nopperl/pmc-image-text · Datasets at Hugging Face

dedup-isc-ft-v107-score float64 0.3 1	uid stringlengths 32 32	text stringlengths 1 17.9k	paper_id stringlengths 8 11	original_image_filename stringlengths 7 69
0.4961	851900eb92004aafbb3b1df1c20f03fc	Supercritical fluid extraction system; 1: valve, 2: high pressure filter, 3: rapture disc, 4: one-way valve, 5: regulating valve, 6: gas flowmeter, PI: pressure indicator and TI: temperature indicator.	PMC9269414	plants-11-01749-g002.jpg
0.401649	367ee413d0944eba9871b19ee8c4a3a1	Normal human epidermal melanocytes (NHEMs) during cultivation.	PMC9269414	plants-11-01749-g003.jpg
0.478167	e775aef869a247839fade15035f24bce	Metabolic activity of melanoma cells WM-266-4 at different concentrations of extracts (EA, EB, EC, ED, EE, EG and EH).	PMC9269414	plants-11-01749-g004.jpg
0.530916	cd7be57f5ad94d61bd4463d6d9167b1f	Annexin V/7-AAD staining in melanoma WM-266-4 cells. Cells treated with EC extract of concentration (a) 3 × 10−3 mg/mL, (b) 2 × 10−3 mg/mL, (c) 10−3 mg/mL, (d) 7 × 10−4 mg/mL and (e) untreated cells.	PMC9269414	plants-11-01749-g005.jpg
0.429249	ba4512e9c5d541afb7650418a8443044	Cell distribution; effect of hemp (EC) extract on activation of apoptosis in WM−266−4 cells (c1 = 3 × 10−3 mg/mL, c2 = 2 × 10−3 mg/mL, c3 = 10−3 mg/mL, c4 = 7 × 10−4 mg/mL).	PMC9269414	plants-11-01749-g006.jpg
0.469089	cce0dda6e0354e7897c1952c81dda983	Metabolic activity of melanoma cells WM−266−4 at different concentrations of EC.	PMC9269414	plants-11-01749-g007.jpg
0.393843	4ffce4bbeadd4652be96f2a2f3a86e58	(a) Normal human epidermal melanocytes in medium; (b) normal human epidermal melanocytes with applied extract (103 mg/mL); (c) human melanoma cells WM-266-4; (d) human melanoma cells WM-266-4 with applied extract (10−3 mg/mL).	PMC9269414	plants-11-01749-g008.jpg
0.453344	41a44a83cf81487bb56d88a7a36cb191	Comparison of cancer cell metabolic activity in % according to control between different hemp extracts.	PMC9269414	plants-11-01749-g0A1.jpg
0.416723	e8df064b4e6e418fa520df07ca20f51e	Correlation of extract concentration and cancer cell metabolic activity in % according to control of different hemp extracts.	PMC9269414	plants-11-01749-g0A2.jpg
0.439549	67502c5fe7f04a6e98d3c6bffd34db9f	Layers and modular-based open logistics architecture.	PMC9269546	sensors-22-04699-g001.jpg
0.50387	7a735c00d44043fc87dc3b1d0636b8a9	Component diagram and network specification of OL.	PMC9269546	sensors-22-04699-g002.jpg
0.406658	6e685239abd84fb0be618e0f4d9a3f43	Blockchain asset sharing service: The driver can use a mobile application to connect OL.	PMC9269546	sensors-22-04699-g003.jpg
0.492407	29dfa49c70cd4db7b1dc1411c08cffdf	Process of requesting service from the distribution center.	PMC9269546	sensors-22-04699-g004.jpg
0.457448	f844feba90254a62ad43eaaf3ad02f91	Typical capabilities needed for customers or service providers.	PMC9269546	sensors-22-04699-g005.jpg
0.508663	294ab3ad0a1140278e9f9196dfaadfcc	Develop a simulation platform.	PMC9269546	sensors-22-04699-g006.jpg
0.461752	c45c4d9b40304213ad9b70eafe38047a	Developed blockchain network: three clients and 6 edge nodes.	PMC9269546	sensors-22-04699-g007.jpg
0.400686	f0ac6ffb475c4db496614f49e7d213af	Communication between physical simulation module and OL.	PMC9269546	sensors-22-04699-g008.jpg
0.470988	babebe7cb1e249fe9e75e2c3f49d52a0	Service usage rate between the distribution center and manufacturers: three carriers’ companies.	PMC9269546	sensors-22-04699-g009.jpg
0.446287	503bf3935fb54bfb971745ad62eefab4	Surface chart of the latency of various transaction sizes: 9 different ranges.	PMC9269546	sensors-22-04699-g010.jpg
0.399409	d3c4913c65134fd4b254441e1e5c1041	Monitoring network: left side figure shows CPU utilization, and the right side shows network in results.	PMC9269546	sensors-22-04699-g011.jpg
0.395283	1a38f30ae9a74dccb480d27d3b859c87	Block committed per minute: with various sized blocks (5 nodes, 10 nodes, 15 nodes, and 20 nodes).	PMC9269546	sensors-22-04699-g012.jpg
0.414247	271f2636a3c64969b1ed3bf4de9a298f	Computed Tomography Assessment of the Aortic Root and Aortography(A) Computed tomography (CT) at the level of the virtual basal ring (VBR) showing a partially calcified sinus of Valsalva aneurysm (SVA) (arrow) originating from the right coronary cusp (left) CT 3-dimensional reconstruction of the aortic root with visualization of the SVA (arrow) (right). (B) CT evaluation of the SVA dimensions and depiction of the distance between the VBR (a) and the height of the neck of the SVA (b) measuring 1.7 mm. (C) Aortic root CT analysis including measurements of sinus of Valsalva (SOV), sinotubular junction (STJ), left coronary (LCA) height, and right coronary (RCA) height. (D) Aortography in the right-anterior oblique view with visualization of the SVA (arrow) followed by (E) deployment angiographic run before valve deployment. (F) Aortography after valve deployment showing no evidence of aortic regurgitation and exclusion of the SVA (arrow).	PMC9270628	gr1.jpg
0.410387	fd928103dcf446608d9261af926ede4e	Structures of ginsenosides.	PMC9270656	gr1.jpg
0.391322	6dd9491ab309417a935e1c61f54e104a	Structures of non-ginsenosides.	PMC9270656	gr2.jpg
0.45707	5b927963f80d465f8e9068d2fc8affb3	Description of compounds analyzed in this study. (A) Selection criteria for the compounds evaluated in this study. (B) Distribution of the number of targets of compounds.	PMC9270656	gr3.jpg
0.422292	cdc3254d47a148c38a0d8681d15cd1e5	Etiology of obesity.	PMC9270656	gr4.jpg
0.403292	631b286743d14f7397d39679462d5af7	Proximity between neuropeptide family genes and targets of compounds. Relative distances higher than −0.5 are masked.	PMC9270656	gr5.jpg
0.374093	47cb74b0c2c249d7bd5eb188e1b29902	Interactome neighborhood showing associations between the neuropeptide gene families including the (A) adipose neuropeptide gene family, (B) CCK and gastrin gene family, (C) insulin family, and (D) opioid gene family and compounds in ginseng radix. Nodes and edges indicate proteins and their interactions, respectively. Colors filled in nodes indicate whether the protein belongs to the neuropeptides, compound targets, or proteins that connect signaling between neuropeptides and compound targets. Colors filled in borders of nodes indicate the compound that targets the protein.	PMC9270656	gr6.jpg
0.484168	af67d218a75e4546bc02f1b4ec2c56a0	Daily COVID-19 deaths, for Blacks and Whites, by sex.Note: The figure reports the daily number of COVID-19 deaths by day, by sex, for Blacks and Whites. The sample refers to COVID-19 deaths recorded by the Medical Examiner in Cook County, March 16–September 15, 2020.	PMC9272662	gr1_lrg.jpg
0.395564	bf75de2bad2444d0a8b74f9bf5f78000	Excess deaths for Blacks and Whites and Black–White excess death differential, by sex.Note: The dependent variables are excess deaths for Blacks and Whites, by sex (females in top left panel, males in top right panel) and the Black–White differential in excess deaths, by sex (females in bottom left panel, males in bottom right panel). The coefficients are least-squares estimates of the βs. Block group fixed effects are included in all panels and week fixed effects are also included in the bottom panels. Vertical lines represent 95 percent confidence intervals based on standard errors clustered at a block group level. The sample refers to deaths recorded by the Medical Examiner in Cook County, January 1–September 15, 2020 and 2019. The omitted period is τ=0, i.e., week 11.	PMC9272662	gr2_lrg.jpg
0.427066	632308e3e01043e8bad43fea2a5609fe	Occupations: Health care and transportation/warehousing.Note: The dependent variables are Black–White differentials in excess deaths, by sex, for the health care and transportation/warehousing occupational sectors. The coefficients are least-squares estimates of the βs over samples with above and below median share of females in the female labor force (top panels) and males in the male labor force (bottom panels) in each sector. Block group and week fixed effects are included. Vertical lines represent 95 percent confidence intervals based on standard errors clustered at a block group level. The sample refers to deaths recorded by the Medical Examiner in Cook County, January 1–September 15, 2020 and 2019. The omitted period is τ=0, i.e., week 11.	PMC9272662	gr3_lrg.jpg
0.427039	c8611da4a49a4aae84b42fd6ee97d44d	Public transport and commuting distance.Note: The dependent variables are Black–White differentials in excess deaths, by sex, for public transport and commuting distance. The coefficients are least-squares estimates of the βs over samples with above and below median share of individual using public transport (left panels) and commuting distance (right panels). Block group and week fixed effects are included. Vertical lines represent 95 percent confidence intervals based on standard errors clustered at a block group level. The sample refers to deaths recorded by the Medical Examiner in Cook County, January 1–September 15, 2020 and 2019. The omitted period is τ=0, i.e., week 11.	PMC9272662	gr4_lrg.jpg
