Iterative strong coupling of dimensionally heterogeneous models

In this article we address decomposition strategies especially tailored to perform strong coupling of dimensionally heterogeneous models, under the hypothesis that one wants to solve each submodel separately and implement the interaction between subdomains by boundary conditions alone. The novel methodology takes full advantage of the small number of interface unknowns in this kind of problems. Existing algorithms can be viewed as variants of the `natural` staggered algorithm in which each domain transfers function values to the other, and receives fluxes (or forces), and vice versa. This natural algorithm is known as Dirichlet-to-Neumann in the Domain Decomposition literature. Essentially, we propose a framework in which this algorithm is equivalent to applying Gauss-Seidel iterations to a suitably defined (linear or nonlinear) system of equations. It is then immediate to switch to other iterative solvers such as GMRES or other Krylov-based method. which we assess through numerical experiments showing the significant gain that can be achieved. indeed. the benefit is that an extremely flexible, automatic coupling strategy can be developed, which in addition leads to iterative procedures that are parameter-free and rapidly converging. Further, in linear problems they have the finite termination property. Copyright (C) 2009 John Wiley & Sons, Ltd.

A new class of survival regression models with heavy-tailed errors: robustness and diagnostics

Birnbaum-Saunders models have largely been applied in material fatigue studies and reliability analyses to relate the total time until failure with some type of cumulative damage. In many problems related to the medical field, such as chronic cardiac diseases and different types of cancer, a cumulative damage caused by several risk factors might cause some degradation that leads to a fatigue process. In these cases, BS models can be suitable for describing the propagation lifetime. However, since the cumulative damage is assumed to be normally distributed in the BS distribution, the parameter estimates from this model can be sensitive to outlying observations. In order to attenuate this influence, we present in this paper BS models, in which a Student-t distribution is assumed to explain the cumulative damage. In particular, we show that the maximum likelihood estimates of the Student-t log-BS models attribute smaller weights to outlying observations, which produce robust parameter estimates. Also, some inferential results are presented. In addition, based on local influence and deviance component and martingale-type residuals, a diagnostics analysis is derived. Finally, a motivating example from the medical field is analyzed using log-BS regression models. Since the parameter estimates appear to be very sensitive to outlying and influential observations, the Student-t log-BS regression model should attenuate such influences. The model checking methodologies developed in this paper are used to compare the fitted models.

From the road network database to a graph for localization purposes

The problems of finding best facility locations require complete and accurate road network with the corresponding population data in a specific area. However the data obtained in road network databases usually do not fit in this usage. In this paper we propose our procedure of converting the road network database to a road graph which could be used in localization problems. The road network data come from the National road data base in Sweden. The graph derived is cleaned, and reduced to a suitable level for localization problems. The population points are also processed in ordered to match with that graph. The reduction of the graph is done maintaining most of the accuracy for distance measures in the network.

Monotone approximation of aggregation operators using least squares splines

The need for monotone approximation of scattered data often arises in many problems of regression, when the monotonicity is semantically important. One such domain is fuzzy set theory, where membership functions and aggregation operators are order preserving. Least squares polynomial splines provide great flexbility when modeling non-linear functions, but may fail to be monotone. Linear restrictions on spline coefficients provide necessary and sufficient conditions for spline monotonicity. The basis for splines is selected in such a way that these restrictions take an especially simple form. The resulting non-negative least squares problem can be solved by a variety of standard proven techniques. Additional interpolation requirements can also be imposed in the same framework. The method is applied to fuzzy systems, where membership functions and aggregation operators are constructed from empirical data.

Associations between early childhood temperament clusters and later pychosocial adjustment

The study adopted a person-centered approach to examine whether clusters of children could be identified on the basis of temperament profiles assessed on four occasions from infancy to early childhood, and if so whether differing temperament clusters were associated with subsequent differences in behavior problems, social skills, and school adjustment in middle and late childhood. Parent, teacher, and self-report data were obtained from a large community-based cohort sample of Australian children, followed prospectively from infancy to late childhood. Four temperament clusters were identified. Children in the clusters labeled as reactive/inhibited and poor attention regulation tended to have higher levels of later behavior problems than children in clusters labeled nonreactive/outgoing and high attention regulation. Results suggested that a person-oriented clustering approach can identify children on the basis of early temperament who are at greater risk for behavioral, academic, and social difficulties four to eight years later.

