Chemical structure of a lignan. by Zhaoping Meng (4875040)

“…Under stress conditions, intracellular ROS levels increased, and a significant portion of primary metabolites were used for the biosynthesis of secondary metabolites with higher antioxidant activity. …”

Comparison of SDM during tactile stimulation. by Seo-Hyun Kim (13111122)

“…Specifically, when touching soft plants, the oxy-Hb concentration in females was significantly lower than that in males (<i>p</i> < 0.001). …”

Experiment protocol. by Seo-Hyun Kim (13111122)

“…Specifically, when touching soft plants, the oxy-Hb concentration in females was significantly lower than that in males (<i>p</i> < 0.001). …”

Minimal data set. by Seo-Hyun Kim (13111122)

“…Specifically, when touching soft plants, the oxy-Hb concentration in females was significantly lower than that in males (<i>p</i> < 0.001). …”

Decision-maker informed optimal policy design. by Hongru Du (4640212)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

The sequence for qPCR primers and shRNA. by Xiaoming Liu (47653)

“…Knockdown of <i>Isg20</i> significantly reduced ribosome biogenesis, ameliorated kidney damage, inhibited pro-inflammatory cytokines levels and renal fibrotic changes, and decreased endoplasmic reticulum stress and cell apoptosis. …”

Rank of mutation fitness. by Zhong-yi Lei (22552944)

“…Retrospective validation demonstrated that CoVPF achieved 20.7% higher accuracy compared to previous study. Furthermore, we found that accounting for epistasis was critical, as ignoring epistasis led to a 43% decrease in forecasting accuracy. …”

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Classification of hand grip strength. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Rating scale for functional severity [28]. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Regression model coefficients. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Histogram of the extracted parameters. by Qiuyu Du (20760848)

“…No significant associations were found with long-term outcomes.…”

Tracheostomy data. by Rajesh Kamath (17179960)

“…Data were analyzed using Mann–Whitney U and Chi-square tests; significance at p < 0.05.. The study involved a comparison of the duration of mechanical ventilation, ICU LOS, VAP rates and extubation trials between patients who underwent ET and LT.…”

Flow diagram of patient selection. by Rajesh Kamath (17179960)

“…Data were analyzed using Mann–Whitney U and Chi-square tests; significance at p < 0.05.. The study involved a comparison of the duration of mechanical ventilation, ICU LOS, VAP rates and extubation trials between patients who underwent ET and LT.…”

Stop codon readthrough for tRNA modification gene deletion mutants. by Léo Hardy (22538036)

Key modeling details for CoVPF and controls. by Zhong-yi Lei (22552944)

“…Retrospective validation demonstrated that CoVPF achieved 20.7% higher accuracy compared to previous study. Furthermore, we found that accounting for epistasis was critical, as ignoring epistasis led to a 43% decrease in forecasting accuracy. …”

Flow chart of research object screening. by Wenyao Xie (21567889)

“…Notably, these associations were significant only in non-cancer populations (testosterone: OR=0.97, P < 0.001; estradiol: OR=1.64, P < 0.001), and generally absent in cancer patients except for older cancer patients (≥60 years) where testosterone maintained a significant negative correlation with ALI (OR=0.96, P = 0.020). …”