Results 231 to 240 of about 105,333 (289)

A Soft Matrix Microenvironment Promotes Laterally Spreading Tumors via Oxidative Phosphorylation‐Dependent Cell Adhesion

open access: yesAdvanced Science, EarlyView.
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong   +21 more
wiley   +1 more source

The Allen-Cahn equation with weakly critical random initial datum. [PDF]

open access: yesProbab Theory Relat Fields
Gabriel S, Rosati T, Zygouras N.
europepmc   +1 more source

Sustainable development trade-offs shape the acceptability of climate mitigation scenarios

open access: yes
Parrado-Hernando G   +13 more
europepmc   +1 more source

Stochastic Integration Filter

IEEE Transactions on Automatic Control, 2013
The technical note deals with state estimation of nonlinear stochastic dynamic systems. Traditional filters providing local estimates of the state, such as the extended Kalman filter, unscented Kalman filter, or the cubature Kalman filter, are based on computationally efficient but approximate integral evaluations.
Jindrich Duník   +2 more
openaire   +1 more source

On Stochastic Integration and Differentiation

Acta Applicandae Mathematica, 1999
This short note presents a method to identify the integrands \((\varphi_j)_{j=1}^n\) for a martingale \(\xi_t=\sum_{j=1}^n\int_0^t\varphi_j d\eta^j_t\), \((\eta^j)_{j=1}^n\) being independent Brownian motions, in a measurable way. The quintessence of the method is an \(L^2\)-limit of certain approximations to the quadratic covariation between \(\xi ...
Di Nunno, G., Rozanov, Yu. A.
openaire   +2 more sources

Stochastic integration with respect to a stochastic integral

Stochastic Analysis and Applications, 1997
In this paper we prove first the property of integration with respect to a measure defined by density,h(fm) = (hf)mor a measure mand functions f,h, taking values in Banach spaces. Then we use this result to prove the similar “associativity” property of the stochastic integralL.(K-X)= (LK) Xfor processes X,K,Ltaking values in Banach ...
openaire   +1 more source

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