Results 111 to 120 of about 120,610 (218)

A Three‐Phase Electrostatic Clutch with Variable Mechanical Impedance Control for Soft Robotic Systems

open access: yesAdvanced Science, EarlyView.
The research introduces a three‐phase electrostatic (ES) clutch with variable mechanical impedance control, specifically designed to enable continuous and precise friction modulation, thereby reducing both force degradation and oscillatory motion. This method effectively resolves conventional ES clutch issues, such as residual charge accumulation and ...
Dongyoung Lee, Heejin Yu, Joonbum Bae
wiley   +1 more source

Transcatheter tricuspid valve replacement: will it prevail? [PDF]

open access: yesFront Cardiovasc Med
Zhang X   +11 more
europepmc   +1 more source

A Programmable, 3D Neuron‐On‐Chip Platform Integrating Near Real‐Time Biosensing and Multiaxial Loading for Mechanobiological Injury Profiling

open access: yesAdvanced Science, EarlyView.
A programmable 3D Neuron‐Injury‐on‐a‐Chip platform integrates multiaxial mechanical loading with ultrasensitive electrochemical biosensing to decode neuronal responses in real time. By mimicking physiologically relevant extension–torsion forces, the system reveals load‐specific biomarker trajectories (T‐Tau, NFL), gene regulation, and apoptosis.
Sultan Khetani   +12 more
wiley   +1 more source

III-2-8 Hemodynamic evaluation of mitral valve replacement with a porcine xenograft

open access: diamond, 1978
小沢 修一   +9 more
openalex   +2 more sources

Acute effects of transcatheter aortic valve replacement on the ventricular-aortic interaction

open access: green, 2020
Stamatia Pagoulatou   +7 more
openalex   +2 more sources

Thermal Runaway Temperature Prediction of Lithium‐Ion Battery Under Extreme High‐Temperature Shock Using Experimental and Virtual Data

open access: yesAdvanced Science, EarlyView.
An integrated framework predicts lithium‐ion batteries (LIB) thermal runaway (TR) under extreme high‐temperature shock. By combining experimental data with the multiphysics‐generated virtual data, a hybrid deep learning approach is developed to accurately forecast temperature evolution for unseen scenarios.
Xiaoyu Li   +6 more
wiley   +1 more source

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