Results 81 to 90 of about 469,627 (286)

Developing a List of Expressive Vocabulary for Farsi-speaking Children Aged 24-48 Months: Comparison Between Down Syndrome and Typically Developing Children

open access: yesJournal of Modern Rehabilitation, 2021
Introduction: Expressive vocabulary plays a vital role in child language development, and its assessment can be one of the essential indicators to identify language developmental delay, especially in children with Down syndrome.
Elham Masoumi   +3 more
doaj  

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

Word recognition from tiered phonological models [PDF]

open access: yes, 1994
Phonologically constrained morphological analysis (PCMA) is the decomposition of words into their component morphemes conditioned by both orthography and pronunciation. This article describes PCMA and its application in large-vocabulary continuous speech
Huckvale, M
core  

Metalinguistic awareness in L2 vocabulary acquisition : which factors influence learners’ motivations of form-meaning connections? [PDF]

open access: yes, 2017
Research has shown that prompting learners to elaborate on the appropriateness of form-meaning links can be an efficient vocabulary learning exercise (Deconinck, Boers & Eyckmans, 2017).
Candry, Sarah   +2 more
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

The contribution of vocabulary breadth and depth to narrative writing ability: A partial least squares structural equation modelling approach

open access: yesAustralian Journal of Applied Linguistics
Despite the well-established role of lexis in proficiency in the four skills, a great deal of research has focused on the importance of vocabulary breadth and depth in reading.
Abdelaziz Agrram   +2 more
doaj   +1 more source

A review of four studies on measuring vocabulary knowledge

open access: yesVocabulary Learning and Instruction, 2014
The purpose of this paper is to review each of the following four vocabulary studies: (1) Estimations of Japanese University Learners’ English Vocabulary Sizes Using the Vocabulary Size Test (VST), by Stuart McLean, Nicholas Hogg, and Brandon Kramer, (2)
Akiyo Hirai
doaj   +1 more source

Direct vocabulary instruction: The effects of contextualised word families on students’ vocabulary acquisition / Frankie Subon [PDF]

open access: yes, 2018
The present study’s review on past studies in Malaysia reveals lexical paralysis as the main reason for students’ inability to master English as a second language.
Subon, Frankie
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced 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

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

open access: yesAdvanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher   +4 more
wiley   +1 more source

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