1000 resultados para Índice de precisão
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Relações Internacionais (UNESP - UNICAMP - PUC-SP) - FFC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Educação - FFC
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Pós-graduação em Educação - FFC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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El Índice de Desarrollo Humano (idh) es un indicador diseñado para hacer seguimiento al desarrollo de los países a través de tres dimensiones: salud, educación e ingresos. Desde su publicación en 1990, se han hecho importantes esfuerzos por mejorar su calidad y en repetidas ocasiones se ha insistido en que no es una medida definitiva. Atendiendo a este hecho, a continuación se expone una reflexión en torno de lo que es el desarrollo humano, sus pilares y las dimensiones que se deberían incorporar al indicador (empleo y libertades políticas) para reforzar su capacidad de evidenciar los avances en la materia. Además, se presentan el idh modificado, las especificaciones para su cálculo y un anexo en que se muestra su comportamiento en 117 países.
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Pós-graduação em Agronomia (Proteção de Plantas) - FCA
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Odontologia Restauradora - ICT
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Este artículo tiene como objetivo la elaboración de un índice de inestabilidad política (INS) del Brasil entre 1889 y 2009. Dicho índice refleja un conjunto amplio de múltiples fenómenos que representan conflictos entre los diversos grupos sociales. Por medio de la presentación de diferentes definiciones de lo que se entiende por inestabilidad política en la bibliografía económica y mediante la utilización de múltiples acontecimientos históricos -golpes de Estado, conflictos civiles, destituciones constitucionales o inconstitucionales y cambios en la composición del 50% del gabinete de ministros- se obtienen distintos indicadores que se reducen a uno solo gracias a la técnica del componente principal, para obtener así un ins del Brasil en el período comprendido entre 1889 y 2009.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Among the crops commercially exploited in Brazil, the coffee has a great economic importance, especially in the states of Minas Gerais and Espirito Santo. In the search for higher yield and lower environmental impact, farmers and researchers seek to develop new technologies that result in greater efficiency in various production processes of the coffee. For this, the adoption of precision agriculture in the management of operations in coffee crops, called precision coffee, has shown results that justify its use, by identifying the spatial variability of several variables, allowing its localized management and in the proper intensity. Unlike conventional management that is based on the average of observations in an area, precision agriculture uses a more detailed sampling, based on a sampling grid, which allows to represent in greater detail the reality of farming. Many previous studies have identified the spatial variability of the production of coffee system variables, but without worrying about the quality of information obtained due to the sampling grid used as precision and accuracy. Given the above, the objective of this study was to evaluate the quality of four different sampling grids for different variables and three times, in order to identify the most appropriate grid for use in precision coffee. Also aimed to compare the results between the precision coffee and conventional, according to reference values.
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The aim of the study was to develop a system of growth and yield models for thinned stands of Eucalyptus spp.; and to assess the behavior of the growth in scenarios with 10% decrease or increase in rainfall. The probability distribution functions Weibull 2 and 3 parameters and Johnson SB for different methods were fitted. Correlation between the fitted parameters with age was evaluated. Dominant height growth behavior was evaluated to check if thinned stand changes its growth when compared to a non-thinned stands. The stand variables dominant height and basal area were projected and simultaneously predicted and projected, respectively. Individual tree equations were fitted, which were fitted as functions of stand level variables in order to decrease the error propagation. R software was used to fit all the proposed models and consequently all the fitted models were evaluated by their parameters significance (F-test) and graphs of predicted values in relation to the observed values around the 1:1 line. Thus, the prognosis system was made by two ways, first one using the full data set, and for the second one the dataset was restricted at age 7.5. Increase and decrease in 20% of rainfall were assessed by updating the site index function. Method of moments was the most precise to describe the diameter distribution for every age in eucalyptus stands for Johnson SB and Weibull 2 parameters pdfs. When observed for each pdf the correlation for their fitted parameters with age, we noticed that shape parameters for a thinned stand were no longer correlated with age, differently of non-thinned stands. Thus, thinning effect was accounted in the basal area prediction and projection modeling. This result emphasized the necessity of applying the Parameter Recovery method in order to assess differences and capture the right pattern for thinned and non-thinned stands in the future. Dominant height was not influenced by thinning intensity. Therefore the fitted Chapman-Richards model did not account for a stand being thinned or not. All the fitted equations behaved with good precision, no matter using full or precocious dataset. The prognosis system using full and/or precocious date set was evaluated for when using Parameter Recovery method for Sb and Weibull pdfs, and by then, graphical analysis and precision statistics showed appropriated results. Finally, the increase or decrease in rainfall regime were observed for eucalyptus stand yields and we may notice how important is to observe this effect, since the growth pattern is strictly affected by water.