Results 121 to 130 of about 243,973 (317)
Next Generation Modeling of Glioblastoma Progression: Diffusing Through Time and Brain
Annalen der Physik, EarlyView.Glioblastoma (GBM) is a fatal brain tumor that will inevitably recur following surgical resection. Early mathematical tumor growth models used the reaction‐diffusion equation to describe the proliferation and invasion of tumor spread. However, with increasingly advanced neuroimaging technology, diffusion tensor imaging data has more recently been ...
Francesca M. Cozzi +5 more
wiley +1 more source
Algorithm 297: Eigenvalues and Eigenvectors of the symmetric system [PDF]
, 1967 John C. Boothroyd
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Dispersion of First Sound in a Weakly Interacting Ultracold Fermi Liquid
Annalen der Physik, EarlyView.The weak‐interaction, low‐temperature region of the phase diagram of a Fermi gas the so‐called Fermi liquid regime, which has been somewhat overlooked in ultracold gases‐is investigated. Precise and measurable predictions are presented for the viscosity and dispersion of first sound to leading order in the scattering length.
Thomas Repplinger +4 more
wiley +1 more source
Impact of Number of Noise Eigenvectors Used on the Resolution Probability of MUSIC
IEEE Access, 2019 The MUltiple SIgnal Classification (MUSIC) algorithm is a well-known eigenanalysis technique and has been studied extensively. The algorithm relies on accurate partitioning of the eigenvectors of the spatial correlation matrix between the signal (i.e ...
Ashwin Bhobani Baral, Murat Torlak
doaj +1 more source
Eigenvalues and eigenvectors of Hilbert matrices of order 3 through 10 [PDF]
, 1967 Henry E. Fettis, James C. Caslin
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Graph partitioning by Eigenvectors
Linear Algebra and its Applications, 1988 Given a graph G on n vertices and \(z\in R^ n\), we say that a vertex of G is positive, nonnegative, null, etc. if the corresponding entry of z has that property. For z such that Az\(\geq \alpha z\) (A is the adjacency matrix of G) the number of components of the subgraph induced by positive vertices is bounded.
openaire +3 more sources
Quantitative Analysis of Fluorescent Sensor Arrays
Analysis &Sensing, EarlyView.Fluorescent sensor arrays have great potential for the quantification of analytes in complex systems. Herein, statistical multivariate techniques and deep learning models to provide quantitative information from such arrays are reviewed. Fluorescent sensor arrays address the limitations of a single sensor by leveraging multiple sensing elements to ...
Karandeep Grover +3 more
wiley +1 more source
Eigenvector Analyses Show That Birch And Pine Have Similar Form In Sweden And British Columbia [PDF]
, 1965 Jöran Fries
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Asymptotic Inference for Eigenvectors
The Annals of Statistics, 1981 Abstract : Asymptotic procedures are given for testing certain hypotheses concerning eigenvectors and for constructing confidence regions for eigenvectors. These asymptotic procedures are derived under fairly general conditions on the estimates of the matrix whose eigenvectors are of interest. Applications of the general results to principal components
openaire +4 more sources
Journal of the American Oil Chemists' Society, EarlyView.Workflow for biodiesel water content assessment using Raman spectroscopy and machine learning models. ABSTRACT A combination of Raman spectroscopy and multivariate modeling was applied to build classification models to assess water content in soybean biodiesel.
Maycom Cezar Valeriano +3 more
wiley +1 more source