81 resultados para relational databases


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INTED2010, the 4th International Technology, Education and Development Conference was held in Valencia (Spain), on March 8, 9 and 10, 2010.

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Applications refactorings that imply the schema evolution are common activities in programming practices. Although modern object-oriented databases provide transparent schema evolution mechanisms, those refactorings continue to be time consuming tasks for programmers. In this paper we address this problem with a novel approach based on aspect-oriented programming and orthogonal persistence paradigms, as well as our meta-model. An overview of our framework is presented. This framework, a prototype based on that approach, provides applications with aspects of persistence and database evolution. It also provides a new pointcut/advice language that enables the modularization of the instance adaptation crosscutting concern of classes, which were subject to a schema evolution. We also present an application that relies on our framework. This application was developed without any concern regarding persistence and database evolution. However, its data is recovered in each execution, as well as objects, in previous schema versions, remain available, transparently, by means of our framework.

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Phenylketonuria is an inborn error of metabolism, involving, in most cases, a deficient activity of phenylalanine hydroxylase. Neonatal diagnosis and a prompt special diet (low phenylalanine and natural-protein restricted diets) are essential to the treatment. The lack of data concerning phenylalanine contents of processed foodstuffs is an additional limitation for an already very restrictive diet. Our goals were to quantify protein (Kjeldahl method) and amino acid (18) content (HPLC/fluorescence) in 16 dishes specifically conceived for phenylketonuric patients, and compare the most relevant results with those of several international food composition databases. As might be expected, all the meals contained low protein levels (0.67–3.15 g/100 g) with the highest ones occurring in boiled rice and potatoes. These foods also contained the highest amounts of phenylalanine (158.51 and 62.65 mg/100 g, respectively). In contrast to the other amino acids, it was possible to predict phenylalanine content based on protein alone. Slight deviations were observed when comparing results with the different food composition databases.

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The need to increase agricultural yield led, among others, to an increase in the consumption of nitrogen based fertilizers. As a consequence, there are excessive concentrations of nitrates, the most abundant of the reactive nitrogen (Nr) species, in several areas of the world. The demographic changes and projected population growth for the next decades, and the economic shifts which are already shaping the near future are powerful drivers for a further intensification in the use of fertilizers, with a predicted increase of the nitrogen loads in soils. Nitrate easily diffuses in the subsurface environments, portraying high mobility in soils. Moreover, the presence of high nitrate loads in water has the potential to cause an array of health dysfunctions, such as methemoglobinemia and several cancers. Permeable Reactive Barriers (PRB) placed strategically relatively to the nitrate source constitute an effective technology to tackle nitrate pollution. Ergo, PRB avoid various adverse impacts resulting from the displacement of reactive nitrogen downstream along water bodies. A four stages literature review was carried out in 34 databases. Initially, a set of pertinent key words were identified to perform the initial databases searches. Then, the synonyms of those initial key words were used to carry out a second set of databases searches. The third stage comprised the identification of other additional relevant terms from the research papers identified in the previous two stages. Again, databases searches were performed with this third set of key words. The final step consisted of the identification of relevant papers from the bibliography of the relevant papers identified in the previous three stages of the literature review process. The set of papers identified as relevant for in-depth analysis were assessed considering a set of relevant characterization variables.

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O desenvolvimento de recursos multilingues robustos para fazer face às exigências crescentes na complexidade dos processos intra e inter-organizacionais é um processo complexo que obriga a um aumento da qualidade nos modos de interacção e partilha dos recursos das organizações, através, por exemplo, de um maior envolvimento dos diferentes interlocutores em formas eficazes e inovadoras de colaboração. É um processo em que se identificam vários problemas e dificuldades, como sendo, no caso da criação de bases de dados lexicais multilingues, o desenvolvimento de uma arquitectura capaz de dar resposta a um conjunto vasto de questões linguísticas, como a polissemia, os padrões lexicais ou os equivalentes de tradução. Estas questões colocam-se na construção quer dos recursos terminológicos, quer de ontologias multilingues. No caso da construção de uma ontologia em diferentes línguas, processo no qual focalizaremos a nossa atenção, as questões e a complexidade aumentam, dado o tipo e propósitos do artefacto semântico, os elementos a localizar (conceitos e relações conceptuais) e o contexto em que o processo de localização ocorre. Pretendemos, assim, com este artigo, analisar o conceito e o processo de localização no contexto dos sistemas de gestão do conhecimento baseados em ontologias, tendo em atenção o papel central da terminologia no processo de localização, as diferentes abordagens e modelos propostos, bem como as ferramentas de base linguística que apoiam a implementação do processo. Procuraremos, finalmente, estabelecer alguns paralelismos entre o processo tradicional de localização e o processo de localização de ontologias, para melhor o situar e definir.

