Results 41 to 50 of about 11,087 (240)

Organoid Modeling of Mouse Anterior Tongue Epithelium Reveals Regional and Cellular Identities

Advanced Science, EarlyView.
The tongue's anterior epithelium is maintained by region‐specific stem/progenitor cells, yet in vitro models are limited. Long‐term expanding organoids are developed from adult mouse anterior tongue that retain region‐specific identity, cellular diversity, and gene regulatory features. These organoids differentiate into keratinocytes, Merkel‐like cells,
Seok‐Young Kim, Laurens H. G. Verweij, Lin Lin, Johan H. van Es, Jay Slack, Chris Winkel, Tito Candelli, Philip Lijnzaad, Thanasis Margaritis, Gerben E. Breimer, Karin Sanders, Marc van de Wetering, Hans Clevers   +12 more
wiley   +1 more source

Morphemic Structure of Lithuanian Words

Open Linguistics, 2016
The Lithuanian language is a typical flectional language that has a very sophisticated system of grammatical forms and many means of derivation; it is also characterized by uncertain boundaries between morphemes.
Rimkutė Erika, Kazlauskienė Asta, Utka Andrius   +2 more
doaj   +1 more source

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

Advanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang, Changhua Lai, Jinbiao Zhao, Junjun Wang   +3 more
wiley   +1 more source

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Employing computational linguistics in the makers and development of digital atlases

قضايا لغوية, 2022
This study aims to introduce computational linguistics, and to show its important role in the manufacture and development of digital atlases, as computational linguistics is one of the most important branches of applied linguistics that is based in its ...
Abdelbasset Abdelssamed BENSEDDIK, Taher BRAHIMI   +1 more
doaj   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Immersive auditory-cognitive training improves speech-in-noise perception in older adults with varying hearing and working memory

npj Science of Learning
Ageing is associated with elevated pure-tone thresholds, accompanied by increased difficulties in understanding speech-in-noise. While amplification provides important, but insufficient support, auditory-cognitive training (ACT) might propose a solution.
Vanessa Frei, Nathalie Giroud
doaj   +1 more source

Computational linguistics and discourse complexology: Paradigms and research methods

Russian Journal of Linguistics, 2022
The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic analysis, select,
Valery Dmitrievich Solovyev, Marina Ivanovna Solnyshkina, Danielle S. McNamara   +2 more
doaj   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Neural encoding of linguistic speech cues is unaffected by cognitive decline, but decreases with increasing hearing impairment

Scientific Reports
The multivariate temporal response function (mTRF) is an effective tool for investigating the neural encoding of acoustic and complex linguistic features in natural continuous speech.
Elena Bolt, Nathalie Giroud
doaj   +1 more source