871 resultados para adoption intrafamiliale


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EUROPEAN MASTER’S DEGREE IN HUMAN RIGHTS AND DEMOCRATISATION Academic Year 2007/2008

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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

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Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

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ISSN 1577-4430, com fator de impacto, calculado pelo IN-RECS (http://ec3.ugr.es/in-recj/ii/Derecho_Civil-2010.htm), Bases de dados de indexação: LATINDEX, DIALNET, ISOC, COMLUDOC e AGRIS]

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RESUMO - Os gastos com a saúde, em Portugal, como nos países da União Europeia e da OCDE, têm crescido a um ritmo superior ao do crescimento económico, assumindo uma importância crescente face ao PIB. Entre estes factores surge a velocidade da introdução da inovação e dos desenvolvimentos tecnológicos dos domínios do diagnóstico e da terapêutica. Uma das mais difíceis e importantes questões para as políticas de saúde é a relação entre a saúde e os gastos com a prestação de cuidados de saúde. Estudos recentes sugerem que os cuidados de saúde ocupam um papel importante na melhoria da saúde da população, e que os recentes avanços tecnológicos são custo-efectivos aceites na generalidade por cada ano de vida ganho. Este trabalho visa estudar a influência que o financiamento e o estatuto jurídico hospitalar têm na introdução e adopção de novas tecnologias em saúde. Para isso, além da revisão bibliográfica, foi realizada uma análise a uma base de dados, cujos elementos se cingem a pacientes com doenças cardiovasculares atendidos num dos hospitais do Serviço Nacional de Saúde, entre 2000 e 2006. --- ------------------------------------ABSTRACT - Health expenditures in Portugal, as in EU countries and in the OECD, have developed at a higher rate than economic growth, assuming an increasing importance to the GDP. Among these factors appears the speed of the introduction of innovation and technological development in diagnosis and therapy areas. One of the most difficult and most important questions for health policy is the relationship of health to health care spending. Studies now suggest that medical care has played an important role in improving the health of the population, and recent technical advances are cost-effective at generally accepted values of an added year of life. This work aims to study the influence that the prospective payment and the hospital’s legal status have in introduction and adoption of new technologies in health. For this, besides the literature review, an analysis was made to a database, whose elements are confined to patients with cardiovascular disease treated in the hospitals of t

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The environmental management domain is vast and encompasses many identifiable activities: impact assessment, planning, project evaluation, etc. In particular, this paper focusses on the modelling of the project evaluation activity. The environmental decision support system under development aims to provide assistance to project developers in the selection of adequate locations, guaranteeing the compliance with the applicable regulations and the existing development plans as well as satisfying the specified project requirements. The inherent multidisciplinarity features of this activity lead to the adoption of the Multi-Agent paradigm, and, in particular, to the modelling of the involved agencies as a community of cooperative autonomous agents, where each agency contributes with its share of problem solving to the final system’s recommendation. To achieve this behaviour the many conclusions of the individual agencies have to be justifiably accommodated: not only they may differ, but can be interdependent, complementary, irreconcilable, or simply, independent. We propose different solutions (involving both local and global consistency) to support the adequate merge of the distinct perspectives that inevitably arise during this type of decision making.

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Environmental management is a complex task. The amount and heterogeneity of the data needed for an environmental decision making tool is overwhelming without adequate database systems and innovative methodologies. As far as data management, data interaction and data processing is concerned we here propose the use of a Geographical Information System (GIS) whilst for the decision making we suggest a Multi-Agent System (MAS) architecture. With the adoption of a GIS we hope to provide a complementary coexistence between heterogeneous data sets, a correct data structure, a good storage capacity and a friendly user’s interface. By choosing a distributed architecture such as a Multi-Agent System, where each agent is a semi-autonomous Expert System with the necessary skills to cooperate with the others in order to solve a given task, we hope to ensure a dynamic problem decomposition and to achieve a better performance compared with standard monolithical architectures. Finally, and in view of the partial, imprecise, and ever changing character of information available for decision making, Belief Revision capabilities are added to the system. Our aim is to present and discuss an intelligent environmental management system capable of suggesting the more appropriate land-use actions based on the existing spatial and non-spatial constraints.

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Dissertação para a obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre Rui Filipe Pereira Bertuzi da Silva Coorientador: Mestre Paulino Manuel Leite da Silva Coorientador: Doutor António José Balloni – GESITI/CTI

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Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Auditoria, realizada sob a orientação científica do Mestre Carlos Mendes, Equiparado a Professor Adjunto do Instituto Superior de Contabilidade e Administração do Porto. Orientada por Mestre Carlos Mendes Porto, abril 2014

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Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para obtenção do Grau de Mestre em Empreendedorismo e Internacionalização Orientadora: Professora Doutora Maria Clara Ribeiro Coorientadora: Mestre Maria Luísa Verdelho Alves

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Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação de: Doutora Alcina Dias e coorientação de: Doutora Ana Paula Lopes

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Background: Cardiovascular diseases and other non-communicable diseases are major causes of morbidity and mortality, responsible for 38 million deaths in 2012, 75 % occurring in low- and middle-income countries. Most of these countries are facing a period of epidemiological transition, being confronted with an increased burden of non-communicable diseases, which challenge health systems mainly designed to deal with infectious diseases. With the adoption of the World Health Organization “Global Action Plan for the Prevention and Control of non-communicable diseases, 2013–2020”, the national dimension of risk factors for non-communicable diseases must be reported on a regular basis. Angola has no national surveillance system for non-communicable diseases, and periodic population-based studies can help to overcome this lack of information. CardioBengo will collect information on risk factors, awareness rates and prevalence of symptoms relevant to cardiovascular diseases, to assist decision makers in the implementation of prevention and treatment policies and programs. Methods: CardioBengo is designed as a research structure that comprises a cross-sectional component, providing baseline information and the assembling of a cohort to follow-up the dynamics of cardiovascular diseases risk factors in the catchment area of the Dande Health and Demographic Surveillance System of the Health Research Centre of Angola, in Bengo Province, Angola. The World Health Organization STEPwise approach to surveillance questionnaires and procedures will be used to collect information on a representative sex-age stratified sample, aged between 15 and 64 years old. Discussion: CardioBengo will recruit the first population cohort in Angola designed to evaluate cardiovascular diseases risk factors. Using the structures in place of the Dande Health and Demographic Surveillance System and a reliable methodology that generates comparable results with other regions and countries, this study will constitute a useful tool for the surveillance of cardiovascular diseases. Like all longitudinal studies, a strong concern exists regarding dropouts, but strategies like regular visits to selected participants and a strong community involvement are in place to minimize these occurrences.

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Projeto para obtenção do Grau de Mestre em Teatro. Especialização em Artes Performativas — Escritas de Cena.

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Trabalho de Projeto submetido à Escola Superior de Teatro e Cinema para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Teatro – especialização em Teatro e Comunidade.

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Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate business models and by inadequate demand response programs management. This paper contributes to developing methodologies and a computational infrastructure able to provide the involved players with adequate decision support on demand response programs and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented.