Data Sheet 1_Stand structure influences understory plant diversity through soil factors: three afforestation types of Masson’s pine in the upper Yangtze River, China.docx by Yongqi Xiang (12548293)

“…MLMF enhanced shrub diversity by reducing dominant species ratios. In terms of stand structure, MCLMF significantly increased the opening degree (O), mingling index (M), and competition index (CI), while MLMF decreased CI but increased M. …”

Data Sheet 1_CD46 TREM1 regulates the autophagy marker LC3B ATG5 in oral squamous cell carcinoma.docx by Xiaodan Liu (849235)

“…</p>Results<p>In vitro cell experiments showed that CD46 and TREM1 were highly expressed on the surface of OSCC cells, while the expression of LC3B and ATG5 was significantly decreased. Compared with the control group (SC-shRNA), the CD46 shRNA group could effectively reduce the expression of CD46 in OSCC cells and increase the expression of autophagy and apoptosis protein (P<0.01). …”

Supporting Data for "Managing NPO-Funder Relations for Financial Sustainability: Insights from Social Service Nonprofits in China" by Shiqi Peng (11134716)

“…Results found that greater reliance on a dominant funder was significantly associated with lower revenue generation (β = -0.5, p < 0.05), reduced surplus retention (β =-0.7, p < 0.001), and decreased operational efficiency (β = -0.0, p < 0.001). …”

Scatterplot 8. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 5. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 9. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 1. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 6. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 2. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Raw data of this study. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 4. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 3. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Correlation matrix. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 7. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Data Sheet 1_Supplementary far-red light enhances the quality and root development of double-root-cutting grafted watermelon seedlings.docx by Cuinan Wu (650400)

“…These results demonstrate that supplementary FR light significantly promotes rooting and growth of DRC grafted watermelon seedlings. …”

Repetitive stress modulates loudness perception. by Ghattas Bisharat (20706928)

“…There was no significant change in trained intensities 40–45- and 75–80-dB SPL (post hoc, <i>p</i> > 0.05 Bonferroni corrected). …”

Table 1_Elucidating the causal relationship between 486 genetically predicted blood metabolites and the risk of gastric cancer: a comprehensive Mendelian randomization analysis.xls... by Lei Qian (292302)

“…</p>Results<p>The MVMR analysis revealed a significant association between genetically predicted elevated levels of tryptophan (odds ratio [OR] = 0.523, 95% confidence interval [CI] = 0.313–0.872, p = 0.013), nonadecanoate (19:0) (odds ratio [OR] = 0.460, 95% confidence interval [CI] = 0.225–0.943, p = 0.034), and erythritol (odds ratio [OR] = 0.672, 95% confidence interval [CI] = 0.468–0.930, p = 0.016) with a decreased risk of gastric cancer. …”

Data Sheet 1_Genetic variation in RYR1 is associated with heart failure progression and mortality in a diverse patient population.docx by Leonardo A. Guerra (20762270)

“…Based on eQTL data, these SNPs were associated with decreased RYR1 expression in vascular tissue. Two missense variants, in linkage disequilibrium with rs2915950 (rs2915952 and rs2071089) were significantly associated with decreased mortality risk (P = 0.03) and decreased risk of atrial fibrillation/flutter (OR: 0.66, 95% CI: 0.44–0.96; P = 0.03 and OR: 0.67, 95% CI: 0.45–0.98; P = 0.04, respectively). …”

Supplementary file 1_Therapeutic efficacy and safety of Xuebijing in traumatic brain injury: systematic review and meta-analysis.docx by Yihan Sun (3432287)

“…Pooled analysis demonstrated that XBJ significantly improved neurological function, yielding higher Glasgow Coma Scale (GCS) scores (SMD = 0.66, 95% CI 0.51–0.80) and Glasgow Outcome Scale (GOS) scores (SMD = 0.78, 95% CI 0.39–1.16), while reducing all-cause mortality (RR = 0.56, 95% CI 0.44–0.69). …”

Data Sheet 1_The global, regional, and national impact of laryngeal cancer from 1990 to 2021, along with forecasts for 2050: a comprehensive analysis for the Global Burden of Disea... by Tingting Duan (5181482)

“…Background<p>Laryngeal cancer (LC), the second most common head and neck malignancy, with significant global geographical disparities in incidence and mortality, was analyzed using 2021 Global Burden of Disease (GBD) data to assess Socio-Demographic Index (SDI) correlations and project disease burden through 2050, aiming to reduce its global impact.…”