Programa computacional para geração de séries sintéticas de precipitação

Desenvolveu-se um programa computacional que permite a aplicação da metodologia para geração de séries sintéticas de precipitação desenvolvida por OLIVEIRA (2003). O desenvolvimento do aplicativo foi viabilizado pela elaboração de um algoritmo computacional em ambiente de programação “Borland Delphi 6.0”. Os dados de entrada necessários são provenientes de banco de dados no formato padronizado pela Agência Nacional de Águas (ANA) com registros pluviométricos diários provenientes de estações meteorológicas. A partir dessas informações, o programa computacional é capaz de gerar séries sintéticas de precipitação diária contendo o total precipitado em milímetros, a duração do evento em horas, o tempo padronizado de ocorrência da intensidade máxima instantânea e a intensidade máxima instantânea padronizada. A série sintética gerada é armazenada em arquivos no formato “Texto” que podem ser acessados posteriormente por outros aplicativos e/ou planilhas eletrônicas. Além dos arquivos, são apresentadas várias informações na forma de gráficos e quadros, facilitando a avaliação do desempenho da metodologia desenvolvida.A computational model was developed to generate synthetic series of rainfall using the method developed by OLIVEIRA (2003). The software was developed in Borland Delphi 6.0 environment. The input data come from the daily precipitation data in the standardized format of the National Water Agency (ANA). The software is capable to generate synthetic series of daily rainfall containing the amount and the duration of the rainfall, and the standardized event time of the maximum instantaneous intensity. The generated synthetic series are stored in text-formatted files that may be accessed by others softwares and/or electronic datasheets. There were also presented graphs and tables format, to easily evaluate the performance of the method developed

Age-related transcriptional changes in gene expression in different organs of mice support the metabolic stability theory of aging

Individual differences in the rate of aging are determined by the efficiency with which an organism transforms resources into metabolic energy thus maintaining the homeostatic condition of its cells and tissues. This observation has been integrated with analytical studies of the metabolic process to derive the following principle: The metabolic stability of regulatory networks, that is the ability of cells to maintain stable concentrations of reactive oxygen species (ROS) and other critical metabolites is the prime determinant of life span. The metabolic stability of a regulatory network is determined by the diversity of the metabolic pathways or the degree of connectivity of genes in the network. These properties can be empirically evaluated in terms of transcriptional changes in gene expression. We use microarrays to investigate the age-dependence of transcriptional changes of genes in the insulin signaling, oxidative phosphorylation and glutathione metabolism pathways in mice. Our studies delineate age and tissue specific patterns of transcriptional changes which are consistent with the metabolic stability–longevity principle. This study, in addition, rejects the free radical hypothesis which postulates that the production rate of ROS, and not its stability, determines life span