22:53,230 --> 00:23:00,090 +لـ Activated T-Lymphocytes طبعا كل الـ T + +247 +00:23:00,090 --> 00:23:03,530 +-Lymphocytes أيضا على سطحها CD2 وده برنامج + +248 +00:23:03,530 --> 00:23:08,610 +Adhesive موليكيول بيعمل signal transduction + +249 +00:23:08,610 --> 00:23:17,050 +properties in addition to CD4 and CD8 CD2, + +250 +00:23:17,230 --> 00:23:22,970 +CD4, CD8 are only expressed on T lymphocytes + +251 +00:23:22,970 --> 00:23:32,470 +Integrand هم الـ 1000A1 و VLA4 الـ 1000A1 موجود + +252 +00:23:32,470 --> 00:23:39,140 +على T سلبيرتبط بـ several ligands زي الـ ICAM-1 + +253 +00:23:39,140 --> 00:23:43,240 +على سطح الـ endothelial cell وعلى سطح الـ antigen + +254 +00:23:43,240 --> 00:23:47,180 +-presenting cell زي الـ macrophage و الـdendritic + +255 +00:23:47,180 --> 00:23:52,240 +cell الـ + +256 +00:23:52,240 --> 00:23:57,260 +homing فنومينا كنا بنعرف أنه بيصير فيه homing + +257 +00:23:57,260 --> 00:24:00,560 +للكثير من T lymphocyte looking after the antigen بتضل تلف + +258 +00:24:00,560 --> 00:24:06,040 +ما بين ال blood والـ secondary lymphoid organs اللي + +259 +00:24:06,040 --> 00:24:08,920 +الـ homing phenomena is mediated usually by + +260 +00:24:08,920 --> 00:24:13,920 +موليكيول اللي هو CD62 الـ ligand وهو برنامج L + +261 +00:24:13,920 --> 00:24:21,640 +-Selectin موجود على سطح الـ naïve T cell surface بثبت + +262 +00:24:21,640 --> 00:24:26,140 +بجليكوبروتين موليكيول known as adresins موجود على + +263 +00:24:26,140 --> 00:24:32,380 +سطح الخلايا in a specialized region of vascular + +264 +00:24:32,380 --> 00:24:38,420 +endothelium and at the boundary of the node يعني + +265 +00:24:38,420 --> 00:24:44,280 +على أطراف الـ nodes بيكون موجود اللي هو vascular + +266 +00:24:44,280 --> 00:24:49,800 +endothelial cell بيربط + +267 +00:24:49,800 --> 00:24:54,480 +الـ T lymphocytes بهذه + +268 +00:24:54,480 --> 00:24:58,990 +الخلايا هنا اتفقنا على أن الـ T lymphocyte لما + +269 +00:24:58,990 --> 00:25:03,270 +بتصادف antigen أيضًا تاخده تيجي على السطح على ال + +270 +00:25:03,270 --> 00:25:07,310 +secondary lymphoid organs وهناك بتتم عملية ال + +271 +00:25:07,310 --> 00:25:13,710 +activation T cell differentiation قالوا the + +272 +00:25:13,710 --> 00:25:19,330 +developing T lymphocyte أو Thymocytes interact + +273 +00:25:19,330 --> 00:25:23,770 +with non-lymphoid stromal cell of the thymus في الـ + +274 +00:25:23,770 --> 00:25:27,650 +Thymus زي الـ Cortical Epithelial Cell و Dendritic + +275 +00:25:27,650 --> 00:25:30,810 +Cell اللي موجودة في الـ junction of the Cortex and + +276 +00:25:30,810 --> 00:25:37,830 +Medulla هذه الـ Non-Lymphoid Cell بتزود طبعًا + +277 +00:25:37,830 --> 00:25:43,690 +Critical Cell Surface Interaction required for the + +278 +00:25:43,690 --> 00:25:48,650 +development of maturing T Cell أيضًا هذه الخلايا + +279 +00:25:48,650 --> 00:25:53,770 +الـ stromal cell of the thymus can produce IL-7 + +280 +00:25:53,770 --> 00:26:00,310 +which induce proliferation of T and B cell في حالة + +281 +00:26:00,310 --> 00:26:08,970 +الـ B وكان الـ ratio ما بين T و B تلت أضعاف الـ B و + +282 +00:26:08,970 --> 00:26:14,370 +أيضًا هرمون مهم جدًا مسئول عن الـ differentiation + +283 +00:26:14,370 --> 00:26:25,630 +of T cell هو الـ Thymosin أو الـ Thymopoietin وهو + +284 +00:26:25,630 --> 00:26:30,550 +عبارة عن ريجلاتري هورمون الـ Thymic Selection قلنا + +285 +00:26:30,550 --> 00:26:33,370 +فيه Positive Selection و فيه Negative Selection و + +286 +00:26:33,370 --> 00:26:38,190 +اتفقنا شرحناهم سابقًا الـ Positive Selection اللي هو + +287 +00:26:38,190 --> 00:26:42,690 +الـ Double Positive Thymosin كرتبت بالعمل + +288 +00:26:42,690 --> 00:26:48,350 +Simplecule ماشي اللي شاء تصنع معاها في البداية اللي + +289 +00:26:48,350 --> 00:26:52,130 +بتمسك بالأمد شيء موليكيه بتتعرف عليه بصير لها + +290 +00:26:52,130 --> 00:26:55,670 +survival بينما اللي ما بتتعرف عليه بتموت by + +291 +00:26:55,670 --> 00:27:01,270 +apoptosis ماشي الـ + +292 +00:27:01,270 --> 00:27:07,130 +positive selection متى ما صار بعمل down regulation + +293 +00:27:07,130 --> 00:27:12,470 +لـ جين واحد و جين اثنين gene وبالتالي بتقلل من عملية + +294 +00:27:12,470 --> 00:27:19,140 +الـ gene rearrangement ماشي بعد هيك developing + +295 +00:27:19,140 --> 00:27:25,400 +alpha beta TCR educated to MHC molecule can + +296 +00:27:25,400 --> 00:27:30,460 +respond to antigen يوم ما يرتبط بالـ MHC + +297 +00:27:30,460 --> 00:27:35,260 +molecule الـ + +298 +00:27:35,260 --> 00:27:38,640 +MHC molecule expressed in the person's eye mass + +299 +00:27:38,640 --> 00:27:42,780 +and that educate his or her developing T + +300 +00:27:42,780 --> 00:27:48,670 +lymphocyte بيسموه self MHC موليكيول وكل الـ other + +301 +00:27:48,670 --> 00:27:54,290 +types of MHC موليكيول هم عبارة عن non-self وهذه هي + +302 +00:27:54,290 --> 00:27:59,230 +أساس ظاهرة اللي بنحكي عليها الـ MHC restriction + +303 +00:27:59,230 --> 00:28:03,610 +فنومنا ما بين هو عبارة عن self MHC restriction + +304 +00:28:03,610 --> 00:28:08,510 +وهذه عبارة عن central to T cell response ضروري جدًا + +305 +00:28:08,510 --> 00:28:12,580 +يكون هي عبارة عن الـ MHC هو نفس الأمر الـ MSC اللي + +306 +00:28:12,580 --> 00:28:15,140 +سلو الـ differentiation معاها during its + +307 +00:28:15,140 --> 00:28:22,560 +development negative selection طبعًا قلنا أنها + +308 +00:28:22,560 --> 00:28:28,780 +بيحصل في الـ junction of corticomedullary portion + +309 +00:28:28,780 --> 00:28:36,160 +شو اللي بيحصل أن الـ T cell يتقدم لها الـ self + +310 +00:28:36,160 --> 00:28:39,940 +-antigen مرتبط بالـ MSC molecule طبعًا في هذا + +311 +00:28:39,940 --> 00:28:44,190 +الحالة المفروض تميز بين الـ self و الـ non-self + +312 +00:28:44,190 --> 00:28:50,530 +فالخلايا التي ترتبط بالـ self بيموت بـ apoptosis + +313 +00:28:50,530 --> 00:28:56,510 +بينما التي لا ترتبط بالـ cell it will survive إلا + +314 +00:28:56,510 --> 00:29:01,870 +إذا كان في خلايا T lymphocytes عندها strong + +315 +00:29:01,870 --> 00:29:07,350 +reactivity to self component وتركت + +316 +00:29:07,350 --> 00:29:12,940 +الـ thymus تطلع برة It can interact with the antigen + +317 +00:29:12,940 --> 00:29:17,300 +ويمكن تعمل autoimmune disease ويمكن تعمل + +318 +00:29:17,300 --> 00:29:20,140 +autoimmune disease عشان نمنع هذا الـ negative + +319 +00:29:20,140 --> 00:29:21,420 +selection مصير عشان نمنع هذا الـ negative selection + +320 +00:29:21,420 --> 00:29:22,940 +مصير هلأ في الـ negative selection هلأ في الـ + +321 +00:29:22,940 --> 00:29:25,980 +negative selection زي ما قلنا أن هذه الخلايا + +322 +00:29:25,980 --> 00:29:31,940 +بتتعلم تفرج ما بين الـ self و الـ non-self antigen + +323 +00:29:31,940 --> 00:29:36,840 +هلأ بعد ذلك الـ double positive interact with the + +324 +00:29:36,840 --> 00:29:39,020 +MSC expressed on the dendritic cell + +325 +00:29:42,480 --> 00:29:49,240 +اللي عندها too high affinity TCR طبعًا T cell اللي + +326 +00:29:49,240 --> 00:29:53,820 +هي expressing TCR that react with too high + +327 +00:29:53,820 --> 00:29:56,160 +affinity to the recombination of amethyst and + +328 +00:29:56,160 --> 00:30:03,420 +peptide they are طبعًا deleted by apoptosis وبالتالي + +329 +00:30:03,420 --> 00:30:07,160 +الـ Negative Selection هو عبارة عن عملية بنفرق + +330 +00:30:07,160 --> 00:30:10,700 +فيها ما بين الـ Self و الـ Non-Self بعد هيك الـ + +331 +00:30:10,700 --> 00:30:15,580 +Double Positive بيصير لها الـ .. بيصير لها + +332 +00:30:15,580 --> 00:30:21,900 +Surviving ماشي بيصير فيك عندها Down Regulation + +333 +00:30:21,900 --> 00:30:28,690 +لـ واحد من الـ اثنين CD4 أو CD8 وبتبدأ الخلية تتميز إما + +334 +00:30:28,690 --> 00:30:34,850 +CD4 وإما CD8 وكل خلايا اللي بتطلع بتكون عندها + +335 +00:30:34,850 --> 00:30:37,450 +خاصيتين الخاصية الأولانية self-emphasis + +336 +00:30:37,450 --> 00:30:45,630 +restriction والخاصية الثانية self-tolerant دول الـ + +337 +00:30:45,630 --> 00:30:51,010 +autoimmune regulatory gene in negative selection + +338 +00:30:52,250 --> 00:30:55,370 +كانوا طالعين بسؤال نطرح نفسه أنه كيف الـ self + +339 +00:30:55,370 --> 00:31:01,790 +-tolerance بيصير لـ self-antigen outside the + +340 +00:31:01,790 --> 00:31:06,170 +thymus احنا علمنا الخلية في داخل الـ thymus طب + +341 +00:31:06,170 --> 00:31:10,550 +برضه الـ thymus هتشوف بعض الـ self-antigen اللي ناس + +342 +00:31:10,550 --> 00:31:16,320 +خدفته واتشافته قبلين واتعلمت عليه الدراسات قالت + +343 +00:31:16,320 --> 00:31:21,180 +تثبت بالدراسات من خلال دراسات that at least some + +344 +00:31:21,180 --> 00:31:24,140 +of cell molecules normally synthesized by tissue + +345 +00:31:24,140 --> 00:31:27,900 +outside the thymus بعض الـ antigens اللي بتتصنع برة + +346 +00:31:27,900 --> 00:31:32,860 +الـ thymus بما فيها الانسولين والـ thyroglobulin + +347 +00:31:32,860 --> 00:31:36,680 +والميلين بيزيك بروتين كل عبارة عن ايه عشان عبارة + +348 +00:31:36,680 --> 00:31:40,660 +عن بروتين بتتصنع خارج اللي هو الـ thymus those + +349 +00:31:40,660 --> 00:31:45,130 +proteins are expressed by epithelial في خلايا + +350 +00:31:45,130 --> 00:31:49,890 +أبيثلية they express these proteins مرتبط + +351 +00:31:49,890 --> 00:31:56,210 +بالـ MHC موليكيول أيضًا فيهاش في المضلة وإن الناس + +352 +00:31:56,210 --> 00:32:05,470 +اللي أنه + +353 +00:32:05,470 --> 00:32:10,730 +these studies أيضًا استكملها للموضوع بتقترح أن + +354 +00:32:10,730 --> 00:32:17,750 +المضلة الأبيثيلية cells واكتشاف اكتشاف اكتشاف + +355 +00:32:17,750 --> 00:32:19,190 +اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف + +356 +00:32:19,190 --> 00:32:19,330 +اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف + +357 +00:32:19,330 --> 00:32:21,470 +اكتشاف اكتشاف اكتشاف اكتشاف اكتشف اكتشف اكتشف + +358 +00:32:21,470 --> 00:32:25,070 +اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف + +359 +00:32:25,070 --> 00:32:26,650 +اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف + +360 +00:32:26,650 --> 00:32:38,990 +اكتشف اكتشف اكتشف اكتشف اكت + +361 +00:32:39,020 --> 00:32:42,500 +in the thymic medullary epithelial cells بلعب دوري + +362 +00:32:42,500 --> 00:32:46,880 +كبير في عملية الـ expression of this molecule وإن + +363 +00:32:46,880 --> 00:32:53,040 +الناس اللي ما عندها الـ autoimmune regulatory gene + +364 +00:32:53,040 --> 00:33:01,700 +product they are lacking of this gene بيصير عندهم + +365 +00:33:01,700 --> 00:33:07,940 +deletion of autoreactive T lymphocyte impairment + +366 +00:33:09,310 --> 00:33:13,890 +وبالتالي المحصلة autoimmune response أو autoimmune + +367 +00:33:13,890 --> 00:33:19,090 +disease زي الـ autoimmune polyendocrinopathy + +368 +00:33:19,090 --> 00:33:25,590 +candidiasis أكثر أكثر درمل دستروفي وهذا سندروم in + +369 +00:33:25,590 --> 00:33:31,610 +which multiple endocrine organ are targeted are + +370 +00:33:31,610 --> 00:33:34,730 +targeted يعني الناس اللي ما عندهم autoimmune + +371 +00:33:34,730 --> 00:33:43,100 +regulatory gene product ماشي They will + +372 +00:33:43,100 --> 00:33:47,000 +produce + +373 +00:33:47,000 --> 00:33:55,760 +autoimmune disease بدنا نأخذ بعين الاعتبار أنه بعد أن + +374 +00:33:55,760 --> 00:34:01,700 +اضلت احنا قلنا الـ famous بروح ماشي إلا بس not إلا + +375 +00:34:01,700 --> 00:34:06,900 +أن عيابه لا يؤثر على الـ T cell production وهو يجاله في + +376 +00:34:06,900 --> 00:34:12,240 +two explanation لهذه الفرضية، الفرضية الأولى أنه + +377 +00:34:12,240 --> 00:34:15,980 +في remnant of thymus، this remnant of thymus can + +378 +00:34:15,980 --> 00:34:20,950 +produce T lymphocyte، و أكيد في extra side that takes + +379 +00:34:20,950 --> 00:34:26,410 +over فيما بأماكن أخرى بدل الـ thymus ممكن تصنع اللي + +380 +00:34:26,410 --> 00:34:32,090 +هو الـ telemphocytes، however ولكن if thymus is + +381 +00:34:32,090 --> 00:34:36,970 +removed، T cells are made somewhere، تتصنع في مكان + +382 +00:34:36,970 --> 00:34:44,790 +آخر، هذا ماشي الكلام مع التفسير رقم اثنين اللي هو + +383 +00:34:44,790 --> 00:34:52,470 +فيه extra sides that takes over the mission، طبعا + +384 +00:34:52,470 --> 00:34:58,750 +some children ممكن ينولدوا with thymus that failed + +385 +00:34:58,750 --> 00:35:05,320 +to develop correctly in utero، و بيعملوا مرض بيسموه + +386 +00:35:05,320 --> 00:35:09,540 +DiGeorge Syndrome، ما بيصنع هذا الطفل T lymphocyte at + +387 +00:35:09,540 --> 00:35:15,180 +all لأن already الـ thymus عنده is not developed + +388 +00:35:15,180 --> 00:35:22,320 +correctly، أيضا الـ mice اللي عنده الـ thymus does + +389 +00:35:22,320 --> 00:35:28,280 +not develop، بيسموهم nude mice، ليش؟ لأن they lack + +390 +00:35:28,280 --> 00:35:33,000 +... also they lack hair، nude يعني + +391 +00:35:33,000 --> 00:35:39,160 +ناقص، فار ناقص، ليش لأنه كمان الفار هذا ما بيطلعلهوش شعر، في الحالتين T lymphocyte do not + +392 +00:35:39,160 --> 00:35:45,160 +develop و T cell responses are defective، هذا عبارة + +393 +00:35:45,160 --> 00:35:53,910 +عن development of T lymphocyte، و هذه المراحل + +394 +00:35:53,910 --> 00:35:56,470 +المختلفة اللي بتمر فيها، و لاحظوا أنه في عندنا هنا + +395 +00:35:56,470 --> 00:36:00,350 +خلايا بتموت عمالها في هذه المراحل اللي هي الـ في الـ + +396 +00:36:00,350 --> 00:36:05,730 +positive و الـ negative selection، أي الـ stem cell + +397 +00:36:05,730 --> 00:36:09,070 +في البداية بيكونش على سطحها marker، ثم بيتولد CD4 + +398 +00:36:09,070 --> 00:36:16,630 +CD8 TCR، واللي بتتعرف على الـ MHC molecule تبعها + +399 +00:36:16,630 --> 00:36:22,800 +will survive، ولي ما بتتعرف it will die by + +400 +00:36:22,800 --> 00:36:26,880 +apoptosis، هدول اللي عاشوا بيمتحنوا مرة ثانية في + +401 +00:36:26,880 --> 00:36:32,480 +المضلة أو على طرف المضلة، أنهم بتقدم اللي هم الـ TCR + +402 +00:36:32,480 --> 00:36:37,620 +بتقدم الـ MHC مرتبط بـ self antigen اللي بتعرف ... + +403 +00:36:37,620 --> 00:36:43,760 +اللي ما بتعرف will survive، ولي بتعرف survive طبعا + +404 +00:36:43,760 --> 00:36:47,820 +بعد هيك الخلية بتصير إما CD4 وإما CD8، فروقات ما بين + +405 +00:36:47,820 --> 00:36:55,100 +الـ T-lymphocyte و الـ B-lymphocyte، فينا جدول طويل + +406 +00:36:55,100 --> 00:37:00,920 +عريض، إيه نمرا واحد، antigen receptor على الارض التاني + +407 +00:37:00,920 --> 00:37:04,660 +أن عندهم antigen receptor واحد اسمه TCR والتاني اسمه + +408 +00:37:04,660 --> 00:37:08,260 +BCR، recognition on processed peptide plus MHC and + +409 +00:37:08,260 --> 00:37:12,160 +Recure، T-lymphocyte تحتاج إلى antigen presenting + +410 +00:37:12,160 --> 00:37:15,340 +cell، بينما الـ B-lymphocyte لا تحتاج الـ + +411 +00:37:15,340 --> 00:37:19,060 +requirement for antigen presentation، طبعا الـ T + +412 +00:37:19,060 --> 00:37:22,980 +lymphocyte لا تقوم بعملية الـ presentation بينما + +413 +00:37:22,980 --> 00:37:26,620 +الـ B lymphocyte تقوم، IgM on the surface موجود على + +414 +00:37:26,620 --> 00:37:31,700 +سطح الـ B lymphocytes، CD3 موجود على سطح الـ T + +415 +00:37:31,700 --> 00:37:35,700 +lymphocytes، الـ clonal expansion التانين عندهم بعد + +416 +00:37:35,700 --> 00:37:40,340 +ما ترتبط بالـ antigen، Monoglobulin synthesis فقط + +417 +00:37:40,340 --> 00:37:44,540 +الـ B lymphocyte، regulator of antibody synthesis + +418 +00:37:44,540 --> 00:37:48,280 +هذا دور الـ T lymphocyte، الـ cytokine release أيضًا + +419 +00:37:48,280 --> 00:37:53,150 +من الـ T-lymphocytes، if cell-mediated immunity + +420 +00:37:53,150 --> 00:37:57,130 +بتكون فيها الـ T-lymphocytes، maturation in the + +421 +00:37:57,130 --> 00:38:00,750 +thymus، أيضًا الـ T-lymphocytes و maturation in the + +422 +00:38:00,750 --> 00:38:04,730 +bone marrow بتكون تختص بالـ B-cells بالـ B-lymphocytes + +423 +00:38:04,730 --> 00:38:10,450 +بدنا نأخذ برضه بعين الاعتبار عشان ننسى أن الـ NK cell + +424 +00:38:10,450 --> 00:38:15,630 +و الـ NKT cell أيضًا developed in the thymus، وكمان + +425 +00:38:15,630 --> 00:38:22,340 +في Treg هي عبارة عن نوع من الـ CD4 T-lymphocytes + +426 +00:38:22,340 --> 00:38:28,920 +لكن على سطحها CD25 بتلعب دور كبير كـ regulator بتعمل + +427 +00:38:28,920 --> 00:38:35,240 +inhibitory response for both self and for an + +428 +00:38:35,240 --> 00:38:39,640 +antigen، و أن both CD4 و CD8 الاثنين بيطلعوا من + +429 +00:38:39,640 --> 00:38:44,880 +الـ thymus بيروحوا على blood ثم secondary lymphoid + +430 +00:38:44,880 --> 00:38:47,700 +organs looking after antigen، once .. once .. once + +431 +00:38:47,700 --> 00:38:53,670 +يعني they connect with antigen، ثم activation and + +432 +00:38:53,670 --> 00:39:00,850 +differentiation، و بتحولوا لـ effector cell، و طبعا + +433 +00:39:00,850 --> 00:39:05,090 +بعضهم بيتحول بيصير memory cell، وهذا هي الحدوتة، و + +434 +00:39:05,090 --> 00:39:15,370 +نرجو أن تكونوا قد استمتعتم، إن شاء الله بنعيش بهذه + +435 +00:39:15,370 --> 00:39:23,410 +المحاضرة + +436 +00:39:23,410 --> 00:39:24,190 +. diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..1d84e44488a4109c531a05a71fe2b994faea3b09 --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0_postprocess.srt @@ -0,0 +1,1744 @@ +1 +00:00:05,480 --> 00:00:10,220 +نلتقى اليوم في محاضرة بيعنيها + +2 +00:00:10,220 --> 00:00:13,700 +biology of T cell زى ما حكينا biology of B cell + +3 +00:00:13,700 --> 00:00:19,560 +نتعرف على ال B cell their stages of development و + +4 +00:00:19,560 --> 00:00:28,880 +how it can be formed the surface molecule and so + +5 +00:00:28,880 --> 00:00:34,350 +onطبعا كنا بنعرف انه في number of T lymphocyte + +6 +00:00:34,350 --> 00:00:37,310 +وحكينا هذه المعلومة في محاضرة سابقة انه بيوصل + +7 +00:00:37,310 --> 00:00:41,690 +العدد الى عشر قوة خمستاشر .. اي من عشر قوة خمستاشر + +8 +00:00:41,690 --> 00:00:46,470 +لعشر قوة تمانتاشر these T lymphocytes are + +9 +00:00:46,470 --> 00:00:51,770 +different but all have the same antigen receptor + +10 +00:00:51,770 --> 00:00:56,550 +على سطحها سموا هذا ال antigen receptor TCR T cell + +11 +00:00:56,550 --> 00:01:04,840 +receptorوبيتكون هذا TCR من خلال جينات بتتصفط زي ما + +12 +00:01:04,840 --> 00:01:08,080 +صار في الـ B-Lymphocytes فيه restriction enzyme و + +13 +00:01:08,080 --> 00:01:12,700 +فيه recombinase enzyme التانين بيشتركوا في تحريك + +14 +00:01:12,700 --> 00:01:17,160 +الجينات و تصفيتها مرة تانية و تصنيع ال TCR اللي + +15 +00:01:17,160 --> 00:01:20,720 +مطلوب و في كل مرة بتصفط و تصفيتها مختلفة وبالتالي + +16 +00:01:20,720 --> 00:01:25,360 +بيدونا في كل مرة TCR مختلف و بيكونوا ال TCR + +17 +00:01:25,360 --> 00:01:29,840 +repertoire في النهايةزي ما الـ B-Lymphocyte اتكونت + +18 +00:01:29,840 --> 00:01:41,080 +لنا الـ Aminoglobulin Repertoire ال + +19 +00:01:41,080 --> 00:01:48,900 +majority of this TCR هذا الـ TCR هو عبارة عن Two + +20 +00:01:48,900 --> 00:01:54,740 +Chain Transmembrane Molecule Alpha Beta 90% من هذا + +21 +00:01:54,740 --> 00:01:58,430 +الـ TCR هو عبارة عن Alpha Betaوهي بيتكون من + +22 +00:01:58,430 --> 00:02:05,670 +Transmembrane ها يعني في جزء في داخل الخلية وزي ما + +23 +00:02:05,670 --> 00:02:11,010 +قلنا في جزء خارج الخلية ماشي و أيضا يتكون من + +24 +00:02:11,010 --> 00:02:15,930 +Variable Region و Constant Region يعني ال Variable + +25 +00:02:15,930 --> 00:02:21,940 +Region هو برع ال Extra Cellular Portionو يشبه ال + +26 +00:02:21,940 --> 00:02:26,600 +fab region في ال antibody هو اللى بيرتبط فى مين فى + +27 +00:02:26,600 --> 00:02:35,040 +ال antigen from alpha beta TCR بيرتبط مع ال + +28 +00:02:35,040 --> 00:02:39,420 +antigenic peptide اللى ممسوك بالامش C موليكيولى + +29 +00:02:39,420 --> 00:02:44,060 +على سطح ال host cell و بالظبط + +30 +00:02:46,940 --> 00:02:52,440 +هذه هي صورة موضحة هي عبارة عن antigen presenting + +31 +00:02:52,440 --> 00:02:56,580 +cell عبارة عن host cell على سطحها ماسيري و كيور + +32 +00:02:56,580 --> 00:02:59,140 +مرتبط بالبيبتايد + +33 +00:03:00,880 --> 00:03:04,780 +وهي بيجي الـ T lymphocyte بالـ TCR تبعتها اللي زي + +34 +00:03:04,780 --> 00:03:08,040 +ما قولنا الـ Extracellular portion اللي هو عبارة + +35 +00:03:08,040 --> 00:03:11,180 +عن variable portion وبما ان طوبة بتاعي يبقى فيه + +36 +00:03:11,180 --> 00:03:15,800 +Alpha وفيه Beta هم اللي بيمسكوا ميه في مين في ال + +37 +00:03:15,800 --> 00:03:23,480 +Antigenic بتاعت الممسوقة بال MHC moleculeأيو وفى + +38 +00:03:23,480 --> 00:03:28,460 +عنا طبعا two types of MHC molecule class 1 و class + +39 +00:03:28,460 --> 00:03:34,360 +2 الخلايا + +40 +00:03:34,360 --> 00:03:38,860 +اللى على سطحها طبعا class 2 تقدم ال antigen اللى + +41 +00:03:38,860 --> 00:03:43,280 +telemphocyte بس من نوع CD4 و زى ما انتوا شايفين ال + +42 +00:03:43,280 --> 00:03:48,760 +CD4 بتبقى ال MHC moleculeوالخلايا الانتجن + +43 +00:03:48,760 --> 00:03:52,400 +presenting cell اللى على سطحها class 1 بتقدم + +44 +00:03:52,400 --> 00:03:59,220 +الانتجن ل CD8 و CD8 ايضا بيمسك دوة فى class 1 MRC + +45 +00:03:59,220 --> 00:04:04,660 +موليكيول يبقى فى restriction هان class 2 بتقدم + +46 +00:04:04,660 --> 00:04:10,360 +الانتجن ل CD4 class 1 بتقدم الانتجن ل CD8 + +47 +00:04:20,700 --> 00:04:29,160 +موجود على سطح المتشور T-Lymphocyte CD4 وCD8 هما + +48 +00:04:29,160 --> 00:04:33,440 +يقومون بتقسيم T-cells into two subtypes Alpha Beta + +49 +00:04:33,440 --> 00:04:37,180 +CD4 وAlpha Beta CD8 The function of these + +50 +00:04:37,180 --> 00:04:44,360 +coreceptor molecules القاتى نمراه واحد بيرتبطبالـ + +51 +00:04:44,360 --> 00:04:47,060 +MHC موليكيولة على سطح الـ Antigen Presenting Cell + +52 +00:04:47,060 --> 00:04:53,340 +وظيفة الـ CD4 و CD8 نمرة واحد بيرتبط بالـ MHC + +53 +00:04:53,340 --> 00:04:56,580 +موليكيولة على سطح الـ Antigen Presenting Cell نمرة + +54 +00:04:56,580 --> 00:05:02,560 +اتنين Titan بيقوّي الـ Adherence between T Cell + +55 +00:05:02,560 --> 00:05:06,720 +and Antigen Presenting Cell هذه تقوية للرابطة اللي + +56 +00:05:06,720 --> 00:05:09,700 +حصلت نمرة ثالثة بلعب دور كبير في Signal + +57 +00:05:09,700 --> 00:05:14,640 +Transduction after activation of TCRالـ Antigen + +58 +00:05:14,640 --> 00:05:21,940 +Binding Alpha Beta Chain of TCR اللي موجودة على + +59 +00:05:21,940 --> 00:05:30,740 +سطح الـ T-cell in a multimolecular complex مرتبطة + +60 +00:05:31,560 --> 00:05:38,360 +بموليكيول بيسموها CD3 و Zeta Polypeptides و هذا ال + +61 +00:05:38,360 --> 00:05:48,780 +structure of TCR as a whole TCR في جنبه CD3 وجنبه + +62 +00:05:48,780 --> 00:05:52,500 +Zeta Polypeptide which act as a signal + +63 +00:05:52,500 --> 00:05:55,940 +transduction unit after antigen binding to alpha + +64 +00:05:55,940 --> 00:05:59,930 +betaيبقى Alpha Beta بيمسك في الـ Antigen لكن اللي + +65 +00:05:59,930 --> 00:06:03,930 +بيعمل Signal Transduction CD3Zeta موليكيولي اللي + +66 +00:06:03,930 --> 00:06:09,000 +جاعت جنب الـ TCRالـ T-cell أيضًا تدعي موليكيول على + +67 +00:06:09,000 --> 00:06:21,840 +الأرض بإضافة + +68 +00:06:21,840 --> 00:06:27,680 +إلى أدواء CD3 زيتا على سطح الـ TCR تلعب دور كبير + +69 +00:06:27,680 --> 00:06:33,520 +في الادهيجين في الcostimulation أيضًا في ال signal + +70 +00:06:33,520 --> 00:06:39,790 +transductionوهي CD28 عبارة عن cost stimulatory وهو + +71 +00:06:39,790 --> 00:06:44,830 +CTLA4 CTLA4 اللي هو cytotoxic lymphocyte antigen + +72 +00:06:44,830 --> 00:06:49,350 +رقم أربع أيضا هو عبارة عن inhibitory cytokine + +73 +00:06:49,350 --> 00:06:56,830 +receptor ثم Integrin lymphocyte function antigen + +74 +00:06:56,830 --> 00:07:04,520 +one هو عبارة عن CD11A CD18والـ VLA Very Late + +75 +00:07:04,520 --> 00:07:07,940 +Antigen 4 CD49D + +76 +00:07:07,940 --> 00:07:29,260 +CD29CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD + +77 +00:07:30,980 --> 00:07:34,760 +لكنه موجود على minor population of human and mouse + +78 +00:07:34,760 --> 00:07:38,640 +T lymphocytes بيقولوا الـ Alpha Beta بشكل حوالي 90 + +79 +00:07:38,640 --> 00:07:45,280 +% من الـ TCR لكن الـ Gamma Delta أقل أو 10% من الـ + +80 +00:07:45,280 --> 00:07:52,600 +TCR Gamma Delta أيضًا expressed على السطح الخلية + +81 +00:07:52,600 --> 00:08:00,350 +مرتبط بـ CD3Zالـ Gamma Delta Positive تسل موجود + +82 +00:08:00,350 --> 00:08:10,270 +على سطح CD4 إلا إن في بعضهم موجود على سطح CD8 والـ + +83 +00:08:10,270 --> 00:08:15,470 +function of Gamma Delta تسل لغاية الآن are not + +84 +00:08:15,470 --> 00:08:20,650 +well understood زي ما احنا بنعرف وظيفة Alpha و + +85 +00:08:20,650 --> 00:08:29,020 +Betaالـ gene coding for Beta, Gamma, Delta تبعت ال + +86 +00:08:29,020 --> 00:08:35,720 +TCR بيصير فيها Allelic Exclusion that is genes + +87 +00:08:35,720 --> 00:08:39,860 +from only one chromosome يا إما maternal يا إما + +88 +00:08:39,860 --> 00:08:44,260 +paternal بينما تبعت Alpha do not show Allelic + +89 +00:08:44,260 --> 00:08:49,310 +Exclusionبيحصل في عنا أربع أنواع من الـ TCR طوليبي + +90 +00:08:49,310 --> 00:08:53,530 +بتاع الـ TCR Alpha, Beta, Gamma, Delta الجينات + +91 +00:08:53,530 --> 00:08:56,090 +بتاعهم Beta, Gamma, Delta بيصير فيهم Allelic + +92 +00:08:56,090 --> 00:08:59,570 +Exclusion وينما Alpha ما بيصير فيها Allelic + +93 +00:08:59,570 --> 00:09:06,550 +Exclusion TCR في الأساس expressed on the surface + +94 +00:09:06,550 --> 00:09:11,770 +of developing T cell during differentiation in the + +95 +00:09:11,770 --> 00:09:16,110 +thymusأحنا عرفنا إنه هي في البداية تتصنع في الـ + +96 +00:09:16,110 --> 00:09:19,350 +bone marrow لكنها في مرحلة مبكرة جدا بتروح على + +97 +00:09:19,350 --> 00:09:22,630 +الthymus و هناك بيصير لها development and + +98 +00:09:22,630 --> 00:09:27,370 +differentiation the diversion development of T + +99 +00:09:27,370 --> 00:09:32,450 +cell using Alpha Beta as their receptor from those + +100 +00:09:32,450 --> 00:09:38,690 +using Gamma Delta يعني إنه الخلية في تطورها تختار + +101 +00:09:38,690 --> 00:09:48,600 +طريق Alpha Beta أو Gamma Deltaلغاية الآن بيصير ايه + +102 +00:09:48,600 --> 00:09:51,700 +اللي in the differentiation pathway in the thymus + +103 +00:09:51,700 --> 00:09:58,920 +بيصير في بدايات اللي هو تكوين ال TCR وين بيصير + +104 +00:09:58,920 --> 00:10:05,910 +بيصير في ال thymusAlpha Beta TCR CD4 CD8 Positive + +105 +00:10:05,910 --> 00:10:11,970 +Thymocytes بيسموها Double Positive Thymocytes or + +106 +00:10:11,970 --> 00:10:17,410 +cells بيسموها Thymic Selection وبالتالي هذا الكلام + +107 +00:10:17,410 --> 00:10:22,490 +بيصير من خلال ال interaction of TCR and coreceptor + +108 +00:10:22,490 --> 00:10:28,950 +molecule على سطح ال T cell وده MC molecule and + +109 +00:10:28,950 --> 00:10:32,570 +بيبتعد expressed by Thymic Non-Lymphoid Cellفي + +110 +00:10:32,570 --> 00:10:39,710 +خلايا اللي هي non-lymphoid cell بتقدم الـ MSC + +111 +00:10:39,710 --> 00:10:44,010 +موليكيول للـ T-lymphocyte والارتباط ما بين الـ T + +112 +00:10:44,010 --> 00:10:48,310 +-cell اللي هي عبارة عن Alpha Beta TCR CD4 Positive + +113 +00:10:48,310 --> 00:10:53,450 +CD8 Positive أو Double Positive Cell والـ MSC + +114 +00:10:53,450 --> 00:10:59,670 +موليكيول هو أساس في عملية اللي هو الـ Thymic + +115 +00:10:59,670 --> 00:11:08,400 +Selectionيوجد خلائة تسمى + +116 +00:11:08,400 --> 00:11:13,600 +Cortical + +117 +00:11:13,600 --> 00:11:24,140 +Epithelial Cell تبدأ تتعلم وتدرب تلينفوسايتز وإذا + +118 +00:11:24,140 --> 00:11:29,680 +كانت كخلية عميلة فهي تتعامل مع الانتجين فقط عندما + +119 +00:11:29,680 --> 00:11:34,030 +تتعامل مع خليةthat express the same MHC molecule + +120 +00:11:34,030 --> 00:11:37,550 +المفروض ان الـ T lymphocyte في هذه المرحلة تتعرف + +121 +00:11:37,550 --> 00:11:47,030 +على قلاي على ال MHC molecule اللي اصلا شافته جابل + +122 +00:11:47,030 --> 00:11:51,270 +هيك during differentiation and thymus ماشي يبقى + +123 +00:11:51,270 --> 00:11:55,150 +اول خطوة احنا بنعلم فيها ال T lymphocyte من خلال + +124 +00:11:55,150 --> 00:12:00,110 +تقديم ال MHC molecule اللي already انشاف جابل هيك + +125 +00:12:00,110 --> 00:12:04,010 +او اتصلنا معاهاduring their differentiation تصنع + +126 +00:12:04,010 --> 00:12:07,250 +معاها during their differentiation اللي هم الـ T + +127 +00:12:07,250 --> 00:12:13,090 +lymphocytes بتروحوا مرتبطة فيه و بيسموه طبعا هذه + +128 +00:12:13,090 --> 00:12:17,090 +الحالة positive selection طبعا اللي بيرتبطوا بال + +129 +00:12:17,090 --> 00:12:21,270 +MSC molecule they are surviving بينما اللي ما + +130 +00:12:21,270 --> 00:12:25,430 +بتعرفوا على MSC molecule بيسموهم بموتو بيابوتوسيز + +131 +00:12:25,430 --> 00:12:30,270 +و بيسمو هذه المرحلة MSC restriction of T cell + +132 +00:12:30,270 --> 00:12:39,070 +responseاللي بعد ذلك بتنزل الـ T lymphocyte deep + +133 +00:12:39,070 --> 00:12:44,470 +in the thymus و بيصير في مرحلة تانية أو selection + +134 +00:12:44,470 --> 00:12:47,670 +تانية بيسموه negative selection كل ما هناك ان + +135 +00:12:47,670 --> 00:12:51,970 +الـdendritic cell at the junction of thymic cortex + +136 +00:12:51,970 --> 00:13:01,450 +and مضلة بتروح وهي removes + +137 +00:13:02,540 --> 00:13:09,620 +T cell خلصة من الـ T lymphocytes اللي عندها القدرة + +138 +00:13:09,620 --> 00:13:13,640 +انها ترتبط مع ال MSC موليكيول اللي ماسك self + +139 +00:13:13,640 --> 00:13:19,740 +-antigen وبالتالي هذا الكلام كل خلايا تمسك تتعرف + +140 +00:13:19,740 --> 00:13:23,420 +على self-antigen it will be removed by apoptosis + +141 +00:13:23,420 --> 00:13:26,500 +and this will ensure self-tolerance this will + +142 +00:13:26,500 --> 00:13:31,540 +ensure self-tolerance وبهذا الحال في هذا المرحلة + +143 +00:13:31,850 --> 00:13:36,230 +طبعا في thymus صار ل الخلية self amnesia + +144 +00:13:36,230 --> 00:13:39,670 +restriction وصار لها self-tolerance صار لها ايش + +145 +00:13:39,670 --> 00:13:42,970 +self-tolerance يبقى مرحلتين positive selection و + +146 +00:13:42,970 --> 00:13:45,430 +negative selection في ال positive selection صار + +147 +00:13:45,430 --> 00:13:49,150 +amnesia restriction of telephysites وفي المرحلة + +148 +00:13:49,150 --> 00:13:53,110 +التانية صار self-tolerance يعني self non self + +149 +00:13:53,110 --> 00:14:00,330 +discrimination alpha beta cd4 positive cd8 + +150 +00:14:00,330 --> 00:14:07,710 +positivethat survived negative selection والله عدت + +151 +00:14:07,710 --> 00:14:11,290 +من ال negative selection هي و الجامعة delta + +152 +00:14:11,290 --> 00:14:15,330 +positive T lymphocytes leave the thymus بيطلعوا من + +153 +00:14:15,330 --> 00:14:21,210 +ال thymus ودولة بيكونوا repertoire of peripheral T + +154 +00:14:21,210 --> 00:14:25,130 +cell in the blood و بيروحوا على ال secondary + +155 +00:14:25,130 --> 00:14:30,270 +lymphoid organs and they respond to non self or + +156 +00:14:30,270 --> 00:14:32,230 +foreign antigen + +157 +00:14:36,190 --> 00:14:44,750 +TCR ريسبتور كومبليكس تكون من الـTCR وCD3 وZeta + +158 +00:14:53,780 --> 00:15:02,960 +و Zeta وهي CD2247 بيشكلوا + +159 +00:15:02,960 --> 00:15:08,940 +الـ TCR اللي CD3 و Zeta والي بيبتعد ما بيرتبطوا في + +160 +00:15:08,940 --> 00:15:12,720 +الانتجن لكن هم دورهم الأساسي Signal Transduction + +161 +00:15:12,720 --> 00:15:17,320 +Molecule بس واجتيش after TCR binding to the + +162 +00:15:17,320 --> 00:15:22,920 +antigen يعني بعد ما اتنشط ال TCR ويرتبطبالـ + +163 +00:15:22,920 --> 00:15:28,840 +Antigen بدوا الـ CD3Z يعملوا Signal Transduction + +164 +00:15:28,840 --> 00:15:32,820 +على نفس النمط اللي صار مع Immunoglobulin Alpha و + +165 +00:15:32,820 --> 00:15:37,080 +Immunoglobulin Beta لجنب الـVCR وعملوا + +166 +00:15:37,080 --> 00:15:42,740 +Transduction هناك After Antigen binding to the + +167 +00:15:42,740 --> 00:15:49,180 +Alpha Beta Chain ال Immunoreceptor tyrosine based + +168 +00:15:49,180 --> 00:15:55,270 +activation motifموجودة أيضًا في الـ CD3 والزيتا + +169 +00:15:55,270 --> 00:16:00,070 +بلعب دور كبير in the early phase of T cell + +170 +00:16:00,070 --> 00:16:03,770 +activation طبعًا مثلًا Phosphorylation يبدو نشطه + +171 +00:16:03,770 --> 00:16:10,990 +Air الـ T lymphocytes هذا هو الـ TCR وظيفته + +172 +00:16:10,990 --> 00:16:17,130 +Antigen Binding جنبه في CD3 هذا هو بيتكون منGamma + +173 +00:16:17,130 --> 00:16:24,150 +Delta Epsilon طبعا هذا بتكون تسمية + +174 +00:16:24,150 --> 00:16:30,730 +تكملة لـ Alpha Beta Gamma Delta وEpsilon جنبهم فيه + +175 +00:16:30,730 --> 00:16:36,190 +Zeta إذا بتلاحظوا اللي هو ال Intracytoplasmic + +176 +00:16:36,190 --> 00:16:43,070 +portion وظيفتهم signal transduction only both TCR + +177 +00:16:43,070 --> 00:16:51,580 +and immunoglobulinو مجموعة أخرى تدعي أن الجسم + +178 +00:16:51,580 --> 00:17:03,000 +تتطور من جين عام و كسرال جميعهم في مجموعة بيطلعون + +179 +00:17:03,000 --> 00:17:07,820 +هذه الأشكال كلها زي ما رأينا في الانتباهي و رأينا + +180 +00:17:07,820 --> 00:17:16,330 +في مجموعة أخرىما هي الفرقات الموجودة ما بين TCR و + +181 +00:17:16,330 --> 00:17:23,450 +Immunoglobulin؟ TCR هو Monovalent ومشبه الـ + +182 +00:17:23,450 --> 00:17:28,190 +Monovalent فهب فرق في Immunoglobulin لأن هذا هو + +183 +00:17:28,190 --> 00:17:35,170 +الاختلاف او التشابه + +184 +00:17:35,170 --> 00:17:39,210 +عفوا هنا هذا TCR هو ده Monovalent لكن + +185 +00:17:39,210 --> 00:17:45,040 +Immunoglobulin هو Dyvalent فهبكل TCR يشبه FAB في + +186 +00:17:45,040 --> 00:17:51,800 +الامينoglobulin ال TCR ريجد هو السبب في ذلك أنه + +187 +00:17:51,800 --> 00:17:57,720 +فيه interaction مستمر بين ال domain بينما + +188 +00:17:57,720 --> 00:18:01,500 +الامينoglobulin flexible فهنا four polypeptide + +189 +00:18:01,500 --> 00:18:08,300 +chain ممسكين في النص يعني يتخلى لهم انتجين وانتجين + +190 +00:18:08,300 --> 00:18:11,580 +وانتجين وانتجين وانتجين وانتجين وانتجين وانتجين + +191 +00:18:11,580 --> 00:18:17,500 +وانتجينالفرق التالت الـ TCR interact with small + +192 +00:18:17,500 --> 00:18:20,600 +fragments of protein ممسوقة على سطح الـ Antigen + +193 +00:18:20,600 --> 00:18:26,960 +-presenting cell مرتبط بالـ MHC موليكيوم ماشي + +194 +00:18:26,960 --> 00:18:32,040 +بينما ال Immunoglobulin can recognize a variety of + +195 +00:18:32,040 --> 00:18:39,750 +structure and shapes of antigenالـ TCR بيختلف + +196 +00:18:39,750 --> 00:18:47,330 +أيضًا عن الـ immunoglobulin أنه فقط وجدت صحراء على + +197 +00:18:47,330 --> 00:18:51,810 +صحراء الممبرينة وليسوا محفوظين في البلازمة زي ما + +198 +00:18:51,810 --> 00:18:53,250 +بنشوف في ال immunoglobulin + +199 +00:18:56,420 --> 00:19:00,560 +الحاجة التانية انه there is no change in TCR + +200 +00:19:00,560 --> 00:19:03,300 +during the response to antigen بينما ال + +201 +00:19:03,300 --> 00:19:06,880 +immunoglobulin بيصير له somatic hyper mutation و + +202 +00:19:06,880 --> 00:19:12,080 +بيصير له class switching أيضا بعد ما يصير فيه + +203 +00:19:12,080 --> 00:19:16,820 +ارتباط بال antigen هذه هي اختلافات ما بين ال TCR و + +204 +00:19:16,820 --> 00:19:20,540 +ما بين ال immunoglobulin و هذه عبارة عن ال + +205 +00:19:21,170 --> 00:19:23,770 +الموليكيول اللى موجودة على سطح الـ Cell membrane + +206 +00:19:23,770 --> 00:19:28,990 +of Telophosphate و لاحظوها الـ TCR جنبه في CD3 + +207 +00:19:28,990 --> 00:19:32,870 +زيتا اللى هو مسؤولين عن ال signal transduction ثم + +208 +00:19:32,870 --> 00:19:37,070 +CD4 او CD8 اللى هو ال coreceptor و ثم + +209 +00:19:37,070 --> 00:19:43,090 +الcostimulatory موليكيول CD28 CD على A4 و في اخر + +210 +00:19:43,090 --> 00:19:47,170 +موليكيول كCD40 legendاللي بيمسك في CD40 على الـ B + +211 +00:19:47,170 --> 00:19:51,410 +-Lymphocyte والـ ECOS اللي بيتمرضه بالـ ECOS + +212 +00:19:51,410 --> 00:19:55,650 +-Ligand اللي على سطح الـ CD4 الـ B-Lymphocyte ثم + +213 +00:19:55,650 --> 00:19:59,190 +فيه adhesive molecule او adhesive molecule زي الـ + +214 +00:19:59,190 --> 00:20:08,670 +FA1 وال VLA4 CD2 CD62 Ligand و هكذا كل عبارة عن + +215 +00:20:08,670 --> 00:20:12,380 +adhesive molecule ثم فيه Chemokine Receptorاللي هو + +216 +00:20:12,380 --> 00:20:18,960 +عبارة عن الـ Chemokine receptor number seven طبعا + +217 +00:20:18,960 --> 00:20:23,280 +هذه التسميات هي leukocyte LCA هو عبارة عن + +218 +00:20:23,280 --> 00:20:27,740 +leukocyte common antigen CTL cytotoxic T + +219 +00:20:27,740 --> 00:20:34,180 +lymphocytes VLA very late antigen CTLA cytotoxic + +220 +00:20:34,180 --> 00:20:39,060 +lymphocyte antigen و LFA lymphocyte functional + +221 +00:20:39,060 --> 00:20:46,700 +antigenالـ Coreceptor، قلنا فيه CD4 وCD8 وقلنا الـ + +222 +00:20:46,700 --> 00:20:49,400 +Immature T lymphocyte اللي بيصل لـ differentiation + +223 +00:20:49,400 --> 00:20:54,500 +في الـ thymus express both CD4 وCD8 واتفقنا على أن + +224 +00:20:54,500 --> 00:20:58,400 +الـ CD4 بيرتبط بـ Class II MHC موليكيول بينما الـ + +225 +00:20:58,400 --> 00:21:05,660 +CD8 بترتبط بالـ MHC Class I موليكيول وإن CD4 وCD8 + +226 +00:21:05,660 --> 00:21:08,900 +تعمل كموليكيول الهيجيني في التعامل مع الـ T cell + +227 +00:21:10,110 --> 00:21:14,030 +يُمثلِط بالـ Antigen-presenting cell وهذا بيقوّي + +228 +00:21:14,030 --> 00:21:16,890 +الرابط ما بين الـ T-cell وAntigen-presenting cell + +229 +00:21:16,890 --> 00:21:21,030 +وإن CD4 و CD8 أيضًا involved in signal + +230 +00:21:21,030 --> 00:21:26,430 +transduction لكن بعد الارتباط بالـ Antigen بعد + +231 +00:21:26,430 --> 00:21:31,550 +ارتباط TCR بالـ Antigen وإن الـ Intracellular + +232 +00:21:31,550 --> 00:21:41,660 +portion of CD4 وCD8 مرتبط أو فيهالـ Thyrosine + +233 +00:21:41,660 --> 00:21:47,840 +Kinase Enzyme وده مهم جدا ان تيس ال activation + +234 +00:21:47,840 --> 00:21:54,120 +pathway اخر حاجة جاله النسبة ما بين ال CD4 to CD8 + +235 +00:21:54,120 --> 00:22:03,880 +CD4 دعفى ال CD2 ل1 cost of natural legend هي اللي + +236 +00:22:03,880 --> 00:22:07,580 +بيصير انه بيصير في ارتباط ما بين احنا قولنا فيه CD + +237 +00:22:07,580 --> 00:22:12,280 +28بيرتبط بالـ B7 على سطح اللي هو الـ Antigen + +238 +00:22:12,280 --> 00:22:16,120 +Presenting Cell هو برهن Co-Stimulatory أو Second + +239 +00:22:16,120 --> 00:22:21,800 +Signal for T Cell Activation Its Co-Stimulation is + +240 +00:22:21,800 --> 00:22:26,000 +required in addition to the interaction of TCR + +241 +00:22:26,000 --> 00:22:32,200 +بالأنتجن وهي بتصير to activate Naive T Cell و الـ + +242 +00:22:32,200 --> 00:22:35,140 +Naive T Cell هي برهن الخلية التي لم تصادف أنتجن + +243 +00:22:35,140 --> 00:22:41,470 +مسبقاوبينما الـ Activated T Cell في على سطحها + +244 +00:22:41,470 --> 00:22:46,610 +أيضًا CTLA4 اللي مرتبط بـ CD28 وده وظيفته + +245 +00:22:46,610 --> 00:22:53,230 +Inhibitory اللي هو موليكيول بيعمل Negative Signal + +246 +00:22:53,230 --> 00:23:00,090 +لـ Activated T-Lymphocytes طبعًا كل الـ T + +247 +00:23:00,090 --> 00:23:03,530 +-Lymphocytes أيضًا على سطحها CD2 وده برنامج + +248 +00:23:03,530 --> 00:23:08,610 +Adhesive موليكيولوبيعمل signal transduction + +249 +00:23:08,610 --> 00:23:17,050 +properties in addition to CD4 and CD8 CD2, + +250 +00:23:17,230 --> 00:23:22,970 +CD4, CD8 are only expressed on T lymphocytes + +251 +00:23:22,970 --> 00:23:32,470 +Integrand هم الـ 1000A1 و VLA4 الـ 1000A1 موجود + +252 +00:23:32,470 --> 00:23:39,140 +على T سلبيرتبط بـ several ligands زي الـ ICAM-1 + +253 +00:23:39,140 --> 00:23:43,240 +على سطح الـ endothelial cell وعلى سطح الـ antigen + +254 +00:23:43,240 --> 00:23:47,180 +-presenting cell زي الـ macrophage و الـdendritic + +255 +00:23:47,180 --> 00:23:52,240 +cell الـ + +256 +00:23:52,240 --> 00:23:57,260 +homing فنومينا كنا بنعرف انه بيصير فيه homing + +257 +00:23:57,260 --> 00:24:00,560 +لكتيرينفوسايت looking after the antigen بتضل تلف + +258 +00:24:00,560 --> 00:24:06,040 +ما بين ال blood والsecondary lymphoid organsاللي + +259 +00:24:06,040 --> 00:24:08,920 +الـ homing phenomena is mediated usually by + +260 +00:24:08,920 --> 00:24:13,920 +موليكيول اللي هو CD62 الـ legend وهو برنامج L + +261 +00:24:13,920 --> 00:24:21,640 +-Selectin موجود على سطح نييف T cell surface بثبت + +262 +00:24:21,640 --> 00:24:26,140 +بجليكوبروتين موليكيول known as adresins موجود على + +263 +00:24:26,140 --> 00:24:32,380 +سطح الخلايا in a specialized region of vascular + +264 +00:24:32,380 --> 00:24:38,420 +endotheliumand at the boundary of the node يعني + +265 +00:24:38,420 --> 00:24:44,280 +على أطراف ال nodes بيكون موجود اللي هو vascular + +266 +00:24:44,280 --> 00:24:49,800 +endothelial cell بيربط + +267 +00:24:49,800 --> 00:24:54,480 +ال tele lymphocytes بهذه + +268 +00:24:54,480 --> 00:24:58,990 +الخلاياهنا اتفقنا على ان الـ T lymphocyte لما + +269 +00:24:58,990 --> 00:25:03,270 +بتصادف انتجين ايضا تاخده تيجي على السطح على ال + +270 +00:25:03,270 --> 00:25:07,310 +secondary lymphoid organs و هناك بتتم عملية ال + +271 +00:25:07,310 --> 00:25:13,710 +activation T cell differentiation قالوا the + +272 +00:25:13,710 --> 00:25:19,330 +developing T lymphocyte او Thymocytes interact + +273 +00:25:19,330 --> 00:25:23,770 +with non lymphoid stromal cell of the thymusفي الـ + +274 +00:25:23,770 --> 00:25:27,650 +Thymus زي الـ Cortical Epithelial Cell وDendritic + +275 +00:25:27,650 --> 00:25:30,810 +Cell اللي موجودة في الـ junction of the Cortex and + +276 +00:25:30,810 --> 00:25:37,830 +Medulla هذه الـ Non-Lymphoid Cell بتزود طبعا + +277 +00:25:37,830 --> 00:25:43,690 +Critical Cell Surface Interaction required for the + +278 +00:25:43,690 --> 00:25:48,650 +development of maturing T Cellأيضًا هذه الخلايا + +279 +00:25:48,650 --> 00:25:53,770 +الـ stromal cell of the thymus can produce IL-7 + +280 +00:25:53,770 --> 00:26:00,310 +which induce proliferation of T and B cell في حالة + +281 +00:26:00,310 --> 00:26:08,970 +الـB وكان ال ratio ما بين T وB تلت أضعاف الـB و + +282 +00:26:08,970 --> 00:26:14,370 +أيضًا هرمون مهم جدًا مسئول عن ال differentiation + +283 +00:26:14,370 --> 00:26:25,630 +of T cellهو الـ Thymosin أو الـ Thymopoietin وهو + +284 +00:26:25,630 --> 00:26:30,550 +عبارة عن ريجلاتري هورمون الـ Thymic Selection قلنا + +285 +00:26:30,550 --> 00:26:33,370 +فيه Positive Selection و فيه Negative Selection و + +286 +00:26:33,370 --> 00:26:38,190 +اتفقنا شرحناهم سابقا ال Positive Selection اللي هو + +287 +00:26:38,190 --> 00:26:42,690 +الـ Double Positive Thymosin كرتبت بالعمل + +288 +00:26:42,690 --> 00:26:48,350 +Simoleculeماشي اللي شاء تصنع معاها في البداية اللي + +289 +00:26:48,350 --> 00:26:52,130 +بتمسك بالأمد شي موليكيه بتتعرف عليه بصير لها + +290 +00:26:52,130 --> 00:26:55,670 +survival بينما اللي ما بتتعرف عليه بتموت by + +291 +00:26:55,670 --> 00:27:01,270 +apoptosis ماشي ال + +292 +00:27:01,270 --> 00:27:07,130 +positive selection متى ما صار بعمل down regulation + +293 +00:27:07,130 --> 00:27:12,470 +لراج واحد وراج اتنين gene وبالتالي بتقلل من عملية + +294 +00:27:12,470 --> 00:27:19,140 +ال gene rearrangementماشي بعد هيكا developing + +295 +00:27:19,140 --> 00:27:25,400 +alpha beta TCR educated to MHC molecule can + +296 +00:27:25,400 --> 00:27:30,460 +respond to antigen يوم ما يرتبط بالاش بال MHC + +297 +00:27:30,460 --> 00:27:35,260 +molecule ال + +298 +00:27:35,260 --> 00:27:38,640 +MHC molecule expressed in the person's eye mass + +299 +00:27:38,640 --> 00:27:42,780 +and that educate his or her developing T + +300 +00:27:42,780 --> 00:27:48,670 +lymphocyte بيسموه selfMHC موليكيول وكل ال other + +301 +00:27:48,670 --> 00:27:54,290 +types of MHC موليكيول هم عبارة عن non self وهذه هي + +302 +00:27:54,290 --> 00:27:59,230 +أساس ظاهرة اللي بنحكي عليها ال MHC restriction + +303 +00:27:59,230 --> 00:28:03,610 +فنومنا ما بين هو عبارة عن self MHC restriction + +304 +00:28:03,610 --> 00:28:08,510 +وهذه عبارة عن central to T cell response ضروري جدا + +305 +00:28:08,510 --> 00:28:12,580 +يكون هي عبارة عن ال MHCهو نفس الامر الـ MSC اللي + +306 +00:28:12,580 --> 00:28:15,140 +سلوا الـ differentiation معاها during its + +307 +00:28:15,140 --> 00:28:22,560 +development negative selection طبعا قلنا انها + +308 +00:28:22,560 --> 00:28:28,780 +بيحصل في ال junction of corticomedullary portion + +309 +00:28:28,780 --> 00:28:36,160 +شو اللي بيحصل ان ال T cell يتقدم لها ال self + +310 +00:28:36,160 --> 00:28:39,940 +-antigen مرتبط بالامر MSC molecule طبعا في هذا + +311 +00:28:39,940 --> 00:28:44,190 +الحالة المفروضتميز بين الـ self و الـ non-self + +312 +00:28:44,190 --> 00:28:50,530 +فالخلايا التي ترتبط بالـ self بيموت بـ apoptosis + +313 +00:28:50,530 --> 00:28:56,510 +بينما التي لا ترتبط بالـ cell it will survive الا + +314 +00:28:56,510 --> 00:29:01,870 +اذا كان في خلاياتي الانفوسايتز عندها strong + +315 +00:29:01,870 --> 00:29:07,350 +reactivity to self component وتركت + +316 +00:29:07,350 --> 00:29:12,940 +الthymus تطلع براIt can interact with the antigen + +317 +00:29:12,940 --> 00:29:17,300 +ويمكن تعمل autoimmune disease ويمكن تعمل + +318 +00:29:17,300 --> 00:29:20,140 +autoimmune disease عشان نمنع هذا ال negative + +319 +00:29:20,140 --> 00:29:21,420 +selection مصير عشان نمنع هذا ال negative selection + +320 +00:29:21,420 --> 00:29:22,940 +مصير هلأ في ال negative selection هلأ في ال + +321 +00:29:22,940 --> 00:29:25,980 +negative selection زي ما قلنا ان هذه الخلايا + +322 +00:29:25,980 --> 00:29:31,940 +بتتعلم تفرج ما بين ال self و ال non-self antigen + +323 +00:29:31,940 --> 00:29:36,840 +هلأ بعد ذلك ال double positive interact with the + +324 +00:29:36,840 --> 00:29:39,020 +MSC expressed on the dendritic cell + +325 +00:29:42,480 --> 00:29:49,240 +اللي عندها too high affinity TCR طبعا تي سيل اللي + +326 +00:29:49,240 --> 00:29:53,820 +هي expressing TCR that react with too high + +327 +00:29:53,820 --> 00:29:56,160 +affinity to the recombination of amethyst and + +328 +00:29:56,160 --> 00:30:03,420 +peptide they are طبعا deleted by apoptosisوبالتالي + +329 +00:30:03,420 --> 00:30:07,160 +الـ Negative Selection هو عبارة عن عملية بنفرق + +330 +00:30:07,160 --> 00:30:10,700 +فيها ما بين الـ Self و الـ Non-Self بعد هيك الـ + +331 +00:30:10,700 --> 00:30:15,580 +Double Positive بيصير لها ال .. بيصير لها + +332 +00:30:15,580 --> 00:30:21,900 +Surviving ماشي بيصير فيك عندها Down Regulation + +333 +00:30:21,900 --> 00:30:28,690 +لواحد من التانين CD4 أو CD8 وبتبدأ الخلية تتميزاما + +334 +00:30:28,690 --> 00:30:34,850 +CD4 واما CD8 وكل خلايا اللى بتطلع بتكون عندها + +335 +00:30:34,850 --> 00:30:37,450 +خاصيتين الخاصية الأولانية self-emphasis + +336 +00:30:37,450 --> 00:30:45,630 +restriction و الخاصية التانية self-tolerant دول ال + +337 +00:30:45,630 --> 00:30:51,010 +autoimmune regulatory gene in negative selection + +338 +00:30:52,250 --> 00:30:55,370 +كانوا طالعين بسؤال نطرح نفسه انه كيف الـ self + +339 +00:30:55,370 --> 00:31:01,790 +-tolerance بيصير لـ self-antigen outside the + +340 +00:31:01,790 --> 00:31:06,170 +thymus احنا علمنا الخلية في داخل الـ thymus طب + +341 +00:31:06,170 --> 00:31:10,550 +برضه الـ thymus هتشوف بعض ال self-antigen اللي ناس + +342 +00:31:10,550 --> 00:31:16,320 +خدفته و اتشافته قبلين و اتعلمت عليهالدراسات قالت + +343 +00:31:16,320 --> 00:31:21,180 +تثبت بالدراسات من خلال دراسات that at least some + +344 +00:31:21,180 --> 00:31:24,140 +of cell molecules normally synthesized by tissue + +345 +00:31:24,140 --> 00:31:27,900 +outside the thymus بعض الانتجنات اللي بتتصنع برا + +346 +00:31:27,900 --> 00:31:32,860 +ال thymus بما فيها الانسولين و الthyroglobulin + +347 +00:31:32,860 --> 00:31:36,680 +والميلين بيزيك بروتين كل عبارة عن ايه عشان عبارة + +348 +00:31:36,680 --> 00:31:40,660 +عن بروتين بتتصنع خارج اللي هو ال thymus those + +349 +00:31:40,660 --> 00:31:45,130 +proteins are expressed by epithelialفي خلايا + +350 +00:31:45,130 --> 00:31:49,890 +ابيثيلية they express these proteins مرتبط + +351 +00:31:49,890 --> 00:31:56,210 +بالأمهات C موليكيول أيضا فيهاش في المضلة وإن الناس + +352 +00:31:56,210 --> 00:32:05,470 +اللي انه + +353 +00:32:05,470 --> 00:32:10,730 +these studies أيضا استكملها للموضوع بتقترح ان + +354 +00:32:10,730 --> 00:32:17,750 +المضلة الابيثيلية cellsو اكتشاف اكتشاف اكتشاف + +355 +00:32:17,750 --> 00:32:19,190 +اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف + +356 +00:32:19,190 --> 00:32:19,330 +اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف اكتشاف + +357 +00:32:19,330 --> 00:32:21,470 +اكتشاف اكتشاف اكتشاف اكتشاف اكتشف اكتشف اكتشف + +358 +00:32:21,470 --> 00:32:25,070 +اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف + +359 +00:32:25,070 --> 00:32:26,650 +اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف اكتشف + +360 +00:32:26,650 --> 00:32:38,990 +اكتشف اكتشف اكتشف اكتشف اكت + +361 +00:32:39,020 --> 00:32:42,500 +in the thymic medullary epithelial cells بلعب دوري + +362 +00:32:42,500 --> 00:32:46,880 +كبير في عملية ال expression of this molecule وإن + +363 +00:32:46,880 --> 00:32:53,040 +الناس اللي ما عندها ال autoimmune regulatory gene + +364 +00:32:53,040 --> 00:33:01,700 +product they are lacking of this gene بيصير عندهم + +365 +00:33:01,700 --> 00:33:07,940 +deletion of autoreactive T lymphocyte impairment + +366 +00:33:09,310 --> 00:33:13,890 +وبالتالي المحصلة autoimmune response أو autoimmune + +367 +00:33:13,890 --> 00:33:19,090 +disease زي ال autoimmune polyendocrinopathy + +368 +00:33:19,090 --> 00:33:25,590 +candidiasis اكتر اكتر درمل دستروفي وهذا سندروم in + +369 +00:33:25,590 --> 00:33:31,610 +which multiple endocrine organ are targeted are + +370 +00:33:31,610 --> 00:33:34,730 +targeted يعني الناس اللي ما عندهم autoimmune + +371 +00:33:34,730 --> 00:33:43,100 +regulatory geneOrigin product ماشي They will + +372 +00:33:43,100 --> 00:33:47,000 +produce + +373 +00:33:47,000 --> 00:33:55,760 +autoimmune disease بدنا ناخد فعل اعتبار انه بعد ان + +374 +00:33:55,760 --> 00:34:01,700 +اضلت احنا قلنا ال famous بروح ماشي الا بس not الا + +375 +00:34:01,700 --> 00:34:06,900 +ان عيابه لا يؤثر علىالتي سيل برودكشن وهو يجاله في + +376 +00:34:06,900 --> 00:34:12,240 +two explanation لهذه الفرضية الفرضية الاولان انه + +377 +00:34:12,240 --> 00:34:15,980 +في remnant of thymus this remnant of thymus can + +378 +00:34:15,980 --> 00:34:20,950 +produce T lymphocyteوأكيد في extra side that takes + +379 +00:34:20,950 --> 00:34:26,410 +over فيما كماكن أخرى بدل ال thymus ممكن تصنع اللي + +380 +00:34:26,410 --> 00:34:32,090 +هو ال telemphocytes however ولكن if thymus is + +381 +00:34:32,090 --> 00:34:36,970 +removed تيسل are made somewhere تتصنع way في مكان + +382 +00:34:36,970 --> 00:34:44,790 +آخروهذا ماشي الكلام مع التفسير رقم اتنين اللي هو + +383 +00:34:44,790 --> 00:34:52,470 +فيه extra sides that takes over the mission طبعا + +384 +00:34:52,470 --> 00:34:58,750 +some children ممكن ينولدوا with thymus that failed + +385 +00:34:58,750 --> 00:35:05,320 +to develop correctly in uteroو بيعملوا مرض بيسموه + +386 +00:35:05,320 --> 00:35:09,540 +Digest Syndrome ما بيصنع هذا الطفل T lymphocyte at + +387 +00:35:09,540 --> 00:35:15,180 +all لأن already ال thymus عنده is not developed + +388 +00:35:15,180 --> 00:35:22,320 +correctly ايضا ال mice اللي عنده ال thymus does + +389 +00:35:22,320 --> 00:35:28,280 +not develop بيسموهم node mice ليش؟ لأن they lack + +390 +00:35:28,280 --> 00:35:33,000 +.. also they lack hair node بيعنيفار ناقص يعني + +391 +00:35:33,000 --> 00:35:39,160 +ناقص فار ناقص ليش لأنه كمان الفار هذا ما شمهاش ما + +392 +00:35:39,160 --> 00:35:45,160 +بيطلعلوش شعر في كامة الحالتين T lymphocyte do not + +393 +00:35:45,160 --> 00:35:53,910 +develop و T cell responses are defectiveهذا عبارة + +394 +00:35:53,910 --> 00:35:56,470 +عن development of T lymphocyte و هذه المراحل + +395 +00:35:56,470 --> 00:36:00,350 +المختلفة اللي بتمر فيها و لاحظوا انه في عندنا هنا + +396 +00:36:00,350 --> 00:36:05,730 +خلايا بتموت عمالها في هذه المراحل اللي هي ال في ال + +397 +00:36:05,730 --> 00:36:09,070 +positive و ال negative selection اي ال stem cell + +398 +00:36:09,070 --> 00:36:16,630 +في البداية بيكونش على سطحها marker ثم بيتولد CD4 + +399 +00:36:16,630 --> 00:36:22,800 +CD8 TCR والله اللي بتتعرف على ال MSC moleculeتبعها + +400 +00:36:22,800 --> 00:36:26,880 +will survive ولي ما بتتعرف it will die by + +401 +00:36:26,880 --> 00:36:32,480 +apoptosis هدول اللي عاشوا بيمتحنوا مرة تانية في + +402 +00:36:32,480 --> 00:36:37,620 +المضلة او على طرف المضلة انهم بتقدم اللي هم ال TCR + +403 +00:36:37,620 --> 00:36:43,760 +بتقدم ال MSC مرتبط ب self antigen اللي بتعرف .. + +404 +00:36:43,760 --> 00:36:47,820 +اللي ما بتعرف will survive ولي بتعرف survive طبعا + +405 +00:36:47,820 --> 00:36:55,100 +بعد هيك الخلية بتصير اما CD4 واما CD8فروقات ما بين + +406 +00:36:55,100 --> 00:37:00,920 +الـ T-lymphocyte و الـ B-lymphocyte فينا جدول طويل + +407 +00:37:00,920 --> 00:37:04,660 +عريض ايه نمرا واحد انتجن ريسبتور على الارض التاني + +408 +00:37:04,660 --> 00:37:08,260 +ان عندهم انتجن ريسبتور واحد اسمه TCR والتاني اسمه + +409 +00:37:08,260 --> 00:37:12,160 +PCR recognition on processed peptide plus MRC and + +410 +00:37:12,160 --> 00:37:15,340 +Recure T-lymphocyte تحتاج الى انتجن presenting + +411 +00:37:15,340 --> 00:37:19,060 +cell بينما الـ B-lymphocyte لا تحتاج ال + +412 +00:37:19,060 --> 00:37:22,980 +requirement for antigen presentationطبعا الـ T + +413 +00:37:22,980 --> 00:37:26,620 +lymphocyte لا تقوم بعملية الـ presentation بينما + +414 +00:37:26,620 --> 00:37:31,700 +الـ B lymphocyte تقوم IGM on the surface موجود على + +415 +00:37:31,700 --> 00:37:35,700 +سطح الـ B lymphocytes CD3 موجود على سطح الـ T + +416 +00:37:35,700 --> 00:37:40,340 +lymphocytes الـ clonal expansion التانين عندهم بعد + +417 +00:37:40,340 --> 00:37:44,540 +ما ترتبط بالـ antigen Monoglobulin synthesis فقط + +418 +00:37:44,540 --> 00:37:48,280 +الـ B lymphocyte regulator of antibody synthesis + +419 +00:37:48,280 --> 00:37:53,150 +هذا دور الـ T lymphocyteالـ cytokine release أيضًا + +420 +00:37:53,150 --> 00:37:57,130 +من الـ T-lymphocytes if cell-mediated immunity + +421 +00:37:57,130 --> 00:38:00,750 +بتكون فيها الـ T-lymphocytes maturation in the + +422 +00:38:00,750 --> 00:38:04,730 +thymus أيضًا الـ T-lymphocytes و maturation in the + +423 +00:38:04,730 --> 00:38:10,450 +bone marrow بتكون تختص بالـ A-H بالـ B-lymphocytes + +424 +00:38:10,450 --> 00:38:15,630 +بدنا ناخد برضه فعل اعتبار عشان ننسى ان الـ NK cell + +425 +00:38:15,630 --> 00:38:22,340 +و الـ NKT cell أيضًا developed in the thymusوكمان + +426 +00:38:22,340 --> 00:38:28,920 +في تي ريج هي عبارة عن نوع من ال CD4 T-lymphocytes + +427 +00:38:28,920 --> 00:38:35,240 +لكن على سطح CD25 بتلعب دور كبير كregulator بتعمل + +428 +00:38:35,240 --> 00:38:39,640 +inhibitory response for both self and for an + +429 +00:38:39,640 --> 00:38:44,880 +antigen وإنه both CD4 وCD8 تنتين بيطلعوا من + +430 +00:38:44,880 --> 00:38:47,700 +الthymus بيروحوا على blood ثم secondary lymphoid + +431 +00:38:47,700 --> 00:38:53,670 +organs looking after antigenonce .. once .. once + +432 +00:38:53,670 --> 00:39:00,850 +يعني they connect with antigen سلهم activation and + +433 +00:39:00,850 --> 00:39:05,090 +differentiation و بتحولوا ل effector cell و طبعا + +434 +00:39:05,090 --> 00:39:15,370 +بعضهم بيتحول بيصير memory cell وهذا هي الحدوتة و + +435 +00:39:15,370 --> 00:39:23,410 +نرجو أن تكونوا قد استمتعتم ان شاء اللهبنعيش بهذه + +436 +00:39:23,410 --> 00:39:24,190 +المحاضرة + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0_raw.json b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/y5lo8NNhTS0_raw.json new file mode 100644 index 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"word": " و", "probability": 0.88916015625}, {"start": 79.3, "end": 79.76, "word": " تصفيتها", "probability": 0.95341796875}, {"start": 79.76, "end": 80.32, "word": " مختلفة", "probability": 0.9930419921875}, {"start": 80.32, "end": 80.72, "word": " وبالتالي", "probability": 0.87900390625}, {"start": 80.72, "end": 81.2, "word": " بيدونا", "probability": 0.6448974609375}, {"start": 81.2, "end": 81.34, "word": " في", "probability": 0.94921875}, {"start": 81.34, "end": 81.52, "word": " كل", "probability": 0.990234375}, {"start": 81.52, "end": 81.86, "word": " مرة", "probability": 0.990966796875}, {"start": 81.86, "end": 82.92, "word": " TCR", "probability": 0.892578125}, {"start": 82.92, "end": 83.58, "word": " مختلف", "probability": 0.9925130208333334}, {"start": 83.58, "end": 84.22, "word": " و", "probability": 0.8720703125}, {"start": 84.22, "end": 84.82, "word": " بيكونوا", "probability": 0.86962890625}, {"start": 84.82, "end": 84.92, "word": " ال", "probability": 0.50634765625}, 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{"start": 364.21, "end": 364.57, "word": " جنب", "probability": 0.9373372395833334}, {"start": 364.57, "end": 364.73, "word": " الـ", "probability": 0.803955078125}, {"start": 364.73, "end": 365.19, "word": " TCR", "probability": 0.776611328125}], "temperature": 1.0}, {"id": 16, "seek": 39412, "start": 366.66, "end": 394.12, "text": "الـ T-cell أيضًا تدعي موليكيول على الأرض بإضافة إلى أدواء CD3 زيتا على سطح الـ TCR تلعب دور كبير في الادهيجين في الcostimulation أيضًا في ال signal transduction", "tokens": [6027, 39184, 314, 12, 4164, 36632, 11242, 14111, 995, 6055, 3215, 3615, 1829, 3714, 12610, 1829, 4117, 1829, 12610, 15844, 16247, 43042, 4724, 28814, 11242, 31845, 3660, 30731, 5551, 3215, 2407, 16606, 6743, 18, 30767, 36081, 995, 15844, 8608, 9566, 5016, 2423, 39184, 314, 18547, 6055, 1211, 3615, 3555, 11778, 13063, 9122, 3555, 13546, 8978, 2423, 18513, 3224, 1829, 7435, 9957, 8978, 2423, 27718, 332, 2776, 36632, 11242, 14111, 995, 8978, 2423, 6358, 1145, 40335], "avg_logprob": 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{"start": 418.11, "end": 418.23, "word": " عن", "probability": 0.97705078125}, {"start": 418.23, "end": 420.09, "word": " CD11A", "probability": 0.9254557291666666}, {"start": 420.09, "end": 421.17, "word": " CD18", "probability": 0.641357421875}], "temperature": 1.0}, {"id": 18, "seek": 44926, "start": 421.76, "end": 449.26, "text": "والـ VLA Very Late Antigen 4 CD49D CD29CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD", "tokens": [2407, 6027, 39184, 691, 11435, 4372, 31220, 5130, 3213, 1017, 6743, 14938, 35, 6743, 11871, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 17, 16508, 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"compression_ratio": 6.490909090909091, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 421.76, "end": 422.64, "word": "والـ", "probability": 0.3860677083333333}, {"start": 422.64, "end": 423.76, "word": " VLA", "probability": 0.832275390625}, {"start": 423.76, "end": 424.14, "word": " Very", "probability": 0.162109375}, {"start": 424.14, "end": 424.52, "word": " Late", "probability": 0.92529296875}, {"start": 424.52, "end": 425.2, "word": " Antigen", "probability": 0.98095703125}, {"start": 425.2, "end": 426.12, "word": " 4", "probability": 0.260986328125}, {"start": 426.12, "end": 427.94, "word": " CD49D", "probability": 0.5896809895833334}, {"start": 427.94, "end": 449.26, "word": " CD29CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD2CD", "probability": 0.9608264218009479}], "temperature": 1.0}, {"id": 19, "seek": 47476, "start": 450.98, "end": 474.76, "text": "لكنه موجود على minor population of human and mouse T lymphocytes بيقولوا الـ Alpha Beta بشكل حوالي 90% من الـ TCR لكن الـ Gamma Delta أقل أو 10% من الـ TCR Gamma Delta أيضًا expressed على السطح الخلية مرتبط بـ CD3Z", "tokens": [1211, 19452, 3224, 3714, 29245, 23328, 15844, 6696, 4415, 295, 1952, 293, 9719, 314, 31070, 905, 43673, 4724, 1829, 39648, 14407, 2423, 39184, 20588, 33286, 4724, 8592, 28820, 11331, 2407, 6027, 1829, 4289, 4, 9154, 2423, 39184, 314, 18547, 44381, 2423, 39184, 24723, 1696, 18183, 5551, 4587, 1211, 34051, 1266, 4, 9154, 2423, 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"probability": 0.9248046875}, {"start": 454.76, "end": 455.4, "word": " T", "probability": 0.88720703125}, {"start": 455.4, "end": 456.18, "word": " lymphocytes", "probability": 0.8055013020833334}, {"start": 456.18, "end": 457.0, "word": " بيقولوا", "probability": 0.671875}, {"start": 457.0, "end": 457.16, "word": " الـ", "probability": 0.5233154296875}, {"start": 457.16, "end": 457.3, "word": " Alpha", "probability": 0.49365234375}, {"start": 457.3, "end": 457.6, "word": " Beta", "probability": 0.262451171875}, {"start": 457.6, "end": 458.04, "word": " بشكل", "probability": 0.76171875}, {"start": 458.04, "end": 458.34, "word": " حوالي", "probability": 0.8773193359375}, {"start": 458.34, "end": 458.64, "word": " 90", "probability": 0.7470703125}, {"start": 458.64, "end": 458.98, "word": "%", "probability": 0.95654296875}, {"start": 458.98, "end": 459.94, "word": " من", "probability": 0.97705078125}, {"start": 459.94, "end": 460.12, "word": " الـ", "probability": 0.659423828125}, 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understood زي ما احنا بنعرف وظيفة Alpha و Beta", "tokens": [6027, 39184, 24723, 1696, 18183, 46326, 6055, 3794, 1211, 3714, 29245, 23328, 15844, 8608, 9566, 5016, 6743, 19, 11933, 15040, 36145, 8978, 45030, 11242, 16095, 3714, 29245, 23328, 15844, 8608, 9566, 5016, 6743, 23, 16070, 39184, 2445, 295, 24723, 1696, 18183, 6055, 3794, 1211, 5296, 17082, 995, 10632, 6024, 48506, 366, 406, 731, 7320, 30767, 1829, 19446, 1975, 5016, 8315, 44945, 3615, 28480, 4032, 19913, 33911, 3660, 20588, 4032, 33286], "avg_logprob": -0.2882922409285962, "compression_ratio": 1.3350515463917525, "no_speech_prob": 0.0, "words": [{"start": 476.55, "end": 477.33, "word": "الـ", "probability": 0.5758056640625}, {"start": 477.33, "end": 477.63, "word": " Gamma", "probability": 0.7822265625}, {"start": 477.63, "end": 477.95, "word": " Delta", "probability": 0.76708984375}, {"start": 477.95, "end": 478.57, "word": " Positive", "probability": 0.74853515625}, {"start": 478.57, "end": 479.23, "word": " تسل", 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T lymphocyte لما بتصادف انتجين ايضا تاخده تيجي على السطح على ال secondary lymphoid organs و هناك بتتم عملية ال activation T cell differentiation قالوا the developing T lymphocyte او Thymocytes interact with non lymphoid stromal cell of the thymus", "tokens": [3224, 8315, 1975, 2655, 5172, 4587, 8315, 15844, 16472, 2423, 39184, 314, 31070, 31078, 975, 5296, 15042, 39894, 9381, 18513, 5172, 16472, 2655, 7435, 9957, 1975, 1829, 11242, 995, 6055, 47283, 3215, 3224, 6055, 1829, 7435, 1829, 15844, 2423, 3794, 9566, 5016, 15844, 2423, 11396, 31070, 17079, 20659, 4032, 34105, 4117, 39894, 39237, 6225, 42213, 10632, 2423, 24433, 314, 2815, 38902, 50239, 14407, 264, 6416, 314, 31070, 31078, 975, 1975, 2407, 40010, 3280, 1344, 7269, 4648, 365, 2107, 31070, 17079, 1056, 298, 304, 2815, 295, 264, 258, 4199, 301], "avg_logprob": -0.3307291799121433, "compression_ratio": 1.551111111111111, "no_speech_prob": 0.0, "words": [{"start": 1496.71, "end": 1496.95, "word": "هنا", "probability": 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0.9549153645833334}, {"start": 2049.1, "end": 2050.28, "word": " الفرضية", "probability": 0.85986328125}, {"start": 2050.28, "end": 2051.86, "word": " الاولان", "probability": 0.7200520833333334}, {"start": 2051.86, "end": 2052.24, "word": " انه", "probability": 0.36810302734375}, {"start": 2052.24, "end": 2052.42, "word": " في", "probability": 0.849609375}, {"start": 2052.42, "end": 2052.98, "word": " remnant", "probability": 0.5797119140625}, {"start": 2052.98, "end": 2053.18, "word": " of", "probability": 0.9599609375}, {"start": 2053.18, "end": 2053.72, "word": " thymus", "probability": 0.6209716796875}, {"start": 2053.72, "end": 2054.62, "word": " this", "probability": 0.3388671875}, {"start": 2054.62, "end": 2055.14, "word": " remnant", "probability": 0.927734375}, {"start": 2055.14, "end": 2055.34, "word": " of", "probability": 0.9208984375}, {"start": 2055.34, "end": 2055.74, "word": " thymus", "probability": 0.91015625}, {"start": 2055.74, "end": 2055.98, "word": " can", 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"start": 2077.99, "end": 2102.27, "text": "وهذا ماشي الكلام مع التفسير رقم اتنين اللي هو فيه extra sides that takes over the mission طبعا some children ممكن ينولدوا with thymus that failed to develop correctly in utero", "tokens": [2407, 3224, 15730, 3714, 33599, 1829, 2423, 28820, 10943, 20449, 16712, 36178, 13546, 12602, 4587, 2304, 1975, 2655, 1863, 9957, 13672, 1829, 31439, 8978, 3224, 2857, 4881, 300, 2516, 670, 264, 4447, 23032, 3555, 3615, 995, 512, 2227, 3714, 43020, 7251, 1863, 12610, 3215, 14407, 365, 258, 4199, 301, 300, 7612, 281, 1499, 8944, 294, 2839, 2032], "avg_logprob": -0.20110452020990438, "compression_ratio": 1.2921348314606742, "no_speech_prob": 0.0, "words": [{"start": 2077.99, "end": 2078.99, "word": "وهذا", "probability": 0.6829427083333334}, {"start": 2078.99, "end": 2079.79, "word": " ماشي", "probability": 0.7166341145833334}, {"start": 2079.79, "end": 2080.93, "word": " الكلام", "probability": 0.8733723958333334}, {"start": 2080.93, "end": 2081.71, "word": " 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عليها + +7 +00:00:41,080 --> 00:00:47,760 +الـ Antibody-mediated autoimmune disease + +8 +00:00:47,760 --> 00:00:52,660 +الانتيبودي أيضًا أدركت against normal self-antigen + +9 +00:00:59,500 --> 00:01:05,040 +following infection or modified self-antigen زي ما + +10 +00:01:05,040 --> 00:01:11,680 +يحصل في drug-induced type 2 antibody during طبعًا + +11 +00:01:11,680 --> 00:01:17,520 +binding of drug to certain cell membrane في كل حالة + +12 +00:01:17,520 --> 00:01:24,980 +حالتين target cell is damaged or destroyed ونشوف + +13 +00:01:24,980 --> 00:01:30,600 +أمثلة على ذلك antibody-mediated mechanism تتفاعل مع + +14 +00:01:30,600 --> 00:01:36,380 +هذه التفاعلات الصحيحة + +15 +00:01:36,380 --> 00:01:37,980 + +16 +00:01:37,980 --> 00:01:45,100 + +17 +00:01:45,100 --> 00:01:45,340 + +18 +00:01:58,700 --> 00:02:04,680 +تتنشط الـ complement للآخر أو .. وطبعًا بتكسر + +19 +00:02:04,680 --> 00:02:09,900 +الخلية أو أنّه انتج انتيبودي انتج انتيبودي قعد على + +20 +00:02:09,900 --> 00:02:15,880 +سطح الخلية وعلمها فقط for اللي هو destruction by + +21 +00:02:15,880 --> 00:02:23,180 +extracellular mechanism ميكرافيرلين و polymorphic + +22 +00:02:23,180 --> 00:02:28,120 +nuclear طبعًا البلاد السلسل هي المفاجئة بشكل عام من + +23 +00:02:28,120 --> 00:02:37,260 +هذا الميكانزم ADCC في ADCC نستخدم الـ FC portion + +24 +00:02:37,260 --> 00:02:44,440 +أو الريسيبتور على الكثير من السلسل مثل وادردول الـ + +25 +00:02:44,440 --> 00:02:48,540 +FC في الريسيبتور على سطح الانكسل ميكروفيل + +26 +00:02:48,540 --> 00:02:56,060 +نيوتروفيل زينوفيل ماشي للـ FC portion و IgG فيهم ما + +27 +00:02:56,060 --> 00:03:02,440 +يدخل الانتيبادي يتكون انتيبادي IgG انتيبادي for + +28 +00:03:02,440 --> 00:03:09,110 +certain الخلية هيمسك فيها ويظل فالة من الـ Fc + +29 +00:03:09,110 --> 00:03:12,190 +portion طبعًا هذا اللي هو الـ receptor على سطح كل + +30 +00:03:12,190 --> 00:03:15,750 +الخلية اللي ذكرناها فبتجي الخلية وبتمسك فيه من + +31 +00:03:15,750 --> 00:03:18,810 +خلال الـ receptor وبصير في cell to cell contact + +32 +00:03:18,810 --> 00:03:24,950 +وبتصير الأدوات يعني بتؤدي وظيفتها وقتلها للخلية من + +33 +00:03:24,950 --> 00:03:34,790 +خلال الـ degranulation الـ ILS require contact لكن ما + +34 +00:03:34,790 --> 00:03:38,030 +بيصير فيه phagocytosis أو complement activation كل + +35 +00:03:38,030 --> 00:03:41,630 +اللي بيصير Degranulation بعد ما ترتبط الخلية + +36 +00:03:41,630 --> 00:03:45,310 +بالخلية المصابة أو اللي على سطحها antibody بيصير + +37 +00:03:45,310 --> 00:03:49,190 +في cell to cell contact وبيصير فيه Degranulation + +38 +00:03:51,080 --> 00:03:52,700 +السيل المدينة + +39 +00:03:52,700 --> 00:04:12,360 + +40 +00:04:20,500 --> 00:04:25,860 +مثل الـ Type I Hypersensitivity النوع الثالث اللي + +41 +00:04:25,860 --> 00:04:30,980 +هو Antibody-mediated cellular dysfunction شو اللي + +42 +00:04:30,980 --> 00:04:34,900 +بيصير؟ قالوا الـ Cell Surface بيكون هو الـ Target + +43 +00:04:34,900 --> 00:04:45,480 +Antigen لما Auto Antibody بيثبت بـ Receptors من + +44 +00:04:45,480 --> 00:04:48,850 +هذا النوع الخلية تعمل مفعولة على سطح الخلية بدون أن + +45 +00:04:48,850 --> 00:04:52,570 +تسبب في إصابة أو إنفلام يعني + +46 +00:04:52,570 --> 00:04:56,210 +بيجي antibody وعبارة بتبقى certain receptor على + +47 +00:04:56,210 --> 00:05:01,890 +سطح الخلية بيعمله blocking وبالتالي بيبطل شغال وال + +48 +00:05:01,890 --> 00:05:08,590 +خلية بتفقد وظيفتها شوفين + +49 +00:05:08,590 --> 00:05:12,430 +هي الأنواع كلها هي الـ complement mediated target + +50 +00:05:12,430 --> 00:05:14,330 +cell على سطحها antibody + +51 +00:05:16,860 --> 00:05:21,860 +اللي هو سطح انتيجين معين انتبادي ارتبط فيها مين + +52 +00:05:21,860 --> 00:05:26,240 +ضال فعلته الـ FC portion طبعًا الانتيجن الانتيبادي + +53 +00:05:26,240 --> 00:05:30,340 +Complex بنشر الـ complement والـ complement متى ما + +54 +00:05:30,340 --> 00:05:35,500 +اتنشطت بتروح بتكسر الماء اللي هو الخلية membrane + +55 +00:05:35,500 --> 00:05:40,380 +اتتها Complex وبيصير فيه قتلة الخلية ماشي أول ما + +56 +00:05:40,380 --> 00:05:43,840 +الخلية بتكون already صارت optionized تتعرف عليها + +57 +00:05:43,840 --> 00:05:48,790 +اللي هو الـ macrophage من خلال ارتباط بالـ Fc + +58 +00:05:48,790 --> 00:05:55,150 +portion أو C3P receptor على سطحها وأيضًا تعمل فاجوه + +59 +00:05:55,150 --> 00:06:03,570 +سيتوسس وتخلصنا منها الثاني هو ADCC أنّه انتبادي يتكون + +60 +00:06:03,570 --> 00:06:09,030 +من نصف IgG برتبط بانتيجن أو receptor على سطح الخلية + +61 +00:06:09,030 --> 00:06:12,910 +فبتظل الـ FC portion هو اللي فعلت وهذا الـ FC + +62 +00:06:12,910 --> 00:06:16,390 +portion اللي هو الريسيبتور على سطح خلايا كثيرة من + +63 +00:06:16,390 --> 00:06:21,660 +ضمنها الـ NK والنيتروفيل والإيزنوفيل وبالتالي حتى + +64 +00:06:21,660 --> 00:06:26,200 +المعصد اللي .. لإنه المعصد اللي على سطحها FC + +65 +00:06:26,200 --> 00:06:31,280 +Receptor IgG IgE sorry فالمهم تلتبط وبيصير فيه + +66 +00:06:31,280 --> 00:06:35,440 +Cell to cell contact وبعد هيك بيصير فيه degranulation + +67 +00:06:35,440 --> 00:06:40,140 +لا بيصير فيه destruction ولا complement activation + +68 +00:06:40,140 --> 00:06:43,720 +sorry لا بيصير في complement activation ولا بيصير + +69 +00:06:43,720 --> 00:06:49,930 +في النوع الثالث أنّه هو Antireceptor Antibody زي الـ + +70 +00:06:49,930 --> 00:06:54,110 +Acetylcholine Acetylcholine شو اللي بيصير؟ طبعًا الـ + +71 +00:06:54,110 --> 00:06:59,730 +Acetylcholine كنا بنعرف أنّه هو عبارة عن chemical + +72 +00:06:59,730 --> 00:07:07,170 +messenger ناشي اللي Receptor ده هو على كثير من الـ + +73 +00:07:07,170 --> 00:07:14,020 +muscles فلو تكوين Antibody لـ Acetylcholine الـ + +74 +00:07:14,020 --> 00:07:18,400 +Acetylcholine بيجي بيشتغل بدل على سبتر مشهور + +75 +00:07:18,400 --> 00:07:22,920 +فبالتالي بيبطل اشتغاله وبالتالي ايش؟ بيصير فيه blocking + +76 +00:07:22,920 --> 00:07:27,960 +للريسيبتور من خلال الـ antibody ماشي يبقى الـ antibody + +77 +00:07:27,960 --> 00:07:32,100 +عملت disruption للـ normal function of الريسيبتور وفي + +78 +00:07:32,100 --> 00:07:35,480 +هذه الحالة طبعًا الـ antibody impaired اللي هو الـ + +79 +00:07:35,480 --> 00:07:39,820 +neuromuscular transmission وبيبطل زي ما بيصير في + +80 +00:07:39,820 --> 00:07:41,400 +myasthenia gravis disease + +81 +00:07:46,400 --> 00:07:52,140 +مثال + +82 +00:07:52,140 --> 00:07:57,740 + +83 +00:07:57,740 --> 00:07:57,860 + +84 +00:07:57,860 --> 00:07:59,220 + +85 +00:07:59,220 --> 00:07:59,240 + +86 +00:07:59,240 --> 00:08:00,500 + +87 +00:08:00,500 --> 00:08:04,800 + +88 +00:08:04,800 --> 00:08:12,560 + +89 +00:08:12,850 --> 00:08:19,110 +بيعمل اللي هو immediate اللي هو types of + +90 +00:08:19,110 --> 00:08:25,550 +destruction a person with blood group O has in his + +91 +00:08:25,550 --> 00:08:31,690 +own blood NTA و NTP من + +92 +00:08:31,690 --> 00:08:35,290 +نوع ايش؟ من نوع IgM وبالتالي a blood transfusion + +93 +00:08:35,290 --> 00:08:39,890 +with blood group A على سبيل المثال الـ IgM سيقوم + +94 +00:08:39,890 --> 00:08:43,110 +بتقسيم الـ RBCs ويقوم بتفعيل المزيد من + +95 +00:08:43,110 --> 00:08:43,650 + +96 +00:08:43,650 --> 00:08:44,710 + +97 +00:08:44,710 --> 00:08:47,950 + +98 +00:08:47,950 --> 00:08:48,170 + +99 +00:08:48,170 --> 00:08:51,650 + +100 +00:08:51,650 --> 00:08:52,390 + +101 +00:08:52,390 --> 00:08:55,470 + +102 +00:08:55,470 --> 00:08:59,350 + +103 +00:09:05,650 --> 00:09:12,670 +وبترتبط بـ Cellular Protein وبالتالي + +104 +00:09:12,670 --> 00:09:19,530 +بتكبر وبتصير Immunogen وبتكون لها Antibody اللي + +105 +00:09:19,530 --> 00:09:25,050 +Antibody برتبط with cells coated with the drug + +106 +00:09:25,050 --> 00:09:30,350 +وبالتالي بيصير فيه cytotoxic damage للخلية + +107 +00:09:32,160 --> 00:09:41,480 +مثال من حدث مثل هذا + +108 +00:09:41,480 --> 00:09:52,500 + +109 +00:09:52,500 --> 00:09:57,660 + +110 +00:09:57,660 --> 00:09:58,300 + +111 +00:09:58,300 --> 00:10:01,800 + +112 +00:10:01,800 --> 00:10:07,060 +Rh positive mother Rh negative fetus بيؤدي + +113 +00:10:07,060 --> 00:10:11,180 +إلى تكوين antibody من نوع IgG اللي بينتقل الـ + +114 +00:10:11,180 --> 00:10:15,000 +delivery from the fetus in blood to the mother + +115 +00:10:15,000 --> 00:10:21,640 +وبالتالي بيتكون anti-rh antibody من نوع IgG هدف + +116 +00:10:21,640 --> 00:10:27,180 +الـ second pregnancy بيكون قرص لـ بلاسنته ويروح على الـ + +117 +00:10:27,180 --> 00:10:32,040 +second fetus ويعمل destruction للـ RBC's تبعته عشان + +118 +00:10:32,040 --> 00:10:35,800 +هيك بعطوا administration of anti-rh antibody للأم + +119 +00:10:35,800 --> 00:10:44,060 +في أول 72 ساعة من الاتصال تمنح الـ RH مميزة اتفاقية + +120 +00:10:44,060 --> 00:10:47,790 +Autoimmune reaction involving cell مثل الـ Membrane + +121 +00:10:47,790 --> 00:10:50,930 +Receptor زي مايسينيا غريفز طبعًا شرحناها مايسينيا + +122 +00:10:50,930 --> 00:10:55,830 +غريفز والـ Acetylcholine Receptor طبعًا بيصير فيه + +123 +00:10:55,830 --> 00:11:00,130 +Auto Antibody للـ Acetylcholine Receptor فبيعمل + +124 +00:11:00,130 --> 00:11:03,830 +Blocking وبالتالي بيعمل Disruption للـ Function of + +125 +00:11:03,830 --> 00:11:07,350 +Acetylcholine لأن الـ Acetylcholine بيدور على الـ + +126 +00:11:07,350 --> 00:11:13,370 +Receptor تبعه بيلاقي مشعور In Graves Disease أيضًا + +127 +00:11:13,370 --> 00:11:17,850 +الـ auto-antibody يعمل كـ agonist يعمل استيماليشن + +128 +00:11:17,850 --> 00:11:21,530 +للـ target cell وبالتالي يحصل في إطلاق لـ TSH + +129 +00:11:21,530 --> 00:11:27,810 +طبعًا بعد الارتباط بالـ TSH Receptor وبالتالي يحصل + +130 +00:11:27,810 --> 00:11:31,250 +في استيماليشن تنتج في عدد عالي من البروثيرودزيم. + +131 +00:11:32,530 --> 00:11:35,330 +Autoimmune reaction involving other cells and + +132 +00:11:35,330 --> 00:11:37,370 +membrane determinants + +133 +00:11:39,300 --> 00:11:46,960 +بعض الناس تصنع انتي بودي عادية ضد بلدها وبيعمل + +134 +00:11:46,960 --> 00:11:51,340 +autoimmune hemolytic anemia أو autoimmune + +135 +00:11:51,340 --> 00:11:55,740 +hemolytic reaction فإذا ارتبط بالـ RBC بيعمل + +136 +00:11:55,740 --> 00:12:02,400 +autoimmune hemolytic anemia وبالتالي بيعمل سواء كان + +137 +00:12:02,400 --> 00:12:06,580 +الهيمولاسيز الانترافسكولار أو بعض المرات بايفاجوسايتوسيس + +138 +00:12:06,580 --> 00:12:15,500 +via the FC region receptor + +139 +00:12:15,500 --> 00:12:18,160 +or C3b receptor + +140 +00:12:22,280 --> 00:12:26,240 +هذا ما يتعلق بالـType 2 وType 3 هو Immune Complex + +141 +00:12:26,240 --> 00:12:29,960 +Reaction من الاسم Immune Complex Reaction بس فيه + +142 +00:12:29,960 --> 00:12:34,200 +Antigen Antibody reaction بين الانتجن و IgM IgG ثم + +143 +00:12:34,200 --> 00:12:38,020 +Accumulation في التشيوة وبنشطة complement of cell + +144 +00:12:38,020 --> 00:12:44,640 +destruction لمنطقة ترسبهم في التشيوة ماشي Normally + +145 +00:12:44,640 --> 00:12:48,400 +small amounts of complexes are removed by + +146 +00:12:48,400 --> 00:12:53,600 +phagocytic cells الكومبليكسات تقبض على مصادر IgG-FC + +147 +00:12:53,600 --> 00:12:57,680 +على مصادر الفاجوسيتيكية، مصادر الفاجوسيتيكية، + +148 +00:12:57,680 --> 00:13:05,040 +الـRBCs مع مصادر C3B تقبض على كومبليكس يمكن أن يتم + +149 +00:13:05,040 --> 00:13:09,340 +إيقافه من الجلد، من الجلد من مصادر الـComplement Cell + +150 +00:13:11,220 --> 00:13:16,140 +لما بيزيد كمية الـ Complexes، they deposit in the + +151 +00:13:16,140 --> 00:13:19,760 +tissue، وي trigger a variety of systemic symptoms + +152 +00:13:19,760 --> 00:13:23,080 +known as type 3 hypersensitivity reaction. + +153 +00:13:24,040 --> 00:13:26,680 +Complexes ممكن تترسب على ال kidney، على ال skin، + +154 +00:13:26,680 --> 00:13:30,480 +على ال joint، على ال choroid plexus، and ciliary + +155 +00:13:30,480 --> 00:13:35,020 +artery of the eye. Antigen antibody complex may + +156 +00:13:35,020 --> 00:13:41,090 +fix complement أو تشغّل أفكتورات في النيتروفيل التي + +157 +00:13:41,090 --> 00:13:47,370 +يمكن أن تسبب فيها إدارة ديشو C3A وC5A تم إجراءها + +158 +00:13:47,370 --> 00:13:49,690 +من خلال تشغيل المزيد من المزيد من الميزات التي + +159 +00:13:49,690 --> 00:13:52,510 +يمكن أن تسبب فيها إدارة ديشو + +160 +00:13:55,590 --> 00:13:58,690 +مايكروفاج مدعوم لإطلاق تجارب تجارب تجارب تجارب + +161 +00:13:58,690 --> 00:14:00,410 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +162 +00:14:00,410 --> 00:14:02,190 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +163 +00:14:02,190 --> 00:14:04,170 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +164 +00:14:04,170 --> 00:14:04,390 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +165 +00:14:19,210 --> 00:14:28,210 +الانفلاماتوري اكشن وهو ممكن يؤدي للـ sign of ايش؟ + +166 +00:14:28,210 --> 00:14:33,430 +of type 3 ده هي المراحل الأولاني بيصير في immune + +167 +00:14:33,430 --> 00:14:38,670 +complex formation على ال endothelial cell تبدأ + +168 +00:14:38,670 --> 00:14:43,300 +تتجمع level immune complex ايش؟ هو بترتبط بال + +169 +00:14:43,300 --> 00:14:46,340 +tissue أو بال cell membrane، endothelial cell + +170 +00:14:46,340 --> 00:14:51,980 +membrane، ماشي؟ ايوة، طبعا في الأول كل اللي معاه + +171 +00:14:51,980 --> 00:14:56,750 +هناك خش ال antigen ولجاله ريسبتور على سطح + +172 +00:14:56,750 --> 00:15:00,830 +البيلينفوس هيتنشطها وخلّها بلازمة سلفة كونة + +173 +00:15:00,830 --> 00:15:04,570 +antibody وبدأت كمية كبيرة من ال antigen دهي + +174 +00:15:04,570 --> 00:15:08,950 +fragmented antigen ترتبط ب antibody بكميات كبيرة و + +175 +00:15:08,950 --> 00:15:13,010 +تكون immune complexes اترسبت على وين؟ على جدار + +176 +00:15:13,010 --> 00:15:17,430 +اللي هو ال endothelium اللي هو blood vessel + +177 +00:15:17,430 --> 00:15:22,180 +membrane ماذا يحصل؟ تأتي الـ Neutrophil تخلصنا من + +178 +00:15:22,180 --> 00:15:24,900 +هذه الـ immune complexes وتبدأ لإنه عبارة عن + +179 +00:15:24,900 --> 00:15:29,380 +reticulum endothelial cell أحد أدوات reticulum + +180 +00:15:29,380 --> 00:15:36,840 +endothelial system فتأتي تحاول تخلصنا، ماشي، فشو + +181 +00:15:36,840 --> 00:15:37,440 +اللي بصير؟ + +182 +00:15:40,070 --> 00:15:45,410 +سيتم إكتشافه وإطلاق سايتوكاين طبعا الصيتوكاين في + +183 +00:15:45,410 --> 00:15:52,030 +هذه الحالة ماذا يفعل؟ ينشط هذه الخلايا بيحتوي على + +184 +00:15:52,030 --> 00:15:55,750 +مواد كثيرة جدا من ضمنها Platelet-derived growth + +185 +00:15:55,750 --> 00:16:00,530 +factor بنشط البلاتلت أدوام الجلطة والجرانيول أو + +186 +00:16:00,530 --> 00:16:04,270 +النيوتروفيل بتحاول تاخد الكمبلكس بتقدرش فبتعمل + +187 +00:16:04,270 --> 00:16:09,030 +degranulation ماشي فبصير فيه tissue damage في منطقة + +188 +00:16:09,030 --> 00:16:16,890 +إيش لطبع ال immune complex بال tissue + +189 +00:16:16,890 --> 00:16:26,450 +وهكذا بصير فيه inflammatory reaction Antigen + +190 +00:16:26,450 --> 00:16:30,290 +antibody من ال immune complexes form in the + +191 +00:16:30,290 --> 00:16:34,510 +circulation بصير لها deposition in various tissue + +192 +00:16:35,250 --> 00:16:38,590 +وبصير فيه inflammatory reaction in various tissue + +193 +00:16:38,590 --> 00:16:44,030 +طبعا deposition of + +194 +00:16:44,030 --> 00:16:50,650 +these complexes is influenced by their size فمثلا + +195 +00:16:50,650 --> 00:16:53,910 +small and intermediate complexes which circulate + +196 +00:16:53,910 --> 00:16:58,490 +for longer time tend to be deposited while larger + +197 +00:16:58,490 --> 00:17:01,210 +complexes are rapidly removed by phagocytic cells + +198 +00:17:03,380 --> 00:17:06,280 +Integrity of the mononuclear phagocytic system + +199 +00:17:06,280 --> 00:17:08,640 +influenced the development of systemic immune + +200 +00:17:08,640 --> 00:17:13,960 +complexes طبيعي جدا Serum + +201 +00:17:13,960 --> 00:17:17,880 +sickness disease prototype مثال حي جدا على هذا + +202 +00:17:17,880 --> 00:17:22,500 +الكلام على immune complexes disease treatment with + +203 +00:17:22,500 --> 00:17:27,940 +horse serum containing antibody to some bacterial + +204 +00:17:27,940 --> 00:17:33,300 +toxin من عطاب وبعد مرات بتعطى تبع من الـ Horse + +205 +00:17:33,300 --> 00:17:38,060 +Serum يحتوي على Antibody يعني Passive Treatment + +206 +00:17:38,060 --> 00:17:43,080 +Passive Antibody أو Passive Immunization ماشي + +207 +00:17:43,080 --> 00:17:46,600 +بكتيريا توكسين طبعا التوكسين كميات كبيرة دخلت + +208 +00:17:46,600 --> 00:17:51,980 +Antibody بكميات كبيرة شو اللي بيصير upon second + +209 +00:17:51,980 --> 00:17:53,620 +injection of Horse Serum + +210 +00:17:58,930 --> 00:18:03,350 +طبعا for a human body it will may develop serum + +211 +00:18:03,350 --> 00:18:11,770 +sickness or allergic manifestation احنا + +212 +00:18:11,770 --> 00:18:15,950 +دخلنا في الأول في ال first injection antibody from + +213 +00:18:15,950 --> 00:18:21,470 +horse serum for bacterial toxin طبعا ال antibody + +214 +00:18:21,470 --> 00:18:25,630 +اللي دخل الجسم يعتبره كأنتجن فكونله antibody upon + +215 +00:18:25,630 --> 00:18:30,070 +second Exposure أو Second Injection دخل الانتيبادي + +216 +00:18:30,070 --> 00:18:36,210 +يعتبر أن الانتيبادي دخل الانتيبادي من الهورس طبعا + +217 +00:18:36,210 --> 00:18:39,750 +فيه انتيبادي في ال human وبالتالي ستفعل بين + +218 +00:18:39,750 --> 00:18:43,410 +الانتيجين اللي هو عبارة عن a horse antibody مع + +219 +00:18:43,410 --> 00:18:46,590 +الانتيبادي اللي اتكون له وعمل serum sickness + +220 +00:18:46,590 --> 00:18:48,490 +rheumatic fever + +221 +00:18:51,770 --> 00:18:56,670 +والسيكويل من جروب A Streptococcal infection نشوف + +222 +00:18:56,670 --> 00:19:02,350 +ايش it involves inflammation or damage to the + +223 +00:19:02,350 --> 00:19:07,130 +heart, joint and kidney Streptococcus خشت ماشي + +224 +00:19:07,130 --> 00:19:14,270 +وطبعا كون لها antibody صار فيها antibody reaction + +225 +00:19:14,270 --> 00:19:19,980 +فعلى ترسب على أعضاء كثيرة من الجسم الانتيجن في محطة + +226 +00:19:19,980 --> 00:19:26,060 +الحرارة ومكعبات الستربتوكوكسي يتعامل مع الانتيجن + +227 +00:19:26,060 --> 00:19:31,500 +البشري الموجود في قلب، عضلات، قلبي ورفريتس + +228 +00:19:31,500 --> 00:19:36,180 +وبالتالي الانتيبادي للستربتوكوكسي الانتيجن مرتبط + +229 +00:19:36,180 --> 00:19:41,040 +بهذه المجموعة ويستخدمها اللي هو الانفلاماتورية + +230 +00:19:43,530 --> 00:19:47,170 +بنفس الـ Antigen تبع الـ Streptococcus بـ Self + +231 +00:19:47,170 --> 00:19:52,350 +Antigen و بده الجسم يكوّن Antibody للفرن Antigen + +232 +00:19:52,350 --> 00:19:56,250 +اللي ماسك بـ Self Antigen وبالتالي بيحصل فيه + +233 +00:19:56,250 --> 00:20:02,870 +Tissue Damage Arthras Reaction هو عبارة عن مثال حي + +234 +00:20:02,870 --> 00:20:07,910 +بوال Localized Immune Complex Reaction Local + +235 +00:20:07,910 --> 00:20:12,490 +Inflammatory التجارة التي تم تجريها بعد تجارة + +236 +00:20:12,490 --> 00:20:15,290 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +237 +00:20:15,290 --> 00:20:16,350 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +238 +00:20:16,350 --> 00:20:18,390 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +239 +00:20:18,390 --> 00:20:21,530 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +240 +00:20:21,530 --> 00:20:22,530 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +241 +00:20:22,530 --> 00:20:23,530 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +242 +00:20:23,530 --> 00:20:26,330 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +243 +00:20:26,330 --> 00:20:30,790 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +244 +00:20:30,790 --> 00:20:36,150 +الانتجين التي تم تجريها بعد تجارة + +245 +00:20:39,960 --> 00:20:44,500 +هذا ما يتعلق بالنوع الثالث النوع الرابع والأخير من + +246 +00:20:44,500 --> 00:20:46,740 +الـ Hypersensitivity هو الـ Delayed Type + +247 +00:20:46,740 --> 00:20:52,140 +Hypersensitivity وهذا ما لهش دخل الـ Antibody في + +248 +00:20:52,140 --> 00:20:55,080 +الموضوع وهو عبارة عن Cell Mediated Immunity + +249 +00:20:55,080 --> 00:20:59,800 +Reaction شو اللي بيصير؟ كانت Mediated By T Cell + +250 +00:20:59,800 --> 00:21:04,120 +Dependent Infection Mechanism تتنشط CD4 T Helper 1 + +251 +00:21:04,120 --> 00:21:10,990 +and the CD8 Cytotoxic T Cellو كما قلنا الـ Antibody ما + +252 +00:21:10,990 --> 00:21:14,770 +إيه اللي دخل في الموضوع، برشدور، شو بتعمل الـ T helper + +253 +00:21:14,770 --> 00:21:18,650 +1؟ قالوا upon activation it releases cytokine اللي + +254 +00:21:18,650 --> 00:21:20,910 +بتعمل على الـ accumulation و activation of + +255 +00:21:20,910 --> 00:21:26,410 +macrophage وبالتالي بتعمل local damage لما تتنشط + +256 +00:21:26,410 --> 00:21:32,890 +في delay of onset لأنه type 4 قالوا reaction can + +257 +00:21:32,890 --> 00:21:39,110 +be transferred only with T cellالتجارب اللي ترى + +258 +00:21:39,110 --> 00:21:43,890 +هذا النوع من الإجابة قد تكون تجارب خلية مثل الـ + +259 +00:21:43,890 --> 00:21:48,570 +Allograft Reaction إتراسلولار + +260 +00:21:48,570 --> 00:21:52,690 +براسايد وفيروسين + +261 +00:21:52,690 --> 00:21:59,990 +ميكوبكتيريا فنجاى صليبالبروتين أو جسد مدخل يدخل + +262 +00:21:59,990 --> 00:22:07,420 +الجسد وقبله إلى جسد بروتين يعمل كمهارةبعدة حاجات + +263 +00:22:07,420 --> 00:22:16,800 +ممكن تعمل لنا هذا النوع من الحساسية ماذا + +264 +00:22:16,800 --> 00:22:20,860 +يميز type 4 hypersensitivity clinical feature is + +265 +00:22:20,860 --> 00:22:29,160 +vary تعتمد على sensitizing antigen وكيف دخل major + +266 +00:22:29,160 --> 00:22:34,100 +event leading to type 4 هي الأحداث القاتية + +267 +00:22:35,450 --> 00:22:38,270 +activation of antigen-specific inflammatory T + +268 +00:22:38,270 --> 00:22:43,110 +helper-1 in previously sensitized individual يعني + +269 +00:22:43,110 --> 00:22:47,790 +داخل الانتجين قبل هيك نشطة بـ T helper-1 صار فيه + +270 +00:22:47,790 --> 00:22:53,350 +memory cell ناشي previously sensitized individual + +271 +00:22:53,350 --> 00:22:57,870 +secretion of cytokine by antigen-specific T helper + +272 +00:22:57,870 --> 00:23:02,110 +-cell بيدى الـ Recruitment and Activation of + +273 +00:23:02,110 --> 00:23:06,270 +Antigen Non-Specific Inflammatory Leukocyte + +274 +00:23:06,270 --> 00:23:10,850 +والميكانيزم كالاتم ده هو نمرة واحد Synthetization + +275 +00:23:10,850 --> 00:23:15,610 +Stage وفيه الـ Cytation Stage فالـ Synthetization + +276 +00:23:15,610 --> 00:23:21,870 +هي أنتجت دخل صلوا Injection Subcutaneously تلقفته + +277 +00:23:21,870 --> 00:23:27,730 +أنتجت Presenting Cell وعملتله Processingوهنا مثال + +278 +00:23:27,730 --> 00:23:32,750 +على ناجرهانز cell in the skin زي الـ antigen + +279 +00:23:32,750 --> 00:23:37,350 +-presenting cell طبعاً قمت بعمل processing ليش صار + +280 +00:23:37,350 --> 00:23:45,610 +في هذه الحالة؟ أن الخلايا + +281 +00:23:45,610 --> 00:23:51,370 +هذه طبعاً ممكن تصل اللي هو blood vessels بسهولة + +282 +00:23:51,370 --> 00:23:58,350 +اللي بتتقدم هذه الـ Antigenات لـ T-cell which can + +283 +00:23:58,350 --> 00:24:06,690 +recognize MHC peptide antigen و + +284 +00:24:06,690 --> 00:24:09,590 +تبدأ T-cell لها differentiation يعني تتنشط هذه + +285 +00:24:09,590 --> 00:24:17,870 +تقدمت فصارت تي البروان تكونت ماشي اللي تي البروان + +286 +00:24:17,870 --> 00:24:24,130 +طبعا يعني أفرزت cytokine أو تنشطت وأفرزت cytokine + +287 +00:24:26,610 --> 00:24:31,690 +هلجت صار في أنها طبعا حدث أولاني وخلصنا منه لكن + +288 +00:24:31,690 --> 00:24:37,030 +تتمشيط وتحولت تلاقي vector cell و memory cell + +289 +00:24:37,030 --> 00:24:42,130 +قبل second or antigenic challenge يعني دخل الانتجن + +290 +00:24:42,130 --> 00:24:42,870 +مرة ثانية + +291 +00:24:45,620 --> 00:24:49,720 +it will activate T-Helper cell and cytokine will + +292 +00:24:49,720 --> 00:24:52,980 +recruit the activation of macrophage and other + +293 +00:24:52,980 --> 00:24:57,620 +inflammatory cells هذا هو دخل الانتجين مرة ثانية + +294 +00:24:57,620 --> 00:25:04,520 +يعني تتنشط اللي هو T-Helper I اللي بتنشط النميم + +295 +00:25:04,520 --> 00:25:09,200 +اللي بتنشط اللي هو الـ macrophage المثال على الـ + +296 +00:25:09,200 --> 00:25:13,460 +macrophage طبعا الـ macrophage it will infiltrate + +297 +00:25:15,630 --> 00:25:19,690 +تسبب في مجموعة من البلازما والتشيو دامير الموجودة. + +298 +00:25:21,730 --> 00:25:26,690 +في هذه المراحل دخل الانتجين واخدته الـ Antigen + +299 +00:25:26,690 --> 00:25:31,410 +Presenting Cell ثم قدمته الـ T-Helper Cell واتنشطت + +300 +00:25:31,410 --> 00:25:35,970 +وصار في عيننا already activated T-Helper Cell upon + +301 +00:25:35,970 --> 00:25:42,150 +second exposure this activated cell will release + +302 +00:25:42,150 --> 00:25:46,220 +cytokine وبالتالي بيصير فيه recruitment و + +303 +00:25:46,220 --> 00:25:50,160 +activation لـ macro phage وآخر inflammatory cell + +304 +00:25:50,160 --> 00:25:57,640 +that can penetrate and اللي هو infiltrated tissue + +305 +00:25:57,640 --> 00:26:04,280 +أو الـ blood vessels على سبيل المثال وبالتالي هناك + +306 +00:26:04,280 --> 00:26:09,700 +بيصير فيه tissue damage من macro phage و الـ + +307 +00:26:12,680 --> 00:26:21,540 +سلسلة إنفلامات أخرى الـ Late + +308 +00:26:21,540 --> 00:26:24,240 +-type hypersensitivity reaction أيضًا يتواصل بـ + +309 +00:26:24,240 --> 00:26:29,680 +CD8 تلينفسايد سايتوتوكسيك T-Linfocyte يمكن أن يتم + +310 +00:26:29,680 --> 00:26:37,940 +استعماله وانتشاره في حالة حركة التنسيق للتجارب CD8 + +311 +00:26:39,480 --> 00:26:42,700 +T cell damaged tissue by cell-mediated + +312 +00:26:42,700 --> 00:26:48,680 +cytotoxicity. Activation of CD8 T cell occur as a + +313 +00:26:48,680 --> 00:26:51,820 +consequence of the ability of many lipid soluble + +314 +00:26:51,820 --> 00:26:55,420 +chemical capable of inducing delayed type + +315 +00:26:55,420 --> 00:26:59,180 +hypersensitivity reaction to cross the cell + +316 +00:26:59,180 --> 00:27:05,000 +membrane. مثل + +317 +00:27:05,000 --> 00:27:05,720 +على ذلك + +318 +00:27:10,030 --> 00:27:17,750 +الأمثلة الـ Pentadeca-Catechol هو برعن كيميكال + +319 +00:27:17,750 --> 00:27:24,310 +اللي يدفع إلى البوازين E-V أنه مدفع في + +320 +00:27:24,310 --> 00:27:32,130 +الـCytoplasm لتحضير مدفعين بيبتايد اللي مرتفعين + +321 +00:27:32,130 --> 00:27:35,970 +إلى الـEndoplasmic reticulum ثم يتم تحضيره إلى + +322 +00:27:35,970 --> 00:27:43,910 +المنفذالـ surface مرتبطة بالـ MHC Class 1 موليكيول + +323 +00:27:43,910 --> 00:27:49,870 +اللي صار في cells presenting such modified cell + +324 +00:27:49,870 --> 00:27:59,110 +protein طبعا subsequently damaged or killed by CD8 + +325 +00:27:59,110 --> 00:28:05,190 +يعني هذه عبارة عن مادة كيميائية بتعمل induction + +326 +00:28:05,190 --> 00:28:10,150 +للـpoison EV دخل وخش على الـcytoplasm تفتفت ثم ده + +327 +00:28:10,150 --> 00:28:14,230 +هو وصل الـendoplasm reticulum ويطلع مرتبط على سطح + +328 +00:28:14,230 --> 00:28:18,710 +الخلايا بالـMHC class I موليكيل تقدم لتيه + +329 +00:28:18,710 --> 00:28:23,230 +cytotoxic lymphocytes اللي اتنشطت وعملت damage و + +330 +00:28:23,230 --> 00:28:26,970 +killing لهذا الانتجار أمثل على ذلك contact + +331 +00:28:26,970 --> 00:28:30,290 +sensitivity أو contact dermatitis + +332 +00:28:33,350 --> 00:28:39,730 +طبعا هذا prototype يعني مثال نموذجي of + +333 +00:28:39,730 --> 00:28:44,370 +contact dermatitis is mosin ev dermatitis فأي واحد + +334 +00:28:44,370 --> 00:28:49,130 +بيمسكه بيخش عن طريق الـ epidermis + +335 +00:28:52,630 --> 00:28:57,110 +بفتفت في الـ cytoplasm وهكذا زي ما تقولنا The + +336 +00:28:57,110 --> 00:28:59,670 +offending substance is contained in an oil + +337 +00:28:59,670 --> 00:29:06,470 +secreted by the leaves of poison ivy, vine and + +338 +00:29:06,470 --> 00:29:10,130 +other related plants بعض النباتات بتطلعنا هذه + +339 +00:29:10,130 --> 00:29:15,370 +الموانع اللي لو مسكها ولمسها اللي هو المادة + +340 +00:29:15,370 --> 00:29:21,370 +الزيتية بيصير عنده هذا الـ reaction Oils contain a + +341 +00:29:21,370 --> 00:29:27,050 +mixture of catecholazate اللي هو Dihydroxyphenol + +342 +00:29:27,050 --> 00:29:33,990 +with long hydrocarbon side chain هيعملوا + +343 +00:29:33,990 --> 00:29:40,810 +penetration للسكن من خلال الـ lipofilicity فنومينا + +344 +00:29:40,810 --> 00:29:46,010 +وبرتبطوا covalently to cell associated protein و + +345 +00:29:46,010 --> 00:29:52,570 +بيكونوا Immunogen يبقى في الأساس هم عبارة عن هابتين + +346 +00:29:52,570 --> 00:29:57,250 +ارتبطوا في البروتين اللي هتكوّنوها مثال آخر زي الـ + +347 +00:29:57,250 --> 00:30:05,010 +nickel والـ chrome اللي بيكون موجود في الـ jewelry + +348 +00:30:05,010 --> 00:30:10,670 +هذولة أبيضا مع المدة can induce contact + +349 +00:30:10,670 --> 00:30:15,190 +sensitivity غالبا by chelation to skin protein + +350 +00:30:15,190 --> 00:30:23,350 +برتبطه مع كل cell protein الـ Alergen اللي دخل تطلق + +351 +00:30:23,350 --> 00:30:28,590 +فلان Gerhansel بنشطه البرمجة الـ one الـ clone + +352 +00:30:28,590 --> 00:30:35,210 +و subsequent + +353 +00:30:35,210 --> 00:30:35,810 +contact + +354 +00:30:39,440 --> 00:30:41,780 +مع الـ Synthesizing agent تشغّل مرحلة + +355 +00:30:41,780 --> 00:31:07,280 +الهيبراسيتسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيس + +356 +00:31:08,720 --> 00:31:12,400 +عدد كبير من الـ T lymphocyte برضه بيعمل نفس الـ + +357 +00:31:12,400 --> 00:31:17,860 +reaction إيش الفحوصات؟ for the presence of contact + +358 +00:31:17,860 --> 00:31:25,240 +sensitivity a solution of suspected antigen is + +359 +00:31:25,240 --> 00:31:31,340 +spread on the skin and covered by occlusive + +360 +00:31:31,340 --> 00:31:32,000 +dressing + +361 +00:31:35,380 --> 00:31:41,640 +طبعا خلال ثلاثة أيام تظهر منطقة of induration أو + +362 +00:31:41,640 --> 00:31:50,720 +أريثما وهذه اللي هو indication that the test is + +363 +00:31:50,720 --> 00:31:56,020 +positive tuberculin-type hypersensitivity a + +364 +00:31:56,020 --> 00:32:01,000 +cutaneous inflammatory reaction يتميز by red + +365 +00:32:01,000 --> 00:32:04,760 +swelling of the skin خلال أكثر من أربعين إلى اثنين + +366 +00:32:04,760 --> 00:32:10,020 +أربع وسبعين ساعة اليوم بيعطوا purified protein + +367 +00:32:10,020 --> 00:32:19,960 +derivative أو بيسموه الـ Mantoux test بيعرفوا + +368 +00:32:19,960 --> 00:32:24,280 +إذا كان المريض أو الإنسان previously sensitized to + +369 +00:32:24,280 --> 00:32:28,580 +antigen expressed by mycobacterium tuberculosis + +370 +00:32:33,250 --> 00:32:37,670 +التابعات اللي هو infection of this organism + +371 +00:32:37,670 --> 00:32:41,930 +الانيازينفليه infiltrated by monocyte macrophage + +372 +00:32:41,930 --> 00:32:50,870 +series وشوية lymphocyte طبعا false negatives HIV + +373 +00:32:50,870 --> 00:32:57,890 +patient والذين يحصلون على كيمو ثيرابي عالية بسبب + +374 +00:32:57,890 --> 00:33:02,550 +inhibition من T-cell الفلس نيجاتيف يحدث في حالات + +375 +00:33:02,550 --> 00:33:06,750 +الـ immunodeficiency في حالات الـ HIV person في حالات + +376 +00:33:06,750 --> 00:33:10,390 +الكيمو ثيرابي طبعًا ما فيش مناعة ما فيش T-cell عشان + +377 +00:33:10,390 --> 00:33:15,310 +تتنشط بينما الـ False Positive يحدث في حالات + +378 +00:33:15,310 --> 00:33:18,450 +الـ Vaccination by BCG + +379 +00:33:20,830 --> 00:33:23,670 +الـ Allograft Reaction أو الـ Rejection عفوًا + +380 +00:33:23,670 --> 00:33:27,930 +طبعًا تتعامل مع الـ Late type hypersensitivity + +381 +00:33:27,930 --> 00:33:33,070 +بشكل كورتيكوستيرويد بشكل طبيعي أو بشكل أساسي + +382 +00:33:33,070 --> 00:33:39,610 +الـ Immunosuppressant drugs قد يكون استخدامه في حالات عظيمة + +383 +00:33:39,610 --> 00:33:43,330 +بهيك + +384 +00:33:43,330 --> 00:33:45,990 +بنكون غطينا الأنواع الأربعة من الـ + +385 +00:33:45,990 --> 00:33:53,070 +Hypersensitivity Reaction نتمنى أن تكونوا قد + +386 +00:33:53,070 --> 00:33:58,350 +استمتعتم بها واستفدتم منها diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/yQLz1foapm4_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/yQLz1foapm4_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..e974dbb6f1396d073f9ed70c6e0b108cff1d0a7b --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/yQLz1foapm4_postprocess.srt @@ -0,0 +1,1544 @@ +1 +00:00:04,760 --> 00:00:10,580 +واصلنا المرة اللى فاتت الى type 2 antibody + +2 +00:00:10,580 --> 00:00:15,140 +mediated cytotoxic reaction استكمالا لل + +3 +00:00:15,140 --> 00:00:20,300 +hypersensitivity reaction واتفقنا على ان ال type 2 + +4 +00:00:20,300 --> 00:00:24,100 +هو برنامج cytotoxic reaction ما بين IGG او IGM + +5 +00:00:24,100 --> 00:00:29,380 +وانتجن موجود على سطح الخلايا مسكوا فيه نشطوا + +6 +00:00:29,380 --> 00:00:34,420 +complement كثرة الخلية اللى اشتغلت عليها + +7 +00:00:41,080 --> 00:00:47,760 +الـ Antibody-mediated autoimmune disease + +8 +00:00:47,760 --> 00:00:52,660 +الانتيبودي ايضا ادركت against normal self-antigen + +9 +00:00:59,500 --> 00:01:05,040 +following infection or modified self-antigen زي ما + +10 +00:01:05,040 --> 00:01:11,680 +يحصل في drug-induced O2 antibody during طبعا + +11 +00:01:11,680 --> 00:01:17,520 +binding of drug to certain cell membrane في كل تل + +12 +00:01:17,520 --> 00:01:24,980 +حالتين target cell is damaged or destroyed ونشوف + +13 +00:01:24,980 --> 00:01:30,600 +أمثلة على ذلك antibody-mediated mechanismتتفاعل مع + +14 +00:01:30,600 --> 00:01:36,380 +هذه التفاعلات الصحيحة الصحيحة الصحيحة + +15 +00:01:36,380 --> 00:01:37,980 +الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة + +16 +00:01:37,980 --> 00:01:45,100 +الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة + +17 +00:01:45,100 --> 00:01:45,340 +الصحيحة + +18 +00:01:58,700 --> 00:02:04,680 +تتنشط ال compliment للآخر او .. و طبعا بتكسر + +19 +00:02:04,680 --> 00:02:09,900 +الخلية او انه انتج انتيبودي انتج انتيبودي قعد على + +20 +00:02:09,900 --> 00:02:15,880 +سطح الخلية و علمها فقط for اللي هو destruction by + +21 +00:02:15,880 --> 00:02:23,180 +extracellular mechanism ميكرافيرلين و polymorphic + +22 +00:02:23,180 --> 00:02:28,120 +nuclear طبعابلاد السلسل هي المفاجئة بشكل عام من + +23 +00:02:28,120 --> 00:02:37,260 +هذا الميكانزم ADCC في ADCC نستخدم الـ FC portion + +24 +00:02:37,260 --> 00:02:44,440 +أو الريسيبتور على الكثير من السلسل مثل وادردول ال + +25 +00:02:44,440 --> 00:02:48,540 +FC في الريسيبتور على سطح الانكسل ميكروفيل + +26 +00:02:48,540 --> 00:02:56,060 +نيوتروفيل زينوفيل ماشي لل FC portion و IGGفيوم ما + +27 +00:02:56,060 --> 00:03:02,440 +يدخل الانتيبادي يتكون انتيبادي IGG انتيبادي for + +28 +00:03:02,440 --> 00:03:09,110 +certainالخلية هيمسك فيها ويظل فالة من ال Fc + +29 +00:03:09,110 --> 00:03:12,190 +portion طبعا هذا اللي هو ال receptor على سطح كل + +30 +00:03:12,190 --> 00:03:15,750 +الخلية اللي ذكرناها فبتجي الخلية وبتمسك فيه من + +31 +00:03:15,750 --> 00:03:18,810 +خلال ال receptor وبصير في cell to cell contact + +32 +00:03:18,810 --> 00:03:24,950 +وبتصير الأدوات يعني بتؤدي مظيفتها وقتلها للخلية من + +33 +00:03:24,950 --> 00:03:34,790 +خلال ال degranulation ال ILS require contactلكن ما + +34 +00:03:34,790 --> 00:03:38,030 +بيصير فيه phagocytosis أو complement activation كل + +35 +00:03:38,030 --> 00:03:41,630 +اللي بيصير Degranulation بعد ما ترتبط الخلية + +36 +00:03:41,630 --> 00:03:45,310 +بالخلية المصابة أو اللي على سطحها antibody بيصير + +37 +00:03:45,310 --> 00:03:49,190 +في cell to cell contact و بيصير فيه Degranulation + +38 +00:03:51,080 --> 00:03:52,700 +السيل المدينة + +39 +00:03:52,700 --> 00:04:12,360 +للسيطاتوكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيك + +40 +00:04:20,500 --> 00:04:25,860 +مثل الـ Type I Hypersensitivity النوع التالت اللي + +41 +00:04:25,860 --> 00:04:30,980 +هو Antibody-mediated cellular dysfunction شو اللي + +42 +00:04:30,980 --> 00:04:34,900 +بيصير؟ قالوا الـ Cell Surface بيكون هو الـ Target + +43 +00:04:34,900 --> 00:04:45,480 +Antigen لما Auto Antibody بيثبت بـ Receptors من + +44 +00:04:45,480 --> 00:04:48,850 +هذا النوعالخلية تعمل مفعولة على سطح الخلية بدون أن + +45 +00:04:48,850 --> 00:04:52,570 +تسبب في إصابة إصابة إصابة إصابة أو إنفلام يعني + +46 +00:04:52,570 --> 00:04:56,210 +بيجي antibody وعبارة بتبقى certain receptor على + +47 +00:04:56,210 --> 00:05:01,890 +سطح الخلية بيعمله blocking وبالتالي بيبطل شغال و + +48 +00:05:01,890 --> 00:05:08,590 +الخلية بتفقد وظيفتها شوفين + +49 +00:05:08,590 --> 00:05:12,430 +هي الأنواع كلها هي ال complement mediated target + +50 +00:05:12,430 --> 00:05:14,330 +cell على سطحها antibody + +51 +00:05:16,860 --> 00:05:21,860 +اللي هو سطح انتيجين معين انتبادي ارتبط فيها مين + +52 +00:05:21,860 --> 00:05:26,240 +ضال فعلة ال Fc portion طبعا الانتيجن الانتيبادي + +53 +00:05:26,240 --> 00:05:30,340 +Complex بنشر ال complement و ال complement متى ما + +54 +00:05:30,340 --> 00:05:35,500 +اتنشطت بتروح بتكسر الماء اللي هو الخلية membrane + +55 +00:05:35,500 --> 00:05:40,380 +اتتها Complex و بيصير فيه قتلة الخلية ماشي اول ما + +56 +00:05:40,380 --> 00:05:43,840 +الخلية بتكون already صارت optionized تتعرف عليها + +57 +00:05:43,840 --> 00:05:48,790 +اللي هو ال macro phaseمن خلال ارتباط بال Fc + +58 +00:05:48,790 --> 00:05:55,150 +portion او C3P ريسبتور على سطحها و ايضا تعمل فاجوه + +59 +00:05:55,150 --> 00:06:03,570 +سيتوسس وتخلصنا منهاالثاني هو ADCC انه انتباد يتكون + +60 +00:06:03,570 --> 00:06:09,030 +من نصف IGG برتبط بانتيجن او ريسبتور على سطح الخلية + +61 +00:06:09,030 --> 00:06:12,910 +فبتظل ال Fc portion هو اللي فعلت و هذا ال Fc + +62 +00:06:12,910 --> 00:06:16,390 +portion اللي هو الريسبتور على سطح خلايا كثيرة من + +63 +00:06:16,390 --> 00:06:21,660 +ضمنها ال NK والنيتروفيل والإيزنوفيلوبالتالي حتى + +64 +00:06:21,660 --> 00:06:26,200 +المعصد اللى .. لإنه المعصد اللى على سطحها FC + +65 +00:06:26,200 --> 00:06:31,280 +Receptor IGG IGE sorry فالمهم تلت بط و بيصير فيه + +66 +00:06:31,280 --> 00:06:35,440 +Celtosyl contact و بعد هيك بيصير فيه degranulation + +67 +00:06:35,440 --> 00:06:40,140 +لا بيصير فيه destruction ولا complement activation + +68 +00:06:40,140 --> 00:06:43,720 +sorry لا بيصير في complement activation ولا بيصير + +69 +00:06:43,720 --> 00:06:49,930 +فيالنوع التالت ان هو Antireceptor Antibody زي ال + +70 +00:06:49,930 --> 00:06:54,110 +Acetylcholine Acetylcholine شو اللي بيصير؟ طبعا ال + +71 +00:06:54,110 --> 00:06:59,730 +Acetylcholine كنا بنعرف ان هو عبارة عن chemical + +72 +00:06:59,730 --> 00:07:07,170 +messenger ناشي اللي Receptor ده هو على كثير من ال + +73 +00:07:07,170 --> 00:07:14,020 +musclesفلو تكوين Antibody لـ Acetylcholine الـ + +74 +00:07:14,020 --> 00:07:18,400 +Acetylcholine بيجي بيشتغل بدل على سبتر مشهور + +75 +00:07:18,400 --> 00:07:22,920 +فبتالي بيبطل اشتغلوبالتالي ايش؟ بيصير فيه blocking + +76 +00:07:22,920 --> 00:07:27,960 +للرسبتور من خلال ال antibody ماشي يبقى ال antibody + +77 +00:07:27,960 --> 00:07:32,100 +عملت disruption لل normal function of الرسبتور وفي + +78 +00:07:32,100 --> 00:07:35,480 +هذه الحالة طبعا ال antibody impaired اللي هو ال + +79 +00:07:35,480 --> 00:07:39,820 +neuromuscular transmission و بيبطل زي ما بيصير في + +80 +00:07:39,820 --> 00:07:41,400 +myasthenia gravis disease + +81 +00:07:46,400 --> 00:07:52,140 +مثالات مثالات مثالات + +82 +00:07:52,140 --> 00:07:57,740 +مثالات + +83 +00:07:57,740 --> 00:07:57,860 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +84 +00:07:57,860 --> 00:07:59,220 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +85 +00:07:59,220 --> 00:07:59,240 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +86 +00:07:59,240 --> 00:08:00,500 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +87 +00:08:00,500 --> 00:08:04,800 +مثالات مثالات مثالات + +88 +00:08:04,800 --> 00:08:12,560 +مثالات مثالات + +89 +00:08:12,850 --> 00:08:19,110 +بيعمل اللي هو immediate اللي هو types of + +90 +00:08:19,110 --> 00:08:25,550 +destruction a person with blood group O has in his + +91 +00:08:25,550 --> 00:08:31,690 +own blood NTA و NTP من + +92 +00:08:31,690 --> 00:08:35,290 +نوع ايش؟ من نوع IgM وبالتالي a bone transfusion + +93 +00:08:35,290 --> 00:08:39,890 +with blood group A على سبيل المثالالـ IgM سيقوم + +94 +00:08:39,890 --> 00:08:43,110 +بتقسيم الـ RBCs ويقوم بتفعيل المزيد من المزيد من + +95 +00:08:43,110 --> 00:08:43,650 +المزيد من المزيد من المزيد من المزيد من المزيد من + +96 +00:08:43,650 --> 00:08:44,710 +المزيد من المزيد من المزيد من المزيد من المزيد من + +97 +00:08:44,710 --> 00:08:47,950 +المزيد من المزيد من المزيد من المزيد من المزيد من + +98 +00:08:47,950 --> 00:08:48,170 +المزيد من المزيد من المزيد من المزيد من المزيد من + +99 +00:08:48,170 --> 00:08:51,650 +المزيد من المزيد من المزيد من المزيد من المزيد من + +100 +00:08:51,650 --> 00:08:52,390 +المزيد من المزيد من المزيد من المزيد من المزيد من + +101 +00:08:52,390 --> 00:08:55,470 +المزيد من المزيد من المزيد من المزيد من المزيد من + +102 +00:08:55,470 --> 00:08:59,350 +المزيد من المزيد من المزيد + +103 +00:09:05,650 --> 00:09:12,670 +وبترتبط بـ Cellular Protein وبالتالي + +104 +00:09:12,670 --> 00:09:19,530 +بتكبر وبتصير Immunogen وبتكون لها Antibody اللي + +105 +00:09:19,530 --> 00:09:25,050 +Antibody برتبط with cells coated with the drug + +106 +00:09:25,050 --> 00:09:30,350 +وبالتالي بيصير فيه cytotoxic damage للخلية + +107 +00:09:32,160 --> 00:09:41,480 +مثالات من حدث مثل هذا مثالات من حدث + +108 +00:09:41,480 --> 00:09:52,500 +مثل هذه مثل هذه مثل هذه مثل + +109 +00:09:52,500 --> 00:09:57,660 +هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل + +110 +00:09:57,660 --> 00:09:58,300 +هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل + +111 +00:09:58,300 --> 00:10:01,800 +هذه مثل هذه مثل هذه مثل هذه مثل هذهأردتش positive + +112 +00:10:01,800 --> 00:10:07,060 +أردتش negative mother ماردتش positive fetusبيؤدى + +113 +00:10:07,060 --> 00:10:11,180 +الى تكوين antibody من نوع IGG اللى بينتقل ال + +114 +00:10:11,180 --> 00:10:15,000 +delivery from some fetus in blood to the mother + +115 +00:10:15,000 --> 00:10:21,640 +وبالتالى بيتكوّن anti-rh antibody من نوع IGG هدف + +116 +00:10:21,640 --> 00:10:27,180 +ال second pregnancy بيكنقرص لبلاسينته ويروح على ال + +117 +00:10:27,180 --> 00:10:32,040 +second fetus ويعمل destruction لل RBC's تبعته عشان + +118 +00:10:32,040 --> 00:10:35,800 +هيك بعتوا administration of anti-rh antibodyللأم + +119 +00:10:35,800 --> 00:10:44,060 +في أول 72 ساعة من الإتصال تمنح الـRH مميزة اتفاقية + +120 +00:10:44,060 --> 00:10:47,790 +Autoimmune reaction involving cellمثل الـMembrane + +121 +00:10:47,790 --> 00:10:50,930 +Receptor زي مايسينيا غريفز طبعا شرحناها مايسينيا + +122 +00:10:50,930 --> 00:10:55,830 +غريفز و ال Acetylcholine Receptor طبعا بيصير فيه + +123 +00:10:55,830 --> 00:11:00,130 +Auto Antibody لل Acetylcholine Receptor فبيعمل + +124 +00:11:00,130 --> 00:11:03,830 +Plucking وبالتالي بيعمل Disruption لل Function of + +125 +00:11:03,830 --> 00:11:07,350 +Acetylcholine لأن ال Acetylcholine بيدور على ال + +126 +00:11:07,350 --> 00:11:13,370 +Receptor تبعه بيلاقي مشعور In Graves Diseaseأيضًا + +127 +00:11:13,370 --> 00:11:17,850 +الـ auto-antibody يعمل كـ agonist يعمل استيماليشيا + +128 +00:11:17,850 --> 00:11:21,530 +للـ target cell وبالتالي يحصل في إطلاق لـ TSH + +129 +00:11:21,530 --> 00:11:27,810 +طبعًا بعد الارتباط بالـ TSH ريسبتر وبالتالي يحصل + +130 +00:11:27,810 --> 00:11:31,250 +في استيماليشيا تنتج في عدد عالي من البروثيرودزيم. + +131 +00:11:32,530 --> 00:11:35,330 +Autoimmune reaction involving other cells and + +132 +00:11:35,330 --> 00:11:37,370 +membrane determinants + +133 +00:11:39,300 --> 00:11:46,960 +بعض الناس تصنع انتبادي عادية ضد بلدها وبيعمل + +134 +00:11:46,960 --> 00:11:51,340 +autoimmune hemolytic anemia او autoimmune + +135 +00:11:51,340 --> 00:11:55,740 +hemolytic reaction فإذا ارتبط بال RBC بيعمل + +136 +00:11:55,740 --> 00:12:02,400 +autoimmune hemolytic anemia وبالتالي بيعملسواء كان + +137 +00:12:02,400 --> 00:12:06,580 +الهيمولاسيز الانترافسكولار أو بعض المرات بايفاجو + +138 +00:12:06,580 --> 00:12:15,500 +سيتروسيز via the FC region receptor + +139 +00:12:15,500 --> 00:12:18,160 +or C3b receptor + +140 +00:12:22,280 --> 00:12:26,240 +هذا ما يتعلق بالـType 2 وType 3 هو Immune Complex + +141 +00:12:26,240 --> 00:12:29,960 +Reaction من الاسم Immune Complex Reaction بس فيه + +142 +00:12:29,960 --> 00:12:34,200 +Antigen Antibody reaction بين الانتجن و IgM IgG ثم + +143 +00:12:34,200 --> 00:12:38,020 +Accumulation في التشيوة وبنشطة complement of cell + +144 +00:12:38,020 --> 00:12:44,640 +destruction لمنطقة ترسبهم في التشيوة ماشي Normally + +145 +00:12:44,640 --> 00:12:48,400 +small amounts of complexes are removed by + +146 +00:12:48,400 --> 00:12:53,600 +phagocytic cellالكومبليكسات تقبض على مصادر IGG-FC + +147 +00:12:53,600 --> 00:12:57,680 +على مصادر الفابوسيتكية، مصادر الفابوسيتكية، + +148 +00:12:57,680 --> 00:13:05,040 +الـRBCs مع مصادر C3B تقبض على كومبليكس يمكن أن يتم + +149 +00:13:05,040 --> 00:13:09,340 +إيقافه من الجلد، من الجلد من مصادر الـComfort Cell + +150 +00:13:11,220 --> 00:13:16,140 +لما بيزيد كمية الـ Complexes، they deposit in the + +151 +00:13:16,140 --> 00:13:19,760 +tissue، وي trigger a variety of systemic symptoms + +152 +00:13:19,760 --> 00:13:23,080 +known as type 3 hypersensitivity reaction. + +153 +00:13:24,040 --> 00:13:26,680 +Complexes ممكن تترسب على ال kidney، على ال skin، + +154 +00:13:26,680 --> 00:13:30,480 +على ال joint، على الchoroid plexus، and ciliary + +155 +00:13:30,480 --> 00:13:35,020 +artery of the eye. Antigen antibody complex may + +156 +00:13:35,020 --> 00:13:41,090 +fix complementأو تشغّل أفكتورات في النيتروفيل التي + +157 +00:13:41,090 --> 00:13:47,370 +يمكن أن تسبب فيها إدارة ديشو C3A وC5A تم إجراءها + +158 +00:13:47,370 --> 00:13:49,690 +من خلال تشغيل المزيد من المزيد من الميزات التي + +159 +00:13:49,690 --> 00:13:52,510 +يمكن أن تسبب فيها إدارة ديشو + +160 +00:13:55,590 --> 00:13:58,690 +ميكروفيج مدعوم لإطلاق تجارب تجارب تجارب تجارب + +161 +00:13:58,690 --> 00:14:00,410 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +162 +00:14:00,410 --> 00:14:02,190 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +163 +00:14:02,190 --> 00:14:04,170 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +164 +00:14:04,170 --> 00:14:04,390 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +165 +00:14:19,210 --> 00:14:28,210 +الانفلاماتوري اكشن وهو ممكن يؤدي للـ sign of ايش؟ + +166 +00:14:28,210 --> 00:14:33,430 +of type 3 ده هي المراحل الأولاني بيصير في immune + +167 +00:14:33,430 --> 00:14:38,670 +complex formation على ال endothelial cell تبدأ + +168 +00:14:38,670 --> 00:14:43,300 +تتجمع level immune complex ايش؟هو بترتبط بال + +169 +00:14:43,300 --> 00:14:46,340 +tissue أو بال cell membrane، endothelial cell + +170 +00:14:46,340 --> 00:14:51,980 +membrane، ماشي؟ ايوة، طبعا في الأول كل اللي معاه + +171 +00:14:51,980 --> 00:14:56,750 +هناك خش ال antigenو لجاله ريسبتور على سطح + +172 +00:14:56,750 --> 00:15:00,830 +البيلينفوس هيتنشطها و خلّها بلازمة سلفة كونة + +173 +00:15:00,830 --> 00:15:04,570 +antibody و بدأت كمية كبيرة من ال antigen دهي + +174 +00:15:04,570 --> 00:15:08,950 +fragmented antigen ترتبط ب antibody بكميات كبيرة و + +175 +00:15:08,950 --> 00:15:13,010 +تكون immune complexes اترسبت على وين؟ على جدار + +176 +00:15:13,010 --> 00:15:17,430 +اللي هو ال endothelium اللي هو blood vessel + +177 +00:15:17,430 --> 00:15:22,180 +membraneماذا يحصل؟ تأتي الـ Neutrophil تخلصنا من + +178 +00:15:22,180 --> 00:15:24,900 +هذه الـ immune complexes و تبدأ لإنه عبارة عن + +179 +00:15:24,900 --> 00:15:29,380 +reticulum endothelial cell أحد أدوات reticulum + +180 +00:15:29,380 --> 00:15:36,840 +endothelial system فتأتي تحاول تخلصنا، ماشي، فشو + +181 +00:15:36,840 --> 00:15:37,440 +اللي بصير؟ + +182 +00:15:40,070 --> 00:15:45,410 +سيتم إكتشافه و إطلاق صيتوكاين طبعا الصيتوكاين في + +183 +00:15:45,410 --> 00:15:52,030 +هذه الحالة ماذا يفعل؟ ينشط هذه الخلايا بيحتوي على + +184 +00:15:52,030 --> 00:15:55,750 +مواد كثيرة جدا من ضمنها Platelet-derived growth + +185 +00:15:55,750 --> 00:16:00,530 +factor بنشط البلاتلت أدوام الجلطة والجرانيول أو + +186 +00:16:00,530 --> 00:16:04,270 +النيوتروفيل بتحاول تاخد الكمplex بتقدرش فبتعمل + +187 +00:16:04,270 --> 00:16:09,030 +degranulationماشي فبصير فيه tissue damage في منطقة + +188 +00:16:09,030 --> 00:16:16,890 +إيش لطبع ال immune complex بال tissue + +189 +00:16:16,890 --> 00:16:26,450 +و هكذا بصير فيه inflammatory reaction Antigen + +190 +00:16:26,450 --> 00:16:30,290 +antibody من ال immune complexes form in the + +191 +00:16:30,290 --> 00:16:34,510 +circulation بصير لها deposition in various tissue + +192 +00:16:35,250 --> 00:16:38,590 +وبصير فيه inflammatory reaction in various tissue + +193 +00:16:38,590 --> 00:16:44,030 +طبعا deposition of + +194 +00:16:44,030 --> 00:16:50,650 +these complexes is influenced by their size فمثلا + +195 +00:16:50,650 --> 00:16:53,910 +small and intermediate complexes which circulate + +196 +00:16:53,910 --> 00:16:58,490 +for longer time tend to be deposited while larger + +197 +00:16:58,490 --> 00:17:01,210 +complexes are rapidly removed by phagocytic cell + +198 +00:17:03,380 --> 00:17:06,280 +Integrity of one nuclear phagocytic system + +199 +00:17:06,280 --> 00:17:08,640 +influenced the development of systemic immune + +200 +00:17:08,640 --> 00:17:13,960 +complexes طبيعي جدا Serum + +201 +00:17:13,960 --> 00:17:17,880 +sickness disease prototype مثال حي جدا على هذا + +202 +00:17:17,880 --> 00:17:22,500 +الكلام على immune complexes disease treatment with + +203 +00:17:22,500 --> 00:17:27,940 +horse serum containing antibody to some bacterial + +204 +00:17:27,940 --> 00:17:33,300 +toxin من عطاب وبعد مرات بتعطيتبع من الـ Horse + +205 +00:17:33,300 --> 00:17:38,060 +Serum يحتوي على Antibody يعني Passive Treatment + +206 +00:17:38,060 --> 00:17:43,080 +Passive Antibody أو Passive Immunization ماشي + +207 +00:17:43,080 --> 00:17:46,600 +بكتيريا توكسين طبعا التوكسين كميات كبيرة دخلت + +208 +00:17:46,600 --> 00:17:51,980 +Antibody بكميات كبيرة شو اللي بيصير upon second + +209 +00:17:51,980 --> 00:17:53,620 +injection of Horse Serum + +210 +00:17:58,930 --> 00:18:03,350 +طبعا for a human body it will may develop serum + +211 +00:18:03,350 --> 00:18:11,770 +sickness or allergic manifestation احنا + +212 +00:18:11,770 --> 00:18:15,950 +دخلنا في الأول في ال first injection antibody from + +213 +00:18:15,950 --> 00:18:21,470 +horse serum for bacterial toxin طبعا ال antibody + +214 +00:18:21,470 --> 00:18:25,630 +اللي دخل الجسم يعتبره كأنتجن فكونله antibody upon + +215 +00:18:25,630 --> 00:18:30,070 +secondExposure او Second Injection دخل الانتيبادي + +216 +00:18:30,070 --> 00:18:36,210 +يعتبر ان الانتيبادي دخل الانتيبادي من الهورس طبعا + +217 +00:18:36,210 --> 00:18:39,750 +فيه انتيبادي في ال human وبالتالي ستفعل بين + +218 +00:18:39,750 --> 00:18:43,410 +الانتيجين اللي هو عبارة عن a horse antibody مع + +219 +00:18:43,410 --> 00:18:46,590 +الانتيبادي اللي اتكون له وعمل serum sickness + +220 +00:18:46,590 --> 00:18:48,490 +robotic fever + +221 +00:18:51,770 --> 00:18:56,670 +والسيكويل من جروب A Striptococcal infection نشوف + +222 +00:18:56,670 --> 00:19:02,350 +ايش it involves inflammation or damage to the + +223 +00:19:02,350 --> 00:19:07,130 +heart, joint and kidney Striptococcus خشت ماشي + +224 +00:19:07,130 --> 00:19:14,270 +وطبعا كوان لها antibody صار فيها antibody reaction + +225 +00:19:14,270 --> 00:19:19,980 +فعلى ترسب على أعضاء كثيرة من الجسمالأنتيجن في محطة + +226 +00:19:19,980 --> 00:19:26,060 +الحرارة ومكعبات الستبتوكوكسي يتعامل مع الانتيجن + +227 +00:19:26,060 --> 00:19:31,500 +البشري الموجود في قلب، عضلات، قلبي ورفريتس + +228 +00:19:31,500 --> 00:19:36,180 +وبالتالي الانتيبادي للستبتوكوكوكسي الانتيجن مرتبط + +229 +00:19:36,180 --> 00:19:41,040 +بهذه المجموعة ويستخدمها اللي هو الانفلاماتورية + +230 +00:19:43,530 --> 00:19:47,170 +بنفس الـ Antigen تبع الـ Steptococcus بـ Self + +231 +00:19:47,170 --> 00:19:52,350 +Antigen و بده الجسم يكوّن Antibody للفرن Antigen + +232 +00:19:52,350 --> 00:19:56,250 +اللي ماسك بـ Self Antigen وبالتالي بيحصل فيه + +233 +00:19:56,250 --> 00:20:02,870 +Tissue Damage Arthras Reaction هو عبارة عن مثال حي + +234 +00:20:02,870 --> 00:20:07,910 +بوال Localized Immune Complex Reaction Local + +235 +00:20:07,910 --> 00:20:12,490 +Inflammatoryالتجارة التي تم تجريها بعد تجارة + +236 +00:20:12,490 --> 00:20:15,290 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +237 +00:20:15,290 --> 00:20:16,350 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +238 +00:20:16,350 --> 00:20:18,390 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +239 +00:20:18,390 --> 00:20:21,530 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +240 +00:20:21,530 --> 00:20:22,530 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +241 +00:20:22,530 --> 00:20:23,530 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +242 +00:20:23,530 --> 00:20:26,330 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +243 +00:20:26,330 --> 00:20:30,790 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +244 +00:20:30,790 --> 00:20:36,150 +الانتجين التي تم تجريها بعد تجارة + +245 +00:20:39,960 --> 00:20:44,500 +هذا ما يتعلق بالنوع التالت النوع الرابع والاخير من + +246 +00:20:44,500 --> 00:20:46,740 +الـ Hypersensitivity هو الـ Delayed Type + +247 +00:20:46,740 --> 00:20:52,140 +Hypersensitivity وهذا ما لهش دخل الـ Antibody في + +248 +00:20:52,140 --> 00:20:55,080 +الموضوع وهو عبارة عن Cell Mediated Immunity + +249 +00:20:55,080 --> 00:20:59,800 +Reaction شو اللي بيصير؟ كانت Mediated By T Cell + +250 +00:20:59,800 --> 00:21:04,120 +Dependent Infector Mechanism تتنشط CD4 T Helper 1 + +251 +00:21:04,120 --> 00:21:10,990 +and CD8 Cytotoxic T Cellو كما قلنا الـ Antibody ما + +252 +00:21:10,990 --> 00:21:14,770 +إيه اللي دخل في الموضوع، برشدور، شو بتعمل تهيلبر + +253 +00:21:14,770 --> 00:21:18,650 +1؟ قالوا upon activation it releases cytokine اللي + +254 +00:21:18,650 --> 00:21:20,910 +بتعمل على ال accumulation و activation of + +255 +00:21:20,910 --> 00:21:26,410 +macrophage وبالتالي بتعمل local damage لما تتنشط + +256 +00:21:26,410 --> 00:21:32,890 +في delay of onset لأنه type 4 قالوا reaction can + +257 +00:21:32,890 --> 00:21:39,110 +be transferred only with T cellالتجارب اللي ترى + +258 +00:21:39,110 --> 00:21:43,890 +هذا النوع من الإجابة قد تكون تجارب خلية مثل الـ + +259 +00:21:43,890 --> 00:21:48,570 +Allograft Reaction إتراسلولار + +260 +00:21:48,570 --> 00:21:52,690 +براسايد وفيروسين + +261 +00:21:52,690 --> 00:21:59,990 +ميكوبكتيريا فنجاى صليبالبروتين او جسد مدخل يدخل + +262 +00:21:59,990 --> 00:22:07,420 +الجسد وقبله إلى جسد بروتين يعمل كمهارةبعدة حاجات + +263 +00:22:07,420 --> 00:22:16,800 +ممكن تعمل لنا هذا النوع من الحساسية ماذا + +264 +00:22:16,800 --> 00:22:20,860 +يميز type hypersensitivity clinical feature is + +265 +00:22:20,860 --> 00:22:29,160 +vary تعتمد على sensitizing antigen وكيف دخل major + +266 +00:22:29,160 --> 00:22:34,100 +event leading to type 4 هي الأحداث القاتية + +267 +00:22:35,450 --> 00:22:38,270 +activation of antigen-specific inflammatory T + +268 +00:22:38,270 --> 00:22:43,110 +helper-1 in previously sensitized individual يعني + +269 +00:22:43,110 --> 00:22:47,790 +داخل الانتجين قبل هيك نشطة بـ T helper-1 صار فيه + +270 +00:22:47,790 --> 00:22:53,350 +memory cell ناشي previously sensitized individual + +271 +00:22:53,350 --> 00:22:57,870 +secretion of cytokine by antigen-specific T helper + +272 +00:22:57,870 --> 00:23:02,110 +-cellبيدى الـ Recruitment and Activation of + +273 +00:23:02,110 --> 00:23:06,270 +Antigen Non-Specific Inflammatory Leukocyte + +274 +00:23:06,270 --> 00:23:10,850 +والميكانيزم كالاتم ده هو نمرة واحد Synthetization + +275 +00:23:10,850 --> 00:23:15,610 +Stage وفيه الـ Cytation Stage فالـ Synthetization + +276 +00:23:15,610 --> 00:23:21,870 +هي أنتجت دخل صلوا Injection Subcutaneously تلقفته + +277 +00:23:21,870 --> 00:23:27,730 +أنتجت Presenting Cell وعملتله Processingوهنا مثال + +278 +00:23:27,730 --> 00:23:32,750 +على ناجرهانز cell in the skin زي الـ antigen + +279 +00:23:32,750 --> 00:23:37,350 +-presenting cell طبعاً قمت بعمل processing ليش صار + +280 +00:23:37,350 --> 00:23:45,610 +في هذه الحالة؟ ان الخلايا + +281 +00:23:45,610 --> 00:23:51,370 +هذه طبعاً ممكن تصل اللي هو blood vessels بسهولة + +282 +00:23:51,370 --> 00:23:58,350 +اللي بتتقدم هذهالـ Antigenات لـ T-cell which can + +283 +00:23:58,350 --> 00:24:06,690 +recognize MHC peptide antigen و + +284 +00:24:06,690 --> 00:24:09,590 +تبدأ T-cell لها differentiation يعني تتنشط هذه + +285 +00:24:09,590 --> 00:24:17,870 +تقدمت فصارت تي البروان تكونت ماشي اللي تي البروان + +286 +00:24:17,870 --> 00:24:24,130 +طبعا يعني أفرزت cytokine او تنشطت وأفرزت cytokine + +287 +00:24:26,610 --> 00:24:31,690 +هلجت صار في أنها طبعا حدث أولاني و خلصنا منه لكن + +288 +00:24:31,690 --> 00:24:37,030 +تتمشيط و اتحولت تلاقي vector cell و memory cell + +289 +00:24:37,030 --> 00:24:42,130 +قبل second or antigenic challenge يعني دخل الانتجن + +290 +00:24:42,130 --> 00:24:42,870 +مرة تانية + +291 +00:24:45,620 --> 00:24:49,720 +it will activate T-Helper cell and cytokine will + +292 +00:24:49,720 --> 00:24:52,980 +recruit the activation of macrophage and other + +293 +00:24:52,980 --> 00:24:57,620 +inflammatory cells هذا هو دخل الانتجين مرة تانية + +294 +00:24:57,620 --> 00:25:04,520 +يعني تتنشط اللي هو T-Helper I اللي بتنشط النميم + +295 +00:25:04,520 --> 00:25:09,200 +اللي بتنشط اللي هو ال macrophage المثال على ال + +296 +00:25:09,200 --> 00:25:13,460 +macrophage طبعا ال macrophage it will infiltrate + +297 +00:25:15,630 --> 00:25:19,690 +تسبب في مجموعة من البلازما والتشيو دامير الموجودة. + +298 +00:25:21,730 --> 00:25:26,690 +في هذه المراحل دخل الانتجين واخدته الـ Antigen + +299 +00:25:26,690 --> 00:25:31,410 +Presenting Cell ثم قدمته الـ T-Helper Cell واتنشطت + +300 +00:25:31,410 --> 00:25:35,970 +وصار في عيننا already activated T-Helper Cell upon + +301 +00:25:35,970 --> 00:25:42,150 +second exposure this activated cell will release + +302 +00:25:42,150 --> 00:25:46,220 +cytokineوبالتالي بيصير فيه recruitment و + +303 +00:25:46,220 --> 00:25:50,160 +activation ل macro phage و اخر inflammatory cell + +304 +00:25:50,160 --> 00:25:57,640 +that can penetrate and اللي هو infiltrated tissue + +305 +00:25:57,640 --> 00:26:04,280 +او ال blood vessels على سبيل المثال وبالتالي هناك + +306 +00:26:04,280 --> 00:26:09,700 +بيصير فيه tissue damage من macro phage و ال + +307 +00:26:12,680 --> 00:26:21,540 +سلسلة إنفلامات أخرى الـ Late + +308 +00:26:21,540 --> 00:26:24,240 +-type hypersensitivity reaction أيضًا يتواصل بـ + +309 +00:26:24,240 --> 00:26:29,680 +CD8 تلينفسايد سايتوتوكسيك T-Linfocyte يمكن ان يتم + +310 +00:26:29,680 --> 00:26:37,940 +استعماله وانتشاره في حالة حركة التنسيق للتجارب CD8 + +311 +00:26:39,480 --> 00:26:42,700 +T cell damaged tissue by cell-mediated + +312 +00:26:42,700 --> 00:26:48,680 +cytotoxicity.Activation of CD8 T cell occur as a + +313 +00:26:48,680 --> 00:26:51,820 +consequence of the ability of many lipid soluble + +314 +00:26:51,820 --> 00:26:55,420 +chemical capable of inducing delayed type + +315 +00:26:55,420 --> 00:26:59,180 +hypersensitivity reaction to cross the cell + +316 +00:26:59,180 --> 00:27:05,000 +membrane.مثل + +317 +00:27:05,000 --> 00:27:05,720 +على ذلك + +318 +00:27:10,030 --> 00:27:17,750 +الأمثلة الـ Pentadeca-Catechol هو برعن كيميكال + +319 +00:27:17,750 --> 00:27:24,310 +اللي يدفع إلى البوازين E-V انه مدفع في + +320 +00:27:24,310 --> 00:27:32,130 +الـCytoplasm لتحضير مدفعين بيبتايد اللي مرتفعين + +321 +00:27:32,130 --> 00:27:35,970 +إلى الـIndoplasmic reticulum ثم يتم تحضيره إلى + +322 +00:27:35,970 --> 00:27:43,910 +المنفذالـ surface مرتبطة بالـ MHC Class 1 موليكيول + +323 +00:27:43,910 --> 00:27:49,870 +اللي صار في cells presenting such modified cell + +324 +00:27:49,870 --> 00:27:59,110 +protein طبعا subsequently damaged or killed by CD8 + +325 +00:27:59,110 --> 00:28:05,190 +يعني هذه عبارة عن مادة كيميائيةبتعمل induction + +326 +00:28:05,190 --> 00:28:10,150 +للـpoison EV دخل وخش على الـcytoplasm تفتفت ثم ده + +327 +00:28:10,150 --> 00:28:14,230 +هو وصل الـendoplasm كريتكيلا ويطلع مرتبط على سطح + +328 +00:28:14,230 --> 00:28:18,710 +الخلايا بالـMHC class I موليكيل تقدم لتيه + +329 +00:28:18,710 --> 00:28:23,230 +cytotoxic lymphocytes اللي اتنشطت وعملت damage و + +330 +00:28:23,230 --> 00:28:26,970 +killing لهذا الانتجار امثل على ذلك contact + +331 +00:28:26,970 --> 00:28:30,290 +sensitivity او contact dermatitis + +332 +00:28:33,350 --> 00:28:39,730 +طبعا هذا prototype prototype يعني مثال نموذجي of + +333 +00:28:39,730 --> 00:28:44,370 +contact dermatitis is mosin ev dermatitis فأي واحد + +334 +00:28:44,370 --> 00:28:49,130 +بيمسكه بيخش عن طريق ال epidermis + +335 +00:28:52,630 --> 00:28:57,110 +بفتفت في الـ cytoplasm و هكذا زى ما تقولنا The + +336 +00:28:57,110 --> 00:28:59,670 +offending substance is contained in an oil + +337 +00:28:59,670 --> 00:29:06,470 +secreted by the leaves of poison ivy, vine and + +338 +00:29:06,470 --> 00:29:10,130 +other related plants بعض النباتات بتطلعنا هذه + +339 +00:29:10,130 --> 00:29:15,370 +الموانع اللى لو مسكها و لمسها اللى هو المادة + +340 +00:29:15,370 --> 00:29:21,370 +الزيتية بيصير عنده هذا ال reactionOils contain a + +341 +00:29:21,370 --> 00:29:27,050 +mixture of catecholazate اللي هو Dihydroxyphenol + +342 +00:29:27,050 --> 00:29:33,990 +with long hydrocarbon side chain هيعملوا + +343 +00:29:33,990 --> 00:29:40,810 +penetration للسكن من خلال ال lipofilicity فنومينا + +344 +00:29:40,810 --> 00:29:46,010 +و برتبطوا covalently to cell associated protein و + +345 +00:29:46,010 --> 00:29:52,570 +بيكونواImmunogen يبقى في الأساس هم عبارة عن هابتين + +346 +00:29:52,570 --> 00:29:57,250 +ارتبطوا في البروتين اللي هتكوّنوها مثال آخر زي ال + +347 +00:29:57,250 --> 00:30:05,010 +nickel و ال chrome اللي بيكون موجود في ال jewelry + +348 +00:30:05,010 --> 00:30:10,670 +هذولة أبيضا مع المدة can induce contact + +349 +00:30:10,670 --> 00:30:15,190 +sensitivity غالبا by chelation to skin protein + +350 +00:30:15,190 --> 00:30:23,350 +برتبطه مع كل cell proteinالـ Alergen اللي دخل تطلق + +351 +00:30:23,350 --> 00:30:28,590 +فلان Gerhansel بنشطه البرمجة الـ one الـ clone + +352 +00:30:28,590 --> 00:30:35,210 +وsubsequent + +353 +00:30:35,210 --> 00:30:35,810 +contact + +354 +00:30:39,440 --> 00:30:41,780 +مع الـ Synthesizing agent تشغّل مرحلة + +355 +00:30:41,780 --> 00:31:07,280 +الهيبراسيتسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيس + +356 +00:31:08,720 --> 00:31:12,400 +عدد كبير من الـ T lymphocyte برضه بيعمل نفس ال + +357 +00:31:12,400 --> 00:31:17,860 +reaction إيش الفحوصات؟ for the presence of contact + +358 +00:31:17,860 --> 00:31:25,240 +sensitivity a solution of suspected antigen is + +359 +00:31:25,240 --> 00:31:31,340 +spread on the skin and covered by occlusive + +360 +00:31:31,340 --> 00:31:32,000 +dressing + +361 +00:31:35,380 --> 00:31:41,640 +طبعا خلال ثلاثة أيام تظهر منطقة of induration او + +362 +00:31:41,640 --> 00:31:50,720 +ارثميا وهذه اللي هو indication that the test is + +363 +00:31:50,720 --> 00:31:56,020 +positive tuberclein-type hypersensitivity a + +364 +00:31:56,020 --> 00:32:01,000 +cutaneous inflammatory reaction بيتميز by red + +365 +00:32:01,000 --> 00:32:04,760 +swellingof the skin خلال اكتر من اربعين لاتنين + +366 +00:32:04,760 --> 00:32:10,020 +اربع سبعين ساعة اليوم بيعطوا purified protein + +367 +00:32:10,020 --> 00:32:19,960 +derivative او بيسموه ال man tox test بيعرفوا + +368 +00:32:19,960 --> 00:32:24,280 +اذا كان المريض او الانسان previously sensitized to + +369 +00:32:24,280 --> 00:32:28,580 +antigen expressed by mycobacterium tuberculosis + +370 +00:32:33,250 --> 00:32:37,670 +التابعات اللى هو infection of this organism + +371 +00:32:37,670 --> 00:32:41,930 +الانيازينفليه infiltrated by monocyte micro phase + +372 +00:32:41,930 --> 00:32:50,870 +series وشوية lymphocyte طبعا false negatives HIV + +373 +00:32:50,870 --> 00:32:57,890 +patientوالذين يحصلون على كيمو ثيرابي عالية بسبب + +374 +00:32:57,890 --> 00:33:02,550 +انهيبشن من T-cell الفلس نيجاتيف يحدث في حالات + +375 +00:33:02,550 --> 00:33:06,750 +الimmunodeficiency في حالات ال HIV person في حالات + +376 +00:33:06,750 --> 00:33:10,390 +الكيمو ثيرابي طبعا مافيش مناعة مافيش T-cell عشان + +377 +00:33:10,390 --> 00:33:15,310 +تتنشط بينما الفلس بيزيتيف يحدث في حالات + +378 +00:33:15,310 --> 00:33:18,450 +الvaccination by BCG + +379 +00:33:20,830 --> 00:33:23,670 +الـ Allograft Reaction أو الـ Rejection عفوًا + +380 +00:33:23,670 --> 00:33:27,930 +طبعًا تتعامل مع الـ Late type hypersensitivity + +381 +00:33:27,930 --> 00:33:33,070 +بشكل كورتيكوستيرويد بشكل طبيعي أو بشكل أساسي + +382 +00:33:33,070 --> 00:33:39,610 +إمينوسوبرسف الدروس قد يكون استخدامه في حالات عظيمة + +383 +00:33:39,610 --> 00:33:43,330 +بهيك + +384 +00:33:43,330 --> 00:33:45,990 +بنكون غطينا الأنواع الأربعة من الـ + +385 +00:33:45,990 --> 00:33:53,070 +Hypersensitivity Reactionنتمنى أن تكونوا قد + +386 +00:33:53,070 --> 00:33:58,350 +استمتعتم بها واستفدتم منها + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/yQLz1foapm4_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/yQLz1foapm4_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..f63b28ac345ab89cded2af05497eec35e773cd2e --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/yQLz1foapm4_raw.srt @@ -0,0 +1,1572 @@ +1 +00:00:04,760 --> 00:00:10,580 +واصلنا المرة اللى فاتت الى type 2 antibody + +2 +00:00:10,580 --> 00:00:15,140 +mediated cytotoxic reaction استكمالا لل + +3 +00:00:15,140 --> 00:00:20,300 +hypersensitivity reaction واتفقنا على ان ال type 2 + +4 +00:00:20,300 --> 00:00:24,100 +هو برنامج cytotoxic reaction ما بين IGG او IGM + +5 +00:00:24,100 --> 00:00:29,380 +وانتجن موجود على سطح الخلايا مسكوا فيه نشطوا + +6 +00:00:29,380 --> 00:00:34,420 +complement كثرة الخلية اللى اشتغلت عليها + +7 +00:00:41,080 --> 00:00:47,760 +الـ Antibody-mediated autoimmune disease + +8 +00:00:47,760 --> 00:00:52,660 +الانتيبودي ايضا ادركت against normal self-antigen + +9 +00:00:59,500 --> 00:01:05,040 +following infection or modified self-antigen زي ما + +10 +00:01:05,040 --> 00:01:11,680 +يحصل في drug-induced O2 antibody during طبعا + +11 +00:01:11,680 --> 00:01:17,520 +binding of drug to certain cell membrane في كل تل + +12 +00:01:17,520 --> 00:01:24,980 +حالتين target cell is damaged or destroyed ونشوف + +13 +00:01:24,980 --> 00:01:30,600 +أمثلة على ذلك antibody-mediated mechanismتتفاعل مع + +14 +00:01:30,600 --> 00:01:36,380 +هذه التفاعلات الصحيحة الصحيحة الصحيحة + +15 +00:01:36,380 --> 00:01:37,980 +الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة + +16 +00:01:37,980 --> 00:01:45,100 +الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة الصحيحة + +17 +00:01:45,100 --> 00:01:45,340 +الصحيحة + +18 +00:01:58,700 --> 00:02:04,680 +تتنشط ال compliment للآخر او .. و طبعا بتكسر + +19 +00:02:04,680 --> 00:02:09,900 +الخلية او انه انتج انتيبودي انتج انتيبودي قعد على + +20 +00:02:09,900 --> 00:02:15,880 +سطح الخلية و علمها فقط for اللي هو destruction by + +21 +00:02:15,880 --> 00:02:23,180 +extracellular mechanism ميكرافيرلين و polymorphic + +22 +00:02:23,180 --> 00:02:28,120 +nuclear طبعابلاد السلسل هي المفاجئة بشكل عام من + +23 +00:02:28,120 --> 00:02:37,260 +هذا الميكانزم ADCC في ADCC نستخدم الـ FC portion + +24 +00:02:37,260 --> 00:02:44,440 +أو الريسيبتور على الكثير من السلسل مثل وادردول ال + +25 +00:02:44,440 --> 00:02:48,540 +FC في الريسيبتور على سطح الانكسل ميكروفيل + +26 +00:02:48,540 --> 00:02:56,060 +نيوتروفيل زينوفيل ماشي لل FC portion و IGGفيوم ما + +27 +00:02:56,060 --> 00:03:02,440 +يدخل الانتيبادي يتكون انتيبادي IGG انتيبادي for + +28 +00:03:02,440 --> 00:03:09,110 +certainالخلية هيمسك فيها ويظل فالة من ال Fc + +29 +00:03:09,110 --> 00:03:12,190 +portion طبعا هذا اللي هو ال receptor على سطح كل + +30 +00:03:12,190 --> 00:03:15,750 +الخلية اللي ذكرناها فبتجي الخلية وبتمسك فيه من + +31 +00:03:15,750 --> 00:03:18,810 +خلال ال receptor وبصير في cell to cell contact + +32 +00:03:18,810 --> 00:03:24,950 +وبتصير الأدوات يعني بتؤدي مظيفتها وقتلها للخلية من + +33 +00:03:24,950 --> 00:03:34,790 +خلال ال degranulation ال ILS require contactلكن ما + +34 +00:03:34,790 --> 00:03:38,030 +بيصير فيه phagocytosis أو complement activation كل + +35 +00:03:38,030 --> 00:03:41,630 +اللي بيصير Degranulation بعد ما ترتبط الخلية + +36 +00:03:41,630 --> 00:03:45,310 +بالخلية المصابة أو اللي على سطحها antibody بيصير + +37 +00:03:45,310 --> 00:03:49,190 +في cell to cell contact و بيصير فيه Degranulation + +38 +00:03:51,080 --> 00:03:52,700 +السيل المدينة + +39 +00:03:52,700 --> 00:04:12,360 +للسيطاتوكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيكسيك + +40 +00:04:20,500 --> 00:04:25,860 +مثل الـ Type I Hypersensitivity النوع التالت اللي + +41 +00:04:25,860 --> 00:04:30,980 +هو Antibody-mediated cellular dysfunction شو اللي + +42 +00:04:30,980 --> 00:04:34,900 +بيصير؟ قالوا الـ Cell Surface بيكون هو الـ Target + +43 +00:04:34,900 --> 00:04:45,480 +Antigen لما Auto Antibody بيثبت بـ Receptors من + +44 +00:04:45,480 --> 00:04:48,850 +هذا النوعالخلية تعمل مفعولة على سطح الخلية بدون أن + +45 +00:04:48,850 --> 00:04:52,570 +تسبب في إصابة إصابة إصابة إصابة أو إنفلام يعني + +46 +00:04:52,570 --> 00:04:56,210 +بيجي antibody وعبارة بتبقى certain receptor على + +47 +00:04:56,210 --> 00:05:01,890 +سطح الخلية بيعمله blocking وبالتالي بيبطل شغال و + +48 +00:05:01,890 --> 00:05:08,590 +الخلية بتفقد وظيفتها شوفين + +49 +00:05:08,590 --> 00:05:12,430 +هي الأنواع كلها هي ال complement mediated target + +50 +00:05:12,430 --> 00:05:14,330 +cell على سطحها antibody + +51 +00:05:16,860 --> 00:05:21,860 +اللي هو سطح انتيجين معين انتبادي ارتبط فيها مين + +52 +00:05:21,860 --> 00:05:26,240 +ضال فعلة ال Fc portion طبعا الانتيجن الانتيبادي + +53 +00:05:26,240 --> 00:05:30,340 +Complex بنشر ال complement و ال complement متى ما + +54 +00:05:30,340 --> 00:05:35,500 +اتنشطت بتروح بتكسر الماء اللي هو الخلية membrane + +55 +00:05:35,500 --> 00:05:40,380 +اتتها Complex و بيصير فيه قتلة الخلية ماشي اول ما + +56 +00:05:40,380 --> 00:05:43,840 +الخلية بتكون already صارت optionized تتعرف عليها + +57 +00:05:43,840 --> 00:05:48,790 +اللي هو ال macro phaseمن خلال ارتباط بال Fc + +58 +00:05:48,790 --> 00:05:55,150 +portion او C3P ريسبتور على سطحها و ايضا تعمل فاجوه + +59 +00:05:55,150 --> 00:06:03,570 +سيتوسس وتخلصنا منهاالثاني هو ADCC انه انتباد يتكون + +60 +00:06:03,570 --> 00:06:09,030 +من نصف IGG برتبط بانتيجن او ريسبتور على سطح الخلية + +61 +00:06:09,030 --> 00:06:12,910 +فبتظل ال Fc portion هو اللي فعلت و هذا ال Fc + +62 +00:06:12,910 --> 00:06:16,390 +portion اللي هو الريسبتور على سطح خلايا كثيرة من + +63 +00:06:16,390 --> 00:06:21,660 +ضمنها ال NK والنيتروفيل والإيزنوفيلوبالتالي حتى + +64 +00:06:21,660 --> 00:06:26,200 +المعصد اللى .. لإنه المعصد اللى على سطحها FC + +65 +00:06:26,200 --> 00:06:31,280 +Receptor IGG IGE sorry فالمهم تلت بط و بيصير فيه + +66 +00:06:31,280 --> 00:06:35,440 +Celtosyl contact و بعد هيك بيصير فيه degranulation + +67 +00:06:35,440 --> 00:06:40,140 +لا بيصير فيه destruction ولا complement activation + +68 +00:06:40,140 --> 00:06:43,720 +sorry لا بيصير في complement activation ولا بيصير + +69 +00:06:43,720 --> 00:06:49,930 +فيالنوع التالت ان هو Antireceptor Antibody زي ال + +70 +00:06:49,930 --> 00:06:54,110 +Acetylcholine Acetylcholine شو اللي بيصير؟ طبعا ال + +71 +00:06:54,110 --> 00:06:59,730 +Acetylcholine كنا بنعرف ان هو عبارة عن chemical + +72 +00:06:59,730 --> 00:07:07,170 +messenger ناشي اللي Receptor ده هو على كثير من ال + +73 +00:07:07,170 --> 00:07:14,020 +musclesفلو تكوين Antibody لـ Acetylcholine الـ + +74 +00:07:14,020 --> 00:07:18,400 +Acetylcholine بيجي بيشتغل بدل على سبتر مشهور + +75 +00:07:18,400 --> 00:07:22,920 +فبتالي بيبطل اشتغلوبالتالي ايش؟ بيصير فيه blocking + +76 +00:07:22,920 --> 00:07:27,960 +للرسبتور من خلال ال antibody ماشي يبقى ال antibody + +77 +00:07:27,960 --> 00:07:32,100 +عملت disruption لل normal function of الرسبتور وفي + +78 +00:07:32,100 --> 00:07:35,480 +هذه الحالة طبعا ال antibody impaired اللي هو ال + +79 +00:07:35,480 --> 00:07:39,820 +neuromuscular transmission و بيبطل زي ما بيصير في + +80 +00:07:39,820 --> 00:07:41,400 +myasthenia gravis disease + +81 +00:07:46,400 --> 00:07:52,140 +مثالات مثالات مثالات + +82 +00:07:52,140 --> 00:07:57,740 +مثالات + +83 +00:07:57,740 --> 00:07:57,860 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +84 +00:07:57,860 --> 00:07:57,860 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +85 +00:07:57,860 --> 00:07:59,220 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +86 +00:07:59,220 --> 00:07:59,240 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +87 +00:07:59,240 --> 00:08:00,500 +مثالات مثالات مثالات مثالات مثالات مثالات مثالات + +88 +00:08:00,500 --> 00:08:04,800 +مثالات مثالات مثالات + +89 +00:08:04,800 --> 00:08:12,560 +مثالات مثالات + +90 +00:08:12,850 --> 00:08:19,110 +بيعمل اللي هو immediate اللي هو types of + +91 +00:08:19,110 --> 00:08:25,550 +destruction a person with blood group O has in his + +92 +00:08:25,550 --> 00:08:31,690 +own blood NTA و NTP من + +93 +00:08:31,690 --> 00:08:35,290 +نوع ايش؟ من نوع IgM وبالتالي a bone transfusion + +94 +00:08:35,290 --> 00:08:39,890 +with blood group A على سبيل المثالالـ IgM سيقوم + +95 +00:08:39,890 --> 00:08:43,110 +بتقسيم الـ RBCs ويقوم بتفعيل المزيد من المزيد من + +96 +00:08:43,110 --> 00:08:43,650 +المزيد من المزيد من المزيد من المزيد من المزيد من + +97 +00:08:43,650 --> 00:08:44,710 +المزيد من المزيد من المزيد من المزيد من المزيد من + +98 +00:08:44,710 --> 00:08:47,950 +المزيد من المزيد من المزيد من المزيد من المزيد من + +99 +00:08:47,950 --> 00:08:48,170 +المزيد من المزيد من المزيد من المزيد من المزيد من + +100 +00:08:48,170 --> 00:08:51,650 +المزيد من المزيد من المزيد من المزيد من المزيد من + +101 +00:08:51,650 --> 00:08:52,390 +المزيد من المزيد من المزيد من المزيد من المزيد من + +102 +00:08:52,390 --> 00:08:52,390 +المزيد من المزيد من المزيد من المزيد من المزيد من + +103 +00:08:52,390 --> 00:08:52,390 +المزيد من المزيد من المزيد من المزيد من المزيد من + +104 +00:08:52,390 --> 00:08:55,470 +المزيد من المزيد من المزيد من المزيد من المزيد من + +105 +00:08:55,470 --> 00:08:59,350 +المزيد من المزيد من المزيد + +106 +00:09:05,650 --> 00:09:12,670 +وبترتبط بـ Cellular Protein وبالتالي + +107 +00:09:12,670 --> 00:09:19,530 +بتكبر وبتصير Immunogen وبتكون لها Antibody اللي + +108 +00:09:19,530 --> 00:09:25,050 +Antibody برتبط with cells coated with the drug + +109 +00:09:25,050 --> 00:09:30,350 +وبالتالي بيصير فيه cytotoxic damage للخلية + +110 +00:09:32,160 --> 00:09:41,480 +مثالات من حدث مثل هذا مثالات من حدث + +111 +00:09:41,480 --> 00:09:52,500 +مثل هذه مثل هذه مثل هذه مثل + +112 +00:09:52,500 --> 00:09:57,660 +هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل + +113 +00:09:57,660 --> 00:09:58,300 +هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل + +114 +00:09:58,300 --> 00:09:58,300 +هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل + +115 +00:09:58,300 --> 00:09:58,300 +هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل هذه مثل + +116 +00:09:58,300 --> 00:10:01,800 +هذه مثل هذه مثل هذه مثل هذه مثل هذهأردتش positive + +117 +00:10:01,800 --> 00:10:07,060 +أردتش negative mother ماردتش positive fetusبيؤدى + +118 +00:10:07,060 --> 00:10:11,180 +الى تكوين antibody من نوع IGG اللى بينتقل ال + +119 +00:10:11,180 --> 00:10:15,000 +delivery from some fetus in blood to the mother + +120 +00:10:15,000 --> 00:10:21,640 +وبالتالى بيتكوّن anti-rh antibody من نوع IGG هدف + +121 +00:10:21,640 --> 00:10:27,180 +ال second pregnancy بيكنقرص لبلاسينته ويروح على ال + +122 +00:10:27,180 --> 00:10:32,040 +second fetus ويعمل destruction لل RBC's تبعته عشان + +123 +00:10:32,040 --> 00:10:35,800 +هيك بعتوا administration of anti-rh antibodyللأم + +124 +00:10:35,800 --> 00:10:44,060 +في أول 72 ساعة من الإتصال تمنح الـRH مميزة اتفاقية + +125 +00:10:44,060 --> 00:10:47,790 +Autoimmune reaction involving cellمثل الـMembrane + +126 +00:10:47,790 --> 00:10:50,930 +Receptor زي مايسينيا غريفز طبعا شرحناها مايسينيا + +127 +00:10:50,930 --> 00:10:55,830 +غريفز و ال Acetylcholine Receptor طبعا بيصير فيه + +128 +00:10:55,830 --> 00:11:00,130 +Auto Antibody لل Acetylcholine Receptor فبيعمل + +129 +00:11:00,130 --> 00:11:03,830 +Plucking وبالتالي بيعمل Disruption لل Function of + +130 +00:11:03,830 --> 00:11:07,350 +Acetylcholine لأن ال Acetylcholine بيدور على ال + +131 +00:11:07,350 --> 00:11:13,370 +Receptor تبعه بيلاقي مشعور In Graves Diseaseأيضًا + +132 +00:11:13,370 --> 00:11:17,850 +الـ auto-antibody يعمل كـ agonist يعمل استيماليشيا + +133 +00:11:17,850 --> 00:11:21,530 +للـ target cell وبالتالي يحصل في إطلاق لـ TSH + +134 +00:11:21,530 --> 00:11:27,810 +طبعًا بعد الارتباط بالـ TSH ريسبتر وبالتالي يحصل + +135 +00:11:27,810 --> 00:11:31,250 +في استيماليشيا تنتج في عدد عالي من البروثيرودزيم. + +136 +00:11:32,530 --> 00:11:35,330 +Autoimmune reaction involving other cells and + +137 +00:11:35,330 --> 00:11:37,370 +membrane determinants + +138 +00:11:39,300 --> 00:11:46,960 +بعض الناس تصنع انتبادي عادية ضد بلدها وبيعمل + +139 +00:11:46,960 --> 00:11:51,340 +autoimmune hemolytic anemia او autoimmune + +140 +00:11:51,340 --> 00:11:55,740 +hemolytic reaction فإذا ارتبط بال RBC بيعمل + +141 +00:11:55,740 --> 00:12:02,400 +autoimmune hemolytic anemia وبالتالي بيعملسواء كان + +142 +00:12:02,400 --> 00:12:06,580 +الهيمولاسيز الانترافسكولار أو بعض المرات بايفاجو + +143 +00:12:06,580 --> 00:12:15,500 +سيتروسيز via the FC region receptor + +144 +00:12:15,500 --> 00:12:18,160 +or C3b receptor + +145 +00:12:22,280 --> 00:12:26,240 +هذا ما يتعلق بالـType 2 وType 3 هو Immune Complex + +146 +00:12:26,240 --> 00:12:29,960 +Reaction من الاسم Immune Complex Reaction بس فيه + +147 +00:12:29,960 --> 00:12:34,200 +Antigen Antibody reaction بين الانتجن و IgM IgG ثم + +148 +00:12:34,200 --> 00:12:38,020 +Accumulation في التشيوة وبنشطة complement of cell + +149 +00:12:38,020 --> 00:12:44,640 +destruction لمنطقة ترسبهم في التشيوة ماشي Normally + +150 +00:12:44,640 --> 00:12:48,400 +small amounts of complexes are removed by + +151 +00:12:48,400 --> 00:12:53,600 +phagocytic cellالكومبليكسات تقبض على مصادر IGG-FC + +152 +00:12:53,600 --> 00:12:57,680 +على مصادر الفابوسيتكية، مصادر الفابوسيتكية، + +153 +00:12:57,680 --> 00:13:05,040 +الـRBCs مع مصادر C3B تقبض على كومبليكس يمكن أن يتم + +154 +00:13:05,040 --> 00:13:09,340 +إيقافه من الجلد، من الجلد من مصادر الـComfort Cell + +155 +00:13:11,220 --> 00:13:16,140 +لما بيزيد كمية الـ Complexes، they deposit in the + +156 +00:13:16,140 --> 00:13:19,760 +tissue، وي trigger a variety of systemic symptoms + +157 +00:13:19,760 --> 00:13:23,080 +known as type 3 hypersensitivity reaction. + +158 +00:13:24,040 --> 00:13:26,680 +Complexes ممكن تترسب على ال kidney، على ال skin، + +159 +00:13:26,680 --> 00:13:30,480 +على ال joint، على الchoroid plexus، and ciliary + +160 +00:13:30,480 --> 00:13:35,020 +artery of the eye. Antigen antibody complex may + +161 +00:13:35,020 --> 00:13:41,090 +fix complementأو تشغّل أفكتورات في النيتروفيل التي + +162 +00:13:41,090 --> 00:13:47,370 +يمكن أن تسبب فيها إدارة ديشو C3A وC5A تم إجراءها + +163 +00:13:47,370 --> 00:13:49,690 +من خلال تشغيل المزيد من المزيد من الميزات التي + +164 +00:13:49,690 --> 00:13:52,510 +يمكن أن تسبب فيها إدارة ديشو + +165 +00:13:55,590 --> 00:13:58,690 +ميكروفيج مدعوم لإطلاق تجارب تجارب تجارب تجارب + +166 +00:13:58,690 --> 00:14:00,410 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +167 +00:14:00,410 --> 00:14:02,190 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +168 +00:14:02,190 --> 00:14:04,170 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +169 +00:14:04,170 --> 00:14:04,390 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +170 +00:14:04,390 --> 00:14:04,390 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +171 +00:14:04,390 --> 00:14:04,390 +تجارب تجارب تجارب تجارب تجارب تجارب تجارب تجارب + +172 +00:14:19,210 --> 00:14:28,210 +الانفلاماتوري اكشن وهو ممكن يؤدي للـ sign of ايش؟ + +173 +00:14:28,210 --> 00:14:33,430 +of type 3 ده هي المراحل الأولاني بيصير في immune + +174 +00:14:33,430 --> 00:14:38,670 +complex formation على ال endothelial cell تبدأ + +175 +00:14:38,670 --> 00:14:43,300 +تتجمع level immune complex ايش؟هو بترتبط بال + +176 +00:14:43,300 --> 00:14:46,340 +tissue أو بال cell membrane، endothelial cell + +177 +00:14:46,340 --> 00:14:51,980 +membrane، ماشي؟ ايوة، طبعا في الأول كل اللي معاه + +178 +00:14:51,980 --> 00:14:56,750 +هناك خش ال antigenو لجاله ريسبتور على سطح + +179 +00:14:56,750 --> 00:15:00,830 +البيلينفوس هيتنشطها و خلّها بلازمة سلفة كونة + +180 +00:15:00,830 --> 00:15:04,570 +antibody و بدأت كمية كبيرة من ال antigen دهي + +181 +00:15:04,570 --> 00:15:08,950 +fragmented antigen ترتبط ب antibody بكميات كبيرة و + +182 +00:15:08,950 --> 00:15:13,010 +تكون immune complexes اترسبت على وين؟ على جدار + +183 +00:15:13,010 --> 00:15:17,430 +اللي هو ال endothelium اللي هو blood vessel + +184 +00:15:17,430 --> 00:15:22,180 +membraneماذا يحصل؟ تأتي الـ Neutrophil تخلصنا من + +185 +00:15:22,180 --> 00:15:24,900 +هذه الـ immune complexes و تبدأ لإنه عبارة عن + +186 +00:15:24,900 --> 00:15:29,380 +reticulum endothelial cell أحد أدوات reticulum + +187 +00:15:29,380 --> 00:15:36,840 +endothelial system فتأتي تحاول تخلصنا، ماشي، فشو + +188 +00:15:36,840 --> 00:15:37,440 +اللي بصير؟ + +189 +00:15:40,070 --> 00:15:45,410 +سيتم إكتشافه و إطلاق صيتوكاين طبعا الصيتوكاين في + +190 +00:15:45,410 --> 00:15:52,030 +هذه الحالة ماذا يفعل؟ ينشط هذه الخلايا بيحتوي على + +191 +00:15:52,030 --> 00:15:55,750 +مواد كثيرة جدا من ضمنها Platelet-derived growth + +192 +00:15:55,750 --> 00:16:00,530 +factor بنشط البلاتلت أدوام الجلطة والجرانيول أو + +193 +00:16:00,530 --> 00:16:04,270 +النيوتروفيل بتحاول تاخد الكمplex بتقدرش فبتعمل + +194 +00:16:04,270 --> 00:16:09,030 +degranulationماشي فبصير فيه tissue damage في منطقة + +195 +00:16:09,030 --> 00:16:16,890 +إيش لطبع ال immune complex بال tissue + +196 +00:16:16,890 --> 00:16:26,450 +و هكذا بصير فيه inflammatory reaction Antigen + +197 +00:16:26,450 --> 00:16:30,290 +antibody من ال immune complexes form in the + +198 +00:16:30,290 --> 00:16:34,510 +circulation بصير لها deposition in various tissue + +199 +00:16:35,250 --> 00:16:38,590 +وبصير فيه inflammatory reaction in various tissue + +200 +00:16:38,590 --> 00:16:44,030 +طبعا deposition of + +201 +00:16:44,030 --> 00:16:50,650 +these complexes is influenced by their size فمثلا + +202 +00:16:50,650 --> 00:16:53,910 +small and intermediate complexes which circulate + +203 +00:16:53,910 --> 00:16:58,490 +for longer time tend to be deposited while larger + +204 +00:16:58,490 --> 00:17:01,210 +complexes are rapidly removed by phagocytic cell + +205 +00:17:03,380 --> 00:17:06,280 +Integrity of one nuclear phagocytic system + +206 +00:17:06,280 --> 00:17:08,640 +influenced the development of systemic immune + +207 +00:17:08,640 --> 00:17:13,960 +complexes طبيعي جدا Serum + +208 +00:17:13,960 --> 00:17:17,880 +sickness disease prototype مثال حي جدا على هذا + +209 +00:17:17,880 --> 00:17:22,500 +الكلام على immune complexes disease treatment with + +210 +00:17:22,500 --> 00:17:27,940 +horse serum containing antibody to some bacterial + +211 +00:17:27,940 --> 00:17:33,300 +toxin من عطاب وبعد مرات بتعطيتبع من الـ Horse + +212 +00:17:33,300 --> 00:17:38,060 +Serum يحتوي على Antibody يعني Passive Treatment + +213 +00:17:38,060 --> 00:17:43,080 +Passive Antibody أو Passive Immunization ماشي + +214 +00:17:43,080 --> 00:17:46,600 +بكتيريا توكسين طبعا التوكسين كميات كبيرة دخلت + +215 +00:17:46,600 --> 00:17:51,980 +Antibody بكميات كبيرة شو اللي بيصير upon second + +216 +00:17:51,980 --> 00:17:53,620 +injection of Horse Serum + +217 +00:17:58,930 --> 00:18:03,350 +طبعا for a human body it will may develop serum + +218 +00:18:03,350 --> 00:18:11,770 +sickness or allergic manifestation احنا + +219 +00:18:11,770 --> 00:18:15,950 +دخلنا في الأول في ال first injection antibody from + +220 +00:18:15,950 --> 00:18:21,470 +horse serum for bacterial toxin طبعا ال antibody + +221 +00:18:21,470 --> 00:18:25,630 +اللي دخل الجسم يعتبره كأنتجن فكونله antibody upon + +222 +00:18:25,630 --> 00:18:30,070 +secondExposure او Second Injection دخل الانتيبادي + +223 +00:18:30,070 --> 00:18:36,210 +يعتبر ان الانتيبادي دخل الانتيبادي من الهورس طبعا + +224 +00:18:36,210 --> 00:18:39,750 +فيه انتيبادي في ال human وبالتالي ستفعل بين + +225 +00:18:39,750 --> 00:18:43,410 +الانتيجين اللي هو عبارة عن a horse antibody مع + +226 +00:18:43,410 --> 00:18:46,590 +الانتيبادي اللي اتكون له وعمل serum sickness + +227 +00:18:46,590 --> 00:18:48,490 +robotic fever + +228 +00:18:51,770 --> 00:18:56,670 +والسيكويل من جروب A Striptococcal infection نشوف + +229 +00:18:56,670 --> 00:19:02,350 +ايش it involves inflammation or damage to the + +230 +00:19:02,350 --> 00:19:07,130 +heart, joint and kidney Striptococcus خشت ماشي + +231 +00:19:07,130 --> 00:19:14,270 +وطبعا كوان لها antibody صار فيها antibody reaction + +232 +00:19:14,270 --> 00:19:19,980 +فعلى ترسب على أعضاء كثيرة من الجسمالأنتيجن في محطة + +233 +00:19:19,980 --> 00:19:26,060 +الحرارة ومكعبات الستبتوكوكسي يتعامل مع الانتيجن + +234 +00:19:26,060 --> 00:19:31,500 +البشري الموجود في قلب، عضلات، قلبي ورفريتس + +235 +00:19:31,500 --> 00:19:36,180 +وبالتالي الانتيبادي للستبتوكوكوكسي الانتيجن مرتبط + +236 +00:19:36,180 --> 00:19:41,040 +بهذه المجموعة ويستخدمها اللي هو الانفلاماتورية + +237 +00:19:43,530 --> 00:19:47,170 +بنفس الـ Antigen تبع الـ Steptococcus بـ Self + +238 +00:19:47,170 --> 00:19:52,350 +Antigen و بده الجسم يكوّن Antibody للفرن Antigen + +239 +00:19:52,350 --> 00:19:56,250 +اللي ماسك بـ Self Antigen وبالتالي بيحصل فيه + +240 +00:19:56,250 --> 00:20:02,870 +Tissue Damage Arthras Reaction هو عبارة عن مثال حي + +241 +00:20:02,870 --> 00:20:07,910 +بوال Localized Immune Complex Reaction Local + +242 +00:20:07,910 --> 00:20:12,490 +Inflammatoryالتجارة التي تم تجريها بعد تجارة + +243 +00:20:12,490 --> 00:20:15,290 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +244 +00:20:15,290 --> 00:20:16,350 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +245 +00:20:16,350 --> 00:20:18,390 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +246 +00:20:18,390 --> 00:20:21,530 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +247 +00:20:21,530 --> 00:20:22,530 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +248 +00:20:22,530 --> 00:20:23,530 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +249 +00:20:23,530 --> 00:20:26,330 +الانتجين التي تم تجريها بعد تجارة الانتجين التي تم + +250 +00:20:26,330 --> 00:20:30,790 +تجريها بعد تجارة الانتجين التي تم تجريها بعد تجارة + +251 +00:20:30,790 --> 00:20:36,150 +الانتجين التي تم تجريها بعد تجارة + +252 +00:20:39,960 --> 00:20:44,500 +هذا ما يتعلق بالنوع التالت النوع الرابع والاخير من + +253 +00:20:44,500 --> 00:20:46,740 +الـ Hypersensitivity هو الـ Delayed Type + +254 +00:20:46,740 --> 00:20:52,140 +Hypersensitivity وهذا ما لهش دخل الـ Antibody في + +255 +00:20:52,140 --> 00:20:55,080 +الموضوع وهو عبارة عن Cell Mediated Immunity + +256 +00:20:55,080 --> 00:20:59,800 +Reaction شو اللي بيصير؟ كانت Mediated By T Cell + +257 +00:20:59,800 --> 00:21:04,120 +Dependent Infector Mechanism تتنشط CD4 T Helper 1 + +258 +00:21:04,120 --> 00:21:10,990 +and CD8 Cytotoxic T Cellو كما قلنا الـ Antibody ما + +259 +00:21:10,990 --> 00:21:14,770 +إيه اللي دخل في الموضوع، برشدور، شو بتعمل تهيلبر + +260 +00:21:14,770 --> 00:21:18,650 +1؟ قالوا upon activation it releases cytokine اللي + +261 +00:21:18,650 --> 00:21:20,910 +بتعمل على ال accumulation و activation of + +262 +00:21:20,910 --> 00:21:26,410 +macrophage وبالتالي بتعمل local damage لما تتنشط + +263 +00:21:26,410 --> 00:21:32,890 +في delay of onset لأنه type 4 قالوا reaction can + +264 +00:21:32,890 --> 00:21:39,110 +be transferred only with T cellالتجارب اللي ترى + +265 +00:21:39,110 --> 00:21:43,890 +هذا النوع من الإجابة قد تكون تجارب خلية مثل الـ + +266 +00:21:43,890 --> 00:21:48,570 +Allograft Reaction إتراسلولار + +267 +00:21:48,570 --> 00:21:52,690 +براسايد وفيروسين + +268 +00:21:52,690 --> 00:21:59,990 +ميكوبكتيريا فنجاى صليبالبروتين او جسد مدخل يدخل + +269 +00:21:59,990 --> 00:22:07,420 +الجسد وقبله إلى جسد بروتين يعمل كمهارةبعدة حاجات + +270 +00:22:07,420 --> 00:22:16,800 +ممكن تعمل لنا هذا النوع من الحساسية ماذا + +271 +00:22:16,800 --> 00:22:20,860 +يميز type hypersensitivity clinical feature is + +272 +00:22:20,860 --> 00:22:29,160 +vary تعتمد على sensitizing antigen وكيف دخل major + +273 +00:22:29,160 --> 00:22:34,100 +event leading to type 4 هي الأحداث القاتية + +274 +00:22:35,450 --> 00:22:38,270 +activation of antigen-specific inflammatory T + +275 +00:22:38,270 --> 00:22:43,110 +helper-1 in previously sensitized individual يعني + +276 +00:22:43,110 --> 00:22:47,790 +داخل الانتجين قبل هيك نشطة بـ T helper-1 صار فيه + +277 +00:22:47,790 --> 00:22:53,350 +memory cell ناشي previously sensitized individual + +278 +00:22:53,350 --> 00:22:57,870 +secretion of cytokine by antigen-specific T helper + +279 +00:22:57,870 --> 00:23:02,110 +-cellبيدى الـ Recruitment and Activation of + +280 +00:23:02,110 --> 00:23:06,270 +Antigen Non-Specific Inflammatory Leukocyte + +281 +00:23:06,270 --> 00:23:10,850 +والميكانيزم كالاتم ده هو نمرة واحد Synthetization + +282 +00:23:10,850 --> 00:23:15,610 +Stage وفيه الـ Cytation Stage فالـ Synthetization + +283 +00:23:15,610 --> 00:23:21,870 +هي أنتجت دخل صلوا Injection Subcutaneously تلقفته + +284 +00:23:21,870 --> 00:23:27,730 +أنتجت Presenting Cell وعملتله Processingوهنا مثال + +285 +00:23:27,730 --> 00:23:32,750 +على ناجرهانز cell in the skin زي الـ antigen + +286 +00:23:32,750 --> 00:23:37,350 +-presenting cell طبعاً قمت بعمل processing ليش صار + +287 +00:23:37,350 --> 00:23:45,610 +في هذه الحالة؟ ان الخلايا + +288 +00:23:45,610 --> 00:23:51,370 +هذه طبعاً ممكن تصل اللي هو blood vessels بسهولة + +289 +00:23:51,370 --> 00:23:58,350 +اللي بتتقدم هذهالـ Antigenات لـ T-cell which can + +290 +00:23:58,350 --> 00:24:06,690 +recognize MHC peptide antigen و + +291 +00:24:06,690 --> 00:24:09,590 +تبدأ T-cell لها differentiation يعني تتنشط هذه + +292 +00:24:09,590 --> 00:24:17,870 +تقدمت فصارت تي البروان تكونت ماشي اللي تي البروان + +293 +00:24:17,870 --> 00:24:24,130 +طبعا يعني أفرزت cytokine او تنشطت وأفرزت cytokine + +294 +00:24:26,610 --> 00:24:31,690 +هلجت صار في أنها طبعا حدث أولاني و خلصنا منه لكن + +295 +00:24:31,690 --> 00:24:37,030 +تتمشيط و اتحولت تلاقي vector cell و memory cell + +296 +00:24:37,030 --> 00:24:42,130 +قبل second or antigenic challenge يعني دخل الانتجن + +297 +00:24:42,130 --> 00:24:42,870 +مرة تانية + +298 +00:24:45,620 --> 00:24:49,720 +it will activate T-Helper cell and cytokine will + +299 +00:24:49,720 --> 00:24:52,980 +recruit the activation of macrophage and other + +300 +00:24:52,980 --> 00:24:57,620 +inflammatory cells هذا هو دخل الانتجين مرة تانية + +301 +00:24:57,620 --> 00:25:04,520 +يعني تتنشط اللي هو T-Helper I اللي بتنشط النميم + +302 +00:25:04,520 --> 00:25:09,200 +اللي بتنشط اللي هو ال macrophage المثال على ال + +303 +00:25:09,200 --> 00:25:13,460 +macrophage طبعا ال macrophage it will infiltrate + +304 +00:25:15,630 --> 00:25:19,690 +تسبب في مجموعة من البلازما والتشيو دامير الموجودة. + +305 +00:25:21,730 --> 00:25:26,690 +في هذه المراحل دخل الانتجين واخدته الـ Antigen + +306 +00:25:26,690 --> 00:25:31,410 +Presenting Cell ثم قدمته الـ T-Helper Cell واتنشطت + +307 +00:25:31,410 --> 00:25:35,970 +وصار في عيننا already activated T-Helper Cell upon + +308 +00:25:35,970 --> 00:25:42,150 +second exposure this activated cell will release + +309 +00:25:42,150 --> 00:25:46,220 +cytokineوبالتالي بيصير فيه recruitment و + +310 +00:25:46,220 --> 00:25:50,160 +activation ل macro phage و اخر inflammatory cell + +311 +00:25:50,160 --> 00:25:57,640 +that can penetrate and اللي هو infiltrated tissue + +312 +00:25:57,640 --> 00:26:04,280 +او ال blood vessels على سبيل المثال وبالتالي هناك + +313 +00:26:04,280 --> 00:26:09,700 +بيصير فيه tissue damage من macro phage و ال + +314 +00:26:12,680 --> 00:26:21,540 +سلسلة إنفلامات أخرى الـ Late + +315 +00:26:21,540 --> 00:26:24,240 +-type hypersensitivity reaction أيضًا يتواصل بـ + +316 +00:26:24,240 --> 00:26:29,680 +CD8 تلينفسايد سايتوتوكسيك T-Linfocyte يمكن ان يتم + +317 +00:26:29,680 --> 00:26:37,940 +استعماله وانتشاره في حالة حركة التنسيق للتجارب CD8 + +318 +00:26:39,480 --> 00:26:42,700 +T cell damaged tissue by cell-mediated + +319 +00:26:42,700 --> 00:26:48,680 +cytotoxicity.Activation of CD8 T cell occur as a + +320 +00:26:48,680 --> 00:26:51,820 +consequence of the ability of many lipid soluble + +321 +00:26:51,820 --> 00:26:55,420 +chemical capable of inducing delayed type + +322 +00:26:55,420 --> 00:26:59,180 +hypersensitivity reaction to cross the cell + +323 +00:26:59,180 --> 00:27:05,000 +membrane.مثل + +324 +00:27:05,000 --> 00:27:05,720 +على ذلك + +325 +00:27:10,030 --> 00:27:17,750 +الأمثلة الـ Pentadeca-Catechol هو برعن كيميكال + +326 +00:27:17,750 --> 00:27:24,310 +اللي يدفع إلى البوازين E-V انه مدفع في + +327 +00:27:24,310 --> 00:27:32,130 +الـCytoplasm لتحضير مدفعين بيبتايد اللي مرتفعين + +328 +00:27:32,130 --> 00:27:35,970 +إلى الـIndoplasmic reticulum ثم يتم تحضيره إلى + +329 +00:27:35,970 --> 00:27:43,910 +المنفذالـ surface مرتبطة بالـ MHC Class 1 موليكيول + +330 +00:27:43,910 --> 00:27:49,870 +اللي صار في cells presenting such modified cell + +331 +00:27:49,870 --> 00:27:59,110 +protein طبعا subsequently damaged or killed by CD8 + +332 +00:27:59,110 --> 00:28:05,190 +يعني هذه عبارة عن مادة كيميائيةبتعمل induction + +333 +00:28:05,190 --> 00:28:10,150 +للـpoison EV دخل وخش على الـcytoplasm تفتفت ثم ده + +334 +00:28:10,150 --> 00:28:14,230 +هو وصل الـendoplasm كريتكيلا ويطلع مرتبط على سطح + +335 +00:28:14,230 --> 00:28:18,710 +الخلايا بالـMHC class I موليكيل تقدم لتيه + +336 +00:28:18,710 --> 00:28:23,230 +cytotoxic lymphocytes اللي اتنشطت وعملت damage و + +337 +00:28:23,230 --> 00:28:26,970 +killing لهذا الانتجار امثل على ذلك contact + +338 +00:28:26,970 --> 00:28:30,290 +sensitivity او contact dermatitis + +339 +00:28:33,350 --> 00:28:39,730 +طبعا هذا prototype prototype يعني مثال نموذجي of + +340 +00:28:39,730 --> 00:28:44,370 +contact dermatitis is mosin ev dermatitis فأي واحد + +341 +00:28:44,370 --> 00:28:49,130 +بيمسكه بيخش عن طريق ال epidermis + +342 +00:28:52,630 --> 00:28:57,110 +بفتفت في الـ cytoplasm و هكذا زى ما تقولنا The + +343 +00:28:57,110 --> 00:28:59,670 +offending substance is contained in an oil + +344 +00:28:59,670 --> 00:29:06,470 +secreted by the leaves of poison ivy, vine and + +345 +00:29:06,470 --> 00:29:10,130 +other related plants بعض النباتات بتطلعنا هذه + +346 +00:29:10,130 --> 00:29:15,370 +الموانع اللى لو مسكها و لمسها اللى هو المادة + +347 +00:29:15,370 --> 00:29:21,370 +الزيتية بيصير عنده هذا ال reactionOils contain a + +348 +00:29:21,370 --> 00:29:27,050 +mixture of catecholazate اللي هو Dihydroxyphenol + +349 +00:29:27,050 --> 00:29:33,990 +with long hydrocarbon side chain هيعملوا + +350 +00:29:33,990 --> 00:29:40,810 +penetration للسكن من خلال ال lipofilicity فنومينا + +351 +00:29:40,810 --> 00:29:46,010 +و برتبطوا covalently to cell associated protein و + +352 +00:29:46,010 --> 00:29:52,570 +بيكونواImmunogen يبقى في الأساس هم عبارة عن هابتين + +353 +00:29:52,570 --> 00:29:57,250 +ارتبطوا في البروتين اللي هتكوّنوها مثال آخر زي ال + +354 +00:29:57,250 --> 00:30:05,010 +nickel و ال chrome اللي بيكون موجود في ال jewelry + +355 +00:30:05,010 --> 00:30:10,670 +هذولة أبيضا مع المدة can induce contact + +356 +00:30:10,670 --> 00:30:15,190 +sensitivity غالبا by chelation to skin protein + +357 +00:30:15,190 --> 00:30:23,350 +برتبطه مع كل cell proteinالـ Alergen اللي دخل تطلق + +358 +00:30:23,350 --> 00:30:28,590 +فلان Gerhansel بنشطه البرمجة الـ one الـ clone + +359 +00:30:28,590 --> 00:30:35,210 +وsubsequent + +360 +00:30:35,210 --> 00:30:35,810 +contact + +361 +00:30:39,440 --> 00:30:41,780 +مع الـ Synthesizing agent تشغّل مرحلة + +362 +00:30:41,780 --> 00:31:07,280 +الهيبراسيتسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيسيس + +363 +00:31:08,720 --> 00:31:12,400 +عدد كبير من الـ T lymphocyte برضه بيعمل نفس ال + +364 +00:31:12,400 --> 00:31:17,860 +reaction إيش الفحوصات؟ for the presence of contact + +365 +00:31:17,860 --> 00:31:25,240 +sensitivity a solution of suspected antigen is + +366 +00:31:25,240 --> 00:31:31,340 +spread on the skin and covered by occlusive + +367 +00:31:31,340 --> 00:31:32,000 +dressing + +368 +00:31:35,380 --> 00:31:41,640 +طبعا خلال ثلاثة أيام تظهر منطقة of induration او + +369 +00:31:41,640 --> 00:31:50,720 +ارثميا وهذه اللي هو indication that the test is + +370 +00:31:50,720 --> 00:31:56,020 +positive tuberclein-type hypersensitivity a + +371 +00:31:56,020 --> 00:32:01,000 +cutaneous inflammatory reaction بيتميز by red + +372 +00:32:01,000 --> 00:32:04,760 +swellingof the skin خلال اكتر من اربعين لاتنين + +373 +00:32:04,760 --> 00:32:10,020 +اربع سبعين ساعة اليوم بيعطوا purified protein + +374 +00:32:10,020 --> 00:32:19,960 +derivative او بيسموه ال man tox test بيعرفوا + +375 +00:32:19,960 --> 00:32:24,280 +اذا كان المريض او الانسان previously sensitized to + +376 +00:32:24,280 --> 00:32:28,580 +antigen expressed by mycobacterium tuberculosis + +377 +00:32:33,250 --> 00:32:37,670 +التابعات اللى هو infection of this organism + +378 +00:32:37,670 --> 00:32:41,930 +الانيازينفليه infiltrated by monocyte micro phase + +379 +00:32:41,930 --> 00:32:50,870 +series وشوية lymphocyte طبعا false negatives HIV + +380 +00:32:50,870 --> 00:32:57,890 +patientوالذين يحصلون على كيمو ثيرابي عالية بسبب + +381 +00:32:57,890 --> 00:33:02,550 +انهيبشن من T-cell الفلس نيجاتيف يحدث في حالات + +382 +00:33:02,550 --> 00:33:06,750 +الimmunodeficiency في حالات ال HIV person في حالات + +383 +00:33:06,750 --> 00:33:10,390 +الكيمو ثيرابي طبعا مافيش مناعة مافيش T-cell عشان + +384 +00:33:10,390 --> 00:33:15,310 +تتنشط بينما الفلس بيزيتيف يحدث في حالات + +385 +00:33:15,310 --> 00:33:18,450 +الvaccination by BCG + +386 +00:33:20,830 --> 00:33:23,670 +الـ Allograft Reaction أو الـ Rejection عفوًا + +387 +00:33:23,670 --> 00:33:27,930 +طبعًا تتعامل مع الـ Late type hypersensitivity + +388 +00:33:27,930 --> 00:33:33,070 +بشكل كورتيكوستيرويد بشكل طبيعي أو بشكل أساسي + +389 +00:33:33,070 --> 00:33:39,610 +إمينوسوبرسف الدروس قد يكون استخدامه في حالات عظيمة + +390 +00:33:39,610 --> 00:33:43,330 +بهيك + +391 +00:33:43,330 --> 00:33:45,990 +بنكون غطينا الأنواع الأربعة من الـ + +392 +00:33:45,990 --> 00:33:53,070 +Hypersensitivity Reactionنتمنى أن تكونوا قد + +393 +00:33:53,070 --> 00:33:58,350 +استمتعتم بها واستفدتم منها + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/zGPx39SDnxE_postprocess.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/zGPx39SDnxE_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..5db22359a5c428f260814a399da3792932def03d --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/zGPx39SDnxE_postprocess.srt @@ -0,0 +1,1264 @@ +1 +00:00:03,950 --> 00:00:08,970 +بسم الله الرحمن الرحيم والصلاة والسلام على سيد + +2 +00:00:08,970 --> 00:00:15,270 +الخلق أجمعين سيدنا ونبينا محمد الصادق الأمين بداية + +3 +00:00:15,270 --> 00:00:22,310 +نرحب بكم جميعا في هذا المساق وإن شاء الله بيكون + +4 +00:00:22,310 --> 00:00:26,770 +مساق دم خفيف علينا وعليكم بإذن الله في الظروف من + +5 +00:00:26,770 --> 00:00:31,830 +هذه النوع التي ندعو الله أن لا تطول علينا + +6 +00:00:36,570 --> 00:00:41,130 +مثاقنا اللى ان شاء الله بناحكى فيه هو مناعة و + +7 +00:00:41,130 --> 00:00:46,670 +المناعة ان شاء الله يبى .. يعني انتوا أكيد كلكم + +8 +00:00:46,670 --> 00:00:52,190 +ماخدين مناعة قبل هيك ف .. هنتطرق ان شاء الله + +9 +00:00:52,190 --> 00:00:56,170 +لمواضيع بنفس المسميات اللى مرت عليكوا في المناعة + +10 +00:00:56,170 --> 00:01:01,910 +السابقة لكن بنوع + +11 +00:01:01,910 --> 00:01:08,920 +من التفصيل أكترالمساق هيكون عبارة عن محاضرات + +12 +00:01:08,920 --> 00:01:17,340 +powerpoint و هقوم ان شاء الله بشرحها بشيء ملخص لان + +13 +00:01:17,340 --> 00:01:21,300 +المحاضرات هتكون طويلة فانا هعطيكوا ال summary تبع + +14 +00:01:21,300 --> 00:01:26,440 +ال course لان اصلا بقدرش يعني المدة مدة المحاضرة + +15 +00:01:26,440 --> 00:01:33,280 +المصورة عندي محدودة و مطلوب منكوا طبعا قراية هذه + +16 +00:01:33,280 --> 00:01:38,330 +المحاضرةو ما بين كل محاضرتين تلاتة ممكن نعملنا + +17 +00:01:38,330 --> 00:01:43,970 +لقاء مفتوح نراجع فيه إذا في أي نقطة مش مفهومة أو + +18 +00:01:43,970 --> 00:01:53,050 +إذا في سؤال مش مفهوم هذه حاجة الحاجة التانية إحنا + +19 +00:01:53,050 --> 00:01:57,850 +معانا أربع تاشر أسبوع منهم أسبوع أو أسبوعين + +20 +00:01:57,850 --> 00:02:03,870 +للامتحان النصفي و ال finalبيضل عندنا 12 أسبوع + +21 +00:02:03,870 --> 00:02:09,850 +فهيكون عندنا تقريبا 12 محاضرة وبالتالي + +22 +00:02:09,850 --> 00:02:13,750 +مش راح نقدر نغطي كل المواضيع المهمة في المناقة + +23 +00:02:13,750 --> 00:02:24,550 +فبالتالي هيكون في جزء seminar مطلوب منك أنت كطالب + +24 +00:02:24,550 --> 00:02:35,220 +تحضرلنا محاضرة في موضوعلم نتطرق اليه مناعي طبعا او + +25 +00:02:35,220 --> 00:02:42,920 +نقوم بعمل يعني مادة إسرائية اللي هو تجيد او تضيف + +26 +00:02:42,920 --> 00:02:50,300 +في محاضرة معينة نقاط لم نتطرق اليها من بعد هنتفق + +27 +00:02:50,300 --> 00:02:55,520 +ان شاء الله على هذا الموضوع ونوزعلكوا هذه العناوين + +28 +00:02:55,520 --> 00:03:04,340 +كل على حدال .. زي ما انتوا عارفين نظام الجامعة حدد + +29 +00:03:04,340 --> 00:03:09,700 +انه هيكون فينا نصفي و نهائي النصفي بيتكون من عندنا + +30 +00:03:09,700 --> 00:03:14,520 +.. هيكون عندي 40 درجة هنقسمهم + +31 +00:03:14,520 --> 00:03:22,540 +إلى عشرين seminar اللي أنا قاعد بحكي عليه و عشرين + +32 +00:03:22,540 --> 00:03:26,600 +امتحان نصفي و هيكون فيه ستين درجة على ال final + +33 +00:03:26,600 --> 00:03:33,250 +اللي غالبا هيكون في الجامعة غالباهيكون في الجامعة + +34 +00:03:33,250 --> 00:03:38,990 +فبالتالي ال course مقسم كالقاتي عشرين درجة seminar + +35 +00:03:38,990 --> 00:03:43,630 +عشرين درجة نصفي وان كنت انا شايفها قليلة شوية و + +36 +00:03:43,630 --> 00:03:49,130 +ستين درجة اللي هو النهائي احنا ممكن نخل ال نصفي + +37 +00:03:49,130 --> 00:03:53,750 +تلاتين وعشرين seminar هي خمسين وخمسين نصفي بيكون + +38 +00:03:53,750 --> 00:04:01,450 +افضل من هذه التقسيمة زين يا زينان شاء الله خير + +39 +00:04:01,450 --> 00:04:07,250 +الان المحاضرة الأولى زى ما انتوا شايفين نبدأ على + +40 +00:04:07,250 --> 00:04:10,410 +بركة الله المحاضرة الأولى زى ما انتوا شايفين هى + +41 +00:04:10,410 --> 00:04:15,770 +عبارة عن محاضرة مقدمة وغالبا احنا فى المقدمة بنعمل + +42 +00:04:15,770 --> 00:04:21,750 +refreshing to your memory بنستدعى او بننشر + +43 +00:04:21,750 --> 00:04:26,810 +ذاكرتكوا فى علم المناعة فحنتطرق لبعض المواضع اللى + +44 +00:04:26,810 --> 00:04:29,210 +انا بتأكد انكوا تعرفوها واخدتوها سابقا + +45 +00:04:33,140 --> 00:04:36,920 +اسم المحاضرة introduction يبقى هنعمل introduction + +46 +00:04:36,920 --> 00:04:45,000 +لل course بيهدي المواضيع طبعا المحاضرة + +47 +00:04:45,000 --> 00:04:50,360 +بتبدأ بال course outline انا يعني يديني حتى تنكيها + +48 +00:04:50,360 --> 00:04:55,270 +حتى مستقلمش راح أتطرق إليه بس كم أنتوا شايفين كل + +49 +00:04:55,270 --> 00:04:59,630 +هذه المواضيع صعب جدا أن أتطرق إليها في مساق من هذا + +50 +00:04:59,630 --> 00:05:03,170 +النوع ان شاء الله قدر الممكن هنغطي الجزء الأكبر + +51 +00:05:03,170 --> 00:05:10,690 +جزء التاني هيكون على شكل سيمينارات الحاجة + +52 +00:05:10,690 --> 00:05:12,950 +التانية اللي بدأت فيها المحاضرة اللي هي timeline + +53 +00:05:12,950 --> 00:05:17,710 +of immunology برضه هذه مش راح أنا أتطرق إليها فده + +54 +00:05:17,710 --> 00:05:21,810 +عبارة عن history of immunologyشو التطورات اللى مرت + +55 +00:05:21,810 --> 00:05:30,090 +فيها مادة المناعة و بتواريخها ماشي برضه فقط للعلم + +56 +00:05:30,090 --> 00:05:37,730 +علشان ايش نعرف احنا لوين وصلين من ناحية عالمية + +57 +00:05:37,730 --> 00:05:44,010 +غالبا ان شاء الله بنكون بنعطيكوا مادة يعني up to + +58 +00:05:44,010 --> 00:05:48,910 +date information في المناعة + +59 +00:05:51,020 --> 00:05:56,160 +ال .. اللي + +60 +00:05:56,160 --> 00:06:00,820 +ان شاء الله هيحنبدأ فيه هو ال introduction و ال + +61 +00:06:00,820 --> 00:06:05,180 +introduction بداية هنذكر مع بعض شوية مصطلحات منعية + +62 +00:06:05,180 --> 00:06:08,680 +نمروا احد ال immunology ما هو ال immunology + +63 +00:06:08,680 --> 00:06:12,700 +immunology يعني علم علم المناعة هو عبارة عن دراسة + +64 +00:06:12,700 --> 00:06:20,250 +اللي هو كل خطوط الدفاع المنعيةاللي موجودة في الجسم + +65 +00:06:20,250 --> 00:06:26,710 +عادية للإنفجار دراسة ال immunity هي قدرتك to + +66 +00:06:26,710 --> 00:06:33,050 +resist the disease ال immune system هو بره مجموعة + +67 +00:06:33,050 --> 00:06:39,370 +الأدوات سواء كانت خلايا or tissue or molecules + +68 +00:06:39,370 --> 00:06:47,860 +اللي موجودة و بنسخرها to resist the diseaseال + +69 +00:06:47,860 --> 00:06:52,000 +immune response هو عبارة عن coordinate work يعني + +70 +00:06:52,000 --> 00:06:58,100 +عمل مشترك of the immune response against foreign + +71 +00:06:58,100 --> 00:07:03,540 +substance عبارة عن طوشة عبارة عن معركة موجودة ما + +72 +00:07:03,540 --> 00:07:07,680 +بين الأدوات المناعية اللي انت تحصل اللي عندك و ما + +73 +00:07:07,680 --> 00:07:11,600 +بين ال foreign substance اللي دخلت على الجسمال + +74 +00:07:11,600 --> 00:07:16,480 +Immunity مصطلح آخر يعني ال native or natural + +75 +00:07:16,480 --> 00:07:20,120 +immunity المناعة الطبيعية اللى موجودة عندك ال + +76 +00:07:20,120 --> 00:07:27,060 +adaptive هو المناعة المقتسبة ومثلا + +77 +00:07:27,060 --> 00:07:33,300 +عليها adaptation to infection ال antigen هو أي + +78 +00:07:33,300 --> 00:07:37,300 +مادة غريبة عندها القدرة دخلة الجسم و عندها القدرة + +79 +00:07:37,300 --> 00:07:41,330 +انها ترتبط ب antibody ممكنالانتيجن يكون ميكروب، + +80 +00:07:41,330 --> 00:07:42,030 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +81 +00:07:42,030 --> 00:07:42,830 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +82 +00:07:42,830 --> 00:07:46,170 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +83 +00:07:46,170 --> 00:07:51,030 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +84 +00:07:51,030 --> 00:07:51,090 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +85 +00:07:51,090 --> 00:08:01,410 +مجرد مجرد + +86 +00:08:01,410 --> 00:08:08,070 +مجر + +87 +00:08:10,420 --> 00:08:16,920 +الـ Antigen Presentation هي عملية تحضير وتقديم للـ + +88 +00:08:16,920 --> 00:08:22,720 +Antigen من خلال تقطيعه إلى Peptide Fragments + +89 +00:08:22,720 --> 00:08:27,280 +موجودة على سطح خلية سنسميها Antigen Presenting + +90 +00:08:27,280 --> 00:08:35,080 +Cell اللي بتقدم الـ Antigen للخلايا المنهيةعبارة + +91 +00:08:35,080 --> 00:08:38,120 +عن مادة ممكن تكون كيلو بكتيريا or bacterial + +92 +00:08:38,120 --> 00:08:45,220 +extracts بنسخرها للمساعدة ك non immunogenic agent + +93 +00:08:45,220 --> 00:08:52,800 +or antigen لتحفيز ال immune response ناشي immunity + +94 +00:08:53,860 --> 00:08:58,340 +زي ما اتفقنا هو برنامج term derived يعني الاسم + +95 +00:08:58,340 --> 00:09:03,460 +تاريخ الاسم من وين جاي جاي من الحصانة الديوماسية + +96 +00:09:03,460 --> 00:09:10,080 +اللي كانت تُعطى لال senators زمان في يما الرومان + +97 +00:09:10,080 --> 00:09:16,640 +ضد أي مساءلة قانونية و بعرفوها بإن هي كل + +98 +00:09:16,640 --> 00:09:22,120 +الميكانيزمات تومرت عليها اللي بتستخدم من قبل الجسم + +99 +00:09:23,680 --> 00:09:28,700 +لحمايته against environmental agents or foreign + +100 +00:09:28,700 --> 00:09:36,140 +substance وزي ما انتوا شايفين الصور بتعبر + +101 +00:09:36,140 --> 00:09:41,880 +عن ال foreign substance المختلفة طبعا ممكن تكون + +102 +00:09:41,880 --> 00:09:45,220 +food, chemicals, drugs, pollen, animal hair or + +103 +00:09:45,220 --> 00:09:50,820 +dander you name it تقسم المناع لنوعين ال innate و + +104 +00:09:50,820 --> 00:09:55,460 +acquired و ال innateهذه خصائصها و لأكمل ال exam + +105 +00:09:55,460 --> 00:10:04,580 +فهذه خصائطها طبعا لإن it is not specific it is + +106 +00:10:04,580 --> 00:10:13,840 +limited لإنه year online encoded and there is no + +107 +00:10:13,840 --> 00:10:20,440 +memory و no reactivity to self ماشي + +108 +00:10:23,500 --> 00:10:27,860 +يعني non-reactive بينما ال adaptive هي عبارة عن + +109 +00:10:27,860 --> 00:10:34,240 +specific و very large receptors that are produced + +110 +00:10:34,240 --> 00:10:42,500 +by somatic recombination في memory و في ايضا + +111 +00:10:42,500 --> 00:10:48,800 +discrimination لل self-antigenالكمبونات على الطرق + +112 +00:10:48,800 --> 00:10:52,380 +ديها ان شاء الله كل على حد اسوان كانت cellular or + +113 +00:10:52,380 --> 00:10:55,460 +blood protein or cells تبعت ال innate و ال + +114 +00:10:55,460 --> 00:10:59,700 +adaptive و دي صورة بتوضح ان ال الاتي بتوضح ان ال + +115 +00:10:59,700 --> 00:11:04,360 +innate cells ده هي النفاق و ساعي، dendritic cells، + +116 +00:11:04,360 --> 00:11:09,000 +angiocelcus و بعض ال elements زي ال antibody و ال + +117 +00:11:09,000 --> 00:11:12,860 +.. و ال .. و ال .. sorry يعني compliment و ليس + +118 +00:11:12,860 --> 00:11:18,460 +antibody ماشي ثم ال adaptiveواللي بتتمثل بال B وT + +119 +00:11:18,460 --> 00:11:23,300 +lymphocyte B وT lymphocyte وانا طبعا ال kinetics + +120 +00:11:23,300 --> 00:11:27,320 +زي ما انتوا شايفين أول ما بده يدافع خط الدفاع + +121 +00:11:27,320 --> 00:11:35,560 +الأول هو ال innate في أول اتناشر ساعة ثم بتبدأ ال + +122 +00:11:35,560 --> 00:11:39,920 +adaptive إذا فشلت طبعا بال innateتبدأ ال adaptive + +123 +00:11:39,920 --> 00:11:48,140 +من يوم لغاية سبعة أيام بتحضير أو بتوشة تبعتها واما + +124 +00:11:48,140 --> 00:11:51,860 +بتخلص ال antigen واما بتستمر هي ال immunity + +125 +00:11:51,860 --> 00:11:56,020 +بأنواعها المختلفة مقسموها إلى تلت أنواع اللي + +126 +00:11:56,020 --> 00:11:59,020 +اتحاكوا بيها بس ال immunity ده اذا ما تشوفون + +127 +00:11:59,020 --> 00:12:00,680 +adaptive immunity و innate immunity + +128 +00:12:08,210 --> 00:12:14,810 +naturally في الجسم ال adaptive قسموها إلى نوعين و + +129 +00:12:14,810 --> 00:12:18,470 +جالو منها natural وهذا ممكن يكون passive من الأم + +130 +00:12:18,470 --> 00:12:23,070 +للطفل or active اذا واحد صاب بال infection و ال + +131 +00:12:23,070 --> 00:12:26,770 +artificial ايضا ممكن تكون passive ان انا انقل + +132 +00:12:26,770 --> 00:12:34,380 +antibody او during by using immunizationفي نوع + +133 +00:12:34,380 --> 00:12:38,180 +تالت اللي هو ال adoptive ال adoptives هو عبارة عن + +134 +00:12:38,180 --> 00:12:41,600 +نقل passive برضه بس بانقل بدل من انقل antibody + +135 +00:12:41,600 --> 00:12:47,600 +بانقل خلايا بانقلياش خلايا cells involved in + +136 +00:12:47,600 --> 00:12:53,320 +acquired immunity فلنشوف طبعا اتفقنا ان هي عبارة + +137 +00:12:53,320 --> 00:12:59,260 +عن lymphocytes و هي عبارة عن T cell و B cell و + +138 +00:12:59,260 --> 00:13:06,140 +التنتين عندهم R specific for the antigenووظيفتها + +139 +00:13:06,140 --> 00:13:10,880 +الأساسية is to recognize and react ماشي against + +140 +00:13:10,880 --> 00:13:15,440 +the antigen نوع التالت اللي هو Antigen Presenting + +141 +00:13:15,440 --> 00:13:21,360 +Cell وهي عبارة عن خلايا بتحمل على سطحها بروتينات + +142 +00:13:21,360 --> 00:13:29,220 +ترتبط بالانتيجن و بتقدمولها الـ T lymphocyte من + +143 +00:13:29,220 --> 00:13:34,550 +اسمها Antigen Presenting Cellووجدوا أن ال protein + +144 +00:13:34,550 --> 00:13:41,330 +اللي على سطحها نوعين هنتطرق إليهم إن شاء الله هو + +145 +00:13:41,330 --> 00:13:48,510 +ال MHC molecule و هنتطرق إليه إن شاء الله قدامه بس + +146 +00:13:48,510 --> 00:13:53,270 +خلينا نتذكركوا بال classes of lymphocytes طبعا في + +147 +00:13:53,270 --> 00:13:55,450 +أنها أكتر من نوع من ال lymphocyte في أنها B + +148 +00:13:55,450 --> 00:14:00,530 +lymphocyteوظيفتها الأساسية is to fight against + +149 +00:14:00,530 --> 00:14:07,730 +micro و بيصير في external micro فبيصير في antigen + +150 +00:14:07,730 --> 00:14:11,230 +و antimode reaction و بيصير في neutralization و + +151 +00:14:11,230 --> 00:14:17,590 +phagocyte و كذا ال T cell في عندنا T helper cell + +152 +00:14:17,590 --> 00:14:21,590 +وظيفتها is to release the cytokine بعد ما يتعرض لل + +153 +00:14:21,590 --> 00:14:27,620 +antigen و هي طبعا هي بتوزع المهامإلى أكتر من نوع + +154 +00:14:27,620 --> 00:14:32,100 +من الخلايا ممكن تنشر بيه ممكن تنشر T-cell T + +155 +00:14:32,100 --> 00:14:36,720 +-cytotoxic cell ال cytotoxic T-lymphocyte عندها + +156 +00:14:36,720 --> 00:14:39,600 +القدرة على قتل الميكروب أو الخلية المصابة + +157 +00:14:39,600 --> 00:14:47,220 +بالميكروب by direct killing ثاني هو T-ring أو + +158 +00:14:47,220 --> 00:14:51,280 +regulatory T-lymphocytes هذه بتعمل control of the + +159 +00:14:51,280 --> 00:14:53,580 +immune response by suppression of the immune + +160 +00:14:53,580 --> 00:14:59,110 +responseوفيها خلية أخرى وهي الـ NK cell وهذه طبعا + +161 +00:14:59,110 --> 00:15:04,350 +عندها القدرة أن تعمل قتل مباشر لمن؟ للخلية المصابة + +162 +00:15:04,350 --> 00:15:10,050 +بالmyocardite وهذه ال info site classes من مرجع + +163 +00:15:10,050 --> 00:15:16,150 +آخر زي ما قلتلكوا في two proteins موجودة على ال + +164 +00:15:16,150 --> 00:15:19,390 +antigen presenting cell وكل خلاية الجسم يعمل على + +165 +00:15:19,390 --> 00:15:23,410 +antigen presenting cellسمينا البروتينة دا major + +166 +00:15:23,410 --> 00:15:26,070 +histocompatibility complex وفي من النوعين واحد + +167 +00:15:26,070 --> 00:15:29,930 +واثنين class 1 و class 2 وزي ما انتوا شايفين من + +168 +00:15:29,930 --> 00:15:32,850 +الصورة الفرق الوحيد انه في class واحد في one + +169 +00:15:32,850 --> 00:15:37,850 +binding site بينما في class اتنين في two chain او + +170 +00:15:37,850 --> 00:15:40,270 +polyp ابتعاد + +171 +00:15:47,140 --> 00:15:53,180 +الـ Hemoral تتمثل بال B lymphocyte function و كلنا + +172 +00:15:53,180 --> 00:15:55,680 +بنعرف أن ال B lymphocyte بتطلع لنا antibody فال + +173 +00:15:55,680 --> 00:15:59,860 +antibody هو عبارة عن ال hemoral part of immunity + +174 +00:15:59,860 --> 00:16:03,080 +أو acquired immunityبينما ال cell-mediated + +175 +00:16:03,080 --> 00:16:06,620 +immunity هي عبارة عن ال من Cellular هذا يعني + +176 +00:16:06,620 --> 00:16:09,680 +Cellular Cell-mediated يعني خلايا بدون اللي بتقوم + +177 +00:16:09,680 --> 00:16:13,660 +فيها ال T-Lymphocyte مش ال B و ال T زي ما اتفقنا + +178 +00:16:13,660 --> 00:16:16,500 +في عندنا أكتر من نوع من ال T-Lymphocyte في T + +179 +00:16:16,500 --> 00:16:19,880 +-Helpercell في T-Cytotoxic cell T-Helpercell هي + +180 +00:16:19,880 --> 00:16:26,080 +اللي بتمشط أيضا T-Cytotoxic وغيرها من الخلايا وهي + +181 +00:16:26,080 --> 00:16:29,820 +ال lymphocyte زي ما اتفقنا في عندنا أكتر من نوع في + +182 +00:16:29,820 --> 00:16:36,200 +عندناخلايا مختلفة كل خلية على سطحها receptor + +183 +00:16:36,200 --> 00:16:40,860 +specific only for one antigen عشان يك كل خلية + +184 +00:16:40,860 --> 00:16:45,220 +بتشتغل specific specificity او specific for the + +185 +00:16:45,220 --> 00:16:50,860 +antigen من هذا المنطلق احنا سمينا الانقناع هذه هي + +186 +00:16:50,860 --> 00:16:53,240 +عبارة عن اداء acquired immunity او adaptive + +187 +00:16:53,240 --> 00:16:58,640 +immunity وهي specific immunity بأكتشاف الانفوسايت + +188 +00:16:58,640 --> 00:17:03,850 +كنا بنعرف ان الانفوسايتبتنتج فى البولمارو وهى + +189 +00:17:03,850 --> 00:17:08,730 +عبارة عن B وT لكن الـB بتضل موجودة فى البولمارو + +190 +00:17:08,730 --> 00:17:12,530 +وده يوم بتنتقل فى ال .. من .. فى البولمارو يعنى + +191 +00:17:12,530 --> 00:17:16,410 +بتنضج بتنتقل من ال immature form إلى ال mature + +192 +00:17:16,410 --> 00:17:21,170 +form بعدين بتطلع ال blood circulation وأيضا بتروح + +193 +00:17:21,170 --> 00:17:24,810 +على ال secondary lymphoid organs بينما ال T + +194 +00:17:24,810 --> 00:17:28,270 +lymphocyte فى مرحلة مبكرة جدا بتروح على الthymusو + +195 +00:17:28,270 --> 00:17:32,290 +هناك بتنضج و بعدين بتطلع ال circulation و برضه + +196 +00:17:32,290 --> 00:17:35,290 +بتروح على ال secondary lymphoid organs لأنه + +197 +00:17:35,290 --> 00:17:38,790 +المعركة الحقيقية بتتم في ال secondary lymphoid + +198 +00:17:38,790 --> 00:17:43,690 +organ فده المراحل المختلفة اللي بتمر فيها ال B- + +199 +00:17:43,690 --> 00:17:48,570 +lymphocytes أي من stem cell ل pro-B ثم pre-B ثم + +200 +00:17:48,570 --> 00:17:54,650 +اما mature و matureوالكلام هذا طبعا بيصير في ال + +201 +00:17:54,650 --> 00:17:58,090 +bone marrow اللي هو ال primary ال lymphoid organs + +202 +00:17:58,090 --> 00:18:04,110 +وطبعا ال maturation لل بيه بيتم ايضا في ال + +203 +00:18:04,110 --> 00:18:08,010 +peripheral blood circulation لإنه لما تتمشي تلبي + +204 +00:18:08,010 --> 00:18:12,170 +ال lymphocyte ممكن تتحول إلى plasmacy Clonal + +205 +00:18:12,170 --> 00:18:16,950 +selection theory هي النظرية الحديثة اللي بتقول ان + +206 +00:18:16,950 --> 00:18:19,650 +كل ال stems اللي هي أم الخلايا كلها + +207 +00:18:22,370 --> 00:18:27,430 +بتمر في مراحل طبعا مختلفة لندوج هذه الخلايا أول زي + +208 +00:18:27,430 --> 00:18:30,090 +ما انتوا شايفين ما انتوا شايفين المرحلة هي عبارة + +209 +00:18:30,090 --> 00:18:33,710 +عن uncommented cell ثم في ال .. برضه في ال bone + +210 +00:18:33,710 --> 00:18:38,950 +marrow أو في الthymus هذه الخلايا يصير في removal + +211 +00:18:38,950 --> 00:18:45,230 +لل self reacted cell مرحلة أخرى ثم بتنتج عندى + +212 +00:18:45,230 --> 00:18:49,750 +خلايا جاهزة لا تتفاعل مع ال self-antigen عندها + +213 +00:18:49,750 --> 00:18:53,810 +القدرة أنها تميزما بين الـ self و ال non-self + +214 +00:18:53,810 --> 00:18:57,370 +antigen و زي ما انتوا شايفين هي على سطحها receptor + +215 +00:18:57,370 --> 00:19:03,940 +موجود مختلف باختلاف الخليةهذه بيسموها clone of + +216 +00:19:03,940 --> 00:19:10,240 +selection theory انه الخلية الواحدة ممكن تديني + +217 +00:19:10,240 --> 00:19:14,820 +clone of cell of the same cell ماشي طبعا هذه + +218 +00:19:14,820 --> 00:19:20,020 +الخلية اللي هتديني B cell وT cell sorry و ال B + +219 +00:19:20,020 --> 00:19:23,140 +cell على سطحها ال receptor و فيها انها millions of + +220 +00:19:23,140 --> 00:19:27,560 +B lymphocyteو و و و ال T cell هتدينا برضه على + +221 +00:19:27,560 --> 00:19:33,480 +سطحها receptor وعنا billions of different TCR or T + +222 +00:19:33,480 --> 00:19:40,620 +cell receptor وبالتالي في عندنا diversity of cells + +223 +00:19:40,620 --> 00:19:45,040 +Anatomy of lymphocyte activation ببساطة هي ال B + +224 +00:19:45,040 --> 00:19:48,760 +lymphocyte وT lymphocyte طلعوا من وين؟ طلعوا من ال + +225 +00:19:48,760 --> 00:19:50,920 +bone marrow و الthymus هي bone marrow و الthymus + +226 +00:19:50,920 --> 00:19:54,390 +ماشيقولنا راحوا على ال blood circulation و هناك + +227 +00:19:54,390 --> 00:19:57,290 +بروحوا على ال secondary lymphoid organs هذا هي + +228 +00:19:57,290 --> 00:20:00,930 +طبعا + +229 +00:20:00,930 --> 00:20:03,550 +ال secondary lymphoid organs إذا واجهوا ال antigen + +230 +00:20:03,550 --> 00:20:08,310 +بسيار المعركة immune response ماوجهوش antigen they + +231 +00:20:08,310 --> 00:20:11,630 +will die طب كيف بيخشوا ال antigen كانوا بيخشوا ال + +232 +00:20:11,630 --> 00:20:16,570 +antigen خلال عدة طرق أهمها through the blood ماشي + +233 +00:20:16,570 --> 00:20:19,610 +هذا هو ال blood بروح على ال spleen و ال spleen هذا + +234 +00:20:19,610 --> 00:20:23,610 +و خلال ال secondary lymphoid organsأو through the + +235 +00:20:23,610 --> 00:20:28,210 +lymph duct هو اللي من خلال ال lymph وهو بيخش على + +236 +00:20:28,210 --> 00:20:32,330 +ال lymph nodes وهناك برضه بيصير فيه immune + +237 +00:20:32,330 --> 00:20:36,510 +response طبعا محصلة هذا الكلام بقى جامعة الخير انه + +238 +00:20:36,510 --> 00:20:39,970 +بيطلع لي Factor T lymphocyte immune competent + +239 +00:20:39,970 --> 00:20:46,810 +lymphocytes اللي ممكن اكتف وممارس اكتف cell وممارس + +240 +00:20:46,810 --> 00:20:55,070 +cell اد ال function ofT lymphocyte substance طبعا + +241 +00:20:55,070 --> 00:21:01,590 +اول وظيفة انه ترليز cytokine و الحاجة التانية + +242 +00:21:01,590 --> 00:21:05,230 +بتلعب دور كبير طبعا ال cytokine او ال lymphocyte + +243 +00:21:05,230 --> 00:21:14,830 +هذي بتنشط ال B lymphocytes و نمر اتنين ممكن ممكن + +244 +00:21:14,830 --> 00:21:15,430 +اش اسمه + +245 +00:21:19,780 --> 00:21:26,020 +ممكن تطلع cytokine اللى بتنشط لـmacrophage يبقى + +246 +00:21:26,020 --> 00:21:29,380 +أول واحدة مشتطة بالإنفسايد تطلعتلى antibody تانى + +247 +00:21:29,380 --> 00:21:33,580 +حاجة طلعتلى cytokine عملت تنشيط لـmacrophage + +248 +00:21:33,580 --> 00:21:36,480 +ومقرفاج بتعمل حاجة بيسموها delayed type + +249 +00:21:36,480 --> 00:21:44,300 +Iversensitivity ناشي اشي + +250 +00:21:44,300 --> 00:21:50,660 +التالتCytotoxic effect برضه برضه by reactivation + +251 +00:21:50,660 --> 00:21:54,880 +of CD8 T-cytotoxic lymphocyte اللي عندها القدرة + +252 +00:21:54,880 --> 00:21:59,420 +على قتل اللي هو الخلايا و 4 Regulatory effect اللي + +253 +00:21:59,420 --> 00:22:02,480 +هو عندها القدرة أنها تعمل طبعا في عندها different + +254 +00:22:02,480 --> 00:22:06,120 +functional subset of T cell اللي ممكن تعمل + +255 +00:22:06,120 --> 00:22:08,680 +regulation لل immune response و في عندنا أنواع + +256 +00:22:08,680 --> 00:22:11,480 +مختلفة زي T البر واحدة و تانية و واحدة متناشرة + +257 +00:22:15,650 --> 00:22:19,070 +وبتعمل suppression للتانية وبالتالي في جميل أحوال + +258 +00:22:19,070 --> 00:22:22,570 +بيقولوا أنها نوع واحد من ال T cell أو T البرسيل + +259 +00:22:22,570 --> 00:22:26,890 +ناشينة في نوع تالت أو T ring بيسموه هو أيضا عبارة + +260 +00:22:26,890 --> 00:22:31,770 +عن suppressor T lymphocytes على سطحها هي CD4 لكن + +261 +00:22:31,770 --> 00:22:37,650 +تتميز بوجود CD25 على سطحها أيضا موجودة + +262 +00:22:40,850 --> 00:22:43,610 +الـ cytokine effect طبعا ال cytokine بلعب دور كتير + +263 +00:22:43,610 --> 00:22:47,490 +جدا في عملية تنشيط الخلايا و كنا بنعرف عشان تتمشط + +264 +00:22:47,490 --> 00:22:51,870 +الخلايا لازم تمر بيه لازم تحتاج ل two signal و + +265 +00:22:51,870 --> 00:22:55,610 +الأساس في ال two signal هو ال cytokine أول signal + +266 +00:22:55,610 --> 00:22:59,030 +هي عبارة عن ارتباط TCR من الانتجن و التاني signal + +267 +00:22:59,030 --> 00:23:03,130 +اللي من خلال وجود ال cytokine بيصير فيه حاجة اسمها + +268 +00:23:03,130 --> 00:23:06,850 +co-stimulatory reactionوال co-stimulation بيتمثل + +269 +00:23:06,850 --> 00:23:12,530 +بارتباط CD40 مع CD86 في وجود IL-1 و IL-4 و IL-6 + +270 +00:23:12,530 --> 00:23:16,690 +متى ما صار هذا الارتباط بهذه القوة بيصير فيه تنشيط + +271 +00:23:16,690 --> 00:23:20,330 +للخلايا وبالتالي بيصير فيه release of certain + +272 +00:23:20,330 --> 00:23:24,270 +cytokine sorry بيصير فيه activation of certain + +273 +00:23:24,270 --> 00:23:29,130 +cell من الخلية النشطة generation of diversity in + +274 +00:23:29,130 --> 00:23:36,060 +the immune response طبعامية فى المية اللى مسئول عن + +275 +00:23:36,060 --> 00:23:40,960 +ال diversity جينات + +276 +00:23:40,960 --> 00:23:46,900 +مختلفة لأنه تخيلوا احنا فى عندنا B lymphocyte وكل + +277 +00:23:46,900 --> 00:23:55,000 +B lymphocyte على سطحها عشر قوة سبعة من ال .. من + +278 +00:23:55,000 --> 00:23:56,940 +ال .. من ال receptors + +279 +00:23:59,940 --> 00:24:04,360 +وفي عندنا عددها مهول من الـ B-Lymphocyte وعدد مهول + +280 +00:24:04,360 --> 00:24:07,220 +من الـ T-Lymphocyte وقولنا كل واحدة منهم specific + +281 +00:24:07,220 --> 00:24:11,980 +only for one antigen وبالتالي الـ TCL على سطحها و + +282 +00:24:11,980 --> 00:24:16,980 +TCL على سطحهم بيختلفون كل منهم specific for only + +283 +00:24:16,980 --> 00:24:20,780 +one antigen طيب، بما أن هذه البروتينات المسؤولة + +284 +00:24:20,780 --> 00:24:25,840 +عنها جينات يبقى و بما أنهم مختلفين يبقى المفروض في + +285 +00:24:25,840 --> 00:24:29,540 +عندنا عدد مهول جدا من الجيناتإذا عرفنا إن عدد الـ + +286 +00:24:29,540 --> 00:24:34,000 +P-Lymphocyte من قواصة لـ 10 لقوة 7 و 10 و T + +287 +00:24:34,000 --> 00:24:38,500 +-Lymphocyte كذلك، منتجدنا at least 10 للقوة 7 جين + +288 +00:24:38,500 --> 00:24:41,920 +يكونوا مسؤولين عن تصنيع هذه الخلايا، لكن مش هذا + +289 +00:24:41,920 --> 00:24:45,040 +اللي بيصير، طب شو اللي بيصير؟ جاله بيصير فيه + +290 +00:24:45,040 --> 00:24:49,140 +Recombination between gene، وبالتالي بيصير فينا + +291 +00:24:49,140 --> 00:24:52,660 +modest amount of DNA، كيمية صغيرة من الـ DNA، + +292 +00:24:52,660 --> 00:24:58,050 +لكنها مرتبطة مع بعض، ومتاهةعاونة مع بعض عشان تكون + +293 +00:24:58,050 --> 00:25:04,990 +ليه different types of of PCR و TCR benefit of + +294 +00:25:04,990 --> 00:25:09,550 +immunology كتير استفدنا منها منها ال vaccination + +295 +00:25:09,550 --> 00:25:14,110 +program زي البوليو و small box و اخلاف و + +296 +00:25:14,110 --> 00:25:18,970 +transplantation ثم detection of and management of + +297 +00:25:18,970 --> 00:25:23,740 +cancer tumor immunologythe prevention and recovery + +298 +00:25:23,740 --> 00:25:30,660 +from infectious disease طبعا ان انها inflammatory + +299 +00:25:30,660 --> 00:25:36,840 +response usually protects the host recent advances + +300 +00:25:36,840 --> 00:25:40,260 +hold the promise of immunoprophylaxis against + +301 +00:25:40,260 --> 00:25:45,980 +malaria and other نخلص منها طبعا vaccination of + +302 +00:25:45,980 --> 00:25:53,380 +domestic animal عشان ما تكونش مصدرللعدوى ثم long + +303 +00:25:53,380 --> 00:25:57,620 +term contraception by vaccination اللي بتعمل عملية + +304 +00:25:57,620 --> 00:26:03,080 +تعقيم بواسطة certain vaccine اللي بتعمل + +305 +00:26:03,080 --> 00:26:07,280 +suppression for certain reproductive process + +306 +00:26:07,280 --> 00:26:15,320 +future early future يعني بيفكروا انهم يدرسوا + +307 +00:26:15,320 --> 00:26:20,180 +استخدام ال pathogen specific proteinمن خلال ال DNA + +308 +00:26:20,180 --> 00:26:24,840 +Sequencing من خلال ال bioformatic bioinformatic + +309 +00:26:24,840 --> 00:26:30,280 +ممكن يحددوا اللي هو ال immunogenic peptide و + +310 +00:26:30,280 --> 00:26:37,180 +يستخدموها ك vaccine DNA vaccine by injection of + +311 +00:26:37,180 --> 00:26:44,340 +DNA vector that encode immunization استخدام او + +312 +00:26:44,340 --> 00:26:49,830 +تصميم certain cytokine اللي ممكن اما تحفظه اماتحبط + +313 +00:26:49,830 --> 00:26:57,910 +ثم ايضا استخدام ال knockout process او knockout + +314 +00:26:57,910 --> 00:27:02,670 +cell او knockout animals عشان نتعرف على وظيفة + +315 +00:27:02,670 --> 00:27:11,150 +certain trait سواء كان موجود او غايب في animal و + +316 +00:27:11,150 --> 00:27:14,830 +ألف شكرياتكم والعافية + diff --git a/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/zGPx39SDnxE_raw.srt b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/zGPx39SDnxE_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..5db22359a5c428f260814a399da3792932def03d --- /dev/null +++ b/PL9fwy3NUQKwYQ8nzyth9nyErvTJtUFKlo/zGPx39SDnxE_raw.srt @@ -0,0 +1,1264 @@ +1 +00:00:03,950 --> 00:00:08,970 +بسم الله الرحمن الرحيم والصلاة والسلام على سيد + +2 +00:00:08,970 --> 00:00:15,270 +الخلق أجمعين سيدنا ونبينا محمد الصادق الأمين بداية + +3 +00:00:15,270 --> 00:00:22,310 +نرحب بكم جميعا في هذا المساق وإن شاء الله بيكون + +4 +00:00:22,310 --> 00:00:26,770 +مساق دم خفيف علينا وعليكم بإذن الله في الظروف من + +5 +00:00:26,770 --> 00:00:31,830 +هذه النوع التي ندعو الله أن لا تطول علينا + +6 +00:00:36,570 --> 00:00:41,130 +مثاقنا اللى ان شاء الله بناحكى فيه هو مناعة و + +7 +00:00:41,130 --> 00:00:46,670 +المناعة ان شاء الله يبى .. يعني انتوا أكيد كلكم + +8 +00:00:46,670 --> 00:00:52,190 +ماخدين مناعة قبل هيك ف .. هنتطرق ان شاء الله + +9 +00:00:52,190 --> 00:00:56,170 +لمواضيع بنفس المسميات اللى مرت عليكوا في المناعة + +10 +00:00:56,170 --> 00:01:01,910 +السابقة لكن بنوع + +11 +00:01:01,910 --> 00:01:08,920 +من التفصيل أكترالمساق هيكون عبارة عن محاضرات + +12 +00:01:08,920 --> 00:01:17,340 +powerpoint و هقوم ان شاء الله بشرحها بشيء ملخص لان + +13 +00:01:17,340 --> 00:01:21,300 +المحاضرات هتكون طويلة فانا هعطيكوا ال summary تبع + +14 +00:01:21,300 --> 00:01:26,440 +ال course لان اصلا بقدرش يعني المدة مدة المحاضرة + +15 +00:01:26,440 --> 00:01:33,280 +المصورة عندي محدودة و مطلوب منكوا طبعا قراية هذه + +16 +00:01:33,280 --> 00:01:38,330 +المحاضرةو ما بين كل محاضرتين تلاتة ممكن نعملنا + +17 +00:01:38,330 --> 00:01:43,970 +لقاء مفتوح نراجع فيه إذا في أي نقطة مش مفهومة أو + +18 +00:01:43,970 --> 00:01:53,050 +إذا في سؤال مش مفهوم هذه حاجة الحاجة التانية إحنا + +19 +00:01:53,050 --> 00:01:57,850 +معانا أربع تاشر أسبوع منهم أسبوع أو أسبوعين + +20 +00:01:57,850 --> 00:02:03,870 +للامتحان النصفي و ال finalبيضل عندنا 12 أسبوع + +21 +00:02:03,870 --> 00:02:09,850 +فهيكون عندنا تقريبا 12 محاضرة وبالتالي + +22 +00:02:09,850 --> 00:02:13,750 +مش راح نقدر نغطي كل المواضيع المهمة في المناقة + +23 +00:02:13,750 --> 00:02:24,550 +فبالتالي هيكون في جزء seminar مطلوب منك أنت كطالب + +24 +00:02:24,550 --> 00:02:35,220 +تحضرلنا محاضرة في موضوعلم نتطرق اليه مناعي طبعا او + +25 +00:02:35,220 --> 00:02:42,920 +نقوم بعمل يعني مادة إسرائية اللي هو تجيد او تضيف + +26 +00:02:42,920 --> 00:02:50,300 +في محاضرة معينة نقاط لم نتطرق اليها من بعد هنتفق + +27 +00:02:50,300 --> 00:02:55,520 +ان شاء الله على هذا الموضوع ونوزعلكوا هذه العناوين + +28 +00:02:55,520 --> 00:03:04,340 +كل على حدال .. زي ما انتوا عارفين نظام الجامعة حدد + +29 +00:03:04,340 --> 00:03:09,700 +انه هيكون فينا نصفي و نهائي النصفي بيتكون من عندنا + +30 +00:03:09,700 --> 00:03:14,520 +.. هيكون عندي 40 درجة هنقسمهم + +31 +00:03:14,520 --> 00:03:22,540 +إلى عشرين seminar اللي أنا قاعد بحكي عليه و عشرين + +32 +00:03:22,540 --> 00:03:26,600 +امتحان نصفي و هيكون فيه ستين درجة على ال final + +33 +00:03:26,600 --> 00:03:33,250 +اللي غالبا هيكون في الجامعة غالباهيكون في الجامعة + +34 +00:03:33,250 --> 00:03:38,990 +فبالتالي ال course مقسم كالقاتي عشرين درجة seminar + +35 +00:03:38,990 --> 00:03:43,630 +عشرين درجة نصفي وان كنت انا شايفها قليلة شوية و + +36 +00:03:43,630 --> 00:03:49,130 +ستين درجة اللي هو النهائي احنا ممكن نخل ال نصفي + +37 +00:03:49,130 --> 00:03:53,750 +تلاتين وعشرين seminar هي خمسين وخمسين نصفي بيكون + +38 +00:03:53,750 --> 00:04:01,450 +افضل من هذه التقسيمة زين يا زينان شاء الله خير + +39 +00:04:01,450 --> 00:04:07,250 +الان المحاضرة الأولى زى ما انتوا شايفين نبدأ على + +40 +00:04:07,250 --> 00:04:10,410 +بركة الله المحاضرة الأولى زى ما انتوا شايفين هى + +41 +00:04:10,410 --> 00:04:15,770 +عبارة عن محاضرة مقدمة وغالبا احنا فى المقدمة بنعمل + +42 +00:04:15,770 --> 00:04:21,750 +refreshing to your memory بنستدعى او بننشر + +43 +00:04:21,750 --> 00:04:26,810 +ذاكرتكوا فى علم المناعة فحنتطرق لبعض المواضع اللى + +44 +00:04:26,810 --> 00:04:29,210 +انا بتأكد انكوا تعرفوها واخدتوها سابقا + +45 +00:04:33,140 --> 00:04:36,920 +اسم المحاضرة introduction يبقى هنعمل introduction + +46 +00:04:36,920 --> 00:04:45,000 +لل course بيهدي المواضيع طبعا المحاضرة + +47 +00:04:45,000 --> 00:04:50,360 +بتبدأ بال course outline انا يعني يديني حتى تنكيها + +48 +00:04:50,360 --> 00:04:55,270 +حتى مستقلمش راح أتطرق إليه بس كم أنتوا شايفين كل + +49 +00:04:55,270 --> 00:04:59,630 +هذه المواضيع صعب جدا أن أتطرق إليها في مساق من هذا + +50 +00:04:59,630 --> 00:05:03,170 +النوع ان شاء الله قدر الممكن هنغطي الجزء الأكبر + +51 +00:05:03,170 --> 00:05:10,690 +جزء التاني هيكون على شكل سيمينارات الحاجة + +52 +00:05:10,690 --> 00:05:12,950 +التانية اللي بدأت فيها المحاضرة اللي هي timeline + +53 +00:05:12,950 --> 00:05:17,710 +of immunology برضه هذه مش راح أنا أتطرق إليها فده + +54 +00:05:17,710 --> 00:05:21,810 +عبارة عن history of immunologyشو التطورات اللى مرت + +55 +00:05:21,810 --> 00:05:30,090 +فيها مادة المناعة و بتواريخها ماشي برضه فقط للعلم + +56 +00:05:30,090 --> 00:05:37,730 +علشان ايش نعرف احنا لوين وصلين من ناحية عالمية + +57 +00:05:37,730 --> 00:05:44,010 +غالبا ان شاء الله بنكون بنعطيكوا مادة يعني up to + +58 +00:05:44,010 --> 00:05:48,910 +date information في المناعة + +59 +00:05:51,020 --> 00:05:56,160 +ال .. اللي + +60 +00:05:56,160 --> 00:06:00,820 +ان شاء الله هيحنبدأ فيه هو ال introduction و ال + +61 +00:06:00,820 --> 00:06:05,180 +introduction بداية هنذكر مع بعض شوية مصطلحات منعية + +62 +00:06:05,180 --> 00:06:08,680 +نمروا احد ال immunology ما هو ال immunology + +63 +00:06:08,680 --> 00:06:12,700 +immunology يعني علم علم المناعة هو عبارة عن دراسة + +64 +00:06:12,700 --> 00:06:20,250 +اللي هو كل خطوط الدفاع المنعيةاللي موجودة في الجسم + +65 +00:06:20,250 --> 00:06:26,710 +عادية للإنفجار دراسة ال immunity هي قدرتك to + +66 +00:06:26,710 --> 00:06:33,050 +resist the disease ال immune system هو بره مجموعة + +67 +00:06:33,050 --> 00:06:39,370 +الأدوات سواء كانت خلايا or tissue or molecules + +68 +00:06:39,370 --> 00:06:47,860 +اللي موجودة و بنسخرها to resist the diseaseال + +69 +00:06:47,860 --> 00:06:52,000 +immune response هو عبارة عن coordinate work يعني + +70 +00:06:52,000 --> 00:06:58,100 +عمل مشترك of the immune response against foreign + +71 +00:06:58,100 --> 00:07:03,540 +substance عبارة عن طوشة عبارة عن معركة موجودة ما + +72 +00:07:03,540 --> 00:07:07,680 +بين الأدوات المناعية اللي انت تحصل اللي عندك و ما + +73 +00:07:07,680 --> 00:07:11,600 +بين ال foreign substance اللي دخلت على الجسمال + +74 +00:07:11,600 --> 00:07:16,480 +Immunity مصطلح آخر يعني ال native or natural + +75 +00:07:16,480 --> 00:07:20,120 +immunity المناعة الطبيعية اللى موجودة عندك ال + +76 +00:07:20,120 --> 00:07:27,060 +adaptive هو المناعة المقتسبة ومثلا + +77 +00:07:27,060 --> 00:07:33,300 +عليها adaptation to infection ال antigen هو أي + +78 +00:07:33,300 --> 00:07:37,300 +مادة غريبة عندها القدرة دخلة الجسم و عندها القدرة + +79 +00:07:37,300 --> 00:07:41,330 +انها ترتبط ب antibody ممكنالانتيجن يكون ميكروب، + +80 +00:07:41,330 --> 00:07:42,030 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +81 +00:07:42,030 --> 00:07:42,830 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +82 +00:07:42,830 --> 00:07:46,170 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +83 +00:07:46,170 --> 00:07:51,030 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +84 +00:07:51,030 --> 00:07:51,090 +مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد مجرد + +85 +00:07:51,090 --> 00:08:01,410 +مجرد مجرد + +86 +00:08:01,410 --> 00:08:08,070 +مجر + +87 +00:08:10,420 --> 00:08:16,920 +الـ Antigen Presentation هي عملية تحضير وتقديم للـ + +88 +00:08:16,920 --> 00:08:22,720 +Antigen من خلال تقطيعه إلى Peptide Fragments + +89 +00:08:22,720 --> 00:08:27,280 +موجودة على سطح خلية سنسميها Antigen Presenting + +90 +00:08:27,280 --> 00:08:35,080 +Cell اللي بتقدم الـ Antigen للخلايا المنهيةعبارة + +91 +00:08:35,080 --> 00:08:38,120 +عن مادة ممكن تكون كيلو بكتيريا or bacterial + +92 +00:08:38,120 --> 00:08:45,220 +extracts بنسخرها للمساعدة ك non immunogenic agent + +93 +00:08:45,220 --> 00:08:52,800 +or antigen لتحفيز ال immune response ناشي immunity + +94 +00:08:53,860 --> 00:08:58,340 +زي ما اتفقنا هو برنامج term derived يعني الاسم + +95 +00:08:58,340 --> 00:09:03,460 +تاريخ الاسم من وين جاي جاي من الحصانة الديوماسية + +96 +00:09:03,460 --> 00:09:10,080 +اللي كانت تُعطى لال senators زمان في يما الرومان + +97 +00:09:10,080 --> 00:09:16,640 +ضد أي مساءلة قانونية و بعرفوها بإن هي كل + +98 +00:09:16,640 --> 00:09:22,120 +الميكانيزمات تومرت عليها اللي بتستخدم من قبل الجسم + +99 +00:09:23,680 --> 00:09:28,700 +لحمايته against environmental agents or foreign + +100 +00:09:28,700 --> 00:09:36,140 +substance وزي ما انتوا شايفين الصور بتعبر + +101 +00:09:36,140 --> 00:09:41,880 +عن ال foreign substance المختلفة طبعا ممكن تكون + +102 +00:09:41,880 --> 00:09:45,220 +food, chemicals, drugs, pollen, animal hair or + +103 +00:09:45,220 --> 00:09:50,820 +dander you name it تقسم المناع لنوعين ال innate و + +104 +00:09:50,820 --> 00:09:55,460 +acquired و ال innateهذه خصائصها و لأكمل ال exam + +105 +00:09:55,460 --> 00:10:04,580 +فهذه خصائطها طبعا لإن it is not specific it is + +106 +00:10:04,580 --> 00:10:13,840 +limited لإنه year online encoded and there is no + +107 +00:10:13,840 --> 00:10:20,440 +memory و no reactivity to self ماشي + +108 +00:10:23,500 --> 00:10:27,860 +يعني non-reactive بينما ال adaptive هي عبارة عن + +109 +00:10:27,860 --> 00:10:34,240 +specific و very large receptors that are produced + +110 +00:10:34,240 --> 00:10:42,500 +by somatic recombination في memory و في ايضا + +111 +00:10:42,500 --> 00:10:48,800 +discrimination لل self-antigenالكمبونات على الطرق + +112 +00:10:48,800 --> 00:10:52,380 +ديها ان شاء الله كل على حد اسوان كانت cellular or + +113 +00:10:52,380 --> 00:10:55,460 +blood protein or cells تبعت ال innate و ال + +114 +00:10:55,460 --> 00:10:59,700 +adaptive و دي صورة بتوضح ان ال الاتي بتوضح ان ال + +115 +00:10:59,700 --> 00:11:04,360 +innate cells ده هي النفاق و ساعي، dendritic cells، + +116 +00:11:04,360 --> 00:11:09,000 +angiocelcus و بعض ال elements زي ال antibody و ال + +117 +00:11:09,000 --> 00:11:12,860 +.. و ال .. و ال .. sorry يعني compliment و ليس + +118 +00:11:12,860 --> 00:11:18,460 +antibody ماشي ثم ال adaptiveواللي بتتمثل بال B وT + +119 +00:11:18,460 --> 00:11:23,300 +lymphocyte B وT lymphocyte وانا طبعا ال kinetics + +120 +00:11:23,300 --> 00:11:27,320 +زي ما انتوا شايفين أول ما بده يدافع خط الدفاع + +121 +00:11:27,320 --> 00:11:35,560 +الأول هو ال innate في أول اتناشر ساعة ثم بتبدأ ال + +122 +00:11:35,560 --> 00:11:39,920 +adaptive إذا فشلت طبعا بال innateتبدأ ال adaptive + +123 +00:11:39,920 --> 00:11:48,140 +من يوم لغاية سبعة أيام بتحضير أو بتوشة تبعتها واما + +124 +00:11:48,140 --> 00:11:51,860 +بتخلص ال antigen واما بتستمر هي ال immunity + +125 +00:11:51,860 --> 00:11:56,020 +بأنواعها المختلفة مقسموها إلى تلت أنواع اللي + +126 +00:11:56,020 --> 00:11:59,020 +اتحاكوا بيها بس ال immunity ده اذا ما تشوفون + +127 +00:11:59,020 --> 00:12:00,680 +adaptive immunity و innate immunity + +128 +00:12:08,210 --> 00:12:14,810 +naturally في الجسم ال adaptive قسموها إلى نوعين و + +129 +00:12:14,810 --> 00:12:18,470 +جالو منها natural وهذا ممكن يكون passive من الأم + +130 +00:12:18,470 --> 00:12:23,070 +للطفل or active اذا واحد صاب بال infection و ال + +131 +00:12:23,070 --> 00:12:26,770 +artificial ايضا ممكن تكون passive ان انا انقل + +132 +00:12:26,770 --> 00:12:34,380 +antibody او during by using immunizationفي نوع + +133 +00:12:34,380 --> 00:12:38,180 +تالت اللي هو ال adoptive ال adoptives هو عبارة عن + +134 +00:12:38,180 --> 00:12:41,600 +نقل passive برضه بس بانقل بدل من انقل antibody + +135 +00:12:41,600 --> 00:12:47,600 +بانقل خلايا بانقلياش خلايا cells involved in + +136 +00:12:47,600 --> 00:12:53,320 +acquired immunity فلنشوف طبعا اتفقنا ان هي عبارة + +137 +00:12:53,320 --> 00:12:59,260 +عن lymphocytes و هي عبارة عن T cell و B cell و + +138 +00:12:59,260 --> 00:13:06,140 +التنتين عندهم R specific for the antigenووظيفتها + +139 +00:13:06,140 --> 00:13:10,880 +الأساسية is to recognize and react ماشي against + +140 +00:13:10,880 --> 00:13:15,440 +the antigen نوع التالت اللي هو Antigen Presenting + +141 +00:13:15,440 --> 00:13:21,360 +Cell وهي عبارة عن خلايا بتحمل على سطحها بروتينات + +142 +00:13:21,360 --> 00:13:29,220 +ترتبط بالانتيجن و بتقدمولها الـ T lymphocyte من + +143 +00:13:29,220 --> 00:13:34,550 +اسمها Antigen Presenting Cellووجدوا أن ال protein + +144 +00:13:34,550 --> 00:13:41,330 +اللي على سطحها نوعين هنتطرق إليهم إن شاء الله هو + +145 +00:13:41,330 --> 00:13:48,510 +ال MHC molecule و هنتطرق إليه إن شاء الله قدامه بس + +146 +00:13:48,510 --> 00:13:53,270 +خلينا نتذكركوا بال classes of lymphocytes طبعا في + +147 +00:13:53,270 --> 00:13:55,450 +أنها أكتر من نوع من ال lymphocyte في أنها B + +148 +00:13:55,450 --> 00:14:00,530 +lymphocyteوظيفتها الأساسية is to fight against + +149 +00:14:00,530 --> 00:14:07,730 +micro و بيصير في external micro فبيصير في antigen + +150 +00:14:07,730 --> 00:14:11,230 +و antimode reaction و بيصير في neutralization و + +151 +00:14:11,230 --> 00:14:17,590 +phagocyte و كذا ال T cell في عندنا T helper cell + +152 +00:14:17,590 --> 00:14:21,590 +وظيفتها is to release the cytokine بعد ما يتعرض لل + +153 +00:14:21,590 --> 00:14:27,620 +antigen و هي طبعا هي بتوزع المهامإلى أكتر من نوع + +154 +00:14:27,620 --> 00:14:32,100 +من الخلايا ممكن تنشر بيه ممكن تنشر T-cell T + +155 +00:14:32,100 --> 00:14:36,720 +-cytotoxic cell ال cytotoxic T-lymphocyte عندها + +156 +00:14:36,720 --> 00:14:39,600 +القدرة على قتل الميكروب أو الخلية المصابة + +157 +00:14:39,600 --> 00:14:47,220 +بالميكروب by direct killing ثاني هو T-ring أو + +158 +00:14:47,220 --> 00:14:51,280 +regulatory T-lymphocytes هذه بتعمل control of the + +159 +00:14:51,280 --> 00:14:53,580 +immune response by suppression of the immune + +160 +00:14:53,580 --> 00:14:59,110 +responseوفيها خلية أخرى وهي الـ NK cell وهذه طبعا + +161 +00:14:59,110 --> 00:15:04,350 +عندها القدرة أن تعمل قتل مباشر لمن؟ للخلية المصابة + +162 +00:15:04,350 --> 00:15:10,050 +بالmyocardite وهذه ال info site classes من مرجع + +163 +00:15:10,050 --> 00:15:16,150 +آخر زي ما قلتلكوا في two proteins موجودة على ال + +164 +00:15:16,150 --> 00:15:19,390 +antigen presenting cell وكل خلاية الجسم يعمل على + +165 +00:15:19,390 --> 00:15:23,410 +antigen presenting cellسمينا البروتينة دا major + +166 +00:15:23,410 --> 00:15:26,070 +histocompatibility complex وفي من النوعين واحد + +167 +00:15:26,070 --> 00:15:29,930 +واثنين class 1 و class 2 وزي ما انتوا شايفين من + +168 +00:15:29,930 --> 00:15:32,850 +الصورة الفرق الوحيد انه في class واحد في one + +169 +00:15:32,850 --> 00:15:37,850 +binding site بينما في class اتنين في two chain او + +170 +00:15:37,850 --> 00:15:40,270 +polyp ابتعاد + +171 +00:15:47,140 --> 00:15:53,180 +الـ Hemoral تتمثل بال B lymphocyte function و كلنا + +172 +00:15:53,180 --> 00:15:55,680 +بنعرف أن ال B lymphocyte بتطلع لنا antibody فال + +173 +00:15:55,680 --> 00:15:59,860 +antibody هو عبارة عن ال hemoral part of immunity + +174 +00:15:59,860 --> 00:16:03,080 +أو acquired immunityبينما ال cell-mediated + +175 +00:16:03,080 --> 00:16:06,620 +immunity هي عبارة عن ال من Cellular هذا يعني + +176 +00:16:06,620 --> 00:16:09,680 +Cellular Cell-mediated يعني خلايا بدون اللي بتقوم + +177 +00:16:09,680 --> 00:16:13,660 +فيها ال T-Lymphocyte مش ال B و ال T زي ما اتفقنا + +178 +00:16:13,660 --> 00:16:16,500 +في عندنا أكتر من نوع من ال T-Lymphocyte في T + +179 +00:16:16,500 --> 00:16:19,880 +-Helpercell في T-Cytotoxic cell T-Helpercell هي + +180 +00:16:19,880 --> 00:16:26,080 +اللي بتمشط أيضا T-Cytotoxic وغيرها من الخلايا وهي + +181 +00:16:26,080 --> 00:16:29,820 +ال lymphocyte زي ما اتفقنا في عندنا أكتر من نوع في + +182 +00:16:29,820 --> 00:16:36,200 +عندناخلايا مختلفة كل خلية على سطحها receptor + +183 +00:16:36,200 --> 00:16:40,860 +specific only for one antigen عشان يك كل خلية + +184 +00:16:40,860 --> 00:16:45,220 +بتشتغل specific specificity او specific for the + +185 +00:16:45,220 --> 00:16:50,860 +antigen من هذا المنطلق احنا سمينا الانقناع هذه هي + +186 +00:16:50,860 --> 00:16:53,240 +عبارة عن اداء acquired immunity او adaptive + +187 +00:16:53,240 --> 00:16:58,640 +immunity وهي specific immunity بأكتشاف الانفوسايت + +188 +00:16:58,640 --> 00:17:03,850 +كنا بنعرف ان الانفوسايتبتنتج فى البولمارو وهى + +189 +00:17:03,850 --> 00:17:08,730 +عبارة عن B وT لكن الـB بتضل موجودة فى البولمارو + +190 +00:17:08,730 --> 00:17:12,530 +وده يوم بتنتقل فى ال .. من .. فى البولمارو يعنى + +191 +00:17:12,530 --> 00:17:16,410 +بتنضج بتنتقل من ال immature form إلى ال mature + +192 +00:17:16,410 --> 00:17:21,170 +form بعدين بتطلع ال blood circulation وأيضا بتروح + +193 +00:17:21,170 --> 00:17:24,810 +على ال secondary lymphoid organs بينما ال T + +194 +00:17:24,810 --> 00:17:28,270 +lymphocyte فى مرحلة مبكرة جدا بتروح على الthymusو + +195 +00:17:28,270 --> 00:17:32,290 +هناك بتنضج و بعدين بتطلع ال circulation و برضه + +196 +00:17:32,290 --> 00:17:35,290 +بتروح على ال secondary lymphoid organs لأنه + +197 +00:17:35,290 --> 00:17:38,790 +المعركة الحقيقية بتتم في ال secondary lymphoid + +198 +00:17:38,790 --> 00:17:43,690 +organ فده المراحل المختلفة اللي بتمر فيها ال B- + +199 +00:17:43,690 --> 00:17:48,570 +lymphocytes أي من stem cell ل pro-B ثم pre-B ثم + +200 +00:17:48,570 --> 00:17:54,650 +اما mature و matureوالكلام هذا طبعا بيصير في ال + +201 +00:17:54,650 --> 00:17:58,090 +bone marrow اللي هو ال primary ال lymphoid organs + +202 +00:17:58,090 --> 00:18:04,110 +وطبعا ال maturation لل بيه بيتم ايضا في ال + +203 +00:18:04,110 --> 00:18:08,010 +peripheral blood circulation لإنه لما تتمشي تلبي + +204 +00:18:08,010 --> 00:18:12,170 +ال lymphocyte ممكن تتحول إلى plasmacy Clonal + +205 +00:18:12,170 --> 00:18:16,950 +selection theory هي النظرية الحديثة اللي بتقول ان + +206 +00:18:16,950 --> 00:18:19,650 +كل ال stems اللي هي أم الخلايا كلها + +207 +00:18:22,370 --> 00:18:27,430 +بتمر في مراحل طبعا مختلفة لندوج هذه الخلايا أول زي + +208 +00:18:27,430 --> 00:18:30,090 +ما انتوا شايفين ما انتوا شايفين المرحلة هي عبارة + +209 +00:18:30,090 --> 00:18:33,710 +عن uncommented cell ثم في ال .. برضه في ال bone + +210 +00:18:33,710 --> 00:18:38,950 +marrow أو في الthymus هذه الخلايا يصير في removal + +211 +00:18:38,950 --> 00:18:45,230 +لل self reacted cell مرحلة أخرى ثم بتنتج عندى + +212 +00:18:45,230 --> 00:18:49,750 +خلايا جاهزة لا تتفاعل مع ال self-antigen عندها + +213 +00:18:49,750 --> 00:18:53,810 +القدرة أنها تميزما بين الـ self و ال non-self + +214 +00:18:53,810 --> 00:18:57,370 +antigen و زي ما انتوا شايفين هي على سطحها receptor + +215 +00:18:57,370 --> 00:19:03,940 +موجود مختلف باختلاف الخليةهذه بيسموها clone of + +216 +00:19:03,940 --> 00:19:10,240 +selection theory انه الخلية الواحدة ممكن تديني + +217 +00:19:10,240 --> 00:19:14,820 +clone of cell of the same cell ماشي طبعا هذه + +218 +00:19:14,820 --> 00:19:20,020 +الخلية اللي هتديني B cell وT cell sorry و ال B + +219 +00:19:20,020 --> 00:19:23,140 +cell على سطحها ال receptor و فيها انها millions of + +220 +00:19:23,140 --> 00:19:27,560 +B lymphocyteو و و و ال T cell هتدينا برضه على + +221 +00:19:27,560 --> 00:19:33,480 +سطحها receptor وعنا billions of different TCR or T + +222 +00:19:33,480 --> 00:19:40,620 +cell receptor وبالتالي في عندنا diversity of cells + +223 +00:19:40,620 --> 00:19:45,040 +Anatomy of lymphocyte activation ببساطة هي ال B + +224 +00:19:45,040 --> 00:19:48,760 +lymphocyte وT lymphocyte طلعوا من وين؟ طلعوا من ال + +225 +00:19:48,760 --> 00:19:50,920 +bone marrow و الthymus هي bone marrow و الthymus + +226 +00:19:50,920 --> 00:19:54,390 +ماشيقولنا راحوا على ال blood circulation و هناك + +227 +00:19:54,390 --> 00:19:57,290 +بروحوا على ال secondary lymphoid organs هذا هي + +228 +00:19:57,290 --> 00:20:00,930 +طبعا + +229 +00:20:00,930 --> 00:20:03,550 +ال secondary lymphoid organs إذا واجهوا ال antigen + +230 +00:20:03,550 --> 00:20:08,310 +بسيار المعركة immune response ماوجهوش antigen they + +231 +00:20:08,310 --> 00:20:11,630 +will die طب كيف بيخشوا ال antigen كانوا بيخشوا ال + +232 +00:20:11,630 --> 00:20:16,570 +antigen خلال عدة طرق أهمها through the blood ماشي + +233 +00:20:16,570 --> 00:20:19,610 +هذا هو ال blood بروح على ال spleen و ال spleen هذا + +234 +00:20:19,610 --> 00:20:23,610 +و خلال ال secondary lymphoid organsأو through the + +235 +00:20:23,610 --> 00:20:28,210 +lymph duct هو اللي من خلال ال lymph وهو بيخش على + +236 +00:20:28,210 --> 00:20:32,330 +ال lymph nodes وهناك برضه بيصير فيه immune + +237 +00:20:32,330 --> 00:20:36,510 +response طبعا محصلة هذا الكلام بقى جامعة الخير انه + +238 +00:20:36,510 --> 00:20:39,970 +بيطلع لي Factor T lymphocyte immune competent + +239 +00:20:39,970 --> 00:20:46,810 +lymphocytes اللي ممكن اكتف وممارس اكتف cell وممارس + +240 +00:20:46,810 --> 00:20:55,070 +cell اد ال function ofT lymphocyte substance طبعا + +241 +00:20:55,070 --> 00:21:01,590 +اول وظيفة انه ترليز cytokine و الحاجة التانية + +242 +00:21:01,590 --> 00:21:05,230 +بتلعب دور كبير طبعا ال cytokine او ال lymphocyte + +243 +00:21:05,230 --> 00:21:14,830 +هذي بتنشط ال B lymphocytes و نمر اتنين ممكن ممكن + +244 +00:21:14,830 --> 00:21:15,430 +اش اسمه + +245 +00:21:19,780 --> 00:21:26,020 +ممكن تطلع cytokine اللى بتنشط لـmacrophage يبقى + +246 +00:21:26,020 --> 00:21:29,380 +أول واحدة مشتطة بالإنفسايد تطلعتلى antibody تانى + +247 +00:21:29,380 --> 00:21:33,580 +حاجة طلعتلى cytokine عملت تنشيط لـmacrophage + +248 +00:21:33,580 --> 00:21:36,480 +ومقرفاج بتعمل حاجة بيسموها delayed type + +249 +00:21:36,480 --> 00:21:44,300 +Iversensitivity ناشي اشي + +250 +00:21:44,300 --> 00:21:50,660 +التالتCytotoxic effect برضه برضه by reactivation + +251 +00:21:50,660 --> 00:21:54,880 +of CD8 T-cytotoxic lymphocyte اللي عندها القدرة + +252 +00:21:54,880 --> 00:21:59,420 +على قتل اللي هو الخلايا و 4 Regulatory effect اللي + +253 +00:21:59,420 --> 00:22:02,480 +هو عندها القدرة أنها تعمل طبعا في عندها different + +254 +00:22:02,480 --> 00:22:06,120 +functional subset of T cell اللي ممكن تعمل + +255 +00:22:06,120 --> 00:22:08,680 +regulation لل immune response و في عندنا أنواع + +256 +00:22:08,680 --> 00:22:11,480 +مختلفة زي T البر واحدة و تانية و واحدة متناشرة + +257 +00:22:15,650 --> 00:22:19,070 +وبتعمل suppression للتانية وبالتالي في جميل أحوال + +258 +00:22:19,070 --> 00:22:22,570 +بيقولوا أنها نوع واحد من ال T cell أو T البرسيل + +259 +00:22:22,570 --> 00:22:26,890 +ناشينة في نوع تالت أو T ring بيسموه هو أيضا عبارة + +260 +00:22:26,890 --> 00:22:31,770 +عن suppressor T lymphocytes على سطحها هي CD4 لكن + +261 +00:22:31,770 --> 00:22:37,650 +تتميز بوجود CD25 على سطحها أيضا موجودة + +262 +00:22:40,850 --> 00:22:43,610 +الـ cytokine effect طبعا ال cytokine بلعب دور كتير + +263 +00:22:43,610 --> 00:22:47,490 +جدا في عملية تنشيط الخلايا و كنا بنعرف عشان تتمشط + +264 +00:22:47,490 --> 00:22:51,870 +الخلايا لازم تمر بيه لازم تحتاج ل two signal و + +265 +00:22:51,870 --> 00:22:55,610 +الأساس في ال two signal هو ال cytokine أول signal + +266 +00:22:55,610 --> 00:22:59,030 +هي عبارة عن ارتباط TCR من الانتجن و التاني signal + +267 +00:22:59,030 --> 00:23:03,130 +اللي من خلال وجود ال cytokine بيصير فيه حاجة اسمها + +268 +00:23:03,130 --> 00:23:06,850 +co-stimulatory reactionوال co-stimulation بيتمثل + +269 +00:23:06,850 --> 00:23:12,530 +بارتباط CD40 مع CD86 في وجود IL-1 و IL-4 و IL-6 + +270 +00:23:12,530 --> 00:23:16,690 +متى ما صار هذا الارتباط بهذه القوة بيصير فيه تنشيط + +271 +00:23:16,690 --> 00:23:20,330 +للخلايا وبالتالي بيصير فيه release of certain + +272 +00:23:20,330 --> 00:23:24,270 +cytokine sorry بيصير فيه activation of certain + +273 +00:23:24,270 --> 00:23:29,130 +cell من الخلية النشطة generation of diversity in + +274 +00:23:29,130 --> 00:23:36,060 +the immune response طبعامية فى المية اللى مسئول عن + +275 +00:23:36,060 --> 00:23:40,960 +ال diversity جينات + +276 +00:23:40,960 --> 00:23:46,900 +مختلفة لأنه تخيلوا احنا فى عندنا B lymphocyte وكل + +277 +00:23:46,900 --> 00:23:55,000 +B lymphocyte على سطحها عشر قوة سبعة من ال .. من + +278 +00:23:55,000 --> 00:23:56,940 +ال .. من ال receptors + +279 +00:23:59,940 --> 00:24:04,360 +وفي عندنا عددها مهول من الـ B-Lymphocyte وعدد مهول + +280 +00:24:04,360 --> 00:24:07,220 +من الـ T-Lymphocyte وقولنا كل واحدة منهم specific + +281 +00:24:07,220 --> 00:24:11,980 +only for one antigen وبالتالي الـ TCL على سطحها و + +282 +00:24:11,980 --> 00:24:16,980 +TCL على سطحهم بيختلفون كل منهم specific for only + +283 +00:24:16,980 --> 00:24:20,780 +one antigen طيب، بما أن هذه البروتينات المسؤولة + +284 +00:24:20,780 --> 00:24:25,840 +عنها جينات يبقى و بما أنهم مختلفين يبقى المفروض في + +285 +00:24:25,840 --> 00:24:29,540 +عندنا عدد مهول جدا من الجيناتإذا عرفنا إن عدد الـ + +286 +00:24:29,540 --> 00:24:34,000 +P-Lymphocyte من قواصة لـ 10 لقوة 7 و 10 و T + +287 +00:24:34,000 --> 00:24:38,500 +-Lymphocyte كذلك، منتجدنا at least 10 للقوة 7 جين + +288 +00:24:38,500 --> 00:24:41,920 +يكونوا مسؤولين عن تصنيع هذه الخلايا، لكن مش هذا + +289 +00:24:41,920 --> 00:24:45,040 +اللي بيصير، طب شو اللي بيصير؟ جاله بيصير فيه + +290 +00:24:45,040 --> 00:24:49,140 +Recombination between gene، وبالتالي بيصير فينا + +291 +00:24:49,140 --> 00:24:52,660 +modest amount of DNA، كيمية صغيرة من الـ DNA، + +292 +00:24:52,660 --> 00:24:58,050 +لكنها مرتبطة مع بعض، ومتاهةعاونة مع بعض عشان تكون + +293 +00:24:58,050 --> 00:25:04,990 +ليه different types of of PCR و TCR benefit of + +294 +00:25:04,990 --> 00:25:09,550 +immunology كتير استفدنا منها منها ال vaccination + +295 +00:25:09,550 --> 00:25:14,110 +program زي البوليو و small box و اخلاف و + +296 +00:25:14,110 --> 00:25:18,970 +transplantation ثم detection of and management of + +297 +00:25:18,970 --> 00:25:23,740 +cancer tumor immunologythe prevention and recovery + +298 +00:25:23,740 --> 00:25:30,660 +from infectious disease طبعا ان انها inflammatory + +299 +00:25:30,660 --> 00:25:36,840 +response usually protects the host recent advances + +300 +00:25:36,840 --> 00:25:40,260 +hold the promise of immunoprophylaxis against + +301 +00:25:40,260 --> 00:25:45,980 +malaria and other نخلص منها طبعا vaccination of + +302 +00:25:45,980 --> 00:25:53,380 +domestic animal عشان ما تكونش مصدرللعدوى ثم long + +303 +00:25:53,380 --> 00:25:57,620 +term contraception by vaccination اللي بتعمل عملية + +304 +00:25:57,620 --> 00:26:03,080 +تعقيم بواسطة certain vaccine اللي بتعمل + +305 +00:26:03,080 --> 00:26:07,280 +suppression for certain reproductive process + +306 +00:26:07,280 --> 00:26:15,320 +future early future يعني بيفكروا انهم يدرسوا + +307 +00:26:15,320 --> 00:26:20,180 +استخدام ال pathogen specific proteinمن خلال ال DNA + +308 +00:26:20,180 --> 00:26:24,840 +Sequencing من خلال ال bioformatic bioinformatic + +309 +00:26:24,840 --> 00:26:30,280 +ممكن يحددوا اللي هو ال immunogenic peptide و + +310 +00:26:30,280 --> 00:26:37,180 +يستخدموها ك vaccine DNA vaccine by injection of + +311 +00:26:37,180 --> 00:26:44,340 +DNA vector that encode immunization استخدام او + +312 +00:26:44,340 --> 00:26:49,830 +تصميم certain cytokine اللي ممكن اما تحفظه اماتحبط + +313 +00:26:49,830 --> 00:26:57,910 +ثم ايضا استخدام ال knockout process او knockout + +314 +00:26:57,910 --> 00:27:02,670 +cell او knockout animals عشان نتعرف على وظيفة + +315 +00:27:02,670 --> 00:27:11,150 +certain trait سواء كان موجود او غايب في animal و + +316 +00:27:11,150 --> 00:27:14,830 +ألف شكرياتكم والعافية + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/-VA6U2qwaG0_raw.json b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/-VA6U2qwaG0_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..9a0e8b4450d2e6e8c39c4f9a6e3e7d3ac78311e7 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/-VA6U2qwaG0_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 2382, "start": 9.32, "end": 23.82, "text": " Last time we 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The same for the second sample, n 2 times pi 2 is at least 5, as well as n times 1 minus pi 2 is also at least 5.", "tokens": [297, 1413, 3895, 820, 312, 412, 1935, 1025, 11, 293, 611, 297, 1413, 502, 3175, 3895, 307, 611, 412, 1935, 1025, 13, 440, 912, 337, 264, 1150, 6889, 11, 297, 568, 1413, 3895, 568, 307, 412, 1935, 1025, 11, 382, 731, 382, 297, 1413, 502, 3175, 3895, 568, 307, 611, 412, 1935, 1025, 13], "avg_logprob": -0.1642045481638475, "compression_ratio": 1.7567567567567568, "no_speech_prob": 0.0, "words": [{"start": 25.01, "end": 25.37, "word": " n", "probability": 0.33984375}, {"start": 25.37, "end": 25.75, "word": " times", "probability": 0.7890625}, {"start": 25.75, "end": 25.97, "word": " pi", "probability": 0.58056640625}, {"start": 25.97, "end": 26.19, "word": " should", "probability": 0.955078125}, {"start": 26.19, "end": 26.35, "word": " be", "probability": 0.94970703125}, {"start": 26.35, "end": 26.51, "word": " at", "probability": 0.9580078125}, {"start": 26.51, "end": 26.71, "word": " least", "probability": 0.9521484375}, {"start": 26.71, "end": 27.07, "word": " 5,", "probability": 0.54296875}, {"start": 27.51, "end": 27.73, "word": " and", "probability": 0.9345703125}, {"start": 27.73, "end": 28.01, "word": " also", "probability": 0.8359375}, {"start": 28.01, "end": 28.19, "word": " n", "probability": 0.89208984375}, {"start": 28.19, "end": 28.45, "word": " times", "probability": 0.92919921875}, {"start": 28.45, "end": 28.65, "word": " 1", "probability": 0.90673828125}, {"start": 28.65, "end": 28.91, "word": " minus", "probability": 0.96533203125}, {"start": 28.91, "end": 29.17, "word": " pi", "probability": 0.93994140625}, {"start": 29.17, "end": 29.39, "word": " is", "probability": 0.904296875}, {"start": 29.39, "end": 29.83, "word": " also", "probability": 0.86962890625}, {"start": 29.83, "end": 30.67, "word": " at", "probability": 0.96533203125}, {"start": 30.67, "end": 30.89, "word": " least", "probability": 0.96630859375}, {"start": 30.89, "end": 31.21, "word": " 5.", "probability": 0.9541015625}, {"start": 31.77, "end": 32.15, "word": " The", "probability": 0.87890625}, {"start": 32.15, "end": 32.33, "word": " same", "probability": 0.91015625}, {"start": 32.33, "end": 32.51, "word": " for", "probability": 0.94482421875}, {"start": 32.51, "end": 32.65, "word": " the", "probability": 0.91552734375}, {"start": 32.65, "end": 33.05, "word": " second", "probability": 0.8955078125}, {"start": 33.05, "end": 33.77, "word": " sample,", "probability": 0.5732421875}, {"start": 34.39, "end": 34.57, "word": " n", "probability": 0.94873046875}, {"start": 34.57, "end": 34.67, "word": " 2", "probability": 0.209228515625}, {"start": 34.67, "end": 34.93, "word": " times", "probability": 0.9345703125}, {"start": 34.93, "end": 35.15, "word": " pi", "probability": 0.8828125}, {"start": 35.15, "end": 35.29, "word": " 2", "probability": 0.9140625}, {"start": 35.29, "end": 35.43, "word": " is", "probability": 0.94140625}, {"start": 35.43, "end": 35.55, "word": " at", "probability": 0.95458984375}, {"start": 35.55, "end": 35.75, "word": " least", "probability": 0.96142578125}, {"start": 35.75, "end": 36.09, "word": " 5,", "probability": 0.98046875}, {"start": 36.51, "end": 36.77, "word": " as", "probability": 0.96533203125}, {"start": 36.77, "end": 36.95, "word": " well", "probability": 0.93212890625}, {"start": 36.95, "end": 37.29, "word": " as", "probability": 0.9541015625}, {"start": 37.29, "end": 37.57, "word": " n", "probability": 0.951171875}, {"start": 37.57, "end": 38.17, "word": " times", "probability": 0.9296875}, {"start": 38.17, "end": 38.93, "word": " 1", "probability": 0.974609375}, {"start": 38.93, "end": 39.27, "word": " minus", "probability": 0.986328125}, {"start": 39.27, "end": 39.53, "word": " pi", "probability": 0.93896484375}, {"start": 39.53, "end": 39.69, "word": " 2", "probability": 0.97998046875}, {"start": 39.69, "end": 39.87, "word": " is", "probability": 0.9375}, {"start": 39.87, "end": 40.19, "word": " also", "probability": 0.8701171875}, {"start": 40.19, "end": 40.39, "word": " at", "probability": 0.96923828125}, {"start": 40.39, "end": 40.55, "word": " least", "probability": 0.96630859375}, {"start": 40.55, "end": 40.81, "word": " 5.", "probability": 0.98974609375}], "temperature": 1.0}, {"id": 3, "seek": 6816, "start": 41.22, "end": 68.16, "text": " Also, we discussed that the point estimate for the difference of Pi 1 minus Pi 2 is given by P1 minus P2. That means this difference is unbiased point estimate of Pi 1 minus Pi 2. Similarly, P2 minus P1 is the point estimate of the difference Pi 2 minus Pi 1.", "tokens": [2743, 11, 321, 7152, 300, 264, 935, 12539, 337, 264, 2649, 295, 17741, 502, 3175, 17741, 568, 307, 2212, 538, 430, 16, 3175, 430, 17, 13, 663, 1355, 341, 2649, 307, 517, 5614, 1937, 935, 12539, 295, 17741, 502, 3175, 17741, 568, 13, 13157, 11, 430, 17, 3175, 430, 16, 307, 264, 935, 12539, 295, 264, 2649, 17741, 568, 3175, 17741, 502, 13], "avg_logprob": -0.11450195638462901, "compression_ratio": 1.793103448275862, "no_speech_prob": 0.0, "words": [{"start": 41.22, "end": 41.78, "word": " Also,", "probability": 0.89892578125}, {"start": 42.16, "end": 42.86, "word": " we", "probability": 0.95556640625}, {"start": 42.86, "end": 43.42, "word": " discussed", "probability": 0.84375}, {"start": 43.42, "end": 43.82, "word": " that", "probability": 0.9140625}, {"start": 43.82, "end": 44.02, "word": " the", "probability": 0.857421875}, {"start": 44.02, "end": 44.26, "word": " point", "probability": 0.97314453125}, {"start": 44.26, "end": 44.88, "word": " estimate", "probability": 0.931640625}, {"start": 44.88, "end": 45.84, "word": " for", "probability": 0.89794921875}, {"start": 45.84, "end": 46.0, "word": " the", "probability": 0.92138671875}, {"start": 46.0, "end": 46.56, "word": " difference", "probability": 0.84228515625}, {"start": 46.56, "end": 47.48, "word": " of", "probability": 0.87939453125}, {"start": 47.48, "end": 48.1, "word": " Pi", "probability": 0.1783447265625}, {"start": 48.1, "end": 48.3, "word": " 1", "probability": 0.72216796875}, {"start": 48.3, "end": 48.68, "word": " minus", "probability": 0.9248046875}, {"start": 48.68, "end": 48.96, "word": " Pi", "probability": 0.97216796875}, {"start": 48.96, "end": 49.26, "word": " 2", "probability": 0.9921875}, {"start": 49.26, "end": 50.04, "word": " is", "probability": 0.86181640625}, {"start": 50.04, "end": 50.32, "word": " given", "probability": 0.89990234375}, {"start": 50.32, "end": 50.84, "word": " by", "probability": 0.9677734375}, {"start": 50.84, "end": 51.4, "word": " P1", "probability": 0.798095703125}, {"start": 51.4, "end": 51.7, "word": " minus", "probability": 0.9833984375}, {"start": 51.7, "end": 52.1, "word": " P2.", "probability": 0.99462890625}, {"start": 52.48, "end": 53.06, "word": " That", "probability": 0.9052734375}, {"start": 53.06, "end": 53.46, "word": " means", "probability": 0.9384765625}, {"start": 53.46, "end": 53.98, "word": " this", "probability": 0.85693359375}, {"start": 53.98, "end": 54.66, "word": " difference", "probability": 0.890625}, {"start": 54.66, "end": 55.46, "word": " is", "probability": 0.9423828125}, {"start": 55.46, "end": 56.1, "word": " unbiased", "probability": 0.9453125}, {"start": 56.1, "end": 57.16, "word": " point", "probability": 0.90966796875}, {"start": 57.16, "end": 57.84, "word": " estimate", "probability": 0.92626953125}, {"start": 57.84, "end": 58.88, "word": " of", "probability": 0.9619140625}, {"start": 58.88, "end": 59.08, "word": " Pi", "probability": 0.94482421875}, {"start": 59.08, "end": 59.26, "word": " 1", "probability": 0.98388671875}, {"start": 59.26, "end": 59.56, "word": " minus", "probability": 0.984375}, {"start": 59.56, "end": 59.74, "word": " Pi", "probability": 0.98046875}, {"start": 59.74, "end": 59.94, "word": " 2.", "probability": 0.99462890625}, {"start": 60.78, "end": 61.36, "word": " Similarly,", "probability": 0.85302734375}, {"start": 62.28, "end": 62.84, "word": " P2", "probability": 0.924560546875}, {"start": 62.84, "end": 63.16, "word": " minus", "probability": 0.98486328125}, {"start": 63.16, "end": 63.7, "word": " P1", "probability": 0.996337890625}, {"start": 63.7, "end": 64.22, "word": " is", "probability": 0.9375}, {"start": 64.22, "end": 64.36, "word": " the", "probability": 0.89111328125}, {"start": 64.36, "end": 64.6, "word": " point", "probability": 0.97265625}, {"start": 64.6, "end": 65.16, "word": " estimate", "probability": 0.93701171875}, {"start": 65.16, "end": 65.64, "word": " of", "probability": 0.9345703125}, {"start": 65.64, "end": 65.78, "word": " the", "probability": 0.89111328125}, {"start": 65.78, "end": 66.24, "word": " difference", "probability": 0.822265625}, {"start": 66.24, "end": 66.5, "word": " Pi", "probability": 0.7685546875}, {"start": 66.5, "end": 66.7, "word": " 2", "probability": 0.97900390625}, {"start": 66.7, "end": 67.16, "word": " minus", "probability": 0.98486328125}, {"start": 67.16, "end": 67.94, "word": " Pi", "probability": 0.97412109375}, {"start": 67.94, "end": 68.16, "word": " 1.", "probability": 0.98974609375}], "temperature": 1.0}, {"id": 4, "seek": 9216, "start": 71.26, "end": 92.16, "text": " We also discussed that the bold estimate for the overall proportion is given by this equation. So B dash is called the bold estimate for the overall proportion. 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The appropriate statistic in this course is given by this equation.", "tokens": [400, 264, 732, 10938, 300, 291, 362, 294, 472, 293, 732, 11, 689, 294, 472, 293, 732, 366, 264, 6889, 11602, 337, 264, 700, 293, 264, 1150, 6889, 25009, 13, 440, 6854, 29588, 294, 341, 1164, 307, 2212, 538, 341, 5367, 13], "avg_logprob": -0.19022529277690622, "compression_ratio": 1.532846715328467, "no_speech_prob": 0.0, "words": [{"start": 93.01, "end": 93.39, "word": " And", "probability": 0.2216796875}, {"start": 93.39, "end": 93.63, "word": " the", "probability": 0.87841796875}, {"start": 93.63, "end": 93.81, "word": " two", "probability": 0.919921875}, {"start": 93.81, "end": 94.17, "word": " samples", "probability": 0.85986328125}, {"start": 94.17, "end": 94.49, "word": " that", "probability": 0.9306640625}, {"start": 94.49, "end": 94.61, "word": " you", "probability": 0.95556640625}, {"start": 94.61, "end": 94.79, "word": " have", "probability": 0.86865234375}, {"start": 94.79, "end": 94.91, "word": 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{"id": 7, "seek": 16452, "start": 138.98, "end": 164.52, "text": " So this is your Z statistic. The critical regions. I'm sorry, first, the appropriate null and alternative hypothesis are given by three cases we have. Either two-tailed test or one-tailed and it has either upper or lower tail. 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So if this is one by one smaller than by two, so the opposite by one is greater than or equal to two. Similarly, but the opposite side here, we are talking about the upper tail of probability. So under the alternative hypothesis, by one is greater than by two. 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Difference means either greater than or smaller than. So we have this not equal sign. So by one does not equal by two. Or it could be written as by one minus by two is not equal to zero. It's the same as the one we have discussed when we are talking about comparison of two population means. We just replaced these by's by mus. 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We reject the null hypothesis if the value of the test statistic fall in the rejection region, which is in the left side. So that means we reject zero if this statistic is smaller than negative zero. That's for lower tail test.", "tokens": [1045, 819, 17767, 510, 337, 264, 3126, 6838, 1500, 13, 492, 8248, 264, 18184, 17291, 498, 264, 2158, 295, 264, 1500, 29588, 2100, 294, 264, 26044, 4458, 11, 597, 307, 294, 264, 1411, 1252, 13, 407, 300, 1355, 321, 8248, 4018, 498, 341, 29588, 307, 4356, 813, 3671, 4018, 13, 663, 311, 337, 3126, 6838, 1500, 13], "avg_logprob": -0.2490570992231369, "compression_ratio": 1.6726190476190477, "no_speech_prob": 0.0, "words": [{"start": 265.9, "end": 266.32, "word": " three", "probability": 0.2379150390625}, {"start": 266.32, "end": 266.88, "word": " different", "probability": 0.8701171875}, {"start": 266.88, "end": 267.58, "word": " charts", "probability": 0.8623046875}, {"start": 267.58, "end": 267.98, "word": " here", "probability": 0.83544921875}, {"start": 267.98, "end": 269.08, "word": " for", "probability": 0.498291015625}, {"start": 269.08, "end": 269.36, "word": " the", "probability": 0.91796875}, {"start": 269.36, "end": 269.76, "word": " lower", "probability": 0.74462890625}, {"start": 269.76, "end": 270.0, "word": " tail", "probability": 0.412109375}, {"start": 270.0, "end": 271.24, "word": " test.", "probability": 0.537109375}, {"start": 272.26, "end": 272.9, "word": " We", "probability": 0.94384765625}, {"start": 272.9, "end": 273.3, "word": " reject", "probability": 0.8740234375}, {"start": 273.3, "end": 273.46, "word": " the", "probability": 0.7421875}, {"start": 273.46, "end": 273.58, "word": " null", "probability": 0.962890625}, {"start": 273.58, "end": 274.02, "word": " hypothesis", "probability": 0.9501953125}, {"start": 274.02, "end": 275.06, "word": " if", "probability": 0.88720703125}, {"start": 275.06, "end": 275.22, "word": " the", "probability": 0.9150390625}, {"start": 275.22, "end": 275.5, "word": " value", "probability": 0.9501953125}, {"start": 275.5, "end": 275.62, "word": " of", "probability": 0.94140625}, {"start": 275.62, "end": 275.76, "word": " the", "probability": 0.84228515625}, {"start": 275.76, "end": 275.96, "word": " test", "probability": 0.77294921875}, {"start": 275.96, "end": 276.4, "word": " statistic", "probability": 0.8603515625}, {"start": 276.4, "end": 276.86, "word": " fall", "probability": 0.673828125}, {"start": 276.86, "end": 277.04, "word": " in", "probability": 0.90869140625}, {"start": 277.04, "end": 277.14, "word": " the", "probability": 0.91845703125}, {"start": 277.14, "end": 277.5, "word": " rejection", "probability": 0.96142578125}, {"start": 277.5, "end": 277.96, "word": " region,", "probability": 0.9208984375}, {"start": 278.26, "end": 278.68, "word": " which", "probability": 0.9228515625}, {"start": 278.68, "end": 278.82, "word": " is", "probability": 0.94091796875}, {"start": 278.82, "end": 278.94, "word": " in", "probability": 0.477783203125}, {"start": 278.94, "end": 279.04, "word": " the", "probability": 0.9130859375}, {"start": 279.04, "end": 279.28, "word": " left", "probability": 0.95361328125}, {"start": 279.28, "end": 279.74, "word": " side.", "probability": 0.8544921875}, {"start": 280.22, "end": 280.42, "word": " So", "probability": 0.9404296875}, {"start": 280.42, "end": 280.62, "word": " that", "probability": 0.857421875}, {"start": 280.62, "end": 280.94, "word": " means", "probability": 0.939453125}, {"start": 280.94, "end": 281.1, "word": " we", "probability": 0.8779296875}, {"start": 281.1, "end": 281.42, "word": " reject", "probability": 0.78369140625}, {"start": 281.42, "end": 281.88, "word": " zero", "probability": 0.461181640625}, {"start": 281.88, "end": 282.56, "word": " if", "probability": 0.837890625}, {"start": 282.56, "end": 282.72, "word": " this", "probability": 0.50732421875}, {"start": 282.72, "end": 283.14, "word": " statistic", "probability": 0.873046875}, {"start": 283.14, "end": 283.46, "word": " is", "probability": 0.94482421875}, {"start": 283.46, "end": 283.78, "word": " smaller", "probability": 0.869140625}, {"start": 283.78, "end": 284.04, "word": " than", "probability": 0.93994140625}, {"start": 284.04, "end": 284.4, "word": " negative", "probability": 0.8232421875}, {"start": 284.4, "end": 284.62, "word": " zero.", "probability": 0.2783203125}, {"start": 285.36, "end": 286.0, "word": " That's", "probability": 0.935791015625}, {"start": 286.0, "end": 286.38, "word": " for", "probability": 0.93310546875}, {"start": 286.38, "end": 286.98, "word": " lower", "probability": 0.81005859375}, {"start": 286.98, "end": 287.3, "word": " tail", "probability": 0.52197265625}, {"start": 287.3, "end": 287.62, "word": " test.", "probability": 0.77001953125}], "temperature": 1.0}, {"id": 13, "seek": 31744, "start": 289.08, "end": 317.44, "text": " On the other hand, for other tailed tests, your rejection region is the right side, so you reject the null hypothesis if this statistic is greater than Z alpha. In addition, for two-tailed tests, there are two rejection regions. One is on the right side, the other on the left side. Here, alpha is split into two halves, alpha over two to the right, similarly alpha over two to the left side. Here, we reject the null hypothesis if your Z statistic", "tokens": [1282, 264, 661, 1011, 11, 337, 661, 6838, 292, 6921, 11, 428, 26044, 4458, 307, 264, 558, 1252, 11, 370, 291, 8248, 264, 18184, 17291, 498, 341, 29588, 307, 5044, 813, 1176, 8961, 13, 682, 4500, 11, 337, 732, 12, 14430, 292, 6921, 11, 456, 366, 732, 26044, 10682, 13, 1485, 307, 322, 264, 558, 1252, 11, 264, 661, 322, 264, 1411, 1252, 13, 1692, 11, 8961, 307, 7472, 666, 732, 38490, 11, 8961, 670, 732, 281, 264, 558, 11, 14138, 8961, 670, 732, 281, 264, 1411, 1252, 13, 1692, 11, 321, 8248, 264, 18184, 17291, 498, 428, 1176, 29588], "avg_logprob": -0.23174504242321053, "compression_ratio": 2.1179245283018866, "no_speech_prob": 0.0, "words": [{"start": 289.08, "end": 289.32, "word": " On", "probability": 0.875}, {"start": 289.32, "end": 289.44, "word": " the", "probability": 0.9189453125}, {"start": 289.44, "end": 289.62, "word": " other", "probability": 0.8896484375}, {"start": 289.62, "end": 289.94, "word": " hand,", 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Now this one, I mean the rejection regions are the same for either one sample t-test or two sample t-test, either for the population proportion or the population mean. We have the same", "tokens": [8804, 294, 264, 26044, 4458, 510, 11, 300, 1355, 710, 307, 4356, 813, 3671, 710, 8961, 670, 568, 420, 710, 307, 5044, 813, 710, 8961, 670, 568, 13, 823, 341, 472, 11, 286, 914, 264, 26044, 10682, 366, 264, 912, 337, 2139, 472, 6889, 256, 12, 31636, 420, 732, 6889, 256, 12, 31636, 11, 2139, 337, 264, 4415, 16068, 420, 264, 4415, 914, 13, 492, 362, 264, 912], "avg_logprob": -0.2259963794031005, "compression_ratio": 1.8734939759036144, "no_speech_prob": 0.0, "words": [{"start": 318.16, "end": 318.6, "word": " falls", "probability": 0.1778564453125}, {"start": 318.6, "end": 318.88, "word": " in", "probability": 0.865234375}, {"start": 318.88, "end": 319.02, "word": " the", "probability": 0.8798828125}, {"start": 319.02, "end": 319.32, "word": " rejection", "probability": 0.92919921875}, {"start": 319.32, "end": 319.74, "word": " region", "probability": 0.9150390625}, {"start": 319.74, "end": 320.06, "word": " here,", "probability": 0.80859375}, {"start": 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Sometimes we replace z by t. It depends if we are talking about small samples and sigmas unknown. So that's the basic concepts about testing or hypothesis testing for the comparison between two population proportions. And we stopped at this point. I will give three examples, three examples for testing about two population proportions. The first one is given here.", "tokens": [26044, 10682, 13, 4803, 321, 7406, 710, 538, 256, 13, 467, 5946, 498, 321, 366, 1417, 466, 1359, 10938, 293, 4556, 3799, 9841, 13, 407, 300, 311, 264, 3875, 10392, 466, 4997, 420, 17291, 4997, 337, 264, 9660, 1296, 732, 4415, 32482, 13, 400, 321, 5936, 412, 341, 935, 13, 286, 486, 976, 1045, 5110, 11, 1045, 5110, 337, 4997, 466, 732, 4415, 32482, 13, 440, 700, 472, 307, 2212, 510, 13], "avg_logprob": -0.18161387149601765, "compression_ratio": 1.7035398230088497, "no_speech_prob": 0.0, "words": [{"start": 343.96, "end": 344.5, "word": " rejection", "probability": 0.351318359375}, {"start": 344.5, "end": 345.1, "word": " regions.", "probability": 0.9404296875}, {"start": 345.42, "end": 345.9, "word": " Sometimes", "probability": 0.91552734375}, {"start": 345.9, "end": 346.12, "word": " we", "probability": 0.77978515625}, {"start": 346.12, "end": 346.52, "word": " replace", "probability": 0.89404296875}, {"start": 346.52, "end": 346.76, "word": " z", "probability": 0.580078125}, {"start": 346.76, "end": 346.98, "word": " by", "probability": 0.96142578125}, {"start": 346.98, "end": 347.24, "word": " t.", "probability": 0.8828125}, {"start": 347.68, "end": 347.88, "word": " It", "probability": 0.94873046875}, {"start": 347.88, "end": 348.32, "word": " depends", "probability": 0.916015625}, {"start": 348.32, "end": 348.84, "word": " if", "probability": 0.89794921875}, {"start": 348.84, "end": 348.96, "word": " we", "probability": 0.94677734375}, {"start": 348.96, "end": 349.08, "word": " are", "probability": 0.9326171875}, {"start": 349.08, "end": 349.38, "word": " talking", "probability": 0.83154296875}, {"start": 349.38, "end": 349.8, "word": " about", "probability": 0.89697265625}, {"start": 349.8, "end": 350.48, "word": " small", "probability": 0.8701171875}, {"start": 350.48, "end": 350.9, "word": " samples", "probability": 0.334716796875}, {"start": 350.9, "end": 351.22, "word": " and", "probability": 0.880859375}, {"start": 351.22, "end": 351.7, "word": " sigmas", "probability": 0.7032470703125}, {"start": 351.7, "end": 352.5, "word": " unknown.", "probability": 0.70703125}, {"start": 354.06, "end": 354.38, "word": " So", "probability": 0.9345703125}, {"start": 354.38, "end": 354.64, "word": " that's", "probability": 0.903564453125}, {"start": 354.64, "end": 354.76, "word": " the", "probability": 0.91796875}, {"start": 354.76, "end": 355.02, "word": " basic", "probability": 0.9658203125}, {"start": 355.02, "end": 355.64, "word": " concepts", "probability": 0.75244140625}, {"start": 355.64, "end": 356.2, "word": " about", "probability": 0.9072265625}, {"start": 356.2, "end": 356.94, "word": " testing", "probability": 0.75732421875}, {"start": 356.94, "end": 357.24, "word": " or", "probability": 0.6533203125}, {"start": 357.24, "end": 357.7, "word": " hypothesis", "probability": 0.86474609375}, {"start": 357.7, "end": 358.16, "word": " testing", "probability": 0.857421875}, {"start": 358.16, "end": 358.54, 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"probability": 0.91845703125}, {"start": 364.84, "end": 365.02, "word": " I", "probability": 0.9970703125}, {"start": 365.02, "end": 365.14, "word": " will", "probability": 0.88671875}, {"start": 365.14, "end": 365.36, "word": " give", "probability": 0.87841796875}, {"start": 365.36, "end": 365.6, "word": " three", "probability": 0.91162109375}, {"start": 365.6, "end": 366.16, "word": " examples,", "probability": 0.84521484375}, {"start": 366.3, "end": 366.6, "word": " three", "probability": 0.90869140625}, {"start": 366.6, "end": 367.04, "word": " examples", "probability": 0.85546875}, {"start": 367.04, "end": 367.5, "word": " for", "probability": 0.85205078125}, {"start": 367.5, "end": 368.78, "word": " testing", "probability": 0.82275390625}, {"start": 368.78, "end": 369.26, "word": " about", "probability": 0.9052734375}, {"start": 369.26, "end": 369.64, "word": " two", "probability": 0.91943359375}, {"start": 369.64, "end": 370.14, "word": " population", "probability": 0.85693359375}, {"start": 370.14, "end": 370.7, "word": " proportions.", "probability": 0.74169921875}, {"start": 370.92, "end": 371.06, "word": " The", "probability": 0.87060546875}, {"start": 371.06, "end": 371.34, "word": " first", "probability": 0.88525390625}, {"start": 371.34, "end": 371.52, "word": " one", "probability": 0.9248046875}, {"start": 371.52, "end": 371.66, "word": " is", "probability": 0.9443359375}, {"start": 371.66, "end": 371.9, "word": " given", "probability": 0.88427734375}, {"start": 371.9, "end": 372.26, "word": " here.", "probability": 0.85595703125}], "temperature": 1.0}, {"id": 16, "seek": 38463, "start": 373.09, "end": 384.63, "text": " It says that, is there a significant difference between the proportion of men and the proportion of women who will vote yes on a proposition?", "tokens": [467, 1619, 300, 11, 307, 456, 257, 4776, 2649, 1296, 264, 16068, 295, 1706, 293, 264, 16068, 295, 2266, 567, 486, 4740, 2086, 322, 257, 24830, 30], "avg_logprob": 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a", "probability": 0.76904296875}, {"start": 384.17, "end": 384.63, "word": " proposition?", "probability": 0.8837890625}], "temperature": 1.0}, {"id": 17, "seek": 41572, "start": 388.22, "end": 415.72, "text": " In this case, we are talking about a proportion. So this problem tests for a proportion. We have two proportions here because we have two samples for two population spheres, men and women. So there are two populations. So we are talking about two population proportions. Now, we have to state carefully now an alternative hypothesis. So for example, let's say that phi 1", "tokens": [682, 341, 1389, 11, 321, 366, 1417, 466, 257, 16068, 13, 407, 341, 1154, 6921, 337, 257, 16068, 13, 492, 362, 732, 32482, 510, 570, 321, 362, 732, 10938, 337, 732, 4415, 41225, 11, 1706, 293, 2266, 13, 407, 456, 366, 732, 12822, 13, 407, 321, 366, 1417, 466, 732, 4415, 32482, 13, 823, 11, 321, 362, 281, 1785, 7500, 586, 364, 8535, 17291, 13, 407, 337, 1365, 11, 718, 311, 584, 300, 13107, 502], "avg_logprob": -0.2002467107223837, "compression_ratio": 1.8366336633663367, "no_speech_prob": 0.0, "words": [{"start": 388.22, "end": 388.5, "word": " In", "probability": 0.87548828125}, {"start": 388.5, "end": 388.8, "word": " this", "probability": 0.94775390625}, {"start": 388.8, "end": 389.08, "word": " case,", "probability": 0.9169921875}, {"start": 389.14, "end": 389.22, "word": " we", "probability": 0.9599609375}, {"start": 389.22, "end": 389.34, "word": " are", "probability": 0.91748046875}, {"start": 389.34, "end": 389.66, "word": " 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{"start": 412.02, "end": 412.54, "word": " hypothesis.", "probability": 0.85009765625}, {"start": 413.02, "end": 413.22, "word": " So", "probability": 0.95751953125}, {"start": 413.22, "end": 413.44, "word": " for", "probability": 0.77685546875}, {"start": 413.44, "end": 413.78, "word": " example,", "probability": 0.97607421875}, {"start": 413.88, "end": 414.32, "word": " let's", "probability": 0.96728515625}, {"start": 414.32, "end": 414.7, "word": " say", "probability": 0.9033203125}, {"start": 414.7, "end": 415.08, "word": " that", "probability": 0.88134765625}, {"start": 415.08, "end": 415.44, "word": " phi", "probability": 0.65869140625}, {"start": 415.44, "end": 415.72, "word": " 1", "probability": 0.86083984375}], "temperature": 1.0}, {"id": 18, "seek": 43330, "start": 416.74, "end": 433.3, "text": " is the population proportion, proportion of men who will vote for a proposition A for example, for vote yes, for vote yes for proposition A.", "tokens": [307, 264, 4415, 16068, 11, 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So the first one for men and the other of women. 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Difference means two tails. So it should be pi 1 does not equal pi 2. Pi 1 does not equal pi 2. So there's still one state null and alternate hypothesis. 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So for example, if X1 represents number of men who would vote yes, that means X1 equals 36 in 172. So that's for men. Now for women.", "tokens": [400, 10353, 295, 2625, 2266, 16176, 436, 576, 4740, 2086, 13, 407, 337, 1365, 11, 498, 1783, 16, 8855, 1230, 295, 1706, 567, 576, 4740, 2086, 11, 300, 1355, 1783, 16, 6915, 8652, 294, 3282, 17, 13, 407, 300, 311, 337, 1706, 13, 823, 337, 2266, 13], "avg_logprob": -0.21435546781867743, "compression_ratio": 1.326086956521739, "no_speech_prob": 0.0, "words": [{"start": 506.06, "end": 506.42, "word": " And", "probability": 0.370849609375}, {"start": 506.42, "end": 506.9, "word": " 31", "probability": 0.6982421875}, {"start": 506.9, "end": 507.42, "word": " of", "probability": 0.6005859375}, {"start": 507.42, "end": 507.86, "word": " 50", "probability": 0.94580078125}, {"start": 507.86, "end": 508.22, "word": " women", "probability": 0.8974609375}, {"start": 508.22, "end": 508.88, "word": " indicated", "probability": 0.82666015625}, {"start": 508.88, "end": 509.16, "word": " they", "probability": 0.8427734375}, {"start": 509.16, "end": 509.36, "word": " would", "probability": 0.904296875}, {"start": 509.36, "end": 509.68, "word": " vote", "probability": 0.912109375}, {"start": 509.68, "end": 510.06, "word": " yes.", "probability": 0.5146484375}, {"start": 510.72, "end": 511.48, "word": " So", "probability": 0.7138671875}, {"start": 511.48, "end": 511.74, "word": " for", "probability": 0.64111328125}, {"start": 511.74, "end": 512.06, "word": " example,", "probability": 0.97705078125}, {"start": 512.16, "end": 512.3, "word": " if", "probability": 0.9423828125}, {"start": 512.3, "end": 513.38, "word": " X1", "probability": 0.719970703125}, {"start": 513.38, "end": 514.2, "word": " represents", "probability": 0.86474609375}, {"start": 514.2, "end": 514.64, "word": " number", "probability": 0.7421875}, {"start": 514.64, "end": 514.96, "word": " of", "probability": 0.97119140625}, {"start": 514.96, "end": 515.66, "word": " men", "probability": 0.7578125}, {"start": 515.66, "end": 516.94, "word": " who", "probability": 0.82763671875}, {"start": 516.94, "end": 517.8, "word": " would", "probability": 0.91162109375}, {"start": 517.8, "end": 518.1, "word": " vote", "probability": 0.90234375}, {"start": 518.1, "end": 518.54, "word": " yes,", "probability": 0.9453125}, {"start": 518.7, "end": 519.0, "word": " that", "probability": 0.91748046875}, {"start": 519.0, "end": 519.26, "word": " means", "probability": 0.93017578125}, {"start": 519.26, "end": 519.72, "word": " X1", "probability": 0.95947265625}, {"start": 519.72, "end": 520.22, "word": " equals", "probability": 0.84033203125}, {"start": 520.22, "end": 521.82, "word": " 36", "probability": 0.966796875}, {"start": 521.82, "end": 525.72, "word": " in", "probability": 0.471923828125}, {"start": 525.72, "end": 526.48, "word": " 172.", "probability": 0.911865234375}, {"start": 527.66, "end": 528.42, "word": " So", "probability": 0.94287109375}, {"start": 528.42, "end": 528.68, "word": " that's", "probability": 0.95361328125}, {"start": 528.68, "end": 528.84, "word": " for", "probability": 0.91552734375}, {"start": 528.84, "end": 529.08, "word": " men.", "probability": 0.94580078125}, {"start": 530.8, "end": 531.22, "word": " Now", "probability": 0.85205078125}, {"start": 531.22, "end": 531.46, "word": " for", "probability": 0.70703125}, {"start": 531.46, "end": 531.8, "word": " women.", "probability": 0.90869140625}], "temperature": 1.0}, {"id": 22, "seek": 56107, "start": 532.59, "end": 561.07, "text": " 31 out of 50. So 50 is the sample size for the second sample. Now it's ask about this test about the difference between the two population proportion at 5% level of significance. So alpha is given to be 5%. 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statement, we state null and alternative hypothesis. Now based on this information, we can solve the problem by using three different approaches. Critical value approach, B value, and confidence interval approach. Because we can use confidence interval approach because we are talking about two-tailed test. So let's start with the basic one, critical value approach. 