Search Results - (state OR stated) python code analysis*

Quantitative virus infectivity titration and dose-response analyses using cell-culture based methods and python code-assisted data analysis.

Authors: Kyröläinen HM Mustonen I Enäkoski J et al.

Source: IScience [iScience] 2026 Feb 13; Vol. 29 (3), pp. 115018. Date of Electronic Publication: 2026 Feb 13 (Print Publication: 2026).

Publication Type: Journal Article

Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101724038 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-0042 (Electronic) Linking ISSN: 25890042 NLM ISO Abbreviation: iScience Subsets: PubMed not MEDLINE

A Study of Large Language Models in Detecting Python Code Violations.

Authors: Mohammed Salih, Hekar A. Sarhan, Qusay I.

Source: ARO: The Scientific Journal of Koya University; 2025, Vol. 13 Issue 2, p215-225, 11p

Subject Terms: LANGUAGE models, QUALITY assurance, COMPUTER software quality control, NATURAL language processing

Quantifying cross-language code reuse via function-level clone detection

Authors: Yi Rong Yan Zhou

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Subject Terms: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

Protocol for automated analysis of biological images using Python code.

Authors: Sacks B Mody J Huang Y et al.

Source: STAR protocols [STAR Protoc] 2026 Feb 24; Vol. 7 (1), pp. 104368. Date of Electronic Publication: 2026 Feb 24.

Publication Type: Journal Article

Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101769501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-1667 (Electronic) Linking ISSN: 26661667 NLM ISO Abbreviation: STAR Protoc Subsets: MEDLINE

Empirical Analysis of Python’s Energy Impact: Evidence from Real Measurements.

Authors: Jimenez, Elisa Gordillo, Alberto Calero, Coral et al.

Source: Computer Science & Information Systems; Jun2025, Vol. 22 Issue 3, p693-726, 34p

A Firm's Operational Risk: Data Set and Empirical Evidence.

Authors: Astvansh, Vivek Simpson, Joseph J.

Source: Manufacturing & Service Operations Management (M&SOM) (INFORMS); Jan/Feb2026, Vol. 28 Issue 1, p326-341, 16p

Subject Terms: OPERATIONAL risk, TRANSFORMER models, STAKEHOLDER theory, LEGAL liability, FINANCIAL disclosure, EMPIRICAL research, NUMERICAL analysis

Geographic Terms: UNITED States

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study.

Authors: Bayram, Ali Menekse Dalveren, Gonca Gokce Derawi, Mohammad

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9907, 17p

Subject Terms: ARTIFICIAL intelligence, PYTHON programming language, COMPARATIVE studies, EVALUATION methodology, BENCHMARK problems (Computer science), GENERATIVE pre-trained transformers, MACHINE learning, COMPUTER software development

Building multiscale Markov state models by systematic mapping of temporal communities.

Authors: Nitskansky, Nir Clein, Kessem Raveh, Barak

Source: Bioinformatics; Jan2026, Vol. 42 Issue 1, p1-13, 13p

Subject Terms: MULTISCALE modeling, MACROMOLECULAR dynamics, POTENTIAL energy surfaces, MARKOV processes, ADAPTIVE sampling (Statistics), METASTABLE states, PROTEIN folding

Distinguishing LLM-Generated from Human-Written Code by Contrastive Learning.

Authors: Xu, Xiaodan Ni, Chao Guo, Xinrong et al.

Source: ACM Transactions on Software Engineering & Methodology; May2025, Vol. 34 Issue 4, p1-31, 31p

Subject Terms: CHATGPT, LANGUAGE models, CODE generators, MACHINE learning

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

A Reproducible Python-Based Computational Pipeline for Real-Time Ingestion, Advanced Analysis, and Dynamic Reporting of Public Health Data: A Systems Validation Study.

Authors: Krishnapur PK Cm C B A et al.

Source: Cureus [Cureus] 2026 Feb 05; Vol. 18 (2), pp. e103008. Date of Electronic Publication: 2026 Feb 05 (Print Publication: 2026).

Publication Type: Journal Article

Journal Info: Publisher: Cureus, Inc Country of Publication: United States NLM ID: 101596737 Publication Model: eCollection Cited Medium: Print ISSN: 2168-8184 (Print) Linking ISSN: 21688184 NLM ISO Abbreviation: Cureus Subsets: PubMed not MEDLINE

CHATGPT VS THE REST.

Authors: Rawlinson, Nik

Source: APC (Future Publishing Ltd.); Mar2026, Issue 556, p60-77, 17p, 31 Color Photographs, 3 Charts

Subject Terms: CHATGPT, ARTIFICIAL intelligence, BUSINESS writing, CODE generators

Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations.

Authors: Sherman, Zachary Sharma Dulal, Sandesh Cho, Jin-Hee et al.

Source: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p314, 21p

Subject Terms: GEOSPATIAL data, LANGUAGE models, PYTHON programming language, GENERATIVE artificial intelligence, GEODATABASES, CHATGPT, SMART cities

Company/Entity: OPENAI Inc.

Yusuf Suresinin Anlam İlişkileri ve Hikâye Birleşenlerinin Pyhton Kodlu Matematiksel Görselleştirmelerle Tahlili. (Turkish)

Alternate Title: Analysis of the Meaning Relations and Story Components of Surah Yusuf Via Python Coded Mathematical Visualizations. (English)

Authors: Yücel, Doğan Er, Ülkü Aysel, Metin et al.

Source: International Journal of Social Sciences (IJSS) / Uluslararası Sosyal Bilimler Dergisi; 2025, Vol. 9 Issue 41, p1-42, 42p

Subject Terms: TIME series analysis, THEMATIC maps, GRAPH theory, PYTHON programming language, QUR'ANIC criticism

Automation of Measurements of A Stepper Motor-driven Optical Monochromator Using Python.

Authors: Şeker, Ş. Schwarz, P. Weidner, C. et al.

Source: Physics & Astronomy Reports; Dec2025, Vol. 3 Issue 2, p94-99, 6p

Subject Terms: STEPPING motors, PYTHON programming language, SPECTROMETERS, LASER-induced fluorescence, FINITE state machines, OPEN scholarship, AUTOMATION, GRAPHICAL user interfaces

Effect of Deep Recurrent Architectures on Code Vulnerability Detection: Performance Evaluation for SQL Injection in Python.

Authors: Slotkienė, Asta Poška, Adomas Stefanovič, Pavel et al.

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3436, 19p

Subject Terms: DEEP learning, COMPUTER software security, PYTHON programming language

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Authors: Dunker, Fabian Mendoza, Emil Reale, Marco

Source: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Subject Terms: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Authors: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Index Terms: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2301.05108

Development of a Sustainable Universal Python Code for Accurate 2D Heat Transfer Conduction Simulations in Educational Environment.

Authors: Kok, Chiang Liang Ho, Chee Kit Taufik, Abbas Syihan Bin Muhammad et al.

Source: Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 16, p7159, 31p

Subject Terms: HEAT conduction, HEAT transfer, SIMULATION software, EDUCATIONAL objectives, SCHOOL environment, PYTHON programming language

Numerical analysis of recovery stage with disappearing polymer layer RR-P3HT for the detection of DMMP based on diffusion equations.

Authors: Hejczyk, Tomasz Wrotniak, Jarosław Powroźnik, Paulina et al.

Source: International Journal of Electronics & Telecommunications; 2025, Vol. 71 Issue 4, p1-7, 7p

Subject Terms: NUMERICAL analysis, SURFACE acoustic wave sensors, ELECTRIC conductivity, REACTION-diffusion equations, GAS detectors, POLYMERIC membranes, SURFACE interactions