Results 91 to 100 of about 345 (185)
A bioinspired TENG features a homologously paired interface with matched modulus. Ultrasonic cavitation enhances its toughness to 190 N m−1 (3.2× higher), preventing delamination under 400% strain. Abstract With the growing demand for flexible self‐powered energy sources for wearable bioelectronics, triboelectric nanogenerator (TENG) have emerged as a ...
Shiwei Xu +7 more
wiley +1 more source
This study explores a novel E‐tattoo made from PVBVA fibers coated with Ti3C2Tx MXene. The device is designed to harvest energy directly from the human body, providing power for itself. The research demonstrates the E‐tattoo's capability for charge storage and its potential for health monitoring through integrated ECG and EMG sensing, all within a ...
Ajay Pratap +16 more
wiley +1 more source
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
Electrospinning a composite of PVDF, HfO2, and nano‐Cu transforms the discrete precursors into a continuous nanofiber mesh, forming a multi‐interface heterostructure with embedded nanoparticles. The presence of HfO2 and nano‐Cu at the fiber interfaces induces a highly aligned β‐phase, which enhances piezoelectric crystallinity and improves the material'
Jiawei Gu +9 more
wiley +1 more source
An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan +4 more
wiley +1 more source
The Use of Some Electric Measurements on Biomechanical Phenomena [PDF]
Carl Hirsch
openalex +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source

