916 resultados para COMPONENT ANALYSIS
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Brazilian wines are appreciated by consumers for having fruity odor and taste which are typical from Vitis labrusca cultivars. The rusticity of these cultivars, the winemaking and the physicochemical properties are some of the key factors to obtain a quality beverage. In this context, the aim of this article was to analyze the quality of three white wines from wineries located in northwest region of São Paulo state by determining physicochemical properties and sensory profile. Data were analyzed by statistical tests and by Principal Component Analysis (PCA). It was possible to observe statistical differences (P<0,05) in most physicochemical properties. Furthermore, the PCA showed that the attributes body and color significantly explained the variance of the first and second component, respectively, higlighting the Vitis vinifera wine. Thus the connection between the physicochemical and sensory properties of white wines was important for characterization of these beverages produced in the northwest of São Paulo.
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Aim The aim of this study was to understand the biogeography of Brachygastra. As the spatial component of evolution is of fundamental importance to understanding the processes shaping the evolution of taxa, the known geological history of the Neotropical region was used together with the current phylogeny and distribution of species to investigate questions concerning the biogeography of Brachygastra: the ancestral ranges of Brachygastra species; their areal relationships and their congruence with previously published hypotheses; the possible associated vicariance events and the influence of land bridges between North and South America, and the split between the Amazon and Atlantic forests. Location Neotropical region, from Mexico to central Argentina and southern USA. Methods Statistical dispersal–vicariance analysis (S-DIVA) was used to reconstruct the possible ancestral ranges of Brachygastra species based on their phylogeny (divided into three groups, lecheguana, scuttelaris and smithii). A Brooks parsimony analysis (BPA) and component analysis were performed to reconstruct the areal relationships of these species within the Neotropics. Results S-DIVA suggested a widespread, South American ancestral region for Brachygastra. The ancestral B. azteca probably reached the Nearctic before a posterior vicariance event separated it from the species groups ((lecheguana (scutellaris + smithii))), that stayed in the Atlantic forest. The ancestral (scutellaris + smithii groups) possibly reached the Amazon by dispersal, and the subsequent vicariance event splitting the Atlantic forest and Amazon separated the groups into scutellaris in the Atlantic forest and smithii in the Amazon. BPA and component analyses suggested that the Nearctic was a sister area to other regions, the Andes and Mesoamerica was a sister area to the Neotropical regions and the Amazon was closely related to the Atlantic forest. Main conclusions The phylogeny and distribution of Brachygastra suggest the influence of a land bridge between the Northern and Southern Hemispheres affecting the cladogenesis of B. azteca and the importance of the formation of the two blocks of forests in South America to the cladogenesis of the main groups of Brachygastra. Future comparisons between the distribution patterns of other taxa should enable a more precise identification of the possible events and outcomes, adding robustness to the hypothesized areal relationships.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The objective of this paper is to relate the set of financial ratios that are directly related to the success of public traded companies using a methodological approach and the method of multivariate principal component analysis. This study consists in the use of profitability ratios, debt and liquidity, to define the relationship between financial ratios with the best public traded companies listed in the magazine Exame Melhores e Maiores of 2013. Multivariate analysis was used to reduce the dimensionality of multivariate data, making linear combinations of the original variables (financial ratios) and express the data in principal components that result in new variables that contains much of the original data. As a result, we got the optimal number of five principal components, and both represent 95.6% of the original data. Among of all financial ratios, we can highlight the direct relationship between profitability ratios for the first principal component, and the direct relationship between the liquidity ratios, both inversely related with non-capital participation rates and degree indebtedness to the second principal component
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The knowledge of the structure characteristic of the Organic Matter is important for the understanding of the natural process. In this context aquatic humic substances (principal fraction) were isolated from water sample collected from the two distinct rivers, using procedure recommended for International Humic Substances Society and characterized by elemental analysis, electron paramagnetic resonance and nuclear magnetic resonance (13C NMR). The results were interpreted using principal component analysis (PCA) and the statistical analyses showed different in the structural characteristics of the aquatic humic substances studied.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV
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Pós-graduação em Ciências Ambientais - Sorocaba
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Pós-graduação em Ciência Animal - FMVA
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RESUMO: O objetivo do estudo foi estimar a validade e confiabilidade da Escala de atitudes em relação à Estatística (EAE) quando aplicada a estudantes de Ciências Farmacêuticas. A amostra de 253 estudantes foi subdividida em duas partes. Sessenta por cento da amostra foi utilizada para explorar a estrutura fatorial e 40% para confirmá-la. Para verificar a reprodutibilidade da escala a mesma foi aplicada em duplicata a 40 estudantes. Aplicou-se o Teste de esfericidade de Bartlett e o índice Kaiser-Meyer-Olkin (KMO). A extração dos fatores foi realizada pela Análise de Componentes Principais. Realizou-se rotação ortogonal Varimax. Calculou-se o Coeficiente alfa de Cronbach (α) e o Coeficiente de Correlação Intraclasse (ρ). Realizou-se análise fatorial confirmatória. Elaborou-se um modelo hierárquico de segunda ordem (MHSO). O teste de esfericidade de Bartlett e o índice KMO foram excelentes (χ 2 =1835,815, p<0,001; KMO=0,935). Verificou-se dois fatores com valores próprios acima de 1 (λ=9,748; λ=2,086) explicando 59,2% da variância total. A questão 2 foi removida. Observou-se excelente consistência interna e reprodutibilidade. O modelo fatorial apresentou índices de qualidade de ajustamento bons (λ=0,59-0,86, χ 2 /gl=1,691, CFI=0,919, GFI=0,804, RMSEA=0,079). A validade discriminante dos fatores foi adequada. A EAE apresentou estrutura bifatorial na amostra com níveis de validade e confiabilidade adequados.
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Pós-graduação em Zootecnia - FMVZ
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The present study was developed in two streams from the two different drainage basins located in the mid-southern region of Paraná state. In each stream were evaluated some physical and chemical parameters in open (without streamside vegetation) and shaded (with streamside vegetation) segments. Monthly samplings were carried out from January to December 2007. The following limnological parameters were measured: water temperature, specific conductance, oxygen saturation, pH, turbidity and current velocity. In the same stream were not observed differences among segments from the drainage basins, and nominal values and seasonal pattern have been very similar between open and shaded ambient. A Principal Component Analysis (PCA) showed small divergence between streams and segments, with separation of groups with base sampling dates. The results suggest that the region is homogeneous according to physical and chemical water conditions, therefore, stronger influenced for time factor, and diverging seasonal periods associated a climatic region condition.