Results 211 to 220 of about 13,000 (337)

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

open access: yesAIChE Journal, EarlyView.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman   +3 more
wiley   +1 more source

Update of the list of qualified presumption of safety (QPS) recommended microbiological agents intentionally added to food or feed as notified to EFSA 23: Suitability of taxonomic units notified to EFSA until September 2025. [PDF]

open access: yesEFSA J
EFSA Panel on Biological Hazards (BIOHAZ)   +28 more
europepmc   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

open access: yesAdvances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar   +5 more
wiley   +1 more source

Safety and efficacy of a feed additive consisting of a tincture derived from the leaves or aerial parts of <i>Thymus serpyllum</i> L. (wild thyme tincture) for use in all animal species (FEFANA asbl). [PDF]

open access: yesEFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP)   +23 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Safety and efficacy of a feed additive consisting of a tincture derived from the leaves of <i>Salvia officinalis</i> L. (sage tincture) for use in all animal species (FEFANA asbl). [PDF]

open access: yesEFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP)   +23 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary   +1 more
wiley   +1 more source

Safety evaluation of the food enzyme aspergillopepsin I from the genetically modified <i>Trichoderma reesei</i> strain DP-Nzq40. [PDF]

open access: yesEFSA J
EFSA Panel on Food Enzymes (FEZ)   +16 more
europepmc   +1 more source

Seeds of change: The impact of Ethiopia's direct seed marketing approach on smallholders' seed purchases and productivity

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen   +5 more
wiley   +1 more source

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