Results 161 to 170 of about 460,774 (276)

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

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

Safety evaluation of the food enzyme triacylglycerol lipase from the pregastric tissues of calves, kids and lambs. [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, Andryszkiewicz M, Cavanna D, Liu Y.   +15 more
europepmc   +2 more sources

Safety and efficacy of a feed additive consisting of an essential oil derived from the flowering aerial parts of <i>Mentha arvensis</i> L. (cornmint 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, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Theodoridou K, Bastos ML, Benfenati E, Brantom P, Chesson A, Schlatter J, Westendorf J, Manini P, Dusemund B.   +22 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

Safety and efficacy of a feed additive consisting of an extract from the dried leaves of <i>Hedera helix</i> L. (common ivy extract) and thymol for all animal species and categories except poultry, ornamental birds and all aquatic 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, Gehring R, Glandorf B, Kouba M, López-Alonso M, Marcon F, Nebbia C, Pechová A, Prieto-Maradona M, Theodoridou K, Bastos ML, Benfenati E, Brantom P, Chesson A, Schlatter J, Westendorf J, Manini P, Dusemund B.   +22 more
europepmc   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Flavor improvement of enzymatic oyster juice by sequential heating through the accumulation of free amino acids and volatile flavor compounds. [PDF]

Front Nutr
Wang J, Chen T, Jiang Y, Li C, Hou J, Huang X.   +5 more
europepmc   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
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, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Safety evaluation of the food enzyme pectin lyase from the non-genetically modified <i>Aspergillus luchuensis</i> strain CBS 141530. [PDF]

EFSA J
EFSA Panel on Food Enzymes (FEZ), Zorn H, Baviera JMB, 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, Andryszkiewicz M, Cavanna D, Kovalkovicova N, Liu Y.   +19 more
europepmc   +1 more source