Results 81 to 90 of about 1,272,756 (322)
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
Review: Encyclopedia of linguistics [PDF]
, 2005 The two volumes of this new encyclopedia contain over five hundred self-contained essays, each between 1000 and 3000 words, covering a very wide range of topics.
Barnard, Roger
core +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Complex Systems and Applied Linguistics
, 2008 This book introduces and develops the potential of complex systems as a metaphor or supra-theory for systems in applied linguistics. Change and heterogeneity are central to complex systems theory and to the resonances that we find between complex systems
D. Larsen-Freeman, L. Cameron
semanticscholar +1 more source
Discourses Of Prejudice In The professions: The Case Of Sign Languages [PDF]
, 2017 There is no evidence that learning a natural human language is cognitively harmful to children. To the contrary, multilingualism has been argued to be beneficial to all.
Humphries, T. +6 more
core +2 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced 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
Constructing a second language: some final thoughts [PDF]
, 2009 All the papers in this special section address issues central to cognitive linguistics research: usage-based models with their focus on frequency; multi-word units and the relationship between lexical and grammatical knowledge; and the nature of lexical ...
Ewa Dąbrowska +1 more
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Advanced Intelligent Discovery, EarlyView.Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Behavioral Sciences, 2019 The effect of bilingualism on inhibition control is increasingly under ongoing exploration. The present study primarily investigated the effect of within bilingual factors (i.e., dominance types of Uyghur-Chinese bilinguals) on a Stimulus-Stimulus task ...
Ruilin Wu, Esli Struys, Katja Lochtman
doaj +1 more source
Letter counting: a stem cell for Cryptology, Quantitative Linguistics, and Statistics [PDF]
, 2012 Counting letters in written texts is a very ancient practice. It has accompanied the development of Cryptology, Quantitative Linguistics, and Statistics. In Cryptology, counting frequencies of the different characters in an encrypted message is the basis
Ycart, Bernard
core +2 more sources