703 resultados para Multilevel governance
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Background The objectives were to estimate the prevalence of hepatitis A among children and adolescents from the Northeast and Midwest regions and the Federal District of Brazil and to identify individual-, household- and area-levels factors associated with hepatitis A infection. Methods This population-based survey was conducted in 20042005 and covered individuals aged between 5 and 19 years. A stratified multistage cluster sampling technique with probability proportional to size was used to select 1937 individuals aged between 5 and 19 years living in the Federal capital and in the State capitals of 12 states in the study regions. The sample was stratified according to age (59 and 10- to 19-years-old) and capital within each region. Individual- and household-level data were collected by interview at the home of the individual. Variables related to the area were retrieved from census tract data. The outcome was total antibodies to hepatitis A virus detected using commercial EIA. The age distribution of the susceptible population was estimated using a simple catalytic model. The associations between HAV infection and independent variables were assessed using the odds ratio and corrected for the random design effect and sampling weight. Multilevel analysis was performed by GLLAMM using Stata 9.2. Results The prevalence of hepatitis A infection in the 59 and 1019 age-group was 41.5 and 57.4, respectively for the Northeast, 32.3 and 56.0, respectively for the Midwest and 33.8 and 65.1 for the Federal District. A trend for the prevalence of HAV infection to increase according to age was detected in all sites. By the age of 5, 31.5 of the children had already been infected with HAV in the Northeast region compared with 20.0 in the other sites. By the age of 19 years, seropositivity was 70 in all areas. The curves of susceptible populations differed from one area to another. Multilevel modeling showed that variables relating to different levels of education were associated with HAV infection in all sites. Conclusion The study sites were classified as areas with intermediate endemicity area for hepatitis A infection. Differences in age trends of infection were detected among settings. This multilevel model allowed for quantification of contextual predictors of hepatitis A infection in urban areas.
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The benefits of breastfeeding for the children`s health have been highlighted in many studies. The innovative aspect of the present study lies in its use of a multilevel model, a technique that has rarely been applied to studies on breastfeeding. The data reported were collected from a larger study, the Family Budget Survey-Pesquisa de Orcamentos Familiares, carried out between 2002 and 2003 in Brazil that involved a sample of 48 470 households. A representative national sample of 1477 infants aged 0-6 months was used. The statistical analysis was performed using a multilevel model, with two levels grouped by region. In Brazil, breastfeeding prevalence was 58%. The factors that bore a negative influence on breastfeeding were over four residents living in the same household [odds ratio (OR) = 0.68, 90% confidence interval (CI) = 0.51-0.89] and mothers aged 30 years or more (OR = 0.68, 90% CI = 0.53-0.89). The factors that positively influenced breastfeeding were the following: higher socio-economic levels (OR = 1.37, 90% CI = 1.01-1.88), families with over two infants under 5 years (OR = 1.25, 90% CI = 1.00-1.58) and being a resident in rural areas (OR = 1.25, 90% CI = 1.00-1.58). Although majority of the mothers was aware of the value of maternal milk and breastfed their babies, the prevalence of breastfeeding remains lower than the rate advised by the World Health Organization, and the number of residents living in the same household along with mothers aged 30 years or older were both factors associated with early cessation of infant breastfeeding before 6 months.
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The design of binary morphological operators that are translation-invariant and locally defined by a finite neighborhood window corresponds to the problem of designing Boolean functions. As in any supervised classification problem, morphological operators designed from a training sample also suffer from overfitting. Large neighborhood tends to lead to performance degradation of the designed operator. This work proposes a multilevel design approach to deal with the issue of designing large neighborhood-based operators. The main idea is inspired by stacked generalization (a multilevel classifier design approach) and consists of, at each training level, combining the outcomes of the previous level operators. The final operator is a multilevel operator that ultimately depends on a larger neighborhood than of the individual operators that have been combined. Experimental results show that two-level operators obtained by combining operators designed on subwindows of a large window consistently outperform the single-level operators designed on the full window. They also show that iterating two-level operators is an effective multilevel approach to obtain better results.
