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0.404601 | ca3c718a83a443779a61b571852ad8dd | Distribution of sarcopenic obesity publications by year and projection of articles in the next years using the nonlinear cubic model. | PMC10313289 | medi-102-e34244-g001.jpg |
0.447189 | 8e52a1058de94a7ead53a6493708af6f | Global distribution of publications on sarcopenic obesity. | PMC10313289 | medi-102-e34244-g002.jpg |
0.440252 | a153966b467344b484f0d5648f641c27 | Network visualization map of cluster analysis and density map on worldwide cooperation on sarcopenic obesity. | PMC10313289 | medi-102-e34244-g003.jpg |
0.532315 | 54ca8001d52d470f8a63161e1154767e | Keyword cluster analysis, keyword trend, and citation network visualization map of sarcopenic obesity. | PMC10313289 | medi-102-e34244-g004.jpg |
0.451807 | 26fe9cc2984941e7a5f72f599b6a16c0 |
Computed tomography (CT) scan of the brain showing large heterogeneous midline mass containing irregular areas of high attenuation (calcification), low attenuation (fat), and intermediate attenuation (soft tissue). (
A
,
B
) It causes moderate asymmetric dilatation of the right lateral ventricle with a shift of the midline structures to the right. Magnetic resonance imaging (MRI) of the brain showing large well-defined, multilobulated extra-axial solid cystic lesion in the region of quadrigeminal cistern with the pineal gland not separately visible from the lesion. The solid component of the lesion appeared isointense on T1-weighted images in (
C
) axial view and (
D
) sagittal view, heterogeneously hyperintense on T2-weighted images in (
E
) axial view and (
F
) coronal view, with multiple foci of calcification. (
G
) The lesion was heterogeneously enhancing on postcontrast administration. The peripheral cystic component appeared iso-hypointense on T1-weighted images and heterogeneously hyperintense onT2-weighted images. (
H
) Diffusion tensor imaging (DTI) revealed displacement of bilateral corticospinal tracts, left superior longitudinal fasciculus, left inferior longitudinal fasciculus, and splenium.
| PMC10313429 | 10-1055-s-0043-1768603-i2310003-1.jpg |
0.410431 | 83c9cbd1291b42c78b921a37f56f8fd3 |
Intraoperative photographs showing (
A
) a multiloculated cystic component with straw colored fluid and (
B
) heterogeneous soft tissues, including hemorrhagic foci, yellowish cheesy soft parts and calcification.
| PMC10313429 | 10-1055-s-0043-1768603-i2310003-2.jpg |
0.407979 | 8c8d620950e44bfe8051c4393766e067 |
Representative photomicrographs (
A–I
: HE;
J,K
: immunohistochemistry;
L,M
: electropherogram). The tumor shows heterogeneous morphological areas (
A,B
: HE, ×10) composed predominantly of admixed areas of mature adipose tissue and skeletal muscles (
C
: HE, ×100), columnar epithelium-lined structures (
D,E
: HE, ×200), chondroid lobule (
D
: HE, ×200), dilated epithelium-lined ducts with mucoid material (
F
: HE, ×100). Additionally, a morphologically distinct cellular area (as represented in the lower half in the
G
: HE, ×100) composed of packed glands (
H
: HE, ×100) which are architectural and nuclear atypia (
I
: HE, ×200). Luminal necrosis noted (
I
: HE, ×200). Electropherograms showing wild-type BRAFV600 sequence (
L
) and exon 3 KRAS sequence (
M
).
| PMC10313429 | 10-1055-s-0043-1768603-i2310003-3.jpg |
0.483009 | 7537c144c2cd47f4ad7b56f434b7fa91 |
Postoperative magnetic resonance imaging (MRI) (
A
) T1-weighted and (
B
) postcontrast axial images showing gross total resection of the tumor with a small remnant near the mesial temporal lobe. (
C
) Postoperative position emission tomography (PET) scan showing a small remnant.
| PMC10313429 | 10-1055-s-0043-1768603-i2310003-4.jpg |
0.509514 | 658ae98af64c4ea6b7d34870dd512686 | Increased antigenic sites on RSV prefusion F trimerModel diagram depicting antigenic sites on RSV F (A) prefusion and (B) postfusion timers. Sites ∅, III, and V are all present on the prefusion trimer and not the postfusion trimer. Figure generated by Laura Pietrok and created with BioRender.com. | PMC10313928 | gr1.jpg |
0.466261 | ad0299cb528246ada3f00d327f7af402 | Flow diagram of patient enrollment in the study. CPAOA, cardiopulmonary arrest on arrival; iCa, blood ionized calcium concentration; ISS, Injury Severity Score; MTP, massive transfusion protocol. | PMC10314608 | tsaco-2022-001083f01.jpg |
0.426408 | 410923c22a37445a90230b86afc1c2aa | Receiver operating characteristic curve for evaluating accuracy of predicting 28-day mortality from minimum blood ionized calcium concentration within 24 hours of admission and estimation of the optimal cut-off values with application of Youden’s index. | PMC10314608 | tsaco-2022-001083f02.jpg |
0.438506 | 7f05ee59b8b64582942d4d8e88994a8c | Data to report in line with the Consolidated Standards of Reporting Trials. | PMC10314705 | bmjopen-2023-076101f01.jpg |
0.434193 | ad53a420c17349e881e36eba9300f437 | Specimen dimensions and opacity | PMC10315095 | 1852-4834-34-2-143-g001.jpg |
0.493819 | 8df1f1c1dc8c4484a313a06778af2e1b | a) Transmittance with HT discs. b) Transmittance with MO discs | PMC10315095 | 1852-4834-34-2-143-g002.jpg |
0.706137 | 8e3e0dd5ce684097b1075efd00df578d | Manufacturer information of curing units | PMC10315095 | 1852-4834-34-2-143-g003.jpg |
0.57519 | 556f5acd82f943b980525982aee34550 | Transmittance (Ceramic luminance/Source luminance). Mean (SD). | PMC10315095 | 1852-4834-34-2-143-g004.jpg |
0.417447 | df6d5d630b364c4ba71a087aeaaa318a | Three doses of inactivated COVID-19 vaccination schedule and sample collection. | PMC10315467 | fimmu-14-1174379-g001.jpg |
0.417651 | 3b7d504522c44d67a5c1140f982228ed |
