1000 resultados para Sérgio Praça


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Uma nova espécie de Mimosaceae para a Amazônia Brasileira, denominada Mimosa dasilvae A. S. Silva & R. Secco, é descrita e ilustrada. O novo táxon pertence à secção Habbasia sér. Piresianae Barneby e apresenta afinidades com M. piresii Barneby, da qual difere, principalmente, pelo hábito lianescente, foliólulos menores, glabros e brilhantes na face ventral, e brácteas florais menores.

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A qualidade da água e a fauna composta pelos macroinvertebrados aquáticos do Igarapé do Mindú, o qual tem suas nascentes em áreas florestadas e atravessa a cidade de Manaus (Amazonas, Brasil), foram estudadas de 1993 a 1995. Desmatamentos e ocupação das áreas ao longo do igarapé, juntamente com a poluição orgânica doméstica causaram drásticas alterações nas características físico-químicas das águas e na composição da fauna aquática. Assim, temperatura da água, condutividade elétrica, pH e sedimentos em suspensão aumentaram significativamente, enquanto que os valores de oxigênio dissolvido na água diminuíram. Esses fatores de alterações, associados com a redução natural da velocidade de corrente d'água e aumento da radiação solar, resultaram em eutrofização e mudança marcante da fauna bentônica.

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The pavement recycling allows to reuse reclaimed asphalt pavement (RAP) or other waste materials in new asphalt mixtures for road construction or rehabilitation, thus re-ducing the use of virgin materials (aggregates and bitumen). Thus, the main aim of this study is to minimize the use of natural resources through the reuse of three waste materials: HDPE, mo-tor oil and RAP. Different amounts of waste motor oil and HDPE were added to an asphalt binder with 50% aged bitumen. The best solutions to produce the modified binders (4.5 to 5.0% HDPE and 10 % waste motor oil) performed as well as a conventional bitumen although they only used 35 % of virgin bitumen. Asphalt mixtures with 50 % RAP were produced with the selected modified binders, improving some characteristics in comparison with conventional asphalt mixtures. In conclusion, these wastes can revive in new asphalt mixtures.

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Road pavements are very important infrastructures for the Society, but they can cause serious environmental impacts during construction, operation and rehabilitation phases. Thus, it is essential to develop surface paving solutions that promote not only the durability but also a comfortable and safe use. In fact, this work aims to study the properties of new opengraded mixtures for surface layers produced with plastic wastes. First, HDPE and EVA wastes were used as bitumen modifiers, and then another plastic waste (PEX) replaced part of the aggregates. After studying the modified binders, the open-graded mixtures were designed, and then they were tested concerning their particle loss, rutting resistance, surface texture and damping effect. It was concluded that both ways of using the plastic wastes can improve the mechanical and functional properties of the open-graded mixtures related to the pavement performance.

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telligence applications for the banking industry. Searches were performed in relevant journals resulting in 219 articles published between 2002 and 2013. To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreover, the latent Dirichlet allocation modeling was used in or- der to group articles in several relevant topics. The analysis was conducted using a dictionary of terms belonging to both banking and business intelli- gence domains. Such procedure allowed for the identification of relationships between terms and topics grouping articles, enabling to emerge hypotheses regarding research directions. To confirm such hypotheses, relevant articles were collected and scrutinized, allowing to validate the text mining proce- dure. The results show that credit in banking is clearly the main application trend, particularly predicting risk and thus supporting credit approval or de- nial. There is also a relevant interest in bankruptcy and fraud prediction. Customer retention seems to be associated, although weakly, with targeting, justifying bank offers to reduce churn. In addition, a large number of ar- ticles focused more on business intelligence techniques and its applications, using the banking industry just for evaluation, thus, not clearly acclaiming for benefits in the banking business. By identifying these current research topics, this study also highlights opportunities for future research.

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Immune systems have been used in the last years to inspire approaches for several computational problems. This paper focus on behavioural biometric authentication algorithms’ accuracy enhancement by using them more than once and with different thresholds in order to first simulate the protection provided by the skin and then look for known outside entities, like lymphocytes do. The paper describes the principles that support the application of this approach to Keystroke Dynamics, an authentication biometric technology that decides on the legitimacy of a user based on his typing pattern captured on he enters the username and/or the password and, as a proof of concept, the accuracy levels of one keystroke dynamics algorithm when applied to five legitimate users of a system both in the traditional and in the immune inspired approaches are calculated and the obtained results are compared.

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Biometric systems are increasingly being used as a means for authentication to provide system security in modern technologies. The performance of a biometric system depends on the accuracy, the processing speed, the template size, and the time necessary for enrollment. While much research has focused on the first three factors, enrollment time has not received as much attention. In this work, we present the findings of our research focused upon studying user’s behavior when enrolling in a biometric system. Specifically, we collected information about the user’s availability for enrollment in respect to the hand recognition systems (e.g., hand geometry, palm geometry or any other requiring positioning the hand on an optical scanner). A sample of 19 participants, chosen randomly apart their age, gender, profession and nationality, were used as test subjects in an experiment to study the patience of users enrolling in a biometric hand recognition system.

