A graphical specification of model transformations with triple graph grammars

Models and model transformations are the core concepts of OMG's MDA (TM) approach. Within this approach, most models are derived from the MOF and have a graph-based nature. In contrast, most of the current model transformations are specified textually. To enable a graphical specification of model transformation rules, this paper proposes to use triple graph grammars as declarative specification formalism. These triple graph grammars can be specified within the FUJABA tool and we argue that these rules can be more easily specified and they become more understandable and maintainable. To show the practicability of our approach, we present how to generate Tefkat rules from triple graph grammar rules, which helps to integrate triple graph grammars with a state of a art model transformation tool and shows the expressiveness of the concept.

PCMAT, an adaptive learning platform

This paper is about PCMAT, an adaptive learning platform for Mathematics in Basic Education schools. Based on a constructivist approach, PCMAT aims at verifying how techniques from adaptive hypermedia systems can improve e-learning based systems. To achieve this goal, PCMAT includes a Pedagogical Model that contains a set of adaptation rules that influence the student-platform interaction. PCMAT was subject to a preliminary testing with students aged between 12 and 14 years old on the subject of direct proportionality. The results from this preliminary test are quite promising as they seem to demonstrate the validity of our proposal.

ATD: a multiplatform for semiautomatic 3-D detection of kidneys and their pathology in real time

This research presents a novel multi-functional system for medical Imaging-enabled Assistive Diagnosis (IAD). Although the IAD demonstrator has focused on abdominal images and supports the clinical diagnosis of kidneys using CT/MRI imaging, it can be adapted to work on image delineation, annotation and 3D real-size volumetric modelling of other organ structures such as the brain, spine, etc. The IAD provides advanced real-time 3D visualisation and measurements with fully automated functionalities as developed in two stages. In the first stage, via the clinically driven user interface, specialist clinicians use CT/MRI imaging datasets to accurately delineate and annotate the kidneys and their possible abnormalities, thus creating “3D Golden Standard Models”. Based on these models, in the second stage, clinical support staff i.e. medical technicians interactively define model-based rules and parameters for the integrated “Automatic Recognition Framework” to achieve results which are closest to that of the clinicians. These specific rules and parameters are stored in “Templates” and can later be used by any clinician to automatically identify organ structures i.e. kidneys and their possible abnormalities. The system also supports the transmission of these “Templates” to another expert for a second opinion. A 3D model of the body, the organs and their possible pathology with real metrics is also integrated. The automatic functionality was tested on eleven MRI datasets (comprising of 286 images) and the 3D models were validated by comparing them with the metrics from the corresponding “3D Golden Standard Models”. The system provides metrics for the evaluation of the results, in terms of Accuracy, Precision, Sensitivity, Specificity and Dice Similarity Coefficient (DSC) so as to enable benchmarking of its performance. The first IAD prototype has produced promising results as its performance accuracy based on the most widely deployed evaluation metric, DSC, yields 97% for the recognition of kidneys and 96% for their abnormalities; whilst across all the above evaluation metrics its performance ranges between 96% and 100%. Further development of the IAD system is in progress to extend and evaluate its clinical diagnostic support capability through development and integration of additional algorithms to offer fully computer-aided identification of other organs and their abnormalities based on CT/MRI/Ultra-sound Imaging.

Interações econômicas entre capital humano e fecundidade

O primeiro artigo desta tese procura medir o impacto do programa Bolsa Familia sobre a gravidez juvenil, discutindo também a utilização de programas de transferência condicional de renda para a diminuição da fecundidade em áreas de pobreza. O segundo artigo realiza um exercício contrafactual para estimar o impacto de aumentos no investimento em educação sobre o consumo, considerando não só o aumento da produtividade, mas também o impacto da nova educação sobre a fecundidade das pessoas.

Quark-antiquark correlation in the pion

The electromagnetic tensor for inclusive electron scattering off the pion Wμν for momentum transfers such that q+ = 0, (q+ = q0 + q3) is shown to obey a sum-rule for the component W++. From this sum-rule, one can define the quark-antiquark correlation function in the pion, which characterizes the transverse distance distribution between the quark and antiquark in the light-front pion wave-function. Within the realistic models of the relativistic pion wave function (including instanton vacuum inspired wave function) it is shown that the value of the two-quark correlation radius (rqq̄) is near twice the pion electromagnetic radius (rπ), where rπ ≈ 2/3 fm. We also define the correlation length lcorr where the two-particle correlation have an extremum. The estimation of lcorr ≈ 0.3-0,5 fm is very close to estimations from instanton models of QCD vacuum. It is also shown that the above correlation is very sensitive to the pion light-front wave-function models. © 1997 Elsevier Science B.V.

