Results 211 to 220 of about 300,731 (292)
Motion score for spectral quality control of optoacoustic-ultrasound data. [PDF]
Kukačka J +3 more
europepmc +1 more source
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
The Effects of Social Networks and Digital Technology on Non-suicidal Self-Injury in Children and Adolescents: A Systematic Review. [PDF]
Galindo D +4 more
europepmc +1 more source
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak +3 more
wiley +1 more source
Effect of transverse magnetic field on hot electron and ion fluxes generated by laser interactions with disc-double-coil targets. [PDF]
Pisarczyk T +30 more
europepmc +1 more source
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk +7 more
wiley +1 more source
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
wiley +1 more source
A response to the Vancouver call for action: addressing the needs of early career scientists in radiation protection. [PDF]
Degenhardt ÄL +9 more
europepmc +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
Perceived barriers for accessing international research funding among Latin American researchers. [PDF]
Formoso J +6 more
europepmc +1 more source

