Browsing by Issue Date, starting with "2013-03"
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- Evidence-based rehabilitation after acquired brain injury: a clinical trial on a holistic neuropsychological rehabilitation programPublication . Guerreiro, Sandra; Almeida, Isabel; Rocha, Benedita Martins; Dores, Artemisa Rocha; Vicente, Selene; Castro-Caldas, Alexandre; Barbosa, FernandoComprehensive-holistic neuropsychological programs have been recommended as a practice standard during post-acute rehabilitation in order to reduce cognitive and functional disability after moderate or severe brain injury. One major challenge of clinical research is to provide systematic data for the development of evidence-based neuropsychological rehabilitation. Rehabilitation after brain injury is concerned with reducing levels of disabil ity, either through restoration, or the use of adaptive and compensatory strategies. The goal of rehabilitation is not only the remediation of cognitive impairment, but mainly the establishment of a meaningfully and satisfactory life in face of persisting limitations. Outcomes may be assessed at the level of impairment, activity or participation. This study aims to evaluate the effi cacy of the Holistic Neuropsychological Rehabilitation Program (HNRP), held in Centro de Reabilitação Professional de Gaia in cognitive perform ance, emotional stability, functional ability and quality of life.
- Effects of emotional valence and three-dimensionality of visual stimuli on brain activation: an fMRI studPublication . Dores, Artemisa Rocha; Almeida, I.; Barbosa, F.; Castelo-Branco, M.; Guerreiro, S.; Almeida, I.; Reis, M.; Sousa, L. de; Castro Caldas, A.Examining changes in brain activation associated with emotion-inducing stimuli is essential to the study of emotions. Due to the ecological potential of virtual reality in neurocognitive rehabilitation, inspection of whether brain activation in response to emotional stimuli can also be modulated by the three-dimensional properties of the images is now important. This study sought to test whether the activation of brain areas involved in the emotional processing of scenarios of different valences can be modulated by three dimensionality. It focused on the interaction effect among emotion-inducing stimuli of different emotional valences (pleasant, unpleasant and neutral valences) and visualization types (2D, 3D).
- Day-ahead Resource Scheduling Including Demand Response for Electric VehiclesPublication . Soares, João; Sousa, Tiago; Morais, Hugo; Vale, ZitaThe energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and massive gridable vehicle (V2G) use is envisaged. This paper presents a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and V2G. The main focus is the comparison of different EV management approaches in the day-ahead energy resources management, namely uncontrolled charging, smart charging, V2G and Demand Response (DR) programs i n the V2G approach. Three different DR programs are designed and tested (trip reduce, shifting reduce and reduce+shifting). Othe r important contribution of the paper is the comparison between deterministic and computational intelligence techniques to reduce the execution time. The proposed scheduling is solved with a modified particle swarm optimization. Mixed integer non-linear programming is also used for comparison purposes. Full ac power flow calculation is included to allow taking into account the network constraints. A case study with a 33-bus distribution network and 2000 V2G resources is used to illustrate the performance of the proposed method.
- Modified Particle Swarm Optimization Applied to Integrated Demand Response and DG Resources SchedulingPublication . Faria, Pedro; Soares, João; Vale, Zita; Morais, Hugo; Sousa, TiagoThe elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. The intensive use of Distributed Energy Resources (DER) and the technical and contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes a Particle Swarm Optimization (PSO) based methodology to support the minimization of the operation costs of a virtual power player that manages the resources in a distribution network and the network itself. Resources include the DER available in the considered time period and the energy that can be bought from external energy suppliers. Network constraints are considered. The proposed approach uses Gaussian mutation of the strategic parameters and contextual self-parameterization of the maximum and minimum particle velocities. The case study considers a real 937 bus distribution network, with 20310 consumers and 548 distributed generators. The obtained solutions are compared with a deterministic approach and with PSO without mutation and Evolutionary PSO, both using self-parameterization.
- Measures of neuropsychological assessment as indicators of success in neuropsychological rehabilitation: an exploratory correlational studyPublication . Mendes, Liliana; Barbosa, F.; Reis, L.P.Neuropsychological assessment not only allows diagnosing possible neurocognitive impairments in domains such as attention, working memory, and executive functions, but can also provide useful information for the neuropsychological rehabilitation. By applying a set of valid neuropsychological tests to individuals with Acquired Brain Injury (ABI), and subsequently studying how patients’ performance in rehabilitation programs relates with measures that are commonly provided by these tests, we may obtain valuable predictors of individual success that can be considered in neuropsychological rehabilitation.