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0.423432 | c58be7eed04f4cf3a631472c793d45c4 | Forest plot of the effect of Pulmonary Rehabilitation in post-acute patients with COVID-19 related to physical function, dyspnea, and quality of life. (A) RCTs assessed; (B) Observational studies assessed. | PMC9776761 | diagnostics-12-03032-g003.jpg |
0.490079 | 4277cb3ccace48be826747b47945625f | Leave-one-out analysis of the effect of Pulmonary Rehabilitation in post-acute patients with COVID-19 related to physical function, dyspnea, and quality of life. (A) RCTs assessed; (B) Observational studies assessed. | PMC9776761 | diagnostics-12-03032-g004.jpg |
0.46038 | 3bde7be135be457682145bc0dd5b3947 | Subgroup meta-analysis of the effect of Pulmonary Rehabilitation in post-acute patients with COVID-19 related to physical function, dyspnea, and quality of life. (A) RCTs assessed; (B) Observational studies assessed. | PMC9776761 | diagnostics-12-03032-g005.jpg |
0.514337 | 34a6111c1f6d45ff8aba464ebc627ae0 | Publication bias of included studies on the effect of Pulmonary Rehabilitation in post-acute patients with COVID-19 related to physical function, dyspnea, and quality of life. (A) RCTs assessed; (B) Observational studies assessed. | PMC9776761 | diagnostics-12-03032-g006.jpg |
0.408267 | 15f199f9f1924a4fa7d6420b7ef94461 | Protocols of TN-IMS measurement. (A) The TN-IMS system is in contact with a suspected thyroid nodule via two electrodes, a needle probe inside the nodule, and an ECG chest lead connected to the submental region. (B) The pathological structure of normal thyroid tissue is illustrated through an H&E assay and a schematic picture. (C) Pathological structure of a cancerous thyroid nodule presented by an H&E assay [27]. Inclusions and Orphan Annie-eye nuclei patterns are illustrated in a schematic. (D) The intraoperative application of TN-IMS needle probe. | PMC9776834 | diagnostics-12-02950-g001.jpg |
0.503303 | 8cb1d0f37ea2448d98f291865639bed9 | The study flow diagram shows patient exclusion. | PMC9776834 | diagnostics-12-02950-g002.jpg |
0.494871 | f06a029356504b2087f7327f2d4706b4 | TN-IMS calibration and scoring. (A) A two-dimensional diagram representing Z1kHz on X-axis and IPS on Y-axis for all tested samples defines a primary calibration cut-off set. The patterned rectangle illustrates the positive region with the most malignancy probability in thyroid samples. (B) The classification criteria for positive thyroid nodules. (C) The effect of changing calibration features cut-offs in AUC, sensitivity, and specificity. Most AUC and sensitivity/specificity compositions belong to the primarily defined calibration cut-offs. (D) Comparison of AUC, sensitivity, and specificity of clinical indications such as age, sex, nodule size, TI-RADS, Bethesda, and TN-IMS scores in all tested samples (including thyroid nodules and normal thyroid tissues). (E) AUC, sensitivity, and specificity of clinical indications such as age, sex, nodule size, TI-RADS, Bethesda, and TN-IMS score in only thyroid nodules. | PMC9776834 | diagnostics-12-02950-g003.jpg |
0.377336 | 86ebd9d2314e4c82bde66343e0d854b6 | Picture of H&E assays of nodules correctly diagnosed with TN-IMS. (A) PTC. (B) Micro-PTC. (C) HT. (D) Colloid goiter. | PMC9776834 | diagnostics-12-02950-g004.jpg |
0.367354 | 04785ee13ec5435194e04268d848d456 | Effect of esculetin on t-BHP-induced HEK293 cell injury. The cell viability of HEK293 cells exposed to different concentrations of esculetin (A), t-BHP (B) and t-BHP with esculetin (C). In the bar graphs, the values represent means ± SD, n = 5. * p < 0.05 vs. untreated control group, # p < 0.05 vs. t-BHP-treated control group. | PMC9777115 | cimb-44-00407-g001.jpg |
0.407308 | 240bc2c4af8949f7b4ddde63b8570f72 | Effect of esculetin on t-BHP-induced ROS generation in HEK293 cells. (A) The changes in ROS levels in HEK253 cells exposed to t-BHP with esculetin were detected using DCFH-DA dye. (B) In the bar graphs, the values represent means ± SD, n = 5. * p < 0.05 vs. untreated control group, # p < 0.05 vs. t-BHP-treated group. | PMC9777115 | cimb-44-00407-g002.jpg |
0.433005 | ec40e4ab1b424b989bfe98abd8d8bbdd | Effect of esculetin on t-BHP-induced apoptosis in HEK293 cells. (A) Apoptosis of HEK253 cells exposed to t-BHP with esculetin were detected using TUNEL staining. (B) In the bar graphs, the values represent means ± SD, n = 5. * p < 0.05 vs. untreated control group, # p < 0.05 vs. t-BHP-treated group. | PMC9777115 | cimb-44-00407-g003.jpg |
