Results 241 to 250 of about 171,295 (350)

Two‐Dimensional Piezoelectric Nanomaterials for Nanoelectronics and Energy Harvesting

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Two‐Dimensional Piezoelectric Nanomaterials from properties to applications. Smart materials, especially piezoelectric materials, have gained popularity over the last two decades. Two‐dimensional (2D) piezoelectric materials exhibit attributes including great flexibility, ease of workability, extensive surface area, and many active sites, indicating ...
Yujun Cao, Sikandar Aftab, Zeeshan Ali, Muhammad Farooq Khan, Ghazanfar Nazir, Awais Khalid, Hosameldin Helmy Hegazy, Ibrahim S. Yahia, Altaf Hussain Rajpar, Burragoni Sravanthi Goud, Jae Hong Kim, Erdi Akman, Xin Li   +12 more
wiley   +1 more source

A DYNAMIC VIRTUAL HAND MODEL FOR ESTIMATING JOINT TORQUES DURING THE WRIST AND FINGERS MOVEMENTS

, 2018
Kasım Serbest, Murat Çilli, Osman Eldoğan   +2 more
openalex   +1 more source

On the Innervation, Especially the Sensory Innervation of Elbow- and Wrist-joints and their Vicinity in Earlier Stage of Human Embryo

, 1957
Goro Ito
openalex   +2 more sources

GaIn‐Induced Polarization Control in PVDF for High‐Efficiency Energy Harvesting and Instantaneous Wireless Sensing

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study presents a liquid metal–engineered β‐PVDF composite enabling high‐performance piezoelectric–triboelectric nanogenerators. Guided by MD/DFT simulations, GaIn doping promotes β‐phase formation and dipole alignment, while native oxides enhance charge retention.
Jiaqi Lu, Kaihang Zhang, Dinku Hazarika, Liangquan Xu, Jiatong Yao, Lifeng Xuan, Jiafeng Ni, Jianhui Wu, Jie Li, Rui Wan, Xinyu Cai, Chuanrui Chen, Yongjun Wu, Jikui Luo   +13 more
wiley   +1 more source

Improved Surface Electromyogram-Based Hand–Wrist Force Estimation Using Deep Neural Networks and Cross-Joint Transfer Learning

Haopeng Wang, He Wang, Chenyun Dai, Xinming Huang, Edward A. Clancy   +4 more
openalex   +1 more source

Prevalence of transthyretin cardiac amyloidosis in undifferentiated heart failure with preserved ejection fraction

ESC Heart Failure, Volume 12, Issue 2, Page 1176-1182, April 2025.
Abstract Aims Transthyretin amyloid cardiomyopathy (ATTR‐CM) is an increasinglyrecognized cause of heart failure with preserved ejection fraction (HFpEF), which may be diagnosed non‐invasively using 99mTc 3,3‐diphosphono‐1,2‐propanodicarboxylic acid (DPD) scintigraphy‐based diagnostic criteria.
L. Healy, G. Giblin, A. Gray, N. Starr, L. Murphy, D. O'Sullivan, E. Kavanagh, C. Howley, C. Tracey, E. Morrin, A. McDaid, A. Clarke, J.O. O'Neill, E. Joyce, M. O'Connell, N. G. Mahon   +15 more
wiley   +1 more source

Excision in Tuberculosis of Joints-Hip and Wrist.

, 1901
Howard J. Williams
openalex   +1 more source

Conformal shape‐adaptive wireless charging supercapacitors for wearable devices

FlexMat, EarlyView.
This article presents a conformal shape‐adaptive MXene‐printed flexible supercapacitor that maintains outstanding electrochemical performance on curved surfaces, thereby enabling simultaneous wireless energy harvesting and storage for advanced wearable electronics.
Yihang Cao, Zhen You, Xueqing Chen, Shujiao Chen, Yunshuo Zhang, Xuan Zhang, Yuzhe Chen, Mingze Wang, Shujuan Liu, Weiwei Zhao, Qiang Zhao   +10 more
wiley   +1 more source

Prediction of Impact Shock Vibrations at Tennis Player's Wrist Joint (Comparison between Conventional Weight Racket and Light Weight Racket with Super Large Head Size)

, 2013
Yoshihiko Kawazoe, Yukihiro TAKEDA, Masamichi NAKAGAWA, F. Casolo, Ryoso Tomosue, Keiko YOSHINARI   +5 more
openalex   +2 more sources

Self‐powered triboelectric‐electromagnetic composite sensor based on Kresling structure for AIoT‐assisted rehabilitation applications

InfoMat, EarlyView.
This work introduces a self‐powered rehabilitation sensor using a Kresling‐structured TPU substrate with integrated TENGs and EMGs for high‐sensitivity motion detection. By combining AIoT technologies and machine learning, it enables immersive, personalized rehabilitation with over 98% accuracy in identity verification, limb and wrist motion monitoring,
Liang Xu, Long Li, Tianhong Wang, Sicheng Yi, Chenhao Zhang, Yingzhong Tian, Tao Jin, Quan Zhang, Chengkuo Lee   +8 more
wiley   +1 more source