System-identification methods compose a mathematical model, or series of models, from measurements of inputs and outputs of dynamic systems. The estimated models allow the characterization of the response of the overall aircraft or component subsystem behavior. This paper discusses the use of System Identification Toolbox of MATLAB/SIMULINK for the estimation of aircraft flight dynamics in long...

In this paper the dynamic modeling of repairable and standby components of complex systems is analyzed using Petri Nets and ladder logic diagrams. The use of Petri Nets as modelling of a complex system avoids two basic disadvantages of Markov chain analysis. First, the Petri Net model does not grow in size as increasing the number of components and second, Markov chain has been limited to the e...

Mitochondria are dynamic organelles, capable to interact with each other. While the number of mitochondria in a cell varies, their quality and functionality depends on the operation of fusion, fission, motility and mitophagy. Nowadays, several researches declare as an important factor in neurogenerative diseases the disruptions in the regulation of mitochondrial dynamics. In this paper a stocha...

The article investigates how 14to 15year-olds build informal conceptions of inferential statistics as they engage in a modelling process and build their own computer simulations with dynamic statistical software. This study proposes four primary phases of informal inferential reasoning for the students in the statistical modeling and simulation process. Findings show shifts in the conceptual st...

Adhesion of micro and nanoparticles onto cardiovascular walls is a critical process in applications such as targeted drug delivery, biomedical imaging, and cancer treatment. This paper intends to develop an understanding of the dynamic interaction between particle and vessel wall through computational modeling. The ligand-receptor binding dynamics is coupled with Immersed Finite Element Method ...