855 resultados para JURISPRUDENTIAL SUB-RULE


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By remote sensing, geodatabase digital processing, information and expeditions to Capivara's sub-basin, was possible to identify the changes in the landscape mainly the expansion of eucalyptus, sugar-cane, and orange trees, being the last two, mainly on the Periferic Depression of Basaltic Cuesta. A significant portion of the soil on this geological area is formed from sandstones, providing high permeability to them, making them important places to groundwater recharge areas as sensible to contamination by pesticides. Throughout last decade was observed that the native vegetation fragments stabilization, keeping a reason of 26.5% on the land used between 2000 and 2010. The pasture decrease being substituted by eucalyptus, sugar-cane and orange trees call attention for the changes in the agribusiness model demanded by the current economic and social necessity. Pasture decrease followed by erosions decrease on sub-basin is evidence that these two aspects are strongly related.

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The sediment production in river basins is an important aspect for planning the land use. Mathematical models are useful tools for analyzing the problem by providing speed, convenience and flexibility to the simulations of current conditions and future. In this article we evaluate a methodology to simulate the sediment production combining the MUSLE, a hydrologic model (ABC) and a GIS in different scenarios of land use. The models used showed good performance for purposes of planning land use, as well as for agricultural and environmental planning.

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Although association mining has been highlighted in the last years, the huge number of rules that are generated hamper its use. To overcome this problem, many post-processing approaches were suggested, such as clustering, which organizes the rules in groups that contain, somehow, similar knowledge. Nevertheless, clustering can aid the user only if good descriptors be associated with each group. This is a relevant issue, since the labels will provide to the user a view of the topics to be explored, helping to guide its search. This is interesting, for example, when the user doesn't have, a priori, an idea where to start. Thus, the analysis of different labeling methods for association rule clustering is important. Considering the exposed arguments, this paper analyzes some labeling methods through two measures that are proposed. One of them, Precision, measures how much the methods can find labels that represent as accurately as possible the rules contained in its group and Repetition Frequency determines how the labels are distributed along the clusters. As a result, it was possible to identify the methods and the domain organizations with the best performances that can be applied in clusters of association rules.

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The aim of this study was to determine the anthropometrical and physiological profile of futsal players and compare between under-20 and adults categories. Twenty four male athletes futsal participated in the study. They played in two teams of futsal-level state: a team with players under-20 (12 athletes); and another with players of the adults category (12 athletes). The participants performed a routine assessment involving anthropometric measurements (body mass, size, thickness of skin folds, perimeter body and bone diameter) and tests to estimate the aerobic and anaerobic capacity. The results did not indicate differences in relation to the anthropometrical and physiological profile between the under-20 and adults categories. We concluded that the promotion of athletes from the under-20 category for the adult's category taking into account the anthropometrical profile and aerobic and anaerobic performance indicators is recommended. However, other indicators, such as the technical, tactical and psychological aspects are important to help in understanding this promotion phase and in the training. © FTCD/FIP-MOC.

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Includes bibliography

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Contiene la propuesta de resolución a ser discutida en la reunión sobre el cambio de nombre del Instituto por el de: Instituto Latinoamericano y del Caribe de Planificación Económica y Social, y conservar la sigla ILPES.

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Many topics related to association mining have received attention in the research community, especially the ones focused on the discovery of interesting knowledge. A promising approach, related to this topic, is the application of clustering in the pre-processing step to aid the user to find the relevant associative patterns of the domain. In this paper, we propose nine metrics to support the evaluation of this kind of approach. The metrics are important since they provide criteria to: (a) analyze the methodologies, (b) identify their positive and negative aspects, (c) carry out comparisons among them and, therefore, (d) help the users to select the most suitable solution for their problems. Some experiments were done in order to present how the metrics can be used and their usefulness. © 2013 Springer-Verlag GmbH.