Mean Scores of self-care domains among study participants pre and post implementing WhatsApp group instructions. by Riham Saud Alhazmy (19697677)

Mean score of Hba1c among study participants pre and post implementing WhatsApp group instructions. by Riham Saud Alhazmy (19697677)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

“…<p dir="ltr">The custom code in Python programming language used to develop the <b>Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3.…”

Implemented activities. by Henri Claude Moungui (22227043)

“…</p><p>Methods</p><p>We conducted a pilot quasi‑experimental before‑and‑after study comparing three 6‑month phases—pre‑campaign, campaign, and post‑campaign. …”

ARC FPNC pre and post intervention data by Gadise Regassa (20858069)

Pre-facility, facility, and post-facility components of the logic model and specific aspects of the logic model for the implementation framework. by Johnson-Pradeep Ruben (22367283)

Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" by Tian-Ren Jin (18781930)

“…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". …”

Sub study 2 implementation outcomes. by Caoimhe Hannigan (7936598)

Subjects:

Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions by Zahir Barahmand (18008947)

“…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…”

Pre- and post-test vocabulary scores for experimental and control groups. by Tahir Saleem (10046455)

Pre- and post-test writing scores for experimental and control groups. by Tahir Saleem (10046455)

The figure displays intra-individual and group mean data illustrating the effects of three different training types implemented in the warm-up on dynamic balance in highly trained... by Achraf Hammami (17874773)

The figure displays intra-individual and group mean data illustrating the effects of three different training types implemented in the warm-up on self-confidence in highly-trained... by Achraf Hammami (17874773)

2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

“…The output files generated by the code include results from both Python and MATLAB implementations; these output images are provided as validation, demonstrating that both implementations produce matching results.…”

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”

Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains. by Giulio Facchini (9031490)

“…<p dir="ltr"><b><i>* Cahn-Hilliard simulations *</i></b><br>Finite difference code implementing the modified Cahn Hilliard equation with a forward Euler scheme and the possibility to parallelize the solver using the numba python library.…”

The format of the electrode csv file by Joseph James Tharayil (21416715)

“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”

The format of the simulation reports by Joseph James Tharayil (21416715)

“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”

The format of the weights file by Joseph James Tharayil (21416715)

“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”