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Or just if you remember that values from previous time. So the critical regions are above 196 or smaller than negative 196. I have to compute the Z statistic. Now Z statistic is given by this equation. 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This quantity divided by P dash 1 minus P dash multiplied by 1 over N1 plus 1 over N1. Here we have to find B1, B2. So B1 equals X1 over N1. 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Similarly, B2 is A equals X2 over into X to the third power over 50, so that's 60%. 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X1 and X2. 36 plus 31. Over 72 plus 7. 72 plus 7. So that means 67 over 152.549. 120.", "tokens": [708, 366, 264, 6889, 11602, 321, 362, 30, 1783, 16, 293, 1783, 17, 13, 8652, 1804, 10353, 13, 4886, 18731, 1804, 1614, 13, 18731, 1804, 1614, 13, 407, 300, 1355, 23879, 670, 2119, 17, 13, 20, 14938, 13, 10411, 13], "avg_logprob": -0.3313643176381181, "compression_ratio": 1.1308411214953271, "no_speech_prob": 0.0, "words": [{"start": 721.89, "end": 721.95, "word": " What", "probability": 0.08160400390625}, {"start": 721.95, "end": 722.09, "word": " are", "probability": 0.456787109375}, {"start": 722.09, "end": 722.19, "word": " the", "probability": 0.7021484375}, {"start": 722.19, "end": 722.39, "word": " sample", "probability": 0.88916015625}, {"start": 722.39, "end": 722.83, "word": " sizes", "probability": 0.8994140625}, {"start": 722.83, "end": 723.05, "word": " we", "probability": 0.85400390625}, {"start": 723.05, "end": 723.31, "word": " have?", "probability": 0.91796875}, {"start": 724.57, "end": 725.49, "word": " X1", "probability": 0.714599609375}, {"start": 725.49, "end": 725.67, "word": " and", "probability": 0.92626953125}, {"start": 725.67, "end": 726.13, "word": " X2.", "probability": 0.84619140625}, {"start": 726.21, "end": 727.13, "word": " 36", "probability": 0.7626953125}, {"start": 727.13, "end": 727.71, "word": " plus", "probability": 0.86328125}, {"start": 727.71, "end": 728.33, "word": " 31.", "probability": 0.9638671875}, {"start": 729.19, "end": 729.71, "word": " Over", "probability": 0.38720703125}, {"start": 729.71, "end": 730.23, "word": " 72", "probability": 0.64306640625}, {"start": 730.23, "end": 730.75, "word": " plus", "probability": 0.9228515625}, {"start": 730.75, "end": 731.11, "word": " 7.", "probability": 0.5576171875}, {"start": 731.41, "end": 731.99, "word": " 72", "probability": 0.74072265625}, {"start": 731.99, "end": 732.29, "word": " plus", "probability": 0.95263671875}, {"start": 732.29, "end": 732.73, "word": " 7.", "probability": 0.95556640625}, {"start": 733.49, "end": 734.13, "word": " So", "probability": 0.9169921875}, {"start": 734.13, "end": 734.35, "word": " that", "probability": 0.82763671875}, {"start": 734.35, "end": 734.55, "word": " means", "probability": 0.890625}, {"start": 734.55, "end": 735.21, "word": " 67", "probability": 0.85595703125}, {"start": 735.21, "end": 735.95, "word": " over", "probability": 0.90087890625}, {"start": 735.95, "end": 736.83, "word": " 152", "probability": 0.948974609375}, {"start": 736.83, "end": 742.31, "word": ".549.", "probability": 0.5545247395833334}, {"start": 744.69, "end": 745.61, "word": " 120.", "probability": 0.75634765625}], "temperature": 1.0}, {"id": 29, "seek": 77036, "start": 750.4, "end": 770.36, "text": " So simple calculations give B1 and B2, as well as B dash. Now, plug these values on the Z-state formula, we get the value that is this. So first, state null and alternative hypothesis, pi 1 minus pi 2 equals 0. 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That means there is a significant difference between proportions. Now for men, we got proportion of 50%. That's for the similar proportion. And similar proportion for women who will vote yes for position A is 62%. The pooled estimate for the overall proportion equals 0.549.", "tokens": [492, 366, 516, 281, 1500, 341, 472, 1970, 17741, 502, 3175, 17741, 568, 307, 406, 4018, 13, 663, 1355, 456, 307, 257, 4776, 2649, 1296, 32482, 13, 823, 337, 1706, 11, 321, 658, 16068, 295, 2625, 6856, 663, 311, 337, 264, 2531, 16068, 13, 400, 2531, 16068, 337, 2266, 567, 486, 4740, 2086, 337, 2535, 316, 307, 24536, 6856, 440, 7005, 292, 12539, 337, 264, 4787, 16068, 6915, 1958, 13, 20, 14938, 13], "avg_logprob": -0.2106207820612031, "compression_ratio": 1.5981308411214954, "no_speech_prob": 0.0, "words": [{"start": 771.69, "end": 771.91, "word": " We", "probability": 0.7314453125}, {"start": 771.91, "end": 772.05, "word": " are", "probability": 0.900390625}, {"start": 772.05, "end": 772.27, "word": " going", "probability": 0.9443359375}, {"start": 772.27, "end": 772.47, "word": " to", "probability": 0.96435546875}, {"start": 772.47, "end": 772.79, "word": " test", "probability": 0.87548828125}, {"start": 772.79, 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Straightforward calculation, you will end with this result. So, Z start negative 1.31. So, we have to compute this one before either before using any of the approaches we have.", "tokens": [823, 11, 2361, 322, 341, 1589, 11, 321, 393, 8873, 264, 1176, 29588, 13, 26908, 13305, 17108, 11, 291, 486, 917, 365, 341, 1874, 13, 407, 11, 1176, 3543, 83, 3671, 502, 13, 12967, 13, 407, 11, 321, 362, 281, 14722, 341, 472, 949, 2139, 949, 1228, 604, 295, 264, 11587, 321, 362, 13], "avg_logprob": -0.30937499024651266, "compression_ratio": 1.5, "no_speech_prob": 0.0, "words": [{"start": 801.61, "end": 801.91, "word": " Now,", "probability": 0.51318359375}, {"start": 802.05, "end": 802.37, "word": " based", "probability": 0.90869140625}, {"start": 802.37, "end": 802.65, "word": " on", "probability": 0.95166015625}, {"start": 802.65, "end": 803.07, "word": " this", "probability": 0.93408203125}, {"start": 803.07, "end": 804.11, "word": " information,", "probability": 0.82666015625}, {"start": 804.23, "end": 804.35, "word": " we", "probability": 0.865234375}, {"start": 804.35, "end": 804.53, "word": " can", "probability": 0.9365234375}, {"start": 804.53, "end": 805.05, "word": " calculate", "probability": 0.90087890625}, {"start": 805.05, "end": 805.27, "word": " the", "probability": 0.63818359375}, {"start": 805.27, "end": 805.41, "word": " Z", "probability": 0.52001953125}, {"start": 805.41, "end": 806.01, "word": " statistic.", "probability": 0.6904296875}, {"start": 806.93, "end": 807.61, "word": " Straightforward", "probability": 0.620361328125}, {"start": 807.61, "end": 808.35, "word": " calculation,", "probability": 0.94189453125}, {"start": 809.59, "end": 809.93, "word": " you", "probability": 0.91357421875}, {"start": 809.93, "end": 810.11, "word": " will", "probability": 0.88818359375}, {"start": 810.11, "end": 810.43, "word": " end", "probability": 0.90380859375}, {"start": 810.43, "end": 810.97, "word": " with", "probability": 0.7216796875}, {"start": 810.97, "end": 811.29, "word": " this", "probability": 0.9453125}, {"start": 811.29, "end": 811.67, "word": " result.", "probability": 0.93017578125}, {"start": 812.85, "end": 813.23, "word": " So,", "probability": 0.92578125}, {"start": 813.41, "end": 813.47, "word": " Z", "probability": 0.7919921875}, {"start": 813.47, "end": 814.05, "word": " start", "probability": 0.29986572265625}, {"start": 814.05, "end": 816.57, "word": " negative", "probability": 0.46337890625}, {"start": 816.57, "end": 818.39, "word": " 1", "probability": 0.60009765625}, {"start": 818.39, "end": 819.35, "word": ".31.", "probability": 0.907958984375}, {"start": 821.79, "end": 822.47, "word": " So,", "probability": 0.89208984375}, {"start": 822.55, "end": 822.65, "word": " we", "probability": 0.94384765625}, {"start": 822.65, "end": 822.97, "word": " have", "probability": 0.94775390625}, {"start": 822.97, "end": 823.13, "word": " to", "probability": 0.97119140625}, {"start": 823.13, "end": 823.49, "word": " compute", "probability": 0.91943359375}, {"start": 823.49, "end": 823.83, "word": " this", "probability": 0.94921875}, {"start": 823.83, "end": 824.11, "word": " one", "probability": 0.9296875}, {"start": 824.11, "end": 824.51, "word": " before", "probability": 0.595703125}, {"start": 824.51, "end": 824.95, "word": " either", "probability": 0.64013671875}, {"start": 824.95, "end": 825.53, "word": " before", "probability": 0.409423828125}, {"start": 825.53, "end": 826.07, "word": " using", "probability": 0.83203125}, {"start": 826.07, "end": 826.53, "word": " any", "probability": 0.87548828125}, {"start": 826.53, "end": 826.69, "word": " of", "probability": 0.95703125}, {"start": 826.69, "end": 826.83, "word": " the", "probability": 0.8671875}, {"start": 826.83, "end": 827.13, "word": " approaches", "probability": 0.5380859375}, {"start": 827.13, "end": 827.43, "word": " we", "probability": 0.8203125}, {"start": 827.43, "end": 827.65, "word": " have.", "probability": 0.73193359375}], "temperature": 1.0}, {"id": 32, "seek": 84372, "start": 830.94, "end": 843.72, "text": " If we are going to use their critical value approach, we have to find Z alpha over 2 which is 1 more than 6. 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So my decision is don't reject H0. My conclusion is there is not significant evidence of a difference in proportions who will vote yes between men and women. Even it seems to me that there is a difference between", "tokens": [309, 311, 1850, 300, 341, 2158, 11, 3671, 502, 13, 12967, 11, 9134, 294, 264, 2107, 12, 265, 1020, 313, 4458, 11, 370, 321, 500, 380, 8248, 257, 18184, 17291, 13, 407, 452, 3537, 307, 500, 380, 8248, 389, 15, 13, 1222, 10063, 307, 456, 307, 406, 4776, 4467, 295, 257, 2649, 294, 32482, 567, 486, 4740, 2086, 1296, 1706, 293, 2266, 13, 2754, 309, 2544, 281, 385, 300, 456, 307, 257, 2649, 1296], "avg_logprob": -0.17156249284744263, "compression_ratio": 1.569377990430622, "no_speech_prob": 0.0, "words": [{"start": 844.74, "end": 845.14, "word": " it's", "probability": 0.7017822265625}, {"start": 845.14, "end": 845.46, "word": " clear", "probability": 0.89013671875}, {"start": 845.46, "end": 845.76, "word": " that", "probability": 0.93408203125}, {"start": 845.76, "end": 846.1, "word": " this", "probability": 0.94091796875}, {"start": 846.1, "end": 846.5, "word": " value,", "probability": 0.98193359375}, {"start": 846.86, 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Still, this difference is not significant in order to say that there is significant difference between the proportions of men and women. So based on the critical value approach.", "tokens": [10905, 32482, 11, 2625, 4, 293, 24536, 6856, 8291, 11, 341, 2649, 307, 406, 4776, 294, 1668, 281, 584, 300, 456, 307, 4776, 2649, 1296, 264, 32482, 295, 1706, 293, 2266, 13, 407, 2361, 322, 264, 4924, 2158, 3109, 13], "avg_logprob": -0.2202743873363588, "compression_ratio": 1.4825174825174825, "no_speech_prob": 0.0, "words": [{"start": 873.43, "end": 873.95, "word": " Similar", "probability": 0.099365234375}, {"start": 873.95, "end": 874.55, "word": " proportions,", "probability": 0.86376953125}, {"start": 874.79, "end": 875.05, "word": " 50", "probability": 0.93701171875}, {"start": 875.05, "end": 875.09, "word": "%", "probability": 0.5048828125}, {"start": 875.09, "end": 875.23, "word": " and", "probability": 0.94873046875}, {"start": 875.23, "end": 876.11, "word": " 62%.", "probability": 0.738525390625}, {"start": 876.11, "end": 877.29, "word": " Still,", "probability": 0.6328125}, {"start": 877.49, "end": 877.63, "word": " this", "probability": 0.94287109375}, {"start": 877.63, "end": 877.99, "word": " difference", "probability": 0.892578125}, {"start": 877.99, "end": 878.17, "word": " is", "probability": 0.927734375}, {"start": 878.17, "end": 878.29, "word": " not", "probability": 0.947265625}, {"start": 878.29, "end": 878.91, "word": " significant", "probability": 0.85791015625}, {"start": 878.91, "end": 879.27, "word": " in", "probability": 0.67919921875}, {"start": 879.27, "end": 879.47, "word": " order", "probability": 0.923828125}, {"start": 879.47, "end": 879.75, "word": " to", "probability": 0.97119140625}, {"start": 879.75, "end": 879.99, "word": " say", "probability": 0.7255859375}, {"start": 879.99, "end": 881.17, "word": " that", "probability": 0.85888671875}, {"start": 881.17, "end": 881.49, "word": " there", "probability": 0.9140625}, {"start": 881.49, "end": 881.67, "word": " is", "probability": 0.92724609375}, {"start": 881.67, "end": 882.35, "word": " significant", "probability": 0.7734375}, {"start": 882.35, "end": 882.83, "word": " difference", "probability": 0.8642578125}, {"start": 882.83, "end": 883.27, "word": " between", "probability": 0.85546875}, {"start": 883.27, "end": 883.95, "word": " the", "probability": 0.78173828125}, {"start": 883.95, "end": 884.41, "word": " proportions", "probability": 0.85400390625}, {"start": 884.41, "end": 884.73, "word": " of", "probability": 0.966796875}, {"start": 884.73, "end": 885.21, "word": " men", "probability": 0.962890625}, {"start": 885.21, "end": 885.87, "word": " and", "probability": 0.943359375}, {"start": 885.87, "end": 886.55, "word": " women.", "probability": 0.90234375}, {"start": 887.25, "end": 887.47, "word": " So", "probability": 0.90966796875}, {"start": 887.47, "end": 887.83, "word": " based", "probability": 0.72607421875}, {"start": 887.83, "end": 888.33, "word": " on", "probability": 0.947265625}, {"start": 888.33, "end": 888.71, "word": " the", "probability": 0.8955078125}, {"start": 888.71, "end": 889.07, "word": " critical", "probability": 0.8818359375}, {"start": 889.07, "end": 889.39, "word": " value", "probability": 0.96484375}, {"start": 889.39, "end": 889.73, "word": " approach.", "probability": 0.90380859375}], "temperature": 1.0}, {"id": 35, "seek": 91820, "start": 890.58, "end": 918.2, "text": " We end with this result, which is we don't reject null hypotheses. That means the information you have is not sufficient in order to support alternative hypotheses. So your managerial conclusion should be there is not significant difference in proportion and proportions who will vote yes between men and women. That's for using critical value approach.", "tokens": [492, 917, 365, 341, 1874, 11, 597, 307, 321, 500, 380, 8248, 18184, 49969, 13, 663, 1355, 264, 1589, 291, 362, 307, 406, 11563, 294, 1668, 281, 1406, 8535, 49969, 13, 407, 428, 6598, 831, 10063, 820, 312, 456, 307, 406, 4776, 2649, 294, 16068, 293, 32482, 567, 486, 4740, 2086, 1296, 1706, 293, 2266, 13, 663, 311, 337, 1228, 4924, 2158, 3109, 13], "avg_logprob": -0.17704326923076924, "compression_ratio": 1.6090909090909091, "no_speech_prob": 0.0, "words": [{"start": 890.58, "end": 890.9, "word": " We", "probability": 0.440185546875}, {"start": 890.9, "end": 891.16, "word": " end", "probability": 0.90869140625}, {"start": 891.16, "end": 891.34, "word": " with", "probability": 0.8837890625}, {"start": 891.34, "end": 891.58, "word": " this", "probability": 0.94140625}, {"start": 891.58, "end": 892.02, "word": " result,", "probability": 0.94384765625}, {"start": 892.18, "end": 892.34, "word": " which", "probability": 0.9462890625}, 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The confidence interval, as we mentioned before, can be constructed by point estimate, plus or minus critical value times the standard error of the point estimate.", "tokens": [4546, 2354, 11, 321, 362, 281, 2248, 264, 6687, 15035, 337, 264, 2649, 3895, 502, 3175, 3895, 568, 13, 440, 6687, 15035, 11, 382, 321, 2835, 949, 11, 393, 312, 17083, 538, 935, 12539, 11, 1804, 420, 3175, 4924, 2158, 1413, 264, 3832, 6713, 295, 264, 935, 12539, 13], "avg_logprob": -0.151093747317791, "compression_ratio": 1.6352201257861636, "no_speech_prob": 0.0, "words": [{"start": 919.77, "end": 920.29, "word": " Before", "probability": 0.86767578125}, {"start": 920.29, "end": 920.83, "word": " continue,", "probability": 0.54248046875}, {"start": 921.01, "end": 921.13, "word": " we", "probability": 0.9580078125}, {"start": 921.13, "end": 921.35, "word": " have", "probability": 0.9453125}, {"start": 921.35, "end": 921.51, "word": " to", "probability": 0.970703125}, {"start": 921.51, "end": 922.09, "word": " discuss", "probability": 0.89892578125}, {"start": 922.09, "end": 922.39, "word": " the", "probability": 0.87548828125}, {"start": 922.39, "end": 922.89, "word": " confidence", "probability": 0.9677734375}, {"start": 922.89, "end": 923.45, "word": " interval", "probability": 0.958984375}, {"start": 923.45, "end": 924.73, "word": " for", "probability": 0.88232421875}, {"start": 924.73, "end": 924.93, "word": " the", "probability": 0.91650390625}, {"start": 924.93, "end": 925.49, "word": " difference", "probability": 0.82373046875}, {"start": 925.49, "end": 925.85, "word": " pi", "probability": 0.54345703125}, {"start": 925.85, "end": 926.05, "word": " 1", "probability": 0.484375}, {"start": 926.05, "end": 926.37, "word": " minus", "probability": 0.947265625}, {"start": 926.37, "end": 926.59, "word": " pi", "probability": 0.9443359375}, {"start": 926.59, "end": 926.85, "word": " 2.", "probability": 0.9794921875}, {"start": 928.05, "end": 928.43, "word": " The", "probability": 0.8876953125}, {"start": 928.43, "end": 928.89, "word": " confidence", "probability": 0.9775390625}, {"start": 928.89, "end": 929.37, "word": " interval,", "probability": 0.9599609375}, {"start": 929.71, "end": 929.91, "word": " as", "probability": 0.96728515625}, {"start": 929.91, "end": 930.05, "word": " we", "probability": 0.95849609375}, {"start": 930.05, "end": 930.43, "word": " mentioned", "probability": 0.8134765625}, {"start": 930.43, "end": 931.07, "word": " before,", "probability": 0.8701171875}, {"start": 931.69, "end": 931.85, "word": " can", "probability": 0.94189453125}, {"start": 931.85, "end": 932.01, "word": " be", "probability": 0.9560546875}, {"start": 932.01, "end": 932.63, "word": " constructed", "probability": 0.923828125}, {"start": 932.63, "end": 933.91, "word": " by", "probability": 0.97021484375}, {"start": 933.91, "end": 934.93, "word": " point", "probability": 0.88720703125}, {"start": 934.93, "end": 935.55, "word": " estimate,", "probability": 0.87060546875}, {"start": 936.29, "end": 937.53, "word": " plus", "probability": 0.76318359375}, {"start": 937.53, "end": 937.83, "word": " or", "probability": 0.95703125}, {"start": 937.83, "end": 938.11, "word": " minus", "probability": 0.9873046875}, {"start": 938.11, "end": 938.53, "word": " critical", "probability": 0.78564453125}, {"start": 938.53, "end": 939.15, "word": " value", "probability": 0.9658203125}, {"start": 939.15, "end": 939.91, "word": " times", "probability": 0.56884765625}, {"start": 939.91, "end": 940.17, "word": " the", "probability": 0.8857421875}, {"start": 940.17, "end": 940.61, "word": " standard", "probability": 0.93408203125}, {"start": 940.61, "end": 941.07, "word": " error", "probability": 0.875}, {"start": 941.07, "end": 941.41, "word": " of", "probability": 0.966796875}, {"start": 941.41, "end": 941.59, "word": " the", "probability": 0.908203125}, {"start": 941.59, "end": 941.89, "word": " point", "probability": 0.9755859375}, {"start": 941.89, "end": 942.35, "word": " estimate.", "probability": 0.90185546875}], "temperature": 1.0}, {"id": 37, "seek": 96795, "start": 944.83, "end": 967.95, "text": " In this case, the point estimate for pi 1 minus pi 2 is b1 minus b2. So that's your point estimate, plus or minus z alpha over 2. Now from the information from chapter 8, the standard error of the difference, b1 minus pi 2, is given by this equation.", "tokens": [682, 341, 1389, 11, 264, 935, 12539, 337, 3895, 502, 3175, 3895, 568, 307, 272, 16, 3175, 272, 17, 13, 407, 300, 311, 428, 935, 12539, 11, 1804, 420, 3175, 710, 8961, 670, 568, 13, 823, 490, 264, 1589, 490, 7187, 1649, 11, 264, 3832, 6713, 295, 264, 2649, 11, 272, 16, 3175, 3895, 568, 11, 307, 2212, 538, 341, 5367, 13], "avg_logprob": -0.17646329033942448, "compression_ratio": 1.5212121212121212, "no_speech_prob": 0.0, "words": [{"start": 944.83, "end": 945.11, "word": " In", "probability": 0.83056640625}, {"start": 945.11, "end": 945.43, "word": " this", "probability": 0.94921875}, {"start": 945.43, "end": 946.75, "word": " case,", "probability": 0.91796875}, {"start": 947.09, "end": 947.21, "word": " the", "probability": 0.916015625}, {"start": 947.21, "end": 947.47, "word": " point", "probability": 0.9755859375}, {"start": 947.47, "end": 947.93, "word": " estimate", "probability": 0.943359375}, {"start": 947.93, "end": 948.89, "word": " for", "probability": 0.92724609375}, {"start": 948.89, "end": 949.07, "word": " pi", "probability": 0.583984375}, {"start": 949.07, "end": 949.25, "word": " 1", "probability": 0.58203125}, {"start": 949.25, "end": 949.55, "word": " minus", "probability": 0.95361328125}, {"start": 949.55, "end": 949.73, "word": " pi", "probability": 0.9404296875}, {"start": 949.73, "end": 949.87, "word": " 2", "probability": 0.9765625}, {"start": 949.87, "end": 949.99, "word": " is", "probability": 0.93798828125}, {"start": 949.99, "end": 950.27, "word": " b1", "probability": 0.535400390625}, {"start": 950.27, "end": 950.55, "word": " minus", "probability": 0.984375}, {"start": 950.55, "end": 950.93, "word": " b2.", "probability": 0.976806640625}, {"start": 951.91, "end": 952.49, "word": " So", "probability": 0.9228515625}, {"start": 952.49, "end": 952.79, "word": " that's", "probability": 0.864013671875}, {"start": 952.79, "end": 952.95, "word": " your", "probability": 0.8935546875}, {"start": 952.95, "end": 953.23, "word": " point", "probability": 0.9775390625}, {"start": 953.23, "end": 953.73, "word": " estimate,", "probability": 0.9072265625}, {"start": 954.49, "end": 954.89, "word": " plus", "probability": 0.91455078125}, {"start": 954.89, "end": 955.17, "word": " or", "probability": 0.95556640625}, {"start": 955.17, "end": 955.43, "word": " minus", "probability": 0.990234375}, {"start": 955.43, "end": 955.63, "word": " z", "probability": 0.77880859375}, {"start": 955.63, "end": 955.83, "word": " alpha", "probability": 0.904296875}, {"start": 955.83, "end": 956.13, "word": " over", "probability": 0.9189453125}, {"start": 956.13, "end": 956.47, "word": " 2.", "probability": 0.75634765625}, {"start": 957.99, "end": 958.49, "word": " Now", "probability": 0.95166015625}, {"start": 958.49, "end": 959.43, "word": " from", "probability": 0.3203125}, {"start": 959.43, "end": 959.71, "word": " the", "probability": 0.90771484375}, {"start": 959.71, "end": 960.49, "word": " information", "probability": 0.83447265625}, {"start": 960.49, "end": 960.81, "word": " from", "probability": 0.828125}, {"start": 960.81, "end": 961.13, "word": " chapter", "probability": 0.61572265625}, {"start": 961.13, "end": 961.67, "word": " 8,", "probability": 0.6279296875}, {"start": 962.95, "end": 963.19, "word": " the", "probability": 0.91259765625}, {"start": 963.19, "end": 963.55, "word": " standard", "probability": 0.92578125}, {"start": 963.55, "end": 963.89, "word": " error", "probability": 0.90625}, {"start": 963.89, "end": 964.15, "word": " of", "probability": 0.96533203125}, {"start": 964.15, "end": 964.29, "word": " the", "probability": 0.92138671875}, {"start": 964.29, "end": 964.85, "word": " difference,", "probability": 0.86669921875}, {"start": 965.53, "end": 965.81, "word": " b1", "probability": 0.96533203125}, {"start": 965.81, "end": 966.11, "word": " minus", "probability": 0.98583984375}, {"start": 966.11, "end": 966.29, "word": " pi", "probability": 0.432861328125}, {"start": 966.29, "end": 966.53, "word": " 2,", "probability": 0.98583984375}, {"start": 966.61, "end": 966.85, "word": " is", "probability": 0.94677734375}, {"start": 966.85, "end": 967.07, "word": " given", "probability": 0.890625}, {"start": 967.07, "end": 967.27, "word": " by", "probability": 0.96728515625}, {"start": 967.27, "end": 967.53, "word": " this", "probability": 0.94873046875}, {"start": 967.53, "end": 967.95, "word": " equation.", "probability": 0.97412109375}], "temperature": 1.0}, {"id": 38, "seek": 99099, "start": 969.11, "end": 990.99, "text": " B1 times 1 minus B1, so B1 and its complement, divided by the first sample size, plus the second sample proportion times its complement divided by the sample size of the second sample. So that's your confidence interval. 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So my decision is we don't reject at zero. So the same conclusion as we reached by using critical penalty. So again, by using B value, we have to compute the probability that your Z statistic falls in the rejection regions.", "tokens": [12313, 5044, 813, 1025, 8923, 370, 321, 500, 380, 8248, 527, 5215, 13, 407, 452, 3537, 307, 321, 500, 380, 8248, 412, 4018, 13, 407, 264, 912, 10063, 382, 321, 6488, 538, 1228, 4924, 16263, 13, 407, 797, 11, 538, 1228, 363, 2158, 11, 321, 362, 281, 14722, 264, 8482, 300, 428, 1176, 29588, 8804, 294, 264, 26044, 10682, 13], "avg_logprob": -0.2635758138093792, "compression_ratio": 1.516304347826087, "no_speech_prob": 0.0, "words": [{"start": 1176.03, "end": 1176.35, "word": " Much", "probability": 0.1524658203125}, {"start": 1176.35, "end": 1176.67, "word": " greater", "probability": 0.89208984375}, {"start": 1176.67, "end": 1176.91, "word": " than", "probability": 0.93701171875}, {"start": 1176.91, "end": 1177.65, "word": " 5%,", "probability": 0.5904541015625}, {"start": 1177.65, "end": 1177.97, "word": " so", "probability": 0.91162109375}, {"start": 1177.97, "end": 1178.13, "word": " we", "probability": 0.888671875}, {"start": 1178.13, "end": 1178.37, "word": " don't", "probability": 0.96435546875}, {"start": 1178.37, "end": 1178.73, "word": " reject", "probability": 0.8466796875}, {"start": 1178.73, "end": 1178.91, "word": " our", "probability": 0.1566162109375}, {"start": 1178.91, "end": 1179.19, "word": " analysis.", "probability": 0.1812744140625}, {"start": 1180.43, "end": 1180.85, "word": " So", "probability": 0.94189453125}, {"start": 1180.85, "end": 1181.17, "word": " my", "probability": 0.82958984375}, {"start": 1181.17, "end": 1182.55, "word": " decision", "probability": 0.86767578125}, {"start": 1182.55, "end": 1182.91, "word": " is", "probability": 0.94482421875}, {"start": 1182.91, "end": 1183.13, "word": " we", "probability": 0.70263671875}, {"start": 1183.13, "end": 1184.51, "word": " don't", "probability": 0.9677734375}, {"start": 1184.51, "end": 1186.51, "word": " reject", "probability": 0.8818359375}, {"start": 1186.51, "end": 1187.33, "word": " at", "probability": 0.3310546875}, {"start": 1187.33, "end": 1187.65, "word": " zero.", "probability": 0.6142578125}, {"start": 1187.81, "end": 1187.99, "word": " So", "probability": 0.95263671875}, {"start": 1187.99, "end": 1188.15, "word": " the", "probability": 0.8154296875}, {"start": 1188.15, "end": 1188.39, "word": " same", "probability": 0.892578125}, {"start": 1188.39, "end": 1188.89, "word": " conclusion", "probability": 0.91015625}, {"start": 1188.89, "end": 1189.21, "word": " as", "probability": 0.94384765625}, {"start": 1189.21, "end": 1189.49, "word": " we", "probability": 0.94384765625}, {"start": 1189.49, "end": 1190.93, "word": " reached", "probability": 0.7763671875}, {"start": 1190.93, "end": 1191.49, "word": " by", "probability": 0.96240234375}, {"start": 1191.49, "end": 1191.93, "word": " using", "probability": 0.92919921875}, {"start": 1191.93, "end": 1192.69, "word": " critical", "probability": 0.88671875}, {"start": 1192.69, "end": 1193.09, "word": " penalty.", "probability": 0.33203125}, {"start": 1195.31, "end": 1195.95, "word": " So", "probability": 0.94873046875}, {"start": 1195.95, "end": 1196.21, "word": " again,", "probability": 0.90380859375}, {"start": 1196.29, "end": 1196.41, "word": " by", "probability": 0.96923828125}, {"start": 1196.41, "end": 1196.71, "word": " using", "probability": 0.9306640625}, {"start": 1196.71, "end": 1196.93, "word": " B", "probability": 0.384033203125}, {"start": 1196.93, "end": 1197.27, "word": " value,", "probability": 0.90576171875}, {"start": 1197.45, "end": 1197.57, "word": " we", "probability": 0.8583984375}, {"start": 1197.57, "end": 1197.73, "word": " have", "probability": 0.9384765625}, {"start": 1197.73, "end": 1197.85, "word": " to", "probability": 0.96484375}, {"start": 1197.85, "end": 1198.35, "word": " compute", "probability": 0.91552734375}, {"start": 1198.35, "end": 1198.87, "word": " the", "probability": 0.90478515625}, {"start": 1198.87, "end": 1199.31, "word": " probability", "probability": 0.9599609375}, {"start": 1199.31, "end": 1199.73, "word": " that", "probability": 0.9384765625}, {"start": 1199.73, "end": 1199.97, "word": " your", "probability": 0.7314453125}, {"start": 1199.97, "end": 1200.11, "word": " Z", "probability": 0.77099609375}, {"start": 1200.11, "end": 1200.77, "word": " statistic", "probability": 0.78515625}, {"start": 1200.77, "end": 1201.31, "word": " falls", "probability": 0.81298828125}, {"start": 1201.31, "end": 1201.83, "word": " in", "probability": 0.923828125}, {"start": 1201.83, "end": 1201.99, "word": " the", "probability": 0.9130859375}, {"start": 1201.99, "end": 1202.31, "word": " rejection", "probability": 0.9677734375}, {"start": 1202.31, "end": 1202.89, "word": " regions.", "probability": 0.96826171875}], "temperature": 1.0}, {"id": 47, "seek": 122685, "start": 1204.42, "end": 1226.86, "text": " I end with this result, my B value is around 19%. As we mentioned before, we reject null hypothesis if my B value is smaller than alpha. Now, my B value in this case is much, much bigger than 5%, so my decision is don't reject null hypothesis. Any questions?", "tokens": [286, 917, 365, 341, 1874, 11, 452, 363, 2158, 307, 926, 1294, 6856, 1018, 321, 2835, 949, 11, 321, 8248, 18184, 17291, 498, 452, 363, 2158, 307, 4356, 813, 8961, 13, 823, 11, 452, 363, 2158, 294, 341, 1389, 307, 709, 11, 709, 3801, 813, 1025, 8923, 370, 452, 3537, 307, 500, 380, 8248, 18184, 17291, 13, 2639, 1651, 30], "avg_logprob": -0.21951844946282809, "compression_ratio": 1.532544378698225, "no_speech_prob": 0.0, "words": [{"start": 1204.42, "end": 1204.72, "word": " I", "probability": 0.794921875}, {"start": 1204.72, "end": 1204.98, "word": " end", "probability": 0.87109375}, {"start": 1204.98, "end": 1205.12, "word": " with", "probability": 0.86328125}, {"start": 1205.12, "end": 1205.32, "word": " this", "probability": 0.92333984375}, {"start": 1205.32, "end": 1205.7, "word": " result,", "probability": 0.89111328125}, {"start": 1205.94, "end": 1205.98, "word": " my", "probability": 0.94140625}, {"start": 1205.98, "end": 1206.1, "word": " B", "probability": 0.5205078125}, {"start": 1206.1, "end": 1206.42, "word": " value", "probability": 0.66162109375}, {"start": 1206.42, "end": 1206.72, "word": " is", "probability": 0.4423828125}, {"start": 1206.72, "end": 1207.56, "word": " around", "probability": 0.9287109375}, {"start": 1207.56, "end": 1208.5, "word": " 19%.", "probability": 0.803955078125}, {"start": 1208.5, "end": 1210.18, "word": " As", "probability": 0.95654296875}, {"start": 1210.18, "end": 1210.32, "word": " we", "probability": 0.92431640625}, {"start": 1210.32, "end": 1210.6, "word": " mentioned", "probability": 0.8173828125}, {"start": 1210.6, "end": 1211.06, "word": " before,", "probability": 0.8701171875}, {"start": 1211.74, "end": 1211.98, "word": " we", "probability": 0.9140625}, {"start": 1211.98, "end": 1212.36, "word": " reject", "probability": 0.8681640625}, {"start": 1212.36, "end": 1212.52, "word": " null", "probability": 0.3232421875}, {"start": 1212.52, "end": 1213.04, "word": " hypothesis", "probability": 0.447265625}, {"start": 1213.04, "end": 1213.46, "word": " if", "probability": 0.84814453125}, {"start": 1213.46, "end": 1213.64, "word": " my", "probability": 0.94921875}, {"start": 1213.64, "end": 1213.8, "word": " B", "probability": 0.9453125}, {"start": 1213.8, "end": 1214.02, "word": " value", "probability": 0.9345703125}, {"start": 1214.02, "end": 1214.18, "word": " is", "probability": 0.94970703125}, {"start": 1214.18, "end": 1214.42, "word": " smaller", "probability": 0.83056640625}, {"start": 1214.42, "end": 1214.7, "word": " than", "probability": 0.947265625}, {"start": 1214.7, "end": 1214.98, "word": " alpha.", "probability": 0.66064453125}, {"start": 1216.1, "end": 1216.48, "word": " Now,", "probability": 0.931640625}, {"start": 1216.8, "end": 1216.96, "word": " my", "probability": 0.96337890625}, {"start": 1216.96, "end": 1217.16, "word": " B", "probability": 0.98681640625}, {"start": 1217.16, "end": 1217.4, "word": " value", "probability": 0.9599609375}, {"start": 1217.4, "end": 1217.52, "word": " in", "probability": 0.89013671875}, {"start": 1217.52, "end": 1217.68, "word": " this", "probability": 0.9482421875}, {"start": 1217.68, "end": 1217.92, "word": " case", "probability": 0.91357421875}, {"start": 1217.92, "end": 1218.14, "word": " is", "probability": 0.93212890625}, {"start": 1218.14, "end": 1218.48, "word": " much,", "probability": 0.91455078125}, {"start": 1218.74, "end": 1219.14, "word": " much", "probability": 0.91357421875}, {"start": 1219.14, "end": 1219.44, "word": " bigger", "probability": 0.94287109375}, {"start": 1219.44, "end": 1219.86, "word": " than", "probability": 0.94140625}, {"start": 1219.86, "end": 1221.08, "word": " 5%,", "probability": 0.6556396484375}, {"start": 1221.08, "end": 1221.88, "word": " so", "probability": 0.9423828125}, {"start": 1221.88, "end": 1222.12, "word": " my", "probability": 0.95703125}, {"start": 1222.12, "end": 1222.44, "word": " decision", "probability": 0.927734375}, {"start": 1222.44, "end": 1222.74, "word": " is", "probability": 0.94140625}, {"start": 1222.74, "end": 1223.0, "word": " don't", "probability": 0.8310546875}, {"start": 1223.0, "end": 1223.36, "word": " reject", "probability": 0.94384765625}, {"start": 1223.36, "end": 1223.58, "word": " null", "probability": 0.55908203125}, {"start": 1223.58, "end": 1224.14, "word": " hypothesis.", "probability": 0.8427734375}, {"start": 1226.32, "end": 1226.56, "word": " Any", "probability": 0.54931640625}, {"start": 1226.56, "end": 1226.86, "word": " questions?", "probability": 0.50537109375}], "temperature": 1.0}, {"id": 48, "seek": 126522, "start": 1236.14, "end": 1265.22, "text": " The other approach, the third one, confidence interval approach. Now, for the confidence interval approach, we have this equation, b1 minus b2. Again, the point estimate, plus or minus z square root b1 times 1 minus b1 divided by a1.", "tokens": [440, 661, 3109, 11, 264, 2636, 472, 11, 6687, 15035, 3109, 13, 823, 11, 337, 264, 6687, 15035, 3109, 11, 321, 362, 341, 5367, 11, 272, 16, 3175, 272, 17, 13, 3764, 11, 264, 935, 12539, 11, 1804, 420, 3175, 710, 3732, 5593, 272, 16, 1413, 502, 3175, 272, 16, 6666, 538, 257, 16, 13], "avg_logprob": -0.21163504038538253, "compression_ratio": 1.5496688741721854, "no_speech_prob": 0.0, "words": [{"start": 1236.14, "end": 1236.44, "word": " The", "probability": 0.7587890625}, {"start": 1236.44, "end": 1236.72, "word": " other", "probability": 0.6962890625}, {"start": 1236.72, "end": 1237.34, "word": " approach,", "probability": 0.90966796875}, {"start": 1239.0, "end": 1239.16, "word": " the", "probability": 0.529296875}, {"start": 1239.16, "end": 1239.42, "word": " third", "probability": 0.9345703125}, {"start": 1239.42, "end": 1239.76, "word": " one,", "probability": 0.927734375}, {"start": 1240.58, "end": 1241.16, "word": " confidence", "probability": 0.88232421875}, {"start": 1241.16, "end": 1241.9, "word": " interval", "probability": 0.97705078125}, {"start": 1241.9, "end": 1242.52, "word": " approach.", "probability": 0.921875}, {"start": 1246.26, "end": 1247.02, "word": " Now,", "probability": 0.87939453125}, {"start": 1247.08, "end": 1247.2, "word": " for", "probability": 0.95166015625}, {"start": 1247.2, "end": 1247.34, "word": " the", "probability": 0.92041015625}, {"start": 1247.34, "end": 1247.8, "word": " confidence", "probability": 0.98193359375}, {"start": 1247.8, "end": 1248.14, "word": " interval", "probability": 0.9638671875}, {"start": 1248.14, "end": 1248.58, "word": " approach,", "probability": 0.93603515625}, {"start": 1248.64, "end": 1248.76, "word": " we", "probability": 0.95703125}, {"start": 1248.76, "end": 1248.98, "word": " have", "probability": 0.94384765625}, {"start": 1248.98, "end": 1249.22, "word": " this", "probability": 0.9501953125}, {"start": 1249.22, "end": 1249.8, "word": " equation,", "probability": 0.98046875}, {"start": 1250.58, "end": 1250.96, "word": " b1", "probability": 0.659912109375}, {"start": 1250.96, "end": 1252.58, "word": " minus", "probability": 0.9248046875}, {"start": 1252.58, "end": 1253.0, "word": " b2.", "probability": 0.95263671875}, {"start": 1253.22, "end": 1253.46, "word": " Again,", "probability": 0.384765625}, {"start": 1253.64, "end": 1253.72, "word": " the", "probability": 0.8466796875}, {"start": 1253.72, "end": 1253.96, "word": " point", "probability": 0.9541015625}, {"start": 1253.96, "end": 1254.52, "word": " estimate,", "probability": 0.8701171875}, {"start": 1255.78, "end": 1256.26, "word": " plus", "probability": 0.90234375}, {"start": 1256.26, "end": 1256.72, "word": " or", "probability": 0.9462890625}, {"start": 1256.72, "end": 1257.22, "word": " minus", "probability": 0.98486328125}, {"start": 1257.22, "end": 1257.98, "word": " z", "probability": 0.849609375}, {"start": 1257.98, "end": 1259.72, "word": " square", "probability": 0.5732421875}, {"start": 1259.72, "end": 1260.1, "word": " root", "probability": 0.9443359375}, {"start": 1260.1, "end": 1261.74, "word": " b1", "probability": 0.837890625}, {"start": 1261.74, "end": 1263.52, "word": " times", "probability": 0.8828125}, {"start": 1263.52, "end": 1263.76, "word": " 1", "probability": 0.94140625}, {"start": 1263.76, "end": 1264.06, "word": " minus", "probability": 0.98681640625}, {"start": 1264.06, "end": 1264.4, "word": " b1", "probability": 0.968505859375}, {"start": 1264.4, "end": 1264.68, "word": " divided", "probability": 0.76953125}, {"start": 1264.68, "end": 1264.84, "word": " by", "probability": 0.9638671875}, {"start": 1264.84, "end": 1265.22, "word": " a1.", "probability": 0.7149658203125}], "temperature": 1.0}, {"id": 49, "seek": 129129, "start": 1267.81, "end": 1291.29, "text": " B2 times 1 minus B2 divided by N2. Now we have B1 and B2, so 0.5 minus 0.62. That's your calculations from previous information we have. Plus or minus Z alpha over 2, the critical value again is 1.96 times", "tokens": [363, 17, 1413, 502, 3175, 363, 17, 6666, 538, 426, 17, 13, 823, 321, 362, 363, 16, 293, 363, 17, 11, 370, 1958, 13, 20, 3175, 1958, 13, 28052, 13, 663, 311, 428, 20448, 490, 3894, 1589, 321, 362, 13, 7721, 420, 3175, 1176, 8961, 670, 568, 11, 264, 4924, 2158, 797, 307, 502, 13, 22962, 1413], "avg_logprob": -0.160425649634723, "compression_ratio": 1.3205128205128205, "no_speech_prob": 0.0, "words": [{"start": 1267.81, "end": 1268.47, "word": " B2", "probability": 0.506591796875}, {"start": 1268.47, "end": 1268.89, "word": " times", "probability": 0.8759765625}, {"start": 1268.89, "end": 1269.15, "word": " 1", "probability": 0.82666015625}, {"start": 1269.15, "end": 1269.45, "word": " minus", "probability": 0.97265625}, {"start": 1269.45, "end": 1269.81, "word": " B2", "probability": 0.85205078125}, {"start": 1269.81, "end": 1270.09, "word": " divided", "probability": 0.732421875}, {"start": 1270.09, "end": 1270.63, "word": " by", "probability": 0.966796875}, {"start": 1270.63, "end": 1271.65, "word": " N2.", "probability": 0.787109375}, {"start": 1273.85, "end": 1274.51, "word": " Now", "probability": 0.9306640625}, {"start": 1274.51, "end": 1274.65, "word": " we", "probability": 0.7958984375}, {"start": 1274.65, "end": 1274.95, "word": " have", "probability": 0.9462890625}, {"start": 1274.95, "end": 1275.61, "word": " B1", "probability": 0.9501953125}, {"start": 1275.61, "end": 1276.95, "word": " and", "probability": 0.92333984375}, {"start": 1276.95, "end": 1277.29, "word": " B2,", "probability": 0.996826171875}, {"start": 1277.37, "end": 1277.51, "word": " so", "probability": 0.916015625}, {"start": 1277.51, "end": 1277.77, "word": " 0", "probability": 0.88427734375}, {"start": 1277.77, "end": 1278.15, "word": ".5", "probability": 0.9921875}, {"start": 1278.15, "end": 1278.59, "word": " minus", "probability": 0.98388671875}, {"start": 1278.59, "end": 1279.53, "word": " 0", "probability": 0.98291015625}, {"start": 1279.53, "end": 1279.99, "word": ".62.", "probability": 0.9853515625}, {"start": 1280.31, "end": 1280.73, "word": " That's", "probability": 0.943359375}, {"start": 1280.73, "end": 1281.11, "word": " your", "probability": 0.892578125}, {"start": 1281.11, "end": 1282.55, "word": " calculations", "probability": 0.8720703125}, {"start": 1282.55, "end": 1283.05, "word": " from", "probability": 0.87841796875}, {"start": 1283.05, "end": 1283.99, "word": " previous", "probability": 0.82666015625}, {"start": 1283.99, "end": 1284.93, "word": " information", "probability": 0.849609375}, {"start": 1284.93, "end": 1285.17, "word": " we", "probability": 0.9375}, {"start": 1285.17, "end": 1285.47, "word": " have.", "probability": 0.861328125}, {"start": 1286.29, "end": 1286.69, "word": " Plus", "probability": 0.9189453125}, {"start": 1286.69, "end": 1286.89, "word": " or", "probability": 0.9560546875}, {"start": 1286.89, "end": 1287.21, "word": " minus", "probability": 0.98681640625}, {"start": 1287.21, "end": 1287.41, "word": " Z", "probability": 0.69970703125}, {"start": 1287.41, "end": 1287.61, "word": " alpha", "probability": 0.859375}, {"start": 1287.61, "end": 1287.83, "word": " over", "probability": 0.9169921875}, {"start": 1287.83, "end": 1288.01, "word": " 2,", "probability": 0.88525390625}, {"start": 1288.09, "end": 1288.19, "word": " the", "probability": 0.9091796875}, {"start": 1288.19, "end": 1288.47, "word": " critical", "probability": 0.92578125}, {"start": 1288.47, "end": 1288.75, "word": " value", "probability": 0.97705078125}, {"start": 1288.75, "end": 1288.99, "word": " again", "probability": 0.88330078125}, {"start": 1288.99, "end": 1289.15, "word": " is", "probability": 0.92626953125}, {"start": 1289.15, "end": 1289.35, "word": " 1", "probability": 0.994140625}, {"start": 1289.35, "end": 1289.97, "word": ".96", "probability": 0.9951171875}, {"start": 1289.97, "end": 1291.29, "word": " times", "probability": 0.50634765625}], "temperature": 1.0}, {"id": 50, "seek": 132051, "start": 1292.69, "end": 1320.51, "text": " Square root of P1.5 times 1 minus 0.5 divided by N1 plus P2 62 percent times 1 minus P2 divided by N2. 0.5 minus 62 percent is negative 12 percent plus or minus the margin of error. This amount is again as we mentioned before is the margin of error is 0.177. 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That means we are 95% confident that the difference between the proportions of men who will vote yes for a position A and men", "tokens": [440, 2649, 1296, 264, 732, 32482, 4544, 1296, 3671, 1958, 13, 11871, 21, 293, 1958, 13, 13328, 22, 13, 663, 1355, 321, 366, 13420, 4, 6679, 300, 264, 2649, 1296, 264, 32482, 295, 1706, 567, 486, 4740, 2086, 337, 257, 2535, 316, 293, 1706], "avg_logprob": -0.1819444457689921, "compression_ratio": 1.4892086330935252, "no_speech_prob": 0.0, "words": [{"start": 1321.26, "end": 1321.48, "word": " The", "probability": 0.481689453125}, {"start": 1321.48, "end": 1321.9, "word": " difference", "probability": 0.8232421875}, {"start": 1321.9, "end": 1322.22, "word": " between", "probability": 0.85986328125}, {"start": 1322.22, "end": 1322.4, "word": " the", "probability": 0.9140625}, {"start": 1322.4, "end": 1322.56, "word": " two", "probability": 0.93212890625}, {"start": 1322.56, "end": 1323.3, "word": " proportions", "probability": 0.853515625}, {"start": 1323.3, "end": 1324.86, "word": " lie", "probability": 0.5859375}, {"start": 1324.86, "end": 1325.24, "word": " between", "probability": 0.8740234375}, {"start": 1325.24, "end": 1325.64, "word": " negative", "probability": 0.408203125}, {"start": 1325.64, "end": 1326.04, "word": " 0", "probability": 0.465576171875}, {"start": 1326.04, "end": 1327.0, "word": ".296", "probability": 0.9752604166666666}, {"start": 1327.0, "end": 1328.08, "word": " and", "probability": 0.91650390625}, {"start": 1328.08, "end": 1328.36, "word": " 0", "probability": 0.96337890625}, {"start": 1328.36, "end": 1329.04, "word": ".057.", "probability": 0.8221028645833334}, {"start": 1329.16, "end": 1329.48, "word": " That", "probability": 0.89697265625}, {"start": 1329.48, "end": 1329.82, "word": " means", "probability": 0.92529296875}, {"start": 1329.82, "end": 1330.54, "word": " we", "probability": 0.8310546875}, {"start": 1330.54, "end": 1330.92, "word": " are", "probability": 0.9443359375}, {"start": 1330.92, "end": 1331.48, "word": " 95", "probability": 0.9296875}, {"start": 1331.48, "end": 1331.98, "word": "%", "probability": 0.828125}, {"start": 1331.98, "end": 1332.54, "word": " confident", "probability": 0.97216796875}, {"start": 1332.54, "end": 1332.98, "word": " that", "probability": 0.92724609375}, {"start": 1332.98, "end": 1333.7, "word": " the", "probability": 0.908203125}, {"start": 1333.7, "end": 1334.08, "word": " difference", "probability": 0.85009765625}, {"start": 1334.08, "end": 1334.58, "word": " between", "probability": 0.86474609375}, {"start": 1334.58, "end": 1335.36, "word": " the", "probability": 0.9189453125}, {"start": 1335.36, "end": 1335.98, "word": " proportions", "probability": 0.818359375}, {"start": 1335.98, "end": 1336.6, "word": " of", "probability": 0.96728515625}, {"start": 1336.6, "end": 1336.92, "word": " men", "probability": 0.92431640625}, {"start": 1336.92, "end": 1337.2, "word": " who", "probability": 0.89501953125}, {"start": 1337.2, "end": 1337.48, "word": " will", "probability": 0.88134765625}, {"start": 1337.48, "end": 1337.8, "word": " vote", "probability": 0.91259765625}, {"start": 1337.8, "end": 1338.2, "word": " yes", "probability": 0.69189453125}, {"start": 1338.2, "end": 1339.0, "word": " for", "probability": 0.90087890625}, {"start": 1339.0, "end": 1339.1, "word": " a", "probability": 0.51708984375}, {"start": 1339.1, "end": 1339.46, "word": " position", "probability": 0.779296875}, {"start": 1339.46, "end": 1339.92, "word": " A", "probability": 0.6884765625}, {"start": 1339.92, "end": 1341.22, "word": " and", "probability": 0.70263671875}, {"start": 1341.22, "end": 1342.12, "word": " men", "probability": 0.9345703125}], "temperature": 1.0}, {"id": 52, "seek": 136802, "start": 1343.96, "end": 1368.02, "text": " equals negative 0.297 up to 0.057. Now the question is since we are testing it's zero by one minus by two equals zero the question is does this interval contain zero or capture zero? 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So zero inside the interval, I mean the confidence interval contains zero in this case, so we don't reject the null hypothesis because maybe the difference equals zero.", "tokens": [293, 917, 365, 3353, 11, 286, 914, 264, 3126, 5472, 307, 3671, 1958, 13, 11871, 22, 293, 264, 6597, 5472, 307, 1958, 13, 13328, 22, 13, 407, 4018, 1854, 264, 15035, 11, 286, 914, 264, 6687, 15035, 8306, 4018, 294, 341, 1389, 11, 370, 321, 500, 380, 8248, 264, 18184, 17291, 570, 1310, 264, 2649, 6915, 4018, 13], "avg_logprob": -0.21040783443693387, "compression_ratio": 1.5290697674418605, "no_speech_prob": 0.0, "words": [{"start": 1369.13, "end": 1369.51, "word": " and", "probability": 0.34375}, {"start": 1369.51, "end": 1369.75, "word": " end", "probability": 0.7158203125}, {"start": 1369.75, "end": 1369.93, "word": " with", "probability": 0.89111328125}, {"start": 1369.93, "end": 1370.35, "word": " positive,", "probability": 0.91455078125}, {"start": 1370.53, "end": 1370.61, "word": " I", "probability": 0.9580078125}, {"start": 1370.61, "end": 1370.79, "word": " mean", "probability": 0.9677734375}, {"start": 1370.79, "end": 1370.99, "word": " the", "probability": 0.67724609375}, {"start": 1370.99, "end": 1371.23, "word": " lower", "probability": 0.8642578125}, {"start": 1371.23, "end": 1371.61, "word": " bound", "probability": 0.896484375}, {"start": 1371.61, "end": 1371.81, "word": " is", "probability": 0.94384765625}, {"start": 1371.81, "end": 1372.23, "word": " negative", "probability": 0.69873046875}, {"start": 1372.23, "end": 1372.63, "word": " 0", "probability": 0.5126953125}, {"start": 1372.63, "end": 1373.51, "word": ".297", "probability": 0.92529296875}, {"start": 1373.51, "end": 1374.37, "word": " and", "probability": 0.69873046875}, {"start": 1374.37, "end": 1374.53, "word": " the", "probability": 0.50244140625}, {"start": 1374.53, "end": 1374.75, "word": " upper", "probability": 0.82666015625}, {"start": 1374.75, "end": 1375.03, "word": " bound", "probability": 0.84521484375}, {"start": 1375.03, "end": 1375.17, "word": " is", "probability": 0.87646484375}, {"start": 1375.17, "end": 1375.33, "word": " 0", "probability": 0.93994140625}, {"start": 1375.33, "end": 1376.27, "word": ".057.", "probability": 0.9612630208333334}, {"start": 1376.81, "end": 1377.33, "word": " So", "probability": 0.92529296875}, {"start": 1377.33, "end": 1377.83, "word": " zero", "probability": 0.5986328125}, {"start": 1377.83, "end": 1379.49, "word": " inside", "probability": 0.849609375}, {"start": 1379.49, "end": 1379.75, "word": " the", "probability": 0.91064453125}, {"start": 1379.75, "end": 1380.13, "word": " interval,", "probability": 0.98095703125}, {"start": 1380.25, "end": 1380.33, "word": " I", "probability": 0.98974609375}, {"start": 1380.33, "end": 1380.45, "word": " mean", "probability": 0.96142578125}, {"start": 1380.45, "end": 1380.61, "word": " the", "probability": 0.8310546875}, {"start": 1380.61, "end": 1381.07, "word": " confidence", "probability": 0.97900390625}, {"start": 1381.07, "end": 1381.59, "word": " interval", "probability": 0.978515625}, {"start": 1381.59, "end": 1382.73, "word": " contains", "probability": 0.82421875}, {"start": 1382.73, "end": 1383.07, "word": " zero", "probability": 0.86669921875}, {"start": 1383.07, "end": 1383.19, "word": " in", "probability": 0.927734375}, {"start": 1383.19, "end": 1383.41, "word": " this", "probability": 0.94677734375}, {"start": 1383.41, "end": 1383.67, "word": " case,", "probability": 0.9130859375}, {"start": 1383.79, "end": 1383.87, "word": " so", "probability": 0.93212890625}, {"start": 1383.87, "end": 1384.03, "word": " we", "probability": 0.94775390625}, {"start": 1384.03, "end": 1384.27, "word": " don't", "probability": 0.966064453125}, {"start": 1384.27, "end": 1384.61, "word": " reject", "probability": 0.91845703125}, {"start": 1384.61, "end": 1384.77, "word": " the", "probability": 0.308349609375}, {"start": 1384.77, "end": 1384.89, "word": " null", "probability": 0.98486328125}, {"start": 1384.89, "end": 1385.29, "word": " hypothesis", "probability": 0.93115234375}, {"start": 1385.29, "end": 1386.09, "word": " because", "probability": 0.366455078125}, {"start": 1386.09, "end": 1386.65, "word": " maybe", "probability": 0.9306640625}, {"start": 1386.65, "end": 1387.39, "word": " the", "probability": 0.900390625}, {"start": 1387.39, "end": 1387.83, "word": " difference", "probability": 0.880859375}, {"start": 1387.83, "end": 1388.17, "word": " equals", "probability": 0.89404296875}, {"start": 1388.17, "end": 1388.47, "word": " zero.", "probability": 0.8623046875}], "temperature": 1.0}, {"id": 54, "seek": 141702, "start": 1389.94, "end": 1417.02, "text": " So since this interval does contain the hypothesis difference zero, so we don't reject null hypothesis at 5% level. So the same conclusion as we got before by using critical value approach and de-value approach. So either one will end with the same decision. 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Do you have any question? Any question? So again, there are three different approaches in order to solve this problem. One is critical value approach, the standard one. The other two are the value approach and confidence interval. 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Because the confidence interval we have is just for two-tailed test, so it could be used only for testing about two-tailed test. As we mentioned before, I'm going to skip hypothesis for variances as well as ANOVA test. So that's all for chapter ten.", "tokens": [732, 12, 14430, 292, 1500, 13, 1436, 264, 6687, 15035, 321, 362, 307, 445, 337, 732, 12, 14430, 292, 1500, 11, 370, 309, 727, 312, 1143, 787, 337, 4997, 466, 732, 12, 14430, 292, 1500, 13, 1018, 321, 2835, 949, 11, 286, 478, 516, 281, 10023, 17291, 337, 1374, 21518, 382, 731, 382, 5252, 46, 20914, 1500, 13, 407, 300, 311, 439, 337, 7187, 2064, 13], "avg_logprob": -0.1898320846593202, "compression_ratio": 1.5257142857142858, "no_speech_prob": 0.0, "words": [{"start": 1448.77, "end": 1448.85, "word": " two", "probability": 0.15283203125}, {"start": 1448.85, "end": 1449.11, "word": "-tailed", "probability": 0.6897786458333334}, {"start": 1449.11, "end": 1449.35, "word": " test.", "probability": 0.7431640625}, {"start": 1451.55, "end": 1452.23, "word": " Because", "probability": 0.8857421875}, {"start": 1452.23, "end": 1452.41, "word": " the", "probability": 0.88818359375}, {"start": 1452.41, "end": 1452.79, "word": " confidence", "probability": 0.90185546875}, {"start": 1452.79, "end": 1453.11, "word": " interval", "probability": 0.943359375}, {"start": 1453.11, "end": 1453.33, "word": " we", "probability": 0.81787109375}, {"start": 1453.33, "end": 1453.57, "word": " have", "probability": 0.94189453125}, {"start": 1453.57, "end": 1453.81, "word": " is", "probability": 0.9072265625}, {"start": 1453.81, "end": 1454.09, "word": " just", "probability": 0.91796875}, {"start": 1454.09, "end": 1454.37, "word": " for", "probability": 0.93603515625}, {"start": 1454.37, "end": 1454.53, "word": " two", "probability": 0.92333984375}, {"start": 1454.53, "end": 1454.87, "word": "-tailed", "probability": 0.8883463541666666}, {"start": 1454.87, "end": 1455.17, "word": " test,", "probability": 0.6025390625}, {"start": 1455.37, "end": 1455.61, "word": " so", "probability": 0.93310546875}, {"start": 1455.61, "end": 1456.27, "word": " it", "probability": 0.6787109375}, {"start": 1456.27, "end": 1456.43, "word": " could", "probability": 0.884765625}, {"start": 1456.43, "end": 1456.61, "word": " be", "probability": 0.9443359375}, {"start": 1456.61, "end": 1457.01, "word": " used", "probability": 0.9111328125}, {"start": 1457.01, "end": 1458.15, "word": " only", "probability": 0.9248046875}, {"start": 1458.15, "end": 1458.49, "word": " for", "probability": 0.95458984375}, {"start": 1458.49, "end": 1458.95, "word": " testing", "probability": 0.87255859375}, {"start": 1458.95, "end": 1459.41, "word": " about", "probability": 0.9052734375}, {"start": 1459.41, "end": 1459.73, "word": " two", "probability": 0.91845703125}, {"start": 1459.73, "end": 1459.95, "word": "-tailed", "probability": 0.921875}, {"start": 1459.95, "end": 1460.21, "word": " test.", "probability": 0.8662109375}, {"start": 1463.35, "end": 1464.03, "word": " As", "probability": 0.9677734375}, {"start": 1464.03, "end": 1464.15, "word": " we", "probability": 0.93701171875}, {"start": 1464.15, "end": 1464.39, "word": " mentioned", "probability": 0.826171875}, {"start": 1464.39, "end": 1464.77, "word": " before,", "probability": 0.859375}, {"start": 1464.91, "end": 1465.17, "word": " I'm", "probability": 0.90771484375}, {"start": 1465.17, "end": 1465.39, "word": " going", "probability": 0.9482421875}, {"start": 1465.39, "end": 1465.59, "word": " to", "probability": 0.96630859375}, {"start": 1465.59, "end": 1465.99, "word": " skip", "probability": 0.98095703125}, {"start": 1465.99, "end": 1466.83, "word": " hypothesis", "probability": 0.80419921875}, {"start": 1466.83, "end": 1467.29, "word": " for", "probability": 0.931640625}, {"start": 1467.29, "end": 1467.77, "word": " variances", "probability": 0.890625}, {"start": 1467.77, "end": 1468.73, "word": " as", "probability": 0.59765625}, {"start": 1468.73, "end": 1468.95, "word": " well", "probability": 0.9345703125}, {"start": 1468.95, "end": 1469.47, "word": " as", "probability": 0.97216796875}, {"start": 1469.47, "end": 1469.93, "word": " ANOVA", "probability": 0.9200846354166666}, {"start": 1469.93, "end": 1471.23, "word": " test.", "probability": 0.6787109375}, {"start": 1471.97, "end": 1472.39, "word": " So", "probability": 0.955078125}, {"start": 1472.39, "end": 1472.75, "word": " that's", "probability": 0.923583984375}, {"start": 1472.75, "end": 1473.11, "word": " all", "probability": 0.9404296875}, {"start": 1473.11, "end": 1473.63, "word": " for", "probability": 0.94970703125}, {"start": 1473.63, "end": 1474.05, "word": " chapter", "probability": 0.5830078125}, {"start": 1474.05, "end": 1476.41, "word": " ten.", "probability": 0.489013671875}], "temperature": 1.0}, {"id": 57, "seek": 149527, "start": 1477.67, "end": 1495.27, "text": " But now I'm going to do some of the practice problems. Chapter 10. To practice, let's start with some practice problems for Chapter 10.", "tokens": [583, 586, 286, 478, 516, 281, 360, 512, 295, 264, 3124, 2740, 13, 18874, 1266, 13, 1407, 3124, 11, 718, 311, 722, 365, 512, 3124, 2740, 337, 18874, 1266, 13], "avg_logprob": -0.24067540803263265, "compression_ratio": 1.36, "no_speech_prob": 0.0, "words": [{"start": 1477.67, "end": 1478.01, "word": " But", "probability": 0.51953125}, {"start": 1478.01, "end": 1478.47, "word": " now", "probability": 0.8857421875}, {"start": 1478.47, "end": 1478.73, "word": " I'm", "probability": 0.645751953125}, {"start": 1478.73, "end": 1478.99, "word": " going", "probability": 0.94287109375}, {"start": 1478.99, "end": 1479.15, "word": " to", "probability": 0.9697265625}, {"start": 1479.15, "end": 1479.33, "word": " do", "probability": 0.9052734375}, {"start": 1479.33, "end": 1479.73, "word": " some", "probability": 0.912109375}, {"start": 1479.73, "end": 1481.63, "word": " of", "probability": 0.86865234375}, {"start": 1481.63, "end": 1481.89, "word": " the", "probability": 0.90771484375}, {"start": 1481.89, "end": 1482.39, "word": " practice", "probability": 0.92578125}, {"start": 1482.39, "end": 1483.73, "word": " problems.", "probability": 0.86572265625}, {"start": 1486.75, "end": 1487.23, "word": " Chapter", "probability": 0.88525390625}, {"start": 1487.23, "end": 1487.49, "word": " 10.", "probability": 0.783203125}, {"start": 1487.91, "end": 1488.17, "word": " To", "probability": 0.7705078125}, {"start": 1488.17, "end": 1488.77, "word": " practice,", "probability": 0.9091796875}, {"start": 1490.57, "end": 1491.09, "word": " let's", "probability": 0.954833984375}, {"start": 1491.09, "end": 1491.49, "word": " start", "probability": 0.923828125}, {"start": 1491.49, "end": 1491.87, "word": " with", "probability": 0.892578125}, {"start": 1491.87, "end": 1492.63, "word": " some", "probability": 0.89794921875}, {"start": 1492.63, "end": 1493.69, "word": " practice", "probability": 0.927734375}, {"start": 1493.69, "end": 1494.21, "word": " problems", "probability": 0.84228515625}, {"start": 1494.21, "end": 1494.51, "word": " for", "probability": 0.728515625}, {"start": 1494.51, "end": 1494.81, "word": " Chapter", "probability": 0.5498046875}, {"start": 1494.81, "end": 1495.27, "word": " 10.", "probability": 0.96630859375}], "temperature": 1.0}, {"id": 58, "seek": 152863, "start": 1499.27, "end": 1528.63, "text": " A few years ago, Pepsi invited consumers to take the Pepsi challenge. Consumers were asked to decide which of two sodas, Coke or Pepsi. They preferred an applied taste test. Pepsi was interested in determining what factors played a role in people's taste preferences. One of the factors studied was the gender of the consumer.", "tokens": [316, 1326, 924, 2057, 11, 42311, 9185, 11883, 281, 747, 264, 42311, 3430, 13, 6923, 449, 433, 645, 2351, 281, 4536, 597, 295, 732, 15047, 296, 11, 32996, 420, 42311, 13, 814, 16494, 364, 6456, 3939, 1500, 13, 42311, 390, 3102, 294, 23751, 437, 6771, 3737, 257, 3090, 294, 561, 311, 3939, 21910, 13, 1485, 295, 264, 6771, 9454, 390, 264, 7898, 295, 264, 9711, 13], "avg_logprob": -0.14552238138753976, "compression_ratio": 1.6029411764705883, "no_speech_prob": 0.0, "words": [{"start": 1499.27, "end": 1499.53, "word": " A", "probability": 0.953125}, {"start": 1499.53, "end": 1499.73, "word": " few", "probability": 0.9140625}, {"start": 1499.73, "end": 1499.93, "word": " years", "probability": 0.92529296875}, {"start": 1499.93, "end": 1500.45, "word": " ago,", "probability": 0.9033203125}, {"start": 1501.09, "end": 1501.21, "word": " Pepsi", "probability": 0.358154296875}, {"start": 1501.21, "end": 1501.73, "word": " 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"probability": 0.89404296875}, {"start": 1517.49, "end": 1517.69, "word": " Pepsi", "probability": 0.85888671875}, {"start": 1517.69, "end": 1517.93, "word": " was", "probability": 0.908203125}, {"start": 1517.93, "end": 1518.41, "word": " interested", "probability": 0.84619140625}, {"start": 1518.41, "end": 1518.73, "word": " in", "probability": 0.921875}, {"start": 1518.73, "end": 1519.31, "word": " determining", "probability": 0.9267578125}, {"start": 1519.31, "end": 1520.63, "word": " what", "probability": 0.92431640625}, {"start": 1520.63, "end": 1521.25, "word": " factors", "probability": 0.95458984375}, {"start": 1521.25, "end": 1521.67, "word": " played", "probability": 0.83447265625}, {"start": 1521.67, "end": 1521.93, "word": " a", "probability": 0.98193359375}, {"start": 1521.93, "end": 1522.19, "word": " role", "probability": 0.958984375}, {"start": 1522.19, "end": 1522.53, "word": " in", "probability": 0.94580078125}, {"start": 1522.53, "end": 1523.13, "word": " people's", 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For meals, size of 109. So that's your N1. And proportion.", "tokens": [36261, 366, 264, 3542, 295, 264, 5215, 15763, 264, 3939, 21910, 295, 1706, 293, 2266, 365, 264, 32482, 1367, 21490, 17502, 294, 420, 337, 42311, 13, 1171, 12832, 11, 2744, 295, 1266, 24, 13, 407, 300, 311, 428, 426, 16, 13, 400, 16068, 13], "avg_logprob": -0.2279513955116272, "compression_ratio": 1.385135135135135, "no_speech_prob": 0.0, "words": [{"start": 1529.65, "end": 1529.99, "word": " Below", "probability": 0.75439453125}, {"start": 1529.99, "end": 1530.19, "word": " are", "probability": 0.9052734375}, {"start": 1530.19, "end": 1530.35, "word": " the", "probability": 0.9033203125}, {"start": 1530.35, "end": 1530.79, "word": " results", "probability": 0.900390625}, {"start": 1530.79, "end": 1531.13, "word": " of", "probability": 0.94873046875}, {"start": 1531.13, "end": 1531.25, "word": " the", "probability": 0.8388671875}, {"start": 1531.25, "end": 1531.65, "word": " analysis", "probability": 0.86083984375}, {"start": 1531.65, "end": 1532.35, "word": " comparing", "probability": 0.87451171875}, {"start": 1532.35, "end": 1533.09, "word": " the", "probability": 0.9169921875}, {"start": 1533.09, "end": 1533.93, "word": " taste", "probability": 0.8046875}, {"start": 1533.93, "end": 1534.51, "word": " preferences", "probability": 0.91259765625}, {"start": 1534.51, "end": 1535.07, "word": " of", "probability": 0.96142578125}, {"start": 1535.07, "end": 1535.31, "word": " men", "probability": 0.935546875}, {"start": 1535.31, "end": 1535.49, "word": " and", "probability": 0.9404296875}, {"start": 1535.49, "end": 1535.81, "word": " women", "probability": 0.8994140625}, {"start": 1535.81, "end": 1536.63, "word": " with", "probability": 0.6865234375}, {"start": 1536.63, "end": 1536.87, "word": " the", "probability": 0.8935546875}, {"start": 1536.87, "end": 1537.71, "word": " proportions", "probability": 0.763671875}, {"start": 1537.71, "end": 1538.49, "word": " depicting", "probability": 0.84716796875}, {"start": 1538.49, "end": 1539.91, "word": " preference", "probability": 0.88671875}, {"start": 1539.91, "end": 1540.45, "word": " in", "probability": 0.68505859375}, {"start": 1540.45, "end": 1541.05, "word": " or", "probability": 0.59716796875}, {"start": 1541.05, "end": 1541.31, "word": " for", "probability": 0.9560546875}, {"start": 1541.31, "end": 1541.63, "word": " Pepsi.", "probability": 0.9384765625}, {"start": 1542.81, "end": 1543.53, "word": " For", "probability": 0.92138671875}, {"start": 1543.53, "end": 1543.99, "word": " meals,", "probability": 0.64453125}, {"start": 1545.99, "end": 1549.19, "word": " size", "probability": 0.634765625}, {"start": 1549.19, "end": 1551.87, "word": " of", "probability": 0.92578125}, {"start": 1551.87, "end": 1552.61, "word": " 109.", "probability": 0.86572265625}, {"start": 1553.41, "end": 1553.93, "word": " So", "probability": 0.9267578125}, {"start": 1553.93, "end": 1554.23, "word": " that's", "probability": 0.901611328125}, {"start": 1554.23, "end": 1554.43, "word": " your", "probability": 0.88427734375}, {"start": 1554.43, "end": 1554.79, "word": " N1.", "probability": 0.885986328125}, {"start": 1556.95, "end": 1557.45, "word": " And", "probability": 0.9384765625}, {"start": 1557.45, "end": 1557.99, "word": " proportion.", "probability": 0.5546875}], "temperature": 1.0}, {"id": 60, "seek": 158652, "start": 1560.48, "end": 1586.52, "text": " for males is around 4.2. For females, N2 equals 52, and proportion of females, 25%. 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And this statistic is given by 2.118, so approximately 2.12. 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A. B. Why B? Because the test defines between the new form A and the new form B. 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B. So that's incorrect. C. Why? Why C is the correct answer? 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So since we have difference here, it should be not equal to. And since we are talking about proportions, so you have to ignore A and B. So A and B should be ignored first. Then you either choose C or D. C is the correct answer. So C is the correct answer. That's for number one. 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Using the test statistic given, compute the appropriate p-value for the test. 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Now he asks about suppose the company wanted to test to determine if males prefer Pepsi more than females. Using again the statistic given which is 2.12 for example, compute appropriately value. 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So A is the correct answer. Now if the problem is two-tailed test, it should be multiplied by 2. So the answer, the correct should be B. So you have A and B.", "tokens": [6915, 1958, 293, 1614, 13, 407, 316, 307, 264, 3006, 1867, 13, 823, 498, 264, 1154, 307, 732, 12, 14430, 292, 1500, 11, 309, 820, 312, 17207, 538, 568, 13, 407, 264, 1867, 11, 264, 3006, 820, 312, 363, 13, 407, 291, 362, 316, 293, 363, 13], "avg_logprob": -0.24348957619319359, "compression_ratio": 1.359375, "no_speech_prob": 0.0, "words": [{"start": 1843.43, "end": 1843.99, "word": " equals", "probability": 0.338134765625}, {"start": 1843.99, "end": 1844.55, "word": " 0", "probability": 0.55517578125}, {"start": 1844.55, "end": 1844.73, "word": " and", "probability": 0.7109375}, {"start": 1844.73, "end": 1844.91, "word": " 7.", "probability": 0.90283203125}, {"start": 1846.03, "end": 1846.59, "word": " So", "probability": 0.89599609375}, {"start": 1846.59, "end": 1846.87, "word": " A", "probability": 0.4150390625}, {"start": 1846.87, "end": 1847.05, "word": " is", "probability": 0.95458984375}, {"start": 1847.05, "end": 1847.19, "word": " the", "probability": 0.916015625}, {"start": 1847.19, "end": 1847.45, "word": " correct", "probability": 0.8994140625}, {"start": 1847.45, "end": 1847.87, "word": " answer.", "probability": 0.9541015625}, {"start": 1849.27, "end": 1849.69, "word": " Now", "probability": 0.92041015625}, {"start": 1849.69, "end": 1849.89, "word": " if", "probability": 0.662109375}, {"start": 1849.89, "end": 1850.05, "word": " the", "probability": 0.90478515625}, {"start": 1850.05, "end": 1850.41, "word": " problem", "probability": 0.861328125}, {"start": 1850.41, "end": 1850.89, "word": " is", "probability": 0.9482421875}, {"start": 1850.89, "end": 1852.03, "word": " two", "probability": 0.52001953125}, {"start": 1852.03, "end": 1852.39, "word": "-tailed", "probability": 0.7342122395833334}, {"start": 1852.39, "end": 1852.63, "word": " test,", "probability": 0.8671875}, {"start": 1853.07, "end": 1853.67, "word": " it", "probability": 0.908203125}, {"start": 1853.67, "end": 1853.83, "word": " should", "probability": 0.96923828125}, {"start": 1853.83, "end": 1853.97, "word": " be", "probability": 0.9462890625}, {"start": 1853.97, "end": 1854.35, "word": " multiplied", "probability": 0.6650390625}, {"start": 1854.35, "end": 1854.69, "word": " by", "probability": 0.9697265625}, {"start": 1854.69, "end": 1854.99, "word": " 2.", "probability": 0.59326171875}, {"start": 1855.97, "end": 1856.21, "word": " So", "probability": 0.94580078125}, {"start": 1856.21, "end": 1856.37, "word": " the", "probability": 0.90576171875}, {"start": 1856.37, "end": 1856.67, "word": " answer,", "probability": 0.79931640625}, {"start": 1856.89, "end": 1856.99, "word": " the", "probability": 0.90771484375}, {"start": 1856.99, "end": 1857.23, "word": " correct", "probability": 0.9140625}, {"start": 1857.23, "end": 1857.45, "word": " should", "probability": 0.70556640625}, {"start": 1857.45, "end": 1857.77, "word": " be", "probability": 0.93798828125}, {"start": 1857.77, "end": 1858.39, "word": " B.", "probability": 0.92529296875}, {"start": 1859.43, "end": 1859.75, "word": " So", "probability": 0.947265625}, {"start": 1859.75, "end": 1859.85, "word": " you", "probability": 0.5966796875}, {"start": 1859.85, "end": 1860.03, "word": " have", "probability": 0.947265625}, {"start": 1860.03, "end": 1860.21, "word": " A", "probability": 0.4970703125}, {"start": 1860.21, "end": 1860.43, "word": " and", "probability": 0.9501953125}, {"start": 1860.43, "end": 1860.69, "word": " B.", "probability": 0.9990234375}], "temperature": 1.0}, {"id": 71, "seek": 188859, "start": 1861.33, "end": 1888.59, "text": " If it is one-third, your correct answer is A. If it is two-thirds, I mean if we are testing to determine if a difference exists, then you have to multiply this one by two. So that's your B value. Any question? Number three. 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"temperature": 1.0}, {"id": 72, "seek": 191805, "start": 1889.51, "end": 1918.05, "text": " If males prefer Pepsi less than females, using the statistic given, compute the product B value. Now, H1 in this case, B1 is smaller than Z by 2, by 1 smaller than 1. Now your B value, Z is smaller than, because here it is smaller than my statistic 2.12.", "tokens": [759, 20776, 4382, 42311, 1570, 813, 21529, 11, 1228, 264, 29588, 2212, 11, 14722, 264, 1674, 363, 2158, 13, 823, 11, 389, 16, 294, 341, 1389, 11, 363, 16, 307, 4356, 813, 1176, 538, 568, 11, 538, 502, 4356, 813, 502, 13, 823, 428, 363, 2158, 11, 1176, 307, 4356, 813, 11, 570, 510, 309, 307, 4356, 813, 452, 29588, 568, 13, 4762, 13], "avg_logprob": -0.40024038461538464, "compression_ratio": 1.6037735849056605, "no_speech_prob": 0.0, "words": [{"start": 1889.51, "end": 1890.13, "word": " If", "probability": 0.029510498046875}, {"start": 1890.13, "end": 1890.65, "word": " males", "probability": 0.880859375}, {"start": 1890.65, "end": 1891.53, "word": " prefer", "probability": 0.798828125}, {"start": 1891.53, "end": 1892.17, "word": " Pepsi", "probability": 0.751953125}, {"start": 1892.17, "end": 1892.75, "word": " less", "probability": 0.86474609375}, {"start": 1892.75, "end": 1893.23, "word": " than", "probability": 0.931640625}, {"start": 1893.23, "end": 1894.31, "word": " females,", "probability": 0.888671875}, {"start": 1894.81, "end": 1895.15, "word": " using", "probability": 0.7333984375}, {"start": 1895.15, "end": 1895.35, "word": " the", "probability": 0.4794921875}, {"start": 1895.35, "end": 1895.73, "word": " statistic", "probability": 0.37548828125}, {"start": 1895.73, "end": 1896.27, "word": " given,", "probability": 0.81982421875}, {"start": 1896.39, "end": 1896.63, "word": " compute", "probability": 0.7685546875}, {"start": 1896.63, "end": 1896.81, "word": " the", "probability": 0.87158203125}, {"start": 1896.81, "end": 1897.01, "word": " product", "probability": 0.1793212890625}, {"start": 1897.01, "end": 1897.17, "word": " B", "probability": 0.425048828125}, {"start": 1897.17, "end": 1897.43, "word": " value.", "probability": 0.54296875}, {"start": 1899.29, "end": 1899.55, "word": " Now,", "probability": 0.86181640625}, {"start": 1899.65, "end": 1900.19, "word": " H1", "probability": 0.7451171875}, {"start": 1900.19, "end": 1900.37, "word": " in", "probability": 0.81640625}, {"start": 1900.37, "end": 1900.57, "word": " this", "probability": 0.95068359375}, {"start": 1900.57, "end": 1901.05, "word": " case,", "probability": 0.91943359375}, {"start": 1902.27, "end": 1902.71, "word": " B1", "probability": 0.811767578125}, {"start": 1902.71, "end": 1902.99, "word": " is", "probability": 0.55712890625}, {"start": 1902.99, "end": 1903.37, "word": " smaller", "probability": 0.87158203125}, {"start": 1903.37, "end": 1903.93, "word": " than", "probability": 0.890625}, {"start": 1903.93, "end": 1904.27, "word": " Z", "probability": 0.169189453125}, {"start": 1904.27, "end": 1905.25, "word": " by", "probability": 0.765625}, {"start": 1905.25, "end": 1906.11, "word": " 2,", "probability": 0.7109375}, {"start": 1906.31, "end": 1906.49, "word": " by", "probability": 0.828125}, {"start": 1906.49, "end": 1906.69, "word": " 1", "probability": 0.72607421875}, {"start": 1906.69, "end": 1907.05, "word": " smaller", "probability": 0.55419921875}, {"start": 1907.05, "end": 1907.31, "word": " than", "probability": 0.94677734375}, {"start": 1907.31, "end": 1907.53, "word": " 1.", "probability": 0.890625}, {"start": 1907.95, "end": 1908.23, "word": " Now", "probability": 0.89892578125}, {"start": 1908.23, "end": 1908.49, "word": " your", "probability": 0.52783203125}, {"start": 1908.49, "end": 1908.69, "word": " B", "probability": 0.9716796875}, {"start": 1908.69, "end": 1909.09, "word": " value,", "probability": 0.96044921875}, {"start": 1910.57, "end": 1910.81, "word": " Z", "probability": 0.95263671875}, {"start": 1910.81, "end": 1912.89, "word": " is", "probability": 0.58935546875}, {"start": 1912.89, "end": 1913.33, "word": " smaller", "probability": 0.8671875}, {"start": 1913.33, "end": 1913.75, "word": " than,", "probability": 0.9296875}, {"start": 1913.79, "end": 1914.07, "word": " because", "probability": 0.8330078125}, {"start": 1914.07, "end": 1914.29, "word": " here", "probability": 0.68017578125}, {"start": 1914.29, "end": 1914.49, "word": " it", "probability": 0.332763671875}, {"start": 1914.49, "end": 1914.49, "word": " is", "probability": 0.5400390625}, {"start": 1914.49, "end": 1914.87, "word": " smaller", "probability": 0.8681640625}, {"start": 1914.87, "end": 1915.31, "word": " than", "probability": 0.9306640625}, {"start": 1915.31, "end": 1916.45, "word": " my", "probability": 0.68798828125}, {"start": 1916.45, "end": 1917.15, "word": " statistic", "probability": 0.875}, {"start": 1917.15, "end": 1917.51, "word": " 2", "probability": 0.8388671875}, {"start": 1917.51, "end": 1918.05, "word": ".12.", "probability": 0.977783203125}], "temperature": 1.0}, {"id": 73, "seek": 194827, "start": 1921.57, "end": 1948.27, "text": " We don't write negative sign. Because the value of the statistic is 2.12. But here we are going to test lower tail test. So my B value is B of Z smaller than. So smaller comes from the alternator. This is the sign under the alternator. And you have to take the value of the Z statistic as it is. 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Suppose that the two-tailed B value was really 0734. Now suppose my B value for two-tailed is 0734. That's for two-tailed. This is my B value. This is my B value.", "tokens": [823, 337, 1365, 11, 2870, 264, 1589, 321, 362, 370, 1400, 337, 363, 2158, 13, 21360, 300, 264, 732, 12, 14430, 292, 363, 2158, 390, 534, 1958, 22, 12249, 13, 823, 7297, 452, 363, 2158, 337, 732, 12, 14430, 292, 307, 1958, 22, 12249, 13, 663, 311, 337, 732, 12, 14430, 292, 13, 639, 307, 452, 363, 2158, 13, 639, 307, 452, 363, 2158, 13], "avg_logprob": -0.2440814459414193, "compression_ratio": 1.6618705035971224, "no_speech_prob": 0.0, "words": [{"start": 1980.2299999999998, "end": 1980.87, "word": " Now", "probability": 0.08782958984375}, {"start": 1980.87, "end": 1981.21, "word": " for", "probability": 0.546875}, {"start": 1981.21, "end": 1981.67, "word": " example,", "probability": 0.95849609375}, {"start": 1982.43, "end": 1982.77, "word": " forget", "probability": 0.80517578125}, {"start": 1982.77, "end": 1982.99, "word": " the", "probability": 0.8046875}, {"start": 1982.99, "end": 1983.39, "word": " information", "probability": 0.79345703125}, {"start": 1983.39, "end": 1983.65, "word": " we", "probability": 0.83056640625}, {"start": 1983.65, "end": 1983.91, "word": " have", "probability": 0.8388671875}, {"start": 1983.91, "end": 1984.29, "word": " so", "probability": 0.77783203125}, {"start": 1984.29, "end": 1984.61, "word": " far", "probability": 0.94775390625}, {"start": 1984.61, "end": 1984.91, "word": " for", "probability": 0.69677734375}, {"start": 1984.91, "end": 1985.09, "word": " B", "probability": 0.492431640625}, {"start": 1985.09, "end": 1985.47, "word": " value.", "probability": 0.79443359375}, {"start": 1985.95, "end": 1986.39, "word": " Suppose", "probability": 0.7236328125}, {"start": 1986.39, "end": 1986.81, "word": " that", "probability": 0.91162109375}, {"start": 1986.81, "end": 1987.15, "word": " the", "probability": 0.74853515625}, {"start": 1987.15, "end": 1987.39, "word": " two", "probability": 0.303466796875}, {"start": 1987.39, "end": 1987.77, "word": "-tailed", "probability": 0.6593424479166666}, {"start": 1987.77, "end": 1987.91, "word": " B", "probability": 0.865234375}, {"start": 1987.91, "end": 1988.23, "word": " value", "probability": 0.91455078125}, {"start": 1988.23, "end": 1988.55, "word": " was", "probability": 0.86279296875}, {"start": 1988.55, "end": 1988.95, "word": " really", "probability": 0.84130859375}, {"start": 1988.95, "end": 1990.17, "word": " 0734.", "probability": 0.732177734375}, {"start": 1990.79, "end": 1991.07, "word": " Now", "probability": 0.9306640625}, {"start": 1991.07, "end": 1991.49, "word": " suppose", "probability": 0.76220703125}, {"start": 1991.49, "end": 1991.69, "word": " my", "probability": 0.93701171875}, {"start": 1991.69, "end": 1991.91, "word": " B", "probability": 0.96728515625}, {"start": 1991.91, "end": 1992.25, "word": " value", "probability": 0.95751953125}, {"start": 1992.25, "end": 1992.57, "word": " for", "probability": 0.9365234375}, {"start": 1992.57, "end": 1992.83, "word": " two", "probability": 0.896484375}, {"start": 1992.83, "end": 1994.35, "word": "-tailed", "probability": 0.92822265625}, {"start": 1994.35, "end": 1995.03, "word": " is", "probability": 0.73486328125}, {"start": 1995.03, "end": 1996.45, "word": " 0734.", "probability": 0.9519856770833334}, {"start": 1996.63, "end": 1996.95, "word": " That's", "probability": 0.904296875}, {"start": 1996.95, "end": 1997.29, "word": " for", "probability": 0.810546875}, {"start": 1997.29, "end": 1999.01, "word": " two", "probability": 0.8984375}, {"start": 1999.01, "end": 1999.31, "word": "-tailed.", "probability": 0.9130859375}, {"start": 1999.35, "end": 1999.49, "word": " This", "probability": 0.591796875}, {"start": 1999.49, "end": 1999.55, "word": " is", "probability": 0.9443359375}, {"start": 1999.55, "end": 1999.69, "word": " my", "probability": 0.96923828125}, {"start": 1999.69, "end": 1999.89, "word": " B", "probability": 0.98681640625}, {"start": 1999.89, "end": 2000.21, "word": " value.", "probability": 0.9599609375}, {"start": 2003.07, "end": 2003.71, "word": " This", "probability": 0.87255859375}, {"start": 2003.71, "end": 2003.85, "word": " is", "probability": 0.95166015625}, {"start": 2003.85, "end": 2004.01, "word": " my", "probability": 0.97021484375}, {"start": 2004.01, "end": 2004.23, "word": " B", "probability": 0.9951171875}, {"start": 2004.23, "end": 2004.51, "word": " value.", "probability": 0.9765625}], "temperature": 1.0}, {"id": 76, "seek": 202949, "start": 2005.39, "end": 2029.49, "text": " It's 0, 7, 3, 4. Now we have four answers. Part A, B, C, and D. Which one is the correct? A says at 5% level, there is sufficient evidence to conclude the proportion of males", "tokens": [467, 311, 1958, 11, 1614, 11, 805, 11, 1017, 13, 823, 321, 362, 1451, 6338, 13, 4100, 316, 11, 363, 11, 383, 11, 293, 413, 13, 3013, 472, 307, 264, 3006, 30, 316, 1619, 412, 1025, 4, 1496, 11, 456, 307, 11563, 4467, 281, 16886, 264, 16068, 295, 20776], "avg_logprob": -0.28687499463558197, "compression_ratio": 1.2237762237762237, "no_speech_prob": 0.0, "words": [{"start": 2005.39, "end": 2005.79, "word": " It's", "probability": 0.39892578125}, {"start": 2005.79, "end": 2006.03, "word": " 0,", "probability": 0.72607421875}, {"start": 2006.11, "end": 2006.27, "word": " 7,", "probability": 0.357177734375}, {"start": 2006.39, "end": 2006.59, "word": " 3,", "probability": 0.98095703125}, {"start": 2006.67, "end": 2006.97, "word": " 4.", "probability": 0.95458984375}, {"start": 2007.77, "end": 2008.05, "word": " Now", "probability": 0.90087890625}, {"start": 2008.05, "end": 2008.27, "word": " we", "probability": 0.751953125}, {"start": 2008.27, "end": 2008.49, "word": " have", "probability": 0.94482421875}, {"start": 2008.49, "end": 2008.87, "word": " four", "probability": 0.70654296875}, {"start": 2008.87, "end": 2009.51, "word": " answers.", "probability": 0.88427734375}, {"start": 2009.97, "end": 2010.17, "word": " Part", "probability": 0.90478515625}, {"start": 2010.17, "end": 2010.47, "word": " A,", "probability": 0.73095703125}, {"start": 2011.29, "end": 2011.93, "word": " B,", "probability": 0.9755859375}, {"start": 2012.23, "end": 2012.45, "word": " C,", "probability": 0.984375}, {"start": 2012.65, "end": 2012.77, "word": " and", "probability": 0.892578125}, {"start": 2012.77, "end": 2012.93, "word": " D.", "probability": 0.9970703125}, {"start": 2013.07, "end": 2013.27, "word": " Which", "probability": 0.88330078125}, {"start": 2013.27, "end": 2013.49, "word": " one", "probability": 0.92919921875}, {"start": 2013.49, "end": 2013.65, "word": " is", "probability": 0.94921875}, {"start": 2013.65, "end": 2013.77, "word": " the", "probability": 0.501953125}, {"start": 2013.77, "end": 2014.05, "word": " correct?", "probability": 0.900390625}, {"start": 2022.03, "end": 2022.61, "word": " A", "probability": 0.6923828125}, {"start": 2022.61, "end": 2022.91, "word": " says", "probability": 0.6689453125}, {"start": 2022.91, "end": 2023.27, "word": " at", "probability": 0.5859375}, {"start": 2023.27, "end": 2023.59, "word": " 5", "probability": 0.67529296875}, {"start": 2023.59, "end": 2023.89, "word": "%", "probability": 0.82470703125}, {"start": 2023.89, "end": 2024.39, "word": " level,", "probability": 0.939453125}, {"start": 2025.01, "end": 2025.29, "word": " there", "probability": 0.88330078125}, {"start": 2025.29, "end": 2025.51, "word": " is", "probability": 0.880859375}, {"start": 2025.51, "end": 2026.07, "word": " sufficient", "probability": 0.89404296875}, {"start": 2026.07, "end": 2026.61, "word": " evidence", "probability": 0.95947265625}, {"start": 2026.61, "end": 2026.85, "word": " to", "probability": 0.9521484375}, {"start": 2026.85, "end": 2027.35, "word": " conclude", "probability": 0.83349609375}, {"start": 2027.35, "end": 2028.39, "word": " the", "probability": 0.85888671875}, {"start": 2028.39, "end": 2028.83, "word": " proportion", "probability": 0.78955078125}, {"start": 2028.83, "end": 2029.09, "word": " of", "probability": 0.97216796875}, {"start": 2029.09, "end": 2029.49, "word": " males", "probability": 0.93505859375}], "temperature": 1.0}, {"id": 77, "seek": 205753, "start": 2030.77, "end": 2057.53, "text": " Preferring Pepsi differs from the proportion of females preferring Pepsi. Which one is the correct answer? B value is 0.734. B it says at alpha equals 10 percent. There is sufficient evidence.", "tokens": [48401, 2937, 42311, 37761, 490, 264, 16068, 295, 21529, 4382, 2937, 42311, 13, 3013, 472, 307, 264, 3006, 1867, 30, 363, 2158, 307, 1958, 13, 22, 12249, 13, 363, 309, 1619, 412, 8961, 6915, 1266, 3043, 13, 821, 307, 11563, 4467, 13], "avg_logprob": -0.2906976716462956, "compression_ratio": 1.3591549295774648, "no_speech_prob": 0.0, "words": [{"start": 2030.77, "end": 2031.51, "word": " Preferring", "probability": 0.7025146484375}, {"start": 2031.51, "end": 2031.83, "word": " Pepsi", "probability": 0.775390625}, {"start": 2031.83, "end": 2032.21, "word": " differs", "probability": 0.9345703125}, {"start": 2032.21, "end": 2032.83, "word": " from", "probability": 0.8701171875}, {"start": 2032.83, "end": 2033.01, "word": " the", "probability": 0.8095703125}, {"start": 2033.01, "end": 2033.41, "word": " proportion", "probability": 0.740234375}, {"start": 2033.41, "end": 2033.65, "word": " of", "probability": 0.3681640625}, {"start": 2033.65, "end": 2033.93, "word": " females", "probability": 0.8779296875}, {"start": 2033.93, "end": 2034.59, "word": " preferring", "probability": 0.9150390625}, {"start": 2034.59, "end": 2034.95, "word": " Pepsi.", "probability": 0.85205078125}, {"start": 2037.07, "end": 2037.87, "word": " Which", "probability": 0.7548828125}, {"start": 2037.87, "end": 2038.05, "word": " one", "probability": 0.88427734375}, {"start": 2038.05, "end": 2038.15, "word": " is", "probability": 0.869140625}, {"start": 2038.15, "end": 2038.29, "word": " the", "probability": 0.9013671875}, {"start": 2038.29, "end": 2038.57, "word": " correct", "probability": 0.88623046875}, {"start": 2038.57, "end": 2038.97, "word": " answer?", "probability": 0.9580078125}, {"start": 2042.29, "end": 2043.09, "word": " B", "probability": 0.630859375}, {"start": 2043.09, "end": 2043.39, "word": " value", "probability": 0.8095703125}, {"start": 2043.39, "end": 2043.59, "word": " is", "probability": 0.91455078125}, {"start": 2043.59, "end": 2043.81, "word": " 0", "probability": 0.8623046875}, {"start": 2043.81, "end": 2044.55, "word": ".734.", "probability": 0.8001302083333334}, {"start": 2050.37, "end": 2050.85, "word": " B", "probability": 0.7744140625}, {"start": 2050.85, "end": 2051.07, "word": " it", "probability": 0.638671875}, {"start": 2051.07, "end": 2051.47, "word": " says", "probability": 0.88330078125}, {"start": 2051.47, "end": 2052.51, "word": " at", "probability": 0.481689453125}, {"start": 2052.51, "end": 2053.39, "word": " alpha", "probability": 0.53125}, {"start": 2053.39, "end": 2053.71, "word": " equals", "probability": 0.385498046875}, {"start": 2053.71, "end": 2053.99, "word": " 10", "probability": 0.76708984375}, {"start": 2053.99, "end": 2054.47, "word": " percent.", "probability": 0.36865234375}, {"start": 2055.87, "end": 2056.49, "word": " There", "probability": 0.74755859375}, {"start": 2056.49, "end": 2056.65, "word": " is", "probability": 0.92041015625}, {"start": 2056.65, "end": 2057.13, "word": " sufficient", "probability": 0.89501953125}, {"start": 2057.13, "end": 2057.53, "word": " evidence.", "probability": 0.95849609375}], "temperature": 1.0}, {"id": 78, "seek": 208296, "start": 2058.44, "end": 2082.96, "text": " to indicate the proportion of males preferring Pepsi differs from the proportion of females preferring Pepsi. C. At 5%, there is sufficient evidence to indicate the proportion of males preferring Pepsi equals the proportion of females preferring Pepsi. D. 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Again, suppose that here it's two-tailed test. It says two-tailed test. Two-tailed means Y1 does not equal Y2. 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So which one is the correct answer? B? D. Let's look at D. Let's look at D. 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So that's incorrect. B. At five, at 10% now, there is sufficient evidence. Sufficient means we reject. 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So we reject. That means you have to read carefully. There is sufficient evidence to include, to indicate the proportion of males preferring Pepsi differs from the proportion of females. That's correct. So B is the correct state. 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Now for D, we reject null hypothesis at 8%. Since this value 0.7 is smaller than alpha, so we reject. So this is incorrect. Now for C, be careful. At 5%, if this, if we change this one little bit, there is insufficient evidence. What do you think? 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You cannot say equal because this one maybe yes maybe no you don't know the exact answer. 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Don't reject the zero does not imply if zero is true. It means the evidence, the data you have is not sufficient to support the alternative evidence. 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So V is the correct answer. Six, seven, and eight. Construct 90% confidence interval, construct 95, construct 99. 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The last one is the widest because here 99 is the largest continence limit. So that means the width of the interval is the largest in this case. 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Simple calculation will give the confidence interval for each one. My question was, which one is the widest confidence interval? 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Corporation randomly selects 150 salespeople and finds that 66% who have never taken self-improvement course would like such a course. 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So in the past, into 160, and proportion is 60%. 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So suppose Pi 1 and Pi 2. Pi 1 for recent study and Pi 2 for the past study. So that's the question. 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Which is the correct? A is the correct answer. Why A is the correct answer? 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So A is the correct answer. Now B is incorrect because why B is incorrect? Exactly because under H0 we have pi 1 minus pi 2 does not equal 0. Always equal sign appears only under the null hypothesis. So it's the opposite here. 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This sign null hypothesis states incorrectly, because under H0 should have equal sign, and for alternate it should be not equal to. 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C is the correct answer. Because it says a greater proportion of workers work currently. So by one, greater than by two. So C is the correct answer. 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So it means by one is greater than by two. It means by one minus by two is positive. So the alternative is by one minus two by two is positive. So this one is the correct answer. Exactly. If if here we have what in the past should be it should be the correct answer.", "tokens": [682, 264, 1791, 13, 407, 309, 1355, 538, 472, 307, 5044, 813, 538, 732, 13, 467, 1355, 538, 472, 3175, 538, 732, 307, 3353, 13, 407, 264, 8535, 307, 538, 472, 3175, 732, 538, 732, 307, 3353, 13, 407, 341, 472, 307, 264, 3006, 1867, 13, 7587, 13, 759, 498, 510, 321, 362, 437, 294, 264, 1791, 820, 312, 309, 820, 312, 264, 3006, 1867, 13], "avg_logprob": -0.21653451759423784, "compression_ratio": 1.9047619047619047, "no_speech_prob": 0.0, "words": [{"start": 2821.73, "end": 2822.09, "word": " In", "probability": 0.5361328125}, {"start": 2822.09, "end": 2822.25, "word": " the", "probability": 0.92236328125}, {"start": 2822.25, "end": 2822.55, "word": " past.", "probability": 0.919921875}, {"start": 2822.91, "end": 2823.09, "word": " So", "probability": 0.884765625}, {"start": 2823.09, "end": 2823.55, "word": " it", "probability": 0.63232421875}, {"start": 2823.55, "end": 2823.77, "word": " means", 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"word": " should", "probability": 0.8056640625}, {"start": 2849.41, "end": 2849.57, "word": " be", "probability": 0.9482421875}, {"start": 2849.57, "end": 2849.75, "word": " the", "probability": 0.89892578125}, {"start": 2849.75, "end": 2850.01, "word": " correct", "probability": 0.91650390625}, {"start": 2850.01, "end": 2850.43, "word": " answer.", "probability": 0.95361328125}], "temperature": 1.0}, {"id": 107, "seek": 287441, "start": 2854.69, "end": 2874.41, "text": " That's to three. Any question for going to number three? Any question for number two? Three. What is the unbiased point estimate for the difference between the two population proportions?", "tokens": [663, 311, 281, 1045, 13, 2639, 1168, 337, 516, 281, 1230, 1045, 30, 2639, 1168, 337, 1230, 732, 30, 6244, 13, 708, 307, 264, 517, 5614, 1937, 935, 12539, 337, 264, 2649, 1296, 264, 732, 4415, 32482, 30], "avg_logprob": -0.18199118131246322, "compression_ratio": 1.46875, "no_speech_prob": 0.0, "words": [{"start": 2854.69, "end": 2855.27, "word": " That's", "probability": 0.711181640625}, {"start": 2855.27, "end": 2855.63, "word": " to", "probability": 0.397216796875}, {"start": 2855.63, "end": 2856.35, "word": " three.", "probability": 0.6982421875}, {"start": 2857.43, "end": 2857.79, "word": " Any", "probability": 0.90966796875}, {"start": 2857.79, "end": 2858.17, "word": " question", "probability": 0.640625}, {"start": 2858.17, "end": 2858.59, "word": " for", "probability": 0.578125}, {"start": 2858.59, "end": 2859.75, "word": " going", "probability": 0.81787109375}, {"start": 2859.75, "end": 2860.01, "word": " to", "probability": 0.9599609375}, {"start": 2860.01, "end": 2860.45, "word": " number", "probability": 0.93115234375}, {"start": 2860.45, "end": 2860.79, "word": " three?", "probability": 0.865234375}, {"start": 2863.09, "end": 2863.89, "word": " Any", "probability": 0.7978515625}, {"start": 2863.89, "end": 2864.21, "word": " question", "probability": 0.8896484375}, {"start": 2864.21, "end": 2864.45, "word": " for", "probability": 0.94189453125}, {"start": 2864.45, "end": 2864.67, "word": " number", "probability": 0.93359375}, {"start": 2864.67, "end": 2864.97, "word": " two?", "probability": 0.89501953125}, {"start": 2866.21, "end": 2866.53, "word": " Three.", "probability": 0.9052734375}, {"start": 2868.61, "end": 2869.21, "word": " What", "probability": 0.8564453125}, {"start": 2869.21, "end": 2869.59, "word": " is", "probability": 0.9453125}, {"start": 2869.59, "end": 2869.95, "word": " the", "probability": 0.92138671875}, {"start": 2869.95, "end": 2870.73, "word": " unbiased", "probability": 0.9521484375}, {"start": 2870.73, "end": 2871.11, "word": " point", "probability": 0.97607421875}, {"start": 2871.11, "end": 2871.65, "word": " estimate", "probability": 0.90283203125}, {"start": 2871.65, "end": 2872.13, "word": " for", "probability": 0.93701171875}, {"start": 2872.13, "end": 2872.31, "word": " the", "probability": 0.921875}, {"start": 2872.31, "end": 2872.79, "word": " difference", "probability": 0.85986328125}, {"start": 2872.79, "end": 2873.19, "word": " between", "probability": 0.87744140625}, {"start": 2873.19, "end": 2873.43, "word": " the", "probability": 0.89208984375}, {"start": 2873.43, "end": 2873.59, "word": " two", "probability": 0.93359375}, {"start": 2873.59, "end": 2874.07, "word": " population", "probability": 0.5947265625}, {"start": 2874.07, "end": 2874.41, "word": " proportions?", "probability": 0.6728515625}], "temperature": 1.0}, {"id": 108, "seek": 290452, "start": 2878.96, "end": 2904.52, "text": " B1 minus B2 which is straight forward calculation gives A the correct answer. Because the point estimate in this case is B1 minus B2. B1 is 66 percent, B2 is 60 percent, so the answer is 6 percent. So B1 minus B2 which is 6 percent.", "tokens": [363, 16, 3175, 363, 17, 597, 307, 2997, 2128, 17108, 2709, 316, 264, 3006, 1867, 13, 1436, 264, 935, 12539, 294, 341, 1389, 307, 363, 16, 3175, 363, 17, 13, 363, 16, 307, 21126, 3043, 11, 363, 17, 307, 4060, 3043, 11, 370, 264, 1867, 307, 1386, 3043, 13, 407, 363, 16, 3175, 363, 17, 597, 307, 1386, 3043, 13], "avg_logprob": -0.20555840163934427, "compression_ratio": 1.6293706293706294, "no_speech_prob": 0.0, "words": [{"start": 2878.9599999999996, "end": 2879.74, "word": " B1", "probability": 0.609130859375}, {"start": 2879.74, "end": 2880.52, "word": " minus", "probability": 0.7958984375}, {"start": 2880.52, "end": 2881.04, "word": " B2", "probability": 0.95458984375}, {"start": 2881.04, "end": 2881.36, "word": " which", "probability": 0.55419921875}, {"start": 2881.36, "end": 2881.76, "word": " is", "probability": 0.94091796875}, {"start": 2881.76, "end": 2883.24, "word": " straight", "probability": 0.40087890625}, {"start": 2883.24, "end": 2883.72, "word": " forward", "probability": 0.83349609375}, {"start": 2883.72, "end": 2884.36, "word": " calculation", "probability": 0.82568359375}, {"start": 2884.36, "end": 2884.74, "word": " gives", "probability": 0.68701171875}, {"start": 2884.74, "end": 2885.0, "word": " A", "probability": 0.75341796875}, {"start": 2885.0, "end": 2885.16, "word": " the", "probability": 0.51220703125}, {"start": 2885.16, "end": 2885.46, "word": " correct", "probability": 0.876953125}, {"start": 2885.46, "end": 2885.9, "word": " answer.", "probability": 0.95458984375}, {"start": 2886.36, "end": 2886.56, "word": " Because", "probability": 0.53125}, {"start": 2886.56, "end": 2886.7, "word": " the", "probability": 0.89306640625}, {"start": 2886.7, "end": 2886.98, "word": " point", "probability": 0.97509765625}, {"start": 2886.98, "end": 2887.56, "word": " estimate", "probability": 0.92919921875}, {"start": 2887.56, "end": 2888.7, "word": " in", "probability": 0.84228515625}, {"start": 2888.7, "end": 2888.96, "word": " this", "probability": 0.9482421875}, {"start": 2888.96, "end": 2889.28, "word": " case", "probability": 0.91455078125}, {"start": 2889.28, "end": 2889.46, "word": " is", "probability": 0.931640625}, {"start": 2889.46, "end": 2889.84, "word": " B1", "probability": 0.97802734375}, {"start": 2889.84, "end": 2890.28, "word": " minus", "probability": 0.9775390625}, {"start": 2890.28, "end": 2890.7, "word": " B2.", "probability": 0.97802734375}, {"start": 2892.14, "end": 2892.58, "word": " B1", "probability": 0.97900390625}, {"start": 2892.58, "end": 2892.74, "word": " is", "probability": 0.86767578125}, {"start": 2892.74, "end": 2893.32, "word": " 66", "probability": 0.7890625}, {"start": 2893.32, "end": 2894.22, "word": " percent,", "probability": 0.49462890625}, {"start": 2894.36, "end": 2894.58, "word": " B2", "probability": 0.987548828125}, {"start": 2894.58, "end": 2894.76, "word": " is", "probability": 0.9384765625}, {"start": 2894.76, "end": 2895.12, "word": " 60", "probability": 0.9599609375}, {"start": 2895.12, "end": 2895.6, "word": " percent,", "probability": 0.951171875}, {"start": 2895.78, "end": 2895.94, "word": " so", "probability": 0.9306640625}, {"start": 2895.94, "end": 2896.08, "word": " the", "probability": 0.91357421875}, {"start": 2896.08, "end": 2896.38, "word": " answer", "probability": 0.9521484375}, {"start": 2896.38, "end": 2897.42, "word": " is", "probability": 0.94921875}, {"start": 2897.42, "end": 2898.56, "word": " 6", "probability": 0.83837890625}, {"start": 2898.56, "end": 2898.98, "word": " percent.", "probability": 0.90673828125}, {"start": 2899.24, "end": 2899.44, "word": " So", "probability": 0.93994140625}, {"start": 2899.44, "end": 2900.0, "word": " B1", "probability": 0.850830078125}, {"start": 2900.0, "end": 2900.46, "word": " minus", "probability": 0.98193359375}, {"start": 2900.46, "end": 2901.18, "word": " B2", "probability": 0.758056640625}, {"start": 2901.18, "end": 2903.82, "word": " which", "probability": 0.39208984375}, {"start": 2903.82, "end": 2903.92, "word": " is", "probability": 0.91357421875}, {"start": 2903.92, "end": 2904.14, "word": " 6", "probability": 0.9052734375}, {"start": 2904.14, "end": 2904.52, "word": " percent.", "probability": 0.9580078125}], "temperature": 1.0}, {"id": 109, "seek": 293583, "start": 2905.97, "end": 2935.83, "text": " I think three is straightforward. Number four, what is or are the critical values which, when performing a z-test on whether population proportions are different at 5%. Here, yes, we are talking about two-tailed test, and alpha is 5%. So my critical values, they are two critical values, actually.", "tokens": [286, 519, 1045, 307, 15325, 13, 5118, 1451, 11, 437, 307, 420, 366, 264, 4924, 4190, 597, 11, 562, 10205, 257, 710, 12, 31636, 322, 1968, 4415, 32482, 366, 819, 412, 1025, 6856, 1692, 11, 2086, 11, 321, 366, 1417, 466, 732, 12, 14430, 292, 1500, 11, 293, 8961, 307, 1025, 6856, 407, 452, 4924, 4190, 11, 436, 366, 732, 4924, 4190, 11, 767, 13], "avg_logprob": -0.21638257936997848, "compression_ratio": 1.5520833333333333, "no_speech_prob": 0.0, "words": [{"start": 2905.97, "end": 2906.19, "word": " I", "probability": 0.6416015625}, {"start": 2906.19, "end": 2906.39, "word": " think", "probability": 0.91064453125}, {"start": 2906.39, "end": 2906.61, "word": " three", "probability": 0.77001953125}, {"start": 2906.61, "end": 2906.77, "word": " is", "probability": 0.61962890625}, {"start": 2906.77, "end": 2907.33, "word": " straightforward.", "probability": 0.87939453125}, {"start": 2909.17, "end": 2909.85, "word": " Number", "probability": 0.7822265625}, {"start": 2909.85, "end": 2910.31, "word": " four,", "probability": 0.91455078125}, {"start": 2912.03, "end": 2912.45, "word": " what", "probability": 0.892578125}, {"start": 2912.45, "end": 2912.91, "word": " is", "probability": 0.95166015625}, {"start": 2912.91, "end": 2913.19, "word": " or", "probability": 0.91943359375}, {"start": 2913.19, "end": 2913.63, "word": " are", "probability": 0.94873046875}, {"start": 2913.63, "end": 2915.89, "word": " the", "probability": 0.8037109375}, {"start": 2915.89, "end": 2916.25, "word": " critical", "probability": 0.93505859375}, {"start": 2916.25, "end": 2916.93, "word": " values", "probability": 0.97216796875}, {"start": 2916.93, "end": 2918.05, "word": " which,", "probability": 0.728515625}, {"start": 2918.33, "end": 2918.45, "word": " when", "probability": 0.9443359375}, {"start": 2918.45, "end": 2919.17, "word": " performing", "probability": 0.81005859375}, {"start": 2919.17, "end": 2920.23, "word": " a", "probability": 0.9130859375}, {"start": 2920.23, "end": 2920.35, "word": " z", "probability": 0.62451171875}, {"start": 2920.35, "end": 2920.63, "word": "-test", "probability": 0.759033203125}, {"start": 2920.63, "end": 2920.91, "word": " on", "probability": 0.9052734375}, {"start": 2920.91, "end": 2921.17, "word": " whether", "probability": 0.81591796875}, {"start": 2921.17, "end": 2921.87, "word": " population", "probability": 0.87353515625}, {"start": 2921.87, "end": 2922.55, "word": " proportions", "probability": 0.8251953125}, {"start": 2922.55, "end": 2922.87, "word": " are", "probability": 0.93896484375}, {"start": 2922.87, "end": 2923.29, "word": " different", "probability": 0.8994140625}, {"start": 2923.29, "end": 2923.77, "word": " at", "probability": 0.63330078125}, {"start": 2923.77, "end": 2924.73, "word": " 5%.", "probability": 0.5936279296875}, {"start": 2924.73, "end": 2925.81, "word": " Here,", "probability": 0.787109375}, {"start": 2925.95, "end": 2926.21, "word": " yes,", "probability": 0.9423828125}, {"start": 2926.29, "end": 2926.43, "word": " we", "probability": 0.9609375}, {"start": 2926.43, "end": 2926.57, "word": " are", "probability": 0.9365234375}, {"start": 2926.57, "end": 2926.87, "word": " talking", "probability": 0.85302734375}, {"start": 2926.87, "end": 2927.27, "word": " about", "probability": 0.9033203125}, {"start": 2927.27, "end": 2927.57, "word": " two", "probability": 0.87890625}, {"start": 2927.57, "end": 2927.91, "word": "-tailed", "probability": 0.7060546875}, {"start": 2927.91, "end": 2928.19, "word": " test,", "probability": 0.6513671875}, {"start": 2928.93, "end": 2929.87, "word": " and", "probability": 0.93603515625}, {"start": 2929.87, "end": 2930.15, "word": " alpha", "probability": 0.830078125}, {"start": 2930.15, "end": 2930.33, "word": " is", "probability": 0.94873046875}, {"start": 2930.33, "end": 2930.91, "word": " 5%.", "probability": 0.947021484375}, {"start": 2930.91, "end": 2932.25, "word": " So", "probability": 0.9443359375}, {"start": 2932.25, "end": 2932.79, "word": " my", "probability": 0.4609375}, {"start": 2932.79, "end": 2933.25, "word": " critical", "probability": 0.9345703125}, {"start": 2933.25, "end": 2933.93, "word": " values,", "probability": 0.96044921875}, {"start": 2934.31, "end": 2934.53, "word": " they", "probability": 0.65087890625}, {"start": 2934.53, "end": 2934.69, "word": " are", "probability": 0.93359375}, {"start": 2934.69, "end": 2934.91, "word": " two", "probability": 0.90087890625}, {"start": 2934.91, "end": 2935.23, "word": " critical", "probability": 0.8681640625}, {"start": 2935.23, "end": 2935.55, "word": " values,", "probability": 0.9736328125}, {"start": 2935.63, "end": 2935.83, "word": " actually.", "probability": 0.880859375}], "temperature": 1.0}, {"id": 110, "seek": 297924, "start": 2967.08, "end": 2979.24, "text": " What is or are the critical values when testing whether population proportions are different at 10%? The same instead here we have 10 instead of 5%.", "tokens": [708, 307, 420, 366, 264, 4924, 4190, 562, 4997, 1968, 4415, 32482, 366, 819, 412, 1266, 4, 30, 440, 912, 2602, 510, 321, 362, 1266, 2602, 295, 1025, 6856], "avg_logprob": -0.275781257947286, "compression_ratio": 1.2735042735042734, "no_speech_prob": 0.0, "words": [{"start": 2967.0799999999995, "end": 2967.8799999999997, "word": " What", "probability": 0.05267333984375}, {"start": 2967.8799999999997, "end": 2968.68, "word": " is", "probability": 0.72998046875}, {"start": 2968.68, "end": 2968.86, "word": " or", "probability": 0.81396484375}, {"start": 2968.86, "end": 2969.16, "word": " are", "probability": 0.9326171875}, {"start": 2969.16, "end": 2969.3, "word": " the", "probability": 0.908203125}, {"start": 2969.3, "end": 2969.62, "word": " critical", "probability": 0.91259765625}, {"start": 2969.62, "end": 2970.1, "word": " values", "probability": 0.9658203125}, {"start": 2970.1, "end": 2970.38, "word": " when", "probability": 0.9140625}, {"start": 2970.38, "end": 2971.0, "word": " testing", "probability": 0.83935546875}, {"start": 2971.0, "end": 2971.32, "word": " whether", "probability": 0.91259765625}, {"start": 2971.32, "end": 2971.9, "word": " population", "probability": 0.75830078125}, {"start": 2971.9, "end": 2972.5, "word": " proportions", "probability": 0.646484375}, {"start": 2972.5, "end": 2972.98, "word": " are", "probability": 0.94091796875}, {"start": 2972.98, "end": 2973.48, "word": " different", "probability": 0.88232421875}, {"start": 2973.48, "end": 2973.82, "word": " at", "probability": 0.88720703125}, {"start": 2973.82, "end": 2974.26, "word": " 10", "probability": 0.87744140625}, {"start": 2974.26, "end": 2974.66, "word": "%?", "probability": 0.63916015625}, {"start": 2975.44, "end": 2975.84, "word": " The", "probability": 0.69970703125}, {"start": 2975.84, "end": 2976.14, "word": " same", "probability": 0.8837890625}, {"start": 2976.14, "end": 2976.64, "word": " instead", "probability": 0.6044921875}, {"start": 2976.64, "end": 2977.02, "word": " here", "probability": 0.52490234375}, {"start": 2977.02, "end": 2977.18, "word": " we", "probability": 0.80810546875}, {"start": 2977.18, "end": 2977.34, "word": " have", "probability": 0.94775390625}, {"start": 2977.34, "end": 2977.6, "word": " 10", "probability": 0.8740234375}, {"start": 2977.6, "end": 2978.06, "word": " instead", "probability": 0.791015625}, {"start": 2978.06, "end": 2978.28, "word": " of", "probability": 0.9658203125}, {"start": 2978.28, "end": 2979.24, "word": " 5%.", "probability": 0.89404296875}], "temperature": 1.0}, {"id": 111, "seek": 300358, "start": 2980.92, "end": 3003.58, "text": " So A is the correct answer. So just use the table. Now for the previous one, we have 0 to 5, 0 to 5. The other one, alpha is 10%. So 0, 5 to the right, the same as to the left. So plus or minus 164.", "tokens": [407, 316, 307, 264, 3006, 1867, 13, 407, 445, 764, 264, 3199, 13, 823, 337, 264, 3894, 472, 11, 321, 362, 1958, 281, 1025, 11, 1958, 281, 1025, 13, 440, 661, 472, 11, 8961, 307, 1266, 6856, 407, 1958, 11, 1025, 281, 264, 558, 11, 264, 912, 382, 281, 264, 1411, 13, 407, 1804, 420, 3175, 3165, 19, 13], "avg_logprob": -0.20039062226812046, "compression_ratio": 1.4014084507042253, "no_speech_prob": 0.0, "words": [{"start": 2980.92, "end": 2981.26, "word": " So", "probability": 0.67138671875}, {"start": 2981.26, "end": 2981.46, "word": " A", "probability": 0.33544921875}, {"start": 2981.46, "end": 2981.56, "word": " is", "probability": 0.92529296875}, {"start": 2981.56, "end": 2981.72, "word": " the", "probability": 0.90185546875}, {"start": 2981.72, "end": 2982.0, "word": " correct", "probability": 0.88232421875}, {"start": 2982.0, "end": 2982.44, "word": " answer.", "probability": 0.95068359375}, {"start": 2983.84, "end": 2984.14, "word": " So", "probability": 0.8095703125}, {"start": 2984.14, "end": 2984.36, "word": " just", "probability": 0.81103515625}, {"start": 2984.36, "end": 2984.62, "word": " use", "probability": 0.85693359375}, {"start": 2984.62, "end": 2984.78, "word": " the", "probability": 0.90966796875}, {"start": 2984.78, "end": 2985.1, "word": " table.", "probability": 0.8173828125}, {"start": 2987.34, "end": 2987.86, "word": " Now", "probability": 0.7783203125}, {"start": 2987.86, "end": 2988.04, "word": " for", "probability": 0.7470703125}, {"start": 2988.04, "end": 2988.18, "word": " the", "probability": 0.92041015625}, {"start": 2988.18, "end": 2988.46, "word": " previous", "probability": 0.80224609375}, {"start": 2988.46, "end": 2988.7, "word": " one,", "probability": 0.9287109375}, {"start": 2988.78, "end": 2988.88, "word": " we", "probability": 0.9296875}, {"start": 2988.88, "end": 2989.04, "word": " have", "probability": 0.9208984375}, {"start": 2989.04, "end": 2989.26, "word": " 0", "probability": 0.8076171875}, {"start": 2989.26, "end": 2989.4, "word": " to", "probability": 0.92138671875}, {"start": 2989.4, "end": 2989.78, "word": " 5,", "probability": 0.9853515625}, {"start": 2990.52, "end": 2991.02, "word": " 0", "probability": 0.9091796875}, {"start": 2991.02, "end": 2991.18, "word": " to", "probability": 0.97021484375}, {"start": 2991.18, "end": 2991.44, "word": " 5.", "probability": 0.99609375}, {"start": 2991.98, "end": 2992.24, "word": " The", "probability": 0.869140625}, {"start": 2992.24, "end": 2992.48, "word": " other", "probability": 0.89501953125}, {"start": 2992.48, "end": 2992.82, "word": " one,", "probability": 0.9296875}, {"start": 2993.46, "end": 2993.84, "word": " alpha", "probability": 0.68310546875}, {"start": 2993.84, "end": 2994.12, "word": " is", "probability": 0.951171875}, {"start": 2994.12, "end": 2994.94, "word": " 10%.", "probability": 0.620849609375}, {"start": 2994.94, "end": 2996.52, "word": " So", "probability": 0.92822265625}, {"start": 2996.52, "end": 2996.84, "word": " 0,", "probability": 0.853515625}, {"start": 2996.94, "end": 2997.16, "word": " 5", "probability": 0.708984375}, {"start": 2997.16, "end": 2997.34, "word": " to", "probability": 0.92724609375}, {"start": 2997.34, "end": 2997.48, "word": " the", "probability": 0.91455078125}, {"start": 2997.48, "end": 2997.74, "word": " right,", "probability": 0.91748046875}, {"start": 2997.88, "end": 2998.06, "word": " the", "probability": 0.8837890625}, {"start": 2998.06, "end": 2998.3, "word": " same", "probability": 0.90966796875}, {"start": 2998.3, "end": 2998.64, "word": " as", "probability": 0.96630859375}, {"start": 2998.64, "end": 2998.8, "word": " to", "probability": 0.94384765625}, {"start": 2998.8, "end": 2998.96, "word": " the", "probability": 0.912109375}, {"start": 2998.96, "end": 2999.22, "word": " left.", "probability": 0.9384765625}, {"start": 2999.94, "end": 3000.18, "word": " So", "probability": 0.94775390625}, {"start": 3000.18, "end": 3000.46, "word": " plus", "probability": 0.912109375}, {"start": 3000.46, "end": 3000.68, "word": " or", "probability": 0.9609375}, {"start": 3000.68, "end": 3001.2, "word": " minus", "probability": 0.98583984375}, {"start": 3001.2, "end": 3003.58, "word": " 164.", "probability": 0.5557861328125}], "temperature": 1.0}, {"id": 112, "seek": 303544, "start": 3006.7, "end": 3035.44, "text": " So 4 and 5 by using the z table. So exactly, since alpha here is 1, 0, 2, 5, so the area becomes smaller than, so it should be z greater than. So 1.106, the other one 1.645, number 6. 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Higher means above. Above 10. Above 10, 5%. So which? B. B is the correct. Z alpha.", "tokens": [440, 4924, 2158, 294, 4997, 1968, 264, 2190, 4415, 307, 2946, 813, 13, 31997, 1355, 3673, 13, 32691, 1266, 13, 32691, 1266, 11, 1025, 6856, 407, 597, 30, 363, 13, 363, 307, 264, 3006, 13, 1176, 8961, 13], "avg_logprob": -0.4258814117847345, "compression_ratio": 1.288, "no_speech_prob": 0.0, "words": [{"start": 3036.69, "end": 3037.05, "word": " The", "probability": 0.404052734375}, {"start": 3037.05, "end": 3037.45, "word": " critical", "probability": 0.8271484375}, {"start": 3037.45, "end": 3037.79, "word": " value", "probability": 0.93798828125}, {"start": 3037.79, "end": 3038.03, "word": " in", "probability": 0.6904296875}, {"start": 3038.03, "end": 3038.37, "word": " testing", "probability": 0.83544921875}, {"start": 3038.37, "end": 3038.81, "word": " whether", "probability": 0.822265625}, {"start": 3038.81, "end": 3039.05, "word": " the", "probability": 0.91064453125}, {"start": 3039.05, "end": 3039.37, "word": " current", "probability": 0.8984375}, {"start": 3039.37, "end": 3040.09, "word": " population", "probability": 0.9365234375}, {"start": 3040.09, "end": 3041.85, "word": " is", "probability": 0.87255859375}, {"start": 3041.85, "end": 3042.45, "word": " higher", "probability": 0.88232421875}, {"start": 3042.45, "end": 3042.83, "word": " than.", "probability": 0.92822265625}, {"start": 3044.21, "end": 3044.51, "word": " Higher", "probability": 0.8291015625}, {"start": 3044.51, "end": 3044.95, "word": " means", "probability": 0.90625}, {"start": 3044.95, "end": 3045.29, "word": " above.", "probability": 0.457763671875}, {"start": 3046.21, "end": 3046.73, "word": " Above", "probability": 0.76220703125}, {"start": 3046.73, "end": 3047.03, "word": " 10.", "probability": 0.1258544921875}, {"start": 3048.89, "end": 3049.69, "word": " Above", "probability": 0.861328125}, {"start": 3049.69, "end": 3050.03, "word": " 10,", "probability": 0.9306640625}, {"start": 3050.13, "end": 3050.99, "word": " 5%.", "probability": 0.7822265625}, {"start": 3050.99, "end": 3052.99, "word": " So", "probability": 0.84130859375}, {"start": 3052.99, "end": 3053.29, "word": " which?", "probability": 0.68115234375}, {"start": 3055.07, "end": 3055.87, "word": " B.", "probability": 0.4150390625}, {"start": 3058.47, "end": 3059.27, "word": " B", "probability": 0.947265625}, {"start": 3059.27, "end": 3059.47, "word": " is", "probability": 0.78271484375}, {"start": 3059.47, "end": 3059.61, "word": " the", "probability": 0.853515625}, {"start": 3059.61, "end": 3059.91, "word": " correct.", "probability": 0.89892578125}, {"start": 3060.23, "end": 3060.41, "word": " Z", "probability": 0.873046875}, {"start": 3060.41, "end": 3060.81, "word": " alpha.", "probability": 0.65380859375}], "temperature": 1.0}, {"id": 114, "seek": 309074, "start": 3066.7, "end": 3090.74, "text": " So, B is the correct answer. 7. 7 and 8 we should have to calculate number 1. 7 was the estimated standard error of the difference between the two sample proportions. We should have a standard error.", "tokens": [407, 11, 363, 307, 264, 3006, 1867, 13, 1614, 13, 1614, 293, 1649, 321, 820, 362, 281, 8873, 1230, 502, 13, 1614, 390, 264, 14109, 3832, 6713, 295, 264, 2649, 1296, 264, 732, 6889, 32482, 13, 492, 820, 362, 257, 3832, 6713, 13], "avg_logprob": -0.3297230120409619, "compression_ratio": 1.4705882352941178, "no_speech_prob": 0.0, "words": [{"start": 3066.7000000000003, "end": 3067.38, "word": " So,", "probability": 0.26611328125}, {"start": 3067.5, "end": 3067.52, "word": " B", "probability": 0.5625}, {"start": 3067.52, "end": 3067.68, "word": " is", "probability": 0.94189453125}, {"start": 3067.68, "end": 3067.8, "word": " the", "probability": 0.88818359375}, {"start": 3067.8, "end": 3068.06, "word": " correct", "probability": 0.884765625}, {"start": 3068.06, "end": 3068.44, "word": " answer.", "probability": 0.9638671875}, {"start": 3071.2, "end": 3071.84, "word": " 7.", "probability": 0.4912109375}, {"start": 3074.74, "end": 3075.42, "word": " 7", "probability": 0.76220703125}, {"start": 3075.42, "end": 3075.66, "word": " and", "probability": 0.91845703125}, {"start": 3075.66, "end": 3075.94, "word": " 8", "probability": 0.982421875}, {"start": 3075.94, "end": 3076.12, "word": " we", "probability": 0.646484375}, {"start": 3076.12, "end": 3076.42, "word": " should", "probability": 0.9619140625}, {"start": 3076.42, "end": 3076.78, "word": " have", "probability": 0.92041015625}, {"start": 3076.78, "end": 3077.78, "word": " to", "probability": 0.919921875}, {"start": 3077.78, "end": 3078.44, "word": " calculate", "probability": 0.90966796875}, {"start": 3078.44, "end": 3080.44, "word": " number", "probability": 0.59228515625}, {"start": 3080.44, "end": 3080.74, "word": " 1.", "probability": 0.58056640625}, {"start": 3080.92, "end": 3081.32, "word": " 7", "probability": 0.8662109375}, {"start": 3081.32, "end": 3081.9, "word": " was", "probability": 0.18798828125}, {"start": 3081.9, "end": 3082.12, "word": " the", "probability": 0.80517578125}, {"start": 3082.12, "end": 3082.7, "word": " estimated", "probability": 0.81591796875}, {"start": 3082.7, "end": 3083.32, "word": " standard", "probability": 0.9248046875}, {"start": 3083.32, "end": 3083.72, "word": " error", "probability": 0.92041015625}, {"start": 3083.72, "end": 3085.2, "word": " of", "probability": 0.82080078125}, {"start": 3085.2, "end": 3085.4, "word": " the", "probability": 0.9140625}, {"start": 3085.4, "end": 3085.88, "word": " difference", "probability": 0.853515625}, {"start": 3085.88, "end": 3086.28, "word": " between", "probability": 0.87646484375}, {"start": 3086.28, "end": 3086.52, "word": " the", "probability": 0.8681640625}, {"start": 3086.52, "end": 3086.7, "word": " two", "probability": 0.78857421875}, {"start": 3086.7, "end": 3087.04, "word": " sample", "probability": 0.55029296875}, {"start": 3087.04, "end": 3087.8, "word": " proportions.", "probability": 0.73974609375}, {"start": 3088.5, "end": 3089.18, "word": " We", "probability": 0.79638671875}, {"start": 3089.18, "end": 3089.4, "word": " should", "probability": 0.96044921875}, {"start": 3089.4, "end": 3089.66, "word": " have", "probability": 0.94189453125}, {"start": 3089.66, "end": 3089.94, "word": " a", "probability": 0.344482421875}, {"start": 3089.94, "end": 3090.46, "word": " standard", "probability": 0.939453125}, {"start": 3090.46, "end": 3090.74, "word": " error.", "probability": 0.919921875}], "temperature": 1.0}, {"id": 115, "seek": 312204, "start": 3094.62, "end": 3122.04, "text": " Square root, B dash 1 minus B dash multiplied by 1 over N1 plus 1 over N2. And we have to find B dash here. Let's see how can we find B dash. B dash equal x1 plus x2.", "tokens": [16463, 5593, 11, 363, 8240, 502, 3175, 363, 8240, 17207, 538, 502, 670, 426, 16, 1804, 502, 670, 426, 17, 13, 400, 321, 362, 281, 915, 363, 8240, 510, 13, 961, 311, 536, 577, 393, 321, 915, 363, 8240, 13, 363, 8240, 2681, 2031, 16, 1804, 2031, 17, 13], "avg_logprob": -0.23578124344348908, "compression_ratio": 1.3688524590163935, "no_speech_prob": 0.0, "words": [{"start": 3094.62, "end": 3095.1, "word": " Square", "probability": 0.458251953125}, {"start": 3095.1, "end": 3095.46, "word": " root,", "probability": 0.84814453125}, {"start": 3096.66, "end": 3096.86, "word": " B", "probability": 0.55078125}, {"start": 3096.86, "end": 3097.18, "word": " dash", "probability": 0.5634765625}, {"start": 3097.18, "end": 3097.42, "word": " 1", "probability": 0.464599609375}, {"start": 3097.42, "end": 3097.74, "word": " minus", "probability": 0.9619140625}, {"start": 3097.74, "end": 3097.96, "word": " B", "probability": 0.97021484375}, {"start": 3097.96, "end": 3098.26, "word": " dash", "probability": 0.85595703125}, {"start": 3098.26, "end": 3099.6, "word": " multiplied", "probability": 0.47509765625}, {"start": 3099.6, "end": 3100.04, "word": " by", "probability": 0.9599609375}, {"start": 3100.04, "end": 3100.32, "word": " 1", "probability": 0.90771484375}, {"start": 3100.32, "end": 3100.56, "word": " over", "probability": 0.8876953125}, {"start": 3100.56, "end": 3100.86, "word": " N1", "probability": 0.7763671875}, {"start": 3100.86, "end": 3101.1, "word": " plus", "probability": 0.93603515625}, {"start": 3101.1, "end": 3101.32, "word": " 1", "probability": 0.947265625}, {"start": 3101.32, "end": 3101.5, "word": " over", "probability": 0.90234375}, {"start": 3101.5, "end": 3101.86, "word": " N2.", "probability": 0.989013671875}, {"start": 3103.68, "end": 3103.98, "word": " And", "probability": 0.89404296875}, {"start": 3103.98, "end": 3104.12, "word": " we", "probability": 0.92724609375}, {"start": 3104.12, "end": 3104.28, "word": " have", "probability": 0.94287109375}, {"start": 3104.28, "end": 3104.4, "word": " to", "probability": 0.96533203125}, {"start": 3104.4, "end": 3104.72, "word": " find", "probability": 0.91650390625}, {"start": 3104.72, "end": 3105.06, "word": " B", "probability": 0.97998046875}, {"start": 3105.06, "end": 3105.3, "word": " dash", "probability": 0.81787109375}, {"start": 3105.3, "end": 3105.52, "word": " here.", "probability": 0.26318359375}, {"start": 3107.48, "end": 3108.04, "word": " Let's", "probability": 0.8505859375}, {"start": 3108.04, "end": 3108.14, "word": " see", "probability": 0.91455078125}, {"start": 3108.14, "end": 3108.22, "word": " how", "probability": 0.90771484375}, {"start": 3108.22, "end": 3108.4, "word": " can", "probability": 0.7880859375}, {"start": 3108.4, "end": 3108.5, "word": " we", "probability": 0.93408203125}, {"start": 3108.5, "end": 3108.72, "word": " find", "probability": 0.90478515625}, {"start": 3108.72, "end": 3108.94, "word": " B", "probability": 0.9892578125}, {"start": 3108.94, "end": 3109.22, "word": " dash.", "probability": 0.875}, {"start": 3112.72, "end": 3113.28, "word": " B", "probability": 0.6171875}, {"start": 3113.28, "end": 3119.7, "word": " dash", "probability": 0.85546875}, {"start": 3119.7, "end": 3119.94, "word": " equal", "probability": 0.4482421875}, {"start": 3119.94, "end": 3121.22, "word": " x1", "probability": 0.7110595703125}, {"start": 3121.22, "end": 3121.5, "word": " plus", "probability": 0.95556640625}, {"start": 3121.5, "end": 3122.04, "word": " x2.", "probability": 0.99755859375}], "temperature": 1.0}, {"id": 116, "seek": 315106, "start": 3124.06, "end": 3151.06, "text": " Now what's the value of X1? Exactly. Since B1 is X1 over N1. So that means X1 is N1 times B1. So N1 is 150 times 60%. So that's 99. And similarly, X2", "tokens": [823, 437, 311, 264, 2158, 295, 1783, 16, 30, 7587, 13, 4162, 363, 16, 307, 1783, 16, 670, 426, 16, 13, 407, 300, 1355, 1783, 16, 307, 426, 16, 1413, 363, 16, 13, 407, 426, 16, 307, 8451, 1413, 4060, 6856, 407, 300, 311, 11803, 13, 400, 14138, 11, 1783, 17], "avg_logprob": -0.25390626318179643, "compression_ratio": 1.2096774193548387, "no_speech_prob": 0.0, "words": [{"start": 3124.06, "end": 3124.9, "word": " Now", "probability": 0.274658203125}, {"start": 3124.9, "end": 3125.08, "word": " what's", "probability": 0.684326171875}, {"start": 3125.08, "end": 3125.18, "word": " the", "probability": 0.916015625}, {"start": 3125.18, "end": 3125.32, "word": " value", "probability": 0.9765625}, {"start": 3125.32, "end": 3125.44, "word": " of", "probability": 0.943359375}, {"start": 3125.44, "end": 3125.8, "word": " X1?", "probability": 0.64794921875}, {"start": 3130.4, "end": 3130.84, "word": " Exactly.", "probability": 0.51318359375}, {"start": 3131.26, "end": 3132.1, "word": " Since", "probability": 0.7236328125}, {"start": 3132.1, "end": 3132.56, "word": " B1", "probability": 0.746337890625}, {"start": 3132.56, "end": 3132.76, "word": " is", "probability": 0.382568359375}, {"start": 3132.76, "end": 3133.22, "word": " X1", "probability": 0.95458984375}, {"start": 3133.22, "end": 3133.54, "word": " over", "probability": 0.884765625}, {"start": 3133.54, "end": 3133.96, "word": " N1.", "probability": 0.8076171875}, {"start": 3134.92, "end": 3135.18, "word": " So", "probability": 0.87109375}, {"start": 3135.18, "end": 3135.42, "word": " that", "probability": 0.87109375}, {"start": 3135.42, "end": 3135.64, "word": " means", "probability": 0.9130859375}, {"start": 3135.64, "end": 3136.22, "word": " X1", "probability": 0.916748046875}, {"start": 3136.22, "end": 3136.78, "word": " is", "probability": 0.861328125}, {"start": 3136.78, "end": 3137.2, "word": " N1", "probability": 0.982421875}, {"start": 3137.2, "end": 3137.54, "word": " times", "probability": 0.8974609375}, {"start": 3137.54, "end": 3137.96, "word": " B1.", "probability": 0.992919921875}, {"start": 3138.98, "end": 3139.26, "word": " So", "probability": 0.9130859375}, {"start": 3139.26, "end": 3139.64, "word": " N1", "probability": 0.97314453125}, {"start": 3139.64, "end": 3139.78, "word": " is", "probability": 0.93408203125}, {"start": 3139.78, "end": 3140.4, "word": " 150", "probability": 0.857421875}, {"start": 3140.4, "end": 3142.14, "word": " times", "probability": 0.466796875}, {"start": 3142.14, "end": 3143.22, "word": " 60%.", "probability": 0.84521484375}, {"start": 3143.22, "end": 3144.94, "word": " So", "probability": 0.9443359375}, {"start": 3144.94, "end": 3146.6, "word": " that's", "probability": 0.9521484375}, {"start": 3146.6, "end": 3147.42, "word": " 99.", "probability": 0.9248046875}, {"start": 3148.24, "end": 3148.58, "word": " And", "probability": 0.8564453125}, {"start": 3148.58, "end": 3150.24, "word": " similarly,", "probability": 0.869140625}, {"start": 3150.52, "end": 3151.06, "word": " X2", "probability": 0.991455078125}], "temperature": 1.0}, {"id": 117, "seek": 317936, "start": 3152.0, "end": 3179.36, "text": " N2, which is 160, times 60% gives 96. So your B dash is x1 plus x2 divided by N1 plus N2, which is 150 plus 310. So complete B dash versus the bold estimate of overall proportion", "tokens": [426, 17, 11, 597, 307, 21243, 11, 1413, 4060, 4, 2709, 24124, 13, 407, 428, 363, 8240, 307, 2031, 16, 1804, 2031, 17, 6666, 538, 426, 16, 1804, 426, 17, 11, 597, 307, 8451, 1804, 805, 3279, 13, 407, 3566, 363, 8240, 5717, 264, 11928, 12539, 295, 4787, 16068], "avg_logprob": -0.2951562589406967, "compression_ratio": 1.3161764705882353, "no_speech_prob": 0.0, "words": [{"start": 3152.0, "end": 3152.66, "word": " N2,", "probability": 0.726806640625}, {"start": 3152.84, "end": 3153.06, "word": " which", "probability": 0.85595703125}, {"start": 3153.06, "end": 3153.14, "word": " is", "probability": 0.939453125}, {"start": 3153.14, "end": 3153.62, "word": " 160,", "probability": 0.87109375}, {"start": 3154.1, "end": 3154.98, "word": " times", "probability": 0.91357421875}, {"start": 3154.98, "end": 3155.42, "word": " 60", "probability": 0.93701171875}, {"start": 3155.42, "end": 3155.98, "word": "%", "probability": 0.48583984375}, {"start": 3155.98, "end": 3158.68, "word": " gives", "probability": 0.7958984375}, {"start": 3158.68, "end": 3159.7, "word": " 96.", "probability": 0.97119140625}, {"start": 3160.92, "end": 3161.32, "word": " So", "probability": 0.94970703125}, {"start": 3161.32, "end": 3161.9, "word": " your", "probability": 0.73193359375}, {"start": 3161.9, "end": 3162.18, "word": " B", "probability": 0.607421875}, {"start": 3162.18, "end": 3162.52, "word": " dash", "probability": 0.6005859375}, {"start": 3162.52, "end": 3164.18, "word": " is", "probability": 0.89453125}, {"start": 3164.18, "end": 3166.04, "word": " x1", "probability": 0.69580078125}, {"start": 3166.04, "end": 3166.42, "word": " plus", "probability": 0.9208984375}, {"start": 3166.42, "end": 3167.04, "word": " x2", "probability": 0.998779296875}, {"start": 3167.04, "end": 3168.16, "word": " divided", "probability": 0.65283203125}, {"start": 3168.16, "end": 3168.42, "word": " by", "probability": 0.96435546875}, {"start": 3168.42, "end": 3168.72, "word": " N1", "probability": 0.886474609375}, {"start": 3168.72, "end": 3169.04, "word": " plus", "probability": 0.951171875}, {"start": 3169.04, "end": 3169.44, "word": " N2,", "probability": 0.997802734375}, {"start": 3169.52, "end": 3169.68, "word": " which", "probability": 0.94482421875}, {"start": 3169.68, "end": 3169.82, "word": " is", "probability": 0.9443359375}, {"start": 3169.82, "end": 3170.3, "word": " 150", "probability": 0.9189453125}, {"start": 3170.3, "end": 3171.56, "word": " plus", "probability": 0.935546875}, {"start": 3171.56, "end": 3173.24, "word": " 310.", "probability": 0.57861328125}, {"start": 3173.6, "end": 3174.06, "word": " So", "probability": 0.9521484375}, {"start": 3174.06, "end": 3174.98, "word": " complete", "probability": 0.5029296875}, {"start": 3174.98, "end": 3175.2, "word": " B", "probability": 0.98583984375}, {"start": 3175.2, "end": 3175.42, "word": " dash", "probability": 0.875}, {"start": 3175.42, "end": 3175.78, "word": " versus", "probability": 0.06304931640625}, {"start": 3175.78, "end": 3176.06, "word": " the", "probability": 0.8095703125}, {"start": 3176.06, "end": 3176.24, "word": " bold", "probability": 0.459228515625}, {"start": 3176.24, "end": 3177.78, "word": " estimate", "probability": 0.9111328125}, {"start": 3177.78, "end": 3178.24, "word": " of", "probability": 0.96533203125}, {"start": 3178.24, "end": 3178.76, "word": " overall", "probability": 0.83984375}, {"start": 3178.76, "end": 3179.36, "word": " proportion", "probability": 0.87548828125}], "temperature": 1.0}, {"id": 118, "seek": 320903, "start": 3180.89, "end": 3209.03, "text": " So 9 and 9 plus 9 is 6. That's just B-. 6 to 9. 6 to 9. So this is not your answer. It's just B-. Now take this value and the square root of 6 to 9.", "tokens": [407, 1722, 293, 1722, 1804, 1722, 307, 1386, 13, 663, 311, 445, 363, 12, 13, 1386, 281, 1722, 13, 1386, 281, 1722, 13, 407, 341, 307, 406, 428, 1867, 13, 467, 311, 445, 363, 12, 13, 823, 747, 341, 2158, 293, 264, 3732, 5593, 295, 1386, 281, 1722, 13], "avg_logprob": -0.31109374403953555, "compression_ratio": 1.3185840707964602, "no_speech_prob": 0.0, "words": [{"start": 3180.89, "end": 3181.35, "word": " So", "probability": 0.31396484375}, {"start": 3181.35, "end": 3181.93, "word": " 9", "probability": 0.444091796875}, {"start": 3181.93, "end": 3182.09, "word": " and", "probability": 0.370849609375}, {"start": 3182.09, "end": 3182.43, "word": " 9", "probability": 0.9716796875}, {"start": 3182.43, "end": 3182.79, "word": " plus", "probability": 0.73291015625}, {"start": 3182.79, "end": 3183.11, "word": " 9", "probability": 0.86181640625}, {"start": 3183.11, "end": 3183.23, "word": " is", "probability": 0.28515625}, {"start": 3183.23, "end": 3183.57, "word": " 6.", "probability": 0.9306640625}, {"start": 3186.39, "end": 3187.03, "word": " That's", "probability": 0.620849609375}, {"start": 3187.03, "end": 3187.27, "word": " just", "probability": 0.89990234375}, {"start": 3187.27, "end": 3187.45, "word": " B", "probability": 0.78857421875}, {"start": 3187.45, "end": 3187.73, "word": "-.", "probability": 0.2349853515625}, {"start": 3193.21, "end": 3193.85, "word": " 6", "probability": 0.8251953125}, {"start": 3193.85, "end": 3194.01, "word": " to", "probability": 0.912109375}, {"start": 3194.01, "end": 3194.29, "word": " 9.", "probability": 0.994140625}, {"start": 3197.15, "end": 3197.49, "word": " 6", "probability": 0.65185546875}, {"start": 3197.49, "end": 3197.69, "word": " to", "probability": 0.9677734375}, {"start": 3197.69, "end": 3197.97, "word": " 9.", "probability": 0.99755859375}, {"start": 3199.59, "end": 3199.77, "word": " So", "probability": 0.91943359375}, {"start": 3199.77, "end": 3200.01, "word": " this", "probability": 0.56787109375}, {"start": 3200.01, "end": 3200.11, "word": " is", "probability": 0.92724609375}, {"start": 3200.11, "end": 3200.27, "word": " not", "probability": 0.9208984375}, {"start": 3200.27, "end": 3200.45, "word": " your", "probability": 0.89404296875}, {"start": 3200.45, "end": 3200.81, "word": " answer.", "probability": 0.94873046875}, {"start": 3201.65, "end": 3202.29, "word": " It's", "probability": 0.641357421875}, {"start": 3202.29, "end": 3202.61, "word": " just", "probability": 0.8876953125}, {"start": 3202.61, "end": 3202.85, "word": " B", "probability": 0.9921875}, {"start": 3202.85, "end": 3203.19, "word": "-.", "probability": 0.931640625}, {"start": 3203.77, "end": 3203.97, "word": " Now", "probability": 0.84814453125}, {"start": 3203.97, "end": 3204.31, "word": " take", "probability": 0.74951171875}, {"start": 3204.31, "end": 3204.61, "word": " this", "probability": 0.9482421875}, {"start": 3204.61, "end": 3205.05, "word": " value", "probability": 0.974609375}, {"start": 3205.05, "end": 3207.15, "word": " and", "probability": 0.444091796875}, {"start": 3207.15, "end": 3207.33, "word": " the", "probability": 0.341064453125}, {"start": 3207.33, "end": 3207.61, "word": " square", "probability": 0.91845703125}, {"start": 3207.61, "end": 3207.83, "word": " root", "probability": 0.93603515625}, {"start": 3207.83, "end": 3208.13, "word": " of", "probability": 0.97412109375}, {"start": 3208.13, "end": 3208.55, "word": " 6", "probability": 0.951171875}, {"start": 3208.55, "end": 3208.75, "word": " to", "probability": 0.97314453125}, {"start": 3208.75, "end": 3209.03, "word": " 9.", "probability": 0.998046875}], "temperature": 1.0}, {"id": 119, "seek": 323974, "start": 3210.06, "end": 3239.74, "text": " times 1.629 multiplied by 1 over N1 which is 150 plus 160. That's your standard error. B dash is not standard error. B dash is the bold estimate of overall proportion. Now simple calculation will give C. So C is the correct answer.", "tokens": [1413, 502, 13, 21, 11871, 17207, 538, 502, 670, 426, 16, 597, 307, 8451, 1804, 21243, 13, 663, 311, 428, 3832, 6713, 13, 363, 8240, 307, 406, 3832, 6713, 13, 363, 8240, 307, 264, 11928, 12539, 295, 4787, 16068, 13, 823, 2199, 17108, 486, 976, 383, 13, 407, 383, 307, 264, 3006, 1867, 13], "avg_logprob": -0.1862215974114158, "compression_ratio": 1.4591194968553458, "no_speech_prob": 0.0, "words": [{"start": 3210.06, "end": 3210.42, "word": " times", "probability": 0.2958984375}, {"start": 3210.42, "end": 3210.68, "word": " 1", "probability": 0.88427734375}, {"start": 3210.68, "end": 3211.68, "word": ".629", "probability": 0.96044921875}, {"start": 3211.68, "end": 3213.1, "word": " multiplied", "probability": 0.54248046875}, {"start": 3213.1, "end": 3213.54, "word": " by", "probability": 0.96875}, {"start": 3213.54, "end": 3214.04, "word": " 1", "probability": 0.8818359375}, {"start": 3214.04, "end": 3214.24, "word": " over", "probability": 0.81201171875}, {"start": 3214.24, "end": 3214.7, "word": " N1", "probability": 0.743896484375}, {"start": 3214.7, "end": 3215.5, "word": " which", "probability": 0.671875}, {"start": 3215.5, "end": 3215.68, "word": " is", "probability": 0.9287109375}, {"start": 3215.68, "end": 3216.28, "word": " 150", "probability": 0.71240234375}, {"start": 3216.28, "end": 3218.96, "word": " plus", "probability": 0.89697265625}, {"start": 3218.96, "end": 3219.64, "word": " 160.", "probability": 0.82958984375}, {"start": 3221.32, "end": 3222.12, "word": " That's", "probability": 0.835205078125}, {"start": 3222.12, "end": 3222.4, "word": " your", "probability": 0.88330078125}, {"start": 3222.4, "end": 3222.82, "word": " standard", "probability": 0.9052734375}, {"start": 3222.82, "end": 3223.22, "word": " error.", "probability": 0.87744140625}, {"start": 3224.32, "end": 3224.48, "word": " B", "probability": 0.8720703125}, {"start": 3224.48, "end": 3224.76, "word": " dash", "probability": 0.61181640625}, {"start": 3224.76, "end": 3224.98, "word": " is", "probability": 0.93408203125}, {"start": 3224.98, "end": 3225.24, "word": " not", "probability": 0.92333984375}, {"start": 3225.24, "end": 3225.64, "word": " standard", "probability": 0.88818359375}, {"start": 3225.64, "end": 3225.88, "word": " error.", "probability": 0.87841796875}, {"start": 3225.96, "end": 3226.06, "word": " B", "probability": 0.98779296875}, {"start": 3226.06, "end": 3226.3, "word": " dash", "probability": 0.8466796875}, {"start": 3226.3, "end": 3226.5, "word": " is", "probability": 0.9501953125}, {"start": 3226.5, "end": 3226.68, "word": " the", "probability": 0.89013671875}, {"start": 3226.68, "end": 3227.04, "word": " bold", "probability": 0.69140625}, {"start": 3227.04, "end": 3228.38, "word": " estimate", "probability": 0.91552734375}, {"start": 3228.38, "end": 3229.08, "word": " of", "probability": 0.96435546875}, {"start": 3229.08, "end": 3229.54, "word": " overall", "probability": 0.77294921875}, {"start": 3229.54, "end": 3230.18, "word": " proportion.", "probability": 0.80078125}, {"start": 3232.24, "end": 3232.6, "word": " Now", "probability": 0.93212890625}, {"start": 3232.6, "end": 3232.92, "word": " simple", "probability": 0.63330078125}, {"start": 3232.92, "end": 3233.48, "word": " calculation", "probability": 0.92138671875}, {"start": 3233.48, "end": 3233.74, "word": " will", "probability": 0.8798828125}, {"start": 3233.74, "end": 3234.14, "word": " give", "probability": 0.8837890625}, {"start": 3234.14, "end": 3235.44, "word": " C.", "probability": 0.845703125}, {"start": 3236.98, "end": 3237.78, "word": " So", "probability": 0.9375}, {"start": 3237.78, "end": 3238.06, "word": " C", "probability": 0.6796875}, {"start": 3238.06, "end": 3238.34, "word": " is", "probability": 0.9521484375}, {"start": 3238.34, "end": 3238.52, "word": " the", "probability": 0.9150390625}, {"start": 3238.52, "end": 3238.94, "word": " correct", "probability": 0.908203125}, {"start": 3238.94, "end": 3239.74, "word": " answer.", "probability": 0.94921875}], "temperature": 1.0}, {"id": 120, "seek": 327184, "start": 3247.06, "end": 3271.84, "text": " What's the standard error of the difference between the two proportions given by this equation? Here first we have to compute P' by using x1 plus x2 over n1 plus n2. In this example, the x's are not given, but we have the proportions.", "tokens": [708, 311, 264, 3832, 6713, 295, 264, 2649, 1296, 264, 732, 32482, 2212, 538, 341, 5367, 30, 1692, 700, 321, 362, 281, 14722, 430, 6, 538, 1228, 2031, 16, 1804, 2031, 17, 670, 297, 16, 1804, 297, 17, 13, 682, 341, 1365, 11, 264, 2031, 311, 366, 406, 2212, 11, 457, 321, 362, 264, 32482, 13], "avg_logprob": -0.2539747890673186, "compression_ratio": 1.46875, "no_speech_prob": 0.0, "words": [{"start": 3247.0600000000004, "end": 3247.6600000000003, "word": " What's", "probability": 0.4329833984375}, {"start": 3247.6600000000003, "end": 3248.26, "word": " the", "probability": 0.68701171875}, {"start": 3248.26, "end": 3250.88, "word": " standard", "probability": 0.319091796875}, {"start": 3250.88, "end": 3253.74, "word": " error", "probability": 0.85791015625}, {"start": 3253.74, "end": 3255.06, "word": " of", "probability": 0.6328125}, {"start": 3255.06, "end": 3255.22, "word": " the", "probability": 0.68798828125}, {"start": 3255.22, "end": 3255.6, "word": " difference", "probability": 0.78662109375}, {"start": 3255.6, "end": 3256.1, "word": " between", "probability": 0.86181640625}, {"start": 3256.1, "end": 3256.22, "word": " the", "probability": 0.6923828125}, {"start": 3256.22, "end": 3256.36, "word": " two", "probability": 0.85986328125}, {"start": 3256.36, "end": 3256.92, "word": " proportions", "probability": 0.70654296875}, {"start": 3256.92, "end": 3257.24, "word": " given", "probability": 0.7666015625}, {"start": 3257.24, "end": 3257.44, "word": " by", "probability": 0.9638671875}, {"start": 3257.44, "end": 3257.6, "word": " this", "probability": 0.90576171875}, {"start": 3257.6, "end": 3258.04, "word": " equation?", "probability": 0.98583984375}, {"start": 3258.78, "end": 3259.38, "word": " Here", "probability": 0.57373046875}, {"start": 3259.38, "end": 3259.72, "word": " first", "probability": 0.61767578125}, {"start": 3259.72, "end": 3259.88, "word": " we", "probability": 0.77197265625}, {"start": 3259.88, "end": 3260.06, "word": " have", "probability": 0.9072265625}, {"start": 3260.06, "end": 3260.16, "word": " to", "probability": 0.9638671875}, {"start": 3260.16, "end": 3260.46, "word": " compute", "probability": 0.93408203125}, {"start": 3260.46, "end": 3260.66, "word": " P'", "probability": 0.83203125}, {"start": 3260.96, "end": 3263.32, "word": " by", "probability": 0.83740234375}, {"start": 3263.32, "end": 3263.88, "word": " using", "probability": 0.88037109375}, {"start": 3263.88, "end": 3264.28, "word": " x1", "probability": 0.73388671875}, {"start": 3264.28, "end": 3264.52, "word": " plus", "probability": 0.452880859375}, {"start": 3264.52, "end": 3264.86, "word": " x2", "probability": 0.991943359375}, {"start": 3264.86, "end": 3265.1, "word": " over", "probability": 0.9091796875}, {"start": 3265.1, "end": 3265.4, "word": " n1", "probability": 0.8642578125}, {"start": 3265.4, "end": 3265.7, "word": " plus", "probability": 0.9638671875}, {"start": 3265.7, "end": 3266.1, "word": " n2.", "probability": 0.99755859375}, {"start": 3266.96, "end": 3267.56, "word": " In", "probability": 0.92626953125}, {"start": 3267.56, "end": 3267.84, "word": " this", "probability": 0.94384765625}, {"start": 3267.84, "end": 3268.3, "word": " example,", "probability": 0.9755859375}, {"start": 3269.42, "end": 3269.6, "word": " the", "probability": 0.8701171875}, {"start": 3269.6, "end": 3269.9, "word": " x's", "probability": 0.856201171875}, {"start": 3269.9, "end": 3270.04, "word": " are", "probability": 0.94189453125}, {"start": 3270.04, "end": 3270.24, "word": " not", "probability": 0.94287109375}, {"start": 3270.24, "end": 3270.5, "word": " given,", "probability": 0.892578125}, {"start": 3270.72, "end": 3270.86, "word": " but", "probability": 0.92333984375}, {"start": 3270.86, "end": 3271.02, "word": " we", "probability": 0.94287109375}, {"start": 3271.02, "end": 3271.14, "word": " have", "probability": 0.943359375}, {"start": 3271.14, "end": 3271.28, "word": " the", "probability": 0.88818359375}, {"start": 3271.28, "end": 3271.84, "word": " proportions.", "probability": 0.83154296875}], "temperature": 1.0}, {"id": 121, "seek": 329161, "start": 3272.77, "end": 3291.61, "text": " And we know that B1 equals X1 over N1. So X1 equals N1 times B1. So I got 99. Similarly, X2 and 2 times B2 is 96. So B dash is 629. So plug this value here, you will get 055.", "tokens": [400, 321, 458, 300, 363, 16, 6915, 1783, 16, 670, 426, 16, 13, 407, 1783, 16, 6915, 426, 16, 1413, 363, 16, 13, 407, 286, 658, 11803, 13, 13157, 11, 1783, 17, 293, 568, 1413, 363, 17, 307, 24124, 13, 407, 363, 8240, 307, 1386, 11871, 13, 407, 5452, 341, 2158, 510, 11, 291, 486, 483, 1958, 13622, 13], "avg_logprob": -0.20117188071211178, "compression_ratio": 1.286764705882353, "no_speech_prob": 0.0, "words": [{"start": 3272.77, "end": 3273.03, "word": " And", "probability": 0.339599609375}, {"start": 3273.03, "end": 3273.21, "word": " we", "probability": 0.822265625}, {"start": 3273.21, "end": 3273.37, "word": " know", "probability": 0.87841796875}, {"start": 3273.37, "end": 3273.69, "word": " that", "probability": 0.91455078125}, {"start": 3273.69, "end": 3274.13, "word": " B1", "probability": 0.755126953125}, {"start": 3274.13, "end": 3274.43, "word": " equals", "probability": 0.6005859375}, {"start": 3274.43, "end": 3274.81, "word": " X1", "probability": 0.756591796875}, {"start": 3274.81, "end": 3275.01, "word": " over", "probability": 0.88720703125}, {"start": 3275.01, "end": 3275.35, "word": " N1.", "probability": 0.962646484375}, {"start": 3275.43, "end": 3275.53, "word": " So", "probability": 0.923828125}, {"start": 3275.53, "end": 3275.93, "word": " X1", "probability": 0.833251953125}, {"start": 3275.93, "end": 3276.29, "word": " equals", "probability": 0.865234375}, {"start": 3276.29, "end": 3277.19, "word": " N1", "probability": 0.979736328125}, {"start": 3277.19, "end": 3277.51, "word": " times", "probability": 0.9189453125}, {"start": 3277.51, "end": 3277.95, "word": " B1.", "probability": 0.992919921875}, {"start": 3278.65, "end": 3278.83, "word": " So", "probability": 0.93408203125}, {"start": 3278.83, "end": 3278.97, "word": " I", "probability": 0.94677734375}, {"start": 3278.97, "end": 3279.19, "word": " got", "probability": 0.67236328125}, {"start": 3279.19, "end": 3279.59, "word": " 99.", "probability": 0.888671875}, {"start": 3280.29, "end": 3280.93, "word": " Similarly,", "probability": 0.82666015625}, {"start": 3281.05, "end": 3281.37, "word": " X2", "probability": 0.986572265625}, {"start": 3281.37, "end": 3281.55, "word": " and", "probability": 0.229736328125}, {"start": 3281.55, "end": 3281.71, "word": " 2", "probability": 0.6845703125}, {"start": 3281.71, "end": 3282.03, "word": " times", "probability": 0.91015625}, {"start": 3282.03, "end": 3282.43, "word": " B2", "probability": 0.989501953125}, {"start": 3282.43, "end": 3282.93, "word": " is", "probability": 0.44482421875}, {"start": 3282.93, "end": 3283.59, "word": " 96.", "probability": 0.9853515625}, {"start": 3284.03, "end": 3284.41, "word": " So", "probability": 0.9599609375}, {"start": 3284.41, "end": 3284.61, "word": " B", "probability": 0.97607421875}, {"start": 3284.61, "end": 3284.89, "word": " dash", "probability": 0.80859375}, {"start": 3284.89, "end": 3285.07, "word": " is", "probability": 0.8740234375}, {"start": 3285.07, "end": 3285.79, "word": " 629.", "probability": 0.691162109375}, {"start": 3287.17, "end": 3287.39, "word": " So", "probability": 0.958984375}, {"start": 3287.39, "end": 3287.63, "word": " plug", "probability": 0.833984375}, {"start": 3287.63, "end": 3287.97, "word": " this", "probability": 0.93701171875}, {"start": 3287.97, "end": 3288.75, "word": " value", "probability": 0.947265625}, {"start": 3288.75, "end": 3289.11, "word": " here,", "probability": 0.77783203125}, {"start": 3289.23, "end": 3289.37, "word": " you", "probability": 0.94580078125}, {"start": 3289.37, "end": 3289.53, "word": " will", "probability": 0.88037109375}, {"start": 3289.53, "end": 3289.97, "word": " get", "probability": 0.93505859375}, {"start": 3289.97, "end": 3291.61, "word": " 055.", "probability": 0.804443359375}], "temperature": 1.0}, {"id": 122, "seek": 332325, "start": 3296.17, "end": 3323.25, "text": " What's the value that is satisfactory to use in evaluating the alternative hypothesis? That there is a difference in the two population proportions. So we have to compute Z score, Z stat, which is V1 minus V2, which is 6%, minus 0, divided by this amount, 0.55. Now, 0.6 over 0.5 around 1.", "tokens": [708, 311, 264, 2158, 300, 307, 48614, 281, 764, 294, 27479, 264, 8535, 17291, 30, 663, 456, 307, 257, 2649, 294, 264, 732, 4415, 32482, 13, 407, 321, 362, 281, 14722, 1176, 6175, 11, 1176, 2219, 11, 597, 307, 691, 16, 3175, 691, 17, 11, 597, 307, 1386, 8923, 3175, 1958, 11, 6666, 538, 341, 2372, 11, 1958, 13, 13622, 13, 823, 11, 1958, 13, 21, 670, 1958, 13, 20, 926, 502, 13], "avg_logprob": -0.3515625112765544, "compression_ratio": 1.4427860696517414, "no_speech_prob": 0.0, "words": [{"start": 3296.17, "end": 3296.83, "word": " What's", "probability": 0.4130859375}, {"start": 3296.83, "end": 3297.15, "word": " the", "probability": 0.90380859375}, {"start": 3297.15, "end": 3297.65, "word": " value", "probability": 0.89453125}, {"start": 3297.65, "end": 3297.89, "word": " that", "probability": 0.7685546875}, {"start": 3297.89, "end": 3298.11, "word": " is", "probability": 0.229248046875}, {"start": 3298.11, "end": 3298.65, "word": " satisfactory", 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Now 9. 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So the critical regions are 1.96 and above or smaller than minus 1.96. Now, my z statistic is 1.903. Now this value falls in the non-rejection region. So we don't reject the non-hypothesis.", "tokens": [43230, 7998, 11, 4924, 4190, 286, 914, 13, 407, 264, 4924, 10682, 366, 502, 13, 22962, 293, 3673, 420, 4356, 813, 3175, 502, 13, 22962, 13, 823, 11, 452, 710, 29588, 307, 502, 13, 7771, 18, 13, 823, 341, 2158, 8804, 294, 264, 2107, 12, 265, 1020, 313, 4458, 13, 407, 321, 500, 380, 8248, 264, 2107, 12, 3495, 79, 4624, 271, 13], "avg_logprob": -0.24841307708993554, "compression_ratio": 1.4430379746835442, "no_speech_prob": 0.0, "words": [{"start": 3408.17, "end": 3408.65, "word": " Negative", "probability": 0.07171630859375}, {"start": 3408.65, "end": 3409.45, "word": " 196,", "probability": 0.77978515625}, {"start": 3410.39, "end": 3411.01, "word": " critical", "probability": 0.7744140625}, {"start": 3411.01, "end": 3411.37, "word": " values", "probability": 0.66015625}, {"start": 3411.37, "end": 3411.51, "word": " I", "probability": 0.84814453125}, {"start": 3411.51, "end": 3411.77, "word": " mean.", "probability": 0.95849609375}, {"start": 3412.81, "end": 3412.95, "word": " So", "probability": 0.84619140625}, {"start": 3412.95, "end": 3413.15, "word": " the", "probability": 0.70361328125}, {"start": 3413.15, "end": 3414.37, "word": " critical", "probability": 0.93310546875}, {"start": 3414.37, "end": 3414.91, "word": " regions", "probability": 0.927734375}, {"start": 3414.91, "end": 3415.25, "word": " are", "probability": 0.93310546875}, {"start": 3415.25, "end": 3415.69, "word": " 1", "probability": 0.7626953125}, {"start": 3415.69, "end": 3416.31, "word": ".96", "probability": 0.939208984375}, {"start": 3416.31, "end": 3416.55, "word": " and", "probability": 0.90380859375}, {"start": 3416.55, "end": 3416.93, "word": " above", "probability": 0.95458984375}, {"start": 3416.93, "end": 3417.87, "word": " or", "probability": 0.54931640625}, {"start": 3417.87, "end": 3418.23, "word": " smaller", "probability": 0.79248046875}, {"start": 3418.23, "end": 3418.49, "word": " than", "probability": 0.919921875}, {"start": 3418.49, "end": 3419.19, "word": " minus", "probability": 0.55224609375}, {"start": 3419.19, "end": 3419.45, "word": " 1", "probability": 0.9814453125}, {"start": 3419.45, "end": 3420.15, "word": ".96.", "probability": 0.906494140625}, {"start": 3421.43, "end": 3421.73, "word": " Now,", "probability": 0.87939453125}, {"start": 3422.63, "end": 3423.65, "word": " my", "probability": 0.9541015625}, {"start": 3423.65, "end": 3423.81, "word": " z", "probability": 0.60009765625}, {"start": 3423.81, "end": 3424.09, "word": " statistic", "probability": 0.58251953125}, {"start": 3424.09, "end": 3424.51, "word": " is", "probability": 0.9462890625}, {"start": 3424.51, "end": 3424.75, "word": " 1", "probability": 0.986328125}, {"start": 3424.75, "end": 3425.99, "word": ".903.", "probability": 0.76025390625}, {"start": 3427.29, "end": 3427.55, "word": " Now", "probability": 0.91650390625}, {"start": 3427.55, "end": 3427.91, "word": " this", "probability": 0.64697265625}, {"start": 3427.91, "end": 3428.37, "word": " value", "probability": 0.955078125}, {"start": 3428.37, "end": 3429.67, "word": " falls", "probability": 0.79541015625}, {"start": 3429.67, "end": 3430.17, "word": " in", "probability": 0.93359375}, {"start": 3430.17, "end": 3430.39, "word": " the", "probability": 0.908203125}, {"start": 3430.39, "end": 3430.57, "word": " non", "probability": 0.9345703125}, {"start": 3430.57, "end": 3431.05, "word": "-rejection", "probability": 0.8441162109375}, {"start": 3431.05, "end": 3431.45, "word": " region.", "probability": 0.90234375}, {"start": 3431.93, "end": 3432.61, "word": " So", "probability": 0.953125}, {"start": 3432.61, "end": 3432.77, "word": " we", "probability": 0.86669921875}, {"start": 3432.77, "end": 3433.03, "word": " don't", "probability": 0.95947265625}, {"start": 3433.03, "end": 3433.43, "word": " reject", "probability": 0.92333984375}, {"start": 3433.43, "end": 3433.59, "word": " the", "probability": 0.5947265625}, {"start": 3433.59, "end": 3433.67, "word": " non", "probability": 0.473876953125}, {"start": 3433.67, "end": 3434.31, "word": "-hypothesis.", "probability": 0.9009765625}], "temperature": 1.0}, {"id": 127, "seek": 345210, "start": 3436.9, "end": 3452.1, "text": " Ignore A and C, so the answer is either B or D. Now let's read B. Don't reject the null and conclude that the proportion of employees who are interested in self-improvement course has not changed.", "tokens": [24754, 418, 316, 293, 383, 11, 370, 264, 1867, 307, 2139, 363, 420, 413, 13, 823, 718, 311, 1401, 363, 13, 1468, 380, 8248, 264, 18184, 293, 16886, 300, 264, 16068, 295, 6619, 567, 366, 3102, 294, 2698, 12, 332, 46955, 518, 1164, 575, 406, 3105, 13], "avg_logprob": -0.263671883692344, "compression_ratio": 1.3493150684931507, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 3436.9, "end": 3437.5, "word": " Ignore", "probability": 0.5670166015625}, {"start": 3437.5, "end": 3437.74, "word": " A", "probability": 0.60009765625}, {"start": 3437.74, "end": 3438.84, "word": " and", "probability": 0.7783203125}, {"start": 3438.84, "end": 3439.18, "word": " C,", "probability": 0.89404296875}, {"start": 3439.64, "end": 3439.74, "word": " so", "probability": 0.40380859375}, {"start": 3439.74, "end": 3439.86, "word": " the", "probability": 0.84375}, {"start": 3439.86, "end": 3440.16, "word": " answer", "probability": 0.95947265625}, {"start": 3440.16, "end": 3440.42, "word": " is", "probability": 0.9375}, {"start": 3440.42, "end": 3440.74, "word": " either", "probability": 0.9453125}, {"start": 3440.74, "end": 3440.92, "word": " B", "probability": 0.9267578125}, {"start": 3440.92, "end": 3441.18, "word": " or", "probability": 0.96044921875}, {"start": 3441.18, "end": 3441.4, "word": " D.", "probability": 0.9697265625}, {"start": 3442.26, "end": 3442.46, "word": " Now", "probability": 0.59912109375}, {"start": 3442.46, "end": 3443.62, "word": " let's", "probability": 0.70654296875}, {"start": 3443.62, "end": 3443.98, "word": " read", "probability": 0.95458984375}, {"start": 3443.98, "end": 3444.6, "word": " B.", "probability": 0.54931640625}, {"start": 3445.14, "end": 3445.44, "word": " Don't", "probability": 0.914306640625}, {"start": 3445.44, "end": 3445.74, "word": " reject", "probability": 0.96435546875}, {"start": 3445.74, "end": 3445.94, "word": " the", "probability": 0.7158203125}, {"start": 3445.94, "end": 3446.1, "word": " null", "probability": 0.93505859375}, {"start": 3446.1, "end": 3446.36, "word": " and", "probability": 0.90478515625}, {"start": 3446.36, "end": 3446.8, "word": " conclude", "probability": 0.8466796875}, {"start": 3446.8, "end": 3447.1, "word": " that", "probability": 0.94091796875}, {"start": 3447.1, "end": 3447.22, "word": " the", "probability": 0.8681640625}, {"start": 3447.22, "end": 3447.62, "word": " proportion", "probability": 0.783203125}, {"start": 3447.62, "end": 3447.84, "word": " of", "probability": 0.974609375}, {"start": 3447.84, "end": 3448.24, "word": " employees", "probability": 0.0802001953125}, {"start": 3448.24, "end": 3448.62, "word": " who", "probability": 0.91748046875}, {"start": 3448.62, "end": 3448.82, "word": " are", "probability": 0.94775390625}, {"start": 3448.82, "end": 3449.3, "word": " interested", "probability": 0.84326171875}, {"start": 3449.3, "end": 3449.56, "word": " in", "probability": 0.94873046875}, {"start": 3449.56, "end": 3449.9, "word": " self", "probability": 0.62548828125}, {"start": 3449.9, "end": 3450.54, "word": "-improvement", "probability": 0.954345703125}, {"start": 3450.54, "end": 3450.86, "word": " course", "probability": 0.80810546875}, {"start": 3450.86, "end": 3451.4, "word": " has", "probability": 0.927734375}, {"start": 3451.4, "end": 3451.6, "word": " not", "probability": 0.93701171875}, {"start": 3451.6, "end": 3452.1, "word": " changed.", "probability": 0.912109375}], "temperature": 1.0}, {"id": 128, "seek": 348546, "start": 3457.04, "end": 3485.46, "text": " That's correct. Because we don't reject the null hypothesis. It means there is no significant difference. So it has not changed. Now, D, don't reject the null hypothesis and conclude the proportion of Obliques who are interested in a certain point has increased, which is incorrect. So B is the correct answer. So again, since my Z statistic falls in the non-rejection region, we don't reject the null hypothesis. So either B or D is the correct answer.", "tokens": [663, 311, 3006, 13, 1436, 321, 500, 380, 8248, 264, 18184, 17291, 13, 467, 1355, 456, 307, 572, 4776, 2649, 13, 407, 309, 575, 406, 3105, 13, 823, 11, 413, 11, 500, 380, 8248, 264, 18184, 17291, 293, 16886, 264, 16068, 295, 4075, 2081, 7519, 567, 366, 3102, 294, 257, 1629, 935, 575, 6505, 11, 597, 307, 18424, 13, 407, 363, 307, 264, 3006, 1867, 13, 407, 797, 11, 1670, 452, 1176, 29588, 8804, 294, 264, 2107, 12, 265, 1020, 313, 4458, 11, 321, 500, 380, 8248, 264, 18184, 17291, 13, 407, 2139, 363, 420, 413, 307, 264, 3006, 1867, 13], "avg_logprob": -0.24540441424823276, "compression_ratio": 1.853061224489796, "no_speech_prob": 0.0, "words": [{"start": 3457.04, "end": 3457.36, "word": " That's", "probability": 0.57470703125}, {"start": 3457.36, "end": 3457.74, "word": " correct.", "probability": 0.89208984375}, {"start": 3458.5, "end": 3459.02, "word": " Because", "probability": 0.8974609375}, {"start": 3459.02, "end": 3459.14, "word": 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That means we don't have sufficient evidence support that there is significant change between the two proportions. So there is no difference. So it has not changed. It's the correct one. So you have to choose B. So B is the most correct answer. Now, 10, 11, and 12.", "tokens": [583, 510, 321, 366, 1417, 466, 6022, 420, 500, 380, 8248, 264, 18184, 17291, 13, 663, 1355, 321, 500, 380, 362, 11563, 4467, 1406, 300, 456, 307, 4776, 1319, 1296, 264, 732, 32482, 13, 407, 456, 307, 572, 2649, 13, 407, 309, 575, 406, 3105, 13, 467, 311, 264, 3006, 472, 13, 407, 291, 362, 281, 2826, 363, 13, 407, 363, 307, 264, 881, 3006, 1867, 13, 823, 11, 1266, 11, 2975, 11, 293, 2272, 13], "avg_logprob": -0.15168425556901213, "compression_ratio": 1.5648148148148149, "no_speech_prob": 0.0, "words": [{"start": 3486.31, "end": 3486.59, "word": " But", "probability": 0.7353515625}, {"start": 3486.59, "end": 3486.77, "word": " here", "probability": 0.83740234375}, {"start": 3486.77, "end": 3486.89, "word": " we", "probability": 0.80615234375}, {"start": 3486.89, "end": 3487.01, "word": " are", "probability": 0.90576171875}, {"start": 3487.01, "end": 3487.35, "word": " talking", "probability": 0.85791015625}, {"start": 3487.35, "end": 3487.93, "word": " 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It's similar. And as we mentioned before, 99% will give the widest confidence interval. And the answers for these are 14, 11, 14,", "tokens": [22445, 466, 39969, 6687, 15035, 11803, 11, 13420, 11, 293, 4289, 6856, 467, 311, 2531, 13, 400, 382, 321, 2835, 949, 11, 11803, 4, 486, 976, 264, 5274, 377, 6687, 15035, 13, 400, 264, 6338, 337, 613, 366, 3499, 11, 2975, 11, 3499, 11], "avg_logprob": -0.20381944311989678, "compression_ratio": 1.3661971830985915, "no_speech_prob": 0.0, "words": [{"start": 3512.68, "end": 3513.6, "word": " Talking", "probability": 0.427734375}, {"start": 3513.6, "end": 3514.12, "word": " about", "probability": 0.90087890625}, {"start": 3514.12, "end": 3515.6, "word": " constructing", "probability": 0.87353515625}, {"start": 3515.6, "end": 3516.18, "word": " confidence", "probability": 0.9482421875}, {"start": 3516.18, "end": 3516.68, "word": " interval", "probability": 0.91796875}, {"start": 3516.68, "end": 3517.14, "word": " 99,", "probability": 0.81591796875}, {"start": 3518.04, "end": 3518.98, "word": " 95,", "probability": 0.96728515625}, {"start": 3519.12, "end": 3519.34, "word": " and", "probability": 0.8662109375}, {"start": 3519.34, "end": 3520.14, "word": " 90%.", "probability": 0.719482421875}, {"start": 3520.14, "end": 3521.38, "word": " It's", "probability": 0.887939453125}, {"start": 3521.38, "end": 3521.7, "word": " similar.", "probability": 0.970703125}, {"start": 3522.62, "end": 3523.14, "word": " And", "probability": 0.89697265625}, {"start": 3523.14, "end": 3523.52, "word": " as", "probability": 0.81201171875}, {"start": 3523.52, "end": 3523.64, "word": " we", "probability": 0.919921875}, {"start": 3523.64, "end": 3523.88, "word": " mentioned", "probability": 0.8310546875}, {"start": 3523.88, "end": 3524.26, "word": " before,", "probability": 0.83349609375}, {"start": 3524.4, "end": 3524.68, "word": " 99", "probability": 0.97119140625}, {"start": 3524.68, "end": 3525.18, "word": "%", "probability": 0.982421875}, {"start": 3525.18, "end": 3525.4, "word": " will", "probability": 0.826171875}, {"start": 3525.4, "end": 3525.64, "word": " give", "probability": 0.76123046875}, {"start": 3525.64, "end": 3526.14, "word": " the", "probability": 0.91357421875}, {"start": 3526.14, "end": 3526.96, "word": " widest", "probability": 0.914306640625}, {"start": 3526.96, "end": 3528.36, "word": " confidence", "probability": 0.9814453125}, {"start": 3528.36, "end": 3529.02, "word": " interval.", "probability": 0.96630859375}, {"start": 3529.62, "end": 3529.82, "word": " And", "probability": 0.9443359375}, {"start": 3529.82, "end": 3529.98, "word": " the", "probability": 0.88720703125}, {"start": 3529.98, "end": 3530.44, "word": " answers", "probability": 0.86962890625}, {"start": 3530.44, "end": 3530.94, "word": " for", "probability": 0.951171875}, {"start": 3530.94, "end": 3532.76, "word": " these", "probability": 0.73681640625}, {"start": 3532.76, "end": 3534.06, "word": " are", "probability": 0.9345703125}, {"start": 3534.06, "end": 3535.7, "word": " 14,", "probability": 0.62841796875}, {"start": 3535.8, "end": 3536.1, "word": " 11,", "probability": 0.9306640625}, {"start": 3537.12, "end": 3537.74, "word": " 14,", "probability": 0.9697265625}], "temperature": 1.0}, {"id": 131, "seek": 356698, "start": 3539.06, "end": 3566.98, "text": " is negative 0.8 to 20%. For 11, 0.5, negative 0.5 to 17. For 90%, negative 0.3 to 0.15. So this is the widest confidence interval, which was for 99%. So similar as the previous one we had discussed. So for 99, always we get", "tokens": [307, 3671, 1958, 13, 23, 281, 945, 6856, 1171, 2975, 11, 1958, 13, 20, 11, 3671, 1958, 13, 20, 281, 3282, 13, 1171, 4289, 8923, 3671, 1958, 13, 18, 281, 1958, 13, 5211, 13, 407, 341, 307, 264, 5274, 377, 6687, 15035, 11, 597, 390, 337, 11803, 6856, 407, 2531, 382, 264, 3894, 472, 321, 632, 7152, 13, 407, 337, 11803, 11, 1009, 321, 483], "avg_logprob": -0.1504498121864868, "compression_ratio": 1.435897435897436, "no_speech_prob": 0.0, "words": [{"start": 3539.06, "end": 3539.36, "word": " is", "probability": 0.30712890625}, {"start": 3539.36, "end": 3539.76, "word": " negative", "probability": 0.61083984375}, {"start": 3539.76, "end": 3540.08, "word": " 0", "probability": 0.75927734375}, {"start": 3540.08, "end": 3540.38, "word": ".8", "probability": 0.762939453125}, {"start": 3540.38, "end": 3540.94, "word": " to", "probability": 0.841796875}, {"start": 3540.94, "end": 3541.96, "word": " 20%.", "probability": 0.7177734375}, {"start": 3541.96, "end": 3544.3, "word": " For", "probability": 0.86474609375}, {"start": 3544.3, "end": 3544.72, "word": " 11,", "probability": 0.89990234375}, {"start": 3545.04, "end": 3545.74, "word": " 0", "probability": 0.578125}, {"start": 3545.74, "end": 3546.22, "word": ".5,", "probability": 0.9287109375}, {"start": 3546.32, "end": 3546.58, "word": " negative", "probability": 0.89208984375}, {"start": 3546.58, "end": 3546.84, "word": " 0", "probability": 0.98876953125}, {"start": 3546.84, "end": 3547.08, "word": ".5", "probability": 0.99755859375}, {"start": 3547.08, "end": 3547.24, "word": " to", "probability": 0.9580078125}, {"start": 3547.24, "end": 3547.68, "word": " 17.", "probability": 0.95166015625}, {"start": 3549.04, "end": 3549.72, "word": " For", "probability": 0.9208984375}, {"start": 3549.72, "end": 3550.66, "word": " 90%,", "probability": 0.92919921875}, {"start": 3550.66, "end": 3551.24, "word": " negative", "probability": 0.9384765625}, {"start": 3551.24, "end": 3551.54, "word": " 0", "probability": 0.97802734375}, {"start": 3551.54, "end": 3551.72, "word": ".3", "probability": 0.94580078125}, {"start": 3551.72, "end": 3551.88, "word": " to", "probability": 0.95654296875}, {"start": 3551.88, "end": 3552.1, "word": " 0", "probability": 0.755859375}, {"start": 3552.1, "end": 3552.48, "word": ".15.", "probability": 0.99560546875}, {"start": 3552.96, "end": 3553.18, "word": " So", "probability": 0.9521484375}, {"start": 3553.18, "end": 3553.44, "word": " this", "probability": 0.8115234375}, {"start": 3553.44, "end": 3553.58, "word": " is", "probability": 0.9404296875}, {"start": 3553.58, "end": 3553.74, "word": " the", "probability": 0.9228515625}, {"start": 3553.74, "end": 3554.38, "word": " widest", "probability": 0.90869140625}, {"start": 3554.38, "end": 3555.42, "word": " confidence", "probability": 0.978515625}, {"start": 3555.42, "end": 3555.88, "word": " interval,", "probability": 0.9736328125}, {"start": 3555.88, "end": 3556.18, "word": " which", "probability": 0.9482421875}, {"start": 3556.18, "end": 3556.48, "word": " was", "probability": 0.94921875}, {"start": 3556.48, "end": 3556.74, "word": " for", "probability": 0.83935546875}, {"start": 3556.74, "end": 3557.9, "word": " 99%.", "probability": 0.970947265625}, {"start": 3557.9, "end": 3558.94, "word": " So", "probability": 0.94140625}, {"start": 3558.94, "end": 3559.34, "word": " similar", "probability": 0.93701171875}, {"start": 3559.34, "end": 3560.62, "word": " as", "probability": 0.8427734375}, {"start": 3560.62, "end": 3562.22, "word": " the", "probability": 0.91552734375}, {"start": 3562.22, "end": 3562.6, "word": " previous", "probability": 0.8388671875}, {"start": 3562.6, "end": 3562.86, "word": " one", "probability": 0.9326171875}, {"start": 3562.86, "end": 3563.02, "word": " we", "probability": 0.94140625}, {"start": 3563.02, "end": 3563.32, "word": " had", "probability": 0.88525390625}, {"start": 3563.32, "end": 3564.46, "word": " discussed.", "probability": 0.87451171875}, {"start": 3564.9, "end": 3565.14, "word": " So", "probability": 0.9482421875}, {"start": 3565.14, "end": 3565.4, "word": " for", "probability": 0.9462890625}, {"start": 3565.4, "end": 3565.78, "word": " 99,", "probability": 0.97412109375}, {"start": 3565.98, "end": 3566.36, "word": " always", "probability": 0.8896484375}, {"start": 3566.36, "end": 3566.64, "word": " we", "probability": 0.82373046875}, {"start": 3566.64, "end": 3566.98, "word": " get", "probability": 0.9453125}], "temperature": 1.0}, {"id": 132, "seek": 358135, "start": 3567.81, "end": 3581.35, "text": " The widest confidence interval. Any question? That's all. Next time shall start chapter 12, Chi-square test of independence.", "tokens": [440, 5274, 377, 6687, 15035, 13, 2639, 1168, 30, 663, 311, 439, 13, 3087, 565, 4393, 722, 7187, 2272, 11, 17730, 12, 33292, 543, 1500, 295, 14640, 13], "avg_logprob": -0.3098060468147541, "compression_ratio": 1.1160714285714286, "no_speech_prob": 0.0, "words": [{"start": 3567.81, "end": 3568.09, "word": " The", "probability": 0.387939453125}, {"start": 3568.09, "end": 3568.59, "word": " widest", "probability": 0.912841796875}, {"start": 3568.59, "end": 3569.09, "word": " confidence", "probability": 0.350830078125}, {"start": 3569.09, "end": 3570.61, "word": " interval.", "probability": 0.96435546875}, {"start": 3572.05, "end": 3572.23, "word": " Any", "probability": 0.728515625}, {"start": 3572.23, "end": 3572.57, "word": " question?", "probability": 0.626953125}, {"start": 3574.25, "end": 3575.17, "word": " That's", "probability": 0.8994140625}, {"start": 3575.17, "end": 3575.53, "word": " all.", "probability": 0.86962890625}, {"start": 3576.35, "end": 3576.65, "word": " Next", "probability": 0.92626953125}, {"start": 3576.65, "end": 3576.85, "word": " time", "probability": 0.64599609375}, {"start": 3576.85, "end": 3577.05, "word": " shall", "probability": 0.354248046875}, {"start": 3577.05, "end": 3577.49, "word": " start", "probability": 0.6982421875}, {"start": 3577.49, "end": 3577.95, "word": " chapter", "probability": 0.59326171875}, {"start": 3577.95, "end": 3578.47, "word": " 12,", "probability": 0.734375}, {"start": 3579.35, "end": 3579.55, "word": " Chi", "probability": 0.44482421875}, {"start": 3579.55, "end": 3579.93, "word": "-square", "probability": 0.7141927083333334}, {"start": 3579.93, "end": 3580.39, "word": " test", "probability": 0.86962890625}, {"start": 3580.39, "end": 3580.85, "word": " of", "probability": 0.9599609375}, {"start": 3580.85, "end": 3581.35, "word": " independence.", "probability": 0.77685546875}], "temperature": 1.0}], "language": "en", "language_probability": 1.0, "duration": 3582.81575, "duration_after_vad": 3362.065343749984} \ No newline at end of file diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/0UQx5fYO0DE.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/0UQx5fYO0DE.srt new file mode 100644 index 0000000000000000000000000000000000000000..2ccc11358d89e925b7c208f7c575b033c732d00e --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/0UQx5fYO0DE.srt @@ -0,0 +1,2219 @@ + +1 +00:00:11,850 --> 00:00:16,370 +Inshallah we'll start numerical descriptive measures + +2 +00:00:16,370 --> 00:00:22,270 +for the population. Last time we talked about the + +3 +00:00:22,270 --> 00:00:25,780 +same measures. I mean the same descriptive measures + +4 +00:00:25,780 --> 00:00:29,180 +for a sample. And we have already talked about the + +5 +00:00:29,180 --> 00:00:35,080 +mean, variance, and standard deviation. These are + +6 +00:00:35,080 --> 00:00:38,580 +called statistics because they are computed from + +7 +00:00:38,580 --> 00:00:43,140 +the sample. Here we'll see how can we do the same + +8 +00:00:44,300 --> 00:00:47,320 +measures but for a population, I mean for the + +9 +00:00:47,320 --> 00:00:53,020 +entire dataset. So descriptive statistics + +10 +00:00:53,020 --> 00:00:57,860 +described previously in the last two lectures was + +11 +00:00:57,860 --> 00:01:04,200 +for a sample. Here we'll just see how can we + +12 +00:01:04,200 --> 00:01:07,740 +compute these measures for the entire population. + +13 +00:01:08,480 --> 00:01:11,600 +In this case, the statistics we talked about + +14 +00:01:11,600 --> 00:01:17,200 +before are called And if you remember the first + +15 +00:01:17,200 --> 00:01:19,800 +lecture, we said there is a difference between + +16 +00:01:19,800 --> 00:01:24,300 +statistics and parameters. A statistic is a value + +17 +00:01:24,300 --> 00:01:27,520 +that computed from a sample, but parameter is a + +18 +00:01:27,520 --> 00:01:32,140 +value computed from population. So the important + +19 +00:01:32,140 --> 00:01:37,020 +population parameters are population mean, + +20 +00:01:37,660 --> 00:01:43,560 +variance, and standard deviation. Let's start with + +21 +00:01:43,560 --> 00:01:45,880 +the first one, the mean, or the population mean. + +22 +00:01:46,980 --> 00:01:50,720 +As the sample mean is defined by the sum of the + +23 +00:01:50,720 --> 00:01:55,120 +values divided by the sample size. But here, we + +24 +00:01:55,120 --> 00:01:57,880 +have to divide by the population size. So that's + +25 +00:01:57,880 --> 00:02:01,140 +the difference between sample mean and population + +26 +00:02:01,140 --> 00:02:08,950 +mean. For the sample mean, we use x bar. Here we + +27 +00:02:08,950 --> 00:02:14,790 +use Greek letter, mu. This is pronounced as mu. So + +28 +00:02:14,790 --> 00:02:18,790 +mu is the sum of the x values divided by the + +29 +00:02:18,790 --> 00:02:21,210 +population size, not the sample size. So it's + +30 +00:02:21,210 --> 00:02:24,570 +quite similar to the sample mean. So mu is the + +31 +00:02:24,570 --> 00:02:28,030 +population mean, n is the population size, and xi + +32 +00:02:28,030 --> 00:02:33,270 +is the ith value of the variable x. Similarly, for + +33 +00:02:33,270 --> 00:02:37,310 +the other parameter, which is the variance, the + +34 +00:02:37,310 --> 00:02:41,520 +variance There is a little difference between the + +35 +00:02:41,520 --> 00:02:45,480 +sample and population variance. Here, we subtract + +36 +00:02:45,480 --> 00:02:49,700 +the population mean instead of the sample mean. So + +37 +00:02:49,700 --> 00:02:55,140 +sum of xi minus mu squared, then divide by this + +38 +00:02:55,140 --> 00:02:59,140 +population size, capital N, instead of N minus 1. + +39 +00:02:59,520 --> 00:03:02,260 +So that's the difference between sample and + +40 +00:03:02,260 --> 00:03:07,020 +population variance. So again, in the sample + +41 +00:03:07,020 --> 00:03:12,080 +variance, we subtracted x bar. Here, we subtract + +42 +00:03:12,080 --> 00:03:15,640 +the mean of the population, mu, then divide by + +43 +00:03:15,640 --> 00:03:20,200 +capital N instead of N minus 1. So the + +44 +00:03:20,200 --> 00:03:24,000 +computations for the sample and the population + +45 +00:03:24,000 --> 00:03:30,220 +mean or variance are quite similar. Finally, the + +46 +00:03:30,220 --> 00:03:35,390 +population standard deviation. is the same as the + +47 +00:03:35,390 --> 00:03:38,810 +sample population variance and here just take the + +48 +00:03:38,810 --> 00:03:43,170 +square root of the population variance and again + +49 +00:03:43,170 --> 00:03:47,170 +as we did as we explained before the standard + +50 +00:03:47,170 --> 00:03:51,550 +deviation has the same units as the original unit + +51 +00:03:51,550 --> 00:03:57,130 +so nothing is new we just extend the sample + +52 +00:03:57,130 --> 00:04:02,410 +statistic to the population parameter and again + +53 +00:04:04,030 --> 00:04:08,790 +The mean is denoted by mu, it's a Greek letter. + +54 +00:04:10,210 --> 00:04:12,790 +The population variance is denoted by sigma + +55 +00:04:12,790 --> 00:04:17,030 +squared. And finally, the population standard + +56 +00:04:17,030 --> 00:04:21,130 +deviation is denoted by sigma. So that's the + +57 +00:04:21,130 --> 00:04:24,250 +numerical descriptive measures either for a sample + +58 +00:04:24,250 --> 00:04:28,590 +or a population. So just summary for these + +59 +00:04:28,590 --> 00:04:33,330 +measures. The measures are mean variance, standard + +60 +00:04:33,330 --> 00:04:38,250 +deviation. Population parameters are mu for the + +61 +00:04:38,250 --> 00:04:43,830 +mean, sigma squared for variance, and sigma for + +62 +00:04:43,830 --> 00:04:46,710 +standard deviation. On the other hand, for the + +63 +00:04:46,710 --> 00:04:51,430 +sample statistics, we have x bar for sample mean, + +64 +00:04:52,110 --> 00:04:56,750 +s squared for the sample variance, and s is the + +65 +00:04:56,750 --> 00:05:00,410 +sample standard deviation. That's sample + +66 +00:05:00,410 --> 00:05:05,360 +statistics against population parameters. Any + +67 +00:05:05,360 --> 00:05:05,700 +question? + +68 +00:05:10,940 --> 00:05:17,240 +Let's move to a new topic, which is empirical rule. + +69 +00:05:19,340 --> 00:05:25,620 +Now, empirical rule is just we + +70 +00:05:25,620 --> 00:05:30,120 +have to approximate the variation of data in case + +71 +00:05:30,120 --> 00:05:34,950 +of They'll shift. I mean suppose the data is + +72 +00:05:34,950 --> 00:05:37,770 +symmetric around the mean. I mean by symmetric + +73 +00:05:37,770 --> 00:05:42,310 +around the mean, the mean is the vertical line + +74 +00:05:42,310 --> 00:05:46,570 +that splits the data into two halves. One to the + +75 +00:05:46,570 --> 00:05:49,570 +right and the other to the left. I mean, the mean, + +76 +00:05:49,870 --> 00:05:52,650 +the area to the right of the mean equals 50%, + +77 +00:05:52,650 --> 00:05:54,970 +which is the same as the area to the left of the + +78 +00:05:54,970 --> 00:05:58,710 +mean. Now suppose or consider the data is bell + +79 +00:05:58,710 --> 00:06:02,570 +-shaped. Bell-shaped, normal, or symmetric? So + +80 +00:06:02,570 --> 00:06:04,290 +it's not skewed either to the right or to the + +81 +00:06:04,290 --> 00:06:08,030 +left. So here we assume, okay, the data is bell + +82 +00:06:08,030 --> 00:06:13,430 +-shaped. In this scenario, in this case, there is + +83 +00:06:13,430 --> 00:06:22,100 +a rule called 68, 95, 99.7 rule. Number one, + +84 +00:06:22,960 --> 00:06:26,300 +approximately 68% of the data in a bell-shaped + +85 +00:06:26,300 --> 00:06:31,780 +lies within one standard deviation of the + +86 +00:06:31,780 --> 00:06:37,100 +population. So this is the first rule, 68% of the + +87 +00:06:37,100 --> 00:06:43,920 +data or of the observations Lie within a mu minus + +88 +00:06:43,920 --> 00:06:48,880 +sigma and a mu plus sigma. That's the meaning of + +89 +00:06:48,880 --> 00:06:51,800 +the data in a bell-shaped distribution is within one + +90 +00:06:51,800 --> 00:06:55,900 +standard deviation of mean or mu plus or minus + +91 +00:06:55,900 --> 00:07:01,480 +sigma. So again, you can say that if the data is + +92 +00:07:01,480 --> 00:07:04,100 +normally distributed or if the data is bell + +93 +00:07:04,100 --> 00:07:12,210 +shaped, that is 68% of the data lies within one + +94 +00:07:12,210 --> 00:07:16,250 +standard deviation of the mean, either below or + +95 +00:07:16,250 --> 00:07:21,710 +above it. So 68% of the data. So this is the first + +96 +00:07:21,710 --> 00:07:22,090 +rule. + +97 +00:07:29,050 --> 00:07:37,170 +68% of the data lies between mu minus sigma and mu + +98 +00:07:37,170 --> 00:07:37,750 +plus sigma. + +99 +00:07:40,480 --> 00:07:46,260 +The other rule is approximately 95% of the data in + +100 +00:07:46,260 --> 00:07:48,980 +a bell-shaped distribution lies within two + +101 +00:07:48,980 --> 00:07:53,240 +standard deviations of the mean. That means this + +102 +00:07:53,240 --> 00:08:00,880 +area covers between minus two sigma and plus mu + +103 +00:08:00,880 --> 00:08:08,360 +plus two sigma. So 95% of the data lies between + +104 +00:08:08,360 --> 00:08:15,410 +minus mu two sigma And finally, + +105 +00:08:15,790 --> 00:08:21,270 +approximately 99.7% of the data, it means almost + +106 +00:08:21,270 --> 00:08:25,490 +the data. Because we are saying 99.7 means most of + +107 +00:08:25,490 --> 00:08:29,930 +the data falls or lies within three standard + +108 +00:08:29,930 --> 00:08:37,770 +deviations of the mean. So 99.7% of the data lies + +109 +00:08:37,770 --> 00:08:41,470 +between mu minus the pre-sigma and the mu plus of + +110 +00:08:41,470 --> 00:08:41,870 +pre-sigma. + +111 +00:08:45,030 --> 00:08:49,810 +68, 95, 99.7 are fixed numbers. Later in chapter + +112 +00:08:49,810 --> 00:08:55,010 +6, we will explain in details other coefficients. + +113 +00:08:55,530 --> 00:08:58,250 +Maybe suppose we are interested not in one of + +114 +00:08:58,250 --> 00:09:03,010 +these. Suppose we are interested in 90% or 80% or + +115 +00:09:03,010 --> 00:09:11,500 +85%. This rule just for 689599.7. This rule is + +116 +00:09:11,500 --> 00:09:15,560 +called 689599 + +117 +00:09:15,560 --> 00:09:22,960 +.7 rule. That is, again, 68% of the data lies + +118 +00:09:22,960 --> 00:09:27,030 +within one standard deviation of the mean. 95% of + +119 +00:09:27,030 --> 00:09:30,370 +the data lies within two standard deviations of + +120 +00:09:30,370 --> 00:09:33,850 +the mean. And finally, most of the data falls + +121 +00:09:33,850 --> 00:09:36,950 +within three standard deviations of the mean. + +122 +00:09:39,870 --> 00:09:43,330 +Let's see how can we use this empirical rule for a + +123 +00:09:43,330 --> 00:09:49,850 +specific example. Imagine that the variable math + +124 +00:09:49,850 --> 00:09:54,070 +test scores is bell shaped. So here we assume that + +125 +00:09:55,230 --> 00:10:00,950 +The math test score has symmetric shape or bell + +126 +00:10:00,950 --> 00:10:04,230 +shape. In this case, we can use the previous rule. + +127 +00:10:04,350 --> 00:10:09,610 +Otherwise, we cannot. So assume the math test + +128 +00:10:09,610 --> 00:10:15,750 +score is bell-shaped with a mean of 500. I mean, + +129 +00:10:16,410 --> 00:10:19,750 +the population mean is 500 and standard deviation + +130 +00:10:19,750 --> 00:10:24,620 +of 90. And let's see how can we apply the + +131 +00:10:24,620 --> 00:10:29,220 +empirical rule. So again, meta score has a mean of + +132 +00:10:29,220 --> 00:10:35,300 +500 and standard deviation sigma is 90. Then we + +133 +00:10:35,300 --> 00:10:43,200 +can say that 60% of all test takers scored between + +134 +00:10:43,200 --> 00:10:46,640 +68%. + +135 +00:10:46,640 --> 00:10:56,550 +So mu is 500. minus sigma is 90. And mu plus + +136 +00:10:56,550 --> 00:11:05,390 +sigma, 500 plus 90. So you can say that 68% or 230 + +137 +00:11:05,390 --> 00:11:15,610 +of all test takers scored between 410 and 590. So + +138 +00:11:15,610 --> 00:11:22,900 +68% of all test takers who took that exam scored + +139 +00:11:22,900 --> 00:11:27,740 +between 14 and 590. That if we assume previously + +140 +00:11:27,740 --> 00:11:29,980 +the data is well shaped, otherwise we cannot say + +141 +00:11:29,980 --> 00:11:36,420 +that. For the other rule, 95% of all test takers + +142 +00:11:36,420 --> 00:11:44,400 +scored between mu is 500 minus 2 times sigma, 500 + +143 +00:11:44,400 --> 00:11:49,760 +plus 2 times sigma. So that means 500 minus 180 is + +144 +00:11:49,760 --> 00:11:55,100 +320. 500 plus 180 is 680. So you can say that + +145 +00:11:55,100 --> 00:11:59,080 +approximately 95% of all test takers scored + +146 +00:11:59,080 --> 00:12:07,860 +between 320 and 680. Finally, you can say that + +147 +00:12:10,770 --> 00:12:13,570 +all of the test takers, approximately all, because + +148 +00:12:13,570 --> 00:12:20,030 +when we are saying 99.7 it means just 0.3 is the + +149 +00:12:20,030 --> 00:12:23,590 +rest, so you can say approximately all test takers + +150 +00:12:23,590 --> 00:12:30,730 +scored between mu minus three sigma which is 90 + +151 +00:12:30,730 --> 00:12:39,830 +and mu It lost 3 seconds. So 500 minus 3 times 9 + +152 +00:12:39,830 --> 00:12:45,950 +is 270. So that's 230. 500 plus 270 is 770. So we + +153 +00:12:45,950 --> 00:12:49,690 +can say that 99.7% of all the stackers scored + +154 +00:12:49,690 --> 00:12:55,610 +between 230 and 770. I will give another example + +155 +00:12:55,610 --> 00:12:59,210 +just to make sure that you understand the meaning + +156 +00:12:59,210 --> 00:13:00,870 +of this rule. + +157 +00:13:03,620 --> 00:13:09,720 +For business, a statistic goes. + +158 +00:13:15,720 --> 00:13:20,720 +For business, a statistic example. Suppose the + +159 +00:13:20,720 --> 00:13:29,740 +scores are bell-shaped. So we are assuming the + +160 +00:13:29,740 --> 00:13:40,970 +data is bell-shaped. with a mean of 75 and standard + +161 +00:13:40,970 --> 00:13:41,950 +deviation of 5. + +162 +00:13:44,990 --> 00:13:53,810 +Also, let's assume that 100 students took + +163 +00:13:53,810 --> 00:14:00,840 +the exam. So we have 100 students. Last year took + +164 +00:14:00,840 --> 00:14:05,360 +the exam of business statistics. The mean was 75. + +165 +00:14:06,240 --> 00:14:10,920 +And standard deviation was 5. And let's see how it + +166 +00:14:10,920 --> 00:14:17,100 +can tell about the 68% rule. It means that 68% + +167 +00:14:17,100 --> 00:14:22,100 +of all the students scored + +168 +00:14:22,100 --> 00:14:28,650 +between mu minus sigma. Mu is 75. minus sigma and + +169 +00:14:28,650 --> 00:14:29,610 +the mu plus sigma. + +170 +00:14:33,590 --> 00:14:39,290 +So that means 68 students, because we have 100, so + +171 +00:14:39,290 --> 00:14:45,410 +you can say 68 students scored between 70 and 80. + +172 +00:14:46,610 --> 00:14:53,290 +So 68 students out of 100 scored between 70 and + +173 +00:14:53,290 --> 00:15:02,990 +80. About 95 students out of 100 scored between 75 + +174 +00:15:02,990 --> 00:15:12,190 +minus 2 times 5. 75 plus 2 times 5. So that gives + +175 +00:15:12,190 --> 00:15:13,770 +65. + +176 +00:15:15,550 --> 00:15:20,950 +The minimum and the maximum is 85. So you can say + +177 +00:15:20,950 --> 00:15:25,930 +that around 95 students scored between 65 and 85. + +178 +00:15:26,650 --> 00:15:33,510 +Finally, maybe you can see all students. Because + +179 +00:15:33,510 --> 00:15:38,650 +when you're saying 99.7, it means almost all the + +180 +00:15:38,650 --> 00:15:47,210 +students scored between 75 minus 3 times Y. and 75 + +181 +00:15:47,210 --> 00:15:52,970 +plus three times one. So that's 6 days in two + +182 +00:15:52,970 --> 00:15:59,150 +nights. Now let's look carefully at these three + +183 +00:15:59,150 --> 00:16:04,910 +intervals. The first one is seven to eight, the + +184 +00:16:04,910 --> 00:16:11,050 +other one 65 to 85, then 6 to 90. When we are + +185 +00:16:11,050 --> 00:16:11,790 +more confident, + +186 +00:16:15,170 --> 00:16:20,630 +When we are more confident here for 99.7%, the + +187 +00:16:20,630 --> 00:16:25,930 +interval becomes wider. So this is the widest + +188 +00:16:25,930 --> 00:16:31,430 +interval. Because here, the length of the interval + +189 +00:16:31,430 --> 00:16:37,090 +is around 10. The other one is 20. + +223 +00:19:32,970 --> 00:19:36,370 +falls within two standard ratios. That if the data + +224 +00:19:36,370 --> 00:19:39,350 +is bell shaped. Now what's about if the data is + +225 +00:19:39,350 --> 00:19:43,210 +not bell shaped? We have to use the shape-shape rule. + +226 +00:19:43,830 --> 00:19:51,170 +So 1 minus 1 over k is 2. So 2, 2, 2 squared. So 1 + +227 +00:19:51,170 --> 00:19:58,130 +minus 1 fourth. That gives. three quarters, I + +228 +00:19:58,130 --> 00:20:03,370 +mean, 75%. So instead of saying 95% of the data + +229 +00:20:03,370 --> 00:20:06,850 +lies within one or two standard deviations of the + +230 +00:20:06,850 --> 00:20:13,070 +mean, if the data is bell-shaped, if the data is + +231 +00:20:13,070 --> 00:20:17,590 +not bell-shaped, you have to say that 75% of the + +232 +00:20:17,590 --> 00:20:22,190 +data falls within two standard deviations. For + +233 +00:20:22,190 --> 00:20:26,570 +bell shape, you are 95% confident there. But here, + +234 +00:20:27,190 --> 00:20:36,710 +you're just 75% confident. Suppose k is 3. Now for + +235 +00:20:36,710 --> 00:20:41,110 +k equal 3, we said 99.7% of the data falls within + +236 +00:20:41,110 --> 00:20:44,890 +three standard deviations. Now here, if the data + +237 +00:20:44,890 --> 00:20:51,940 +is not bell shape, 1 minus 1 over k squared. 1 + +238 +00:20:51,940 --> 00:20:56,540 +minus 1 + +239 +00:20:56,540 --> 00:21:00,760 +over 3 squared is one-ninth. One-ninth is 0.11. 1 + +240 +00:21:00,760 --> 00:21:06,440 +minus 0.11 means 89% of the data, instead of + +241 +00:21:06,440 --> 00:21:13,900 +saying 99.7. So 89% of the data will fall within + +242 +00:21:13,900 --> 00:21:16,460 +three standard deviations of the population mean. + +243 +00:21:18,510 --> 00:21:22,610 +regardless of how the data are distributed around + +244 +00:21:22,610 --> 00:21:26,350 +them. So here, we have two scenarios. One, if the + +245 +00:21:26,350 --> 00:21:29,390 +data is symmetric, which is called the empirical rule + +246 +00:21:29,390 --> 00:21:34,710 +68959917. And the other one is called the shape-by + +247 +00:21:34,710 --> 00:21:38,370 +-shape rule, and that regardless of the shape of + +248 +00:21:38,370 --> 00:21:38,710 +the data. + +249 +00:21:41,890 --> 00:21:49,210 +Excuse me? Yes. In this case, you don't know the + +250 +00:21:49,210 --> 00:21:51,490 +distribution of the data. And the reality is + +251 +00:21:51,490 --> 00:21:58,650 +sometimes the data has an unknown distribution. For + +252 +00:21:58,650 --> 00:22:02,590 +this reason, we have to use chip-chip portions. + +253 +00:22:05,410 --> 00:22:09,830 +That's all for the empirical rule and the chip-chip rule. + +254 +00:22:11,230 --> 00:22:18,150 +The next topic is quartile measures. So far, we + +255 +00:22:18,150 --> 00:22:24,330 +have discussed central tendency measures, and we + +256 +00:22:24,330 --> 00:22:28,450 +have talked about mean, median, and more. Then we + +257 +00:22:28,450 --> 00:22:32,830 +moved to location of variability or spread or + +258 +00:22:32,830 --> 00:22:37,810 +dispersion. And we talked about range, variance, + +259 +00:22:37,950 --> 00:22:38,890 +and standardization. + +260 +00:22:41,570 --> 00:22:48,230 +And we said that outliers affect the mean much + +261 +00:22:48,230 --> 00:22:51,470 +more than the median. And also, outliers affect + +262 +00:22:51,470 --> 00:22:55,730 +the range. Here, we'll talk about other measures + +263 +00:22:55,730 --> 00:22:59,570 +of the data, which is called quartile measures. + +264 +00:23:01,190 --> 00:23:03,450 +Here, actually, we'll talk about two measures. + +265 +00:23:04,270 --> 00:23:10,130 +The first one is called the first quartile, and the other + +266 +00:23:10,130 --> 00:23:14,150 +one is the third quartile. So we have two measures, + +267 +00:23:15,470 --> 00:23:26,030 +the first and the third quartile. Quartiles split the ranked + +268 +00:23:26,030 --> 00:23:32,930 +data into four equal segments. I mean, these + +269 +00:23:32,930 --> 00:23:37,190 +measures split the data you have into four equal + +270 +00:23:37,190 --> 00:23:37,730 +parts. + +271 +00:23:42,850 --> 00:23:48,690 +Q1 has 25% of the data fall below it. I mean 25% + +272 +00:23:48,690 --> 00:23:56,410 +of the values lie below Q1. So it means 75% of the + +273 +00:23:56,410 --> 00:24:04,410 +values are above it. So 25 below and 75 above. But you + +274 +00:24:04,410 --> 00:24:07,370 +have to be careful that the data is arranged from + +275 +00:24:07,370 --> 00:24:12,430 +smallest to largest. So in this case, Q1 is a + +276 +00:24:12,430 --> 00:24:19,630 +value that has 25% below it. So Q2 is called the + +277 +00:24:19,630 --> 00:24:22,450 +median. The median, the value in the middle when + +278 +00:24:22,450 --> 00:24:26,250 +we arrange the data from smallest to largest. So + +279 +00:24:26,250 --> 00:24:31,190 +that means 50% of the data below and also 50% of + +280 +00:24:31,190 --> 00:24:36,370 +the data above. The other measure is called + +281 +00:24:36,370 --> 00:24:41,730 +the theoretical qualifying. In this case, we have 25% + +282 +00:24:41,730 --> 00:24:47,950 +of the data above Q3 and 75% of the data below Q3. + +283 +00:24:49,010 --> 00:24:54,410 +So quartiles split the ranked data into four equal + +284 +00:24:54,410 --> 00:25:00,190 +segments, Q1 25% to the left, Q2 50% to the left, + +285 +00:25:00,970 --> 00:25:08,590 +Q3 75% to the left, and 25% to the right. Before, + +286 +00:25:09,190 --> 00:25:13,830 +we explained how to compute the median, and let's + +287 +00:25:13,830 --> 00:25:18,850 +see how can we compute the first and third quartile. + +288 +00:25:19,750 --> 00:25:23,650 +If you remember, when we computed the median, + +289 +00:25:24,350 --> 00:25:28,480 +first we located the position of the median. And we + +290 +00:25:28,480 --> 00:25:33,540 +said that the rank of n is odd. Yes, it was n plus + +291 +00:25:33,540 --> 00:25:37,800 +1 divided by 2. This is the location of the + +292 +00:25:37,800 --> 00:25:41,100 +median, not the value. Sometimes the value may be + +293 +00:25:41,100 --> 00:25:44,900 +equal to the location, but most of the time it's + +294 +00:25:44,900 --> 00:25:48,340 +not. It's not the case. Now let's see how can we + +295 +00:25:48,340 --> 00:25:54,130 +locate the fair support. The first quartile after + +296 +00:25:54,130 --> 00:25:56,690 +you arrange the data from smallest to largest, the + +297 +00:25:56,690 --> 00:26:01,290 +location is n plus 1 divided by 2. So that's the + +298 +00:26:01,290 --> 00:26:06,890 +location of the first quartile. The median, as we + +299 +00:26:06,890 --> 00:26:10,390 +mentioned before, is located in the middle. So it + +300 +00:26:10,390 --> 00:26:15,210 +makes sense that if n is odd, the location of the + +301 +00:26:15,210 --> 00:26:20,490 +median is n plus 1 over 2. Now, for the third + +302 +00:26:20,490 --> 00:26:27,160 +quartile position, The location is N plus 1 + +303 +00:26:27,160 --> 00:26:31,160 +divided by 4 times 3. So 3 times N plus 1 divided + +304 +00:26:31,160 --> 00:26:39,920 +by 4. That's how can we locate Q1, Q2, and Q3. So + +305 +00:26:39,920 --> 00:26:42,080 +one more time, the median, the value in the + +306 +00:26:42,080 --> 00:26:46,260 +middle, and it's located exactly at the position N + +307 +00:26:46,260 --> 00:26:52,590 +plus 1 over 2 for the ranked data. Q1 is located at + +308 +00:26:52,590 --> 00:26:56,770 +n plus one divided by four. Q3 is located at the + +309 +00:26:56,770 --> 00:26:59,670 +position three times n plus one divided by four. + +310 +00:27:03,630 --> 00:27:07,490 +Now, when calculating the rank position, we can + +311 +00:27:07,490 --> 00:27:14,690 +use one of these rules. First, if the result of + +312 +00:27:14,690 --> 00:27:18,010 +the location, I mean, is a whole number, I mean, + +313 +00:27:18,250 --> 00:27:24,050 +if it is an integer. Then the rank position is the + +314 +00:27:24,050 --> 00:27:28,590 +same number. For example, suppose the rank + +315 +00:27:28,590 --> 00:27:34,610 +position is four. So position number four is your + +316 +00:27:34,610 --> 00:27:38,450 +quartile, either first or third or second + +317 +00:27:38,450 --> 00:27:42,510 +quartile. So if the result is a whole number, then + +318 +00:27:42,510 --> 00:27:48,350 +it is the rank position used. Now, if the result + +319 +00:27:48,350 --> 00:27:52,250 +is a fractional half, I mean if the right position + +320 +00:27:52,250 --> 00:27:58,830 +is 2.5, 3.5, 4.5. In this case, average the two + +321 +00:27:58,830 --> 00:28:02,050 +corresponding data values. For example, if the + +322 +00:28:02,050 --> 00:28:10,170 +right position is 2.5. So the rank position is 2 + +323 +00:28:10,170 --> 00:28:13,210 +.5. So take the average of the corresponding + +324 +00:28:13,210 --> 00:28:18,950 +values for the rank 2 and 3. So look at the value. + +325 +00:28:19,280 --> 00:28:24,740 +at rank 2, value at rank 3, then take the average + +326 +00:28:24,740 --> 00:28:29,300 +of the corresponding values. That if the rank + +327 +00:28:29,300 --> 00:28:31,280 +position is fractional. + +328 +00:28:34,380 --> 00:28:37,900 +So if the result is a whole number, just take it as + +329 +00:28:37,900 --> 00:28:41,160 +it is. If it is a fractional half, take the + +330 +00:28:41,160 --> 00:28:44,460 +corresponding data values and take the average of + +331 +00:28:44,460 --> 00:28:49,110 +these two values. Now, if the result is not a + +332 +00:28:49,110 --> 00:28:53,930 +whole number or a fraction of it. For example, + +333 +00:28:54,070 --> 00:29:01,910 +suppose the location is 2.1. So the position is 2, + +334 +00:29:02,390 --> 00:29:06,550 +just round up to the nearest integer. So that's + +335 +00:29:06,550 --> 00:29:11,350 +2. What's about if the position rank is 2.6? Just + +336 +00:29:11,350 --> 00:29:16,060 +rank up to 3. So that's 3. So that's the rule you + +337 +00:29:16,060 --> 00:29:21,280 +have to follow if the result is a number, a whole + +338 +00:29:21,280 --> 00:29:27,200 +number, I mean integer, fraction of half, or not + +339 +00:29:27,200 --> 00:29:31,500 +a real number, I mean, not whole number, or fraction + +340 +00:29:31,500 --> 00:29:35,540 +of half. Look at this specific example. Suppose we + +341 +00:29:35,540 --> 00:29:40,180 +have this data. This is an ordered array, 11, 12, up + +342 +00:29:40,180 --> 00:29:45,680 +to 22. And let's see how can we compute these + +343 +00:29:45,680 --> 00:29:46,240 +measures. + +344 +00:29:50,080 --> 00:29:51,700 +Look carefully here. + +345 +00:29:55,400 --> 00:29:59,260 +First, let's compute the median. The median is + +346 +00:29:59,260 --> 00:30:02,360 +the value in the middle. How many values do we have? + +347 +00:30:02,800 --> 00:30:08,920 +There are nine values. So the middle is number + +348 +00:30:08,920 --> 00:30:15,390 +five. One, two, three, four, five. So 16. This + +349 +00:30:15,390 --> 00:30:23,010 +value is the median. Now look at the values below + +350 +00:30:23,010 --> 00:30:29,650 +the median. There are four below and four above the + +351 +00:30:29,650 --> 00:30:34,970 +median. Now let's see how can we compute Q1. The + +352 +00:30:34,970 --> 00:30:38,250 +position of Q1, as we mentioned, is N plus 1 + +353 +00:30:38,250 --> 00:30:42,630 +divided by 4. So N is 9 plus 1 divided by 4 is 2 + +354 +00:30:42,630 --> 00:30:50,330 +.5. 2.5 position, it means you have to take the + +355 +00:30:50,330 --> 00:30:54,490 +average of the two corresponding values, 2 and 3. + +356 +00:30:55,130 --> 00:31:01,010 +So 2 and 3, so 12 plus 13 divided by 2. That gives + +357 +00:31:01,010 --> 00:31:08,390 +12.5. So this is Q1. + +358 +00:31:08,530 --> 00:31:18,210 +So Q1 is 12.5. Now what's about Q3? The Q3, the + +359 +00:31:18,210 --> 00:31:27,810 +rank position, Q1 was 2.5. So Q3 should be three + +360 +00:31:27,810 --> 00:31:32,410 +times that value, because it's three times A plus + +361 +00:31:32,410 --> 00:31:36,090 +1 over 4. That means the rank position is 7.5. + +362 +00:31:36,590 --> 00:31:39,410 +That means you have to take the average of the 7 + +363 +00:31:39,410 --> 00:31:44,890 +and 8 position. 7 and 8 is 18, + +364 +00:31:45,880 --> 00:31:56,640 +which is 19.5. So that's Q3, 19.5. + +365 +00:32:00,360 --> 00:32:09,160 +So this is Q3. This value is Q1. And this value + +366 +00:32:09,160 --> 00:32:15,910 +is? Now, Q2 is the center. It's located in the + +367 +00:32:15,910 --> 00:32:18,570 +center because, as we mentioned, four below and + +368 +00:32:18,570 --> 00:32:22,950 +four above. Now what's about Q1? Q1 is not in the + +369 +00:32:22,950 --> 00:32:28,150 +center of the entire data. Because Q1, 12.5, so + +370 +00:32:28,150 --> 00:32:31,830 +two points below and the others maybe how many + +371 +00:32:31,830 --> 00:32:34,750 +above, two, four, six, seven observations above it. + +372 +00:32:35,390 --> 00:32:40,130 +So that means Q1 is not the center. Also, Q3 is not + +373 +00:32:40,130 --> 00:32:43,170 +the center because two observations above it and seven + +374 +00:32:43,170 --> 00:32:48,780 +below it. So that means Q1 and Q3 are measures of + +375 +00:32:48,780 --> 00:32:52,480 +non-central location, while the median is a + +376 +00:32:52,480 --> 00:32:56,080 +measure of central location. But if you just look + +377 +00:32:56,080 --> 00:33:03,720 +at the data below the median, just focus on the + +378 +00:33:03,720 --> 00:33:09,100 +data below the median, 12.5 lies exactly in the + +379 +00:33:09,100 --> 00:33:13,130 +middle of the data. So 12.5 is the center of the + +380 +00:33:13,130 --> 00:33:18,090 +data. I mean, Q1 is the center of the data below + +381 +00:33:18,090 --> 00:33:22,810 +the overall median. The overall median was 16. So + +382 +00:33:22,810 --> 00:33:27,490 +the data before 16, the median for this data is 12 + +383 +00:33:27,490 --> 00:33:31,770 +.5, which is the first part. Similarly, if you + +384 +00:33:31,770 --> 00:33:36,870 +look at the data above Q2, + +385 +00:33:37,770 --> 00:33:42,190 +now 19.5 is located in the middle of the line. So + +386 +00:33:42,190 --> 00:33:46,470 +Q3 is a measure of the center for the data above the + +387 +00:33:46,470 --> 00:33:48,390 +line. Make sense? + +388 +00:33:51,370 --> 00:33:56,430 +So that's how we can compute the first, second, and + +389 +00:33:56,430 --> 00:34:03,510 +third part. Any questions? Yes, but it's a whole + +390 +00:34:03,510 --> 00:34:09,370 +number. Whole number, it means any integer. For + +391 +00:34:09,370 --> 00:34:14,450 +example, yeah, exactly, yes. Suppose we have + +392 +00:34:14,450 --> 00:34:18,090 +a number of data that is seven. + +393 +00:34:22,070 --> 00:34:25,070 +The number of observations we have is seven. So the + +394 +00:34:25,070 --> 00:34:29,730 +rank position, n plus one divided by two, seven + +395 +00:34:29,730 --> 00:34:33,890 +plus one over two is four. Four means a whole + +396 +00:34:33,890 --> 00:34:37,780 +number, I mean an integer. Then, in this case, just use + +397 +00:34:37,780 --> 00:34:45,280 +it as it is. Now let's see the benefit or the + +398 +00:34:45,280 --> 00:34:48,680 +feature of using Q1 and Q3. + +399 +00:34:55,180 --> 00:35:01,300 +So let's move on to the inter-quartile range or + +400 +00:35:01,300 --> 00:35:01,760 +IQR. + +401 +00:35:08,020 --> 00:35:14,580 +2.5 is the position. So the rank data of the ranked + +402 +00:35:14,580 --> 00:35:19,180 +data. So take the average of the two corresponding + +403 +00:35:19,180 --> 00:35:25,700 +values of this one, which are 2 and 3. So 2 and 3. + +404 +00:35:27,400 --> + +445 +00:39:11,650 --> 00:39:17,940 +because it covers the middle 50% of the data. IQR + +446 +00:39:17,940 --> 00:39:20,120 +again is a measure of variability that is not + +447 +00:39:20,120 --> 00:39:23,900 +influenced or affected by outliers or extreme + +448 +00:39:23,900 --> 00:39:26,680 +values. So in the presence of outliers, it's + +449 +00:39:26,680 --> 00:39:34,160 +better to use IQR instead of using the range. So + +450 +00:39:34,160 --> 00:39:39,140 +again, median and the range are not affected by + +451 +00:39:39,140 --> 00:39:43,180 +outliers. So in case of the presence of outliers, + +452 +00:39:43,340 --> 00:39:46,380 +we have to use these measures, one as measure of + +453 +00:39:46,380 --> 00:39:49,780 +central and the other as measure of spread. So + +454 +00:39:49,780 --> 00:39:54,420 +measures like Q1, Q3, and IQR that are not + +455 +00:39:54,420 --> 00:39:57,400 +influenced by outliers are called resistant + +456 +00:39:57,400 --> 00:40:01,980 +measures. Resistance means in case of outliers, + +457 +00:40:02,380 --> 00:40:06,120 +they remain in the same position or approximately + +458 +00:40:06,120 --> 00:40:09,870 +in the same position. Because outliers don't + +459 +00:40:09,870 --> 00:40:13,870 +affect these measures. I mean, don't affect Q1, + +460 +00:40:14,830 --> 00:40:20,130 +Q3, and consequently IQR, because IQR is just the + +461 +00:40:20,130 --> 00:40:24,990 +distance between Q3 and Q1. So to determine the + +462 +00:40:24,990 --> 00:40:29,430 +value of IQR, you have first to compute Q1, Q3, + +463 +00:40:29,750 --> 00:40:35,780 +then take the difference between these two. So, + +464 +00:40:36,120 --> 00:40:41,120 +for example, suppose we have a data, and that data + +465 +00:40:41,120 --> 00:40:51,400 +has Q1 equals 30, and Q3 is 55. Suppose for a data + +466 +00:40:51,400 --> 00:41:00,140 +set, that data set has Q1 30, Q3 is 57. The IQR, + +467 +00:41:00,800 --> 00:41:07,240 +or Inter Equal Hyper Range, 57 minus 30 is 27. Now + +468 +00:41:07,240 --> 00:41:12,460 +what's the range? The range is maximum for the + +469 +00:41:12,460 --> 00:41:17,380 +largest value, which is 17 minus 12. That gives + +470 +00:41:17,380 --> 00:41:21,420 +58. Now look at the difference between the two + +471 +00:41:21,420 --> 00:41:26,900 +ranges. The inter-quartile range is 27. The range + +472 +00:41:26,900 --> 00:41:29,800 +is 58. There is a big difference between these two + +473 +00:41:29,800 --> 00:41:35,750 +values because range depends only on smallest and + +474 +00:41:35,750 --> 00:41:40,190 +largest. And these values could be outliers. For + +475 +00:41:40,190 --> 00:41:44,410 +this reason, the range value is higher or greater + +476 +00:41:44,410 --> 00:41:48,410 +than the required range, which is just the + +477 +00:41:48,410 --> 00:41:54,050 +distance of the 50% of the middle data. For this + +478 +00:41:54,050 --> 00:41:59,470 +reason, it's better to use the range in case of + +479 +00:41:59,470 --> 00:42:03,940 +outliers. Make sense? Any question? + +480 +00:42:08,680 --> 00:42:19,320 +Five-number summary are smallest + +481 +00:42:19,320 --> 00:42:27,380 +value, largest value, also first quartile, third + +482 +00:42:27,380 --> 00:42:32,250 +quartile, and the median. These five numbers are + +483 +00:42:32,250 --> 00:42:35,870 +called five-number summary, because by using these + +484 +00:42:35,870 --> 00:42:41,590 +statistics, smallest, first, median, third + +485 +00:42:41,590 --> 00:42:46,010 +quarter, and largest, you can describe the center + +486 +00:42:46,010 --> 00:42:52,590 +spread and the shape of the distribution. So by + +487 +00:42:52,590 --> 00:42:56,450 +using five-number summary, you can tell something + +488 +00:42:56,450 --> 00:43:00,090 +about it. The center of the data, I mean the value + +489 +00:43:00,090 --> 00:43:02,070 +in the middle, because the median is the value in + +490 +00:43:02,070 --> 00:43:06,550 +the middle. Spread, because we can talk about the + +491 +00:43:06,550 --> 00:43:11,070 +IQR, which is the range, and also the shape of the + +492 +00:43:11,070 --> 00:43:15,450 +data. And let's see, let's move to this slide, + +493 +00:43:16,670 --> 00:43:18,530 +slide number 50. + +494 +00:43:21,530 --> 00:43:25,090 +Let's see how can we construct something called + +495 +00:43:25,090 --> 00:43:31,850 +box plot. Box plot. Box plot can be constructed by + +496 +00:43:31,850 --> 00:43:34,990 +using the five number summary. We have smallest + +497 +00:43:34,990 --> 00:43:37,550 +value. On the other hand, we have the largest + +498 +00:43:37,550 --> 00:43:43,430 +value. Also, we have Q1, the first quartile, the + +499 +00:43:43,430 --> 00:43:47,510 +median, and Q3. For symmetric distribution, I mean + +500 +00:43:47,510 --> 00:43:52,490 +if the data is bell-shaped. In this case, the + +501 +00:43:52,490 --> 00:43:56,570 +vertical line in the box which represents the + +502 +00:43:56,570 --> 00:43:59,730 +median should be located in the middle of this + +503 +00:43:59,730 --> 00:44:05,510 +box, also in the middle of the entire data. Look + +504 +00:44:05,510 --> 00:44:11,350 +carefully at this vertical line. This line splits + +505 +00:44:11,350 --> 00:44:16,070 +the data into two halves, 25% to the left and 25% + +506 +00:44:16,070 --> 00:44:19,960 +to the right. And also this vertical line splits + +507 +00:44:19,960 --> 00:44:24,720 +the data into two halves, from the smallest to + +508 +00:44:24,720 --> 00:44:29,760 +largest, because there are 50% of the observations + +509 +00:44:29,760 --> 00:44:34,560 +lie below, and 50% lies above. So that means by + +510 +00:44:34,560 --> 00:44:37,840 +using box plot, you can tell something about the + +511 +00:44:37,840 --> 00:44:42,520 +shape of the distribution. So again, if the data + +512 +00:44:42,520 --> 00:44:48,270 +are symmetric around the median, And the central + +513 +00:44:48,270 --> 00:44:53,910 +line, this box, and central line are centered + +514 +00:44:53,910 --> 00:44:57,550 +between the endpoints. I mean, this vertical line + +515 +00:44:57,550 --> 00:45:00,720 +is centered between these two endpoints. between + +516 +00:45:00,720 --> 00:45:04,180 +Q1 and Q3. And the whole box plot is centered + +517 +00:45:04,180 --> 00:45:07,100 +between the smallest and the largest value. And + +518 +00:45:07,100 --> 00:45:10,840 +also the distance between the median and the + +519 +00:45:10,840 --> 00:45:14,320 +smallest is roughly equal to the distance between + +520 +00:45:14,320 --> 00:45:19,760 +the median and the largest. So you can tell + +521 +00:45:19,760 --> 00:45:22,660 +something about the shape of the distribution by + +522 +00:45:22,660 --> 00:45:26,780 +using the box plot. + +523 +00:45:32,870 --> 00:45:36,110 +The graph in the middle. Here median and median + +524 +00:45:36,110 --> 00:45:40,110 +are the same. The box plot, we have here the + +525 +00:45:40,110 --> 00:45:43,830 +median in the middle of the box, also in the + +526 +00:45:43,830 --> 00:45:47,390 +middle of the entire data. So you can say that the + +527 +00:45:47,390 --> 00:45:50,210 +distribution of this data is symmetric or is bell + +528 +00:45:50,210 --> 00:45:55,750 +-shaped. It's normal distribution. On the other + +529 +00:45:55,750 --> 00:46:00,110 +hand, if you look here, you will see that the + +530 +00:46:00,110 --> 00:46:06,160 +median is not in the center of the box. It's near + +531 +00:46:06,160 --> 00:46:12,580 +Q3. So the left tail, I mean, the distance between + +532 +00:46:12,580 --> 00:46:16,620 +the median and the smallest, this tail is longer + +533 +00:46:16,620 --> 00:46:20,600 +than the right tail. In this case, it's called + +534 +00:46:20,600 --> 00:46:24,850 +left skewed or skewed to the left. or negative + +535 +00:46:24,850 --> 00:46:29,510 +skewness. So if the data is not symmetric, it + +536 +00:46:29,510 --> 00:46:35,630 +might be left skewed. I mean, the left tail is + +537 +00:46:35,630 --> 00:46:40,590 +longer than the right tail. On the other hand, if + +538 +00:46:40,590 --> 00:46:45,950 +the median is located near Q1, it means the right + +539 +00:46:45,950 --> 00:46:49,930 +tail is longer than the left tail, and it's called + +540 +00:46:49,930 --> 00:46:56,470 +positive skewed or right skewed. So for symmetric + +541 +00:46:56,470 --> 00:47:00,310 +distribution, the median in the middle, for left + +542 +00:47:00,310 --> 00:47:04,570 +or right skewed, the median either is close to the + +543 +00:47:04,570 --> 00:47:09,930 +Q3 or skewed distribution to the left, or the + +544 +00:47:09,930 --> 00:47:14,910 +median is close to Q1 and the distribution is + +545 +00:47:14,910 --> 00:47:20,570 +right skewed or has positive skewness. That's how + +546 +00:47:20,570 --> 00:47:25,860 +can we tell spread center and the shape by using + +547 +00:47:25,860 --> 00:47:28,460 +the box plot. So center is the value in the + +548 +00:47:28,460 --> 00:47:32,860 +middle, Q2 or the median. Spread is the distance + +549 +00:47:32,860 --> 00:47:38,340 +between Q1 and Q3. So Q3 minus Q1 gives IQR. And + +550 +00:47:38,340 --> 00:47:41,880 +finally, you can tell something about the shape of + +551 +00:47:41,880 --> 00:47:45,140 +the distribution by just looking at the scatter + +552 +00:47:45,140 --> 00:47:46,440 +plot. + +553 +00:47:49,700 --> 00:47:56,330 +Let's look at This example, and suppose we have + +554 +00:47:56,330 --> 00:48:02,430 +small data set. And let's see how can we construct + +555 +00:48:02,430 --> 00:48:05,750 +the MaxPlot. In order to construct MaxPlot, you + +556 +00:48:05,750 --> 00:48:09,510 +have to compute minimum first or smallest value, + +557 +00:48:09,810 --> 00:48:14,650 +largest value. Besides that, you have to compute + +558 +00:48:14,650 --> 00:48:21,110 +first and third part time and also Q2. For this + +559 +00:48:21,110 --> 00:48:27,570 +simple example, Q1 is 2, Q3 is 5, and the median + +560 +00:48:27,570 --> 00:48:33,990 +is 3. Smallest is 0, largest is 17. Now, be + +561 +00:48:33,990 --> 00:48:38,130 +careful here, 17 seems to be an outlier. But so + +562 +00:48:38,130 --> 00:48:44,190 +far, we don't explain how can we decide if a data + +563 +00:48:44,190 --> 00:48:47,550 +value is considered to be an outlier. But at least + +564 +00:48:47,550 --> 00:48:53,080 +17. is a suspected value to be an outlier, seems + +565 +00:48:53,080 --> 00:48:57,200 +to be. Sometimes you are 95% sure that that point + +566 +00:48:57,200 --> 00:49:00,160 +is an outlier, but you cannot tell, because you + +567 +00:49:00,160 --> 00:49:04,060 +have to have a specific rule that can decide if + +568 +00:49:04,060 --> 00:49:07,400 +that point is an outlier or not. But at least it + +569 +00:49:07,400 --> 00:49:12,060 +makes sense that that point is considered maybe an + +570 +00:49:12,060 --> 00:49:14,700 +outlier. But let's see how can we construct that + +571 +00:49:14,700 --> 00:49:18,190 +first. The box plot. Again, as we mentioned, the + +572 +00:49:18,190 --> 00:49:21,630 +minimum value is zero. The maximum is 27. The Q1 + +573 +00:49:21,630 --> 00:49:27,830 +is 2. The median is 3. The Q3 is 5. Now, if you + +574 +00:49:27,830 --> 00:49:32,010 +look at the distance between, does this vertical + +575 +00:49:32,010 --> 00:49:35,790 +line lie between the line in the middle or the + +576 +00:49:35,790 --> 00:49:40,090 +center of the box? It's not exactly. But if you + +577 +00:49:40,090 --> 00:49:45,260 +look at this line, vertical line, and the location + +578 +00:49:45,260 --> 00:49:50,600 +of this with respect to the minimum and the + +579 +00:49:50,600 --> 00:49:56,640 +maximum. You will see that the right tail is much + +580 +00:49:56,640 --> 00:50:01,560 +longer than the left tail because it starts from 3 + +581 +00:50:01,560 --> 00:50:06,180 +up to 27. And the other one, from zero to three, + +582 +00:50:06,380 --> 00:50:09,760 +is a big distance between three and 27, compared + +583 +00:50:09,760 --> 00:50:13,140 +to the other one, zero to three. So it seems to be + +584 +00:50:13,140 --> 00:50:16,600 +this is quite skewed, so it's not at all + +585 +00:50:16,600 --> 00:50:23,700 +symmetric, because of this value. So maybe by + +586 +00:50:23,700 --> 00:50:25,580 +using MaxPlot, you can tell that point is + +587 +00:50:25,580 --> 00:50:31,440 +suspected to be an outlier. It has a very long + +588 +00:50:31,440 --> 00:50:32,800 +right tail. + +589 +00:50:35,560 --> 00:50:41,120 +So let's see how can we determine if a point is an + +590 +00:50:41,120 --> 00:50:50,400 +outlier or not. Sometimes we can use box plot to + +591 +00:50:50,400 --> 00:50:53,840 +determine if the point is an outlier or not. The + +592 +00:50:53,840 --> 00:51:00,860 +rule is that a value is considered an outlier It + +593 +00:51:00,860 --> 00:51:04,780 +is more than 1.5 times the entire quartile range + +594 +00:51:04,780 --> 00:51:11,420 +below Q1 or above it. Let's explain the meaning of + +595 +00:51:11,420 --> 00:51:12,260 +this sentence. + +596 +00:51:15,260 --> 00:51:20,100 +First, let's compute something called lower. + +597 +00:51:23,740 --> 00:51:28,540 +The lower limit is + +598 +00:51:28,540 --> 00:51:38,680 +not the minimum. It's Q1 minus 1.5 IQR. This is + +599 +00:51:38,680 --> 00:51:39,280 +the lower limit. + +600 +00:51:42,280 --> 00:51:47,560 +So it's 1.5 times IQR below Q1. This is the lower + +601 +00:51:47,560 --> 00:51:50,620 +limit. The upper limit, + +602 +00:51:54,680 --> 00:51:57,460 +Q3, + +603 +00:51:58,790 --> 00:52:06,890 +plus 1.5 times IQR. So we computed lower and upper + +604 +00:52:06,890 --> 00:52:13,350 +limit by using these rules. Q1 minus 1.5 IQR. So + +605 +00:52:13,350 --> 00:52:20,510 +it's 1.5 times IQR below Q1 and 1.5 times IQR + +606 +00:52:20,510 --> 00:52:25,070 +above Q1. Now, any value. + +607 +00:52:31,150 --> 00:52:38,610 +Is it smaller than the + +608 +00:52:38,610 --> 00:52:45,990 +lower limit or + +609 +00:52:45,990 --> 00:52:53,290 +greater than the + +610 +00:52:53,290 --> 00:52:54,150 +upper limit? + +611 +00:52:58,330 --> 00:53:04,600 +Any value. smaller than the lower limit and + +612 +00:53:04,600 --> 00:53:13,260 +greater than the upper limit is considered to + +613 +00:53:13,260 --> 00:53:20,720 +be an outlier. This is the rule how can you tell + +614 +00:53:20,720 --> 00:53:24,780 +if the point or data value is outlier or not. Just + +615 +00:53:24,780 --> 00:53:27,100 +compute lower limit and upper limit. + +616 +00:53:29,780 --> 00:53:35,580 +So lower limit, Q1 minus 1.5IQ3. Upper limit, Q3 + +617 +00:53:35,580 --> 00:53:38,620 +plus 1.5. This is a constant. + +618 +00:53:43,200 --> 00:53:47,040 +Now let's go back to the previous example, which + +619 +00:53:47,040 --> 00:53:53,800 +was, which Q1 was, what's the value of Q1? Q1 was + +620 +00:53:53,800 --> 00:53:57,680 +2. Q3 is 5. + +621 +00:54:00,650 --> 00:54:05,230 +In order to turn an outlier, you don't need the + +622 +00:54:05,230 --> 00:54:11,150 +value, the median. Now, Q3 is 5, Q1 is 2, so IQR + +623 +00:54:11,150 --> 00:54:21,050 +is 3. That's the value of IQR. Now, lower limit, A + +624 +00:54:21,050 --> 00:54:31,830 +times 2 minus 1.5 times IQR3. So that's minus 2.5. + +625 +00:54:33,550 --> 00:54:41,170 +U3 plus U3 is 3. It's 5, sorry. It's 5 plus 1.5. + +626 +00:54:41,650 --> 00:54:48,570 +That gives 9.5. Now, any point or any data value, + +627 +00:54:49,450 --> 00:54:55,950 +any data value falls below minus 2.5. I mean + +628 +00:54:55,950 --> 00:55:00,380 +smaller than minus 2. \ No newline at end of file diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/BRRl21n6QWg.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/BRRl21n6QWg.srt new file mode 100644 index 0000000000000000000000000000000000000000..b660dc523615ca7afdc95365a5e92f85c32bd31e --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/BRRl21n6QWg.srt @@ -0,0 +1,1684 @@ + +1 +00:00:07,390 --> 00:00:09,890 +So last time, we discussed how to find the + +2 +00:00:09,890 --> 00:00:14,570 +probabilities underneath the normal curve for + +3 +00:00:14,570 --> 00:00:20,450 +three cases. If the point lies in the lower tail, + +4 +00:00:21,690 --> 00:00:28,150 +as this one, or upper tail, or between. So we can + +5 +00:00:28,150 --> 00:00:32,290 +do the computations for this kind of + +6 +00:00:32,290 --> 00:00:36,090 +probabilities. And I think we gave two examples. + +7 +00:00:36,620 --> 00:00:40,400 +For example, if we are looking for probability of + +8 +00:00:40,400 --> 00:00:45,020 +Z is smaller than 0.1, and Z, as we mentioned last + +9 +00:00:45,020 --> 00:00:48,660 +time, is the standardized normal distribution that + +10 +00:00:48,660 --> 00:00:53,120 +has mean of 0 and sigma is 1. In this case, just + +11 +00:00:53,120 --> 00:00:57,540 +go to the table you have. Now we are looking for 0 + +12 +00:00:57,540 --> 00:01:03,700 +.12, for example. So here we have 0.1. Under 2, we + +13 +00:01:03,700 --> 00:01:07,260 +get this result. This value is the probability of + +14 +00:01:07,260 --> 00:01:10,480 +Z smaller than 0.5. But you have to keep in mind + +15 +00:01:10,480 --> 00:01:14,460 +that we have to transform first from normal + +16 +00:01:14,460 --> 00:01:17,580 +distribution to standardized normal distribution. + +17 +00:01:18,620 --> 00:01:21,220 +For this specific example, if we are looking for + +18 +00:01:21,220 --> 00:01:26,960 +mean of 8 and standard deviation of 5, that's for + +19 +00:01:26,960 --> 00:01:30,020 +the normal distribution. In this case, the z-score + +20 +00:01:30,020 --> 00:01:32,920 +is given by this equation, which is x minus 3 + +21 +00:01:32,920 --> 00:01:37,060 +divided by sigma. So 8.6 minus 8 divided by 5 + +22 +00:01:37,060 --> 00:01:41,360 +gives 0.12. In this case, we can use the + +23 +00:01:41,360 --> 00:01:46,480 +standardized normal table. Now, for the other + +24 +00:01:46,480 --> 00:01:48,700 +case, we are looking for the probability of x + +25 +00:01:48,700 --> 00:01:51,880 +greater than 8.6. So we are looking for the upper + +26 +00:01:51,880 --> 00:01:56,900 +tail probability. The table we have gives the area + +27 +00:01:56,900 --> 00:02:01,640 +to the left side. And we know that the total area + +28 +00:02:01,640 --> 00:02:04,760 +underneath the normal curve is 1. So the + +29 +00:02:04,760 --> 00:02:08,980 +probability of x greater than 8.6 is the same as 1 + +30 +00:02:08,980 --> 00:02:13,720 +minus the probability of x smaller than x less + +31 +00:02:13,720 --> 00:02:19,100 +than 8.6. So here, for 8.6, we got z squared to be + +32 +00:02:19,100 --> 00:02:24,300 +0.12. So the probability of z greater than 0.12 is + +33 +00:02:24,300 --> 00:02:27,620 +the same as 1 minus z of z is smaller than 0.12. + +34 +00:02:28,850 --> 00:02:33,050 +So 1 minus the answer we just got from part A will + +35 +00:02:33,050 --> 00:02:35,930 +get us to something. So this is the probability of + +36 +00:02:35,930 --> 00:02:41,170 +X is greater than 8.6. So all of the time, if you + +37 +00:02:41,170 --> 00:02:45,390 +are asking about computing the probability in the + +38 +00:02:45,390 --> 00:02:48,290 +upper tail, you have to first find the probability + +39 +00:02:48,290 --> 00:02:52,630 +in the lower tail, then subtract that value from + +40 +00:02:52,630 --> 00:02:56,710 +1. So that's the probability for the upper tail. + +41 +00:02:58,110 --> 00:03:02,470 +The last one, we are looking for probability + +42 +00:03:02,470 --> 00:03:06,970 +between two values. For example, x. What's the + +43 +00:03:06,970 --> 00:03:10,190 +probability of x greater than 8 and smaller than 8 + +44 +00:03:10,190 --> 00:03:15,670 +.6? So we are looking for this area, the red area. + +45 +00:03:16,250 --> 00:03:18,710 +So the probability of x between these two values + +46 +00:03:18,710 --> 00:03:21,850 +actually equals the probability of x smaller than. + +47 +00:03:23,040 --> 00:03:27,560 +8.6 minus the probability of X smaller than 8. + +48 +00:03:27,880 --> 00:03:31,140 +And that, in this case, you have to compute two + +49 +00:03:31,140 --> 00:03:34,780 +values of this score. One for the first value, + +50 +00:03:34,880 --> 00:03:40,020 +which is A. This value is zero because the mean is + +51 +00:03:40,020 --> 00:03:45,240 +zero. And we know that Z can be negative. If X is + +52 +00:03:45,240 --> 00:03:49,460 +smaller than Mu, Z can be positive if X is greater + +53 +00:03:49,460 --> 00:03:55,220 +than Mu and equals zero only if X equals Mu. In + +54 +00:03:55,220 --> 00:03:59,340 +this case, X equals Mu, so Z score is zero. The + +55 +00:03:59,340 --> 00:04:03,220 +other one as we got before is 0.12. So now, we + +56 +00:04:03,220 --> 00:04:07,340 +transform actually the probability of X between + +57 +00:04:08,870 --> 00:04:13,870 +8 and 8.6 to z-score between 0 and 0.12. In this + +58 +00:04:13,870 --> 00:04:17,170 +case, we can use the normal theorem. Now, this + +59 +00:04:17,170 --> 00:04:21,130 +area is, as we mentioned, just b of x smaller than + +60 +00:04:21,130 --> 00:04:28,850 +0.12 minus b of x, b of z smaller than 0. This + +61 +00:04:28,850 --> 00:04:34,330 +probability, we know that, 0.54878. Now, the + +62 +00:04:34,330 --> 00:04:38,170 +probability of z smaller than 0 is one-half. + +63 +00:04:38,860 --> 00:04:41,380 +Because the total area underneath the normal curve + +64 +00:04:41,380 --> 00:04:45,860 +is 1, and 0 divided the curve into two equally + +65 +00:04:45,860 --> 00:04:49,100 +parts. So the area to the right of 0 is the same + +66 +00:04:49,100 --> 00:04:52,100 +as the area to the left of 0. So in this case, + +67 +00:04:52,880 --> 00:04:57,160 +minus 0.5. So this is your answer. So the + +68 +00:04:57,160 --> 00:05:04,040 +probability of Z between 8 and 8.6 is around 0.0478. + +69 +00:05:04,320 --> 00:05:07,020 +I think we stopped last time at this point. + +70 +00:05:09,860 --> 00:05:17,760 +This is another example to compute the probability + +71 +00:05:17,760 --> 00:05:24,020 +of X greater than 7.4 and 8. Also, it's the same + +72 +00:05:24,020 --> 00:05:29,700 +idea here, just find these scores for the two + +73 +00:05:29,700 --> 00:05:30,160 +values. + +74 +00:05:33,850 --> 00:05:38,670 +L with B of Z greater than minus 0.12 up to 0. Now + +75 +00:05:38,670 --> 00:05:47,010 +this red area equals the area below 0. I mean B of + +76 +00:05:47,010 --> 00:05:50,330 +Z smaller than 0 minus the probability of Z + +77 +00:05:50,330 --> 00:05:57,090 +smaller than minus 0.12. Now by using symmetric + +78 +00:05:57,090 --> 00:06:00,470 +probability of the normal distribution, we know + +79 +00:06:00,470 --> 00:06:04,620 +that the probability of Z smaller than minus 0.12 + +80 +00:06:04,620 --> 00:06:11,420 +equals the probability of Z greater than 0.12. + +81 +00:06:11,780 --> 00:06:15,520 +Because this area, if we have Z smaller than minus + +82 +00:06:15,520 --> 00:06:19,300 +0.12, the area to the left, that equals the area + +83 +00:06:19,300 --> 00:06:21,560 +to the right of the same point, because of + +84 +00:06:21,560 --> 00:06:25,480 +symmetry. And finally, you will end with this + +85 +00:06:25,480 --> 00:06:25,740 +result. + +86 +00:06:30,670 --> 00:06:36,730 +D of z minus 0.12, all the way up to 0, this area, + +87 +00:06:37,630 --> 00:06:43,130 +is the same as the area from 0 up to 0.5. So this + +88 +00:06:43,130 --> 00:06:46,530 +area actually is the same as D of z between 0 and + +89 +00:06:46,530 --> 00:06:51,270 +0.5. So if you have a negative sign, and then take + +90 +00:06:51,270 --> 00:06:54,390 +the opposite one, the answer will be the same + +91 +00:06:54,390 --> 00:06:57,610 +because the normal distribution is symmetric + +92 +00:06:57,610 --> 00:07:04,690 +around 0. The questions, I think we stopped + +93 +00:07:04,690 --> 00:07:09,330 +here. And also we talked about empirical rules. + +94 +00:07:10,930 --> 00:07:13,250 +The one we mentioned in chapter three, in chapter + +95 +00:07:13,250 --> 00:07:16,170 +three. And we know that, as we mentioned before, + +96 +00:07:16,310 --> 00:07:25,550 +that is 68.16% of the observations fall within one + +97 +00:07:25,550 --> 00:07:30,660 +standard deviation around the mean. So this area + +98 +00:07:30,660 --> 00:07:35,380 +from mu minus one sigma up to mu plus sigma, this + +99 +00:07:35,380 --> 00:07:42,080 +area covers around 68%. Also + +100 +00:07:42,080 --> 00:07:50,700 +95% or actually 95.44% of the data falls within + +101 +00:07:50,700 --> 00:07:54,840 +two standard deviations of the mean. And finally, + +102 +00:07:55,040 --> 00:08:00,220 +around most of the data, around 99.73% of the data + +103 +00:08:00,220 --> 00:08:06,860 +falls within three subdivisions of the population + +104 +00:08:06,860 --> 00:08:07,160 +mean. + +105 +00:08:11,550 --> 00:08:14,970 +And now the new topic is how can we find the X + +106 +00:08:14,970 --> 00:08:18,510 +value if the probability is given. It's vice + +107 +00:08:18,510 --> 00:08:21,810 +versa. In the previous questions, we were asking + +108 +00:08:21,810 --> 00:08:26,130 +about find the probability, for example, if X is + +109 +00:08:26,130 --> 00:08:30,450 +smaller than a certain number. Now suppose this + +110 +00:08:30,450 --> 00:08:34,070 +probability is given, and we are looking to find + +111 +00:08:34,070 --> 00:08:38,710 +this value. I mean, for example, suppose in the + +112 +00:08:38,710 --> 00:08:39,850 +previous examples here, + +113 +00:08:43,380 --> 00:08:46,760 +Suppose we know this probability. So the + +114 +00:08:46,760 --> 00:08:50,220 +probability is given. The question is, how can we + +115 +00:08:50,220 --> 00:08:54,140 +find this value? It's the opposite, sometimes + +116 +00:08:54,140 --> 00:08:57,180 +called backward normal calculations. + +117 +00:09:01,660 --> 00:09:05,580 +There are actually two steps to find the x value + +118 +00:09:05,580 --> 00:09:10,040 +for a certain probability or for a given or for a + +119 +00:09:10,040 --> 00:09:12,900 +known probability the first step we have to find + +120 +00:09:12,900 --> 00:09:20,540 +the z score then use this equation to find the x + +121 +00:09:20,540 --> 00:09:25,100 +value corresponding to the z score you have and x + +122 +00:09:25,100 --> 00:09:30,120 +is just mu plus sigma times mu so first step you + +123 +00:09:30,120 --> 00:09:31,740 +have to find the z score + +124 +00:09:35,350 --> 00:09:38,690 +corresponding to the probability we have. So find + +125 +00:09:38,690 --> 00:09:43,870 +the z value for the non-probability, then use that + +126 +00:09:43,870 --> 00:09:47,910 +z score to find the value of x by using this + +127 +00:09:47,910 --> 00:09:52,010 +equation. So x equals mu plus z sigma. z could be + +128 +00:09:52,010 --> 00:09:54,490 +negative, could be positive, depends on the + +129 +00:09:54,490 --> 00:09:59,170 +probability you have. If the probability is above + +130 +00:09:59,170 --> 00:10:03,390 +0.5, I mean 0.5 and greater than 0.5, this + +131 +00:10:03,390 --> 00:10:08,880 +corresponds to z positive. But if z-score is negative, I'm + +132 +00:10:08,880 --> 00:10:10,680 +sorry, if z-score is negative, then the + +133 +00:10:10,680 --> 00:10:14,880 +probability should be smaller than 0.5. So if the + +134 +00:10:14,880 --> 00:10:19,360 +probability is given less than 0.5, then your z + +135 +00:10:19,360 --> 00:10:21,100 +-score should be negative, otherwise should be + +136 +00:10:21,100 --> 00:10:23,720 +positive. So you have to be careful in this case. + +137 +00:10:25,700 --> 00:10:31,240 +Now look at this example. Let x represent the time + +138 +00:10:31,240 --> 00:10:35,770 +it takes in seconds to download an image file + +139 +00:10:35,770 --> 00:10:39,730 +from the internet. The same example as we did + +140 +00:10:39,730 --> 00:10:43,590 +before. And here we assume that x is normal + +141 +00:10:43,590 --> 00:10:46,330 +distribution with mean of 8 and standard deviation + +142 +00:10:46,330 --> 00:10:51,710 +of 5. Now, let's see how can we find the value of + +143 +00:10:51,710 --> 00:10:58,050 +x such that 20% of download times are smaller than + +144 +00:10:58,050 --> 00:10:58,410 +x. + +145 +00:11:01,060 --> 00:11:04,580 +So, this probability is a fraction. Also, always + +146 +00:11:04,580 --> 00:11:07,840 +the probability is between 0 and 1. So, the + +147 +00:11:07,840 --> 00:11:11,820 +probability here is 20%. In this case, your z + +148 +00:11:11,820 --> 00:11:15,560 +-score should be negative. Because 20% is more + +149 +00:11:15,560 --> 00:11:18,660 +than 0.5. So, z-score should be in this side, in + +150 +00:11:18,660 --> 00:11:19,320 +the left side. + +151 +00:11:22,340 --> 00:11:26,380 +So, again, he asks about finding x-value such that + +152 +00:11:26,380 --> 00:11:27,140 +20%. + +153 +00:11:31,740 --> 00:11:35,400 +So here again we are looking for this value, for + +154 +00:11:35,400 --> 00:11:40,760 +the value of x, which is smaller than the area to + +155 +00:11:40,760 --> 00:11:45,680 +the left of this x, equals 0.2. + +156 +00:11:47,480 --> 00:11:51,100 +Now, the first step, we have to find the z-score. + +157 +00:11:52,650 --> 00:11:56,430 +It's backward, z-score first, then x. Find a z + +158 +00:11:56,430 --> 00:12:00,450 +-score corresponding to the probability of 0.2. + +159 +00:12:02,510 --> 00:12:07,710 +The approximate one, the near value, I mean, to + +160 +00:12:07,710 --> 00:12:12,190 +the 0.2 is 0.2005. Sometimes you have the exact + +161 +00:12:12,190 --> 00:12:16,570 +value from the table you have, but most of the + +162 +00:12:16,570 --> 00:12:19,050 +time you don't have it. So you have to look at the + +163 +00:12:19,050 --> 00:12:21,790 +approximate value, which is very close to the one + +164 +00:12:21,790 --> 00:12:25,840 +you have. So here, we are looking for 0.2. The + +165 +00:12:25,840 --> 00:12:30,660 +closest value to 0.2 is 0.2005. Now, the + +166 +00:12:30,660 --> 00:12:34,720 +corresponding value to this probability is minus 0 + +167 +00:12:34,720 --> 00:12:40,120 +.8 all the way up to 4. So your z-score is + +168 +00:12:40,120 --> 00:12:47,840 +negative 0.84. So this is the first step. Any + +169 +00:12:47,840 --> 00:12:51,120 +question? Again. + +170 +00:12:53,950 --> 00:12:57,050 +Now if we just go back to this equation, + +171 +00:12:59,930 --> 00:13:03,670 +z equals x minus mu over sigma. A cross + +172 +00:13:03,670 --> 00:13:07,810 +multiplication, I mean if you multiply both sides + +173 +00:13:07,810 --> 00:13:16,110 +by sigma, you will get sigma times z equals x + +174 +00:13:16,110 --> 00:13:17,510 +minus mu. + +175 +00:13:32,120 --> 00:13:35,500 +Now, in this question, + +176 +00:13:37,960 --> 00:13:43,160 +he asks about, find the value of x such that 20% + +177 +00:13:43,160 --> 00:13:46,560 +of download times are less than x. + +178 +00:13:50,740 --> 00:13:54,080 +Now the probability is less than 0.5, so your z + +179 +00:13:54,080 --> 00:13:57,780 +-score should be on the left side. So here we need + +180 +00:13:57,780 --> 00:14:03,660 +to find the value of z first. Go back to the + +181 +00:14:03,660 --> 00:14:04,640 +normal table you have. + +182 +00:14:07,680 --> 00:14:08,860 +This is the normal table. + +183 +00:14:16,800 --> 00:14:21,250 +We are looking for minus 0.2. I'm sorry, we are + +184 +00:14:21,250 --> 00:14:28,910 +looking for 0.2. So the closest value to 0.2 is + +185 +00:14:28,910 --> 00:14:34,750 +this one, 0.2005. So this is the closest value. + +186 +00:14:49,630 --> 00:14:54,470 +So the exact answer is sometimes not given. So the + +187 +00:14:54,470 --> 00:14:59,190 +approximate one, minus 0.8, all the way up to 4. + +188 +00:15:00,030 --> 00:15:06,410 +So z-score minus 0.8. Any question? + +189 +00:15:10,330 --> 00:15:15,330 +So the value of z-score is minus 0.84. So my + +190 +00:15: + +223 +00:19:18,560 --> 00:19:22,660 +So z-score is 1. So we are looking for the + +224 +00:19:22,660 --> 00:19:24,700 +probability of z greater than 1. + +225 +00:19:28,340 --> 00:19:35,220 +1.5. 1.2. 1.5. 1.5. 1.5. So I'm looking for the + +226 +00:19:35,220 --> 00:19:37,760 +probability of x of z greater than + +227 +00:19:40,980 --> 00:19:48,700 +1 minus P + +228 +00:19:48,700 --> 00:19:52,700 +of Z less than or equal to 1.5. Now go back to the + +229 +00:19:52,700 --> 00:19:53,040 +table. + +230 +00:20:01,540 --> 00:20:07,260 +Now 1.5 under 0. It's 0.9332. + +231 +00:20:11,410 --> 00:20:19,750 +So, 1 minus this probability gives 0.0668. + +232 +00:20:21,210 --> 00:20:24,350 +That's the probability of X greater than 4.4. + +233 +00:20:28,130 --> 00:20:31,590 +So, the answer is 0.0668. + +234 +00:20:34,870 --> 00:20:37,550 +Now, for the same question. + +235 +00:20:41,320 --> 00:20:44,380 +What's the probability that a randomly selected + +236 +00:20:44,380 --> 00:20:47,080 +fish will weigh between 3 and 5 pounds? + +237 +00:20:49,660 --> 00:20:50,400 +3? + +238 +00:20:52,940 --> 00:21:01,040 +Up to 5. So first we have to find the z-score for 3 + +239 +00:21:01,040 --> 00:21:11,260 +out of 5. For it to be just 3 minus 3.2. Divide by + +240 +00:21:11,260 --> 00:21:17,380 +0.8 is the first z value. Negative 0.2 divided by + +241 +00:21:17,380 --> 00:21:30,360 +0.8 minus 0.25. The other one, 5 minus 3.2 divided + +242 +00:21:30,360 --> 00:21:36,680 +by 0.8. 1 minus 0.8 divided by 0.8 equals + +243 +00:21:42,680 --> 00:21:44,120 +2.25. + +244 +00:21:50,840 --> 00:21:57,020 +Just double check this result. So here, the + +245 +00:21:57,020 --> 00:22:04,520 +probability of X between 3 and 5 equals minus 0 + +246 +00:22:04,520 --> 00:22:08,200 +.25, smaller than Z, smaller than 2.5. + +247 +00:22:12,650 --> 00:22:17,210 +So it's transformed from normal distribution to + +248 +00:22:17,210 --> 00:22:20,750 +standardized normal distribution. So here instead + +249 +00:22:20,750 --> 00:22:23,530 +of computing the probability of X between three + +250 +00:22:23,530 --> 00:22:26,070 +and five, we are looking for the probability + +251 +00:22:26,070 --> 00:22:31,350 +between Z between actually minus. It's minus + +252 +00:22:31,350 --> 00:22:34,590 +because your value here is smaller than the + +253 +00:22:34,590 --> 00:22:37,790 +average. The average was 3.2, so it should be + +254 +00:22:37,790 --> 00:22:42,630 +negative. So z score between minus 0.25 all the + +255 +00:22:42,630 --> 00:22:48,150 +way up to 2.25. So now, this is the probability we + +256 +00:22:48,150 --> 00:22:56,590 +are looking for. Zero in the middle minus one + +257 +00:22:56,590 --> 00:23:03,610 +-fourth to the left of z of zero, mu of zero. And + +258 +00:23:03,610 --> 00:23:08,560 +this is the value of 2.25. Now we are looking + +259 +00:23:08,560 --> 00:23:09,940 +actually for this probability. + +260 +00:23:12,960 --> 00:23:18,360 +The area between minus 0.25 all the way up to 2.5. + +261 +00:23:19,980 --> 00:23:25,200 +So this area equals the + +262 +00:23:25,200 --> 00:23:29,000 +probability of Z less than 2.25 minus. + +263 +00:23:34,280 --> 00:23:38,780 +And again, use the normal. table to give this + +264 +00:23:38,780 --> 00:23:39,860 +value and another one. + +265 +00:23:42,980 --> 00:23:52,400 +Any questions? So first step here, we compute the + +266 +00:23:52,400 --> 00:23:56,880 +z-score for each value x. So the problem is + +267 +00:23:56,880 --> 00:24:01,380 +transformed from normal distribution to + +268 +00:24:01,380 --> 00:24:05,060 +standardized normal distribution. So it becomes z + +269 +00:24:05,060 --> 00:24:11,500 +between minus 1.25 up to 2.25. Now, this area, + +270 +00:24:11,960 --> 00:24:19,900 +this dashed area equals the area below 2.25 minus + +271 +00:24:19,900 --> 00:24:25,000 +the area below minus 1.25. Now, by using the + +272 +00:24:25,000 --> 00:24:27,760 +similar way we did before, you will compute the + +273 +00:24:27,760 --> 00:24:30,960 +value of z. The probability of z is smaller than 2 + +274 +00:24:30,960 --> 00:24:39,580 +.25 by using The normal table. So here, 2.2 up to + +275 +00:24:39,580 --> 00:24:47,900 +5. So 9, 8, 7, 8. 9, 8, 7, 8. + +276 +00:24:53,900 --> 00:25:00,260 +So the area below 2.25, 2.2, this value. All the + +277 +00:25:00,260 --> 00:25:03,940 +way up to 5 gives 987. + +278 +00:25:05,540 --> 00:25:08,860 +Now, what's about the probability of Z smaller + +279 +00:25:08,860 --> 00:25:15,320 +than minus 0.25? If you go back to the Z table, + +280 +00:25:15,380 --> 00:25:18,960 +but for the other one, the negative one. + +281 +00:25:23,120 --> 00:25:28,540 +Minus 2 minus 0.2 up + +282 +00:25:28,540 --> 00:25:34,780 +to 5. 0.4013 minus, + +283 +00:25:36,620 --> 00:25:43,100 +that will give the probability between three and + +284 +00:25:43,100 --> 00:25:43,280 +five. + +285 +00:25:46,180 --> 00:25:48,900 +This is the second part. + +286 +00:25:51,120 --> 00:25:52,460 +So the final answer. + +287 +00:26:00,630 --> 00:26:05,450 +So this is the probability that the selected fish + +288 +00:26:05,450 --> 00:26:10,650 +will weigh between three and five pounds. + +289 +00:26:11,810 --> 00:26:20,770 +Now, other question is, for the same problem, you + +290 +00:26:20,770 --> 00:26:28,020 +said a citation Catfish should be one of the top 2 + +291 +00:26:28,020 --> 00:26:33,860 +% in the weight. Assuming the weights of catfish + +292 +00:26:33,860 --> 00:26:38,660 +are normally distributed, at what weight in bounds + +293 +00:26:38,660 --> 00:26:43,680 +should the citation, the notation be established? + +294 +00:26:45,800 --> 00:26:50,600 +So in this board, he asked about what's the value + +295 +00:26:50,600 --> 00:26:52,120 +of x, for example. + +296 +00:26:57,160 --> 00:27:01,680 +is greater than what value here. And this + +297 +00:27:01,680 --> 00:27:07,880 +probability equals 2%. Because you said the + +298 +00:27:07,880 --> 00:27:14,720 +citation catfish should be one of the top 2%. So + +299 +00:27:14,720 --> 00:27:23,560 +the area in the right here, this area is 2%. + +300 +00:27:26,000 --> 00:27:34,080 +What's the value of x in this case? So here, the + +301 +00:27:34,080 --> 00:27:38,420 +value of x greater than a equals 0.02, and we are + +302 +00:27:38,420 --> 00:27:39,460 +looking for this value. + +303 +00:27:45,750 --> 00:27:49,170 +gives the area to the left side. So this + +304 +00:27:49,170 --> 00:27:54,490 +probability actually, the area to the right is 2%, + +305 +00:27:54,490 --> 00:28:00,810 +so the area to the left is 98%. So this is the + +306 +00:28:00,810 --> 00:28:01,410 +same as, + +307 +00:28:04,610 --> 00:28:07,930 +as we know, the equal sign does not matter because + +308 +00:28:07,930 --> 00:28:09,090 +we have continuous distribution. + +309 +00:28:12,050 --> 00:28:14,650 +continuous distribution, so equal sign does not + +310 +00:28:14,650 --> 00:28:18,510 +matter. So now, if you ask about P of X greater + +311 +00:28:18,510 --> 00:28:22,190 +than a certain value equals a probability of, for + +312 +00:28:22,190 --> 00:28:27,330 +example, 0.02, you have to find the probability to + +313 +00:28:27,330 --> 00:28:31,890 +the left, which is 0.98, because our table gives + +314 +00:28:31,890 --> 00:28:36,470 +the area to the left. Now, we have to find the + +315 +00:28:36,470 --> 00:28:40,820 +value of A such that Probability of X is more than + +316 +00:28:40,820 --> 00:28:44,820 +or equal to 0.98. So again, we have to look at the + +317 +00:28:44,820 --> 00:28:50,140 +normal table, but backwards, because this value is + +318 +00:28:50,140 --> 00:28:53,720 +given. If the probability is given, we have to + +319 +00:28:53,720 --> 00:28:58,900 +look inside the body of the table in order to find + +320 +00:28:58,900 --> 00:28:59,580 +the z-score. + +321 +00:29:03,350 --> 00:29:07,850 +x equals mu plus z sigma in order to find the + +322 +00:29:07,850 --> 00:29:12,290 +corresponding value x. So again, go back to the + +323 +00:29:12,290 --> 00:29:22,010 +normal table, and we are looking for 98%. The + +324 +00:29:22,010 --> 00:29:27,930 +closest value to 98%, look here, if you stop here + +325 +00:29:27,930 --> 00:29:30,850 +at 2, go to the right, + +326 +00:29:33,660 --> 00:29:39,380 +Here we have 9798 or + +327 +00:29:39,380 --> 00:29:41,480 +9803. + +328 +00:29:42,640 --> 00:29:50,460 +So the answer might be your z-score could be 2.05 + +329 +00:29:50,460 --> 00:29:59,440 +or 2.06. So again, in this case, the table does + +330 +00:29:59,440 --> 00:30:04,400 +not give the exact. So the approximate one might + +331 +00:30:04,400 --> 00:30:08,920 +be between them exactly. Or just take one of + +332 +00:30:08,920 --> 00:30:13,140 +these. So either you can take 9798, which is + +333 +00:30:13,140 --> 00:30:19,500 +closer to 98% than 9803, because it's three + +334 +00:30:19,500 --> 00:30:23,780 +distant apart. So maybe we can take this value. + +335 +00:30:24,500 --> 00:30:27,640 +Again, if you take the other one, you will be OK. + +336 +00:30:28,540 --> 00:30:36,730 +So you take either 2.05. or 2.06. So let's take + +337 +00:30:36,730 --> 00:30:45,270 +the first value, for example. So my x equals mu, z + +338 +00:30:45,270 --> 00:30:56,570 +is 2.05, times sigma, 0.8. Multiply 2.05 by 8, 0 + +339 +00:30:56,570 --> 00:31:03,610 +.8, then add 3.2, you will get What's your answer? + +340 +00:31:08,390 --> 00:31:17,450 +3.2 plus 2 point... So around 4.8. So your answer + +341 +00:31:17,450 --> 00:31:18,890 +is 4.84. + +342 +00:31:23,810 --> 00:31:29,470 +Now if you go back to the problem, and suppose you + +343 +00:31:29,470 --> 00:31:30,830 +know the value of x. + +344 +00:31:34,250 --> 00:31:36,010 +So the probability of X. + +345 +00:31:42,990 --> 00:31:45,110 +Double check to the answer. + +346 +00:31:49,490 --> 00:31:58,010 +4.84. Just check. V of X greater than this value + +347 +00:31:58,010 --> 00:32:03,290 +should + +348 +00:32:03,290 --> 00:32:09,500 +be Two percent. Two percent. So the probability of + +349 +00:32:09,500 --> 00:32:13,440 +X greater than this value should be equal to one + +350 +00:32:13,440 --> 00:32:18,980 +zero. So this problem is called backward normal + +351 +00:32:18,980 --> 00:32:24,960 +calculation because here first step we find the + +352 +00:32:24,960 --> 00:32:28,040 +value of this score corresponding to this + +353 +00:32:28,040 --> 00:32:33,420 +probability. Be careful. The probability of X + +354 +00:32:33,420 --> 00:32:38,740 +greater than 2 is 0.02. So my value here should be + +355 +00:32:38,740 --> 00:32:44,980 +to the right. Because it says greater than A is + +356 +00:32:44,980 --> 00:32:51,240 +just 2%. If you switch the position of A, for + +357 +00:32:51,240 --> 00:32:57,130 +example, if A is on this side, And he asked about + +358 +00:32:57,130 --> 00:33:02,850 +E of X greater than E is 2%. This area is not 2%. + +359 +00:33:02,850 --> 00:33:10,050 +From A up to infinity here, this area is not 2% + +360 +00:33:10,050 --> 00:33:14,070 +because at least it's greater than 0.5. Make + +361 +00:33:14,070 --> 00:33:16,610 +sense? So your A should be to the right side. + +362 +00:33:17,590 --> 00:33:21,810 +Because the value of X greater than E, 2% is on + +363 +00:33:21,810 --> 00:33:26,400 +the other side. Let's move to the next one. + +364 +00:33:36,180 --> 00:33:37,660 +For the same question. + +365 +00:33:52,790 --> 00:33:57,150 +Again, the owner of Catfish Market determined the + +366 +00:33:57,150 --> 00:34:00,930 +average weight of a catfish 3.2 with + +367 +00:34:00,930 --> 00:34:04,670 +standardization 0.8 and we are assuming the + +368 +00:34:04,670 --> 00:34:08,270 +weights of catfish are normally distributed, kiosk + +369 +00:34:08,270 --> 00:34:17,390 +above. Above what weight? Do 89.8% of the weights + +370 +00:34:17,390 --> 00:34:18,070 +care? + +371 +00:34:20,630 --> 00:34:27,980 +Above? And above, so x greater than. X minus. And + +372 +00:34:27,980 --> 00:34:34,900 +98, 89, sorry, 89. So this is a percentage he's + +373 +00:34:34,900 --> 00:34:45,860 +looking for. 89.8%. Now what's the value of A? Or + +374 +00:34:45,860 --> 00:34:51,560 +above what weight? Do 89.8% of the weights occur? + +375 +00:34:57,730 --> 00:35:02,670 +You just make the normal curve in order to + +376 +00:35:02,670 --> 00:35:07,010 +understand the probability. Now, A should be to + +377 +00:35:07,010 --> 00:35:11,550 +the right or to the left side? Imagine A in the + +378 +00:35:11,550 --> 00:35:15,990 +right side here. Do you think the area above A is + +379 +00:35:15,990 --> 00:35:21,670 +89%? It's smaller than 0.5 for sure. So it should + +380 +00:35:21,670 --> 00:35:29,950 +be the other side. So this is your 8. Now, this + +381 +00:35:29,950 --> 00:35:36,690 +area makes sense that it's above 0.5. It's 0.8980. + +382 +00:35:38,750 --> 00:35:42,850 +Now, B of X greater than equals this value. And + +383 +00:35:42,850 --> 00:35:46,990 +again, the table gives the area to the left. So + +384 +00:35:46,990 --> 00:35:53,740 +this is actually X less than A, 1 minus this + +385 +00:35:53,740 --> 00:35:56,600 +value, equals 0.1020. + +386 +00:36:01,480 --> 00:36:08,760 +Now go back to + +387 +00:36:08,760 --> 00:36:14,400 +the normal table. Here it's 0.1020. So it should + +388 +00:36:14,400 --> 00:36:17,500 +be negative. I mean, your z-scope should be + +389 +00:36:17,500 --> 00:36:17,800 +negative. + +390 +00:36:22,000 --> 00:36:25,640 +Now look at 0.102. + +391 +00:36:28,560 --> 00:36:38,680 +Exactly this value. 0.102 is minus 1.2 up to 7. So + +392 +00:36:38,680 --> 00:36:39,900 +minus 1.27. + +393 +00:36:49,120 --> 00:36:57,900 +Minus 1.2. All the way up to 7 is 0.102. So the + +394 +00:36:57,900 --> 00:37:04,160 +corresponding z-score is minus 1.17. Now x again + +395 +00:37:04,160 --> 00:37:05,980 +equals mu plus z sigma. + +396 +00:37:10,280 --> 00:37:19,960 +Mu is 3.2 plus z is negative 1.17 times sigma. + +397 +00:37:24,250 --> 00:37:34,390 +So it's equal to 3.2 minus 127 times 0.3. By + +398 +00:37:34,390 --> 00:37:36,510 +calculator, you'll get the final result. + +399 +00:37:51,120 --> 00:37:56,180 +If the probability is smaller than 0.5, then this + +400 +00:37:56,180 --> 00:38:00,480 +one is negative. Go to the other one. If the + +401 +00:38:00,480 --> 00:38:04,040 +probability is above 0.5, then use the positive z + +402 +00:38:04,040 --> 00:38:09,600 +-score. So what's the answer? 