Thermal noise in magnetic tunnel junctions, usually suppressed, now serves as a tunable source of randomness for Bayesian ...
Introduction Cigarette smoking continues to exert a major impact on morbidity and mortality. We aim to provide robust ...
Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...
Abstract: This article formulates algorithms to upper-bound the maximum value-at-risk (VaR) of a state function along trajectories of stochastic processes. The VaR is upper bounded by two methods: ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Abstract: In this article, we will study a class of forward and backward stochastic difference equations (discrete-time FBSDEs) with time delay. By establishing a nonhomogeneous relationship between ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
This paper examines the effect of women’s political empowerment on public spending efficiency in developing countries. Using ...
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Scientists at Los Alamos National Laboratory have created quantum control procedures that produce processes more compatible ...
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Contributed by James M. Tiedje, July 5, 2019 (sent for review March 18, 2019; reviewed by Jay T. Lennon and Simon A. Levin) ...
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