Because of the lack of satisfactory solutions to explain biological systems, biologists usually focus on modelling and simulation tools to understand the behaviour of these complex organisms. Indeed, computational mod...
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Because of the lack of satisfactory solutions to explain biological systems, biologists usually focus on modelling and simulation tools to understand the behaviour of these complex organisms. Indeed, computational modelling and simulation of cells plays a pivotal role in systems biology. In this paper, we tackle the problem of studying the behaviour of human cells by reproducing the behaviour of complex biomolecular networks. To this end, we present in this paper an approach for simulating complex biomolecular networks inspired by the discrete-event simulation model (DEVS), a formalism developed for supporting the modelling of complex systems. In this paper, we propose a simulation tool, named CBNSimulator, based on a logical model of the biomolecular network and taking advantage of the performance of a discrete-time simulation model for understanding the evolution and the behaviour of complex biomolecular networks as a discrete sequence of events in time. The proposed tool has been applied to the case study of a ribosomal protein regulation network, named "the bacteriophage T4 gene 32, and results given by this simulation tool are in agreement with the experts judgement. Moreover, the graphical user interface of CBNSimulator allows biologists to easily reproduce, analyse and understand behaviour of complex biomolecular networks through discrete simulation. (C) 2017 The Authors. Published by Elsevier B.V.
The SEPIC converter has gained significant attention in renewable energy applications due its unique ability to provide up and down voltage level conversion. For closed loop controlled applications mathematical modell...
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This paper reports the experiences gained through the use of computer simulation in the modelling of a human-centred assembly line in an automotive manufacturing company. The main themes of the paper include the probl...
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The availability of digital computers capable of numerical solution of very large systems of differential equations has permitted the development of mathematical models capable of explaining many features of human loc...
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The availability of digital computers capable of numerical solution of very large systems of differential equations has permitted the development of mathematical models capable of explaining many features of human locomotion. This study surveys the state of knowledge with respect to such models, both with regard to their relevance to the understanding of neural control mechanisms and to possible clinical uses. Special attention is given to alternative methods for deriving the equations of motion for the musculo-skeletal system. Although planar models are emphasized, a summary of available results for three-dimensional motion simulation and analysis is presented. Experimental results obtained from a computer-based instrumentation system utilizing both force and motion measurements are included.
The paper reviews some of the major approaches for modelling the human operator in process control systems. Approaches considered include theories of estimation, control and fuzzy sets. These approaches offer a wide v...
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The paper reviews some of the major approaches for modelling the human operator in process control systems. Approaches considered include theories of estimation, control and fuzzy sets. These approaches offer a wide variety of mathematical and logical tools that are useful for analyzing the operator-process interaction.
The formation of the present work is based on the development of the exact analytical solution of two-dimensional temperature response by employing the hyperbolic heat conduction bioheat model in a single-layered huma...
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The formation of the present work is based on the development of the exact analytical solution of two-dimensional temperature response by employing the hyperbolic heat conduction bioheat model in a single-layered human skin tissue subjected to the regional hyperthermia therapy (RHT) for cancer treatment. The mathematical approach has been utilized as a hybrid form of 'separation of variables' and 'finite integral transform' method. Three kinds of surface heat fluxes (constant, sinusoidal and cosine) have been employed as an external heat source on the therapeutic surface of the square-shaped skin tissue of 100 mm x 100 mm. An innovative form of initial condition (spatially dependent) has been implemented in the present mathematical formulation as skin tissues are highly non-homogeneous and non-uniform in structure. The present research outcome indicates that cosine heat flux would be a suitable alternative for the sinusoidal heat flux. The impact of the relaxation time lag has been clearly noted in the thermal response with the waveform-like behaviour and it justifies the postulate of hyperbolic heat conduction. The two-dimensional temperature of the skin tissue has been observed in the range of 48.1 celcius-40 celcius (in decreasing order). Estimated peak temperatures are in the proposed spectrum of hyperthermia therapy for an exposure time of 100 s, and this fact is true in an agreement with the medical protocol of the cancer treatment. The accuracy of the mathematicalmodelling and in-house computer codes are justified with the published numerical models and the maximum deviation of the thermal response has been noticed in order of 1.5-3%. The two-dimensional surface thermal contours have provided a glimpse of heat flow in the physical domain of skin tissue under different heating conditions and this research output may be beneficial to establish the theoretical standard of the regional hyperthermia treatment for cancer eradication.
We simulated a mathematical model to the real behaviour of the bioreactor in the anaerobic methanogen phase. This coupled model is composed of a bi-phase basis of the conservation of matter, energy and thermodynamic f...
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The paper presents a general mathematical model for disperse systems in which direct interactions between particles are taken into consideration. The model is formulated in terms of transition measures, introduced on ...
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The paper presents a general mathematical model for disperse systems in which direct interactions between particles are taken into consideration. The model is formulated in terms of transition measures, introduced on the basis of conditional Markov processes. The population balance equation, describing the behaviour of interactive populations, is developed in a general form of continuous and discontinuous terms. Moment equations are presented and analysed for the axial dispersion model with interparticle exchange processes of heat and mass. The applicability of the model is illustrated by applying it for describing a process of heating particles by gas with interparticle heat transfer, and a mass exchange process between fluid particles. (c) 2005 Elsevier Ltd. All rights reserved.
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