A efectividade da intervenção da fisioterapia nas disfunções crânio- cervico-mandibulares

Introdução: As teorias etiológicas recíprocas que relacionam as disfunções da articulação temporo mandibular (ATM) com as disfunções da coluna cervical, os seus critérios de diagnóstico e formas de tratamento, não reúnem consenso, constituindo, actualmente, uma temática de debate e investigação. Objectivo: Descrever a avaliação e intervenção em fisioterapia, e os seus resultados numa utente com disfunção do complexo crânio-cervico-mandibular. Métodos: Foi realizado um estudo observacional descritivo, do tipo estudo de caso, reportando-se a uma enfermeira, de 28 anos, com quadro sintomatológico compatível com disfunção crânio-cervico-mandibular, com antecedentes de condilectomia e artroplastia da ATM, aos 14 anos. Inicialmente a utente apresentava dor irradiada na região cervical (7/10) e limitação dos movimentos articulares da coluna cervical. Referia, também, dor na região do ptérion direito (6/10), limitação dos movimentos da mandíbula, desvio lateral na abertura da boca e dificuldades funcionais na mastigação. A avaliação inicial e final (após tratamento), foi efectuada recorrendo-se à utilização do Goniometro CROM e da Therabite Range of Motion Scale, para medição das amplitudes articulares da cervical e ATM, respectivamente; Estetoscópio, para avaliação dos sons articulares da ATM; Escala Visual Analógica para graduação da dor. A intervenção decorreu ao longo de 10 sessões, bissemanais. No tratamento, foram aplicadas técnicas sobre os trigers points da musculatura cervical e músculos da mastigação; Mobilização passiva da cervical e ATM; Manipulação dos segmentos vertebrais cervicais e torácicos; Streching e técnicas de energia muscular; Técnicas funcionais para a ATM; Técnicas miofasciais para a coluna cervical e ATM; Exercícios de controlo motor da coluna cervical. Resultados: No final do tratamento, as amplitudes dos movimentos cervicais estavam completas e sem dor (0/10), mantendo, sensibilidade dolorosa à palpação das espinhosas de C5-C6 (1/10). Relativamente à ATM, verifica-se a abolição da dor (0/10) e a ausência do desvio lateral da mandíbula na abertura da boca, bem como, o aumento das amplitudes de movimento na abertura da boca (33 para 36 mm), e no desvio lateral esquerdo (2 para 2,8 mm). Conclusão: os resultados sugerem que a intervenção, com recurso a técnicas de terapia manual, no caso em estudo, parecem surtir efeitos positivos no quadro sintomatológico e funcional da utente.

Celiac disease diagnosis and gluten-free food analytical control

Celiac disease (CD) is an autoimmune enteropathy, characterized by an inappropriate T-cell-mediated immune response to the ingestion of certain dietary cereal proteins in genetically susceptible individuals. This disorder presents environmental, genetic, and immunological components. CD presents a prevalence of up to 1% in populations of European ancestry, yet a high percentage of cases remain underdiagnosed. The diagnosis and treatment should be made early since untreated disease causes growth retardation and atypical symptoms, like infertility or neurological disorders. The diagnostic criteria for CD, which requires endoscopy with small bowel biopsy, have been changing over the last few decades, especially due to the advent of serological tests with higher sensitivity and specificity. The use of serological markers can be very useful to rule out clinical suspicious cases and also to help monitor the patients, after adherence to a gluten-free diet. Since the current treatment consists of a life-long glutenfree diet, which leads to significant clinical and histological improvement, the standardization of an assay to assess in an unequivocal way gluten in gluten-free foodstuff is of major importance.

