Uma análise do embeddedness na formação de valor em redes de empresas: um exemplo de aplicação em uma rede do setor metal-mecânico

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Previsão de séries temporais financeiras por meio de redes neurais dinâmicas e processos de transformação de dados: uma abordagem empírico-comparativa

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

O ponto de vista em semiótica: fundamentos teóricos e ensaio de aplicação em A hora da estrela

Pós-graduação em Linguística e Língua Portuguesa - FCLAR

Fatores que afetam a viabilidade e a proporção do sexo de embriões bovinos produzidos in vitro em programa de sexagem comercial

Pós-graduação em Ciência Animal - FMVA

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

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Indicadores na estimativa do fluxo de nutrientes no duodeno, produção fecal, consumo de concentrado e volumoso por bovinos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Avaliação das curvas de peso e de altura uterina no rastreamento de restrição de crescimento intra-uterino

Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB

Estudo comparativo morfológico e imunoistoquímico entre citoinclusão e espécime cirúrgico de carcinoma primário da mama

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Clonagem e expressão do gene da nucleoproteína (np) do vírus da doença de newcastle em Escherichia coli para aplicação no imunodiagnóstico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Imunomarcação de proteínas de estresse (HSP 27, HSP 72, HSP 90) e proteína P53 em neoplasias mamárias de cadelas

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimando o desfecho no recém-nascido grave através da Lógica Fuzzy

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Risco de crédito: uma abordagem utilizando análise discriminante, regressão logística e redes neurais artificiais

Considering the relevance of researches concerning credit risk, model diversity and the existent indicators, this thesis aimed at verifying if the Fleuriet Model contributes in discriminating Brazilian open capital companies in the analysis of credit concession. We specifically intended to i) identify the economic-financial indicators used in credit risk models; ii) identify which economic-financial indicators best discriminate companies in the analysis of credit concession; iii) assess which techniques used (discriminant analysis, logistic regression and neural networks) present the best accuracy to predict company bankruptcy. To do this, the theoretical background approached the concepts of financial analysis, which introduced themes relative to the company evaluation process; considerations on credit, risk and analysis; Fleuriet Model and its indicators, and, finally, presented the techniques for credit analysis based on discriminant analysis, logistic regression and artificial neural networks. Methodologically, the research was defined as quantitative, regarding its nature, and explanatory, regarding its type. It was developed using data derived from bibliographic and document analysis. The financial demonstrations were collected by means of the Economática ® and the BM$FBOVESPA website. The sample was comprised of 121 companies, being those 70 solvents and 51 insolvents from various sectors. In the analyses, we used 22 indicators of the Traditional Model and 13 of the Fleuriet Model, totalizing 35 indicators. The economic-financial indicators which were a part of, at least, one of the three final models were: X1 (Working Capital over Assets), X3 (NCG over Assets), X4 (NCG over Net Revenue), X8 (Type of Financial Structure), X9 (Net Thermometer), X16 (Net Equity divided by the total demandable), X17 (Asset Turnover), X20 (Net Equity Profitability), X25 (Net Margin), X28 (Debt Composition) and X31 (Net Equity over Asset). The final models presented setting values of: 90.9% (discriminant analysis); 90.9% (logistic regression) and 97.8% (neural networks). The modeling in neural networks presented higher accuracy, which was confirmed by the ROC curve. In conclusion, the indicators of the Fleuriet Model presented relevant results for the research of credit risk, especially if modeled by neural networks.

Four year multitrophic food web: source food web description, methodology accuracy and species diversity

Food webs have been used in order to understand the trophic relationship among organisms within an ecosystem, however the extension by which sampling efficiency could affect food web responses remain poorly understood. Still, there is a lack of long-term sampling data for many insect groups, mainly related to the interactions between herbivores and their host plants. In the first chapter, I describe a source food web based on the Senegalia tenuifolia plant by identifying the associated insect species and the interactions among them and with this host plant. Furthermore, I check for the data robustness from each trophic level and propose a cost-efficiently methodology. The results from this chapter show that the collected dataset and the methodology presented are a good tool for sample most insect richness of a source food web. In total the food web comprises 27 species belonging to four trophic levels. In the second chapter, I demonstrate the temporal variation in the species richness and abundance from each trophic level, as well as the relationship among distinct trophic levels. Moreover, I investigate the diversity patterns of the second and third trophic level by assessing the contribution of alfa and beta-diversity components along the years. This chapter shows that in our system the parasitoid abundance is regulated by the herbivore abundances. Besides, the species richness and abundances of the trophic levels vary temporally. It also shows that alfa-diversity was the diversity component that most contribute to the herbivore species diversity (2nd trophic level), while the contribution of alfa- and beta-diversity changed along the years for parasitoid diversity (3rd level). Overall, this dissertation describes a source food web and bring insights into some food web challenges related to the sampling effort to gather enough species from all trophic levels. It also discuss the relation among communities associated with distinct trophic levels and their temporal variation and diversity patterns. Finally, this dissertation contributes for the world food web database and in understanding the interactions among its trophic levels and each trophic level pattern along time and space

Estudo in vitro para avaliação e validação de medidas lineares na tomografia computadorizada 3D cone beam comparadas às medidas do crânio in situ

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fusão de métodos baseados em minúcias e em cristas para reconhecimento de impressões digitais

Pós-graduação em Ciência da Computação - IBILCE