An Intelligent Distributed System for Environmental Management

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.

Modelling of the kinetics of municipal solid waste composting in full-scale mechanical-biological treatment plants

A thesis submitted in fulfilment of the requirements for the Degree of Doctor of Philosophy in Sanitary Engineering in the Faculty of Sciences and Technology of the New University of Lisbon

ZoomAzores project: implementation of a WebGIS for Nature and Adventure Tourism.

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Tendências no Twitter

Atualmente as redes sociais fazem parte do dia a dia das pessoas, sendo que para muitas delas essas plataformas tornaram-se imprescindíveis. Quer seja por mera curiosidade ou por uma necessidade imperiosa de partilhar com o mundo as suas ideias ou pensamentos, a verdade é que as pessoas utilizam cada vez mais as redes sociais. O trabalho descrito neste documento pretende explorar uma dessas redes sociais, o Twitter, mais propriamente através do estudo das suas tendências do momento ou trending topics que são expressões referidas pelos utilizadores a uma taxa superior em comparação com outras. São descritas algumas das características do Twitter e dos recursos disponíveis para programadores. Para além do estudo detalhado do Twitter, são extraídos dados de diversas fontes, destacando-se o próprio Twitter, mas também outras plataformas e jornais online. Posteriormente é feita a análise desses dados através da verificação da evolução das tendências ao longo do tempo nos diversos locais em estudo e ainda através do cruzamento de dados das várias fontes de dados, com análise dos resultados obtidos. Na análise efetuada são analisadas as tendências considerando algumas métricas, a sua globalidade, a relação das tendências com tópicos dos jornais online e ainda a sua periodicidade.

Partilha de Pontos de Interesse, Vídeos e Experiências Sensoriais Baseada no Contexto do Utilizador

A evolução tecnológica das últimas décadas na área das Tecnologias da Informação e Comunicação (TIC) contribuiu para a proliferação de fontes de informação e de sistemas de partilha de recursos. As diversas redes sociais são um exemplo paradigmático de sistemas de partilha tanto de informação como de recursos (e.g. audiovisuais). Essa abundância crescente de recursos e fontes aumenta a importância de sistemas capazes de recomendar em tempo útil recursos personalizados, tendo por base o perfil e o contexto do utilizador. O objetivo deste projeto é partilhar e recomendar locais, artigos e vídeos em função do contexto do utilizador assim como proporcionar uma experiência mais rica de reprodução dos vídeos partilhados, simulando as condições de gravação dos vídeos. Este sistema teve como inspiração dois projetos anteriormente desenvolvidos de partilha e recomendação de locais, artigos e vídeos turísticos em função da localização do utilizador. O sistema desenvolvido consiste numa aplicação distribuída composta por um módulo cliente Android, que inclui a interface com o utilizador e o consumo direto de serviços externos de suporte, e um módulo servidor que controla o acesso à base de dados central e inclui o serviço de recomendação baseado no contexto do utilizador. A comunicação entre os módulos cliente e servidor utiliza um protocolo do nível de aplicação dedicado. As recomendações geradas pelo sistema têm por base o perfil de utilizador, informação contextual (posição do utilizador, data e hora atual e velocidade atual do utilizador) e podem ser geradas a pedido do utilizador ou automaticamente, caso sejam encontrados pontos de interesse de grande relevância para o utilizador. Os pontos de interesse recomendados são apresentados com recurso ao Google Maps, incluindo o período de funcionamento, artigos complementares e a reprodução imersiva dos vídeos relacionados. Essa imersão tem em consideração as condições meteorológicas, temporais e espaciais aquando da gravação do vídeo.

Infecções Urinárias e Gravidez - Diagnóstico, Terapêutica e Prevenção

Objectives: Literature review of classification, epidemiology, pathophysiology, microbiology, clinical presentation, diagnosis, complications, treatment and prevention of urinary tract infections (UTI) in pregnancy. Data Sources and Review Methods: Bibliographic research in Medline, through PubMed and Medscape, of systematic reviews, observational studies, clinical guidelines, meta-analyses and randomized controlled trials published between January 1992 and December 2010. Results: Asymptomatic bacteriuria occurs in 2 to 10% of pregnant women, 30% of which will develop acute pyelonephritis if left untreated. Treatment of asymptomatic bacteriuria has been shown to reduce the risk of pyelonephritis in pregnancy. Therefore, screening and treatment of this form of UTI has become a standard of obstetrical care, although the ideal duration of the treatment is still controverse. Acute pyelonephritis is one of the most common medical complications of pregnancy and may be associated with maternal, obstetric and perinatal complications. There is no clear consensus in the literature regarding antibiotic choice or duration of therapy for symptomatic UTI. Increasing antibiotic resistance complicates the choice of empirical regimens and local resistance rates need to be taken into account when deciding the therapy. Considering the high rate of recurrence of UTI during pregnancy, prophylactic measures need to be taken in pregnant women who have already experienced UTI during their current pregnancy. Conclusions: Although UTI is a generally benign condition in non-pregnant women, it may be a potentially serious complication during pregnancy. Early diagnosis and treatment of UTI during pregnancy are mandatory and can prevent severe maternal and perinatal complications.