0.424492	68528a2ebd6d4e7687aade960899756a	Changes in the number of patients [36] in Japan.A. From the top, the number of hospitalized patients, new patients with positive PCR test on that day, severe patients requiring intensive care, and deaths. The blue lines represent the 6th wave. The green lines show the 2nd and 3rd rate of vaccinations (on the right y-axis). B. The number of newly positive patients vs. hospitalized patients. C. The number of newly positive patients vs. patients with severe symptoms. D. The number of newly positive patients vs. deaths (2 weeks later). Fit lines (grey) for 1st–5th waves were obtained by a robust method, i.e., the line function of the R.	PMC9273074	pone.0271305.g001.jpg
0.441545	4b800a6f2c9e4d828ed5804bb0c889fc	Principal component analysis (PCA) with axes found in the data up to April 2020.The axes reflect the differences in the data at this point. A. These data, in addition to 27 000 randomly selected human samples from the data up to December 2021 have been shown. Blue is WHO-variant of concern (VOC); W is the first variant. B. Animal samples are shown on the same axis as in A.	PMC9273074	pone.0271305.g002.jpg
0.465843	533400bb94dd4921b838b71a1fc34a2f	Spread of Omicron variants.A. Human data is presented the axes determined by WHO- variant of concern (VOC). Each axis reflects the differences among these variants. Grey reflects 27 000 randomly selected data from the global data. Khaki reflects African data of 17 000 samples from July 2021 to January 2022. Omicron is depicted on the right-hand side of the figure; 10/12 and 10/24 were the first reported cases in South Africa (blue). B. Pandemics in South Africa (grey) and groups accounting for the percentage of cases at each time point (coloured lines) are specified. C, D. The time course of the global data is presented in A. Each variant has a range of mutations depending on the number of patients but does not change continuously. Rather, another, more potent variant creates the next pandemic.	PMC9273074	pone.0271305.g003.jpg
0.401974	52f66d8ed4884a5fabc4439479452842	Results for the axes found in the various samples.A. Axes found in coronaviruses. All SARS-CoV-2 are on the far right. B. The same series of axes of principal component (PC) 139 and 140, showing the characteristics of Omicron variant. The fact that all coronaviruses do not appear in this neighbourhood indicates that Omicron has features completely independent of other variants. C. Axes found in animal SARS-CoV-2 and WHO-variant of concern (VOC). There is no data in the vicinity of the omicron, indicating that the causal mutations were unique. D. PC 21 and PC 25 of the same set of axes as C, showing the characteristics of mink and deer variants in several countries. Blue arrow shows the mink variant prevalent in humans.	PMC9273074	pone.0271305.g004.jpg
0.474563	718bd5a00d2a4970b888492abf6842a7	Changes in each variant compared to average data as of April 2020.Each panel consists of three sub-panels; from top to bottom: Genomic variation, protein variation, and the proportion of missense mutations. The top two panels show the number of mutations per 1000 bases or residues, with S and N being the most prominent: A, Alpha; B, Delta; C, Lambda; and D, Omicron. Omicron variant has a particularly high number of S protein mutations.	PMC9273074	pone.0271305.g005.jpg
0.456986	4f866161e7b64f64872c0567b4b8ad80	Animal variants compared to the average human data up to April 2020.Those are the most distant variants found in Fig 4D. The mutations are smaller than those of WHO-variant of concern (VOC) in Fig 5 and are not concentrated in the S or N.	PMC9273074	pone.0271305.g006.jpg
0.436349	39410bc7a8af4625a1b2503121c4154b	The leaves and fruits of three greengage genotypes [Prunus domestica (subsp. italica var. claudiana.)] with local names Gavali (1), Ghandi (2) and Shahryari (3) and a myrobalan (4) plum (prunus ceracifera) with local name of Jangali.	PMC9273089	pone.0271201.g001.jpg
0.414591	cfc03b40f0fa468b994c5d70b96c2d3c	Methodology diagram of the LA estimation model development.	PMC9273089	pone.0271201.g002.jpg
0.454044	6e9f4d81b7ee4252a608de15f68c1a8c	Results of image segmentation steps; a) primary RGB image, b) EXG image, c) first obtained binary image after implementing optimal threshold on the EXG image, and d) final binary image after removing small objects (noises) and filling inside leaf regions.	PMC9273089	pone.0271201.g003.jpg
0.362009	3bd6cd914ef246e3bb0401be55edcc5f	Scatter plot of the estimated LA values by LA = 0.007 + 0.687 L×W model vs. the corresponding measured LA values of 2019 dataset.	PMC9273089	pone.0271201.g004.jpg
0.422992	37b2b6db39eb4edcb99678765c08900b	Scatter plots of the estimated LA values by LA = 0.007 + 0.687 L×W model (developed by 2019 data) vs. the corresponding measured LA values of 2021 dataset for different genotypes; a) Gavali, b) Ghandi, c) Shahryari, and d) Jangali.	PMC9273089	pone.0271201.g005.jpg
0.41426	8d93ca375aab4f03b53d696906f11273	Scatter plot of the estimated LA values by universal regression model (LA = -0.039+0.6922 L×W) vs. the corresponding measured LA values of 2021 dataset containing all studied genotypes.	PMC9273089	pone.0271201.g006.jpg
0.479815	fd0a5166b6bd410ea6838560bd142f11	Variations of MSE value for training, testing and validation datasets during the training process of the optimized ANNs; a) the LM-LS-21 model for 2019 data, b) the LM-LS-27 model for 2021 data.	PMC9273089	pone.0271201.g007.jpg
0.489796	4a119198cbb34f6996d9720c3fdf6d41	Performance criteria for ANN models with different numbers of neurons in the hidden layer, a) variation of the R2 value of the LM-LS-21 model for 2019 data, b) variation of the RMSE value of the LM-LS-21 model for 2019 data, c) variation of the R2 value of the LM-LS-27 model for 2021 data, d) variation of the RMSE value of the LM-LS-27 model for 2021 data.	PMC9273089	pone.0271201.g008.jpg
0.420628	5bbe50dc3bd14592a0c2130514048ee3	Scatter plots of the estimated LA values of selected ANN models v. the corresponding measured values; a) the 2019 data-driven ANN on the training dataset, b) the 2019 data-driven ANN on the test dataset, c) the 2021 data-driven ANN on the training dataset, and d) the 2021 data-driven ANN on the test dataset.	PMC9273089	pone.0271201.g009.jpg
0.448678	55dc55fbdc964917a319a8017be1ba1e	Fuzzy linguistic rules of optimized ANFIS model driven from 2019 data.	PMC9273089	pone.0271201.g010.jpg
0.433961	ccefab097d8e40788f8a05834b054e61	Scatters plot of measured vs. estimated LA values of selected ANFIS models; a) the 2019 data-driven ANFIS on the training dataset, b) the 2019 data-driven ANFIS on the test dataset, c) the 2021 data-driven ANFIS on the training dataset, and d) the 2021 data-driven ANFIS on the test dataset.	PMC9273089	pone.0271201.g011.jpg
0.408434	4a575e6079244fc39881f2b4d27fe56f	Scatter plots of estimated LA values by linear SVR model vs. the corresponding measured LA values, a) 2019 experiments, and d) 2021 experiments.	PMC9273089	pone.0271201.g012.jpg
0.404253	74946a7010124f1290db690c8f751bba	Flow chart PROPELLOR Study	PMC9273547	420_2022_1888_Fig1_HTML.jpg
0.414396	b538f35c89bf4f11824a904cd82d5358	Flow diagram of the study selection process.	PMC9273837	fcvm-09-915533-g0001.jpg
0.451151	8c7d75b1f856429c92552ba4a818df49	The main pathophysiological pathways of cardiorenal syndrome associated with SARS-CoV-2 infection.	PMC9273837	fcvm-09-915533-g0002.jpg
0.413599	bc3e2f63fc294a5eaee3359d59286e45	Imaging findings of eosinophilic granulomatosis with polyangiitis (A–D,H) Imaging findings during the initial hospitalization (A,D, coronal view; B,C,H, transverse view). Multiple patchy consolidations of both lungs (A,B, triangular arrows) on CMR images, multiple acute cerebral infarctions (C, triangular arrows) with no obvious cerebrovascular stenosis (H, triangular arrows) on brain MR images and sinusitis and nasal polyps (D, triangular arrows) on reconstructed CT images. (E–G) Imaging findings during the subsequent hospitalization (E, coronal view; F,G, transverse view). Significantly absorbed multiple lesions of both lungs (E,F), the pulmonary hypertension with increased diameters of pulmonary trunk from 28 mm (B) to 32 mm (F) and multiple encephalomalacia (G, long arrows).	PMC9273878	fcvm-09-928192-g0001.jpg
