Results 51 to 60 of about 21,260,567 (325)
Network Reliability Modeling Based on a Geometric Counting Process
Mathematics, 2018 In this paper, we investigate the reliability and stochastic properties of an n-component network under the assumption that the components of the network fail according to a counting process called a geometric counting process (GCP).
Somayeh Zarezadeh +2 more
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Combinatorial stochastic processes [PDF]
Stochastic Processes and their Applications, 1994 Well-known asymptotic results for sums of independent stochastic processes are extended to processes \(S = \sum^ n_{i = 1} \varphi_{i \pi (i)}\), where \(\varphi = (\varphi_{ij})_{1 \leq i,j \leq n}\) is a collection of independent stochastic processes \(\varphi_{ij}\) on some set \(\tau\), and \(\pi\) is a random permutation of \(\{1,2, \dots, n ...
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Circulant Tensors with Applications to Spectral Hypergraph Theory and Stochastic Process [PDF]
, 2013 Circulant tensors naturally arise from stochastic process and spectral hypergraph theory. The joint moments of stochastic processes are symmetric circulant tensors. The adjacency, Laplacian and signless Laplacian tensors of circulant hypergraphs are also
Zhongming Chen, L. Qi
semanticscholar +1 more source
Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance
Aging and Cancer, EarlyView.NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang +3 more
wiley +1 more source
DiversityPhytoplankton communities typically comprise a few dominant species and numerous rare ones, but their responses to seasonal precipitation changes remain poorly understood.
Enze Xiao +8 more
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The Past as a Stochastic Process
Journal of Computer Applications in Archaeology20 pages, 4 ...
David H. Wolpert +8 more
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Markov processes of cubic stochastic matrices: Quadratic stochastic processes
Linear Algebra and its Applications, 2019 We consider Markov processes of cubic stochastic (in a fixed sense) matrices which are also called quadratic stochastic process (QSPs). A QSP is a particular case of a continuous-time dynamical system whose states are stochastic cubic matrices satisfying an analogue of the Kolmogorov-Chapman equation (KCE).
J.M. Casas, M. Ladra, U.A. Rozikov
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Stochastic Simulation of Process Calculi for Biology
, 2010 Biological systems typically involve large numbers of components with complex, highly parallel interactions and intrinsic stochasticity. To model this complexity, numerous programming languages based on process calculi have been developed, many of which ...
A. Regev +21 more
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Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
On convergence of stochastic processes [PDF]
Transactions of the American Mathematical Society, 1962 It is clear that for given I,un } and t, the better theorem of this kind would be the one in which (2) is proved for the larger class of functions f. In this paper we shall show that certain known "invariance principles" can under some hypotheses be improved by considerably enlarging the class of functions for which (2) holds.
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