Results 131 to 140 of about 8,004,238 (365)
Powers of connected graphs and hamiltonicity
Discrete Mathematics, 1984 A graph G is n-hamiltonian (resp. n-edge hamiltonian) if after the removal of any k vertices (resp. edges) with 0\(\leq k\leq n\), the resulting graph is hamiltonian. The kth power of a graph G is the graph having the same vertex-set as G and such that u and v, vertices of \(G^ k\), are adjacent if and only if the distance between u and v in G is at ...
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Advanced Biology, EarlyView.This study investigates the photosensitizing potential of Passiflora cincinnata in Antimicrobial Photodynamic Therapy (aPDT) against skin infection caused by Methicillin‐resistant Staphylococcus aureus (MRSA) in a senescent murine model. The P. cincinnata exhibits antimicrobial activity, with reduced bacterial load, lower leukocyte infiltration, and ...
Caroline Vieira Gonçalves +14 more
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Advanced Biology, EarlyView.Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams +7 more
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Research on power system carbon flow calculation based on graph database and graph computing engine
大数据Firstly, the basic principles of graph database and graph algorithms are introduced, including the data model of graph database, query language, and common graph algorithms.Then, the method of constructing the graph model of the power system is ...
Guangxin ZHU +5 more
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Topology Modeling and Analysis of a Power Grid Network Using a Graph Database
International Journal of Computational Intelligence Systems, 2017 We introduce a new method for storing, modeling, and analyzing power grid data. First, we present an architecture for building the network model for a power grid using the open source graph database Neo4j.
Bowen Kan +5 more
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On powers of m-trapezoid graphs
Discrete Applied Mathematics, 1995 The author introduces \(m\)-trapezoid graphs (\(m\)-TGs) as intersection graphs of \(m\)-trapezoids, where an \(m\)-trapezoid is given by \(m+ 1\) intervals on \(m+ 1\) parallel lines. (The class of 0-TGs is the class of interval graphs.) The main result concerns powers of graphs: If \(G^{k- 1}\) is an \(m\)-TG then \(G^k\) is also an \(m\)-TG.
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Coloring the Power Graph of a Semigroup [PDF]
Graphs and Combinatorics, 2017 note, 4 ...
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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
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Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
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IEEE Open Access Journal of Power and EnergyDynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively analyzing measurement data and capturing the complex interactions and
Seyed Hamed Haghshenas, Mia Naeini
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