toxoplasmosis is one of the most common parasitic diseases worldwide. although estimated that one third of the world's population are infected with toxoplasma gondii , but the most common form of the disease is latent (asymptomatic). on the other hand, recent findings indicated that la­tent toxoplasmosis is not only unsafe for human, but also may play various roles in the etiol­ogy of different...

This paper focuses on a fundamental input parameter for most existing mathematical models of pandemic influenza, the ‘basic reproductive number R0,’ defined to be the mean number of new influenza infections created by a newly infected person in a population of all susceptible people. We argue that R0 is limited in policy and scientific value as is any single parameter attempting to characterize...

Distributed catchment models are widely used tools for predicting hydrologic behavior. While distributed models require many parameters to describe a system, they are expected to simulate behavior that is more consistent with observed processes. However, obtaining a single set of acceptable parameters can be problematic, as parameter equifinality often results in several “behavioral” sets that ...

Piston plays a vital role in almost all types of vehicles. The present study discusses the behavioral study of a piston manufacturing plant. Manufacturing plants are complex repairable systems and therefore, it is difficult to evaluate the performance of a piston manufacturing plant using stochastic models. The stochastic model is an efficient performance evaluator for repairable systems. In...

In this paper, we investigate the calibration of a mathematical model describing different behaviors occurring during natural, societal, or technological catastrophe. This was developed in collaboration with geographers and psychologists. To collect information on level stress, psychologists LPPL laboratory Nantes (France) led virtual reality experiments. These experiments consisted immersing i...

Studies in experimental economics have consistently demonstrated that Nash equilibrium is a poor description of human players’ behavior in unrepeated normal-form games. Behavioral game theory offers alternative models that more accurately describe human behavior in these settings. These models typically depend upon the values of exogenous parameters, which are estimated based on experimental da...

This paper presents an investigation into parameter adaptation in behavioral model–based digital predistortion for radio frequency power amplifiers. A novel measurement setup framework that emulates real–time adaptation in transmitters is developed that allows evaluation of different parameters, configurations and adaptation algorithms. This setup relieves the need for full feedback loops for p...

A multi-agent Parrondo's model based on complex networks is used in the current study. For Parrondo's game A, the individual interaction can be categorized into five types of behavioral patterns: the Matthew effect, harmony, cooperation, poor-competition-rich-cooperation and a random mode. The parameter space of Parrondo's paradox pertaining to each behavioral pattern, and the gradual change of...