Abstract
Human collective set of experiences makes us who we are and help us delineate a path for our ongoing life. Ageing, however, progressively limits our ability to save, in our internal memory, these same experiences, or, at least, limits our capability to remember them. The capability to remember, intrinsic to our memory, is a very important one to us, as a human been, being this what deferent's us from several other species. In this paper we present a memory assistant sub module of a bigger project, the VirtualECare, which ability will be to remember us, not our past experiences, but our routine day-to-day tasks and activities, in a somehow proactive manner, thus, allowing us to have some relaxation about them, and focus the remaining of our ability in most important facts.

Abstract

Abstract
In the present-day the ageing population is not receiving the proper attention and care they need, because there aren't enough healthcare providers to everyone. As the elderly relatives have less time to take care of them the healthcare centers are without any doubt insufficient for all, for these reasons there is an extra pressure or demand on the healthcare sector. Focusing on the elderly care, as the human capacity of memorizing events decreases over time, it is intended to promote an active ageing lifestyle for the elderly, where memory assistance tools are vital component. In this paper, it is presented an scheduler which takes charge of the day-to-day tasks and the user agenda.

Abstract
The interactions that occur among participants in online forums frequently are an important criteria in evaluating learning methodologies practiced in e-learning contexts. Not only are the interactions between peers an important resource of information, but also, the way the teacher interacts with students. However, apart from general statistics available in common online learning platforms, this type of information is difficult to retrieve. A graphical mapping based on social network analysis theory, of such interactions that occur in online environments, is proposed as a possible solution for automatically depicting and analyzing relations that are established between participants in online forums. In this paper we present a system which provides learning management systems with an additional tool for graphically mapping and analyzing student-student and teacher-student interactions. The system represents both current network interactions and a historical graphical slideshow of online interactions between participants.

Abstract
Dynamic voltage stability has been an important problem in electric power systems. The dynamic behavior of modern power networks has been experiencing significant changes mainly due to the restructuring of electric industry, the introducing of open market environment and competition. In this paper it is presented a methodology to assess the dynamic voltage stability of an electric power system using trajectory sensitivity analysis. Trajectory sensitivity analysis can provide valuable insights into the security of an electric power system. In this study it was simulated a significant load demand disturbance in a test power network. The Automatic Voltage Regulator of the generating units, the Under Load Tap Changer and loads models were taken into account. The simulation results were obtained using EUROSTAG program and post-processing module developed using the Mat lab software package.

Abstract
Indoor radon activities were measured during a period of 6 months, as well as several physical environmental variables (temperature, pressure, humidity and rainfall). The location was a small room at an administrative building of the University of Coimbra, usually undisturbed by human activities and situated over bedrock of low-uranium Triassic red sandstones. A low average activity of radon was observed (36 Bq m(-3)), however showing a very well marked daily periodicity (10 +/- 5 Bq m(-3)), with maximum values occurring more frequently between 9 and 10 a.m. Daily variations are shown to have no relation with earth tides, and their amplitudes exhibit a significant correlation with outdoor temperature; no dependence on barometric pressure was found. Rainfall disturbs the observed daily radon cycles through a strong reduction of their amplitude, but has no effect on the long-term variability of the gas concentration.