Image 4_Analysis of the global burden and key risk factors of neonatal sepsis and other neonatal infections in 204 countries and territories, 1990–2021.jpeg by Caini Mu (20997938)

“…An analysis of risk factors indicated that DALYs associated with ambient particulate matter pollution increased by 0.7% since 1990, while DALYs from Household air pollution in solid fuels decreased by 1.4%. Although the burden of diseases related to low birth weight and short gestation declined in many countries, an upward trend was observed in the Eastern Mediterranean and Western Pacific regions (DALYs increased from 88,653.41/100,000 in 2018 to 93,752.24/100,000 in the Eastern Mediterranean and from 28,813.84/100,000 in 2017 to 32,280.55/100,000 in the Western Pacific).…”

Image 2_Analysis of the global burden and key risk factors of neonatal sepsis and other neonatal infections in 204 countries and territories, 1990–2021.jpeg by Caini Mu (20997938)

“…An analysis of risk factors indicated that DALYs associated with ambient particulate matter pollution increased by 0.7% since 1990, while DALYs from Household air pollution in solid fuels decreased by 1.4%. Although the burden of diseases related to low birth weight and short gestation declined in many countries, an upward trend was observed in the Eastern Mediterranean and Western Pacific regions (DALYs increased from 88,653.41/100,000 in 2018 to 93,752.24/100,000 in the Eastern Mediterranean and from 28,813.84/100,000 in 2017 to 32,280.55/100,000 in the Western Pacific).…”

Data from: Ruminal planktonic, weakly, and tightly feed-adhered bacterial community as affected by two <em>Trichoderma reesei</em> enzyme preparations fed to lactating cattle by Marjorie Killerby (22471732)

“…Alpha diversity (Observed ASV and Chao1) was higher in XYL compared to CON. However, no TRT effect was observed on beta diversity. …”

Unraveling Microplastic Effects on Gut Microbiota across Various Animals Using Machine Learning by Lingzi Yin (20477620)

“…Our study revealed that mice, compared with other animals, not only exhibit a heightened susceptibility to the toxic effects of microplasticsevidenced by decreased gut microbiota diversity, increased <i>Firmicutes</i>/<i>Bacteroidetes</i> ratios, destabilized microbial networks, and disruption in the equilibrium of beneficial and harmful bacteriabut also possess limited potential to degrade microplastics, unlike earthworms and insects. …”

Data Sheet 8_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 5_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 7_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 3_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 6_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 2_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 10_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 9_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Data Sheet 4_Assessing the disease burden of lower respiratory infections attributable to particulate matter pollution: trends from 1990 to 2021 and projections for 2022-2050.pdf by Erman Wu (19021269)

“…Children under 5 years of age group still accounted for the most PMP-related deaths, with the number decreasing from 851,458 (95% UI: 211,026 to 1,363,810) in 1990 to 201,078 (95% UI:61,817 to 337,232). …”

Identification of Alzheimer’s disease susceptibility genes by the integration of genomics and transcriptomics by Chenghong OuYang (13521682)

“…Through Mendelian randomization (MR) analysis, it was found that the risk of AD was significantly increased when VASP expression increased (OR = 0.1.046), while the risk of AD was significantly decreased when SURF2 (OR = 0.897) and TARBP1(OR = 0.920) expression increased. …”

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

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of 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>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of 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>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of 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>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of 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>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of 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>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”