842 resultados para objective audits
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This paper examines whether access to information enhances political accountabil- ity. Based upon the results of Brazil's recent anti-corruption program that randomly audits municipal expenditures of federally-transferred funds, it estimates the e®ects of the disclosure of local government corruption practices upon the re-election success of incumbent mayors. Comparing municipalities audited before and after the elections, we show that the audit policy reduced the incumbent's likelihood of re-election by approximately 20 percent, and was more pronounced in municipalities with radio sta- tions. These ¯ndings highlight the value of information and the role of the media in reducing informational asymmetries in the political process.
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O objetivo deste estudo é fazer uma análise da relação entre o erro de previsão dos analistas de mercado quanto à rentabilidade das empresas listadas na BM&FBOVESPA S.A. (Bovespa) e os requerimentos de divulgação do International Financial Reporting Standards (IFRS). Isto foi feito através da regressão do erro de previsão dos analistas, utilizando a metodologia de dados em painel no ano de implantação do IFRS no Brasil, 2010, e, complementarmente em 2012, para referenciamento desses dados. Partindo desse pressuposto, foi determinado o erro de previsão das empresas listadas na Bovespa através de dados de rentabilidade (índice de lucro por ação/earnings per share) previstos e realizados, disponíveis nas bases de dados I/B/E/S Earnings Consensus Information, providos pela plataforma Thomson ONE Investment Banking e Economática Pro®, respectivamente. Os resultados obtidos indicam uma relação negativa entre o erro de previsão e o cumprimento dos requisitos de divulgação do IFRS, ou seja, quanto maior a qualidade nas informações divulgadas, menor o erro de previsão dos analistas. Portanto, esses resultados sustentam a perspectiva de que o grau de cumprimento das normas contábeis é tão ou mais importante do que as próprias normas. Adicionalmente, foi verificado que quando a empresa listada na BM&FBOVESPA é vinculada a Agência Reguladora, seu erro de previsão não é alterado. Por fim, esses resultados sugerem que é importante que haja o aprimoramento dos mecanismos de auditoria das firmas quanto ao cumprimento dos requerimentos normativos de divulgação, tais como: penalidades pela não observância da norma (enforcement), estruturas de governança corporativa e auditorias interna e externa.
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Nosso problema de pesquisa neste trabalho é a avaliação do funcionamento dos principais mecanismos de controle das organizações sociais de saúde, no caso específico do Município do Rio de Janeiro. As reiteradas denúncias de irregularidades e ilegalidades pelo Tribunal de Contas do Município do Rio de Janeiro e pelo Ministério Público do Estado do Rio de Janeiro levantaram dúvidas acerca da adequação dos processos de monitoramento, fiscalização e controle dessas entidades. Disto decorre nosso objetivo central de pesquisa, que é identificar as fragilidades do novo modelo de gestão por organizações sociais de saúde, no caso da cidade do Rio de Janeiro. Para isso, foram analisados: o arcabouço jurídico-normativo do modelo local, a partir de análise comparativa da legislação municipal que regulamenta seu funcionamento (Lei 5.026/09) e sua contraparte federal (Lei 9.637/98); indicadores de saúde que mensurassem o desempenho das OSS; todas as inspeções realizadas pelo TCM-RJ até o fim de 2015; e o conjunto de recomendações enviado pelo MP-ERJ para a Prefeitura após deflagração da Operação Ilha Fiscal, que acarretou a desqualificação da OS BIOTECH e a prisão de seus dirigentes, acusados de desviar mais de R$48 milhões em recursos públicos. Ao final, constatouse que as fragilidades da legislação municipal e dos decretos executivos que regulamentam a atuação das OSS no MRJ não permitem o exercício efetivo do comando da parceria, em afronta, portanto, ao dispositivo constitucional que determina que a atuação de entidades privadas no âmbito do SUS pode se dar apenas de modo complementar. Ademais, verificou-se total inadequação da estrutura de controle pela Prefeitura, cuja principal consequência foi tornar o modelo de reforma gerencialista em um modelo que incentiva o comportamento patrimonialista no âmbito da saúde pública, uma vez que o controle de meios é absolutamente negligenciado.
