Earthquakes in western Iberia: improving the understanding of lithospheric deformation in a slowly deforming region

Mainland Portugal, on the southwestern edge of the European continent, is located directly north of the boundary between the Eurasian and Nubian plates. It lies in a region of slow lithospheric deformation (< 5 mm yr(-1)), which has generated some of the largest earthquakes in Europe, both intraplate (mainland) and interplate (offshore). Some offshore earthquakes are nucleated on old and cold lithospheric mantle, at depths down to 60 km. The seismicity of mainland Portugal and its adjacent offshore has been repeatedly classified as diffuse. In this paper, we analyse the instrumental earthquake catalogue for western Iberia, which covers the period between 1961 and 2013. Between 2010 and 2012, the catalogue was enriched with data from dense broad-band deployments. We show that although the plate boundary south of Portugal is diffuse, in that deformation is accommodated along several distributed faults rather than along one long linear plate boundary, the seismicity itself is not diffuse. Rather, when located using high-quality data, earthquakes collapse into well-defined clusters and lineations. We identify and characterize the most outstanding clusters and lineations of epicentres and correlate them with geophysical and tectonic features (historical seismicity, topography, geologically mapped faults, Moho depth, free-air gravity, magnetic anomalies and geotectonic units). Both onshore and offshore, clusters and lineations of earthquakes are aligned preferentially NNE-SSW and WNW-ESE. Cumulative seismic moment and epicentre density decrease from south to north, with increasing distance from the plate boundary. Only few earthquake lineations coincide with geologically mapped faults. Clusters and lineations that do not match geologically mapped faults may correspond to previously unmapped faults (e.g. blind faults), rheological boundaries or distributed fracturing inside blocks that are more brittle and therefore break more easily than neighbour blocks. The seismicity map of western Iberia presented in this article opens important questions concerning the regional seismotectonics. This work shows that the study of low-magnitude earthquakes using dense seismic deployments is a powerful tool to study lithospheric deformation in slowly deforming regions, such as western Iberia, where high-magnitude earthquakes occur with long recurrence intervals.

An Approach To Publish a Data Warehouse Content as Linked Data

Mestrado em Engenharia Informática - Área de Especialização em Tecnologias do Conhecimento e Decisão

Pré-processamento e Tag automático de imagens em ambiente móvel e web, aplicado a um sistema de informação geográfica

No panorama socioeconómico atual, a contenção de despesas e o corte no financiamento de serviços secundários consumidores de recursos conduzem à reformulação de processos e métodos das instituições públicas, que procuram manter a qualidade de vida dos seus cidadãos através de programas que se mostrem mais eficientes e económicos. O crescimento sustentado das tecnologias móveis, em conjunção com o aparecimento de novos paradigmas de interação pessoa-máquina com recurso a sensores e sistemas conscientes do contexto, criaram oportunidades de negócio na área do desenvolvimento de aplicações com vertente cívica para indivíduos e empresas, sensibilizando-os para a disponibilização de serviços orientados ao cidadão. Estas oportunidades de negócio incitaram a equipa do projeto a desenvolver uma plataforma de notificação de problemas urbanos baseada no seu sistema de informação geográfico para entidades municipais. O objetivo principal desta investigação foca a idealização, conceção e implementação de uma solução completa de notificação de problemas urbanos de caráter não urgente, distinta da concorrência pela facilidade com que os cidadãos são capazes de reportar situações que condicionam o seu dia-a-dia. Para alcançar esta distinção da restante oferta, foram realizados diversos estudos para determinar características inovadoras a implementar, assim como todas as funcionalidades base expectáveis neste tipo de sistemas. Esses estudos determinaram a implementação de técnicas de demarcação manual das zonas problemáticas e reconhecimento automático do tipo de problema reportado nas imagens, ambas desenvolvidas no âmbito deste projeto. Para a correta implementação dos módulos de demarcação e reconhecimento de imagem, foram feitos levantamentos do estado da arte destas áreas, fundamentando a escolha de métodos e tecnologias a integrar no projeto. Neste contexto, serão apresentadas em detalhe as várias fases que constituíram o processo de desenvolvimento da plataforma, desde a fase de estudo e comparação de ferramentas, metodologias, e técnicas para cada um dos conceitos abordados, passando pela proposta de um modelo de resolução, até à descrição pormenorizada dos algoritmos implementados. Por último, é realizada uma avaliação de desempenho ao par algoritmo/classificador desenvolvido, através da definição de métricas que estimam o sucesso ou insucesso do classificador de objetos. A avaliação é feita com base num conjunto de imagens de teste, recolhidas manualmente em plataformas públicas de notificação de problemas, confrontando os resultados obtidos pelo algoritmo com os resultados esperados.

