Analysis of Exchange Rates as Time-Inhomogeneous Markov Chain with Finite States by Felix O. Mettle, Lydia Pomaa Boateng, Enoch N. B. Quaye, Emmanuel Kojo Aidoo, Issah Seidu

“…Based on the assumption that, for each point in time in the future, a stochastic process will be subjected to a randomly selected transition matrix from an ergodic set of transition matrices the process was subjected to in the recent past, a methodology was proposed for analysing the long-run behaviours of time-inhomogeneous Markov chains. …”
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High-resolution fleezers reveal duplex opening and stepwise assembly by an oligomer of the DEAD-box helicase Ded1p by Eric M. Patrick, Rajeev Yadav, Kasun Senanayake, Kyle Cotter, Andrea A. Putnam, Eckhard Jankowsky, Matthew J. Comstock

“…Using high-resolution optical tweezers and fluorescence, we reveal a highly dynamic and stochastic process of multiple Ded1p protomers assembling on and unwinding an RNA duplex. …”
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Multiobjective Optimization Approach for Robust Bridge Damage Identification against Sensor Noise by Seung-Yong Ok, Sungmoon Jung, Junho Song

“…A major finding from this study is that the stochastic process of Pareto optimal solutions obtained in a single run not only captures the actual damage locations successfully but also provides useful information such as damage-detected ratio on the potential candidates for damage to be inspected on site. …”
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Evaluation of Wind-Induced Response Bounds of High-Rise Buildings Based on a Nonrandom Interval Analysis Method by Xianglei Wei, An Xu, Ruohong Zhao

“…The traditional wind-induced response analysis of high-rise buildings conventionally considers the wind load as a stationary stochastic process. That is, for a certain wind direction angle, the reference wind speed (usually refers to the mean wind speed at the building height) is assumed to be a constant corresponding to a certain return period. …”
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Inference of a Susceptible–Infectious stochastic model by Giuseppina Albano, Virginia Giorno, Francisco Torres-Ruiz

“…Such a model was well suited to describe some classes of micro-parasitic infections in which individuals never acquired lasting immunity and over the course of the epidemic everyone eventually became infected. The stochastic process related to the deterministic model was transformable into a nonhomogeneous Wiener process so the probability distribution could be obtained. …”
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Quantitative Diagnosis of Rotor Vibration Fault Using Process Power Spectrum Entropy and Support Vector Machine Method by Cheng-Wei Fei, Guang-Chen Bai, Wen-Zhong Tang, Shuang Ma

“…To improve the diagnosis capacity of rotor vibration fault in stochastic process, an effective fault diagnosis method (named Process Power Spectrum Entropy (PPSE) and Support Vector Machine (SVM) (PPSE-SVM, for short) method) was proposed. …”
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Specificity and tunability of efflux pumps: A new role for the proton gradient? by Matthew Gerry, Duncan Kirby, Boian S Alexandrov, Dvira Segal, Anton Zilman

“…We developed a set of mathematical models describing operation of efflux pumps as a discrete cyclic stochastic process across a network of states characterizing pump conformations and the presence/absence of bound ligands and protons. …”
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Modeling of Blood Flow Dynamics in Rat Somatosensory Cortex by Stéphanie Battini, Nicola Cantarutti, Christos Kotsalos, Yann Roussel, Alessandro Cattabiani, Alexis Arnaudon, Cyrille Favreau, Stefano Antonel, Henry Markram, Daniel Keller

“…We developed a framework with three key components: coupling between the vasculature and synthesized astrocytic morphologies, a fluid dynamics model to compute flow in each vascular segment, and a stochastic process replicating the effect of astrocytic endfeet on vessel radii. …”
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

“…To avoid linkage attacks in personalized differential privacy, we design a noise correlation decoupling mechanism using a Markov stochastic process. In addition, we build the community model on a blockchain, which can mitigate the risk of poisoning attacks during differentially private data transmission over SHNs. …”
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The damage evolution law and life prediction of mortar under Freeze-thaw cycles and sulfate corrosion based on entropy weight method by Yizheng Jiang, Yuang Cui, Yi Song, Xuepeng Zhang

“…Based on the Wiener stochastic process damage model and field data, it is predicted that the service life of mortar containing 10 % silica fume increases most notably to 36.6 years, representing a relative improvement of 45.8 % compared to mortar without silica fume. …”
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