Results 181 to 190 of about 1,677,306 (298)
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Effect of Femoral Head Radial Clearance on Acetabular Cartilage Degradation in Hip Hemiarthroplasty: An In Vitro Anatomical Simulator Study. [PDF]
Leonardo Diaz R +3 more
europepmc +1 more source
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang +9 more
wiley +1 more source
Effects of blood flow restriction combined with low-load resistance training on obstacle-crossing performance and lower limb function in older adults. [PDF]
Li Z, Liu Y, Gao F, Liu N.
europepmc +1 more source
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez +9 more
wiley +1 more source
Acetabular Giant Cell Tumor Presenting with Protrusio Acetabuli: A Rare Case Report. [PDF]
Singh A +5 more
europepmc +1 more source
ERROR ANALYSIS OF ROBOT JOINT CLEARANCE
openaire +1 more source
Joint strength of pipe joint specimen for rocket nozzle skirt and clearance at joint
Ikeshoji, Toshi-Taka +2 more
openaire +1 more source
Stress Measurement of Brazed Joints with Joint Clearance in the Range of 0.30 to 0.35mm
Hiroshi IZUI +3 more
openaire +2 more sources
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source