0.423164	9eb2dfc762024a93ba4d9239a82e6378	Comparison of cardiovascular involvement detected by CMR during two separate hospitalizations (A–F) CMR findings during the initial hospitalization (A–C, short-axis view; D–F, four-chamber view). Distinct high-signal-intensity plane separating the thrombus from underlying myocardium on end-diastolic cine images (A,D, triangular arrows), endocardial surface hypoperfusion zone on perfusion images (B,E, triangular arrows) and endocardial enhancement and overlying non-enhancing thrombus on LGE images (C,F, triangular arrows). (G–L) CMR findings during the subsequent hospitalization (G–I, short-axis view; J–L, four-chamber view). Enlargement of right atrium and right ventricle, flat ventricular septum (G,J, long arrows) and significantly reduced high-signal-intensity plane and thrombus (G,J, triangular arrows) on cine images, significantly reduced endocardial surface hypoperfusion zone on perfusion images (H,K, triangular arrows) and significantly thinning endocardial enhancement and overlying thrombus (I,L, triangular arrows), new strip-like LGE in the lateral wall (L, long arrows) on LGE images, representing replacement fibrosis.	PMC9273878	fcvm-09-928192-g0002.jpg
0.37926	88417619b8694c25b2f689cefa9fa751	Receiver operating characteristic curve (ROC) demonstrating the ability of ferritin level to predict in-hospital mortality. The optimal discriminatory cutoff point corresponded to a ferritin level of 490 ng/mL. Area under the ROC curve 0.65.	PMC9274159	10.1177_08850666221113252-fig1.jpg
0.427352	c57e14ba51364c80906eab32aab897b7	Probability of requiring transfer from general ward to ICU was higher among those patients with an admission ferritin level > 490 (solid line) compared to patients with a level < 490 (dashed line) (hazard ratio 2.0 [CI 1.5 to 2.6]; P < .001).	PMC9274159	10.1177_08850666221113252-fig2.jpg
0.525915	87f68a595cb944dda287ae9024978756	Overall, median ferritin levels were higher among non-survivors, but the decline in ferritin levels over the first 4 days in the ICU was similar between survivors (Circle) and non-survivors (Square) (interaction P-value = .4562).	PMC9274159	10.1177_08850666221113252-fig3.jpg
0.479979	a184cc63f31049908ac74d2db603bd34	Categorical response curves of the Psychiatric Inpatient Patient Experience Questionnaire – Continuous Electronic Measurement scales, patient-centred interactions and outcomes scales	PMC9275271	12913_2022_8307_Fig1_HTML.jpg
0.517605	1a394b8d6bba48d78400c31bf3b8df0d	Categorical response curves of the Psychiatric Inpatient Patient Experience Questionnaire – Continuous Electronic Measurement scales, structure and facilities scale	PMC9275271	12913_2022_8307_Fig2_HTML.jpg
0.466288	fcfae3a4a78741f69985408d9952e8c4	Flow chart.	PMC9275690	pone.0271166.g001.jpg
0.509126	e37a35ced9624815869b23d1fc610987	Course of arterial (dotted line) and venous (continuous line) vessel oxygen saturation of the total population during the treatment with aflibercept.No significant change was observed over the 12 months period.	PMC9275690	pone.0271166.g002.jpg
0.502228	2a5f006ca9954f65b1e5ce79385a8099	Course of arterial (dotted line) and venous (continuous line) vessel diameter of the total population during the treatment with aflibercept.No significant change was observed over the 12 months period.	PMC9275690	pone.0271166.g003.jpg
0.452492	f55118945f5a464f84e12b38b3789e21	Course of arterial flicker response for the total population undergoing intravitreal aflibercept injections over the observational period.	PMC9275690	pone.0271166.g004.jpg
0.410309	336c0f440a4d47c1accbab4d784f7c1b	Course of venous flicker response of the total population undergoing intravitreal aflibercept injections over the observational period.	PMC9275690	pone.0271166.g005.jpg
0.3981	8032b91fde9546e1bcd4488a4c865a59	Flow diagram of the selection process.	PMC9276121	medi-101-e29190-g001.jpg
0.387186	5e14003563514aa6ae95830625760694	Forest plots of the correlation between AGR and OS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, OS = overall survival.	PMC9276121	medi-101-e29190-g002.jpg
0.450814	af2a2b821eb3466eb5a4416da04210c2	Forest plots of the correlation between AGR and DFS/PFS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, DFS = disease-free survival, PFS = progress-free survival.	PMC9276121	medi-101-e29190-g003.jpg
0.429294	7665684d1225440d9124a6c47cd044bf	Sensitivity analysis of AGR on OS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, OS = overall survival.	PMC9276121	medi-101-e29190-g004.jpg
0.433286	0f15050119bb4ac7b3e9aef327447cf3	Sensitivity analysis of AGR on DFS/RFS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, DFS = disease-free survival, PFS = progress-free survival.	PMC9276121	medi-101-e29190-g005.jpg
0.471731	57a8f0e756e74d299935ba1074c8fe97	Flowchart of the study population. EV = esophageal varix, HREV = high-risk esophageal varix, LS = liver stiffness, SS = spleen stiffness.	PMC9276143	medi-101-e29389-g001.jpg
0.424649	60f9d25cf6964b9abc7387f6221798d7	Liver stiffness (LS), spleen stiffness (SS), liver stiffness-spleen size-to-platelet ratio risk score (LSPS), and spleen stiffness-spleen size-to-platelet ratio risk score (SSPS) values in no esophageal varix (EV) versus EV groups, and no high-risk esophageal varix (HREV) versus HREV groups. Box-and-whisker plots show comparison of LS (A), SS (B), LSPS (C), and SSPS (D) values among the groups by presence of EV and HREV.	PMC9276143	medi-101-e29389-g002.jpg
0.488301	ee829b7dbcb0491d8bf439dfce33dfed	Comparison of receiver operating characteristic curves of liver stiffness (LS), spleen stiffness (SS), liver stiffness-spleen size-to-platelet ratio risk score (LSPS), and spleen stiffness-spleen size-to-platelet ratio risk score (SSPS) for predicting (A) esophageal varix (EV) and (B) high-risk esophageal varix (HREV).	PMC9276143	medi-101-e29389-g003.jpg
0.458729	c07817ce75694fc098d22c4f362446f3	Correlogram showing the distribution of phenotypic data for various traits and pairwise correlations between various traits. PH, PL and PB showed a negative correlation with GL, GW and HGW	PMC9276952	12284_2022_582_Fig1_HTML.jpg
0.455709	33bc4817f74542f7835a0948c35bfaa6	PCA plot generated from marker data of 346 accessions of O. rufipogon population from 16 different countries	PMC9276952	12284_2022_582_Fig2_HTML.jpg
0.460595	4ea16f28d1334038b5bd5faecf9340a7	Classification of O. rufipogon population into six sub-populations represented by different colors: red, blue, green, yellow, pink, cyan	PMC9276952	12284_2022_582_Fig3_HTML.jpg
0.450748	e9351be8a70c499194b88c814695fd83	Number of SNPs within 1 Mb window for all the 12 chromosomes	PMC9276952	12284_2022_582_Fig4_HTML.jpg
0.433627	8f581b8a46af4fc7b5119d6231793bcd	Circular Manhattan plot depicting significant marker trait associations for various traits moving from center towards the periphery plant height, culm thickness, panicle length, number of primary branches per panicle, grain length, grain width and hundred grain weight where red and blue lines represent p-value ≤ 1e−6 (Bonferroni threshold) and 1e−4 (threshold in current study), respectively	PMC9276952	12284_2022_582_Fig5_HTML.jpg
0.476676	35312a250f75499d9c08bddea952b3a2	Box and whisker plots depicting significant allelic effects of significant MTAs for all the traits a CT b PB c PL d GL e GW f HGW	PMC9276952	12284_2022_582_Fig6a_HTML.jpg
0.444239	496f6a492e8840b5973f1571e16437e1	Photograph of the mass (A). Epithelial-like components showing cribriform or glandular pattern prominent throughout the neoplasm (B × 100). The epithelial cells are characterized by large, round or oval, vesicular nuclei and abundant pale-staining cytoplasm with indistinctly outlined cellular borders, and many goblet cells (C × 200). Focal areas of the neoplasm presented with well-developed spindle cell pattern (D × 200). Immunohistochemical studies demonstrated diffuse positive staining for EMA (E × 100), CK8/18 (F × 100), CgA (G × 100), and SYN (H × 100)	PMC9277931	13000_2022_1243_Fig1_HTML.jpg
0.469606	9d65b123699546c6a9c83bc9f7d1db30	There was one pair of fusion signals and one pair of break-apart signals in 79% of the tumor cells	PMC9277931	13000_2022_1243_Fig2_HTML.jpg
0.461867	0217a55ae5e346c58574307daf86b3c3	Characterization of Au–MnO2 and FTY720@AM/T7-TL NPs. (A) TEM images of Au–MnO2 NPs. (B) TEM images of FTY720@AM/T7-TL NPs. (C) DLS of Au–MnO2 and FTY720@AM/T7-TL NPs. (D) Zeta potential of FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0. (E) Fluorescence images of FTY720@AM/T7-TL NPs at various concentrations. (F) PL intensity of FTY720@AM/T7-TL NPs at various concentrations. (G) In vitro MR imaging of FTY720@AM/T7-TL NPs with different concentrations of Mn2+ at pH 7.4, 6.5 and 5.0. (H) Linear fitting of Mn2+ concentration and 1/T1 of FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0.	PMC9278082	gr1.jpg
0.400565	071e676e51f54583be77ac0bb1ca8096	Photothermal effect, in vitro dual-response drug release, and oxygen production capacity of FTY720@AM/T7-TL NPs. (A) Laser-triggered temperature elevation profiles for PBS, Au–MnO2 NPs, and FTY720@AM/T7-TL NPs (1 W/cm2, 808 nm, 10 min). (B) The photothermal images of prepared samples under continuous laser irradiation, corresponding to Fig. 2A. (C) The photothermal-conversion performance of Au–MnO2 NPs and FTY720@T7-TL NPs over four repeated laser on/off circles (1 W/cm2, 808 nm). (D) In vitro cumulative release profiles of FTY720 from FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0. (E) In vitro NIR-triggered release profiles of FTY720 from FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0. (F) In vitro oxygen production of FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0 in the presence of H2O2 solutions (100 μM).	PMC9278082	gr2.jpg
