Results 91 to 100 of about 289,006 (287)

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

WORK WITH ENGLISH CORPORA AS A MEANS OF PROMOTING LEARNER AUTONOMY

open access: yesОбразование и наука, 2018
Introduction. Learner autonomy and the ability to determine their own learning paths are becoming the crucial components of graduates’ competitiveness. As Russian students at many higher educational institutions are often brought up in a teacher-oriented
A. N. Oveshkova
doaj   +1 more source

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

open access: yesAgribusiness, 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   +3 more
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

Book Review: Marcus Callies and Sandra Götz (eds.). (2015). Learner corpora in language testing and assessment (Studies in Corpus Linguistics 70) Amsterdam/ Philadelphia: John Benjamins, pp 220

open access: yesRevista de Lenguas para Fines Específicos, 2016
Book Review: Marcus Callies and Sandra Götz (eds.). (2015). Learner corpora in language testing and assessment (Studies in Corpus Linguistics 70) Amsterdam/ Philadelphia: John Benjamins, pp ...
Jesús García Laborda
doaj  

Evaluating the consistency of text readability levels across corpora for English education

open access: yesScientific Reports
Text readability assessment is important for natural language processing, educational text adaptation, and learner-oriented content selection. However, readability labels defined in different corpora are often not directly comparable because they are ...
Yang Liu
doaj   +1 more source

ARIDA: An Arabic Inter-Language Database and Its Applications: A Pilot Study [PDF]

open access: yesJournal of the National Council of Less Commonly Taught Languages, 2009
This paper describes a pilot study in which we collected a small learner corpus of Arabic, developed a tagset for error annotation and performed simple Computer-aided Error Analysis (CEA) on the data.
Ghazi Abuhakema   +2 more
doaj  

Grammatical Collocations and Learner Corpora

open access: yes, 2013
The aim of my thesis is to introduce the concept of collocation and to show how closely grammatical collocations generally known as restricted combinations are connected to learner corpora.
Szilágyi, Katalin
core  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source

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