987 resultados para Learning Stability


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A presente comunicação visa discutir as mais-valias de um desenho metodológico sustentado numa abordagem conceptual da Terminologia aplicado ao exercício de harmonização da definição do cenário educativo mais promissor do Ensino Superior actual: o blended learning. Sendo a Terminologia uma disciplina que se ocupa da representação, da descrição e da definição do conhecimento especializado através da língua a essência deste domínio do saber responde a uma necessidade fundamental da sociedade actual: putting order into our universe, nas palavras de Nuopponen (2011). No contexto descrito, os conceitos, enquanto elementos da estrutura do conhecimento (Sager, 1990) constituem um objecto de investigação de complexidade não despicienda, pois apesar do postulado de que a língua constitui uma ferramenta fundamental para descrever e organizar o conhecimento, o princípio isomórfico não pode ser tomado como adquirido. A abordagem conceptual em Terminologia propõe uma visão precisa do papel da língua no trabalho terminológico, sendo premissa basilar que não existe uma correspondência unívoca entre os elementos atomísticos do conhecimento e os elementos da expressão linguística. É pela razões enunciadas que as opções metodológicas circunscritas à análise do texto de especialidade serão consideradas imprecisas. Nesta reflexão perspectiva-se que o conceito-chave de uma abordagem conceptual do trabalho terminológico implica a combinação de um processo de elicitação do conhecimento tácito através de uma negociação discursiva orientada para o conceito e a análise de corpora textuais. Defende-se consequentemente que as estratégias de interacção entre terminólogo e especialista de domínio merecem atenção detalhada pelo facto de se reflectirem com expressividade na qualidade dos resultados obtidos. Na sequência do exposto, o modelo metodológico que propomos sustenta-se em três etapas que privilegiam um refinamento dessa interacção permitindo ao terminólogo afirmar-se como sujeito conceptualizador, decisor e interventor: (1) etapa exploratória do domínio-objecto de estudo; (2) etapa de análise onamasiológica de evidência textual e discursiva; (3) etapa de modelização e de validação de resultados. Defender-se-á a produtividade de uma sequência cíclica entre a análise textual e discursiva para fins onomasiológicos, a interacção colaborativa e a introspecção.

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The development of nations depends on energy consumption, which is generally based on fossil fuels. This dependency produces irreversible and dramatic effects on the environment, e.g. large greenhouse gas emissions, which in turn cause global warming and climate changes, responsible for the rise of the sea level, floods, and other extreme weather events. Transportation is one of the main uses of energy, and its excessive fossil fuel dependency is driving the search for alternative and sustainable sources of energy such as microalgae, from which biodiesel, among other useful compounds, can be obtained. The process includes harvesting and drying, two energy consuming steps, which are, therefore, expensive and unsustainable. The goal of this EPS@ISEP Spring 2013 project was to develop a solar microalgae dryer for the microalgae laboratory of ISEP. A multinational team of five students from distinct fields of study was responsible for designing and building the solar microalgae dryer prototype. The prototype includes a control system to ensure that the microalgae are not destroyed during the drying process. The solar microalgae dryer works as a distiller, extracting the excess water from the microalgae suspension. This paper details the design steps, the building technologies, the ethical and sustainable concerns and compares the prototype with existing solutions. The proposed sustainable microalgae drying process is competitive as far as energy usage is concerned. Finally, the project contributed to increase the deontological ethics, social compromise skills and sustainable development awareness of the students.

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This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

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The Container Loading Problem (CLP) literature has traditionally evaluated the dynamic stability of cargo by applying two metrics to box arrangements: the mean number of boxes supporting the items excluding those placed directly on the floor (M1) and the percentage of boxes with insufficient lateral support (M2). However, these metrics, that aim to be proxies for cargo stability during transportation, fail to translate real-world cargo conditions of dynamic stability. In this paper two new performance indicators are proposed to evaluate the dynamic stability of cargo arrangements: the number of fallen boxes (NFB) and the number of boxes within the Damage Boundary Curve fragility test (NB_DBC). Using 1500 solutions for well-known problem instances found in the literature, these new performance indicators are evaluated using a physics simulation tool (StableCargo), replacing the real-world transportation by a truck with a simulation of the dynamic behaviour of container loading arrangements. Two new dynamic stability metrics that can be integrated within any container loading algorithm are also proposed. The metrics are analytical models of the proposed stability performance indicators, computed by multiple linear regression. Pearson’s r correlation coefficient was used as an evaluation parameter for the performance of the models. The extensive computational results show that the proposed metrics are better proxies for dynamic stability in the CLP than the previous widely used metrics.

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Massive Open Online Courses (MOOC) are gaining prominence in transversal teaching-learning strategies. However, there are many issues still debated, namely assessment, recognized largely as a cornerstone in Education. The large number of students involved requires a redefinition of strategies that often use approaches based on tasks or challenging projects. In these conditions and due to this approach, assessment is made through peer-reviewed assignments and quizzes online. The peer-reviewed assignments are often based upon sample answers or topics, which guide the student in the task of evaluating peers. This chapter analyzes the grading and evaluation in MOOCs, especially in science and engineering courses, within the context of education and grading methodologies and discusses possible perspectives to pursue grading quality in massive e-learning courses.

