94 resultados para Extensive Bloom
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Microcystin-leucine and arginine (microcystin- LR) is a cyanotoxin produced by cyanobacteria like Microcystis aeruginosa, and it’s considered a threat to water quality, agriculture, and human health. Rice (Oryzasativa) is a plant of great importance in human food consumption and economy, with extensive use around the world. It is therefore important to assess the possible effects of using water contaminated with microcystin-LR to irrigate rice crops, in order to ensure a safe, high quality product to consumers. In this study, 12 and 20-day-old plants were exposed during 2 or 7 days to a M. aeruginosa extract containing environmentally relevant microcystin-LR concentrations, 0.26–78 lg/L. Fresh and dry weight of roots and leaves, chlorophyll fluorescence, glutathione S-transferase and glutathione peroxidase activities, and protein identification by mass spectrometry through two-dimensional gel electrophoresis from root and leaf tissues, were evaluated in order to gauge the plant’s physiological condition and biochemical response after toxin exposure. Results obtained from plant biomass, chlorophyll fluorescence, and enzyme activity assays showed no significant differences between control and treatment groups. How- ever, proteomics data indicates that plants respond to M. aeruginosa extract containing environmentally relevant microcystin-LR concentrations by changing their metabolism, responding differently to different toxin concentrations. Biological processes most affected were related to protein folding and stress response, protein biosynthesis, cell signalling and gene expression regulation, and energy and carbohydrate metabolism which may denote a toxic effect induced by M. aeruginosa extract and microcystin- LR. Theimplications of the metabolic alterations in plant physiology and growth require further elucidation.
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Background Iron is vital for almost all living organisms by participating in a wide range of metabolic processes. However, iron concentration in body tissues must be tightly regulated since excessive iron may lead to microbial infections or cause tissue damage. Disorders of iron metabolism are among the most common human diseases and cover several conditions with varied clinical manifestations. Methods An extensive literature review on the basic aspects of iron metabolism was performed, and the most recent findings on this field were highlighted as well. Results New insights on iron metabolism have shed light into its real complexity, and its role in both healthy and pathological states has been recognized. Important discoveries about the iron regulatory machine and imbalances in its regulation have been made, which may lead in a near future to the development of new therapeutic strategies against iron disorders. Besides, the toxicity of free iron and its association with several pathologies has been addressed, although it requires further investigations. Conclusion This review will provide students in the fields of biochemistry and health sciences a brief and clear overview of iron physiology and toxicity, as well as imbalances in the iron homeostasis and associated pathological conditions.
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S100A6 is a small EF-hand calcium- and zinc-binding protein involved in the regulation of cell proliferation and cytoskeletal dynamics. It is overexpressed in neurodegenerative disorders and a proposed marker for Amyotrophic Lateral Sclerosis (ALS). Following recent reports of amyloid formation by S100 proteins, we investigated the aggregation properties of S100A6. Computational analysis using aggregation predictors Waltz and Zyggregator revealed increased propensity within S100A6 helices HI and HIV. Subsequent analysis of Thioflavin-T binding kinetics under acidic conditions elicited a very fast process with no lag phase and extensive formation of aggregates and stacked fibrils as observed by electron microscopy. Ca2+ exerted an inhibitory effect on the aggregation kinetics, which could be reverted upon chelation. An FT-IR investigation of the early conformational changes occurring under these conditions showed that Ca2+ promotes anti-parallel β-sheet conformations that repress fibrillation. At pH 7, Ca2+ rendered the fibril formation kinetics slower: time-resolved imaging showed that fibril formation is highly suppressed, with aggregates forming instead. In the absence of metals an extensive network of fibrils is formed. S100A6 oligomers, but not fibrils, were found to be cytotoxic, decreasing cell viability by up to 40%. This effect was not observed when the aggregates were formed in the presence of Ca2+. Interestingly, native S1006 seeds SOD1 aggregation, shortening its nucleation process. This suggests a cross-talk between these two proteins involved in ALS. Overall, these results put forward novel roles for S100 proteins, whose metal-modulated aggregation propensity may be a key aspect in their physiology and function.