0.418544 | 3b0ff993496f46bea5573b8052296410 | Effect of esculetin on apoptosis-related signaling pathways in HEK293 cells. (A) Apoptosis-related protein assay. (B) In the bar graphs, the values represent means ± SD, n = 5. * p < 0.05 vs. untreated control group, # p < 0.05 vs. t-BHP-treated group. | PMC9777115 | cimb-44-00407-g004.jpg |
0.557607 | 9f9563bce55b4842ade7f2e7f672da4b | Effect of esculetin on the expression of apoptosis-related mRNA in HEK293 cells. The mRNA expression levels of Bax, bcl-2, caspase-3 and PARP. In the bar graphs, the values represent means ± SD, n = 5. * p < 0.05 vs. untreated control group, # p < 0.05 vs. t-BHP-treated group. | PMC9777115 | cimb-44-00407-g005.jpg |
0.478197 | 9ef5083b57d64b6d9d697530e5eea69f | Effect of esculetin on the expression of apoptosis-related proteins in HEK293 cells. The protein expression levels of Bax, bcl-2, cleaved caspase-3 and cleaved PARP. In the bar graphs, the values represent means ± SD, n = 5. * p < 0.05 vs. untreated control group, # p < 0.05 vs. t-BHP-treated group. | PMC9777115 | cimb-44-00407-g006.jpg |
0.453917 | b36bd5f8279e4da58ddcb8d25f387c75 | Block diagram of the proposed algorithm. | PMC9777432 | diagnostics-12-03084-g001.jpg |
0.502907 | a4b705bfbb754e8fa9d19c68dfb95515 | Pre-processing phase of input image. | PMC9777432 | diagnostics-12-03084-g002.jpg |
0.464498 | 7ddc149bd0784114984c6b57807c0da2 | Effect of applying CLAHE; (a) original; and (b) CLAHE processed. | PMC9777432 | diagnostics-12-03084-g003.jpg |
0.39366 | 7868be676ea14db790e378f233ee6349 | Custom design lightweight CNN architecture. | PMC9777432 | diagnostics-12-03084-g004.jpg |
0.467197 | ca34589c5a194f6789de7d2c06859925 | Framework 1-cascaded classifier architecture. | PMC9777432 | diagnostics-12-03084-g005.jpg |
0.434532 | f3021297547040748ddbe0630b2c46ba | Framework 2-Ensembled System Design. | PMC9777432 | diagnostics-12-03084-g006.jpg |
0.546287 | fdcb4e621f2a4e47a43e4cb10f32cf62 | Framework 3-LSTM working [34]. | PMC9777432 | diagnostics-12-03084-g007.jpg |
0.415198 | d6282fe064bf47ecb38b046a4276b5dc | Performance comparison of all three proposed frameworks using augmented data. | PMC9777432 | diagnostics-12-03084-g008.jpg |
0.438081 | 5703fc62584540bebe2c01a69f5d8c9c | Performance comparison of proposed frameworks against augmented vs. non-augmented training dataset. | PMC9777432 | diagnostics-12-03084-g009.jpg |
0.474933 | a94a3f2bf37a4dfda76d738b6a191a47 | Gene expression pattern with each GSE dataset and clustering of DEGs heat map of overlapping genes. (A) The volcano plot shows gene expression distribution of the microarray data in GSE36295, (B) GSE36693, and (C) GSE65216. The data was cut-off based on p-value < 0.01 and fold change (FC) log > 1. X-axis and y-axis present fold change log and log-transformed p-value, respectively. (D) Venn diagram for intersection of all up-regulated and down-regulated DEGs of GSE36295, GSE36693, and GSE65216 using the FunRich program. (E) Heat map exhibiting expression changed genes of up-regulated and down-regulated DEGs using GraphPad. | PMC9777496 | cimb-44-00398-g001.jpg |
0.477488 | d0be826e12a84f2ba5db254582de88d2 | PPI network of DEGs. (A) PPI network of up-regulated and (B) down-regulated genes created by the STRING site. (C) Clustering analysis of up-regulated DEGs and (D) down-regulated DEGs for selecting hub genes using the MCODE plug-in in cytoscape. | PMC9777496 | cimb-44-00398-g002.jpg |
0.495818 | 203af343131843748495e6aef21fb043 | Survival rate analysis between TNBC patients and up-regulated and down-regulated genes. (A) The correlation of survival rate and up-regulated MCM4, CDC7, CCNB2, and CHEK1 gene expression in TNBC patients. (B) The correlation of survival rate and down-regulated CXCL12, IL6ST, and IGF1 gene expression in TNBC patients. | PMC9777496 | cimb-44-00398-g003.jpg |
