Results 151 to 160 of about 126,479 (268)

Understanding the Roles of Microstructure and Viscoelasticity of Soft Ionic Elastomer for Super‐Capacitive Pressure Sensors

open access: yesAdvanced Science, EarlyView.
By engineering the PVA/H3PO4 ionic elastomer with optimized viscoelasticity and a height‐graded microstructure, the pressure sensor achieves a broad linear range up to 2000 kPa and a high sensitivity of 2.70 nF/kPa. These advancements underscore its strong potential for wearable electronics, including bio‐signal detection, health monitoring, and ...
Allen J. Cheng   +13 more
wiley   +1 more source

Intracellular Reactive Oxygen Species Generation Induced by High‐Frequency Ultrasound in Thickness Vibration Mode

open access: yesAdvanced Science, EarlyView.
Cell‐sized high‐frequency ultrasound using a lithium niobate transducer, previously ignored in reactive oxygen species (ROS) production, generated intracellular ROS at frequencies higher than conventionally used. The intracellular generation of ROS by cell‐sized high‐frequency ultrasound revealed in this study is expected to be applied to innovative ...
Kotaro Fujishiro   +4 more
wiley   +1 more source

The influence of suit size on performance in ski jumping. Part II: field measurements. [PDF]

open access: yesFront Sports Act Living
Elfmark O   +5 more
europepmc   +1 more source

Physical Modeling of Ski-Jump Spillway to Evaluate Dynamic Pressure [PDF]

open access: gold, 2019
Mehdi Karami Moghadam   +4 more
openalex   +1 more source

Feline‐Inspired Robot Enabled by Combustion‐Driven Actuators for Agile Motion and High‐Payload Obstacle Traversal

open access: yesAdvanced Science, EarlyView.
Inspired by nature's competitive maneuvers, this study introduces a combustion‐driven soft actuator that powers a multi‐modal “Jump‐and‐Fly Catbot” (JFC). With millisecond response, high‐force output (over 70 times its weight) and precise control (error within 5%), the robot can jump, fly, hover, and escape from challenging environments, achieving ...
Hongkuan Ma   +4 more
wiley   +1 more source

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

open access: yesAdvanced Science, EarlyView.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos   +6 more
wiley   +1 more source

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