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Analysis of the role of the Union Accounts Court on the control of regulatory agencies, with the objective of identifying the limits of the Institution s acting on the aim activities of the agencies, particularly the control limits of the Court on the merits of discretionary administrative actions, taking into account the autonomy of these entities in the model of regulatory state. Analyzes the principle of administrative legality, the control of public administration, state s action in the economy and facing regulatory agencies, their emergence, evolution and characteristics. Includes the study of jurisprudence and doctrinal differences, as for the limits of the powers conferred by the constitutional legislator to Federal Court of Audit, regarding the control of agencies aim activities, or, in other terms, their regulatory and inspector missions of market, under the principle of administrative legality. Performs analysis, based on case studies involving Court s audits on regulatory agencies. Are appreciated differences within the Institution about the their decisions effects - imposed or not - as regards the arrangements to be adopted by regulatory agencies to correct the flaws and omissions found during Court s inspections, in which content of the act of public agent, despite their technical nature, can happen the criterion of convenience and opportunity
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This research has aimed at studying the perception of University Hospital Onofre Lopes (HUOL) s workers on the environmental management plan of RSSS. They have been interviewed 250 workers: doctors, nurses, nursing assistants, and cleaners. It was used an exploratory and descriptive research of the type Survey, which aims at obtaining of data or information on characteristics, actions or opinions of any group of people. The questions of the questionnaire were of the kind objective", formulated in a model "scale", analyzed in according to the positioning of the interviewee. The wastes of health service have high potential for environmental impact in the activities from HUOL. Actions or environmental protective policy can improve the image of HUOL. They have been detected divergences on the rigor in application of law of ANVISA. The HUOL s workers unaware of the law of ANVISA and they have little or no knowledge about the practices of environmental control, public health and, they do not know the Environmental Management System ISO 14001. They have divergent views on the degree of importance of ISO 14001. There is not a Waste Management Plan for Health Service and / or is not disclosed for most of HUOL workers. It has not carried out audits or defined the goals and objectives. Besides, it has not been identified legal requirements, and there has not been communication about the service is performed or has been made a critical analysis and no control of documents the environmental management plan. The HUOL have not had a committee of environmental management. The direction of HUOL has not been organized courses, training and recycling of waste on environmental control of the health service. On a scale from 01 to 05, the level of aware level concerning to the waste management from health services of the workers, so is at the threshold between 01 and 02. For the reversal of this situation, the first and urgent step is the creation and institutionalization the environmental management committee of the University Hospital Onofre Lopes
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Speech signals degraded by additive noise can affects different applications in telecommunication. The noise may degrades the intelligibility of the speech signals and its waveforms as well. In some applications such as speech coding, both intelligibility and waveform quality are important but only intelligibility has been focused lastly. So, modern speech quality measurement techniques such as PESQ (Perceptual Evaluation of Speech Quality) have been used and classical distortion measurement techniques such as Cepstral Distance are becoming unused. In this paper it is shown that some classical distortion measures are still important in applications where speech corrupted by additive noise has to be evaluated.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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This work presents the application of a multiobjective evolutionary algorithm (MOEA) for optimal power flow (OPF) solution. The OPF is modeled as a constrained nonlinear optimization problem, non-convex of large-scale, with continuous and discrete variables. The violated inequality constraints are treated as objective function of the problem. This strategy allows attending the physical and operational restrictions without compromise the quality of the found solutions. The developed MOEA is based on the theory of Pareto and employs a diversity-preserving mechanism to overcome the premature convergence of algorithm and local optimal solutions. Fuzzy set theory is employed to extract the best compromises of the Pareto set. Results for the IEEE-30, RTS-96 and IEEE-354 test systems are presents to validate the efficiency of proposed model and solution technique.
