Aplicação de modelos de agentes e redes complexas na caracterização e estudo da interação entre insetos sociais, com enfoque em formigas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Emprego de redes complexas para modelar e analisar a disseminação de microrganismos da familia enterobacteriaceae em pacientes mantidos em unidades de terapia intensiva

Nowadays the studies of different methodologies to interfere in the growing and spread of serious infections and systemic status in institutionalized patients those kept on intensive therapy units are relevant to understanding these complex systems and bring benefits to several health areas, particularly public health. In this study, it was analyzed the clinical and microbiological data from patients hospitalized in intensive therapy units. The interaction between patients and caregivers was modeled and analyzed using dynamic system model and complex network theory, identifying outbreaks values of microorganisms of Enterobacteriaceae Family.

Redes de transformação do processo de inovação: o caminho entre a descoberta e a comercialização

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Construção, caracterização global e local de redes biológicas

A Biologia Sistêmica visa a compreensão da vida através de modelos integrativos que enfatizem as interações entre os diferentes agentes biológicos. O objetivo é buscar por leis universais, não nas partes componentes dos sistemas mas sim nos padrões de interação dos elementos constituintes. As redes complexas biológicas são uma poderosa abstração matemática que permite a representação de grandes volumes de dados e a posterior formulação de hipóteses biológicas. Nesta tese apresentamos as redes biológicas integradas que incluem interações oriundas do metabolismo, interação física de proteínas e regulação. Discutimos sua construção e ferramentas para sua análise global e local. Apresentamos também resultados do uso de ferramentas de aprendizado de máquina que nos permitem compreender a relação entre propriedades topológicas e a essencialidade gênica e a previsão de genes mórbidos e alvos para drogas em humanos

Caracterização topológica dos motivos das redes biológicas integradas da Escherichia coli e da Saccharomyces cerevisiae

The reducionism method has helped in the clari cation of functioning of many biological process. However, such process are extremely complex and have emergent properties that can not be explained or even predicted by reducionism methods. To overcome these limits, researchers have been used a set of methods known as systems biology, a new area of biology aiming to understand the interactions between the multiple components of biological processes. These interactions can be represented by a mathematical object called graph or network, where the interacting elements are represented by a vertex and the interactions by edges that connect a pair of vertexes. Into graphs it is possible to nd subgraphs, occurring in complex networks at numbers that are signi cantly higher than those in randomized networks, they are de ned as motifs. As motifs in biological networks may represent the structural units of biological processess, their detection is important. Therefore, the aim of this present work was detect, count and classify motifs present in biological integrated networks of bacteria Escherichia coli and yeast Saccharomyces cere- visiae. For this purpose, we implemented codes in MathematicaR and Python environments for detecting, counting and classifying motifs in these networks. The composition and types of motifs detected in these integrated networks indicate that such networks are organized in three main bridged modules composed by motifs in which edges are all the same type. The connecting bridges are composed by motifs in which the types of edges are diferent

O papel das redes de transformação no processo de inovação: estudos de caso sobre a descoberta e a comercialização da inovação

Innovation is widely recognized as important. In addition, in this context, innovation networks have gained importance in academic studies, since an organization alone, does not always have access to all necessary resources. Gobbo Junior and Olsson (2010) proposed a model of network innovation whereby the transformation networks would be the linking structures between exploration and exploitation networks. In this context, this paper presents two case studies of innovation networks, aiming to increase the understanding on transformation networks. The objective was to understand how they interconnect exploration and exploitation networks; the main actors present in this interface; and to evaluate whether these actors can act as agents, to accelerate the innovation process. It was possible to verify how the transformation networks interconnect exploration and exploitation, and identify the practices and their main actors.

Análise de redes sociais e aspectos financeiros da produção de tilápias em tanques-rede na uhe de Ilha Solteira

Pós-graduação em Agronegócio e Desenvolvimento - Tupã

Operador quaterniônico de Klein-Gordon-Dirac

Pós-graduação em Matemática - IBILCE

Proposta de uma abordagem metodológica para analisar como os fatores posicionais influenciam as prioridades competitivas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Construção e análise da rede integrada de interações entre genes humanos envolvida com a regulação da trnsição G1/S do ciclo celular plea adesão à matriz extracelular

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelo linguístico-computacional para um dicionário analógico digital

Pós-graduação em Linguística e Língua Portuguesa - FCLAR

Implementação do algoritmo de Newman para identificação de comunidades em placas gráficas

Communities are present on physical, chemical and biological systems and their identification is fundamental for the comprehension of the behavior of these systems. Recently, available data related to complex networks have grown exponentially, demanding more computational power. The Graphical Processing Unit (GPU) is a cost effective alternative suitable for this purpose. We investigate the convenience of this for network science by proposing a GPU based implementation of Newman community detection algorithm. We showed that the processing time of matrix multiplications of GPUs grow slower than CPUs in relation to the matrix size. It was proven, thus, that GPU processing power is a viable solution for community dentification simulation that demand high computational power. Our implementation was tested on an integrated biological network for the bacterium Escherichia coli

A realidade contemporânea das relações institucionais: desafios e oportunidades para as Relações Públicas

The contemporary organizations establish complex networks of relationships with their audiences. However, it is the socio-historical setting of the organizations that allow that their internal structures, management and culture as well as their interests and goals in relation to the macro social environment to be understood. To understand what is currently proposed as institutional relations, it is necessary to search on that socio-historical source the progress in the studies of management and organizational communication aiming to prove the assumptions underlying this strategic role within organizations. In order to do that, this project raises ethnographic aspects of the institutional relationships to see what is proposed by the organizations and, therefore, highlights the lack of detailed studies in this area. From this survey, it is clear the possible role of public relations in contributing to studies, plans and execution of institutional relations according to the basement in the humanities and communication processes of networks of relationships between organizations

Modelos matemáticos e computacionais para descrever a transmissão de dois sorotipos de vírus de dengue

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Redes e territórios: a articulação do setor metal-mecânico nos municípios de Araras e Piracicaba

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