0.433502 | 0abffea72e354344b5a32679b2da7cac | Comparison of DEGs expression between non-TNBC and TNBC patients or cell lines. (A) The comparison of up-regulated DEGs, MCM4, CDC7, CCNB2, and CHEK1, in Healthy, non-TNBC, and TNBC from GSE65216. (B) The comparison of down-regulated DEGs, CXCL12, IL6ST, and IGF1, in Healthy, non-TNBC, and TNBC. (C) The mRNA expression comparison of up-regulated DEGs, MCM4, CDC7, CCNB2, and CHEK1, in non-TNBC cells and TNBC cells, which are MCF-7 and MDA-MB231. (D) The mRNA expression comparison of down-regulated DEGs, CXCL12, IL6ST, and IGF1, in non-TNBC cells and TNBC cells, which are MCF-7 and MDA-MB231. Columns are presented with the mean of SEM. Statistical analysis using one-way ANOVA was performed in (A,B), and t-test performed in (C,D); * p < 0.05, ** p < 0.005, *** p < 0.0005, **** p < 0.0001 vs. control in each group, n.s.: nonsignificant. | PMC9777496 | cimb-44-00398-g004.jpg |
0.419047 | 98ca2607f638488faf072f88b5b84c45 | The expression of CHK1 protein according to breast cancer subtypes. (A) CHK1 protein expression level with basal-like subtype of breast patients versus HER2-positive, luminal A, and luminal B from ‘The cancer proteome atlas’. (B) CHK1 protein expression comparison graph from ‘The cancer proteome atlas’. (C) The survival rate of breast cancer patients according to CHK1 protein expression using the KM plotter website. (D) Western blotting of CHK1 in non-TNBC cell lines, including MCF-7 and T47D, and TNBC cell lines, including MDA-MB453, MDA-MB231, BT549, and Hs578T. (E) The graph showing quantification of CHK1 expression normalized with endogenous GAPDH through Graphpad. Columns are presented with the mean of SEM. Statistical analysis using t-test was performed by comparing non-TNBC and TNBC; ** p < 0.005 vs. control in each group. | PMC9777496 | cimb-44-00398-g005.jpg |
0.434286 | d90521cd7617418d8334eb5f107d62aa | CHK1 induced epithelial to mesenchymal transition (EMT) in breast cancer cells. (A) The correlation of CHK1 with CDH1 and OCLN, which are epithelial marker genes. (B) Western blotting of EMT marker proteins in control and CHK1-overexpressing MCF-7 cells. (C) Fluorescence of phalloidin for observation of the morphology in control and CHK1-overexpression MCF-7 cells. (D) Migration assay with control and CHK1-overexpression MCF-7 cells for 48 h after scratch. (E) Transwell invasion assay with control and CHK1-overexpression MCF-7 cells for 48 h after incubation. (F) Western blotting of EMT marker proteins in control and CHK1-knockdown MDA-MB231 cells. (G) Fluorescence of phalloidin for observation of the morphology in control and CHK1-knockdown MDA-MB231 cells. (H) Migration assay with control and CHK1-knockdown MDA-MB231 cells for 16 h after scratch. (I) Transwell invasion assay with control and CHK1-knockdown MDA-MB231 cells for 12 h after incubation. Columns are presented with the mean of SEM. Statistical analysis using t-test was performed by comparing HA-Con and HA-CHK1 or siCon and siCHK1; * p < 0.05, ** p < 0.005, *** p < 0.0005, **** p < 0.0001 vs. control in each group. | PMC9777496 | cimb-44-00398-g006.jpg |
0.461017 | 7603b0ada8c64678836b748a89953b45 | Viscosity of myofibrillar protein mixtures with various additional levels of gelatin and transglutaminase. | PMC9777981 | gels-08-00822-g001.jpg |
0.477619 | bd7007e8efde42eb8c257dbef43ffcfb | SDS-PAGE of myofibrillar protein mixtures with various additional levels of gelatin and transglutaminase. | PMC9777981 | gels-08-00822-g002.jpg |
0.481151 | 72b3dff0149e4088b6fdc28cf2939267 | Microstructure of myofibrillar protein mixtures with various additional levels of gelatin and transglutaminase (TGase). (a) Control. (b) Gelatin 0.5 g/100 g. (c) Gelatin 1.0 g/100 g. (d) Gelatin 1.5 g/100 g. (e) Control with TGase. (f) Gelatin 0.5 g/100 g with TGase. (g) Gelatin 1.0 g/100 g with TGase. (h) Gelatin 1.5 g/100 g with TGase. | PMC9777981 | gels-08-00822-g003.jpg |
0.412353 | aa014106dbaa4e18963bd62351fe667a | Cooking loss (g/100 g) of restructured ham with gelatin and transglutaminase. a,b Means (n = 3) with the same superscripts in the same row are not different (p > 0.05). | PMC9777981 | gels-08-00822-g004.jpg |
0.57163 | e873a015f8224c3e98aa81d09549ae37 | Expressible moisture (a) and Allo–Kramer value (b) of restructured ham with gelatin and transglutaminase. a–c Means (n = 3) with the same superscripts in the same row are not different (p > 0.05). | PMC9777981 | gels-08-00822-g005.jpg |
0.458541 | 2a8c410b6dee4d91aa60f5b774c6dda8 | FTIR of restructured ham with gelatin and transglutaminase. | PMC9777981 | gels-08-00822-g006.jpg |
0.4708 | 0b8c685132224e39a66569d8f13b6cac | Protein surface hydrophobicity (H0) and the contents of peptides by sulfhydryl (-SH) groups on restructured ham with gelatin and transglutaminase. a,b Means (n = 3) with the same superscripts in the same row are not different (p > 0.05). | PMC9777981 | gels-08-00822-g007.jpg |