2.18. + +403 +00:38:12,680 --> 00:38:19,850 +Be careful. In the previous one, We had a + +404 +00:38:19,850 --> 00:38:28,870 +probability of X greater than A equal 2%. In + +405 +00:38:28,870 --> 00:38:33,070 +this case, the value of A, for example, is located + +406 +00:38:33,070 --> 00:38:35,930 +in the upper tail here. + +407 +00:38:40,210 --> 00:38:45,530 +For this part, you ask about B of X greater than A + +408 +00:38:45,530 --> 00:38:51,090 +equal 0.89. It's here more than 0.5 + +445 +00:42:54,950 --> 00:42:59,010 +Below minus 3, I mean smaller than minus 3, or + +446 +00:42:59,010 --> 00:43:04,010 +above 3, these points are suspected to be + +447 +00:43:04,010 --> 00:43:04,750 +outliers. + +448 +00:43:09,230 --> 00:43:16,230 +So any point, any data value smaller than minus 3 + +449 +00:43:16,230 --> 00:43:22,330 +in this form, or above plus 3 is considered to be + +450 +00:43:22,330 --> 00:43:30,250 +an outlier. If we compute the lower limit, which + +451 +00:43:30,250 --> 00:43:37,310 +is Q1 minus 1.5 IQR over the upper limit. + +452 +00:43:40,170 --> 00:43:47,490 +So we + +453 +00:43:47,490 --> 00:43:51,690 +have lower limit, upper limit. So lower limit. + +454 +00:43:55,400 --> 00:43:56,480 +And upper limit. + +455 +00:43:59,980 --> 00:44:08,420 +Any data point below lower limit or above upper + +456 +00:44:08,420 --> 00:44:13,080 +limit is considered to be a type. So therefore, we + +457 +00:44:13,080 --> 00:44:18,320 +have two methods to determine or to examine if the + +458 +00:44:18,320 --> 00:44:20,960 +observation is enough there or not. One by using + +459 +00:44:20,960 --> 00:44:24,060 +this score, straightforward. And the other one, we + +460 +00:44:24,060 --> 00:44:27,420 +have to look for the lower limit and upper limit. + +461 +00:44:28,960 --> 00:44:34,200 +The other method by using software and later on + +462 +00:44:34,200 --> 00:44:39,380 +you will take SPSS in order to determine if the + +463 +00:44:39,380 --> 00:44:43,100 +data is normally distributed by using something + +464 +00:44:43,100 --> 00:44:52,540 +called QQ plot or normal probability plot. So I'm + +465 +00:44:52,540 --> 00:44:56,710 +going to skip this part. Because data is taken by + +466 +00:44:56,710 --> 00:45:00,970 +using software. But in general, + +467 +00:45:04,330 --> 00:45:11,750 +you may look at this graph. Generally speaking, if + +468 +00:45:11,750 --> 00:45:17,730 +you have a probability plot of a data, and the + +469 +00:45:17,730 --> 00:45:25,530 +points lie on a straight line, or close to it, in + +470 +00:45:25,530 --> 00:45:29,650 +this case, the distribution is normal. It's hard + +471 +00:45:29,650 --> 00:45:33,390 +to make this graph manual. It's better to use + +472 +00:45:33,390 --> 00:45:38,510 +software. But at least if we have this graph, and + +473 +00:45:38,510 --> 00:45:42,150 +the points are close to the straight line. I mean, + +474 +00:45:42,250 --> 00:45:45,950 +the points are either on the straight line, lies + +475 +00:45:45,950 --> 00:45:49,550 +on the straight line, or close to it. In this case, + +476 +00:45:50,870 --> 00:45:55,030 +the data is normally distributed. If the data + +477 +00:45:55,030 --> 00:46:00,870 +points scattered away of the straight line, then + +478 +00:46:00,870 --> 00:46:04,390 +the distribution is not normal, either skewed to + +479 +00:46:04,390 --> 00:46:08,690 +the right or skewed to the left. So for this + +480 +00:46:08,690 --> 00:46:14,150 +specific graph, the plot is normally distributed, + +481 +00:46:14,290 --> 00:46:17,550 +approximately normally distributed. Because most + +482 +00:46:17,550 --> 00:46:23,230 +of the points here lie close to the line and few + +483 +00:46:24,260 --> 00:46:29,660 +are scattered away. Or it means that there are few + +484 +00:46:29,660 --> 00:46:31,940 +outliers in this case, we can ignore these values. + +485 +00:46:33,100 --> 00:46:35,620 +So here the plot is approximately a straight line + +486 +00:46:35,620 --> 00:46:40,360 +except for a few outliers at the low and the + +487 +00:46:40,360 --> 00:46:44,780 +right, those points. So generally speaking, the + +488 +00:46:44,780 --> 00:46:51,200 +distribution is normal distribution. That's all + +489 +00:46:51,200 --> 00:46:53,700 +for this chapter. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/D4aO26sEGrc.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/D4aO26sEGrc.srt new file mode 100644 index 0000000000000000000000000000000000000000..3151a1be7c6cbac081b5b85e47985c79991666aa --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/D4aO26sEGrc.srt @@ -0,0 +1,1008 @@ + +1 +00:00:15,580 --> 00:00:19,700 +In general, the regression equation is given by + +2 +00:00:19,700 --> 00:00:26,460 +this equation. Y represents the dependent variable + +3 +00:00:26,460 --> 00:00:30,680 +for each observation I. Beta 0 is called + +4 +00:00:30,680 --> 00:00:35,280 +population Y intercept. Beta 1 is the population + +5 +00:00:35,280 --> 00:00:39,400 +slope coefficient. Xi is the independent variable + +6 +00:00:39,400 --> 00:00:44,040 +for each observation, I. Epsilon I is the random + +7 +00:00:44,040 --> 00:00:48,420 +error term. Beta 0 plus beta 1 X is called + +8 +00:00:48,420 --> 00:00:53,410 +linear component. While Y and I are random error + +9 +00:00:53,410 --> 00:00:57,130 +components. So, the regression equation mainly has + +10 +00:00:57,130 --> 00:01:01,970 +two components. One is linear and the other is + +11 +00:01:01,970 --> 00:01:05,830 +random. In general, the expected value for this + +12 +00:01:05,830 --> 00:01:08,810 +error term is zero. So, for the predicted + +13 +00:01:08,810 --> 00:01:12,410 +equation, later we will see that Y hat equals B + +14 +00:01:12,410 --> 00:01:15,930 +zero plus B one X. This term will be ignored + +15 +00:01:15,930 --> 00:01:19,770 +because the expected value for the epsilon equals + +16 +00:01:19,770 --> 00:01:20,850 +zero. + +17 +00:01:36,460 --> 00:01:43,580 +So again linear component B0 plus B1 X I and the + +18 +00:01:43,580 --> 00:01:46,860 +random component is the epsilon term. + +19 +00:01:48,880 --> 00:01:53,560 +So if we have X and Y axis, this segment is called + +20 +00:01:53,560 --> 00:01:57,620 +Y intercept which is B0. The change in y divided + +21 +00:01:57,620 --> 00:02:01,480 +by change in x is called the slope. Epsilon i is + +22 +00:02:01,480 --> 00:02:04,480 +the difference between the observed value of y + +23 +00:02:04,480 --> 00:02:10,400 +minus the expected value or the predicted value. + +24 +00:02:10,800 --> 00:02:14,200 +The observed is the actual value. So actual minus + +25 +00:02:14,200 --> 00:02:17,480 +predicted, the difference between these two values + +26 +00:02:17,480 --> 00:02:20,800 +is called the epsilon. So epsilon i is the + +27 +00:02:20,800 --> 00:02:24,460 +difference between the observed value of y for x, + +28 +00:02:25,220 --> 00:02:28,820 +minus the predicted or the estimated value of Y + +29 +00:02:28,820 --> 00:02:33,360 +for XR. So this difference actually is called the + +30 +00:02:33,360 --> 00:02:36,920 +error term. So the error is just observed minus + +31 +00:02:36,920 --> 00:02:38,240 +predicted. + +32 +00:02:40,980 --> 00:02:44,540 +The estimated regression equation is given by Y + +33 +00:02:44,540 --> 00:02:50,210 +hat equals V0 plus V1X. As I mentioned before, the + +34 +00:02:50,210 --> 00:02:53,450 +epsilon term is cancelled because the expected + +35 +00:02:53,450 --> 00:02:57,590 +value for the epsilon equals zero. Here, we have y + +36 +00:02:57,590 --> 00:03:00,790 +hat instead of y because this one is called the + +37 +00:03:00,790 --> 00:03:05,670 +estimated or the predicted value for y for the + +38 +00:03:05,670 --> 00:03:09,670 +observation i. For example, b zero is the estimated + +39 +00:03:09,670 --> 00:03:12,590 +value of the regression intercept, or is called y + +40 +00:03:12,590 --> 00:03:18,030 +intercept. B one is the estimate of the regression of + +41 +00:03:18,030 --> 00:03:21,930 +the slope, so this is the estimated slope b1 xi. + +42 +00:03:21,930 --> 00:03:26,270 +Again, is the independent variable, so x1 it means + +43 +00:03:26,270 --> 00:03:28,630 +the value of the independent variable for + +44 +00:03:28,630 --> 00:03:31,350 +observation number one. Now this equation is + +45 +00:03:31,350 --> 00:03:34,530 +called linear regression equation or regression + +46 +00:03:34,530 --> 00:03:37,230 +model. It's a straight line because here, we are + +47 +00:03:37,230 --> 00:03:41,170 +assuming that the relationship between x and y is + +48 +00:03:41,170 --> 00:03:43,490 +linear. It could be non-linear, but we are + +49 +00:03:43,490 --> 00:03:48,760 +focusing here on just linear regression. Now, the + +50 +00:03:48,760 --> 00:03:52,000 +values for B0 and B1 are given by these equations, + +51 +00:03:52,920 --> 00:03:56,480 +B1 equals RSY divided by SX. So, in order to + +52 +00:03:56,480 --> 00:04:01,040 +determine the values of B0 and B1, we have to know + +53 +00:04:01,040 --> 00:04:07,760 +first the value of R, the correlation coefficient. + +54 +00:04:16,640 --> 00:04:24,980 +Sx and Sy, standard deviations of x and y, as well + +55 +00:04:24,980 --> 00:04:29,880 +as the means of x and y. + +56 +00:04:32,920 --> 00:04:39,500 +B1 equals R times Sy divided by Sx. B0 is just y + +57 +00:04:39,500 --> 00:04:43,600 +bar minus b1 x bar, where Sx and Sy are the + +58 +00:04:43,600 --> 00:04:48,350 +standard deviations of x and y. So this, how can + +59 +00:04:48,350 --> 00:04:53,190 +we compute the values of B0 and B1? Now the + +60 +00:04:53,190 --> 00:04:59,350 +question is, what's our interpretation about B0 + +61 +00:04:59,350 --> 00:05:05,030 +and B1? And B0, as we mentioned before, is the Y + +62 +00:05:05,030 --> 00:05:10,510 +or the estimated mean value of Y when the value X + +63 +00:05:10,510 --> 00:05:10,910 +is 0. + +64 +00:05:17,420 --> 00:05:22,860 +So if X is 0, then Y hat equals B0. That means B0 + +65 +00:05:22,860 --> 00:05:26,420 +is the estimated mean value of Y when the value of + +66 +00:05:26,420 --> 00:05:32,280 +X equals 0. B1, which is called the estimated + +67 +00:05:32,280 --> 00:05:36,880 +change in the mean value of Y as a result of one + +68 +00:05:36,880 --> 00:05:42,360 +unit change in X. That means the sign of B1, + +69 +00:05:48,180 --> 00:05:55,180 +the direction of the relationship between X and Y. + +70 +00:06:03,020 --> 00:06:09,060 +So the sine of B1 tells us the exact direction. It + +71 +00:06:09,060 --> 00:06:12,300 +could be positive if the sine of B1 is positive, or + +72 +00:06:12,300 --> 00:06:17,040 +negative. On the other side. So that's the meaning + +73 +00:06:17,040 --> 00:06:22,040 +of B0 and B1. Now the first thing we have to do in + +74 +00:06:22,040 --> 00:06:23,980 +order to determine if there exists linear + +75 +00:06:23,980 --> 00:06:26,800 +relationship between X and Y, we have to draw + +76 +00:06:26,800 --> 00:06:30,620 +a scatter plot, Y versus X. In this specific + +77 +00:06:30,620 --> 00:06:34,740 +example, X is the square feet, size of the house + +78 +00:06:34,740 --> 00:06:38,760 +is measured by square feet, and house selling + +79 +00:06:38,760 --> 00:06:43,220 +price in thousand dollars. So we have to draw Y + +80 +00:06:43,220 --> 00:06:47,420 +versus X. So house price versus size of the house. + +81 +00:06:48,140 --> 00:06:50,740 +Now, by looking carefully at this scatter plot, + +82 +00:06:51,340 --> 00:06:54,200 +even if it's a small sample size, but you can see + +83 +00:06:54,200 --> 00:06:57,160 +that there exists a positive relationship between + +84 +00:06:57,160 --> 00:07:02,640 +house price and size of the house. The points + +85 +00:07:03,750 --> 00:07:06,170 +maybe they are close, a little bit to the straight + +86 +00:07:06,170 --> 00:07:08,370 +line, it means there exists, maybe a strong + +87 +00:07:08,370 --> 00:07:11,350 +relationship between X and Y. But you can tell the + +88 +00:07:11,350 --> 00:07:15,910 +exact strength of the relationship by using the + +89 +00:07:15,910 --> 00:07:19,270 +value of R. But here we can tell that there exists + +90 +00:07:19,270 --> 00:07:22,290 +a positive relationship, and that relation could be + +91 +00:07:22,290 --> 00:07:23,250 +strong. + +92 +00:07:25,730 --> 00:07:31,350 +Now, simple calculations will give B1 and B0. + +93 +00:07:32,210 --> 00:07:37,510 +Suppose we know the values of R, Sy, and Sx. R, if + +94 +00:07:37,510 --> 00:07:41,550 +you remember last time, R was 0.762. It's moderate + +95 +00:07:41,550 --> 00:07:46,390 +relationship between X and Y. Sy and Sx, 60 + +96 +00:07:46,390 --> 00:07:52,350 +divided by 4 is 117. That will give 0.109. So B0, + +97 +00:07:53,250 --> 00:07:59,430 +in this case, is 0.10977. B1 + +98 +00:08:02,960 --> 00:08:08,720 +B0 equals Y bar minus B1 X bar. B1 is computed in + +99 +00:08:08,720 --> 00:08:12,680 +the previous step, so plug that value here. In + +100 +00:08:12,680 --> 00:08:15,440 +addition, we know the values of X bar and Y bar. + +101 +00:08:15,980 --> 00:08:19,320 +Simple calculation will give the value of B0, + +102 +00:08:19,400 --> 00:08:25,340 +which is about 98.25. After computing the values + +103 +00:08:25,340 --> 00:08:30,600 +of B0 and B1, we can state the regression equation + +104 +00:08:30,600 --> 00:08:34,360 +by house price. The estimated value of house + +105 +00:08:34,360 --> 00:08:39,960 +price, hat in this equation means the estimated or + +106 +00:08:39,960 --> 00:08:43,860 +the predicted value of the house price. Equals b0 + +107 +00:08:43,860 --> 00:08:49,980 +which is 98 plus b1, which is 0.10977 times square + +108 +00:08:49,980 --> 00:08:54,420 +feet. Now here, by using this equation, we can + +109 +00:08:54,420 --> 00:08:58,280 +tell number one, the direction of the relationship + +110 +00:08:58,280 --> 00:09:03,620 +between x and y, how surprised and its size. Since + +111 +00:09:03,620 --> 00:09:05,900 +the sign is positive, it means there exists + +112 +00:09:05,900 --> 00:09:09,000 +a positive association or relationship between + +113 +00:09:09,000 --> 00:09:12,420 +these two variables, number one. Number two, we + +114 +00:09:12,420 --> 00:09:17,060 +can interpret carefully the meaning of the + +115 +00:09:17,060 --> 00:09:21,340 +intercept. Now, as we mentioned before, y hat + +116 +00:09:21,340 --> 00:09:25,600 +equals b zero only if x equals zero. Now, there is + +117 +00:09:25,600 --> 00:09:28,900 +no sense about square feet of zero because we + +118 +00:09:28,900 --> 00:09:32,960 +don't have a size of a house to be zero. But the + +119 +00:09:32,960 --> 00:09:37,880 +slope here is 0.109; it has sense because, as the + +120 +00:09:37,880 --> 00:09:41,450 +size of the house increases by one unit, it's + +121 +00:09:41,450 --> 00:09:46,290 +selling price increased by this amount, 0.109. But + +122 +00:09:46,290 --> 00:09:48,990 +here, you have to be careful to multiply this value + +123 +00:09:48,990 --> 00:09:52,610 +by a thousand because the data is given in + +124 +00:09:52,610 --> 00:09:56,830 +thousand dollars for Y. So, here, as the size of the + +125 +00:09:56,830 --> 00:10:00,590 +house increased by one unit, by one foot, one square + +126 +00:10:00,590 --> 00:10:05,310 +foot, its selling price increases by this amount, 0 + +127 +00:10:05,310 --> 00:10:10,110 +.10977. It should be multiplied by a thousand, so + +128 +00:10:10,110 --> 00:10:18,560 +around $109.77. So that means, extra one square + +129 +00:10:18,560 --> 00:10:24,040 +foot for the size of the house, it cost you around + +130 +00:10:24,040 --> 00:10:30,960 +$100 or $110. So, that's the meaning of B1 and the + +131 +00:10:30,960 --> 00:10:35,060 +sign actually of the slope. In addition to that, + +132 +00:10:35,140 --> 00:10:39,340 +we can make some predictions about house price for + +133 +00:10:39,340 --> 00:10:42,900 +any given value of the size of the house. That + +134 +00:10:42,900 --> 00:10:46,940 +means, if you know that the house size equals 2,000 + +135 +00:10:46,940 --> 00:10:50,580 +square feet, so just plug this value here, and + +136 +00:10:50,580 --> 00:10:54,100 +simple calculation will give the predicted value + +137 +00:10:54,100 --> 00:10:58,230 +of the selling price of a house. That's the whole + +138 +00:10:58,230 --> 00:11:03,950 +story for the simple linear regression. In other + +139 +00:11:03,950 --> 00:11:08,030 +words, we have this equation, so the + +140 +00:11:08,030 --> 00:11:12,690 +interpretation of B0 again. B0 is the estimated + +141 +00:11:12,690 --> 00:11:16,110 +mean value of Y when the value of X is 0. That + +142 +00:11:16,110 --> 00:11:20,700 +means if X is 0, in this range of the observed X + +143 +00:11:20,700 --> 00:11:24,540 +values. That's the meaning of the B0. But again, + +144 +00:11:24,820 --> 00:11:27,700 +because a house cannot have a square footage of + +145 +00:11:27,700 --> 00:11:31,680 +zero, so B0 has no practical application. + +146 +00:11:34,740 --> 00:11:38,760 +On the other hand, the interpretation for B1, B1 + +147 +00:11:38,760 --> 00:11:43,920 +equals 0.10977, that means B1 again estimates the + +148 +00:11:43,920 --> 00:11:46,880 +change in the mean value of Y as a result of one + +149 +00:11:46,880 --> 00:11:51,160 +unit increase in X. In other words, since B1 + +150 +00:11:51,160 --> 00:11:55,680 +equals 0.10977, that tells us that the mean value + +151 +00:11:55,680 --> 00:12:02,030 +of a house increases by this amount, multiplied by + +152 +00:12:02,030 --> 00:12:05,730 +1,000 on average for each additional one square + +153 +00:12:05,730 --> 00:12:09,690 +foot of size. So that's the exact interpretation + +154 +00:12:09,690 --> 00:12:14,630 +about P0 and P1. For the prediction, as I + +155 +00:12:14,630 --> 00:12:18,430 +mentioned, since we have this equation, and our + +156 +00:12:18,430 --> 00:12:21,530 +goal is to predict the price for a house with 2 + +157 +00:12:21,530 --> 00:12:25,450 +,000 square feet, just plug this value here. + +158 +00:12:26,450 --> 00:12:31,130 +Multiply this value by 0.1098, then add the result + +159 +00:12:31,130 --> 00:12:37,750 +to 98.25. This will give 317.85. This value should be + +160 +00:12:37,750 --> 00:12:41,590 +multiplied by 1000, so the predicted price for a + +161 +00:12:41,590 --> 00:12:49,050 +house with 2,000 square feet is around 317,850 + +162 +00:12:49,050 --> 00:12:54,910 +dollars. That's for making the prediction for + +163 +00:12:54,910 --> 00:13:02,050 +selling a price. The last section in chapter 12 + +164 +00:13:02,050 --> 00:13:07,550 +talks about the coefficient of determination R + +165 +00:13:07,550 --> 00:13:11,550 +squared. The definition for the coefficient of + +166 +00:13:11,550 --> 00:13:16,190 +determination is the portion of the total + +167 +00:13:16,190 --> 00:13:19,330 +variation in the dependent variable that is + +168 +00:13:19,330 --> 00:13:21,730 +explained by the variation in the independent + +169 +00:13:21,730 --> 00:13:25,130 +variable. Since we have two variables X and Y. + +170 +00:13:29,510 --> 00:13:34,490 +And the question is, what's the portion of the + +171 +00:13:34,490 --> 00:13:39,530 +total variation that can be explained by X? So, the + +172 +00:13:39,530 --> 00:13:42,030 +question is, what's the portion of the total + +173 +00:13:42,030 --> 00:13:46,070 +variation in Y that is explained already by the + +174 +00:13:46,070 --> 00:13:54,450 +variation in X? For example, suppose R² is 90%, 0 + +175 +00:13:54,450 --> 00:13:59,770 +.90. That means 90% in the variation of the + +176 +00:13:59,770 --> 00:14:05,700 +selling price is explained by its size. That means + +177 +00:14:05,700 --> 00:14:12,580 +the size of the house contributes about 90% to + +178 +00:14:12,580 --> 00:14:17,700 +explain the variability of the selling price. So + +179 +00:14:17,700 --> 00:14:20,460 +we would like to have R squared to be large + +180 +00:14:20,460 --> 00:14:26,620 +enough. Now, R squared for simple regression only + +181 +00:14:26,620 --> 00:14:30,200 +is given by this equation, correlation between X + +182 +00:14:30,200 --> 00:14:31,100 +and Y squared. + +183 +00:14:34,090 --> 00:14:36,510 +So, if we have the correlation between X and Y, and + +184 +00:14:36,510 --> 00:14:40,070 +then you just square this value, that will give + +185 +00:14:40,070 --> 00:14:42,370 +the correlation or the coefficient of + +186 +00:14:42,370 --> 00:14:45,730 +determination. So simply, the determination + +187 +00:14:45,730 --> 00:14:49,510 +coefficient is just the square of the correlation + +188 +00:14:49,510 --> 00:14:54,430 +between X and Y. We know that R ranges between + +189 +00:14:54,430 --> 00:14:55,670 +minus 1 and plus 1. + +190 +00:14:59,150 --> 00:15:05,590 +So, R squared should be ranges between 0 and 1, + +191 +00:15:06,050 --> 00:15:09,830 +because the minus sign will be cancelled, since we are + +192 +00:15:09,830 --> 00:15:12,77 + +223 +00:17:28,410 --> 00:17:32,510 +squared is 90%, it means some, not all, the + +224 +00:17:32,510 --> 00:17:35,830 +variation Y is explained by the variation X. And + +225 +00:17:35,830 --> 00:17:38,590 +the remaining percent in this case, which is 10%, + +226 +00:17:38,590 --> 00:17:42,790 +this one due to, as I mentioned, maybe there + +227 +00:17:42,790 --> 00:17:46,490 +exists some other variables that affect the + +228 +00:17:46,490 --> 00:17:52,020 +selling price besides its size, maybe location of + +229 +00:17:52,020 --> 00:17:57,900 +the house affects its selling price. So R squared + +230 +00:17:57,900 --> 00:18:02,640 +is always between 0 and 1, it's always positive. R + +231 +00:18:02,640 --> 00:18:07,180 +squared equals 0, that only happens if there is no + +232 +00:18:07,180 --> 00:18:12,620 +linear relationship between Y and X. Since R is 0, + +233 +00:18:13,060 --> 00:18:17,240 +then R squared equals 0. That means the value of Y + +234 +00:18:17,240 --> 00:18:20,870 +does not depend on X. Because here, as X + +235 +00:18:20,870 --> 00:18:26,830 +increases, Y stays nearly in the same position. It + +236 +00:18:26,830 --> 00:18:30,190 +means as X increases, Y stays the same, constant. + +237 +00:18:31,010 --> 00:18:33,730 +So that means there is no relationship or actually + +238 +00:18:33,730 --> 00:18:37,010 +there is no linear relationship because it could + +239 +00:18:37,010 --> 00:18:40,710 +be there exists non-linear relationship. But here + +240 +00:18:40,710 --> 00:18:44,980 +we are. Just focusing on linear relationship + +241 +00:18:44,980 --> 00:18:50,020 +between X and Y. So if R is zero, that means the + +242 +00:18:50,020 --> 00:18:52,400 +value of Y does not depend on the value of X. So + +243 +00:18:52,400 --> 00:18:58,360 +as X increases, Y is constant. Now for the + +244 +00:18:58,360 --> 00:19:03,620 +previous example, R was 0.7621. To determine the + +245 +00:19:03,620 --> 00:19:06,760 +coefficient of determination, One more time, + +246 +00:19:07,460 --> 00:19:11,760 +square this value, that's only valid for simple + +247 +00:19:11,760 --> 00:19:14,980 +linear regression. Otherwise, you cannot square + +248 +00:19:14,980 --> 00:19:17,580 +the value of R in order to determine the + +249 +00:19:17,580 --> 00:19:20,820 +coefficient of determination. So again, this is + +250 +00:19:20,820 --> 00:19:26,420 +only true for + +251 +00:19:26,420 --> 00:19:29,980 +simple linear regression. + +252 +00:19:35,460 --> 00:19:41,320 +So R squared is 0.7621 squared will give 0.5808. + +253 +00:19:42,240 --> 00:19:46,120 +Now, the meaning of this value, first you have to + +254 +00:19:46,120 --> 00:19:53,280 +multiply this by 100. So 58.08% of the variation + +255 +00:19:53,280 --> 00:19:57,440 +in house prices is explained by the variation in + +256 +00:19:57,440 --> 00:20:05,190 +square feet. So 58, around 0.08% of the variation + +257 +00:20:05,190 --> 00:20:12,450 +in size of the house, I'm sorry, in the price is + +258 +00:20:12,450 --> 00:20:16,510 +explained by + +259 +00:20:16,510 --> 00:20:25,420 +its size. So size by itself. Size only explains + +260 +00:20:25,420 --> 00:20:30,320 +around 50-80% of the selling price of a house. Now + +261 +00:20:30,320 --> 00:20:35,000 +the remaining percent which is around, this is the + +262 +00:20:35,000 --> 00:20:38,860 +error, or the remaining percent, this one is due + +263 +00:20:38,860 --> 00:20:50,040 +to other variables, other independent variables. + +264 +00:20:51,200 --> 00:20:53,820 +That might affect the change of price. + +265 +00:21:04,840 --> 00:21:11,160 +But since the size of the house explains 58%, that + +266 +00:21:11,160 --> 00:21:15,660 +means it's a significant variable. Now, if we add + +267 +00:21:15,660 --> 00:21:19,250 +more variables, to the regression equation for + +268 +00:21:19,250 --> 00:21:23,950 +sure this value will be increased. So maybe 60 or + +269 +00:21:23,950 --> 00:21:28,510 +65 or 67 and so on. But 60% or 50 is more enough + +270 +00:21:28,510 --> 00:21:31,870 +sometimes. But R squared, as R squared increases, + +271 +00:21:32,090 --> 00:21:35,530 +it means we have good fit of the model. That means + +272 +00:21:35,530 --> 00:21:41,230 +the model is accurate to determine or to make some + +273 +00:21:41,230 --> 00:21:46,430 +prediction. So that's for the coefficient of + +274 +00:21:46,430 --> 00:21:58,350 +determination. Any question? So we covered simple + +275 +00:21:58,350 --> 00:22:01,790 +linear regression model. We know now how can we + +276 +00:22:01,790 --> 00:22:06,390 +compute the values of B0 and B1. We can state or + +277 +00:22:06,390 --> 00:22:10,550 +write the regression equation, and we can do some + +278 +00:22:10,550 --> 00:22:14,370 +interpretation about P0 and P1, making + +279 +00:22:14,370 --> 00:22:21,530 +predictions, and make some comments about the + +280 +00:22:21,530 --> 00:22:27,390 +coefficient of determination. That's all. So I'm + +281 +00:22:27,390 --> 00:22:31,910 +going to stop now, and I will give some time to + +282 +00:22:31,910 --> 00:22:33,030 +discuss some practice. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/EuXnSmrCFuE.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/EuXnSmrCFuE.srt new file mode 100644 index 0000000000000000000000000000000000000000..5684f52fdfdf78dddf2b235414c8098517bd53f2 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/EuXnSmrCFuE.srt @@ -0,0 +1,1846 @@ + +1 +00:00:06,480 --> 00:00:12,100 +Last time, I mean Tuesday, we discussed box plots. + +2 +00:00:12,100 --> 00:00:19,540 +and we introduced how can we use box plots to + +3 +00:00:19,540 --> 00:00:24,160 +determine if any point is suspected to be an + +4 +00:00:24,160 --> 00:00:28,280 +outlier by using the lower limit and upper limit. + +5 +00:00:29,460 --> 00:00:32,980 +And we mentioned last time that if any point is + +6 +00:00:32,980 --> 00:00:38,580 +below the lower limit or is above the upper limit, + +7 +00:00:39,200 --> 00:00:43,000 +that point is considered to be an outlier. So + +8 +00:00:43,000 --> 00:00:46,940 +that's one of the usage of the boxplot. I mean, + +9 +00:00:47,000 --> 00:00:51,360 +for this specific example, we mentioned last time + +10 +00:00:51,360 --> 00:00:56,910 +27 is an outlier. And also here you can tell also + +11 +00:00:56,910 --> 00:01:02,770 +the data are right skewed because the right tail + +12 +00:01:02,770 --> 00:01:06,090 +is much longer than the left tail. I mean + +13 +00:01:06,090 --> 00:01:10,450 +the distance between or from the median and the + +14 +00:01:10,450 --> 00:01:14,150 +maximum value is bigger or larger than the + +15 +00:01:14,150 --> 00:01:16,950 +distance from the median to the smallest value. + +16 +00:01:17,450 --> 00:01:20,870 +That means the data is not symmetric, it's quite + +17 +00:01:20,870 --> 00:01:24,050 +skewed to the right. In this case, you cannot use + +18 +00:01:24,050 --> 00:01:29,370 +the mean or the range as a measure of spread and + +19 +00:01:29,370 --> 00:01:31,730 +median and, I'm sorry, mean as a measure of + +20 +00:01:31,730 --> 00:01:36,130 +central tendency. Because these measures are affected by + +21 +00:01:36,130 --> 00:01:39,450 +outliers. In this case, you have to use the median + +22 +00:01:39,450 --> 00:01:43,690 +instead of the mean and IQR instead of the range + +23 +00:01:43,690 --> 00:01:48,090 +because IQR is the mid-spread of the data because + +24 +00:01:48,090 --> 00:01:52,790 +we just take the range from Q3 to Q1. That means + +25 +00:01:52,790 --> 00:01:57,450 +we ignore the data below Q1 and data after Q3. + +26 +00:01:57,970 --> 00:02:01,370 +That means IQR is not affected by outliers and it's + +27 +00:02:01,370 --> 00:02:04,610 +better to use it instead of R, of the range. + +28 +00:02:07,470 --> 00:02:10,950 +If the data has an outlier, it's better just to + +29 +00:02:10,950 --> 00:02:13,990 +make a star or circle for the box plot because + +30 +00:02:13,990 --> 00:02:17,250 +this one mentioned that that point is an outlier. + +31 +00:02:18,390 --> 00:02:21,390 +Sometimes an outlier is the maximum value or the largest + +32 +00:02:21,390 --> 00:02:25,000 +value you have. Sometimes maybe the minimum value. + +33 +00:02:25,520 --> 00:02:28,480 +So it depends on the data. For this example, 27, + +34 +00:02:28,720 --> 00:02:33,360 +which was the maximum, is an outlier. But zero is + +35 +00:02:33,360 --> 00:02:36,520 +not an outlier in this case, because zero is above + +36 +00:02:36,520 --> 00:02:41,500 +the lower limit. Let's move to the next topic, + +37 +00:02:42,140 --> 00:02:48,060 +which talks about covariance and correlation. + +38 +00:02:48,960 --> 00:02:51,740 +Later, we'll talk in more details about + +39 +00:02:53,020 --> 00:02:56,060 +correlation and regression, that's when maybe + +40 +00:02:56,060 --> 00:03:02,840 +chapter 11 or 12. But here we just show how can we + +41 +00:03:02,840 --> 00:03:05,420 +compute the covariance of the correlation + +42 +00:03:05,420 --> 00:03:10,220 +coefficient and what's the meaning of that value + +43 +00:03:10,220 --> 00:03:15,840 +we have. The covariance means it measures the + +44 +00:03:15,840 --> 00:03:21,090 +strength of the linear relationship between two + +45 +00:03:21,090 --> 00:03:25,410 +numerical variables. That means if the data set is + +46 +00:03:25,410 --> 00:03:29,770 +numeric, I mean if both variables are numeric, in + +47 +00:03:29,770 --> 00:03:33,050 +this case we can use the covariance to measure the + +48 +00:03:33,050 --> 00:03:38,390 +strength of the linear association or relationship + +49 +00:03:38,390 --> 00:03:42,310 +between two numerical variables. Now the formula + +50 +00:03:42,310 --> 00:03:45,330 +is used to compute the covariance given by this + +51 +00:03:45,330 --> 00:03:52,540 +one. It's the summation of the product of xi minus x + +52 +00:03:52,540 --> 00:03:56,380 +bar, yi minus y bar, divided by n minus 1. + +53 +00:03:59,660 --> 00:04:03,120 +So we need first to compute the means of x and y, + +54 +00:04:03,620 --> 00:04:07,680 +then find x minus x bar times y minus y bar, then + +55 +00:04:07,680 --> 00:04:11,160 +sum all of these values, then divide by n minus 1. + +56 +00:04:12,870 --> 00:04:17,770 +The covariance only concerns with the strength of + +57 +00:04:17,770 --> 00:04:23,370 +the relationship. By using the sign of the + +58 +00:04:23,370 --> 00:04:27,010 +covariance, you can tell if there exists a positive + +59 +00:04:27,010 --> 00:04:31,070 +or negative relationship between the two + +60 +00:04:31,070 --> 00:04:33,710 +variables. For example, if the covariance between + +61 +00:04:33,710 --> 00:04:42,760 +x and y is positive, that means x and y move in + +62 +00:04:42,760 --> 00:04:48,080 +the same direction. It means that if X goes up, Y + +63 +00:04:48,080 --> 00:04:52,260 +will go in the same direction. If X goes down, also + +64 +00:04:52,260 --> 00:04:55,660 +Y goes down. For example, suppose we are + +65 +00:04:55,660 --> 00:04:57,920 +interested in the relationship between consumption + +66 +00:04:57,920 --> 00:05:02,440 +and income. We know that if income increases, if + +67 +00:05:02,440 --> 00:05:07,160 +income goes up, if your salary goes up, that means + +68 +00:05:07,160 --> 00:05:13,510 +consumption also will go up. So that means they go + +69 +00:05:13,510 --> 00:05:18,650 +in the same or move in the same direction. So for + +70 +00:05:18,650 --> 00:05:20,690 +sure, the covariance between X and Y should be + +71 +00:05:20,690 --> 00:05:25,550 +positive. On the other hand, if the covariance + +72 +00:05:25,550 --> 00:05:31,110 +between X and Y is negative, that means X goes up. + +73 +00:05:32,930 --> 00:05:36,370 +Y will go to the same, to the opposite direction. + +74 +00:05:36,590 --> 00:05:40,090 +I mean they move to the opposite direction. That means + +75 +00:05:40,090 --> 00:05:42,230 +there exists a negative relationship between X and + +76 +00:05:42,230 --> 00:05:47,630 +Y. For example, your score in statistics, a number + +77 +00:05:47,630 --> 00:05:55,220 +of missing classes. If you miss more classes, it + +78 +00:05:55,220 --> 00:05:59,860 +means your score will go down, so as x increases, y + +79 +00:05:59,860 --> 00:06:04,820 +will go down so there is a positive relationship or + +80 +00:06:04,820 --> 00:06:08,720 +negative relationship between x and y, I mean, x + +81 +00:06:08,720 --> 00:06:12,020 +goes up, the other goes in the same direction + +82 +00:06:12,020 --> 00:06:16,500 +sometimes. + +83 +00:06:16,500 --> 00:06:21,800 +There is no relationship between x and y in + +84 +00:06:21,800 --> 00:06:24,780 +that case, covariance between x and y equals zero. + +85 +00:06:24,880 --> 00:06:31,320 +For example, your score in statistics and your + +86 +00:06:31,320 --> 00:06:31,700 +weight. + +87 +00:06:34,540 --> 00:06:36,760 +It makes sense that there is no relationship + +88 +00:06:36,760 --> 00:06:42,680 +between your weight and your score. In this case, + +89 +00:06:43,580 --> 00:06:46,760 +we are saying x and y are independent. I mean, + +90 +00:06:46,840 --> 00:06:50,790 +they are uncorrelated. Because as one variable + +91 +00:06:50,790 --> 00:06:56,010 +increases, the other may go up or go down. Or + +92 +00:06:56,010 --> 00:06:59,690 +maybe remain constant. So that means there exists no + +93 +00:06:59,690 --> 00:07:02,390 +relationship between the two variables. In that + +94 +00:07:02,390 --> 00:07:05,950 +case, the covariance between x and y equals zero. + +95 +00:07:06,450 --> 00:07:09,210 +Now, by using the covariance, you can determine + +96 +00:07:09,210 --> 00:07:12,710 +the direction of the relationship. I mean, you can + +97 +00:07:12,710 --> 00:07:14,850 +just figure out if the relation is positive or + +98 +00:07:14,850 --> 00:07:18,980 +negative. But you cannot tell exactly the strength + +99 +00:07:18,980 --> 00:07:22,100 +of the relationship. I mean, you cannot tell if + +100 +00:07:22,100 --> 00:07:27,640 +they exist. A strong, moderate, or weak relationship, + +101 +00:07:27,640 --> 00:07:31,040 +just you can tell there exists a positive or + +102 +00:07:31,040 --> 00:07:33,520 +negative or maybe the relationship does not exist + +103 +00:07:33,520 --> 00:07:36,580 +but you cannot tell the exact strength of the + +104 +00:07:36,580 --> 00:07:40,120 +relationship by using the value of the covariance + +105 +00:07:40,120 --> 00:07:43,060 +I mean, the size of the covariance does not tell + +106 +00:07:43,060 --> 00:07:48,520 +anything about the strength, so generally speaking + +107 +00:07:48,520 --> 00:07:53,150 +covariance between x and y measures the strength + +108 +00:07:53,150 --> 00:07:58,590 +of two numerical variables, and you only tell if + +109 +00:07:58,590 --> 00:08:01,270 +there exists a positive or negative relationship, + +110 +00:08:01,770 --> 00:08:04,510 +but you cannot tell anything about the strength of + +111 +00:08:04,510 --> 00:08:06,910 +the relationship. Any questions? + +112 +00:08:09,610 --> 00:08:15,210 +So let me ask you just to summarize what I said so + +113 +00:08:15,210 --> 00:08:21,100 +far. Just give me the summary or conclusion of + +114 +00:08:21,100 --> 00:08:24,670 +the covariance. The value of the covariance + +115 +00:08:24,670 --> 00:08:26,810 +determines if the relationship between the + +116 +00:08:26,810 --> 00:08:29,410 +variables is positive or negative, or there is no + +117 +00:08:29,410 --> 00:08:31,970 +relationship, that when the covariance is more than + +118 +00:08:31,970 --> 00:08:34,170 +zero, the meaning is that it's positive, the + +119 +00:08:34,170 --> 00:08:36,930 +relationship is positive and one variable goes up, + +120 +00:08:37,290 --> 00:08:39,590 +another goes up and vice versa. And when the + +121 +00:08:39,590 --> 00:08:41,810 +covariance is less than zero, there is a negative + +122 +00:08:41,810 --> 00:08:44,250 +relationship, and the meaning is that when one + +123 +00:08:44,250 --> 00:08:47,490 +variable goes up, the other goes down, and vice versa. + +124 +00:08:47,490 --> 00:08:50,550 +And when the covariance equals zero, there is no + +125 +00:08:50,550 --> 00:08:53,350 +relationship between the variables. And what's + +126 +00:08:53,350 --> 00:08:54,930 +about the strength? + +127 +00:08:57,950 --> 00:09:03,450 +So it just tells the direction, not the strength of + +128 +00:09:03,450 --> 00:09:08,610 +the relationship. Now, in order to determine both + +129 +00:09:08,610 --> 00:09:12,110 +the direction and the strength, we can use the + +130 +00:09:12,110 --> 00:09:17,580 +coefficient of correlation. The coefficient of + +131 +00:09:17,580 --> 00:09:20,320 +correlation measures the relative strength of the + +132 +00:09:20,320 --> 00:09:22,780 +linear relationship between two numerical + +133 +00:09:22,780 --> 00:09:27,940 +variables. The simplest formula that can be used + +134 +00:09:27,940 --> 00:09:31,220 +to compute the correlation coefficient is given by + +135 +00:09:31,220 --> 00:09:34,440 +this one. Maybe this is the easiest formula you + +136 +00:09:34,440 --> 00:09:38,060 +can use. I mean, it's a shortcut formula for + +137 +00:09:38,060 --> 00:09:40,860 +computation. There are many other formulas to + +138 +00:09:40,860 --> 00:09:44,490 +compute the correlation. This one is the easiest + +139 +00:09:44,490 --> 00:09:52,570 +one. R is just the sum of xy minus n, n is the sample + +140 +00:09:52,570 --> 00:09:57,570 +size, times x bar is the sample mean, y bar is the + +141 +00:09:57,570 --> 00:10:01,090 +sample mean for y, because here we have two + +142 +00:10:01,090 --> 00:10:06,250 +variables, divided by the square root, don't forget + +143 +00:10:06,250 --> 00:10:11,490 +the square root, of two quantities. One concerns + +144 +00:10:11,490 --> 00:10:15,710 +for x and the other for y. The first one, sum of x + +145 +00:10:15,710 --> 00:10:18,850 +squared minus nx bar squared. The other one is + +146 +00:10:18,850 --> 00:10:21,830 +similar, just for the other variable, sum y + +147 +00:10:21,830 --> 00:10:26,090 +squared minus ny bar squared. So in order to + +148 +00:10:26,090 --> 00:10:28,650 +determine the value of R, we need, + +149 +00:10:32,170 --> 00:10:35,890 +suppose for example, we have x and y, then x and + +150 +00:10:35,890 --> 00:10:36,110 +y. + +151 +00:10:40,350 --> 00:10:44,730 +x is called an explanatory + +152 +00:10:44,730 --> 00:10:54,390 +variable and + +153 +00:10:54,390 --> 00:11:04,590 +y is called a response variable + +154 +00:11:04,590 --> 00:11:07,970 +sometimes x is called an independent + +155 +00:11:21,760 --> 00:11:25,320 +For example, suppose we are talking about + +156 +00:11:25,320 --> 00:11:32,280 +consumption and + +157 +00:11:32,280 --> 00:11:36,700 +income. And we are interested in the relationship + +158 +00:11:36,700 --> 00:11:41,360 +between these two variables. Now, except for the + +159 +00:11:41,360 --> 00:11:44,900 +variable or the independent variable, this one affects the + +160 +00:11:44,900 --> 00:11:49,840 +other variable. As we mentioned, as your income + +161 +00:11:49,840 --> 00:11:53,800 +increases, your consumption will go in the same + +162 +00:11:53,800 --> 00:11:59,580 +direction, increasing also. Income causes Y, or + +163 +00:11:59,580 --> 00:12:04,340 +income affects Y. In this case, income is your X. + +164 +00:12:06,180 --> 00:12:07,780 +Most of the time, we use + +165 +00:12:10,790 --> 00:12:15,590 +X for the independent variable. So in this case, the + +166 +00:12:15,590 --> 00:12:19,370 +response variable or your outcome or the dependent + +167 +00:12:19,370 --> 00:12:23,110 +variable is your consumption. So Y is consumption, + +168 +00:12:23,530 --> 00:12:29,150 +X is income. So now in order to determine the + +169 +00:12:29,150 --> 00:12:32,950 +correlation coefficient, we have the data of X and + +170 +00:12:32,950 --> 00:12:33,210 +Y. + +171 +00:12:36,350 --> 00:12:39,190 +The values of X, I mean, the number of pairs of X + +172 +00:12:39,190 --> 00:12:41,990 +should be equal to the number of pairs of Y. So if + +173 +00:12:41,990 --> 00:12:44,930 +we have ten observations for X, we should have the + +174 +00:12:44,930 --> 00:12:50,010 +same number of observations for Y. It's pairs: X1, + +175 +00:12:50,090 --> 00:12:54,750 +Y1, X2, Y2, and so on. Now, the formula to compute + +176 +00:12:54,750 --> 00:13:04,170 +R, the shortcut formula is the sum of XY minus N times + +177 +00:13:04,970 --> 00:13:09,630 +x bar, y bar, divided by the square root of two + +178 +00:13:09,630 --> 00:13:12,770 +quantities. The first one, sum of x squared minus + +179 +00:13:12,770 --> 00:13:17,270 +n x bar squared. The other one, sum of y squared minus ny + +180 +00:13:17,270 --> 00:13:21,710 +y squared. So the first thing we have to do is to + +181 +00:13:21,710 --> 00:13:24,210 +find the mean for each x and y. + +182 +00:13:28,230 --> 00:13:37,210 +So the first step, compute x bar and y bar. Next, if + +183 +00:13:37,210 --> 00:13:41,690 +you look here, we have x and y, x times y. So we + +184 +00:13:41,690 --> 00:13:48,870 +need to compute the product of x times y. So just + +185 +00:13:48,870 --> 00:13:53,870 +for example, suppose x is 10, y is 5. So x times y + +186 +00:13:53,870 --> 00:13:54,970 +is 50. + +187 +00:13:57,810 --> 00:13:59,950 +In addition to that, you have to compute + +188 +00:14:06,790 --> 00:14:12,470 +x squared and y squared. It's like 125. + +189 +00:14:14,810 --> 00:14:18,870 +Do the same calculations for the rest of the data + +190 +00:14:18,870 --> 00:14:22,290 +you have. We have other data here, so we have to + +191 +00:14:22,290 --> 00:14:25,410 +compute the same for the others. + +192 +00:14:28,470 --> 00:14:33,250 +Then finally, just add xy, x squared, y squared. + +193 +00:14:35,910 --> 00:14:40,830 +The values you have here in this formula, in order + +194 +00:14:40,830 --> 00:14:44,830 +to compute the coefficient. + +195 +00:14:54,250 --> 00:15:00,070 +Now, this value ranges between minus one and plus + +196 +00:15:00,070 --> 00:15:00,370 +one. + +197 +00:15:06,520 --> 00:15:10,80 + +223 +00:17:13,090 --> 00:17:13,690 +coefficient? + +224 +00:17:17,010 --> 00:17:23,210 +We said last time outliers affect the mean, the + +225 +00:17:23,210 --> 00:17:28,310 +range, the variance. Now the question is, do + +226 +00:17:28,310 --> 00:17:33,510 +outliers affect the correlation? + +227 +00:17:37,410 --> 00:17:38,170 +Y. + +228 +00:17:43,830 --> 00:17:51,330 +Exactly. The formula for R has X bar in it or Y + +229 +00:17:51,330 --> 00:17:56,670 +bar. So it means outliers affect + +230 +00:17:56,670 --> 00:18:01,210 +the correlation coefficient. So the answer is yes. + +231 +00:18:03,470 --> 00:18:06,410 +Here we have x bar and y bar. Also, there is + +232 +00:18:06,410 --> 00:18:10,690 +another formula to compute R. That formula is + +233 +00:18:10,690 --> 00:18:13,370 +given by covariance between x and y. + +234 +00:18:17,510 --> 00:18:21,930 +These two formulas are quite similar. I mean, by + +235 +00:18:21,930 --> 00:18:26,070 +using this one, we can end with this formula. So + +236 +00:18:26,070 --> 00:18:33,090 +this formula depends on this x is y. standard + +237 +00:18:33,090 --> 00:18:36,170 +deviations of X and Y. That means outlier will + +238 +00:18:36,170 --> 00:18:42,530 +affect the correlation coefficient. So in case of + +239 +00:18:42,530 --> 00:18:45,670 +outliers, R could be changed. + +240 +00:18:51,170 --> 00:18:55,530 +That formula is called simple correlation + +241 +00:18:55,530 --> 00:18:58,790 +coefficient. On the other hand, we have population + +242 +00:18:58,790 --> 00:19:02,200 +correlation coefficient. If you remember last + +243 +00:19:02,200 --> 00:19:08,940 +time, we used X bar as the sample mean and mu as + +244 +00:19:08,940 --> 00:19:14,460 +population mean. Also, S square as sample variance + +245 +00:19:14,460 --> 00:19:18,740 +and sigma square as population variance. Here, R + +246 +00:19:18,740 --> 00:19:24,360 +is used as sample coefficient of correlation and + +247 +00:19:24,360 --> 00:19:29,420 +rho, this Greek letter pronounced as rho. Rho is + +248 +00:19:29,420 --> 00:19:35,160 +used for population coefficient of correlation. + +249 +00:19:37,640 --> 00:19:42,040 +There are some features of R or Rho. The first one + +250 +00:19:42,040 --> 00:19:47,960 +is unity-free. R or Rho is unity-free. That means + +251 +00:19:47,960 --> 00:19:54,900 +if X represents... + +252 +00:19:54,900 --> 00:19:58,960 +And let's assume that the correlation between X + +253 +00:19:58,960 --> 00:20:02,040 +and Y equals 0.75. + +254 +00:20:04,680 --> 00:20:07,260 +Now, in this case, there is no unity. You cannot + +255 +00:20:07,260 --> 00:20:13,480 +say 0.75 years or 0.75 kilograms. It's unity-free. + +256 +00:20:13,940 --> 00:20:17,840 +There is no unit for the correlation coefficient, + +257 +00:20:18,020 --> 00:20:21,120 +the same as Cv. If you remember Cv, the + +258 +00:20:21,120 --> 00:20:24,320 +coefficient of correlation, also this one is unity + +259 +00:20:24,320 --> 00:20:30,500 +-free. The second feature of R ranges between + +260 +00:20:30,500 --> 00:20:36,740 +minus one and plus one. As I mentioned, R lies + +261 +00:20:36,740 --> 00:20:42,340 +between minus one and plus one. Now, by using the + +262 +00:20:42,340 --> 00:20:48,100 +value of R, you can determine two things. Number + +263 +00:20:48,100 --> 00:20:53,360 +one, we can determine the direction. and strength + +264 +00:20:53,360 --> 00:20:56,940 +by using the sign you can determine if there + +265 +00:20:56,940 --> 00:21:03,980 +exists positive or negative so sign of R determine + +266 +00:21:03,980 --> 00:21:08,040 +negative or positive relationship the direction + +267 +00:21:08,040 --> 00:21:17,840 +the absolute value of R I mean absolute of R I + +268 +00:21:17,840 --> 00:21:21,980 +mean ignore the sign So the absolute value of R + +269 +00:21:21,980 --> 00:21:24,100 +determines the strength. + +270 +00:21:27,700 --> 00:21:30,760 +So by using the sine of R, you can determine the + +271 +00:21:30,760 --> 00:21:35,680 +direction, either positive or negative. By using + +272 +00:21:35,680 --> 00:21:37,740 +the absolute value, you can determine the + +273 +00:21:37,740 --> 00:21:43,500 +strength. We can split the strength into two + +274 +00:21:43,500 --> 00:21:52,810 +parts, either strong, moderate, or weak. So weak, + +275 +00:21:53,770 --> 00:21:59,130 +moderate, and strong by using the absolute value + +276 +00:21:59,130 --> 00:22:03,870 +of R. The closer to minus one, if R is close to + +277 +00:22:03,870 --> 00:22:07,010 +minus one, the stronger the negative relationship + +278 +00:22:07,010 --> 00:22:09,430 +between X and Y. For example, imagine + +279 +00:22:22,670 --> 00:22:26,130 +And as we mentioned, R ranges between minus 1 and + +280 +00:22:26,130 --> 00:22:26,630 +plus 1. + +281 +00:22:30,070 --> 00:22:35,710 +So if R is close to minus 1, it's a strong + +282 +00:22:35,710 --> 00:22:41,250 +relationship. Strong linked relationship. The + +283 +00:22:41,250 --> 00:22:45,190 +closer to 1, the stronger the positive + +284 +00:22:45,190 --> 00:22:49,230 +relationship. I mean, if R is close. Strong + +285 +00:22:49,230 --> 00:22:54,480 +positive. So strong in either direction, either to + +286 +00:22:54,480 --> 00:22:57,640 +the left side or to the right side. Strong + +287 +00:22:57,640 --> 00:23:00,280 +negative. On the other hand, there exists strong + +288 +00:23:00,280 --> 00:23:05,940 +negative relationship. Positive. Positive. If R is + +289 +00:23:05,940 --> 00:23:10,640 +close to zero, weak. Here we can say there exists + +290 +00:23:10,640 --> 00:23:15,940 +weak relationship between X and Y. + +291 +00:23:19,260 --> 00:23:25,480 +If R is close to 0.5 or + +292 +00:23:25,480 --> 00:23:32,320 +minus 0.5, you can say there exists positive + +293 +00:23:32,320 --> 00:23:38,840 +-moderate or negative-moderate relationship. So + +294 +00:23:38,840 --> 00:23:42,200 +you can split or you can divide the strength of + +295 +00:23:42,200 --> 00:23:44,540 +the relationship between X and Y into three parts. + +296 +00:23:45,860 --> 00:23:50,700 +Strong, close to minus one of Plus one, weak, + +297 +00:23:51,060 --> 00:23:59,580 +close to zero, moderate, close to 0.5. 0.5 is + +298 +00:23:59,580 --> 00:24:04,580 +halfway between 0 and 1, and minus 0.5 is also + +299 +00:24:04,580 --> 00:24:09,040 +halfway between minus 1 and 0. Now for example, + +300 +00:24:09,920 --> 00:24:15,580 +what's about if R equals minus 0.5? Suppose R1 is + +301 +00:24:15,580 --> 00:24:16,500 +minus 0.5. + +302 +00:24:20,180 --> 00:24:27,400 +strong negative or equal minus point eight strong + +303 +00:24:27,400 --> 00:24:33,540 +negative which is more strong nine nine because + +304 +00:24:33,540 --> 00:24:39,670 +this value is close closer to minus one than Minus + +305 +00:24:39,670 --> 00:24:44,070 +0.8. Even this value is greater than minus 0.9, + +306 +00:24:44,530 --> 00:24:50,870 +but minus 0.9 is close to minus 1, more closer to + +307 +00:24:50,870 --> 00:24:56,910 +minus 1 than minus 0.8. On the other hand, if R + +308 +00:24:56,910 --> 00:25:01,190 +equals 0.75, that means there exists positive + +309 +00:25:01,190 --> 00:25:06,970 +relationship. If R equals 0.85, also there exists + +310 +00:25:06,970 --> 00:25:13,540 +positive. But R2 is stronger than R1, because 0.85 + +311 +00:25:13,540 --> 00:25:20,980 +is closer to plus 1 than 0.7. So we can say that + +312 +00:25:20,980 --> 00:25:23,960 +there exists strong relationship between X and Y, + +313 +00:25:24,020 --> 00:25:27,260 +and this relationship is positive. So again, by + +314 +00:25:27,260 --> 00:25:32,530 +using the sign, you can tell the direction. The + +315 +00:25:32,530 --> 00:25:35,910 +absolute value can tell the strength of the + +316 +00:25:35,910 --> 00:25:39,870 +relationship between X and Y. So there are five + +317 +00:25:39,870 --> 00:25:44,150 +features of R, unity-free. Ranges between minus + +318 +00:25:44,150 --> 00:25:47,750 +one and plus one. Closer to minus one, it means + +319 +00:25:47,750 --> 00:25:51,950 +stronger negative. Closer to plus one, stronger + +320 +00:25:51,950 --> 00:25:56,410 +positive. Close to zero, it means there is no + +321 +00:25:56,410 --> 00:26:00,790 +relationship. Or the weaker, the relationship + +322 +00:26:00,790 --> 00:26:13,240 +between X and Y. By using scatter plots, we + +323 +00:26:13,240 --> 00:26:18,160 +can construct a scatter plot by plotting the Y + +324 +00:26:18,160 --> 00:26:24,060 +values versus the X values. Y in the vertical axis + +325 +00:26:24,060 --> 00:26:28,400 +and X in the horizontal axis. If you look + +326 +00:26:28,400 --> 00:26:34,500 +carefully at graph number one and three, We see + +327 +00:26:34,500 --> 00:26:42,540 +that all the points lie on the straight line, + +328 +00:26:44,060 --> 00:26:48,880 +either this way or the other way. If all the + +329 +00:26:48,880 --> 00:26:52,320 +points lie on the straight line, it means they + +330 +00:26:52,320 --> 00:26:56,970 +exist perfectly. not even strong it's perfect + +331 +00:26:56,970 --> 00:27:02,710 +relationship either negative or positive so this + +332 +00:27:02,710 --> 00:27:07,530 +one perfect negative negative + +333 +00:27:07,530 --> 00:27:14,090 +because x increases y goes down decline so if x is + +334 +00:27:14,090 --> 00:27:19,590 +for example five maybe y is supposed to twenty if + +335 +00:27:19,590 --> 00:27:25,510 +x increased to seven maybe y is fifteen So if X + +336 +00:27:25,510 --> 00:27:29,290 +increases, in this case, Y declines or decreases, + +337 +00:27:29,850 --> 00:27:34,290 +it means there exists negative relationship. On + +338 +00:27:34,290 --> 00:27:40,970 +the other hand, the left corner here, positive + +339 +00:27:40,970 --> 00:27:44,710 +relationship, because X increases, Y also goes up. + +340 +00:27:45,970 --> 00:27:48,990 +And perfect, because all the points lie on the + +341 +00:27:48,990 --> 00:27:52,110 +straight line. So it's perfect, positive, perfect, + +342 +00:27:52,250 --> 00:27:57,350 +negative relationship. So it's straightforward to + +343 +00:27:57,350 --> 00:27:59,550 +determine if it's perfect by using scatterplot. + +344 +00:28:02,230 --> 00:28:04,950 +Also, by scatterplot, you can tell the direction + +345 +00:28:04,950 --> 00:28:09,270 +of the relationship. For the second scatterplot, + +346 +00:28:09,630 --> 00:28:12,270 +it seems to be that there exists negative + +347 +00:28:12,270 --> 00:28:13,730 +relationship between X and Y. + +348 +00:28:16,850 --> 00:28:21,030 +In this one, also there exists a relationship + +349 +00:28:24,730 --> 00:28:32,170 +positive which one is strong more strong this + +350 +00:28:32,170 --> 00:28:37,110 +one is stronger because the points are close to + +351 +00:28:37,110 --> 00:28:40,710 +the straight line much more than the other scatter + +352 +00:28:40,710 --> 00:28:43,410 +plot so you can say there exists negative + +353 +00:28:43,410 --> 00:28:45,810 +relationship but that one is stronger than the + +354 +00:28:45,810 --> 00:28:49,550 +other one this one is positive but the points are + +355 +00:28:49,550 --> 00:28:55,400 +scattered around the straight line so you can tell + +356 +00:28:55,400 --> 00:29:00,000 +the direction and sometimes sometimes not all the + +357 +00:29:00,000 --> 00:29:04,640 +time you can tell the strength sometimes it's very + +358 +00:29:04,640 --> 00:29:07,960 +clear that the relation is strong if the points + +359 +00:29:07,960 --> 00:29:11,480 +are very close straight line that means the + +360 +00:29:11,480 --> 00:29:15,940 +relation is strong now the other one the last one + +361 +00:29:15,940 --> 00:29:23,850 +here As X increases, Y stays at the same value. + +362 +00:29:23,970 --> 00:29:29,450 +For example, if Y is 20 and X is 1. X is 1, Y is + +363 +00:29:29,450 --> 00:29:33,870 +20. X increases to 2, for example. Y is still 20. + +364 +00:29:34,650 --> 00:29:37,230 +So that means there is no relationship between X + +365 +00:29:37,230 --> 00:29:41,830 +and Y. It's a constant. Y equals a constant value. + +366 +00:29:42,690 --> 00:29:50,490 +Whatever X is, Y will have constant value. So that + +367 +00:29:50,490 --> 00:29:54,790 +means there is no relationship between X and Y. + +368 +00:29:56,490 --> 00:30:01,850 +Let's see how can we compute the correlation + +369 +00:30:01,850 --> 00:30:07,530 +between two variables. For example, suppose we + +370 +00:30:07,530 --> 00:30:12,150 +have data for father's height and son's height. + +371 +00:30:13,370 --> 00:30:16,510 +And we are interested to see if father's height + +372 +00:30:16,510 --> 00:30:21,730 +affects his son's height. So we have data for 10 + +373 +00:30:21,730 --> 00:30:28,610 +observations here. Father number one, his height + +374 +00:30:28,610 --> 00:30:38,570 +is 64 inches. And you know that inch equals 2 + +375 +00:30:38,570 --> 00:30:39,230 +.5. + +376 +00:30:43,520 --> 00:30:52,920 +So X is 64, Sun's height is 65. X is 68, Sun's + +377 +00:30:52,920 --> 00:30:58,820 +height is 67 and so on. Sometimes, if the dataset + +378 +00:30:58,820 --> 00:31:02,600 +is small enough, as in this example, we have just + +379 +00:31:02,600 --> 00:31:08,640 +10 observations, you can tell the direction. I + +380 +00:31:08,640 --> 00:31:12,060 +mean, you can say, yes, for this specific example, + +381 +00:31:12,580 --> 00:31:15,280 +there exists positive relationship between x and + +382 +00:31:15,280 --> 00:31:20,820 +y. But if the data set is large, it's very hard to + +383 +00:31:20,820 --> 00:31:22,620 +figure out if the relation is positive or + +384 +00:31:22,620 --> 00:31:26,400 +negative. So we have to find or to compute the + +385 +00:31:26,400 --> 00:31:29,700 +coefficient of correlation in order to see there + +386 +00:31:29,700 --> 00:31:32,940 +exists positive, negative, strong, weak, or + +387 +00:31:32,940 --> 00:31:37,820 +moderate. but again you can tell from this simple + +388 +00:31:37,820 --> 00:31:40,280 +example yes there is a positive relationship + +389 +00:31:40,280 --> 00:31:44,660 +because just if you pick random numbers here for + +390 +00:31:44,660 --> 00:31:49,240 +example 64 father's height his son's height 65 if + +391 +00:31:49,240 --> 00:31:54,600 +we move up here to 70 for father's height his + +392 +00:31:54,600 --> 00:32:00,160 +son's height is going to be 72 so as father + +393 +00:32:00,160 --> 00:32:05,020 +heights increases Also, son's height increases. + +394 +00:32:06,320 --> 00:32:11,700 +For example, 77, father's height. His son's height + +395 +00:32:11,700 --> 00:32:15,160 +is 76. So that means there exists positive + +396 +00:32:15,160 --> 00:32:19,740 +relationship. Make sense? But again, for large + +397 +00:32:19,740 --> 00:32:20,780 +data, you cannot tell that. + +398 +00:32:31,710 --> 00:32:36,090 +If, again, by using this data, small data, you can + +399 +00:32:36,090 --> 00:32:40,730 +determine just the length, the strength, I'm + +400 +00:32:40,730 --> 00:32:43,490 +sorry, the strength of a relationship or the + +401 +00:32:43,490 --> 00:32:47,590 +direction of the relationship. Just pick any + +402 +00:32:47,590 --> 00:32:51,030 +number at random. For example, if we pick this + +403 +00:32:51,030 --> 00:32:51,290 +number. + +404 +00:32:55,050 --> 00:33:00,180 +Father's height is 68, his son's height is 70. Now + +405 +00:33:00,180 --> 00:33:02,180 +suppose we pick another number that is greater + +406 +00:33:02,180 --> 00:33:05,840 +than 68, then let's see what will happen. For + +407 +00:33:05,840 --> 00:33:11,060 +father's height 70, his son's height increases up + +408 +00:33:11,060 --> 00:33:17,160 +to 72. Similarly, 72 father's height, his son's + +409 +00:33:17,160 --> 00:33:22,060 +height 75. So that means X increases, Y also + +410 +00:33:22,060 --> 00:33:25,740 +increases. So that means there exists both of + +411 +00:33:25 + +445 +00:37:34,210 --> 00:37:40,810 +So square root, that will give this result. So now + +446 +00:37:40,810 --> 00:37:46,990 +R equals this value divided by + +447 +00:37:49,670 --> 00:37:54,890 +155 and round always to two decimal places will + +448 +00:37:54,890 --> 00:38:05,590 +give 87 so r is 87 so first step we have x and y + +449 +00:38:05,590 --> 00:38:12,470 +compute xy x squared y squared sum of these all of + +450 +00:38:12,470 --> 00:38:18,100 +these then x bar y bar values are given Then just + +451 +00:38:18,100 --> 00:38:20,820 +use the formula you have, we'll get R to be at + +452 +00:38:20,820 --> 00:38:31,540 +seven. So in this case, if we just go back to + +453 +00:38:31,540 --> 00:38:33,400 +the slide we have here. + +454 +00:38:36,440 --> 00:38:41,380 +As we mentioned, father's height is the + +455 +00:38:41,380 --> 00:38:45,640 +explanatory variable. Son's height is the response + +456 +00:38:45,640 --> 00:38:46,060 +variable. + +457 +00:38:49,190 --> 00:38:52,810 +And that simple calculation gives summation of xi, + +458 +00:38:54,050 --> 00:38:57,810 +summation of yi, summation x squared, y squared, + +459 +00:38:57,970 --> 00:39:02,690 +and some xy. And finally, we'll get that result, + +460 +00:39:02,850 --> 00:39:07,850 +87%. Now, the sign is positive. That means there + +461 +00:39:07,850 --> 00:39:13,960 +exists positive. And 0.87 is close to 1. That + +462 +00:39:13,960 --> 00:39:17,320 +means there exists strong positive relationship + +463 +00:39:17,320 --> 00:39:22,480 +between father's and son's height. I think the + +464 +00:39:22,480 --> 00:39:25,060 +calculation is straightforward. + +465 +00:39:27,280 --> 00:39:33,280 +Now, for this example, the data are given in + +466 +00:39:33,280 --> 00:39:37,460 +inches. I mean father's and son's height in inch. + +467 +00:39:38,730 --> 00:39:41,050 +Suppose we want to convert from inch to + +468 +00:39:41,050 --> 00:39:44,750 +centimeter, so we have to multiply by 2. Do you + +469 +00:39:44,750 --> 00:39:52,050 +think in this case, R will change? So if we add or + +470 +00:39:52,050 --> 00:39:59,910 +multiply or divide, R will not change? I mean, if + +471 +00:39:59,910 --> 00:40:06,880 +we have X values, And we divide or multiply X, I + +472 +00:40:06,880 --> 00:40:09,460 +mean each value of X, by a number, by a fixed + +473 +00:40:09,460 --> 00:40:12,600 +value. For example, suppose here we multiplied + +474 +00:40:12,600 --> 00:40:19,460 +each value by 2.5 for X. Also multiply Y by the + +475 +00:40:19,460 --> 00:40:24,520 +same value, 2.5. Y will be the same. In addition + +476 +00:40:24,520 --> 00:40:28,920 +to that, if we multiply X by 2.5, for example, and + +477 +00:40:28,920 --> 00:40:34,960 +Y by 5, also R will not change. But you have to be + +478 +00:40:34,960 --> 00:40:39,400 +careful. We multiply each value of x by the same + +479 +00:40:39,400 --> 00:40:45,700 +number. And each value of y by the same number, + +480 +00:40:45,820 --> 00:40:49,640 +that number may be different from x. So I mean + +481 +00:40:49,640 --> 00:40:56,540 +multiply x by 2.5 and y by minus 1 or plus 2 or + +482 +00:40:56,540 --> 00:41:01,000 +whatever you have. But if it's negative, then + +483 +00:41:01,000 --> 00:41:05,640 +we'll get negative answer. I mean if Y is + +484 +00:41:05,640 --> 00:41:08,060 +positive, for example, and we multiply each value + +485 +00:41:08,060 --> 00:41:13,000 +Y by minus one, that will give negative sign. But + +486 +00:41:13,000 --> 00:41:17,640 +here I meant if we multiply this value by positive + +487 +00:41:17,640 --> 00:41:21,320 +sign, plus two, plus three, and let's see how can + +488 +00:41:21,320 --> 00:41:22,540 +we do that by Excel. + +489 +00:41:26,320 --> 00:41:31,480 +Now this is the data we have. I just make copy. + +490 +00:41:37,730 --> 00:41:45,190 +I will multiply each value X by 2.5. And I will do + +491 +00:41:45,190 --> 00:41:49,590 +the same for Y + +492 +00:41:49,590 --> 00:41:57,190 +value. I will replace this data by the new one. + +493 +00:41:58,070 --> 00:42:00,410 +For sure the calculations will, the computations + +494 +00:42:00,410 --> 00:42:09,740 +here will change, but R will stay the same. So + +495 +00:42:09,740 --> 00:42:14,620 +here we multiply each x by 2.5 and the same for y. + +496 +00:42:15,540 --> 00:42:19,400 +The calculations here are different. We have + +497 +00:42:19,400 --> 00:42:22,960 +different sum, different sum of x, sum of y and so + +498 +00:42:22,960 --> 00:42:31,040 +on, but are the same. Let's see if we multiply + +499 +00:42:31,040 --> 00:42:38,880 +just x by 2.5 and y the same. + +500 +00:42:41,840 --> 00:42:49,360 +So we multiplied x by 2.5 and we keep it make + +501 +00:42:49,360 --> 00:42:57,840 +sense? Now let's see how outliers will affect the + +502 +00:42:57,840 --> 00:43:03,260 +value of R. Let's say if we change one point in + +503 +00:43:03,260 --> 00:43:08,480 +the data set support. I just changed 64. + +504 +00:43:13,750 --> 00:43:24,350 +for example if just by typo and just enter 6 so it + +505 +00:43:24,350 --> 00:43:33,510 +was 87 it becomes 0.7 so there is a big difference + +506 +00:43:33,510 --> 00:43:38,670 +between 0.87 and 0.7 and just we change one value + +507 +00:43:38,670 --> 00:43:45,920 +now suppose the other one is zero 82. The other is + +508 +00:43:45,920 --> 00:43:48,260 +2, for example. 1. + +509 +00:43:53,380 --> 00:43:59,200 +I just changed half of the data. Now R was 87, it + +510 +00:43:59,200 --> 00:44:02,920 +becomes 59. That means these outliers, these + +511 +00:44:02,920 --> 00:44:06,180 +values for sure are outliers and they fit the + +512 +00:44:06,180 --> 00:44:07,060 +correlation coefficient. + +513 +00:44:11,110 --> 00:44:14,970 +Now let's see if we just change this 1 to be 200. + +514 +00:44:15,870 --> 00:44:20,430 +It will go from 50 to up to 63. That means any + +515 +00:44:20,430 --> 00:44:26,010 +changes in x or y values will change the y. But if + +516 +00:44:26,010 --> 00:44:30,070 +we add or multiply all the values by a constant, r + +517 +00:44:30,070 --> 00:44:31,170 +will stay the same. + +518 +00:44:35,250 --> 00:44:43,590 +Any questions? That's the end of chapter 3. I will + +519 +00:44:43,590 --> 00:44:48,990 +move quickly to the practice problems we have. And + +520 +00:44:48,990 --> 00:44:55,270 +we posted the practice in the course website. diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/EuXnSmrCFuE_postprocess.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/EuXnSmrCFuE_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..15d957bb6bf647704753c4f2d6824844080ddc52 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/EuXnSmrCFuE_postprocess.srt @@ -0,0 +1,2080 @@ +1 +00:00:06,480 --> 00:00:12,100 +Last time, I mean Tuesday, we discussed box plot + +2 +00:00:12,100 --> 00:00:19,540 +and we introduced how can we use box plot to + +3 +00:00:19,540 --> 00:00:24,160 +determine if any point is suspected to be an + +4 +00:00:24,160 --> 00:00:28,280 +outlier by using the lower limit and upper limit. + +5 +00:00:29,460 --> 00:00:32,980 +And we mentioned last time that if any point is + +6 +00:00:32,980 --> 00:00:38,580 +below the lower limit or is above the upper limit, + +7 +00:00:39,200 --> 00:00:43,000 +that point is considered to be an outlier. So + +8 +00:00:43,000 --> 00:00:46,940 +that's one of the usage of the backsplat. I mean, + +9 +00:00:47,000 --> 00:00:51,360 +for this specific example, we mentioned last time + +10 +00:00:51,360 --> 00:00:56,910 +27 is an outlier. And also here you can tell also + +11 +00:00:56,910 --> 00:01:02,770 +the data are right skewed because the right tail + +12 +00:01:02,770 --> 00:01:06,090 +exactly is much longer than the left tail. I mean + +13 +00:01:06,090 --> 00:01:10,450 +the distance between or from the median and the + +14 +00:01:10,450 --> 00:01:14,150 +maximum value is bigger or larger than the + +15 +00:01:14,150 --> 00:01:16,950 +distance from the median to the smallest value. + +16 +00:01:17,450 --> 00:01:20,870 +That means the data is not symmetric, it's quite + +17 +00:01:20,870 --> 00:01:24,050 +skewed to the right. In this case, you cannot use + +18 +00:01:24,050 --> 00:01:29,370 +the mean or the range as a measure of spread and + +19 +00:01:29,370 --> 00:01:31,730 +median and, I'm sorry, mean as a measure of + +20 +00:01:31,730 --> 00:01:36,130 +tendency. Because these measures are affected by + +21 +00:01:36,130 --> 00:01:39,450 +outcomes. In this case, you have to use the median + +22 +00:01:39,450 --> 00:01:43,690 +instead of the mean and IQR instead of the range + +23 +00:01:43,690 --> 00:01:48,090 +because IQR is the mid-spread of the data because + +24 +00:01:48,090 --> 00:01:52,790 +we just take the range from Q3 to Q1. That means + +25 +00:01:52,790 --> 00:01:57,450 +we ignore The data below Q1 and data after Q3. + +26 +00:01:57,970 --> 00:02:01,370 +That means IQR is not affected by outlier and it's + +27 +00:02:01,370 --> 00:02:04,610 +better to use it instead of R, of the range. + +28 +00:02:07,470 --> 00:02:10,950 +If the data has an outlier, it's better just to + +29 +00:02:10,950 --> 00:02:13,990 +make a star or circle for the box plot because + +30 +00:02:13,990 --> 00:02:17,250 +this one mentioned that that point is an outlier. + +31 +00:02:18,390 --> 00:02:21,390 +Sometimes outlier is maximum value or the largest + +32 +00:02:21,390 --> 00:02:25,000 +value you have. sometimes maybe the minimum value. + +33 +00:02:25,520 --> 00:02:28,480 +So it depends on the data. For this example, 27, + +34 +00:02:28,720 --> 00:02:33,360 +which was the maximum, is an outlier. But zero is + +35 +00:02:33,360 --> 00:02:36,520 +not outlier in this case, because zero is above + +36 +00:02:36,520 --> 00:02:41,500 +the lower limit. Let's move to the next topic, + +37 +00:02:42,140 --> 00:02:48,060 +which talks about covariance and correlation. + +38 +00:02:48,960 --> 00:02:51,740 +Later, we'll talk in more details about + +39 +00:02:53,020 --> 00:02:56,060 +Correlation and regression, that's when maybe + +40 +00:02:56,060 --> 00:03:02,840 +chapter 11 or 12. But here we just show how can we + +41 +00:03:02,840 --> 00:03:05,420 +compute the covariance of the correlation + +42 +00:03:05,420 --> 00:03:10,220 +coefficient and what's the meaning of that value + +43 +00:03:10,220 --> 00:03:15,840 +we have. The covariance means it measures the + +44 +00:03:15,840 --> 00:03:21,090 +strength of the linear relationship between two + +45 +00:03:21,090 --> 00:03:25,410 +numerical variables. That means if the data set is + +46 +00:03:25,410 --> 00:03:29,770 +numeric, I mean if both variables are numeric, in + +47 +00:03:29,770 --> 00:03:33,050 +this case we can use the covariance to measure the + +48 +00:03:33,050 --> 00:03:38,390 +strength of the linear association or relationship + +49 +00:03:38,390 --> 00:03:42,310 +between two numerical variables. Now the formula + +50 +00:03:42,310 --> 00:03:45,330 +is used to compute the covariance given by this + +51 +00:03:45,330 --> 00:03:52,540 +one. It's summation of the product of xi minus x + +52 +00:03:52,540 --> 00:03:56,380 +bar, yi minus y bar, divided by n minus 1. + +53 +00:03:59,660 --> 00:04:03,120 +So we need first to compute the means of x and y, + +54 +00:04:03,620 --> 00:04:07,680 +then find x minus x bar times y minus y bar, then + +55 +00:04:07,680 --> 00:04:11,160 +sum all of these values, then divide by n minus 1. + +56 +00:04:12,870 --> 00:04:17,770 +The covariance only concerned with the strength of + +57 +00:04:17,770 --> 00:04:23,370 +the relationship. By using the sign of the + +58 +00:04:23,370 --> 00:04:27,010 +covariance, you can tell if there exists positive + +59 +00:04:27,010 --> 00:04:31,070 +or negative relationship between the two + +60 +00:04:31,070 --> 00:04:33,710 +variables. For example, if the covariance between + +61 +00:04:33,710 --> 00:04:42,760 +x and y is positive, that means x and y move In + +62 +00:04:42,760 --> 00:04:48,080 +the same direction. It means that if X goes up, Y + +63 +00:04:48,080 --> 00:04:52,260 +will go in the same position. If X goes down, also + +64 +00:04:52,260 --> 00:04:55,660 +Y goes down. For example, suppose we are + +65 +00:04:55,660 --> 00:04:57,920 +interested in the relationship between consumption + +66 +00:04:57,920 --> 00:05:02,440 +and income. We know that if income increases, if + +67 +00:05:02,440 --> 00:05:07,160 +income goes up, if your salary goes up, that means + +68 +00:05:07,160 --> 00:05:13,510 +consumption also will go up. So that means they go + +69 +00:05:13,510 --> 00:05:18,650 +in the same or move in the same position. So for + +70 +00:05:18,650 --> 00:05:20,690 +sure, the covariance between X and Y should be + +71 +00:05:20,690 --> 00:05:25,550 +positive. On the other hand, if the covariance + +72 +00:05:25,550 --> 00:05:31,110 +between X and Y is negative, that means X goes up. + +73 +00:05:32,930 --> 00:05:36,370 +Y will go to the same, to the opposite direction. + +74 +00:05:36,590 --> 00:05:40,090 +I mean they move to opposite direction. That means + +75 +00:05:40,090 --> 00:05:42,230 +there exists negative relationship between X and + +76 +00:05:42,230 --> 00:05:47,630 +Y. For example, you score in statistics a number + +77 +00:05:47,630 --> 00:05:55,220 +of missing classes. If you miss more classes, it + +78 +00:05:55,220 --> 00:05:59,860 +means your score will go down so as x increases y + +79 +00:05:59,860 --> 00:06:04,820 +will go down so there is positive relationship or + +80 +00:06:04,820 --> 00:06:08,720 +negative relationship between x and y i mean x + +81 +00:06:08,720 --> 00:06:12,020 +goes up the other go in the same direction + +82 +00:06:12,020 --> 00:06:16,500 +sometimes + +83 +00:06:16,500 --> 00:06:21,800 +there is exist no relationship between x and y In + +84 +00:06:21,800 --> 00:06:24,780 +that case, covariance between x and y equals zero. + +85 +00:06:24,880 --> 00:06:31,320 +For example, your score in statistics and your + +86 +00:06:31,320 --> 00:06:31,700 +weight. + +87 +00:06:34,540 --> 00:06:36,760 +It makes sense that there is no relationship + +88 +00:06:36,760 --> 00:06:42,680 +between your weight and your score. In this case, + +89 +00:06:43,580 --> 00:06:46,760 +we are saying x and y are independent. I mean, + +90 +00:06:46,840 --> 00:06:50,790 +they are uncorrelated. Because as one variable + +91 +00:06:50,790 --> 00:06:56,010 +increases, the other maybe go up or go down. Or + +92 +00:06:56,010 --> 00:06:59,690 +maybe constant. So that means there exists no + +93 +00:06:59,690 --> 00:07:02,390 +relationship between the two variables. In that + +94 +00:07:02,390 --> 00:07:05,950 +case, the covariance between x and y equals zero. + +95 +00:07:06,450 --> 00:07:09,210 +Now, by using the covariance, you can determine + +96 +00:07:09,210 --> 00:07:12,710 +the direction of the relationship. I mean, you can + +97 +00:07:12,710 --> 00:07:14,850 +just figure out if the relation is positive or + +98 +00:07:14,850 --> 00:07:18,980 +negative. But you cannot tell exactly the strength + +99 +00:07:18,980 --> 00:07:22,100 +of the relationship. I mean you cannot tell if + +100 +00:07:22,100 --> 00:07:27,640 +they exist. strong moderate or weak relationship + +101 +00:07:27,640 --> 00:07:31,040 +just you can tell there exists positive or + +102 +00:07:31,040 --> 00:07:33,520 +negative or maybe the relationship does not exist + +103 +00:07:33,520 --> 00:07:36,580 +but you cannot tell the exact strength of the + +104 +00:07:36,580 --> 00:07:40,120 +relationship by using the value of the covariance + +105 +00:07:40,120 --> 00:07:43,060 +I mean the size of the covariance does not tell + +106 +00:07:43,060 --> 00:07:48,520 +anything about the strength so generally speaking + +107 +00:07:48,520 --> 00:07:53,150 +covariance between x and y measures the strength + +108 +00:07:53,150 --> 00:07:58,590 +of two numerical variables, and you only tell if + +109 +00:07:58,590 --> 00:08:01,270 +there exists positive or negative relationship, + +110 +00:08:01,770 --> 00:08:04,510 +but you cannot tell anything about the strength of + +111 +00:08:04,510 --> 00:08:06,910 +the relationship. Any questions? + +112 +00:08:09,610 --> 00:08:15,210 +So let me ask you just to summarize what I said so + +113 +00:08:15,210 --> 00:08:21,100 +far. Just give me the summary or conclusion. of + +114 +00:08:21,100 --> 00:08:24,670 +the covariance. The value of the covariance + +115 +00:08:24,670 --> 00:08:26,810 +determine if the relationship between the + +116 +00:08:26,810 --> 00:08:29,410 +variables are positive or negative or there is no + +117 +00:08:29,410 --> 00:08:31,970 +relationship that when the covariance is more than + +118 +00:08:31,970 --> 00:08:34,170 +zero, the meaning that it's positive, the + +119 +00:08:34,170 --> 00:08:36,930 +relationship is positive and one variable go up, + +120 +00:08:37,290 --> 00:08:39,590 +another go up and vice versa. And when the + +121 +00:08:39,590 --> 00:08:41,810 +covariance is less than zero, there is negative + +122 +00:08:41,810 --> 00:08:44,250 +relationship and the meaning that when one + +123 +00:08:44,250 --> 00:08:47,490 +variable go up, the other goes down and vice versa + +124 +00:08:47,490 --> 00:08:50,550 +and when the covariance equals zero, there is no + +125 +00:08:50,550 --> 00:08:53,350 +relationship between the variables. And what's + +126 +00:08:53,350 --> 00:08:54,930 +about the strength? + +127 +00:08:57,950 --> 00:09:03,450 +So just tell the direction, not the strength of + +128 +00:09:03,450 --> 00:09:08,610 +the relationship. Now, in order to determine both + +129 +00:09:08,610 --> 00:09:12,110 +the direction and the strength, we can use the + +130 +00:09:12,110 --> 00:09:17,580 +coefficient of correlation. The coefficient of + +131 +00:09:17,580 --> 00:09:20,320 +correlation measures the relative strength of the + +132 +00:09:20,320 --> 00:09:22,780 +linear relationship between two numerical + +133 +00:09:22,780 --> 00:09:27,940 +variables. The simplest formula that can be used + +134 +00:09:27,940 --> 00:09:31,220 +to compute the correlation coefficient is given by + +135 +00:09:31,220 --> 00:09:34,440 +this one. Maybe this is the easiest formula you + +136 +00:09:34,440 --> 00:09:38,060 +can use. I mean, it's shortcut formula for + +137 +00:09:38,060 --> 00:09:40,860 +computation. There are many other formulas to + +138 +00:09:40,860 --> 00:09:44,490 +compute the correlation. This one is the easiest + +139 +00:09:44,490 --> 00:09:52,570 +one. R is just sum of xy minus n, n is the sample + +140 +00:09:52,570 --> 00:09:57,570 +size, times x bar is the sample mean, y bar is the + +141 +00:09:57,570 --> 00:10:01,090 +sample mean for y, because here we have two + +142 +00:10:01,090 --> 00:10:06,250 +variables, divided by square root, don't forget + +143 +00:10:06,250 --> 00:10:11,490 +the square root, of two quantities. One conserved + +144 +00:10:11,490 --> 00:10:15,710 +for x and the other for y. The first one, sum of x + +145 +00:10:15,710 --> 00:10:18,850 +squared minus nx bar squared. The other one is + +146 +00:10:18,850 --> 00:10:21,830 +similar just for the other variables, sum y + +147 +00:10:21,830 --> 00:10:26,090 +squared minus ny bar squared. So in order to + +148 +00:10:26,090 --> 00:10:28,650 +determine the value of R, we need, + +149 +00:10:32,170 --> 00:10:35,890 +suppose for example, we have x and y, theta x and + +150 +00:10:35,890 --> 00:10:36,110 +y. + +151 +00:10:40,350 --> 00:10:44,730 +x is called explanatory + +152 +00:10:44,730 --> 00:10:54,390 +variable and + +153 +00:10:54,390 --> 00:11:04,590 +y is called response variable + +154 +00:11:04,590 --> 00:11:07,970 +sometimes x is called independent + +155 +00:11:21,760 --> 00:11:25,320 +For example, suppose we are talking about + +156 +00:11:25,320 --> 00:11:32,280 +consumption and + +157 +00:11:32,280 --> 00:11:36,700 +input. And we are interested in the relationship + +158 +00:11:36,700 --> 00:11:41,360 +between these two variables. Now, except for the + +159 +00:11:41,360 --> 00:11:44,900 +variable or the independent, this one affects the + +160 +00:11:44,900 --> 00:11:49,840 +other variable. As we mentioned, as your income + +161 +00:11:49,840 --> 00:11:53,800 +increases, your consumption will go in the same + +162 +00:11:53,800 --> 00:11:59,580 +direction, increases also. Income causes Y, or + +163 +00:11:59,580 --> 00:12:04,340 +income affects Y. In this case, income is your X. + +164 +00:12:06,180 --> 00:12:07,780 +Most of the time we use + +165 +00:12:10,790 --> 00:12:15,590 +And Y for independent. So in this case, the + +166 +00:12:15,590 --> 00:12:19,370 +response variable or your outcome or the dependent + +167 +00:12:19,370 --> 00:12:23,110 +variable is your consumption. So Y is consumption, + +168 +00:12:23,530 --> 00:12:29,150 +X is income. So now in order to determine the + +169 +00:12:29,150 --> 00:12:32,950 +correlation coefficient, we have the data of X and + +170 +00:12:32,950 --> 00:12:33,210 +Y. + +171 +00:12:36,350 --> 00:12:39,190 +The values of X, I mean the number of pairs of X + +172 +00:12:39,190 --> 00:12:41,990 +should be equal to the number of pairs of Y. So if + +173 +00:12:41,990 --> 00:12:44,930 +we have ten observations for X, we should have the + +174 +00:12:44,930 --> 00:12:50,010 +same number of observations for Y. It's pairs. X1, + +175 +00:12:50,090 --> 00:12:54,750 +Y1, X2, Y2, and so on. Now, the formula to compute + +176 +00:12:54,750 --> 00:13:04,170 +R, the shortcut formula is sum of XY minus N times + +177 +00:13:04,970 --> 00:13:09,630 +x bar, y bar, divided by the square root of two + +178 +00:13:09,630 --> 00:13:12,770 +quantities. The first one, sum of x squared minus + +179 +00:13:12,770 --> 00:13:17,270 +n x bar. The other one, sum of y squared minus ny + +180 +00:13:17,270 --> 00:13:21,710 +y squared. So the first thing we have to do is to + +181 +00:13:21,710 --> 00:13:24,210 +find the mean for each x and y. + +182 +00:13:28,230 --> 00:13:37,210 +So first step, compute x bar and y bar. Next, if + +183 +00:13:37,210 --> 00:13:41,690 +you look here, we have x and y, x times y. So we + +184 +00:13:41,690 --> 00:13:48,870 +need to compute the product of x times y. So just + +185 +00:13:48,870 --> 00:13:53,870 +for example, suppose x is 10, y is 5. So x times y + +186 +00:13:53,870 --> 00:13:54,970 +is 50. + +187 +00:13:57,810 --> 00:13:59,950 +In addition to that, you have to compute + +188 +00:14:06,790 --> 00:14:12,470 +100 x squared and y squared. It's like 125. + +189 +00:14:14,810 --> 00:14:18,870 +Do the same calculations for the rest of the data + +190 +00:14:18,870 --> 00:14:22,290 +you have. We have other data here, so we have to + +191 +00:14:22,290 --> 00:14:25,410 +compute the same for the others. + +192 +00:14:28,470 --> 00:14:33,250 +Then finally, just add xy, x squared, y squared. + +193 +00:14:35,910 --> 00:14:40,830 +The values you have here in this formula, in order + +194 +00:14:40,830 --> 00:14:44,830 +to compute the coefficient. + +195 +00:14:54,250 --> 00:15:00,070 +Now, this value ranges between minus one and plus + +196 +00:15:00,070 --> 00:15:00,370 +one. + +197 +00:15:06,520 --> 00:15:10,800 +So it's between minus one and plus one. That means + +198 +00:15:10,800 --> 00:15:15,840 +it's never smaller + +199 +00:15:15,840 --> 00:15:20,200 +than minus one or greater than one. It's between + +200 +00:15:20,200 --> 00:15:21,480 +minus one and plus one. + +201 +00:15:24,360 --> 00:15:28,300 +Make sense? I mean if your value is suppose you + +202 +00:15:28,300 --> 00:15:34,520 +did mistake for any of these computations and R + +203 +00:15:34,520 --> 00:15:41,710 +might be 1.15, 115. That means there is an error. + +204 +00:15:42,270 --> 00:15:45,870 +Or for example, if R is negative 1.5, that means + +205 +00:15:45,870 --> 00:15:49,610 +there is a mistake. So you have to find or figure + +206 +00:15:49,610 --> 00:15:55,670 +out what is that mistake. So that's simple + +207 +00:15:55,670 --> 00:15:59,090 +calculations. Usually in the exam, we will give + +208 +00:15:59,090 --> 00:16:01,350 +the formula for the correlation coefficient, as we + +209 +00:16:01,350 --> 00:16:03,590 +mentioned before. In addition to that, we will + +210 +00:16:03,590 --> 00:16:04,330 +give the summation. + +211 +00:16:07,780 --> 00:16:12,720 +The sum of xy is given, sum x squared and sum y + +212 +00:16:12,720 --> 00:16:18,320 +squared. Also sum of x and sum of y, in order to + +213 +00:16:18,320 --> 00:16:22,320 +determine the means of x and y. For example, + +214 +00:16:22,520 --> 00:16:26,860 +suppose I give sum of xi and i goes from 1 to 10 + +215 +00:16:26,860 --> 00:16:31,760 +is 700, for example. You have to know that the + +216 +00:16:31,760 --> 00:16:38,720 +sample size is 10, so x bar. is 700 divided by 10, + +217 +00:16:39,320 --> 00:16:46,180 +so it's 7. Then use the curve to compute the + +218 +00:16:46,180 --> 00:16:52,000 +coefficient of correlation. Questions? I think + +219 +00:16:52,000 --> 00:16:55,900 +straightforward, maybe the easiest topic in this + +220 +00:16:55,900 --> 00:17:02,980 +book is to compute the coefficient of correlation + +221 +00:17:02,980 --> 00:17:09,070 +or correlation coefficient. Now my question is, do + +222 +00:17:09,070 --> 00:17:13,090 +you think outliers affect the correlation + +223 +00:17:13,090 --> 00:17:13,690 +coefficient? + +224 +00:17:17,010 --> 00:17:23,210 +We said last time outliers affect the mean, the + +225 +00:17:23,210 --> 00:17:28,310 +range, the variance. Now the question is, do + +226 +00:17:28,310 --> 00:17:33,510 +outliers affect the correlation? + +227 +00:17:37,410 --> 00:17:38,170 +Y. + +228 +00:17:43,830 --> 00:17:51,330 +Exactly. The formula for R has X bar in it or Y + +229 +00:17:51,330 --> 00:17:56,670 +bar. So it means outliers affect + +230 +00:17:56,670 --> 00:18:01,210 +the correlation coefficient. So the answer is yes. + +231 +00:18:03,470 --> 00:18:06,410 +Here we have x bar and y bar. Also, there is + +232 +00:18:06,410 --> 00:18:10,690 +another formula to compute R. That formula is + +233 +00:18:10,690 --> 00:18:13,370 +given by covariance between x and y. + +234 +00:18:17,510 --> 00:18:21,930 +These two formulas are quite similar. I mean, by + +235 +00:18:21,930 --> 00:18:26,070 +using this one, we can end with this formula. So + +236 +00:18:26,070 --> 00:18:33,090 +this formula depends on this x is y. standard + +237 +00:18:33,090 --> 00:18:36,170 +deviations of X and Y. That means outlier will + +238 +00:18:36,170 --> 00:18:42,530 +affect the correlation coefficient. So in case of + +239 +00:18:42,530 --> 00:18:45,670 +outliers, R could be changed. + +240 +00:18:51,170 --> 00:18:55,530 +That formula is called simple correlation + +241 +00:18:55,530 --> 00:18:58,790 +coefficient. On the other hand, we have population + +242 +00:18:58,790 --> 00:19:02,200 +correlation coefficient. If you remember last + +243 +00:19:02,200 --> 00:19:08,940 +time, we used X bar as the sample mean and mu as + +244 +00:19:08,940 --> 00:19:14,460 +population mean. Also, S square as sample variance + +245 +00:19:14,460 --> 00:19:18,740 +and sigma square as population variance. Here, R + +246 +00:19:18,740 --> 00:19:24,360 +is used as sample coefficient of correlation and + +247 +00:19:24,360 --> 00:19:29,420 +rho, this Greek letter pronounced as rho. Rho is + +248 +00:19:29,420 --> 00:19:35,160 +used for population coefficient of correlation. + +249 +00:19:37,640 --> 00:19:42,040 +There are some features of R or Rho. The first one + +250 +00:19:42,040 --> 00:19:47,960 +is unity-free. R or Rho is unity-free. That means + +251 +00:19:47,960 --> 00:19:54,900 +if X represents... + +252 +00:19:54,900 --> 00:19:58,960 +And let's assume that the correlation between X + +253 +00:19:58,960 --> 00:20:02,040 +and Y equals 0.75. + +254 +00:20:04,680 --> 00:20:07,260 +Now, in this case, there is no unity. You cannot + +255 +00:20:07,260 --> 00:20:13,480 +say 0.75 years or 0.75 kilograms. It's unity-free. + +256 +00:20:13,940 --> 00:20:17,840 +There is no unit for the correlation coefficient, + +257 +00:20:18,020 --> 00:20:21,120 +the same as Cv. If you remember Cv, the + +258 +00:20:21,120 --> 00:20:24,320 +coefficient of correlation, also this one is unity + +259 +00:20:24,320 --> 00:20:30,500 +-free. The second feature of R ranges between + +260 +00:20:30,500 --> 00:20:36,740 +minus one and plus one. As I mentioned, R lies + +261 +00:20:36,740 --> 00:20:42,340 +between minus one and plus one. Now, by using the + +262 +00:20:42,340 --> 00:20:48,100 +value of R, you can determine two things. Number + +263 +00:20:48,100 --> 00:20:53,360 +one, we can determine the direction. and strength + +264 +00:20:53,360 --> 00:20:56,940 +by using the sign you can determine if there + +265 +00:20:56,940 --> 00:21:03,980 +exists positive or negative so sign of R determine + +266 +00:21:03,980 --> 00:21:08,040 +negative or positive relationship the direction + +267 +00:21:08,040 --> 00:21:17,840 +the absolute value of R I mean absolute of R I + +268 +00:21:17,840 --> 00:21:21,980 +mean ignore the sign So the absolute value of R + +269 +00:21:21,980 --> 00:21:24,100 +determines the strength. + +270 +00:21:27,700 --> 00:21:30,760 +So by using the sine of R, you can determine the + +271 +00:21:30,760 --> 00:21:35,680 +direction, either positive or negative. By using + +272 +00:21:35,680 --> 00:21:37,740 +the absolute value, you can determine the + +273 +00:21:37,740 --> 00:21:43,500 +strength. We can split the strength into two + +274 +00:21:43,500 --> 00:21:52,810 +parts, either strong, moderate, or weak. So weak, + +275 +00:21:53,770 --> 00:21:59,130 +moderate, and strong by using the absolute value + +276 +00:21:59,130 --> 00:22:03,870 +of R. The closer to minus one, if R is close to + +277 +00:22:03,870 --> 00:22:07,010 +minus one, the stronger the negative relationship + +278 +00:22:07,010 --> 00:22:09,430 +between X and Y. For example, imagine + +279 +00:22:22,670 --> 00:22:26,130 +And as we mentioned, R ranges between minus 1 and + +280 +00:22:26,130 --> 00:22:26,630 +plus 1. + +281 +00:22:30,070 --> 00:22:35,710 +So if R is close to minus 1, it's a strong + +282 +00:22:35,710 --> 00:22:41,250 +relationship. Strong linked relationship. The + +283 +00:22:41,250 --> 00:22:45,190 +closer to 1, the stronger the positive + +284 +00:22:45,190 --> 00:22:49,230 +relationship. I mean, if R is close. Strong + +285 +00:22:49,230 --> 00:22:54,480 +positive. So strong in either direction, either to + +286 +00:22:54,480 --> 00:22:57,640 +the left side or to the right side. Strong + +287 +00:22:57,640 --> 00:23:00,280 +negative. On the other hand, there exists strong + +288 +00:23:00,280 --> 00:23:05,940 +negative relationship. Positive. Positive. If R is + +289 +00:23:05,940 --> 00:23:10,640 +close to zero, weak. Here we can say there exists + +290 +00:23:10,640 --> 00:23:15,940 +weak relationship between X and Y. + +291 +00:23:19,260 --> 00:23:25,480 +If R is close to 0.5 or + +292 +00:23:25,480 --> 00:23:32,320 +minus 0.5, you can say there exists positive + +293 +00:23:32,320 --> 00:23:38,840 +-moderate or negative-moderate relationship. So + +294 +00:23:38,840 --> 00:23:42,200 +you can split or you can divide the strength of + +295 +00:23:42,200 --> 00:23:44,540 +the relationship between X and Y into three parts. + +296 +00:23:45,860 --> 00:23:50,700 +Strong, close to minus one of Plus one, weak, + +297 +00:23:51,060 --> 00:23:59,580 +close to zero, moderate, close to 0.5. 0.5 is + +298 +00:23:59,580 --> 00:24:04,580 +halfway between 0 and 1, and minus 0.5 is also + +299 +00:24:04,580 --> 00:24:09,040 +halfway between minus 1 and 0. Now for example, + +300 +00:24:09,920 --> 00:24:15,580 +what's about if R equals minus 0.5? Suppose R1 is + +301 +00:24:15,580 --> 00:24:16,500 +minus 0.5. + +302 +00:24:20,180 --> 00:24:27,400 +strong negative or equal minus point eight strong + +303 +00:24:27,400 --> 00:24:33,540 +negative which is more strong nine nine because + +304 +00:24:33,540 --> 00:24:39,670 +this value is close closer to minus one than Minus + +305 +00:24:39,670 --> 00:24:44,070 +0.8. Even this value is greater than minus 0.9, + +306 +00:24:44,530 --> 00:24:50,870 +but minus 0.9 is close to minus 1, more closer to + +307 +00:24:50,870 --> 00:24:56,910 +minus 1 than minus 0.8. On the other hand, if R + +308 +00:24:56,910 --> 00:25:01,190 +equals 0.75, that means there exists positive + +309 +00:25:01,190 --> 00:25:06,970 +relationship. If R equals 0.85, also there exists + +310 +00:25:06,970 --> 00:25:13,540 +positive. But R2 is stronger than R1, because 0.85 + +311 +00:25:13,540 --> 00:25:20,980 +is closer to plus 1 than 0.7. So we can say that + +312 +00:25:20,980 --> 00:25:23,960 +there exists strong relationship between X and Y, + +313 +00:25:24,020 --> 00:25:27,260 +and this relationship is positive. So again, by + +314 +00:25:27,260 --> 00:25:32,530 +using the sign, you can tell the direction. The + +315 +00:25:32,530 --> 00:25:35,910 +absolute value can tell the strength of the + +316 +00:25:35,910 --> 00:25:39,870 +relationship between X and Y. So there are five + +317 +00:25:39,870 --> 00:25:44,150 +features of R, unity-free. Ranges between minus + +318 +00:25:44,150 --> 00:25:47,750 +one and plus one. Closer to minus one, it means + +319 +00:25:47,750 --> 00:25:51,950 +stronger negative. Closer to plus one, stronger + +320 +00:25:51,950 --> 00:25:56,410 +positive. Close to zero, it means there is no + +321 +00:25:56,410 --> 00:26:00,790 +relationship. Or the weaker, the relationship + +322 +00:26:00,790 --> 00:26:13,240 +between X and Y. By using scatter plots, we + +323 +00:26:13,240 --> 00:26:18,160 +can construct a scatter plot by plotting the Y + +324 +00:26:18,160 --> 00:26:24,060 +values versus the X values. Y in the vertical axis + +325 +00:26:24,060 --> 00:26:28,400 +and X in the horizontal axis. If you look + +326 +00:26:28,400 --> 00:26:34,500 +carefully at graph number one and three, We see + +327 +00:26:34,500 --> 00:26:42,540 +that all the points lie on the straight line, + +328 +00:26:44,060 --> 00:26:48,880 +either this way or the other way. If all the + +329 +00:26:48,880 --> 00:26:52,320 +points lie on the straight line, it means they + +330 +00:26:52,320 --> 00:26:56,970 +exist perfectly. not even strong it's perfect + +331 +00:26:56,970 --> 00:27:02,710 +relationship either negative or positive so this + +332 +00:27:02,710 --> 00:27:07,530 +one perfect negative negative + +333 +00:27:07,530 --> 00:27:14,090 +because x increases y goes down decline so if x is + +334 +00:27:14,090 --> 00:27:19,590 +for example five maybe y is supposed to twenty if + +335 +00:27:19,590 --> 00:27:25,510 +x increased to seven maybe y is fifteen So if X + +336 +00:27:25,510 --> 00:27:29,290 +increases, in this case, Y declines or decreases, + +337 +00:27:29,850 --> 00:27:34,290 +it means there exists negative relationship. On + +338 +00:27:34,290 --> 00:27:40,970 +the other hand, the left corner here, positive + +339 +00:27:40,970 --> 00:27:44,710 +relationship, because X increases, Y also goes up. + +340 +00:27:45,970 --> 00:27:48,990 +And perfect, because all the points lie on the + +341 +00:27:48,990 --> 00:27:52,110 +straight line. So it's perfect, positive, perfect, + +342 +00:27:52,250 --> 00:27:57,350 +negative relationship. So it's straightforward to + +343 +00:27:57,350 --> 00:27:59,550 +determine if it's perfect by using scatterplot. + +344 +00:28:02,230 --> 00:28:04,950 +Also, by scatterplot, you can tell the direction + +345 +00:28:04,950 --> 00:28:09,270 +of the relationship. For the second scatterplot, + +346 +00:28:09,630 --> 00:28:12,270 +it seems to be that there exists negative + +347 +00:28:12,270 --> 00:28:13,730 +relationship between X and Y. + +348 +00:28:16,850 --> 00:28:21,030 +In this one, also there exists a relationship + +349 +00:28:24,730 --> 00:28:32,170 +positive which one is strong more strong this + +350 +00:28:32,170 --> 00:28:37,110 +one is stronger because the points are close to + +351 +00:28:37,110 --> 00:28:40,710 +the straight line much more than the other scatter + +352 +00:28:40,710 --> 00:28:43,410 +plot so you can say there exists negative + +353 +00:28:43,410 --> 00:28:45,810 +relationship but that one is stronger than the + +354 +00:28:45,810 --> 00:28:49,550 +other one this one is positive but the points are + +355 +00:28:49,550 --> 00:28:55,400 +scattered around the straight line so you can tell + +356 +00:28:55,400 --> 00:29:00,000 +the direction and sometimes sometimes not all the + +357 +00:29:00,000 --> 00:29:04,640 +time you can tell the strength sometimes it's very + +358 +00:29:04,640 --> 00:29:07,960 +clear that the relation is strong if the points + +359 +00:29:07,960 --> 00:29:11,480 +are very close straight line that means the + +360 +00:29:11,480 --> 00:29:15,940 +relation is strong now the other one the last one + +361 +00:29:15,940 --> 00:29:23,850 +here As X increases, Y stays at the same value. + +362 +00:29:23,970 --> 00:29:29,450 +For example, if Y is 20 and X is 1. X is 1, Y is + +363 +00:29:29,450 --> 00:29:33,870 +20. X increases to 2, for example. Y is still 20. + +364 +00:29:34,650 --> 00:29:37,230 +So that means there is no relationship between X + +365 +00:29:37,230 --> 00:29:41,830 +and Y. It's a constant. Y equals a constant value. + +366 +00:29:42,690 --> 00:29:50,490 +Whatever X is, Y will have constant value. So that + +367 +00:29:50,490 --> 00:29:54,790 +means there is no relationship between X and Y. + +368 +00:29:56,490 --> 00:30:01,850 +Let's see how can we compute the correlation + +369 +00:30:01,850 --> 00:30:07,530 +between two variables. For example, suppose we + +370 +00:30:07,530 --> 00:30:12,150 +have data for father's height and son's height. + +371 +00:30:13,370 --> 00:30:16,510 +And we are interested to see if father's height + +372 +00:30:16,510 --> 00:30:21,730 +affects his son's height. So we have data for 10 + +373 +00:30:21,730 --> 00:30:28,610 +observations here. Father number one, his height + +374 +00:30:28,610 --> 00:30:38,570 +is 64 inches. And you know that inch equals 2 + +375 +00:30:38,570 --> 00:30:39,230 +.5. + +376 +00:30:43,520 --> 00:30:52,920 +So X is 64, Sun's height is 65. X is 68, Sun's + +377 +00:30:52,920 --> 00:30:58,820 +height is 67 and so on. Sometimes, if the dataset + +378 +00:30:58,820 --> 00:31:02,600 +is small enough, as in this example, we have just + +379 +00:31:02,600 --> 00:31:08,640 +10 observations, you can tell the direction. I + +380 +00:31:08,640 --> 00:31:12,060 +mean, you can say, yes, for this specific example, + +381 +00:31:12,580 --> 00:31:15,280 +there exists positive relationship between x and + +382 +00:31:15,280 --> 00:31:20,820 +y. But if the data set is large, it's very hard to + +383 +00:31:20,820 --> 00:31:22,620 +figure out if the relation is positive or + +384 +00:31:22,620 --> 00:31:26,400 +negative. So we have to find or to compute the + +385 +00:31:26,400 --> 00:31:29,700 +coefficient of correlation in order to see there + +386 +00:31:29,700 --> 00:31:32,940 +exists positive, negative, strong, weak, or + +387 +00:31:32,940 --> 00:31:37,820 +moderate. but again you can tell from this simple + +388 +00:31:37,820 --> 00:31:40,280 +example yes there is a positive relationship + +389 +00:31:40,280 --> 00:31:44,660 +because just if you pick random numbers here for + +390 +00:31:44,660 --> 00:31:49,240 +example 64 father's height his son's height 65 if + +391 +00:31:49,240 --> 00:31:54,600 +we move up here to 70 for father's height his + +392 +00:31:54,600 --> 00:32:00,160 +son's height is going to be 72 so as father + +393 +00:32:00,160 --> 00:32:05,020 +heights increases Also, son's height increases. + +394 +00:32:06,320 --> 00:32:11,700 +For example, 77, father's height. His son's height + +395 +00:32:11,700 --> 00:32:15,160 +is 76. So that means there exists positive + +396 +00:32:15,160 --> 00:32:19,740 +relationship. Make sense? But again, for large + +397 +00:32:19,740 --> 00:32:20,780 +data, you cannot tell that. + +398 +00:32:31,710 --> 00:32:36,090 +If, again, by using this data, small data, you can + +399 +00:32:36,090 --> 00:32:40,730 +determine just the length, the strength, I'm + +400 +00:32:40,730 --> 00:32:43,490 +sorry, the strength of a relationship or the + +401 +00:32:43,490 --> 00:32:47,590 +direction of the relationship. Just pick any + +402 +00:32:47,590 --> 00:32:51,030 +number at random. For example, if we pick this + +403 +00:32:51,030 --> 00:32:51,290 +number. + +404 +00:32:55,050 --> 00:33:00,180 +Father's height is 68, his son's height is 70. Now + +405 +00:33:00,180 --> 00:33:02,180 +suppose we pick another number that is greater + +406 +00:33:02,180 --> 00:33:05,840 +than 68, then let's see what will happen. For + +407 +00:33:05,840 --> 00:33:11,060 +father's height 70, his son's height increases up + +408 +00:33:11,060 --> 00:33:17,160 +to 72. Similarly, 72 father's height, his son's + +409 +00:33:17,160 --> 00:33:22,060 +height 75. So that means X increases, Y also + +410 +00:33:22,060 --> 00:33:25,740 +increases. So that means there exists both of + +411 +00:33:25,740 --> 00:33:32,570 +them. For sure it is hard to tell this direction + +412 +00:33:32,570 --> 00:33:36,130 +if the data is large. Because maybe you will find + +413 +00:33:36,130 --> 00:33:40,250 +as X increases for one point, Y maybe decreases + +414 +00:33:40,250 --> 00:33:43,610 +for that point. So it depends on the data you + +415 +00:33:43,610 --> 00:33:49,010 +have. Anyway, let's see how can we compute R. I + +416 +00:33:49,010 --> 00:33:53,770 +will use Excel to show how can we do these + +417 +00:33:53,770 --> 00:33:54,550 +calculations. + +418 +00:34:02,110 --> 00:34:06,530 +The screen is clear. But give me the data of X and + +419 +00:34:06,530 --> 00:34:06,750 +Y. + +420 +00:34:10,710 --> 00:34:14,310 +X is 64. 68. + +421 +00:34:18,910 --> 00:34:26,830 +68. 78. There is one 68. 78. 74. + +422 +00:34:31,120 --> 00:34:37,600 +Seventy-four. Seventy-five. Seventy-six. + +423 +00:34:38,360 --> 00:34:42,240 +Seventy-seven. Seventy-five. So that's the values + +424 +00:34:42,240 --> 00:34:49,440 +of X, Y values. Seventy. Seventy-five. Seventy + +425 +00:34:49,440 --> 00:34:49,800 +-seven. + +426 +00:35:17,230 --> 00:35:23,730 +So first we have to compute it. x times y so + +427 +00:35:23,730 --> 00:35:28,270 +that's as x times + +428 +00:35:28,270 --> 00:35:38,230 +the value of y so 46 times 65 equals 4160 x + +429 +00:35:38,230 --> 00:35:46,050 +squared so this value squared for y squared 65 + +430 +00:35:48,660 --> 00:35:53,700 +Square and we have to do this one for the rest of + +431 +00:35:53,700 --> 00:36:03,160 +the data So + +432 +00:36:03,160 --> 00:36:07,600 +that's the sum of XY sum X squared and Y squared + +433 +00:36:07,600 --> 00:36:13,480 +now the summation So + +434 +00:36:13,480 --> 00:36:17,180 +that's the sum of X and Y + +435 +00:36:20,380 --> 00:36:27,040 +We have to compute the mean of x and y. So that is + +436 +00:36:27,040 --> 00:36:31,380 +this sum divided by n, where n is 10 in this case. + +437 +00:36:34,600 --> 00:36:36,100 +So this is the first step. + +438 +00:36:41,820 --> 00:36:48,900 +Let's see how can we compute R. R, we have sum of + +439 +00:36:48,900 --> 00:37:00,780 +x, y. minus n is 10 times x bar times y bar. This + +440 +00:37:00,780 --> 00:37:03,100 +is the first quantity. The other one is square + +441 +00:37:03,100 --> 00:37:08,580 +root of sum + +442 +00:37:08,580 --> 00:37:15,420 +x squared minus n x bar squared. + +443 +00:37:18,830 --> 00:37:24,770 +times some y squared minus n times y bar squared. + +444 +00:37:28,930 --> 00:37:34,090 +And we have to find the square root of this value. + +445 +00:37:34,210 --> 00:37:40,810 +So square root, that will give this result. So now + +446 +00:37:40,810 --> 00:37:46,990 +R equals this value divided by + +447 +00:37:49,670 --> 00:37:54,890 +155 and round always to two decimal places will + +448 +00:37:54,890 --> 00:38:05,590 +give 87 so r is 87 so first step we have x and y + +449 +00:38:05,590 --> 00:38:12,470 +compute xy x squared y squared sum of these all of + +450 +00:38:12,470 --> 00:38:18,100 +these then x bar y bar values are given Then just + +451 +00:38:18,100 --> 00:38:20,820 +use the formula you have, we'll get R to be at + +452 +00:38:20,820 --> 00:38:31,540 +seven. So in this case, if we just go back to + +453 +00:38:31,540 --> 00:38:33,400 +the slide we have here. + +454 +00:38:36,440 --> 00:38:41,380 +As we mentioned, father's height is the + +455 +00:38:41,380 --> 00:38:45,640 +explanatory variable. Son's height is the response + +456 +00:38:45,640 --> 00:38:46,060 +variable. + +457 +00:38:49,190 --> 00:38:52,810 +And that simple calculation gives summation of xi, + +458 +00:38:54,050 --> 00:38:57,810 +summation of yi, summation x squared, y squared, + +459 +00:38:57,970 --> 00:39:02,690 +and some xy. And finally, we'll get that result, + +460 +00:39:02,850 --> 00:39:07,850 +87%. Now, the sign is positive. That means there + +461 +00:39:07,850 --> 00:39:13,960 +exists positive. And 0.87 is close to 1. That + +462 +00:39:13,960 --> 00:39:17,320 +means there exists strong positive relationship + +463 +00:39:17,320 --> 00:39:22,480 +between father's and son's height. I think the + +464 +00:39:22,480 --> 00:39:25,060 +calculation is straightforward. + +465 +00:39:27,280 --> 00:39:33,280 +Now, for this example, the data are given in + +466 +00:39:33,280 --> 00:39:37,460 +inches. I mean father's and son's height in inch. + +467 +00:39:38,730 --> 00:39:41,050 +Suppose we want to convert from inch to + +468 +00:39:41,050 --> 00:39:44,750 +centimeter, so we have to multiply by 2. Do you + +469 +00:39:44,750 --> 00:39:52,050 +think in this case, R will change? So if we add or + +470 +00:39:52,050 --> 00:39:59,910 +multiply or divide, R will not change? I mean, if + +471 +00:39:59,910 --> 00:40:06,880 +we have X values, And we divide or multiply X, I + +472 +00:40:06,880 --> 00:40:09,460 +mean each value of X, by a number, by a fixed + +473 +00:40:09,460 --> 00:40:12,600 +value. For example, suppose here we multiplied + +474 +00:40:12,600 --> 00:40:19,460 +each value by 2.5 for X. Also multiply Y by the + +475 +00:40:19,460 --> 00:40:24,520 +same value, 2.5. Y will be the same. In addition + +476 +00:40:24,520 --> 00:40:28,920 +to that, if we multiply X by 2.5, for example, and + +477 +00:40:28,920 --> 00:40:34,960 +Y by 5, also R will not change. But you have to be + +478 +00:40:34,960 --> 00:40:39,400 +careful. We multiply each value of x by the same + +479 +00:40:39,400 --> 00:40:45,700 +number. And each value of y by the same number, + +480 +00:40:45,820 --> 00:40:49,640 +that number may be different from x. So I mean + +481 +00:40:49,640 --> 00:40:56,540 +multiply x by 2.5 and y by minus 1 or plus 2 or + +482 +00:40:56,540 --> 00:41:01,000 +whatever you have. But if it's negative, then + +483 +00:41:01,000 --> 00:41:05,640 +we'll get negative answer. I mean if Y is + +484 +00:41:05,640 --> 00:41:08,060 +positive, for example, and we multiply each value + +485 +00:41:08,060 --> 00:41:13,000 +Y by minus one, that will give negative sign. But + +486 +00:41:13,000 --> 00:41:17,640 +here I meant if we multiply this value by positive + +487 +00:41:17,640 --> 00:41:21,320 +sign, plus two, plus three, and let's see how can + +488 +00:41:21,320 --> 00:41:22,540 +we do that by Excel. + +489 +00:41:26,320 --> 00:41:31,480 +Now this is the data we have. I just make copy. + +490 +00:41:37,730 --> 00:41:45,190 +I will multiply each value X by 2.5. And I will do + +491 +00:41:45,190 --> 00:41:49,590 +the same for Y + +492 +00:41:49,590 --> 00:41:57,190 +value. I will replace this data by the new one. + +493 +00:41:58,070 --> 00:42:00,410 +For sure the calculations will, the computations + +494 +00:42:00,410 --> 00:42:09,740 +here will change, but R will stay the same. So + +495 +00:42:09,740 --> 00:42:14,620 +here we multiply each x by 2.5 and the same for y. + +496 +00:42:15,540 --> 00:42:19,400 +The calculations here are different. We have + +497 +00:42:19,400 --> 00:42:22,960 +different sum, different sum of x, sum of y and so + +498 +00:42:22,960 --> 00:42:31,040 +on, but are the same. Let's see if we multiply + +499 +00:42:31,040 --> 00:42:38,880 +just x by 2.5 and y the same. + +500 +00:42:41,840 --> 00:42:49,360 +So we multiplied x by 2.5 and we keep it make + +501 +00:42:49,360 --> 00:42:57,840 +sense? Now let's see how outliers will affect the + +502 +00:42:57,840 --> 00:43:03,260 +value of R. Let's say if we change one point in + +503 +00:43:03,260 --> 00:43:08,480 +the data set support. I just changed 64. + +504 +00:43:13,750 --> 00:43:24,350 +for example if just by typo and just enter 6 so it + +505 +00:43:24,350 --> 00:43:33,510 +was 87 it becomes 0.7 so there is a big difference + +506 +00:43:33,510 --> 00:43:38,670 +between 0.87 and 0.7 and just we change one value + +507 +00:43:38,670 --> 00:43:45,920 +now suppose the other one is zero 82. The other is + +508 +00:43:45,920 --> 00:43:48,260 +2, for example. 1. + +509 +00:43:53,380 --> 00:43:59,200 +I just changed half of the data. Now R was 87, it + +510 +00:43:59,200 --> 00:44:02,920 +becomes 59. That means these outliers, these + +511 +00:44:02,920 --> 00:44:06,180 +values for sure are outliers and they fit the + +512 +00:44:06,180 --> 00:44:07,060 +correlation coefficient. + +513 +00:44:11,110 --> 00:44:14,970 +Now let's see if we just change this 1 to be 200. + +514 +00:44:15,870 --> 00:44:20,430 +It will go from 50 to up to 63. That means any + +515 +00:44:20,430 --> 00:44:26,010 +changes in x or y values will change the y. But if + +516 +00:44:26,010 --> 00:44:30,070 +we add or multiply all the values by a constant, r + +517 +00:44:30,070 --> 00:44:31,170 +will stay the same. + +518 +00:44:35,250 --> 00:44:43,590 +Any questions? That's the end of chapter 3. I will + +519 +00:44:43,590 --> 00:44:48,990 +move quickly to the practice problems we have. And + +520 +00:44:48,990 --> 00:44:55,270 +we posted the practice in the course website. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/FS8UHlZfJpc_raw.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/FS8UHlZfJpc_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..d1d27816e0affa05a9db03c634d59551c51cd7b4 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/FS8UHlZfJpc_raw.srt @@ -0,0 +1,2980 @@ +1 +00:00:05,600 --> 00:00:09,760 +Last time, we talked about the types of samples + +2 +00:00:09,760 --> 00:00:15,880 +and introduces two + +3 +00:00:15,880 --> 00:00:20,120 +types of samples. One is called non-probability + +4 +00:00:20,120 --> 00:00:23,900 +samples, and the other one is probability samples. + +5 +00:00:25,120 --> 00:00:30,560 +And also, we have discussed two types of non + +6 +00:00:30,560 --> 00:00:33,620 +-probability, which are judgment and convenience. + +7 +00:00:35,100 --> 00:00:39,500 +For the product samples also we produced four + +8 +00:00:39,500 --> 00:00:46,560 +types, random sample, systematic, stratified and + +9 +00:00:46,560 --> 00:00:54,400 +clustered sampling. That was last Sunday. Let's + +10 +00:00:54,400 --> 00:01:02,550 +see the comparison between these sampling data. A + +11 +00:01:02,550 --> 00:01:05,370 +simple, random sample, systematic random sample, + +12 +00:01:05,510 --> 00:01:09,930 +first, for these two techniques. First of all, + +13 +00:01:09,970 --> 00:01:13,590 +they are simple to use because we just use the + +14 +00:01:13,590 --> 00:01:18,750 +random tables, random number tables, or by using + +15 +00:01:18,750 --> 00:01:27,690 +any statistical software. But the disadvantage of + +16 +00:01:27,690 --> 00:01:28,490 +this technique + +17 +00:01:37,590 --> 00:01:40,830 +So it might be this sample is not representative + +18 +00:01:40,830 --> 00:01:44,530 +of the entire population. So this is the mainly + +19 +00:01:44,530 --> 00:01:50,230 +disadvantage of this sampling technique. So it can + +20 +00:01:50,230 --> 00:01:56,250 +be used unless the population is not symmetric or + +21 +00:01:56,250 --> 00:02:00,090 +the population is not heterogeneous. I mean if the + +22 +00:02:00,090 --> 00:02:04,510 +population has the same characteristics, then we + +23 +00:02:04,510 --> 00:02:08,870 +can use simple or systematic sample. But if there + +24 +00:02:08,870 --> 00:02:12,110 +are big differences or big disturbances between + +25 +00:02:12,990 --> 00:02:15,510 +the items of the population, I mean between or + +26 +00:02:15,510 --> 00:02:21,550 +among the individuals. In this case, stratified + +27 +00:02:21,550 --> 00:02:26,190 +sampling is better than using a simple random + +28 +00:02:26,190 --> 00:02:30,170 +sample. Stratified samples ensure representation + +29 +00:02:30,170 --> 00:02:33,010 +of individuals across the entire population. If + +30 +00:02:33,010 --> 00:02:36,800 +you remember last time we said A IUG population + +31 +00:02:36,800 --> 00:02:40,340 +can be splitted according to gender, either males + +32 +00:02:40,340 --> 00:02:44,440 +or females, or can be splitted according to + +33 +00:02:44,440 --> 00:02:48,840 +students' levels. First level, second level and + +34 +00:02:48,840 --> 00:02:51,960 +fourth level, and so on. The last type of sampling + +35 +00:02:51,960 --> 00:02:55,340 +was clusters. Cluster sampling is more cost + +36 +00:02:55,340 --> 00:02:59,940 +effective. Because in this case, you have to split + +37 +00:02:59,940 --> 00:03:03,140 +the population into many clusters, then you can + +38 +00:03:03,140 --> 00:03:08,320 +choose a random of these clusters. Also, it's less + +39 +00:03:08,320 --> 00:03:12,720 +efficient unless you use a large sample. For this + +40 +00:03:12,720 --> 00:03:16,460 +reason, it's more cost effective than using the + +41 +00:03:16,460 --> 00:03:20,640 +other sampling techniques. So, these techniques + +42 +00:03:20,640 --> 00:03:23,700 +are used based on the study you have. Sometimes + +43 +00:03:23,700 --> 00:03:26,100 +simple random sampling is fine and you can go + +44 +00:03:26,100 --> 00:03:29,360 +ahead and use it. Most of the time, stratified + +45 +00:03:29,360 --> 00:03:33,340 +random sampling is much better. So, it depends on + +46 +00:03:33,340 --> 00:03:36,940 +the population you have underlying your study. + +47 +00:03:37,680 --> 00:03:40,240 +That was what we talked about last Sunday. + +48 +00:03:43,860 --> 00:03:47,780 +Now, suppose we design a questionnaire or survey. + +49 +00:03:48,640 --> 00:03:52,980 +You have to know, number one, what's the purpose + +50 +00:03:52,980 --> 00:03:59,600 +of the survey. In this case, you can determine the + +51 +00:03:59,600 --> 00:04:02,040 +frame of the population. Next, + +52 +00:04:05,480 --> 00:04:07,660 +survey + +53 +00:04:13,010 --> 00:04:18,350 +Is the survey based on a probability sample? If + +54 +00:04:18,350 --> 00:04:20,830 +the answer is yes, then go ahead and use one of + +55 +00:04:20,830 --> 00:04:22,910 +the non-probability sampling techniques either + +56 +00:04:22,910 --> 00:04:26,610 +similar than some certified cluster or systematic. + +57 +00:04:28,830 --> 00:04:33,330 +Next, we have to distinguish between four types of + +58 +00:04:33,330 --> 00:04:38,770 +errors, at least now. One is called coverage + +59 +00:04:38,770 --> 00:04:44,560 +error. You have to ask yourself, is the frame + +60 +00:04:44,560 --> 00:04:48,880 +appropriate? I mean, frame appropriate means that + +61 +00:04:48,880 --> 00:04:52,540 +you have all the individual list, then you can + +62 +00:04:52,540 --> 00:04:56,040 +choose one of these. For example, suppose we + +63 +00:04:56,040 --> 00:05:01,500 +divide Gaza Strip into four governorates. North + +64 +00:05:01,500 --> 00:05:06,800 +Gaza, Gaza Middle Area, Khanon and Rafah. So we + +65 +00:05:06,800 --> 00:05:12,950 +have five. sections of five governments. In this + +66 +00:05:12,950 --> 00:05:17,430 +case if you, so that's your frame. Now if you + +67 +00:05:17,430 --> 00:05:19,890 +exclude one, for example, and that one is + +68 +00:05:19,890 --> 00:05:22,350 +important for you, but you exclude it for some + +69 +00:05:22,350 --> 00:05:26,270 +reasons, in this case you will have coverage as + +70 +00:05:26,270 --> 00:05:32,600 +well, because you excluded. one group out of five + +71 +00:05:32,600 --> 00:05:36,140 +and that group may be important for your study. + +72 +00:05:36,840 --> 00:05:41,740 +Next is called non-response error. Suppose I + +73 +00:05:41,740 --> 00:05:48,040 +attributed my questionnaire for 100 students and I + +74 +00:05:48,040 --> 00:05:52,840 +gave each one 30 minutes to answer the + +75 +00:05:52,840 --> 00:05:56,380 +questionnaire or to fill up the questionnaire, but + +76 +00:05:56,380 --> 00:06:01,230 +I didn't follow up. the response in this case it + +77 +00:06:01,230 --> 00:06:05,890 +might be you will get something error and that + +78 +00:06:05,890 --> 00:06:09,010 +error refers to non-responsive so you have to + +79 +00:06:09,010 --> 00:06:12,190 +follow up follow up it means maybe sometimes you + +80 +00:06:12,190 --> 00:06:14,670 +need to clarify the question you have in your + +81 +00:06:14,670 --> 00:06:19,510 +questionnaire so that the respondent understand + +82 +00:06:19,510 --> 00:06:21,850 +what do you mean exactly by that question + +83 +00:06:21,850 --> 00:06:25,550 +otherwise if you don't follow up it means it may + +84 +00:06:25,550 --> 00:06:30,550 +be there is an error, and that error is called non + +85 +00:06:30,550 --> 00:06:35,170 +-response. The other type of error is called + +86 +00:06:35,170 --> 00:06:37,150 +measurement error, which is one of the most + +87 +00:06:37,150 --> 00:06:39,910 +important errors, and we have to avoid. + +88 +00:06:42,950 --> 00:06:45,830 +It's called measurement error. Good questions + +89 +00:06:45,830 --> 00:06:50,710 +elicit good responses. It means suppose, for + +90 +00:06:50,710 --> 00:06:57,700 +example, my question is, I feel this candidate is + +91 +00:06:57,700 --> 00:07:01,740 +good for us. What do you think? It's my question. + +92 +00:07:02,820 --> 00:07:08,000 +I feel this candidate, candidate A, whatever he + +93 +00:07:08,000 --> 00:07:15,000 +is, is good for us. What do you think? For sure + +94 +00:07:15,000 --> 00:07:18,080 +there's abundant answer will be yes. I agree with + +95 +00:07:18,080 --> 00:07:22,660 +you. So that means you design the question in the + +96 +00:07:22,660 --> 00:07:28,100 +way that you will know they respond directly that + +97 +00:07:28,100 --> 00:07:31,980 +he will answer yes or no depends on your design of + +98 +00:07:31,980 --> 00:07:36,580 +the question. So it means leading question. So + +99 +00:07:36,580 --> 00:07:40,160 +measurement error. So but if we have good + +100 +00:07:40,160 --> 00:07:43,260 +questions, just ask any question for the + +101 +00:07:43,260 --> 00:07:48,060 +respondent and let him or let his answer based on + +102 +00:07:48,890 --> 00:07:52,850 +what exactly he thinks about it. So don't force + +103 +00:07:52,850 --> 00:07:56,490 +the respondent to answer the question in the + +104 +00:07:56,490 --> 00:07:59,250 +direction you want to be. Otherwise you will get + +105 +00:07:59,250 --> 00:08:03,570 +something called Measurement Error. Do you think? + +106 +00:08:04,910 --> 00:08:06,770 +Give me an example of Measurement Error. + +107 +00:08:09,770 --> 00:08:12,450 +Give me an example of Measurement Error. Just ask + +108 +00:08:12,450 --> 00:08:16,370 +a question in a way that the respondent will + +109 +00:08:16,370 --> 00:08:20,750 +answer I mean his answer will be the same as you + +110 +00:08:20,750 --> 00:08:24,770 +think about it. + +111 +00:08:30,130 --> 00:08:35,130 +Maybe I like coffee, do you like coffee or tea? So + +112 +00:08:35,130 --> 00:08:37,390 +maybe he will go with your answer, in this case + +113 +00:08:37,390 --> 00:08:41,630 +it's measurement. Another example. + +114 +00:09:00,260 --> 00:09:00,860 +Exactly. + +115 +00:09:07,960 --> 00:09:12,420 +So it means that if you design a question in the + +116 +00:09:12,420 --> 00:09:15,420 +way that you will get the same answer you think + +117 +00:09:15,420 --> 00:09:18,910 +about it, It means that you will have something + +118 +00:09:18,910 --> 00:09:21,310 +called measurement error. The last type is + +119 +00:09:21,310 --> 00:09:25,490 +sampling error. Sampling error always happens, + +120 +00:09:25,710 --> 00:09:29,990 +always exists. For example, suppose you are around + +121 +00:09:29,990 --> 00:09:33,150 +50 students in this class. Suppose I select + +122 +00:09:33,150 --> 00:09:40,130 +randomly 20 of you. And I am interested suppose in + +123 +00:09:40,130 --> 00:09:44,090 +your age. Maybe for this sample. + +124 +00:09:46,590 --> 00:09:53,610 +I will get an average of your age of 19 years + +125 +00:09:53,610 --> 00:09:57,370 +someone + +126 +00:09:57,370 --> 00:10:02,050 +select another sample from the same population + +127 +00:10:02,050 --> 00:10:08,670 +with the same size maybe + +128 +00:10:08,670 --> 00:10:13,530 +the average of your age is not equal to 19 years + +129 +00:10:13,530 --> 00:10:16,370 +maybe 19 years 3 months + +130 +00:10:19,330 --> 00:10:24,790 +Someone else maybe also select the same number of + +131 +00:10:24,790 --> 00:10:28,910 +students, but the average of the class might be 20 + +132 +00:10:28,910 --> 00:10:33,690 +years. So the first one, second tier, each of them + +133 +00:10:33,690 --> 00:10:37,830 +has different sample statistics, I mean different + +134 +00:10:37,830 --> 00:10:42,710 +sample means. This difference or this error + +135 +00:10:42,710 --> 00:10:46,470 +actually is called sampling error and always + +136 +00:10:46,470 --> 00:10:52,040 +happens. So now we have five types of errors. One + +137 +00:10:52,040 --> 00:10:54,580 +is called coverage error. In this case, you have + +138 +00:10:54,580 --> 00:10:59,360 +problem with the frame. The other type is called + +139 +00:10:59,360 --> 00:11:03,260 +non-response error. It means you have problem with + +140 +00:11:03,260 --> 00:11:06,620 +following up. Measurement error, it means you have + +141 +00:11:07,810 --> 00:11:11,370 +Bad questionnaire design, the last type is called + +142 +00:11:11,370 --> 00:11:14,130 +semi-error and this one always happens and + +143 +00:11:14,130 --> 00:11:18,390 +actually we would like to have this error, I mean + +144 +00:11:18,390 --> 00:11:22,250 +this semi-error as small as possible. So these are + +145 +00:11:22,250 --> 00:11:25,890 +the steps you have to follow up when you design + +146 +00:11:25,890 --> 00:11:26,430 +the questionnaire. + +147 +00:11:29,490 --> 00:11:34,710 +So again, for these types of errors, the first one + +148 +00:11:34,710 --> 00:11:40,170 +coverage error or selection bias. This type of + +149 +00:11:40,170 --> 00:11:43,830 +error exists if some groups are excluded from the + +150 +00:11:43,830 --> 00:11:48,950 +frame and have no chance of being selected. That's + +151 +00:11:48,950 --> 00:11:51,970 +the first type of error, coverage error. So it + +152 +00:11:51,970 --> 00:11:55,690 +means there is a problem. on the population frame. + +153 +00:11:56,510 --> 00:12:00,450 +Non-response error bias, it means people who don't + +154 +00:12:00,450 --> 00:12:03,230 +respond may be different from those who do + +155 +00:12:03,230 --> 00:12:09,730 +respond. For example, suppose I have a sample of + +156 +00:12:09,730 --> 00:12:11,410 +tennis students. + +157 +00:12:15,910 --> 00:12:22,950 +And I got responses from number two, number five, + +158 +00:12:24,120 --> 00:12:29,420 +And number 10. So I have these point of views for + +159 +00:12:29,420 --> 00:12:34,860 +these three students. Now the other seven students + +160 +00:12:34,860 --> 00:12:41,100 +might be they have different opinions. So the only + +161 +00:12:41,100 --> 00:12:45,220 +thing you have, the opinions of just the three, + +162 +00:12:45,520 --> 00:12:47,800 +and maybe the rest have different opinions, it + +163 +00:12:47,800 --> 00:12:50,680 +means in this case you will have something called + +164 +00:12:50,680 --> 00:12:54,270 +non-responsiveness. Or the same as we said before, + +165 +00:12:54,810 --> 00:12:58,870 +if your question is designed in a correct way. The + +166 +00:12:58,870 --> 00:13:02,130 +other type, Sample Error, variations from sample + +167 +00:13:02,130 --> 00:13:06,230 +to sample will always exist. As I mentioned, here + +168 +00:13:06,230 --> 00:13:10,470 +we select six samples, each one has different + +169 +00:13:10,470 --> 00:13:14,730 +sample mean. The other type, Measurement Error, + +170 +00:13:15,310 --> 00:13:19,200 +due to weakness in question design. So that's the + +171 +00:13:19,200 --> 00:13:25,600 +type of survey errors. So one more time, average + +172 +00:13:25,600 --> 00:13:32,120 +error, it means you exclude a group or groups from + +173 +00:13:32,120 --> 00:13:35,080 +the frame. So in this case, suppose I excluded + +174 +00:13:35,080 --> 00:13:40,380 +these from my frame. So I just select the sample + +175 +00:13:40,380 --> 00:13:45,940 +from all of these except this portion, or these + +176 +00:13:45,940 --> 00:13:49,300 +two groups. Non-response error means you don't + +177 +00:13:49,300 --> 00:13:52,920 +have follow-up on non-responses. Sampling error, + +178 +00:13:54,060 --> 00:13:58,720 +random sample gives different sample statistics. + +179 +00:13:59,040 --> 00:14:01,400 +So it means random differences from sample to + +180 +00:14:01,400 --> 00:14:05,760 +sample. Final measurement error, bad or leading + +181 +00:14:05,760 --> 00:14:09,260 +questions. This is one of the most important ones + +182 +00:14:09,260 --> 00:14:15,310 +that you have to avoid. So that's the first part + +183 +00:14:15,310 --> 00:14:20,910 +of this chapter, assembling techniques. Do you + +184 +00:14:20,910 --> 00:14:24,990 +have any questions? Next, we'll talk about + +185 +00:14:24,990 --> 00:14:30,050 +assembling distributions. So far, up to this + +186 +00:14:30,050 --> 00:14:35,690 +point, I mean at the end of chapter 6, we + +187 +00:14:35,690 --> 00:14:40,840 +discussed the probability For example, of + +188 +00:14:40,840 --> 00:14:46,580 +computing X greater than, for example, 7. For + +189 +00:14:46,580 --> 00:14:53,260 +example, suppose X represents your score in + +190 +00:14:53,260 --> 00:14:55,020 +business statistics course. + +191 +00:14:57,680 --> 00:15:02,680 +And suppose we know that X is normally distributed + +192 +00:15:02,680 --> 00:15:10,860 +with mean of 80, standard deviation of 10. My + +193 +00:15:10,860 --> 00:15:15,360 +question was, in chapter 6, what's the probability + +194 +00:15:15,360 --> 00:15:23,380 +that the student scores more than 70? Suppose we + +195 +00:15:23,380 --> 00:15:26,720 +select randomly one student, and the question is, + +196 +00:15:26,840 --> 00:15:29,980 +what's the probability that his score, so just for + +197 +00:15:29,980 --> 00:15:32,760 +one individual, for one student, his score is + +198 +00:15:32,760 --> 00:15:36,990 +above 70? In that case, if you remember, we + +199 +00:15:36,990 --> 00:15:40,810 +transform from normal distribution to standard + +200 +00:15:40,810 --> 00:15:45,050 +normal distribution by using this equation, which + +201 +00:15:45,050 --> 00:15:51,290 +is x minus the mean divided by sigma. The mean, + +202 +00:15:51,430 --> 00:15:56,630 +this one, it means the mean of x. And sigma is + +203 +00:15:56,630 --> 00:16:01,920 +also x. Now suppose instead of saying what's the + +204 +00:16:01,920 --> 00:16:05,620 +probability that a selected student scores more + +205 +00:16:05,620 --> 00:16:10,200 +than 70 or above 70, suppose we select a random + +206 +00:16:10,200 --> 00:16:15,220 +sample of 20 or whatever it is, 20 students from + +207 +00:16:15,220 --> 00:16:19,940 +this class, and I'm interested in the probability + +208 +00:16:19,940 --> 00:16:26,480 +that the average score of these 20 students is + +209 +00:16:26,480 --> 00:16:30,730 +above 70. Now look at the difference between two + +210 +00:16:30,730 --> 00:16:35,550 +portions. First one, we select a student randomly, + +211 +00:16:36,170 --> 00:16:38,690 +and we are asking about what's the probability + +212 +00:16:38,690 --> 00:16:46,030 +that this selected student can score above 70. The + +213 +00:16:46,030 --> 00:16:51,050 +other one, we + +214 +00:16:51,050 --> 00:16:54,760 +select a random sample of size 20. And we are + +215 +00:16:54,760 --> 00:16:57,940 +interested on the probability that the average of + +216 +00:16:57,940 --> 00:17:02,000 +these scores is above 70. + +217 +00:17:04,900 --> 00:17:09,080 +And again, suppose X is normally distributed with + +218 +00:17:09,080 --> 00:17:13,360 +mean 80, sigma is 10. It makes sense that we have + +219 +00:17:13,360 --> 00:17:16,180 +to transform again from normal distribution, + +220 +00:17:17,280 --> 00:17:19,880 +standardized normal distribution, by using exactly + +221 +00:17:19,880 --> 00:17:26,590 +the same technique.The same z-score but with + +222 +00:17:26,590 --> 00:17:30,370 +different statistics. Here we use x, just x, the + +223 +00:17:30,370 --> 00:17:33,890 +score of the student. Now we have to use something + +224 +00:17:33,890 --> 00:17:38,470 +other called x bar. I'm interested in the average + +225 +00:17:38,470 --> 00:17:46,770 +of this. So x bar minus the mean of not x, x bar, + +226 +00:17:47,550 --> 00:17:52,550 +then divided by sigma x bar. So this is my new, + +227 +00:17:53,270 --> 00:17:54,770 +the score. + +228 +00:17:57,820 --> 00:18:00,680 +Here, there are three questions. Number one, + +229 +00:18:03,680 --> 00:18:11,000 +what's the shape of the distribution of X bar? So, + +230 +00:18:11,040 --> 00:18:13,340 +we are asking about the shape of the distribution. + +231 +00:18:14,560 --> 00:18:19,290 +It might be normal. If the entire population that + +232 +00:18:19,290 --> 00:18:22,390 +we select a sample from is normal, I mean if the + +233 +00:18:22,390 --> 00:18:24,450 +population is normally distributed, then you + +234 +00:18:24,450 --> 00:18:27,110 +select a random sample of that population, it + +235 +00:18:27,110 --> 00:18:30,590 +makes sense that the sample is also normal, so any + +236 +00:18:30,590 --> 00:18:33,030 +statistic is computed from that sample is also + +237 +00:18:33,030 --> 00:18:35,810 +normally distributed, so it makes sense. If the + +238 +00:18:35,810 --> 00:18:38,450 +population is normal, then the shape is also + +239 +00:18:38,450 --> 00:18:43,650 +normal. But if the population is unknown, you + +240 +00:18:43,650 --> 00:18:46,550 +don't have any information about the underlying + +241 +00:18:46,550 --> 00:18:50,530 +population, then you cannot say it's normal unless + +242 +00:18:50,530 --> 00:18:53,790 +you have certain condition that we'll talk about + +243 +00:18:53,790 --> 00:18:57,510 +maybe after 30 minutes. So, exactly, if the + +244 +00:18:57,510 --> 00:18:59,610 +population is normal, then the shape is also + +245 +00:18:59,610 --> 00:19:01,910 +normal, but otherwise, we have to think about it. + +246 +00:19:02,710 --> 00:19:06,890 +This is the first question. Now, there are two + +247 +00:19:06,890 --> 00:19:11,910 +unknowns in this equation. We have to know the + +248 +00:19:11,910 --> 00:19:17,980 +mean, Or x bar, so the mean of x bar is not given, + +249 +00:19:18,520 --> 00:19:23,200 +the mean means the center. So the second question, + +250 +00:19:23,440 --> 00:19:26,920 +what's the center of the distribution? In this + +251 +00:19:26,920 --> 00:19:29,980 +case, the mean of x bar. So we are looking at + +252 +00:19:29,980 --> 00:19:32,920 +what's the mean of x bar. The third question is + +253 +00:19:32,920 --> 00:19:39,350 +sigma x bar is also unknown, spread. Now shape, + +254 +00:19:39,850 --> 00:19:44,590 +center, spread, these are characteristics, these + +255 +00:19:44,590 --> 00:19:47,770 +characteristics in this case sampling + +256 +00:19:47,770 --> 00:19:50,490 +distribution, exactly which is called sampling + +257 +00:19:50,490 --> 00:19:56,130 +distribution. So by sampling distribution we mean + +258 +00:19:56,130 --> 00:20:00,110 +that, by sampling distribution, we mean that you + +259 +00:20:00,110 --> 00:20:05,840 +have to know the center of distribution, I mean + +260 +00:20:05,840 --> 00:20:08,760 +the mean of the statistic you are interested in. + +261 +00:20:09,540 --> 00:20:14,620 +Second, the spread or the variability of the + +262 +00:20:14,620 --> 00:20:17,600 +sample statistic also you are interested in. In + +263 +00:20:17,600 --> 00:20:21,240 +addition to that, you have to know the shape of + +264 +00:20:21,240 --> 00:20:25,080 +the statistic. So three things we have to know, + +265 +00:20:25,820 --> 00:20:31,980 +center, spread and shape. So that's what we'll + +266 +00:20:31,980 --> 00:20:37,340 +talk about now. So now sampling distribution is a + +267 +00:20:37,340 --> 00:20:41,640 +distribution of all of the possible values of a + +268 +00:20:41,640 --> 00:20:46,040 +sample statistic. This sample statistic could be + +269 +00:20:46,040 --> 00:20:50,240 +sample mean, could be sample variance, could be + +270 +00:20:50,240 --> 00:20:53,500 +sample proportion, because any population has + +271 +00:20:53,500 --> 00:20:57,080 +mainly three characteristics, mean, standard + +272 +00:20:57,080 --> 00:20:59,040 +deviation, and proportion. + +273 +00:21:01,520 --> 00:21:04,260 +So again, a sampling distribution is a + +274 +00:21:04,260 --> 00:21:07,400 +distribution of all of the possible values of a + +275 +00:21:07,400 --> 00:21:11,960 +sample statistic or a given size sample selected + +276 +00:21:11,960 --> 00:21:20,020 +from a population. For example, suppose you sample + +277 +00:21:20,020 --> 00:21:23,420 +50 students from your college regarding their mean + +278 +00:21:23,420 --> 00:21:30,640 +GPA. GPA means Graduate Point Average. Now, if you + +279 +00:21:30,640 --> 00:21:35,280 +obtain many different samples of size 50, you will + +280 +00:21:35,280 --> 00:21:38,760 +compute a different mean for each sample. As I + +281 +00:21:38,760 --> 00:21:42,680 +mentioned here, I select a sample the same sizes, + +282 +00:21:43,540 --> 00:21:47,580 +but we obtain different sample statistics, I mean + +283 +00:21:47,580 --> 00:21:54,260 +different sample means. We are interested in the + +284 +00:21:54,260 --> 00:21:59,760 +distribution of all potential mean GBA We might + +285 +00:21:59,760 --> 00:22:04,040 +calculate for any given sample of 50 students. So + +286 +00:22:04,040 --> 00:22:09,440 +let's focus into these values. So we have again a + +287 +00:22:09,440 --> 00:22:14,580 +random sample of 50 sample means. So we have 1, 2, + +288 +00:22:14,700 --> 00:22:18,480 +3, 4, 5, maybe 50, 6, whatever we have. So select + +289 +00:22:18,480 --> 00:22:22,660 +a random sample of size 20. Maybe we repeat this + +290 +00:22:22,660 --> 00:22:28,590 +sample 10 times. So we end with 10. different + +291 +00:22:28,590 --> 00:22:31,650 +values of the simple means. Now we have new ten + +292 +00:22:31,650 --> 00:22:38,130 +means. Now the question is, what's the center of + +293 +00:22:38,130 --> 00:22:42,590 +these values, I mean for the means? What's the + +294 +00:22:42,590 --> 00:22:46,250 +spread of the means? And what's the shape of the + +295 +00:22:46,250 --> 00:22:50,310 +means? So these are the mainly three questions. + +296 +00:22:53,510 --> 00:22:56,810 +For example, let's get just simple example and + +297 +00:22:56,810 --> 00:23:04,370 +that we have only population of size 4. In the + +298 +00:23:04,370 --> 00:23:09,950 +real life, the population size is much bigger than + +299 +00:23:09,950 --> 00:23:14,970 +4, but just for illustration. + +300 +00:23:17,290 --> 00:23:20,190 +Because size 4, I mean if the population is 4, + +301 +00:23:21,490 --> 00:23:24,950 +it's a small population. So we can take all the + +302 +00:23:24,950 --> 00:23:27,610 +values and find the mean and standard deviation. + +303 +00:23:28,290 --> 00:23:31,430 +But in reality, we have more than that. So this + +304 +00:23:31,430 --> 00:23:37,390 +one just for as example. So let's suppose that we + +305 +00:23:37,390 --> 00:23:42,790 +have a population of size 4. So n equals 4. + +306 +00:23:46,530 --> 00:23:54,030 +And we are interested in the ages. And suppose the + +307 +00:23:54,030 --> 00:23:58,930 +values of X, X again represents H, + +308 +00:24:00,690 --> 00:24:01,810 +and the values we have. + +309 +00:24:06,090 --> 00:24:08,930 +So these are the four values we have. + +310 +00:24:12,050 --> 00:24:16,910 +Now simple calculation will + +311 +00:24:16,910 --> 00:24:19,910 +give you the mean, the population mean. + +312 +00:24:25,930 --> 00:24:30,410 +Just add these values and divide by the operation + +313 +00:24:30,410 --> 00:24:35,410 +size, we'll get 21 years. And sigma, as we + +314 +00:24:35,410 --> 00:24:39,450 +mentioned in chapter three, square root of this + +315 +00:24:39,450 --> 00:24:44,550 +quantity will give 2.236 + +316 +00:24:44,550 --> 00:24:49,450 +years. So simple calculation will give these + +317 +00:24:49,450 --> 00:24:54,470 +results. Now if you look at distribution of these + +318 +00:24:54,470 --> 00:24:58,430 +values, Because as I mentioned, we are looking for + +319 +00:24:58,430 --> 00:25:03,810 +center, spread, and shape. The center is 21 of the + +320 +00:25:03,810 --> 00:25:09,430 +exact population. The variation is around 2.2. + +321 +00:25:10,050 --> 00:25:14,770 +Now, the shape of distribution. Now, 18 represents + +322 +00:25:14,770 --> 00:25:15,250 +once. + +323 +00:25:17,930 --> 00:25:22,350 +I mean, we have only one 18, so 18 divided one + +324 +00:25:22,350 --> 00:25:29,830 +time over 425. 20% represent also 25%, the same as + +325 +00:25:29,830 --> 00:25:33,030 +for 22 or 24. In this case, we have something + +326 +00:25:33,030 --> 00:25:37,530 +called uniform distribution. In this case, the + +327 +00:25:37,530 --> 00:25:43,330 +proportions are the same. So, the mean, not + +328 +00:25:43,330 --> 00:25:48,030 +normal, it's uniform distribution. The mean is 21, + +329 +00:25:48,690 --> 00:25:52,490 +standard deviation is 2.236, and the distribution + +330 +00:25:52,490 --> 00:25:58,840 +is uniform. Okay, so that's center, spread and + +331 +00:25:58,840 --> 00:26:02,920 +shape of the true population we have. Now suppose + +332 +00:26:02,920 --> 00:26:03,520 +for example, + +333 +00:26:06,600 --> 00:26:12,100 +we select a random sample of size 2 from this + +334 +00:26:12,100 --> 00:26:12,620 +population. + +335 +00:26:15,740 --> 00:26:21,500 +So we select a sample of size 2. We have 18, 20, + +336 +00:26:21,600 --> 00:26:25,860 +22, 24 years. We have four students, for example. + +337 +00:26:27,760 --> 00:26:31,140 +And we select a sample of size two. So the first + +338 +00:26:31,140 --> 00:26:40,820 +one could be 18 and 18, 18 and 20, 18 and 22. So + +339 +00:26:40,820 --> 00:26:47,400 +we have 16 different samples. So number of samples + +340 +00:26:47,400 --> 00:26:54,500 +in this case is 16. Imagine that we have five. I + +341 +00:26:54,500 --> 00:27:00,220 +mean the population size is 5 and so on. So the + +342 +00:27:00,220 --> 00:27:06,000 +rule is number + +343 +00:27:06,000 --> 00:27:13,020 +of samples in this case and the volume is million. + +344 +00:27:14,700 --> 00:27:19,140 +Because we have four, four squared is sixteen, + +345 +00:27:19,440 --> 00:27:26,940 +that's all. 5 squared, 25, and so on. Now, we have + +346 +00:27:26,940 --> 00:27:31,740 +16 different samples. For sure, we will have + +347 +00:27:31,740 --> 00:27:37,940 +different sample means. Now, for the first sample, + +348 +00:27:39,560 --> 00:27:47,200 +18, 18, the average is also 18. The next one, 18, + +349 +00:27:47,280 --> 00:27:50,040 +20, the average is 19. + +350 +00:27:54,790 --> 00:27:59,770 +20, 18, 24, the average is 21, and so on. So now + +351 +00:27:59,770 --> 00:28:05,450 +we have 16 sample means. Now this is my new + +352 +00:28:05,450 --> 00:28:10,510 +values. It's my sample. This sample has different + +353 +00:28:10,510 --> 00:28:16,050 +sample means. Now let's take these values and + +354 +00:28:16,050 --> 00:28:23,270 +compute average, sigma, and the shape of the + +355 +00:28:23,270 --> 00:28:29,200 +distribution. So again, we have a population of + +356 +00:28:29,200 --> 00:28:35,240 +size 4, we select a random cell bone. of size 2 + +357 +00:28:35,240 --> 00:28:39,060 +from that population, we end with 16 random + +358 +00:28:39,060 --> 00:28:43,620 +samples, and they have different sample means. + +359 +00:28:43,860 --> 00:28:46,700 +Might be two of them are the same. I mean, we have + +360 +00:28:46,700 --> 00:28:52,220 +18 just repeated once, but 19 repeated twice, 23 + +361 +00:28:52,220 --> 00:28:59,220 +times, 24 times, and so on. 22 three times, 23 + +362 +00:28:59,220 --> 00:29:04,270 +twice, 24 once. So it depends on The sample means + +363 +00:29:04,270 --> 00:29:07,210 +you have. So we have actually different samples. + +364 +00:29:14,790 --> 00:29:18,970 +For example, let's look at 24 and 22. What's the + +365 +00:29:18,970 --> 00:29:22,790 +average of these two values? N divided by 2 will + +366 +00:29:22,790 --> 00:29:24,290 +give 22. + +367 +00:29:33,390 --> 00:29:35,730 +So again, we have 16 sample means. + +368 +00:29:38,610 --> 00:29:41,550 +Now look first at the shape of the distribution. + +369 +00:29:43,110 --> 00:29:47,490 +18, as I mentioned, repeated once. So 1 over 16. + +370 +00:29:48,430 --> 00:29:57,950 +19 twice. 23 times. 1 four times. 22 three times. + +371 +00:29:58,940 --> 00:30:03,340 +then twice then once now the distribution was + +372 +00:30:03,340 --> 00:30:07,960 +uniform remember now it becomes normal + +373 +00:30:07,960 --> 00:30:10,780 +distribution so the first one x1 is normal + +374 +00:30:10,780 --> 00:30:16,340 +distribution so it has normal distribution so + +375 +00:30:16,340 --> 00:30:20,040 +again the shape of x1 looks like normal + +376 +00:30:20,040 --> 00:30:26,800 +distribution we need to compute the center of X + +377 +00:30:26,800 --> 00:30:32,800 +bar, the mean of X bar. We have to add the values + +378 +00:30:32,800 --> 00:30:36,380 +of X bar, the sample mean, then divide by the + +379 +00:30:36,380 --> 00:30:42,800 +total number of size, which is 16. So in this + +380 +00:30:42,800 --> 00:30:51,720 +case, we got 21, which is similar to the one for + +381 +00:30:51,720 --> 00:30:55,950 +the entire population. So this is the first + +382 +00:30:55,950 --> 00:30:59,930 +unknown parameter. The mu of x bar is the same as + +383 +00:30:59,930 --> 00:31:05,490 +the population mean mu. The second one, the split + +384 +00:31:05,490 --> 00:31:13,450 +sigma of x bar by using the same equation + +385 +00:31:13,450 --> 00:31:17,170 +we have, sum of x bar in this case minus the mean + +386 +00:31:17,170 --> 00:31:21,430 +of x bar squared, then divide this quantity by the + +387 +00:31:21,430 --> 00:31:26,270 +capital I which is 16 in this case. So we will end + +388 +00:31:26,270 --> 00:31:28,510 +with 1.58. + +389 +00:31:31,270 --> 00:31:36,170 +Now let's compare population standard deviation + +390 +00:31:36,170 --> 00:31:42,210 +and the sample standard deviation. First of all, + +391 +00:31:42,250 --> 00:31:45,050 +you see that these two values are not the same. + +392 +00:31:47,530 --> 00:31:50,370 +The population standard deviation was 2.2, around + +393 +00:31:50,370 --> 00:31:57,310 +2.2. But for the sample, for the sample mean, it's + +394 +00:31:57,310 --> 00:32:02,690 +1.58, so that means sigma of X bar is smaller than + +395 +00:32:02,690 --> 00:32:03,710 +sigma of X. + +396 +00:32:07,270 --> 00:32:12,010 +It means exactly, the variation of X bar is always + +397 +00:32:12,010 --> 00:32:15,770 +smaller than the variation of X, always. + +398 +00:32:20,420 --> 00:32:26,480 +So here is the comparison. The distribution was + +399 +00:32:26,480 --> 00:32:32,000 +uniform. It's no longer uniform. It looks like a + +400 +00:32:32,000 --> 00:32:36,440 +bell shape. The mean of X is 21, which is the same + +401 +00:32:36,440 --> 00:32:40,440 +as the mean of X bar. But the standard deviation + +402 +00:32:40,440 --> 00:32:44,200 +of the population is larger than the standard + +403 +00:32:44,200 --> 00:32:48,060 +deviation of the sample mean or the average. + +404 +00:32:53,830 --> 00:32:58,090 +Different samples of the same sample size from the + +405 +00:32:58,090 --> 00:33:00,790 +same population will yield different sample means. + +406 +00:33:01,450 --> 00:33:06,050 +We know that. If we have a population and from + +407 +00:33:06,050 --> 00:33:08,570 +that population, so we have this big population, + +408 +00:33:10,250 --> 00:33:15,010 +from this population suppose we selected 10 + +409 +00:33:15,010 --> 00:33:19,850 +samples, sample 1 with size 50. + +410 +00:33:21,540 --> 00:33:26,400 +Another sample, sample 2 with the same size. All + +411 +00:33:26,400 --> 00:33:29,980 +the way, suppose we select 10 samples, sample 10, + +412 +00:33:30,860 --> 00:33:38,460 +also with the same sample size. Each one will have + +413 +00:33:38,460 --> 00:33:42,960 +different average, different sample. Maybe the + +414 +00:33:42,960 --> 00:33:48,520 +first one has 70, 68, suppose the last one has 71. + +415 +00:33:49,880 --> 00:33:56,040 +So again, different samples of the same size, I + +416 +00:33:56,040 --> 00:34:00,460 +got size of 15, from the same population will + +417 +00:34:00,460 --> 00:34:04,940 +yield different sample means. This is one fact. + +418 +00:34:05,900 --> 00:34:10,440 +Now, a measure of the variability, which means + +419 +00:34:10,440 --> 00:34:17,060 +sigma. and I'm interested in x bar. So a measure + +420 +00:34:17,060 --> 00:34:20,400 +of variability in the mean from sample to sample + +421 +00:34:20,400 --> 00:34:23,580 +is given by something called, instead of saying + +422 +00:34:23,580 --> 00:34:27,100 +standard deviation of the sample mean, we have + +423 +00:34:27,100 --> 00:34:31,780 +this expression, standard error of the mean. So + +424 +00:34:31,780 --> 00:34:37,920 +this one is called standard error of the mean, or + +425 +00:34:37,920 --> 00:34:41,880 +sigma of x bar. So again, it's called standard + +426 +00:34:43,590 --> 00:34:46,590 +error of the mean or simply just say standard + +427 +00:34:46,590 --> 00:34:50,850 +error. So it's better to distinguish between + +428 +00:34:50,850 --> 00:34:57,510 +population standard deviation sigma and sigma of x + +429 +00:34:57,510 --> 00:35:01,530 +bar which is the standard error of the mean. So we + +430 +00:35:01,530 --> 00:35:06,900 +have sigma And sigma of x bar. This one is + +431 +00:35:06,900 --> 00:35:12,380 +standard error of x bar. And always sigma of x bar + +432 +00:35:12,380 --> 00:35:17,300 +is smaller than sigma, unless n equals one. Later + +433 +00:35:17,300 --> 00:35:21,640 +we'll see why if n is one, then the two quantities + +434 +00:35:21,640 --> 00:35:29,600 +are the same. Now, sigma of x bar + +435 +00:35:32,340 --> 00:35:37,820 +In this case, it's 158 equals sigma over root n. I + +436 +00:35:37,820 --> 00:35:42,480 +mean, for this specific example, if we divide + +437 +00:35:42,480 --> 00:35:50,620 +sigma, which is 2.236 divided by n, and n 2, you + +438 +00:35:50,620 --> 00:35:53,440 +will get 1.58. + +439 +00:35:57,620 --> 00:36:03,640 +So we got mu x bar equal mu. The spread is sigma + +440 +00:36:03,640 --> 00:36:07,060 +over root. Now, if you compare sigma x bar and + +441 +00:36:07,060 --> 00:36:10,680 +sigma, always sigma of x bar is smaller than + +442 +00:36:10,680 --> 00:36:14,460 +sigma, unless m equals 1. And in reality, we don't + +443 +00:36:14,460 --> 00:36:17,860 +have a sample of size 1. So always the sample size + +444 +00:36:17,860 --> 00:36:23,500 +is greater than 1. So always sigma of x bar is + +445 +00:36:23,500 --> 00:36:28,660 +smaller than sigma of the standard deviation of + +446 +00:36:28,660 --> 00:36:33,180 +normalization. Now if you look at the relationship + +447 +00:36:33,180 --> 00:36:36,380 +between the standard error of X bar and the sample + +448 +00:36:36,380 --> 00:36:41,760 +size, we'll see that as the sample size increases, + +449 +00:36:42,500 --> 00:36:46,440 +sigma of X bar decreases. So if we have large + +450 +00:36:46,440 --> 00:36:51,200 +sample size, I mean instead of selecting a random + +451 +00:36:51,200 --> 00:36:53,520 +sample of size 2, if you select a random sample of + +452 +00:36:53,520 --> 00:36:56,900 +size 3 for example, you will get sigma of X bar + +453 +00:36:56,900 --> 00:37:03,140 +less than 1.58. So note that standard error of the + +454 +00:37:03,140 --> 00:37:09,260 +mean decreases as the sample size goes up. So as n + +455 +00:37:09,260 --> 00:37:13,000 +increases, sigma of x bar goes down. So there is + +456 +00:37:13,000 --> 00:37:17,440 +inverse relationship between the standard error of + +457 +00:37:17,440 --> 00:37:21,900 +the mean and the sample size. So now we answered + +458 +00:37:21,900 --> 00:37:24,660 +the three questions. The shape looks like bell + +459 +00:37:24,660 --> 00:37:31,290 +shape. if we select our sample from normal + +460 +00:37:31,290 --> 00:37:37,850 +population with mean equals the population mean + +461 +00:37:37,850 --> 00:37:40,530 +and standard deviation of standard error equals + +462 +00:37:40,530 --> 00:37:48,170 +sigma over square root of that. So now, let's talk + +463 +00:37:48,170 --> 00:37:53,730 +about sampling distribution of the sample mean if + +464 +00:37:53,730 --> 00:37:59,170 +the population is normal. So now, my population is + +465 +00:37:59,170 --> 00:38:03,830 +normally distributed, and we are interested in the + +466 +00:38:03,830 --> 00:38:06,430 +sampling distribution of the sample mean of X bar. + +467 +00:38:07,630 --> 00:38:11,330 +If the population is normally distributed with + +468 +00:38:11,330 --> 00:38:14,870 +mean mu and standard deviation sigma, in this + +469 +00:38:14,870 --> 00:38:18,590 +case, the sampling distribution of X bar is also + +470 +00:38:18,590 --> 00:38:22,870 +normally distributed, so this is the shape. with + +471 +00:38:22,870 --> 00:38:27,070 +mean of X bar equals mu and sigma of X bar equals + +472 +00:38:27,070 --> 00:38:35,470 +sigma over 2. So again, if we sample from normal + +473 +00:38:35,470 --> 00:38:39,650 +population, I mean my sampling technique, I select + +474 +00:38:39,650 --> 00:38:44,420 +a random sample from a normal population. Then if + +475 +00:38:44,420 --> 00:38:47,640 +we are interested in the standard distribution of + +476 +00:38:47,640 --> 00:38:51,960 +X bar, then that distribution is normally + +477 +00:38:51,960 --> 00:38:56,000 +distributed with mean equal to mu and standard + +478 +00:38:56,000 --> 00:39:02,540 +deviation sigma over mu. So that's the shape. It's + +479 +00:39:02,540 --> 00:39:05,670 +normal. The mean is the same as the population + +480 +00:39:05,670 --> 00:39:09,030 +mean, and the standard deviation of x bar equals + +481 +00:39:09,030 --> 00:39:16,130 +sigma over root n. So now let's go back to the z + +482 +00:39:16,130 --> 00:39:21,130 +-score we discussed before. If you remember, I + +483 +00:39:21,130 --> 00:39:25,150 +mentioned before + +484 +00:39:25,150 --> 00:39:32,720 +that z-score, generally speaking, X minus the mean + +485 +00:39:32,720 --> 00:39:34,740 +of X divided by sigma X. + +486 +00:39:37,640 --> 00:39:41,620 +And we know that Z has standard normal + +487 +00:39:41,620 --> 00:39:48,020 +distribution with mean zero and variance one. In + +488 +00:39:48,020 --> 00:39:52,860 +this case, we are looking for the semi + +489 +00:39:52,860 --> 00:39:59,350 +-distribution of X bar. So Z equal X bar. minus + +490 +00:39:59,350 --> 00:40:06,050 +the mean of x bar divided by sigma of x bar. So + +491 +00:40:06,050 --> 00:40:10,770 +the same equation, but different statistic. In the + +492 +00:40:10,770 --> 00:40:15,770 +first one, we have x, for example, represents the + +493 +00:40:15,770 --> 00:40:20,370 +score. Here, my sample statistic is the sample + +494 +00:40:20,370 --> 00:40:22,890 +mean, which represents the average of the score. + +495 +00:40:23,470 --> 00:40:29,460 +So x bar, minus its mean, I mean the mean of x + +496 +00:40:29,460 --> 00:40:37,280 +bar, divided by its standard error. So x bar minus + +497 +00:40:37,280 --> 00:40:41,000 +the mean of x bar divided by sigma of x bar. By + +498 +00:40:41,000 --> 00:40:48,020 +using that mu of x bar equals mu, and sigma of x + +499 +00:40:48,020 --> 00:40:51,240 +bar equals sigma over root n, we will end with + +500 +00:40:51,240 --> 00:40:52,600 +this mu z square. + +501 +00:40:56,310 --> 00:41:00,790 +So this equation will be used instead of using the + +502 +00:41:00,790 --> 00:41:04,650 +previous one. So z square equals sigma, I'm sorry, + +503 +00:41:04,770 --> 00:41:08,470 +z equals x bar minus the mean divided by sigma + +504 +00:41:08,470 --> 00:41:13,310 +bar, where x bar the sample mean, mu the + +505 +00:41:13,310 --> 00:41:15,990 +population mean, sigma population standard + +506 +00:41:15,990 --> 00:41:19,810 +deviation, and n is the sample size. So that's the + +507 +00:41:19,810 --> 00:41:22,490 +difference between chapter six, + +508 +00:41:25,110 --> 00:41:32,750 +And that one we have only x minus y by sigma. Here + +509 +00:41:32,750 --> 00:41:36,450 +we are interested in x bar minus the mean of x bar + +510 +00:41:36,450 --> 00:41:40,290 +which is mu. And sigma of x bar equals sigma of r. + +511 +00:41:47,970 --> 00:41:52,010 +Now when we are saying that mu of x bar equals mu, + +512 +00:41:54,530 --> 00:42:01,690 +That means the expected value of + +513 +00:42:01,690 --> 00:42:05,590 +the sample mean equals the population mean. When + +514 +00:42:05,590 --> 00:42:08,610 +we are saying mean of X bar equals mu, it means + +515 +00:42:08,610 --> 00:42:13,270 +the expected value of X bar equals mu. In other + +516 +00:42:13,270 --> 00:42:20,670 +words, the expected of X bar equals mu. If this + +517 +00:42:20,670 --> 00:42:27,900 +happens, we say that X bar is an unbiased + +518 +00:42:27,900 --> 00:42:31,420 +estimator + +519 +00:42:31,420 --> 00:42:35,580 +of + +520 +00:42:35,580 --> 00:42:40,620 +mu. So this is a new definition, unbiased + +521 +00:42:40,620 --> 00:42:45,490 +estimator X bar is called unbiased estimator if + +522 +00:42:45,490 --> 00:42:49,410 +this condition is satisfied. I mean, if the mean + +523 +00:42:49,410 --> 00:42:54,450 +of X bar or if the expected value of X bar equals + +524 +00:42:54,450 --> 00:42:57,790 +the population mean, in this case, we say that X + +525 +00:42:57,790 --> 00:43:02,450 +bar is good estimator of Mu. Because on average, + +526 +00:43:05,430 --> 00:43:08,230 +Expected value of X bar equals the population + +527 +00:43:08,230 --> 00:43:14,970 +mean, so in this case X bar is L by estimator of + +528 +00:43:14,970 --> 00:43:20,410 +Mu. Now if you compare the two distributions, + +529 +00:43:22,030 --> 00:43:27,510 +normal distribution here with population mean Mu + +530 +00:43:27,510 --> 00:43:30,550 +and standard deviation for example sigma. + +531 +00:43:33,190 --> 00:43:40,590 +That's for the scores, the scores. Now instead of + +532 +00:43:40,590 --> 00:43:43,690 +the scores above, we have x bar, the sample mean. + +533 +00:43:44,670 --> 00:43:48,590 +Again, the mean of x bar is the same as the + +534 +00:43:48,590 --> 00:43:52,990 +population mean. Both means are the same, mu of x + +535 +00:43:52,990 --> 00:43:57,130 +bar equals mu. But if you look at the spread of + +536 +00:43:57,130 --> 00:44:00,190 +the second distribution, this is more than the + +537 +00:44:00,190 --> 00:44:03,350 +other one. So that's the comparison between the + +538 +00:44:03,350 --> 00:44:05,530 +two populations. + +539 +00:44:07,050 --> 00:44:13,390 +So again, to compare or to figure out the + +540 +00:44:13,390 --> 00:44:17,910 +relationship between sigma of x bar and the sample + +541 +00:44:17,910 --> 00:44:22,110 +size. Suppose we have this blue normal + +542 +00:44:22,110 --> 00:44:28,590 +distribution with sample size say 10 or 30, for + +543 +00:44:28,590 --> 00:44:28,870 +example. + +544 +00:44:32,220 --> 00:44:37,880 +As n gets bigger and bigger, sigma of x bar + +545 +00:44:37,880 --> 00:44:41,800 +becomes smaller and smaller. If you look at the + +546 +00:44:41,800 --> 00:44:44,760 +red one, maybe if the red one has n equal 100, + +547 +00:44:45,700 --> 00:44:48,780 +we'll get this spread. But for the other one, we + +548 +00:44:48,780 --> 00:44:55,240 +have larger spread. So as n increases, sigma of x + +549 +00:44:55,240 --> 00:44:59,860 +bar decreases. So this, the blue one for smaller + +550 +00:44:59,860 --> 00:45:06,240 +sample size. The red one for larger sample size. + +551 +00:45:06,840 --> 00:45:11,120 +So again, as n increases, sigma of x bar goes down + +552 +00:45:11,120 --> 00:45:12,040 +four degrees. + +553 +00:45:21,720 --> 00:45:29,480 +Next, let's use this fact to + +554 +00:45:29,480 --> 00:45:37,440 +figure out an interval for the sample mean with 90 + +555 +00:45:37,440 --> 00:45:42,140 +% confidence and suppose the population we have is + +556 +00:45:42,140 --> 00:45:49,500 +normal with mean 368 and sigma of 15 and suppose + +557 +00:45:49,500 --> 00:45:52,900 +we select a random sample of a 25 and the question + +558 +00:45:52,900 --> 00:45:57,600 +is find symmetrically distributed interval around + +559 +00:45:57,600 --> 00:46:03,190 +the mean That will include 95% of the sample means + +560 +00:46:03,190 --> 00:46:08,610 +when mu equals 368, sigma is 15, and your sample + +561 +00:46:08,610 --> 00:46:13,830 +size is 25. So in this case, we are looking for + +562 +00:46:13,830 --> 00:46:17,150 +the + +563 +00:46:17,150 --> 00:46:19,110 +estimation of the sample mean. + +564 +00:46:23,130 --> 00:46:24,970 +And we have this information, + +565 +00:46:28,910 --> 00:46:31,750 +Sigma is 15 and N is 25. + +566 +00:46:35,650 --> 00:46:38,890 +The problem mentioned there, we have symmetric + +567 +00:46:38,890 --> 00:46:48,490 +distribution and this area is 95% bisymmetric and + +568 +00:46:48,490 --> 00:46:52,890 +we have only 5% out. So that means half to the + +569 +00:46:52,890 --> 00:46:56,490 +right and half to the left. + +570 +00:46:59,740 --> 00:47:02,640 +And let's see how can we compute these two values. + +571 +00:47:03,820 --> 00:47:11,440 +The problem says that the average T68 + +572 +00:47:11,440 --> 00:47:18,660 +for this data and the standard deviation sigma of + +573 +00:47:18,660 --> 00:47:28,510 +15. He asked about what are the values of x bar. I + +574 +00:47:28,510 --> 00:47:32,430 +mean, we have to find the interval of x bar. Let's + +575 +00:47:32,430 --> 00:47:36,130 +see. If you remember last time, z score was x + +576 +00:47:36,130 --> 00:47:41,130 +minus mu divided by sigma. But now we have x bar. + +577 +00:47:41,890 --> 00:47:45,850 +So your z score should be minus mu divided by + +578 +00:47:45,850 --> 00:47:50,850 +sigma over root n. Now cross multiplication, you + +579 +00:47:50,850 --> 00:47:55,970 +will get x bar minus mu equals z sigma over root + +580 +00:47:55,970 --> 00:48:01,500 +n. That means x bar equals mu plus z sigma over + +581 +00:48:01,500 --> 00:48:04,440 +root n. Exactly the same equation we got in + +582 +00:48:04,440 --> 00:48:09,840 +chapter six, but there, in that one we have x + +583 +00:48:09,840 --> 00:48:13,700 +equals mu plus z sigma. Now we have x bar equals + +584 +00:48:13,700 --> 00:48:18,200 +mu plus z sigma over root n, because we have + +585 +00:48:18,200 --> 00:48:23,000 +different statistics. It's x bar instead of x. Now + +586 +00:48:23,000 --> 00:48:28,510 +we are looking for these two values. Now let's + +587 +00:48:28,510 --> 00:48:29,410 +compute z-score. + +588 +00:48:32,450 --> 00:48:36,830 +The z-score for this point, which has area of 2.5% + +589 +00:48:36,830 --> 00:48:41,930 +below it, is the same as the z-score, but in the + +590 +00:48:41,930 --> 00:48:48,670 +opposite direction. If you remember, we got this + +591 +00:48:48,670 --> 00:48:49,630 +value, 1.96. + +592 +00:48:52,790 --> 00:48:58,080 +So my z-score is negative 1.96 to the left. and 1 + +593 +00:48:58,080 --> 00:49:08,480 +.9621 so now my x bar in the lower limit in this + +594 +00:49:08,480 --> 00:49:17,980 +side in the left side equals mu which is 368 minus + +595 +00:49:17,980 --> 00:49:29,720 +1.96 times sigma which is 15 Divide by root, 25. + +596 +00:49:30,340 --> 00:49:34,980 +So that's the value of the sample mean in the + +597 +00:49:34,980 --> 00:49:39,740 +lower limit, or lower bound. On the other hand, + +598 +00:49:42,320 --> 00:49:49,720 +expand our limit to our hand equals 316 plus 1.96 + +599 +00:49:49,720 --> 00:49:56,100 +sigma over root. Simple calculation will give this + +600 +00:49:56,100 --> 00:49:56,440 +result. + +601 +00:49:59,770 --> 00:50:06,870 +The first X bar for the lower limit is 362.12, the + +602 +00:50:06,870 --> 00:50:10,050 +other 373.1. + +603 +00:50:11,450 --> 00:50:17,170 +So again for this data, for this example, the mean + +604 +00:50:17,170 --> 00:50:23,030 +was, the population mean was 368, the population + +605 +00:50:23,030 --> 00:50:26,310 +has non-degradation of 15, we select a random + +606 +00:50:26,310 --> 00:50:31,070 +sample of size 25, Then we end with this result + +607 +00:50:31,070 --> 00:50:41,110 +that 95% of all sample means of sample size 25 are + +608 +00:50:41,110 --> 00:50:44,810 +between these two values. It means that we have + +609 +00:50:44,810 --> 00:50:49,530 +this big population and this population is + +610 +00:50:49,530 --> 00:50:55,240 +symmetric, is normal. And we know that The mean of + +611 +00:50:55,240 --> 00:51:00,680 +this population is 368 with sigma of 15. + +612 +00:51:02,280 --> 00:51:08,320 +We select from this population many samples. Each + +613 +00:51:08,320 --> 00:51:11,600 +one has size of 25. + +614 +00:51:15,880 --> 00:51:20,940 +Suppose, for example, we select 100 samples, 100 + +615 +00:51:20,940 --> 00:51:27,260 +random samples. So we end with different sample + +616 +00:51:27,260 --> 00:51:27,620 +means. + +617 +00:51:33,720 --> 00:51:39,820 +So we have 100 new sample means. In this case, you + +618 +00:51:39,820 --> 00:51:46,320 +can say that 95 out of these, 95 out of 100, it + +619 +00:51:46,320 --> 00:51:52,560 +means 95, one of these sample means. have values + +620 +00:51:52,560 --> 00:52:01,720 +between 362.12 and 373.5. And what's remaining? + +621 +00:52:03,000 --> 00:52:07,940 +Just five of these sample means would be out of + +622 +00:52:07,940 --> 00:52:13,220 +this interval either below 362 or above the upper + +623 +00:52:13,220 --> 00:52:17,720 +limit. So you are 95% sure that + +624 +00:52:21,230 --> 00:52:24,350 +The sample means lies between these two points. + +625 +00:52:25,410 --> 00:52:29,470 +So, 5% of the sample means will be out. Make + +626 +00:52:29,470 --> 00:52:37,510 +sense? Imagine that I have selected 200 samples. + +627 +00:52:40,270 --> 00:52:46,330 +Now, how many X bar will be between these two + +628 +00:52:46,330 --> 00:52:54,140 +values? 95% of these 200. So how many 95%? How + +629 +00:52:54,140 --> 00:52:56,060 +many means in this case? + +630 +00:52:58,900 --> 00:53:04,600 +95% out of 200 is 190. + +631 +00:53:05,480 --> 00:53:12,200 +190. Just multiply. 95 multiplies by 200. It will + +632 +00:53:12,200 --> 00:53:13,160 +give 190. + +633 +00:53:22,740 --> 00:53:29,860 +values between 362 + +634 +00:53:29,860 --> 00:53:38,680 +.12 and 373.8. Take any value, will have any value + +635 +00:53:38,680 --> 00:53:42,200 +between these two values. + +636 +00:53:48,000 --> 00:53:51,180 +In the previous one, we assumed that the + +637 +00:53:51,180 --> 00:53:55,480 +population is normal distribution. If we go back a + +638 +00:53:55,480 --> 00:54:01,060 +little bit here, we assumed the population is + +639 +00:54:01,060 --> 00:54:05,600 +normal. If the population is normal, then the + +640 +00:54:05,600 --> 00:54:07,840 +standard distribution of X bar is also normal + +641 +00:54:07,840 --> 00:54:10,840 +distribution with minimum standard deviation of + +642 +00:54:10,840 --> 00:54:16,300 +sigma over R. Now, the second case is Suppose we + +643 +00:54:16,300 --> 00:54:18,340 +are looking for the sampling distribution of the + +644 +00:54:18,340 --> 00:54:23,100 +sample mean if the population is not normal. You + +645 +00:54:23,100 --> 00:54:25,320 +don't have any information about your population, + +646 +00:54:26,160 --> 00:54:29,940 +and you are looking for the sampling distribution + +647 +00:54:29,940 --> 00:54:37,800 +of X bar. In this case, we can apply a + +648 +00:54:37,800 --> 00:54:42,040 +new theorem called central limit theorem. This + +649 +00:54:42,040 --> 00:54:47,120 +theorem says that Even if the population is not + +650 +00:54:47,120 --> 00:54:54,240 +normally distributed. In this case, the sampling + +651 +00:54:54,240 --> 00:54:59,400 +distribution of the sample means will be not + +652 +00:54:59,400 --> 00:55:03,480 +exactly normal, but approximately normally as long + +653 +00:55:03,480 --> 00:55:07,320 +as the sample size is large enough. I mean if you + +654 +00:55:07,320 --> 00:55:10,100 +select a random sample from unknown population and + +655 +00:55:10,100 --> 00:55:12,600 +that population is not symmetric, is not normal. + +656 +00:55:13,880 --> 00:55:17,560 +In this case, you can say that the sampling + +657 +00:55:17,560 --> 00:55:24,100 +distribution of X bar is approximately normal as + +658 +00:55:24,100 --> 00:55:27,940 +long as the sample size is large enough, with the + +659 +00:55:27,940 --> 00:55:31,280 +same population, with the same mean, population + +660 +00:55:31,280 --> 00:55:34,140 +mean is mu, and same standard deviation sigma over + +661 +00:55:34,140 --> 00:55:40,960 +root N. So now, there is a condition here. If the + +662 +00:55:40,960 --> 00:55:43,520 +population is not normal, I mean if you select a + +663 +00:55:43,520 --> 00:55:46,960 +random sample from unknown population, the + +664 +00:55:46,960 --> 00:55:51,480 +condition is N is large. If N is large enough, + +665 +00:55:52,160 --> 00:55:56,580 +then you can apply this theorem, central limit + +666 +00:55:56,580 --> 00:56:00,160 +theorem, which says that as the sample size goes + +667 +00:56:00,160 --> 00:56:03,640 +larger and larger, or gets larger and larger, then + +668 +00:56:03,640 --> 00:56:06,860 +the standard distribution of X bar is + +669 +00:56:06,860 --> 00:56:14,090 +approximately normal in this Again, look at the + +670 +00:56:14,090 --> 00:56:19,630 +blue curve. Now, this one looks like skewed + +671 +00:56:19,630 --> 00:56:20,850 +distribution to the right. + +672 +00:56:24,530 --> 00:56:28,730 +Now, as the sample gets large enough, then it + +673 +00:56:28,730 --> 00:56:33,470 +becomes normal. So, the sample distribution + +674 +00:56:33,470 --> 00:56:37,350 +becomes almost normal regardless of the shape of + +675 +00:56:37,350 --> 00:56:41,570 +the population. I mean if you sample from unknown + +676 +00:56:41,570 --> 00:56:46,590 +population, and that one has either right skewed + +677 +00:56:46,590 --> 00:56:52,130 +or left skewed, if the sample size is large, then + +678 +00:56:52,130 --> 00:56:55,810 +the sampling distribution of X bar becomes almost + +679 +00:56:55,810 --> 00:57:01,530 +normal distribution regardless of the… so that's + +680 +00:57:01,530 --> 00:57:06,830 +the central limit theorem. So again, if the + +681 +00:57:06,830 --> 00:57:10,980 +population is not normal, The condition is only + +682 +00:57:10,980 --> 00:57:15,360 +you have to select a large sample. In this case, + +683 +00:57:15,960 --> 00:57:19,340 +the central tendency mu of X bar is same as mu. + +684 +00:57:20,000 --> 00:57:24,640 +The variation is also sigma over root N. + +685 +00:57:28,740 --> 00:57:32,120 +So again, standard distribution of X bar becomes + +686 +00:57:32,120 --> 00:57:38,620 +normal as N. The theorem again says If we select a + +687 +00:57:38,620 --> 00:57:42,500 +random sample from unknown population, then the + +688 +00:57:42,500 --> 00:57:44,560 +standard distribution of X part is approximately + +689 +00:57:44,560 --> 00:57:53,580 +normal as long as N gets large enough. Now the + +690 +00:57:53,580 --> 00:57:57,100 +question is how large is large enough? + +691 +00:58:00,120 --> 00:58:06,530 +There are two cases, or actually three cases. For + +692 +00:58:06,530 --> 00:58:11,310 +most distributions, if you don't know the exact + +693 +00:58:11,310 --> 00:58:18,670 +shape, n above 30 is enough to use or to apply + +694 +00:58:18,670 --> 00:58:22,290 +that theorem. So if n is greater than 30, it will + +695 +00:58:22,290 --> 00:58:24,650 +give a standard distribution that is nearly + +696 +00:58:24,650 --> 00:58:29,070 +normal. So if my n is large, it means above 30, or + +697 +00:58:29,070 --> 00:58:33,450 +30 and above this. For fairly symmetric + +698 +00:58:33,450 --> 00:58:35,790 +distribution, I mean for nearly symmetric + +699 +00:58:35,790 --> 00:58:38,630 +distribution, the distribution is not exactly + +700 +00:58:38,630 --> 00:58:42,910 +normal, but approximately normal. In this case, N + +701 +00:58:42,910 --> 00:58:46,490 +to be large enough if it is above 15. So, N + +702 +00:58:46,490 --> 00:58:48,770 +greater than 15 will usually have same + +703 +00:58:48,770 --> 00:58:50,610 +distribution as almost normal. + +704 +00:58:55,480 --> 00:58:57,840 +For normal population, as we mentioned, of + +705 +00:58:57,840 --> 00:59:00,740 +distributions, the semantic distribution of the + +706 +00:59:00,740 --> 00:59:02,960 +mean is always. + +707 +00:59:06,680 --> 00:59:12,380 +Okay, so again, there are three cases. For most + +708 +00:59:12,380 --> 00:59:16,280 +distributions, N to be large, above 30. In this + +709 +00:59:16,280 --> 00:59:20,460 +case, the distribution is nearly normal. For + +710 +00:59:20,460 --> 00:59:24,300 +fairly symmetric distributions, N above 15 gives + +711 +00:59:24,660 --> 00:59:28,960 +almost normal distribution. But if the population + +712 +00:59:28,960 --> 00:59:32,400 +by itself is normally distributed, always the + +713 +00:59:32,400 --> 00:59:35,800 +sample mean is normally distributed. So that's the + +714 +00:59:35,800 --> 00:59:37,300 +three cases. + +715 +00:59:40,040 --> 00:59:47,480 +Now for this example, suppose we have a + +716 +00:59:47,480 --> 00:59:49,680 +population. It means we don't know the + +717 +00:59:49,680 --> 00:59:52,900 +distribution of that population. And that + +718 +00:59:52,900 --> 00:59:57,340 +population has mean of 8. Standard deviation of 3. + +719 +00:59:58,200 --> 01:00:01,200 +And suppose a random sample of size 36 is + +720 +01:00:01,200 --> 01:00:04,780 +selected. In this case, the population is not + +721 +01:00:04,780 --> 01:00:07,600 +normal. It says A population, so you don't know + +722 +01:00:07,600 --> 01:00:12,340 +the exact distribution. But N is large. It's above + +723 +01:00:12,340 --> 01:00:15,060 +30, so you can apply the central limit theorem. + +724 +01:00:15,920 --> 01:00:20,380 +Now we ask about what's the probability that a + +725 +01:00:20,380 --> 01:00:25,920 +sample means. is between what's the probability + +726 +01:00:25,920 --> 01:00:29,240 +that the same element is between these two values. + +727 +01:00:32,180 --> 01:00:36,220 +Now, the difference between this lecture and the + +728 +01:00:36,220 --> 01:00:39,800 +previous ones was, here we are interested in the + +729 +01:00:39,800 --> 01:00:44,440 +exponent of X. Now, even if the population is not + +730 +01:00:44,440 --> 01:00:47,080 +normally distributed, the central limit theorem + +731 +01:00:47,080 --> 01:00:51,290 +can be abused because N is large enough. So now, + +732 +01:00:51,530 --> 01:00:57,310 +the mean of X bar equals mu, which is eight, and + +733 +01:00:57,310 --> 01:01:02,170 +sigma of X bar equals sigma over root N, which is + +734 +01:01:02,170 --> 01:01:07,150 +three over square root of 36, which is one-half. + +735 +01:01:11,150 --> 01:01:17,210 +So now, the probability of X bar greater than 7.8, + +736 +01:01:17,410 --> 01:01:21,890 +smaller than 8.2, Subtracting U, then divide by + +737 +01:01:21,890 --> 01:01:26,210 +sigma over root N from both sides, so 7.8 minus 8 + +738 +01:01:26,210 --> 01:01:30,130 +divided by sigma over root N. Here we have 8.2 + +739 +01:01:30,130 --> 01:01:33,230 +minus 8 divided by sigma over root N. I will end + +740 +01:01:33,230 --> 01:01:38,150 +with Z between minus 0.4 and 0.4. Now, up to this + +741 +01:01:38,150 --> 01:01:43,170 +step, it's in U, for chapter 7. Now, Z between + +742 +01:01:43,170 --> 01:01:47,630 +minus 0.4 up to 0.4, you have to go back. And use + +743 +01:01:47,630 --> 01:01:51,030 +the table in chapter 6, you will end with this + +744 +01:01:51,030 --> 01:01:54,530 +result. So the only difference here, you have to + +745 +01:01:54,530 --> 01:01:55,790 +use sigma over root N. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/I7SEpdLlzFg.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/I7SEpdLlzFg.srt new file mode 100644 index 0000000000000000000000000000000000000000..5bba64f10666e1bf57fc3a61810bc25502ffe3c2 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/I7SEpdLlzFg.srt @@ -0,0 +1,2427 @@ + +1 +00:00:06,760 --> 00:00:10,320 +Eventually I will give some practice problems for + +2 +00:00:10,320 --> 00:00:15,040 +chapter eight. Generally speaking, there are three + +3 +00:00:15,040 --> 00:00:19,800 +types of questions. The first type, multiple + +4 +00:00:19,800 --> 00:00:22,940 +choice, so MCQ questions. + +5 +00:00:36,250 --> 00:00:41,490 +The other type of problems will be true or false. + +6 +00:00:42,890 --> 00:00:54,870 +Part B, Part C, three response problems. + +7 +00:00:56,510 --> 00:01:00,210 +So three types of questions. Multiple choice, we + +8 +00:01:00,210 --> 00:01:03,130 +have four answers. You have to select the correct one. + +9 +00:01:06,060 --> 00:01:11,660 +True or false problems. And the last part, free + +10 +00:01:11,660 --> 00:01:14,800 +response problems. Here we'll talk about one of + +11 +00:01:14,800 --> 00:01:20,740 +these. I will cover multiple choice questions as + +12 +00:01:20,740 --> 00:01:24,200 +well as true and false. Let's start with number + +13 +00:01:24,200 --> 00:01:30,200 +one for multiple choice. The width of a confidence + +14 +00:01:30,200 --> 00:01:36,050 +interval estimate for a proportion will be Here we + +15 +00:01:36,050 --> 00:01:39,690 +are talking about the width of a confidence + +16 +00:01:39,690 --> 00:01:40,230 +interval. + +17 +00:01:43,070 --> 00:01:48,770 +Estimates for a proportion will be narrower for 99 + +18 +00:01:48,770 --> 00:01:56,180 +% confidence than for a 9%. For 95 confidence? No, + +19 +00:01:56,280 --> 00:01:59,120 +because as we know that as the confidence level + +20 +00:01:59,120 --> 00:02:03,120 +increases, the width becomes wider. So A is + +21 +00:02:03,120 --> 00:02:10,440 +incorrect. Is this true? B. Wider for sample size + +22 +00:02:10,440 --> 00:02:14,900 +of 100 than for a sample size of 50? False, + +23 +00:02:15,020 --> 00:02:20,400 +because as sample size increases, the sampling + +24 +00:02:20,400 --> 00:02:23,600 +error goes down. That means the width of the + +25 +00:02:23,600 --> 00:02:28,700 +interval becomes smaller and smaller. Yes, for N. + +26 +00:02:30,300 --> 00:02:37,100 +Part C. Narrower for 90% confidence, then for 95% + +27 +00:02:37,100 --> 00:02:40,620 +confidence. That's correct. So C is the correct + +28 +00:02:40,620 --> 00:02:43,640 +answer. Part D. Narrower when the sampling + +29 +00:02:43,640 --> 00:02:49,100 +proportion is 50%. is incorrect because if we have + +30 +00:02:49,100 --> 00:02:52,920 +smaller than 50%, we'll get smaller confidence, + +31 +00:02:53,320 --> 00:02:56,620 +smaller weight of the confidence. So C is the + +32 +00:02:56,620 --> 00:03:02,720 +correct answer. Any question? So C is the correct + +33 +00:03:02,720 --> 00:03:06,180 +answer because as C level increases, the + +34 +00:03:06,180 --> 00:03:08,760 +confidence interval becomes wider. + +35 +00:03:11,040 --> 00:03:12,920 +Let's move to the second one. + +36 +00:03:16,540 --> 00:03:19,900 +A 99% confidence interval estimate can be + +37 +00:03:19,900 --> 00:03:23,940 +interpreted to mean that. Let's look at the + +38 +00:03:23,940 --> 00:03:28,040 +interpretation of the 99% confidence interval. + +39 +00:03:28,940 --> 00:03:29,660 +Part A. + +40 +00:03:33,360 --> 00:03:38,820 +If all possible samples are taken and confidence + +41 +00:03:38,820 --> 00:03:43,070 +interval estimates are developed, 99% of them + +42 +00:03:43,070 --> 00:03:45,750 +would include the true population mean somewhere + +43 +00:03:45,750 --> 00:03:46,790 +within their interval. + +44 +00:03:49,750 --> 00:03:53,210 +Here we are talking about the population mean. It + +45 +00:03:53,210 --> 00:03:57,890 +says that 99% of them of these intervals would + +46 +00:03:57,890 --> 00:04:00,790 +include the true population mean somewhere within + +47 +00:04:00,790 --> 00:04:05,490 +their interval. It's correct. Why false? Why is it + +48 +00:04:05,490 --> 00:04:10,620 +false? This is the correct answer, because it's + +49 +00:04:10,620 --> 00:04:15,240 +mentioned that 99% of these confidence intervals + +50 +00:04:15,240 --> 00:04:19,600 +will contain the true population mean somewhere + +51 +00:04:19,600 --> 00:04:22,900 +within their interval. So A is correct. Let's look + +52 +00:04:22,900 --> 00:04:30,880 +at B. B says we have 99% confidence that we have + +53 +00:04:30,880 --> 00:04:34,160 +selected a sample whose interval does include the + +54 +00:04:34,160 --> 00:04:39,160 +population mean. Also, this one is correct. Again, + +55 +00:04:39,300 --> 00:04:42,540 +it's mentioned that 99% confidence that we have + +56 +00:04:42,540 --> 00:04:47,080 +selected a sample whose interval does include. So + +57 +00:04:47,080 --> 00:04:52,600 +it's correct. So C is both of the above and D none + +58 +00:04:52,600 --> 00:04:54,840 +of the above. So C is the correct answer. So + +59 +00:04:54,840 --> 00:04:59,080 +sometimes maybe there is only one answer. Maybe in + +60 +00:04:59,080 --> 00:05:03,360 +other problems, it might be two answers are + +61 +00:05:03,360 --> 00:05:07,150 +correct. So for this one, B and C. I'm sorry, A + +62 +00:05:07,150 --> 00:05:11,790 +and B are correct, so C is the correct answer. + +63 +00:05:14,270 --> 00:05:17,530 +Number three, which of the following is not true + +64 +00:05:17,530 --> 00:05:20,610 +about the student's T distribution? Here, we are + +65 +00:05:20,610 --> 00:05:25,550 +talking about the not true statement about the + +66 +00:05:25,550 --> 00:05:31,110 +student T distribution, A. It has more data in the + +67 +00:05:31,110 --> 00:05:35,780 +tails and less in the center than does the normal + +68 +00:05:35,780 --> 00:05:38,580 +distribution. That's correct because we mentioned + +69 +00:05:38,580 --> 00:05:44,160 +last time that the T distribution, the tail is fatter + +70 +00:05:44,160 --> 00:05:48,000 +than the Z normal. So that means it has more data + +71 +00:05:48,000 --> 00:05:52,100 +in the tails and less data in the center. So + +72 +00:05:52,100 --> 00:05:52,720 +that's correct. + +73 +00:05:58,000 --> 00:06:01,020 +It is used to construct confidence intervals for + +74 +00:06:01,020 --> 00:06:03,220 +the population mean when the population standard + +75 +00:06:03,220 --> 00:06:07,400 +deviation is known. No, we use z instead of t, so + +76 +00:06:07,400 --> 00:06:11,680 +this one is incorrect about t. It is bell-shaped + +77 +00:06:11,680 --> 00:06:17,320 +and symmetrical, so that's true, so we are looking + +78 +00:06:17,320 --> 00:06:21,900 +for the incorrect statement. D, as the number of + +79 +00:06:21,900 --> 00:06:23,260 +degrees of freedom increases, + +80 +00:06:25,850 --> 00:06:31,510 +the T distribution approaches the normal. That's + +81 +00:06:31,510 --> 00:06:36,830 +true. So which one? B. So B is incorrect. So + +82 +00:06:36,830 --> 00:06:39,670 +number four. Extra. + +83 +00:06:42,010 --> 00:06:47,090 +Can you explain the average total compensation of + +84 +00:06:47,090 --> 00:06:51,830 +CEOs in the service industry? Data were randomly + +85 +00:06:51,830 --> 00:06:57,480 +collected from 18 CEOs and 19 employees. 97% + +86 +00:06:57,480 --> 00:07:06,040 +confidence interval was calculated to be $281, + +87 +00:07:07,040 --> 00:07:09,020 +$260, + +88 +00:07:10,060 --> 00:07:13,780 +$5836, + +89 +00:07:14,800 --> 00:07:19,300 +and $180. Which of the following interpretations + +90 +00:07:19,300 --> 00:07:27,310 +is correct? Part number A. It says 97% of the + +91 +00:07:27,310 --> 00:07:32,450 +sample data compensation value between these two + +92 +00:07:32,450 --> 00:07:37,310 +values, correct or incorrect statement. Because it + +93 +00:07:37,310 --> 00:07:44,310 +says 97% of the sample data. For the confidence + +94 +00:07:44,310 --> 00:07:48,310 +interval, we are looking for the average, not + +95 +00:07:48,310 --> 00:07:51,690 +for the population, not for the sample. So A is + +96 +00:07:51,690 --> 00:07:55,890 +incorrect. Because A, it says here 97% of the + +97 +00:07:55,890 --> 00:07:58,690 +sampling total. Sample total, we are looking for + +98 +00:07:58,690 --> 00:08:02,390 +the average of the population. So A is incorrect + +99 +00:08:02,390 --> 00:08:09,150 +statement. B, we are 97% confident that the mean + +100 +00:08:09,150 --> 00:08:15,890 +of the sample. So it's false. Because the + +101 +00:08:15,890 --> 00:08:18,470 +confidence about the entire population is about + +102 +00:08:18,470 --> 00:08:24,160 +the population mean. So B is incorrect. C. In the + +103 +00:08:24,160 --> 00:08:27,760 +population of the service industry, here we have + +104 +00:08:27,760 --> 00:08:33,240 +97% of them will have a total compensation. Also, + +105 +00:08:33,360 --> 00:08:37,480 +this one is incorrect because it mentions in the + +106 +00:08:37,480 --> 00:08:39,900 +population. Here we are talking about total, but + +107 +00:08:39,900 --> 00:08:44,000 +we are looking for the average. Now, part D. We + +108 +00:08:44,000 --> 00:08:47,360 +are 97% confident that the average total + +109 +00:08:50,460 --> 00:08:53,440 +compensation is between these two values. So this + +110 +00:08:53,440 --> 00:08:55,840 +is the correct statement. So D is the + +111 +00:08:55,840 --> 00:08:59,040 +correct statement. So for the confidence interval, + +112 +00:08:59,040 --> 00:09:03,520 +we are looking for the population, number one. Number + +113 +00:09:03,520 --> 00:09:07,260 +two, the average of that population. So D is the + +114 +00:09:07,260 --> 00:09:10,420 +correct answer. Let's go back to part A. In part + +115 +00:09:07,260 --> 00:09:10,420 +A, it says sample total. So this is incorrect. + +116 +00:09:11,380 --> 00:09:15,140 +Next one. The mean of the sample. We are looking + +117 +00:09:15,140 --> 00:09:17,440 +for the mean of the population. So B is incorrect. + +118 +00:09:18,040 --> 00:09:25,240 +Part C. It mentions here the population, but total. So + +119 +00:09:25,240 --> 00:09:30,300 +this one is incorrect. Finally here, we are 97% + +120 +00:09:30,300 --> 00:09:34,680 +confident that the average total. So this one is + +121 +00:09:34,680 --> 00:09:39,360 +true. So here we have the population and the + +122 +00:09:39,360 --> 00:09:42,100 +average of that population. So it makes sense that + +123 +00:09:42,100 --> 00:09:43,260 +this is the correct answer. + +124 +00:09:46,520 --> 00:09:47,660 +Number five. + +125 +00:09:59,690 --> 00:10:03,290 +Number five, a confidence interval. Confidence + +126 +00:10:03,290 --> 00:10:06,610 +interval was used to estimate the proportion of + +127 +00:10:06,610 --> 00:10:10,170 +statistics students that are females. A random + +128 +00:10:10,170 --> 00:10:16,170 +sample of 72 statistics students generated the + +129 +00:10:16,170 --> 00:10:22,970 +following 90% confidence interval, 0.438 + +130 +00:10:22,970 --> 00:10:28,150 +and 0.640. + +131 +00:10:28,510 --> 00:10:32,890 +Based on the interval above the population + +132 +00:10:32,890 --> 00:10:38,230 +proportion of females equals to 0.6. So here we + +133 +00:10:38,230 --> 00:10:44,310 +have a confidence interval for the female proportion + +134 +00:10:44,310 --> 00:10:52,990 +ranges between 0.438 up to 0.642. Based on this + +135 +00:10:52,990 --> 00:10:57,050 +interval. Is the population proportion of females + +136 +00:10:57,050 --> 00:10:58,770 +equal to 60%? + +137 +00:11:03,410 --> 00:11:06,690 +So here we have from this point all the way up to + +138 +00:11:06,690 --> 00:11:10,610 +0.6. Is the population proportion of females equal + +139 +00:11:10,610 --> 00:11:16,250 +to 0.6? No. The answer is no, but now what? + +140 +00:11:16,850 --> 00:11:24,320 +Number A. No, and we are 90% sure of it. No, the + +141 +00:11:24,320 --> 00:11:31,200 +proportion is 54.17. See, maybe 60% is a + +142 +00:11:31,200 --> 00:11:33,760 +believable value of the population proportion based on + +143 +00:11:33,760 --> 00:11:38,080 +the information about it. He said yes, and we are 90% + +144 +00:11:38,080 --> 00:11:44,300 +sure of it. So which one is correct? Farah. Which + +145 +00:11:44,300 --> 00:11:44,900 +one is correct? + +146 +00:11:50,000 --> 00:11:56,760 +B says the proportion is 54. 54 if we take the + +147 +00:11:56,760 --> 00:12:01,120 +average of these two values, the answer is 54. But + +148 +00:12:01,120 --> 00:12:04,960 +the true proportion is not the average of the two + +149 +00:12:04,960 --> 00:12:07,640 +endpoints. + +150 +00:12:08,440 --> 00:12:09,500 +So B is incorrect. + +151 +00:12:12,780 --> 00:12:16,320 +If you look at A, the answer is no. And we + +152 +00:12:16,320 --> 00:12:20,440 +mentioned before that this interval may or may not + +153 +00:12:20,440 --> 00:12:25,380 +contain the true proportion, so A is incorrect. + +154 +00:12:26,700 --> 00:12:32,640 +Now C, maybe. So C is the correct statement, maybe + +155 +00:12:32,640 --> 00:12:35,820 +60% is a believable value of the population + +156 +00:12:35,820 --> 00:12:39,020 +proportion based on the information about it. So C is + +157 +00:12:39,020 --> 00:12:44,440 +the correct answer. A6, number six. + +158 +00:12:48,590 --> 00:12:49,550 +Number six. + +159 +00:13:21,280 --> 00:13:23,800 +So up to this point, we have the same information + +160 +00:13:23,800 --> 00:13:27,440 +for the previous problem. Using the information + +161 +00:13:27,440 --> 00:13:31,440 +about what total size sample would be necessary if + +162 +00:13:31,440 --> 00:13:35,460 +we wanted to estimate the true proportion within + +163 +00:13:35,460 --> 00:13:43,620 +plus or minus 0.108 using 95% + +164 +00:13:43,620 --> 00:13:46,320 +confidence. Now here we are looking for the sample + +165 +00:13:46,320 --> 00:13:49,160 +size that is required to estimate the true + +166 +00:13:49,160 --> 00:13:53,720 +proportion to be within plus or minus 8% using + +167 +00:13:53,720 --> 00:13:54,720 +95% confidence. + +168 +00:13:58,640 --> 00:14:05,360 +The formula first, n equals z squared times p times 1 minus p, + +169 +00:14:08,740 --> 00:14:14,240 +divided by e squared. + +170 +00:14:15,740 --> 00:14:21,120 +Now, p is not given. So in this case, either we + +171 +00:14:21,120 --> 00:14:25,880 +use a prior sample in order to estimate the sample + +172 +00:14:25,880 --> 00:14:30,400 +proportion or use p to be 0.5. So in this case + +173 +00:14:30,400 --> 00:14:35,900 +we have to use p to be 1 half. If you remember last + +174 +00:14:35,900 --> 00:14:39,720 +time I gave you this equation. Z alpha over 2 + +175 +00:14:39,720 --> 00:14:44,820 +divided by 2 squared. So we have this equation. + +176 +00:14:45,900 --> 00:14:49,280 +Because p is not given, just use p to be 1 half. + +177 +00:14:50,060 --> 00:14:54,880 +Or you may use this equation. shortcut formula. In + +178 +00:14:54,880 --> 00:15:02,120 +this case, here we are talking about 95%. So + +179 +00:15:02,120 --> 00:15:07,240 +what's the value of Z? 196. 2 times E. + +180 +00:15:10,100 --> 00:15:17,140 +E is 8%. So 196 divided by 2 times E, the quantity + +181 +00:15:17,140 --> 00:15:25,540 +squared. Now the answer to this problem is 150. So + +182 +00:15:25,540 --> 00:15:28,720 +approximately 150. + +183 +00:15:29,160 --> 00:15:33,520 +So 150 is the correct answer. So again, here we + +184 +00:15:33,520 --> 00:15:41,460 +used p to be 1 half because P is not given. And + +185 +00:15:41,460 --> 00:15:46,580 +simple calculation results in 150 for the sample + +186 +00:15:46,580 --> 00:15:49,820 +size. So P is the correct answer, 7. + +187 +00:15:55,220 --> 00:15:56,000 +Number seven. + +188 +00:16:00,480 --> 00:16:03,820 +Number seven. When determining the sample size + +189 +00:16:03,820 --> 00:16:05,820 +necessary for estimating the true population + +190 +00:16:05,820 --> 00:16:10,560 +mean, which factor is not considered when sampling + +191 +00:16:10,560 --> 00:16:14,960 +with replacement? Now here, if you remember the + +192 +00:16:14,960 --> 00:16:17,960 +formula for the sample size. + +193 +00:16:38,820 --> 00:16:43,460 +Now, which factor is not considered when sampling + +194 +00:16:43,460 --> 00:16:47,120 +without replacement? Now, the population + +195 +00:16:47,120 --> 00:16:51,460 +size, the population size is not in this equation, + +196 +00:16:51, + +223 +00:18:57,670 --> 00:19:00,630 +correct answer is A, nine. + +224 +00:19:07,140 --> 00:19:10,500 +A major department store chain is interested in + +225 +00:19:10,500 --> 00:19:13,560 +estimating the average amount each credit and + +226 +00:19:13,560 --> 00:19:16,560 +customers spent on their first visit to the + +227 +00:19:16,560 --> 00:19:21,380 +chain's new store in the mall. 15 credit cards + +228 +00:19:21,380 --> 00:19:26,540 +accounts were randomly sampled and analyzed with + +229 +00:19:26,540 --> 00:19:29,320 +the following results. So here we have this + +230 +00:19:29,320 --> 00:19:34,880 +information about the 15 data points. We have x + +231 +00:19:34,880 --> 00:19:35,220 +bar. + +232 +00:19:38,550 --> 00:19:42,150 +of $50.5. + +233 +00:19:43,470 --> 00:19:47,390 +And S squared, the sample variance is 400. + +234 +00:19:49,890 --> 00:19:52,750 +Construct a 95% confidence interval for the average + +235 +00:19:52,750 --> 00:19:55,570 +amount its credit card customer spent on their + +236 +00:19:55,570 --> 00:20:01,230 +first visit to the chain. It's a new store. It's + +237 +00:20:01,230 --> 00:20:04,310 +in the mall, assuming the amount spent follows a + +238 +00:20:04,310 --> 00:20:05,010 +normal distribution. + +239 +00:20:08,090 --> 00:20:13,150 +In this case, we should use T instead of Z. So the + +240 +00:20:13,150 --> 00:20:16,310 +formula should be X bar plus or minus T, alpha + +241 +00:20:16,310 --> 00:20:17,610 +over 2S over root N. + +242 +00:20:23,110 --> 00:20:29,350 +So X bar is 50.5. T, we should use the T table. In + +243 +00:20:29,350 --> 00:20:34,010 +this case, here we are talking about 95%. + +244 +00:20:36,830 --> 00:20:44,130 +So that means alpha is 5%, alpha over 2, 0.025. + +245 +00:20:44,770 --> 00:20:48,930 +So now we are looking for 2.025, and degrees + +246 +00:20:48,930 --> 00:20:55,170 +of freedom. N is 15. It says that 15 credit cards. + +247 +00:20:55,770 --> 00:20:59,110 +So 15 credit cards accounts for random samples. So + +248 +00:20:59,110 --> 00:21:05,470 +N equals 15. So since N is 15, degrees of freedom + +249 +00:21:05,470 --> 00:21:09,850 +is 14. Now we may use the normal, the T table in + +250 +00:21:09,850 --> 00:21:16,250 +order to find the value of T in + +251 +00:21:16,250 --> 00:21:19,270 +the upper tier actually. So what's the value if + +252 +00:21:19,270 --> 00:21:26,350 +you have the table? So look at degrees of freedom + +253 +00:21:26,350 --> 00:21:33,090 +14 under the probability of 0.025. + +254 +00:21:40,190 --> 00:21:45,050 +So again, we are looking for degrees of freedom + +255 +00:21:45,050 --> 00:21:49,170 +equal 14 under 2.5%. + +256 +00:22:04,850 --> 00:22:11,390 +0.5 plus or minus 2 + +257 +00:22:11,390 --> 00:22:18,390 +.1448. S squared is given 400. Take the square root of + +258 +00:22:18,390 --> 00:22:25,570 +this quantity 20 over root n over root 15. And the + +259 +00:22:25,570 --> 00:22:30,350 +answer, just simple calculation will give + +260 +00:22:34,250 --> 00:22:38,410 +this result, so D is the correct answer. So the + +261 +00:22:38,410 --> 00:22:45,870 +answer should be 50.5 plus or minus 11.08. So D is + +262 +00:22:45,870 --> 00:22:49,170 +the correct answer. So this one is straightforward + +263 +00:22:49,170 --> 00:22:52,990 +calculation, gives part D to be the correct + +264 +00:22:52,990 --> 00:22:55,750 +answer. Any question? + +265 +00:22:58,510 --> 00:23:00,110 +11, 10? + +266 +00:23:03,110 --> 00:23:07,250 +Private colleges and universities rely on money + +267 +00:23:07,250 --> 00:23:12,730 +contributed by individuals and corporations for + +268 +00:23:12,730 --> 00:23:17,950 +their operating expenses. Much of this money is + +269 +00:23:17,950 --> 00:23:24,090 +put into a fund called an endowment, and the + +270 +00:23:24,090 --> 00:23:27,530 +college spends only the interest earned by the + +271 +00:23:27,530 --> 00:23:33,130 +fund. Now, here we have a recent It says that a + +272 +00:23:33,130 --> 00:23:35,310 +recent survey of eight private colleges in the + +273 +00:23:35,310 --> 00:23:39,450 +United States revealed the following endowment in + +274 +00:23:39,450 --> 00:23:44,350 +millions of dollars. So we have this data. So it's + +275 +00:23:44,350 --> 00:23:50,650 +raw data. Summary statistics yield the export to be + +276 +00:23:50,650 --> 00:23:53,010 +180. + +277 +00:23:57,010 --> 00:23:57,850 +So export. + +278 +00:24:07,070 --> 00:24:12,130 +Now if this information is not given, you have to + +279 +00:24:12,130 --> 00:24:15,170 +compute the average and standard deviation by the + +280 +00:24:15,170 --> 00:24:19,860 +equations we know. But here, the mean and standard + +281 +00:24:19,860 --> 00:24:23,200 +deviation are given. So just use this information + +282 +00:24:23,200 --> 00:24:27,480 +anyway. Calculate a 95% confidence interval for the + +283 +00:24:27,480 --> 00:24:30,140 +mean endowment of all private colleges in the + +284 +00:24:30,140 --> 00:24:34,520 +United States, assuming a normal distribution for + +285 +00:24:34,520 --> 00:24:39,300 +the endowment. Here we have 95%. + +286 +00:24:39,300 --> 00:24:42,600 +Now + +287 +00:24:42,600 --> 00:24:48,480 +what's the sample size? It says that eight. So N + +288 +00:24:48,480 --> 00:24:53,900 +is eight. So again, simple calculation. So + +289 +00:24:53,900 --> 00:24:59,680 +explore, plus or minus T, S over root N. So use + +290 +00:24:59,680 --> 00:25:04,200 +the same idea for the previous one. And the answer + +291 +00:25:04,200 --> 00:25:10,420 +for number 10 is part D. So D is the correct + +292 +00:25:10,420 --> 00:25:17,380 +answer. So again, for eleven, D is the correct + +293 +00:25:17,380 --> 00:25:22,680 +answer. For ten, D is the correct answer. Next. So + +294 +00:25:22,680 --> 00:25:26,280 +this one is similar to the one we just did. + +295 +00:25:30,660 --> 00:25:31,260 +Eleven. + +296 +00:25:47,140 --> 00:25:51,140 +Here it says that rather than examine the records + +297 +00:25:51,140 --> 00:25:56,220 +of all students, the dean took a random sample of + +298 +00:25:56,220 --> 00:26:01,340 +size 200. So we have a large university. Here we + +299 +00:26:01,340 --> 00:26:04,860 +took a representative sample of size 200. + +300 +00:26:26,980 --> 00:26:31,900 +How many students would need to be assembled? It + +301 +00:26:31,900 --> 00:26:34,540 +says that if the dean wanted to estimate the + +302 +00:26:34,540 --> 00:26:38,040 +proportion of all students, the saving financial + +303 +00:26:38,040 --> 00:26:46,100 +aid to within 3% with 99% probability. How many + +304 +00:26:46,100 --> 00:26:51,620 +students would need to be sampled? So we have the + +305 +00:26:51,620 --> 00:26:56,920 +formula, if you remember, n equals z y 1 minus y + +306 +00:26:56,920 --> 00:27:00,860 +divided by e. So we have z squared. + +307 +00:27:03,640 --> 00:27:09,200 +Now, y is not given. If Pi is not given, we have + +308 +00:27:09,200 --> 00:27:14,180 +to look at either B or 0.5. Now in this problem, + +309 +00:27:15,000 --> 00:27:18,900 +it says that the Dean selected 200 students, and he + +310 +00:27:18,900 --> 00:27:23,800 +finds that out of this number, 118 of them are + +311 +00:27:23,800 --> 00:27:26,480 +receiving financial aid. So based on this + +312 +00:27:26,480 --> 00:27:30,480 +information, we can compute B. So B is x over n. + +313 +00:27:30,700 --> 00:27:34,840 +It's 118 divided by 200. And this one gives? + +314 +00:27:41,090 --> 00:27:46,310 +So in this case, out of 200 students, 118 of them + +315 +00:27:46,310 --> 00:27:49,630 +are receiving financial aid. That means the + +316 +00:27:49,630 --> 00:27:53,730 +proportion, the sample proportion, is 118 divided + +317 +00:27:53,730 --> 00:27:57,690 +by 200, which is 0.59. So we have to use this + +318 +00:27:57,690 --> 00:28:03,830 +information instead of pi. So n equals, + +319 +00:28:08,050 --> 00:28:15,120 +now it's about 99%. 2.85. Exactly, it's one of + +320 +00:28:15,120 --> 00:28:21,380 +these. We have 2.57 and + +321 +00:28:21,380 --> 00:28:30,220 +2.8. It says 99%. So + +322 +00:28:30,220 --> 00:28:32,720 +here we have 99%. So what's left? + +323 +00:28:42,180 --> 00:28:47,320 +0.5 percent, this area. 0.5 to the right and 0.5 + +324 +00:28:47,320 --> 00:28:52,500 +to the left, so 0.005. Now if you look at 2.5 under + +325 +00:28:52,500 --> 00:28:57,280 +7, the answer is 0.0051, the other one 0.0049. + +326 +00:28:59,840 --> 00:29:04,600 +So either this one or the other value, so 2.57 or + +327 +00:29:04,600 --> 00:29:07,600 +2.58, it's better to take the average of these + +328 +00:29:07,600 --> 00:29:13,320 +two. Because 0.005 lies exactly between these two + +329 +00:29:13,320 --> 00:29:20,780 +values. So the score in this case, either 2.75 or + +330 +00:29:20,780 --> 00:29:30,880 +2.78, or the average. And the exact one, 2.7, I'm + +331 +00:29:30,880 --> 00:29:34,680 +sorry, 2.576. The exact answer. + +332 +00:29:38,000 --> 00:29:40,700 +It's better to use the average if you don't + +333 +00:29:40,700 --> 00:29:46,100 +remember the exact answer. So it's the exact one. + +334 +00:29:47,480 --> 00:29:53,440 +But 2.575 is okay. Now just use this equation, 2 + +335 +00:29:53,440 --> 00:30:02,020 +.575 times square, times 0.59. + +336 +00:30:03,900 --> 00:30:09,440 +1 minus 0.59 divided by the error. It's three + +337 +00:30:09,440 --> 00:30:17,800 +percent. So it's 0.0312 squared. So the answer in + +338 +00:30:17,800 --> 00:30:23,420 +this case is part 2 + +339 +00:30:23,420 --> 00:30:30,300 +.57 times 0.59 times 0.41 divided by 0.03 squared. The + +340 +00:30:30,300 --> 00:30:31,140 +answer is part. + +341 +00:30:41,650 --> 00:30:46,530 +You will get the exact answer if you use 2.576. + +342 +00:30:48,190 --> 00:30:51,230 +You will get the exact answer. But anyway, if you + +343 +00:30:51,230 --> 00:30:53,310 +use one of these, you will get an approximate answer + +344 +00:30:53,310 --> 00:30:56,430 +to be 1784. + +345 +00:30:58,590 --> 00:31:04,430 +Any question? So in this case, we used the sample + +346 +00:31:04,430 --> 00:31:11,240 +proportion instead of 0.5, because the dean + +347 +00:31:11,240 --> 00:31:14,120 +selected a random sample of size 200, and he finds + +348 +00:31:14,120 --> 00:31:19,200 +that 118 of them are receiving financial aid. That + +349 +00:31:19,200 --> 00:31:24,980 +means the sample proportion is 118 divided by 200, + +350 +00:31:25,360 --> 00:31:30,420 +which gives 0.59. So we have to use 59% as the + +351 +00:31:30,420 --> 00:31:38,360 +sample proportion. Is it clear? Next, number + +352 +00:31:38,360 --> 00:31:38,760 +three. + +353 +00:31:41,700 --> 00:31:45,860 +An economist is interested in studying the incomes + +354 +00:31:45,860 --> 00:31:51,620 +of consumers in a particular region. The + +355 +00:31:51,620 --> 00:31:56,400 +population standard deviation is known to be 1 + +356 +00:31:56,400 --> 00:32:00,560 +,000. A random sample of 50 individuals resulted + +357 +00:32:00,560 --> 00:32:06,460 +in an average income of $15,000. What is the + +358 +00:32:06,460 --> 00:32:11,520 +width of the 90% confidence interval? So here in + +359 +00:32:11,520 --> 00:32:16,560 +this example, the population standard deviation + +360 +00:32:16,560 --> 00:32:21,480 +sigma is known. So sigma is $1000. + +361 +00:32:24,600 --> 00:32:32,280 +A random sample of size 50 is selected. This sample + +362 +00:32:32,280 --> 00:32:41,430 +gives an average of $15,000 ask + +363 +00:32:41,430 --> 00:32:48,150 +about what is the width of the 90% confidence + +364 +00:32:48,150 --> 00:32:55,630 +interval. So again, here + +365 +00:32:55,630 --> 00:32:58,710 +we are asking about the width of the confidence + +366 +00:32:58,710 --> 00:33:02,570 +interval. If we have a random sample of size 50, + +367 +00:33:03,320 --> 00:33:07,560 +And that sample gives an average of $15,000. And + +368 +00:33:07,560 --> 00:33:10,940 +we know that the population standard deviation is + +369 +00:33:10,940 --> 00:33:17,580 +1,000. Now, what's the width of the 90% confidence + +370 +00:33:17,580 --> 00:33:21,800 +interval? Any idea of this? + +371 +00:33:33,760 --> 00:33:40,020 +So idea number one is fine. You may calculate the + +372 +00:33:40,020 --> 00:33:43,400 +lower limit and upper limit. And the difference + +373 +00:33:43,400 --> 00:33:46,640 +between these two gives the width. So idea number + +374 +00:33:46,640 --> 00:33:51,360 +one, the width equals the distance between upper + +375 +00:33:51,360 --> 00:33:59,070 +limit or limit minus lower limit. Now this + +376 +00:33:59,070 --> 00:34:03,270 +distance gives a width, that's correct. Let's see. + +377 +00:34:04,710 --> 00:34:07,910 +So in other words, you have to find the confidence + +378 +00:34:07,910 --> 00:34:12,070 +interval by using this equation x bar plus or + +379 +00:34:12,070 --> 00:34:17,070 +minus z sigma over root n, x bar is given. + +380 +00:34:20,190 --> 00:34:28,690 +Now for 90% we know that z equals 1.645, sigma is + +381 +00:34:28,690 --> 00:34:32,670 +1000 divided + +382 +00:34:32,670 --> 00:34:40,850 +by root 50 plus or minus. By calculator, 1000 + +383 +00:34:40,850 --> 00:34:45,010 +times this number divided by root 50 will give + +384 +00:34:45,010 --> 00:34:49,190 +around + +385 +00:34:49,190 --> 00:34:50,730 +232.6. + +386 +00:34:58,290 --> 00:35:05,790 +So the upper limit is this value and lower limit + +387 +00:35:05,790 --> 00:35:09,650 +is 14767.1. + +388 +00:35:11,350 --> 00:35:14,250 +So now the upper limit and lower limit are + +389 +00:35:14,250 --> 00:35:18,590 +computed. Now the difference between these two + +390 +00:35:18,590 --> 00:35:24,010 +values will give the width. If you subtract these + +391 +00:35:24,010 --> 00:35:26,030 +two values, what equals 15,000? + +392 +00:35:30,670 --> 00:35:37,190 +And the answer is 465.13, around. + +393 +00:35:40,050 --> 00:35:45,550 +Maybe I took two minutes to figure the answer, the + +394 +00:35:45,550 --> 00:35:49,350 +right answer. But there is another one, another + +395 +00:35:49,350 --> 00:35:52,790 +idea, maybe shorter. It'll take shorter time. + +396 +00:35:56,890 --> 00:36:00,230 +It's correct, but straightforward. Just compute + +397 +00:36:00,230 --> 00:36:05,790 +the lower and upper limits. And the width is the + +398 +00:36:05,790 --> 00:36:07,190 +difference between these two values. + +399 +00:36:11,370 --> 00:36:16,050 +If you look carefully at this equation, difference + +400 +00:36:16,050 --> 00:36:21,560 +between these two values gives the width. Now + +401 +00:36:21,560 --> 00:36:25,880 +let's imagine that the lower limit equals x bar + +402 +00:36:25,880 --> 00:36:28,920 +minus + +403 +00:36:28,920 --> 00:36:36,340 +the error term. And the upper limit is also x bar plus + +404 +00:36:36,340 --> 00:36:37,960 +the error term. + +405 +00:36:41,460 --> 00:36:46,580 +Now if we add this, or if we subtract 2 from 1, + +406 +00:36:47,900 --> 00:36:52,560 +you will get the upper limit minus the lower limit equals + +407 +00:36:52,560 --> 00:36:55,740 +x + +408 +00:36:55,740 --> 00:37:07,280 +bar cancels with 2x bar. If you subtract, w minus + +409 +00:37:07,280 --> 00:37:10,960 +equals 2e. + +410 +00:37:12,520 --> 00:37:18,060 +Upper limit minus lower limit is the width. So w, + +411 +00:37:18,760 --> 00:37: + +445 +00:40:25,610 --> 00:40:28,390 +have to construct the confidence interval, then + +446 +00:40:28,390 --> 00:40:32,910 +subtract the upper limit from the lower limit, you + +447 +00:40:32,910 --> 00:40:38,030 +will get the width of the interval. The other way, + +448 +00:40:38,610 --> 00:40:42,150 +just compute the error and multiply the answer by + +449 +00:40:42,150 --> 00:40:48,210 +2, you will get the same result. Number 13. + +450 +00:40:56,020 --> 00:41:00,980 +13th says that the head librarian at the Library + +451 +00:41:00,980 --> 00:41:04,780 +of Congress has asked her assistant for an + +452 +00:41:04,780 --> 00:41:07,980 +interval estimate of a mean number of books + +453 +00:41:07,980 --> 00:41:12,720 +checked out each day. The assistant provides the + +454 +00:41:12,720 --> 00:41:23,000 +following interval estimate. From 740 to 920 books + +455 +00:41:23,000 --> 00:41:28,360 +per day. If the head librarian knows that the + +456 +00:41:28,360 --> 00:41:33,880 +population standard deviation is 150 books shipped + +457 +00:41:33,880 --> 00:41:37,420 +outwardly, approximately how large a sample did + +458 +00:41:37,420 --> 00:41:40,200 +her assistant use to determine the interval + +459 +00:41:40,200 --> 00:41:46,540 +estimate? So the information we have is the + +460 +00:41:46,540 --> 00:41:50,860 +following. We have information about the + +461 +00:41:50,860 --> 00:41:51,700 +confidence interval. + +462 +00:42:01,440 --> 00:42:02,800 +920 books. + +463 +00:42:05,940 --> 00:42:08,700 +And sigma is known to be 150. + +464 +00:42:12,980 --> 00:42:17,980 +That's all we have. He asked about how large a + +465 +00:42:17,980 --> 00:42:20,880 +sample did her assistant use to determine the + +466 +00:42:20,880 --> 00:42:21,820 +interval estimate. + +467 +00:42:26,740 --> 00:42:31,850 +Look at the answers. A is 2. B is 3, C is 12, it + +468 +00:42:31,850 --> 00:42:33,950 +cannot be determined from the information given. + +469 +00:42:37,190 --> 00:42:43,190 +Now, in order to find the number, the sample, we + +470 +00:42:43,190 --> 00:42:48,350 +need Sigma or E squared. Confidence is not given. + +471 +00:42:50,550 --> 00:43:00,140 +Sigma is okay. We can find the error. The error is + +472 +00:43:00,140 --> 00:43:07,940 +just W divided by 2. So the error is fine. I mean, + +473 +00:43:08,100 --> 00:43:12,200 +E is fine. E is B minus A or upper limit minus + +474 +00:43:12,200 --> 00:43:17,100 +lower limit divided by 2. So width divided by 2. + +475 +00:43:17,240 --> 00:43:20,740 +So this is fine. But you don't have information + +476 +00:43:20,740 --> 00:43:21,780 +about Z. + +477 +00:43:25,020 --> 00:43:29,550 +We are looking for N. So Z is not I mean, cannot + +478 +00:43:29,550 --> 00:43:32,810 +be computed because the confidence level is not + +479 +00:43:32,810 --> 00:43:39,830 +given. So the information is determined + +480 +00:43:39,830 --> 00:43:46,170 +from the information given. Make sense? So we + +481 +00:43:46,170 --> 00:43:50,790 +cannot compute this score. Z is fine. Z is 150. + +482 +00:43:51,330 --> 00:43:54,310 +The margin of error, we can compute the margin by + +483 +00:43:54,310 --> 00:43:59,090 +using this interval, the width. Divide by two + +484 +00:43:59,090 --> 00:44:05,790 +gives the same result. Now for number 14, we have + +485 +00:44:05,790 --> 00:44:11,330 +the same information. But here, + +486 +00:44:14,450 --> 00:44:22,030 +she asked her assistant to use 25 days. So now, n + +487 +00:44:22,030 --> 00:44:24,990 +is 25. We have the same information about the + +488 +00:44:24,990 --> 00:44:25,310 +interval. + +489 +00:44:32,020 --> 00:44:33,300 +And sigma is 150. + +490 +00:44:36,300 --> 00:44:40,800 +So she asked her assistant to use 25 days of data + +491 +00:44:40,800 --> 00:44:43,860 +to construct the interval estimate. So n is 25. + +492 +00:44:44,980 --> 00:44:48,300 +What confidence level can she attach to the + +493 +00:44:48,300 --> 00:44:53,500 +interval estimate? Now in this case, we are asking + +494 +00:44:53,500 --> 00:44:56,240 +about confidence, not z. + +495 +00:45:00,930 --> 00:45:03,530 +You have to distinguish between confidence level + +496 +00:45:03,530 --> 00:45:08,130 +and z. We use z, I'm sorry, we use z level to + +497 +00:45:08,130 --> 00:45:13,350 +compute the z score. Now, which one is correct? 99 + +498 +00:45:13,350 --> 00:45:21,670 +.7, 99, 98, 95.4. Let's see. Now, what's the + +499 +00:45:21,670 --> 00:45:25,070 +average? I'm sorry, the formula is x bar plus or + +500 +00:45:25,070 --> 00:45:29,270 +minus z sigma over root n. What's the average? In + +501 +00:45:29,270 --> 00:45:34,710 +this case, this is the formula we have. We are + +502 +00:45:34,710 --> 00:45:38,770 +looking about this one. Now, also there are two + +503 +00:45:38,770 --> 00:45:43,250 +ways to solve this problem. Either focus on the + +504 +00:45:43,250 --> 00:45:47,950 +aorta, or just find a continuous interval by + +505 +00:45:47,950 --> 00:45:55,830 +itself. So let's focus on this one. Z sigma over + +506 +00:45:55,830 --> 00:45:56,230 +root of. + +507 +00:45:59,620 --> 00:46:05,380 +And we have x bar. What's the value of x bar? x + +508 +00:46:05,380 --> 00:46:15,240 +bar 740 plus x + +509 +00:46:15,240 --> 00:46:16,400 +bar 830. + +510 +00:46:25,380 --> 00:46:31,740 +1660 divided by 2, 830. Now, z equals, I don't + +511 +00:46:31,740 --> 00:46:40,660 +know, sigma, sigma is 150, n is 5. So here we have + +512 +00:46:40,660 --> 00:46:41,600 +30 sigma. + +513 +00:46:44,980 --> 00:46:51,560 +Now, what's the value of sigma? 36, so we have x + +514 +00:46:51,560 --> 00:46:54,900 +bar, now the value of x bar. + +515 +00:47:02,330 --> 00:47:10,530 +So we have x bar 830 plus or minus 30 there. + +516 +00:47:15,290 --> 00:47:18,030 +Now, if you look carefully at this equation, + +517 +00:47:19,550 --> 00:47:24,570 +what's the value of z in order to have this + +518 +00:47:24,570 --> 00:47:29,630 +confidence interval, which is 740 and 920? + +519 +00:47:36,170 --> 00:47:40,730 +So, Z should be... + +520 +00:47:40,730 --> 00:47:46,290 +What's the value of Z? Now, 830 minus 3Z equals + +521 +00:47:46,290 --> 00:47:46,870 +this value. + +522 +00:47:49,830 --> 00:47:53,390 +So, Z equals... + +523 +00:47:53,390 --> 00:47:56,450 +3. + +524 +00:47:56,830 --> 00:48:03,540 +So, Z is 3. That's why. Now, Z is 3. What do you + +525 +00:48:03,540 --> 00:48:05,180 +think the corresponding C level? + +526 +00:48:11,460 --> 00:48:16,560 +99.7% If + +527 +00:48:16,560 --> 00:48:27,080 +you remember for the 68 empirical rule 68, 95, 99 + +528 +00:48:27,080 --> 00:48:33,760 +.7% In chapter 6 we said that 99.7% of the data + +529 +00:48:33,760 --> 00:48:37,220 +falls within three standard deviations of the + +530 +00:48:37,220 --> 00:48:41,980 +mean. So if these three, I am sure that we are + +531 +00:48:41,980 --> 00:48:50,340 +using 99.7% for the confidence level. So for this + +532 +00:48:50,340 --> 00:48:53,280 +particular example here, we have new information + +533 +00:48:53,280 --> 00:48:57,280 +about the sample size. So N is 25. + +534 +00:49:01,630 --> 00:49:06,190 +So just simple calculation x bar as I mentioned + +535 +00:49:06,190 --> 00:49:11,510 +here. The average is lower limit plus upper limit + +536 +00:49:11,510 --> 00:49:18,270 +divided by 2. So x bar equals 830. So now your + +537 +00:49:18,270 --> 00:49:25,130 +confidence interval is x bar plus or minus z sigma + +538 +00:49:25,130 --> 00:49:31,070 +over root n. z sigma over root n, z is unknown, + +539 +00:49:32,190 --> 00:49:37,030 +sigma is 150, n is 25, which is 5, square root of + +540 +00:49:37,030 --> 00:49:48,390 +it, so we'll have 3z. So now x bar 830 minus 3z, + +541 +00:49:49,610 --> 00:49:53,870 +this is the lower limit, upper limit 830 plus 3z. + +542 +00:49:55,480 --> 00:49:59,000 +Now, the confidence interval is given by 740 and + +543 +00:49:59,000 --> 00:50:09,020 +920. Just use the lower limit. 830 minus 3z equals + +544 +00:50:09,020 --> 00:50:10,820 +740. + +545 +00:50:12,300 --> 00:50:18,280 +Simple calculation here. 830 minus 740 is 90, + +546 +00:50:18,660 --> 00:50:22,340 +equals 3z. That means z equals 3. + +547 +00:50:26,070 --> 00:50:29,750 +Now the z value is 3, it means the confidence is + +548 +00:50:29,750 --> 00:50:33,530 +99.7, so the correct answer is A. + +549 +00:50:44,690 --> 00:50:49,390 +The other way, you can use that one, by using the + +550 +00:50:53,010 --> 00:50:55,830 +margin of error, which is the difference between + +551 +00:50:55,830 --> 00:50:58,270 +these two divided by two, you will get the same + +552 +00:50:58,270 --> 00:51:02,630 +result. So there are two methods, one of these + +553 +00:51:02,630 --> 00:51:05,830 +straightforward one. The other one, as you + +554 +00:51:05,830 --> 00:51:13,550 +mentioned, is the error term. It's B minus upper + +555 +00:51:13,550 --> 00:51:19,550 +limit minus lower limit divided by two. Upper + +556 +00:51:19,550 --> 00:51:27,450 +limit is 920. Minus 74 divided by 2. What's the + +557 +00:51:27,450 --> 00:51:28,370 +value for this one? + +558 +00:51:34,570 --> 00:51:40,610 +90. So the margin of error is 90. So E equals E. + +559 +00:51:41,070 --> 00:51:43,790 +Sigma or N equals? + +560 +00:51:47,110 --> 00:51:50,810 +All squared. So by using this equation you can get + +561 +00:51:50,810 --> 00:51:56,860 +your result. So, N is 25, Z is unknown, Sigma is + +562 +00:51:56,860 --> 00:52:05,520 +150, R is 90. This one squared. You will get the + +563 +00:52:05,520 --> 00:52:10,020 +same Z-score. Make sense? + +564 +00:52:17,770 --> 00:52:21,810 +Because if you take z to be three times one-fifth + +565 +00:52:21,810 --> 00:52:25,150 +divided by nine squared, you will get the same + +566 +00:52:25,150 --> 00:52:30,790 +result for z value. So both will give the same + +567 +00:52:30,790 --> 00:52:35,790 +result. So that's for the multiple choice + +568 +00:52:35,790 --> 00:52:42,430 +problems. Any question? Let's move to the section + +569 +00:52:42,430 --> 00:52:46,370 +number two, true or false problems. + +570 +00:52:47,810 --> 00:52:48,790 +Number one, + +571 +00:52:51,850 --> 00:52:57,950 +a race car driver + +572 +00:52:57,950 --> 00:53:03,670 +tested his car for time from 0 to 60 mileage per + +573 +00:53:03,670 --> 00:53:09,390 +hour. And in 20 tests, obtained an average of 4.85 + +574 +00:53:09,390 --> 00:53:16,660 +seconds, with a standard deviation of 1.47 seconds. 95 + +575 +00:53:16,660 --> 00:53:23,440 +confidence interval for the 0 to 60 time is 4.62 + +576 +00:53:23,440 --> 00:53:29,540 +seconds up to 5.18. I think straightforward. Just + +577 +00:53:29,540 --> 00:53:33,440 +simple calculation, it will give the right answer. + +578 +00:53:36,660 --> 00:53:40,640 +x bar n, + +579 +00:53:41,360 --> 00:53:43,620 +so we have to use this equation. + +580 +00:53:48,220 --> 00:53:54,020 +You can do it. So it says the answer is false. You + +581 +00:53:54,020 --> 00:53:58,340 +have to check this result. So it's 4.5 plus or + +582 +00:53:58,340 --> 00:54:03,460 +minus T. We have to find T. S is given to be 147 + +583 +00:54:03,460 --> 00:54:10,120 +divided by root 20. Now, to find T, we have to use + +584 +00:54:10,120 --> 00:54:18,480 +the t-distribution with 19 degrees of freedom. By this value here, you'll get the + +585 +00:54:18,480 --> 00:54:22,160 +exact answer. Part number two. + +586 +00:54:24,980 --> 00:54:32,380 +Given a sample mean of 2.1. So x bar is 2.1. + +587 +00:54:33,680 --> 00:54:34,680 +Excuse me? + +588 +00:54:38,500 --> 00:54:45,920 +Because n is small. Now, this sample, This sample + +589 +00:54:45,920 --> 00:54:52,220 +gives an average of 4.85, and standard deviation + +590 +00:54:52,220 --> 00:55:02,420 +based on this sample. So S, so X bar, 4.85, and S + +591 +00:55:02,420 --> 00:55:09,640 +is equal to 1.47. So this is not sigma, because it + +592 +00:55:09,640 --> 00:55:15,210 +says that 20 tests, so the sample size is 20. This + +593 +00:55:15,210 --> 00:55:19,390 +sample gives an average of this amount and + +594 +00:55:19,390 --> 00:55:21,350 +standard deviation of this amount. + +595 +00:55:29,710 --> 00:55:34,610 +We are looking for the + +596 +00:55:34,610 --> 00:55:40,470 +confidence interval, and we have two cases. First + +597 +00:55:40,470 --> 00:55:43,630 +case, if sigma is known, + +598 +00:55:47,220 --> 00:55:48,240 +Sigma is unknown. + +599 +00:55:51,520 --> 00:55:58,440 +Now for this example, sigma is unknown. So since + +600 +00:55:58,440 --> 00:56:05,740 +sigma is unknown, we have to use the t-distribution if + +601 +00:56:05,740 --> 00:56:09,940 +the distribution is normal or if N is large + +602 +00:56:09,940 --> 00:56:14,380 +enough. Now for this example, N is 20. So we have + +603 +00:56:14,380 --> 00:56:17,860 +to assume that the population is approximately + +604 +00:56:17,860 --> 00:56:23,660 +normal. So we have to use the t-distribution. So my confidence + +605 +00:56:23,660 --> 00:56:26,100 +interval should be x bar plus or minus 3s over + +606 +00:56:26,100 --> 00:56:32,560 +root n. Now, number two. Given a sample mean of 2 + +607 +00:56:32,560 --> 00:56:36,180 +.1 and a population standard deviation. I + +608 +00:56:36,180 --> 00:56:38,720 +mentioned that population standard deviation is + +609 +00:56:38,720 --> 00:56:43,900 +given. So sigma is 0.7. So sigma is known in this + +610 +00:56:43,900 --> 00:56:49,170 +example. So in part two, sigma is given. Now, from + +611 +00:56:49,170 --> 00:56:50,890 +a sample of 10 data points, + +612 +00:56:53,730 --> 00:56:56,190 +we are looking for 90% confidence interval. + +613 +00:56:58,790 --> 00:57:07,230 +90% confidence interval will have a width of 2.36. + +614 +00:57:16,460 --> 00:57:19,180 +What is two times the sampling error? + +615 +00:57:22,500 --> 00:57:28,040 +So the answer is given. So the error here, error A + +616 +00:57:28,040 --> 00:57:30,160 +equals W. + +617 +00:57:32,060 --> 00:57:34,120 +So the answer is 1.16. + +618 +00:57:40,520 --> 00:57:45,220 +So he asked about given a sample, 90% confidence + +619 +00:57:45,220 --> 00:57:50,540 +interval will have a width of 2.36. Let's see if + +620 +00:57:50,540 --> 00:57:54,780 +the exact width is 2.36 or not. Now we have x bar + +621 +00:57:54,780 --> 00:58:03,240 +plus or minus z, sigma 1.8. x bar is 2.1, plus or + +622 +00:58:03,240 --> 00:58:08,660 +minus. Now what's the error? 1.18. + +623 +00:58:11,230 --> 00:58:16,370 +This amount without calculation, or you just use + +624 +00:58:16,370 --> 00:58:19,590 +this straightforward calculation here we are + +625 +00:58:19,590 --> 00:58:23,530 +talking about z about 90 percent, so this amount, 1 + +626 +00:58:23,530 --> 00:58:30,330 +.645 times sigma divided by root n, for sure this + +627 +00:58:30,330 --> 00:58:35,430 +quantity equals 1.18. But you don't need to do that + +628 +00:58:35,430 --> 00:58:40,570 +because the width is given to be 2.36. So E is 1 + +629 +00:58:40,570 --> 00:58:46,430 +.18. So that saves time in order to compute the + +630 +00:58:46,430 --> 00:58:55,190 +error term. So now 2.1 minus 1.8. 2.1 plus 1.8. + +631 +00:58:56,350 --> 00:58:59,070 +That F, the width, is 2.3 + +667 +01:02:25,600 --> 01:02:30,580 +statistics can be used to estimate the true + +668 +01:02:30,580 --> 01:02:33,400 +population parameter, either X bar as a point + +669 +01:02:33,400 --> 01:02:34,900 +estimate or P. + +670 +01:02:41,380 --> 01:02:48,000 +So that's true. Number eight. The T distribution + +671 +01:02:48,000 --> 01:02:51,100 +is used to develop a confidence interval estimate + +672 +01:02:51,100 --> 01:02:54,240 +of the population mean when the population + +673 +01:02:54,240 --> 01:02:57,200 +standard deviation is unknown. That's correct + +674 +01:02:57,200 --> 01:03:01,240 +because we are using T distribution if sigma is + +675 +01:03:01,240 --> 01:03:03,740 +not given and here we have to assume the + +676 +01:03:03,740 --> 01:03:07,960 +population is normal. 9. + +677 +01:03:11,540 --> 01:03:15,180 +The standardized normal distribution is used to + +678 +01:03:15,180 --> 01:03:17,340 +develop a confidence interval estimate of the + +679 +01:03:17,340 --> 01:03:20,700 +population proportion when the sample size is + +680 +01:03:20,700 --> 01:03:22,820 +large enough or sufficiently large. + +681 +01:03:28,640 --> 01:03:32,640 +The width + +682 +01:03:32,640 --> 01:03:37,720 +of a confidence interval equals twice the sampling + +683 +01:03:37,720 --> 01:03:42,570 +error. The weight equals twice the sample, so + +684 +01:03:42,570 --> 01:03:46,370 +that's true. A population parameter is used to + +685 +01:03:46,370 --> 01:03:50,650 +estimate a confidence interval? No way. Because we + +686 +01:03:50,650 --> 01:03:53,570 +use statistics to estimate the confidence + +687 +01:03:53,570 --> 01:03:58,130 +interval. These are statistics. So we are using + +688 +01:03:58,130 --> 01:04:02,390 +statistics to construct the confidence interval. + +689 +01:04:04,190 --> 01:04:10,080 +Number 12. Holding the sample size fixed. In + +690 +01:04:10,080 --> 01:04:14,560 +increasing level, the level of confidence in a + +691 +01:04:14,560 --> 01:04:17,520 +confidence interval will necessarily lead to wider + +692 +01:04:17,520 --> 01:04:20,500 +confidence interval. That's true. Because as C + +693 +01:04:20,500 --> 01:04:24,840 +level increases, Z becomes large, so we have large + +694 +01:04:24,840 --> 01:04:29,670 +width, so the confidence becomes wider. Last one, + +695 +01:04:30,550 --> 01:04:33,150 +holding the weight of a confidence interval fixed + +696 +01:04:33,150 --> 01:04:36,190 +and increasing the level of confidence can be + +697 +01:04:36,190 --> 01:04:40,090 +achieved with lower sample size with large sample + +698 +01:04:40,090 --> 01:04:44,830 +size. So it's false. So that's for section two. + +699 +01:04:46,230 --> 01:04:49,970 +One section is left, free response problems or + +700 +01:04:49,970 --> 01:04:52,990 +questions, you can do it at home. So next time, + +701 +01:04:53,070 --> 01:04:57,530 +inshallah, we'll start chapter nine. That's all. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/I7SEpdLlzFg_raw.json b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/I7SEpdLlzFg_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..26b40f523ded9820db6b195a9e64e56df8565922 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/I7SEpdLlzFg_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 2294, "start": 6.76, "end": 22.94, "text": " Eventually I will give some practice problem for chapter eight. Generally speaking, there are three types of questions. 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Part B, Part C, three response problems. So three types of questions. Multiple choice, we have four answers. 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And the last part, free response problems. Here we'll talk about one of these. I will cover multiple choice questions as well as true and false. Let's start with number one for multiple choice. 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No, because as we know that as the confidence level increases, the width becomes wider. So A is incorrect. Is this true? B. Wider for sample size of 100 than for a sample size of 50? 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That means the width of the interval becomes smaller and smaller. Yes, for N. Part C. Normal for 90% confidence, then for 95% confidence. That's correct. So C is the correct answer. Part D. 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So C is the correct answer. Any question? So C is the correct answer because as C level increases, the confidence interval becomes narrower. 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Let's look at the interpretation of the 99% confidence interval. Part eight. 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Here we are talking about the population mean. It says that 99% of them of these intervals would include the true population mean somewhere within their interval. It's correct. Why false? Why is it false?", "tokens": [11803, 4, 295, 552, 576, 4090, 264, 2074, 4415, 914, 4079, 1951, 641, 15035, 13, 1692, 321, 366, 1417, 466, 264, 4415, 914, 13, 467, 1619, 300, 11803, 4, 295, 552, 295, 613, 26651, 576, 4090, 264, 2074, 4415, 914, 4079, 1951, 641, 15035, 13, 467, 311, 3006, 13, 1545, 7908, 30, 1545, 307, 309, 7908, 30], "avg_logprob": -0.15153555340808014, "compression_ratio": 1.965986394557823, "no_speech_prob": 0.0, "words": [{"start": 221.69, "end": 222.15, "word": " 99", "probability": 0.66748046875}, {"start": 222.15, "end": 222.57, "word": "%", "probability": 0.87451171875}, {"start": 222.57, "end": 222.83, "word": " of", "probability": 0.931640625}, {"start": 222.83, "end": 223.07, "word": " them", "probability": 0.9091796875}, {"start": 223.07, "end": 223.37, "word": " would", "probability": 0.9150390625}, {"start": 223.37, "end": 223.83, "word": " include", "probability": 0.818359375}, {"start": 223.83, "end": 224.05, "word": " the", "probability": 0.888671875}, {"start": 224.05, "end": 224.23, "word": " true", "probability": 0.9296875}, {"start": 224.23, "end": 224.77, "word": " population", "probability": 0.9580078125}, {"start": 224.77, "end": 225.11, "word": " mean", "probability": 0.93017578125}, {"start": 225.11, "end": 225.75, "word": " somewhere", "probability": 0.89111328125}, {"start": 225.75, "end": 226.11, "word": " within", "probability": 0.92431640625}, {"start": 226.11, "end": 226.39, "word": " their", "probability": 0.94140625}, {"start": 226.39, "end": 226.79, "word": " interval.", "probability": 0.95751953125}, {"start": 229.75, "end": 230.43, "word": " Here", "probability": 0.6123046875}, {"start": 230.43, "end": 230.55, "word": " we", "probability": 0.755859375}, {"start": 230.55, "end": 230.63, "word": " are", "probability": 0.8349609375}, {"start": 230.63, "end": 230.93, "word": " talking", "probability": 0.8603515625}, {"start": 230.93, "end": 231.33, "word": " about", "probability": 0.90771484375}, {"start": 231.33, "end": 231.51, "word": " the", "probability": 0.69384765625}, {"start": 231.51, "end": 231.89, "word": " population", "probability": 0.9443359375}, {"start": 231.89, "end": 232.23, "word": " mean.", "probability": 0.93212890625}, {"start": 232.95, "end": 233.21, "word": " It", "probability": 0.9375}, {"start": 233.21, "end": 233.53, "word": " says", "probability": 0.87744140625}, {"start": 233.53, "end": 233.87, "word": " that", "probability": 0.65283203125}, {"start": 233.87, "end": 234.75, "word": " 99", "probability": 0.927734375}, {"start": 234.75, "end": 235.37, "word": "%", "probability": 0.98486328125}, {"start": 235.37, "end": 235.55, "word": " of", "probability": 0.96630859375}, {"start": 235.55, "end": 235.81, "word": " them", "probability": 0.82470703125}, {"start": 235.81, "end": 236.03, "word": " of", "probability": 0.5634765625}, {"start": 236.03, "end": 236.25, "word": " these", "probability": 0.697265625}, {"start": 236.25, "end": 236.81, "word": " intervals", "probability": 0.869140625}, {"start": 236.81, "end": 237.89, "word": " would", "probability": 0.767578125}, {"start": 237.89, "end": 238.29, "word": " include", "probability": 0.82666015625}, {"start": 238.29, "end": 238.59, "word": " the", "probability": 0.9052734375}, {"start": 238.59, "end": 238.81, "word": " true", "probability": 0.97265625}, {"start": 238.81, "end": 239.35, "word": " population", "probability": 0.9443359375}, {"start": 239.35, "end": 239.73, "word": " mean", "probability": 0.96484375}, {"start": 239.73, "end": 240.45, "word": " somewhere", "probability": 0.8916015625}, {"start": 240.45, "end": 240.79, "word": " within", "probability": 0.9150390625}, {"start": 240.79, "end": 241.05, "word": " their", "probability": 0.9453125}, {"start": 241.05, "end": 241.37, "word": " interval.", "probability": 0.955078125}, {"start": 242.41, "end": 243.09, "word": " It's", "probability": 0.595947265625}, {"start": 243.09, "end": 243.37, "word": " correct.", "probability": 0.9130859375}, {"start": 243.57, "end": 243.75, "word": " Why", "probability": 0.8837890625}, {"start": 243.75, "end": 244.11, "word": " false?", "probability": 0.86669921875}, {"start": 244.87, "end": 245.25, "word": " Why", "probability": 0.89501953125}, {"start": 245.25, "end": 245.37, "word": " is", "probability": 0.92919921875}, {"start": 245.37, "end": 245.49, "word": " it", "probability": 0.9404296875}, {"start": 245.49, "end": 245.81, "word": " false?", "probability": 0.93359375}], "temperature": 1.0}, {"id": 10, "seek": 27477, "start": 247.62, "end": 274.78, "text": " This is correct answer, because it's mentioned that 99% of these confidence intervals will contain the true population mean somewhere within their interval. So A is correct. Let's look at B. 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Again, it's mentioned that 99% confidence that we have selected sample whose interval does include. So it's correct. So C is both of the above and D none of the above. So C is the correct answer. So sometimes maybe there is only one answer. Maybe in other problems, it might be two answers are correct. So for this one, B and C.", "tokens": [2743, 11, 341, 472, 307, 3006, 13, 3764, 11, 309, 311, 2835, 300, 11803, 4, 6687, 300, 321, 362, 8209, 6889, 6104, 15035, 775, 4090, 13, 407, 309, 311, 3006, 13, 407, 383, 307, 1293, 295, 264, 3673, 293, 413, 6022, 295, 264, 3673, 13, 407, 383, 307, 264, 3006, 1867, 13, 407, 2171, 1310, 456, 307, 787, 472, 1867, 13, 2704, 294, 661, 2740, 11, 309, 1062, 312, 732, 6338, 366, 3006, 13, 407, 337, 341, 472, 11, 363, 293, 383, 13], "avg_logprob": -0.20107887064417204, "compression_ratio": 1.679245283018868, "no_speech_prob": 0.0, "words": [{"start": 275.94, "end": 276.46, "word": " Also,", "probability": 0.755859375}, {"start": 276.72, "end": 277.04, "word": " this", "probability": 0.94287109375}, {"start": 277.04, "end": 277.3, "word": " one", "probability": 0.9326171875}, {"start": 277.3, "end": 277.46, "word": " is", "probability": 0.94482421875}, {"start": 277.46, "end": 277.8, "word": " correct.", "probability": 0.8681640625}, {"start": 278.86, 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Number three, which of the following is not true about the student's T distribution? Here, we are talking about the not true statement about the student T distribution, A. 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That's correct because we mentioned last time that T distribution, the tail is fatter than the Z normal. So that means it has more data in the tails and less data in the center. So that's correct.", "tokens": [293, 1570, 294, 264, 3056, 813, 775, 264, 2710, 7316, 13, 663, 311, 3006, 570, 321, 2835, 1036, 565, 300, 314, 7316, 11, 264, 6838, 307, 283, 1161, 813, 264, 1176, 2710, 13, 407, 300, 1355, 309, 575, 544, 1412, 294, 264, 28537, 293, 1570, 1412, 294, 264, 3056, 13, 407, 300, 311, 3006, 13], "avg_logprob": -0.18136160980377877, "compression_ratio": 1.7465753424657535, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 332.98, "end": 333.34, "word": " and", "probability": 0.334716796875}, {"start": 333.34, "end": 333.62, "word": " less", "probability": 0.900390625}, {"start": 333.62, "end": 333.84, "word": " in", "probability": 0.93115234375}, {"start": 333.84, "end": 334.02, "word": " the", "probability": 0.92236328125}, {"start": 334.02, "end": 334.36, "word": " center", "probability": 0.91845703125}, {"start": 334.36, "end": 334.88, "word": " than", "probability": 0.82373046875}, {"start": 334.88, "end": 335.18, "word": " does", "probability": 0.85791015625}, {"start": 335.18, "end": 335.44, "word": " the", "probability": 0.8935546875}, {"start": 335.44, "end": 335.78, "word": " normal", "probability": 0.87548828125}, {"start": 335.78, "end": 336.48, "word": " distribution.", "probability": 0.83203125}, {"start": 336.66, "end": 336.88, "word": " That's", "probability": 0.862060546875}, {"start": 336.88, "end": 337.18, "word": " correct", "probability": 0.90771484375}, {"start": 337.18, "end": 337.68, "word": " because", "probability": 0.64111328125}, {"start": 337.68, "end": 338.32, "word": " we", "probability": 0.8828125}, {"start": 338.32, "end": 338.58, "word": " mentioned", "probability": 0.84130859375}, {"start": 338.58, "end": 338.86, "word": " last", "probability": 0.85888671875}, {"start": 338.86, "end": 339.26, "word": " time", "probability": 0.88818359375}, {"start": 339.26, "end": 339.92, "word": " that", "probability": 0.875}, {"start": 339.92, "end": 340.68, "word": " T", "probability": 0.30517578125}, {"start": 340.68, "end": 341.3, "word": " distribution,", "probability": 0.69482421875}, {"start": 341.74, "end": 341.88, "word": " the", "probability": 0.8857421875}, {"start": 341.88, "end": 342.3, "word": " tail", "probability": 0.8056640625}, {"start": 342.3, "end": 343.54, "word": " is", "probability": 0.5791015625}, {"start": 343.54, "end": 344.16, "word": " fatter", "probability": 0.8828125}, {"start": 344.16, "end": 344.64, "word": " than", "probability": 0.94140625}, {"start": 344.64, "end": 345.5, "word": " the", "probability": 0.89404296875}, {"start": 345.5, "end": 345.64, "word": " Z", "probability": 0.8095703125}, {"start": 345.64, "end": 346.02, "word": " normal.", "probability": 0.7548828125}, {"start": 346.38, "end": 346.48, "word": " So", "probability": 0.88623046875}, {"start": 346.48, "end": 346.7, "word": " that", "probability": 0.86376953125}, {"start": 346.7, "end": 346.92, "word": " means", "probability": 0.93359375}, {"start": 346.92, "end": 347.08, "word": " it", "probability": 0.9248046875}, {"start": 347.08, "end": 347.3, "word": " has", "probability": 0.94189453125}, {"start": 347.3, "end": 347.58, "word": " more", "probability": 0.939453125}, {"start": 347.58, "end": 348.0, "word": " data", "probability": 0.94384765625}, {"start": 348.0, "end": 348.56, "word": " in", "probability": 0.94140625}, {"start": 348.56, "end": 348.7, "word": " the", "probability": 0.92529296875}, {"start": 348.7, "end": 349.06, "word": " tails", "probability": 0.8056640625}, {"start": 349.06, "end": 349.68, "word": " and", "probability": 0.83642578125}, {"start": 349.68, "end": 349.98, "word": " less", "probability": 0.9326171875}, {"start": 349.98, "end": 350.36, "word": " data", "probability": 0.9267578125}, {"start": 350.36, "end": 350.54, "word": " in", "probability": 0.943359375}, {"start": 350.54, "end": 350.7, "word": " the", "probability": 0.91943359375}, {"start": 350.7, "end": 350.96, "word": " center.", "probability": 0.90771484375}, {"start": 351.88, "end": 352.1, "word": " So", "probability": 0.95458984375}, {"start": 352.1, "end": 352.34, "word": " that's", "probability": 0.948486328125}, {"start": 352.34, "end": 352.72, "word": " correct.", "probability": 0.900390625}], "temperature": 1.0}, {"id": 14, "seek": 38326, "start": 358.0, "end": 383.26, "text": " It is used to construct confidence intervals for the population mean when the population standard deviation is known. No, we use z instead of t, so this one is incorrect about t. It is well-shaped and symmetrical, so that's true, so we are looking for the incorrect statement. 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That's true. So which one? P. So P is incorrect. So number four. Extra. Can you explain the average total compensation of CEOs in the service industry? 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Which of the following interpretations is correct? Part number A.", "tokens": [23399, 4, 6687, 15035, 390, 15598, 281, 312, 1848, 11205, 16, 11, 1848, 17, 4550, 11, 1848, 20419, 11309, 11, 293, 1848, 37078, 13, 3013, 295, 264, 3480, 37547, 307, 3006, 30, 4100, 1230, 316, 13], "avg_logprob": -0.29919763191326243, "compression_ratio": 1.1382113821138211, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 416.36, "end": 416.82, "word": " 97", "probability": 0.40966796875}, {"start": 416.82, "end": 417.48, "word": "%", "probability": 0.6455078125}, {"start": 417.48, "end": 418.02, "word": " confidence", "probability": 0.92578125}, {"start": 418.02, "end": 418.72, "word": " interval", "probability": 0.962890625}, {"start": 418.72, "end": 419.8, "word": " was", "probability": 0.86279296875}, {"start": 419.8, "end": 420.5, "word": " calculated", "probability": 0.9560546875}, {"start": 420.5, "end": 421.2, "word": " to", "probability": 0.94482421875}, {"start": 421.2, "end": 421.7, "word": " be", "probability": 0.9443359375}, {"start": 421.7, "end": 426.04, "word": " $281,", "probability": 0.4589436848958333}, {"start": 427.04, "end": 429.02, "word": " $260,", "probability": 0.7288411458333334}, {"start": 430.06, "end": 433.78, "word": " $5836,", "probability": 0.7646484375}, {"start": 434.8, "end": 435.02, "word": " and", "probability": 0.8427734375}, {"start": 435.02, "end": 436.0, "word": " $180.", "probability": 0.928955078125}, {"start": 437.22, "end": 437.6, "word": " Which", "probability": 0.8525390625}, {"start": 437.6, "end": 437.88, "word": " of", "probability": 0.95703125}, {"start": 437.88, "end": 438.12, "word": " the", "probability": 0.91845703125}, {"start": 438.12, "end": 438.5, "word": " following", "probability": 0.82373046875}, {"start": 438.5, "end": 439.3, "word": " interpretations", "probability": 0.8291015625}, {"start": 439.3, "end": 440.0, "word": " is", "probability": 0.93505859375}, {"start": 440.0, "end": 440.52, "word": " correct?", "probability": 0.8837890625}, {"start": 442.56, "end": 443.06, "word": " Part", "probability": 0.7109375}, {"start": 443.06, "end": 443.36, "word": " number", "probability": 0.93212890625}, {"start": 443.36, "end": 443.6, "word": " A.", "probability": 0.5556640625}], "temperature": 1.0}, {"id": 17, "seek": 47207, "start": 444.37, "end": 472.07, "text": " It says 97% of the sample data compensation value between these two values, correct or incorrect statement. Because it says 97% of the sample data. For the confidence center value, we are looking for the average, not for the population, not for the sample. So A is incorrect.", "tokens": [467, 1619, 23399, 4, 295, 264, 6889, 1412, 19644, 2158, 1296, 613, 732, 4190, 11, 3006, 420, 18424, 5629, 13, 1436, 309, 1619, 23399, 4, 295, 264, 6889, 1412, 13, 1171, 264, 6687, 3056, 2158, 11, 321, 366, 1237, 337, 264, 4274, 11, 406, 337, 264, 4415, 11, 406, 337, 264, 6889, 13, 407, 316, 307, 18424, 13], "avg_logprob": -0.18008475081395295, "compression_ratio": 1.6932515337423313, "no_speech_prob": 0.0, "words": [{"start": 444.37, "end": 444.65, "word": " It", "probability": 0.5625}, {"start": 444.65, "end": 445.15, "word": " says", "probability": 0.8681640625}, {"start": 445.15, "end": 445.91, "word": " 97", "probability": 0.83935546875}, {"start": 445.91, "end": 446.67, "word": "%", "probability": 0.904296875}, {"start": 446.67, "end": 447.09, "word": " of", "probability": 0.93212890625}, {"start": 447.09, "end": 447.31, "word": " the", "probability": 0.91748046875}, {"start": 447.31, "end": 447.61, "word": " sample", "probability": 0.82080078125}, {"start": 447.61, "end": 448.31, "word": " data", "probability": 0.92724609375}, {"start": 448.31, "end": 449.79, "word": " compensation", "probability": 0.352294921875}, {"start": 449.79, "end": 450.41, "word": " value", "probability": 0.978515625}, {"start": 450.41, "end": 451.93, "word": " between", "probability": 0.85888671875}, {"start": 451.93, "end": 452.29, "word": " these", "probability": 0.85888671875}, {"start": 452.29, "end": 452.45, "word": " two", "probability": 0.921875}, {"start": 452.45, "end": 452.85, "word": " values,", "probability": 0.97314453125}, {"start": 454.27, "end": 454.79, "word": " correct", "probability": 0.91259765625}, {"start": 454.79, "end": 455.03, "word": " or", "probability": 0.9658203125}, {"start": 455.03, "end": 455.47, "word": " incorrect", "probability": 0.9482421875}, {"start": 455.47, "end": 455.91, "word": " statement.", "probability": 0.92236328125}, {"start": 456.49, "end": 457.07, "word": " Because", "probability": 0.9306640625}, {"start": 457.07, "end": 457.31, "word": " it", "probability": 0.939453125}, {"start": 457.31, "end": 457.67, "word": " says", "probability": 0.880859375}, {"start": 457.67, "end": 458.97, "word": " 97", "probability": 0.93994140625}, {"start": 458.97, "end": 459.47, "word": "%", "probability": 0.99560546875}, {"start": 459.47, "end": 461.05, "word": " of", "probability": 0.96630859375}, {"start": 461.05, "end": 461.29, "word": " the", "probability": 0.923828125}, {"start": 461.29, "end": 461.61, "word": " sample", "probability": 0.8779296875}, {"start": 461.61, "end": 462.71, "word": " data.", "probability": 0.91845703125}, {"start": 463.59, "end": 463.83, "word": " For", "probability": 0.94921875}, {"start": 463.83, "end": 463.99, "word": " the", "probability": 0.89404296875}, {"start": 463.99, "end": 464.31, "word": " confidence", "probability": 0.5908203125}, {"start": 464.31, "end": 464.71, "word": " center", "probability": 0.76806640625}, {"start": 464.71, "end": 464.93, "word": " value,", "probability": 0.7158203125}, {"start": 465.03, "end": 465.11, "word": " we", "probability": 0.9140625}, {"start": 465.11, "end": 465.21, "word": " are", "probability": 0.931640625}, {"start": 465.21, "end": 465.51, "word": " looking", "probability": 0.9140625}, {"start": 465.51, "end": 466.03, "word": " for", "probability": 0.94775390625}, {"start": 466.03, "end": 466.77, "word": " the", "probability": 0.8095703125}, {"start": 466.77, "end": 467.21, "word": " average,", "probability": 0.76953125}, {"start": 468.15, "end": 468.31, "word": " not", "probability": 0.7177734375}, {"start": 468.31, "end": 468.51, "word": " for", "probability": 0.94775390625}, {"start": 468.51, "end": 468.67, "word": " the", "probability": 0.91455078125}, {"start": 468.67, "end": 469.83, "word": " population,", "probability": 0.8232421875}, {"start": 470.01, "end": 470.11, "word": " not", "probability": 0.93017578125}, {"start": 470.11, "end": 470.27, "word": " for", "probability": 0.94287109375}, {"start": 470.27, "end": 470.41, "word": " the", "probability": 0.923828125}, {"start": 470.41, "end": 470.69, "word": " sample.", "probability": 0.89453125}, {"start": 471.13, "end": 471.39, "word": " So", "probability": 0.966796875}, {"start": 471.39, "end": 471.59, "word": " A", "probability": 0.57861328125}, {"start": 471.59, "end": 471.69, "word": " is", "probability": 0.9375}, {"start": 471.69, "end": 472.07, "word": " incorrect.", "probability": 0.93310546875}], "temperature": 1.0}, {"id": 18, "seek": 50127, "start": 472.85, "end": 501.27, "text": " Because A, it says here 97% of the sampling total. Sample total, we are looking for the average of the population. So A is incorrect statement. B, we are 97% confident that the mean of the sample. So it's false. Because the confidence about the entire population is about the population mean. 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So D is the correct statement. So for the confidence interval, we are looking for population, number one. Number two, the average of that population. So D is the correct answer. Let's go back to part A. In part A, it says sample total. So this is incorrect. Next one. The mean of the sample. We are looking for the mean of the population. So B is incorrect. 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So this one is incorrect. Finally here, we are 97% confident that the average total. So this one is true of all. So here we have population and the average of that population. So it makes sense that this is the correct answer. 