0.491015	0f8e0ea22c2c42908d3ae33cfed5e745	In vitro antitumor effect of FTY720@AM/T7-TL NPs. (A) Cell viability of HepG2 cells incubated with different concentration of treatment groups (except for PBS, the other groups containing FTY720 at 0.5, 1, 5, 10 or 15 μM/mL). (B) Cell viability of L02 cells incubated with different concentration of treatment groups (except for PBS, the other groups containing FTY720 at 0.5, 1, 5, 10 or 15 μM/mL). (C) Flow cytometry analysis of FITC-Annexin V/PI double-stained HepG2 cells incubated with the treatment groups (except for PBS, the other groups containing 10 μM/mL FTY720). (D) Live/dead cell assay of HepG2 incubated with treatment groups (except for PBS, the other groups containing 10 μM/mL FTY720), scale bar 100 μm. (E) Colony formation assay of HepG2 incubated with treatment groups (except for PBS, the other groups containing 10 μM/mL FTY720). The treatment groups were (a) PBS, (b) FTY720, (c) FTY720@AM/TL NPs, (d) FTY720@AM/T7-TL NPs, (e) FTY720@AM/TL NPs + Laser, and (f) FTY720@AM/T7-TL NPs + Laser. The NIR-treatment groups, (e) FTY720@AM/TL NPs + Laser and (f) FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm).	PMC9278082	gr3.jpg
0.411957	e133ac3c23e14c0d98c916700e5fccb7	Intercellular uptake and ROS generation. (A) CLSM images of HepG2 cells incubated with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs with or without irradiation treatment (Laser: 1 W/cm2, 808 nm, 10 min), scale bar 50 μm. (B) Intracellular ROS generation of HepG2 cells incubated with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs with or without NIR treatment (1 W/cm2, 808 nm, 10 min), scale bar 25 μm.	PMC9278082	gr4.jpg
0.406984	7bed821a87004684a9b950c944a16a0d	Activation of intracellular apoptotic signaling pathways by FTY720@AM/T7-TL NPs and NIR laser irradiation. (A) Western blot assays of proteins for apoptosis and DNA damage in HepG2 cells incubated with different treatment groups. The NIR-treatment groups, i.e., FTY720@AM/TL NPs + Laser and FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm). (B) Illustration of potential mechanisms (enhanced ROS and induced apoptosis) of FTY720@AM/T7-TL NP combined with NIR in HCC treatment.	PMC9278082	gr5.jpg
0.452957	36a31f59b1d54f00a16e7fc5a6a45a91	Fluorescence imaging properties of the prepared NPs in vivo. (A) In vivo AIE fluorescence images of HepG2 tumor-bearing nude mice injected with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs at 1, 3, 6, 12 and 24 h. (B) In vivo mean fluorescence signal intensity of the tumor area at 1, 3, 6, 12 and 24 h. (C) Ex vivo images of major organs and tumors collected at 24 h. (D) Mean fluorescence signal intensity of ex vivo major organs and tumors collected at 24 h (corresponding to Fig. 6C).	PMC9278082	gr6.jpg
0.414475	3f555df7f4004615b2c18c3ab03972f1	In vivo T1-weighted MR imaging properties. (A) In vivo T1-weight MR images of HepG2 tumor-bearing nude mice after injection with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs at 1, 3, 6, 12 and 24 h. (B) In vivo T1 signal intensity of FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs at 1, 3, 6, 12 and 24 h. (C) Biodistribution of Mn content 24 h after injection of FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs.	PMC9278082	gr7.jpg
0.407936	702d2e7252f045da9a1e7c58967fe664	In vivo synergistic treatment of HepG2 tumor-bearing nude mice model. (A) In vivo infrared thermal images of tumor-bearing mice at 6th h after injected with PBS, FTY720@AM/TL and FTY720@AM/T7-TL NPs, subjected to a laser treatment for 10 min (1 W/cm2, 808 nm). (B) The temperature change profiles of tumor site, corresponding to treatment-groups in Fig. 8A. (C) The Change in relative tumor volume of mice with different treatment groups. (D) The change in body weight of mice with different treatment groups. (E) Plot of tumor weight of mice with different treatment groups at day 14. (F) Photographs of tumors collected from mice with different treatment groups at day 14. (G) H&E staining of tumor sections collected from different treatment groups, scale bar 50 μm. For panels C, D, E, F, and G, the treatment groups were (a) PBS, (b) FTY720, (c) FTY720@AM/TL NPs, (d) FTY720@AM/T7-TL NPs, (e) FTY720@AM/TL NPs + Laser, and (f) FTY720@AM/T7-TL NPs + Laser. The NIR-treatment groups, (e) FTY720@AM/TL NPs + Laser and (f) FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm).	PMC9278082	gr8.jpg
0.47238	763b0b979f194801be775ca247c9d652	Long-term toxicity of the prepared NPs. (A) H&E staining of major organs after 14 days' treatment, scale bar 50 μm. (B) Blood biochemical analysis of the mice with different treatment groups on the 14th day. The treatment groups were (a) PBS, (b) FTY720, (c) FTY720@AM/TL NPs, (d) FTY720@AM/T7-TL NPs, (e) FTY720@AM/TL NPs + Laser, and (f) FTY720@AM/T7-TL NPs + Laser. The NIR-treatment groups, (e) FTY720@AM/TL NPs + Laser and (f) FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm).	PMC9278082	gr9.jpg
0.500438	ee7989fec6104d3eb3283eec7ecedcf3	Schematic illustration of therapeutic mechanism of FTY720@AM/T7-TL NPs nanoplatform: dual stimuli-responsive drug release, fluorescence/MRI-modal imaging, in situ oxygen supplement, and enhanced synergistic PDT/PTT/chemotherapy.	PMC9278082	sc1.jpg
0.376297	0ecaad934b80438b8e1de454eabe6bbb	(a) Retinal segmentation at optical coherence tomography (OCT) angiography. (b) The superficial retinal vessel density. (c) The superficial retinal perfusion density. (d) The colored lines in horizontal OCT B-scans show segmentation lines that define the different depth in the retinal tissue of the superficial capillary plexus. (e) Graphic representation of retinal area evaluated at OCT angiography. The software selected the 3 × 3 mm image with 2 rings of 3.0 and 1.0 mm diameter centered on the fovea. The vessel density was calculated for the whole 3 mm circle area centered on the fovea (whole image) (1E), for the area inside the central 1 mm circle (foveal sector) (2E), for the area between the outer 3 mm circle and the inner 1 mm circle (parafoveal sector) (3E).	PMC9279070	BMRI2022-1229009.001.jpg
0.507221	0d3478a3a6c54991b10fac050c093a55	Vessel length density of the superficial plexus in different sectors. Solid lines represent the patients with interocular difference ≤ 1.5 D in SER. Dotted lines represent the patients with interocular difference > 1.5 D in SER.	PMC9279070	BMRI2022-1229009.002.jpg
0.455983	6adbb14433904cf698a4f7d658f3f2a6	Study design and flow chart of participants	PMC9279211	394_2022_2815_Fig1_HTML.jpg
0.446884	60b2c46cb9f44e0f9934c682779ec0f8	Associations between quintiles of the AHEI-2010 diet score and the asthma symptom score, stratified according to smoking status, body mass index (BMI) and ever asthma. Models were adjusted for age, energy intake, physical activity, smoking (excepted in models stratified by smoking status), educational level, marital status, and having farmer parents. The first quintile (Q1) serves as reference. Asthma symptom score ranges from 0 to 5	PMC9279211	394_2022_2815_Fig2_HTML.jpg
0.430341	34e2370f488f4958b9626872ca5474de	Associations between tertiles of the AHEI-2010 diet score and uncontrolled asthma, stratified according to smoking status and BMI. Models were adjusted for age, energy intake, physical activity, smoking (excepted in models stratified by smoking status), educational level, marital status and having farmer parents. The first tertile (T1) serves as reference	PMC9279211	394_2022_2815_Fig3_HTML.jpg
0.404209	87d9c99505fe46698b582d23a2545198	Associations between tertiles of the AHEI-2010 diet score and multimorbidity-related medication profiles, stratified according to smoking status. Models were adjusted for age, energy intake, physical activity, educational level, marital status and having farmer parents. The first tertile (T1) serves as reference	PMC9279211	394_2022_2815_Fig4_HTML.jpg
0.35656	411b220f4ab745238f8128a7d26078d2	Patient and MRI sequence selection.	PMC9279296	41598_2022_16066_Fig1_HTML.jpg
0.49889	5d626492b74f44e2a2d9d2e4f6b67b6b	Key pathways involved in Diabetic muscular atrophy.	PMC9279556	fendo-13-917113-g001.jpg
0.401917	2d95912f32f847b585137df77d28a19a	Serial Sagittal Slices Through the Left Hemisphere of Both Cohorts Showing the Overlap of Anatomical Lesion TracingsLesion overlap for the cohort who underwent the naming task (A) and the semantic decision task (B). Percent of lesion overlap within each cohort is indicated by the spectrum color.	PMC9280993	WNL-2022-200569f1.jpg

