Dataset and Python/R scripts used in "Effect Of Health Literacy Class on the Exercise Behavior Stage Change: An Attempt of The Self-Determination Theory-Informed Intervention with Japanese University Students." by Issei Ogasawara (22506893)

“…<p dir="ltr">This dataset contains the raw data used in the paper “Effect of Health Literacy Class on Exercise Behaviour Stage Change: Attempting Self-Determination Theory-Informed Intervention among Japanese University Students, doi:(later)” along with the Python and R scripts used for analysis and visualization. …”

Python source code. by Zhaohui Zhu (349376)

Partial Rank Correlation Coefficient (PRCC) sensitivity analysis results, obtained using LHS with 1000 samples and run in Python version 3.11.0. by Tinashe Victor Mupedza (22022124)

DEMENTIA CARE APP AI POWERED SUPPORT AND EARLY DETECTION by Govarthanan P (21508064)

Poster: Evaluating the Programming for Physical Sciences website and forums on SM123 Physics and Space by Andy Diament (17201125)

“…</i></a></p><p dir="ltr">In this project, we will evaluate the effectiveness of two support interventions.</p><p dir="ltr">One strand will evaluate the use of <a href="https://learn1.open.ac.uk/course/view.php?…”

<b>Effects of Lifestyle and GLP-1RA based Interventions on Waist Circumference: A Systematic Review and Meta-Analysis</b> by Samit Ghosal (22024556)

“…<p dir="ltr">This dataset and code package accompanies the systematic review and meta-analysis:<br><b>“Effects of Lifestyle and GLP-1RA Based Interventions on Waist Circumference: A Systematic Review and Meta-Analysis”</b> (INPLASY202580071).…”

+5 Million Python & Bash Programming Submissions for 5 Courses & Grades for Computer-Based Exams over 3 academic years. by David Azcona (9085694)

“…In total, we collected more than half a million programming submissions (591,707) for 666 students from 5 Python programming courses over 3 academic years.</div>…”

Bursty model and Refractory model simulation results. (A) Bursty model simulation results ( samples). The production of nascent mRNA occurs in bursts and degrade after delay time <... by Ziyan Jin (21021976)

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RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production... by Ziyan Jin (21021976)

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Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

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Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... by Ziyan Jin (21021976)

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Supplementary information files for When randomisation is not good enough: Matching groups in intervention studies by Francesco Sella (8391642)

“…Our results highlighted the advantages of VM over prevalent random assignment procedure in terms of reducing the Type I error rate and providing accurate estimates of the effect of the group on the outcome variable. The VM procedure is valuable in situations whereby the intervention to an individual begins before the recruitment of the entire sample size is completed. …”

Location of the experimental facility in Ait Melloul. by Abdellatif Bekkar (19469239)

Wind rose of the wind speed and direction in Ait Melloul. by Abdellatif Bekkar (19469239)

Study workflow diagram. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

Stunting final dataset. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

A mean SHAP value report. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

A waterfall plot analysis. by Alemu Birara Zemariam (17540938)

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”

Map of cumulative daily root-mean-square errors for each province in China in the test set. by Xiaoyi Wang (90589)

Interplay of H-NS occupancy, EPOD locations, and transcription. by Lydia Freddolino (19251408)