Table2_Short-term organic fertilizer substitution increases sorghum yield by improving soil physicochemical characteristics and regulating microbial community structure.xlsx by Mengen Nie (20143902)

“…After organic fertilizer substitution treatment, higher protein, fat, and total starch levels accumulated in sorghum grains, and the tannin content of grains decreased. The effect of organic fertilizer substitution on bacterial diversity was greater than that on fungal diversity. …”

Table1_Short-term organic fertilizer substitution increases sorghum yield by improving soil physicochemical characteristics and regulating microbial community structure.docx by Mengen Nie (20143902)

“…After organic fertilizer substitution treatment, higher protein, fat, and total starch levels accumulated in sorghum grains, and the tannin content of grains decreased. The effect of organic fertilizer substitution on bacterial diversity was greater than that on fungal diversity. …”

Image 4_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

Image 2_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

Image 3_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

Image 1_Temporal left ventricular ejection fraction variations and outcomes in wide population of cardiovascular patients with and without heart failure.tif by Radosław Szczerba (20837081)

“…In patients with HF, Kaplan–Meier survival curves showed significantly lower MACCE occurrence in HFimpEF and stable LVEF than in decreased LVEF (11.46%/year vs. 12.5%/year vs. 21.6%/year; log-rank p = 0.199 and p < 0.001) and HFimpEF constituted one of independent predictors of MACCE (HR = 0.84, 95% CI: 0.76–0.93). …”

Data Sheet 1_Alternate wetting and drying irrigation at tillering stage enhances the heat tolerance of rice by increasing sucrose and cytokinin content in panicles.docx by Ti Gao (21442307)

“…HDT significantly reduced the yield of all four varieties except for Shanyou 63, primarily by decreasing the spikelet fertility and spikelet number, while AWD significantly improved the two traits under HDT. …”

Data Sheet 1_Genetic knockdown of DYRK1A attenuates cognitive impairment, Aβ pathology, tauopathy and neuroinflammatory responses in mouse models of AD.docx by Hyun-ju Lee (7550741)

“…</p>Results and discussion<p>In WT mice, hippocampal DYRK1A overexpression significantly reduced short-term spatial/recognition memory and SynGAP expression while increasing p-P38 levels. …”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Data Sheet 1_Case Report: Metabolic alterations and cholesterol esterification in a low-grade diffuse astrocytoma patient who progressed to glioblastoma at recurrence.docx by Omkar B. Ijare (22274167)

“…The CE-to-cholesterol ratio of 0.44 in the recurrent tumor suggests significant cholesterol esterification during malignant progression.…”