Discurso político, mídia e ação parlamentar: a Amazônia no Congresso Nacional

Este trabalho de pesquisa, com enfoque interdisciplinar, transita nos campos político e midiático no intuito de mostrar o teor dos discursos nas proposições, ações e entrevistas dos membros da Comissão da Amazônia, Integração Nacional e de Desenvolvimento Regional (CAINDR), da Câmara dos Deputados do Brasil. Ao indicar se os eixos temáticos ‘Desenvolvimento’ e ‘Sustentabilidade’ estão inseridos ou não nas políticas públicas construídas no âmbito deste fórum, o principal objetivo desta tese é responder que tipo de desenvolvimento se defende nesta comissão e como a Amazônia é retratada por seus membros. Através de um minucioso levantamento de projetos, requerimentos, documentos discursos e ações dos parlamentares que compuseram a comissão durante a 52ª Legislatura (2003-2006), como também da produção midiática associada a determinadas ações e proposições apresentadas na CAINDR durante esse período, partiu-se para a Análise de Discurso. Mais do que uma ferramenta metodológica, a Análise de Discurso constitui-se uma abordagem teórico-metodológica essencialmente interdisciplinar que possibilita a compreensão das estratégias discursivas em um determinado campo social. Analisar os sentidos das falas, as marcas ou pistas deixadas na produção de sentidos, como também elucidar o lugar social desta produção (relações) e as vozes convocadas pelos discursos dos atores desse fórum permitem identificar o que estes priorizam para a região e como a retratam - resultado que fica ainda mais interessante ao se cruzar com o noticiário em questão, situando a relação entre os campos político e midiático. Nesse sentido, adotou-se a Teoria dos Campos Sociais como referencial teórico para esta pesquisa, não somente por buscar compreender as relações e representações do mundo social, mas também por ajudar a localizar, na disputa do poder simbólico, o eixo organizador dos interesses e estratégias dos atores do campo social em foco. O resultado deste trabalho foi compensador e permitiu confirmar a sua hipótese central: a de que o modelo de desenvolvimento defendido na CAINDR prioriza o avanço de fronteiras e de mercado em detrimento ao caráter ambiental – dando continuidade ao modelo espoliativo e concentrador que há muito vigora na Amazônia brasileira.

Autoajuda e o espírito de nossa época

O objetivo principal deste artigo é levantar algumasexplicações possíveis para o sucesso editorial do segmento daautoajuda a partir das últimas décadas do século passado. Paratanto, quatro eixos explicativos são desenvolvidos: 1) vivemos umperíodo de reflexividade que abre espaço para as receitas e osmodelos da autoajuda; 2) outras formas de racionalidade, numacontraposição à visão de Max Weber, abrem espaço para o saberprofessado pelos gurus da autoajuda; 3) a autoajuda tem umafunção terapêutica fundamental numa época que vive os dilemasda modernidade tardia; 4) o modelo de competência que imperano imaginário organizacional contemporâneo abre espaço paraos ensinamentos da autoajuda. Rastreando essas explicaçõesprocurar-se-á mostrar de que forma as especificidades do nossotempo constituem terreno fértil para a autoajuda.

