Results 161 to 170 of about 3,597,576 (285)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Walkbot-Based Robot-Assisted Gait Training and Phase-Specific Lower-Limb Torque in Parkinson's Disease: A Retrospective Comparative Study. [PDF]

Brain Sci
Ozkocak G, Calabrò RS.
europepmc   +1 more source

Self‐Powered All‐in‐One Wearable Bioelectronics Driven by Pneumatic Energy Buffering of Daily Footsteps

Advanced Science, EarlyView.
A pneumatic energy‐buffering strategy transforms transient and intermittent footsteps into quasi‐continuous electrical energy for a self‐powered wearable biosensing platform. The footwear‐integrated air‐pumping harvester, combined with the rationally designed power‐management system, powers a wearable ankle PPG device with reduced motion artifacts ...
Ji‐Seok Kim, Tae Woog Kang, Hyunjoon Yoo, Jawon Ha, Yunuo Huang, Hee Han, Chi Won Ahn, Woon‐Hong Yeo, Il‐Kwon Oh   +8 more
wiley   +1 more source

Effect of using knee extension aid for gait training in subacute hemiplegia: a randomized controlled trial. [PDF]

J Phys Ther Sci
Murayama M, Hoshi A.
europepmc   +1 more source

Low Latency Global Carbon Budget Reveals Late 2024 Carbon Losses and Contrasting Early 2025 Land Sink Recovery Signals

Advanced Science, EarlyView.
Low latency carbon budget estimates for July 2024–June 2025 combine atmospheric CO2 growth rates, fossil emissions, ocean uptake, DGVM land fluxes, and OCO‐2 inversions. The budget shows that late‐2024 land carbon losses dominate the annual anomaly, while early‐2025 recovery differs between bottom‐up models and top‐down inversions, especially in ...
Piyu Ke, Philippe Ciais, Yitong Yao, Stephen Sitch, Wei Li, Xiaomeng Du, Xiaofan Gui, Ben Poulter, Thomas Colligan, Auke M. van der Woude, Joram Hooghiem, Wouter Peters, Zhu Liu, Zhu Deng, Zhe Jin, Xiangjun Tian, Yilong Wang, Junjie Liu, Sudhanshu Pandey, Chris O'Dell, Jiang Bian, John Miller, Xin Lan, Jefferson Goncalves De Souza, Michael O'Sullivan, Pierre Friedlingstein, Julien Alléon, Yi Xi, Daniel S. Goll, Lei Zhu, Guido R. van der Werf, Shilong Piao, Frédéric Chevallier   +32 more
wiley   +1 more source

Systematic Documentation of Physiotherapy Practice During Usual Care and High-Intensity Gait Training in Inpatient Stroke Rehabilitation. [PDF]

J Eval Clin Pract
Hiorth YH, Moore JL, FIRST‐Track Study group.   +2 more
europepmc   +1 more source

A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing

Advanced Science, EarlyView.
Pek Jun Tiw and co‐workers develop a reconfigurable memristive neuron that can exhibit four spiking behaviors with freely tunable spike train parameters. The neuron supports multiplexed spike encoding of multiple pieces of information. It also supports advanced neural network strategies, such as neural heterogeneity and dynamic mode switching ...
Pek Jun Tiw, Yuqi Li, Zhongyuan Li, Qihang Ding, Yuzhe Wang, Jiarong Wang, Yuchao Yang   +6 more
wiley   +1 more source

Robot-Assisted Gait Training in a Patient with Adult Polyglucosan Body Disease: A Case Report. [PDF]

J Clin Med
Shin S, Yoo J, Oh D, Kim J, Jeong J, Jo S, Kim Y.   +6 more
europepmc   +1 more source

A Thickness‐Invariant Origami Robot With Integrated Actuation and Multimodal Locomotion

Advanced Science, EarlyView.
A thickness‐invariant variation on the Yoshimura origami pattern is used as the basis of a robot, allowing power, actuation, and control systems to be embedded within the thickened panels of the pattern. The robot uses multiple kinematic branches to achieve distinct modes of locomotion, such as walking, running, galloping, and turning. ABSTRACT Origami
Davis Wing, Sam Bridge, William Bowler, Nathan Usevitch, Larry Howell   +4 more
wiley   +1 more source

Adaptive Conductive Systems: Enabling Deformable Electronics Through Engineered Materials, Circuits, and Intelligent Systems

Advanced Science, EarlyView.
This review presents the research advances of adaptive conductive systems from the perspective of materials, circuits, systems, and applications. Deformable conductors consist of substrates/matrices and conductive materials, structural design of circuit interconnections, fabrication of circuit interconnections, as well as intelligent systems ...
Yufei Lu, Siyu Liang, Jingyi Niu, Jie Chen, Shuo Zhang, Hongjian Zhang, Dongsheng Jia, Wei Huang   +7 more
wiley   +1 more source