Results 211 to 220 of about 4,485 (249)
Differential ROI referencing in QSM reduces subject‐specific offsets and improves group‐discrimination sensitivity, enabling detection of PD‐related susceptibility differences (SN–PU). ABSTRACT Quantitative susceptibility mapping (QSM) measures the intrinsic magnetic susceptibility of tissues.
Tae Hyun Hwang +3 more
wiley +1 more source
ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk +2 more
wiley +1 more source
Direct Evidence for a Carbon–Carbon One‐Electron σ‐Bond, or a Weak Carbon–Carbon Interaction?
Experiments reporting the existence of a single‐electron C─C σ bond in a synthesized stable radical cation open up new perspectives in the study of the existence of chemical bonds. However, the supporting theoretical results at density functional theory cost do not seem to fully support this evidence.
Costantino Zazza +4 more
wiley +1 more source
B16C16 and Si16C16 nanocages were investigated via DFT for sensing transformer oil fault gases (C2H4, CO, H2S). BC nanocages exhibit stronger adsorption, reduced energy gaps, enhanced electrical conductivity, and positive sensing responses compared to SiC. NCI and QTAIM analyses reveal covalent and partially covalent interactions.
Khalid Abdullah Alrashidi +3 more
wiley +1 more source
The perturbed laplacian matrix of a graph [PDF]
For a graph G, we define its perturbed Laplacian matrix as D−A(G) where A(G) is the adjacency matrix of G and D is an arbitrary diagonal matrix. Both the Laplacian matrix and the negative of the adjacency matrix are special instances of the perturbed Laplacian.
R B Bapat, Sukanta Pati
exaly +4 more sources
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On Determinant of Laplacian Matrix and Signless Laplacian Matrix of a Simple Graph
Lecture Notes in Computer Science, 2017In a simple graph, Laplacian matrix and signless Laplacian matrix are derived from both adjacency matrix and degree matrix. Although, determinant of Laplacian matrix is always zero, yet we express it using only the adjacency matrix and square of its adjacency matrix.
Olayiwola Babarinsa +2 more
exaly +2 more sources
Hermitian normalized Laplacian matrix for directed networks
Information Sciences, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guihai Yu +2 more
exaly +3 more sources
Hermitian Laplacian matrix and positive of mixed graphs
Applied Mathematics and Computation, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guihai Yu
exaly +3 more sources
The Laplacian matrix in chemistry
Journal of Chemical Information and Computer Sciences, 1994The Laplacian matrix, its spectrum, and its polynomial are discussed. An algorithm for computing the number of spanning trees of a polycyclic graph, based on the corresponding Laplacian spectrum, is outlined. Also, a technique using the Le Verrier-Faddeev-Frame method for computing the Laplacian polynomial of a graph is detailed.
Nenad Trinajstic +5 more
openaire +3 more sources
Orthogonal Eigenvector Matrix of the Laplacian
2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2015The orthogonal eigenvector matrix Z of the Laplacian matrix of a graph with N nodes is studied rather than its companion X of the adjacency matrix, because for the Laplacian matrix, the eigenvector matrix Z corresponds to the adjacency companion X of a regular graph, whose properties are easier.
Xiangrong Wang 0002, Piet Van Mieghem
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