Feiras e exposições internacionais: um estudo exploratório dos fatores de decisão e motivação de participação numa feira internacional

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

Gestão estratégica: balanced scorecard para uma entidade hospitalar

Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Doutora Cláudia Maria Ferreira Pereira Lopes

Responsabilidade ambiental: análise das divulgações ambientais das empresas do PSI-20 comparativamente com empresas não cotadas

Orientador: Mestre, António Pinto Marques

Fatores influenciadores da gestão da qualidade e independência do auditor: um estudo de caso

Dissertação apresentada ao Instituto Superior de Contabilidade para obtenção do Grau de Mestre em Auditoria Orientada por: Doutora Alcina Dias

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.

Decision support system with incomplete and domain incoherent information management

Many of the most common human functions such as temporal and non-monotonic reasoning have not yet been fully mapped in developed systems, even though some theoretical breakthroughs have already been accomplished. This is mainly due to the inherent computational complexity of the theoretical approaches. In the particular area of fault diagnosis in power systems however, some systems which tried to solve the problem, have been deployed using methodologies such as production rule based expert systems, neural networks, recognition of chronicles, fuzzy expert systems, etc. SPARSE (from the Portuguese acronym, which means expert system for incident analysis and restoration support) was one of the developed systems and, in the sequence of its development, came the need to cope with incomplete and/or incorrect information as well as the traditional problems for power systems fault diagnosis based on SCADA (supervisory control and data acquisition) information retrieval, namely real-time operation, huge amounts of information, etc. This paper presents an architecture for a decision support system, which can solve the presented problems, using a symbiosis of the event calculus and the default reasoning rule based system paradigms, insuring soft real-time operation with incomplete, incorrect or domain incoherent information handling ability. A prototype implementation of this system is already at work in the control centre of the Portuguese Transmission Network.

A study on dynamic state information (DSI) around users for safe urban life

To select each node by devices and by contexts in urban computing, users have to put their plan information and their requests into a computing environment (ex. PDA, Smart Devices, Laptops, etc.) in advance and they will try to keep the optimized states between users and the computing environment. However, because of bad contexts, users may get the wrong decision, so, one of the users’ demands may be requesting the good server which has higher security. To take this issue, we define the structure of Dynamic State Information (DSI) which takes a process about security including the relevant factors in sending/receiving contexts, which select the best during user movement with server quality and security states from DSI. Finally, whenever some information changes, users and devices get the notices including security factors, then an automatic reaction can be possible; therefore all users can safely use all devices in urban computing.

Histogram-based DNA analysis for the visualization of chromosome, genome and species information

We describe a novel approach to explore DNA nucleotide sequence data, aiming to produce high-level categorical and structural information about the underlying chromosomes, genomes and species. The article starts by analyzing chromosomal data through histograms using fixed length DNA sequences. After creating the DNA-related histograms, a correlation between pairs of histograms is computed, producing a global correlation matrix. These data are then used as input to several data processing methods for information extraction and tabular/graphical output generation. A set of 18 species is processed and the extensive results reveal that the proposed method is able to generate significant and diversified outputs, in good accordance with current scientific knowledge in domains such as genomics and phylogenetics.

Toxicidade a cianobactérias: impacte potencial na saúde pública em populações de Portugal e Brasil