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Introdução: A Lesão Medular (LM) é um dos mais devastadores e traumáticos eventos que um Ser Humano pode vivenciar do ponto de vista clínico e emocional, demonstrando-se fundamental a disponibilização de recursos específicos para que o indivíduo possa enfrentar e gerir a sua nova realidade da melhor maneira possível. Alguns estudos têm vindo a demonstrar os benefícios de programas de reabilitação com estimulação elétrica funcional (EEF). Portanto, é de importante relevância perceber os reais efeitos da intervenção na recuperação de indivíduos com este diagnóstico. Objetivo: Analisar as evidências de abordagens de aplicação de correntes de estimulação elétrica funcional (EEF) para coadjuvar na reabilitação em adultos com lesão medular completa. Métodos: Foi conduzida uma pesquisa dos artigos preferencialmente estudos randomized controlled trials RCT´s e estudos quasi-experimentais com os mesmos participantes foram admitidos complementarmente aos experimentais compreendidos entre 2004 e 2013, bem como as citações e as referências bibliográficas de cada estudo nas principais bases de dados de ciências da saúde (Elsevier – Science Direct, Highwire Press, PEDro, PubMed, Scielo Portugal, Clinical Key, B-on, Biomed Central, LILACS- Literatura Latino-Americana e do Caribe em Ciências da Saúde) com as palavras-chave: “spinal cord injuries”, “rehabilitation, electric stimulation funtional”, “FES”, “therapy” em todas as combinações possíveis. Os estudos RCT’s foram analisados independentemente por dois revisores quanto aos critérios de inclusão e qualidade dos estudos. Resultados: Dos 857 estudos identificados apenas sete foram incluídos. Destes, dois apresentaram um score 3/10, um apresentou 4/10, um apresentou um score 5/10. O score total bem como o preenchimento ou não de cada critério encontram-se detalhados na tabela 1 e organizados por ordem alfabética de autores. Todos os estudos incluíram indivíduos com Lesão Medular Completa, idades entre 16 e 68 anos com diagnóstico de acordo com a American Spinal Injury Association (ASIA).Os programas de intervenção dividiram-se em programas de programas de força, densidade mineral óssea, cardiorrespiratório e de atividade física. Dos estudos incluídos, cinco apresentaram melhorias na reabilitação funcional para o grupo experimental, demonstrando assim uma influência positiva da estimulação elétrica funcional em lesões medulares completas. Apenas dois estudos não apresentaram diferenças estatisticamente significativas com relevância clínica. Conclusão: Há uma tendência notória do benefício dos programas com EEF em pacientes com lesões medulares completas parece melhorar a capacidade cardiorrespiratória, a densidade mineral óssea, a força e atividade física, dos indivíduos. Contudo, mais estudos com elevada qualidade metodológica serão essenciais para conceber o real efeito da sua aplicação. Palavras-chave: lesão medular completa; estimulação elétrica funcional, randomized controlled trials, revisão sistemática.

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The aim of this paper is the assessment of information literacy skills related to European topics, among a group of 234 users of 55 European Documentation Centres (EDCs), from 21 European Union Member- States. We will present the results of a survey European information. So we will analyse the answers given by the users of the EDCs relating to aspects like the best sources to access trustworthy and impartial Europe information. The factors determining access to information on the EU and the frequency of this access will equally be analysed. The reasons the users gave for the ease or difficulty in accessing European information are also included and pondered on. Parallel to this, we will evaluate the aspects most valued by the users of this kind of information. Our findings on the use of European information available on the Internet, especially the knowledge and making use of databases will be presented. Based on this analysis the paper will demonstrate the need to develop information literacy competencies to identify, use and access European information. Doing so, some potential components of information literacy skills adapted to European information will be introduced.

