Results 131 to 140 of about 9,229,872 (350)
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
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
Using Data Mining for Facilitating User Contributions in the Social Semantic Web
Maryam Ramezani
openalex +1 more source
Does additional support provided through e-mail or SMS in a Web-based Social Marketing program improve children’s food consumption? A Randomized Controlled Trial [PDF]
Natalie Rangelov +3 more
openalex +1 more source
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
Gestión del aprendizaje en Educación Superior y web social
Este trabajo tiene su origen en una propuesta de rasgos e indicadores de calidad, publicado en el trabajo “Evaluación de la calidad en entornos sociales de aprendizaje” (Zapata-Ros, 2011) sobre la integración de sistemas de gestión del aprendizaje y ...
Miguel Zapata-Ros
doaj
Web-Based Social Movements: Mathematical Model of Mobilization
Yulia Lukashina
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
Libraries have been using social media for a long time to meet specific goals, however it is essential to use metrics to know the success or failure reached. The goals that business and libraries pursue in any social media plan are the same: increase confidence in the brand (reputation), achieve user/customer satisfaction (engagement), increase sales ...
openaire +1 more source

