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.…”

Table10_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. …”

Table1_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. …”

Table4_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. …”

Image2_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. …”

Table 1_Genetic susceptibility to gestational diabetes and its mild modification by bisphenol A and thyroid-stimulating hormone: findings from a South Chinese pregnancy cohort.docx by Yanyan Mao (1998469)

“…The modification displayed a quasi-U-shaped distribution in relation to BPA and decreased as TSH levels increased.</p>…”

Presentation 1_Genetic susceptibility to gestational diabetes and its mild modification by bisphenol A and thyroid-stimulating hormone: findings from a South Chinese pregnancy coho... by Yanyan Mao (1998469)

“…The modification displayed a quasi-U-shaped distribution in relation to BPA and decreased as TSH levels increased.</p>…”

Image 1_Genetic susceptibility to gestational diabetes and its mild modification by bisphenol A and thyroid-stimulating hormone: findings from a South Chinese pregnancy cohort.pdf by Yanyan Mao (1998469)

“…The modification displayed a quasi-U-shaped distribution in relation to BPA and decreased as TSH levels increased.</p>…”

Data Sheet 1_Effect of Medicaid accountable care on preventable emergency department and hospital admissions: rural-urban heterogeneity.pdf by Jangho Yoon (13258614)

“…</p>Results<p>The CCO model was associated with reductions of 25 all-cause ED visits and 22 preventable ED visits per 1,000 persons per month during the first three years. Significant decreases in all-cause and preventable ED visits were observed across different levels of rurality. …”

Extraction time and mustard concentration for extraction of aquatic oligochaetes by using wet funnel by Satoshi Kaneda (571209)

“…Extraction efficiency was analyzed using generalized linear models with a quasibinomial error structure and a logit link-function for Exp. …”

Table 1_The effect of self-compassion versus mindfulness interventions on autonomic responses to stress in generalized anxiety disorders.docx by Xuejun Qi (3842173)

“…We also demonstrated a significant correlation between decreased heart rate response and less negative emotions.…”

Region-scale decline in streamflow across New South Wales catchments by Danlu Guo (12549226)

“…Nearly all (104) catchments have decreasing trends in annual flow, with 32 of these being statistically significant, indicating an overall drying pattern. …”

Data Sheet 1_The impact of sublethal antimicrobial blue light on lipidomic changes of Escherichia coli and Salmonella Typhimurium.pdf by Jiaxin Wu (540397)

“…This study investigated aBL-triggered lipidomic changes in two major foodborne pathogens (Escherichia coli and Salmonella Typhimurium). We identified more than 70 lipid species across 6 classes, with over 50% showing significant variations in profile, intensity, and degree of unsaturation following aBL exposure. …”

Data Sheet 3_The impact of sublethal antimicrobial blue light on lipidomic changes of Escherichia coli and Salmonella Typhimurium.csv by Jiaxin Wu (540397)

“…This study investigated aBL-triggered lipidomic changes in two major foodborne pathogens (Escherichia coli and Salmonella Typhimurium). We identified more than 70 lipid species across 6 classes, with over 50% showing significant variations in profile, intensity, and degree of unsaturation following aBL exposure. …”