Results 101 to 110 of about 1,052,390 (266)

Kronecker Square Roots and the Block Vec Matrix [PDF]

The American Mathematical Monthly, 2015
Using the block vec matrix, I give a necessary and sufficient condition for factorization of a matrix into the Kronecker product of two other matrices. As a consequence, I obtain an elementary algorithmic procedure to decide whether a matrix has a square root for the Kronecker product.
openaire   +3 more sources

Targeted protein degradation in oncology: novel therapeutic opportunity for solid tumours?

Molecular Oncology, EarlyView.
Current anticancer therapies are limited by the occurrence of resistance and undruggability of most proteins. Targeted protein degraders are novel, promising agents that trigger the selective degradation of previously undruggable proteins through the recruitment of the ubiquitin–proteasome machinery. Their mechanism of action raises exciting challenges,
Noé Herbel, Sophie Postel‐Vinay
wiley   +1 more source

Multi‐view registration based on weighted LRS matrix decomposition of motions

IET Computer Vision, 2019
Recently, the low‐rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi‐view registration. It views each available relative motion as a block element to reconstruct one sparse matrix, which then is used to
Congcong Jin, Jihua Zhu, Yaochen Li, Shanmin Pang, Lei Chen, Jun Wang   +5 more
doaj   +1 more source

Block diagonalization of partitioned matrix operators

Linear Algebra and its Applications, 1973
AbstractGiven operators E, F, G, and H, defined in an abstract linear space, B, we form the matrix operator à (x ⊕ y) = (Ex + Fy) ⊕ (Gx + Hy), defined in the product space B2 and show, under certain conditions, that à is related by a similarity transformation to a block diagonal operator D̃(x ⊕ y) = Λ1x ⊕ Λ2y, where Λ1 and Λ2 are a complete pair of ...
openaire   +2 more sources

Aberrant expression of nuclear prothymosin α contributes to epithelial‐mesenchymal transition in lung cancer

Molecular Oncology, EarlyView.
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen, Chung‐Teng Wang, Jia‐Ming Chang, Ai‐Li Shiau, Gia‐Shing Shieh, Yau‐Lin Tseng, Yi‐Ting Yen, Tang‐Hsiu Huang, Li‐Hsin Cheng, Yu‐Chih Wu, Chao‐Liang Wu, Bing‐Hua Su, Pensee Wu   +12 more
wiley   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Reduced order feedback control equations for linear time and frequency domain analysis [PDF]

An algorithm was developed which can be used to obtain the equations. In a more general context, the algorithm computes a real nonsingular similarity transformation matrix which reduces a real nonsymmetric matrix to block diagonal form, each block of ...
Frisch, H. P.
core   +1 more source

The anticancer effect of the HDAC inhibitor belinostat is enhanced by inhibitors of Bcl‐xL or Mcl‐1 in ovarian cancer

Molecular Oncology, EarlyView.
The pan‐HDAC inhibitor belinostat increases the expression of the pro‐apoptotic proteins Bim, Puma, and Noxa and induces apoptosis in ovarian cancer cell lines and patient‐derived tumor organoids when used at high concentrations. Moreover, inhibiting the anti‐apoptotic proteins Bcl‐xL or Mcl‐1 sensitizes these preclinical models to the cytotoxic effect
Cécilia Thomine, Sterenn Guillemot, Louis‐Bastien Weiswald, Romane Florent, Edwige Abeilard, Florence Giffard, Emilie Brotin, Mélanie Briand, Enora Dolivet, Laurent Poulain, Marie Villedieu   +10 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
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, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source