Relative abundances of dominant phyla in soil bacteria (a) and fungi (b) during restoration. by Chengchen Pan (287383)

(a) 2D CAD model of tool (b) fabricated tool (c) tool pin geometry. by Shaheer Ahmed Khan (17797647)

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Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task. by Brooke H. Nancekivell (19949839)

Comparison of Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), and Related Variables by Vitamin D Status (A) VAI, (B) LAP, (C) TG, (D) WC, (E) BMI, (F) HDL-C. by Hyelim Lee (11286822)

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Study Flowchart. by Jae-Heung Cho (798319)

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Changes in outcomes over time. by Jae-Heung Cho (798319)

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Study timetable. by Jae-Heung Cho (798319)

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Cumulative incidence curves of recovery by group. by Jae-Heung Cho (798319)

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The raw data for Fig 8A. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

Establishment of a diabetic rat model. by Lan Zeng (638254)

“…Accordingly, we measured VEGF gene expression and found that it was significantly increased in the retinas of diabetic rats (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.g003" target="_blank">Fig 3A</a>). …”

Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA.... by Emir Matpan (21655811)

“…Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. …”

Frequency of tobacco smoking among smokers. by Prasanna Herath (20714794)

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Dam and pup body and brain weights. by Adrienne J. Bradley (20861948)

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Increased Iba-1 in mouse pups exposed to Pg-OMV during pregnancy. by Adrienne J. Bradley (20861948)

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Differences in total Tau and p-Tau Thr231 following maternal Pg-OMV exposure. by Adrienne J. Bradley (20861948)

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RT-qPCR evaluation of MYD88, NLRP3, and NFκβ in GA 18.5 pup brains. by Adrienne J. Bradley (20861948)

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Modified intensity and location of cortical layer marker proteins following Pg-OMV exposure <i>in utero.</i> by Adrienne J. Bradley (20861948)

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Cycle threshold values at which a specific number of dogs out of 11 dogs was able to detect SARS-CoV-2 in samples from Merida, Yucatán, México. by Víctor M. Vidal-Martínez (18707335)

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Fig 5 - by Zhezhe Zhang (19704587)

HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”