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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Gestão de Sistemas de e-Learning,

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Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Gestão de Sistemas de e-Learning

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Dissertation to obtain a Master Degree in Biotechnology

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High-content analysis has revolutionized cancer drug discovery by identifying substances that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high-resolution biofluorescence images from assays allow precise quantitative measures enabling the distinction of small molecules of a host cell from a tumor. In this work, we are particularly interested in the application of deep neural networks (DNNs), a cutting-edge machine learning method, to the classification of compounds in chemical mechanisms of action (MOAs). Compound classification has been performed using image-based profiling methods sometimes combined with feature reduction methods such as principal component analysis or factor analysis. In this article, we map the input features of each cell to a particular MOA class without using any treatment-level profiles or feature reduction methods. To the best of our knowledge, this is the first application of DNN in this domain, leveraging single-cell information. Furthermore, we use deep transfer learning (DTL) to alleviate the intensive and computational demanding effort of searching the huge parameter's space of a DNN. Results show that using this approach, we obtain a 30% speedup and a 2% accuracy improvement.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

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Dissertation presented to obtain the PhD degree in Biochemistry

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Dissertação para obtenção do Grau de Doutor em Ciências da Educação Especialidade em Tecnologias, Redes e Multimédia na Educação e Formação

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RESUMO: Introdução: A estabilidade dinâmica relativa ao complexo articular do ombro depende de uma interacção perfeita entre músculos da coifa dos rotadores e músculos escapulares, como o binómio rotador da escápula – trapézio superior e trapézio inferior e o grande dentado. A compreensão dessas sinergias musculares em sujeitos assintomáticos permite, em última instância, o desenvolvimento de linhas orientadoras de raciocínio na abordagem clínica. Objectivo: Estudar o rácio de activação entre os músculos trapézio inferior e trapézio superior e entre grande dentado e trapézio superior, através de um conjunto de cinco exercícios aplicados a uma amostra de sujeitos assintomáticos, estabelecendo uma hierarquia entre esses rácios. Metodologia: Trata-se de um estudo descritivo, com uma amostra de 15 sujeitos saudáveis (n=9 homens; n=6 mulheres), com idades compreendidas entre os 19 e 27 anos (média=21 anos, dp=2,24), tendo sido avaliados por um sistema de electromiografia de superfície, em dois momentos de recolha diferentes. Os exercícios foram realizados em cadeia cinética aberta, sem qualquer aplicação de resistências externas. Resultados: De entre os exercícios analisados com envolvimento escapulo-torácico e gleno-umeral simultaneamente, destacaram-se com melhor rácio trapézio inferior/trapézio superior e grande dentado/trapézio superior (activação dos músculos trapézio inferior e grande dentado superior à activação do trapézio superior) os movimentos de flexão do ombro até aos 90º no plano sagital e a abdução do ombro até aos 90º no plano da escápula, considerando ambas as recolhas. Nos exercícios apenas com envolvimento escapulotorácico, destacaram-se com melhor rácio os movimentos de adução e depressão das escápulas bilateralmente com os membros superiores em repouso, seguido da abdução da escápula, com o ombro a 90º de flexão e mantendo a escápula em depressão (“murro à frente”), em ambas as recolhas. O exercício de abdução do ombro até aos 90º no plano frontal obteve sempre o pior rácio muscular, nos dois momentos de recolha. Conclusões: O presente trabalho estudou as interacções dos músculos escapulotorácicos em cinco exercícios realizados até aos 90º de elevação do membro superior,em cadeia cinética aberta e sem recurso a resistências externas. Será, eventualmente possível, enquadrar os exercícios propostos nas fases de consciencialização e associação de reaprendizagem motora. Sugerem-se futuros estudos com uso de análise cinemática. --------------------ABSTRACT: Introduction: Stability of the shoulder and scapula depend upon a perfect interaction between rotator cuff of the shoulder and scapular muscles, such as upper and lower trapezius and serratus anterior. A deeper comprehension of these synergies in healthy subjects allows, ultimately, the development of a better reasoning in the clinical approach. Goal: To study the ratios between lower trapezius/ upper trapezius and between serratus anterior/ upper trapezius in five different exercises, applied to healthy subjects, presenting a hierarchy between ratios. Methods: It’s an observational descriptive study including 15 healthy subjects (n= 9 men; n=6 women) with ages between 19 and 27 years (mean of 21 years, SD of 2,24). Surface electromyography was used in two different recording moments. All the exercises were performed in open kinetic chain, without external resistance. Results: Of the exercises studied that involved the shoulder and scapula together, the best ratios between lower trapezius/upper trapezius and serratus anterior/ upper trapezius (greater activity for lower trapezius and serratus anterior and less for upper trapezius) were found in shoulder flexion to 90º and in shoulder abduction to 90º in the plane of the scapula, in both recording moments. Considering the exercises that included only the scapula, the best ratio were found in bilateral adduction and depression of the scapula with the upper limbs resting and in abduction of the scapula, while being in depression, with the shoulder flexed at 90º, considering both recordings. Shoulder abduction to 90º in the coronal plane presented the worse ratio in both recording moments. Conclusions: This present paper studied the interaction of the scapula upward rotator muscles in five exercises performed below 90º of shoulder flexion or abduction, in open kinetic chain, with no external resistance. It may be possible to associate our exercises with the motor learning phases of association and consciousness. Future studies are suggested with kinematic analysis.

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Trabalho de projecto de Mestrado em Gestão de Sistemas de E-Learning