(A) The geometric mean titer (GMT) of SARS-CoV-2 specific neutralizing antibodies (nAbs) among PLWH and HC at multiple time points. (B) The seroconversion rate of SARS-CoV-2 specific nAbs among PLWH and HC at multiple time points. (C) The GMT of SARS-CoV-2 specific IgM among PLWH and HC at multiple time points. (D) The GMT of SARS-CoV-2 specific IgG among PLWH and HC at multiple time points. D0B1: Day 0 before the first dose; D0B2: Day 0 before the second dose; D14A2: Day 14 after the second dose; D42A2: Day 42 after the second dose; D102A2: Day 102 after the second dose; D0B3: Day 0 before the booster dose; D14A3: Day 14 after the booster dose; D30A3: Day 30 after the booster dose; D60A3: Day 60 after the booster dose; D90A3: Day 90 after the booster dose; D120A3: Day 120 after the booster dose; D180A3: Day 180 after the booster dose. | PMC10315467 | fimmu-14-1174379-g002.jpg |
0.42909 | c711eee325f64637a25bff44557a2c0e |
(A) The frequency of IFN-γ+CD4+T cells among PLWH and HC at multiple time points. (B) The frequency of IFN-γ+CD8+T cells among PLWH and HC at multiple time points. (C) The frequency of TNF-α+CD4+T cells among PLWH and HC at multiple time points. (D) The frequency of TNF-α+CD8+T cells among PLWH and HC at multiple time points. D14A2: Day 14 after the second dose; D0B3: Day 0 before the booster dose; D14A3: Day 14 after the booster dose; D30A3: Day 30 after the booster dose; D180A3: Day 180 after the booster dose. | PMC10315467 | fimmu-14-1174379-g003.jpg |
0.452651 | d41a651aa4064f668541c54841d7c0f8 |
(A) The frequencies of IFN-γ-secreting and TNF-α-secreting CD4+ and CD8+ T cells in PLWH at multiple time points. (B) The frequencies of IFN-γ-secreting and TNF-α-secreting CD4+ and CD8+ T cells in HC at multiple time points. D14A2: Day 14 after the second dose; D0B3: Day 0 before the booster dose; D14A3: Day 14 after the booster dose; D30A3: Day 30 after the booster dose; D180A3: Day 180 after the booster dose. | PMC10315467 | fimmu-14-1174379-g004.jpg |
0.52009 | 4dda0497c2384cf4874454eb1ca90ca8 | Magnetic resonance image at the age of 41 (a) shows mild stenosis of bilateral middle cerebral arteries (MCAs). At ages 45 (b) and 49 (c), there are no significant changes in the MCAs. At the age of 53 (d), there is an occlusion of the right MCA. | PMC10316151 | SNI-14-192-g001.jpg |
0.443789 | 821f83926dcc420bb88e5d9774a042a5 | 99 m-Tc single-photon emission computed tomography (SPECT) images at the age of 41 show no differences in cerebral blood flow (CBF) at rest (a) and no hemodynamic compromise after acetazolamide challenge (b). | PMC10316151 | SNI-14-192-g002.jpg |
0.435116 | 38d45f3a00774cc4922ea5c3711b8368 | T1-weighted (a), T2-weighted (b), and fluid-attenuated inversion recovery (c) magnetic resonance imaging at the age of 53 show no abnormalities in the brain parenchyma. | PMC10316151 | SNI-14-192-g003.jpg |
0.489178 | 0c62b85680d04d38afc458574c5f5740 | SPECT images at the age of 53 show a subtle decrease in CBF in the right compared to the left hemisphere at rest (a) and hemodynamic compromise after acetazolamide challenge (b). | PMC10316151 | SNI-14-192-g004.jpg |
0.388194 | 012083c732cc4f54a6fa72ba7f04440c | Digital subtraction angiograms at the age of 53 show occlusion of the right middle cerebral arteries and the abnormal vascular network around the occluded segment. The vessel diameter of the M2 segment is almost normal. There is no stenosis in the supraclinoid portion of the internal carotid artery (a: Anterior-posterior [A-P] view, b: Lateral view). Left carotid angiogram in normal (c: A-P view, d: Lateral view). (e) Rotational angiograms clearly show a plexiform network formation replacing the M1 occlusion (arrow). | PMC10316151 | SNI-14-192-g005.jpg |
0.472001 | 1f01bba1b0514dd483aec2e7589225b7 | Structures of Ascaphin-8 and stapled derivatives. The key residues are colored blue. The Cys residues are colored red and two Cys were cross-linked by dibromo substituted benzene. | PMC10318414 | d3ra02743k-f1.jpg |
0.446228 | b098c4dbbea94245a43e6dda76af8690 | CD spectra of Ascaphin-8 and its derived peptide. | PMC10318414 | d3ra02743k-f2.jpg |
0.421018 | c4ef44467a904b369620e82c4d929a4e | (A) Detection of haemolysis of rabbit erythrocytes by aromatic thioether staple peptide. (B) Detection of anti-enzymatic hydrolysis ability of Ascaphin-8, A8-2-o and A8-4-Dp. (C) Effects of Ascaphin-8, A8-2-o, and A8-4-Dp on lateral migration and growth of MCF-7 cells. (D) Calculation of crack area reduction. (E) Effects of Ascaphin-8, A8-2-o, and A8-4-Dp on vertical migration capacity of MCF-7 cells, (F) calculation of cell numbers that passed through the polycarbonate membrane. Scale: 200 μm (data are expressed as mean ± standard deviation; n = 3; compared with the control group, **p < 0.01, ***p < 0.001, ****p < 0.0001). | PMC10318414 | d3ra02743k-f3.jpg |
0.419786 | cd13ebb815bd409993bdd80fe8055220 | (A) Detection of apoptosis effects of Ascaphin-8, A8-2-o, and A8-4-Dp (10 μM) on MCF-7 cells. (B) Fluorescent images of life-and-death staining of MCF-7 cells treated with Ascaphin-8, A8-2-o and A8-4-Dp. | PMC10318414 | d3ra02743k-f4.jpg |
0.415359 | b6e6e997ab884e7591183b04b69ed51a | Location and elevation of the study area. | PMC10318526 | gr1.jpg |
0.552555 | 3eb5e697d71e43be8af65ab3f71b7afb | Drainage density map. | PMC10318526 | gr10.jpg |
0.433019 | e19ba4a85e2948428ed3120b6f3b17a6 | Elevation map. | PMC10318526 | gr11.jpg |
0.418816 | 741f9c0ed3fa4796a1a612323c6fca24 | Groundwater potential zones. | PMC10318526 | gr12.jpg |
0.43233 | d0f13910600340b0be26a8fea5fd1e3a | Validation of GWPZ with Well data. | PMC10318526 | gr13.jpg |
0.462925 | 4287c6da829b4c88ae464e2fff958bd4 | Area under curve. | PMC10318526 | gr14.jpg |
