Results 121 to 130 of about 22,598 (211)

Meat Inspection Decisions Regarding Pig Carcasses Affected by Osteomyelitis at the Slaughterhouse: From Etiopathogenesis to Total Condemnation Criteria. [PDF]

Foods
Rodrigues MA, Teiga-Teixeira P, Seixas F, Esteves A.   +3 more
europepmc   +1 more source

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, EarlyView.
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source

Relationship between animal-based on-farm indicators and meat inspection data in pigs. [PDF]

Porcine Health Manag
Witt J, Krieter J, Büttner K, Wilder T, Hasler M, Bussemas R, Witten S, Czycholl I.   +7 more
europepmc   +1 more source

Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition

Cereal Chemistry, EarlyView.
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson, Sarah Hogarth, Andrea K. Stone, Gene C. Arganosa, Pankaj Bhowmik, Tom D. Warkentin, Jordan Ubbens, Michael T. Nickerson   +7 more
wiley   +1 more source

Evaluating zoonotic metacestodes: gross and histopathological alterations of beef in north-west Ethiopia one health approach for meat inspection and animal management. [PDF]

Front Vet Sci
Alene D, Maru M, Demessie Y, Mulaw A.
europepmc   +1 more source

Programming the Optoelectronic Properties of Atomically Precise Gold Nanoclusters Using the Conformational Landscape of Intrinsically Disordered Proteins

Chemistry – A European Journal, EarlyView.
ABSTRACT The rational design of hybrid nanomaterials with precisely controlled properties remains a central challenge in materials science. While atomically precise gold nanoclusters (Au‐NCs) offer molecule‐like control over a metallic core, tuning their optoelectronic behavior via surface engineering is often empirically driven.
Santiago Rodriguez, Sylvain Kumanski, Zeineb Ayed, Aurélie Fournet, Charlène Bouanchaud, Amin Sagar, Frédéric Allemand, Vladimir A. Baulin, Ute Resch‐Genger, Juan Cortés, Nathalie Sibille, Fabien Chirot, Karl David Wegner, Rodolphe Antoine, Xavier Le Guével, Pau Bernadó   +15 more
wiley   +1 more source

Comparison of Alternative Meat Inspection Regimes for Pigs From Non-Controlled Housing - Considering the Cost of Error. [PDF]

Front Vet Sci, 2018
Hansen RK, Nielsen LH, El Tholth M, Haesler B, Foddai A, Alban L.   +5 more
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Selection of Meat Inspection Data for an Animal Welfare Index in Cattle and Pigs in Denmark. [PDF]

Animals (Basel), 2017
Nielsen SS, Denwood MJ, Forkman B, Houe H.   +3 more
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source