0.498631 | 36f2ce29d5194cc091270ffe4421cea3 | Effects of different treatments on MP gel strength and WHC, the bands from left to right are the control group, 1% KSDF–MP treated with ultrasonic energy at 0 W, 200 W, 400 W, and 600 W, respectively, different letters in the same indicator indicate significant differences (p < 0.05). | PMC9778066 | foods-11-03998-g001.jpg |
0.566927 | 638a7c6138ad4916a549bcff23756430 | Storage modulus (G’) of MP gel with different treatments. | PMC9778066 | foods-11-03998-g002.jpg |
0.443717 | 8965a50418064da6aecefe9a90834c36 | Effects of different groups on the water relaxation time (A) and relative content of water with different states of composite gels (B). | PMC9778066 | foods-11-03998-g003.jpg |
0.426164 | be46c8f73e724fed8fc48d75ab5b7e45 | SEM photographs of the different treatment groups on MP gel, (A–E) indicate the gel with CK, 1%, 1%-0 W, 1%-200 W, 1%-400 W, and 1%-600 W, respectively. | PMC9778066 | foods-11-03998-g004.jpg |
0.469334 | 05901b3d0b4f489190ec15fe353132da | Effect of different treatments on the solubility (A), surface hydrophobicity (B), and total sulfhydryl groups (C). Different letters at solubility, BPB bound content and Total SH differ significantly (p < 0.05). | PMC9778066 | foods-11-03998-g005.jpg |
0.445369 | f4a82b2e671a4a8894e7219ebbb5f6ec | SDS-PAGE of MP samples with different treatments (A), the MP gels after different treatments (B). | PMC9778066 | foods-11-03998-g006.jpg |
0.437874 | e845a5af5a254e2194b79bb8231e359e | Effect of different treatments on the FTIR (A) and secondary structure (B) of MP. Different letters in the same color group represent significant differences (p < 0.05). | PMC9778066 | foods-11-03998-g007.jpg |
0.457678 | b90c262d48fa40f4a5cd9f4de41bc475 | Effect of different treatments on MP chemical forces. A-D indicate the content of ionic bond, hydrogen bond, hydrophobic interaction and disulfide bond for different groups of samples, respectively. Different letters indicate significant differences between the chemical forces of samples from different groups (p < 0.05). | PMC9778066 | foods-11-03998-g008.jpg |
0.446234 | 60a5ac9980b341dcbacdf46e33cd2858 | Clinical presentation of our patient. | PMC9778367 | genes-13-02266-g001.jpg |
0.382567 | 8f938a5375464a91861f73f3efbff548 | (a) Pedigree of the family; (b) analysis of X chromosome inactivation in our patient: fragment analysis results for the AR locus. Fragment analysis of undigested (− HpaII) and digested (+ HpaII) DNA from the proband (II:1) and her father (I:1). After HpaII digestion, DNA from the male individual (I:1) cannot be amplified with PCR, while DNA from the proband shows a skewed (about 87%) X chromosome inactivation. | PMC9778367 | genes-13-02266-g002.jpg |
0.447747 | 595bf39cfb4c46f888703073821c62e4 | Schematic structure of the KDM5C gene and its known pathogenic variants. Exons are in scale; introns are not in scale. Exons belonging to isoform NM_004187.5 are shown by grey rectangles. The mutation found in the present patient is shown with a grey background. Truncating (i.e., nonsense and frameshift) and splicing variants are shown at the top, while non-synonymous and in-frame alterations are shown at the bottom. E: exon. Proteins’ functional domains are shown as colored rectangles under the gene scheme and include ARID: helix–turn–helix motif-based DNA-binding domain; JmjC: catalyzes demethylation of H3K4me3 to H3K4me1 JmjN: interacts with JmjC PHD: histone-methyl-lysine binding motif. | PMC9778367 | genes-13-02266-g003.jpg |
0.438167 | 4c5bc98b53024e6fb37d3e2575881cec | Minor allele frequency (MAF) of 180 genotyping array markers throughout the gene regions of (a) NEBL chr2:11,650,000 to chr2:12,650,000, (b) LPHN2 chr6:65,109,000 to chr6:66,110,000, (c) HDGFL1 chr7:40,745,000 to chr7:41,746,000, (d) SORBS2 chr16:44,526,000 to chr16:45,527,000 and (e) HTR1F chr31:0 to chr31:773,000. (f) Gene regions marked across the x-axis, with variant locations marked above. | PMC9778376 | genes-13-02292-g001.jpg |
