Multiscale modeling of the spatial structure of stem cells in neuroblastoma patient-derived tumoroids reveals a critical role for a short-range diffusive process. [PDF]
Nguyen TNT +7 more
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A Ca<sup>2+</sup> puff model based on integrodifferential equations. [PDF]
Hawker M +4 more
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Connections between sequential Bayesian inference and evolutionary dynamics. [PDF]
Pathiraja S, Wacker P.
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Efficient construction of Markov state models for stochastic gene regulatory networks by domain decomposition. [PDF]
Yousefian M +3 more
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Research on online EDI order scheduling optimization strategy in manufacturing enterprises based on time-varying Markov chains. [PDF]
Wulan Q.
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Bayesian reinforcement learning for adaptive control of energy recuperation in hydraulic excavator arms. [PDF]
Hu P, Wen T, Zhang D, Chen H, Gong J.
europepmc +1 more source
Strategic planning of prevention and surveillance for emerging diseases and invasive species. [PDF]
Wang J +10 more
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Stem cell fate decisions: Substates and attractors. [PDF]
Mason JE, Nie X, Coca D, Andrews PW.
europepmc +1 more source
Low power reprogrammable DNA basecaller with an efficient HMM accelerator for real time nanopore sequencing. [PDF]
Shahraki AS +3 more
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Nonparametric estimation for piecewise-deterministic Markov processes
M.H.A. Davis a introduit les processus markoviens déterministes par morceaux (PDMP) comme une classe générale de modèles stochastiques non diffusifs, donnant lieu à des trajectoires déterministes ponctuées, à des instants aléatoires, par des sauts aléatoires.
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