Byron Bay hysteria

"This time lapse video work of De Bruyn's evidences the bold rythmic structures found in his nahd-painted 16 mm film work. A prolific fimmaler, de Bruyn is a master of his craft and shows in this work that that mastery knows no bounds in this format."  Fractured Light exhibition catalogue

CAFS : a novel lightweight cache-based scheme for large-scale intrusion alert fusion

In this paper, we present some practical experiences on implementing an alert fusion mechanism from our project. After investigation on most of the existing alert fusion systems, we found the current body of work alternatively weighed down in the mire of insecure design or rarely deployed because of their complexity. As confirmed by our experimental analysis, unsuitable mechanisms could easily be submerged by an abundance of useless alerts. Even with the use of methods that achieve a high fusion rate and low false positives, attack is also possible. To find the solution, we carried out analysis on a series of alerts generated by well-known datasets as well as realistic alerts from the Australian Honey-Pot. One important finding is that one alert has more than an 85% chance of being fused in the following five alerts. Of particular importance is our design of a novel lightweight Cache-based Alert Fusion Scheme, called CAFS. CAFS has the capacity to not only reduce the quantity of useless alerts generated by intrusion detection system, but also enhance the accuracy of alerts, therefore greatly reducing the cost of fusion processing. We also present reasonable and practical specifications for the target-oriented fusion policy that provides a quality guarantee on alert fusion, and as a result seamlessly satisfies the process of successive correlation. Our experiments compared CAFS with traditional centralized fusion. The results showed that the CAFS easily attained the desired level of simple, counter-escapable alert fusion design. Furthermore, as a lightweight scheme, CAFS can easily be deployed and excel in a large amount of alert fusions, which go towards improving the usability of system resources. To the best of our knowledge, our work is a practical exploration in addressing problems from the academic point of view. Copyright © 2011 John Wiley & Sons, Ltd.

Dealing with alcohol-related harm and the night-time economy

Alcohol-related problems are a major cause of social disorder and illness in Australia. In particular, problems associated with the night-time economies of urban and regional centres cause substantial community concern and are a considerable drain on police, community and health resources. The estimated cost of alcohol to the community is $15.3 billion, including costs associated with crime, violence, patient treatment, loss of productivity and premature deaths in 2004–05 (Collins 2008). Alcohol has also been identified as a factor in around three quarters of assaults and incidents of offensive behaviour on the street (Buss 1995). Previous research has identified several issues that contribute to the levels of short-term harm associated with risky drinking. These include: excessive consumption at licensed premises, consumption in public areas and lack of transport and security in entertainment precincts (Homel et al. 1992; Graham & Homel 2008).

Drinking in licensed venues is another predictor of harm and public disorder. More than half of offences occurring on the street have been associated with licensed premises in Australia (Buss 1995). A complex range of factors increase risky drinking and associated harms on licensed premises including: aspects of patron mix; levels of comfort, boredom, and intoxication; promotions that cause mass intoxication; and the behaviour of security/bouncers (Homel et al. 1992). Violence has also been shown to be perpetuated by poor venue management, lax police surveillance, lack of transport options for patrons, and inappropriate bureaucratic controls and legislation (Homel et al. 1992). This project aims to provide evidence-based knowledge regarding the implementation and impact of innovative local initiatives directed at alcohol-related harms.

Transfer learning using the online FMM model

In this paper, we present an analysis on transfer learning using the Fuzzy Min-Max (FMM) neural network with an online learning strategy. Transfer learning leverages information from the source domain in solving problems in the target domain. Using the online FMM model, the data samples are trained one at a time. In order to evaluate the online FMM model, a transfer learning data set, based on data samples collected from real landmines, is used. The experimental results of FMM are analyzed and compared with those from other methods in the literature. The outcomes indicate that the online FMM model is effective for undertaking transfer learning tasks.