0.443238 | 0779e88204b8458098a7224a4b03f27f | Characteristics of 180 Cavalier King Charles Spaniels (CKCS) at two low diversity loci as assayed using genotyping arrays. (a) Minor allele frequency (MAF) throughout the NEBL gene region chr2:11,650,000 to chr2:12,650,000, (b) MAF throughout the HDGFL1 region chr7:40,745,000 to chr7:41,746,000. (c) Regional pairwise linkage disequilibrium by r2 (LD) (grey dots) with the NEBL3 variant at chr2:11 979 724 (red dot) and other NEBL variant loci shown as blue dots. (d) Regional pairwise LD (grey dots) with the HDGFL1 variant predictor chr7:41 248 384 (coding variant at 7:41 245 057) (blue dot). Shaded regions represent the respective gene spans. | PMC9778376 | genes-13-02292-g002.jpg |
0.441945 | a4654383f420478f8cd471d16ddadd4a | Comparison of age-adjusted LA:Ao measurements for 178 CKCSs at variant representative array markers for (a) HDGFL1 (b) NEBL1-3 (NEBL1, NEBL2 and NEBL3 grouped as they are in perfect LD, see Figure 2) (c) NEBL4 (d) NEBL5 and (e) NEBL6. Plots include median line, mean marker and quartile ranges. Alternate homozygote was only observed at HDGFL1 predictive array marker. | PMC9778376 | genes-13-02292-g003.jpg |
0.40691 | 71e346f41b5e45dab2ea6aec3510f8c4 | Comparison of age-adjusted LVIDdN measurements for 178 CKCSs at variant representative array markers for (a) HDGFL1 (b) NEBL1-3 (NEBL1, NEBL2 and NEBL3 grouped as they are in perfect LD, see Figure 2) (c) NEBL4 (d) NEBL5 and (e) NEBL6. Plots include median line, mean marker and quartile ranges. Alternate homozygote was only observed at HDGFL1 predictive array marker. | PMC9778376 | genes-13-02292-g004.jpg |
0.46992 | dc0a4a47a93448ef9e7670742ac88b00 | PRISMA Flow Diagram on selection and inclusion of studies. | PMC9779018 | ijerph-19-16722-g001.jpg |
0.417259 | 9fe72e4094434c1b92afbcb97822adee | (a,b): showing risk of bias graph (a) and risk of bias summary (b) of included studies [29,30,31,33,34,35,36,37]. | PMC9779018 | ijerph-19-16722-g002a.jpg |
0.418246 | 8999586c11874ddc98b6189aa6852576 | Location of the accident site: (a) Guizhou Province in China; (b) Qiandongnan Miaodong autonomous prefecture; (c) The disaster site in Rongjiang County, Guizhou Province; (d) Satellite image of the accident site. | PMC9779358 | ijerph-19-17003-g001.jpg |
0.471455 | 74a2d0c8c7c44e9fb450adcb7daef09e | Accident scene (Source: https://www.163.com/dy/article/H9PN38TB0552ZFBN.html, accessed on 4 June 2022). | PMC9779358 | ijerph-19-17003-g002.jpg |
0.472858 | b73de37542cc43e7af87aeae305e4ccb | Rescue operation: (a) Firefighters rescuing trapped people; (b) Staff cleaning up the accident train; (c) Track debris flow removal; (d) Clearing debris flow intruding into the line (Source: Xinhua News Agency https://haokan.baidu.com/v?pd=wisenatural&vid=2796812779194810025, accessed on 24 June 2022). | PMC9779358 | ijerph-19-17003-g003.jpg |
0.408734 | 2a46f556ee624f8bb9a44644e343a167 | Accident simulation analysis diagram. | PMC9779358 | ijerph-19-17003-g004.jpg |
0.461266 | 2254c329d32c402983c5c8d78492525f | Different types of debris flow under different terrain conditions. | PMC9779358 | ijerph-19-17003-g005.jpg |
0.437429 | 54f7a94d2f1f495eafc02dd2813c5131 | Rainfall situation: (a) Rain warning map of Rongjiang County the day before the accident; (b) Rainfall in Rongjiang County within 12 h by time. | PMC9779358 | ijerph-19-17003-g006.jpg |
0.557043 | 67cf840607d846baba282de744a71d82 | Logic diagram of debris flow analysis and judgment that caused this derailment accident. | PMC9779358 | ijerph-19-17003-g007.jpg |
0.395321 | 95b60f00ac544a2faa181d11ea64e6df | Safeguard: (a) Rongjiang Station tunnel exit; (b) protective facilities for Xi’an Chengdu Railway Construction to prevent rockfall. | PMC9779358 | ijerph-19-17003-g008.jpg |
0.520654 | e3bd971334204fdeb82202b749924d92 | Flow chart of landslide debris flow warning. | PMC9779358 | ijerph-19-17003-g009.jpg |
0.580811 | 26e9095e072642c3af3fa2829cf7b51a | Evaluation index system of debris flow risk in hydropower project. | PMC9779358 | ijerph-19-17003-g010.jpg |
0.471104 | 3b23b4bb9c994674ac9fcbfa03bb2184 | Molecular structure of 7. Hydrogen atoms (except hydrogen atom on N(2)) and solvate molecule of toluene omitted for clarity. Selected bond Lengths (Å) and angles (deg) for 7: Ga(1)-O(3A) 1.839(14), Ga(1)-O(1) 1.874(3), Ga(1)-O(2) 1.878(3), Ga(1)-O(3B) 1.89(2), Ga(1)-N(2) 2.091(5), Ga(1)-N(1) 2.119(4), O(3A)-Ga(1)-O(1) 118.7(4), O(3A)-Ga(1)-O(2) 108.6(4), O(1)-Ga(1)-O(2) 132.65(15), O(1)-Ga(1)-O(3B) 108.9(6), O(2)-Ga(1)-O(3B) 118.3(6), O(3A)-Ga(1)-N(2) 98.7(5), O(1)-Ga(1)-N(2) 88.54(18), O(2)-Ga(1)-N(2) 82.62(17), O(3B)-Ga(1)-N(2) 98.6(5), O(3A)-Ga(1)-N(1) 95.9(5), O(1)-Ga(1)-N(1) 89.12(15), O(2)-Ga(1)-N(1) 87.71(14), O(3B)-Ga(1)-N(1) 96.7(5), N(2)-Ga(1)-N(1) 164.46(17). | PMC9779430 | ijms-23-15649-g001.jpg |
