Abstract

Abstract
Wind power probabilistic forecast is a key input in decision-making problems under risk, such as stochastic unit commitment, operating reserve setting and electricity market bidding. While the majority of the probabilistic forecasting methods are based on quantile regression, the associated limitations call for new approaches. This paper described a new quantile regression model based on the Reproducing Kernel Hilbert Space (RKHS) framework. In particular, two versions of the model, off-line and on-line, were implemented and tested for a real wind farm. Results showed the superiority of the on-line approach in terms of performance, robustness and computational cost. Additionally, it was observed that, in the presence of correlated data, the optimal on-line learning may cause unreliable modelling. Potential solutions to this effect are also described and implemented in the paper.

Abstract
O artigo discute a importância da indústria de petróleo para a economia do estado do Rio de Janeiro e municípios produtores. Através de dados, mostra o papel que o boom das commodities teve sobre a dinâmica econômica fluminense. Por fim, apresenta questõe

Abstract
Universities and polytechnics are educational institutions that make decisions within the university management, taking into account various factors such as the number of vacancies to offer ( not only the university, as each course itself), the courses setting strategy and his regime, the type of the course and publication. This paper presents a study on the evolution of vacancies and students placed in higher education in Portugal, taking into account an analysis of data from the page of the Ministry of Education and Higher Education from 2004 until 2015. The results show that vacancies available experienced a positive increase. However, since 2010 until the last year, there has been a progressive decrease. In relation to the number of students placed, this has been subject to fluctuations and some turning points, but in the last two years showed an increase. The most popular courses were Management and Medicine, and those who had more students were Nursing and Management.

Abstract
Modelling dietary intake of older adults can prevent nutritional deficiencies and diet-related diseases, improving their quality of life. Towards such direction, a Fuzzy Cognitive Map (FCM)-based modelling approach that models the interdependencies between the factors that affect the Quality of Nutrition (QoN) is presented here. The proposed FCM-QoN model uses a FCM with seven input-one output concepts, i.e., five food groups of the UK Eatwell Plate, Water (H2O), and older adult's Emotional State (EmoS), outputting the QoN. The weights incorporated in the FCM structure were drawn from an experts' panel, via a Fuzzy Logic-based knowledge representation process. Using various levels of analysis (causalities, static/feedback cycles), the role of EmoS and H2O in the QoN was identified, along with the one of Fruits/Vegetables and Protein affecting the sustainability of effective food combinations. In general, the FCM-QoN approach has the potential to explore different dietary scenarios, helping health professionals to promote healthy ageing and providing prognostic simulations for diseases effect (such as Parkinson's) on dietary habits, as used in the H2020 i-Prognosis project (www.i-prognosis.eu).

Abstract
A hybrid optical sensing scheme based on a fiber Bragg grating (FBG) combined with a titanium dioxide coated long period fiber grating (LPFG) for monitoring organic solvents in high refractive index edible oils is reported. In order to investigate and optimize the sensor performance, two different FBG/LPFG interrogation systems were investigated. The readout of the sensor was implemented using either the wavelength shift of the LPFG resonance dip or the variation in the optical power level of the reflected/transmitted light at the FBG wavelength peak, which in turn depends on the wavelength position of the LPFG resonance. Hexane concentrations up to 20%V/V, corresponding to the refractive index range from 1.451 to 1.467, were considered. For the transmission mode of operation, sensitivities of 1.41 nm/%V/V and 0.11 dB/%V/V, with resolutions of 0.58%V/V and 0.29%V/V, were achieved when using the LPFG wavelength shift and the FBG transmitted optical power, respectively. For the FBG reflection mode of operation, a sensitivity of 0.07 dB/V/V and a resolution better than 0.16%V/V were estimated.