Data Sheet 1_Concurrent training and intermittent fasting reduce transverse cross-sectional area of cardiomyocytes and body mass in Wistar rats.pdf by Henrique Izaias Marcelo (21810809)

“…</p>Results<p>For the variables body mass, feed consumption, and the anaerobic threshold, the FC group showed a greater decrease in the Lee index [(0.28 ± 0.00) p < 0.05)] in relation to the other groups. …”

Related to Fig 3. by Mohammad Nafees Ansari (22232505)

“…(<b>Q</b>) Tumor growth kinetics recorded a significantly higher growth of BT-474_ZFX^OE (mean ± SEM, <i>n</i> = 5) than BT-474_VECT^OE tumors. …”

Table 1_The impact of diagnosis-related group-based medical insurance payment model on the prognosis and nursing care of patients undergoing composite trabeculectomy: a retrospecti... by Yu Wang (12152)

“…Similarly, when comparing follow-up indicators after more than 6 months post-surgery between the two groups, visual acuity (p > 0.05), intraocular pressure (p > 0.05), and field of view (p > 0.05) were not significantly different from baseline.</p>Conclusion<p>This study represents the first empirical validation demonstrating that the implementation of the Diagnosis-Related Groups (DRG)-based medical insurance reform significantly reduced the mean length of hospital stay for patients undergoing compound trabeculectomy (from 8 days to 5 days). …”

Supplementary Material for: Exploring the ability of novel choroidal biomarkers in predicting treatment outcomes of polypoidal choroidal vasculopathy by Zhang Y. (2828780)

“…Results: A higher CVI at baseline was the only factor that correlated with the poor response after 3-monthly injections of anti-VEGF (P=0.038). The greater change of central macular thickness (CMT) was significantly correlated with increased CMT (P=0.030), decreased CT (P=0.042) and decreased CVI (p=0.038) at baseline. …”

Table 1_Genomic and phenotypic characterization of two novel human-derived Limosilactobacillus reuteri strains with unique probiotic traits.docx by Lijuan Yang (1538233)

“…In co-culture with LS174T cells, both strains decrease the production of Mucin-2, a key component of the gut barrier, with LLR2 showing significantly greater efficacy. …”

Data Sheet 1_Phyllotaxy and environmental factors influences on leaf trait dimensions in Fraxinus mandshurica: a multidimensional approach within temperate forests.docx by Mingyue Jin (257928)

“…</p>Results<p>We found that (1) specific leaf area and leaf nitrogen concentration significantly increase along the phyllotaxy gradient (from phyllotaxy 1 to 6), while leaf dry matter content, leaf thickness, and stomatal density significantly decrease. …”

Table 1_Assessing and projecting the global impacts of Alzheimer’s disease.docx by Nanlong Zhang (20563511)

“…</p>Conclusion<p>From 1990 to 2030, global burden of AD is projected to decrease, with significant gender and regional disparities. …”

Table 1_Associations between physical activity and cardiorespiratory fitness and adverse outcomes in patients with atrial fibrillation: a prospective cohort study.pdf by Yanwen Chen (460790)

“…To further examine the dose–response relationship, restricted cubic spline models were employed to assess potential non-linear associations.</p>Results<p>Increased total physical activity [hazard ratio (HR) = 0.978; 95% confidence interval (CI): 0.961–0.995, P = 0.011], moderate-to-vigorous PA (HR = 0.960; 95% CI: 0.929–0.992, P = 0.014), and moderate physical activity (MPA) (HR = 0.953; 95% CI: 0.918–0.990, P = 0.014) were significantly associated with a decreased risk of major adverse cardiovascular events, respectively. …”

Table 2_Associations between physical activity and cardiorespiratory fitness and adverse outcomes in patients with atrial fibrillation: a prospective cohort study.pdf by Yanwen Chen (460790)

“…To further examine the dose–response relationship, restricted cubic spline models were employed to assess potential non-linear associations.</p>Results<p>Increased total physical activity [hazard ratio (HR) = 0.978; 95% confidence interval (CI): 0.961–0.995, P = 0.011], moderate-to-vigorous PA (HR = 0.960; 95% CI: 0.929–0.992, P = 0.014), and moderate physical activity (MPA) (HR = 0.953; 95% CI: 0.918–0.990, P = 0.014) were significantly associated with a decreased risk of major adverse cardiovascular events, respectively. …”

Table 6_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Image 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Table 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Table 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Image 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Image 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Table 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”