Search Results - (( (state OR stat) python code analysis ) OR ( (statene OR stateness) python code analysis ))*

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: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

MoveApps: a serverless no-code analysis platform for animal tracking data.

Authors: Kölzsch, Andrea Davidson, Sarah C. Gauggel, Dominik et al.

Source: Movement Ecology. 7/18/2022, Vol. 10 Issue 1, p1-12. 12p.

Hands-on 3: Introduction to developing Python computational pipelines for predictive machine learning modelling of livestock data.

Authors: Tulpan, Dan¹

Source: Journal of Animal Science. 2024 Supplement, Vol. 102, p68-68. 1/4p.

Subjects: Machine learning, Personal computers, Animal science, Data modeling, Python programming language

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.

Integrating multi-modal data fusion approaches for analysis of dairy cattle vocalizations.

Authors: Jobarteh, Bubacarr Mincu-Iorga, Madalina Gavojdian, Dinu et al.

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

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.

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.

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.

ASAS-NANP symposium: mathematical modeling in animal nutrition—Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Authors: Brennan, Jameson R. Menendez, III, Hector M. Ehlert, Krista et al.

Source: Journal of Animal Science. Jan2023, Vol. 101 Issue 1, p1-11. 11p. 4 Diagrams, 3 Graphs.

Feather forensics: tracing the origins of parrots in wildlife trade with stable isotopes and citizen science.

Authors: Hill, K. G. W. Delean, S. Hall, T. et al.

Source: Animal Conservation. Aug2025, Vol. 28 Issue 4, p582-591. 10p.

Subjects: Stable isotopes, Parrots, Wild animal trade, Citizen science, Isotopic analysis

Geographic Terms: Australia

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.

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.

Sex-Specific Dietary Predictors of Blood Glucose Identified Through Decision Tree Modeling in Adults.

Authors: Gautney, Joanna Aguilar, Christina Chan, Julian et al.

Source: Nutrients. Oct2025, Vol. 17 Issue 19, p3119. 12p.

Housing-related companion animal relinquishment across 21 animal shelters in the United States from 2019-2023.

Authors: Applebaum, Jennifer W. Loney, Lauren Horecka, Kevin et al.

Source: Frontiers in Veterinary Science. 2024, p1-12. 12p.

A benchmark for computational analysis of animal behavior, using animal-borne tags.

Authors: Hoffman, Benjamin Cusimano, Maddie Baglione, Vittorio et al.

Source: Movement Ecology. 12/18/2024, Vol. 12 Issue 1, p1-25. 25p.

Comparative virulence study of locally circulating peste des petits ruminants virus (PPRV) strains in indigenous Ethiopian goats.

Authors: Aklilu, Fasil Ashenafi, Hagos Kassa, Tesfu et al.

Source: BMC Veterinary Research. 10/6/2025, Vol. 21 Issue 1, p1-11. 11p.

Subjects: Peste des petits ruminants, Microbial virulence, Symptoms, Goats, Comparative studies, Seroconversion, Communicable disease control

Geographic Terms: Ethiopia

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Authors: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Source: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Subjects: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization