Results 211 to 220 of about 1,264,524 (365)

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

Advanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan, Thomas D. Small, Gregory F. Metha, Mahmoud Adel Hamza, Thomas J. O'Dea, Yideng Shen, Cameron J. Shearer   +6 more
wiley   +1 more source

Defining dyadic cancer pain concordance using participant-initiated interactions with a remote health monitoring system. [PDF]

JAMIA Open
Ostovari M, Crimp N, Ratcliffe SJ, LeBaron V.   +3 more
europepmc   +1 more source

High Performance Flexible Optical Fiber Sensor Enabled by Er3+/Yb3+ Co‐Doped near Pure‐Green Upconversion Emission Phosphor for Implantable Temperature Sensing

Advanced Materials Interfaces, EarlyView.
A superior double‐cladding optical fiber temperature sensor (OFTS) is fabricated by utilizing a bright and stable near‐pure green UC phosphor NaLu(WO4)2:Er3+/Yb3+ as sensing material. The OFTS exhibits a high temperature measurement accuracy of 0.155°C at 303 K, excellent measuring repeatability and chemical stability, along with strong resistance to ...
Jing Lyu, Sijie Su, Xin Wang, Enhai Song, Qinyuan Zhang   +4 more
wiley   +1 more source

Reimagining falls prevention with insights from systems mapping on the use of millimetre-wave radar for remote health monitoring. [PDF]

Sci Rep
Dogu E, Paredes JA, Alomainy A, Jones JM, Rajab KZ.   +4 more
europepmc   +1 more source

Dynamic self-adaptive remote health monitoring system for diabetics

, 2012
Myung-kyung Suh, Tannaz Moin, Jonathan Woodbridge, Minxuan Lan, Hassan Ghasemzadeh, Alex Bui, Seyed‐Ahmad Ahmadi, Majid Sarrafzadeh   +7 more
openalex   +1 more source

Printed Interconnects for Heterogeneous Systems Integration on Flexible Substrates

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
Key components (sensors, energy devices, communication devices, computing chips, and interconnects) of flexible hybrid electronic (FHE) system connected via conductive printed metal tracks. The figure in the insets shows out‐of‐plane printed interconnects providing opportunities for lithography‐free formation of VIAs, in‐plane access of UTCs pads, and ...
Abhishek Singh Dahiya, Adamos Christou, Sihang Ma, Ravinder Dahiya   +3 more
wiley   +1 more source

"Less words, more pictures": creating and sharing data visualizations from a remote health monitoring system with clinicians to improve cancer pain management. [PDF]

Front Digit Health
LeBaron V, Crimp N, Homdee N, Reed K, Petermann V, Ashe W, Blackhall L, Lewis B.   +7 more
europepmc   +1 more source

WSN4QoL: WSNs for remote patient monitoring in e-Health applications

, 2016
Stefano Tennina, Manuel Filipe Santos, Agapi Mesοdiakaki, Prodromos‐Vasileios Mekikis, Elli Kartsakli, Angelos Antonopoulos, Marco Di Renzo, Athanasios Stavridis, Fabio Graziosi, Luis Alonso, C. Verikoukis   +10 more
openalex   +2 more sources

Providing ‘the bigger picture’: benefits and feasibility of integrating remote monitoring from smartphones into the electronic health record [PDF]

, 2019
Lynn Austin, Charlotte A Sharp, Sabine N van der Veer, Matthew Machin, John F. Humphreys, Peter Mellor, Jill Mccarthy, John Ainsworth, Caroline Sanders, William G Dixon   +9 more
openalex   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source