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A tecnologia, recurso que se encontra em constante evolução, esta aliada a tudo o que rodeia sociedade. Desde os objectos mais próximos, como e o caso dos dispositivos moveis, presença constante do dia-a-dia, onde se enquadram os telemóveis, smartphones, tablets, entre muitos outros, e que permitem o contato com o resto do mundo das mais variadas maneiras. Indo até aos satélites GPS e todos os segmentos associados, destacando-se segmento do utilizador, onde estão enquadrados os receptores GPS ajudam o utilizador a orientar-se pelo mundo de uma forma mais simples. A prática recreativa de actividades físicas e mais uma área onde a tecnologia se destaca, estando esta associada ao GPS, aos dipositivos, as aplicações, combinando estes variados elementos num objetivo. Com a evolução dos dispositivos móveis e consequentemente das aplicações existentes para estes, assim como, com o aumento de pessoas a praticar, de forma recreativa, cada vez mais actividades físicas (como exemplo: correr, andar de bicicleta, fazer uma caminhada), pretende- se com o presente trabalho estudar a utilização e as expectativas das pessoas que recorrem ao uso de dispositivos/aplicações no decorrer dessas atividades.
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Relatório de estágio apresentado no Instituto Superior de Contabilidade e Administração do Porto para obtenção do Grau de Mestre em Gestão das Organizações, Ramo de Gestão de Empresas Orientado por Prof. Doutor Eduardo Manuel Lopes de Sá e Silva Co-Orientado pelo Mestre Adalmiro Álvaro Malheiro de Castro Andrade Pereira
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Actualmente é indiscutível o papel das TIC como recurso pedagógico no processo de ensino-aprendizagem. Esta integração implica riscos, desafios, promessas e novas oportunidades que permitem a criação de um cenário educacional mais diversificado, mais aberto, mais comunicativo e mais abrangente. Esta comunicação apresenta dois casos de aplicação das TIC com recurso à plataforma Moodle: no 1º ciclo do Ensino Básico e no Ensino Superior. Esta mostrou ser uma plataforma flexível, pois adapta-se a destinatários com necessidades e objectivos diferentes, e que promove entusiasmo e motivação para a aprendizagem melhorando as práticas que se desenvolvem nas aulas.
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O presente Relatório de estágio enquadra-se no âmbito da disciplina de Dissertação / Projeto / Estágio, do Curso de Mestrado em Engenharia Civil, do Instituto Superior de Engenharia do Porto subordinado ao tema “Gestão de Obras: Aplicação prática em ambiente empresarial”. O estágio foi realizado na empresa NEGRO S.A., empresa que atua no mercado Francês, no sector da construção civil no âmbito de obras públicas e privadas. Foi com grande satisfação que o estagiário abraçou esta oportunidade de poder realizar um estágio neste setor da engenharia civil, integrando uma equipa de trabalho com uma ampla experiência no mercado. Foi igualmente gratificante poder aplicar os conhecimentos adquiridos ao longo do curso e enriquecedor adquirir novas competências, através da resolução das dificuldades ocorridas no dia-a-dia durante o estágio. Considera-se assim esta experiencia como uma mais-valia para ingressar com êxito na futura vida profissional. Este documento descreve essencialmente as tarefas realizadas ao longo do estágio. Estas tarefas foram executadas recorrendo aos conhecimentos adquiridos durante a formação académica, nomeadamente no que se refere a planeamento, qualidade, gestão de obra e segurança e saúde no trabalho e com finalidade de alcançar os seguintes objetivos: - Proporcionar a integração do aluno no ambiente empresarial, realizando as atividades planeadas; - Propiciar a aplicação dos conhecimentos e competências adquiridas ao longo do curso, utilizando os casos reais durante o estágio; - Resolver problemas concretos de engenharia civil em meio profissional e empresarial; - Proceder a recolha de informação com vista a resolução dos problemas que surgem ao longo do estágio; - Analisar as situações que surgem durante a realização do estágio, estabelecendo conclusões; - Desenvolver metodologias aplicáveis no contexto do estágio; - Recolher dados e interpretar os mesmos no contexto do estágio; - Estabelecer conclusões sobre as experiências vividas durante o estágio; - Analisar o impacto do trabalho realizado na instituição de acolhimento.
