Abstract
This paper describes an enhanced model for the Short Term Hydro Scheduling Problem, HSP, that includes the impact of operation decisions on the market prices and the possibility of adjusting the tailwater level and the generation and pumping efficiencies as a function of the flow. The solution approach uses an iterative procedure that solves in each iteration a linearized HSP problem using the linprog function of the MATLAB (R) Optimization Toolbox and that updates the value of the head to be used in the next iteration. The paper also includes results from a realistic Case Study based on the cascade of 9 hydro stations (4 of them with pumping) installed in the Portuguese section of the Douro River.

Abstract
In response to recent calls for further cross-disciplinary research on austerity and a deeper sociological understanding of the impact and aftermath of the economic crisis on individuals and societies, this article builds on extant austerity literature through an exploration of its effects on European men. Informed by theories of liminality and rites of passage, this qualitative investigation examines the experience of austerity from the perspective of 11 men through the three liminal stages of separation, transition and reaggregation and investigates its impact on their identity, responsibilities and expectations. Our findings reveal the negative experiences of alienation and outsiderhood alongside positive experiences of communitas, solidarity and comradeship. The study provides a nuanced understanding of modern male Europeans and their rites of passage' through austere times.

Abstract
The Pyramid wave-front sensor (WFS) is currently the baseline for several future adaptive optics (AO) systems, including the First light systems planned for the era of Extremely Large Telescopes (ELTs). Extensive investiga-tion into the Pyramid WFS aim to prepare for this new generation of AO systems, characterizing its behavior under realistic conditions and developing experimental procedures to optimise performance. An AO bench at Laboratoire d'Astrophysique de Marseille has been developed to analyze the behavior of the Pyramid and develop the necessary operational and calibration routines to optimize performance. The test bench comprises a Pyramid WFS, an ALPAO 9-9 deformable mirror (DM), a rotating phase screen to simulate atmospheric turbulence and imaging camera. The Pyramid WFS utilizes the low noise OCAM2 camera to image the four pupils and real time control is realized using the adaptive optics simulation software OOMAO (Object Oriented Matlab Adaptive Optics toolbox).1 Here we present the latest experimental results from the Pyramid test bench, including comparison with current Pyramid models and AO simulations. We focus on the calibration of the AO system and testing the impact of non-linear effects on the performance of the Pyramid. The results demonstrate good agreement with our current models, in particular with the addition of more realistic elements: non-common path aberrations and the optical quality of the Pyramid prism.

Abstract
In this paper, we consider a sequential allocation problem with n individuals. The first individual can consume any amount of a resource, leaving the remainder for the second individual, and so on. Motivated by the limitations associated with the cooperative or non-cooperative solutions, we propose a new approach from basic definitions of representativeness and equal treatment. The result is a unique asymptotic allocation rule for any number of individuals. We show that it satisfies a set of desirable properties. © 2016, Springer Science+Business Media Dordrecht.

Abstract
Taking the case of the University of Aveiro, we herein analyse why students choose to abandon their higher education degrees. To date, and as a result of focus group and brainstorming interactions, as well as of an analysis performed at the highest levels in the university, the following twelve causes for abandonment were identified: 1. Difficulty in adapting to the first year at university; 2. Financial difficulty and not being granted, as requested, a student scholarship; 3. Not being able to finish a satisfactory number of subjects, in the first year at university; 4. Missing a lot of lectures, which makes passing more difficult; 5. Being somewhat immature and subsequently not adapting to the challenges, often a long way from home; 6. Entering the university in a later recruitment stage, later than everyone else, and thus experiencing added difficulty in accompanying the syllabus; 7. Not being in a degree which was the first study choice, as the student's marks were not good enough, leading to low motivation levels; 8. Being one of the lower-end students in class, and thus having difficulty in keeping up; 9. Being a part-time student, while maintaining a full-time working job, which makes passing subjects harder; 10. Doing an internship, and subsequently being offered a job, which the student accepts, due to current financial priorities, leading to premature abandonment of university; 11. Having difficulty in passing one subject in particular (e.g. Calculus or Statistics), leading to the student abandoning higher education altogether; 12. Thinking that higher education is too theoretical, and therefore not worthwhile, and preferring to go right into the job market, to gain work experience. We also performed three interviews with students from various Higher Education Institutions (HEI), who dropped out of higher education, the data collected having confirmed what was stated above. Being aware of these issues and taking action (from a relationship marketing and services perspective) at the highest levels in a HEI is a good path towards success, as is occurring at the University of Aveiro. However, it will ultimately be up to the students, in the end, to decide whether studying is worthwhile thus keeping dropout to a minimum.

Abstract
Posicast feedback control systems are very sensitive to model uncertainty. This paper proposes the use of Particle Swarm Optimization (PSO) to auto-tune two-degrees of freedom control systems. The system considers as a pre-filter a half-cycle Posicast command shaper and a PID controller in the feedback loop. A model reference technique is proposed to track differences among model and system to be controlled, feeding a decision block which will trigger an auto-tuning optimization mechanism. Preliminary simulation results are presented showing the proposed technique effectiveness to deal with prescribed plant uncertainties.