Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

Logistic regression for RSV results predictors. by Reem Eid (20889732)

GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

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GLM models for predictors of monthly HTN care costs. by Drew B. Cameron (10687420)

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Median cost (USD) per visit breakdown. by Drew B. Cameron (10687420)

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Descriptive statistics (means) for full sample and by lockdown status. by Drew B. Cameron (10687420)

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Study sites and number of participants enrolled in the KAP and OOP surveys. by Drew B. Cameron (10687420)

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Average cost per visit for HIV and HTN care (absolute vs. relative contributions). by Drew B. Cameron (10687420)

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Median monthly care costs, projected visits, and hospitalization costs. by Drew B. Cameron (10687420)

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Baseline characteristics. by A. H. Ayesha Lavell (16734002)

“…In addition to the longitudinal analysis, mental health symptoms were assessed in relation to possible predictors, e.g. patient care roles or prior SARS-CoV-2 infection. …”

De-identified participant survey data. by A. H. Ayesha Lavell (16734002)

“…In addition to the longitudinal analysis, mental health symptoms were assessed in relation to possible predictors, e.g. patient care roles or prior SARS-CoV-2 infection. …”

Data Sheet 1_Clinical predictors and concomitant antiseizure medications effects on seizure control in relation to plasma cenobamate concentration: a multicenter retrospective stud... by Francesca Felicia Operto (12509263)

“…Its non-linear pharmacokinetics and strong modulation of cytochrome P450 enzymes may significantly affect the metabolism of co-administered ASMs, posing important challenges for polytherapy management. …”

Image 2_The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients.tif by Kai Liu (159026)

Image 3_The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients.tif by Kai Liu (159026)

Image 1_The clinical features and outcomes of diabetes patients infected with COVID-19: a systematic review and meta-analysis comprising 192,693 patients.tif by Kai Liu (159026)

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

“…The model used the fully imputed time series of NO₂, SO₂, CO, PM₁₀, and EC as predictor variables. It implicitly learns seasonal patterns from predictor seasonality and was trained using only time periods with measured PM₂.₅ (PM2.5_Source = 1). …”

Data Sheet 1_Public perception of COVID-19 in Saudi Arabia during the Omicron wave: recommendations for policy improvement.pdf by Mohammed J. Almalki (11808158)

“…Multivariate logistic regression analysis indicated that anxiety about COVID-19 (AOR = 1.23, 95% CI: 1.15–1.32) and education level (AOR = 1.58, 95% CI: 1.11–2.25) were significant predictors of respondents’ expectations of increases or decreases in COVID-19 cases (p < 0.05). …”

Table 1_Litter quality outweighs climate in driving grassland root decomposition.docx by Jingjing Yang (119262)

“…Random forest analysis identified the ratio of acid-unhydrolyzable residue to nitrogen (AUR:N) and AUR as the most important predictors of mass loss, both of which were significantly and negatively correlated with mass loss. …”

Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”