We investigate the almost surely asymptotic stability of gene regulatory networks (GRNs) with Markovian switching. Previous research has described GRNs as coupled nonlinear stochastic systems under parametric perturbations without considering the important aspect of different time-delays in the subsystems. However, a realistic model of a GRN is that of a hybrid stochastic retarded system that r...

Abstract This paper introduces a novel reverse engineering (RE) technique for the reconstruction of editable computer-aided design (CAD) models mechanical parts’ assemblies. The input is point cloud assembly that has been acquired as whole, i.e., without disassembling it prior to its digitization. proposed framework allows parametric CAD model through multi-step and fitting approach. It modular...

In the course of understanding the functioning of cellular processes, modelling frameworks for biological networks are mandatory in order to reason on the models and their properties. One of the main problems with such modelling framework is to determine the dynamics of gene regulatory networks (GRN). Formal techniques, most of them based on model checking, have been applied to select valid dyn...

Gene regulatory networks (GRNs), when solved, provide immediate and predictive access to the specific functional termini at which genomic sequence determines the logic of the organismal regulatory system. GRN topology explains the fundamental processes of development (1), including dynamics (2), major evolutionary transitions (3), many aspects of physiological function, and normal and diseased ...

Reverse osmosis (RO). has become a standard unit operation in Chemical Engineering. This separation process can be used for a wide variety of applications including: desalination of sea water, treatment of industrial wastes, concentration of food products, and recovery of value materials from solution mixtures. In order to best utilize RO it is necessary to have a fundamental understanding of t...

Logical models have widely been used to gain insights into the biological behavior of gene regulatory networks (GRNs). Most logical models assume a synchronous update of the genes' states in a GRN. However, this may not be appropriate, because each gene may require a different period of time for changing its state. In this article, asynchronous stochastic Boolean networks (ASBNs) are proposed f...

The interplay of interactions between DNA, RNA and proteins leads to genetic regulatory networks (GRN) and in turn controls the gene regulation. Directly or indirectly in a cell such molecules either interact in a positive or in repressive manner therefore it is hard to obtain the accurate computational models through which the final state of a cell can be predicted with certain accuracy. This ...