The formation of professionals in the Epidemiology graduate course: the teaching strategies of an experiment

ABSTRACT The article describes and evaluates the experience of designing and implementing a graduate educational project aimed at training health professionals in the Epidemiology area. The teaching-learning experience, linked to the development of field-work in the formation of Epidemiology specialists, is analyzed with the purpose of deepening our reflections on the different teaching strategies adopted, and especially of valuing the innovation possibilities allowed by critical teaching. First, we deal with the social and health context within which the career in Epidemiology in the National University of Rosario (Argentina) is designed and implemented. Then, we look in detail at the possibilities for integrating educational practices and health interventions through the preparation of a curriculum plan. Finally, we examine the teaching strategy adopted. The paper concludes by identifying some of the challenges emerging from this educational evaluation

Robust estimation of vehicle sideslip angle from variables measured by ESC system

In the present paper, a sideslip angle virtual sensor design procedure is presented, based on the innovative observer/filtering method recently developed by the authors. The Virtual Sensor is directly designed from the experimental data collected from a testing car, without requiring the identification of a vehicle model. The achieved robust accuracy levels obtained in experimental tests have been considered satisfactory by a top level car maker, that has embedded the virtual sensor on three models of his super cars, whose estimates are used to improve the vehicle dynamic controls

A method for estimating variables affecting the vehicle dynamics and corresponding virtual sensor

Method for the estimation of at least a variable affecting a vehicle dynamics, including measuring dynamic variables of the vehicle during its motion, calculating in real time an estimate of said variable, on the basis of said measured dynamic variables (MQ)

Da necessidade à demanda: produzindo sujeitos

O texto visa mostrar parte da complexidade social atual - através dos conceitos de modernidade e pós-modernidade - enquanto possível produtora de subjetividades afetadas ou condicionadas pela dificuldade na constituição da dimensão simbólica e imaginária do sujeito e também as estratégias que se vislumbram, para a Psicologia, no sentido de poder incidir e intervir sobre essas questões

Crowdsensing for a sustainable comfort and for energy saving

Energy efficiency in buildings is a key issue in the current energy transition. In order to reduce building energy consumption, users’ behaviour and the perception of indoor environmental comfort must be taken into account; these aspects are inextricably linked to energy demand, consumption and related costs. In this paper, we present the methodological framework, technological solutions and outcomes of the Com- fortSense project. ComfortSense aimed at decoupling energy demand from indoor comfort. We focused on Heating, Ventilating and Air Conditioning (HVAC) systems in buildings, on users’ behaviour and on comfort perception by treating buildings as socio-technical systems. Our approach - which was multi- disciplinary and included the contribution of sociologists, physicists and computer scientists - was based on Internet of Things technologies, on a Living Lab design and testing process and on a Crowdsensing approach. Physical parameters (objective variables), such as temperature, CO 2 concentration and relative humidity, were measured by a Wireless Sensor Network and by wearable devices, while the users’ per- ception of comfort (subjective variables) were recorded as real-time feedback through a Mobile App in three pilot buildings of the University of Turin, engaging about a thousand buildings’ users (professors, researchers, students and employees). Objective and subjective variables were correlated through an ad- hoc Direct Virtual Sensor. Thanks to the Direct Virtual Sensor forecasting we demonstrated that, adopting an adaptive indoor comfort management, users’ comfort can be remarkably improved while reducing the energy consumption of HVAC systems