Results 131 to 140 of about 711,318 (316)
Agribusiness, 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
SYN v9: large corpus of written Czech
, 2021 Corpus of contemporary written (printed) Czech sized 4.7 GW (i.e. 5.7 billion tokens). It covers mostly the 1990-2019 period and features rich metadata including detailed bibliographical information, text-type classification etc.
Jelínek, Tomáš +13 more
core
AIChE Journal, EarlyView.Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Corpus-based research into translation and interpreting, taken here to subsume Corpus-based Translation Studies and Corpus-based Interpreting Studies, is a branch of Translation Studies in which corpus analysis is used as a major paradigm and research methodology for the analysis of translated and interpreted language and what makes them distinct from ...
Castagnoli, Sara, Kajzer-Wietrzny, Marta
openaire +3 more sources
Advanced Intelligent Discovery, EarlyView.Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Asian Journal for Mathematics EducationThis study explored high school students’ understanding of rate of change in physical and functional situations involving two covarying quantities, and the nature of difficulties the students exhibited as they reasoned, represented, and made connections ...
Pragati Bannerjee +2 more
doaj +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
SYN2009PUB: corpus of Czech newspapers
, 2010 Corpus of contemporary Czech newspapers and magazines sized 700 MW. It contains various titles published between 1995–2007. The corpus is lemmatized and morphologically tagged by a combination of stochastic and rule-based methods. The corpus is provided
Bartoň, Tomáš +6 more
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
, 2011 In (advanced) preparation: a reference corpus of Polish language containing hundreds millions of ...
core +1 more source