Results 61 to 70 of about 13,572 (222)
Network Coherence in a Family of Book Graphs
Frontiers in Physics, 2020 In this paper, we study network coherence characterizing the consensus behaviors with additive noise in a family of book graphs. It is shown that the network coherence is determined by the eigenvalues of the Laplacian matrix.
Jing Chen, Yifan Li, Weigang Sun
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Advanced Robotics Research, EarlyView.Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
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On minors of the compound matrix of a Laplacian
Linear Algebra and its Applications, 2013 Abstract Let L be an n × n matrix with zero row and column sums, n ⩾ 3 . We obtain a formula for any minor of the ( n − 2 ) -th compound of L. An application to counting spanning trees extending a given forest is given.
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Permanent of the Laplacian matrix of trees and bipartite graphs
Discrete Mathematics, 1984 Let \(G=(V,E)\) be a graph without loops and multiple edges with vertex set \(V=\{v_ 1,...,v_ n\}\) and edge set E. Suppose the degree of vertex \(v_ i\) equals \(d_ i\) for \(i=1,...,n\) and let \(D=D(G)\) be the diagonal matrix whose (i,i)-entry is \(d_ i\).
John L. Goldwasser, Richard A. Brualdi
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Painting Peptides With Antimicrobial Potency Through Deep Reinforcement Learning
Advanced Science, EarlyView.AMPainter is a powerful design model for ’painting’ the antimicrobial potency on any given peptide sequence, based on the strategy of virtual directed evolution and deep reinforcement learning. Abstract In the post‐antibiotic era, antimicrobial peptides (AMPs) are considered ideal drug candidates because of their lower likelihood of inducing resistance.
Ruihan Dong, Qiushi Cao, Chen Song
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A Note on the Laplacian Energy of the Power Graph of a Finite Cyclic Group
Sakarya Üniversitesi Fen Bilimleri Enstitüsü DergisiIn this study, the Laplacian matrix concept for the power graph of a finite cyclic group is redefined by considering the block matrix structure. Then, with the help of the eigenvalues of the Laplacian matrix in question, the concept of Laplacian energy ...
Şerife Büyükköse +1 more
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Advanced Science, EarlyView.Here, a microfluidic‐based robotic lab‐on‐a‐chip (LoC) device is presented for automated, continuous‐flow investigation and manipulation of single pollen tube growth under precisely controlled chemical gradients. This closed‐loop system streamlines data collection and analysis while enhancing experimental precision compared to manual methods ...
Jiawei Zhu +10 more
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Moment-Based Spectral Analysis of Large-Scale Generalized Random Graphs
IEEE Access, 2017 This paper investigates the spectra of the adjacency matrix and Laplacian matrix for an artificial complex network model-the generalized random graph. We deduce explicit expressions for the first four asymptotic spectral moments of the adjacency matrix ...
Qun Liu, Zhishan Dong, En Wang
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Enhancing Spatial Transcriptomics via Spatially Constrained Matrix Decomposition with EDGES
Advanced Science, EarlyView.Imaging‐based spatial transcriptomics technologies are currently limited by their restricted gene detection capacity and low measurement accuracy. Moreover, the insufficient integration of spatial context and single‐cell reference data poses a significant challenge for comprehensive data analysis.
Jinyue Zhao +5 more
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Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis
Advanced Science, EarlyView.In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
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