955 resultados para Visual methods
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Tese de doutoramento em Ciênicas da Educação: especialidade de Teoria Curricular e Ensino das Ciências
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Dissertação de mestrado em Ciências da Educação: área de Educação e Desenvolvimento
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I - Inserido no Concelho de Odivelas, cuja realidade e contexto sócio cultural realçam a problemática da diversidade cultural, colocando ao professor dúvidas e dificuldades emrelação às suas práticas educativas, o Conservatório de Música D. Dinis é a escola na qual leciono desde 1993. É também local de reflexão permanente quanto aos critérios e condições que devem nortear a prática pedagógica contemporânea na área da música, cujo objetivo assenta na formação integral do aluno através da utilização de estratégias de ensino que o responsabilizem na própria aprendizagem. Considerando estes desafios, o seguinte trabalho será realizado no contexto da minha classe de violino e incidirá sobre três alunos em particular, que frequentam os seguintes graus, a saber: 1 - Iniciação (1º ciclo do ensino básico); 2 - 2º grau (2º ciclo do ensino básico); 3 - 5º grau (3º ciclo do ensino básico). Apesar de acreditar nas suas capacidades de aprendizagem e ter um cuidado especial sobre as minhas ações e os efeitos destas na aprendizagem académica e social dos meus alunos, os resultados finais são reveladores da importância da motivação, do apoio parental e da responsabilidade dos alunos na obtenção do seu próprio sucesso escolar.
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The investigation which employed the action research method (qualitative analysis)was divided into four fases. In phases 1-3 the participants were six double bass students at Nossa Senhora do Cabo Music School. Pilot exercises in creativity were followed by broader and more ambitious projects. In phase 4 the techniques were tested and amplified during a summer course for twelve double bass students at Santa Cecilia College.
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Relatório de estágio apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Gestão Estratégica das Relações Públicas.
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Preventable visual loss in children is an important public health problem. The critical period of susceptibility to deprivation or abnormal visual experience has been identified since the early 1970s. Preventable visual loss caused by amblyopia (0.3%–4%) and its risk factors such as strabismus (2.1%–4.6%) and uncorrected refractive errors (5%–7.7%) represent an important public health problem. Thus the primary justification for preschool vision screening is the detection of amblyopia or amblyogenic refractive, strabismic, or ocular disease conditions. However in Portugal there has been little investigation regarding prevalence of visual anomalies among school-age children. Data on the prevalence are lacking but are needed for planning vision services. Aims: 1) Determine the prevalence of strabismus; 2) Determine the prevalence of decreased visual acuity; 3) Determine the prevalence of uncorrected refractive error.
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Speleologist’s perform their activity in demanding visual conditions of very low luminance - many visual tasks involve resolution of detail under conditions of low contrast. Work related conditions in a cave as exposure to heat, chemicals, dust and poor lighting conditions could influence the integrity of the visual system and predispose the eye to diseases that eventually affect vision. Poor lighting conditions cause a variety of symptoms of visual discomfort and may increase the risk of accidents. Good visual acuity is crucial for several and has an important role for safety purposes. The aim of this study was to evaluate lighting conditions and optical filters effects on visual performance in speleologists exposed to cave environments.
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Optimization problems arise in science, engineering, economy, etc. and we need to find the best solutions for each reality. The methods used to solve these problems depend on several factors, including the amount and type of accessible information, the available algorithms for solving them, and, obviously, the intrinsic characteristics of the problem. There are many kinds of optimization problems and, consequently, many kinds of methods to solve them. When the involved functions are nonlinear and their derivatives are not known or are very difficult to calculate, these methods are more rare. These kinds of functions are frequently called black box functions. To solve such problems without constraints (unconstrained optimization), we can use direct search methods. These methods do not require any derivatives or approximations of them. But when the problem has constraints (nonlinear programming problems) and, additionally, the constraint functions are black box functions, it is much more difficult to find the most appropriate method. Penalty methods can then be used. They transform the original problem into a sequence of other problems, derived from the initial, all without constraints. Then this sequence of problems (without constraints) can be solved using the methods available for unconstrained optimization. In this chapter, we present a classification of some of the existing penalty methods and describe some of their assumptions and limitations. These methods allow the solving of optimization problems with continuous, discrete, and mixing constraints, without requiring continuity, differentiability, or convexity. Thus, penalty methods can be used as the first step in the resolution of constrained problems, by means of methods that typically are used by unconstrained problems. We also discuss a new class of penalty methods for nonlinear optimization, which adjust the penalty parameter dynamically.
