Navegando por Assunto "Multivariate analysis"
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Item Acesso aberto (Open Access) Chemometric identification and nutritional evaluation of three species of Lutjanidae (Perciformes) from the Amazonian Atlantic Coast based on fatty acid profiles(Instituto Nacional de Pesquisas da Amazônia, 2016-12) ALMEIDA, Edilene Santos de; SILVA, Evaldo Martins daThe fatty acid (FA) profiles of fish species with a similar genetic or geographic origin are important quality parameters that attract bioecological interest because they are influenced by the nutritional habits of the species. The aim of this study was to determine the proximate compositions and FA profiles of heart, brain and muscle tissues from three fish species (Lutjanus purpureus, Lutjanus synagris and Ocyurus chrysurus) captured from the Amazonian Atlantic Coast. In addition to performing nutritional analysis of the FA profiles, principal components analysis (PCA) was performed as a chemometric tool to discriminate among the species. Lutjanus synagris had the highest protein content (18.23%), while O. chrysurus possessed the highest lipid content (4.25%). All of the nutritional quality parameters (the n-6/n-3 and Σ polyunsaturated FA/Σ saturated FA ratios and dietary indices of atherogenicity and thrombogenicity) of the FA profiles of the three species are of interest to consumers. In general, the predominant FA in the tissues of all species analyzed was palmitic acid, followed by stearic acid. Oleic acid was predominant among the monounsaturated FAs, while docosahexaenoic acid was the most prevalent polyunsaturated FA. Chemometric analysis was an effective tool for fish identification. PCA showed that the FA profiles of the brain tissues were optimal for discriminating among the species, with O. chrysurus showing the most different FA profile from the others. The muscle FA profile was the most useful for identifying L. purpureus.Item Acesso aberto (Open Access) Diagnóstico da estrutura de cluster da indústria de móveis de madeira do estado do Pará(Universidade da Amazônia, 2014-10) CARVALHO, André Cutrim; VIEGAS, Socorro de Fátima Souza da Silva; CARVALHO, David FerreiraThe fundamental aim of this paper is to use multivariate analysis to a set of heterogeneous in order to draw a diagnosis of cluster structure of wooden furniture industry in Pará data. Methodologically, the methods used were agglomerations, also called clustering with application of 84 questionnaires in mobile firms in the state of Pará, in order to reveal the industrial clusters and the relationships between some variables indicative of the competitiveness and wooden furniture companies in the region. The main conclusion of this work concerns the identification of the usefulness and application of the technique of cluster analysis in the field of industrial economics, which was quite significant, especially with the use of SPSS-12 software, which served to analyze the cases of groups of wooden furniture Para companies that have good empirical potential formation of competitive industrial clusters, therefore, to break the status quo, we have to define a national policy of regional development that promotes the formation of vertically integrated production chains, and a foreign trade policy that encourages exports of higher value-added arising from the furniture industry of Pará.Item Acesso aberto (Open Access) Índice de vulnerabilidade socioambiental para o enfrentamento da dengue no Estado do Pará(Universidade Federal do Pará, 2022-04-28) LOPES, Luiza de Nazaré Almeida; TEIXEIRA, Luiza Carla Girard Mendes; http://lattes.cnpq.br/9773700229115395Dengue is one of the neglected tropical diseases that is important for public health in Brazil, as it inspires attention due to the increased incidence of cases influenced by macro and microfactors that provide favorable conditions for the expansion of mosquito vectors and transmission of the dengue virus (DENV). The research proposes the ecological study of dengue and the construction of a Dengue Socio-environmental Vulnerability Index (IVD) to analyze 143 municipalities in the state of Pará. The IVD design considered the selection of 34 indicators of the three fundamental components of the vulnerability concept: exposure, sensitivity and adaptive capacity. The methodology consisted of the following steps: (i) selection and grouping of indicators; (ii) definition of indicators; (iii) statistical treatments; (iv) calculation of the index by multivariate analysis; (v) index normalization; and (vi) index classification using the percentile technique. In the survey, 184,000 cases of dengue were considered, of which 92,000 progressed to hospitalization by the SUS, in the period from 2001 to 2017. The epidemiological profile of dengue indicated a seasonal behavior of the disease, occurring mainly in the quarter from January to March . For the construction of the IVD, the period from 2007 to 2017 was considered, in the mapping results it was observed that 43 municipalities (30%) were classified as "Low vulnerability", with values ranging from 0.483 to 0.262. About 57 municipalities (40%) presented values with “Medium vulnerability” in the range of 0.581 to 0.483. With reference to “High vulnerability”, 43 municipalities (30%) stood out, distributed in the range from 0.771 to 0.582. The results obtained from the profile that characterized the IVD showed a predominance of “Medium to Low vulnerability”. The city of Belém, capital of Pará and located in the Guajará region, presented the lowest value for IVD (0.262). On the other hand, most municipalities in the Marajó region had the highest IVD values, namely: Cachoeira do Arari, Chaves, Ponta de Pedras, Melgaço, Santa Cruz do Arari and Anajás. The indicators that most influenced the result of the index was the “socioeconomic” factor of the populations, especially related to poverty, income, urbanization, illiteracy and solid waste management. From the application of the IVD, it can be stated that it can be used as a relevant tool for the management of dengue health surveillance in the municipalities of the Amazon region, with the potential to be studied in other regions of Brazil.