Abstract
Aim: We investigated the demographic, anthropometric, clinical, biochemical and behavioural factors associated with children and adolescents who missed breakfast. Methods: This 2012 cross-sectional study was carried out in the city of Juiz de Fora, Brazil, with a sample of 684 students: 191 children aged 7-9 and 493 adolescents aged 10-14. Data on demographic, physical activity and breakfast consumption were based on a 24-hour recall record and a three-day dietary record. Weight, height, body fat, waist circumference and blood pressure were also measured. Finally, samples were collected for analysis of blood total cholesterol, low-density and high-density lipoproteins, triglycerides and glucose. The statistics are presented as prevalence ratios (PR) with 95% confidence (95% CI) intervals. Results: Missing breakfast was more common among adolescents than children (30% versus 22%) and among girls of all ages than among boys (33% versus 22%). It was also associated with children, but not adolescents, with increased levels of diastolic blood pressure (PR 5.6, 95% CI 1.8-17.4), total cholesterol (PR 1.5, 95% CI 1.2-1.9) and low-density lipoprotein (PR 2.1, 95% CI 1.5-2.9). Conclusion: Missing breakfast was more common among adolescents and females and associated with increased levels of diastolic blood pressure, total cholesterol and low-density lipoprotein in children.

Abstract
Kinematic analysis of human movement is very important in several areas, such as in sports (e.g., for athletic performance analysis), health (e.g., rehabilitation of people with motor disabilities) and others. The study of the kinematics of the human body involves several methods that resort to the analysis of several parameters that come from the movement. Important parameters to take into account are the acceleration, velocity and position (linear or angular) of the various articulations of the human body, which can be measured by sensors or through the analysis of repeated images obtained by camera. In this paper will be presented a suit that acquire the different position of human joints that will be useful in rehabilitation, FatoXtract. It is through the analysis of human movement that we can analyze whether the movement in rehabilitation is adequate or not.

Abstract
Aging of Tawny Port wine is a multifactorial process critical for attaining the desired quality. Real time monitoring of important intrinsic and extrinsic factors that are known to affect the time and quality of the aging process are important to optimize and to manage the natural variability between wines aged in different long used wood barrels. For this study, a distributed monitoring system was installed in sixteen oak barrels, placed in two adjacent wineries - one of them with controlled temperature in the Douro Demarcated Region, Portugal. The monitoring process was performed using a RS-485 industrial network, which interconnects sensors that continuously measure wine temperature, pH, redox potential and wine's dissolved oxygen, as well as other sensors that measure parameters related to the barrels' environmental context, such as room temperature and relative humidity. This work presents the design, development and implementation of a remote distributed system to monitor such parameters, aiming to determine the existence of behaviour models for Port Tawny wine during aging in long-used oak barrels, depending on their storage history and to understand the evolution of wine pH, dissolved oxygen and redox potential in real winery conditions as well as their dependence on the wine's storage temperature. This approach is based on easy-to-use embedded systems, with the aim of giving a relevant contribution to other projects in the area of precision enology.

Abstract
This paper looks over the perpetual fight that low density regions must face in what regards the emergence of economic opportunities, employment, income and production growth. It is known that tourism demand for nature and protected areas is increasing in this more and more urban world, what can open some doors for innovation to take place. The project we’ve been working on is focused on sustainable tourism practices in a protected area (Malcata Mountain Reserve), via electric mobility, which is known for its zero emission, non-polluting and noise free travelling. A broader study is taking place under the Interreg Funding Program, known as Moveletur Project. Our goals are to sponsor a model of sustainable and green tourism for visitors of natural areas, to produce a network of green tourism itineraries linking places of natural and/or cultural value using rechargeable vehicles and to encourage tourism sector entrepreneurs with a new service for their activity. Combined work with other natural areas is essential to increase outcomes. After the conclusion of project (by the end of 2018) there will be better information concerning natural and cultural values that natural areas hold and that can be used for tourists’ pleasure, there will be a more dutiful way of doing tourism in natural areas, expectantly it will address job creation and improved territorial competitiveness, tourism experiences will have more quality and, finally, using technological features, will support smart villages further development.

Abstract

Abstract
Fault localization has been one of the most expensive activity in the whole debugging process. The spectrum-based fault localization (SBFL) is the most studied and evaluated technique. Other approach is the mutation-based fault localization technique (MBFL) that needs to execute the test suite on a large amount of mutants increasing its cost. Efforts from research community have been performed in order to achieve solutions reducing such cost and keeping a minimum quality. Current mutation execution strategies are evaluated considering artificial faults. However, recent researches show that some MBFL techniques exhibit low efficacy fault localization when evaluated on real faults. In this paper, we propose a new mutation execution strategy based on failed tests’ mutation score, called (FTScMES), aiming to increase the efficacy on fault localization reducing the cost of mutants execution. FTScMES uses only the set of failed test cases to execute mutants and bases on mutation score concept to compute the suspiciousness statements. The experiments were conducted considering 221 real faults, comparing the efficacy of localization of FTScMES against 5 baselines from the literature. We found that FTScMES outperforms the baselines reducing the cost in 90% on average with a high efficacy of ranking defective code.