955 resultados para Formal asymptotics
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Using the Pricing Equation in a panel-data framework, we construct a novel consistent estimator of the stochastic discount factor (SDF) which relies on the fact that its logarithm is the "common feature" in every asset return of the economy. Our estimator is a simple function of asset returns and does not depend on any parametric function representing preferences. The techniques discussed in this paper were applied to two relevant issues in macroeconomics and finance: the first asks what type of parametric preference-representation could be validated by asset-return data, and the second asks whether or not our SDF estimator can price returns in an out-of-sample forecasting exercise. In formal testing, we cannot reject standard preference specifications used in the macro/finance literature. Estimates of the relative risk-aversion coefficient are between 1 and 2, and statistically equal to unity. We also show that our SDF proxy can price reasonably well the returns of stocks with a higher capitalization level, whereas it shows some difficulty in pricing stocks with a lower level of capitalization.
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Um dos maiores desafios das universidades, em especial das públicas, é transpor o conhecimento científico produzido entre seus muros para a população em geral. A educação não formal é uma ferramenta importante e ainda pouco utilizada pelos pesquisadores e docentes para aproximar o cotidiano do conhecimento científico. O câncer de boca atinge mais 11.000 brasileiros por ano. A despeito da alta incidência, esta patologia é ainda pouco conhecida da população em geral e de parte da classe médica e odontológica. Baseando-se nos dados epidemiológicos, em pesquisas e artigos científicos, o câncer de boca foi o tema eleito para a ação em educação e comunicação da primeira campanha nacional, de caráter não governamental, de prevenção de câncer de boca, um ótimo exemplo de como isso pode ser feito. Este trabalho se propõe a descrever a metodologia de comunicação utilizada e os resultados obtidos nesta experiência.
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O presente artigo analisa os resultados obtidos num minicurso sobre o Sol e sua dinâmica realizado no Observatório Astronômico do Centro de Divulgação Científica e Cultural (CDCC) pertencente à Universidade de São Paulo (USP) na cidade de São Carlos para alunos do ensino fundamental. As atividades foram desenvolvidas na recente inaugurada, Sala Solar. Ela é dedicada ao estudo do Sol, enfatizando a observação de manchas solares e do espectro do Sol. A metodologia adotada no minicurso consistiu em pequenos experimentos, observações e diálogos expositivos. Isto incentivou os estudantes a tomarem decisões, fazerem questionamentos e refletirem gerando pensamentos mais críticos e produzindo um maior número de conexões entre o real e o abstrato que contribuiu para níveis de maior complexidade conceitual verificados durante entrevistas semiestruturadas e nas respostas ao questionário final.
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Monoclonal antibodies (MAb) have been commonly applied to measure LDL in vivo and to characterize modifications of the lipids and apoprotein of the LDL particles. The electronegative low density lipoprotein (LDL(-)) has an apolipoprotein B-100 modified at oxidized events in vivo. In this work, a novel LDL-electrochemical biosensor was developed by adsorption of anti-LDL(-) MAb on an (polyvinyl formal)-gold nanoparticles (PVF-AuNPs)-modified gold electrode. Electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV) were used to characterize the recognition of LDL-. The interaction between MAb-LDL(-) leads to a blockage in the electron transfer of the [Fe(CN)(6)](4-)/K(4)[Fe(CN)(6)](3-) redox couple, which may could result in high change in the electron transfer resistance (R(CT)) and decrease in the amperometric responses in CV analysis. The compact antibody-antigen complex introduces the insulating layer on the assembled surface, which increases the diameter of the semicircle, resulting in a high R(CT), and the charge transferring rate constant k(0) decreases from 18.2 x 10(-6) m/s to 4.6 x 10(-6) m/s. Our results suggest that the interaction between MAb and lipoprotein can be quantitatively assessed by the modified electrode. The PVF-AuNPs-MAb system exhibited a sensitive response to LDL(-), which could be used as a biosensor to quantify plasmatic levels of LDL(-). (C) 2011 Elsevier B.V. All rights reserved.
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This paper reports on a qualitative field study conducted in Australia which examined what is occurring in formal performance appraisal interviews in relation to their objectivity and resultant outcomes. Supervisors and subordinates who had recently been involved in performance appraisals were interviewed about their experiences of the process. Perceptions of the utility of, and satisfaction with the interview process were examined. Further, the effect of the relationship between the participants on objectivity was investigated. Results indicated that formal appraisal interviews were not perceived to be of great utility, and that the relationship of the participants influenced the interview.
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Previous work on generating state machines for the purpose of class testing has not been formally based. There has also been work on deriving state machines from formal specifications for testing non-object-oriented software. We build on this work by presenting a method for deriving a state machine for testing purposes from a formal specification of the class under test. We also show how the resulting state machine can be used as the basis for a test suite developed and executed using an existing framework for class testing. To derive the state machine, we identify the states and possible interactions of the operations of the class under test. The Test Template Framework is used to formally derive the states from the Object-Z specification of the class under test. The transitions of the finite state machine are calculated from the derived states and the class's operations. The formally derived finite state machine is transformed to a ClassBench testgraph, which is used as input to the ClassBench framework to test a C++ implementation of the class. The method is illustrated using a simple bounded queue example.
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Taking functional programming to its extremities in search of simplicity still requires integration with other development (e.g. formal) methods. Induction is the key to deriving and verifying functional programs, but can be simplified through packaging proofs with functions, particularly folds, on data (structures). Totally Functional Programming avoids the complexities of interpretation by directly representing data (structures) as platonic combinators - the functions characteristic to the data. The link between the two simplifications is that platonic combinators are a kind of partially-applied fold, which means that platonic combinators inherit fold-theoretic properties, but with some apparent simplifications due to the platonic combinator representation. However, despite observable behaviour within functional programming that suggests that TFP is widely-applicable, significant work remains before TFP as such could be widely adopted.
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We prove two asymptotical estimates for minimizers of a Ginzburg-Landau functional of the form integral(Omega) [1/2 \del u\(2) + 1/4 epsilon(2) (1 - \u\(2))(2) W (x)] dx.
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In order to analyse the effect of modelling assumptions in a formal, rigorous way, a syntax of modelling assumptions has been defined. The syntax of modelling assumptions enables us to represent modelling assumptions as transformations acting on the set of model equations. The notion of syntactical correctness and semantical consistency of sets of modelling assumptions is defined and methods for checking them are described. It is shown on a simple example how different modelling assumptions act on the model equations and their effect on the differential index of the resulted model is also indicated.
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Formal Concept Analysis is an unsupervised machine learning technique that has successfully been applied to document organisation by considering documents as objects and keywords as attributes. The basic algorithms of Formal Concept Analysis then allow an intelligent information retrieval system to cluster documents according to keyword views. This paper investigates the scalability of this idea. In particular we present the results of applying spatial data structures to large datasets in formal concept analysis. Our experiments are motivated by the application of the Formal Concept Analysis idea of a virtual filesystem [11,17,15]. In particular the libferris [1] Semantic File System. This paper presents customizations to an RD-Tree Generalized Index Search Tree based index structure to better support the application of Formal Concept Analysis to large data sources.