0.4961

851900eb92004aafbb3b1df1c20f03fc

Supercritical fluid extraction system; 1: valve, 2: high pressure filter, 3: rapture disc, 4: one-way valve, 5: regulating valve, 6: gas flowmeter, PI: pressure indicator and TI: temperature indicator.

PMC9269414

plants-11-01749-g002.jpg

0.401649

367ee413d0944eba9871b19ee8c4a3a1

Normal human epidermal melanocytes (NHEMs) during cultivation.

PMC9269414

plants-11-01749-g003.jpg

0.478167

e775aef869a247839fade15035f24bce

Metabolic activity of melanoma cells WM-266-4 at different concentrations of extracts (EA, EB, EC, ED, EE, EG and EH).

PMC9269414

plants-11-01749-g004.jpg

0.530916

cd7be57f5ad94d61bd4463d6d9167b1f

Annexin V/7-AAD staining in melanoma WM-266-4 cells. Cells treated with EC extract of concentration (a) 3 × 10−3 mg/mL, (b) 2 × 10−3 mg/mL, (c) 10−3 mg/mL, (d) 7 × 10−4 mg/mL and (e) untreated cells.

PMC9269414

plants-11-01749-g005.jpg

0.429249

ba4512e9c5d541afb7650418a8443044

Cell distribution; effect of hemp (EC) extract on activation of apoptosis in WM−266−4 cells (c1 = 3 × 10−3 mg/mL, c2 = 2 × 10−3 mg/mL, c3 = 10−3 mg/mL, c4 = 7 × 10−4 mg/mL).

PMC9269414

plants-11-01749-g006.jpg

0.469089

cce0dda6e0354e7897c1952c81dda983

Metabolic activity of melanoma cells WM−266−4 at different concentrations of EC.

PMC9269414

plants-11-01749-g007.jpg

0.393843

4ffce4bbeadd4652be96f2a2f3a86e58

(a) Normal human epidermal melanocytes in medium; (b) normal human epidermal melanocytes with applied extract (103 mg/mL); (c) human melanoma cells WM-266-4; (d) human melanoma cells WM-266-4 with applied extract (10−3 mg/mL).

PMC9269414

plants-11-01749-g008.jpg

0.453344

41a44a83cf81487bb56d88a7a36cb191

Comparison of cancer cell metabolic activity in % according to control between different hemp extracts.

PMC9269414

plants-11-01749-g0A1.jpg

0.416723

e8df064b4e6e418fa520df07ca20f51e

Correlation of extract concentration and cancer cell metabolic activity in % according to control of different hemp extracts.

PMC9269414

plants-11-01749-g0A2.jpg

0.439549

67502c5fe7f04a6e98d3c6bffd34db9f

Layers and modular-based open logistics architecture.

PMC9269546

sensors-22-04699-g001.jpg

0.50387

7a735c00d44043fc87dc3b1d0636b8a9

Component diagram and network specification of OL.

PMC9269546

sensors-22-04699-g002.jpg

0.406658

6e685239abd84fb0be618e0f4d9a3f43

Blockchain asset sharing service: The driver can use a mobile application to connect OL.

PMC9269546

sensors-22-04699-g003.jpg

0.492407

29dfa49c70cd4db7b1dc1411c08cffdf

Process of requesting service from the distribution center.

PMC9269546

sensors-22-04699-g004.jpg

0.457448

f844feba90254a62ad43eaaf3ad02f91

Typical capabilities needed for customers or service providers.

PMC9269546

sensors-22-04699-g005.jpg

0.508663

294ab3ad0a1140278e9f9196dfaadfcc

Develop a simulation platform.

PMC9269546

sensors-22-04699-g006.jpg

0.461752

c45c4d9b40304213ad9b70eafe38047a

Developed blockchain network: three clients and 6 edge nodes.

PMC9269546

sensors-22-04699-g007.jpg

0.400686

f0ac6ffb475c4db496614f49e7d213af

Communication between physical simulation module and OL.

PMC9269546

sensors-22-04699-g008.jpg

0.470988

babebe7cb1e249fe9e75e2c3f49d52a0

Service usage rate between the distribution center and manufacturers: three carriers’ companies.

PMC9269546

sensors-22-04699-g009.jpg

0.446287

503bf3935fb54bfb971745ad62eefab4

Surface chart of the latency of various transaction sizes: 9 different ranges.

PMC9269546

sensors-22-04699-g010.jpg

0.399409

d3c4913c65134fd4b254441e1e5c1041

Monitoring network: left side figure shows CPU utilization, and the right side shows network in results.

PMC9269546

sensors-22-04699-g011.jpg

0.395283

1a38f30ae9a74dccb480d27d3b859c87

Block committed per minute: with various sized blocks (5 nodes, 10 nodes, 15 nodes, and 20 nodes).

PMC9269546

sensors-22-04699-g012.jpg

0.414247

271f2636a3c64969b1ed3bf4de9a298f

Computed Tomography Assessment of the Aortic Root and Aortography(A) Computed tomography (CT) at the level of the virtual basal ring (VBR) showing a partially calcified sinus of Valsalva aneurysm (SVA) (arrow) originating from the right coronary cusp (left) CT 3-dimensional reconstruction of the aortic root with visualization of the SVA (arrow) (right). (B) CT evaluation of the SVA dimensions and depiction of the distance between the VBR (a) and the height of the neck of the SVA (b) measuring 1.7 mm. (C) Aortic root CT analysis including measurements of sinus of Valsalva (SOV), sinotubular junction (STJ), left coronary (LCA) height, and right coronary (RCA) height. (D) Aortography in the right-anterior oblique view with visualization of the SVA (arrow) followed by (E) deployment angiographic run before valve deployment. (F) Aortography after valve deployment showing no evidence of aortic regurgitation and exclusion of the SVA (arrow).

PMC9270628

gr1.jpg

0.410387

fd928103dcf446608d9261af926ede4e

Structures of ginsenosides.

PMC9270656

gr1.jpg

0.391322

6dd9491ab309417a935e1c61f54e104a

Structures of non-ginsenosides.

PMC9270656

gr2.jpg

0.45707

5b927963f80d465f8e9068d2fc8affb3

Description of compounds analyzed in this study. (A) Selection criteria for the compounds evaluated in this study. (B) Distribution of the number of targets of compounds.

PMC9270656

gr3.jpg

0.422292

cdc3254d47a148c38a0d8681d15cd1e5

Etiology of obesity.

PMC9270656

gr4.jpg

0.403292

631b286743d14f7397d39679462d5af7

Proximity between neuropeptide family genes and targets of compounds. Relative distances higher than −0.5 are masked.

PMC9270656

gr5.jpg

0.374093

47cb74b0c2c249d7bd5eb188e1b29902

Interactome neighborhood showing associations between the neuropeptide gene families including the (A) adipose neuropeptide gene family, (B) CCK and gastrin gene family, (C) insulin family, and (D) opioid gene family and compounds in ginseng radix. Nodes and edges indicate proteins and their interactions, respectively. Colors filled in nodes indicate whether the protein belongs to the neuropeptides, compound targets, or proteins that connect signaling between neuropeptides and compound targets. Colors filled in borders of nodes indicate the compound that targets the protein.

PMC9270656

gr6.jpg

0.484168

af67d218a75e4546bc02f1b4ec2c56a0

Daily COVID-19 deaths, for Blacks and Whites, by sex.Note: The figure reports the daily number of COVID-19 deaths by day, by sex, for Blacks and Whites. The sample refers to COVID-19 deaths recorded by the Medical Examiner in Cook County, March 16–September 15, 2020.

PMC9272662

gr1_lrg.jpg

0.395564

bf75de2bad2444d0a8b74f9bf5f78000

Excess deaths for Blacks and Whites and Black–White excess death differential, by sex.Note: The dependent variables are excess deaths for Blacks and Whites, by sex (females in top left panel, males in top right panel) and the Black–White differential in excess deaths, by sex (females in bottom left panel, males in bottom right panel). The coefficients are least-squares estimates of the βs. Block group fixed effects are included in all panels and week fixed effects are also included in the bottom panels. Vertical lines represent 95 percent confidence intervals based on standard errors clustered at a block group level. The sample refers to deaths recorded by the Medical Examiner in Cook County, January 1–September 15, 2020 and 2019. The omitted period is τ=0, i.e., week 11.

PMC9272662

gr2_lrg.jpg

0.427066

632308e3e01043e8bad43fea2a5609fe

Occupations: Health care and transportation/warehousing.Note: The dependent variables are Black–White differentials in excess deaths, by sex, for the health care and transportation/warehousing occupational sectors. The coefficients are least-squares estimates of the βs over samples with above and below median share of females in the female labor force (top panels) and males in the male labor force (bottom panels) in each sector. Block group and week fixed effects are included. Vertical lines represent 95 percent confidence intervals based on standard errors clustered at a block group level. The sample refers to deaths recorded by the Medical Examiner in Cook County, January 1–September 15, 2020 and 2019. The omitted period is τ=0, i.e., week 11.

PMC9272662

gr3_lrg.jpg

0.427039

c8611da4a49a4aae84b42fd6ee97d44d

Public transport and commuting distance.Note: The dependent variables are Black–White differentials in excess deaths, by sex, for public transport and commuting distance. The coefficients are least-squares estimates of the βs over samples with above and below median share of individual using public transport (left panels) and commuting distance (right panels). Block group and week fixed effects are included. Vertical lines represent 95 percent confidence intervals based on standard errors clustered at a block group level. The sample refers to deaths recorded by the Medical Examiner in Cook County, January 1–September 15, 2020 and 2019. The omitted period is τ=0, i.e., week 11.

