Results 51 to 60 of about 88,228 (240)
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida +16 more
wiley +1 more source
This study presents a microfluidic brain microvascular network‐on‐chip (BMVasChip) to investigate endothelial barrier dysfunction caused by flavivirus non‐structural protein 1 (NS1), including virus‐ and time‐dependent vascular damage, leakiness, and dysfunction.
Monika Rajput +5 more
wiley +1 more source
Spinal cord injury (SCI) poses significant challenges for regeneration due to a series of secondary injury mechanisms. How to use biomaterial approach to target the failed regeneration after SCI remains a critical challenge. This review systematically evaluates current strategies to optimize biomaterial topographies for neurite outgrowth, axonal ...
Wei Xu +7 more
wiley +1 more source
Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation
Micro/nanofiber porous materials have engendered great interest in the thermal insulation field. Herein, the structural designs, fabrication techniques, and applications of the micro/nanofiber thermal insulation materials are systematically summarized.
Xiaobao Gong +5 more
wiley +1 more source
On the maximal Aa -index of graphs with a prescribed number of edges
For any real number α∈[0,1]\alpha \in \left[\mathrm{0,1}], by the Aα{A}_{\alpha }-matrix of a graph GG, we mean the matrix Aα(G)=αD(G)+(1−α)A(G){A}_{\alpha }\left(G)=\alpha D\left(G)+\left(1-\alpha )A\left(G), where A(G)A\left(G) and D(G)D\left(G) are ...
Chang Ting-Chung, Tam Bit-Shun
doaj +1 more source
The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe +9 more
wiley +1 more source
Inverse of $α$-Hermitian Adjacency Matrix of a Unicyclic Bipartite Graph
Mohammad Abudayah +2 more
openalex +2 more sources
Role of Adjacency Matrix & Adjacency List in Graph Theory
Today, graph theory has become major instrument that is used in an array of fields. Some of these include electrical engineering, mathematical research, sociology, economics, computer programming/networking, business administration and marketing. Indeed,
Harmanjit Singh, Richa Sharma
semanticscholar +1 more source
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy +3 more
wiley +1 more source
𝕮-inverse of graphs and mixed graphs
This article introduces a generalization of the concept of inverse graphs applicable to both graphs and mixed graphs. Given a graph GG with adjacency matrix A(G)A\left(G), the inverse graph G−1{G}^{-1} is defined such that its adjacency matrix is similar
Alomari Omar +2 more
doaj +1 more source

