Results 191 to 200 of about 77,146 (265)

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning. [PDF]

PLoS One
Yang J, Wang S, Chen X, Liu L, Li Y.
europepmc   +1 more source

Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation

Advanced Science, EarlyView.
Sleep deprivation progressively shifts human brain dynamics from near‐critical toward supercritical states, as revealed by neuronal avalanche analysis of resting‐state fMRI. These changes track subjective sleep pressure rather than vigilance lapses and show marked network heterogeneity. A circuit model suggests that reduced inhibitory efficacy provides
Dai Zhang, Liqin Zhou, Rong Wang, Yuehua Han, Zhentao Zuo, Yanghua Tian, Ke Zhou   +6 more
wiley   +1 more source

Empirical Validation of the Nearly Neutral Theory at Divergence and Population-Genomic Scales Using 144 Placental Mammal Genomes. [PDF]

Genome Biol Evol
Bastian M, Enard D, Lartillot N.
europepmc   +1 more source

NLSS3 Impairs SHM1 Autophagic Degradation to Regulate Leaf Morphology and Salt Tolerance in Rice

Advanced Science, EarlyView.
In rice, NLSS3 binds and shields SHM1 from autophagic degradation to maintain serine homeostasis. The A132P mutation in nlss3 disrupts this, triggering SHM1 loss, metabolic dysfunction, K+ imbalance, and impaired ROS scavenging, which collectively drive narrow leaves and salt sensitivity.
Xiong Liu, Yulu Yang, Zhiqi Hao, Jing Xu, Huibo Zhao, Qiang Zhang, Deyong Ren, Xia Li, Guojun Dong, Lan Shen, Li Zhu, Jiang Hu, Zhenyu Gao, Qing Li, Qian Qian, Guangheng Zhang   +15 more
wiley   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

The case for contextually grounded executive function measurement. [PDF]

Proc Natl Acad Sci U S A
Mazzaferro MM, Obradović J, Doebel S, Wolf S, Munakata Y, Thorell LB, Willoughby M, Howard SJ.   +7 more
europepmc   +1 more source

Large‐Scale Growth of Self‐Poled Ferroelectric Rashba Semiconductor α‐GeTe(111) Thin Films: A Crucial Step Towards Future CMOS‐Compatible Ferroelectric Spintronic Devices

Advanced Science, EarlyView.
Ferroelectric Rashba semiconductors promise ultralow‐power devices but lack industry‐quality films. This work demonstrates CMOS‐compatible fabrication of high‐quality α‐GeTe(111) films via magnetron sputtering, enabled by a 5 nm Sb2Te3 seed layer. Structural and ferroelectric analyses show robust, switchable polarization comparable to MBE films, paving
Jules Lagrave, Nicolas Bernier, Thomas Jalabert, Yoann Brûlé, Damien Térébénec, Pierre Meilleur, Hervé Roussel, Jean‐Baptiste Dory, Oussama J. Mouawad, Thibault Chommaux, Cristian Mocuta, Dominique Thiaudière, Laurent Vila, Françoise Hippert, Pierre Noé   +14 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
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, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Universal activated aging and weak ergodicity breaking in spin and structural glasses. [PDF]

Sci Adv
Li B, Pan D, Qu T, Jin Y.
europepmc   +1 more source