Results 111 to 120 of about 370,647 (296)
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
This study investigates the effect of different vocabulary learning strategies (VLS) as well as different learner styles on vocabulary size in Saudi Arabic-speaking students in higher education.
Alaa Alahmadi +2 more
doaj +1 more source
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
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
THE EFFECTIVENESS OF USING WORD WALL ON STUDENT’S MASTERY IN VOCABULARY OF RECOUNT TEXT “HOLIDAY” AT THE EIGHTH GRADE STUDENTS OF MTS KHAS KEMPEK KABUPATEN CIREBON [PDF]
Khotimah. 14111330142. The effectiveness of using word wall on students’ mastery in vocabulary of recount text “holiday” at the eighth grade students of MTs Khas Kempek Kabupaten Cirebon.
KHOTIMAH,
core
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Incidental learning of vocabulary through computer-based and paper-based games by secondary school ESL learners [PDF]
This quasi-experimental study attempted to investigate which mode of language games, paper-based or computer-based, can better expand the English vocabulary size of Form Four students especially at the 2000 word-level.
Letchumanan, Kanthimathi +4 more
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Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Assessing the German vocabulary size of elementary school students in Graubünden, Switzerland
Vocabulary size correlates strongly with general language proficiency and is highly predictive of academic skills. Frequency-based vocabulary tests, such as the German VST (‚Vocabulary Size Test‘; Institut für Testforschung und Testentwicklung, 2019 ...
Dominique Caglia, Erwin Tschirner
doaj +1 more source
An Investigation into the Vocabulary Size of EST Students at a Japanese University Using VST [PDF]
This article reports on an investigation into the vocabulary competency of 553 second-year students of science and engineering majors at a Japanese university in 2014 and 2015 by using the Vocabulary Size Test (VST) developed by Nation and Beglar.
core +1 more source

