بدائل البحث:
time implementation » _ implementation (توسيع البحث), policy implementation (توسيع البحث), effective implementation (توسيع البحث)
code presented » model presented (توسيع البحث), side presented (توسيع البحث), order presented (توسيع البحث)
python time » python files (توسيع البحث)
time implementation » _ implementation (توسيع البحث), policy implementation (توسيع البحث), effective implementation (توسيع البحث)
code presented » model presented (توسيع البحث), side presented (توسيع البحث), order presented (توسيع البحث)
python time » python files (توسيع البحث)
-
121
Anisotropic Skyrmion and Multi-<i>q </i>Spin Dynamics in Centrosymmetric Gd<sub>2</sub>PdSi<sub>3</sub>: Data and Code
منشور في 2024"…Python script file<br>*.dat, [no extension] ... ASCII data file. …"
-
122
A Structured Attempt at a Polynomial-Time Solution to the Subset Sum Problem and Its Implications for P vs NP
منشور في 2025"…The manuscript includes theoretical formulation, Python implementation, verified output snapshots, and detailed analysis — aimed at opening fresh discourse on the P vs NP question. …"
-
123
Data and analysis code for manuscript "Preparations for ultra-high dose rate 25-90 MeV electron irradiation experiments with a compact, high-peak-current, X-band linear accelerator...
منشور في 2024"…</p><p dir="ltr">The environment.yml file can create a conda virtual environment named "prep4vhee" with the required Python version and dependencies using the following conda command:</p><pre>conda env create -f environment.yml<br></pre><p dir="ltr">TOPAS input decks are also included in some folders with seeds set to reproduce Monte Carlo simulation results presented in the manuscript. …"
-
124
Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout.
منشور في 2025"…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …"
-
125
Genomic Surveillance of Pemivibart (VYD2311) Escape-Associated Mutations in SARS-CoV-2: December 2025 BioSamples (n=2)
منشور في 2025"…The samples (SRR36268464, SRR36225071) were retrieved from the NCBI Sequence Read Archive (SRA) and represent publicly available, real-world viral specimens collected during the final month of 2025, <b>the most recent temporal window available at the time of analysis.</b></p><p><br></p><p dir="ltr">Processing was performed using the PEMI-ESC v2.0 bioinformatics pipeline (Python-based, open-source methodology), which includes read quality control (fastp), alignment to NC_045512.2 (BWA-MEM), variant calling (iVar, bcftools), Spike protein reconstruction, and codon-resolved interrogation of five canonical escape positions: R346, S371, K444, F456, and F486.…"
-
126
Bayesian Changepoint Detection via Logistic Regression and the Topological Analysis of Image Series
منشور في 2025"…The method also successfully recovers the location and nature of changes in more traditional changepoint tasks. An implementation of our method is available in the Python package bclr.…"
-
127
-
128
-
129
Summary of Tourism Dataset.
منشور في 2025"…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
130
Segment-wise Spending Analysis.
منشور في 2025"…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
131
Hyperparameter Parameter Setting.
منشور في 2025"…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
132
Marketing Campaign Analysis.
منشور في 2025"…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
133
Visitor Segmentation Validation Accuracy.
منشور في 2025"…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
134
Integration of VAE and RNN Architecture.
منشور في 2025"…The model employs robust forecasting of economic impacts, visitor spending patterns, and behavior while accounting for uncertainty through variational inference. The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
135
Methodological Approach Based on Structural Parameters, Vibrational Frequencies, and MMFF94 Bond Charge Increments for Platinum-Based Compounds
منشور في 2025"…The developed bci optimization tool, based on MMFF94, was implemented using a Python code made available at https://github.com/molmodcs/bci_solver. …"
-
136
Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789
منشور في 2025"…<br><br><br><b>ORCID ID: https://orcid.org/0009-0009-0793-8089</b><br></p><p dir="ltr"><b>Code Availability:</b></p><p dir="ltr"><b>All Python tools used for GoP simulations and predictions are available at:</b></p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Probabilistic-Curvature</b><br><br>The Gravity of Probability framework is implemented in this public Python codebase that reproduces all published GoP predictions from preexisting DESI data, using a single fixed set of global parameters. …"
-
137
SRL OF TIM
منشور في 2025"…</li><li><code><strong>plot_scripts/</strong></code>: Includes data files and Python scripts used to generate the visualizations presented in the review (e.g., bar charts, pie charts, distribution graphs).…"
-
138
<b>China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests</b>
منشور في 2025"…As well as, the Google earth engine code for detecting their ages and extents, python code for modelling the carbon accumulation rate of China’s PYF and NYF, python code for evaluating the influence of various factors on the patterns and differences in AGC accumulation rates between NYF and PYF in China.…"
-
139
MEG Dataset and Analysis Scripts for “The Effects of Task Similarity During Representation Learning in Brains and Neural Networks”
منشور في 2025"…</p><h3><b>Contents</b></h3><ul><li><b>MEG data</b> (results of the correlation between empirical and model matrices at different dimensionalities and domains)</li><li><b>Behavioral data</b> (behavioural accuracy performance: "Spatual Source Data")</li><li><b>Analysis script</b></li><li><b>Python package </b>developed to help with retrieving and computing simple operations</li></ul><h3><b>Data format</b></h3><p dir="ltr">Data are organized according to a structured folder layout (see <code>README.md</code> in the repository) and include:</p><ul><li><code>npy</code> MEG files (numpy)</li><li><code>.csv</code> behavioral files</li><li>Python scripts using MNE-Python for statistical analysis and visualization</li></ul><h3><b>Usage</b></h3><p dir="ltr">The provided scripts reproduce the statistical tests and figures presented in the manuscript. …"
-
140
Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event
منشور في 2025"…This repository provides the raw data, the complete imputed daily dataset, imputation statistics, a data dictionary, the Python code used (Imputation_Air_Pollutants_NABEL.py), smoothed time-series plots (28-day running average), and a comparative table of winter pollutant burdens 2016–2019. …"