Results 121 to 130 of about 88,024 (314)

Measuring Nutrition Security Using the Consumer Food Data System Datasets

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Nutrition security is an emerging concept lacking a consensus definition, conceptualization, or standardized measure. This perspectives manuscript synthesizes findings from two previously published analyses to assess the feasibility of using available measures of key dimensions of nutrition security from two Consumer Food Data System (CFDS ...
Vibha Bhargava   +2 more
wiley   +1 more source

A. Alison, Bachelard, “International Lexicon of Aesthetics”, Vol. 4, Milano, Mimesis, 2021.

open access: yes, 2021
Bachelard   +5 more
core   +1 more source

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

open access: yesAgribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi   +2 more
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

open access: yesAIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho   +4 more
wiley   +1 more source

Lexicon Germanico-Latinum

open access: yes
Lexicon Germanico-LatinumVorlageform der Veröffentlichungsangabe: Breßlau, Verlegts Johann Jacob KornText dt.
Steinbach, Christoph Ernst
core   +1 more source

The acquisition of interlanguage morphology : a study into the role of morphology in the L2 learner's mental lexicon [PDF]

open access: yes, 1998
Introduction 1.1 Morphology and second language learning If Dutch learners of English encounter a word like undoable, they may recognise it because they have seen it before and have remembered it.
Lowie, Wander Marius; id_orcid   +2 more
core  

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

open access: yesAIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son   +4 more
wiley   +1 more source

IbrahimTanyalcin/lexicon-rainbow: lexicon-rainbow-R1

open access: yes, 2017
<ul> <li>This is the first production version of <strong>lexicon-rainbow</strong>. </li> <li>The version of this release is in compliance with the NPM version at the time.</li> <li><p>The main scripts
Ibrahim Tanyalcin
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

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