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North's clustering method, which is based on a much used ecological model, the nearest neighbor distance, was applied to the objective reconstruction of the chain of household-to-household transmission of variola minor (the mild form of smallpox). The discrete within-household outbreaks were considered as points which were ordered in a time sequence using a 10-40 day interval between introduction of the disease into a source household and a receptor household. The closer points in the plane were assumed to have a larger probability of being links of a chain of household-to-household spread of the disease. The five defining distances (Manhattan or city-block distance between presumptive source and receptor dwellings) were 100, 200, 300, 400 and 500 m. The subchain sets obtained with the five defining distances were compared with the subchains empirically reconstructed during the field study of the epidemic through direct investigation of personal contacts of the introductory cases with either introductory or subsequent cases from previously affected households. The criteria of fit of theoretical to empirical clusters were: (a) the number of clustered dwellings and subchains, (b) number of dwellings in a subchain and (c) position of dwellings in a subchain. The defining distance closet to the empirical findings was 200 m, which fully agrees with the travelling habits of the study population. Less close but acceptable approximations were obtained with 100, 300, 400 and 500 m. The latter two distances gave identical results, as if a clustering ceiling had been reached. It seems that North's clustering model may be used for an objective reconstruction of the chain of contagious whose links are discrete within-household outbreaks. © 1984.
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Distribution networks paradigm is changing currently requiring improved methodologies and tools for network analysis and planning. A relevant issue is analyzing the impact of the Distributed Generation penetration in passive networks considering different operation scenarios. Studying DG optimal siting and sizing the planner can identify the network behavior in presence of DG. Many approaches for the optimal DG allocation problem successfully used multi-objective optimization techniques. So this paper contributes to the fundamental stage of multi-objective optimization of finding the Pareto optimal solutions set. It is proposed the application of a Multi-objective Tabu Search and it was verified a better performance comparing to the NSGA-II method. © 2009 IEEE.
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Due to the renewed interest in distributed generation (DG), the number of DG units incorporated in distribution systems has been rapidly increasing in the past few years. This situation requires new analysis tools for understanding system performance, and taking advantage of the potential benefits of DG. This paper presents an evolutionary multi-objective programming approach to determine the optimal operation of DG in distribution systems. The objectives are the minimization of the system power losses and operation cost of the DG units. The proposed approach also considers the inherent stochasticity of DG technologies powered by renewable resources. Some tests were carried out on the IEEE 34 bus distribution test system showing the robustness and applicability of the proposed methodology. © 2011 IEEE.
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This paper proposes a methodology to consider the effects of the integration of DG on planning. Since DG has potential to defer investments in networks, the impact of DG on grid capacity is evaluated. A multi-objective optimization tool based on the meta-heuristic MEPSO is used, supporting an alternative approach to exploiting the Pareto front features. Tests were performed in distinct conditions with two well-known distribution networks: IEEE-34 and IEEE-123. The results combined minimization and maximization in order to produce different Pareto fronts and determine the extent of the impact caused by DG. The analysis provides useful information, such as the identification of futures that should be considered in planning. A future means a set of realizations of all uncertainties. MEPSO also presented a satisfactory performance in obtaining the Pareto fronts. © 2011 IEEE.
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The post-processing of association rules is a difficult task, since a large number of patterns can be obtained. Many approaches have been developed to overcome this problem, as objective measures and clustering, which are respectively used to: (i) highlight the potentially interesting knowledge in domain; (ii) structure the domain, organizing the rules in groups that contain, somehow, similar knowledge. However, objective measures don't reduce nor organize the collection of rules, making the understanding of the domain difficult. On the other hand, clustering doesn't reduce the exploration space nor direct the user to find interesting knowledge, making the search for relevant knowledge not so easy. This work proposes the PAR-COM (Post-processing Association Rules with Clustering and Objective Measures) methodology that, combining clustering and objective measures, reduces the association rule exploration space directing the user to what is potentially interesting. Thereby, PAR-COM minimizes the user's effort during the post-processing process.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Research has shown that applying the T-2 control chart by using a variable parameters (VP) scheme yields rapid detection of out-of-control states. In this paper, the problem of economic statistical design of the VP T-2 control chart is considered as a double-objective minimization problem with the statistical objective being the adjusted average time to signal and the economic objective being expected cost per hour. We then find the Pareto-optimal designs in which the two objectives are met simultaneously by using a multi-objective genetic algorithm. Through an illustrative example, we show that relatively large benefits can be achieved by applying the VP scheme when compared with usual schemes, and in addition, the multi-objective approach provides the user with designs that are flexible and adaptive.