906 resultados para sort
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Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.
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Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.
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This paper describes a fast integer sorting algorithm, herein referred to as Bit-index sort, which does not use comparisons and is intended to sort partial permutations. Experimental results exhibit linear complexity order in execution time. Bit-index sort uses a bit-array to classify input sequences of distinct integers, and exploits built-in bit functions in C compilers, supported by machine hardware, to retrieve the ordered output sequence. Results show that Bit-index sort outperforms quicksort and counting sort algorithms when compared in their execution time. A parallel approach for Bit-index sort using two simultaneous threads is also included, which obtains further speedups of up to 1.6 compared to its sequential case.
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A waste sort is a process of hand-sorting onsite waste in order to quantify the amount and type of solid waste generated by businesses, organizations and municipalities to determine how much waste is ultimately ending up in the landfill. Data from waste sort events assists in identifying current waste practices and the feasibility of implementing commodity specific waste reduction, recycling and education programs.
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas. Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Attributed to human-mediated dispersal, a species of the Anopheles gambiae complex invaded northeastern Brazil in 1930. This event is considered unique among the intercontinental introductions of disease vectors and the most serious one: "Few threats to the future health of the Americas have equalled that inherent in the invasion of Brazil, in 1930, by Anopheles gambiae." Because it was only in the 1960s that An. gambiae was recognized as a species complex now including seven species, the precise species identity of the Brazilian invader remains a mystery. Here we used historical DNA analysis of museum specimens, collected at the time of invasion from Brazil, and aimed at the identification of the Brazilian invader. Our results identify the arid-adapted Anopheles arabiensis as being the actual invading species. Establishing the identity of the species, in addition to being of intrinsic historical interest, can inform future threats of this sort especially in a changing environment. Furthermore, these results highlight the potential danger of human-mediated range expansions of insect disease vectors and the importance of museum collections in retrieving historical information
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Pesquisa na cidade de Sâo Paulo identificou dificuldades que grupos de catadores autônomos de recicláveis enfrentam para se inserirrem no Programa de Coleta Seletiva oficial. A cidade gera diariamente 16 mil toneladas de resíduos, apenas 1% destinados à coleta seletiva. Entretanto, grupos de catadores coletam informalmente sem ser incluídos nas estatístias. Foram levantados bibliografia, legislação sobre resíduos, grupos atuantes na coleta seletiva; e aplicados formulários em 13 grupos. Dados indicaram organizaçãoDados indicaram organização e gestão dos grupos, dificuldades, gerenciamento e divisão dos recursos, participantes e interesse de participarem da coleta seletiva oficial. Das dificuldades que os grupos apontaram estão: falta de espaço adequado para guardar, separar e enfardar material coletado; falta de recursos para seu desenvolvimento; e falta de apoio do governo
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Diagnostic methods have been an important tool in regression analysis to detect anomalies, such as departures from error assumptions and the presence of outliers and influential observations with the fitted models. Assuming censored data, we considered a classical analysis and Bayesian analysis assuming no informative priors for the parameters of the model with a cure fraction. A Bayesian approach was considered by using Markov Chain Monte Carlo Methods with Metropolis-Hasting algorithms steps to obtain the posterior summaries of interest. Some influence methods, such as the local influence, total local influence of an individual, local influence on predictions and generalized leverage were derived, analyzed and discussed in survival data with a cure fraction and covariates. The relevance of the approach was illustrated with a real data set, where it is shown that, by removing the most influential observations, the decision about which model best fits the data is changed.