Results 81 to 90 of about 15,886,335 (311)
eVOC: a controlled vocabulary for unifying gene expression data.
Expression data contribute significantly to the biological value of the sequenced human genome, providing extensive information about gene structure and the pattern of gene expression.
J. Kelso +11 more
semanticscholar +1 more source
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
Plant Ontology (PO): a Controlled Vocabulary of Plant Structures and Growth Stages
The Plant Ontology Consortium (POC) (www.plantontology.org) is a collaborative effort among several plant databases and experts in plant systematics, botany and genomics. A primary goal of the POC is to develop simple yet robust and extensible controlled
P. Jaiswal +14 more
semanticscholar +1 more source
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
PENGARUH ORANG TUA DAN LINGKUNGAN TERHADAP PENGUASAAN KOSAKATA ANAK USIA 5-6 TAHUN DI TAMAN KANAK-KANAK “BUKIT AKSARA SEMARANG” [PDF]
Parents and the environment are not separate elements in child development. This research is a descriptive quantitative research about the influence of parents and the environment on child vocabulary mastery.
Dita, Zulfiana
core
Vocabulary is important for some, but not all reading skills [PDF]
Although there is evidence for a close link between the development of oral vocabulary and reading comprehension, less clear is whether oral vocabulary skills relate to the development of word-level reading skills.
Bishop, Dorothy V.M. +3 more
core +2 more sources
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
Cross-concordances: terminology mapping and its effectiveness for information retrieval [PDF]
The German Federal Ministry for Education and Research funded a major terminology mapping initiative, which found its conclusion in 2007. The task of this terminology mapping initiative was to organize, create and manage 'cross-concordances' between ...
Mayr, Philipp, Petras, Vivien
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
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
Introduction: One problem in conducting scientometric thematic analysis is selecting which of the bibliographic fields containing the topics can be analyzed.
Farideh Osareh +3 more
doaj +1 more source