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Confidence interval was used to estimate the proportion of statistics students that are females. A random sample of 72 statistics students generated the following 90% confidence interval, 0.438 and 0.640.", "tokens": [5118, 1732, 11, 6687, 15035, 13, 11701, 2778, 15035, 390, 1143, 281, 12539, 264, 16068, 295, 12523, 1731, 300, 366, 21529, 13, 316, 4974, 6889, 295, 18731, 12523, 1731, 10833, 264, 3480, 4289, 4, 6687, 15035, 11, 1958, 13, 19, 12625, 293, 1958, 13, 21, 5254, 13], "avg_logprob": -0.21468098678936562, "compression_ratio": 1.5933333333333333, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 599.69, "end": 600.03, "word": " Number", "probability": 0.61767578125}, {"start": 600.03, "end": 600.37, "word": " five,", "probability": 0.76220703125}, {"start": 600.49, "end": 600.87, "word": " confidence", "probability": 0.662109375}, {"start": 600.87, "end": 601.41, "word": " interval.", "probability": 0.96630859375}, {"start": 602.67, "end": 603.29, "word": " Confidence", "probability": 0.773193359375}, {"start": 603.29, "end": 603.85, "word": " interval", "probability": 0.96484375}, {"start": 603.85, "end": 604.29, "word": " was", "probability": 0.93896484375}, {"start": 604.29, "end": 604.67, "word": " used", "probability": 0.9228515625}, {"start": 604.67, "end": 604.93, "word": " to", "probability": 0.95751953125}, {"start": 604.93, "end": 605.35, "word": " estimate", "probability": 0.91064453125}, {"start": 605.35, "end": 605.71, "word": " the", "probability": 0.8828125}, {"start": 605.71, "end": 606.35, "word": " proportion", "probability": 0.83740234375}, {"start": 606.35, "end": 606.61, "word": " of", "probability": 0.9677734375}, {"start": 606.61, "end": 607.27, "word": " statistics", "probability": 0.62939453125}, {"start": 607.27, "end": 607.83, "word": " students", "probability": 0.76904296875}, {"start": 607.83, "end": 608.15, "word": " that", "probability": 0.904296875}, {"start": 608.15, "end": 608.47, "word": " are", "probability": 0.94384765625}, {"start": 608.47, "end": 609.17, "word": " females.", "probability": 0.92822265625}, {"start": 609.81, "end": 609.95, "word": " A", "probability": 0.6845703125}, {"start": 609.95, "end": 610.17, "word": " random", "probability": 0.85498046875}, {"start": 610.17, "end": 610.55, "word": " sample", "probability": 0.73291015625}, {"start": 610.55, "end": 610.95, "word": " of", "probability": 0.96875}, {"start": 610.95, "end": 612.79, "word": " 72", "probability": 0.6240234375}, {"start": 612.79, "end": 614.25, "word": " statistics", "probability": 0.86083984375}, {"start": 614.25, "end": 614.85, "word": " students", "probability": 0.84375}, {"start": 614.85, "end": 615.77, "word": " generated", "probability": 0.8642578125}, {"start": 615.77, "end": 616.17, "word": " the", "probability": 0.8505859375}, {"start": 616.17, "end": 616.49, "word": " following", "probability": 0.865234375}, {"start": 616.49, "end": 617.11, "word": " 90", "probability": 0.84033203125}, {"start": 617.11, "end": 617.49, "word": "%", "probability": 0.90283203125}, {"start": 617.49, "end": 617.99, "word": " confidence", "probability": 0.97216796875}, {"start": 617.99, "end": 618.61, "word": " interval,", "probability": 0.9501953125}, {"start": 619.39, "end": 619.71, "word": " 0", "probability": 0.359619140625}, {"start": 619.71, "end": 622.97, "word": ".438", "probability": 0.93505859375}, {"start": 622.97, "end": 624.21, "word": " and", "probability": 0.43505859375}, {"start": 624.21, "end": 624.97, "word": " 0", "probability": 0.873046875}, {"start": 624.97, "end": 628.15, "word": ".640.", "probability": 0.7085774739583334}], "temperature": 1.0}, {"id": 23, "seek": 65335, "start": 628.51, "end": 653.35, "text": " 42, based on the interval above the population proportion of females equals to 0.6. So here we have confidence interval for the female proportion ranges between 0.438 up to 0.642. Based on this interval.", "tokens": [14034, 11, 2361, 322, 264, 15035, 3673, 264, 4415, 16068, 295, 21529, 6915, 281, 1958, 13, 21, 13, 407, 510, 321, 362, 6687, 15035, 337, 264, 6556, 16068, 22526, 1296, 1958, 13, 19, 12625, 493, 281, 1958, 13, 21, 15628, 13, 18785, 322, 341, 15035, 13], "avg_logprob": -0.2337101108216225, "compression_ratio": 1.5, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 628.51, "end": 628.97, "word": " 42,", "probability": 0.267578125}, {"start": 629.51, "end": 630.03, "word": " based", "probability": 0.84228515625}, {"start": 630.03, "end": 630.21, "word": " on", "probability": 0.947265625}, {"start": 630.21, "end": 630.35, "word": " the", "probability": 0.91845703125}, {"start": 630.35, "end": 630.69, "word": " interval", "probability": 0.87939453125}, {"start": 630.69, "end": 631.23, "word": " above", "probability": 0.93603515625}, {"start": 631.23, "end": 631.67, "word": " the", "probability": 0.83056640625}, {"start": 631.67, "end": 632.89, "word": " population", "probability": 0.93896484375}, {"start": 632.89, "end": 633.59, "word": " proportion", "probability": 0.82275390625}, {"start": 633.59, "end": 634.21, "word": " of", "probability": 0.890625}, {"start": 634.21, "end": 634.63, "word": " females", "probability": 0.92919921875}, {"start": 634.63, "end": 635.19, "word": " equals", "probability": 0.84814453125}, {"start": 635.19, "end": 636.13, "word": " to", "probability": 0.8232421875}, {"start": 636.13, "end": 636.85, "word": " 0", "probability": 0.3525390625}, {"start": 636.85, "end": 637.57, "word": ".6.", "probability": 0.957275390625}, {"start": 637.71, "end": 637.87, "word": " So", "probability": 0.58349609375}, {"start": 637.87, "end": 638.09, "word": " here", "probability": 0.75439453125}, {"start": 638.09, "end": 638.23, "word": " we", "probability": 0.79541015625}, {"start": 638.23, "end": 638.65, "word": " have", "probability": 0.93701171875}, {"start": 638.65, "end": 639.65, "word": " confidence", "probability": 0.478759765625}, {"start": 639.65, "end": 640.09, "word": " interval", "probability": 0.955078125}, {"start": 640.09, "end": 642.01, "word": " for", "probability": 0.8369140625}, {"start": 642.01, "end": 642.15, "word": " the", "probability": 0.916015625}, {"start": 642.15, "end": 643.63, "word": " female", "probability": 0.85205078125}, {"start": 643.63, "end": 644.31, "word": " proportion", "probability": 0.81494140625}, {"start": 644.31, "end": 646.11, "word": " ranges", "probability": 0.38330078125}, {"start": 646.11, "end": 646.65, "word": " between", "probability": 0.86083984375}, {"start": 646.65, "end": 647.55, "word": " 0", "probability": 0.96923828125}, {"start": 647.55, "end": 648.25, "word": ".438", "probability": 0.8951822916666666}, {"start": 648.25, "end": 649.41, "word": " up", "probability": 0.96044921875}, {"start": 649.41, "end": 649.53, "word": " to", "probability": 0.9560546875}, {"start": 649.53, "end": 649.73, "word": " 0", "probability": 0.97900390625}, {"start": 649.73, "end": 650.49, "word": ".642.", "probability": 0.9627278645833334}, {"start": 651.51, "end": 651.93, "word": " Based", "probability": 0.2403564453125}, {"start": 651.93, "end": 652.75, "word": " on", "probability": 0.94873046875}, {"start": 652.75, "end": 652.99, "word": " this", "probability": 0.92041015625}, {"start": 652.99, "end": 653.35, "word": " interval.", "probability": 0.96337890625}], "temperature": 1.0}, {"id": 24, "seek": 68093, "start": 654.21, "end": 680.93, "text": " Is the population proportion of females equal 60%? So here we have from this point all the way up to 0.6. Is the population proportion of females equal to 0.6? No. The answer is no, but know what? Number A. No, and we are 90% sure of it.", "tokens": [1119, 264, 4415, 16068, 295, 21529, 2681, 4060, 4, 30, 407, 510, 321, 362, 490, 341, 935, 439, 264, 636, 493, 281, 1958, 13, 21, 13, 1119, 264, 4415, 16068, 295, 21529, 2681, 281, 1958, 13, 21, 30, 883, 13, 440, 1867, 307, 572, 11, 457, 458, 437, 30, 5118, 316, 13, 883, 11, 293, 321, 366, 4289, 4, 988, 295, 309, 13], "avg_logprob": -0.20629883324727416, "compression_ratio": 1.5454545454545454, "no_speech_prob": 0.0, "words": [{"start": 654.21, "end": 654.55, "word": " Is", "probability": 0.6005859375}, {"start": 654.55, "end": 654.69, "word": " the", "probability": 0.88330078125}, {"start": 654.69, "end": 655.11, "word": " population", "probability": 0.88671875}, {"start": 655.11, "end": 655.65, "word": " proportion", "probability": 0.7744140625}, {"start": 655.65, "end": 656.37, "word": " of", "probability": 0.951171875}, {"start": 656.37, "end": 657.05, "word": " females", "probability": 0.8779296875}, {"start": 657.05, "end": 657.51, "word": " equal", "probability": 0.708984375}, {"start": 657.51, "end": 658.29, "word": " 60", "probability": 0.480712890625}, {"start": 658.29, "end": 658.77, "word": "%?", "probability": 0.86083984375}, {"start": 663.41, "end": 664.01, "word": " So", "probability": 0.73779296875}, {"start": 664.01, "end": 664.19, "word": " here", "probability": 0.7509765625}, {"start": 664.19, "end": 664.33, "word": " we", "probability": 0.8798828125}, {"start": 664.33, "end": 664.57, "word": " have", "probability": 0.93896484375}, {"start": 664.57, "end": 664.95, "word": " from", "probability": 0.7998046875}, {"start": 664.95, "end": 665.37, "word": " this", "probability": 0.939453125}, {"start": 665.37, "end": 665.77, "word": " point", "probability": 0.95849609375}, {"start": 665.77, "end": 666.09, "word": " all", "probability": 0.818359375}, {"start": 666.09, "end": 666.25, "word": " the", "probability": 0.9111328125}, {"start": 666.25, "end": 666.39, "word": " way", "probability": 0.9541015625}, {"start": 666.39, "end": 666.55, "word": " up", "probability": 0.92041015625}, {"start": 666.55, "end": 666.69, "word": " to", "probability": 0.9599609375}, {"start": 666.69, "end": 666.91, "word": " 0", "probability": 0.37646484375}, {"start": 666.91, "end": 667.31, "word": ".6.", "probability": 0.98486328125}, {"start": 668.03, "end": 668.29, "word": " Is", "probability": 0.95947265625}, {"start": 668.29, "end": 668.47, "word": " the", "probability": 0.91015625}, {"start": 668.47, "end": 668.87, "word": " population", "probability": 0.93994140625}, {"start": 668.87, "end": 669.47, "word": " proportion", "probability": 0.8525390625}, {"start": 669.47, "end": 669.73, "word": " of", "probability": 0.9638671875}, {"start": 669.73, "end": 670.13, "word": " females", "probability": 0.92041015625}, {"start": 670.13, "end": 670.61, "word": " equal", "probability": 0.9111328125}, {"start": 670.61, "end": 670.83, "word": " to", "probability": 0.8271484375}, {"start": 670.83, "end": 670.99, "word": " 0", "probability": 0.96337890625}, {"start": 670.99, "end": 671.41, "word": ".6?", "probability": 0.998779296875}, {"start": 673.05, "end": 673.65, "word": " No.", "probability": 0.71484375}, {"start": 674.41, "end": 674.67, "word": " The", "probability": 0.853515625}, {"start": 674.67, "end": 674.93, "word": " answer", "probability": 0.953125}, {"start": 674.93, "end": 675.19, "word": " is", "probability": 0.94921875}, {"start": 675.19, "end": 675.45, "word": " no,", "probability": 0.7412109375}, {"start": 675.51, "end": 675.69, "word": " but", "probability": 0.923828125}, {"start": 675.69, "end": 675.95, "word": " know", "probability": 0.43408203125}, {"start": 675.95, "end": 676.25, "word": " what?", "probability": 0.9521484375}, {"start": 676.85, "end": 677.09, "word": " Number", "probability": 0.67431640625}, {"start": 677.09, "end": 677.27, "word": " A.", "probability": 0.50341796875}, {"start": 677.91, "end": 678.33, "word": " No,", "probability": 0.82080078125}, {"start": 678.47, "end": 678.71, "word": " and", "probability": 0.92578125}, {"start": 678.71, "end": 678.87, "word": " we", "probability": 0.9521484375}, {"start": 678.87, "end": 679.05, "word": " are", "probability": 0.845703125}, {"start": 679.05, "end": 679.51, "word": " 90", "probability": 0.888671875}, {"start": 679.51, "end": 680.25, "word": "%", "probability": 0.95263671875}, {"start": 680.25, "end": 680.57, "word": " sure", "probability": 0.486328125}, {"start": 680.57, "end": 680.71, "word": " of", "probability": 0.93212890625}, {"start": 680.71, "end": 680.93, "word": " it.", "probability": 0.88232421875}], "temperature": 1.0}, {"id": 25, "seek": 70490, "start": 683.64, "end": 704.9, "text": " No, the proportion is 54.17. See, maybe 60% is a believable value of population proportion based on information about it. He said yes, and we are 90% sure of it. So which one is correct? Farah. Which one is correct?", "tokens": [883, 11, 264, 16068, 307, 20793, 13, 7773, 13, 3008, 11, 1310, 4060, 4, 307, 257, 1351, 17915, 2158, 295, 4415, 16068, 2361, 322, 1589, 466, 309, 13, 634, 848, 2086, 11, 293, 321, 366, 4289, 4, 988, 295, 309, 13, 407, 597, 472, 307, 3006, 30, 9067, 545, 13, 3013, 472, 307, 3006, 30], "avg_logprob": -0.21679687313735485, "compression_ratio": 1.411764705882353, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 683.64, "end": 684.06, "word": " No,", "probability": 0.5673828125}, {"start": 684.2, "end": 684.32, "word": " the", "probability": 0.8955078125}, {"start": 684.32, "end": 684.8, "word": " proportion", "probability": 0.79345703125}, {"start": 684.8, "end": 685.22, "word": " is", "probability": 0.9443359375}, {"start": 685.22, "end": 685.88, "word": " 54", "probability": 0.95703125}, {"start": 685.88, "end": 686.78, "word": ".17.", "probability": 0.960693359375}, {"start": 688.14, "end": 688.74, "word": " See,", "probability": 0.4384765625}, {"start": 689.24, "end": 689.64, "word": " maybe", "probability": 0.9228515625}, {"start": 689.64, "end": 690.34, "word": " 60", "probability": 0.85302734375}, {"start": 690.34, "end": 690.58, "word": "%", "probability": 0.833984375}, {"start": 690.58, "end": 691.04, "word": " is", "probability": 0.94384765625}, {"start": 691.04, "end": 691.2, "word": " a", "probability": 0.96044921875}, {"start": 691.2, "end": 691.62, "word": " believable", "probability": 0.905029296875}, {"start": 691.62, "end": 692.08, "word": " value", "probability": 0.89794921875}, {"start": 692.08, "end": 692.32, "word": " of", "probability": 0.52197265625}, {"start": 692.32, "end": 692.76, "word": " population", "probability": 0.8779296875}, {"start": 692.76, "end": 693.24, "word": " proportion", "probability": 0.82861328125}, {"start": 693.24, "end": 693.62, "word": " based", "probability": 0.8115234375}, {"start": 693.62, "end": 693.76, "word": " on", "probability": 0.9228515625}, {"start": 693.76, "end": 694.26, "word": " information", "probability": 0.434814453125}, {"start": 694.26, "end": 694.62, "word": " about", "probability": 0.85498046875}, {"start": 694.62, "end": 694.94, "word": " it.", "probability": 0.603515625}, {"start": 695.74, "end": 695.96, "word": " He", "probability": 0.5830078125}, {"start": 695.96, "end": 696.24, "word": " said", "probability": 0.29150390625}, {"start": 696.24, "end": 696.58, "word": " yes,", "probability": 0.673828125}, {"start": 696.72, "end": 696.92, "word": " and", "probability": 0.92919921875}, {"start": 696.92, "end": 697.1, "word": " we", "probability": 0.92724609375}, {"start": 697.1, "end": 697.32, "word": " are", "probability": 0.853515625}, {"start": 697.32, "end": 697.66, "word": " 90", "probability": 0.95654296875}, {"start": 697.66, "end": 698.08, "word": "%", "probability": 0.97802734375}, {"start": 698.08, "end": 698.38, "word": " sure", "probability": 0.89990234375}, {"start": 698.38, "end": 698.54, "word": " of", "probability": 0.7763671875}, {"start": 698.54, "end": 698.68, "word": " it.", "probability": 0.90625}, {"start": 698.96, "end": 699.18, "word": " So", "probability": 0.8974609375}, {"start": 699.18, "end": 699.4, "word": " which", "probability": 0.8134765625}, {"start": 699.4, "end": 699.62, "word": " one", "probability": 0.9326171875}, {"start": 699.62, "end": 699.82, "word": " is", "probability": 0.943359375}, {"start": 699.82, "end": 700.22, "word": " correct?", "probability": 0.89892578125}, {"start": 702.58, "end": 703.26, "word": " Farah.", "probability": 0.7294921875}, {"start": 704.02, "end": 704.3, "word": " Which", "probability": 0.82666015625}, {"start": 704.3, "end": 704.46, "word": " one", "probability": 0.92724609375}, {"start": 704.46, "end": 704.6, "word": " is", "probability": 0.93896484375}, {"start": 704.6, "end": 704.9, "word": " correct?", "probability": 0.89599609375}], "temperature": 1.0}, {"id": 26, "seek": 73906, "start": 710.0, "end": 739.06, "text": " B says the proportion is 54. 54 if we take the average of these two values, the answer is 54. But the true proportion is not the average of the two endpoints. So B is incorrect. If you look at A, the answer is no. 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Now C, maybe. So C is the correct statement, maybe 60% is believable value of the population proportion based on the information about. So C is the correct answer. 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{"start": 831.88, "end": 832.1, "word": " minus", "probability": 0.986328125}, {"start": 832.1, "end": 832.34, "word": " 8", "probability": 0.986328125}, {"start": 832.34, "end": 833.28, "word": "%", "probability": 0.693359375}, {"start": 833.28, "end": 833.72, "word": " using", "probability": 0.732421875}, {"start": 833.72, "end": 834.2, "word": " 95", "probability": 0.98046875}, {"start": 834.2, "end": 834.46, "word": "%", "probability": 0.60546875}, {"start": 834.46, "end": 834.72, "word": " confidence.", "probability": 0.97607421875}], "temperature": 1.0}, {"id": 31, "seek": 86642, "start": 838.64, "end": 866.42, "text": " The formula first, n equals z squared c plus one. We have pi, one minus pi divided by e squared. Now, pi is not given. So in this case either we use a sinus sample in order to estimate the sample proportion,", "tokens": [440, 8513, 700, 11, 297, 6915, 710, 8889, 269, 1804, 472, 13, 492, 362, 3895, 11, 472, 3175, 3895, 6666, 538, 308, 8889, 13, 823, 11, 3895, 307, 406, 2212, 13, 407, 294, 341, 1389, 2139, 321, 764, 257, 41503, 6889, 294, 1668, 281, 12539, 264, 6889, 16068, 11], "avg_logprob": -0.348124994635582, "compression_ratio": 1.4344827586206896, "no_speech_prob": 0.0, "words": [{"start": 838.64, "end": 839.36, "word": " The", "probability": 0.440185546875}, {"start": 839.36, "end": 840.08, "word": " formula", "probability": 0.90234375}, {"start": 840.08, "end": 840.44, "word": " first,", "probability": 0.322998046875}, {"start": 840.54, "end": 840.72, "word": " n", "probability": 0.4892578125}, {"start": 840.72, "end": 841.44, "word": " equals", "probability": 0.70849609375}, {"start": 841.44, "end": 843.36, "word": " z", "probability": 0.72265625}, {"start": 843.36, "end": 843.98, "word": " squared", "probability": 0.7587890625}, {"start": 843.98, "end": 844.98, "word": " c", "probability": 0.1668701171875}, {"start": 844.98, "end": 845.26, "word": " plus", "probability": 0.84619140625}, {"start": 845.26, "end": 845.36, "word": " one.", "probability": 0.513671875}, {"start": 848.74, "end": 849.06, "word": " We", "probability": 0.58203125}, {"start": 849.06, "end": 849.34, "word": " have", "probability": 0.94775390625}, {"start": 849.34, "end": 849.82, "word": " pi,", "probability": 0.3984375}, {"start": 850.6, "end": 851.08, "word": " one", "probability": 0.87353515625}, {"start": 851.08, "end": 851.44, "word": " minus", "probability": 0.98583984375}, {"start": 851.44, "end": 851.76, "word": " pi", "probability": 0.92138671875}, {"start": 851.76, "end": 852.2, "word": " divided", "probability": 0.681640625}, {"start": 852.2, "end": 852.56, "word": " by", "probability": 0.97509765625}, {"start": 852.56, "end": 853.9, "word": " e", "probability": 0.58056640625}, {"start": 853.9, "end": 854.24, "word": " squared.", "probability": 0.79931640625}, {"start": 855.74, "end": 856.04, "word": " Now,", "probability": 0.955078125}, {"start": 856.14, "end": 856.3, "word": " pi", "probability": 0.8798828125}, {"start": 856.3, "end": 856.46, "word": " is", "probability": 0.9404296875}, {"start": 856.46, "end": 856.66, "word": " not", "probability": 0.94677734375}, {"start": 856.66, "end": 856.92, "word": " given.", "probability": 0.890625}, {"start": 859.34, "end": 860.06, "word": " So", "probability": 0.86279296875}, {"start": 860.06, "end": 860.2, "word": " in", "probability": 0.5927734375}, {"start": 860.2, "end": 860.36, "word": " this", "probability": 0.94775390625}, {"start": 860.36, "end": 860.58, "word": " case", "probability": 0.90380859375}, {"start": 860.58, "end": 860.9, "word": " either", "probability": 0.54931640625}, {"start": 860.9, "end": 861.12, "word": " we", "probability": 0.955078125}, {"start": 861.12, "end": 861.56, "word": " use", "probability": 0.88720703125}, {"start": 861.56, "end": 862.5, "word": " a", "probability": 0.83544921875}, {"start": 862.5, "end": 862.74, "word": " sinus", "probability": 0.11285400390625}, {"start": 862.74, "end": 863.12, "word": " sample", "probability": 0.88330078125}, {"start": 863.12, "end": 863.36, "word": " in", "probability": 0.93408203125}, {"start": 863.36, "end": 863.58, "word": " order", "probability": 0.9228515625}, {"start": 863.58, "end": 863.88, "word": " to", "probability": 0.96875}, {"start": 863.88, "end": 864.44, "word": " estimate", "probability": 0.9326171875}, {"start": 864.44, "end": 864.82, "word": " the", "probability": 0.92333984375}, {"start": 864.82, "end": 865.88, "word": " sample", "probability": 0.410888671875}, {"start": 865.88, "end": 866.42, "word": " proportion,", "probability": 0.78955078125}], "temperature": 1.0}, {"id": 32, "seek": 89192, "start": 867.24, "end": 891.92, "text": " Or use Pi to be 0.5. So in this case we have to use Pi 1 half. If you remember last time I gave you this equation. Z alpha over 2 divided by 2 squared. So we have this equation. Because Pi is not given, just use Pi to be 1 half. Or you may use this equation.", "tokens": [1610, 764, 17741, 281, 312, 1958, 13, 20, 13, 407, 294, 341, 1389, 321, 362, 281, 764, 17741, 502, 1922, 13, 759, 291, 1604, 1036, 565, 286, 2729, 291, 341, 5367, 13, 1176, 8961, 670, 568, 6666, 538, 568, 8889, 13, 407, 321, 362, 341, 5367, 13, 1436, 17741, 307, 406, 2212, 11, 445, 764, 17741, 281, 312, 502, 1922, 13, 1610, 291, 815, 764, 341, 5367, 13], "avg_logprob": -0.2323369504748911, "compression_ratio": 1.608695652173913, "no_speech_prob": 0.0, "words": [{"start": 867.24, "end": 867.58, "word": " Or", "probability": 0.65771484375}, {"start": 867.58, "end": 867.88, "word": " use", "probability": 0.74169921875}, {"start": 867.88, "end": 868.1, "word": " Pi", "probability": 0.54931640625}, {"start": 868.1, "end": 868.28, "word": " to", "probability": 0.9501953125}, {"start": 868.28, "end": 868.5, "word": " be", "probability": 0.93408203125}, {"start": 868.5, "end": 869.24, "word": " 0", "probability": 0.671875}, {"start": 869.24, "end": 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In this case, here we are talking about 95%. So what's the value of Z? 196. 2 times E. E is 8%. So 196 divided by 2 times E, the quantity squared. 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So approximately 150. So 150 is the correct answer. So again, here we used pi to be 1 half because P is not given. And simple calculation results in 150 for the sample size. So P is the correct answer, 7.", "tokens": [8451, 13, 407, 10447, 8451, 13, 407, 8451, 307, 264, 3006, 1867, 13, 407, 797, 11, 510, 321, 1143, 3895, 281, 312, 502, 1922, 570, 430, 307, 406, 2212, 13, 400, 2199, 17108, 3542, 294, 8451, 337, 264, 6889, 2744, 13, 407, 430, 307, 264, 3006, 1867, 11, 1614, 13], "avg_logprob": -0.18857231034952052, "compression_ratio": 1.4383561643835616, "no_speech_prob": 0.0, "words": [{"start": 923.22, "end": 923.98, "word": " 150.", "probability": 0.494140625}, {"start": 924.78, "end": 925.54, "word": " So", "probability": 0.93115234375}, {"start": 925.54, "end": 926.1, "word": " approximately", "probability": 0.81396484375}, {"start": 926.1, "end": 928.72, "word": " 150.", "probability": 0.8359375}, {"start": 929.16, "end": 929.46, "word": " So", "probability": 0.91796875}, {"start": 929.46, "end": 929.76, "word": " 150", "probability": 0.869140625}, {"start": 929.76, "end": 930.06, "word": " is", "probability": 0.9462890625}, {"start": 930.06, "end": 930.2, "word": " the", "probability": 0.91162109375}, {"start": 930.2, "end": 930.64, "word": " correct", "probability": 0.9208984375}, {"start": 930.64, "end": 931.7, "word": " answer.", "probability": 0.95849609375}, {"start": 932.34, "end": 932.8, "word": " So", "probability": 0.947265625}, {"start": 932.8, "end": 933.06, "word": " again,", "probability": 0.91650390625}, {"start": 933.28, "end": 933.34, "word": " here", "probability": 0.85595703125}, {"start": 933.34, "end": 933.52, "word": " we", "probability": 0.84375}, {"start": 933.52, "end": 933.9, "word": " used", "probability": 0.77490234375}, {"start": 933.9, "end": 935.32, "word": " pi", "probability": 0.755859375}, {"start": 935.32, "end": 936.26, "word": " to", "probability": 0.9541015625}, {"start": 936.26, "end": 936.5, "word": " be", "probability": 0.93212890625}, {"start": 936.5, "end": 936.9, "word": " 1", "probability": 0.6396484375}, {"start": 936.9, "end": 937.16, "word": " half", "probability": 0.007434844970703125}, {"start": 937.16, "end": 937.54, "word": " because", "probability": 0.6337890625}, {"start": 937.54, "end": 938.46, "word": " P", "probability": 0.3466796875}, {"start": 938.46, "end": 938.6, "word": " is", "probability": 0.9462890625}, {"start": 938.6, "end": 938.78, "word": " not", "probability": 0.94677734375}, {"start": 938.78, "end": 939.02, "word": " given.", "probability": 0.9052734375}, {"start": 941.06, "end": 941.46, "word": " And", "probability": 0.9453125}, {"start": 941.46, "end": 941.94, "word": " simple", "probability": 0.9013671875}, {"start": 941.94, "end": 942.48, "word": " calculation", "probability": 0.91064453125}, {"start": 942.48, "end": 943.94, "word": " results", "probability": 0.916015625}, {"start": 943.94, "end": 945.02, "word": " in", "probability": 0.9150390625}, {"start": 945.02, "end": 945.62, "word": " 150", "probability": 0.89404296875}, {"start": 945.62, "end": 946.2, "word": " for", "probability": 0.921875}, {"start": 946.2, "end": 946.34, "word": " the", "probability": 0.73046875}, {"start": 946.34, "end": 946.58, "word": " sample", "probability": 0.85546875}, {"start": 946.58, "end": 946.96, "word": " size.", "probability": 0.8447265625}, {"start": 947.3, "end": 947.6, "word": " So", "probability": 0.96630859375}, {"start": 947.6, "end": 947.8, "word": " P", "probability": 0.67822265625}, {"start": 947.8, "end": 948.02, "word": " is", "probability": 0.9501953125}, {"start": 948.02, "end": 948.18, "word": " the", "probability": 0.91162109375}, {"start": 948.18, "end": 948.52, "word": " correct", "probability": 0.90673828125}, {"start": 948.52, "end": 948.98, "word": " answer,", "probability": 0.9580078125}, {"start": 949.54, "end": 949.82, "word": " 7.", "probability": 0.5009765625}], "temperature": 1.0}, {"id": 35, "seek": 97796, "start": 955.22, "end": 977.96, "text": " Number seven. Number seven. When determining the sample size necessarily for estimating the true population mean, which factor is not considered when sampling with replacement? 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Now, the population size, the population size is not in this quantity, so A is the correct answer. B, the population standard deviation, sigma is here. C, the level of confidence desired in the estimate, we have Z.", "tokens": [823, 11, 597, 5952, 307, 406, 4888, 562, 21179, 1553, 3364, 14419, 30, 823, 11, 264, 4415, 2744, 11, 264, 4415, 2744, 307, 406, 294, 341, 11275, 11, 370, 316, 307, 264, 3006, 1867, 13, 363, 11, 264, 4415, 3832, 25163, 11, 12771, 307, 510, 13, 383, 11, 264, 1496, 295, 6687, 14721, 294, 264, 12539, 11, 321, 362, 1176, 13], "avg_logprob": -0.22316028562284285, "compression_ratio": 1.6010928961748634, "no_speech_prob": 0.0, "words": [{"start": 998.82, "end": 999.34, "word": " Now,", "probability": 0.066650390625}, {"start": 1000.68, "end": 1000.88, "word": " which", "probability": 0.865234375}, {"start": 1000.88, "end": 1001.5, "word": " factor", "probability": 0.8154296875}, {"start": 1001.5, "end": 1001.92, "word": " is", "probability": 0.93017578125}, {"start": 1001.92, "end": 1002.14, "word": " not", "probability": 0.923828125}, {"start": 1002.14, "end": 1002.7, "word": " considered", "probability": 0.771484375}, {"start": 1002.7, "end": 1002.96, "word": " when", "probability": 0.86474609375}, {"start": 1002.96, "end": 1003.46, "word": " sampling", "probability": 0.95654296875}, {"start": 1003.46, "end": 1004.48, "word": " without", "probability": 0.4814453125}, {"start": 1004.48, "end": 1004.8, "word": " weight", "probability": 0.41064453125}, {"start": 1004.8, "end": 1005.2, "word": " replacement?", "probability": 0.85595703125}, {"start": 1006.14, "end": 1006.38, "word": " Now,", "probability": 0.62548828125}, {"start": 1006.58, "end": 1006.8, "word": " the", "probability": 0.8046875}, {"start": 1006.8, "end": 1007.12, "word": " population", "probability": 0.97607421875}, {"start": 1007.12, "end": 1007.66, "word": " size,", "probability": 0.8564453125}, {"start": 1007.74, "end": 1007.86, "word": " the", "probability": 0.7939453125}, {"start": 1007.86, "end": 1008.18, "word": " population", "probability": 0.94580078125}, {"start": 1008.18, "end": 1008.74, "word": " size", "probability": 0.84375}, {"start": 1008.74, "end": 1008.96, "word": " is", "probability": 0.939453125}, {"start": 1008.96, "end": 1009.26, "word": " not", "probability": 0.9462890625}, {"start": 1009.26, "end": 1010.72, "word": " in", "probability": 0.9150390625}, {"start": 1010.72, "end": 1010.94, "word": " this", "probability": 0.93359375}, {"start": 1010.94, "end": 1011.46, "word": " quantity,", "probability": 0.97900390625}, {"start": 1011.6, "end": 1011.76, "word": " so", "probability": 0.93212890625}, {"start": 1011.76, "end": 1011.94, "word": " A", "probability": 0.62353515625}, {"start": 1011.94, "end": 1012.12, "word": " is", "probability": 0.94873046875}, {"start": 1012.12, "end": 1012.26, "word": " the", "probability": 0.90869140625}, {"start": 1012.26, "end": 1012.52, "word": " correct", "probability": 0.90478515625}, {"start": 1012.52, "end": 1012.92, "word": " answer.", "probability": 0.9521484375}, {"start": 1013.62, "end": 1013.84, "word": " B,", "probability": 0.96533203125}, {"start": 1013.94, "end": 1014.02, "word": " the", "probability": 0.890625}, {"start": 1014.02, "end": 1014.42, "word": " population", "probability": 0.95458984375}, {"start": 1014.42, "end": 1014.68, "word": " standard", "probability": 0.86279296875}, {"start": 1014.68, "end": 1015.14, "word": " deviation,", "probability": 0.88818359375}, {"start": 1015.52, "end": 1015.7, "word": " sigma", "probability": 0.8203125}, {"start": 1015.7, "end": 1015.88, "word": " is", "probability": 0.84765625}, {"start": 1015.88, "end": 1016.14, "word": " here.", "probability": 0.85205078125}, {"start": 1017.5, "end": 1017.92, "word": " C,", "probability": 0.98388671875}, {"start": 1018.2, "end": 1018.32, "word": " the", "probability": 0.908203125}, {"start": 1018.32, "end": 1018.56, "word": " level", "probability": 0.84228515625}, {"start": 1018.56, "end": 1018.82, "word": " of", "probability": 0.884765625}, {"start": 1018.82, "end": 1019.36, "word": " confidence", "probability": 0.97265625}, {"start": 1019.36, "end": 1020.2, "word": " desired", "probability": 0.8232421875}, {"start": 1020.2, "end": 1020.44, "word": " in", "probability": 0.9365234375}, {"start": 1020.44, "end": 1020.54, "word": " the", "probability": 0.90625}, {"start": 1020.54, "end": 1020.92, "word": " estimate,", "probability": 0.84375}, {"start": 1021.08, "end": 1021.16, "word": " we", "probability": 0.86865234375}, {"start": 1021.16, "end": 1021.3, "word": " have", "probability": 0.94775390625}, {"start": 1021.3, "end": 1021.52, "word": " Z.", "probability": 0.82373046875}], "temperature": 1.0}, {"id": 37, "seek": 103363, "start": 1022.69, "end": 1033.63, "text": " The allowable or tolerable seminar, we have it here. So eight is the correct answer. 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It turns out to be one of them. I'm not sure if I'm on the right track. To make more use of it as a reference for the update.", "tokens": [9391, 1744, 356, 11, 286, 478, 3442, 281, 1879, 322, 264, 3431, 300, 291, 434, 1364, 322, 586, 13, 467, 4523, 484, 281, 312, 472, 295, 552, 13, 286, 478, 406, 988, 498, 286, 478, 322, 264, 558, 2837, 13, 1407, 652, 544, 764, 295, 309, 382, 257, 6408, 337, 264, 5623, 13], "avg_logprob": -0.729745399068903, "compression_ratio": 1.4137931034482758, "no_speech_prob": 3.516674041748047e-06, "words": [{"start": 1040.02, "end": 1040.46, "word": " Supposedly,", "probability": 0.4037679036458333}, {"start": 1040.56, "end": 1040.62, "word": " I'm", "probability": 0.36907958984375}, {"start": 1040.62, "end": 1040.96, "word": " supposed", "probability": 0.83447265625}, {"start": 1040.96, "end": 1041.2, "word": " to", "probability": 0.91064453125}, {"start": 1041.2, "end": 1041.72, "word": " focus", "probability": 0.130859375}, {"start": 1041.72, "end": 1042.14, "word": " on", "probability": 0.8427734375}, {"start": 1042.14, "end": 1042.24, "word": " the", "probability": 0.33935546875}, {"start": 1042.24, "end": 1042.6, "word": " companies", "probability": 0.45166015625}, {"start": 1042.6, "end": 1042.8, "word": " that", "probability": 0.3828125}, {"start": 1042.8, "end": 1043.02, "word": " you're", "probability": 0.3883056640625}, {"start": 1043.02, "end": 1043.2, "word": " working", "probability": 0.396240234375}, {"start": 1043.2, "end": 1043.58, "word": " on", "probability": 0.521484375}, {"start": 1043.58, "end": 1043.98, "word": " now.", "probability": 0.6025390625}, {"start": 1044.28, "end": 1044.36, "word": " It", "probability": 0.54150390625}, {"start": 1044.36, "end": 1044.62, "word": " turns", "probability": 0.62109375}, {"start": 1044.62, "end": 1044.88, "word": " out", "probability": 0.880859375}, {"start": 1044.88, "end": 1045.1, "word": " to", "probability": 0.94873046875}, {"start": 1045.1, "end": 1045.34, "word": " be", "probability": 0.94482421875}, {"start": 1045.34, "end": 1045.64, "word": " one", "probability": 0.57763671875}, {"start": 1045.64, "end": 1045.78, "word": " of", "probability": 0.443115234375}, {"start": 1045.78, "end": 1046.14, "word": " them.", "probability": 0.82568359375}, {"start": 1046.62, "end": 1047.06, "word": " I'm", "probability": 0.4764404296875}, {"start": 1047.06, "end": 1047.26, "word": " not", "probability": 0.328125}, {"start": 1047.26, "end": 1047.26, "word": " sure", "probability": 0.8662109375}, {"start": 1047.26, "end": 1047.52, "word": " if", "probability": 0.32373046875}, {"start": 1047.52, "end": 1047.7, "word": " I'm", "probability": 0.775390625}, {"start": 1047.7, "end": 1047.8, "word": " on", "probability": 0.2386474609375}, {"start": 1047.8, "end": 1047.98, "word": " the", "probability": 0.482666015625}, {"start": 1047.98, "end": 1048.14, "word": " right", "probability": 0.85791015625}, {"start": 1048.14, "end": 1048.36, "word": " track.", "probability": 0.623046875}, {"start": 1048.42, "end": 1048.58, "word": " To", "probability": 0.366943359375}, {"start": 1048.58, "end": 1048.78, "word": " make", "probability": 0.9453125}, {"start": 1048.78, "end": 1049.02, "word": " more", "probability": 0.89111328125}, {"start": 1049.02, "end": 1049.24, "word": " use", "probability": 0.849609375}, {"start": 1049.24, "end": 1049.38, "word": " of", "probability": 0.90673828125}, {"start": 1049.38, "end": 1049.54, "word": " it", "probability": 0.16748046875}, {"start": 1049.54, "end": 1049.68, "word": " as", "probability": 0.27001953125}, {"start": 1049.68, "end": 1049.78, "word": " a", "probability": 0.57861328125}, {"start": 1049.78, "end": 1050.32, "word": " reference", "probability": 0.888671875}, {"start": 1050.32, "end": 1050.68, "word": " for", "probability": 0.8798828125}, {"start": 1050.68, "end": 1051.04, "word": " the", "probability": 0.77294921875}, {"start": 1051.04, "end": 1051.78, "word": " update.", "probability": 0.05145263671875}], "temperature": 1.0}, {"id": 39, "seek": 108466, "start": 1063.82, "end": 1084.66, "text": " Now, which of the following will result in a reduced interval width? So here we are talking about reducing the width of the interval. Number one. 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So this is the error state. Now, based on this equation, if we increase the sample size, the error will decrease. That means we reduce the interval with it. So A is the correct answer. Look at B. 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Increase the population mean, it doesn't matter actually, so it's not correct. Increase the sample mean also. So C and D are incorrect totally, so B is incorrect, so E is the correct answer. 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0.8818359375}, {"start": 1136.17, "end": 1136.39, "word": " correct", "probability": 0.8544921875}, {"start": 1136.39, "end": 1136.65, "word": " answer.", "probability": 0.93603515625}, {"start": 1137.25, "end": 1137.51, "word": " So", "probability": 0.95703125}, {"start": 1137.51, "end": 1137.67, "word": " the", "probability": 0.8720703125}, {"start": 1137.67, "end": 1137.95, "word": " correct", "probability": 0.90673828125}, {"start": 1137.95, "end": 1138.45, "word": " answer", "probability": 0.9599609375}, {"start": 1138.45, "end": 1139.37, "word": " is", "probability": 0.94677734375}, {"start": 1139.37, "end": 1139.63, "word": " A,", "probability": 0.62646484375}, {"start": 1140.27, "end": 1140.63, "word": " nine.", "probability": 0.70849609375}], "temperature": 1.0}, {"id": 42, "seek": 117522, "start": 1147.14, "end": 1175.22, "text": " A major department store chain is interested in estimating the average amount each credit and customers spent on their first visit to the chain's new store in the mall. 15 credit cards accounts were randomly sampled and analyzed with the following results. So here we have this information about the 15 data points. We have x bar.", "tokens": [316, 2563, 5882, 3531, 5021, 307, 3102, 294, 8017, 990, 264, 4274, 2372, 1184, 5397, 293, 4581, 4418, 322, 641, 700, 3441, 281, 264, 5021, 311, 777, 3531, 294, 264, 16026, 13, 2119, 5397, 5632, 9402, 645, 16979, 3247, 15551, 293, 28181, 365, 264, 3480, 3542, 13, 407, 510, 321, 362, 341, 1589, 466, 264, 2119, 1412, 2793, 13, 492, 362, 2031, 2159, 13], "avg_logprob": -0.1762019230769231, "compression_ratio": 1.5395348837209302, "no_speech_prob": 0.0, "words": [{"start": 1147.14, "end": 1147.4, "word": " A", "probability": 0.85302734375}, {"start": 1147.4, "end": 1147.64, "word": " major", "probability": 0.9248046875}, {"start": 1147.64, "end": 1148.18, "word": " department", "probability": 0.95751953125}, {"start": 1148.18, "end": 1148.8, "word": " store", "probability": 0.89013671875}, {"start": 1148.8, "end": 1149.54, "word": " chain", "probability": 0.85791015625}, {"start": 1149.54, "end": 1149.76, "word": " is", "probability": 0.93017578125}, {"start": 1149.76, "end": 1150.24, "word": " interested", "probability": 0.85791015625}, {"start": 1150.24, "end": 1150.5, "word": " in", "probability": 0.93359375}, {"start": 1150.5, "end": 1150.84, "word": " estimating", "probability": 0.879150390625}, {"start": 1150.84, "end": 1151.02, "word": " the", "probability": 0.9091796875}, {"start": 1151.02, "end": 1151.28, "word": " average", "probability": 0.81982421875}, {"start": 1151.28, "end": 1151.76, "word": " amount", "probability": 0.8837890625}, {"start": 1151.76, "end": 1152.84, "word": " each", "probability": 0.61181640625}, {"start": 1152.84, "end": 1153.28, "word": " credit", "probability": 0.93017578125}, {"start": 1153.28, "end": 1153.56, "word": " and", "probability": 0.83447265625}, {"start": 1153.56, "end": 1154.2, "word": " customers", "probability": 0.7880859375}, {"start": 1154.2, "end": 1155.04, "word": " spent", "probability": 0.78466796875}, {"start": 1155.04, "end": 1155.26, "word": " on", "probability": 0.92431640625}, {"start": 1155.26, "end": 1155.5, "word": " their", "probability": 0.951171875}, {"start": 1155.5, "end": 1155.88, "word": " first", "probability": 0.8798828125}, {"start": 1155.88, "end": 1156.2, "word": " visit", "probability": 0.93359375}, {"start": 1156.2, "end": 1156.4, "word": " to", "probability": 0.95703125}, {"start": 1156.4, "end": 1156.56, "word": " the", "probability": 0.9150390625}, {"start": 1156.56, "end": 1156.98, "word": " chain's", "probability": 0.9072265625}, {"start": 1156.98, "end": 1157.22, "word": " new", "probability": 0.92529296875}, {"start": 1157.22, "end": 1157.58, "word": " store", "probability": 0.85009765625}, {"start": 1157.58, "end": 1157.8, "word": " in", "probability": 0.755859375}, {"start": 1157.8, "end": 1157.96, "word": " the", "probability": 0.6220703125}, {"start": 1157.96, "end": 1158.2, "word": " mall.", "probability": 0.8515625}, {"start": 1159.68, "end": 1160.28, "word": " 15", "probability": 0.52978515625}, {"start": 1160.28, "end": 1160.76, "word": " credit", "probability": 0.869140625}, {"start": 1160.76, "end": 1161.38, "word": " cards", "probability": 0.8173828125}, {"start": 1161.38, "end": 1162.96, "word": " accounts", "probability": 0.58740234375}, {"start": 1162.96, "end": 1163.28, "word": " were", "probability": 0.85205078125}, {"start": 1163.28, "end": 1163.64, "word": " randomly", "probability": 0.64892578125}, {"start": 1163.64, "end": 1164.56, "word": " sampled", "probability": 0.80126953125}, {"start": 1164.56, "end": 1165.34, "word": " and", "probability": 0.865234375}, {"start": 1165.34, "end": 1165.92, "word": " analyzed", "probability": 0.86865234375}, {"start": 1165.92, "end": 1166.54, "word": " with", "probability": 0.89453125}, {"start": 1166.54, "end": 1166.7, "word": " the", "probability": 0.90625}, {"start": 1166.7, "end": 1167.0, "word": " following", "probability": 0.8974609375}, {"start": 1167.0, "end": 1167.66, "word": " results.", "probability": 0.8388671875}, {"start": 1167.82, "end": 1167.96, "word": " So", "probability": 0.94189453125}, {"start": 1167.96, "end": 1168.16, "word": " here", "probability": 0.82275390625}, {"start": 1168.16, "end": 1168.32, "word": " we", "probability": 0.78076171875}, {"start": 1168.32, "end": 1168.6, "word": " have", "probability": 0.94287109375}, {"start": 1168.6, "end": 1169.32, "word": " this", "probability": 0.92578125}, {"start": 1169.32, "end": 1169.82, "word": " information", "probability": 0.84814453125}, {"start": 1169.82, "end": 1170.18, "word": " about", "probability": 0.90087890625}, {"start": 1170.18, "end": 1170.44, "word": " the", "probability": 0.65625}, {"start": 1170.44, "end": 1170.94, "word": " 15", "probability": 0.97607421875}, {"start": 1170.94, "end": 1172.34, "word": " data", "probability": 0.94140625}, {"start": 1172.34, "end": 1172.8, "word": " points.", "probability": 0.91552734375}, {"start": 1172.92, "end": 1173.02, "word": " We", "probability": 0.955078125}, {"start": 1173.02, "end": 1173.42, "word": " have", "probability": 0.94189453125}, {"start": 1173.42, "end": 1174.88, "word": " x", "probability": 0.72265625}, {"start": 1174.88, "end": 1175.22, "word": " bar.", "probability": 0.72119140625}], "temperature": 1.0}, {"id": 43, "seek": 120501, "start": 1178.55, "end": 1205.01, "text": " of $50.5. And S squared, the sample variance is 400. Construct 95 confidence interval for the average amount it's credit card customer spent on their first visit to the chain. It's a new store. It's in the mall, assuming the amount spent follows a normal distribution.", "tokens": [295, 1848, 2803, 13, 20, 13, 400, 318, 8889, 11, 264, 6889, 21977, 307, 8423, 13, 8574, 1757, 13420, 6687, 15035, 337, 264, 4274, 2372, 309, 311, 5397, 2920, 5474, 4418, 322, 641, 700, 3441, 281, 264, 5021, 13, 467, 311, 257, 777, 3531, 13, 467, 311, 294, 264, 16026, 11, 11926, 264, 2372, 4418, 10002, 257, 2710, 7316, 13], "avg_logprob": -0.27228484388257634, "compression_ratio": 1.4308510638297873, "no_speech_prob": 0.0, "words": [{"start": 1178.55, "end": 1178.65, "word": " of", "probability": 0.06646728515625}, {"start": 1178.65, "end": 1179.11, "word": " $50", "probability": 0.564697265625}, {"start": 1179.11, "end": 1182.15, "word": ".5.", "probability": 0.88427734375}, {"start": 1183.47, "end": 1184.21, "word": " And", "probability": 0.87109375}, {"start": 1184.21, "end": 1184.57, "word": " S", "probability": 0.7666015625}, {"start": 1184.57, "end": 1184.97, "word": " squared,", "probability": 0.72314453125}, {"start": 1185.75, "end": 1185.95, "word": " the", "probability": 0.85693359375}, {"start": 1185.95, "end": 1186.27, "word": " sample", "probability": 0.86328125}, {"start": 1186.27, "end": 1186.65, "word": " variance", "probability": 0.42333984375}, {"start": 1186.65, "end": 1186.87, "word": " is", "probability": 0.81982421875}, {"start": 1186.87, "end": 1187.39, "word": " 400.", "probability": 0.9775390625}, {"start": 1189.89, "end": 1190.63, "word": " Construct", "probability": 0.934814453125}, {"start": 1190.63, "end": 1190.93, "word": " 95", "probability": 0.9033203125}, {"start": 1190.93, "end": 1191.47, "word": " confidence", "probability": 0.92919921875}, {"start": 1191.47, "end": 1191.99, "word": " interval", "probability": 0.74755859375}, {"start": 1191.99, "end": 1192.29, "word": " for", "probability": 0.9287109375}, {"start": 1192.29, "end": 1192.43, "word": " the", "probability": 0.90673828125}, {"start": 1192.43, "end": 1192.75, "word": " average", "probability": 0.8212890625}, {"start": 1192.75, "end": 1193.23, "word": " amount", "probability": 0.9033203125}, {"start": 1193.23, "end": 1193.67, "word": " it's", "probability": 0.6512451171875}, {"start": 1193.67, "end": 1193.97, "word": " credit", "probability": 0.87451171875}, {"start": 1193.97, "end": 1194.33, "word": " card", "probability": 0.89794921875}, {"start": 1194.33, "end": 1194.81, "word": " customer", "probability": 0.43310546875}, {"start": 1194.81, "end": 1195.21, "word": " spent", "probability": 0.583984375}, {"start": 1195.21, "end": 1195.39, "word": " on", "probability": 0.79296875}, {"start": 1195.39, "end": 1195.57, "word": " their", "probability": 0.9501953125}, {"start": 1195.57, "end": 1196.09, "word": " first", "probability": 0.8828125}, {"start": 1196.09, "end": 1196.91, "word": " visit", "probability": 0.94091796875}, {"start": 1196.91, "end": 1198.99, "word": " to", "probability": 0.537109375}, {"start": 1198.99, "end": 1199.15, "word": " the", "probability": 0.91064453125}, {"start": 1199.15, "end": 1199.55, "word": " chain.", "probability": 0.92822265625}, {"start": 1200.09, "end": 1200.21, "word": " It's", "probability": 0.873046875}, {"start": 1200.21, "end": 1200.31, "word": " a", "probability": 0.88037109375}, {"start": 1200.31, "end": 1200.55, "word": " new", "probability": 0.9013671875}, {"start": 1200.55, "end": 1200.93, "word": " store.", "probability": 0.77392578125}, {"start": 1201.05, "end": 1201.23, "word": " It's", "probability": 0.885009765625}, {"start": 1201.23, "end": 1201.43, "word": " in", "probability": 0.91796875}, {"start": 1201.43, "end": 1201.53, "word": " the", "probability": 0.91845703125}, {"start": 1201.53, "end": 1201.71, "word": " mall,", "probability": 0.86962890625}, {"start": 1201.83, "end": 1202.23, "word": " assuming", "probability": 0.88232421875}, {"start": 1202.23, "end": 1202.97, "word": " the", "probability": 0.90673828125}, {"start": 1202.97, "end": 1203.27, "word": " amount", "probability": 0.8505859375}, {"start": 1203.27, "end": 1203.65, "word": " spent", "probability": 0.8974609375}, {"start": 1203.65, "end": 1204.09, "word": " follows", "probability": 0.89453125}, {"start": 1204.09, "end": 1204.31, "word": " a", "probability": 0.98876953125}, {"start": 1204.31, "end": 1204.53, "word": " normal", "probability": 0.89453125}, {"start": 1204.53, "end": 1205.01, "word": " distribution.", "probability": 0.85693359375}], "temperature": 1.0}, {"id": 44, "seek": 123401, "start": 1208.09, "end": 1234.01, "text": " In this case, we should use T instead of Z. So the formula should be X bar plus or minus T, alpha over 2S over root N. So X bar is 50.5. T, we should use the T table. In this case, here we are talking about 95%.", "tokens": [682, 341, 1389, 11, 321, 820, 764, 314, 2602, 295, 1176, 13, 407, 264, 8513, 820, 312, 1783, 2159, 1804, 420, 3175, 314, 11, 8961, 670, 568, 50, 670, 5593, 426, 13, 407, 1783, 2159, 307, 2625, 13, 20, 13, 314, 11, 321, 820, 764, 264, 314, 3199, 13, 682, 341, 1389, 11, 510, 321, 366, 1417, 466, 13420, 6856], "avg_logprob": -0.17315573379641674, "compression_ratio": 1.4421768707482994, "no_speech_prob": 0.0, "words": [{"start": 1208.09, "end": 1208.57, "word": " In", "probability": 0.1702880859375}, {"start": 1208.57, "end": 1209.05, "word": " this", "probability": 0.94482421875}, {"start": 1209.05, "end": 1209.25, "word": " case,", "probability": 0.91455078125}, {"start": 1209.29, "end": 1209.39, "word": " we", "probability": 0.94287109375}, {"start": 1209.39, "end": 1209.57, "word": " should", "probability": 0.96142578125}, {"start": 1209.57, "end": 1209.99, "word": " use", "probability": 0.892578125}, {"start": 1209.99, "end": 1211.53, "word": " T", "probability": 0.705078125}, {"start": 1211.53, "end": 1212.25, "word": " instead", "probability": 0.82177734375}, {"start": 1212.25, "end": 1212.39, "word": " of", "probability": 0.96435546875}, {"start": 1212.39, "end": 1212.57, "word": " Z.", "probability": 0.5625}, {"start": 1212.81, "end": 1212.95, "word": " So", "probability": 0.94970703125}, {"start": 1212.95, "end": 1213.15, "word": " the", "probability": 0.734375}, {"start": 1213.15, "end": 1213.51, "word": " formula", "probability": 0.92626953125}, {"start": 1213.51, "end": 1213.85, "word": " should", "probability": 0.96484375}, {"start": 1213.85, "end": 1214.05, "word": " be", "probability": 0.94970703125}, {"start": 1214.05, "end": 1214.19, "word": " X", "probability": 0.62890625}, {"start": 1214.19, "end": 1214.33, "word": " bar", "probability": 0.837890625}, {"start": 1214.33, "end": 1214.57, "word": " plus", "probability": 0.9697265625}, {"start": 1214.57, "end": 1214.75, "word": " or", "probability": 0.9375}, {"start": 1214.75, "end": 1214.97, "word": " minus", "probability": 0.9873046875}, {"start": 1214.97, "end": 1215.37, "word": " T,", "probability": 0.98828125}, {"start": 1216.01, "end": 1216.31, "word": " alpha", "probability": 0.79833984375}, {"start": 1216.31, "end": 1216.55, "word": " over", "probability": 0.91259765625}, {"start": 1216.55, "end": 1216.95, "word": " 2S", "probability": 0.7626953125}, {"start": 1216.95, "end": 1217.19, "word": " over", "probability": 0.88720703125}, {"start": 1217.19, "end": 1217.39, "word": " root", "probability": 0.9326171875}, {"start": 1217.39, "end": 1217.61, "word": " N.", "probability": 0.91552734375}, {"start": 1223.11, "end": 1223.59, "word": " So", "probability": 0.953125}, {"start": 1223.59, "end": 1223.83, "word": " X", "probability": 0.8505859375}, {"start": 1223.83, "end": 1224.17, "word": " bar", "probability": 0.93212890625}, {"start": 1224.17, "end": 1225.13, "word": " is", "probability": 0.9375}, {"start": 1225.13, "end": 1225.41, "word": " 50", "probability": 0.89794921875}, {"start": 1225.41, "end": 1225.99, "word": ".5.", "probability": 0.99267578125}, {"start": 1226.29, "end": 1226.53, "word": " T,", "probability": 0.9462890625}, {"start": 1226.63, "end": 1226.83, "word": " we", "probability": 0.8603515625}, {"start": 1226.83, "end": 1227.01, "word": " should", "probability": 0.970703125}, {"start": 1227.01, "end": 1227.31, "word": " use", "probability": 0.884765625}, {"start": 1227.31, "end": 1227.59, "word": " the", "probability": 0.89013671875}, {"start": 1227.59, "end": 1228.19, "word": " T", "probability": 0.974609375}, {"start": 1228.19, "end": 1228.51, "word": " table.", "probability": 0.72265625}, {"start": 1229.17, "end": 1229.35, "word": " In", "probability": 0.9619140625}, {"start": 1229.35, "end": 1229.55, "word": " this", "probability": 0.94384765625}, {"start": 1229.55, "end": 1229.89, "word": " case,", "probability": 0.9091796875}, {"start": 1229.99, "end": 1230.17, "word": " here", "probability": 0.8408203125}, {"start": 1230.17, "end": 1230.31, "word": " we", "probability": 0.720703125}, {"start": 1230.31, "end": 1230.43, "word": " are", "probability": 0.921875}, {"start": 1230.43, "end": 1230.77, "word": " talking", "probability": 0.85302734375}, {"start": 1230.77, "end": 1231.49, "word": " about", "probability": 0.908203125}, {"start": 1231.49, "end": 1234.01, "word": " 95%.", "probability": 0.86181640625}], "temperature": 1.0}, {"id": 45, "seek": 126384, "start": 1236.83, "end": 1263.85, "text": " So that means alpha is 5%, alpha over 2, 0, 2, 5. So now we are looking for 2, 0, 2, 5, and degrees of freedom. N is 15. It says that 15 credit cards. So 15 credit cards accounts for random samples. So N equals 15. So since N is 15,", "tokens": [407, 300, 1355, 8961, 307, 1025, 8923, 8961, 670, 568, 11, 1958, 11, 568, 11, 1025, 13, 407, 586, 321, 366, 1237, 337, 568, 11, 1958, 11, 568, 11, 1025, 11, 293, 5310, 295, 5645, 13, 426, 307, 2119, 13, 467, 1619, 300, 2119, 5397, 5632, 13, 407, 2119, 5397, 5632, 9402, 337, 4974, 10938, 13, 407, 426, 6915, 2119, 13, 407, 1670, 426, 307, 2119, 11], "avg_logprob": -0.23851103226051612, "compression_ratio": 1.5129870129870129, "no_speech_prob": 0.0, "words": [{"start": 1236.83, "end": 1237.07, "word": " So", "probability": 0.87744140625}, {"start": 1237.07, "end": 1237.31, "word": " that", "probability": 0.826171875}, {"start": 1237.31, "end": 1237.63, "word": " means", "probability": 0.908203125}, {"start": 1237.63, "end": 1238.15, "word": " alpha", "probability": 0.80224609375}, {"start": 1238.15, "end": 1239.35, "word": " is", "probability": 0.9150390625}, {"start": 1239.35, "end": 1240.19, "word": " 5%,", "probability": 0.63427734375}, {"start": 1240.19, "end": 1241.45, "word": " alpha", "probability": 0.86279296875}, {"start": 1241.45, "end": 1241.67, "word": " over", "probability": 0.896484375}, {"start": 1241.67, "end": 1241.93, "word": " 2,", "probability": 0.77978515625}, {"start": 1242.03, "end": 1242.33, "word": " 0,", "probability": 0.90380859375}, {"start": 1242.75, "end": 1243.75, "word": " 2,", "probability": 0.444580078125}, {"start": 1243.83, "end": 1244.13, "word": " 5.", "probability": 0.958984375}, {"start": 1244.77, "end": 1245.37, "word": " So", "probability": 0.91796875}, {"start": 1245.37, "end": 1245.53, "word": " now", "probability": 0.91015625}, {"start": 1245.53, "end": 1245.65, "word": " we", "probability": 0.8291015625}, {"start": 1245.65, "end": 1245.75, "word": " are", "probability": 0.90673828125}, {"start": 1245.75, "end": 1245.99, "word": " looking", "probability": 0.8798828125}, {"start": 1245.99, "end": 1246.25, "word": " for", "probability": 0.94580078125}, {"start": 1246.25, "end": 1246.55, "word": " 2,", "probability": 0.88916015625}, {"start": 1246.85, "end": 1247.19, "word": " 0,", "probability": 0.98876953125}, {"start": 1247.27, "end": 1247.39, "word": " 2,", "probability": 0.92822265625}, {"start": 1247.39, "end": 1248.21, "word": " 5,", "probability": 0.9814453125}, {"start": 1248.41, "end": 1248.67, "word": " and", "probability": 0.82568359375}, {"start": 1248.67, "end": 1248.93, "word": " degrees", "probability": 0.947265625}, {"start": 1248.93, "end": 1249.13, "word": " of", "probability": 0.97021484375}, {"start": 1249.13, "end": 1249.55, "word": " freedom.", "probability": 0.93896484375}, {"start": 1250.93, "end": 1251.27, "word": " N", "probability": 0.7275390625}, {"start": 1251.27, "end": 1251.45, "word": " is", "probability": 0.9423828125}, {"start": 1251.45, "end": 1251.93, "word": " 15.", "probability": 0.9638671875}, {"start": 1252.09, "end": 1252.29, "word": " It", "probability": 0.603515625}, {"start": 1252.29, "end": 1252.53, "word": " says", "probability": 0.900390625}, {"start": 1252.53, "end": 1252.95, "word": " that", "probability": 0.93017578125}, {"start": 1252.95, "end": 1254.21, "word": " 15", "probability": 0.90673828125}, {"start": 1254.21, "end": 1254.67, "word": " credit", "probability": 0.87744140625}, {"start": 1254.67, "end": 1255.17, "word": " cards.", "probability": 0.4765625}, {"start": 1255.77, "end": 1255.77, "word": " So", "probability": 0.89404296875}, {"start": 1255.77, "end": 1256.51, "word": " 15", "probability": 0.92431640625}, {"start": 1256.51, "end": 1257.25, "word": " credit", "probability": 0.7626953125}, {"start": 1257.25, "end": 1257.45, "word": " cards", "probability": 0.84619140625}, {"start": 1257.45, "end": 1257.81, "word": " accounts", "probability": 0.6162109375}, {"start": 1257.81, "end": 1258.03, "word": " for", "probability": 0.86962890625}, {"start": 1258.03, "end": 1258.27, "word": " random", "probability": 0.367431640625}, {"start": 1258.27, "end": 1258.79, "word": " samples.", "probability": 0.209716796875}, {"start": 1258.99, "end": 1259.11, "word": " So", "probability": 0.9541015625}, {"start": 1259.11, "end": 1259.27, "word": " N", "probability": 0.638671875}, {"start": 1259.27, "end": 1259.59, "word": " equals", "probability": 0.87841796875}, {"start": 1259.59, "end": 1260.23, "word": " 15.", "probability": 0.97314453125}, {"start": 1261.51, "end": 1261.99, "word": " So", "probability": 0.95751953125}, {"start": 1261.99, "end": 1262.93, "word": " since", "probability": 0.83251953125}, {"start": 1262.93, "end": 1263.17, "word": " N", "probability": 0.9580078125}, {"start": 1263.17, "end": 1263.33, "word": " is", "probability": 0.94970703125}, {"start": 1263.33, "end": 1263.85, "word": " 15,", "probability": 0.974609375}], "temperature": 1.0}, {"id": 46, "seek": 129308, "start": 1264.39, "end": 1293.09, "text": " Degrees of freedom is 14. Now we may use the normal, the T table in order to find the value of T in the upper tier actually. So what's the value if you have the table? So look at degrees of freedom 14 under the probability of 0 to 5.", "tokens": [413, 1146, 4856, 295, 5645, 307, 3499, 13, 823, 321, 815, 764, 264, 2710, 11, 264, 314, 3199, 294, 1668, 281, 915, 264, 2158, 295, 314, 294, 264, 6597, 12362, 767, 13, 407, 437, 311, 264, 2158, 498, 291, 362, 264, 3199, 30, 407, 574, 412, 5310, 295, 5645, 3499, 833, 264, 8482, 295, 1958, 281, 1025, 13], "avg_logprob": -0.2503972356602297, "compression_ratio": 1.4904458598726114, "no_speech_prob": 0.0, "words": [{"start": 1264.39, "end": 1265.05, "word": " Degrees", "probability": 0.627197265625}, {"start": 1265.05, "end": 1265.25, "word": " of", "probability": 0.955078125}, {"start": 1265.25, "end": 1265.47, "word": " freedom", "probability": 0.87548828125}, {"start": 1265.47, "end": 1265.71, "word": " is", "probability": 0.7021484375}, {"start": 1265.71, "end": 1266.09, "word": " 14.", "probability": 0.80029296875}, {"start": 1267.03, "end": 1267.27, "word": " Now", "probability": 0.8828125}, {"start": 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1271.91, "word": " the", "probability": 0.90771484375}, {"start": 1271.91, "end": 1272.27, "word": " value", "probability": 0.97509765625}, {"start": 1272.27, "end": 1272.71, "word": " of", "probability": 0.9658203125}, {"start": 1272.71, "end": 1273.15, "word": " T", "probability": 0.9638671875}, {"start": 1273.15, "end": 1276.25, "word": " in", "probability": 0.6181640625}, {"start": 1276.25, "end": 1276.41, "word": " the", "probability": 0.919921875}, {"start": 1276.41, "end": 1276.61, "word": " upper", "probability": 0.70068359375}, {"start": 1276.61, "end": 1276.89, "word": " tier", "probability": 0.89990234375}, {"start": 1276.89, "end": 1277.33, "word": " actually.", "probability": 0.73291015625}, {"start": 1277.99, "end": 1278.13, "word": " So", "probability": 0.94873046875}, {"start": 1278.13, "end": 1278.29, "word": " what's", "probability": 0.873291015625}, {"start": 1278.29, "end": 1278.43, "word": " the", "probability": 0.9169921875}, {"start": 1278.43, "end": 1278.81, 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" 14", "probability": 0.81982421875}, {"start": 1286.93, "end": 1288.71, "word": " under", "probability": 0.41064453125}, {"start": 1288.71, "end": 1289.27, "word": " the", "probability": 0.75341796875}, {"start": 1289.27, "end": 1289.85, "word": " probability", "probability": 0.94970703125}, {"start": 1289.85, "end": 1290.49, "word": " of", "probability": 0.96630859375}, {"start": 1290.49, "end": 1292.51, "word": " 0", "probability": 0.818359375}, {"start": 1292.51, "end": 1292.71, "word": " to", "probability": 0.93505859375}, {"start": 1292.71, "end": 1293.09, "word": " 5.", "probability": 0.98828125}], "temperature": 1.0}, {"id": 47, "seek": 130917, "start": 1300.19, "end": 1309.17, "text": " So again, we are looking for degrees of freedom equal 14 under 2.5%.", "tokens": [407, 797, 11, 321, 366, 1237, 337, 5310, 295, 5645, 2681, 3499, 833, 568, 13, 20, 6856], "avg_logprob": -0.1514756911330753, "compression_ratio": 0.9452054794520548, "no_speech_prob": 0.0, "words": [{"start": 1300.1899999999998, "end": 1301.11, "word": " So", "probability": 0.372314453125}, {"start": 1301.11, "end": 1302.03, "word": " again,", "probability": 0.81591796875}, {"start": 1302.49, "end": 1303.61, "word": " we", "probability": 0.9501953125}, {"start": 1303.61, "end": 1303.73, "word": " are", "probability": 0.931640625}, {"start": 1303.73, "end": 1303.97, "word": " looking", "probability": 0.9189453125}, {"start": 1303.97, "end": 1304.33, "word": " for", "probability": 0.9541015625}, {"start": 1304.33, "end": 1304.63, "word": " degrees", "probability": 0.95703125}, {"start": 1304.63, "end": 1304.81, "word": " of", "probability": 0.9599609375}, {"start": 1304.81, "end": 1305.05, "word": " freedom", "probability": 0.94580078125}, {"start": 1305.05, "end": 1305.33, "word": " equal", "probability": 0.8720703125}, {"start": 1305.33, "end": 1305.95, "word": " 14", "probability": 0.90771484375}, {"start": 1305.95, "end": 1307.15, "word": " under", "probability": 0.5498046875}, {"start": 1307.15, "end": 1308.25, "word": " 2", "probability": 0.9482421875}, {"start": 1308.25, "end": 1309.17, "word": ".5%.", "probability": 0.9573567708333334}], "temperature": 1.0}, {"id": 48, "seek": 135035, "start": 1324.85, "end": 1350.35, "text": " 0.5 plus or minus 2.1448. S squared is given 400. Take square root of this quantity 20 over root n over root 15. And the answer, just simple calculation will give", "tokens": [1958, 13, 20, 1804, 420, 3175, 568, 13, 7271, 13318, 13, 318, 8889, 307, 2212, 8423, 13, 3664, 3732, 5593, 295, 341, 11275, 945, 670, 5593, 297, 670, 5593, 2119, 13, 400, 264, 1867, 11, 445, 2199, 17108, 486, 976], "avg_logprob": -0.3546112921179795, "compression_ratio": 1.2635658914728682, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1324.85, "end": 1325.15, "word": " 0", "probability": 0.1478271484375}, {"start": 1325.15, "end": 1325.69, "word": ".5", "probability": 0.96728515625}, {"start": 1325.69, "end": 1326.05, "word": " plus", "probability": 0.7587890625}, {"start": 1326.05, "end": 1326.29, "word": " or", "probability": 0.93603515625}, {"start": 1326.29, "end": 1326.73, "word": " minus", "probability": 0.986328125}, {"start": 1326.73, "end": 1331.39, "word": " 2", "probability": 0.677734375}, {"start": 1331.39, "end": 1333.35, "word": ".1448.", "probability": 0.9376627604166666}, {"start": 1333.99, "end": 1334.57, "word": " S", "probability": 0.6962890625}, {"start": 1334.57, "end": 1335.39, "word": " squared", "probability": 0.599609375}, {"start": 1335.39, "end": 1335.57, "word": " is", "probability": 0.92626953125}, {"start": 1335.57, "end": 1335.85, "word": " given", "probability": 0.83154296875}, {"start": 1335.85, "end": 1336.61, "word": " 400.", "probability": 0.54638671875}, {"start": 1337.05, "end": 1337.55, "word": " Take", "probability": 0.335693359375}, {"start": 1337.55, "end": 1337.95, "word": " square", "probability": 0.71044921875}, {"start": 1337.95, "end": 1338.21, "word": " root", "probability": 0.89453125}, {"start": 1338.21, "end": 1338.39, "word": " of", "probability": 0.798828125}, {"start": 1338.39, "end": 1338.55, "word": " this", "probability": 0.92626953125}, {"start": 1338.55, "end": 1339.11, "word": " quantity", "probability": 0.97705078125}, {"start": 1339.11, "end": 1340.03, "word": " 20", "probability": 0.54736328125}, {"start": 1340.03, "end": 1340.97, "word": " over", "probability": 0.7412109375}, {"start": 1340.97, "end": 1341.27, "word": " root", "probability": 0.86474609375}, {"start": 1341.27, "end": 1341.55, "word": " n", "probability": 0.57568359375}, {"start": 1341.55, "end": 1342.71, "word": " over", "probability": 0.60302734375}, {"start": 1342.71, "end": 1343.17, "word": " root", "probability": 0.54052734375}, {"start": 1343.17, "end": 1344.33, "word": " 15.", "probability": 0.919921875}, {"start": 1345.15, "end": 1345.43, "word": " And", "probability": 0.89404296875}, {"start": 1345.43, "end": 1345.57, "word": " the", "probability": 0.79736328125}, {"start": 1345.57, "end": 1345.99, "word": " answer,", "probability": 0.95849609375}, {"start": 1347.59, "end": 1347.97, "word": " just", "probability": 0.69189453125}, {"start": 1347.97, "end": 1348.31, "word": " simple", "probability": 0.8349609375}, {"start": 1348.31, "end": 1348.85, "word": " calculation", "probability": 0.921875}, {"start": 1348.85, "end": 1349.97, "word": " will", "probability": 0.55712890625}, {"start": 1349.97, "end": 1350.35, "word": " give", "probability": 0.88916015625}], "temperature": 1.0}, {"id": 49, "seek": 138011, "start": 1354.25, "end": 1380.11, "text": " This result, so D is the correct answer. So the answer should be 50.5 plus or minus 11.08. So D is the correct answer. So this one is straightforward calculation, gives part D to be the correct answer. Any question? 11, 10?", "tokens": [639, 1874, 11, 370, 413, 307, 264, 3006, 1867, 13, 407, 264, 1867, 820, 312, 2625, 13, 20, 1804, 420, 3175, 2975, 13, 16133, 13, 407, 413, 307, 264, 3006, 1867, 13, 407, 341, 472, 307, 15325, 17108, 11, 2709, 644, 413, 281, 312, 264, 3006, 1867, 13, 2639, 1168, 30, 2975, 11, 1266, 30], "avg_logprob": -0.18596540737364972, "compression_ratio": 1.5342465753424657, "no_speech_prob": 0.0, "words": [{"start": 1354.25, "end": 1354.97, "word": " This", "probability": 0.5302734375}, {"start": 1354.97, "end": 1355.33, "word": " result,", "probability": 0.68505859375}, {"start": 1355.73, "end": 1355.93, "word": " so", "probability": 0.89794921875}, {"start": 1355.93, "end": 1356.27, "word": " D", "probability": 0.51953125}, {"start": 1356.27, "end": 1356.45, "word": " is", "probability": 0.94775390625}, {"start": 1356.45, "end": 1356.61, "word": " the", "probability": 0.87109375}, {"start": 1356.61, "end": 1356.87, "word": " correct", "probability": 0.9072265625}, {"start": 1356.87, "end": 1357.29, "word": " answer.", "probability": 0.94091796875}, {"start": 1357.83, "end": 1358.21, "word": " So", "probability": 0.939453125}, {"start": 1358.21, "end": 1358.41, "word": " the", "probability": 0.740234375}, {"start": 1358.41, "end": 1358.71, "word": " answer", "probability": 0.9482421875}, {"start": 1358.71, "end": 1359.05, "word": " should", "probability": 0.96875}, {"start": 1359.05, "end": 1359.31, "word": " be", "probability": 0.953125}, {"start": 1359.31, "end": 1359.79, "word": " 50", "probability": 0.80029296875}, {"start": 1359.79, "end": 1360.51, "word": ".5", "probability": 0.9794921875}, {"start": 1360.51, "end": 1360.81, "word": " plus", "probability": 0.654296875}, {"start": 1360.81, "end": 1361.01, "word": " or", "probability": 0.93310546875}, {"start": 1361.01, "end": 1361.39, "word": " minus", "probability": 0.98291015625}, {"start": 1361.39, "end": 1362.51, "word": " 11", "probability": 0.923828125}, {"start": 1362.51, "end": 1364.23, "word": ".08.", "probability": 0.943359375}, {"start": 1364.81, "end": 1365.29, "word": " So", "probability": 0.95068359375}, {"start": 1365.29, "end": 1365.55, "word": " D", "probability": 0.8486328125}, {"start": 1365.55, "end": 1365.87, "word": " is", "probability": 0.951171875}, {"start": 1365.87, "end": 1366.05, "word": " the", "probability": 0.87939453125}, {"start": 1366.05, "end": 1366.39, "word": " correct", "probability": 0.908203125}, {"start": 1366.39, "end": 1367.23, "word": " answer.", "probability": 0.9560546875}, {"start": 1367.93, "end": 1368.19, "word": " So", "probability": 0.94677734375}, {"start": 1368.19, "end": 1368.35, "word": " this", "probability": 0.9091796875}, {"start": 1368.35, "end": 1368.51, "word": " one", "probability": 0.8876953125}, {"start": 1368.51, "end": 1368.65, "word": " is", "probability": 0.89111328125}, {"start": 1368.65, "end": 1369.17, "word": " straightforward", "probability": 0.7763671875}, {"start": 1369.17, "end": 1369.93, "word": " calculation,", "probability": 0.916015625}, {"start": 1370.71, "end": 1371.07, "word": " gives", "probability": 0.85107421875}, {"start": 1371.07, "end": 1371.93, "word": " part", "probability": 0.447021484375}, {"start": 1371.93, "end": 1372.21, "word": " D", "probability": 0.9443359375}, {"start": 1372.21, "end": 1372.39, "word": " to", "probability": 0.95947265625}, {"start": 1372.39, "end": 1372.53, "word": " be", "probability": 0.94384765625}, {"start": 1372.53, "end": 1372.69, "word": " the", "probability": 0.90771484375}, {"start": 1372.69, "end": 1372.99, "word": " correct", "probability": 0.89306640625}, {"start": 1372.99, "end": 1373.41, "word": " answer.", "probability": 0.94775390625}, {"start": 1375.19, "end": 1375.43, "word": " Any", "probability": 0.89599609375}, {"start": 1375.43, "end": 1375.75, "word": " question?", "probability": 0.7578125}, {"start": 1378.51, "end": 1379.23, "word": " 11,", "probability": 0.7177734375}, {"start": 1379.69, "end": 1380.11, "word": " 10?", "probability": 0.798828125}], "temperature": 1.0}, {"id": 50, "seek": 141195, "start": 1383.11, "end": 1411.95, "text": " Private colleges and universities rely on money contributed by individuals and corporations for their operating expenses. Much of this money is put into a fund called an endowment, and the college spends only the interest earned by the fund. Now, here we have a recent", "tokens": [30386, 15272, 293, 11779, 10687, 322, 1460, 18434, 538, 5346, 293, 17676, 337, 641, 7447, 15506, 13, 12313, 295, 341, 1460, 307, 829, 666, 257, 2374, 1219, 364, 917, 47966, 11, 293, 264, 3859, 25620, 787, 264, 1179, 12283, 538, 264, 2374, 13, 823, 11, 510, 321, 362, 257, 5162], "avg_logprob": -0.1766237704192891, "compression_ratio": 1.5197740112994351, "no_speech_prob": 0.0, "words": [{"start": 1383.11, "end": 1383.59, "word": " Private", "probability": 0.64111328125}, {"start": 1383.59, "end": 1384.73, "word": " colleges", "probability": 0.89208984375}, {"start": 1384.73, "end": 1385.71, "word": " and", "probability": 0.93408203125}, {"start": 1385.71, "end": 1386.25, "word": " universities", "probability": 0.9052734375}, {"start": 1386.25, "end": 1386.75, "word": " rely", "probability": 0.91162109375}, {"start": 1386.75, "end": 1387.03, "word": " on", "probability": 0.95166015625}, {"start": 1387.03, "end": 1387.25, "word": " money", "probability": 0.90283203125}, {"start": 1387.25, "end": 1387.95, "word": " contributed", "probability": 0.54345703125}, {"start": 1387.95, "end": 1390.33, "word": " by", "probability": 0.9365234375}, {"start": 1390.33, "end": 1391.17, "word": " individuals", "probability": 0.69482421875}, {"start": 1391.17, "end": 1391.73, "word": " and", "probability": 0.54931640625}, {"start": 1391.73, "end": 1392.29, "word": " corporations", "probability": 0.84326171875}, {"start": 1392.29, "end": 1392.73, "word": " for", "probability": 0.93115234375}, {"start": 1392.73, "end": 1393.01, "word": " their", "probability": 0.95166015625}, {"start": 1393.01, "end": 1393.53, "word": " operating", "probability": 0.99072265625}, {"start": 1393.53, "end": 1394.19, "word": " expenses.", "probability": 0.9638671875}, {"start": 1396.13, "end": 1397.01, "word": " Much", "probability": 0.8994140625}, {"start": 1397.01, "end": 1397.21, "word": " of", "probability": 0.96533203125}, {"start": 1397.21, "end": 1397.45, "word": " this", "probability": 0.93701171875}, {"start": 1397.45, "end": 1397.71, "word": " money", "probability": 0.92578125}, {"start": 1397.71, "end": 1397.95, "word": " is", "probability": 0.92578125}, {"start": 1397.95, "end": 1398.17, "word": " put", "probability": 0.931640625}, {"start": 1398.17, "end": 1398.89, "word": " into", "probability": 0.85302734375}, {"start": 1398.89, "end": 1400.49, "word": " a", "probability": 0.9794921875}, {"start": 1400.49, "end": 1400.71, "word": " fund", "probability": 0.9248046875}, {"start": 1400.71, "end": 1401.21, "word": " called", "probability": 0.89794921875}, {"start": 1401.21, "end": 1402.71, "word": " an", "probability": 0.75048828125}, {"start": 1402.71, "end": 1403.17, "word": " endowment,", "probability": 0.6072998046875}, {"start": 1403.69, "end": 1403.93, "word": " and", "probability": 0.9228515625}, {"start": 1403.93, "end": 1404.09, "word": " the", "probability": 0.8515625}, {"start": 1404.09, "end": 1404.35, "word": " college", "probability": 0.7255859375}, {"start": 1404.35, "end": 1404.77, "word": " spends", "probability": 0.9287109375}, {"start": 1404.77, "end": 1405.17, "word": " only", "probability": 0.7421875}, {"start": 1405.17, "end": 1405.95, "word": " the", "probability": 0.892578125}, {"start": 1405.95, "end": 1406.57, "word": " interest", "probability": 0.8876953125}, {"start": 1406.57, "end": 1406.93, "word": " earned", "probability": 0.8916015625}, {"start": 1406.93, "end": 1407.27, "word": " by", "probability": 0.97900390625}, {"start": 1407.27, "end": 1407.53, "word": " the", "probability": 0.91552734375}, {"start": 1407.53, "end": 1407.85, "word": " fund.", "probability": 0.931640625}, {"start": 1409.61, "end": 1410.27, "word": " Now,", "probability": 0.931640625}, {"start": 1410.71, "end": 1411.03, "word": " here", "probability": 0.859375}, {"start": 1411.03, "end": 1411.21, "word": " we", "probability": 0.896484375}, {"start": 1411.21, "end": 1411.39, "word": " have", "probability": 0.94482421875}, {"start": 1411.39, "end": 1411.55, "word": " a", "probability": 0.9638671875}, {"start": 1411.55, "end": 1411.95, "word": " recent", "probability": 0.92578125}], "temperature": 1.0}, {"id": 51, "seek": 143785, "start": 1412.25, "end": 1437.85, "text": " It says that a recent survey of eight private colleges in the United States revealed the following endowment in millions of dollars. So we have this data. So it's raw data. Summary statistics yield export to be 180. 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"text": " But here, the mean and standard deviation are given. So just use this information anyway. Calculate 95 confidence interval for the mean endowment of all private colleges in the United States, assuming a normal distribution for the endowment. Here we have 95%. Now what's the sample size? It says that eight.", "tokens": [583, 510, 11, 264, 914, 293, 3832, 25163, 366, 2212, 13, 407, 445, 764, 341, 1589, 4033, 13, 3511, 2444, 473, 13420, 6687, 15035, 337, 264, 914, 917, 47966, 295, 439, 4551, 15272, 294, 264, 2824, 3040, 11, 11926, 257, 2710, 7316, 337, 264, 917, 47966, 13, 1692, 321, 362, 13420, 6856, 823, 437, 311, 264, 6889, 2744, 30, 467, 1619, 300, 3180, 13], "avg_logprob": -0.16009615384615383, "compression_ratio": 1.4597156398104265, "no_speech_prob": 0.0, "words": [{"start": 1457.04, "end": 1457.34, "word": " But", "probability": 0.73828125}, {"start": 1457.34, "end": 1457.58, "word": " here,", "probability": 0.828125}, {"start": 1457.8, "end": 1457.96, "word": " the", "probability": 0.88037109375}, {"start": 1457.96, "end": 1458.24, "word": " mean", "probability": 0.96435546875}, {"start": 1458.24, "end": 1459.46, "word": " and", "probability": 0.787109375}, {"start": 1459.46, "end": 1459.86, "word": " standard", "probability": 0.90478515625}, {"start": 1459.86, "end": 1460.26, "word": " deviation", "probability": 0.94580078125}, {"start": 1460.26, "end": 1460.72, "word": " are", "probability": 0.9375}, {"start": 1460.72, "end": 1461.04, "word": " given.", "probability": 0.9052734375}, {"start": 1461.6, "end": 1461.96, "word": " So", "probability": 0.96240234375}, {"start": 1461.96, "end": 1462.2, "word": " just", "probability": 0.76220703125}, {"start": 1462.2, "end": 1462.48, "word": " use", "probability": 0.86962890625}, {"start": 1462.48, "end": 1462.72, "word": " this", "probability": 0.9462890625}, {"start": 1462.72, "end": 1463.2, "word": " information", "probability": 0.8369140625}, {"start": 1463.2, "end": 1463.54, "word": " anyway.", "probability": 0.452880859375}, {"start": 1464.0, "end": 1464.5, "word": " Calculate", "probability": 0.98095703125}, {"start": 1464.5, "end": 1465.1, "word": " 95", "probability": 0.97900390625}, {"start": 1465.1, "end": 1465.76, "word": " confidence", "probability": 0.958984375}, {"start": 1465.76, "end": 1466.24, "word": " interval", "probability": 0.8603515625}, {"start": 1466.24, "end": 1467.26, "word": " for", "probability": 0.92138671875}, {"start": 1467.26, "end": 1467.48, "word": " the", "probability": 0.92333984375}, {"start": 1467.48, "end": 1467.72, "word": " mean", "probability": 0.9638671875}, {"start": 1467.72, "end": 1468.18, "word": " endowment", "probability": 0.777099609375}, {"start": 1468.18, "end": 1468.66, "word": " of", "probability": 0.96142578125}, {"start": 1468.66, "end": 1468.94, "word": " all", "probability": 0.94189453125}, {"start": 1468.94, "end": 1469.32, "word": " private", "probability": 0.85888671875}, {"start": 1469.32, "end": 1469.78, "word": " colleges", "probability": 0.9072265625}, {"start": 1469.78, "end": 1470.02, "word": " in", "probability": 0.93701171875}, {"start": 1470.02, "end": 1470.14, "word": " the", "probability": 0.87109375}, {"start": 1470.14, "end": 1470.38, "word": " United", "probability": 0.9208984375}, {"start": 1470.38, "end": 1470.86, "word": " States,", "probability": 0.9443359375}, {"start": 1472.4, "end": 1472.86, "word": " assuming", "probability": 0.88232421875}, {"start": 1472.86, "end": 1473.1, "word": " a", "probability": 0.994140625}, {"start": 1473.1, "end": 1473.44, "word": " normal", "probability": 0.87841796875}, {"start": 1473.44, "end": 1474.04, "word": " distribution", "probability": 0.88330078125}, {"start": 1474.04, "end": 1474.52, "word": " for", "probability": 0.951171875}, {"start": 1474.52, "end": 1474.72, "word": " the", "probability": 0.89892578125}, {"start": 1474.72, "end": 1475.08, "word": " endowment.", "probability": 0.935302734375}, {"start": 1475.28, "end": 1475.6, "word": " Here", "probability": 0.7646484375}, {"start": 1475.6, "end": 1475.76, "word": " we", "probability": 0.6396484375}, {"start": 1475.76, "end": 1476.08, "word": " have", "probability": 0.94873046875}, {"start": 1476.08, "end": 1479.3, "word": " 95%.", "probability": 0.7568359375}, {"start": 1479.3, "end": 1482.6, "word": " Now", "probability": 0.9580078125}, {"start": 1482.6, "end": 1482.84, "word": " what's", "probability": 0.75244140625}, {"start": 1482.84, "end": 1482.98, "word": " the", "probability": 0.92919921875}, {"start": 1482.98, "end": 1483.18, "word": " sample", "probability": 0.92578125}, {"start": 1483.18, "end": 1483.66, "word": " size?", "probability": 0.86083984375}, {"start": 1485.38, "end": 1485.64, "word": " It", "probability": 0.814453125}, {"start": 1485.64, "end": 1485.88, "word": " says", "probability": 0.6640625}, {"start": 1485.88, "end": 1486.12, "word": " that", "probability": 0.86328125}, {"start": 1486.12, "end": 1486.5, "word": " eight.", "probability": 0.56396484375}], "temperature": 1.0}, {"id": 54, "seek": 151346, "start": 1487.6, "end": 1513.46, "text": " So N is eight. So again, simple calculation. So explore, plus or minus T, S over root N. So use the same idea for the previous one. And the answer for number 10 is part D. So D is the correct answer. So again,", "tokens": [407, 426, 307, 3180, 13, 407, 797, 11, 2199, 17108, 13, 407, 6839, 11, 1804, 420, 3175, 314, 11, 318, 670, 5593, 426, 13, 407, 764, 264, 912, 1558, 337, 264, 3894, 472, 13, 400, 264, 1867, 337, 1230, 1266, 307, 644, 413, 13, 407, 413, 307, 264, 3006, 1867, 13, 407, 797, 11], "avg_logprob": -0.21463068236004224, "compression_ratio": 1.4482758620689655, "no_speech_prob": 0.0, "words": [{"start": 1487.6, "end": 1488.08, "word": " So", "probability": 0.79736328125}, {"start": 1488.08, "end": 1488.48, "word": " N", "probability": 0.289306640625}, {"start": 1488.48, "end": 1489.4, "word": " is", "probability": 0.908203125}, {"start": 1489.4, "end": 1489.74, "word": " eight.", "probability": 0.5126953125}, {"start": 1490.58, "end": 1490.9, "word": " So", "probability": 0.939453125}, {"start": 1490.9, "end": 1491.18, "word": " again,", "probability": 0.89013671875}, {"start": 1491.34, "end": 1491.68, "word": " simple", "probability": 0.92431640625}, {"start": 1491.68, "end": 1492.34, "word": " calculation.", "probability": 0.9248046875}, {"start": 1493.74, "end": 1493.9, "word": " So", "probability": 0.92431640625}, {"start": 1493.9, "end": 1494.4, "word": " explore,", "probability": 0.317626953125}, {"start": 1494.98, "end": 1495.42, "word": " plus", "probability": 0.83154296875}, {"start": 1495.42, "end": 1495.56, "word": " or", "probability": 0.94580078125}, {"start": 1495.56, "end": 1495.82, "word": " minus", "probability": 0.990234375}, {"start": 1495.82, "end": 1496.2, "word": " T,", "probability": 0.81494140625}, {"start": 1496.42, "end": 1496.64, "word": " S", "probability": 0.8544921875}, {"start": 1496.64, "end": 1497.06, "word": " over", "probability": 0.87255859375}, {"start": 1497.06, "end": 1498.24, "word": " root", "probability": 0.8818359375}, {"start": 1498.24, "end": 1498.46, "word": " N.", "probability": 0.97216796875}, {"start": 1499.22, "end": 1499.46, "word": " So", "probability": 0.94873046875}, {"start": 1499.46, "end": 1499.68, "word": " use", "probability": 0.7705078125}, {"start": 1499.68, "end": 1499.92, "word": " the", "probability": 0.9150390625}, {"start": 1499.92, "end": 1500.34, "word": " same", "probability": 0.9091796875}, {"start": 1500.34, "end": 1501.52, "word": " idea", "probability": 0.9140625}, {"start": 1501.52, "end": 1501.84, "word": " for", "probability": 0.70703125}, {"start": 1501.84, "end": 1501.98, "word": " the", "probability": 0.9189453125}, {"start": 1501.98, "end": 1502.3, "word": " previous", "probability": 0.845703125}, {"start": 1502.3, "end": 1502.7, "word": " one.", "probability": 0.9287109375}, {"start": 1503.38, "end": 1503.7, "word": " And", "probability": 0.94873046875}, {"start": 1503.7, "end": 1503.82, "word": " the", "probability": 0.79296875}, {"start": 1503.82, "end": 1504.2, "word": " answer", "probability": 0.96044921875}, {"start": 1504.2, "end": 1505.92, "word": " for", "probability": 0.89208984375}, {"start": 1505.92, "end": 1506.22, "word": " number", "probability": 0.935546875}, {"start": 1506.22, "end": 1506.64, "word": " 10", "probability": 0.85693359375}, {"start": 1506.64, "end": 1508.54, "word": " is", "probability": 0.86474609375}, {"start": 1508.54, "end": 1508.9, "word": " part", "probability": 0.7705078125}, {"start": 1508.9, "end": 1509.22, "word": " D.", "probability": 0.96142578125}, {"start": 1509.48, "end": 1509.68, "word": " So", "probability": 0.95654296875}, {"start": 1509.68, "end": 1509.84, "word": " D", "probability": 0.9443359375}, {"start": 1509.84, "end": 1510.02, "word": " is", "probability": 0.94775390625}, {"start": 1510.02, "end": 1510.16, "word": " the", "probability": 0.91259765625}, {"start": 1510.16, "end": 1510.42, "word": " correct", "probability": 0.90576171875}, {"start": 1510.42, "end": 1510.84, "word": " answer.", "probability": 0.947265625}, {"start": 1512.62, "end": 1513.12, "word": " So", "probability": 0.95751953125}, {"start": 1513.12, "end": 1513.46, "word": " again,", "probability": 0.91552734375}], "temperature": 1.0}, {"id": 55, "seek": 153126, "start": 1514.48, "end": 1531.26, "text": " For eleven, D is the correct answer. For ten, D is the correct answer. Next. So this one is similar to the one we just did. Eleven.", "tokens": [1171, 21090, 11, 413, 307, 264, 3006, 1867, 13, 1171, 2064, 11, 413, 307, 264, 3006, 1867, 13, 3087, 13, 407, 341, 472, 307, 2531, 281, 264, 472, 321, 445, 630, 13, 48548, 13], "avg_logprob": -0.2018973239830562, "compression_ratio": 1.4193548387096775, "no_speech_prob": 0.0, "words": [{"start": 1514.48, "end": 1514.84, "word": " For", "probability": 0.61328125}, {"start": 1514.84, "end": 1515.3, "word": " eleven,", "probability": 0.439453125}, {"start": 1516.24, "end": 1516.44, "word": " D", "probability": 0.48388671875}, {"start": 1516.44, "end": 1516.88, "word": " is", "probability": 0.947265625}, {"start": 1516.88, "end": 1517.04, "word": " the", "probability": 0.8701171875}, {"start": 1517.04, "end": 1517.38, "word": " correct", "probability": 0.89990234375}, {"start": 1517.38, "end": 1517.76, "word": " answer.", "probability": 0.42138671875}, {"start": 1518.2, "end": 1518.34, "word": " For", "probability": 0.716796875}, {"start": 1518.34, "end": 1518.56, "word": " ten,", "probability": 0.8017578125}, {"start": 1518.8, "end": 1518.92, "word": " D", "probability": 0.9580078125}, {"start": 1518.92, "end": 1519.04, "word": " is", "probability": 0.94970703125}, {"start": 1519.04, "end": 1519.16, "word": " the", "probability": 0.89404296875}, {"start": 1519.16, "end": 1519.4, "word": " correct", "probability": 0.90234375}, {"start": 1519.4, "end": 1519.72, "word": " answer.", "probability": 0.9619140625}, {"start": 1521.2, "end": 1521.8, "word": " Next.", "probability": 0.875}, {"start": 1522.4, "end": 1522.68, "word": " So", "probability": 0.8173828125}, {"start": 1522.68, "end": 1522.88, "word": " this", "probability": 0.80517578125}, {"start": 1522.88, "end": 1523.08, "word": " one", "probability": 0.9150390625}, {"start": 1523.08, "end": 1523.26, "word": " is", "probability": 0.951171875}, {"start": 1523.26, "end": 1523.64, "word": " similar", "probability": 0.943359375}, {"start": 1523.64, "end": 1523.88, "word": " to", "probability": 0.9677734375}, {"start": 1523.88, "end": 1523.98, "word": " the", "probability": 0.9111328125}, {"start": 1523.98, "end": 1524.12, "word": " one", "probability": 0.92626953125}, {"start": 1524.12, "end": 1524.28, "word": " we", "probability": 0.93115234375}, {"start": 1524.28, "end": 1524.7, "word": " just", "probability": 0.8984375}, {"start": 1524.7, "end": 1526.28, "word": " did.", "probability": 0.89306640625}, {"start": 1530.66, "end": 1531.26, "word": " Eleven.", "probability": 0.822265625}], "temperature": 1.0}, {"id": 56, "seek": 156486, "start": 1547.14, "end": 1564.86, "text": " Here it says that rather than examine the records of all students, the dean took a random sample of size 200. So we have large university. Here we took representative sample of size 200.", "tokens": [1692, 309, 1619, 300, 2831, 813, 17496, 264, 7724, 295, 439, 1731, 11, 264, 31120, 1890, 257, 4974, 6889, 295, 2744, 2331, 13, 407, 321, 362, 2416, 5454, 13, 1692, 321, 1890, 12424, 6889, 295, 2744, 2331, 13], "avg_logprob": -0.21955128663625473, "compression_ratio": 1.4274809160305344, "no_speech_prob": 0.0, "words": [{"start": 1547.1399999999999, "end": 1547.86, "word": " Here", "probability": 0.264404296875}, {"start": 1547.86, "end": 1548.58, "word": " it", "probability": 0.77734375}, {"start": 1548.58, "end": 1548.84, "word": " says", "probability": 0.890625}, {"start": 1548.84, "end": 1549.14, "word": " that", "probability": 0.88232421875}, {"start": 1549.14, "end": 1549.5, "word": " rather", "probability": 0.8408203125}, {"start": 1549.5, "end": 1549.86, "word": " than", "probability": 0.9443359375}, {"start": 1549.86, "end": 1550.36, "word": " examine", "probability": 0.935546875}, {"start": 1550.36, "end": 1550.72, "word": " the", "probability": 0.91552734375}, {"start": 1550.72, "end": 1551.14, "word": " records", "probability": 0.90185546875}, {"start": 1551.14, "end": 1551.46, "word": " of", "probability": 0.9658203125}, {"start": 1551.46, "end": 1551.82, "word": " all", "probability": 0.9384765625}, {"start": 1551.82, "end": 1552.6, "word": " students,", "probability": 0.921875}, {"start": 1552.88, "end": 1554.02, "word": " the", "probability": 0.6748046875}, {"start": 1554.02, "end": 1554.34, "word": " dean", "probability": 0.8125}, {"start": 1554.34, "end": 1555.04, "word": " took", "probability": 0.921875}, {"start": 1555.04, "end": 1555.26, "word": " a", "probability": 0.54248046875}, {"start": 1555.26, "end": 1555.54, "word": " random", "probability": 0.64404296875}, {"start": 1555.54, "end": 1555.98, "word": " sample", "probability": 0.87451171875}, {"start": 1555.98, "end": 1556.22, "word": " of", "probability": 0.96435546875}, {"start": 1556.22, "end": 1556.5, "word": " size", "probability": 0.8173828125}, {"start": 1556.5, "end": 1556.98, "word": " 200.", "probability": 0.92578125}, {"start": 1557.72, "end": 1558.0, "word": " So", "probability": 0.95068359375}, {"start": 1558.0, "end": 1558.12, "word": " we", "probability": 0.8603515625}, {"start": 1558.12, "end": 1558.34, "word": " have", "probability": 0.9462890625}, {"start": 1558.34, "end": 1558.84, "word": " large", "probability": 0.58447265625}, {"start": 1558.84, "end": 1559.5, "word": " university.", "probability": 0.80712890625}, {"start": 1560.84, "end": 1561.1, "word": " Here", "probability": 0.849609375}, {"start": 1561.1, "end": 1561.34, "word": " we", "probability": 0.87109375}, {"start": 1561.34, "end": 1562.2, "word": " took", "probability": 0.90478515625}, {"start": 1562.2, "end": 1562.88, "word": " representative", "probability": 0.88818359375}, {"start": 1562.88, "end": 1563.76, "word": " sample", "probability": 0.8720703125}, {"start": 1563.76, "end": 1564.08, "word": " of", "probability": 0.96826171875}, {"start": 1564.08, "end": 1564.38, "word": " size", "probability": 0.8251953125}, {"start": 1564.38, "end": 1564.86, "word": " 200.", "probability": 0.935546875}], "temperature": 1.0}, {"id": 57, "seek": 159626, "start": 1586.98, "end": 1596.26, "text": " How many students would be to be assembled? It says that if the dean wanted to estimate the proportion of all students,", "tokens": [1012, 867, 1731, 576, 312, 281, 312, 24204, 30, 467, 1619, 300, 498, 264, 31120, 1415, 281, 12539, 264, 16068, 295, 439, 1731, 11], "avg_logprob": -0.22546875, "compression_ratio": 1.2244897959183674, "no_speech_prob": 0.0, "words": [{"start": 1586.9799999999998, "end": 1587.62, "word": " How", "probability": 0.136962890625}, {"start": 1587.62, "end": 1588.26, "word": " many", "probability": 0.900390625}, {"start": 1588.26, "end": 1588.98, "word": " students", "probability": 0.97216796875}, {"start": 1588.98, "end": 1589.28, "word": " would", "probability": 0.8837890625}, {"start": 1589.28, "end": 1589.64, "word": " be", "probability": 0.91455078125}, {"start": 1589.64, "end": 1589.96, "word": " to", "probability": 0.88037109375}, {"start": 1589.96, "end": 1590.22, "word": " be", "probability": 0.96240234375}, {"start": 1590.22, "end": 1590.58, "word": " assembled?", "probability": 0.392333984375}, {"start": 1591.58, "end": 1591.9, "word": " It", "probability": 0.92333984375}, {"start": 1591.9, "end": 1592.1, "word": " says", "probability": 0.841796875}, {"start": 1592.1, "end": 1592.32, "word": " that", "probability": 0.90966796875}, {"start": 1592.32, "end": 1592.5, "word": " if", "probability": 0.84375}, {"start": 1592.5, "end": 1592.66, "word": " the", "probability": 0.85546875}, {"start": 1592.66, "end": 1592.84, "word": " dean", "probability": 0.9169921875}, {"start": 1592.84, "end": 1593.3, "word": " wanted", "probability": 0.88134765625}, {"start": 1593.3, "end": 1593.74, "word": " to", "probability": 0.96630859375}, {"start": 1593.74, "end": 1594.22, "word": " estimate", "probability": 0.9306640625}, {"start": 1594.22, "end": 1594.54, "word": " the", "probability": 0.91748046875}, {"start": 1594.54, "end": 1594.98, "word": " proportion", "probability": 0.8369140625}, {"start": 1594.98, "end": 1595.28, "word": " of", "probability": 0.96923828125}, {"start": 1595.28, "end": 1595.54, "word": " all", "probability": 0.94189453125}, {"start": 1595.54, "end": 1596.26, "word": " students,", "probability": 0.75439453125}], "temperature": 1.0}, {"id": 58, "seek": 162578, "start": 1597.0, "end": 1625.78, "text": " The saving financial aid to within 3% with 99% probability. How many students would need to be sampled? So we have the formula, if you remember, n equals z y 1 minus y divided by e. So we have z squared. 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Now in this problem, it says that Dean selected 200 students, and he finds that out of this number, 118 of them are receiving financial aid. So based on this information, we can compute B. So B is x over n. It's 118 divided by 200. 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That means the proportion, the sample proportion, is 118 divided by 200, which is 0.59. So we have to use this information instead of pi. So n equals, now it's about 99%.", "tokens": [407, 294, 341, 1389, 11, 484, 295, 2331, 1731, 11, 2975, 23, 295, 552, 366, 10040, 4669, 9418, 13, 663, 1355, 264, 16068, 11, 264, 6889, 16068, 11, 307, 2975, 23, 6666, 538, 2331, 11, 597, 307, 1958, 13, 19600, 13, 407, 321, 362, 281, 764, 341, 1589, 2602, 295, 3895, 13, 407, 297, 6915, 11, 586, 309, 311, 466, 11803, 6856], "avg_logprob": -0.16319445012107728, "compression_ratio": 1.4124293785310735, "no_speech_prob": 0.0, "words": [{"start": 1661.09, "end": 1661.35, "word": " So", "probability": 0.89111328125}, {"start": 1661.35, "end": 1661.47, "word": " in", "probability": 0.8212890625}, {"start": 1661.47, "end": 1661.63, "word": " this", "probability": 0.94677734375}, {"start": 1661.63, "end": 1662.03, "word": " case,", "probability": 0.91015625}, {"start": 1662.73, "end": 1663.55, "word": " out", "probability": 0.87890625}, {"start": 1663.55, "end": 1663.83, "word": " of", "probability": 0.970703125}, {"start": 1663.83, "end": 1664.45, "word": " 200", "probability": 0.8916015625}, {"start": 1664.45, "end": 1665.09, "word": " students,", "probability": 0.97265625}, {"start": 1665.27, "end": 1665.81, "word": " 118", "probability": 0.912109375}, {"start": 1665.81, "end": 1666.05, "word": " of", "probability": 0.95703125}, {"start": 1666.05, "end": 1666.31, "word": " them", "probability": 0.89794921875}, {"start": 1666.31, "end": 1666.61, "word": " are", "probability": 0.939453125}, {"start": 1666.61, "end": 1666.97, "word": " receiving", "probability": 0.91748046875}, {"start": 1666.97, "end": 1667.45, "word": " financial", "probability": 0.87939453125}, {"start": 1667.45, "end": 1667.77, "word": " aid.", "probability": 0.9384765625}, {"start": 1668.63, "end": 1669.09, "word": " That", "probability": 0.8544921875}, {"start": 1669.09, "end": 1669.37, "word": " means", "probability": 0.92626953125}, {"start": 1669.37, "end": 1669.63, "word": " the", "probability": 0.857421875}, {"start": 1669.63, "end": 1670.15, "word": " proportion,", "probability": 0.76025390625}, {"start": 1670.67, "end": 1670.99, "word": " the", "probability": 0.89306640625}, {"start": 1670.99, "end": 1671.29, "word": " sample", "probability": 0.77783203125}, {"start": 1671.29, "end": 1671.85, "word": " proportion,", "probability": 0.8076171875}, {"start": 1672.83, "end": 1673.03, "word": " is", "probability": 0.94189453125}, {"start": 1673.03, "end": 1673.47, "word": " 118", "probability": 0.94384765625}, {"start": 1673.47, "end": 1673.73, "word": " divided", "probability": 0.7490234375}, {"start": 1673.73, "end": 1673.91, "word": " by", "probability": 0.97314453125}, {"start": 1673.91, "end": 1674.31, "word": " 200,", "probability": 0.92724609375}, {"start": 1674.49, "end": 1674.69, "word": " which", "probability": 0.9453125}, {"start": 1674.69, "end": 1674.93, "word": " is", "probability": 0.94189453125}, {"start": 1674.93, "end": 1675.17, "word": " 0", "probability": 0.84619140625}, {"start": 1675.17, "end": 1675.71, "word": ".59.", "probability": 0.9951171875}, {"start": 1676.21, "end": 1676.67, "word": " So", "probability": 0.95654296875}, {"start": 1676.67, "end": 1676.81, "word": " we", "probability": 0.9287109375}, {"start": 1676.81, "end": 1676.99, "word": " have", "probability": 0.9462890625}, {"start": 1676.99, "end": 1677.13, "word": " to", "probability": 0.96826171875}, {"start": 1677.13, "end": 1677.35, "word": " use", "probability": 0.8740234375}, {"start": 1677.35, "end": 1677.69, "word": " this", "probability": 0.95166015625}, {"start": 1677.69, "end": 1678.33, "word": " information", "probability": 0.830078125}, {"start": 1678.33, "end": 1680.35, "word": " instead", "probability": 0.8134765625}, {"start": 1680.35, "end": 1680.67, "word": " of", "probability": 0.9677734375}, {"start": 1680.67, "end": 1680.97, "word": " pi.", "probability": 0.350830078125}, {"start": 1682.67, "end": 1683.17, "word": " So", "probability": 0.890625}, {"start": 1683.17, "end": 1683.37, "word": " n", "probability": 0.6630859375}, {"start": 1683.37, "end": 1683.83, "word": " equals,", "probability": 0.93359375}, {"start": 1688.05, "end": 1688.41, "word": " now", "probability": 0.75537109375}, {"start": 1688.41, "end": 1688.57, "word": " it's", "probability": 0.929931640625}, {"start": 1688.57, "end": 1688.79, "word": " about", "probability": 0.9208984375}, {"start": 1688.79, "end": 1689.55, "word": " 99%.", "probability": 0.4798583984375}], "temperature": 1.0}, {"id": 61, "seek": 171272, "start": 1691.72, "end": 1712.72, "text": " 2.85. Exactly, it's one of these. We have 2.57 and 8. It says 99%. So here we have 99%. So what's left?", "tokens": [568, 13, 19287, 13, 7587, 11, 309, 311, 472, 295, 613, 13, 492, 362, 568, 13, 19004, 293, 1649, 13, 467, 1619, 11803, 6856, 407, 510, 321, 362, 11803, 6856, 407, 437, 311, 1411, 30], "avg_logprob": -0.2816840137044589, "compression_ratio": 1.0612244897959184, "no_speech_prob": 0.0, "words": [{"start": 1691.72, "end": 1691.96, "word": " 2", "probability": 0.353271484375}, {"start": 1691.96, "end": 1692.48, "word": ".85.", "probability": 0.79052734375}, {"start": 1693.26, "end": 1693.84, "word": " Exactly,", "probability": 0.31005859375}, {"start": 1694.16, "end": 1694.4, "word": " it's", "probability": 0.885986328125}, {"start": 1694.4, "end": 1694.96, "word": " one", "probability": 0.87060546875}, {"start": 1694.96, "end": 1695.12, "word": " of", "probability": 0.9677734375}, {"start": 1695.12, "end": 1695.36, "word": " these.", "probability": 0.86181640625}, {"start": 1696.0, "end": 1696.26, "word": " We", "probability": 0.830078125}, {"start": 1696.26, "end": 1696.56, "word": " have", "probability": 0.94970703125}, {"start": 1696.56, "end": 1696.94, "word": " 2", "probability": 0.9541015625}, {"start": 1696.94, "end": 1698.14, "word": ".57", "probability": 0.887451171875}, {"start": 1698.14, "end": 1701.38, "word": " and", "probability": 0.69287109375}, {"start": 1701.38, "end": 1701.74, "word": " 8.", "probability": 0.55419921875}, {"start": 1704.08, "end": 1704.8, "word": " It", "probability": 0.83251953125}, {"start": 1704.8, "end": 1705.1, "word": " says", "probability": 0.857421875}, {"start": 1705.1, "end": 1707.14, "word": " 99%.", "probability": 0.6357421875}, {"start": 1707.14, "end": 1710.22, "word": " So", "probability": 0.91796875}, {"start": 1710.22, "end": 1710.4, "word": " here", "probability": 0.79443359375}, {"start": 1710.4, "end": 1710.58, "word": " we", "probability": 0.8076171875}, {"start": 1710.58, "end": 1710.72, "word": " have", "probability": 0.94873046875}, {"start": 1710.72, "end": 1711.6, "word": " 99%.", "probability": 0.873046875}, {"start": 1711.6, "end": 1712.26, "word": " So", "probability": 0.91845703125}, {"start": 1712.26, "end": 1712.5, "word": " what's", "probability": 0.927490234375}, {"start": 1712.5, "end": 1712.72, "word": " left?", "probability": 0.931640625}], "temperature": 1.0}, {"id": 62, "seek": 174322, "start": 1722.18, "end": 1743.22, "text": " 0.5 percent, this area. 0.5 to the right and 0.5 to the left, so 005. Now if you look at 2.5 under 7, the answer is 0051, the other one 0049. So either this one or the other value, so 2.57.", "tokens": [1958, 13, 20, 3043, 11, 341, 1859, 13, 1958, 13, 20, 281, 264, 558, 293, 1958, 13, 20, 281, 264, 1411, 11, 370, 7143, 20, 13, 823, 498, 291, 574, 412, 568, 13, 20, 833, 1614, 11, 264, 1867, 307, 7143, 18682, 11, 264, 661, 472, 7143, 14938, 13, 407, 2139, 341, 472, 420, 264, 661, 2158, 11, 370, 568, 13, 19004, 13], "avg_logprob": -0.21594238048419356, "compression_ratio": 1.4179104477611941, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1722.18, "end": 1722.34, "word": " 0", "probability": 0.486572265625}, {"start": 1722.34, "end": 1722.74, "word": ".5", "probability": 0.970703125}, {"start": 1722.74, "end": 1723.12, "word": " percent,", "probability": 0.27197265625}, {"start": 1723.62, "end": 1723.8, "word": " this", "probability": 0.837890625}, {"start": 1723.8, "end": 1724.14, "word": " area.", "probability": 0.873046875}, {"start": 1725.72, "end": 1725.96, "word": " 0", "probability": 0.82666015625}, {"start": 1725.96, "end": 1726.26, "word": ".5", "probability": 0.994873046875}, {"start": 1726.26, "end": 1726.44, "word": " to", "probability": 0.95703125}, {"start": 1726.44, "end": 1726.56, "word": " the", "probability": 0.9130859375}, {"start": 1726.56, "end": 1726.74, "word": " right", "probability": 0.904296875}, {"start": 1726.74, "end": 1726.9, "word": " and", "probability": 0.72021484375}, {"start": 1726.9, "end": 1727.08, "word": " 0", "probability": 0.97509765625}, {"start": 1727.08, "end": 1727.32, "word": ".5", "probability": 0.99853515625}, {"start": 1727.32, "end": 1727.48, "word": " to", "probability": 0.96533203125}, {"start": 1727.48, "end": 1727.6, "word": " the", "probability": 0.92041015625}, {"start": 1727.6, "end": 1727.76, "word": " left,", "probability": 0.92626953125}, {"start": 1728.0, "end": 1728.0, "word": " so", "probability": 0.93310546875}, {"start": 1728.0, "end": 1729.44, "word": " 005.", "probability": 0.6776123046875}, {"start": 1730.48, "end": 1730.96, "word": " Now", "probability": 0.9482421875}, {"start": 1730.96, "end": 1731.12, "word": " if", "probability": 0.5966796875}, {"start": 1731.12, "end": 1731.2, "word": " you", "probability": 0.9248046875}, {"start": 1731.2, "end": 1731.36, "word": " look", "probability": 0.96728515625}, {"start": 1731.36, "end": 1731.52, "word": " at", "probability": 0.9609375}, {"start": 1731.52, "end": 1731.8, "word": " 2", "probability": 0.970703125}, {"start": 1731.8, "end": 1732.28, "word": ".5", "probability": 0.9287109375}, {"start": 1732.28, "end": 1732.5, "word": " under", "probability": 0.417724609375}, {"start": 1732.5, "end": 1732.86, "word": " 7,", "probability": 0.63916015625}, {"start": 1733.1, "end": 1733.26, "word": " the", "probability": 0.89453125}, {"start": 1733.26, "end": 1733.58, "word": " answer", "probability": 0.951171875}, {"start": 1733.58, "end": 1733.84, "word": " is", "probability": 0.9453125}, {"start": 1733.84, "end": 1735.58, "word": " 0051,", "probability": 0.86083984375}, {"start": 1735.98, "end": 1736.08, "word": " the", "probability": 0.74560546875}, {"start": 1736.08, "end": 1736.28, "word": " other", "probability": 0.8857421875}, {"start": 1736.28, "end": 1736.5, "word": " one", "probability": 0.8984375}, {"start": 1736.5, "end": 1737.28, "word": " 0049.", "probability": 0.83203125}, {"start": 1739.84, "end": 1740.24, "word": " So", "probability": 0.8359375}, {"start": 1740.24, "end": 1740.46, "word": " either", "probability": 0.8564453125}, {"start": 1740.46, "end": 1740.78, "word": " this", "probability": 0.94677734375}, {"start": 1740.78, "end": 1741.0, "word": " one", "probability": 0.9306640625}, {"start": 1741.0, "end": 1741.22, "word": " or", "probability": 0.9130859375}, {"start": 1741.22, "end": 1741.4, "word": " the", "probability": 0.58251953125}, {"start": 1741.4, "end": 1741.62, "word": " other", "probability": 0.8720703125}, {"start": 1741.62, "end": 1742.02, "word": " value,", "probability": 0.5380859375}, {"start": 1742.14, "end": 1742.3, "word": " so", "probability": 0.9189453125}, {"start": 1742.3, "end": 1742.6, "word": " 2", "probability": 0.98681640625}, {"start": 1742.6, "end": 1743.22, "word": ".57.", "probability": 0.9892578125}], "temperature": 1.0}, {"id": 63, "seek": 177272, "start": 1744.3, "end": 1772.72, "text": " or 2.58, it's better to take the average of these two. Because 005 lies exactly between these two values. So the score in this case, either 2.75 or 2.78, or the average. And the exact one, 2.7, I'm sorry, 2.576.", "tokens": [420, 568, 13, 20419, 11, 309, 311, 1101, 281, 747, 264, 4274, 295, 613, 732, 13, 1436, 7143, 20, 9134, 2293, 1296, 613, 732, 4190, 13, 407, 264, 6175, 294, 341, 1389, 11, 2139, 568, 13, 11901, 420, 568, 13, 30693, 11, 420, 264, 4274, 13, 400, 264, 1900, 472, 11, 568, 13, 22, 11, 286, 478, 2597, 11, 568, 13, 19004, 21, 13], "avg_logprob": -0.16622596153846153, "compression_ratio": 1.4228187919463087, "no_speech_prob": 0.0, "words": [{"start": 1744.3, "end": 1744.6, "word": " or", "probability": 0.37744140625}, {"start": 1744.6, "end": 1744.84, "word": " 2", "probability": 0.986328125}, {"start": 1744.84, "end": 1745.54, "word": ".58,", "probability": 0.989501953125}, {"start": 1745.86, "end": 1746.06, "word": " it's", "probability": 0.9345703125}, {"start": 1746.06, "end": 1746.26, "word": " better", "probability": 0.9140625}, {"start": 1746.26, "end": 1746.48, "word": " to", "probability": 0.95849609375}, {"start": 1746.48, "end": 1746.74, "word": " take", "probability": 0.86474609375}, {"start": 1746.74, "end": 1746.9, "word": " the", "probability": 0.896484375}, {"start": 1746.9, "end": 1747.22, "word": " average", "probability": 0.7900390625}, {"start": 1747.22, "end": 1747.42, "word": " of", "probability": 0.94775390625}, {"start": 1747.42, "end": 1747.6, "word": " these", "probability": 0.85009765625}, {"start": 1747.6, "end": 1747.86, "word": " two.", "probability": 0.8916015625}, {"start": 1748.26, "end": 1748.82, "word": " Because", "probability": 0.92626953125}, {"start": 1748.82, "end": 1749.96, "word": " 005", "probability": 0.84619140625}, {"start": 1749.96, "end": 1750.88, "word": " lies", "probability": 0.90966796875}, {"start": 1750.88, "end": 1751.56, "word": " exactly", "probability": 0.908203125}, {"start": 1751.56, "end": 1752.76, "word": " between", "probability": 0.86572265625}, {"start": 1752.76, "end": 1753.12, "word": " these", "probability": 0.8603515625}, {"start": 1753.12, "end": 1753.32, "word": " two", "probability": 0.92529296875}, {"start": 1753.32, "end": 1753.64, "word": " values.", "probability": 0.94189453125}, {"start": 1753.8, "end": 1754.18, "word": " So", "probability": 0.9423828125}, {"start": 1754.18, "end": 1755.84, "word": " the", "probability": 0.27587890625}, {"start": 1755.84, "end": 1756.24, "word": " score", "probability": 0.8525390625}, {"start": 1756.24, "end": 1756.44, "word": " in", "probability": 0.72265625}, {"start": 1756.44, "end": 1756.62, "word": " this", "probability": 0.9443359375}, {"start": 1756.62, "end": 1756.98, "word": " case,", "probability": 0.89013671875}, {"start": 1758.0, "end": 1758.24, "word": " either", "probability": 0.8916015625}, {"start": 1758.24, "end": 1758.56, "word": " 2", "probability": 0.99072265625}, {"start": 1758.56, "end": 1759.16, "word": ".75", "probability": 0.992919921875}, {"start": 1759.16, "end": 1760.78, "word": " or", "probability": 0.83935546875}, {"start": 1760.78, "end": 1762.14, "word": " 2", "probability": 0.99169921875}, {"start": 1762.14, "end": 1762.7, "word": ".78,", "probability": 0.996826171875}, {"start": 1763.82, "end": 1765.06, "word": " or", "probability": 0.9169921875}, {"start": 1765.06, "end": 1765.24, "word": " the", "probability": 0.9130859375}, {"start": 1765.24, "end": 1765.7, "word": " average.", "probability": 0.7880859375}, {"start": 1766.58, "end": 1766.96, "word": " And", "probability": 0.94970703125}, {"start": 1766.96, "end": 1767.14, "word": " the", "probability": 0.90380859375}, {"start": 1767.14, "end": 1767.56, "word": " exact", "probability": 0.93896484375}, {"start": 1767.56, "end": 1767.92, "word": " one,", "probability": 0.93701171875}, {"start": 1769.18, "end": 1769.36, "word": " 2", "probability": 0.97265625}, {"start": 1769.36, "end": 1770.08, "word": ".7,", "probability": 0.929931640625}, {"start": 1770.64, "end": 1770.88, "word": " I'm", "probability": 0.98193359375}, {"start": 1770.88, "end": 1771.06, "word": " sorry,", "probability": 0.837890625}, {"start": 1771.36, "end": 1771.64, "word": " 2", "probability": 0.9970703125}, {"start": 1771.64, "end": 1772.72, "word": ".576.", "probability": 0.8821614583333334}], "temperature": 1.0}, {"id": 64, "seek": 180202, "start": 1773.66, "end": 1802.02, "text": " The exact answer. It's better to use the average if you don't remember the exact answer. So it's the exact one. But 2.575 is okay. Now just use this equation, 2.575 times square, times 59.", "tokens": [440, 1900, 1867, 13, 467, 311, 1101, 281, 764, 264, 4274, 498, 291, 500, 380, 1604, 264, 1900, 1867, 13, 407, 309, 311, 264, 1900, 472, 13, 583, 568, 13, 20, 11901, 307, 1392, 13, 823, 445, 764, 341, 5367, 11, 568, 13, 20, 11901, 1413, 3732, 11, 1413, 24624, 13], "avg_logprob": -0.19531250114624316, "compression_ratio": 1.4104477611940298, "no_speech_prob": 0.0, "words": [{"start": 1773.66, "end": 1773.94, "word": " The", "probability": 0.214111328125}, {"start": 1773.94, "end": 1774.34, "word": " exact", "probability": 0.9287109375}, {"start": 1774.34, "end": 1774.68, "word": " answer.", "probability": 0.939453125}, {"start": 1778.0, "end": 1778.8, "word": " It's", "probability": 0.906494140625}, {"start": 1778.8, "end": 1779.02, "word": " better", "probability": 0.91015625}, {"start": 1779.02, "end": 1779.2, "word": " to", "probability": 0.95361328125}, {"start": 1779.2, "end": 1779.4, "word": " use", "probability": 0.87939453125}, {"start": 1779.4, "end": 1779.52, "word": " the", "probability": 0.88134765625}, {"start": 1779.52, "end": 1779.92, "word": " average", "probability": 0.79296875}, {"start": 1779.92, "end": 1780.32, "word": " if", "probability": 0.81298828125}, {"start": 1780.32, "end": 1780.46, "word": " you", "probability": 0.9599609375}, {"start": 1780.46, "end": 1780.7, "word": " don't", "probability": 0.971435546875}, {"start": 1780.7, "end": 1781.18, "word": " remember", "probability": 0.86279296875}, {"start": 1781.18, "end": 1783.34, "word": " the", "probability": 0.75927734375}, {"start": 1783.34, "end": 1783.84, "word": " exact", "probability": 0.94384765625}, {"start": 1783.84, "end": 1784.28, "word": " answer.", "probability": 0.95654296875}, {"start": 1784.94, "end": 1785.16, "word": " So", "probability": 0.9150390625}, {"start": 1785.16, "end": 1785.32, "word": " it's", "probability": 0.775634765625}, {"start": 1785.32, "end": 1785.5, "word": " the", "probability": 0.9189453125}, {"start": 1785.5, "end": 1785.82, "word": " exact", "probability": 0.9404296875}, {"start": 1785.82, "end": 1786.1, "word": " one.", "probability": 0.93359375}, {"start": 1787.48, "end": 1787.74, "word": " But", "probability": 0.76123046875}, {"start": 1787.74, "end": 1787.92, "word": " 2", "probability": 0.943359375}, {"start": 1787.92, "end": 1788.9, "word": ".575", "probability": 0.9443359375}, {"start": 1788.9, "end": 1789.64, "word": " is", "probability": 0.931640625}, {"start": 1789.64, "end": 1789.92, "word": " okay.", "probability": 0.77978515625}, {"start": 1791.3, "end": 1791.56, "word": " Now", "probability": 0.88623046875}, {"start": 1791.56, "end": 1791.82, "word": " just", "probability": 0.68017578125}, {"start": 1791.82, "end": 1792.14, "word": " use", "probability": 0.87060546875}, {"start": 1792.14, "end": 1792.66, "word": " this", "probability": 0.947265625}, {"start": 1792.66, "end": 1793.12, "word": " equation,", "probability": 0.97607421875}, {"start": 1793.3, "end": 1793.44, "word": " 2", "probability": 0.9912109375}, {"start": 1793.44, "end": 1795.6, "word": ".575", "probability": 0.97314453125}, {"start": 1795.6, "end": 1798.0, "word": " times", "probability": 0.56103515625}, {"start": 1798.0, "end": 1798.48, "word": " square,", "probability": 0.32763671875}, {"start": 1800.0, "end": 1800.62, "word": " times", "probability": 0.916015625}, {"start": 1800.62, "end": 1802.02, "word": " 59.", "probability": 0.93408203125}], "temperature": 1.0}, {"id": 65, "seek": 183114, "start": 1803.9, "end": 1831.14, "text": " 1 minus 59 divided by the error. It's three percent. So it's 0.0312 squared. So the answer in this case is part 2.57 times 59 times 41 divided by 03 squared. The answer is part.", "tokens": [502, 3175, 24624, 6666, 538, 264, 6713, 13, 467, 311, 1045, 3043, 13, 407, 309, 311, 1958, 13, 11592, 4762, 8889, 13, 407, 264, 1867, 294, 341, 1389, 307, 644, 568, 13, 19004, 1413, 24624, 1413, 18173, 6666, 538, 43677, 8889, 13, 440, 1867, 307, 644, 13], "avg_logprob": -0.23567707712451616, "compression_ratio": 1.424, "no_speech_prob": 0.0, "words": [{"start": 1803.9, "end": 1804.12, "word": " 1", "probability": 0.57275390625}, {"start": 1804.12, "end": 1804.48, "word": " minus", "probability": 0.97314453125}, {"start": 1804.48, "end": 1804.88, "word": " 59", "probability": 0.96240234375}, {"start": 1804.88, "end": 1806.9, "word": " divided", "probability": 0.465576171875}, {"start": 1806.9, "end": 1807.26, "word": " by", "probability": 0.9638671875}, {"start": 1807.26, "end": 1807.44, "word": " the", "probability": 0.8935546875}, {"start": 1807.44, "end": 1807.74, "word": " error.", "probability": 0.74951171875}, {"start": 1808.78, "end": 1809.18, "word": " It's", "probability": 0.9375}, {"start": 1809.18, "end": 1809.44, "word": " three", "probability": 0.1202392578125}, {"start": 1809.44, "end": 1809.64, "word": " percent.", "probability": 0.246337890625}, {"start": 1810.4, "end": 1810.92, "word": " So", "probability": 0.921875}, {"start": 1810.92, "end": 1811.16, "word": " it's", "probability": 0.911865234375}, {"start": 1811.16, "end": 1811.44, "word": " 0", "probability": 0.8935546875}, {"start": 1811.44, "end": 1813.34, "word": ".0312", "probability": 0.88134765625}, {"start": 1813.34, "end": 1813.8, "word": " squared.", "probability": 0.56396484375}, {"start": 1816.26, "end": 1816.98, "word": " So", "probability": 0.9365234375}, {"start": 1816.98, "end": 1817.26, "word": " the", "probability": 0.89208984375}, {"start": 1817.26, "end": 1817.58, "word": " answer", "probability": 0.95361328125}, {"start": 1817.58, "end": 1817.8, "word": " in", "probability": 0.86181640625}, {"start": 1817.8, "end": 1817.98, "word": " this", "probability": 0.9423828125}, {"start": 1817.98, "end": 1818.24, "word": " case", "probability": 0.9091796875}, {"start": 1818.24, "end": 1818.46, "word": " is", "probability": 0.92333984375}, {"start": 1818.46, "end": 1818.72, "word": " part", "probability": 0.720703125}, {"start": 1818.72, "end": 1823.42, "word": " 2", "probability": 0.8291015625}, {"start": 1823.42, "end": 1824.06, "word": ".57", "probability": 0.995849609375}, {"start": 1824.06, "end": 1825.3, "word": " times", "probability": 0.912109375}, {"start": 1825.3, "end": 1825.9, "word": " 59", "probability": 0.9794921875}, {"start": 1825.9, "end": 1826.64, "word": " times", "probability": 0.90478515625}, {"start": 1826.64, "end": 1827.14, "word": " 41", "probability": 0.97705078125}, {"start": 1827.14, "end": 1827.76, "word": " divided", "probability": 0.7470703125}, {"start": 1827.76, "end": 1828.02, "word": " by", "probability": 0.97216796875}, {"start": 1828.02, "end": 1828.44, "word": " 03", "probability": 0.58447265625}, {"start": 1828.44, "end": 1829.2, "word": " squared.", "probability": 0.85791015625}, {"start": 1829.98, "end": 1830.3, "word": " The", "probability": 0.8759765625}, {"start": 1830.3, "end": 1830.6, "word": " answer", "probability": 0.95361328125}, {"start": 1830.6, "end": 1830.84, "word": " is", "probability": 0.9453125}, {"start": 1830.84, "end": 1831.14, "word": " part.", "probability": 0.89794921875}], "temperature": 1.0}, {"id": 66, "seek": 186505, "start": 1841.65, "end": 1865.05, "text": " You will get the exact answer if you use 2.576. You will get the exact answer. But anyway, if you use one of these, you will get approximate answer to be 1784. Any question? 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That means the sample proportion is 118 divided by 200, which gives 0.59. So we have to use 59% as the sample proportion. Is it clear?", "tokens": [2602, 295, 1958, 13, 20, 11, 570, 264, 31120, 8209, 257, 4974, 6889, 295, 2744, 2331, 11, 293, 415, 10704, 300, 2975, 23, 295, 552, 366, 10040, 4669, 9418, 13, 663, 1355, 264, 6889, 16068, 307, 2975, 23, 6666, 538, 2331, 11, 597, 2709, 1958, 13, 19600, 13, 407, 321, 362, 281, 764, 24624, 4, 382, 264, 6889, 16068, 13, 1119, 309, 1850, 30], "avg_logprob": -0.13689903846153847, "compression_ratio": 1.4887640449438202, "no_speech_prob": 0.0, "words": [{"start": 1866.68, "end": 1867.22, "word": " instead", "probability": 0.56982421875}, {"start": 1867.22, "end": 1867.88, "word": " of", "probability": 0.9658203125}, {"start": 1867.88, "end": 1868.44, "word": " 0", "probability": 0.5146484375}, {"start": 1868.44, "end": 1868.78, "word": ".5,", "probability": 0.989013671875}, {"start": 1868.9, "end": 1869.22, "word": " because", "probability": 0.8955078125}, {"start": 1869.22, "end": 1869.82, "word": " the", "probability": 0.9013671875}, {"start": 1869.82, "end": 1871.24, "word": " dean", "probability": 0.796875}, {"start": 1871.24, "end": 1871.76, "word": " selected", "probability": 0.876953125}, {"start": 1871.76, "end": 1871.94, "word": " a", "probability": 0.947265625}, {"start": 1871.94, "end": 1872.14, "word": " random", "probability": 0.8525390625}, {"start": 1872.14, "end": 1872.48, "word": " sample", "probability": 0.8515625}, {"start": 1872.48, "end": 1872.66, "word": " of", "probability": 0.943359375}, {"start": 1872.66, "end": 1872.88, "word": " size", "probability": 0.82568359375}, {"start": 1872.88, "end": 1873.3, "word": " 200,", "probability": 0.94287109375}, {"start": 1873.5, "end": 1873.64, "word": " and", "probability": 0.9296875}, {"start": 1873.64, "end": 1873.8, "word": " he", "probability": 0.96337890625}, {"start": 1873.8, "end": 1874.12, "word": " finds", "probability": 0.89306640625}, {"start": 1874.12, "end": 1874.58, "word": " that", "probability": 0.93359375}, {"start": 1874.58, "end": 1876.12, "word": " 118", "probability": 0.826171875}, {"start": 1876.12, "end": 1876.58, "word": " of", "probability": 0.96728515625}, {"start": 1876.58, "end": 1876.82, "word": " them", "probability": 0.89892578125}, {"start": 1876.82, "end": 1877.02, "word": " are", "probability": 0.939453125}, {"start": 1877.02, "end": 1877.38, "word": " receiving", "probability": 0.91845703125}, {"start": 1877.38, "end": 1877.86, "word": " financial", "probability": 0.8701171875}, {"start": 1877.86, "end": 1878.22, "word": " aid.", "probability": 0.95703125}, {"start": 1878.84, "end": 1879.2, "word": " That", "probability": 0.9052734375}, {"start": 1879.2, "end": 1879.56, "word": " means", "probability": 0.92822265625}, {"start": 1879.56, "end": 1880.08, "word": " the", "probability": 0.8798828125}, {"start": 1880.08, "end": 1880.94, "word": " sample", "probability": 0.84228515625}, {"start": 1880.94, "end": 1881.48, "word": " proportion", "probability": 0.7412109375}, {"start": 1881.48, "end": 1882.92, "word": " is", "probability": 0.921875}, {"start": 1882.92, "end": 1884.16, "word": " 118", "probability": 0.952392578125}, {"start": 1884.16, "end": 1884.46, "word": " divided", "probability": 0.77587890625}, {"start": 1884.46, "end": 1884.6, "word": " by", "probability": 0.96630859375}, {"start": 1884.6, "end": 1884.98, "word": " 200,", "probability": 0.9208984375}, {"start": 1885.36, "end": 1885.7, "word": " which", "probability": 0.95068359375}, {"start": 1885.7, "end": 1885.94, "word": " gives", "probability": 0.8505859375}, {"start": 1885.94, "end": 1886.2, "word": " 0", "probability": 0.96337890625}, {"start": 1886.2, "end": 1886.68, "word": ".59.", "probability": 0.99755859375}, {"start": 1887.2, "end": 1887.38, "word": " So", "probability": 0.95263671875}, {"start": 1887.38, "end": 1887.48, "word": " we", "probability": 0.86083984375}, {"start": 1887.48, "end": 1887.6, "word": " have", "probability": 0.9462890625}, {"start": 1887.6, "end": 1887.7, "word": " to", "probability": 0.970703125}, {"start": 1887.7, "end": 1887.94, "word": " use", "probability": 0.88037109375}, {"start": 1887.94, "end": 1888.66, "word": " 59", "probability": 0.98388671875}, {"start": 1888.66, "end": 1889.48, "word": "%", "probability": 0.95263671875}, {"start": 1889.48, "end": 1890.2, "word": " as", "probability": 0.9501953125}, {"start": 1890.2, "end": 1890.42, "word": " the", "probability": 0.8818359375}, {"start": 1890.42, "end": 1890.82, "word": " sample", "probability": 0.8779296875}, {"start": 1890.82, "end": 1891.6, "word": " proportion.", "probability": 0.69189453125}, {"start": 1892.96, "end": 1893.68, "word": " Is", "probability": 0.95703125}, {"start": 1893.68, "end": 1893.82, "word": " it", "probability": 0.86083984375}, {"start": 1893.82, "end": 1894.1, "word": " clear?", "probability": 0.91259765625}], "temperature": 1.0}, {"id": 68, "seek": 192392, "start": 1896.68, "end": 1923.92, "text": " Next, number three. An economist is interested in studying the incomes of consumers in a particular region. The population standard deviation is known to be 1,000. A random sample of 50 individuals resulted in an average income of $15,000.", "tokens": [3087, 11, 1230, 1045, 13, 1107, 36696, 307, 3102, 294, 7601, 264, 42458, 295, 11883, 294, 257, 1729, 4458, 13, 440, 4415, 3832, 25163, 307, 2570, 281, 312, 502, 11, 1360, 13, 316, 4974, 6889, 295, 2625, 5346, 18753, 294, 364, 4274, 5742, 295, 1848, 5211, 11, 1360, 13], "avg_logprob": -0.13820311933755874, "compression_ratio": 1.3953488372093024, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1896.68, "end": 1897.16, "word": " Next,", "probability": 0.89990234375}, {"start": 1898.04, "end": 1898.36, "word": " number", "probability": 0.857421875}, {"start": 1898.36, "end": 1898.76, "word": " three.", "probability": 0.429443359375}, {"start": 1901.7, "end": 1902.04, "word": " An", "probability": 0.9521484375}, {"start": 1902.04, "end": 1902.6, "word": " economist", "probability": 0.88232421875}, {"start": 1902.6, "end": 1903.66, "word": " is", "probability": 0.93994140625}, {"start": 1903.66, "end": 1904.22, "word": " interested", "probability": 0.857421875}, {"start": 1904.22, "end": 1904.68, "word": " in", "probability": 0.93896484375}, {"start": 1904.68, "end": 1905.12, "word": " studying", "probability": 0.951171875}, {"start": 1905.12, "end": 1905.34, "word": " the", "probability": 0.91162109375}, {"start": 1905.34, "end": 1905.86, "word": " incomes", "probability": 0.92138671875}, {"start": 1905.86, "end": 1907.84, "word": " of", "probability": 0.9697265625}, {"start": 1907.84, "end": 1908.98, "word": " consumers", "probability": 0.92724609375}, {"start": 1908.98, "end": 1909.2, "word": " in", "probability": 0.85546875}, {"start": 1909.2, "end": 1909.24, "word": " a", "probability": 0.515625}, {"start": 1909.24, "end": 1909.58, "word": " particular", "probability": 0.90185546875}, {"start": 1909.58, "end": 1910.0, "word": " region.", "probability": 0.93505859375}, {"start": 1911.24, "end": 1911.62, "word": " The", "probability": 0.89599609375}, {"start": 1911.62, "end": 1912.34, "word": " population", "probability": 0.90966796875}, {"start": 1912.34, "end": 1913.34, "word": " standard", "probability": 0.888671875}, {"start": 1913.34, "end": 1913.76, "word": " deviation", "probability": 0.958984375}, {"start": 1913.76, "end": 1914.08, "word": " is", "probability": 0.9501953125}, {"start": 1914.08, "end": 1914.44, "word": " known", "probability": 0.7255859375}, {"start": 1914.44, "end": 1915.6, "word": " to", "probability": 0.96923828125}, {"start": 1915.6, "end": 1915.96, "word": " be", "probability": 0.95458984375}, {"start": 1915.96, "end": 1916.4, "word": " 1", "probability": 0.87158203125}, {"start": 1916.4, "end": 1916.94, "word": ",000.", "probability": 0.994873046875}, {"start": 1917.34, "end": 1917.56, "word": " A", "probability": 0.830078125}, {"start": 1917.56, "end": 1917.78, "word": " random", "probability": 0.85107421875}, {"start": 1917.78, "end": 1918.12, "word": " sample", "probability": 0.69140625}, {"start": 1918.12, "end": 1918.36, "word": " of", "probability": 0.9677734375}, {"start": 1918.36, "end": 1918.66, "word": " 50", "probability": 0.82373046875}, {"start": 1918.66, "end": 1919.32, "word": " individuals", "probability": 0.849609375}, {"start": 1919.32, "end": 1920.56, "word": " resulted", "probability": 0.91015625}, {"start": 1920.56, "end": 1921.08, "word": " in", "probability": 0.94140625}, {"start": 1921.08, "end": 1921.64, "word": " an", "probability": 0.9521484375}, {"start": 1921.64, "end": 1922.06, "word": " average", "probability": 0.78271484375}, {"start": 1922.06, "end": 1922.8, "word": " income", "probability": 0.947265625}, {"start": 1922.8, "end": 1923.08, "word": " of", "probability": 0.96533203125}, {"start": 1923.08, "end": 1923.4, "word": " $15", "probability": 0.9892578125}, {"start": 1923.4, "end": 1923.92, "word": ",000.", "probability": 0.998779296875}], "temperature": 1.0}, {"id": 69, "seek": 195440, "start": 1925.44, "end": 1954.4, "text": " What is the weight of the 90% confidence interval? So here in this example, the population standard deviation sigma is known. So sigma is $1000. Random sample of size 50 is selected. This sample gives an average", "tokens": [708, 307, 264, 3364, 295, 264, 4289, 4, 6687, 15035, 30, 407, 510, 294, 341, 1365, 11, 264, 4415, 3832, 25163, 12771, 307, 2570, 13, 407, 12771, 307, 1848, 21199, 13, 37603, 6889, 295, 2744, 2625, 307, 8209, 13, 639, 6889, 2709, 364, 4274], "avg_logprob": -0.2203125066227383, "compression_ratio": 1.3766233766233766, "no_speech_prob": 0.0, "words": [{"start": 1925.44, "end": 1925.94, "word": " What", "probability": 0.461669921875}, {"start": 1925.94, "end": 1926.26, "word": " is", "probability": 0.9248046875}, {"start": 1926.26, "end": 1926.46, "word": " the", "probability": 0.9140625}, {"start": 1926.46, "end": 1926.7, "word": " weight", "probability": 0.78369140625}, {"start": 1926.7, "end": 1927.3, "word": " of", "probability": 0.96142578125}, {"start": 1927.3, "end": 1927.5, "word": " the", "probability": 0.7197265625}, {"start": 1927.5, "end": 1927.76, "word": " 90", "probability": 0.9482421875}, {"start": 1927.76, "end": 1928.34, "word": "%", "probability": 0.82958984375}, {"start": 1928.34, "end": 1929.16, "word": " confidence", "probability": 0.9658203125}, {"start": 1929.16, "end": 1929.76, "word": " interval?", "probability": 0.984375}, {"start": 1930.56, "end": 1930.78, "word": " So", "probability": 0.7314453125}, {"start": 1930.78, "end": 1931.08, "word": " here", "probability": 0.74609375}, {"start": 1931.08, "end": 1931.52, "word": " in", "probability": 0.6796875}, {"start": 1931.52, "end": 1931.98, "word": " this", "probability": 0.94921875}, {"start": 1931.98, "end": 1933.08, "word": " example,", "probability": 0.962890625}, {"start": 1934.74, "end": 1935.0, "word": " the", "probability": 0.6904296875}, {"start": 1935.0, "end": 1935.86, "word": " population", "probability": 0.876953125}, {"start": 1935.86, "end": 1936.18, "word": " standard", "probability": 0.43505859375}, {"start": 1936.18, "end": 1936.56, "word": " deviation", "probability": 0.9306640625}, {"start": 1936.56, "end": 1936.92, "word": " sigma", "probability": 0.4541015625}, {"start": 1936.92, "end": 1937.18, "word": " is", "probability": 0.92822265625}, {"start": 1937.18, "end": 1937.44, "word": " known.", "probability": 0.68408203125}, {"start": 1938.64, "end": 1939.1, "word": " So", "probability": 0.91455078125}, {"start": 1939.1, "end": 1939.52, "word": " sigma", "probability": 0.8505859375}, {"start": 1939.52, "end": 1940.82, "word": " is", "probability": 0.94091796875}, {"start": 1940.82, "end": 1941.48, "word": " $1000.", "probability": 0.623779296875}, {"start": 1944.6, "end": 1945.52, "word": " Random", "probability": 0.71337890625}, {"start": 1945.52, "end": 1945.9, "word": " sample", "probability": 0.91162109375}, {"start": 1945.9, "end": 1946.1, "word": " of", "probability": 0.9599609375}, {"start": 1946.1, "end": 1946.44, "word": " size", "probability": 0.85791015625}, {"start": 1946.44, "end": 1946.94, "word": " 50", "probability": 0.95556640625}, {"start": 1946.94, "end": 1949.14, "word": " is", "probability": 0.90673828125}, {"start": 1949.14, "end": 1949.56, "word": " selected.", "probability": 0.890625}, {"start": 1951.42, "end": 1951.92, "word": " This", "probability": 0.8623046875}, {"start": 1951.92, "end": 1952.28, "word": " sample", "probability": 0.8857421875}, {"start": 1952.28, "end": 1952.76, "word": " gives", "probability": 0.90966796875}, {"start": 1952.76, "end": 1953.92, "word": " an", "probability": 0.94482421875}, {"start": 1953.92, "end": 1954.4, "word": " average", "probability": 0.779296875}], "temperature": 1.0}, {"id": 70, "seek": 198257, "start": 1956.15, "end": 1982.57, "text": " of $15,000 ask about what is the width of the 90% confidence interval. So again, here we are asking about the width of the confidence interval. If we have a random sample of size 50,", "tokens": [295, 1848, 5211, 11, 1360, 1029, 466, 437, 307, 264, 11402, 295, 264, 4289, 4, 6687, 15035, 13, 407, 797, 11, 510, 321, 366, 3365, 466, 264, 11402, 295, 264, 6687, 15035, 13, 759, 321, 362, 257, 4974, 6889, 295, 2744, 2625, 11], "avg_logprob": -0.14071378179571845, "compression_ratio": 1.4296875, "no_speech_prob": 0.0, "words": [{"start": 1956.15, "end": 1956.55, "word": " of", "probability": 0.497314453125}, {"start": 1956.55, "end": 1957.61, "word": " $15", "probability": 0.912841796875}, {"start": 1957.61, "end": 1958.17, "word": ",000", "probability": 0.95849609375}, {"start": 1958.17, "end": 1961.43, "word": " ask", "probability": 0.1722412109375}, {"start": 1961.43, "end": 1961.95, "word": " about", "probability": 0.90380859375}, {"start": 1961.95, "end": 1962.93, "word": " what", "probability": 0.85791015625}, {"start": 1962.93, "end": 1963.21, "word": " is", "probability": 0.93505859375}, {"start": 1963.21, "end": 1963.43, "word": " the", "probability": 0.92724609375}, {"start": 1963.43, "end": 1963.73, "word": " width", "probability": 0.83447265625}, {"start": 1963.73, "end": 1965.19, "word": " of", "probability": 0.962890625}, {"start": 1965.19, "end": 1965.43, "word": " the", "probability": 0.86962890625}, {"start": 1965.43, "end": 1965.91, "word": " 90", "probability": 0.9765625}, {"start": 1965.91, "end": 1966.61, "word": "%", "probability": 0.939453125}, {"start": 1966.61, "end": 1968.15, "word": " confidence", "probability": 0.83837890625}, {"start": 1968.15, "end": 1968.49, "word": " interval.", "probability": 0.98486328125}, {"start": 1969.95, "end": 1970.75, "word": " So", "probability": 0.9267578125}, {"start": 1970.75, "end": 1971.07, "word": " again,", "probability": 0.8759765625}, {"start": 1972.13, "end": 1975.63, "word": " here", "probability": 0.8447265625}, {"start": 1975.63, "end": 1975.77, "word": " we", "probability": 0.76806640625}, {"start": 1975.77, "end": 1975.93, "word": " are", "probability": 0.935546875}, {"start": 1975.93, "end": 1976.31, "word": " asking", "probability": 0.875}, {"start": 1976.31, "end": 1976.73, "word": " about", "probability": 0.90673828125}, {"start": 1976.73, "end": 1977.73, "word": " the", "probability": 0.92529296875}, {"start": 1977.73, "end": 1977.99, "word": " width", "probability": 0.958984375}, {"start": 1977.99, "end": 1978.15, "word": " of", "probability": 0.96484375}, {"start": 1978.15, "end": 1978.29, "word": " the", "probability": 0.91845703125}, {"start": 1978.29, "end": 1978.71, "word": " confidence", "probability": 0.97119140625}, {"start": 1978.71, "end": 1979.11, "word": " interval.", "probability": 0.95751953125}, {"start": 1979.93, "end": 1980.65, "word": " If", "probability": 0.96923828125}, {"start": 1980.65, "end": 1980.85, "word": " we", "probability": 0.95849609375}, {"start": 1980.85, "end": 1981.01, "word": " have", "probability": 0.94091796875}, {"start": 1981.01, "end": 1981.17, "word": " a", "probability": 0.9853515625}, {"start": 1981.17, "end": 1981.41, "word": " random", "probability": 0.87109375}, {"start": 1981.41, "end": 1981.73, "word": " sample", "probability": 0.91162109375}, {"start": 1981.73, "end": 1981.95, "word": " of", "probability": 0.955078125}, {"start": 1981.95, "end": 1982.17, "word": " size", "probability": 0.8818359375}, {"start": 1982.17, "end": 1982.57, "word": " 50,", "probability": 0.765625}], "temperature": 1.0}, {"id": 71, "seek": 200180, "start": 1983.32, "end": 2001.8, "text": " And that sample gives an average of $15,000. And we know that the population standard deviation is 1,000. Now, what's the width of the 90% confidence interval? Any idea of this?", "tokens": [400, 300, 6889, 2709, 364, 4274, 295, 1848, 5211, 11, 1360, 13, 400, 321, 458, 300, 264, 4415, 3832, 25163, 307, 502, 11, 1360, 13, 823, 11, 437, 311, 264, 11402, 295, 264, 4289, 4, 6687, 15035, 30, 2639, 1558, 295, 341, 30], "avg_logprob": -0.11434659446504983, "compression_ratio": 1.2992700729927007, "no_speech_prob": 0.0, "words": [{"start": 1983.32, "end": 1983.62, "word": " And", "probability": 0.79248046875}, {"start": 1983.62, "end": 1983.84, "word": " that", "probability": 0.92041015625}, {"start": 1983.84, "end": 1984.18, "word": " sample", "probability": 0.744140625}, {"start": 1984.18, "end": 1984.48, "word": " gives", "probability": 0.8876953125}, {"start": 1984.48, "end": 1984.68, "word": " an", "probability": 0.943359375}, {"start": 1984.68, "end": 1984.98, "word": " average", "probability": 0.7705078125}, {"start": 1984.98, "end": 1985.2, "word": " of", "probability": 0.96630859375}, {"start": 1985.2, "end": 1985.52, "word": " $15", "probability": 0.9248046875}, {"start": 1985.52, "end": 1985.88, "word": ",000.", "probability": 0.967041015625}, {"start": 1986.84, "end": 1987.56, "word": " And", "probability": 0.95556640625}, {"start": 1987.56, "end": 1987.74, "word": " we", "probability": 0.96142578125}, {"start": 1987.74, "end": 1987.88, "word": " know", "probability": 0.8837890625}, {"start": 1987.88, "end": 1988.18, "word": " that", "probability": 0.89208984375}, {"start": 1988.18, "end": 1988.7, "word": " the", "probability": 0.90869140625}, {"start": 1988.7, "end": 1989.1, "word": " population", "probability": 0.94677734375}, {"start": 1989.1, "end": 1989.56, "word": " standard", "probability": 0.91552734375}, {"start": 1989.56, "end": 1990.04, "word": " deviation", "probability": 0.931640625}, {"start": 1990.04, "end": 1990.94, "word": " is", "probability": 0.9462890625}, {"start": 1990.94, "end": 1991.26, "word": " 1", "probability": 0.7236328125}, {"start": 1991.26, "end": 1991.68, "word": ",000.", "probability": 0.968994140625}, {"start": 1993.24, "end": 1993.96, "word": " Now,", "probability": 0.96142578125}, {"start": 1994.08, "end": 1994.42, "word": " what's", "probability": 0.964111328125}, {"start": 1994.42, "end": 1994.58, "word": " the", "probability": 0.92529296875}, {"start": 1994.58, "end": 1994.88, "word": " width", "probability": 0.55419921875}, {"start": 1994.88, "end": 1995.98, "word": " of", "probability": 0.9638671875}, {"start": 1995.98, "end": 1996.16, "word": " the", "probability": 0.9091796875}, {"start": 1996.16, "end": 1996.52, "word": " 90", "probability": 0.98388671875}, {"start": 1996.52, "end": 1997.02, "word": "%", "probability": 0.95458984375}, {"start": 1997.02, "end": 1997.58, "word": " confidence", "probability": 0.95556640625}, {"start": 1997.58, "end": 1998.02, "word": " interval?", "probability": 0.953125}, {"start": 1998.88, "end": 1999.44, "word": " Any", "probability": 0.91162109375}, {"start": 1999.44, "end": 2000.02, "word": " idea", "probability": 0.919921875}, {"start": 2000.02, "end": 2001.54, "word": " of", "probability": 0.85888671875}, {"start": 2001.54, "end": 2001.8, "word": " this?", "probability": 0.93798828125}], "temperature": 1.0}, {"id": 72, "seek": 203180, "start": 2013.76, "end": 2031.8, "text": " So idea number one is fine. You may calculate the lower limit and upper limit. And the difference between these two gives the width. So idea number one, the width equals the distance between upper limit", "tokens": [407, 1558, 1230, 472, 307, 2489, 13, 509, 815, 8873, 264, 3126, 4948, 293, 6597, 4948, 13, 400, 264, 2649, 1296, 613, 732, 2709, 264, 11402, 13, 407, 1558, 1230, 472, 11, 264, 11402, 6915, 264, 4560, 1296, 6597, 4948], "avg_logprob": -0.20236279906296148, "compression_ratio": 1.5859375, "no_speech_prob": 0.0, "words": [{"start": 2013.76, "end": 2014.46, "word": " So", "probability": 0.140869140625}, {"start": 2014.46, "end": 2015.16, "word": " idea", "probability": 0.771484375}, {"start": 2015.16, "end": 2015.42, "word": " number", "probability": 0.92431640625}, {"start": 2015.42, "end": 2015.62, "word": " one", "probability": 0.76416015625}, {"start": 2015.62, "end": 2015.78, "word": " is", "probability": 0.94287109375}, {"start": 2015.78, "end": 2016.08, "word": " fine.", "probability": 0.86865234375}, {"start": 2016.42, "end": 2016.86, "word": " You", "probability": 0.93603515625}, {"start": 2016.86, "end": 2017.56, "word": " may", "probability": 0.849609375}, {"start": 2017.56, "end": 2018.2, "word": " calculate", "probability": 0.9169921875}, {"start": 2018.2, "end": 2020.02, "word": " the", "probability": 0.8271484375}, {"start": 2020.02, "end": 2020.64, "word": " lower", "probability": 0.8818359375}, {"start": 2020.64, "end": 2020.96, "word": " limit", "probability": 0.95849609375}, {"start": 2020.96, "end": 2021.18, "word": " and", "probability": 0.92724609375}, {"start": 2021.18, "end": 2021.42, "word": " upper", "probability": 0.82177734375}, {"start": 2021.42, "end": 2021.88, "word": " limit.", "probability": 0.9658203125}, {"start": 2022.52, "end": 2022.94, "word": " And", "probability": 0.95166015625}, {"start": 2022.94, "end": 2023.06, "word": " the", "probability": 0.91455078125}, {"start": 2023.06, "end": 2023.4, "word": " difference", "probability": 0.869140625}, {"start": 2023.4, "end": 2023.76, "word": " between", "probability": 0.8740234375}, {"start": 2023.76, "end": 2024.08, "word": " these", "probability": 0.8642578125}, {"start": 2024.08, "end": 2024.3, "word": " two", "probability": 0.92236328125}, {"start": 2024.3, "end": 2024.7, "word": " gives", "probability": 0.88330078125}, {"start": 2024.7, "end": 2024.98, "word": " the", "probability": 0.892578125}, {"start": 2024.98, "end": 2025.18, "word": " width.", "probability": 0.59814453125}, {"start": 2025.64, "end": 2026.02, "word": " So", "probability": 0.9140625}, {"start": 2026.02, "end": 2026.36, "word": " idea", "probability": 0.88037109375}, {"start": 2026.36, "end": 2026.64, "word": " number", "probability": 0.94091796875}, {"start": 2026.64, "end": 2026.96, "word": " one,", "probability": 0.908203125}, {"start": 2027.5, "end": 2027.68, "word": " the", "probability": 0.8974609375}, {"start": 2027.68, "end": 2028.04, "word": " width", "probability": 0.96630859375}, {"start": 2028.04, "end": 2029.92, "word": " equals", "probability": 0.6220703125}, {"start": 2029.92, "end": 2030.14, "word": " the", "probability": 0.91650390625}, {"start": 2030.14, "end": 2030.64, "word": " distance", "probability": 0.935546875}, {"start": 2030.64, "end": 2031.02, "word": " between", "probability": 0.8740234375}, {"start": 2031.02, "end": 2031.36, "word": " upper", "probability": 0.853515625}, {"start": 2031.36, "end": 2031.8, "word": " limit", "probability": 0.96484375}], "temperature": 1.0}, {"id": 73, "seek": 206359, "start": 2034.11, "end": 2063.59, "text": " our limit minus lower limit. Now this distance gives a width, that's correct. Let's see. So in other words, you have to find the confidence interval by using this equation x bar plus or minus z sigma over root n, x bar is given. Now for 90% we know that z equals", "tokens": [527, 4948, 3175, 3126, 4948, 13, 823, 341, 4560, 2709, 257, 11402, 11, 300, 311, 3006, 13, 961, 311, 536, 13, 407, 294, 661, 2283, 11, 291, 362, 281, 915, 264, 6687, 15035, 538, 1228, 341, 5367, 2031, 2159, 1804, 420, 3175, 710, 12771, 670, 5593, 297, 11, 2031, 2159, 307, 2212, 13, 823, 337, 4289, 4, 321, 458, 300, 710, 6915], "avg_logprob": -0.21093750047305274, "compression_ratio": 1.445054945054945, "no_speech_prob": 0.0, "words": [{"start": 2034.11, "end": 2034.41, "word": " our", "probability": 0.1761474609375}, {"start": 2034.41, "end": 2034.79, "word": " limit", "probability": 0.9248046875}, {"start": 2034.79, "end": 2035.45, "word": " minus", "probability": 0.91943359375}, {"start": 2035.45, "end": 2035.71, "word": " lower", "probability": 0.8349609375}, {"start": 2035.71, "end": 2036.03, "word": " limit.", "probability": 0.916015625}, {"start": 2038.15, "end": 2038.79, "word": " Now", "probability": 0.8623046875}, {"start": 2038.79, "end": 2039.07, "word": " this", "probability": 0.67724609375}, {"start": 2039.07, "end": 2039.53, "word": " distance", "probability": 0.94091796875}, {"start": 2039.53, "end": 2039.95, "word": " gives", "probability": 0.88671875}, {"start": 2039.95, "end": 2040.23, "word": " a", "probability": 0.29931640625}, {"start": 2040.23, "end": 2040.53, "word": " width,", "probability": 0.89697265625}, {"start": 2040.65, "end": 2040.95, "word": " that's", "probability": 0.9111328125}, {"start": 2040.95, "end": 2041.31, "word": " correct.", "probability": 0.85400390625}, {"start": 2042.67, "end": 2043.09, "word": " Let's", "probability": 0.951416015625}, {"start": 2043.09, "end": 2043.27, "word": " see.", "probability": 0.91259765625}, {"start": 2044.71, "end": 2045.31, "word": " So", "probability": 0.9326171875}, {"start": 2045.31, "end": 2045.93, "word": " in", "probability": 0.68896484375}, {"start": 2045.93, "end": 2046.25, "word": " other", "probability": 0.8896484375}, {"start": 2046.25, "end": 2046.61, "word": " words,", "probability": 0.88037109375}, {"start": 2046.71, "end": 2046.81, "word": " you", "probability": 0.953125}, {"start": 2046.81, "end": 2047.01, "word": " have", "probability": 0.94580078125}, {"start": 2047.01, "end": 2047.13, "word": " to", "probability": 0.96826171875}, {"start": 2047.13, "end": 2047.37, "word": " find", "probability": 0.90380859375}, {"start": 2047.37, "end": 2047.53, "word": " the", "probability": 0.8662109375}, {"start": 2047.53, "end": 2047.91, "word": " confidence", "probability": 0.96826171875}, {"start": 2047.91, "end": 2048.49, "word": " interval", "probability": 0.96240234375}, {"start": 2048.49, "end": 2049.87, "word": " by", "probability": 0.787109375}, {"start": 2049.87, "end": 2050.21, "word": " using", "probability": 0.93359375}, {"start": 2050.21, "end": 2050.47, "word": " this", "probability": 0.92578125}, {"start": 2050.47, "end": 2051.07, "word": " equation", "probability": 0.865234375}, {"start": 2051.07, "end": 2051.39, "word": " x", "probability": 0.27587890625}, {"start": 2051.39, "end": 2051.57, "word": " bar", "probability": 0.7978515625}, {"start": 2051.57, "end": 2051.89, "word": " plus", "probability": 0.9658203125}, {"start": 2051.89, "end": 2052.07, "word": " or", "probability": 0.94677734375}, {"start": 2052.07, "end": 2052.33, "word": " minus", "probability": 0.9853515625}, {"start": 2052.33, "end": 2052.69, "word": " z", "probability": 0.92578125}, {"start": 2052.69, "end": 2054.61, "word": " sigma", "probability": 0.6181640625}, {"start": 2054.61, "end": 2055.61, "word": " over", "probability": 0.9130859375}, {"start": 2055.61, "end": 2055.85, "word": " root", "probability": 0.94482421875}, {"start": 2055.85, "end": 2056.11, "word": " n,", "probability": 0.83154296875}, {"start": 2056.37, "end": 2056.55, "word": " x", "probability": 0.994140625}, {"start": 2056.55, "end": 2056.71, "word": " bar", "probability": 0.91943359375}, {"start": 2056.71, "end": 2056.85, "word": " is", "probability": 0.94384765625}, {"start": 2056.85, "end": 2057.07, "word": " given.", "probability": 0.896484375}, {"start": 2060.19, "end": 2060.67, "word": " Now", "probability": 0.9482421875}, {"start": 2060.67, "end": 2060.89, "word": " for", "probability": 0.7880859375}, {"start": 2060.89, "end": 2061.17, "word": " 90", "probability": 0.93212890625}, {"start": 2061.17, "end": 2061.39, "word": "%", "probability": 0.615234375}, {"start": 2061.39, "end": 2061.71, "word": " we", "probability": 0.91064453125}, {"start": 2061.71, "end": 2061.87, "word": " know", "probability": 0.87939453125}, {"start": 2061.87, "end": 2062.29, "word": " that", "probability": 0.94091796875}, {"start": 2062.29, "end": 2062.87, "word": " z", "probability": 0.96435546875}, {"start": 2062.87, "end": 2063.59, "word": " equals", "probability": 0.92333984375}], "temperature": 1.0}, {"id": 74, "seek": 209073, "start": 2064.37, "end": 2090.73, "text": " 1.645 sigma is 1000 divided by root 50 plus or minus. By calculator, 1000 times this number divided by root 50 will give around 232.6.", "tokens": [502, 13, 21, 8465, 12771, 307, 9714, 6666, 538, 5593, 2625, 1804, 420, 3175, 13, 3146, 24993, 11, 9714, 1413, 341, 1230, 6666, 538, 5593, 2625, 486, 976, 926, 6673, 17, 13, 21, 13], "avg_logprob": -0.23058035629136223, "compression_ratio": 1.2616822429906542, "no_speech_prob": 0.0, "words": [{"start": 2064.37, "end": 2064.71, "word": " 1", "probability": 0.459228515625}, {"start": 2064.71, "end": 2067.53, "word": ".645", "probability": 0.92529296875}, {"start": 2067.53, "end": 2068.43, "word": " sigma", "probability": 0.215087890625}, {"start": 2068.43, "end": 2068.69, "word": " is", "probability": 0.84423828125}, {"start": 2068.69, "end": 2069.39, "word": " 1000", "probability": 0.65576171875}, {"start": 2069.39, "end": 2072.67, "word": " divided", "probability": 0.4306640625}, {"start": 2072.67, "end": 2072.87, "word": " by", "probability": 0.9697265625}, {"start": 2072.87, "end": 2073.07, "word": " root", "probability": 0.8251953125}, {"start": 2073.07, "end": 2073.51, "word": " 50", "probability": 0.86669921875}, {"start": 2073.51, "end": 2076.09, "word": " plus", "probability": 0.828125}, {"start": 2076.09, "end": 2076.31, "word": " or", "probability": 0.9365234375}, {"start": 2076.31, "end": 2076.67, "word": " minus.", "probability": 0.98974609375}, {"start": 2078.43, "end": 2079.05, "word": " By", "probability": 0.8271484375}, {"start": 2079.05, "end": 2079.59, "word": " calculator,", "probability": 0.81591796875}, {"start": 2080.43, "end": 2080.85, "word": " 1000", "probability": 0.80078125}, {"start": 2080.85, "end": 2081.47, "word": " times", "probability": 0.8974609375}, {"start": 2081.47, "end": 2081.71, "word": " this", "probability": 0.9267578125}, {"start": 2081.71, "end": 2082.09, "word": " number", "probability": 0.935546875}, {"start": 2082.09, "end": 2082.51, "word": " divided", "probability": 0.7568359375}, {"start": 2082.51, "end": 2082.77, "word": " by", "probability": 0.97021484375}, {"start": 2082.77, "end": 2083.17, "word": " root", "probability": 0.865234375}, {"start": 2083.17, "end": 2083.67, "word": " 50", "probability": 0.96240234375}, {"start": 2083.67, "end": 2084.63, "word": " will", "probability": 0.81787109375}, {"start": 2084.63, "end": 2085.01, "word": " give", "probability": 0.86572265625}, {"start": 2085.01, "end": 2089.19, "word": " around", "probability": 0.80322265625}, {"start": 2089.19, "end": 2090.13, "word": " 232", "probability": 0.9326171875}, {"start": 2090.13, "end": 2090.73, "word": ".6.", "probability": 0.9892578125}], "temperature": 1.0}, {"id": 75, "seek": 212027, "start": 2098.29, "end": 2120.27, "text": " So the upper limit is this value and lower limit 147671. So now the upper limit and lower limit are computed. Now the difference between these two values will give the weight.", "tokens": [407, 264, 6597, 4948, 307, 341, 2158, 293, 3126, 4948, 3499, 25026, 29985, 13, 407, 586, 264, 6597, 4948, 293, 3126, 4948, 366, 40610, 13, 823, 264, 2649, 1296, 613, 732, 4190, 486, 976, 264, 3364, 13], "avg_logprob": -0.2754934273268047, "compression_ratio": 1.4789915966386555, "no_speech_prob": 0.0, "words": [{"start": 2098.29, "end": 2099.09, "word": " So", "probability": 0.361572265625}, {"start": 2099.09, "end": 2099.39, "word": " the", "probability": 0.70849609375}, {"start": 2099.39, "end": 2099.81, "word": " upper", "probability": 0.8125}, {"start": 2099.81, "end": 2100.23, "word": " limit", "probability": 0.95458984375}, {"start": 2100.23, "end": 2103.21, "word": " is", "probability": 0.8369140625}, {"start": 2103.21, "end": 2103.45, "word": " this", "probability": 0.90771484375}, {"start": 2103.45, "end": 2103.83, "word": " value", "probability": 0.97216796875}, {"start": 2103.83, "end": 2104.95, "word": " and", "probability": 0.496826171875}, {"start": 2104.95, "end": 2105.21, "word": " lower", "probability": 0.67822265625}, {"start": 2105.21, "end": 2105.79, "word": " limit", "probability": 0.94384765625}, {"start": 2105.79, "end": 2109.65, "word": " 147671.", "probability": 0.6207682291666666}, {"start": 2111.35, "end": 2111.59, "word": " So", "probability": 0.74853515625}, {"start": 2111.59, "end": 2111.81, "word": " now", "probability": 0.80712890625}, {"start": 2111.81, "end": 2112.07, "word": " the", "probability": 0.5869140625}, {"start": 2112.07, "end": 2112.35, "word": " upper", "probability": 0.8134765625}, {"start": 2112.35, "end": 2112.75, "word": " limit", "probability": 0.79150390625}, {"start": 2112.75, "end": 2113.51, "word": " and", "probability": 0.62353515625}, {"start": 2113.51, "end": 2113.71, "word": " lower", "probability": 0.76220703125}, {"start": 2113.71, "end": 2113.99, "word": " limit", "probability": 0.91259765625}, {"start": 2113.99, "end": 2114.25, "word": " are", "probability": 0.92724609375}, {"start": 2114.25, "end": 2114.73, "word": " computed.", "probability": 0.87451171875}, {"start": 2116.07, "end": 2116.87, "word": " Now", "probability": 0.8896484375}, {"start": 2116.87, "end": 2117.07, "word": " the", "probability": 0.79541015625}, {"start": 2117.07, "end": 2117.47, "word": " difference", "probability": 0.8720703125}, {"start": 2117.47, "end": 2117.81, "word": " between", "probability": 0.88134765625}, {"start": 2117.81, "end": 2118.11, "word": " these", "probability": 0.86083984375}, {"start": 2118.11, "end": 2118.59, "word": " two", "probability": 0.84130859375}, {"start": 2118.59, "end": 2119.05, "word": " values", "probability": 0.9638671875}, {"start": 2119.05, "end": 2119.31, "word": " will", "probability": 0.8603515625}, {"start": 2119.31, "end": 2119.69, "word": " give", "probability": 0.89599609375}, {"start": 2119.69, "end": 2120.15, "word": " the", "probability": 0.383544921875}, {"start": 2120.15, "end": 2120.27, "word": " weight.", "probability": 0.71875}], "temperature": 1.0}, {"id": 76, "seek": 215027, "start": 2122.77, "end": 2150.27, "text": " If you subtract these two values, what equals 15,000? And the answer is 465.13, around. Maybe I took two minutes to figure the answer, the right answer. But there is another one, another idea, maybe shorter.", "tokens": [759, 291, 16390, 613, 732, 4190, 11, 437, 6915, 2119, 11, 1360, 30, 400, 264, 1867, 307, 1017, 16824, 13, 7668, 11, 926, 13, 2704, 286, 1890, 732, 2077, 281, 2573, 264, 1867, 11, 264, 558, 1867, 13, 583, 456, 307, 1071, 472, 11, 1071, 1558, 11, 1310, 11639, 13], "avg_logprob": -0.24800858661240222, "compression_ratio": 1.3774834437086092, "no_speech_prob": 0.0, "words": [{"start": 2122.77, "end": 2123.07, "word": " If", "probability": 0.71826171875}, {"start": 2123.07, "end": 2123.27, "word": " you", "probability": 0.9462890625}, {"start": 2123.27, "end": 2123.75, "word": " subtract", "probability": 0.76611328125}, {"start": 2123.75, "end": 2124.01, "word": " these", "probability": 0.85400390625}, {"start": 2124.01, "end": 2124.19, "word": " two", "probability": 0.84619140625}, {"start": 2124.19, "end": 2124.55, "word": " values,", "probability": 0.943359375}, {"start": 2124.65, "end": 2124.81, "word": " what", "probability": 0.44580078125}, {"start": 2124.81, "end": 2125.17, "word": " equals", "probability": 0.7099609375}, {"start": 2125.17, "end": 2125.59, "word": " 15", "probability": 0.45947265625}, {"start": 2125.59, "end": 2126.03, "word": ",000?", "probability": 0.6790771484375}, {"start": 2130.67, "end": 2131.35, "word": " And", "probability": 0.84375}, {"start": 2131.35, "end": 2131.47, "word": " the", "probability": 0.90771484375}, {"start": 2131.47, "end": 2131.75, "word": " answer", "probability": 0.95849609375}, {"start": 2131.75, "end": 2132.03, "word": " is", "probability": 0.94482421875}, {"start": 2132.03, "end": 2134.73, "word": " 465", "probability": 0.740478515625}, {"start": 2134.73, "end": 2135.81, "word": ".13,", "probability": 0.84521484375}, {"start": 2136.47, "end": 2137.19, "word": " around.", "probability": 0.9052734375}, {"start": 2140.05, "end": 2140.73, "word": " Maybe", "probability": 0.939453125}, {"start": 2140.73, "end": 2140.97, "word": " I", "probability": 0.73095703125}, {"start": 2140.97, "end": 2141.23, "word": " took", "probability": 0.63427734375}, {"start": 2141.23, "end": 2141.45, "word": " two", "probability": 0.7109375}, {"start": 2141.45, "end": 2141.83, "word": " minutes", "probability": 0.92041015625}, {"start": 2141.83, "end": 2143.39, "word": " to", "probability": 0.85400390625}, {"start": 2143.39, "end": 2143.65, "word": " figure", "probability": 0.96875}, {"start": 2143.65, "end": 2144.89, "word": " the", "probability": 0.472412109375}, {"start": 2144.89, "end": 2145.27, "word": " answer,", "probability": 0.814453125}, {"start": 2145.43, "end": 2145.55, "word": " the", "probability": 0.87548828125}, {"start": 2145.55, "end": 2145.79, "word": " right", "probability": 0.9248046875}, {"start": 2145.79, "end": 2146.19, "word": " answer.", "probability": 0.9462890625}, {"start": 2146.87, "end": 2147.41, "word": " But", "probability": 0.94287109375}, {"start": 2147.41, "end": 2147.59, "word": " there", "probability": 0.89404296875}, {"start": 2147.59, "end": 2147.75, "word": " is", "probability": 0.90771484375}, {"start": 2147.75, "end": 2148.07, "word": " another", "probability": 0.91796875}, {"start": 2148.07, "end": 2148.41, "word": " one,", "probability": 0.916015625}, {"start": 2149.03, "end": 2149.35, "word": " another", "probability": 0.69482421875}, {"start": 2149.35, "end": 2149.59, "word": " idea,", "probability": 0.89453125}, {"start": 2149.71, "end": 2149.83, "word": " maybe", "probability": 0.92138671875}, {"start": 2149.83, "end": 2150.27, "word": " shorter.", "probability": 0.90625}], "temperature": 1.0}, {"id": 77, "seek": 217944, "start": 2151.39, "end": 2179.45, "text": " It'll take shorter time. It's correct, but straightforward. Just compute the lower and upper limits. And the width is the difference between these two values. If you look carefully at this equation, difference between these two values gives the width.", "tokens": [467, 603, 747, 11639, 565, 13, 467, 311, 3006, 11, 457, 15325, 13, 1449, 14722, 264, 3126, 293, 6597, 10406, 13, 400, 264, 11402, 307, 264, 2649, 1296, 613, 732, 4190, 13, 759, 291, 574, 7500, 412, 341, 5367, 11, 2649, 1296, 613, 732, 4190, 2709, 264, 11402, 13], "avg_logprob": -0.17968749463558198, "compression_ratio": 1.575, "no_speech_prob": 0.0, "words": [{"start": 2151.39, "end": 2151.67, "word": " It'll", "probability": 0.3525390625}, {"start": 2151.67, "end": 2151.93, "word": " take", "probability": 0.88037109375}, {"start": 2151.93, "end": 2152.31, "word": " shorter", "probability": 0.794921875}, {"start": 2152.31, "end": 2152.79, "word": " time.", "probability": 0.88525390625}, {"start": 2156.89, "end": 2157.53, "word": " It's", "probability": 0.90185546875}, {"start": 2157.53, "end": 2157.91, "word": " correct,", "probability": 0.90087890625}, {"start": 2158.01, "end": 2158.15, "word": " but", "probability": 0.88525390625}, {"start": 2158.15, "end": 2158.93, "word": " straightforward.", "probability": 0.7890625}, {"start": 2159.45, "end": 2159.77, "word": " Just", "probability": 0.8603515625}, {"start": 2159.77, "end": 2160.23, "word": " compute", "probability": 0.89892578125}, {"start": 2160.23, "end": 2160.65, "word": " the", "probability": 0.9091796875}, {"start": 2160.65, "end": 2162.01, "word": " lower", "probability": 0.8701171875}, {"start": 2162.01, "end": 2162.19, "word": " and", "probability": 0.939453125}, {"start": 2162.19, "end": 2162.39, "word": " upper", "probability": 0.8115234375}, {"start": 2162.39, "end": 2162.87, "word": " limits.", "probability": 0.97265625}, {"start": 2164.73, "end": 2165.09, "word": " And", "probability": 0.95654296875}, {"start": 2165.09, "end": 2165.25, "word": " the", "probability": 0.90869140625}, {"start": 2165.25, "end": 2165.43, "word": " width", "probability": 0.68017578125}, {"start": 2165.43, "end": 2165.63, "word": " is", "probability": 0.94140625}, {"start": 2165.63, "end": 2165.79, "word": " the", "probability": 0.9189453125}, {"start": 2165.79, "end": 2166.13, "word": " difference", "probability": 0.86083984375}, {"start": 2166.13, "end": 2166.45, "word": " between", "probability": 0.86669921875}, {"start": 2166.45, "end": 2166.69, "word": " these", "probability": 0.86279296875}, {"start": 2166.69, "end": 2166.85, "word": " two", "probability": 0.9140625}, {"start": 2166.85, "end": 2167.19, "word": " values.", "probability": 0.8017578125}, {"start": 2171.37, "end": 2172.01, "word": " If", "probability": 0.9306640625}, {"start": 2172.01, "end": 2172.09, "word": " you", "probability": 0.939453125}, {"start": 2172.09, "end": 2172.23, "word": " look", "probability": 0.81298828125}, {"start": 2172.23, "end": 2172.55, "word": " carefully", "probability": 0.8203125}, {"start": 2172.55, "end": 2172.75, "word": " at", "probability": 0.96142578125}, {"start": 2172.75, "end": 2172.93, "word": " this", "probability": 0.9482421875}, {"start": 2172.93, "end": 2173.47, "word": " equation,", "probability": 0.9765625}, {"start": 2173.79, "end": 2176.05, "word": " difference", "probability": 0.475830078125}, {"start": 2176.05, "end": 2176.49, "word": " between", "probability": 0.88427734375}, {"start": 2176.49, "end": 2176.71, "word": " these", "probability": 0.873046875}, {"start": 2176.71, "end": 2176.91, "word": " two", "probability": 0.9287109375}, {"start": 2176.91, "end": 2177.41, "word": " values", "probability": 0.96875}, {"start": 2177.41, "end": 2178.99, "word": " gives", "probability": 0.865234375}, {"start": 2178.99, "end": 2179.21, "word": " the", "probability": 0.916015625}, {"start": 2179.21, "end": 2179.45, "word": " width.", "probability": 0.9765625}], "temperature": 1.0}, {"id": 78, "seek": 221021, "start": 2181.24, "end": 2210.22, "text": " Now let's imagine that the lower limit equals x bar minus the error term. And upper limit is also x bar plus the error term. Now if we add this, or if we subtract 2 from 1, you will get upper limit", "tokens": [823, 718, 311, 3811, 300, 264, 3126, 4948, 6915, 2031, 2159, 3175, 264, 6713, 1433, 13, 400, 6597, 4948, 307, 611, 2031, 2159, 1804, 264, 6713, 1433, 13, 823, 498, 321, 909, 341, 11, 420, 498, 321, 16390, 568, 490, 502, 11, 291, 486, 483, 6597, 4948], "avg_logprob": -0.24788411147892475, "compression_ratio": 1.4887218045112782, "no_speech_prob": 0.0, "words": [{"start": 2181.24, "end": 2181.56, "word": " Now", "probability": 0.62548828125}, {"start": 2181.56, "end": 2182.42, "word": " let's", "probability": 0.689697265625}, {"start": 2182.42, "end": 2182.9, "word": " imagine", "probability": 0.87060546875}, {"start": 2182.9, "end": 2183.24, "word": " that", "probability": 0.900390625}, {"start": 2183.24, "end": 2183.44, "word": " the", "probability": 0.806640625}, {"start": 2183.44, "end": 2183.6, "word": " lower", "probability": 0.82763671875}, {"start": 2183.6, "end": 2184.0, "word": " limit", "probability": 0.96435546875}, {"start": 2184.0, "end": 2185.1, "word": " equals", "probability": 0.76806640625}, {"start": 2185.1, "end": 2185.5, "word": " x", "probability": 0.53857421875}, {"start": 2185.5, "end": 2185.88, "word": " bar", "probability": 0.5703125}, {"start": 2185.88, "end": 2188.92, "word": " minus", "probability": 0.912109375}, {"start": 2188.92, "end": 2190.58, "word": " the", "probability": 0.8095703125}, {"start": 2190.58, "end": 2190.8, "word": " error", "probability": 0.48583984375}, {"start": 2190.8, "end": 2191.06, "word": " term.", "probability": 0.53369140625}, {"start": 2192.88, "end": 2193.36, "word": " And", "probability": 0.79345703125}, {"start": 2193.36, "end": 2193.68, "word": " upper", "probability": 0.59228515625}, {"start": 2193.68, "end": 2194.02, "word": " limit", "probability": 0.97216796875}, {"start": 2194.02, "end": 2194.68, "word": " is", "probability": 0.93505859375}, {"start": 2194.68, "end": 2195.0, "word": " also", "probability": 0.8701171875}, {"start": 2195.0, "end": 2195.28, "word": " x", "probability": 0.9892578125}, {"start": 2195.28, "end": 2195.7, "word": " bar", "probability": 0.93212890625}, {"start": 2195.7, "end": 2196.34, "word": " plus", "probability": 0.953125}, {"start": 2196.34, "end": 2197.38, "word": " the", "probability": 0.8759765625}, {"start": 2197.38, "end": 2197.66, "word": " error", "probability": 0.88232421875}, {"start": 2197.66, "end": 2197.96, "word": " term.", "probability": 0.912109375}, {"start": 2201.46, "end": 2202.18, "word": " Now", "probability": 0.92822265625}, {"start": 2202.18, "end": 2202.42, "word": " if", "probability": 0.7548828125}, {"start": 2202.42, "end": 2202.62, "word": " we", "probability": 0.95556640625}, {"start": 2202.62, "end": 2202.92, "word": " add", "probability": 0.89599609375}, {"start": 2202.92, "end": 2203.32, "word": " this,", "probability": 0.56689453125}, {"start": 2204.04, "end": 2204.32, "word": " or", "probability": 0.916015625}, {"start": 2204.32, "end": 2204.56, "word": " if", "probability": 0.87744140625}, {"start": 2204.56, "end": 2204.7, "word": " we", "probability": 0.92431640625}, {"start": 2204.7, "end": 2205.18, "word": " subtract", "probability": 0.86181640625}, {"start": 2205.18, "end": 2206.06, "word": " 2", "probability": 0.436279296875}, {"start": 2206.06, "end": 2206.26, "word": " from", "probability": 0.8974609375}, {"start": 2206.26, "end": 2206.58, "word": " 1,", "probability": 0.97412109375}, {"start": 2207.9, "end": 2208.22, "word": " you", "probability": 0.75732421875}, {"start": 2208.22, "end": 2208.38, "word": " will", "probability": 0.8896484375}, {"start": 2208.38, "end": 2208.66, "word": " get", "probability": 0.93701171875}, {"start": 2208.66, "end": 2209.82, "word": " upper", "probability": 0.76220703125}, {"start": 2209.82, "end": 2210.22, "word": " limit", "probability": 0.962890625}], "temperature": 1.0}, {"id": 79, "seek": 223978, "start": 2210.86, "end": 2239.78, "text": " minus lower limit equals x bar cancels with 2x bar. If you subtract, w minus equals 2e. Upper limit minus lower limit is the width. So w, the width is", "tokens": [3175, 3126, 4948, 6915, 2031, 2159, 393, 66, 1625, 365, 568, 87, 2159, 13, 759, 291, 16390, 11, 261, 3175, 6915, 568, 68, 13, 36926, 4948, 3175, 3126, 4948, 307, 264, 11402, 13, 407, 261, 11, 264, 11402, 307], "avg_logprob": -0.3433593772351742, "compression_ratio": 1.3981481481481481, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 2210.86, "end": 2211.3, "word": " minus", "probability": 0.2259521484375}, {"start": 2211.3, "end": 2211.62, "word": " lower", "probability": 0.7646484375}, {"start": 2211.62, "end": 2211.96, "word": " limit", "probability": 0.9296875}, {"start": 2211.96, "end": 2212.56, "word": " equals", "probability": 0.83837890625}, {"start": 2212.56, "end": 2215.74, "word": " x", "probability": 0.343994140625}, {"start": 2215.74, "end": 2217.26, "word": " bar", "probability": 0.7373046875}, {"start": 2217.26, "end": 2218.36, "word": " cancels", "probability": 0.7701822916666666}, {"start": 2218.36, "end": 2221.2, "word": " with", "probability": 0.1710205078125}, {"start": 2221.2, "end": 2223.6, "word": " 2x", "probability": 0.64990234375}, {"start": 2223.6, "end": 2223.94, "word": " bar.", "probability": 0.92333984375}, {"start": 2225.26, "end": 2225.54, "word": " If", "probability": 0.43994140625}, {"start": 2225.54, "end": 2225.68, "word": " you", "probability": 0.64794921875}, {"start": 2225.68, "end": 2226.12, "word": " subtract,", "probability": 0.88330078125}, {"start": 2226.68, "end": 2226.96, "word": " w", "probability": 0.59814453125}, {"start": 2226.96, "end": 2227.28, "word": " minus", "probability": 0.83984375}, {"start": 2227.28, "end": 2229.02, "word": " equals", "probability": 0.82421875}, {"start": 2229.02, "end": 2230.96, "word": " 2e.", "probability": 0.76416015625}, {"start": 2232.52, "end": 2233.16, "word": " Upper", "probability": 0.89453125}, {"start": 2233.16, "end": 2233.44, "word": " limit", "probability": 0.95849609375}, {"start": 2233.44, "end": 2233.84, "word": " minus", "probability": 0.97607421875}, {"start": 2233.84, "end": 2234.7, "word": " lower", "probability": 0.81640625}, {"start": 2234.7, "end": 2235.06, "word": " limit", "probability": 0.95703125}, {"start": 2235.06, "end": 2235.92, "word": " is", "probability": 0.88525390625}, {"start": 2235.92, "end": 2236.1, "word": " the", "probability": 0.88037109375}, {"start": 2236.1, "end": 2236.3, "word": " width.", "probability": 0.974609375}, {"start": 2237.46, "end": 2237.68, "word": " So", "probability": 0.88623046875}, {"start": 2237.68, "end": 2238.06, "word": " w,", "probability": 0.59130859375}, {"start": 2238.76, "end": 2239.02, "word": " the", "probability": 0.916015625}, {"start": 2239.02, "end": 2239.3, "word": " width", "probability": 0.96826171875}, {"start": 2239.3, "end": 2239.78, "word": " is", "probability": 0.69677734375}], "temperature": 1.0}, {"id": 80, "seek": 226621, "start": 2241.34, "end": 2266.22, "text": " twice the sampling error. So we have this new information, W equals twice of the margin of error. If we add 1 and 2, that will give lower limit plus upper limit equals to x bar. That means x bar equals lower limit plus upper limit divided by 2.", "tokens": [6091, 264, 21179, 6713, 13, 407, 321, 362, 341, 777, 1589, 11, 343, 6915, 6091, 295, 264, 10270, 295, 6713, 13, 759, 321, 909, 502, 293, 568, 11, 300, 486, 976, 3126, 4948, 1804, 6597, 4948, 6915, 281, 2031, 2159, 13, 663, 1355, 2031, 2159, 6915, 3126, 4948, 1804, 6597, 4948, 6666, 538, 568, 13], "avg_logprob": -0.15527344308793545, "compression_ratio": 1.6225165562913908, "no_speech_prob": 0.0, "words": [{"start": 2241.34, "end": 2241.94, "word": " twice", "probability": 0.377197265625}, {"start": 2241.94, "end": 2242.54, "word": " the", "probability": 0.806640625}, {"start": 2242.54, "end": 2242.88, "word": " sampling", "probability": 0.78173828125}, {"start": 2242.88, "end": 2243.2, "word": " error.", "probability": 0.95068359375}, {"start": 2243.98, "end": 2244.48, "word": " So", "probability": 0.95263671875}, {"start": 2244.48, "end": 2244.62, "word": " we", "probability": 0.8203125}, {"start": 2244.62, "end": 2244.8, "word": " have", "probability": 0.93798828125}, {"start": 2244.8, "end": 2245.26, "word": " this", "probability": 0.896484375}, {"start": 2245.26, "end": 2245.46, "word": " new", "probability": 0.833984375}, {"start": 2245.46, "end": 2245.92, "word": " information,", "probability": 0.744140625}, {"start": 2246.12, "end": 2246.46, "word": " W", "probability": 0.60693359375}, {"start": 2246.46, "end": 2247.24, "word": " equals", "probability": 0.86083984375}, {"start": 2247.24, "end": 2249.34, "word": " twice", "probability": 0.93310546875}, {"start": 2249.34, "end": 2249.62, "word": " of", "probability": 0.9375}, {"start": 2249.62, "end": 2249.74, "word": " the", "probability": 0.91650390625}, {"start": 2249.74, "end": 2249.98, "word": " margin", "probability": 0.9052734375}, {"start": 2249.98, "end": 2250.16, "word": " of", "probability": 0.88916015625}, {"start": 2250.16, "end": 2250.3, "word": " error.", "probability": 0.8681640625}, {"start": 2251.32, "end": 2251.92, "word": " If", "probability": 0.9560546875}, {"start": 2251.92, "end": 2252.12, "word": " we", "probability": 0.95947265625}, {"start": 2252.12, "end": 2252.38, "word": " add", "probability": 0.88525390625}, {"start": 2252.38, "end": 2252.6, "word": " 1", "probability": 0.46728515625}, {"start": 2252.6, "end": 2252.78, "word": " and", "probability": 0.93701171875}, {"start": 2252.78, "end": 2253.04, "word": " 2,", "probability": 0.99658203125}, {"start": 2253.32, "end": 2253.6, "word": " that", "probability": 0.92529296875}, {"start": 2253.6, "end": 2253.78, "word": " will", "probability": 0.86279296875}, {"start": 2253.78, "end": 2254.12, "word": " give", "probability": 0.8564453125}, {"start": 2254.12, "end": 2256.4, "word": " lower", "probability": 0.7490234375}, {"start": 2256.4, "end": 2256.8, "word": " limit", "probability": 0.9638671875}, {"start": 2256.8, "end": 2257.34, "word": " plus", "probability": 0.89453125}, {"start": 2257.34, "end": 2257.64, "word": " upper", "probability": 0.84619140625}, {"start": 2257.64, "end": 2257.96, "word": " limit", "probability": 0.9677734375}, {"start": 2257.96, "end": 2258.38, "word": " equals", "probability": 0.92041015625}, {"start": 2258.38, "end": 2258.6, "word": " to", "probability": 0.86865234375}, {"start": 2258.6, "end": 2258.82, "word": " x", "probability": 0.646484375}, {"start": 2258.82, "end": 2259.08, "word": " bar.", "probability": 0.82421875}, {"start": 2260.24, "end": 2260.84, "word": " That", "probability": 0.91845703125}, {"start": 2260.84, "end": 2261.12, "word": " means", "probability": 0.9208984375}, {"start": 2261.12, "end": 2261.4, "word": " x", "probability": 0.9658203125}, {"start": 2261.4, "end": 2261.62, "word": " bar", "probability": 0.93115234375}, {"start": 2261.62, "end": 2262.2, "word": " equals", "probability": 0.94287109375}, {"start": 2262.2, "end": 2263.46, "word": " lower", "probability": 0.85302734375}, {"start": 2263.46, "end": 2263.88, "word": " limit", "probability": 0.97021484375}, {"start": 2263.88, "end": 2264.9, "word": " plus", "probability": 0.89697265625}, {"start": 2264.9, "end": 2265.22, "word": " upper", "probability": 0.86962890625}, {"start": 2265.22, "end": 2265.52, "word": " limit", "probability": 0.96826171875}, {"start": 2265.52, "end": 2265.8, "word": " divided", "probability": 0.6982421875}, {"start": 2265.8, "end": 2266.02, "word": " by", "probability": 0.97412109375}, {"start": 2266.02, "end": 2266.22, "word": " 2.", "probability": 0.8251953125}], "temperature": 1.0}, {"id": 81, "seek": 230281, "start": 2273.97, "end": 2302.81, "text": " the error, and X bar is the average of lower and upper limits. So by using this idea now, if we compute the error term, E equals Z sigma over root N, this quantity. And again, Z is 1645. 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This gives 232.6. This is the error tier, or the margin of error. As we know, that's called margin of error or sampling error. So the error is this amount.", "tokens": [9886, 482, 538, 5593, 2625, 13, 639, 2709, 6673, 17, 13, 21, 13, 639, 307, 264, 6713, 12362, 11, 420, 264, 10270, 295, 6713, 13, 1018, 321, 458, 11, 300, 311, 1219, 10270, 295, 6713, 420, 21179, 6713, 13, 407, 264, 6713, 307, 341, 2372, 13], "avg_logprob": -0.19980052620806593, "compression_ratio": 1.3671875, "no_speech_prob": 0.0, "words": [{"start": 2304.58, "end": 2305.08, "word": " Divide", "probability": 0.682861328125}, {"start": 2305.08, "end": 2305.26, "word": " by", "probability": 0.939453125}, {"start": 2305.26, "end": 2305.52, "word": " root", "probability": 0.67626953125}, {"start": 2305.52, "end": 2305.94, "word": " 50.", "probability": 0.88037109375}, {"start": 2308.32, "end": 2309.0, "word": " This", "probability": 0.8427734375}, {"start": 2309.0, "end": 2309.38, "word": " gives", "probability": 0.8994140625}, {"start": 2309.38, "end": 2311.18, "word": " 232", "probability": 0.82568359375}, {"start": 2311.18, "end": 2311.84, "word": ".6.", "probability": 0.969482421875}, {"start": 2313.6, "end": 2314.28, "word": " This", "probability": 0.8232421875}, {"start": 2314.28, "end": 2314.38, "word": " is", "probability": 0.89697265625}, {"start": 2314.38, "end": 2314.48, "word": " the", "probability": 0.86328125}, {"start": 2314.48, "end": 2314.7, "word": " error", "probability": 0.88720703125}, {"start": 2314.7, "end": 2314.96, "word": " tier,", "probability": 0.55810546875}, {"start": 2316.3, "end": 2316.64, "word": " or", "probability": 0.9462890625}, {"start": 2316.64, "end": 2316.78, "word": " the", "probability": 0.912109375}, {"start": 2316.78, "end": 2317.04, "word": " margin", "probability": 0.935546875}, {"start": 2317.04, "end": 2317.2, "word": " of", "probability": 0.9609375}, {"start": 2317.2, "end": 2317.42, "word": " error.", "probability": 0.89697265625}, {"start": 2318.42, "end": 2319.1, "word": " As", "probability": 0.95849609375}, {"start": 2319.1, "end": 2319.22, "word": " we", "probability": 0.55517578125}, {"start": 2319.22, "end": 2319.32, "word": " know,", "probability": 0.8798828125}, {"start": 2319.42, "end": 2319.74, "word": " that's", "probability": 0.923828125}, {"start": 2319.74, "end": 2320.04, "word": " called", "probability": 0.84716796875}, {"start": 2320.04, "end": 2320.62, "word": " margin", "probability": 0.93994140625}, {"start": 2320.62, "end": 2323.36, "word": " of", "probability": 0.9462890625}, {"start": 2323.36, "end": 2323.72, "word": " error", "probability": 0.90869140625}, {"start": 2323.72, "end": 2325.62, "word": " or", "probability": 0.53173828125}, {"start": 2325.62, "end": 2326.1, "word": " sampling", "probability": 0.96875}, {"start": 2326.1, "end": 2326.4, "word": " error.", "probability": 0.92529296875}, {"start": 2330.58, "end": 2331.26, "word": " So", "probability": 0.943359375}, {"start": 2331.26, "end": 2331.4, "word": " the", "probability": 0.8564453125}, {"start": 2331.4, "end": 2331.58, "word": " error", "probability": 0.78662109375}, {"start": 2331.58, "end": 2331.76, "word": " is", "probability": 0.63037109375}, {"start": 2331.76, "end": 2332.02, "word": " this", "probability": 0.9208984375}, {"start": 2332.02, "end": 2332.36, "word": " amount.", "probability": 0.9013671875}], "temperature": 1.0}, {"id": 83, "seek": 236337, "start": 2334.17, "end": 2363.37, "text": " The width is twice this value. So W equals 2 times the error. And the answer should be the same as the one we just... So we end with the same result. Now which one is shorter? Forget about my explanation up to this point. We started from this one. 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Then we found the error to be this 232 multiply this by 2 will give the sampling error or the, I'm sorry, will give the weight of the interval. Now imagine for this problem, the income, the average income is not given. Suppose x bar is not given.", "tokens": [286, 914, 341, 2372, 13, 1396, 321, 1352, 264, 6713, 281, 312, 341, 6673, 17, 12972, 341, 538, 568, 486, 976, 264, 21179, 6713, 420, 264, 11, 286, 478, 2597, 11, 486, 976, 264, 3364, 295, 264, 15035, 13, 823, 3811, 337, 341, 1154, 11, 264, 5742, 11, 264, 4274, 5742, 307, 406, 2212, 13, 21360, 2031, 2159, 307, 406, 2212, 13], "avg_logprob": -0.2901785733207824, "compression_ratio": 1.5892857142857142, "no_speech_prob": 0.0, "words": [{"start": 2364.05, "end": 2364.35, "word": " I", "probability": 0.63916015625}, {"start": 2364.35, "end": 2364.49, "word": " mean", "probability": 0.951171875}, {"start": 2364.49, "end": 2364.75, "word": " this", "probability": 0.7421875}, {"start": 2364.75, "end": 2365.15, "word": " amount.", "probability": 0.8896484375}, {"start": 2366.43, "end": 2366.79, "word": " Then", "probability": 0.5888671875}, {"start": 2366.79, "end": 2366.99, "word": " we", "probability": 0.86962890625}, {"start": 2366.99, "end": 2367.39, "word": " found", "probability": 0.88330078125}, {"start": 2367.39, "end": 2369.05, "word": " the", "probability": 0.755859375}, {"start": 2369.05, "end": 2369.33, "word": " error", "probability": 0.884765625}, {"start": 2369.33, "end": 2369.53, "word": " to", "probability": 0.95361328125}, {"start": 2369.53, "end": 2369.75, "word": " be", "probability": 0.9541015625}, {"start": 2369.75, "end": 2370.13, "word": " this", "probability": 0.814453125}, {"start": 2370.13, "end": 2371.15, "word": " 232", "probability": 0.90087890625}, {"start": 2371.15, "end": 2371.65, "word": " multiply", "probability": 0.2393798828125}, {"start": 2371.65, "end": 2371.99, "word": " this", "probability": 0.890625}, {"start": 2371.99, "end": 2372.15, "word": " by", "probability": 0.9677734375}, {"start": 2372.15, "end": 2372.39, "word": " 2", "probability": 0.81201171875}, {"start": 2372.39, "end": 2372.95, "word": " will", "probability": 0.283203125}, {"start": 2372.95, "end": 2373.13, "word": " give", "probability": 0.859375}, {"start": 2373.13, "end": 2373.39, "word": " the", "probability": 0.861328125}, {"start": 2373.39, "end": 2373.75, "word": " sampling", "probability": 0.2442626953125}, {"start": 2373.75, "end": 2374.09, "word": " error", "probability": 0.9169921875}, {"start": 2374.09, "end": 2374.33, "word": " or", "probability": 0.365478515625}, {"start": 2374.33, "end": 2374.59, "word": " the,", "probability": 0.63232421875}, {"start": 2375.01, "end": 2375.15, "word": " I'm", "probability": 0.94287109375}, {"start": 2375.15, "end": 2375.33, "word": " sorry,", "probability": 0.8798828125}, {"start": 2375.45, "end": 2375.55, "word": " will", "probability": 0.75732421875}, {"start": 2375.55, "end": 2375.77, "word": " give", "probability": 0.87890625}, {"start": 2375.77, "end": 2376.49, "word": " the", "probability": 0.90771484375}, {"start": 2376.49, "end": 2377.37, "word": " weight", "probability": 0.3505859375}, {"start": 2377.37, "end": 2377.53, "word": " of", "probability": 0.85693359375}, {"start": 2377.53, "end": 2377.67, "word": " the", "probability": 0.876953125}, {"start": 2377.67, "end": 2377.97, "word": " interval.", "probability": 0.41845703125}, {"start": 2378.51, "end": 2378.75, "word": " Now", "probability": 0.955078125}, {"start": 2378.75, "end": 2379.17, "word": " imagine", "probability": 0.82568359375}, {"start": 2379.17, "end": 2379.63, "word": " for", "probability": 0.87744140625}, {"start": 2379.63, "end": 2379.91, "word": " this", "probability": 0.94580078125}, {"start": 2379.91, "end": 2380.43, "word": " problem,", "probability": 0.87158203125}, {"start": 2381.39, "end": 2381.63, "word": " the", "probability": 0.90087890625}, {"start": 2381.63, "end": 2382.13, "word": " income,", "probability": 0.88916015625}, {"start": 2382.45, "end": 2382.49, "word": " the", "probability": 0.916015625}, {"start": 2382.49, "end": 2382.83, "word": " average", "probability": 0.78955078125}, {"start": 2382.83, "end": 2383.17, "word": " income", "probability": 0.9384765625}, {"start": 2383.17, "end": 2383.37, "word": " is", "probability": 0.904296875}, {"start": 2383.37, "end": 2383.57, "word": " not", "probability": 0.94677734375}, {"start": 2383.57, "end": 2383.83, "word": " given.", "probability": 0.8896484375}, {"start": 2387.59, "end": 2388.21, "word": " Suppose", "probability": 0.6494140625}, {"start": 2388.21, "end": 2388.69, "word": " x", "probability": 0.7294921875}, {"start": 2388.69, "end": 2389.07, "word": " bar", "probability": 0.794921875}, {"start": 2389.07, "end": 2391.59, "word": " is", "probability": 0.92529296875}, {"start": 2391.59, "end": 2391.91, "word": " not", "probability": 0.947265625}, {"start": 2391.91, "end": 2392.21, "word": " given.", "probability": 0.89501953125}], "temperature": 1.0}, {"id": 85, "seek": 242269, "start": 2394.49, "end": 2422.69, "text": " Now the question is, can you find the answer by using this idea? But here, without using x bar, we computed the sampling error to multiply this value by 2 and get the answer. So that's for number 12. Again, for this particular example, there are two ways to solve this problem.", "tokens": [823, 264, 1168, 307, 11, 393, 291, 915, 264, 1867, 538, 1228, 341, 1558, 30, 583, 510, 11, 1553, 1228, 2031, 2159, 11, 321, 40610, 264, 21179, 6713, 281, 12972, 341, 2158, 538, 568, 293, 483, 264, 1867, 13, 407, 300, 311, 337, 1230, 2272, 13, 3764, 11, 337, 341, 1729, 1365, 11, 456, 366, 732, 2098, 281, 5039, 341, 1154, 13], "avg_logprob": -0.13789682586987814, "compression_ratio": 1.4631578947368422, "no_speech_prob": 0.0, "words": [{"start": 2394.49, "end": 2394.75, "word": " Now", "probability": 0.8818359375}, {"start": 2394.75, "end": 2394.91, "word": " the", "probability": 0.677734375}, {"start": 2394.91, "end": 2395.19, "word": " question", "probability": 0.91748046875}, {"start": 2395.19, "end": 2395.45, "word": " is,", "probability": 0.9482421875}, {"start": 2395.55, "end": 2395.71, "word": " can", "probability": 0.8876953125}, {"start": 2395.71, "end": 2395.99, "word": " you", 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then subtract upper limit from the lower limit, you will get the width of the interval. The other way, just compute the error and multiply the answer by 2, you will get the same result. Number 13.", "tokens": [440, 700, 472, 11, 291, 362, 281, 7690, 264, 6687, 15035, 11, 550, 16390, 6597, 4948, 490, 264, 3126, 4948, 11, 291, 486, 483, 264, 11402, 295, 264, 15035, 13, 440, 661, 636, 11, 445, 14722, 264, 6713, 293, 12972, 264, 1867, 538, 568, 11, 291, 486, 483, 264, 912, 1874, 13, 5118, 3705, 13], "avg_logprob": -0.18526785607848847, "compression_ratio": 1.5602409638554218, "no_speech_prob": 0.0, "words": [{"start": 2424.65, "end": 2424.93, "word": " The", "probability": 0.5712890625}, {"start": 2424.93, "end": 2425.23, "word": " first", "probability": 0.880859375}, {"start": 2425.23, "end": 2425.47, "word": " one,", "probability": 0.9130859375}, {"start": 2425.57, "end": 2425.61, "word": " you", "probability": 0.93701171875}, {"start": 2425.61, "end": 2425.79, "word": " have", "probability": 0.91748046875}, {"start": 2425.79, "end": 2425.91, "word": " to", "probability": 0.96923828125}, {"start": 2425.91, "end": 2426.35, "word": " construct", "probability": 0.95263671875}, {"start": 2426.35, "end": 2426.55, "word": " the", "probability": 0.74072265625}, {"start": 2426.55, "end": 2426.91, "word": " confidence", "probability": 0.97509765625}, {"start": 2426.91, "end": 2427.43, "word": " interval,", "probability": 0.96142578125}, {"start": 2428.07, "end": 2428.39, "word": " then", "probability": 0.64111328125}, {"start": 2428.39, "end": 2428.89, "word": " subtract", "probability": 0.79833984375}, {"start": 2428.89, "end": 2429.37, "word": " upper", "probability": 0.63720703125}, {"start": 2429.37, "end": 2429.73, "word": " limit", "probability": 0.93798828125}, {"start": 2429.73, "end": 2430.91, "word": " from", "probability": 0.87841796875}, {"start": 2430.91, "end": 2431.27, "word": " the", "probability": 0.880859375}, {"start": 2431.27, "end": 2431.81, "word": " lower", "probability": 0.8642578125}, {"start": 2431.81, "end": 2432.17, "word": " limit,", "probability": 0.96044921875}, {"start": 2432.69, "end": 2432.91, "word": " you", "probability": 0.9345703125}, {"start": 2432.91, "end": 2433.07, "word": " will", "probability": 0.8798828125}, {"start": 2433.07, "end": 2433.35, "word": " get", "probability": 0.93798828125}, {"start": 2433.35, "end": 2433.57, "word": " the", "probability": 0.91357421875}, {"start": 2433.57, "end": 2433.91, "word": " width", "probability": 0.94580078125}, {"start": 2433.91, "end": 2434.69, "word": " of", "probability": 0.95654296875}, {"start": 2434.69, "end": 2434.83, "word": " the", "probability": 0.91845703125}, {"start": 2434.83, "end": 2435.17, "word": " interval.", "probability": 0.96142578125}, {"start": 2436.95, "end": 2437.15, "word": " The", "probability": 0.8681640625}, {"start": 2437.15, "end": 2437.51, "word": " other", "probability": 0.8857421875}, {"start": 2437.51, "end": 2438.03, "word": " way,", "probability": 0.71630859375}, {"start": 2438.61, "end": 2439.07, "word": " just", "probability": 0.861328125}, {"start": 2439.07, "end": 2439.55, "word": " compute", "probability": 0.8974609375}, {"start": 2439.55, "end": 2439.81, "word": " the", "probability": 0.916015625}, {"start": 2439.81, "end": 2440.15, "word": " error", "probability": 0.890625}, {"start": 2440.15, "end": 2440.95, "word": " and", "probability": 0.5615234375}, {"start": 2440.95, "end": 2441.39, "word": " multiply", "probability": 0.9052734375}, {"start": 2441.39, "end": 2441.65, "word": " the", "probability": 0.91357421875}, {"start": 2441.65, "end": 2441.91, "word": " answer", "probability": 0.9482421875}, {"start": 2441.91, "end": 2442.15, "word": " by", "probability": 0.96826171875}, {"start": 2442.15, "end": 2442.45, "word": " 2,", "probability": 0.50048828125}, {"start": 2443.35, "end": 2443.55, "word": " you", "probability": 0.93896484375}, {"start": 2443.55, "end": 2443.73, "word": " will", "probability": 0.8857421875}, {"start": 2443.73, "end": 2443.91, "word": " get", "probability": 0.85888671875}, {"start": 2443.91, "end": 2444.09, "word": " the", "probability": 0.9111328125}, {"start": 2444.09, "end": 2444.29, "word": " same", "probability": 0.89990234375}, {"start": 2444.29, "end": 2444.71, "word": " result.", "probability": 0.9130859375}, {"start": 2446.75, "end": 2447.43, "word": " Number", "probability": 0.80712890625}, {"start": 2447.43, "end": 2448.21, "word": " 13.", "probability": 0.8681640625}], "temperature": 1.0}, {"id": 87, "seek": 248360, "start": 2456.02, "end": 2483.6, "text": " 13th says that the head librarian at the Library of Congress has asked her assistant for an interval estimate of a mean number of books checked out each day. The assistant provides the following interval estimate. From 740 to 920 books per day.", "tokens": [3705, 392, 1619, 300, 264, 1378, 42558, 412, 264, 12806, 295, 6426, 575, 2351, 720, 10994, 337, 364, 15035, 12539, 295, 257, 914, 1230, 295, 3642, 10033, 484, 1184, 786, 13, 440, 10994, 6417, 264, 3480, 15035, 12539, 13, 3358, 1614, 5254, 281, 1722, 2009, 3642, 680, 786, 13], "avg_logprob": -0.11539062291383743, "compression_ratio": 1.4759036144578312, "no_speech_prob": 0.0, "words": [{"start": 2456.02, "end": 2456.94, "word": " 13th", "probability": 0.698974609375}, {"start": 2456.94, "end": 2457.16, "word": " says", "probability": 0.8896484375}, {"start": 2457.16, "end": 2457.4, "word": " that", "probability": 0.91748046875}, {"start": 2457.4, "end": 2457.62, "word": " the", "probability": 0.83740234375}, {"start": 2457.62, "end": 2457.94, "word": " head", "probability": 0.89111328125}, {"start": 2457.94, "end": 2459.8, "word": " librarian", "probability": 0.93603515625}, {"start": 2459.8, "end": 2460.26, "word": " at", "probability": 0.9404296875}, {"start": 2460.26, "end": 2460.52, "word": " the", "probability": 0.90478515625}, {"start": 2460.52, "end": 2460.98, "word": " Library", "probability": 0.72412109375}, {"start": 2460.98, "end": 2461.18, "word": " of", "probability": 0.97314453125}, {"start": 2461.18, "end": 2461.72, "word": " Congress", "probability": 0.95947265625}, {"start": 2461.72, "end": 2462.82, "word": " has", "probability": 0.90771484375}, {"start": 2462.82, "end": 2463.3, "word": " asked", "probability": 0.8271484375}, {"start": 2463.3, "end": 2463.76, "word": " her", "probability": 0.8583984375}, {"start": 2463.76, "end": 2464.22, "word": " assistant", "probability": 0.9482421875}, {"start": 2464.22, "end": 2464.6, "word": " for", "probability": 0.95068359375}, {"start": 2464.6, "end": 2464.78, "word": " an", "probability": 0.95361328125}, {"start": 2464.78, "end": 2465.12, "word": " interval", "probability": 0.98486328125}, {"start": 2465.12, "end": 2465.92, "word": " estimate", "probability": 0.90283203125}, {"start": 2465.92, "end": 2466.82, "word": " of", "probability": 0.9638671875}, {"start": 2466.82, "end": 2466.96, "word": " a", "probability": 0.74365234375}, {"start": 2466.96, "end": 2467.06, "word": " mean", "probability": 0.96142578125}, {"start": 2467.06, "end": 2467.44, "word": " number", "probability": 0.9365234375}, {"start": 2467.44, "end": 2467.66, "word": " of", "probability": 0.96142578125}, {"start": 2467.66, "end": 2467.98, "word": " books", "probability": 0.912109375}, {"start": 2467.98, "end": 2468.42, "word": " checked", "probability": 0.8486328125}, {"start": 2468.42, "end": 2468.96, "word": " out", "probability": 0.87353515625}, {"start": 2468.96, "end": 2469.56, "word": " each", "probability": 0.9482421875}, {"start": 2469.56, "end": 2469.84, "word": " day.", "probability": 0.94775390625}, {"start": 2471.1, "end": 2471.32, "word": " The", "probability": 0.89453125}, {"start": 2471.32, "end": 2471.94, "word": " assistant", "probability": 0.951171875}, {"start": 2471.94, "end": 2472.52, "word": " provides", "probability": 0.83837890625}, {"start": 2472.52, "end": 2472.72, "word": " the", "probability": 0.91796875}, {"start": 2472.72, "end": 2473.1, "word": " following", "probability": 0.8759765625}, {"start": 2473.1, "end": 2473.98, "word": " interval", "probability": 0.98291015625}, {"start": 2473.98, "end": 2474.6, "word": " estimate.", "probability": 0.890625}, {"start": 2476.22, "end": 2477.14, "word": " From", "probability": 0.7548828125}, {"start": 2477.14, "end": 2478.52, "word": " 740", "probability": 0.907958984375}, {"start": 2478.52, "end": 2480.34, "word": " to", "probability": 0.92578125}, {"start": 2480.34, "end": 2482.02, "word": " 920", "probability": 0.938232421875}, {"start": 2482.02, "end": 2483.0, "word": " books", "probability": 0.91748046875}, {"start": 2483.0, "end": 2483.3, "word": " per", "probability": 0.94580078125}, {"start": 2483.3, "end": 2483.6, "word": " day.", "probability": 0.9580078125}], "temperature": 1.0}, {"id": 88, "seek": 251169, "start": 2484.66, "end": 2511.7, "text": " If the head librarian knows that the population standard deviation is 150 books shipped outwardly, approximately how large a sample did her assistant use to determine the interval estimate? So the information we have is the following. We have information about the confidence interval.", "tokens": [759, 264, 1378, 42558, 3255, 300, 264, 4415, 3832, 25163, 307, 8451, 3642, 25312, 26914, 356, 11, 10447, 577, 2416, 257, 6889, 630, 720, 10994, 764, 281, 6997, 264, 15035, 12539, 30, 407, 264, 1589, 321, 362, 307, 264, 3480, 13, 492, 362, 1589, 466, 264, 6687, 15035, 13], "avg_logprob": -0.256718755364418, "compression_ratio": 1.5212765957446808, "no_speech_prob": 0.0, "words": [{"start": 2484.66, "end": 2484.98, "word": " If", "probability": 0.55224609375}, {"start": 2484.98, "end": 2485.14, "word": " the", "probability": 0.8466796875}, {"start": 2485.14, "end": 2485.42, "word": " head", "probability": 0.81787109375}, {"start": 2485.42, "end": 2486.32, "word": " librarian", "probability": 0.496337890625}, {"start": 2486.32, "end": 2487.02, "word": " knows", "probability": 0.82275390625}, {"start": 2487.02, "end": 2487.4, "word": " that", "probability": 0.80615234375}, {"start": 2487.4, "end": 2488.36, "word": " the", "probability": 0.7451171875}, {"start": 2488.36, "end": 2488.8, "word": " population", "probability": 0.89697265625}, {"start": 2488.8, "end": 2489.12, "word": " standard", "probability": 0.3955078125}, {"start": 2489.12, "end": 2489.44, "word": " deviation", "probability": 0.97998046875}, {"start": 2489.44, "end": 2489.66, "word": " is", "probability": 0.919921875}, {"start": 2489.66, "end": 2490.54, "word": " 150", "probability": 0.853515625}, {"start": 2490.54, "end": 2493.52, "word": " books", "probability": 0.583984375}, {"start": 2493.52, "end": 2493.88, "word": " shipped", "probability": 0.9287109375}, {"start": 2493.88, "end": 2494.78, "word": " outwardly,", "probability": 0.535400390625}, {"start": 2494.9, "end": 2495.56, "word": " approximately", "probability": 0.8544921875}, {"start": 2495.56, "end": 2495.8, "word": " how", "probability": 0.88818359375}, {"start": 2495.8, "end": 2496.12, "word": " large", "probability": 0.96484375}, {"start": 2496.12, "end": 2496.32, "word": " a", "probability": 0.767578125}, {"start": 2496.32, "end": 2496.68, "word": " sample", "probability": 0.89111328125}, {"start": 2496.68, "end": 2497.42, "word": " did", "probability": 0.947265625}, {"start": 2497.42, "end": 2497.58, "word": " her", "probability": 0.912109375}, {"start": 2497.58, "end": 2498.04, "word": " assistant", "probability": 0.9599609375}, {"start": 2498.04, "end": 2498.56, "word": " use", "probability": 0.85888671875}, {"start": 2498.56, "end": 2499.2, "word": " to", "probability": 0.9140625}, {"start": 2499.2, "end": 2499.64, "word": " determine", "probability": 0.92041015625}, {"start": 2499.64, "end": 2499.88, "word": " the", "probability": 0.88916015625}, {"start": 2499.88, "end": 2500.2, "word": " interval", "probability": 0.3818359375}, {"start": 2500.2, "end": 2500.84, "word": " estimate?", "probability": 0.8701171875}, {"start": 2502.4, "end": 2503.04, "word": " So", "probability": 0.70361328125}, {"start": 2503.04, "end": 2503.18, "word": " the", "probability": 0.7099609375}, {"start": 2503.18, "end": 2503.62, "word": " information", "probability": 0.83203125}, {"start": 2503.62, "end": 2503.86, "word": " we", "probability": 0.92919921875}, {"start": 2503.86, "end": 2504.2, "word": " have", "probability": 0.9453125}, {"start": 2504.2, "end": 2506.38, "word": " is", "probability": 0.88916015625}, {"start": 2506.38, "end": 2506.54, "word": " the", "probability": 0.892578125}, {"start": 2506.54, "end": 2506.8, "word": " following.", "probability": 0.8916015625}, {"start": 2507.44, "end": 2508.18, "word": " We", "probability": 0.912109375}, {"start": 2508.18, "end": 2508.36, "word": " have", "probability": 0.94677734375}, {"start": 2508.36, "end": 2508.78, "word": " information", "probability": 0.8203125}, {"start": 2508.78, "end": 2509.18, "word": " about", "probability": 0.90234375}, {"start": 2509.18, "end": 2510.86, "word": " the", "probability": 0.84716796875}, {"start": 2510.86, "end": 2511.22, "word": " confidence", "probability": 0.90771484375}, {"start": 2511.22, "end": 2511.7, "word": " interval.", "probability": 0.927734375}], "temperature": 1.0}, {"id": 89, "seek": 254888, "start": 2521.44, "end": 2548.88, "text": " 920 books. And sigma is known to be 150. That's all we have. He asked about how large a sample did Herelsen's conclusion determine the interval estimate. Look at the answers. A is 2.", "tokens": [1722, 2009, 3642, 13, 400, 12771, 307, 444, 648, 281, 312, 8451, 13, 663, 311, 439, 321, 362, 13, 634, 2351, 466, 577, 2416, 257, 6889, 630, 634, 4419, 6748, 311, 10063, 6997, 264, 15035, 12539, 13, 2053, 412, 264, 6338, 13, 316, 307, 568, 13], "avg_logprob": -0.37001329533597255, "compression_ratio": 1.2797202797202798, "no_speech_prob": 0.0, "words": [{"start": 2521.4400000000005, "end": 2522.1200000000003, "word": " 920", "probability": 0.681396484375}, {"start": 2522.1200000000003, "end": 2522.8, "word": " books.", "probability": 0.2607421875}, {"start": 2525.94, "end": 2526.62, "word": " And", "probability": 0.93408203125}, {"start": 2526.62, "end": 2526.9, "word": " sigma", "probability": 0.63623046875}, {"start": 2526.9, "end": 2527.16, "word": " is", "probability": 0.9541015625}, {"start": 2527.16, "end": 2527.48, "word": " known", "probability": 0.61669921875}, {"start": 2527.48, "end": 2528.14, "word": " to", "probability": 0.96044921875}, {"start": 2528.14, "end": 2528.26, "word": " be", "probability": 0.94775390625}, {"start": 2528.26, "end": 2528.7, "word": " 150.", "probability": 0.8271484375}, {"start": 2532.98, "end": 2533.66, "word": " That's", "probability": 0.88037109375}, {"start": 2533.66, "end": 2534.62, "word": " all", "probability": 0.95556640625}, {"start": 2534.62, "end": 2535.18, "word": " we", "probability": 0.95654296875}, {"start": 2535.18, "end": 2535.56, "word": " have.", "probability": 0.94091796875}, {"start": 2536.34, "end": 2536.58, "word": " He", "probability": 0.65234375}, {"start": 2536.58, "end": 2536.78, "word": " asked", "probability": 0.434326171875}, {"start": 2536.78, "end": 2537.08, "word": " about", "probability": 0.88720703125}, {"start": 2537.08, "end": 2537.34, "word": " how", "probability": 0.91162109375}, {"start": 2537.34, "end": 2537.7, "word": " large", "probability": 0.87158203125}, {"start": 2537.7, "end": 2537.98, "word": " a", "probability": 0.8125}, {"start": 2537.98, "end": 2538.28, "word": " sample", "probability": 0.94921875}, {"start": 2538.28, "end": 2538.58, "word": " did", "probability": 0.88671875}, {"start": 2538.58, "end": 2539.14, "word": " Herelsen's", "probability": 0.340240478515625}, {"start": 2539.14, "end": 2539.46, "word": " conclusion", "probability": 0.1898193359375}, {"start": 2539.46, "end": 2540.16, "word": " determine", "probability": 0.9384765625}, {"start": 2540.16, "end": 2540.88, "word": " the", "probability": 0.91455078125}, {"start": 2540.88, "end": 2541.26, "word": " interval", "probability": 0.80615234375}, {"start": 2541.26, "end": 2541.82, "word": " estimate.", "probability": 0.8759765625}, {"start": 2546.74, "end": 2547.42, "word": " Look", "probability": 0.82373046875}, {"start": 2547.42, "end": 2547.56, "word": " at", "probability": 0.93701171875}, {"start": 2547.56, "end": 2547.7, "word": " the", "probability": 0.9208984375}, {"start": 2547.7, "end": 2547.98, "word": " answers.", "probability": 0.80419921875}, {"start": 2548.16, "end": 2548.36, "word": " A", "probability": 0.751953125}, {"start": 2548.36, "end": 2548.58, "word": " is", "probability": 0.94189453125}, {"start": 2548.58, "end": 2548.88, "word": " 2.", "probability": 0.72900390625}], "temperature": 1.0}, {"id": 90, "seek": 257655, "start": 2549.83, "end": 2576.55, "text": " B is 3, C is 12, it cannot be determined from the information given. Now, in order to find the number, the sample, we need Sigma or E squared. Confidence is not given. Sigma is okay. We can find the error.", "tokens": [363, 307, 805, 11, 383, 307, 2272, 11, 309, 2644, 312, 9540, 490, 264, 1589, 2212, 13, 823, 11, 294, 1668, 281, 915, 264, 1230, 11, 264, 6889, 11, 321, 643, 36595, 420, 462, 8889, 13, 11701, 2778, 307, 406, 2212, 13, 36595, 307, 1392, 13, 492, 393, 915, 264, 6713, 13], "avg_logprob": -0.3010023517428704, "compression_ratio": 1.3642384105960266, "no_speech_prob": 0.0, "words": [{"start": 2549.83, "end": 2550.15, "word": " B", "probability": 0.654296875}, {"start": 2550.15, "end": 2550.31, "word": " is", "probability": 0.837890625}, {"start": 2550.31, "end": 2550.61, "word": " 3,", "probability": 0.703125}, {"start": 2550.95, "end": 2551.11, "word": " C", "probability": 0.849609375}, {"start": 2551.11, "end": 2551.25, "word": " is", "probability": 0.94482421875}, {"start": 2551.25, "end": 2551.57, "word": " 12,", "probability": 0.955078125}, {"start": 2551.73, "end": 2551.85, "word": " it", "probability": 0.469970703125}, {"start": 2551.85, "end": 2552.05, "word": " cannot", "probability": 0.7900390625}, {"start": 2552.05, "end": 2552.27, "word": " be", "probability": 0.9248046875}, {"start": 2552.27, "end": 2552.65, "word": " determined", "probability": 0.927734375}, {"start": 2552.65, "end": 2553.07, "word": " from", "probability": 0.85009765625}, {"start": 2553.07, "end": 2553.23, "word": " the", "probability": 0.86572265625}, {"start": 2553.23, "end": 2553.63, "word": " information", "probability": 0.76025390625}, {"start": 2553.63, "end": 2553.95, "word": " given.", "probability": 0.86572265625}, {"start": 2557.19, "end": 2557.43, "word": " Now,", "probability": 0.90673828125}, {"start": 2557.51, "end": 2557.61, "word": " in", "probability": 0.93896484375}, {"start": 2557.61, "end": 2557.77, "word": " order", "probability": 0.923828125}, {"start": 2557.77, "end": 2558.03, "word": " to", "probability": 0.96923828125}, {"start": 2558.03, "end": 2558.31, "word": " find", "probability": 0.88818359375}, {"start": 2558.31, "end": 2558.99, "word": " the", "probability": 0.90966796875}, {"start": 2558.99, "end": 2559.53, "word": " number,", "probability": 0.6650390625}, {"start": 2560.03, "end": 2560.61, "word": " the", "probability": 0.90673828125}, {"start": 2560.61, "end": 2561.09, "word": " sample,", "probability": 0.59375}, {"start": 2562.99, "end": 2563.19, "word": " we", "probability": 0.9140625}, {"start": 2563.19, "end": 2563.57, "word": " need", "probability": 0.923828125}, {"start": 2563.57, "end": 2564.21, "word": " Sigma", "probability": 0.3271484375}, {"start": 2564.21, "end": 2564.71, "word": " or", "probability": 0.306884765625}, {"start": 2564.71, "end": 2565.03, "word": " E", "probability": 0.427734375}, {"start": 2565.03, "end": 2565.45, "word": " squared.", "probability": 0.54052734375}, {"start": 2567.03, "end": 2567.63, "word": " Confidence", "probability": 0.962646484375}, {"start": 2567.63, "end": 2567.87, "word": " is", "probability": 0.9462890625}, {"start": 2567.87, "end": 2568.03, "word": " not", "probability": 0.9501953125}, {"start": 2568.03, "end": 2568.35, "word": " given.", "probability": 0.89501953125}, {"start": 2570.55, "end": 2571.17, "word": " Sigma", "probability": 0.92919921875}, {"start": 2571.17, "end": 2571.39, "word": " is", "probability": 0.95361328125}, {"start": 2571.39, "end": 2571.75, "word": " okay.", "probability": 0.67822265625}, {"start": 2574.25, "end": 2574.89, "word": " We", "probability": 0.370361328125}, {"start": 2574.89, "end": 2575.83, "word": " can", "probability": 0.50048828125}, {"start": 2575.83, "end": 2576.17, "word": " find", "probability": 0.8525390625}, {"start": 2576.17, "end": 2576.35, "word": " the", "probability": 0.826171875}, {"start": 2576.35, "end": 2576.55, "word": " error.", "probability": 0.919921875}], "temperature": 1.0}, {"id": 91, "seek": 260819, "start": 2579.26, "end": 2608.2, "text": " The error is just W divided by 2. So the error is fine. I mean, E is fine. E is B minus A or upper limit minus lower limit divided by 2. So width divided by 2. So this is fine. But you don't have information about Z. We are looking for N. 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So the information is determined from the information given. Make sense? So we cannot compute this score. Z is fine. Z is 150. 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Now for number 14, we have the same information. But here, she asked her assistant to use 25 days. So now, n is 25. We have the same information about the interval.", "tokens": [9886, 482, 538, 732, 2709, 264, 912, 1874, 13, 823, 337, 1230, 3499, 11, 321, 362, 264, 912, 1589, 13, 583, 510, 11, 750, 2351, 720, 10994, 281, 764, 3552, 1708, 13, 407, 586, 11, 297, 307, 3552, 13, 492, 362, 264, 912, 1589, 466, 264, 15035, 13], "avg_logprob": -0.2342155563588045, "compression_ratio": 1.4428571428571428, "no_speech_prob": 0.0, "words": [{"start": 2637.93, "end": 2638.45, "word": " Divide", "probability": 0.72705078125}, {"start": 2638.45, "end": 2638.69, "word": " by", "probability": 0.93505859375}, {"start": 2638.69, "end": 2639.09, "word": " two", "probability": 0.5654296875}, {"start": 2639.09, "end": 2639.53, "word": " gives", "probability": 0.693359375}, {"start": 2639.53, "end": 2640.05, "word": " the", "probability": 0.89453125}, {"start": 2640.05, "end": 2640.59, "word": " same", "probability": 0.5615234375}, {"start": 2640.59, "end": 2640.77, "word": " result.", "probability": 0.61572265625}, {"start": 2641.75, "end": 2642.59, "word": " Now", "probability": 0.8818359375}, {"start": 2642.59, "end": 2642.85, "word": " for", "probability": 0.6845703125}, {"start": 2642.85, "end": 2643.03, "word": " number", "probability": 0.8330078125}, {"start": 2643.03, "end": 2643.59, "word": " 14,", "probability": 0.734375}, {"start": 2645.03, "end": 2645.51, "word": " we", "probability": 0.919921875}, {"start": 2645.51, "end": 2645.79, "word": " have", "probability": 0.94921875}, {"start": 2645.79, "end": 2647.71, "word": " the", "probability": 0.83349609375}, {"start": 2647.71, "end": 2647.91, "word": " same", "probability": 0.89892578125}, {"start": 2647.91, "end": 2648.41, "word": " information.", "probability": 0.84326171875}, {"start": 2650.37, "end": 2650.93, "word": " But", "probability": 0.88671875}, {"start": 2650.93, "end": 2651.33, "word": " here,", "probability": 0.8583984375}, {"start": 2654.45, "end": 2656.09, "word": " she", "probability": 0.8544921875}, {"start": 2656.09, "end": 2656.43, "word": " asked", "probability": 0.62158203125}, {"start": 2656.43, "end": 2656.67, "word": " her", "probability": 0.9228515625}, {"start": 2656.67, "end": 2657.15, "word": " assistant", "probability": 0.93310546875}, {"start": 2657.15, "end": 2657.57, "word": " to", "probability": 0.72802734375}, {"start": 2657.57, "end": 2657.79, "word": " use", "probability": 0.8720703125}, {"start": 2657.79, "end": 2658.47, "word": " 25", "probability": 0.83154296875}, {"start": 2658.47, "end": 2659.01, "word": " days.", "probability": 0.951171875}, {"start": 2659.99, "end": 2660.09, "word": " So", "probability": 0.8662109375}, {"start": 2660.09, "end": 2660.41, "word": " now,", "probability": 0.88232421875}, {"start": 2661.21, "end": 2662.03, "word": " n", "probability": 0.5625}, {"start": 2662.03, "end": 2662.17, "word": " is", "probability": 0.912109375}, {"start": 2662.17, "end": 2662.51, "word": " 25.", "probability": 0.947265625}, {"start": 2663.21, "end": 2663.49, "word": " We", "probability": 0.94677734375}, {"start": 2663.49, "end": 2663.63, "word": " have", "probability": 0.9296875}, {"start": 2663.63, "end": 2663.77, "word": " the", "probability": 0.90380859375}, {"start": 2663.77, "end": 2663.93, "word": " same", "probability": 0.90673828125}, {"start": 2663.93, "end": 2664.35, "word": " information", "probability": 0.859375}, {"start": 2664.35, "end": 2664.73, "word": " about", "probability": 0.90283203125}, {"start": 2664.73, "end": 2664.99, "word": " the", "probability": 0.8896484375}, {"start": 2664.99, "end": 2665.31, "word": " interval.", "probability": 0.86083984375}], "temperature": 1.0}, {"id": 94, "seek": 269624, "start": 2672.02, "end": 2696.24, "text": " And sigma is 150. So she asked her assistant to use 25 days of data to construct the interval estimate. So n is 25. What confidence level can she attach to the interval estimate? Now in this case, we are asking about confidence, not z.", "tokens": [400, 12771, 307, 8451, 13, 407, 750, 2351, 720, 10994, 281, 764, 3552, 1708, 295, 1412, 281, 7690, 264, 15035, 12539, 13, 407, 297, 307, 3552, 13, 708, 6687, 1496, 393, 750, 5085, 281, 264, 15035, 12539, 30, 823, 294, 341, 1389, 11, 321, 366, 3365, 466, 6687, 11, 406, 710, 13], "avg_logprob": -0.2175707513431333, "compression_ratio": 1.475, "no_speech_prob": 0.0, "words": [{"start": 2672.02, "end": 2672.36, "word": " And", "probability": 0.46533203125}, {"start": 2672.36, "end": 2672.66, "word": " sigma", "probability": 0.509765625}, {"start": 2672.66, "end": 2672.88, "word": " is", "probability": 0.89697265625}, {"start": 2672.88, "end": 2673.3, "word": " 150.", "probability": 0.83984375}, {"start": 2676.3, "end": 2677.02, "word": " So", "probability": 0.87939453125}, {"start": 2677.02, "end": 2677.64, "word": " she", "probability": 0.61962890625}, {"start": 2677.64, "end": 2678.1, "word": " asked", "probability": 0.7958984375}, {"start": 2678.1, "end": 2678.36, "word": " her", "probability": 0.8037109375}, {"start": 2678.36, "end": 2678.8, "word": " assistant", "probability": 0.94384765625}, {"start": 2678.8, "end": 2679.1, "word": " to", "probability": 0.53662109375}, {"start": 2679.1, "end": 2679.22, "word": " use", "probability": 0.8759765625}, {"start": 2679.22, "end": 2679.64, "word": " 25", "probability": 0.919921875}, {"start": 2679.64, "end": 2680.16, "word": " days", "probability": 0.931640625}, {"start": 2680.16, "end": 2680.5, "word": " of", "probability": 0.958984375}, {"start": 2680.5, "end": 2680.8, "word": " data", "probability": 0.95068359375}, {"start": 2680.8, "end": 2681.06, "word": " to", "probability": 0.94970703125}, {"start": 2681.06, "end": 2681.56, "word": " construct", "probability": 0.9638671875}, {"start": 2681.56, "end": 2681.74, "word": " the", "probability": 0.630859375}, {"start": 2681.74, "end": 2682.04, "word": " interval", "probability": 0.9775390625}, {"start": 2682.04, "end": 2682.5, "word": " estimate.", "probability": 0.865234375}, {"start": 2683.02, "end": 2683.18, "word": " So", "probability": 0.92529296875}, {"start": 2683.18, "end": 2683.34, "word": " n", "probability": 0.4873046875}, {"start": 2683.34, "end": 2683.46, "word": " is", "probability": 0.91796875}, {"start": 2683.46, "end": 2683.86, "word": " 25.", "probability": 0.93896484375}, {"start": 2684.98, "end": 2685.32, "word": " What", "probability": 0.88037109375}, {"start": 2685.32, "end": 2685.74, "word": " confidence", "probability": 0.98388671875}, {"start": 2685.74, "end": 2686.2, "word": " level", "probability": 0.9501953125}, {"start": 2686.2, "end": 2686.5, "word": " can", "probability": 0.9443359375}, {"start": 2686.5, "end": 2686.88, "word": " she", "probability": 0.9267578125}, {"start": 2686.88, "end": 2687.72, "word": " attach", "probability": 0.8798828125}, {"start": 2687.72, "end": 2688.12, "word": " to", "probability": 0.9658203125}, {"start": 2688.12, "end": 2688.3, "word": " the", "probability": 0.91845703125}, {"start": 2688.3, "end": 2688.72, "word": " interval", "probability": 0.9833984375}, {"start": 2688.72, "end": 2689.26, "word": " estimate?", "probability": 0.8818359375}, {"start": 2691.12, "end": 2691.3, "word": " Now", "probability": 0.53076171875}, {"start": 2691.3, "end": 2691.46, "word": " in", "probability": 0.623046875}, {"start": 2691.46, "end": 2691.62, "word": " this", "probability": 0.951171875}, {"start": 2691.62, "end": 2691.92, "word": " case,", "probability": 0.923828125}, {"start": 2692.7, "end": 2693.0, "word": " we", "probability": 0.96044921875}, {"start": 2693.0, "end": 2693.18, "word": " are", "probability": 0.931640625}, {"start": 2693.18, "end": 2693.5, "word": " asking", "probability": 0.86865234375}, {"start": 2693.5, "end": 2694.08, "word": " about", "probability": 0.904296875}, {"start": 2694.08, "end": 2695.18, "word": " confidence,", "probability": 0.27490234375}, {"start": 2695.66, "end": 2696.04, "word": " not", "probability": 0.935546875}, {"start": 2696.04, "end": 2696.24, "word": " z.", "probability": 0.53173828125}], "temperature": 1.0}, {"id": 95, "seek": 272855, "start": 2700.93, "end": 2728.55, "text": " You have to distinguish between confidence level and z. We use z, I'm sorry, we use z level to compute the z score. Now, which one is correct? 99.7, 99, 98, 95.4. Let's see. Now, what's the average? I'm sorry, the formula is x bar plus or minus z sigma over root n. 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We are looking about this one. Now, also there are two ways to solve this problem. Either focus on the aortia, or just find a continuous interval by itself. So let's focus on this one. Z sigma over root of.", "tokens": [682, 341, 1389, 11, 341, 307, 264, 8513, 321, 362, 13, 492, 366, 1237, 466, 341, 472, 13, 823, 11, 611, 456, 366, 732, 2098, 281, 5039, 341, 1154, 13, 13746, 1879, 322, 264, 257, 477, 654, 11, 420, 445, 915, 257, 10957, 15035, 538, 2564, 13, 407, 718, 311, 1879, 322, 341, 472, 13, 1176, 12771, 670, 5593, 295, 13], "avg_logprob": -0.31779233005739027, "compression_ratio": 1.4705882352941178, "no_speech_prob": 0.0, "words": [{"start": 2729.07, "end": 2729.27, "word": " In", "probability": 0.36962890625}, {"start": 2729.27, "end": 2729.49, "word": " this", "probability": 0.9462890625}, {"start": 2729.49, "end": 2729.83, "word": " case,", "probability": 0.912109375}, {"start": 2731.13, "end": 2731.43, "word": " this", "probability": 0.8125}, {"start": 2731.43, "end": 2731.53, "word": " is", "probability": 0.9462890625}, {"start": 2731.53, "end": 2731.63, "word": " the", "probability": 0.6611328125}, {"start": 2731.63, "end": 2731.89, "word": " formula", "probability": 0.433349609375}, {"start": 2731.89, "end": 2732.15, "word": " we", "probability": 0.8447265625}, {"start": 2732.15, "end": 2732.33, "word": " have.", "probability": 0.9267578125}, {"start": 2733.91, "end": 2734.49, "word": " We", "probability": 0.83544921875}, {"start": 2734.49, "end": 2734.71, "word": " are", "probability": 0.91650390625}, {"start": 2734.71, "end": 2735.03, "word": " looking", "probability": 0.442138671875}, {"start": 2735.03, "end": 2735.61, "word": " about", "probability": 0.72119140625}, {"start": 2735.61, "end": 2736.03, "word": " this", "probability": 0.6064453125}, {"start": 2736.03, "end": 2736.39, "word": " one.", "probability": 0.399169921875}, {"start": 2737.41, "end": 2737.85, "word": " Now,", "probability": 0.943359375}, {"start": 2738.01, "end": 2738.29, "word": " also", "probability": 0.5361328125}, {"start": 2738.29, "end": 2738.47, "word": " there", "probability": 0.69580078125}, {"start": 2738.47, "end": 2738.59, "word": " are", "probability": 0.93798828125}, {"start": 2738.59, "end": 2738.77, "word": " two", "probability": 0.912109375}, {"start": 2738.77, "end": 2739.05, "word": " ways", "probability": 0.90283203125}, {"start": 2739.05, "end": 2739.21, "word": " to", "probability": 0.951171875}, {"start": 2739.21, "end": 2739.41, "word": " solve", "probability": 0.93115234375}, {"start": 2739.41, "end": 2739.59, "word": " this", "probability": 0.9443359375}, {"start": 2739.59, "end": 2739.95, "word": " problem.", "probability": 0.8671875}, {"start": 2740.11, "end": 2740.37, "word": " Either", "probability": 0.81298828125}, {"start": 2740.37, "end": 2742.43, "word": " focus", "probability": 0.78125}, {"start": 2742.43, "end": 2743.11, "word": " on", "probability": 0.94775390625}, {"start": 2743.11, "end": 2743.25, "word": " the", "probability": 0.89794921875}, {"start": 2743.25, "end": 2743.73, "word": " aortia,", "probability": 0.5616658528645834}, {"start": 2745.57, "end": 2746.09, "word": " or", "probability": 0.94091796875}, {"start": 2746.09, "end": 2746.41, "word": " just", "probability": 0.8974609375}, {"start": 2746.41, "end": 2746.69, "word": " find", "probability": 0.8896484375}, {"start": 2746.69, "end": 2746.85, "word": " a", "probability": 0.6552734375}, {"start": 2746.85, "end": 2747.19, "word": " continuous", "probability": 0.3466796875}, {"start": 2747.19, "end": 2747.69, "word": " interval", "probability": 0.88623046875}, {"start": 2747.69, "end": 2747.95, "word": " by", "probability": 0.96337890625}, {"start": 2747.95, "end": 2748.37, "word": " itself.", "probability": 0.8173828125}, {"start": 2748.95, "end": 2749.19, "word": " So", "probability": 0.95556640625}, {"start": 2749.19, "end": 2749.41, "word": " let's", "probability": 0.8857421875}, {"start": 2749.41, "end": 2749.91, "word": " focus", "probability": 0.9423828125}, {"start": 2749.91, "end": 2750.83, "word": " on", "probability": 0.95068359375}, {"start": 2750.83, "end": 2751.07, "word": " this", "probability": 0.95263671875}, {"start": 2751.07, "end": 2751.39, "word": " one.", "probability": 0.92431640625}, {"start": 2753.03, "end": 2753.53, "word": " Z", "probability": 0.6748046875}, {"start": 2753.53, "end": 2754.83, "word": " sigma", "probability": 0.69970703125}, {"start": 2754.83, "end": 2755.83, "word": " over", "probability": 0.796875}, {"start": 2755.83, "end": 2756.07, "word": " root", "probability": 0.89794921875}, {"start": 2756.07, "end": 2756.23, "word": " of.", "probability": 0.55908203125}], "temperature": 1.0}, {"id": 97, "seek": 278792, "start": 2759.62, "end": 2787.92, "text": " And we have x bar. What's the value of x bar? x bar 740 plus x bar 830. 1660 divided by 2, 830.", "tokens": [400, 321, 362, 2031, 2159, 13, 708, 311, 264, 2158, 295, 2031, 2159, 30, 2031, 2159, 1614, 5254, 1804, 2031, 2159, 1649, 3446, 13, 3165, 4550, 6666, 538, 568, 11, 1649, 3446, 13], "avg_logprob": -0.19404871980933583, "compression_ratio": 1.103448275862069, "no_speech_prob": 0.0, "words": [{"start": 2759.62, "end": 2759.88, "word": " And", "probability": 0.7421875}, {"start": 2759.88, "end": 2760.0, "word": " we", "probability": 0.89501953125}, {"start": 2760.0, "end": 2760.14, "word": " have", "probability": 0.94873046875}, {"start": 2760.14, "end": 2760.38, "word": " x", "probability": 0.666015625}, {"start": 2760.38, "end": 2760.68, "word": " bar.", "probability": 0.7880859375}, {"start": 2761.22, "end": 2761.82, "word": " What's", "probability": 0.797607421875}, {"start": 2761.82, "end": 2761.88, "word": " the", "probability": 0.91796875}, {"start": 2761.88, "end": 2762.0, "word": " value", "probability": 0.97021484375}, {"start": 2762.0, "end": 2762.14, "word": " of", "probability": 0.9423828125}, {"start": 2762.14, "end": 2762.24, "word": " x", "probability": 0.994140625}, {"start": 2762.24, "end": 2762.52, "word": " bar?", "probability": 0.94287109375}, {"start": 2764.74, "end": 2765.38, "word": " x", "probability": 0.7470703125}, {"start": 2765.38, "end": 2765.78, "word": " bar", "probability": 0.9345703125}, {"start": 2765.78, "end": 2767.9, "word": " 740", "probability": 0.746337890625}, {"start": 2767.9, "end": 2769.1, "word": " plus", "probability": 0.87255859375}, {"start": 2769.1, "end": 2775.24, "word": " x", "probability": 0.7255859375}, {"start": 2775.24, "end": 2775.48, "word": " bar", "probability": 0.94921875}, {"start": 2775.48, "end": 2776.4, "word": " 830.", "probability": 0.94189453125}, {"start": 2785.38, "end": 2786.02, "word": " 1660", "probability": 0.63916015625}, {"start": 2786.02, "end": 2786.32, "word": " divided", "probability": 0.708984375}, {"start": 2786.32, "end": 2786.5, "word": " by", "probability": 0.96875}, {"start": 2786.5, "end": 2786.88, "word": " 2,", "probability": 0.76220703125}, {"start": 2787.22, "end": 2787.92, "word": " 830.", "probability": 0.940185546875}], "temperature": 1.0}, {"id": 98, "seek": 281490, "start": 2789.74, "end": 2814.9, "text": " Now, z equals, I don't know, sigma, sigma is 150, n is 5. So here we have 30 sigma. Now, what's the value of sigma? 36, so we have x bar, now the value of x bar.", "tokens": [823, 11, 710, 6915, 11, 286, 500, 380, 458, 11, 12771, 11, 12771, 307, 8451, 11, 297, 307, 1025, 13, 407, 510, 321, 362, 2217, 12771, 13, 823, 11, 437, 311, 264, 2158, 295, 12771, 30, 8652, 11, 370, 321, 362, 2031, 2159, 11, 586, 264, 2158, 295, 2031, 2159, 13], "avg_logprob": -0.30183294530098254, "compression_ratio": 1.35, "no_speech_prob": 0.0, "words": [{"start": 2789.74, "end": 2790.06, "word": " Now,", "probability": 0.68017578125}, {"start": 2790.18, "end": 2790.3, "word": " z", "probability": 0.611328125}, {"start": 2790.3, "end": 2790.84, "word": " equals,", "probability": 0.501953125}, {"start": 2791.28, "end": 2791.54, "word": " I", "probability": 0.87939453125}, {"start": 2791.54, "end": 2791.74, "word": " don't", "probability": 0.970458984375}, {"start": 2791.74, "end": 2791.98, "word": " know,", "probability": 0.8486328125}, {"start": 2792.44, "end": 2792.96, "word": " sigma,", "probability": 0.82568359375}, {"start": 2793.72, "end": 2794.86, "word": " sigma", "probability": 0.87255859375}, {"start": 2794.86, "end": 2795.08, "word": " is", "probability": 0.92578125}, {"start": 2795.08, "end": 2795.64, "word": " 150,", "probability": 0.35791015625}, {"start": 2797.12, "end": 2797.72, "word": " n", "probability": 0.418701171875}, {"start": 2797.72, "end": 2797.9, "word": " is", "probability": 0.92431640625}, {"start": 2797.9, "end": 2798.18, "word": " 5.", "probability": 0.783203125}, {"start": 2799.26, "end": 2799.54, "word": " So", "probability": 0.8935546875}, {"start": 2799.54, "end": 2799.74, "word": " here", "probability": 0.72705078125}, {"start": 2799.74, "end": 2799.9, "word": " we", "probability": 0.77197265625}, {"start": 2799.9, "end": 2800.66, "word": " have", "probability": 0.9501953125}, {"start": 2800.66, "end": 2801.22, "word": " 30", "probability": 0.5673828125}, {"start": 2801.22, "end": 2801.6, "word": " sigma.", "probability": 0.88671875}, {"start": 2804.98, "end": 2805.54, "word": " Now,", "probability": 0.9267578125}, {"start": 2805.94, "end": 2806.76, "word": " what's", "probability": 0.643798828125}, {"start": 2806.76, "end": 2806.92, "word": " the", "probability": 0.9189453125}, {"start": 2806.92, "end": 2807.12, "word": " value", "probability": 0.98486328125}, {"start": 2807.12, "end": 2807.3, "word": " of", "probability": 0.95166015625}, {"start": 2807.3, "end": 2807.54, "word": " sigma?", "probability": 0.9404296875}, {"start": 2810.08, "end": 2810.64, "word": " 36,", "probability": 0.327392578125}, {"start": 2810.92, "end": 2811.04, "word": " so", "probability": 0.9130859375}, {"start": 2811.04, "end": 2811.16, "word": " we", "probability": 0.91162109375}, {"start": 2811.16, "end": 2811.28, "word": " have", "probability": 0.94873046875}, {"start": 2811.28, "end": 2811.56, "word": " x", "probability": 0.96728515625}, {"start": 2811.56, "end": 2811.88, "word": " bar,", "probability": 0.79833984375}, {"start": 2813.74, "end": 2813.98, "word": " now", "probability": 0.7607421875}, {"start": 2813.98, "end": 2814.16, "word": " the", "probability": 0.8447265625}, {"start": 2814.16, "end": 2814.32, "word": " value", "probability": 0.982421875}, {"start": 2814.32, "end": 2814.48, "word": " of", "probability": 0.74462890625}, {"start": 2814.48, "end": 2814.62, "word": " x", "probability": 0.9951171875}, {"start": 2814.62, "end": 2814.9, "word": " bar.", "probability": 0.94384765625}], "temperature": 1.0}, {"id": 99, "seek": 284963, "start": 2822.33, "end": 2849.63, "text": " So we have x bar 830 plus or minus 30 there. Now, if you look carefully at this equation, what's the value of z in order to have this confidence interval, which is 740 and 920?", "tokens": [407, 321, 362, 2031, 2159, 1649, 3446, 1804, 420, 3175, 2217, 456, 13, 823, 11, 498, 291, 574, 7500, 412, 341, 5367, 11, 437, 311, 264, 2158, 295, 710, 294, 1668, 281, 362, 341, 6687, 15035, 11, 597, 307, 1614, 5254, 293, 1722, 2009, 30], "avg_logprob": -0.20686141984618228, "compression_ratio": 1.2464788732394365, "no_speech_prob": 0.0, "words": [{"start": 2822.33, "end": 2822.57, "word": " So", "probability": 0.8349609375}, {"start": 2822.57, "end": 2822.69, "word": " we", "probability": 0.6640625}, {"start": 2822.69, "end": 2822.87, "word": " have", "probability": 0.9423828125}, {"start": 2822.87, "end": 2823.41, "word": " x", "probability": 0.7421875}, {"start": 2823.41, "end": 2823.77, "word": " bar", "probability": 0.3154296875}, {"start": 2823.77, "end": 2825.33, "word": " 830", "probability": 0.76806640625}, {"start": 2825.33, "end": 2826.73, "word": " plus", "probability": 0.7373046875}, {"start": 2826.73, "end": 2828.15, "word": " or", "probability": 0.94287109375}, {"start": 2828.15, "end": 2828.83, "word": " minus", "probability": 0.98779296875}, {"start": 2828.83, "end": 2830.21, "word": " 30", "probability": 0.412841796875}, {"start": 2830.21, "end": 2830.53, "word": " there.", "probability": 0.468505859375}, {"start": 2835.29, "end": 2836.05, "word": " Now,", "probability": 0.92041015625}, {"start": 2836.43, "end": 2836.63, "word": " if", "probability": 0.94482421875}, {"start": 2836.63, "end": 2836.71, "word": " you", "probability": 0.94970703125}, {"start": 2836.71, "end": 2836.89, "word": " look", "probability": 0.96337890625}, {"start": 2836.89, "end": 2837.23, "word": " carefully", "probability": 0.79296875}, {"start": 2837.23, "end": 2837.41, "word": " at", "probability": 0.95361328125}, {"start": 2837.41, "end": 2837.57, "word": " this", "probability": 0.93798828125}, {"start": 2837.57, "end": 2838.03, "word": " equation,", "probability": 0.984375}, {"start": 2839.55, "end": 2840.01, "word": " what's", "probability": 0.938720703125}, {"start": 2840.01, "end": 2840.15, "word": " the", "probability": 0.91748046875}, {"start": 2840.15, "end": 2840.41, "word": " value", "probability": 0.9794921875}, {"start": 2840.41, "end": 2840.59, "word": " of", "probability": 0.8388671875}, {"start": 2840.59, "end": 2840.79, "word": " z", "probability": 0.61328125}, {"start": 2840.79, "end": 2842.51, "word": " in", "probability": 0.81494140625}, {"start": 2842.51, "end": 2842.79, "word": " order", "probability": 0.91845703125}, {"start": 2842.79, "end": 2843.35, "word": " to", "probability": 0.96923828125}, {"start": 2843.35, "end": 2844.27, "word": " have", "probability": 0.87255859375}, {"start": 2844.27, "end": 2844.57, "word": " this", "probability": 0.9375}, {"start": 2844.57, "end": 2844.99, "word": " confidence", "probability": 0.483154296875}, {"start": 2844.99, "end": 2845.43, "word": " interval,", "probability": 0.95556640625}, {"start": 2845.97, "end": 2846.31, "word": " which", "probability": 0.95361328125}, {"start": 2846.31, "end": 2846.49, "word": " is", "probability": 0.9423828125}, {"start": 2846.49, "end": 2847.21, "word": " 740", "probability": 0.9111328125}, {"start": 2847.21, "end": 2849.05, "word": " and", "probability": 0.90380859375}, {"start": 2849.05, "end": 2849.63, "word": " 920?", "probability": 0.889892578125}], "temperature": 1.0}, {"id": 100, "seek": 288189, "start": 2856.17, "end": 2881.89, "text": " So, Z should be... What's the value of Z? Now, 830 minus 3Z equals this value. So, Z equals... 3. So, Z is 3. That's why. Now, Z is 3.", "tokens": [407, 11, 1176, 820, 312, 485, 708, 311, 264, 2158, 295, 1176, 30, 823, 11, 1649, 3446, 3175, 805, 57, 6915, 341, 2158, 13, 407, 11, 1176, 6915, 485, 805, 13, 407, 11, 1176, 307, 805, 13, 663, 311, 983, 13, 823, 11, 1176, 307, 805, 13], "avg_logprob": -0.3227539124588172, "compression_ratio": 1.3106796116504855, "no_speech_prob": 0.0, "words": [{"start": 2856.17, "end": 2856.85, "word": " So,", "probability": 0.5244140625}, {"start": 2857.05, "end": 2857.29, "word": " Z", "probability": 0.3876953125}, {"start": 2857.29, "end": 2857.71, "word": " should", "probability": 0.869140625}, {"start": 2857.71, "end": 2860.73, "word": " be...", "probability": 0.42303466796875}, {"start": 2860.73, "end": 2861.45, "word": " What's", "probability": 0.719482421875}, {"start": 2861.45, "end": 2861.53, "word": " the", "probability": 0.92431640625}, {"start": 2861.53, "end": 2861.67, "word": " value", "probability": 0.98388671875}, {"start": 2861.67, "end": 2861.81, "word": " of", "probability": 0.9658203125}, {"start": 2861.81, "end": 2861.93, "word": " Z?", "probability": 0.97216796875}, {"start": 2862.59, "end": 2863.07, "word": " Now,", "probability": 0.89990234375}, {"start": 2863.45, "end": 2864.01, "word": " 830", "probability": 0.2108154296875}, {"start": 2864.01, "end": 2864.39, "word": " minus", "probability": 0.9248046875}, {"start": 2864.39, "end": 2865.81, "word": " 3Z", "probability": 0.50726318359375}, {"start": 2865.81, "end": 2866.29, "word": " equals", "probability": 0.7685546875}, {"start": 2866.29, "end": 2866.61, "word": " this", "probability": 0.921875}, {"start": 2866.61, "end": 2866.87, "word": " value.", "probability": 0.97021484375}, {"start": 2869.83, "end": 2870.15, "word": " So,", "probability": 0.91943359375}, {"start": 2870.23, "end": 2870.31, "word": " Z", "probability": 0.9755859375}, {"start": 2870.31, "end": 2873.39, "word": " equals...", "probability": 0.6571044921875}, {"start": 2873.39, "end": 2876.45, "word": " 3.", "probability": 0.459228515625}, {"start": 2876.83, "end": 2877.41, "word": " So,", "probability": 0.94775390625}, {"start": 2877.53, "end": 2877.75, "word": " Z", "probability": 0.986328125}, {"start": 2877.75, "end": 2877.99, "word": " is", "probability": 0.92626953125}, {"start": 2877.99, "end": 2878.31, "word": " 3.", "probability": 0.87353515625}, {"start": 2879.53, "end": 2879.93, "word": " That's", "probability": 0.928955078125}, {"start": 2879.93, "end": 2880.13, "word": " why.", "probability": 0.77783203125}, {"start": 2880.53, "end": 2880.85, "word": " Now,", "probability": 0.95166015625}, {"start": 2881.19, "end": 2881.41, "word": " Z", "probability": 0.98583984375}, {"start": 2881.41, "end": 2881.61, "word": " is", "probability": 0.93994140625}, {"start": 2881.61, "end": 2881.89, "word": " 3.", "probability": 0.90478515625}], "temperature": 1.0}, {"id": 101, "seek": 291064, "start": 2883.06, "end": 2910.64, "text": " What do you think the corresponding C level? 99.7% If you remember for the 68 empirical rule 68, 95, 99.7% In chapter 6 we said that", "tokens": [708, 360, 291, 519, 264, 11760, 383, 1496, 30, 11803, 13, 22, 4, 759, 291, 1604, 337, 264, 23317, 31886, 4978, 23317, 11, 13420, 11, 11803, 13, 22, 4, 682, 7187, 1386, 321, 848, 300], "avg_logprob": -0.3454861086275842, "compression_ratio": 1.146551724137931, "no_speech_prob": 0.0, "words": [{"start": 2883.06, "end": 2883.38, "word": " What", "probability": 0.41552734375}, {"start": 2883.38, "end": 2883.54, "word": " do", "probability": 0.6474609375}, {"start": 2883.54, "end": 2883.54, "word": " you", "probability": 0.95556640625}, {"start": 2883.54, "end": 2883.86, "word": " think", "probability": 0.916015625}, {"start": 2883.86, "end": 2884.1, "word": " the", "probability": 0.3994140625}, {"start": 2884.1, "end": 2884.64, "word": " corresponding", "probability": 0.70849609375}, {"start": 2884.64, "end": 2884.92, "word": " C", "probability": 0.398681640625}, {"start": 2884.92, "end": 2885.18, "word": " level?", "probability": 0.58349609375}, {"start": 2891.46, "end": 2892.3, "word": " 99", "probability": 0.5810546875}, {"start": 2892.3, "end": 2892.96, "word": ".7", "probability": 0.964599609375}, {"start": 2892.96, "end": 2893.06, "word": "%", "probability": 0.68701171875}, {"start": 2893.06, "end": 2896.56, "word": " If", "probability": 0.55908203125}, {"start": 2896.56, "end": 2896.72, "word": " you", "probability": 0.9521484375}, {"start": 2896.72, "end": 2897.06, "word": " remember", "probability": 0.8798828125}, {"start": 2897.06, "end": 2898.24, "word": " for", "probability": 0.54736328125}, {"start": 2898.24, "end": 2898.66, "word": " the", "probability": 0.857421875}, {"start": 2898.66, "end": 2900.16, "word": " 68", "probability": 0.6533203125}, {"start": 2900.16, "end": 2901.36, "word": " empirical", "probability": 0.6240234375}, {"start": 2901.36, "end": 2901.78, "word": " rule", "probability": 0.81494140625}, {"start": 2901.78, "end": 2902.62, "word": " 68,", "probability": 0.52587890625}, {"start": 2904.24, "end": 2905.7, "word": " 95,", "probability": 0.572265625}, {"start": 2906.76, "end": 2907.08, "word": " 99", "probability": 0.9521484375}, {"start": 2907.08, "end": 2907.66, "word": ".7", "probability": 0.973876953125}, {"start": 2907.66, "end": 2908.08, "word": "%", "probability": 0.80712890625}, {"start": 2908.08, "end": 2909.18, "word": " In", "probability": 0.638671875}, {"start": 2909.18, "end": 2909.44, "word": " chapter", "probability": 0.6201171875}, {"start": 2909.44, "end": 2909.82, "word": " 6", "probability": 0.77587890625}, {"start": 2909.82, "end": 2910.04, "word": " we", "probability": 0.69677734375}, {"start": 2910.04, "end": 2910.28, "word": " said", "probability": 0.91064453125}, {"start": 2910.28, "end": 2910.64, "word": " that", "probability": 0.94091796875}], "temperature": 1.0}, {"id": 102, "seek": 293728, "start": 2911.56, "end": 2937.28, "text": " 99.7% of the data falls within three standard deviations of the mean. So if these three, I am sure that we are using 99.7% for the confidence level. So for this particular example here, we have new information about the sample size. So N is 25.", "tokens": [11803, 13, 22, 4, 295, 264, 1412, 8804, 1951, 1045, 3832, 31219, 763, 295, 264, 914, 13, 407, 498, 613, 1045, 11, 286, 669, 988, 300, 321, 366, 1228, 11803, 13, 22, 4, 337, 264, 6687, 1496, 13, 407, 337, 341, 1729, 1365, 510, 11, 321, 362, 777, 1589, 466, 264, 6889, 2744, 13, 407, 426, 307, 3552, 13], "avg_logprob": -0.14570313195387521, "compression_ratio": 1.467065868263473, "no_speech_prob": 0.0, "words": [{"start": 2911.56, "end": 2912.02, "word": " 99", "probability": 0.5009765625}, {"start": 2912.02, "end": 2912.66, "word": ".7", "probability": 0.9814453125}, {"start": 2912.66, "end": 2912.96, "word": "%", "probability": 0.771484375}, {"start": 2912.96, "end": 2913.26, "word": " of", "probability": 0.92919921875}, {"start": 2913.26, "end": 2913.4, "word": " the", "probability": 0.91259765625}, {"start": 2913.4, "end": 2913.76, "word": " data", "probability": 0.94921875}, {"start": 2913.76, "end": 2914.42, "word": " falls", "probability": 0.80029296875}, {"start": 2914.42, "end": 2914.88, "word": " within", "probability": 0.9111328125}, {"start": 2914.88, "end": 2916.0, "word": " three", "probability": 0.63671875}, {"start": 2916.0, "end": 2916.38, "word": " standard", "probability": 0.908203125}, {"start": 2916.38, "end": 2916.9, "word": " deviations", "probability": 0.90771484375}, {"start": 2916.9, "end": 2917.1, "word": " of", "probability": 0.96240234375}, {"start": 2917.1, "end": 2917.22, "word": " the", "probability": 0.9267578125}, {"start": 2917.22, "end": 2917.42, "word": " mean.", "probability": 0.97509765625}, {"start": 2918.48, "end": 2918.84, "word": " So", "probability": 0.9384765625}, {"start": 2918.84, "end": 2919.12, "word": " if", "probability": 0.7314453125}, {"start": 2919.12, "end": 2919.36, "word": " these", "probability": 0.452880859375}, {"start": 2919.36, "end": 2919.78, "word": " three,", "probability": 0.900390625}, {"start": 2919.96, "end": 2920.06, "word": " I", "probability": 0.99658203125}, {"start": 2920.06, "end": 2920.2, "word": " am", "probability": 0.88427734375}, {"start": 2920.2, "end": 2920.46, "word": " sure", "probability": 0.91064453125}, {"start": 2920.46, "end": 2920.84, "word": " that", "probability": 0.9296875}, {"start": 2920.84, "end": 2921.84, "word": " we", "probability": 0.92431640625}, {"start": 2921.84, "end": 2921.98, "word": " are", "probability": 0.9404296875}, {"start": 2921.98, "end": 2922.5, "word": " using", "probability": 0.93017578125}, {"start": 2922.5, "end": 2923.2, "word": " 99", "probability": 0.96630859375}, {"start": 2923.2, "end": 2924.02, "word": ".7", "probability": 0.997314453125}, {"start": 2924.02, "end": 2925.0, "word": "%", "probability": 0.974609375}, {"start": 2925.0, "end": 2925.66, "word": " for", "probability": 0.93701171875}, {"start": 2925.66, "end": 2925.84, "word": " the", "probability": 0.91015625}, {"start": 2925.84, "end": 2926.26, "word": " confidence", "probability": 0.9716796875}, {"start": 2926.26, "end": 2926.54, "word": " level.", "probability": 0.947265625}, {"start": 2928.6, "end": 2929.36, "word": " So", "probability": 0.8876953125}, {"start": 2929.36, "end": 2930.1, "word": " for", "probability": 0.70263671875}, {"start": 2930.1, "end": 2930.34, "word": " this", "probability": 0.9443359375}, {"start": 2930.34, "end": 2930.72, "word": " particular", "probability": 0.8916015625}, {"start": 2930.72, "end": 2931.22, "word": " example", "probability": 0.9765625}, {"start": 2931.22, "end": 2931.52, "word": " here,", "probability": 0.8037109375}, {"start": 2931.58, "end": 2931.7, "word": " we", "probability": 0.95654296875}, {"start": 2931.7, "end": 2932.06, "word": " have", "probability": 0.94482421875}, {"start": 2932.06, "end": 2932.68, "word": " new", "probability": 0.56396484375}, {"start": 2932.68, "end": 2933.28, "word": " information", "probability": 0.84130859375}, {"start": 2933.28, "end": 2933.78, "word": " about", "probability": 0.9013671875}, {"start": 2933.78, "end": 2934.66, "word": " the", "probability": 0.86181640625}, {"start": 2934.66, "end": 2934.9, "word": " sample", "probability": 0.8818359375}, {"start": 2934.9, "end": 2935.42, "word": " size.", "probability": 0.849609375}, {"start": 2936.06, "end": 2936.64, "word": " So", "probability": 0.94482421875}, {"start": 2936.64, "end": 2936.8, "word": " N", "probability": 0.4189453125}, {"start": 2936.8, "end": 2936.9, "word": " is", "probability": 0.94384765625}, {"start": 2936.9, "end": 2937.28, "word": " 25.", "probability": 0.93896484375}], "temperature": 1.0}, {"id": 103, "seek": 296585, "start": 2941.63, "end": 2965.85, "text": " So just simple calculation x bar as I mentioned here. The average is lower limit plus upper limit divided by 2. So x bar equals 830. So now your confidence interval is x bar plus or minus z sigma over root n.", "tokens": [407, 445, 2199, 17108, 2031, 2159, 382, 286, 2835, 510, 13, 440, 4274, 307, 3126, 4948, 1804, 6597, 4948, 6666, 538, 568, 13, 407, 2031, 2159, 6915, 1649, 3446, 13, 407, 586, 428, 6687, 15035, 307, 2031, 2159, 1804, 420, 3175, 710, 12771, 670, 5593, 297, 13], "avg_logprob": -0.20491535930583873, "compression_ratio": 1.375, "no_speech_prob": 0.0, "words": [{"start": 2941.63, "end": 2941.97, "word": " So", "probability": 0.72802734375}, {"start": 2941.97, "end": 2942.25, "word": " just", "probability": 0.60400390625}, {"start": 2942.25, "end": 2942.57, "word": " simple", "probability": 0.79052734375}, {"start": 2942.57, "end": 2943.17, "word": " calculation", "probability": 0.86669921875}, {"start": 2943.17, "end": 2943.61, "word": " x", "probability": 0.3623046875}, {"start": 2943.61, "end": 2943.95, "word": " bar", "probability": 0.83447265625}, {"start": 2943.95, "end": 2945.63, "word": " as", "probability": 0.646484375}, {"start": 2945.63, "end": 2945.81, "word": " I", "probability": 0.91650390625}, {"start": 2945.81, "end": 2946.19, "word": " mentioned", "probability": 0.78857421875}, {"start": 2946.19, "end": 2946.55, "word": " here.", "probability": 0.8447265625}, {"start": 2948.23, "end": 2948.67, "word": " The", "probability": 0.8544921875}, {"start": 2948.67, "end": 2949.15, "word": " average", "probability": 0.77978515625}, {"start": 2949.15, "end": 2949.67, "word": " is", "probability": 0.93701171875}, {"start": 2949.67, "end": 2950.29, "word": " lower", "probability": 0.83203125}, {"start": 2950.29, "end": 2950.63, "word": " limit", "probability": 0.97021484375}, {"start": 2950.63, "end": 2950.97, "word": " plus", "probability": 0.90771484375}, {"start": 2950.97, "end": 2951.23, "word": " upper", "probability": 0.88330078125}, {"start": 2951.23, "end": 2951.51, "word": " limit", "probability": 0.970703125}, {"start": 2951.51, "end": 2951.73, "word": " divided", "probability": 0.708984375}, {"start": 2951.73, "end": 2951.91, "word": " by", "probability": 0.970703125}, {"start": 2951.91, "end": 2952.17, "word": " 2.", "probability": 0.57666015625}, {"start": 2952.83, "end": 2953.11, "word": " So", "probability": 0.93701171875}, {"start": 2953.11, "end": 2953.37, "word": " x", "probability": 0.92138671875}, {"start": 2953.37, "end": 2953.73, "word": " bar", "probability": 0.9072265625}, {"start": 2953.73, "end": 2955.57, "word": " equals", "probability": 0.9208984375}, {"start": 2955.57, "end": 2956.99, "word": " 830.", "probability": 0.8583984375}, {"start": 2957.69, "end": 2957.89, "word": " So", "probability": 0.93359375}, {"start": 2957.89, "end": 2958.07, "word": " now", "probability": 0.86865234375}, {"start": 2958.07, "end": 2958.27, "word": " your", "probability": 0.82861328125}, {"start": 2958.27, "end": 2958.67, "word": " confidence", "probability": 0.97900390625}, {"start": 2958.67, "end": 2959.17, "word": " interval", "probability": 0.96533203125}, {"start": 2959.17, "end": 2959.63, "word": " is", "probability": 0.93994140625}, {"start": 2959.63, "end": 2960.33, "word": " x", "probability": 0.97412109375}, {"start": 2960.33, "end": 2960.65, "word": " bar", "probability": 0.94775390625}, {"start": 2960.65, "end": 2962.45, "word": " plus", "probability": 0.9208984375}, {"start": 2962.45, "end": 2962.69, "word": " or", "probability": 0.95947265625}, {"start": 2962.69, "end": 2963.23, "word": " minus", "probability": 0.98583984375}, {"start": 2963.23, "end": 2964.63, "word": " z", "probability": 0.76123046875}, {"start": 2964.63, "end": 2965.13, "word": " sigma", "probability": 0.84326171875}, {"start": 2965.13, "end": 2965.29, "word": " over", "probability": 0.892578125}, {"start": 2965.29, "end": 2965.59, "word": " root", "probability": 0.94677734375}, {"start": 2965.59, "end": 2965.85, "word": " n.", "probability": 0.85498046875}], "temperature": 1.0}, {"id": 104, "seek": 299387, "start": 2967.59, "end": 2993.87, "text": " z sigma over root n, z is unknown, sigma is 150, n is 25, which is 5, square root of it, so we'll have 3z. So now x bar 830 minus 3z, this is the lower limit, upper limit 830 plus 3z.", "tokens": [710, 12771, 670, 5593, 297, 11, 710, 307, 9841, 11, 12771, 307, 8451, 11, 297, 307, 3552, 11, 597, 307, 1025, 11, 3732, 5593, 295, 309, 11, 370, 321, 603, 362, 805, 89, 13, 407, 586, 2031, 2159, 1649, 3446, 3175, 805, 89, 11, 341, 307, 264, 3126, 4948, 11, 6597, 4948, 1649, 3446, 1804, 805, 89, 13], "avg_logprob": -0.2154396135928267, "compression_ratio": 1.3333333333333333, "no_speech_prob": 0.0, "words": [{"start": 2967.59, "end": 2967.97, "word": " z", "probability": 0.1458740234375}, {"start": 2967.97, "end": 2968.29, "word": " sigma", "probability": 0.7060546875}, {"start": 2968.29, "end": 2968.45, "word": " over", "probability": 0.705078125}, {"start": 2968.45, "end": 2968.71, "word": " root", "probability": 0.9306640625}, {"start": 2968.71, "end": 2968.95, "word": " n,", "probability": 0.8583984375}, {"start": 2969.79, "end": 2970.27, "word": " z", "probability": 0.95068359375}, {"start": 2970.27, "end": 2970.69, "word": " is", "probability": 0.95166015625}, {"start": 2970.69, "end": 2971.07, "word": " unknown,", "probability": 0.8935546875}, {"start": 2972.19, "end": 2972.47, "word": " sigma", "probability": 0.896484375}, {"start": 2972.47, "end": 2972.71, "word": " is", "probability": 0.955078125}, {"start": 2972.71, "end": 2973.25, "word": " 150,", "probability": 0.76513671875}, {"start": 2974.19, "end": 2974.41, "word": " n", "probability": 0.9482421875}, {"start": 2974.41, "end": 2974.55, "word": " is", "probability": 0.9521484375}, {"start": 2974.55, "end": 2974.97, "word": " 25,", "probability": 0.91162109375}, {"start": 2975.69, "end": 2975.91, "word": " which", "probability": 0.94482421875}, {"start": 2975.91, "end": 2976.07, "word": " is", "probability": 0.9453125}, {"start": 2976.07, "end": 2976.41, "word": " 5,", "probability": 0.87109375}, {"start": 2976.51, "end": 2976.73, "word": " square", "probability": 0.560546875}, {"start": 2976.73, "end": 2976.93, "word": " root", "probability": 0.95751953125}, {"start": 2976.93, "end": 2977.03, "word": " of", "probability": 0.9736328125}, {"start": 2977.03, "end": 2977.21, "word": " it,", "probability": 0.880859375}, {"start": 2977.55, "end": 2977.81, "word": " so", "probability": 0.86181640625}, {"start": 2977.81, "end": 2977.97, "word": " we'll", "probability": 0.7421875}, {"start": 2977.97, "end": 2979.33, "word": " have", "probability": 0.57177734375}, {"start": 2979.33, "end": 2980.37, "word": " 3z.", "probability": 0.911865234375}, {"start": 2980.93, "end": 2981.41, "word": " So", "probability": 0.94287109375}, {"start": 2981.41, "end": 2981.67, "word": " now", "probability": 0.80517578125}, {"start": 2981.67, "end": 2982.09, "word": " x", "probability": 0.57177734375}, {"start": 2982.09, "end": 2982.45, "word": " bar", "probability": 0.85791015625}, {"start": 2982.45, "end": 2985.11, "word": " 830", "probability": 0.7054443359375}, {"start": 2985.11, "end": 2986.17, "word": " minus", "probability": 0.96728515625}, {"start": 2986.17, "end": 2988.39, "word": " 3z,", "probability": 0.974853515625}, {"start": 2989.61, "end": 2989.75, "word": " this", "probability": 0.4892578125}, {"start": 2989.75, "end": 2989.83, "word": " is", "probability": 0.94970703125}, {"start": 2989.83, "end": 2989.95, "word": " the", "probability": 0.8994140625}, {"start": 2989.95, "end": 2990.13, "word": " lower", "probability": 0.88427734375}, {"start": 2990.13, "end": 2990.45, "word": " limit,", "probability": 0.96630859375}, {"start": 2990.69, "end": 2990.93, "word": " upper", "probability": 0.81689453125}, {"start": 2990.93, "end": 2991.35, "word": " limit", "probability": 0.96826171875}, {"start": 2991.35, "end": 2993.11, "word": " 830", "probability": 0.814697265625}, {"start": 2993.11, "end": 2993.37, "word": " plus", "probability": 0.9365234375}, {"start": 2993.37, "end": 2993.87, "word": " 3z.", "probability": 0.9951171875}], "temperature": 1.0}, {"id": 105, "seek": 302234, "start": 2995.48, "end": 3022.34, "text": " Now, the confidence interval is given by 740 and 920. Just use the lower limit. 830 minus 3z equals 740. Simple calculation here. 830 minus 740 is 90, equals 3z. That means z equals 3.", "tokens": [823, 11, 264, 6687, 15035, 307, 2212, 538, 1614, 5254, 293, 1722, 2009, 13, 1449, 764, 264, 3126, 4948, 13, 1649, 3446, 3175, 805, 89, 6915, 1614, 5254, 13, 21532, 17108, 510, 13, 1649, 3446, 3175, 1614, 5254, 307, 4289, 11, 6915, 805, 89, 13, 663, 1355, 710, 6915, 805, 13], "avg_logprob": -0.24894831845393547, "compression_ratio": 1.3214285714285714, "no_speech_prob": 0.0, "words": [{"start": 2995.48, "end": 2995.78, "word": " Now,", "probability": 0.68505859375}, {"start": 2996.04, "end": 2996.24, "word": " the", "probability": 0.79736328125}, {"start": 2996.24, "end": 2996.62, "word": " confidence", "probability": 0.9599609375}, {"start": 2996.62, "end": 2997.12, "word": " interval", "probability": 0.9892578125}, {"start": 2997.12, "end": 2997.38, "word": " is", "probability": 0.9140625}, {"start": 2997.38, "end": 2997.62, "word": " given", "probability": 0.861328125}, {"start": 2997.62, "end": 2998.02, "word": " by", "probability": 0.95654296875}, {"start": 2998.02, "end": 2998.82, "word": " 740", "probability": 0.3377685546875}, {"start": 2998.82, "end": 2999.0, "word": " and", "probability": 0.71337890625}, {"start": 2999.0, "end": 2999.6, "word": " 920.", "probability": 0.890380859375}, {"start": 3001.06, "end": 3001.54, "word": " Just", "probability": 0.74267578125}, {"start": 3001.54, "end": 3003.38, "word": " use", "probability": 0.81884765625}, {"start": 3003.38, "end": 3003.54, "word": " the", "probability": 0.89404296875}, {"start": 3003.54, "end": 3003.74, "word": " lower", "probability": 0.81591796875}, {"start": 3003.74, "end": 3004.14, "word": " limit.", "probability": 0.9404296875}, {"start": 3005.36, "end": 3006.0, "word": " 830", "probability": 0.835693359375}, {"start": 3006.0, "end": 3008.04, "word": " minus", "probability": 0.86572265625}, {"start": 3008.04, "end": 3008.52, "word": " 3z", "probability": 0.73046875}, {"start": 3008.52, "end": 3009.02, "word": " equals", "probability": 0.71240234375}, {"start": 3009.02, "end": 3010.82, "word": " 740.", "probability": 0.906494140625}, {"start": 3012.3, "end": 3012.9, "word": " Simple", "probability": 0.362060546875}, {"start": 3012.9, "end": 3013.54, "word": " calculation", "probability": 0.93603515625}, {"start": 3013.54, "end": 3013.96, "word": " here.", "probability": 0.798828125}, {"start": 3016.0, "end": 3016.62, "word": " 830", "probability": 0.901123046875}, {"start": 3016.62, "end": 3017.08, "word": " minus", "probability": 0.982421875}, {"start": 3017.08, "end": 3017.72, "word": " 740", "probability": 0.91748046875}, {"start": 3017.72, "end": 3017.92, "word": " is", "probability": 0.8359375}, {"start": 3017.92, "end": 3018.28, "word": " 90,", "probability": 0.892578125}, {"start": 3018.66, "end": 3019.18, "word": " equals", "probability": 0.501953125}, {"start": 3019.18, "end": 3019.78, "word": " 3z.", "probability": 0.972412109375}, {"start": 3020.64, "end": 3021.24, "word": " That", "probability": 0.849609375}, {"start": 3021.24, "end": 3021.6, "word": " means", "probability": 0.9091796875}, {"start": 3021.6, "end": 3021.84, "word": " z", "probability": 0.8310546875}, {"start": 3021.84, "end": 3022.14, "word": " equals", "probability": 0.78466796875}, {"start": 3022.14, "end": 3022.34, "word": " 3.", "probability": 0.82470703125}], "temperature": 1.0}, {"id": 106, "seek": 304939, "start": 3026.07, "end": 3049.39, "text": " Now the z value is 3, it means the confidence is 9917, so the correct answer is A. The other way, you can use that one, by using the", "tokens": [823, 264, 710, 2158, 307, 805, 11, 309, 1355, 264, 6687, 307, 11803, 7773, 11, 370, 264, 3006, 1867, 307, 316, 13, 440, 661, 636, 11, 291, 393, 764, 300, 472, 11, 538, 1228, 264], "avg_logprob": -0.2916666782564587, "compression_ratio": 1.1981981981981982, "no_speech_prob": 0.0, "words": [{"start": 3026.07, "end": 3026.45, "word": " Now", "probability": 0.7255859375}, {"start": 3026.45, "end": 3026.77, "word": " the", "probability": 0.5078125}, {"start": 3026.77, "end": 3026.91, "word": " z", "probability": 0.5166015625}, {"start": 3026.91, "end": 3027.23, "word": " value", "probability": 0.78271484375}, {"start": 3027.23, "end": 3027.47, "word": " is", "probability": 0.931640625}, {"start": 3027.47, "end": 3027.77, "word": " 3,", "probability": 0.595703125}, {"start": 3028.05, "end": 3028.29, "word": " it", "probability": 0.65771484375}, {"start": 3028.29, "end": 3028.57, "word": " means", "probability": 0.93505859375}, {"start": 3028.57, "end": 3028.77, "word": " the", "probability": 0.78662109375}, {"start": 3028.77, "end": 3029.13, "word": " confidence", "probability": 0.97412109375}, {"start": 3029.13, "end": 3029.75, "word": " is", "probability": 0.92431640625}, {"start": 3029.75, "end": 3031.37, "word": " 9917,", "probability": 0.77490234375}, {"start": 3031.77, "end": 3031.95, "word": " so", "probability": 0.92041015625}, {"start": 3031.95, "end": 3032.15, "word": " the", "probability": 0.9150390625}, {"start": 3032.15, "end": 3032.43, "word": " correct", "probability": 0.91357421875}, {"start": 3032.43, "end": 3032.81, "word": " answer", "probability": 0.951171875}, {"start": 3032.81, "end": 3033.03, "word": " is", "probability": 0.953125}, {"start": 3033.03, "end": 3033.53, "word": " A.", "probability": 0.794921875}, {"start": 3044.69, "end": 3045.25, "word": " The", "probability": 0.2044677734375}, {"start": 3045.25, "end": 3045.51, "word": " other", "probability": 0.8623046875}, {"start": 3045.51, "end": 3045.73, "word": " way,", "probability": 0.95654296875}, {"start": 3046.21, "end": 3046.41, "word": " you", "probability": 0.95068359375}, {"start": 3046.41, "end": 3046.61, "word": " can", "probability": 0.9423828125}, {"start": 3046.61, "end": 3046.79, "word": " use", "probability": 0.8759765625}, {"start": 3046.79, "end": 3046.97, "word": " that", "probability": 0.923828125}, {"start": 3046.97, "end": 3047.25, "word": " one,", "probability": 0.8857421875}, {"start": 3048.37, "end": 3048.59, "word": " by", "probability": 0.95947265625}, {"start": 3048.59, "end": 3048.93, "word": " using", "probability": 0.9296875}, {"start": 3048.93, "end": 3049.39, "word": " the", "probability": 0.91357421875}], "temperature": 1.0}, {"id": 107, "seek": 308087, "start": 3053.01, "end": 3080.87, "text": " Margin of error, which is the difference between these two divided by two, you will get the same result. So there are two methods, one of these straightforward one. The other one, as you mentioned, is the error term. It's B minus upper limit minus lower limit divided by two. 