Results 61 to 70 of about 2,583,540 (350)

Dissipative control of a three-species food chain stochastic system with a hidden Markov chain

Advances in Difference Equations, 2017
This paper focuses on a three-species food chain system which is formulated as stochastic differential equations with regime switching represented by a hidden Markov chain. Firstly, using the Wonham filter, we estimate the hidden Markov chain through the
Yonggang Ma, Qimin Zhang, Li Wang, Ting Kang   +3 more
doaj   +1 more source

Method for Determining the Number of States of the Markov Model of Damage Accumulation in Predicting the Technical Condition of a Fiber-Optic Cable

Proceedings of the International Conference on Applied Innovations in IT, 2021
Estimation of the residual service life of operating fiber-optic cables is an urgent t ask. Usually this problem is solved based on the use of the Markov chain model. However, due to the nonlinear dependence of the probability of rejection on the rate of
Elena Ionikova, Kirill Karpov, Viacheslav Shuvalov   +2 more
doaj   +1 more source

Interfacial Yield Stress Response in Synthetic Mucin Solutions

Advanced Materials Interfaces, EarlyView.
The solution rheology of novel synthetic mucins mimicking natural mucin domains is studied. Like many natural mucin solutions, apparent solid‐like rheology is seen. However, no bulk structural features are found to explain it. Interfacial rheology and robust modelling reveal that this arises from molecular associations at the air–water interface ...
Sumit Sunil Kumar, Travis Leadbetter, J. Brandon McClimon, Manuel A. Lema, Farhana M. Khan, Prashant K. Purohit, Adam B. Braunschweig, Robert W. Carpick   +7 more
wiley   +1 more source

Lipocalin‐2 activates hepatic stellate cells and promotes nonalcoholic steatohepatitis in high‐fat diet–fed Ob/Ob mice

Hepatology, EarlyView., 2022
Graphical summary of obesity‐induced NASH progression by LCN2 targeted to HSC activation. Abstract Background and Aims In obesity and type 2 diabetes mellitus, leptin promotes insulin resistance and contributes to the progression of NASH via activation of hepatic stellate cells (HSCs).
Kyung Eun Kim, Jaewoong Lee, Hyun Joo Shin, Eun Ae Jeong, Hye Min Jang, Yu Jeong Ahn, Hyeong Seok An, Jong Youl Lee, Meong Cheol Shin, Soo Kyoung Kim, Won Gi Yoo, Won Ho Kim, Gu Seob Roh   +12 more
wiley   +1 more source

STABILITY OF LINEAR SYSTEMS WITH MARKOVIAN JUMPS

Selecciones Matemáticas, 2016
In this work we will analyze the stability of linear systems governed by a Markov chain, this family is known in the specialized literature as linear systems with Markov jumps or by its acronyms in English MJLS as it is denoted in [1].
Jorge Enrique Mayta Guillermo
doaj   +1 more source

Markov chain analysis of regional climates [PDF]

Nonlinear Processes in Geophysics, 2010
We present a novel method for regional climate classification that is based on coarse-grained categorical representations of multivariate climate anomalies and a subsequent Markov chain analysis.
S. Mieruch, S. Noël, H. Bovensmann, J. P. Burrows, J. A. Freund   +4 more
doaj   +1 more source

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

Advanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Strong Ergodicity in Nonhomogeneous Markov Systems with Chronological Order

Mathematics
In the present, we study the problem of strong ergodicity in nonhomogeneous Markov systems. In the first basic theorem, we relax the fundamental assumption present in all studies of asymptotic behavior.
P.-C.G. Vassiliou
doaj   +1 more source

Transitional Markov Chain Monte Carlo: Observations and Improvements

, 2016
The Transitional Markov chain Monte Carlo (TMCMC) method is a widely used method for Bayesian updating and Bayesian model class selection. The method is based on successively sampling from a sequence of distributions that gradually approach the posterior
W. Betz, I. Papaioannou, D. Štraub
semanticscholar   +1 more source

Metastable Markov chains

Probability Surveys, 2019
We review recent results on the metastable behavior of continuous-time Markov chains derived through the characterization of Markov chains as unique solutions of martingale problems.
openaire   +6 more sources