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
From "scientific leadership" to sustainable innovation: the shaping mechanism of talent ecosystem and green innovation capability in Chinese knowledge-intensive firms. [PDF]
Liang R.
europepmc +1 more source
Enhancing student creativity in AIGC design education: the mediating role of learning motivation in reverse engineering pedagogy. [PDF]
Liu G, Zhang X.
europepmc +1 more source
Food Prices and Inflation Expectations in New Zealand
ABSTRACT Food prices are conspicuous, and spending on food constitutes a considerable share of household expenditure. In this study, we use partially identified Bayesian structural vector autoregression models to analyze the effects of food price shocks on core inflation and 1‐ and 5‐year inflation expectations in New Zealand.
Puneet Vatsa +2 more
wiley +1 more source
The determination of human creative thinking by employing machine learning classification on EEG signals. [PDF]
Zou J, Yuan F, Zhou S, Yang J, Liu C.
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Neural Correlates of Extraversion and Trait Creativity: A Graph Theory-Based Whole-Brain Functional Network Modularity Analysis. [PDF]
Ding X, Dai F, Gai X, Tang YY.
europepmc +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
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
The relationships among learning engagement, continuous improvement attitude and creativity performance: a study based on a C-STEAM course. [PDF]
Qian C, Ye JH, Zhang L, Wang L.
europepmc +1 more source