0.570318 | 196d7f4e805445869b1fe9568876fae7 | General methodological flow chart. | PMC10318526 | gr2.jpg |
0.389901 | db1d180375ed4bc3a5c78993c884e74f | Lithology map (Where Q: Alluvial deposits, PR2td: Tulu Dimtu Group, PNmb: weathered basalts, PR2b: Birbir Group, gt3: weathered Late to post-tectonic granite, gd: Granodiorite, and gb: Gabbro). | PMC10318526 | gr3.jpg |
0.477866 | f2d383ff0edf42bd86ab547ea8ec6e1b | Lineament density map. | PMC10318526 | gr4.jpg |
0.471241 | d523ce75e2804f759f8812055a1c1cfe | Slope map. | PMC10318526 | gr5.jpg |
0.428955 | 39595b91d2be4f4d975cf0194cdc7ab2 | Geomorphology map. | PMC10318526 | gr6.jpg |
0.446394 | 7e507ba4338d425a81de300d53a25fed | Soil map. | PMC10318526 | gr7.jpg |
0.574391 | ba131bc21ee0445b9de32b677795fc2a | LULC map. | PMC10318526 | gr8.jpg |
0.438456 | bd8b06180fcb45ad9e9764a3ac3f6c48 | Rainfall map. | PMC10318526 | gr9.jpg |
0.47565 | c19b1af9ebe04f5d8eb6cbab057c606a | Overall workflow of the proposed model for simulating longitudinal visual field tests in glaucoma. | PMC10318593 | tvst-12-6-27-f001.jpg |
0.457569 | e992b5b7701a4354ad4c7e075d56fd4d | Empirical cumulative distributions for the number of progression clusters in visual field sequences of patients with glaucoma with (a) and without (b) baseline scotomas. | PMC10318593 | tvst-12-6-27-f002.jpg |
0.432757 | 228ee2b7870b4a91ba81c4fe71dcfaee | Histograms of linear regression residuals for the mean deviation in (a) longitudinal VF data of patients with glaucoma, (b) simulated longitudinal VF data with spatially correlated noise templates, and (c) simulated longitudinal VF data with independent noise model to represent pointwise VF variability. The variance in (a) and (b) is similar, whereas the variance of (c) is smaller. | PMC10318593 | tvst-12-6-27-f003.jpg |
0.501397 | e7ea930757f44008af86dea8fe5c6a6c | Percentage of eyes showing VF progression (i.e., detection rates) over a period of 2 to 7 years from the baseline test. The mean deviation trend analysis was used to detect VF progression. The solid red curve indicates the detection rates in longitudinal VF data of patients with glaucoma. The green dashed curve shows the mean detection rates in simulated data (set A) generated by our model (using multiple progression clusters per eye and spatially correlated pointwise noise, denoted as Multiclusters + Correlated Noise). The orange dash-dotted curve represents the mean detection rates in simulated data (set B) generated by a model using multiple progression clusters and independent pointwise noise (denoted as Multiclusters + Independent Noise). The purple dotted curve indicates the mean detection rates in simulated data (set C) generated by a model using a single progression cluster per eye and spatially correlated pointwise noise (denoted as Single Cluster + Correlated Noise). The shaded areas of the curves represent the 95% CI of the detection rates. | PMC10318593 | tvst-12-6-27-f004.jpg |
0.38064 | 28562012b6d74f64a7753bcd5eca5dc2 | (a) VF of a patient with glaucoma over a 7-year follow-up period. (b–e) Simulated VF sequences for the same baseline VF test (the first test in the patient's VF sequence) with different progression rates. The patient data show moderate VF progression with MD linear regression slope of −0.5 dB/y. (b) A simulated stable VF sequence (MD slope of 0 dB/y). (c) A simulated VF sequence with the same progression rate (MD slope of −0.5 dB/y) as the patient's data (notice the similarity between the progression patterns in panels a and c). (d, e) Simulated VF sequences with higher progression rates than that of the patient's data (MD slopes of −1.0 dB/y and −1.5 dB/y, respectively). | PMC10318593 | tvst-12-6-27-f005.jpg |
0.458587 | 075c63586fc6491a827e6f49ce1aba50 | Graphs of the cumulative sums of the average MSE between a VF sequence of a patient with glaucoma (Fig. 5a) and four sets of 100 simulated VF sequences with different progressing rates. The progressing rates represent stable VF sequences (0 dB/y in MD slope), VF sequences with moderate progression (−0.5 dB/y in MD slope), VF sequences with fast progression (−1.0 dB/y in MD slope), and VF sequences with very fast progression (−1.5 dB/y in MD slope). The error bars represent the 95% CI for the MSE at each time point. | PMC10318593 | tvst-12-6-27-f006.jpg |
0.487496 | 431c9210803d46529c458c0ea13dee31 | Palestrina excerpt with several dissonances: several passing tones (p.t.), a neighbour tone (n.t.), and a suspension (s.), from the Agnus of missa De Beata Marie Virginis (II), measures 24–26. | PMC10319261 | peerj-cs-05-244-g001.jpg |
0.47292 | ed777b5cf2e34f439b3a83f41f73f2c5 | Accuracies achieved by the champions of the genetic programming runs on the various parts of the training set.(A) postive examples; (B) counterexamples from other clusters; (C) harmonic counterexamples; (D) random counterexamples; (E) randomly modified positive examples. The means are indicated by blue bars. C0–C6 denotes the clusters found by DBSCAN. These clusters correspond to different dissonance categories (see Table 1). C5 and C6 are two small clusters that were disregarded in the end (see discussion at the end of section ‘Clustering Results and Discussion’ above). | PMC10319261 | peerj-cs-05-244-g002.jpg |
0.411501 | a4afd7e3a7914a7ab271081e2ca917a2 | Accuracy score vs tree size for the evolved solutions from all runs.Clusters are denoted by their respective numbers. | PMC10319261 | peerj-cs-05-244-g003.jpg |
0.407205 | 8ae00dc1d80b4492a28ad5b83af160a6 | Accuracy score (A) and tree size (B) vs cluster size.Clusters are denoted by their respective numbers. | PMC10319261 | peerj-cs-05-244-g004.jpg |
