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). …”

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. …”

Table6_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. …”

Table11_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. …”

Table8_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. …”

Table5_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. …”

Table10_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. …”

Table4_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. …”

Image2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif 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. …”

Shikonin promotes ferroptosis though NSUN2-mediated m⁵C methylation modification of TFRC in acute myelocytic leukemia by Shuyu Chen (4579207)

“…<p>Shikonin (SHK), extracted from the traditional Chinese herb <i>Lithospermum erythrorhizon</i>, demonstrates a wide range of pharmacological activities. …”

Experiment 3 –trial E. by Ottavia Benedicenti (9100619)

“…<p>Differences DNA and RNA yield from qPCR and RT-qPCR analyses, respectively, for the four different fish pathogenic agents ISAV, SAV3, PRV1 and <i>Y</i>. <i>ruckeri</i> in the seawater bucket experiment. …”

<b>White</b><b>-shouldered starlings </b><b>prefer</b><b> nest boxes with smaller entrance to </b><b>avoid</b><b> nest usurpation</b> by Yuran Liu (19453828)

“…However, due to large areas of land being utilized for aquaculture and livestock farming, the availability of natural tree cavities in the area has significantly decreased. This scarcity of natural nest sites provided ideal experimental conditions for attracting birds using artificial nest boxes (see Liu et al., 2023). …”

Multicomponent physical exercise program among community-dwelling older adults who are users of home care services: a quasi-experimental pilot study by Aida Ruiz-Fernández (22822586)

“…Group-by-time analyses suggested improvements in the MPEP group for the Short Physical Performance Battery (η²ₚ=0.154) and Fried Frailty Scale (η²ₚ=0.164). Frailty decreased on both scales (OR = 0.142 and 0.125). No further significant effects were observed.…”

 'Plan-B':  Impact of changes in the global funding landscape for Hepatitis B clinical and research programmes by marion delphin (13249479)

“…However, responses were consistent across roles and regions. One-third of respondents reported already experiencing significant impact from funding changes, while over two-thirds expressed high concerns about future effects. …”