Results of multiple logistic regression analysis to identify potential factors associated with the successful reduction of HPC and F+ coliphage in the POU UVC LED effluent. Single... by Hania Zanib (21864477)

Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of... by Lirika Sola (21560710)

Boxplot mean cfPWV comparisons. by Johannes Nairz (18010746)

Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), i... by Kira Minehart (21029571)

Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

Mean scores and 95% CI of mental health symptoms, COVID-19 admissions and effect size during follow-up. by A. H. Ayesha Lavell (16734002)

Sample means, SDs, and selected correlations. by Erik Lykke Mortensen (7239170)

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. …”

Data cleaning and preparation algorithm. by Ayana Ablayeva (22103708)

“…</p><p>Conclusions</p><p>Liver cancer morbidity and mortality rates have risen in Kazakhstan over the past decade, with a slight decrease during the early COVID-19 pandemic. …”

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

“…Mental health significantly declined in December 2021 compared to November 2020, with mean increases of 1.16 (95% CI 0.73 to 1.58, d = 0.48), 0.79 (95% CI 0.41 to 1.17, d = 0.37) and 1.96 (95% CI 0.95 to 2.97, d = 0.35) on the PHQ-9 (range 0–27), GAD-7 (range 0–21) and PCL-5 (range 0–80), respectively, with similar results in multivariable analysis. …”

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

“…Mental health significantly declined in December 2021 compared to November 2020, with mean increases of 1.16 (95% CI 0.73 to 1.58, d = 0.48), 0.79 (95% CI 0.41 to 1.17, d = 0.37) and 1.96 (95% CI 0.95 to 2.97, d = 0.35) on the PHQ-9 (range 0–27), GAD-7 (range 0–21) and PCL-5 (range 0–80), respectively, with similar results in multivariable analysis. …”

Results of longitudinal analysis of mental health in HCWs. by A. H. Ayesha Lavell (16734002)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

Demographics of the study population. by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”

Table 3 - by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”

The relative importance by dominance analysis. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

Summary results of the samples. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

Description of digital inclusion. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

CSS data for this study. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

n-fold cross-validation and predictor for the δ³⁴S random forest regression model: A) Observed and predicted δ³⁴S isotope values. by Borja González-Rabanal (22138847)