Results 261 to 270 of about 1,505,822 (375)
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan +14 more
wiley +1 more source
Time-dependent cortical responses to siesta disruption in male mice. [PDF]
Ding J, Shibata S, Kubo T, Tahara Y.
europepmc +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Circadian Rhythm Dysfunction in Neurodegenerative Diseases: A Bidirectional Perspective and Therapeutic Potential. [PDF]
Namgyal D, Lim CS.
europepmc +1 more source
Liquid Metals as Initiators of Free‐Radical Polymerization of Hydrogels: A Perspective
Gallium‐based liquid metals initiate free radical polymerization to form hydrogels without the use of toxic molecular initiators. In addition to initiating polymerization, they can act as crosslinkers, yielding softer, more extensible, and tougher hydrogels than those formed with conventional initiators.
Syed Ahmed Jaseem +8 more
wiley +1 more source
Device Integration Technology for Practical Flexible Electronics Systems
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +1 more source
Exercise and sleep health in college students: Efficacy, mechanisms, and implications for practice. [PDF]
Fei LL +4 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Effects of Heat Exposure on Kynurenine Pathway Metabolism-Comparison Between Exertional and Exogenous Heating of the Human Body. [PDF]
Louvrou V +6 more
europepmc +1 more source