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Matrinxã is a very promising amazonian fish for fish culture in Brazil. This study is aimed at determining the approximate tolerated temperature range in this species. Groups of ten young matrinxã specimens (15.1±0.8 cm average length and 58.3±10.3 g average weight) were subjected to 9 different temperatures for 24 hours without previous acclimation. Fish were transferred from an initial temperature of 27ºC to those ranging from 12 to 39ºC at 3ºC intervals. Both 12ºC and 39ºC temperatures were lethal for this species with 100% mortality rate. Following 2 minutes of exposure to 39ºC fish changed behavior, showing an increase in opercular movements and erratic swimming; mortality reached 100% after 18 minutes. At 12ºC, fish lost equilibrium immediately after exposure and started swimming erratically; after only 4 minutes fish became lethargic and remained immobile on the bottom of the tank. Total mortality was only evident following 24 hours. At 15ºC matrinxã lost equilibrium after 5 to 6 minutes of exposure but mortality was only 20% after 24 hours. Fish tolerated well temperatures ranging from 18 to 36ºC with 100% survival after 24 hours. This preliminary study suggests that temperatures between 18 and 36ºC are the approximate range normally tolerated by this species, although survival at other temperatures may be increased by gradually acclimating fish to the more severe increases or decreases in temperature. In addition, it indicates that matrinxã may be cultivated over a wide geographical area.

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Este artigo propõe uma nova metodologia para Pequenas e Médias Empresas (PME), destinada a caracterizar o seu desempenho na gestão da qualidade, destacando pontos fracos e áreas de melhoria. A metodologia visa identificar as principais causas dos problemas de qualidade e ajuda a estabelecer prioridades na definição de iniciativas de melhoria. Trata-se de uma metodologia de diagnóstico fácil de implementar por empresas com baixo nível de maturidade na gestão da qualidade. A metodologia está organizada em seis etapas diferentes que incluem a recolha de informação sobre processos e subprocessos de gestão da qualidade, definidos com base na Trilogia de Juran, e sobre categorias de resultados preestabelecidas. Para aperfeiçoar e validar a metodologia proposta, foram realizados dois casos de estudo. A aplicação da metodologia foi bem sucedida em ambos os casos. Posteriormente, foi elaborado um relatório sobre o estado da qualidade em cada empresa, que inclui a definição de prioridades de eliminação das causas na origem de maus desempenhos. A metodologia pode ser adaptada para melhor se adequar às necessidades de empresas de diferentes setores, quer pela revisão dos seus processos, quer pela integração de novas ferramentas ou pelo aperfeiçoamento das existentes. Devido à sua simplicidade e abrangência, considera-se que a metodologia desenvolvida pode ser aplicada como ferramenta de autodiagnóstico para a melhoria contínua.

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Companies from the motorcycles components branch are dealing with a dynamic environment, resulting from the introduction of new products and the increase of market demand. This dynamic environment requires frequent changes in production lines and requires flexibility in the processes, which can cause reductions in the level of quality and productivity. This paper presents a Lean Six Sigma improvement project performed in a production line of the company's machining sector, in order to eliminate losses that cause low productivity, affecting the fulfillment of the production plan and customer satisfaction. The use of Lean methodology following the DMAIC stages allowed analyzing the factors that influence the line productivity loss. The major problems and causes that contribute to a reduction on productivity and that were identified in this study are the lack of standardization in the setup activities and the excessive stoppages for adjustment of the processes that caused an increase of defects. Control charts, Pareto analysis and cause-and-effect diagrams were used to analyze the problem. On the improvement stage, the changes were based on the reconfiguration of the line layout as well as the modernization of the process. Overall, the project justified an investment in new equipment, the defective product units were reduced by 84% and an increase of 29% of line capacity was noticed.

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Este trabalho apresenta os resultados de análise fitossociológica e da estrutura, feita em 4 inventários florísticos executados em parcelas de 1 hectare de florestas inundáveis de várzea localizadas na área do estuário e do baixo Amazonas. As florestas de várzea do estuário albergam uma riqueza de espécies relativamente baixa em relação a outras áreas da região como as florestas de terra firme. No entanto a estrutura de tamanho é considerável, com as árvores atingindo elevada biomassa vegetal. Provavelmente isto é devido ao aporte constante de nutrientes através dos sedimentos que viajam milhares de quilômetros de distância desde as nascentes andinas até o delta do rio Amazonas. As florestas inundáveis de várzea são dominadas por poucas espécies, algumas com muitos indivíduos, como o açaí (Euterpe oleracea) e o muru-muru (Astrocaryum murumuru), outras com árvores muito grandes como a pitaíca (Swartzia polyphylla), pracuúba (Mora paraensis) e a seringueira (Hevea brasiliensis). A ucuúba (Virola surinamensis), uma espécie que apresenta populações ameaçadas pela exploração madeireira, parece apresentar tanto indivíduos grandes como elevada densidade. As florestas de várzea apresentam baixa similaridade entre si, provavelmente decorrente da imensa variação do ambiente de várzea nos rios, paranás, ilhas e lagos, como os efeitos de zonação, altura de inundação, salinidade, velocidade da água, entre outros fatores. Estratégias de seleção de áreas de várzea para conservação devem levar em conta a variação ambiental, o grau de interferência humana e a diversidade local e entre ambientes.

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Barotrauma is identified as one of the leading diseases in Ventilated Patients. This type of problem is most common in the Intensive Care Units. In order to prevent this problem the use of Data Mining (DM) can be useful for predicting their occurrence. The main goal is to predict the occurence of Barotrauma in order to support the health professionals taking necessary precautions. In a first step intensivists identified the Plateau Pressure values as a possible cause of Barotrauma. Through this study DM models (classification) where induced for predicting the Plateau Pressure class (>=30 cm

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Lecture Notes in Computer Science, 9273