Mean Scores (SD) on trust scales and subscales, by age group. by Alex R. Wheeler (21453462)

Levels of perceived causes of child marriage by FGD and KII participants. by Nished Rijal (20896311)

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Perceived influence on child marriage-quotes from FGD and KII participants. by Nished Rijal (20896311)

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Socio-demographic characteristics of women in study sample (means except as noted). by Chelsea Ducille (21540080)

Model diagnostics for child death events. by Xin Zhang (35492)

Overall and domain-specific mean readiness score by survey years, 2014 and 2017. by Rajon Banik (12066099)

Mean readiness score of modern family planning service by facility type in 2014 and 2017. by Rajon Banik (12066099)

SDQ maladaptive behavior means among verbal group. by Michele Kilmer (21637602)

AI KRegression by CHIN-CHENG CHU (20718575)

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)

Study variables. by Amit Timilsina (15203538)

“…The mean tree cover percentage also decreased from 21% in 2011 to 19% in 2016. …”

Descriptive statistics. by Amit Timilsina (15203538)

“…The mean tree cover percentage also decreased from 21% in 2011 to 19% in 2016. …”

High-risk human papillomavirus prevalence stratified by age group and CD4 count category. by Gad Murenzi (6243719)

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Participant and lab results flow. by Gad Murenzi (6243719)

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Logistic regression model (N = 4,284) for variables associated with multi-level hrHPV positivity (Base outcome: Negative). by Gad Murenzi (6243719)

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Baseline socio-demographic and clinical characteristics by multi-level hrHPV (N = 4,880). by Gad Murenzi (6243719)

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Baseline socio-demographic and clinical characteristics by hrHPV positivity (N = 4,880). by Gad Murenzi (6243719)

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Logistic regression model (N = 4,284) for variables associated with hrHPV positivity. by Gad Murenzi (6243719)

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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)