Um estudo sobre geometria no 1.º ciclo: simetria em figuras planas

Este estudo insere-se no âmbito da Geometria e pretende compreender a influência dos recursos didáticos utilizados no reconhecimento de propriedades e relações geométricas em figuras planas. De acordo com o objetivo do estudo formulamos duas questões orientadoras que se articulam entre si. - Que fragilidades apresentam os alunos, no reconhecimento de propriedades geométricas em figuras planas? - Que contributos resultam da utilização de materiais manipuláveis, na visualização espacial e investigação de propriedades geométricas? Com este estudo pretendemos reunir informação que contribua para aprofundar o conhecimento sobre o raciocínio geométrico dos alunos. Em termos metodológicos segue um método de investigação misto, com recolha de informação qualitativa de natureza interpretativa e quantitativa, na modalidade de estudo de caso. A recolha de dados foi realizada numa turma de 4.º ano do ensino básico onde foi desenvolvida a experiência didática. A informação recolhida resultou da observação direta e as fontes dos dados foram as produções dos alunos, as notas de campo, registos fotográficos, vídeo e áudio. A docente assumiu o papel de investigadora e orientadora das tarefas propostas aos alunos tendo estes desempenhado um papel ativo na construção do seu próprio conhecimento. Os resultados obtidos permitem evidenciar as fragilidades dos alunos no reconhecimento de propriedades geométricas de figuras planas em diferentes posições. Destacam ainda os contributos da utilização da Mira e do Tangram, no estudo da simetria e no desenvolvimento da visualização espacial para a concretização de aprendizagens concretas, motivadoras e significativas.

Recommendation of Tourism Resources Supported by Crowdsourcing

Context-aware recommendation of personalised tourism resources is possible because of personal mobile devices and powerful data filtering algorithms. The devices contribute with computing capabilities, on board sensors, ubiquitous Internet access and continuous user monitoring, whereas the filtering algorithms provide the ability to match the profile (interests and the context) of the tourist against a large knowledge bases of tourism resources. While, in terms of technology, personal mobile devices can gather user-related information, including the user context and access multiple data sources, the creation and maintenance of an updated knowledge base of tourism-related resources requires a collaborative approach due to the heterogeneity, volume and dynamic nature of the resources. The current PhD thesis aims to contribute to the solution of this problem by adopting a Crowdsourcing approach for the collaborative maintenance of the knowledge base of resources, Trust and Reputation for the validation of uploaded resources as well as publishers, Big Data for user profiling and context-aware filtering algorithms for the personalised recommendation of tourism resources.

The Effect of Statins on Mortality in Septic Patients: a Meta-Analysis of Randomized Controlled Trials

OBJECTIVE: Statins are among the most prescribed drugs worldwide and their recently discovered anti-inflammatory effect seems to have an important role in inhibiting proinflammatory cytokine production, chemokines expression and counteracting the harmful effects of sepsis on the coagulation system. We decided to perform a meta-analysis of all randomized controlled trials ever published on statin therapy in septic patients to evaluate their effect on survival and length of hospital stay. DATA SOURCES AND STUDY SELECTION: Articles were assessed by four trained investigators, with divergences resolved by consensus. BioMedCentral, PubMed, Embase and the Cochrane Central Register of clinical trials were searched for pertinent studies. Inclusion criteria were random allocation to treatment and comparison of statins versus any comparator in septic patients. DATA EXTRACTION AND SYNTHESIS: Data from 650 patients in 5 randomized controlled studies were analyzed. No difference in mortality between patients receiving statins versus control (44/322 [14%] in the statins group vs 50/328 [15%] in the control arm, RR = 0.90 [95% CI 0.65 to 1.26], p = 0.6) was observed. No differences in hospital stay (p = 0.7) were found. CONCLUSIONS: Published data show that statin therapy has no effect on mortality in the overall population of adult septic patients. Scientific evidence on statins role in septic patients is still limited and larger randomized trials should be performed on this topic.

Do social factors matter for innovation, and do they influence innovation in Aeronautics Industry?

