Results 261 to 270 of about 3,526,962 (389)

Multifunctional Protein Eutectogels Based on Polyphenolic: Zwitterionic Low‐Transition‐Temperature Mixtures

open access: yesAdvanced Functional Materials, EarlyView.
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

Isodon rubescens research literature based on Web of Science database for visual analysis: A review. [PDF]

open access: yesMedicine (Baltimore)
Xu S   +7 more
europepmc   +1 more source

Liquid Metals as Initiators of Free‐Radical Polymerization of Hydrogels: A Perspective

open access: yesAdvanced Functional Materials, EarlyView.
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

A Comparison of OpenAlex With Scopus and Web of Science for Tracking Scholarly Nursing Literature. [PDF]

open access: yesSAGE Open Nurs
Mezquita B   +3 more
europepmc   +1 more source

Host‐Guest Inclusion Chemistry From Supramolecular Architecture Enabling Anti‐Biofouling Surfaces for Oesophagus Stents

open access: yesAdvanced Functional Materials, EarlyView.
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

Editorial 2024

open access: yesRoyal Society Open Science
Wendy Hall
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
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

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