0.38614 | b983f5ba015d4d259fe1525e2b20907d | Learnt rule example from C1: passing tones upwards. | PMC10319261 | peerj-cs-05-244-g005.jpg |
0.444241 | a8da7baed34146209b4ba8dcb1136e2e | Learnt rule example from C3: suspension on beat 1. | PMC10319261 | peerj-cs-05-244-g006.jpg |
0.420638 | 79f5a2848ff34bc89ecf99331742e79a | Morphologic characteristics of patient kidneys. (A) Comparison of median renal artery diameter between patients with bilateral RAS, unilateral RAS and no RAS. (B) Comparison of median cortical area between patients with bilateral RAS, unilateral RAS and no RAS. (C) Comparison of median kidney length between patients with bilateral RAS, unilateral RAS and no RAS. Box represents interquartile range (IQR), thick line represents median, error bars represent minimum (Q1–1.5*IQR) and maximum (Q3 + 1.5*IQR) and dots represent outliers. | PMC10319299 | gr1.jpg |
0.356335 | abc423aece7a4e969005ccb44ab9829a | Axial cerebral CT and susceptibility-weighted MR imaging of the index patient (A–E) shows extensive calcifications of bilateral basal ganglia (in pallidum and caudate nucleus) as well as in both cerebellar hemispheres (arrows) and bilateral hippocampus (arrowheads). Susceptibility-weighted MR imaging of the index patient’s children (F–H) shows symmetrical calcifications of the basal ganglia (arrows) in both child 1 and child 2. Child 3 shows no calcifications. Axial and coronal FDG-PET/CT (I, J) of the index patient demonstrates areas of slightly reduced glucose metabolism in parietal and mesiotemporal cortex. FBB-PET/CT (K, L) study in axial and coronal sections shows widespread β-amyloid deposits in the frontal and temporal cortex but also in the parietal cortex. Red/light red indicates high values; green/blue indicates low values | PMC10319679 | 10048_2023_723_Fig1_HTML.jpg |
0.479914 | 930d6b057006407093aa7d35aaacdbab | Specifics of the device for embryo bursting (bursting chambers)Schematics show two different views of the device and report the details of its structure and dimensions. These chambers facilitate the collection of the material extracted from the egg during the dechorionation procedure. | PMC10320274 | gr1.jpg |
0.465085 | f2177cdb7b0d47b5961fac4c725cc9f1 | Result of the cleaning process of annual killifish eggs collected from the substrateTop row illustrates the comparison of the surface of the chorion of N. furzeri eggs before and after the hair removal.(A) the surface of N. furzeri eggs is covered with hairs (arrows).(B) a hairless egg after pronase treatment is shown and the different components of the egg are indicated. Bottom row illustrates the aspect of A. nigripinnis eggs before and after the cleaning from soil residues and sterilization with chlorine solution.(C) the chorion of the egg laid in soil is covered with visible impurities (arrows).(D) a clean egg without the presence of sediments is shown and the different components of the egg are indicated. Images were taken using a Leica S6 D stereo microscope at a 4× magnification. Scale bar = 500 μm. | PMC10320274 | gr2.jpg |
0.463583 | 6b74729cd6d34c558fc93ff1970a9d77 | Critical steps in the dechorionation process of annual killifish eggs(A and B) Images in A and B depict the aspect at different steps of one N. furzeri and one A. nigripinnis egg, respectively. For both: eggs placed inside a bursting chamber (plating) are punctured using a pair of fine-pointed tweezers (puncturing). The eggs are grabbed and gently punctured using the tip to partly release the high pressure (Methods video S1). After partial deflation of the egg and enlargement of the perivitelline space, the chorion is carefully peeled off using the tweezers from the opposite side of the puncture until detaching all the chorion from the egg (peeling – Methods video S2). The chorion is broken into pieces and discarded. The resulting dechorionated embryo is shown in the panel Dechor. Embryo. Images and suppl. Movies were taken using a Leica S6 D stereo microscope at a 4× magnification. Scale bar = 500 μm. | PMC10320274 | gr3.jpg |
0.402019 | a4c52a76b54241408d1963f14c211c88 | Yield of A. nigripinnis blastoderm cells (deep embryonic and EVL cells) extracted at early post epiboly stages(A) Quantification of cell viability after extraction using the Neubauer chamber. Live cells appear green as they retain Calcein-AM fluorophore. Large cells are EVL cells and small are deep cells.(B) Exemplary images of a quadrant of the Neubauer chamber (left) and enlarged view (right) illustrate how to recognize EVL and deep cells and how to distinguish between live cells (those that retain Calcein-AM – green arrows) and dead cells (without fluorescence – red arrow). Images were acquired using a Nikon Ti2 eclipse inverted microscope with a 10× air objective with 0.30 NA. Scale bar: 100 μm.(C) Comparison of cell size allows distinguishing EVL (diameter above 10 μm) from deep cells (about 5 μm in diameter). Live cells also typically display cellular activities such as presence of cellular extrusion. Images were acquired using a Nikon Ti2 eclipse inverted microscope with a 40× air objective with 0.95 NA. Scale bar: 20 μm. | PMC10320274 | gr4.jpg |
0.442607 | b589d09042dd460cbe1a3f168ce012ce | Comparison of structures of the living and of the dead annual killifish eggLeft panel – a live egg is shown. Arrow pointing at characteristic structures that should be clearly visible in healthy embryos. Right panel – a dead egg is shown. Arrow pointing at markers for corrupted and degraded structures. Main differences to be noticed are the clarity and turgor of the yolk and organization of the different structures of the egg. Images were taken using a Leica S6 D stereo microscope at a 4× magnification. Scale bar = 500 μm. | PMC10320274 | gr5.jpg |
