Results 71 to 80 of about 3,454 (261)
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan +8 more
wiley +1 more source
In this study, we identify a novel functional role of ZBTB18 in regulating trigeminal‐mediated neuropathic pain. Nerve injury reduces ZBTB18 in trigeminal ganglion neurons, impairing CHD4/NuRD recruitment and de‐repressing Clic1. Elevated CLIC1 enhances chloride channel activity and neuronal hyperexcitability, thereby driving pain.
Shoupeng Wang +11 more
wiley +1 more source
Annotating and Analyzing Learner Production with UAM Corpus Tool
The increasing integration of learner corpora into Second Language Acquisition (SLA) research has created the need for annotation tools that support systematic, transparent, and multi-layer analyses of learner production.
Aída García-Tejada, Teresa Quesada
doaj +1 more source
Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li +8 more
wiley +1 more source
Millest räägivad eesti õppijakeele käändeasendused?
The article expounds on some trends witnessed in the use of object cases in Estonian. It is a synchronous research basing on Estonian learner language and standard language corpus-driven and corpus-based comparative language usage analysis.
Pille Eslon
doaj +1 more source
LEARNER CORPUS ANNOTATION IN LATVIA AND LITHUANIA
Learner corpora are gaining popularity in the Baltic States as well as elsewhere in the world. The aim of the article is to discuss what kinds of annotation have been used in learner corpus research in Latvia and Lithuania so far and to describe which ones of them would be most suitable for the newly created learner corpus of the second Baltic language
openaire +3 more sources
Researchers developed and applied a generative artificial intelligence (AI) model to optimize epsilon‐near‐zero thin film stacks for ultra‐broadband perfect absorption of light. The fabricated AI‐designed absorber, with a total thickness of only 160 nm, experimentally demonstrated an absorption bandwidth exceeding 1000 nm while maintaining greater than
David Dang +10 more
wiley +1 more source
qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang +3 more
wiley +1 more source
Compilation of a University Learner Corpus
Corpus Linguistics (CL) and Second Language Acquisition (SLA) areas have been complementary background for researchers interested in contrastive interlanguage analysis (Granger, 1998), shedding light on our understanding of English acquisition by various learner groups.
Deise Prina Dutra +1 more
openaire +2 more sources
Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu +9 more
wiley +1 more source