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What's the value for this one? 90. So the margin of error is 90. So E equals E. Sigma or N equals? All squared. So by using this equation you can get your result.", "tokens": [2829, 301, 28868, 6666, 538, 568, 13, 708, 311, 264, 2158, 337, 341, 472, 30, 4289, 13, 407, 264, 10270, 295, 6713, 307, 4289, 13, 407, 462, 6915, 462, 13, 36595, 420, 426, 6915, 30, 1057, 8889, 13, 407, 538, 1228, 341, 5367, 291, 393, 483, 428, 1874, 13], "avg_logprob": -0.30500000059604643, "compression_ratio": 1.3191489361702127, "no_speech_prob": 0.0, "words": [{"start": 3082.89, "end": 3083.39, "word": " Minus", "probability": 0.61041259765625}, {"start": 3083.39, "end": 3083.89, "word": " 74", "probability": 0.2685546875}, {"start": 3083.89, "end": 3084.25, "word": " divided", "probability": 0.39501953125}, {"start": 3084.25, "end": 3084.49, "word": " by", "probability": 0.970703125}, {"start": 3084.49, "end": 3084.75, "word": " 2.", "probability": 0.85498046875}, {"start": 3086.69, "end": 3087.33, "word": " What's", "probability": 0.788818359375}, {"start": 3087.33, "end": 3087.45, "word": " the", "probability": 0.919921875}, {"start": 3087.45, "end": 3087.63, "word": " value", "probability": 0.97021484375}, {"start": 3087.63, "end": 3087.89, "word": " for", "probability": 0.89208984375}, {"start": 3087.89, "end": 3088.11, "word": " this", "probability": 0.9443359375}, {"start": 3088.11, "end": 3088.37, "word": " one?", "probability": 0.91650390625}, {"start": 3094.57, "end": 3095.21, "word": " 90.", "probability": 0.80712890625}, {"start": 3095.67, "end": 3095.99, "word": " So", "probability": 0.857421875}, {"start": 3095.99, "end": 3096.59, "word": " the", "probability": 0.67724609375}, {"start": 3096.59, "end": 3096.97, "word": " margin", "probability": 0.939453125}, {"start": 3096.97, "end": 3097.29, "word": " of", "probability": 0.96337890625}, {"start": 3097.29, "end": 3097.53, "word": " error", "probability": 0.68359375}, {"start": 3097.53, "end": 3098.41, "word": " is", "probability": 0.9404296875}, {"start": 3098.41, "end": 3098.89, "word": " 90.", "probability": 0.966796875}, {"start": 3099.51, "end": 3099.75, "word": " So", "probability": 0.89697265625}, {"start": 3099.75, "end": 3099.95, "word": " E", "probability": 0.76416015625}, {"start": 3099.95, "end": 3100.33, "word": " equals", "probability": 0.79345703125}, {"start": 3100.33, "end": 3100.61, "word": " E.", "probability": 0.51171875}, {"start": 3101.07, "end": 3101.71, "word": " Sigma", "probability": 0.88916015625}, {"start": 3101.71, "end": 3103.09, "word": " or", "probability": 0.55322265625}, {"start": 3103.09, "end": 3103.37, "word": " N", "probability": 0.89404296875}, {"start": 3103.37, "end": 3103.79, "word": " equals?", "probability": 0.84130859375}, {"start": 3107.11, "end": 3107.75, "word": " All", "probability": 0.472900390625}, {"start": 3107.75, "end": 3107.99, "word": " squared.", "probability": 0.49755859375}, {"start": 3109.23, "end": 3109.41, "word": " So", "probability": 0.3828125}, {"start": 3109.41, "end": 3109.55, "word": " by", "probability": 0.86572265625}, {"start": 3109.55, "end": 3109.75, "word": " using", "probability": 0.923828125}, {"start": 3109.75, "end": 3109.95, "word": " this", "probability": 0.93603515625}, {"start": 3109.95, "end": 3110.33, "word": " equation", "probability": 0.96044921875}, {"start": 3110.33, "end": 3110.49, "word": " you", "probability": 0.517578125}, {"start": 3110.49, "end": 3110.61, "word": " can", "probability": 0.927734375}, {"start": 3110.61, "end": 3110.81, "word": " get", "probability": 0.9443359375}, {"start": 3110.81, "end": 3110.99, "word": " your", "probability": 0.861328125}, {"start": 3110.99, "end": 3111.23, "word": " result.", "probability": 0.92724609375}], "temperature": 1.0}, {"id": 109, "seek": 313002, "start": 3112.1, "end": 3130.02, "text": " So, N is 25, Z is unknown, Sigma is 150, R is 90. This one squared. You will get the same Z-score. Make sense?", "tokens": [407, 11, 426, 307, 3552, 11, 1176, 307, 9841, 11, 36595, 307, 8451, 11, 497, 307, 4289, 13, 639, 472, 8889, 13, 509, 486, 483, 264, 912, 1176, 12, 4417, 418, 13, 4387, 2020, 30], "avg_logprob": -0.28927949981557, "compression_ratio": 1.088235294117647, "no_speech_prob": 0.0, "words": [{"start": 3112.1, "end": 3112.42, "word": " So,", "probability": 0.69775390625}, {"start": 3112.6, "end": 3112.64, "word": " N", "probability": 0.468505859375}, {"start": 3112.64, "end": 3112.78, "word": " is", "probability": 0.66650390625}, {"start": 3112.78, "end": 3113.44, "word": " 25,", "probability": 0.82177734375}, {"start": 3115.02, "end": 3115.24, "word": " Z", "probability": 0.8447265625}, {"start": 3115.24, "end": 3115.44, "word": " is", "probability": 0.95068359375}, {"start": 3115.44, "end": 3115.82, "word": " unknown,", "probability": 0.83203125}, {"start": 3116.16, "end": 3116.46, "word": " Sigma", "probability": 0.495849609375}, {"start": 3116.46, "end": 3116.86, "word": " is", "probability": 0.943359375}, {"start": 3116.86, "end": 3118.68, "word": " 150,", "probability": 0.8798828125}, {"start": 3119.32, "end": 3119.68, "word": " R", "probability": 0.41064453125}, {"start": 3119.68, "end": 3119.86, "word": " is", "probability": 0.83544921875}, {"start": 3119.86, "end": 3120.28, "word": " 90.", "probability": 0.97607421875}, {"start": 3121.32, "end": 3121.66, "word": " This", "probability": 0.81640625}, {"start": 3121.66, "end": 3121.92, "word": " one", "probability": 0.8798828125}, {"start": 3121.92, "end": 3122.4, "word": " squared.", "probability": 0.4619140625}, {"start": 3122.92, "end": 3123.06, "word": " You", "probability": 0.560546875}, {"start": 3123.06, "end": 3123.22, "word": " will", "probability": 0.87353515625}, {"start": 3123.22, "end": 3123.66, "word": " get", "probability": 0.9345703125}, {"start": 3123.66, "end": 3125.52, "word": " the", "probability": 0.751953125}, {"start": 3125.52, "end": 3125.9, "word": " same", "probability": 0.904296875}, {"start": 3125.9, "end": 3126.78, "word": " Z", "probability": 0.81103515625}, {"start": 3126.78, "end": 3127.16, "word": "-score.", "probability": 0.648193359375}, {"start": 3128.9, "end": 3129.66, "word": " Make", "probability": 0.72998046875}, {"start": 3129.66, "end": 3130.02, "word": " sense?", "probability": 0.82568359375}], "temperature": 1.0}, {"id": 110, "seek": 316637, "start": 3137.77, "end": 3166.37, "text": " Because if you take z to be three times one-fifth divided by nine squared, you will get the same result for z value. So both will give the same result. So that's for the multiple choice problems. Any question? Let's move to the section number two, true or false problems.", "tokens": [1436, 498, 291, 747, 710, 281, 312, 1045, 1413, 472, 12, 69, 351, 392, 6666, 538, 4949, 8889, 11, 291, 486, 483, 264, 912, 1874, 337, 710, 2158, 13, 407, 1293, 486, 976, 264, 912, 1874, 13, 407, 300, 311, 337, 264, 3866, 3922, 2740, 13, 2639, 1168, 30, 961, 311, 1286, 281, 264, 3541, 1230, 732, 11, 2074, 420, 7908, 2740, 13], "avg_logprob": -0.177734371740371, "compression_ratio": 1.5195530726256983, "no_speech_prob": 0.0, "words": [{"start": 3137.77, "end": 3138.09, "word": " Because", "probability": 0.70556640625}, {"start": 3138.09, "end": 3138.27, "word": " if", "probability": 0.92578125}, {"start": 3138.27, "end": 3138.41, "word": " you", "probability": 0.9541015625}, {"start": 3138.41, "end": 3138.85, "word": " take", "probability": 0.87109375}, {"start": 3138.85, "end": 3139.39, "word": " z", "probability": 0.61767578125}, {"start": 3139.39, "end": 3139.55, "word": " to", "probability": 0.94189453125}, {"start": 3139.55, "end": 3139.67, "word": " be", "probability": 0.9443359375}, {"start": 3139.67, "end": 3140.05, "word": " three", "probability": 0.56591796875}, {"start": 3140.05, "end": 3141.31, "word": " times", "probability": 0.8291015625}, {"start": 3141.31, "end": 3141.55, "word": " one", "probability": 0.71533203125}, {"start": 3141.55, "end": 3141.81, "word": "-fifth", "probability": 0.849365234375}, {"start": 3141.81, "end": 3142.11, "word": " divided", "probability": 0.5849609375}, {"start": 3142.11, "end": 3142.29, "word": " by", "probability": 0.9677734375}, {"start": 3142.29, "end": 3142.55, "word": " nine", "probability": 0.75927734375}, {"start": 3142.55, "end": 3142.93, "word": " squared,", "probability": 0.8642578125}, {"start": 3143.55, "end": 3143.77, "word": " you", "probability": 0.94970703125}, {"start": 3143.77, "end": 3143.93, "word": " will", "probability": 0.89306640625}, {"start": 3143.93, "end": 3144.23, "word": " get", "probability": 0.94287109375}, {"start": 3144.23, "end": 3144.91, "word": " the", "probability": 0.9169921875}, {"start": 3144.91, "end": 3145.15, "word": " same", "probability": 0.89453125}, {"start": 3145.15, "end": 3145.53, "word": " result", "probability": 0.93896484375}, {"start": 3145.53, "end": 3146.87, "word": " for", "probability": 0.7783203125}, {"start": 3146.87, "end": 3147.83, "word": " z", "probability": 0.8466796875}, {"start": 3147.83, "end": 3148.03, "word": " value.", "probability": 0.4443359375}, {"start": 3148.31, "end": 3148.51, "word": " So", "probability": 0.9541015625}, {"start": 3148.51, "end": 3148.83, "word": " both", "probability": 0.81396484375}, {"start": 3148.83, "end": 3149.13, "word": " will", "probability": 0.364501953125}, {"start": 3149.13, "end": 3149.67, "word": " give", "probability": 0.82421875}, {"start": 3149.67, "end": 3150.57, "word": " the", "probability": 0.896484375}, {"start": 3150.57, "end": 3150.79, "word": " same", "probability": 0.90234375}, {"start": 3150.79, "end": 3151.11, "word": " result.", "probability": 0.935546875}, {"start": 3152.19, "end": 3152.49, "word": " So", "probability": 0.9423828125}, {"start": 3152.49, "end": 3152.77, "word": " that's", "probability": 0.936279296875}, {"start": 3152.77, "end": 3153.05, "word": " for", "probability": 0.93359375}, {"start": 3153.05, "end": 3154.81, "word": " the", "probability": 0.896484375}, {"start": 3154.81, "end": 3155.13, "word": " multiple", "probability": 0.9619140625}, {"start": 3155.13, "end": 3155.79, "word": " choice", "probability": 0.77197265625}, {"start": 3155.79, "end": 3157.05, "word": " problems.", "probability": 0.822265625}, {"start": 3158.39, "end": 3158.95, "word": " Any", "probability": 0.8251953125}, {"start": 3158.95, "end": 3159.31, "word": " question?", "probability": 0.5595703125}, {"start": 3160.53, "end": 3161.11, "word": " Let's", "probability": 0.97705078125}, {"start": 3161.11, "end": 3161.49, "word": " move", "probability": 0.94677734375}, {"start": 3161.49, "end": 3161.87, "word": " to", "probability": 0.90771484375}, {"start": 3161.87, "end": 3162.07, "word": " the", "probability": 0.75830078125}, {"start": 3162.07, "end": 3162.43, "word": " section", "probability": 0.88232421875}, {"start": 3162.43, "end": 3162.71, "word": " number", "probability": 0.92333984375}, {"start": 3162.71, "end": 3163.03, "word": " two,", "probability": 0.8916015625}, {"start": 3163.17, "end": 3163.43, "word": " true", "probability": 0.78955078125}, {"start": 3163.43, "end": 3163.77, "word": " or", "probability": 0.9609375}, {"start": 3163.77, "end": 3164.27, "word": " false", "probability": 0.912109375}, {"start": 3164.27, "end": 3166.37, "word": " problems.", "probability": 0.79833984375}], "temperature": 1.0}, {"id": 111, "seek": 319479, "start": 3167.81, "end": 3194.79, "text": " Number one, a race car driver tested his car for time from 0 to 60 mileage per hour. And in 20 tests, obtained an average of 4.85 seconds, with some deviation of 1.47 seconds.", "tokens": [5118, 472, 11, 257, 4569, 1032, 6787, 8246, 702, 1032, 337, 565, 490, 1958, 281, 4060, 43121, 680, 1773, 13, 400, 294, 945, 6921, 11, 14879, 364, 4274, 295, 1017, 13, 19287, 3949, 11, 365, 512, 25163, 295, 502, 13, 14060, 3949, 13], "avg_logprob": -0.27539062161337247, "compression_ratio": 1.3134328358208955, "no_speech_prob": 0.0, "words": [{"start": 3167.81, "end": 3168.47, "word": " Number", "probability": 0.72216796875}, {"start": 3168.47, "end": 3168.79, "word": " one,", "probability": 0.77734375}, {"start": 3171.85, "end": 3172.01, "word": " a", "probability": 0.79541015625}, {"start": 3172.01, "end": 3172.23, "word": " race", "probability": 0.947265625}, {"start": 3172.23, "end": 3172.55, "word": " car", "probability": 0.8681640625}, {"start": 3172.55, "end": 3177.95, "word": " driver", "probability": 0.580078125}, {"start": 3177.95, "end": 3178.43, "word": " tested", "probability": 0.84375}, {"start": 3178.43, "end": 3178.65, "word": " his", "probability": 0.8095703125}, {"start": 3178.65, "end": 3178.93, "word": " car", "probability": 0.9423828125}, {"start": 3178.93, "end": 3179.47, "word": " for", "probability": 0.90966796875}, {"start": 3179.47, "end": 3180.61, "word": " time", "probability": 0.779296875}, {"start": 3180.61, "end": 3180.93, "word": " from", "probability": 0.890625}, {"start": 3180.93, "end": 3181.35, "word": " 0", "probability": 0.30419921875}, {"start": 3181.35, "end": 3181.65, "word": " to", "probability": 0.92431640625}, {"start": 3181.65, "end": 3182.05, "word": " 60", "probability": 0.947265625}, {"start": 3182.05, "end": 3183.45, "word": " mileage", "probability": 0.279052734375}, {"start": 3183.45, "end": 3183.67, "word": " per", "probability": 0.7431640625}, {"start": 3183.67, "end": 3183.97, "word": " hour.", "probability": 0.94970703125}, {"start": 3185.47, "end": 3185.93, "word": " And", "probability": 0.91552734375}, {"start": 3185.93, "end": 3186.21, "word": " in", "probability": 0.88671875}, {"start": 3186.21, "end": 3186.51, "word": " 20", "probability": 0.422119140625}, {"start": 3186.51, "end": 3186.89, "word": " tests,", "probability": 0.8193359375}, {"start": 3186.95, "end": 3187.45, "word": " obtained", "probability": 0.8515625}, {"start": 3187.45, "end": 3187.75, "word": " an", "probability": 0.9541015625}, {"start": 3187.75, "end": 3188.15, "word": " average", "probability": 0.787109375}, {"start": 3188.15, "end": 3188.47, "word": " of", "probability": 0.96533203125}, {"start": 3188.47, "end": 3188.81, "word": " 4", "probability": 0.9970703125}, {"start": 3188.81, "end": 3189.39, "word": ".85", "probability": 0.994873046875}, {"start": 3189.39, "end": 3190.19, "word": " seconds,", "probability": 0.8056640625}, {"start": 3191.25, "end": 3191.49, "word": " with", "probability": 0.90380859375}, {"start": 3191.49, "end": 3191.73, "word": " some", "probability": 0.414794921875}, {"start": 3191.73, "end": 3192.15, "word": " deviation", "probability": 0.8720703125}, {"start": 3192.15, "end": 3192.49, "word": " of", "probability": 0.96240234375}, {"start": 3192.49, "end": 3192.83, "word": " 1", "probability": 0.98828125}, {"start": 3192.83, "end": 3193.57, "word": ".47", "probability": 0.771240234375}, {"start": 3193.57, "end": 3194.79, "word": " seconds.", "probability": 0.7607421875}], "temperature": 1.0}, {"id": 112, "seek": 322362, "start": 3196.12, "end": 3223.62, "text": " 95 confidence interval for the 0 to 60 time is 4.62 seconds up to 5.18. I think straightforward. Just simple calculation, it will give the right answer. x bar n, so we have to use this equation.", "tokens": [13420, 6687, 15035, 337, 264, 1958, 281, 4060, 565, 307, 1017, 13, 28052, 3949, 493, 281, 1025, 13, 6494, 13, 286, 519, 15325, 13, 1449, 2199, 17108, 11, 309, 486, 976, 264, 558, 1867, 13, 2031, 2159, 297, 11, 370, 321, 362, 281, 764, 341, 5367, 13], "avg_logprob": -0.28759765935440856, "compression_ratio": 1.3175675675675675, "no_speech_prob": 0.0, "words": [{"start": 3196.12, "end": 3196.66, "word": " 95", "probability": 0.63818359375}, {"start": 3196.66, "end": 3197.28, "word": " confidence", "probability": 0.5654296875}, {"start": 3197.28, "end": 3197.92, "word": " interval", "probability": 0.66357421875}, {"start": 3197.92, "end": 3198.46, "word": " for", "probability": 0.80322265625}, {"start": 3198.46, "end": 3199.58, "word": " the", "probability": 0.6962890625}, {"start": 3199.58, "end": 3199.84, "word": " 0", "probability": 0.82373046875}, {"start": 3199.84, "end": 3199.98, "word": " to", "probability": 0.857421875}, {"start": 3199.98, "end": 3200.28, "word": " 60", "probability": 0.85107421875}, {"start": 3200.28, "end": 3200.84, "word": " time", "probability": 0.78466796875}, {"start": 3200.84, "end": 3202.36, "word": " is", "probability": 0.865234375}, {"start": 3202.36, "end": 3202.86, "word": " 4", "probability": 0.9697265625}, {"start": 3202.86, "end": 3203.44, "word": ".62", "probability": 0.92578125}, {"start": 3203.44, "end": 3204.06, "word": " seconds", "probability": 0.74951171875}, {"start": 3204.06, "end": 3204.34, "word": " up", "probability": 0.486083984375}, {"start": 3204.34, "end": 3204.68, "word": " to", "probability": 0.94482421875}, {"start": 3204.68, "end": 3205.56, "word": " 5", "probability": 0.986328125}, {"start": 3205.56, "end": 3206.16, "word": ".18.", "probability": 0.987548828125}, {"start": 3206.5, "end": 3207.1, "word": " I", "probability": 0.92529296875}, {"start": 3207.1, "end": 3207.26, "word": " think", "probability": 0.91650390625}, {"start": 3207.26, "end": 3207.84, "word": " straightforward.", "probability": 0.67529296875}, {"start": 3209.12, "end": 3209.54, "word": " Just", "probability": 0.83447265625}, {"start": 3209.54, "end": 3209.82, "word": " simple", "probability": 0.78173828125}, {"start": 3209.82, "end": 3210.38, "word": " calculation,", "probability": 0.88916015625}, {"start": 3210.62, "end": 3210.68, "word": " it", "probability": 0.58984375}, {"start": 3210.68, "end": 3210.8, "word": " will", "probability": 0.8798828125}, {"start": 3210.8, "end": 3211.12, "word": " give", "probability": 0.8740234375}, {"start": 3211.12, "end": 3212.48, "word": " the", "probability": 0.8916015625}, {"start": 3212.48, "end": 3212.86, "word": " right", "probability": 0.92236328125}, {"start": 3212.86, "end": 3213.44, "word": " answer.", "probability": 0.95361328125}, {"start": 3216.66, "end": 3217.66, "word": " x", "probability": 0.2418212890625}, {"start": 3217.66, "end": 3218.0, "word": " bar", "probability": 0.2568359375}, {"start": 3218.0, "end": 3220.64, "word": " n,", "probability": 0.52587890625}, {"start": 3221.36, "end": 3221.6, "word": " so", "probability": 0.67578125}, {"start": 3221.6, "end": 3221.96, "word": " we", "probability": 0.8896484375}, {"start": 3221.96, "end": 3222.16, "word": " have", "probability": 0.8984375}, {"start": 3222.16, "end": 3222.32, "word": " to", "probability": 0.94775390625}, {"start": 3222.32, "end": 3222.54, "word": " use", "probability": 0.841796875}, {"start": 3222.54, "end": 3222.88, "word": " this", "probability": 0.94775390625}, {"start": 3222.88, "end": 3223.62, "word": " equation.", "probability": 0.9228515625}], "temperature": 1.0}, {"id": 113, "seek": 325518, "start": 3228.22, "end": 3255.18, "text": " You can do it. So it says the answer is false. You have to check this result. So it's 4.5 plus or minus T. We have to find T. S is given to be 147 divided by root 20. Now, to find T, we have to use 0 to 5 and 19.", "tokens": [509, 393, 360, 309, 13, 407, 309, 1619, 264, 1867, 307, 7908, 13, 509, 362, 281, 1520, 341, 1874, 13, 407, 309, 311, 1017, 13, 20, 1804, 420, 3175, 314, 13, 492, 362, 281, 915, 314, 13, 318, 307, 2212, 281, 312, 3499, 22, 6666, 538, 5593, 945, 13, 823, 11, 281, 915, 314, 11, 321, 362, 281, 764, 1958, 281, 1025, 293, 1294, 13], "avg_logprob": -0.19625946992274487, "compression_ratio": 1.4013157894736843, "no_speech_prob": 0.0, "words": [{"start": 3228.22, "end": 3228.42, "word": " You", "probability": 0.6181640625}, {"start": 3228.42, "end": 3228.62, "word": " can", "probability": 0.9384765625}, {"start": 3228.62, "end": 3228.8, "word": " do", "probability": 0.9501953125}, {"start": 3228.8, "end": 3229.18, "word": " it.", "probability": 0.951171875}, {"start": 3230.46, "end": 3231.02, "word": " So", "probability": 0.81005859375}, {"start": 3231.02, "end": 3231.62, "word": " it", "probability": 0.25146484375}, {"start": 3231.62, "end": 3231.88, "word": " says", "probability": 0.71337890625}, {"start": 3231.88, "end": 3232.04, "word": " the", "probability": 0.408447265625}, {"start": 3232.04, "end": 3232.24, "word": " answer", "probability": 0.96240234375}, {"start": 3232.24, "end": 3232.5, "word": " is", "probability": 0.9326171875}, {"start": 3232.5, "end": 3232.84, "word": " false.", "probability": 0.448974609375}, {"start": 3233.84, "end": 3234.02, "word": " You", "probability": 0.75537109375}, {"start": 3234.02, "end": 3234.2, "word": " have", "probability": 0.9248046875}, {"start": 3234.2, "end": 3234.32, "word": " to", "probability": 0.966796875}, {"start": 3234.32, "end": 3234.66, "word": " check", "probability": 0.94091796875}, {"start": 3234.66, "end": 3235.08, "word": " this", "probability": 0.76904296875}, {"start": 3235.08, "end": 3235.42, "word": " result.", "probability": 0.88916015625}, {"start": 3235.56, "end": 3235.72, "word": " So", "probability": 0.94580078125}, {"start": 3235.72, "end": 3235.92, "word": " it's", "probability": 0.900390625}, {"start": 3235.92, "end": 3236.24, "word": " 4", "probability": 0.705078125}, {"start": 3236.24, "end": 3237.66, "word": ".5", "probability": 0.42803955078125}, {"start": 3237.66, "end": 3238.16, "word": " plus", "probability": 0.90576171875}, {"start": 3238.16, "end": 3238.34, "word": " or", "probability": 0.9501953125}, {"start": 3238.34, "end": 3238.62, "word": " minus", "probability": 0.98828125}, {"start": 3238.62, "end": 3238.92, "word": " T.", "probability": 0.59130859375}, {"start": 3239.0, "end": 3239.08, "word": " We", "probability": 0.8291015625}, {"start": 3239.08, "end": 3239.26, "word": " have", "probability": 0.94482421875}, {"start": 3239.26, "end": 3239.38, "word": " to", "probability": 0.95751953125}, {"start": 3239.38, "end": 3239.56, "word": " find", "probability": 0.90185546875}, {"start": 3239.56, "end": 3239.84, "word": " T.", "probability": 0.9443359375}, {"start": 3240.72, "end": 3241.02, "word": " S", "probability": 0.93701171875}, {"start": 3241.02, "end": 3241.2, "word": " is", "probability": 0.9482421875}, {"start": 3241.2, "end": 3241.5, "word": " given", "probability": 0.8984375}, {"start": 3241.5, "end": 3242.36, "word": " to", "probability": 0.96533203125}, {"start": 3242.36, "end": 3242.54, "word": " be", "probability": 0.9541015625}, {"start": 3242.54, "end": 3243.46, "word": " 147", "probability": 0.86474609375}, {"start": 3243.46, "end": 3244.84, "word": " divided", "probability": 0.60986328125}, {"start": 3244.84, "end": 3245.08, "word": " by", "probability": 0.970703125}, {"start": 3245.08, "end": 3245.3, "word": " root", "probability": 0.8759765625}, {"start": 3245.3, "end": 3245.62, "word": " 20.", "probability": 0.9384765625}, {"start": 3246.58, "end": 3246.96, "word": " Now,", "probability": 0.95458984375}, {"start": 3247.24, "end": 3247.38, "word": " to", "probability": 0.96044921875}, {"start": 3247.38, "end": 3247.62, "word": " find", "probability": 0.89453125}, {"start": 3247.62, "end": 3248.02, "word": " T,", "probability": 0.99658203125}, {"start": 3249.18, "end": 3249.4, "word": " we", "probability": 0.9482421875}, {"start": 3249.4, "end": 3249.6, "word": " have", "probability": 0.94921875}, {"start": 3249.6, "end": 3249.74, "word": " to", "probability": 0.96435546875}, {"start": 3249.74, "end": 3250.12, "word": " use", "probability": 0.8740234375}, {"start": 3250.12, "end": 3252.7, "word": " 0", "probability": 0.9130859375}, {"start": 3252.7, "end": 3252.84, "word": " to", "probability": 0.84814453125}, {"start": 3252.84, "end": 3253.26, "word": " 5", "probability": 0.99267578125}, {"start": 3253.26, "end": 3254.76, "word": " and", "probability": 0.83154296875}, {"start": 3254.76, "end": 3255.18, "word": " 19.", "probability": 0.96337890625}], "temperature": 1.0}, {"id": 114, "seek": 328372, "start": 3256.2, "end": 3283.72, "text": " By this value here, you'll get the exact answer. Part number two. Given a sample mean of 2.1. So x bar is 2.1. Excuse me? Because n is small. Now, this sample,", "tokens": [3146, 341, 2158, 510, 11, 291, 603, 483, 264, 1900, 1867, 13, 4100, 1230, 732, 13, 18600, 257, 6889, 914, 295, 568, 13, 16, 13, 407, 2031, 2159, 307, 568, 13, 16, 13, 11359, 385, 30, 1436, 297, 307, 1359, 13, 823, 11, 341, 6889, 11], "avg_logprob": -0.3138297999158819, "compression_ratio": 1.2213740458015268, "no_speech_prob": 0.0, "words": [{"start": 3256.2, "end": 3256.52, "word": " By", "probability": 0.181396484375}, {"start": 3256.52, "end": 3256.76, "word": " this", "probability": 0.9169921875}, {"start": 3256.76, "end": 3257.02, "word": " value", "probability": 0.927734375}, {"start": 3257.02, "end": 3257.32, "word": " here,", "probability": 0.78466796875}, {"start": 3257.36, "end": 3257.56, "word": " you'll", "probability": 0.44140625}, {"start": 3257.56, "end": 3257.82, "word": " get", "probability": 0.94091796875}, {"start": 3257.82, "end": 3258.48, "word": " the", "probability": 0.81201171875}, {"start": 3258.48, "end": 3258.86, "word": " exact", "probability": 0.9365234375}, {"start": 3258.86, "end": 3259.32, "word": " answer.", "probability": 0.95556640625}, {"start": 3260.54, "end": 3261.3, "word": " Part", "probability": 0.5390625}, {"start": 3261.3, "end": 3261.84, "word": " number", "probability": 0.73583984375}, {"start": 3261.84, "end": 3262.16, "word": " two.", "probability": 0.50390625}, {"start": 3264.98, "end": 3265.48, "word": " Given", "probability": 0.53955078125}, {"start": 3265.48, "end": 3265.74, "word": " a", "probability": 0.9794921875}, {"start": 3265.74, "end": 3266.02, "word": " sample", "probability": 0.890625}, {"start": 3266.02, "end": 3266.42, "word": " mean", "probability": 0.9462890625}, {"start": 3266.42, "end": 3267.2, "word": " of", "probability": 0.96875}, {"start": 3267.2, "end": 3267.42, "word": " 2", "probability": 0.9296875}, {"start": 3267.42, "end": 3267.96, "word": ".1.", "probability": 0.9873046875}, {"start": 3269.98, "end": 3270.48, "word": " So", "probability": 0.77392578125}, {"start": 3270.48, "end": 3270.72, "word": " x", "probability": 0.7060546875}, {"start": 3270.72, "end": 3271.02, "word": " bar", "probability": 0.265869140625}, {"start": 3271.02, "end": 3271.72, "word": " is", "probability": 0.346923828125}, {"start": 3271.72, "end": 3271.92, "word": " 2", "probability": 0.9833984375}, {"start": 3271.92, "end": 3272.38, "word": ".1.", "probability": 0.997314453125}, {"start": 3273.68, "end": 3274.44, "word": " Excuse", "probability": 0.689453125}, {"start": 3274.44, "end": 3274.68, "word": " me?", "probability": 0.96240234375}, {"start": 3278.5, "end": 3279.26, "word": " Because", "probability": 0.85546875}, {"start": 3279.26, "end": 3279.52, "word": " n", "probability": 0.802734375}, {"start": 3279.52, "end": 3279.7, "word": " is", "probability": 0.953125}, {"start": 3279.7, "end": 3280.1, "word": " small.", "probability": 0.92236328125}, {"start": 3282.3, "end": 3282.74, "word": " Now,", "probability": 0.94873046875}, {"start": 3282.98, "end": 3283.24, "word": " this", "probability": 0.92529296875}, {"start": 3283.24, "end": 3283.72, "word": " sample,", "probability": 0.90576171875}], "temperature": 1.0}, {"id": 115, "seek": 331380, "start": 3285.0, "end": 3313.8, "text": " This sample gives an average of 4.85, and standard deviation based on this sample. So S, so X bar, 4.85, and S is equal to 1.47. So this is not sigma, because it says that 20 tests, so random sample is 20.", "tokens": [639, 6889, 2709, 364, 4274, 295, 1017, 13, 19287, 11, 293, 3832, 25163, 2361, 322, 341, 6889, 13, 407, 318, 11, 370, 1783, 2159, 11, 1017, 13, 19287, 11, 293, 318, 307, 2681, 281, 502, 13, 14060, 13, 407, 341, 307, 406, 12771, 11, 570, 309, 1619, 300, 945, 6921, 11, 370, 4974, 6889, 307, 945, 13], "avg_logprob": -0.2248114288367074, "compression_ratio": 1.4206896551724137, "no_speech_prob": 0.0, "words": [{"start": 3285.0, "end": 3285.42, "word": " This", "probability": 0.53955078125}, {"start": 3285.42, "end": 3285.92, "word": " sample", "probability": 0.794921875}, {"start": 3285.92, "end": 3287.44, "word": " gives", "probability": 0.7421875}, {"start": 3287.44, "end": 3287.72, "word": " an", "probability": 0.92431640625}, {"start": 3287.72, "end": 3288.12, "word": " average", "probability": 0.798828125}, {"start": 3288.12, "end": 3288.66, "word": " of", "probability": 0.96630859375}, {"start": 3288.66, "end": 3289.6, "word": " 4", "probability": 0.9658203125}, {"start": 3289.6, "end": 3290.1, "word": ".85,", "probability": 0.992431640625}, {"start": 3290.88, "end": 3291.2, "word": " and", "probability": 0.921875}, {"start": 3291.2, "end": 3291.64, "word": " standard", "probability": 0.69140625}, {"start": 3291.64, "end": 3292.22, "word": " deviation", "probability": 0.8984375}, {"start": 3292.22, "end": 3293.72, "word": " based", "probability": 0.7939453125}, {"start": 3293.72, "end": 3293.94, "word": " on", "probability": 0.947265625}, {"start": 3293.94, "end": 3294.2, "word": " this", "probability": 0.93896484375}, {"start": 3294.2, "end": 3294.52, "word": " sample.", "probability": 0.87890625}, {"start": 3295.12, "end": 3295.32, "word": " So", "probability": 0.95068359375}, {"start": 3295.32, "end": 3295.8, "word": " S,", "probability": 0.421875}, {"start": 3296.58, "end": 3298.62, "word": " so", "probability": 0.87060546875}, {"start": 3298.62, "end": 3298.88, "word": " X", "probability": 0.5400390625}, {"start": 3298.88, "end": 3299.18, "word": " bar,", "probability": 0.853515625}, {"start": 3299.82, "end": 3300.26, "word": " 4", "probability": 0.8056640625}, {"start": 3300.26, "end": 3300.52, "word": ".85,", "probability": 0.9189453125}, {"start": 3301.18, "end": 3302.06, "word": " and", "probability": 0.93505859375}, {"start": 3302.06, "end": 3302.42, "word": " S", "probability": 0.98193359375}, {"start": 3302.42, "end": 3302.74, "word": " is", "probability": 0.92333984375}, {"start": 3302.74, "end": 3303.14, "word": " equal", "probability": 0.89501953125}, {"start": 3303.14, "end": 3303.46, "word": " to", "probability": 0.96337890625}, {"start": 3303.46, "end": 3303.66, "word": " 1", "probability": 0.9853515625}, {"start": 3303.66, "end": 3304.18, "word": ".47.", "probability": 0.82080078125}, {"start": 3305.48, "end": 3306.28, "word": " So", "probability": 0.95849609375}, {"start": 3306.28, "end": 3306.46, "word": " this", "probability": 0.76611328125}, {"start": 3306.46, "end": 3306.56, "word": " is", "probability": 0.92041015625}, {"start": 3306.56, "end": 3306.72, "word": " not", "probability": 0.93896484375}, {"start": 3306.72, "end": 3307.02, "word": " sigma,", "probability": 0.82177734375}, {"start": 3308.78, "end": 3309.5, "word": " because", "probability": 0.8984375}, {"start": 3309.5, "end": 3309.64, "word": " it", "probability": 0.90771484375}, {"start": 3309.64, "end": 3309.88, "word": " says", "probability": 0.88037109375}, {"start": 3309.88, "end": 3310.22, "word": " that", "probability": 0.896484375}, {"start": 3310.22, "end": 3311.22, "word": " 20", "probability": 0.533203125}, {"start": 3311.22, "end": 3311.82, "word": " tests,", "probability": 0.8603515625}, {"start": 3312.28, "end": 3312.52, "word": " so", "probability": 0.939453125}, {"start": 3312.52, "end": 3312.88, "word": " random", "probability": 0.31982421875}, {"start": 3312.88, "end": 3313.22, "word": " sample", "probability": 0.91162109375}, {"start": 3313.22, "end": 3313.42, "word": " is", "probability": 0.93994140625}, {"start": 3313.42, "end": 3313.8, "word": " 20.", "probability": 0.95849609375}], "temperature": 1.0}, {"id": 116, "seek": 334363, "start": 3314.79, "end": 3343.63, "text": " This sample gives an average of this amount and standard deviation of this amount. We are looking for the continence interval, and we have two cases. First case, if sigma is known,", "tokens": [639, 6889, 2709, 364, 4274, 295, 341, 2372, 293, 3832, 25163, 295, 341, 2372, 13, 492, 366, 1237, 337, 264, 1421, 655, 15035, 11, 293, 321, 362, 732, 3331, 13, 2386, 1389, 11, 498, 12771, 307, 2570, 11], "avg_logprob": -0.19260817154859886, "compression_ratio": 1.4031007751937985, "no_speech_prob": 0.0, "words": [{"start": 3314.79, "end": 3315.21, "word": " This", "probability": 0.6689453125}, {"start": 3315.21, "end": 3315.55, "word": " sample", "probability": 0.83154296875}, {"start": 3315.55, "end": 3315.89, "word": " gives", "probability": 0.9033203125}, {"start": 3315.89, "end": 3316.13, "word": " an", "probability": 0.89404296875}, {"start": 3316.13, "end": 3316.49, "word": " average", "probability": 0.77978515625}, {"start": 3316.49, "end": 3316.93, "word": " of", "probability": 0.96484375}, {"start": 3316.93, "end": 3317.55, "word": " this", "probability": 0.9306640625}, {"start": 3317.55, "end": 3318.03, "word": " amount", "probability": 0.90771484375}, {"start": 3318.03, "end": 3319.39, "word": " and", "probability": 0.78076171875}, {"start": 3319.39, "end": 3319.89, "word": " standard", "probability": 0.81396484375}, {"start": 3319.89, "end": 3320.35, "word": " deviation", "probability": 0.91552734375}, {"start": 3320.35, "end": 3320.73, "word": " of", "probability": 0.96435546875}, {"start": 3320.73, "end": 3320.95, "word": " this", "probability": 0.9345703125}, {"start": 3320.95, "end": 3321.35, "word": " amount.", "probability": 0.89599609375}, {"start": 3329.71, "end": 3330.31, "word": " We", "probability": 0.87158203125}, {"start": 3330.31, "end": 3330.45, "word": " are", "probability": 0.8984375}, {"start": 3330.45, "end": 3330.71, "word": " looking", "probability": 0.9072265625}, {"start": 3330.71, "end": 3331.23, "word": " for", "probability": 0.95263671875}, {"start": 3331.23, "end": 3334.61, "word": " the", "probability": 0.86083984375}, {"start": 3334.61, "end": 3335.13, "word": " continence", "probability": 0.775634765625}, {"start": 3335.13, "end": 3335.59, "word": " interval,", "probability": 0.95458984375}, {"start": 3337.07, "end": 3337.33, "word": " and", "probability": 0.9140625}, {"start": 3337.33, "end": 3337.49, "word": " we", "probability": 0.9560546875}, {"start": 3337.49, "end": 3337.87, "word": " have", "probability": 0.94970703125}, {"start": 3337.87, "end": 3338.15, "word": " two", "probability": 0.85302734375}, {"start": 3338.15, "end": 3338.63, "word": " cases.", "probability": 0.89892578125}, {"start": 3339.97, "end": 3340.47, "word": " First", "probability": 0.81494140625}, {"start": 3340.47, "end": 3340.87, "word": " case,", "probability": 0.91845703125}, {"start": 3342.59, "end": 3342.85, "word": " if", "probability": 0.94873046875}, {"start": 3342.85, "end": 3343.15, "word": " sigma", "probability": 0.74951171875}, {"start": 3343.15, "end": 3343.39, "word": " is", "probability": 0.9404296875}, {"start": 3343.39, "end": 3343.63, "word": " known,", "probability": 0.40966796875}], "temperature": 1.0}, {"id": 117, "seek": 337640, "start": 3347.22, "end": 3376.4, "text": " Sigma is unknown. Now for this example, sigma is unknown. So since sigma is unknown, we have to use T distribution if the distribution is normal or if N is large enough. Now for this example, N is 20. 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So we have to use t. So my confidence interval should be x bar plus or minus 3s over root n. Now, number two. Given a sample mean of 2.1 and a population standard deviation. I mentioned that population standard deviation is given. So sigma is 0.7. 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Now, from a sample of 10 data points, we are looking for 90% confidence interval. 90% confidence interval will have a width of 2.36.", "tokens": [407, 294, 644, 732, 11, 12771, 307, 2212, 13, 823, 11, 490, 257, 6889, 295, 1266, 1412, 2793, 11, 321, 366, 1237, 337, 4289, 4, 6687, 15035, 13, 4289, 4, 6687, 15035, 486, 362, 257, 11402, 295, 568, 13, 11309, 13], "avg_logprob": -0.23251487740448543, "compression_ratio": 1.3306451612903225, "no_speech_prob": 0.0, "words": [{"start": 3405.37, "end": 3405.75, "word": " So", "probability": 0.261962890625}, {"start": 3405.75, "end": 3406.09, "word": " in", "probability": 0.268798828125}, {"start": 3406.09, "end": 3406.29, "word": " part", "probability": 0.7666015625}, {"start": 3406.29, "end": 3406.59, "word": " two,", "probability": 0.4609375}, {"start": 3406.83, "end": 3407.01, "word": " sigma", "probability": 0.5634765625}, {"start": 3407.01, "end": 3407.17, "word": " is", "probability": 0.9130859375}, {"start": 3407.17, "end": 3407.33, "word": " given.", "probability": 0.88916015625}, {"start": 3408.27, "end": 3408.93, "word": " Now,", "probability": 0.8251953125}, {"start": 3408.99, "end": 3409.17, "word": " from", "probability": 0.8818359375}, {"start": 3409.17, "end": 3409.35, "word": " a", "probability": 0.9765625}, {"start": 3409.35, "end": 3409.57, "word": " sample", "probability": 0.85986328125}, {"start": 3409.57, "end": 3409.79, "word": " of", "probability": 0.97021484375}, {"start": 3409.79, "end": 3410.13, "word": " 10", "probability": 0.708984375}, {"start": 3410.13, "end": 3410.57, "word": " data", "probability": 0.94775390625}, {"start": 3410.57, "end": 3410.89, "word": " points,", "probability": 0.9013671875}, {"start": 3413.73, "end": 3414.03, "word": " we", "probability": 0.93701171875}, {"start": 3414.03, "end": 3414.15, "word": " are", "probability": 0.91162109375}, {"start": 3414.15, "end": 3414.39, "word": " looking", "probability": 0.92236328125}, {"start": 3414.39, "end": 3414.61, "word": " for", "probability": 0.94140625}, {"start": 3414.61, "end": 3414.91, "word": " 90", "probability": 0.9013671875}, {"start": 3414.91, "end": 3415.19, "word": "%", "probability": 0.83056640625}, {"start": 3415.19, "end": 3415.71, "word": " confidence", "probability": 0.96435546875}, {"start": 3415.71, "end": 3416.19, "word": " interval.", "probability": 0.8583984375}, {"start": 3418.79, "end": 3419.45, "word": " 90", "probability": 0.939453125}, {"start": 3419.45, "end": 3420.07, "word": "%", "probability": 0.99169921875}, {"start": 3420.07, "end": 3422.03, "word": " confidence", "probability": 0.9716796875}, {"start": 3422.03, "end": 3422.57, "word": " interval", "probability": 0.96337890625}, {"start": 3422.57, "end": 3423.15, "word": " will", "probability": 0.83740234375}, {"start": 3423.15, "end": 3423.49, "word": " have", "probability": 0.9423828125}, {"start": 3423.49, "end": 3423.69, "word": " a", "probability": 0.9873046875}, {"start": 3423.69, "end": 3423.95, "word": " width", "probability": 0.96484375}, {"start": 3423.95, "end": 3425.63, "word": " of", "probability": 0.96728515625}, {"start": 3425.63, "end": 3426.49, "word": " 2", "probability": 0.95361328125}, {"start": 3426.49, "end": 3427.23, "word": ".36.", "probability": 0.981201171875}], "temperature": 1.0}, {"id": 120, "seek": 345412, "start": 3436.46, "end": 3454.12, "text": " What is two times the assembling error? So the answer is given. So the error here, error A equals W. So the answer is 1.16.", "tokens": [708, 307, 732, 1413, 264, 43867, 6713, 30, 407, 264, 1867, 307, 2212, 13, 407, 264, 6713, 510, 11, 6713, 316, 6915, 343, 13, 407, 264, 1867, 307, 502, 13, 6866, 13], "avg_logprob": -0.2821969696969697, "compression_ratio": 1.3333333333333333, "no_speech_prob": 0.0, "words": [{"start": 3436.46, "end": 3436.9, "word": " What", "probability": 0.1990966796875}, {"start": 3436.9, "end": 3437.16, "word": " is", "probability": 0.880859375}, {"start": 3437.16, "end": 3437.56, "word": " two", "probability": 0.64111328125}, {"start": 3437.56, "end": 3437.92, "word": " times", "probability": 0.92529296875}, {"start": 3437.92, "end": 3438.36, "word": " the", "probability": 0.8798828125}, {"start": 3438.36, "end": 3438.88, "word": " assembling", "probability": 0.40380859375}, {"start": 3438.88, "end": 3439.18, "word": " error?", "probability": 0.89111328125}, {"start": 3442.5, "end": 3442.86, "word": " So", "probability": 0.65576171875}, {"start": 3442.86, "end": 3442.98, "word": " the", "probability": 0.357177734375}, {"start": 3442.98, "end": 3443.16, "word": " answer", "probability": 0.8408203125}, {"start": 3443.16, "end": 3443.32, "word": " is", "probability": 0.76708984375}, {"start": 3443.32, "end": 3443.5, "word": " given.", "probability": 0.89501953125}, {"start": 3445.32, "end": 3446.04, "word": " So", "probability": 0.912109375}, {"start": 3446.04, "end": 3446.28, "word": " the", "probability": 0.7265625}, {"start": 3446.28, "end": 3446.5, "word": " error", "probability": 0.86767578125}, {"start": 3446.5, "end": 3446.84, "word": " here,", "probability": 0.62158203125}, {"start": 3447.48, "end": 3447.78, "word": " error", "probability": 0.87451171875}, {"start": 3447.78, "end": 3448.04, "word": " A", "probability": 0.642578125}, {"start": 3448.04, "end": 3448.6, "word": " equals", "probability": 0.78955078125}, {"start": 3448.6, "end": 3450.16, "word": " W.", "probability": 0.408447265625}, {"start": 3452.06, "end": 3452.66, "word": " So", "probability": 0.94384765625}, {"start": 3452.66, "end": 3452.82, "word": " the", "probability": 0.8984375}, {"start": 3452.82, "end": 3453.02, "word": " answer", "probability": 0.96142578125}, {"start": 3453.02, "end": 3453.2, "word": " is", "probability": 0.93896484375}, {"start": 3453.2, "end": 3453.42, "word": " 1", "probability": 0.94677734375}, {"start": 3453.42, "end": 3454.12, "word": ".16.", "probability": 0.990966796875}], "temperature": 1.0}, {"id": 121, "seek": 348866, "start": 3460.52, "end": 3488.66, "text": " So he asked about given a sample, 90% confidence interval will have a width of 2.36. Let's see if the exact width is 2.36 or not. Now we have x bar plus or minus z, sigma 1.8. x bar is 2.1, plus or minus. 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given to be 2.36. So E is 1.18. So that saves time in order to compute the error term. So now 2.1 minus 1.8. 2.1 plus 1.8. That F, the width, is 2.36.", "tokens": [583, 291, 500, 380, 643, 281, 360, 300, 570, 264, 11402, 307, 2212, 281, 312, 568, 13, 11309, 13, 407, 462, 307, 502, 13, 6494, 13, 407, 300, 19155, 565, 294, 1668, 281, 14722, 264, 6713, 1433, 13, 407, 586, 568, 13, 16, 3175, 502, 13, 23, 13, 568, 13, 16, 1804, 502, 13, 23, 13, 663, 479, 11, 264, 11402, 11, 307, 568, 13, 11309, 13], "avg_logprob": -0.1500459499657154, "compression_ratio": 1.4125874125874125, "no_speech_prob": 0.0, "words": [{"start": 3514.01, "end": 3514.31, "word": " But", "probability": 0.818359375}, {"start": 3514.31, "end": 3514.47, "word": " you", "probability": 0.560546875}, {"start": 3514.47, "end": 3514.67, "word": " don't", "probability": 0.974365234375}, {"start": 3514.67, "end": 3514.91, "word": " need", "probability": 0.92578125}, {"start": 3514.91, "end": 3515.07, "word": " to", "probability": 0.96826171875}, {"start": 3515.07, "end": 3515.21, "word": " do", "probability": 0.9521484375}, {"start": 3515.21, "end": 3515.43, "word": " that", "probability": 0.93896484375}, {"start": 3515.43, "end": 3515.77, "word": " because", "probability": 0.61328125}, {"start": 3515.77, "end": 3515.97, "word": " the", "probability": 0.9033203125}, {"start": 3515.97, "end": 3516.19, "word": " width", "probability": 0.96435546875}, {"start": 3516.19, "end": 3516.37, "word": " is", "probability": 0.92236328125}, {"start": 3516.37, "end": 3516.69, "word": " given", "probability": 0.90234375}, {"start": 3516.69, "end": 3517.51, "word": " to", "probability": 0.95654296875}, {"start": 3517.51, "end": 3517.65, "word": " be", "probability": 0.9443359375}, {"start": 3517.65, "end": 3517.83, "word": " 2", "probability": 0.97412109375}, {"start": 3517.83, "end": 3518.41, "word": ".36.", "probability": 0.994384765625}, {"start": 3519.25, "end": 3519.75, "word": " So", "probability": 0.95654296875}, {"start": 3519.75, "end": 3520.11, "word": " E", "probability": 0.63916015625}, {"start": 3520.11, "end": 3520.37, "word": " is", "probability": 0.90966796875}, {"start": 3520.37, "end": 3520.57, "word": " 1", "probability": 0.96826171875}, {"start": 3520.57, "end": 3521.09, "word": ".18.", "probability": 0.9375}, {"start": 3522.79, "end": 3523.39, "word": " So", "probability": 0.9404296875}, {"start": 3523.39, "end": 3523.63, "word": " that", "probability": 0.8603515625}, {"start": 3523.63, "end": 3523.91, "word": " saves", "probability": 0.36376953125}, {"start": 3523.91, "end": 3524.33, "word": " time", "probability": 0.8857421875}, {"start": 3524.33, "end": 3524.57, "word": " in", "probability": 0.78564453125}, {"start": 3524.57, "end": 3524.73, "word": " order", "probability": 0.90185546875}, {"start": 3524.73, "end": 3524.95, "word": " to", "probability": 0.96728515625}, {"start": 3524.95, "end": 3525.43, "word": " compute", "probability": 0.880859375}, {"start": 3525.43, "end": 3526.43, "word": " the", "probability": 0.87939453125}, {"start": 3526.43, "end": 3526.65, "word": " error", "probability": 0.6923828125}, {"start": 3526.65, "end": 3526.99, "word": " term.", "probability": 0.64892578125}, {"start": 3527.23, "end": 3527.39, "word": " So", "probability": 0.95556640625}, {"start": 3527.39, "end": 3527.67, "word": " now", "probability": 0.89404296875}, {"start": 3527.67, "end": 3527.93, "word": " 2", "probability": 0.66796875}, {"start": 3527.93, "end": 3528.45, "word": ".1", "probability": 0.993896484375}, {"start": 3528.45, "end": 3530.59, "word": " minus", "probability": 0.8984375}, {"start": 3530.59, "end": 3530.87, "word": " 1", "probability": 0.98876953125}, {"start": 3530.87, "end": 3531.51, "word": ".8.", "probability": 0.979736328125}, {"start": 3532.59, "end": 3533.07, "word": " 2", "probability": 0.9345703125}, {"start": 3533.07, "end": 3533.67, "word": ".1", "probability": 0.99560546875}, {"start": 3533.67, "end": 3534.49, "word": " plus", "probability": 0.93017578125}, {"start": 3534.49, "end": 3534.79, "word": " 1", "probability": 0.95263671875}, {"start": 3534.79, "end": 3535.19, "word": ".8.", "probability": 0.978271484375}, {"start": 3536.35, "end": 3536.71, "word": " That", "probability": 0.64794921875}, {"start": 3536.71, "end": 3537.03, "word": " F,", "probability": 0.38134765625}, {"start": 3537.15, "end": 3537.29, "word": " the", "probability": 0.91455078125}, {"start": 3537.29, "end": 3537.59, "word": " width,", "probability": 0.95947265625}, {"start": 3537.75, "end": 3538.21, "word": " is", "probability": 0.94580078125}, {"start": 3538.21, "end": 3538.55, "word": " 2", "probability": 0.9990234375}, {"start": 3538.55, "end": 3539.07, "word": ".36.", "probability": 0.998291015625}], "temperature": 1.0}, {"id": 124, "seek": 356823, "start": 3542.01, "end": 3568.23, "text": " that if the width equals this value. 2.36. So I solved the problem if the width. But he asked about, do you know this value? I don't know that one, so we have to compute the exact answer now. So x bar 2.1 plus 1645 sigma", "tokens": [300, 498, 264, 11402, 6915, 341, 2158, 13, 568, 13, 11309, 13, 407, 286, 13041, 264, 1154, 498, 264, 11402, 13, 583, 415, 2351, 466, 11, 360, 291, 458, 341, 2158, 30, 286, 500, 380, 458, 300, 472, 11, 370, 321, 362, 281, 14722, 264, 1900, 1867, 586, 13, 407, 2031, 2159, 568, 13, 16, 1804, 3165, 8465, 12771], "avg_logprob": -0.24049478769302368, "compression_ratio": 1.389937106918239, "no_speech_prob": 0.0, "words": [{"start": 3542.01, "end": 3542.41, "word": " that", "probability": 0.412353515625}, {"start": 3542.41, "end": 3542.73, "word": " if", "probability": 0.84716796875}, {"start": 3542.73, "end": 3542.95, "word": " the", "probability": 0.89697265625}, {"start": 3542.95, "end": 3543.19, "word": " width", "probability": 0.904296875}, {"start": 3543.19, "end": 3543.59, "word": " equals", "probability": 0.74365234375}, {"start": 3543.59, "end": 3543.83, "word": " this", "probability": 0.90966796875}, {"start": 3543.83, "end": 3544.17, "word": " value.", "probability": 0.9404296875}, {"start": 3550.41, "end": 3550.57, "word": " 2", "probability": 0.39111328125}, {"start": 3550.57, "end": 3551.07, "word": ".36.", "probability": 0.980712890625}, {"start": 3551.75, "end": 3552.29, "word": " So", "probability": 0.56884765625}, {"start": 3552.29, "end": 3552.75, "word": " I", "probability": 0.763671875}, {"start": 3552.75, "end": 3553.03, "word": " solved", "probability": 0.60546875}, {"start": 3553.03, "end": 3553.15, "word": " the", "probability": 0.89501953125}, {"start": 3553.15, "end": 3553.45, "word": " problem", "probability": 0.8662109375}, {"start": 3553.45, "end": 3553.85, "word": " if", "probability": 0.474365234375}, {"start": 3553.85, "end": 3554.01, "word": " the", "probability": 0.8720703125}, {"start": 3554.01, "end": 3554.27, "word": " width.", "probability": 0.95751953125}, {"start": 3554.91, "end": 3555.13, "word": " But", "probability": 0.90380859375}, {"start": 3555.13, "end": 3555.27, "word": " he", "probability": 0.8759765625}, {"start": 3555.27, "end": 3555.45, "word": " asked", "probability": 0.67724609375}, {"start": 3555.45, "end": 3555.79, "word": " about,", "probability": 0.865234375}, {"start": 3556.39, "end": 3556.91, "word": " do", "probability": 0.468017578125}, {"start": 3556.91, "end": 3556.99, "word": " you", "probability": 0.9638671875}, {"start": 3556.99, "end": 3557.13, "word": " know", "probability": 0.884765625}, {"start": 3557.13, "end": 3557.35, "word": " this", "probability": 0.8935546875}, {"start": 3557.35, "end": 3557.69, "word": " value?", "probability": 0.974609375}, {"start": 3557.81, "end": 3557.87, "word": " I", "probability": 0.970703125}, {"start": 3557.87, "end": 3558.25, "word": " don't", "probability": 0.975341796875}, {"start": 3558.25, "end": 3558.43, "word": " know", "probability": 0.892578125}, {"start": 3558.43, "end": 3558.63, "word": " that", "probability": 0.93603515625}, {"start": 3558.63, "end": 3558.83, "word": " one,", "probability": 0.912109375}, {"start": 3558.91, "end": 3559.01, "word": " so", "probability": 0.93994140625}, {"start": 3559.01, "end": 3559.17, "word": " we", "probability": 0.93798828125}, {"start": 3559.17, "end": 3559.37, "word": " have", "probability": 0.87060546875}, {"start": 3559.37, "end": 3559.85, "word": " to", "probability": 0.9658203125}, {"start": 3559.85, "end": 3560.27, "word": " compute", "probability": 0.94189453125}, {"start": 3560.27, "end": 3560.47, "word": " the", "probability": 0.892578125}, {"start": 3560.47, "end": 3560.87, "word": " exact", "probability": 0.93212890625}, {"start": 3560.87, "end": 3561.23, "word": " answer", "probability": 0.9482421875}, {"start": 3561.23, "end": 3561.51, "word": " now.", "probability": 0.89404296875}, {"start": 3562.35, "end": 3562.55, "word": " So", "probability": 0.94677734375}, {"start": 3562.55, "end": 3562.79, "word": " x", "probability": 0.68310546875}, {"start": 3562.79, "end": 3563.09, "word": " bar", "probability": 0.75830078125}, {"start": 3563.09, "end": 3564.07, "word": " 2", "probability": 0.4208984375}, {"start": 3564.07, "end": 3564.61, "word": ".1", "probability": 0.971923828125}, {"start": 3564.61, "end": 3565.63, "word": " plus", "probability": 0.873046875}, {"start": 3565.63, "end": 3566.69, "word": " 1645", "probability": 0.80810546875}, {"start": 3566.69, "end": 3568.23, "word": " sigma", "probability": 0.67333984375}], "temperature": 1.0}, {"id": 125, "seek": 360068, "start": 3574.48, "end": 3600.68, "text": " My calculator can find the error now. What's the value for this amount? My calculator. It's 5.75. 5.75. So this is your error. So E equals this amount.", "tokens": [1222, 24993, 393, 915, 264, 6713, 586, 13, 708, 311, 264, 2158, 337, 341, 2372, 30, 1222, 24993, 13, 467, 311, 1025, 13, 11901, 13, 1025, 13, 11901, 13, 407, 341, 307, 428, 6713, 13, 407, 462, 6915, 341, 2372, 13], "avg_logprob": -0.27418153342746554, "compression_ratio": 1.345132743362832, "no_speech_prob": 0.0, "words": [{"start": 3574.48, "end": 3574.8, "word": " My", "probability": 0.1298828125}, {"start": 3574.8, "end": 3575.28, "word": " calculator", "probability": 0.82275390625}, {"start": 3575.28, "end": 3575.56, "word": " can", "probability": 0.81298828125}, {"start": 3575.56, "end": 3575.9, "word": " find", "probability": 0.869140625}, {"start": 3575.9, "end": 3576.2, "word": " the", "probability": 0.67626953125}, {"start": 3576.2, "end": 3576.48, "word": " error", "probability": 0.8662109375}, {"start": 3576.48, "end": 3576.92, "word": " now.", "probability": 0.744140625}, {"start": 3577.84, "end": 3578.48, "word": " What's", "probability": 0.745849609375}, {"start": 3578.48, "end": 3578.6, "word": " the", "probability": 0.9208984375}, {"start": 3578.6, "end": 3578.74, "word": " value", "probability": 0.96923828125}, {"start": 3578.74, "end": 3578.96, "word": " for", "probability": 0.82080078125}, {"start": 3578.96, "end": 3579.12, "word": " this", "probability": 0.94580078125}, {"start": 3579.12, "end": 3579.44, "word": " amount?", "probability": 0.90478515625}, {"start": 3580.66, "end": 3580.86, "word": " My", "probability": 0.75439453125}, {"start": 3580.86, "end": 3581.26, "word": " calculator.", "probability": 0.94580078125}, {"start": 3590.7, "end": 3591.34, "word": " It's", "probability": 0.624755859375}, {"start": 3591.34, "end": 3591.78, "word": " 5", "probability": 0.4765625}, {"start": 3591.78, "end": 3593.02, "word": ".75.", "probability": 0.7255859375}, {"start": 3593.66, "end": 3594.3, "word": " 5", "probability": 0.6728515625}, {"start": 3594.3, "end": 3596.44, "word": ".75.", "probability": 0.87548828125}, {"start": 3597.64, "end": 3598.28, "word": " So", "probability": 0.9228515625}, {"start": 3598.28, "end": 3598.54, "word": " this", "probability": 0.8466796875}, {"start": 3598.54, "end": 3598.66, "word": " is", "probability": 0.93896484375}, {"start": 3598.66, "end": 3598.84, "word": " your", "probability": 0.90673828125}, {"start": 3598.84, "end": 3599.1, "word": " error.", "probability": 0.89794921875}, {"start": 3599.42, "end": 3599.64, "word": " So", "probability": 0.80126953125}, {"start": 3599.64, "end": 3599.82, "word": " E", "probability": 0.7314453125}, {"start": 3599.82, "end": 3600.16, "word": " equals", "probability": 0.7275390625}, {"start": 3600.16, "end": 3600.44, "word": " this", "probability": 0.9267578125}, {"start": 3600.44, "end": 3600.68, "word": " amount.", "probability": 0.904296875}], "temperature": 1.0}, {"id": 126, "seek": 362657, "start": 3601.55, "end": 3626.57, "text": " So W equals 2 plus 4. So the error is 5.74. So what's the width? The width equals 2 times E. Again.", "tokens": [407, 343, 6915, 568, 1804, 1017, 13, 407, 264, 6713, 307, 1025, 13, 34026, 13, 407, 437, 311, 264, 11402, 30, 440, 11402, 6915, 568, 1413, 462, 13, 3764, 13], "avg_logprob": -0.23450100614178565, "compression_ratio": 1.1764705882352942, "no_speech_prob": 0.0, "words": [{"start": 3601.55, "end": 3601.83, "word": " So", "probability": 0.90234375}, {"start": 3601.83, "end": 3602.25, "word": " W", "probability": 0.466552734375}, {"start": 3602.25, "end": 3603.81, "word": " equals", "probability": 0.21630859375}, {"start": 3603.81, "end": 3604.53, "word": " 2", "probability": 0.41650390625}, {"start": 3604.53, "end": 3605.07, "word": " plus", "probability": 0.76513671875}, {"start": 3605.07, "end": 3605.37, "word": " 4.", "probability": 0.73828125}, {"start": 3608.35, "end": 3609.33, "word": " So", "probability": 0.8681640625}, {"start": 3609.33, "end": 3609.47, "word": " the", "probability": 0.79296875}, {"start": 3609.47, "end": 3609.77, "word": " error", "probability": 0.8935546875}, {"start": 3609.77, "end": 3611.83, "word": " is", "probability": 0.92041015625}, {"start": 3611.83, "end": 3612.27, "word": " 5", "probability": 0.96240234375}, {"start": 3612.27, "end": 3613.41, "word": ".74.", "probability": 0.97998046875}, {"start": 3614.11, "end": 3614.49, "word": " So", "probability": 0.8623046875}, {"start": 3614.49, "end": 3614.71, "word": " what's", "probability": 0.883056640625}, {"start": 3614.71, "end": 3614.85, "word": " the", "probability": 0.89404296875}, {"start": 3614.85, "end": 3615.03, "word": " width?", "probability": 0.74951171875}, {"start": 3616.07, "end": 3617.05, "word": " The", "probability": 0.86669921875}, {"start": 3617.05, "end": 3617.37, "word": " width", "probability": 0.962890625}, {"start": 3617.37, "end": 3618.25, "word": " equals", "probability": 0.84912109375}, {"start": 3618.25, "end": 3619.57, "word": " 2", "probability": 0.8916015625}, {"start": 3619.57, "end": 3619.93, "word": " times", "probability": 0.90869140625}, {"start": 3619.93, "end": 3620.21, "word": " E.", "probability": 0.673828125}, {"start": 3625.59, "end": 3626.57, "word": " Again.", "probability": 0.9287109375}], "temperature": 1.0}, {"id": 127, "seek": 365354, "start": 3627.06, "end": 3653.54, "text": " This value, 1.645 times 1.7 divided by root 10. Three point. So again, arrow is 3.64. So what's the width? Twice this value, so two times this one.", "tokens": [639, 2158, 11, 502, 13, 21, 8465, 1413, 502, 13, 22, 6666, 538, 5593, 1266, 13, 6244, 935, 13, 407, 797, 11, 11610, 307, 805, 13, 19395, 13, 407, 437, 311, 264, 11402, 30, 46964, 341, 2158, 11, 370, 732, 1413, 341, 472, 13], "avg_logprob": -0.2875000026490953, "compression_ratio": 1.2436974789915967, "no_speech_prob": 0.0, "words": [{"start": 3627.06, "end": 3627.48, "word": " This", "probability": 0.38720703125}, {"start": 3627.48, "end": 3627.76, "word": " value,", "probability": 0.888671875}, {"start": 3627.82, "end": 3628.0, "word": " 1", "probability": 0.896484375}, {"start": 3628.0, "end": 3628.7, "word": ".645", "probability": 0.9376627604166666}, {"start": 3628.7, "end": 3629.18, "word": " times", "probability": 0.47509765625}, {"start": 3629.18, "end": 3629.42, "word": " 1", "probability": 0.380126953125}, {"start": 3629.42, "end": 3629.66, "word": ".7", "probability": 0.951416015625}, {"start": 3629.66, "end": 3629.94, "word": " divided", "probability": 0.58984375}, {"start": 3629.94, "end": 3630.12, "word": " by", "probability": 0.9736328125}, {"start": 3630.12, "end": 3630.34, "word": " root", "probability": 0.8955078125}, {"start": 3630.34, "end": 3630.58, "word": " 10.", "probability": 0.8486328125}, {"start": 3637.28, "end": 3637.88, "word": " Three", "probability": 0.263916015625}, {"start": 3637.88, "end": 3638.28, "word": " point.", "probability": 0.83251953125}, {"start": 3644.02, "end": 3644.62, "word": " So", "probability": 0.74267578125}, {"start": 3644.62, "end": 3645.18, "word": " again,", "probability": 0.78369140625}, {"start": 3645.54, "end": 3645.9, "word": " arrow", "probability": 0.384521484375}, {"start": 3645.9, "end": 3646.4, "word": " is", "probability": 0.90576171875}, {"start": 3646.4, "end": 3646.78, "word": " 3", "probability": 0.91357421875}, {"start": 3646.78, "end": 3647.62, "word": ".64.", "probability": 0.982421875}, {"start": 3648.94, "end": 3649.18, "word": " So", "probability": 0.64453125}, {"start": 3649.18, "end": 3649.38, "word": " what's", "probability": 0.895263671875}, {"start": 3649.38, "end": 3649.5, "word": " the", "probability": 0.92431640625}, {"start": 3649.5, "end": 3649.7, "word": " width?", "probability": 0.8564453125}, {"start": 3651.16, "end": 3651.76, "word": " Twice", "probability": 0.9658203125}, {"start": 3651.76, "end": 3652.04, "word": " this", "probability": 0.9130859375}, {"start": 3652.04, "end": 3652.34, "word": " value,", "probability": 0.95947265625}, {"start": 3652.44, "end": 3652.58, "word": " so", "probability": 0.884765625}, {"start": 3652.58, "end": 3652.78, "word": " two", "probability": 0.693359375}, {"start": 3652.78, "end": 3653.1, "word": " times", "probability": 0.93359375}, {"start": 3653.1, "end": 3653.32, "word": " this", "probability": 0.7109375}, {"start": 3653.32, "end": 3653.54, "word": " one.", "probability": 0.9150390625}], "temperature": 1.0}, {"id": 128, "seek": 368390, "start": 3657.88, "end": 3683.9, "text": " 7.28. Now it says in the problem here we have width of 2.36. So it's incorrect. So just simple calculation gives width of 7.28, not 2.36. Number three.", "tokens": [1614, 13, 11205, 13, 823, 309, 1619, 294, 264, 1154, 510, 321, 362, 11402, 295, 568, 13, 11309, 13, 407, 309, 311, 18424, 13, 407, 445, 2199, 17108, 2709, 11402, 295, 1614, 13, 11205, 11, 406, 568, 13, 11309, 13, 5118, 1045, 13], "avg_logprob": -0.2560369446873665, "compression_ratio": 1.2258064516129032, "no_speech_prob": 0.0, "words": [{"start": 3657.8799999999997, "end": 3658.72, "word": " 7", "probability": 0.391845703125}, {"start": 3658.72, "end": 3659.56, "word": ".28.", "probability": 0.89208984375}, {"start": 3662.12, "end": 3662.96, "word": " Now", "probability": 0.8056640625}, {"start": 3662.96, "end": 3663.18, "word": " it", "probability": 0.515625}, {"start": 3663.18, "end": 3663.42, "word": " says", "probability": 0.7900390625}, {"start": 3663.42, "end": 3663.98, "word": " in", "probability": 0.57763671875}, {"start": 3663.98, "end": 3664.1, "word": " the", "probability": 0.90380859375}, {"start": 3664.1, "end": 3664.4, "word": " problem", "probability": 0.91650390625}, {"start": 3664.4, "end": 3664.66, "word": " here", "probability": 0.80078125}, {"start": 3664.66, "end": 3664.84, "word": " we", "probability": 0.52734375}, {"start": 3664.84, "end": 3665.06, "word": " have", "probability": 0.947265625}, {"start": 3665.06, "end": 3665.4, "word": " width", "probability": 0.78955078125}, {"start": 3665.4, "end": 3665.82, "word": " of", "probability": 0.97119140625}, {"start": 3665.82, "end": 3667.18, "word": " 2", "probability": 0.363037109375}, {"start": 3667.18, "end": 3667.86, "word": ".36.", "probability": 0.962646484375}, {"start": 3668.16, "end": 3668.5, "word": " So", "probability": 0.92919921875}, {"start": 3668.5, "end": 3668.78, "word": " it's", "probability": 0.840576171875}, {"start": 3668.78, "end": 3669.2, "word": " incorrect.", "probability": 0.90478515625}, {"start": 3671.84, "end": 3672.18, "word": " So", "probability": 0.8828125}, {"start": 3672.18, "end": 3672.52, "word": " just", "probability": 0.818359375}, {"start": 3672.52, "end": 3672.96, "word": " simple", "probability": 0.70849609375}, {"start": 3672.96, "end": 3673.56, "word": " calculation", "probability": 0.912109375}, {"start": 3673.56, "end": 3673.98, "word": " gives", "probability": 0.8212890625}, {"start": 3673.98, "end": 3674.44, "word": " width", "probability": 0.916015625}, {"start": 3674.44, "end": 3674.9, "word": " of", "probability": 0.966796875}, {"start": 3674.9, "end": 3675.36, "word": " 7", "probability": 0.96533203125}, {"start": 3675.36, "end": 3676.32, "word": ".28,", "probability": 0.99169921875}, {"start": 3677.18, "end": 3677.54, "word": " not", "probability": 0.9052734375}, {"start": 3677.54, "end": 3679.94, "word": " 2", "probability": 0.69189453125}, {"start": 3679.94, "end": 3681.2, "word": ".36.", "probability": 0.99462890625}, {"start": 3682.72, "end": 3683.56, "word": " Number", "probability": 0.8583984375}, {"start": 3683.56, "end": 3683.9, "word": " three.", "probability": 0.517578125}], "temperature": 1.0}, {"id": 129, "seek": 371379, "start": 3687.95, "end": 3713.79, "text": " Look at number four. Other things be equal. As the confidence level for a confidence interval increases, the width of the interval increases. As the confidence level increases, confidence interval increases, the width of the interval increases. Correct. So that's true. Let's do number seven.", "tokens": [2053, 412, 1230, 1451, 13, 5358, 721, 312, 2681, 13, 1018, 264, 6687, 1496, 337, 257, 6687, 15035, 8637, 11, 264, 11402, 295, 264, 15035, 8637, 13, 1018, 264, 6687, 1496, 8637, 11, 6687, 15035, 8637, 11, 264, 11402, 295, 264, 15035, 8637, 13, 12753, 13, 407, 300, 311, 2074, 13, 961, 311, 360, 1230, 3407, 13], "avg_logprob": -0.14345365839785543, "compression_ratio": 2.092857142857143, "no_speech_prob": 0.0, "words": [{"start": 3687.95, "end": 3688.17, "word": " Look", "probability": 0.689453125}, {"start": 3688.17, "end": 3688.31, "word": " at", "probability": 0.96337890625}, {"start": 3688.31, "end": 3688.51, "word": " number", "probability": 0.7998046875}, {"start": 3688.51, "end": 3688.89, "word": " four.", "probability": 0.63427734375}, {"start": 3689.51, "end": 3689.75, "word": " Other", "probability": 0.56494140625}, {"start": 3689.75, "end": 3690.19, "word": " things", "probability": 0.8662109375}, {"start": 3690.19, "end": 3690.41, "word": " be", "probability": 0.84423828125}, {"start": 3690.41, "end": 3690.77, "word": " equal.", "probability": 0.8740234375}, {"start": 3692.39, "end": 3692.69, "word": " As", "probability": 0.96240234375}, {"start": 3692.69, "end": 3692.85, "word": " the", "probability": 0.90283203125}, {"start": 3692.85, "end": 3693.31, "word": " confidence", "probability": 0.966796875}, {"start": 3693.31, "end": 3693.65, "word": " level", "probability": 0.90966796875}, {"start": 3693.65, "end": 3694.51, "word": " for", "probability": 0.8955078125}, {"start": 3694.51, "end": 3694.71, "word": " a", "probability": 0.9228515625}, {"start": 3694.71, "end": 3695.11, "word": " confidence", "probability": 0.97705078125}, {"start": 3695.11, "end": 3695.55, "word": " interval", "probability": 0.958984375}, {"start": 3695.55, "end": 3696.07, "word": " increases,", "probability": 0.92236328125}, {"start": 3696.73, "end": 3697.25, "word": " the", "probability": 0.92041015625}, {"start": 3697.25, "end": 3697.55, "word": " width", "probability": 0.6669921875}, {"start": 3697.55, "end": 3697.81, "word": " of", "probability": 0.96826171875}, {"start": 3697.81, "end": 3697.97, "word": " the", "probability": 0.91162109375}, {"start": 3697.97, "end": 3698.33, "word": " interval", "probability": 0.98388671875}, {"start": 3698.33, "end": 3698.93, "word": " increases.", "probability": 0.92236328125}, {"start": 3700.57, "end": 3701.25, "word": " As", "probability": 0.9384765625}, {"start": 3701.25, "end": 3701.41, "word": " the", "probability": 0.90576171875}, {"start": 3701.41, "end": 3701.77, "word": " confidence", "probability": 0.9765625}, {"start": 3701.77, "end": 3702.11, "word": " level", "probability": 0.806640625}, {"start": 3702.11, "end": 3702.63, "word": " increases,", "probability": 0.7822265625}, {"start": 3702.85, "end": 3705.31, "word": " confidence", "probability": 0.3291015625}, {"start": 3705.31, "end": 3705.77, "word": " interval", "probability": 0.95263671875}, {"start": 3705.77, "end": 3706.29, "word": " increases,", "probability": 0.923828125}, {"start": 3706.67, "end": 3706.83, "word": " the", "probability": 0.9150390625}, {"start": 3706.83, "end": 3707.09, "word": " width", "probability": 0.9736328125}, {"start": 3707.09, "end": 3707.25, "word": " of", "probability": 0.958984375}, {"start": 3707.25, "end": 3707.37, "word": " the", "probability": 0.828125}, {"start": 3707.37, "end": 3707.65, "word": " interval", "probability": 0.9892578125}, {"start": 3707.65, "end": 3708.09, "word": " increases.", "probability": 0.89453125}, {"start": 3708.35, "end": 3708.53, "word": " Correct.", "probability": 0.7294921875}, {"start": 3709.67, "end": 3709.93, "word": " So", "probability": 0.9287109375}, {"start": 3709.93, "end": 3710.17, "word": " that's", "probability": 0.912841796875}, {"start": 3710.17, "end": 3710.41, "word": " true.", "probability": 0.95654296875}, {"start": 3711.77, "end": 3712.45, "word": " Let's", "probability": 0.972412109375}, {"start": 3712.45, "end": 3712.75, "word": " do", "probability": 0.958984375}, {"start": 3712.75, "end": 3713.49, "word": " number", "probability": 0.92822265625}, {"start": 3713.49, "end": 3713.79, "word": " seven.", "probability": 0.89599609375}], "temperature": 1.0}, {"id": 130, "seek": 374366, "start": 3716.84, "end": 3743.66, "text": " A point estimate consists of a single sample statistic that is used to estimate the true population parameter. That's correct because any point estimate, for example x bar, is used to determine the confidence interval for the unknown parameter mu.", "tokens": [316, 935, 12539, 14689, 295, 257, 2167, 6889, 29588, 300, 307, 1143, 281, 12539, 264, 2074, 4415, 13075, 13, 663, 311, 3006, 570, 604, 935, 12539, 11, 337, 1365, 2031, 2159, 11, 307, 1143, 281, 6997, 264, 6687, 15035, 337, 264, 9841, 13075, 2992, 13], "avg_logprob": -0.17051630693933237, "compression_ratio": 1.5897435897435896, "no_speech_prob": 0.0, "words": [{"start": 3716.84, "end": 3717.3, "word": " A", "probability": 0.36572265625}, {"start": 3717.3, "end": 3717.66, "word": " point", "probability": 0.94287109375}, {"start": 3717.66, "end": 3718.36, "word": " estimate", "probability": 0.9248046875}, {"start": 3718.36, "end": 3722.3, "word": " consists", "probability": 0.6748046875}, {"start": 3722.3, "end": 3723.02, "word": " of", "probability": 0.9716796875}, {"start": 3723.02, "end": 3723.34, "word": " a", "probability": 0.98583984375}, {"start": 3723.34, "end": 3723.68, "word": " single", "probability": 0.9580078125}, {"start": 3723.68, "end": 3724.14, "word": " sample", "probability": 0.61279296875}, {"start": 3724.14, "end": 3724.74, "word": " statistic", "probability": 0.84228515625}, {"start": 3724.74, "end": 3725.9, "word": " that", "probability": 0.84375}, {"start": 3725.9, "end": 3726.14, "word": " is", "probability": 0.94189453125}, {"start": 3726.14, "end": 3726.48, "word": " used", "probability": 0.91162109375}, {"start": 3726.48, "end": 3726.7, "word": " to", "probability": 0.96630859375}, {"start": 3726.7, "end": 3727.16, "word": " estimate", "probability": 0.9169921875}, {"start": 3727.16, "end": 3727.44, "word": " the", "probability": 0.79345703125}, {"start": 3727.44, "end": 3727.62, "word": " true", "probability": 0.91650390625}, {"start": 3727.62, "end": 3728.04, "word": " population", "probability": 0.9091796875}, {"start": 3728.04, "end": 3729.8, "word": " parameter.", "probability": 0.8740234375}, {"start": 3730.62, "end": 3731.0, "word": " That's", "probability": 0.77294921875}, {"start": 3731.0, "end": 3731.52, "word": " correct", "probability": 0.90625}, {"start": 3731.52, "end": 3732.86, "word": " because", "probability": 0.5185546875}, {"start": 3732.86, "end": 3734.56, "word": " any", "probability": 0.7529296875}, {"start": 3734.56, "end": 3734.84, "word": " point", "probability": 0.97265625}, {"start": 3734.84, "end": 3735.18, "word": " estimate,", "probability": 0.9228515625}, {"start": 3735.26, "end": 3735.44, "word": " for", "probability": 0.947265625}, {"start": 3735.44, "end": 3735.7, "word": " example", "probability": 0.9716796875}, {"start": 3735.7, "end": 3735.94, "word": " x", "probability": 0.56689453125}, {"start": 3735.94, "end": 3736.26, "word": " bar,", "probability": 0.80078125}, {"start": 3737.46, "end": 3737.82, "word": " is", "probability": 0.93603515625}, {"start": 3737.82, "end": 3738.22, "word": " used", "probability": 0.91552734375}, {"start": 3738.22, "end": 3739.6, "word": " to", "probability": 0.96533203125}, {"start": 3739.6, "end": 3740.04, "word": " determine", "probability": 0.91748046875}, {"start": 3740.04, "end": 3740.44, "word": " the", "probability": 0.91943359375}, {"start": 3740.44, "end": 3740.9, "word": " confidence", "probability": 0.97265625}, {"start": 3740.9, "end": 3741.36, "word": " interval", "probability": 0.966796875}, {"start": 3741.36, "end": 3741.92, "word": " for", "probability": 0.916015625}, {"start": 3741.92, "end": 3742.66, "word": " the", "probability": 0.90869140625}, {"start": 3742.66, "end": 3742.94, "word": " unknown", "probability": 0.88232421875}, {"start": 3742.94, "end": 3743.4, "word": " parameter", "probability": 0.9677734375}, {"start": 3743.4, "end": 3743.66, "word": " mu.", "probability": 0.47998046875}], "temperature": 1.0}, {"id": 131, "seek": 376574, "start": 3744.68, "end": 3765.74, "text": " So a single statistic can be used to estimate the true population parameter, either X bar as a point estimate or P. So that's true. 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A population parameter is used to estimate a confidence interval? No way. Because we use statistics to estimate the confidence interval. These are statistics. So we are using statistics to construct the confidence interval. Number 12. 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That's true. 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So it's false. So that's for section two. One section is left, free response problems or questions, you can do it at home. So next time, inshallah, we'll start chapter nine. 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@@ + +1 +00:00:08,370 --> 00:00:13,950 +Today, inshallah, we'll start chapter six. Chapter + +2 +00:00:13,950 --> 00:00:20,350 +six talks about the normal distribution. In this + +3 +00:00:20,350 --> 00:00:24,810 +chapter, there are mainly two objectives. The + +4 +00:00:24,810 --> 00:00:30,470 +first objective is to compute probabilities from + +5 +00:00:30,470 --> 00:00:34,530 +normal distribution. And mainly we'll focus on + +6 +00:00:34,530 --> 00:00:37,270 +objective number one. So we are going to use + +7 +00:00:37,270 --> 00:00:40,290 +normal distribution in this chapter. And we'll + +8 +00:00:40,290 --> 00:00:43,830 +know how can we compute probabilities if the data + +9 +00:00:43,830 --> 00:00:46,810 +set is normally distributed. You know many times + +10 +00:00:46,810 --> 00:00:50,690 +you talked about extreme points or outliers. So + +11 +00:00:50,690 --> 00:00:54,490 +that means if the data has outliers, that is the + +12 +00:00:54,490 --> 00:00:57,290 +distribution is not normally distributed. Now in + +13 +00:00:57,290 --> 00:01:01,090 +this case, If the distribution is normal, how can + +14 +00:01:01,090 --> 00:01:04,350 +we compute probabilities underneath the normal + +15 +00:01:04,350 --> 00:01:10,030 +curve? The second objective is to use the normal + +16 +00:01:10,030 --> 00:01:13,210 +probability plot to determine whether a set of + +17 +00:01:13,210 --> 00:01:18,150 +data is approximately normally distributed. I mean + +18 +00:01:18,150 --> 00:01:25,550 +beside box plots we discussed before. Beside this + +19 +00:01:25,550 --> 00:01:30,190 +score, how can we tell if the data point or + +20 +00:01:30,190 --> 00:01:35,350 +actually the entire distribution is approximately + +21 +00:01:35,350 --> 00:01:39,410 +normally distributed or not. Before we learn if + +22 +00:01:39,410 --> 00:01:44,110 +the point is outlier by using backsplot and this + +23 +00:01:44,110 --> 00:01:46,750 +score. In this chapter we'll know how can we + +24 +00:01:46,750 --> 00:01:51,630 +determine if the entire distribution is + +25 +00:01:51,630 --> 00:01:54,770 +approximately normal distributed. So there are two + +26 +00:01:54,770 --> 00:01:56,710 +objectives. One is to compute probabilities + +27 +00:01:56,710 --> 00:01:59,370 +underneath the normal curve. The other, how can we + +28 +00:01:59,370 --> 00:02:05,310 +tell if the data set is out or not? If you + +29 +00:02:05,310 --> 00:02:09,330 +remember, first class, we mentioned something + +30 +00:02:09,330 --> 00:02:13,130 +about data types. And we said data has mainly two + +31 +00:02:13,130 --> 00:02:17,930 +types. Numerical data, I mean quantitative data. + +32 +00:02:18,690 --> 00:02:22,630 +and categorical data, qualitative. For numerical + +33 +00:02:22,630 --> 00:02:26,190 +data also it has two types, continuous and + +34 +00:02:26,190 --> 00:02:30,430 +discrete. And discrete takes only integers such as + +35 +00:02:30,430 --> 00:02:35,310 +number of students who take this class or number + +36 +00:02:35,310 --> 00:02:40,190 +of accidents and so on. But if you are talking + +37 +00:02:40,190 --> 00:02:45,320 +about Age, weight, scores, temperature, and so on. + +38 +00:02:45,560 --> 00:02:49,260 +It's continuous distribution. For this type of + +39 +00:02:49,260 --> 00:02:53,320 +variable, I mean for continuous distribution, how + +40 +00:02:53,320 --> 00:02:56,300 +can we compute the probabilities underneath the + +41 +00:02:56,300 --> 00:02:59,640 +normal? So normal distribution maybe is the most + +42 +00:02:59,640 --> 00:03:02,380 +common distribution in statistics, and it's type + +43 +00:03:02,380 --> 00:03:07,820 +of continuous distribution. So first, let's define + +44 +00:03:07,820 --> 00:03:12,010 +continuous random variable. maybe because for + +45 +00:03:12,010 --> 00:03:15,230 +multiple choice problem you should know the + +46 +00:03:15,230 --> 00:03:19,110 +definition of continuous random variable is a + +47 +00:03:19,110 --> 00:03:22,070 +variable that can assume any value on a continuous + +48 +00:03:23,380 --> 00:03:27,020 +it can assume any uncountable number of values. So + +49 +00:03:27,020 --> 00:03:31,080 +it could be any number in an interval. For + +50 +00:03:31,080 --> 00:03:35,720 +example, suppose your ages range between 18 years + +51 +00:03:35,720 --> 00:03:39,580 +and 20 years. So maybe someone of you, their age + +52 +00:03:39,580 --> 00:03:44,000 +is about 18 years, three months. Or maybe your + +53 +00:03:44,000 --> 00:03:47,580 +weight is 70 kilogram point five, and so on. So + +54 +00:03:47,580 --> 00:03:49,780 +it's continuous on the variable. Other examples + +55 +00:03:49,780 --> 00:03:53,140 +for continuous, thickness of an item. For example, + +56 +00:03:53,740 --> 00:03:54,440 +the thickness. + +57 +00:03:58,260 --> 00:04:02,490 +This one is called thickness. Now, the thickness + +58 +00:04:02,490 --> 00:04:05,930 +may be 2 centimeters or 3 centimeters and so on, + +59 +00:04:06,210 --> 00:04:09,730 +but it might be 2.5 centimeters. For example, for + +60 +00:04:09,730 --> 00:04:13,030 +this remote, the thickness is 2.5 centimeters or 2 + +61 +00:04:13,030 --> 00:04:16,510 +.6, not exactly 2 or 3. So it could be any value. + +62 +00:04:16,650 --> 00:04:19,450 +Range is, for example, between 2 centimeters and 3 + +63 +00:04:19,450 --> 00:04:23,010 +centimeters. So from 2 to 3 is a big range because + +64 +00:04:23,010 --> 00:04:25,670 +it can take anywhere from 2.1 to 2.15 and so on. + +65 +00:04:26,130 --> 00:04:28,810 +So thickness is an example of continuous random + +66 +00:04:28,810 --> 00:04:31,190 +variable. Another example, time required to + +67 +00:04:31,190 --> 00:04:36,010 +complete a task. Now suppose you want to do an + +68 +00:04:36,010 --> 00:04:39,710 +exercise. Now the time required to finish or to + +69 +00:04:39,710 --> 00:04:45,150 +complete this task may be any value between 2 + +70 +00:04:45,150 --> 00:04:48,730 +minutes up to 3 minutes. So maybe 2 minutes 30 + +71 +00:04:48,730 --> 00:04:52,150 +seconds, 2 minutes 40 seconds and so on. So it's + +72 +00:04:52,150 --> 00:04:55,550 +continuous random variable. Temperature of a + +73 +00:04:55,550 --> 00:05:00,140 +solution. height, weight, ages, and so on. These + +74 +00:05:00,140 --> 00:05:03,720 +are examples of continuous random variable. So + +75 +00:05:03,720 --> 00:05:08,040 +these variables can potentially take on any value + +76 +00:05:08,040 --> 00:05:11,340 +depending only on the ability to precisely and + +77 +00:05:11,340 --> 00:05:14,020 +accurately measure. So that's the definition of + +78 +00:05:14,020 --> 00:05:17,320 +continuous random variable. Now, if you look at + +79 +00:05:17,320 --> 00:05:21,810 +the normal distribution, It looks like bell + +80 +00:05:21,810 --> 00:05:25,990 +-shaped, as we discussed before. So it's bell + +81 +00:05:25,990 --> 00:05:31,270 +-shaped, symmetrical. Symmetrical means the area + +82 +00:05:31,270 --> 00:05:34,390 +to the right of the mean equals the area to the + +83 +00:05:34,390 --> 00:05:37,950 +left of the mean. I mean 50% of the area above and + +84 +00:05:37,950 --> 00:05:41,770 +50% below. So that's the meaning of symmetrical. + +85 +00:05:42,490 --> 00:05:46,370 +The other feature of normal distribution, the + +86 +00:05:46,370 --> 00:05:49,510 +measures of center tendency are equal or + +87 +00:05:49,510 --> 00:05:53,170 +approximately equal. Mean, median, and mode are + +88 +00:05:53,170 --> 00:05:55,530 +roughly equal. In reality, they are not equal, + +89 +00:05:55,650 --> 00:05:58,210 +exactly equal, but you can say they are + +90 +00:05:58,210 --> 00:06:01,850 +approximately equal. Now, there are two parameters + +91 +00:06:01,850 --> 00:06:05,750 +describing the normal distribution. One is called + +92 +00:06:05,750 --> 00:06:10,820 +the location parameter. location, or central + +93 +00:06:10,820 --> 00:06:13,800 +tendency, as we discussed before, location is + +94 +00:06:13,800 --> 00:06:17,160 +determined by the mean mu. So the first parameter + +95 +00:06:17,160 --> 00:06:20,340 +for the normal distribution is the mean mu. The + +96 +00:06:20,340 --> 00:06:24,240 +other parameter measures the spread of the data, + +97 +00:06:24,280 --> 00:06:27,680 +or the variability of the data, and the spread is + +98 +00:06:27,680 --> 00:06:31,860 +sigma, or the variation. So we have two + +99 +00:06:31,860 --> 00:06:36,770 +parameters, mu and sigma. The random variable in + +100 +00:06:36,770 --> 00:06:39,930 +this case can take any value from minus infinity + +101 +00:06:39,930 --> 00:06:44,270 +up to infinity. So random variable in this case + +102 +00:06:44,270 --> 00:06:50,310 +continuous ranges from minus infinity all the way + +103 +00:06:50,310 --> 00:06:55,100 +up to infinity. I mean from this point here up to + +104 +00:06:55,100 --> 00:06:58,380 +infinity. So the values range from minus infinity + +105 +00:06:58,380 --> 00:07:02,080 +up to infinity. And if you look here, the mean is + +106 +00:07:02,080 --> 00:07:05,600 +located nearly in the middle. And mean and median + +107 +00:07:05,600 --> 00:07:10,820 +are all approximately equal. That's the features + +108 +00:07:10,820 --> 00:07:14,740 +or the characteristics of the normal distribution. + +109 +00:07:16,460 --> 00:07:20,360 +Now, how can we compute the probabilities under + +110 +00:07:20,360 --> 00:07:25,840 +the normal killer? The formula that is used to + +111 +00:07:25,840 --> 00:07:29,220 +compute the probabilities is given by this one. It + +112 +00:07:29,220 --> 00:07:33,560 +looks complicated formula because we have to use + +113 +00:07:33,560 --> 00:07:36,040 +calculus in order to determine the area underneath + +114 +00:07:36,040 --> 00:07:40,120 +the cube. So we are looking for something else. So + +115 +00:07:40,120 --> 00:07:45,300 +this formula is it seems to be complicated. It's + +116 +00:07:45,300 --> 00:07:49,600 +not hard but it's complicated one, but we can use + +117 +00:07:49,600 --> 00:07:52,380 +it. If we know calculus very well, we can use + +118 +00:07:52,380 --> 00:07:55,240 +integration to create the probabilities underneath + +119 +00:07:55,240 --> 00:07:58,900 +the curve. But for our course, we are going to + +120 +00:07:58,900 --> 00:08:04,460 +skip this formula because this + +121 +00:08:04,460 --> 00:08:09,340 +formula depends actually on mu and sigma. A mu can + +122 +00:08:09,340 --> 00:08:13,110 +take any value. Sigma also can take any value. + +123 +00:08:13,930 --> 00:08:17,310 +That means we have different normal distributions. + +124 +00:08:18,470 --> 00:08:23,830 +Because the distribution actually depends on these + +125 +00:08:23,830 --> 00:08:27,610 +two parameters. So by varying the parameters mu + +126 +00:08:27,610 --> 00:08:29,790 +and sigma, we obtain different normal + +127 +00:08:29,790 --> 00:08:32,710 +distributions. Since we have different mu and + +128 +00:08:32,710 --> 00:08:36,310 +sigma, it means we should have different normal + +129 +00:08:36,310 --> 00:08:38,770 +distributions. For this reason, it's very + +130 +00:08:38,770 --> 00:08:43,430 +complicated to have tables or probability tables + +131 +00:08:43,430 --> 00:08:46,010 +in order to determine these probabilities because + +132 +00:08:46,010 --> 00:08:50,130 +there are infinite values of mu and sigma maybe + +133 +00:08:50,130 --> 00:08:57,750 +your edges the mean is 19. Sigma is, for example, + +134 +00:08:57,910 --> 00:09:01,990 +5. For weights, maybe the mean is 70 kilograms, + +135 +00:09:02,250 --> 00:09:04,990 +the average is 10. For scores, maybe the average + +136 +00:09:04,990 --> 00:09:08,710 +is 65, the mean is 20, sigma is 20, and so on. So + +137 +00:09:08,710 --> 00:09:11,090 +we have different values of mu and sigma. For this + +138 +00:09:11,090 --> 00:09:13,650 +reason, we have different normal distributions. + +139 +00:09:18,490 --> 00:09:25,740 +Because changing mu shifts the distribution either + +140 +00:09:25,740 --> 00:09:29,640 +left or to the right. So maybe the mean is shifted + +141 +00:09:29,640 --> 00:09:32,440 +to the right side, or the mean maybe shifted to + +142 +00:09:32,440 --> 00:09:37,140 +the left side. Also, changing sigma, sigma is the + +143 +00:09:37,140 --> 00:09:40,660 +distance between the mu and the curve. The curve + +144 +00:09:40,660 --> 00:09:45,220 +is the points, or the data values. Now this sigma + +145 +00:09:45,220 --> 00:09:48,380 +can be increases or decreases. So if sigma + +146 +00:09:48,380 --> 00:09:52,860 +increases, it means the spread also increases. Or + +147 +00:09:52,860 --> 00:09:55,780 +if sigma decreases, also the spread will decrease. + +148 +00:09:56,200 --> 00:09:59,660 +So the distribution or the normal distribution + +149 +00:09:59,660 --> 00:10:02,820 +depends actually on these two values. For this + +150 +00:10:02,820 --> 00:10:05,120 +reason, since we have too many values or infinite + +151 +00:10:05,120 --> 00:10:07,600 +values of mu and sigma, then in this case we have + +152 +00:10:07,600 --> 00:10:14,500 +different normal distributions. There is another + +153 +00:10:14,500 --> 00:10:16,940 +distribution. It's called standardized normal. + +154 +00:10:20,330 --> 00:10:26,070 +Now, we have normal distribution X, and how can we + +155 +00:10:26,070 --> 00:10:31,930 +transform from normal distribution to standardized + +156 +00:10:31,930 --> 00:10:35,310 +normal distribution? The reason is that the mean + +157 +00:10:35,310 --> 00:10:40,310 +of Z, I mean, Z is used for standardized normal. + +158 +00:10:40,850 --> 00:10:44,490 +The mean of Z is always zero, and sigma is one. + +159 +00:10:45,770 --> 00:10:48,150 +Now it's a big difference. The first one has + +160 +00:10:48,150 --> 00:10:53,160 +infinite values of Mu and Sigma. Now, for the + +161 +00:10:53,160 --> 00:10:56,200 +standardized normal distribution, the mean is + +162 +00:10:56,200 --> 00:11:01,540 +fixed value. The mean is zero, Sigma is one. So, + +163 +00:11:01,620 --> 00:11:04,340 +the question is, how can we actually transform + +164 +00:11:04,340 --> 00:11:09,720 +from X, which has normal distribution, to Z, which + +165 +00:11:09,720 --> 00:11:13,160 +has standardized normal with mean zero and Sigma + +166 +00:11:13,160 --> 00:11:23,330 +of one. Let's see. How can we translate x which + +167 +00:11:23,330 --> 00:11:27,510 +has normal distribution to z that has standardized + +168 +00:11:27,510 --> 00:11:32,190 +normal distribution? The idea is you have just to + +169 +00:11:32,190 --> 00:11:39,170 +subtract mu of x, x minus mu, then divide this + +170 +00:11:39,170 --> 00:11:43,150 +result by sigma. So we just subtract the mean of + +171 +00:11:43,150 --> 00:11:49,660 +x. and dividing by its standard deviation now so + +172 +00:11:49,660 --> 00:11:52,360 +if we have x which has normal distribution with + +173 +00:11:52,360 --> 00:11:55,940 +mean mu and standard deviation sigma to transform + +174 +00:11:55,940 --> 00:12:00,960 +or to convert to z score use this formula x minus + +175 +00:12:00,960 --> 00:12:05,220 +the mean then divide by its standard deviation now + +176 +00:12:05,220 --> 00:12:09,090 +all of the time we are going to use z for + +177 +00:12:09,090 --> 00:12:12,230 +standardized normal distribution and always z has + +178 +00:12:12,230 --> 00:12:15,370 +mean zero and all and sigma or standard deviation. + +179 +00:12:16,250 --> 00:12:20,170 +So the z distribution always has mean of zero and + +180 +00:12:20,170 --> 00:12:25,490 +sigma of one. So that's the story of standardizing + +181 +00:12:25,490 --> 00:12:33,070 +the normal value. Now the Formula for this score + +182 +00:12:33,070 --> 00:12:37,570 +becomes better than the first one, but still we + +183 +00:12:37,570 --> 00:12:40,570 +have to use calculus in order to determine the + +184 +00:12:40,570 --> 00:12:45,710 +probabilities under the standardized normal k. But + +185 +00:12:45,710 --> 00:12:49,470 +this distribution has mean of zero and sigma of + +186 +00:12:49,470 --> 00:12:56,910 +one. So we have a table on page 570. Look at page + +187 +00:12:56,910 --> 00:13:00,910 +570. We have table or actually there are two + +188 +00:13:00,910 --> 00:13:05,010 +tables. One for negative value of Z and the other + +189 +00:13:05,010 --> 00:13:08,830 +for positive value of Z. So we have two tables for + +190 +00:13:08,830 --> 00:13:14,730 +positive and negative values of Z on page 570 and + +191 +00:13:14,730 --> 00:13:15,470 +571. + +192 +00:13:17,870 --> 00:13:22,770 +Now the table on page 570 looks like this one. The + +193 +00:13:22,770 --> 00:13:26,610 +table you have starts from minus 6, then minus 5, + +194 +00:13:26,750 --> 00:13:32,510 +minus 4.5, and so on. Here we start from minus 3.4 + +195 +00:13:32,510 --> + +223 +00:16:01,880 --> 00:16:06,470 +mean of x is 100. and the standard deviation of + +224 +00:16:06,470 --> 00:16:11,110 +50. So sigma is 50. Now let's see how can we + +225 +00:16:11,110 --> 00:16:17,750 +compute the z-score for x equals 200. Again the + +226 +00:16:17,750 --> 00:16:22,790 +formula is just x minus mu divided by sigma x 200 + +227 +00:16:22,790 --> 00:16:28,330 +minus 100 divided by 50 that will give 2. Now the + +228 +00:16:28,330 --> 00:16:33,910 +sign of this value is positive. That means x is + +229 +00:16:33,910 --> 00:16:37,950 +greater than the mean, because x is 200. Now, + +230 +00:16:37,990 --> 00:16:42,270 +what's the meaning of 2? What does this value tell + +231 +00:16:42,270 --> 00:16:42,410 +you? + +232 +00:16:48,230 --> 00:16:55,430 +Yeah, exactly. x equals 200 is two standard + +233 +00:16:55,430 --> 00:16:58,690 +deviations above the mean. Because if you look at + +234 +00:16:58,690 --> 00:17:05,210 +200, the x value, the mean is 100, sigma is 50. + +235 +00:17:05,730 --> 00:17:09,690 +Now the difference between the score, which is + +236 +00:17:09,690 --> 00:17:16,810 +200, and the mu, which is 100, is equal to + +237 +00:17:16,810 --> 00:17:18,690 +standard deviations, because the difference is + +238 +00:17:18,690 --> 00:17:24,230 +100. 2 times 50 is 100. So this says that x equals + +239 +00:17:24,230 --> 00:17:29,070 +200 is 2 standard deviations above the mean. If z + +240 +00:17:29,070 --> 00:17:34,330 +is negative, you can say that x is two standard + +241 +00:17:34,330 --> 00:17:38,710 +deviations below the mean. Make sense? So that's how + +242 +00:17:38,710 --> 00:17:42,670 +we can compute the z score. Now, when we + +243 +00:17:42,670 --> 00:17:45,970 +transform from normal distribution to + +244 +00:17:45,970 --> 00:17:49,490 +standardized, still we will have the same shape. I + +245 +00:17:49,490 --> 00:17:51,350 +mean the distribution is still normally + +246 +00:17:51,350 --> 00:17:55,800 +distributed. So note, the shape of the + +247 +00:17:55,800 --> 00:17:58,840 +distribution is the same, only the scale has + +248 +00:17:58,840 --> 00:18:04,500 +changed. So we can express the problem in original + +249 +00:18:04,500 --> 00:18:10,640 +units, X, or in a standardized unit, Z. So when we + +250 +00:18:10,640 --> 00:18:16,620 +have X, just use this equation to transform to + +251 +00:18:16,620 --> 00:18:17,160 +this form. + +252 +00:18:21,360 --> 00:18:23,200 +Now, for example, suppose we have a normal + +253 +00:18:23,200 --> 00:18:26,040 +distribution and we are interested in the area + +254 +00:18:26,040 --> 00:18:32,660 +between A and B. Now, the area between A and B, it + +255 +00:18:32,660 --> 00:18:34,700 +means the probability between them. So + +256 +00:18:34,700 --> 00:18:39,140 +statistically speaking, area means probability. So + +257 +00:18:39,140 --> 00:18:42,700 +probability between A and B, I mean probability of + +258 +00:18:42,700 --> 00:18:45,380 +X greater than or equal A and less than or equal B + +259 +00:18:45,380 --> 00:18:49,420 +is the same as X greater than A or less than B. + +260 +00:18:50,450 --> 00:18:57,210 +That means the probability of X equals A this + +261 +00:18:57,210 --> 00:19:02,510 +probability is zero or probability of X equals B + +262 +00:19:02,510 --> 00:19:06,930 +is also zero. So in continuous distribution the + +263 +00:19:06,930 --> 00:19:10,630 +equal sign does not matter, I mean if we have equal + +264 +00:19:10,630 --> 00:19:15,130 +sign or we don't have these probabilities are the + +265 +00:19:15,130 --> 00:19:19,390 +same, so I mean, for example if we are interested + +266 +00:19:20,310 --> 00:19:23,450 +for probability of X smaller than or equal to E. + +267 +00:19:24,850 --> 00:19:30,370 +This probability is the same as X smaller than E. + +268 +00:19:31,330 --> 00:19:33,730 +Or on the other hand, if you are interested in the + +269 +00:19:33,730 --> 00:19:39,010 +area above B greater than or equal to B, it's the + +270 +00:19:39,010 --> 00:19:44,770 +same as X smaller than E. So don't worry about the + +271 +00:19:44,770 --> 00:19:48,660 +equal sign. For continuous distribution, exactly. + +272 +00:19:49,120 --> 00:19:53,820 +But for discrete, it does matter. Now, since we + +273 +00:19:53,820 --> 00:19:58,200 +are talking about normal distribution, and as we + +274 +00:19:58,200 --> 00:20:01,320 +mentioned, normal distribution is symmetric around + +275 +00:20:01,320 --> 00:20:05,900 +the mean, that means the area to the right equals + +276 +00:20:05,900 --> 00:20:09,340 +the area to the left. Now the entire area + +277 +00:20:09,340 --> 00:20:12,940 +underneath the normal curve equals one. I mean + +278 +00:20:12,940 --> 00:20:16,500 +probability of X ranges from minus infinity up to + +279 +00:20:16,500 --> 00:20:21,500 +infinity equals one. So probability of X greater + +280 +00:20:21,500 --> 00:20:26,920 +than minus infinity up to infinity is one. The + +281 +00:20:26,920 --> 00:20:31,480 +total area is one. So the area from minus infinity + +282 +00:20:31,480 --> 00:20:38,080 +up to the mean mu is one-half. The same as the + +283 +00:20:38,080 --> 00:20:42,600 +area from mu up to infinity is also one-half. That + +284 +00:20:42,600 --> 00:20:44,760 +means the probability of X greater than minus + +285 +00:20:44,760 --> 00:20:48,300 +infinity up to mu equals the probability from mu + +286 +00:20:48,300 --> 00:20:52,120 +up to infinity because of symmetry. I mean you + +287 +00:20:52,120 --> 00:20:56,160 +cannot say that for any distribution. Just for + +288 +00:20:56,160 --> 00:20:59,000 +symmetric distribution, the area below the mean + +289 +00:20:59,000 --> 00:21:03,780 +equals one-half, which is the same as the area to + +290 +00:21:03,780 --> 00:21:07,110 +the right of the mean. So the entire probability + +291 +00:21:07,110 --> 00:21:11,330 +is one. And also you have to keep in mind that the + +292 +00:21:11,330 --> 00:21:17,570 +probability always ranges between zero and one. So + +293 +00:21:17,570 --> 00:21:20,030 +that means the probability couldn't be negative. + +294 +00:21:22,870 --> 00:21:27,730 +It should be positive. It shouldn't be greater + +295 +00:21:27,730 --> 00:21:31,710 +than one. So it's between zero and one. So always + +296 +00:21:31,710 --> 00:21:39,020 +the probability lies between zero and one. The + +297 +00:21:39,020 --> 00:21:44,500 +tables we have on page 570 and 571 give the area + +298 +00:21:44,500 --> 00:21:46,040 +to the left side. + +299 +00:21:49,420 --> 00:21:54,660 +For negative or positive z's. Now for example, + +300 +00:21:54,940 --> 00:22:03,060 +suppose we are looking for probability of z less + +301 +00:22:03,060 --> 00:22:08,750 +than 2. How can we find this probability by using + +302 +00:22:08,750 --> 00:22:12,210 +the normal curve? Let's go back to this normal + +303 +00:22:12,210 --> 00:22:16,410 +distribution. In the second page, we have positive + +304 +00:22:16,410 --> 00:22:17,070 +z-scores. + +305 +00:22:23,850 --> 00:22:33,390 +So we ask about the probability of z less than. So + +306 +00:22:33,390 --> 00:22:40,690 +the second page, gives positive values of z. And + +307 +00:22:40,690 --> 00:22:44,590 +the table gives the area below. And he asked about + +308 +00:22:44,590 --> 00:22:49,550 +here, B of z is smaller than 2. Now 2, if you + +309 +00:22:49,550 --> 00:22:54,910 +hear, up all the way down here, 2, 0, 0. So the + +310 +00:22:54,910 --> 00:23:00,530 +answer is 9772. So this value, so the probability + +311 +00:23:00,530 --> 00:23:02,130 +is 9772. + +312 +00:23:03,990 --> 00:23:05,390 +Because it's 2. + +313 +00:23:09,510 --> 00:23:14,650 +It's 2, 0, 0. But if you ask about what's the + +314 +00:23:14,650 --> 00:23:20,590 +probability of Z less than 2.05? So this is 2. + +315 +00:23:23,810 --> 00:23:30,370 +Now under 5, 9, 7, 9, 8. So the answer is 9, 7. + +316 +00:23:34,360 --> 00:23:38,900 +Because this is two, and we need five decimal + +317 +00:23:38,900 --> 00:23:44,820 +places. So all the way up to 9798. So this value + +318 +00:23:44,820 --> 00:23:54,380 +is 2.05. Now it's about, it's more than 1.5, + +319 +00:23:55,600 --> 00:23:56,880 +exactly 1.5. + +320 +00:24:02,140 --> 00:24:04,880 +1.5. This is 1.5. + +321 +00:24:08,800 --> 00:24:09,720 +9332. + +322 +00:24:12,440 --> 00:24:16,300 +1.5. Exactly 1.5. So 9332. + +323 +00:24:18,780 --> 00:24:27,990 +What's about probability less than 1.35? 1.3 all + +324 +00:24:27,990 --> 00:24:35,250 +the way to 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +325 +00:24:35,250 --> 00:24:35,650 +.115. 9.115. + +326 +00:24:41,170 --> 00:24:42,430 +9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +327 +00:24:42,430 --> 00:24:42,450 +.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +328 +00:24:42,450 --> 00:24:44,050 +.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +329 +00:24:44,050 --> 00:24:50,530 +.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +330 +00:24:50,530 --> 00:24:54,980 +.115. 9. But here we are looking for the area to + +331 +00:24:54,980 --> 00:25:01,280 +the right. One minus one. Now this area equals + +332 +00:25:01,280 --> 00:25:05,660 +one minus because + +333 +00:25:05,660 --> 00:25:11,420 +since suppose + +334 +00:25:11,420 --> 00:25:18,760 +this is the 1.35 and we are interested in the area + +335 +00:25:18,760 --> 00:25:24,030 +to the right or above 1.35. The table gives the + +336 +00:25:24,030 --> 00:25:28,230 +area below. So the area above equals the total + +337 +00:25:28,230 --> 00:25:31,970 +area underneath the curve is 1. So 1 minus this + +338 +00:25:31,970 --> 00:25:39,050 +value, so equals 0.0885, + +339 +00:25:39,350 --> 00:25:42,250 +and so on. So this is the way how can we compute + +340 +00:25:42,250 --> 00:25:47,850 +the probabilities underneath the normal curve. If + +341 +00:25:47,850 --> 00:25:51,090 +it's probability of z is smaller than then just + +342 +00:25:51,090 --> 00:25:55,910 +use the table directly otherwise if we are talking + +343 +00:25:55,910 --> 00:26:00,390 +about z greater than subtract from one to get the + +344 +00:26:00,390 --> 00:26:04,870 +result. That's how can we compute the probability + +345 +00:26:04,870 --> 00:26:13,750 +of z less than or equal. Now + +346 +00:26:13,750 --> 00:26:18,890 +let's see if we have x and x that has a normal + +347 +00:26:18,890 --> 00:26:22,070 +distribution with mean mu and standard deviation + +348 +00:26:22,070 --> 00:26:26,250 +of sigma and let's see how can we compute the + +349 +00:26:26,250 --> 00:26:33,790 +value of the probability. Mainly + +350 +00:26:33,790 --> 00:26:38,190 +there are three steps to find the probability of x + +351 +00:26:38,190 --> 00:26:42,490 +greater than a and less than b when x is + +352 +00:26:42,490 --> 00:26:47,000 +distributed normally. First step. Draw a normal curve + +353 +00:26:47,000 --> 00:26:54,880 +for the problem in terms of x. So draw the normal + +354 +00:26:54,880 --> 00:26:58,140 +curve first. Second, translate x values to z + +355 +00:26:58,140 --> 00:27:03,040 +values by using the formula we have. z equals x minus mu + +356 +00:27:03,040 --> 00:27:06,440 +divided by sigma. Then use the standardized normal + +357 +00:27:06,440 --> 00:27:15,140 +table on page 570 and 571. For example, let's see + +358 +00:27:15,140 --> 00:27:18,420 +how can we find normal probabilities. Let's assume + +359 +00:27:18,420 --> 00:27:23,760 +that X represents the time it takes to download an + +360 +00:27:23,760 --> 00:27:28,580 +image from the internet. So suppose X, time + +361 +00:27:28,580 --> 00:27:33,760 +required to download an image file from the + +362 +00:27:33,760 --> 00:27:38,460 +internet. And suppose we know that the time is + +363 +00:27:38,460 --> 00:27:42,060 +normally distributed with a mean of eight + +364 +00:27:42,060 --> 00:27:46,130 +minutes and standard deviation of five minutes. + +365 +00:27:46,490 --> 00:27:47,510 +So we know the mean. + +366 +00:27:50,610 --> 00:27:59,670 +Eight. Eight. And sigma of five minutes. And they + +367 +00:27:59,670 --> 00:28:03,410 +ask about what's the probability of X smaller than + +368 +00:28:03,410 --> 00:28:07,990 +8.16. So first thing we have to compute, + +369 +00:28:08,170 --> 00:28:12,190 +to draw the normal curve. The mean lies in the + +370 +00:28:12,190 --> 00:28:18,060 +center, which is 8. He asked about probability of + +371 +00:28:18,060 --> 00:28:22,580 +X smaller than 8.6. So we are interested in the + +372 +00:28:22,580 --> 00:28:27,920 +area below 8.6. So it matched the table we have. + +373 +00:28:29,980 --> 00:28:34,900 +Second step, we have to transform from normal + +374 +00:28:34,900 --> 00:28:37,280 +distribution to standardized normal distribution + +375 +00:28:37,280 --> 00:28:42,120 +by using this form, which is X minus mu divided by + +376 +00:28:42,120 --> 00:28:51,430 +sigma. So x is 8.6 minus the mean, 8, divided by + +377 +00:28:51,430 --> 00:28:57,130 +sigma, gives 0.12. So just straightforward + +378 +00:28:57,130 --> 00:29:02,890 +calculation, 8.6 is your value of x. The mean is + +379 +00:29:02,890 --> 00:29:12,810 +8, sigma is 5, so that gives 0.12. So now, the + +380 +00:29:12,810 --> 00:29:17,210 +problem becomes, instead of asking x smaller than + +381 +00:29:17,210 --> 00:29:25,110 +8.6, it's similar to z less than 0.12. Still, we + +382 +00:29:25,110 --> 00:29:26,310 +have the same normal curve. + +383 +00:29:29,450 --> 00:29:32,990 +8, the mean. Now, the mean of z is 0, as we + +384 +00:29:32,990 --> 00:29:39,230 +mentioned. Instead of x, 8.6, the corresponding z + +385 +00:29:39,230 --> 00:29:43,000 +value is 0.12. So instead of finding probability + +386 +00:29:43,000 --> 00:29:48,580 +of X smaller than 8.6, smaller than 1.12, so they + +387 +00:29:48,580 --> 00:29:53,760 +are equivalent. So we transform here from normal + +388 +00:29:53,760 --> 00:29:56,980 +distribution to standardized normal distribution + +389 +00:29:56,980 --> 00:29:59,980 +in order to compute the probability we are looking + +390 +00:29:59,980 --> 00:30:05,820 +for. Now, this is just a portion of the table we + +391 +00:30:05,820 --> 00:30:06,100 +have. + +392 +00:30:10,530 --> 00:30:18,530 +So for positive z values. Now 0.1 is 0.1. Because + +393 +00:30:18,530 --> 00:30:25,670 +here we are looking for z less than 0.1. So 0.1. + +394 +00:30:27,210 --> 00:30:32,950 +Also, we have two. So move up to two decimal + +395 +00:30:32,950 --> 00:30:38,190 +places, we get this value. So the answer is point. + +396 +00:30:42,120 --> 00:30:45,860 +I think it's straightforward to compute the + +397 +00:30:45,860 --> 00:30:49,460 +probability underneath the normal curve if X has + +398 +00:30:49,460 --> 00:30:53,160 +normal distribution. So B of X is smaller than 8.6 + +399 +00:30:53,160 --> 00:30:56,740 +is the same as B of Z less than 0.12, which is + +400 +00:30:56,740 --> 00:31:02,680 +around 55%. Makes sense because the area to the + +401 +00:31:02,680 --> 00:31:07,080 +left of 0 equals 1 half. But we are looking for + +402 +00:31:07,080 --> 00:31:12,440 +the area below 0.12. So greater than zero. So this + +403 +00:31:12,440 --> 00:31:16,600 +area actually is greater than 0.5. So it makes + +404 +00:31:16,600 --> 00:31:20,440 +sense that your result is greater than 0.5. + +405 +00:31:22,320 --> 00:31:22,960 +Questions? + +406 +00:31:25,480 --> 00:31:30,780 +Next, suppose we are interested in + +445 +00:34:59,320 --> 00:35:04,240 +answer is going to be 0.478. So that's how can we + +446 +00:35:04,240 --> 00:35:07,540 +compute the probabilities for lower 10 directly + +447 +00:35:07,540 --> 00:35:12,230 +from the table. upper tail is just one minus lower + +448 +00:35:12,230 --> 00:35:18,990 +tail and between two values just subtracts the + +449 +00:35:18,990 --> 00:35:21,970 +larger one minus smaller one because he was + +450 +00:35:21,970 --> 00:35:26,310 +subtracted by less than point one minus bz less + +451 +00:35:26,310 --> 00:35:29,430 +than or equal to zero that will give the normal + +452 +00:35:29,430 --> 00:35:36,850 +probability another example suppose we are looking + +453 +00:35:36,850 --> 00:35:49,350 +for X between 7.4 and 8. Now, 7.4 lies below the + +454 +00:35:49,350 --> 00:35:55,270 +mean. So here, this value, we have to compute the + +455 +00:35:55,270 --> 00:36:00,130 +z-score for 7.4 and also the z-score for 8, which + +456 +00:36:00,130 --> 00:36:04,090 +is zero. And that will give, again, + +457 +00:36:07,050 --> 00:36:13,710 +7.4, if you just use this equation, minus + +458 +00:36:13,710 --> 00:36:17,690 +the mean, divided by sigma, negative 0.6 divided + +459 +00:36:17,690 --> 00:36:21,150 +by 5, which is negative 0.12. + +460 +00:36:22,730 --> 00:36:31,410 +So it gives B of z between minus 0.12 and 0. And + +461 +00:36:31,410 --> 00:36:35,700 +that again is B of z less than 0. minus P of Z + +462 +00:36:35,700 --> 00:36:40,140 +less than negative 0.12. Is it clear? Now here we + +463 +00:36:40,140 --> 00:36:42,260 +converted or we transformed from normal + +464 +00:36:42,260 --> 00:36:45,960 +distribution to standardized. So instead of X + +465 +00:36:45,960 --> 00:36:52,100 +between 7.4 and 8, we have now Z between minus 0 + +466 +00:36:52,100 --> 00:36:57,480 +.12 and 0. So this area actually is the red one, + +467 +00:36:57,620 --> 00:37:03,740 +the red area is one-half. Total area below z is + +468 +00:37:03,740 --> 00:37:10,700 +one-half, below zero, and minus z below minus 0 + +469 +00:37:10,700 --> 00:37:17,820 +.12. So B of z less than zero minus negative 0.12. + +470 +00:37:18,340 --> 00:37:21,940 +That will give the area between minus 0.12 and + +471 +00:37:21,940 --> 00:37:28,860 +zero. This is one-half. Now, B of z less than + +472 +00:37:28,860 --> 00:37:33,270 +negative 0.12. look you go back to the normal + +473 +00:37:33,270 --> 00:37:37,650 +curve to the normal table but for the negative + +474 +00:37:37,650 --> 00:37:42,310 +values of z negative point one two negative point + +475 +00:37:42,310 --> 00:37:53,290 +one two four five two two it's four five point + +476 +00:37:53,290 --> 00:37:56,630 +five minus point four five two two will give the + +477 +00:37:56,630 --> 00:37:58,370 +result we are looking for + +478 +00:38:01,570 --> 00:38:06,370 +So B of Z less than 0 is 0.5. B of Z less than + +479 +00:38:06,370 --> 00:38:12,650 +negative 0.12 equals minus 0.4522. That will give + +480 +00:38:12,650 --> 00:38:14,290 +0 forcibility. + +481 +00:38:16,790 --> 00:38:23,590 +Now, by symmetric, you can see that this + +482 +00:38:23,590 --> 00:38:28,470 +probability between + +483 +00:38:28,470 --> 00:38:38,300 +Z between minus 0.12 and 0 is the same as the + +484 +00:38:38,300 --> 00:38:43,340 +other side from 0.12 I mean this area the red one + +485 +00:38:43,340 --> 00:38:46,200 +is the same up to 8.6 + +486 +00:38:55,600 --> 00:38:58,840 +So the area between minus 0.12 up to 0 is the same + +487 +00:38:58,840 --> 00:39:04,920 +as from 0 up to 0.12. Because of symmetric, since + +488 +00:39:04,920 --> 00:39:09,680 +this area equals the same for the other part. So + +489 +00:39:09,680 --> 00:39:15,660 +from 0 up to 0.12 is the same as minus 0.12 up to + +490 +00:39:15,660 --> 00:39:19,100 +0. So equal, so the normal distribution is + +491 +00:39:19,100 --> 00:39:23,200 +symmetric. So this probability is the same as B of + +492 +00:39:23,200 --> 00:39:27,980 +Z between 0 and 0.12. Any question? + +493 +00:39:34,520 --> 00:39:36,620 +Again, the equal sign does not matter. + +494 +00:39:42,120 --> 00:39:45,000 +Because here we have the complement. The + +495 +00:39:45,000 --> 00:39:49,250 +complement. If this one, I mean, complement of z + +496 +00:39:49,250 --> 00:39:53,350 +less than, greater than 0.12, the complement is B + +497 +00:39:53,350 --> 00:39:56,350 +of z less than or equal to minus 0.12. So we + +498 +00:39:56,350 --> 00:40:00,070 +should have just permutation, the equality. But it + +499 +00:40:00,070 --> 00:40:04,830 +doesn't matter. If in the problem we don't have + +500 +00:40:04,830 --> 00:40:07,470 +equal sign in the complement, we should have equal + +501 +00:40:07,470 --> 00:40:11,430 +sign. But it doesn't matter actually if we have + +502 +00:40:11,430 --> 00:40:14,510 +equal sign or not. For example, if we are looking + +503 +00:40:14,510 --> 00:40:19,430 +for B of X greater than A. Now what's the + +504 +00:40:19,430 --> 00:40:25,950 +complement of that? 1 minus less + +505 +00:40:25,950 --> 00:40:32,450 +than or equal to A. But if X is greater than or + +506 +00:40:32,450 --> 00:40:37,870 +equal to A, the complement is without equal sign. + +507 +00:40:38,310 --> 00:40:40,970 +But in continuous distribution, the equal sign + +508 +00:40:40,970 --> 00:40:44,990 +does not matter. Any question? + +509 +00:40:52,190 --> 00:40:58,130 +comments. Let's move to the next topic which talks + +510 +00:40:58,130 --> 00:41:05,510 +about the empirical rule. If you remember before + +511 +00:41:05,510 --> 00:41:16,750 +we said there is an empirical rule for 68, 95, 95, + +512 +00:41:17,420 --> 00:41:23,060 +99.71. Now let's see the exact meaning of this + +513 +00:41:23,060 --> 00:41:23,320 +rule. + +514 +00:41:37,580 --> 00:41:40,460 +Now we have to apply the empirical rule not to + +515 +00:41:40,460 --> 00:41:43,020 +Chebyshev's inequality because the distribution is + +516 +00:41:43,020 --> 00:41:48,670 +normal. Chebyshev's is applied for skewed + +517 +00:41:48,670 --> 00:41:52,630 +distributions. For symmetric, we have to apply the + +518 +00:41:52,630 --> 00:41:55,630 +empirical rule. Here, we assume the distribution + +519 +00:41:55,630 --> 00:41:58,390 +is normal. And today, we are talking about normal + +520 +00:41:58,390 --> 00:42:01,330 +distribution. So we have to use the empirical + +521 +00:42:01,330 --> 00:42:02,410 +rules. + +522 +00:42:07,910 --> 00:42:13,530 +Now, the mean is the value in the middle. Suppose + +523 +00:42:13,530 --> 00:42:16,900 +we are far away from the mean by one standard + +524 +00:42:16,900 --> 00:42:22,720 +deviation either below or above and we are + +525 +00:42:22,720 --> 00:42:27,040 +interested in the area between this value which is + +526 +00:42:27,040 --> 00:42:33,040 +mu minus sigma so we are looking for mu minus + +527 +00:42:33,040 --> 00:42:36,360 +sigma and mu plus sigma + +528 +00:42:53,270 --> 00:42:59,890 +Last time we said there's a rule 68% of the data + +529 +00:42:59,890 --> 00:43:06,790 +lies one standard deviation within the mean. Now + +530 +00:43:06,790 --> 00:43:10,550 +let's see how can we compute the exact area, area + +531 +00:43:10,550 --> 00:43:15,250 +not just say 68%. Now X has normal distribution + +532 +00:43:15,250 --> 00:43:18,390 +with mean mu and standard deviation sigma. So + +533 +00:43:18,390 --> 00:43:25,280 +let's compare it from normal distribution to + +534 +00:43:25,280 --> 00:43:29,700 +standardized. So this is the first value here. Now + +535 +00:43:29,700 --> 00:43:34,940 +the z-score, the general formula is x minus the + +536 +00:43:34,940 --> 00:43:40,120 +mean divided by sigma. Now the first quantity is + +537 +00:43:40,120 --> 00:43:45,660 +mu minus sigma. So instead of x here, so first z + +538 +00:43:45,660 --> 00:43:49,820 +is, now this x should be replaced by mu minus + +539 +00:43:49,820 --> 00:43:55,040 +sigma. So mu minus sigma. So that's my x value, + +540 +00:43:55,560 --> 00:44:00,240 +minus the mean of that, which is mu, divided by + +541 +00:44:00,240 --> 00:44:07,900 +sigma. Mu minus sigma minus mu mu cancels, so plus + +542 +00:44:07,900 --> 00:44:13,520 +one. And let's see how can we compute that area. I + +543 +00:44:13,520 --> 00:44:16,980 +mean between minus one and plus one. In this case, + +544 +00:44:17,040 --> 00:44:23,180 +we are interested or we are looking for the area + +545 +00:44:23,180 --> 00:44:28,300 +between minus one and plus one this area now the + +546 +00:44:28,300 --> 00:44:31,360 +dashed area I mean the area between minus one and + +547 +00:44:31,360 --> 00:44:39,460 +plus one equals the area below one this area minus + +548 +00:44:39,460 --> 00:44:44,980 +the area below minus one that will give the area + +549 +00:44:44,980 --> 00:44:48,200 +between minus one and plus one now go back to the + +550 +00:44:48,200 --> 00:44:52,500 +normal table you have and look at the value of one + +551 +00:44:52,500 --> 00:45:02,620 +z and one under zero what's your answer one point + +552 +00:45:02,620 --> 00:45:11,520 +one point now without using the table can you tell + +553 +00:45:11,520 --> 00:45:17,360 +the area below minus one one minus this one + +554 +00:45:17,360 --> 00:45:17,840 +because + +555 +00:45:23,430 --> 00:45:29,870 +Now the area below, this is 1. The area below 1 is + +556 +00:45:29,870 --> 00:45:31,310 +0.3413. + +557 +00:45:34,430 --> 00:45:37,590 +Okay, now the area below minus 1. + +558 +00:45:40,770 --> 00:45:42,050 +This is minus 1. + +559 +00:45:46,810 --> 00:45:49,550 +Now, the area below minus 1 is the same as above + +560 +00:45:49,550 --> 00:45:50,510 +1. + +561 +00:45:54,310 --> 00:45:58,810 +These are the two areas here are equal. So the + +562 +00:45:58,810 --> 00:46:03,110 +area below minus 1, I mean b of z less than minus + +563 +00:46:03,110 --> 00:46:09,130 +1 is the same as b of z greater than 1. And b of z + +564 +00:46:09,130 --> 00:46:12,650 +greater than 1 is the same as 1 minus b of z + +565 +00:46:12,650 --> 00:46:17,310 +smaller than 1. So b of z less than 1 here. You + +566 +00:46:17,310 --> 00:46:19,710 +shouldn't need to look again to the table. Just + +567 +00:46:19,710 --> 00:46:26,770 +subtract 1 from this value. Make sense? Here we + +568 +00:46:26,770 --> 00:46:30,490 +compute the value of B of Z less than 1, which is + +569 +00:46:30,490 --> 00:46:35,430 +0.8413. We are looking for B of Z less than minus + +570 +00:46:35,430 --> 00:46:39,770 +1, which is the same as B of Z greater than 1. + +571 +00:46:40,750 --> 00:46:43,850 +Now, greater than means our tail. It's 1 minus the + +572 +00:46:43,850 --> 00:46:48,700 +lower tail probability. So this is 1 minus. So the + +573 +00:46:48,700 --> 00:46:52,240 +answer again is 1 minus 0.8413. + +574 +00:46:54,280 --> 00:47:00,040 +So 8413 minus 0.1587. + +575 +00:47:11,380 --> 00:47:17,030 +So 8413. minus 1.1587. + +576 +00:47:21,630 --> 00:47:27,570 +Okay, so that gives 0.6826. + +577 +00:47:29,090 --> 00:47:37,550 +Multiply this one by 100, we get 68.1826. + +578 +00:47:38,750 --> 00:47:44,010 +So roughly 60-80% of the observations lie between + +579 +00:47:44,010 --> 00:47:50,470 +one standard deviation around the mean. So this is + +580 +00:47:50,470 --> 00:47:53,850 +the way how can we compute the area below one + +581 +00:47:53,850 --> 00:47:57,250 +standard deviation or above one standard deviation + +582 +00:47:57,250 --> 00:48:03,790 +of the mean. Do the same for not mu minus sigma, + +583 +00:48:05,230 --> 00:48:11,540 +mu plus minus two sigma and mu plus two sigma. The + +584 +00:48:11,540 --> 00:48:14,600 +only difference is that this one is going to be + +585 +00:48:14,600 --> 00:48:17,280 +minus 2 and do the same. + +586 +00:48:20,620 --> 00:48:23,080 +That's the empirical rule we discussed in chapter + +587 +00:48:23,080 --> 00:48:28,980 +3. So here we can find any probability, not just + +588 +00:48:28,980 --> 00:48:33,660 +95 or 68 or 99.7. We can use the normal table to + +589 +00:48:33,660 --> 00:48:36,900 +give or to find or to compute any probability. + +590 +00:48:48,270 --> 00:48:53,090 +So again, for the other one, mu plus or minus two + +591 +00:48:53,090 --> 00:49:00,190 +sigma, it covers about 95% of the axis. For mu + +592 +00:49:00,190 --> 00:49:03,750 +plus or minus three sigma, it covers around all + +593 +00:49:03,750 --> 00:49:08,450 +the data, 99.7. So just do it at home, you will + +594 +00:49:08,450 --> 00:49:14,210 +see that the exact area is 95.44 instead of 95. + +595 +00:49:14,840 --> 00:49:18,520 +And the other one is 99.73. So that's the + +596 +00:49:18,520 --> 00:49:23,520 +empirical rule we discussed in chapter three. I'm + +597 +00:49:23,520 --> 00:49:32,560 +going to stop at this point, which is the x value + +598 +00:49:32,560 --> 00:49:38,400 +for the normal probability. Now, what we discussed + +599 +00:49:38,400 --> 00:49:43,560 +so far, we computed the probability. I mean, + +600 +00:49:43,740 --> 00:49:49,120 +what's the probability of X smaller than E? Now, + +601 +00:49:49,200 --> 00:49:56,240 +suppose this probability is known. How can we + +602 +00:49:56,240 --> 00:50:01,500 +compute this value? Later, we'll talk about that. + +603 +00:50:06,300 --> 00:50:09,820 +It's backward calculations. It's inverse or + +604 +00:50:09,820 --> 00:50:11,420 +backward calculation. + +605 +00:50:13,300 --> 00:50:14,460 +for next time inshallah. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/QKT3u32x4wE_raw.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/QKT3u32x4wE_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..8a0eb2cba3af8f3c91886ce721a92566f17fd939 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/QKT3u32x4wE_raw.srt @@ -0,0 +1,2424 @@ +1 +00:00:08,370 --> 00:00:13,950 +Today, inshallah, we'll start chapter six. Chapter + +2 +00:00:13,950 --> 00:00:20,350 +six talks about the normal distribution. In this + +3 +00:00:20,350 --> 00:00:24,810 +chapter, there are mainly two objectives. The + +4 +00:00:24,810 --> 00:00:30,470 +first objective is to compute probabilities from + +5 +00:00:30,470 --> 00:00:34,530 +normal distribution. And mainly we'll focus on + +6 +00:00:34,530 --> 00:00:37,270 +objective number one. So we are going to use + +7 +00:00:37,270 --> 00:00:40,290 +normal distribution in this chapter. And we'll + +8 +00:00:40,290 --> 00:00:43,830 +know how can we compute probabilities if the data + +9 +00:00:43,830 --> 00:00:46,810 +set is normally distributed. You know many times + +10 +00:00:46,810 --> 00:00:50,690 +you talked about extreme points or outliers. So + +11 +00:00:50,690 --> 00:00:54,490 +that means if the data has outliers, that is the + +12 +00:00:54,490 --> 00:00:57,290 +distribution is not normally distributed. Now in + +13 +00:00:57,290 --> 00:01:01,090 +this case, If the distribution is normal, how can + +14 +00:01:01,090 --> 00:01:04,350 +we compute probabilities underneath the normal + +15 +00:01:04,350 --> 00:01:10,030 +curve? The second objective is to use the normal + +16 +00:01:10,030 --> 00:01:13,210 +probability plot to determine whether a set of + +17 +00:01:13,210 --> 00:01:18,150 +data is approximately normally distributed. I mean + +18 +00:01:18,150 --> 00:01:25,550 +beside box plots we discussed before. Beside this + +19 +00:01:25,550 --> 00:01:30,190 +score, how can we tell if the data point or + +20 +00:01:30,190 --> 00:01:35,350 +actually the entire distribution is approximately + +21 +00:01:35,350 --> 00:01:39,410 +normally distributed or not. Before we learn if + +22 +00:01:39,410 --> 00:01:44,110 +the point is outlier by using backsplot and this + +23 +00:01:44,110 --> 00:01:46,750 +score. In this chapter we'll know how can we + +24 +00:01:46,750 --> 00:01:51,630 +determine if the entire distribution is + +25 +00:01:51,630 --> 00:01:54,770 +approximately normal distributed. So there are two + +26 +00:01:54,770 --> 00:01:56,710 +objectives. One is to compute probabilities + +27 +00:01:56,710 --> 00:01:59,370 +underneath the normal curve. The other, how can we + +28 +00:01:59,370 --> 00:02:05,310 +tell if the data set is out or not? If you + +29 +00:02:05,310 --> 00:02:09,330 +remember, first class, we mentioned something + +30 +00:02:09,330 --> 00:02:13,130 +about data types. And we said data has mainly two + +31 +00:02:13,130 --> 00:02:17,930 +types. Numerical data, I mean quantitative data. + +32 +00:02:18,690 --> 00:02:22,630 +and categorical data, qualitative. For numerical + +33 +00:02:22,630 --> 00:02:26,190 +data also it has two types, continuous and + +34 +00:02:26,190 --> 00:02:30,430 +discrete. And discrete takes only integers such as + +35 +00:02:30,430 --> 00:02:35,310 +number of students who take this class or number + +36 +00:02:35,310 --> 00:02:40,190 +of accidents and so on. But if you are talking + +37 +00:02:40,190 --> 00:02:45,320 +about Age, weight, scores, temperature, and so on. + +38 +00:02:45,560 --> 00:02:49,260 +It's continuous distribution. For this type of + +39 +00:02:49,260 --> 00:02:53,320 +variable, I mean for continuous distribution, how + +40 +00:02:53,320 --> 00:02:56,300 +can we compute the probabilities underneath the + +41 +00:02:56,300 --> 00:02:59,640 +normal? So normal distribution maybe is the most + +42 +00:02:59,640 --> 00:03:02,380 +common distribution in statistics, and it's type + +43 +00:03:02,380 --> 00:03:07,820 +of continuous distribution. So first, let's define + +44 +00:03:07,820 --> 00:03:12,010 +continuous random variable. maybe because for + +45 +00:03:12,010 --> 00:03:15,230 +multiple choice problem you should know the + +46 +00:03:15,230 --> 00:03:19,110 +definition of continuous random variable is a + +47 +00:03:19,110 --> 00:03:22,070 +variable that can assume any value on a continuous + +48 +00:03:23,380 --> 00:03:27,020 +it can assume any uncountable number of values. So + +49 +00:03:27,020 --> 00:03:31,080 +it could be any number in an interval. For + +50 +00:03:31,080 --> 00:03:35,720 +example, suppose your ages range between 18 years + +51 +00:03:35,720 --> 00:03:39,580 +and 20 years. So maybe someone of you, their age + +52 +00:03:39,580 --> 00:03:44,000 +is about 18 years, three months. Or maybe your + +53 +00:03:44,000 --> 00:03:47,580 +weight is 70 kilogram point five, and so on. So + +54 +00:03:47,580 --> 00:03:49,780 +it's continuous on the variable. Other examples + +55 +00:03:49,780 --> 00:03:53,140 +for continuous, thickness of an item. For example, + +56 +00:03:53,740 --> 00:03:54,440 +the thickness. + +57 +00:03:58,260 --> 00:04:02,490 +This one is called thickness. Now, the thickness + +58 +00:04:02,490 --> 00:04:05,930 +may be 2 centimeters or 3 centimeters and so on, + +59 +00:04:06,210 --> 00:04:09,730 +but it might be 2.5 centimeters. For example, for + +60 +00:04:09,730 --> 00:04:13,030 +this remote, the thickness is 2.5 centimeters or 2 + +61 +00:04:13,030 --> 00:04:16,510 +.6, not exactly 2 or 3. So it could be any value. + +62 +00:04:16,650 --> 00:04:19,450 +Range is, for example, between 2 centimeters and 3 + +63 +00:04:19,450 --> 00:04:23,010 +centimeters. So from 2 to 3 is a big range because + +64 +00:04:23,010 --> 00:04:25,670 +it can take anywhere from 2.1 to 2.15 and so on. + +65 +00:04:26,130 --> 00:04:28,810 +So thickness is an example of continuous random + +66 +00:04:28,810 --> 00:04:31,190 +variable. Another example, time required to + +67 +00:04:31,190 --> 00:04:36,010 +complete a task. Now suppose you want to do an + +68 +00:04:36,010 --> 00:04:39,710 +exercise. Now the time required to finish or to + +69 +00:04:39,710 --> 00:04:45,150 +complete this task may be any value between 2 + +70 +00:04:45,150 --> 00:04:48,730 +minutes up to 3 minutes. So maybe 2 minutes 30 + +71 +00:04:48,730 --> 00:04:52,150 +seconds, 2 minutes 40 seconds and so on. So it's + +72 +00:04:52,150 --> 00:04:55,550 +continuous random variable. Temperature of a + +73 +00:04:55,550 --> 00:05:00,140 +solution. height, weight, ages, and so on. These + +74 +00:05:00,140 --> 00:05:03,720 +are examples of continuous random variable. So + +75 +00:05:03,720 --> 00:05:08,040 +these variables can potentially take on any value + +76 +00:05:08,040 --> 00:05:11,340 +depending only on the ability to precisely and + +77 +00:05:11,340 --> 00:05:14,020 +accurately measure. So that's the definition of + +78 +00:05:14,020 --> 00:05:17,320 +continuous random variable. Now, if you look at + +79 +00:05:17,320 --> 00:05:21,810 +the normal distribution, It looks like bell + +80 +00:05:21,810 --> 00:05:25,990 +-shaped, as we discussed before. So it's bell + +81 +00:05:25,990 --> 00:05:31,270 +-shaped, symmetrical. Symmetrical means the area + +82 +00:05:31,270 --> 00:05:34,390 +to the right of the mean equals the area to the + +83 +00:05:34,390 --> 00:05:37,950 +left of the mean. I mean 50% of the area above and + +84 +00:05:37,950 --> 00:05:41,770 +50% below. So that's the meaning of symmetrical. + +85 +00:05:42,490 --> 00:05:46,370 +The other feature of normal distribution, the + +86 +00:05:46,370 --> 00:05:49,510 +measures of center tendency are equal or + +87 +00:05:49,510 --> 00:05:53,170 +approximately equal. Mean, median, and mode are + +88 +00:05:53,170 --> 00:05:55,530 +roughly equal. In reality, they are not equal, + +89 +00:05:55,650 --> 00:05:58,210 +exactly equal, but you can say they are + +90 +00:05:58,210 --> 00:06:01,850 +approximately equal. Now, there are two parameters + +91 +00:06:01,850 --> 00:06:05,750 +describing the normal distribution. One is called + +92 +00:06:05,750 --> 00:06:10,820 +the location parameter. location, or central + +93 +00:06:10,820 --> 00:06:13,800 +tendency, as we discussed before, location is + +94 +00:06:13,800 --> 00:06:17,160 +determined by the mean mu. So the first parameter + +95 +00:06:17,160 --> 00:06:20,340 +for the normal distribution is the mean mu. The + +96 +00:06:20,340 --> 00:06:24,240 +other parameter measures the spread of the data, + +97 +00:06:24,280 --> 00:06:27,680 +or the variability of the data, and the spread is + +98 +00:06:27,680 --> 00:06:31,860 +sigma, or the variation. So we have two + +99 +00:06:31,860 --> 00:06:36,770 +parameters, mu and sigma. The random variable in + +100 +00:06:36,770 --> 00:06:39,930 +this case can take any value from minus infinity + +101 +00:06:39,930 --> 00:06:44,270 +up to infinity. So random variable in this case + +102 +00:06:44,270 --> 00:06:50,310 +continuous ranges from minus infinity all the way + +103 +00:06:50,310 --> 00:06:55,100 +up to infinity. I mean from this point here up to + +104 +00:06:55,100 --> 00:06:58,380 +infinity. So the values range from minus infinity + +105 +00:06:58,380 --> 00:07:02,080 +up to infinity. And if you look here, the mean is + +106 +00:07:02,080 --> 00:07:05,600 +located nearly in the middle. And mean and median + +107 +00:07:05,600 --> 00:07:10,820 +are all approximately equal. That's the features + +108 +00:07:10,820 --> 00:07:14,740 +or the characteristics of the normal distribution. + +109 +00:07:16,460 --> 00:07:20,360 +Now, how can we compute the probabilities under + +110 +00:07:20,360 --> 00:07:25,840 +the normal killer? The formula that is used to + +111 +00:07:25,840 --> 00:07:29,220 +compute the probabilities is given by this one. It + +112 +00:07:29,220 --> 00:07:33,560 +looks complicated formula because we have to use + +113 +00:07:33,560 --> 00:07:36,040 +calculus in order to determine the area underneath + +114 +00:07:36,040 --> 00:07:40,120 +the cube. So we are looking for something else. So + +115 +00:07:40,120 --> 00:07:45,300 +this formula is it seems to be complicated. It's + +116 +00:07:45,300 --> 00:07:49,600 +not hard but it's complicated one, but we can use + +117 +00:07:49,600 --> 00:07:52,380 +it. If we know calculus very well, we can use + +118 +00:07:52,380 --> 00:07:55,240 +integration to create the probabilities underneath + +119 +00:07:55,240 --> 00:07:58,900 +the curve. But for our course, we are going to + +120 +00:07:58,900 --> 00:08:04,460 +skip this formula because this + +121 +00:08:04,460 --> 00:08:09,340 +formula depends actually on mu and sigma. A mu can + +122 +00:08:09,340 --> 00:08:13,110 +take any value. Sigma also can take any value. + +123 +00:08:13,930 --> 00:08:17,310 +That means we have different normal distributions. + +124 +00:08:18,470 --> 00:08:23,830 +Because the distribution actually depends on these + +125 +00:08:23,830 --> 00:08:27,610 +two parameters. So by varying the parameters mu + +126 +00:08:27,610 --> 00:08:29,790 +and sigma, we obtain different normal + +127 +00:08:29,790 --> 00:08:32,710 +distributions. Since we have different mu and + +128 +00:08:32,710 --> 00:08:36,310 +sigma, it means we should have different normal + +129 +00:08:36,310 --> 00:08:38,770 +distributions. For this reason, it's very + +130 +00:08:38,770 --> 00:08:43,430 +complicated to have tables or probability tables + +131 +00:08:43,430 --> 00:08:46,010 +in order to determine these probabilities because + +132 +00:08:46,010 --> 00:08:50,130 +there are infinite values of mu and sigma maybe + +133 +00:08:50,130 --> 00:08:57,750 +your edges the mean is 19. Sigma is, for example, + +134 +00:08:57,910 --> 00:09:01,990 +5. For weights, maybe the mean is 70 kilograms, + +135 +00:09:02,250 --> 00:09:04,990 +the average is 10. For scores, maybe the average + +136 +00:09:04,990 --> 00:09:08,710 +is 65, the mean is 20, sigma is 20, and so on. So + +137 +00:09:08,710 --> 00:09:11,090 +we have different values of mu and sigma. For this + +138 +00:09:11,090 --> 00:09:13,650 +reason, we have different normal distributions. + +139 +00:09:18,490 --> 00:09:25,740 +Because changing mu shifts the distribution either + +140 +00:09:25,740 --> 00:09:29,640 +left or to the right. So maybe the mean is shifted + +141 +00:09:29,640 --> 00:09:32,440 +to the right side, or the mean maybe shifted to + +142 +00:09:32,440 --> 00:09:37,140 +the left side. Also, changing sigma, sigma is the + +143 +00:09:37,140 --> 00:09:40,660 +distance between the mu and the curve. The curve + +144 +00:09:40,660 --> 00:09:45,220 +is the points, or the data values. Now this sigma + +145 +00:09:45,220 --> 00:09:48,380 +can be increases or decreases. So if sigma + +146 +00:09:48,380 --> 00:09:52,860 +increases, it means the spread also increases. Or + +147 +00:09:52,860 --> 00:09:55,780 +if sigma decreases, also the spread will decrease. + +148 +00:09:56,200 --> 00:09:59,660 +So the distribution or the normal distribution + +149 +00:09:59,660 --> 00:10:02,820 +depends actually on these two values. For this + +150 +00:10:02,820 --> 00:10:05,120 +reason, since we have too many values or infinite + +151 +00:10:05,120 --> 00:10:07,600 +values of mu and sigma, then in this case we have + +152 +00:10:07,600 --> 00:10:14,500 +different normal distributions. There is another + +153 +00:10:14,500 --> 00:10:16,940 +distribution. It's called standardized normal. + +154 +00:10:20,330 --> 00:10:26,070 +Now, we have normal distribution X, and how can we + +155 +00:10:26,070 --> 00:10:31,930 +transform from normal distribution to standardized + +156 +00:10:31,930 --> 00:10:35,310 +normal distribution? The reason is that the mean + +157 +00:10:35,310 --> 00:10:40,310 +of Z, I mean, Z is used for standardized normal. + +158 +00:10:40,850 --> 00:10:44,490 +The mean of Z is always zero, and sigma is one. + +159 +00:10:45,770 --> 00:10:48,150 +Now it's a big difference. The first one has + +160 +00:10:48,150 --> 00:10:53,160 +infinite values of Mu and Sigma. Now, for the + +161 +00:10:53,160 --> 00:10:56,200 +standardized normal distribution, the mean is + +162 +00:10:56,200 --> 00:11:01,540 +fixed value. The mean is zero, Sigma is one. So, + +163 +00:11:01,620 --> 00:11:04,340 +the question is, how can we actually transform + +164 +00:11:04,340 --> 00:11:09,720 +from X, which has normal distribution, to Z, which + +165 +00:11:09,720 --> 00:11:13,160 +has standardized normal with mean zero and Sigma + +166 +00:11:13,160 --> 00:11:23,330 +of one. Let's see. How can we translate x which + +167 +00:11:23,330 --> 00:11:27,510 +has normal distribution to z that has standardized + +168 +00:11:27,510 --> 00:11:32,190 +normal distribution? The idea is you have just to + +169 +00:11:32,190 --> 00:11:39,170 +subtract mu of x, x minus mu, then divide this + +170 +00:11:39,170 --> 00:11:43,150 +result by sigma. So we just subtract the mean of + +171 +00:11:43,150 --> 00:11:49,660 +x. and dividing by its standard deviation now so + +172 +00:11:49,660 --> 00:11:52,360 +if we have x which has normal distribution with + +173 +00:11:52,360 --> 00:11:55,940 +mean mu and standard deviation sigma to transform + +174 +00:11:55,940 --> 00:12:00,960 +or to convert to z score use this formula x minus + +175 +00:12:00,960 --> 00:12:05,220 +the mean then divide by its standard deviation now + +176 +00:12:05,220 --> 00:12:09,090 +all of the time we are going to use z for + +177 +00:12:09,090 --> 00:12:12,230 +standardized normal distribution and always z has + +178 +00:12:12,230 --> 00:12:15,370 +mean zero and all and sigma or standard deviation. + +179 +00:12:16,250 --> 00:12:20,170 +So the z distribution always has mean of zero and + +180 +00:12:20,170 --> 00:12:25,490 +sigma of one. So that's the story of standardizing + +181 +00:12:25,490 --> 00:12:33,070 +the normal value. Now the Formula for this score + +182 +00:12:33,070 --> 00:12:37,570 +becomes better than the first one, but still we + +183 +00:12:37,570 --> 00:12:40,570 +have to use calculus in order to determine the + +184 +00:12:40,570 --> 00:12:45,710 +probabilities under the standardized normal k. But + +185 +00:12:45,710 --> 00:12:49,470 +this distribution has mean of zero and sigma of + +186 +00:12:49,470 --> 00:12:56,910 +one. So we have a table on page 570. Look at page + +187 +00:12:56,910 --> 00:13:00,910 +570. We have table or actually there are two + +188 +00:13:00,910 --> 00:13:05,010 +tables. One for negative value of Z and the other + +189 +00:13:05,010 --> 00:13:08,830 +for positive value of Z. So we have two tables for + +190 +00:13:08,830 --> 00:13:14,730 +positive and negative values of Z on page 570 and + +191 +00:13:14,730 --> 00:13:15,470 +571. + +192 +00:13:17,870 --> 00:13:22,770 +Now the table on page 570 looks like this one. The + +193 +00:13:22,770 --> 00:13:26,610 +table you have starts from minus 6, then minus 5, + +194 +00:13:26,750 --> 00:13:32,510 +minus 4.5, and so on. Here we start from minus 3.4 + +195 +00:13:32,510 --> 00:13:38,850 +all the way down up to 0. Look here, all the way + +196 +00:13:38,850 --> 00:13:44,490 +up to 0. So these scores here. Also we have 0.00, + +197 +00:13:44,610 --> 00:13:51,880 +0.01, up to 0.09. Also, the other page, page 571, + +198 +00:13:52,140 --> 00:13:56,940 +gives the area for positive z values. Here we have + +199 +00:13:56,940 --> 00:14:01,760 +0.0, 0.1, 0.2, all the way down up to 3.4 and you + +200 +00:14:01,760 --> 00:14:05,920 +have up to 6. Now let's see how can we use this + +201 +00:14:05,920 --> 00:14:11,020 +table to compute the probabilities underneath the + +202 +00:14:11,020 --> 00:14:12,460 +normal curve. + +203 +00:14:14,940 --> 00:14:19,190 +First of all, you have to know that Z has mean + +204 +00:14:19,190 --> 00:14:23,750 +zero, standard deviation of one. And the values + +205 +00:14:23,750 --> 00:14:26,610 +could be positive or negative. Values above the + +206 +00:14:26,610 --> 00:14:32,850 +mean, zero, have positive Z values. The other one, + +207 +00:14:32,910 --> 00:14:36,690 +values below the mean, have negative Z values. So + +208 +00:14:36,690 --> 00:14:42,770 +Z score can be negative or positive. Now this is + +209 +00:14:42,770 --> 00:14:46,530 +the formula we have, z equals x minus mu divided + +210 +00:14:46,530 --> 00:14:46,990 +by six. + +211 +00:14:52,810 --> 00:15:01,170 +Now this value could be positive if x is above the + +212 +00:15:01,170 --> 00:15:04,810 +mean, as we mentioned before. It could be a + +213 +00:15:04,810 --> 00:15:09,870 +negative if x is smaller than the mean or zero. + +214 +00:15:13,120 --> 00:15:18,140 +Now the table we have gives the area to the right, + +215 +00:15:18,420 --> 00:15:21,240 +to the left, I'm sorry, to the left, for positive + +216 +00:15:21,240 --> 00:15:26,220 +and negative values of z. Okay, so we have two + +217 +00:15:26,220 --> 00:15:32,160 +tables actually, one for negative on page 570, and + +218 +00:15:32,160 --> 00:15:38,260 +the other one for positive values of z. I think we + +219 +00:15:38,260 --> 00:15:41,060 +discussed that before when we talked about these + +220 +00:15:41,060 --> 00:15:44,080 +scores. We have the same formula. + +221 +00:15:47,120 --> 00:15:53,700 +Now let's look at this, the next slide. Suppose x + +222 +00:15:53,700 --> 00:16:01,880 +is distributed normally with mean of 100. So the + +223 +00:16:01,880 --> 00:16:06,470 +mean of x is 100. and the standard deviation of + +224 +00:16:06,470 --> 00:16:11,110 +50. So sigma is 50. Now let's see how can we + +225 +00:16:11,110 --> 00:16:17,750 +compute the z-score for x equals 200. Again the + +226 +00:16:17,750 --> 00:16:22,790 +formula is just x minus mu divided by sigma x 200 + +227 +00:16:22,790 --> 00:16:28,330 +minus 100 divided by 50 that will give 2. Now the + +228 +00:16:28,330 --> 00:16:33,910 +sign of this value is positive That means x is + +229 +00:16:33,910 --> 00:16:37,950 +greater than the mean, because x is 200. Now, + +230 +00:16:37,990 --> 00:16:42,270 +what's the meaning of 2? What does this value tell + +231 +00:16:42,270 --> 00:16:42,410 +you? + +232 +00:16:48,230 --> 00:16:55,430 +Yeah, exactly. x equals 200 is two standard + +233 +00:16:55,430 --> 00:16:58,690 +deviations above the mean. Because if you look at + +234 +00:16:58,690 --> 00:17:05,210 +200, the x value, The mean is 100, sigma is 50. + +235 +00:17:05,730 --> 00:17:09,690 +Now the difference between the score, which is + +236 +00:17:09,690 --> 00:17:16,810 +200, and the mu, which is 100, is equal to + +237 +00:17:16,810 --> 00:17:18,690 +standard deviations, because the difference is + +238 +00:17:18,690 --> 00:17:24,230 +100. 2 times 50 is 100. So this says that x equals + +239 +00:17:24,230 --> 00:17:29,070 +200 is 2 standard deviations above the mean. If z + +240 +00:17:29,070 --> 00:17:34,330 +is negative, you can say that x is two standard + +241 +00:17:34,330 --> 00:17:38,710 +deviations below them. Make sense? So that's how + +242 +00:17:38,710 --> 00:17:42,670 +can we compute the z square. Now, when we + +243 +00:17:42,670 --> 00:17:45,970 +transform from normal distribution to + +244 +00:17:45,970 --> 00:17:49,490 +standardized, still we will have the same shape. I + +245 +00:17:49,490 --> 00:17:51,350 +mean the distribution is still normally + +246 +00:17:51,350 --> 00:17:55,800 +distributed. So note, the shape of the + +247 +00:17:55,800 --> 00:17:58,840 +distribution is the same, only the scale has + +248 +00:17:58,840 --> 00:18:04,500 +changed. So we can express the problem in original + +249 +00:18:04,500 --> 00:18:10,640 +units, X, or in a standardized unit, Z. So when we + +250 +00:18:10,640 --> 00:18:16,620 +have X, just use this equation to transform to + +251 +00:18:16,620 --> 00:18:17,160 +this form. + +252 +00:18:21,360 --> 00:18:23,200 +Now, for example, suppose we have normal + +253 +00:18:23,200 --> 00:18:26,040 +distribution and we are interested in the area + +254 +00:18:26,040 --> 00:18:32,660 +between A and B. Now, the area between A and B, it + +255 +00:18:32,660 --> 00:18:34,700 +means the probability between them. So + +256 +00:18:34,700 --> 00:18:39,140 +statistically speaking, area means probability. So + +257 +00:18:39,140 --> 00:18:42,700 +probability between A and B, I mean probability of + +258 +00:18:42,700 --> 00:18:45,380 +X greater than or equal A and less than or equal B + +259 +00:18:45,380 --> 00:18:49,420 +is the same as X greater than A or less than B. + +260 +00:18:50,450 --> 00:18:57,210 +that means the probability of X equals A this + +261 +00:18:57,210 --> 00:19:02,510 +probability is zero or probability of X equals B + +262 +00:19:02,510 --> 00:19:06,930 +is also zero so in continuous distribution the + +263 +00:19:06,930 --> 00:19:10,630 +equal sign does not matter I mean if we have equal + +264 +00:19:10,630 --> 00:19:15,130 +sign or we don't have these probabilities are the + +265 +00:19:15,130 --> 00:19:19,390 +same so I mean for example if we are interested + +266 +00:19:20,310 --> 00:19:23,450 +for probability of X smaller than or equal to E. + +267 +00:19:24,850 --> 00:19:30,370 +This probability is the same as X smaller than E. + +268 +00:19:31,330 --> 00:19:33,730 +Or on the other hand, if you are interested in the + +269 +00:19:33,730 --> 00:19:39,010 +area above B greater than or equal to B, it's the + +270 +00:19:39,010 --> 00:19:44,770 +same as X smaller than E. So don't worry about the + +271 +00:19:44,770 --> 00:19:48,660 +equal sign. Or continuous distribution, exactly. + +272 +00:19:49,120 --> 00:19:53,820 +But for discrete, it does matter. Now, since we + +273 +00:19:53,820 --> 00:19:58,200 +are talking about normal distribution, and as we + +274 +00:19:58,200 --> 00:20:01,320 +mentioned, normal distribution is symmetric around + +275 +00:20:01,320 --> 00:20:05,900 +the mean, that means the area to the right equals + +276 +00:20:05,900 --> 00:20:09,340 +the area to the left. Now the entire area + +277 +00:20:09,340 --> 00:20:12,940 +underneath the normal curve equals one. I mean + +278 +00:20:12,940 --> 00:20:16,500 +probability of X ranges from minus infinity up to + +279 +00:20:16,500 --> 00:20:21,500 +infinity equals one. So probability of X greater + +280 +00:20:21,500 --> 00:20:26,920 +than minus infinity up to infinity is one. The + +281 +00:20:26,920 --> 00:20:31,480 +total area is one. So the area from minus infinity + +282 +00:20:31,480 --> 00:20:38,080 +up to the mean mu is one-half. The same as the + +283 +00:20:38,080 --> 00:20:42,600 +area from mu up to infinity is also one-half. That + +284 +00:20:42,600 --> 00:20:44,760 +means the probability of X greater than minus + +285 +00:20:44,760 --> 00:20:48,300 +infinity up to mu equals the probability from mu + +286 +00:20:48,300 --> 00:20:52,120 +up to infinity because of symmetry. I mean you + +287 +00:20:52,120 --> 00:20:56,160 +cannot say that for any distribution. Just for + +288 +00:20:56,160 --> 00:20:59,000 +symmetric distribution, the area below the mean + +289 +00:20:59,000 --> 00:21:03,780 +equals one-half, which is the same as the area to + +290 +00:21:03,780 --> 00:21:07,110 +the right of the mean. So the entire Probability + +291 +00:21:07,110 --> 00:21:11,330 +is one. And also you have to keep in mind that the + +292 +00:21:11,330 --> 00:21:17,570 +probability always ranges between zero and one. So + +293 +00:21:17,570 --> 00:21:20,030 +that means the probability couldn't be negative. + +294 +00:21:22,870 --> 00:21:27,730 +It should be positive. It shouldn't be greater + +295 +00:21:27,730 --> 00:21:31,710 +than one. So it's between zero and one. So always + +296 +00:21:31,710 --> 00:21:39,020 +the probability lies between zero and one. The + +297 +00:21:39,020 --> 00:21:44,500 +tables we have on page 570 and 571 give the area + +298 +00:21:44,500 --> 00:21:46,040 +to the left side. + +299 +00:21:49,420 --> 00:21:54,660 +For negative or positive z's. Now for example, + +300 +00:21:54,940 --> 00:22:03,060 +suppose we are looking for probability of z less + +301 +00:22:03,060 --> 00:22:08,750 +than 2. How can we find this probability by using + +302 +00:22:08,750 --> 00:22:12,210 +the normal curve? Let's go back to this normal + +303 +00:22:12,210 --> 00:22:16,410 +distribution. In the second page, we have positive + +304 +00:22:16,410 --> 00:22:17,070 +z-scores. + +305 +00:22:23,850 --> 00:22:33,390 +So we ask about the probability of z less than. So + +306 +00:22:33,390 --> 00:22:40,690 +the second page, gives positive values of z. And + +307 +00:22:40,690 --> 00:22:44,590 +the table gives the area below. And he asked about + +308 +00:22:44,590 --> 00:22:49,550 +here, B of z is smaller than 2. Now 2, if you + +309 +00:22:49,550 --> 00:22:54,910 +hear, up all the way down here, 2, 0, 0. So the + +310 +00:22:54,910 --> 00:23:00,530 +answer is 9772. So this value, so the probability + +311 +00:23:00,530 --> 00:23:02,130 +is 9772. + +312 +00:23:03,990 --> 00:23:05,390 +Because it's 2. + +313 +00:23:09,510 --> 00:23:14,650 +It's 2, 0, 0. But if you ask about what's the + +314 +00:23:14,650 --> 00:23:20,590 +probability of Z less than 2.05? So this is 2. + +315 +00:23:23,810 --> 00:23:30,370 +Now under 5, 9, 7, 9, 8. So the answer is 9, 7. + +316 +00:23:34,360 --> 00:23:38,900 +Because this is two, and we need five decimal + +317 +00:23:38,900 --> 00:23:44,820 +places. So all the way up to 9798. So this value + +318 +00:23:44,820 --> 00:23:54,380 +is 2.05. Now it's about, it's more than 1.5, + +319 +00:23:55,600 --> 00:23:56,880 +exactly 1.5. + +320 +00:24:02,140 --> 00:24:04,880 +1.5. This is 1.5. + +321 +00:24:08,800 --> 00:24:09,720 +9332. + +322 +00:24:12,440 --> 00:24:16,300 +1.5. Exactly 1.5. So 9332. + +323 +00:24:18,780 --> 00:24:27,990 +What's about probability less than 1.35? 1.3 all + +324 +00:24:27,990 --> 00:24:35,250 +the way to 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +325 +00:24:35,250 --> 00:24:35,650 +.115. 9.115. + +326 +00:24:41,170 --> 00:24:42,430 +9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +327 +00:24:42,430 --> 00:24:42,450 +.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +328 +00:24:42,450 --> 00:24:42,450 +.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +329 +00:24:42,450 --> 00:24:44,050 +.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +330 +00:24:44,050 --> 00:24:50,530 +.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9.115. 9 + +331 +00:24:50,530 --> 00:24:54,980 +.115. 9. But here we are looking for the area to + +332 +00:24:54,980 --> 00:25:01,280 +the right. One minus one. Now this area equals + +333 +00:25:01,280 --> 00:25:05,660 +one minus because + +334 +00:25:05,660 --> 00:25:11,420 +since suppose + +335 +00:25:11,420 --> 00:25:18,760 +this is the 1.35 and we are interested in the area + +336 +00:25:18,760 --> 00:25:24,030 +to the right or above 1.35. The table gives the + +337 +00:25:24,030 --> 00:25:28,230 +area below. So the area above equals the total + +338 +00:25:28,230 --> 00:25:31,970 +area underneath the curve is 1. So 1 minus this + +339 +00:25:31,970 --> 00:25:39,050 +value, so equals 0.0885, + +340 +00:25:39,350 --> 00:25:42,250 +and so on. So this is the way how can we compute + +341 +00:25:42,250 --> 00:25:47,850 +the probabilities underneath the normal curve. if + +342 +00:25:47,850 --> 00:25:51,090 +it's probability of z is smaller than then just + +343 +00:25:51,090 --> 00:25:55,910 +use the table directly otherwise if we are talking + +344 +00:25:55,910 --> 00:26:00,390 +about z greater than subtract from one to get the + +345 +00:26:00,390 --> 00:26:04,870 +result that's how can we compute the probability + +346 +00:26:04,870 --> 00:26:13,750 +of z less than or equal now + +347 +00:26:13,750 --> 00:26:18,890 +let's see if we have x and x that has normal + +348 +00:26:18,890 --> 00:26:22,070 +distribution with mean mu and standard deviation + +349 +00:26:22,070 --> 00:26:26,250 +of sigma and let's see how can we compute the + +350 +00:26:26,250 --> 00:26:33,790 +value of the probability mainly + +351 +00:26:33,790 --> 00:26:38,190 +there are three steps to find the probability of x + +352 +00:26:38,190 --> 00:26:42,490 +greater than a and less than b when x is + +353 +00:26:42,490 --> 00:26:47,000 +distributed normally first step Draw normal curve + +354 +00:26:47,000 --> 00:26:54,880 +for the problem in terms of x. So draw the normal + +355 +00:26:54,880 --> 00:26:58,140 +curve first. Second, translate x values to z + +356 +00:26:58,140 --> 00:27:03,040 +values by using the formula we have. z x minus mu + +357 +00:27:03,040 --> 00:27:06,440 +divided by sigma. Then use the standardized normal + +358 +00:27:06,440 --> 00:27:15,140 +table on page 570 and 571. For example, Let's see + +359 +00:27:15,140 --> 00:27:18,420 +how can we find normal probabilities. Let's assume + +360 +00:27:18,420 --> 00:27:23,760 +that X represents the time it takes to download an + +361 +00:27:23,760 --> 00:27:28,580 +image from the internet. So suppose X, time + +362 +00:27:28,580 --> 00:27:33,760 +required to download an image file from the + +363 +00:27:33,760 --> 00:27:38,460 +internet. And suppose we know that the time is + +364 +00:27:38,460 --> 00:27:42,060 +normally distributed for with mean of eight + +365 +00:27:42,060 --> 00:27:46,130 +minutes. And standard deviation of five minutes. + +366 +00:27:46,490 --> 00:27:47,510 +So we know the mean. + +367 +00:27:50,610 --> 00:27:59,670 +Eight. Eight. And sigma of five minutes. And they + +368 +00:27:59,670 --> 00:28:03,410 +ask about what's the probability of X smaller than + +369 +00:28:03,410 --> 00:28:07,990 +eight one six. So first thing we have to compute, + +370 +00:28:08,170 --> 00:28:12,190 +to draw the normal curve. The mean lies in the + +371 +00:28:12,190 --> 00:28:18,060 +center. which is 8. He asked about probability of + +372 +00:28:18,060 --> 00:28:22,580 +X smaller than 8.6. So we are interested in the + +373 +00:28:22,580 --> 00:28:27,920 +area below 8.6. So it matched the table we have. + +374 +00:28:29,980 --> 00:28:34,900 +Second step, we have to transform from normal + +375 +00:28:34,900 --> 00:28:37,280 +distribution to standardized normal distribution + +376 +00:28:37,280 --> 00:28:42,120 +by using this form, which is X minus mu divided by + +377 +00:28:42,120 --> 00:28:51,430 +sigma. So x is 8.6 minus the mean, 8, divided by + +378 +00:28:51,430 --> 00:28:57,130 +sigma, gives 0.12. So just straightforward + +379 +00:28:57,130 --> 00:29:02,890 +calculation, 8.6 is your value of x. The mean is + +380 +00:29:02,890 --> 00:29:12,810 +8, sigma is 5, so that gives 0.12. So now, the + +381 +00:29:12,810 --> 00:29:17,210 +problem becomes, instead of asking x smaller than + +382 +00:29:17,210 --> 00:29:25,110 +8.6, it's similar to z less than 0.12. Still, we + +383 +00:29:25,110 --> 00:29:26,310 +have the same normal curve. + +384 +00:29:29,450 --> 00:29:32,990 +8, the mean. Now, the mean of z is 0, as we + +385 +00:29:32,990 --> 00:29:39,230 +mentioned. Instead of x, 8.6, the corresponding z + +386 +00:29:39,230 --> 00:29:43,000 +value is 0.12. So instead of finding probability + +387 +00:29:43,000 --> 00:29:48,580 +of X smaller than 8.6, smaller than 1.12, so they + +388 +00:29:48,580 --> 00:29:53,760 +are equivalent. So we transform here from normal + +389 +00:29:53,760 --> 00:29:56,980 +distribution to standardized normal distribution + +390 +00:29:56,980 --> 00:29:59,980 +in order to compute the probability we are looking + +391 +00:29:59,980 --> 00:30:05,820 +for. Now, this is just a portion of the table we + +392 +00:30:05,820 --> 00:30:06,100 +have. + +393 +00:30:10,530 --> 00:30:18,530 +So for positive z values. Now 0.1 is 0.1. Because + +394 +00:30:18,530 --> 00:30:25,670 +here we are looking for z less than 0.1. So 0.1. + +395 +00:30:27,210 --> 00:30:32,950 +Also, we have two. So move up to two decimal + +396 +00:30:32,950 --> 00:30:38,190 +places, we get this value. So the answer is point. + +397 +00:30:42,120 --> 00:30:45,860 +I think it's straightforward to compute the + +398 +00:30:45,860 --> 00:30:49,460 +probability underneath the normal curve if X has + +399 +00:30:49,460 --> 00:30:53,160 +normal distribution. So B of X is smaller than 8.6 + +400 +00:30:53,160 --> 00:30:56,740 +is the same as B of Z less than 0.12, which is + +401 +00:30:56,740 --> 00:31:02,680 +around 55%. Makes sense because the area to the + +402 +00:31:02,680 --> 00:31:07,080 +left of 0 equals 1 half. But we are looking for + +403 +00:31:07,080 --> 00:31:12,440 +the area below 0.12. So greater than zero. So this + +404 +00:31:12,440 --> 00:31:16,600 +area actually is greater than 0.5. So it makes + +405 +00:31:16,600 --> 00:31:20,440 +sense that your result is greater than 0.5. + +406 +00:31:22,320 --> 00:31:22,960 +Questions? + +407 +00:31:25,480 --> 00:31:30,780 +Next, suppose we are interested of probability of + +408 +00:31:30,780 --> 00:31:35,380 +X greater than. So that's how can we find normal + +409 +00:31:35,380 --> 00:31:41,980 +upper tail probabilities. Again, the table we have + +410 +00:31:41,980 --> 00:31:46,580 +gives the area to the left. In order to compute + +411 +00:31:46,580 --> 00:31:50,880 +the area in the upper tail probabilities, I mean + +412 +00:31:50,880 --> 00:31:55,620 +this area, since the normal distribution is + +413 +00:31:55,620 --> 00:32:00,160 +symmetric and The total area underneath the curve + +414 +00:32:00,160 --> 00:32:04,680 +is 1. So the probability of X greater than 8.6 is + +415 +00:32:04,680 --> 00:32:11,640 +the same as 1 minus B of X less than 8.6. So first + +416 +00:32:11,640 --> 00:32:17,020 +step, just find the probability we just have and + +417 +00:32:17,020 --> 00:32:21,680 +subtract from 1. So B of X greater than 8.6, the + +418 +00:32:21,680 --> 00:32:25,930 +same as B of Z greater than 0.12. which is the + +419 +00:32:25,930 --> 00:32:30,370 +same as 1 minus B of Z less than 0.5. It's 1 minus + +420 +00:32:30,370 --> 00:32:36,230 +the result we got from previous one. So this value + +421 +00:32:36,230 --> 00:32:39,410 +1 minus this value gives 0.452. + +422 +00:32:41,610 --> 00:32:45,090 +So for the other tail probability, just subtract 1 + +423 +00:32:45,090 --> 00:32:47,690 +from the lower tail probabilities. + +424 +00:32:51,930 --> 00:32:55,750 +Now let's see how can we find Normal probability + +425 +00:32:55,750 --> 00:33:01,750 +between two values. I mean if X, for example, for + +426 +00:33:01,750 --> 00:33:06,610 +the same data we have, suppose X between 8 and 8 + +427 +00:33:06,610 --> 00:33:13,360 +.6. Now what's the area between these two? Here we + +428 +00:33:13,360 --> 00:33:17,220 +have two values of x, x is 8 and x is 8.6. + +429 +00:33:24,280 --> 00:33:33,780 +Exactly, so below 8.6 minus below 8 and below 8 is + +430 +00:33:33,780 --> 00:33:40,840 +1 half. So the probability of x between 8 + +431 +00:33:40,840 --> 00:33:47,340 +and And 8.2 and 8.6. You can find z-score for the + +432 +00:33:47,340 --> 00:33:52,480 +first value, which is zero. Also compute the z + +433 +00:33:52,480 --> 00:33:55,540 +-score for the other value, which as we computed + +434 +00:33:55,540 --> 00:34:01,580 +before, 0.12. Now this problem becomes z between + +435 +00:34:01,580 --> 00:34:04,540 +zero and 0.5. + +436 +00:34:07,480 --> 00:34:15,120 +So B of x. Greater than 8 and smaller than 8.6 is + +437 +00:34:15,120 --> 00:34:20,800 +the same as z between 0 and 0.12. Now this area + +438 +00:34:20,800 --> 00:34:25,320 +equals b of z smaller than 0.12 minus the area + +439 +00:34:25,320 --> 00:34:26,520 +below z which is 1.5. + +440 +00:34:31,100 --> 00:34:37,380 +So again, b of z between 0 and 1.5 equal b of z + +441 +00:34:37,380 --> 00:34:42,840 +small. larger than 0.12 minus b of z less than + +442 +00:34:42,840 --> 00:34:46,520 +zero. Now, b of z less than 0.12 gives this + +443 +00:34:46,520 --> 00:34:53,060 +result, 0.5478. The probability below zero is one + +444 +00:34:53,060 --> 00:34:56,160 +-half because we know that the area to the left is + +445 +00:34:56,160 --> 00:34:59,320 +zero, same as to the right is one-half. So the + +446 +00:34:59,320 --> 00:35:04,240 +answer is going to be 0.478. So that's how can we + +447 +00:35:04,240 --> 00:35:07,540 +compute the probabilities for lower 10 directly + +448 +00:35:07,540 --> 00:35:12,230 +from the table. upper tail is just one minus lower + +449 +00:35:12,230 --> 00:35:18,990 +tail and between two values just subtracts the + +450 +00:35:18,990 --> 00:35:21,970 +larger one minus smaller one because he was + +451 +00:35:21,970 --> 00:35:26,310 +subtracted bz less than point one minus bz less + +452 +00:35:26,310 --> 00:35:29,430 +than or equal to zero that will give the normal + +453 +00:35:29,430 --> 00:35:36,850 +probability another example suppose we are looking + +454 +00:35:36,850 --> 00:35:49,350 +for X between 7.4 and 8. Now, 7.4 lies below the + +455 +00:35:49,350 --> 00:35:55,270 +mean. So here, this value, we have to compute the + +456 +00:35:55,270 --> 00:36:00,130 +z-score for 7.4 and also the z-score for 8, which + +457 +00:36:00,130 --> 00:36:04,090 +is zero. And that will give, again, + +458 +00:36:07,050 --> 00:36:13,710 +7.4, if you just use this equation, minus + +459 +00:36:13,710 --> 00:36:17,690 +the mean, divided by sigma, negative 0.6 divided + +460 +00:36:17,690 --> 00:36:21,150 +by 5, which is negative 0.12. + +461 +00:36:22,730 --> 00:36:31,410 +So it gives B of z between minus 0.12 and 0. And + +462 +00:36:31,410 --> 00:36:35,700 +that again is B of z less than 0. minus P of Z + +463 +00:36:35,700 --> 00:36:40,140 +less than negative 0.12. Is it clear? Now here we + +464 +00:36:40,140 --> 00:36:42,260 +converted or we transformed from normal + +465 +00:36:42,260 --> 00:36:45,960 +distribution to standardized. So instead of X + +466 +00:36:45,960 --> 00:36:52,100 +between 7.4 and 8, we have now Z between minus 0 + +467 +00:36:52,100 --> 00:36:57,480 +.12 and 0. So this area actually is the red one, + +468 +00:36:57,620 --> 00:37:03,740 +the red area is one-half. Total area below z is + +469 +00:37:03,740 --> 00:37:10,700 +one-half, below zero, and minus z below minus 0 + +470 +00:37:10,700 --> 00:37:17,820 +.12. So B of z less than zero minus negative 0.12. + +471 +00:37:18,340 --> 00:37:21,940 +That will give the area between minus 0.12 and + +472 +00:37:21,940 --> 00:37:28,860 +zero. This is one-half. Now, B of z less than + +473 +00:37:28,860 --> 00:37:33,270 +negative 0.12. look you go back to the normal + +474 +00:37:33,270 --> 00:37:37,650 +curve to the normal table but for the negative + +475 +00:37:37,650 --> 00:37:42,310 +values of z negative point one two negative point + +476 +00:37:42,310 --> 00:37:53,290 +one two four five two two it's four five point + +477 +00:37:53,290 --> 00:37:56,630 +five minus point four five two two will give the + +478 +00:37:56,630 --> 00:37:58,370 +result we are looking for + +479 +00:38:01,570 --> 00:38:06,370 +So B of Z less than 0 is 0.5. B of Z less than + +480 +00:38:06,370 --> 00:38:12,650 +negative 0.12 equals minus 0.4522. That will give + +481 +00:38:12,650 --> 00:38:14,290 +0 forcibility. + +482 +00:38:16,790 --> 00:38:23,590 +Now, by symmetric, you can see that this + +483 +00:38:23,590 --> 00:38:28,470 +probability between + +484 +00:38:28,470 --> 00:38:38,300 +Z between minus 0.12 and 0 is the same as the + +485 +00:38:38,300 --> 00:38:43,340 +other side from 0.12 I mean this area the red one + +486 +00:38:43,340 --> 00:38:46,200 +is the same up to 8.6 + +487 +00:38:55,600 --> 00:38:58,840 +So the area between minus 0.12 up to 0 is the same + +488 +00:38:58,840 --> 00:39:04,920 +as from 0 up to 0.12. Because of symmetric, since + +489 +00:39:04,920 --> 00:39:09,680 +this area equals the same for the other part. So + +490 +00:39:09,680 --> 00:39:15,660 +from 0 up to 0.12 is the same as minus 0.12 up to + +491 +00:39:15,660 --> 00:39:19,100 +0. So equal, so the normal distribution is + +492 +00:39:19,100 --> 00:39:23,200 +symmetric. So this probability is the same as B of + +493 +00:39:23,200 --> 00:39:27,980 +Z between 0 and 0.12. Any question? + +494 +00:39:34,520 --> 00:39:36,620 +Again, the equal sign does not matter. + +495 +00:39:42,120 --> 00:39:45,000 +Because here we have the complement. The + +496 +00:39:45,000 --> 00:39:49,250 +complement. If this one, I mean, complement of z + +497 +00:39:49,250 --> 00:39:53,350 +less than, greater than 0.12, the complement is B + +498 +00:39:53,350 --> 00:39:56,350 +of z less than or equal to minus 0.12. So we + +499 +00:39:56,350 --> 00:40:00,070 +should have just permutation, the equality. But it + +500 +00:40:00,070 --> 00:40:04,830 +doesn't matter. If in the problem we don't have + +501 +00:40:04,830 --> 00:40:07,470 +equal sign in the complement, we should have equal + +502 +00:40:07,470 --> 00:40:11,430 +sign. But it doesn't matter actually if we have + +503 +00:40:11,430 --> 00:40:14,510 +equal sign or not. For example, if we are looking + +504 +00:40:14,510 --> 00:40:19,430 +for B of X greater than A. Now what's the + +505 +00:40:19,430 --> 00:40:25,950 +complement of that? 1 minus less + +506 +00:40:25,950 --> 00:40:32,450 +than or equal to A. But if X is greater than or + +507 +00:40:32,450 --> 00:40:37,870 +equal to A, the complement is without equal sign. + +508 +00:40:38,310 --> 00:40:40,970 +But in continuous distribution, the equal sign + +509 +00:40:40,970 --> 00:40:44,990 +does not matter. Any question? + +510 +00:40:52,190 --> 00:40:58,130 +comments. Let's move to the next topic which talks + +511 +00:40:58,130 --> 00:41:05,510 +about the empirical rule. If you remember before + +512 +00:41:05,510 --> 00:41:16,750 +we said there is an empirical rule for 68, 95, 95, + +513 +00:41:17,420 --> 00:41:23,060 +99.71. Now let's see the exact meaning of this + +514 +00:41:23,060 --> 00:41:23,320 +rule. + +515 +00:41:37,580 --> 00:41:40,460 +Now we have to apply the empirical rule not to + +516 +00:41:40,460 --> 00:41:43,020 +Chebyshev's inequality because the distribution is + +517 +00:41:43,020 --> 00:41:48,670 +normal. Chebyshev's is applied for skewed + +518 +00:41:48,670 --> 00:41:52,630 +distributions. For symmetric, we have to apply the + +519 +00:41:52,630 --> 00:41:55,630 +empirical rule. Here, we assume the distribution + +520 +00:41:55,630 --> 00:41:58,390 +is normal. And today, we are talking about normal + +521 +00:41:58,390 --> 00:42:01,330 +distribution. So we have to use the empirical + +522 +00:42:01,330 --> 00:42:02,410 +rules. + +523 +00:42:07,910 --> 00:42:13,530 +Now, the mean is the value in the middle. Suppose + +524 +00:42:13,530 --> 00:42:16,900 +we are far away. from the mean by one standard + +525 +00:42:16,900 --> 00:42:22,720 +deviation either below or above and we are + +526 +00:42:22,720 --> 00:42:27,040 +interested in the area between this value which is + +527 +00:42:27,040 --> 00:42:33,040 +mu minus sigma so we are looking for mu minus + +528 +00:42:33,040 --> 00:42:36,360 +sigma and mu plus sigma + +529 +00:42:53,270 --> 00:42:59,890 +Last time we said there's a rule 68% of the data + +530 +00:42:59,890 --> 00:43:06,790 +lies one standard deviation within the mean. Now + +531 +00:43:06,790 --> 00:43:10,550 +let's see how can we compute the exact area, area + +532 +00:43:10,550 --> 00:43:15,250 +not just say 68%. Now X has normal distribution + +533 +00:43:15,250 --> 00:43:18,390 +with mean mu and standard deviation sigma. So + +534 +00:43:18,390 --> 00:43:25,280 +let's compare it from normal distribution to + +535 +00:43:25,280 --> 00:43:29,700 +standardized. So this is the first value here. Now + +536 +00:43:29,700 --> 00:43:34,940 +the z-score, the general formula is x minus the + +537 +00:43:34,940 --> 00:43:40,120 +mean divided by sigma. Now the first quantity is + +538 +00:43:40,120 --> 00:43:45,660 +mu minus sigma. So instead of x here, so first z + +539 +00:43:45,660 --> 00:43:49,820 +is, now this x should be replaced by mu minus + +540 +00:43:49,820 --> 00:43:55,040 +sigma. So mu minus sigma. So that's my x value, + +541 +00:43:55,560 --> 00:44:00,240 +minus the mean of that, which is mu, divided by + +542 +00:44:00,240 --> 00:44:07,900 +sigma. Mu minus sigma minus mu mu cancels, so plus + +543 +00:44:07,900 --> 00:44:13,520 +one. And let's see how can we compute that area. I + +544 +00:44:13,520 --> 00:44:16,980 +mean between minus one and plus one. In this case, + +545 +00:44:17,040 --> 00:44:23,180 +we are interested or we are looking for the area + +546 +00:44:23,180 --> 00:44:28,300 +between minus one and plus one this area now the + +547 +00:44:28,300 --> 00:44:31,360 +dashed area i mean the area between minus one and + +548 +00:44:31,360 --> 00:44:39,460 +plus one equals the area below one this area minus + +549 +00:44:39,460 --> 00:44:44,980 +the area below minus one that will give the area + +550 +00:44:44,980 --> 00:44:48,200 +between minus one and plus one now go back to the + +551 +00:44:48,200 --> 00:44:52,500 +normal table you have and look at the value of one + +552 +00:44:52,500 --> 00:45:02,620 +z and one under zero what's your answer one point + +553 +00:45:02,620 --> 00:45:11,520 +one point now without using the table can you tell + +554 +00:45:11,520 --> 00:45:17,360 +the area below minus one one minus this one + +555 +00:45:17,360 --> 00:45:17,840 +because + +556 +00:45:23,430 --> 00:45:29,870 +Now the area below, this is 1. The area below 1 is + +557 +00:45:29,870 --> 00:45:31,310 +0.3413. + +558 +00:45:34,430 --> 00:45:37,590 +Okay, now the area below minus 1. + +559 +00:45:40,770 --> 00:45:42,050 +This is minus 1. + +560 +00:45:46,810 --> 00:45:49,550 +Now, the area below minus 1 is the same as above + +561 +00:45:49,550 --> 00:45:50,510 +1. + +562 +00:45:54,310 --> 00:45:58,810 +These are the two areas here are equal. So the + +563 +00:45:58,810 --> 00:46:03,110 +area below minus 1, I mean b of z less than minus + +564 +00:46:03,110 --> 00:46:09,130 +1 is the same as b of z greater than 1. And b of z + +565 +00:46:09,130 --> 00:46:12,650 +greater than 1 is the same as 1 minus b of z + +566 +00:46:12,650 --> 00:46:17,310 +smaller than 1. So b of z less than 1 here. You + +567 +00:46:17,310 --> 00:46:19,710 +shouldn't need to look again to the table. Just + +568 +00:46:19,710 --> 00:46:26,770 +subtract 1 from this value. Make sense? Here we + +569 +00:46:26,770 --> 00:46:30,490 +compute the value of B of Z less than 1, which is + +570 +00:46:30,490 --> 00:46:35,430 +0.8413. We are looking for B of Z less than minus + +571 +00:46:35,430 --> 00:46:39,770 +1, which is the same as B of Z greater than 1. + +572 +00:46:40,750 --> 00:46:43,850 +Now, greater than means our tail. It's 1 minus the + +573 +00:46:43,850 --> 00:46:48,700 +lower tail probability. So this is 1 minus. So the + +574 +00:46:48,700 --> 00:46:52,240 +answer again is 1 minus 0.8413. + +575 +00:46:54,280 --> 00:47:00,040 +So 8413 minus 0.1587. + +576 +00:47:11,380 --> 00:47:17,030 +So 8413. minus 1.1587. + +577 +00:47:21,630 --> 00:47:27,570 +Okay, so that gives 0.6826. + +578 +00:47:29,090 --> 00:47:37,550 +Multiply this one by 100, we get 68.1826. + +579 +00:47:38,750 --> 00:47:44,010 +So roughly 60-80% of the observations lie between + +580 +00:47:44,010 --> 00:47:50,470 +one standard deviation around the mean. So this is + +581 +00:47:50,470 --> 00:47:53,850 +the way how can we compute the area below one + +582 +00:47:53,850 --> 00:47:57,250 +standard deviation or above one standard deviation + +583 +00:47:57,250 --> 00:48:03,790 +of the mean. Do the same for not mu minus sigma, + +584 +00:48:05,230 --> 00:48:11,540 +mu plus minus two sigma and mu plus two sigma. The + +585 +00:48:11,540 --> 00:48:14,600 +only difference is that this one is going to be + +586 +00:48:14,600 --> 00:48:17,280 +minus 2 and do the same. + +587 +00:48:20,620 --> 00:48:23,080 +That's the empirical rule we discussed in chapter + +588 +00:48:23,080 --> 00:48:28,980 +3. So here we can find any probability, not just + +589 +00:48:28,980 --> 00:48:33,660 +95 or 68 or 99.7. We can use the normal table to + +590 +00:48:33,660 --> 00:48:36,900 +give or to find or to compute any probability. + +591 +00:48:48,270 --> 00:48:53,090 +So again, for the other one, mu plus or minus two + +592 +00:48:53,090 --> 00:49:00,190 +sigma, it covers about 95% of the axis. For mu + +593 +00:49:00,190 --> 00:49:03,750 +plus or minus three sigma, it covers around all + +594 +00:49:03,750 --> 00:49:08,450 +the data, 99.7. So just do it at home, you will + +595 +00:49:08,450 --> 00:49:14,210 +see that the exact area is 95.44 instead of 95. + +596 +00:49:14,840 --> 00:49:18,520 +And the other one is 99.73. So that's the + +597 +00:49:18,520 --> 00:49:23,520 +empirical rule we discussed in chapter three. I'm + +598 +00:49:23,520 --> 00:49:32,560 +going to stop at this point, which is the x value + +599 +00:49:32,560 --> 00:49:38,400 +for the normal probability. Now, what we discussed + +600 +00:49:38,400 --> 00:49:43,560 +so far, we computed the probability. I mean, + +601 +00:49:43,740 --> 00:49:49,120 +what's the probability of X smaller than E? Now, + +602 +00:49:49,200 --> 00:49:56,240 +suppose this probability is known. How can we + +603 +00:49:56,240 --> 00:50:01,500 +compute this value? Later, we'll talk about that. + +604 +00:50:06,300 --> 00:50:09,820 +It's backward calculations. It's inverse or + +605 +00:50:09,820 --> 00:50:11,420 +backward calculation. + +606 +00:50:13,300 --> 00:50:14,460 +for next time inshallah. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/R6shw6IZsm8.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/R6shw6IZsm8.srt new file mode 100644 index 0000000000000000000000000000000000000000..2bdce727546a496bff6218905702acf06f2e6207 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/R6shw6IZsm8.srt @@ -0,0 +1,1827 @@ + +1 +00:00:11,500 --> 00:00:17,380 +Last time, we talked about chi-square tests. And + +2 +00:00:17,380 --> 00:00:21,580 +we mentioned that there are two objectives in this + +3 +00:00:21,580 --> 00:00:25,220 +chapter. The first one is when to use chi-square + +4 +00:00:25,220 --> 00:00:28,630 +tests for contingency tables. And the other + +5 +00:00:28,630 --> 00:00:31,070 +objective is how to use chi-square tests for + +6 +00:00:31,070 --> 00:00:35,410 +contingency tables. And we did one chi-square test + +7 +00:00:35,410 --> 00:00:42,050 +for the difference between two proportions. In the + +8 +00:00:42,050 --> 00:00:44,630 +null hypothesis, the two proportions are equal. I + +9 +00:00:44,630 --> 00:00:47,970 +mean, proportion for population 1 equals + +10 +00:00:47,970 --> 00:00:52,970 +population proportion 2 against the alternative + +11 +00:00:52,970 --> 00:00:58,470 +here is two-sided test. Pi 1 does not equal pi 2. + +12 +00:00:59,310 --> 00:01:04,210 +In this case, we can use either this statistic. So + +13 +00:01:04,210 --> 00:01:05,150 +you may + +14 +00:01:07,680 --> 00:01:15,520 +Z statistic, which is b1 minus b2 minus y1 minus + +15 +00:01:15,520 --> 00:01:21,840 +y2 divided by b + +16 +00:01:21,840 --> 00:01:27,500 +dash times 1 minus b dash multiplied by 1 over n1 + +17 +00:01:27,500 --> 00:01:31,200 +plus 1 over n2. This quantity under the square + +18 +00:01:31,200 --> 00:01:33,080 +root, where b dash + +19 +00:01:42,180 --> 00:01:48,580 +Or proportionally, where P dash equals X1 plus X2 + +20 +00:01:48,580 --> 00:01:55,560 +divided by N1 plus N2. Or, + +21 +00:01:58,700 --> 00:02:00,720 +in this chapter, we are going to use chi-square + +22 +00:02:00,720 --> 00:02:04,520 +statistic, which is given by this equation. Chi + +23 +00:02:04,520 --> 00:02:09,620 +-square statistic is just sum of observed + +24 +00:02:09,620 --> 00:02:10,940 +frequency, FO. + +25 +00:02:15,530 --> 00:02:20,070 +minus expected frequency squared divided by + +26 +00:02:20,070 --> 00:02:22,490 +expected frequency for all cells. + +27 +00:02:25,210 --> 00:02:29,070 +Chi squared, this statistic is given by this + +28 +00:02:29,070 --> 00:02:34,190 +equation. If there are two by two rows and + +29 +00:02:34,190 --> 00:02:36,290 +columns, I mean there are two rows and two + +30 +00:02:36,290 --> 00:02:40,270 +columns. So in this case, my table is two by two. + +31 +00:02:42,120 --> 00:02:44,360 +In this case, you have only one degree of freedom. + +32 +00:02:44,640 --> 00:02:50,440 +Always degrees of freedom equals number of rows + +33 +00:02:50,440 --> 00:03:00,320 +minus one multiplied by number of columns minus + +34 +00:03:00,320 --> 00:03:06,140 +one. So for two by two tables, there are two rows + +35 +00:03:06,140 --> 00:03:11,560 +and two columns, so two minus one. times 2 minus + +36 +00:03:11,560 --> 00:03:15,420 +1, so your degrees of freedom in this case is 1. + +37 +00:03:16,440 --> 00:03:19,320 +Here the assumption is we assume that the expected + +38 +00:03:19,320 --> 00:03:22,940 +frequency is at least 5, in order to use Chi + +39 +00:03:22,940 --> 00:03:27,200 +-square statistic. Chi-square is always positive, + +40 +00:03:27,680 --> 00:03:32,260 +I mean, Chi-square value is always greater than 0. + +41 +00:03:34,040 --> 00:03:38,890 +It's one TLTS to the right one. We reject F0 if + +42 +00:03:38,890 --> 00:03:42,430 +your chi-square statistic falls in the rejection + +43 +00:03:42,430 --> 00:03:45,850 +region. That means we reject the null hypothesis + +44 +00:03:45,850 --> 00:03:49,470 +if chi-square statistic greater than chi-square + +45 +00:03:49,470 --> 00:03:53,130 +alpha. Alpha can be determined by using chi-square + +46 +00:03:53,130 --> 00:03:56,490 +table. So we reject in this case F0, otherwise, + +47 +00:03:56,890 --> 00:04:02,050 +sorry, we don't reject F0. So again, if the value + +48 +00:04:02,050 --> 00:04:05,350 +of chi-square statistic falls in this rejection + +49 +00:04:05,350 --> 00:04:10,280 +region, the yellow one, then we reject. Otherwise, + +50 +00:04:11,100 --> 00:04:13,900 +if this value, I mean if the value of the + +51 +00:04:13,900 --> 00:04:17,060 +statistic falls in non-rejection region, we don't + +52 +00:04:17,060 --> 00:04:21,680 +reject the null hypothesis. So the same concept as + +53 +00:04:21,680 --> 00:04:27,680 +we did in the previous chapters. If we go back to + +54 +00:04:27,680 --> 00:04:32,060 +the previous example we had discussed before, when + +55 +00:04:32,060 --> 00:04:36,620 +we are testing about gender and left and right + +56 +00:04:36,620 --> 00:04:41,340 +handers, So hand preference either left or right. + +57 +00:04:42,960 --> 00:04:49,320 +And the question is test to see whether hand + +58 +00:04:49,320 --> 00:04:53,100 +preference and gender are related or not. In this + +59 +00:04:53,100 --> 00:04:56,960 +case, your null hypothesis could be written as + +60 +00:04:56,960 --> 00:05:00,620 +either X0. + +61 +00:05:04,220 --> 00:05:07,160 +So the proportion of left-handers for female + +62 +00:05:07,160 --> 00:05:12,260 +equals the proportion of males left-handers. So by + +63 +00:05:12,260 --> 00:05:16,600 +one equals by two or H zero later we'll see that + +64 +00:05:16,600 --> 00:05:22,680 +the two variables of interest are independent. + +65 +00:05:32,810 --> 00:05:37,830 +Now, your B dash is + +66 +00:05:37,830 --> 00:05:42,250 +given by X1 plus X2 divided by N1 plus N2. X1 is + +67 +00:05:42,250 --> 00:05:51,930 +12, this 12, plus 24 divided by 300. That will + +68 +00:05:51,930 --> 00:05:57,310 +give 12%. So let me just write this notation, B + +69 +00:05:57,310 --> 00:05:57,710 +dash. + +70 +00:06:05,560 --> 00:06:13,740 +equals 36 by 300, so that's 12%. So the expected + +71 +00:06:13,740 --> 00:06:19,500 +frequency in this case for female, 0.12 times 120, + +72 +00:06:19,680 --> 00:06:22,140 +because there are 120 females in the data you + +73 +00:06:22,140 --> 00:06:25,520 +have, so that will give 14.4. So the expected + +74 +00:06:25,520 --> 00:06:30,680 +frequency is 0.12 times 180, 120, I'm sorry, + +75 +00:06:34,810 --> 00:06:39,590 +That will give 14.4. Similarly, for male to be + +76 +00:06:39,590 --> 00:06:43,390 +left-handed is 0.12 times number of females in the + +77 +00:06:43,390 --> 00:06:46,690 +sample, which is 180, and that will give 21.6. + +78 +00:06:48,670 --> 00:06:53,190 +Now, since you compute the expected for the first + +79 +00:06:53,190 --> 00:06:57,590 +cell, the second one direct is just the complement + +80 +00:06:57,590 --> 00:07:03,020 +120. 120 is sample size for the Rome. I mean + +81 +00:07:03,020 --> 00:07:12,200 +female total 120 minus 14.4 will give 105.6. Or 0 + +82 +00:07:12,200 --> 00:07:18,050 +.88 times 120 will give the same value. Here, the + +83 +00:07:18,050 --> 00:07:21,730 +expected is 21.6, so the compliment is the, I'm + +84 +00:07:21,730 --> 00:07:25,130 +sorry, the expected is just the compliment, which + +85 +00:07:25,130 --> 00:07:32,010 +is 180 minus 21.6 will give 158.4. Or 0.88 is the + +86 +00:07:32,010 --> 00:07:35,090 +compliment of that one multiplied by 180 will give + +87 +00:07:35,090 --> 00:07:39,070 +the same value. So that's the one we had discussed + +88 +00:07:39,070 --> 00:07:39,670 +before. + +89 +00:07:42,410 --> 00:07:46,550 +On this result, you can determine the value of chi + +90 +00:07:46,550 --> 00:07:50,750 +-square statistic by using this equation. Sum of F + +91 +00:07:50,750 --> 00:07:53,810 +observed minus F expected squared divided by F + +92 +00:07:53,810 --> 00:07:57,450 +expected for each cell. You have to compute the + +93 +00:07:57,450 --> 00:08:00,870 +value of chi-square for each cell. In this case, + +94 +00:08:01,070 --> 00:08:04,250 +the simplest case is just 2 by 2 table. So 12 + +95 +00:08:04,250 --> 00:08:09,980 +minus 14.4 squared divided by 14.4. Plus the + +96 +00:08:09,980 --> 00:08:15,720 +second one 108 minus 105 squared divided by 105 up + +97 +00:08:15,720 --> 00:08:19,780 +to the last one, you will get this result. Now my + +98 +00:08:19,780 --> 00:08:21,900 +chi-square value is 0.7576. + +99 +00:08:24,240 --> 00:08:28,140 +And in this case, if chi-square value is very + +100 +00:08:28,140 --> 00:08:31,180 +small, I mean it's close to zero, then we don't + +101 +00:08:31,180 --> 00:08:34,140 +reject the null hypothesis. Because the smallest + +102 +00:08:34,140 --> 00:08:37,500 +value of chi-square is zero, and zero happens only + +103 +00:08:37,500 --> 00:08:43,580 +if f observed is close to f expected. So here if + +104 +00:08:43,580 --> 00:08:46,920 +you look carefully for the observed and expected + +105 +00:08:46,920 --> 00:08:50,520 +frequencies, you can tell if you can reject or + +106 +00:08:50,520 --> 00:08:53,700 +don't reject the number. Now the difference + +107 +00:08:53,700 --> 00:08:58,960 +between these values looks small, so that's lead + +108 +00:08:58,960 --> 00:09:05,110 +to small chi-square. So without doing the critical + +109 +00:09:05,110 --> 00:09:08,210 +value, computer critical value, you can determine + +110 +00:09:08,210 --> 00:09:11,890 +that we don't reject the null hypothesis. Because + +111 +00:09:11,890 --> 00:09:16,070 +your chi-square value is very small. So we don't + +112 +00:09:16,070 --> 00:09:18,670 +reject the null hypothesis. Or if you look + +113 +00:09:18,670 --> 00:09:22,790 +carefully at the table, for the table we have + +114 +00:09:22,790 --> 00:09:26,410 +here, for chi-square table. By the way, the + +115 +00:09:26,410 --> 00:09:31,480 +smallest value of chi-square is 1.3. under 1 + +116 +00:09:31,480 --> 00:09:36,180 +degrees of freedom. So the smallest value 1.32. So + +117 +00:09:36,180 --> 00:09:39,360 +if your chi-square value is greater than 1, it + +118 +00:09:39,360 --> 00:09:41,920 +means maybe you reject or don't reject. It depends + +119 +00:09:41,920 --> 00:09:45,920 +on v value and alpha you have or degrees of + +120 +00:09:45,920 --> 00:09:50,280 +freedom. But in the worst scenario, if your chi + +121 +00:09:50,280 --> 00:09:53,780 +-square is smaller than this value, it means you + +122 +00:09:53,780 --> 00:09:57,600 +don't reject the null hypothesis. So generally + +123 +00:09:57,600 --> 00:10:02,120 +speaking, if Chi-square is statistical. It's + +124 +00:10:02,120 --> 00:10:06,420 +smaller than 1.32. 1.32 is a very small value. + +125 +00:10:06,940 --> 00:10:15,560 +Then we don't reject. Then we don't reject x0. + +126 +00:10:15,780 --> 00:10:24,220 +That's always, always true. Regardless of degrees + +127 +00:10:24,220 --> 00:10:31,050 +of freedom and alpha. My chi-square is close to + +128 +00:10:31,050 --> 00:10:35,710 +zero, or smaller than 1.32, because the minimum + +129 +00:10:35,710 --> 00:10:40,990 +value of critical value is 1.32. Imagine that we + +130 +00:10:40,990 --> 00:10:46,050 +are talking about alpha is 5%. So alpha is 5, so + +131 +00:10:46,050 --> 00:10:48,750 +your critical value, the smallest one for 1 + +132 +00:10:48,750 --> 00:10:53,850 +degrees of freedom, is 3.84. So that's my + +133 +00:10:53,850 --> 00:10:55,490 +smallest, if alpha + +134 +00:11:03,740 --> 00:11:08,680 +Last time we mentioned that this value is just 1 + +135 +00:11:08,680 --> 00:11:17,760 +.96 squared. And that's only true, only true for 2 + +136 +00:11:17,760 --> 00:11:24,180 +by 2 table. That means this square is just Chi + +137 +00:11:24,180 --> 00:11:29,470 +square 1. For this reason, we can test by one + +138 +00:11:29,470 --> 00:11:33,330 +equal by two, by two methods, either this + +139 +00:11:33,330 --> 00:11:37,750 +statistic or chi-square statistic. Both of them + +140 +00:11:37,750 --> 00:11:41,970 +will give the same result. So let's go back to the + +141 +00:11:41,970 --> 00:11:49,670 +question we have. My chi-square value is 0.77576. + +142 +00:11:52,160 --> 00:11:56,940 +So that's your chi-square statistic. Again, + +143 +00:11:57,500 --> 00:12:00,240 +degrees of freedom 1 to chi-square, the critical + +144 +00:12:00,240 --> 00:12:08,500 +value is 3.841. So my decision is we don't reject + +145 +00:12:08,500 --> 00:12:11,780 +the null hypothesis. My conclusion is there is not + +146 +00:12:11,780 --> 00:12:14,380 +sufficient evidence that two proportions are + +147 +00:12:14,380 --> 00:12:17,480 +different. So you don't have sufficient evidence + +148 +00:12:17,480 --> 00:12:21,900 +in order to support that the two proportions are + +149 +00:12:21,900 --> 00:12:27,720 +different at 5% level of significance. We stopped + +150 +00:12:27,720 --> 00:12:32,700 +last time at this point. Now suppose we are + +151 +00:12:32,700 --> 00:12:36,670 +testing The difference among more than two + +152 +00:12:36,670 --> 00:12:42,930 +proportions. The same steps, we have to extend in + +153 +00:12:42,930 --> 00:12:47,830 +this case chi-square. Your null hypothesis, by one + +154 +00:12:47,830 --> 00:12:50,990 +equal by two, all the way up to by C. So in this + +155 +00:12:50,990 --> 00:13:00,110 +case, there are C columns. C columns and + +156 +00:13:00,110 --> 00:13:05,420 +two rows. So number of columns equals C, and there + +157 +00:13:05,420 --> 00:13:10,520 +are only two rows. So pi 1 equals pi 2, all the + +158 +00:13:10,520 --> 00:13:13,840 +way up to pi C. So null hypothesis for the columns + +159 +00:13:13,840 --> 00:13:17,040 +we have. There are C columns. Again, it's the + +160 +00:13:17,040 --> 00:13:19,840 +alternative, not all of the pi J are equal, and J + +161 +00:13:19,840 --> 00:13:23,840 +equals 1 up to C. Now, the only difference here, + +162 +00:13:26,520 --> 00:13:27,500 +the degrees of freedom. + +163 +00:13:31,370 --> 00:13:32,850 +For 2 by c table, + +164 +00:13:35,710 --> 00:13:42,010 +2 by c, degrees of freedom equals number + +165 +00:13:42,010 --> 00:13:45,890 +of rows minus 1. There are two rows, so 2 minus 1 + +166 +00:13:45,890 --> 00:13:50,810 +times number of columns minus 1. 2 minus 1 is 1, c + +167 +00:13:50,810 --> 00:13:54,610 +minus 1, 1 times c minus 1, c minus 1. So your + +168 +00:13:54,610 --> 00:13:57,130 +degrees of freedom in this case is c minus 1. + +169 +00:14:00,070 --> 00:14:03,190 +So that's the only difference. For two by two + +170 +00:14:03,190 --> 00:14:07,130 +table, degrees of freedom is just one. If there + +171 +00:14:07,130 --> 00:14:10,670 +are C columns and we have the same number of rows, + +172 +00:14:11,450 --> 00:14:14,810 +degrees of freedom is C minus one. And we have the + +173 +00:14:14,810 --> 00:14:19,190 +same chi squared statistic, the same equation I + +174 +00:14:19,190 --> 00:14:23,890 +mean. And we have to extend also the overall + +175 +00:14:23,890 --> 00:14:27,330 +proportion instead of x1 plus x2 divided by n1 + +176 +00:14:27,330 --> 00:14:32,610 +plus n2. It becomes x1 plus x2 plus x3 all the way + +177 +00:14:32,610 --> 00:14:38,330 +up to xc because there are c columns divided by n1 + +178 +00:14:38,330 --> 00:14:41,910 +plus n2 all the way up to nc. So that's x over n. + +179 +00:14:43,540 --> 00:14:48,400 +So similarly we can reject the null hypothesis if + +180 +00:14:48,400 --> 00:14:52,260 +the value of chi-square statistic lies or falls in + +181 +00:14:52,260 --> 00:14:54,160 +the rejection region. + +182 +00:14:58,120 --> 00:15:01,980 +Other type of chi-square test is called chi-square + +183 +00:15:01,980 --> 00:15:07,380 +test of independence. Generally speaking, most of + +184 +00:15:07,380 --> 00:15:10,440 +the time there are more than two columns or more + +185 +00:15:10,440 --> 00:15:16,490 +than two rows. Now, suppose we have contingency + +186 +00:15:16,490 --> 00:15:22,370 +table that has R rows and C columns. And we are + +187 +00:15:22,370 --> 00:15:26,990 +interested to test to see whether the two + +188 +00:15:26,990 --> 00:15:31,390 +categorical variables are independent. That means + +189 +00:15:31,390 --> 00:15:35,600 +there is no relationship between them. Against the + +190 +00:15:35,600 --> 00:15:38,80 + +223 +00:18:05,940 --> 00:18:11,560 +tables with R rows and C columns. So we have the + +224 +00:18:11,560 --> 00:18:15,660 +case R by C. So that's in general, there are R + +225 +00:18:15,660 --> 00:18:23,060 +rows and C columns. And the question is this C, if + +226 +00:18:23,060 --> 00:18:27,480 +the two variables are independent or not. So in + +227 +00:18:27,480 --> 00:18:30,700 +this case, you cannot use this statistic. So one + +228 +00:18:30,700 --> 00:18:34,320 +more time, this statistic is valid only for two by + +229 +00:18:34,320 --> 00:18:38,020 +two tables. So that means we can use z or chi + +230 +00:18:38,020 --> 00:18:41,200 +-square to test if there is no difference between + +231 +00:18:41,200 --> 00:18:43,960 +two population proportions. But for more than + +232 +00:18:43,960 --> 00:18:46,700 +that, you have to use chi-square. + +233 +00:18:49,950 --> 00:18:53,310 +Now still we have the same equation, Chi-square + +234 +00:18:53,310 --> 00:18:57,870 +statistic is just sum F observed minus F expected + +235 +00:18:57,870 --> 00:19:00,690 +quantity squared divided by F expected. + +236 +00:19:03,490 --> 00:19:07,550 +In this case, Chi-square statistic for R by C case + +237 +00:19:07,550 --> 00:19:15,430 +has degrees of freedom R minus 1 multiplied by C + +238 +00:19:15,430 --> 00:19:18,570 +minus 1. In this case, each cell in the + +239 +00:19:18,570 --> 00:19:21,230 +contingency table has expected frequency at least + +240 +00:19:21,230 --> 00:19:26,910 +one instead of five. Now let's see how can we + +241 +00:19:26,910 --> 00:19:31,690 +compute the expected cell frequency for each cell. + +242 +00:19:32,950 --> 00:19:37,530 +The expected frequency is given by row total + +243 +00:19:37,530 --> 00:19:42,950 +multiplied by colon total divided by n. So that's + +244 +00:19:42,950 --> 00:19:50,700 +my new equation to determine I've expected it. So + +245 +00:19:50,700 --> 00:19:56,440 +the expected value for each cell is given by Rho + +246 +00:19:56,440 --> 00:20:03,380 +total multiplied by Kono, total divided by N. + +247 +00:20:05,160 --> 00:20:09,540 +Also, this equation is true for the previous + +248 +00:20:09,540 --> 00:20:15,560 +example. If you go back a little bit here, now the + +249 +00:20:16,650 --> 00:20:21,650 +Expected for this cell was 40.4. Now let's see how + +250 +00:20:21,650 --> 00:20:25,470 +can we compute the same value by using this + +251 +00:20:25,470 --> 00:20:30,250 +equation. So it's equal to row total 120 + +252 +00:20:30,250 --> 00:20:40,310 +multiplied by column total 36 divided by 300. + +253 +00:20:43,580 --> 00:20:46,500 +Now before we compute this value by using B dash + +254 +00:20:46,500 --> 00:20:50,900 +first, 300 divided by, I'm sorry, 36 divided by + +255 +00:20:50,900 --> 00:20:58,520 +300. So that's your B dash. Then we multiply this + +256 +00:20:58,520 --> 00:21:03,540 +B dash by N, and this is your N. So it's similar + +257 +00:21:03,540 --> 00:21:08,540 +equation. So either you use row total multiplied + +258 +00:21:08,540 --> 00:21:14,060 +by column total. then divide by overall sample + +259 +00:21:14,060 --> 00:21:18,880 +size you will get the same result by using the + +260 +00:21:18,880 --> 00:21:25,520 +overall proportion 12% times 120 so each one will + +261 +00:21:25,520 --> 00:21:29,860 +give the same answer so from now we are going to + +262 +00:21:29,860 --> 00:21:33,900 +use this equation in order to compute the expected + +263 +00:21:33,900 --> 00:21:37,960 +frequency for each cell so again expected + +264 +00:21:37,960 --> 00:21:42,920 +frequency is rho total times Column total divided + +265 +00:21:42,920 --> 00:21:48,620 +by N, N is the sample size. So row total it means + +266 +00:21:48,620 --> 00:21:52,220 +sum of all frequencies in the row. Similarly + +267 +00:21:52,220 --> 00:21:56,160 +column total is the sum of all frequencies in the + +268 +00:21:56,160 --> 00:22:00,180 +column and N is over all sample size. + +269 +00:22:03,030 --> 00:22:06,630 +Again, we reject the null hypothesis if your chi + +270 +00:22:06,630 --> 00:22:10,430 +-square statistic greater than chi-square alpha. + +271 +00:22:10,590 --> 00:22:13,370 +Otherwise, you don't reject it. And keep in mind, + +272 +00:22:14,270 --> 00:22:18,390 +chi-square statistic has degrees of freedom R + +273 +00:22:18,390 --> 00:22:23,730 +minus 1 times C minus 1. That's all for chi-square + +274 +00:22:23,730 --> 00:22:27,590 +as test of independence. Any question? + +275 +00:22:31,220 --> 00:22:36,300 +Here there is an example for applying chi-square + +276 +00:22:36,300 --> 00:22:42,200 +test of independence. Meal plan selected + +277 +00:22:42,200 --> 00:22:46,700 +by 200 students is shown in this table. So there + +278 +00:22:46,700 --> 00:22:50,960 +are two variables of interest. The first one is + +279 +00:22:50,960 --> 00:22:56,230 +number of meals per week. And there are three + +280 +00:22:56,230 --> 00:23:00,550 +types of number of meals, either 20 meals per + +281 +00:23:00,550 --> 00:23:07,870 +week, or 10 meals per week, or none. So that's, so + +282 +00:23:07,870 --> 00:23:12,150 +number of meals is classified into three groups. + +283 +00:23:13,210 --> 00:23:17,650 +So three columns, 20 per week, 10 per week, or + +284 +00:23:17,650 --> 00:23:23,270 +none. Class standing, students are classified into + +285 +00:23:23,270 --> 00:23:28,860 +four levels. A freshman, it means students like + +286 +00:23:28,860 --> 00:23:33,620 +you, first year. Sophomore, it means second year. + +287 +00:23:34,440 --> 00:23:38,400 +Junior, third level. Senior, fourth level. So that + +288 +00:23:38,400 --> 00:23:42,100 +means first, second, third, and fourth level. And + +289 +00:23:42,100 --> 00:23:46,140 +we have this number, these numbers for, I mean, + +290 +00:23:47,040 --> 00:23:53,660 +there are 24 A freshman who have meals for 20 per + +291 +00:23:53,660 --> 00:23:59,880 +week. So there are 24 freshmen have 20 meals per + +292 +00:23:59,880 --> 00:24:04,160 +week. 22 sophomores, the same, 10 for junior and + +293 +00:24:04,160 --> 00:24:10,220 +14 for senior. And the question is just to see if + +294 +00:24:10,220 --> 00:24:13,740 +number of meals per week is independent of class + +295 +00:24:13,740 --> 00:24:17,270 +standing. to see if there is a relationship + +296 +00:24:17,270 --> 00:24:21,890 +between these two variables. In this case, there + +297 +00:24:21,890 --> 00:24:26,850 +are four rows because the class standing is + +298 +00:24:26,850 --> 00:24:29,190 +classified into four groups. So there are four + +299 +00:24:29,190 --> 00:24:34,230 +rows and three columns. So this table actually is + +300 +00:24:34,230 --> 00:24:40,200 +four by three. And there are twelve cells in this + +301 +00:24:40,200 --> 00:24:46,660 +case. Now it takes time to compute the expected + +302 +00:24:46,660 --> 00:24:49,760 +frequencies because in this case we have to + +303 +00:24:49,760 --> 00:24:55,120 +compute the expected frequency for each cell. And + +304 +00:24:55,120 --> 00:25:01,320 +we are going to use this formula for only six of + +305 +00:25:01,320 --> 00:25:06,260 +them. I mean, we can apply this formula for only + +306 +00:25:06,260 --> 00:25:09,880 +six of them. And the others can be computed by the + +307 +00:25:09,880 --> 00:25:14,300 +complement by using either column total or row + +308 +00:25:14,300 --> 00:25:19,940 +total. So because degrees of freedom is six, that + +309 +00:25:19,940 --> 00:25:23,880 +means you may use this rule six times only. The + +310 +00:25:23,880 --> 00:25:28,420 +others can be computed by using the complement. So + +311 +00:25:28,420 --> 00:25:34,070 +here again, the hypothesis to be tested is, Mean + +312 +00:25:34,070 --> 00:25:36,550 +plan and class standing are independent, that + +313 +00:25:36,550 --> 00:25:38,670 +means there is no relationship between them. + +314 +00:25:39,150 --> 00:25:41,650 +Against alternative hypothesis, mean plan and + +315 +00:25:41,650 --> 00:25:44,630 +class standing are dependent, that means there + +316 +00:25:44,630 --> 00:25:49,950 +exists significant relationship between them. Now + +317 +00:25:49,950 --> 00:25:54,390 +let's see how can we compute the expected cell, + +318 +00:25:55,990 --> 00:26:00,470 +the expected frequency for each cell. For example, + +319 +00:26:02,250 --> 00:26:07,790 +The first observed frequency is 24. Now the + +320 +00:26:07,790 --> 00:26:15,990 +expected should be 70 times 70 divided by 200. So + +321 +00:26:15,990 --> 00:26:25,050 +for cell 11, the first cell. If expected, we can + +322 +00:26:25,050 --> 00:26:32,450 +use this notation, 11. Means first row. First + +323 +00:26:32,450 --> 00:26:40,110 +column. That should be 70. It is 70. Multiplied by + +324 +00:26:40,110 --> 00:26:43,990 +column totals. Again, in this case, 70. Multiplied + +325 +00:26:43,990 --> 00:26:47,270 +by 200. That will give 24.5. + +326 +00:26:50,150 --> 00:26:53,730 +Similarly, for the second cell, for 32. + +327 +00:26:56,350 --> 00:27:00,090 +70 times 88 divided by 200. + +328 +00:27:02,820 --> 00:27:12,620 +So for F22, again it's 70 times 88 divided by 200, + +329 +00:27:12,800 --> 00:27:22,060 +that will get 30.8. So 70 times 88, that will give + +330 +00:27:22,060 --> 00:27:32,780 +30.8. F21, rule two first, one third. rho 1 second + +331 +00:27:32,780 --> 00:27:37,600 +one the third one now either you can use the same + +332 +00:27:37,600 --> 00:27:44,320 +equation which is 70 times 42 so you can use 70 + +333 +00:27:44,320 --> 00:27:54,360 +times 42 divided by 200 that will give 14.7 or + +334 +00:27:54,360 --> 00:27:59,000 +it's just the complement which is 70 minus + +335 +00:28:03,390 --> 00:28:14,510 +24.5 plus 30.8. So either use 70 multiplied by 40 + +336 +00:28:14,510 --> 00:28:19,390 +divided by 200 or just the complement, 70 minus. + +337 +00:28:20,800 --> 00:28:28,400 +24.5 plus 30.8 will give the same value. So I just + +338 +00:28:28,400 --> 00:28:32,740 +compute the expected cell for 1 and 2, and the + +339 +00:28:32,740 --> 00:28:36,120 +third one is just the complement. Similarly, for + +340 +00:28:36,120 --> 00:28:42,560 +the second row, I mean cell 21, then 22, and 23. + +341 +00:28:43,680 --> 00:28:47,940 +By using the same method, he will get these two + +342 +00:28:47,940 --> 00:28:51,880 +values, and the other one is the complement, which + +343 +00:28:51,880 --> 00:28:54,880 +is 60 minus these, the sum of these two values, + +344 +00:28:55,300 --> 00:28:55,960 +will give 12. + +345 +00:28:58,720 --> 00:29:01,920 +Similarly, for the third cell, I'm sorry, the + +346 +00:29:01,920 --> 00:29:07,460 +third row, for this value, For 10, it's 30 times + +347 +00:29:07,460 --> 00:29:12,660 +70 divided by 200 will give this result. And the + +348 +00:29:12,660 --> 00:29:16,060 +other one is just 30 multiplied by 88 divided by + +349 +00:29:16,060 --> 00:29:20,200 +200. The other one is just the complement, 30 + +350 +00:29:20,200 --> 00:29:25,180 +minus the sum of these. Now, for the last column, + +351 +00:29:26,660 --> 00:29:35,220 +either 70 multiplied by 70 divided by 200, or 70 + +352 +00:29:35,220 --> 00:29:41,780 +this 70 minus the sum of these. 70 this one equals + +353 +00:29:41,780 --> 00:29:51,740 +70 minus the sum of 24 plus 21 plus 10. That will + +354 +00:29:51,740 --> 00:30:01,120 +give 14. Now for the other expected cell, 88. + +355 +00:30:02,370 --> 00:30:05,530 +minus the sum of these three expected frequencies. + +356 +00:30:07,290 --> 00:30:12,810 +Now for the last one, last one is either by 42 + +357 +00:30:12,810 --> 00:30:17,770 +minus the sum of these three, or 40 minus the sum + +358 +00:30:17,770 --> 00:30:20,090 +of 14 plus 6, 17.6. + +359 +00:30:22,810 --> 00:30:27,940 +Or 40 multiplied by 42 divided by 400. So let's + +360 +00:30:27,940 --> 00:30:35,180 +say we use that formula six times. For this + +361 +00:30:35,180 --> 00:30:39,100 +reason, degrees of freedom is six. The other six + +362 +00:30:39,100 --> 00:30:46,480 +are computed by the complement as we mentioned. So + +363 +00:30:46,480 --> 00:30:50,240 +these are the expected frequencies. It takes time + +364 +00:30:50,240 --> 00:30:56,010 +to compute these. But if you have only two by two + +365 +00:30:56,010 --> 00:31:01,170 +table, it's easier. Now based on that, we can + +366 +00:31:01,170 --> 00:31:07,430 +compute chi-square statistic value by using this + +367 +00:31:07,430 --> 00:31:12,390 +equation for each cell. I mean, the first one, if + +368 +00:31:12,390 --> 00:31:14,370 +you go back a little bit to the previous table, + +369 +00:31:15,150 --> 00:31:18,130 +here, in order to compute chi-square, + +370 +00:31:22,640 --> 00:31:27,760 +value, we have to use this equation, pi squared, + +371 +00:31:28,860 --> 00:31:36,080 +sum F observed minus F expected squared, divided + +372 +00:31:36,080 --> 00:31:41,980 +by F expected for all C's. So the first one is 24 + +373 +00:31:41,980 --> 00:31:44,780 +minus squared, + +374 +00:31:46,560 --> 00:31:55,350 +24 plus. The second cell is 32 squared + +375 +00:31:55,350 --> 00:31:58,990 +plus + +376 +00:31:58,990 --> 00:32:02,930 +all the way up to the last cell, which is 10. + +377 +00:32:11,090 --> 00:32:14,430 +So it takes time. But again, for two by two, it's + +378 +00:32:14,430 --> 00:32:18,890 +straightforward. Anyway, now if you compare the + +379 +00:32:18,890 --> 00:32:23,650 +expected and observed cells, you can have an idea + +380 +00:32:23,650 --> 00:32:25,650 +either to reject or fail to reject without + +381 +00:32:25,650 --> 00:32:31,470 +computing the value itself. Now, 24, 24.5. The + +382 +00:32:31,470 --> 00:32:32,430 +difference is small. + +383 +00:32:35,730 --> 00:32:39,070 +for about 7 and so on. So the difference between + +384 +00:32:39,070 --> 00:32:44,450 +observed and expected looks small. In this case, + +385 +00:32:44,590 --> 00:32:50,530 +chi-square value is close to zero. So it's 709. + +386 +00:32:51,190 --> 00:32:55,370 +Now, without looking at the table we have, we have + +387 +00:32:55,370 --> 00:33:02,710 +to don't reject. So we don't reject Because as we + +388 +00:33:02,710 --> 00:33:05,450 +mentioned, the minimum k squared value is 1132. + +389 +00:33:06,350 --> 00:33:09,670 +That's for one degrees of freedom and the alpha is + +390 +00:33:09,670 --> 00:33:14,390 +25%. So + +391 +00:33:14,390 --> 00:33:19,250 +I expect my decision is don't reject the null + +392 +00:33:19,250 --> 00:33:24,530 +hypothesis. Now by looking at k squared 5% and + +393 +00:33:24,530 --> 00:33:28,870 +degrees of freedom 6 by using k squared theorem. + +394 +00:33:30,200 --> 00:33:36,260 +Now degrees of freedom 6. Now the minimum value of + +395 +00:33:36,260 --> 00:33:40,520 +Chi-square is 7.84. I mean critical value. But + +396 +00:33:40,520 --> 00:33:48,290 +under 5% is 12.59. So this value is 12.59. So + +397 +00:33:48,290 --> 00:33:54,470 +critical value is 12.59. So my rejection region is + +398 +00:33:54,470 --> 00:33:59,890 +above this value. Now, my chi-square value falls + +399 +00:33:59,890 --> 00:34:06,250 +in the non-rejection regions. It's very small + +400 +00:34:06,250 --> 00:34:13,850 +value. So chi-square statistic is 0.709. + +401 +00:34:14,230 --> 00:34:20,620 +It's much smaller. Not even smaller than π²α, it's + +402 +00:34:20,620 --> 00:34:23,580 +much smaller than this value, so it means we don't + +403 +00:34:23,580 --> 00:34:26,440 +have sufficient evidence to support the + +404 +00:34:26,440 --> 00:34:32,010 +alternative hypothesis. So my decision is, don't + +405 +00:34:32,010 --> 00:34:36,350 +reject the null hypothesis. So conclusion, there + +406 +00:34:36,350 + +445 +00:38:19,540 --> 00:38:25,080 +Z statistic or Chi-squared. So Z or Chi can be + +446 +00:38:25,080 --> 00:38:28,920 +used for testing difference between two population + +447 +00:38:28,920 --> 00:38:34,360 +proportions. And again, chi-square can be extended + +448 +00:38:34,360 --> 00:38:40,140 +to use for more than two. So in this case, the + +449 +00:38:40,140 --> 00:38:43,220 +correct answer is C, because we can use either Z + +450 +00:38:43,220 --> 00:38:52,090 +or chi-square test. Next, in testing hypothesis + +451 +00:38:52,090 --> 00:38:58,350 +using chi-square test. The theoretical frequencies + +452 +00:38:58,350 --> 00:39:03,190 +are based on the null hypothesis, alternative, normal + +453 +00:39:03,190 --> 00:39:06,490 +distribution, none of the above. Always when we + +454 +00:39:06,490 --> 00:39:10,450 +are using chi-square test, we assume the null is + +455 +00:39:10,450 --> 00:39:14,630 +true. So the theoretical frequencies are based on + +456 +00:39:14,630 --> 00:39:20,060 +the null hypothesis. So always any statistic can + +457 +00:39:20,060 --> 00:39:25,300 +be computed if we assume x0 is correct. So the + +458 +00:39:25,300 --> 00:39:26,400 +correct answer is A. + +459 +00:39:34,060 --> 00:39:37,040 +Let's look at table 11-2. + +460 +00:39:44,280 --> 00:39:49,000 +Many companies use well-known celebrities as + +461 +00:39:49,000 --> 00:39:54,420 +spokespersons in their TV advertisements. A study + +462 +00:39:54,420 --> 00:39:57,760 +was conducted to determine whether brand awareness + +463 +00:39:57,760 --> 00:40:02,140 +of female TV viewers and the gender of the + +464 +00:40:02,140 --> 00:40:05,860 +spokesperson are independent. So there are two + +465 +00:40:05,860 --> 00:40:09,820 +variables, whether a brand awareness of female TV + +466 +00:40:09,820 --> 00:40:13,740 +and gender of the spokesperson are independent. + +467 +00:40:14,820 --> 00:40:19,540 +Each and a sample of 300 female TV viewers was + +468 +00:40:19,540 --> 00:40:24,000 +asked to identify a product advertised by a + +469 +00:40:24,000 --> 00:40:27,000 +celebrity spokesperson, the gender of the + +470 +00:40:27,000 --> 00:40:32,280 +spokesperson, and whether or not the viewer could + +471 +00:40:32,280 --> 00:40:36,460 +identify the product was recorded. The number in + +472 +00:40:36,460 --> 00:40:40,080 +each category are given below. Now, the questions + +473 +00:40:40,080 --> 00:40:45,520 +are, number one, he asked about the calculated + +474 +00:40:45,520 --> 00:40:49,120 +this statistic is. We have to find Chi-square + +475 +00:40:49,120 --> 00:40:54,020 +statistic. It's two by two tables, easy one. So, + +476 +00:40:54,460 --> 00:40:59,460 +for example, to find the F expected is, + +477 +00:41:00,420 --> 00:41:13,130 +rho total is one over two. And one line here. And + +478 +00:41:13,130 --> 00:41:13,810 +this 150. + +479 +00:41:16,430 --> 00:41:22,510 +And also 150. So the expected frequency for the + +480 +00:41:22,510 --> 00:41:31,010 +first one is 102 times 150 divided by 300. + +481 +00:41:35,680 --> 00:41:39,640 +So the answer is 51. + +482 +00:41:42,880 --> 00:41:51,560 +So the first expected is 51. The other one is just + +483 +00:41:51,560 --> 00:41:54,360 +102 minus 51 is also 51. + +484 +00:41:57,320 --> 00:42:01,020 +Now here is 99. + +485 +00:42:09,080 --> 00:42:15,180 +So the second + +486 +00:42:15,180 --> 00:42:18,800 +one are the expected frequencies. So my chi-square + +487 +00:42:18,800 --> 00:42:22,400 +statistic is + +488 +00:42:22,400 --> 00:42:32,260 +41 minus 51 squared divided by 51 plus 61 minus 51 + +489 +00:42:32,260 --> 00:42:44,160 +squared. 561 plus 109 minus 99 squared 99 plus 89 + +490 +00:42:44,160 --> 00:42:47,040 +minus 99 squared. + +491 +00:42:49,080 --> 00:42:53,140 +That will give 5 point. + +492 +00:42:57,260 --> 00:43:01,760 +So the answer is 5.9418. + +493 +00:43:03,410 --> 00:43:06,210 +So simple calculation will give this result. Now, + +494 +00:43:06,450 --> 00:43:10,370 +next one, referring to the same information we + +495 +00:43:10,370 --> 00:43:15,890 +have at 5% level of significance, the critical + +496 +00:43:15,890 --> 00:43:18,510 +value of that statistic. In this case, we are + +497 +00:43:18,510 --> 00:43:22,690 +talking about 2 by 2 table, and alpha is 5. So + +498 +00:43:22,690 --> 00:43:28,130 +your critical value is 3 point. So chi squared + +499 +00:43:28,130 --> 00:43:31,610 +alpha, 5% and 1 degrees of freedom. + +500 +00:43:35,000 --> 00:43:39,220 +This is the smallest value when alpha is 5%, so 3 + +501 +00:43:39,220 --> 00:43:41,440 +.8415. + +502 +00:43:46,160 --> 00:43:51,760 +Again, degrees of freedom of this statistic are 1, + +503 +00:43:52,500 --> 00:43:53,800 +2 by 2 is 1. + +504 +00:43:56,380 --> 00:44:01,620 +Now at 5% level of significance, the conclusion is + +505 +00:44:01,620 --> 00:44:01,980 +that + +506 +00:44:06,840 --> 00:44:16,380 +In this case, we reject H0. And H0 says the two + +507 +00:44:16,380 --> 00:44:20,800 +variables are independent. X and Y are + +508 +00:44:20,800 --> 00:44:25,860 +independent. We reject that they are independent. + +509 +00:44:27,380 --> 00:44:33,200 +That means they are dependent or related. So, A, + +510 +00:44:33,520 --> 00:44:36,680 +brand awareness of female TV viewers and the + +511 +00:44:36,680 --> 00:44:41,380 +gender of the spokesperson are independent. No, + +512 +00:44:41,580 --> 00:44:45,200 +because we reject the null hypothesis. B, brand + +513 +00:44:45,200 --> 00:44:48,340 +awareness of female TV viewers and the gender of + +514 +00:44:48,340 --> 00:44:53,140 +spokesperson are not independent. Since we reject, + +515 +00:44:53,380 --> 00:44:58,330 +then they are not. Because it's a complement. So, + +516 +00:44:58,430 --> 00:45:02,810 +B is the correct answer. Now, C. A brand awareness + +517 +00:45:02,810 --> 00:45:05,450 +of female TV viewers and the gender of the + +518 +00:45:05,450 --> 00:45:10,550 +spokesperson are related. The same meaning. They + +519 +00:45:10,550 --> 00:45:15,470 +are either, you say, not independent, related or + +520 +00:45:15,470 --> 00:45:15,950 +dependent. + +521 +00:45:19,490 --> 00:45:24,930 +Either is the same, so C is correct. D both B and + +522 +00:45:24,930 --> 00:45:28,970 +C, so D is the correct answer. So again, if we + +523 +00:45:28,970 --> 00:45:31,650 +reject the null hypothesis, it means the two + +524 +00:45:31,650 --> 00:45:36,990 +variables either not independent or related or + +525 +00:45:36,990 --> 00:45:38,290 +dependent. + +526 +00:45:40,550 --> 00:45:46,630 +Any question? I will stop at this point. Next + +527 +00:45:46,630 --> 00:45:47,750 +time, inshallah, we'll start. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/R6shw6IZsm8_raw.json b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/R6shw6IZsm8_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..d80502852153ae070a012b7062bf5ebacdf280f8 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/R6shw6IZsm8_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 2694, "start": 11.5, "end": 26.94, "text": " Last time, we talked about chi-square tests. And we mentioned that there are two objectives in this chapter. 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This quantity under the square root, where b dash", "tokens": [1176, 29588, 11, 597, 307, 272, 16, 3175, 272, 17, 3175, 288, 16, 3175, 288, 17, 6666, 538, 272, 8240, 1413, 502, 3175, 272, 8240, 17207, 538, 502, 670, 297, 16, 1804, 502, 670, 297, 17, 13, 639, 11275, 833, 264, 3732, 5593, 11, 689, 272, 8240], "avg_logprob": -0.28824869729578495, "compression_ratio": 1.4596774193548387, "no_speech_prob": 0.0, "words": [{"start": 67.68, "end": 67.96, "word": " Z", "probability": 0.25390625}, {"start": 67.96, "end": 68.46, "word": " statistic,", "probability": 0.572265625}, {"start": 69.36, "end": 69.78, "word": " which", "probability": 0.955078125}, {"start": 69.78, "end": 70.1, "word": " is", "probability": 0.95263671875}, {"start": 70.1, "end": 71.76, "word": " b1", "probability": 0.6927490234375}, {"start": 71.76, "end": 72.08, "word": " minus", "probability": 0.97119140625}, {"start": 72.08, "end": 72.56, "word": " b2", "probability": 0.987060546875}, {"start": 72.56, "end": 74.38, "word": " minus", "probability": 0.8828125}, {"start": 74.38, "end": 75.2, "word": " y1", "probability": 0.74169921875}, {"start": 75.2, "end": 75.52, "word": " minus", "probability": 0.986328125}, {"start": 75.52, "end": 76.08, "word": " y2", "probability": 0.997802734375}, {"start": 76.08, "end": 77.92, "word": " divided", "probability": 0.57177734375}, {"start": 77.92, "end": 78.34, "word": " by", "probability": 0.978515625}, {"start": 78.34, "end": 81.84, "word": " b", "probability": 0.76025390625}, {"start": 81.84, "end": 82.22, "word": " dash", "probability": 0.82470703125}, {"start": 82.22, "end": 84.18, "word": " times", "probability": 0.86328125}, {"start": 84.18, "end": 84.42, "word": " 1", "probability": 0.85595703125}, {"start": 84.42, "end": 84.7, "word": " minus", "probability": 0.9892578125}, {"start": 84.7, "end": 84.9, "word": " b", "probability": 0.84619140625}, {"start": 84.9, "end": 85.2, "word": " dash", "probability": 0.869140625}, {"start": 85.2, "end": 86.46, "word": " multiplied", "probability": 0.46630859375}, {"start": 86.46, "end": 86.78, "word": " by", "probability": 0.9658203125}, {"start": 86.78, "end": 87.0, "word": " 1", "probability": 0.94921875}, {"start": 87.0, "end": 87.22, "word": " over", "probability": 0.8662109375}, {"start": 87.22, "end": 87.5, "word": " n1", "probability": 0.570068359375}, {"start": 87.5, "end": 87.76, "word": " plus", "probability": 0.931640625}, {"start": 87.76, "end": 87.94, "word": " 1", "probability": 0.96044921875}, {"start": 87.94, "end": 88.12, "word": " over", "probability": 0.87841796875}, {"start": 88.12, "end": 88.76, "word": " n2.", "probability": 0.9921875}, {"start": 89.34, "end": 89.98, "word": " This", "probability": 0.298095703125}, {"start": 89.98, "end": 90.38, "word": " quantity", "probability": 0.445068359375}, {"start": 90.38, "end": 90.86, "word": " under", "probability": 0.52685546875}, {"start": 90.86, "end": 91.02, "word": " the", "probability": 0.72998046875}, {"start": 91.02, "end": 91.2, "word": " square", "probability": 0.82470703125}, {"start": 91.2, "end": 91.42, "word": " root,", "probability": 0.9140625}, {"start": 92.26, "end": 92.5, "word": " where", "probability": 0.921875}, {"start": 92.5, "end": 92.72, "word": " b", "probability": 0.97900390625}, {"start": 92.72, "end": 93.08, "word": " dash", "probability": 0.89990234375}], "temperature": 1.0}, {"id": 5, "seek": 13094, "start": 102.18, "end": 130.94, "text": " Or proportionally, where P dash equals X1 plus X2 divided by N1 plus N2. Or, in this chapter, we are going to use chi-square statistic, which is given by this equation. Chi-square statistic is just sum of observed frequency, FO.", "tokens": [1610, 16068, 379, 11, 689, 430, 8240, 6915, 1783, 16, 1804, 1783, 17, 6666, 538, 426, 16, 1804, 426, 17, 13, 1610, 11, 294, 341, 7187, 11, 321, 366, 516, 281, 764, 13228, 12, 33292, 543, 29588, 11, 597, 307, 2212, 538, 341, 5367, 13, 17730, 12, 33292, 543, 29588, 307, 445, 2408, 295, 13095, 7893, 11, 23501, 13], "avg_logprob": -0.27916665573914845, "compression_ratio": 1.4049079754601228, "no_speech_prob": 0.0, "words": [{"start": 102.18, "end": 102.48, "word": " Or", "probability": 0.51708984375}, {"start": 102.48, "end": 103.24, "word": " proportionally,", "probability": 0.52294921875}, {"start": 103.54, "end": 105.84, "word": " where", "probability": 0.8271484375}, {"start": 105.84, "end": 106.12, "word": " P", "probability": 0.343017578125}, {"start": 106.12, "end": 106.4, "word": " dash", "probability": 0.6044921875}, {"start": 106.4, "end": 107.0, "word": " equals", "probability": 0.896484375}, {"start": 107.0, "end": 107.64, "word": " X1", "probability": 0.73974609375}, {"start": 107.64, "end": 107.92, "word": " plus", "probability": 0.93505859375}, {"start": 107.92, "end": 108.58, "word": " X2", "probability": 0.9951171875}, {"start": 108.58, "end": 110.08, "word": " divided", "probability": 0.57373046875}, {"start": 110.08, "end": 110.56, "word": " by", "probability": 0.97119140625}, {"start": 110.56, "end": 111.88, "word": " N1", "probability": 0.942138671875}, {"start": 111.88, "end": 113.18, "word": " plus", "probability": 0.953125}, {"start": 113.18, "end": 114.28, "word": " N2.", "probability": 0.992919921875}, {"start": 115.06, "end": 115.56, "word": " Or,", "probability": 0.9345703125}, {"start": 118.7, "end": 118.88, "word": " in", "probability": 0.85986328125}, {"start": 118.88, "end": 119.04, "word": " this", "probability": 0.9404296875}, {"start": 119.04, "end": 119.3, "word": " chapter,", "probability": 0.86572265625}, {"start": 119.36, "end": 119.46, "word": " we", "probability": 0.958984375}, {"start": 119.46, "end": 119.58, "word": " are", "probability": 0.92431640625}, {"start": 119.58, "end": 119.82, "word": " going", "probability": 0.947265625}, {"start": 119.82, "end": 119.98, "word": " to", "probability": 0.9619140625}, {"start": 119.98, "end": 120.2, "word": " use", "probability": 0.84521484375}, {"start": 120.2, "end": 120.4, "word": " chi", "probability": 0.306640625}, {"start": 120.4, "end": 120.72, "word": "-square", "probability": 0.7600911458333334}, {"start": 120.72, "end": 121.02, "word": " statistic,", "probability": 0.347900390625}, {"start": 121.5, "end": 121.7, "word": " which", "probability": 0.94189453125}, {"start": 121.7, "end": 121.84, "word": " is", "probability": 0.947265625}, {"start": 121.84, "end": 122.04, "word": " given", "probability": 0.89404296875}, {"start": 122.04, "end": 122.48, "word": " by", "probability": 0.96826171875}, {"start": 122.48, "end": 123.02, "word": " this", "probability": 0.95068359375}, {"start": 123.02, "end": 123.58, "word": " equation.", "probability": 0.96826171875}, {"start": 124.3, "end": 124.52, "word": " Chi", "probability": 0.6875}, {"start": 124.52, "end": 124.82, "word": "-square", "probability": 0.93994140625}, {"start": 124.82, "end": 125.2, "word": " statistic", "probability": 0.89208984375}, {"start": 125.2, "end": 125.68, "word": " is", "probability": 0.9033203125}, {"start": 125.68, "end": 125.98, "word": " just", "probability": 0.91259765625}, {"start": 125.98, "end": 126.46, "word": " sum", "probability": 0.8212890625}, {"start": 126.46, "end": 127.3, "word": " of", "probability": 0.94580078125}, {"start": 127.3, "end": 129.62, "word": " observed", "probability": 0.72021484375}, {"start": 129.62, "end": 130.36, "word": " frequency,", "probability": 0.9404296875}, {"start": 130.54, "end": 130.94, "word": " FO.", "probability": 0.366455078125}], "temperature": 1.0}, {"id": 6, "seek": 16027, "start": 135.53, "end": 160.27, "text": " minus expected frequency squared divided by expected frequency for all cells. Chi squared, this statistic is given by this equation. If there are two by two rows and columns, I mean there are two rows and two columns. 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Always degrees of freedom equals number of rows minus one multiplied by number of columns minus one. 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Here the assumption is we assume that the expected frequency is at least 5, in order to use Chi-square statistic. Chi-square is always positive, I mean, Chi-square value is always greater than 0. 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That means we reject the null hypothesis if chi-square statistic greater than chi-square alpha. Alpha can be determined by using chi-square table. So we reject in this case F0, otherwise, sorry, we don't reject F0. 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Otherwise, if this value, I mean if the value of the statistic falls in non-rejection region, we don't reject the null hypothesis. So the same concept as we did in the previous chapters. If we go back to the previous example we had discussed before, when we are testing about gender and left and right handers,", "tokens": [264, 5566, 472, 11, 550, 321, 8248, 13, 10328, 11, 498, 341, 2158, 11, 286, 914, 498, 264, 2158, 295, 264, 29588, 8804, 294, 2107, 12, 265, 1020, 313, 4458, 11, 321, 500, 380, 8248, 264, 18184, 17291, 13, 407, 264, 912, 3410, 382, 321, 630, 294, 264, 3894, 20013, 13, 759, 321, 352, 646, 281, 264, 3894, 1365, 321, 632, 7152, 949, 11, 562, 321, 366, 4997, 466, 7898, 293, 1411, 293, 558, 1011, 433, 11], "avg_logprob": -0.16666666743082878, "compression_ratio": 1.6333333333333333, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 247.44, "end": 247.7, "word": " the", "probability": 0.222412109375}, {"start": 247.7, "end": 247.94, "word": " yellow", "probability": 0.78466796875}, {"start": 247.94, "end": 248.3, "word": " one,", "probability": 0.91943359375}, {"start": 248.68, "end": 248.98, "word": " then", "probability": 0.84228515625}, 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And the question is test to see whether hand preference and gender are related or not. In this case, your null hypothesis could be written as either X0.", "tokens": [407, 1011, 17502, 2139, 1411, 420, 558, 13, 400, 264, 1168, 307, 1500, 281, 536, 1968, 1011, 17502, 293, 7898, 366, 4077, 420, 406, 13, 682, 341, 1389, 11, 428, 18184, 17291, 727, 312, 3720, 382, 2139, 1783, 15, 13], "avg_logprob": -0.19950456735564442, "compression_ratio": 1.4264705882352942, "no_speech_prob": 0.0, "words": [{"start": 278.62, "end": 278.92, "word": " So", "probability": 0.90478515625}, {"start": 278.92, "end": 279.2, "word": " hand", "probability": 0.7861328125}, {"start": 279.2, "end": 279.88, "word": " preference", "probability": 0.83740234375}, {"start": 279.88, "end": 280.38, "word": " either", "probability": 0.62353515625}, {"start": 280.38, "end": 280.74, "word": " left", "probability": 0.94677734375}, {"start": 280.74, "end": 280.98, "word": " or", "probability": 0.9697265625}, {"start": 280.98, "end": 281.34, "word": " right.", "probability": 0.919921875}, {"start": 282.96, "end": 283.7, "word": " And", "probability": 0.95166015625}, {"start": 283.7, "end": 284.0, "word": " the", "probability": 0.9150390625}, {"start": 284.0, "end": 284.36, "word": " question", "probability": 0.91650390625}, {"start": 284.36, "end": 284.86, "word": " is", "probability": 0.95166015625}, {"start": 284.86, "end": 287.02, "word": " test", "probability": 0.45068359375}, {"start": 287.02, "end": 287.42, "word": " to", "probability": 0.95458984375}, {"start": 287.42, "end": 287.62, "word": " see", "probability": 0.92822265625}, {"start": 287.62, "end": 288.04, "word": " whether", "probability": 0.9248046875}, {"start": 288.04, "end": 289.32, "word": " hand", "probability": 0.8798828125}, {"start": 289.32, "end": 289.88, "word": " preference", "probability": 0.89794921875}, {"start": 289.88, "end": 290.16, "word": " and", "probability": 0.93701171875}, {"start": 290.16, "end": 290.54, "word": " gender", "probability": 0.892578125}, {"start": 290.54, "end": 290.94, "word": " are", "probability": 0.94287109375}, {"start": 290.94, "end": 291.64, "word": " related", "probability": 0.96337890625}, {"start": 291.64, "end": 292.42, "word": " or", "probability": 0.875}, {"start": 292.42, "end": 292.66, "word": " not.", "probability": 0.94921875}, {"start": 292.76, "end": 292.9, "word": " In", "probability": 0.95947265625}, {"start": 292.9, "end": 293.1, "word": " this", "probability": 0.947265625}, {"start": 293.1, "end": 293.38, "word": " case,", "probability": 0.91845703125}, {"start": 293.54, "end": 293.7, "word": " your", "probability": 0.86083984375}, {"start": 293.7, "end": 294.24, "word": " null", "probability": 0.8369140625}, {"start": 294.24, "end": 294.78, "word": " hypothesis", "probability": 0.85205078125}, {"start": 294.78, "end": 295.74, "word": " could", "probability": 0.6884765625}, {"start": 295.74, "end": 295.94, "word": " be", "probability": 0.94482421875}, {"start": 295.94, "end": 296.26, "word": " written", "probability": 0.92578125}, {"start": 296.26, "end": 296.96, "word": " as", "probability": 0.95654296875}, {"start": 296.96, "end": 298.6, "word": " either", "probability": 0.94873046875}, {"start": 298.6, "end": 300.62, "word": " X0.", "probability": 0.563232421875}], "temperature": 1.0}, {"id": 12, "seek": 32268, "start": 304.22, "end": 322.68, "text": " So the proportion of left-handers for female equals the proportion of males left-handers. So by one equals by two or H zero later we'll see that the two variables of interest are independent.", "tokens": [407, 264, 16068, 295, 1411, 12, 5543, 433, 337, 6556, 6915, 264, 16068, 295, 20776, 1411, 12, 5543, 433, 13, 407, 538, 472, 6915, 538, 732, 420, 389, 4018, 1780, 321, 603, 536, 300, 264, 732, 9102, 295, 1179, 366, 6695, 13], "avg_logprob": -0.2678052297858305, "compression_ratio": 1.5238095238095237, "no_speech_prob": 0.0, "words": [{"start": 304.22, "end": 304.48, "word": " So", "probability": 0.78857421875}, {"start": 304.48, "end": 304.68, "word": " the", "probability": 0.73193359375}, {"start": 304.68, "end": 305.2, "word": " proportion", "probability": 0.8232421875}, {"start": 305.2, "end": 305.76, "word": " of", "probability": 0.96826171875}, {"start": 305.76, "end": 305.98, "word": " left", "probability": 0.92626953125}, {"start": 305.98, "end": 306.46, "word": "-handers", "probability": 0.8212890625}, {"start": 306.46, "end": 306.7, "word": " for", "probability": 0.87841796875}, {"start": 306.7, "end": 307.16, "word": " female", "probability": 0.67333984375}, {"start": 307.16, "end": 308.04, "word": " equals", "probability": 0.87939453125}, {"start": 308.04, "end": 308.34, "word": " the", "probability": 0.91357421875}, {"start": 308.34, "end": 308.8, "word": " proportion", "probability": 0.87353515625}, {"start": 308.8, "end": 309.46, "word": " of", "probability": 0.96142578125}, {"start": 309.46, "end": 310.82, "word": " males", "probability": 0.51904296875}, {"start": 310.82, "end": 311.14, "word": " left", "probability": 0.7470703125}, {"start": 311.14, "end": 311.66, "word": "-handers.", "probability": 0.9283854166666666}, {"start": 311.86, "end": 312.14, "word": " So", "probability": 0.92626953125}, {"start": 312.14, "end": 312.26, "word": " by", "probability": 0.3603515625}, {"start": 312.26, "end": 312.46, "word": " one", "probability": 0.57080078125}, {"start": 312.46, "end": 312.8, "word": " equals", "probability": 0.90966796875}, {"start": 312.8, "end": 313.0, "word": " by", "probability": 0.96533203125}, {"start": 313.0, "end": 313.28, "word": " two", "probability": 0.9375}, {"start": 313.28, "end": 313.74, "word": " or", "probability": 0.5380859375}, {"start": 313.74, "end": 315.34, "word": " H", "probability": 0.3037109375}, {"start": 315.34, "end": 315.64, "word": " zero", "probability": 0.62646484375}, {"start": 315.64, "end": 315.94, "word": " later", "probability": 0.6904296875}, {"start": 315.94, "end": 316.16, "word": " we'll", "probability": 0.501220703125}, {"start": 316.16, "end": 316.26, "word": " see", "probability": 0.92138671875}, {"start": 316.26, "end": 316.6, "word": " that", "probability": 0.9208984375}, {"start": 316.6, "end": 317.08, "word": " the", "probability": 0.8662109375}, {"start": 317.08, "end": 317.28, "word": " two", "probability": 0.94140625}, {"start": 317.28, "end": 317.82, "word": " variables", "probability": 0.9384765625}, {"start": 317.82, "end": 318.1, "word": " of", "probability": 0.95166015625}, {"start": 318.1, "end": 318.7, "word": " interest", "probability": 0.904296875}, {"start": 318.7, "end": 320.62, "word": " are", "probability": 0.9287109375}, {"start": 320.62, "end": 322.68, "word": " independent.", "probability": 0.63330078125}], "temperature": 1.0}, {"id": 13, "seek": 35771, "start": 332.81, "end": 357.71, "text": " Now, your B dash is given by X1 plus X2 divided by N1 plus N2. X1 is 12, this 12, plus 24 divided by 300. That will give 12%. So let me just write this notation, B dash.", "tokens": [823, 11, 428, 363, 8240, 307, 2212, 538, 1783, 16, 1804, 1783, 17, 6666, 538, 426, 16, 1804, 426, 17, 13, 1783, 16, 307, 2272, 11, 341, 2272, 11, 1804, 4022, 6666, 538, 6641, 13, 663, 486, 976, 2272, 6856, 407, 718, 385, 445, 2464, 341, 24657, 11, 363, 8240, 13], "avg_logprob": -0.19936898809212905, "compression_ratio": 1.328125, "no_speech_prob": 0.0, "words": [{"start": 332.81, "end": 333.17, "word": " Now,", "probability": 0.8427734375}, {"start": 333.65, "end": 334.21, "word": " your", "probability": 0.87060546875}, {"start": 334.21, "end": 334.43, "word": " B", "probability": 0.76171875}, {"start": 334.43, "end": 334.81, "word": " dash", "probability": 0.53662109375}, {"start": 334.81, "end": 337.83, "word": " is", "probability": 0.66943359375}, {"start": 337.83, "end": 338.07, "word": " given", "probability": 0.892578125}, {"start": 338.07, "end": 338.39, "word": " by", "probability": 0.966796875}, {"start": 338.39, "end": 338.83, "word": " X1", "probability": 0.6044921875}, {"start": 338.83, "end": 339.05, "word": " plus", "probability": 0.8154296875}, {"start": 339.05, "end": 339.43, "word": " X2", "probability": 0.9912109375}, {"start": 339.43, "end": 339.71, "word": " divided", "probability": 0.75244140625}, {"start": 339.71, "end": 339.87, "word": " by", "probability": 0.96923828125}, {"start": 339.87, "end": 340.19, "word": " N1", "probability": 0.962890625}, {"start": 340.19, "end": 340.53, "word": " plus", "probability": 0.95849609375}, {"start": 340.53, "end": 340.97, "word": " N2.", "probability": 0.998291015625}, {"start": 341.53, "end": 342.11, "word": " X1", "probability": 0.990966796875}, {"start": 342.11, "end": 342.25, "word": " is", "probability": 0.93017578125}, {"start": 342.25, "end": 342.83, "word": " 12,", "probability": 0.92041015625}, {"start": 344.05, "end": 344.35, "word": " this", "probability": 0.79931640625}, {"start": 344.35, "end": 344.73, "word": " 12,", "probability": 0.73046875}, {"start": 345.67, "end": 346.63, "word": " plus", "probability": 0.94921875}, {"start": 346.63, "end": 347.35, "word": " 24", "probability": 0.97900390625}, {"start": 347.35, "end": 348.73, "word": " divided", "probability": 0.65283203125}, {"start": 348.73, "end": 349.17, "word": " by", "probability": 0.97412109375}, {"start": 349.17, "end": 350.51, "word": " 300.", "probability": 0.97216796875}, {"start": 351.17, "end": 351.73, "word": " That", "probability": 0.90380859375}, {"start": 351.73, "end": 351.93, "word": " will", "probability": 0.8935546875}, {"start": 351.93, "end": 352.25, "word": " give", "probability": 0.8720703125}, {"start": 352.25, "end": 353.31, "word": " 12%.", "probability": 0.622802734375}, {"start": 353.31, "end": 353.93, "word": " So", "probability": 0.96044921875}, {"start": 353.93, "end": 354.09, "word": " let", "probability": 0.8505859375}, {"start": 354.09, "end": 354.19, "word": " me", "probability": 0.96337890625}, {"start": 354.19, "end": 354.43, "word": " just", "probability": 0.91796875}, {"start": 354.43, "end": 354.73, "word": " write", "probability": 0.87451171875}, {"start": 354.73, "end": 354.97, "word": " this", "probability": 0.9453125}, {"start": 354.97, "end": 355.51, "word": " notation,", "probability": 0.955078125}, {"start": 356.83, "end": 357.31, "word": " B", "probability": 0.79443359375}, {"start": 357.31, "end": 357.71, "word": " dash.", "probability": 0.92919921875}], "temperature": 1.0}, {"id": 14, "seek": 39068, "start": 365.56, "end": 390.68, "text": " equals 36 by 300, so that's 12%. So the expected frequency in this case for female, 0.12 times 120, because there are 120 females in the data you have, so that will give 14.4. So the expected frequency is 0.12 times 180, 120, I'm sorry,", "tokens": [6915, 8652, 538, 6641, 11, 370, 300, 311, 2272, 6856, 407, 264, 5176, 7893, 294, 341, 1389, 337, 6556, 11, 1958, 13, 4762, 1413, 10411, 11, 570, 456, 366, 10411, 21529, 294, 264, 1412, 291, 362, 11, 370, 300, 486, 976, 3499, 13, 19, 13, 407, 264, 5176, 7893, 307, 1958, 13, 4762, 1413, 11971, 11, 10411, 11, 286, 478, 2597, 11], "avg_logprob": -0.1927083328602806, "compression_ratio": 1.5192307692307692, "no_speech_prob": 0.0, "words": [{"start": 365.55999999999995, "end": 366.21999999999997, "word": " equals", "probability": 0.33544921875}, {"start": 366.21999999999997, "end": 366.88, "word": " 36", "probability": 0.9326171875}, {"start": 366.88, "end": 368.92, "word": " by", "probability": 0.88720703125}, {"start": 368.92, "end": 369.46, "word": " 300,", "probability": 0.95947265625}, {"start": 369.66, "end": 369.86, "word": " so", "probability": 0.939453125}, {"start": 369.86, "end": 370.34, "word": " that's", "probability": 0.956787109375}, {"start": 370.34, "end": 371.26, "word": " 12%.", "probability": 0.862548828125}, {"start": 371.26, "end": 373.22, "word": " So", "probability": 0.96142578125}, {"start": 373.22, "end": 373.38, "word": " the", "probability": 0.69970703125}, {"start": 373.38, "end": 373.74, "word": " expected", "probability": 0.91650390625}, {"start": 373.74, "end": 374.38, "word": " frequency", "probability": 0.94970703125}, {"start": 374.38, "end": 375.68, "word": " in", "probability": 0.57177734375}, {"start": 375.68, "end": 375.88, "word": " this", "probability": 0.94775390625}, {"start": 375.88, "end": 376.14, "word": " case", "probability": 0.90234375}, {"start": 376.14, "end": 376.32, "word": " for", "probability": 0.8603515625}, {"start": 376.32, "end": 376.78, "word": " female,", "probability": 0.7919921875}, {"start": 378.04, "end": 378.46, "word": " 0", "probability": 0.7490234375}, {"start": 378.46, "end": 378.78, "word": ".12", "probability": 0.96484375}, {"start": 378.78, "end": 379.08, "word": " times", "probability": 0.85595703125}, {"start": 379.08, "end": 379.5, "word": " 120,", "probability": 0.90966796875}, {"start": 379.68, "end": 379.9, "word": " because", "probability": 0.90478515625}, {"start": 379.9, "end": 380.06, "word": " there", "probability": 0.9091796875}, {"start": 380.06, "end": 380.18, "word": " are", "probability": 0.94287109375}, {"start": 380.18, "end": 380.58, "word": " 120", "probability": 0.91162109375}, {"start": 380.58, "end": 381.18, "word": " females", "probability": 0.9580078125}, {"start": 381.18, "end": 381.56, "word": " in", "probability": 0.91748046875}, {"start": 381.56, "end": 381.7, "word": " the", "probability": 0.921875}, {"start": 381.7, "end": 381.94, "word": " data", "probability": 0.9365234375}, {"start": 381.94, "end": 382.14, "word": " you", "probability": 0.94677734375}, {"start": 382.14, "end": 382.46, "word": " have,", "probability": 0.93994140625}, {"start": 382.86, "end": 382.98, "word": " so", "probability": 0.9423828125}, {"start": 382.98, "end": 383.16, "word": " that", "probability": 0.93603515625}, {"start": 383.16, "end": 383.32, "word": " will", "probability": 0.8603515625}, {"start": 383.32, "end": 383.5, "word": " give", "probability": 0.497802734375}, {"start": 383.5, "end": 383.84, "word": " 14", "probability": 0.6376953125}, {"start": 383.84, "end": 384.32, "word": ".4.", "probability": 0.99462890625}, {"start": 384.66, "end": 384.82, "word": " So", "probability": 0.96630859375}, {"start": 384.82, "end": 384.98, "word": " the", "probability": 0.837890625}, {"start": 384.98, "end": 385.52, "word": " expected", "probability": 0.90478515625}, {"start": 385.52, "end": 386.7, "word": " frequency", "probability": 0.73681640625}, {"start": 386.7, "end": 386.9, "word": " is", "probability": 0.8701171875}, {"start": 386.9, "end": 387.16, "word": " 0", "probability": 0.93701171875}, {"start": 387.16, "end": 387.58, "word": ".12", "probability": 0.992919921875}, {"start": 387.58, "end": 388.46, "word": " times", "probability": 0.87841796875}, {"start": 388.46, "end": 389.02, "word": " 180,", "probability": 0.5751953125}, {"start": 389.76, "end": 390.2, "word": " 120,", "probability": 0.72998046875}, {"start": 390.44, "end": 390.52, "word": " I'm", "probability": 0.92138671875}, {"start": 390.52, "end": 390.68, "word": " sorry,", "probability": 0.8466796875}], "temperature": 1.0}, {"id": 15, "seek": 41843, "start": 394.81, "end": 418.43, "text": " That will give 14.4. Similarly, for male to be left-handed is 0.12 times number of females in the sample, which is 180, and that will give 21.6. Now, since you compute the expected for the first cell, the second one direct is just the complement 120.", "tokens": [663, 486, 976, 3499, 13, 19, 13, 13157, 11, 337, 7133, 281, 312, 1411, 12, 25407, 307, 1958, 13, 4762, 1413, 1230, 295, 21529, 294, 264, 6889, 11, 597, 307, 11971, 11, 293, 300, 486, 976, 5080, 13, 21, 13, 823, 11, 1670, 291, 14722, 264, 5176, 337, 264, 700, 2815, 11, 264, 1150, 472, 2047, 307, 445, 264, 17103, 10411, 13], "avg_logprob": -0.2214781760223328, "compression_ratio": 1.4101123595505618, "no_speech_prob": 0.0, "words": [{"start": 394.81, "end": 395.07, "word": " That", "probability": 0.3037109375}, {"start": 395.07, "end": 395.27, "word": " will", "probability": 0.8125}, {"start": 395.27, "end": 395.49, "word": " give", "probability": 0.6005859375}, {"start": 395.49, "end": 395.89, "word": " 14", "probability": 0.70556640625}, {"start": 395.89, "end": 396.27, "word": ".4.", "probability": 0.9267578125}, {"start": 396.55, "end": 397.09, "word": " Similarly,", "probability": 0.84228515625}, {"start": 398.05, "end": 398.37, "word": " for", "probability": 0.94140625}, {"start": 398.37, "end": 398.73, "word": " male", "probability": 0.72119140625}, {"start": 398.73, "end": 399.43, "word": " to", "probability": 0.75732421875}, {"start": 399.43, "end": 399.59, "word": " be", "probability": 0.95947265625}, {"start": 399.59, "end": 399.81, "word": " left", "probability": 0.9267578125}, {"start": 399.81, "end": 400.31, "word": "-handed", "probability": 0.755615234375}, {"start": 400.31, "end": 401.09, "word": " is", "probability": 0.470947265625}, {"start": 401.09, "end": 401.33, "word": " 0", "probability": 0.79345703125}, {"start": 401.33, "end": 401.65, "word": ".12", "probability": 0.994140625}, {"start": 401.65, "end": 402.09, "word": " times", "probability": 0.8251953125}, {"start": 402.09, "end": 402.45, "word": " number", "probability": 0.77978515625}, {"start": 402.45, "end": 402.63, "word": " of", "probability": 0.9697265625}, {"start": 402.63, "end": 403.03, "word": " females", "probability": 0.94677734375}, {"start": 403.03, "end": 403.23, "word": " in", "probability": 0.93408203125}, {"start": 403.23, "end": 403.39, "word": " the", "probability": 0.837890625}, {"start": 403.39, "end": 403.65, "word": " sample,", "probability": 0.85595703125}, {"start": 403.81, "end": 403.93, "word": " which", "probability": 0.94775390625}, {"start": 403.93, "end": 404.11, "word": " is", "probability": 0.94482421875}, {"start": 404.11, "end": 404.49, "word": " 180,", "probability": 0.89404296875}, {"start": 404.93, "end": 405.13, "word": " and", "probability": 0.88720703125}, {"start": 405.13, "end": 405.29, "word": " that", "probability": 0.88037109375}, {"start": 405.29, "end": 405.43, "word": " will", "probability": 0.87109375}, {"start": 405.43, "end": 405.59, "word": " give", "probability": 0.87939453125}, {"start": 405.59, "end": 405.89, "word": " 21", "probability": 0.568359375}, {"start": 405.89, "end": 406.69, "word": ".6.", "probability": 0.997314453125}, {"start": 408.67, "end": 409.31, "word": " Now,", "probability": 0.9345703125}, {"start": 409.95, "end": 410.29, "word": " since", "probability": 0.8623046875}, {"start": 410.29, "end": 410.51, "word": " you", "probability": 0.9384765625}, {"start": 410.51, "end": 411.09, "word": " compute", "probability": 0.88720703125}, {"start": 411.09, "end": 412.05, "word": " the", "probability": 0.7529296875}, {"start": 412.05, "end": 412.51, "word": " expected", "probability": 0.96826171875}, {"start": 412.51, "end": 412.75, "word": " for", "probability": 0.93994140625}, {"start": 412.75, "end": 412.93, "word": " the", "probability": 0.919921875}, {"start": 412.93, "end": 413.19, "word": " first", "probability": 0.8681640625}, {"start": 413.19, "end": 413.45, "word": " cell,", "probability": 0.93408203125}, {"start": 413.53, "end": 413.65, "word": " the", "probability": 0.90869140625}, {"start": 413.65, "end": 413.95, "word": " second", "probability": 0.8876953125}, {"start": 413.95, "end": 414.37, "word": " one", "probability": 0.9228515625}, {"start": 414.37, "end": 415.05, "word": " direct", "probability": 0.60888671875}, {"start": 415.05, "end": 415.87, "word": " is", "probability": 0.74755859375}, {"start": 415.87, "end": 416.19, "word": " just", "probability": 0.72607421875}, {"start": 416.19, "end": 417.19, "word": " the", "probability": 0.75732421875}, {"start": 417.19, "end": 417.59, "word": " complement", "probability": 0.78271484375}, {"start": 417.59, "end": 418.43, "word": " 120.", "probability": 0.611328125}], "temperature": 1.0}, {"id": 16, "seek": 43562, "start": 419.48, "end": 435.62, "text": " 120 is sample size for the Rome. I mean female total 120 minus 14.4 will give 105.6. Or 0.88 times 120 will give the same value.", "tokens": [10411, 307, 6889, 2744, 337, 264, 12043, 13, 286, 914, 6556, 3217, 10411, 3175, 3499, 13, 19, 486, 976, 33705, 13, 21, 13, 1610, 1958, 13, 16919, 1413, 10411, 486, 976, 264, 912, 2158, 13], "avg_logprob": -0.2858072850439284, "compression_ratio": 1.18348623853211, "no_speech_prob": 0.0, "words": [{"start": 419.48, "end": 420.08, "word": " 120", "probability": 0.5}, {"start": 420.08, "end": 420.56, "word": " is", "probability": 0.7939453125}, {"start": 420.56, "end": 421.14, "word": " sample", "probability": 0.363525390625}, {"start": 421.14, "end": 421.6, "word": " size", "probability": 0.8408203125}, {"start": 421.6, "end": 421.82, "word": " for", "probability": 0.8896484375}, {"start": 421.82, "end": 421.98, "word": " the", "probability": 0.880859375}, {"start": 421.98, "end": 422.24, "word": " Rome.", "probability": 0.1212158203125}, {"start": 422.78, "end": 422.84, "word": " I", "probability": 0.87109375}, {"start": 422.84, "end": 423.02, "word": " mean", "probability": 0.96923828125}, {"start": 423.02, "end": 423.64, "word": " female", "probability": 0.4296875}, {"start": 423.64, "end": 424.16, "word": " total", "probability": 0.55859375}, {"start": 424.16, "end": 424.74, "word": " 120", "probability": 0.7978515625}, {"start": 424.74, "end": 425.76, "word": " minus", "probability": 0.90478515625}, {"start": 425.76, "end": 426.74, "word": " 14", "probability": 0.9443359375}, {"start": 426.74, "end": 427.2, "word": ".4", "probability": 0.975341796875}, {"start": 427.2, "end": 427.34, "word": " will", "probability": 0.7666015625}, {"start": 427.34, "end": 427.6, "word": " give", "probability": 0.841796875}, {"start": 427.6, "end": 428.4, "word": " 105", "probability": 0.93798828125}, {"start": 428.4, "end": 429.02, "word": ".6.", "probability": 0.98876953125}, {"start": 429.72, "end": 430.06, "word": " Or", "probability": 0.90625}, {"start": 430.06, "end": 432.2, "word": " 0", "probability": 0.6171875}, {"start": 432.2, "end": 432.82, "word": ".88", "probability": 0.994140625}, {"start": 432.82, "end": 434.06, "word": " times", "probability": 0.76708984375}, {"start": 434.06, "end": 434.54, "word": " 120", "probability": 0.9013671875}, {"start": 434.54, "end": 434.8, "word": " will", "probability": 0.86376953125}, {"start": 434.8, "end": 434.94, "word": " give", "probability": 0.8798828125}, {"start": 434.94, "end": 435.1, "word": " the", "probability": 0.904296875}, {"start": 435.1, "end": 435.3, "word": " same", "probability": 0.9091796875}, {"start": 435.3, "end": 435.62, "word": " value.", "probability": 0.96044921875}], "temperature": 1.0}, {"id": 17, "seek": 45967, "start": 437.15, "end": 459.67, "text": " Here, the expected is 21.6, so the compliment is the, I'm sorry, the expected is just the compliment, which is 180 minus 21.6 will give 158.4. Or 0.88 is the compliment of that one multiplied by 180 will give the same value. So that's the one we had discussed before.", "tokens": [1692, 11, 264, 5176, 307, 5080, 13, 21, 11, 370, 264, 16250, 307, 264, 11, 286, 478, 2597, 11, 264, 5176, 307, 445, 264, 16250, 11, 597, 307, 11971, 3175, 5080, 13, 21, 486, 976, 2119, 23, 13, 19, 13, 1610, 1958, 13, 16919, 307, 264, 16250, 295, 300, 472, 17207, 538, 11971, 486, 976, 264, 912, 2158, 13, 407, 300, 311, 264, 472, 321, 632, 7152, 949, 13], "avg_logprob": -0.1891741116132055, "compression_ratio": 1.5952380952380953, "no_speech_prob": 0.0, "words": [{"start": 437.15, "end": 437.63, "word": " Here,", "probability": 0.5859375}, {"start": 437.77, "end": 438.05, "word": " the", "probability": 0.82080078125}, {"start": 438.05, "end": 438.45, "word": " expected", "probability": 0.70947265625}, {"start": 438.45, "end": 438.67, "word": " is", "probability": 0.83544921875}, {"start": 438.67, "end": 439.01, "word": " 21", "probability": 0.96435546875}, {"start": 439.01, "end": 439.67, "word": ".6,", "probability": 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"end": 455.27, "word": " the", "probability": 0.9033203125}, {"start": 455.27, "end": 455.57, "word": " same", "probability": 0.91552734375}, {"start": 455.57, "end": 456.49, "word": " value.", "probability": 0.75537109375}, {"start": 457.01, "end": 457.17, "word": " So", "probability": 0.9560546875}, {"start": 457.17, "end": 457.59, "word": " that's", "probability": 0.907470703125}, {"start": 457.59, "end": 457.81, "word": " the", "probability": 0.9189453125}, {"start": 457.81, "end": 457.97, "word": " one", "probability": 0.93212890625}, {"start": 457.97, "end": 458.13, "word": " we", "probability": 0.9541015625}, {"start": 458.13, "end": 458.37, "word": " had", "probability": 0.78369140625}, {"start": 458.37, "end": 459.07, "word": " discussed", "probability": 0.88330078125}, {"start": 459.07, "end": 459.67, "word": " before.", "probability": 0.82421875}], "temperature": 1.0}, {"id": 18, "seek": 48847, "start": 462.41, "end": 488.47, "text": " On this result, you can determine the value of chi-square statistic by using this equation. Sum of F observed minus F expected squared divided by F expected for each cell. You have to compute the value of chi-square for each cell. In this case, the simplest case is just 2 by 2 table. So 12 minus 14.4 squared divided by 14.4.", "tokens": [1282, 341, 1874, 11, 291, 393, 6997, 264, 2158, 295, 13228, 12, 33292, 543, 29588, 538, 1228, 341, 5367, 13, 8626, 295, 479, 13095, 3175, 479, 5176, 8889, 6666, 538, 479, 5176, 337, 1184, 2815, 13, 509, 362, 281, 14722, 264, 2158, 295, 13228, 12, 33292, 543, 337, 1184, 2815, 13, 682, 341, 1389, 11, 264, 22811, 1389, 307, 445, 568, 538, 568, 3199, 13, 407, 2272, 3175, 3499, 13, 19, 8889, 6666, 538, 3499, 13, 19, 13], "avg_logprob": -0.15852453172961367, "compression_ratio": 1.694300518134715, "no_speech_prob": 0.0, "words": [{"start": 462.41, "end": 462.83, "word": " On", "probability": 0.8798828125}, {"start": 462.83, "end": 463.57, "word": " this", "probability": 0.94580078125}, {"start": 463.57, "end": 464.01, "word": " result,", "probability": 0.95068359375}, {"start": 464.55, "end": 465.11, "word": " you", "probability": 0.955078125}, {"start": 465.11, "end": 465.35, "word": " can", "probability": 0.943359375}, {"start": 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0.83203125}, {"start": 483.67, "end": 483.91, "word": " So", "probability": 0.94873046875}, {"start": 483.91, "end": 484.25, "word": " 12", "probability": 0.65576171875}, {"start": 484.25, "end": 484.57, "word": " minus", "probability": 0.97314453125}, {"start": 484.57, "end": 485.11, "word": " 14", "probability": 0.9755859375}, {"start": 485.11, "end": 485.65, "word": ".4", "probability": 0.907958984375}, {"start": 485.65, "end": 486.29, "word": " squared", "probability": 0.845703125}, {"start": 486.29, "end": 487.31, "word": " divided", "probability": 0.7470703125}, {"start": 487.31, "end": 487.55, "word": " by", "probability": 0.9619140625}, {"start": 487.55, "end": 487.89, "word": " 14", "probability": 0.9677734375}, {"start": 487.89, "end": 488.47, "word": ".4.", "probability": 0.99853515625}], "temperature": 1.0}, {"id": 19, "seek": 51224, "start": 489.32, "end": 512.24, "text": " Plus the second one 108 minus 105 squared divided by 105 up to the last one, you will get this result. Now my chi-square value is 0.7576. And in this case, if chi-square value is very small, I mean it's close to zero, then we don't reject the null hypothesis.", "tokens": [7721, 264, 1150, 472, 41342, 3175, 33705, 8889, 6666, 538, 33705, 493, 281, 264, 1036, 472, 11, 291, 486, 483, 341, 1874, 13, 823, 452, 13228, 12, 33292, 543, 2158, 307, 1958, 13, 11901, 25026, 13, 400, 294, 341, 1389, 11, 498, 13228, 12, 33292, 543, 2158, 307, 588, 1359, 11, 286, 914, 309, 311, 1998, 281, 4018, 11, 550, 321, 500, 380, 8248, 264, 18184, 17291, 13], "avg_logprob": -0.20629528467205988, "compression_ratio": 1.4285714285714286, "no_speech_prob": 0.0, "words": [{"start": 489.32, "end": 489.72, "word": " Plus", "probability": 0.441650390625}, {"start": 489.72, "end": 489.98, "word": " the", "probability": 0.87548828125}, {"start": 489.98, "end": 490.32, "word": " second", "probability": 0.8701171875}, {"start": 490.32, "end": 490.68, "word": " one", "probability": 0.916015625}, {"start": 490.68, "end": 491.18, "word": " 108", "probability": 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happens only if f observed is close to f expected. So here if you look carefully for the observed and expected frequencies, you can tell if you can reject or don't reject the number. Now the difference between these values looks small, so that's lead to small chi-square.", "tokens": [1436, 264, 16998, 2158, 295, 13228, 12, 33292, 543, 307, 4018, 11, 293, 4018, 2314, 787, 498, 283, 13095, 307, 1998, 281, 283, 5176, 13, 407, 510, 498, 291, 574, 7500, 337, 264, 13095, 293, 5176, 20250, 11, 291, 393, 980, 498, 291, 393, 8248, 420, 500, 380, 8248, 264, 1230, 13, 823, 264, 2649, 1296, 613, 4190, 1542, 1359, 11, 370, 300, 311, 1477, 281, 1359, 13228, 12, 33292, 543, 13], "avg_logprob": -0.2043022292934052, "compression_ratio": 1.6225490196078431, "no_speech_prob": 0.0, "words": [{"start": 513.3, "end": 513.64, "word": " Because", "probability": 0.529296875}, {"start": 513.64, "end": 513.8, "word": " the", "probability": 0.8515625}, {"start": 513.8, "end": 514.14, "word": " smallest", "probability": 0.92333984375}, {"start": 514.14, "end": 514.44, "word": " value", "probability": 0.9697265625}, {"start": 514.44, "end": 514.56, "word": " of", "probability": 0.8720703125}, 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Because your chi-square value is very small. So we don't reject the null hypothesis. Or if you look carefully at the table, for the table we have here, for chi-square table. 