Marca institucional: a gestão da marca no contexto de uma IPSS

Relatório de Estágio apresentado ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Assessoria de Administração Orientadora: Doutora Isabel Ardions

NCRF Nº 1 - estrutura e conteúdos das demosntrações financeiras e implicações fiscais e em auditoria

Dissertação apresentada ao Instituto obtenção do grau de Mestre em Auditoria orientador: Dr. Rodrigo Mário de Oliveira Carvalho

O processo de reabilitação auditiva no idoso e o princípio da autonomia

A adaptação protésica, como meio técnico de reabilitação auditiva é amplamente utilizada nas situações em que a perda de audição se torna, pelos mais diversos motivos, penalizadora. Mas a adaptação de próteses auditivas só faz sentido quando integrada num processo de reabilitação que contemple também o aconselhamento e o acompanhamento do utilizador de amplificação auditiva. O objectivo de qualquer programa de reabilitação é, como a própria expressão indica, habilitar ou voltar a habilitar o indivíduo que dele usufrui, ultrapassando uma determinada incapacidade, seja ela congénita ou adquirida. A reabilitação auditiva congrega múltiplas dimensões, das quais a autonomia (manutenção e/ou o incremento) é uma das principais. No caso do indivíduo idoso a perda auditiva, para além de penalizante socialmente, é também um factor de desmotivação e de angústia perante a fase da vida que está a atravessar. Para um estudo transversal da reabilitação auditiva versus princípio da autonomia, foram seleccionados dezasseis processos clínicos de indivíduos idosos utilizadores de próteses auditivas. Desses processos que constituem a amostra teórica deste estudo, foram analisados os seus conteúdos à luz de uma metodologia qualitativa, a grounded theory, com a garantia de confidencialidade total. Após a análise dos dados recolhidos, verificou-se que as respostas às questões que orientaram este trabalho iam surgindo baseadas na construção teórica, entretanto elaborada. Em resumo, uma das conclusões que se tira desta investigação, é que existe de facto um fio condutor interactivo entre processo de reabilitação auditiva e autonomia, mesmo quando a sua leitura é fruto de opiniões recolhidas através de uma amostra de processos clínicos, respeitantes a uma população com características particulares, como é o caso da população idosa.

Sobrevoando a ilha mátria de Natália Correia: um panorãmica

A presente comunicação pretende destacar uma Mulher de Letras Açoriana que se evidenciou nas atividades políticas nacionais, tendo sido deputada à Assembleia da República eleita em 1980. Natália Correia nasceu em São Miguel, no ano de 1923, e é autora do poema do Hino dos Açores. Além da sua vertente de mulher e cidadã empenhada a nível político, Natália Correia distinguiu-se no plano literário, tendo sido poeta, dramaturga, romancista e ensaísta. Enquanto organizadora de antologias poéticas, publicou sete, segundo a História Universal da Literatura Portuguesa, sendo a sua primeira datada de 1966. A Antologia de Poesia Portuguesa Erótica e Satírica foi apreendida e julgada em Tribunal Plenário como “ofensiva do pudor geral, da decência e da moralidade pública e dos bons costumes”, mas à qual foi, no entanto, “reconhecido o mérito literário”, segundo os autos do processo terminado em 1970. A Antologia foi reeditada postumamente pela editora Antígona. Natália Correia foi de novo processada por responsabilidade editorial das Novas Cartas Portuguesas de Maria Isabel Barreno, Maria Velho da Costa e Maria Teresa Horta. Foi também autora dos programas televisivos Este Lugar Onde e Mátria na RTP, vindo a desenvolver mais tarde o conceito de “Frátria”. De caráter eminentemente descritivo, este artigo pretende destacar a biobibliografia de uma mulher açoriana notável no campo das letras, segundo uma panorâmica factual, desejando-se destacar a autora como feminista e como livre pensadora.

Learning business strategies for competitive electronic marketplaces

This paper presents a Multi-Agent Market simulator designed for developing new agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. This tool studies negotiations based on different market mechanisms and, time and behavior dependent strategies. The results of the negotiations between agents are analyzed by data mining algorithms in order to extract rules that give agents feedback to improve their strategies. The system also includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agent reactions.

