Results 71 to 80 of about 105,625 (306)
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
Stimulating breadth and depth of vocabulary via repeated storybook readings or tests [PDF]
We investigated effects of listening to single or multiple storybook readings versus testing with and without feedback on children's breadth (i.e., the number of words) and depth (i.e., the quality of word knowledge) of vocabulary learning. Kindergartners (n = 125) were divided into 3 intervention and 1 control conditions.
Damhuis, C.M.P. +3 more
openaire +2 more sources
Learned Conformational Space and Pharmacophore Into Molecular Foundational Model
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang +8 more
wiley +1 more source
OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu +17 more
wiley +1 more source
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
This research aims to provide a preliminary approach on to what extent linguistic and situational contexts are conducive to successful vocabulary recognition in discrete-item testing in the context of a language teacher education program in Bogotá.
Claudia Patricia Franco +1 more
doaj +1 more source
A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu +10 more
wiley +1 more source
The purpose of this study was to determine the effect of using collocation to improve students’ English vocabulary breadth of Akpar Mataram hospitality students. Researcher take 50 students as sample.
I Nyoman Tri Dharma
doaj +1 more source
Breadth and Depth of Vocabulary Knowledge and Their Effects on L2 Vocabulary Profiles
<p class="Abstract">Breadth and depth of vocabulary knowledge have been studied from many different perspectives, but the related literature lacks serious studies dealing with their effects on vocabulary profiles of EFL learners. In this paper, with an aim to fill this gap, the relative effects of breadth and depth of vocabulary knowledge on L2 ...
openaire +2 more sources
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source

