Table 3_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 3_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 6_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 2_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 4_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Table 5_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.docx by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Image 1_Acute effects of exercise snacks on postprandial glucose and insulin metabolism in adults with obesity: a systematic review and meta-analysis.pdf by Yuanbo Chang (22654910)

“…Glucose tAUC and mean glucose showed non-significant downward trends. Mean insulin decreased (SMD = −0.54, 95% CI –0.97 to −0.10), albeit with high heterogeneity (I² = 76%). …”

Figure 1 from Tracking Nongenetic Evolution from Primary to Metastatic ccRCC: TRACERx Renal by Ángel Fernández-Sanromán (20814476)

“…Variables in blue and gray bars display significant (FDR < 0.05) and nonsignificant associations, respectively. …”

Digitized maps of vascular plant species distributions in Denmark in the early 20th century by Ditte Marie Christiansen (12182972)

“…., natural history museums, and make up significant untapped resources for insights into past biodiversity patterns. …”

Table 1_A daily positive work reflection intervention for psychological distress among Chinese nurses: a pilot randomized controlled trial.docx by Li Zhang (8200)

“…</p>Results<p>In addition to significant within group improvements over time for both groups, OLS linear regression with Full Information Likelihood Estimation revealed a statistically significant between group treatment effects across outcome domains, including psychological distress, b = 22.60, p < 0.001, g = 11.34, somatic symptoms, b = 6.79, p < 0.001, g = 6.56, depressive symptoms, b = 8.15, p < 0.001, g = 8.19, and anxiety symptoms, b = 7.69, p < 0.001, g = 8.23.…”

Data_Sheet_1_Analysis of spatial and temporal characteristics and evolution of green total factor productivity in agriculture in the lower Yellow River basin.xlsx by Junru He (20158257)

“…Therefore, this paper will evaluate the development of carbon sink agriculture across 34 cities and municipalities in the lower Yellow River basin from 2008 to 2021 based on the EBM-GML model, and analyze the spatial-temporal evolution of agricultural green total factor productivity (AGTFP) in each region through the application of the Moran index, kernel density estimation, and spatial Markov chain analysis. The results demonstrate that agricultural carbon emissions in the Lower Yellow River Basin gradually decreased throughout the study period. …”

Table 1_Esmolol improves sepsis outcomes through cardiovascular and immune modulation.docx by Da Jing (404219)

“…Statistical analyses included multivariate regression, Kaplan-Meier survival analysis, and Generalized Estimating Equations.</p>Results<p>The Esmolol group demonstrated significantly higher survival rates at both 14 days (80% vs. 41.67%, p < 0.01) and 28 days (75.38% vs. 30.00%, p < 0.01) compared to the control group. …”

Data Sheet 1_Impact of multiple environmental factors on influenza–like illness in Fujian Province, China, 2015–2023: a multicity study.zip by Xiaoyan Yao (8723622)

“…Introduction<p>Influenza-like illness (ILI) represents a significant global public health challenge influenced by environmental factors. …”

Supplementary Material for: The Impact of the Selective Cytopheretic Device on Neutrophil-to-Lymphocyte Ratios and Hematological Parameters in AKI: A Pooled Analysis by figshare admin karger (2628495)

“…NLR reductions in the SCD group were driven by decreases in neutrophils and increases in lymphocytes. …”

Control analyses of behavioral timescales. by Isabel Raposo (21615517)

“…Right: Estimating timescales for different starting points maintains aperiodic temporal structure (<i>p</i> = 0.2106; <i>z</i>-scored relative to shifted distribution). …”

Table 8_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Table 9_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.xlsx by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Table 7_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”

Table 3_Integrated analysis of single-cell and bulk transcriptomics reveals the prognostic value and underlying mechanisms of crotonylation in ovarian cancer.csv by Xiaofeng Li (342614)

“…</p>Conclusion<p>We elucidated the significant impact of crotonylation on the ovarian cancer microenvironment and prognosis. …”