Results 141 to 150 of about 616,302 (291)
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Data from routine meat inspection is a poor indicator of the prevalence of tail lesions in undocked pigs. [PDF]
Kongsted H, Foldager L, Sørensen JT.
europepmc +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
A Retrospective Study after 10 Years (2010-2019) of Meat Inspection Activity in a Domestic Swine Abattoir in Tuscany: The Slaughterhouse as an Epidemiological Observatory. [PDF]
Guardone L +6 more
europepmc +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Porcine Cysticercosis Control in Western Kenya: The Interlink of Management Practices in Pig Farms and Meat Inspection Practice at Slaughter Slabs. [PDF]
Mwabonimana MF +4 more
europepmc +1 more source
Structural Change in the Meat and Poultry Industry and the Pathogen Reduction Hazard Analysis Critical Control Point Rule [PDF]
This paper uses plant-level micro-data covering the 1987-2002 and a translog cost function to estimate long-run costs in the meat and poultry industry in order to evaluate the impact of the Pathogen Reduction Hazard Analysis Critical Control Point Rule ...
Ollinger, Michael
core
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Humane Handling of Livestock [2014]
"This booklet was designed to be a guide reviewing regulatory requirements for humane handling of livestock. The Federal Meat Inspection Act, Poultry Products Inspection Act and the Humane Methods of Slaughter Act provide the foundation in the way that ...
core
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source