BOLSA FAMÍLIA: IMPORTANTE DETERMINANTE PARA A EDUCAÇÃO E CRESCIMENTO SOCIOECONÔMICO DO BRASIL

Esta dissertação trata de um tema relativamente novo, com literatura escassa, praticamente sem estudos teóricos que o abordem. Referenciais são encontrados em publicações feitas em seminários e palestras bem como em artigos e notas jornalísticas. Esta dissertação se trata de trabalho exploratório, analítico descritivo com base documental. O Programa Bolsa Família, tema central deste trabalho, é uma ferramenta para distribuição de renda que funciona de forma simples e tem sido efetiva para o atendimento de famílias que vivem abaixo da linha de pobreza. Ele é resultado da fusão de vários outros programas dispersos e com efetividade questionável Bolsa Escola, Auxílio Gás e Cartão Alimentação. O Programa Bolsa Família beneficia famílias em situação de pobreza com renda mensal de R$ 70 a R$ 140 per capita e em extrema pobreza com renda mensal abaixo de R$ 70 reais per capita. Também estabelece condicionalidades de educação e saúde. Atualmente, há cerca de 13 milhões de famílias inscritas no Programa Bolsa Família que cumprem as condições do Cadastro Único esta é praticamente a totalidade das famílias pobres segundo critérios do PNAD 2006 (Pesquisa Nacional de Domicílios). Na realidade, houve substancial injeção de recursos em áreas outrora relegadas ao acaso, criando novos consumidores, bem como empreendedores, além de atrair investimentos. Quanto à educação, nota-se que há redução do analfabetismo. Há um crescimento vegetativo do Índice de Desenvolvimento Humano (IDH) no qual o Brasil situa-se em 84⁰ lugar dentre as 187 nações controladas pelo PNUD (Programa das Nações Unidas para o Desenvolvimento) em 2011. As variáveis que compõem o índice crescem timidamente, destaca-se queda no item expectativa de escolaridade esperada das crianças em idade de ingresso na escola (no Brasil, aos seis anos), que caiu no período 2000-2011, esse fato pode indicar falha estrutural no ensino brasileiro. Esse estudo indica que há desenvolvimento socioeconômico em áreas carentes, particularmente na Região Nordeste. Observa-se também a reversão da migração que historicamente era de norte/nordeste a sudeste. Também nota-se redução da taxa de fecundidade das brasileiras, o que é vantajoso. O Brasil também está com a vantagem do Bônus demográfico , quando a população economicamente ativa supera a população dependente, o que é um excelente fator de crescimento por atrair investimentos. Apesar de melhorias observadas na década 2000-2010, elas ainda são insuficientes. Quanto ao desenvolvimento humano , o Brasil está muito distante das nações desenvolvidas, com IDH de 0,718, que cresceu na última década à taxa de 0,769% ao ano. Nesse ritmo, até alcançarmos o IDH norueguês -- primeiro colocado, ou o australiano -- segundo colocado, que é de 0,943 serão necessários 35/36 anos. Isso nos leva a pensar que, a não ser que o acaso nos ajude, o sonho de nos juntarmos aos primeiros é questionável. Com respeito ao Programa Bolsa Família, esse prova ser uma frente social para a eliminação da desigualdade, seus beneficiários eram classificados como pobres e extremamente pobres e foram resgatados.

The impact of participation in activities while on vacation on senior's psychological well-being: A path model application

This article extends earlier research regarding the relationships between senior travelers’ participation in activities while on vacation, their overall satisfaction with their travel experiences, and their psychological well-being. A path model was developed to depict the direct and indirect relationships between these variables by using a sample of senior tourists traveling on North American escorted tour itineraries. Whereas the direct effect accounted for 98% of the relationships between the senior tourists’ levels of participation in activities and their psychological well-being, the indirect effect was negligible. The study concluded that senior tourists’activity levels were significantly related to their psychological well-being, but their satisfaction with the tours was not.

Fostering e-participation sustainability through a BPM-driven semantic model

According to a recent Eurobarometer survey (2014), 68% of Europeans tend not to trust national governments. As the increasing alienation of citizens from politics endangers democracy and welfare, governments, practitioners and researchers look for innovative means to engage citizens in policy matters. One of the measures intended to overcome the so-called democratic deficit is the promotion of civic participation. Digital media proliferation offers a set of novel characteristics related to interactivity, ubiquitous connectivity, social networking and inclusiveness that enable new forms of societal-wide collaboration with a potential impact on leveraging participative democracy. Following this trend, e-Participation is an emerging research area that consists in the use of Information and Communication Technologies to mediate and transform the relations among citizens and governments towards increasing citizens’ participation in public decision-making. However, despite the widespread efforts to implement e-Participation through research programs, new technologies and projects, exhaustive studies on the achieved outcomes reveal that it has not yet been successfully incorporated in institutional politics. Given the problems underlying e-Participation implementation, the present research suggested that, rather than project-oriented efforts, the cornerstone for successfully implementing e-Participation in public institutions as a sustainable added-value activity is a systematic organisational planning, embodying the principles of open-governance and open-engagement. It further suggested that BPM, as a management discipline, can act as a catalyst to enable the desired transformations towards value creation throughout the policy-making cycle, including political, organisational and, ultimately, citizen value. Following these findings, the primary objective of this research was to provide an instrumental model to foster e-Participation sustainability across Government and Public Administration towards a participatory, inclusive, collaborative and deliberative democracy. The developed artefact, consisting in an e-Participation Organisational Semantic Model (ePOSM) underpinned by a BPM-steered approach, introduces this vision. This approach to e-Participation was modelled through a semi-formal lightweight ontology stack structured in four sub-ontologies, namely e-Participation Strategy, Organisational Units, Functions and Roles. The ePOSM facilitates e-Participation sustainability by: (1) Promoting a common and cross-functional understanding of the concepts underlying e-Participation implementation and of their articulation that bridges the gap between technical and non-technical users; (2) Providing an organisational model which allows a centralised and consistent roll-out of strategy-driven e-Participation initiatives, supported by operational units dedicated to the execution of transformation projects and participatory processes; (3) Providing a standardised organisational structure, goals, functions and roles related to e-Participation processes that enhances process-level interoperability among government agencies; (4) Providing a representation usable in software development for business processes’ automation, which allows advanced querying using a reasoner or inference engine to retrieve concrete and specific information about the e-Participation processes in place. An evaluation of the achieved outcomes, as well a comparative analysis with existent models, suggested that this innovative approach tackling the organisational planning dimension can constitute a stepping stone to harness e-Participation value.

Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom

This paper investigates underlying changes in the UK economy over the past thirtyfive years using a small open economy DSGE model. Using Bayesian analysis, we find UK monetary policy, nominal price rigidity and exogenous shocks, are all subject to regime shifting. A model incorporating these changes is used to estimate the realised monetary policy and derive the optimal monetary policy for the UK. This allows us to assess the effectiveness of the realised policy in terms of stabilising economic fluctuations, and, in turn, provide an indication of whether there is room for monetary authorities to further improve their policies.

Subjective health assessments and active labor market participation of older men: evidence from a semiparametric binary choice model with nonadditive correlated individual-specific effects

We use panel data from the U. S. Health and Retirement Study, 1992-2002, to estimate the effect of self-assessed health limitations on the active labor market participation of older men. Self-assessments of health are likely to be endogenous to labor supply due to justification bias and individual-specific heterogeneity in subjective evaluations. We address both concerns. We propose a semiparametric binary choice procedure that incorporates nonadditive correlated individual-specific effects. Our estimation strategy identifies and estimates the average partial effects of health and functioning on labor market participation. The results indicate that poor health plays a major role in labor market exit decisions.

Design of a unified data with business rules storage model for OLTP and OLAP systems

This paper reviews the literature concerning the practice of using Online Analytical Processing (OLAP) systems to recall information stored by Online Transactional Processing (OLTP) systems. Such a review provides a basis for discussion on the need for the information that are recalled through OLAP systems to maintain the contexts of transactions with the data captured by the respective OLTP system. The paper observes an industry trend involving the use of OLTP systems to process information into data, which are then stored in databases without the business rules that were used to process information and data stored in OLTP databases without associated business rules. This includes the necessitation of a practice, whereby, sets of business rules are used to extract, cleanse, transform and load data from disparate OLTP systems into OLAP databases to support the requirements for complex reporting and analytics. These sets of business rules are usually not the same as business rules used to capture data in particular OLTP systems. The paper argues that, differences between the business rules used to interpret these same data sets, risk gaps in semantics between information captured by OLTP systems and information recalled through OLAP systems. Literature concerning the modeling of business transaction information as facts with context as part of the modelling of information systems were reviewed to identify design trends that are contributing to the design quality of OLTP and OLAP systems. The paper then argues that; the quality of OLTP and OLAP systems design has a critical dependency on the capture of facts with associated context, encoding facts with contexts into data with business rules, storage and sourcing of data with business rules, decoding data with business rules into the facts with the context and recall of facts with associated contexts. The paper proposes UBIRQ, a design model to aid the co-design of data with business rules storage for OLTP and OLAP purposes. The proposed design model provides the opportunity for the implementation and use of multi-purpose databases, and business rules stores for OLTP and OLAP systems. Such implementations would enable the use of OLTP systems to record and store data with executions of business rules, which will allow for the use of OLTP and OLAP systems to query data with business rules used to capture the data. Thereby ensuring information recalled via OLAP systems preserves the contexts of transactions as per the data captured by the respective OLTP system.

General equilibrium model with restricted participation in financial markets

The paper analyses a general equilibrium model with financiaI markets in which households may face restrictions in trading financiaI assets such as borrowing constraints and collateral (restricted participation model). However, markets are not assumed to be incomplete. We consider a standard general equilibrium model with H > 1 households, 2 periods and S states of nature in the second period. We show that generically the set of equilibrium allocations ia indeterminate, provided the existence of at least one nominal asset and one household for who some restriction is binding. Suppose there are C > 1 commodities in each state of nature and assets pays in units of some commodity. In this case for each household with binding restrictions it is possible to reduce the set of feasible assets trading and obtain a new equilibrium that utility improve alI those households. There is however an upper bound on the number of households to be improved related to the number of states of nature and the number of commodities. In particular, if the number of households ia smaller than the number of states of nature it is possible to Pareto improve any equilibrium by reducing the feasible choice set for each household.