Python implementation of a wildfire propagation example using m:n-CAk over Z and R. حسب Pau Fonseca i Casas (9507338)

"…</p><p dir="ltr"><br></p><p dir="ltr">## Files in the Project</p><p dir="ltr"><br></p><p dir="ltr">### Python Scripts</p><p dir="ltr">- **Wildfire_on_m_n-CAk.py**: This file contains the main code for the fire cellular automaton. …"

An example of how segmentation corrects tracking during execution. حسب Khelina Fedorchuk (19130089)

Segmentation module training details. حسب Khelina Fedorchuk (19130089)

6. Motif Code Theory حسب William Terry (22279591)

"…<p dir="ltr">The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). …"

Procedure for aligning the NeuroRat head model underlying the FEM simulations with the BBP circuit model. حسب Joseph James Tharayil (21416715)

Data features examined for potential biases. حسب Harry Hochheiser (3413396)

"…Teams were invited to develop hypotheses, to use tools of their choosing to identify potential sources of bias, and to provide a final report.…"

Analysis topics. حسب Harry Hochheiser (3413396)

"…Teams were invited to develop hypotheses, to use tools of their choosing to identify potential sources of bias, and to provide a final report.…"

Differences in compartment weights explain differences between EEG and ECoG. حسب Joseph James Tharayil (21416715)

Simplified calculation methods produce inaccurate signals. حسب Joseph James Tharayil (21416715)

BlueRecording simulates whisker-flick EEG. حسب Joseph James Tharayil (21416715)

BlueRecording simulates hippocampal LFP. حسب Joseph James Tharayil (21416715)

MMRT Main test screen. حسب Pedro C. Martínez-Suárez (21192459)

Memory monitoring recognition test workflow. حسب Pedro C. Martínez-Suárez (21192459)

"…Developed with open-source technology and an interface adaptable to various platforms, the MMRT represents an accessible and efficient tool for psychological evaluation, with innovative potential in the study of reality monitoring.…"

Voice recognition workflow. حسب Pedro C. Martínez-Suárez (21192459)

"…Developed with open-source technology and an interface adaptable to various platforms, the MMRT represents an accessible and efficient tool for psychological evaluation, with innovative potential in the study of reality monitoring.…"

Memory monitoring recognition test main screen. حسب Pedro C. Martínez-Suárez (21192459)

"…Developed with open-source technology and an interface adaptable to various platforms, the MMRT represents an accessible and efficient tool for psychological evaluation, with innovative potential in the study of reality monitoring.…"

Task descriptions. حسب Pedro C. Martínez-Suárez (21192459)

"…Developed with open-source technology and an interface adaptable to various platforms, the MMRT represents an accessible and efficient tool for psychological evaluation, with innovative potential in the study of reality monitoring.…"

CompuCrawl: Full database and code حسب Richard Haans (6324669)

"…<p><br></p><p dir="ltr">This folder contains the full set of code and data for the CompuCrawl database. The database contains the archived websites of publicly traded North American firms listed in the Compustat database between 1996 and 2020—representing 11,277 firms with 86,303 firm/year observations and 1,617,675 webpages in the final cleaned and selected set.…"

Catalogue of compact radio sources in Messier-82 from e-MERLIN observations حسب Sibongumusa Shungube (21197363)

"…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …"

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... حسب Hector Torres (11708207)

"…<p><b>(a)</b> UMAP, t-SNE, PCA, and Diffmap were first generated using the Python libraries Scikit-learn, UMAP, and PyDiffmap within Jupyter to generate static graphs as a starting point. …"

PTPC-UHT bounce حسب David Parry (22169299)

"…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …"