Scatter plot for the significant Mendelian randomization (MR) association (P < 0.05) between mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

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Trends of incident opioid users, L-TOT users, and L-TOT discontinuers between 2009 and 2013. by Qian Cai (112039)

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The yearly numerator, denominator and rate of incident opioid users, L-TOT users and L-TOT discontinuers from 2009 to 2019. by Qian Cai (112039)

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Incidence rate ratios of negative binominal regression models for yearly rates of incident opioid users, L-TOT users and L-TOT discontinuers during 2009–2013 and 2015–2019. by Qian Cai (112039)

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Demographic, comorbidity, concurrent drug, and opioid characteristics, among L-TOT users and L-TOT discontinuers between 2009–2019. by Qian Cai (112039)

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<i>N. parisii</i> infection is not significantly changed in <i>C. elegans</i> sphingolipid biosynthesis mutants. by Hala Tamim El Jarkass (16625309)

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Significant gene set results from EGSEA. by Katherine M. Peterson (19746455)

“…The table consists of columns for Gene Set Name, Rank, P-value, adjusted P-value, the general direction (increased or decreased) of the gene expression, and Sample Day.…”

Normalized significant family changes in abundance. by Karley K. Mahalak (3212670)

“…<p>A) <i>Erysipelotrichaceae</i> significantly increased with CCE treatment; B) <i>Bacteroidales_unclassified</i> significantly decreased with CCE treatment; C) <i>Desulfovibrionaceae</i> significantly decreased with CCE treatment; D) <i>Rikenellaceae</i> significantly decreased with CCE treatment; E) <i>Coriobacteriaceae</i> significantly decreased with CCE treatment; F) <i>Erysipelotrichaceae</i> significantly increased with TRE treatment.…”

Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

“…<b>(B)</b> Volcano plot highlighting the significantly different metabolomic features. The red dots represent the features with significantly increased intensity, and the purple dots represent the features with significantly decreased intensity. …”

IRE1 depletion decreases heterochromatin, DNA, and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

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IRE1 depletion decreases heterochromatin, DNA and H3K9me3 methylation, and UHRF1. by Iratxe Zuazo-Gaztelu (21071939)

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Overexpression of miR-129-5p alleviated depression-like behaviors by increasing ATP content. by Qiaozhen Qin (13159201)

Increases in temperature for the two drill systems at different positions using different drilling procedures and feed rates. The data in bold indicate the position where the highe... by Marsel Ganeyev (21453399)

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All infection data from the study. by Hala Tamim El Jarkass (16625309)

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Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

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Normality test using the Shapiro-Wilk test. by Akinaka Morii (12709672)

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Schematic illustration of the proposed role of XO and NOX4 in the heart of PG-LPS-treated mice. by Akinaka Morii (12709672)

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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. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease. by Emir Matpan (21655811)

“…Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.…”

Data. by Aroon La-up (14095691)

“…This study found a statistically significant decrease in BMD in the group with the lowest U-Cd levels (<2.0 μg/g creatinine, p = 0.001) and in the overall sample (from 0.392 ± 0.079 μg/g creatinine in 2019 to 0.384 ± 0.094 μg/g creatinine in 2022, p = 0.004). …”

Utilization of anticoagulants at eight hospitals from 2019 to 2023. by Wei Luo (80175)

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