Search Results - (( ((statei OR stati) OR stateu) python code analysis ) OR ( stat python code analysis ))~

Research perspectives on animal health in the era of artificial intelligence.

Authors: Ezanno, Pauline Picault, Sébastien Beaunée, Gaël et al.

Source: Veterinary Research. 3/6/2021, Vol. 52 Issue 1, p1-15. 15p.

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.

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.

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

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.

Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python

Authors: Basilio de Braganca Pereira Calyampudi Radhakrishna Rao Fabio Borges de Oliveira

Resource Type: eBook.

Subjects: Computational learning theory, Statistics--Methodology, Python (Computer program language), Statistics--Data processing, Multivariate analysis--Data processing, Neural networks (Computer science)

Categories: BUSINESS & ECONOMICS / Statistics, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Machine Theory, MATHEMATICS / Probability & Statistics / General

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.

Survival Modelling Using Machine Learning and Immune–Nutritional Profiles in Advanced Gastric Cancer on Home Parenteral Nutrition.

Authors: Matysiak, Konrad Hojdis, Aleksandra Szewczuk, Magdalena

Source: Nutrients. Aug2025, Vol. 17 Issue 15, p2414. 16p.

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.

Inferring leader-follower dynamics in three shark species using acoustic telemetry data.

Authors: Kreuter, Nils Fernández-Gracia, Juan Eguíluz, Víctor M. et al.

Source: Movement Ecology. 8/28/2025, Vol. 13 Issue 1, p1-13. 13p.

Anti-Inflammatory Diet and Probiotic Supplementation as Strategies to Modulate Immune Dysregulation in Autism Spectrum Disorder.

Authors: Naranjo-Galvis, Carlos Andrés Trejos-Gallego, Diana María Correa-Salazar, Cristina et al.

Source: Nutrients. Aug2025, Vol. 17 Issue 16, p2664. 21p.

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

Sweet Taste Adaptation to Sugars, Sucralose, and Their Blends: A Human and Rodent Perspective.

Authors: Okoye, Stephanie I. Kim, Minjae Petty, Sara et al.

Source: Nutrients. Oct2025, Vol. 17 Issue 19, p3075. 16p.

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

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

Think Bayes

Authors: Allen B. Downey

Resource Type: eBook.

Subjects: Python (Computer program language), Bayesian statistical decision theory--Data processing

Categories: MATHEMATICS / Probability & Statistics / Bayesian Analysis, COMPUTERS / Data Science / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software, COMPUTERS / Data Science / Machine Learning

Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions.

Authors: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian et al.

Source: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3589, 19p

Subject Terms: MACHINE learning, CLUSTERING algorithms, COMPUTER science, ALGORITHMS, SOURCE code

Serum Magnesium, Prescribed Magnesium Replacement and Cardiovascular Events in Adults with Type 2 Diabetes: A National Cohort Study in U.S. Veterans.

Authors: Yin, Ying Cheng, Yan Zullo, Andrew R. et al.

Source: Nutrients. Jul2025, Vol. 18 Issue 13, p2067. 21p.

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.

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Authors: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

Source: Bioinformatics; Sep2025, Vol. 41 Issue 9, p1-9, 9p

Subject Terms: CANCER research, GENOTYPE-environment interaction, DIAGNOSTIC imaging, DEEP learning, EMPIRICAL research, COMPUTER simulation