Results 101 to 110 of about 607,451 (374)
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
Quality Improvement of Information Retrieval System Results by Document Classification
In traditional search engines, the most common way to show results for a query is to list documents in order of their computed relevance to the query. However, the ranking is independent of the topic of the document;so the results of different topics are
Mojgan Farhoodi +2 more
doaj
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +1 more source
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Toward Entity-Aware Search [PDF]
As the Web has evolved into a data-rich repository, with the standard "page view," current search engines are becoming increasingly inadequate for a wide range of query tasks.
Cheng, Tao
core
Proteins, Processing, and Properties of Adhesive Fluid Condensates Purified from Mussels
Mussels exhibit an unmatched proficiency for adhering to wet surfaces in salty environments—a remarkable ability that could inspire new biomedical and technical glues. The fluid protein condensates used to form the underwater mussel glue are extracted, reconstituted and characterized with advanced spectroscopy and nanomechanical analysis, revealing ...
Mathieu D. Rivard +8 more
wiley +1 more source
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Digital Cities: Investigating the Image of Lagos as a Fashion City Online Through Web Search Queries
Morolake Dairo
openalex +2 more sources
Novel Functional Materials via 3D Printing by Vat Photopolymerization
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov +3 more
wiley +1 more source
Early warning of COVID-19 hotspots using human mobility and web search query data. [PDF]
Yabe T +3 more
europepmc +1 more source

