Search Results - (( (statement OR stat) python code analysis ) OR ( (statee OR skratene) python code analysis ))

Code Redteaming: Probing Ethical Sensitivity of LLMs Through Natural Language Embedded in Code.

Authors: Park, Chanjun Yoon, Jeongho Lim, Heuiseok

Source: Mathematics (2227-7390). Jan2026, Vol. 14 Issue 1, p189. 18p.

Subject Terms: *LANGUAGE models, *ETHICS, *NATURAL language processing, *RISK assessment, *MORAL attitudes

GraphPyRec: A novel graph-based approach for fine-grained Python code recommendation.

Authors: Zong, Xing Zheng, Shang Zou, Haitao et al.

Source: Science of Computer Programming. Dec2024, Vol. 238, pN.PAG-N.PAG. 1p.

Subject Terms: *GRAPH neural networks, *ARTIFICIAL intelligence, *LANGUAGE models, *SOFTWARE engineering, *FLOW control (Data transmission systems), *PYTHON programming language

Comprehensive Review of Nonstationary Seasonal Timeseries Models through Python Simulations

Authors: Venkata Krishna Rao Maddela

Relation: https://zenodo.org/records/15826357; oai:zenodo.org:15826357; https://doi.org/10.5281/zenodo.15826357

Availability: https://doi.org/10.5281/zenodo.15826357
https://zenodo.org/records/15826357

Detecting GPS Anomalies in Aviation Using ADS-B: SQL and Python Scripts for OpenSky Trino Database Analysis

Authors: Pik, Eugene

Relation: https://github.com/eugenepik/Opensky_ADS-B_GPS_anomalies/tree/v1.1; https://zenodo.org/records/11279425; oai:zenodo.org:11279425; https://doi.org/10.5281/zenodo.11279425

Availability: https://doi.org/10.5281/zenodo.11279425
https://zenodo.org/records/11279425

Economic Impact of Abortions in Dairy Cow Herds.

Authors: Palma, Osvaldo Plà-Aragonès, Lluís M. Mac Cawley, Alejandro et al.

Source: Veterinary Sciences; Jul2025, Vol. 12 Issue 7, p645, 14p

Subject Terms: ECONOMIC impact, ABORTION, MARKOV processes, PROFITABILITY, MILK yield, DAIRY cattle, ANIMAL health

On variance estimation of the inverse probability-of-treatment weighting estimator: A tutorial for different types of propensity score weights.

Authors: Kostouraki A Hajage D Rachet B et al.

Source: Statistics in medicine [Stat Med] 2024 Jun 15; Vol. 43 (13), pp. 2672-2694. Date of Electronic Publication: 2024 Apr 15.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE

MeSH Terms: Propensity Score*, Humans ; Observational Studies as Topic ; Computer Simulation ; Probability ; Randomized Controlled Trials as Topic ; Models, Statistical ; Lung Neoplasms

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

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; In Process

A comparison of machine learning algorithms for survival with missing data ; Une comparaison des algorithmes d'apprentissage pour la survie avec données manquantes

Authors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Contributors: Dufossé, Paul Benzekry, Sébastien Aix Marseille Université (AMU) et al.

Source: 54es Journées de Statistique de la SFdS
JDS 2023 - 54e Journées de Statistique de la SFds
https://hal.science/hal-04384220
JDS 2023 - 54e Journées de Statistique de la SFds, SFdS, Jul 2023, Bruxelles (BEL), Belgique. ⟨10.48550/arXiv.2303.13590⟩

Subject Terms: Machine Learning (cs.LG), Machine Learning (stat.ML), Machine learning, neural networks, survival data, simulated data, missing data, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.AP]Statistics [stat]/Applications [stat.AP]

Subject Geographic: Bruxelles (BEL), Belgium

Availability: https://hal.science/hal-04384220
https://hal.science/hal-04384220v1/document
https://hal.science/hal-04384220v1/file/preprint_arxiv.pdf
https://doi.org/10.48550/arXiv.2303.13590

Economic and Veterinary Evaluation of Pet Insurance in Türkiye: Potential, Role in Health, and Impact on Practice.

