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)

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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Table 1_Increased frequencies of human Th-17 CD4+ T-cells and decreased T-regulatory cells in patients with early and advanced metabolic dysfunction-associated steatotic liver dise... by Elżbieta Supruniuk (16736637)

Table 2_Increased frequencies of human Th-17 CD4+ T-cells and decreased T-regulatory cells in patients with early and advanced metabolic dysfunction-associated steatotic liver dise... by Elżbieta Supruniuk (16736637)

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.…”

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

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Inpatient utilization of anticoagulants from 2019 to 2023. by Wei Luo (80175)

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Indications for warfarin prescription in outpatients and inpatients in 2023. by Wei Luo (80175)

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Outpatient utilization of anticoagulants from 2019 to 2023. by Wei Luo (80175)

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DDC for four anticoagulants from 2019 to 2023. by Wei Luo (80175)

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

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The expenditure on anticoagulants in the period of 2019-2023(million CNY). by Wei Luo (80175)

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Analyze data. by Xinhui Zhang (1624039)

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Mouse spinal cord injury strike parame. by Xinhui Zhang (1624039)

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NeuN expression and neuronal apoptosis in Sham and severely injured groups. by Xinhui Zhang (1624039)

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Constructing the T10 spinal cord injury model. by Xinhui Zhang (1624039)

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Expression of NeuN and CIRBP proteins in Sham and severely injured groups. by Xinhui Zhang (1624039)

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