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The purpose of this article is to present a new method to predict the response variable of an observation in a new cluster for a multilevel logistic regression. The central idea is based on the empirical best estimator for the random effect. Two estimation methods for multilevel model are compared: penalized quasi-likelihood and Gauss-Hermite quadrature. The performance measures for the prediction of the probability for a new cluster observation of the multilevel logistic model in comparison with the usual logistic model are examined through simulations and an application.
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The traveling salesman problem is although looking very simple problem but it is an important combinatorial problem. In this thesis I have tried to find the shortest distance tour in which each city is visited exactly one time and return to the starting city. I have tried to solve traveling salesman problem using multilevel graph partitioning approach.Although traveling salesman problem itself very difficult as this problem is belong to the NP-Complete problems but I have tried my best to solve this problem using multilevel graph partitioning it also belong to the NP-Complete problems. I have solved this thesis by using the k-mean partitioning algorithm which divides the problem into multiple partitions and solving each partition separately and its solution is used to improve the overall tour by applying Lin Kernighan algorithm on it. Through all this I got optimal solution which proofs that solving traveling salesman problem through graph partition scheme is good for this NP-Problem and through this we can solved this intractable problem within few minutes.Keywords: Graph Partitioning Scheme, Traveling Salesman Problem.
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Tackling a problem requires mostly, an ability to read it, conceptualize it, represent it, define it, and then applying the necessary mechanisms to solve it. This may sound self-evident except when the problem to be tackled happens to be “complex, “ “ill-structured,” and/or “wicked.” Corruption is one of those kinds of problems. Both in its global and national manifestations it is ill-structured. Where it is structural in nature, endemic and pervasive, it is perhaps even wicked. Qualities of the kind impose modest expectations regarding possibilities of any definitive solution to this insidious phenomenon. If so, it may not suffice to address the problem of corruption using existing categories of law and/or good governance, which overlook the “long-term memory” of the collective and cultural specific dimensions of the subject. Such socio-historical conditions require focusing on the interactive and self-reproducing networks of corruption and attempting to ‘subvert’ that phenomenon’s entire matrix. Concepts such as collective responsibility, collective punishment and sanctions are introduced as relevant categories in the structural, as well as behavioral, subversion of some of the most prevalent aspects of corruption. These concepts may help in the evolving of a new perspective on corruption fighting strategies.
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Tackling a problem requires mostly, an ability to read it, conceptualize it, represent it, define it, and then applying the necessary mechanisms to solve it. This may sound self-evident except when the problem to be tackled happens to be “complex, “ “ill-structured,” and/or “wicked.” Corruption is one of those kinds of problems. Both in its global and national manifestations it is ill-structured. Where it is structural in nature, endemic and pervasive, it is perhaps even wicked. Qualities of the kind impose modest expectations regarding possibilities of any definitive solution to this insidious phenomenon. If so, it may not suffice to address the problem of corruption using existing categories of law and/or good governance, which overlook the “long-term memory” of the collective and cultural specific dimensions of the subject. Such socio-historical conditions require focusing on the interactive and self-reproducing networks of corruption and attempting to ‘subvert’ that phenomenon’s entire matrix. Concepts such as collective responsibility, collective punishment and sanctions are introduced as relevant categories in the structural, as well as behavioral, subversion of some of the most prevalent aspects of corruption. These concepts may help in the evolving of a new perspective on corruption fighting strategies.
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Public and private actors increasingly cooperate in global governance, a realm previously reserved for states and intergovernmental organizations (IOs). This trend raises fascinating theoretical questions. What explains the rise in public-private institutions and their role in international politics? Who leads such institutional innovation and why? To address the questions, this paper develops a theory of the political demand and supply of public-private institutions and specifies the conditions under which IOs and non-state actors would cooperate, and states would support this public-private cooperation. The observable implications of the theoretical argument are evaluated against the broad trends in public-private cooperation and in a statistical analysis of the significance of demand and supply-side incentives in public-private cooperation for sustainable development. The study shows that public-private institutions do not simply fill governance gaps opened by globalization, but cluster in narrower areas of cooperation, where the strategic interests of IOs, states, and transnational actors intersect.
