The quest for a deeper understanding of the cancer growth and spread process focuses on naturally multiscale nature invasion, which requires an appropriate modeling analysis approach. cross-talk between dynamics cell population tissue scale (macroscale) proteolytic molecular processes along tumor border (microscale) plays particularly important role within invasion processes, leading to dramati...

Abstract A multi-scale flash temperature model has been developed and validated against existing work. The core strength of the proposed is that it can be adapted to predict contact temperatures occurring in various types sliding systems. In this paper, used investigate how different surface roughness parameters affect temperatures. results show for decreasing Hurst exponents as well increasing...

Immune responses rely on a complex adaptive system in which the body and infections interact at multiple scales different compartments. We developed modular model of CD4+ T cells, uses four modeling approaches to integrate processes three spatial tissues. In each cell, signal transduction gene regulation are described by logical model, metabolism constraint-based models. Cell population dynamic...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

introduction: autism spectrum disorders (asd) belong to the pervasive neurodevelopmental disorders. the prevalence of asd has increased significantly throughout recent decades, bringing the overall estimated prevalence to 11.3 per 1000 children. asd is characterized by severe difficulties in reciprocal social interaction, stereotyped patterns of behavior and profound impairments in verbal and n...