0.534394 | 6de8d5999a904b2fb47708e49f32eedd | Synthesis of complexes 4–6. | PMC9779430 | ijms-23-15649-sch001.jpg |
0.49961 | 4025ad4520104d2f8b61e3ec079395b2 | The plausible synthetic way for the formation of complex 7. | PMC9779430 | ijms-23-15649-sch002.jpg |
0.489108 | 27e799bdf478478e9e5d5e2c763e6e37 | Weighted gene co-expression network analysis (WGCNA). (A) The Gene clustering tree (dendrogram) in OB. (B) Module–trait relationships in OB. Each cell contains the corresponding correlation and p-value. (C) The Gene clustering tree (dendrogram) in AD. (D) Module–trait relationships in AD. Each cell contains the corresponding correlation and p-value. OB, obesity; AD, Alzheimer’s disease. | PMC9780446 | fendo-13-1072955-g001.jpg |
0.394549 | 0f3c80389570471b923f4b363c3e295d | GO enrichment analysis of the modular genes. (A) The GO biological process analyses of three positive OB-related modules. (B) The GO biological process analyses of two negative OB-related modules. (C) The GO biological process analyses of one positive AD-related modules. (D) The GO biological process analyses of three negative AD-related modules. OB, obesity; AD, Alzheimer’s disease; GO, gene ontology. | PMC9780446 | fendo-13-1072955-g002.jpg |
0.479611 | 0eef421f81114941ba565d29923c38e1 | Venn diagram and GO enrichment analysis. (A) The shared genes between positive OB related and AD related modules. (B) GO analysis of shared genes between positive OB related and AD related modules. (C) The shared genes between negative OB related and AD related modules. (D) GO analysis of shared genes between negative OB related and AD related modules. OB, obesity; AD, Alzheimer’s disease. | PMC9780446 | fendo-13-1072955-g003.jpg |
0.459322 | fece3da00a20458289127751ffcc1902 | PPI network and co-expression network of hub genes. (A) PPI network diagram of GS1-UP. (B) GeneMANIA analysis of hub genes and their co-expression genes in GS1-UP. (C) PPI network diagram of GS1-DOWN. (D) GeneMANIA analysis of hub genes and their co-expression genes in GS1-DOWN. GS1, gene set 1. | PMC9780446 | fendo-13-1072955-g004.jpg |
0.415735 | 2de90c215a644b01b20991af87f8b3a0 | Venn diagram and enrichment analysis of the common DEGs. (A) The Venn diagram of the upregulated genes in GSE44000 and GSE122063. (B) The GO biological process analyses of common-upregulated genes. (C) The KEGG pathway of common-upregulated genes. (D) The Venn diagram of the downregulated genes in GSE44000 and GSE122063. (E) The GO biological process analyses of common-downregulated genes. (F) The KEGG pathway of common-downregulated genes. GO, gene ontology; DEGs, differentially expressed genes. | PMC9780446 | fendo-13-1072955-g005.jpg |
0.428843 | cec7421ec15c4d6bb5e4d1f8fd7a76f9 | Confirmation of the different expression of candidate targets in animal models. (A–E) AD mice were subjected to hippocampal-dependent cognitive testing using the MWM. Data in (A, B) show the MWM training and data in (C, D) show the MWM testing. Data in (E) show mice swimming speeds. (F) Weight in in WT and OB mice. (G) The expressions of Mmp9, Pecam1, C3ar1, Il1r1, Ppargc1α, and Coq3 were analyzed by qPCR analysis in cortex tissues from AD and NC mice. (H) The expressions of Mmp9, Pecam1, C3ar1, Il1r1, Ppargc1α, and Coq3 were analyzed by qPCR analysis in subcutaneous adipose tissues from OB and WT mice. MWM, Morris water maze; WT, wild type; OB, obesity; NC, negative control; AD, Alzheimer’s disease. *p <0.05, **p <0.01, ***p <0.001. | PMC9780446 | fendo-13-1072955-g006.jpg |
0.458595 | 652ab4725b044fdd9840025a3263acd8 | Vertical distribution patterns of the venerable trees in Sichuan in relation to: (a) tree abundance, and (b) species richness. The scatter points were fitted using a linear function. | PMC9780929 | plants-11-03581-g001.jpg |
0.452103 | 6421b1ebe0c44324bb461cbf305ba755 | Ordination of geographical distribution and bioclimatic factors of venerable trees in Sichuan using redundancy analysis (RDA). See Table S1 for the meaning of bioclimatic factors. The solid arrowhead indicates the longitude and latitude as the dependent variable, and the hollow arrowhead indicates the bioclimatic factor as the independent variable. The included angle indicates the correlation (acute angle for positive correlation, obtuse angle for negative correlation, and right angle for no correlation). | PMC9780929 | plants-11-03581-g002.jpg |