PMC9272662

gr4_lrg.jpg

0.424492

68528a2ebd6d4e7687aade960899756a

Changes in the number of patients [36] in Japan.A. From the top, the number of hospitalized patients, new patients with positive PCR test on that day, severe patients requiring intensive care, and deaths. The blue lines represent the 6th wave. The green lines show the 2nd and 3rd rate of vaccinations (on the right y-axis). B. The number of newly positive patients vs. hospitalized patients. C. The number of newly positive patients vs. patients with severe symptoms. D. The number of newly positive patients vs. deaths (2 weeks later). Fit lines (grey) for 1st–5th waves were obtained by a robust method, i.e., the line function of the R.

PMC9273074

pone.0271305.g001.jpg

0.441545

4b800a6f2c9e4d828ed5804bb0c889fc

Principal component analysis (PCA) with axes found in the data up to April 2020.The axes reflect the differences in the data at this point. A. These data, in addition to 27 000 randomly selected human samples from the data up to December 2021 have been shown. Blue is WHO-variant of concern (VOC); W is the first variant. B. Animal samples are shown on the same axis as in A.

PMC9273074

pone.0271305.g002.jpg

0.465843

533400bb94dd4921b838b71a1fc34a2f

Spread of Omicron variants.A. Human data is presented the axes determined by WHO- variant of concern (VOC). Each axis reflects the differences among these variants. Grey reflects 27 000 randomly selected data from the global data. Khaki reflects African data of 17 000 samples from July 2021 to January 2022. Omicron is depicted on the right-hand side of the figure; 10/12 and 10/24 were the first reported cases in South Africa (blue). B. Pandemics in South Africa (grey) and groups accounting for the percentage of cases at each time point (coloured lines) are specified. C, D. The time course of the global data is presented in A. Each variant has a range of mutations depending on the number of patients but does not change continuously. Rather, another, more potent variant creates the next pandemic.

PMC9273074

pone.0271305.g003.jpg

0.401974

52f66d8ed4884a5fabc4439479452842

Results for the axes found in the various samples.A. Axes found in coronaviruses. All SARS-CoV-2 are on the far right. B. The same series of axes of principal component (PC) 139 and 140, showing the characteristics of Omicron variant. The fact that all coronaviruses do not appear in this neighbourhood indicates that Omicron has features completely independent of other variants. C. Axes found in animal SARS-CoV-2 and WHO-variant of concern (VOC). There is no data in the vicinity of the omicron, indicating that the causal mutations were unique. D. PC 21 and PC 25 of the same set of axes as C, showing the characteristics of mink and deer variants in several countries. Blue arrow shows the mink variant prevalent in humans.

PMC9273074

pone.0271305.g004.jpg

0.474563

718bd5a00d2a4970b888492abf6842a7

Changes in each variant compared to average data as of April 2020.Each panel consists of three sub-panels; from top to bottom: Genomic variation, protein variation, and the proportion of missense mutations. The top two panels show the number of mutations per 1000 bases or residues, with S and N being the most prominent: A, Alpha; B, Delta; C, Lambda; and D, Omicron. Omicron variant has a particularly high number of S protein mutations.

PMC9273074

pone.0271305.g005.jpg

0.456986

4f866161e7b64f64872c0567b4b8ad80

Animal variants compared to the average human data up to April 2020.Those are the most distant variants found in Fig 4D. The mutations are smaller than those of WHO-variant of concern (VOC) in Fig 5 and are not concentrated in the S or N.

PMC9273074

pone.0271305.g006.jpg

0.436349

39410bc7a8af4625a1b2503121c4154b

The leaves and fruits of three greengage genotypes [Prunus domestica (subsp. italica var. claudiana.)] with local names Gavali (1), Ghandi (2) and Shahryari (3) and a myrobalan (4) plum (prunus ceracifera) with local name of Jangali.

PMC9273089

pone.0271201.g001.jpg

0.414591

cfc03b40f0fa468b994c5d70b96c2d3c

Methodology diagram of the LA estimation model development.

PMC9273089

pone.0271201.g002.jpg

0.454044

6e9f4d81b7ee4252a608de15f68c1a8c

Results of image segmentation steps; a) primary RGB image, b) EXG image, c) first obtained binary image after implementing optimal threshold on the EXG image, and d) final binary image after removing small objects (noises) and filling inside leaf regions.

PMC9273089

pone.0271201.g003.jpg

0.362009

3bd6cd914ef246e3bb0401be55edcc5f

Scatter plot of the estimated LA values by LA = 0.007 + 0.687 L×W model vs. the corresponding measured LA values of 2019 dataset.

PMC9273089

pone.0271201.g004.jpg

0.422992

37b2b6db39eb4edcb99678765c08900b

Scatter plots of the estimated LA values by LA = 0.007 + 0.687 L×W model (developed by 2019 data) vs. the corresponding measured LA values of 2021 dataset for different genotypes; a) Gavali, b) Ghandi, c) Shahryari, and d) Jangali.

PMC9273089

pone.0271201.g005.jpg

0.41426

8d93ca375aab4f03b53d696906f11273

Scatter plot of the estimated LA values by universal regression model (LA = -0.039+0.6922 L×W) vs. the corresponding measured LA values of 2021 dataset containing all studied genotypes.

PMC9273089

pone.0271201.g006.jpg

0.479815

fd0a5166b6bd410ea6838560bd142f11

Variations of MSE value for training, testing and validation datasets during the training process of the optimized ANNs; a) the LM-LS-21 model for 2019 data, b) the LM-LS-27 model for 2021 data.

PMC9273089

pone.0271201.g007.jpg

0.489796

4a119198cbb34f6996d9720c3fdf6d41

Performance criteria for ANN models with different numbers of neurons in the hidden layer, a) variation of the R2 value of the LM-LS-21 model for 2019 data, b) variation of the RMSE value of the LM-LS-21 model for 2019 data, c) variation of the R2 value of the LM-LS-27 model for 2021 data, d) variation of the RMSE value of the LM-LS-27 model for 2021 data.

PMC9273089

pone.0271201.g008.jpg

0.420628

5bbe50dc3bd14592a0c2130514048ee3

Scatter plots of the estimated LA values of selected ANN models v. the corresponding measured values; a) the 2019 data-driven ANN on the training dataset, b) the 2019 data-driven ANN on the test dataset, c) the 2021 data-driven ANN on the training dataset, and d) the 2021 data-driven ANN on the test dataset.

PMC9273089

pone.0271201.g009.jpg

0.448678

55dc55fbdc964917a319a8017be1ba1e

Fuzzy linguistic rules of optimized ANFIS model driven from 2019 data.

PMC9273089

pone.0271201.g010.jpg

0.433961

ccefab097d8e40788f8a05834b054e61

Scatters plot of measured vs. estimated LA values of selected ANFIS models; a) the 2019 data-driven ANFIS on the training dataset, b) the 2019 data-driven ANFIS on the test dataset, c) the 2021 data-driven ANFIS on the training dataset, and d) the 2021 data-driven ANFIS on the test dataset.

PMC9273089

pone.0271201.g011.jpg

0.408434

4a575e6079244fc39881f2b4d27fe56f

Scatter plots of estimated LA values by linear SVR model vs. the corresponding measured LA values, a) 2019 experiments, and d) 2021 experiments.

PMC9273089

pone.0271201.g012.jpg

0.404253

74946a7010124f1290db690c8f751bba

Flow chart PROPELLOR Study

PMC9273547

420_2022_1888_Fig1_HTML.jpg

0.414396

b538f35c89bf4f11824a904cd82d5358

Flow diagram of the study selection process.

PMC9273837

fcvm-09-915533-g0001.jpg

0.451151

8c7d75b1f856429c92552ba4a818df49

The main pathophysiological pathways of cardiorenal syndrome associated with SARS-CoV-2 infection.

PMC9273837

fcvm-09-915533-g0002.jpg

0.413599

bc3e2f63fc294a5eaee3359d59286e45

Imaging findings of eosinophilic granulomatosis with polyangiitis (A–D,H) Imaging findings during the initial hospitalization (A,D, coronal view; B,C,H, transverse view). Multiple patchy consolidations of both lungs (A,B, triangular arrows) on CMR images, multiple acute cerebral infarctions (C, triangular arrows) with no obvious cerebrovascular stenosis (H, triangular arrows) on brain MR images and sinusitis and nasal polyps (D, triangular arrows) on reconstructed CT images. (E–G) Imaging findings during the subsequent hospitalization (E, coronal view; F,G, transverse view). Significantly absorbed multiple lesions of both lungs (E,F), the pulmonary hypertension with increased diameters of pulmonary trunk from 28 mm (B) to 32 mm (F) and multiple encephalomalacia (G, long arrows).

PMC9273878

fcvm-09-928192-g0001.jpg

0.423164

9eb2dfc762024a93ba4d9239a82e6378

Comparison of cardiovascular involvement detected by CMR during two separate hospitalizations (A–F) CMR findings during the initial hospitalization (A–C, short-axis view; D–F, four-chamber view). Distinct high-signal-intensity plane separating the thrombus from underlying myocardium on end-diastolic cine images (A,D, triangular arrows), endocardial surface hypoperfusion zone on perfusion images (B,E, triangular arrows) and endocardial enhancement and overlying non-enhancing thrombus on LGE images (C,F, triangular arrows). (G–L) CMR findings during the subsequent hospitalization (G–I, short-axis view; J–L, four-chamber view). Enlargement of right atrium and right ventricle, flat ventricular septum (G,J, long arrows) and significantly reduced high-signal-intensity plane and thrombus (G,J, triangular arrows) on cine images, significantly reduced endocardial surface hypoperfusion zone on perfusion images (H,K, triangular arrows) and significantly thinning endocardial enhancement and overlying thrombus (I,L, triangular arrows), new strip-like LGE in the lateral wall (L, long arrows) on LGE images, representing replacement fibrosis.

