Results 51 to 60 of about 18,707 (285)
An approximation method for Navier-Stokes equations based on probabilistic approach [PDF]
, 2002 A new layer method solving the space-periodic problem for the Navier-Stokes equations is constructed by using probabilistic representations of their solutions.
Belopolskaya, Yana, Milstein, Grigori N.
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Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
Statistical Convergence in Strong Topology of Probabilistic Normed Spaces
, 2009 EnFollowing the concept of statistical convergence, we define and study statistical analogue concepts of convergence and Cauchy’s sequence on a probabilistic normed space that is endowed with a strong topology.
Rafi , Mohd +1 more
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Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Journal of King Saud University: Computer and Information Sciences, 2022 Classification is used to categorize data and produce decisions for several domains. To improve the accuracy of classification, researchers have tended to hybridize the neural network with other metaheuristic algorithms in order to better exploit and ...
Mohammed Alweshah +4 more
doaj +1 more source
Upper approximating probabilities of convergence in probabilistic coherence spaces
CoRR, 2020 We develop a theory of probabilistic coherence spaces equipped with an additional extensional structure and apply it to approximating probability of convergence of ground type programs of probabilistic PCF whose free variables are of ground types. To this end we define an adapted version of Krivine Machine which computes polynomial approximations of ...
openaire +2 more sources
Generalized ideal convergence in probabilistic normed spaces [PDF]
Journal of Classical Analysis, 2013 Summary: The aim of this paper is to introduce and study the notion of \(I_\lambda\)-convergence in probabilistic normed space as a variant of the notion of ideal convergence. Also, \(I_\lambda\)-limit point and \(I_\lambda\)-cluster point hase been defined and the relation between them have been established.
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Hybrid Monte Carlo on Hilbert spaces [PDF]
, 2011 The Hybrid Monte Carlo (HMC) algorithm provides a framework for sampling from complex, high-dimensional target distributions. In contrast with standard Markov chain Monte Carlo (MCMC) algorithms, it generates nonlocal, nonsymmetric moves in the state ...
Beskos, A +15 more
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
A Heuristic Rapidly-Exploring Random Trees Method for Manipulator Motion Planning
IEEE Access, 2020 In order to plan the robot path in 3D space efficiently, a modified Rapidly-exploring Random Trees based on heuristic probability bias-goal (PBG-RRT) is proposed.
Chengren Yuan +4 more
doaj +1 more source