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Gestão de Energia e Sustentabilidade são os pilares em que assenta esta dissertação, realizada no âmbito da Energia Elétrica em Ambiente Industrial. Neste sentido, deve entender-se “Gestão de Energia” como o planeamento de operações nas unidades de produção e de consumo. Tem como objetivos a conservação dos recursos, proteção climática e redução de custos, para que seja possível o acesso permanente à energia de que necessitamos. “Sustentabilidade”, por definição, é uma caraterística ou condição de um processo ou de um sistema que permite a sua permanência, até um determinado nível, por um determinado prazo. A Indústria Têxtil, da região do Vale do Ave, por ser extensa e muito heterogénea, quer na qualidade, quer na dimensão e nos recursos que utiliza, apresentou-se como uma oportunidade para aplicar os conhecimentos adquiridos, nas diversas disciplinas do Mestrado em Engenharia Electrotécnica - Área de Sistemas Eléctricos de Energia e como meio condutor à tentativa de optimização e racionalização do consumo de Energia Elétrica no Sector. O modelo encontrado para dar uma resposta satisfatória ao inicialmente proposto foi a Auditoria Energética. Neste sentido, foram realizadas visitas às instalações industriais, para o levantamento e recolha de informação, que posteriormente viria a ser analisada e, com base na mesma, tentou apresentar-se um conjunto de soluções que visassem a eficiência Energética do sector. Com o decorrer das visitas, surgiu a necessidade de criar um modelo, que servisse de guia da auditoria. Algo que seria um bloco de notas, mas específico, de forma a não perder a informação recolhida. Então foi desenvolvida uma aplicação para IPAD/IPHONE, o que permite também a recolha e armazenamento de fotografias, que aqui tem um papel fundamental. Salienta-se que as expectativas foram ao encontro do esperado, pois o que se encontrou foi um número significativo de empresas a precisar deste contributo. Atuando no “combate” ao consumo desnecessário e ao desperdício, é estar a contribuir ativa e positivamente, no desenvolvimento próspero da temática de Sustentabilidade Energética.
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Com o crescente aumento na procura de pneus com maior capacidade de mobilidade, como é caso dos pneus ContiSeal, a Continental AG iniciou um projecto de expansão da unidade industrial portuguesa onde a tecnologia ContiSeal é aplicada, projecto esse a ser desenvolvido pela Continental Mabor. Na prossecução deste projecto são necessárias diversas áreas de conhecimento da gestão industrial, nomeadamente: a análise dos fluxos produtivos, o cálculo de capacidade e respectiva análise de tempos perdidos, análise e projecto de layouts e a produção de propostas de optimização tanto ao nível de equipamentos como do fluxo produtivo. Na realização deste projecto foi necessário estudar profundamente a unidade produtiva em questão. O estudo foi realizado aos diversos subprocessos do ContiSeal, na qual a recolha e análise de dados estão fundamentadas através de extensos levantamentos obtidos por amostragem. Estes dados são vitais para uma correcta análise de custos de investimento na aquisição de novos equipamentos, sendo estes necessários para o cumprimento dos objectivos propostos para a expansão do ContiSeal. O início do projecto incidiu no estudo detalhado sobre os ciclos produtivos dos equipamentos e no levantamento e registo dos tempos perdidos da unidade industrial, que permitiu a análise das capacidades instaladas dos vários subprocessos. Após o levantamento das capacidades foram determinadas as necessidades relativas à aquisição de novos equipamentos. De notar que alguns protótipos de equipamentos necessários foram desenvolvidos em parceria com fornecedores seleccionados, assim como foram apresentadas propostas de melhoria aos equipamentos já existentes. Uma vez aprovada a aquisição dos novos equipamentos pela Continental AG, deu-se início ao desenvolvimento da expansão do layout do ContiSeal, tanto ao nível do edifício como de novos equipamentos e ainda do fluxo dos pneus com vista à sua optimização.
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Heterogeneous multicore platforms are becoming an interesting alternative for embedded computing systems with limited power supply as they can execute specific tasks in an efficient manner. Nonetheless, one of the main challenges of such platforms consists of optimising the energy consumption in the presence of temporal constraints. This paper addresses the problem of task-to-core allocation onto heterogeneous multicore platforms such that the overall energy consumption of the system is minimised. To this end, we propose a two-phase approach that considers both dynamic and leakage energy consumption: (i) the first phase allocates tasks to the cores such that the dynamic energy consumption is reduced; (ii) the second phase refines the allocation performed in the first phase in order to achieve better sleep states by trading off the dynamic energy consumption with the reduction in leakage energy consumption. This hybrid approach considers core frequency set-points, tasks energy consumption and sleep states of the cores to reduce the energy consumption of the system. Major value has been placed on a realistic power model which increases the practical relevance of the proposed approach. Finally, extensive simulations have been carried out to demonstrate the effectiveness of the proposed algorithm. In the best-case, savings up to 18% of energy are reached over the first fit algorithm, which has shown, in previous works, to perform better than other bin-packing heuristics for the target heterogeneous multicore platform.
