Results 191 to 200 of about 11,219,914 (335)
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
Spatiotemporal dynamics of crop water use and groundwater depletion under the winter wheat-summer maize rotation system in Henan Province, China. [PDF]
Zhang Z, Wang J, Ning J, Ti J.
europepmc +1 more source
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To +5 more
wiley +1 more source
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
A Review of Major Compounds in Bilberry (Vaccinium myrtillus L.) Fruits and Leaves: Isolation, Purification, and Their Antiaging Effects. [PDF]
Patra JK, Shin HS, Das G.
europepmc +1 more source