Multi-criteria optimization manipulator trajectory planning

In the last twenty years genetic algorithms (GAs) were applied in a plethora of fields such as: control, system identification, robotics, planning and scheduling, image processing, and pattern and speech recognition (Bäck et al., 1997). In robotics the problems of trajectory planning, collision avoidance and manipulator structure design considering a single criteria has been solved using several techniques (Alander, 2003). Most engineering applications require the optimization of several criteria simultaneously. Often the problems are complex, include discrete and continuous variables and there is no prior knowledge about the search space. These kind of problems are very more complex, since they consider multiple design criteria simultaneously within the optimization procedure. This is known as a multi-criteria (or multiobjective) optimization, that has been addressed successfully through GAs (Deb, 2001). The overall aim of multi-criteria evolutionary algorithms is to achieve a set of non-dominated optimal solutions known as Pareto front. At the end of the optimization procedure, instead of a single optimal (or near optimal) solution, the decision maker can select a solution from the Pareto front. Some of the key issues in multi-criteria GAs are: i) the number of objectives, ii) to obtain a Pareto front as wide as possible and iii) to achieve a Pareto front uniformly spread. Indeed, multi-objective techniques using GAs have been increasing in relevance as a research area. In 1989, Goldberg suggested the use of a GA to solve multi-objective problems and since then other researchers have been developing new methods, such as the multi-objective genetic algorithm (MOGA) (Fonseca & Fleming, 1995), the non-dominated sorted genetic algorithm (NSGA) (Deb, 2001), and the niched Pareto genetic algorithm (NPGA) (Horn et al., 1994), among several other variants (Coello, 1998). In this work the trajectory planning problem considers: i) robots with 2 and 3 degrees of freedom (dof ), ii) the inclusion of obstacles in the workspace and iii) up to five criteria that are used to qualify the evolving trajectory, namely the: joint traveling distance, joint velocity, end effector / Cartesian distance, end effector / Cartesian velocity and energy involved. These criteria are used to minimize the joint and end effector traveled distance, trajectory ripple and energy required by the manipulator to reach at destination point. Bearing this ideas in mind, the paper addresses the planning of robot trajectories, meaning the development of an algorithm to find a continuous motion that takes the manipulator from a given starting configuration up to a desired end position without colliding with any obstacle in the workspace. The chapter is organized as follows. Section 2 describes the trajectory planning and several approaches proposed in the literature. Section 3 formulates the problem, namely the representation adopted to solve the trajectory planning and the objectives considered in the optimization. Section 4 studies the algorithm convergence. Section 5 studies a 2R manipulator (i.e., a robot with two rotational joints/links) when the optimization trajectory considers two and five objectives. Sections 6 and 7 show the results for the 3R redundant manipulator with five goals and for other complementary experiments are described, respectively. Finally, section 8 draws the main conclusions.

B-learning quality: dimensions, criteria and pedagogical approach

Measuring the quality of a b-learning environment is critical to determine the success of a b-learning course. Several initiatives have been recently conducted on benchmarking and quality in e-learning. Despite these efforts in defining and examining quality issues concerning online courses, a defining instrument to evaluate quality is one of the key challenges for blended learning, since it incorporates both traditional and online instruction methods. For this paper, six frameworks for quality assessment of technological enhanced learning were examined and compared regarding similarities and differences. These frameworks aim at the same global objective: the quality of e-learning environment/products. They present different perspectives but also many common issues. Some of them are more specific and related to the course and other are more global and related to institutional aspects. In this work we collected and arrange all the quality criteria identified in order to get a more complete framework and determine if it fits our b-learning environment. We also included elements related to our own b-learning research and experience, acquired during more than 10 years of experience. As a result we have create a new quality reference with a set of dimensions and criteria that should be taken into account when you are analyzing, designing, developing, implementing and evaluating a b-learning environment. Besides these perspectives on what to do when you are developing a b-learning environment we have also included pedagogical issues in order to give directions on how to do it to reach the success of the learning. The information, concepts and procedures here presented give support to teachers and instructors, which intend to validate the quality of their blended learning courses.

Multi-criteria optimisation approach to increase the delivered power in radial distribution networks

This study proposes a new methodology to increase the power delivered to any load point in a radial distribution network, through the identification of new investments in order to improve the repair time. This research work is innovative and consists in proposing a full optimisation model based on mixed-integer non-linear programming considering the Pareto front technique. The goal is to achieve a reduction in repair times of the distribution networks components, while minimising the costs of that reduction as well as non-supplied energy costs. The optimisation model considers the distribution network technical constraints, the substation transformer taps, and it is able to choose the capacitor banks size. A case study based on a 33-bus distribution network is presented in order to illustrate in detail the application of the proposed methodology.