Results 181 to 190 of about 11,860,826 (379)
This work presents the first example of multifunctional protein eutectogels based on a tannic acid: betaine low‐transition‐temperature mixture, exhibiting elastomeric behavior, strong adhesion to various substrates, including biological tissues, and notable anti‐inflammatory properties derived from the natural polyphenol and zwitterion.
Sergio Martin‐Saldaña +8 more
wiley +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
Cognitive traveling in digital space: from keyword search through exploratory information seeking
Navrat Pavol
doaj +1 more source
Co-Designing a Digital Solution for Decreasing Loneliness and Social Isolation Among Older People in Sweden: Explorative Study. [PDF]
Eklund C +4 more
europepmc +1 more source
A slippery coating with exceptional anti‐biofouling performance is developed using biocompatible materials for oesophagus stents. Host‐guest inclusion complex formation capabilities of FDA‐approved supramolecules, cyclodextrins are exploited, which significantly enhances the stability of the surface.
Jianhui Zhang +7 more
wiley +1 more source
Which web to invade? Argyrodine kleptoparasites differentiate amongst architecturally different host webs. [PDF]
Agnarsson I +10 more
europepmc +1 more source
Web-Based Social Movements: Mathematical Model of Mobilization
Yulia Lukashina
openalex +1 more source
Review of Extracting Information From the Social Web for Health Personalization [PDF]
Luis Fernández-Luque +2 more
openalex +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

