Individual Conditional Expectation (ICE) plot showing the predicted probability of BMI across age, sex and self-awareness. by Probir Kumar Ghosh (6947282)

Data Sheet 1_Sulfur compounds navigate redox processes, leukotriene synthesis, and ω-hydroxylation of leukotriene B4 in neutrophil interaction with the bacteria Salmonella typhimur... by Ekaterina A. Golenkina (11235150)

“…NaSH significantly suppressed the reactive oxygen species (ROS) formation in neutrophils. …”

The dataset for Aerosol emission reductions cause post-2011 rapid warming in the northwestern Pacific. by Nan Yang (22539191)

“…Aerosol-driven ocean warming manifests a five-year lag post-emission reductions, governed by threshold-triggered nonlinear aerosol-cloud interaction where cloud decrease occurs only below critical aerosol thresholds (AOD = 0.2). …”

OMT by Jingmin Ou (19669426)

“…<p dir="ltr">In this study, we performed a series of experiments to investigate the effects of oxymatrine (OMT) on hemangioma cells and its mechanisms. OMT was found to significantly increase the apoptosis rate of endothelial cells (ECs) treated with oxidised low-density lipoprotein (ox-LDL), as measured by caspase-3 activity assay and flow cytometry. qRT-PCR results showed that OMT treatment decreased the expression of miR-199a-5p in ECs.Transfection of miR-199a-5p mimics enhanced the apoptotic effect, whereas miR-199a-5p inhibitors attenuated apoptosis, suggesting that miR-199a-5p has a key regulatory role in EC apoptosis. …”

Data Sheet 1_The application of Bacillus amyloliquefaciens and Arbuscular Mycorrhizal Fungi displays curative effects on Citrus Huanglongbing.docx by Yuning Li (1484902)

3D modelling of the impact of stellar activity on tidally-locked terrestrial exoplanets: atmospheric composition and habitability (dataset) by R Ridgway (9137141)

Data Sheet 1_A taste of one’s own medicine: Bacillus velezensis isolated from adult housefly intestines demonstrates effective fly control.pdf by Ying Li (38224)

Scatterplot 8. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 5. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 9. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 1. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 6. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 2. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Raw data of this study. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 4. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 3. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Correlation matrix. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Scatterplot 7. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Baseline characteristics of the four groups. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”

Flow of included patients through the trial. by Chao Yang (174810)

“…When the HAR was lower than 0.13, mortality within 28 days after ICU admission decreased significantly as the HAR increased. When the HAR was higher than 0.13, the HAR was not a protective factor for mortality within 28 days after ICU admission. …”