نتایج جستجو برای: Mathematical model of infectious diseases
تعداد نتایج: 21403033 فیلتر نتایج به سال:
in this thesis, we consider a mathematical model of cancer with completely unknown parameters. we study the stability of critical points which are biologically admissible. then we consider a control on the system and introduce situations at which solutions are attracted to critical points and so the cancer disease has auto healing. the lyapunov stability method is used for estimating the un...
a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...
purpose a metabolic abnormality such as obesity is a major obstacle in the maintenance of the human health system and causes various chronic diseases including type 2 diabetes, hypertension, cardiovascular diseases, as well as various cancers. this study was designed to summarize the recent scientific knowledge regarding the anti-obesity role of curcumin (diferuloylmethane), which is isolated f...
The Volterra delay integral equations have numerous applications in various branches of science, including biology, ecology, physics and modeling of engineering and natural sciences. In many cases, it is difficult to obtain analytical solutions of these equations. So, numerical methods as an efficient approximation method for solving Volterra delay integral equations are of interest to many res...
Theme 1: Organization and function of the immune system Chair: Alan Perelson 08:20 AM 08:30 AM Introduction to theme 1 and its presentations by Chair 08:30 AM 09:30 AM Speaker: Rob J De Boer (Plenary lecture) Utrecht University “Estimating the killing efficacy of cytotoxic T cells” 09:30 AM 10:00 AM Speaker: Stanca Ciupe “Mathematical models of T-cell development” Duke University 10:00 AM 10:30...
INTRODUCTION Mathematical models allow us to extrapolate from current information about the state and progress of an outbreak, to predict the future and, most importantly, to quantify the uncertainty in these predictions. Here, we illustrate these principles in relation to the current H1N1 epidemic. SOURCES OF DATA Many sources of data are used in mathematical modelling, with some forms of mo...
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