371 research outputs found
Estudo de produtividade em citros através da análise elementar determinadas em folhas utilizando a espectroscopia de emissão óptica com plasma induzido por laser.
Avaliação da técnica de espectroscopia de emissão óptica com plasma induzido por laser (LIBS) no estudo de doenças em citros: HLB (greening) e cancro cítrico.
Modelagem multivariada de espectros LIBS para detecção de traço de cobre em amostras de solo.
Determinação de estoques e formas estruturais de carbono em solos sob diversas culturas agrícolas do interior de São Paulo.
Entrada padronizada: BOMFIM, P. F
Modelo de calibração para estimativa do teor de carbono em amostras de nitossolo da região de Botucatu-SP utilizando a espectroscopia de emissão de plasma induzido por laser.
Indicações do manejo de pragas para percevejos.
Epocas de aparecimento; Determinacao da intensidade populacional; Metodos de amostragem; Ocorrencia nas diferentes cultivares; Controle; Biologia; Consideracoes finais.bitstream/item/23229/1/Doc9.pd
Desenvolvimento de modelos de calibração para quantificação de carbono em solos utilizando LIBS.
Mean clustering coefficients: the role of isolated nodes and leafs on clustering measures for small-world networks
Many networks exhibit the small-world property of the neighborhood
connectivity being higher than in comparable random networks. However, the
standard measure of local neighborhood clustering is typically not defined if a
node has one or no neighbors. In such cases, local clustering has traditionally
been set to zero and this value influenced the global clustering coefficient.
Such a procedure leads to underestimation of the neighborhood clustering in
sparse networks. We propose to include as the proportion of leafs and
isolated nodes to estimate the contribution of these cases and provide a
formula for estimating a clustering coefficient excluding these cases from the
Watts and Strogatz (1998 Nature 393 440-2) definition of the clustering
coefficient. Excluding leafs and isolated nodes leads to values which are up to
140% higher than the traditional values for the observed networks indicating
that neighborhood connectivity is normally underestimated. We find that the
definition of the clustering coefficient has a major effect when comparing
different networks. For metabolic networks of 43 organisms, relations changed
for 58% of the comparisons when a different definition was applied. We also
show that the definition influences small-world features and that the
classification can change from non-small-world to small-world network. We
discuss the use of an alternative measure, disconnectedness D, which is less
influenced by leafs and isolated nodes.Comment: final version of the manuscrip
Recomendações de inseticidas para utilização no programa de manejo de pragas da soja - safra 1981/82 - nos Estados do Paraná, São Paulo e Mato Grosso do Sul.
bitstream/item/53974/1/11.pd
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