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This document presents a tool able to automatically gather data provided by real energy markets and to generate scenarios, capture and improve market players’ profiles and strategies by using knowledge discovery processes in databases supported by artificial intelligence techniques, data mining algorithms and machine learning methods. It provides the means for generating scenarios with different dimensions and characteristics, ensuring the representation of real and adapted markets, and their participating entities. The scenarios generator module enhances the MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) simulator, endowing a more effective tool for decision support. The achievements from the implementation of the proposed module enables researchers and electricity markets’ participating entities to analyze data, create real scenarios and make experiments with them. On the other hand, applying knowledge discovery techniques to real data also allows the improvement of MASCEM agents’ profiles and strategies resulting in a better representation of real market players’ behavior. This work aims to improve the comprehension of electricity markets and the interactions among the involved entities through adequate multi-agent simulation.

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The study of electricity markets operation has been gaining an increasing importance in the last years, as result of the new challenges that the restructuring process produced. Currently, lots of information concerning electricity markets is available, as market operators provide, after a period of confidentiality, data regarding market proposals and transactions. These data can be used as source of knowledge to define realistic scenarios, which are essential for understanding and forecast electricity markets behavior. The development of tools able to extract, transform, store and dynamically update data, is of great importance to go a step further into the comprehension of electricity markets and of the behaviour of the involved entities. In this paper an adaptable tool capable of downloading, parsing and storing data from market operators’ websites is presented, assuring constant updating and reliability of the stored data.

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The study of Electricity Markets operation has been gaining an increasing importance in the last years, as result of the new challenges that the restructuring produced. Currently, lots of information concerning Electricity Markets is available, as market operators provide, after a period of confidentiality, data regarding market proposals and transactions. These data can be used as source of knowledge, to define realistic scenarios, essential for understanding and forecast Electricity Markets behaviour. The development of tools able to extract, transform, store and dynamically update data, is of great importance to go a step further into the comprehension of Electricity Markets and the behaviour of the involved entities. In this paper we present an adaptable tool capable of downloading, parsing and storing data from market operators’ websites, assuring actualization and reliability of stored data.

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This paper presents the characterization of high voltage (HV) electric power consumers based on a data clustering approach. The typical load profiles (TLP) are obtained selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The choice of the best partition is supported using several cluster validity indices. The proposed data-mining (DM) based methodology, that includes all steps presented in the process of knowledge discovery in databases (KDD), presents an automatic data treatment application in order to preprocess the initial database in an automatic way, allowing time saving and better accuracy during this phase. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ consumption behavior. To validate our approach, a case study with a real database of 185 HV consumers was used.

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This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.

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Cyanobacteria are important primary producers, and many are able to fix atmospheric nitrogen playing a key role in the marine environment. However, not much is known about the diversity of cyanobacteria in Portuguese marine waters. This paper describes the diversity of 60 strains isolated from benthic habitats in 9 sites (intertidal zones) on the Portuguese South and West coasts. The strains were characterized by a morphological study (light and electron microscopy) and by a molecular characterization (partial 16S rRNA, nifH, nifK, mcyA, mcyE/ndaF, sxtI genes). The morphological analyses revealed 35 morphotypes (15 genera and 16 species) belonging to 4 cyanobacterial Orders/Subsections. The dominant groups among the isolates were the Oscillatoriales. There is a broad congruence between morphological and molecular assignments. The 16S rRNA gene sequences of 9 strains have less than 97% similarity compared to the sequences in the databases, revealing novel cyanobacterial diversity. Phylogenetic analysis, based on partial 16S rRNA gene sequences showed at least 12 clusters. One-third of the isolates are potential N2-fixers, as they exhibit heterocysts or the presence of nif genes was demonstrated by PCR. Additionally, no conventional freshwater toxins genes were detected by PCR screening.

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A clarificação dos sentidos da Educação Social – que aqui se afirma “transformadora e transformativa” quanto aos fins da ação e da investigação, educativa e participativa quanto aos processos adotados - antecede a reflexão sobre a dimensão relacional da ação do educador social. Uma relação afetiva e co-construída que perspetive a mudança pessoal e social de forma crítica e reflexiva, e onde o projeto de Educação Social se vai apoiar, exige do próprio educador social, enquanto pessoa, uma atitude igualmente reflexiva e capaz de integrar o pensamento crítico com a prática quotidiana.