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

“…<p dir="ltr"># m:n-CAk Wildfire Simulation Project</p><p dir="ltr"><br></p><p dir="ltr">## Overview</p><p dir="ltr">This project simulates the spread of a wildfire using a cellular automaton model based on m:n-CAk. The simulation takes into account various factors such as vegetation type, and humidity levels, to model the propagation of the fire over a landscape. …”

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

An example Python input file for the CA4 binder design. by Jakub Lála (17136205)

Python file of the computational framework. by Benoit Haut (9753029)

Reproducible implementation for article: Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule by Leyla Noroozbabaee (14301173)

PTPC-UHT bounce by 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. …”

Python scripts and notebooks by Ismail Belgacem (20845811)

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

“…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…”

Results obtained from the Bistable Gut Inflammation Detector model. by Fabricio Cravo (21387854)

Subjects:

(a) System dynamics: schematic representation of all the reactions in the Tree model, which are aging, reproduction, color cycle, and competition. by Fabricio Cravo (21387854)

Subjects:

SecurityGuidelinesRetrievalForPythonCodeGen by Catherine Tony (18368913)

“…Using Task-Specific Guidelines for Secure Python Code Generation: Replication Package"</p><p dir="ltr">This replication package contains SecGuide along with the results of each step followed in its creation, the scripts that implement all the prompting approaches and the code generated by the LLMs using these approaches. …”

Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. by satoshi hashimoto(橋本 郷史) (18851272)

“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”

Left schematic of the XOR gate implementation [11]. by Fabricio Cravo (21387854)

Subjects:

Simulated dynamics of the Mutual Annihilation protocol [26]. by Fabricio Cravo (21387854)

Subjects:

Heatmap showing the simulated output of the XOR circuit by Tamsir <i>et al</i>. [11]. by Fabricio Cravo (21387854)

Subjects:

Simulation results for the phage communication circuit from Pathania <i>et al</i>. [5]. by Fabricio Cravo (21387854)

Subjects:

Matching products with reactants for the example meta-reaction where S1 and S2 are distinct meta-species. by Fabricio Cravo (21387854)

Subjects:

Simulation results of the quorum sensing circuit by Omar Din <i>et al</i>. [28]. by Fabricio Cravo (21387854)

Subjects:

City-level GDP estimates for China under alternative pathways from 2020 to 2100-python code by Jinjie Sun (11791715)

“…The dataset is complemented by processing code and raw input data in the "Python_Code" directory to ensure full reproducibility. …”

Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)