The relationship between problem gambling and attention deficit hyperactivity disorder

Recent studies indicate that treatment-seeking problem gamblers display elevated rates of ADHD and that adolescents who screen positive for ADHD are more likely to engage in gambling, develop gambling problems, and experience a greater severity in gambling problems. This study aimed to (a) compare the prevalence of ADHD in treatment-seeking problem gamblers to the general population; (b) investigate the relationships between ADHD and problem gambling severity, cluster B personality disorders, motor impulsivity, alcohol use, substance use, gender, and age; and (c) investigate the degree to which these factors moderate the relationship between ADHD and problem gambling severity. Participants included 214 adults (154 males, 58 females, 2 unspecified) who sought treatment for their gambling problems at a specialist gambling agency in Melbourne, Australia. Almost one-quarter (24.9 %) of treatment-seeking problem gamblers screened positively for ADHD, which was significantly higher than the 14 % prevalence in a community sample. ADHD was significantly positively correlated with problem gambling severity, motor impulsivity, and cluster B personality disorders, but was not associated with alcohol and substance use, gender or age. None of the factors significantly moderated the relationship between ADHD and problem gambling severity. These findings suggest that a considerable proportion of treatment-seeking problem gamblers report ADHD and that their clinical profile is complicated by the presence of high impulsivity and cluster B personality disorders. They highlight the need for specialist gambling agencies to develop screening, assessment, and management protocols for co-occurring ADHD to enhance the effectiveness of treatment.

Técnicas de avaliação da confiabilidade em estruturas de concreto armado

Neste trabalho é dado ênfase à inclusão das incertezas na avaliação do comportamento estrutural, objetivando uma melhor representação das características do sistema e uma quantificação do significado destas incertezas no projeto. São feitas comparações entre as técnicas clássicas existentes de análise de confiabilidade, tais como FORM, Simulação Direta Monte Carlo (MC) e Simulação Monte Carlo com Amostragem por Importância Adaptativa (MCIS), e os métodos aproximados da Superfície de Resposta( RS) e de Redes Neurais Artificiais(ANN). Quando possível, as comparações são feitas salientando- se as vantagens e inconvenientes do uso de uma ou de outra técnica em problemas com complexidades crescentes. São analisadas desde formulações com funções de estado limite explícitas até formulações implícitas com variabilidade espacial de carregamento e propriedades dos materiais, incluindo campos estocásticos. É tratado, em especial, o problema da análise da confiabilidade de estruturas de concreto armado incluindo o efeito da variabilidade espacial de suas propriedades. Para tanto é proposto um modelo de elementos finitos para a representação do concreto armado que incorpora as principais características observadas neste material. Também foi desenvolvido um modelo para a geração de campos estocásticos multidimensionais não Gaussianos para as propriedades do material e que é independente da malha de elementos finitos, assim como implementadas técnicas para aceleração das avaliações estruturais presentes em qualquer das técnicas empregadas. Para o tratamento da confiabilidade através da técnica da Superfície de Resposta, o algoritmo desenvolvido por Rajashekhar et al(1993) foi implementado. Já para o tratamento através de Redes Neurais Artificias, foram desenvolvidos alguns códigos para a simulação de redes percéptron multicamada e redes com função de base radial e então implementados no algoritmo de avaliação de confiabilidade desenvolvido por Shao et al(1997). Em geral, observou-se que as técnicas de simulação tem desempenho bastante baixo em problemas mais complexos, sobressaindo-se a técnica de primeira ordem FORM e as técnicas aproximadas da Superfície de Resposta e de Redes Neurais Artificiais, embora com precisão prejudicada devido às aproximações presentes.

Desenvolvimento social e empresarial no estado do Pará: um estudo de caso do empreendedorismo do SEBRAE Pará

A partir da missão do SEBRAE, que é promover o desenvolvimento sustentável, a competitividade das micro e pequenas empresas e o fomento ao empreendedorismo nos municípios paraenses, o estudo objetiva tratar a contribuição do órgão no desenvolvimento sócio-empresarial do Estado do Pará a partir de um foco empreendedor dentro de uma concepção teórica schumpeteriana. O SEBRAEPARÁ proporciona a criação de ferramentas de gestão e de consultorias (capacitação, mobilização, disseminação do empreendedorismo e do associativismo, entre outros) para a construção de um ambiente favorável à sustentabilidade e à ampliação dos pequenos negócios. A metodologia adotada para a pesquisa foi o estudo de caso, por se tratar de uma estratégia de pesquisa muito empregada em problemas contemporâneos. Os resultados da pesquisa enfatizam que o SEBRAEPARÁ é uma instituição totalmente alinhada à sua missão e aos desafios impostos pela globalização e abertura comercial que ainda estão em andamento no atual estágio da economia brasileira. Com isto, as micros e pequenas empresas assistidas no órgão, no Estado do Pará, estão se tornando mais focadas na qualidade, na competitividade e na sustentabilidade dos negócios implementados.