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It's smaller than 1.32. 1.32 is a very small value. Then we don't reject. Then we don't reject x0. That's always, always true. 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And that's only true, only true for 2 by 2 table. That means this square is just Chi square 1.", "tokens": [5264, 565, 321, 2835, 300, 341, 2158, 307, 445, 502, 13, 22962, 8889, 13, 400, 300, 311, 787, 2074, 11, 787, 2074, 337, 568, 538, 568, 3199, 13, 663, 1355, 341, 3732, 307, 445, 17730, 3732, 502, 13], "avg_logprob": -0.3555689041431134, "compression_ratio": 1.3220338983050848, "no_speech_prob": 0.0, "words": [{"start": 663.7400000000001, "end": 664.5400000000001, "word": " Last", "probability": 0.0347900390625}, {"start": 664.5400000000001, "end": 665.34, "word": " time", "probability": 0.8681640625}, {"start": 665.34, "end": 665.48, "word": " we", "probability": 0.77783203125}, {"start": 665.48, "end": 665.82, "word": " mentioned", "probability": 0.7626953125}, {"start": 665.82, "end": 666.22, "word": " that", "probability": 0.91015625}, {"start": 666.22, "end": 666.58, "word": " this", "probability": 0.89404296875}, {"start": 666.58, "end": 666.94, "word": " value", "probability": 0.97412109375}, {"start": 666.94, "end": 667.16, "word": " is", "probability": 0.9404296875}, {"start": 667.16, "end": 667.6, "word": " just", "probability": 0.8876953125}, {"start": 667.6, "end": 668.68, "word": " 1", "probability": 0.923828125}, {"start": 668.68, "end": 669.68, "word": ".96", "probability": 0.9755859375}, {"start": 669.68, "end": 671.32, "word": " squared.", "probability": 0.6103515625}, {"start": 672.3, "end": 672.5, "word": " And", "probability": 0.74560546875}, {"start": 672.5, "end": 672.94, "word": " that's", "probability": 0.904541015625}, {"start": 672.94, "end": 673.34, "word": " only", "probability": 0.90673828125}, {"start": 673.34, "end": 673.7, "word": " true,", "probability": 0.953125}, {"start": 673.9, "end": 675.24, "word": " only", "probability": 0.91748046875}, {"start": 675.24, "end": 675.62, "word": " true", "probability": 0.96044921875}, {"start": 675.62, "end": 676.14, "word": " for", "probability": 0.9443359375}, {"start": 676.14, "end": 677.76, "word": " 2", "probability": 0.6044921875}, {"start": 677.76, "end": 677.98, "word": " by", "probability": 0.462890625}, {"start": 677.98, "end": 678.18, "word": " 2", "probability": 0.982421875}, {"start": 678.18, "end": 678.5, "word": " table.", "probability": 0.60693359375}, {"start": 680.74, "end": 681.54, "word": " That", "probability": 0.8408203125}, {"start": 681.54, "end": 682.02, "word": " means", "probability": 0.92578125}, {"start": 682.02, "end": 682.74, "word": " this", "probability": 0.396484375}, {"start": 682.74, "end": 683.32, "word": " square", "probability": 0.849609375}, {"start": 683.32, "end": 683.68, "word": " is", "probability": 0.9423828125}, {"start": 683.68, "end": 683.98, "word": " just", "probability": 0.8994140625}, {"start": 683.98, "end": 684.18, "word": " Chi", "probability": 0.431640625}, {"start": 684.18, "end": 684.48, "word": " square", "probability": 0.440673828125}, {"start": 684.48, "end": 684.8, "word": " 1.", "probability": 0.6923828125}], "temperature": 1.0}, {"id": 26, "seek": 70967, "start": 685.97, "end": 709.67, "text": " For this reason, we can test by one equal by two, by two methods, either this statistic or chi-square statistic. Both of them will give the same result. So let's go back to the question we have. My chi-square value is 0.77576.", "tokens": [1171, 341, 1778, 11, 321, 393, 1500, 538, 472, 2681, 538, 732, 11, 538, 732, 7150, 11, 2139, 341, 29588, 420, 13228, 12, 33292, 543, 29588, 13, 6767, 295, 552, 486, 976, 264, 912, 1874, 13, 407, 718, 311, 352, 646, 281, 264, 1168, 321, 362, 13, 1222, 13228, 12, 33292, 543, 2158, 307, 1958, 13, 22, 11901, 25026, 13], "avg_logprob": -0.18186474921273404, "compression_ratio": 1.41875, "no_speech_prob": 0.0, "words": [{"start": 685.97, "end": 686.23, "word": " For", "probability": 0.78466796875}, {"start": 686.23, "end": 686.49, "word": " this", "probability": 0.943359375}, {"start": 686.49, "end": 686.91, "word": " reason,", "probability": 0.97314453125}, {"start": 687.03, "end": 687.17, "word": " we", "probability": 0.958984375}, {"start": 687.17, "end": 687.63, "word": " can", "probability": 0.94775390625}, {"start": 687.63, "end": 688.97, "word": " test", "probability": 0.8427734375}, {"start": 688.97, "end": 689.19, "word": " by", "probability": 0.45458984375}, {"start": 689.19, "end": 689.47, "word": " one", "probability": 0.73828125}, {"start": 689.47, "end": 689.75, "word": " equal", "probability": 0.65771484375}, {"start": 689.75, "end": 690.03, "word": " by", "probability": 0.93896484375}, {"start": 690.03, "end": 690.45, "word": " two,", "probability": 0.93505859375}, {"start": 691.11, "end": 691.35, "word": " by", "probability": 0.96826171875}, {"start": 691.35, "end": 691.53, "word": " two", "probability": 0.9462890625}, {"start": 691.53, "end": 691.89, "word": " methods,", "probability": 0.8095703125}, {"start": 692.05, "end": 692.31, "word": " either", "probability": 0.9365234375}, {"start": 692.31, "end": 693.33, "word": " this", "probability": 0.50732421875}, {"start": 693.33, "end": 693.95, "word": " statistic", "probability": 0.90673828125}, {"start": 693.95, "end": 694.99, "word": " or", "probability": 0.88525390625}, {"start": 694.99, "end": 695.29, "word": " chi", "probability": 0.4228515625}, {"start": 695.29, "end": 695.63, "word": "-square", "probability": 0.8292643229166666}, {"start": 695.63, "end": 696.07, "word": " statistic.", "probability": 0.6591796875}, {"start": 696.87, "end": 697.37, "word": " Both", "probability": 0.77294921875}, {"start": 697.37, "end": 697.57, "word": " of", "probability": 0.96484375}, {"start": 697.57, "end": 697.75, "word": " them", "probability": 0.89599609375}, {"start": 697.75, "end": 697.89, "word": " will", "probability": 0.880859375}, {"start": 697.89, "end": 698.05, "word": " give", "probability": 0.89599609375}, {"start": 698.05, "end": 698.23, "word": " the", "probability": 0.91552734375}, {"start": 698.23, "end": 698.53, "word": " same", "probability": 0.900390625}, {"start": 698.53, "end": 699.43, "word": " result.", "probability": 0.92138671875}, {"start": 700.07, "end": 700.23, "word": " So", "probability": 0.94921875}, {"start": 700.23, "end": 700.47, "word": " let's", "probability": 0.865478515625}, {"start": 700.47, "end": 700.63, "word": " go", "probability": 0.96435546875}, {"start": 700.63, "end": 700.97, "word": " back", "probability": 0.86962890625}, {"start": 700.97, "end": 701.85, "word": " to", "probability": 0.9560546875}, {"start": 701.85, "end": 701.97, "word": " the", "probability": 0.92041015625}, {"start": 701.97, "end": 702.27, "word": " question", "probability": 0.91650390625}, {"start": 702.27, "end": 702.45, "word": " we", "probability": 0.94384765625}, {"start": 702.45, "end": 702.69, "word": " have.", "probability": 0.62548828125}, {"start": 703.13, "end": 703.33, "word": " My", "probability": 0.974609375}, {"start": 703.33, "end": 703.57, "word": " chi", "probability": 0.8662109375}, {"start": 703.57, "end": 703.87, "word": "-square", "probability": 0.9627278645833334}, {"start": 703.87, "end": 704.25, "word": " value", "probability": 0.96533203125}, {"start": 704.25, "end": 704.61, "word": " is", "probability": 0.95068359375}, {"start": 704.61, "end": 705.29, "word": " 0", "probability": 0.69970703125}, {"start": 705.29, "end": 709.67, "word": ".77576.", "probability": 0.8465576171875}], "temperature": 1.0}, {"id": 27, "seek": 72218, "start": 712.16, "end": 722.18, "text": " So that's your chi-square statistic. Again, degrees of freedom 1 to chi-square, the critical value is 3.841.", "tokens": [407, 300, 311, 428, 13228, 12, 33292, 543, 29588, 13, 3764, 11, 5310, 295, 5645, 502, 281, 13228, 12, 33292, 543, 11, 264, 4924, 2158, 307, 805, 13, 23, 17344, 13], "avg_logprob": -0.24304199498146772, "compression_ratio": 1.1237113402061856, "no_speech_prob": 0.0, "words": [{"start": 712.16, "end": 712.46, "word": " So", "probability": 0.8955078125}, {"start": 712.46, "end": 712.82, "word": " that's", "probability": 0.8974609375}, {"start": 712.82, "end": 713.04, "word": " your", "probability": 0.876953125}, {"start": 713.04, "end": 713.3, "word": " chi", "probability": 0.338623046875}, {"start": 713.3, "end": 713.6, "word": "-square", "probability": 0.7390950520833334}, {"start": 713.6, "end": 714.14, "word": " statistic.", "probability": 0.80517578125}, {"start": 716.28, "end": 716.94, "word": " Again,", "probability": 0.91552734375}, {"start": 717.5, "end": 717.76, "word": " degrees", "probability": 0.95068359375}, {"start": 717.76, "end": 717.94, "word": " of", "probability": 0.9501953125}, {"start": 717.94, "end": 718.22, "word": " freedom", "probability": 0.9453125}, {"start": 718.22, "end": 718.56, "word": " 1", "probability": 0.3466796875}, {"start": 718.56, "end": 718.74, "word": " to", "probability": 0.65087890625}, {"start": 718.74, "end": 719.0, "word": " chi", "probability": 0.7685546875}, {"start": 719.0, "end": 719.36, "word": "-square,", "probability": 0.93017578125}, {"start": 719.78, "end": 719.92, "word": " the", "probability": 0.41552734375}, {"start": 719.92, "end": 720.24, "word": " critical", "probability": 0.95166015625}, {"start": 720.24, "end": 720.72, "word": " value", "probability": 0.974609375}, {"start": 720.72, "end": 721.16, "word": " is", "probability": 0.900390625}, {"start": 721.16, "end": 721.42, "word": " 3", "probability": 0.99267578125}, {"start": 721.42, "end": 722.18, "word": ".841.", "probability": 0.9163411458333334}], "temperature": 1.0}, {"id": 28, "seek": 75320, "start": 724.12, "end": 753.2, "text": " So my decision is we don't reject the null hypothesis. My conclusion is there is not sufficient evidence that two proportions are different. So you don't have sufficient evidence in order to support that the two proportions are different at 5% level of significance. We stopped last time at this point. Now suppose we are testing", "tokens": [407, 452, 3537, 307, 321, 500, 380, 8248, 264, 18184, 17291, 13, 1222, 10063, 307, 456, 307, 406, 11563, 4467, 300, 732, 32482, 366, 819, 13, 407, 291, 500, 380, 362, 11563, 4467, 294, 1668, 281, 1406, 300, 264, 732, 32482, 366, 819, 412, 1025, 4, 1496, 295, 17687, 13, 492, 5936, 1036, 565, 412, 341, 935, 13, 823, 7297, 321, 366, 4997], "avg_logprob": -0.11767577973660082, "compression_ratio": 1.7010309278350515, "no_speech_prob": 0.0, "words": [{"start": 724.12, "end": 724.38, "word": " So", "probability": 0.85986328125}, {"start": 724.38, "end": 724.56, "word": " my", "probability": 0.7529296875}, {"start": 724.56, "end": 724.92, "word": " decision", "probability": 0.92822265625}, {"start": 724.92, "end": 725.38, "word": " is", "probability": 0.95166015625}, {"start": 725.38, "end": 727.9, "word": " we", "probability": 0.41796875}, {"start": 727.9, "end": 728.14, "word": " don't", "probability": 0.9609375}, {"start": 728.14, "end": 728.5, 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The same steps, we have to extend in this case chi-square. Your null hypothesis, by one equal by two, all the way up to by C. So in this case, there are C columns. C columns and two rows.", "tokens": [440, 2649, 3654, 544, 813, 732, 32482, 13, 440, 912, 4439, 11, 321, 362, 281, 10101, 294, 341, 1389, 13228, 12, 33292, 543, 13, 2260, 18184, 17291, 11, 538, 472, 2681, 538, 732, 11, 439, 264, 636, 493, 281, 538, 383, 13, 407, 294, 341, 1389, 11, 456, 366, 383, 13766, 13, 383, 13766, 293, 732, 13241, 13], "avg_logprob": -0.2575476563582986, "compression_ratio": 1.4567901234567902, "no_speech_prob": 0.0, "words": [{"start": 754.21, "end": 754.51, "word": " The", "probability": 0.5068359375}, {"start": 754.51, "end": 755.11, "word": " difference", "probability": 0.81689453125}, {"start": 755.11, "end": 755.61, "word": " among", "probability": 0.931640625}, {"start": 755.61, "end": 756.27, "word": " more", "probability": 0.935546875}, {"start": 756.27, "end": 756.47, "word": " than", "probability": 0.9462890625}, {"start": 756.47, "end": 756.67, "word": " two", "probability": 0.84033203125}, {"start": 756.67, "end": 757.23, "word": " proportions.", "probability": 0.82275390625}, {"start": 758.75, "end": 759.35, "word": " The", "probability": 0.8212890625}, {"start": 759.35, "end": 759.59, "word": " same", "probability": 0.8994140625}, {"start": 759.59, "end": 760.05, "word": " steps,", "probability": 0.89208984375}, {"start": 761.05, "end": 761.51, "word": " we", "probability": 0.92333984375}, {"start": 761.51, "end": 761.81, "word": " have", "probability": 0.94482421875}, {"start": 761.81, "end": 762.03, "word": " to", "probability": 0.953125}, {"start": 762.03, "end": 762.53, "word": " extend", "probability": 0.90966796875}, {"start": 762.53, "end": 762.93, "word": " in", "probability": 0.74560546875}, {"start": 762.93, "end": 763.13, "word": " this", "probability": 0.9287109375}, {"start": 763.13, "end": 763.33, "word": " case", "probability": 0.88671875}, {"start": 763.33, "end": 763.61, "word": " chi", "probability": 0.399658203125}, {"start": 763.61, "end": 764.03, "word": "-square.", "probability": 0.76513671875}, {"start": 765.19, "end": 765.51, "word": " Your", "probability": 0.8154296875}, {"start": 765.51, "end": 766.37, "word": " null", "probability": 0.91943359375}, {"start": 766.37, "end": 766.93, "word": " hypothesis,", "probability": 0.80908203125}, {"start": 767.53, "end": 767.59, "word": " by", "probability": 0.302978515625}, {"start": 767.59, "end": 767.83, "word": " one", "probability": 0.58642578125}, {"start": 767.83, "end": 768.07, "word": " equal", "probability": 0.798828125}, {"start": 768.07, "end": 768.27, "word": " by", "probability": 0.9072265625}, {"start": 768.27, "end": 768.55, "word": " two,", "probability": 0.92724609375}, {"start": 768.65, "end": 768.85, "word": " all", "probability": 0.94970703125}, {"start": 768.85, "end": 768.99, "word": " the", "probability": 0.91796875}, {"start": 768.99, "end": 769.13, "word": " way", "probability": 0.94970703125}, {"start": 769.13, "end": 769.33, "word": " up", "probability": 0.9462890625}, {"start": 769.33, "end": 769.49, "word": " to", "probability": 0.95947265625}, {"start": 769.49, "end": 769.65, "word": " by", "probability": 0.6630859375}, {"start": 769.65, "end": 769.97, "word": " C.", "probability": 0.56005859375}, {"start": 770.45, "end": 770.69, "word": " So", "probability": 0.95556640625}, {"start": 770.69, "end": 770.81, "word": " in", "probability": 0.7197265625}, {"start": 770.81, "end": 770.99, "word": " this", "probability": 0.9462890625}, {"start": 770.99, "end": 771.23, "word": " case,", "probability": 0.91015625}, {"start": 771.35, "end": 771.47, "word": " there", "probability": 0.89501953125}, {"start": 771.47, "end": 771.87, "word": " are", "probability": 0.94677734375}, {"start": 771.87, "end": 772.67, "word": " C", "probability": 0.96142578125}, {"start": 772.67, "end": 773.19, "word": " columns.", "probability": 0.8740234375}, {"start": 774.55, "end": 775.15, "word": " C", "probability": 0.85791015625}, {"start": 775.15, "end": 775.73, "word": " columns", "probability": 0.9462890625}, {"start": 775.73, "end": 780.11, "word": " and", "probability": 0.408447265625}, {"start": 780.11, "end": 780.39, "word": " two", "probability": 0.85498046875}, {"start": 780.39, "end": 780.73, "word": " rows.", "probability": 0.85595703125}], "temperature": 1.0}, {"id": 30, "seek": 80750, "start": 782.54, "end": 807.5, "text": " So number of columns equals C, and there are only two rows. So pi 1 equals pi 2, all the way up to pi C. So null hypothesis for the columns we have. There are C columns. Again, it's the alternative, not all of the pi J are equal, and J equals 1 up to C. Now, the only difference here, the degrees of freedom.", "tokens": [407, 1230, 295, 13766, 6915, 383, 11, 293, 456, 366, 787, 732, 13241, 13, 407, 3895, 502, 6915, 3895, 568, 11, 439, 264, 636, 493, 281, 3895, 383, 13, 407, 18184, 17291, 337, 264, 13766, 321, 362, 13, 821, 366, 383, 13766, 13, 3764, 11, 309, 311, 264, 8535, 11, 406, 439, 295, 264, 3895, 508, 366, 2681, 11, 293, 508, 6915, 502, 493, 281, 383, 13, 823, 11, 264, 787, 2649, 510, 11, 264, 5310, 295, 5645, 13], "avg_logprob": -0.20136718079447746, "compression_ratio": 1.592783505154639, "no_speech_prob": 0.0, "words": [{"start": 782.54, "end": 782.76, "word": " So", "probability": 0.927734375}, {"start": 782.76, "end": 783.04, "word": " number", "probability": 0.76611328125}, {"start": 783.04, "end": 783.24, "word": " of", "probability": 0.96875}, {"start": 783.24, "end": 783.68, "word": " columns", "probability": 0.94091796875}, {"start": 783.68, "end": 784.26, "word": " equals", "probability": 0.83740234375}, {"start": 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There are two rows, so 2 minus 1 times number of columns minus 1. 2 minus 1 is 1, c minus 1, 1 times c minus 1, c minus 1. So your degrees of freedom in this case is c minus 1.", "tokens": [1171, 568, 538, 269, 3199, 11, 568, 538, 269, 11, 5310, 295, 5645, 6915, 1230, 295, 13241, 3175, 502, 13, 821, 366, 732, 13241, 11, 370, 568, 3175, 502, 1413, 1230, 295, 13766, 3175, 502, 13, 568, 3175, 502, 307, 502, 11, 269, 3175, 502, 11, 502, 1413, 269, 3175, 502, 11, 269, 3175, 502, 13, 407, 428, 5310, 295, 5645, 294, 341, 1389, 307, 269, 3175, 502, 13], "avg_logprob": -0.15636160842009952, "compression_ratio": 1.8333333333333333, "no_speech_prob": 0.0, "words": [{"start": 811.37, "end": 811.69, "word": " For", "probability": 0.7646484375}, {"start": 811.69, "end": 811.97, "word": " 2", "probability": 0.615234375}, {"start": 811.97, "end": 812.19, "word": " by", "probability": 0.86328125}, {"start": 812.19, "end": 812.41, "word": " c", "probability": 0.611328125}, {"start": 812.41, "end": 812.85, "word": " table,", "probability": 0.80517578125}, {"start": 815.71, "end": 815.81, "word": " 2", "probability": 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For two by two table, degrees of freedom is just one. If there are C columns and we have the same number of rows, degrees of freedom is C minus one. And we have the same chi squared statistic, the same equation I mean.", "tokens": [407, 300, 311, 264, 787, 2649, 13, 1171, 732, 538, 732, 3199, 11, 5310, 295, 5645, 307, 445, 472, 13, 759, 456, 366, 383, 13766, 293, 321, 362, 264, 912, 1230, 295, 13241, 11, 5310, 295, 5645, 307, 383, 3175, 472, 13, 400, 321, 362, 264, 912, 13228, 8889, 29588, 11, 264, 912, 5367, 286, 914, 13], "avg_logprob": -0.18547952123757067, "compression_ratio": 1.5923566878980893, "no_speech_prob": 0.0, "words": [{"start": 840.07, "end": 840.27, "word": " So", "probability": 0.89404296875}, {"start": 840.27, "end": 840.57, "word": " that's", "probability": 0.87353515625}, {"start": 840.57, "end": 840.73, "word": " the", "probability": 0.91748046875}, {"start": 840.73, "end": 840.99, "word": " only", "probability": 0.94091796875}, {"start": 840.99, "end": 841.61, "word": " difference.", "probability": 0.857421875}, {"start": 842.57, "end": 842.71, "word": " For", "probability": 0.95556640625}, {"start": 842.71, "end": 842.87, "word": " two", "probability": 0.55078125}, {"start": 842.87, "end": 843.01, "word": " by", "probability": 0.8037109375}, {"start": 843.01, "end": 843.19, "word": " two", "probability": 0.943359375}, {"start": 843.19, "end": 843.49, "word": " table,", "probability": 0.7373046875}, {"start": 843.95, "end": 844.33, "word": " degrees", "probability": 0.85302734375}, {"start": 844.33, "end": 844.43, "word": " of", "probability": 0.90576171875}, {"start": 844.43, "end": 844.59, "word": " freedom", "probability": 0.93212890625}, {"start": 844.59, "end": 844.79, "word": " is", "probability": 0.8056640625}, {"start": 844.79, "end": 844.99, "word": " just", "probability": 0.9140625}, {"start": 844.99, "end": 845.25, "word": " one.", "probability": 0.8671875}, {"start": 846.51, "end": 846.89, "word": " If", "probability": 0.96826171875}, {"start": 846.89, "end": 847.13, "word": " there", "probability": 0.89453125}, {"start": 847.13, "end": 847.55, "word": " are", "probability": 0.94970703125}, {"start": 847.55, "end": 847.97, "word": " C", "probability": 0.5966796875}, {"start": 847.97, "end": 848.53, "word": " columns", "probability": 0.93994140625}, {"start": 848.53, "end": 849.35, "word": " and", "probability": 0.6142578125}, {"start": 849.35, "end": 849.47, "word": " we", "probability": 0.93701171875}, {"start": 849.47, "end": 849.59, "word": " have", "probability": 0.94921875}, {"start": 849.59, "end": 849.75, "word": " the", "probability": 0.9072265625}, {"start": 849.75, "end": 849.93, "word": " same", "probability": 0.90966796875}, {"start": 849.93, "end": 850.19, "word": " number", "probability": 0.93359375}, {"start": 850.19, "end": 850.35, "word": " of", "probability": 0.96484375}, {"start": 850.35, "end": 850.67, "word": " rows,", "probability": 0.904296875}, {"start": 851.45, "end": 851.73, "word": " degrees", "probability": 0.95068359375}, {"start": 851.73, "end": 851.93, "word": " of", "probability": 0.96630859375}, {"start": 851.93, "end": 852.17, "word": " freedom", "probability": 0.9150390625}, {"start": 852.17, "end": 852.43, "word": " is", "probability": 0.783203125}, {"start": 852.43, "end": 852.59, "word": " C", "probability": 0.92138671875}, {"start": 852.59, "end": 852.85, "word": " minus", "probability": 0.86474609375}, {"start": 852.85, "end": 853.25, "word": " one.", "probability": 0.75341796875}, {"start": 854.07, "end": 854.33, "word": " And", "probability": 0.94580078125}, {"start": 854.33, "end": 854.45, "word": " we", "probability": 0.93994140625}, {"start": 854.45, "end": 854.57, "word": " have", "probability": 0.9482421875}, {"start": 854.57, "end": 854.81, "word": " the", "probability": 0.9072265625}, {"start": 854.81, "end": 855.23, "word": " same", "probability": 0.90478515625}, {"start": 855.23, "end": 856.09, "word": " chi", "probability": 0.37744140625}, {"start": 856.09, "end": 856.35, "word": " squared", "probability": 0.353759765625}, {"start": 856.35, "end": 857.09, "word": " statistic,", "probability": 0.80224609375}, {"start": 858.09, "end": 858.39, "word": " the", "probability": 0.82666015625}, {"start": 858.39, "end": 858.55, "word": " same", "probability": 0.91552734375}, {"start": 858.55, "end": 858.97, "word": " equation", "probability": 0.970703125}, {"start": 858.97, "end": 859.19, "word": " I", "probability": 0.76904296875}, {"start": 859.19, "end": 859.39, "word": " mean.", "probability": 0.9677734375}], "temperature": 1.0}, {"id": 33, "seek": 88191, "start": 861.05, "end": 881.91, "text": " And we have to extend also the overall proportion instead of x1 plus x2 divided by n1 plus n2. It becomes x1 plus x2 plus x3 all the way up to xc because there are c columns divided by n1 plus n2 all the way up to nc. So that's x over n.", "tokens": [400, 321, 362, 281, 10101, 611, 264, 4787, 16068, 2602, 295, 2031, 16, 1804, 2031, 17, 6666, 538, 297, 16, 1804, 297, 17, 13, 467, 3643, 2031, 16, 1804, 2031, 17, 1804, 2031, 18, 439, 264, 636, 493, 281, 2031, 66, 570, 456, 366, 269, 13766, 6666, 538, 297, 16, 1804, 297, 17, 439, 264, 636, 493, 281, 297, 66, 13, 407, 300, 311, 2031, 670, 297, 13], "avg_logprob": -0.13937953157701355, "compression_ratio": 1.6081081081081081, "no_speech_prob": 0.0, "words": [{"start": 861.05, "end": 861.31, "word": " And", "probability": 0.86572265625}, {"start": 861.31, "end": 861.43, "word": " we", "probability": 0.91943359375}, {"start": 861.43, "end": 861.55, "word": " have", "probability": 0.9384765625}, {"start": 861.55, "end": 861.67, "word": " to", "probability": 0.96435546875}, {"start": 861.67, "end": 862.07, "word": " extend", "probability": 0.8798828125}, {"start": 862.07, "end": 862.63, "word": " also", "probability": 0.85595703125}, {"start": 862.63, "end": 863.41, "word": " the", "probability": 0.7294921875}, {"start": 863.41, "end": 863.89, "word": " overall", "probability": 0.892578125}, {"start": 863.89, "end": 864.37, "word": " proportion", "probability": 0.77099609375}, {"start": 864.37, "end": 865.13, "word": " instead", "probability": 0.484130859375}, {"start": 865.13, "end": 865.47, "word": " of", "probability": 0.96240234375}, {"start": 865.47, "end": 865.83, "word": " x1", "probability": 0.702880859375}, {"start": 865.83, "end": 866.11, "word": " plus", "probability": 0.82861328125}, {"start": 866.11, "end": 866.45, "word": " x2", "probability": 0.99609375}, {"start": 866.45, "end": 866.79, "word": " divided", "probability": 0.7080078125}, {"start": 866.79, "end": 867.01, "word": " by", "probability": 0.96484375}, {"start": 867.01, "end": 867.33, "word": " n1", "probability": 0.90966796875}, {"start": 867.33, "end": 867.65, "word": " plus", "probability": 0.958984375}, {"start": 867.65, "end": 868.05, "word": " n2.", "probability": 0.998046875}, {"start": 868.37, "end": 868.95, "word": " It", "probability": 0.94580078125}, {"start": 868.95, "end": 869.45, "word": " becomes", "probability": 0.88623046875}, {"start": 869.45, "end": 870.11, "word": " x1", "probability": 0.99169921875}, {"start": 870.11, "end": 870.39, "word": " plus", "probability": 0.951171875}, {"start": 870.39, "end": 870.89, "word": " x2", "probability": 0.993896484375}, {"start": 870.89, "end": 871.27, "word": " plus", "probability": 0.947265625}, {"start": 871.27, "end": 871.85, "word": " x3", "probability": 0.99609375}, {"start": 871.85, "end": 872.29, "word": " all", "probability": 0.787109375}, {"start": 872.29, "end": 872.45, "word": " the", "probability": 0.9208984375}, {"start": 872.45, "end": 872.61, "word": " way", "probability": 0.9541015625}, {"start": 872.61, "end": 872.83, "word": " up", "probability": 0.9580078125}, {"start": 872.83, "end": 872.99, "word": " to", "probability": 0.96923828125}, {"start": 872.99, "end": 873.57, "word": " xc", "probability": 0.8232421875}, {"start": 873.57, "end": 874.41, "word": " because", "probability": 0.5439453125}, {"start": 874.41, "end": 874.65, "word": " there", "probability": 0.8857421875}, {"start": 874.65, "end": 874.89, "word": " are", "probability": 0.9453125}, {"start": 874.89, "end": 875.37, "word": " c", "probability": 0.91064453125}, {"start": 875.37, "end": 876.49, "word": " columns", "probability": 0.90234375}, {"start": 876.49, "end": 877.75, "word": " divided", "probability": 0.3671875}, {"start": 877.75, "end": 877.99, "word": " by", "probability": 0.96484375}, {"start": 877.99, "end": 878.33, "word": " n1", "probability": 0.984130859375}, {"start": 878.33, "end": 878.69, "word": " plus", "probability": 0.95556640625}, {"start": 878.69, "end": 879.05, "word": " n2", "probability": 0.996337890625}, {"start": 879.05, "end": 879.29, "word": " all", "probability": 0.876953125}, {"start": 879.29, "end": 879.43, "word": " the", "probability": 0.916015625}, {"start": 879.43, "end": 879.55, "word": " way", "probability": 0.94921875}, {"start": 879.55, "end": 879.71, "word": " up", "probability": 0.95068359375}, {"start": 879.71, "end": 879.83, "word": " to", "probability": 0.96044921875}, {"start": 879.83, "end": 880.25, "word": " nc.", "probability": 0.90185546875}, {"start": 880.63, "end": 880.85, "word": " So", "probability": 0.9384765625}, {"start": 880.85, "end": 881.15, "word": " that's", "probability": 0.890869140625}, {"start": 881.15, "end": 881.41, "word": " x", "probability": 0.99169921875}, {"start": 881.41, "end": 881.71, "word": " over", "probability": 0.8681640625}, {"start": 881.71, "end": 881.91, "word": " n.", "probability": 0.7392578125}], "temperature": 1.0}, {"id": 34, "seek": 91130, "start": 883.54, "end": 911.3, "text": " So similarly we can reject the null hypothesis if the value of chi-square statistic lies or falls in the rejection region. Other type of chi-square test is called chi-square test of independence. Generally speaking, most of the time there are more than two columns or more than two rows.", "tokens": [407, 14138, 321, 393, 8248, 264, 18184, 17291, 498, 264, 2158, 295, 13228, 12, 33292, 543, 29588, 9134, 420, 8804, 294, 264, 26044, 4458, 13, 5358, 2010, 295, 13228, 12, 33292, 543, 1500, 307, 1219, 13228, 12, 33292, 543, 1500, 295, 14640, 13, 21082, 4124, 11, 881, 295, 264, 565, 456, 366, 544, 813, 732, 13766, 420, 544, 813, 732, 13241, 13], "avg_logprob": -0.15141368905703226, "compression_ratio": 1.6551724137931034, "no_speech_prob": 0.0, "words": [{"start": 883.5400000000001, "end": 884.2, "word": " So", "probability": 0.90185546875}, {"start": 884.2, "end": 884.86, "word": " similarly", "probability": 0.720703125}, {"start": 884.86, "end": 885.32, "word": " we", "probability": 0.50927734375}, {"start": 885.32, "end": 885.6, "word": " can", "probability": 0.94189453125}, {"start": 885.6, "end": 886.42, "word": " reject", "probability": 0.89013671875}, {"start": 886.42, "end": 886.7, "word": " the", "probability": 0.85107421875}, {"start": 886.7, "end": 886.88, "word": " null", "probability": 0.95263671875}, {"start": 886.88, "end": 887.34, "word": " hypothesis", "probability": 0.88671875}, {"start": 887.34, "end": 888.4, "word": " if", "probability": 0.8603515625}, {"start": 888.4, "end": 888.6, "word": " the", "probability": 0.91259765625}, {"start": 888.6, "end": 888.84, "word": " value", "probability": 0.96533203125}, {"start": 888.84, "end": 889.02, "word": " of", "probability": 0.9443359375}, {"start": 889.02, "end": 889.16, "word": " chi", "probability": 0.390625}, {"start": 889.16, "end": 889.42, "word": "-square", "probability": 0.8240559895833334}, {"start": 889.42, "end": 889.8, "word": " statistic", "probability": 0.45751953125}, {"start": 889.8, "end": 890.7, "word": " lies", "probability": 0.90576171875}, {"start": 890.7, "end": 891.0, "word": " or", "probability": 0.89599609375}, {"start": 891.0, "end": 891.44, "word": " falls", "probability": 0.77783203125}, {"start": 891.44, "end": 892.26, "word": " in", "probability": 0.9306640625}, {"start": 892.26, "end": 892.62, "word": " the", "probability": 0.92041015625}, {"start": 892.62, "end": 893.32, "word": " rejection", "probability": 0.94140625}, {"start": 893.32, "end": 894.16, "word": " region.", "probability": 0.85595703125}, {"start": 898.12, "end": 898.78, "word": " Other", "probability": 0.7314453125}, {"start": 898.78, "end": 899.18, "word": " type", "probability": 0.9609375}, {"start": 899.18, "end": 899.38, "word": " of", "probability": 0.97314453125}, {"start": 899.38, "end": 899.6, "word": " chi", "probability": 0.736328125}, {"start": 899.6, "end": 900.0, "word": "-square", "probability": 0.9532877604166666}, {"start": 900.0, "end": 900.6, "word": " test", "probability": 0.82861328125}, {"start": 900.6, "end": 901.06, "word": " is", "probability": 0.94140625}, {"start": 901.06, "end": 901.4, "word": " called", "probability": 0.91552734375}, {"start": 901.4, "end": 901.66, "word": " chi", "probability": 0.78173828125}, {"start": 901.66, "end": 901.98, "word": "-square", "probability": 0.9695638020833334}, {"start": 901.98, "end": 902.26, "word": " test", "probability": 0.900390625}, {"start": 902.26, "end": 902.44, "word": " of", "probability": 0.966796875}, {"start": 902.44, "end": 902.9, "word": " independence.", "probability": 0.8955078125}, {"start": 905.3, "end": 905.76, "word": " Generally", "probability": 0.57666015625}, {"start": 905.76, "end": 906.4, "word": " speaking,", "probability": 0.86279296875}, {"start": 907.08, "end": 907.24, "word": " most", "probability": 0.70654296875}, {"start": 907.24, "end": 907.38, "word": " of", "probability": 0.96728515625}, {"start": 907.38, "end": 907.46, "word": " the", "probability": 0.9189453125}, {"start": 907.46, "end": 907.7, "word": " time", "probability": 0.85693359375}, {"start": 907.7, "end": 907.92, "word": " there", "probability": 0.75048828125}, {"start": 907.92, "end": 908.26, "word": " are", "probability": 0.93896484375}, {"start": 908.26, "end": 908.54, "word": " more", "probability": 0.94287109375}, {"start": 908.54, "end": 908.8, "word": " than", "probability": 0.953125}, {"start": 908.8, "end": 909.08, "word": " two", "probability": 0.9072265625}, {"start": 909.08, "end": 909.58, "word": " columns", "probability": 0.9580078125}, {"start": 909.58, "end": 910.16, "word": " or", "probability": 0.83837890625}, {"start": 910.16, "end": 910.44, "word": " more", "probability": 0.94091796875}, {"start": 910.44, "end": 910.64, "word": " than", "probability": 0.95166015625}, {"start": 910.64, "end": 910.86, "word": " two", "probability": 0.92626953125}, {"start": 910.86, "end": 911.3, "word": " rows.", "probability": 0.9111328125}], "temperature": 1.0}, {"id": 35, "seek": 93351, "start": 912.95, "end": 933.51, "text": " Now, suppose we have contingency table that has R rows and C columns. And we are interested to test to see whether the two categorical variables are independent. 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That means there is a relationship between them. So test of independence. Null hypothesis is always the two variables, I mean, the two categorical variables are independent. So it's zero. 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So tests of independence for chi-square test to see whether or not the two variables are independent. So your null, two variables are independent against they are not independent. 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So, this statistic is no longer appropriate or valid for more than two proportions.", "tokens": [407, 11, 294, 1668, 281, 1500, 281, 536, 498, 544, 813, 732, 32482, 366, 2681, 11, 291, 2644, 764, 341, 29588, 13, 407, 11, 341, 29588, 307, 572, 2854, 6854, 420, 7363, 337, 544, 813, 732, 32482, 13], "avg_logprob": -0.1678685882152655, "compression_ratio": 1.564102564102564, "no_speech_prob": 0.0, "words": [{"start": 1021.14, "end": 1021.52, "word": " So,", "probability": 0.7177734375}, {"start": 1021.66, "end": 1021.74, "word": " in", "probability": 0.90966796875}, {"start": 1021.74, "end": 1021.94, "word": " order", "probability": 0.92236328125}, {"start": 1021.94, "end": 1022.16, "word": " to", "probability": 0.96875}, {"start": 1022.16, "end": 1022.44, "word": " test", "probability": 0.8671875}, {"start": 1022.44, "end": 1022.64, "word": " to", "probability": 0.75732421875}, {"start": 1022.64, "end": 1022.86, "word": " see", "probability": 0.92626953125}, {"start": 1022.86, "end": 1023.16, "word": " if", "probability": 0.92431640625}, {"start": 1023.16, "end": 1023.44, "word": " more", "probability": 0.9267578125}, {"start": 1023.44, "end": 1023.66, "word": " than", "probability": 0.9404296875}, {"start": 1023.66, "end": 1023.88, "word": " two", "probability": 0.73486328125}, {"start": 1023.88, "end": 1024.42, "word": " proportions", "probability": 0.76904296875}, {"start": 1024.42, "end": 1024.74, "word": " are", "probability": 0.9482421875}, {"start": 1024.74, "end": 1025.08, "word": " equal,", "probability": 0.880859375}, {"start": 1025.7, "end": 1026.02, "word": " you", "probability": 0.94482421875}, {"start": 1026.02, "end": 1026.36, "word": " cannot", "probability": 0.8125}, {"start": 1026.36, "end": 1026.72, "word": " use", "probability": 0.8798828125}, {"start": 1026.72, "end": 1026.9, "word": " this", "probability": 0.77294921875}, {"start": 1026.9, "end": 1027.34, "word": " statistic.", "probability": 0.8583984375}, {"start": 1028.3, "end": 1028.58, "word": " So,", "probability": 0.927734375}, {"start": 1028.68, "end": 1028.86, "word": " this", "probability": 0.93603515625}, {"start": 1028.86, "end": 1029.42, "word": " statistic", "probability": 0.9111328125}, {"start": 1029.42, "end": 1035.7, "word": " is", "probability": 0.5341796875}, {"start": 1035.7, "end": 1036.24, "word": " no", "probability": 0.935546875}, {"start": 1036.24, "end": 1036.8, "word": " longer", "probability": 0.93310546875}, {"start": 1036.8, "end": 1039.66, "word": " appropriate", "probability": 0.7490234375}, {"start": 1039.66, "end": 1041.92, "word": " or", "probability": 0.9052734375}, {"start": 1041.92, "end": 1042.36, "word": " valid", "probability": 0.966796875}, {"start": 1042.36, "end": 1043.5, "word": " for", "probability": 0.94287109375}, {"start": 1043.5, "end": 1045.54, "word": " more", "probability": 0.93798828125}, {"start": 1045.54, "end": 1045.94, "word": " than", "probability": 0.95068359375}, {"start": 1045.94, "end": 1047.6, "word": " two", "probability": 0.89990234375}, {"start": 1047.6, "end": 1048.16, "word": " proportions.", "probability": 0.85791015625}], "temperature": 1.0}, {"id": 40, "seek": 107610, "start": 1049.51, "end": 1076.11, "text": " In this case, you have to use chi-square test. So this statistic can be used only to test the difference between two proportions. But for more than two, you have to use chi-square test. So similar, chi-square test of independence is similar to chi-square test for equality of more than two proportions. But extend the concept.", "tokens": [682, 341, 1389, 11, 291, 362, 281, 764, 13228, 12, 33292, 543, 1500, 13, 407, 341, 29588, 393, 312, 1143, 787, 281, 1500, 264, 2649, 1296, 732, 32482, 13, 583, 337, 544, 813, 732, 11, 291, 362, 281, 764, 13228, 12, 33292, 543, 1500, 13, 407, 2531, 11, 13228, 12, 33292, 543, 1500, 295, 14640, 307, 2531, 281, 13228, 12, 33292, 543, 1500, 337, 14949, 295, 544, 813, 732, 32482, 13, 583, 10101, 264, 3410, 13], "avg_logprob": -0.15848214130897026, "compression_ratio": 1.9349112426035502, "no_speech_prob": 0.0, "words": [{"start": 1049.51, "end": 1049.79, "word": " In", "probability": 0.79248046875}, {"start": 1049.79, "end": 1050.05, "word": " this", "probability": 0.94580078125}, {"start": 1050.05, "end": 1050.37, "word": " case,", "probability": 0.916015625}, {"start": 1050.49, "end": 1050.55, "word": " you", "probability": 0.95751953125}, {"start": 1050.55, "end": 1050.77, "word": " have", "probability": 0.93896484375}, {"start": 1050.77, "end": 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But here we extend the concept to contingency tables with R rows and C columns. So we have the case R by C. So that's in general, there are R rows and C columns. 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So one more time, this statistic is valid only for two by two tables. So that means we can use z or chi-square to test if there is no difference between two population proportions. But for more than that, you have to use chi-square.", "tokens": [407, 294, 341, 1389, 11, 291, 2644, 764, 341, 29588, 13, 407, 472, 544, 565, 11, 341, 29588, 307, 7363, 787, 337, 732, 538, 732, 8020, 13, 407, 300, 1355, 321, 393, 764, 710, 420, 13228, 12, 33292, 543, 281, 1500, 498, 456, 307, 572, 2649, 1296, 732, 4415, 32482, 13, 583, 337, 544, 813, 300, 11, 291, 362, 281, 764, 13228, 12, 33292, 543, 13], "avg_logprob": -0.15671641524158306, "compression_ratio": 1.6242774566473988, "no_speech_prob": 0.0, "words": [{"start": 1107.08, "end": 1107.36, "word": " So", "probability": 0.908203125}, {"start": 1107.36, "end": 1107.48, "word": " in", "probability": 0.61279296875}, {"start": 1107.48, "end": 1107.62, "word": " this", "probability": 0.94287109375}, {"start": 1107.62, "end": 1107.82, "word": " case,", "probability": 0.9248046875}, {"start": 1107.92, "end": 1108.0, "word": " you", "probability": 0.9609375}, {"start": 1108.0, "end": 1108.3, "word": " cannot", "probability": 0.88623046875}, {"start": 1108.3, "end": 1108.84, "word": " use", "probability": 0.86279296875}, {"start": 1108.84, "end": 1109.22, "word": " this", "probability": 0.48779296875}, {"start": 1109.22, "end": 1109.72, "word": " statistic.", "probability": 0.79052734375}, {"start": 1110.34, "end": 1110.52, "word": " So", "probability": 0.95751953125}, {"start": 1110.52, "end": 1110.7, "word": " one", "probability": 0.8564453125}, {"start": 1110.7, "end": 1110.86, "word": " more", "probability": 0.92822265625}, {"start": 1110.86, "end": 1111.14, "word": " time,", "probability": 0.86767578125}, {"start": 1111.2, "end": 1111.34, "word": " this", "probability": 0.89306640625}, {"start": 1111.34, "end": 1111.86, "word": " statistic", "probability": 0.91845703125}, {"start": 1111.86, "end": 1112.22, "word": " is", "probability": 0.94775390625}, {"start": 1112.22, "end": 1112.54, "word": " valid", "probability": 0.96044921875}, {"start": 1112.54, "end": 1112.96, "word": " only", "probability": 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1121.9, "word": " population", "probability": 0.78955078125}, {"start": 1121.9, "end": 1122.4, "word": " proportions.", "probability": 0.47412109375}, {"start": 1123.1, "end": 1123.28, "word": " But", "probability": 0.9462890625}, {"start": 1123.28, "end": 1123.54, "word": " for", "probability": 0.93359375}, {"start": 1123.54, "end": 1123.78, "word": " more", "probability": 0.93896484375}, {"start": 1123.78, "end": 1123.96, "word": " than", "probability": 0.9501953125}, {"start": 1123.96, "end": 1124.28, "word": " that,", "probability": 0.931640625}, {"start": 1124.56, "end": 1124.72, "word": " you", "probability": 0.95654296875}, {"start": 1124.72, "end": 1124.94, "word": " have", "probability": 0.94384765625}, {"start": 1124.94, "end": 1125.08, "word": " to", "probability": 0.96923828125}, {"start": 1125.08, "end": 1125.42, "word": " use", "probability": 0.88330078125}, {"start": 1125.42, "end": 1126.34, "word": " chi", "probability": 0.88916015625}, {"start": 1126.34, "end": 1126.7, "word": "-square.", "probability": 0.9684244791666666}], "temperature": 1.0}, {"id": 43, "seek": 115599, "start": 1129.95, "end": 1155.99, "text": " Now still we have the same equation, Chi-square statistic is just sum F observed minus F expected quantity squared divided by F expected. In this case, Chi-square statistic for R by C case has degrees of freedom R minus 1 multiplied by C minus 1.", "tokens": [823, 920, 321, 362, 264, 912, 5367, 11, 17730, 12, 33292, 543, 29588, 307, 445, 2408, 479, 13095, 3175, 479, 5176, 11275, 8889, 6666, 538, 479, 5176, 13, 682, 341, 1389, 11, 17730, 12, 33292, 543, 29588, 337, 497, 538, 383, 1389, 575, 5310, 295, 5645, 497, 3175, 502, 17207, 538, 383, 3175, 502, 13], "avg_logprob": -0.20521763579121657, "compression_ratio": 1.5534591194968554, "no_speech_prob": 0.0, "words": [{"start": 1129.95, "end": 1130.27, "word": " Now", "probability": 0.93408203125}, {"start": 1130.27, "end": 1130.69, "word": " still", "probability": 0.76513671875}, {"start": 1130.69, "end": 1130.97, "word": " we", "probability": 0.69189453125}, {"start": 1130.97, "end": 1131.33, "word": " have", "probability": 0.94873046875}, {"start": 1131.33, "end": 1131.69, "word": " the", "probability": 0.8564453125}, {"start": 1131.69, "end": 1131.99, "word": " same", "probability": 0.916015625}, {"start": 1131.99, "end": 1132.57, "word": " equation,", "probability": 0.966796875}, {"start": 1132.87, "end": 1133.05, "word": " Chi", "probability": 0.37158203125}, {"start": 1133.05, "end": 1133.31, "word": "-square", "probability": 0.7174479166666666}, {"start": 1133.31, "end": 1133.85, "word": " statistic", "probability": 0.5263671875}, {"start": 1133.85, "end": 1134.27, "word": " is", "probability": 0.841796875}, {"start": 1134.27, "end": 1134.57, "word": " just", "probability": 0.90478515625}, {"start": 1134.57, "end": 1135.01, "word": " sum", "probability": 0.69287109375}, {"start": 1135.01, "end": 1136.07, "word": " F", "probability": 0.285888671875}, {"start": 1136.07, "end": 1136.57, "word": " observed", "probability": 0.8017578125}, {"start": 1136.57, "end": 1136.99, "word": " minus", "probability": 0.958984375}, {"start": 1136.99, "end": 1137.39, "word": " F", "probability": 0.943359375}, {"start": 1137.39, "end": 1137.87, "word": " expected", "probability": 0.91015625}, {"start": 1137.87, "end": 1138.31, "word": " quantity", "probability": 0.814453125}, {"start": 1138.31, "end": 1138.83, "word": " squared", "probability": 0.8564453125}, {"start": 1138.83, "end": 1139.81, "word": " divided", "probability": 0.48876953125}, {"start": 1139.81, "end": 1140.01, "word": " by", "probability": 0.97607421875}, {"start": 1140.01, "end": 1140.21, "word": " F", "probability": 0.92041015625}, {"start": 1140.21, "end": 1140.69, "word": " expected.", "probability": 0.9267578125}, {"start": 1143.49, "end": 1144.25, "word": " In", "probability": 0.712890625}, {"start": 1144.25, "end": 1144.47, "word": " this", "probability": 0.9482421875}, {"start": 1144.47, "end": 1144.73, "word": " case,", "probability": 0.9453125}, {"start": 1144.79, "end": 1144.97, "word": " Chi", "probability": 0.79248046875}, {"start": 1144.97, "end": 1145.35, "word": "-square", "probability": 0.8841145833333334}, {"start": 1145.35, "end": 1146.15, "word": " statistic", "probability": 0.86376953125}, {"start": 1146.15, "end": 1146.47, "word": " for", "probability": 0.9345703125}, {"start": 1146.47, "end": 1146.71, "word": " R", "probability": 0.720703125}, {"start": 1146.71, "end": 1146.91, "word": " by", "probability": 0.95849609375}, {"start": 1146.91, "end": 1147.13, "word": " C", "probability": 0.986328125}, {"start": 1147.13, "end": 1147.55, "word": " case", "probability": 0.92138671875}, {"start": 1147.55, "end": 1148.13, "word": " has", "probability": 0.91162109375}, {"start": 1148.13, "end": 1149.73, "word": " degrees", "probability": 0.935546875}, {"start": 1149.73, "end": 1150.03, "word": " of", "probability": 0.97119140625}, {"start": 1150.03, "end": 1150.47, "word": " freedom", "probability": 0.9404296875}, {"start": 1150.47, "end": 1152.97, "word": " R", "probability": 0.56298828125}, {"start": 1152.97, "end": 1153.29, "word": " minus", "probability": 0.9384765625}, {"start": 1153.29, "end": 1153.69, "word": " 1", "probability": 0.76611328125}, {"start": 1153.69, "end": 1154.77, "word": " multiplied", "probability": 0.67578125}, {"start": 1154.77, "end": 1155.13, "word": " by", "probability": 0.97021484375}, {"start": 1155.13, "end": 1155.43, "word": " C", "probability": 0.97509765625}, {"start": 1155.43, "end": 1155.69, "word": " minus", "probability": 0.98681640625}, {"start": 1155.69, "end": 1155.99, "word": " 1.", "probability": 0.99169921875}], "temperature": 1.0}, {"id": 44, "seek": 118619, "start": 1157.03, "end": 1186.19, "text": " In this case, each cell in the contingency table has expected frequency at least one instead of five. Now let's see how can we compute the expected cell frequency for each cell. The expected frequency is given by row total multiplied by colon total divided by n. So that's my new equation to determine", "tokens": [682, 341, 1389, 11, 1184, 2815, 294, 264, 27820, 3020, 3199, 575, 5176, 7893, 412, 1935, 472, 2602, 295, 1732, 13, 823, 718, 311, 536, 577, 393, 321, 14722, 264, 5176, 2815, 7893, 337, 1184, 2815, 13, 440, 5176, 7893, 307, 2212, 538, 5386, 3217, 17207, 538, 8255, 3217, 6666, 538, 297, 13, 407, 300, 311, 452, 777, 5367, 281, 6997], "avg_logprob": -0.1730090660914298, "compression_ratio": 1.641304347826087, "no_speech_prob": 0.0, "words": [{"start": 1157.03, "end": 1157.29, "word": " In", "probability": 0.72607421875}, {"start": 1157.29, "end": 1157.49, "word": " this", "probability": 0.94384765625}, {"start": 1157.49, "end": 1157.77, "word": " case,", "probability": 0.91796875}, {"start": 1157.91, "end": 1158.05, "word": " each", "probability": 0.927734375}, {"start": 1158.05, "end": 1158.27, "word": " cell", "probability": 0.884765625}, {"start": 1158.27, "end": 1158.43, "word": " in", "probability": 0.9150390625}, {"start": 1158.43, "end": 1158.57, "word": " the", "probability": 0.91943359375}, {"start": 1158.57, "end": 1159.15, "word": " contingency", "probability": 0.8076171875}, {"start": 1159.15, "end": 1159.47, "word": " table", "probability": 0.888671875}, {"start": 1159.47, "end": 1159.77, "word": " has", "probability": 0.8876953125}, {"start": 1159.77, "end": 1160.25, "word": " expected", "probability": 0.79541015625}, {"start": 1160.25, "end": 1160.81, "word": " frequency", "probability": 0.92822265625}, {"start": 1160.81, "end": 1161.03, "word": " at", "probability": 0.8095703125}, {"start": 1161.03, "end": 1161.23, "word": " least", "probability": 0.96240234375}, {"start": 1161.23, "end": 1161.53, "word": " one", "probability": 0.74755859375}, {"start": 1161.53, "end": 1163.21, "word": " instead", "probability": 0.4404296875}, {"start": 1163.21, "end": 1163.45, "word": " of", "probability": 0.9697265625}, {"start": 1163.45, "end": 1163.77, "word": " five.", "probability": 0.87158203125}, {"start": 1165.39, "end": 1165.99, "word": " Now", "probability": 0.94287109375}, {"start": 1165.99, "end": 1166.27, "word": " let's", "probability": 0.820556640625}, {"start": 1166.27, "end": 1166.39, "word": " see", "probability": 0.91650390625}, {"start": 1166.39, "end": 1166.51, "word": " how", "probability": 0.9150390625}, {"start": 1166.51, "end": 1166.73, "word": " can", "probability": 0.7705078125}, {"start": 1166.73, "end": 1166.91, "word": " we", "probability": 0.95703125}, {"start": 1166.91, "end": 1167.49, "word": " compute", "probability": 0.88916015625}, {"start": 1167.49, "end": 1169.01, "word": " the", "probability": 0.822265625}, {"start": 1169.01, "end": 1169.61, "word": " expected", "probability": 0.92138671875}, {"start": 1169.61, "end": 1170.03, "word": " cell", "probability": 0.88427734375}, {"start": 1170.03, "end": 1170.75, "word": " frequency", "probability": 0.95166015625}, {"start": 1170.75, "end": 1171.13, "word": " for", "probability": 0.94384765625}, {"start": 1171.13, "end": 1171.39, "word": " each", "probability": 0.939453125}, {"start": 1171.39, "end": 1171.69, "word": " cell.", "probability": 0.81884765625}, {"start": 1172.95, "end": 1173.19, "word": " The", "probability": 0.84814453125}, {"start": 1173.19, "end": 1173.67, "word": " expected", "probability": 0.9208984375}, {"start": 1173.67, "end": 1174.37, "word": " frequency", "probability": 0.9619140625}, {"start": 1174.37, "end": 1174.69, "word": " is", "probability": 0.94970703125}, {"start": 1174.69, "end": 1174.93, "word": " given", "probability": 0.89404296875}, {"start": 1174.93, "end": 1175.37, "word": " by", "probability": 0.970703125}, {"start": 1175.37, "end": 1177.07, "word": " row", "probability": 0.2861328125}, {"start": 1177.07, "end": 1177.53, "word": " total", "probability": 0.8251953125}, {"start": 1177.53, "end": 1179.37, "word": " multiplied", "probability": 0.57470703125}, {"start": 1179.37, "end": 1179.71, "word": " by", "probability": 0.97216796875}, {"start": 1179.71, "end": 1180.07, "word": " colon", "probability": 0.8095703125}, {"start": 1180.07, "end": 1180.59, "word": " total", "probability": 0.87109375}, {"start": 1180.59, "end": 1181.29, "word": " divided", "probability": 0.708984375}, {"start": 1181.29, "end": 1181.57, "word": " by", "probability": 0.9677734375}, {"start": 1181.57, "end": 1181.79, "word": " n.", "probability": 0.66650390625}, {"start": 1182.33, "end": 1182.65, "word": " So", "probability": 0.9619140625}, {"start": 1182.65, "end": 1182.95, "word": " that's", "probability": 0.911376953125}, {"start": 1182.95, "end": 1183.19, "word": " my", "probability": 0.96630859375}, {"start": 1183.19, "end": 1183.79, "word": " new", "probability": 0.89697265625}, {"start": 1183.79, "end": 1184.67, "word": " equation", "probability": 0.9619140625}, {"start": 1184.67, "end": 1185.63, "word": " to", "probability": 0.95068359375}, {"start": 1185.63, "end": 1186.19, "word": " determine", "probability": 0.908203125}], "temperature": 1.0}, {"id": 45, "seek": 121556, "start": 1188.62, "end": 1215.56, "text": " I've expected it. So the expected value for each cell is given by Rho total multiplied by Kono, total divided by N. Also, this equation is true for the previous example. If you go back a little bit here, now the", "tokens": [286, 600, 5176, 309, 13, 407, 264, 5176, 2158, 337, 1184, 2815, 307, 2212, 538, 497, 1289, 3217, 17207, 538, 591, 8957, 11, 3217, 6666, 538, 426, 13, 2743, 11, 341, 5367, 307, 2074, 337, 264, 3894, 1365, 13, 759, 291, 352, 646, 257, 707, 857, 510, 11, 586, 264], "avg_logprob": -0.34007354109894994, "compression_ratio": 1.394736842105263, "no_speech_prob": 0.0, "words": [{"start": 1188.62, "end": 1188.98, "word": " I've", "probability": 0.3450927734375}, {"start": 1188.98, "end": 1189.44, "word": " expected", "probability": 0.80322265625}, {"start": 1189.44, "end": 1189.92, "word": " it.", "probability": 0.5888671875}, {"start": 1190.4, "end": 1190.7, "word": " So", "probability": 0.75927734375}, {"start": 1190.7, "end": 1190.82, "word": " the", "probability": 0.744140625}, {"start": 1190.82, "end": 1191.22, "word": " expected", "probability": 0.869140625}, {"start": 1191.22, "end": 1191.7, "word": " value", "probability": 0.9697265625}, {"start": 1191.7, "end": 1192.12, "word": " for", "probability": 0.74072265625}, {"start": 1192.12, "end": 1192.36, "word": " each", "probability": 0.8857421875}, {"start": 1192.36, "end": 1192.62, "word": " cell", "probability": 0.908203125}, {"start": 1192.62, "end": 1192.8, "word": " is", "probability": 0.93017578125}, {"start": 1192.8, "end": 1193.02, "word": " given", "probability": 0.85302734375}, {"start": 1193.02, "end": 1193.44, "word": " by", "probability": 0.96728515625}, {"start": 1193.44, "end": 1196.44, "word": " Rho", "probability": 0.4947509765625}, {"start": 1196.44, "end": 1196.84, "word": " total", "probability": 0.572265625}, {"start": 1196.84, "end": 1199.44, "word": " multiplied", "probability": 0.5234375}, {"start": 1199.44, "end": 1199.76, "word": " by", "probability": 0.9619140625}, {"start": 1199.76, "end": 1200.26, "word": " Kono,", "probability": 0.5438232421875}, {"start": 1201.34, "end": 1201.98, "word": " total", "probability": 0.74755859375}, {"start": 1201.98, "end": 1202.94, "word": " divided", "probability": 0.771484375}, {"start": 1202.94, "end": 1203.16, "word": " by", "probability": 0.96826171875}, {"start": 1203.16, "end": 1203.38, "word": " N.", "probability": 0.611328125}, {"start": 1205.16, "end": 1206.0, "word": " Also,", "probability": 0.921875}, {"start": 1206.26, "end": 1206.52, "word": " this", "probability": 0.93603515625}, {"start": 1206.52, "end": 1207.04, "word": " equation", "probability": 0.97509765625}, {"start": 1207.04, "end": 1207.98, "word": " is", "probability": 0.86279296875}, {"start": 1207.98, "end": 1208.42, "word": " true", "probability": 0.9560546875}, {"start": 1208.42, "end": 1208.88, "word": " for", "probability": 0.94580078125}, {"start": 1208.88, "end": 1209.06, "word": " the", "probability": 0.91796875}, {"start": 1209.06, "end": 1209.54, "word": " previous", "probability": 0.8447265625}, {"start": 1209.54, "end": 1210.86, "word": " example.", "probability": 0.96923828125}, {"start": 1211.02, "end": 1211.1, "word": " If", "probability": 0.92578125}, {"start": 1211.1, "end": 1211.2, "word": " you", "probability": 0.6943359375}, {"start": 1211.2, "end": 1211.36, "word": " go", "probability": 0.94580078125}, {"start": 1211.36, "end": 1211.6, "word": " back", "probability": 0.8759765625}, {"start": 1211.6, "end": 1211.74, "word": " a", "probability": 0.81298828125}, {"start": 1211.74, "end": 1211.88, "word": " little", "probability": 0.8662109375}, {"start": 1211.88, "end": 1212.26, "word": " bit", "probability": 0.95263671875}, {"start": 1212.26, "end": 1212.94, "word": " here,", "probability": 0.53662109375}, {"start": 1213.7, "end": 1214.9, "word": " now", "probability": 0.9052734375}, {"start": 1214.9, "end": 1215.56, "word": " the", "probability": 0.705078125}], "temperature": 1.0}, {"id": 46, "seek": 124031, "start": 1216.65, "end": 1240.31, "text": " Expected for this cell was 40.4. Now let's see how can we compute the same value by using this equation. So it's equal to row total 120 multiplied by column total 36 divided by 300.", "tokens": [2111, 10729, 337, 341, 2815, 390, 3356, 13, 19, 13, 823, 718, 311, 536, 577, 393, 321, 14722, 264, 912, 2158, 538, 1228, 341, 5367, 13, 407, 309, 311, 2681, 281, 5386, 3217, 10411, 17207, 538, 7738, 3217, 8652, 6666, 538, 6641, 13], "avg_logprob": -0.1922940347682346, "compression_ratio": 1.2907801418439717, "no_speech_prob": 0.0, "words": [{"start": 1216.65, "end": 1217.25, "word": " Expected", "probability": 0.6572265625}, {"start": 1217.25, "end": 1217.71, "word": " for", "probability": 0.9189453125}, {"start": 1217.71, "end": 1217.95, "word": " this", "probability": 0.927734375}, {"start": 1217.95, "end": 1218.15, "word": " cell", "probability": 0.94873046875}, {"start": 1218.15, "end": 1218.47, "word": " was", "probability": 0.94140625}, {"start": 1218.47, "end": 1218.87, "word": " 40", "probability": 0.72314453125}, {"start": 1218.87, "end": 1219.53, "word": ".4.", "probability": 0.98486328125}, {"start": 1220.45, "end": 1221.17, "word": " Now", "probability": 0.939453125}, {"start": 1221.17, "end": 1221.45, "word": " let's", "probability": 0.79296875}, {"start": 1221.45, "end": 1221.53, "word": " see", "probability": 0.908203125}, {"start": 1221.53, "end": 1221.65, "word": " how", "probability": 0.91064453125}, {"start": 1221.65, "end": 1221.85, "word": " can", "probability": 0.796875}, {"start": 1221.85, "end": 1222.53, "word": " we", "probability": 0.94189453125}, {"start": 1222.53, "end": 1223.05, "word": " compute", "probability": 0.900390625}, {"start": 1223.05, "end": 1223.29, "word": " the", "probability": 0.8212890625}, {"start": 1223.29, "end": 1224.25, "word": " same", "probability": 0.83251953125}, {"start": 1224.25, "end": 1224.63, "word": " value", "probability": 0.96923828125}, {"start": 1224.63, "end": 1224.83, "word": " by", "probability": 0.95068359375}, {"start": 1224.83, "end": 1225.19, "word": " using", "probability": 0.9306640625}, {"start": 1225.19, "end": 1225.47, "word": " this", "probability": 0.92431640625}, {"start": 1225.47, "end": 1225.95, "word": " equation.", "probability": 0.92822265625}, {"start": 1226.15, "end": 1227.07, "word": " So", "probability": 0.8291015625}, {"start": 1227.07, "end": 1227.33, "word": " it's", "probability": 0.894775390625}, {"start": 1227.33, "end": 1227.63, "word": " equal", "probability": 0.90380859375}, {"start": 1227.63, "end": 1228.41, "word": " to", "probability": 0.97216796875}, {"start": 1228.41, "end": 1229.45, "word": " row", "probability": 0.284912109375}, {"start": 1229.45, "end": 1229.77, "word": " total", "probability": 0.8046875}, {"start": 1229.77, "end": 1230.25, "word": " 120", "probability": 0.46533203125}, {"start": 1230.25, "end": 1232.67, "word": " multiplied", "probability": 0.42041015625}, {"start": 1232.67, "end": 1233.29, "word": " by", "probability": 0.97265625}, {"start": 1233.29, "end": 1234.23, "word": " column", "probability": 0.8544921875}, {"start": 1234.23, "end": 1234.69, "word": " total", "probability": 0.890625}, {"start": 1234.69, "end": 1235.49, "word": " 36", "probability": 0.96533203125}, {"start": 1235.49, "end": 1238.41, "word": " divided", "probability": 0.5927734375}, {"start": 1238.41, "end": 1238.85, "word": " by", "probability": 0.97509765625}, {"start": 1238.85, "end": 1240.31, "word": " 300.", "probability": 0.97705078125}], "temperature": 1.0}, {"id": 47, "seek": 126982, "start": 1243.58, "end": 1269.82, "text": " Now before we compute this value by using B dash first, 300 divided by, I'm sorry, 36 divided by 300. So that's your B dash. Then we multiply this B dash by N, and this is your N. So it's similar equation. So either you use row total multiplied by column total.", "tokens": [823, 949, 321, 14722, 341, 2158, 538, 1228, 363, 8240, 700, 11, 6641, 6666, 538, 11, 286, 478, 2597, 11, 8652, 6666, 538, 6641, 13, 407, 300, 311, 428, 363, 8240, 13, 1396, 321, 12972, 341, 363, 8240, 538, 426, 11, 293, 341, 307, 428, 426, 13, 407, 309, 311, 2531, 5367, 13, 407, 2139, 291, 764, 5386, 3217, 17207, 538, 7738, 3217, 13], "avg_logprob": -0.21995192307692307, "compression_ratio": 1.497142857142857, "no_speech_prob": 0.0, "words": [{"start": 1243.58, "end": 1243.82, "word": " Now", "probability": 0.6923828125}, {"start": 1243.82, "end": 1244.22, "word": " before", "probability": 0.58203125}, {"start": 1244.22, "end": 1244.46, "word": " we", "probability": 0.82373046875}, {"start": 1244.46, "end": 1244.82, "word": " compute", "probability": 0.845703125}, {"start": 1244.82, "end": 1245.1, "word": " this", "probability": 0.94140625}, {"start": 1245.1, "end": 1245.42, "word": " value", "probability": 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{"start": 1250.7, "end": 1250.9, "word": " by", "probability": 0.96337890625}, {"start": 1250.9, "end": 1251.32, "word": " 300.", "probability": 0.9775390625}, {"start": 1252.34, "end": 1252.82, "word": " So", "probability": 0.9443359375}, {"start": 1252.82, "end": 1253.36, "word": " that's", "probability": 0.932861328125}, {"start": 1253.36, "end": 1254.44, "word": " your", "probability": 0.89892578125}, {"start": 1254.44, "end": 1254.64, "word": " B", "probability": 0.98095703125}, {"start": 1254.64, "end": 1254.94, "word": " dash.", "probability": 0.89453125}, {"start": 1256.56, "end": 1257.12, "word": " Then", "probability": 0.449462890625}, {"start": 1257.12, "end": 1257.36, "word": " we", "probability": 0.8759765625}, {"start": 1257.36, "end": 1257.86, "word": " multiply", "probability": 0.88525390625}, {"start": 1257.86, "end": 1258.52, "word": " this", "probability": 0.94482421875}, {"start": 1258.52, "end": 1258.76, "word": " B", "probability": 0.9853515625}, {"start": 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"word": " So", "probability": 0.92626953125}, {"start": 1264.6, "end": 1264.82, "word": " either", "probability": 0.91455078125}, {"start": 1264.82, "end": 1265.04, "word": " you", "probability": 0.95166015625}, {"start": 1265.04, "end": 1265.46, "word": " use", "probability": 0.87548828125}, {"start": 1265.46, "end": 1266.36, "word": " row", "probability": 0.438232421875}, {"start": 1266.36, "end": 1266.76, "word": " total", "probability": 0.8525390625}, {"start": 1266.76, "end": 1268.54, "word": " multiplied", "probability": 0.595703125}, {"start": 1268.54, "end": 1269.02, "word": " by", "probability": 0.97021484375}, {"start": 1269.02, "end": 1269.42, "word": " column", "probability": 0.755859375}, {"start": 1269.42, "end": 1269.82, "word": " total.", "probability": 0.87939453125}], "temperature": 1.0}, {"id": 48, "seek": 129998, "start": 1271.28, "end": 1299.98, "text": " then divide by overall sample size you will get the same result by using the overall proportion 12% times 120 so each one will give the same answer so from now we are going to use this equation in order to compute the expected frequency for each cell so again expected frequency is rho total times", "tokens": [550, 9845, 538, 4787, 6889, 2744, 291, 486, 483, 264, 912, 1874, 538, 1228, 264, 4787, 16068, 2272, 4, 1413, 10411, 370, 1184, 472, 486, 976, 264, 912, 1867, 370, 490, 586, 321, 366, 516, 281, 764, 341, 5367, 294, 1668, 281, 14722, 264, 5176, 7893, 337, 1184, 2815, 370, 797, 5176, 7893, 307, 20293, 3217, 1413], "avg_logprob": -0.20662715774157953, "compression_ratio": 1.664804469273743, "no_speech_prob": 0.0, "words": [{"start": 1271.28, "end": 1271.62, "word": " then", "probability": 0.329833984375}, {"start": 1271.62, "end": 1271.96, "word": " divide", "probability": 0.6259765625}, {"start": 1271.96, "end": 1272.28, "word": " by", "probability": 0.8916015625}, {"start": 1272.28, "end": 1273.72, "word": " overall", "probability": 0.65869140625}, {"start": 1273.72, "end": 1274.06, "word": 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"probability": 0.92236328125}, {"start": 1287.52, "end": 1288.44, "word": " so", "probability": 0.5576171875}, {"start": 1288.44, "end": 1288.72, "word": " from", "probability": 0.84423828125}, {"start": 1288.72, "end": 1289.02, "word": " now", "probability": 0.92724609375}, {"start": 1289.02, "end": 1289.28, "word": " we", "probability": 0.84619140625}, {"start": 1289.28, "end": 1289.42, "word": " are", "probability": 0.88623046875}, {"start": 1289.42, "end": 1289.7, "word": " going", "probability": 0.943359375}, {"start": 1289.7, "end": 1289.86, "word": " to", "probability": 0.96728515625}, {"start": 1289.86, "end": 1290.18, "word": " use", "probability": 0.88232421875}, {"start": 1290.18, "end": 1290.56, "word": " this", "probability": 0.94677734375}, {"start": 1290.56, "end": 1291.1, "word": " equation", "probability": 0.97802734375}, {"start": 1291.1, "end": 1292.14, "word": " in", "probability": 0.90380859375}, {"start": 1292.14, "end": 1292.46, "word": " order", "probability": 0.92236328125}, {"start": 1292.46, "end": 1292.72, "word": " to", "probability": 0.96875}, {"start": 1292.72, "end": 1293.12, "word": " compute", "probability": 0.912109375}, {"start": 1293.12, "end": 1293.44, "word": " the", "probability": 0.861328125}, {"start": 1293.44, "end": 1293.9, "word": " expected", "probability": 0.92138671875}, {"start": 1293.9, "end": 1294.6, "word": " frequency", "probability": 0.95703125}, {"start": 1294.6, "end": 1295.52, "word": " for", "probability": 0.92431640625}, {"start": 1295.52, "end": 1295.78, "word": " each", "probability": 0.931640625}, {"start": 1295.78, "end": 1296.02, "word": " cell", "probability": 0.8935546875}, {"start": 1296.02, "end": 1296.92, "word": " so", "probability": 0.75390625}, {"start": 1296.92, "end": 1297.22, "word": " again", "probability": 0.8828125}, {"start": 1297.22, "end": 1297.96, "word": " expected", "probability": 0.82421875}, {"start": 1297.96, "end": 1298.46, "word": " frequency", "probability": 0.95947265625}, {"start": 1298.46, "end": 1298.72, "word": " is", "probability": 0.9482421875}, {"start": 1298.72, "end": 1298.9, "word": " rho", "probability": 0.57666015625}, {"start": 1298.9, "end": 1299.24, "word": " total", "probability": 0.79443359375}, {"start": 1299.24, "end": 1299.98, "word": " times", "probability": 0.900390625}], "temperature": 1.0}, {"id": 49, "seek": 132018, "start": 1301.72, "end": 1320.18, "text": " Column total divided by N, N is the sample size. So row total it means sum of all frequencies in the row. Similarly column total is the sum of all frequencies in the column and N is over all sample size.", "tokens": [4004, 16449, 3217, 6666, 538, 426, 11, 426, 307, 264, 6889, 2744, 13, 407, 5386, 3217, 309, 1355, 2408, 295, 439, 20250, 294, 264, 5386, 13, 13157, 7738, 3217, 307, 264, 2408, 295, 439, 20250, 294, 264, 7738, 293, 426, 307, 670, 439, 6889, 2744, 13], "avg_logprob": -0.23986037804725321, "compression_ratio": 1.6585365853658536, "no_speech_prob": 0.0, "words": [{"start": 1301.72, "end": 1302.16, "word": " Column", "probability": 0.7080078125}, {"start": 1302.16, "end": 1302.48, "word": " total", "probability": 0.7109375}, {"start": 1302.48, "end": 1302.92, "word": " divided", "probability": 0.68603515625}, {"start": 1302.92, "end": 1303.52, "word": " by", "probability": 0.97314453125}, {"start": 1303.52, "end": 1304.58, "word": " N,", "probability": 0.59765625}, {"start": 1304.76, "end": 1304.84, "word": " N", "probability": 0.6337890625}, {"start": 1304.84, "end": 1305.06, "word": " is", "probability": 0.93994140625}, {"start": 1305.06, "end": 1305.26, "word": " the", "probability": 0.8271484375}, {"start": 1305.26, "end": 1305.46, "word": " sample", "probability": 0.9150390625}, {"start": 1305.46, "end": 1305.88, "word": " size.", "probability": 0.86376953125}, {"start": 1307.22, "end": 1307.76, "word": " So", "probability": 0.8232421875}, {"start": 1307.76, "end": 1307.94, "word": " row", "probability": 0.350341796875}, {"start": 1307.94, "end": 1308.18, "word": " total", "probability": 0.8486328125}, {"start": 1308.18, "end": 1308.4, "word": " it", "probability": 0.2412109375}, {"start": 1308.4, "end": 1308.62, "word": " means", "probability": 0.9072265625}, {"start": 1308.62, "end": 1309.0, "word": " sum", "probability": 0.81005859375}, {"start": 1309.0, "end": 1309.26, "word": " of", "probability": 0.96728515625}, {"start": 1309.26, "end": 1309.5, "word": " all", "probability": 0.951171875}, {"start": 1309.5, "end": 1310.06, "word": " frequencies", "probability": 0.8291015625}, {"start": 1310.06, "end": 1310.34, "word": " in", "probability": 0.94140625}, {"start": 1310.34, "end": 1310.5, "word": " the", "probability": 0.89697265625}, {"start": 1310.5, "end": 1310.72, "word": " row.", "probability": 0.9228515625}, {"start": 1311.72, "end": 1312.22, "word": " Similarly", "probability": 0.82568359375}, {"start": 1312.22, "end": 1312.66, "word": " column", "probability": 0.53466796875}, {"start": 1312.66, "end": 1313.02, "word": " total", "probability": 0.87109375}, {"start": 1313.02, "end": 1313.42, "word": " is", "probability": 0.93017578125}, {"start": 1313.42, "end": 1313.6, "word": " the", "probability": 0.87060546875}, {"start": 1313.6, "end": 1313.82, "word": " sum", "probability": 0.94970703125}, {"start": 1313.82, "end": 1313.98, "word": " of", "probability": 0.96728515625}, {"start": 1313.98, "end": 1314.16, "word": " all", "probability": 0.947265625}, {"start": 1314.16, "end": 1314.7, "word": " frequencies", "probability": 0.857421875}, {"start": 1314.7, "end": 1315.84, "word": " in", "probability": 0.93408203125}, {"start": 1315.84, "end": 1316.16, "word": " the", "probability": 0.90869140625}, {"start": 1316.16, "end": 1316.7, "word": " column", "probability": 0.8173828125}, {"start": 1316.7, "end": 1317.32, "word": " and", "probability": 0.58984375}, {"start": 1317.32, "end": 1317.56, "word": " N", "probability": 0.9541015625}, {"start": 1317.56, "end": 1317.78, "word": " is", "probability": 0.9521484375}, {"start": 1317.78, "end": 1318.2, "word": " over", "probability": 0.86962890625}, {"start": 1318.2, "end": 1318.92, "word": " all", "probability": 0.9521484375}, {"start": 1318.92, "end": 1319.76, "word": " sample", "probability": 0.86767578125}, {"start": 1319.76, "end": 1320.18, "word": " size.", "probability": 0.7236328125}], "temperature": 1.0}, {"id": 50, "seek": 134759, "start": 1323.03, "end": 1347.59, "text": " Again, we reject the null hypothesis if your chi-square statistic greater than chi-square alpha. Otherwise, you don't reject it. And keep in mind, chi-square statistic has degrees of freedom R minus 1 times C minus 1. That's all for chi-square as test of independence. Any question?", "tokens": [3764, 11, 321, 8248, 264, 18184, 17291, 498, 428, 13228, 12, 33292, 543, 29588, 5044, 813, 13228, 12, 33292, 543, 8961, 13, 10328, 11, 291, 500, 380, 8248, 309, 13, 400, 1066, 294, 1575, 11, 13228, 12, 33292, 543, 29588, 575, 5310, 295, 5645, 497, 3175, 502, 1413, 383, 3175, 502, 13, 663, 311, 439, 337, 13228, 12, 33292, 543, 382, 1500, 295, 14640, 13, 2639, 1168, 30], "avg_logprob": -0.20516304088675458, "compression_ratio": 1.554945054945055, "no_speech_prob": 0.0, "words": [{"start": 1323.03, "end": 1323.53, "word": " Again,", "probability": 0.916015625}, {"start": 1323.97, "end": 1324.19, "word": " we", "probability": 0.94873046875}, {"start": 1324.19, "end": 1324.67, "word": " reject", "probability": 0.8779296875}, {"start": 1324.67, "end": 1324.87, "word": " the", "probability": 0.8935546875}, {"start": 1324.87, "end": 1325.01, "word": " null", "probability": 0.9599609375}, {"start": 1325.01, "end": 1325.55, "word": " hypothesis", "probability": 0.84814453125}, {"start": 1325.55, "end": 1326.15, "word": " if", "probability": 0.65380859375}, {"start": 1326.15, "end": 1326.39, "word": " your", "probability": 0.8359375}, {"start": 1326.39, "end": 1326.63, "word": " chi", "probability": 0.35693359375}, {"start": 1326.63, "end": 1326.85, "word": "-square", "probability": 0.876953125}, {"start": 1326.85, "end": 1327.55, "word": " statistic", "probability": 0.61279296875}, {"start": 1327.55, "end": 1328.99, "word": " greater", "probability": 0.40966796875}, {"start": 1328.99, "end": 1329.41, "word": " than", "probability": 0.9453125}, {"start": 1329.41, "end": 1329.81, "word": " chi", "probability": 0.7578125}, {"start": 1329.81, "end": 1330.09, "word": "-square", "probability": 0.9583333333333334}, {"start": 1330.09, "end": 1330.43, "word": " alpha.", "probability": 0.88427734375}, {"start": 1330.59, "end": 1330.93, "word": " Otherwise,", "probability": 0.943359375}, {"start": 1331.21, "end": 1331.27, "word": " you", "probability": 0.927734375}, {"start": 1331.27, "end": 1331.53, "word": " don't", "probability": 0.97021484375}, {"start": 1331.53, "end": 1331.85, "word": " reject", "probability": 0.9169921875}, {"start": 1331.85, "end": 1332.25, "word": " it.", "probability": 0.59375}, {"start": 1332.51, "end": 1332.65, "word": " And", "probability": 0.939453125}, {"start": 1332.65, "end": 1332.83, "word": " keep", "probability": 0.900390625}, {"start": 1332.83, "end": 1332.99, "word": " in", "probability": 0.93994140625}, {"start": 1332.99, "end": 1333.37, "word": " mind,", "probability": 0.880859375}, {"start": 1334.27, "end": 1334.51, "word": " chi", "probability": 0.5419921875}, {"start": 1334.51, "end": 1334.79, "word": "-square", "probability": 0.9632161458333334}, {"start": 1334.79, "end": 1335.37, "word": " statistic", "probability": 0.84130859375}, {"start": 1335.37, "end": 1336.47, "word": " has", "probability": 0.9287109375}, {"start": 1336.47, "end": 1337.01, "word": " degrees", "probability": 0.94921875}, {"start": 1337.01, "end": 1337.23, "word": " of", "probability": 0.96875}, {"start": 1337.23, "end": 1337.61, "word": " freedom", "probability": 0.93017578125}, {"start": 1337.61, "end": 1338.39, "word": " R", "probability": 0.33349609375}, {"start": 1338.39, "end": 1338.69, "word": " minus", "probability": 0.8173828125}, {"start": 1338.69, "end": 1339.01, "word": " 1", "probability": 0.8447265625}, {"start": 1339.01, "end": 1339.55, "word": " times", "probability": 0.91845703125}, {"start": 1339.55, "end": 1339.97, "word": " C", "probability": 0.8076171875}, {"start": 1339.97, "end": 1340.27, "word": " minus", "probability": 0.96044921875}, {"start": 1340.27, "end": 1340.49, "word": " 1.", "probability": 0.97119140625}, {"start": 1341.37, "end": 1342.05, "word": " That's", "probability": 0.845947265625}, {"start": 1342.05, "end": 1342.51, "word": " all", "probability": 0.9306640625}, {"start": 1342.51, "end": 1342.89, "word": " for", "probability": 0.9501953125}, {"start": 1342.89, "end": 1343.25, "word": " chi", "probability": 0.81982421875}, {"start": 1343.25, "end": 1343.73, "word": "-square", "probability": 0.94384765625}, {"start": 1343.73, "end": 1344.27, "word": " as", "probability": 0.8525390625}, {"start": 1344.27, "end": 1344.69, "word": " test", "probability": 0.849609375}, {"start": 1344.69, "end": 1345.11, "word": " of", "probability": 0.95166015625}, {"start": 1345.11, "end": 1345.71, "word": " independence.", "probability": 0.1673583984375}, {"start": 1346.95, "end": 1347.29, "word": " Any", "probability": 0.9287109375}, {"start": 1347.29, "end": 1347.59, "word": " question?", "probability": 0.57275390625}], "temperature": 1.0}, {"id": 51, "seek": 137350, "start": 1351.22, "end": 1373.5, "text": " Here there is an example for applying chi-square test of independence. Meal plan selected by 200 students is shown in this table. So there are two variables of interest. The first one is number of meals per week.", "tokens": [1692, 456, 307, 364, 1365, 337, 9275, 13228, 12, 33292, 543, 1500, 295, 14640, 13, 1923, 304, 1393, 8209, 538, 2331, 1731, 307, 4898, 294, 341, 3199, 13, 407, 456, 366, 732, 9102, 295, 1179, 13, 440, 700, 472, 307, 1230, 295, 12832, 680, 1243, 13], "avg_logprob": -0.19514628293666433, "compression_ratio": 1.392156862745098, "no_speech_prob": 0.0, "words": [{"start": 1351.22, "end": 1351.98, "word": " Here", "probability": 0.83154296875}, {"start": 1351.98, "end": 1352.46, "word": " there", "probability": 0.496826171875}, {"start": 1352.46, "end": 1352.64, "word": " is", "probability": 0.92236328125}, {"start": 1352.64, "end": 1352.84, "word": " an", "probability": 0.96044921875}, {"start": 1352.84, "end": 1353.26, "word": " example", "probability": 0.978515625}, {"start": 1353.26, "end": 1354.82, "word": " for", "probability": 0.90771484375}, {"start": 1354.82, "end": 1355.38, "word": " applying", "probability": 0.87939453125}, {"start": 1355.38, "end": 1355.98, "word": " chi", "probability": 0.09808349609375}, {"start": 1355.98, "end": 1356.3, "word": "-square", "probability": 0.7794596354166666}, {"start": 1356.3, "end": 1356.56, "word": " test", "probability": 0.5390625}, {"start": 1356.56, "end": 1356.72, "word": " of", "probability": 0.9521484375}, {"start": 1356.72, "end": 1357.32, "word": " independence.", "probability": 0.9189453125}, {"start": 1358.28, "end": 1358.5, "word": " Meal", "probability": 0.94677734375}, {"start": 1358.5, "end": 1358.92, "word": " plan", "probability": 0.91796875}, {"start": 1358.92, "end": 1362.2, "word": " selected", "probability": 0.560546875}, {"start": 1362.2, "end": 1362.72, "word": " by", "probability": 0.974609375}, {"start": 1362.72, "end": 1363.18, "word": " 200", "probability": 0.84912109375}, {"start": 1363.18, "end": 1363.84, "word": " students", "probability": 0.97705078125}, {"start": 1363.84, "end": 1364.14, "word": " is", "probability": 0.61083984375}, {"start": 1364.14, "end": 1364.5, "word": " shown", "probability": 0.9072265625}, {"start": 1364.5, "end": 1364.82, "word": " in", "probability": 0.826171875}, {"start": 1364.82, "end": 1365.02, "word": " this", "probability": 0.94580078125}, {"start": 1365.02, "end": 1365.4, "word": " table.", "probability": 0.9296875}, {"start": 1366.16, "end": 1366.46, "word": " So", "probability": 0.9150390625}, {"start": 1366.46, "end": 1366.7, "word": " there", "probability": 0.72412109375}, {"start": 1366.7, "end": 1366.98, "word": " are", "probability": 0.93798828125}, {"start": 1366.98, "end": 1367.28, "word": " two", "probability": 0.8779296875}, {"start": 1367.28, "end": 1367.78, "word": " variables", "probability": 0.94873046875}, {"start": 1367.78, "end": 1368.02, "word": " of", "probability": 0.9658203125}, {"start": 1368.02, "end": 1368.46, "word": " interest.", "probability": 0.91845703125}, {"start": 1369.78, "end": 1370.08, "word": " The", "probability": 0.88623046875}, {"start": 1370.08, "end": 1370.36, "word": " first", "probability": 0.888671875}, {"start": 1370.36, "end": 1370.62, "word": " one", "probability": 0.923828125}, {"start": 1370.62, "end": 1370.96, "word": " is", "probability": 0.947265625}, {"start": 1370.96, "end": 1371.36, "word": " number", "probability": 0.892578125}, {"start": 1371.36, "end": 1371.58, "word": " of", "probability": 0.9716796875}, {"start": 1371.58, "end": 1371.94, "word": " meals", "probability": 0.9453125}, {"start": 1371.94, "end": 1373.12, "word": " per", "probability": 0.94580078125}, {"start": 1373.12, "end": 1373.5, "word": " week.", "probability": 0.94921875}], "temperature": 1.0}, {"id": 52, "seek": 140393, "start": 1374.57, "end": 1403.93, "text": " And there are three types of number of meals, either 20 meals per week, or 10 meals per week, or none. So that's, so number of meals is classified into three groups. So three columns, 20 per week, 10 per week, or none. Class standing, students are classified into four levels.", "tokens": [400, 456, 366, 1045, 3467, 295, 1230, 295, 12832, 11, 2139, 945, 12832, 680, 1243, 11, 420, 1266, 12832, 680, 1243, 11, 420, 6022, 13, 407, 300, 311, 11, 370, 1230, 295, 12832, 307, 20627, 666, 1045, 3935, 13, 407, 1045, 13766, 11, 945, 680, 1243, 11, 1266, 680, 1243, 11, 420, 6022, 13, 9471, 4877, 11, 1731, 366, 20627, 666, 1451, 4358, 13], "avg_logprob": -0.17139423076923077, "compression_ratio": 1.7531645569620253, "no_speech_prob": 0.0, "words": [{"start": 1374.57, "end": 1374.97, "word": " And", "probability": 0.68505859375}, {"start": 1374.97, "end": 1375.73, "word": " there", "probability": 0.8056640625}, {"start": 1375.73, "end": 1375.93, "word": " are", "probability": 0.94482421875}, {"start": 1375.93, "end": 1376.23, "word": " three", "probability": 0.8623046875}, {"start": 1376.23, "end": 1376.79, "word": " types", "probability": 0.81591796875}, {"start": 1376.79, "end": 1377.05, "word": " of", "probability": 0.95947265625}, {"start": 1377.05, "end": 1377.47, "word": " number", "probability": 0.900390625}, {"start": 1377.47, "end": 1377.69, "word": " of", "probability": 0.9697265625}, {"start": 1377.69, "end": 1377.95, "word": " meals,", "probability": 0.94921875}, {"start": 1378.33, "end": 1378.59, "word": " either", "probability": 0.912109375}, {"start": 1378.59, "end": 1379.89, "word": " 20", "probability": 0.7099609375}, {"start": 1379.89, "end": 1380.23, "word": " meals", "probability": 0.953125}, {"start": 1380.23, "end": 1380.55, "word": " per", "probability": 0.96533203125}, {"start": 1380.55, "end": 1380.89, "word": " week,", "probability": 0.95458984375}, {"start": 1381.43, "end": 1383.49, "word": " or", "probability": 0.9326171875}, {"start": 1383.49, "end": 1383.85, "word": " 10", "probability": 0.8876953125}, {"start": 1383.85, "end": 1384.27, "word": " meals", "probability": 0.955078125}, {"start": 1384.27, "end": 1384.49, "word": " per", "probability": 0.95751953125}, {"start": 1384.49, "end": 1384.87, "word": " week,", "probability": 0.947265625}, {"start": 1385.37, "end": 1385.65, "word": " or", "probability": 0.9638671875}, {"start": 1385.65, "end": 1385.89, "word": " none.", "probability": 0.919921875}, {"start": 1386.91, "end": 1387.15, "word": " So", "probability": 0.9091796875}, {"start": 1387.15, "end": 1387.55, "word": " that's,", "probability": 0.7978515625}, {"start": 1387.87, "end": 1387.87, "word": " so", "probability": 0.85400390625}, {"start": 1387.87, "end": 1388.57, "word": " number", "probability": 0.72119140625}, {"start": 1388.57, "end": 1388.81, "word": " of", "probability": 0.97119140625}, {"start": 1388.81, "end": 1389.15, "word": " meals", "probability": 0.9462890625}, {"start": 1389.15, "end": 1389.91, "word": " is", "probability": 0.92822265625}, {"start": 1389.91, "end": 1390.53, "word": " classified", "probability": 0.9443359375}, {"start": 1390.53, "end": 1391.21, "word": " into", "probability": 0.8447265625}, {"start": 1391.21, "end": 1391.63, "word": " three", "probability": 0.92431640625}, {"start": 1391.63, "end": 1392.15, "word": " groups.", "probability": 0.94677734375}, {"start": 1393.21, "end": 1393.47, "word": " So", "probability": 0.958984375}, {"start": 1393.47, "end": 1393.87, "word": " three", "probability": 0.85498046875}, {"start": 1393.87, "end": 1394.65, "word": " columns,", "probability": 0.9501953125}, {"start": 1395.37, "end": 1395.77, "word": " 20", "probability": 0.94482421875}, {"start": 1395.77, "end": 1396.13, "word": " per", "probability": 0.9091796875}, {"start": 1396.13, "end": 1396.41, "word": " week,", "probability": 0.95556640625}, {"start": 1396.71, "end": 1396.97, "word": " 10", "probability": 0.95654296875}, {"start": 1396.97, "end": 1397.19, "word": " per", "probability": 0.95166015625}, {"start": 1397.19, "end": 1397.43, "word": " week,", "probability": 0.9541015625}, {"start": 1397.49, "end": 1397.65, "word": " or", "probability": 0.962890625}, {"start": 1397.65, "end": 1397.89, "word": " none.", "probability": 0.931640625}, {"start": 1399.83, "end": 1400.35, "word": " Class", "probability": 0.6396484375}, {"start": 1400.35, "end": 1400.89, "word": " standing,", "probability": 0.8544921875}, {"start": 1401.49, "end": 1401.95, "word": " students", "probability": 0.6796875}, {"start": 1401.95, "end": 1402.31, "word": " are", "probability": 0.9306640625}, {"start": 1402.31, "end": 1402.81, "word": " classified", "probability": 0.94482421875}, {"start": 1402.81, "end": 1403.27, "word": " into", "probability": 0.8486328125}, {"start": 1403.27, "end": 1403.53, "word": " four", "probability": 0.9375}, {"start": 1403.53, "end": 1403.93, "word": " levels.", "probability": 0.91552734375}], "temperature": 1.0}, {"id": 53, "seek": 142858, "start": 1405.7, "end": 1428.58, "text": " A freshman, it means students like you, first year. Sophomore, it means second year. Junior, third level. Senior, fourth level. So that means first, second, third, and fourth level. And we have this number, these numbers for, I mean, there are 24", "tokens": [316, 22154, 11, 309, 1355, 1731, 411, 291, 11, 700, 1064, 13, 18921, 298, 418, 11, 309, 1355, 1150, 1064, 13, 21954, 11, 2636, 1496, 13, 18370, 11, 6409, 1496, 13, 407, 300, 1355, 700, 11, 1150, 11, 2636, 11, 293, 6409, 1496, 13, 400, 321, 362, 341, 1230, 11, 613, 3547, 337, 11, 286, 914, 11, 456, 366, 4022], "avg_logprob": -0.20696720627487683, "compression_ratio": 1.6466666666666667, "no_speech_prob": 0.0, "words": [{"start": 1405.7, "end": 1405.96, "word": " A", "probability": 0.55224609375}, {"start": 1405.96, "end": 1406.32, "word": " freshman,", "probability": 0.67236328125}, {"start": 1406.72, "end": 1407.04, "word": " it", "probability": 0.419677734375}, {"start": 1407.04, "end": 1407.42, "word": " means", "probability": 0.9287109375}, {"start": 1407.42, "end": 1408.18, "word": " students", "probability": 0.958984375}, {"start": 1408.18, "end": 1408.86, "word": " like", "probability": 0.93408203125}, {"start": 1408.86, "end": 1409.12, "word": " you,", "probability": 0.96337890625}, {"start": 1409.44, "end": 1409.86, "word": " first", "probability": 0.8701171875}, {"start": 1409.86, "end": 1410.18, "word": " year.", "probability": 0.9013671875}, {"start": 1411.02, "end": 1411.54, "word": " Sophomore,", "probability": 0.9178059895833334}, {"start": 1411.7, "end": 1411.96, "word": " it", "probability": 0.83447265625}, {"start": 1411.96, "end": 1412.4, "word": " means", "probability": 0.931640625}, {"start": 1412.4, "end": 1413.2, "word": " second", "probability": 0.89794921875}, {"start": 1413.2, "end": 1413.62, "word": " year.", "probability": 0.9072265625}, {"start": 1414.44, "end": 1414.74, "word": " Junior,", "probability": 0.93310546875}, {"start": 1415.1, "end": 1415.56, "word": " third", "probability": 0.91748046875}, {"start": 1415.56, "end": 1415.94, "word": " level.", "probability": 0.91845703125}, {"start": 1416.48, "end": 1416.72, "word": " Senior,", "probability": 0.94384765625}, {"start": 1417.04, "end": 1417.32, "word": " fourth", "probability": 0.92578125}, {"start": 1417.32, "end": 1417.64, "word": " level.", "probability": 0.93994140625}, {"start": 1418.06, "end": 1418.2, "word": " So", "probability": 0.9560546875}, {"start": 1418.2, "end": 1418.4, "word": " that", "probability": 0.751953125}, {"start": 1418.4, "end": 1418.66, "word": " means", "probability": 0.80322265625}, {"start": 1418.66, "end": 1418.98, "word": " first,", "probability": 0.85888671875}, {"start": 1419.14, "end": 1419.4, "word": " second,", "probability": 0.91845703125}, {"start": 1419.54, "end": 1419.82, "word": " third,", "probability": 0.94775390625}, {"start": 1420.0, "end": 1420.34, "word": " and", "probability": 0.93408203125}, {"start": 1420.34, "end": 1420.72, "word": " fourth", "probability": 0.93115234375}, {"start": 1420.72, "end": 1421.04, "word": " level.", "probability": 0.943359375}, {"start": 1421.86, "end": 1422.1, "word": " And", "probability": 0.943359375}, {"start": 1422.1, "end": 1422.24, "word": " we", "probability": 0.9501953125}, {"start": 1422.24, "end": 1422.38, "word": " have", "probability": 0.94482421875}, {"start": 1422.38, "end": 1422.64, "word": " this", "probability": 0.79736328125}, {"start": 1422.64, "end": 1423.06, "word": " number,", "probability": 0.89453125}, {"start": 1424.16, "end": 1424.46, "word": " these", "probability": 0.52880859375}, {"start": 1424.46, "end": 1424.96, "word": " numbers", "probability": 0.90576171875}, {"start": 1424.96, "end": 1425.36, "word": " for,", "probability": 0.8349609375}, {"start": 1425.68, "end": 1425.92, "word": " I", "probability": 0.9609375}, {"start": 1425.92, "end": 1426.14, "word": " mean,", "probability": 0.96435546875}, {"start": 1427.04, "end": 1427.36, "word": " there", "probability": 0.91064453125}, {"start": 1427.36, "end": 1427.78, "word": " are", "probability": 0.9462890625}, {"start": 1427.78, "end": 1428.58, "word": " 24", "probability": 0.95361328125}], "temperature": 1.0}, {"id": 54, "seek": 145420, "start": 1429.06, "end": 1454.2, "text": " A freshman who have meals for 20 per week. So there are 24 freshmen have 20 meals per week. 22 sophomores, the same, 10 for junior and 14 for senior. And the question is just to see if number of meals per week is independent of class standing.", "tokens": [316, 22154, 567, 362, 12832, 337, 945, 680, 1243, 13, 407, 456, 366, 4022, 43694, 362, 945, 12832, 680, 1243, 13, 5853, 32931, 2706, 11, 264, 912, 11, 1266, 337, 16195, 293, 3499, 337, 7965, 13, 400, 264, 1168, 307, 445, 281, 536, 498, 1230, 295, 12832, 680, 1243, 307, 6695, 295, 1508, 4877, 13], "avg_logprob": -0.18261718164597238, "compression_ratio": 1.5443037974683544, "no_speech_prob": 0.0, "words": [{"start": 1429.06, "end": 1429.3, "word": " A", "probability": 0.1630859375}, {"start": 1429.3, "end": 1429.7, "word": " freshman", "probability": 0.72265625}, {"start": 1429.7, "end": 1430.6, "word": " who", "probability": 0.85009765625}, {"start": 1430.6, "end": 1431.02, "word": " have", "probability": 0.7666015625}, {"start": 1431.02, "end": 1432.22, "word": " meals", "probability": 0.94091796875}, {"start": 1432.22, "end": 1432.72, "word": " for", "probability": 0.9365234375}, {"start": 1432.72, "end": 1433.12, "word": " 20", "probability": 0.79736328125}, {"start": 1433.12, "end": 1433.66, "word": " per", "probability": 0.88525390625}, {"start": 1433.66, "end": 1433.98, "word": " week.", "probability": 0.95263671875}, {"start": 1434.62, "end": 1434.78, "word": " So", "probability": 0.943359375}, {"start": 1434.78, "end": 1434.94, "word": " there", "probability": 0.783203125}, {"start": 1434.94, "end": 1435.1, "word": " are", "probability": 0.94775390625}, {"start": 1435.1, "end": 1436.46, "word": " 24", "probability": 0.94287109375}, {"start": 1436.46, "end": 1437.26, "word": " freshmen", "probability": 0.63427734375}, {"start": 1437.26, "end": 1438.84, "word": " have", "probability": 0.71875}, {"start": 1438.84, "end": 1439.24, "word": " 20", "probability": 0.947265625}, {"start": 1439.24, "end": 1439.6, "word": " meals", "probability": 0.94873046875}, {"start": 1439.6, "end": 1439.88, "word": " per", "probability": 0.95068359375}, {"start": 1439.88, "end": 1440.22, "word": " week.", "probability": 0.9443359375}, {"start": 1441.0, "end": 1441.4, "word": " 22", "probability": 0.65673828125}, {"start": 1441.4, "end": 1442.14, "word": " sophomores,", "probability": 0.84326171875}, {"start": 1442.28, "end": 1442.42, "word": " the", "probability": 0.84814453125}, {"start": 1442.42, "end": 1442.68, "word": " same,", "probability": 0.900390625}, {"start": 1442.92, "end": 1443.32, "word": " 10", "probability": 0.9228515625}, {"start": 1443.32, "end": 1443.64, "word": " for", "probability": 0.9443359375}, {"start": 1443.64, "end": 1443.9, "word": " junior", "probability": 0.92724609375}, {"start": 1443.9, "end": 1444.16, "word": " and", "probability": 0.75390625}, {"start": 1444.16, "end": 1444.64, "word": " 14", "probability": 0.962890625}, {"start": 1444.64, "end": 1445.52, "word": " for", "probability": 0.947265625}, {"start": 1445.52, "end": 1445.88, "word": " senior.", "probability": 0.92822265625}, {"start": 1446.22, "end": 1446.38, "word": " And", "probability": 0.93896484375}, {"start": 1446.38, "end": 1446.52, "word": " the", "probability": 0.9208984375}, {"start": 1446.52, "end": 1446.82, "word": " question", "probability": 0.923828125}, {"start": 1446.82, "end": 1447.84, "word": " is", "probability": 0.93310546875}, {"start": 1447.84, "end": 1448.66, "word": " just", "probability": 0.33935546875}, {"start": 1448.66, "end": 1448.86, "word": " to", "probability": 0.96923828125}, {"start": 1448.86, "end": 1449.16, "word": " see", "probability": 0.87451171875}, {"start": 1449.16, "end": 1450.22, "word": " if", "probability": 0.91845703125}, {"start": 1450.22, "end": 1450.6, "word": " number", "probability": 0.8974609375}, {"start": 1450.6, "end": 1450.86, "word": " of", "probability": 0.96826171875}, {"start": 1450.86, "end": 1451.18, "word": " meals", "probability": 0.943359375}, {"start": 1451.18, "end": 1451.44, "word": " per", "probability": 0.94921875}, {"start": 1451.44, "end": 1451.76, "word": " week", "probability": 0.94921875}, {"start": 1451.76, "end": 1452.4, "word": " is", "probability": 0.9384765625}, {"start": 1452.4, "end": 1452.92, "word": " independent", "probability": 0.8427734375}, {"start": 1452.92, "end": 1453.38, "word": " of", "probability": 0.9638671875}, {"start": 1453.38, "end": 1453.74, "word": " class", "probability": 0.84228515625}, {"start": 1453.74, "end": 1454.2, "word": " standing.", "probability": 0.8173828125}], "temperature": 1.0}, {"id": 55, "seek": 147559, "start": 1455.77, "end": 1475.59, "text": " to see if there is a relationship between these two variables. In this case, there are four rows because the class standing is classified into four groups. So there are four rows and three columns. So this table actually is four by three.", "tokens": [281, 536, 498, 456, 307, 257, 2480, 1296, 613, 732, 9102, 13, 682, 341, 1389, 11, 456, 366, 1451, 13241, 570, 264, 1508, 4877, 307, 20627, 666, 1451, 3935, 13, 407, 456, 366, 1451, 13241, 293, 1045, 13766, 13, 407, 341, 3199, 767, 307, 1451, 538, 1045, 13], "avg_logprob": -0.16757015792690977, "compression_ratio": 1.5827814569536425, "no_speech_prob": 0.0, "words": [{"start": 1455.77, "end": 1455.97, "word": " to", "probability": 0.4423828125}, {"start": 1455.97, "end": 1456.19, "word": " see", "probability": 0.92333984375}, {"start": 1456.19, "end": 1456.33, "word": " if", "probability": 0.94873046875}, {"start": 1456.33, "end": 1456.47, "word": " there", "probability": 0.91357421875}, {"start": 1456.47, "end": 1456.61, "word": " is", "probability": 0.90185546875}, {"start": 1456.61, "end": 1456.73, "word": " a", "probability": 0.9873046875}, {"start": 1456.73, "end": 1457.27, "word": " relationship", "probability": 0.921875}, {"start": 1457.27, "end": 1458.43, "word": " between", "probability": 0.86962890625}, {"start": 1458.43, "end": 1458.97, "word": " these", "probability": 0.85693359375}, {"start": 1458.97, "end": 1459.93, "word": " two", "probability": 0.9140625}, {"start": 1459.93, "end": 1460.43, "word": " variables.", "probability": 0.939453125}, {"start": 1460.75, "end": 1461.05, "word": " In", "probability": 0.95751953125}, {"start": 1461.05, "end": 1461.31, "word": " this", "probability": 0.9462890625}, {"start": 1461.31, "end": 1461.61, "word": " case,", "probability": 0.91259765625}, {"start": 1461.69, "end": 1461.89, "word": " there", "probability": 0.90869140625}, {"start": 1461.89, "end": 1462.19, "word": " are", "probability": 0.9423828125}, {"start": 1462.19, "end": 1462.69, "word": " four", "probability": 0.876953125}, {"start": 1462.69, "end": 1464.33, "word": " rows", "probability": 0.88427734375}, {"start": 1464.33, "end": 1465.17, "word": " because", "probability": 0.5791015625}, {"start": 1465.17, "end": 1465.87, "word": " the", "probability": 0.409912109375}, {"start": 1465.87, "end": 1466.13, "word": " class", "probability": 0.82373046875}, {"start": 1466.13, "end": 1466.61, "word": " standing", "probability": 0.85595703125}, {"start": 1466.61, "end": 1466.85, "word": " is", "probability": 0.87255859375}, {"start": 1466.85, "end": 1467.29, "word": " classified", "probability": 0.91162109375}, {"start": 1467.29, "end": 1467.61, "word": " into", "probability": 0.84423828125}, {"start": 1467.61, "end": 1467.91, "word": " four", "probability": 0.93798828125}, {"start": 1467.91, "end": 1468.29, "word": " groups.", "probability": 0.94970703125}, {"start": 1468.43, "end": 1468.59, "word": " So", "probability": 0.95166015625}, {"start": 1468.59, "end": 1468.77, "word": " there", "probability": 0.693359375}, {"start": 1468.77, "end": 1468.95, "word": " are", "probability": 0.94140625}, {"start": 1468.95, "end": 1469.19, "word": " four", "probability": 0.9462890625}, {"start": 1469.19, "end": 1469.57, "word": " rows", "probability": 0.89111328125}, {"start": 1469.57, "end": 1470.49, "word": " and", "probability": 0.900390625}, {"start": 1470.49, "end": 1471.33, "word": " three", "probability": 0.91357421875}, {"start": 1471.33, "end": 1471.87, "word": " columns.", "probability": 0.94287109375}, {"start": 1472.37, "end": 1472.53, "word": " So", "probability": 0.95556640625}, {"start": 1472.53, "end": 1472.81, "word": " this", "probability": 0.890625}, {"start": 1472.81, "end": 1473.21, "word": " table", "probability": 0.896484375}, {"start": 1473.21, "end": 1473.93, "word": " actually", "probability": 0.833984375}, {"start": 1473.93, "end": 1474.23, "word": " is", "probability": 0.939453125}, {"start": 1474.23, "end": 1474.53, "word": " four", "probability": 0.486572265625}, {"start": 1474.53, "end": 1474.85, "word": " by", "probability": 0.96435546875}, {"start": 1474.85, "end": 1475.59, "word": " three.", "probability": 0.9375}], "temperature": 1.0}, {"id": 56, "seek": 150152, "start": 1476.7, "end": 1501.52, "text": " And there are twelve cells in this case. Now it takes time to compute the expected frequencies because in this case we have to compute the expected frequency for each cell. And we are going to use this formula for only six of them.", "tokens": [400, 456, 366, 14390, 5438, 294, 341, 1389, 13, 823, 309, 2516, 565, 281, 14722, 264, 5176, 20250, 570, 294, 341, 1389, 321, 362, 281, 14722, 264, 5176, 7893, 337, 1184, 2815, 13, 400, 321, 366, 516, 281, 764, 341, 8513, 337, 787, 2309, 295, 552, 13], "avg_logprob": -0.20117187655220428, "compression_ratio": 1.6571428571428573, "no_speech_prob": 0.0, "words": [{"start": 1476.7, "end": 1477.18, "word": " And", "probability": 0.3984375}, {"start": 1477.18, "end": 1477.66, "word": " there", "probability": 0.59033203125}, {"start": 1477.66, "end": 1478.22, "word": " are", "probability": 0.94287109375}, {"start": 1478.22, "end": 1478.84, "word": " twelve", "probability": 0.4501953125}, {"start": 1478.84, "end": 1479.76, "word": " cells", "probability": 0.89697265625}, {"start": 1479.76, "end": 1480.0, "word": " in", "probability": 0.90380859375}, {"start": 1480.0, "end": 1480.2, "word": " this", "probability": 0.93798828125}, {"start": 1480.2, "end": 1480.54, "word": " case.", "probability": 0.9052734375}, {"start": 1481.02, "end": 1481.2, "word": " Now", "probability": 0.80322265625}, {"start": 1481.2, "end": 1481.54, "word": " it", "probability": 0.65576171875}, {"start": 1481.54, "end": 1482.98, "word": " takes", "probability": 0.45458984375}, {"start": 1482.98, "end": 1484.62, "word": " time", "probability": 0.66357421875}, {"start": 1484.62, "end": 1485.74, "word": " to", "probability": 0.89599609375}, {"start": 1485.74, "end": 1486.12, "word": " compute", "probability": 0.90869140625}, {"start": 1486.12, "end": 1486.32, "word": " the", "probability": 0.48828125}, {"start": 1486.32, "end": 1486.66, "word": " expected", "probability": 0.9287109375}, {"start": 1486.66, "end": 1487.22, "word": " frequencies", "probability": 0.67431640625}, {"start": 1487.22, "end": 1487.66, "word": " because", "probability": 0.57568359375}, {"start": 1487.66, "end": 1487.84, "word": " in", "probability": 0.880859375}, {"start": 1487.84, "end": 1488.08, "word": " this", "probability": 0.94775390625}, {"start": 1488.08, "end": 1488.46, "word": " case", "probability": 0.9150390625}, {"start": 1488.46, "end": 1489.36, "word": " we", "probability": 0.6357421875}, {"start": 1489.36, "end": 1489.56, "word": " have", "probability": 0.9443359375}, {"start": 1489.56, "end": 1489.76, "word": " to", "probability": 0.97021484375}, {"start": 1489.76, "end": 1490.14, "word": " compute", "probability": 0.9248046875}, {"start": 1490.14, "end": 1490.46, "word": " the", "probability": 0.8056640625}, {"start": 1490.46, "end": 1490.84, "word": " expected", "probability": 0.923828125}, {"start": 1490.84, "end": 1491.46, "word": " frequency", "probability": 0.88427734375}, {"start": 1491.46, "end": 1491.8, "word": " for", "probability": 0.93798828125}, {"start": 1491.8, "end": 1492.36, "word": " each", "probability": 0.94287109375}, {"start": 1492.36, "end": 1493.96, "word": " cell.", "probability": 0.88037109375}, {"start": 1494.82, "end": 1495.12, "word": " And", "probability": 0.89892578125}, {"start": 1495.12, "end": 1495.26, "word": " we", "probability": 0.94921875}, {"start": 1495.26, "end": 1495.4, "word": " are", "probability": 0.91259765625}, {"start": 1495.4, "end": 1495.7, "word": " going", "probability": 0.94482421875}, {"start": 1495.7, "end": 1495.88, "word": " to", "probability": 0.9609375}, {"start": 1495.88, "end": 1496.14, "word": " use", "probability": 0.880859375}, {"start": 1496.14, "end": 1496.8, "word": " this", "probability": 0.9453125}, {"start": 1496.8, "end": 1499.64, "word": " formula", "probability": 0.88427734375}, {"start": 1499.64, "end": 1500.1, "word": " for", "probability": 0.9423828125}, {"start": 1500.1, "end": 1500.58, "word": " only", "probability": 0.92041015625}, {"start": 1500.58, "end": 1501.12, "word": " six", "probability": 0.88720703125}, {"start": 1501.12, "end": 1501.32, "word": " of", "probability": 0.9716796875}, {"start": 1501.32, "end": 1501.52, "word": " them.", "probability": 0.88330078125}], "temperature": 1.0}, {"id": 57, "seek": 153178, "start": 1503.26, "end": 1531.78, "text": " I mean, we can apply this formula for only six of them. And the others can be computed by the complement by using either column total or row total. So because degrees of freedom is six, that means you may use this rule six times only. The others can be computed by using the complement. So here again, the hypothesis to be tested is,", "tokens": [286, 914, 11, 321, 393, 3079, 341, 8513, 337, 787, 2309, 295, 552, 13, 400, 264, 2357, 393, 312, 40610, 538, 264, 17103, 538, 1228, 2139, 7738, 3217, 420, 5386, 3217, 13, 407, 570, 5310, 295, 5645, 307, 2309, 11, 300, 1355, 291, 815, 764, 341, 4978, 2309, 1413, 787, 13, 440, 2357, 393, 312, 40610, 538, 1228, 264, 17103, 13, 407, 510, 797, 11, 264, 17291, 281, 312, 8246, 307, 11], "avg_logprob": -0.1642765427288944, "compression_ratio": 1.7395833333333333, "no_speech_prob": 0.0, "words": [{"start": 1503.26, "end": 1503.48, "word": " I", "probability": 0.861328125}, {"start": 1503.48, "end": 1503.62, "word": " mean,", "probability": 0.96142578125}, {"start": 1503.66, "end": 1503.78, "word": " we", "probability": 0.9423828125}, {"start": 1503.78, "end": 1504.06, "word": " can", "probability": 0.9482421875}, {"start": 1504.06, "end": 1504.48, "word": " apply", "probability": 0.92529296875}, {"start": 1504.48, "end": 1504.86, "word": " this", "probability": 0.9423828125}, {"start": 1504.86, "end": 1505.54, "word": " formula", "probability": 0.93310546875}, {"start": 1505.54, "end": 1505.92, "word": " for", "probability": 0.90185546875}, {"start": 1505.92, "end": 1506.26, "word": " only", "probability": 0.80810546875}, {"start": 1506.26, "end": 1506.62, "word": " six", "probability": 0.77587890625}, {"start": 1506.62, "end": 1506.82, "word": " of", "probability": 0.97021484375}, {"start": 1506.82, "end": 1507.06, "word": " them.", "probability": 0.8935546875}, {"start": 1507.48, "end": 1507.94, "word": " And", "probability": 0.94677734375}, {"start": 1507.94, "end": 1508.08, "word": " the", "probability": 0.81982421875}, {"start": 1508.08, "end": 1508.38, "word": " others", "probability": 0.91162109375}, {"start": 1508.38, "end": 1508.68, "word": " can", "probability": 0.9462890625}, {"start": 1508.68, "end": 1508.9, "word": " be", "probability": 0.9541015625}, {"start": 1508.9, "end": 1509.38, "word": " computed", "probability": 0.9306640625}, {"start": 1509.38, "end": 1509.66, "word": " by", "probability": 0.966796875}, {"start": 1509.66, "end": 1509.88, "word": " the", "probability": 0.91015625}, {"start": 1509.88, "end": 1510.2, "word": " complement", "probability": 0.84912109375}, {"start": 1510.2, "end": 1511.5, "word": " by", "probability": 0.51611328125}, {"start": 1511.5, "end": 1511.94, "word": " using", "probability": 0.93701171875}, {"start": 1511.94, "end": 1512.7, "word": " either", "probability": 0.93212890625}, {"start": 1512.7, "end": 1513.22, "word": " column", "probability": 0.845703125}, {"start": 1513.22, "end": 1513.6, "word": " total", "probability": 0.80126953125}, {"start": 1513.6, "end": 1514.08, "word": " or", "probability": 0.9453125}, {"start": 1514.08, "end": 1514.3, "word": " row", "probability": 0.86572265625}, {"start": 1514.3, "end": 1514.6, "word": " total.", "probability": 0.6728515625}, {"start": 1516.24, "end": 1516.92, "word": " So", "probability": 0.63232421875}, {"start": 1516.92, "end": 1517.28, "word": " because", "probability": 0.76123046875}, {"start": 1517.28, "end": 1517.74, "word": " degrees", "probability": 0.64013671875}, {"start": 1517.74, "end": 1517.92, "word": " of", "probability": 0.94921875}, {"start": 1517.92, "end": 1518.16, "word": " freedom", "probability": 0.93359375}, {"start": 1518.16, "end": 1518.42, "word": " is", "probability": 0.7080078125}, {"start": 1518.42, "end": 1518.74, "word": " six,", "probability": 0.83251953125}, {"start": 1519.6, "end": 1519.94, "word": " that", "probability": 0.927734375}, {"start": 1519.94, "end": 1520.28, "word": " means", "probability": 0.93505859375}, {"start": 1520.28, "end": 1520.92, "word": " you", "probability": 0.93798828125}, {"start": 1520.92, "end": 1521.22, "word": " may", "probability": 0.931640625}, {"start": 1521.22, "end": 1521.58, "word": " use", "probability": 0.87548828125}, {"start": 1521.58, "end": 1521.86, "word": " this", "probability": 0.94140625}, {"start": 1521.86, "end": 1522.08, "word": " rule", "probability": 0.875}, {"start": 1522.08, "end": 1522.4, "word": " six", "probability": 0.9365234375}, {"start": 1522.4, "end": 1522.82, "word": " times", "probability": 0.9267578125}, {"start": 1522.82, "end": 1523.26, "word": " only.", "probability": 0.89111328125}, {"start": 1523.76, "end": 1523.88, "word": " The", "probability": 0.86474609375}, {"start": 1523.88, "end": 1524.18, "word": " others", "probability": 0.904296875}, {"start": 1524.18, "end": 1524.44, "word": " can", "probability": 0.943359375}, {"start": 1524.44, "end": 1524.62, "word": " be", "probability": 0.9560546875}, {"start": 1524.62, "end": 1525.06, "word": " computed", "probability": 0.943359375}, {"start": 1525.06, "end": 1525.46, "word": " by", "probability": 0.95556640625}, {"start": 1525.46, "end": 1526.04, "word": " using", "probability": 0.9267578125}, {"start": 1526.04, "end": 1526.28, "word": " the", "probability": 0.90576171875}, {"start": 1526.28, "end": 1526.6, "word": " complement.", "probability": 0.63330078125}, {"start": 1527.74, "end": 1528.42, "word": " So", "probability": 0.95458984375}, {"start": 1528.42, "end": 1528.64, "word": " here", "probability": 0.78759765625}, {"start": 1528.64, "end": 1528.98, "word": " again,", "probability": 0.771484375}, {"start": 1529.68, "end": 1529.92, "word": " the", "probability": 0.896484375}, {"start": 1529.92, "end": 1530.38, "word": " hypothesis", "probability": 0.81005859375}, {"start": 1530.38, "end": 1530.78, "word": " to", "probability": 0.9677734375}, {"start": 1530.78, "end": 1530.96, "word": " be", "probability": 0.95166015625}, {"start": 1530.96, "end": 1531.34, "word": " tested", "probability": 0.8818359375}, {"start": 1531.34, "end": 1531.78, "word": " is,", "probability": 0.94140625}], "temperature": 1.0}, {"id": 58, "seek": 156047, "start": 1533.75, "end": 1560.47, "text": " Mean plan and class standing are independent, that means there is no relationship between them. Against alternative hypothesis, mean plan and class standing are dependent, that means there exists significant relationship between them. Now let's see how can we compute the expected cell, the expected frequency for each cell. For example,", "tokens": [12302, 1393, 293, 1508, 4877, 366, 6695, 11, 300, 1355, 456, 307, 572, 2480, 1296, 552, 13, 29995, 8535, 17291, 11, 914, 1393, 293, 1508, 4877, 366, 12334, 11, 300, 1355, 456, 8198, 4776, 2480, 1296, 552, 13, 823, 718, 311, 536, 577, 393, 321, 14722, 264, 5176, 2815, 11, 264, 5176, 7893, 337, 1184, 2815, 13, 1171, 1365, 11], "avg_logprob": -0.20005122559969543, "compression_ratio": 1.8777777777777778, "no_speech_prob": 0.0, "words": [{"start": 1533.75, "end": 1534.07, "word": " Mean", "probability": 0.180908203125}, {"start": 1534.07, "end": 1534.31, "word": " plan", "probability": 0.68603515625}, {"start": 1534.31, "end": 1534.61, "word": " and", "probability": 0.93359375}, {"start": 1534.61, "end": 1534.91, "word": " class", "probability": 0.54296875}, {"start": 1534.91, "end": 1535.27, "word": " standing", "probability": 0.82763671875}, {"start": 1535.27, "end": 1535.49, "word": " are", "probability": 0.92236328125}, {"start": 1535.49, "end": 1535.89, "word": " independent,", "probability": 0.8544921875}, {"start": 1536.29, "end": 1536.55, "word": " that", "probability": 0.79931640625}, {"start": 1536.55, "end": 1536.85, "word": " means", "probability": 0.921875}, {"start": 1536.85, "end": 1537.09, "word": " there", "probability": 0.84130859375}, {"start": 1537.09, "end": 1537.29, "word": " is", "probability": 0.9169921875}, {"start": 1537.29, "end": 1537.47, "word": " no", "probability": 0.93310546875}, {"start": 1537.47, "end": 1537.99, "word": " relationship", "probability": 0.89306640625}, {"start": 1537.99, "end": 1538.37, "word": " between", "probability": 0.876953125}, {"start": 1538.37, "end": 1538.67, "word": " them.", "probability": 0.90478515625}, {"start": 1539.15, "end": 1539.59, "word": " Against", "probability": 0.86572265625}, {"start": 1539.59, "end": 1540.23, "word": " alternative", "probability": 0.68017578125}, {"start": 1540.23, "end": 1540.73, "word": " hypothesis,", "probability": 0.685546875}, {"start": 1540.91, "end": 1541.05, "word": " mean", "probability": 0.89501953125}, {"start": 1541.05, "end": 1541.35, "word": " plan", "probability": 0.95849609375}, {"start": 1541.35, "end": 1541.65, "word": " and", "probability": 0.93701171875}, {"start": 1541.65, "end": 1541.93, "word": " class", "probability": 0.9365234375}, {"start": 1541.93, "end": 1542.29, "word": " standing", "probability": 0.8779296875}, {"start": 1542.29, "end": 1542.77, "word": " are", "probability": 0.9423828125}, {"start": 1542.77, "end": 1543.71, "word": " dependent,", "probability": 0.83837890625}, {"start": 1543.99, "end": 1544.15, "word": " that", "probability": 0.93212890625}, {"start": 1544.15, "end": 1544.43, "word": " means", "probability": 0.935546875}, {"start": 1544.43, "end": 1544.63, "word": " there", "probability": 0.8623046875}, {"start": 1544.63, "end": 1544.99, "word": " exists", "probability": 0.76708984375}, {"start": 1544.99, "end": 1545.83, "word": " significant", "probability": 0.84326171875}, {"start": 1545.83, "end": 1547.03, "word": " relationship", "probability": 0.91162109375}, {"start": 1547.03, "end": 1547.61, "word": " between", "probability": 0.857421875}, {"start": 1547.61, "end": 1548.81, "word": " them.", "probability": 0.89208984375}, {"start": 1549.73, "end": 1549.95, "word": " Now", "probability": 0.955078125}, {"start": 1549.95, "end": 1550.21, "word": " let's", "probability": 0.8212890625}, {"start": 1550.21, "end": 1550.33, "word": " see", "probability": 0.92041015625}, {"start": 1550.33, "end": 1550.43, "word": " how", "probability": 0.9169921875}, {"start": 1550.43, "end": 1550.65, "word": " can", "probability": 0.81689453125}, {"start": 1550.65, "end": 1550.81, "word": " we", "probability": 0.95166015625}, {"start": 1550.81, "end": 1551.39, "word": " compute", "probability": 0.91943359375}, {"start": 1551.39, "end": 1552.41, "word": " the", "probability": 0.8486328125}, {"start": 1552.41, "end": 1552.97, "word": " expected", "probability": 0.91357421875}, {"start": 1552.97, "end": 1554.39, "word": " cell,", "probability": 0.82568359375}, {"start": 1555.99, "end": 1556.21, "word": " the", "probability": 0.8984375}, {"start": 1556.21, "end": 1556.53, "word": " expected", "probability": 0.9208984375}, {"start": 1556.53, "end": 1557.09, "word": " frequency", "probability": 0.96435546875}, {"start": 1557.09, "end": 1557.39, "word": " for", "probability": 0.9384765625}, {"start": 1557.39, "end": 1557.63, "word": " each", "probability": 0.91064453125}, {"start": 1557.63, "end": 1557.89, "word": " cell.", "probability": 0.90478515625}, {"start": 1559.51, "end": 1560.11, "word": " For", "probability": 0.96533203125}, {"start": 1560.11, "end": 1560.47, "word": " example,", "probability": 0.97607421875}], "temperature": 1.0}, {"id": 59, "seek": 159121, "start": 1562.25, "end": 1591.21, "text": " The first observed frequency is 24. Now the expected should be 70 times 70 divided by 200. So for cell 11, the first cell. If expected, we can use this notation, 11. Means first row.", "tokens": [440, 700, 13095, 7893, 307, 4022, 13, 823, 264, 5176, 820, 312, 5285, 1413, 5285, 6666, 538, 2331, 13, 407, 337, 2815, 2975, 11, 264, 700, 2815, 13, 759, 5176, 11, 321, 393, 764, 341, 24657, 11, 2975, 13, 40290, 700, 5386, 13], "avg_logprob": -0.29456675255840475, "compression_ratio": 1.297872340425532, "no_speech_prob": 0.0, "words": [{"start": 1562.25, "end": 1563.15, "word": " The", "probability": 0.398193359375}, {"start": 1563.15, "end": 1563.53, "word": " first", "probability": 0.8642578125}, {"start": 1563.53, "end": 1564.29, "word": " observed", "probability": 0.8076171875}, {"start": 1564.29, "end": 1565.23, "word": " frequency", "probability": 0.9482421875}, {"start": 1565.23, "end": 1565.51, "word": " is", "probability": 0.93115234375}, {"start": 1565.51, "end": 1566.03, "word": " 24.", "probability": 0.93505859375}, {"start": 1567.39, "end": 1567.61, "word": " Now", "probability": 0.92138671875}, {"start": 1567.61, "end": 1567.79, "word": " the", "probability": 0.5556640625}, {"start": 1567.79, "end": 1568.25, "word": " expected", "probability": 0.91650390625}, {"start": 1568.25, "end": 1569.43, "word": " should", "probability": 0.94384765625}, {"start": 1569.43, "end": 1569.89, "word": " be", "probability": 0.95654296875}, {"start": 1569.89, "end": 1571.43, "word": " 70", "probability": 0.91796875}, {"start": 1571.43, "end": 1572.75, "word": " times", "probability": 0.697265625}, {"start": 1572.75, "end": 1573.43, "word": " 70", "probability": 0.95849609375}, {"start": 1573.43, "end": 1574.21, "word": " divided", "probability": 0.7041015625}, {"start": 1574.21, "end": 1574.51, "word": " by", "probability": 0.97314453125}, {"start": 1574.51, "end": 1575.01, "word": " 200.", "probability": 0.92236328125}, {"start": 1575.71, "end": 1575.99, "word": " So", "probability": 0.92041015625}, {"start": 1575.99, "end": 1576.57, "word": " for", "probability": 0.63671875}, {"start": 1576.57, "end": 1576.79, "word": " cell", "probability": 0.884765625}, {"start": 1576.79, "end": 1577.19, "word": " 11,", "probability": 0.71435546875}, {"start": 1578.93, "end": 1579.93, "word": " the", "probability": 0.8203125}, {"start": 1579.93, "end": 1580.29, "word": " first", "probability": 0.888671875}, {"start": 1580.29, "end": 1580.73, "word": " cell.", "probability": 0.76318359375}, {"start": 1582.37, "end": 1582.75, "word": " If", "probability": 0.256591796875}, {"start": 1582.75, "end": 1583.37, "word": " expected,", "probability": 0.90380859375}, {"start": 1584.55, "end": 1584.89, "word": " we", "probability": 0.8974609375}, {"start": 1584.89, "end": 1585.05, "word": " can", "probability": 0.9267578125}, {"start": 1585.05, "end": 1585.21, "word": " use", "probability": 0.8857421875}, {"start": 1585.21, "end": 1585.41, "word": " this", "probability": 0.82470703125}, {"start": 1585.41, "end": 1585.77, "word": " notation,", "probability": 0.98974609375}, {"start": 1585.93, "end": 1586.15, "word": " 11.", "probability": 0.89404296875}, {"start": 1588.03, "end": 1588.79, "word": " Means", "probability": 0.61083984375}, {"start": 1588.79, "end": 1590.83, "word": " first", "probability": 0.2177734375}, {"start": 1590.83, "end": 1591.21, "word": " row.", "probability": 0.50927734375}], "temperature": 1.0}, {"id": 60, "seek": 162009, "start": 1592.05, "end": 1620.09, "text": " First column. That should be 70. It is 70. Multiplied by column totals. Again, in this case, 70. Multiplied by 200. That will give 24.5. Similarly, for the second cell, for 32. 70 times 88 divided by 200.", "tokens": [2386, 7738, 13, 663, 820, 312, 5285, 13, 467, 307, 5285, 13, 29238, 564, 1091, 538, 7738, 1993, 1124, 13, 3764, 11, 294, 341, 1389, 11, 5285, 13, 29238, 564, 1091, 538, 2331, 13, 663, 486, 976, 4022, 13, 20, 13, 13157, 11, 337, 264, 1150, 2815, 11, 337, 8858, 13, 5285, 1413, 24587, 6666, 538, 2331, 13], "avg_logprob": -0.2738347599061869, "compression_ratio": 1.3945578231292517, "no_speech_prob": 0.0, "words": [{"start": 1592.05, "end": 1592.45, "word": " First", "probability": 0.130859375}, {"start": 1592.45, "end": 1593.59, "word": " column.", "probability": 0.89697265625}, {"start": 1594.31, "end": 1594.69, "word": " That", "probability": 0.62451171875}, {"start": 1594.69, "end": 1595.37, "word": " should", "probability": 0.95556640625}, {"start": 1595.37, "end": 1595.61, "word": " be", "probability": 0.9541015625}, {"start": 1595.61, "end": 1596.23, "word": " 70.", "probability": 0.798828125}, {"start": 1596.73, "end": 1596.85, "word": " It", "probability": 0.2578125}, {"start": 1596.85, "end": 1596.97, "word": " is", "probability": 0.93603515625}, {"start": 1596.97, "end": 1597.41, "word": " 70.", "probability": 0.95654296875}, {"start": 1598.95, "end": 1599.75, "word": " Multiplied", "probability": 0.8234049479166666}, {"start": 1599.75, "end": 1600.11, "word": " by", "probability": 0.9658203125}, {"start": 1600.11, "end": 1600.61, "word": " column", "probability": 0.74755859375}, {"start": 1600.61, "end": 1601.29, "word": " totals.", "probability": 0.908203125}, {"start": 1601.65, "end": 1601.97, "word": " Again,", "probability": 0.91162109375}, {"start": 1602.17, "end": 1602.31, "word": " in", "probability": 0.76806640625}, {"start": 1602.31, "end": 1602.49, "word": " this", "probability": 0.94921875}, {"start": 1602.49, "end": 1602.73, "word": " case,", "probability": 0.91650390625}, {"start": 1602.77, "end": 1603.23, "word": " 70.", "probability": 0.9169921875}, {"start": 1603.49, "end": 1603.99, "word": " Multiplied", "probability": 0.7411295572916666}, {"start": 1603.99, "end": 1604.29, "word": " by", "probability": 0.97412109375}, {"start": 1604.29, "end": 1604.59, "word": " 200.", "probability": 0.73193359375}, {"start": 1605.17, "end": 1605.57, "word": " That", "probability": 0.8857421875}, {"start": 1605.57, "end": 1605.83, "word": " will", "probability": 0.8486328125}, {"start": 1605.83, "end": 1606.09, "word": " give", "probability": 0.79541015625}, {"start": 1606.09, "end": 1606.61, "word": " 24", "probability": 0.71435546875}, {"start": 1606.61, "end": 1607.27, "word": ".5.", "probability": 0.98779296875}, {"start": 1610.15, "end": 1610.95, "word": " Similarly,", "probability": 0.79833984375}, {"start": 1611.23, "end": 1611.41, "word": " for", "probability": 0.94921875}, {"start": 1611.41, "end": 1611.77, "word": " the", "probability": 0.91943359375}, {"start": 1611.77, "end": 1612.33, "word": " second", "probability": 0.8916015625}, {"start": 1612.33, "end": 1612.69, "word": " cell,", "probability": 0.912109375}, {"start": 1612.85, "end": 1613.03, "word": " for", "probability": 0.80224609375}, {"start": 1613.03, "end": 1613.73, "word": " 32.", "probability": 0.87939453125}, {"start": 1616.35, "end": 1617.15, "word": " 70", "probability": 0.89990234375}, {"start": 1617.15, "end": 1617.83, "word": " times", "probability": 0.90185546875}, {"start": 1617.83, "end": 1618.61, "word": " 88", "probability": 0.810546875}, {"start": 1618.61, "end": 1619.47, "word": " divided", "probability": 0.68115234375}, {"start": 1619.47, "end": 1619.69, "word": " by", "probability": 0.97216796875}, {"start": 1619.69, "end": 1620.09, "word": " 200.", "probability": 0.9248046875}], "temperature": 1.0}, {"id": 61, "seek": 164942, "start": 1622.82, "end": 1649.42, "text": " So for F22, again it's 70 times 88 divided by 200, that will get 30.8. So 70 times 88, that will give 30.8. 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the third one now either you can use the same equation which is 70 times 42 so you can use 70 times 42 divided by 200 that will give 14.7 or it's just the complement which is 70 minus", "tokens": [20293, 502, 1150, 472, 264, 2636, 472, 586, 2139, 291, 393, 764, 264, 912, 5367, 597, 307, 5285, 1413, 14034, 370, 291, 393, 764, 5285, 1413, 14034, 6666, 538, 2331, 300, 486, 976, 3499, 13, 22, 420, 309, 311, 445, 264, 17103, 597, 307, 5285, 3175], "avg_logprob": -0.23154919705492386, "compression_ratio": 1.5112781954887218, "no_speech_prob": 0.0, "words": [{"start": 1650.64, "end": 1651.02, "word": " rho", "probability": 0.07763671875}, {"start": 1651.02, "end": 1651.36, "word": " 1", "probability": 0.57421875}, {"start": 1651.36, "end": 1652.78, "word": " second", "probability": 0.454345703125}, {"start": 1652.78, "end": 1653.2, "word": " one", "probability": 0.587890625}, {"start": 1653.2, "end": 1654.58, "word": " the", "probability": 0.322998046875}, {"start": 1654.58, "end": 1654.94, 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So either use 70 multiplied by 40 divided by 200 or just the complement, 70 minus.", "tokens": [4022, 13, 20, 1804, 2217, 13, 23, 13, 407, 2139, 764, 5285, 17207, 538, 3356, 6666, 538, 2331, 420, 445, 264, 17103, 11, 5285, 3175, 13], "avg_logprob": -0.3136573985770897, "compression_ratio": 1.1, "no_speech_prob": 0.0, "words": [{"start": 1683.3899999999999, "end": 1684.29, "word": " 24", "probability": 0.188232421875}, {"start": 1684.29, "end": 1685.19, "word": ".5", "probability": 0.90869140625}, {"start": 1685.19, "end": 1686.31, "word": " plus", "probability": 0.35888671875}, {"start": 1686.31, "end": 1686.71, "word": " 30", "probability": 0.9404296875}, {"start": 1686.71, "end": 1687.35, "word": ".8.", "probability": 0.974609375}, {"start": 1688.63, "end": 1689.29, "word": " So", "probability": 0.818359375}, {"start": 1689.29, "end": 1689.59, "word": " either", "probability": 0.82470703125}, {"start": 1689.59, "end": 1690.07, "word": " use", "probability": 0.58349609375}, {"start": 1690.07, "end": 1691.51, "word": " 70", "probability": 0.87646484375}, {"start": 1691.51, "end": 1693.15, "word": " multiplied", "probability": 0.57666015625}, {"start": 1693.15, "end": 1693.47, "word": " by", "probability": 0.97021484375}, {"start": 1693.47, "end": 1694.51, "word": " 40", "probability": 0.89404296875}, {"start": 1694.51, "end": 1694.83, "word": " divided", "probability": 0.6982421875}, {"start": 1694.83, "end": 1695.05, "word": " by", "probability": 0.96630859375}, {"start": 1695.05, "end": 1695.41, "word": " 200", "probability": 0.9189453125}, {"start": 1695.41, "end": 1696.19, "word": " or", "probability": 0.64990234375}, {"start": 1696.19, "end": 1696.55, "word": " just", "probability": 0.9130859375}, {"start": 1696.55, "end": 1696.81, "word": " the", "probability": 0.57373046875}, {"start": 1696.81, "end": 1697.15, "word": " complement,", "probability": 0.8046875}, {"start": 1697.57, "end": 1698.11, "word": " 70", "probability": 0.85009765625}, {"start": 1698.11, "end": 1699.39, "word": " minus.", "probability": 0.96533203125}], "temperature": 1.0}, {"id": 64, "seek": 172256, "start": 1700.8, "end": 1722.56, "text": " 24.5 plus 30.8 will give the same value. So I just compute the expected cell for 1 and 2, and the third one is just the complement. Similarly, for the second row, I mean cell 21, then 22, and 23.", "tokens": [4022, 13, 20, 1804, 2217, 13, 23, 486, 976, 264, 912, 2158, 13, 407, 286, 445, 14722, 264, 5176, 2815, 337, 502, 293, 568, 11, 293, 264, 2636, 472, 307, 445, 264, 17103, 13, 13157, 11, 337, 264, 1150, 5386, 11, 286, 914, 2815, 5080, 11, 550, 5853, 11, 293, 6673, 13], "avg_logprob": -0.18160377920798534, "compression_ratio": 1.3611111111111112, "no_speech_prob": 0.0, "words": [{"start": 1700.8, "end": 1701.22, "word": " 24", "probability": 0.6689453125}, {"start": 1701.22, "end": 1702.02, "word": ".5", "probability": 0.979248046875}, {"start": 1702.02, "end": 1703.1, "word": " plus", "probability": 0.72900390625}, {"start": 1703.1, "end": 1703.54, "word": " 30", "probability": 0.92236328125}, {"start": 1703.54, "end": 1704.12, "word": ".8", "probability": 0.99365234375}, {"start": 1704.12, "end": 1704.36, "word": " will", "probability": 0.83984375}, {"start": 1704.36, "end": 1704.58, "word": " give", "probability": 0.88232421875}, {"start": 1704.58, "end": 1704.76, "word": " the", "probability": 0.89453125}, {"start": 1704.76, "end": 1705.08, "word": " same", "probability": 0.91552734375}, {"start": 1705.08, "end": 1706.08, "word": " value.", "probability": 0.9697265625}, {"start": 1707.38, "end": 1707.84, "word": " So", "probability": 0.88916015625}, {"start": 1707.84, "end": 1707.98, "word": " I", "probability": 0.74462890625}, {"start": 1707.98, "end": 1708.4, "word": " just", "probability": 0.88037109375}, {"start": 1708.4, "end": 1708.96, "word": " compute", "probability": 0.8740234375}, {"start": 1708.96, "end": 1709.26, "word": " the", "probability": 0.89794921875}, {"start": 1709.26, "end": 1709.78, "word": " expected", "probability": 0.9033203125}, {"start": 1709.78, "end": 1710.06, "word": " cell", "probability": 0.8232421875}, {"start": 1710.06, "end": 1710.46, "word": " for", "probability": 0.88134765625}, {"start": 1710.46, "end": 1711.7, "word": " 1", "probability": 0.71484375}, {"start": 1711.7, "end": 1711.84, "word": " and", "probability": 0.916015625}, {"start": 1711.84, "end": 1712.12, "word": " 2,", "probability": 0.99658203125}, {"start": 1712.32, "end": 1712.58, "word": " and", "probability": 0.93310546875}, {"start": 1712.58, "end": 1712.74, "word": " the", "probability": 0.9150390625}, {"start": 1712.74, "end": 1712.98, "word": " third", "probability": 0.89990234375}, {"start": 1712.98, "end": 1713.26, "word": " one", "probability": 0.9248046875}, {"start": 1713.26, "end": 1713.54, "word": " is", "probability": 0.94775390625}, {"start": 1713.54, "end": 1713.86, "word": " just", "probability": 0.91748046875}, {"start": 1713.86, "end": 1714.04, "word": " the", "probability": 0.366943359375}, {"start": 1714.04, "end": 1714.28, "word": " complement.", "probability": 0.67626953125}, {"start": 1715.18, "end": 1715.68, "word": " Similarly,", "probability": 0.80224609375}, {"start": 1715.88, "end": 1716.12, "word": " for", "probability": 0.951171875}, {"start": 1716.12, "end": 1716.3, "word": " the", "probability": 0.91796875}, {"start": 1716.3, "end": 1716.6, "word": " second", "probability": 0.8984375}, {"start": 1716.6, "end": 1716.94, "word": " row,", "probability": 0.91455078125}, {"start": 1717.78, "end": 1718.1, "word": " I", "probability": 0.99462890625}, {"start": 1718.1, "end": 1718.32, "word": " mean", "probability": 0.96044921875}, {"start": 1718.32, "end": 1718.76, "word": " cell", "probability": 0.79443359375}, {"start": 1718.76, "end": 1719.24, "word": " 21,", "probability": 0.44482421875}, {"start": 1720.66, "end": 1721.06, "word": " then", "probability": 0.84619140625}, {"start": 1721.06, "end": 1721.58, "word": " 22,", "probability": 0.97265625}, {"start": 1721.92, "end": 1722.16, "word": " and", "probability": 0.876953125}, {"start": 1722.16, "end": 1722.56, "word": " 23.", "probability": 0.9423828125}], "temperature": 1.0}, {"id": 65, "seek": 174430, "start": 1723.68, "end": 1744.3, "text": " By using the same method, he will get these two values, and the other one is the complement, which is 60 minus these, the sum of these two values, will give 12. Similarly, for the third cell, I'm sorry, the third row, for this value,", "tokens": [3146, 1228, 264, 912, 3170, 11, 415, 486, 483, 613, 732, 4190, 11, 293, 264, 661, 472, 307, 264, 17103, 11, 597, 307, 4060, 3175, 613, 11, 264, 2408, 295, 613, 732, 4190, 11, 486, 976, 2272, 13, 13157, 11, 337, 264, 2636, 2815, 11, 286, 478, 2597, 11, 264, 2636, 5386, 11, 337, 341, 2158, 11], "avg_logprob": -0.2408405210951279, "compression_ratio": 1.5194805194805194, "no_speech_prob": 0.0, "words": [{"start": 1723.68, "end": 1723.94, "word": " By", "probability": 0.40234375}, {"start": 1723.94, "end": 1724.22, "word": " using", "probability": 0.93359375}, {"start": 1724.22, "end": 1724.44, "word": " the", "probability": 0.892578125}, {"start": 1724.44, "end": 1724.68, "word": " same", "probability": 0.916015625}, {"start": 1724.68, "end": 1725.08, "word": " method,", "probability": 0.88427734375}, {"start": 1726.18, "end": 1726.32, "word": " he", "probability": 0.414306640625}, {"start": 1726.32, "end": 1726.44, "word": " will", "probability": 0.83837890625}, {"start": 1726.44, "end": 1726.64, "word": " get", "probability": 0.9326171875}, {"start": 1726.64, "end": 1727.56, "word": " these", "probability": 0.85498046875}, {"start": 1727.56, "end": 1727.94, "word": " two", "probability": 0.892578125}, {"start": 1727.94, "end": 1729.02, "word": " values,", "probability": 0.96142578125}, {"start": 1729.78, "end": 1730.24, "word": " and", "probability": 0.931640625}, {"start": 1730.24, "end": 1730.36, "word": " the", "probability": 0.8388671875}, {"start": 1730.36, "end": 1730.58, "word": " other", "probability": 0.89794921875}, {"start": 1730.58, "end": 1730.78, "word": " one", "probability": 0.919921875}, {"start": 1730.78, "end": 1730.94, "word": " is", "probability": 0.9482421875}, {"start": 1730.94, "end": 1731.1, "word": " the", "probability": 0.90625}, {"start": 1731.1, "end": 1731.48, "word": " complement,", "probability": 0.79052734375}, {"start": 1731.72, "end": 1731.88, "word": " which", "probability": 0.95068359375}, {"start": 1731.88, "end": 1732.1, "word": " is", "probability": 0.94287109375}, {"start": 1732.1, "end": 1732.54, "word": " 60", "probability": 0.87353515625}, {"start": 1732.54, "end": 1732.96, "word": " minus", "probability": 0.97802734375}, {"start": 1732.96, "end": 1733.4, "word": " these,", "probability": 0.46142578125}, {"start": 1733.6, "end": 1733.76, "word": " the", "probability": 0.88671875}, {"start": 1733.76, "end": 1734.0, "word": " sum", "probability": 0.943359375}, {"start": 1734.0, "end": 1734.16, "word": " of", "probability": 0.96630859375}, {"start": 1734.16, "end": 1734.36, "word": " these", "probability": 0.8525390625}, {"start": 1734.36, "end": 1734.56, "word": " two", "probability": 0.77001953125}, {"start": 1734.56, "end": 1734.88, "word": " values,", "probability": 0.8642578125}, {"start": 1735.3, "end": 1735.44, "word": " will", "probability": 0.84423828125}, {"start": 1735.44, "end": 1735.64, "word": " give", "probability": 0.8935546875}, {"start": 1735.64, "end": 1735.96, "word": " 12.", "probability": 0.78271484375}, {"start": 1738.72, "end": 1739.2, "word": " Similarly,", "probability": 0.462646484375}, {"start": 1739.56, "end": 1739.72, "word": " for", "probability": 0.9306640625}, {"start": 1739.72, "end": 1739.88, "word": " the", "probability": 0.9130859375}, {"start": 1739.88, "end": 1740.18, "word": " third", "probability": 0.9208984375}, {"start": 1740.18, "end": 1740.52, "word": " cell,", "probability": 0.86376953125}, {"start": 1741.12, "end": 1741.3, "word": " I'm", "probability": 0.899169921875}, {"start": 1741.3, "end": 1741.52, "word": " sorry,", "probability": 0.85302734375}, {"start": 1741.74, "end": 1741.92, "word": " the", "probability": 0.56787109375}, {"start": 1741.92, "end": 1742.16, "word": " third", "probability": 0.93994140625}, {"start": 1742.16, "end": 1742.44, "word": " row,", "probability": 0.94189453125}, {"start": 1743.38, "end": 1743.7, "word": " for", "probability": 0.95068359375}, {"start": 1743.7, "end": 1743.92, "word": " this", "probability": 0.94775390625}, {"start": 1743.92, "end": 1744.3, "word": " value,", "probability": 0.97802734375}], "temperature": 1.0}, {"id": 66, "seek": 177330, "start": 1745.72, "end": 1773.3, "text": " For 10, it's 30 times 70 divided by 200 will give this result. And the other one is just 30 multiplied by 88 divided by 200. The other one is just the complement, 30 minus the sum of these. Now, for the last column, either 70 multiplied by 70 divided by 200, or", "tokens": [1171, 1266, 11, 309, 311, 2217, 1413, 5285, 6666, 538, 2331, 486, 976, 341, 1874, 13, 400, 264, 661, 472, 307, 445, 2217, 17207, 538, 24587, 6666, 538, 2331, 13, 440, 661, 472, 307, 445, 264, 17103, 11, 2217, 3175, 264, 2408, 295, 613, 13, 823, 11, 337, 264, 1036, 7738, 11, 2139, 5285, 17207, 538, 5285, 6666, 538, 2331, 11, 420], "avg_logprob": -0.22730654714599488, "compression_ratio": 1.6477987421383649, "no_speech_prob": 0.0, "words": [{"start": 1745.72, "end": 1746.0, "word": " For", "probability": 0.33251953125}, {"start": 1746.0, "end": 1746.26, "word": " 10,", "probability": 0.70458984375}, {"start": 1746.52, "end": 1746.76, "word": " it's", "probability": 0.746337890625}, {"start": 1746.76, "end": 1747.14, "word": " 30", "probability": 0.95361328125}, {"start": 1747.14, "end": 1747.46, "word": " times", "probability": 0.73828125}, {"start": 1747.46, "end": 1748.08, "word": " 70", "probability": 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"end": 1758.64, "word": " just", "probability": 0.919921875}, {"start": 1758.64, "end": 1758.84, "word": " the", "probability": 0.501953125}, {"start": 1758.84, "end": 1759.18, "word": " complement,", "probability": 0.76904296875}, {"start": 1759.86, "end": 1760.2, "word": " 30", "probability": 0.9609375}, {"start": 1760.2, "end": 1760.48, "word": " minus", "probability": 0.986328125}, {"start": 1760.48, "end": 1760.7, "word": " the", "probability": 0.91015625}, {"start": 1760.7, "end": 1760.9, "word": " sum", "probability": 0.9443359375}, {"start": 1760.9, "end": 1761.08, "word": " of", "probability": 0.96826171875}, {"start": 1761.08, "end": 1761.26, "word": " these.", "probability": 0.744140625}, {"start": 1762.96, "end": 1763.6, "word": " Now,", "probability": 0.93359375}, {"start": 1763.66, "end": 1763.8, "word": " for", "probability": 0.9541015625}, {"start": 1763.8, "end": 1764.16, "word": " the", "probability": 0.9189453125}, {"start": 1764.16, "end": 1764.7, "word": " last", "probability": 0.88525390625}, {"start": 1764.7, "end": 1765.18, "word": " column,", "probability": 0.83251953125}, {"start": 1766.66, "end": 1768.3, "word": " either", "probability": 0.93701171875}, {"start": 1768.3, "end": 1770.34, "word": " 70", "probability": 0.9609375}, {"start": 1770.34, "end": 1770.74, "word": " multiplied", "probability": 0.7255859375}, {"start": 1770.74, "end": 1771.04, "word": " by", "probability": 0.97314453125}, {"start": 1771.04, "end": 1771.42, "word": " 70", "probability": 0.95703125}, {"start": 1771.42, "end": 1771.74, "word": " divided", "probability": 0.8369140625}, {"start": 1771.74, "end": 1771.94, "word": " by", "probability": 0.96923828125}, {"start": 1771.94, "end": 1772.32, "word": " 200,", "probability": 0.92529296875}, {"start": 1772.76, "end": 1773.3, "word": " or", "probability": 0.96630859375}], "temperature": 1.0}, {"id": 67, "seek": 180112, "start": 1774.56, "end": 1801.12, "text": " 70 this 70 minus the sum of these. 70 this one equals 70 minus the sum of 24 plus 21 plus 10. That will give 14. 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Now for the last one, last one is either by 42 minus the sum of these three, or 40 minus the sum of 14 plus 6, 17.6. 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For this reason, degrees of freedom is six. The other six are computed by the complement as we mentioned. So these are the expected frequencies. It takes time to compute these.", "tokens": [407, 718, 311, 584, 321, 764, 300, 8513, 2309, 1413, 13, 1171, 341, 1778, 11, 5310, 295, 5645, 307, 2309, 13, 440, 661, 2309, 366, 40610, 538, 264, 17103, 382, 321, 2835, 13, 407, 613, 366, 264, 5176, 20250, 13, 467, 2516, 565, 281, 14722, 613, 13], "avg_logprob": -0.21647135571887097, "compression_ratio": 1.4539473684210527, "no_speech_prob": 0.0, "words": [{"start": 1827.04, "end": 1827.38, "word": " So", "probability": 0.87353515625}, {"start": 1827.38, "end": 1827.94, "word": " let's", "probability": 0.7646484375}, {"start": 1827.94, "end": 1828.14, "word": " say", "probability": 0.57763671875}, {"start": 1828.14, "end": 1828.82, "word": " we", "probability": 0.7265625}, {"start": 1828.82, "end": 1829.26, "word": " use", "probability": 0.673828125}, {"start": 1829.26, "end": 1830.1, "word": " that", "probability": 0.9150390625}, {"start": 1830.1, "end": 1831.24, "word": " formula", "probability": 0.8310546875}, {"start": 1831.24, "end": 1832.28, "word": " six", "probability": 0.71337890625}, {"start": 1832.28, "end": 1832.86, "word": " times.", "probability": 0.92626953125}, {"start": 1834.36, "end": 1834.94, "word": " For", "probability": 0.53515625}, {"start": 1834.94, "end": 1835.18, "word": " this", "probability": 0.89404296875}, {"start": 1835.18, "end": 1835.44, "word": " reason,", "probability": 0.9375}, {"start": 1835.76, "end": 1836.18, "word": " degrees", "probability": 0.61376953125}, {"start": 1836.18, "end": 1836.36, "word": " of", "probability": 0.93505859375}, {"start": 1836.36, "end": 1836.54, "word": " freedom", "probability": 0.94677734375}, {"start": 1836.54, "end": 1836.9, "word": " is", "probability": 0.8115234375}, {"start": 1836.9, "end": 1837.46, "word": " six.", "probability": 0.654296875}, {"start": 1838.04, "end": 1838.3, "word": " The", "probability": 0.89599609375}, {"start": 1838.3, "end": 1838.6, "word": " other", "probability": 0.896484375}, {"start": 1838.6, "end": 1839.1, "word": " six", "probability": 0.92724609375}, {"start": 1839.1, "end": 1841.34, "word": " are", "probability": 0.9189453125}, {"start": 1841.34, "end": 1841.86, "word": " computed", "probability": 0.9384765625}, {"start": 1841.86, "end": 1842.78, "word": " by", "probability": 0.96484375}, {"start": 1842.78, "end": 1843.16, "word": " the", "probability": 0.9091796875}, {"start": 1843.16, "end": 1843.56, "word": " complement", "probability": 0.80078125}, {"start": 1843.56, "end": 1845.36, "word": " as", "probability": 0.53662109375}, {"start": 1845.36, "end": 1845.48, "word": " we", "probability": 0.8603515625}, {"start": 1845.48, "end": 1845.76, "word": " mentioned.", "probability": 0.83349609375}, {"start": 1846.24, "end": 1846.48, "word": " So", "probability": 0.93603515625}, {"start": 1846.48, "end": 1846.96, "word": " these", "probability": 0.7705078125}, {"start": 1846.96, "end": 1847.24, "word": " are", "probability": 0.9404296875}, {"start": 1847.24, "end": 1847.38, "word": " the", "probability": 0.9072265625}, {"start": 1847.38, "end": 1847.86, "word": " expected", "probability": 0.90771484375}, {"start": 1847.86, "end": 1849.0, "word": " frequencies.", "probability": 0.78125}, {"start": 1849.5, "end": 1849.64, "word": " It", "probability": 0.9599609375}, {"start": 1849.64, "end": 1849.9, "word": " takes", "probability": 0.79443359375}, {"start": 1849.9, "end": 1850.24, "word": " time", "probability": 0.8955078125}, {"start": 1850.24, "end": 1850.54, "word": " to", "probability": 0.96923828125}, {"start": 1850.54, "end": 1851.06, "word": " compute", "probability": 0.89404296875}, {"start": 1851.06, "end": 1851.48, "word": " these.", "probability": 0.49462890625}], "temperature": 1.0}, {"id": 70, "seek": 187813, "start": 1853.79, "end": 1878.13, "text": " But if you have only two by two table, it's easier. Now based on that, we can compute chi-square statistic value by using this equation for each cell. I mean, the first one, if you go back a little bit to the previous table, here, in order to compute chi-square,", "tokens": [583, 498, 291, 362, 787, 732, 538, 732, 3199, 11, 309, 311, 3571, 13, 823, 2361, 322, 300, 11, 321, 393, 14722, 13228, 12, 33292, 543, 29588, 2158, 538, 1228, 341, 5367, 337, 1184, 2815, 13, 286, 914, 11, 264, 700, 472, 11, 498, 291, 352, 646, 257, 707, 857, 281, 264, 3894, 3199, 11, 510, 11, 294, 1668, 281, 14722, 13228, 12, 33292, 543, 11], "avg_logprob": -0.2150186571612287, "compression_ratio": 1.5380116959064327, "no_speech_prob": 0.0, "words": [{"start": 1853.7900000000002, "end": 1854.39, "word": " But", "probability": 0.271728515625}, {"start": 1854.39, "end": 1854.89, "word": " if", "probability": 0.8515625}, {"start": 1854.89, "end": 1855.01, "word": " you", "probability": 0.96142578125}, {"start": 1855.01, "end": 1855.21, "word": " have", "probability": 0.9150390625}, {"start": 1855.21, "end": 1855.51, "word": " only", "probability": 0.900390625}, 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But again, for two by two, it's straightforward. Anyway, now if you compare the expected and observed cells, you can have an idea either to reject or fail to reject without computing the value itself. Now, 24, 24.5. 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So the difference between observed and expected looks small. In this case, chi-square value is close to zero. So it's 709. Now, without looking at the table we have, we have to don't reject. 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That's for one degrees of freedom and the alpha is 25%. So I expect my decision is don't reject the null hypothesis. 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Now the minimum value of Chi-square is 7.84. I mean critical value. But under 5% is 12.59. So this value is 12.59.", "tokens": [823, 5310, 295, 5645, 1386, 13, 823, 264, 7285, 2158, 295, 17730, 12, 33292, 543, 307, 1614, 13, 25494, 13, 286, 914, 4924, 2158, 13, 583, 833, 1025, 4, 307, 2272, 13, 19600, 13, 407, 341, 2158, 307, 2272, 13, 19600, 13], "avg_logprob": -0.19531249722769095, "compression_ratio": 1.194915254237288, "no_speech_prob": 0.0, "words": [{"start": 2010.2, "end": 2010.5, "word": " Now", "probability": 0.7607421875}, {"start": 2010.5, "end": 2010.76, "word": " degrees", "probability": 0.859375}, {"start": 2010.76, "end": 2010.96, "word": " of", "probability": 0.951171875}, {"start": 2010.96, "end": 2011.14, "word": " freedom", "probability": 0.935546875}, {"start": 2011.14, "end": 2011.64, "word": " 6.", "probability": 0.447998046875}, {"start": 2014.02, "end": 2014.34, "word": " Now", "probability": 0.88134765625}, {"start": 2014.34, "end": 2014.7, "word": " the", "probability": 0.6748046875}, {"start": 2014.7, "end": 2015.08, "word": " minimum", "probability": 0.96484375}, {"start": 2015.08, "end": 2016.04, "word": " value", "probability": 0.9716796875}, {"start": 2016.04, "end": 2016.26, "word": " of", "probability": 0.96337890625}, {"start": 2016.26, "end": 2016.48, "word": " Chi", "probability": 0.468017578125}, {"start": 2016.48, "end": 2016.86, "word": "-square", "probability": 0.7256673177083334}, {"start": 2016.86, "end": 2017.04, "word": " is", "probability": 0.921875}, {"start": 2017.04, "end": 2017.3, "word": " 7", "probability": 0.97021484375}, {"start": 2017.3, "end": 2018.04, "word": ".84.", "probability": 0.98974609375}, {"start": 2018.46, "end": 2018.64, "word": " I", "probability": 0.94091796875}, {"start": 2018.64, "end": 2018.74, "word": " mean", "probability": 0.95849609375}, {"start": 2018.74, "end": 2019.1, "word": " critical", "probability": 0.83251953125}, {"start": 2019.1, "end": 2019.52, "word": " value.", "probability": 0.97607421875}, {"start": 2020.12, "end": 2020.52, "word": " But", "probability": 0.92236328125}, {"start": 2020.52, "end": 2020.92, "word": " under", "probability": 0.85205078125}, {"start": 2020.92, "end": 2021.32, "word": " 5", "probability": 0.88671875}, {"start": 2021.32, "end": 2021.6, "word": "%", "probability": 0.5576171875}, {"start": 2021.6, "end": 2021.98, "word": " is", "probability": 0.81689453125}, {"start": 2021.98, "end": 2022.4, "word": " 12", "probability": 0.9619140625}, {"start": 2022.4, "end": 2023.38, "word": ".59.", "probability": 0.991943359375}, {"start": 2024.2, "end": 2024.52, "word": " So", "probability": 0.755859375}, {"start": 2024.52, "end": 2024.74, "word": " this", "probability": 0.86474609375}, {"start": 2024.74, "end": 2025.1, "word": " value", "probability": 0.97119140625}, {"start": 2025.1, "end": 2025.28, "word": " is", "probability": 0.93798828125}, {"start": 2025.28, "end": 2025.66, "word": " 12", "probability": 0.9306640625}, {"start": 2025.66, "end": 2026.36, "word": ".59.", "probability": 0.843017578125}], "temperature": 1.0}, {"id": 77, "seek": 205548, "start": 2027.97, "end": 2055.49, "text": " So critical value is 12.59. So my rejection region is above this value. Now, my chi-square value falls in the non-rejection regions. It's very small value. So chi-square statistic is 0.709. It's much smaller.", "tokens": [407, 4924, 2158, 307, 2272, 13, 19600, 13, 407, 452, 26044, 4458, 307, 3673, 341, 2158, 13, 823, 11, 452, 13228, 12, 33292, 543, 2158, 8804, 294, 264, 2107, 12, 265, 1020, 313, 10682, 13, 467, 311, 588, 1359, 2158, 13, 407, 13228, 12, 33292, 543, 29588, 307, 1958, 13, 5867, 24, 13, 467, 311, 709, 4356, 13], "avg_logprob": -0.17677435784016626, "compression_ratio": 1.4413793103448276, "no_speech_prob": 0.0, "words": [{"start": 2027.97, "end": 2028.29, "word": " So", "probability": 0.693359375}, {"start": 2028.29, "end": 2028.69, "word": " critical", "probability": 0.7138671875}, {"start": 2028.69, "end": 2029.17, "word": " value", "probability": 0.97265625}, {"start": 2029.17, "end": 2030.29, "word": " is", "probability": 0.8740234375}, {"start": 2030.29, "end": 2030.71, "word": " 12", "probability": 0.89697265625}, {"start": 2030.71, "end": 2031.71, "word": ".59.", "probability": 0.964111328125}, {"start": 2032.13, "end": 2032.85, "word": " So", 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So conclusion, there is not sufficient evidence that Mealy Plan, which was classified into three groups, 20 per week or 10 per week or none, and class standing.", "tokens": [407, 452, 3537, 307, 11, 500, 380, 8248, 264, 18184, 17291, 13, 407, 10063, 11, 456, 307, 406, 11563, 4467, 300, 1923, 5222, 8112, 11, 597, 390, 20627, 666, 1045, 3935, 11, 945, 680, 1243, 420, 1266, 680, 1243, 420, 6022, 11, 293, 1508, 4877, 13], "avg_logprob": -0.17785904572365133, "compression_ratio": 1.3986928104575163, "no_speech_prob": 0.0, "words": [{"start": 2069.11, "end": 2069.47, "word": " So", "probability": 0.84326171875}, {"start": 2069.47, "end": 2069.67, "word": " my", "probability": 0.76171875}, {"start": 2069.67, "end": 2070.07, "word": " decision", "probability": 0.93896484375}, {"start": 2070.07, "end": 2070.59, "word": " is,", "probability": 0.94140625}, {"start": 2071.77, "end": 2072.01, "word": " don't", "probability": 0.9111328125}, {"start": 2072.01, "end": 2072.53, "word": " reject", "probability": 0.9140625}, {"start": 2072.53, "end": 2073.17, "word": " the", "probability": 0.888671875}, {"start": 2073.17, "end": 2073.33, "word": " null", "probability": 0.93115234375}, {"start": 2073.33, "end": 2073.85, "word": " hypothesis.", "probability": 0.849609375}, {"start": 2074.77, "end": 2074.89, "word": " So", "probability": 0.88720703125}, {"start": 2074.89, "end": 2075.41, "word": " conclusion,", "probability": 0.74560546875}, {"start": 2076.17, "end": 2076.35, "word": " there", "probability": 0.90234375}, {"start": 2076.35, "end": 2076.51, "word": " is", "probability": 0.9267578125}, {"start": 2076.51, "end": 2076.69, "word": " not", "probability": 0.9345703125}, {"start": 2076.69, "end": 2077.17, "word": " sufficient", "probability": 0.90380859375}, {"start": 2077.17, "end": 2077.59, "word": " evidence", "probability": 0.955078125}, {"start": 2077.59, "end": 2078.27, "word": " that", "probability": 0.9306640625}, {"start": 2078.27, "end": 2079.63, "word": " Mealy", "probability": 0.688232421875}, {"start": 2079.63, "end": 2079.99, "word": " Plan,", "probability": 0.69482421875}, {"start": 2080.69, "end": 2081.15, "word": " which", "probability": 0.9501953125}, {"start": 2081.15, "end": 2081.41, "word": " was", "probability": 0.95458984375}, {"start": 2081.41, "end": 2081.87, "word": " classified", "probability": 0.9384765625}, {"start": 2081.87, "end": 2082.27, "word": " into", "probability": 0.84619140625}, {"start": 2082.27, "end": 2082.57, "word": " three", "probability": 0.87841796875}, {"start": 2082.57, "end": 2083.05, "word": " groups,", "probability": 0.9404296875}, {"start": 2083.77, "end": 2084.17, "word": " 20", "probability": 0.54248046875}, {"start": 2084.17, "end": 2084.43, "word": " per", "probability": 0.7861328125}, {"start": 2084.43, "end": 2084.75, "word": " week", "probability": 0.96240234375}, {"start": 2084.75, "end": 2085.31, "word": " or", "probability": 0.69287109375}, {"start": 2085.31, "end": 2085.65, "word": " 10", "probability": 0.92138671875}, {"start": 2085.65, "end": 2086.09, "word": " per", "probability": 0.93017578125}, {"start": 2086.09, "end": 2086.31, "word": " week", "probability": 0.94921875}, {"start": 2086.31, "end": 2086.55, "word": " or", "probability": 0.91796875}, {"start": 2086.55, "end": 2086.79, "word": " none,", "probability": 0.86376953125}, {"start": 2087.59, "end": 2087.89, "word": " and", "probability": 0.92724609375}, {"start": 2087.89, "end": 2088.27, "word": " class", "probability": 0.8076171875}, {"start": 2088.27, "end": 2088.79, "word": " standing.", "probability": 0.8095703125}], "temperature": 1.0}, {"id": 80, "seek": 211359, "start": 2089.65, "end": 2113.59, "text": " which is classified into four groups, freshman, sophomore, junior, and senior are related. So you don't have sufficient evidence that they are related. It means they are independent. So the two variables in this case are independent.", "tokens": [597, 307, 20627, 666, 1451, 3935, 11, 22154, 11, 35798, 11, 16195, 11, 293, 7965, 366, 4077, 13, 407, 291, 500, 380, 362, 11563, 4467, 300, 436, 366, 4077, 13, 467, 1355, 436, 366, 6695, 13, 407, 264, 732, 9102, 294, 341, 1389, 366, 6695, 13], "avg_logprob": -0.20611702317887165, "compression_ratio": 1.5294117647058822, "no_speech_prob": 0.0, "words": [{"start": 2089.65, "end": 2090.05, "word": " which", "probability": 0.2379150390625}, {"start": 2090.05, "end": 2090.31, "word": " is", "probability": 0.84228515625}, {"start": 2090.31, "end": 2090.77, "word": " classified", "probability": 0.958984375}, {"start": 2090.77, "end": 2091.11, "word": " into", "probability": 0.83642578125}, {"start": 2091.11, "end": 2091.57, "word": " four", "probability": 0.83203125}, {"start": 2091.57, "end": 2092.29, "word": " groups,", "probability": 0.94140625}, {"start": 2093.29, "end": 2093.81, "word": " freshman,", "probability": 0.29443359375}, {"start": 2094.45, "end": 2094.75, "word": " sophomore,", "probability": 0.765625}, {"start": 2095.01, "end": 2095.25, "word": " junior,", "probability": 0.96728515625}, {"start": 2095.49, "end": 2095.69, "word": " and", "probability": 0.9365234375}, {"start": 2095.69, "end": 2095.99, "word": " senior", "probability": 0.93310546875}, {"start": 2095.99, "end": 2096.73, "word": " are", "probability": 0.51171875}, {"start": 2096.73, "end": 2097.27, "word": " related.", "probability": 0.966796875}, {"start": 2097.39, "end": 2097.51, "word": " So", "probability": 0.94384765625}, {"start": 2097.51, "end": 2097.65, "word": " you", "probability": 0.68505859375}, {"start": 2097.65, "end": 2097.81, "word": " don't", "probability": 0.971435546875}, {"start": 2097.81, "end": 2098.03, "word": " have", "probability": 0.94287109375}, {"start": 2098.03, "end": 2098.45, "word": " sufficient", "probability": 0.93505859375}, {"start": 2098.45, "end": 2098.89, "word": " evidence", "probability": 0.953125}, {"start": 2098.89, "end": 2099.53, "word": " that", "probability": 0.9296875}, {"start": 2099.53, "end": 2099.75, "word": " they", "probability": 0.8896484375}, {"start": 2099.75, "end": 2099.97, "word": " are", "probability": 0.93994140625}, {"start": 2099.97, "end": 2100.49, "word": " related.", "probability": 0.97119140625}, {"start": 2100.59, "end": 2100.69, "word": " It", "probability": 0.90576171875}, {"start": 2100.69, "end": 2100.93, "word": " means", "probability": 0.93359375}, {"start": 2100.93, "end": 2101.15, "word": " they", "probability": 0.8623046875}, {"start": 2101.15, "end": 2101.55, "word": " are", "probability": 0.94140625}, {"start": 2101.55, "end": 2102.73, "word": " independent.", "probability": 0.90869140625}, {"start": 2103.55, "end": 2104.11, "word": " So", "probability": 0.95361328125}, {"start": 2104.11, "end": 2104.73, "word": " the", "probability": 0.7783203125}, {"start": 2104.73, "end": 2104.97, "word": " two", "probability": 0.87353515625}, {"start": 2104.97, "end": 2105.63, "word": " variables", "probability": 0.9453125}, {"start": 2105.63, "end": 2108.59, "word": " in", "probability": 0.5576171875}, {"start": 2108.59, "end": 2108.87, "word": " this", "probability": 0.9462890625}, {"start": 2108.87, "end": 2109.41, "word": " case", "probability": 0.90087890625}, {"start": 2109.41, "end": 2112.19, "word": " are", "probability": 0.908203125}, {"start": 2112.19, "end": 2113.59, "word": " independent.", "probability": 0.88330078125}], "temperature": 1.0}, {"id": 81, "seek": 214726, "start": 2118.42, "end": 2147.26, "text": " It means there is no relationship between number of meals and class standing. It means the proportions are equal. So this means pi 1 equals pi 2 equals pi 3. So the three proportions are equal. Pi 1 for 20 meals per week is the same as 10 or none according to class standing. Any question?", "tokens": [467, 1355, 456, 307, 572, 2480, 1296, 1230, 295, 12832, 293, 1508, 4877, 13, 467, 1355, 264, 32482, 366, 2681, 13, 407, 341, 1355, 3895, 502, 6915, 3895, 568, 6915, 3895, 805, 13, 407, 264, 1045, 32482, 366, 2681, 13, 17741, 502, 337, 945, 12832, 680, 1243, 307, 264, 912, 382, 1266, 420, 6022, 4650, 281, 1508, 4877, 13, 2639, 1168, 30], "avg_logprob": -0.14880952854005117, "compression_ratio": 1.7159763313609468, "no_speech_prob": 0.0, "words": [{"start": 2118.42, "end": 2118.66, "word": " It", "probability": 0.75341796875}, {"start": 2118.66, "end": 2118.92, "word": " means", "probability": 0.921875}, {"start": 2118.92, "end": 2119.12, "word": " there", "probability": 0.8447265625}, {"start": 2119.12, "end": 2119.32, "word": " is", "probability": 0.9267578125}, {"start": 2119.32, "end": 2119.56, "word": " no", "probability": 0.94775390625}, {"start": 2119.56, "end": 2120.12, "word": " relationship", "probability": 0.90673828125}, {"start": 2120.12, "end": 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{"start": 2146.96, "end": 2147.26, "word": " question?", "probability": 0.57763671875}], "temperature": 1.0}, {"id": 82, "seek": 216988, "start": 2148.88, "end": 2169.88, "text": " I think it's straightforward test, maybe even easier than using a T statistic. And that's all for this chapter. Any questions? I will do some practice problems for chapter 11.", "tokens": [286, 519, 309, 311, 15325, 1500, 11, 1310, 754, 3571, 813, 1228, 257, 314, 29588, 13, 400, 300, 311, 439, 337, 341, 7187, 13, 2639, 1651, 30, 286, 486, 360, 512, 3124, 2740, 337, 7187, 2975, 13], "avg_logprob": -0.21504933543895421, "compression_ratio": 1.3037037037037038, "no_speech_prob": 0.0, "words": [{"start": 2148.88, "end": 2149.12, "word": " I", "probability": 0.94140625}, {"start": 2149.12, "end": 2149.3, "word": " think", "probability": 0.912109375}, {"start": 2149.3, "end": 2149.48, "word": " it's", "probability": 0.6895751953125}, {"start": 2149.48, "end": 2150.04, "word": " straightforward", "probability": 0.77197265625}, {"start": 2150.04, "end": 2151.66, "word": " test,", "probability": 0.6142578125}, {"start": 2152.36, "end": 2152.6, "word": " maybe", "probability": 0.90380859375}, {"start": 2152.6, "end": 2153.3, "word": " even", "probability": 0.765625}, {"start": 2153.3, "end": 2153.82, "word": " easier", "probability": 0.98388671875}, {"start": 2153.82, "end": 2154.26, "word": " than", "probability": 0.9375}, {"start": 2154.26, "end": 2155.66, "word": " using", "probability": 0.91162109375}, {"start": 2155.66, "end": 2156.34, "word": " a", "probability": 0.5400390625}, {"start": 2156.34, "end": 2156.6, "word": " T", "probability": 0.54052734375}, {"start": 2156.6, "end": 2157.72, "word": " statistic.", "probability": 0.8525390625}, {"start": 2158.62, "end": 2158.74, "word": " And", "probability": 0.86474609375}, {"start": 2158.74, "end": 2159.14, "word": " that's", "probability": 0.964599609375}, {"start": 2159.14, "end": 2159.6, "word": " all", "probability": 0.953125}, {"start": 2159.6, "end": 2160.56, "word": " for", "probability": 0.94384765625}, {"start": 2160.56, "end": 2161.3, "word": " this", "probability": 0.9326171875}, {"start": 2161.3, "end": 2161.72, "word": " chapter.", "probability": 0.9013671875}, {"start": 2162.78, "end": 2163.16, "word": " Any", "probability": 0.9072265625}, {"start": 2163.16, "end": 2163.44, "word": " questions?", "probability": 0.5234375}, {"start": 2164.46, "end": 2165.5, "word": " I", "probability": 0.9765625}, {"start": 2165.5, "end": 2165.66, "word": " will", "probability": 0.8896484375}, {"start": 2165.66, "end": 2165.84, "word": " do", "probability": 0.9580078125}, {"start": 2165.84, "end": 2166.26, "word": " some", "probability": 0.9111328125}, {"start": 2166.26, "end": 2167.4, "word": " practice", "probability": 0.9248046875}, {"start": 2167.4, "end": 2168.42, "word": " problems", "probability": 0.876953125}, {"start": 2168.42, "end": 2168.92, "word": " for", "probability": 0.94482421875}, {"start": 2168.92, "end": 2169.34, "word": " chapter", "probability": 0.62255859375}, {"start": 2169.34, "end": 2169.88, "word": " 11.", "probability": 0.7646484375}], "temperature": 1.0}, {"id": 83, "seek": 219169, "start": 2171.76, "end": 2191.7, "text": " These problems will be posted in the course website this week, sometime this week, maybe tomorrow or after tomorrow. So Monday or Tuesday I'm going to post the practice problems and solutions for chapter 11. So let's do some of these problems.", "tokens": [1981, 2740, 486, 312, 9437, 294, 264, 1164, 3144, 341, 1243, 11, 15053, 341, 1243, 11, 1310, 4153, 420, 934, 4153, 13, 407, 8138, 420, 10017, 286, 478, 516, 281, 2183, 264, 3124, 2740, 293, 6547, 337, 7187, 2975, 13, 407, 718, 311, 360, 512, 295, 613, 2740, 13], "avg_logprob": -0.1859375062584877, "compression_ratio": 1.525, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 2171.76, "end": 2172.36, "word": " These", "probability": 0.52978515625}, {"start": 2172.36, "end": 2172.78, "word": " problems", "probability": 0.83251953125}, {"start": 2172.78, "end": 2173.0, "word": " will", "probability": 0.8857421875}, {"start": 2173.0, "end": 2173.14, "word": " be", "probability": 0.90478515625}, {"start": 2173.14, "end": 2173.48, "word": " posted", "probability": 0.93994140625}, {"start": 2173.48, "end": 2173.72, "word": " in", "probability": 0.6533203125}, {"start": 2173.72, "end": 2173.86, "word": " the", "probability": 0.8857421875}, {"start": 2173.86, "end": 2174.08, "word": " course", "probability": 0.96728515625}, {"start": 2174.08, "end": 2174.58, "word": " website", "probability": 0.87841796875}, {"start": 2174.58, "end": 2176.16, "word": " this", "probability": 0.56396484375}, {"start": 2176.16, "end": 2176.48, "word": " week,", "probability": 0.9267578125}, {"start": 2176.6, "end": 2176.88, "word": " sometime", "probability": 0.92578125}, {"start": 2176.88, "end": 2177.24, "word": " this", "probability": 0.9375}, {"start": 2177.24, "end": 2177.48, "word": " week,", "probability": 0.93896484375}, {"start": 2177.62, "end": 2177.76, "word": " maybe", "probability": 0.9208984375}, {"start": 2177.76, "end": 2178.3, "word": " tomorrow", "probability": 0.87109375}, {"start": 2178.3, "end": 2178.88, "word": " or", "probability": 0.86865234375}, {"start": 2178.88, "end": 2179.22, "word": " after", "probability": 0.78515625}, {"start": 2179.22, "end": 2179.66, "word": " tomorrow.", "probability": 0.904296875}, {"start": 2180.38, "end": 2180.6, "word": " So", "probability": 0.87890625}, {"start": 2180.6, "end": 2180.96, "word": " Monday", "probability": 0.67138671875}, {"start": 2180.96, "end": 2181.32, "word": " or", "probability": 0.93408203125}, {"start": 2181.32, "end": 2181.68, "word": " Tuesday", "probability": 0.8798828125}, {"start": 2181.68, "end": 2181.98, "word": " I'm", "probability": 0.7529296875}, {"start": 2181.98, "end": 2182.22, "word": " going", "probability": 0.9453125}, {"start": 2182.22, "end": 2182.42, "word": " to", "probability": 0.96337890625}, {"start": 2182.42, "end": 2182.84, "word": " post", "probability": 0.8984375}, {"start": 2182.84, "end": 2184.34, "word": " the", "probability": 0.89306640625}, {"start": 2184.34, "end": 2184.96, "word": " practice", "probability": 0.92578125}, {"start": 2184.96, "end": 2185.56, "word": " problems", "probability": 0.83642578125}, {"start": 2185.56, "end": 2185.92, "word": " and", "probability": 0.93994140625}, {"start": 2185.92, "end": 2186.58, "word": " solutions", "probability": 0.9345703125}, {"start": 2186.58, "end": 2186.92, "word": " for", "probability": 0.939453125}, {"start": 2186.92, "end": 2187.28, "word": " chapter", "probability": 0.4912109375}, {"start": 2187.28, "end": 2187.7, "word": " 11.", "probability": 0.7548828125}, {"start": 2188.58, "end": 2188.84, "word": " So", "probability": 0.953125}, {"start": 2188.84, "end": 2189.1, "word": " let's", "probability": 0.947021484375}, {"start": 2189.1, "end": 2189.26, "word": " do", "probability": 0.92626953125}, {"start": 2189.26, "end": 2189.64, "word": " some", "probability": 0.90673828125}, {"start": 2189.64, "end": 2190.1, "word": " of", "probability": 0.96826171875}, {"start": 2190.1, "end": 2190.54, "word": " these", "probability": 0.83203125}, {"start": 2190.54, "end": 2191.7, "word": " problems.", "probability": 0.8251953125}], "temperature": 1.0}, {"id": 84, "seek": 222564, "start": 2200.16, "end": 2225.64, "text": " Let's do some of multiple choice problems. When testing for independence in contingency table with three rows and four columns.", "tokens": [961, 311, 360, 512, 295, 3866, 3922, 2740, 13, 1133, 4997, 337, 14640, 294, 27820, 3020, 3199, 365, 1045, 13241, 293, 1451, 13766, 13], "avg_logprob": -0.18078124523162842, "compression_ratio": 1.2190476190476192, "no_speech_prob": 0.0, "words": [{"start": 2200.16, "end": 2201.04, "word": " Let's", "probability": 0.890380859375}, {"start": 2201.04, "end": 2201.34, "word": " do", "probability": 0.95556640625}, {"start": 2201.34, "end": 2201.74, "word": " some", "probability": 0.8935546875}, {"start": 2201.74, "end": 2202.1, "word": " of", "probability": 0.449951171875}, {"start": 2202.1, "end": 2202.46, "word": " multiple", "probability": 0.90283203125}, {"start": 2202.46, "end": 2202.84, "word": " choice", "probability": 0.64208984375}, {"start": 2202.84, "end": 2203.26, "word": " problems.", "probability": 0.8369140625}, {"start": 2215.0, "end": 2215.88, "word": " When", "probability": 0.875}, {"start": 2215.88, "end": 2216.24, "word": " testing", "probability": 0.88623046875}, {"start": 2216.24, "end": 2216.7, "word": " for", "probability": 0.90625}, {"start": 2216.7, "end": 2217.3, "word": " independence", "probability": 0.79150390625}, {"start": 2217.3, "end": 2218.4, "word": " in", "probability": 0.7705078125}, {"start": 2218.4, "end": 2219.08, "word": " contingency", "probability": 0.843994140625}, {"start": 2219.08, "end": 2219.42, "word": " table", "probability": 0.8125}, {"start": 2219.42, "end": 2219.64, "word": " with", "probability": 0.8603515625}, {"start": 2219.64, "end": 2219.9, "word": " three", "probability": 0.8125}, {"start": 2219.9, "end": 2220.36, "word": " rows", "probability": 0.8759765625}, {"start": 2220.36, "end": 2223.84, "word": " and", "probability": 0.72509765625}, {"start": 2223.84, "end": 2225.22, "word": " four", "probability": 0.95068359375}, {"start": 2225.22, "end": 2225.64, "word": " columns.", "probability": 0.9521484375}], "temperature": 1.0}, {"id": 85, "seek": 225213, "start": 2227.73, "end": 2252.13, "text": " So there are three rows, four columns. There are degrees of freedom. So degrees of freedom. R minus one multiplied by C minus one. Two times three is six. So there are six degrees of freedom. Second question.", "tokens": [407, 456, 366, 1045, 13241, 11, 1451, 13766, 13, 821, 366, 5310, 295, 5645, 13, 407, 5310, 295, 5645, 13, 497, 3175, 472, 17207, 538, 383, 3175, 472, 13, 4453, 1413, 1045, 307, 2309, 13, 407, 456, 366, 2309, 5310, 295, 5645, 13, 5736, 1168, 13], "avg_logprob": -0.19082446998738228, "compression_ratio": 1.6587301587301588, "no_speech_prob": 0.0, "words": [{"start": 2227.73, "end": 2227.97, "word": " So", "probability": 0.6845703125}, {"start": 2227.97, "end": 2228.17, "word": " there", "probability": 0.69873046875}, {"start": 2228.17, "end": 2228.35, "word": " are", "probability": 0.93505859375}, {"start": 2228.35, "end": 2228.87, "word": " three", "probability": 0.65478515625}, {"start": 2228.87, "end": 2229.81, "word": " rows,", "probability": 0.91064453125}, {"start": 2230.05, "end": 2230.25, "word": " four", "probability": 0.92333984375}, {"start": 2230.25, "end": 2230.71, "word": " columns.", "probability": 0.931640625}, {"start": 2231.89, "end": 2232.45, "word": " There", "probability": 0.71484375}, {"start": 2232.45, "end": 2233.73, "word": " are", "probability": 0.9462890625}, {"start": 2233.73, "end": 2235.43, "word": " degrees", "probability": 0.89599609375}, {"start": 2235.43, "end": 2235.63, "word": " of", "probability": 0.9619140625}, {"start": 2235.63, "end": 2235.89, "word": " freedom.", "probability": 0.93017578125}, {"start": 2237.09, "end": 2237.79, "word": " So", "probability": 0.583984375}, {"start": 2237.79, "end": 2238.15, "word": " degrees", "probability": 0.8583984375}, {"start": 2238.15, "end": 2238.39, "word": " of", "probability": 0.966796875}, {"start": 2238.39, "end": 2238.71, "word": " freedom.", "probability": 0.9296875}, {"start": 2239.77, "end": 2240.47, "word": " R", "probability": 0.8271484375}, {"start": 2240.47, "end": 2240.77, "word": " minus", "probability": 0.90771484375}, {"start": 2240.77, "end": 2241.11, "word": " one", "probability": 0.5693359375}, {"start": 2241.11, "end": 2242.13, "word": " multiplied", "probability": 0.57275390625}, {"start": 2242.13, "end": 2242.49, "word": " by", "probability": 0.9716796875}, {"start": 2242.49, "end": 2242.69, "word": " C", "probability": 0.646484375}, {"start": 2242.69, "end": 2243.01, "word": " minus", "probability": 0.98486328125}, {"start": 2243.01, "end": 2243.31, "word": " one.", "probability": 0.92626953125}, {"start": 2244.09, "end": 2244.43, "word": " Two", "probability": 0.54736328125}, {"start": 2244.43, "end": 2244.87, "word": " times", "probability": 0.9189453125}, {"start": 2244.87, "end": 2245.47, "word": " three", "probability": 0.91943359375}, {"start": 2245.47, "end": 2246.33, "word": " is", "probability": 0.8955078125}, {"start": 2246.33, "end": 2246.59, "word": " six.", "probability": 0.9404296875}, {"start": 2246.91, "end": 2247.19, "word": " So", "probability": 0.9482421875}, {"start": 2247.19, "end": 2247.37, "word": " there", "probability": 0.8974609375}, {"start": 2247.37, "end": 2247.57, "word": " are", "probability": 0.93896484375}, {"start": 2247.57, "end": 2247.99, "word": " six", "probability": 0.93359375}, {"start": 2247.99, "end": 2248.63, "word": " degrees", "probability": 0.939453125}, {"start": 2248.63, "end": 2249.45, "word": " of", "probability": 0.96630859375}, {"start": 2249.45, "end": 2249.93, "word": " freedom.", "probability": 0.94140625}, {"start": 2251.25, "end": 2251.71, "word": " Second", "probability": 0.79443359375}, {"start": 2251.71, "end": 2252.13, "word": " question.", "probability": 0.90283203125}], "temperature": 1.0}, {"id": 86, "seek": 227489, "start": 2256.71, "end": 2274.89, "text": " If we wish to determine whether there is evidence that the proportion of items of interest is the same in group 1 as in group 2, the appropriate test to use is. So here we are testing", "tokens": [759, 321, 3172, 281, 6997, 1968, 456, 307, 4467, 300, 264, 16068, 295, 4754, 295, 1179, 307, 264, 912, 294, 1594, 502, 382, 294, 1594, 568, 11, 264, 6854, 1500, 281, 764, 307, 13, 407, 510, 321, 366, 4997], "avg_logprob": -0.16474608778953553, "compression_ratio": 1.4488188976377954, "no_speech_prob": 0.0, "words": [{"start": 2256.71, "end": 2257.05, "word": " If", "probability": 0.76220703125}, {"start": 2257.05, "end": 2257.23, "word": " we", "probability": 0.955078125}, {"start": 2257.23, "end": 2257.67, "word": " wish", "probability": 0.88525390625}, {"start": 2257.67, "end": 2259.73, "word": " to", "probability": 0.939453125}, {"start": 2259.73, "end": 2260.33, "word": " determine", "probability": 0.9150390625}, {"start": 2260.33, "end": 2261.85, "word": " whether", "probability": 0.91943359375}, {"start": 2261.85, "end": 2262.21, "word": " there", "probability": 0.9169921875}, {"start": 2262.21, "end": 2262.47, "word": " is", "probability": 0.93017578125}, {"start": 2262.47, "end": 2263.15, "word": " evidence", "probability": 0.95361328125}, {"start": 2263.15, "end": 2263.65, "word": " that", "probability": 0.9248046875}, {"start": 2263.65, "end": 2263.85, "word": " the", "probability": 0.89208984375}, {"start": 2263.85, "end": 2264.29, "word": " proportion", "probability": 0.8388671875}, {"start": 2264.29, "end": 2264.53, "word": " of", "probability": 0.970703125}, {"start": 2264.53, "end": 2265.03, "word": " items", "probability": 0.78271484375}, {"start": 2265.03, "end": 2265.27, "word": " of", "probability": 0.96826171875}, {"start": 2265.27, "end": 2265.81, "word": " interest", "probability": 0.90087890625}, {"start": 2265.81, "end": 2266.67, "word": " is", "probability": 0.90283203125}, {"start": 2266.67, "end": 2266.89, "word": " the", "probability": 0.9228515625}, {"start": 2266.89, "end": 2267.17, "word": " same", "probability": 0.9130859375}, {"start": 2267.17, "end": 2267.29, "word": " in", "probability": 0.9326171875}, {"start": 2267.29, "end": 2267.55, "word": " group", "probability": 0.6328125}, {"start": 2267.55, "end": 2268.09, "word": " 1", "probability": 0.568359375}, {"start": 2268.09, "end": 2269.15, "word": " as", "probability": 0.9267578125}, {"start": 2269.15, "end": 2269.31, "word": " in", "probability": 0.8369140625}, {"start": 2269.31, "end": 2269.67, "word": " group", "probability": 0.9345703125}, {"start": 2269.67, "end": 2270.09, "word": " 2,", "probability": 0.98681640625}, {"start": 2270.95, "end": 2271.07, "word": " the", "probability": 0.87548828125}, {"start": 2271.07, "end": 2271.51, "word": " appropriate", "probability": 0.7890625}, {"start": 2271.51, "end": 2271.95, "word": " test", "probability": 0.84228515625}, {"start": 2271.95, "end": 2272.21, "word": " to", "probability": 0.95654296875}, {"start": 2272.21, "end": 2272.45, "word": " use", "probability": 0.8671875}, {"start": 2272.45, "end": 2272.75, "word": " is.", "probability": 0.92822265625}, {"start": 2273.31, "end": 2273.61, "word": " So", "probability": 0.93212890625}, {"start": 2273.61, "end": 2273.83, "word": " here", "probability": 0.6611328125}, {"start": 2273.83, "end": 2274.05, "word": " we", "probability": 0.734375}, {"start": 2274.05, "end": 2274.25, "word": " are", "probability": 0.9345703125}, {"start": 2274.25, "end": 2274.89, "word": " testing", "probability": 0.87109375}], "temperature": 1.0}, {"id": 87, "seek": 230376, "start": 2276.74, "end": 2303.76, "text": " Pi 1 equals Pi 2, so there are two populations. The answer is A. Z statistic, Z test, Chi squared, both A and B, neither A, neither of A nor B. Exactly, the answer is C because we can use either Z statistic or Chi squared. So Z or Chi.", "tokens": [17741, 502, 6915, 17741, 568, 11, 370, 456, 366, 732, 12822, 13, 440, 1867, 307, 316, 13, 1176, 29588, 11, 1176, 1500, 11, 17730, 8889, 11, 1293, 316, 293, 363, 11, 9662, 316, 11, 9662, 295, 316, 6051, 363, 13, 7587, 11, 264, 1867, 307, 383, 570, 321, 393, 764, 2139, 1176, 29588, 420, 17730, 8889, 13, 407, 1176, 420, 17730, 13], "avg_logprob": -0.29786706538427443, "compression_ratio": 1.5128205128205128, "no_speech_prob": 0.0, "words": [{"start": 2276.74, "end": 2277.0, "word": " Pi", "probability": 0.5556640625}, {"start": 2277.0, "end": 2277.28, "word": " 1", "probability": 0.63720703125}, {"start": 2277.28, "end": 2277.7, "word": " equals", "probability": 0.8193359375}, {"start": 2277.7, "end": 2277.92, "word": " Pi", "probability": 0.41552734375}, {"start": 2277.92, "end": 2278.16, "word": " 2,", "probability": 0.9873046875}, {"start": 2278.3, "end": 2278.44, "word": " so", "probability": 0.89453125}, {"start": 2278.44, "end": 2278.58, "word": " there", "probability": 0.5908203125}, {"start": 2278.58, "end": 2278.76, "word": " are", "probability": 0.93701171875}, {"start": 2278.76, "end": 2279.12, "word": " two", "probability": 0.87451171875}, {"start": 2279.12, "end": 2281.04, "word": " populations.", "probability": 0.20166015625}, {"start": 2282.48, "end": 2282.74, "word": " The", "probability": 0.4208984375}, {"start": 2282.74, "end": 2283.68, "word": " answer", "probability": 0.9658203125}, {"start": 2283.68, "end": 2284.84, "word": " is", "probability": 0.462890625}, {"start": 2284.84, "end": 2285.12, "word": " A.", "probability": 0.77490234375}, {"start": 2285.56, "end": 2285.76, "word": " Z", "probability": 0.465087890625}, {"start": 2285.76, "end": 2286.3, "word": " statistic,", "probability": 0.442626953125}, {"start": 2286.52, "end": 2286.66, "word": " Z", "probability": 0.5283203125}, {"start": 2286.66, "end": 2287.1, "word": " test,", "probability": 0.85400390625}, {"start": 2288.04, "end": 2288.24, "word": " Chi", "probability": 0.716796875}, {"start": 2288.24, "end": 2288.72, "word": " squared,", "probability": 0.51025390625}, {"start": 2289.74, "end": 2290.34, "word": " both", "probability": 0.84326171875}, {"start": 2290.34, "end": 2290.52, "word": " A", "probability": 0.9638671875}, {"start": 2290.52, "end": 2290.7, "word": " and", "probability": 0.94580078125}, {"start": 2290.7, "end": 2290.92, "word": " B,", "probability": 0.9970703125}, {"start": 2291.2, "end": 2291.46, "word": " neither", "probability": 0.9384765625}, {"start": 2291.46, "end": 2291.96, "word": " A,", "probability": 0.59375}, {"start": 2292.28, "end": 2292.62, "word": " neither", "probability": 0.91748046875}, {"start": 2292.62, "end": 2292.84, "word": " of", "probability": 0.9326171875}, {"start": 2292.84, "end": 2293.1, "word": " A", "probability": 0.9794921875}, {"start": 2293.1, "end": 2293.44, "word": " nor", "probability": 0.84130859375}, {"start": 2293.44, "end": 2293.84, "word": " B.", "probability": 0.923828125}, {"start": 2296.32, "end": 2296.86, "word": " Exactly,", "probability": 0.568359375}, {"start": 2297.04, "end": 2297.14, "word": " the", "probability": 0.9169921875}, {"start": 2297.14, "end": 2297.38, "word": " answer", "probability": 0.96240234375}, {"start": 2297.38, "end": 2297.6, "word": " is", "probability": 0.9482421875}, {"start": 2297.6, "end": 2297.74, "word": " C", "probability": 0.96337890625}, {"start": 2297.74, "end": 2298.16, "word": " because", "probability": 0.49365234375}, {"start": 2298.16, "end": 2298.66, "word": " we", "probability": 0.94189453125}, {"start": 2298.66, "end": 2298.94, "word": " can", "probability": 0.9453125}, {"start": 2298.94, "end": 2299.2, "word": " use", "probability": 0.82958984375}, {"start": 2299.2, "end": 2299.54, "word": " either", "probability": 0.94287109375}, {"start": 2299.54, "end": 2299.86, "word": " Z", "probability": 0.89111328125}, {"start": 2299.86, "end": 2300.4, "word": " statistic", "probability": 0.8935546875}, {"start": 2300.4, "end": 2300.82, "word": " or", "probability": 0.94970703125}, {"start": 2300.82, "end": 2301.12, "word": " Chi", "probability": 0.7041015625}, {"start": 2301.12, "end": 2301.48, "word": " squared.", "probability": 0.83837890625}, {"start": 2302.66, "end": 2302.92, "word": " So", "probability": 0.9326171875}, {"start": 2302.92, "end": 2303.16, "word": " Z", "probability": 0.64990234375}, {"start": 2303.16, "end": 2303.48, "word": " or", "probability": 0.9755859375}, {"start": 2303.48, "end": 2303.76, "word": " Chi.", "probability": 0.650390625}], "temperature": 1.0}, {"id": 88, "seek": 233038, "start": 2304.58, "end": 2330.38, "text": " can be used for testing difference between two population proportions. And again, chi-square can be extended to use for more than two. So in this case, the correct answer is C, because we can use either Z or chi-square test. Next, in testing,", "tokens": [393, 312, 1143, 337, 4997, 2649, 1296, 732, 4415, 32482, 13, 400, 797, 11, 13228, 12, 33292, 543, 393, 312, 10913, 281, 764, 337, 544, 813, 732, 13, 407, 294, 341, 1389, 11, 264, 3006, 1867, 307, 383, 11, 570, 321, 393, 764, 2139, 1176, 420, 13228, 12, 33292, 543, 1500, 13, 3087, 11, 294, 4997, 11], "avg_logprob": -0.2237338320962314, "compression_ratio": 1.5093167701863355, "no_speech_prob": 0.0, "words": [{"start": 2304.58, "end": 2304.88, "word": " can", "probability": 0.410888671875}, {"start": 2304.88, "end": 2305.08, "word": " be", "probability": 0.9501953125}, {"start": 2305.08, "end": 2305.54, "word": " used", "probability": 0.92041015625}, {"start": 2305.54, "end": 2306.1, "word": " for", "probability": 0.93505859375}, {"start": 2306.1, "end": 2306.78, "word": " testing", "probability": 0.84521484375}, {"start": 2306.78, "end": 2307.9, "word": " difference", "probability": 0.697265625}, {"start": 2307.9, "end": 2308.3, "word": " between", "probability": 0.876953125}, {"start": 2308.3, "end": 2308.52, "word": " two", "probability": 0.87890625}, {"start": 2308.52, "end": 2308.92, "word": " population", "probability": 0.8330078125}, {"start": 2308.92, "end": 2309.56, "word": " proportions.", "probability": 0.71142578125}, {"start": 2310.96, "end": 2311.1, "word": " And", "probability": 0.91162109375}, {"start": 2311.1, "end": 2311.4, "word": " again,", "probability": 0.923828125}, {"start": 2311.54, "end": 2311.66, "word": " chi", "probability": 0.404052734375}, {"start": 2311.66, "end": 2312.06, "word": "-square", "probability": 0.822265625}, {"start": 2312.06, "end": 2313.68, "word": " can", "probability": 0.9169921875}, {"start": 2313.68, "end": 2313.84, "word": " be", "probability": 0.94287109375}, {"start": 2313.84, "end": 2314.36, "word": " extended", "probability": 0.26025390625}, {"start": 2314.36, "end": 2314.56, "word": " to", "probability": 0.62353515625}, {"start": 2314.56, "end": 2314.92, "word": " use", "probability": 0.85546875}, {"start": 2314.92, "end": 2315.52, "word": " for", "probability": 0.9052734375}, {"start": 2315.52, "end": 2316.74, "word": " more", "probability": 0.62451171875}, {"start": 2316.74, "end": 2316.94, "word": " than", "probability": 0.935546875}, {"start": 2316.94, "end": 2317.18, "word": " two.", "probability": 0.82958984375}, {"start": 2318.32, "end": 2319.08, "word": " So", "probability": 0.89501953125}, {"start": 2319.08, "end": 2319.5, "word": " in", "probability": 0.6455078125}, {"start": 2319.5, "end": 2319.72, "word": " this", "probability": 0.947265625}, {"start": 2319.72, "end": 2319.94, "word": " case,", "probability": 0.91796875}, {"start": 2320.0, "end": 2320.14, "word": " the", "probability": 0.91455078125}, {"start": 2320.14, "end": 2320.5, "word": " correct", "probability": 0.90478515625}, {"start": 2320.5, "end": 2320.98, "word": " answer", "probability": 0.96142578125}, {"start": 2320.98, "end": 2321.24, "word": " is", "probability": 0.9404296875}, {"start": 2321.24, "end": 2321.46, "word": " C,", "probability": 0.76806640625}, {"start": 2321.6, "end": 2321.98, "word": " because", "probability": 0.896484375}, {"start": 2321.98, "end": 2322.16, "word": " we", "probability": 0.9560546875}, {"start": 2322.16, "end": 2322.38, "word": " can", "probability": 0.94482421875}, {"start": 2322.38, "end": 2322.6, "word": " use", "probability": 0.8408203125}, {"start": 2322.6, "end": 2322.84, "word": " either", "probability": 0.93701171875}, {"start": 2322.84, "end": 2323.22, "word": " Z", "probability": 0.77587890625}, {"start": 2323.22, "end": 2324.16, "word": " or", "probability": 0.8427734375}, {"start": 2324.16, "end": 2324.48, "word": " chi", "probability": 0.71728515625}, {"start": 2324.48, "end": 2324.88, "word": "-square", "probability": 0.94287109375}, {"start": 2324.88, "end": 2325.28, "word": " test.", "probability": 0.8115234375}, {"start": 2327.54, "end": 2328.3, "word": " Next,", "probability": 0.92138671875}, {"start": 2329.32, "end": 2329.9, "word": " in", "probability": 0.939453125}, {"start": 2329.9, "end": 2330.38, "word": " testing,", "probability": 0.8798828125}], "temperature": 1.0}, {"id": 89, "seek": 235921, "start": 2331.33, "end": 2359.21, "text": " hypothesis using chi-square test. The theoretical frequencies are based on null hypothesis, alternative, normal distribution, none of the above. Always when we are using chi-square test, we assume the null is true. So the theoretical frequencies are based on the null hypothesis. So always any statistic", "tokens": [17291, 1228, 13228, 12, 33292, 543, 1500, 13, 440, 20864, 20250, 366, 2361, 322, 18184, 17291, 11, 8535, 11, 2710, 7316, 11, 6022, 295, 264, 3673, 13, 11270, 562, 321, 366, 1228, 13228, 12, 33292, 543, 1500, 11, 321, 6552, 264, 18184, 307, 2074, 13, 407, 264, 20864, 20250, 366, 2361, 322, 264, 18184, 17291, 13, 407, 1009, 604, 29588], "avg_logprob": -0.21913421935722477, "compression_ratio": 1.8203592814371257, "no_speech_prob": 0.0, "words": [{"start": 2331.33, "end": 2332.09, "word": " hypothesis", "probability": 0.1282958984375}, {"start": 2332.09, "end": 2332.89, "word": " using", "probability": 0.8798828125}, {"start": 2332.89, "end": 2333.21, "word": " chi", "probability": 0.376220703125}, {"start": 2333.21, "end": 2333.51, "word": "-square", "probability": 0.8642578125}, {"start": 2333.51, "end": 2333.87, "word": " test.", "probability": 0.80029296875}, {"start": 2334.93, "end": 2335.31, "word": " The", "probability": 0.865234375}, {"start": 2335.31, "end": 2335.97, "word": " theoretical", "probability": 0.88916015625}, {"start": 2335.97, "end": 2338.35, "word": " frequencies", "probability": 0.79052734375}, {"start": 2338.35, "end": 2339.05, "word": " are", "probability": 0.9453125}, {"start": 2339.05, "end": 2339.43, "word": " based", "probability": 0.94482421875}, {"start": 2339.43, "end": 2339.89, "word": " on", "probability": 0.94970703125}, {"start": 2339.89, "end": 2341.05, "word": " null", "probability": 0.83837890625}, {"start": 2341.05, "end": 2341.59, "word": " hypothesis,", "probability": 0.61328125}, {"start": 2342.03, "end": 2342.43, "word": " alternative,", "probability": 0.44482421875}, {"start": 2342.91, "end": 2343.19, "word": " normal", "probability": 0.8193359375}, {"start": 2343.19, "end": 2343.71, "word": " distribution,", "probability": 0.8330078125}, {"start": 2343.87, "end": 2343.97, "word": " none", "probability": 0.91650390625}, {"start": 2343.97, "end": 2344.13, "word": " of", "probability": 0.974609375}, {"start": 2344.13, "end": 2344.21, "word": " the", "probability": 0.89697265625}, {"start": 2344.21, "end": 2344.53, "word": " above.", "probability": 0.978515625}, {"start": 2344.89, "end": 2345.49, "word": " Always", "probability": 0.78564453125}, {"start": 2345.49, "end": 2346.29, "word": " when", "probability": 0.61328125}, {"start": 2346.29, "end": 2346.49, "word": " we", "probability": 0.96337890625}, {"start": 2346.49, "end": 2346.67, "word": " are", "probability": 0.9404296875}, {"start": 2346.67, "end": 2346.99, "word": " using", "probability": 0.93505859375}, {"start": 2346.99, "end": 2347.27, "word": " chi", "probability": 0.81201171875}, {"start": 2347.27, "end": 2347.57, "word": "-square", "probability": 0.9471028645833334}, {"start": 2347.57, "end": 2347.93, "word": " test,", "probability": 0.78466796875}, {"start": 2348.03, "end": 2348.17, "word": " we", "probability": 0.9560546875}, {"start": 2348.17, "end": 2348.77, "word": " assume", "probability": 0.908203125}, {"start": 2348.77, "end": 2350.05, "word": " the", "probability": 0.7392578125}, {"start": 2350.05, "end": 2350.27, "word": " null", "probability": 0.91015625}, {"start": 2350.27, "end": 2350.45, "word": " is", "probability": 0.94287109375}, {"start": 2350.45, "end": 2350.85, "word": " true.", "probability": 0.94189453125}, {"start": 2351.47, "end": 2351.99, "word": " So", "probability": 0.95263671875}, {"start": 2351.99, "end": 2352.49, "word": " the", "probability": 0.64794921875}, {"start": 2352.49, "end": 2353.17, "word": " theoretical", "probability": 0.919921875}, {"start": 2353.17, "end": 2353.79, "word": " frequencies", "probability": 0.8388671875}, {"start": 2353.79, "end": 2354.09, "word": " are", "probability": 0.9453125}, {"start": 2354.09, "end": 2354.37, "word": " based", "probability": 0.94140625}, {"start": 2354.37, "end": 2354.63, "word": " on", "probability": 0.95068359375}, {"start": 2354.63, "end": 2354.79, "word": " the", "probability": 0.90087890625}, {"start": 2354.79, "end": 2354.95, "word": " null", "probability": 0.931640625}, {"start": 2354.95, "end": 2355.41, "word": " hypothesis.", "probability": 0.74853515625}, {"start": 2356.97, "end": 2357.29, "word": " So", "probability": 0.94921875}, {"start": 2357.29, "end": 2357.83, "word": " always", "probability": 0.818359375}, {"start": 2357.83, "end": 2358.43, "word": " any", "probability": 0.6845703125}, {"start": 2358.43, "end": 2359.21, "word": " statistic", "probability": 0.8037109375}], "temperature": 1.0}, {"id": 90, "seek": 237704, "start": 2359.76, "end": 2377.04, "text": " can be computed if we assume x0 is correct. So the correct answer is A. Let's look at table 11-2.", "tokens": [393, 312, 40610, 498, 321, 6552, 2031, 15, 307, 3006, 13, 407, 264, 3006, 1867, 307, 316, 13, 961, 311, 574, 412, 3199, 2975, 12, 17, 13], "avg_logprob": -0.20675223373941012, "compression_ratio": 1.0888888888888888, "no_speech_prob": 0.0, "words": [{"start": 2359.76, "end": 2360.06, "word": " can", "probability": 0.2220458984375}, {"start": 2360.06, "end": 2360.24, "word": " be", "probability": 0.9453125}, {"start": 2360.24, "end": 2360.74, "word": " computed", "probability": 0.9208984375}, {"start": 2360.74, "end": 2361.36, "word": " if", "probability": 0.9091796875}, {"start": 2361.36, "end": 2361.68, "word": " we", "probability": 0.9306640625}, {"start": 2361.68, "end": 2362.22, "word": " assume", "probability": 0.90673828125}, {"start": 2362.22, "end": 2363.46, "word": " x0", "probability": 0.5067138671875}, {"start": 2363.46, "end": 2363.78, "word": " is", "probability": 0.92236328125}, {"start": 2363.78, "end": 2364.14, "word": " correct.", "probability": 0.890625}, {"start": 2364.92, "end": 2365.16, "word": " So", "probability": 0.82177734375}, {"start": 2365.16, "end": 2365.3, "word": " the", "probability": 0.744140625}, {"start": 2365.3, "end": 2365.58, "word": " correct", "probability": 0.9072265625}, {"start": 2365.58, "end": 2365.9, "word": " answer", "probability": 0.962890625}, {"start": 2365.9, "end": 2366.12, "word": " is", "probability": 0.95263671875}, {"start": 2366.12, "end": 2366.4, "word": " A.", "probability": 0.70556640625}, {"start": 2374.06, "end": 2374.74, "word": " Let's", "probability": 0.935302734375}, {"start": 2374.74, "end": 2374.96, "word": " look", "probability": 0.96240234375}, {"start": 2374.96, "end": 2375.36, "word": " at", "probability": 0.96484375}, {"start": 2375.36, "end": 2376.12, "word": " table", "probability": 0.5703125}, {"start": 2376.12, "end": 2376.56, "word": " 11", "probability": 0.89306640625}, {"start": 2376.56, "end": 2377.04, "word": "-2.", "probability": 0.925537109375}], "temperature": 1.0}, {"id": 91, "seek": 240388, "start": 2384.28, "end": 2403.88, "text": " Many companies use well-known celebrities as spokespersons in their TV advertisements. A study was conducted to determine whether brand awareness of female TV viewers and the gender of the spokesperson are independent.", "tokens": [5126, 3431, 764, 731, 12, 6861, 23200, 382, 25378, 21819, 892, 294, 641, 3558, 42897, 13, 316, 2979, 390, 13809, 281, 6997, 1968, 3360, 8888, 295, 6556, 3558, 8499, 293, 264, 7898, 295, 264, 45775, 366, 6695, 13], "avg_logprob": -0.15294471612343422, "compression_ratio": 1.4313725490196079, "no_speech_prob": 0.0, "words": [{"start": 2384.2799999999997, "end": 2385.2, "word": " Many", "probability": 0.79052734375}, {"start": 2385.2, "end": 2386.12, "word": " companies", "probability": 0.88916015625}, {"start": 2386.12, "end": 2387.06, "word": " use", "probability": 0.70263671875}, {"start": 2387.06, "end": 2387.38, "word": " well", "probability": 0.9248046875}, {"start": 2387.38, "end": 2387.64, "word": "-known", "probability": 0.872802734375}, {"start": 2387.64, "end": 2388.34, "word": " celebrities", "probability": 0.89599609375}, {"start": 2388.34, "end": 2389.0, "word": " as", "probability": 0.96826171875}, {"start": 2389.0, "end": 2390.68, "word": " spokespersons", "probability": 0.8916015625}, {"start": 2390.68, "end": 2390.9, "word": " in", "probability": 0.88037109375}, {"start": 2390.9, "end": 2391.12, "word": " their", "probability": 0.94775390625}, {"start": 2391.12, "end": 2391.46, "word": " TV", "probability": 0.96435546875}, {"start": 2391.46, "end": 2392.24, "word": " advertisements.", "probability": 0.560546875}, {"start": 2393.76, "end": 2394.06, "word": " A", "probability": 0.40869140625}, {"start": 2394.06, "end": 2394.42, "word": " study", "probability": 0.92822265625}, {"start": 2394.42, "end": 2394.68, "word": " was", "probability": 0.94140625}, {"start": 2394.68, "end": 2395.24, "word": " conducted", "probability": 0.8173828125}, {"start": 2395.24, "end": 2395.58, "word": " to", "probability": 0.953125}, {"start": 2395.58, "end": 2396.1, "word": " determine", "probability": 0.9052734375}, {"start": 2396.1, "end": 2396.56, "word": " whether", "probability": 0.92431640625}, {"start": 2396.56, "end": 2397.16, "word": " brand", "probability": 0.77783203125}, {"start": 2397.16, "end": 2397.76, "word": " awareness", "probability": 0.83935546875}, {"start": 2397.76, "end": 2398.16, "word": " of", "probability": 0.958984375}, {"start": 2398.16, "end": 2398.48, "word": " female", "probability": 0.865234375}, {"start": 2398.48, "end": 2398.86, "word": " TV", "probability": 0.955078125}, {"start": 2398.86, "end": 2400.08, "word": " viewers", "probability": 0.86474609375}, {"start": 2400.08, "end": 2400.96, "word": " and", "probability": 0.87109375}, {"start": 2400.96, "end": 2401.16, "word": " the", "probability": 0.89208984375}, {"start": 2401.16, "end": 2401.5, "word": " gender", "probability": 0.92626953125}, {"start": 2401.5, "end": 2401.92, "word": " of", "probability": 0.97216796875}, {"start": 2401.92, "end": 2402.14, "word": " the", "probability": 0.8564453125}, {"start": 2402.14, "end": 2402.7, "word": " spokesperson", "probability": 0.66650390625}, {"start": 2402.7, "end": 2403.48, "word": " are", "probability": 0.85693359375}, {"start": 2403.48, "end": 2403.88, "word": " independent.", "probability": 0.81103515625}], "temperature": 1.0}, {"id": 92, "seek": 243430, "start": 2404.96, "end": 2434.3, "text": " So there are two variables, whether a brand awareness of female TV and gender of the spokesperson are independent. Each and a sample of 300 female TV viewers was asked to identify a product advertised by a celebrity spokesperson, the gender of the spokesperson, and whether or not the viewer could identify the product was recorded.", "tokens": [407, 456, 366, 732, 9102, 11, 1968, 257, 3360, 8888, 295, 6556, 3558, 293, 7898, 295, 264, 45775, 366, 6695, 13, 6947, 293, 257, 6889, 295, 6641, 6556, 3558, 8499, 390, 2351, 281, 5876, 257, 1674, 42310, 538, 257, 18597, 45775, 11, 264, 7898, 295, 264, 45775, 11, 293, 1968, 420, 406, 264, 16767, 727, 5876, 264, 1674, 390, 8287, 13], "avg_logprob": -0.153981858203488, "compression_ratio": 1.7253886010362693, "no_speech_prob": 0.0, "words": [{"start": 2404.96, "end": 2405.24, "word": " So", "probability": 0.884765625}, {"start": 2405.24, "end": 2405.4, "word": " there", "probability": 0.751953125}, {"start": 2405.4, "end": 2405.56, "word": " are", "probability": 0.94140625}, {"start": 2405.56, "end": 2405.86, "word": " two", "probability": 0.90869140625}, {"start": 2405.86, "end": 2406.46, "word": " variables,", "probability": 0.97021484375}, {"start": 2407.62, "end": 2407.88, "word": " whether", "probability": 0.8505859375}, {"start": 2407.88, "end": 2408.3, "word": " a", "probability": 0.74755859375}, {"start": 2408.3, "end": 2408.6, "word": " brand", "probability": 0.89794921875}, {"start": 2408.6, "end": 2409.02, "word": " awareness", "probability": 0.87451171875}, {"start": 2409.02, "end": 2409.22, "word": " of", "probability": 0.912109375}, {"start": 2409.22, "end": 2409.5, "word": " female", "probability": 0.7978515625}, {"start": 2409.5, "end": 2409.82, "word": " TV", "probability": 0.96923828125}, {"start": 2409.82, "end": 2410.4, "word": " and", "probability": 0.875}, {"start": 2410.4, "end": 2410.78, "word": " gender", "probability": 0.908203125}, {"start": 2410.78, "end": 2412.1, "word": " of", "probability": 0.95703125}, {"start": 2412.1, "end": 2412.32, "word": " the", "probability": 0.88623046875}, {"start": 2412.32, "end": 2412.88, "word": " spokesperson", "probability": 0.90234375}, {"start": 2412.88, "end": 2413.34, "word": " are", "probability": 0.8974609375}, {"start": 2413.34, "end": 2413.74, "word": " independent.", "probability": 0.77587890625}, {"start": 2414.82, "end": 2415.2, "word": " Each", "probability": 0.91845703125}, {"start": 2415.2, "end": 2415.34, "word": " and", "probability": 0.44091796875}, {"start": 2415.34, "end": 2415.5, "word": " a", "probability": 0.517578125}, {"start": 2415.5, "end": 2415.72, "word": " sample", "probability": 0.86083984375}, {"start": 2415.72, "end": 2415.94, "word": " of", "probability": 0.97021484375}, {"start": 2415.94, "end": 2416.44, "word": " 300", "probability": 0.9453125}, {"start": 2416.44, "end": 2417.2, "word": " female", "probability": 0.8583984375}, {"start": 2417.2, "end": 2417.58, "word": " TV", "probability": 0.9755859375}, {"start": 2417.58, "end": 2418.22, "word": " viewers", "probability": 0.87841796875}, {"start": 2418.22, "end": 2419.54, "word": " was", "probability": 0.9052734375}, {"start": 2419.54, "end": 2419.98, "word": " asked", "probability": 0.8212890625}, {"start": 2419.98, "end": 2420.18, "word": " to", "probability": 0.9716796875}, {"start": 2420.18, "end": 2420.82, "word": " identify", "probability": 0.95263671875}, {"start": 2420.82, "end": 2421.9, "word": " a", "probability": 0.986328125}, {"start": 2421.9, "end": 2422.4, "word": " product", "probability": 0.919921875}, {"start": 2422.4, "end": 2423.28, "word": " advertised", "probability": 0.93017578125}, {"start": 2423.28, "end": 2423.68, "word": " by", "probability": 0.97216796875}, {"start": 2423.68, "end": 2424.0, "word": " a", "probability": 0.335693359375}, {"start": 2424.0, "end": 2424.28, "word": " celebrity", "probability": 0.7509765625}, {"start": 2424.28, "end": 2425.24, "word": " spokesperson,", "probability": 0.93310546875}, {"start": 2426.1, "end": 2426.26, "word": " the", "probability": 0.91796875}, {"start": 2426.26, "end": 2426.62, "word": " gender", "probability": 0.91357421875}, {"start": 2426.62, "end": 2426.86, "word": " of", "probability": 0.97021484375}, {"start": 2426.86, "end": 2427.0, "word": " the", "probability": 0.8447265625}, {"start": 2427.0, "end": 2428.36, "word": " spokesperson,", "probability": 0.9443359375}, {"start": 2429.3, "end": 2429.62, "word": " and", "probability": 0.9326171875}, {"start": 2429.62, "end": 2429.92, "word": " whether", "probability": 0.9150390625}, {"start": 2429.92, "end": 2430.18, "word": " or", "probability": 0.96337890625}, {"start": 2430.18, "end": 2430.56, "word": " not", "probability": 0.9462890625}, {"start": 2430.56, "end": 2431.52, "word": " the", "probability": 0.912109375}, {"start": 2431.52, "end": 2431.82, "word": " viewer", "probability": 0.89208984375}, {"start": 2431.82, "end": 2432.28, "word": " could", "probability": 0.884765625}, {"start": 2432.28, "end": 2432.9, "word": " identify", "probability": 0.93994140625}, {"start": 2432.9, "end": 2433.08, "word": " the", "probability": 0.89599609375}, {"start": 2433.08, "end": 2433.48, "word": " product", "probability": 0.91748046875}, {"start": 2433.48, "end": 2433.82, "word": " was", "probability": 0.94091796875}, {"start": 2433.82, "end": 2434.3, "word": " recorded.", "probability": 0.9404296875}], "temperature": 1.0}, {"id": 93, "seek": 246380, "start": 2435.38, "end": 2463.8, "text": " The number in each category are given below. Now, the questions are, number one, he asked about the calculated this statistic is. We have to find Chi-square statistic. It's two by two tables, easy one. So, for example, to find the F expected is, rho total is one over two.", "tokens": [440, 1230, 294, 1184, 7719, 366, 2212, 2507, 13, 823, 11, 264, 1651, 366, 11, 1230, 472, 11, 415, 2351, 466, 264, 15598, 341, 29588, 307, 13, 492, 362, 281, 915, 17730, 12, 33292, 543, 29588, 13, 467, 311, 732, 538, 732, 8020, 11, 1858, 472, 13, 407, 11, 337, 1365, 11, 281, 915, 264, 479, 5176, 307, 11, 20293, 3217, 307, 472, 670, 732, 13], "avg_logprob": -0.303404862311349, "compression_ratio": 1.4444444444444444, "no_speech_prob": 0.0, "words": [{"start": 2435.38, "end": 2435.64, "word": " The", "probability": 0.70068359375}, {"start": 2435.64, "end": 2436.02, "word": " number", "probability": 0.496337890625}, {"start": 2436.02, "end": 2436.46, "word": " in", "probability": 0.888671875}, {"start": 2436.46, "end": 2436.76, "word": " each", "probability": 0.9384765625}, {"start": 2436.76, "end": 2437.26, "word": " category", "probability": 0.9521484375}, {"start": 2437.26, "end": 2437.58, "word": " are", "probability": 0.8115234375}, {"start": 2437.58, "end": 2437.82, "word": " given", "probability": 0.8818359375}, {"start": 2437.82, "end": 2438.16, "word": " below.", "probability": 0.90380859375}, {"start": 2439.3, "end": 2439.54, "word": " Now,", "probability": 0.89404296875}, {"start": 2439.58, "end": 2439.68, "word": " the", "probability": 0.91552734375}, {"start": 2439.68, "end": 2440.08, "word": " questions", "probability": 0.92138671875}, {"start": 2440.08, "end": 2440.42, "word": " are,", "probability": 0.92578125}, {"start": 2441.46, "end": 2441.78, "word": " number", "probability": 0.810546875}, {"start": 2441.78, "end": 2442.1, "word": " one,", "probability": 0.7451171875}, {"start": 2443.44, "end": 2444.24, "word": " he", "probability": 0.7783203125}, {"start": 2444.24, "end": 2444.46, "word": " asked", "probability": 0.4384765625}, {"start": 2444.46, "end": 2444.8, "word": " about", "probability": 0.89599609375}, {"start": 2444.8, "end": 2445.02, "word": " the", "probability": 0.7353515625}, {"start": 2445.02, "end": 2445.52, "word": " calculated", "probability": 0.93212890625}, {"start": 2445.52, "end": 2445.94, "word": " this", "probability": 0.436767578125}, {"start": 2445.94, "end": 2446.46, "word": " statistic", "probability": 0.837890625}, {"start": 2446.46, "end": 2446.8, "word": " is.", "probability": 0.765625}, {"start": 2447.14, "end": 2447.44, "word": " We", "probability": 0.94873046875}, {"start": 2447.44, "end": 2447.64, "word": " have", "probability": 0.9501953125}, {"start": 2447.64, "end": 2447.88, "word": " to", "probability": 0.9697265625}, {"start": 2447.88, "end": 2448.44, "word": " find", "probability": 0.8916015625}, {"start": 2448.44, "end": 2448.72, "word": " Chi", "probability": 0.28515625}, {"start": 2448.72, "end": 2449.12, "word": "-square", "probability": 0.6865234375}, {"start": 2449.12, "end": 2449.64, "word": " statistic.", "probability": 0.78515625}, {"start": 2450.22, "end": 2450.56, "word": " It's", "probability": 0.95751953125}, {"start": 2450.56, "end": 2450.76, "word": " two", "probability": 0.765625}, {"start": 2450.76, "end": 2450.9, "word": " by", "probability": 0.92578125}, {"start": 2450.9, "end": 2451.08, "word": " two", "probability": 0.94140625}, {"start": 2451.08, "end": 2451.5, "word": " tables,", "probability": 0.82666015625}, {"start": 2451.74, "end": 2451.98, "word": " easy", "probability": 0.89599609375}, {"start": 2451.98, "end": 2452.24, "word": " one.", "probability": 0.93310546875}, {"start": 2453.58, "end": 2454.02, "word": " So,", "probability": 0.94091796875}, {"start": 2454.46, "end": 2454.74, "word": " for", "probability": 0.95703125}, {"start": 2454.74, "end": 2455.1, "word": " example,", "probability": 0.97998046875}, {"start": 2455.28, "end": 2455.38, "word": " to", "probability": 0.93359375}, {"start": 2455.38, "end": 2455.82, "word": " find", "probability": 0.89208984375}, {"start": 2455.82, "end": 2456.08, "word": " the", "probability": 0.8583984375}, {"start": 2456.08, "end": 2456.46, "word": " F", "probability": 0.76611328125}, {"start": 2456.46, "end": 2457.04, "word": " expected", "probability": 0.8857421875}, {"start": 2457.04, "end": 2459.46, "word": " is,", "probability": 0.63720703125}, {"start": 2460.42, "end": 2461.46, "word": " rho", "probability": 0.301025390625}, {"start": 2461.46, "end": 2461.78, "word": " total", "probability": 0.82958984375}, {"start": 2461.78, "end": 2462.3, "word": " is", "probability": 0.91650390625}, {"start": 2462.3, "end": 2462.64, "word": " one", "probability": 0.5986328125}, {"start": 2462.64, "end": 2463.5, "word": " over", "probability": 0.6318359375}, {"start": 2463.5, "end": 2463.8, "word": " two.", "probability": 0.92041015625}], "temperature": 1.0}, {"id": 94, "seek": 249101, "start": 2465.91, "end": 2491.01, "text": " And one line here. And this 150. And also 150. So the expected frequency for the first one is 102 times 150 divided by 300.", "tokens": [400, 472, 1622, 510, 13, 400, 341, 8451, 13, 400, 611, 8451, 13, 407, 264, 5176, 7893, 337, 264, 700, 472, 307, 45937, 1413, 8451, 6666, 538, 6641, 13], "avg_logprob": -0.28437501390775044, "compression_ratio": 1.24, "no_speech_prob": 0.0, "words": [{"start": 2465.91, "end": 2466.95, "word": " And", "probability": 0.58544921875}, {"start": 2466.95, "end": 2467.99, "word": " one", "probability": 0.462890625}, {"start": 2467.99, "end": 2470.89, "word": " line", "probability": 0.14453125}, {"start": 2470.89, "end": 2471.17, "word": " here.", "probability": 0.7021484375}, {"start": 2472.73, "end": 2473.13, "word": " And", "probability": 0.85400390625}, {"start": 2473.13, "end": 2473.29, "word": " this", "probability": 0.599609375}, {"start": 2473.29, "end": 2473.81, "word": " 150.", "probability": 0.62744140625}, {"start": 2476.43, "end": 2477.47, "word": " And", "probability": 0.912109375}, {"start": 2477.47, "end": 2478.01, "word": " also", "probability": 0.8544921875}, {"start": 2478.01, "end": 2478.91, "word": " 150.", "probability": 0.84326171875}, {"start": 2479.65, "end": 2480.43, "word": " So", "probability": 0.9345703125}, {"start": 2480.43, "end": 2481.09, "word": " the", "probability": 0.6962890625}, {"start": 2481.09, "end": 2481.55, "word": " expected", "probability": 0.89697265625}, {"start": 2481.55, "end": 2482.07, "word": " frequency", "probability": 0.896484375}, {"start": 2482.07, "end": 2482.35, "word": " for", "probability": 0.92626953125}, {"start": 2482.35, "end": 2482.51, "word": " the", "probability": 0.9189453125}, {"start": 2482.51, "end": 2482.75, "word": " first", "probability": 0.88916015625}, {"start": 2482.75, "end": 2482.97, "word": " one", "probability": 0.919921875}, {"start": 2482.97, "end": 2483.11, "word": " is", "probability": 0.93994140625}, {"start": 2483.11, "end": 2483.41, "word": " 102", "probability": 0.921875}, {"start": 2483.41, "end": 2485.45, "word": " times", "probability": 0.693359375}, {"start": 2485.45, "end": 2486.23, "word": " 150", "probability": 0.904296875}, {"start": 2486.23, "end": 2488.05, "word": " divided", "probability": 0.65087890625}, {"start": 2488.05, "end": 2488.53, "word": " by", "probability": 0.97607421875}, {"start": 2488.53, "end": 2491.01, "word": " 300.", "probability": 0.96630859375}], "temperature": 1.0}, {"id": 95, "seek": 252102, "start": 2495.68, "end": 2521.02, "text": " So the answer is 51. So the first expected is 51. The other one is just 102 minus 51 is also 51. Now here is 99.", "tokens": [407, 264, 1867, 307, 18485, 13, 407, 264, 700, 5176, 307, 18485, 13, 440, 661, 472, 307, 445, 45937, 3175, 18485, 307, 611, 18485, 13, 823, 510, 307, 11803, 13], "avg_logprob": -0.13104839190360038, "compression_ratio": 1.2282608695652173, "no_speech_prob": 0.0, "words": [{"start": 2495.68, "end": 2495.88, "word": " So", "probability": 0.58349609375}, {"start": 2495.88, "end": 2496.0, "word": " the", "probability": 0.734375}, {"start": 2496.0, "end": 2496.24, "word": " answer", "probability": 0.87646484375}, {"start": 2496.24, "end": 2496.7, "word": " is", "probability": 0.95458984375}, {"start": 2496.7, "end": 2499.64, "word": " 51.", "probability": 0.884765625}, {"start": 2502.88, "end": 2503.54, "word": " So", "probability": 0.87548828125}, {"start": 2503.54, "end": 2503.74, "word": " the", "probability": 0.83740234375}, {"start": 2503.74, "end": 2504.14, "word": " first", "probability": 0.865234375}, {"start": 2504.14, "end": 2505.0, "word": " expected", "probability": 0.8681640625}, {"start": 2505.0, "end": 2506.8, "word": " is", "probability": 0.82958984375}, {"start": 2506.8, "end": 2507.24, "word": " 51.", "probability": 0.9736328125}, {"start": 2509.58, "end": 2510.34, "word": " The", "probability": 0.87841796875}, {"start": 2510.34, "end": 2510.58, "word": " other", "probability": 0.890625}, {"start": 2510.58, "end": 2510.82, "word": " one", "probability": 0.91943359375}, {"start": 2510.82, "end": 2511.04, "word": " is", "probability": 0.93505859375}, {"start": 2511.04, "end": 2511.56, "word": " just", "probability": 0.8876953125}, {"start": 2511.56, "end": 2511.96, "word": " 102", "probability": 0.91796875}, {"start": 2511.96, "end": 2512.58, "word": " minus", "probability": 0.9453125}, {"start": 2512.58, "end": 2513.1, "word": " 51", "probability": 0.98095703125}, {"start": 2513.1, "end": 2513.36, "word": " is", "probability": 0.8994140625}, {"start": 2513.36, "end": 2513.78, "word": " also", "probability": 0.88671875}, {"start": 2513.78, "end": 2514.36, "word": " 51.", "probability": 0.9814453125}, {"start": 2517.32, "end": 2518.3, "word": " Now", "probability": 0.947265625}, {"start": 2518.3, "end": 2518.72, "word": " here", "probability": 0.63623046875}, {"start": 2518.72, "end": 2519.08, "word": " is", "probability": 0.9345703125}, {"start": 2519.08, "end": 2521.02, "word": " 99.", "probability": 0.8994140625}], "temperature": 1.0}, {"id": 96, "seek": 255288, "start": 2529.08, "end": 2552.88, "text": " So the second one are the expected frequencies. So my chi-square statistic is 41 minus 51 squared divided by 51 plus 61 minus 51 squared.", "tokens": [407, 264, 1150, 472, 366, 264, 5176, 20250, 13, 407, 452, 13228, 12, 33292, 543, 29588, 307, 18173, 3175, 18485, 8889, 6666, 538, 18485, 1804, 28294, 3175, 18485, 8889, 13], "avg_logprob": -0.2741935464643663, "compression_ratio": 1.3269230769230769, "no_speech_prob": 0.0, "words": [{"start": 2529.08, "end": 2530.16, "word": " So", "probability": 0.1375732421875}, {"start": 2530.16, "end": 2531.24, "word": " the", "probability": 0.286376953125}, {"start": 2531.24, "end": 2535.18, "word": " second", "probability": 0.8798828125}, {"start": 2535.18, "end": 2535.6, "word": " one", "probability": 0.8583984375}, {"start": 2535.6, "end": 2535.9, "word": " are", "probability": 0.78857421875}, {"start": 2535.9, "end": 2536.14, "word": " the", "probability": 0.8955078125}, {"start": 2536.14, "end": 2536.86, "word": " expected", "probability": 0.8896484375}, {"start": 2536.86, "end": 2537.38, "word": " frequencies.", "probability": 0.71142578125}, {"start": 2537.94, "end": 2538.1, "word": " So", "probability": 0.91357421875}, {"start": 2538.1, "end": 2538.34, "word": " my", "probability": 0.828125}, {"start": 2538.34, "end": 2538.52, "word": " chi", "probability": 0.6708984375}, {"start": 2538.52, "end": 2538.8, "word": "-square", "probability": 0.755859375}, {"start": 2538.8, "end": 2539.38, "word": " statistic", "probability": 0.62158203125}, {"start": 2539.38, "end": 2542.4, "word": " is", "probability": 0.87939453125}, {"start": 2542.4, "end": 2542.98, "word": " 41", "probability": 0.94287109375}, {"start": 2542.98, "end": 2544.62, "word": " minus", "probability": 0.9111328125}, {"start": 2544.62, "end": 2545.0, "word": " 51", "probability": 0.9775390625}, {"start": 2545.0, "end": 2545.52, "word": " squared", "probability": 0.857421875}, {"start": 2545.52, "end": 2547.48, "word": " divided", "probability": 0.52294921875}, {"start": 2547.48, "end": 2547.8, "word": " by", "probability": 0.97119140625}, {"start": 2547.8, "end": 2548.44, "word": " 51", "probability": 0.9814453125}, {"start": 2548.44, "end": 2549.46, "word": " plus", "probability": 0.85107421875}, {"start": 2549.46, "end": 2551.4, "word": " 61", "probability": 0.93798828125}, {"start": 2551.4, "end": 2551.82, "word": " minus", "probability": 0.986328125}, {"start": 2551.82, "end": 2552.26, "word": " 51", "probability": 0.98193359375}, {"start": 2552.26, "end": 2552.88, "word": " squared.", "probability": 0.8427734375}], "temperature": 1.0}, {"id": 97, "seek": 258176, "start": 2554.72, "end": 2581.76, "text": " 561 plus 109 minus 99 squared 99 plus 89 minus 99 squared. That will give 5 point. So the answer is 5.9418.", "tokens": [19687, 16, 1804, 1266, 24, 3175, 11803, 8889, 11803, 1804, 31877, 3175, 11803, 8889, 13, 663, 486, 976, 1025, 935, 13, 407, 264, 1867, 307, 1025, 13, 24, 19, 6494, 13], "avg_logprob": -0.2536621056497097, "compression_ratio": 1.2134831460674158, "no_speech_prob": 0.0, "words": [{"start": 2554.72, "end": 2555.5, "word": " 561", "probability": 0.6900634765625}, {"start": 2555.5, "end": 2556.0, "word": " plus", "probability": 0.73974609375}, {"start": 2556.0, "end": 2558.34, "word": " 109", "probability": 0.77978515625}, {"start": 2558.34, "end": 2558.74, "word": " minus", "probability": 0.96923828125}, {"start": 2558.74, "end": 2559.2, "word": " 99", "probability": 0.9462890625}, {"start": 2559.2, "end": 2560.86, "word": " squared", "probability": 0.810546875}, {"start": 2560.86, "end": 2561.48, "word": " 99", "probability": 0.6982421875}, {"start": 2561.48, "end": 2563.12, "word": " plus", "probability": 0.900390625}, {"start": 2563.12, "end": 2564.16, "word": " 89", "probability": 0.970703125}, {"start": 2564.16, "end": 2564.7, "word": " minus", "probability": 0.6640625}, {"start": 2564.7, "end": 2565.12, "word": " 99", "probability": 0.98974609375}, {"start": 2565.12, "end": 2567.04, "word": " squared.", "probability": 0.87939453125}, {"start": 2569.08, "end": 2570.24, "word": " That", "probability": 0.88427734375}, {"start": 2570.24, "end": 2570.44, "word": " will", "probability": 0.84619140625}, {"start": 2570.44, "end": 2570.84, "word": " give", "probability": 0.88720703125}, {"start": 2570.84, "end": 2572.72, "word": " 5", "probability": 0.83740234375}, {"start": 2572.72, "end": 2573.14, "word": " point.", "probability": 0.451904296875}, {"start": 2577.26, "end": 2578.42, "word": " So", "probability": 0.84716796875}, {"start": 2578.42, "end": 2578.58, "word": " the", "probability": 0.76220703125}, {"start": 2578.58, "end": 2578.86, "word": " answer", "probability": 0.95751953125}, {"start": 2578.86, "end": 2579.1, "word": " is", "probability": 0.9501953125}, {"start": 2579.1, "end": 2579.46, "word": " 5", "probability": 0.96484375}, {"start": 2579.46, "end": 2581.76, "word": ".9418.", "probability": 0.76666259765625}], "temperature": 1.0}, {"id": 98, "seek": 261161, "start": 2583.41, "end": 2611.61, "text": " So simple calculation will give this result. Now, next one, referring to the same information we have at 5% level of significance, the critical value of that statistic. In this case, we are talking about 2 by 2 table, and alpha is 5. So your critical value is 3 point. So chi squared alpha, 5% and 1 degrees of freedom.", "tokens": [407, 2199, 17108, 486, 976, 341, 1874, 13, 823, 11, 958, 472, 11, 13761, 281, 264, 912, 1589, 321, 362, 412, 1025, 4, 1496, 295, 17687, 11, 264, 4924, 2158, 295, 300, 29588, 13, 682, 341, 1389, 11, 321, 366, 1417, 466, 568, 538, 568, 3199, 11, 293, 8961, 307, 1025, 13, 407, 428, 4924, 2158, 307, 805, 935, 13, 407, 13228, 8889, 8961, 11, 1025, 4, 293, 502, 5310, 295, 5645, 13], "avg_logprob": -0.21568834499732867, "compression_ratio": 1.509433962264151, "no_speech_prob": 0.0, "words": [{"start": 2583.41, "end": 2583.65, "word": " So", "probability": 0.8779296875}, {"start": 2583.65, "end": 2583.93, "word": " simple", "probability": 0.77587890625}, {"start": 2583.93, "end": 2584.49, "word": " calculation", "probability": 0.8779296875}, {"start": 2584.49, "end": 2584.73, "word": " will", "probability": 0.875}, {"start": 2584.73, "end": 2584.93, "word": " give", "probability": 0.8837890625}, {"start": 2584.93, "end": 2585.13, 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Again, degrees of freedom of this statistic are 1, 2 by 2 is 1. Now at 5% level of significance, the conclusion is that", "tokens": [639, 307, 264, 16998, 2158, 562, 8961, 307, 1025, 8923, 370, 805, 13, 25494, 5211, 13, 3764, 11, 5310, 295, 5645, 295, 341, 29588, 366, 502, 11, 568, 538, 568, 307, 502, 13, 823, 412, 1025, 4, 1496, 295, 17687, 11, 264, 10063, 307, 300], "avg_logprob": -0.21705162751933801, "compression_ratio": 1.2571428571428571, "no_speech_prob": 0.0, "words": [{"start": 2615.0, "end": 2615.22, "word": " This", "probability": 0.6904296875}, {"start": 2615.22, "end": 2615.34, "word": " is", "probability": 0.9521484375}, {"start": 2615.34, "end": 2615.5, "word": " the", "probability": 0.91162109375}, {"start": 2615.5, "end": 2615.88, "word": " smallest", "probability": 0.9345703125}, {"start": 2615.88, "end": 2616.34, "word": " value", "probability": 0.97607421875}, {"start": 2616.34, "end": 2616.74, "word": " when", "probability": 0.89306640625}, {"start": 2616.74, "end": 2617.0, "word": " alpha", "probability": 0.6845703125}, {"start": 2617.0, "end": 2617.24, "word": " is", "probability": 0.955078125}, {"start": 2617.24, "end": 2617.92, "word": " 5%,", "probability": 0.4862060546875}, {"start": 2617.92, "end": 2618.9, "word": " so", "probability": 0.89501953125}, {"start": 2618.9, "end": 2619.22, "word": " 3", "probability": 0.93896484375}, {"start": 2619.22, "end": 2621.44, "word": ".8415.", "probability": 0.9324544270833334}, {"start": 2626.16, "end": 2626.88, "word": " Again,", "probability": 0.91064453125}, {"start": 2627.38, "end": 2627.64, "word": " degrees", "probability": 0.923828125}, {"start": 2627.64, "end": 2627.84, "word": " of", "probability": 0.96875}, {"start": 2627.84, "end": 2628.14, "word": " freedom", "probability": 0.9404296875}, {"start": 2628.14, "end": 2628.84, "word": " of", "probability": 0.95947265625}, {"start": 2628.84, "end": 2629.14, "word": " this", "probability": 0.4375}, {"start": 2629.14, "end": 2629.96, "word": " statistic", "probability": 0.8056640625}, {"start": 2629.96, "end": 2630.48, "word": " are", "probability": 0.92236328125}, {"start": 2630.48, "end": 2631.76, "word": " 1,", "probability": 0.6640625}, {"start": 2632.5, "end": 2632.84, "word": " 2", "probability": 0.9287109375}, {"start": 2632.84, "end": 2632.98, "word": " by", "probability": 0.76416015625}, {"start": 2632.98, "end": 2633.14, "word": " 2", "probability": 0.873046875}, {"start": 2633.14, "end": 2633.24, "word": " is", "probability": 0.456298828125}, {"start": 2633.24, "end": 2633.8, "word": " 1.", "probability": 0.69091796875}, {"start": 2636.38, "end": 2637.1, "word": " Now", "probability": 0.95263671875}, {"start": 2637.1, "end": 2637.42, "word": " at", "probability": 0.56884765625}, {"start": 2637.42, "end": 2637.74, "word": " 5", "probability": 0.93408203125}, {"start": 2637.74, "end": 2638.1, "word": "%", "probability": 0.94287109375}, {"start": 2638.1, "end": 2638.4, "word": " level", "probability": 0.92333984375}, {"start": 2638.4, "end": 2638.56, "word": " of", "probability": 0.9638671875}, {"start": 2638.56, "end": 2639.04, "word": " significance,", "probability": 0.96728515625}, {"start": 2640.48, "end": 2640.74, "word": " the", "probability": 0.90283203125}, {"start": 2640.74, "end": 2641.3, "word": " conclusion", "probability": 0.888671875}, {"start": 2641.3, "end": 2641.62, "word": " is", "probability": 0.943359375}, {"start": 2641.62, "end": 2641.98, "word": " that", "probability": 0.9345703125}], "temperature": 1.0}, {"id": 100, "seek": 266586, "start": 2646.84, "end": 2665.86, "text": " In this case, we reject H0. And H0 says the two variables are independent. X and Y are independent. We reject that they are independent.", "tokens": [682, 341, 1389, 11, 321, 8248, 389, 15, 13, 400, 389, 15, 1619, 264, 732, 9102, 366, 6695, 13, 1783, 293, 398, 366, 6695, 13, 492, 8248, 300, 436, 366, 6695, 13], "avg_logprob": -0.2011126893939394, "compression_ratio": 1.4421052631578948, "no_speech_prob": 0.0, "words": [{"start": 2646.8399999999997, "end": 2647.68, "word": " In", "probability": 0.27734375}, {"start": 2647.68, "end": 2648.52, "word": " this", "probability": 0.9072265625}, {"start": 2648.52, "end": 2648.84, "word": " case,", "probability": 0.9189453125}, {"start": 2649.0, "end": 2649.14, "word": " we", "probability": 0.9453125}, {"start": 2649.14, "end": 2651.9, "word": " reject", "probability": 0.8154296875}, {"start": 2651.9, "end": 2653.32, "word": " H0.", "probability": 0.794921875}, {"start": 2654.16, "end": 2654.42, "word": " And", "probability": 0.875}, {"start": 2654.42, "end": 2655.3, "word": " H0", "probability": 0.971435546875}, {"start": 2655.3, "end": 2655.78, "word": " says", "probability": 0.888671875}, {"start": 2655.78, "end": 2656.2, "word": " the", "probability": 0.689453125}, {"start": 2656.2, "end": 2656.38, "word": " two", "probability": 0.9248046875}, {"start": 2656.38, "end": 2656.84, "word": " variables", "probability": 0.95361328125}, {"start": 2656.84, "end": 2657.1, "word": " are", "probability": 0.9423828125}, {"start": 2657.1, "end": 2657.5, "word": " independent.", "probability": 0.89404296875}, {"start": 2658.56, "end": 2658.86, "word": " X", "probability": 0.9306640625}, {"start": 2658.86, "end": 2659.06, "word": " and", "probability": 0.9462890625}, {"start": 2659.06, "end": 2659.48, "word": " Y", "probability": 0.9443359375}, {"start": 2659.48, "end": 2660.8, "word": " are", "probability": 0.70654296875}, {"start": 2660.8, "end": 2660.8, "word": " independent.", "probability": 0.53759765625}, {"start": 2661.92, "end": 2662.0, "word": " We", "probability": 0.91845703125}, {"start": 2662.0, "end": 2662.4, "word": " reject", "probability": 0.9189453125}, {"start": 2662.4, "end": 2664.8, "word": " that", "probability": 0.67431640625}, {"start": 2664.8, "end": 2665.18, "word": " they", "probability": 0.8544921875}, {"start": 2665.18, "end": 2665.4, "word": " are", "probability": 0.93798828125}, {"start": 2665.4, "end": 2665.86, "word": " independent.", "probability": 0.90771484375}], "temperature": 1.0}, {"id": 101, "seek": 269438, "start": 2667.38, "end": 2694.38, "text": " That means they are dependent or related. So, A, brand awareness of female TV viewers and the gender of the spokesperson are independent. No, because we reject the null hypothesis. B, brand awareness of female TV viewers and the gender of spokesperson are not independent. Since we reject, then they are not.", "tokens": [663, 1355, 436, 366, 12334, 420, 4077, 13, 407, 11, 316, 11, 3360, 8888, 295, 6556, 3558, 8499, 293, 264, 7898, 295, 264, 45775, 366, 6695, 13, 883, 11, 570, 321, 8248, 264, 18184, 17291, 13, 363, 11, 3360, 8888, 295, 6556, 3558, 8499, 293, 264, 7898, 295, 45775, 366, 406, 6695, 13, 4162, 321, 8248, 11, 550, 436, 366, 406, 13], "avg_logprob": -0.19642857473994058, "compression_ratio": 1.9074074074074074, "no_speech_prob": 0.0, "words": [{"start": 2667.38, "end": 2667.8, "word": " That", "probability": 0.483154296875}, {"start": 2667.8, "end": 2668.1, "word": " means", "probability": 0.92236328125}, {"start": 2668.1, "end": 2668.3, "word": " they", "probability": 0.875}, {"start": 2668.3, "end": 2668.62, "word": " are", "probability": 0.92578125}, {"start": 2668.62, "end": 2669.82, "word": " dependent", "probability": 0.447265625}, {"start": 2669.82, "end": 2670.36, "word": " or", "probability": 0.91748046875}, {"start": 2670.36, "end": 2670.98, "word": " related.", "probability": 0.96728515625}, {"start": 2671.8, "end": 2672.0, "word": " So,", "probability": 0.84619140625}, {"start": 2672.94, "end": 2673.2, "word": " A,", "probability": 0.69384765625}, {"start": 2673.52, "end": 2674.04, "word": " brand", "probability": 0.76416015625}, {"start": 2674.04, "end": 2674.5, "word": " awareness", "probability": 0.85205078125}, {"start": 2674.5, "end": 2674.76, "word": " of", "probability": 0.9501953125}, {"start": 2674.76, "end": 2675.08, "word": " female", "probability": 0.8408203125}, {"start": 2675.08, "end": 2675.38, "word": " TV", "probability": 0.94384765625}, {"start": 2675.38, "end": 2676.0, "word": " viewers", "probability": 0.86865234375}, {"start": 2676.0, "end": 2676.48, "word": " and", "probability": 0.86181640625}, {"start": 2676.48, "end": 2676.68, "word": " the", "probability": 0.8544921875}, {"start": 2676.68, "end": 2677.0, "word": " gender", "probability": 0.896484375}, {"start": 2677.0, "end": 2677.24, "word": " of", "probability": 0.9677734375}, {"start": 2677.24, "end": 2677.42, "word": " the", "probability": 0.8916015625}, {"start": 2677.42, "end": 2678.04, "word": " spokesperson", "probability": 0.88427734375}, {"start": 2678.04, "end": 2679.22, "word": " are", "probability": 0.89013671875}, {"start": 2679.22, "end": 2679.68, "word": " independent.", "probability": 0.86767578125}, {"start": 2680.74, "end": 2681.38, "word": " No,", "probability": 0.921875}, {"start": 2681.58, "end": 2681.94, "word": " because", "probability": 0.900390625}, {"start": 2681.94, "end": 2682.2, "word": " we", "probability": 0.87841796875}, {"start": 2682.2, "end": 2682.98, "word": " reject", "probability": 0.85107421875}, {"start": 2682.98, "end": 2683.16, "word": " the", "probability": 0.313232421875}, {"start": 2683.16, "end": 2683.28, "word": " null", "probability": 0.95458984375}, {"start": 2683.28, "end": 2683.74, "word": " hypothesis.", "probability": 0.82861328125}, {"start": 2684.62, "end": 2684.78, "word": " B,", "probability": 0.9853515625}, {"start": 2684.88, "end": 2685.2, "word": " brand", "probability": 0.80126953125}, {"start": 2685.2, "end": 2685.76, "word": " awareness", "probability": 0.833984375}, {"start": 2685.76, "end": 2686.0, "word": " of", "probability": 0.94140625}, {"start": 2686.0, "end": 2686.44, "word": " female", "probability": 0.8720703125}, {"start": 2686.44, "end": 2686.92, "word": " TV", "probability": 0.9775390625}, {"start": 2686.92, "end": 2687.48, "word": " viewers", "probability": 0.859375}, {"start": 2687.48, "end": 2687.72, "word": " and", "probability": 0.9306640625}, {"start": 2687.72, "end": 2687.86, "word": " the", "probability": 0.89013671875}, {"start": 2687.86, "end": 2688.12, "word": " gender", "probability": 0.8876953125}, {"start": 2688.12, "end": 2688.34, "word": " of", "probability": 0.92138671875}, {"start": 2688.34, "end": 2689.0, "word": " spokesperson", "probability": 0.6181640625}, {"start": 2689.0, "end": 2689.9, "word": " are", "probability": 0.92431640625}, {"start": 2689.9, "end": 2690.2, "word": " not", "probability": 0.94482421875}, {"start": 2690.2, "end": 2690.74, "word": " independent.", "probability": 0.88037109375}, {"start": 2691.74, "end": 2692.36, "word": " Since", "probability": 0.798828125}, {"start": 2692.36, "end": 2692.58, "word": " we", "probability": 0.94384765625}, {"start": 2692.58, "end": 2693.14, "word": " reject,", "probability": 0.86376953125}, {"start": 2693.38, "end": 2693.62, "word": " then", "probability": 0.8271484375}, {"start": 2693.62, "end": 2693.8, "word": " they", "probability": 0.8779296875}, {"start": 2693.8, "end": 2694.0, "word": " are", "probability": 0.93896484375}, {"start": 2694.0, "end": 2694.38, "word": " not.", "probability": 0.94384765625}], "temperature": 1.0}, {"id": 102, "seek": 271595, "start": 2695.93, "end": 2715.95, "text": " Because it's a complement. So, B is the correct answer. Now, C. A brand awareness of female TV viewers and the gender of the spokesperson are related. The same meaning. They are either, you say, not independent, related or dependent.", "tokens": [1436, 309, 311, 257, 17103, 13, 407, 11, 363, 307, 264, 3006, 1867, 13, 823, 11, 383, 13, 316, 3360, 8888, 295, 6556, 3558, 8499, 293, 264, 7898, 295, 264, 45775, 366, 4077, 13, 440, 912, 3620, 13, 814, 366, 2139, 11, 291, 584, 11, 406, 6695, 11, 4077, 420, 12334, 13], "avg_logprob": -0.31338444520842357, "compression_ratio": 1.4444444444444444, "no_speech_prob": 0.0, "words": [{"start": 2695.93, "end": 2696.21, "word": " Because", "probability": 0.346435546875}, {"start": 2696.21, "end": 2696.37, "word": " it's", "probability": 0.5787353515625}, {"start": 2696.37, "end": 2696.47, "word": " a", "probability": 0.78466796875}, {"start": 2696.47, "end": 2696.75, "word": " complement.", "probability": 0.490234375}, {"start": 2698.03, "end": 2698.33, "word": " So,", "probability": 0.92529296875}, {"start": 2698.43, "end": 2698.51, "word": " B", "probability": 0.422607421875}, {"start": 2698.51, "end": 2698.71, "word": " is", "probability": 0.9248046875}, {"start": 2698.71, "end": 2698.77, "word": " the", "probability": 0.50048828125}, {"start": 2698.77, "end": 2699.07, "word": " correct", "probability": 0.8955078125}, {"start": 2699.07, "end": 2699.55, "word": " answer.", "probability": 0.9580078125}, {"start": 2701.15, "end": 2701.31, "word": " Now,", "probability": 0.7685546875}, {"start": 2701.41, "end": 2701.67, "word": " C.", "probability": 0.9560546875}, {"start": 2701.83, "end": 2702.07, "word": " A", "probability": 0.373046875}, {"start": 2702.07, "end": 2702.33, "word": " brand", "probability": 0.884765625}, {"start": 2702.33, "end": 2702.81, "word": " awareness", "probability": 0.8486328125}, {"start": 2702.81, "end": 2703.05, "word": " of", "probability": 0.92822265625}, {"start": 2703.05, "end": 2703.37, "word": " female", "probability": 0.84228515625}, {"start": 2703.37, "end": 2703.67, "word": " TV", "probability": 0.91552734375}, {"start": 2703.67, "end": 2704.21, "word": " viewers", "probability": 0.86279296875}, {"start": 2704.21, "end": 2704.51, "word": " and", "probability": 0.7822265625}, {"start": 2704.51, "end": 2704.69, "word": " the", "probability": 0.86767578125}, {"start": 2704.69, "end": 2704.95, "word": " gender", "probability": 0.912109375}, {"start": 2704.95, "end": 2705.19, "word": " of", "probability": 0.97021484375}, {"start": 2705.19, "end": 2705.45, "word": " the", "probability": 0.7919921875}, {"start": 2705.45, "end": 2705.97, "word": " spokesperson", "probability": 0.91650390625}, {"start": 2705.97, "end": 2707.35, "word": " are", "probability": 0.65283203125}, {"start": 2707.35, "end": 2707.89, "word": " related.", "probability": 0.95703125}, {"start": 2708.49, "end": 2708.63, "word": " The", "probability": 0.6953125}, {"start": 2708.63, "end": 2708.91, "word": " same", "probability": 0.8955078125}, {"start": 2708.91, "end": 2709.21, "word": " meaning.", "probability": 0.9375}, {"start": 2710.35, "end": 2710.55, "word": " They", "probability": 0.81201171875}, {"start": 2710.55, "end": 2710.79, "word": " are", "probability": 0.935546875}, {"start": 2710.79, "end": 2711.15, "word": " either,", "probability": 0.93603515625}, {"start": 2711.15, "end": 2711.39, "word": " you", "probability": 0.9296875}, {"start": 2711.39, "end": 2711.65, "word": " say,", "probability": 0.638671875}, {"start": 2711.93, "end": 2712.53, "word": " not", "probability": 0.439208984375}, {"start": 2712.53, "end": 2713.43, "word": " independent,", "probability": 0.70361328125}, {"start": 2713.99, "end": 2714.65, "word": " related", "probability": 0.95947265625}, {"start": 2714.65, "end": 2715.47, "word": " or", "probability": 0.595703125}, {"start": 2715.47, "end": 2715.95, "word": " dependent.", "probability": 0.923828125}], "temperature": 1.0}, {"id": 103, "seek": 274775, "start": 2719.49, "end": 2747.75, "text": " Either is the same, so C is correct. D both B and C, so D is the correct answer. So again, if we reject the null hypothesis, it means the two variables either not independent or related or dependent. Any question? I will stop at this point. Next time, inshallah, we'll start.", "tokens": [13746, 307, 264, 912, 11, 370, 383, 307, 3006, 13, 413, 1293, 363, 293, 383, 11, 370, 413, 307, 264, 3006, 1867, 13, 407, 797, 11, 498, 321, 8248, 264, 18184, 17291, 11, 309, 1355, 264, 732, 9102, 2139, 406, 6695, 420, 4077, 420, 12334, 13, 2639, 1168, 30, 286, 486, 1590, 412, 341, 935, 13, 3087, 565, 11, 1028, 71, 13492, 11, 321, 603, 722, 13], "avg_logprob": -0.17244944502325618, "compression_ratio": 1.4759358288770053, "no_speech_prob": 3.6954879760742188e-06, "words": [{"start": 2719.49, "end": 2719.85, "word": " Either", "probability": 0.70361328125}, {"start": 2719.85, "end": 2720.27, "word": " is", "probability": 0.92333984375}, {"start": 2720.27, "end": 2720.47, "word": " the", "probability": 0.9228515625}, {"start": 2720.47, "end": 2720.79, "word": " same,", "probability": 0.91015625}, {"start": 2721.61, "end": 2721.81, "word": " so", "probability": 0.94287109375}, {"start": 2721.81, "end": 2721.97, "word": " C", "probability": 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diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/S5DZZsmjnq4_raw.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/S5DZZsmjnq4_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..409ec1c09e50907c3fb8bc3aed26ac9a7c74f630 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/S5DZZsmjnq4_raw.srt @@ -0,0 +1,1468 @@ +1 +00:00:09,320 --> 00:00:15,210 +The second material exam. Question number one. a + +2 +00:00:15,210 --> 00:00:20,170 +corporation randomly selected or selects 150 + +3 +00:00:20,170 --> 00:00:25,430 +salespeople and finds that 66% who have never + +4 +00:00:25,430 --> 00:00:29,930 +taken self-improvement course would like such a + +5 +00:00:29,930 --> 00:00:35,350 +course. So in this case, currently, they select + +6 +00:00:35,350 --> 00:00:52,170 +150 salespeople and find that 66% would + +7 +00:00:52,170 --> 00:00:59,130 +like or who have never taken this course. The firm + +8 +00:00:59,130 --> 00:01:05,110 +did a similar study 10 years ago in which 60% of a + +9 +00:01:05,110 --> 00:01:10,290 +random sample of 160 salespeople wanted a self + +10 +00:01:10,290 --> 00:01:11,830 +-improvement course. + +11 +00:01:15,620 --> 00:01:21,520 +They select a random sample of 160 and tell that + +12 +00:01:21,520 --> 00:01:30,260 +60% would like to take this course. So we have + +13 +00:01:30,260 --> 00:01:34,120 +here two information about previous study and + +14 +00:01:34,120 --> 00:01:37,440 +currently. So currently we have this information. + +15 +00:01:39,660 --> 00:01:44,860 +The sample size was 150, with a proportion 66% for + +16 +00:01:44,860 --> 00:01:47,920 +the people who would like to attend or take this + +17 +00:01:47,920 --> 00:01:51,280 +course. Mid-Paiwan and Pai Tu represent the true + +18 +00:01:51,280 --> 00:01:55,260 +proportion, it means the population proportion, of + +19 +00:01:55,260 --> 00:01:57,800 +workers who would like to attend a self + +20 +00:01:57,800 --> 00:02:01,140 +-improvement course in the recent study and the + +21 +00:02:01,140 --> 00:02:05,400 +past studies in Taiwan. So recent, Paiwan. + +22 +00:02:07,740 --> 00:02:12,100 +And Pi 2 is the previous study. This weather, this + +23 +00:02:12,100 --> 00:02:17,100 +proportion has changed from the previous study by + +24 +00:02:17,100 --> 00:02:21,580 +using two approaches. Critical value approach and + +25 +00:02:21,580 --> 00:02:26,920 +B value approach. So here we are talking about Pi + +26 +00:02:26,920 --> 00:02:32,650 +1 equals Pi 2. Since the problem says that The + +27 +00:02:32,650 --> 00:02:35,870 +proportion has changed. You don't know the exact + +28 +00:02:35,870 --> 00:02:39,610 +direction, either greater than or smaller than. So + +29 +00:02:39,610 --> 00:02:45,810 +this one should be Y1 does not equal Y2. So step + +30 +00:02:45,810 --> 00:02:49,050 +one, you have to state the appropriate null and + +31 +00:02:49,050 --> 00:02:50,930 +alternative hypothesis. + +32 +00:02:53,330 --> 00:02:58,150 +Second step, compute the value of the test + +33 +00:02:58,150 --> 00:03:01,510 +statistic. In this case, your Z statistic should + +34 +00:03:01,510 --> 00:03:09,910 +be P1 minus P2 minus Pi 1 minus Pi 2, under the + +35 +00:03:09,910 --> 00:03:17,310 +square root of P dash 1 minus P dash times 1 over + +36 +00:03:17,310 --> 00:03:24,550 +N1 plus 1 over N1. Now, P1 and P2 are given under + +37 +00:03:24,550 --> 00:03:29,730 +the null hypothesis Pi 1 minus Pi 2 is 0. So here + +38 +00:03:29,730 --> 00:03:32,770 +we have to compute P dash, which is the overall + +39 +00:03:35,350 --> 00:03:40,710 +B dash equals x1 plus x2 divided by n1 plus n2. + +40 +00:03:42,170 --> 00:03:45,150 +Now these x's, I mean the number of successes are + +41 +00:03:45,150 --> 00:03:49,450 +not given directly in this problem, but we can + +42 +00:03:49,450 --> 00:03:54,050 +figure out the values of x1 and x2 by using this + +43 +00:03:54,050 --> 00:03:58,610 +information, which is n1 equals 150 and b1 equals + +44 +00:03:58,610 --> 00:04:03,210 +66%. Because we know that b1 equals x1 over n1. + +45 +00:04:06,860 --> 00:04:14,360 +So, by using this equation, X1 equals N1 times V1. + +46 +00:04:16,920 --> 00:04:28,100 +N1 150 times 66 percent, that will give 150 times + +47 +00:04:28,100 --> 00:04:35,940 +66, so that's 99. So 150 times, it's 99. + +48 +00:04:41,690 --> 00:04:49,670 +Similarly, X2 equals N2 times V2. N2 is given by + +49 +00:04:49,670 --> 00:04:53,770 +160, so 160 times 60 percent, + +50 +00:04:55,750 --> 00:05:02,550 +96. So the number of successes are 96 for the + +51 +00:05:02,550 --> 00:05:06,070 +second, for the previous. Nine nine. + +52 +00:05:11,270 --> 00:05:16,410 +So B dash equals x199 + +53 +00:05:16,410 --> 00:05:28,330 +plus 96 divided by n1 plus n2, 350. And that will + +54 +00:05:28,330 --> 00:05:34,850 +give the overall proportions divided by 310, 0 + +55 +00:05:34,850 --> 00:05:35,510 +.629. + +56 +00:05:40,870 --> 00:05:44,570 +So, this is the value of the overall proportion. + +57 +00:05:45,390 --> 00:05:50,650 +Now, B dash equals 1.629. So, 1 times 1 minus B + +58 +00:05:50,650 --> 00:05:54,970 +dash is 1 minus this value times 1 over N1, 1 over + +59 +00:05:54,970 --> 00:06:00,550 +150 plus 1 over 160. Simple calculation will give + +60 +00:06:01,460 --> 00:06:07,280 +The value of z, which is in this case 1.093. + +61 +00:06:07,780 --> 00:06:10,620 +So just plug this information into this equation, + +62 +00:06:11,340 --> 00:06:19,320 +you will get z value, which is 1.093. He asked to + +63 +00:06:19,320 --> 00:06:21,780 +do this problem by using two approaches, critical + +64 +00:06:21,780 --> 00:06:25,180 +value and b value. Let's start with the first one, + +65 +00:06:26,780 --> 00:06:27,780 +b value approach. + +66 +00:06:32,710 --> 00:06:36,330 +Now your B value or critical value, start with + +67 +00:06:36,330 --> 00:06:37,050 +critical value. + +68 +00:06:40,850 --> 00:06:46,490 +Now since we are taking about a two-sided test, so + +69 +00:06:46,490 --> 00:06:50,170 +there are two critical values which are plus or + +70 +00:06:50,170 --> 00:06:54,670 +minus Z alpha over. Alpha is given by five + +71 +00:06:54,670 --> 00:06:56,990 +percent, so in this case + +72 +00:06:59,630 --> 00:07:03,370 +is equal to plus or minus 1.96. + +73 +00:07:05,930 --> 00:07:10,010 +Now, does this value, I mean does the value of + +74 +00:07:10,010 --> 00:07:14,910 +this statistic which is 1.093 fall in the critical + +75 +00:07:14,910 --> 00:07:22,730 +region? Now, my critical regions are above 196 or + +76 +00:07:22,730 --> 00:07:28,130 +below negative 1.96. Now this value actually falls + +77 +00:07:29,300 --> 00:07:32,420 +In the non-rejection region, so we don't reject + +78 +00:07:32,420 --> 00:07:36,160 +the null hypothesis. So my decision, don't reject + +79 +00:07:36,160 --> 00:07:39,980 +the null hypothesis. That means there is not + +80 +00:07:39,980 --> 00:07:43,420 +sufficient evidence to support the alternative + +81 +00:07:43,420 --> 00:07:46,960 +which states that the proportion has changed from + +82 +00:07:46,960 --> 00:07:51,290 +the previous study. So we don't reject the null + +83 +00:07:51,290 --> 00:07:54,010 +hypothesis. It means there is not sufficient + +84 +00:07:54,010 --> 00:07:58,050 +evidence to support the alternative hypothesis. + +85 +00:07:58,270 --> 00:08:02,010 +That means you cannot say that the proportion has + +86 +00:08:02,010 --> 00:08:05,530 +changed from the previous study. That by using + +87 +00:08:05,530 --> 00:08:09,650 +critical value approach. Now what's about p-value? + +88 +00:08:11,830 --> 00:08:16,170 +In order to determine the p-value, + +89 +00:08:19,460 --> 00:08:23,320 +We have to find the probability that the Z + +90 +00:08:23,320 --> 00:08:28,060 +statistic fall in the rejection regions. So that + +91 +00:08:28,060 --> 00:08:36,260 +means Z greater than my values 1093 or + +92 +00:08:36,260 --> 00:08:41,060 +Z smaller than negative 1.093. + +93 +00:08:45,450 --> 00:08:49,730 +1093 is the same as the left of negative, so they + +94 +00:08:49,730 --> 00:08:52,810 +are the same because of symmetry. So just take 1 + +95 +00:08:52,810 --> 00:08:54,050 +and multiply by 2. + +96 +00:08:58,430 --> 00:09:03,070 +Now simple calculation will give the value of 0 + +97 +00:09:03,070 --> 00:09:09,950 +.276 in chapter 6. So go back to chapter 6 to + +98 +00:09:09,950 --> 00:09:13,290 +figure out how can we calculate the probability of + +99 +00:09:13,290 --> 00:09:19,830 +Z greater than 1.0938. Now my B value is 0.276, + +100 +00:09:20,030 --> 00:09:25,190 +always we reject the null hypothesis if my B value + +101 +00:09:25,190 --> 00:09:29,050 +is smaller than alpha. Now this value is much much + +102 +00:09:29,050 --> 00:09:31,210 +bigger than alpha, so we don't reject the null + +103 +00:09:31,210 --> 00:09:36,710 +hypothesis. So since my B value is much greater + +104 +00:09:36,710 --> 00:09:42,650 +than alpha, that means we don't reject the null + +105 +00:09:42,650 --> 00:09:46,810 +hypothesis, so we reach the same conclusion, that + +106 +00:09:46,810 --> 00:09:49,270 +there is not sufficient evidence to support the + +107 +00:09:49,270 --> 00:09:55,270 +alternative. Also, we can perform the test by + +108 +00:09:55,270 --> 00:09:59,810 +using confidence interval approach, because here + +109 +00:09:59,810 --> 00:10:02,850 +we are talking about two-tailed test. Your + +110 +00:10:02,850 --> 00:10:06,670 +confidence interval is given by + +111 +00:10:10,620 --> 00:10:17,280 +B1 minus B2 plus + +112 +00:10:17,280 --> 00:10:23,720 +or minus Z alpha over 2 times B + +113 +00:10:23,720 --> 00:10:30,120 +dash 1 minus B dash multiplied by 1 over N1 plus 1 + +114 +00:10:30,120 --> 00:10:37,520 +over N2. By the way, this one + +115 +00:10:37,520 --> 00:10:43,320 +called the margin of error. So z times square root + +116 +00:10:43,320 --> 00:10:45,940 +of this sequence is called the margin of error, + +117 +00:10:46,940 --> 00:10:52,280 +and the square root itself is called the standard + +118 +00:10:52,280 --> 00:10:59,560 +error of the point estimate of pi 1 minus pi 2, + +119 +00:10:59,720 --> 00:11:04,430 +which is P1 minus P2. So square root of b dash 1 + +120 +00:11:04,430 --> 00:11:07,650 +minus b dash multiplied by 1 over n1 plus 1 over + +121 +00:11:07,650 --> 00:11:12,270 +n2 is called the standard error of the estimate of + +122 +00:11:12,270 --> 00:11:15,910 +pi 1 minus pi 2. So this is standard estimate of + +123 +00:11:15,910 --> 00:11:21,750 +b1 minus b2. Simply, you will get the confidence + +124 +00:11:21,750 --> 00:11:26,470 +interval to be between pi 1 minus the difference + +125 +00:11:26,470 --> 00:11:32,620 +between the two proportions, 4 between negative. 