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The characteristics of carbon fibre reinforced laminates had widened their use, from aerospace to domestic appliances. A common characteristic is the need of drilling for assembly purposes. It is known that a drilling process that reduces the drill thrust force can decrease the risk of delamination. In this work, delamination assessment methods based on radiographic data are compared and correlated with mechanical test results (bearing test).
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Constrained and unconstrained Nonlinear Optimization Problems often appear in many engineering areas. In some of these cases it is not possible to use derivative based optimization methods because the objective function is not known or it is too complex or the objective function is non-smooth. In these cases derivative based methods cannot be used and Direct Search Methods might be the most suitable optimization methods. An Application Programming Interface (API) including some of these methods was implemented using Java Technology. This API can be accessed either by applications running in the same computer where it is installed or, it can be remotely accessed through a LAN or the Internet, using webservices. From the engineering point of view, the information needed from the API is the solution for the provided problem. On the other hand, from the optimization methods researchers’ point of view, not only the solution for the problem is needed. Also additional information about the iterative process is useful, such as: the number of iterations; the value of the solution at each iteration; the stopping criteria, etc. In this paper are presented the features added to the API to allow users to access to the iterative process data.
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In Nonlinear Optimization Penalty and Barrier Methods are normally used to solve Constrained Problems. There are several Penalty/Barrier Methods and they are used in several areas from Engineering to Economy, through Biology, Chemistry, Physics among others. In these areas it often appears Optimization Problems in which the involved functions (objective and constraints) are non-smooth and/or their derivatives are not know. In this work some Penalty/Barrier functions are tested and compared, using in the internal process, Derivative-free, namely Direct Search, methods. This work is a part of a bigger project involving the development of an Application Programming Interface, that implements several Optimization Methods, to be used in applications that need to solve constrained and/or unconstrained Nonlinear Optimization Problems. Besides the use of it in applied mathematics research it is also to be used in engineering software packages.
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Epidemiological studies have shown the effect of diet on the incidence of chronic diseases; however, proper planning, designing, and statistical modeling are necessary to obtain precise and accurate food consumption data. Evaluation methods used for short-term assessment of food consumption of a population, such as tracking of food intake over 24h or food diaries, can be affected by random errors or biases inherent to the method. Statistical modeling is used to handle random errors, whereas proper designing and sampling are essential for controlling biases. The present study aimed to analyze potential biases and random errors and determine how they affect the results. We also aimed to identify ways to prevent them and/or to use statistical approaches in epidemiological studies involving dietary assessments.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia do Ambiente
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Many studies have demonstrated the relationship between the alpha activity and the central visual ability, in which the visual ability is usually assessed through static stimuli. Besides static circumstance, however in the real environment there are often dynamic changes and the peripheral visual ability in a dynamic environment (i.e., dynamic peripheral visual ability) is important for all people. So far, no work has reported whether there is a relationship between the dynamic peripheral visual ability and the alpha activity. Thus, the objective of this study was to investigate their relationship. Sixty-two soccer players performed a newly designed peripheral vision task in which the visual stimuli were dynamic, while their EEG signals were recorded from Cz, O1, and O2 locations. The relationship between the dynamic peripheral visual performance and the alpha activity was examined by the percentage-bend correlation test. The results indicated no significant correlation between the dynamic peripheral visual performance and the alpha amplitudes in the eyes-open and eyes-closed resting condition. However, it was not the case for the alpha activity during the peripheral vision task: the dynamic peripheral visual performance showed significant positive inter-individual correlations with the amplitudes in the alpha band (8-12 Hz) and the individual alpha band (IAB) during the peripheral vision task. A potential application of this finding is to improve the dynamic peripheral visual performance by up-regulating alpha activity using neuromodulation techniques.
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Aims of study: 1) Describe the importance of human visual system on lesion detection in medical imaging perception research; 2) Discuss the relevance of research in medical imaging addressing visual function analysis; 3) Identify visual function tests which could be conducted on observers prior to participation in medical imaging perception research.