Results 121 to 130 of about 8,171,715 (369)

Pseudospectra and eigenvalue asymptotics for disordered non-selfadjoint operators in the semiclassical limit

open access: yesFrontiers in Applied Mathematics and Statistics
The purpose of this note is to review certain recent results concerning the pseudospectra and the eigenvalues asymptotics of non-selfadjoint semiclassical pseudo-differential operators subject to small random perturbations.
Martin Vogel
doaj   +1 more source

Random matrix analysis of complex networks

open access: yes, 2007
We study complex networks under random matrix theory (RMT) framework. Using nearest-neighbor and next-nearest-neighbor spacing distributions we analyze the eigenvalues of adjacency matrix of various model networks, namely, random, scale-free and small ...
B. Bollobás   +9 more
core   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

open access: yesMolecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy   +9 more
wiley   +1 more source

Randomized Matrix Computations

open access: yes, 2012
58 ...
Pan, Victor Y.   +2 more
openaire   +2 more sources

Understanding and measuring mechanical signals in the tumor stroma

open access: yesFEBS Open Bio, EarlyView.
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

Ro 31‐8220 suppresses bladder cancer progression via enhancing autophagy in vitro and in vivo

open access: yesFEBS Open Bio, EarlyView.
The pan‐protein kinase C inhibitor Ro‐31‐8220 demonstrates potent anti‐bladder cancer effects both in vitro and in vivo by suppressing migration/invasion, inducing apoptosis and crucially activating autophagy, where blocking autophagy with chloroquine reduces its cell‐killing efficacy, suggesting its promise as a novel therapeutic candidate requiring ...
Shengjun Fu   +12 more
wiley   +1 more source

Random Frequency Division Multiplexing

open access: yesEntropy
In this paper, we propose a random frequency division multiplexing (RFDM) method for multicarrier modulation in mobile time-varying channels. Inspired by compressed sensing (CS) technology which use a sensing matrix (with far fewer rows than columns) to ...
Chanzi Liu, Jianjian Wu, Qingfeng Zhou
doaj   +1 more source

Downregulation of sST2, a decoy receptor for interleukin‐33, enhances subcutaneous tumor growth in murine pancreatic cancer cells

open access: yesFEBS Open Bio, EarlyView.
Subcutaneous implantation of murine Panc02 pancreatic cancer cells depleted of sST2, a soluble decoy receptor for the proinflammatory interleukin‐33 (IL‐33), leads to a decreased number of GLUT4‐positive cancer‐associated adipocytes, reduced levels of the anti‐inflammatory molecule adiponectin, increased phosphorylation of IκBα, elevated Cxcl3 ...
Miho Akimoto   +5 more
wiley   +1 more source

Chiral random matrix theory for two-color QCD at high density

open access: yes, 2010
We identify a non-Hermitian chiral random matrix theory that corresponds to two-color QCD at high density. We show that the partition function of the random matrix theory coincides with the partition function of the finite-volume effective theory at high
Kanazawa, Takuya   +2 more
core   +1 more source

Random orthogonal matrix simulation

open access: yesLinear Algebra and its Applications, 2011
AbstractThis paper introduces a method for simulating multivariate samples that have exact means, covariances, skewness and kurtosis. We introduce a new class of rectangular orthogonal matrix which is fundamental to the methodology and we call these matrices L matrices. They may be deterministic, parametric or data specific in nature.
Carol Alexander   +2 more
openaire   +2 more sources

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