Luís Alves

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This paper describes the work carried out in the InStory project. InStory has the goal of defining and implementing a platform for mobile storytelling, information access, and gaming activities. The platform has a flexible computational architecture that integrates heterogeneous devices, different media formats and computational support for different(More)
The evaluation of the gender-specific prevalence of cardiovascular risk factors across socioeconomic position (SEP) categories may unravel mechanisms involved in the development of coronary heart disease. Using a sample of 1704 community dwellers of a Portuguese urban center aged 40 years or older, assessed in 1999-2003, we quantified the age-standardized(More)
BACKGROUND Most migrant studies have compared health characteristics between migrants and nationals of the host country. We aimed at comparing health characteristics of migrants with nationals from their home country. METHODS Portuguese national health survey (2005-6; 30,173 participants aged 18-75 years) and four national health surveys conducted in(More)
BACKGROUND Most studies of the association between neighborhood socioeconomic deprivation and individual lifestyles leading to cardiovascular disease focused on a single cardiovascular risk factor. The concomitant assessment of more than one risk factor may provide clues to specific mechanisms linking neighborhood disadvantage to individual lifestyles. We(More)
BACKGROUND Information regarding the health status of migrants compared to subjects who remain in the country of origin is scarce. We compared the levels and management of the main cardiovascular risk factors between Portuguese living in Porto (Portugal) and Portuguese migrants living in Lausanne (Switzerland). METHODS Cross-sectional studies conducted in(More)
We want to create a working tool for mathematics teachers and a corresponding learning tool for students, namely a graphical simulator of mathematical algorithms (GraSMa). To achieve it we try two different strategies. We started by annotate manually the original algorithm with inspector functions. Now we are testing a new approach that aims to(More)
Mobile robotics is a challenging research area, with produced results that were unthinkable several years ago. There exist algorithms and methods capable of performing difficult tasks such as detect/classify objects, skill learning and SLAM. From the initial design steps, the real-time software architecture of a robotic platform requires great attention.(More)
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