Results 11 to 20 of about 579 (217)
On [k]-Roman domination subdivision number of graphs
Sea k≥1 un entero y G un gráfico simple con conjunto de vértices V(G). Sea f una función que asigna etiquetas del conjunto {0,1,2,…,k+1} a los vértices de G. Para un vértice v∈V(G), la vecindad activa AN(v) de v es el conjunto de todos los vértices w adyacentes a v tal que f(w)≥1.
Kazhal Haghparast +3 more
openaire +2 more sources
Weakly connected domination subdivision numbers
A set D of vertices in a graph G = (V, E) is a weakly connected dominating set of G if D is dominating in G and the subgraph weakly induced by D is connected. The weakly connected domination number of G is the minimum cardinality of a weakly connected dominating set of G.
openaire +1 more source
Financial Distress and Its Determinants in Rheumatoid Arthritis
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent prolonged use of expensive disease‐modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or noninflammatory musculoskeletal disease (NIMSKD) completing the ...
Amber Brown Keebler +5 more
wiley +1 more source
Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source
On total domination subdivision numbers of trees
15 pages, 7 ...
Michael A. Henning, Jerzy Topp
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High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé +5 more
wiley +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
Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng +9 more
wiley +1 more source
MagPiezo enables wireless activation of endogenous Piezo1 channels without genetic modification using 19 nm magnetic nanoparticles and low‐intensity magnetic fields. It generates torque forces at the piconewton scale to trigger mechanotransduction in endothelial cells, standing as a novel platform to interrogate and manipulate Piezo1 activity in vitro.
Susel Del Sol‐Fernández +7 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

