Modeling stochastic noise in gene regulatory systems

Stochastic human fatigue modeling in production systems

The performance of human resources is affected by various factors such as mental and physical fatigue, skill, and available time in the production systems. Generally, these mentioned factors have effects on human reliability and consequently change the reliability of production systems. Fatigue is a stochastic factor that changes according to other factors such as environmental conditions, work...

Analysis of Noise Induced Stochastic Fluctuations in Gene Regulatory Networks

Stochasticity is well recognized to be of crucial importance in the analysis of gene regulatory problems. This importance stems from the fact that extremely rare but important regulatory molecules often cause a great amount of intrinsic noise within a cell. Such systems are frequently modeled at the mesoscopic level as jump Markov processes, whose probability distributions evolve according to t...

Systems Level Modeling of Gene Regulatory Networks

Modeling Basel Regulatory in DSGE with Emphasis on Adequacy Regulatory

In this paper Basel regulation is modeled in Dynamic Stochastic General Equilibrium (DSGE) framework. For this purpose, using data from 1981-2017 for Iran, capital adequacy as an importance regulation is modeled. Results show Basel regulation has procyclical effect. According to the results of the model and according to the realities of economy and banking system of Iran, in recession, lending ...

Noise and Multistability in Gene Regulatory Networks

Proteins are the functional machinery in living cells. Proteins interact with each other and bind to DNA to form so-called gene regulatory networks and in this way regulate the level, location and timing of expression of other proteins. Cells implement feedback loops to create a memory of their gene expression states. In this way, every differentiated cell in a multicellular organism remembers ...