PMC9273878

fcvm-09-928192-g0002.jpg

0.37926

88417619b8694c25b2f689cefa9fa751

Receiver operating characteristic curve (ROC) demonstrating the ability of ferritin level to predict in-hospital mortality. The optimal discriminatory cutoff point corresponded to a ferritin level of 490 ng/mL. Area under the ROC curve 0.65.

PMC9274159

10.1177_08850666221113252-fig1.jpg

0.427352

c57e14ba51364c80906eab32aab897b7

Probability of requiring transfer from general ward to ICU was higher among those patients with an admission ferritin level > 490 (solid line) compared to patients with a level < 490 (dashed line) (hazard ratio 2.0 [CI 1.5 to 2.6]; P < .001).

PMC9274159

10.1177_08850666221113252-fig2.jpg

0.525915

87f68a595cb944dda287ae9024978756

Overall, median ferritin levels were higher among non-survivors, but the decline in ferritin levels over the first 4 days in the ICU was similar between survivors (Circle) and non-survivors (Square) (interaction P-value = .4562).

PMC9274159

10.1177_08850666221113252-fig3.jpg

0.479979

a184cc63f31049908ac74d2db603bd34

Categorical response curves of the Psychiatric Inpatient Patient Experience Questionnaire – Continuous Electronic Measurement scales, patient-centred interactions and outcomes scales

PMC9275271

12913_2022_8307_Fig1_HTML.jpg

0.517605

1a394b8d6bba48d78400c31bf3b8df0d

Categorical response curves of the Psychiatric Inpatient Patient Experience Questionnaire – Continuous Electronic Measurement scales, structure and facilities scale

PMC9275271

12913_2022_8307_Fig2_HTML.jpg

0.466288

fcfae3a4a78741f69985408d9952e8c4

Flow chart.

PMC9275690

pone.0271166.g001.jpg

0.509126

e37a35ced9624815869b23d1fc610987

Course of arterial (dotted line) and venous (continuous line) vessel oxygen saturation of the total population during the treatment with aflibercept.No significant change was observed over the 12 months period.

PMC9275690

pone.0271166.g002.jpg

0.502228

2a5f006ca9954f65b1e5ce79385a8099

Course of arterial (dotted line) and venous (continuous line) vessel diameter of the total population during the treatment with aflibercept.No significant change was observed over the 12 months period.

PMC9275690

pone.0271166.g003.jpg

0.452492

f55118945f5a464f84e12b38b3789e21

Course of arterial flicker response for the total population undergoing intravitreal aflibercept injections over the observational period.

PMC9275690

pone.0271166.g004.jpg

0.410309

336c0f440a4d47c1accbab4d784f7c1b

Course of venous flicker response of the total population undergoing intravitreal aflibercept injections over the observational period.

PMC9275690

pone.0271166.g005.jpg

0.3981

8032b91fde9546e1bcd4488a4c865a59

Flow diagram of the selection process.

PMC9276121

medi-101-e29190-g001.jpg

0.387186

5e14003563514aa6ae95830625760694

Forest plots of the correlation between AGR and OS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, OS = overall survival.

PMC9276121

medi-101-e29190-g002.jpg

0.450814

af2a2b821eb3466eb5a4416da04210c2

Forest plots of the correlation between AGR and DFS/PFS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, DFS = disease-free survival, PFS = progress-free survival.

PMC9276121

medi-101-e29190-g003.jpg

0.429294

7665684d1225440d9124a6c47cd044bf

Sensitivity analysis of AGR on OS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, OS = overall survival.

PMC9276121

medi-101-e29190-g004.jpg

0.433286

0f15050119bb4ac7b3e9aef327447cf3

Sensitivity analysis of AGR on DFS/RFS in CRC patients. AGR = albumin to globulin ratio, CRC = colorectal cancer, DFS = disease-free survival, PFS = progress-free survival.

PMC9276121

medi-101-e29190-g005.jpg

0.471731

57a8f0e756e74d299935ba1074c8fe97

Flowchart of the study population. EV = esophageal varix, HREV = high-risk esophageal varix, LS = liver stiffness, SS = spleen stiffness.

PMC9276143

medi-101-e29389-g001.jpg

0.424649

60f9d25cf6964b9abc7387f6221798d7

Liver stiffness (LS), spleen stiffness (SS), liver stiffness-spleen size-to-platelet ratio risk score (LSPS), and spleen stiffness-spleen size-to-platelet ratio risk score (SSPS) values in no esophageal varix (EV) versus EV groups, and no high-risk esophageal varix (HREV) versus HREV groups. Box-and-whisker plots show comparison of LS (A), SS (B), LSPS (C), and SSPS (D) values among the groups by presence of EV and HREV.

PMC9276143

medi-101-e29389-g002.jpg

0.488301

ee829b7dbcb0491d8bf439dfce33dfed

Comparison of receiver operating characteristic curves of liver stiffness (LS), spleen stiffness (SS), liver stiffness-spleen size-to-platelet ratio risk score (LSPS), and spleen stiffness-spleen size-to-platelet ratio risk score (SSPS) for predicting (A) esophageal varix (EV) and (B) high-risk esophageal varix (HREV).

PMC9276143

medi-101-e29389-g003.jpg

0.458729

c07817ce75694fc098d22c4f362446f3

Correlogram showing the distribution of phenotypic data for various traits and pairwise correlations between various traits. PH, PL and PB showed a negative correlation with GL, GW and HGW

PMC9276952

12284_2022_582_Fig1_HTML.jpg

0.455709

33bc4817f74542f7835a0948c35bfaa6

PCA plot generated from marker data of 346 accessions of O. rufipogon population from 16 different countries

PMC9276952

12284_2022_582_Fig2_HTML.jpg

0.460595

4ea16f28d1334038b5bd5faecf9340a7

Classification of O. rufipogon population into six sub-populations represented by different colors: red, blue, green, yellow, pink, cyan

PMC9276952

12284_2022_582_Fig3_HTML.jpg

0.450748

e9351be8a70c499194b88c814695fd83

Number of SNPs within 1 Mb window for all the 12 chromosomes

PMC9276952

12284_2022_582_Fig4_HTML.jpg

0.433627

8f581b8a46af4fc7b5119d6231793bcd

Circular Manhattan plot depicting significant marker trait associations for various traits moving from center towards the periphery plant height, culm thickness, panicle length, number of primary branches per panicle, grain length, grain width and hundred grain weight where red and blue lines represent p-value ≤ 1e−6 (Bonferroni threshold) and 1e−4 (threshold in current study), respectively

PMC9276952

12284_2022_582_Fig5_HTML.jpg

0.476676

35312a250f75499d9c08bddea952b3a2

Box and whisker plots depicting significant allelic effects of significant MTAs for all the traits a CT b PB c PL d GL e GW f HGW

PMC9276952

12284_2022_582_Fig6a_HTML.jpg

0.444239

496f6a492e8840b5973f1571e16437e1

Photograph of the mass (A). Epithelial-like components showing cribriform or glandular pattern prominent throughout the neoplasm (B × 100). The epithelial cells are characterized by large, round or oval, vesicular nuclei and abundant pale-staining cytoplasm with indistinctly outlined cellular borders, and many goblet cells (C × 200). Focal areas of the neoplasm presented with well-developed spindle cell pattern (D × 200). Immunohistochemical studies demonstrated diffuse positive staining for EMA (E × 100), CK8/18 (F × 100), CgA (G × 100), and SYN (H × 100)

PMC9277931

13000_2022_1243_Fig1_HTML.jpg

0.469606

9d65b123699546c6a9c83bc9f7d1db30

There was one pair of fusion signals and one pair of break-apart signals in 79% of the tumor cells

PMC9277931

13000_2022_1243_Fig2_HTML.jpg

0.461867

0217a55ae5e346c58574307daf86b3c3

Characterization of Au–MnO2 and FTY720@AM/T7-TL NPs. (A) TEM images of Au–MnO2 NPs. (B) TEM images of FTY720@AM/T7-TL NPs. (C) DLS of Au–MnO2 and FTY720@AM/T7-TL NPs. (D) Zeta potential of FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0. (E) Fluorescence images of FTY720@AM/T7-TL NPs at various concentrations. (F) PL intensity of FTY720@AM/T7-TL NPs at various concentrations. (G) In vitro MR imaging of FTY720@AM/T7-TL NPs with different concentrations of Mn2+ at pH 7.4, 6.5 and 5.0. (H) Linear fitting of Mn2+ concentration and 1/T1 of FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0.

PMC9278082

gr1.jpg

0.400565

071e676e51f54583be77ac0bb1ca8096

Photothermal effect, in vitro dual-response drug release, and oxygen production capacity of FTY720@AM/T7-TL NPs. (A) Laser-triggered temperature elevation profiles for PBS, Au–MnO2 NPs, and FTY720@AM/T7-TL NPs (1 W/cm2, 808 nm, 10 min). (B) The photothermal images of prepared samples under continuous laser irradiation, corresponding to Fig. 2A. (C) The photothermal-conversion performance of Au–MnO2 NPs and FTY720@T7-TL NPs over four repeated laser on/off circles (1 W/cm2, 808 nm). (D) In vitro cumulative release profiles of FTY720 from FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0. (E) In vitro NIR-triggered release profiles of FTY720 from FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0. (F) In vitro oxygen production of FTY720@AM/T7-TL NPs at pH 7.4, 6.5 and 5.0 in the presence of H2O2 solutions (100 μM).

