783 resultados para Fundamentals of computing theory
Resumo:
O impacto positivo dos investimentos de Private Equity e Venture Capital (PE/VC) na economia e no mercado de capitais está amplamente documentado pela literatura acadêmica internacional. Nos últimos 40 anos, diversos autores têm estudado a influência desta classe de ativos na criação, no desenvolvimento e na transformação de milhares de empresas ao redor do mundo, especialmente nos Estados Unidos. Entretanto, os estudos sobre os determinantes da captação de recursos de PE/VC têm se desenvolvido apenas mais recentemente, e seus resultados estão longe de ser uma unanimidade. No Brasil, a pesquisa sobre a indústria de PE/VC ainda é escassa. Embora a indústria local venha crescendo rapidamente desde 2006, tendo alcançado US$36,1 bilhões em capital comprometido em 2009, ainda não há estudos sobre as variáveis que influenciam na alocação de capital pelos investidores nesta modalidade de investimento no Brazil. Entender esta dinâmica é importante para o equilíbrio e a eficiência de mercado. Baseado no trabalho de Gompers e Lerner (1998) sobre os determinantes da indústria de PE/VC nos Estados Unidos, este trabalho contribui com a literatura de PE/VC ao: (i) revisitar o começo desta indústria no Brasil; e (ii) identificar quais as variáveis influenciam no desenvolvimento da indústria de PE/VC local. Os resultados deste estudo contribuem para o desenvolvimento acadêmico da indústria de PE/VC no Brasil. Além disso, as discussões aqui apresentadas poderão impactar outras áreas de estudo que são permeadas pelo tema, tais como Gestão de Investimentos, Governança Corporativa, Empreendedorismo e Estratégia. Profissionais de mercado também deverão se interessar no trabalho. As discussões sobre a história e os fundamentos da indústria fornecem aos investidores, empreendedores, gestores de investimentos e formuladores de políticas públicas, entre outros, um melhor entendimento sobre como o ecossistema de PE/VC funciona no Brasil.
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Many years ago Zel'dovich showed how the Lagrange condition in the theory of differential equations can be utilized in the perturbation theory of quantum mechanics. Zel'dovich's method enables us to circumvent the summation over intermediate states. As compared with other similar methods, in particular the logarithmic perturbation expansion method, we emphasize that this relatively unknown method of Zel'dovich has a remarkable advantage in dealing with excited stares. That is, the ground and excited states can all be treated in the same way. The nodes of the unperturbed wavefunction do not give rise to any complication.
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Presents a citation analysis of indexing research in the two Proceedings. Understanding that there are different traditions of research into indexing, we look for evidence of this in the citing and cited authors. Three areas of cited and citing authors surface, after applying Price's elitism analysis, each roughly corresponding to geographic distributions.
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Pós-graduação em Física - IFT
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The potential merits of Carver and Scheier's (1981) control theory in the prediction of targeted violence are reviewed and several novel indicators of risk that are consistent with this theory are suggested for study. It was hypothesized that: (a) similarity between inappropriate contact with politicians and extremist group literature and writings; (b) the temporal proximity to violent or otherwise criminal actions and notable anniversaries of such groups; (c) detailed specification of a plan to engage in problematic approach behavior, and; (d) self-focus, will be significant predictors of problematic approach behavior. A sample of 506 individuals who engaged in threatening or otherwise inappropriate contact toward members of the United States Congress was drawn from the case files of the United States Capitol Police. Results of the present research indicated that detailed specification of a plan to engage in problematic approach behavior was strongly predictive of actually engaging in problematic approach. Furthermore, high self-focus was significantly related to problematic approach between-persons, although within-person, higher-than-average self-focus showed no such relation. Neither temporal proximity to notable acts of extremist violence nor similarity to known extremist group writings was found to be associated with problematic approach in this sample.
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The dissertation is structured in three parts. The first part compares US and EU agricultural policies since the end of WWII. There is not enough evidence for claiming that agricultural support has a negative impact on obesity trends. I discuss the possibility of an exchange in best practices to fight obesity. There are relevant economic, societal and legal differences between the US and the EU. However, partnerships against obesity are welcomed. The second part presents a socio-ecological model of the determinants of obesity. I employ an interdisciplinary model because it captures the simultaneous influence of several variables. Obesity is an interaction of pre-birth, primary and secondary socialization factors. To test the significance of each factor, I use data from the National Longitudinal Survey of Adolescent Health. I compare the average body mass index across different populations. Differences in means are statistically significant. In the last part I use the National Survey of Children Health. I analyze the effect that family characteristics, built environment, cultural norms and individual factors have on the body mass index (BMI). I use Ordered Probit models and I calculate the marginal effects. I use State and ethnicity fixed effects to control for unobserved heterogeneity. I find that southern US States tend have on average a higher probability of being obese. On the ethnicity side, White Americans have a lower BMI respect to Black Americans, Hispanics and American Indians Native Islanders; being Asian is associated with a lower probability of being obese. In neighborhoods where trust level and safety perception are higher, children are less overweight and obese. Similar results are shown for higher level of parental income and education. Breastfeeding has a negative impact. Higher values of measures of behavioral disorders have a positive and significant impact on obesity, as predicted by the theory.
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In this thesis we discuss a representation of quantum mechanics and quantum and statistical field theory based on a functional renormalization flow equation for the one-particle-irreducible average effective action, and we employ it to get information on some specific systems.
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The Internet of Things (IoT) is the next industrial revolution: we will interact naturally with real and virtual devices as a key part of our daily life. This technology shift is expected to be greater than the Web and Mobile combined. As extremely different technologies are needed to build connected devices, the Internet of Things field is a junction between electronics, telecommunications and software engineering. Internet of Things application development happens in silos, often using proprietary and closed communication protocols. There is the common belief that only if we can solve the interoperability problem we can have a real Internet of Things. After a deep analysis of the IoT protocols, we identified a set of primitives for IoT applications. We argue that each IoT protocol can be expressed in term of those primitives, thus solving the interoperability problem at the application protocol level. Moreover, the primitives are network and transport independent and make no assumption in that regard. This dissertation presents our implementation of an IoT platform: the Ponte project. Privacy issues follows the rise of the Internet of Things: it is clear that the IoT must ensure resilience to attacks, data authentication, access control and client privacy. We argue that it is not possible to solve the privacy issue without solving the interoperability problem: enforcing privacy rules implies the need to limit and filter the data delivery process. However, filtering data require knowledge of how the format and the semantics of the data: after an analysis of the possible data formats and representations for the IoT, we identify JSON-LD and the Semantic Web as the best solution for IoT applications. Then, this dissertation present our approach to increase the throughput of filtering semantic data by a factor of ten.