Results 121 to 130 of about 1,396,823 (294)
On an inequality for the Hadamard product of an M-matrix and its inverse
AbstractWhen A∈Rn×n is an M-matrix we prove the following inequality:q(A∘A−1)=1forn=2,>2nforn>2,where A∘B is the Hadamard product of two matrices A and B, q(B)=[p(B−1)]−1 and p(C) denotes the Perron eigenvalue of a nonnegative matrix C. This also gives a positive answer to the conjecture posed by Fiedler and Markham.
openaire +2 more sources
Understanding and measuring mechanical signals in the tumor stroma
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz+3 more
wiley +1 more source
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
New inequalities on the Fan product of M-matrices
This paper focuses on the minimum eigenvalue involving the Fan product. By utilizing the Hölder inequality and the classic eigenvalue inclusion theorem, we introduce two novel lower bounds for τ ( A 1 ⋆ A 2 ) $\tau \left ( A_{1}\star A_{2} \right ...
Qin Zhong, Na Li, Chunlan Li
doaj +1 more source
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik+3 more
wiley +1 more source
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang+9 more
wiley +1 more source
Matrix fields over the integers modulo m
Jacob T. B. Beard, Robert M. McConnel
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Accurate computation of the smallest eigenvalue of a diagonally dominant $M$-matrix [PDF]
Attahiru Sule Alfa+2 more
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M-matrix-based stability conditions for genetic regulatory networks with time-varying delays and noise perturbations. [PDF]
Tian LP, Shi ZK, Liu LZ, Wu FX.
europepmc +1 more source
Theorems on M-splittings of a singular M-matrix which depend on graph structure
Hans Schneider
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