0.422349 | 05455ad794f54213aca120b2f56d40b8 | Distribution pattern of six categories of habitat suitability of venerable trees in Sichuan based on the current climate scenario. The results were obtained from the model predictions of BIOCLIM using DIVA-GIS. Different colors, from grey to red, denote the gradation from not suitable to excellent habitat suitability, and hence the probability of tree occurrence. The A, B and C annotations indicate the three largest patches of excellent suitability. | PMC9780929 | plants-11-03581-g003.jpg |
0.463735 | 2cfc4f6b06b34731a38e54cb7fc9cb5e | The potential biogeographical range of venerable trees in Sichuan under a future climate change scenario (double CO2 concentration according to the CCM3 model). Habitat suitability is classified into six categories denoted by different colors. The A, B and C annotations indicate the locations with a concentration of excellent habitat suitability. | PMC9780929 | plants-11-03581-g004.jpg |
0.43922 | 42bf11d5fcdd422c9ba0708873456956 | Photographs of main venerable trees and their habitats in Sichuan Province. Photo (A–C) and (E,F) denote Cupressus funebris (Cupressaceae); (D) and (H) Ginkgo biloba (Ginkgoaceae); (G) Machilus nanmu (Lauraceae); (I) Cinnamomum camphora (Lauraceae); (J) Pterocarya stenoptera (Juglandaceae); and (K) Morus australis (Moraceae). | PMC9780929 | plants-11-03581-g005.jpg |
0.456513 | 4b89c78f30b041d4a776cf14d26a4a38 | Prolactinoma with bleeding areas inside. Pituitary MRI at diagnosis. (a). Noncontrast sagittal T2-weighted image. (b). Noncontrast coronal T2-weighted image. (c). Noncontrast sagittal T1-weighted image—diffuse bleeding (hyper T1—arrows). (d). Postcontrast sagittal T1-weighted image. (e). Postcontrast coronal T1-weighted image. (f). Postcontrast coronal T1-weighted image. Pituitary fossa—anteroposterior diameter: 13 mm; transverse diameter: 17 mm; oval-shaped lesion 12.8/10 mm; heterogeneous high-signal T2-weighted (a,b); T1-weighted (c,d), located in the adenohypophysis with high signal in T1; weighted areas corresponding to the subacute intratumoral hemorrhage due to the presence of methemoglobin, heterogeneous enhancement (e,f), extending superiorly to the pituitary fossa (b,d,e,f) with mild compression of the optic chiasma (b,d,f). | PMC9780970 | jpm-12-02061-g001.jpg |
0.431312 | ceea9b634c4a40ef88d3067ecc27e449 | Pituitary MRI performed 4 years later when the patient was 6 weeks pregnant. (a). Non-contrast sagittal T2-weighted image. (b). Non-contrast coronal T2-weighted image. (c). Non-contrast sagittal T1-weighted image. (d). Non-contrast coronal T1-weighted image. (e). Post-contrast sagittal T1-weighted image. (f). Post-contrast coronal T1-weighted image. Favorable evolution of the pituitary adenoma located in the left parapituitary in moderate high-signal T2-weighted (a,b), low-signal T1-weighted (c,d), and non-gadolinium enhanced (e,f) with dimensions reduced to 2.1/2 mm. | PMC9780970 | jpm-12-02061-g002.jpg |
0.42854 | d4150d89d89b4a7b81879a7f49bcdbd8 | Pituitary MRI performed 6 months after delivery. (a). Non-contrast sagittal T2-weighted image. (b). Non-contrast coronal T2-weighted image. (c). Non-contrast sagittal T-weighted image. (d). Non-contrast coronal T1-weighted image. (e). Post-contrast sagittal T1-weighted image. (f). Post-contrast coronal T1-weighted image. The imaging aspect was the same as that at the beginning of the pregnancy; the pituitary adenoma was located in the left parapituitary in moderate high-signal T2-weighted (a,b), low-signal T1-weighted (c,d), and non-gadolinium enhanced (e,f). The diameter of the pituitary adenoma was 2/2 mm. | PMC9780970 | jpm-12-02061-g003.jpg |
0.576014 | 5452f1ec02244053a1b76f59d5b6e2b2 | X-ray structure of the asymmetric part of SIL-BS. | PMC9781643 | pharmaceutics-14-02838-g001.jpg |
0.549886 | 1be107aefaf64a5dbfba1ec397a5a0e3 | 1D supramolecular chain in the crystal structure of SIL-BS formed by intermolecular hydrogen bonds N-H···O and O-H···O. | PMC9781643 | pharmaceutics-14-02838-g002.jpg |