0.456268 | 8d30a9ce414c411eb9c25e11c6618d2f | Flowchart of the study selection process. | PMC10321595 | fendo-14-1182259-g001.jpg |
0.430609 | 475838cc99c74a4fb3201b256ec7abe9 | Percentage of included studies with the risk of bias. | PMC10321595 | fendo-14-1182259-g002.jpg |
0.494043 | 9d243a177b5c4106ad972b10761dcf6f | The assessment of the risk of bias for included study. Quality is represented by colors using green (+) as yes (high quality), yellow (?) as unclear, and red (–) as no (low quality). | PMC10321595 | fendo-14-1182259-g003.jpg |
0.435862 | 2d61575585ac466a9bc3a26d0d98aa3f | Sensitivity analysis of studies. [(A) CDFI; (B) SMI]. | PMC10321595 | fendo-14-1182259-g004.jpg |
0.572335 | f30f6ecd11754bb880b1815f82b7f8b2 | Estimates of CDFI assessment for the diagnosis of malignancy thyroid nodules. (A–E), Forest plots illustrate pooled estimates (diamonds) for sensitivity (A), specificity (B), positive likelihood ratio (LR) (C), negative LR (D), and diagnostic odds ratio (E) and corresponding 95% CIs for pooled estimates. (F), Summary receiver operating characteristic (SROC) plot for assessing accuracy with corresponding curves indicative of upper and lower bounds of 95% CI. AUC, area under curve; SE, standard error; Q* = summary measure of accuracy derived from the SROC curve. | PMC10321595 | fendo-14-1182259-g005.jpg |
0.526483 | 23dabb44b04d43f89af9aed645f7a41e | Estimates of SMI assessment for the diagnosis of malignancy thyroid nodules. (A–E), Forest plots illustrate pooled estimates (diamonds) for sensitivity (A), specificity (B), positive likelihood ratio (LR) (C), negative LR (D), and diagnostic odds ratio (E) and corresponding 95% CIs for pooled estimates. (F), Summary receiver operating characteristic (SROC) plot for assessing accuracy with corresponding curves indicative of upper and lower bounds of 95% CI. AUC, area under curve; SE, standard error; Q* = summary measure of accuracy derived from the SROC curve. | PMC10321595 | fendo-14-1182259-g006.jpg |
0.399681 | cb6276985ec74da2ba7e2667e9683b50 | Funnel diagram of SMI and CDFI. Panel (A) is the funnel diagram of CDFI; panel (B) is the funnel diagram of SMI. | PMC10321595 | fendo-14-1182259-g007.jpg |
0.481198 | 1c41895b65aa4fb688540beaa3ebb4c1 | Fagan diagram of SMI and CDFI. Panel (A) is Fagan diagram of CDFI; Panel (B) is the Fagan diagram of SMI. | PMC10321595 | fendo-14-1182259-g008.jpg |
0.386236 | 35ddbbb335a848819c067c593474742c | Flow diagram of the literature search strategy. | PMC10322196 | fneur-14-1146164-g0001.jpg |
0.381039 | e4c86f08a6d64890bd8cc0b72685c52d | Characteristics of the included studies. Plus-minus values are mean ± SD. IQR, interquartile range. | PMC10322196 | fneur-14-1146164-g0002.jpg |
0.472722 | c119fc9fbee2437e8480bf6020f73f30 | Risk-of-bias summary for all the trials. | PMC10322196 | fneur-14-1146164-g0003.jpg |
0.422743 | df73edeccc7b44fe982069d5c518991f | Forest plot of primary outcome—incidence of POCD. | PMC10322196 | fneur-14-1146164-g0004.jpg |
0.38524 | 5f1c67d3d0d348bf9072b6e2c51a9296 | Galbraith plots of primary outcome—incidence of POCD. | PMC10322196 | fneur-14-1146164-g0005.jpg |
0.423842 | c11b475a8e97444c86cd2dcc43ce69a9 | Subgroup analysis of cognitive training timing—incidence of POCD. | PMC10322196 | fneur-14-1146164-g0006.jpg |
0.521397 | 10bbec54b43c4911997f14f452c5628f | Forest plot of primary outcome—incidence of POD. | PMC10322196 | fneur-14-1146164-g0007.jpg |
0.427581 | 6aa415310c424628b39c47a2245a8eca | Galbraith plots of primary outcome—incidence of POD. | PMC10322196 | fneur-14-1146164-g0008.jpg |
0.41167 | 4a89902768454670ad9224adcb03e3ae | Subgroup analysis of cognitive training timing—incidence of POD. | PMC10322196 | fneur-14-1146164-g0009.jpg |
0.505829 | bbf9421d04a14836b268e2d2a4b24a38 | Forest plot of secondary outcome—cognitive training adherence. | PMC10322196 | fneur-14-1146164-g0010.jpg |
0.426346 | 3b99c4fbe070404f88c084448bba057d | Forest plot of secondary outcome—cognitive function scores. | PMC10322196 | fneur-14-1146164-g0011.jpg |
0.426523 | b620385c354b4eb687322280976efd1a | Forest plot of secondary outcome—length of hospital stay. | PMC10322196 | fneur-14-1146164-g0012.jpg |
0.419628 | 5de26288fb3e49fda80bac5dc1fe7f21 | Constructing multidimensional representations of genomic signals. Starting with a genomic signal \documentclass[12pt]{minimal}
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0.454564 | 3c43201953e843dcbf5498819ecd3258 | Transcription in K562 leukemia cell lines shows a complex dependence on the distance from pairs of TSSs, their intragenic position, and the transcriptional activity of the gene. (A, B), two-dimensional density of normalized RNA-seq signal for pairs of the first (TSS 1) and second (TSS 2) TSSs (A) and the second (TSS 2) and third (TSS 3) TSSs (B) of genes with high, medium, and low levels of transcription. (C), seven representative regions of the two-dimensional (density) signal used to characterize the interdependence on pairs of TSSs. TSSs are ordered according to their genomic position. Regions A and B correspond to transcription at the upstream TSS (\documentclass[12pt]{minimal}
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\begin{document}$$T_{W} = \left\langle {g\left( {x + z_{U} } \right)\delta_{{y, x + z_{U} - z_{D}}} } \right\rangle_{{ \left\{ {z_{U} ,z_{D} } \right\},\left( {x,y} \right)}}$$\end{document}TW=gx+zUδy,x+zU-zDzU,zD,x,y with \documentclass[12pt]{minimal}
