Results 151 to 160 of about 126,479 (268)
Inertia-driven amphibious robot with asymmetric microundulatory fin arrays. [PDF]
Tang L +6 more
europepmc +1 more source
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
Optimistic Value Model of Uncertain Linear Quadratic Optimal Control with Jump
Liubao Deng, Yuefen Chen
openalex +1 more source
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]
Elfmark O +5 more
europepmc +1 more source
Physical Modeling of Ski-Jump Spillway to Evaluate Dynamic Pressure [PDF]
Mehdi Karami Moghadam +4 more
openalex +1 more source
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
Post-activation potentiation enhancement induction strategies with different rest intervals on jump performance: a meta-analysis. [PDF]
Zhou Y, Zhang X, Wang J.
europepmc +1 more source
Pure -Jump Levy Processes and Self-decomposability in Financial Modeling
Ömer Önalan
openalex +2 more sources
Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors
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