Como recurso natural fundamental à vida, a água e os ecossistemas aquáticos devem ser alvo de avaliação contínua, no que se reporta à sua qualidade física, química e biológica. Segundo a Organização Mundial de Saúde cerca de 1,1 biliões de pessoas estão impossibilitadas em aceder a qualquer tipo de água potável e, as populações residentes nas proximidades de rios, lagoas, e reservatórios utilizam estas águas para as suas necessidades de consumo, aumentando o risco de transmissão de doenças. Enquanto constituintes da comunidade fitoplanctónica, as cianobactérias são microrganismos procariotas, fotossintéticos, que obtêm os nutrientes diretamente da coluna de água e, um aumento da concentração de nutrientes (principalmente azoto e fósforo), associado a condições ambientais favoráveis, pode desencadear um crescimento rápido originando fluorescências. Sob determinadas condições as cianobactérias podem produzir toxinas existindo registos que evidenciam que fluorescências toxicas são responsáveis pelo envenenamento agudo e morte de animais e humanos pelo que, a água utilizada para consumo humano deverá ser regularmente monitorizada para este elemento biológico. O objetivo deste estudo é relacionar a ocorrência de fluorescências de cianobactérias (> 2000 cel/ml) e toxicidade associada, com o impacte potencial na Saúde Pública avaliado através do consumo direto ou indireto da água. Em Portugal foram selecionados oito reservatórios situados na região Sul, pertencentes às bacias hidrográficas do Sado e Guadiana e estudados entre 2000 e 2008. No Brasil foram selecionados os reservatórios de Três Marias (Estado de Minas Gerais) e de Tucuruí (Estado do Pará) e estudados em 2005 e 2006 respetivamente. Os reservatórios foram caracterizados em termos físicos e químicos, tendo-se igualmente procedido à caracterização da comunidade fitoplanctónica através da identificação e quantificação dos principais grupos presentes em diferentes épocas do ano. Em termos fitoplanctónicos os reservatórios portugueses apresentaram maior diversidade,verificando-se contudo dominância das cianobactérias na comunidade. Associados a fluorescências, foram registados nestes reservatórios géneros produtores de hepato e neurotoxinas como Aphanizomenon sp, Microcystis aeruginosa e Oscillatoria sp. No Brasil, em situação de fluorescências, os géneros produtores de neuro e hepatotoxinas foram Microcystis (> 350.000 cels/ml) e Cylindrospermopsis. A presença destes géneros, poderá constituir um risco potencial para a saúde pública, pelo que é importante a implementação de medidas de mitigação em todos os reservatórios objeto de estudo, devendo essa atuação passar pelo controle do estado trófico no sentido de evitar o desenvolvimento de fluorescências. Assim sugere-se a implementação de um tratamento adequado para a produção de água de consumo e a organização de ações de sensibilização e aviso e informação às populações que utilizam os reservatórios em Portugal e no Brasil para diversos usos. - ABSTRACT - As a life fundamental natural resource, water and aquatic ecosystems must be continuously evaluated in their physical, chemical and biological quality. According World Health Organization, 1.1 billion people has no chance to access any kind of potable water. Populations living near rivers, lagoons or reservoirs use those waters to content their needs, increasing risks disease transmission. As members of phytoplankton community, cyanobacteria are prokaryotic, photosynthetic microorganisms and get its nutrients directly from water column. The increase of this nutrients (especially nitrogen and phosphorus) associated with favorable environment conditions, can support a sudden grow and instigate blooms. Under specific conditions cyanobacteria can produce toxins and several records have shown that toxic blooms are responsible by acute poisoning and death in animals and humans so, water for human consumption must be regularly surveyed for this biologic element. The aim of this study is to correlate Cyanobacteria blooms (>2.000cels/ml) and connected toxicity with public health impact, evaluated through water consumption. In Portugal, eight reservoirs located in the South region were selected and study between 2000 and 2008. In Brazil, Três Marias reservoir (Minas Gerais Provence) and Tucuruí (Pará Provence) were selected and study in 2005 and 2006. Reservoirs were characterized in physical and chemical aspects, as well as phytoplankton community, through identification and counting of main present groups along study period. In bloom circumstances, liver toxins and neurotoxins producers like Aphanizomenon sp, Microcystis aeruginosa and Oscillatoria sp. were founded in Portuguese reservoirs. In Brazil, cyanobacteria genera involved in toxic bloom were Microcystis (> 350.000 cels/ml) and Cylindrospermopsis. This genera presence represents a potential risk for public health, and show the requirement to implement mitigation measures in all study reservoirs. These measures can be represented by water eutrophication control to avoid blooms, by appropriate treatments of water to human consumption, and public warnings or information to dose people in Portugal and Brazil that use these reservoirs to several activities.

Qualidade dos contextos educativos: multideficiência e inclusão

Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ciências da Educação- Especialidade Educação Especial

Information and communication technologies in education – a web-based intelligent tutoring system on teaching and learning electrical project

Electrical activity is extremely broad and distinct, requiring by one hand, a deep knowledge on rules, regulations, materials, equipments, technical solutions and technologies and assistance in several areas, as electrical equipment, telecommunications, security and efficiency and rational use of energy, on the other hand, also requires other skills, depending on the specific projects to be implemented, being this knowledge a characteristic that belongs to the professionals with relevant experience, in terms of complexity and specific projects that were made.

Analysis and visualization of chromosome information

This paper analyzes the DNA code of several species in the perspective of information content. For that purpose several concepts and mathematical tools are selected towards establishing a quantitative method without a priori distorting the alphabet represented by the sequence of DNA bases. The synergies of associating Gray code, histogram characterization and multidimensional scaling visualization lead to a collection of plots with a categorical representation of species and chromosomes.

Can power laws help us understand gene and proteome information?

Proteins are biochemical entities consisting of one or more blocks typically folded in a 3D pattern. Each block (a polypeptide) is a single linear sequence of amino acids that are biochemically bonded together. The amino acid sequence in a protein is defined by the sequence of a gene or several genes encoded in the DNA-based genetic code. This genetic code typically uses twenty amino acids, but in certain organisms the genetic code can also include two other amino acids. After linking the amino acids during protein synthesis, each amino acid becomes a residue in a protein, which is then chemically modified, ultimately changing and defining the protein function. In this study, the authors analyze the amino acid sequence using alignment-free methods, aiming to identify structural patterns in sets of proteins and in the proteome, without any other previous assumptions. The paper starts by analyzing amino acid sequence data by means of histograms using fixed length amino acid words (tuples). After creating the initial relative frequency histograms, they are transformed and processed in order to generate quantitative results for information extraction and graphical visualization. Selected samples from two reference datasets are used, and results reveal that the proposed method is able to generate relevant outputs in accordance with current scientific knowledge in domains like protein sequence/proteome analysis.

Self-organization for scheduling in agile manufacturing

Agility refers to the manufacturing system ability to rapidly adapt to market and environmental changes in efficient and cost-effective ways. This paper addresses the development of self-organization methods to enhance the operations of a scheduling system, by integrating scheduling system, configuration and optimization into a single autonomic process requiring minimal manual intervention to increase productivity and effectiveness while minimizing complexity for users. We intend to conceptualize real manufacturing systems as interacting autonomous entities in order to build future Decision Support Systems (DSS) for Scheduling in agile manufacturing environments.