Search Results - (( (statu OR stat) python code analysis ) OR ( (stavebni OR stateee) python code analysis ))

Quantification of racial and ethnic disparities in alcohol-related problems in light of different methodological approaches.

Authors: Ye Y Lui CK Martinez P et al.

Source: Addiction (Abingdon, England) [Addiction] 2025 May; Vol. 120 (5), pp. 873-883. Date of Electronic Publication: 2025 Jan 12.

Publication Type: Journal Article

Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 9304118 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1360-0443 (Electronic) Linking ISSN: 09652140 NLM ISO Abbreviation: Addiction Subsets: MEDLINE

MeSH Terms: Alcohol Drinking*/ethnology , Alcohol Drinking*/epidemiology , Alcohol-Related Disorders*/ethnology , Alcohol-Related Disorders*/epidemiology , Alcoholism*/ethnology , Alcoholism*/epidemiology , Ethnicity*/statistics & numerical data , Health Status Disparities*, Black or African American/statistics & numerical data ; Hispanic or Latino/statistics & numerical data ; United States/epidemiology ; White/statistics & numerical data ; Adolescent ; Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Cross-Sectional Studies

A tidal disruption event from an intermediate-mass black hole revealed by comprehensive multi-wavelength observations.

Authors: Wang J Huang M Xue Y et al.

Source: Nature communications [Nat Commun] 2026 Jan 24; Vol. 17 (1). Date of Electronic Publication: 2026 Jan 24.

Publication Type: Journal Article

Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE

Time to antiviral treatment in mild-moderate COVID-19 in the emergency department: influence of prescribing physician and effect on outcomes.

Authors: Rodríguez-Leal CM González Del Castillo J Llorens P et al.

Corporate Authors: Rodríguez-Leal CM González Del Castillo J Llorens P et al.

Source: Internal and emergency medicine [Intern Emerg Med] 2026 Jan; Vol. 21 (1), pp. 219-229. Date of Electronic Publication: 2025 Apr 21.

Publication Type: Journal Article; Multicenter Study

Journal Info: Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE

MeSH Terms: Emergency Service, Hospital*/organization & administration , Emergency Service, Hospital*/statistics & numerical data , Antiviral Agents*/therapeutic use , COVID-19*/epidemiology , COVID-19*/mortality , Time-to-Treatment*/statistics & numerical data , Time-to-Treatment*/standards , Practice Patterns, Physicians'*/statistics & numerical data , COVID-19 Drug Treatment*, Spain/epidemiology ; Hospitalization/statistics & numerical data ; Humans ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Adult ; SARS-CoV-2 ; Time Factors ; Cohort Studies

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

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Authors: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan et al.

Source: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Subject Terms: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features.

Authors: Yao Y Zhang D Fan H et al.

Source: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE

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 statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Authors: Golestani, Ali M. Gee, Julia M.

Source: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Subject Terms: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

CQLLM: A Framework for Generating CodeQL Security Vulnerability Detection Code Based on Large Language Model.

Authors: Wang, Le Chen, Chan Zhu, Junyi et al.

Source: Applied Sciences (2076-3417); Jan2026, Vol. 16 Issue 1, p517, 17p

Subject Terms: COMPUTER security vulnerabilities, LANGUAGE models, COMPUTER software correctness, SOFTWARE frameworks, PENETRATION testing (Computer security), CODE generators

Automating fuzz driver generation for deep learning libraries with large language models.

Authors: Zheng, Tianming Meng, Fanchao Yi, Ping et al.

Source: Cybersecurity (2523-3246); 1/4/2026, Vol. 9 Issue 1, p1-21, 21p

Subject Terms: LANGUAGE models, COMPUTER software testing, TEST systems, STATISTICAL reliability, MECHANIZATION

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

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation.

Authors: Chimienti, Marianna Kato, Akiko Seydi, Vahid et al.

Source: Methods in Ecology & Evolution; Feb2026, Vol. 17 Issue 2, p272-290, 19p

Subject Terms: ARTIFICIAL intelligence, COMPUTER vision, ANIMAL tagging, ENVIRONMENTAL sciences, COOPERATION, IMAGE processing, MARINE resources conservation, DATA integration

An Empirical Evaluation of Ensemble Models for Python Code Smell Detection.

Authors: Rao, Rajwant Singh Dewangan, Seema Mishra, Alok

Source: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7472, 27p

Subject Terms: ENSEMBLE learning, FEATURE selection, BOOSTING algorithms, PYTHON programming language, COMPUTER software quality control, DESIGN failures, DATA augmentation

Insights and Analysis of Open-source License Violation Risks in LLMs Generated Code.

Authors: Yibo Wang Ying Wang Yue Yu et al.

Source: International Journal of Software & Informatics; 2025, Vol. 15 Issue 2, p145-173, 29p

Subject Terms: OPEN source software, COPYRIGHT infringement, LANGUAGE models, DATA analytics, CODE generators, INTELLECTUAL property infringement, DETECTION algorithms

Does climate change increase the risk of marine toxins? Insights from changing seawater conditions.

Authors: Meng R Du X Ge K et al.

Source: Archives of toxicology [Arch Toxicol] 2024 Sep; Vol. 98 (9), pp. 2743-2762. Date of Electronic Publication: 2024 May 25.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0417615 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0738 (Electronic) Linking ISSN: 03405761 NLM ISO Abbreviation: Arch Toxicol Subsets: MEDLINE

MeSH Terms: Seawater*/chemistry , Marine Toxins*/analysis , Marine Toxins*/toxicity , Climate Change*, Aquatic Organisms/drug effects ; Humans ; Animals ; Risk Assessment ; Environmental Monitoring

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

JDroid: Android malware detection using hybrid opcode feature vector.

Authors: Arslan, Recep Sinan

Source: PeerJ Computer Science; Jul2025, p1-30, 30p

Subject Terms: MALWARE, MACHINE learning, DATA analytics, INFORMATION technology security, ENSEMBLE learning

Reviews & Products: ANDROID (Operating system)

Testing an Educational Program to Improve Goals of Care Conversations Between Patients and Their Care Teams

Authors: National Cancer Institute (NCI)

Source: A Randomized Controlled Trial of an Intervention Called "Algorithm-Enabled Patients Activated in Cancer Care Through Teams" (A-PACT) to Improve Goals of Care Communication for People With Cancer

Mathematical Model of the Software Development Process with Hybrid Management Elements.

Authors: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11667, 44p

Subject Terms: COMPUTER software development, AGILE software development, TELEMETRY, PREDICTION models, INTERDISCIPLINARY research, EPISTEMIC uncertainty, RISK assessment

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