Results 251 to 260 of about 94,836 (349)

An automated algorithm for the detection of cortical interruptions on high resolution peripheral quantitative computed tomography images of finger joints

open access: gold, 2017
M. Peters   +9 more
openalex   +2 more sources

Morphology‐Driven Electromechanical Performance of Graphene‐Based Electrofluids for Emerging Soft Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
Here, two types of electronic components are presented: a strain sensor and a stable resistor. Electrofluids properties are tuned to match these behaviors by selecting the type of filler. We show that the morphology of the filler together with its oxygen content are the key parameters to create electrical and mechanical networks with distinct responses.
Dominik S. Schmidt   +4 more
wiley   +1 more source

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang   +4 more
wiley   +1 more source

Fire performance of hardwood finger joints [PDF]

open access: green, 2016
Chee Beng Ong   +5 more
openalex  

Metacarpophalangeal joint (finger)

open access: yes, 2019
Kieran Kusel   +2 more
openaire   +1 more source

Self‐Soldering, Stretchable and Self‐Healing Liquid Metal Elastomer Interconnections for Soft Electronics Platforms

open access: yesAdvanced Materials Technologies, EarlyView.
A self‐healing and electrically conductive liquid metal elastomer enables robust self‐soldering of surface mount devices for soft electronics. Photothermally activated conductive pathways, strong pressure‐sensitive adhesion, and stable package‐integrated contacts provide high conductivity and extreme stretchability.
Su Thiri San   +5 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
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

Biomechanics of Finger Joint

open access: yesThe Japanese Journal of Rehabilitation Medicine, 2016
openaire   +2 more sources

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