Results 191 to 200 of about 2,160,503 (336)
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
On De Rham homotopy theory for plane algebraic curves and their singularities
Rainer Kaenders
openalex +1 more source
Singularities with G_m-action and the log minimal model program for $\bar{M}_g$ [PDF]
Jarod Alper +2 more
openalex +1 more source
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
Krein formula and S-matrix for Euclidean Surfaces with Conical Singularities
Luc Hillairet, Alexey Kokotov
openalex +1 more source
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani +13 more
wiley +1 more source
She or He? Source of Errors in L2 Production of 3rd Person Singular Pronouns by Chinese Speakers of English. [PDF]
Li J +5 more
europepmc +1 more source
4d N=2 SCFT and singularity theory Part III: Rigid singularity [PDF]
Bingyi Chen +4 more
openalex +1 more source
Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon +7 more
wiley +1 more source