Based on the report for the course on “Social Factors of Innovation” of the PhD Program on Technology Assessment, supervised by Prof. António Brandão Moniz, Monte de Caparica, University NOVA Lisbon, Faculty of Sciences and Technology, July 2013

Spatial distribution of leprosy in areas of risk in Vitoria, State of Espirito Santo, Brazil, 2005 to 2009

Introduction Leprosy remains a relevant public health issue in Brazil. The objective of this study was to analyze the spatial distribution of new cases of leprosy and to detect areas with higher risks of disease in the City of Vitória. Methods The study was ecologically based on the spatial distribution of leprosy in the City of Vitória, State of Espírito Santo between 2005 and 2009. The data sources used came from the available records of the State Health Secretary of Espírito Santo. A global and local empirical Bayesian method was used in the spatial analysis to produce a leprosy risk estimation, and the fluctuation effect was smoothed from the detection coefficients. Results The study used thematic maps to illustrate that leprosy is distributed heterogeneously between the neighborhoods and that it is possible to identify areas with high risk of disease. The Pearson correlation coefficient of 0.926 (p = 0.001) for the Local Method indicated highly correlated coefficients. The Moran index was calculated to evaluate correlations between the incidences of adjoining districts. Conclusions We identified the spatial contexts in which there were the highest incidence rates of leprosy in Vitória during the studied period. The results contribute to the knowledge of the spatial distribution of leprosy in the City of Vitória, which can help establish more cost-effective control strategies because they indicate specific regions and priority planning activities that can interfere with the transmission chain.

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Vyndaqel (Tafamidis)

The main objective of this pedagogical case study is to analyse the market entry dynamics of pharmaceutical innovative drugs in Portugal, and the role and impact of the different stakeholders in this process. The case focuses on the market entry of Vyndaqel (Tafamidis) Pfizer’s orphan innovative product to treat TTR-FAP, “paramiloidose”, a highly incapacitating rare disease that has more than 2.000 diagnosed patients in Portugal, one of the highest prevalence worldwide and an incidence of 100 new patients every year. In terms of methodology it were used two main sources of information. Regarding secondary data sources it was made an exhaustive search using the main specialty search engines regarding the Tafamidis case, market access, orphan drugs and market entry context in Portugal and Europe. In terms of primary data it were conducted 7 direct interviews with the main case stakeholders. The pedagogical case study focuses on 5 main questions that provide the base of the discussion for the classes. First it is analysed the rationale behind the introduction of Tafamidis in Portugal, and its relevance for Pfizer, namely due to the previous investment made with the acquisition of FoldRX by $400M, the company that developed the product in the first place. It is also analysed the point of view of the NHS, and the reasoning behind drug reimbursement that considered not only the technical (efficacy and safety) and financial benefits of the drug, but also the social impact, due to the major role played by patient associations’ actions and coverage provided by the media that impacted the reimbursement decision. Finally it is analysed the vertical financing methodology that was selected by the Ministry of Health for drug acquisition by 2 public hospitals, that served as reference centres for the treatment of this disease

A construção de um currículo de project-based learning: o currículo ideal e o currículo formal

O objetivo deste trabalho é apresentar os resultados da análise das concepções de dois protagonistas de uma reforma curricular que está sendo implementada numa escola de engenharia. A principal característica do novo currículo é o uso de projetos e oficinas como atividades complementares a serem realizadas pelos estudantes. As atividades complementares acontecerão em paralelo ao trabalho realizado nas disciplinas sem que haja uma relação de interdisciplinaridade. O novo currículo está sendo implantado desde fevereiro de 2015. Segundo Pacheco (2005) há dois momentos, dentre outros, no processo de mudança curricular, o currículo “ideal”, determinado por dimensões epistemológica, política, econômica, ideológica, técnica, estética, e histórica e, que recebe influência direta daquele que idealiza e cria o novo currículo e, o currículo “formal” que se traduz na prática implementada na escola. São essas duas etapas estudadas nesta pesquisa. Para isso serão considerados como fontes de dados dois protagonistas, um mais ligado à concepção do currículo e outro da sua implementação, a partir dos quais se busca compreender as motivações, crenças e percepções que, por sua vez, determinam a reforma curricular. Entrevistas semiestruturadas foram utilizadas como técnica de pesquisa, com o propósito de se entender a gênese da proposta e as mudanças entre essas duas etapas. Os dados revelam que mudanças aconteceram desde a idealização até a formalização do currículo, motivadas por demandas do processo de implementação, revela ainda diferenças na visão de currículo e a motivação para romper com padrões na formação de engenheiros no Brasil.

Task clustering on ETL systems – A pattern-oriented approach

Usually, data warehousing populating processes are data-oriented workflows composed by dozens of granular tasks that are responsible for the integration of data coming from different data sources. Specific subset of these tasks can be grouped on a collection together with their relationships in order to form higher- level constructs. Increasing task granularity allows for the generalization of processes, simplifying their views and providing methods to carry out expertise to new applications. Well-proven practices can be used to describe general solutions that use basic skeletons configured and instantiated according to a set of specific integration requirements. Patterns can be applied to ETL processes aiming to simplify not only a possible conceptual representation but also to reduce the gap that often exists between two design perspectives. In this paper, we demonstrate the feasibility and effectiveness of an ETL pattern-based approach using task clustering, analyzing a real world ETL scenario through the definitions of two commonly used clusters of tasks: a data lookup cluster and a data conciliation and integration cluster.