PMC9278082

gr2.jpg

0.491015

0f8e0ea22c2c42908d3ae33cfed5e745

In vitro antitumor effect of FTY720@AM/T7-TL NPs. (A) Cell viability of HepG2 cells incubated with different concentration of treatment groups (except for PBS, the other groups containing FTY720 at 0.5, 1, 5, 10 or 15 μM/mL). (B) Cell viability of L02 cells incubated with different concentration of treatment groups (except for PBS, the other groups containing FTY720 at 0.5, 1, 5, 10 or 15 μM/mL). (C) Flow cytometry analysis of FITC-Annexin V/PI double-stained HepG2 cells incubated with the treatment groups (except for PBS, the other groups containing 10 μM/mL FTY720). (D) Live/dead cell assay of HepG2 incubated with treatment groups (except for PBS, the other groups containing 10 μM/mL FTY720), scale bar 100 μm. (E) Colony formation assay of HepG2 incubated with treatment groups (except for PBS, the other groups containing 10 μM/mL FTY720). The treatment groups were (a) PBS, (b) FTY720, (c) FTY720@AM/TL NPs, (d) FTY720@AM/T7-TL NPs, (e) FTY720@AM/TL NPs + Laser, and (f) FTY720@AM/T7-TL NPs + Laser. The NIR-treatment groups, (e) FTY720@AM/TL NPs + Laser and (f) FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm).

PMC9278082

gr3.jpg

0.411957

e133ac3c23e14c0d98c916700e5fccb7

Intercellular uptake and ROS generation. (A) CLSM images of HepG2 cells incubated with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs with or without irradiation treatment (Laser: 1 W/cm2, 808 nm, 10 min), scale bar 50 μm. (B) Intracellular ROS generation of HepG2 cells incubated with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs with or without NIR treatment (1 W/cm2, 808 nm, 10 min), scale bar 25 μm.

PMC9278082

gr4.jpg

0.406984

7bed821a87004684a9b950c944a16a0d

Activation of intracellular apoptotic signaling pathways by FTY720@AM/T7-TL NPs and NIR laser irradiation. (A) Western blot assays of proteins for apoptosis and DNA damage in HepG2 cells incubated with different treatment groups. The NIR-treatment groups, i.e., FTY720@AM/TL NPs + Laser and FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm). (B) Illustration of potential mechanisms (enhanced ROS and induced apoptosis) of FTY720@AM/T7-TL NP combined with NIR in HCC treatment.

PMC9278082

gr5.jpg

0.452957

36a31f59b1d54f00a16e7fc5a6a45a91

Fluorescence imaging properties of the prepared NPs in vivo. (A) In vivo AIE fluorescence images of HepG2 tumor-bearing nude mice injected with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs at 1, 3, 6, 12 and 24 h. (B) In vivo mean fluorescence signal intensity of the tumor area at 1, 3, 6, 12 and 24 h. (C) Ex vivo images of major organs and tumors collected at 24 h. (D) Mean fluorescence signal intensity of ex vivo major organs and tumors collected at 24 h (corresponding to Fig. 6C).

PMC9278082

gr6.jpg

0.414475

3f555df7f4004615b2c18c3ab03972f1

In vivo T1-weighted MR imaging properties. (A) In vivo T1-weight MR images of HepG2 tumor-bearing nude mice after injection with FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs at 1, 3, 6, 12 and 24 h. (B) In vivo T1 signal intensity of FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs at 1, 3, 6, 12 and 24 h. (C) Biodistribution of Mn content 24 h after injection of FTY720@AM/TL NPs and FTY720@AM/T7-TL NPs.

PMC9278082

gr7.jpg

0.407936

702d2e7252f045da9a1e7c58967fe664

In vivo synergistic treatment of HepG2 tumor-bearing nude mice model. (A) In vivo infrared thermal images of tumor-bearing mice at 6th h after injected with PBS, FTY720@AM/TL and FTY720@AM/T7-TL NPs, subjected to a laser treatment for 10 min (1 W/cm2, 808 nm). (B) The temperature change profiles of tumor site, corresponding to treatment-groups in Fig. 8A. (C) The Change in relative tumor volume of mice with different treatment groups. (D) The change in body weight of mice with different treatment groups. (E) Plot of tumor weight of mice with different treatment groups at day 14. (F) Photographs of tumors collected from mice with different treatment groups at day 14. (G) H&E staining of tumor sections collected from different treatment groups, scale bar 50 μm. For panels C, D, E, F, and G, the treatment groups were (a) PBS, (b) FTY720, (c) FTY720@AM/TL NPs, (d) FTY720@AM/T7-TL NPs, (e) FTY720@AM/TL NPs + Laser, and (f) FTY720@AM/T7-TL NPs + Laser. The NIR-treatment groups, (e) FTY720@AM/TL NPs + Laser and (f) FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm).

PMC9278082

gr8.jpg

0.47238

763b0b979f194801be775ca247c9d652

Long-term toxicity of the prepared NPs. (A) H&E staining of major organs after 14 days' treatment, scale bar 50 μm. (B) Blood biochemical analysis of the mice with different treatment groups on the 14th day. The treatment groups were (a) PBS, (b) FTY720, (c) FTY720@AM/TL NPs, (d) FTY720@AM/T7-TL NPs, (e) FTY720@AM/TL NPs + Laser, and (f) FTY720@AM/T7-TL NPs + Laser. The NIR-treatment groups, (e) FTY720@AM/TL NPs + Laser and (f) FTY720@AM/T7-TL NPs + Laser, were subjected to a laser treatment for 10 min (1 W/cm2, 808 nm).

PMC9278082

gr9.jpg

0.500438

ee7989fec6104d3eb3283eec7ecedcf3

Schematic illustration of therapeutic mechanism of FTY720@AM/T7-TL NPs nanoplatform: dual stimuli-responsive drug release, fluorescence/MRI-modal imaging, in situ oxygen supplement, and enhanced synergistic PDT/PTT/chemotherapy.

PMC9278082

sc1.jpg

0.376297

0ecaad934b80438b8e1de454eabe6bbb

(a) Retinal segmentation at optical coherence tomography (OCT) angiography. (b) The superficial retinal vessel density. (c) The superficial retinal perfusion density. (d) The colored lines in horizontal OCT B-scans show segmentation lines that define the different depth in the retinal tissue of the superficial capillary plexus. (e) Graphic representation of retinal area evaluated at OCT angiography. The software selected the 3 × 3 mm image with 2 rings of 3.0 and 1.0 mm diameter centered on the fovea. The vessel density was calculated for the whole 3 mm circle area centered on the fovea (whole image) (1E), for the area inside the central 1 mm circle (foveal sector) (2E), for the area between the outer 3 mm circle and the inner 1 mm circle (parafoveal sector) (3E).

PMC9279070

BMRI2022-1229009.001.jpg

0.507221

0d3478a3a6c54991b10fac050c093a55

Vessel length density of the superficial plexus in different sectors. Solid lines represent the patients with interocular difference ≤ 1.5 D in SER. Dotted lines represent the patients with interocular difference > 1.5 D in SER.

PMC9279070

BMRI2022-1229009.002.jpg

0.455983

6adbb14433904cf698a4f7d658f3f2a6

Study design and flow chart of participants

PMC9279211

394_2022_2815_Fig1_HTML.jpg

0.446884

60b2c46cb9f44e0f9934c682779ec0f8

Associations between quintiles of the AHEI-2010 diet score and the asthma symptom score, stratified according to smoking status, body mass index (BMI) and ever asthma. Models were adjusted for age, energy intake, physical activity, smoking (excepted in models stratified by smoking status), educational level, marital status, and having farmer parents. The first quintile (Q1) serves as reference. Asthma symptom score ranges from 0 to 5

PMC9279211

394_2022_2815_Fig2_HTML.jpg

0.430341

34e2370f488f4958b9626872ca5474de

Associations between tertiles of the AHEI-2010 diet score and uncontrolled asthma, stratified according to smoking status and BMI. Models were adjusted for age, energy intake, physical activity, smoking (excepted in models stratified by smoking status), educational level, marital status and having farmer parents. The first tertile (T1) serves as reference

PMC9279211

394_2022_2815_Fig3_HTML.jpg

0.404209

87d9c99505fe46698b582d23a2545198

Associations between tertiles of the AHEI-2010 diet score and multimorbidity-related medication profiles, stratified according to smoking status. Models were adjusted for age, energy intake, physical activity, educational level, marital status and having farmer parents. The first tertile (T1) serves as reference

PMC9279211

394_2022_2815_Fig4_HTML.jpg

0.35656

411b220f4ab745238f8128a7d26078d2

Patient and MRI sequence selection.

PMC9279296

41598_2022_16066_Fig1_HTML.jpg

0.49889

5d626492b74f44e2a2d9d2e4f6b67b6b

Key pathways involved in Diabetic muscular atrophy.

PMC9279556

fendo-13-917113-g001.jpg

0.401917

2d95912f32f847b585137df77d28a19a

Serial Sagittal Slices Through the Left Hemisphere of Both Cohorts Showing the Overlap of Anatomical Lesion TracingsLesion overlap for the cohort who underwent the naming task (A) and the semantic decision task (B). Percent of lesion overlap within each cohort is indicated by the spectrum color.

PMC9280993

WNL-2022-200569f1.jpg