Results 191 to 200 of about 5,762 (296)

Consumer Demand and Market Response to Added Sugar Labeling: Evidence From the Updated Nutrition Facts Panel

Agribusiness, EarlyView.
ABSTRACT This paper examines how mandatory disclosure of added sugar content on the updated U.S. Nutrition Facts Panel (NFP) affects consumer demand and market outcomes. Using NielsenIQ Retail Scanner Data (2015–2020) and a random coefficient discrete choice model, we estimate how added sugar labeling influences purchasing behavior in yogurt and cookie
Yuxiang Zhang, Yizao Liu
wiley   +1 more source

Safety and efficacy of a feed additive consisting of an essential oil derived from the leaves of <i>Origanum majorana</i> L. (marjoram oil) for use in all animal species (FEFANA asbl). [PDF]

EFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa RE, Azimonti G, Bonos E, Christensen H, Durjava M, Dusemund B, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Röhe I, Theodoridou K, Bastos ML, Benfenati E, Brantom P, Chesson A, Schlatter J, Westendorf J, Manini P.   +23 more
europepmc   +1 more source

Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets

Agribusiness, EarlyView.
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez, Olga Isengildina Massa, Michael Liam Smith, Nicole Olynk Widmar   +3 more
wiley   +1 more source

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

Advances 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, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Safety evaluation of the food enzyme pectinesterase from the non-genetically modified <i>Aspergillus luchuensis</i> strain AP2 903-6. [PDF]

EFSA J
EFSA Panel on Food Enzymes (FEZ), Zorn H, Barat Baviera JM, Bolognesi C, Catania F, Gadermaier G, Greiner R, Mayo B, Mortensen A, Roos YH, Solano MLM, Van Loveren H, Vernis L, Andreoli C, Terron A, Yurkov A, Aguilera J, Andryszkiewicz M, Cavanna D, Criado A, Liu Y.   +20 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

Advanced 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 an essential oil derived from the flowering aerial parts of <i>Salvia rosmarinus</i> Spenn. (rosemary oil) for use in all animal species (FEFANA asbl). [PDF]

EFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa RE, Azimonti G, Bonos E, Christensen H, Durjava M, Dusemund B, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Röhe I, Theodoridou K, Bastos ML, Benfenati E, Brantom P, Chesson A, Schlatter J, Westendorf J, Manini P.   +23 more
europepmc   +1 more source

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

Advanced 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, Nicholas Ballard   +1 more
wiley   +1 more source

Flavouring Group Evaluation 45 (FGE.45): One tertiary amine from chemical group 28

EFSA Journal, 2009
European Food Safety Authority (EFSA)
doaj   +1 more source

Safety and efficacy of feed additives consisting of rosemary tinctures obtained from the leaves of <i>Salvia rosmarinus</i> Spenn. for use in all animal species (FEFANA asbl). [PDF]

EFSA J
EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa RE, Azimonti G, Bonos E, Christensen H, Durjava M, Dusemund B, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Röhe I, Theodoridou K, Bastos ML, Benfenati E, Brantom P, Chesson A, Schlatter J, Westendorf J, Manini P.   +23 more
europepmc   +1 more source