Results 191 to 200 of about 22,801 (289)
Evaluation of proximal ulna morphology: a systematic review of varus angulation of the proximal ulna. [PDF]
Khin CM +4 more
europepmc +1 more source
Reliable Evaluation of Na‐Ion Battery Materials: Eliminating Na‐Metal Distortions
Na metal is highly reactive in carbonate electrolytes, forming unstable interphases and triggering parasitic reactions that distort measurements and undermine reproducibility. To enable accurate evaluation of materials for Na‑ion batteries, this work suggests that NASICON‑type counter electrodes provide a practical and stable platform for distortion ...
Jinkwang Hwang +9 more
wiley +1 more source
Direction of screw insertion for internal fixation plate in distal femoral osteotomy: Evaluation using axial computer tomography imaging. [PDF]
Kawashima F +5 more
europepmc +1 more source
On a Problem Concerning Coincidence of Tangent Planes
application/pdf ...
openaire
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
A Stereolithography Appearance-Based Ultra-Wideband Wide-Beam Dielectric Resonator Antenna. [PDF]
Song C +6 more
europepmc +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Two-Antenna Gain Measurement Method Using Two UAVs. [PDF]
Kandregula VR +7 more
europepmc +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source

