Results 71 to 80 of about 592,640 (317)
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
Exponential Splines and Pseudo-Splines: Generation versus reproduction of exponential polynomials
Subdivision schemes are iterative methods for the design of smooth curves and surfaces. Any linear subdivision scheme can be identified by a sequence of Laurent polynomials, also called subdivision symbols, which describe the linear rules determining ...
Conti, Costanza +2 more
core
New Acceleration of Nearly Optimal Univariate Polynomial Root-findERS
Univariate polynomial root-finding has been studied for four millennia and is still the subject of intensive research. Hundreds of efficient algorithms for this task have been proposed. Two of them are nearly optimal.
Pan, Victor Y.
core
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum +5 more
wiley +1 more source
Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann +3 more
wiley +1 more source
Microfluidic Modeling of Macrophage‐Induced Cardiac Inflammation Using NF‐κB Reporter Cardiomyocytes
A cardiac inflammation model was developed to enable real‐time analysis of macrophage‐cardiomyocyte interactions using NF‐κB‐reporter cardiomyocytes and a microfluidic co‐culture system. A MATLAB‐based model was implemented to optimize cell density and medium resupply based on TNFα diffusion kinetics. Activation thresholds and stress responses in NF‐κB‐
Chao Liu +6 more
wiley +1 more source
Stratification of the state of Santa Catarina in macro-environments for bean cultivation [PDF]
The purpose of this study was to suggest a division of the State of Santa Catarina in macro-environments forexperimentation and bean production. Data of the traits grain yield and plant cycle were evaluated in 10 common beangenotypes grown in nine ...
Juliano Garcia Bertoldo +7 more
doaj
Excluding subdivisions of bounded degree graphs
Let $H$ be a fixed graph. What can be said about graphs $G$ that have no subgraph isomorphic to a subdivision of $H$? Grohe and Marx proved that such graphs $G$ satisfy a certain structure theorem that is not satisfied by graphs that contain a ...
Liu, Chun-Hung, Thomas, Robin
core
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source
Subdivision-based homotopy equivalence of digital circles
A direct translation of the notion of homotopy equivalence from algebraic topology to digital images leads to a much more rigid definition in the context of digital topology. This results in two digital circles of different radii being not homotopic.
Samia Ashraf +2 more
doaj +1 more source