0.415455 | 99cf22de49ab43299510987e85fa4236 | The viability of HepG2 (A) and MCF7 (B) cells, assessed by XTT assay. Dose response curves used to determine IC50 of SIL-BS for HepG2 (C) and MCF7 (D) cells. Cells were treated for 48 h with increasing concentrations (4.68 μg/mL to 300 μg/mL) of SIL M or SIL-BS. Merged Live/Dead cell images of HepG2 and MCF7 cells exposed to SIL M and SIL-BS for 48 h (E). Live cells were stained with calcein AM (green) and dead cells are detected with propidium iodide (red). Scale bar: 200 μm. The percentage of the dead to total cell number determined by Live/Dead cell assay for HepG2 (F) and MCF7 (G). Statistical significance: ** p < 0.01, **** p < 0.001 vs. control, ###
p < 0.001 and #### p < 0.0001 vs. corresponding SIL M. | PMC9781643 | pharmaceutics-14-02838-g003.jpg |
0.447297 | 0988c2f991674d3ea4bfd3c7aab8977e | UV-vis spectra of SIL M (a) and SIL-BS (b) during and after titration with protein (BSA) solution 10%. | PMC9781643 | pharmaceutics-14-02838-g004.jpg |
0.410761 | 8245198bb17e4a329a55b2ffd4016020 | Emission spectra of the protein (BSA) during and after titration with SIL M (a) and SIL-BS (b) solutions 10−3 M. | PMC9781643 | pharmaceutics-14-02838-g005.jpg |
0.44845 | f254db8b6b5849a5b522ab1570b68ff9 | Stern–Volmer plot at λem = 338 nm obtained from steady-state measurements (λexc=280 nm) in PBS pH 7.4 (1% DMSO SIL-BS) (a) and the double-log plots of SIL-BS quenching effect on BSA fluorescence (b). | PMC9781643 | pharmaceutics-14-02838-g006.jpg |
0.436628 | c3e6caaf34c24421a837f4f6d220bab6 | Circular dichroism spectra of SIL M (a) and SIL-BS (b) in PBS solution of HSA at pH 7.4. | PMC9781643 | pharmaceutics-14-02838-g007.jpg |
0.415012 | a7e5d6293a5f485f9da9c8aa32b1078a | Molecular rendering of the best docked pose showing the interaction between HSA (receptor) and SIL M ligand; global docking view and zoom image. | PMC9781643 | pharmaceutics-14-02838-g008.jpg |
0.421031 | 958fd1f8b0fc488c8df0fce351386cb0 | Molecular rendering of the best docked pose showing the interaction between HSA (receptor) and SIL-BS ligand; global docking view and zoom image. | PMC9781643 | pharmaceutics-14-02838-g009.jpg |
0.451037 | d8d7e4e539ef43448ba31244a0570e85 | Molecular rendering of the best docked pose showing the interaction between MPRO receptor (COVID-19 main protease) and silatrane SIL M. | PMC9781643 | pharmaceutics-14-02838-g010.jpg |
0.439891 | 99afe3c739d0482b9d0091ef65ed86a1 | The synthetic pathway to prepare the silatrane derivative SIL-BS. | PMC9781643 | pharmaceutics-14-02838-sch001.jpg |
0.518376 | aa9cf2e2209f4b49b909dfb6a0214836 | The bioreductive pathway of nitro group. | PMC9781643 | pharmaceutics-14-02838-sch002.jpg |
0.431866 | cb60901ec8c54b3b9f394963acebc236 | A general schema of the IBD mapping process that can help identify shared haplotypes carrying rare causal variants. Haplotypes of the same color are inherited from the same ancestor. | PMC9782725 | nihms-1852986-f0001.jpg |
0.407625 | 18dacbb699814bccbab067d9f9faa73d | R2 scores among clustering metrics across all simulations. | PMC9782725 | nihms-1852986-f0002.jpg |
0.545283 | aa9cb7d24abe44d9b3356e405d1c6dd0 | The effects of number of simulated clusters, false-positives, and false-negatives edges on the performance of algorithms in terms of (A) power, (B) AMI, and (C) modularity. | PMC9782725 | nihms-1852986-f0003.jpg |
0.414276 | 5963872cf8d04668ad94025ba4396b25 | The recovery rate of local IBD graphs when tagging rare genetic variants captured by whole-exome sequencing data in the UK Biobank compared to a null model with randomized clusters. | PMC9782725 | nihms-1852986-f0004.jpg |
0.411412 | f6c5cedeb11444a09378e952309ceb58 | Relative size and the number of pests in the dataset. Relative scale represents the ratio of the pest pixel size to the whole image size; number represents the number of pests. | PMC9783619 | fpls-13-973985-g001.jpg |
0.506272 | 2171f8f9b1524b559f574d0015a8e5e6 | The left image shows masking and adhesion between pests. The right image shows incomplete image annotation. | PMC9783619 | fpls-13-973985-g002.jpg |
0.421994 | 30f2cf3947204fa1990da5cd2fc18008 | Structure diagram of the pest detection and counting framework based on the Pest-YOLO model. | PMC9783619 | fpls-13-973985-g003.jpg |
0.475594 | a85922baea9d4ca6bd1d65cb01c55e6f | Adjacent block diagram detection; (x, y) and (p, q) are the coordinates of the bounding boxes’ vertices. | PMC9783619 | fpls-13-973985-g004.jpg |
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