Results 201 to 210 of about 683,980 (395)

Artificially Weaved Textile‐like Surface Micromachined Graphene‐Polymer Flexible Bioelectrodes

open access: yesAdvanced Materials Technologies, EarlyView.
This study reports on the engineering of microscale textured surfaces of SU‐8/PMMA polymer composites much like a “weft‐warp” pattern to resemble “artificially‐weaved” textiles. These microstructured surfaces enable conformal layering of functional reduced graphene oxide (rGO), all‐in‐all offering favorable features including remarkable self ...
Seba Nur Alhasan   +6 more
wiley   +1 more source

A Framework for Holistic KLD-based Waveform Design for Multi-User-Multi-Target ISAC Systems [PDF]

open access: yesarXiv
This paper introduces a novel framework aimed at designing integrated waveforms for robust integrated sensing and communication systems. The system model consists of a multiple-input multiple-output (MIMO) base station that simultaneously serves communication user equipments and detects multiple targets using a shared-antenna deployment scenario.
arxiv  

Strain Amplification via Helically Braided Fiber Reinforced Sleeve for Soft Material Energy Harvesting

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents a braided fiber‐reinforced sleeve that amplifies strain in soft materials, enhancing their performance in stretchable devices like sensors and energy harvesters. By reinforcing and elongating encased materials, the sleeve increases the “effective” strain.
Emily Duan   +4 more
wiley   +1 more source

Abnormal CVP waveform

open access: yesSaudi Journal of Anaesthesia, 2013
Arun Maheshwari, Monish S Raut
openaire   +4 more sources

Self‐Folded Corrugated Origami Sensor Based on Triboelectric Nanogenerator for a Smart Cushioning Device

open access: yesAdvanced Materials Technologies, EarlyView.
A corrugated origami TENG (CO‐TENG) soft sensor utilizes paper self‐folding technology to create battery‐free devices by laminating and folding sheet materials. In the object drop test, the voltage generated by CO‐TENG is classified with machine learning to achieve an accuracy of 98.9%, which shows its potential for smart cushioning devices.
Haruki Higoshi   +8 more
wiley   +1 more source

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