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\begin{document}$$T_{Bf} /T_{Af}$$\end{document}TBf/TAf. Data is available from the ENCODE consortium (experiment accession number ENCSR000AEL, Thomas Gingeras lab, CSHL). The accession numbers of the minus and plus strand RNA-seq signals and gene quantifications are ENCFF652ZSN, ENCFF091RAW, and ENCFF782PCD, respectively. | PMC10322939 | 41598_2023_37140_Fig2_HTML.jpg |
0.432398 | 7bc4399729644a589eb24bbfdb3ed414 | Transcription initiation in K562 leukemia cell line shows a complex dependence on the distance from pairs of TSSs, their intragenic position, and the transcriptional activity of the gene. (A, B), two-dimensional density of RAMPAGE signal for pairs of the first (TSS 1) and second (TSS 2) TSSs (A) and the second (TSS 2) and third (TSS 3) TSSs (B) of genes with high, medium, and low levels of transcription. Data is available from the ENCODE consortium (experiment accession number ENCSR000AER, Thomas Gingeras lab, CSHL). The accession numbers of the minus and plus strand RAMPAGE signals and gene quantifications are ENCFF198YEH, ENCFF707TAV, and ENCFF782PCD, respectively. | PMC10322939 | 41598_2023_37140_Fig3_HTML.jpg |
0.451198 | 7eaf0e848fc34bc7b79af4268eba7436 | RNA polymerase II occupancy, DNA accessibility, and H3K4me3 epigenetic chemical modification of the histone H3 protein in K562 leukemia cell lines shows a complex dependence on the distance from pairs of TSSs and the transcriptional activity of the gene. (A, B, C), two-dimensional density of POLR2A ChIP-seq signal (A), DNase-seq signal (B), H3K4me3 ChIP-seq signal (C) for pairs of the first (TSS 1) and second (TSS 2) TSSs of genes with high, medium, and low levels of transcription. Data is available from the ENCODE consortium (experiment accession numbers ENCSR000FAJ, Sherman Weissman lab, Yale; ENCSR000EKS, Gregory Crawford lab, Duke; ENCSR000AKU and Bradley Bernstein, Broad). The accession numbers of the POLR2A ChIP-seq signal, DNase-seq signal, H3K4me3 ChIP-seq signal, and gene quantifications are ENCFF000YWY, ENCFF000SVL, ENCFF000BYB, and ENCFF782PCD, respectively. | PMC10322939 | 41598_2023_37140_Fig4_HTML.jpg |
0.419438 | 9c6e2bec18724bc1b324978c15174602 | The complex interdependence of transcription at multiple TSSs is conserved across human cell types. The replicate mean and noise of the \documentclass[12pt]{minimal}
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\begin{document}$${\text{log}}_{2}$$\end{document}log2 values of upstream effects, downstream effects, proximal cooperativity, and positional dominance are shown in terms of the transcriptional activity in region C stratified in five groups for the first and second TSSs, for the second and third TSSs, and for the average of all subsequent pairs of consecutive TSS up to the 10th and 11th TSSs for all experiments in ENCODE with Spearman correlation > 0.8 among replicates. In total, there are 191 experiments (indicated by small symbols) comprising 122 different cell types. Different symbols indicate different biosample types, which include primary cell (62 experiments), cell line (93 experiments), tissue (27 experiments), and in vitro differentiated cells (9 experiments). Large symbols indicate the average of experiments within a biosample type. The replicate mean, represented in blue color, corresponds to the average of the \documentclass[12pt]{minimal}
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\begin{document}$$1/2\left( {\log_{2} \left( {T_{C}^{1} /T_{A}^{1} } \right) + \log_{2} \left( {T_{C}^{2} /T_{A}^{2} } \right)} \right)$$\end{document}1/2log2TC1/TA1+log2TC2/TA2, where the superscript indicates the replicate number]. The replicate noise, represented in orange color, corresponds to the difference of the \documentclass[12pt]{minimal}
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\begin{document}$${\text{log}}_{2}$$\end{document}log2 value of replicate 1 from the replicate mean [i.e.,\documentclass[12pt]{minimal}
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\begin{document}$$1/2\left( {\log_{2} \left( {T_{C}^{1} /T_{A}^{1} } \right) - \log_{2} \left( {T_{C}^{2} /T_{A}^{2} } \right)} \right)$$\end{document}1/2log2TC1/TA1-log2TC2/TA2]. Data is available from the ENCODE consortium (Brenton Graveley lab, UConn; Eric Lécuyer lab, IRCM; Michael Snyder lab, Stanford; and Thomas Gingeras lab, CSHL). For ENCODE accession numbers, see Table S1. | PMC10322939 | 41598_2023_37140_Fig5_HTML.jpg |
0.398646 | 178ff8cfe0fe4da8bf347355e089522b | Transcription initiation parallels the conserved interdependence patterns of transcription at multiple TSSs. The same quantities as in Fig. 5 are shown computed with RAMPAGE data instead of with RNA-seq data. In total, there are 65 experiments comprising 56 different cell types, which include, as biosample types, primary cell (11 experiments), cell line (25 experiments), tissue (24 experiments), and in vitro differentiated cells (5 experiments). Data is available from the ENCODE consortium (Thomas Gingeras lab, CSHL). For ENCODE accession numbers, see Table S2. | PMC10322939 | 41598_2023_37140_Fig6_HTML.jpg |
0.405486 | de652a0154094627b0e821ec1636f1d5 | The complex interdependence of transcription between multiple TSSs is conserved across human cell types. The replicate mean and noise of the \documentclass[12pt]{minimal}
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\begin{document}$${\text{log}}_{2}$$\end{document}log2 values of transcription persistence with a distal downstream TSS, persistence with a non-distal downstream TSS, signal dominance, and persistence dominance are shown in terms of the transcriptional activity in region C for the same cases and conditions as in Fig. 5. | PMC10322939 | 41598_2023_37140_Fig7_HTML.jpg |
