Results 171 to 180 of about 11,745 (281)
Dynamicity Predicts Inferred Temporal Order in Complex Sentences: Evidence from English, German, and Polish. [PDF]
Cogn SciMarx E, Iwan O, Wittenberg E.
europepmc +1 more source
Avoiding stress on non-lexical material in nouns and verbs: predictable verb prosody in Serbo-Croatian stress standard varieties. [PDF]
Linguistics, 2023 Simonović M, Kager R.
europepmc +1 more source
Advanced Science, EarlyView.A “polymer‐in‐cage” strategy transforms a zinc‐acrylate copolymer into an active pore‐modulating agent for ZIF‐8 nanoplates. The polymer actively tunes the MOF's pore structure by anchoring within its windows, while the nanoplates create tortuous pathways.
Minsu Kim +9 more
wiley +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Advanced Science, EarlyView.Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Bleating, growling, barking, and spitting: Metaphorical extensions and valency patterns of verbs of speaking. [PDF]
PLoS OneBrač I, Despot KŠ, Belaj B.
europepmc +1 more source
St'át'imcets frustratives as not-at-issue modals. [PDF]
Linguistics, 2022 Davis H, Matthewson L.
europepmc +1 more source
Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics
Advanced Science, EarlyView.Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang +11 more
wiley +1 more source
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
Advanced Science, EarlyView.This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source