Postgraduate Education Strategy’s for the Smoking Control in Cuba

Background: Smoking control is full important in Cuba. Cuban tobacco industry looks for the significant tobacco consumption growing. However, Cuban Public Health has a national program against smoking. This health institution contributes to generalist some smoking researches. By this institution is possible to call the main health professional related with the smoking control around the country. Much from these professionals haven´t a sufficient academic formation in Health Economy subjects for the smoking control. This condition and previous related are showing the real necessity to make available a postgraduate strategic for the smoking economic control since the Health Economy point of view. Objective. To design a postgraduate educational strategic for the smoking economic control in Cuba. Materials and Methods. Theoric methods: inductive – deductive, comparative and systematization. Empiric method: bibliographic and documental research. Results. The postgraduate educational strategic appoint to the professionals from the Public Health close related to the smoking control. It is formed by six courses, one of them is a diploma course. Inside each course a subject is supported by the previous. By this way is possible obtain a logic process in the postgraduate teaching about the smoking economic control. Conclusions. Was designed a postgraduate educational strategic for the smoking economic control in Cuba, agree to real needs from the health professionals related with the smoking control.

Design of Interactional Decision Support Applications for E-Participation in Smart Cities

Nowadays, the number of human to application system interactions is dramatically increasing. For instance, citizens interact with the help of the internet to organize meetings spontaneously. Furthermore, standards such as Business Process Model and Notation (BPMN) and the Decision Modeling Notation (DMN) allow the creation of graphical models to document the (interaction) processes. Moreover, simulations and automations can be set up to encounter new technical challenges. Smart Cities aim at enabling their citizens to use these digital services. However, looking beyond technology, there is still a significant lack of interaction and support between “normal” citizens and the public administration. This article introduces an approach, which describes the design of enhanced interactional applications for decision support in Smart Cities based on Dialogical Logic process patterns. The authors demonstrate the approach with the help of a use case concerning a budgeting scenario as well as a summary and outlook on further research.