Correlation Matrix. by Muhummad Khairul Islam (21955544)

“…., coal and gas, on environmental sustainability by utilizing CO2 emissions as a proxy to emphasize Environmental, Social, and Governance (ESG) practices in the electricity supply company of Malaysia. To do so, we collect time series data from Tenaga Nasional Berhad (TNB) Sustainability Reports spanning 2016–2021. …”

Multicollinearity Test. by Muhummad Khairul Islam (21955544)

“…., coal and gas, on environmental sustainability by utilizing CO2 emissions as a proxy to emphasize Environmental, Social, and Governance (ESG) practices in the electricity supply company of Malaysia. To do so, we collect time series data from Tenaga Nasional Berhad (TNB) Sustainability Reports spanning 2016–2021. …”

Descriptive Statistics. by Muhummad Khairul Islam (21955544)

“…., coal and gas, on environmental sustainability by utilizing CO2 emissions as a proxy to emphasize Environmental, Social, and Governance (ESG) practices in the electricity supply company of Malaysia. To do so, we collect time series data from Tenaga Nasional Berhad (TNB) Sustainability Reports spanning 2016–2021. …”

Characteristics of water footprint by sector at the regional level in China. by Jianqin Ma (20328414)

Demographic information. by Silas Manning (22693338)

“…<div><p>Disorders of decreased sound tolerance such as misophonia and hyperacusis cause significant distress through strong negative emotional and physiological reactions to everyday sounds. …”

Characteristics of JIA patients. by Yasmine Makhlouf (17409866)

“…Following biologic therapy, growth delay decreased to 8% and impaired growth to 36.8%. Patients with systemic JIA showed lower changes in growth parameters compared to others, and no significant differences were observed between different biologic drugs. …”

List of excluded articles. by Yasmine Makhlouf (17409866)

“…Following biologic therapy, growth delay decreased to 8% and impaired growth to 36.8%. Patients with systemic JIA showed lower changes in growth parameters compared to others, and no significant differences were observed between different biologic drugs. …”

S1 File - by Michael Gulledge (20577135)

“…Withdrawal was associated with significant alterations in the slope of the aperiodic 1/f component of the EEG power spectrum, an established biomarker of arousal level. …”

SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Screening process diagram. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

SHAP waterfall plot. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

SHAP decision plot. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

LASSO regression visualization plot. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Overall analysis of randomized controlled trials. by Solima Sabeel (9545738)

“…Notably, atorvastatin demonstrated the most significant reduction in IL-6 and TNF-α levels, while fluvastatin and rosuvastatin displayed the greatest impact on decreasing CRP and LDL-C levels, respectively. …”

SHAP dependence plots. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Tertile stratified subgroup analysis. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Newcastle-Ottawa scale. by Solima Sabeel (9545738)

“…Notably, atorvastatin demonstrated the most significant reduction in IL-6 and TNF-α levels, while fluvastatin and rosuvastatin displayed the greatest impact on decreasing CRP and LDL-C levels, respectively. …”

S1 File - by Ingmar Lundquist (46422)

“…Additionally, the significance of extracellular NO on GSIS was studied. …”

Trends in spatial beta diversity over time. by Zoë J. Kitchel (21688386)

“…A lack of significant trend is shown in blue. The average linear trend across surveys (black line with 95% confidence interval in gray) is also plotted from a linear mixed effect model with a random slope and intercept for survey. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”