PARP9 knockdown promotes apoptosis and DNA damage. by Yating Li (1819822)

Image 4_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Image 6_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Image 8_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Image 3_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Image 7_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Image 2_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Image 5_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Image 1_Neutrophil proteins as potential biomarkers for a sputum-based tuberculosis screening test.tif by Mark Chambers (1845670)

Data Sheet 1_Adolescent brain maturation associated with environmental factors: a multivariate analysis.pdf by Bhaskar Ray (18575134)

“…Employing brain age estimation to assess individual brain aging, we categorized individuals (N = 7,435, aged 9–10 years old) from the Adolescent Brain and Cognitive Development (ABCD) cohort into groups exhibiting either accelerated or delayed brain maturation, where the accelerated group also displayed increased cognitive performance compared to their delayed counterparts. A 4-way multi-set canonical correlation analysis integrating three modalities of brain metrics (gray matter density, brain morphological measures, and functional network connectivity) with nine environmental factors unveiled a significant 4-way canonical correlation between linked patterns of neural features, air pollution, area crime, and population density. …”

Table 1_Diverging trends in the global burden of ischemic heart disease attributable to non-optimal temperatures: a historical analysis (1990–2021) and 2050 projections.docx by Zehao Jin (11408687)

“…Moreover, disease risks linked to high non-optimal temperatures are exacerbated with anthropogenic climate change, which necessitates the formulation of targeted occupational health interventions and enhanced healthcare infrastructure, particularly in low-resource settings. …”

Data Sheet 1_Diverging trends in the global burden of ischemic heart disease attributable to non-optimal temperatures: a historical analysis (1990–2021) and 2050 projections.csv by Zehao Jin (11408687)

“…Moreover, disease risks linked to high non-optimal temperatures are exacerbated with anthropogenic climate change, which necessitates the formulation of targeted occupational health interventions and enhanced healthcare infrastructure, particularly in low-resource settings. …”

多杀性巴氏杆菌流行过程中水平基因转移对其毒力与耐药的影响-附录.xlsx by He Jiao (19924953)

“…Upon aggregating A0R64_02365 and its significantly impacted gene set, a consistent gene-level difference emerged. …”

Table 1_Complex evaluation of coagulation, fibrinolysis, and inflammatory cytokines in SARS-CoV-2 infected pregnant women: a prospective, case-control study.docx by Zsuzsa Bagoly (429210)

“…Admission IL-1β, and IL-33 were significantly lower, while IL-18 was significantly higher in cases when COVID-19 became more severe, along with significantly decreased FVIII, FXIII and plasminogen. …”

Data Sheet 1_Radiomics reveals the biological basis for non-small cell lung cancer prognostic stratification by reflecting tumor immune microenvironment heterogeneity.docx by Qing Huang (240196)

“…Immune microenvironment profiling showed significantly reduced immune scores and decreased proportions of naive B cells in high-risk patients, indicating impaired immune activity. …”

Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”