Digital storytelling: an integrated approach to language for the 21st century student

Societal changes have, throughout history, pushed the long-established boundaries of education across all grade levels. Technology and media merge with education in a continuous complex social process with human consequences and effects. We, teachers, can aspire to understand and interpret this volatile context that is being redesigned at the same time society itself is being reshaped as a result of the technological evolution. The language- learning classroom is not impenetrable to these transformations. Rather, it can perhaps be seen as a playground where teachers and students gather to combine the past and the present in an integrated approach. We draw on the results from a previous study and argue that Digital Storytelling as a Process is capable of aggregating and fostering positive student development in general, as well as enhancing interpersonal relationships and self-knowledge while improving digital literacy. Additionally, we establish a link between the four basic language-learning skills and the Digital Storytelling process and demonstrate how these converge into what can be labeled as an integrated language learning approach.

Every normal logic program has a 2-valued semantics: theory, extensions, applications, implementations

Trabalho apresentado no âmbito do Doutoramento em Informática, como requisito parcial para obtenção do grau de Doutor em Informática

Systems biotechnology of baculovirus-producing insect cells

Dissertation presented to obtain the Ph.D degree in Ciências da Engenharia e Tecnologia, especialidade Biotecnologia

Epidemiologia e Saúde Públi

RESUMO - Visa-se explicitar a origem, a razão de ser, a natureza e o que se perspectiva da relação entre a Epidemiologia e a Saúde Pública, através de uma leitura histórica. As duas entidades foram-se definindo e fazendo sentido em conjunto, com sucessos e, também, muita polémica, desde há milénios e até meados do século XIX. Nesta época, uma combinação de circunstâncias proporcionou-lhes uma explosão de crescimento e de definição, de par com várias outras áreas disciplinares. Desde o antigo relato bíblico de como boa alimentação explica o bom estado de saúde, até à valorização científica das condicionantes sociais e económicas da saúde por Marmot e Rose, passando por «miasmas» causando doença e pela deslocação do conceito de risco individual de saúde para o de risco populacional — com as implicações inerentes a essa importante inovação —, este percurso permite identificar as fundações de tão notável simbiose, explicar o estado presente, vê-la evoluir e achar nela o significado do património hoje disponível, e o que ele promete. Algumas discrepâncias quanto à designação dos seus métodos, bem como a contínua discussão quanto à sua verdadeira natureza e orientação futura, atestam a juventude da Epidemiologia como disciplina científica. Entretanto, a Saúde Pública esforça-se por manter a sua essência integradora, à medida que outras disciplinas contribuem mais para que concretize os seus objectivos; é desafiada pela exposição das populações, em larga escala, a factores de doença, por vezes de intensidade mínima, e pelo surgimento de novas doenças ou a ampliação do volume de outras na população, muitas vezes não respeitando fronteiras. A história dessa simbiose mostra bem que conhecer o modo como uma doença se origina permite controlá-la na população, ou mesmo evitá-la, e que é grande o número de problemas que, em sinergia, as duas disciplinas podem clarificar e resolver. Assim, a Epidemiologia oferece à Saúde Pública explicações (olhos, inteligência e linguagem) para os problemas de saúde das populações — o que permite à segunda saber sobre o quê agir —, cenários de possível evolução dos problemas — o que permite aos decisores optarem em função de diferentes pressupostos, sobre como agir — e capacidade de juízo sobre os resultados das acções empreendidas, em simultâneo com a elevação do nível de consciência, de compreensão e de intervenção quanto ao que se está a passar, tanto pelos profissionais, como pela população — transferência do conhecimento. Facilmente se antecipa que a relação entre as duas disciplinas irá evoluir para maior complexidade e, também, solicitação e exigência da Saúde Pública sobre a Epidemiologia, que terá que corresponder em utilidade. E esta, continuando a subespecializar-se e a sofisticar-se tanto nos métodos, como nos enfoques sobre categorias específicas de factores, precisará de progredir muito na gestão da sua consistência enquanto corpo de conhecimento integrado e com peculiaridades metodológicas, à semelhança da Saúde Pública.O modo como evoluirá a relação entre ambas depende ainda