Results 21 to 30 of about 488,412 (167)

Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients

Bioengineering, 2023
Gait disturbances are common manifestations of Parkinson’s disease (PD), with unmet therapeutic needs. Inertial measurement units (IMUs) are capable of monitoring gait, but they lack neurophysiological information that may be crucial for studying gait ...
Stefan Haufe, Ioannis U. Isaias, Franziska Pellegrini, Chiara Palmisano   +3 more
doaj   +1 more source

The group inverse of circulant matrices depending on four parameters

Special Matrices, 2021
Explicit expressions for the coefficients of the group inverse of a circulant matrix depending on four complex parameters are analytically derived. The computation of the entries of the group inverse are now reduced to the evaluation of a polynomial ...
Carmona A., Encinas A.M., Jimenez M.J., Mitjana M.   +3 more
doaj   +1 more source

Resistance Distance and Kirchhoff Index of $Q$ -Double Join Graphs

IEEE Access, 2019
Let Q(G) be the graph derived from G by inserting a new vertex into every edge of G and by connecting edges of these new vertices that are on adjacent edges of G, and Q-double join of G, G1 and G2 denoted by GQ v{G1, G2}, is the graph derived from Q(G ...
Weizhong Wang, Tingyan Ma, Jia-Bao Liu
doaj   +1 more source

M-matrix and inverse M-matrix extensions

Special Matrices, 2020
A class of matrices that simultaneously generalizes the M-matrices and the inverse M-matrices is brought forward and its properties are reviewed. It is interesting to see how this class bridges the properties of the matrices it generalizes and provides a
McDonald J.J., Nandi R., Sivakumar K.C., Sushmitha P., Tsatsomeros M.J., Wendler Enzo, Wendler Megan   +6 more
doaj   +1 more source

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework

NeuroImage, 2021
Methods for electro- or magnetoencephalography (EEG/MEG) based brain source imaging (BSI) using sparse Bayesian learning (SBL) have been demonstrated to achieve excellent performance in situations with low numbers of distinct active sources, such as ...
Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe   +5 more
doaj   +1 more source

Trace inequalities for positive semidefinite matrices

Discussiones Mathematicae - General Algebra and Applications, 2017
Certain trace inequalities for positive definite matrices are generalized for positive semidefinite matrices using the notion of the group generalized inverse.
Choudhury Projesh Nath, Sivakumar K.C.
doaj   +1 more source

Weak group inverse

Open Mathematics, 2018
In this paper, we introduce the weak group inverse (called as the WG inverse in the present paper) for square complex matrices of an arbitrary index, and give some of its characterizations and properties.
Wang Hongxing, Chen Jianlong
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Further characterizations of the weak group inverse of matrices and the weak group matrix

AIMS Mathematics, 2021
This paper is devoted to consider some new characteristics and properties of the weak group inverse and the weak group matrix. First, we characterize the weak group inverse of a square matrix based on its range space and null space.
Hui Yan, Hongxing Wang, Kezheng Zuo, Yang Chen   +3 more
doaj   +1 more source

Allele-Specific, Inverse-PCR Amplification for Genotyping MN Blood Group

BioTechniques, 1998
Zhi-Xiang Li, Sumitaka Yoshimura, Tetsuya Kobayashi, Atsushi Akane   +3 more
doaj   +2 more sources

Theoretical and Computational Methods to Resistance Distances in Novel Graphs Operations

IEEE Access, 2019
Motivated by the recent research on the computation of resistance distance, this paper aims to compute resistance distance in two classes of graphs, which are generated by three graphs.
Li Zhang, Jia-Bao Liu
doaj   +1 more source