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Shortage of medical personnel and the existence of inexperienced ones, are frequently the causes of false diagnosis, and call for a reflection on the methods of training of the later. One of the solutions might be the application of new technologies in the training of medical students, in order to counter the shortage of experts as well as training conditions which are usually inadequate (no patients available for practice). The aim of this paper is to propose a virtual patient, on which an expert can formulate pathology, and hand this patient to a learner for exercises on medical diagnostics.

Shortage of medical personnel and the existence of inexperienced ones, are frequently the causes of false diagnosis, and call for a reflection on the methods of training of the later. One of the solutions might be the application of new technologies in the training of medical students, in order to counter the shortage of experts as well as training conditions which are usually inadequate (no patients available for practice). The aim of this paper is to propose a virtual patient, on which an expert can formulate pathology, and hand this patient to a learner for exercises on medical diagnostics

Many physical phenomena can be modeled as the propagation of sound or radio waves, the fluids flow, the distribution of gas, the dispersion produced in a river, etc. With the help of the AC we can deduce very realistic situations. In previous work, we simulated the propagation of sound in the city using cellular automata, taking into account the urban parameters. In that works, we used horizontal bars to simulate the presence of obstacles (buildings and others) in the sound propagation environment. These obstacles have been defined with arbitrarily fixed coefficients of resistance. In this paper, we rely on the models and algorithms proposed in previous works, to observe the behavior of our simulations of sound, in a concrete environment of obstacle. For this we use NetGen[1], which is a map processing tool. PickCell allows us to analyze the behavior of sound in a concrete environment

Unlike conventional software, robotic software suffers from a lack of methods and processes that could systematize and facilitate development. Thus, the application of software engineering techniques is at the heart of current issues in robotics. The work presented in this paper aims to facilitate the development of robotic software and to facilitate communication between experts in the field through the use of software engineering techniques and methods. It proposes RsaML (Robotic Software Architecture Modeling Language), a Domain Specific Modeling Language (DSML) dedicated to robotics, which takes into account the different categories of robotic software architectures and makes it possible to describe the latter independently from the implementation platform. The conceptual model defining the terminology and the hierarchy of concepts used for the description and representation of robotic software architectures in RsaML are presented in this article. RsaML is defined through a meta-model which represents the abstract syntax of the language. The real-time properties of robotic software architectures are identified and included in the meta-model. The use of RsaML is illustrated through several experimental scenarios of the language: the definition of a robotic system and the description of its software architecture, the verification of the semantics of a robotic software architecture, and the modeling of a robotic system whose software architecture does not belong to the usual categories. The support tool used for implementations and experimentation is Eclipse Modeling Framework (EMF). The results of experimentation showed good working of the proposed solution and made it possible to validate the main concepts of the RsaML language.