Search Results - (( ((statene OR stateing) OR stat) python code analysis ) OR ( statement python code analysis ))~

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

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

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

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.

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.

Evaluating Large Language Models in Code Generation: INFINITE Methodology for Defining the Inference Index.

Authors: Christakis, Nicholas Drikakis, Dimitris

Source: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 7, p3784, 24p

Subject Terms: LANGUAGE models, LONG short-term memory, ARTIFICIAL intelligence, GENERATIVE pre-trained transformers, WIND speed

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.

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.

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Authors: Liu, Hongli Clark, Martyn P. Gharari, Shervan et al.

Source: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Subject Terms: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

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.

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.

ASPA 25th Congress Book of Abstract.

Authors: Renna, Manuela (AUTHOR) manuela.renna@unito.it

Source: Italian Journal of Animal Science. 2025 Suppl 1, Vol. 24 Issue 1, p1-463. 463p.

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.

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.

DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks.

Authors: Fernandes, Daniel Matos-Carvalho, João P. Fernandes, Carlos M. et al.

Source: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1428, 24p

Subject Terms: LANGUAGE models, GENERATIVE pre-trained transformers, GENERATING functions, RESEARCH questions, NATURAL languages

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.

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.

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.

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