Results 131 to 140 of about 17,426 (261)

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

Advanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley   +1 more source

Multiple spatial scale mapping of time-resolved brain network reconfiguration during evoked pain in patients with rheumatoid arthritis. [PDF]

Front Neurosci, 2022
Fanton S, Altawil R, Ellerbrock I, Lampa J, Kosek E, Fransson P, Thompson WH.   +6 more
europepmc   +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

Brain network reconfiguration during reward prediction error processing. [PDF]

Netw Neurosci
Bonna K, Hulme OJ, Steinkamp SR, Meder D, van der Weij MEC, Duch W, Finc K.   +6 more
europepmc   +1 more source

Age differences in functional network reconfiguration with working memory training. [PDF]

Hum Brain Mapp, 2021
Iordan AD, Moored KD, Katz B, Cooke KA, Buschkuehl M, Jaeggi SM, Polk TA, Peltier SJ, Jonides J, Reuter-Lorenz PA.   +9 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Narcolepsy: immunity, neural circuitry, and brain network reconfiguration. [PDF]

Front Immunol
Chen J, Wang Y, Bai Y, Cai Y.
europepmc   +1 more source

Front‐Loading Zn2+ via Lattice‐Breathing‐Enabled Early‐Stage Co‐Intercalation for Ultrastable Zn‐Ion Batteries

Advanced Science, EarlyView.
This study introduces In3+ into δ‐MnO2 to create a lattice breathing effect via a dynamic strain field, which establishes efficient ″ polaronic superhighways″ for charge transport. We uncover an unconventional two‐stage (Zn2+/H+ co‐insertion followed by Zn2+‐dominant) mechanism that enables reversible structural adjustment. This approach simultaneously
Haitao Li, Min Bu, Songlin Li, Huili Cao, Qi Lei, Yang Wang, Limin Zhou, Haigang Liu, Shumin Yang, Zhenhua Chen, Ying Zou, Bo Sun, Wen Wen, Yong Wang, Xiangzhi Zhang, Renzhong Tai   +15 more
wiley   +1 more source

Offline generative network reconfiguration guides insight-like accelerated learning by assimilation into schema in rats. [PDF]

Nat Commun
Bhattarai B, Dragoi G.
europepmc   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source