Authors: GENÇGÖNÜL, Betül Zehra¹ betul.zehra@hacettepe.edu.tr

Source: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Jan/Feb2026, Vol. 32 Issue 1, p147-153. 7p.

Subjects: Pet health insurance, Practice of veterinary medicine, Insurance companies, Animal health, Euthanasia of animals, Veterinary medicine

Geographic Terms: Turkey

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Authors: Stewart, Mathew Peters, Carli Ziegler, Michael J. et al.

Source: Frontiers in Mammal Science. 2025, p1-27. 27p.

Sub-grouping Kho-Bwa based on shared core vocabulary

Authors: Lieberherr, Ismael Bodt, Timotheus Adrianus

Source: Himalayan Linguistics. 16(2)

Subject Terms: Historical Linguistics, Lexico-statistics, Tibeto-Burman, Kho-Bwa, Duhumbi, Sartang, Sherdukpen, Bugun, Puroik, Arunachal Pradesh, Python, Cluster Analysis

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/4t27h5fg
https://escholarship.org/content/qt4t27h5fg/qt4t27h5fg.pdf

Eating Disorders in People Who Identify as Gender-Diverse: Associations Between Gender Diversity, Eating Disorder Diagnosis, Minority Stress Experiences and Mental Health Comorbidity.

Authors: Murphy, Rebecca Sharpe, Helen

Source: Nutrients. Feb2026, Vol. 18 Issue 3, p458. 24p.

Portable Electronic Olfactometer for Non-Invasive Screening of Canine Ehrlichiosis: A Proof-of-Concept Study Using Machine Learning.

Authors: Durán Cotrina, Silvana Valentina Acevedo, Cristhian Manuel Durán Carrillo Gómez, Jeniffer Katerine

Source: Veterinary Sciences. Jan2026, Vol. 13 Issue 1, p88. 20p.

Varietal Differences in Kidney Beans Modulate Gut Microbiota and Inflammation During High-Fat Diet-Induced Obesity in Male Mice.

Authors: Rodrigue, Alexane F. Pereira, Bruna B. Freije, Giorgio et al.

Source: Nutrients. Feb2026, Vol. 18 Issue 3, p461. 34p.

Zinc as a Biomarker of Nutritional Status and Clinical Burden in Recessive Dystrophic Epidermolysis Bullosa: Implications for Preventive Monitoring.

Authors: Quintana-Castanedo, Lucía Maseda, Rocío Sánchez-Ramón, Silvia et al.

Source: Nutrients. Jan2026, Vol. 18 Issue 2, p232. 19p.

Pastas: Open Source Software for the Analysis of Groundwater Time Series.

Authors: Collenteur, Raoul A. Bakker, Mark Caljé, Ruben et al.

Source: Ground Water. Nov/Dec2019, Vol. 57 Issue 6, p877-885. 9p. 2 Black and White Photographs, 8 Graphs, 1 Map.

Subject Terms: *OPEN source software, *PREDICATE calculus, *PASTA, *GAMMA functions, *TIME series analysis

Strong correlation of gene counts and differentially expressed genes between a 3′ RNA-Seq and an RNA hybridization platform in transcriptome analyses from canine archival tissues.

Authors: Haake, Alexander F. H. Loriani Fard, Alina K. Jovanovic, Vladimir M. et al.

Source: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.

Authors: Tan, Lizhi Cai, Xinyu Kong, Yuan et al.

Source: Journal of Animal Science & Biotechnology. 8/11/2025, Vol. 16 Issue 1, p1-21. 21p.

Data-Driven Early Warning Approach for Antimicrobial Resistance Prediction–Anomaly Detection Based on High-Level Indicators.

Authors: Csorba, Szilveszter Vribék, Krisztián Farkas, Máté et al.

Source: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p935. 17p.

Enhanced cattle identification using Siamese network and MobileViT with EMA attention.

Authors: Han, Mingshuo Li, Baoshan Li, Qi et al.

Source: Frontiers in Veterinary Science. 2026, p1-15. 15p.