da evolução dos próprios problemas, conceitos, teorias e soluções relacionados com a saúde das populações, e ainda do desenvolvimento das demais disciplinas chamadas à integração por ambas, para enfrentarem esses desafios. Nomeadamente, a Epidemiologia terá que gerir com perícia dificuldades já identificadas, como: incorporar métodos qualitativos de investigação na sua fortíssima tradição e cultura quantitativa; operacionalizar satisfatoriamente o conceito de «risco atribuível na população», ao serviço da definição de prioridades de acção dirigida às necessidades de saúde; aperfeiçoar modelos de interpretação causal que respeitem a multicausalidade; aproveitar as técnicas estatísticas de análise multivariada, sem se perder na abstracção dos seus modelos; desenvolver a investigação nas dimensões positivas de saúde, além da doença, para contribuir melhor para a realização da Saúde Pública, sua principal cliente e fornecedora de oportunidades.--------------------------ABSTRACT - The aim of the author is to explicit the origin, the rationale, the nature and the prospects of the relationship between Epidemiology and Public health, through an historic approach. The two entities have been defining and making sense together, by achieving successes, but also with much controversy, since millennia ago, until mid XIX century. A combination of circumstances provided them the opportunity for an explosion of growth and definition, then, alongside several other disciplines. From the ancient biblical report on how good food explains good health, up to the scientific appreciation of both social and economical constraints to health by Marmot and Rose, passing through «miasma» causing disease and through displacing from individual health risk to population risk — with the inherent implications of that important innovation —, this route allows the identification of the foundations of such remarkable symbiosis, the explanation of current status, to see its evolution and find in it the meaning of today’s heritage and what it promises. Some discrepancies on the name of its methods, as well as the continuing discussion about its true nature and future orientation, attest Epidemiology’s youth as a scientific discipline. Meanwhile, Public Health strives to keep its integrating essence, while other disciplines increasingly contribute so that it achieves its objectives; it is challenged by large scale population exposure to disease factors, sometimes with a minimum intensity, and by new diseases emerging in the population or by old ones getting amplified, often not respecting regions boundaries. The history of such a symbiosis shows that knowing the way a disease is generated allows to control it in the population, or even to avoid it, and that the number of problems that the two disciplines are able to clarify and solve together in synergy is considerable. Therefore, Epidemiology offers Public Health explanations (eyes, intelligence and language) for populations’s health problems — allowing that the latter knows on what to act —, scenarios on how problems may tend to evolve — allowing decision-makers to make their choices as a function of different assumptions, on how to act — and judgement capabilities on the results of already undertaken actions, accompanied by the raising of conscience level, understanding and intervention of what is going on by both professionals and the population – knowledge transfer. It is easy to anticipate that the relationship between both disciplines will develop towards increasing complexity and demand from Public Health to Epidemiology, and that this one will have to correspond in usefulness. And the latter, while continuing its subspecialisation and sophistication either in its methods, or in its approaches to specific factor categories, will need to progress in managing its consistency as an integrated body of knowledge having methodological peculiarities, similarly to Public Health. Further, the way the relationship between both will evolve depends on the evolution of the problems themselves, of the concepts, theories and solutions related to the health of populations, and on the development of remaining disciplines called to integration by both, in other to face those problems. Namely, Epidemiology will have to manage with expertise some already known difficulties, as: the inclusion of qualitative research methods in its very strong quantitative tradition and culture; to grant satisfactory operation to the «population attributable risk» concept, in support to the definition of action priorities envisaging health needs; to improve causal interpretation models that comply with multicausality; to take advantage of multivariate statistical techniques, without get