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In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.
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IEEE 802.11 is one of the most well-established and widely used standard for wireless LAN. Its Medium Access control (MAC) layer assumes that the devices adhere to the standard’s rules and timers to assure fair access and sharing of the medium. However, wireless cards driver flexibility and configurability make it possible for selfish misbehaving nodes to take advantages over the other well-behaving nodes. The existence of selfish nodes degrades the QoS for the other devices in the network and may increase their energy consumption. In this paper we propose a green solution for selfish misbehavior detection in IEEE 802.11-based wireless networks. The proposed scheme works in two phases: Global phase which detects whether the network contains selfish nodes or not, and Local phase which identifies which node or nodes within the network are selfish. Usually, the network must be frequently examined for selfish nodes during its operation since any node may act selfishly. Our solution is green in the sense that it saves the network resources as it avoids wasting the nodes energy by examining all the individual nodes of being selfish when it is not necessary. The proposed detection algorithm is evaluated using extensive OPNET simulations. The results show that the Global network metric clearly indicates the existence of a selfish node while the Local nodes metric successfully identified the selfish node(s). We also provide mathematical analysis for the selfish misbehaving and derived formulas for the successful channel access probability.
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Radio link quality estimation is essential for protocols and mechanisms such as routing, mobility management and localization, particularly for low-power wireless networks such as wireless sensor networks. Commodity Link Quality Estimators (LQEs), e.g. PRR, RNP, ETX, four-bit and RSSI, can only provide a partial characterization of links as they ignore several link properties such as channel quality and stability. In this paper, we propose F-LQE (Fuzzy Link Quality Estimator, a holistic metric that estimates link quality on the basis of four link quality properties—packet delivery, asymmetry, stability, and channel quality—that are expressed and combined using Fuzzy Logic. We demonstrate through an extensive experimental analysis that F-LQE is more reliable than existing estimators (e.g., PRR, WMEWMA, ETX, RNP, and four-bit) as it provides a finer grain link classification. It is also more stable as it has lower coefficient of variation of link estimates. Importantly, we evaluate the impact of F-LQE on the performance of tree routing, specifically the CTP (Collection Tree Protocol). For this purpose, we adapted F-LQE to build a new routing metric for CTP, which we dubbed as F-LQE/RM. Extensive experimental results obtained with state-of-the-art widely used test-beds show that F-LQE/RM improves significantly CTP routing performance over four-bit (the default LQE of CTP) and ETX (another popular LQE). F-LQE/RM improves the end-to-end packet delivery by up to 16%, reduces the number of packet retransmissions by up to 32%, reduces the Hop count by up to 4%, and improves the topology stability by up to 47%.
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Poster in 12th European Conference on Wireless Sensor Networks (EWSN 2015). 9 to 11, Feb, 2015, pp 24-25. Porto, Portugal.
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This paper presents a framework for a robotic production line simulation learning environment using Autonomous Ground Vehicles (AGV). An eLearning platform is used as interface with the simulator. The objective is to introduce students to the production robotics area using a familiar tool, an eLearning platform, and a framework that simulates a production line using AGVs. This framework allows students to learn about robotics but also about several areas of industrial management engineering without requiring an extensive prior knowledge on the robotics area. The robotic production line simulation learning environment simulates a production environment using AGVs to transport materials to and from the production line. The simulator allows students to validate the AGV dynamics and provides information about the whole materials supplying system which includes: supply times, route optimization and inventory management. The students are required to address several topics such as: sensors, actuators, controllers and an high level management and optimization software. This simulator was developed with a known open source tool from robotics community: Player/Stage. This tool was extended with several add-ons so that students can be able to interact with a complex simulation environment. These add-ons include an abstraction communication layer that performs events provided by the database server which is programmed by the students. An eLearning platform is used as interface between the students and the simulator. The students can visualize the effects of their instructions/programming in the simulator that they can access via the eLearning platform. The proposed framework aims to allow students from different backgrounds to fully experience robotics in practice by suppressing the huge gap between theory and practice that exists in robotics. Using an eLearning platform eliminates installation problems that can occur from different computers software distribution and makes the simulator accessible by all students at school and at home.