Desarrollo local y alternativas de desarrollo productivo: el impulso de un cluster eco-turístico en la región de Aysén

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Cluster analysis and artificial neural network on the superovulatory response prediction in mice

Complex biological systems require sophisticated approach for analysis, once there are variables with distinct measure levels to be analyzed at the same time in them. The mouse assisted reproduction, e.g. superovulation and viable embryos production, demand a multidisciplinary control of the environment, endocrinologic and physiologic status of the animals, of the stressing factors and the conditions which are favorable to their copulation and subsequently oocyte fertilization. In the past, analyses with a simplified approach of these variables were not well succeeded to predict the situations that viable embryos were obtained in mice. Thereby, we suggest a more complex approach with association of the Cluster Analysis and the Artificial Neural Network to predict embryo production in superovulated mice. A robust prediction could avoid the useless death of animals and would allow an ethic management of them in experiments requiring mouse embryo.

QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes

Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio coverage and large areas to be monitored, the organization of nodes in small clusters is generally used. Moreover, a large number of WSN nodes is usually deployed in the monitoring area to increase WSN dependability. Therefore, the best cluster head positioning is a desirable characteristic in a WSN. In this paper, we propose a hybrid clustering algorithm based on community detection in complex networks and traditional K-means clustering technique: the QK-Means algorithm. Simulation results show that QK-Means detect communities and sub-communities thus lost message rate is decreased and WSN coverage is increased. © 2012 IEEE.

Improving hierarchical document cluster labels through candidate term selection

One way to organize knowledge and make its search and retrieval easier is to create a structural representation divided by hierarchically related topics. Once this structure is built, it is necessary to find labels for each of the obtained clusters. In many cases the labels must be built using all the terms in the documents of the collection. This paper presents the SeCLAR method, which explores the use of association rules in the selection of good candidates for labels of hierarchical document clusters. The purpose of this method is to select a subset of terms by exploring the relationship among the terms of each document. Thus, these candidates can be processed by a classical method to generate the labels. An experimental study demonstrates the potential of the proposed approach to improve the precision and recall of labels obtained by classical methods only considering the terms which are potentially more discriminative. © 2012 - IOS Press and the authors. All rights reserved.

Inovação no desenvolvimento de produtos em cluster industrial: Práticas do setor moveleiro de votuporanga

It is notorious that the cluster formation is a possibility for micro, small and medium companies to become more competitive. This research therefore aims to analyze leading practices for product innovation in companies belonging to the cluster of Votuporanga, which is the largest furniture industry in production and exporting of São Paulo state. Therefore, we conducted a survey research and data were collected from 61 furniture companies in the region of Votuporanga-SP. Among the main results it is observed that the incremental innovation of products is a central characteristic between the companies in cluster and there is little collaboration for the joint development of products from these companies with external agents such as research institutes, universities and even suppliers.

Correlação entre propriedades petrográficas e comportamento tecnológico e de alterabilidade das rochas ornamentais silicáticas Diamante Negro (BA), Ocre Itabira e Banco Galaxy (ES)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Cluster lácteo en el Uruguay

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El cluster de lácteos en Colombia

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El cluster lácteo en Chile

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Análise in silico de um novo “cluster” de PKS II Metagenômico

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Modelo de virtualização distribuída aplicado ao gerenciamento e replicação de cluster multiuso

Pós-graduação em Ciência da Computação - IBILCE

Análise de sequências da região intergência ITS-1 do rDNA em espécies de Drosophila do cluster buzzatti, (complexo Buzzatti, subgrupo Mullerri, grupo Repleta). -

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise de cluster da indústria de móveis de madeira do Pará

Neste trabalho, aplica-se a técnica de análise multivariada a um conjunto de dados variados, reunidos por intermédio da aplicação de questionários em 84 empresas da indústria de móveis de madeira do Estado do Pará. O objetivo do emprego dessa técnica é revelar os clusters industriais e as relações existentes entre algumas variáveis indicativas da competitividade e dos casos (empresas de móveis) e depois selecionar as relações mais próximas capazes de formar os agrupamentos industriais.

Genetic relationships among native americans based on beta-globin gene cluster haplotype frequencies

The distribution of b-globin gene haplotypes was studied in 209 Amerindians from eight tribes of the Brazilian Amazon: Asurini from Xingú, Awá-Guajá, Parakanã, Urubú-Kaapór, Zoé, Kayapó (Xikrin from the Bacajá village), Katuena, and Tiriyó. Nine different haplotypes were found, two of which (n. 11 and 13) had not been previously identified in Brazilian indigenous populations. Haplotype 2 (+ - - - -) was the most common in all groups studied, with frequencies varying from 70% to 100%, followed by haplotype 6 (- + + - +), with frequencies between 7% and 18%. The frequency distribution of the b-globin gene haplotypes in the eighteen Brazilian Amerindian populations studied to date is characterized by a reduced number of haplotypes (average of 3.5) and low levels of heterozygosity and intrapopulational differentiation, with a single clearly predominant haplotype in most tribes (haplotype 2). The Parakanã, Urubú-Kaapór, Tiriyó and Xavante tribes constitute exceptions, presenting at least four haplotypes with relatively high frequencies. The closest genetic relationships were observed between the Brazilian and the Colombian Amerindians (Wayuu, Kamsa and Inga), and, to a lesser extent, with the Huichol of Mexico. North-American Amerindians are more differentiated and clearly separated from all other tribes, except the Xavante, from Brazil, and the Mapuche, from Argentina. A restricted pool of ancestral haplotypes may explain the low diversity observed among most present-day Brazilian and Colombian Amerindian groups, while interethnic admixture could be the most important factor to explain the high number of haplotypes and high levels of diversity observed in some South-American and most North-American tribes.