0.417541 | 21ca3e5e1f964bcaa9763ac8676d7825 | Carprofen accelerates Aβ fibrillization and increases Aβ plaque levels but decreased GFAP levels in 5XFAD mice brains. (a) Chemical structure of carprofen. (b) ThT assay exhibiting accelerated Aβ aggregation after three days of carprofen (0.5, 5, and 50 μM) incubation with monomeric Aβ(1–42) (50 μM) at 37 °C. The intensity levels were normalized to Aβ aggregates (100%, 3 days). (c) Timeline of in vivo experiment. (d) Representative immunostained hemisphere and hippocampus images of wild-type and 5XFAD transgenic mice after the administration of the vehicle (wild-type, n = 5; transgenic, n = 4) or carprofen (25 mg/kg/day, n = 4). Aβ plaques were stained with ThS (green), astrocytosis levels examined using GFAP antibody (red), and nuclear staining by Hoechst (blue). Scale bars = 2 mm (upper, hemisphere) and 500 μm (bottom, hippocampus). All hemisphere and hippocampus brain images are presented in the Supplementary Figs. S1 and S2, respectively. (e) Brain hemisphere, cortical, and hippocampal regions assessed for Aβ plaque measurements. (f) Quantitative measurements of Aβ plaque and area in hemisphere, cortical, and hippocampal brain regions after vehicle (black circle) or carprofen (red circle) treatment. Three consecutive brain sections were stained and quantified for each mouse. The data represent the mean ± SEM and the statistical analyses were performed by one-way analyses of variance (ThT data) and two-tailed unpaired t-test (plaque number and area densitometry) followed by Bonferroni’s post-hoc comparisons tests (*P < 0.05, **P < 0.01, ***P < 0.001, other comparisons not significant). Wt, wild-type; Tg, transgenic; ip, intraperitoneal; Veh, vehicle; Car, carprofen; ThS, thioflavin S. | PMC10323003 | 41598_2023_36167_Fig1_HTML.jpg |
0.374312 | 340933869a8643848c773e07fe17de7d | Carprofen affects the expression levels of key Alzheimer-like biomarkers involved in Aβ aggregation. (a, b) Dot blots and densitometry of the cortical and hippocampal regions to quantify the total soluble Aβ and oligomer concentrations by utilizing anti-Aβ 6E10 antibody and anti-oligomer A11 antibody, respectively. (c, d) The aggregated Aβ levels of vehicle- and carprofen-treated groups in both the cortex and hippocampus after ELISA. (e–g) Western blot and densitometry of Alzheimer-related biomarkers in (f) cortex and (g) hippocampus brain lysates. The densitometry data analyzed the levels of GFAP, Iba-1, PSD95, synaptophysin, and phosphorylated tau expressions. The original dot blots and full-membrane results with their respective β-actins are presented in Supplementary Fig. S3. All data represent the mean ± SEM and the statistical analyses were performed by one-way analysis of variance excluding ELISA data using two-tailed unpaired t-test with the comparison to the vehicle-treated 5XFAD mice group (Veh, black) (*P < 0.05, **P < 0.01, ***P < 0.001, other comparisons not significant). Wt, wild-type; Veh, vehicle; Car, carprofen; GFAP, glial fibrillary acidic protein; Iba-1, ionized calcium-binding adaptor molecule 1; PSD95, post-synaptic density protein 95; Syn, synaptophysin; AT8, phosphorylated tau (S202, T205). | PMC10323003 | 41598_2023_36167_Fig2_HTML.jpg |
0.490765 | 167dfeb6ab2c428899eb6f6fc5f75099 | Improvement of spontaneous alternation performance on Y-maze task using an Aβ(1–42)-infused mouse model injected with carprofen co-incubated with Aβ(1–42) monomer by ICV. (a) The overall experimental scheme displaying the time course of sample incubation followed by the schematic brain region to show the ICV injection site of ICR mice (male, 7-week-old, n = 5/group) to create an Aβ(1–42)-infused mouse model, with reduced cognitive behavioral performance, for a Y-maze test. (b) The percentage of spontaneous alternations and (c) the number of entries observed on four Aβ(1–42)-infused ICR mice groups. The prepared groups are as following: vehicle (white, n = 5), Aβ(1–42) aggregates (0.05 nmole in PBS, black, n = 5), in addition to carprofen (0.5 or 50 μM) co-treated with Aβ(1–42) monomer (0.05 nmole in PBS, red, n = 5/group), All data represent the mean ± SEM and the statistical analyses were performed by one-way analysis of variance with the comparison to 2-day Aβ(1– 42) aggregates-treated group (black) (*P < 0.05, **P < 0.01, ***P < 0.001, other comparisons not significant). ICV, intracerebroventricular; ICR, imprinting Control Region; Car, carprofen. | PMC10323003 | 41598_2023_36167_Fig3_HTML.jpg |
0.438086 | a3693576060e4b89a0a8b1c825d6b4db | Improvement of spontaneous alternation performance on Y-maze task using an Aβ(1–42)-infused mouse model injected with carprofen co-incubated with Aβ(1–42) monomer by peripheral administration. (a) The experimental scheme displaying the time course of sample incubation followed by the schematic brain region to show the ICV injection site of ICR mice (male, 7-week-old, n = 8/group) to create an Aβ(1 – 42)-infused mouse model, with reduced cognitive behavioral performance, followed by intraperitoneal injections of carprofen in prior to Y-maze test. (b) The percentage of spontaneous alternations and the total number of entries observed on Aβ(1 – 42)-infused ICR mice groups. The prepared groups are as following: vehicle (white, n = 8), 2-day Aβ(1– 42) aggregates (0.05 nmole in PBS, black, n = 8), and a second 2-day Aβ(1–42) aggregates group with three daily intraperitoneal injections of carprofen (25 mg/kg/day, red, n = 8). All data represent the mean ± SEM and the statistical analyses were performed by one-way analysis of variance with the comparison to 2-day Aβ(1 − 42) aggregates-treated group (black) (*P < 0.05, **P < 0.01, ***P < 0.001, other comparisons not significant). ICV, intracerebroventricular; ICR, imprinting control region; ip, intraperitoneal. | PMC10323003 | 41598_2023_36167_Fig4_HTML.jpg |
