Results 161 to 170 of about 211,846 (266)

Interlayer Dzyaloshinskii–Moriya Interaction in Synthetic Ferrimagnets for Spiking Neural Networks

Advanced Science, EarlyView.
This work introduces a groundbreaking integration of asymmetric magnetic structures (synthetic ferrimagnets) and antisymmetric magnetic interaction (interlayer Dzyaloshinskii–Moriya interaction) for the first time. It addresses the critical challenge of IL‐DMI detection and shows the discovery of unprecedented analog‐like spin‐orbit torque switching ...
Shen Li, Xing Chen, Mouad Fattouhi, Tianxun Huang, Chen Lv, Mark C. H. de Jong, Pingzhi Li, Daoqian Zhu, Xiaoyang Lin, Felipe Garcia‐Sanchez, Eduardo Martinez, Stéphane Mangin, Bert Koopmans, Weisheng Zhao, Reinoud Lavrijsen   +14 more
wiley   +1 more source

Damage identification of reinforced concrete structure based on CNN-ICSA-GWELM model. [PDF]

Sci Rep
You W.
europepmc   +1 more source

Nanozymes Integrated Biochips Toward Smart Detection System

Advanced Science, EarlyView.
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen, Wang Zheng, Zhihui Zhang, Shenping Yu, Xinxin Hang, Han Wu, Xiao‐Wei Xiang, Wei Mu, Yanli Jiao, Zaizai Dong, Lingqian Chang   +10 more
wiley   +1 more source

Research on Seasonal Disease Warning Methods for Northern Winter Sheep Based on Ear-Base Temperature. [PDF]

Animals (Basel)
Zhou J, Jiang R, Xie D, Shimamura T.
europepmc   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Tree-based learning for high-fidelity prediction of chaos. [PDF]

Sci Rep
Giammarese A, Rana K, Bollt EM, Malik N.
europepmc   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source

Dual-phase optimized deep learning framework for accurate, efficient, and robust battery SoC estimation. [PDF]

Sci Rep
R S, Mani G.
europepmc   +1 more source

Integrated Ultrasound Device for Precision Bladder Volume Monitoring via Acoustic Focusing and Machine Learning

Advanced Science, EarlyView.
We present a conformable wearable ultrasound patch for noninvasive bladder volume monitoring. A flexible PZT array combined with a concave acoustic lens concentrates acoustic energy and improves depth selectivity through the anterior pelvic wall.
Long Long Cao, Feng Wen Wang, Jingwei Xue, Fulei Liu, Ming Liang Jin   +4 more
wiley   +1 more source

Linear predictive coding electroencephalography algorithms predict mortality in Parkinson's disease. [PDF]

Clin Park Relat Disord
Jamshidi S, Espinoza AI, Heinzman JT, May P, Uc EY, Narayanan NS, Dasgupta S.   +6 more
europepmc   +1 more source