0 + +126 +00:11:32,620 --> 00:11:37,160 +.5 and + +127 +00:11:37,160 --> 00:11:38,940 +0.7. + +128 +00:11:44,060 --> 00:11:48,400 +Now this interval actually contains + +129 +00:11:50,230 --> 00:11:54,250 +The value of 0, that means we don't reject the + +130 +00:11:54,250 --> 00:11:57,570 +null hypothesis. So since this interval starts + +131 +00:11:57,570 --> 00:12:01,870 +from negative, lower bound is negative 0.5, upper + +132 +00:12:01,870 --> 00:12:06,190 +bound is 0.17, that means 0 inside this interval, + +133 +00:12:06,750 --> 00:12:09,130 +I mean the confidence captures the value of 0, + +134 +00:12:09,610 --> 00:12:13,810 +that means we don't reject the null hypothesis. So + +135 +00:12:13,810 --> 00:12:17,110 +by using three different approaches, we end with + +136 +00:12:17,110 --> 00:12:20,930 +the same decision and conclusion. That is, we + +137 +00:12:20,930 --> 00:12:25,370 +don't reject null hypotheses. That's all for + +138 +00:12:25,370 --> 00:12:26,110 +number one. + +139 +00:12:31,450 --> 00:12:32,910 +Question number two. + +140 +00:12:36,170 --> 00:12:40,450 +The excellent drug company claims its aspirin + +141 +00:12:40,450 --> 00:12:43,610 +tablets will relieve headaches faster than any + +142 +00:12:43,610 --> 00:12:47,470 +other aspirin on the market. So they believe that + +143 +00:12:48,440 --> 00:12:52,220 +Their drug is better than the other drug in the + +144 +00:12:52,220 --> 00:12:57,180 +market. To determine whether Excellence claim is + +145 +00:12:57,180 --> 00:13:04,260 +valid, random samples of size 15 are chosen from + +146 +00:13:04,260 --> 00:13:07,080 +aspirins made by Excellence and the sample drug + +147 +00:13:07,080 --> 00:13:12,300 +combined. So sample sizes of 15 are chosen from + +148 +00:13:12,300 --> 00:13:16,260 +each. So that means N1 equals 15 and N2 also + +149 +00:13:16,260 --> 00:13:21,160 +equals 15. And aspirin is given to each of the 30 + +150 +00:13:21,160 --> 00:13:23,520 +randomly selected persons suffering from + +151 +00:13:23,520 --> 00:13:27,220 +headaches. So the total sample size is 30, because + +152 +00:13:27,220 --> 00:13:30,780 +15 from the first company, and the second for the + +153 +00:13:30,780 --> 00:13:36,860 +simple company. So they are 30 selected persons + +154 +00:13:36,860 --> 00:13:40,280 +who are suffering from headaches. So we have + +155 +00:13:40,280 --> 00:13:43,380 +information about number of minutes required for + +156 +00:13:43,380 --> 00:13:47,720 +each to recover from the headache. is recorded, + +157 +00:13:48,200 --> 00:13:51,500 +the sample results are. So here we have two + +158 +00:13:51,500 --> 00:13:56,260 +groups, two populations. Company is called + +159 +00:13:56,260 --> 00:13:58,420 +excellent company and other one simple company. + +160 +00:13:59,120 --> 00:14:04,320 +The information we have, the sample means are 8.4 + +161 +00:14:04,320 --> 00:14:08,260 +for the excellent and 8.9 for the simple company. + +162 +00:14:09,040 --> 00:14:13,280 +With the standard deviations for the sample are 2 + +163 +00:14:13,280 --> 00:14:18,340 +.05 and 2.14 respectively for excellent and simple + +164 +00:14:18,340 --> 00:14:21,480 +and as we mentioned the sample sizes are the same + +165 +00:14:21,480 --> 00:14:26,380 +are equal 15 and 15. Now we are going to test at + +166 +00:14:26,380 --> 00:14:32,540 +five percent level of significance test whether to + +167 +00:14:32,540 --> 00:14:35,560 +determine whether excellence aspirin cure + +168 +00:14:35,560 --> 00:14:39,140 +headaches significantly faster than simple + +169 +00:14:39,140 --> 00:14:46,420 +aspirin. Now faster it means Better. Better it + +170 +00:14:46,420 --> 00:14:49,480 +means the time required to relieve headache is + +171 +00:14:49,480 --> 00:14:53,920 +smaller there. So you have to be careful in this + +172 +00:14:53,920 --> 00:15:00,800 +case. If we assume that Mu1 is the mean time + +173 +00:15:00,800 --> 00:15:05,120 +required for excellent aspirin. So Mu1 for + +174 +00:15:05,120 --> 00:15:05,500 +excellent. + +175 +00:15:17,260 --> 00:15:21,540 +So Me1, mean time required for excellence aspirin, + +176 +00:15:22,780 --> 00:15:28,860 +and Me2, mean time required for simple aspirin. So + +177 +00:15:28,860 --> 00:15:32,760 +each one, Me1, is smaller than Me3. + +178 +00:15:41,140 --> 00:15:45,960 +Since Me1 represents the time required to relieve + +179 +00:15:45,960 --> 00:15:51,500 +headache by using excellent aspirin and this one + +180 +00:15:51,500 --> 00:15:55,460 +is faster faster it means it takes less time in + +181 +00:15:55,460 --> 00:15:59,620 +order to recover from headache so mu1 should be + +182 +00:15:59,620 --> 00:16:06,400 +smaller than mu2 we are going to use T T is x1 bar + +183 +00:16:06,400 --> 00:16:11,380 +minus x2 bar minus the difference between the two + +184 +00:16:11,380 --> 00:16:14,720 +population proportions divided by + +185 +00:16:17,550 --> 00:16:22,070 +S squared B times 1 over N1 plus 1 over N2. + +186 +00:16:25,130 --> 00:16:30,470 +S squared B N1 + +187 +00:16:30,470 --> 00:16:35,330 +minus 1 S1 squared plus N2 minus 1 S2 squared + +188 +00:16:35,330 --> 00:16:41,990 +divided by N1 plus N2 minus 1. Now, a simple + +189 +00:16:41,990 --> 00:16:44,030 +calculation will give the following results. + +190 +00:16:59,660 --> 00:17:03,080 +So again, we have this data. Just plug this + +191 +00:17:03,080 --> 00:17:06,620 +information here to get the value of S square B. + +192 +00:17:07,740 --> 00:17:13,120 +And finally, you will end with this result. + +193 +00:17:18,220 --> 00:17:24,920 +S squared B equals 2 + +194 +00:17:24,920 --> 00:17:27,240 +.095 squared. + +195 +00:17:30,140 --> 00:17:35,920 +Your T statistic equals negative + +196 +00:17:42,790 --> 00:17:48,370 +So that's your T-statistic value. So just plug the + +197 +00:17:48,370 --> 00:17:51,210 +values in 1 and 2, this 1 squared and this 2 + +198 +00:17:51,210 --> 00:17:53,350 +squared into this equation, you will get this + +199 +00:17:53,350 --> 00:18:02,970 +value. So 2.059 squared, that is 4.239. + +200 +00:18:07,670 --> 00:18:10,690 +Here you can use either the critical value + +201 +00:18:10,690 --> 00:18:17,200 +approach, Or B value. Let's do a critical value. + +202 +00:18:21,920 --> 00:18:27,460 +Since the alternative is the lower tail, one-sided + +203 +00:18:27,460 --> 00:18:31,820 +lower tail, so your B value, your critical value + +204 +00:18:31,820 --> 00:18:37,630 +is negative, T alpha, and there is a freedom. So + +205 +00:18:37,630 --> 00:18:47,630 +this is equal to negative T, 5% with 28 degrees of + +206 +00:18:47,630 --> 00:18:55,270 +freedom. By using the table you have 28, + +207 +00:18:56,030 --> 00:19:00,070 +28 + +208 +00:19:00,070 --> 00:19:12,790 +under 5%, so 28 under 5%, so + +209 +00:19:12,790 --> 00:19:20,870 +1.701, negative 1.701. + +210 +00:19:23,750 --> 00:19:28,290 +Now, we reject the null hypothesis if + +211 +00:19:33,770 --> 00:19:42,890 +region. Now again, since it's lower TL, so your + +212 +00:19:42,890 --> 00:19:48,830 +rejection region is below negative 1.701. + +213 +00:19:51,230 --> 00:19:55,630 +Now, does this value fall in the rejection region? + +214 +00:19:56,510 --> 00:20:02,350 +It falls in the non-rejection region. So the + +215 +00:20:02,350 --> 00:20:08,040 +answer is Don't reject the null hypothesis. That + +216 +00:20:08,040 --> 00:20:11,380 +means we don't have sufficient evidence to support + +217 +00:20:11,380 --> 00:20:16,300 +the excellent drug company claim which states that + +218 +00:20:16,300 --> 00:20:21,380 +their aspirin tablets relieve headaches faster + +219 +00:20:21,380 --> 00:20:28,540 +than the simple one. So that's by using a critical + +220 +00:20:28,540 --> 00:20:33,230 +value approach because this value falls in the non + +221 +00:20:33,230 --> 00:20:36,450 +-rejection region, so we don't reject the null + +222 +00:20:36,450 --> 00:20:36,890 +hypothesis. + +223 +00:20:44,130 --> 00:20:48,930 +Or you maybe use the B-value approach. + +224 +00:20:53,070 --> 00:20:56,850 +Now, since the alternative is µ1 smaller than µ2, + +225 +00:20:57,640 --> 00:21:03,260 +So B value is probability of T smaller than + +226 +00:21:03,260 --> 00:21:08,820 +negative 0 + +227 +00:21:08,820 --> 00:21:12,400 +.653. + +228 +00:21:14,300 --> 00:21:18,420 +So we are looking for this probability B of Z + +229 +00:21:18,420 --> 00:21:21,340 +smaller than negative 0.653. + +230 +00:21:23,210 --> 00:21:27,050 +The table you have gives the area in the upper + +231 +00:21:27,050 --> 00:21:33,190 +tail. So this is the same as beauty greater than. + +232 +00:21:37,790 --> 00:21:44,350 +Because the area to the right of 0.653 is the same + +233 +00:21:44,350 --> 00:21:48,070 +as the area to the left of negative 0.75. Because + +234 +00:21:48,070 --> 00:21:52,970 +of symmetry. Just look at the tea table. Now, + +235 +00:21:53,070 --> 00:22:00,810 +smaller than negative, means this area is actually + +236 +00:22:00,810 --> 00:22:02,690 +the same as the area to the right of the same + +237 +00:22:02,690 --> 00:22:07,330 +value, but on the other side. So these two areas + +238 +00:22:07,330 --> 00:22:11,890 +are the same. So it's the same as D of T greater + +239 +00:22:11,890 --> 00:22:17,710 +than 0.653. If you look at the table for 28 + +240 +00:22:17,710 --> 00:22:19,150 +degrees of freedom, + +241 +00:22:22,300 --> 00:22:23,520 +That's your 28. + +242 +00:22:27,580 --> 00:22:32,720 +I am looking for the value of 0.653. The first + +243 +00:22:32,720 --> 00:22:38,420 +value here is 0.683. The other one is 0.8. It + +244 +00:22:38,420 --> 00:22:43,600 +means my value is below this one. If you go back + +245 +00:22:43,600 --> 00:22:46,600 +here, + +246 +00:22:46,700 --> 00:22:52,610 +so it should be to the left of this value. Now + +247 +00:22:52,610 --> 00:22:57,170 +here 25, then 20, 20, 15 and so on. So it should + +248 +00:22:57,170 --> 00:23:01,930 +be greater than 25. So your B value actually is + +249 +00:23:01,930 --> 00:23:08,570 +greater than 25%. As we mentioned before, T table + +250 +00:23:08,570 --> 00:23:12,010 +does not give the exact B value. So approximately + +251 +00:23:12,010 --> 00:23:17,290 +my B value is greater than 25%. This value + +252 +00:23:17,290 --> 00:23:22,400 +actually is much bigger than 5%. So again, we + +253 +00:23:22,400 --> 00:23:27,480 +reject, we don't reject the null hypothesis. So + +254 +00:23:27,480 --> 00:23:30,600 +again, to compute the B value, it's probability of + +255 +00:23:30,600 --> 00:23:37,320 +T smaller than the value of the statistic, which + +256 +00:23:37,320 --> 00:23:42,040 +is negative 0.653. The table you have gives the + +257 +00:23:42,040 --> 00:23:43,040 +area to the right. + +258 +00:23:46,980 --> 00:23:50,700 +So this probability is the same as B of T greater + +259 +00:23:50,700 --> 00:23:55,920 +than 0.653. So by using this table, you will get + +260 +00:23:55,920 --> 00:24:00,100 +approximate value of B, which is greater than 25%. + +261 +00:24:00,100 --> 00:24:02,960 +Always, as we mentioned, we reject the null + +262 +00:24:02,960 --> 00:24:06,660 +hypothesis if my B value is smaller than alpha. In + +263 +00:24:06,660 --> 00:24:08,920 +this case, this value is greater than alpha, so we + +264 +00:24:08,920 --> 00:24:11,480 +don't reject the null. So we reach the same + +265 +00:24:11,480 --> 00:24:15,640 +decision as by using the critical value approach. + +266 +00:24:17,040 --> 00:24:23,360 +Any question? So that's for number two. Question + +267 +00:24:23,360 --> 00:24:24,040 +number three. + +268 +00:24:32,120 --> 00:24:35,820 +To test the effectiveness of a business school + +269 +00:24:35,820 --> 00:24:41,640 +preparation course, eight students took a general + +270 +00:24:41,640 --> 00:24:47,210 +business test before and after the course. Let X1 + +271 +00:24:47,210 --> 00:24:50,330 +denote before, + +272 +00:24:53,010 --> 00:24:55,450 +and X2 after. + +273 +00:24:59,630 --> 00:25:04,630 +And the difference is X2 minus X1. + +274 +00:25:14,780 --> 00:25:19,540 +The mean of the difference equals 50. And the + +275 +00:25:19,540 --> 00:25:25,540 +standard deviation of the difference is 65.03. So + +276 +00:25:25,540 --> 00:25:28,900 +sample statistics are sample mean for the + +277 +00:25:28,900 --> 00:25:32,040 +difference and sample standard deviation of the + +278 +00:25:32,040 --> 00:25:36,860 +difference. So these two values are given. Test to + +279 +00:25:36,860 --> 00:25:40,200 +determine the effectiveness of a business school + +280 +00:25:40,200 --> 00:25:45,960 +preparation course. So what's your goal? An + +281 +00:25:45,960 --> 00:25:48,120 +alternative, null equals zero. An alternative + +282 +00:25:48,120 --> 00:25:52,340 +should + +283 +00:25:52,340 --> 00:25:58,360 +be greater than zero. Because D is X2 minus X1. So + +284 +00:25:58,360 --> 00:26:02,840 +effective, it means after is better than before. + +285 +00:26:03,680 --> 00:26:08,420 +So my score after taking the course is better than + +286 +00:26:08,420 --> 00:26:12,080 +before taking the course. So X in UD is positive. + +287 +00:26:19,090 --> 00:26:27,510 +T is D bar minus 0 divided by SD over square root + +288 +00:26:27,510 --> 00:26:41,090 +of A. D bar is 50 divided by 65 divided + +289 +00:26:41,090 --> 00:26:54,490 +by Square root of 8. So 50 divided by square + +290 +00:26:54,490 --> 00:26:57,910 +root of 8, 2.17. + +291 +00:27:04,070 --> 00:27:09,570 +Now Yumi used the critical value approach. So my + +292 +00:27:09,570 --> 00:27:10,930 +critical value is T alpha. + +293 +00:27:13,680 --> 00:27:20,140 +And degrees of freedom is 7. It's upper 10. So + +294 +00:27:20,140 --> 00:27:27,300 +it's plus. So it's T alpha 0, 5. And DF is 7, + +295 +00:27:27,320 --> 00:27:33,820 +because N equals 8. Now by using the table, at 7 + +296 +00:27:33,820 --> 00:27:34,680 +degrees of freedom, + +297 +00:27:38,220 --> 00:27:39,340 +so at 7, + +298 +00:27:53,560 --> 00:28:03,380 +So my T value is greater than the + +299 +00:28:03,380 --> 00:28:07,020 +critical region, so we reject the null hypothesis. + +300 +00:28:10,740 --> 00:28:17,700 +The rejection region starts from 1.9895 and this + +301 +00:28:17,700 --> 00:28:24,800 +value actually greater than 1.8. So since it falls + +302 +00:28:24,800 --> 00:28:30,320 +in the rejection region, then we reject the null + +303 +00:28:30,320 --> 00:28:35,060 +hypothesis. It means that taking the course, + +304 +00:28:36,370 --> 00:28:39,690 +improves your score. So we have sufficient + +305 +00:28:39,690 --> 00:28:43,010 +evidence to support the alternative hypothesis. + +306 +00:28:44,330 --> 00:28:50,650 +That's for number three. The other part, the other + +307 +00:28:50,650 --> 00:28:51,130 +part. + +308 +00:28:54,290 --> 00:28:58,550 +A statistician selected a sample of 16 receivable + +309 +00:28:58,550 --> 00:29:03,530 +accounts. He reported that the sample information + +310 +00:29:04,690 --> 00:29:07,790 +indicated the mean of the population ranges from + +311 +00:29:07,790 --> 00:29:12,730 +these two values. So we have lower and upper + +312 +00:29:12,730 --> 00:29:21,910 +limits, which are given by 4739. + +313 +00:29:36,500 --> 00:29:42,400 +So the mean of the population ranges between these + +314 +00:29:42,400 --> 00:29:47,880 +two values. And in addition to that, we have + +315 +00:29:47,880 --> 00:29:55,920 +information about the sample standard deviation is + +316 +00:29:55,920 --> 00:29:56,340 +400. + +317 +00:29:59,500 --> 00:30:03,260 +The statistician neglected to report what + +318 +00:30:03,260 --> 00:30:07,440 +confidence level he had used. So we don't know C + +319 +00:30:07,440 --> 00:30:14,180 +level. So C level is unknown, which actually is 1 + +320 +00:30:14,180 --> 00:30:14,760 +minus alpha. + +321 +00:30:20,980 --> 00:30:25,360 +Based on the above information, what's the + +322 +00:30:25,360 --> 00:30:28,380 +confidence level? So we are looking for C level. + +323 +00:30:29,380 --> 00:30:34,160 +Now just keep in mind the confidence interval is + +324 +00:30:34,160 --> 00:30:38,200 +given and we are looking for C level. + +325 +00:30:42,920 --> 00:30:46,600 +So this area actually is alpha over 2 and other + +326 +00:30:46,600 --> 00:30:49,940 +one is alpha over 2, so the area between is 1 + +327 +00:30:49,940 --> 00:30:50,440 +minus alpha. + +328 +00:30:53,340 --> 00:30:58,620 +Now since the sample size equal + +329 +00:31:01,950 --> 00:31:10,010 +16, N equals 16, so N equals 16, so your + +330 +00:31:10,010 --> 00:31:12,490 +confidence interval should be X bar plus or minus + +331 +00:31:12,490 --> 00:31:14,610 +T, S over root N. + +332 +00:31:19,350 --> 00:31:26,390 +Now, C level can be determined by T, and we know + +333 +00:31:26,390 --> 00:31:28,130 +that this quantity, + +334 +00:31:30,730 --> 00:31:36,970 +represents the margin of error. So, E equals TS + +335 +00:31:36,970 --> 00:31:42,950 +over root N. Now, since the confidence interval is + +336 +00:31:42,950 --> 00:31:50,270 +given, we know from previous chapters that the + +337 +00:31:50,270 --> 00:31:53,970 +margin equals the difference between upper and + +338 +00:31:53,970 --> 00:31:59,560 +lower divided by two. So, half distance of lower + +339 +00:31:59,560 --> 00:32:06,320 +and upper gives the margin. So that will give 260 + +340 +00:32:06,320 --> 00:32:17,620 +.2. So that's E. So now E is known to be 260.2 + +341 +00:32:17,620 --> 00:32:24,320 +equals to S is given by 400 and N is 16. + +342 +00:32:26,800 --> 00:32:29,420 +Now, simple calculation will give the value of T, + +343 +00:32:30,060 --> 00:32:31,340 +which is the critical value. + +344 +00:32:35,280 --> 00:32:38,160 +So, my T equals 2.60. + +345 +00:32:41,960 --> 00:32:47,220 +Actually, this is T alpha over 2. Now, the value + +346 +00:32:47,220 --> 00:32:52,400 +of the critical value is known to be 2.602. What's + +347 +00:32:52,400 --> 00:32:56,520 +the corresponding alpha over 2? Now look at the + +348 +00:32:56,520 --> 00:32:59,660 +table, at 15 degrees of freedom, + +349 +00:33:02,720 --> 00:33:10,680 +look at 15, at this value 2.602, at this value. + +350 +00:33:12,640 --> 00:33:19,880 +So, 15 degrees of freedom, 2.602, so the + +351 +00:33:19,880 --> 00:33:21,940 +corresponding alpha over 2, not alpha. + +352 +00:33:24,610 --> 00:33:31,830 +it's 1% so my alpha over 2 is + +353 +00:33:31,830 --> 00:33:43,110 +1% so alpha is 2% so the confidence level is 1 + +354 +00:33:43,110 --> 00:33:50,510 +minus alpha so 1 minus alpha is 90% so c level is + +355 +00:33:50,510 --> 00:33:59,410 +98% so that's level or the confidence level. So + +356 +00:33:59,410 --> 00:34:03,990 +again, maybe this is a tricky question. + +357 +00:34:07,330 --> 00:34:10,530 +But at least you know that if the confidence + +358 +00:34:10,530 --> 00:34:15,270 +interval is given, you can determine the margin of + +359 +00:34:15,270 --> 00:34:18,930 +error by the difference between lower and upper + +360 +00:34:18,930 --> 00:34:23,310 +divided by two. Then we know this term represents + +361 +00:34:23,310 --> 00:34:27,150 +this margin. So by using this equation, we can + +362 +00:34:27,150 --> 00:34:29,770 +compute the value of T, I mean the critical value. + +363 +00:34:30,670 --> 00:34:35,290 +So since the critical value is given or is + +364 +00:34:35,290 --> 00:34:38,590 +computed, we can determine the corresponding alpha + +365 +00:34:38,590 --> 00:34:45,390 +over 2. So alpha over 2 is 1%. So your alpha is + +366 +00:34:45,390 --> 00:34:51,710 +2%. So my C level is 98%. That's + +367 +00:34:51,710 --> 00:34:56,180 +all. Any questions? We're done, Muhammad. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/WhD1LW5lZxc_raw.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/WhD1LW5lZxc_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..f07dea034830ac1dfe5d0f6623ccaa337ea24f6a --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/WhD1LW5lZxc_raw.srt @@ -0,0 +1,2984 @@ +1 +00:00:06,000 --> 00:00:10,400 +Today, I will start chapter 10. + +2 +00:00:12,160 --> 00:00:16,940 +Chapter 10 talks about two sample tests and one + +3 +00:00:16,940 --> 00:00:24,720 +analysis of variance. In the last chapters, we had + +4 +00:00:24,720 --> 00:00:28,380 +already talked about one sample. + +5 +00:00:31,700 --> 00:00:34,240 +And also, we introduced how + +6 +00:00:41,910 --> 00:00:51,590 +In addition to that, we perform tests about Mu and + +7 +00:00:51,590 --> 00:00:59,310 +Y. In this chapter, we are going to generalize our + +8 +00:00:59,310 --> 00:01:03,870 +confidence interval and testing about two-sample + +9 +00:01:03,870 --> 00:01:08,600 +tests or more than two-sample tests. For two + +10 +00:01:08,600 --> 00:01:14,900 +samples, we are interested in the difference + +11 +00:01:14,900 --> 00:01:19,220 +between either two population means or two + +12 +00:01:19,220 --> 00:01:23,580 +population proportions. For example, suppose we + +13 +00:01:23,580 --> 00:01:29,440 +are teaching students and we have males and + +14 +00:01:29,440 --> 00:01:36,280 +females. And our goal is to test to see whether or + +15 +00:01:36,280 --> 00:01:40,470 +not there exists a significant difference between + +16 +00:01:40,470 --> 00:01:45,090 +scores of males and females. So in this case, we + +17 +00:01:45,090 --> 00:01:52,510 +have two populations, population A and population + +18 +00:01:52,510 --> 00:01:58,930 +B. And for example, suppose we select a random + +19 +00:01:58,930 --> 00:02:02,910 +sample from + +20 +00:02:02,910 --> 00:02:06,660 +the first population. And select another sample + +21 +00:02:06,660 --> 00:02:11,800 +from the second population. And the goal is how + +22 +00:02:11,800 --> 00:02:15,000 +can we construct a confidence interval for the + +23 +00:02:15,000 --> 00:02:17,920 +difference between mu1 and mu2. So we are talking + +24 +00:02:17,920 --> 00:02:21,700 +about mu1 minus mu2, or the difference between two + +25 +00:02:21,700 --> 00:02:26,240 +population proportions, pi1 minus pi2. + +26 +00:02:29,620 --> 00:02:33,280 +Sometimes there exists more than two populations. + +27 +00:02:34,490 --> 00:02:39,970 +And also, we can figure out if the means, in + +28 +00:02:39,970 --> 00:02:46,890 +general, are different or not. In this chapter, + +29 +00:02:47,030 --> 00:02:50,790 +we'll just talk about two sample tests. And we are + +30 +00:02:50,790 --> 00:02:54,370 +going to skip one-way analysis of variance. So + +31 +00:02:54,370 --> 00:03:00,510 +we'll explain in details confidence intervals and + +32 +00:03:00,510 --> 00:03:05,830 +hypothesis testing about two samples. For one-way + +33 +00:03:05,830 --> 00:03:08,830 +analysis of variance, that one will be discussed + +34 +00:03:08,830 --> 00:03:15,610 +in the SPSS course. The objectives for this + +35 +00:03:15,610 --> 00:03:20,910 +chapter are how to use hypothesis testing for + +36 +00:03:20,910 --> 00:03:25,930 +comparing the difference between the means of two + +37 +00:03:25,930 --> 00:03:29,890 +independent populations, the means of two related + +38 +00:03:29,890 --> 00:03:33,390 +populations. Let's see the difference between two + +39 +00:03:33,390 --> 00:03:41,160 +independent and two related populations. So the + +40 +00:03:41,160 --> 00:03:47,800 +two populations might be considered independent or + +41 +00:03:47,800 --> 00:03:52,040 +related. Related means dependent population. Now, + +42 +00:03:52,120 --> 00:03:56,520 +for independent populations, + +43 +00:03:57,560 --> 00:04:02,600 +in this case, sample one, does not affect the + +44 +00:04:02,600 --> 00:04:06,660 +results of sample. For this reason, we call it as + +45 +00:04:06,660 --> 00:04:09,660 +independent sample. So sample one does not affect + +46 +00:04:09,660 --> 00:04:13,240 +the results of sample two. For example, suppose as + +47 +00:04:13,240 --> 00:04:18,900 +we mentioned, we have females and + +48 +00:04:18,900 --> 00:04:23,230 +males. So here, the two groups or the two samples + +49 +00:04:23,230 --> 00:04:27,750 +are independent because a student's scores for + +50 +00:04:27,750 --> 00:04:31,650 +females, for example, does not affect score for + +51 +00:04:31,650 --> 00:04:36,370 +males. For this reason, they are independent. So + +52 +00:04:36,370 --> 00:04:40,950 +since we have two different groups, + +53 +00:04:42,150 --> 00:04:44,830 +Or two different samples. In this case, we have + +54 +00:04:44,830 --> 00:04:47,450 +independent populations or independent samples. + +55 +00:04:48,310 --> 00:04:52,550 +Now, for the two related populations, for example, + +56 +00:04:55,150 --> 00:05:00,970 +in this case, suppose we have 10 persons. + +57 +00:05:02,550 --> 00:05:10,110 +Person 1, suppose his or her weight 120 kilograms. + +58 +00:05:11,480 --> 00:05:15,780 +for the first item. The second item or second + +59 +00:05:15,780 --> 00:05:21,480 +person, his or her weight is 135 kilograms. The + +60 +00:05:21,480 --> 00:05:25,380 +third one, for example, 110. And suppose we have + +61 +00:05:25,380 --> 00:05:28,380 +10 persons. + +62 +00:05:29,700 --> 00:05:35,040 +Weight? Suppose these are weights in kilograms. + +63 +00:05:38,120 --> 00:05:41,540 +Now, suppose these people or these students or + +64 +00:05:41,540 --> 00:05:46,720 +whatever they are have + +65 +00:05:46,720 --> 00:05:51,640 +diet for a period of time. For example, suppose + +66 +00:05:51,640 --> 00:05:56,900 +they have diet for three months. So, currently + +67 +00:05:56,900 --> 00:06:02,560 +their weights are given by 120, 135 and so on. + +68 +00:06:06,560 --> 00:06:09,860 +They have diet for three months after that. Then + +69 +00:06:09,860 --> 00:06:13,760 +we measure their weights after three months. Now + +70 +00:06:13,760 --> 00:06:18,640 +suppose the first person, his weight was 120. For + +71 +00:06:18,640 --> 00:06:21,900 +example, his weight was in January 120. Now in + +72 +00:06:21,900 --> 00:06:22,220 +April. + +73 +00:06:25,260 --> 00:06:30,060 +For example, suppose 105, 105 kilograms. The + +74 +00:06:30,060 --> 00:06:34,440 +second person suppose 120. The third one suppose + +75 +00:06:34,440 --> 00:06:35,900 +95, and so on. + +76 +00:06:40,310 --> 00:06:45,890 +Now, in two cases, we have the same individuals, + +77 +00:06:46,330 --> 00:06:50,110 +the same persons. Person one, his weight was 120, + +78 +00:06:50,690 --> 00:06:54,950 +and after a specific period of time, his weight + +79 +00:06:54,950 --> 00:07:01,610 +becomes 105. So we have the same people, the same + +80 +00:07:01,610 --> 00:07:09,260 +individuals for both In this case, these two + +81 +00:07:09,260 --> 00:07:13,380 +samples are called related samples. + +82 +00:07:15,040 --> 00:07:20,220 +So for related samples, we have the same group. + +83 +00:07:21,720 --> 00:07:24,000 +But we have different, or I'm sorry, we have + +84 +00:07:24,000 --> 00:07:26,800 +repeated measures or repeated measurements. + +85 +00:07:28,520 --> 00:07:33,320 +Another example for related samples. Suppose some + +86 +00:07:33,320 --> 00:07:38,180 +patients have high blood pressure. And they are + +87 +00:07:38,180 --> 00:07:44,720 +using drug A. And we have some information about + +88 +00:07:44,720 --> 00:07:48,100 +their blood pressure. Suppose first person, his or + +89 +00:07:48,100 --> 00:07:53,140 +her weight, blood pressure 145. The second one + +90 +00:07:53,140 --> 00:07:54,520 +suppose 160 and so on. + +91 +00:07:59,900 --> 00:08:05,500 +So suppose these people, these patients, use + +92 +00:08:05,500 --> 00:08:09,900 +different drug, for example, drug B. And our goal + +93 +00:08:09,900 --> 00:08:14,240 +is to see if drug B is more effective to reduce + +94 +00:08:14,240 --> 00:08:18,040 +the blood pressure than using drug A. Suppose by + +95 +00:08:18,040 --> 00:08:21,560 +using drug B after, for example, three months, the + +96 +00:08:21,560 --> 00:08:24,320 +first person with high blood pressure, 145, + +97 +00:08:24,440 --> 00:08:27,460 +becomes, for example, 130. The other one, suppose + +98 +00:08:27,460 --> 00:08:33,700 +145, and so on. So here we have the same patients. + +99 +00:08:36,010 --> 00:08:42,110 +Patients took drug A, and after taking drug B for + +100 +00:08:42,110 --> 00:08:45,230 +three months, for example, their new measures are + +101 +00:08:45,230 --> 00:08:47,750 +given by one theory, one photograph, and so on. So + +102 +00:08:47,750 --> 00:08:50,710 +each person in this case has two values, or two + +103 +00:08:50,710 --> 00:08:55,550 +observations. One before using drug B, and the + +104 +00:08:55,550 --> 00:08:59,530 +other after. So if you have before and after, it + +105 +00:08:59,530 --> 00:09:05,070 +means we have related samples. So any problem has + +106 +00:09:05,070 --> 00:09:07,690 +before and after for the same people, the same + +107 +00:09:07,690 --> 00:09:10,830 +individual, in this case we have related samples. + +108 +00:09:11,710 --> 00:09:15,290 +So we have to distinguish between two independent + +109 +00:09:15,290 --> 00:09:21,510 +populations and two related samples. The other + +110 +00:09:21,510 --> 00:09:24,730 +objective, we are going to use hypothesis testing + +111 +00:09:24,730 --> 00:09:27,970 +for comparing the proportions of two independent + +112 +00:09:27,970 --> 00:09:32,270 +populations. That's all for this chapter. We are + +113 +00:09:32,270 --> 00:09:35,510 +going to skip the variances of two independent + +114 +00:09:35,510 --> 00:09:41,610 +populations. So this one will be skipped. How to + +115 +00:09:41,610 --> 00:09:45,250 +use one-way analysis of variance ANOVA to test for + +116 +00:09:45,250 --> 00:09:50,130 +differences among. Among this case means between + +117 +00:09:50,130 --> 00:09:54,310 +more than two populations. So among means more + +118 +00:09:54,310 --> 00:09:58,000 +than two. So here we are going also to skip + +119 +00:09:58,000 --> 00:10:01,620 +analysis of variance as well as how to perform + +120 +00:10:01,620 --> 00:10:04,040 +multiple comparisons and when we analysis of + +121 +00:10:04,040 --> 00:10:08,500 +variance will be skipped. So mainly we are + +122 +00:10:08,500 --> 00:10:14,160 +focusing on the difference between two means and + +123 +00:10:14,160 --> 00:10:18,440 +two proportions, two means for independent and + +124 +00:10:18,440 --> 00:10:23,340 +related, and also we are going to cover hypothesis + +125 +00:10:23,340 --> 00:10:26,380 +testing for the difference between to population + +126 +00:10:26,380 --> 00:10:29,640 +proportions. That's all for this chapter. + +127 +00:10:33,220 --> 00:10:38,880 +So again, we are going to explain how can we + +128 +00:10:38,880 --> 00:10:42,440 +perform testing for two sample tests. In this + +129 +00:10:42,440 --> 00:10:47,420 +case, there are four cases. First, we'll discuss + +130 +00:10:47,420 --> 00:10:51,260 +hypothesis testing for the population means for + +131 +00:10:51,260 --> 00:10:54,870 +independent samples. So in this case, we have mean + +132 +00:10:54,870 --> 00:10:58,590 +one versus mean two. So that's for independent + +133 +00:10:58,590 --> 00:11:01,450 +samples. The other one also for the population + +134 +00:11:01,450 --> 00:11:05,050 +means, but for related samples. By the way, + +135 +00:11:05,150 --> 00:11:07,090 +sometimes it's called a pair. + +136 +00:11:11,810 --> 00:11:18,230 +Samples. The word pair comes from we have two + +137 +00:11:18,230 --> 00:11:19,570 +values for the same independent + +138 +00:11:23,970 --> 00:11:28,350 +After that, it becomes 110, for example. So it's + +139 +00:11:28,350 --> 00:11:29,610 +called pair. + +140 +00:11:35,150 --> 00:11:40,450 +So in this case, we have semigroup before versus + +141 +00:11:40,450 --> 00:11:41,750 +after treatment. + +142 +00:11:44,410 --> 00:11:47,110 +The other type of two-sample test is population + +143 +00:11:47,110 --> 00:11:49,530 +proportions. In this case, we are going to test to + +144 +00:11:49,530 --> 00:11:52,270 +see if there is a difference between two + +145 +00:11:52,270 --> 00:11:57,050 +population proportions. The other type of two + +146 +00:11:57,050 --> 00:12:00,030 +-sample test, population variances, variance one + +147 +00:12:00,030 --> 00:12:04,010 +against variance two. As we mentioned, we are + +148 +00:12:04,010 --> 00:12:07,450 +going to cover population means for independent + +149 +00:12:07,450 --> 00:12:11,110 +and related samples, as well as the population + +150 +00:12:11,110 --> 00:12:16,100 +proportion. That's all, again, for this chapter. + +151 +00:12:18,300 --> 00:12:22,260 +We have to start with the sampling distribution + +152 +00:12:22,260 --> 00:12:26,220 +actually of the difference between two population + +153 +00:12:26,220 --> 00:12:32,580 +means. In chapter seven, we talked about sampling + +154 +00:12:32,580 --> 00:12:39,760 +distribution for + +155 +00:12:39,760 --> 00:12:41,620 +X bar. + +156 +00:12:45,430 --> 00:12:54,310 +And we said that X bar is a point estimate for Mu. + +157 +00:12:55,730 --> 00:13:00,130 +Now in this chapter we are interested for the + +158 +00:13:00,130 --> 00:13:03,090 +difference between two population means. That + +159 +00:13:03,090 --> 00:13:08,770 +means if we have Mu1 minus Mu2, in this case the + +160 +00:13:08,770 --> 00:13:12,850 +point estimate of this difference should be X1 + +161 +00:13:12,850 --> 00:13:17,970 +bar. minus x2. So x1 bar minus x2 bar is a point + +162 +00:13:17,970 --> 00:13:22,570 +estimate for the difference mu1 minus mu2. So this + +163 +00:13:22,570 --> 00:13:28,150 +one is a point estimate for + +164 +00:13:28,150 --> 00:13:36,910 +mu1 minus mu2. It's clear that x2 bar minus x1 bar + +165 +00:13:36,910 --> 00:13:45,310 +is a point estimate of or for mu2 minus mu1. So + +166 +00:13:45,310 --> 00:13:51,170 +that's the point estimate of mu1 minus mu2 or mu2 + +167 +00:13:51,170 --> 00:13:55,510 +minus mu1 just x1 minus x2 bar is the point + +168 +00:13:55,510 --> 00:14:00,690 +estimate for mu1 minus mu2. So again, our goal is + +169 +00:14:00,690 --> 00:14:05,090 +to test hypotheses of form or construct confidence + +170 +00:14:05,090 --> 00:14:07,650 +interval for the difference between two + +171 +00:14:07,650 --> 00:14:10,710 +populations means mu1 minus mu2. And the point + +172 +00:14:10,710 --> 00:14:16,070 +estimate for this difference is X1 bar minus X2 + +173 +00:14:16,070 --> 00:14:16,330 +bar. + +174 +00:14:20,010 --> 00:14:24,930 +In this case, we have two cases. One is called + +175 +00:14:24,930 --> 00:14:27,910 +independent or unrelated, the same meaning. + +176 +00:14:28,090 --> 00:14:32,130 +Unrelated means independent populations. In this + +177 +00:14:32,130 --> 00:14:34,670 +case, as we mentioned, samples selected from one + +178 +00:14:34,670 --> 00:14:38,870 +population. has no effect actually on the sample + +179 +00:14:38,870 --> 00:14:41,850 +selected from the other population. As we + +180 +00:14:41,850 --> 00:14:45,050 +mentioned, there are two groups, males and + +181 +00:14:45,050 --> 00:14:50,390 +females. So group one does not affect group two. I + +182 +00:14:50,390 --> 00:14:54,370 +mean males population does not affect the + +183 +00:14:54,370 --> 00:14:56,910 +population of the female. So in this case, we have + +184 +00:14:56,910 --> 00:15:00,250 +unrelated or independent populations. + +185 +00:15:01,610 --> 00:15:06,570 +In this case, there are two scenarios. Sigma is + +186 +00:15:06,570 --> 00:15:12,390 +unknown, but we assume they are equal. So sigma 1 + +187 +00:15:12,390 --> 00:15:14,750 +and sigma 2 are unknown, but we assume they are + +188 +00:15:14,750 --> 00:15:19,830 +equal. In this case, we are going to use something + +189 +00:15:19,830 --> 00:15:25,010 +called pooled variance test. The other scenario, + +190 +00:15:25,410 --> 00:15:29,990 +if the two sigma is unknown, but They are not + +191 +00:15:29,990 --> 00:15:31,890 +equal. In this case, we are going to something + +192 +00:15:31,890 --> 00:15:37,870 +called separate variance thickness. So in this + +193 +00:15:37,870 --> 00:15:41,710 +chapter, we focus just on unknown sigmas. Because + +194 +00:15:41,710 --> 00:15:46,150 +in real life, population variances are unknown. So + +195 +00:15:46,150 --> 00:15:50,610 +we have to focus on this case. I mean, sigmas are + +196 +00:15:50,610 --> 00:15:54,530 +unknown, but maybe we assume they are equal, or we + +197 +00:15:54,530 --> 00:15:56,750 +assume they are not equal. + +198 +00:16:00,020 --> 00:16:04,000 +Now, the hypothesis test in this case, if we are + +199 +00:16:04,000 --> 00:16:08,280 +talking about two population means, are, again, + +200 +00:16:09,120 --> 00:16:11,620 +two-tailed test, the same as we discussed before, + +201 +00:16:12,080 --> 00:16:15,580 +or one-tailed test, and one tail has two cases, + +202 +00:16:15,780 --> 00:16:19,800 +lower tail and upper tail. For example, if we are + +203 +00:16:19,800 --> 00:16:23,920 +interested in two-tailed test, we have to state + +204 +00:16:27,240 --> 00:16:31,620 +So the null hypothesis should be mu1 equals mu2, + +205 +00:16:31,740 --> 00:16:34,900 +which means there is no difference between the two + +206 +00:16:34,900 --> 00:16:38,680 +variations. In this case, it means that the + +207 +00:16:38,680 --> 00:16:42,440 +difference equals zero. So either you can state + +208 +00:16:42,440 --> 00:16:46,590 +your null hypothesis by using this way. Mi1 equals + +209 +00:16:46,590 --> 00:16:49,610 +Mi2, or the other way, the difference is zero. + +210 +00:16:49,950 --> 00:16:52,110 +They are equivalent. Because if the means are + +211 +00:16:52,110 --> 00:16:55,590 +equal, it means the difference is nothing, is + +212 +00:16:55,590 --> 00:16:59,530 +zero. Against the alternative hypothesis, Mi1 does + +213 +00:16:59,530 --> 00:17:04,490 +not equal Mi2, or the difference is not zero. So + +214 +00:17:04,490 --> 00:17:08,510 +you may use the other format, maybe it's better, + +215 +00:17:08,730 --> 00:17:11,530 +Mi1 minus Mi2 equals zero, against the difference + +216 +00:17:11,530 --> 00:17:14,170 +is not zero, or the other one, either one is + +217 +00:17:14,170 --> 00:17:18,190 +equal. Now, for the one-tailed test, there are two + +218 +00:17:18,190 --> 00:17:22,710 +cases, lower tail or upper tail. Lower tail means + +219 +00:17:22,710 --> 00:17:28,270 +under the alternative hypothesis, each one, mu1 is + +220 +00:17:28,270 --> 00:17:31,830 +smaller than mu2. It's called lower test. So if + +221 +00:17:31,830 --> 00:17:36,070 +mu1 is smaller than mu2, that means the difference + +222 +00:17:36,070 --> 00:17:40,030 +between the two populations is negative. Because + +223 +00:17:40,030 --> 00:17:42,790 +here mu1 is smaller than mu2, it means the + +224 +00:17:42,790 --> 00:17:46,490 +difference between these two is negative. And as + +225 +00:17:46,490 --> 00:17:49,990 +we mentioned before, H1 is the opposite of H0. So + +226 +00:17:49,990 --> 00:17:55,300 +if H1 Me1 is smaller than Me2, it means under the + +227 +00:17:55,300 --> 00:17:59,200 +null hypothesis, mu1 is greater than or equal to + +228 +00:17:59,200 --> 00:18:02,340 +mu. And as we mentioned before, the equal sign + +229 +00:18:02,340 --> 00:18:07,360 +appears only under the null hypothesis. So here + +230 +00:18:07,360 --> 00:18:11,280 +for the two-sided test, the equality here appears + +231 +00:18:11,280 --> 00:18:15,060 +just on the null hypothesis, as well as for lower + +232 +00:18:15,060 --> 00:18:18,760 +and upper tail test. For the upper tail test, + +233 +00:18:20,150 --> 00:18:22,970 +Again here, we have U1 is greater than U2. It + +234 +00:18:22,970 --> 00:18:26,890 +means the difference between these two populations + +235 +00:18:26,890 --> 00:18:30,570 +is above zero, greater than zero. So that's the + +236 +00:18:30,570 --> 00:18:35,610 +new scheme for formulating or stating null and + +237 +00:18:35,610 --> 00:18:39,510 +alternative hypotheses. It's quite similar to the + +238 +00:18:39,510 --> 00:18:42,490 +one we had discussed in chapter nine. Any + +239 +00:18:42,490 --> 00:18:47,300 +question? So this is step number one for doing or + +240 +00:18:47,300 --> 00:18:52,900 +performing statistical hypothesis testing. So + +241 +00:18:52,900 --> 00:18:56,020 +again, there are two types of tests. One is two + +242 +00:18:56,020 --> 00:19:00,500 +-tailed. in this case there is no direction you + +243 +00:19:00,500 --> 00:19:02,660 +don't know the exact direction of the two + +244 +00:19:02,660 --> 00:19:05,480 +population means you just say there is a + +245 +00:19:05,480 --> 00:19:08,620 +difference between the two population means in the + +246 +00:19:08,620 --> 00:19:11,580 +other two cases you know the exact direction you + +247 +00:19:11,580 --> 00:19:18,140 +may say that population mean for a it's smaller or + +248 +00:19:18,140 --> 00:19:22,620 +less than or decrease from The other one, here + +249 +00:19:22,620 --> 00:19:27,280 +population A is larger or increased or whatever it + +250 +00:19:27,280 --> 00:19:31,180 +is. So we have null hypothesis, informative + +251 +00:19:31,180 --> 00:19:34,620 +hypothesis, maybe two-tailed or one-tailed test. + +252 +00:19:34,680 --> 00:19:38,760 +It depends on the nature of the problem itself. + +253 +00:19:40,880 --> 00:19:44,440 +Now what's about the rejection regions? Similar as + +254 +00:19:44,440 --> 00:19:47,760 +we discussed before, if we are talking about two + +255 +00:19:47,760 --> 00:19:50,360 +-tailed test, In this case, there are two + +256 +00:19:50,360 --> 00:19:54,340 +rejection regions, one to the right of alpha over + +257 +00:19:54,340 --> 00:19:56,940 +2 and the other to the left of the other side of + +258 +00:19:56,940 --> 00:20:01,340 +alpha over 2. But here we have T alpha over 2 and + +259 +00:20:01,340 --> 00:20:04,420 +minus T alpha over 2. And again, we are focusing + +260 +00:20:04,420 --> 00:20:08,280 +on unknown sigmas. So we have to use T critical + +261 +00:20:08,280 --> 00:20:12,100 +values. So we reject the null hypothesis the same + +262 +00:20:12,100 --> 00:20:17,160 +as we mentioned before if the test statistic falls + +263 +00:20:17,160 --> 00:20:19,920 +in the rejection regions. In this case, if this + +264 +00:20:19,920 --> 00:20:25,060 +statistic lies in this region or the other one, we + +265 +00:20:25,060 --> 00:20:29,070 +have to reject them. That means if we reject the + +266 +00:20:29,070 --> 00:20:32,910 +hypothesis, if T stat is less than negative T + +267 +00:20:32,910 --> 00:20:37,610 +alpha over 2, or if T stat is above or greater + +268 +00:20:37,610 --> 00:20:41,070 +than T alpha over 2. So the same as we discussed + +269 +00:20:41,070 --> 00:20:44,350 +before. That's for two-tailed test. Now for lower + +270 +00:20:44,350 --> 00:20:47,270 +-tailed test, in this case, there is only one + +271 +00:20:47,270 --> 00:20:51,370 +rejection region to the left side. It's minus T + +272 +00:20:51,370 --> 00:20:54,260 +alpha. In this case, we reject the null hypothesis + +273 +00:20:54,260 --> 00:20:57,580 +if the value of the statistic or the test + +274 +00:20:57,580 --> 00:21:01,140 +statistic is smaller than negative T alpha. So we + +275 +00:21:01,140 --> 00:21:05,740 +reject if T stat is smaller than minus T alpha. On + +276 +00:21:05,740 --> 00:21:08,380 +the other side, if we are talking about a partial + +277 +00:21:08,380 --> 00:21:12,380 +test. So your null hypothesis, I'm sorry, your + +278 +00:21:12,380 --> 00:21:16,610 +alternative hypothesis always Look at the + +279 +00:21:16,610 --> 00:21:20,250 +alternative hypothesis in order to determine the + +280 +00:21:20,250 --> 00:21:24,070 +rejection region. So if it is greater than, it + +281 +00:21:24,070 --> 00:21:26,810 +means you have the area to the right. I mean the + +282 +00:21:26,810 --> 00:21:29,870 +rejection region should be to the right. If the + +283 +00:21:29,870 --> 00:21:34,230 +alternative hypothesis is negative, I mean smaller + +284 +00:21:34,230 --> 00:21:37,570 +than zero, it means the rejection region should be + +285 +00:21:37,570 --> 00:21:41,680 +to the left side. So here, the alternative + +286 +00:21:41,680 --> 00:21:44,480 +hypothesis, mu1 minus mu2, the difference is + +287 +00:21:44,480 --> 00:21:47,580 +positive. That means the rejection region is to + +288 +00:21:47,580 --> 00:21:50,280 +the right side. So we reject the null hypothesis + +289 +00:21:50,280 --> 00:21:54,340 +if T statistic is greater than T alpha. But here, + +290 +00:21:54,400 --> 00:21:58,700 +for the two-sided test or two-tailed test, they + +291 +00:21:58,700 --> 00:22:01,000 +are two regions. I mean, they are two rejection + +292 +00:22:01,000 --> 00:22:04,060 +regions because there is no direction under the + +293 +00:22:04,060 --> 00:22:06,940 +alternative hypothesis. So alpha should be split + +294 +00:22:06,940 --> 00:22:10,420 +in half. So alpha over two to the right and alpha + +295 +00:22:10,420 --> 00:22:13,680 +over two to the left side. So this scheme actually + +296 +00:22:13,680 --> 00:22:20,380 +mimics the same or similar to what we have + +297 +00:22:20,380 --> 00:22:25,880 +discussed in chapter one. Any questions? So again, + +298 +00:22:26,880 --> 00:22:32,680 +we have to formulate or state carefully null and + +299 +00:22:32,680 --> 00:22:36,420 +alternate hypothesis for both cases two and one + +300 +00:22:36,420 --> 00:22:41,890 +-tailed test. And the rejection regions, I think, + +301 +00:22:42,630 --> 00:22:46,270 +is straightforward. Now let's see what are the + +302 +00:22:46,270 --> 00:22:50,250 +assumptions in this case. If the two sigmas are + +303 +00:22:50,250 --> 00:22:54,710 +unknown, and we assume they are equal. So we + +304 +00:22:54,710 --> 00:22:59,790 +assume both sigmas are unknown. I mean, both + +305 +00:22:59,790 --> 00:23:02,810 +population standard deviations are unknown. And we + +306 +00:23:02,810 --> 00:23:06,490 +assume they are equal. The assumptions are. First, + +307 +00:23:06,650 --> 00:23:10,130 +samples should be drawn randomly and + +308 +00:23:10,130 --> 00:23:13,330 +independently. So samples are randomly and + +309 +00:23:13,330 --> 00:23:15,850 +independently drawn. So we have to select random + +310 +00:23:15,850 --> 00:23:20,250 +samples and they are independent. Assumption + +311 +00:23:20,250 --> 00:23:23,130 +number one. The second one, populations are + +312 +00:23:23,130 --> 00:23:27,070 +normally distributed. So we have to assume the + +313 +00:23:27,070 --> 00:23:31,650 +population is normal or both sample sizes are at + +314 +00:23:31,650 --> 00:23:36,250 +least 30. So, in order to apply the central + +315 +00:23:36,250 --> 00:23:39,270 +interface, so similar to the one we had discussed, + +316 +00:23:40,210 --> 00:23:43,830 +so here either the populations, I mean both of + +317 +00:23:43,830 --> 00:23:46,510 +them, normally distributed, abnormally + +318 +00:23:46,510 --> 00:23:51,030 +distributed, or both ends, or both sample sizes, + +319 +00:23:51,370 --> 00:23:57,290 +greater than 30, greater than or equal to, so at + +320 +00:23:57,290 --> 00:24:02,740 +least In addition to that, we have to assume that + +321 +00:24:02,740 --> 00:24:06,660 +population variances are unknown, but we assume + +322 +00:24:06,660 --> 00:24:11,460 +they are equal. So the assumptions are samples are + +323 +00:24:11,460 --> 00:24:16,400 +randomly selected and independent, populations are + +324 +00:24:16,400 --> 00:24:19,760 +normally distributed, or the sample sizes are + +325 +00:24:19,760 --> 00:24:22,960 +large enough in order to apply the central limit + +326 +00:24:22,960 --> 00:24:26,320 +theorem. In addition to that, population balances + +327 +00:24:26,320 --> 00:24:30,540 +are unknown, but we assume to be equal. These are + +328 +00:24:30,540 --> 00:24:36,560 +the classical assumptions for performing a t-test, + +329 +00:24:37,120 --> 00:24:39,480 +when sigma 1 and sigma 2 are unknown, but we + +330 +00:24:39,480 --> 00:24:43,860 +assume they are equal. Any questions? + +331 +00:24:46,820 --> 00:24:51,060 +Next, let's see how can we state the test + +332 +00:24:51,060 --> 00:24:55,690 +statistic. Again, we are talking about testing for + +333 +00:24:55,690 --> 00:25:00,010 +the difference between mu1 and mu2, so hypothesis + +334 +00:25:00,010 --> 00:25:04,590 +for mu1 minus mu2 with both sigmas, sigma1 and + +335 +00:25:04,590 --> 00:25:06,830 +sigma2 unknown and assumed equal. + +336 +00:25:11,050 --> 00:25:15,910 +The test statistic in this case is similar to the + +337 +00:25:15,910 --> 00:25:19,150 +one we discussed, but There is a little difference + +338 +00:25:19,150 --> 00:25:24,510 +in these two. The first one was this statistic. It + +339 +00:25:24,510 --> 00:25:27,870 +was x bar minus the mean divided by s over root n. + +340 +00:25:30,330 --> 00:25:35,390 +That's okay if we are testing for if 0, mu equal, + +341 +00:25:35,610 --> 00:25:39,550 +for example, any value. Three or four equivalents. + +342 +00:25:41,190 --> 00:25:43,590 +Here we are talking about the difference + +343 +00:25:43,590 --> 00:25:49,400 +confident, sorry, testing or test. for Mu 1 minus + +344 +00:25:49,400 --> 00:25:49,600 +Mu. + +345 +00:25:52,500 --> 00:25:58,440 +So my D-set step equals. + +346 +00:26:02,860 --> 00:26:06,020 +For one sample, we have only point is symmetric. + +347 +00:26:06,120 --> 00:26:10,420 +X1 is a point is symmetric for Mu. But for when we + +348 +00:26:10,420 --> 00:26:13,900 +are talking about The difference between two + +349 +00:26:13,900 --> 00:26:18,160 +populations means the point estimate is x1 bar + +350 +00:26:18,160 --> 00:26:22,780 +minus x2 bar. So here I should have x1 bar minus + +351 +00:26:22,780 --> 00:26:28,500 +x2 bar. So this is the first term in this formula, + +352 +00:26:28,680 --> 00:26:34,840 +minus. Here we have minus mu. But for the new + +353 +00:26:34,840 --> 00:26:41,780 +scenario, we have x0. Mu1 minus Mu2 equals zero. + +354 +00:26:42,280 --> 00:26:48,040 +So here, Mu1 minus Mu2. In most cases, we assume + +355 +00:26:48,040 --> 00:26:53,260 +the population means are under zero. There is no + +356 +00:26:53,260 --> 00:26:55,680 +difference between these two population means. So + +357 +00:26:55,680 --> 00:26:59,300 +we are assuming Mu1 minus Mu2 equals zero. So it + +358 +00:26:59,300 --> 00:27:04,540 +means this term cancels. If we assume there is no + +359 +00:27:04,540 --> 00:27:08,300 +difference between these two population means, In + +360 +00:27:08,300 --> 00:27:14,200 +some cases, might be the difference between these + +361 +00:27:14,200 --> 00:27:17,760 +two equal, for example, A, and A is just a + +362 +00:27:17,760 --> 00:27:24,100 +constant. In this case, you have to plug A instead + +363 +00:27:24,100 --> 00:27:30,480 +of mu1 minus mu2. But most of the cases will have + +364 +00:27:30,480 --> 00:27:35,520 +this classical one, the difference is zero. Divide + +365 +00:27:35,520 --> 00:27:40,740 +by, this is the new term in this chapter, divide + +366 +00:27:40,740 --> 00:27:43,840 +by the standard error of the estimate. + +367 +00:27:48,000 --> 00:27:50,540 +Because here, if we go back a little bit to the T + +368 +00:27:50,540 --> 00:27:56,080 +statistic, it's X bar minus mu divided by S over + +369 +00:27:56,080 --> 00:27:58,980 +square root of N is the standard error of X bar. + +370 +00:28:02,990 --> 00:28:06,550 +The same here, we have, sorry, standard error of + +371 +00:28:06,550 --> 00:28:10,750 +this estimate. So the new term is how can we find + +372 +00:28:10,750 --> 00:28:15,430 +the standard error X1 bar minus X2 bar. This one + +373 +00:28:15,430 --> 00:28:21,350 +is given by square root of S square B multiplied + +374 +00:28:21,350 --> 00:28:25,480 +by 1 over N1 plus 1 over N2. S squared B is called + +375 +00:28:25,480 --> 00:28:28,740 +the Bolt variance. And the Bolt variance is given + +376 +00:28:28,740 --> 00:28:34,340 +by this four equation. So first of all, we have to + +377 +00:28:34,340 --> 00:28:42,060 +compute the Bolt variance by using this equation, + +378 +00:28:42,240 --> 00:28:50,300 +S squared B equals N1 minus 1 S1 squared N2 minus + +379 +00:28:50,300 --> 00:28:56,470 +1 S2 squared divided by N1 minus 1 plus N2 minus + +380 +00:28:56,470 --> 00:29:02,050 +1. Now let's see if this makes sense or not, the + +381 +00:29:02,050 --> 00:29:04,910 +bold variance. Now, as we mentioned, there are two + +382 +00:29:04,910 --> 00:29:11,250 +samples. The first one has sample size of N1. The + +383 +00:29:11,250 --> 00:29:16,130 +other one has sample size of N2 with variances of + +384 +00:29:16,130 --> 00:29:19,650 +S1 squared and S2 squared respectively. So we have + +385 +00:29:19,650 --> 00:29:24,900 +two samples with sizes N1 and N2. Sigma is + +386 +00:29:24,900 --> 00:29:29,140 +unknown, but we know the sample variance for each. + +387 +00:29:30,260 --> 00:29:35,320 +Now suppose the two samples are mixed. Let's see + +388 +00:29:35,320 --> 00:29:37,600 +how can we find the pooled. It's called the + +389 +00:29:37,600 --> 00:29:43,280 +pooled. Sometimes called the weighted variance. + +390 +00:29:45,020 --> 00:29:49,080 +Look at this formula. N1 minus 1 squared plus N2 + +391 +00:29:49,080 --> 00:29:53,710 +minus 1 is 2 squared divided by N1 minus 1. plus + +392 +00:29:53,710 --> 00:30:00,950 +into minus one. We know that S squared is the sum + +393 +00:30:00,950 --> 00:30:06,650 +of X minus X bar divided by N minus one. That's if + +394 +00:30:06,650 --> 00:30:10,670 +we have only one sample. Now just cross + +395 +00:30:10,670 --> 00:30:16,070 +multiplication, we will get N minus one S squared + +396 +00:30:16,070 --> 00:30:21,230 +equals sum of X minus X bar squared. That's for + +397 +00:30:21,230 --> 00:30:27,080 +the first sample. What's about the second one? We + +398 +00:30:27,080 --> 00:30:32,660 +have two samples. So we can write for the first + +399 +00:30:32,660 --> 00:30:43,540 +one, N1 minus 1 S1 squared equals some X minus X + +400 +00:30:43,540 --> 00:30:47,720 +bar. This is for sample one. For the other sample, + +401 +00:30:48,060 --> 00:30:51,160 +we have the same equation but different data. So + +402 +00:30:51,160 --> 00:30:55,680 +we have S squared equals Y, for example, minus Y + +403 +00:30:55,680 --> 00:31:00,260 +bar divided by N2 minus 1. Now cross + +404 +00:31:00,260 --> 00:31:04,640 +multiplication will give N2 minus 1 is 2 squared + +405 +00:31:04,640 --> 00:31:08,780 +equals sum of Y minus Y bar squared. That's for + +406 +00:31:08,780 --> 00:31:09,760 +the second cell. + +407 +00:31:13,000 --> 00:31:19,000 +We are looking for standard error of the + +408 +00:31:19,000 --> 00:31:22,180 +difference between these two. So now the standard + +409 +00:31:22,180 --> 00:31:26,500 +error, or let's compute first, S squared B for + +410 +00:31:26,500 --> 00:31:30,220 +both. Now, S squared in general, as we mentioned, + +411 +00:31:30,820 --> 00:31:34,900 +is sum of X minus X bar squared divided by N minus + +412 +00:31:34,900 --> 00:31:41,200 +1. So here, we have the first sum plus the second + +413 +00:31:41,200 --> 00:31:50,770 +one divided by N minus 1 for the first. plus N2 + +414 +00:31:50,770 --> 00:31:58,450 +minus 1 for the second one. Now this sum equals N1 + +415 +00:31:58,450 --> 00:32:02,370 +minus 1 S1 squared. The second sum is N2 minus 1 + +416 +00:32:02,370 --> 00:32:07,710 +S2 squared divided by N1 minus 1 plus N2 minus 1. + +417 +00:32:09,870 --> 00:32:15,210 +So this is how this equation is formulated. So S + +418 +00:32:15,210 --> 00:32:18,210 +squared is called + +419 +00:32:26,330 --> 00:32:29,810 +Because as we mentioned in chapter three, the + +420 +00:32:29,810 --> 00:32:33,790 +variance, the definition of the variance is the + +421 +00:32:33,790 --> 00:32:34,290 +average + +422 +00:32:38,800 --> 00:32:42,040 +S squared is the average of the squared + +423 +00:32:42,040 --> 00:32:46,200 +differences around the mean. And this is the same + +424 +00:32:46,200 --> 00:32:49,820 +because here we have sum of x minus x bar plus the + +425 +00:32:49,820 --> 00:32:53,560 +other sum y minus y bar all divided by n1 minus 1 + +426 +00:32:53,560 --> 00:32:59,820 +plus n2 minus 1. This term can be written as n1 + +427 +00:32:59,820 --> 00:33:06,840 +plus n2 minus 2. So this is your whole variance. + +428 +00:33:10,660 --> 00:33:14,580 +Now, sum x minus x bar squared equal n1 minus 1 is + +429 +00:33:14,580 --> 00:33:15,060 +1 squared. + +430 +00:33:18,980 --> 00:33:23,700 +Yes, because we are looking for the difference or + +431 +00:33:23,700 --> 00:33:27,700 +the variance of this, the variance for x1 bar + +432 +00:33:27,700 --> 00:33:31,480 +minus x2 bar. This variance is variance of x1 bar. + +433 +00:33:32,830 --> 00:33:37,710 +plus variance of X bar. So we have to add this + +434 +00:33:37,710 --> 00:33:43,550 +value. But we are talking about the difference of + +435 +00:33:43,550 --> 00:33:51,530 +the mean standard error of X1 bar minus X bar. Now + +436 +00:33:51,530 --> 00:33:56,790 +what's the standard error of X bar? Square root + +437 +00:33:56,790 --> 00:34:01,120 +sigma over N or S square over N. if sigma is + +438 +00:34:01,120 --> 00:34:06,200 +unknown we should have s squared but here we are + +439 +00:34:06,200 --> 00:34:09,500 +looking for standard error of x1 bar minus x2 bar + +440 +00:34:09,500 --> 00:34:17,860 +so this equals and sigmas are unknown so we have s + +441 +00:34:17,860 --> 00:34:23,820 +squared b divided by or multiply this case by one + +442 +00:34:26,440 --> 00:34:29,700 +1 over N1 plus 1 over N2, because we have two + +443 +00:34:29,700 --> 00:34:34,720 +different samples. So now, the standard error of + +444 +00:34:34,720 --> 00:34:38,100 +the difference equals square root S square B + +445 +00:34:38,100 --> 00:34:42,260 +multiplied by 1 over N1 plus 1 over N2. So now, + +446 +00:34:42,820 --> 00:34:47,780 +the T set S6 becomes, again, we have X1 bar minus + +447 +00:34:47,780 --> 00:34:51,240 +X2 bar minus the difference between the two + +448 +00:34:51,240 --> 00:34:56,650 +population means, divided by this term, represents + +449 +00:34:56,650 --> 00:35:02,890 +the standard error of the estimate, this estimate. + +450 +00:35:04,990 --> 00:35:10,270 +Generally speaking, any statistic, for example, T + +451 +00:35:10,270 --> 00:35:15,150 +is estimate minus + +452 +00:35:15,150 --> 00:35:21,890 +hypothesized value divided + +453 +00:35:21,890 --> 00:35:27,320 +by the standard error of this estimate. And it is + +454 +00:35:27,320 --> 00:35:31,280 +statistical. If we are talking about one sample, + +455 +00:35:32,160 --> 00:35:38,460 +in this case, we have only one estimate, so it's X + +456 +00:35:38,460 --> 00:35:44,400 +bar minus a hypothesized value, Mu, standard error + +457 +00:35:44,400 --> 00:35:50,700 +of X bar, which is S over square root. That's for + +458 +00:35:50,700 --> 00:35:55,540 +one sample. Now, for two samples, what should we + +459 +00:35:55,540 --> 00:36:02,440 +have? We are talking about two symbols. Now the + +460 +00:36:02,440 --> 00:36:06,800 +estimate for the difference. So the difference is + +461 +00:36:06,800 --> 00:36:13,520 +x1 bar minus x2 bar minus the hypothesized value + +462 +00:36:13,520 --> 00:36:18,920 +under x0. We are assuming mu1 minus mu2 equals 0. + +463 +00:36:19,910 --> 00:36:24,810 +That's the general case. I mean this special case. + +464 +00:36:25,150 --> 00:36:29,150 +Sometimes suppose it's equal A or whatever it is. + +465 +00:36:29,510 --> 00:36:34,970 +We have to plug A here. Divide by the standard + +466 +00:36:34,970 --> 00:36:40,820 +error of this estimate. Now the standard of this + +467 +00:36:40,820 --> 00:36:44,480 +estimate equals this one. So we have to divide by + +468 +00:36:44,480 --> 00:36:48,680 +S squared B multiplied by 1 over N1 plus 1 over + +469 +00:36:48,680 --> 00:36:54,820 +N2. So this is your test statistic. Any question? + +470 +00:36:56,300 --> 00:37:02,440 +So again, this is the estimate of + +471 +00:37:02,440 --> 00:37:07,380 +the difference between U1 and U2. The other one is + +472 +00:37:07,380 --> 00:37:12,550 +the hypothesized value. In most cases, this + +473 +00:37:12,550 --> 00:37:17,910 +difference is zero. Divide by this amount is the + +474 +00:37:17,910 --> 00:37:19,710 +standard error of this estimate. + +475 +00:37:23,210 --> 00:37:27,350 +And the standard error is given by square root. It + +476 +00:37:27,350 --> 00:37:32,750 +looks like square root of S squared divided by N. + +477 +00:37:33,290 --> 00:37:37,190 +But in this case, we have two standard deviations, + +478 +00:37:37,670 --> 00:37:42,600 +so S1 squared over N1. plus S2 squared over N2. + +479 +00:37:42,900 --> 00:37:46,400 +But we are assuming that both sigmas are known and + +480 +00:37:46,400 --> 00:37:49,580 +we assume they are equal. So these two are the + +481 +00:37:49,580 --> 00:37:55,400 +same. So factor out. So here we have S squared + +482 +00:37:55,400 --> 00:38:00,440 +over N1 plus 1 over 2. And this one is called + +483 +00:38:00,440 --> 00:38:06,760 +square root. Any question? Basically, we are going + +484 +00:38:06,760 --> 00:38:11,340 +to use this statistic and the formula will be + +485 +00:38:11,340 --> 00:38:15,460 +given either the whole variance equation or the + +486 +00:38:15,460 --> 00:38:20,360 +other one. + +487 +00:38:32,240 --> 00:38:35,530 +Now what about the confidence interval? As we + +488 +00:38:35,530 --> 00:38:38,350 +mentioned before, any confidence interval can be + +489 +00:38:38,350 --> 00:38:42,350 +constructed by using general form, which is + +490 +00:38:42,350 --> 00:38:47,350 +estimate, I mean the point estimate, any + +491 +00:38:47,350 --> 00:38:53,070 +confidence interval. Estimate, plus or minus + +492 +00:38:53,070 --> 00:39:00,550 +critical value times standard error of your + +493 +00:39:00,550 --> 00:39:06,280 +estimate. That's in general. estimate or point + +494 +00:39:06,280 --> 00:39:10,840 +estimate plus or minus critical value times the + +495 +00:39:10,840 --> 00:39:15,400 +standard error of your estimate before we had + +496 +00:39:15,400 --> 00:39:21,620 +talked about confidence interval for mu so in that + +497 +00:39:21,620 --> 00:39:27,400 +case we have x bar plus or minus t then standard + +498 +00:39:27,400 --> 00:39:31,420 +error of this estimate which is s over root n + +499 +00:39:31,420 --> 00:39:37,520 +that's before Now we are talking about confidence + +500 +00:39:37,520 --> 00:39:48,560 +interval for mu1 minus mu2. Now my point estimate + +501 +00:39:48,560 --> 00:39:55,580 +of this difference is x1 bar minus x2 bar, plus or + +502 +00:39:55,580 --> 00:40:03,670 +minus. Critical value is T alpha over 2. since + +503 +00:40:03,670 --> 00:40:07,550 +sigma's are unknown times the standard error of + +504 +00:40:07,550 --> 00:40:14,910 +the estimate this value square root one over n one + +505 +00:40:14,910 --> 00:40:20,650 +plus one over n one this is your confidence + +506 +00:40:20,650 --> 00:40:26,390 +interval by the way this statistic as T + +507 +00:40:26,390 --> 00:40:30,910 +distribution with degrees of freedom equals N1 + +508 +00:40:30,910 --> 00:40:35,290 +plus N2 minus 2. Because for one population, when + +509 +00:40:35,290 --> 00:40:38,210 +we have one sample, your degrees of freedom is N + +510 +00:40:38,210 --> 00:40:41,730 +minus 1. If we have two populations and we + +511 +00:40:41,730 --> 00:40:44,950 +selected two random samples, your degrees of + +512 +00:40:44,950 --> 00:40:51,160 +freedom Is n1 plus minus 1 plus n2 minus 1. So at + +513 +00:40:51,160 --> 00:40:55,260 +least should be n1 plus n2 minus 2. So this + +514 +00:40:55,260 --> 00:40:59,780 +statistic has T distribution with degrees of + +515 +00:40:59,780 --> 00:41:04,260 +freedom n1 plus n2 minus 2. This is only if we + +516 +00:41:04,260 --> 00:41:09,860 +assume variances unknown, but they are equal. In + +517 +00:41:09,860 --> 00:41:12,760 +this case, your degrees of freedom, n1 plus n2 + +518 +00:41:12,760 --> 00:41:17,790 +minus 2. So that's for the testing and the + +519 +00:41:17,790 --> 00:41:21,370 +confidence interval approach. So if sigma's + +520 +00:41:21,370 --> 00:41:23,370 +unknown and they are equal, your confidence + +521 +00:41:23,370 --> 00:41:27,610 +interval is x1 bar minus x2 bar plus or minus z + +522 +00:41:27,610 --> 00:41:30,590 +alpha over two square root. That's going to be + +523 +00:41:30,590 --> 00:41:34,250 +multiplied by one over one plus one over one. If + +524 +00:41:34,250 --> 00:41:41,610 +we are talking about confidence for mu2 minus mu1, + +525 +00:41:42,650 --> 00:41:48,410 +We should have here x2 bar minus x1 bar plus or + +526 +00:41:48,410 --> 00:41:53,710 +minus the same amount. Because both plus doesn't + +527 +00:41:53,710 --> 00:41:57,950 +change if we start with 1 over n2 plus 1 over n1. + +528 +00:41:58,750 --> 00:42:03,430 +But this one should be x2 bar minus x1 bar if we + +529 +00:42:03,430 --> 00:42:06,310 +are talking about confidence interval for the + +530 +00:42:06,310 --> 00:42:12,720 +difference mu2 minus mu1. And that's all. Any + +531 +00:42:12,720 --> 00:42:22,900 +question? In general, + +532 +00:42:23,560 --> 00:42:28,020 +x1 bar and x2 bar are not equal. Because if you + +533 +00:42:28,020 --> 00:42:30,140 +have two populations and you select two different + +534 +00:42:30,140 --> 00:42:34,660 +samples, it makes sense that the two means are not + +535 +00:42:34,660 --> 00:42:38,310 +equal. But if they are equal, it means your + +536 +00:42:38,310 --> 00:42:42,570 +statistic is zero. And that's never happened in + +537 +00:42:42,570 --> 00:42:45,610 +the real life. Maybe close to zero, but not + +538 +00:42:45,610 --> 00:42:49,150 +exactly zero. Let's look at one example. + +539 +00:43:00,650 --> 00:43:04,570 +A straightforward example. You are a financial + +540 +00:43:04,570 --> 00:43:09,960 +analyst. for brokerage fair. Is there a difference + +541 +00:43:09,960 --> 00:43:16,760 +in dividend yield between stock listed on the New + +542 +00:43:16,760 --> 00:43:20,840 +York Stock Exchange and Nasdaq? You collect the + +543 +00:43:20,840 --> 00:43:23,640 +following data. So we have two data for two + +544 +00:43:23,640 --> 00:43:28,940 +different stocks. One for New York Stock Exchange + +545 +00:43:28,940 --> 00:43:33,310 +and other for Nasdaq. We have a random sample of + +546 +00:43:33,310 --> 00:43:36,550 +size 21 from the first one with standard deviation + +547 +00:43:36,550 --> 00:43:42,690 +1.3 and sample mean 3.17. The other sample gives + +548 +00:43:42,690 --> 00:43:46,730 +the following results. The random sample size + +549 +00:43:46,730 --> 00:43:51,350 +equals 25 with mean 2.53 and standard deviation 1 + +550 +00:43:51,350 --> 00:43:56,880 +.16. So this is the information we have. Sample + +551 +00:43:56,880 --> 00:44:01,180 +sizes for both sample means and sample standard + +552 +00:44:01,180 --> 00:44:05,060 +deviations. So that means population variances are + +553 +00:44:05,060 --> 00:44:10,140 +unknown. Assuming both populations are + +554 +00:44:10,140 --> 00:44:12,920 +approximately normal. We have to assume they are + +555 +00:44:12,920 --> 00:44:18,370 +normal. Because the sample sizes are less than 30. + +556 +00:44:18,890 --> 00:44:22,210 +In this case, if they are smaller than 30 and the + +557 +00:44:22,210 --> 00:44:25,090 +populations are not normal, we cannot use the T + +558 +00:44:25,090 --> 00:44:30,370 +-satisfaction. T is used only if populations are + +559 +00:44:30,370 --> 00:44:34,100 +approximately normal, abnormal, or informal. But + +560 +00:44:34,100 --> 00:44:37,520 +in this case, the two sizes are smaller than 30, + +561 +00:44:37,780 --> 00:44:41,460 +so we have to assume both populations are normally + +562 +00:44:41,460 --> 00:44:44,080 +distributed or approximately normally distributed, + +563 +00:44:44,800 --> 00:44:49,800 +or we have to use another test. So we're assuming + +564 +00:44:49,800 --> 00:44:54,700 +both are normal with equal variances. The question + +565 +00:44:54,700 --> 00:45:00,040 +is, is there a difference in meaning? So there is + +566 +00:45:00,040 --> 00:45:03,600 +no direction. Is there a difference? That means we + +567 +00:45:03,600 --> 00:45:08,080 +are testing mu1 equals mu2 against mu1 does not + +568 +00:45:08,080 --> 00:45:13,320 +equal mu2. So the null hypothesis, the difference + +569 +00:45:13,320 --> 00:45:16,640 +between these two is zero because it asks about is + +570 +00:45:16,640 --> 00:45:20,740 +there a difference here. So we assume there is no + +571 +00:45:20,740 --> 00:45:23,400 +difference. It means mu1 equals mu2 under the null + +572 +00:45:23,400 --> 00:45:27,960 +hypothesis. Against the alternative hypothesis, + +573 +00:45:28,560 --> 00:45:32,440 +mu1 minus mu2 is not zero. That means mu1 does not + +574 +00:45:32,440 --> 00:45:36,340 +equal mu2. So either you state the null by using + +575 +00:45:36,340 --> 00:45:41,080 +this way, mu1 minus mu2 equals zero, or mu1 equals + +576 +00:45:41,080 --> 00:45:47,360 +mu2. Now, before computing the test statistic, we + +577 +00:45:47,360 --> 00:45:54,020 +have to compute S squared B. For S squared B, this + +578 +00:45:54,020 --> 00:46:00,540 +is the equation we have. Now, N1 is 21, so 21 + +579 +00:46:00,540 --> 00:46:05,020 +minus 1, times S1 squared. We have the sample + +580 +00:46:05,020 --> 00:46:08,780 +standard deviation of 1.3 for the first sample, so + +581 +00:46:08,780 --> 00:46:14,720 +this quantity squared, plus N2 was 25, minus 1 + +582 +00:46:14,720 --> 00:46:19,480 +times S2 squared, 1.16 squared, divided by N1 + +583 +00:46:19,480 --> 00:46:21,060 +minus 1 plus N2 minus 1. + +584 +00:46:24,120 --> 00:46:28,260 +The sample, I'm sorry, the bold sample variance, + +585 +00:46:29,040 --> 00:46:35,020 +which is about 1.5. Now, you, in this case, after + +586 +00:46:35,020 --> 00:46:38,910 +computing a square B, Easily you can compute the + +587 +00:46:38,910 --> 00:46:41,470 +value of the test statistic by using this + +588 +00:46:41,470 --> 00:46:46,210 +equation. Now x1 bar minus x2 bar, x1 bar is 3.17 + +589 +00:46:46,210 --> 00:46:52,590 +minus x2 bar is 2.53 minus. Here we should have + +590 +00:46:52,590 --> 00:47:00,070 +mu1 minus mu2. Now under x0 because the test + +591 +00:47:00,070 --> 00:47:06,140 +statistic is computed only if x0 is true. So, + +592 +00:47:06,700 --> 00:47:13,560 +always, always, always, + +593 +00:47:14,540 --> 00:47:26,040 +we compute T statistic under H0 is true, always. + +594 +00:47:27,460 --> 00:47:30,320 +Otherwise, we cannot compute T statistic. + +595 +00:47:33,760 --> 00:47:37,580 +The rule is to compute the value of the statistic + +596 +00:47:37,580 --> 00:47:42,980 +if H1 is true. Let's see what will happen. Now, if + +597 +00:47:42,980 --> 00:47:48,640 +H1 is true, H1 mu1 minus mu does not equal zero. + +598 +00:47:48,920 --> 00:47:51,880 +So what's the value here? You don't know. Because + +599 +00:47:51,880 --> 00:47:54,200 +this difference is not zero. So what's the value? + +600 +00:47:54,620 --> 00:47:57,900 +I don't know. So you cannot determine the value of + +601 +00:47:57,900 --> 00:48:02,240 +the statistic under H1. But under H0, here we are + +602 +00:48:02,240 --> 00:48:05,950 +assuming The difference is zero, so this statistic + +603 +00:48:05,950 --> 00:48:10,410 +can be computed only if the null hypothesis is + +604 +00:48:10,410 --> 00:48:12,690 +true, otherwise you cannot compute this value. + +605 +00:48:13,430 --> 00:48:17,310 +Make sense? So maybe true and false problem asks + +606 +00:48:17,310 --> 00:48:21,810 +about we compute this statistic under if zero is + +607 +00:48:21,810 --> 00:48:23,190 +true. It's correct statement. + +608 +00:48:26,210 --> 00:48:29,150 +In this case, we're assuming that the difference + +609 +00:48:29,150 --> 00:48:36,830 +is zero, so minus zero. In real cases, I'm sorry, + +610 +00:48:37,110 --> 00:48:40,790 +in most cases, we assume this difference is zero. + +611 +00:48:42,030 --> 00:48:45,110 +In some cases, it might be, for example, it's + +612 +00:48:45,110 --> 00:48:51,440 +three, for example, or one. One makes sense. So we + +613 +00:48:51,440 --> 00:48:54,600 +have to plug one instead of zero if the difference + +614 +00:48:54,600 --> 00:48:57,840 +is one. But here the difference is zero, so it + +615 +00:48:57,840 --> 00:49:01,880 +should be zero. So minus zero. Divide by S squared + +616 +00:49:01,880 --> 00:49:07,680 +B, this amount, multiplied by one over N1 plus one + +617 +00:49:07,680 --> 00:49:11,080 +over N2. So one over 21 plus one over 25. That + +618 +00:49:11,080 --> 00:49:15,380 +will give 2.04. So your T statistic in this case + +619 +00:49:15,380 --> 00:49:17,860 +is 2.04. + +620 +00:49:20,840 --> 00:49:24,740 +as we mentioned since we are talking about two + +621 +00:49:24,740 --> 00:49:26,980 +-tiered tests there are three different approaches + +622 +00:49:26,980 --> 00:49:31,080 +for testing one is school a critical value + +623 +00:49:31,080 --> 00:49:37,360 +approach the other one confidence interval and the + +624 +00:49:37,360 --> 00:49:40,380 +last one is b value approach so let's see two of + +625 +00:49:40,380 --> 00:49:47,260 +these critical value approach keep in mind your + +626 +00:49:47,260 --> 00:49:54,730 +test statistic is 2.04 now since it's two tailed + +627 +00:49:54,730 --> 00:50:00,970 +test so you have two rejection regions T alpha + +628 +00:50:00,970 --> 00:50:06,070 +over 2 with degrees of freedom n1 plus n2 minus 2 + +629 +00:50:06,070 --> 00:50:14,210 +n1 is 21 n2 is 25 so your degrees of freedom 21 + +630 +00:50:14,210 --> 00:50:16,730 +plus 25 minus 2 this will give + +631 +00:50:20,160 --> 00:50:27,120 +43 degrees of freedom is 43 now look at the t + +632 +00:50:27,120 --> 00:50:32,200 +table 25 + +633 +00:50:32,200 --> 00:50:36,060 +so + +634 +00:50:36,060 --> 00:50:41,680 +it's 25 minus 2 so that will give 44 now look at + +635 +00:50:41,680 --> 00:50:46,220 +the normal sorry t table for degrees of freedom 44 + +636 +00:50:47,300 --> 00:50:50,940 +under area to the right side of since we are + +637 +00:50:50,940 --> 00:50:55,100 +talking about alpha 5% so the area to the left to + +638 +00:50:55,100 --> 00:50:58,340 +the right 0 to 5 the area to the left is the same + +639 +00:50:58,340 --> 00:51:05,340 +so we are looking in the upper tail for 0.025 and + +640 +00:51:05,340 --> 00:51:14,100 +this amount is 2.0154 + +641 +00:51:16,700 --> 00:51:21,980 +So this point, 2.1054, the other is negative 2 + +642 +00:51:21,980 --> 00:51:22,960 +.104. + +643 +00:51:25,500 --> 00:51:29,540 +So we reject the null hypothesis if your T + +644 +00:51:29,540 --> 00:51:33,000 +statistics fall in this registration. I mean, if T + +645 +00:51:33,000 --> 00:51:36,940 +statistic greater than 2.01 or smaller than + +646 +00:51:36,940 --> 00:51:41,620 +negative 2.01. In this case, my statistic value is + +647 +00:51:41,620 --> 00:51:46,890 +2.04. This amount actually, fourth in this + +648 +00:51:46,890 --> 00:51:51,250 +rejection region, so we reject them. So since he's + +649 +00:51:51,250 --> 00:51:57,590 +statistical, he's 10. which is equal to 2.04, is + +650 +00:51:57,590 --> 00:52:04,150 +greater than 2.01, then we reject the null + +651 +00:52:04,150 --> 00:52:09,130 +hypothesis. So the decision is reject zero at 5% + +652 +00:52:09,130 --> 00:52:11,830 +level of confidence of significance. Your + +653 +00:52:11,830 --> 00:52:15,610 +conclusion, there is evidence of a difference in + +654 +00:52:15,610 --> 00:52:21,350 +means. That means the mean of your stock exchange + +655 +00:52:21,350 --> 00:52:22,870 +does not equal + +656 +00:52:27,230 --> 00:52:30,290 +So that's how can we use the critical value + +657 +00:52:30,290 --> 00:52:32,670 +approach in order for testing the null hypothesis. + +658 +00:52:34,610 --> 00:52:38,730 +Any question? So one more time. + +659 +00:52:48,600 --> 00:52:52,880 +In New York State, it's changed with this + +660 +00:52:52,880 --> 00:52:57,780 +information and for NASDAQ. And we're assuming + +661 +00:52:57,780 --> 00:53:02,200 +here populations are normally distributed because + +662 +00:53:02,200 --> 00:53:06,460 +the sample sizes are less than 13. And we assume + +663 +00:53:06,460 --> 00:53:11,120 +sigmas are known, but they are equal. So the null + +664 +00:53:11,120 --> 00:53:13,540 +hypothesis is mu 1 minus 2 equals 0. Again, this + +665 +00:53:13,540 --> 00:53:18,150 +is not zero. We have to compute the bold variance + +666 +00:53:18,150 --> 00:53:20,730 +first, then we can compute the value of the test + +667 +00:53:20,730 --> 00:53:25,410 +statistic. The value is 2.04. As we mentioned, + +668 +00:53:25,510 --> 00:53:28,330 +there are two, three approaches for doing this + +669 +00:53:28,330 --> 00:53:32,390 +test. One is called critical value approach. Now, + +670 +00:53:32,750 --> 00:53:37,530 +critical value is plus or minus T alpha over 2 + +671 +00:53:37,530 --> 00:53:41,270 +with degrees of freedom 44. By the T table, we got + +672 +00:53:41,270 --> 00:53:46,880 +this result. So the critical regions are above 2 + +673 +00:53:46,880 --> 00:53:52,000 +.01 or below minus 2.01. Now your statistic falls + +674 +00:53:52,000 --> 00:53:54,960 +in this rejection region. So we have to reject the + +675 +00:53:54,960 --> 00:53:57,860 +null hypothesis. So my conclusion is there is + +676 +00:53:57,860 --> 00:54:00,920 +sufficient evidence to support the alternative + +677 +00:54:00,920 --> 00:54:01,640 +hypothesis. + +678 +00:54:05,100 --> 00:54:10,280 +The other approach, confidence interval for mu1 + +679 +00:54:10,280 --> 00:54:14,190 +minus mu2. Again, the formula is, he asks about, + +680 +00:54:14,570 --> 00:54:18,450 +since we reject the null hypothesis, so this + +681 +00:54:18,450 --> 00:54:21,310 +hypothesis is false, I mean the difference is not + +682 +00:54:21,310 --> 00:54:27,630 +zero. Can we be 95% confident that the mean of New + +683 +00:54:27,630 --> 00:54:32,050 +York Stock Exchange is greater than or less than? + +684 +00:54:32,810 --> 00:54:37,530 +Let's see. Let's formulate or let's construct a + +685 +00:54:37,530 --> 00:54:40,910 +confidence interval for mu1 minus mu2. This is + +686 +00:54:40,910 --> 00:54:45,790 +your formula. So x1 bar minus x2 bar, if you go + +687 +00:54:45,790 --> 00:54:49,770 +back a little bit to these two values, x1 bar is 3 + +688 +00:54:49,770 --> 00:54:59,000 +.27 minus x2 bar is 2.53. The difference is this + +689 +00:54:59,000 --> 00:55:04,060 +amount, 0.74, plus or minus T alpha over 2, the + +690 +00:55:04,060 --> 00:55:07,580 +critical value we have here, so plus or minus this + +691 +00:55:07,580 --> 00:55:12,940 +amount, times the standard error of this estimate, + +692 +00:55:14,240 --> 00:55:20,420 +you easily can compute this value by 0.3628, and + +693 +00:55:20,420 --> 00:55:24,360 +you will end with this interval. Now, this + +694 +00:55:24,360 --> 00:55:30,860 +interval means that We are 95% confident that the + +695 +00:55:30,860 --> 00:55:34,140 +difference between the two populations means fall + +696 +00:55:34,140 --> 00:55:37,960 +between these two values. Now the question is, + +697 +00:55:38,960 --> 00:55:44,260 +since we are testing mu1 minus mu2 equals zero, + +698 +00:55:46,140 --> 00:55:50,520 +does this interval contain zero or not? So the + +699 +00:55:50,520 --> 00:55:55,480 +question is, does your interval contain zero? + +700 +00:55:56,550 --> 00:56:01,010 +contains zero, zero star, this zero. Maybe it's + +701 +00:56:01,010 --> 00:56:05,310 +one, not zero, in this case it's zero. Now, this + +702 +00:56:05,310 --> 00:56:07,830 +interval, the lower bound is positive, the upper + +703 +00:56:07,830 --> 00:56:11,190 +bound is positive, it's also positive, so zero is + +704 +00:56:11,190 --> 00:56:17,510 +not inside the interval. So that means It's never + +705 +00:56:17,510 --> 00:56:21,190 +equal zero, so we reject the null hypothesis. So + +706 +00:56:21,190 --> 00:56:24,610 +since zero lies outside this interval, I mean the + +707 +00:56:24,610 --> 00:56:28,050 +confidence interval does not contain zero. That + +708 +00:56:28,050 --> 00:56:30,950 +means we have to reject the null hypothesis. So if + +709 +00:56:30,950 --> 00:56:36,750 +the rule of thumb is if the confidence interval, + +710 +00:56:37,590 --> 00:56:43,730 +in this case for mu1 minus mu2 contains zero. + +711 +00:56:48,110 --> 00:56:56,510 +then we don't reject we don't reject otherwise we + +712 +00:56:56,510 --> 00:57:01,810 +have to reject it's zero but be careful not always + +713 +00:57:01,810 --> 00:57:04,830 +zero here we are assuming the difference is zero + +714 +00:57:04,830 --> 00:57:08,010 +but the difference if the difference is one then + +715 +00:57:08,010 --> 00:57:12,310 +ask yourself is this interval contain one one but + +716 +00:57:12,310 --> 00:57:16,370 +in this case it's zero so the question is Is the + +717 +00:57:16,370 --> 00:57:20,390 +icon contains zero or not? Zero is outside, so we + +718 +00:57:20,390 --> 00:57:24,330 +reject analog icons. Now, do you think the mean of + +719 +00:57:24,330 --> 00:57:28,850 +New York stock is greater than Nasdaq or not? + +720 +00:57:30,990 --> 00:57:36,090 +Since the interval ends, I mean lower than other + +721 +00:57:36,090 --> 00:57:41,030 +bounds, are positive, Positive, positive, so that + +722 +00:57:41,030 --> 00:57:45,730 +means the mean 1 is greater than mean 2. So mean 1 + +723 +00:57:45,730 --> 00:57:49,350 +is means for New York is greater than the mean for + +724 +00:57:49,350 --> 00:57:52,830 +Ottawa. If the interval is negative, negative, + +725 +00:57:53,310 --> 00:57:57,850 +that means mean 1 is smaller than mean 2. If it's + +726 +00:57:57,850 --> 00:58:00,290 +positive, positive, then mean 1 is greater than. + +727 +00:58:00,610 --> 00:58:05,420 +If it's negative plus, then If the interval starts + +728 +00:58:05,420 --> 00:58:09,380 +from negative to positive, that means zero lies + +729 +00:58:09,380 --> 00:58:12,600 +inside the interval. So in this case, we don't + +730 +00:58:12,600 --> 00:58:17,400 +reject. So the only time we don't reject is zero. + +731 +00:58:18,830 --> 00:58:22,210 +The lower bound is negative and the upper bound is + +732 +00:58:22,210 --> 00:58:24,990 +positive. Because if you start for example from + +733 +00:58:24,990 --> 00:58:29,650 +minus one to two for example, in this case zero in + +734 +00:58:29,650 --> 00:58:32,030 +the interval, I mean the confidence interval + +735 +00:58:32,030 --> 00:58:35,990 +contains zero. In this case we don't reject. So + +736 +00:58:35,990 --> 00:58:39,770 +again, the only time you have to don't reject is + +737 +00:58:39,770 --> 00:58:42,990 +zero if the confidence starts from negative to + +738 +00:58:42,990 --> 00:58:46,590 +positive. Otherwise, you reject the null + +739 +00:58:46,590 --> 00:58:50,350 +hypothesis. So in this case, zero is less than the + +740 +00:58:50,350 --> 00:58:54,890 +entire interval, means outside the entire + +741 +00:58:54,890 --> 00:59:01,490 +interval. We can be 95% confident that the mean of + +742 +00:59:01,490 --> 00:59:03,870 +New York Stock Exchange is greater than the mean + +743 +00:59:03,870 --> 00:59:10,350 +of Big sense? Any questions? Next time we'll talk, + +744 +00:59:10,730 --> 00:59:12,810 +I will give the third approach, the B value + +745 +00:59:12,810 --> 00:59:17,270 +approach for conducting the hypothesis testing. + +746 +00:59:18,530 --> 00:59:22,210 +Any question? So that's all for today. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/_OR2C5YaRyM_raw.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/_OR2C5YaRyM_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..5c97ba7a9205db59ed81d1b33e6fdc8fa8b49877 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/_OR2C5YaRyM_raw.srt @@ -0,0 +1,2468 @@ +1 +00:00:07,000 --> 00:00:12,340 +So again a point estimate is just a single number + +2 +00:00:12,340 --> 00:00:18,080 +or just a value. For the interval estimation in + +3 +00:00:18,080 --> 00:00:21,400 +this case you have more information than using a + +4 +00:00:21,400 --> 00:00:24,200 +point estimate. So confidence interval provides + +5 +00:00:24,200 --> 00:00:27,800 +additional information about the spread of the or + +6 +00:00:27,800 --> 00:00:31,240 +the variability of the estimate. As I mentioned + +7 +00:00:31,240 --> 00:00:35,210 +before There are two parameters of interest in + +8 +00:00:35,210 --> 00:00:38,010 +this chapter. The first one is the population mean + +9 +00:00:38,010 --> 00:00:42,110 +mu. In this case, we can estimate the population + +10 +00:00:42,110 --> 00:00:47,850 +mean mu by using the sample mean x bar. The other + +11 +00:00:47,850 --> 00:00:51,650 +parameter is the proportion. The population + +12 +00:00:51,650 --> 00:00:55,850 +proportion is pi. And the point estimates P. So P + +13 +00:00:55,850 --> 00:00:58,410 +is a point estimate of the population proportion + +14 +00:00:58,410 --> 00:01:04,030 +pi. So again, this chapter talks about confidence + +15 +00:01:04,030 --> 00:01:08,630 +interval estimation. And as we mentioned that + +16 +00:01:08,630 --> 00:01:10,790 +there are two types of estimation. One is called + +17 +00:01:10,790 --> 00:01:17,810 +point estimation. And for example, the average or + +18 +00:01:17,810 --> 00:01:22,070 +the mean of age is 18 years. So 18 is the point + +19 +00:01:22,070 --> 00:01:26,750 +estimate. On the other hand, the other type of the + +20 +00:01:26,750 --> 00:01:29,690 +confidence is the confidence interval estimation. + +21 +00:01:30,810 --> 00:01:33,790 +So rather than saying that the average is 18 + +22 +00:01:33,790 --> 00:01:39,270 +years, you could say that we are 95% sure that the + +23 +00:01:39,270 --> 00:01:46,510 +average of student ages range between 17 up to 19 + +24 +00:01:46,510 --> 00:01:49,390 +years. And again, the confidence interval gives + +25 +00:01:49,390 --> 00:01:53,550 +more information about the variability of the + +26 +00:01:53,550 --> 00:01:56,710 +data. And again, there are two types of parameters + +27 +00:01:56,710 --> 00:01:58,910 +we are interested in. One is called the population + +28 +00:01:58,910 --> 00:02:02,050 +mean, and the point estimate is the sample mean. + +29 +00:02:03,070 --> 00:02:05,650 +The other parameter is the population of a portion + +30 +00:02:05,650 --> 00:02:09,310 +of Y, and the point estimate is P. + +31 +00:02:13,250 --> 00:02:16,830 +So again, An interval estimate provides more + +32 +00:02:16,830 --> 00:02:20,490 +information about a population characteristic than + +33 +00:02:20,490 --> 00:02:23,210 +does a point estimate. Because if you go back a + +34 +00:02:23,210 --> 00:02:25,510 +little bit to the previous example, here we + +35 +00:02:25,510 --> 00:02:28,650 +calculated the sample mean to be with just one + +36 +00:02:28,650 --> 00:02:31,050 +point. So the average of your reagents is 18 + +37 +00:02:31,050 --> 00:02:36,590 +years. But the other one, I am sure that for 95% + +38 +00:02:36,590 --> 00:02:40,710 +that your ages range between, for example, 17 and + +39 +00:02:40,710 --> 00:02:43,230 +19. So in this case, we have more information. + +40 +00:02:43,870 --> 00:02:46,190 +Such interval estimates are called confidence + +41 +00:02:46,190 --> 00:02:49,470 +intervals. And we are going to use this notation, + +42 +00:02:49,670 --> 00:02:56,750 +CI. CI stands for confidence interval estimation. + +43 +00:03:02,350 --> 00:03:05,810 +An interval gives a range of values, because here + +44 +00:03:05,810 --> 00:03:09,910 +we have a range from, for example, 17 up to 19. In + +45 +00:03:09,910 --> 00:03:12,750 +this case, this interval takes into consideration + +46 +00:03:12,750 --> 00:03:15,930 +variation in samples that intersects from sample + +47 +00:03:15,930 --> 00:03:19,610 +to sample. For example, suppose we have a huge + +48 +00:03:19,610 --> 00:03:22,330 +population, and from that huge population, we + +49 +00:03:22,330 --> 00:03:27,430 +select many samples of the same size. Maybe the + +50 +00:03:27,430 --> 00:03:32,790 +first sample, for example, of size 15. gives + +51 +00:03:32,790 --> 00:03:37,170 +average of 17. + +52 +00:03:38,930 --> 00:03:43,470 +Maybe another sample of the same size might give + +53 +00:03:43,470 --> 00:03:49,330 +different sample mean, 18 and so on. Suppose we + +54 +00:03:49,330 --> 00:03:54,770 +select 100 samples. So here we have different + +55 +00:03:54,770 --> 00:03:59,450 +sample means. For sure we should have different + +56 +00:04:01,140 --> 00:04:06,580 +confidence intervals. Maybe the first one starts + +57 +00:04:06,580 --> 00:04:10,500 +from 16 to 18, the other one maybe 15 to 17 and so + +58 +00:04:10,500 --> 00:04:14,320 +on. So the confidence interval takes into + +59 +00:04:14,320 --> 00:04:17,420 +consideration variation in sample statistics from + +60 +00:04:17,420 --> 00:04:20,820 +sample to sample. But the confidence interval we + +61 +00:04:20,820 --> 00:04:27,020 +have to construct based on observations just from + +62 +00:04:27,020 --> 00:04:30,940 +one sample. I mean, you don't need to select too + +63 +00:04:30,940 --> 00:04:33,920 +many random samples in order to construct a + +64 +00:04:33,920 --> 00:04:36,920 +confidence interval. Just select one sample, one + +65 +00:04:36,920 --> 00:04:39,800 +random sample, and from that sample, we can + +66 +00:04:39,800 --> 00:04:44,580 +construct a confidence interval. So my confidence + +67 +00:04:44,580 --> 00:04:50,120 +interval can be constructed by using only one + +68 +00:04:50,120 --> 00:04:53,860 +simple sample. From that sample, we can compute + +69 +00:04:53,860 --> 00:04:59,770 +the average. Now, this interval gives information + +70 +00:04:59,770 --> 00:05:02,990 +about closeness to unknown population parameters. + +71 +00:05:03,490 --> 00:05:08,530 +For example, when we are saying weights range + +72 +00:05:08,530 --> 00:05:13,650 +between, for example, 60 kilogram up to 80, and + +73 +00:05:13,650 --> 00:05:19,530 +you are sure about 90%. So that means the average + +74 +00:05:19,530 --> 00:05:27,430 +weight range between 60 to 80. That means the true + +75 +00:05:27,430 --> 00:05:34,190 +parameter mu is close to these values. So it's + +76 +00:05:34,190 --> 00:05:36,930 +between 6 to 80. Now suppose in this case I am + +77 +00:05:36,930 --> 00:05:45,570 +interested in 95%. Now suppose someone else + +78 +00:05:45,570 --> 00:05:50,570 +interested in 99% confidence. So do you think the + +79 +00:05:50,570 --> 00:05:55,170 +confidence interval for more confident to be wider + +80 +00:05:55,170 --> 00:06:01,770 +or narrower. As the confidence gets larger or + +81 +00:06:01,770 --> 00:06:08,230 +bigger, the interval gets wider. So maybe from 55 + +82 +00:06:08,230 --> 00:06:15,370 +up to 85. Another example, suppose we are + +83 +00:06:15,370 --> 00:06:20,090 +interested in the age of students. + +84 +00:06:23,330 --> 00:06:30,430 +80% confident that your + +85 +00:06:30,430 --> 00:06:32,950 +age is between, or your weights, let's talk about + +86 +00:06:32,950 --> 00:06:41,370 +weights, between 70 up to 75 kilograms, 80%. 90% + +87 +00:06:41,370 --> 00:06:51,410 +could be 60 to 80 kilograms, or 65, 75 kilograms + +88 +00:06:51,410 --> 00:06:57,950 +to 80 kilograms. 95%, for example, 60, for + +89 +00:06:57,950 --> 00:07:08,130 +example, 60 to 85, 99% from 58 up to 90. Which one + +90 +00:07:08,130 --> 00:07:10,730 +is best? Which is the best confidence interval + +91 +00:07:10,730 --> 00:07:16,470 +among all of these? To say that we are 80% at 70 + +92 +00:07:16,470 --> 00:07:25,760 +to 75, 65 to 80, 60 to 85, 85 to 90. Which one is + +93 +00:07:25,760 --> 00:07:32,160 +better? Now when we are saying from 70 to 75 it + +94 +00:07:32,160 --> 00:07:36,400 +means the interval width is smaller or maybe the + +95 +00:07:36,400 --> 00:07:40,040 +smallest among the others. So this one is the best + +96 +00:07:40,040 --> 00:07:42,860 +confidence interval because the error here is just + +97 +00:07:42,860 --> 00:07:47,930 +5. Now here you can expect your weight. But for + +98 +00:07:47,930 --> 00:07:50,950 +the other scenarios here, it's very hard to say. + +99 +00:07:51,070 --> 00:07:54,690 +Now suppose I am saying that your score in + +100 +00:07:54,690 --> 00:07:59,110 +statistics is between 40 up to 100. + +101 +00:08:06,970 --> 00:08:15,170 +It's too large. Suppose I am saying that with I am + +102 +00:08:15,170 --> 00:08:23,120 +sure. with 99.7% that your score in statistics + +103 +00:08:23,120 --> 00:08:30,180 +lies between 50 to + +104 +00:08:30,180 --> 00:08:34,620 +100. And my question is, can you expect your + +105 +00:08:34,620 --> 00:08:38,660 +score? It's very difficult because the range is + +106 +00:08:38,660 --> 00:08:44,630 +too long from 50 up to 100. Because here I am + +107 +00:08:44,630 --> 00:08:49,650 +maybe 99.7%, so I'm almost sure that your score is + +108 +00:08:49,650 --> 00:08:54,510 +between 50 and 100. But suppose someone else says + +109 +00:08:54,510 --> 00:08:58,890 +that I am 95% that your score ranges between 60 to + +110 +00:08:58,890 --> 00:09:01,850 +90. It's still large, but it's better than the + +111 +00:09:01,850 --> 00:09:09,430 +previous one. One else says I am 90% sure that + +112 +00:09:09,430 --> 00:09:15,620 +your score lies between 70 to 85. Another one + +113 +00:09:15,620 --> 00:09:22,000 +might be saying 85% of your score starts from 74 + +114 +00:09:22,000 --> 00:09:29,840 +up to 80. Now here the range is small, so I can + +115 +00:09:29,840 --> 00:09:35,280 +predict my scores just between 74 to 80. So we + +116 +00:09:35,280 --> 00:09:38,660 +like to have confidence interval to be small as + +117 +00:09:38,660 --> 00:09:43,380 +much as possible. So that's for the range. So in + +118 +00:09:43,380 --> 00:09:47,980 +this case, The true parameter is very close to one + +119 +00:09:47,980 --> 00:09:49,180 +of these values. + +120 +00:09:51,720 --> 00:09:55,200 +Always the confidence interval is stated in terms + +121 +00:09:55,200 --> 00:10:00,120 +of level of confidence. The common ones are either + +122 +00:10:00,120 --> 00:10:05,760 +90%, 95 + +123 +00:10:05,760 --> 00:10:11,550 +% or 99%. So these are the common levels of + +124 +00:10:11,550 --> 00:10:12,230 +confidence. + +125 +00:10:21,230 --> 00:10:23,510 +Next slide, Inshallah, will turn to the other + +126 +00:10:23,510 --> 00:10:25,910 +side. Now, for example, + +127 +00:10:38,570 --> 00:10:46,350 +For example, serial example, suppose we know that + +128 +00:10:46,350 --> 00:10:53,130 +the population mean mu is given to be 368 and + +129 +00:10:53,130 --> 00:10:56,610 +sigma is 15. Suppose we know the population mean + +130 +00:10:56,610 --> 00:11:00,030 +and the population summation. In reality, if these + +131 +00:11:00,030 --> 00:11:03,250 +two parameters are unknown, we don't need to + +132 +00:11:03,250 --> 00:11:06,140 +select a random sample. Because we are selecting + +133 +00:11:06,140 --> 00:11:08,800 +the samples in order to estimate these unknown + +134 +00:11:08,800 --> 00:11:11,960 +parameters. But this example is just for + +135 +00:11:11,960 --> 00:11:18,540 +illustration. So again, a mu in reality is not + +136 +00:11:18,540 --> 00:11:22,020 +given, is unknown, as well as the standard + +137 +00:11:22,020 --> 00:11:25,020 +deviation. But suppose from previous studies we + +138 +00:11:25,020 --> 00:11:30,450 +know that The population mean is given by 368, and + +139 +00:11:30,450 --> 00:11:33,350 +the standard deviation for the population is about + +140 +00:11:33,350 --> 00:11:37,110 +15. Suppose we know this information from the + +141 +00:11:37,110 --> 00:11:42,350 +history or from the previous studies. Now suppose + +142 +00:11:42,350 --> 00:11:46,190 +we take a random sample of size 25, and this + +143 +00:11:46,190 --> 00:11:52,670 +sample gives the following information. So here, + +144 +00:11:53,150 --> 00:12:00,480 +we have mean of 68 sigma of 15. And let's see how + +145 +00:12:00,480 --> 00:12:02,800 +can we construct the confidence interval as we + +146 +00:12:02,800 --> 00:12:07,000 +mentioned in the previous lectures. If you + +147 +00:12:07,000 --> 00:12:11,020 +remember the score, the x bar minus mu divided by + +148 +00:12:11,020 --> 00:12:16,620 +sigma over root n. In this case, let's see how can + +149 +00:12:16,620 --> 00:12:21,120 +we compute x bar from this equation. So z equals x + +150 +00:12:21,120 --> 00:12:23,340 +bar minus mu divided by sigma over root n, just + +151 +00:12:23,340 --> 00:12:26,840 +cross multiplication, you will get x bar to be mu + +152 +00:12:26,840 --> 00:12:32,000 +plus z sigma over root n. So this is the value of + +153 +00:12:32,000 --> 00:12:35,180 +x bar, mu plus z sigma over root n, just cross + +154 +00:12:35,180 --> 00:12:38,520 +multiplication. Now the value of z could be + +155 +00:12:38,520 --> 00:12:40,600 +positive or negative, it depends on the direction + +156 +00:12:40,600 --> 00:12:46,000 +of the z score you have. So if z score lies in the + +157 +00:12:46,000 --> 00:12:46,680 +left side, + +158 +00:12:50,290 --> 00:12:53,210 +The other one is positive. Because here we are + +159 +00:12:53,210 --> 00:12:55,590 +talking about confidence interval, ranges from + +160 +00:12:55,590 --> 00:12:59,430 +smallest value to the largest one. So z-score is + +161 +00:12:59,430 --> 00:13:04,150 +negative, so x-bar plus equals mu plus or minus z + +162 +00:13:04,150 --> 00:13:08,490 +-sigma over root. Now let's imagine that the + +163 +00:13:08,490 --> 00:13:14,250 +population mean is 368 and sigma is 15 and we + +164 +00:13:14,250 --> 00:13:18,350 +select a random sample of 15 I'm sorry of 25 let's + +165 +00:13:18,350 --> 00:13:22,210 +see the range or the values of x bar might be + +166 +00:13:22,210 --> 00:13:28,050 +taken so x bar equals 368 + +167 +00:13:28,050 --> 00:13:35,760 +plus or minus now for 95 percent The corresponding + +168 +00:13:35,760 --> 00:13:42,520 +z value is 1.96, if you remember that. And the + +169 +00:13:42,520 --> 00:13:45,320 +other one is negative or plus, it depends on the + +170 +00:13:45,320 --> 00:13:49,220 +direction of the z-scope. So plus or minus 1.96. + +171 +00:13:51,440 --> 00:13:56,120 +This value can be computed or found by using the + +172 +00:13:56,120 --> 00:14:02,700 +normal table. Times sigma 15 divided by root 25. + +173 +00:14:05,870 --> 00:14:13,430 +Just simple calculation will give 362, 373.8. Now, + +174 +00:14:14,270 --> 00:14:21,210 +this interval, which ranges from 362 up to 373, + +175 +00:14:21,650 --> 00:14:27,870 +contains 95% of the sample means. Suppose we have + +176 +00:14:27,870 --> 00:14:32,050 +100 sample means with different values, you can + +177 +00:14:32,050 --> 00:14:36,990 +say that 95% out of these 100. will contain the + +178 +00:14:36,990 --> 00:14:42,710 +same meaning. That if a Mu is given. But again, in + +179 +00:14:42,710 --> 00:14:47,490 +real life, you don't know the value of Mu. So when + +180 +00:14:47,490 --> 00:14:53,110 +you don't know Mu, you can use X bar to estimate + +181 +00:14:53,110 --> 00:14:59,110 +Mu. Now suppose on the other hand, here Mu is + +182 +00:14:59,110 --> 00:14:59,490 +unknown. + +183 +00:15:03,180 --> 00:15:08,360 +And we estimate mu by x bar, the sample mean. And + +184 +00:15:08,360 --> 00:15:14,480 +suppose the sample size 25 gives sample mean of + +185 +00:15:14,480 --> 00:15:21,940 +362.3. So this sample mean by using a sample size + +186 +00:15:21,940 --> 00:15:27,900 +of 25. Now let's see how can we construct the + +187 +00:15:27,900 --> 00:15:31,550 +confidence interval in this case. Now x bar is + +188 +00:15:31,550 --> 00:15:35,970 +given, so my interval should be mu equals x bar + +189 +00:15:35,970 --> 00:15:41,650 +plus or minus z sigma over root n. Just replace + +190 +00:15:41,650 --> 00:15:47,610 +this mu by x bar, you will get. So again, sample + +191 +00:15:47,610 --> 00:15:56,150 +of size 25 gives sample mean of 362.12. + +192 +00:15:56,610 --> 00:16:02,750 +plus or minus 196, sigma divided by root 25. This + +193 +00:16:02,750 --> 00:16:09,570 +interval could be new ranges between these two + +194 +00:16:09,570 --> 00:16:20,230 +values, 356 approximately, 0.42 up to the 68th + +195 +00:16:20,230 --> 00:16:26,080 +point. Now look at this interval. We know the true + +196 +00:16:26,080 --> 00:16:28,880 +mean equals 368. + +197 +00:16:32,240 --> 00:16:38,580 +We got this interval for x bar. Now if mu is not + +198 +00:16:38,580 --> 00:16:43,000 +given, is unknown, based on the sample we have of + +199 +00:16:43,000 --> 00:16:49,020 +size 25, we got x bar to be 362, and we got the + +200 +00:16:49,020 --> 00:16:56,100 +interval Four mu lies between 356 up to 368. So + +201 +00:16:56,100 --> 00:16:59,220 +this case, you can say that I am 95% sure that + +202 +00:16:59,220 --> 00:17:03,860 +this interval captures or contains the population + +203 +00:17:03,860 --> 00:17:06,980 +mean. But you don't know exactly if this interval + +204 +00:17:06,980 --> 00:17:10,340 +contains or not contain the population mean mu, + +205 +00:17:10,400 --> 00:17:15,100 +because mu is unknown. So the first scenario here, + +206 +00:17:16,060 --> 00:17:20,550 +if mu is given, is unknown. You can say that 95% + +207 +00:17:20,550 --> 00:17:28,610 +of the samples we have contain the sample means + +208 +00:17:28,610 --> 00:17:31,530 +that lie between these two values. But the + +209 +00:17:31,530 --> 00:17:35,590 +reality, as I mentioned before, mu is not given. + +210 +00:17:36,250 --> 00:17:40,250 +So we can take a random sample. And from that + +211 +00:17:40,250 --> 00:17:43,310 +sample, we can compute x bar. Then we can figure + +212 +00:17:43,310 --> 00:17:47,050 +out that mu ranges between these two values. But + +213 +00:17:47,050 --> 00:17:50,710 +here, you cannot say that this interval contains + +214 +00:17:50,710 --> 00:17:57,210 +MU 100%. But you can say that 95% of random + +215 +00:17:57,210 --> 00:18:03,910 +samples like this one will contain MU with 95%. So + +216 +00:18:03,910 --> 00:18:09,610 +that's the logic for the confidence interval. But + +217 +00:18:09,610 --> 00:18:14,450 +again, if we select many, many samples, We will + +218 +00:18:14,450 --> 00:18:21,170 +get different sample means, for sure. Now, suppose + +219 +00:18:21,170 --> 00:18:26,750 +I have 1000 students. I select, for example, 50 + +220 +00:18:26,750 --> 00:18:31,870 +samples, each one of size 30. Maybe the first + +221 +00:18:31,870 --> 00:18:38,010 +sample will give average of this value, 362. And I + +222 +00:18:38,010 --> 00:18:42,810 +will end with this confidence limits, lower limit + +223 +00:18:42,810 --> 00:18:51,270 +356, upper limit 368. I know that from previous + +224 +00:18:51,270 --> 00:18:56,630 +studies that the population means 368. So just ask + +225 +00:18:56,630 --> 00:19:00,530 +this question, does this interval containing + +226 +00:19:02,980 --> 00:19:09,220 +The range from 356 up to 368.13 covers mu. So in + +227 +00:19:09,220 --> 00:19:14,280 +this case, this interval continues. Maybe someone + +228 +00:19:14,280 --> 00:19:19,200 +select another sample of the same size, and that + +229 +00:19:19,200 --> 00:19:25,870 +sample gives sample mean of 369.5. By using this + +230 +00:19:25,870 --> 00:19:29,510 +equation, you can figure out lower limits and + +231 +00:19:29,510 --> 00:19:32,950 +upper limits. Now, again, I ask you still this + +232 +00:19:32,950 --> 00:19:36,670 +question. Does this interval contain a mu? The + +233 +00:19:36,670 --> 00:19:39,890 +answer is yes, because 368 lies between these two + +234 +00:19:39,890 --> 00:19:43,450 +values. So the first one contains a mu. The second + +235 +00:19:43,450 --> 00:19:47,010 +one contains mu. Look at the third symbol. Suppose + +236 +00:19:47,010 --> 00:19:51,210 +from my symbol, I got symbol mu to be 360. So + +237 +00:19:51,210 --> 00:19:57,240 +lower and upper limits are? 354 and upper limit + +238 +00:19:57,240 --> 00:20:06,640 +365.88 now this value 368 is outside of this + +239 +00:20:06,640 --> 00:20:11,040 +interval so maybe your interval will continue mu + +240 +00:20:11,040 --> 00:20:14,240 +or will not continue mu but you don't know + +241 +00:20:14,240 --> 00:20:17,980 +actually the value of mu so in this case you + +242 +00:20:17,980 --> 00:20:22,400 +cannot say my interval will continue mu But here, + +243 +00:20:22,460 --> 00:20:25,720 +if we know mu, you can say that this interval + +244 +00:20:25,720 --> 00:20:29,860 +contains mu, or the other one does not contain mu. + +245 +00:20:30,820 --> 00:20:35,120 +But in the real world, you don't know the value of + +246 +00:20:35,120 --> 00:20:40,060 +mu. So mu is unknown. But you can say that I am 95 + +247 +00:20:40,060 --> 00:20:45,220 +% sure that this interval will continue. Make + +248 +00:20:45,220 --> 00:20:48,260 +sense? Based on the x dot? Based on the sample + +249 +00:20:48,260 --> 00:20:54,870 +mean. And the other information we have. sigma and + +250 +00:20:54,870 --> 00:20:55,170 +N. + +251 +00:20:58,610 --> 00:21:03,310 +Again, in practice, you only take one sample of + +252 +00:21:03,310 --> 00:21:05,290 +size N, so you don't need to take many, many + +253 +00:21:05,290 --> 00:21:08,750 +samples, just take one sample. In practice, you + +254 +00:21:08,750 --> 00:21:13,150 +don't know Mu, so you don't know if the interval + +255 +00:21:13,150 --> 00:21:14,690 +actually contains Mu. + +256 +00:21:18,890 --> 00:21:23,640 +However, you do know that 95% of the intervals + +257 +00:21:23,640 --> 00:21:27,460 +formed in this manner will contain mu. So again, + +258 +00:21:28,500 --> 00:21:31,220 +any interval can be constructed in this chapter + +259 +00:21:31,220 --> 00:21:37,500 +one of these. You cannot say that this interval + +260 +00:21:37,500 --> 00:21:42,460 +contains mu. You have to say that 95% of the + +261 +00:21:42,460 --> 00:21:46,360 +intervals formed in this way will capture the + +262 +00:21:46,360 --> 00:21:47,780 +population parameter mu. + +263 +00:21:51,490 --> 00:21:57,070 +Another one, thus based on one sample, you + +264 +00:21:57,070 --> 00:22:02,190 +actually selected you can be 95% confident your + +265 +00:22:02,190 --> 00:22:06,240 +interval will continue. So again, this interval + +266 +00:22:06,240 --> 00:22:12,820 +might be or might not cover Mu. Since I don't know + +267 +00:22:12,820 --> 00:22:16,000 +the value of Mu, I cannot say that this interval + +268 +00:22:16,000 --> 00:22:20,440 +will continue Mu. But you can say that 95% of the + +269 +00:22:20,440 --> 00:22:24,880 +intervals constructed in this way will continue + +270 +00:22:24,880 --> 00:22:28,800 +Mu. That's the interpretation of the confidence + +271 +00:22:28,800 --> 00:22:29,300 +interval. + +272 +00:22:32,180 --> 00:22:38,000 +99, 95, whatever it is. Now, the process of the + +273 +00:22:38,000 --> 00:22:43,960 +estimation is, we have a huge population, and + +274 +00:22:43,960 --> 00:22:47,420 +suppose we are interested in the population mean + +275 +00:22:47,420 --> 00:22:54,700 +mu, and mu is not given or is unknown. We may + +276 +00:22:54,700 --> 00:22:58,460 +select a random sample from this population with + +277 +00:22:58,460 --> 00:23:03,140 +any size. From this sample, we can compute the + +278 +00:23:03,140 --> 00:23:07,520 +average or the mean. Then after that, we can + +279 +00:23:07,520 --> 00:23:10,920 +construct the confidence sample. For example, + +280 +00:23:11,080 --> 00:23:15,420 +maybe I'm saying that I am 95% confident that mu + +281 +00:23:15,420 --> 00:23:19,580 +is between 4 and 16. So the process of estimation, + +282 +00:23:20,020 --> 00:23:22,980 +select a random sample from your population. This + +283 +00:23:22,980 --> 00:23:25,680 +sample should be representative in order to + +284 +00:23:25,680 --> 00:23:27,880 +generalize your results. Otherwise, you cannot do + +285 +00:23:27,880 --> 00:23:32,630 +that. So this sample should be representative. And + +286 +00:23:32,630 --> 00:23:36,370 +we, in chapter seven, we discussed four types of + +287 +00:23:36,370 --> 00:23:39,210 +probability sampling techniques. Simple random + +288 +00:23:39,210 --> 00:23:46,330 +samples, systematic, cluster, and stratified. So + +289 +00:23:46,330 --> 00:23:48,490 +by using this sample, we can compute, for example, + +290 +00:23:48,610 --> 00:23:51,750 +the sample mean. Then after that, I will show how + +291 +00:23:51,750 --> 00:23:56,470 +can we do or construct or build the confidence + +292 +00:23:56,470 --> 00:24:02,140 +interval. So this is the estimation process. Now, + +293 +00:24:02,620 --> 00:24:06,120 +the general formula for all confidence intervals + +294 +00:24:06,120 --> 00:24:07,340 +is, + +295 +00:24:10,120 --> 00:24:12,940 +the general formula has mainly three components, + +296 +00:24:14,060 --> 00:24:20,980 +point estimate, plus or minus, critical value, + +297 +00:24:22,080 --> 00:24:25,480 +times standard error. Let's see the definition for + +298 +00:24:25,480 --> 00:24:30,960 +each component. The first one, point estimate. is + +299 +00:24:30,960 --> 00:24:33,880 +the sample statistic estimating this population + +300 +00:24:33,880 --> 00:24:36,920 +parameter of interest. For example, if you go back + +301 +00:24:36,920 --> 00:24:45,040 +to the previous age example, and suppose X bar is + +302 +00:24:45,040 --> 00:24:50,940 +18. So you can say that the point estimate, since + +303 +00:24:50,940 --> 00:24:55,820 +18 is the sample mean, and we are interested in + +304 +00:24:55,820 --> 00:25:03,850 +the population mean, so 18 is a point estimate + +305 +00:25:03,850 --> 00:25:10,270 +for mu. This is the first one, this is the first + +306 +00:25:10,270 --> 00:25:13,250 +component. So a point estimate is the simplest + +307 +00:25:13,250 --> 00:25:15,370 +statistic, x bar is the simplest statistic. + +308 +00:25:16,570 --> 00:25:19,010 +Estimating the population parameter of interest, I + +309 +00:25:19,010 --> 00:25:22,450 +am interested suppose in the population mean, mu. + +310 +00:25:24,750 --> 00:25:26,070 +So we have estimate. + +311 +00:25:29,450 --> 00:25:32,530 +A plus or minus, a critical value. The critical + +312 +00:25:32,530 --> 00:25:36,590 +value here is a table value. That means we have to + +313 +00:25:36,590 --> 00:25:40,390 +go back to the normal table again, the one we had + +314 +00:25:40,390 --> 00:25:44,190 +discussed in Chapter 6. A critical value is a + +315 +00:25:44,190 --> 00:25:47,470 +table value based on the sampling distribution in + +316 +00:25:47,470 --> 00:25:50,750 +Chapter 7 of the point estimate and the desired + +317 +00:25:50,750 --> 00:25:55,430 +confidence interval. For example, let's talk about + +318 +00:25:55,430 --> 00:25:58,110 +again 90%. + +319 +00:26:02,680 --> 00:26:08,380 +Confidence is in this case. This area represents + +320 +00:26:08,380 --> 00:26:13,460 +90%. The area from lower limit to upper limit in + +321 +00:26:13,460 --> 00:26:18,580 +this area. Now again by symmetric distribution we + +322 +00:26:18,580 --> 00:26:23,720 +know that the remaining 10% is split into two + +323 +00:26:23,720 --> 00:26:29,670 +halves. 5% to the right and 5% to the left. Now + +324 +00:26:29,670 --> 00:26:33,330 +the critical value in this case is the Z-score. + +325 +00:26:35,210 --> 00:26:37,450 +Now by using the normal table, the standardized + +326 +00:26:37,450 --> 00:26:41,290 +normal table, you can figure out Z in this case is + +327 +00:26:41,290 --> 00:26:47,510 +negative. Look at the table. Look at 5%. + +328 +00:26:57,940 --> 00:27:03,560 +The value is minus 1.645, the other one is 1.645. + +329 +00:27:07,060 --> 00:27:11,460 +So that's the critical value, plus or minus a + +330 +00:27:11,460 --> 00:27:15,980 +critical value. Again, the table, if you are + +331 +00:27:15,980 --> 00:27:16,560 +looking at + +332 +00:27:28,430 --> 00:27:38,070 +You will get this value. Minus 1.6 under 4, under + +333 +00:27:38,070 --> 00:27:41,910 +5. Here we have 0045, + +334 +00:27:42,770 --> 00:27:45,750 +0055. + +335 +00:27:47,590 --> 00:27:53,030 +We have the chip. Again look at the angle of this + +336 +00:27:53,030 --> 00:27:53,270 +one. + +337 +00:28:07,280 --> 00:28:09,480 +05, 05. + +338 +00:28:36,870 --> 00:28:40,330 +So again, minus 1.6 under 4. + +339 +00:28:44,250 --> 00:28:45,230 +0505. + +340 +00:29:04,750 --> 00:29:08,970 +So your answer could be either one of these + +341 +00:29:08,970 --> 00:29:10,710 +negative one point + +342 +00:29:16,450 --> 00:29:26,670 +So in this case your z score minus 1.64 or minus 1 + +343 +00:29:26,670 --> 00:29:33,930 +.65 or the average of these two values minus 1 + +344 +00:29:33,930 --> 00:29:40,780 +.645. It's better to use this one. So for 90%, 5% + +345 +00:29:40,780 --> 00:29:43,980 +to the right, 5% to the left, just use the normal + +346 +00:29:43,980 --> 00:29:46,660 +table, you will get these two values. So this is + +347 +00:29:46,660 --> 00:29:48,600 +the critical value. Time. + +348 +00:29:52,820 --> 00:29:55,900 +The standard error means the standard deviation of + +349 +00:29:55,900 --> 00:29:56,740 +the point estimate. + +350 +00:30:00,900 --> 00:30:04,020 +So the general formula for all confidence + +351 +00:30:04,020 --> 00:30:06,840 +intervals is given by this equation. Point + +352 +00:30:06,840 --> 00:30:11,730 +estimate. a plus or minus critical value times + +353 +00:30:11,730 --> 00:30:15,030 +standard error. For example, point estimate is x4, + +354 +00:30:16,050 --> 00:30:20,110 +the critical value is z-score, times the standard + +355 +00:30:20,110 --> 00:30:25,890 +error of the point estimate. So times this SE is + +356 +00:30:25,890 --> 00:30:29,470 +the standard error of the estimate. So these are + +357 +00:30:29,470 --> 00:30:33,250 +the three components in order to build any + +358 +00:30:33,250 --> 00:30:38,360 +confidence interval. Another definition here, The + +359 +00:30:38,360 --> 00:30:43,840 +confidence level. The confidence level that the + +360 +00:30:43,840 --> 00:30:46,680 +interval will contain the unknown population + +361 +00:30:46,680 --> 00:30:55,360 +parameter. For example, we can say 90%, 95%, 99%. + +362 +00:30:55,360 --> 00:31:02,620 +You never say 100%. So usually, the confidence + +363 +00:31:02,620 --> 00:31:07,560 +level is a percentage that is less than 100%. + +364 +00:31:13,240 --> 00:31:17,360 +Now, for example, suppose the confidence level is + +365 +00:31:17,360 --> 00:31:31,100 +95. This 95 can be written as 1 minus alpha equals + +366 +00:31:31,100 --> 00:31:36,600 +95 percent. That means the confidence here is 95 + +367 +00:31:36,600 --> 00:31:43,720 +percent, so the error Or alpha is 5%. So if the + +368 +00:31:43,720 --> 00:31:47,820 +confidence level is 90%, it means the error is + +369 +00:31:47,820 --> 00:31:51,200 +10%. It is 90. + +370 +00:31:54,420 --> 00:32:00,780 +So alpha is 10% and so on. So a relative frequency + +371 +00:32:00,780 --> 00:32:05,100 +interpretation in this case, you can see that 95% + +372 +00:32:07,560 --> 00:32:10,200 +Of all the confidence interval that can be + +373 +00:32:10,200 --> 00:32:12,340 +constructed will contain the unknown true + +374 +00:32:12,340 --> 00:32:17,740 +parameter. A specific interval either will contain + +375 +00:32:17,740 --> 00:32:20,140 +or will not contain the true parameter as we + +376 +00:32:20,140 --> 00:32:23,120 +mentioned. So if you have confidence interval with + +377 +00:32:23,120 --> 00:32:26,980 +confidence level 95%, this interval might be or + +378 +00:32:26,980 --> 00:32:31,740 +might not contain the true parameter. So you are + +379 +00:32:31,740 --> 00:32:37,140 +not sure 100% that the true parameter will contain + +380 +00:32:37,500 --> 00:32:39,860 +in the confidence interval. + +381 +00:32:41,720 --> 00:32:44,560 +So for this chapter, we are going to talk about + +382 +00:32:44,560 --> 00:32:52,020 +confidence intervals for population mean and + +383 +00:32:52,020 --> 00:32:54,940 +population proportion. For population mean, we + +384 +00:32:54,940 --> 00:32:58,600 +will have two cases, when sigma is known and sigma + +385 +00:32:58,600 --> 00:33:04,720 +is unknown. Now let's start with the confidence + +386 +00:33:04,720 --> 00:33:10,350 +interval for immune when sigma is given. But + +387 +00:33:10,350 --> 00:33:15,850 +again, if a mu is unknown, here we are talking + +388 +00:33:15,850 --> 00:33:19,390 +about confidence interval for mu. + +389 +00:33:22,650 --> 00:33:26,770 +Since we are talking about estimating a mu, that + +390 +00:33:26,770 --> 00:33:30,110 +means a mu is unknown. + +391 +00:33:33,190 --> 00:33:36,270 +Now the first case here we are talking about sigma + +392 +00:33:36,270 --> 00:33:37,470 +is unknown, is known. + +393 +00:33:41,990 --> 00:33:45,550 +But we know that from chapter three that sigma + +394 +00:33:45,550 --> 00:33:50,230 +square root sum x minus mu squared divided by + +395 +00:33:50,230 --> 00:33:57,970 +capital N. So in order to compute sigma, we have + +396 +00:33:57,970 --> 00:34:02,310 +to know Mu first, otherwise you cannot compute + +397 +00:34:02,310 --> 00:34:09,070 +Sigma. So how can you say that Mu is unknown and + +398 +00:34:09,070 --> 00:34:14,570 +Sigma is given or is known? So Mu should be + +399 +00:34:14,570 --> 00:34:20,790 +unknown. Or Sigma is unknown. So Sigma is known + +400 +00:34:20,790 --> 00:34:25,650 +has a big question mark. Because if Sigma is + +401 +00:34:25,650 --> 00:34:30,310 +known, that means Mu should be known. If µ is + +402 +00:34:30,310 --> 00:34:33,310 +known, you don't need to select a random sample to + +403 +00:34:33,310 --> 00:34:38,490 +estimate µ. Make sense? I know the value of µ. So + +404 +00:34:38,490 --> 00:34:42,010 +what's the goal of selecting a random sample in + +405 +00:34:42,010 --> 00:34:46,770 +order to estimate µ? You are saying sigma is + +406 +00:34:46,770 --> 00:34:51,070 +given. That means µ is given or µ is known. + +407 +00:34:54,050 --> 00:34:57,810 +What's the benefit of selecting a random sample in + +408 +00:34:57,810 --> 00:35:01,610 +order to estimate something is known? Always we + +409 +00:35:01,610 --> 00:35:06,810 +estimate unknown parameter. But here, the reason + +410 +00:35:06,810 --> 00:35:09,990 +why we are talking about sigma is given sometimes + +411 +00:35:09,990 --> 00:35:15,650 +from previous studies. Sigma could be given, but + +412 +00:35:15,650 --> 00:35:19,710 +we don't know the exact value of a mu. So we are + +413 +00:35:19,710 --> 00:35:24,660 +interested to estimate the population mean mu. So + +414 +00:35:24,660 --> 00:35:27,580 +it might be mu is unknown, but from previous + +415 +00:35:27,580 --> 00:35:31,500 +studies or from the history we have, maybe we know + +416 +00:35:31,500 --> 00:35:35,980 +the value of sigma. But in real life, most likely + +417 +00:35:35,980 --> 00:35:41,720 +sigma is unknown. That will be discussed next + +418 +00:35:41,720 --> 00:35:44,940 +time, inshallah. So here we'll discuss just the + +419 +00:35:44,940 --> 00:35:47,900 +confidence interval for mu when sigma is not + +420 +00:35:47,900 --> 00:35:52,380 +known. But again, if Sigma is known, a Mu should + +421 +00:35:52,380 --> 00:35:56,140 +be known. Otherwise, we cannot compute Sigma. But + +422 +00:35:56,140 --> 00:35:58,460 +here, when we are talking about Sigma is known, it + +423 +00:35:58,460 --> 00:36:01,520 +means we know from previous studies that Sigma is + +424 +00:36:01,520 --> 00:36:03,620 +given. Any question? + +425 +00:36:07,200 --> 00:36:12,420 +Okay, so the assumptions for the first case are + +426 +00:36:12,420 --> 00:36:17,460 +mainly there are two assumptions. Number one, + +427 +00:36:17,840 --> 00:36:22,140 +population standard deviation sigma is known, so + +428 +00:36:22,140 --> 00:36:25,720 +we know the value of sigma. The second assumption, + +429 +00:36:26,260 --> 00:36:31,880 +the population is normally distributed, but if the + +430 +00:36:31,880 --> 00:36:34,200 +population is not normal, you can use large + +431 +00:36:34,200 --> 00:36:37,120 +sample. In this case, you can apply the central + +432 +00:36:37,120 --> 00:36:39,950 +limit theorem. Then we can say that the sampling + +433 +00:36:39,950 --> 00:36:43,650 +distribution of X bar is approximately normally + +434 +00:36:43,650 --> 00:36:46,730 +distributed with mean mu and standard deviation + +435 +00:36:46,730 --> 00:36:49,890 +sigma over root N. So there are two assumptions + +436 +00:36:49,890 --> 00:36:54,530 +here. One, sigma is known because here we are + +437 +00:36:54,530 --> 00:36:58,370 +talking about sigma is known. The other one, the + +438 +00:36:58,370 --> 00:37:01,670 +population is normally distributed or N is large + +439 +00:37:01,670 --> 00:37:06,800 +if the population is not normal. In this case, The + +440 +00:37:06,800 --> 00:37:09,860 +confidence interval estimate is given by this + +441 +00:37:09,860 --> 00:37:14,480 +equation, x bar. As we mentioned before, any + +442 +00:37:14,480 --> 00:37:17,480 +confidence interval can be built by using three + +443 +00:37:17,480 --> 00:37:22,640 +components. Point estimate x bar, critical value + +444 +00:37:22,640 --> 00:37:25,140 +z, forget about alpha over two for a minute, + +445 +00:37:26,180 --> 00:37:29,200 +multiplied by the standard error of the estimate. + +446 +00:37:29,420 --> 00:37:32,140 +And we know that, we know that the standard error + +447 +00:37:32,140 --> 00:37:37,180 +of x bar is sigma over root n. Z alpha over 2 + +448 +00:37:37,180 --> 00:37:42,520 +comes from the fact that we have for example here + +449 +00:37:42,520 --> 00:37:49,380 +95% this is 1 minus alpha. 1 minus alpha is 95%. + +450 +00:37:49,380 --> 00:37:56,000 +So 5% remaining to both sides upper tail will have + +451 +00:37:56,000 --> 00:38:00,460 +for example 2.5% and lower tail the same percent 2 + +452 +00:38:00,460 --> 00:38:02,160 +.5%. + +453 +00:38:04,640 --> 00:38:07,920 +Now since 1 minus alpha equals 95%, that means + +454 +00:38:07,920 --> 00:38:13,160 +alpha is 5% for both sides. So this one alpha over + +455 +00:38:13,160 --> 00:38:16,220 +2, the other one is alpha over 2. So this is your + +456 +00:38:16,220 --> 00:38:18,640 +z. So z alpha over 2. + +457 +00:38:21,940 --> 00:38:27,620 +The other side plus z alpha over 2. So x bar is + +458 +00:38:27,620 --> 00:38:32,860 +the point estimate. Z alpha over 2 is the normal + +459 +00:38:32,860 --> 00:38:35,460 +distribution in critical value for probability of + +460 +00:38:35,460 --> 00:38:40,520 +alpha over 2 in each tail. And sigma over root n + +461 +00:38:40,520 --> 00:38:43,860 +is a standard error. So again, this is the first + +462 +00:38:43,860 --> 00:38:48,740 +formula we have in this chapter to construct the + +463 +00:38:48,740 --> 00:38:52,620 +confidence interval with 1 minus alpha confidence + +464 +00:38:52,620 --> 00:38:57,220 +level. So 1 minus alpha person confidence + +465 +00:38:57,220 --> 00:39:05,230 +interval. For mu is x bar plus or minus z alpha + +466 +00:39:05,230 --> 00:39:10,650 +over 2 times plus or minus sigma x bar plus or + +467 +00:39:10,650 --> 00:39:13,650 +minus z alpha over 2 times sigma over square root + +468 +00:39:13,650 --> 00:39:17,990 +of n. So this is a formula can be used in order to + +469 +00:39:17,990 --> 00:39:21,250 +construct confidence interval for the population + +470 +00:39:21,250 --> 00:39:27,390 +mean mu. The lower limit is given by x bar minus + +471 +00:39:27,390 --> 00:39:30,760 +this amount. So the lower limit, + +472 +00:39:34,740 --> 00:39:36,480 +X bar minus, + +473 +00:39:39,560 --> 00:39:41,840 +and the upper limit is X bar plus. + +474 +00:39:44,720 --> 00:39:47,880 +Upper limit. + +475 +00:39:50,880 --> 00:39:54,920 +Now the point estimate is X bar. For the lower + +476 +00:39:54,920 --> 00:40:01,530 +limit, we subtract this amount. from x bar for the + +477 +00:40:01,530 --> 00:40:09,250 +upper limit we add the same amount so + +478 +00:40:09,250 --> 00:40:15,970 +subtracting specific amount and adding the same + +479 +00:40:15,970 --> 00:40:22,650 +amount this amount later will call it margin of + +480 +00:40:22,650 --> 00:40:31,520 +error this will be maybe week after next week. So + +481 +00:40:31,520 --> 00:40:36,360 +z alpha bar to sigma bar root n is the margin of + +482 +00:40:36,360 --> 00:40:39,980 +error or the error because we add or subtract the + +483 +00:40:39,980 --> 00:40:43,660 +same value of x bar. + +484 +00:40:46,480 --> 00:40:54,980 +Now this slide just explains how can we compute Z + +485 +00:40:54,980 --> 00:41:00,820 +alpha over 2. And we did that for 90%. Now here + +486 +00:41:00,820 --> 00:41:07,020 +for 95% confidence level, so alpha is 5%. So Z + +487 +00:41:07,020 --> 00:41:12,640 +alpha over 2 in the lower tail is 1.96 minus. The + +488 +00:41:12,640 --> 00:41:16,460 +other one plus 1.96. So the lower confidence limit + +489 +00:41:16,460 --> 00:41:21,120 +minus or negative. Upper confidence limit is plus. + +490 +00:41:21,360 --> 00:41:25,490 +So the same values, but different science. So I + +491 +00:41:25,490 --> 00:41:29,090 +think we talk about how can we find the critical + +492 +00:41:29,090 --> 00:41:35,530 +values of our talk. This table summarizes the + +493 +00:41:35,530 --> 00:41:40,990 +commonly used confidence levels. And most likely, + +494 +00:41:41,070 --> 00:41:48,090 +we are using 90%, 95%, 99%. So for 90%, it's + +495 +00:41:48,090 --> 00:41:57,080 +11645, as we did. 95% 1.96, better to remember + +496 +00:41:57,080 --> 00:42:01,100 +these values. For 99, it's 2.58. + +497 +00:42:04,660 --> 00:42:05,900 +Now let's see. + +498 +00:42:08,680 --> 00:42:13,500 +As the confidence level increases. Now here the + +499 +00:42:13,500 --> 00:42:16,420 +confidence level. As the confidence level + +500 +00:42:16,420 --> 00:42:22,100 +increases. Look at the corresponding z value. is + +501 +00:42:22,100 --> 00:42:27,060 +also increased. So in this case, the interval + +502 +00:42:27,060 --> 00:42:32,260 +becomes wider or narrower? Wider. Because here we + +503 +00:42:32,260 --> 00:42:36,680 +subtract this value, this amount, z alpha over 2 + +504 +00:42:36,680 --> 00:42:41,520 +will increase. This is z alpha over 2. As + +505 +00:42:41,520 --> 00:42:47,140 +confidence level increases, z value increases + +506 +00:42:47,140 --> 00:42:52,700 +also. So that means this amount will go up. will + +507 +00:42:52,700 --> 00:42:56,720 +increase also. That means the confidence interval + +508 +00:42:56,720 --> 00:43:02,940 +becomes wider. So as C + +509 +00:43:02,940 --> 00:43:10,820 +level or confidence level goes up, increases, the + +510 +00:43:10,820 --> 00:43:18,300 +corresponding interval, the interval becomes + +511 +00:43:18,300 --> 00:43:20,740 +wider. + +512 +00:43:23,830 --> 00:43:26,470 +So as C level increases, the confidence becomes + +513 +00:43:26,470 --> 00:43:30,910 +wider. Vice versa, if the C level decreases, + +514 +00:43:32,110 --> 00:43:34,790 +narrower. The confidence interval becomes + +515 +00:43:34,790 --> 00:43:35,230 +narrower. + +516 +00:43:38,070 --> 00:43:41,210 +It's better to have narrower confidence interval. + +517 +00:43:42,970 --> 00:43:46,890 +So again, it's better if you remember these values + +518 +00:43:46,890 --> 00:43:50,690 +for the confidence level and the corresponding Z + +519 +00:43:50,690 --> 00:43:51,070 +value. + +520 +00:43:54,160 --> 00:43:58,980 +So that's the + +521 +00:43:58,980 --> 00:44:01,520 +sea level for different sizes. + +522 +00:44:04,060 --> 00:44:08,580 +This slide shows + +523 +00:44:08,580 --> 00:44:14,900 +that some continents intervals may be containing + +524 +00:44:14,900 --> 00:44:20,160 +mu. So the blue ones is the value of mu. The blue + +525 +00:44:20,160 --> 00:44:25,740 +ones contains mu. The red one does not, because mu + +526 +00:44:25,740 --> 00:44:30,360 +in this case lies outside the confidence interval. + +527 +00:44:30,740 --> 00:44:34,220 +So maybe the confidence interval you have to + +528 +00:44:34,220 --> 00:44:40,620 +construct, it might cover the mu or not. I have to + +529 +00:44:40,620 --> 00:44:43,260 +mention just one point here. It's better to say + +530 +00:44:43,260 --> 00:44:48,320 +that my confidence interval covers mu. So you can + +531 +00:44:48,320 --> 00:44:51,220 +say that I am 95% confident. + +532 +00:44:54,140 --> 00:45:03,080 +that the confidence interval contains mu, contains + +533 +00:45:03,080 --> 00:45:11,080 +the true parameter mu, rather than saying mu lies. + +534 +00:45:16,320 --> 00:45:19,140 +Because Mu is unknown. You cannot say Mu lies in + +535 +00:45:19,140 --> 00:45:22,620 +the confidence. But we can say that 95% we are + +536 +00:45:22,620 --> 00:45:29,000 +sure that my interval contains Mu. So don't say Mu + +537 +00:45:29,000 --> 00:45:32,640 +lies in this interval. So it's better to say that + +538 +00:45:32,640 --> 00:45:38,220 +we are 95% sure that my interval covers, contains + +539 +00:45:38,220 --> 00:45:39,480 +Mu. + +540 +00:45:41,240 --> 00:45:43,840 +Let's do one example. + +541 +00:45:50,590 --> 00:45:56,930 +Here we have a sample of 11 circuits from a large + +542 +00:45:56,930 --> 00:45:57,990 +normal population. + +543 +00:46:00,430 --> 00:46:06,110 +So now we have a random sample of 11. This sample + +544 +00:46:06,110 --> 00:46:09,550 +is selected from normal populations. So the first + +545 +00:46:09,550 --> 00:46:14,810 +assumption is okay. So normality is assumed to be + +546 +00:46:14,810 --> 00:46:21,900 +satisfied. Now this sample has a mean resistance + +547 +00:46:21,900 --> 00:46:27,300 +of 2.2 ohms. So again, a sample of 11 circuits + +548 +00:46:27,300 --> 00:46:30,800 +from a large normal population has a mean + +549 +00:46:30,800 --> 00:46:38,040 +resistance of 2.2 ohms. That means X bar is 2.2. + +550 +00:46:41,900 --> 00:46:49,730 +Ohms is the resistance unit. We know that From + +551 +00:46:49,730 --> 00:46:55,310 +past testing, it means from previous studies, we + +552 +00:46:55,310 --> 00:46:58,450 +know that from past testing that the population + +553 +00:46:58,450 --> 00:47:04,890 +standard deviation is 0.35. So sigma is 0.35. So + +554 +00:47:04,890 --> 00:47:08,810 +sigma is known. So the second assumption is okay. + +555 +00:47:11,110 --> 00:47:15,110 +But again, as we mentioned, Sigma's reality is not + +556 +00:47:15,110 --> 00:47:19,270 +known. But here from past testing, I mean from + +557 +00:47:19,270 --> 00:47:23,350 +previous knowledge, we know that sigma is 1 to the + +558 +00:47:23,350 --> 00:47:31,890 +35. Now the question is determined 95%. So C level + +559 +00:47:31,890 --> 00:47:41,470 +or confidence level is 95%. Determined 95% + +560 +00:47:41,470 --> 00:47:45,190 +confidence interval. For the true mean, true mean + +561 +00:47:45,190 --> 00:47:51,790 +it means population mean, resistance of the + +562 +00:47:51,790 --> 00:47:55,330 +population. So now the information that we have in + +563 +00:47:55,330 --> 00:47:59,010 +this example, we select a random sample of size 11 + +564 +00:47:59,010 --> 00:48:03,430 +from a normal population, so normality is assumed + +565 +00:48:03,430 --> 00:48:09,330 +to be satisfied. This sample gives mean resistance + +566 +00:48:09,330 --> 00:48:15,110 +of 2.2 and we know that. The standard deviation of + +567 +00:48:15,110 --> 00:48:19,170 +the population is given by 0.35, and the question + +568 +00:48:19,170 --> 00:48:24,250 +is to determine 95% confidence interval for the + +569 +00:48:24,250 --> 00:48:28,590 +true mean resistance of the approximation. So this + +570 +00:48:28,590 --> 00:48:29,690 +is the information we have. + +571 +00:48:32,570 --> 00:48:36,390 +Now straightforward calculations will give this + +572 +00:48:36,390 --> 00:48:39,590 +result. X bar plus or minus Z alpha over 2 sigma + +573 +00:48:39,590 --> 00:48:40,230 +over 4N. + +574 +00:48:43,220 --> 00:48:49,200 +2.2 plus or minus 1.96 times sigma, which is 0.35 + +575 +00:48:49,200 --> 00:48:53,420 +divided by root 11. This will give 2.2 plus or + +576 +00:48:53,420 --> 00:48:58,660 +minus this amount. And as mentioned before, this + +577 +00:48:58,660 --> 00:49:02,760 +amount is the margin term. So just subtract this + +578 +00:49:02,760 --> 00:49:08,900 +value from 2.2, you will get 1.9932. And add this + +579 +00:49:08,900 --> 00:49:12,630 +value to 2.2, you will get this result. So Mu + +580 +00:49:12,630 --> 00:49:16,770 +greater than or equal to 1.99 all the way up to 2 + +581 +00:49:16,770 --> 00:49:19,650 +.4068. + +582 +00:49:23,950 --> 00:49:29,010 +So that's the calculations we have. So Mu is + +583 +00:49:29,010 --> 00:49:31,390 +between 95 percent. + +584 +00:49:34,830 --> 00:49:39,450 +Now let's see our interpretation for this result. + +585 +00:49:40,680 --> 00:49:43,260 +So again, straightforward calculations will give + +586 +00:49:43,260 --> 00:49:47,380 +this + +587 +00:49:47,380 --> 00:49:53,200 +result. Now, the interpretation, you should write + +588 +00:49:53,200 --> 00:49:58,260 +the following. We are 95% confident that the true + +589 +00:49:58,260 --> 00:50:04,120 +mean resistance is between these two values. Just + +590 +00:50:04,120 --> 00:50:07,940 +saying, we are 95% sure that the true mean + +591 +00:50:07,940 --> 00:50:11,920 +resistance is between these two values. Although + +592 +00:50:11,920 --> 00:50:16,720 +the true mean may or may not be in this interval, + +593 +00:50:17,640 --> 00:50:24,900 +but we are 95% of the intervals from form in this + +594 +00:50:24,900 --> 00:50:29,660 +manner will contain the true mean. So again, you + +595 +00:50:29,660 --> 00:50:34,320 +don't know exactly if the true mean lies in the + +596 +00:50:34,320 --> 00:50:37,980 +interval, but you could say that 95% of the + +597 +00:50:37,980 --> 00:50:43,360 +intervals formed in this way will contain the true + +598 +00:50:43,360 --> 00:50:50,780 +mean. So that's all for confidence estimation for + +599 +00:50:50,780 --> 00:50:54,840 +the population mean immune. Any questions? + +600 +00:50:59,640 --> 00:51:04,520 +Later, next time, inshallah, we'll talk about The + +601 +00:51:04,520 --> 00:51:10,500 +confidence interval when sigma is unknown. I mean, + +602 +00:51:13,740 --> 00:51:19,400 +do you ever truly know sigma? May not. In + +603 +00:51:19,400 --> 00:51:23,840 +virtually all real world business situations, + +604 +00:51:24,440 --> 00:51:31,800 +sigma is not known. If there is a situation, Where + +605 +00:51:31,800 --> 00:51:35,620 +Sigma is known, then Mu is also known. Because + +606 +00:51:35,620 --> 00:51:40,840 +since to calculate Mu, you need to know Mu. In + +607 +00:51:40,840 --> 00:51:44,860 +order to calculate Sigma, you should know the + +608 +00:51:44,860 --> 00:51:45,560 +value of Mu. + +609 +00:51:48,600 --> 00:51:52,640 +Finally, if you truly know Mu, if you know the + +610 +00:51:52,640 --> 00:51:59,680 +value of Mu, there would be no need to gather a + +611 +00:51:59,680 --> 00:52:00,560 +sample to estimate. + +612 +00:52:04,050 --> 00:52:07,610 +The value of the mean is given. You have to stop + +613 +00:52:07,610 --> 00:52:11,530 +because you don't need to select a random sample + +614 +00:52:11,530 --> 00:52:17,690 +in order to estimate the population mean. And + +615 +00:52:17,690 --> 00:52:23,550 +again, in real life, sigma is unknown. So next + +616 +00:52:23,550 --> 00:52:28,190 +time, we'll talk about confidence interval for mu + +617 +00:52:28,190 --> 00:52:34,500 +when sigma is unknown. So that's all. Fourth day. + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/_tPr3lwdN_Q.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/_tPr3lwdN_Q.srt new file mode 100644 index 0000000000000000000000000000000000000000..52c3b1f0e8d30d3b60c23232aa7ed678a81330a4 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/_tPr3lwdN_Q.srt @@ -0,0 +1,1274 @@ +1 +00:00:14,040 --> 00:00:18,360 +Let's start chapter 11. Here we'll talk about some + +2 +00:00:18,360 --> 00:00:19,960 +of these characters. + +3 +00:00:22,920 --> 00:00:27,180 +If you remember the first time we met, we + +4 +00:00:27,180 --> 00:00:30,470 +discussed that there are two types of data. One + +5 +00:00:30,470 --> 00:00:36,270 +was numerical data and the other categorical data. In + +6 +00:00:36,270 --> 00:00:42,130 +chapter eight, we discussed testing and estimation + +7 +00:00:42,130 --> 00:00:46,650 +about one, either population mean, if the data is + +8 +00:00:46,650 --> 00:00:52,810 +numeric, or population proportion if the data is + +9 +000:00:52,810 --> 00:00:56,910 +not numeric, I mean categorical data. In chapter + +10 +00:00:56,910 --> 00:01:00,590 +nine and ten, I'm sorry, in chapter 10 we extend + +11 +00:01:00,590 --> 00:01:05,830 +for two population means and two population + +12 +00:01:05,830 --> 00:01:09,990 +proportions. Now this chapter talks about testing + +13 +00:01:09,990 --> 00:01:13,810 +about the difference between two population means + +14 +00:01:13,810 --> 00:01:17,790 +and two population proportions or comparing more + +15 +00:01:17,790 --> 00:01:20,650 +than two population proportions. So we are going + +16 +00:01:20,650 --> 00:01:23,690 +to test to see if there exists a difference + +17 +00:01:23,690 --> 00:01:29,240 +between two population proportions or comparison + +18 +00:01:29,240 --> 00:01:33,160 +among more than two population proportions. And + +19 +00:01:33,160 --> 00:01:37,240 +the second objective also will be test the + +20 +00:01:37,240 --> 00:01:41,180 +independence of two categorical variables. For + +21 +00:01:41,180 --> 00:01:43,820 +example, suppose we are interested in the + +22 +00:01:43,820 --> 00:01:47,970 +relationship between gender and education. And our + +23 +00:01:47,970 --> 00:01:51,050 +goal is to see if there exists a significant + +24 +00:01:51,050 --> 00:01:55,210 +relationship between education and gender, for + +25 +00:01:55,210 --> 00:01:59,190 +example, or if we are interested in health status + +26 +00:01:59,190 --> 00:02:03,450 +and smoking. Smoking, either the person is a heavy + +27 +00:02:03,450 --> 00:02:08,270 +smoker or not a heavy smoker. And health status + +28 +00:02:08,270 --> 00:02:10,370 +could be classified as bad, + +29 +00:02:13,250 --> 00:02:20,540 +medium, or good. So we are going to test to see if + +30 +00:02:20,540 --> 00:02:22,960 +there exists a difference or relationship between + +31 +00:02:22,960 --> 00:02:26,300 +two variables. So here we are interested in + +32 +00:02:26,300 --> 00:02:30,900 +qualitative data, either we have two or more than + +33 +00:02:30,900 --> 00:02:35,560 +two variables. So the objectives in this chapter + +34 +00:02:35,560 --> 00:02:39,860 +are when to use the chi-square test for + +35 +00:02:39,860 --> 00:02:44,130 +contingency tables. And the other, how to use the + +36 +00:02:44,130 --> 00:02:47,490 +chi-square test for contingency plots. So here we + +37 +00:02:47,490 --> 00:02:52,910 +are going to see what are the conditions. And what + +38 +00:02:52,910 --> 00:02:56,550 +are the conditions we can see, we can use the chi + +39 +00:02:56,550 --> 00:03:00,850 +-square test. So the condition is, we should have + +40 +00:03:00,850 --> 00:03:05,170 +qualitative data. So in this case, we'll talk + +41 +00:03:05,170 --> 00:03:05,890 +about just + +42 +00:03:09,330 --> 00:03:14,950 +gender, health status, education, income levels, + +43 +00:03:15,190 --> 00:03:18,450 +and so on. So we are not talking about numerical + +44 +00:03:18,450 --> 00:03:22,950 +data. So we are focusing on non-numerical data. I + +45 +00:03:22,950 --> 00:03:28,250 +mean on categorical data. Let's see the definition + +46 +00:03:28,250 --> 00:03:31,050 +of contingency table. For example, as I mentioned, + +47 +00:03:31,250 --> 00:03:37,090 +suppose we are interested in gender and education. + +48 +00:03:38,500 --> 00:03:42,660 +And for example, suppose gender is classified, + +49 +00:03:43,440 --> 00:03:50,180 +normally is classified as female and male. Education + +50 +00:03:50,180 --> 00:03:57,920 +could be classified as either secondary or + +51 +00:03:57,920 --> 00:04:07,100 +less, bachelor, master, PhD. So here we are + +52 +00:04:07,100 --> 00:04:11,920 +talking about a relationship between gender and + +53 +00:04:11,920 --> 00:04:18,200 +education. Now in this case, we have this table. + +54 +00:04:23,360 --> 00:04:28,360 +For example, one is gender. And gender is either + +55 +00:04:28,360 --> 00:04:31,360 +female or male. And the other is education. + +56 +00:04:34,080 --> 00:04:37,140 +And education in this case is classified into four + +57 +00:04:37,140 --> 00:04:40,140 +categories, secondary or less, + +58 +00:04:43,360 --> 00:04:49,820 +BA, master and PhD. This table is called + +59 +00:04:49,820 --> 00:04:57,700 +contingency table. It's a two by four table. Two + +60 +00:04:57,700 --> 00:04:58,840 +because there are two rows. + +61 +00:05:07,220 --> 00:05:09,800 +In this case, there are two rules and two codes. + +62 +00:05:10,540 --> 00:05:13,640 +For example, gender, + +63 +00:05:16,260 --> 00:05:20,720 +male or female, and the other one, suppose, + +64 +00:05:21,100 --> 00:05:21,700 +smoking. + +65 +00:05:24,120 --> 00:05:29,490 +Either yes or no. Smoking or not smoking. So in + +66 +00:05:29,490 --> 00:05:32,330 +this case there are two rows and two columns. And + +67 +00:05:32,330 --> 00:05:35,910 +the goal here is we want to test to see if there + +68 +00:05:35,910 --> 00:05:38,750 +exists significant relationship between gender and + +69 +00:05:38,750 --> 00:05:42,090 +smoking. So the two variables of interest in this + +70 +00:05:42,090 --> 00:05:46,550 +case are categorical variables. So how can we test + +71 +00:05:46,550 --> 00:05:50,790 +to see if there exists a significant difference + +72 +00:05:50,790 --> 00:05:55,550 +between the two proportions or to see if smoking + +73 +00:05:55,550 --> 00:06:04,410 +and Gender are independent. So our goal is to see + +74 +00:06:04,410 --> 00:06:07,190 +if they are independent or not. It means if we + +75 +00:06:07,190 --> 00:06:10,990 +reject the null hypothesis of independence, it + +76 +00:06:10,990 --> 00:06:17,160 +means they are related. So again, a contingency + +77 +00:06:17,160 --> 00:06:19,920 +table, tables in this case useful in situations + +78 +00:06:19,920 --> 00:06:23,920 +involving multiple population proportions, so we + +79 +00:06:23,920 --> 00:06:26,820 +have more than two, or even two population + +80 +00:06:26,820 --> 00:06:30,640 +proportions, used to classify sample observations + +81 +00:06:30,640 --> 00:06:34,580 +according to two or more characteristics. In this + +82 +00:06:34,580 --> 00:06:37,760 +case, there are only two characteristics of + +83 +00:06:37,760 --> 00:06:40,140 +interest. One is education, the other is gender. + +84 +00:06:40,740 --> 00:06:44,360 +It could be we have another characteristic. The + +85 +00:06:44,360 --> 00:06:49,520 +other thing is these tables are called cross + +86 +00:06:49,520 --> 00:06:52,800 +-classification tables. Cross because we have + +87 +00:06:52,800 --> 00:06:58,180 +variable A versus variable B. For this reason it's + +88 +00:06:58,180 --> 00:07:04,440 +called cross-classification tables. There is + +89 +00:07:04,440 --> 00:07:07,360 +another example here. Here we are interested in + +90 +00:07:07,360 --> 00:07:14,700 +left-handed versus gender. So, dominant hand left + +91 +00:07:14,700 --> 00:07:22,320 +versus right, so the person either uses left or + +92 +00:07:22,320 --> 00:07:27,180 +right hand, gender male or female. So in this case + +93 +00:07:27,180 --> 00:07:30,440 +there are two categories for each variable, so + +94 +00:07:30,440 --> 00:07:35,070 +this type of example is called Two by two table, + +95 +00:07:35,530 --> 00:07:39,310 +because there are two rows, two classifications + +96 +00:07:39,310 --> 00:07:44,410 +here. So hand either left or right, the person + +97 +00:07:44,410 --> 00:07:47,130 +either male or female. So we have two + +98 +00:07:47,130 --> 00:07:49,430 +characteristics for each one, so it's a two by two + +99 +00:07:49,430 --> 00:07:53,270 +table. Suppose in this case we are examining a + +100 +00:07:53,270 --> 00:07:58,050 +sample of 300 children. So the sample size is 300, + +101 +00:07:58,510 --> 00:08:04,000 +and we have this result. So gender is classified + +102 +00:08:04,000 --> 00:08:09,200 +as males and females. Hand preference, either left + +103 +00:08:09,200 --> 00:08:15,780 +or right. So in this case, there are 120 females. + +104 +00:08:16,580 --> 00:08:22,840 +Twelve of them are using the left hand. So it means + +105 +00:08:22,840 --> 00:08:27,100 +that there are twelve left-handers for females. + +106 +00:08:29,310 --> 00:08:34,330 +While for males, there are 180 females and 20 of + +107 +00:08:34,330 --> 00:08:40,310 +them left-handers and so again 120 females 12 were + +108 +00:08:40,310 --> 00:08:47,210 +left-handed, 180 males and 20 were also left-handed. + +109 +00:08:47,210 --> 00:08:51,750 +And now the question is we are going to test see + +110 +00:08:51,750 --> 00:08:56,470 +if the difference between the two proportions are + +111 +00:08:56,470 --> 00:09:01,110 +equal. I mean under zero, we are going to test to + +112 +00:09:01,110 --> 00:09:03,850 +see if pi 1 equals to pi 2. It means the + +113 +00:09:03,850 --> 00:09:09,970 +proportion of females who are left-handed is equal + +114 +00:09:09,970 --> 00:09:14,210 +to the proportion of males who are left-handed. So + +115 +00:09:14,210 --> 00:09:17,710 +it looks similar to the one we did in chapter 10 + +116 +00:09:17,710 --> 00:09:21,870 +when we are talking about testing for the + +117 +00:09:21,870 --> 00:09:23,830 +difference between two population proportions. + +118 +00:09:24,170 --> 00:09:26,890 +It's similar, but here we will use a different + +119 +00:09:26,890 --> 00:09:29,850 +statistic. It's called chi-square test. So we are + +120 +00:09:29,850 --> 00:09:32,850 +going to test if there is no significant + +121 +00:09:32,850 --> 00:09:35,230 +difference between the population proportions for + +122 +00:09:35,230 --> 00:09:39,770 +males and females left-handed against there exists + +123 +00:09:39,770 --> 00:09:43,580 +a difference. In this case, always we have two + +124 +00:09:43,580 --> 00:09:47,560 +-sided test for chi-square. Chi-square never be + +125 +00:09:47,560 --> 00:09:51,080 +negative, chi-square is always positive. So here + +126 +00:09:51,080 --> 00:09:54,820 +we are talking about two-sided test. It means the + +127 +00:09:54,820 --> 00:09:59,740 +two proportions are not the same. Hand preference + +128 +00:09:59,740 --> 00:10:03,120 +is not independent of gender. In other words, we + +129 +00:10:03,120 --> 00:10:06,840 +can say that hand preference is not independent of + +130 +00:10:06,840 --> 00:10:10,200 +gender. So here we can say that hand preference is + +131 +00:10:10,740 --> 00:10:16,280 +It is independent of gender. So it means under H0, + +132 +00:10:16,780 --> 00:10:25,520 +we assume hand preference and gender are + +133 +00:10:25,520 --> 00:10:30,520 +independent or + +134 +00:10:33,540 --> 00:10:37,620 +A proportion of females who are left-handed is + +135 +00:10:37,620 --> 00:10:40,860 +equal to the proportion of males who are left + +136 +00:10:40,860 --> 00:10:43,740 +-handed. It means they are independent. I mean, + +137 +00:10:43,840 --> 00:10:47,520 +hand preference and gender are independent against + +138 +00:10:47,520 --> 00:10:52,420 +either. You may write that the two proportions are + +139 +00:10:52,420 --> 00:10:58,000 +not the same or the two variables are dependent. + +140 +00:10:59,120 --> 00:11:01,780 +So you can say that hand preference + +141 +00:11:05,620 --> 00:11:12,360 +and gender are either you may say that are not + +142 +00:11:12,360 --> 00:11:25,180 +independent or related or dependent, so + +143 +00:11:25,180 --> 00:11:30,440 +again not independent means either they are + +144 +00:11:30,440 --> 00:11:39,110 +related or dependent. Now, if H0 is true, if we + +145 +00:11:39,110 --> 00:11:42,810 +assume H0 is true, it means the proportion of left + +146 +00:11:42,810 --> 00:11:47,850 +-handed females should be the same as the + +147 +00:11:47,850 --> 00:11:53,430 +proportion of left-handed males. It says that the + +148 +00:11:53,430 --> 00:11:59,110 +proportion is the same as, not equal to. Because + +149 +00:11:59,110 --> 00:12:04,020 +if we reject the null hypothesis, Then we have + +150 +00:12:04,020 --> 00:12:05,980 +sufficient evidence to support the alternative. + +151 +00:12:06,920 --> 00:12:10,060 +But if we don't reject the null, it doesn't imply + +152 +00:12:10,060 --> 00:12:13,740 +that H0 is true. It means there is insufficient + +153 +00:12:13,740 --> 00:12:17,420 +evidence to support the alternative hypothesis. So + +154 +00:12:17,420 --> 00:12:20,500 +it's better to say that the two proportions are + +155 +00:12:20,500 --> 00:12:24,540 +the same. Same does not mean equal. Same means + +156 +00:12:25,400 --> 00:12:29,640 +there exists a small difference, I mean, not + +157 +00:12:29,640 --> 00:12:31,300 +a significant difference between the two + +158 +00:12:31,300 --> 00:12:34,640 +proportions. So you have to be careful between, + +159 +00:12:35,080 --> 00:12:39,240 +distinguish actually between same and equal. So + +160 +00:12:39,240 --> 00:12:42,700 +same, it doesn't mean exactly they are equal, but + +161 +00:12:42,700 --> 00:12:45,580 +they are roughly equal, or approximately, or they + +162 +00:12:45,580 --> 00:12:49,320 +actually, they are close to each other. Against, + +163 +00:12:49,940 --> 00:12:52,640 +here again, against the two population proportions + +164 +00:12:52,640 --> 00:12:57,800 +are not the same. So let's see how can we examine + +165 +00:12:57,800 --> 00:13:01,420 +this null hypothesis by using a new statistic. + +166 +00:13:01,980 --> 00:13:06,700 +This statistic is called Chi-square. Chi-square is + +167 +00:13:06,700 --> 00:13:14,260 +denoted by this Greek letter, chi-square. It's a + +168 +00:13:14,260 --> 00:13:19,840 +Greek letter. It's pronounced as Chi, C-H-I, Chi + +169 +00:13:19,840 --> 00:13:23,280 +-square. It looks like X. + +170 +00:13:30,500 --> 00:13:33,160 +And chi-square is given by, chi-square statistic + +171 +00:13:33,160 --> 00:13:39,180 +is given by this equation. So chi-square is the + +172 +00:13:39,180 --> 00:13:49,500 +sum of F for 0 minus F expected wanted square + +173 +00:13:49,500 --> 00:13:55,000 +divided by Fe. + +174 +00:13:56,150 --> 00:13:59,490 +Now, let's see the definition for each term here. + +175 +00:13:59,870 --> 00:14:04,450 +Fo, it means the observed frequency in a + +176 +00:14:04,450 --> 00:14:09,430 +particular cell in the table you have. Fe is the + +177 +00:14:09,430 --> 00:14:13,190 +expected frequency in a particular cell if it's 0 + +178 +00:14:13,190 --> 00:14:15,690 +is true. So if you go back a little bit to the + +179 +00:14:15,690 --> 00:14:23,790 +previous table, these values 12, 24, 108, 156 are + +180 +00:14:23,790 --> 00:14:28,880 +the observed frequency. So these values represent + +181 +00:14:28,880 --> 00:14:37,420 +Fo. So Fo is the observed frequency. + +182 +00:14:38,200 --> 00:14:40,040 +The frequency is from the sample. + +183 +00:14:45,080 --> 00:14:48,340 +Again, we are testing proportion 1 equals + +184 +00:14:48,340 --> 00:14:52,940 +proportion 2. Now for Fe. + +185 +00:14:54,780 --> 00:14:58,500 +Fe is the expected frequency in a particular cell + +186 +00:14:58,500 --> 00:15:02,800 +if each cell is true. If we are assuming the two + +187 +00:15:02,800 --> 00:15:05,980 +population proportions are the same, what do you + +188 +00:15:05,980 --> 00:15:10,540 +expect the frequency for each cell? So we are + +189 +00:15:10,540 --> 00:15:18,100 +going to compute the observed, I'm sorry, the + +190 +00:15:18,100 --> 00:15:23,840 +expected frequency for each cell, in this table, so + +191 +00:15:23,840 --> 00:15:27,280 +let's see how can we do that by using the same + +192 +00:15:27,280 --> 00:15:35,300 +rule we had before. Now, chi-square statistic for + +193 +00:15:35,300 --> 00:15:38,360 +the two by two case. I mean if there are two rows + +194 +00:15:38,360 --> 00:15:41,300 +and two columns, has only one degree of freedom + +195 +00:15:41,300 --> 00:15:46,440 +later on, we'll see if we have more than two rows + +196 +00 + +223 +00:17:40,520 --> 00:17:45,280 +direction of this difference. I mean, you cannot + +224 +00:17:45,280 --> 00:17:48,940 +say pi 1 is greater than or pi 1 is smaller than. + +225 +00:17:49,440 --> 00:17:54,100 +Because chi-square is always positive. If you + +226 +00:17:54,100 --> 00:17:57,220 +remember from this statistic, when we are testing + +227 +00:17:57,220 --> 00:18:01,180 +pi 1 equals pi 2, Z could be positive or negative. + +228 +00:18:02,100 --> 00:18:05,640 +So, based on that, we can decide if pi 1 is + +229 +00:18:05,640 --> 00:18:09,160 +greater than or smaller than pi 2. But here, since + +230 +00:18:09,160 --> 00:18:12,240 +chi-square is always positive, then you cannot + +231 +00:18:12,240 --> 00:18:15,320 +determine the direction of the relationship. You + +232 +00:18:15,320 --> 00:18:17,620 +just say that there exists a significant + +233 +00:18:17,620 --> 00:18:21,940 +relationship between such and such. So by using + +234 +00:18:21,940 --> 00:18:25,320 +chi-square, you are doing just a test to see if + +235 +00:18:25,320 --> 00:18:29,840 +there is a relationship between x and y, or if + +236 +00:18:29,840 --> 00:18:32,460 +this relationship is not significant. But you + +237 +00:18:32,460 --> 00:18:36,160 +cannot determine either the strength, I mean you + +238 +00:18:36,160 --> 00:18:39,560 +cannot say there exists strong relationship, or + +239 +00:18:39,560 --> 00:18:42,980 +the direction, you cannot say there exists inverse + +240 +00:18:42,980 --> 00:18:46,220 +or direct positive or negative relationship, you + +241 +00:18:46,220 --> 00:18:50,660 +just say there exists a relationship between x and + +242 +00:18:50,660 --> 00:18:56,540 +y. So one more time, my decision rule is, if the + +243 +00:18:56,540 --> 00:19:01,000 +value of the chi-square greater than chi-square + +244 +00:19:01,000 --> 00:19:04,580 +alpha, then we reject the null hypothesis. So + +245 +00:19:04,580 --> 00:19:08,980 +there is also another way to reject by using p + +246 +00:19:08,980 --> 00:19:09,600 +-value approach. + +247 +00:19:12,650 --> 00:19:16,150 +P value in this case, complete deprivation of chi + +248 +00:19:16,150 --> 00:19:19,630 +-square greater than chi-square statistic, and + +249 +00:19:19,630 --> 00:19:24,870 +always we reject H0 if this P value is smaller + +250 +00:19:24,870 --> 00:19:27,610 +than alpha. So as we mentioned again before, + +251 +00:19:28,130 --> 00:19:35,770 +always we reject H0 if P value is smaller than + +252 +00:19:35,770 --> 00:19:36,010 +alpha. + +253 +00:19:39,290 --> 00:19:43,530 +So again, my decision rule is, we reject the null + +254 +00:19:43,530 --> 00:19:47,370 +hypothesis if the value of the statistic lies in + +255 +00:19:47,370 --> 00:19:50,610 +the rejection region. And again, there is only one + +256 +00:19:50,610 --> 00:19:54,350 +rejection region in this case, because chi-square + +257 +00:19:54,350 --> 00:19:58,770 +is always positive. If you look at this formula, F + +258 +00:19:58,770 --> 00:20:02,250 +observed minus F expected squared, so it's + +259 +00:20:02,250 --> 00:20:06,730 +positive. F is also positive, so chi-square is + +260 +00:20:06,730 --> 00:20:11,850 +always positive. Now let's see how can we compute + +261 +00:20:11,850 --> 00:20:18,450 +the value of the chi-square statistic. If we go + +262 +00:20:18,450 --> 00:20:24,090 +back a little bit to the data we have, in this + +263 +00:20:24,090 --> 00:20:31,510 +case there are one in twenty females and twelve + +264 +00:20:31,510 --> 00:20:34,870 +out of them are left-handed. + +265 +00:20:39,650 --> 00:20:50,630 +Left, right, 12, 108, 24, 156. The totals are 120, + +266 +00:20:51,290 --> 00:20:52,210 +180, + +267 +00:20:54,510 --> 00:21:00,290 +36, 264, and 300. So that's the table we have now. + +268 +00:21:00,920 --> 00:21:04,600 +Let's see how can we compute the value of the chi + +269 +00:21:04,600 --> 00:21:08,860 +-square statistic. The first step, compute the + +270 +00:21:08,860 --> 00:21:13,100 +average proportion, the same as the one we did in + +271 +00:21:13,100 --> 00:21:16,620 +chapter 10. It's called overall proportion, or + +272 +00:21:16,620 --> 00:21:23,100 +pooled proportion. And B dash, in this case, is + +273 +00:21:23,100 --> 00:21:30,270 +given by x1 plus x2 divided by n1 plus n2. in left + +274 +00:21:30,270 --> 00:21:34,690 +-handed, either males or females. In this sample, + +275 +00:21:34,990 --> 00:21:41,490 +there are 12 females, 12 left-handed females and + +276 +00:21:41,490 --> 00:21:51,850 +24 males. So 12 plus 24 divided by 1 plus 8 is 2. + +277 +00:21:52,010 --> 00:21:58,780 +There are 120 females and 180 females. So overall + +278 +00:21:58,780 --> 00:22:04,480 +proportion 12 plus 24, which is actually this + +279 +00:22:04,480 --> 00:22:10,320 +total 36, divided by overall total or the grand + +280 +00:22:10,320 --> 00:22:14,440 +total, which is 300. So the formula is + +281 +00:22:14,440 --> 00:22:17,400 +straightforward. Just suppose I am interested in + +282 +00:22:17,400 --> 00:22:22,240 +left-handed. So overall proportion for left-handed + +283 +00:22:22,240 --> 00:22:27,720 +equals 36 divided by 300. + +284 +00:22:31,720 --> 00:22:37,100 +That means, of all children, the proportion of + +285 +00:22:37,100 --> 00:22:42,960 +left-handers is 12%. Of all the children, the + +286 +00:22:42,960 --> 00:22:48,640 +proportion of left-handers is 12%. So that's the + +287 +00:22:48,640 --> 00:22:52,600 +proportion for left-handers. + +288 +00:22:57,500 --> 00:23:01,980 +So now to find the expected frequencies for males + +289 +00:23:01,980 --> 00:23:05,620 +and females, we have to multiply the average + +290 +00:23:05,620 --> 00:23:09,200 +proportion, left-handed B dash, by the total + +291 +00:23:09,200 --> 00:23:12,160 +number of females. In this case, there are 120 + +292 +00:23:12,160 --> 00:23:16,560 +females. So the expected frequency in this case is + +293 +00:23:16,560 --> 00:23:22,960 +just 120 multiplied by 12%. So 120 multiplied by + +294 +00:23:22,960 --> 00:23:30,580 +12% gives 14.4. So if it's zero is true, I mean if + +295 +00:23:30,580 --> 00:23:32,480 +the difference between the two population + +296 +00:23:32,480 --> 00:23:39,080 +proportions are the same, then we expect 14.4 left + +297 +00:23:39,080 --> 00:23:45,790 +handed females. Because overall proportion is 12% + +298 +00:23:45,790 --> 00:23:49,610 +for left-handed. And in this case, there are 120 + +299 +00:23:49,610 --> 00:23:54,610 +females. So we are expecting N times this + +300 +00:23:54,610 --> 00:23:58,990 +proportion. So N times V dash will give the + +301 +00:23:58,990 --> 00:24:04,130 +expected frequency for left-handed females. Now + +302 +00:24:04,130 --> 00:24:10,030 +what do you think the expected frequency for left + +303 +00:24:10,030 --> 00:24:10,750 +-handed males? + +304 +00:24:13,440 --> 00:24:20,620 +Again, there are 180 males multiplied by 12, and + +305 +00:24:20,620 --> 00:24:22,620 +that will give 21.6. + +306 +00:24:24,860 --> 00:24:31,820 +Or if you look at the total for 14.6, 21.6 is 36. + +307 +00:24:32,480 --> 00:24:38,140 +So the expected frequency for males left-handed is + +308 +00:24:38,140 --> 00:24:42,380 +just 36 minus + +309 +00:24:43,480 --> 00:24:49,120 +14.4 which is 21.6. So to get the expected + +310 +00:24:49,120 --> 00:24:54,640 +frequency for left-handed females, multiply the + +311 +00:24:54,640 --> 00:24:58,560 +overall proportion by the total number of females. + +312 +00:24:59,420 --> 00:25:02,820 +Again in this case there are 120 females, so 120 + +313 +00:25:02,820 --> 00:25:09,340 +multiplied by 0.12 will give 14.4. For females, + +314 +00:25:09,560 --> 00:25:13,860 +there are 180 females, so multiply 180 by 12% will + +315 +00:25:13,860 --> 00:25:19,120 +give 21.6, or just find a complement. Because + +316 +00:25:19,120 --> 00:25:23,760 +since there are 36 left-handed, or left-handers, + +317 +00:25:24,620 --> 00:25:31,240 +and 14.4 are females, so the complement, which is + +318 +00:25:31,240 --> 00:25:34,240 +21.6, should be for males. + +319 +00:25:36,890 --> 00:25:41,150 +So here, we have to compute the expected frequency + +320 +00:25:41,150 --> 00:25:47,850 +for each cell. I just computed the expected + +321 +00:25:47,850 --> 00:25:52,530 +frequency for left-handers. 14.4 for females and + +322 +00:25:52,530 --> 00:25:57,870 +21.6 for males. Now what's about right-handers? + +323 +00:25:58,870 --> 00:26:04,690 +Now for right-handers, since 12% overall are left + +324 +00:26:04,690 --> 00:26:12,410 +-handers, So 88% are right-handers, so multiply 88 + +325 +00:26:12,410 --> 00:26:18,850 +% by 120, that will give this expected frequency. + +326 +00:26:19,370 --> 00:26:25,010 +So if you multiply 88 by 120, that will give + +327 +00:26:25,010 --> 00:26:26,650 +105.16. + +328 +00:26:31,340 --> 00:26:35,260 +Now there are 14.4 expected frequency for left + +329 +00:26:35,260 --> 00:26:40,420 +handers, females. Now total number of females are + +330 +00:26:40,420 --> 00:26:47,300 +120. Now 14.4 out of 120 females are left handers, + +331 +00:26:47,800 --> 00:26:52,820 +so remaining is right handers. So 120 minus this + +332 +00:26:52,820 --> 00:26:58,620 +value, so this equals 120 minus 14.4 which gives 1 + +333 +00:26:58,620 --> 00:27:02,510 +05.6. So you don't need actually to compute the + +334 +00:27:02,510 --> 00:27:06,490 +expected frequency for the other cells. Since this + +335 +00:27:06,490 --> 00:27:12,350 +one is known or is computed by using sample size + +336 +00:27:12,350 --> 00:27:16,470 +for females times the overall proportion. The + +337 +00:27:16,470 --> 00:27:20,590 +other expected frequency is just the total number + +338 +00:27:20,590 --> 00:27:23,910 +of females minus this expected frequency. Now + +339 +00:27:23,910 --> 00:27:26,550 +what's about the other one? 158.4. + +340 +00:27:31,670 --> 00:27:40,090 +Multiplied by 120 will give 158 or the complement, + +341 +00:27:40,490 --> 00:27:44,810 +which is 180 minus 21.6 will give the same answer. + +342 +00:27:45,490 --> 00:27:51,930 +Because since there are 180 males and 21.6 from + +343 +00:27:51,930 --> 00:27:56,550 +them are left-handers, so the remaining should be + +344 +00:27:56,550 --> 00:28:03,060 +right-handers, which is 158.4. So we just use this + +345 +00:28:03,060 --> 00:28:07,240 +rule for only one cell for this reason. diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/rTMlA8frV0A_raw.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/rTMlA8frV0A_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..126bebb2b0b3a64521d653c6f93b8790c8aea4c6 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/rTMlA8frV0A_raw.srt @@ -0,0 +1,2148 @@ +1 +00:00:06,210 --> 00:00:08,910 +Today, inshallah, we'll continue chapter nine. + +2 +00:00:09,390 --> 00:00:14,230 +We'll talk in details about one-tailed test. Last + +3 +00:00:14,230 --> 00:00:17,950 +time, we talked about two-tailed test. And we + +4 +00:00:17,950 --> 00:00:21,690 +discussed that there are three tools in order to + +5 +00:00:21,690 --> 00:00:25,370 +test the null hypothesis. The first one is + +6 +00:00:25,370 --> 00:00:28,510 +critical value approach, the second B value + +7 +00:00:28,510 --> 00:00:32,060 +approach, and confidence interval. Keep in mind + +8 +00:00:32,060 --> 00:00:35,480 +the last approach, confidence interval, is used + +9 +00:00:35,480 --> 00:00:39,880 +only for two-tailed tests. So now for one-tailed + +10 +00:00:39,880 --> 00:00:44,040 +test, we are going to use two approaches, critical + +11 +00:00:44,040 --> 00:00:49,500 +value and B value approach. So there are many + +12 +00:00:49,500 --> 00:00:54,340 +cases the alternative hypothesis focuses on + +13 +00:00:54,340 --> 00:00:58,420 +particular direction. In this case, we have a + +14 +00:00:58,420 --> 00:01:03,170 +certain direction. And this direction could be to + +15 +00:01:03,170 --> 00:01:07,510 +the left side. And it's called lower tail test. + +16 +00:01:08,290 --> 00:01:14,830 +And the other one greater than or upper tail test. + +17 +00:01:15,050 --> 00:01:18,050 +So there are two types of one tail test. One is + +18 +00:01:18,050 --> 00:01:21,070 +called lower test. In this case, they alternate by + +19 +00:01:21,070 --> 00:01:26,670 +hypothesis. Each one might be, for example, mu + +20 +00:01:26,670 --> 00:01:30,410 +smaller than 3. So the null hypothesis can be + +21 +00:01:30,410 --> 00:01:34,870 +written as mu is greater than or equal to 3. Just + +22 +00:01:34,870 --> 00:01:39,970 +for simple notation, we can use mu equal to 3 + +23 +00:01:39,970 --> 00:01:45,290 +instead of mu greater than or equal to 3. So we + +24 +00:01:45,290 --> 00:01:52,230 +can use this notation instead of using mu + +25 +00:01:52,230 --> 00:01:55,550 +is greater than or equal to 3. It's better to use + +26 +00:01:55,550 --> 00:02:00,210 +this notation. Because as we know, H1 is the + +27 +00:02:00,210 --> 00:02:04,870 +opposite of H0. So if under H0, we have a mu + +28 +00:02:04,870 --> 00:02:07,830 +greater than or equal to 3, then for the + +29 +00:02:07,830 --> 00:02:10,430 +alternative hypothesis, it could be a mu smaller + +30 +00:02:10,430 --> 00:02:14,810 +than 3. But just to use simple notation, we may + +31 +00:02:14,810 --> 00:02:18,790 +write mu equals 3 against the alternative. + +32 +00:02:19,270 --> 00:02:22,670 +Actually, we are focusing on the alternative + +33 +00:02:22,670 --> 00:02:27,990 +hypothesis, because the direction of this one + +34 +00:02:27,990 --> 00:02:34,610 +gives the rejection region of the test because my + +35 +00:02:34,610 --> 00:02:38,390 +rejection region actually based on the sign or the + +36 +00:02:38,390 --> 00:02:42,150 +direction under the alternative hypothesis so + +37 +00:02:42,150 --> 00:02:46,530 +again this is called lower tail test since the + +38 +00:02:46,530 --> 00:02:49,190 +alternative hypothesis is focused on the lower + +39 +00:02:49,190 --> 00:02:53,290 +tail below the mean of three three is just an + +40 +00:02:53,290 --> 00:02:58,120 +example the other one When we are testing Mu + +41 +00:02:58,120 --> 00:03:01,940 +smaller than or equal to 3 against Mu above 3, in + +42 +00:03:01,940 --> 00:03:05,300 +this case, this one is called an upper tail test + +43 +00:03:05,300 --> 00:03:09,000 +since the alternative hypothesis is focused on the + +44 +00:03:09,000 --> 00:03:12,840 +upper tail above the minimum 3. Now, how can we + +45 +00:03:12,840 --> 00:03:16,340 +state the appropriate null and alternative + +46 +00:03:16,340 --> 00:03:21,620 +hypothesis? The answer depends on the problem + +47 +00:03:21,620 --> 00:03:24,320 +itself. So by using the problem, we can determine + +48 +00:03:25,110 --> 00:03:29,990 +If the test is lower tail or upper tail. So you + +49 +00:03:29,990 --> 00:03:33,710 +have to state carefully both null and alternative + +50 +00:03:33,710 --> 00:03:37,230 +hypothesis. So for example, if the problem says + +51 +00:03:37,230 --> 00:03:44,250 +increase, it means a mu is above. If the problem + +52 +00:03:44,250 --> 00:03:50,130 +says smaller than or decrease from whatever the + +53 +00:03:50,130 --> 00:03:53,270 +value is, then we have to use a mu smaller than + +54 +00:03:53,270 --> 00:03:57,230 +that value. Any question? So that's how can we + +55 +00:03:57,230 --> 00:04:01,230 +state the null and alternative hypothesis for one + +56 +00:04:01,230 --> 00:04:04,830 +TAIL test. Let's see in detail the rejection + +57 +00:04:04,830 --> 00:04:09,390 +regions for lower and upper TAIL tests. For lower + +58 +00:04:09,390 --> 00:04:13,330 +TAIL test, so in this case we are focusing on the + +59 +00:04:13,330 --> 00:04:17,770 +left side, so my rejection region should be this + +60 +00:04:17,770 --> 00:04:24,670 +one. Now, we are testing our hypothesis at level + +61 +00:04:24,670 --> 00:04:28,950 +of significance alpha. For two-tiered test, we + +62 +00:04:28,950 --> 00:04:32,250 +split this alpha by two, because we have two + +63 +00:04:32,250 --> 00:04:35,090 +rejection regions, one to the right and other to + +64 +00:04:35,090 --> 00:04:38,150 +the left side. But here there is only one side, so + +65 +00:04:38,150 --> 00:04:41,010 +one direction, so we have to keep alpha as it is. + +66 +00:04:41,330 --> 00:04:43,810 +So we have alpha here, so they accept the + +67 +00:04:43,810 --> 00:04:50,250 +rejection region below minus z alpha or minus z + +68 +00:04:50,250 --> 00:04:55,080 +alpha, depends on Sigma, known or unknown. So it's + +69 +00:04:55,080 --> 00:04:58,220 +the same concepts as we discussed before. So my + +70 +00:04:58,220 --> 00:05:01,100 +rejection region is the area to the left side. So + +71 +00:05:01,100 --> 00:05:05,260 +for this particular hypothesis, if we are talking + +72 +00:05:05,260 --> 00:05:11,540 +about testing Mu smaller than 3, then we may + +73 +00:05:11,540 --> 00:05:12,820 +reject F0. + +74 +00:05:17,100 --> 00:05:25,980 +If U is a statistic, Or T is smaller than minus + +75 +00:05:25,980 --> 00:05:31,160 +the alpha. So there is only one rejection region + +76 +00:05:31,160 --> 00:05:34,600 +in this case because we are talking about one tail + +77 +00:05:34,600 --> 00:05:38,980 +test. So again, my critical value is only one + +78 +00:05:38,980 --> 00:05:42,040 +critical value because here it's just one tier + +79 +00:05:42,040 --> 00:05:46,160 +test. It's negative z alpha or negative z alpha. + +80 +00:05:46,620 --> 00:05:50,500 +So we reject the null hypothesis if the value of + +81 +00:05:50,500 --> 00:05:54,040 +the z statistic falls in the rejection region. It + +82 +00:05:54,040 --> 00:05:58,860 +means that Z statistic is smaller than minus Z + +83 +00:05:58,860 --> 00:06:03,760 +alpha. That's for lower tail test. For the upper + +84 +00:06:03,760 --> 00:06:06,860 +tail, vice versa actually. It's the same, but here + +85 +00:06:06,860 --> 00:06:12,540 +the rejection region is on the right side, the + +86 +00:06:12,540 --> 00:06:16,020 +upper tail. So here we reject the null hypothesis + +87 +00:06:16,020 --> 00:06:22,750 +for the other case. If we are testing Mu smaller + +88 +00:06:22,750 --> 00:06:27,330 +than or equal to 3 against Mu is above 3. The + +89 +00:06:27,330 --> 00:06:33,750 +rejection is really on this area. So Z alpha or + +90 +00:06:33,750 --> 00:06:40,330 +above it. So we reject H0 + +91 +00:06:40,330 --> 00:06:50,050 +if my Z statistic is above Z alpha. So that's for + +92 +00:06:50,050 --> 00:06:55,950 +lower and upper tail test. And actually, if these + +93 +00:06:55,950 --> 00:06:59,770 +statistics falls below in this case, Z alpha, then + +94 +00:06:59,770 --> 00:07:03,250 +it falls in the non-rejection region. So we don't + +95 +00:07:03,250 --> 00:07:06,050 +reject the null hypothesis. That means there is + +96 +00:07:06,050 --> 00:07:09,410 +insufficient evidence to support the alternative + +97 +00:07:09,410 --> 00:07:14,070 +hypothesis. So that's for one tail test, either + +98 +00:07:14,070 --> 00:07:21,120 +lower or the upper tail. Let's see an example for + +99 +00:07:21,120 --> 00:07:25,500 +opportunity test when sigma is unknown. Again, the + +100 +00:07:25,500 --> 00:07:28,400 +idea is the same. Sigma is known or unknown. We + +101 +00:07:28,400 --> 00:07:33,980 +just replace z by t, sigma by s. That's all. Here, + +102 +00:07:34,420 --> 00:07:38,740 +for example, a phone industry manager thinks that + +103 +00:07:38,740 --> 00:07:42,600 +customer monthly cell phone bills have increased. + +104 +00:07:43,990 --> 00:07:49,030 +So he thought that the bills have increased. Now, + +105 +00:07:49,110 --> 00:07:52,490 +by using this statement, we can figure out the + +106 +00:07:52,490 --> 00:07:57,230 +alternative hypothesis. It's aborted. And now, + +107 +00:07:57,350 --> 00:08:00,670 +average over $52 per month. + +108 +00:08:04,330 --> 00:08:11,090 +It says that he thinks that the customer monthly + +109 +00:08:11,090 --> 00:08:14,850 +cellphone bills have increased. Increased means mu + +110 +00:08:14,850 --> 00:08:17,710 +is above $52. + +111 +00:08:18,550 --> 00:08:23,190 +The company wishes to test this claim. Here we are + +112 +00:08:23,190 --> 00:08:28,330 +assuming the population is normally distributed. + +113 +00:08:29,270 --> 00:08:32,710 +So first step, we have to state the appropriate + +114 +00:08:32,710 --> 00:08:35,850 +null and alternative hypothesis. So based on this + +115 +00:08:35,850 --> 00:08:39,490 +problem, we can easily figure out that we are + +116 +00:08:39,490 --> 00:08:43,890 +testing mu smaller than or equal to 52 against the + +117 +00:08:43,890 --> 00:08:50,270 +alternative, mu is above 52. So again, mu is + +118 +00:08:50,270 --> 00:08:54,070 +smaller than versus + +119 +00:08:54,070 --> 00:09:00,580 +mu is above. So this is step number one. So we + +120 +00:09:00,580 --> 00:09:03,740 +have to form or to state a null and alternative + +121 +00:09:03,740 --> 00:09:09,400 +hypothesis. So the mu above 52 means the average + +122 +00:09:09,400 --> 00:09:15,460 +is greater than $52 per month. Now suppose, for + +123 +00:09:15,460 --> 00:09:20,820 +example, my alpha is 10%. And + +124 +00:09:20,820 --> 00:09:25,160 +we choose a random sample of size 25. Now by using + +125 +00:09:25,160 --> 00:09:27,300 +this information, we can determine the rejection + +126 +00:09:27,300 --> 00:09:32,170 +region. Now, the problem mentioned that sigma is + +127 +00:09:32,170 --> 00:09:34,250 +unknown, and the population is normally + +128 +00:09:34,250 --> 00:09:39,490 +distributed. In this case, we have to use T. Now, + +129 +00:09:39,570 --> 00:09:41,750 +my rejection region, since we are talking about + +130 +00:09:41,750 --> 00:09:46,010 +testing upper tilted, so my rejection region + +131 +00:09:46,010 --> 00:09:51,550 +should be to the right side, T alpha. It's above. + +132 +00:09:51,790 --> 00:09:56,600 +Now, T alpha, it means T 10%. And degrees of + +133 +00:09:56,600 --> 00:10:00,920 +freedom, 24. I think many times we used the T + +134 +00:10:00,920 --> 00:10:06,660 +table. So by using T table, you can find that your + +135 +00:10:06,660 --> 00:10:13,760 +critical value is 1.318. So that's your critical + +136 +00:10:13,760 --> 00:10:25,460 +value. Now, my decision is, if T statistic If the + +137 +00:10:25,460 --> 00:10:28,960 +value of T statistic lies in this rejection + +138 +00:10:28,960 --> 00:10:32,760 +region, we reject the null hypothesis. So if T + +139 +00:10:32,760 --> 00:10:44,660 +statistic is above 1.38, then we reject the null + +140 +00:10:44,660 --> 00:10:47,770 +hypothesis. So let's see if we reject it. or don't + +141 +00:10:47,770 --> 00:10:50,570 +reject. So we reject the null hypothesis if your t + +142 +00:10:50,570 --> 00:10:54,390 +-statistic value is above or is greater than 1 + +143 +00:10:54,390 --> 00:11:00,190 +.318. Now suppose for example a sample is taken + +144 +00:11:00,190 --> 00:11:01,690 +with the following results. + +145 +00:11:04,690 --> 00:11:09,130 +N is 25. So we select a random sample of size 25. + +146 +00:11:09,910 --> 00:11:16,950 +This sample gives an average of 53.1 And sample + +147 +00:11:16,950 --> 00:11:19,950 +standard deviation of 10. Now by using this + +148 +00:11:19,950 --> 00:11:22,910 +information, we can determine easily the value of + +149 +00:11:22,910 --> 00:11:27,130 +T statistic. So T stat, the formula as we + +150 +00:11:27,130 --> 00:11:32,370 +discussed in chapter 8, x bar minus b divided by s + +151 +00:11:32,370 --> 00:11:35,670 +over root, and here we replace sigma by s because + +152 +00:11:35,670 --> 00:11:38,790 +sigma is unknown. Straightforward calculation + +153 +00:11:38,790 --> 00:11:39,330 +gives + +154 +00:11:45,800 --> 00:11:51,320 +There are two approaches to reach your conclusion + +155 +00:11:51,320 --> 00:11:55,380 +about this example. Either use critical value + +156 +00:11:55,380 --> 00:11:59,120 +approach or B value. In this case, we cannot use + +157 +00:11:59,120 --> 00:12:03,520 +the two-sided confidence interval approach. So + +158 +00:12:03,520 --> 00:12:08,480 +let's see if this value, by using now approach + +159 +00:12:08,480 --> 00:12:08,980 +number one, + +160 +00:12:15,750 --> 00:12:20,190 +In the exam, you don't have to use both, just use + +161 +00:12:20,190 --> 00:12:24,670 +one of these. Unless the problem determines that + +162 +00:12:24,670 --> 00:12:28,890 +you have to use critical value or B value or + +163 +00:12:28,890 --> 00:12:32,750 +confidence interval, for example, if it's two + +164 +00:12:32,750 --> 00:12:35,770 +-sided. Sometimes maybe I will ask you to solve + +165 +00:12:35,770 --> 00:12:40,950 +the problems by using three different ways or two + +166 +00:12:40,950 --> 00:12:44,980 +different methods, whatever. But if it's just + +167 +00:12:44,980 --> 00:12:47,380 +solve the problem with P, you may use the critical + +168 +00:12:47,380 --> 00:12:53,340 +value approach or P-value. So let's see now. For + +169 +00:12:53,340 --> 00:12:57,840 +the critical value approach, one more time, your + +170 +00:12:57,840 --> 00:13:05,540 +critical value is 1.38. Now, is this value falls + +171 +00:13:05,540 --> 00:13:09,960 +in the rejection or non-rejection region? Now, + +172 +00:13:10,000 --> 00:13:13,810 +this value is smaller than 1.318. So this value + +173 +00:13:13,810 --> 00:13:18,590 +actually falls in the non-rejection region. So we + +174 +00:13:18,590 --> 00:13:26,350 +sense this step is smaller than, which is 0.55, + +175 +00:13:28,910 --> 00:13:32,670 +smaller + +176 +00:13:32,670 --> 00:13:39,750 +than 1.318, then we don't reject the null + +177 +00:13:39,750 --> 00:13:40,170 +hypothesis. + +178 +00:13:43,350 --> 00:13:49,770 +Don't reject. It's zero. That means there is + +179 +00:13:49,770 --> 00:13:53,310 +insufficient evidence to support the claim. And + +180 +00:13:53,310 --> 00:13:57,310 +the claim is the mean is above 50. So your + +181 +00:13:57,310 --> 00:14:02,750 +conclusion should be written by using this way. We + +182 +00:14:02,750 --> 00:14:05,950 +don't reject the null hypothesis because or since + +183 +00:14:05,950 --> 00:14:10,670 +this statistic is smaller than 1.318. That means + +184 +00:14:10,670 --> 00:14:13,750 +there's not sufficient evidence that the mean bill + +185 +00:14:13,750 --> 00:14:19,550 +is over $52. So that's by using a critical value + +186 +00:14:19,550 --> 00:14:19,910 +approach. + +187 +00:14:22,950 --> 00:14:27,650 +The other approach by using B-value. unfortunately + +188 +00:14:27,650 --> 00:14:34,130 +T-tables don't give the exact b-value so here we + +189 +00:14:34,130 --> 00:14:38,590 +can use either excel spreadsheet to get the exact + +190 +00:14:38,590 --> 00:14:44,310 +b-value or any statistical software packages might + +191 +00:14:44,310 --> 00:14:48,610 +give the accurate result but the tables we have + +192 +00:14:48,610 --> 00:14:51,650 +gives the approximate b-value + +193 +00:14:54,540 --> 00:14:59,300 +If you, if we have the table for the, for this + +194 +00:14:59,300 --> 00:15:02,640 +particular example, let's see how can we figure + +195 +00:15:02,640 --> 00:15:05,980 +out the B value by using the T table we have. + +196 +00:15:14,320 --> 00:15:22,860 +So let's open the T table. It takes a second. So + +197 +00:15:22,860 --> 00:15:24,180 +this is statistical table. + +198 +00:15:27,060 --> 00:15:31,960 +So this + +199 +00:15:31,960 --> 00:15:39,540 +is your T table. Now we are looking for B value at + +200 +00:15:39,540 --> 00:15:44,060 +degrees of freedom of 24. Because the sample size + +201 +00:15:44,060 --> 00:15:47,260 +is 25. Now look at 24. + +202 +00:15:49,880 --> 00:15:51,760 +So my V value again. + +203 +00:15:57,400 --> 00:16:01,920 +Your V value is + +204 +00:16:01,920 --> 00:16:08,120 +probability of T greater than 0.55. Because the T + +205 +00:16:08,120 --> 00:16:11,780 +statistic is 0.55. Now let's compute this area. + +206 +00:16:12,710 --> 00:16:19,830 +above 0.55 now if we have T table 24 degrees of + +207 +00:16:19,830 --> 00:16:26,530 +freedom we are looking for 0.55 the first value + +208 +00:16:26,530 --> 00:16:34,910 +here is 0.685 next one is 0.8 so it's increased so + +209 +00:16:34,910 --> 00:16:42,060 +my answer could be this P value over 25 or You + +210 +00:16:42,060 --> 00:16:45,540 +think my point 55 is to the left of this value? + +211 +00:16:45,660 --> 00:16:48,580 +Yes. So my B value is to the left of this point. + +212 +00:16:49,660 --> 00:16:54,520 +Now here, as this statistic decreases, B value + +213 +00:16:54,520 --> 00:16:59,520 +decreases. So vice versa. There is inverse + +214 +00:16:59,520 --> 00:17:04,780 +relationship between T value and B value. Now, 25 + +215 +00:17:04,780 --> 00:17:09,420 +to the right, 20, 15, so the values are decreasing + +216 +00:17:09,420 --> 00:17:12,460 +in this case. So what do you think? My B value is + +217 +00:17:12,460 --> 00:17:18,160 +above or smaller than 25? Above. So your B value + +218 +00:17:18,160 --> 00:17:24,320 +in this case is greater than 25. Again, T table + +219 +00:17:24,320 --> 00:17:28,120 +does not give the exact B value. So just you can + +220 +00:17:28,120 --> 00:17:32,820 +say my B value is above 25%. Always, as we + +221 +00:17:32,820 --> 00:17:35,300 +mentioned before, we reject the null hypothesis. + +222 +00:17:36,700 --> 00:17:43,400 +Always we reject H0 if your B value is smaller + +223 +00:17:43,400 --> 00:17:49,660 +than R. Always. Now this rule does not depend on + +224 +00:17:49,660 --> 00:17:53,460 +the alternative hypothesis. Always we reject the + +225 +00:17:53,460 --> 00:17:56,680 +null hypothesis if my B value is smaller than R. + +226 +00:18:00,000 --> 00:18:03,920 +Does this B value smaller than alpha, alpha of 10 + +227 +00:18:03,920 --> 00:18:10,580 +%? My B value is above 25, greater than 0.25%. So + +228 +00:18:10,580 --> 00:18:16,180 +this B value is above 10%. So we have to reject if + +229 +00:18:16,180 --> 00:18:18,520 +B value is smaller than alpha. In this case, B + +230 +00:18:18,520 --> 00:18:21,300 +value is greater than alpha, so we don't reject + +231 +00:18:21,300 --> 00:18:23,920 +alpha. Make sense? + +232 +00:18:26,750 --> 00:18:31,050 +Now, the exact v-value is 0.2937. + +233 +00:18:33,370 --> 00:18:38,970 +T-table gives this result, greater than 25%. The + +234 +00:18:38,970 --> 00:18:44,430 +exact is 0.2937. Again, since my v-value is above + +235 +00:18:44,430 --> 00:18:49,930 +10% or greater than 10%, so we don't reject the + +236 +00:18:49,930 --> 00:18:53,430 +null hypothesis. Now, let's see how can we use + +237 +00:18:53,430 --> 00:18:56,350 +Excel to find the exact. + +238 +00:18:58,830 --> 00:19:04,970 +I will use Excel to find the exact b-value. + +239 +00:19:09,730 --> 00:19:12,190 +Here you press on function. + +240 +00:19:16,050 --> 00:19:19,270 +Then we have here T distribution. + +241 +00:19:29,570 --> 00:19:33,910 +X, it means the value of the test statistic. In + +242 +00:19:33,910 --> 00:19:39,550 +this case, it's 0.55. Degrees of freedom at one + +243 +00:19:39,550 --> 00:19:44,770 +floor. Tails, we are talking about one-tailed + +244 +00:19:44,770 --> 00:19:49,720 +test, so it's one. So here, just write the value + +245 +00:19:49,720 --> 00:19:53,260 +of the statistic, degrees of freedom, then 1. Now, + +246 +00:19:53,680 --> 00:19:58,900 +the exact p-value is 0.2937. So that's the exact p + +247 +00:19:58,900 --> 00:20:06,020 +-value. Exact answer equal 0.2937. + +248 +00:20:07,480 --> 00:20:12,050 +So either one will give the same conclusion. It's + +249 +00:20:12,050 --> 00:20:16,970 +2.937 or greater than 25%. We reject a p-value + +250 +00:20:16,970 --> 00:20:19,890 +smaller than alpha, but this p-value is greater + +251 +00:20:19,890 --> 00:20:22,390 +than alpha, so we don't reject another hypothesis. + +252 +00:20:24,710 --> 00:20:29,350 +So we end with the same conclusion. Actually, this + +253 +00:20:29,350 --> 00:20:38,960 +slide gives how can we use t-test. Excelsior to + +254 +00:20:38,960 --> 00:20:44,740 +find the value of, or find of B value. That's all + +255 +00:20:44,740 --> 00:20:48,660 +for testing about the population mean if sigma is + +256 +00:20:48,660 --> 00:20:52,460 +known or sigma is unknown for two sided test or + +257 +00:20:52,460 --> 00:20:58,510 +one sided, upper or lower sided test. We mentioned + +258 +00:20:58,510 --> 00:21:01,830 +before that there are two types of testing. One is + +259 +00:21:01,830 --> 00:21:06,370 +called hypothesis testing for the mean and the + +260 +00:21:06,370 --> 00:21:11,570 +other for the proportion. Because as we mentioned + +261 +00:21:11,570 --> 00:21:14,790 +before, there are two types of data. One is the + +262 +00:21:14,790 --> 00:21:15,550 +numerical data. + +263 +00:21:22,130 --> 00:21:26,450 +Now, for numerical data, we have to use the means. + +264 +00:21:27,050 --> 00:21:30,390 +Otherwise, if the data is not numeric, I mean if + +265 +00:21:30,390 --> 00:21:34,690 +it is qualitative, we have to use proportion. For + +266 +00:21:34,690 --> 00:21:39,010 +example, if we are talking about gender, so it's + +267 +00:21:39,010 --> 00:21:42,490 +proportion we have to use instead of the means. + +268 +00:21:44,810 --> 00:21:49,290 +Let's see. Now, if we have data on gender. Gender + +269 +00:21:49,290 --> 00:21:54,390 +is classified males and females. Suppose, for + +270 +00:21:54,390 --> 00:21:59,790 +example, you select a random sample of size 100, + +271 +00:22:01,910 --> 00:22:07,270 +and you are interested in number of female + +272 +00:22:07,270 --> 00:22:07,810 +students. + +273 +00:22:12,410 --> 00:22:18,010 +And the sample has, for example, 46 females. + +274 +00:22:21,310 --> 00:22:26,230 +So now your proportion is x divided by n, 46 + +275 +00:22:26,230 --> 00:22:28,470 +divided by 100, so 0.46. + +276 +00:22:31,350 --> 00:22:35,230 +You cannot say for example the average of gender + +277 +00:22:35,230 --> 00:22:40,480 +for example is 1.3. It has no meaning that the + +278 +00:22:40,480 --> 00:22:44,860 +average is 1.3. You have to say that, for example, + +279 +00:22:45,100 --> 00:22:52,540 +males or females represents 46%. Rather than + +280 +00:22:52,540 --> 00:22:55,840 +saying the average, for example, is 1.3. This one + +281 +00:22:55,840 --> 00:22:57,200 +has no meaning. + +282 +00:23:00,120 --> 00:23:04,520 +So if we are talking about two possible outcomes, + +283 +00:23:05,160 --> 00:23:09,300 +success or failure, switch on or switch off, a + +284 +00:23:09,300 --> 00:23:12,680 +good item, defective item, and so on, we have to + +285 +00:23:12,680 --> 00:23:16,160 +use a proportion instead of the mean. Here we'll + +286 +00:23:16,160 --> 00:23:20,100 +talk about in details about hypothesis testing for + +287 +00:23:20,100 --> 00:23:26,900 +a proportions. So in this case, your problem + +288 +00:23:26,900 --> 00:23:29,520 +involves categorical variables. It means we have + +289 +00:23:31,390 --> 00:23:35,710 +classification either yes or no males females and + +290 +00:23:35,710 --> 00:23:38,970 +so on so two possible outcomes possesses + +291 +00:23:38,970 --> 00:23:41,910 +characteristic of interest so suppose i am + +292 +00:23:41,910 --> 00:23:47,580 +interested in number of defective items that is + +293 +00:23:47,580 --> 00:23:51,940 +produced by a firm. So my interest here in this + +294 +00:23:51,940 --> 00:23:56,020 +case is number of defective items. So number of + +295 +00:23:56,020 --> 00:24:01,620 +defective items is your x. So for example, suppose + +296 +00:24:01,620 --> 00:24:08,660 +the firm introduces 1,000 items, and we found that + +297 +00:24:08,660 --> 00:24:13,800 +10 of them are defective. So the proportion of + +298 +00:24:13,800 --> 00:24:17,130 +defective in this case is x over n. And we are + +299 +00:24:17,130 --> 00:24:20,730 +interested in the population proportion. As we + +300 +00:24:20,730 --> 00:24:24,950 +mentioned before, it's pi. So pi is the population + +301 +00:24:24,950 --> 00:24:30,890 +proportion. And actually, this p or pi ranges + +302 +00:24:30,890 --> 00:24:36,470 +between 0 and 1. So it never exceeds 1 or below 0. + +303 +00:24:37,830 --> 00:24:42,030 +So again, this slide actually is the same as we + +304 +00:24:42,030 --> 00:24:47,550 +have discussed in Chapter 8. The sample proportion + +305 +00:24:47,550 --> 00:24:54,210 +is P. P is X over N. And X is the number in + +306 +00:24:54,210 --> 00:24:57,510 +category of interest in sample. N is the sample + +307 +00:24:57,510 --> 00:25:03,790 +size. And we know that if the two conditions, N pi + +308 +00:25:03,790 --> 00:25:10,150 +and N times 1 minus pi are at least 5, then P can + +309 +00:25:10,150 --> 00:25:13,570 +be approximated by normal distribution with mean + +310 +00:25:13,570 --> 00:25:18,310 +equal pi. And standard deviation equals square + +311 +00:25:18,310 --> 00:25:22,070 +root of pi 1 minus pi divided by n. So actually, + +312 +00:25:22,230 --> 00:25:26,670 +this slide is repeated. So again, your B value, + +313 +00:25:26,770 --> 00:25:31,150 +I'm sorry, your proportion is approximately + +314 +00:25:31,150 --> 00:25:38,250 +normally distributed of mean equals pi and sigma + +315 +00:25:38,250 --> 00:25:43,370 +pi 1 minus pi divided by n, all under the square + +316 +00:25:43,370 --> 00:25:48,880 +root. Now, based on this sampling distribution of + +317 +00:25:48,880 --> 00:25:54,980 +P, what's your z-statistic? As we mentioned in + +318 +00:25:54,980 --> 00:26:01,340 +chapter 6, the standard formula for z-statistic is + +319 +00:26:01,340 --> 00:26:07,260 +x times mean of x divided by sigma of x. This is + +320 +00:26:07,260 --> 00:26:11,890 +the standard formula for the z-score. In chapter + +321 +00:26:11,890 --> 00:26:14,890 +8, there are two cases. One is the mean as we + +322 +00:26:14,890 --> 00:26:18,330 +mentioned. So in this case, if we are talking + +323 +00:26:18,330 --> 00:26:23,090 +about the mean, we should have x bar minus the + +324 +00:26:23,090 --> 00:26:25,290 +mean of x bar divided by sigma of x bar. So it's + +325 +00:26:25,290 --> 00:26:29,970 +similar to this one. But here, we replace x by x + +326 +00:26:29,970 --> 00:26:33,830 +bar. From chapter 8, we know that the mean of x + +327 +00:26:33,830 --> 00:26:38,690 +bar is mu. And sigma of x bar is sigma of the root + +328 +00:26:38,690 --> 00:26:46,210 +n. Now, for this proportion, use this statistic is + +329 +00:26:46,210 --> 00:26:52,390 +again replace x by p minus mu minus p divided by + +330 +00:26:52,390 --> 00:26:59,810 +sigma of p. So p minus. The mean of p is pi. So + +331 +00:26:59,810 --> 00:27:08,270 +this is pi. Divided by sigma root pi 1 minus pi + +332 +00:27:08,270 --> 00:27:14,340 +divided by. So this is your Z statistic. So + +333 +00:27:14,340 --> 00:27:19,040 +actually, there is nothing new. We just repeated + +334 +00:27:19,040 --> 00:27:23,720 +the concepts from Chapter 8. + +335 +00:27:26,910 --> 00:27:30,370 +So this is your Z statistic, P minus Pi divided by + +336 +00:27:30,370 --> 00:27:34,110 +root Pi, 1 minus Pi divided by the sample size. + +337 +00:27:34,550 --> 00:27:38,650 +That is valid only if the two conditions are + +338 +00:27:38,650 --> 00:27:43,810 +satisfied. Which are N times Pi at least 5, and N + +339 +00:27:43,810 --> 00:27:49,130 +times 1 minus Pi is at least 5. If at least one of + +340 +00:27:49,130 --> 00:27:53,070 +these conditions is not satisfied, then we cannot + +341 +00:27:53,070 --> 00:27:58,060 +use the Z statistic. So there are two cases. If + +342 +00:27:58,060 --> 00:28:01,860 +the two conditions together satisfied, then we + +343 +00:28:01,860 --> 00:28:05,340 +have to use this statistic. Otherwise, if one of + +344 +00:28:05,340 --> 00:28:07,740 +the conditions is not satisfied, then we cannot + +345 +00:28:07,740 --> 00:28:13,420 +use the Z-state that says this case not discussed + +346 +00:28:13,420 --> 00:28:19,060 +in this chapter. So that's all for testing about + +347 +00:28:19,060 --> 00:28:24,760 +proportion. There is an equivalent form. of this + +348 +00:28:24,760 --> 00:28:32,100 +statistic, we may replace B by X. For example, we + +349 +00:28:32,100 --> 00:28:38,920 +know that B equals X over N. Now let's see if we + +350 +00:28:38,920 --> 00:28:46,720 +multiply N for numerator and denominator. So if we + +351 +00:28:46,720 --> 00:28:47,560 +multiply N here, + +352 +00:28:59,680 --> 00:29:02,440 +I will reach another formula for this statistic. + +353 +00:29:03,680 --> 00:29:06,260 +The first one depends on the sample proportion. + +354 +00:29:07,020 --> 00:29:11,820 +The other one will depend on x. Now, n, this one + +355 +00:29:11,820 --> 00:29:19,120 +equals n times b, which is x minus n times y n pi. + +356 +00:29:20,900 --> 00:29:32,320 +So again, n times b is x minus n pi. Now N, N dot + +357 +00:29:32,320 --> 00:29:36,720 +squared becomes N squared, so N squared, we have + +358 +00:29:36,720 --> 00:29:42,120 +N, so one cancelled, so N is left, so we have N pi + +359 +00:29:42,120 --> 00:29:43,500 +1. + +360 +00:29:45,140 --> 00:29:50,670 +These two statistics are equivalent. So you may + +361 +00:29:50,670 --> 00:29:56,290 +use b minus pi frequently. The common one actually + +362 +00:29:56,290 --> 00:30:00,270 +is this one, b minus pi divided by root, square + +363 +00:30:00,270 --> 00:30:03,390 +root of pi, 1 minus pi divided by n. So actually, + +364 +00:30:03,610 --> 00:30:07,390 +these two forms are equivalent. + +365 +00:30:09,190 --> 00:30:12,470 +In this case, the two conditions, x is greater + +366 +00:30:12,470 --> 00:30:17,790 +than or equal to 5, and n minus x is at least 5. + +367 +00:30:19,190 --> 00:30:24,790 +Let's look at this specific example. + +368 +00:30:26,650 --> 00:30:34,830 +A marketing company claims that it receives 8% + +369 +00:30:34,830 --> 00:30:40,170 +responses from its mailing. So now the claim is, + +370 +00:30:41,270 --> 00:30:46,770 +the company receives only 8% responses from its + +371 +00:30:46,770 --> 00:30:52,960 +mailing. So from their records, we know that the + +372 +00:30:52,960 --> 00:30:59,640 +proportion of response is 8%. To test this claim, + +373 +00:31:00,400 --> 00:31:06,800 +a random sample of 500 were surveyed with 25 + +374 +00:31:06,800 --> 00:31:10,980 +responses. So we are actually interested in the + +375 +00:31:10,980 --> 00:31:19,910 +number of response. So x is 25. So this survey of + +376 +00:31:19,910 --> 00:31:26,630 +500 gives 25 responses. Now test at 5% + +377 +00:31:26,630 --> 00:31:31,370 +significance limit. Now the direction is not + +378 +00:31:31,370 --> 00:31:37,730 +given, just pi equals 8%. So we have to test H0 + +379 +00:31:37,730 --> 00:31:44,570 +against H1 of pi does not equal, since the + +380 +00:31:44,570 --> 00:31:48,210 +direction is not given. This problem does not say + +381 +00:31:48,210 --> 00:31:52,310 +it's above or greater or decreased or increased. + +382 +00:31:52,670 --> 00:31:57,630 +So it's two-tailed test. So we are testing if 0 pi + +383 +00:31:57,630 --> 00:32:02,350 +equals 0.08 against the alternate hypothesis mu is + +384 +00:32:02,350 --> 00:32:07,250 +not 0.8. Now, the first step, we have to check the + +385 +00:32:07,250 --> 00:32:15,100 +two conditions, n times pi. N is 500, Pi is 8%. So + +386 +00:32:15,100 --> 00:32:20,120 +5 times 8 gives 40. Now the other condition is the + +387 +00:32:20,120 --> 00:32:23,980 +complement actually. So since N equals 500, so + +388 +00:32:23,980 --> 00:32:28,940 +this one should be 460. The reason behind that is + +389 +00:32:28,940 --> 00:32:35,640 +if we add N Pi and the other condition, N times 1 + +390 +00:32:35,640 --> 00:32:41,590 +minus Pi. So this gives N Pi plus N. factor here, + +391 +00:32:41,690 --> 00:32:46,010 +n minus n, y. So this cancels. So we end with n. + +392 +00:32:46,570 --> 00:32:52,710 +So the total should be 500. So if the n times y is + +393 +00:32:52,710 --> 00:32:58,470 +40, then n times 1 minus y is 460. So two + +394 +00:32:58,470 --> 00:33:02,510 +conditions are satisfied. Then we can use, we can + +395 +00:33:02,510 --> 00:33:05,890 +say that the sample proportion is approximately + +396 +00:33:05,890 --> 00:33:12,040 +normally distributed with mean equals y. with + +397 +00:33:12,040 --> 00:33:15,900 +standard deviation of square root pi 1 minus pi + +398 +00:33:15,900 --> 00:33:20,560 +divided by n. So that's your mean. So the mean is + +399 +00:33:20,560 --> 00:33:33,460 +pi. And sigma root pi, pi is 8%, times + +400 +00:33:33,460 --> 00:33:38,440 +1 minus pi is 98, times 2, divided by n, 500. + +401 +00:33:43,210 --> 00:33:47,350 +So your Z statistic, P, + +402 +00:33:49,110 --> 00:33:55,550 +now what's the value of P? P equals X over N. X is + +403 +00:33:55,550 --> 00:34:06,990 +given, X is 25, divided by 500, so P is 5%. So + +404 +00:34:06,990 --> 00:34:07,950 +now, Z statistic. + +405 +00:34:12,080 --> 00:34:16,560 +B minus Y divided + +406 +00:34:16,560 --> 00:34:26,080 +by this sigma which is 0.892 divided by 500. + +407 +00:34:27,120 --> 00:34:32,860 +This will give minus 2.47. So straightforward + +408 +00:34:32,860 --> 00:34:37,620 +calculation. It gives value of negative point, + +409 +00:34:38,340 --> 00:34:42,840 +negative 2.47 for the value of the test statistic. + +410 +00:34:44,160 --> 00:34:50,140 +Now let's look at three different approaches. + +411 +00:35:05,860 --> 00:35:12,700 +Now we are talking about alpha of 0.5%. So my + +412 +00:35:12,700 --> 00:35:17,000 +rejection region is + +413 +00:35:17,000 --> 00:35:22,940 +minus 1.96 to the left side and 1.96 to the right + +414 +00:35:22,940 --> 00:35:29,940 +side. If the value of the statistic falls in one + +415 +00:35:29,940 --> 00:35:32,020 +of these two rejection regions, then we have to + +416 +00:35:32,020 --> 00:35:37,160 +reject them all. Now this value actually falls in + +417 +00:35:37,160 --> 00:35:42,240 +the rejection region to the left side. So since z + +418 +00:35:42,240 --> 00:35:48,440 +star equals negative 2.47, smaller than negative 1 + +419 +00:35:48,440 --> 00:35:53,700 +.26, So it means the value of the test statistic + +420 +00:35:53,700 --> 00:35:58,700 +falls in the rejection region. Then my decision is + +421 +00:35:58,700 --> 00:36:03,240 +reject F0. + +422 +00:36:05,740 --> 00:36:13,060 +So again, your Z statistic negative 2.47 falls in + +423 +00:36:13,060 --> 00:36:17,620 +the rejection region. So my decision is we reject + +424 +00:36:17,620 --> 00:36:21,460 +the null hypothesis. There is sufficient evidence + +425 +00:36:21,460 --> 00:36:27,340 +to reject the company claim of 8% responses rate. + +426 +00:36:28,140 --> 00:36:32,260 +So this claim actually is incorrect. So you have + +427 +00:36:32,260 --> 00:36:38,020 +to reject this claim. It means we have to support + +428 +00:36:38,020 --> 00:36:41,340 +alternative hypothesis. So we end with this + +429 +00:36:41,340 --> 00:36:49,160 +result. That is pi is not 8%. So that's by using a + +430 +00:36:49,160 --> 00:36:53,620 +critical value approach. Any question? + +431 +00:36:58,420 --> 00:37:04,420 +Let's compute B value for the other approach. Now, + +432 +00:37:04,480 --> 00:37:09,780 +in this case, we are testing two-tailed test. So + +433 +00:37:09,780 --> 00:37:17,750 +your B value may be greater than Or smaller than. + +434 +00:37:18,230 --> 00:37:20,450 +So we have to compute one of these two, then + +435 +00:37:20,450 --> 00:37:23,430 +multiply the answer by two. Because the area to + +436 +00:37:23,430 --> 00:37:27,390 +the right of 2.47 equals the area to the left of + +437 +00:37:27,390 --> 00:37:32,010 +negative 2.47. So now, by using the ideas from + +438 +00:37:32,010 --> 00:37:37,030 +chapter six, let's see how can we compute U of V + +439 +00:37:37,030 --> 00:37:40,410 +value. Again, we are talking about total test. So + +440 +00:37:40,410 --> 00:37:47,840 +the U of V value is the right of Z. 2.47 or + +441 +00:37:47,840 --> 00:37:55,100 +smaller than negative 2.47. Now the table we have + +442 +00:37:55,100 --> 00:37:57,660 +gives the area to the left side. So it's better to + +443 +00:37:57,660 --> 00:38:03,580 +use the smaller than. So now by using T table, B + +444 +00:38:03,580 --> 00:38:08,340 +of Z negative less than negative 2.47. Let's look + +445 +00:38:08,340 --> 00:38:13,660 +at the table for + +446 +00:38:13,660 --> 00:38:19,330 +the normal Negative side. Look at negative 2.47. + +447 +00:38:21,250 --> 00:38:26,750 +Negative 2.4 all the way under 7 will get this + +448 +00:38:26,750 --> 00:38:29,750 +result. So it's 0068. + +449 +00:38:31,910 --> 00:38:37,350 +So this is one of the two areas. So the area below + +450 +00:38:37,350 --> 00:38:43,550 +negative 2.47 is 0068. The area above the same + +451 +00:38:43,550 --> 00:38:46,870 +value is the same area because it's symmetric. So + +452 +00:38:46,870 --> 00:38:49,570 +it means that just multiplying this by 2, you will + +453 +00:38:49,570 --> 00:38:52,930 +get 0.0136. + +454 +00:38:56,690 --> 00:38:59,730 +Now, always, as we mentioned before, always we + +455 +00:38:59,730 --> 00:39:02,970 +reject the null hypothesis if your b value is + +456 +00:39:02,970 --> 00:39:06,610 +smaller than alpha. Now, alpha is given by 5%. + +457 +00:39:06,610 --> 00:39:09,950 +Now, is this value smaller than alpha? The answer + +458 +00:39:09,950 --> 00:39:16,450 +is yes. So since my B value equals 0, 1, 3, 6, + +459 +00:39:16,570 --> 00:39:22,770 +smaller than 5%, then again, we reject the null + +460 +00:39:22,770 --> 00:39:26,170 +hypothesis. So we end with the same conclusion by + +461 +00:39:26,170 --> 00:39:33,570 +using the critical value. That's for using B value + +462 +00:39:33,570 --> 00:39:37,420 +approach. So here, we reject another hypothesis + +463 +00:39:37,420 --> 00:39:43,000 +since your B value is smaller than alpha. The last + +464 +00:39:43,000 --> 00:39:48,180 +approach, which is not given in + +465 +00:39:48,180 --> 00:39:52,960 +the slides you have critical value. I'm sorry, + +466 +00:39:53,320 --> 00:39:56,060 +confidence interval. And we know that confidence + +467 +00:39:56,060 --> 00:39:56,620 +interval + +468 +00:40:02,370 --> 00:40:09,210 +P plus or minus Z square root P 1 minus P divided + +469 +00:40:09,210 --> 00:40:22,490 +by N. P is 0.5, 0.5 plus or minus 196 times 0.595 + +470 +00:40:22,490 --> 00:40:27,330 +divided by N. Let's compute the critical, the two + +471 +00:40:27,330 --> 00:40:27,710 +limits. + +472 +00:40:35,030 --> 00:40:43,250 +So we have this value here represents the margin + +473 +00:40:43,250 --> 00:40:46,070 +of error. So let's compute the margin of error + +474 +00:40:46,070 --> 00:40:54,350 +first. So it's 1.96 times square root of 0.05 + +475 +00:40:54,350 --> 00:40:57,850 +times 0.95 divided by 500. + +476 +00:41:00,390 --> 00:41:08,040 +So the margin of error is 0.19. So 0, 5, plus + +477 +00:41:08,040 --> 00:41:11,660 +around 0, 1, 0, 2, around 0. For example, let's + +478 +00:41:11,660 --> 00:41:16,240 +say it's 0, 2. It's approximately 0, 2. So now the + +479 +00:41:16,240 --> 00:41:22,360 +confidence interval for pi, so 95 confidence + +480 +00:41:22,360 --> 00:41:30,640 +interval of pi is pi greater than or equal 0, 5 + +481 +00:41:30,640 --> 00:41:39,270 +minus 0, 2 is 3%. And plus 2 gives 5%. So now, pi, + +482 +00:41:39,550 --> 00:41:45,330 +the population proportion, falls between 3% and + +483 +00:41:45,330 --> 00:41:52,230 +7%. So you range here from 3% all the way up to + +484 +00:41:52,230 --> 00:42:00,590 +7%. That's pi. Now, we are testing about it's 0 if + +485 +00:42:00,590 --> 00:42:07,950 +y equals 8%. Now, is this value lies in the + +486 +00:42:07,950 --> 00:42:11,970 +interval or outside? This value actually lies + +487 +00:42:11,970 --> 00:42:16,010 +outside this interval, so it's never equal 0.08, + +488 +00:42:17,090 --> 00:42:21,350 +because pi in this confidence interval ranges + +489 +00:42:21,350 --> 00:42:28,040 +between 3% all the way up to 7%. Now, does 8% lie + +490 +00:42:28,040 --> 00:42:31,620 +in this interval? The answer is no. That means it + +491 +00:42:31,620 --> 00:42:34,620 +never equals 8%. So we have to reject another + +492 +00:42:34,620 --> 00:42:39,520 +hypothesis. So since the + +493 +00:42:39,520 --> 00:42:45,140 +confidence interval we have does not cover or + +494 +00:42:45,140 --> 00:42:51,640 +capture or contain pi of 8%, then we reject it. + +495 +00:42:54,600 --> 00:43:00,720 +So actually, there are three methods to solve this + +496 +00:43:00,720 --> 00:43:05,480 +problem. One is critical value approach. And in + +497 +00:43:05,480 --> 00:43:09,840 +this case, we just found the critical values here, + +498 +00:43:10,280 --> 00:43:14,300 +minus and plus 1.96. And the value of the + +499 +00:43:14,300 --> 00:43:19,230 +statistic fourth in the rejection region, so we + +500 +00:43:19,230 --> 00:43:22,230 +reject the null hypothesis. That's for the first + +501 +00:43:22,230 --> 00:43:26,370 +approach. The other one, the B value, and we found + +502 +00:43:26,370 --> 00:43:29,770 +that the B value is 0, 1, 3, 6, which is smaller + +503 +00:43:29,770 --> 00:43:32,590 +than alpha. Then again, we reject the null + +504 +00:43:32,590 --> 00:43:36,290 +hypothesis. The last approach is the confidence + +505 +00:43:36,290 --> 00:43:38,910 +interval approach, because here we are talking + +506 +00:43:38,910 --> 00:43:42,330 +about two-sided test. And the confidence is + +507 +00:43:42,330 --> 00:43:43,690 +approximately + +508 +00:43:45,410 --> 00:43:50,070 +ranges between three and seven percent. And my pi, + +509 +00:43:50,130 --> 00:43:52,990 +which I am talking about in the null hypothesis, + +510 +00:43:53,830 --> 00:43:56,490 +is not in the center, but I mean the confidence + +511 +00:43:56,490 --> 00:43:59,610 +interval does not capture the value of pi of eight + +512 +00:43:59,610 --> 00:44:04,550 +percent. Therefore, we reject the null hypothesis. + +513 +00:44:06,270 --> 00:44:11,790 +That's for testing about population promotion. + +514 +00:44:14,100 --> 00:44:14,720 +Any questions? + +515 +00:44:19,100 --> 00:44:23,060 +Next time, shall I start chapter 10? + +516 +00:44:27,060 --> 00:44:33,380 +Up to this point, we just explained hypothesis + +517 +00:44:33,380 --> 00:44:37,720 +testing about one sample. So there is only one + +518 +00:44:37,720 --> 00:44:41,000 +sample in chapter 9. Here, suppose there are two + +519 +00:44:41,000 --> 00:44:45,270 +samples. How can we conduct Hypothesizing for + +520 +00:44:45,270 --> 00:44:48,250 +comparing two population means. For example, + +521 +00:44:48,350 --> 00:44:52,010 +suppose we are teaching males and females, and we + +522 +00:44:52,010 --> 00:44:55,190 +are interested to see if there is a significant + +523 +00:44:55,190 --> 00:44:59,510 +difference between the performance of males and + +524 +00:44:59,510 --> 00:45:05,530 +females. For example, suppose the instructor + +525 +00:45:05,530 --> 00:45:11,670 +claimed that Males do better than females in the + +526 +00:45:11,670 --> 00:45:16,430 +exam. So how can we test if, for example, the mean + +527 +00:45:16,430 --> 00:45:23,210 +score for group A, for example, is greater than + +528 +00:45:23,210 --> 00:45:28,190 +the mean of group B? So in this case, there are + +529 +00:45:28,190 --> 00:45:31,910 +two samples. So how can we conduct hypothesis + +530 +00:45:31,910 --> 00:45:36,530 +testing for two sample tests? That will be in + +531 +00:45:36,530 --> 00:45:42,990 +chapter 10. So chapter 10 left for this course. In + +532 +00:45:42,990 --> 00:45:49,570 +addition to that, we'll discuss correlation and + +533 +00:45:49,570 --> 00:45:53,290 +simple linear regression after that. So maybe + +534 +00:45:53,290 --> 00:46:01,270 +we'll discuss two more chapters, 10 and 12. If we + +535 +00:46:01,270 --> 00:46:06,390 +have enough time, maybe we'll cover chapter 11. + +536 +00:46:07,550 --> 00:46:11,610 +Guys, it depends actually on the time we have. So + +537 +00:46:11,610 --> 00:46:17,130 +that's all for today. Any questions? Comments? + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/sLp0uBxxi1M_raw.json b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/sLp0uBxxi1M_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..447dbff28441a97ffaa5ba1abbebca154eced74f --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/sLp0uBxxi1M_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 1032, "start": 8.94, "end": 10.32, "text": " Last time we", "tokens": [5264, 565, 321], "avg_logprob": -0.53466796875, "compression_ratio": 0.6190476190476191, "no_speech_prob": 1.4901161193847656e-05, "words": [{"start": 8.94, "end": 9.74, "word": " Last", "probability": 0.2330322265625}, {"start": 9.74, "end": 10.14, "word": " time", "probability": 0.8896484375}, {"start": 10.14, "end": 10.32, "word": " we", "probability": 0.771484375}], "temperature": 1.0}, {"id": 2, "seek": 3918, "start": 11.44, "end": 39.18, "text": " talked about two sample tests and we covered one case when the population means we are selecting random samples and these samples are independent. So that's case number one, independent samples. And we assume sigma 1 and sigma 2 are unknown and equal. 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"end": 130.05, "text": " So in this case, Sigma 1 and Sigma 2 unknown, and they are not equal. So we assume both Sigmas unknown, but they are not equal. 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So that's the case number one, when the samples are independent. The second, suppose the populations of interest are related. 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Suppose these patients now have new treatment, suppose they are using now a drug B, new drug, suppose for three months. 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The other one with 160, for example, it becomes 150. 155 becomes 135. 135 becomes 120, and so on. 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It means before using drug B and after using drug B. And the question of interest is the new drug effective or not. Effective means in this case it reduces the high blood pressure. This type of experiment is called related.", "tokens": [293, 934, 13, 467, 1355, 949, 1228, 4110, 363, 293, 934, 1228, 4110, 363, 13, 400, 264, 1168, 295, 1179, 307, 264, 777, 4110, 4942, 420, 406, 13, 17764, 488, 1355, 294, 341, 1389, 309, 18081, 264, 1090, 3390, 3321, 13, 639, 2010, 295, 5120, 307, 1219, 4077, 13], "avg_logprob": -0.17812500268220902, "compression_ratio": 1.5359477124183007, "no_speech_prob": 0.0, "words": [{"start": 275.06, "end": 275.36, "word": " and", "probability": 0.375}, {"start": 275.36, "end": 275.78, "word": " after.", "probability": 0.75732421875}, {"start": 276.44, "end": 277.14, "word": " It", "probability": 0.947265625}, {"start": 277.14, "end": 277.46, "word": " means", "probability": 0.9248046875}, {"start": 277.46, "end": 277.96, "word": " before", "probability": 0.802734375}, {"start": 277.96, "end": 278.42, "word": " using", "probability": 0.93017578125}, {"start": 278.42, "end": 278.72, "word": " drug", "probability": 0.70556640625}, {"start": 278.72, "end": 279.0, "word": " B", "probability": 0.92822265625}, {"start": 279.0, "end": 279.34, "word": " and", "probability": 0.78173828125}, {"start": 279.34, "end": 279.74, "word": " after", "probability": 0.83251953125}, {"start": 279.74, "end": 280.1, "word": " using", "probability": 0.86474609375}, {"start": 280.1, "end": 280.4, "word": " drug", "probability": 0.91943359375}, {"start": 280.4, "end": 280.8, "word": " B.", "probability": 0.98486328125}, {"start": 281.14, "end": 281.3, "word": " And", "probability": 0.73486328125}, {"start": 281.3, "end": 281.42, "word": " the", "probability": 0.88818359375}, {"start": 281.42, "end": 281.72, "word": " question", "probability": 0.9326171875}, {"start": 281.72, "end": 281.86, "word": " of", "probability": 0.96923828125}, {"start": 281.86, "end": 282.34, "word": " interest", "probability": 0.90771484375}, {"start": 282.34, "end": 284.18, "word": " is", "probability": 0.443115234375}, {"start": 284.18, "end": 284.4, "word": " the", "probability": 0.8173828125}, {"start": 284.4, "end": 284.64, "word": " new", "probability": 0.91015625}, {"start": 284.64, "end": 285.02, "word": " drug", "probability": 0.9306640625}, {"start": 285.02, "end": 285.96, "word": " effective", "probability": 0.841796875}, {"start": 285.96, "end": 286.44, "word": " or", "probability": 0.96044921875}, {"start": 286.44, "end": 286.76, "word": " not.", "probability": 0.9482421875}, {"start": 287.34, "end": 287.84, "word": " Effective", "probability": 0.91357421875}, {"start": 287.84, "end": 288.3, "word": " means", "probability": 0.82373046875}, {"start": 288.3, "end": 288.62, "word": " in", "probability": 0.66259765625}, {"start": 288.62, "end": 288.86, "word": " this", "probability": 0.94580078125}, {"start": 288.86, "end": 289.32, "word": " case", "probability": 0.904296875}, {"start": 289.32, "end": 290.42, "word": " it", "probability": 0.7197265625}, {"start": 290.42, "end": 291.2, "word": " reduces", "probability": 0.95654296875}, {"start": 291.2, "end": 292.68, "word": " the", "probability": 0.90283203125}, {"start": 292.68, "end": 293.78, "word": " high", "probability": 0.93505859375}, {"start": 293.78, "end": 294.12, "word": " blood", "probability": 0.92822265625}, {"start": 294.12, "end": 294.94, "word": " pressure.", "probability": 0.935546875}, {"start": 297.98, "end": 298.84, "word": " This", "probability": 0.89111328125}, {"start": 298.84, "end": 299.3, "word": " type", "probability": 0.95556640625}, {"start": 299.3, "end": 299.88, "word": " of", "probability": 0.96337890625}, {"start": 299.88, "end": 300.34, "word": " experiment", "probability": 0.904296875}, {"start": 300.34, "end": 300.66, "word": " is", "probability": 0.9375}, {"start": 300.66, "end": 301.1, "word": " called", "probability": 0.89599609375}, {"start": 301.1, "end": 302.4, "word": " related.", "probability": 0.84765625}], "temperature": 1.0}, {"id": 12, "seek": 33292, "start": 303.88, "end": 332.92, "text": " Sometimes it's called related. Sometimes it's called pair. This name comes from here we have two measurements for the same person. So it looks like here, 145, 130. So this is pair number one. The other pair or the second pair is 160, 150, and so on.", "tokens": [4803, 309, 311, 1219, 4077, 13, 4803, 309, 311, 1219, 6119, 13, 639, 1315, 1487, 490, 510, 321, 362, 732, 15383, 337, 264, 912, 954, 13, 407, 309, 1542, 411, 510, 11, 3499, 20, 11, 19966, 13, 407, 341, 307, 6119, 1230, 472, 13, 440, 661, 6119, 420, 264, 1150, 6119, 307, 21243, 11, 8451, 11, 293, 370, 322, 13], "avg_logprob": -0.19505635148189107, "compression_ratio": 1.5625, "no_speech_prob": 0.0, "words": [{"start": 303.88, "end": 304.52, "word": " Sometimes", "probability": 0.607421875}, {"start": 304.52, "end": 304.8, "word": " it's", "probability": 0.904541015625}, {"start": 304.8, "end": 305.12, "word": " called", "probability": 0.908203125}, {"start": 305.12, "end": 308.84, "word": " related.", "probability": 0.2320556640625}, {"start": 309.92, "end": 310.32, "word": " Sometimes", "probability": 0.83740234375}, {"start": 310.32, "end": 310.62, "word": " it's", "probability": 0.793701171875}, {"start": 310.62, "end": 310.76, "word": " called", "probability": 0.84619140625}, {"start": 310.76, "end": 311.08, "word": " pair.", "probability": 0.630859375}, {"start": 312.68, "end": 313.06, "word": " This", "probability": 0.76416015625}, {"start": 313.06, "end": 313.44, "word": " name", "probability": 0.8759765625}, {"start": 313.44, "end": 314.52, "word": " comes", "probability": 0.86474609375}, {"start": 314.52, "end": 314.96, "word": " from", "probability": 0.888671875}, {"start": 314.96, "end": 315.8, "word": " here", "probability": 0.291015625}, {"start": 315.8, "end": 315.92, "word": " we", "probability": 0.76904296875}, {"start": 315.92, "end": 316.08, "word": " have", "probability": 0.94482421875}, {"start": 316.08, "end": 316.28, "word": " two", "probability": 0.92578125}, {"start": 316.28, "end": 316.82, "word": " measurements", "probability": 0.9306640625}, {"start": 316.82, "end": 317.26, "word": " for", "probability": 0.91845703125}, {"start": 317.26, "end": 317.44, "word": " the", "probability": 0.9150390625}, {"start": 317.44, "end": 318.18, "word": " same", "probability": 0.90869140625}, {"start": 318.18, "end": 318.86, "word": " person.", "probability": 0.880859375}, {"start": 319.88, "end": 320.22, "word": " So", "probability": 0.939453125}, {"start": 320.22, "end": 320.48, "word": " it", "probability": 0.91943359375}, {"start": 320.48, "end": 320.9, "word": " looks", "probability": 0.8486328125}, {"start": 320.9, "end": 321.36, "word": " like", "probability": 0.935546875}, {"start": 321.36, "end": 322.1, "word": " here,", "probability": 0.44091796875}, {"start": 322.32, "end": 323.14, "word": " 145,", "probability": 0.8388671875}, {"start": 323.34, "end": 323.96, "word": " 130.", "probability": 0.89794921875}, {"start": 324.74, "end": 324.94, "word": " So", "probability": 0.9296875}, {"start": 324.94, "end": 325.14, "word": " this", "probability": 0.87060546875}, {"start": 325.14, "end": 325.24, "word": " is", "probability": 0.91259765625}, {"start": 325.24, "end": 325.38, "word": " pair", "probability": 0.85498046875}, {"start": 325.38, "end": 325.6, "word": " number", "probability": 0.943359375}, {"start": 325.6, "end": 325.86, "word": " one.", "probability": 0.7568359375}, {"start": 326.78, "end": 327.04, "word": " The", "probability": 0.88818359375}, {"start": 327.04, "end": 327.4, "word": " other", "probability": 0.8671875}, {"start": 327.4, "end": 328.54, "word": " pair", "probability": 0.9169921875}, {"start": 328.54, "end": 328.66, "word": " or", "probability": 0.398193359375}, {"start": 328.66, "end": 328.78, "word": " the", "probability": 0.90966796875}, {"start": 328.78, "end": 329.08, "word": " second", "probability": 0.90673828125}, {"start": 329.08, "end": 329.28, "word": " pair", "probability": 0.92626953125}, {"start": 329.28, "end": 329.38, "word": " is", "probability": 0.91064453125}, {"start": 329.38, "end": 329.96, "word": " 160,", "probability": 0.93505859375}, {"start": 331.08, "end": 332.16, "word": " 150,", "probability": 0.92431640625}, {"start": 332.44, "end": 332.56, "word": " and", "probability": 0.935546875}, {"start": 332.56, "end": 332.74, "word": " so", "probability": 0.95166015625}, {"start": 332.74, "end": 332.92, "word": " on.", "probability": 0.9453125}], "temperature": 1.0}, {"id": 13, "seek": 35745, "start": 333.77, "end": 357.45, "text": " So it's called paired, sometimes called dependent, or matched samples. So related, paired, dependent, or matched pairs, the same meaning. So here we are testing about two related populations.", "tokens": [407, 309, 311, 1219, 25699, 11, 2171, 1219, 12334, 11, 420, 21447, 10938, 13, 407, 4077, 11, 25699, 11, 12334, 11, 420, 21447, 15494, 11, 264, 912, 3620, 13, 407, 510, 321, 366, 4997, 466, 732, 4077, 12822, 13], "avg_logprob": -0.1657226588577032, "compression_ratio": 1.5867768595041323, "no_speech_prob": 0.0, "words": [{"start": 333.77, "end": 334.15, "word": " So", "probability": 0.689453125}, {"start": 334.15, "end": 334.27, "word": " it's", "probability": 0.89453125}, {"start": 334.27, "end": 334.47, "word": " called", "probability": 0.89404296875}, {"start": 334.47, "end": 334.83, "word": " paired,", "probability": 0.806640625}, {"start": 335.29, "end": 335.79, "word": " sometimes", "probability": 0.94921875}, {"start": 335.79, "end": 336.21, "word": " called", "probability": 0.82421875}, {"start": 336.21, "end": 336.65, "word": " dependent,", "probability": 0.91552734375}, {"start": 337.15, "end": 339.11, "word": " or", "probability": 0.95751953125}, {"start": 339.11, "end": 339.55, "word": " matched", "probability": 0.457275390625}, {"start": 339.55, "end": 342.65, "word": " samples.", "probability": 0.55126953125}, {"start": 345.11, "end": 345.99, "word": " So", "probability": 0.9423828125}, {"start": 345.99, "end": 346.37, "word": " related,", "probability": 0.927734375}, {"start": 346.93, "end": 347.73, "word": " paired,", "probability": 0.91552734375}, {"start": 347.95, "end": 348.29, "word": " dependent,", "probability": 0.9189453125}, {"start": 348.59, "end": 348.71, "word": " or", "probability": 0.94482421875}, {"start": 348.71, "end": 348.95, "word": " matched", "probability": 0.84228515625}, {"start": 348.95, "end": 349.21, "word": " pairs,", "probability": 0.7314453125}, {"start": 349.31, "end": 349.41, "word": " the", "probability": 0.84423828125}, {"start": 349.41, "end": 349.59, "word": " same", "probability": 0.9140625}, {"start": 349.59, "end": 349.87, "word": " meaning.", "probability": 0.84033203125}, {"start": 351.59, "end": 352.47, "word": " So", "probability": 0.95166015625}, {"start": 352.47, "end": 352.95, "word": " here", "probability": 0.7978515625}, {"start": 352.95, "end": 353.09, "word": " we", "probability": 0.79931640625}, {"start": 353.09, "end": 353.29, "word": " are", "probability": 0.935546875}, {"start": 353.29, "end": 353.73, "word": " testing", "probability": 0.8876953125}, {"start": 353.73, "end": 355.31, "word": " about", "probability": 0.890625}, {"start": 355.31, "end": 356.13, "word": " two", "probability": 0.935546875}, {"start": 356.13, "end": 356.85, "word": " related", "probability": 0.9423828125}, {"start": 356.85, "end": 357.45, "word": " populations.", "probability": 0.94970703125}], "temperature": 1.0}, {"id": 14, "seek": 38725, "start": 358.59, "end": 387.25, "text": " Again, it's called paired or matched samples. They're repeated measures. Repeated means before and after for the same individual, for the same item, for the same person. Now, for example, suppose measurements for January is denoted by x1, and the other one is x2. Now, the first thing we have to do is to find or to compute the difference between paired values.", "tokens": [3764, 11, 309, 311, 1219, 25699, 420, 21447, 10938, 13, 814, 434, 10477, 8000, 13, 24927, 770, 1355, 949, 293, 934, 337, 264, 912, 2609, 11, 337, 264, 912, 3174, 11, 337, 264, 912, 954, 13, 823, 11, 337, 1365, 11, 7297, 15383, 337, 7061, 307, 1441, 23325, 538, 2031, 16, 11, 293, 264, 661, 472, 307, 2031, 17, 13, 823, 11, 264, 700, 551, 321, 362, 281, 360, 307, 281, 915, 420, 281, 14722, 264, 2649, 1296, 25699, 4190, 13], "avg_logprob": -0.15577362259713615, "compression_ratio": 1.6454545454545455, "no_speech_prob": 0.0, "words": [{"start": 358.59, "end": 358.97, "word": " Again,", "probability": 0.57177734375}, {"start": 359.07, "end": 359.15, "word": " it's", "probability": 0.919921875}, {"start": 359.15, "end": 359.37, "word": " called", "probability": 0.80322265625}, {"start": 359.37, "end": 359.63, "word": " paired", "probability": 0.7099609375}, {"start": 359.63, "end": 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So we have the difference between the two values. So here we have Di. Di is just x1 minus x2 or x2 minus x1. 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We assume both populations are normally distributed. Otherwise, if the populations are not normal, we should have large samples. It means the sample size should be at least 30 in order to apply the central limit theorem if the underlying population is not normally distributed. So again, we have measurements x.", "tokens": [823, 264, 17695, 366, 264, 912, 13, 492, 6552, 1293, 12822, 366, 5646, 12631, 13, 10328, 11, 498, 264, 12822, 366, 406, 2710, 11, 321, 820, 362, 2416, 10938, 13, 467, 1355, 264, 6889, 2744, 820, 312, 412, 1935, 2217, 294, 1668, 281, 3079, 264, 5777, 4948, 20904, 498, 264, 14217, 4415, 307, 406, 5646, 12631, 13, 407, 797, 11, 321, 362, 15383, 2031, 13], "avg_logprob": -0.13091856105761093, "compression_ratio": 1.7563451776649746, "no_speech_prob": 0.0, "words": [{"start": 416.95, "end": 417.29, "word": " Now", "probability": 0.837890625}, {"start": 417.29, "end": 417.45, "word": " the", "probability": 0.578125}, {"start": 417.45, "end": 417.93, "word": " assumptions", "probability": 0.9521484375}, {"start": 417.93, "end": 418.55, "word": " are", "probability": 0.9375}, {"start": 418.55, "end": 418.77, "word": " the", "probability": 0.91796875}, {"start": 418.77, "end": 419.09, "word": " same.", "probability": 0.90771484375}, {"start": 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So we have here items, 1, 2, for example, up to 10. We have x1, x2, before, after. We compute the difference, which is x1 minus x2, for example. Now, for this data, I mean for the difference data, just apply", "tokens": [949, 11, 293, 15383, 2031, 17, 934, 13, 407, 321, 362, 510, 4754, 11, 502, 11, 568, 11, 337, 1365, 11, 493, 281, 1266, 13, 492, 362, 2031, 16, 11, 2031, 17, 11, 949, 11, 934, 13, 492, 14722, 264, 2649, 11, 597, 307, 2031, 16, 3175, 2031, 17, 11, 337, 1365, 13, 823, 11, 337, 341, 1412, 11, 286, 914, 337, 264, 2649, 1412, 11, 445, 3079], "avg_logprob": -0.24660325741422348, "compression_ratio": 1.5379746835443038, "no_speech_prob": 0.0, "words": [{"start": 447.09999999999997, "end": 447.78, "word": " before,", "probability": 0.2266845703125}, {"start": 447.78, "end": 448.46, "word": " and", "probability": 0.88671875}, {"start": 448.46, "end": 448.86, "word": " measurements", "probability": 0.454345703125}, {"start": 448.86, "end": 449.44, "word": " x2", "probability": 0.6649169921875}, {"start": 449.44, "end": 449.98, "word": " after.", "probability": 0.77099609375}, {"start": 452.4, "end": 452.66, "word": " So", "probability": 0.732421875}, {"start": 452.66, "end": 452.82, "word": " we", "probability": 0.6474609375}, {"start": 452.82, "end": 452.92, "word": " have", "probability": 0.93701171875}, {"start": 452.92, "end": 453.22, "word": " here", "probability": 0.8310546875}, {"start": 453.22, "end": 454.16, "word": " items,", "probability": 0.712890625}, {"start": 455.9, "end": 456.28, "word": " 1,", "probability": 0.495361328125}, {"start": 456.42, "end": 456.54, "word": " 2,", "probability": 0.75634765625}, {"start": 456.68, "end": 457.54, "word": " for", "probability": 0.609375}, {"start": 457.54, "end": 457.88, "word": " example,", "probability": 0.97412109375}, {"start": 457.96, "end": 458.08, "word": " up", "probability": 0.84765625}, {"start": 458.08, "end": 458.2, "word": " to", "probability": 0.96630859375}, {"start": 458.2, "end": 458.42, "word": " 10.", "probability": 0.92626953125}, {"start": 459.04, "end": 459.72, "word": " We", "probability": 0.9462890625}, {"start": 459.72, "end": 459.98, "word": " have", "probability": 0.9462890625}, {"start": 459.98, "end": 460.74, "word": " x1,", "probability": 0.98828125}, {"start": 461.24, "end": 461.96, "word": " x2,", "probability": 0.99755859375}, {"start": 462.14, "end": 462.48, "word": " before,", "probability": 0.86083984375}, {"start": 462.62, "end": 462.96, "word": " after.", "probability": 0.7705078125}, {"start": 463.66, "end": 463.92, "word": " We", "probability": 0.84228515625}, {"start": 463.92, "end": 464.24, "word": " compute", "probability": 0.88623046875}, {"start": 464.24, "end": 464.46, "word": " the", "probability": 0.91748046875}, {"start": 464.46, "end": 464.76, "word": " difference,", "probability": 0.86083984375}, {"start": 464.96, "end": 465.12, "word": " which", "probability": 0.9501953125}, {"start": 465.12, "end": 465.26, "word": " is", "probability": 0.94482421875}, {"start": 465.26, "end": 465.84, "word": " x1", "probability": 0.988525390625}, {"start": 465.84, "end": 466.16, "word": " minus", "probability": 0.97314453125}, {"start": 466.16, "end": 466.56, "word": " x2,", "probability": 0.998291015625}, {"start": 466.64, "end": 466.76, "word": " for", "probability": 0.94677734375}, {"start": 466.76, "end": 467.04, "word": " example.", "probability": 0.9755859375}, {"start": 468.4, "end": 468.86, "word": " Now,", "probability": 0.951171875}, {"start": 469.28, "end": 469.76, "word": " for", "probability": 0.95068359375}, {"start": 469.76, "end": 470.02, "word": " this", "probability": 0.91552734375}, {"start": 470.02, "end": 470.42, "word": " data,", "probability": 0.9345703125}, {"start": 471.26, "end": 471.44, "word": " I", "probability": 0.95703125}, {"start": 471.44, "end": 471.54, "word": " mean", "probability": 0.9638671875}, {"start": 471.54, "end": 471.72, "word": " for", "probability": 0.62890625}, {"start": 471.72, "end": 471.88, "word": " the", "probability": 0.91943359375}, {"start": 471.88, "end": 472.28, "word": " difference", "probability": 0.697265625}, {"start": 472.28, "end": 472.62, "word": " data,", "probability": 0.90283203125}, {"start": 473.36, "end": 474.2, "word": " just", "probability": 0.90234375}, {"start": 474.2, "end": 474.76, "word": " apply", "probability": 0.916015625}], "temperature": 1.0}, {"id": 18, "seek": 50539, "start": 477.29, "end": 505.39, "text": " one sample t-test. So simply apply one sample t-test for the difference. For example suppose here we have first item as we mentioned for example is 160 it becomes 150. So x1 minus x2 becomes 10. 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So it's 15. Suppose the third one is 151. It becomes 155. So it's negative 4 and so on. So for example, the last one is 175. It becomes 160. So it's 15. 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It means find the difference, the semantic mean of the difference, which is d bar. So it's just sum of d divided by n. 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It's one I minus two I. I means one, two, three, four, up to ten, for example. So compute the mean of the differences. Also compute the standard deviation of the difference of the same equation we had before. Sum D minus D bar squared divided by N minus one. 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The first step here, we compute the difference between before minus after or after minus before. In this case, there is only one difference in the sign of the average. Because if we have x1 minus x2 and the answer is plus, then if we switch from x2 to x1,", "tokens": [949, 293, 934, 13, 440, 700, 1823, 510, 11, 321, 14722, 264, 2649, 1296, 949, 3175, 934, 420, 934, 3175, 949, 13, 682, 341, 1389, 11, 456, 307, 787, 472, 2649, 294, 264, 1465, 295, 264, 4274, 13, 1436, 498, 321, 362, 2031, 16, 3175, 2031, 17, 293, 264, 1867, 307, 1804, 11, 550, 498, 321, 3679, 490, 2031, 17, 281, 2031, 16, 11], "avg_logprob": -0.17319711538461538, "compression_ratio": 1.5930232558139534, "no_speech_prob": 0.0, "words": [{"start": 610.33, "end": 610.71, "word": " before", "probability": 0.26611328125}, {"start": 610.71, "end": 610.95, "word": " and", "probability": 0.9375}, {"start": 610.95, "end": 611.29, "word": " after.", "probability": 0.84375}, {"start": 611.95, "end": 612.49, "word": " The", "probability": 0.865234375}, {"start": 612.49, "end": 612.73, "word": " first", "probability": 0.85693359375}, {"start": 612.73, "end": 612.99, "word": " step", "probability": 0.93994140625}, {"start": 612.99, "end": 613.17, "word": " here,", "probability": 0.84765625}, {"start": 613.29, "end": 613.41, "word": " we", "probability": 0.943359375}, {"start": 613.41, "end": 614.73, "word": " compute", "probability": 0.87109375}, {"start": 614.73, "end": 614.95, "word": " the", "probability": 0.9130859375}, {"start": 614.95, "end": 615.37, "word": " difference", "probability": 0.87353515625}, {"start": 615.37, "end": 615.81, "word": " between", "probability": 0.88134765625}, {"start": 615.81, "end": 617.15, "word": " before", "probability": 0.84765625}, {"start": 617.15, "end": 617.63, "word": " minus", "probability": 0.96826171875}, {"start": 617.63, "end": 618.13, "word": " after", "probability": 0.861328125}, {"start": 618.13, "end": 618.35, "word": " or", "probability": 0.53369140625}, {"start": 618.35, "end": 618.63, "word": " after", "probability": 0.86181640625}, {"start": 618.63, "end": 618.97, "word": " minus", "probability": 0.98486328125}, {"start": 618.97, "end": 619.43, "word": " before.", "probability": 0.875}, {"start": 620.01, "end": 620.35, "word": " In", "probability": 0.94970703125}, {"start": 620.35, "end": 620.57, "word": " this", "probability": 0.94775390625}, {"start": 620.57, "end": 620.97, "word": " case,", "probability": 0.91064453125}, {"start": 621.47, "end": 622.23, "word": " there", "probability": 0.85498046875}, {"start": 622.23, "end": 622.39, "word": " is", "probability": 0.91015625}, {"start": 622.39, "end": 622.59, "word": " only", "probability": 0.93115234375}, {"start": 622.59, "end": 622.79, "word": " one", "probability": 0.9306640625}, {"start": 622.79, "end": 623.33, "word": " difference", "probability": 0.869140625}, {"start": 623.33, "end": 623.63, "word": " in", "probability": 0.92724609375}, {"start": 623.63, "end": 623.97, "word": " the", "probability": 0.923828125}, {"start": 623.97, "end": 624.51, "word": " sign", "probability": 0.85888671875}, {"start": 624.51, "end": 624.91, "word": " of", "probability": 0.9638671875}, {"start": 624.91, "end": 626.65, "word": " the", "probability": 0.8388671875}, {"start": 626.65, "end": 627.05, "word": " average.", "probability": 0.75}, {"start": 627.17, "end": 627.61, "word": " Because", "probability": 0.9296875}, {"start": 627.61, "end": 629.01, "word": " if", "probability": 0.88232421875}, {"start": 629.01, "end": 629.21, "word": " we", "probability": 0.951171875}, {"start": 629.21, "end": 629.43, "word": " have", "probability": 0.9189453125}, {"start": 629.43, "end": 629.79, "word": " x1", "probability": 0.8662109375}, {"start": 629.79, "end": 630.11, "word": " minus", "probability": 0.97607421875}, {"start": 630.11, "end": 630.69, "word": " x2", "probability": 0.994140625}, {"start": 630.69, "end": 630.93, "word": " and", "probability": 0.57568359375}, {"start": 630.93, "end": 631.07, "word": " the", "probability": 0.90625}, {"start": 631.07, "end": 631.31, "word": " answer", "probability": 0.93212890625}, {"start": 631.31, "end": 631.49, "word": " is", "probability": 0.94921875}, {"start": 631.49, "end": 631.87, "word": " plus,", "probability": 0.428466796875}, {"start": 633.11, "end": 633.61, "word": " then", "probability": 0.82861328125}, {"start": 633.61, "end": 634.19, "word": " if", "probability": 0.9150390625}, {"start": 634.19, "end": 634.35, "word": " we", "probability": 0.9228515625}, {"start": 634.35, "end": 634.69, "word": " switch", "probability": 0.96630859375}, {"start": 634.69, "end": 635.15, "word": " from", "probability": 0.876953125}, {"start": 635.15, "end": 635.69, "word": " x2", "probability": 0.9921875}, {"start": 635.69, "end": 635.89, "word": " to", "probability": 0.96923828125}, {"start": 635.89, "end": 636.41, "word": " x1,", "probability": 0.999267578125}], "temperature": 1.0}, {"id": 24, "seek": 66361, "start": 637.05, "end": 663.61, "text": " D should be negative or opposite sign. But the standard deviation remains the same sign because always standard deviation is positive. Here we have squared for D minus D bar. So it doesn't matter if we have X1 minus X2 or X2 minus X1. So that's all for two related samples. So again, we have to compute the ith pair difference, Di.", "tokens": [413, 820, 312, 3671, 420, 6182, 1465, 13, 583, 264, 3832, 25163, 7023, 264, 912, 1465, 570, 1009, 3832, 25163, 307, 3353, 13, 1692, 321, 362, 8889, 337, 413, 3175, 413, 2159, 13, 407, 309, 1177, 380, 1871, 498, 321, 362, 1783, 16, 3175, 1783, 17, 420, 1783, 17, 3175, 1783, 16, 13, 407, 300, 311, 439, 337, 732, 4077, 10938, 13, 407, 797, 11, 321, 362, 281, 14722, 264, 309, 71, 6119, 2649, 11, 8789, 13], "avg_logprob": -0.1941105746305906, "compression_ratio": 1.603864734299517, "no_speech_prob": 0.0, "words": [{"start": 637.05, "end": 637.45, "word": " D", "probability": 0.50634765625}, {"start": 637.45, "end": 637.69, "word": " should", "probability": 0.96728515625}, {"start": 637.69, "end": 637.89, "word": " be", "probability": 0.94775390625}, {"start": 637.89, "end": 638.27, "word": " negative", "probability": 0.8984375}, {"start": 638.27, "end": 639.15, "word": " or", "probability": 0.53271484375}, {"start": 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Suppose, for example, patient number 10, we have a score of 175, then this one is missing. In this case, the total observation should be ignored. I mean, if one is missing, you should ignore the total observation.", "tokens": [286, 914, 11, 498, 321, 722, 365, 1266, 4209, 11, 321, 820, 917, 365, 264, 912, 1230, 11, 570, 510, 321, 362, 10477, 8000, 13, 21360, 11, 337, 1365, 11, 4537, 1230, 1266, 11, 321, 362, 257, 6175, 295, 41165, 11, 550, 341, 472, 307, 5361, 13, 682, 341, 1389, 11, 264, 3217, 14816, 820, 312, 19735, 13, 286, 914, 11, 498, 472, 307, 5361, 11, 291, 820, 11200, 264, 3217, 14816, 13], "avg_logprob": -0.12890624335488757, "compression_ratio": 1.6994818652849741, "no_speech_prob": 0.0, "words": [{"start": 694.84, "end": 695.08, "word": " I", "probability": 0.88037109375}, {"start": 695.08, "end": 695.28, "word": " mean,", "probability": 0.96240234375}, {"start": 695.38, "end": 695.54, "word": " if", "probability": 0.94970703125}, {"start": 695.54, "end": 695.66, "word": " we", "probability": 0.87353515625}, {"start": 695.66, "end": 696.04, "word": " start", "probability": 0.927734375}, {"start": 696.04, "end": 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So in this case, if this is missing, so the sample size becomes 9 instead of 10. Even if you have a score for before, but you should have before and after scores. Again, the T statistic.", "tokens": [440, 1379, 1589, 820, 312, 19735, 13, 407, 294, 341, 1389, 11, 498, 341, 307, 5361, 11, 370, 264, 6889, 2744, 3643, 1722, 2602, 295, 1266, 13, 2754, 498, 291, 362, 257, 6175, 337, 949, 11, 457, 291, 820, 362, 949, 293, 934, 13444, 13, 3764, 11, 264, 314, 29588, 13], "avg_logprob": -0.18164063015809426, "compression_ratio": 1.425, "no_speech_prob": 0.0, "words": [{"start": 723.62, "end": 723.82, "word": " The", "probability": 0.337890625}, {"start": 723.82, "end": 724.06, "word": " whole", "probability": 0.88623046875}, {"start": 724.06, "end": 724.48, "word": " information", "probability": 0.74365234375}, {"start": 724.48, "end": 724.78, "word": " should", "probability": 0.95654296875}, {"start": 724.78, "end": 724.96, "word": " be", "probability": 0.95849609375}, {"start": 724.96, "end": 725.36, "word": " ignored.", "probability": 0.8984375}, {"start": 726.92, "end": 727.18, "word": " So", "probability": 0.92529296875}, {"start": 727.18, "end": 727.3, "word": " in", "probability": 0.79443359375}, {"start": 727.3, "end": 727.48, "word": " this", "probability": 0.94921875}, {"start": 727.48, "end": 727.72, "word": " case,", "probability": 0.92626953125}, {"start": 727.8, "end": 727.88, "word": " if", "probability": 0.9453125}, {"start": 727.88, "end": 728.1, "word": " this", "probability": 0.94140625}, {"start": 728.1, "end": 728.26, "word": " is", "probability": 0.947265625}, {"start": 728.26, "end": 728.64, "word": " missing,", "probability": 0.91162109375}, {"start": 728.94, "end": 729.1, "word": " so", "probability": 0.7978515625}, {"start": 729.1, "end": 729.34, "word": " the", "probability": 0.78369140625}, {"start": 729.34, "end": 729.56, "word": " sample", "probability": 0.8935546875}, {"start": 729.56, "end": 729.86, "word": " size", "probability": 0.86474609375}, {"start": 729.86, "end": 730.24, "word": " becomes", "probability": 0.88232421875}, {"start": 730.24, "end": 730.64, "word": " 9", "probability": 0.319091796875}, {"start": 730.64, "end": 731.22, "word": " instead", "probability": 0.8173828125}, {"start": 731.22, "end": 731.38, "word": " of", "probability": 0.96826171875}, {"start": 731.38, "end": 731.64, "word": " 10.", "probability": 0.96337890625}, {"start": 732.02, "end": 732.48, "word": " Even", "probability": 0.8642578125}, {"start": 732.48, "end": 733.0, "word": " if", "probability": 0.9453125}, {"start": 733.0, "end": 733.14, "word": " you", "probability": 0.9609375}, {"start": 733.14, "end": 733.42, "word": " have", "probability": 0.9150390625}, {"start": 733.42, "end": 734.68, "word": " a", "probability": 0.68212890625}, {"start": 734.68, "end": 735.1, "word": " score", "probability": 0.90380859375}, {"start": 735.1, "end": 735.56, "word": " for", "probability": 0.8681640625}, {"start": 735.56, "end": 736.0, "word": " before,", "probability": 0.86767578125}, {"start": 737.08, "end": 737.36, "word": " but", "probability": 0.90673828125}, {"start": 737.36, "end": 737.48, "word": " you", "probability": 0.95068359375}, {"start": 737.48, "end": 737.66, "word": " should", "probability": 0.95947265625}, {"start": 737.66, "end": 737.88, "word": " have", "probability": 0.94677734375}, {"start": 737.88, "end": 738.16, "word": " before", "probability": 0.7919921875}, {"start": 738.16, "end": 738.4, "word": " and", "probability": 0.9228515625}, {"start": 738.4, "end": 738.92, "word": " after", "probability": 0.84814453125}, {"start": 738.92, "end": 740.12, "word": " scores.", "probability": 0.8232421875}, {"start": 742.34, "end": 742.9, "word": " Again,", "probability": 0.93994140625}, {"start": 743.0, "end": 743.12, "word": " the", "probability": 0.88525390625}, {"start": 743.12, "end": 743.26, "word": " T", "probability": 0.62353515625}, {"start": 743.26, "end": 743.78, "word": " statistic.", "probability": 0.85009765625}], "temperature": 1.0}, {"id": 28, "seek": 77193, "start": 745.35, "end": 771.93, "text": " D bar minus the mean of D divided by S of the difference divided by square root of N. And this statistic actually has N minus 1 degrees of freedom. So simply find the differences, then apply one sample T test for this difference in order to test about related samples. 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In this case, the null and alternative hypothesis could be one of these. Either two-tailed test. In this case, we are testing. Mu D equals 0 against mu D does not equal 0. 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Now suppose the question is does drug B improve blood pressure? 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So in this case, we should have this one, mu D greater than 0. That if your difference is x1 minus x2. Make sense? Because if D is x1 minus x2, and under the alternative hypothesis, you have mu D greater than 0. 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That means drug B is more effective than using drug A. Otherwise, if you use X2 minus X1, it's vice versa. It should be mu X2 smaller than mu X1. 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You have to be careful when you state the null and alternative hypothesis. That's for state the appropriate null and alternative hypothesis. And actually, it depends on the problem itself. Now, for the rejection regions, it's the same as we discussed before. 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For upper tail T test, if the alternative is mu D is greater than zero, then we reject zero if T statistic is greater than T alpha. 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The previous, the old one was X bar plus the point estimate, which was X bar plus or minus T over 2 S over root N. 