Results 211 to 220 of about 3,625,950 (296)

The association of dorsal and ventral white matter tracts with phonological and semantic processing of language in 5- to 7-year-old children. [PDF]

Dev Cogn Neurosci
Mathur A, Zheng H, Wang Y, Mues M, Booth JR.   +4 more
europepmc   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Age-related alterations in alpha and beta oscillations support preservation of semantic processing in healthy aging. [PDF]

NPJ Aging
Hall MC, Rempe MP, Casagrande CC, Glesinger RJ, Petro NM, Garrison GM, John JA, Dietz SM, Schantell M, Bai H, Arif Y, Embury CM, Bashford S, Okelberry HJ, Petts AJ, Keifer EL, May-Weeks PE, Picci G, Heinrichs-Graham E, Wilson TW.   +19 more
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Neural correlates of aesthetic tragedy: evidence for enhanced semantic processing and cognitive control in response to tragic versus joyful music. [PDF]

Front Psychol
Li CW, Tsai CG.
europepmc   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Hippocampal and cortical oscillatory dynamics reflect semantic processing and predict behavioural performance. [PDF]

J Physiol
Rempe MP, Casagrande CC, Embury CM, Arif Y, Bashford S, Garrison GM, Glesinger RJ, Okelberry HJ, Keifer EL, Picci G, Heinrichs-Graham E, Wilson TW.   +11 more
europepmc   +1 more source

From Word2Vec to Transformers: Text‐Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

Advanced Intelligent Discovery, EarlyView.
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley   +1 more source

Familiar Music Reduces Mind Wandering and Boosts Behavioral Performance During Lexical Semantic Processing. [PDF]

Brain Sci
Bidelman GM, Feng S.
europepmc   +1 more source

U‐Net‐Based Prediction of Concealed Volume Loss in AZ31 From Optical Corrosion Imprints and As‐Exposed Surface Topography

Advanced Intelligent Discovery, EarlyView.
How much material loss is concealed beneath a layer of corrosion products? This proof‐of‐concept study demonstrates how concealed volume loss is inferred from the optical appearance and as‐exposed surface topography of AZ31 corrosion imprints. By predicting postcleaning depth maps, a multimodal U‐Net model estimates hidden volume loss without chromic ...
Lars Dammann, Ci Song, Bahram Vaghefinazari, Tim Würger, Anna Lisitsyna, Shadi Albarqouni, Mikhail L. Zheludkevich, Sviatlana V. Lamaka, Christian Feiler   +8 more
wiley   +1 more source