Abstract
This paper describes a multiyear dynamic Transmission Expansion Planning, TEP, model to select and schedule along the planning horizon transmission expansion projects taken from a list supplied by the planner. The selection of the most adequate set of projects from this list is driven by the minimization of the investment plus operation costs while enforcing a number of constraints related with technical, financial and reliability issues. The developed approach also admits that nodal loads are modeled by triangular fuzzy numbers as a way to ensure obtaining more robust plans that is plans not only adequate for a deterministic set of future loads but plans that can accommodate load uncertainty. Finally, given the discrete nature of the problem, it was adopted a discrete version of the Evolutionary Particle Swarm Optimization algorithm, DEPSO, that proved very effective and shows good performance on several tests ran with the IEEE RTS system.

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Abstract
As the World's population gets older, diseases directly related to aging are increasingly becoming the focus of technological effort and research. Dementia, in general, and Alzheimer's disease (AD), in particular, is one of the most common afflictions among elderly people, with studies predicting an even bigger incidence in the next decades. Due to mobility constraints, patients are being inadequately followed by their medical staff, hindering an effective delay of the disease's progression through preventive therapeutics. As such, new ways of diagnosing, tracking and rehabilitating AD patients are needed. This paper presents STAlz, a mobile device based system developed to provide caregivers and medical professionals a way to be in contact and share important information, and to provide patients with a tool that could potentiate the exercise of their cognitive functions. This system was tested with Alzheimer's disease caregivers and the initial results proved promising. © 2013 IEEE.

Abstract
The international randomised targeted intraoperative radiotherapy (TARGIT) trial has demonstrated evidence of non-inferiority between the novel technique of TARGIT (intra-operative radiotherapy with Intrabeam(A (R))) and conventional external beam radiotherapy (EBRT) in women with early breast cancer in terms of the primary outcome measure of risk of local relapse within the treated breast. Cosmesis is an increasingly important outcome of breast conserving treatment with both surgery and radiotherapy contributing to this. It was unknown if the single high dose of TARGIT may lead to damaging fibrosis and thus impair cosmesis further, so we objectively evaluated the aesthetic outcome of patients within the TARGIT randomised controlled trial. We have used an objective assessment tool for evaluation of cosmetic outcome. Frontal digital photographs were taken at baseline (before TARGIT or EBRT) and yearly thereafter for up to 5 years. The photographs were analysed by BCCT.core, a validated software which produces a composite score based on symmetry, colour and scar. 342 patients were assessed, median age at baseline 64 years (IQR 59-68). The scores were dichotomised into Excellent and Good (EG), and Fair and Poor (FP). There were statistically significant increases in the odds of having an outcome of EG for patients in the TARGIT group relative to the EBRT group at year 1 (OR 2.07, 95 % CI 1.12-3.85, p = 0.021) and year 2 (OR 2.11, 95 % CI 1.0-4.45, p = 0.05). Following a totally objective assessment in a randomised setting, the aesthetic outcome of patients demonstrates that those treated with TARGIT have a superior cosmetic result to those patients who received conventional external beam radiotherapy.

Abstract
The use of real context simulation programs for training driving skills to control an intelligent wheelchair is an emergent area. The aim of this study is to verify if the exigency of use of the simulator of the IntellWheels project is adequate to the skills of children with cerebral palsy. A group study case was performed using children with cerebral palsy classified in the levels IV and V of the Gross Motor Function Classification System, aged between 6 and 12 years old. The user's performance in a wheelchair driving game using the Joystick and the Wiimote (for head movements' recognition) and the users' opinions about the system were studied. Results suggest that the system matches the children skills and it was verified that it was easier to drive the wheelchair with the joystick for most of the participants. Generally, the participants presented positive reactions, showing themselves satisfied with the experiment and convicted about the wheelchair future usability.

Abstract