VPPs information needs for effective operation in competitive electricity markets

The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs may turn electricity generation by renewable sources valuable in electricity markets. Information availability and adequate decision-support tools are crucial for achieving VPPs’ goals. This involves information concerning associated producers and market operation. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, focusing mainly in the information requirements for adequate decision making.

Virtual power producers integration into MASCEM

All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. Under this context distributed generators, owned by different decentralized players can provide a significant amount of the electricity generation. To get negotiation power and advantages of scale economy, these players can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multi-technology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the integration of Virtual Power Producers into an electricity market simulator –MASCEM – as a coalition of distributed producers.

MASCEM improvement for agent based coalitions

This paper presents MASCEM - Multi-Agent Simulator for Electricity Markets improvement towards an enlarged model for Seller Agents coalitions. The simulator has been improved, both regarding its user interface and internal structure. The OOA, used as development platform, version was updated and the multi-agent model was adjusted for implementing and testing several negotiations regarding Seller agents’ coalitions. Seller coalitions are a very important subject regarding the increased relevance of Distributed Generation under liberalised electricity markets.

Importance of technologies characteristics for VPPs

The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. One of the most important tasks of a VPP is the conjugation of technologies to obtain a consistent set of associated producers and allow them to operate in the electric market. This paper presents some characteristics regarding already existent technologies and relevant aspects for producers and for VPP.

Peer Instruction method in introductory math courses

Learning is not a spectator’s sport. Students do not learn much by just sitting in class listening their teachers, memorizing pre-packaged assignments and spitting out answers. The teaching-learning process has been a constant target of studies, particularly in Higher Education, in consequence of the annual increase of new students. The concern with maintaining a desired quality level in the training of these students, conjugated with the will to widen the access to all of those who finish Secondary School Education, has triggered a greater intervention from the education specialists, in partnership with the teachers of all Higher Education areas, in the analysis of this problem. Considering the particular case of Engineering, it has been witnessed a rising concern with the active learning strategies and forms of assessment. Research has demonstrated that students learn more if they are actively engaged with the material they are studying. In this presentation we describe, present and discuss the techniques and the results of Peer Instruction method in an introductory Calculus courses of an Engineering Bach

Intelligent decision making in electricity markets: simulated annealing Q-Learning

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM is integrated with ALBidS, a system that provides several dynamic strategies for agents’ behavior. This paper presents a method that aims at enhancing ALBidS competence in endowing market players with adequate strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible actions. These actions are defined accordingly to the most probable points of bidding success. With the purpose of accelerating the convergence process, a simulated annealing based algorithm is included.

Balancing market integration in MASCEM electricity market simulator

With the restructuring of the energy sector in industrialized countries there is an increased complexity in market players’ interactions along with emerging problems and new issues to be addressed. Decision support tools that facilitate the study and understanding of these markets are extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent simulator for competitive electricity markets. It is essential to reinforce MASCEM with the ability to recreate electricity markets reality in the fullest possible extent, making it able to simulate as many types of markets models and players as possible. This paper presents the development of the Balancing Market in MASCEM. A key module to the study of competitive electricity markets, as it has well defined and distinct characteristics previously implemented.

A multi-agent based approach for intelligent smart grid management

The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players’ behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM – Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP – Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles’ batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.

Multi-agent simulation of continental, regional, and micro electricity markets

Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

Adaptive tool for automatic data collection of real electricity markets

The study of electricity markets operation has been gaining an increasing importance in last years, as result of the new challenges that the electricity markets restructuring produced. This restructuring increased the competitiveness of the market, but with it its complexity. The growing complexity and unpredictability of the market’s evolution consequently increases the decision making difficulty. Therefore, the intervenient entities are forced to rethink their behaviour and market strategies. Currently, lots of information concerning electricity markets is available. These data, concerning innumerous regards of electricity markets operation, is accessible free of charge, and it is essential for understanding and suitably modelling electricity markets. This paper proposes a tool which is able to handle, store and dynamically update data. The development of the proposed tool is expected to be of great importance to improve the comprehension of electricity markets and the interactions among the involved entities.