Abstract
Technological evolution has led to a significant transformation in tourism organizations, particularly in those who focus their activities on particular themes or segments, such as wine tourism. This can be transposed to Portuguese wine tourism organizations because the majority lack the necessary information and communication technologies (and inherent technologies) to become globally competitive. As highlighted in the literature, for a tourism experience to become memorable it must be emotional and immersive in such a way that the tourist becomes fully involved with the existing surroundings. This leads to the notion of using virtual reality experiences as triggers for the development of wine tourism. Considering the relevance of Portugal's Douro Valley to the country's wine tourism segment, a theoretical model that supports the implementation of multisensory (hence more immersive) virtual wine tourism experiences is developed. While considering the international success of Port wine tourism, this paper also presents a conceptualization of a multisensory virtual Port wine experience that includes a conceptual perspective and a technological solution proposal.

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The MOOC (Massive Open Online Courses) are the latest training model offered. They are online training courses, open and free, and for massive access. But are these features enough to attract potential participants? What are the characteristics of those who are most likely to enroll in a MOOC? To address these and other underlying issues a quantitative methodology was adopted, in the form of an online survey. The study was applied to the adult population of Aveiro district (Portugal) with over nine years of schooling. The sample consists of 424 individuals, and its sociodemographic characteristics equivalent to the population under study. 86.6% of the participants were unaware of the MOOC concept, but there are no significant differences in perceptions about the MOOC among those who knew and those who did not know the concept. The intention to participate in a MOOC is higher among the younger, the ones who have an academic degree, the more autonomous in terms of learning, the ones that have higher Internet and social network skills, the ones who already knew the concept, and who predict change on their employment status. This study provides clues to the identification of target segments and promotion strategies for MOOCs offered in Portugal.

Abstract
Integrating wind and solar energy resources poses intermittency to power systems, which faces independent system operators with new technical and economic challenges. This study proposes a novel model to integrate the uncertainties of wind power on the supply side and roof-top solar photovoltaic (PV) on the demand side. To cope with their uncertainties, a demand response (DR) aggregator is proposed, which is enabled to participate in reserve markets. To this end, a new DR model is developed considering both customers' options to reduce and increase load through the DR aggregator. As such, besides improving the existing DR models (load shifting and curtailment), two DR programmes, i.e. load growth and load recovery, are mathematically modelled. Numerical studies indicate the effectiveness of the proposed model to reduce the total operation cost of the system and facilitate the integration of wind power and roof-top PV.

Abstract
Deep transfer learning emerged as a new paradigm in machine learning in which a deep model is trained on a source task and the knowledge acquired is then totally or partially transferred to help in solving a target task. In this paper, we apply the source-target-source methodology, both in its original form and an extended multi-source version, to the problem of cross-sensor biometric recognition. We tested the proposed methodology on the publicly available CSIP image database, achieving state-of-the-art results in a wide variety of cross-sensor scenarios.