Multi-Objective and Financial Portfolio Optimization of Carrier-Sense Multiple Access Protocols with Cooperative Diversity

8th International Workshop on Multiple Access Communications (MACOM2015), Helsinki, Finland.

Power Law Behavior and Self-similarity in Modern Industrial Accidents

Advances in technology have produced more and more intricate industrial systems, such as nuclear power plants, chemical centers and petroleum platforms. Such complex plants exhibit multiple interactions among smaller units and human operators, rising potentially disastrous failure, which can propagate across subsystem boundaries. This paper analyzes industrial accident data-series in the perspective of statistical physics and dynamical systems. Global data is collected from the Emergency Events Database (EM-DAT) during the time period from year 1903 up to 2012. The statistical distributions of the number of fatalities caused by industrial accidents reveal Power Law (PL) behavior. We analyze the evolution of the PL parameters over time and observe a remarkable increment in the PL exponent during the last years. PL behavior allows prediction by extrapolation over a wide range of scales. In a complementary line of thought, we compare the data using appropriate indices and use different visualization techniques to correlate and to extract relationships among industrial accident events. This study contributes to better understand the complexity of modern industrial accidents and their ruling principles.

Entropy Analysis of Industrial Accident Data Series

Complex industrial plants exhibit multiple interactions among smaller parts and with human operators. Failure in one part can propagate across subsystem boundaries causing a serious disaster. This paper analyzes the industrial accident data series in the perspective of dynamical systems. First, we process real world data and show that the statistics of the number of fatalities reveal features that are well described by power law (PL) distributions. For early years, the data reveal double PL behavior, while, for more recent time periods, a single PL fits better into the experimental data. Second, we analyze the entropy of the data series statistics over time. Third, we use the Kullback–Leibler divergence to compare the empirical data and multidimensional scaling (MDS) techniques for data analysis and visualization. Entropy-based analysis is adopted to assess complexity, having the advantage of yielding a single parameter to express relationships between the data. The classical and the generalized (fractional) entropy and Kullback–Leibler divergence are used. The generalized measures allow a clear identification of patterns embedded in the data.

Feature Extraction in Densely Sensed Environments: Extensions to Multiple Broadcast Domains

The vision of the Internet of Things (IoT) includes large and dense deployment of interconnected smart sensing and monitoring devices. This vast deployment necessitates collection and processing of large volume of measurement data. However, collecting all the measured data from individual devices on such a scale may be impractical and time consuming. Moreover, processing these measurements requires complex algorithms to extract useful information. Thus, it becomes imperative to devise distributed information processing mechanisms that identify application-specific features in a timely manner and with a low overhead. In this article, we present a feature extraction mechanism for dense networks that takes advantage of dominance-based medium access control (MAC) protocols to (i) efficiently obtain global extrema of the sensed quantities, (ii) extract local extrema, and (iii) detect the boundaries of events, by using simple transforms that nodes employ on their local data. We extend our results for a large dense network with multiple broadcast domains (MBD). We discuss and compare two approaches for addressing the challenges with MBD and we show through extensive evaluations that our proposed distributed MBD approach is fast and efficient at retrieving the most valuable measurements, independent of the number sensor nodes in the network.

