Results 211 to 220 of about 1,996,670 (371)
Shellular materials form spontaneously by dip coating the primitive triply periodic minimal surface (TPMS) wireframe in an aqueous solution of lyotropic liquid crystalline graphene oxide (GO) nanosheets mixed with polymers. Regulated by surface tension, GO nanosheets align on the polymer soap film as the stress builds up during drying.
Yinding Chi+9 more
wiley +1 more source
Second generation of the World Wide Web (WWW) and education
Various technologies are useful for the integration in teaching/learning process: students are motivated to learn, teachers can visually presente material and easier to organize teamwork.
Anita Juškevičienė
doaj
Supporting Collaborative Information Sharing with the World Wide Web: The BSCW Shared Workspace System [PDF]
Richard Bentley+3 more
openalex +1 more source
Web mining: information and pattern discovery on the World Wide Web
R. Cooley, B. Mobasher, J. Srivastava
semanticscholar +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
Digital libraries and World Wide Web sites and page persistence.
Web pages and Web sites, some argue, can either be collected as elements of digital or hybrid libraries, or, as others would have it, the WWW is itself a library. We begin with the assumption that Web pages and Web sites can be collected and categorized.
Wallace Koehler
doaj
Web Alert: Vaccines against infectious agents: An annotated selection of World Wide Web sites relevant to the topics in microbial biotechnology. [PDF]
Wackett LP.
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