Neural Coding of Multiple Linguistic Components During Reading Comprehension Across Development. [PDF]
Chen J +10 more
europepmc +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Avoiding unintended consequences: science of reading policies may harm deaf children. [PDF]
Sampson T +30 more
europepmc +1 more source
Understanding and Designing Phase Change Materials: Insights From Atom Probe Tomography
Atom probe tomography can distinguish metallic, covalent, and metavalent bonds based upon their bond rupture; in particular, the probability to form more than one ion (PME) in laser‐assisted field evaporation. These findings open new avenues in understanding and designing phase change materials (PCMs) since they allow quantification of bonds in solids ...
Jan Köttgen +3 more
wiley +1 more source
Reading in a Second Language: Moving from Theory to Practice (Second Edition)
Sachiko Matsunaga
doaj +1 more source
Neural tracking of surprisal in Spanish-English bilingual children during naturalistic heritage language listening. [PDF]
Salig LK +15 more
europepmc +1 more source
The simple view of second language reading throughout the primary grades. [PDF]
Verhoeven L, van Leeuwe J.
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Language and Mathematics Performance: A Systematic Umbrella Review and Meta-Meta-Analysis. [PDF]
Geçici ME, Geçici F, Kaya M.
europepmc +1 more source

