856 resultados para Strip mining
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Incluye Bibliografía
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Incluye Bibliografía
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Includes bibliography
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Includes bibliography
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Incluye Bibliografía
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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This study aimed to evaluate the sediment quality in the estuarine protected area known as Canan,ia-Iguape-Peruibe (CIP-PA), located on the southeastern coast of Brazil. The study was designed considering possible negative effects induced by the city of Canan,ia on the sediment quality of surrounding areas. This evaluation was performed using chemical and ecotoxicological analyses. Sediments were predominantly sandy, with low CaCO3 contents. Amounts of organic matter varied, but higher contents occurred closer to the city, as well as did Fe and Total Recoverable Oils and Greases (TROGs) concentrations. Contamination by Cd and Cu was revealed in some samples, while concentrations of Zn were considered low. Chronic toxicity was detected in all tested sediments and acute toxicity occurred only in sediments collected near the city. The principal component analysis (PCA) revealed an association among Cd, Cu, Fe, TROG, fines, organic matter, CaCO3, and chronic toxicity, whereas acute toxicity was found to be associated with Zn and mud. However, because Zn levels were low, acute toxicity was likely due to a contaminant that was not measured. Results show that there is a broad area within the CIP-PA that is under the influence of mining activities (chronic toxicity, moderate contamination by metals), whereas poorer conditions occur closer to Canan,ia (acute toxicity); thus, the urban area seems to constitute a relevant source of contaminants for the estuarine complex. These results show that contamination is already capable of producing risks for the local aquatic biota, which suggests that the CIP-PA effectiveness in protecting estuarine biota may be threatened.
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Tuberculose (TB), causada por Mycobacterium tuberculosis, é uma das doenças infecciosas que mais causam mortes. Estima-se que mais de dois bilhões de pessoas estejam infectadas no mundo. O tratamento da TB consite em associação de fármacos, isoniazida, rifampicina, pirazinamida e etambutol, nos primeiros 2 meses e 4 meses de isoniazida e de rifampicina. Internacionalmente, são consideradas cepas multi resistentes (MDR), as que apresentam resistência simultânea a isoniazida e a rifampicina. A rápida detecção de resistência é essencial para o controle e tratamento da TB, reduzindo, assim, o custo do tratamento e a transmissão da doença. Neste projeto, os isolados já identificados fenotipicamente como resistentes a isoniazida e/ou rifampicina, foram submetidos ao sequenciamento de Sanger para pesquisa de 3 genes relacionados a resistência a isoniazida (katG, inhA e ahpC) e 1 gene de resistência a rifampicina (rpoB). Foi realizada uma comparação destes genes mutados para a resistência utilizando o novo teste desenvolvido pela Biomérieux, denominado GenoType® MTBDRplus, que se baseia na tecnologia DNA-STRIP. Através deste novo teste, foi observada mutação em 22 isolados clínicos de M. tuberculosis para genes de resistência a isoniazida e/ou rifampicina, sendo 4 provenientes do MS e 18 de SP. Já pelo sequenciamento genético foi observada mutação em 24 isolados para genes de resistência a isoniazida e/ou rifampicina, sendo 6 provenientes do MS e 18 de SP. Portanto, através do sequenciamento de Sanger, foi possível detectar um número maior de isolados mutados e mais mutações quando comparado ao teste GenoType® MTBDRplus. Isso acontece porque na técnica de sequenciamento, um fragmento do gene como um todo é analisado e no caso do teste GenoType® MTBDRplus, é verificada apenas a ausência ou presença das mutações mais frequentes descritas na literatura, além de não ser analisado o gene ahpC. A grande ...
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Background: Once multi-relational approach has emerged as an alternative for analyzing structured data such as relational databases, since they allow applying data mining in multiple tables directly, thus avoiding expensive joining operations and semantic losses, this work proposes an algorithm with multi-relational approach. Methods: Aiming to compare traditional approach performance and multi-relational for mining association rules, this paper discusses an empirical study between PatriciaMine - an traditional algorithm - and its corresponding multi-relational proposed, MR-Radix. Results: This work showed advantages of the multi-relational approach in performance over several tables, which avoids the high cost for joining operations from multiple tables and semantic losses. The performance provided by the algorithm MR-Radix shows faster than PatriciaMine, despite handling complex multi-relational patterns. The utilized memory indicates a more conservative growth curve for MR-Radix than PatriciaMine, which shows the increase in demand of frequent items in MR-Radix does not result in a significant growth of utilized memory like in PatriciaMine. Conclusion: The comparative study between PatriciaMine and MR-Radix confirmed efficacy of the multi-relational approach in data mining process both in terms of execution time and in relation to memory usage. Besides that, the multi-relational proposed algorithm, unlike other algorithms of this approach, is efficient for use in large relational databases.
Spatial Data Mining to Support Environmental Management and Decision Making - A Case Study in Brazil
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Fundacao de Amparo a Pesquisa do Estado de sao Paulo (FAPESP)
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The increase in new electronic devices had generated a considerable increase in obtaining spatial data information; hence these data are becoming more and more widely used. As well as for conventional data, spatial data need to be analyzed so interesting information can be retrieved from them. Therefore, data clustering techniques can be used to extract clusters of a set of spatial data. However, current approaches do not consider the implicit semantics that exist between a region and an object’s attributes. This paper presents an approach that enhances spatial data mining process, so they can use the semantic that exists within a region. A framework was developed, OntoSDM, which enables spatial data mining algorithms to communicate with ontologies in order to enhance the algorithm’s result. The experiments demonstrated a semantically improved result, generating more interesting clusters, therefore reducing manual analysis work of an expert.
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The irregular shape packing problem is approached. The container has a fixed width and an open dimension to be minimized. The proposed algorithm constructively creates the solution using an ordered list of items and a placement heuristic. Simulated annealing is the adopted metaheuristic to solve the optimization problem. A two-level algorithm is used to minimize the open dimension of the container. To ensure feasible layouts, the concept of collision free region is used. A collision free region represents all possible translations for an item to be placed and may be degenerated. For a moving item, the proposed placement heuristic detects the presence of exact fits (when the item is fully constrained by its surroundings) and exact slides (when the item position is constrained in all but one direction). The relevance of these positions is analyzed and a new placement heuristic is proposed. Computational comparisons on benchmark problems show that the proposed algorithm generated highly competitive solutions. Moreover, our algorithm updated some best known results. (C) 2012 Elsevier Ltd. All rights reserved.