Results 141 to 150 of about 563,360 (339)
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
The importance of developing educational web content for users with disabilities, in particular, visual, hearing, motor and cognitive impairments, is shown.
E. S. Piskun, U. A. Maksimchuk
doaj +1 more source
Supporting navigation accessibility requirements in Web engineering methods [PDF]
Web accessibility not only guarantees universal user access to the Web, but also provides interesting benefits for Web development. In order to achieve the goal of Web accessibility, an interesting approach is the incorporation of accessibility ...
Martínez, Paloma +3 more
core +2 more sources
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source
A Web-accessible tutorial for PsyScope based on classic experiments in human cognition [PDF]
Penny L. Yee, Jonathan Vaughan
openalex +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +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
A Holistic Decision Support Environment for Web Accessibility [PDF]
Yehya Mohamad +4 more
openalex +1 more source
Additional file 4 of Optimized SQE atomic charges for peptides accessible via a web application
Ondřej Schindler +5 more
openalex +1 more source