A indústria de fundos de investimento no Brasil : um estudo teórico e empírico sobre a relação fiduciária entre o administrador-gestor e os respectivos cotistas de fundos de investimentos

De acordo com dados de 07.10.2014 da Associação Brasileira das Entidades dos Mercados Financeiro e de Capitais – ANBIMA, no acumulado em 12 meses, entre aplicações, resgates e captações, a indústria de fundos movimentou mais de 11 bilhões de reais no Brasil. É um volume financeiro considerável, fazendo dos fundos de investimento importantes instrumentos de captação de poupança e de direcionamento de recursos para os mais diversos projetos de financiamento da economia. Além disso, as quebras de determinados conglomerados financeiros no Brasil nos últimos anos envolvendo fundos administrados e geridos por sociedades pertencentes a esses conglomerados colocou em evidência a importância de regras e estudos direcionados à relação entre o administrador-gestor e o cotista de fundos de investimento. De fato, pesquisa conduzida ao longo dos anos de 2013 e 2014 demonstrou que acadêmicos, reguladores e demais participantes do mercado de valores mobiliários possuem poucos estudos que possam assisti-los na solução de problemas relativos a essa relação, inclusive diante de situações envolvendo conflitos de interesses entre administradores-gestores e cotistas. Assim, diante da importância econômica dos fundos de investimento para o Brasil, da relevância dos direitos dos investidores dentro da indústria de fundos, e também em razão da escassez de estudos, este trabalho tem por finalidade realizar investigação teórica e empírica sobre a relação fiduciária entre o administrador, o gestor e os respectivos cotistas dos fundos de investimento. Dessa forma, o objetivo será identificar a origem, as características essenciais dessa relação, os riscos que ela pode trazer para o investidor e os deveres que ela impõe aos administradores e gestores. Para tanto, propõe-se avaliar a origem histórica da relação fiduciária e os fundamentos teóricos que a suportam aplicados aos fundos de investimento nos Estados Unidos e no Brasil. Com base nesse conhecimento teórico e sob o enfoque dos deveres fiduciários aplicáveis aos administradores e gestores, parte-se para a avaliação das normas de conduta contidas nas instruções da Comissão de Valores Mobiliários (CVM), visando testar as características da relação fiduciária diante das regras da CVM. Por fim, realiza-se estudo sobre casos em que administradores e gestores foram condenados por quebra na relação fiduciária e por inobservância de deveres específicos embutidos nas normas de conduta avaliadas anteriormente. Com fundamento nos estudos teóricos e empíricos descritos, conclui-se que existem características essenciais na configuração de uma relação fiduciária entre o administrador-gestor e o cotista de fundos de investimento e que, uma vez formada essa relação, administradores e gestores obrigam-se a observar o cumprimento de deveres de diligência e de lealdade perante o cotista. Igualmente, ainda é possível afirmar que as normas da CVM de fato instituem a relação fiduciária entre o administrador-gestor e o cotista de fundos de investimento, bem como os deveres fiduciários conexos a essa relação.

Problemas nas "fronteiras": um caso para ensino sobre o Programa Ciência Sem Fronteiras

Este caso para ensino enfoca o estágio de implementação de uma política pública de internacionalização do ensino superior no Brasil por meio do programa Ciência sem Fronteiras. A percepção desse programa por parte de alguns de seus beneficiários mostra que o programa enfrenta alguns problemas de gestão. Por conseguinte, o objetivo deste caso é levar o aluno de Administração Pública (de graduação ou de pós-graduação) a tomar decisões gerenciais para solucionar esses problemas após a análise e a avaliação deles. O caso visa a levar os estudantes a pensar a implementação da política pública do ponto de vista de seus protagonistas, isto é, dentro da visão de que os formuladores precisam também antecipar-se a potenciais problemas e corrigi-los, se não antes da implementação, pari passu com ela. Quer isso dizer que pretende atuar na formação de gestores do processo de implementação, instrumentalizando a correção de rumos mediante a captura das impressões dos alunos, na medida em que a iniciativa é implementada.