978 resultados para Carreggio, Antonio Allegri, known as, 1494-1534.


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1 carta (mecanografiada) ; 210x290mm. Ubicación: Caja 1 - Carpeta 5

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The Linear Ordering Problem is a popular combinatorial optimisation problem which has been extensively addressed in the literature. However, in spite of its popularity, little is known about the characteristics of this problem. This paper studies a procedure to extract static information from an instance of the problem, and proposes a method to incorporate the obtained knowledge in order to improve the performance of local search-based algorithms. The procedure introduced identifies the positions where the indexes cannot generate local optima for the insert neighbourhood, and thus global optima solutions. This information is then used to propose a restricted insert neighbourhood that discards the insert operations which move indexes to positions where optimal solutions are not generated. In order to measure the efficiency of the proposed restricted insert neighbourhood system, two state-of-the-art algorithms for the LOP that include local search procedures have been modified. Conducted experiments confirm that the restricted versions of the algorithms outperform the classical designs systematically. The statistical test included in the experimentation reports significant differences in all the cases, which validates the efficiency of our proposal.

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7 cartas (mecanografiadas) ; entre 215x286mm y 157x215mm. Ubicación: Caja 1 - Carpeta 10

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"The Role of Latin in the Early Modern World: Linguistic identity and nationalism 1350-1800". Contributions from the conference held at the Universitat Autònoma de Barcelona, Casa Convalescència, 5-6 May 2010. Edited by Alejandro Coroleu, Carlo Caruso & Andrew Laird

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9 cartas (mecanografiadas) ; 207x300mm. Ubicación: Caja 1 - Carpeta 36

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2 cartas (manuscritas) ; entre 220x140mm y 210x275mm. Ubicación: Caja 1 - Carpeta 69

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Francisco Manuel de Melo nasceu em Lisboa, em 23 de novembro de 1608, e morreu na sua quinta em Alcântara, em 13 de outubro de 1966. Estudou no colégio jesuíta, especializando-se em Filosofia e Teologia. Aos dezessete anos, decidiu seguir carreira militar. Condenado por instigar homicídio, esteve preso por onze anos, e, em 1655, foi degredado para o Brasil, para onde partiu na armada de Francisco de Brito Freire. Retornou a Portugal em 1658. De lá foi para a Itália, onde permaneceu por alguns anos e começou, em 1664, a fazer uma edição completa de suas obras, às quais, por motivo ignorado, não deu continuidade. Transferiu-se para Lisboa, onde, logo depois, veio a falecer. Historiador, poeta, orador e crítico-moralista, Francisco Manuel foi um dos escritores mais eruditos e polidos.

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Referencia : Diccionario Bibliographico Portuguez / Innocencio Francisco da Silva, 1858. v. 1 p. 122.

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It is well known in the scientific community that some remote sensing instruments assume that sample volumes present homogeneous conditions within a defined meteorological profile. At complex topographic sites and under extreme meteorological conditions, this assumption may be fallible depending on the site, and it is more likely to fail in the lower layers of the atmosphere. This piece of work tests the homogeneity of the wind field over a boundary layer wind profiler radar located in complex terrain on the coast under different meteorological conditions. The results reveal the qualitative importance of being aware of deviations in this homogeneity assumption and evaluate its effect on the final product. Patterns of behavior in data have been identified in order to simplify the analysis of the complex signal registered. The quality information obtained from the homogeneity study under different meteorological conditions provides useful indicators for the best alternatives the system can offer to build wind profiles. Finally, the results are also to be considered in order to integrate them in a quality algorithm implemented at the product level.

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The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing these techniques are able to highlight panels of genes that are altered in cancer. However, these candidate cancer genes must then be scrutinized to reveal whether they contribute to oncogenesis or are coincidental and non-causative. We present a computational method for the prioritization of candidate (i) proto-oncogenes and (ii) tumour suppressor genes from oncogenomic experiments. We constructed computational classifiers using different combinations of sequence and functional data including sequence conservation, protein domains and interactions, and regulatory data. We found that these classifiers are able to distinguish between known cancer genes and other human genes. Furthermore, the classifiers also discriminate candidate cancer genes from a recent mutational screen from other human genes. We provide a web-based facility through which cancer biologists may access our results and we propose computational cancer gene classification as a useful method of prioritizing candidate cancer genes identified in oncogenomic studies.

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Recently, probability models on rankings have been proposed in the field of estimation of distribution algorithms in order to solve permutation-based combinatorial optimisation problems. Particularly, distance-based ranking models, such as Mallows and Generalized Mallows under the Kendall’s-t distance, have demonstrated their validity when solving this type of problems. Nevertheless, there are still many trends that deserve further study. In this paper, we extend the use of distance-based ranking models in the framework of EDAs by introducing new distance metrics such as Cayley and Ulam. In order to analyse the performance of the Mallows and Generalized Mallows EDAs under the Kendall, Cayley and Ulam distances, we run them on a benchmark of 120 instances from four well known permutation problems. The conducted experiments showed that there is not just one metric that performs the best in all the problems. However, the statistical test pointed out that Mallows-Ulam EDA is the most stable algorithm among the studied proposals.

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7 cartas (mecanografiadas y manuscritas) ; entre 210x270mm y 210x295mm y una tarjeta de 140x105mm