0.409172 | 873ffcfa284c419f9ea95d42ec02f414 | Carprofen does not induce any significant change in the expression levels of Alzheimer-like characteristics among non-AD mice. (a) Timeline of in vivo experiment utilizing wild-type animals. (b) Representative immunostained hemisphere and hippocampus images of wild-type brains after the administration of the vehicle (n = 5) or carprofen (25 mg/kg/day, n = 5). Scale bars = 2 mm (upper, hemisphere) and 500 μm (bottom, hippocampus). (c) Dot blot on total soluble Aβ and oligomer concentrations by utilizing anti-Aβ antibody 6E10 and anti-oligomer antibody A11, respectively, in the cortex and hippocampus. (d) Western blot of Alzheimer-like biomarkers in cortex and hippocampus brain lysates. All hemisphere and hippocampus brain images and original dot blot membranes are shown in Supplementary Fig. S5. In addition to the full-membranes and their respective β-actins along with the densitometry analyses on the levels of GFAP, Iba-1, PSD95, synaptophysin, and phosphorylated tau expressions are presented in Supplementary Fig. S6. Wt, wild-type; Veh, vehicle; Car, carprofen; GFAP, glial fibrillary acidic protein; Iba-1, ionized calcium-binding adaptor molecule 1; PSD95, post-synaptic density protein 95; Syn, synaptophysin; AT8, phosphorylated tau (S202, T205). | PMC10323003 | 41598_2023_36167_Fig5_HTML.jpg |
0.407819 | de9476bb732841cc95bff3ee6e6cb2ec | Flow diagram of the study selection and follow-up process. OLIF, oblique lateral interbody fusion; OLIF-AF, OLIF combined with anterolateral screw fixation; OLIF-PF, OLIF combined with percutaneous pedicle screw fixation; CT, computed tomography; MRI, magnetic resonance imaging. | PMC10323359 | ns-2244954-477f1.jpg |
0.547272 | a135151c12f444838ad588893f25efb3 | Radiographic evaluation. Measurement of cross-sectional area (CSA), anterior disk height (ADH), posterior disc height (PDH), foraminal height (FH), lumbar lordosis (LL), and the cross-sectional area of the intervertebral foramina (CSAF). Measurements of CSA, ADH, PDH, FH, and CSAF in the Picture Archiving Communication System (PACS) before the operation, at postoperative 1 day, and at last follow-up (A, F, and K). LL was measured in x-ray sagittal position, the head end measurement line was placed on the L1 superior end plate, the tail end measurement line was placed on the S1 superior end plate (B, G, and L). ADH and PDH were measured at the sagittal position in computed tomography (CT), the distance between the anterior/posterior edges of the upper vertebrae and the end plate of the lower vertebrae is called the anterior/posterior disk height (C, H, and M). FH was measured in the sagittal planes of the bilateral foramen in CT images. The length between the upper and lower edges is FH (D, I, and N). In the same plane of computed tomography CT, the foramen was outlined to read the CSAF (E, J, and O). CSA was measured in the axial sections of T2-weighted imaging. The central canal (including the thecal sac and epidural fat) was outlined in PACS to get the CSA. | PMC10323359 | ns-2244954-477f2.jpg |
0.400443 | fee650f274f347f2979a8918fa28e0bb | The x-ray presentation in an operative patient. (A–C) The patient underwent OLIF. (D–F) The patient underwent OLIF-AF. (G–I) The patient underwent OLIF-PF. Three groups in x-ray before the operation, at postoperative 1 day, and at last follow-up. | PMC10323359 | ns-2244954-477f3.jpg |
0.446234 | e6e04f55a39240ac9d3435a790067531 | The computed tomography (CT) presentation in an operative patient. (A–C) The patient underwent OLIF. (D–F) The patient underwent OLIF-AF. (G–I) The patient underwent OLIF-PF. Three groups in CT before the operation, at postoperative 1 day, and at last follow-up. OLIF, oblique lateral interbody fusion; OLIF-AF, OLIF combined with anterolateral screw fixation; OLIF-PF, OLIF combined with percutaneous pedicle screw fixation. | PMC10323359 | ns-2244954-477f4.jpg |
0.412632 | b22ef46345a84e43a7136a3cc29af26e | The magnetic resonance imaging (MRI) presentation in an operative patient. (A–C) The patient underwent OLIF. (D–F) The patient underwent OLIF-AF. (G–I) The patient underwent OLIF-PF. Three groups in MRI before the operation, at postoperative 1 day, and at last follow-up. The yellow arrow points to the sagittal segment corresponding to the axial MRI image.OLIF, oblique lateral interbody fusion; OLIF-AF, OLIF combined with anterolateral screw fixation; OLIF-PF, OLIF combined with percutaneous pedicle screw fixation. | PMC10323359 | ns-2244954-477f5.jpg |
0.401636 | 2341dd405d494cf98ed7819d191ab4a4 | Task design and saccade responses. (A) Metronome task. Trials started with a central fixation point (FP) with a random offset between 1,000–1,500 ms. A white target spot appeared at 10° eccentricity at the time of FP offset and alternated between the right and left side of the screen at a fixed interstimulus interval (ISI) for 16 target steps. Participants were instructed to move their eyes in time with the target. Five ISI conditions were used: 500 ms, 750 ms, 1,000 ms, 1,250 ms, 1,500 ms with each ISI having 6 trial blocks of 16 target steps. Different trial blocks of ISI conditions were presented pseudorandomly. In the random task, the ISI varied with each target step such that the location of the targets remained predictable, but the timing of their onset was unpredictable. (B) Eye position. The average of study participants’ traces of eye positions (dark blue) toward the square-wave target (light gray) in the 500 ms condition of the metronome task. | PMC10323365 | fnins-17-1179765-g001.jpg |
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