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University systems rely on organizational and governance structures to balance the interest, missions, and needs of constituent campuses. This report examines organizational and governance structures of four public university systems. It explores the organizational structures of governing boards and administrative offices, as well as the role of system offices in coordinating across constituent campuses and protecting mission differentiation.
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This paper is designed to provide a first approach to some questions raised by the Global administrative Law Project concerning the anti money laundering system, as a global governance project, and how it works in Latin America. We address some interactions between actors at the global, regional and local level. So we have organized our presentation according to those three spaces: 1) global standards, 2) regional efforts and 3) national experiences, where we present the contrast between Brazil and Argentina.
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O presente trabalho trata da questão da governance e do empreendedorismo, ou seja, da governance empreendedora, enquanto instrumentos para que um governo local promova o desenvolvimento econômico e social e alcance a sustentabilidade política e econômica, frente ao paradoxo da globalização. Averigüando a possibilidade do exercrcio da governance empreendedora, traz como estudo de caso, o governo santista de 1989 a 1992, conduzido por Teima de Souza. Aborda as políticas públicas formuladas e adotadas no período, referentes às questões ambientais e de saúde, levadas a termo pelo governo local, bem como, problemas pertinentes à questão portuária e de participação popular, procurando identificar na lide governamental os princípios da governance e do empreendedorismo.
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Mercados financeiros e finanças corporativas
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Mercados financeiros e finanças corporativas
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As primeiras regiões metropolitanas brasileiras foram instituídas de maneira vertical e autoritária como parte da estratégia de desenvolvimento nacional promovida pelo governo militar. Percebidas como instituições não-democráticas e rejeitadas como possível quarto ente federativo, as regiões metropolitanas, desde a Constituição de 1988, foram gradualmente esvaziadas dos seus propósitos originais. Em sua orfandade, os problemas socioeconômicos proliferaram e foram acentuados, e passaram a predominar relações intergovernamentais competitivas em vez de cooperativas. Um dos principais desafios enfrentados pelo modelo federalista brasileiro, em especial quando se trata destas regiões, está relacionado à necessidade de estabelecer maior cooperação e coordenação, tidas como imprescindíveis para garantir um relacionamento mais equilibrado entre os entes federativos, assim como para a efetiva implementação de políticas de enfrentamento das desigualdades e exclusão social nas aglomerações urbanas. Este trabalho analisa o Grande Recife Consórcio Metropolitano de Transportes (CMT), empresa pública multifederativa estabelecida em 2008 entre os governos municipais e estadual da Região Metropolitana de Recife (RMR). Responsável pelo planejamento, gestão e implementação compartilhada da política de transporte público coletivo na RMR, o Grande Recife se tornou realidade com a aprovação e regulamentação da Lei Federal nº 11.107 de 2005, conhecida como a Lei de Consórcios Públicos. O Grande Recife é uma experiência pioneira e inovadora, demonstrando que é possível encontrar uma maneira de superar conflitos e desafios comuns e, ao mesmo tempo, garantir a preservação da autonomia de cada ente, bem como os direitos cidadãos. Neste trabalho consideramos essa experiência de cooperação intergovernamental como um exemplo de multi-level governance (MLG), uma vez que é ilustrativa de um novo arranjo institucional democrático entre distintas esferas governamentais para a gestão compartilhada de um serviço público.
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State ownership of publicly-traded corporations remains pervasive around the world, and has been increasing in recent years. Existing literature focuses on the implications of government ownership for corporate governance and performance at the firm level. This Article, by contrast, explores the different but equally important question of whether the presence of the state as a shareholder can impose negative externalities on the corporate law regime available to the private sector. Drawing from historical experiments with government ownership in the United States, Brazil, China, and Europe, this study shows that the conflict of interest stemming from the state’s dual role as a shareholder and regulator can influence the content of corporate laws to the detriment of outside investor protection and efficiency. It thus addresses a gap in the literature on the political economy of corporate governance by incorporating the political role of the state as shareholder as another mechanism to explain the relationship between corporate ownership structures and legal investor protection. Finally, this Article explores the promise of different institutional arrangements to constrain the impact of the state’s interests as a shareholder on the corporate governance environment, and concludes by offering several policy recommendations.