Crowdsourcing innovation: a strategy to leverage enterprise innovation

Innovation is recognized by academics and practitioners as an essential competitive enabler for any company to survive, to remain competitive and to grow. Investments in tasks of R&D have not always brought the expected results. But that doesn't mean that the outcomes would not be useful to other companies of the same business area or even from another area. Thus, there is much knowledge already available in the market that can be helpful to some and profitable to others. So, the ideas and expertise can be found outside a company's boundaries and also exported from within. Information, knowledge, experience, wisdom is already available in the millions of the human beings of this planet, the challenge is to use them through a network to produce new ideas and tips that can be useful to a company with less costs. This was the reason for the emergence of the area of crowdsourcing innovation. Crowdsourcing innovation is a way of using the Web 2.0 tools to generate new ideas through the heterogeneous knowledge available in the global network of individuals highly qualified and with easy access to information and technology. So, a crowdsourcing innovation broker is an organization that mediates the communication and relationship between the seekers - companies that aspire to solve some problem or to take advantage of any business opportunity - with a crowd that is prone to give ideas based on their knowledge, experience and wisdom. This paper makes a literature review on models of open innovation, crowdsourcing innovation, and technology and knowledge intermediaries, and discusses this new phenomenon as a way to leverage the innovation capacity of enterprises. Finally, the paper outlines a research design agendafor explaining crowdsourcing innovation brokering phenomenon, exploiting its players, main functions, value creation process, and knowledge creation in order to define a knowledge metamodel of such intermediaries.

Crowdsourcing innovation: a proposal for a brokering architecture focused in the innovation needs of SMEs

Crowdsourcing is evolving into powerful outsourcing options for organizations by providing access to the intellectual capital within a vast knowledge community. Innovation brokering services have emerged to facilitate crowdsourcing projects by connecting up companies with potential solution providers within the wider ‘crowd’. Most existing innovation brokering services are primarily aimed at larger organizations, however, Small and Medium Enterprises (SMEs) offer considerable potential for crowdsourcing activity since they are typically the innovation and employment engines in society; they are typically more nimble and responsive to the business environment than the larger companies. SMEs have very different challenges and needs to larger organizations since they have fewer resources, a more limited knowledge and skill base, and immature management practices. Consequently, innovation brokering for SMEs require considerably more support than for larger organizations. This paper identifies the crowdsourcing innovation brokerage facilities needed by SMEs, and presents an architecture that encourages knowledge sharing, development of community, support in mixing and matching capabilities, and management of stakeholders’ risks. Innovation brokering is emerging as a novel business model that is challenging concepts of the traditional value chain and organizational boundaries.

Municipalities of higher vulnerability to Sylvatic Yellow Fever occurrence in the São Paulo State, Brazil

Until 1999 the endemic cases of Sylvatic Yellow Fever were located in the states of northern, midwestern and pre-Amazon regions. Since then, the disease progressively expanded its territory of occurrence, cases being registered beyond the traditional boundaries of endemism. The São Paulo State is considered to be part of this context, since after decades without registration of autochthonous cases of the disease, it reported, in 2000 and 2008-2009, epizootic occurrence in non-human primates and 30 cases in humans. Facts like these, added to the increase in incidences of serious adverse effects resulting from the Yellow Fever vaccination, have highlighted the importance of defining priority municipalities for vaccination against the disease in the state. Two groups of municipalities, some affected and some non-affected by YF, were compared for environmental variables related to the eco-epidemiology of the disease according to literature. The Multiple Correspondence Analysis (MCA) was used to pinpoint the factor able to differentiate the two groups of municipalities and define the levels of risk. The southeast region of the São Paulo State was considered to be the area with a higher number of municipalities classified as high risk and should be considered a priority for the application of prevention measures against Yellow Fever.

Marketing educacional: perceções e promoção da imagem de uma escola privada

A presente investigação incide sobre as perceções que alunos, pais, professores e público em geral têm sobre uma escola privada quanto à sua imagem e qualidade do serviço prestado. Traçando fronteiras, marcando distâncias ou assinalando caminhos comuns, pretende-se articular conceitos e ferramentas intrínsecas à área do marketing com a esfera do âmbito educacional. A pesquisa centrou-se num estudo de caso, tendo-se optado por uma análise dentro do paradigma qualitativo-interpretativo.