994 resultados para ALCÁNTARA BRUNO, PEDRO


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Book review of Pedro Ramos Brandão, A Igreja Católica e o “Estado Novo” em Moçambique, 1960/1974, Lisbonne, Editorial Notícias, 2004, 259p. ISBN: 972-46-1567-7, préface de José Capela, note scientifique de António Costa Pinto

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La variedad lingüística, cultural y social del Ecuador se manifiesta también en en existencia de una, increíble diversidad de fiestas y rituales que constituyen un rasgo omnipresente en el espacio rural e indígena de los Andes. Estas fiestas y rituales, por lo general, han sido muy superficialmente considerados: algunas veces corno simples manifestaciones de un supuesto "folklore nacional"; otras, como costumbres pintorescas que vale Ia pena tener en cuenta junto a la belleza del paisaje. Tampoco estuvo ausente la idea de que constituyen tradiciones que han logrado pervivir desactualizada y anocrónicamente ante los cambios sociales, culturales y económicos que homogeneizan cada vez más la población del Ecuador.

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Este trabalho tem por objecto de estudo a obra de Pedro José da Fonseca, precipuamente a obra lexicográfica - Pawum Lexicon (1762), Diccionario Portuguez, e Latino (1771), Diccionario abbreviado da fabula (1779) e o Diccionario da Lingoa Portugueza (1 793). Necessidade premente num contexto de remodelação de todo o panorama do ensino em Portugal e de modificação das estruturas e hábitos da sociedade portuguesa, a composição destas obras iria corresponder ao consumo escolar e às solicitações da prática pedagógica almejada pela reforma pombalina. No plano geral da descrição crítica destes dicionários, atribui-se especial relevância, no cotejamento com as fontes, ao aperfeiçoamento da técnica lexicográfica. Propõe-se: o esboço da biografia do autor e um breve enquadramento históricocultural da 2" metade do século XVIII; o estudo da obra literária de Pedro da Fonseca, examinando o seu pensamento linguístico; análise da técnica de composição dicionan'stica a nível macro e microestrutural e, por fim, uma reflexão em torno do "corpus" lexical português nos dicionários de Fonseca.

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Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems – www.predicts.org.uk). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.

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Soccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport's world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game. © 2014 Springer International Publishing.

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Soccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport’s world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game.

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Relatório de estágio de mestrado, Ciências da Educação (Avaliação em Educação), Universidade de Lisboa, Instituto de Educação, 2011

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Tese de doutoramento, História (História Moderna), Universidade de Lisboa, Faculdade de Letras, 2014

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A organização e o acesso ao sistema de saúde de cada país configuram comportamentos, geram expectativas e influenciam as atitudes dos cidadãos relativamente às políticas de saúde e aos serviços que prestam cuidados médicos, assim como a própria concepção, individual e colectiva, de saúde e doença. Por outro lado, esses comportamentos e atitudes não se definem apenas pelas características específicas e desempenhos de um dado sistema de saúde, mas também por determinantes sociais, políticas, económicas e culturais numa perspectiva alargada.

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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 Orientada por Prof. Doutor José Freitas Santos

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Power system organization has gone through huge changes in the recent years. Significant increase in distributed generation (DG) and operation in the scope of liberalized markets are two relevant driving forces for these changes. More recently, the smart grid (SG) concept gained increased importance, and is being seen as a paradigm able to support power system requirements for the future. This paper proposes a computational architecture to support day-ahead Virtual Power Player (VPP) bid formation in the smart grid context. This architecture includes a forecasting module, a resource optimization and Locational Marginal Price (LMP) computation module, and a bid formation module. Due to the involved problems characteristics, the implementation of this architecture requires the use of Artificial Intelligence (AI) techniques. Artificial Neural Networks (ANN) are used for resource and load forecasting and Evolutionary Particle Swarm Optimization (EPSO) is used for energy resource scheduling. The paper presents a case study that considers a 33 bus distribution network that includes 67 distributed generators, 32 loads and 9 storage units.

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This paper present a methodology to choose the distribution networks reconfiguration that presents the lower power losses. The proposed methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modeling for system component outage parameters. The proposed hybrid method using fuzzy sets and Monte Carlo simulation based on the fuzzyprobabilistic models allows catching both randomness and fuzziness of component outage parameters. A logic programming algorithm is applied, once obtained the system states by Monte Carlo Simulation, to get all possible reconfigurations for each system state. To evaluate the line flows and bus voltages and to identify if there is any overloading, and/or voltage violation an AC load flow has been applied to select the feasible reconfiguration with lower power losses. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 115 buses distribution network.

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Power systems operation in a liberalized environment requires that market players have access to adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper deals with ancillary services negotiation in electricity markets. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of ancillary services using two different methods (Linear Programming and Genetic Algorithm approaches) is included in the paper.

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Adequate decision support tools are required by electricity market players operating in a liberalized environment, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services (AS) represent a good negotiation opportunity that must be considered by market players. Based on the ancillary services forecasting, market participants can use strategic bidding for day-ahead ancillary services markets. For this reason, ancillary services market simulation is being included in MASCEM, a multi-agent based electricity market simulator that can be used by market players to test and enhance their bidding strategies. The paper presents the methodology used to undertake ancillary services forecasting, based on an Artificial Neural Network (ANN) approach. ANNs are used to day-ahead prediction of non-spinning reserve (NS), regulation-up (RU), and regulation down (RD). Spinning reserve (SR) is mentioned as past work for comparative analysis. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.