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And we know that the standard deviation is given by this equation. So I think nothing is new in this case except that we should compute the difference between measurements before and after. That's all. Let's look at this simple example.", "tokens": [2602, 295, 1783, 2159, 1804, 420, 3175, 314, 8961, 670, 732, 1413, 3832, 25163, 295, 264, 2649, 6666, 538, 3732, 5593, 295, 426, 13, 400, 321, 458, 300, 264, 3832, 25163, 307, 2212, 538, 341, 5367, 13, 407, 286, 519, 1825, 307, 777, 294, 341, 1389, 3993, 300, 321, 820, 14722, 264, 2649, 1296, 15383, 949, 293, 934, 13, 663, 311, 439, 13, 961, 311, 574, 412, 341, 2199, 1365, 13], "avg_logprob": -0.16341145729853046, "compression_ratio": 1.6153846153846154, "no_speech_prob": 0.0, "words": [{"start": 1065.13, "end": 1065.63, "word": " instead", "probability": 0.54638671875}, {"start": 1065.63, "end": 1065.79, "word": " of", "probability": 0.9697265625}, {"start": 1065.79, "end": 1066.03, "word": " X", "probability": 0.322021484375}, {"start": 1066.03, "end": 1066.27, "word": " bar", "probability": 0.7763671875}, {"start": 1066.27, "end": 1066.67, "word": " plus", "probability": 0.5927734375}, {"start": 1066.67, "end": 1066.97, "word": " or", 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service training workshop. And the question is, has the training made a difference in the number of complaints? And here we have small sample size of five. And we have number of complaints before attending the customer service training workshop.", "tokens": [6281, 2540, 291, 2845, 428, 5763, 21123, 281, 257, 5474, 2643, 3097, 13541, 13, 400, 264, 1168, 307, 11, 575, 264, 3097, 1027, 257, 2649, 294, 264, 1230, 295, 1209, 19594, 30, 400, 510, 321, 362, 1359, 6889, 2744, 295, 1732, 13, 400, 321, 362, 1230, 295, 19585, 949, 15862, 264, 5474, 2643, 3097, 13541, 13], "avg_logprob": -0.18654057226682963, "compression_ratio": 1.7544910179640718, "no_speech_prob": 0.0, "words": [{"start": 1096.0999999999997, "end": 1096.9799999999998, "word": " Assume", "probability": 0.8544921875}, {"start": 1096.9799999999998, "end": 1097.86, "word": " you", "probability": 0.92919921875}, {"start": 1097.86, "end": 1098.32, "word": " send", "probability": 0.671875}, {"start": 1098.32, "end": 1098.94, "word": " your", "probability": 0.8779296875}, {"start": 1098.94, "end": 1100.08, "word": " salespeople", "probability": 0.7318115234375}, {"start": 1100.08, "end": 1101.14, "word": " to", "probability": 0.9228515625}, {"start": 1101.14, "end": 1101.36, "word": " a", "probability": 0.94580078125}, {"start": 1101.36, "end": 1101.76, "word": " customer", "probability": 0.73583984375}, {"start": 1101.76, "end": 1102.2, "word": " service", "probability": 0.86669921875}, {"start": 1102.2, "end": 1102.54, "word": " training", "probability": 0.6767578125}, {"start": 1102.54, "end": 1102.9, "word": " workshop.", "probability": 0.85498046875}, {"start": 1104.08, "end": 1104.96, "word": " And", "probability": 0.91455078125}, {"start": 1104.96, "end": 1105.08, "word": " the", "probability": 0.91455078125}, {"start": 1105.08, "end": 1105.38, "word": " question", "probability": 0.91552734375}, {"start": 1105.38, "end": 1105.74, "word": " is,", "probability": 0.94970703125}, {"start": 1106.16, "end": 1106.58, "word": " has", "probability": 0.8603515625}, {"start": 1106.58, "end": 1106.8, "word": " the", "probability": 0.91748046875}, {"start": 1106.8, "end": 1107.18, "word": " training", "probability": 0.875}, {"start": 1107.18, "end": 1107.68, "word": " made", "probability": 0.79345703125}, {"start": 1107.68, "end": 1108.1, "word": " a", "probability": 0.9951171875}, {"start": 1108.1, "end": 1108.54, "word": " difference", "probability": 0.85888671875}, {"start": 1108.54, "end": 1108.72, "word": " in", "probability": 0.94287109375}, {"start": 1108.72, "end": 1108.84, "word": " the", "probability": 0.91650390625}, {"start": 1108.84, "end": 1109.06, "word": " number", "probability": 0.9404296875}, {"start": 1109.06, "end": 1109.24, "word": " of", "probability": 0.9755859375}, {"start": 1109.24, "end": 1109.72, "word": " complaints?", "probability": 0.4578857421875}, {"start": 1112.3, "end": 1113.18, "word": " And", "probability": 0.94384765625}, {"start": 1113.18, "end": 1113.44, "word": " here", "probability": 0.8515625}, {"start": 1113.44, "end": 1113.74, "word": " we", "probability": 0.6787109375}, {"start": 1113.74, "end": 1114.28, "word": " have", "probability": 0.95068359375}, {"start": 1114.28, "end": 1114.8, "word": " small", "probability": 0.564453125}, {"start": 1114.8, "end": 1115.12, "word": " sample", "probability": 0.9140625}, {"start": 1115.12, "end": 1115.7, "word": " size", "probability": 0.86083984375}, {"start": 1115.7, "end": 1116.76, "word": " of", "probability": 0.89453125}, {"start": 1116.76, "end": 1117.18, "word": " five.", "probability": 0.759765625}, {"start": 1117.88, "end": 1118.36, "word": " And", "probability": 0.9521484375}, {"start": 1118.36, "end": 1118.52, "word": " we", "probability": 0.95849609375}, {"start": 1118.52, "end": 1118.68, "word": " have", "probability": 0.927734375}, {"start": 1118.68, "end": 1118.98, "word": " number", "probability": 0.861328125}, {"start": 1118.98, "end": 1119.16, "word": " of", "probability": 0.97265625}, {"start": 1119.16, "end": 1119.6, "word": " complaints", "probability": 0.80322265625}, {"start": 1119.6, "end": 1120.28, "word": " before", "probability": 0.8203125}, {"start": 1120.28, "end": 1121.76, "word": " attending", "probability": 0.85986328125}, {"start": 1121.76, "end": 1122.98, "word": " the", "probability": 0.87451171875}, {"start": 1122.98, "end": 1123.54, "word": " customer", "probability": 0.7548828125}, {"start": 1123.54, "end": 1124.26, "word": " service", "probability": 0.8955078125}, {"start": 1124.26, "end": 1124.68, "word": " training", "probability": 0.93798828125}, {"start": 1124.68, "end": 1125.18, "word": " workshop.", "probability": 0.86669921875}], "temperature": 1.0}, {"id": 41, "seek": 115165, "start": 1125.81, "end": 1151.65, "text": " and after the training course. And again, the question is, has the training made a difference in the number of complaints? For example, salesperson number one has six complaints before attending the training workshop. And after that, he has four.", "tokens": [293, 934, 264, 3097, 1164, 13, 400, 797, 11, 264, 1168, 307, 11, 575, 264, 3097, 1027, 257, 2649, 294, 264, 1230, 295, 1209, 19594, 30, 1171, 1365, 11, 5763, 10813, 1230, 472, 575, 2309, 19585, 949, 15862, 264, 3097, 13541, 13, 400, 934, 300, 11, 415, 575, 1451, 13], "avg_logprob": -0.1675857778857736, "compression_ratio": 1.657718120805369, "no_speech_prob": 0.0, "words": [{"start": 1125.81, "end": 1126.19, "word": " and", "probability": 0.376708984375}, {"start": 1126.19, "end": 1126.73, "word": " after", "probability": 0.79052734375}, {"start": 1126.73, "end": 1126.95, "word": " the", "probability": 0.87451171875}, {"start": 1126.95, "end": 1127.19, "word": " training", "probability": 0.90283203125}, {"start": 1127.19, "end": 1127.65, "word": " course.", "probability": 0.8525390625}, {"start": 1128.19, "end": 1128.37, "word": " And", "probability": 0.9267578125}, {"start": 1128.37, "end": 1128.59, "word": " again,", "probability": 0.8525390625}, {"start": 1128.65, "end": 1128.73, "word": " the", "probability": 0.923828125}, {"start": 1128.73, "end": 1129.01, "word": " question", "probability": 0.9189453125}, {"start": 1129.01, "end": 1129.41, "word": " is,", "probability": 0.94775390625}, {"start": 1130.17, "end": 1130.39, "word": " has", "probability": 0.896484375}, {"start": 1130.39, "end": 1130.55, "word": " the", "probability": 0.68701171875}, {"start": 1130.55, "end": 1130.93, "word": " training", "probability": 0.90185546875}, {"start": 1130.93, "end": 1131.25, "word": " made", "probability": 0.88232421875}, {"start": 1131.25, "end": 1131.39, "word": " a", "probability": 0.9892578125}, {"start": 1131.39, "end": 1131.95, "word": " difference", "probability": 0.8525390625}, {"start": 1131.95, "end": 1133.33, "word": " in", "probability": 0.93603515625}, {"start": 1133.33, "end": 1133.47, "word": " the", "probability": 0.92041015625}, {"start": 1133.47, "end": 1133.75, "word": " number", "probability": 0.93994140625}, {"start": 1133.75, "end": 1133.95, "word": " of", "probability": 0.974609375}, {"start": 1133.95, "end": 1134.39, "word": " complaints?", "probability": 0.626953125}, {"start": 1135.59, "end": 1136.35, "word": " For", "probability": 0.966796875}, {"start": 1136.35, "end": 1136.71, "word": " example,", "probability": 0.97509765625}, {"start": 1137.09, "end": 1137.79, "word": " salesperson", "probability": 0.897216796875}, {"start": 1137.79, "end": 1138.05, "word": " number", "probability": 0.93408203125}, {"start": 1138.05, "end": 1138.43, "word": " one", "probability": 0.8115234375}, {"start": 1138.43, "end": 1140.51, "word": " has", "probability": 0.89794921875}, {"start": 1140.51, "end": 1142.63, "word": " six", "probability": 0.88330078125}, {"start": 1142.63, "end": 1143.31, "word": " complaints", "probability": 0.88134765625}, {"start": 1143.31, "end": 1143.91, "word": " before", "probability": 0.84521484375}, {"start": 1143.91, "end": 1145.01, "word": " attending", "probability": 0.892578125}, {"start": 1145.01, "end": 1145.47, "word": " the", "probability": 0.91796875}, {"start": 1145.47, "end": 1146.07, "word": " training", "probability": 0.916015625}, {"start": 1146.07, "end": 1147.47, "word": " workshop.", "probability": 0.8720703125}, {"start": 1148.47, "end": 1149.23, "word": " And", "probability": 0.9521484375}, {"start": 1149.23, "end": 1149.57, "word": " after", "probability": 0.82763671875}, {"start": 1149.57, "end": 1149.95, "word": " that,", "probability": 0.931640625}, {"start": 1150.33, "end": 1151.07, "word": " he", "probability": 0.96435546875}, {"start": 1151.07, "end": 1151.31, "word": " has", "probability": 0.95068359375}, {"start": 1151.31, "end": 1151.65, "word": " four.", "probability": 0.8994140625}], "temperature": 1.0}, {"id": 42, "seek": 117722, "start": 1155.76, "end": 1177.22, "text": " 20 complaints before it becomes 6, 3 becomes 2, 0, 0, no complaints, 4 becomes 0. Now the question is, has the training made a difference? In this case, you don't know the direction. If this training workshop has positive effect, it means it reduces the number of complaints.", "tokens": [945, 19585, 949, 309, 3643, 1386, 11, 805, 3643, 568, 11, 1958, 11, 1958, 11, 572, 19585, 11, 1017, 3643, 1958, 13, 823, 264, 1168, 307, 11, 575, 264, 3097, 1027, 257, 2649, 30, 682, 341, 1389, 11, 291, 500, 380, 458, 264, 3513, 13, 759, 341, 3097, 13541, 575, 3353, 1802, 11, 309, 1355, 309, 18081, 264, 1230, 295, 19585, 13], "avg_logprob": -0.19332836828534566, "compression_ratio": 1.5593220338983051, "no_speech_prob": 2.384185791015625e-07, "words": [{"start": 1155.7600000000002, "end": 1156.3600000000001, "word": " 20", "probability": 0.327880859375}, {"start": 1156.3600000000001, "end": 1156.96, "word": " complaints", "probability": 0.7802734375}, {"start": 1156.96, "end": 1157.5, "word": " before", "probability": 0.7490234375}, {"start": 1157.5, "end": 1157.72, "word": " it", "probability": 0.92529296875}, {"start": 1157.72, "end": 1158.08, "word": " becomes", "probability": 0.86181640625}, {"start": 1158.08, "end": 1158.56, "word": " 6,", "probability": 0.58251953125}, {"start": 1158.78, "end": 1159.08, "word": " 3", "probability": 0.88720703125}, {"start": 1159.08, "end": 1159.48, "word": " becomes", "probability": 0.8623046875}, {"start": 1159.48, "end": 1159.74, "word": " 2,", "probability": 0.7802734375}, {"start": 1159.8, "end": 1160.0, "word": " 0,", "probability": 0.93798828125}, {"start": 1160.1, "end": 1160.36, "word": " 0,", "probability": 0.98046875}, {"start": 1160.78, "end": 1160.92, "word": " no", "probability": 0.8984375}, {"start": 1160.92, "end": 1161.4, "word": " complaints,", "probability": 0.89306640625}, {"start": 1161.6, "end": 1162.32, "word": " 4", "probability": 0.490478515625}, {"start": 1162.32, "end": 1162.74, "word": " becomes", "probability": 0.85791015625}, {"start": 1162.74, "end": 1163.0, "word": " 0.", "probability": 0.83740234375}, {"start": 1163.58, "end": 1163.78, "word": " Now", "probability": 0.9375}, {"start": 1163.78, "end": 1163.94, "word": " the", "probability": 0.81201171875}, {"start": 1163.94, "end": 1164.26, "word": " question", "probability": 0.91162109375}, {"start": 1164.26, "end": 1164.62, "word": " is,", "probability": 0.94677734375}, {"start": 1164.78, "end": 1165.02, "word": " has", "probability": 0.8447265625}, {"start": 1165.02, "end": 1165.22, "word": " the", "probability": 0.89892578125}, {"start": 1165.22, "end": 1165.52, "word": " training", "probability": 0.9013671875}, {"start": 1165.52, "end": 1165.88, "word": " made", "probability": 0.87353515625}, {"start": 1165.88, "end": 1166.04, "word": " a", "probability": 0.63525390625}, {"start": 1166.04, "end": 1166.54, "word": " difference?", "probability": 0.85107421875}, {"start": 1167.36, "end": 1167.62, "word": " In", "probability": 0.951171875}, {"start": 1167.62, "end": 1167.8, "word": " this", "probability": 0.9462890625}, {"start": 1167.8, "end": 1168.0, "word": " case,", "probability": 0.9169921875}, {"start": 1168.04, "end": 1168.12, "word": " you", "probability": 0.884765625}, {"start": 1168.12, "end": 1168.34, "word": " don't", "probability": 0.92919921875}, {"start": 1168.34, "end": 1168.6, "word": " know", "probability": 0.8857421875}, {"start": 1168.6, "end": 1168.9, "word": " the", "probability": 0.9091796875}, {"start": 1168.9, "end": 1169.5, "word": " direction.", "probability": 0.9765625}, {"start": 1169.86, "end": 1170.02, "word": " If", "probability": 0.958984375}, {"start": 1170.02, "end": 1171.04, "word": " this", "probability": 0.9462890625}, {"start": 1171.04, "end": 1171.5, "word": " training", "probability": 0.92919921875}, {"start": 1171.5, "end": 1172.08, "word": " workshop", "probability": 0.78564453125}, {"start": 1172.08, "end": 1173.28, "word": " has", "probability": 0.92578125}, {"start": 1173.28, "end": 1173.7, "word": " positive", "probability": 0.68994140625}, {"start": 1173.7, "end": 1174.22, "word": " effect,", "probability": 0.8427734375}, {"start": 1174.46, "end": 1174.84, "word": " it", "probability": 0.94287109375}, {"start": 1174.84, "end": 1175.18, "word": " means", "probability": 0.93505859375}, {"start": 1175.18, "end": 1175.44, "word": " it", "probability": 0.89453125}, {"start": 1175.44, "end": 1176.0, "word": " reduces", "probability": 0.953125}, {"start": 1176.0, "end": 1176.26, "word": " the", "probability": 0.91748046875}, {"start": 1176.26, "end": 1176.52, "word": " number", "probability": 0.9423828125}, {"start": 1176.52, "end": 1176.74, "word": " of", "probability": 0.97314453125}, {"start": 1176.74, "end": 1177.22, "word": " complaints.", "probability": 0.8671875}], "temperature": 1.0}, {"id": 43, "seek": 120208, "start": 1178.89, "end": 1202.09, "text": " So we should have two-tailed test. Since there is no direction, positive or negative, improved or does not improve, we should have two-tailed test. So that's step number one. You have to scale the appropriate null and alternate hypothesis in order to determine the critical regions for this test.", "tokens": [407, 321, 820, 362, 732, 12, 14430, 292, 1500, 13, 4162, 456, 307, 572, 3513, 11, 3353, 420, 3671, 11, 9689, 420, 775, 406, 3470, 11, 321, 820, 362, 732, 12, 14430, 292, 1500, 13, 407, 300, 311, 1823, 1230, 472, 13, 509, 362, 281, 4373, 264, 6854, 18184, 293, 18873, 17291, 294, 1668, 281, 6997, 264, 4924, 10682, 337, 341, 1500, 13], "avg_logprob": -0.18969726073555648, "compression_ratio": 1.6592178770949721, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1178.89, "end": 1179.35, "word": " So", "probability": 0.86474609375}, {"start": 1179.35, "end": 1179.69, "word": " we", "probability": 0.68994140625}, {"start": 1179.69, "end": 1180.29, "word": " should", "probability": 0.66943359375}, {"start": 1180.29, "end": 1180.71, "word": " have", "probability": 0.9443359375}, {"start": 1180.71, "end": 1180.99, "word": " two", "probability": 0.84814453125}, {"start": 1180.99, "end": 1181.33, "word": "-tailed", "probability": 0.7392578125}, {"start": 1181.33, "end": 1181.59, "word": " test.", "probability": 0.6259765625}, {"start": 1182.05, "end": 1182.65, "word": " Since", "probability": 0.8525390625}, {"start": 1182.65, "end": 1182.91, "word": " there", "probability": 0.8994140625}, {"start": 1182.91, "end": 1183.05, "word": " is", "probability": 0.912109375}, {"start": 1183.05, "end": 1183.19, "word": " no", "probability": 0.93701171875}, {"start": 1183.19, "end": 1183.65, "word": " direction,", "probability": 0.95849609375}, {"start": 1184.15, "end": 1184.47, "word": " positive", "probability": 0.927734375}, {"start": 1184.47, "end": 1184.73, "word": " or", "probability": 0.96240234375}, {"start": 1184.73, "end": 1185.09, "word": " negative,", "probability": 0.947265625}, {"start": 1185.31, "end": 1185.55, "word": " improved", "probability": 0.255859375}, {"start": 1185.55, "end": 1185.75, "word": " or", "probability": 0.9189453125}, {"start": 1185.75, "end": 1185.97, "word": " does", "probability": 0.826171875}, {"start": 1185.97, "end": 1186.25, "word": " not", "probability": 0.9521484375}, {"start": 1186.25, "end": 1186.83, "word": " improve,", "probability": 0.84619140625}, {"start": 1187.17, "end": 1187.43, "word": " we", "probability": 0.95263671875}, {"start": 1187.43, "end": 1187.67, "word": " should", "probability": 0.96826171875}, {"start": 1187.67, "end": 1188.11, "word": " have", "probability": 0.94482421875}, {"start": 1188.11, "end": 1188.71, "word": " two", "probability": 0.90869140625}, {"start": 1188.71, "end": 1189.27, "word": "-tailed", "probability": 0.8966471354166666}, {"start": 1189.27, "end": 1189.57, "word": " test.", "probability": 0.87158203125}, {"start": 1189.93, "end": 1190.05, "word": " So", "probability": 0.9140625}, {"start": 1190.05, "end": 1190.43, "word": " that's", "probability": 0.909423828125}, {"start": 1190.43, "end": 1190.69, "word": " step", "probability": 0.85595703125}, {"start": 1190.69, "end": 1190.93, "word": " number", "probability": 0.92529296875}, {"start": 1190.93, "end": 1191.17, "word": " one.", "probability": 0.8525390625}, {"start": 1191.25, "end": 1191.31, "word": " You", "probability": 0.93310546875}, {"start": 1191.31, "end": 1191.49, "word": " have", "probability": 0.93359375}, {"start": 1191.49, "end": 1191.65, "word": " to", "probability": 0.955078125}, {"start": 1191.65, "end": 1191.97, "word": " scale", "probability": 0.5458984375}, {"start": 1191.97, "end": 1193.33, "word": " the", "probability": 0.873046875}, {"start": 1193.33, "end": 1194.05, "word": " appropriate", "probability": 0.822265625}, {"start": 1194.05, "end": 1195.13, "word": " null", "probability": 0.90673828125}, {"start": 1195.13, "end": 1195.35, "word": " and", "probability": 0.40234375}, {"start": 1195.35, "end": 1195.73, "word": " alternate", "probability": 0.4072265625}, {"start": 1195.73, "end": 1196.31, "word": " hypothesis", "probability": 0.55810546875}, {"start": 1196.31, "end": 1197.47, "word": " in", "probability": 0.88623046875}, {"start": 1197.47, "end": 1197.71, "word": " order", "probability": 0.91796875}, {"start": 1197.71, "end": 1197.99, "word": " to", "probability": 0.9658203125}, {"start": 1197.99, "end": 1198.49, "word": " determine", "probability": 0.9169921875}, {"start": 1198.49, "end": 1199.07, "word": " the", "probability": 0.9150390625}, {"start": 1199.07, "end": 1199.59, "word": " critical", "probability": 0.9560546875}, {"start": 1199.59, "end": 1200.15, "word": " regions", "probability": 0.9541015625}, {"start": 1200.15, "end": 1201.49, "word": " for", "probability": 0.93408203125}, {"start": 1201.49, "end": 1201.73, "word": " this", "probability": 0.93701171875}, {"start": 1201.73, "end": 1202.09, "word": " test.", "probability": 0.88916015625}], "temperature": 1.0}, {"id": 44, "seek": 123056, "start": 1203.54, "end": 1230.56, "text": " So this example is a two-tailed test. Because it asks if there is a difference. And they don't know if this difference is positive or negative. Now, simple calculations will give the average of D and the standard deviation of D. So first step, you have to compute the difference, Di. 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Look at the data we have, you will figure out that the critical value is 4.604. So we reject the null hypothesis if the value of the test statistic falls in the rejection regions here.", "tokens": [400, 321, 362, 1025, 3175, 502, 307, 1017, 13, 2053, 412, 264, 1412, 321, 362, 11, 291, 486, 2573, 484, 300, 264, 4924, 2158, 307, 1017, 13, 4550, 19, 13, 407, 321, 8248, 264, 18184, 17291, 498, 264, 2158, 295, 264, 1500, 29588, 8804, 294, 264, 26044, 10682, 510, 13], "avg_logprob": -0.20603553629388996, "compression_ratio": 1.4791666666666667, "no_speech_prob": 0.0, "words": [{"start": 1406.45, "end": 1406.77, "word": " And", "probability": 0.6845703125}, {"start": 1406.77, "end": 1406.93, "word": " we", "probability": 0.9189453125}, {"start": 1406.93, "end": 1407.13, "word": " have", "probability": 0.9375}, {"start": 1407.13, "end": 1407.57, "word": " 5", "probability": 0.5546875}, {"start": 1407.57, "end": 1408.65, "word": " minus", "probability": 0.93310546875}, {"start": 1408.65, "end": 1408.85, "word": " 1", "probability": 0.38671875}, {"start": 1408.85, "end": 1409.01, "word": " is", "probability": 0.9208984375}, {"start": 1409.01, "end": 1409.25, "word": " 4.", "probability": 0.9794921875}, {"start": 1410.79, "end": 1411.37, "word": " Look", "probability": 0.83984375}, {"start": 1411.37, "end": 1411.79, "word": " at", "probability": 0.95947265625}, {"start": 1411.79, "end": 1411.99, "word": " the", "probability": 0.87939453125}, {"start": 1411.99, "end": 1412.21, "word": " data", "probability": 0.84765625}, {"start": 1412.21, "end": 1412.37, "word": " we", "probability": 0.405029296875}, {"start": 1412.37, "end": 1412.75, "word": " have,", "probability": 0.888671875}, {"start": 1412.85, "end": 1412.95, "word": " you", "probability": 0.360107421875}, {"start": 1412.95, "end": 1413.09, "word": " will", "probability": 0.60205078125}, {"start": 1413.09, "end": 1413.27, "word": " figure", "probability": 0.970703125}, {"start": 1413.27, "end": 1413.55, "word": " out", "probability": 0.87890625}, {"start": 1413.55, "end": 1413.95, "word": " that", "probability": 0.931640625}, {"start": 1413.95, "end": 1416.03, "word": " the", "probability": 0.79052734375}, {"start": 1416.03, "end": 1416.49, "word": " critical", "probability": 0.92138671875}, {"start": 1416.49, "end": 1416.91, "word": " value", "probability": 0.9140625}, {"start": 1416.91, "end": 1417.17, "word": " is", "probability": 0.93603515625}, {"start": 1417.17, "end": 1417.41, "word": " 4", "probability": 0.99462890625}, {"start": 1417.41, "end": 1420.77, "word": ".604.", "probability": 0.9597981770833334}, {"start": 1421.29, "end": 1421.51, "word": " So", "probability": 0.955078125}, {"start": 1421.51, "end": 1421.67, "word": " we", "probability": 0.85888671875}, {"start": 1421.67, "end": 1421.99, "word": " reject", "probability": 0.8994140625}, {"start": 1421.99, "end": 1422.13, "word": " the", "probability": 0.84326171875}, {"start": 1422.13, "end": 1422.25, "word": " null", "probability": 0.9765625}, {"start": 1422.25, "end": 1422.75, "word": " hypothesis", "probability": 0.80859375}, {"start": 1422.75, "end": 1424.03, "word": " if", "probability": 0.8056640625}, {"start": 1424.03, "end": 1424.19, "word": " the", "probability": 0.91748046875}, {"start": 1424.19, "end": 1424.53, "word": " value", "probability": 0.97998046875}, {"start": 1424.53, "end": 1424.71, "word": " of", "probability": 0.7890625}, {"start": 1424.71, "end": 1424.79, "word": " the", "probability": 0.66455078125}, {"start": 1424.79, "end": 1425.01, "word": " test", "probability": 0.73828125}, {"start": 1425.01, "end": 1425.51, "word": " statistic", "probability": 0.91845703125}, {"start": 1425.51, "end": 1426.21, "word": " falls", "probability": 0.84814453125}, {"start": 1426.21, "end": 1426.55, "word": " in", "probability": 0.92236328125}, {"start": 1426.55, "end": 1426.69, "word": " the", "probability": 0.919921875}, {"start": 1426.69, "end": 1426.99, "word": " rejection", "probability": 0.96826171875}, {"start": 1426.99, "end": 1427.51, "word": " regions", "probability": 0.97265625}, {"start": 1427.51, "end": 1427.89, "word": " here.", "probability": 0.84375}], "temperature": 1.0}, {"id": 52, "seek": 145808, "start": 1430.78, "end": 1458.08, "text": " or smaller than negative 4.6. So we should calculate the test statistic. T-stat is just the same equation, the same formula we had before. D bar minus the mean of D divided by S over root N. 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But here, we are talking about difference of zero, so it should be zero. Divide by S, which is five. Divide by root N, and N is five.", "tokens": [407, 881, 295, 264, 565, 309, 311, 4018, 11, 457, 2171, 1310, 11, 337, 1365, 11, 1451, 420, 2309, 11, 291, 820, 3679, 341, 2158, 510, 281, 3461, 2309, 2602, 295, 4018, 13, 583, 510, 11, 321, 366, 1417, 466, 2649, 295, 4018, 11, 370, 309, 820, 312, 4018, 13, 9886, 482, 538, 318, 11, 597, 307, 1732, 13, 9886, 482, 538, 5593, 426, 11, 293, 426, 307, 1732, 13], "avg_logprob": -0.2185299362934811, "compression_ratio": 1.5248618784530388, "no_speech_prob": 0.0, "words": [{"start": 1459.77, "end": 1460.07, "word": " So", "probability": 0.78076171875}, {"start": 1460.07, "end": 1460.35, "word": " most", "probability": 0.77783203125}, {"start": 1460.35, "end": 1460.47, "word": " of", "probability": 0.96630859375}, {"start": 1460.47, "end": 1460.55, "word": " the", "probability": 0.90087890625}, {"start": 1460.55, "end": 1460.73, "word": " time", "probability": 0.8388671875}, {"start": 1460.73, "end": 1460.87, "word": " it's", "probability": 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{"start": 1478.01, "end": 1478.43, "word": " by", "probability": 0.9658203125}, {"start": 1478.43, "end": 1480.85, "word": " S,", "probability": 0.58984375}, {"start": 1480.93, "end": 1481.15, "word": " which", "probability": 0.94677734375}, {"start": 1481.15, "end": 1481.35, "word": " is", "probability": 0.9541015625}, {"start": 1481.35, "end": 1481.77, "word": " five.", "probability": 0.84716796875}, {"start": 1483.29, "end": 1483.89, "word": " Divide", "probability": 0.947998046875}, {"start": 1483.89, "end": 1484.07, "word": " by", "probability": 0.9619140625}, {"start": 1484.07, "end": 1484.35, "word": " root", "probability": 0.86962890625}, {"start": 1484.35, "end": 1484.67, "word": " N,", "probability": 0.75537109375}, {"start": 1484.97, "end": 1485.19, "word": " and", "probability": 0.93310546875}, {"start": 1485.19, "end": 1485.43, "word": " N", "probability": 0.99609375}, {"start": 1485.43, "end": 1485.63, "word": " is", "probability": 0.95068359375}, {"start": 1485.63, 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Now the question is, is this value of negative 1.66 full in the rejection regions in one of these two? It's full in the non-rejection regions, so we don't reject the null hypothesis. So since this statistic", "tokens": [639, 2729, 3671, 502, 13, 15237, 13, 823, 264, 1168, 307, 11, 307, 341, 2158, 295, 3671, 502, 13, 15237, 1577, 294, 264, 26044, 10682, 294, 472, 295, 613, 732, 30, 467, 311, 1577, 294, 264, 2107, 12, 265, 1020, 313, 10682, 11, 370, 321, 500, 380, 8248, 264, 18184, 17291, 13, 407, 1670, 341, 29588], "avg_logprob": -0.17927631997225577, "compression_ratio": 1.5782312925170068, "no_speech_prob": 0.0, "words": [{"start": 1486.97, "end": 1487.37, "word": " This", "probability": 0.5185546875}, {"start": 1487.37, "end": 1487.79, "word": " gave", "probability": 0.578125}, {"start": 1487.79, "end": 1489.51, "word": " negative", "probability": 0.7490234375}, {"start": 1489.51, "end": 1490.19, "word": " 1", "probability": 0.90673828125}, {"start": 1490.19, "end": 1490.73, "word": ".66.", "probability": 0.940185546875}, {"start": 1492.79, "end": 1493.23, "word": " Now", "probability": 0.951171875}, {"start": 1493.23, "end": 1493.39, "word": " the", "probability": 0.60546875}, {"start": 1493.39, "end": 1493.69, "word": " question", "probability": 0.90966796875}, {"start": 1493.69, "end": 1494.03, "word": " is,", "probability": 0.94921875}, {"start": 1495.25, "end": 1496.01, "word": " is", "probability": 0.81689453125}, {"start": 1496.01, "end": 1496.27, "word": " this", "probability": 0.9482421875}, {"start": 1496.27, "end": 1496.67, "word": " value", "probability": 0.97216796875}, {"start": 1496.67, "end": 1496.91, "word": " of", "probability": 0.96337890625}, {"start": 1496.91, "end": 1497.25, "word": " negative", "probability": 0.87353515625}, {"start": 1497.25, "end": 1497.53, "word": " 1", "probability": 0.9931640625}, {"start": 1497.53, "end": 1498.21, "word": ".66", "probability": 0.994384765625}, {"start": 1498.21, "end": 1499.11, "word": " full", "probability": 0.301025390625}, {"start": 1499.11, "end": 1499.41, "word": " in", "probability": 0.93359375}, {"start": 1499.41, "end": 1499.55, "word": " the", "probability": 0.90625}, {"start": 1499.55, "end": 1499.85, "word": " rejection", "probability": 0.96435546875}, {"start": 1499.85, "end": 1500.43, "word": " regions", "probability": 0.9814453125}, {"start": 1500.43, "end": 1501.33, "word": " in", "probability": 0.71337890625}, {"start": 1501.33, "end": 1501.51, "word": " one", "probability": 0.9248046875}, {"start": 1501.51, "end": 1501.67, "word": " of", "probability": 0.96337890625}, {"start": 1501.67, "end": 1501.89, "word": " these", "probability": 0.83984375}, {"start": 1501.89, "end": 1502.19, "word": " two?", "probability": 0.89208984375}, {"start": 1503.61, "end": 1504.33, "word": " It's", "probability": 0.927490234375}, {"start": 1504.33, "end": 1505.15, "word": " full", "probability": 0.89111328125}, {"start": 1505.15, "end": 1505.73, "word": " in", "probability": 0.9443359375}, {"start": 1505.73, "end": 1505.93, "word": " the", "probability": 0.9091796875}, {"start": 1505.93, "end": 1506.21, "word": " non", "probability": 0.962890625}, {"start": 1506.21, "end": 1506.65, "word": "-rejection", "probability": 0.871337890625}, {"start": 1506.65, "end": 1507.01, "word": " regions,", "probability": 0.7041015625}, {"start": 1507.13, "end": 1507.25, "word": " so", "probability": 0.9453125}, {"start": 1507.25, "end": 1507.39, "word": " we", "probability": 0.91357421875}, {"start": 1507.39, "end": 1507.65, "word": " don't", "probability": 0.9755859375}, {"start": 1507.65, "end": 1508.09, "word": " reject", "probability": 0.9248046875}, {"start": 1508.09, "end": 1508.29, "word": " the", "probability": 0.765625}, {"start": 1508.29, "end": 1508.41, "word": " null", "probability": 0.51220703125}, {"start": 1508.41, "end": 1508.85, "word": " hypothesis.", "probability": 0.7998046875}, {"start": 1509.47, "end": 1509.79, "word": " So", "probability": 0.94873046875}, {"start": 1509.79, "end": 1510.23, "word": " since", "probability": 0.72119140625}, {"start": 1510.23, "end": 1510.53, "word": " this", "probability": 0.72412109375}, {"start": 1510.53, "end": 1511.05, "word": " statistic", "probability": 0.91064453125}], "temperature": 1.0}, {"id": 55, "seek": 154168, "start": 1512.52, "end": 1541.68, "text": " is not in the rejection region, then we don't reject them. So now my conclusion is there is not a significant change in the number of complaints. Even there are some changes, but these changes are not significant. 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Let's do another problem. Let's look at one of the practice problems we have.", "tokens": [407, 300, 311, 337, 10205, 25699, 10938, 256, 12, 31636, 13, 961, 311, 360, 1071, 1154, 13, 961, 311, 574, 412, 472, 295, 264, 3124, 2740, 321, 362, 13], "avg_logprob": -0.15755207737286886, "compression_ratio": 1.2475247524752475, "no_speech_prob": 0.0, "words": [{"start": 1544.09, "end": 1544.41, "word": " So", "probability": 0.80029296875}, {"start": 1544.41, "end": 1544.91, "word": " that's", "probability": 0.8720703125}, {"start": 1544.91, "end": 1545.37, "word": " for", "probability": 0.9404296875}, {"start": 1545.37, "end": 1546.65, "word": " performing", "probability": 0.767578125}, {"start": 1546.65, "end": 1547.59, "word": " paired", "probability": 0.322998046875}, {"start": 1547.59, "end": 1548.41, "word": " samples", "probability": 0.79443359375}, {"start": 1548.41, "end": 1549.45, "word": " t", "probability": 0.442138671875}, {"start": 1549.45, "end": 1549.85, "word": "-test.", "probability": 0.8349609375}, {"start": 1551.25, "end": 1552.05, "word": " Let's", "probability": 0.965087890625}, {"start": 1552.05, "end": 1552.23, "word": " do", "probability": 0.9443359375}, {"start": 1552.23, "end": 1552.57, "word": " another", "probability": 0.9189453125}, {"start": 1552.57, "end": 1552.99, "word": " problem.", "probability": 0.87109375}, {"start": 1561.69, "end": 1562.49, "word": " Let's", "probability": 0.9619140625}, {"start": 1562.49, "end": 1562.65, "word": " look", "probability": 0.96435546875}, {"start": 1562.65, "end": 1562.87, "word": " at", "probability": 0.9677734375}, {"start": 1562.87, "end": 1563.13, "word": " one", "probability": 0.92626953125}, {"start": 1563.13, "end": 1563.29, "word": " of", "probability": 0.9619140625}, {"start": 1563.29, "end": 1563.43, "word": " the", "probability": 0.91015625}, {"start": 1563.43, "end": 1563.77, "word": " practice", "probability": 0.88818359375}, {"start": 1563.77, "end": 1564.17, "word": " problems", "probability": 0.85595703125}, {"start": 1564.17, "end": 1564.49, "word": " we", "probability": 0.95361328125}, {"start": 1564.49, "end": 1564.83, "word": " have.", "probability": 0.94775390625}], "temperature": 1.0}, {"id": 57, "seek": 160866, "start": 1583.36, "end": 1608.66, "text": " to test the effectiveness of a business school preparation course. To test the effectiveness of a business school preparation course. Eight students took a general business test before and after the course. The results are given below. So we have here eight students took", "tokens": [281, 1500, 264, 21208, 295, 257, 1606, 1395, 13081, 1164, 13, 1407, 1500, 264, 21208, 295, 257, 1606, 1395, 13081, 1164, 13, 17708, 1731, 1890, 257, 2674, 1606, 1500, 949, 293, 934, 264, 1164, 13, 440, 3542, 366, 2212, 2507, 13, 407, 321, 362, 510, 3180, 1731, 1890], "avg_logprob": -0.1474011430934984, "compression_ratio": 1.9568345323741008, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1583.36, "end": 1583.86, "word": " to", "probability": 0.408203125}, {"start": 1583.86, "end": 1584.24, "word": " test", "probability": 0.87548828125}, {"start": 1584.24, "end": 1584.52, "word": " the", "probability": 0.88623046875}, {"start": 1584.52, "end": 1585.12, "word": " effectiveness", "probability": 0.8916015625}, {"start": 1585.12, "end": 1587.44, "word": " of", "probability": 0.93408203125}, {"start": 1587.44, "end": 1587.68, "word": " a", "probability": 0.9521484375}, {"start": 1587.68, "end": 1588.16, "word": " business", "probability": 0.9169921875}, {"start": 1588.16, "end": 1588.76, "word": " school", "probability": 0.8447265625}, {"start": 1588.76, "end": 1589.32, "word": " preparation", "probability": 0.95458984375}, {"start": 1589.32, "end": 1590.08, "word": " course.", "probability": 0.9521484375}, {"start": 1590.92, "end": 1591.04, "word": " To", "probability": 0.51025390625}, {"start": 1591.04, "end": 1591.44, "word": " test", "probability": 0.8779296875}, {"start": 1591.44, "end": 1591.76, "word": " the", "probability": 0.9013671875}, {"start": 1591.76, "end": 1592.32, "word": " effectiveness", "probability": 0.89501953125}, {"start": 1592.32, "end": 1593.38, "word": " of", "probability": 0.9638671875}, {"start": 1593.38, "end": 1593.52, "word": " a", "probability": 0.9775390625}, {"start": 1593.52, "end": 1593.84, "word": " business", "probability": 0.93408203125}, {"start": 1593.84, "end": 1594.18, "word": " school", "probability": 0.8896484375}, {"start": 1594.18, "end": 1594.62, "word": " preparation", "probability": 0.9453125}, {"start": 1594.62, "end": 1595.52, "word": " course.", "probability": 0.958984375}, {"start": 1596.04, "end": 1596.3, "word": " Eight", "probability": 0.83984375}, {"start": 1596.3, "end": 1596.98, "word": " students", "probability": 0.96728515625}, {"start": 1596.98, "end": 1597.46, "word": " took", "probability": 0.92578125}, {"start": 1597.46, "end": 1597.96, "word": " a", "probability": 0.9912109375}, {"start": 1597.96, "end": 1598.24, "word": " general", "probability": 0.88623046875}, {"start": 1598.24, "end": 1598.64, "word": " business", "probability": 0.92041015625}, {"start": 1598.64, "end": 1598.98, "word": " test", "probability": 0.84619140625}, {"start": 1598.98, "end": 1599.44, "word": " before", "probability": 0.83203125}, {"start": 1599.44, "end": 1599.66, "word": " and", "probability": 0.93603515625}, {"start": 1599.66, "end": 1600.02, "word": " after", "probability": 0.82421875}, {"start": 1600.02, "end": 1600.24, "word": " the", "probability": 0.91748046875}, {"start": 1600.24, "end": 1600.58, "word": " course.", "probability": 0.9599609375}, {"start": 1602.02, "end": 1602.38, "word": " The", "probability": 0.8779296875}, {"start": 1602.38, "end": 1602.76, "word": " results", "probability": 0.890625}, {"start": 1602.76, "end": 1603.0, "word": " are", "probability": 0.9423828125}, {"start": 1603.0, "end": 1603.24, "word": " given", "probability": 0.8837890625}, {"start": 1603.24, "end": 1603.58, "word": " below.", "probability": 0.94775390625}, {"start": 1604.46, "end": 1604.62, "word": " So", "probability": 0.951171875}, {"start": 1604.62, "end": 1604.78, "word": " we", "probability": 0.720703125}, {"start": 1604.78, "end": 1605.0, "word": " have", "probability": 0.94873046875}, {"start": 1605.0, "end": 1605.28, "word": " here", "probability": 0.85107421875}, {"start": 1605.28, "end": 1605.94, "word": " eight", "probability": 0.5537109375}, {"start": 1605.94, "end": 1607.3, "word": " students", "probability": 0.97216796875}, {"start": 1607.3, "end": 1608.66, "word": " took", "probability": 0.884765625}], "temperature": 1.0}, {"id": 58, "seek": 163238, "start": 1609.54, "end": 1632.38, "text": " the general business test before and after the course. So here we have business school preparation course and we have scores before taking this course, this preparation course and after. And the question is if", "tokens": [264, 2674, 1606, 1500, 949, 293, 934, 264, 1164, 13, 407, 510, 321, 362, 1606, 1395, 13081, 1164, 293, 321, 362, 13444, 949, 1940, 341, 1164, 11, 341, 13081, 1164, 293, 934, 13, 400, 264, 1168, 307, 498], "avg_logprob": -0.2674278953136542, "compression_ratio": 1.640625, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1609.54, "end": 1609.98, "word": " the", "probability": 0.27294921875}, {"start": 1609.98, "end": 1610.52, "word": " general", "probability": 0.818359375}, {"start": 1610.52, "end": 1611.12, "word": " business", "probability": 0.91162109375}, {"start": 1611.12, "end": 1611.56, "word": " test", "probability": 0.83056640625}, {"start": 1611.56, "end": 1612.7, "word": " before", "probability": 0.71240234375}, {"start": 1612.7, "end": 1613.06, "word": " and", "probability": 0.935546875}, {"start": 1613.06, "end": 1613.54, "word": " after", "probability": 0.830078125}, {"start": 1613.54, "end": 1613.8, "word": " the", "probability": 0.84521484375}, {"start": 1613.8, "end": 1614.16, "word": " course.", "probability": 0.95556640625}, {"start": 1614.86, "end": 1615.06, "word": " So", "probability": 0.89697265625}, {"start": 1615.06, "end": 1615.26, "word": " here", "probability": 0.7216796875}, {"start": 1615.26, "end": 1615.42, "word": " we", "probability": 0.88427734375}, {"start": 1615.42, "end": 1615.72, "word": " have", "probability": 0.951171875}, {"start": 1615.72, "end": 1618.64, "word": " business", "probability": 0.6337890625}, {"start": 1618.64, "end": 1619.14, "word": " school", "probability": 0.68115234375}, {"start": 1619.14, "end": 1619.88, "word": " preparation", "probability": 0.8037109375}, {"start": 1619.88, "end": 1620.62, "word": " course", "probability": 0.953125}, {"start": 1620.62, "end": 1622.64, "word": " and", "probability": 0.431640625}, {"start": 1622.64, "end": 1622.78, "word": " we", "probability": 0.89306640625}, {"start": 1622.78, "end": 1622.92, "word": " have", "probability": 0.94482421875}, {"start": 1622.92, "end": 1623.32, "word": " scores", "probability": 0.56005859375}, {"start": 1623.32, "end": 1623.82, "word": " before", "probability": 0.86376953125}, {"start": 1623.82, "end": 1624.7, "word": " taking", "probability": 0.89111328125}, {"start": 1624.7, "end": 1625.32, "word": " this", "probability": 0.9365234375}, {"start": 1625.32, "end": 1625.8, "word": " course,", "probability": 0.4736328125}, {"start": 1626.1, "end": 1626.24, "word": " this", "probability": 0.8671875}, {"start": 1626.24, "end": 1626.74, "word": " preparation", "probability": 0.94287109375}, {"start": 1626.74, "end": 1627.26, "word": " course", "probability": 0.9599609375}, {"start": 1627.26, "end": 1627.92, "word": " and", "probability": 0.65576171875}, {"start": 1627.92, "end": 1628.34, "word": " after.", "probability": 0.8388671875}, {"start": 1629.12, "end": 1629.34, "word": " And", "probability": 0.5927734375}, {"start": 1629.34, "end": 1629.46, "word": " the", "probability": 0.91357421875}, {"start": 1629.46, "end": 1629.78, "word": " question", "probability": 0.91943359375}, {"start": 1629.78, "end": 1630.12, "word": " is", "probability": 0.9482421875}, {"start": 1630.12, "end": 1632.38, "word": " if", "probability": 0.57421875}], "temperature": 1.0}, {"id": 59, "seek": 165321, "start": 1633.31, "end": 1653.21, "text": " this course is effective or not. I mean if the course before is smaller than after. I mean if the course score after is above or is more than or greater than. So we have this data for eight different students. Now the questions are,", "tokens": [341, 1164, 307, 4942, 420, 406, 13, 286, 914, 498, 264, 1164, 949, 307, 4356, 813, 934, 13, 286, 914, 498, 264, 1164, 6175, 934, 307, 3673, 420, 307, 544, 813, 420, 5044, 813, 13, 407, 321, 362, 341, 1412, 337, 3180, 819, 1731, 13, 823, 264, 1651, 366, 11], "avg_logprob": -0.19730392332170524, "compression_ratio": 1.606896551724138, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1633.31, "end": 1633.77, "word": " this", "probability": 0.35498046875}, {"start": 1633.77, "end": 1634.23, "word": " course", "probability": 0.9189453125}, {"start": 1634.23, "end": 1634.47, "word": " is", "probability": 0.94482421875}, {"start": 1634.47, "end": 1634.91, "word": " effective", "probability": 0.481689453125}, {"start": 1634.91, "end": 1635.13, "word": " or", "probability": 0.5419921875}, {"start": 1635.13, "end": 1635.33, "word": " not.", "probability": 0.9384765625}, {"start": 1635.77, "end": 1635.93, "word": " I", "probability": 0.93701171875}, {"start": 1635.93, "end": 1636.19, "word": " mean", "probability": 0.962890625}, {"start": 1636.19, "end": 1637.15, "word": " if", "probability": 0.56103515625}, {"start": 1637.15, "end": 1637.37, "word": " the", "probability": 0.88623046875}, {"start": 1637.37, "end": 1637.65, "word": " course", "probability": 0.93603515625}, {"start": 1637.65, "end": 1638.25, "word": " before", "probability": 0.88330078125}, {"start": 1638.25, "end": 1638.65, "word": " is", "probability": 0.92919921875}, {"start": 1638.65, "end": 1639.01, "word": " smaller", "probability": 0.8447265625}, {"start": 1639.01, "end": 1639.33, "word": " than", "probability": 0.92041015625}, {"start": 1639.33, "end": 1639.65, "word": " after.", "probability": 0.65966796875}, {"start": 1639.65, "end": 1639.85, "word": " I", "probability": 0.9404296875}, {"start": 1639.85, "end": 1640.05, "word": " mean", "probability": 0.9638671875}, {"start": 1640.05, "end": 1640.27, "word": " if", "probability": 0.85498046875}, {"start": 1640.27, "end": 1640.43, "word": " the", "probability": 0.8974609375}, {"start": 1640.43, "end": 1640.85, "word": " course", "probability": 0.9619140625}, {"start": 1640.85, "end": 1641.97, "word": " score", "probability": 0.73388671875}, {"start": 1641.97, "end": 1642.51, "word": " after", "probability": 0.8369140625}, {"start": 1642.51, "end": 1643.89, "word": " is", "probability": 0.8447265625}, {"start": 1643.89, "end": 1644.33, "word": " above", "probability": 0.873046875}, {"start": 1644.33, "end": 1644.55, "word": " or", "probability": 0.8916015625}, {"start": 1644.55, "end": 1644.73, "word": " is", "probability": 0.87451171875}, {"start": 1644.73, "end": 1644.91, "word": " more", "probability": 0.9013671875}, {"start": 1644.91, "end": 1645.17, "word": " than", "probability": 0.93896484375}, {"start": 1645.17, "end": 1645.33, "word": " or", "probability": 0.83251953125}, {"start": 1645.33, "end": 1645.63, "word": " greater", "probability": 0.90966796875}, {"start": 1645.63, "end": 1645.99, "word": " than.", "probability": 0.947265625}, {"start": 1646.65, "end": 1646.85, "word": " So", "probability": 0.9306640625}, {"start": 1646.85, "end": 1646.97, "word": " we", "probability": 0.6806640625}, {"start": 1646.97, "end": 1647.19, "word": " have", "probability": 0.9453125}, {"start": 1647.19, "end": 1647.79, "word": " this", "probability": 0.94287109375}, {"start": 1647.79, "end": 1648.17, "word": " data", "probability": 0.94482421875}, {"start": 1648.17, "end": 1650.15, "word": " for", "probability": 0.86083984375}, {"start": 1650.15, "end": 1650.49, "word": " eight", "probability": 0.830078125}, {"start": 1650.49, "end": 1651.07, "word": " different", "probability": 0.88232421875}, {"start": 1651.07, "end": 1651.59, "word": " students.", "probability": 0.970703125}, {"start": 1651.99, "end": 1652.15, "word": " Now", "probability": 0.95654296875}, {"start": 1652.15, "end": 1652.31, "word": " the", "probability": 0.82177734375}, {"start": 1652.31, "end": 1652.79, "word": " questions", "probability": 0.943359375}, {"start": 1652.79, "end": 1653.21, "word": " are,", "probability": 0.9365234375}], "temperature": 1.0}, {"id": 60, "seek": 167271, "start": 1655.49, "end": 1672.71, "text": " Number of degrees of freedom. So since n equals 8, n minus 1 is 7. So first step, first question, n minus 1 is 7.", "tokens": [5118, 295, 5310, 295, 5645, 13, 407, 1670, 297, 6915, 1649, 11, 297, 3175, 502, 307, 1614, 13, 407, 700, 1823, 11, 700, 1168, 11, 297, 3175, 502, 307, 1614, 13], "avg_logprob": -0.4172363271936774, "compression_ratio": 1.2954545454545454, "no_speech_prob": 0.0, "words": [{"start": 1655.49, "end": 1656.21, "word": " Number", "probability": 0.2059326171875}, {"start": 1656.21, "end": 1656.57, "word": " of", "probability": 0.9248046875}, {"start": 1656.57, "end": 1656.83, "word": " degrees", "probability": 0.90087890625}, {"start": 1656.83, "end": 1657.03, "word": " of", "probability": 0.96337890625}, {"start": 1657.03, "end": 1657.35, "word": " freedom.", "probability": 0.9541015625}, {"start": 1659.35, "end": 1659.63, "word": " So", "probability": 0.3291015625}, {"start": 1659.63, "end": 1659.99, "word": " since", "probability": 0.58984375}, {"start": 1659.99, "end": 1660.21, "word": " n", "probability": 0.68212890625}, {"start": 1660.21, "end": 1660.45, "word": " equals", "probability": 0.268310546875}, {"start": 1660.45, "end": 1661.65, "word": " 8,", "probability": 0.3154296875}, {"start": 1662.51, "end": 1663.17, "word": " n", "probability": 0.40966796875}, {"start": 1663.17, "end": 1663.49, "word": " minus", "probability": 0.80859375}, {"start": 1663.49, "end": 1663.77, "word": " 1", "probability": 0.7705078125}, {"start": 1663.77, "end": 1664.03, "word": " is", "probability": 0.748046875}, {"start": 1664.03, "end": 1664.51, "word": " 7.", "probability": 0.89990234375}, {"start": 1667.03, "end": 1667.39, "word": " So", "probability": 0.44580078125}, {"start": 1667.39, "end": 1667.69, "word": " first", "probability": 0.6142578125}, {"start": 1667.69, "end": 1668.07, "word": " step,", "probability": 0.8759765625}, {"start": 1670.07, "end": 1670.49, "word": " first", "probability": 0.4990234375}, {"start": 1670.49, "end": 1670.91, "word": " question,", "probability": 0.91455078125}, {"start": 1671.05, "end": 1671.19, "word": " n", "probability": 0.9345703125}, {"start": 1671.19, "end": 1671.47, "word": " minus", "probability": 0.9638671875}, {"start": 1671.47, "end": 1671.79, "word": " 1", "probability": 0.8515625}, {"start": 1671.79, "end": 1672.51, "word": " is", "probability": 0.8388671875}, {"start": 1672.51, "end": 1672.71, "word": " 7.", "probability": 0.927734375}], "temperature": 1.0}, {"id": 61, "seek": 170173, "start": 1677.49, "end": 1701.73, "text": " Next. The value of the sample mean difference is if the difference scores reflect the results of the exam after, the course after minus the results of the exam before. Let's see. I will use Excel in order to find the means for before and after.", "tokens": [3087, 13, 440, 2158, 295, 264, 6889, 914, 2649, 307, 498, 264, 2649, 13444, 5031, 264, 3542, 295, 264, 1139, 934, 11, 264, 1164, 934, 3175, 264, 3542, 295, 264, 1139, 949, 13, 961, 311, 536, 13, 286, 486, 764, 19060, 294, 1668, 281, 915, 264, 1355, 337, 949, 293, 934, 13], "avg_logprob": -0.18897406110223733, "compression_ratio": 1.6333333333333333, "no_speech_prob": 0.0, "words": [{"start": 1677.49, "end": 1677.93, "word": " Next.", "probability": 0.6845703125}, {"start": 1678.53, "end": 1678.71, "word": " The", "probability": 0.73974609375}, {"start": 1678.71, "end": 1679.11, "word": " value", "probability": 0.96826171875}, {"start": 1679.11, "end": 1679.35, "word": " of", "probability": 0.96484375}, {"start": 1679.35, "end": 1679.53, "word": " the", "probability": 0.89453125}, {"start": 1679.53, "end": 1679.81, "word": " sample", "probability": 0.763671875}, {"start": 1679.81, "end": 1680.19, "word": " mean", "probability": 0.88916015625}, {"start": 1680.19, "end": 1681.09, "word": " difference", "probability": 0.84033203125}, {"start": 1681.09, "end": 1682.01, "word": " is", "probability": 0.90771484375}, {"start": 1682.01, "end": 1683.33, "word": " if", "probability": 0.7998046875}, {"start": 1683.33, "end": 1684.07, "word": " the", "probability": 0.8857421875}, {"start": 1684.07, "end": 1685.25, "word": " difference", "probability": 0.80029296875}, {"start": 1685.25, "end": 1685.87, "word": " scores", "probability": 0.74462890625}, {"start": 1685.87, "end": 1687.21, "word": " reflect", "probability": 0.92236328125}, {"start": 1687.21, "end": 1687.49, "word": " the", "probability": 0.88427734375}, {"start": 1687.49, "end": 1688.03, "word": " results", "probability": 0.8642578125}, {"start": 1688.03, "end": 1688.33, "word": " of", "probability": 0.95849609375}, {"start": 1688.33, "end": 1688.49, "word": " the", "probability": 0.92236328125}, {"start": 1688.49, "end": 1688.83, "word": " exam", "probability": 0.96435546875}, {"start": 1688.83, "end": 1689.39, "word": " after,", "probability": 0.8369140625}, {"start": 1690.21, "end": 1690.39, "word": " the", "probability": 0.6162109375}, {"start": 1690.39, "end": 1690.81, "word": " course", "probability": 0.93212890625}, {"start": 1690.81, "end": 1691.85, "word": " after", "probability": 0.69189453125}, {"start": 1691.85, "end": 1692.43, "word": " minus", "probability": 0.91943359375}, {"start": 1692.43, "end": 1692.77, "word": " the", "probability": 0.89208984375}, {"start": 1692.77, "end": 1693.09, "word": " results", "probability": 0.4677734375}, {"start": 1693.09, "end": 1693.27, "word": " of", "probability": 0.9345703125}, {"start": 1693.27, "end": 1693.43, "word": " the", "probability": 0.87060546875}, {"start": 1693.43, "end": 1693.91, "word": " exam", "probability": 0.94970703125}, {"start": 1693.91, "end": 1694.27, "word": " before.", "probability": 0.8818359375}, {"start": 1694.91, "end": 1695.63, "word": " Let's", "probability": 0.943115234375}, {"start": 1695.63, "end": 1695.83, "word": " see.", "probability": 0.8701171875}, {"start": 1696.29, "end": 1696.49, "word": " I", "probability": 0.9951171875}, {"start": 1696.49, "end": 1696.67, "word": " will", "probability": 0.89501953125}, {"start": 1696.67, "end": 1696.91, "word": " use", "probability": 0.88525390625}, {"start": 1696.91, "end": 1697.47, "word": " Excel", "probability": 0.796875}, {"start": 1697.47, "end": 1698.09, "word": " in", "probability": 0.9228515625}, {"start": 1698.09, "end": 1698.27, "word": " order", "probability": 0.91015625}, {"start": 1698.27, "end": 1698.57, "word": " to", "probability": 0.96533203125}, {"start": 1698.57, "end": 1698.93, "word": " find", "probability": 0.88818359375}, {"start": 1698.93, "end": 1699.27, "word": " the", "probability": 0.9228515625}, {"start": 1699.27, "end": 1699.63, "word": " means", "probability": 0.91015625}, {"start": 1699.63, "end": 1700.85, "word": " for", "probability": 0.52587890625}, {"start": 1700.85, "end": 1701.15, "word": " before", "probability": 0.8291015625}, {"start": 1701.15, "end": 1701.35, "word": " and", "probability": 0.94189453125}, {"start": 1701.35, "end": 1701.73, "word": " after.", "probability": 0.84716796875}], "temperature": 1.0}, {"id": 62, "seek": 174126, "start": 1719.24, "end": 1741.26, "text": " So these values are before. So x1 and after. So difference now, for example, it's x2 minus x1. So x2 minus x1. So we have these results.", "tokens": [407, 613, 4190, 366, 949, 13, 407, 2031, 16, 293, 934, 13, 407, 2649, 586, 11, 337, 1365, 11, 309, 311, 2031, 17, 3175, 2031, 16, 13, 407, 2031, 17, 3175, 2031, 16, 13, 407, 321, 362, 613, 3542, 13], "avg_logprob": -0.16796875290754365, "compression_ratio": 1.3047619047619048, "no_speech_prob": 0.0, "words": [{"start": 1719.24, "end": 1719.8, "word": " So", "probability": 0.72216796875}, {"start": 1719.8, "end": 1720.42, "word": " these", "probability": 0.67333984375}, {"start": 1720.42, "end": 1720.82, "word": " values", "probability": 0.95947265625}, {"start": 1720.82, "end": 1721.2, "word": " are", "probability": 0.9326171875}, {"start": 1721.2, "end": 1722.64, "word": " before.", "probability": 0.7734375}, {"start": 1723.8, "end": 1724.66, "word": " So", "probability": 0.818359375}, {"start": 1724.66, "end": 1725.06, "word": " x1", "probability": 0.68212890625}, {"start": 1725.06, "end": 1725.3, "word": " and", "probability": 0.84619140625}, 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So the answer is 50 if the difference score reflects the result of the exam after minus 5. Next, the value of the standard error of the difference scores. Now, we should compute first SD. So here, D bar is 50. First, we have to compute SD.", "tokens": [295, 264, 6889, 914, 2649, 307, 2625, 13, 407, 264, 1867, 307, 2625, 498, 264, 2649, 6175, 18926, 264, 1874, 295, 264, 1139, 934, 3175, 1025, 13, 3087, 11, 264, 2158, 295, 264, 3832, 6713, 295, 264, 2649, 13444, 13, 823, 11, 321, 820, 14722, 700, 14638, 13, 407, 510, 11, 413, 2159, 307, 2625, 13, 2386, 11, 321, 362, 281, 14722, 14638, 13], "avg_logprob": -0.2282451923076923, "compression_ratio": 1.6488095238095237, "no_speech_prob": 0.0, "words": [{"start": 1776.26, "end": 1776.58, "word": " of", "probability": 0.3359375}, {"start": 1776.58, "end": 1776.76, "word": " the", "probability": 0.84912109375}, {"start": 1776.76, "end": 1777.08, "word": " sample", "probability": 0.5849609375}, {"start": 1777.08, "end": 1777.64, "word": " mean", "probability": 0.92138671875}, {"start": 1777.64, "end": 1778.24, "word": " difference", "probability": 0.8369140625}, {"start": 1778.24, "end": 1778.58, "word": " is", "probability": 0.9150390625}, {"start": 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"text": " He asked about the standard error of this difference. So SD over square root of 1. Now SD, the standard deviation. Standard deviation of the differences. Even some of these, some of the differences are negative.", "tokens": [634, 2351, 466, 264, 3832, 6713, 295, 341, 2649, 13, 407, 14638, 670, 3732, 5593, 295, 502, 13, 823, 14638, 11, 264, 3832, 25163, 13, 21298, 25163, 295, 264, 7300, 13, 2754, 512, 295, 613, 11, 512, 295, 264, 7300, 366, 3671, 13], "avg_logprob": -0.2974076630039649, "compression_ratio": 1.6825396825396826, "no_speech_prob": 0.0, "words": [{"start": 1805.57, "end": 1805.83, "word": " He", "probability": 0.2529296875}, {"start": 1805.83, "end": 1805.99, "word": " asked", "probability": 0.50439453125}, {"start": 1805.99, "end": 1806.25, "word": " about", "probability": 0.87548828125}, {"start": 1806.25, "end": 1806.49, "word": " the", "probability": 0.8759765625}, {"start": 1806.49, "end": 1806.85, "word": " standard", "probability": 0.8671875}, {"start": 1806.85, "end": 1807.21, "word": " error", "probability": 0.7666015625}, {"start": 1807.21, "end": 1809.03, "word": " of", "probability": 0.689453125}, {"start": 1809.03, "end": 1809.23, "word": " this", "probability": 0.90185546875}, {"start": 1809.23, "end": 1809.71, "word": " difference.", "probability": 0.884765625}, {"start": 1810.45, "end": 1810.61, "word": " So", "probability": 0.732421875}, {"start": 1810.61, "end": 1811.15, "word": " SD", "probability": 0.57373046875}, {"start": 1811.15, "end": 1811.55, "word": " over", "probability": 0.86767578125}, {"start": 1811.55, "end": 1813.25, "word": " square", "probability": 0.435791015625}, {"start": 1813.25, "end": 1813.41, "word": " root", "probability": 0.94580078125}, {"start": 1813.41, "end": 1813.51, "word": " of", "probability": 0.65478515625}, {"start": 1813.51, "end": 1813.71, "word": " 1.", "probability": 0.248291015625}, {"start": 1815.03, "end": 1815.39, "word": " Now", "probability": 0.849609375}, {"start": 1815.39, "end": 1816.15, "word": " SD,", "probability": 0.58447265625}, {"start": 1816.69, "end": 1816.83, "word": " the", "probability": 0.84326171875}, {"start": 1816.83, "end": 1817.15, "word": " standard", "probability": 0.92578125}, {"start": 1817.15, "end": 1817.67, "word": " deviation.", "probability": 0.9013671875}, {"start": 1818.97, "end": 1819.69, "word": " Standard", "probability": 0.8017578125}, {"start": 1819.69, "end": 1820.29, "word": " deviation", "probability": 0.9052734375}, {"start": 1820.29, "end": 1825.37, "word": " of", "probability": 0.8212890625}, {"start": 1825.37, "end": 1825.57, "word": " the", "probability": 0.92236328125}, {"start": 1825.57, "end": 1826.05, "word": " differences.", "probability": 0.80224609375}, {"start": 1827.41, "end": 1827.81, "word": " Even", "probability": 0.83837890625}, {"start": 1827.81, "end": 1828.71, "word": " some", "probability": 0.8779296875}, {"start": 1828.71, "end": 1828.87, "word": " of", "probability": 0.970703125}, {"start": 1828.87, "end": 1829.21, "word": " these,", "probability": 0.74609375}, {"start": 1829.45, "end": 1829.85, "word": " some", "probability": 0.88818359375}, {"start": 1829.85, "end": 1829.99, "word": " of", "probability": 0.96630859375}, {"start": 1829.99, "end": 1830.09, "word": " the", "probability": 0.92041015625}, {"start": 1830.09, "end": 1830.49, "word": " differences", "probability": 0.82666015625}, {"start": 1830.49, "end": 1830.77, "word": " are", "probability": 0.86962890625}, {"start": 1830.77, "end": 1831.09, "word": " negative.", "probability": 0.9423828125}], "temperature": 1.0}, {"id": 66, "seek": 185733, "start": 1832.91, "end": 1857.33, "text": " But the standard deviation should be positive. So I got standard deviation to be 65.02747. I should divide this by square root. Square root of N. N is eight. 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So that's the standard error of the differences. So the value of the standard of the difference scores is 22.99. Now we have this answer 65. 65 again is the standard deviation.", "tokens": [5853, 13, 8494, 13, 407, 300, 311, 264, 3832, 6713, 295, 264, 7300, 13, 407, 264, 2158, 295, 264, 3832, 295, 264, 2649, 13444, 307, 5853, 13, 8494, 13, 823, 321, 362, 341, 1867, 11624, 13, 11624, 797, 307, 264, 3832, 25163, 13], "avg_logprob": -0.15545100109143692, "compression_ratio": 1.5206611570247934, "no_speech_prob": 0.0, "words": [{"start": 1859.27, "end": 1859.99, "word": " 22", "probability": 0.5302734375}, {"start": 1859.99, "end": 1860.71, "word": ".99.", "probability": 0.96533203125}, {"start": 1861.21, "end": 1861.59, "word": " So", "probability": 0.88232421875}, {"start": 1861.59, "end": 1861.87, "word": " that's", "probability": 0.81494140625}, {"start": 1861.87, "end": 1862.07, "word": " the", "probability": 0.91748046875}, {"start": 1862.07, "end": 1862.41, "word": " standard", "probability": 0.927734375}, {"start": 1862.41, "end": 1862.71, "word": " error", "probability": 0.890625}, {"start": 1862.71, "end": 1863.25, "word": " of", "probability": 0.9521484375}, {"start": 1863.25, "end": 1863.53, "word": " the", "probability": 0.88818359375}, {"start": 1863.53, "end": 1864.59, "word": " differences.", "probability": 0.7626953125}, {"start": 1865.35, "end": 1866.01, "word": " So", "probability": 0.9404296875}, {"start": 1866.01, "end": 1866.15, "word": " the", "probability": 0.88671875}, {"start": 1866.15, "end": 1866.47, "word": " value", "probability": 0.9521484375}, {"start": 1866.47, "end": 1866.65, "word": " of", "probability": 0.958984375}, {"start": 1866.65, "end": 1866.81, "word": " the", "probability": 0.904296875}, {"start": 1866.81, "end": 1867.09, "word": " standard", "probability": 0.91943359375}, {"start": 1867.09, "end": 1867.29, "word": " of", "probability": 0.58349609375}, {"start": 1867.29, "end": 1867.45, "word": " the", "probability": 0.830078125}, {"start": 1867.45, "end": 1867.85, "word": " difference", "probability": 0.81640625}, {"start": 1867.85, "end": 1868.23, "word": " scores", "probability": 0.646484375}, {"start": 1868.23, "end": 1868.71, "word": " is", "probability": 0.94287109375}, {"start": 1868.71, "end": 1870.03, "word": " 22", "probability": 0.94775390625}, {"start": 1870.03, "end": 1870.99, "word": ".99.", "probability": 0.99609375}, {"start": 1871.59, "end": 1871.89, "word": " Now", "probability": 0.947265625}, {"start": 1871.89, "end": 1872.03, "word": " we", "probability": 0.56494140625}, {"start": 1872.03, "end": 1872.35, "word": " have", "probability": 0.89892578125}, {"start": 1872.35, "end": 1872.55, "word": " this", "probability": 0.939453125}, {"start": 1872.55, "end": 1872.87, "word": " answer", "probability": 0.95458984375}, {"start": 1872.87, "end": 1873.41, "word": " 65.", "probability": 0.475341796875}, {"start": 1874.81, "end": 1875.53, "word": " 65", "probability": 0.91845703125}, {"start": 1875.53, "end": 1876.19, "word": " again", "probability": 0.79150390625}, {"start": 1876.19, "end": 1876.47, "word": " is", "probability": 0.90087890625}, {"start": 1876.47, "end": 1876.65, "word": " the", "probability": 0.91455078125}, {"start": 1876.65, "end": 1876.93, "word": " standard", "probability": 0.93408203125}, {"start": 1876.93, "end": 1877.35, "word": " deviation.", "probability": 0.9033203125}], "temperature": 1.0}, {"id": 68, "seek": 190217, "start": 1878.83, "end": 1902.17, "text": " Here he asks about the standard error of the reference. So this result should be divided by square root of n, which is eight. So I got the C is the correct answer. 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So again, here we have D, X2 minus X1 after minus before. So it's 0, mu D equals 0 against H1 mu D. You think positive or negative? 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That means, this means mu of x2 is greater than mu of x1. That means the business school preparation course is effective in improving exam scores. So it means we have upper third test, the alpha and n minus 1. 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At 5% level of significance, the decision for this hypothesis would be. In order to answer this question, we should compute either the B value or the test statistic. 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So this statistic is x bar minus, I'm sorry, d bar minus mean of D divided by SD over root N. So that equals to. 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Again, divide by SD over square root of N. Either 65.02 divided by eight, square root of eight, or just take this result. So divide by 22, that's easier. So now 55. 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Approximately 2.175. So the value of the test statistic is 2.175. Now the question is, is this value all in the rejection region? 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So since T statistic, T step equals 2.175 greater than 1.895, so the answer is reject the null hypothesis. 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It means the business school preparation course does improve exam score. 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We are talking about one tail test. So it's one. So you have this result. So your B value, the exact answer is seven one.", "tokens": [407, 341, 2158, 510, 307, 568, 13, 7773, 5310, 295, 5645, 307, 3407, 28537, 13, 492, 366, 1417, 466, 472, 6838, 1500, 13, 407, 309, 311, 472, 13, 407, 291, 362, 341, 1874, 13, 407, 428, 363, 2158, 11, 264, 1900, 1867, 307, 3407, 472, 13], "avg_logprob": -0.2987034473013371, "compression_ratio": 1.393939393939394, "no_speech_prob": 0.0, "words": [{"start": 2387.49, "end": 2387.99, "word": " So", "probability": 0.52001953125}, {"start": 2387.99, "end": 2388.29, "word": " this", "probability": 0.79296875}, {"start": 2388.29, "end": 2388.67, "word": " value", "probability": 0.96240234375}, {"start": 2388.67, "end": 2389.33, "word": " here", "probability": 0.787109375}, {"start": 2389.33, "end": 2396.93, "word": " is", "probability": 0.47998046875}, {"start": 2396.93, "end": 2397.09, "word": " 2", "probability": 0.84716796875}, {"start": 2397.09, "end": 2398.05, "word": ".17", "probability": 0.972412109375}, {"start": 2398.05, "end": 2399.15, "word": " degrees", "probability": 0.74169921875}, {"start": 2399.15, "end": 2399.41, "word": " of", "probability": 0.93310546875}, {"start": 2399.41, "end": 2399.71, "word": " freedom", "probability": 0.93603515625}, {"start": 2399.71, "end": 2401.13, "word": " is", "probability": 0.83154296875}, {"start": 2401.13, "end": 2401.57, "word": " seven", "probability": 0.31298828125}, {"start": 2401.57, "end": 2403.13, "word": " tails.", "probability": 0.300537109375}, {"start": 2403.37, "end": 2403.53, "word": " We", "probability": 0.93359375}, {"start": 2403.53, "end": 2403.67, "word": " are", "probability": 0.884765625}, {"start": 2403.67, "end": 2403.97, "word": " talking", "probability": 0.8525390625}, {"start": 2403.97, "end": 2404.27, "word": " about", "probability": 0.90673828125}, {"start": 2404.27, "end": 2404.59, "word": " one", "probability": 0.8388671875}, {"start": 2404.59, "end": 2404.95, "word": " tail", "probability": 0.80322265625}, {"start": 2404.95, "end": 2406.89, "word": " test.", "probability": 0.338623046875}, {"start": 2407.13, "end": 2407.13, "word": " So", "probability": 0.82861328125}, {"start": 2407.13, "end": 2407.25, "word": " it's", "probability": 0.920654296875}, {"start": 2407.25, "end": 2407.55, "word": " one.", "probability": 0.9228515625}, {"start": 2409.03, "end": 2409.63, "word": " So", "probability": 0.94921875}, {"start": 2409.63, "end": 2409.81, "word": " you", "probability": 0.95751953125}, {"start": 2409.81, "end": 2410.01, "word": " have", "probability": 0.943359375}, {"start": 2410.01, "end": 2410.23, "word": " this", "probability": 0.93701171875}, {"start": 2410.23, "end": 2410.59, "word": " result.", "probability": 0.7001953125}, {"start": 2410.73, "end": 2410.81, "word": " So", "probability": 0.9169921875}, {"start": 2410.81, "end": 2411.03, "word": " your", "probability": 0.79931640625}, {"start": 2411.03, "end": 2411.15, "word": " B", "probability": 0.77685546875}, {"start": 2411.15, "end": 2411.57, "word": " value,", "probability": 0.95849609375}, {"start": 2412.25, "end": 2412.39, "word": " the", "probability": 0.8984375}, {"start": 2412.39, "end": 2412.81, "word": " exact", "probability": 0.9423828125}, {"start": 2412.81, "end": 2413.35, "word": " answer", "probability": 0.97021484375}, {"start": 2413.35, "end": 2416.31, "word": " is", "probability": 0.383056640625}, {"start": 2416.31, "end": 2416.53, "word": " seven", "probability": 0.54052734375}, {"start": 2416.53, "end": 2416.79, "word": " one.", "probability": 0.59375}], "temperature": 1.0}, {"id": 87, "seek": 244719, "start": 2419.76, "end": 2447.2, "text": " 033, which is the exact one. The approximate p-value is between 025 and 05. And for sure, this value lies between 025 and 05. So since this p-value is smaller than alpha, then we reject the null hypothesis. So go back to the practice problems here. The exact answer is 0031.", "tokens": [1958, 10191, 11, 597, 307, 264, 1900, 472, 13, 440, 30874, 280, 12, 29155, 307, 1296, 1958, 6074, 293, 1958, 20, 13, 400, 337, 988, 11, 341, 2158, 9134, 1296, 1958, 6074, 293, 1958, 20, 13, 407, 1670, 341, 280, 12, 29155, 307, 4356, 813, 8961, 11, 550, 321, 8248, 264, 18184, 17291, 13, 407, 352, 646, 281, 264, 3124, 2740, 510, 13, 440, 1900, 1867, 307, 7143, 12967, 13], "avg_logprob": -0.18089788480543753, "compression_ratio": 1.5277777777777777, "no_speech_prob": 0.0, "words": [{"start": 2419.76, "end": 2420.4, "word": " 033,", "probability": 0.4971923828125}, {"start": 2421.8, "end": 2422.32, "word": " which", "probability": 0.480712890625}, {"start": 2422.32, "end": 2422.48, "word": " is", "probability": 0.8154296875}, {"start": 2422.48, "end": 2422.66, "word": " the", "probability": 0.9169921875}, {"start": 2422.66, "end": 2422.98, "word": " exact", "probability": 0.943359375}, {"start": 2422.98, "end": 2423.22, "word": " one.", "probability": 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between 025 and 05 by using a table with seven degrees of freedom. The last question for this table.", "tokens": [1228, 19060, 420, 1296, 1958, 6074, 293, 1958, 20, 538, 1228, 257, 3199, 365, 3407, 5310, 295, 5645, 13, 440, 1036, 1168, 337, 341, 3199, 13], "avg_logprob": -0.2717013778509917, "compression_ratio": 1.1485148514851484, "no_speech_prob": 0.0, "words": [{"start": 2448.59, "end": 2449.05, "word": " using", "probability": 0.72802734375}, {"start": 2449.05, "end": 2449.57, "word": " Excel", "probability": 0.732421875}, {"start": 2449.57, "end": 2450.39, "word": " or", "probability": 0.60693359375}, {"start": 2450.39, "end": 2450.99, "word": " between", "probability": 0.8935546875}, {"start": 2450.99, "end": 2452.03, "word": " 025", "probability": 0.510009765625}, {"start": 2452.03, "end": 2452.43, "word": " and", "probability": 0.927734375}, {"start": 2452.43, "end": 2453.13, "word": " 05", "probability": 0.957275390625}, {"start": 2453.13, "end": 2453.83, "word": " by", "probability": 0.943359375}, {"start": 2453.83, "end": 2454.39, "word": " using", "probability": 0.92138671875}, {"start": 2454.39, "end": 2455.37, "word": " a", "probability": 0.4580078125}, {"start": 2455.37, "end": 2455.79, "word": " table", "probability": 0.477783203125}, {"start": 2455.79, "end": 2456.57, "word": " with", "probability": 0.89892578125}, {"start": 2456.57, "end": 2457.01, "word": " seven", "probability": 0.55078125}, {"start": 2457.01, "end": 2457.53, "word": " degrees", "probability": 0.931640625}, {"start": 2457.53, "end": 2458.89, "word": " of", "probability": 0.96240234375}, {"start": 2458.89, "end": 2459.89, "word": " freedom.", "probability": 0.93310546875}, {"start": 2462.45, "end": 2463.61, "word": " The", "probability": 0.845703125}, {"start": 2463.61, "end": 2463.83, "word": " last", "probability": 0.87646484375}, {"start": 2463.83, "end": 2464.27, "word": " question", "probability": 0.9248046875}, {"start": 2464.27, "end": 2464.53, "word": " for", "probability": 0.94189453125}, {"start": 2464.53, "end": 2464.85, "word": " this", "probability": 0.95068359375}, {"start": 2464.85, "end": 2465.59, "word": " table.", "probability": 0.9052734375}], "temperature": 1.0}, {"id": 89, "seek": 249526, "start": 2466.4, "end": 2495.26, "text": " In examining differences, in examining the differences between related samples, we are essentially sampling from an underlying population of different scores, it's correct. So that's a practice problem for using paired sample status. Any question? 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So since we are talking about effective, it means mean after is greater than before. So mean after minus mean before is positive. That means mu D is positive. 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But to be more precise, you should write Mu smaller than Mu. But actually, when we compute the critical value, here we look only at the alternate hypothesis.", "tokens": [15601, 6915, 4018, 445, 337, 2199, 3579, 18184, 293, 18873, 17291, 13, 583, 281, 312, 544, 13600, 11, 291, 820, 2464, 15601, 4356, 813, 15601, 13, 583, 767, 11, 562, 321, 14722, 264, 4924, 2158, 11, 510, 321, 574, 787, 412, 264, 18873, 17291, 13], "avg_logprob": -0.29008151720399444, "compression_ratio": 1.5, "no_speech_prob": 0.0, "words": [{"start": 2550.47, "end": 2550.75, "word": " Mu", "probability": 0.189208984375}, {"start": 2550.75, "end": 2551.07, "word": " equals", "probability": 0.227783203125}, {"start": 2551.07, "end": 2551.43, "word": " zero", "probability": 0.59375}, {"start": 2551.43, "end": 2551.87, "word": " just", "probability": 0.458251953125}, {"start": 2551.87, "end": 2552.25, "word": " for", "probability": 0.9208984375}, {"start": 2552.25, "end": 2552.77, "word": " simple", "probability": 0.70068359375}, {"start": 2552.77, "end": 2553.73, "word": " writing", "probability": 0.86181640625}, {"start": 2553.73, "end": 2554.01, "word": " null", "probability": 0.88818359375}, {"start": 2554.01, "end": 2554.17, "word": " and", "probability": 0.4375}, {"start": 2554.17, "end": 2554.49, "word": " alternate", "probability": 0.459716796875}, {"start": 2554.49, "end": 2555.03, "word": " hypothesis.", "probability": 0.414794921875}, {"start": 2555.63, "end": 2555.85, "word": " But", "probability": 0.875}, {"start": 2555.85, "end": 2556.03, "word": " to", "probability": 0.90576171875}, {"start": 2556.03, "end": 2556.25, "word": " be", "probability": 0.95556640625}, {"start": 2556.25, "end": 2556.69, "word": " more", "probability": 0.91064453125}, {"start": 2556.69, "end": 2557.19, "word": " precise,", "probability": 0.95654296875}, {"start": 2557.41, "end": 2557.47, "word": " you", "probability": 0.9296875}, {"start": 2557.47, "end": 2557.71, "word": " should", "probability": 0.9638671875}, {"start": 2557.71, "end": 2558.09, "word": " write", "probability": 0.89501953125}, {"start": 2558.09, "end": 2558.43, "word": " Mu", "probability": 0.53857421875}, {"start": 2558.43, "end": 2558.85, "word": " smaller", "probability": 0.69287109375}, {"start": 2558.85, "end": 2559.13, "word": " than", "probability": 0.93701171875}, {"start": 2559.13, "end": 2559.37, "word": " Mu.", "probability": 0.81494140625}, {"start": 2561.57, "end": 2562.25, "word": " But", "probability": 0.70263671875}, {"start": 2562.25, "end": 2562.61, "word": " actually,", "probability": 0.8388671875}, {"start": 2562.75, "end": 2562.85, "word": " when", "probability": 0.8984375}, {"start": 2562.85, "end": 2563.13, "word": " we", "probability": 0.94287109375}, {"start": 2563.13, "end": 2565.47, "word": " compute", "probability": 0.90771484375}, {"start": 2565.47, "end": 2565.73, "word": " the", "probability": 0.853515625}, {"start": 2565.73, "end": 2566.07, "word": " critical", "probability": 0.94677734375}, {"start": 2566.07, "end": 2566.57, "word": " value,", "probability": 0.97119140625}, {"start": 2566.71, "end": 2566.89, "word": " here", "probability": 0.80322265625}, {"start": 2566.89, "end": 2567.03, "word": " we", "probability": 0.8515625}, {"start": 2567.03, "end": 2567.29, "word": " look", "probability": 0.89599609375}, {"start": 2567.29, "end": 2567.87, "word": " only", "probability": 0.9150390625}, {"start": 2567.87, "end": 2568.35, "word": " at", "probability": 0.96240234375}, {"start": 2568.35, "end": 2569.43, "word": " the", "probability": 0.8291015625}, {"start": 2569.43, "end": 2569.79, "word": " alternate", "probability": 0.8291015625}, {"start": 2569.79, "end": 2570.35, "word": " hypothesis.", "probability": 0.82568359375}], "temperature": 1.0}, {"id": 93, "seek": 259853, "start": 2571.83, "end": 2598.53, "text": " So your critical value depends on the sign under the alternative hypothesis, your decision also based on the sign of the alternative hypothesis. So always just look at the sign under the alternative hypothesis and ignore totally the sign under H0. 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Is it clear? The conclusion, since we are rejecting the null hypothesis, that means there is sufficient evidence to support the alternative hypothesis. That's number one. That means", "tokens": [321, 8248, 46675, 29588, 5044, 813, 309, 1487, 490, 341, 5629, 300, 307, 21601, 33, 307, 3673, 383, 13, 1119, 309, 1850, 30, 440, 10063, 11, 1670, 321, 366, 45401, 264, 18184, 17291, 11, 300, 1355, 456, 307, 11563, 4467, 281, 1406, 264, 8535, 17291, 13, 663, 311, 1230, 472, 13, 663, 1355], "avg_logprob": -0.263599529310509, "compression_ratio": 1.4728260869565217, "no_speech_prob": 0.0, "words": [{"start": 2600.96, "end": 2601.24, "word": " we", "probability": 0.33837890625}, {"start": 2601.24, "end": 2601.64, "word": " reject", "probability": 0.8798828125}, {"start": 2601.64, "end": 2601.88, "word": " FT", "probability": 0.472900390625}, {"start": 2601.88, "end": 2602.42, "word": " statistic", "probability": 0.5107421875}, {"start": 2602.42, "end": 2603.62, "word": " greater", "probability": 0.59228515625}, {"start": 2603.62, "end": 2604.12, "word": " than", "probability": 0.9482421875}, {"start": 2604.12, "end": 2604.86, "word": " it", "probability": 0.50830078125}, {"start": 2604.86, "end": 2605.68, "word": " comes", "probability": 0.77197265625}, {"start": 2605.68, "end": 2606.1, "word": " from", "probability": 0.8896484375}, {"start": 2606.1, "end": 2606.52, "word": " this", "probability": 0.92626953125}, {"start": 2606.52, "end": 2607.5, "word": " statement", "probability": 0.90478515625}, {"start": 2607.5, "end": 2607.86, "word": " that", "probability": 0.78076171875}, {"start": 2607.86, "end": 2608.24, "word": " is", "probability": 0.658203125}, {"start": 2608.24, "end": 2609.08, "word": " MLB", "probability": 0.58203125}, {"start": 2609.08, "end": 2609.28, "word": " is", "probability": 0.75927734375}, {"start": 2609.28, "end": 2609.52, "word": " above", "probability": 0.89404296875}, {"start": 2609.52, "end": 2609.78, "word": " C.", "probability": 0.37109375}, {"start": 2610.82, "end": 2611.08, "word": " Is", "probability": 0.8662109375}, {"start": 2611.08, "end": 2611.22, "word": " it", "probability": 0.93017578125}, {"start": 2611.22, "end": 2611.52, "word": " clear?", "probability": 0.890625}, {"start": 2613.4, "end": 2613.56, "word": " The", "probability": 0.2103271484375}, {"start": 2613.56, "end": 2616.82, "word": " conclusion,", "probability": 0.90625}, {"start": 2617.06, "end": 2617.34, "word": " since", "probability": 0.8505859375}, {"start": 2617.34, "end": 2617.6, "word": " we", "probability": 0.95751953125}, {"start": 2617.6, "end": 2617.76, "word": " are", "probability": 0.935546875}, {"start": 2617.76, "end": 2618.24, "word": " rejecting", "probability": 0.91357421875}, {"start": 2618.24, "end": 2618.48, "word": " the", "probability": 0.8994140625}, {"start": 2618.48, "end": 2618.62, "word": " null", "probability": 0.94140625}, {"start": 2618.62, "end": 2619.12, "word": " hypothesis,", "probability": 0.822265625}, {"start": 2620.32, "end": 2620.6, "word": " that", "probability": 0.9326171875}, {"start": 2620.6, "end": 2620.9, "word": " means", "probability": 0.93408203125}, {"start": 2620.9, "end": 2621.16, "word": " there", "probability": 0.87353515625}, {"start": 2621.16, "end": 2621.46, "word": " is", "probability": 0.92724609375}, {"start": 2621.46, "end": 2622.34, "word": " sufficient", "probability": 0.7880859375}, {"start": 2622.34, "end": 2622.92, "word": " evidence", "probability": 0.955078125}, {"start": 2622.92, "end": 2623.12, "word": " to", "probability": 0.90087890625}, {"start": 2623.12, "end": 2623.52, "word": " support", "probability": 0.99462890625}, {"start": 2623.52, "end": 2623.7, "word": " the", "probability": 0.8154296875}, {"start": 2623.7, "end": 2624.12, "word": " alternative", "probability": 0.9345703125}, {"start": 2624.12, "end": 2624.64, "word": " hypothesis.", "probability": 0.85693359375}, {"start": 2625.26, "end": 2625.9, "word": " That's", "probability": 0.919677734375}, {"start": 2625.9, "end": 2626.08, "word": " number", "probability": 0.9169921875}, {"start": 2626.08, "end": 2626.36, "word": " one.", "probability": 0.86962890625}, {"start": 2626.92, "end": 2627.3, "word": " That", "probability": 0.8955078125}, {"start": 2627.3, "end": 2627.64, "word": " means", "probability": 0.9326171875}], "temperature": 1.0}, {"id": 95, "seek": 265850, "start": 2629.26, "end": 2658.5, "text": " The score exam after taking the preparation course is greater than the score exam before taking the preparation course. That means the business school preparation course does improve exam score. That's the main conclusion for this specific example. So far we have discussed two population means.", "tokens": [440, 6175, 1139, 934, 1940, 264, 13081, 1164, 307, 5044, 813, 264, 6175, 1139, 949, 1940, 264, 13081, 1164, 13, 663, 1355, 264, 1606, 1395, 13081, 1164, 775, 3470, 1139, 6175, 13, 663, 311, 264, 2135, 10063, 337, 341, 2685, 1365, 13, 407, 1400, 321, 362, 7152, 732, 4415, 1355, 13], "avg_logprob": -0.12056791037321091, "compression_ratio": 1.793939393939394, "no_speech_prob": 0.0, "words": [{"start": 2629.26, "end": 2629.5, "word": " The", "probability": 0.72705078125}, {"start": 2629.5, "end": 2629.72, "word": " score", "probability": 0.78271484375}, {"start": 2629.72, "end": 2630.1, "word": " exam", "probability": 0.9384765625}, {"start": 2630.1, "end": 2630.68, "word": " after", "probability": 0.802734375}, {"start": 2630.68, "end": 2631.16, "word": " taking", "probability": 0.9169921875}, {"start": 2631.16, "end": 2631.36, "word": " the", "probability": 0.8662109375}, {"start": 2631.36, "end": 2631.62, "word": " preparation", "probability": 0.92724609375}, {"start": 2631.62, "end": 2632.38, "word": " course", "probability": 0.96435546875}, {"start": 2632.38, "end": 2633.7, "word": " is", "probability": 0.89501953125}, {"start": 2633.7, "end": 2634.12, "word": " greater", "probability": 0.90673828125}, {"start": 2634.12, "end": 2634.64, "word": " than", "probability": 0.9423828125}, {"start": 2634.64, "end": 2635.02, "word": " the", "probability": 0.90234375}, {"start": 2635.02, "end": 2635.24, "word": " score", "probability": 0.8525390625}, {"start": 2635.24, "end": 2635.56, "word": " exam", "probability": 0.9697265625}, {"start": 2635.56, "end": 2635.94, "word": " before", "probability": 0.8505859375}, {"start": 2635.94, "end": 2636.38, "word": " taking", "probability": 0.9140625}, {"start": 2636.38, "end": 2636.58, "word": " the", "probability": 0.90625}, {"start": 2636.58, "end": 2636.9, "word": " preparation", "probability": 0.947265625}, {"start": 2636.9, "end": 2637.46, "word": " course.", "probability": 0.9619140625}, {"start": 2638.38, "end": 2638.7, "word": " That", "probability": 0.9033203125}, {"start": 2638.7, "end": 2639.06, "word": " means", "probability": 0.9248046875}, {"start": 2639.06, "end": 2640.14, "word": " the", "probability": 0.81884765625}, {"start": 2640.14, "end": 2640.5, "word": " business", "probability": 0.89892578125}, {"start": 2640.5, "end": 2640.92, "word": " school", "probability": 0.9404296875}, {"start": 2640.92, "end": 2641.34, "word": " preparation", "probability": 0.94921875}, {"start": 2641.34, "end": 2642.0, "word": " course", "probability": 0.97021484375}, {"start": 2642.0, "end": 2642.38, "word": " does", "probability": 0.9736328125}, {"start": 2642.38, "end": 2643.0, "word": " improve", "probability": 0.85888671875}, {"start": 2643.0, "end": 2644.88, "word": " exam", "probability": 0.86181640625}, {"start": 2644.88, "end": 2645.24, "word": " score.", "probability": 0.80126953125}, {"start": 2647.56, "end": 2648.14, "word": " That's", "probability": 0.90380859375}, {"start": 2648.14, "end": 2648.56, "word": " the", "probability": 0.92041015625}, {"start": 2648.56, "end": 2649.38, "word": " main", "probability": 0.9228515625}, {"start": 2649.38, "end": 2649.94, "word": " conclusion", "probability": 0.9052734375}, {"start": 2649.94, "end": 2650.42, "word": " for", "probability": 0.78369140625}, {"start": 2650.42, "end": 2650.82, "word": " this", "probability": 0.94580078125}, {"start": 2650.82, "end": 2651.78, "word": " specific", "probability": 0.91748046875}, {"start": 2651.78, "end": 2652.9, "word": " example.", "probability": 0.943359375}, {"start": 2654.52, "end": 2654.84, "word": " So", "probability": 0.92626953125}, {"start": 2654.84, "end": 2655.34, "word": " far", "probability": 0.68115234375}, {"start": 2655.34, "end": 2655.58, "word": " we", "probability": 0.50537109375}, {"start": 2655.58, "end": 2655.88, "word": " have", "probability": 0.94140625}, {"start": 2655.88, "end": 2656.78, "word": " discussed", "probability": 0.8876953125}, {"start": 2656.78, "end": 2657.64, "word": " two", "probability": 0.9169921875}, {"start": 2657.64, "end": 2658.06, "word": " population", "probability": 0.88818359375}, {"start": 2658.06, "end": 2658.5, "word": " means.", "probability": 0.935546875}], "temperature": 1.0}, {"id": 96, "seek": 268817, "start": 2659.63, "end": 2688.17, "text": " for independent samples and for related samples. One is missing in order to complete the story about hypothesis testing, which is tests for two population proportions. That means suppose you have two populations where population proportions are pi 1 and pi 2, and our goal is to test", "tokens": [337, 6695, 10938, 293, 337, 4077, 10938, 13, 1485, 307, 5361, 294, 1668, 281, 3566, 264, 1657, 466, 17291, 4997, 11, 597, 307, 6921, 337, 732, 4415, 32482, 13, 663, 1355, 7297, 291, 362, 732, 12822, 689, 4415, 32482, 366, 3895, 502, 293, 3895, 568, 11, 293, 527, 3387, 307, 281, 1500], "avg_logprob": -0.23643867474681926, "compression_ratio": 1.6904761904761905, "no_speech_prob": 0.0, "words": [{"start": 2659.63, "end": 2659.91, "word": " for", "probability": 0.48388671875}, {"start": 2659.91, "end": 2660.39, "word": " independent", "probability": 0.87109375}, {"start": 2660.39, "end": 2660.91, "word": " samples", "probability": 0.80810546875}, {"start": 2660.91, "end": 2662.03, "word": " and", "probability": 0.67333984375}, {"start": 2662.03, "end": 2662.45, "word": " for", "probability": 0.9384765625}, {"start": 2662.45, "end": 2663.07, "word": " related", "probability": 0.947265625}, {"start": 2663.07, "end": 2663.67, "word": " samples.", "probability": 0.8759765625}, {"start": 2664.57, "end": 2664.99, "word": " One", "probability": 0.82470703125}, {"start": 2664.99, "end": 2665.19, "word": " is", "probability": 0.93701171875}, {"start": 2665.19, "end": 2665.65, "word": " missing", "probability": 0.88330078125}, {"start": 2665.65, "end": 2668.05, "word": " in", "probability": 0.2322998046875}, {"start": 2668.05, "end": 2668.51, "word": " order", "probability": 0.9267578125}, {"start": 2668.51, "end": 2668.63, "word": " to", "probability": 0.96533203125}, {"start": 2668.63, "end": 2668.93, "word": " complete", "probability": 0.79052734375}, {"start": 2668.93, "end": 2669.19, "word": " the", "probability": 0.75146484375}, {"start": 2669.19, "end": 2669.49, "word": " story", "probability": 0.93798828125}, {"start": 2669.49, "end": 2669.91, "word": " about", "probability": 0.900390625}, {"start": 2669.91, "end": 2670.97, "word": " hypothesis", "probability": 0.912109375}, {"start": 2670.97, "end": 2671.37, "word": " testing,", "probability": 0.81884765625}, {"start": 2671.51, "end": 2671.63, "word": " which", "probability": 0.9501953125}, {"start": 2671.63, "end": 2671.99, "word": " is", "probability": 0.93701171875}, {"start": 2671.99, "end": 2673.39, "word": " tests", "probability": 0.3662109375}, {"start": 2673.39, "end": 2673.89, "word": " for", "probability": 0.94921875}, {"start": 2673.89, "end": 2674.27, "word": " two", "probability": 0.923828125}, {"start": 2674.27, "end": 2674.79, "word": " population", "probability": 0.837890625}, {"start": 2674.79, "end": 2675.37, "word": " proportions.", "probability": 0.85791015625}, {"start": 2676.69, "end": 2677.01, "word": " That", "probability": 0.5341796875}, {"start": 2677.01, "end": 2677.21, "word": " means", "probability": 0.8876953125}, {"start": 2677.21, "end": 2677.53, "word": " suppose", "probability": 0.712890625}, {"start": 2677.53, "end": 2678.25, "word": " you", "probability": 0.94873046875}, {"start": 2678.25, "end": 2678.45, "word": " have", "probability": 0.94775390625}, {"start": 2678.45, "end": 2678.63, "word": " two", "probability": 0.921875}, {"start": 2678.63, "end": 2679.15, "word": " populations", "probability": 0.9423828125}, {"start": 2679.15, "end": 2681.47, "word": " where", "probability": 0.28173828125}, {"start": 2681.47, "end": 2682.75, "word": " population", "probability": 0.91650390625}, {"start": 2682.75, "end": 2683.31, "word": " proportions", "probability": 0.84716796875}, {"start": 2683.31, "end": 2683.83, "word": " are", "probability": 0.95068359375}, {"start": 2683.83, "end": 2684.11, "word": " pi", "probability": 0.51220703125}, {"start": 2684.11, "end": 2684.39, "word": " 1", "probability": 0.5498046875}, {"start": 2684.39, "end": 2684.65, "word": " and", "probability": 0.9443359375}, {"start": 2684.65, "end": 2684.81, "word": " pi", "probability": 0.9423828125}, {"start": 2684.81, "end": 2685.13, "word": " 2,", "probability": 0.9970703125}, {"start": 2685.61, "end": 2685.89, "word": " and", "probability": 0.93603515625}, {"start": 2685.89, "end": 2686.27, "word": " our", "probability": 0.89306640625}, {"start": 2686.27, "end": 2687.33, "word": " goal", "probability": 0.97900390625}, {"start": 2687.33, "end": 2687.61, "word": " is", "probability": 0.9453125}, {"start": 2687.61, "end": 2687.79, "word": " to", "probability": 0.95947265625}, {"start": 2687.79, "end": 2688.17, "word": " test", "probability": 0.8876953125}], "temperature": 1.0}, {"id": 97, "seek": 270808, "start": 2689.92, "end": 2708.08, "text": " a hypothesis or form a confidence interval for the difference between two population proportion. So here we are interested in the difference between pi 1 and pi 2. So we are interested in pi 1 minus pi 2. 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So these two conditions or two assumptions should be satisfied in order to use the Z statistic in this case. The point estimate, if you remember, if we have only one population, P was first. 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So that means P1 minus P2 is a point estimate for the difference Pi 1 minus Pi 2. Also P2 minus P1 is a point estimate of Pi 2 minus Pi 1. So this is step number one. 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Now B dash equals. 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That's if we have only one sample. 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So B dash is for overall proportion is given by X1 plus X2 divided by N1 plus N2.", "tokens": [407, 7297, 1783, 16, 293, 1783, 17, 366, 264, 1230, 295, 3260, 279, 294, 264, 732, 10938, 25009, 11, 550, 3217, 1230, 307, 2212, 538, 1783, 16, 1804, 1783, 17, 6666, 538, 264, 6889, 11602, 11, 426, 16, 1804, 426, 17, 13, 407, 363, 8240, 307, 337, 4787, 16068, 307, 2212, 538, 1783, 16, 1804, 1783, 17, 6666, 538, 426, 16, 1804, 426, 17, 13], "avg_logprob": -0.14796402192477023, "compression_ratio": 1.6133333333333333, "no_speech_prob": 0.0, "words": [{"start": 2839.82, "end": 2840.08, "word": " So", "probability": 0.916015625}, {"start": 2840.08, "end": 2840.48, "word": " suppose", "probability": 0.80322265625}, {"start": 2840.48, "end": 2841.0, "word": " X1", "probability": 0.701416015625}, {"start": 2841.0, "end": 2842.22, "word": " and", "probability": 0.93408203125}, {"start": 2842.22, "end": 2842.66, "word": " X2", "probability": 0.994140625}, {"start": 2842.66, "end": 2842.92, "word": " are", "probability": 0.93359375}, {"start": 2842.92, "end": 2843.18, "word": " the", "probability": 0.916015625}, {"start": 2843.18, "end": 2843.72, "word": " number", "probability": 0.93359375}, {"start": 2843.72, "end": 2843.9, "word": " of", "probability": 0.97412109375}, {"start": 2843.9, "end": 2844.38, "word": " sexes", "probability": 0.752197265625}, {"start": 2844.38, "end": 2844.52, "word": " in", "probability": 0.9091796875}, {"start": 2844.52, "end": 2844.66, "word": " the", "probability": 0.91552734375}, {"start": 2844.66, "end": 2844.84, "word": " two", "probability": 0.9306640625}, {"start": 2844.84, "end": 2845.32, "word": " samples", "probability": 0.85498046875}, {"start": 2845.32, "end": 2846.08, "word": " respectively,", "probability": 0.80859375}, {"start": 2846.54, "end": 2847.02, "word": " then", "probability": 0.82666015625}, {"start": 2847.02, "end": 2847.46, "word": " total", "probability": 0.767578125}, {"start": 2847.46, "end": 2847.88, "word": " number", "probability": 0.93994140625}, {"start": 2847.88, "end": 2848.2, "word": " is", "probability": 0.95166015625}, {"start": 2848.2, "end": 2848.46, "word": " given", "probability": 0.9072265625}, {"start": 2848.46, "end": 2848.7, "word": " by", "probability": 0.9677734375}, {"start": 2848.7, "end": 2849.1, "word": " X1", "probability": 0.979736328125}, {"start": 2849.1, "end": 2849.38, "word": " plus", "probability": 0.861328125}, {"start": 2849.38, "end": 2849.86, "word": " X2", "probability": 0.99755859375}, {"start": 2849.86, "end": 2850.88, "word": " divided", "probability": 0.444580078125}, {"start": 2850.88, "end": 2851.26, "word": " by", "probability": 0.970703125}, {"start": 2851.26, "end": 2851.6, "word": " the", "probability": 0.794921875}, {"start": 2851.6, "end": 2852.64, "word": " sample", "probability": 0.865234375}, {"start": 2852.64, "end": 2853.3, "word": " sizes,", "probability": 0.888671875}, {"start": 2853.9, "end": 2854.14, "word": " N1", "probability": 0.879638671875}, {"start": 2854.14, "end": 2854.44, "word": " plus", "probability": 0.94482421875}, {"start": 2854.44, "end": 2854.86, "word": " N2.", "probability": 0.998046875}, {"start": 2855.34, "end": 2855.56, "word": " So", "probability": 0.9677734375}, {"start": 2855.56, "end": 2855.8, "word": " B", "probability": 0.70849609375}, {"start": 2855.8, "end": 2856.1, "word": " dash", "probability": 0.61328125}, {"start": 2856.1, "end": 2856.3, "word": " is", "probability": 0.87109375}, {"start": 2856.3, "end": 2856.62, "word": " for", "probability": 0.509765625}, {"start": 2856.62, "end": 2858.34, "word": " overall", "probability": 0.79150390625}, {"start": 2858.34, "end": 2859.3, "word": " proportion", "probability": 0.818359375}, {"start": 2859.3, "end": 2859.94, "word": " is", "probability": 0.5908203125}, {"start": 2859.94, "end": 2860.12, "word": " given", "probability": 0.908203125}, {"start": 2860.12, "end": 2860.34, "word": " by", "probability": 0.97021484375}, {"start": 2860.34, "end": 2860.88, "word": " X1", "probability": 0.99365234375}, {"start": 2860.88, "end": 2863.0, "word": " plus", "probability": 0.93603515625}, {"start": 2863.0, "end": 2863.58, "word": " X2", "probability": 0.9970703125}, {"start": 2863.58, "end": 2864.2, "word": " divided", "probability": 0.75439453125}, {"start": 2864.2, "end": 2864.6, "word": " by", "probability": 0.966796875}, {"start": 2864.6, "end": 2865.02, "word": " N1", "probability": 0.995849609375}, {"start": 2865.02, "end": 2865.32, "word": " plus", "probability": 0.9638671875}, {"start": 2865.32, "end": 2865.76, "word": " N2.", "probability": 0.999267578125}], "temperature": 1.0}, {"id": 104, "seek": 289099, "start": 2866.35, "end": 2890.99, "text": " This one is called the bold estimate for the overall proportion. Now, what's about the z-statistic? In order to compute the z-statistic, we have to know the standard error of the estimate. Now, the standard error of the estimate is given by this equation,", "tokens": [639, 472, 307, 1219, 264, 11928, 12539, 337, 264, 4787, 16068, 13, 823, 11, 437, 311, 466, 264, 710, 12, 19435, 3142, 30, 682, 1668, 281, 14722, 264, 710, 12, 19435, 3142, 11, 321, 362, 281, 458, 264, 3832, 6713, 295, 264, 12539, 13, 823, 11, 264, 3832, 6713, 295, 264, 12539, 307, 2212, 538, 341, 5367, 11], "avg_logprob": -0.2031250050512411, "compression_ratio": 1.641025641025641, "no_speech_prob": 0.0, "words": [{"start": 2866.35, "end": 2866.73, "word": " This", "probability": 0.65771484375}, {"start": 2866.73, "end": 2866.95, "word": " one", "probability": 0.85888671875}, {"start": 2866.95, "end": 2867.11, "word": " is", "probability": 0.77587890625}, {"start": 2867.11, "end": 2867.53, "word": " called", "probability": 0.8798828125}, {"start": 2867.53, "end": 2868.47, "word": " the", "probability": 0.7138671875}, {"start": 2868.47, "end": 2868.77, "word": " bold", "probability": 0.29736328125}, {"start": 2868.77, "end": 2869.31, "word": " estimate", "probability": 0.89404296875}, {"start": 2869.31, "end": 2870.45, "word": " for", "probability": 0.84375}, {"start": 2870.45, "end": 2870.69, "word": " the", "probability": 0.89697265625}, {"start": 2870.69, "end": 2871.15, "word": " overall", "probability": 0.8291015625}, {"start": 2871.15, "end": 2872.13, "word": " proportion.", "probability": 0.76904296875}, {"start": 2876.09, "end": 2876.61, "word": " Now,", "probability": 0.90576171875}, {"start": 2876.71, "end": 2876.91, "word": " what's", "probability": 0.84423828125}, {"start": 2876.91, "end": 2877.17, "word": " about", "probability": 0.91552734375}, {"start": 2877.17, "end": 2877.35, "word": " the", "probability": 0.80419921875}, {"start": 2877.35, "end": 2877.49, "word": " z", "probability": 0.517578125}, {"start": 2877.49, "end": 2877.97, "word": "-statistic?", "probability": 0.8072916666666666}, {"start": 2878.73, "end": 2879.25, "word": " In", "probability": 0.93896484375}, {"start": 2879.25, "end": 2879.43, "word": " order", "probability": 0.91845703125}, {"start": 2879.43, "end": 2879.61, "word": " to", "probability": 0.97314453125}, {"start": 2879.61, "end": 2879.95, "word": " compute", "probability": 0.90771484375}, {"start": 2879.95, "end": 2880.15, "word": " the", "probability": 0.88037109375}, {"start": 2880.15, "end": 2880.31, "word": " z", "probability": 0.96142578125}, {"start": 2880.31, "end": 2880.85, "word": "-statistic,", "probability": 0.96533203125}, {"start": 2881.03, "end": 2881.13, "word": " we", "probability": 0.93896484375}, {"start": 2881.13, "end": 2881.35, "word": " have", "probability": 0.93017578125}, {"start": 2881.35, "end": 2881.47, "word": " to", "probability": 0.96875}, {"start": 2881.47, "end": 2881.69, "word": " know", "probability": 0.884765625}, {"start": 2881.69, "end": 2882.07, "word": " the", "probability": 0.9150390625}, {"start": 2882.07, "end": 2882.63, "word": " standard", "probability": 0.93505859375}, {"start": 2882.63, "end": 2883.67, "word": " error", "probability": 0.8857421875}, {"start": 2883.67, "end": 2884.11, "word": " of", "probability": 0.96435546875}, {"start": 2884.11, "end": 2884.25, "word": " the", "probability": 0.91796875}, {"start": 2884.25, "end": 2884.67, "word": " estimate.", "probability": 0.8857421875}, {"start": 2887.99, "end": 2888.51, "word": " Now,", "probability": 0.9189453125}, {"start": 2888.57, "end": 2888.69, "word": " the", "probability": 0.91748046875}, {"start": 2888.69, "end": 2888.95, "word": " standard", "probability": 0.94580078125}, {"start": 2888.95, "end": 2889.11, "word": " error", "probability": 0.86474609375}, {"start": 2889.11, "end": 2889.21, "word": " of", "probability": 0.935546875}, {"start": 2889.21, "end": 2889.31, "word": " the", "probability": 0.9150390625}, {"start": 2889.31, "end": 2889.65, "word": " estimate", "probability": 0.9052734375}, {"start": 2889.65, "end": 2889.89, "word": " is", "probability": 0.947265625}, {"start": 2889.89, "end": 2890.09, "word": " given", "probability": 0.888671875}, {"start": 2890.09, "end": 2890.35, "word": " by", "probability": 0.96826171875}, {"start": 2890.35, "end": 2890.55, "word": " this", "probability": 0.406982421875}, {"start": 2890.55, "end": 2890.99, "word": " equation,", "probability": 0.9873046875}], "temperature": 1.0}, {"id": 105, "seek": 291701, "start": 2893.99, "end": 2917.01, "text": " 1-b-1 over n1 plus 1 over n2. So this is called the standard error of the difference. 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And the standard error was S squared B multiplied by 1 over N1 plus 1 over N2. 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So the standard error is b dash 1 minus b dash.", "tokens": [440, 12539, 295, 264, 2649, 11, 597, 307, 272, 16, 3175, 272, 17, 11, 382, 321, 2835, 11, 3175, 264, 14276, 1602, 2158, 11, 597, 307, 3895, 502, 3175, 3895, 568, 11, 881, 295, 264, 565, 6915, 1958, 11, 6666, 538, 264, 3832, 6713, 295, 264, 12539, 295, 341, 5367, 13, 407, 264, 3832, 6713, 307, 272, 8240, 502, 3175, 272, 8240, 13], "avg_logprob": -0.21362305339425802, "compression_ratio": 1.705128205128205, "no_speech_prob": 0.0, "words": [{"start": 2998.99, "end": 2999.21, "word": " The", "probability": 0.50048828125}, {"start": 2999.21, "end": 2999.73, "word": " estimate", "probability": 0.859375}, {"start": 2999.73, "end": 3000.41, "word": " of", "probability": 0.953125}, {"start": 3000.41, "end": 3000.55, "word": " the", "probability": 0.884765625}, {"start": 3000.55, "end": 3001.05, "word": " difference,", "probability": 0.85498046875}, {"start": 3001.23, "end": 3001.41, "word": " which", "probability": 0.95166015625}, {"start": 3001.41, "end": 3001.89, "word": " is", "probability": 0.951171875}, {"start": 3001.89, "end": 3003.07, "word": " b1", "probability": 0.63720703125}, {"start": 3003.07, "end": 3004.45, "word": " minus", "probability": 0.798828125}, {"start": 3004.45, "end": 3004.97, "word": " b2,", "probability": 0.98974609375}, {"start": 3005.09, "end": 3005.29, "word": " as", "probability": 0.900390625}, {"start": 3005.29, "end": 3005.47, "word": " we", "probability": 0.9267578125}, {"start": 3005.47, "end": 3005.83, "word": " mentioned,", "probability": 0.82177734375}, {"start": 3006.29, "end": 3007.23, "word": " minus", "probability": 0.97509765625}, {"start": 3007.23, "end": 3009.25, "word": " the", "probability": 0.85986328125}, {"start": 3009.25, "end": 3009.95, "word": " hypothesized", "probability": 0.60986328125}, {"start": 3009.95, "end": 3010.25, "word": " value,", "probability": 0.96875}, {"start": 3010.37, "end": 3010.49, "word": " which", "probability": 0.96142578125}, {"start": 3010.49, "end": 3010.89, "word": " is", "probability": 0.95458984375}, {"start": 3010.89, "end": 3011.27, "word": " pi", "probability": 0.84033203125}, {"start": 3011.27, "end": 3011.49, "word": " 1", "probability": 0.5498046875}, {"start": 3011.49, "end": 3011.87, "word": " minus", "probability": 0.9853515625}, {"start": 3011.87, "end": 3012.15, "word": " pi", "probability": 0.94873046875}, {"start": 3012.15, "end": 3012.49, "word": " 2,", "probability": 0.98779296875}, {"start": 3012.91, "end": 3013.17, "word": " most", "probability": 0.8515625}, {"start": 3013.17, "end": 3013.29, "word": " of", "probability": 0.9697265625}, {"start": 3013.29, "end": 3013.39, "word": " the", "probability": 0.91796875}, {"start": 3013.39, "end": 3013.59, "word": " time", "probability": 0.87109375}, {"start": 3013.59, "end": 3013.87, "word": " equals", "probability": 0.73681640625}, {"start": 3013.87, "end": 3014.19, "word": " 0,", "probability": 0.417724609375}, {"start": 3014.95, "end": 3015.27, "word": " divided", "probability": 0.7919921875}, {"start": 3015.27, "end": 3015.63, "word": " by", "probability": 0.96875}, {"start": 3015.63, "end": 3016.07, "word": " the", "probability": 0.9228515625}, {"start": 3016.07, "end": 3016.47, "word": " standard", "probability": 0.91943359375}, {"start": 3016.47, "end": 3016.75, "word": " error", "probability": 0.87255859375}, {"start": 3016.75, "end": 3016.91, "word": " of", "probability": 0.953125}, {"start": 3016.91, "end": 3017.03, "word": " the", "probability": 0.919921875}, {"start": 3017.03, "end": 3017.59, "word": " estimate", "probability": 0.90283203125}, {"start": 3017.59, "end": 3018.67, "word": " of", "probability": 0.316650390625}, {"start": 3018.67, "end": 3018.83, "word": " this", "probability": 0.91748046875}, {"start": 3018.83, "end": 3019.27, "word": " equation.", "probability": 0.94580078125}, {"start": 3019.71, "end": 3020.19, "word": " So", "probability": 0.94287109375}, {"start": 3020.19, "end": 3020.41, "word": " the", "probability": 0.8349609375}, {"start": 3020.41, "end": 3020.71, "word": " standard", "probability": 0.93505859375}, {"start": 3020.71, "end": 3020.97, "word": " error", "probability": 0.86181640625}, {"start": 3020.97, "end": 3021.15, "word": " is", "probability": 0.84814453125}, {"start": 3021.15, "end": 3021.31, "word": " b", "probability": 0.8916015625}, {"start": 3021.31, "end": 3021.65, "word": " dash", "probability": 0.8203125}, {"start": 3021.65, "end": 3022.87, "word": " 1", "probability": 0.6435546875}, {"start": 3022.87, "end": 3023.75, "word": " minus", "probability": 0.98388671875}, {"start": 3023.75, "end": 3023.97, "word": " b", "probability": 0.9775390625}, {"start": 3023.97, "end": 3024.33, "word": " dash.", "probability": 0.89306640625}], "temperature": 1.0}, {"id": 110, "seek": 305245, "start": 3028.47, "end": 3052.45, "text": " So let's use this statistic. P1 minus P2 is the point estimate of Pi 1 minus Pi 2 minus the hypothesized value always, or most of the time this equals zero, divided by the square root of this estimate. And the square root of this estimate is given by this equation, which is the square root of P dash. 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So we have B dash times 1 minus B dash times 1 over N1 plus 1 over N2. That's your Z statistic. So that's the new term for testing about the difference between two population proportions. 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This slide actually is the same as the one we had discussed for the difference between two populations, except we replace mus by bis. So here we have mu1 equals mu2 by 2, instead of mu1 equals mu2. 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So I will stop at this example for testing two populations.", "tokens": [407, 300, 311, 439, 337, 965, 13, 407, 286, 486, 1590, 412, 341, 1365, 337, 4997, 732, 12822, 13], "avg_logprob": -0.1283203184604645, "compression_ratio": 1.0759493670886076, "no_speech_prob": 8.219480514526367e-05, "words": [{"start": 3241.57, "end": 3241.87, "word": " So", "probability": 0.84814453125}, {"start": 3241.87, "end": 3242.63, "word": " that's", "probability": 0.923583984375}, {"start": 3242.63, "end": 3243.31, "word": " all", "probability": 0.95263671875}, {"start": 3243.31, "end": 3243.89, "word": " for", "probability": 0.95556640625}, {"start": 3243.89, "end": 3244.17, "word": " today.", "probability": 0.84423828125}, {"start": 3245.03, "end": 3245.21, "word": " So", "probability": 0.86083984375}, {"start": 3245.21, "end": 3245.33, "word": " I", "probability": 0.92529296875}, {"start": 3245.33, "end": 3245.45, "word": " will", "probability": 0.85595703125}, {"start": 3245.45, "end": 3245.81, "word": " stop", "probability": 0.92431640625}, {"start": 3245.81, "end": 3246.27, "word": " at", "probability": 0.95263671875}, {"start": 3246.27, "end": 3246.69, "word": " this", "probability": 0.94970703125}, {"start": 3246.69, "end": 3247.77, "word": " example", "probability": 0.97705078125}, {"start": 3247.77, "end": 3248.07, "word": " for", "probability": 0.92724609375}, {"start": 3248.07, "end": 3248.55, "word": " testing", "probability": 0.890625}, {"start": 3248.55, "end": 3248.87, "word": " two", "probability": 0.90966796875}, {"start": 3248.87, "end": 3249.41, "word": " populations.", "probability": 0.6015625}], "temperature": 1.0}], "language": "en", "language_probability": 1.0, "duration": 3252.094, "duration_after_vad": 3082.3790937499875} \ No newline at end of file diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/vMG3PxD5dOI_raw.json b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/vMG3PxD5dOI_raw.json new file mode 100644 index 0000000000000000000000000000000000000000..39429ba630b3b0c8092740772f2586506b10519d --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/vMG3PxD5dOI_raw.json @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 3669, "start": 9.09, "end": 36.69, "text": " Oh, Mohamed, you're ready? You're here? Inshallah, today we'll talk about measures of variation. And as we mentioned last time, there are four measures of variation. And we talked about range, or the range. 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The range is the difference between the largest and the smallest. For a specific example, if we have this dataset, one, two, three, up to 13, then the range is going to be 13 minus one, which is 12. 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I mean, the range can give misleading results if the data set has outliers. 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The smallest is seven, so that will give five. So both have the same range, but the variability in data A and data B are completely different. 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So the range is going to be 119. Now, if you compare the range for data number one and the other one, 4 is nothing comparing to 119. 119 is a big number. So both data sets have minimum values here, 1 out of 5. 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These two measures are sensitive to outliers. I mean, outliers affect the range as well as the mean. Now let's move to the new measure of variation, which is the most commonly used measure in statistics as a measure of variation, which is called the variance.", "tokens": [400, 264, 3613, 13, 1981, 732, 8000, 366, 9477, 281, 484, 23646, 13, 286, 914, 11, 484, 23646, 3345, 264, 3613, 382, 731, 382, 264, 914, 13, 823, 718, 311, 1286, 281, 264, 777, 3481, 295, 12990, 11, 597, 307, 264, 881, 12719, 1143, 3481, 294, 12523, 382, 257, 3481, 295, 12990, 11, 597, 307, 1219, 264, 21977, 13], "avg_logprob": -0.15078125322858493, "compression_ratio": 1.729559748427673, "no_speech_prob": 0.0, "words": [{"start": 243.2, "end": 243.6, "word": " And", "probability": 0.413818359375}, {"start": 243.6, "end": 243.86, "word": " the", "probability": 0.8505859375}, {"start": 243.86, "end": 244.26, "word": " range.", "probability": 0.88427734375}, {"start": 244.84, "end": 245.04, "word": " These", "probability": 0.9130859375}, {"start": 245.04, "end": 245.24, "word": " two", "probability": 0.9296875}, {"start": 245.24, "end": 245.6, "word": " measures", "probability": 0.837890625}, {"start": 245.6, "end": 246.46, "word": " are", "probability": 0.8818359375}, {"start": 246.46, "end": 247.02, "word": " sensitive", "probability": 0.90625}, {"start": 247.02, "end": 247.56, "word": " to", "probability": 0.9580078125}, {"start": 247.56, "end": 248.12, "word": " outliers.", "probability": 0.883544921875}, {"start": 248.32, "end": 248.36, "word": " I", "probability": 0.85595703125}, {"start": 248.36, "end": 248.58, "word": " mean,", "probability": 0.966796875}, {"start": 249.18, "end": 249.72, "word": " outliers", "probability": 0.958251953125}, {"start": 249.72, "end": 250.64, "word": " affect", "probability": 0.87841796875}, {"start": 250.64, "end": 251.38, "word": " the", "probability": 0.61474609375}, {"start": 251.38, "end": 252.3, "word": " range", "probability": 0.8984375}, {"start": 252.3, "end": 252.96, "word": " as", "probability": 0.7744140625}, {"start": 252.96, "end": 253.14, "word": " well", "probability": 0.92529296875}, {"start": 253.14, "end": 253.42, "word": " as", "probability": 0.9619140625}, {"start": 253.42, "end": 253.58, "word": " the", "probability": 0.89453125}, {"start": 253.58, "end": 253.94, "word": " mean.", "probability": 0.599609375}, {"start": 254.28, "end": 254.72, "word": " Now", "probability": 0.8974609375}, {"start": 254.72, "end": 255.0, "word": " let's", "probability": 0.837646484375}, {"start": 255.0, "end": 255.38, "word": " move", "probability": 0.94287109375}, {"start": 255.38, "end": 256.28, "word": " to", "probability": 0.95947265625}, {"start": 256.28, "end": 256.44, "word": " the", "probability": 0.9111328125}, {"start": 256.44, "end": 256.74, "word": " new", "probability": 0.92724609375}, {"start": 256.74, "end": 257.26, "word": " measure", "probability": 0.83544921875}, {"start": 257.26, "end": 257.46, "word": " of", "probability": 0.96337890625}, {"start": 257.46, "end": 257.84, "word": " variation,", "probability": 0.9033203125}, {"start": 258.6, "end": 259.12, "word": " which", "probability": 0.94580078125}, {"start": 259.12, "end": 259.3, "word": " is", "probability": 0.943359375}, {"start": 259.3, "end": 259.66, "word": " the", "probability": 0.91357421875}, {"start": 259.66, "end": 260.3, "word": " most", "probability": 0.91748046875}, {"start": 260.3, "end": 260.76, "word": " commonly", "probability": 0.83154296875}, {"start": 260.76, "end": 261.14, "word": " used", "probability": 0.90380859375}, {"start": 261.14, "end": 261.42, "word": " measure", "probability": 0.80078125}, {"start": 261.42, "end": 261.56, "word": " in", "probability": 0.89892578125}, {"start": 261.56, "end": 262.1, "word": " statistics", "probability": 0.88232421875}, {"start": 262.1, "end": 262.66, "word": " as", "probability": 0.82666015625}, {"start": 262.66, "end": 262.78, "word": " a", "probability": 0.98876953125}, {"start": 262.78, "end": 262.94, "word": " measure", "probability": 0.88037109375}, {"start": 262.94, "end": 263.12, "word": " of", "probability": 0.9599609375}, {"start": 263.12, "end": 263.48, "word": " variation,", "probability": 0.904296875}, {"start": 264.28, "end": 264.5, "word": " which", "probability": 0.94873046875}, {"start": 264.5, "end": 264.7, "word": " is", "probability": 0.94482421875}, {"start": 264.7, "end": 265.1, "word": " called", "probability": 0.8935546875}, {"start": 265.1, "end": 266.36, "word": " the", "probability": 0.87890625}, {"start": 266.36, "end": 267.4, "word": " variance.", "probability": 0.880859375}], "temperature": 1.0}, {"id": 12, "seek": 28587, "start": 270.03, "end": 285.87, "text": " By the way, all the formulas in this class will be given in the exam. I mean, you don't have to memorize any formula for this course. So this is the first one. We have the variance.", "tokens": [3146, 264, 636, 11, 439, 264, 30546, 294, 341, 1508, 486, 312, 2212, 294, 264, 1139, 13, 286, 914, 11, 291, 500, 380, 362, 281, 27478, 604, 8513, 337, 341, 1164, 13, 407, 341, 307, 264, 700, 472, 13, 492, 362, 264, 21977, 13], "avg_logprob": -0.13828124470180936, "compression_ratio": 1.4, "no_speech_prob": 0.0, "words": [{"start": 270.03, "end": 270.35, "word": " By", "probability": 0.8486328125}, {"start": 270.35, "end": 270.45, "word": " the", "probability": 0.92724609375}, {"start": 270.45, "end": 270.65, "word": " way,", "probability": 0.96240234375}, {"start": 270.99, "end": 271.21, "word": " all", "probability": 0.9384765625}, {"start": 271.21, "end": 271.41, "word": " the", "probability": 0.7724609375}, {"start": 271.41, "end": 271.87, "word": " formulas", "probability": 0.95556640625}, {"start": 271.87, "end": 272.87, "word": " in", "probability": 0.84716796875}, {"start": 272.87, "end": 273.07, "word": " this", "probability": 0.94189453125}, {"start": 273.07, "end": 273.51, "word": " class", "probability": 0.96923828125}, {"start": 273.51, "end": 273.73, "word": " will", "probability": 0.85791015625}, {"start": 273.73, "end": 273.87, "word": " be", "probability": 0.9541015625}, {"start": 273.87, "end": 274.23, "word": " given", "probability": 0.8447265625}, {"start": 274.23, "end": 275.57, "word": " in", "probability": 0.9306640625}, {"start": 275.57, "end": 275.71, "word": " the", "probability": 0.92041015625}, {"start": 275.71, "end": 276.01, "word": " exam.", "probability": 0.9501953125}, {"start": 276.19, "end": 276.31, "word": " I", "probability": 0.87353515625}, {"start": 276.31, "end": 276.49, "word": " mean,", "probability": 0.96484375}, {"start": 276.53, "end": 276.67, "word": " you", "probability": 0.95947265625}, {"start": 276.67, "end": 276.95, "word": " don't", "probability": 0.95849609375}, {"start": 276.95, "end": 277.33, "word": " have", "probability": 0.951171875}, {"start": 277.33, "end": 277.75, "word": " to", "probability": 0.9716796875}, {"start": 277.75, "end": 278.43, "word": " memorize", "probability": 0.8740234375}, {"start": 278.43, "end": 279.05, "word": " any", "probability": 0.9072265625}, {"start": 279.05, "end": 279.55, "word": " formula", "probability": 0.88525390625}, {"start": 279.55, "end": 280.35, "word": " for", "probability": 0.92919921875}, {"start": 280.35, "end": 280.55, "word": " this", "probability": 0.63671875}, {"start": 280.55, "end": 280.93, "word": " course.", "probability": 0.9658203125}, {"start": 282.65, "end": 283.15, "word": " So", "probability": 0.86865234375}, {"start": 283.15, "end": 283.43, "word": " this", "probability": 0.458740234375}, {"start": 283.43, "end": 283.59, "word": " is", "probability": 0.93505859375}, {"start": 283.59, "end": 283.75, "word": " the", "probability": 0.88232421875}, {"start": 283.75, "end": 284.35, "word": " first", "probability": 0.8251953125}, {"start": 284.35, "end": 284.67, "word": " one.", "probability": 0.927734375}, {"start": 284.79, "end": 284.99, "word": " We", "probability": 0.95263671875}, {"start": 284.99, "end": 285.25, "word": " have", "probability": 0.9462890625}, {"start": 285.25, "end": 285.45, "word": " the", "probability": 0.91015625}, {"start": 285.45, "end": 285.87, "word": " variance.", "probability": 0.73876953125}], "temperature": 1.0}, {"id": 13, "seek": 30958, "start": 287.13, "end": 309.59, "text": " Because later on we will have complicated formulas, so you don't need to memorize any of these. So both of them, all of them was given in a formula sheet. Now, the variance, if you look at this formula, and let's see how can we define the variance based on this notation.", "tokens": [1436, 1780, 322, 321, 486, 362, 6179, 30546, 11, 370, 291, 500, 380, 643, 281, 27478, 604, 295, 613, 13, 407, 1293, 295, 552, 11, 439, 295, 552, 390, 2212, 294, 257, 8513, 8193, 13, 823, 11, 264, 21977, 11, 498, 291, 574, 412, 341, 8513, 11, 293, 718, 311, 536, 577, 393, 321, 6964, 264, 21977, 2361, 322, 341, 24657, 13], "avg_logprob": -0.15376984126984128, "compression_ratio": 1.5280898876404494, "no_speech_prob": 0.0, "words": [{"start": 287.13, "end": 287.43, "word": " Because", "probability": 0.75634765625}, {"start": 287.43, "end": 287.73, "word": " later", "probability": 0.9208984375}, {"start": 287.73, "end": 287.95, "word": " on", "probability": 0.943359375}, {"start": 287.95, "end": 288.11, "word": " we", "probability": 0.61328125}, {"start": 288.11, "end": 288.25, "word": " will", "probability": 0.80810546875}, {"start": 288.25, "end": 288.51, "word": " have", "probability": 0.94482421875}, {"start": 288.51, "end": 289.11, "word": " complicated", "probability": 0.87451171875}, {"start": 289.11, "end": 289.77, "word": " formulas,", "probability": 0.94384765625}, {"start": 289.99, "end": 290.09, "word": " so", "probability": 0.93115234375}, {"start": 290.09, "end": 290.23, "word": " you", "probability": 0.947265625}, {"start": 290.23, "end": 290.47, "word": " don't", "probability": 0.965087890625}, {"start": 290.47, "end": 290.71, "word": " need", "probability": 0.93017578125}, {"start": 290.71, "end": 291.05, "word": " to", "probability": 0.966796875}, {"start": 291.05, "end": 291.97, "word": " memorize", "probability": 0.85595703125}, {"start": 291.97, "end": 292.37, "word": " any", "probability": 0.9033203125}, {"start": 292.37, "end": 292.97, "word": " of", "probability": 0.966796875}, {"start": 292.97, "end": 293.21, "word": " these.", "probability": 0.75830078125}, {"start": 293.39, "end": 293.57, "word": " So", "probability": 0.9111328125}, {"start": 293.57, "end": 294.31, "word": " both", "probability": 0.56494140625}, {"start": 294.31, "end": 294.47, "word": " of", "probability": 0.96875}, {"start": 294.47, "end": 294.67, "word": " them,", "probability": 0.88916015625}, {"start": 294.75, "end": 294.97, "word": " all", "probability": 0.94775390625}, {"start": 294.97, "end": 295.09, "word": " of", "probability": 0.970703125}, {"start": 295.09, "end": 295.27, "word": " them", "probability": 0.8955078125}, {"start": 295.27, "end": 295.55, "word": " was", "probability": 0.51318359375}, {"start": 295.55, "end": 296.47, "word": " given", "probability": 0.88671875}, {"start": 296.47, "end": 297.01, "word": " in", "probability": 0.93701171875}, {"start": 297.01, "end": 297.17, "word": " a", "probability": 0.9580078125}, {"start": 297.17, "end": 297.47, "word": " formula", "probability": 0.912109375}, {"start": 297.47, "end": 297.85, "word": " sheet.", "probability": 0.85888671875}, {"start": 299.57, "end": 300.05, "word": " Now,", "probability": 0.85986328125}, {"start": 300.53, "end": 300.83, "word": " the", "probability": 0.70068359375}, {"start": 300.83, "end": 301.39, "word": " variance,", "probability": 0.82421875}, {"start": 302.61, "end": 303.99, "word": " if", "probability": 0.93359375}, {"start": 303.99, "end": 304.09, "word": " you", "probability": 0.9541015625}, {"start": 304.09, "end": 304.21, "word": " look", "probability": 0.966796875}, {"start": 304.21, "end": 304.31, "word": " at", "probability": 0.96435546875}, {"start": 304.31, "end": 304.53, "word": " this", "probability": 0.94482421875}, {"start": 304.53, "end": 304.99, "word": " formula,", "probability": 0.91357421875}, {"start": 306.45, "end": 306.69, "word": " and", "probability": 0.857421875}, {"start": 306.69, "end": 306.91, "word": " let's", "probability": 0.95556640625}, {"start": 306.91, "end": 307.03, "word": " see", "probability": 0.9130859375}, {"start": 307.03, "end": 307.15, "word": " how", "probability": 0.9296875}, {"start": 307.15, "end": 307.33, "word": " can", "probability": 0.7421875}, {"start": 307.33, "end": 307.45, "word": " we", "probability": 0.916015625}, {"start": 307.45, "end": 307.83, "word": " define", "probability": 0.904296875}, {"start": 307.83, "end": 308.01, "word": " the", "probability": 0.904296875}, {"start": 308.01, "end": 308.39, "word": " variance", "probability": 0.90966796875}, {"start": 308.39, "end": 308.77, "word": " based", "probability": 0.8876953125}, {"start": 308.77, "end": 308.97, "word": " on", "probability": 0.94677734375}, {"start": 308.97, "end": 309.21, "word": " this", "probability": 0.94482421875}, {"start": 309.21, "end": 309.59, "word": " notation.", "probability": 0.96875}], "temperature": 1.0}, {"id": 14, "seek": 33872, "start": 311.34, "end": 338.72, "text": " The variance is the average, or approximately the average. Because here we divide by n minus 1 of n. So it's not exactly the average, but approximately the average of what? Of squared deviations, squared deviations of the values from its mean. So again, see the variance?", "tokens": [440, 21977, 307, 264, 4274, 11, 420, 10447, 264, 4274, 13, 1436, 510, 321, 9845, 538, 297, 3175, 502, 295, 297, 13, 407, 309, 311, 406, 2293, 264, 4274, 11, 457, 10447, 264, 4274, 295, 437, 30, 2720, 8889, 31219, 763, 11, 8889, 31219, 763, 295, 264, 4190, 490, 1080, 914, 13, 407, 797, 11, 536, 264, 21977, 30], "avg_logprob": -0.24544270411133767, "compression_ratio": 1.6687116564417177, "no_speech_prob": 0.0, "words": [{"start": 311.34, "end": 311.62, "word": " The", "probability": 0.63427734375}, {"start": 311.62, "end": 312.2, "word": " variance", "probability": 0.90087890625}, {"start": 312.2, "end": 313.58, "word": " is", "probability": 0.9208984375}, {"start": 313.58, "end": 314.12, "word": " the", "probability": 0.8828125}, {"start": 314.12, "end": 314.74, "word": " average,", "probability": 0.791015625}, {"start": 315.28, "end": 316.1, "word": " or", "probability": 0.951171875}, {"start": 316.1, "end": 316.7, "word": " approximately", "probability": 0.87255859375}, {"start": 316.7, "end": 317.04, "word": " the", "probability": 0.8857421875}, {"start": 317.04, "end": 317.36, "word": " average.", "probability": 0.79931640625}, {"start": 317.48, "end": 317.88, "word": " Because", "probability": 0.91748046875}, {"start": 317.88, "end": 318.24, "word": " here", "probability": 0.80029296875}, {"start": 318.24, "end": 318.4, "word": " we", "probability": 0.71826171875}, {"start": 318.4, "end": 318.78, "word": " divide", "probability": 0.90966796875}, {"start": 318.78, "end": 319.22, "word": " by", "probability": 0.962890625}, {"start": 319.22, "end": 320.12, "word": " n", "probability": 0.41796875}, {"start": 320.12, "end": 320.44, "word": " minus", "probability": 0.90966796875}, {"start": 320.44, "end": 320.64, "word": " 1", "probability": 0.63232421875}, {"start": 320.64, "end": 320.8, "word": " of", "probability": 0.43310546875}, {"start": 320.8, "end": 321.06, "word": " n.", "probability": 0.62353515625}, {"start": 321.22, "end": 321.58, "word": " So", "probability": 0.55126953125}, {"start": 321.58, "end": 321.94, "word": " it's", "probability": 0.94580078125}, {"start": 321.94, "end": 322.24, "word": " not", "probability": 0.94580078125}, {"start": 322.24, "end": 322.9, "word": " exactly", "probability": 0.83837890625}, {"start": 322.9, "end": 323.1, "word": " the", "probability": 0.916015625}, {"start": 323.1, "end": 323.54, "word": " average,", "probability": 0.80078125}, {"start": 324.1, "end": 324.26, "word": " but", "probability": 0.9287109375}, {"start": 324.26, "end": 324.78, "word": " approximately", "probability": 0.8935546875}, {"start": 324.78, "end": 325.1, "word": " the", "probability": 0.9130859375}, {"start": 325.1, "end": 325.34, "word": " average", "probability": 0.80859375}, {"start": 325.34, "end": 325.52, "word": " of", "probability": 0.95947265625}, {"start": 325.52, "end": 325.7, "word": " what?", "probability": 0.9130859375}, {"start": 326.32, "end": 327.1, "word": " Of", "probability": 0.68603515625}, {"start": 327.1, "end": 327.66, "word": " squared", "probability": 0.578125}, {"start": 327.66, "end": 328.4, "word": " deviations,", "probability": 0.93994140625}, {"start": 328.9, "end": 329.48, "word": " squared", "probability": 0.70556640625}, {"start": 329.48, "end": 331.84, "word": " deviations", "probability": 0.942626953125}, {"start": 331.84, "end": 332.44, "word": " of", "probability": 0.759765625}, {"start": 332.44, "end": 332.72, "word": " the", "probability": 0.91943359375}, {"start": 332.72, "end": 333.24, "word": " values", "probability": 0.9599609375}, {"start": 333.24, "end": 334.5, "word": " from", "probability": 0.86962890625}, {"start": 334.5, "end": 334.82, "word": " its", "probability": 0.7919921875}, {"start": 334.82, "end": 335.1, "word": " mean.", "probability": 0.9814453125}, {"start": 336.1, "end": 336.28, "word": " So", "probability": 0.9501953125}, {"start": 336.28, "end": 336.6, "word": " again,", "probability": 0.88916015625}, {"start": 337.12, "end": 337.98, "word": " see", "probability": 0.2462158203125}, {"start": 337.98, "end": 338.24, "word": " the", "probability": 0.76611328125}, {"start": 338.24, "end": 338.72, "word": " variance?", "probability": 0.9033203125}], "temperature": 1.0}, {"id": 15, "seek": 36631, "start": 339.81, "end": 366.31, "text": " is the average or approximately the average of square deviations of values, I mean of the observations you have from the mean. That will give the sample variance actually. So S squared, the formula is summation of Xi minus X bar squared, and I goes from one up to N, N is the sample size you have, then divide by N minus one.", "tokens": [307, 264, 4274, 420, 10447, 264, 4274, 295, 3732, 31219, 763, 295, 4190, 11, 286, 914, 295, 264, 18163, 291, 362, 490, 264, 914, 13, 663, 486, 976, 264, 6889, 21977, 767, 13, 407, 318, 8889, 11, 264, 8513, 307, 28811, 295, 15712, 3175, 1783, 2159, 8889, 11, 293, 286, 1709, 490, 472, 493, 281, 426, 11, 426, 307, 264, 6889, 2744, 291, 362, 11, 550, 9845, 538, 426, 3175, 472, 13], "avg_logprob": -0.26712329746925667, "compression_ratio": 1.63, "no_speech_prob": 0.0, "words": [{"start": 339.81, "end": 340.09, "word": " is", "probability": 0.365478515625}, {"start": 340.09, "end": 340.23, "word": " the", "probability": 0.75732421875}, {"start": 340.23, "end": 340.55, "word": " average", "probability": 0.78857421875}, {"start": 340.55, "end": 340.81, "word": " or", "probability": 0.47412109375}, {"start": 340.81, "end": 341.51, 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And both of them measure the spread of the data around the mean. Now, most of the time, we use the standard deviation, not the variance, because the standard deviation has the same units as the original data. 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648.71, "word": " minus", "probability": 0.97119140625}, {"start": 648.71, "end": 648.97, "word": " 1.", "probability": 0.54248046875}], "temperature": 1.0}, {"id": 27, "seek": 67697, "start": 649.67, "end": 676.97, "text": " So divide this value by n minus 1, that will give the sample variance. To compute the standard deviation, just take the square root of your result in step 4. I mean, for example, imagine that S squared is 36. This is the sample variance, so S equals 6. So just take the square root of that value.", "tokens": [407, 9845, 341, 2158, 538, 297, 3175, 502, 11, 300, 486, 976, 264, 6889, 21977, 13, 1407, 14722, 264, 3832, 25163, 11, 445, 747, 264, 3732, 5593, 295, 428, 1874, 294, 1823, 1017, 13, 286, 914, 11, 337, 1365, 11, 3811, 300, 318, 8889, 307, 8652, 13, 639, 307, 264, 6889, 21977, 11, 370, 318, 6915, 1386, 13, 407, 445, 747, 264, 3732, 5593, 295, 300, 2158, 13], "avg_logprob": -0.17096920808156332, "compression_ratio": 1.6685393258426966, "no_speech_prob": 0.0, "words": [{"start": 649.67, "end": 649.95, "word": " So", "probability": 0.8740234375}, {"start": 649.95, "end": 650.29, "word": " divide", "probability": 0.83984375}, {"start": 650.29, "end": 650.51, "word": " this", "probability": 0.9462890625}, {"start": 650.51, "end": 651.23, "word": " value", "probability": 0.85546875}, {"start": 651.23, "end": 651.43, "word": " by", "probability": 0.9736328125}, {"start": 651.43, "end": 651.59, "word": " n", "probability": 0.5732421875}, 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Suppose we have sample data as 10, 12, 14, up to 24 sample data just for illustration. Sometimes we have huge or large dataset. In that case, you have to use software such as software, maybe use Excel, SVSS, Minitab or whatever software you have.", "tokens": [823, 11, 718, 311, 14722, 264, 3832, 25163, 337, 257, 2685, 28872, 13, 21360, 321, 362, 6889, 1412, 382, 1266, 11, 2272, 11, 3499, 11, 493, 281, 4022, 6889, 1412, 445, 337, 22645, 13, 4803, 321, 362, 2603, 420, 2416, 28872, 13, 682, 300, 1389, 11, 291, 362, 281, 764, 4722, 1270, 382, 4722, 11, 1310, 764, 19060, 11, 31910, 21929, 11, 2829, 270, 455, 420, 2035, 4722, 291, 362, 13], "avg_logprob": -0.2762586714492904, "compression_ratio": 1.541871921182266, "no_speech_prob": 0.0, "words": [{"start": 680.3199999999999, "end": 680.92, "word": " Now,", "probability": 0.39990234375}, {"start": 681.1, "end": 681.42, "word": " let's", "probability": 0.877685546875}, {"start": 681.42, "end": 681.8, "word": " compute", "probability": 0.87353515625}, {"start": 681.8, "end": 682.16, "word": " the", "probability": 0.7294921875}, {"start": 682.16, "end": 682.44, "word": 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So n equals eight. So the sample size is eight. Just count these values, one, two, three, four, up to eight, so that the sample size is eight. So n equals eight. The mean or the average add these values, as we mentioned last time, and divide by the total number of observations. That will give 16.", "tokens": [1171, 341, 1365, 11, 456, 366, 3180, 18163, 13, 407, 297, 6915, 3180, 13, 407, 264, 6889, 2744, 307, 3180, 13, 1449, 1207, 613, 4190, 11, 472, 11, 732, 11, 1045, 11, 1451, 11, 493, 281, 3180, 11, 370, 300, 264, 6889, 2744, 307, 3180, 13, 407, 297, 6915, 3180, 13, 440, 914, 420, 264, 4274, 909, 613, 4190, 11, 382, 321, 2835, 1036, 565, 11, 293, 9845, 538, 264, 3217, 1230, 295, 18163, 13, 663, 486, 976, 3165, 13], "avg_logprob": -0.17428626248865953, "compression_ratio": 1.7563451776649746, "no_speech_prob": 0.0, "words": [{"start": 708.4300000000001, "end": 708.95, "word": " For", "probability": 0.8388671875}, {"start": 708.95, "end": 709.39, "word": " this", "probability": 0.9404296875}, {"start": 709.39, "end": 710.37, "word": " example,", "probability": 0.97802734375}, {"start": 710.77, "end": 711.09, "word": " there", "probability": 0.90478515625}, {"start": 711.09, "end": 711.51, "word": " are", "probability": 0.94970703125}, {"start": 711.51, "end": 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So we computed the average first. Step two, we have data. For example, 10. 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And do the same for the rest. I mean for 12. So 12 minus 16 is negative for all the way up to the last value 24. So 24 minus 16 gives 8. That's step number 2. 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And now it's squared. So x minus x bar squared. So minus 6 squared, you get 6, 16, up to 64, all the way down, up to 64. 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So the standard deviation is the formula we have. Divide this value. I mean, divide 130 by n minus 1. The sample size, as we mentioned, was 8. So 8 minus 1 is 7. So 130 divided by 7 will give 4.3. 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So again, the first step here, we have to find the deviation from each value and its mean, then square each one, each value, add these values together. 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So that will get us in. Any question? Let's move to the next one.", "tokens": [440, 3832, 25163, 307, 445, 3732, 5593, 295, 472, 2636, 6666, 538, 426, 3175, 472, 13, 407, 300, 486, 483, 505, 294, 13, 2639, 1168, 30, 961, 311, 1286, 281, 264, 958, 472, 13], "avg_logprob": -0.2821428656578064, "compression_ratio": 1.2586206896551724, "no_speech_prob": 0.0, "words": [{"start": 873.6, "end": 874.02, "word": " The", "probability": 0.6005859375}, {"start": 874.02, "end": 874.46, "word": " standard", "probability": 0.74609375}, {"start": 874.46, "end": 874.8, "word": " deviation", "probability": 0.9404296875}, {"start": 874.8, "end": 875.06, "word": " is", "probability": 0.90380859375}, {"start": 875.06, "end": 875.3, "word": " just", "probability": 0.88037109375}, {"start": 875.3, "end": 875.62, "word": " square", "probability": 0.61767578125}, {"start": 875.62, "end": 875.84, "word": " root", "probability": 0.939453125}, {"start": 875.84, "end": 876.02, "word": " of", "probability": 0.94873046875}, {"start": 876.02, "end": 876.24, "word": " one", "probability": 0.423583984375}, {"start": 876.24, "end": 876.52, "word": " third", "probability": 0.489990234375}, {"start": 876.52, "end": 877.28, "word": " divided", "probability": 0.5302734375}, {"start": 877.28, "end": 877.64, "word": " by", "probability": 0.97265625}, {"start": 877.64, "end": 878.12, "word": " N", "probability": 0.48974609375}, {"start": 878.12, "end": 879.16, "word": " minus", "probability": 0.9091796875}, {"start": 879.16, "end": 879.52, "word": " one.", "probability": 0.8515625}, {"start": 880.42, "end": 880.62, "word": " So", "probability": 0.859375}, {"start": 880.62, "end": 880.82, "word": " that", "probability": 0.802734375}, {"start": 880.82, "end": 880.98, "word": " will", "probability": 0.72802734375}, {"start": 880.98, "end": 881.16, "word": " get", "probability": 0.342529296875}, {"start": 881.16, "end": 881.36, "word": " us", "probability": 0.69873046875}, {"start": 881.36, "end": 881.5, "word": " in.", "probability": 0.44921875}, {"start": 886.76, "end": 887.4, "word": " Any", "probability": 0.908203125}, {"start": 887.4, "end": 887.76, "word": " question?", "probability": 0.4755859375}, {"start": 891.7, "end": 892.34, "word": " Let's", "probability": 0.9541015625}, {"start": 892.34, "end": 892.68, "word": " move", "probability": 0.94873046875}, {"start": 892.68, "end": 894.18, "word": " to", "probability": 0.9453125}, {"start": 894.18, "end": 894.32, "word": " the", "probability": 0.9150390625}, {"start": 894.32, "end": 894.5, "word": " next", "probability": 0.93505859375}, {"start": 894.5, "end": 894.78, "word": " one.", "probability": 0.85009765625}], "temperature": 1.0}, {"id": 36, "seek": 93044, "start": 905.16, "end": 930.44, "text": " Now this sheet compares the standard deviations for three different data sets. Look at data number one, data B, data C. All of them have the same mean. The mean is 15.5. So each data has mean of 15.5.", "tokens": [823, 341, 8193, 38334, 264, 3832, 31219, 763, 337, 1045, 819, 1412, 6352, 13, 2053, 412, 1412, 1230, 472, 11, 1412, 363, 11, 1412, 383, 13, 1057, 295, 552, 362, 264, 912, 914, 13, 440, 914, 307, 2119, 13, 20, 13, 407, 1184, 1412, 575, 914, 295, 2119, 13, 20, 13], "avg_logprob": -0.18073918699071959, "compression_ratio": 1.425531914893617, "no_speech_prob": 0.0, "words": [{"start": 905.16, "end": 905.4, "word": " Now", "probability": 0.79833984375}, {"start": 905.4, "end": 906.02, "word": " this", "probability": 0.607421875}, {"start": 906.02, "end": 906.96, "word": " sheet", "probability": 0.947265625}, {"start": 906.96, "end": 908.82, "word": " compares", "probability": 0.869140625}, {"start": 908.82, "end": 909.98, "word": " the", "probability": 0.84033203125}, {"start": 909.98, "end": 910.58, "word": " standard", "probability": 0.93212890625}, {"start": 910.58, "end": 911.28, "word": " deviations", "probability": 0.914794921875}, {"start": 911.28, "end": 912.38, "word": " for", "probability": 0.91064453125}, {"start": 912.38, "end": 912.74, "word": " three", "probability": 0.85009765625}, {"start": 912.74, "end": 913.26, "word": " different", "probability": 0.88818359375}, {"start": 913.26, "end": 913.54, "word": " data", "probability": 0.37060546875}, {"start": 913.54, "end": 913.96, "word": " sets.", "probability": 0.8935546875}, {"start": 915.24, "end": 915.6, "word": " Look", "probability": 0.79736328125}, {"start": 915.6, "end": 915.78, "word": " at", "probability": 0.9619140625}, {"start": 915.78, "end": 916.06, "word": " data", "probability": 0.806640625}, {"start": 916.06, "end": 916.3, "word": " number", "probability": 0.880859375}, {"start": 916.3, "end": 916.72, "word": " one,", "probability": 0.76025390625}, {"start": 918.68, "end": 918.94, "word": " data", "probability": 0.8134765625}, {"start": 918.94, "end": 919.22, "word": " B,", "probability": 0.501953125}, {"start": 919.54, "end": 919.74, "word": " data", "probability": 0.8955078125}, {"start": 919.74, "end": 920.1, "word": " C.", "probability": 0.99609375}, {"start": 920.96, "end": 921.42, "word": " All", "probability": 0.9658203125}, {"start": 921.42, "end": 921.56, "word": " of", "probability": 0.970703125}, {"start": 921.56, "end": 921.84, "word": " them", "probability": 0.890625}, {"start": 921.84, "end": 922.82, "word": " have", "probability": 0.94140625}, {"start": 922.82, "end": 923.04, "word": " the", "probability": 0.91650390625}, {"start": 923.04, "end": 923.34, "word": " same", "probability": 0.90869140625}, {"start": 923.34, "end": 923.62, "word": " mean.", "probability": 0.9677734375}, {"start": 924.2, "end": 924.4, "word": " The", "probability": 0.87841796875}, {"start": 924.4, "end": 924.56, "word": " mean", "probability": 0.966796875}, {"start": 924.56, "end": 924.76, "word": " is", "probability": 0.94970703125}, {"start": 924.76, "end": 925.14, "word": " 15", "probability": 0.9306640625}, {"start": 925.14, "end": 925.72, "word": ".5.", "probability": 0.991943359375}, {"start": 925.92, "end": 926.22, "word": " So", "probability": 0.9423828125}, {"start": 926.22, "end": 926.92, "word": " each", "probability": 0.8642578125}, {"start": 926.92, "end": 927.76, "word": " data", "probability": 0.95361328125}, {"start": 927.76, "end": 929.0, "word": " has", "probability": 0.939453125}, {"start": 929.0, "end": 929.2, "word": " mean", "probability": 0.912109375}, {"start": 929.2, "end": 929.48, "word": " of", "probability": 0.9609375}, {"start": 929.48, "end": 929.86, "word": " 15", "probability": 0.97509765625}, {"start": 929.86, "end": 930.44, "word": ".5.", "probability": 0.998779296875}], "temperature": 1.0}, {"id": 37, "seek": 95959, "start": 933.71, "end": 959.59, "text": " The distribution is completely different from data A to B to C. I mean, the mean by itself cannot be used as a measure to describe the distribution of the data, because each one has the same mean, but actually have different spread or variability. So for this reason, we have to compute.", "tokens": [440, 7316, 307, 2584, 819, 490, 1412, 316, 281, 363, 281, 383, 13, 286, 914, 11, 264, 914, 538, 2564, 2644, 312, 1143, 382, 257, 3481, 281, 6786, 264, 7316, 295, 264, 1412, 11, 570, 1184, 472, 575, 264, 912, 914, 11, 457, 767, 362, 819, 3974, 420, 35709, 13, 407, 337, 341, 1778, 11, 321, 362, 281, 14722, 13], "avg_logprob": -0.13627049375752934, "compression_ratio": 1.5401069518716577, "no_speech_prob": 0.0, "words": [{"start": 933.71, "end": 933.97, "word": " The", "probability": 0.452392578125}, {"start": 933.97, "end": 934.63, "word": " distribution", "probability": 0.86376953125}, {"start": 934.63, "end": 935.55, "word": " is", "probability": 0.94677734375}, {"start": 935.55, "end": 936.11, "word": " completely", "probability": 0.7734375}, {"start": 936.11, "end": 936.77, "word": " different", "probability": 0.88916015625}, {"start": 936.77, "end": 937.49, "word": " from", "probability": 0.8427734375}, {"start": 937.49, "end": 937.77, "word": " data", "probability": 0.865234375}, {"start": 937.77, "end": 938.05, "word": " A", "probability": 0.88720703125}, {"start": 938.05, "end": 938.23, "word": " to", "probability": 0.9501953125}, {"start": 938.23, "end": 938.43, "word": " B", "probability": 0.94775390625}, {"start": 938.43, "end": 938.65, "word": " to", "probability": 0.95361328125}, {"start": 938.65, "end": 938.95, "word": " C.", "probability": 0.99658203125}, {"start": 940.21, "end": 940.51, "word": " I", "probability": 0.7705078125}, {"start": 940.51, "end": 940.77, "word": " mean,", "probability": 0.96337890625}, {"start": 941.01, "end": 941.21, "word": " the", "probability": 0.9208984375}, {"start": 941.21, "end": 941.37, "word": " mean", "probability": 0.9658203125}, {"start": 941.37, "end": 941.59, "word": " by", "probability": 0.94482421875}, {"start": 941.59, "end": 942.25, "word": " itself", "probability": 0.837890625}, {"start": 942.25, "end": 943.29, "word": " cannot", "probability": 0.82568359375}, {"start": 943.29, "end": 943.65, "word": " be", "probability": 0.95654296875}, {"start": 943.65, "end": 944.05, "word": " used", "probability": 0.919921875}, {"start": 944.05, "end": 944.57, "word": " as", "probability": 0.96630859375}, {"start": 944.57, "end": 944.77, "word": " a", "probability": 0.9951171875}, {"start": 944.77, "end": 945.07, "word": " measure", "probability": 0.8505859375}, {"start": 945.07, "end": 945.79, "word": " to", "probability": 0.96337890625}, {"start": 945.79, "end": 946.57, "word": " describe", "probability": 0.8671875}, {"start": 946.57, "end": 947.09, "word": " the", "probability": 0.8896484375}, {"start": 947.09, "end": 947.57, "word": " distribution", "probability": 0.81103515625}, {"start": 947.57, "end": 947.85, "word": " of", "probability": 0.9599609375}, {"start": 947.85, "end": 947.95, "word": " the", "probability": 0.89892578125}, {"start": 947.95, "end": 948.25, "word": " data,", "probability": 0.93505859375}, {"start": 948.59, "end": 949.09, "word": " because", "probability": 0.8974609375}, {"start": 949.09, "end": 949.67, "word": " each", "probability": 0.94189453125}, {"start": 949.67, "end": 949.85, "word": " one", "probability": 0.935546875}, {"start": 949.85, "end": 950.03, "word": " has", "probability": 0.94482421875}, {"start": 950.03, "end": 950.21, "word": " the", "probability": 0.91796875}, {"start": 950.21, "end": 950.45, "word": " same", "probability": 0.90283203125}, {"start": 950.45, "end": 950.71, "word": " mean,", "probability": 0.9599609375}, {"start": 951.07, "end": 951.31, "word": " but", "probability": 0.8935546875}, {"start": 951.31, "end": 951.91, "word": " actually", "probability": 0.8896484375}, {"start": 951.91, "end": 952.81, "word": " have", "probability": 0.88232421875}, {"start": 952.81, "end": 954.27, "word": " different", "probability": 0.87744140625}, {"start": 954.27, "end": 956.23, "word": " spread", "probability": 0.87646484375}, {"start": 956.23, "end": 956.53, "word": " or", "probability": 0.87451171875}, {"start": 956.53, "end": 957.03, "word": " variability.", "probability": 0.970703125}, {"start": 957.65, "end": 957.77, "word": " So", "probability": 0.8984375}, {"start": 957.77, "end": 958.33, "word": " for", "probability": 0.78955078125}, {"start": 958.33, "end": 958.57, "word": " this", "probability": 0.931640625}, {"start": 958.57, "end": 958.79, "word": " reason,", "probability": 0.9697265625}, {"start": 958.85, "end": 958.95, "word": " we", "probability": 0.95703125}, {"start": 958.95, "end": 959.09, "word": " have", "probability": 0.94580078125}, {"start": 959.09, "end": 959.21, "word": " to", "probability": 0.96923828125}, {"start": 959.21, "end": 959.59, "word": " compute.", "probability": 0.923828125}], "temperature": 1.0}, {"id": 38, "seek": 98652, "start": 960.42, "end": 986.52, "text": " the variance in order to see which one has the highest spread or highest variability around the mean. If you look at data B, all the points are gathered around each other. I mean, there is no big difference between or big distance between these points. All of them ranges between 14 and 17.", "tokens": [264, 21977, 294, 1668, 281, 536, 597, 472, 575, 264, 6343, 3974, 420, 6343, 35709, 926, 264, 914, 13, 759, 291, 574, 412, 1412, 363, 11, 439, 264, 2793, 366, 13032, 926, 1184, 661, 13, 286, 914, 11, 456, 307, 572, 955, 2649, 1296, 420, 955, 4560, 1296, 613, 2793, 13, 1057, 295, 552, 22526, 1296, 3499, 293, 3282, 13], "avg_logprob": -0.13095542544224223, "compression_ratio": 1.6348314606741574, "no_speech_prob": 0.0, "words": [{"start": 960.42, "end": 960.7, "word": " the", "probability": 0.46875}, {"start": 960.7, "end": 961.1, "word": " variance", "probability": 0.8779296875}, {"start": 961.1, "end": 961.34, "word": " in", "probability": 0.80029296875}, {"start": 961.34, "end": 961.62, "word": " order", "probability": 0.92041015625}, {"start": 961.62, "end": 961.88, "word": " to", "probability": 0.96728515625}, {"start": 961.88, "end": 962.24, "word": " see", "probability": 0.927734375}, {"start": 962.24, "end": 962.72, "word": " which", "probability": 0.93994140625}, {"start": 962.72, "end": 963.06, "word": " one", "probability": 0.93212890625}, {"start": 963.06, "end": 963.68, "word": " has", "probability": 0.9384765625}, {"start": 963.68, "end": 963.92, "word": " the", "probability": 0.9150390625}, {"start": 963.92, "end": 964.38, "word": " highest", "probability": 0.9384765625}, {"start": 964.38, "end": 965.6, "word": " spread", "probability": 0.91064453125}, {"start": 965.6, "end": 965.92, "word": " or", "probability": 0.8427734375}, {"start": 965.92, "end": 966.24, "word": " highest", "probability": 0.9326171875}, {"start": 966.24, "end": 966.72, "word": " variability", "probability": 0.9736328125}, {"start": 966.72, "end": 967.1, "word": " around", "probability": 0.92236328125}, {"start": 967.1, "end": 967.3, "word": " the", "probability": 0.7568359375}, {"start": 967.3, "end": 967.44, "word": " mean.", "probability": 0.9716796875}, {"start": 967.92, "end": 968.14, "word": " If", "probability": 0.95166015625}, {"start": 968.14, "end": 968.24, "word": " you", "probability": 0.93994140625}, {"start": 968.24, "end": 968.38, "word": " look", "probability": 0.96484375}, {"start": 968.38, "end": 968.58, "word": " at", "probability": 0.96484375}, {"start": 968.58, "end": 968.9, "word": " data", "probability": 0.5078125}, {"start": 968.9, "end": 969.14, "word": " B,", "probability": 0.7802734375}, {"start": 971.0, "end": 971.42, "word": " all", "probability": 0.94482421875}, {"start": 971.42, "end": 971.56, "word": " the", "probability": 0.912109375}, {"start": 971.56, "end": 971.96, "word": " points", "probability": 0.94140625}, {"start": 971.96, "end": 973.28, "word": " are", "probability": 0.947265625}, {"start": 973.28, "end": 973.94, "word": " gathered", "probability": 0.759765625}, {"start": 973.94, "end": 974.94, "word": " around", "probability": 0.9287109375}, {"start": 974.94, "end": 975.22, "word": " each", "probability": 0.935546875}, {"start": 975.22, "end": 975.56, "word": " other.", "probability": 0.89208984375}, {"start": 976.66, "end": 976.84, "word": " I", "probability": 0.8310546875}, {"start": 976.84, "end": 977.04, "word": " mean,", "probability": 0.9619140625}, {"start": 977.42, "end": 977.72, "word": " there", "probability": 0.90478515625}, {"start": 977.72, "end": 977.88, "word": " is", "probability": 0.9375}, {"start": 977.88, "end": 978.24, "word": " no", "probability": 0.953125}, {"start": 978.24, "end": 978.6, "word": " big", "probability": 0.93359375}, {"start": 978.6, "end": 979.04, "word": " difference", "probability": 0.88623046875}, {"start": 979.04, "end": 979.46, "word": " between", "probability": 0.845703125}, {"start": 979.46, "end": 979.78, "word": " or", "probability": 0.7763671875}, {"start": 979.78, "end": 980.18, "word": " big", "probability": 0.91015625}, {"start": 980.18, "end": 980.6, "word": " distance", "probability": 0.94140625}, {"start": 980.6, "end": 981.46, "word": " between", "probability": 0.86181640625}, {"start": 981.46, "end": 982.76, "word": " these", "probability": 0.8203125}, {"start": 982.76, "end": 983.24, "word": " points.", "probability": 0.93994140625}, {"start": 983.44, "end": 983.62, "word": " All", "probability": 0.96826171875}, {"start": 983.62, "end": 983.76, "word": " of", "probability": 0.96923828125}, {"start": 983.76, "end": 983.98, "word": " them", "probability": 0.89306640625}, {"start": 983.98, "end": 984.76, "word": " ranges", "probability": 0.8486328125}, {"start": 984.76, "end": 985.22, "word": " between", "probability": 0.87890625}, {"start": 985.22, "end": 985.88, "word": " 14", "probability": 0.95751953125}, {"start": 985.88, "end": 986.08, "word": " and", "probability": 0.94091796875}, {"start": 986.08, "end": 986.52, "word": " 17.", "probability": 0.96044921875}], "temperature": 1.0}, {"id": 39, "seek": 101656, "start": 990.78, "end": 1016.56, "text": " All the datasets we have here, three datasets, all of them have the same average or the same mean of 15.5. Data B, for example, the data points ranges from 14 up to 17. So there is no gap between these values. So it makes sense that this dataset has the smallest deviation around the mean.", "tokens": [1057, 264, 42856, 321, 362, 510, 11, 1045, 42856, 11, 439, 295, 552, 362, 264, 912, 4274, 420, 264, 912, 914, 295, 2119, 13, 20, 13, 11888, 363, 11, 337, 1365, 11, 264, 1412, 2793, 22526, 490, 3499, 493, 281, 3282, 13, 407, 456, 307, 572, 7417, 1296, 613, 4190, 13, 407, 309, 1669, 2020, 300, 341, 28872, 575, 264, 16998, 25163, 926, 264, 914, 13], "avg_logprob": -0.16103078046841407, "compression_ratio": 1.5591397849462365, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 990.78, "end": 991.0, "word": " All", "probability": 0.68310546875}, {"start": 991.0, "end": 991.16, "word": " the", "probability": 0.8154296875}, {"start": 991.16, "end": 991.54, "word": " datasets", "probability": 0.5576171875}, {"start": 991.54, "end": 991.86, "word": " we", "probability": 0.9248046875}, {"start": 991.86, "end": 992.14, "word": " have", "probability": 0.95068359375}, {"start": 992.14, "end": 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If you look at data number 1, now there is a gap between this value 13 and 16. Also, there is a gap between 18 and 21. 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Because there is a big gap between or big distance between 12 and 19. For this reason, the standard deviation is around 4.5. So it has the largest standard deviation. 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You have to say that the mean is 15.5 with standard deviation 3.3. Another dataset has the same mean but different standard deviation. So in this case, we can tell which one has more spread. 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The other one is wider. So, data A is less spread than data B, even if they have the same center or descent. See, you can tell if.", "tokens": [440, 3974, 510, 2544, 281, 312, 46751, 813, 264, 661, 472, 13, 440, 661, 472, 307, 11842, 13, 407, 11, 1412, 316, 307, 1570, 3974, 813, 1412, 363, 11, 754, 498, 436, 362, 264, 912, 3056, 420, 23475, 13, 3008, 11, 291, 393, 980, 498, 13], "avg_logprob": -0.3640292578555168, "compression_ratio": 1.4573643410852712, "no_speech_prob": 0.0, "words": [{"start": 1169.87, "end": 1170.19, "word": " The", "probability": 0.164306640625}, {"start": 1170.19, "end": 1170.57, "word": " spread", "probability": 0.67626953125}, {"start": 1170.57, "end": 1170.97, "word": " here", "probability": 0.67529296875}, {"start": 1170.97, "end": 1172.25, "word": " seems", "probability": 0.53857421875}, {"start": 1172.25, "end": 1172.53, "word": " to", "probability": 0.95751953125}, {"start": 1172.53, "end": 1172.99, "word": " be", "probability": 0.9462890625}, {"start": 1172.99, "end": 1173.95, "word": " narrower", "probability": 0.68994140625}, {"start": 1173.95, "end": 1175.31, 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But imagine that you have a data of the same values. Suppose we have five students of five children and their age is five, five, five, five. So the average of this one is five. Now what's the range?", "tokens": [286, 914, 264, 4190, 295, 35796, 366, 406, 2681, 13, 583, 3811, 300, 291, 362, 257, 1412, 295, 264, 912, 4190, 13, 21360, 321, 362, 1732, 1731, 295, 1732, 2227, 293, 641, 3205, 307, 1732, 11, 1732, 11, 1732, 11, 1732, 13, 407, 264, 4274, 295, 341, 472, 307, 1732, 13, 823, 437, 311, 264, 3613, 30], "avg_logprob": -0.20662715774157953, "compression_ratio": 1.5506329113924051, "no_speech_prob": 1.9073486328125e-06, "words": [{"start": 1303.91, "end": 1304.47, "word": " I", "probability": 0.1346435546875}, {"start": 1304.47, "end": 1305.03, "word": " mean", "probability": 0.83203125}, {"start": 1305.03, "end": 1305.17, "word": " the", "probability": 0.56494140625}, {"start": 1305.17, "end": 1305.45, "word": " values", "probability": 0.794921875}, {"start": 1305.45, "end": 1305.65, "word": " of", "probability": 0.75390625}, {"start": 1305.65, "end": 1306.15, "word": " innocence", "probability": 0.5146484375}, {"start": 1306.15, "end": 1306.59, "word": " 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Any question? So we explained range, variance, and standard deviation. Outliers affect the variance and standard deviation. We said that outliers affect the range and the mean.", "tokens": [1610, 2681, 11, 293, 2681, 445, 498, 264, 4190, 366, 264, 912, 11, 420, 366, 2681, 13, 2639, 1168, 30, 407, 321, 8825, 3613, 11, 21977, 11, 293, 3832, 25163, 13, 5925, 23646, 3345, 264, 21977, 293, 3832, 25163, 13, 492, 848, 300, 484, 23646, 3345, 264, 3613, 293, 264, 914, 13], "avg_logprob": -0.2594339577656872, "compression_ratio": 1.6712328767123288, "no_speech_prob": 0.0, "words": [{"start": 1379.82, "end": 1380.14, "word": " Or", "probability": 0.446044921875}, {"start": 1380.14, "end": 1380.5, "word": " equal,", "probability": 0.87060546875}, {"start": 1381.26, "end": 1381.64, "word": " and", "probability": 0.85546875}, {"start": 1381.64, "end": 1381.9, "word": " equal", "probability": 0.91650390625}, {"start": 1381.9, "end": 1382.22, "word": " just", "probability": 0.64501953125}, {"start": 1382.22, "end": 1382.48, "word": " if", "probability": 0.9453125}, {"start": 1382.48, "end": 1382.64, "word": " the", "probability": 0.912109375}, {"start": 1382.64, "end": 1383.0, "word": " values", "probability": 0.9658203125}, {"start": 1383.0, "end": 1383.28, "word": " are", "probability": 0.9443359375}, {"start": 1383.28, "end": 1383.46, "word": " the", "probability": 0.86474609375}, {"start": 1383.46, "end": 1383.72, "word": " same,", "probability": 0.90673828125}, {"start": 1384.22, "end": 1384.38, "word": " or", "probability": 0.92578125}, {"start": 1384.38, "end": 1384.62, "word": " are", "probability": 0.91552734375}, {"start": 1384.62, "end": 1384.94, "word": " equal.", "probability": 0.890625}, {"start": 1386.32, "end": 1386.8, "word": " Any", "probability": 0.896484375}, {"start": 1386.8, "end": 1387.1, "word": " question?", "probability": 0.73779296875}, {"start": 1388.56, "end": 1388.76, "word": " So", "probability": 0.6826171875}, {"start": 1388.76, "end": 1388.98, "word": " we", "probability": 0.234619140625}, {"start": 1388.98, "end": 1389.42, "word": " explained", "probability": 0.58447265625}, {"start": 1389.42, "end": 1391.3, "word": " range,", "probability": 0.8427734375}, {"start": 1392.08, "end": 1392.96, "word": " variance,", "probability": 0.88916015625}, {"start": 1393.26, "end": 1393.4, "word": " and", "probability": 0.78466796875}, {"start": 1393.4, "end": 1393.56, "word": " standard", "probability": 0.5166015625}, {"start": 1393.56, "end": 1393.82, "word": " deviation.", "probability": 0.91064453125}, {"start": 1398.46, "end": 1399.16, "word": " Outliers", "probability": 0.52337646484375}, {"start": 1399.16, "end": 1401.0, "word": " affect", "probability": 0.8857421875}, {"start": 1401.0, "end": 1402.42, "word": " the", "probability": 0.89892578125}, {"start": 1402.42, "end": 1403.02, "word": " variance", "probability": 0.91552734375}, {"start": 1403.02, "end": 1403.36, "word": " and", "probability": 0.931640625}, {"start": 1403.36, "end": 1403.58, "word": " standard", "probability": 0.94775390625}, {"start": 1403.58, "end": 1404.0, "word": " deviation.", "probability": 0.94189453125}, {"start": 1404.72, "end": 1404.84, "word": " We", "probability": 0.9052734375}, {"start": 1404.84, "end": 1405.36, "word": " said", "probability": 0.85986328125}, {"start": 1405.36, "end": 1405.78, "word": " that", "probability": 0.92529296875}, {"start": 1405.78, "end": 1406.62, "word": " outliers", "probability": 0.93505859375}, {"start": 1406.62, "end": 1407.18, "word": " affect", "probability": 0.57861328125}, {"start": 1407.18, "end": 1407.92, "word": " the", "probability": 0.900390625}, {"start": 1407.92, "end": 1408.72, "word": " range", "probability": 0.88623046875}, {"start": 1408.72, "end": 1409.0, "word": " and", "probability": 0.83349609375}, {"start": 1409.0, "end": 1409.12, "word": " the", "probability": 0.86181640625}, {"start": 1409.12, "end": 1409.3, "word": " mean.", "probability": 0.96875}], "temperature": 1.0}, {"id": 55, "seek": 142983, "start": 1409.47, "end": 1429.83, "text": " Now what's about standard deviation? Look at this formula again. Now in order to compute the sample standard deviation, we have to compute the mean first. And we know that outliers affect the mean much more than the median.", "tokens": [823, 437, 311, 466, 3832, 25163, 30, 2053, 412, 341, 8513, 797, 13, 823, 294, 1668, 281, 14722, 264, 6889, 3832, 25163, 11, 321, 362, 281, 14722, 264, 914, 700, 13, 400, 321, 458, 300, 484, 23646, 3345, 264, 914, 709, 544, 813, 264, 26779, 13], "avg_logprob": -0.19896942123453668, "compression_ratio": 1.5342465753424657, "no_speech_prob": 0.0, "words": [{"start": 1409.47, "end": 1409.71, "word": " Now", "probability": 0.75732421875}, {"start": 1409.71, "end": 1409.91, "word": " what's", "probability": 0.674560546875}, {"start": 1409.91, "end": 1410.17, "word": " about", "probability": 0.8994140625}, {"start": 1410.17, "end": 1410.55, "word": " standard", "probability": 0.9375}, {"start": 1410.55, "end": 1410.85, "word": " deviation?", "probability": 0.85498046875}, {"start": 1412.33, "end": 1412.91, "word": " Look", "probability": 0.79541015625}, {"start": 1412.91, "end": 1413.05, "word": " at", "probability": 0.97021484375}, {"start": 1413.05, "end": 1413.25, "word": " this", "probability": 0.9462890625}, {"start": 1413.25, "end": 1413.65, "word": " formula", "probability": 0.91943359375}, {"start": 1413.65, "end": 1414.03, "word": " again.", "probability": 0.88037109375}, {"start": 1415.67, "end": 1416.25, "word": " Now", "probability": 0.2137451171875}, {"start": 1416.25, "end": 1419.63, "word": " in", "probability": 0.75341796875}, {"start": 1419.63, "end": 1419.83, "word": " order", "probability": 0.927734375}, {"start": 1419.83, "end": 1420.01, "word": " to", "probability": 0.97314453125}, {"start": 1420.01, "end": 1420.33, "word": " compute", "probability": 0.9091796875}, {"start": 1420.33, "end": 1420.61, "word": " the", "probability": 0.84033203125}, {"start": 1420.61, "end": 1421.11, "word": " sample", "probability": 0.52490234375}, {"start": 1421.11, "end": 1421.53, "word": " standard", "probability": 0.94091796875}, {"start": 1421.53, "end": 1421.89, "word": " deviation,", "probability": 0.90283203125}, {"start": 1422.07, "end": 1422.17, "word": " we", "probability": 0.93896484375}, {"start": 1422.17, "end": 1422.49, "word": " have", "probability": 0.94482421875}, {"start": 1422.49, "end": 1422.71, "word": " to", "probability": 0.97216796875}, {"start": 1422.71, "end": 1423.43, "word": " compute", "probability": 0.93408203125}, {"start": 1423.43, "end": 1424.13, "word": " the", "probability": 0.92236328125}, {"start": 1424.13, "end": 1424.29, "word": " mean", "probability": 0.9697265625}, {"start": 1424.29, "end": 1424.67, "word": " first.", "probability": 0.86181640625}, {"start": 1425.41, "end": 1425.57, "word": " And", "probability": 0.88818359375}, {"start": 1425.57, "end": 1425.71, "word": " we", "probability": 0.916015625}, {"start": 1425.71, "end": 1425.85, "word": " know", "probability": 0.8857421875}, {"start": 1425.85, "end": 1426.13, "word": " that", "probability": 0.9345703125}, {"start": 1426.13, "end": 1426.69, "word": " outliers", "probability": 0.863037109375}, {"start": 1426.69, "end": 1427.07, "word": " affect", "probability": 0.80517578125}, {"start": 1427.07, "end": 1427.31, "word": " the", "probability": 0.91162109375}, {"start": 1427.31, "end": 1427.53, "word": " mean", "probability": 0.9697265625}, {"start": 1427.53, "end": 1429.07, "word": " much", "probability": 0.57373046875}, {"start": 1429.07, "end": 1429.29, "word": " more", "probability": 0.93408203125}, {"start": 1429.29, "end": 1429.43, "word": " than", "probability": 0.95166015625}, {"start": 1429.43, "end": 1429.59, "word": " the", "probability": 0.921875}, {"start": 1429.59, "end": 1429.83, "word": " median.", "probability": 0.94775390625}], "temperature": 1.0}, {"id": 56, "seek": 146053, "start": 1431.35, "end": 1460.53, "text": " Since outliers affect X bar, and S is a function of X bar, that means also outliers affect the standard deviation. 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percentage shows variation relative to the mean and can be used to compare the variability of two or more than two sets of data measured in different units. The formula for CV or coefficient of variation", "tokens": [337, 4972, 12990, 1009, 8855, 294, 9668, 3110, 12990, 4972, 281, 264, 914, 293, 393, 312, 1143, 281, 6794, 264, 35709, 295, 732, 420, 544, 813, 732, 6352, 295, 1412, 12690, 294, 819, 6815, 13, 440, 8513, 337, 22995, 420, 17619, 295, 12990], "avg_logprob": -0.1432883587073196, "compression_ratio": 1.559748427672956, "no_speech_prob": 0.0, "words": [{"start": 1588.36, "end": 1588.8, "word": " for", "probability": 0.82177734375}, {"start": 1588.8, "end": 1589.38, "word": " relative", "probability": 0.93701171875}, {"start": 1589.38, "end": 1590.18, "word": " variation", "probability": 0.91162109375}, {"start": 1590.18, "end": 1591.18, "word": " always", "probability": 0.53125}, {"start": 1591.18, "end": 1592.54, "word": " represents", "probability": 0.87255859375}, {"start": 1592.54, "end": 1593.2, "word": " in", "probability": 0.6416015625}, {"start": 1593.2, "end": 1593.82, "word": " percentage", "probability": 0.84716796875}, {"start": 1593.82, "end": 1595.22, "word": " shows", "probability": 0.4169921875}, {"start": 1595.22, "end": 1595.96, "word": " variation", "probability": 0.90625}, {"start": 1595.96, "end": 1596.7, "word": " relative", "probability": 0.93505859375}, {"start": 1596.7, "end": 1596.98, "word": " to", "probability": 0.96875}, {"start": 1596.98, "end": 1597.14, "word": " the", "probability": 0.92578125}, {"start": 1597.14, "end": 1597.36, "word": " mean", "probability": 0.9619140625}, {"start": 1597.36, "end": 1598.72, "word": " and", "probability": 0.60107421875}, {"start": 1598.72, "end": 1600.3, "word": " can", "probability": 0.92333984375}, {"start": 1600.3, "end": 1600.5, "word": " be", "probability": 0.958984375}, {"start": 1600.5, "end": 1600.84, "word": " used", "probability": 0.91015625}, {"start": 1600.84, "end": 1601.22, "word": " to", "probability": 0.96728515625}, {"start": 1601.22, "end": 1601.66, "word": " compare", "probability": 0.95556640625}, {"start": 1601.66, "end": 1601.9, "word": " the", "probability": 0.89990234375}, {"start": 1601.9, "end": 1602.38, "word": " variability", "probability": 0.97802734375}, {"start": 1602.38, "end": 1602.9, "word": " of", "probability": 0.96875}, {"start": 1602.9, "end": 1603.26, "word": " two", "probability": 0.89794921875}, {"start": 1603.26, "end": 1604.04, "word": " or", "probability": 0.9228515625}, {"start": 1604.04, "end": 1604.3, "word": " more", "probability": 0.94189453125}, {"start": 1604.3, "end": 1604.5, "word": " than", "probability": 0.9384765625}, {"start": 1604.5, "end": 1604.86, "word": " two", "probability": 0.93505859375}, {"start": 1604.86, "end": 1606.34, "word": " sets", "probability": 0.92431640625}, {"start": 1606.34, "end": 1606.54, "word": " of", "probability": 0.96630859375}, {"start": 1606.54, "end": 1606.82, "word": " data", "probability": 0.935546875}, {"start": 1606.82, "end": 1607.28, "word": " measured", "probability": 0.81005859375}, {"start": 1607.28, "end": 1607.76, "word": " in", "probability": 0.9462890625}, {"start": 1607.76, "end": 1608.68, "word": " different", "probability": 0.87255859375}, {"start": 1608.68, "end": 1609.16, "word": " units.", "probability": 0.95751953125}, {"start": 1609.98, "end": 1610.14, "word": " The", "probability": 0.826171875}, {"start": 1610.14, "end": 1610.5, "word": " formula", "probability": 0.91943359375}, {"start": 1610.5, "end": 1610.98, "word": " for", "probability": 0.955078125}, {"start": 1610.98, "end": 1611.48, "word": " CV", "probability": 0.779296875}, {"start": 1611.48, "end": 1611.86, "word": " or", "probability": 0.79296875}, {"start": 1611.86, "end": 1613.68, "word": " coefficient", "probability": 0.947265625}, {"start": 1613.68, "end": 1614.0, "word": " of", "probability": 0.962890625}, {"start": 1614.0, "end": 1614.44, "word": " variation", "probability": 0.888671875}], "temperature": 1.0}, {"id": 63, "seek": 164313, "start": 1615.83, "end": 1643.13, "text": " S divided by X bar. So we have to compute both the mean and the standard deviation in order to compute CV. S divided by X bar multiplied by 100 gives the coefficient of variation. Now, for example, suppose we have two stock markets, stock A and stock B. And let's say that the average price last year for stock A was $50.", "tokens": [318, 6666, 538, 1783, 2159, 13, 407, 321, 362, 281, 14722, 1293, 264, 914, 293, 264, 3832, 25163, 294, 1668, 281, 14722, 22995, 13, 318, 6666, 538, 1783, 2159, 17207, 538, 2319, 2709, 264, 17619, 295, 12990, 13, 823, 11, 337, 1365, 11, 7297, 321, 362, 732, 4127, 8383, 11, 4127, 316, 293, 4127, 363, 13, 400, 718, 311, 584, 300, 264, 4274, 3218, 1036, 1064, 337, 4127, 316, 390, 1848, 2803, 13], "avg_logprob": -0.1763091252462284, "compression_ratio": 1.5555555555555556, "no_speech_prob": 0.0, "words": [{"start": 1615.83, "end": 1616.37, "word": " S", "probability": 0.60498046875}, {"start": 1616.37, "end": 1616.97, "word": " divided", "probability": 0.55224609375}, {"start": 1616.97, "end": 1617.27, "word": " by", "probability": 0.96826171875}, {"start": 1617.27, "end": 1617.51, "word": " X", "probability": 0.69921875}, {"start": 1617.51, "end": 1617.79, "word": " bar.", "probability": 0.8564453125}, 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For stock B, the average price last year was $100 with the same standard deviations. It's five. Now let's compare which one, which price I mean, which stock price is more spread than the other one. I mean, which one has", "tokens": [400, 264, 3832, 25163, 390, 1732, 13, 1171, 4127, 363, 11, 264, 4274, 3218, 1036, 1064, 390, 1848, 6879, 365, 264, 912, 3832, 31219, 763, 13, 467, 311, 1732, 13, 823, 718, 311, 6794, 597, 472, 11, 597, 3218, 286, 914, 11, 597, 4127, 3218, 307, 544, 3974, 813, 264, 661, 472, 13, 286, 914, 11, 597, 472, 575], "avg_logprob": -0.20026041741172473, "compression_ratio": 1.6163522012578617, "no_speech_prob": 0.0, "words": [{"start": 1644.8, "end": 1645.16, "word": " And", "probability": 0.3974609375}, {"start": 1645.16, "end": 1645.36, "word": " the", "probability": 0.7314453125}, {"start": 1645.36, "end": 1645.6, "word": " standard", "probability": 0.82861328125}, {"start": 1645.6, "end": 1645.94, "word": " deviation", "probability": 0.8759765625}, {"start": 1645.94, "end": 1646.24, "word": " was", "probability": 0.935546875}, {"start": 1646.24, "end": 1646.6, "word": " five.", "probability": 0.4443359375}, {"start": 1648.96, "end": 1649.38, "word": " For", "probability": 0.94140625}, {"start": 1649.38, "end": 1649.76, "word": " stock", "probability": 0.224365234375}, {"start": 1649.76, "end": 1650.04, "word": " B,", "probability": 0.935546875}, {"start": 1650.72, "end": 1651.72, "word": " the", "probability": 0.8955078125}, {"start": 1651.72, "end": 1652.04, "word": " average", "probability": 0.76025390625}, {"start": 1652.04, "end": 1652.58, "word": " price", "probability": 0.91650390625}, {"start": 1652.58, "end": 1653.18, "word": " last", "probability": 0.8525390625}, {"start": 1653.18, "end": 1653.46, "word": " year", "probability": 0.93359375}, {"start": 1653.46, "end": 1653.94, "word": " was", "probability": 0.951171875}, {"start": 1653.94, "end": 1655.24, "word": " $100", "probability": 0.727294921875}, {"start": 1655.24, "end": 1656.5, "word": " with", "probability": 0.55908203125}, {"start": 1656.5, "end": 1656.82, "word": " the", "probability": 0.91455078125}, {"start": 1656.82, "end": 1657.08, "word": " same", "probability": 0.90576171875}, {"start": 1657.08, "end": 1657.46, "word": " standard", "probability": 0.92236328125}, {"start": 1657.46, "end": 1658.06, "word": " deviations.", "probability": 0.802978515625}, {"start": 1658.6, "end": 1659.18, "word": " It's", "probability": 0.945556640625}, {"start": 1659.18, "end": 1659.54, "word": " five.", "probability": 0.8876953125}, {"start": 1660.08, "end": 1660.24, "word": " Now", "probability": 0.95703125}, {"start": 1660.24, "end": 1660.56, "word": " let's", "probability": 0.852294921875}, {"start": 1660.56, "end": 1661.06, "word": " compare", "probability": 0.95458984375}, {"start": 1661.06, "end": 1662.36, "word": " which", "probability": 0.89794921875}, {"start": 1662.36, "end": 1662.68, "word": " one,", "probability": 0.7744140625}, {"start": 1663.06, "end": 1663.22, "word": " which", "probability": 0.9482421875}, {"start": 1663.22, "end": 1663.68, "word": " price", "probability": 0.8876953125}, {"start": 1663.68, "end": 1663.9, "word": " I", "probability": 0.82861328125}, {"start": 1663.9, "end": 1664.12, "word": " mean,", "probability": 0.96728515625}, {"start": 1664.24, "end": 1664.36, "word": " which", "probability": 0.94140625}, {"start": 1664.36, "end": 1664.66, "word": " stock", "probability": 0.720703125}, {"start": 1664.66, "end": 1665.1, "word": " price", "probability": 0.6953125}, {"start": 1665.1, "end": 1666.22, "word": " is", "probability": 0.796875}, {"start": 1666.22, "end": 1666.48, "word": " more", "probability": 0.93359375}, {"start": 1666.48, "end": 1666.96, "word": " spread", "probability": 0.93798828125}, {"start": 1666.96, "end": 1667.74, "word": " than", "probability": 0.93115234375}, {"start": 1667.74, "end": 1667.94, "word": " the", "probability": 0.91943359375}, {"start": 1667.94, "end": 1668.2, "word": " other", "probability": 0.8818359375}, {"start": 1668.2, "end": 1668.46, "word": " one.", "probability": 0.9267578125}, {"start": 1668.68, "end": 1668.86, "word": " I", "probability": 0.98779296875}, {"start": 1668.86, "end": 1669.06, "word": " mean,", "probability": 0.96484375}, {"start": 1669.26, "end": 1669.64, "word": " which", "probability": 0.94677734375}, {"start": 1669.64, "end": 1669.92, "word": " one", "probability": 0.93115234375}, {"start": 1669.92, "end": 1670.34, "word": " has", "probability": 0.947265625}], "temperature": 1.0}, {"id": 65, "seek": 169926, "start": 1671.18, "end": 1699.26, "text": " big gaps between the values and the mean. I mean, which values are concentrated around each other, stack A, price of stack A or stack B. Just for simple calculation, CV for stack A is just S over X bar multiplied by 100. That will gives 5 divided by 50 times 100 gives 10%. So the coefficient of variation in this case is 10.", "tokens": [955, 15031, 1296, 264, 4190, 293, 264, 914, 13, 286, 914, 11, 597, 4190, 366, 21321, 926, 1184, 661, 11, 8630, 316, 11, 3218, 295, 8630, 316, 420, 8630, 363, 13, 1449, 337, 2199, 17108, 11, 22995, 337, 8630, 316, 307, 445, 318, 670, 1783, 2159, 17207, 538, 2319, 13, 663, 486, 2709, 1025, 6666, 538, 2625, 1413, 2319, 2709, 1266, 6856, 407, 264, 17619, 295, 12990, 294, 341, 1389, 307, 1266, 13], "avg_logprob": -0.20344172599347862, "compression_ratio": 1.4954128440366972, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 1671.18, "end": 1671.56, "word": " big", "probability": 0.41796875}, {"start": 1671.56, "end": 1672.0, "word": " gaps", "probability": 0.89013671875}, {"start": 1672.0, "end": 1672.78, "word": " between", "probability": 0.86572265625}, {"start": 1672.78, "end": 1673.38, "word": " the", "probability": 0.90966796875}, {"start": 1673.38, "end": 1673.9, "word": " values", "probability": 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1778.93, "text": " And finally coefficient of variation. Next topic talks about z-score. 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Today we'll talk just about z-score, later we'll talk about something else. And z-score sometimes called standardized z-score. Standardized value or standardized score. 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To compute the z-score by data value, subtract the mean and divide by the standard deviation. 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So this score is the distance x minus x bar then divided by standard deviation. Now do you think what are the signs of this score? 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Now, what's the meaning of z-score? The z-score is the number of standard deviations a data value is from the mean. 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I mean, if you want to examine if the data is outlier or not. Now the rule of thumb is, rule in general, a data value is considered an extreme outlier if its z-score is less than negative three or greater than three. 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this one was one. So the question is, does 75 outlier or not? 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In this case, the point is suspected to be extreme outlier, otherwise it's okay. Now my z-score is one, so one lies between minus three and plus three, so the point is not an outlier. So it's so easy to determine if the point is outlier or not, just look at z-score. 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Otherwise, the data is okay. The larger the absolute value of the z-score, the farther the data value is from the mean. That means suppose you have z-score of 3.5 and other one is 2.5. 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So again, this score", "tokens": [805, 13, 20, 11, 370, 341, 472, 307, 1412, 2158, 307, 3052, 490, 264, 914, 13, 407, 797, 11, 341, 6175], "avg_logprob": -0.33842328461733734, "compression_ratio": 1.04, "no_speech_prob": 0.0, "words": [{"start": 2244.07, "end": 2244.31, "word": " 3", "probability": 0.4052734375}, {"start": 2244.31, "end": 2244.75, "word": ".5,", "probability": 0.989990234375}, {"start": 2244.81, "end": 2244.93, "word": " so", "probability": 0.9267578125}, {"start": 2244.93, "end": 2245.17, "word": " this", "probability": 0.9375}, {"start": 2245.17, "end": 2245.49, "word": " one", "probability": 0.921875}, {"start": 2245.49, "end": 2246.81, "word": " is", "probability": 0.72705078125}, {"start": 2246.81, "end": 2247.29, "word": " data", "probability": 0.27685546875}, {"start": 2247.29, "end": 2247.73, "word": " value", "probability": 0.97509765625}, {"start": 2247.73, "end": 2248.31, "word": " is", "probability": 0.8984375}, {"start": 2248.31, "end": 2248.69, "word": " further", "probability": 0.485595703125}, {"start": 2248.69, "end": 2250.67, "word": " from", "probability": 0.88330078125}, {"start": 2250.67, "end": 2251.19, "word": " the", "probability": 0.87255859375}, {"start": 2251.19, "end": 2251.43, "word": " mean.", "probability": 0.75}, {"start": 2252.75, "end": 2253.53, "word": " So", "probability": 0.94384765625}, {"start": 2253.53, "end": 2253.85, "word": " again,", "probability": 0.8505859375}, {"start": 2254.23, "end": 2254.43, "word": " this", "probability": 0.85498046875}, {"start": 2254.43, "end": 2254.83, "word": " score", "probability": 0.79296875}], "temperature": 1.0}], "language": "en", "language_probability": 1.0, "duration": 2262.80775, "duration_after_vad": 2146.3418749999937} \ No newline at end of file diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/vioR30IO0qQ_postprocess.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/vioR30IO0qQ_postprocess.srt new file mode 100644 index 0000000000000000000000000000000000000000..fe5546405f6d861ca16ffd98945ad9d3aa35a2c0 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/vioR30IO0qQ_postprocess.srt @@ -0,0 +1,2820 @@ +1 +00:00:06,600 --> 00:00:10,640 +the sum and distribution of the sum and mean, and + +2 +00:00:10,640 --> 00:00:16,400 +we have produced two cases. The first one, if the + +3 +00:00:16,400 --> 00:00:20,320 +population is normal and conservative, in this + +4 +00:00:20,320 --> 00:00:24,580 +case, the sum and distribution of the sum and mean + +5 +00:00:24,580 --> 00:00:29,540 +is exactly normal, with mean of x bar equal the + +6 +00:00:29,540 --> 00:00:30,780 +whole population mean. + +7 +00:00:33,650 --> 00:00:38,050 +And sigma of x bar is called the standard error of + +8 +00:00:38,050 --> 00:00:43,870 +the sample mean given by sigma. Also, we mentioned + +9 +00:00:43,870 --> 00:00:47,950 +that the standard error of the sample mean is + +10 +00:00:47,950 --> 00:00:53,270 +always smaller than sigma. And also, as m + +11 +00:00:53,270 --> 00:00:56,610 +increases, the standard error of x bar increases. + +12 +00:00:56,790 --> 00:01:00,450 +So there is a gorgeous negative relationship. + +13 +00:01:01,360 --> 00:01:04,840 +between our fingers, relationship between the + +14 +00:01:04,840 --> 00:01:08,740 +standard error of x bar and the sample size. + +15 +00:01:09,300 --> 00:01:13,680 +That's when the operation is normally distributed. + +16 +00:01:15,540 --> 00:01:19,860 +So again, in this case, the new z score is given + +17 +00:01:19,860 --> 00:01:23,780 +by this equation. Here, we replace sigma by sigma + +18 +00:01:23,780 --> 00:01:27,700 +of x bar. So z score is given by x bar minus the + +19 +00:01:27,700 --> 00:01:32,880 +mean divided by sigma over root n. The second + +20 +00:01:32,880 --> 00:01:40,780 +case, if the population is not normal, in this + +21 +00:01:40,780 --> 00:01:45,140 +case we can apply the central limit theorem, and + +22 +00:01:45,140 --> 00:01:48,260 +this theorem can be applied if the sample size is + +23 +00:01:48,260 --> 00:01:52,500 +large enough. So if N is large, in this case, we + +24 +00:01:52,500 --> 00:01:55,580 +can say that the sampling distribution of the + +25 +00:01:55,580 --> 00:01:59,080 +sample mean is approximately normally distributed + +26 +00:01:59,080 --> 00:02:04,120 +as long as the sample size is large enough. Now, + +27 +00:02:04,480 --> 00:02:08,460 +how large is large enough? We mentioned that for + +28 +00:02:08,460 --> 00:02:13,440 +most distributions, N above 30 will give sampling + +29 +00:02:13,440 --> 00:02:16,280 +distribution that is nearly symmetric or normal. + +30 +00:02:17,730 --> 00:02:20,210 +But on the other hand, for fairly symmetrical + +31 +00:02:20,210 --> 00:02:25,690 +distribution, and above 15 will usually give some + +32 +00:02:25,690 --> 00:02:29,790 +distribution is almost normal. So we have three + +33 +00:02:29,790 --> 00:02:34,290 +cases. For most distributions, we need large + +34 +00:02:34,290 --> 00:02:38,370 +sample to be in above 30. For symmetric + +35 +00:02:38,370 --> 00:02:43,530 +distributions, in above 15. But if the population + +36 +00:02:43,530 --> 00:02:48,030 +is normally distributed, then regardless of the + +37 +00:02:48,030 --> 00:02:50,830 +sample size, the sampling distribution of the + +38 +00:02:50,830 --> 00:02:54,170 +sample mean is always normally distributed. So + +39 +00:02:54,170 --> 00:02:58,440 +here, it's nearly symmetric. almost symmetric and + +40 +00:02:58,440 --> 00:03:00,480 +the other one is always symmetric. So we have to + +41 +00:03:00,480 --> 00:03:04,760 +distinguish between these three cases. And I think + +42 +00:03:04,760 --> 00:03:10,080 +we gave one example. Now let's move to another + +43 +00:03:10,080 --> 00:03:14,380 +part. As we mentioned in the beginning of this + +44 +00:03:14,380 --> 00:03:19,980 +class, data has two types mainly, quantitative and + +45 +00:03:19,980 --> 00:03:24,100 +qualitative. Quantitative, for example, your + +46 +00:03:24,100 --> 00:03:29,800 +score. Score is numerical value, 60, 65, and so + +47 +00:03:29,800 --> 00:03:33,180 +on. In this case, we can talk about assembly. + +48 +00:03:35,560 --> 00:03:46,400 +So first, for quantitative data, + +49 +00:03:47,020 --> 00:03:49,320 +we talk about assembly. + +50 +00:03:55,440 --> 00:04:01,780 +Number two, if we talk about, if we talk about + +51 +00:04:01,780 --> 00:04:09,900 +qualitative data, in this case we talk about + +52 +00:04:09,900 --> 00:04:15,760 +sample of + +53 +00:04:15,760 --> 00:04:16,100 +water. + +54 +00:04:19,220 --> 00:04:24,110 +In this case, proportion is what's the sampling + +55 +00:04:24,110 --> 00:04:28,770 +distribution of the sample proportion. So we are + +56 +00:04:28,770 --> 00:04:35,690 +looking for the sampling distribution + +57 +00:04:35,690 --> 00:04:46,410 +of the sample population + +58 +00:04:46,410 --> 00:04:51,190 +having some characteristic. For example, let's buy + +59 +00:04:52,160 --> 00:05:02,820 +denotes number of smokers among + +60 +00:05:02,820 --> 00:05:03,620 +females. + +61 +00:05:06,500 --> 00:05:12,280 +So let's use Y as number of smokers among all + +62 +00:05:12,280 --> 00:05:19,560 +females. All females have IUDs. So here we are + +63 +00:05:19,560 --> 00:05:24,560 +talking about My population is IUG students, but + +64 +00:05:24,560 --> 00:05:30,240 +here we're focused on female students. And pi is + +65 +00:05:30,240 --> 00:05:33,840 +number of smokers among all female students. + +66 +00:05:36,820 --> 00:05:39,660 +Now sampling proportion, so my characteristic here + +67 +00:05:39,660 --> 00:05:46,000 +is smokers. Maybe your characteristic is person or + +68 +00:05:46,000 --> 00:05:48,800 +student's number. + +69 +00:06:01,190 --> 00:06:08,130 +proportion of students have + +70 +00:06:08,130 --> 00:06:12,790 +scores above + +71 +00:06:12,790 --> 00:06:19,210 +80. So by proportion of students have scores above + +72 +00:06:19,210 --> 00:06:23,430 +80, and so on. So here, in this case, your + +73 +00:06:23,430 --> 00:06:27,810 +characteristic is scores above 80, and so on. + +74 +00:06:29,300 --> 00:06:33,120 +Simple proportion provides an estimate of Pi, + +75 +00:06:33,340 --> 00:06:36,780 +because generally speaking, Pi is not given, or is + +76 +00:06:36,780 --> 00:06:40,900 +unknown, similar as Mu. And Mu is the population + +77 +00:06:40,900 --> 00:06:44,840 +mean, is always unknown, and we are interested to + +78 +00:06:44,840 --> 00:06:48,680 +estimate the population mean. In this case, the + +79 +00:06:48,680 --> 00:06:53,780 +point estimate of Pi is P. So P is the point + +80 +00:06:53,780 --> 00:06:57,980 +estimate, sample, a proportion, + +81 +00:07:00,590 --> 00:07:05,150 +which is the point estimate of Y. Now, for + +82 +00:07:05,150 --> 00:07:07,490 +example, let's go back to the proportion of + +83 +00:07:07,490 --> 00:07:11,350 +smokers among all female students at IUG. Let's + +84 +00:07:11,350 --> 00:07:16,510 +assume that number of females at IUG, for example, + +85 +00:07:16,650 --> 00:07:17,970 +is 1,000 students. + +86 +00:07:23,570 --> 00:07:29,020 +And we talk here around a sample of 1,000. We know + +87 +00:07:29,020 --> 00:07:32,420 +that there are too many female students at IUG. + +88 +00:07:33,040 --> 00:07:35,980 +Suppose we select a random sample of size 1,000. + +89 +00:07:38,040 --> 00:07:44,940 +So that's the sample size. So here, we selected a + +90 +00:07:44,940 --> 00:07:51,380 +random sample of size 1,000 from the population of + +91 +00:07:51,380 --> 00:07:55,840 +females. And suppose we found that number of + +92 +00:07:55,840 --> 00:08:03,640 +smokers among these equal one hundred. So out of + +93 +00:08:03,640 --> 00:08:08,040 +one thousand, one hundred students are smoking. + +94 +00:08:08,820 --> 00:08:11,840 +Now what's the percentage of smokers in this case? + +95 +00:08:13,220 --> 00:08:16,700 +So P equals this one hundred divided by a + +96 +00:08:16,700 --> 00:08:20,760 +thousand, so that's ten percent or point one. + +97 +00:08:25,220 --> 00:08:32,500 +Let's assume that X denotes the number of items in + +98 +00:08:32,500 --> 00:08:34,900 +the sample having the characteristic of interest. + +99 +00:08:35,300 --> 00:08:39,920 +In this case, X number of smokers in your sample, + +100 +00:08:40,040 --> 00:08:44,820 +so X equals 100. N is 1000, so proportion is + +101 +00:08:44,820 --> 00:08:53,900 +always equals X divided by N, X number of items in + +102 +00:08:53,900 --> 00:08:57,580 +the characteristic you have. N is the sample size, + +103 +00:08:57,700 --> 00:09:01,240 +so B equals X over N. Sometimes it might be X + +104 +00:09:01,240 --> 00:09:05,800 +equals zero. So for example suppose I select a + +105 +00:09:05,800 --> 00:09:12,160 +random sample of size 1,000 and none of them So in + +106 +00:09:12,160 --> 00:09:15,820 +this case, x equals zero, that means the + +107 +00:09:15,820 --> 00:09:20,500 +percentage equals zero. So we can have zero + +108 +00:09:20,500 --> 00:09:24,300 +percentage if x equals zero. Also in the upper + +109 +00:09:24,300 --> 00:09:27,980 +limit, suppose here we are talking about students + +110 +00:09:27,980 --> 00:09:32,020 +have scores above 80. And we select a random + +111 +00:09:32,020 --> 00:09:36,100 +sample, and that sample has All of the students + +112 +00:09:36,100 --> 00:09:41,520 +have scores above 80, so that means x equals 1000, + +113 +00:09:42,380 --> 00:09:45,720 +so percentage is 1. So 1000 divided by 1000 is 1. + +114 +00:09:46,220 --> 00:09:50,460 +So the minimum value of B is 0, the maximum is 1, + +115 +00:09:50,600 --> 00:09:53,580 +that means B ranges from 0 to 1. So it could be 0, + +116 +00:09:53,640 --> 00:10:01,240 +it could be 1, but almost B is between 0 and 1. B + +117 +00:10:01,240 --> 00:10:01,940 +is the proportion. + +118 +00:10:04,610 --> 00:10:07,030 +So, B is, in this case, is approximately + +119 +00:10:07,030 --> 00:10:10,190 +distributed as normal distribution when N is + +120 +00:10:10,190 --> 00:10:15,130 +large. But again, how large is large enough, we'll + +121 +00:10:15,130 --> 00:10:18,830 +talk about later. So, B is approximately normal + +122 +00:10:18,830 --> 00:10:24,630 +distributed when N is large. Here, we assume + +123 +00:10:24,630 --> 00:10:29,230 +sampling distribution with replacement if the + +124 +00:10:29,230 --> 00:10:32,660 +population is finite. And sampling without + +125 +00:10:32,660 --> 00:10:35,580 +replacement from infinite population. Finite + +126 +00:10:35,580 --> 00:10:41,520 +population means limited, has fixed size. Infinite + +127 +00:10:41,520 --> 00:10:46,940 +population means unlimited. Because if we select a + +128 +00:10:46,940 --> 00:10:49,560 +random sample without replacement from infinite + +129 +00:10:49,560 --> 00:10:55,540 +population, for example suppose N equals 10,000. + +130 +00:10:57,300 --> 00:11:00,480 +In this case, each person has a chance of being + +131 +00:11:00,480 --> 00:11:05,460 +selected one over 10,000. Let's assume that we + +132 +00:11:05,460 --> 00:11:10,760 +select someone without replacement. So in this + +133 +00:11:10,760 --> 00:11:14,000 +case, if we select one with a proportion of one + +134 +00:11:14,000 --> 00:11:17,820 +over 10,000, it means the second one has a chance + +135 +00:11:17,820 --> 00:11:22,340 +of one divided by 9999. + +136 +00:11:23,000 --> 00:11:25,840 +And the difference between these two is very + +137 +00:11:25,840 --> 00:11:30,250 +small. For this reason, we can select a random + +138 +00:11:30,250 --> 00:11:34,850 +sample without replacement if the population size + +139 +00:11:34,850 --> 00:11:41,310 +is large, because the probability to select an + +140 +00:11:41,310 --> 00:11:45,610 +item from that population remains the same, or + +141 +00:11:45,610 --> 00:11:48,490 +approximately the same, because 1 over 10,000 is + +142 +00:11:48,490 --> 00:11:51,970 +roughly equal to 1 over 9999. + +143 +00:11:54,060 --> 00:11:57,440 +Now the two conditions we have to check in order + +144 +00:11:57,440 --> 00:12:01,900 +to apply or in order to say that B is + +145 +00:12:01,900 --> 00:12:04,740 +approximately normally distributed. The two + +146 +00:12:04,740 --> 00:12:10,020 +conditions are n times pi is at least 5 and we + +147 +00:12:10,020 --> 00:12:15,660 +have n, pi is given. Also, n times 1 minus pi is + +148 +00:12:15,660 --> 00:12:19,380 +at least 5. So there are two conditions should be + +149 +00:12:19,380 --> 00:12:24,260 +satisfied in order to use the normal distribution. + +150 +00:12:24,900 --> 00:12:31,200 +Again, the first one, n times pi is at least 5, n + +151 +00:12:31,200 --> 00:12:36,880 +times 1 minus pi is also at least 5. If these two + +152 +00:12:36,880 --> 00:12:41,600 +conditions are satisfied, then you can say that B, + +153 +00:12:41,780 --> 00:12:44,520 +or the sample proportion, is approximately + +154 +00:12:44,520 --> 00:12:47,780 +normally distributed, so that's the shape of the + +155 +00:12:47,780 --> 00:12:54,900 +distribution, with mean of? Mu of p equals pi, so + +156 +00:12:54,900 --> 00:12:59,180 +the mean of p equals pi, with sigma of p equals + +157 +00:12:59,180 --> 00:13:04,100 +square root of + +158 +00:13:04,100 --> 00:13:09,160 +pi times 1 minus pi, divided by n. So that's the + +159 +00:13:09,160 --> 00:13:14,120 +mean of p is always pi, and sigma of p equals + +160 +00:13:14,120 --> 00:13:16,940 +square root of pi times 1 minus pi divided by n. + +161 +00:13:18,480 --> 00:13:23,810 +Let's compare this result. with the sampling + +162 +00:13:23,810 --> 00:13:28,030 +distribution of the sample mean. If you remember, + +163 +00:13:28,610 --> 00:13:36,990 +the mean of x bar was mu. And here, the statistic + +164 +00:13:36,990 --> 00:13:41,230 +is the sample mean, and the mean of x bar is mu. + +165 +00:13:42,330 --> 00:13:45,430 +On the other hand, the mean of the statistic, my + +166 +00:13:45,430 --> 00:13:49,010 +statistic is the sample proportion is five. So in + +167 +00:13:49,010 --> 00:13:52,930 +the two cases, the mean equals the true value. I + +168 +00:13:52,930 --> 00:13:55,910 +mean, the true parameter. So in this case, the + +169 +00:13:55,910 --> 00:13:59,510 +mean of x bar equal mu, and mu of p equal pi. On + +170 +00:13:59,510 --> 00:14:03,030 +the other hand, the sigma of x bar was sigma over + +171 +00:14:03,030 --> 00:14:08,310 +root n. This looks similar, because this one's + +172 +00:14:08,310 --> 00:14:12,930 +just sigma squared over n. But here, sigma squared + +173 +00:14:12,930 --> 00:14:14,630 +is pi times 1 minus pi. + +174 +00:14:18,430 --> 00:14:21,430 +So again, the standard distribution of B is + +175 +00:14:21,430 --> 00:14:24,290 +roughly symmetric or approximately normally + +176 +00:14:24,290 --> 00:14:30,810 +distributed if these two conditions are satisfied + +177 +00:14:30,810 --> 00:14:34,430 +and mu of B equals pi and sigma of B equals square + +178 +00:14:34,430 --> 00:14:38,230 +root of pi times 1 minus pi over n. Now, this + +179 +00:14:38,230 --> 00:14:44,490 +score, as we mentioned before, the standard + +180 +00:14:44,490 --> 00:14:47,430 +equation is given by x minus the mean of x divided + +181 +00:14:47,430 --> 00:14:52,550 +by sigma. Last time, we talked about semi + +182 +00:14:52,550 --> 00:14:53,730 +-distribution of x bar. + +183 +00:14:56,570 --> 00:15:00,610 +So your z score + +184 +00:15:00,610 --> 00:15:05,050 +equals x bar minus the mean of x bar divided by + +185 +00:15:05,050 --> 00:15:11,250 +sigma of x bar. So that's x bar minus mu, because + +186 +00:15:11,250 --> 00:15:16,050 +the mean of x bar is mu, divided by sigma of x + +187 +00:15:16,050 --> 00:15:18,810 +bar, sigma over root n. + +188 +00:15:22,620 --> 00:15:27,720 +Now let's compute z-score for p. So z equals p + +189 +00:15:27,720 --> 00:15:30,400 +minus the mean of p divided by sigma. + +190 +00:15:33,680 --> 00:15:39,720 +So in this case, z equals the mean of p, which is + +191 +00:15:39,720 --> 00:15:48,060 +pi, divided by pi, 1 minus pi divided by p. So in + +192 +00:15:48,060 --> 00:15:52,090 +this case, the new formula for the z-score is + +193 +00:15:52,090 --> 00:15:59,530 +given by pi minus one. So the zero zero score is + +194 +00:15:59,530 --> 00:16:04,610 +equal to pi minus, p minus pi divided by root pi + +195 +00:16:04,610 --> 00:16:08,390 +times one minus pi divided by small size n. + +196 +00:16:18,270 --> 00:16:20,450 +Now let's do one example. + +197 +00:16:23,240 --> 00:16:29,380 +The example says that if the true proportion of + +198 +00:16:29,380 --> 00:16:37,620 +waters who support proposition A is 40%. So in + +199 +00:16:37,620 --> 00:16:44,420 +this case, pi is 40%. The question is, what's the + +200 +00:16:44,420 --> 00:16:50,820 +probability that A sample of size 200, so we + +201 +00:16:50,820 --> 00:16:56,220 +select a random sample of 200, yields a sample + +202 +00:16:56,220 --> 00:17:02,880 +proportion between 40% and 45%. So in this case, + +203 +00:17:02,940 --> 00:17:10,320 +we are looking for the probability between 40% and + +204 +00:17:10,320 --> 00:17:16,870 +45%. Now, if the problem says, The true + +205 +00:17:16,870 --> 00:17:24,210 +proportion, it means pi. The true mean, it means + +206 +00:17:24,210 --> 00:17:28,210 +also mu. So true, it means we are talking about + +207 +00:17:28,210 --> 00:17:32,670 +the entire population. So true proportion, it + +208 +00:17:32,670 --> 00:17:36,050 +means the population proportion. So the word true + +209 +00:17:36,050 --> 00:17:41,590 +in statistics in this case means population. + +210 +00:17:42,210 --> 00:17:47,300 +So the population proportion equals 0.4, so pi is + +211 +00:17:47,300 --> 00:17:51,880 +equal to 0.4. Now, if pi equals 0.4 and the sample + +212 +00:17:51,880 --> 00:17:58,160 +size is 200, what's the probability that this + +213 +00:17:58,160 --> 00:18:03,500 +sample proportion lies between 40 and 35 percent? + +214 +00:18:05,460 --> 00:18:11,500 +Now, in order to use this score, you have to check + +215 +00:18:11,500 --> 00:18:15,870 +the two assumptions. But since N is large enough, + +216 +00:18:17,170 --> 00:18:22,870 +N is 200. For sure the two conditions most of the + +217 +00:18:22,870 --> 00:18:25,890 +time are satisfied. But you have to check in order + +218 +00:18:25,890 --> 00:18:35,510 +to apply this z-score. Let's see first how + +219 +00:18:35,510 --> 00:18:40,550 +can we check the two conditions. Now, N equals + +220 +00:18:40,550 --> 00:18:40,970 +200. + +221 +00:18:43,690 --> 00:18:52,070 +Pi is 40%, so N times Pi is + +222 +00:18:52,070 --> 00:18:59,050 +80. 200 times 0.4 is 80%. So the first one is + +223 +00:18:59,050 --> 00:19:04,110 +satisfied, the first condition. Can you figure out + +224 +00:19:04,110 --> 00:19:07,210 +the value of N times 1 minus Pi without + +225 +00:19:07,210 --> 00:19:16,110 +calculation? 200 minus 80. So this value is 200 + +226 +00:19:16,110 --> 00:19:24,730 +minus 80. Or just 200 times 1 minus 0.4. 200 times + +227 +00:19:24,730 --> 00:19:29,890 +0.6 is 120. So if you just find the first one and + +228 +00:19:29,890 --> 00:19:35,650 +times 5, the other one is n minus 80 will give the + +229 +00:19:35,650 --> 00:19:38,170 +other condition. So now the two conditions are + +230 +00:19:38,170 --> 00:19:43,400 +satisfied. Then we can use the z-score. I mean, we + +231 +00:19:43,400 --> 00:19:47,880 +can say that the sampling proportion is normally + +232 +00:19:47,880 --> 00:19:54,980 +distributed with mean equal pi, always pi, and pi + +233 +00:19:54,980 --> 00:20:02,700 +is given as 40%. And the sigma of p equals square + +234 +00:20:02,700 --> 00:20:08,360 +root of pi 1 minus pi divided by n. That's your + +235 +00:20:08,360 --> 00:20:15,030 +square root of 0.4 times. divided by 200, and that + +236 +00:20:15,030 --> 00:20:18,830 +will give 0 + +237 +00:20:18,830 --> 00:20:22,810 +.0346. + +238 +00:20:26,210 --> 00:20:29,250 +So, the first step, we have to check the two + +239 +00:20:29,250 --> 00:20:33,730 +conditions. Second step, compute the mean of P, + +240 +00:20:33,970 --> 00:20:42,270 +sigma of P. Now, finally, find the z-score of your + +241 +00:20:42,270 --> 00:20:45,970 +problem, here he asks about what's the probability + +242 +00:20:45,970 --> 00:20:54,210 +that B lies between 0 + +243 +00:20:54,210 --> 00:20:58,430 +.4 and 0.45 percent. So we have to find the score + +244 +00:20:58,430 --> 00:21:05,490 +for 0.4. So that's 0.4 minus again the mean of B + +245 +00:21:05,490 --> 00:21:11,550 +which is again 0.4, so that's valid. Divide by 0 + +246 +00:21:11,550 --> 00:21:26,210 +.0346. So again, b is 0.4. This is pi. And pi, in + +247 +00:21:26,210 --> 00:21:32,150 +this case, is always 0.4. And this is your b. So 0 + +248 +00:21:32,150 --> 00:21:37,350 +.4 minus 0.4 divided by 0.0346 plus 1 equals 0. + +249 +00:21:38,600 --> 00:21:44,000 +The other z-score, for the other value, here, 0 + +250 +00:21:44,000 --> 00:21:44,540 +.45. + +251 +00:21:50,340 --> 00:21:53,360 +And this gives 1.4. + +252 +00:21:56,900 --> 00:22:01,400 +After that, this problem is converted to + +253 +00:22:01,400 --> 00:22:06,840 +standardized normal value. So instead of P, we + +254 +00:22:06,840 --> 00:22:14,920 +have Z. between 0 and 1.44. That's all for using + +255 +00:22:14,920 --> 00:22:21,540 +Chapter 7. Now, to complete your answer, you have + +256 +00:22:21,540 --> 00:22:26,920 +to use Chapter 6. Now, V is between 0 and 1.44. As + +257 +00:22:26,920 --> 00:22:33,160 +we mentioned many times, the area here equals, + +258 +00:22:33,660 --> 00:22:39,960 +I mean, the dashed area equals V of Z. Less than 1 + +259 +00:22:39,960 --> 00:22:45,200 +.44 minus 0.5. Exactly minus 0.5, because the area + +260 +00:22:45,200 --> 00:22:50,580 +to the left of 0 is 0.5. Now by using the normal + +261 +00:22:50,580 --> 00:22:53,980 +table, or standard normal table, P of Z is smaller + +262 +00:22:53,980 --> 00:22:59,780 +than 1.44 is given by 9251. + +263 +00:23:01,540 --> 00:23:05,840 +Just check your table, minus 0.5, so the final + +264 +00:23:05,840 --> 00:23:15,340 +result is 0.4251. That means around 42 percent, 0 + +265 +00:23:15,340 --> 00:23:22,280 +.51, that the proportion lie between 40 and 45 + +266 +00:23:22,280 --> 00:23:28,000 +percent. So that's how can we compute the + +267 +00:23:28,000 --> 00:23:32,080 +probabilities underneath the normal curve if we + +268 +00:23:32,080 --> 00:23:34,680 +are interested in the sample proportion. + +269 +00:23:39,630 --> 00:23:45,870 +Now, in case if one of these conditions is not + +270 +00:23:45,870 --> 00:23:51,510 +satisfied, we cannot use this code unless we + +271 +00:23:51,510 --> 00:23:54,590 +increase the sample size. So here, the two + +272 +00:23:54,590 --> 00:23:56,790 +conditions should be satisfied. For example, + +273 +00:23:56,950 --> 00:24:00,910 +suppose n + +274 +00:24:00,910 --> 00:24:13,390 +equals 200. But this probability of Pi is + +275 +00:24:13,390 --> 00:24:17,570 +1%. Suppose + +276 +00:24:17,570 --> 00:24:26,250 +again N is 200 and Pi is 1%. So this condition is + +277 +00:24:26,250 --> 00:24:33,090 +not satisfied because N times Pi is just 2. So you + +278 +00:24:33,090 --> 00:24:35,450 +cannot use the z-score, because it should be at + +279 +00:24:35,450 --> 00:24:38,810 +least 5. So even if the sample size is large, + +280 +00:24:39,390 --> 00:24:42,070 +maybe one of the conditions is not satisfied + +281 +00:24:42,070 --> 00:24:46,710 +because you have a small true proportion. So if + +282 +00:24:46,710 --> 00:24:49,470 +the true proportion is very, very small, in this + +283 +00:24:49,470 --> 00:24:53,750 +case you have to increase your sample size. Make + +284 +00:24:53,750 --> 00:24:56,270 +sense? Any question? + +285 +00:24:58,950 --> 00:25:05,730 +Now I will discuss some practice problems for + +286 +00:25:05,730 --> 00:25:07,310 +chapter 7. + +287 +00:25:09,450 --> 00:25:16,130 +Let's do some practice problems for chapter 7. I + +288 +00:25:16,130 --> 00:25:17,770 +will give some + +289 +00:25:28,710 --> 00:25:34,150 +We have four choices. Parameters. Now, same + +290 +00:25:34,150 --> 00:25:36,390 +distribution always describes the same + +291 +00:25:36,390 --> 00:25:42,350 +distribution of statistics. So, not parameters, we + +292 +00:25:42,350 --> 00:25:45,970 +have to choose the statistics. Same distribution + +293 +00:25:45,970 --> 00:25:51,250 +describes distribution of always statistics. Next. + +294 +00:25:53,490 --> 00:25:56,890 +The central limit theorem is important in + +295 +00:25:56,890 --> 00:26:01,310 +statistics because we have four choices. Let's see + +296 +00:26:01,310 --> 00:26:07,810 +why C is correct. Part A says, for a large N, it + +297 +00:26:07,810 --> 00:26:11,550 +says that the population is approximately normal. + +298 +00:26:12,710 --> 00:26:16,210 +We cannot say the population is normal. The + +299 +00:26:16,210 --> 00:26:19,510 +standard distribution of a statistic is + +300 +00:26:19,510 --> 00:26:24,410 +approximately normal. So, for this reason, part A + +301 +00:26:24,410 --> 00:26:28,490 +is incorrect. For the other one, for any + +302 +00:26:28,490 --> 00:26:34,690 +population, so regardless of the population, it + +303 +00:26:34,690 --> 00:26:38,950 +says the sample distribution, the sample mean is + +304 +00:26:38,950 --> 00:26:42,730 +approximately normal regardless of the sample + +305 +00:26:42,730 --> 00:26:45,830 +size. This is incorrect because it says for any + +306 +00:26:45,830 --> 00:26:53,940 +population. So P is incorrect. But if it says for + +307 +00:26:53,940 --> 00:26:58,180 +normal population, then we can say the sampling + +308 +00:26:58,180 --> 00:27:00,920 +distribution of the sample mean is approximately + +309 +00:27:00,920 --> 00:27:04,820 +normal regardless of the sample size. But it says + +310 +00:27:04,820 --> 00:27:09,320 +for any, so that means incorrect. Now part D, for + +311 +00:27:09,320 --> 00:27:13,500 +example, for any size sample, it means regardless + +312 +00:27:13,500 --> 00:27:17,480 +of the sample size, the theorem says the sample + +313 +00:27:17,480 --> 00:27:19,840 +distribution of the sample mean is approximately + +314 +00:27:19,840 --> 00:27:24,520 +normal. That's incorrect. Part C, for large N, it + +315 +00:27:24,520 --> 00:27:26,820 +says the sample distribution of the sample mean is + +316 +00:27:26,820 --> 00:27:31,110 +approximately Normal, regardless of the shape of + +317 +00:27:31,110 --> 00:27:34,310 +the distribution, that's true, because here we + +318 +00:27:34,310 --> 00:27:37,170 +have large sample size. So regardless of the + +319 +00:27:37,170 --> 00:27:39,690 +population, the shape of the population, we can + +320 +00:27:39,690 --> 00:27:42,830 +say that the sample distribution of the sample + +321 +00:27:42,830 --> 00:27:48,090 +mean is approximately normally distributed. Number + +322 +00:27:48,090 --> 00:27:52,610 +three. Which of the following statements about the + +323 +00:27:52,610 --> 00:27:54,750 +sample distribution of the sample mean is + +324 +00:27:54,750 --> 00:27:58,860 +incorrect? Here we are looking for the incorrect + +325 +00:27:58,860 --> 00:27:59,480 +statement. + +326 +00:28:02,780 --> 00:28:06,940 +Look at A, the sample distribution of the sample + +327 +00:28:06,940 --> 00:28:10,440 +mean is approximately normal whenever the sample + +328 +00:28:10,440 --> 00:28:14,620 +size is sufficiently large. This is correct. B, + +329 +00:28:14,740 --> 00:28:16,920 +the sample distribution of the sample mean is + +330 +00:28:16,920 --> 00:28:20,360 +generated by repeatedly taking samples of size N + +331 +00:28:20,360 --> 00:28:24,500 +and computing the sample means. That's also + +332 +00:28:24,500 --> 00:28:28,440 +correct. The sample mean, I'm sorry, the mean of + +333 +00:28:28,440 --> 00:28:30,460 +the sample distribution of the sample mean is + +334 +00:28:30,460 --> 00:28:33,680 +always equal to mu, that's correct, because we + +335 +00:28:33,680 --> 00:28:37,340 +know that the mean of x bar is a mu. Now, the + +336 +00:28:37,340 --> 00:28:41,020 +standard deviation of the sampling distribution of + +337 +00:28:41,020 --> 00:28:45,100 +the sample mean is equal to sigma. And we, yes, + +338 +00:28:45,240 --> 00:28:48,780 +exactly, the standard error, which is sigma of x + +339 +00:28:48,780 --> 00:28:56,330 +bar, not sigma, equals sigma Divide by root n. For + +340 +00:28:56,330 --> 00:28:59,570 +this reason, this one is incorrect statement. + +341 +00:29:00,290 --> 00:29:07,210 +Because we have to divide this sigma by square + +342 +00:29:07,210 --> 00:29:12,790 +root of n. Number four. + +343 +00:29:16,390 --> 00:29:23,340 +Which of the following is true? about the sampling + +344 +00:29:23,340 --> 00:29:28,040 +distribution of the sample mean. Again, the mean + +345 +00:29:28,040 --> 00:29:32,200 +of the sampling distribution is always Mu. That's + +346 +00:29:32,200 --> 00:29:34,600 +correct statement. + +347 +00:29:35,860 --> 00:29:39,520 +Now look at V. The standard deviation of the + +348 +00:29:39,520 --> 00:29:42,700 +sampling distribution is always Sigma. Incorrect + +349 +00:29:42,700 --> 00:29:47,540 +because Sigma over root N. Part C, the shape of + +350 +00:29:47,540 --> 00:29:50,000 +the sampling distribution is always approximately + +351 +00:29:50,000 --> 00:29:54,650 +normal. If N is large, then we can say it's + +352 +00:29:54,650 --> 00:29:58,550 +approximately normal. All of the above are true is + +353 +00:29:58,550 --> 00:30:07,370 +incorrect. So that's number 6. + +354 +00:30:15,090 --> 00:30:22,610 +Look at number 10. Number 10. A telemarketer set + +355 +00:30:22,610 --> 00:30:27,130 +the company's computerized dialing system to + +356 +00:30:27,130 --> 00:30:33,910 +contact every 25th person listed in the local + +357 +00:30:33,910 --> 00:30:38,450 +telephone directory. So the company selects the + +358 +00:30:38,450 --> 00:30:45,510 +person that's in the 25th position. So the 25th + +359 +00:30:45,510 --> 00:30:49,600 +person is being selected. The other one is the + +360 +00:30:49,600 --> 00:30:55,940 +first item. The second item should be... + +361 +00:30:55,940 --> 00:31:01,120 +And your key is twenty-fifth. So one, two, three, + +362 +00:31:01,260 --> 00:31:05,440 +four. So number twenty-fifth is the first item. + +363 +00:31:08,500 --> 00:31:11,780 +Maybe you have something more. Then the second + +364 +00:31:11,780 --> 00:31:15,140 +item is number fifty and so on. + +365 +00:31:19,250 --> 00:31:26,650 +What sampling method was used? Systematic sample + +366 +00:31:26,650 --> 00:31:31,450 +because we chose the 50th person, then the second + +367 +00:31:31,450 --> 00:31:38,270 +one is the 50th, and so on. So 25, 50, 75, and so + +368 +00:31:38,270 --> 00:31:43,690 +on. Number 11, which of the following methods were + +369 +00:31:43,690 --> 00:31:49,280 +more likely be susceptible to ethical violation + +370 +00:31:49,280 --> 00:31:54,600 +when used to form conclusions about the entire + +371 +00:31:54,600 --> 00:31:55,360 +population. + +372 +00:31:57,740 --> 00:31:59,800 +Now, the correct answer is convenience sample. + +373 +00:32:01,260 --> 00:32:04,380 +Because number one, convenience sample is used + +374 +00:32:04,380 --> 00:32:10,520 +because it is easy, inexpensive, costly, and it's + +375 +00:32:10,520 --> 00:32:14,880 +used I mean, we select the sample if it is + +376 +00:32:14,880 --> 00:32:19,400 +convenient to the researcher by himself. But maybe + +377 +00:32:19,400 --> 00:32:22,580 +in this case, we have biased collection. For this + +378 +00:32:22,580 --> 00:32:27,260 +reason, this is incorrect sampling. Most of the + +379 +00:32:27,260 --> 00:32:32,880 +time, we are going to avoid using this technique + +380 +00:32:32,880 --> 00:32:39,560 +unless your sample is unbiased. Because if, for + +381 +00:32:39,560 --> 00:32:45,330 +example, suppose I love T of type A. + +382 +00:32:48,470 --> 00:32:52,170 +And my sample, I select a sample of size 20. + +383 +00:32:56,770 --> 00:33:02,430 +Since I love type A, I choose these 20 students or + +384 +00:33:02,430 --> 00:33:08,370 +20 persons that have, that like T of type A. That + +385 +00:33:08,370 --> 00:33:13,320 +means your sample It's convenient for you, but + +386 +00:33:13,320 --> 00:33:13,740 +it's biased. + +387 +00:33:16,860 --> 00:33:19,200 +Okay, so in this case it's called convenient + +388 +00:33:19,200 --> 00:33:24,740 +sample, so it will give incorrect results. So it's + +389 +00:33:24,740 --> 00:33:26,320 +convenient sample. + +390 +00:33:30,360 --> 00:33:34,900 +Let's do one, the other section, one of these + +391 +00:33:34,900 --> 00:33:39,160 +problems, true, false. Let's do some of these. + +392 +00:33:41,910 --> 00:33:45,110 +Now for a true and false problem, try to avoid + +393 +00:33:45,110 --> 00:33:49,370 +calculations as much as you can. Just solve the + +394 +00:33:49,370 --> 00:33:53,010 +problem without any computations. Maybe simple + +395 +00:33:53,010 --> 00:33:57,210 +calculations might be used, but don't use the + +396 +00:33:57,210 --> 00:34:00,890 +exact calculations because the problem asks just + +397 +00:34:00,890 --> 00:34:05,150 +true or false. So sometimes the problem makes + +398 +00:34:05,150 --> 00:34:07,630 +sense, the answer is true, so just say true + +399 +00:34:07,630 --> 00:34:12,990 +without doing the complete calculations. Because + +400 +00:34:12,990 --> 00:34:14,730 +you will waste time. Because as you know, we have + +401 +00:34:14,730 --> 00:34:18,990 +exam of just 60 minutes. And for true and false, I + +402 +00:34:18,990 --> 00:34:22,490 +expect your answer to be within, for example, 15 + +403 +00:34:22,490 --> 00:34:29,170 +seconds. Just read the problem, then figure your + +404 +00:34:29,170 --> 00:34:33,910 +answer. So in this case, sometimes you don't need + +405 +00:34:33,910 --> 00:34:38,000 +to do the exact calculations. But for the free + +406 +00:34:38,000 --> 00:34:40,840 +response problems you have to do the calculations. + +407 +00:34:41,000 --> 00:34:43,820 +But here just think about it a little bit and + +408 +00:34:43,820 --> 00:34:46,740 +within a few seconds you can figure out if it is + +409 +00:34:46,740 --> 00:34:50,680 +true or false. Now let's think about number one. + +410 +00:34:52,480 --> 00:34:55,700 +Now each of these problems I will ask all of you + +411 +00:34:55,700 --> 00:34:59,300 +to figure out the answer and I will give bonus, + +412 +00:34:59,500 --> 00:35:05,130 +one point for each one. Forget about the answer is + +413 +00:35:05,130 --> 00:35:10,530 +it true, I need explanation why is it true. Now + +414 +00:35:10,530 --> 00:35:17,490 +let's see. The amount of time it takes to complete + +415 +00:35:17,490 --> 00:35:22,750 +an examination has skewed left distribution with a + +416 +00:35:22,750 --> 00:35:28,210 +mean of 65 minutes and standard deviation of 8 + +417 +00:35:28,210 --> 00:35:28,610 +minutes. + +418 +00:35:31,460 --> 00:35:36,540 +If 64 students were randomly sampled. So we select + +419 +00:35:36,540 --> 00:35:41,860 +a random sample of 64. Now we ask about the + +420 +00:35:41,860 --> 00:35:47,260 +probability that the sample mean of the sampled + +421 +00:35:47,260 --> 00:35:51,960 +students exceeds 71 minutes is approximately zero. + +422 +00:35:52,980 --> 00:35:59,900 +Probability that the sample mean of the 64 + +423 +00:35:59,900 --> 00:36:00,740 +students + +424 +00:36:03,240 --> 00:36:08,540 +score above 71 this probability is approximately + +425 +00:36:08,540 --> 00:36:12,320 +zero so + +426 +00:36:12,320 --> 00:36:16,980 +the problem says the amount of time it takes to + +427 +00:36:16,980 --> 00:36:21,320 +complete the final examination is not normal it's + +428 +00:36:21,320 --> 00:36:25,500 +left skewed skewed to the left here we select a + +429 +00:36:25,500 --> 00:36:31,280 +random sample of 65 I'm sorry, of 64 students. + +430 +00:36:31,520 --> 00:36:37,140 +That gives sample mean of 65, and we have standard + +431 +00:36:37,140 --> 00:36:43,480 +deviation of 8. Now, the population by itself is + +432 +00:36:43,480 --> 00:36:48,780 +not normal, and the population has mean of 65, as + +433 +00:36:48,780 --> 00:36:54,780 +we mentioned, and standard deviation of 8. Now we + +434 +00:36:54,780 --> 00:36:57,640 +select a random sample of 64, it's large sample + +435 +00:36:57,640 --> 00:37:03,530 +size. What's the probability that the sample mean + +436 +00:37:03,530 --> 00:37:07,470 +exceeds 71? It says the answer is approximately + +437 +00:37:07,470 --> 00:37:15,890 +zero. Think about it. Why the answer is true in + +438 +00:37:15,890 --> 00:37:21,330 +this case? It might be because 71 is more than the + +439 +00:37:21,330 --> 00:37:27,820 +answer. So the first guessing here is just 71 is + +440 +00:37:27,820 --> 00:37:29,460 +above 65. + +441 +00:37:32,540 --> 00:37:38,440 +Yes? We can apply the CLT theorem because N is + +442 +00:37:38,440 --> 00:37:41,560 +above 30, so we can consider that this + +443 +00:37:41,560 --> 00:37:45,360 +distribution is normal, so we transform from It's + +444 +00:37:45,360 --> 00:37:49,140 +part of standardized and do whatever you want. + +445 +00:37:49,360 --> 00:37:53,860 +That's correct, but to do the problem, the + +446 +00:37:53,860 --> 00:37:56,320 +complete answer, yes, you have to convert to this + +447 +00:37:56,320 --> 00:37:59,620 +score, because n is large, then you can figure out + +448 +00:37:59,620 --> 00:38:03,460 +the answer. So she said that. But I'm looking for + +449 +00:38:03,460 --> 00:38:08,520 +something different. First, convert to z. Our root + +450 +00:38:08,520 --> 00:38:13,860 +n, sigma is n. Divide by square root of 64, which + +451 +00:38:13,860 --> 00:38:21,620 +is also 8. So it is Z greater than 1. Sorry, 6 + +452 +00:38:21,620 --> 00:38:29,080 +divided by 1 is 6. Now, Z greater than 6 if you go + +453 +00:38:29,080 --> 00:38:31,000 +back to the normal table. + +454 +00:38:33,560 --> 00:38:42,290 +Now, the table we have given it to try. So this + +455 +00:38:42,290 --> 00:38:50,790 +one is 1 minus z less than 6. For 6, we have 0 + +456 +00:38:50,790 --> 00:38:51,970 +.9999. + +457 +00:38:54,890 --> 00:38:58,490 +So the answer is approximately zero. So it makes + +458 +00:38:58,490 --> 00:39:02,150 +sense, it's zero. This is the complete answer. It + +459 +00:39:02,150 --> 00:39:05,490 +takes time. Because you have to convert the score. + +460 +00:39:06,700 --> 00:39:09,760 +Do some calculations, then use the normal table, + +461 +00:39:09,940 --> 00:39:13,460 +start the normal table. I mentioned before, it + +462 +00:39:13,460 --> 00:39:17,960 +tries to avoid this + +463 +00:39:17,960 --> 00:39:22,080 +kind of calculations. Now, how can we figure out? + +464 +00:39:26,000 --> 00:39:31,560 +Now, since the problem says Q to the left and N is + +465 +00:39:31,560 --> 00:39:36,680 +large, We can assume that X bar is approximately + +466 +00:39:36,680 --> 00:39:39,840 +normal, so don't worry about the shape of the + +467 +00:39:39,840 --> 00:39:42,560 +distribution because we select a random size of + +468 +00:39:42,560 --> 00:39:45,720 +size 6 to 4, so we can apply the central limit + +469 +00:39:45,720 --> 00:39:49,580 +theorem. Any idea? + +470 +00:39:54,580 --> 00:40:01,290 +Again, this way is true to do the complete + +471 +00:40:01,290 --> 00:40:05,350 +calculations, but again you have to avoid using + +472 +00:40:05,350 --> 00:40:06,450 +this one. I will give you a hint. + +473 +00:40:09,510 --> 00:40:15,730 +Now, 71, what's the difference between the true + +474 +00:40:15,730 --> 00:40:18,290 +mean and 76? + +475 +00:40:24,950 --> 00:40:31,060 +Okay, so that's sigma of x bar is 8 divided by + +476 +00:40:31,060 --> 00:40:38,600 +square root of 64 is 1. Again. Continuous, just 1. + +477 +00:40:42,980 --> 00:40:43,200 +Why? + +478 +00:40:51,340 --> 00:40:58,110 +The difference between 71 and 656 and 6 It's six + +479 +00:40:58,110 --> 00:41:03,730 +times the standard error of the sample mean. And + +480 +00:41:03,730 --> 00:41:12,610 +we know that, if you remember this rule, 65, 68, + +481 +00:41:14,110 --> 00:41:21,050 +95, 99, we can't, don't, don't use chebyshev in + +482 +00:41:21,050 --> 00:41:23,370 +this case because the distribution is roughly + +483 +00:41:23,370 --> 00:41:28,170 +normal. We know this rule, the empirical rule. We + +484 +00:41:28,170 --> 00:41:33,890 +said that 68% of the observations lie within one + +485 +00:41:33,890 --> 00:41:39,590 +standard deviation of the mean. 95% in standard + +486 +00:41:39,590 --> 00:41:46,210 +deviation and so on. Now if you go back, now let's + +487 +00:41:46,210 --> 00:41:51,510 +say mu minus three sigma and mu plus three sigma. + +488 +00:41:52,010 --> 00:41:56,410 +But here we are talking about x bar. So the mean + +489 +00:41:56,410 --> 00:42:04,590 +of x bar, sigma of x bar. So empirical rule says + +490 +00:42:04,590 --> 00:42:11,690 +that this area between + +491 +00:42:11,690 --> 00:42:20,490 +mu minus 3 sigma of x bar is around 99.7. Let's + +492 +00:42:20,490 --> 00:42:27,260 +compute the lower bound. Mu is 65. Three times + +493 +00:42:27,260 --> 00:42:31,640 +sigma of x bar is one, so that's 62. + +494 +00:42:33,700 --> 00:42:41,780 +The maximum here equal mu again 65 plus three + +495 +00:42:41,780 --> 00:42:49,020 +times one, 16. So now 99.7% of the sample means + +496 +00:42:49,020 --> 00:42:59,500 +lie between 62 and 68. Now, what's left? 0.3% for + +497 +00:42:59,500 --> 00:43:04,700 +both sides, so that's 0.15 to the right and the + +498 +00:43:04,700 --> 00:43:05,360 +same to the left. + +499 +00:43:08,500 --> 00:43:15,360 +Now, we are looking for x bar exceeds 71. 68 this + +500 +00:43:15,360 --> 00:43:20,360 +point, 71 should be to the right. Now, what's the + +501 +00:43:20,360 --> 00:43:24,290 +probability to the right of 71? is almost zero. + +502 +00:43:26,130 --> 00:43:30,630 +Because since we are saying that most of the data + +503 +00:43:30,630 --> 00:43:35,010 +lies within the three standard deviations of the + +504 +00:43:35,010 --> 00:43:39,230 +mean. Now here, the difference between this point + +505 +00:43:39,230 --> 00:43:47,270 +71 and 65 is 6, and sigma of x bar is 1. So it + +506 +00:43:47,270 --> 00:43:49,770 +means the difference between mu and x bar is + +507 +00:43:49,770 --> 00:43:54,600 +around 6 times sigma of x bar. So you are sure + +508 +00:43:54,600 --> 00:44:01,320 +that 99.7% of the data lies between 62 and 68, and + +509 +00:44:01,320 --> 00:44:05,160 +just 0.3% of the area left to the other side, two + +510 +00:44:05,160 --> 00:44:09,560 +sides, split in half, so we have 0.15 to the right + +511 +00:44:09,560 --> 00:44:12,700 +and the other to the left. But again, we are + +512 +00:44:12,700 --> 00:44:16,380 +looking for expiry exceeds 71, so we have to go + +513 +00:44:16,380 --> 00:44:20,340 +further to the right side, so the area becomes + +514 +00:44:20,340 --> 00:44:20,920 +very small. + +515 +00:44:27,080 --> 00:44:32,020 +This method is faster if you figure out this one + +516 +00:44:32,020 --> 00:44:38,060 +we can apply the empirical rule. Let's do similar + +517 +00:44:38,060 --> 00:44:41,780 +questions. Look at the other one. + +518 +00:44:46,940 --> 00:44:48,180 +Number five. + +519 +00:44:59,270 --> 00:45:02,050 +The amount of gasoline purchased per car at large + +520 +00:45:02,050 --> 00:45:08,110 +surface stations has population mean of 15. So the + +521 +00:45:08,110 --> 00:45:10,070 +mean is 15. + +522 +00:45:13,010 --> 00:45:18,150 +And the population standard deviation of 4. Sigma + +523 +00:45:18,150 --> 00:45:24,330 +is 4. It is assumed that the amount of gasoline + +524 +00:45:24,330 --> 00:45:26,050 +purchased per car is symmetric. + +525 +00:45:28,870 --> 00:45:38,990 +there is approximately 68.26% it shows that a + +526 +00:45:38,990 --> 00:45:44,970 +random sample of 16 cars so n equals 16 cars will + +527 +00:45:44,970 --> 00:45:49,430 +have sample mean between 14 and 16 so it says that + +528 +00:45:49,430 --> 00:45:55,830 +between 14 and 16 the answer is 68.24% + +529 +00:45:58,710 --> 00:46:01,890 +So again, we have a population, this population is + +530 +00:46:01,890 --> 00:46:08,550 +symmetric, with mean of 15 sigma of 4. We select a + +531 +00:46:08,550 --> 00:46:14,170 +random sample of 16. The problem says that the + +532 +00:46:14,170 --> 00:46:17,930 +probability of X bar between 14 and 16 equals 68%. + +533 +00:46:17,930 --> 00:46:24,450 +And the answer is true. Why? How can we apply or + +534 +00:46:24,450 --> 00:46:29,490 +use the empirical rule in this case? A mu minus 3 + +535 +00:46:29,490 --> 00:46:30,150 +standard deviation? + +536 +00:46:34,390 --> 00:46:42,690 +It says 68, 1. So it's a mu minus 1 standard + +537 +00:46:42,690 --> 00:46:46,770 +deviation, 1 sigma X bar, and let's look at 1 plus + +538 +00:46:46,770 --> 00:46:56,400 +sigma X bar. A mu is 15. Now Sigma of X1 is + +539 +00:46:56,400 --> 00:47:00,680 +also 1 because 4 divided by square root of 16 is + +540 +00:47:00,680 --> 00:47:01,580 +1. + +541 +00:47:04,040 --> 00:47:12,540 +So 1 times 1 is 14. On the other hand 15 plus 1 + +542 +00:47:12,540 --> 00:47:14,160 +times 1 is 16. + +543 +00:47:16,790 --> 00:47:21,450 +The problem says 68.4% of the answers is correct. + +544 +00:47:22,810 --> 00:47:28,010 +Because we know that 68% of the data will fall + +545 +00:47:28,010 --> 00:47:32,390 +within one standard deviation around the mean. So + +546 +00:47:32,390 --> 00:47:35,970 +it's, I think, it's very quickly to get your + +547 +00:47:35,970 --> 00:47:39,870 +answer rather than using the exact calculation. + +548 +00:47:40,070 --> 00:47:44,910 +Because for the exact one, you have to do 14 minus + +549 +00:47:44,910 --> 00:47:53,990 +the mean. divided by sigma z, then 16 minus the + +550 +00:47:53,990 --> 00:47:58,430 +mean divided by 1. Then use the normal theorem to + +551 +00:47:58,430 --> 00:48:05,470 +use the empirical rule in this case. So if we + +552 +00:48:05,470 --> 00:48:10,930 +select a sample of size 16, the probability that x + +553 +00:48:10,930 --> 00:48:14,530 +bar lies between 14 and 16 is around 60%. + +554 +00:48:20,320 --> 00:48:27,740 +Look at number six. Again, we assume we have the + +555 +00:48:27,740 --> 00:48:36,560 +same information for the mean. Mu is 15. It's the + +556 +00:48:36,560 --> 00:48:41,640 +same standard deviation is 4. But here, a random + +557 +00:48:41,640 --> 00:48:47,460 +sample of 64 cars selected. So instead of + +558 +00:48:47,460 --> 00:48:51,880 +selecting 16 cars, we select a random sample of + +559 +00:48:51,880 --> 00:48:53,900 +size 64. + +560 +00:48:55,760 --> 00:49:03,560 +Now it says there is approximately 95.44 + +561 +00:49:03,560 --> 00:49:07,960 +% which shows that the sample mean will be between + +562 +00:49:07,960 --> 00:49:14,460 +14 and 16. So again, this probability between 14 + +563 +00:49:14,460 --> 00:49:19,670 +and 16 is also Mu minus 2 standard deviation. And + +564 +00:49:19,670 --> 00:49:22,950 +equals 9.44. Let's see if it's correct or not. + +565 +00:49:23,890 --> 00:49:28,250 +Since it's mentioned that 95%, so it means that we + +566 +00:49:28,250 --> 00:49:31,070 +are talking about two standard deviations. So + +567 +00:49:31,070 --> 00:49:34,630 +let's just compute mu minus 2 standard deviation + +568 +00:49:34,630 --> 00:49:43,090 +and plus 2 sigma x. So the mean is 15 minus plus 2 + +569 +00:49:43,090 --> 00:49:49,510 +times again 1. One is not one because sigma of x + +570 +00:49:49,510 --> 00:49:56,110 +bar was one because n was 16. Now my new sigma + +571 +00:49:56,110 --> 00:50:01,730 +equal one-half because sigma over root n. Now + +572 +00:50:01,730 --> 00:50:10,070 +sigma again the same value four divided by 64 over + +573 +00:50:10,070 --> 00:50:13,970 +eight so that's one-half. So this one should be + +574 +00:50:13,970 --> 00:50:14,810 +two times + +575 +00:50:20,340 --> 00:50:26,820 +So that will give 15 minus 1, 14. 15 plus 1 is 16. + +576 +00:50:30,480 --> 00:50:35,180 +The probability between 14 and 16, I mean X bar + +577 +00:50:35,180 --> 00:50:40,840 +lies between 14 and 16, equals 95%. And we just + +578 +00:50:40,840 --> 00:50:45,210 +change some information a little bit. But the + +579 +00:50:45,210 --> 00:50:48,450 +answer was the probability between X bar, the + +580 +00:50:48,450 --> 00:50:51,790 +probability that X bar lies between 14 and 16 is + +581 +00:50:51,790 --> 00:50:56,690 +around 68%. Now what's the difference between + +582 +00:50:56,690 --> 00:51:03,030 +number 5 and 6? N is large. As N increases, + +583 +00:51:04,530 --> 00:51:06,790 +standard deviation decreases. Standard deviation + +584 +00:51:06,790 --> 00:51:09,910 +decreases. If you look here, sigma X bar was 1. + +585 +00:51:10,560 --> 00:51:13,440 +Then my new sigma of x bar is one half. As we + +586 +00:51:13,440 --> 00:51:16,260 +mentioned before, as n increases, sigma of x bar + +587 +00:51:16,260 --> 00:51:21,760 +decreases. In this case, we have larger + +588 +00:51:21,760 --> 00:51:25,460 +probability. So if we increase the sample size, + +589 +00:51:26,160 --> 00:51:30,760 +then the probability that x bar is between 14 and + +590 +00:51:30,760 --> 00:51:35,040 +16 will increase. So this proportion is increased + +591 +00:51:35,040 --> 00:51:40,630 +around 30 or around 27%. Because you just increase + +592 +00:51:40,630 --> 00:51:46,950 +the sample size from 16 all the way up to 64. So + +593 +00:51:46,950 --> 00:51:50,050 +since, as we know, as the sample size increases, + +594 +00:51:50,770 --> 00:51:55,210 +sigma of X bar decreases. So we are more sure that + +595 +00:51:55,210 --> 00:52:00,710 +X bar lies between 14 and 16. The previous one, + +596 +00:52:01,250 --> 00:52:05,590 +the chance that, or the probability that X bar + +597 +00:52:05,590 --> 00:52:09,450 +lies between 14 and 16 is around two-third. around + +598 +00:52:09,450 --> 00:52:14,530 +68%. But here, for the same kind of probability, + +599 +00:52:15,010 --> 00:52:19,190 +it's equal around 95%, because you increase the + +600 +00:52:19,190 --> 00:52:20,130 +sample size. + +601 +00:52:23,670 --> 00:52:30,210 +Any question? Let's do one more. + +602 +00:52:34,550 --> 00:52:35,490 +Suppose + +603 +00:52:53,560 --> 00:52:56,960 +Sigma squared, it means the variance is 100. + +604 +00:53:00,100 --> 00:53:04,320 +So sigma don't forget to take the square root of + +605 +00:53:04,320 --> 00:53:11,660 +sigma squared in order to find sigma. In a sample + +606 +00:53:11,660 --> 00:53:12,380 +of 100, + +607 +00:53:15,480 --> 00:53:20,540 +95% of all possible sample means will fall between + +608 +00:53:29,270 --> 00:53:36,430 +This equals around 95%. Now without calculations, + +609 +00:53:37,010 --> 00:53:40,450 +since it says the problem is normally distributed + +610 +00:53:40,450 --> 00:53:46,170 +or N is large. In this case, N is large enough to + +611 +00:53:46,170 --> 00:53:49,570 +apply the central limit theorem. Then we can use + +612 +00:53:49,570 --> 00:53:54,190 +the empirical rule. It says 95% is too strong + +613 +00:53:54,190 --> 00:53:59,630 +deviation of the mean. So mu minus plus. 2 sigma + +614 +00:53:59,630 --> 00:54:05,850 +of x bar. Now, mu is 50 minus plus 2 sigma of x + +615 +00:54:05,850 --> 00:54:09,290 +bar. Yes, I have to compute sigma of x bar first. + +616 +00:54:09,910 --> 00:54:15,410 +So, sigma divided by is 1. So, simple calculation, + +617 +00:54:15,550 --> 00:54:21,570 +just sigma over root n is 1. So, minus 1. 50 minus + +618 +00:54:21,570 --> 00:54:29,290 +2 is 48. 50 plus 2 is 52. So it's between 40, 8, + +619 +00:54:29,370 --> 00:54:35,690 +and 52, and this probability is 95%. So it's true. + +620 +00:54:36,950 --> 00:54:40,690 +Now which is faster? To use this method, which is + +621 +00:54:40,690 --> 00:54:42,970 +maybe less than one minute, you can figure out the + +622 +00:54:42,970 --> 00:54:46,890 +answer, or use the complete calculations. In this + +623 +00:54:46,890 --> 00:54:48,990 +case, you have to find z-score for the first one, + +624 +00:54:49,090 --> 00:54:51,930 +z for the other one, then use the normal table, + +625 +00:54:51,990 --> 00:54:56,610 +and that will take at least five minutes. So to + +626 +00:54:56,610 --> 00:54:59,330 +use the empirical rule, most of the time gives + +627 +00:54:59,330 --> 00:55:03,410 +shorter time. + +628 +00:55:05,290 --> 00:55:06,030 +Any question? + +629 +00:55:08,770 --> 00:55:11,430 +Let's do one more. + +630 +00:55:14,350 --> 00:55:23,850 +One more. Number 10. The amount of bleach a + +631 +00:55:23,850 --> 00:55:30,610 +machine pours into bottles has a mean of 36. The + +632 +00:55:30,610 --> 00:55:40,310 +mean is 36. Sigma is 0.15 ounces. Suppose we take + +633 +00:55:40,310 --> 00:55:45,590 +around a sample of size 36 bottles filled by this + +634 +00:55:45,590 --> 00:55:49,390 +machine. The sampling distribution or the sample + +635 +00:55:49,390 --> 00:55:53,730 +mean has standard error of So standard error means + +636 +00:55:53,730 --> 00:55:55,290 +sigma of x bar is 0.15. + +637 +00:55:58,150 --> 00:56:01,990 +Again, it says the sample distribution of the + +638 +00:56:01,990 --> 00:56:06,910 +sample mean has standard error of 0.15. I mean + +639 +00:56:06,910 --> 00:56:11,750 +sigma of x bar is 0.15. It's false. Because sigma + +640 +00:56:11,750 --> 00:56:17,530 +of x bar equals sigma over root n. So 0.15 divided + +641 +00:56:17,530 --> 00:56:18,210 +by 6. + +642 +00:56:20,990 --> 00:56:26,150 +So it's incorrect. That's false. False because + +643 +00:56:26,150 --> 00:56:33,530 +this value is just the standard deviation. But he + +644 +00:56:33,530 --> 00:56:36,270 +asked about the sampling distribution of the + +645 +00:56:36,270 --> 00:56:39,730 +sample mean has standard error. And standard error + +646 +00:56:39,730 --> 00:56:42,110 +means the standard deviation of the sample mean. + +647 +00:56:42,710 --> 00:56:44,750 +So we have to divide sigma by square root of that. + +648 +00:56:45,690 --> 00:56:50,230 +Mixed, 11. The mean of the standard distribution + +649 +00:56:50,230 --> 00:56:53,250 +of a sample proportion is the population of + +650 +00:56:53,250 --> 00:56:58,970 +proportion pi. That's true. Because if the two + +651 +00:56:58,970 --> 00:57:03,150 +conditions we mentioned before are satisfied, then + +652 +00:57:03,150 --> 00:57:07,650 +the mean of P is pi. So that's correct. Twelve, + +653 +00:57:07,770 --> 00:57:11,670 +the last one. The standard error of the sampling + +654 +00:57:11,670 --> 00:57:14,290 +distribution of P times 1 minus P divided by N, + +655 +00:57:14,690 --> 00:57:17,890 +where P is the sample proportion, it's false, + +656 +00:57:18,470 --> 00:57:23,690 +because sigma over P square root of Pi, 1 minus Pi + +657 +00:57:23,690 --> 00:57:27,490 +divided by N. So this statement is false. + +658 +00:57:43,560 --> 00:57:49,820 +Let's do, look at number 13, the last one, number + +659 +00:57:49,820 --> 00:57:50,360 +13. + +660 +00:57:56,900 --> 00:58:00,700 +A sample of size 25. So we took a random sample of + +661 +00:58:00,700 --> 00:58:04,640 +25. So N is 25. + +662 +00:58:08,880 --> 00:58:11,080 +It provides a sample variance. + +663 +00:58:14,230 --> 00:58:18,130 +The standard error, he asked about the standard + +664 +00:58:18,130 --> 00:58:26,190 +error, sigma of x bar, in this case equal to 4, is + +665 +00:58:26,190 --> 00:58:29,750 +best described as the estimate of the standard + +666 +00:58:29,750 --> 00:58:33,250 +deviation of means calculated from sample size 25. + +667 +00:58:33,610 --> 00:58:37,350 +He asked about sigma of x bar. We know that sigma + +668 +00:58:37,350 --> 00:58:40,650 +of x bar equals sigma over root n, but sigma is + +669 +00:58:40,650 --> 00:58:47,020 +not given. S is a square, S is a 20, but what's + +670 +00:58:47,020 --> 00:58:52,260 +Sigma? Because Sigma of X bar, Sigma over root N, + +671 +00:58:53,020 --> 00:58:58,640 +Sigma is not given. But as we know before, since N + +672 +00:58:58,640 --> 00:59:04,080 +is large enough, so if N is large, in this case, + +673 +00:59:04,420 --> 00:59:09,120 +if N is large, if N is large, we can replace Sigma + +674 +00:59:09,120 --> 00:59:16,550 +by S. And this is just S over root N. So if N is + +675 +00:59:16,550 --> 00:59:24,010 +large enough, more than 15, so we can use or we + +676 +00:59:24,010 --> 00:59:27,530 +can apply the central limit theorem. So we get the + +677 +00:59:27,530 --> 00:59:35,500 +sigma YS. So S equals 20 divided by 5 is 4. So the + +678 +00:59:35,500 --> 00:59:38,480 +standard error equals 4 in this case. So if S + +679 +00:59:38,480 --> 00:59:43,120 +squared is given instead of sigma squared, we can + +680 +00:59:43,120 --> 00:59:48,300 +replace sigma by S if N is larger. So in this + +681 +00:59:48,300 --> 00:59:52,120 +case, we replace sigma by S. So sigma of x bar + +682 +00:59:52,120 --> 00:59:55,060 +equals S over root N. That will give 4. + +683 +00:59:58,400 --> 01:00:02,040 +S is the sample variance. + +684 +01:00:05,740 --> 01:00:09,340 +Sigma is + +685 +01:00:09,340 --> 01:00:12,820 +population S squared. + +686 +01:00:15,720 --> 01:00:21,700 +Sigma squared. is the population variance. And we + +687 +01:00:21,700 --> 01:00:25,400 +know that S squared is the sample variance, where + +688 +01:00:25,400 --> 01:00:28,180 +sigma squared is the population variance. And + +689 +01:00:28,180 --> 01:00:30,940 +population in this case is not given. So we + +690 +01:00:30,940 --> 01:00:34,060 +replace the population variance by sample + +691 +01:00:34,060 --> 01:00:37,160 +variance, if the population is normal or N is + +692 +01:00:37,160 --> 01:00:43,200 +large. Because if N is large enough, we can apply + +693 +01:00:43,200 --> 01:00:46,760 +the central limit theorem. And if you go back The + +694 +01:00:46,760 --> 01:00:49,080 +formula for S, if you remember, we divide by N + +695 +01:00:49,080 --> 01:00:55,500 +minus one. And for sigma, we divide by capital. So + +696 +01:00:55,500 --> 01:00:59,760 +if N is large enough, then there is small + +697 +01:00:59,760 --> 01:01:03,120 +difference between sample variance and population. + +698 +01:01:04,260 --> 01:01:04,360 +Okay. + +699 +01:01:11,040 --> 01:01:15,000 +Any questions? Any question? + +700 +01:01:19,130 --> 01:01:25,830 +If it is above 15, it's okay. 15 or 30, depends on + +701 +01:01:25,830 --> 01:01:28,890 +the population you have. But here, if you divide + +702 +01:01:28,890 --> 01:01:35,150 +by 24 or 25, the difference is small. I mean, if + +703 +01:01:35,150 --> 01:01:41,120 +you divide this one by 24 or by 25, The difference + +704 +01:01:41,120 --> 01:01:43,740 +between S and Sigma is small, so we can replace + +705 +01:01:43,740 --> 01:01:48,100 +Sigma by S, if Sigma is unknown. Questions? + diff --git a/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/w-gVlz_LYaI_raw.srt b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/w-gVlz_LYaI_raw.srt new file mode 100644 index 0000000000000000000000000000000000000000..acaa2e4aed46c89d6650ab212fff09b339eb2f51 --- /dev/null +++ b/PL9fwy3NUQKwaIc7KWc8buW344941GStQL/w-gVlz_LYaI_raw.srt @@ -0,0 +1,824 @@ +1 +00:00:07,100 --> 00:00:10,520 +So then shall we continue chapter eight confidence + +2 +00:00:10,520 --> 00:00:14,360 +interval estimation. Last time we talked about + +3 +00:00:14,360 --> 00:00:18,820 +confidence interval for the population mean mu + +4 +00:00:18,820 --> 00:00:25,220 +when sigma is known. And we end with this specific + +5 +00:00:25,220 --> 00:00:27,480 +formula in order to construct + +6 +00:00:30,020 --> 00:00:34,980 +for the true proportion, the true population mean + +7 +00:00:34,980 --> 00:00:39,700 +mu, which is x bar, the sample mean, plus or minus + +8 +00:00:39,700 --> 00:00:43,020 +the alpha over 2, the critical value, times sigma + +9 +00:00:43,020 --> 00:00:46,480 +over root n, which is the standard error of the + +10 +00:00:46,480 --> 00:00:53,200 +estimate. And I think we gave an example for + +11 +00:00:53,200 --> 00:00:57,300 +this one. So one more time, the confidence + +12 +00:00:57,300 --> 00:01:01,480 +intervals for this chapter will be split into two + +13 +00:01:01,480 --> 00:01:07,020 +parts. One for the true mean, and the other for + +14 +00:01:07,020 --> 00:01:11,180 +the true proportion. For the population mean, + +15 +00:01:11,500 --> 00:01:16,760 +there are two cases. One sigma is known, and we + +16 +00:01:16,760 --> 00:01:21,120 +just explained. And the other one, one sigma is + +17 +00:01:21,120 --> 00:01:24,560 +unknown. Let's see how can we construct a + +18 +00:01:24,560 --> 00:01:29,780 +confidence interval when sigma is unknown. In the + +19 +00:01:29,780 --> 00:01:37,600 +real world, I mean in all real world business + +20 +00:01:37,600 --> 00:01:41,160 +situations, sigma is not given. So our goal is to + +21 +00:01:41,160 --> 00:01:44,940 +estimate sigma by using the sample standard + +22 +00:01:44,940 --> 00:01:50,440 +deviation, then replace sigma by S. In this case, + +23 +00:01:50,480 --> 00:01:53,680 +we have to use a new distribution. This + +24 +00:01:53,680 --> 00:01:58,590 +distribution is called T distribution. So again, + +25 +00:01:59,110 --> 00:02:01,990 +if the population standard deviation sigma is + +26 +00:02:01,990 --> 00:02:06,350 +unknown, we can substitute the sample standard + +27 +00:02:06,350 --> 00:02:12,710 +deviation S instead of sigma. In this case, we + +28 +00:02:12,710 --> 00:02:17,790 +should use T distribution instead of normal + +29 +00:02:17,790 --> 00:02:20,810 +distribution. So if sigma is unknown. + +30 +00:02:33,090 --> 00:02:39,890 +replace sigma by S and use T + +31 +00:02:39,890 --> 00:02:44,530 +distribution instead of norm. + +32 +00:02:47,970 --> 00:02:50,530 +So this is the idea here. We have to replace sigma + +33 +00:02:50,530 --> 00:02:55,920 +by S and use a new distribution called T. In this + +34 +00:02:55,920 --> 00:02:59,720 +case, the three assumptions will remain nearly the + +35 +00:02:59,720 --> 00:03:06,620 +same. But instead of the first one will be here, + +36 +00:03:06,720 --> 00:03:08,780 +population standard deviation is unknown instead + +37 +00:03:08,780 --> 00:03:12,280 +of known. So this is the assumption that changed. + +38 +00:03:12,780 --> 00:03:17,140 +The other two assumptions remain the same. Either + +39 +00:03:17,140 --> 00:03:20,380 +the population is normally distributed, or if the + +40 +00:03:20,380 --> 00:03:24,320 +population is not normal, just use large sample. + +41 +00:03:25,430 --> 00:03:28,550 +In this case, the confidence interval estimate is + +42 +00:03:28,550 --> 00:03:35,150 +given by this formula X bar plus or minus T alpha + +43 +00:03:35,150 --> 00:03:40,570 +over 2S over square root of F. Now the question + +44 +00:03:40,570 --> 00:03:45,470 +is, how can we find the critical value T alpha + +45 +00:03:45,470 --> 00:03:49,330 +over 2? There is a table for this one at the end + +46 +00:03:49,330 --> 00:03:52,510 +of your book. The table gives the area in the + +47 +00:03:52,510 --> 00:03:53,090 +upper tier. + +48 +00:03:59,100 --> 00:04:05,080 +For certain probabilities, start from 2.2, + +49 +00:04:05,520 --> 00:04:12,940 +0.10, and so on. So this is the table. So columns + +50 +00:04:12,940 --> 00:04:19,300 +represent the percentages of the area in the upper + +51 +00:04:19,300 --> 00:04:24,180 +tier. Rows represent degrees of freedom, start + +52 +00:04:24,180 --> 00:04:29,110 +from 1 to all the way up to 120. Then infinity. + +53 +00:04:30,370 --> 00:04:35,690 +Now let's see how can we use the table. You have + +54 +00:04:35,690 --> 00:04:40,590 +to know that T is a family of distributions. The + +55 +00:04:40,590 --> 00:04:46,770 +degrees of freedom, DF stands for degrees of + +56 +00:04:46,770 --> 00:04:52,210 +freedom, always equals N minus 1. For example, if + +57 +00:04:52,210 --> 00:04:57,250 +the sample size is 15, So degrees of freedom is 14 + +58 +00:04:57,250 --> 00:05:01,910 +and so on. Now degrees of freedom, number of + +59 +00:05:01,910 --> 00:05:05,590 +observations that are free to vary after sample + +60 +00:05:05,590 --> 00:05:09,290 +mean has been calculated. Let's see the meaning of + +61 +00:05:09,290 --> 00:05:15,410 +degrees of freedom. Now imagine that we + +62 +00:05:15,410 --> 00:05:21,150 +know the mean is + +63 +00:05:21,150 --> 00:05:21,430 +8. + +64 +00:05:25,690 --> 00:05:29,210 +previous information that the mean of three + +65 +00:05:29,210 --> 00:05:34,270 +observations equals eight. So we have three + +66 +00:05:34,270 --> 00:05:39,530 +values. Now the restriction is the mean is eight. + +67 +00:05:40,590 --> 00:05:47,150 +So we have three values x1, x2, x3. In this case, + +68 +00:05:47,210 --> 00:05:51,100 +you can take any two values. So suppose the mean + +69 +00:05:51,100 --> 00:05:53,600 +of three numbers is eight. So there are three + +70 +00:05:53,600 --> 00:05:56,120 +observations, n equal to three, the mean is eight. + +71 +00:05:56,460 --> 00:05:59,980 +In this case, you can take any two of these three + +72 +00:05:59,980 --> 00:06:05,800 +values. For example, maybe x1, I can choose x1 to + +73 +00:06:05,800 --> 00:06:09,380 +be, for example, 10. Someone else will choose x2 + +74 +00:06:09,380 --> 00:06:18,400 +to be 7. Now, the value of x3 should be equal to a + +75 +00:06:18,400 --> 00:06:23,410 +value And in that case, the sample mean should be + +76 +00:06:23,410 --> 00:06:26,950 +eight. And there are three observations, so the + +77 +00:06:26,950 --> 00:06:30,490 +total should be 24. So this value should be seven, + +78 +00:06:30,790 --> 00:06:37,120 +must be seven. So now you have two options. For x1 + +79 +00:06:37,120 --> 00:06:41,060 +and x2, just you can take any two values. But the + +80 +00:06:41,060 --> 00:06:44,560 +third one has a restriction on it that the average + +81 +00:06:44,560 --> 00:06:49,240 +will be three. Maybe someone else will choose x1 + +82 +00:06:49,240 --> 00:06:56,060 +to be seven, x3 to be, for example, 15. So now + +83 +00:06:56,060 --> 00:06:59,900 +what do you think about the remaining item or the + +84 +00:06:59,900 --> 00:07:04,460 +remaining observation? This one should be two. So + +85 +00:07:04,460 --> 00:07:08,030 +you have three. to take any two values out of + +86 +00:07:08,030 --> 00:07:12,530 +three. Here, for this specific example, he chose + +87 +00:07:12,530 --> 00:07:21,230 +x1 to be 7, x2 to be 8. Now, x3 must be 9, because + +88 +00:07:21,230 --> 00:07:24,450 +the total in this case will be 24. So the average, + +89 +00:07:24,710 --> 00:07:29,830 +again, is 8. So here, n is 3. So degrees of + +90 +00:07:29,830 --> 00:07:35,260 +freedom is 2, is n minus 1. So that means two + +91 +00:07:35,260 --> 00:07:39,640 +values can be any numbers. As I mentioned here, it + +92 +00:07:39,640 --> 00:07:44,260 +could be any two numbers. But the third one is not + +93 +00:07:44,260 --> 00:07:48,100 +free to vary for a given mean, because here we + +94 +00:07:48,100 --> 00:07:50,560 +have a restriction that the mean is eight. Another + +95 +00:07:50,560 --> 00:07:54,760 +example, suppose I gave you three cards. + +96 +00:07:57,700 --> 00:08:01,540 +And my restriction is the sum of the numbers on + +97 +00:08:01,540 --> 00:08:06,780 +the three cards will be 15. Maybe you will write + +98 +00:08:06,780 --> 00:08:10,960 +any two values in any two cards. For example, + +99 +00:08:11,100 --> 00:08:16,500 +maybe I will choose seven in the first card, six + +100 +00:08:16,500 --> 00:08:21,620 +in the third, So this one should be 2. So the + +101 +00:08:21,620 --> 00:08:26,340 +degrees of freedom is 2. Any questions? So this is + +102 +00:08:26,340 --> 00:08:30,160 +the meaning of degrees of freedom. So in general, + +103 +00:08:30,680 --> 00:08:33,800 +if the sample size is n, I mean if the sample size + +104 +00:08:33,800 --> 00:08:39,840 +equals n degrees of freedom, n minus 1. That's the + +105 +00:08:39,840 --> 00:08:43,940 +meaning of degrees of freedom. Now let's see the + +106 +00:08:43,940 --> 00:08:46,240 +comparison between T distribution and Z. + +107 +00:08:49,600 --> 00:08:52,280 +The blue one is normal distribution, standard + +108 +00:08:52,280 --> 00:08:59,060 +normal. The other two, the blue and red ones, are + +109 +00:08:59,060 --> 00:09:01,300 +T distributions with different degrees of freedom. + +110 +00:09:01,820 --> 00:09:05,560 +For example, the red one has degrees of freedom + +111 +00:09:05,560 --> 00:09:12,180 +five. So that means the sample size is six. And + +112 +00:09:12,180 --> 00:09:15,720 +actually, in this case, T distribution has long + +113 +00:09:15,720 --> 00:09:21,340 +tail. The other one, the blue one, has degrees of + +114 +00:09:21,340 --> 00:09:25,760 +freedom 13, that means n equals 14. Now we can see + +115 +00:09:25,760 --> 00:09:32,940 +that the blue one is closer to the normal than the + +116 +00:09:32,940 --> 00:09:36,400 +red one. That means as degrees of freedom + +117 +00:09:36,400 --> 00:09:41,180 +increases, the difference between z and t becomes + +118 +00:09:41,180 --> 00:09:48,000 +smaller and smaller. Always, T converges or goes + +119 +00:09:48,000 --> 00:09:55,160 +to Z as N increases. So for large sample sizes, we + +120 +00:09:55,160 --> 00:09:59,540 +can approximate Z value by T. That in general, if + +121 +00:09:59,540 --> 00:10:04,840 +N is very, very large, I mean above 30. But if N, + +122 +00:10:05,000 --> 00:10:07,700 +for example, 100, in this case, the two curves + +123 +00:10:07,700 --> 00:10:09,980 +will be identical. + +124 +00:10:11,660 --> 00:10:17,420 +Let's see how can we use the Table 40. + +125 +00:10:21,140 --> 00:10:25,720 +This table is quite similar to the one you have at + +126 +00:10:25,720 --> 00:10:30,380 +the end of your book. Now again, this table gives + +127 +00:10:30,380 --> 00:10:31,920 +the area in the upper tail. + +128 +00:10:35,660 --> 00:10:41,840 +So if we are interested in + +129 +00:10:41,840 --> 00:10:44,080 +95 confidence interval. + +130 +00:10:51,620 --> 00:11:01,760 +That means alpha is 5% because 95% between these + +131 +00:11:01,760 --> 00:11:08,160 +two values. So 5% left. The distribution is + +132 +00:11:08,160 --> 00:11:13,440 +normal. It is bell-shaped, so 5% for both + +133 +00:11:13,440 --> 00:11:17,720 +directions. So here we have 2.5, and the other one + +134 +00:11:17,720 --> 00:11:22,280 +also 2.5. So the area in the upper tail is 2.5, so + +135 +00:11:22,280 --> 00:11:28,820 +this is my 2.5. So again, columns represents upper + +136 +00:11:28,820 --> 00:11:33,660 +tail probabilities, while rows represent degrees + +137 +00:11:33,660 --> 00:11:40,730 +of freedom. Now, let's imagine that N equals 20, + +138 +00:11:41,610 --> 00:11:46,250 +for example. Now alpha is 5, so that means alpha + +139 +00:11:46,250 --> 00:11:50,470 +over 2, as we mentioned, 2.5%. Here we should look + +140 +00:11:50,470 --> 00:11:56,070 +at degrees of freedom. Equal N minus 1. That's 19. + +141 +00:11:57,470 --> 00:12:06,170 +So this is 19. Go all the way up to 0 to 5. So + +142 +00:12:06,170 --> 00:12:11,650 +this is your answer. 2.093. So T alpha over 2 + +143 +00:12:11,650 --> 00:12:16,970 +equal 2.093. + +144 +00:12:17,810 --> 00:12:20,910 +This is the way how can we use the T distribution. + +145 +00:12:23,010 --> 00:12:29,070 +Now let's see if we have different confidence + +146 +00:12:29,070 --> 00:12:29,390 +level. + +147 +00:12:37,520 --> 00:12:41,040 +We got 2.093. + +148 +00:12:42,420 --> 00:12:45,120 +So T, 0 to 5. + +149 +00:12:50,340 --> 00:12:55,000 +Now for the same size, for the same sample size, + +150 +00:12:55,440 --> 00:13:01,300 +let's talk about 90% confidence. 90% means 10% + +151 +00:13:01,300 --> 00:13:05,940 +left. Five to the right. So alpha. + +152 +00:13:13,290 --> 00:13:17,410 +This is your 0.05, 1.729. + +153 +00:13:24,670 --> 00:13:32,530 +Now as C level increases, T also increases. When + +154 +00:13:32,530 --> 00:13:39,870 +90% we got T to be 1.729. When C11 increases up to + +155 +00:13:39,870 --> 00:13:46,190 +5%, we have 95. My T becomes 2.093. So this is the + +156 +00:13:46,190 --> 00:13:52,570 +way how can we use the TMR. Here in the slide, we + +157 +00:13:52,570 --> 00:13:57,750 +have another example. That is, we have a sample + +158 +00:13:57,750 --> 00:14:02,810 +size of three. The use of freedom is two. In this + +159 +00:14:02,810 --> 00:14:06,550 +case, he's interested in 90% confidence interval, + +160 +00:14:07,530 --> 00:14:12,690 +so alpha is 10%. Consequently, alpha over 2 is 5%. + +161 +00:14:12,690 --> 00:14:16,410 +Here, we should look at degrees of freedom equals + +162 +00:14:16,410 --> 00:14:22,790 +2 at 5%, and the answer is 2.92. + +163 +00:14:27,550 --> 00:14:31,130 +Now, let's see how can we compare the results of + +164 +00:14:31,130 --> 00:14:38,190 +different degrees of freedom comparing to the + +165 +00:14:38,190 --> 00:14:41,910 +standard normal distribution. Z means we have + +166 +00:14:41,910 --> 00:14:44,830 +infinite degrees of freedom, I mean n equal + +167 +00:14:44,830 --> 00:14:50,130 +infinity in this case. Suppose the confidence + +168 +00:14:50,130 --> 00:14:59,790 +level is 80%. 80% means 20%, so 10. In another + +169 +00:14:59,790 --> 00:15:04,550 +tail and 10th left tail Now under degrees of + +170 +00:15:04,550 --> 00:15:14,530 +freedom 10 If we go back 10 degrees + +171 +00:15:14,530 --> 00:15:24,350 +of freedom Up to 10 we have this answer Now + +172 +00:15:24,350 --> 00:15:28,580 +for 20 for example We have 1.325. + +173 +00:15:36,060 --> 00:15:42,300 +Look at the fourth column again. This is 10. 1 + +174 +00:15:42,300 --> 00:15:51,000 +.372. For 20, we have 1.325. For 30, 1.310. + +175 +00:15:52,960 --> 00:15:59,130 +That's for the T values. Now if you go back to the + +176 +00:15:59,130 --> 00:16:08,330 +normal table and just look at 1%. This is the z + +177 +00:16:08,330 --> 00:16:18,790 +table. 1% is the closest value under 1.28. + +178 +00:16:19,590 --> 00:16:25,930 +So that's your z-score. Now the corresponding T + +179 +00:16:25,930 --> 00:16:36,190 +values are 1.372, 1.325, 1.310, the exact Z is 1 + +180 +00:16:36,190 --> 00:16:40,970 +.18. Now, here we can see that the difference + +181 +00:16:40,970 --> 00:16:45,290 +between T and Z becomes smaller and smaller as N, + +182 +00:16:45,530 --> 00:16:51,530 +or degrees of freedom, increases. Here 1.372, then + +183 +00:16:51,530 --> 00:16:57,550 +it becomes less than this value, so 1.325, 1.310, + +184 +00:16:58,070 --> 00:17:02,250 +very close, 1.28. Similarly, we can do for the + +185 +00:17:02,250 --> 00:17:07,450 +other confidence levels. For example, for 90%, we + +186 +00:17:07,450 --> 00:17:13,010 +get this result. And also we have similar scenario + +187 +00:17:13,010 --> 00:17:16,630 +here for 95 and 99. So as degrees of freedom + +188 +00:17:16,630 --> 00:17:22,660 +increases, T goes to Z. Now, what's the smallest + +189 +00:17:22,660 --> 00:17:27,320 +difference between Z and other T values? For which + +190 +00:17:27,320 --> 00:17:28,680 +level of significance? + +191 +00:17:31,700 --> 00:17:36,820 +80%. For 80%, the difference between Z and T here + +192 +00:17:36,820 --> 00:17:40,700 +is the smallest among the others. Because the + +193 +00:17:40,700 --> 00:17:44,480 +difference between 128 and 131 is the smallest + +194 +00:17:44,480 --> 00:17:47,600 +value corresponding to the other ones, or + +195 +00:17:47,600 --> 00:17:53,130 +comparing to the other ones. For small confidence + +196 +00:17:53,130 --> 00:17:56,370 +level, the difference between z and t becomes + +197 +00:17:56,370 --> 00:18:01,930 +smaller and smaller. So t goes to z as n + +198 +00:18:01,930 --> 00:18:02,530 +increases. + +199 +00:18:06,430 --> 00:18:13,950 +So again, here, the yellow one is the normal + +200 +00:18:13,950 --> 00:18:16,450 +table, standardized normal table. It's a normal + +201 +00:18:16,450 --> 00:18:20,530 +table with degrees of freedom infinity as for t. + +202 +00:18:21,920 --> 00:18:24,740 +The other two for T distribution with different + +203 +00:18:24,740 --> 00:18:28,660 +degrees of freedom. In this case, T distributions + +204 +00:18:28,660 --> 00:18:32,920 +are bell-shaped and symmetric, but have fatter + +205 +00:18:32,920 --> 00:18:37,200 +tails than the normal. That means normal + +206 +00:18:37,200 --> 00:18:41,780 +distribution goes to the zero +