Results 91 to 100 of about 27,057,635 (304)
Finite Orthogonal M Matrix Polynomials
SymmetryIn this study, we aim to construct a finite set of orthogonal matrix polynomials for the first time, along with their finite orthogonality, matrix differential equation, Rodrigues’ formula, several recurrence relations including three-term relation, forward and backward shift operators, generating functions, integral representation and their relation ...
openaire +3 more sources
Lysyl oxidase (LOX)‐mediated remodeling of the extracellular matrix
FEBS Letters, EarlyView.The lysyl oxidase (LOX) family of enzymes drives extracellular matrix remodeling by oxidizing collagen, elastin, and fibronectin, promoting covalent cross‐link formation. This activity regulates tissue architecture and mechanical properties, while its dysregulation contributes to fibrosis, cardiovascular disease, glaucoma, connective tissue disorders ...
Fernando Rodríguez‐Pascual +3 more
wiley +1 more source
The K-Step Spatial Sign Covariance Matrix [PDF]
The Sign Covariance Matrix is an orthogonal equivariant estimator of mul- tivariate scale. It is often used as an easy-to-compute and highly robust estimator.
Yadine, A., Croux, C., Dehon, C.
core
Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis
FEBS Letters, EarlyView.This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng +8 more
wiley +1 more source
A generalization of Tyler's M-estimators to the case of incomplete data [PDF]
Many different robust estimation approaches for the covariance or shape matrix of multivariate data have been established until today. Tyler's M-estimator has been recognized as the 'most robust' M-estimator for the shape matrix of elliptically symmetric
Jaekel, Uwe, Frahm, Gabriel
core
Multiplicative maps on generalized \(n\)-matrix rings
CuboLet \(\mathfrak{R}\) and \(\mathfrak{R}'\) be two associative rings (not necessarily with identity elements). A bijective map \(\varphi\) of \(\mathfrak{R}\) onto \(\mathfrak{R}'\) is called an \textit{\(m\)-multiplicative isomorphism} if {\(\varphi (x_ ...
Aisha Jabeen, Bruno L. M. Ferreira
doaj +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
FEBS Letters, EarlyView.The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
Fuzzy Approximate Solution of Positive Fully Fuzzy Linear Matrix Equations
Journal of Applied Mathematics, 2013 The fuzzy matrix equations A~⊗X~⊗B~=C~ in which A~, B~, and C~ are m×m, n×n, and m×n nonnegative LR fuzzy numbers matrices, respectively, are investigated.
Xiaobin Guo, Dequan Shang
doaj +1 more source
FEBS Letters, EarlyView.Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana +3 more
wiley +1 more source
On generating correlated random variables with a given valid or invalid Correlation matrix [PDF]
In simulation we often have to generate correlated random variables by giving a reference intercorrelation matrix, R or Q. The matrix R is positive definite and a valid correlation matrix.
Mishra, SK
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