a b s t r a c tTourism is one of the major sources of income for many countries. Therefore, providing efficient, real time service for tourists is a crucial competitive asset which needs to be enhanced using major technological advances. The current research has the objective of integrating technological innovation into an information system, in order to build a better user experience for the tourist. The principal strength of the approach is the fusion of con text aware pervasive systems, GIS systems, social networks and semantics. This paper pre sents the SPETA system, which uses knowledge of the user's current location, preferences, as well as a history of past locations, in order to provide the type of recommender services that tourists expect from a real tour guide.

Depression and anxiety are of the most commonly occurring mental health disorders in the United States. Despite a variety of efficacious interventions for depression and anxiety, it is clear that ethnic minorities experience mental health care disparities in their access to mental health services and the quality of treatment they receive. Research indicates that Latino heterogeneity impacts access to depression and anxiety treatment. In addition, Brazilians are becoming an increasingly visible minority within the United States and are often depicted as Latinos. The current study sought to understand the role of acculturation and stigma in mental health symptom endorsement and treatment seeking among Puerto Ricans, immigrant Latinos, and Brazilians. A total of 250 self-identified Latinos and Brazilians were interviewed about their mental health symptom and treatment experience, acculturation, and stigma toward mental illness. Results indicated considerable variability across the three groups, with Puerto Ricans endorsing higher rates of depression and anxiety, as well as higher rates of treatment seeking, than either the immigrant Latinos or the Brazilians. Acculturation played a differential role in the endorsement of anxiety treatment seeking for Brazilians. Finally, although the three groups differed in the extent to which they experienced stigma about mental health issues, stigma did not predict symptom endorsement or treatment-seeking behavior for any of the three groups. These findings underscore the importance of attending to both between-groups and within-group differences in the mental health and mental health treatment experiences of different ethnic groups.

A worldwide movement towards the publication of Open Government Data is taking place, and budget data is one of the key elements pushing this trend. Its importance is mostly related to transparency, but publishing budget data, combined with other actions, can also improve democratic participation, allow comparative analysis of governments and boost data-driven business. However, the lack of standards and common evaluation criteria still hinders the development of appropriate tools and the materialization of the appointed benefits. In this paper, we present a model to analyse government initiatives to publish budget data. We identify the main features of these initiatives with a double objective: (i) to drive a structured analysis, relating some dimensions to their possible impacts, and (ii) to derive characterization attributes to compare initiatives based on each dimension. We define use perspectives and analyse some initiatives using this model. We conclude that, in order to favour use perspectives, special attention must be given to user feedback, semantics standards and linking possibilities.

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