888 resultados para Web modelling methods


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Many granulation plants operate well below design capacity, suffering from high recycle rates and even periodic instabilities. This behaviour cannot be fully predicted using the present models. The main objective of the paper is to provide an overview of the current status of model development for granulation processes and suggest future directions for research and development. The end-use of the models is focused on the optimal design and control of granulation plants using the improved predictions of process dynamics. The development of novel models involving mechanistically based structural switching methods is proposed in the paper. A number of guidelines are proposed for the selection of control relevant model structures. (C) 2002 Published by Elsevier Science B.V.

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We compare Bayesian methodology utilizing free-ware BUGS (Bayesian Inference Using Gibbs Sampling) with the traditional structural equation modelling approach based on another free-ware package, Mx. Dichotomous and ordinal (three category) twin data were simulated according to different additive genetic and common environment models for phenotypic variation. Practical issues are discussed in using Gibbs sampling as implemented by BUGS to fit subject-specific Bayesian generalized linear models, where the components of variation may be estimated directly. The simulation study (based on 2000 twin pairs) indicated that there is a consistent advantage in using the Bayesian method to detect a correct model under certain specifications of additive genetics and common environmental effects. For binary data, both methods had difficulty in detecting the correct model when the additive genetic effect was low (between 10 and 20%) or of moderate range (between 20 and 40%). Furthermore, neither method could adequately detect a correct model that included a modest common environmental effect (20%) even when the additive genetic effect was large (50%). Power was significantly improved with ordinal data for most scenarios, except for the case of low heritability under a true ACE model. We illustrate and compare both methods using data from 1239 twin pairs over the age of 50 years, who were registered with the Australian National Health and Medical Research Council Twin Registry (ATR) and presented symptoms associated with osteoarthritis occurring in joints of the hand.

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This paper proposes a template for modelling complex datasets that integrates traditional statistical modelling approaches with more recent advances in statistics and modelling through an exploratory framework. Our approach builds on the well-known and long standing traditional idea of 'good practice in statistics' by establishing a comprehensive framework for modelling that focuses on exploration, prediction, interpretation and reliability assessment, a relatively new idea that allows individual assessment of predictions. The integrated framework we present comprises two stages. The first involves the use of exploratory methods to help visually understand the data and identify a parsimonious set of explanatory variables. The second encompasses a two step modelling process, where the use of non-parametric methods such as decision trees and generalized additive models are promoted to identify important variables and their modelling relationship with the response before a final predictive model is considered. We focus on fitting the predictive model using parametric, non-parametric and Bayesian approaches. This paper is motivated by a medical problem where interest focuses on developing a risk stratification system for morbidity of 1,710 cardiac patients given a suite of demographic, clinical and preoperative variables. Although the methods we use are applied specifically to this case study, these methods can be applied across any field, irrespective of the type of response.

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Introdução: A produção e o uso da literatura científica são analisados, quantificados e interpretados pela bibliometria, ciência utilizada para estudos métricos da informação publicada e que estuda as questões relacionadas com a comunicação científica e a atividade científica. Objetivo: O estudo apresentado é uma análise bibliométrica da produção científica portuguesa da área da saúde indexada na Web of Science. Métodos: Analisa-se a produção referente ao período entre 1992 e final de 2011. A análise da produção científica centrou-se nas seguintes variáveis: categorias de classificação da Web of Science, tipologia de documentos indexados, títulos de revistas, distribuição por anos de publicação, afiliação institucional, idiomas, países de origem dos autores com quem foram estabelecidas relações de parceria científica e quem facultou os financiamentos à investigação científica. Resultados: Foram contabilizados 34.208 trabalhos. Destes, o artigo é a forma mais utilizada pelos autores portugueses para a divulgação dos resultados de investigação (58,5%). A década mais recente é contemplada com 75,4% dos registos. A maioria da produção com visibilidade internacional é oriunda de universidades e de centros de investigação hospitalar; institutos, laboratórios da indústria farmacêutica e universidades estrangeiras têm valores residuais. A colaboração com outros investigadores internacionais destaca-se no caso da Europa (73,2%). O financiamento da investigação científica é suportado basicamente pela Fundação para a Ciência e Tecnologia (59,5%), seguida da Comissão Europeia (17,8%). O inglês é o idioma mais usado para a divulgação dos resultados de investigação nacional na área da saúde (97,8%). Conclusões: O uso de bases de dados ou de plataformas científicas para estudos bibliométricos é um processo moroso e difícil. O total de trabalhos em análise foi sempre o mesmo mas, em algumas variáveis, os valores não coincidem, quer porque alguns dos registos foram classificados em mais do que uma categoria temática, quer pelos trabalhos multidisciplinares oriundos das mesmas instituições, quer pelos trabalhos de colaboração internacional. Também no presente estudo os artigos são o veículo privilegiado para a divulgação dos resultados científicos. Apontamento final: deve encorajar-se a utilização de outras plataformas científicas e de outras bases de dados para uma mais completa recuperação da produção científica nacional na área da saúde. Introduction: The production and the use of the scientific literature are analyzed, quantified and interpreted by bibliometry. Bibliometry is the science used in published information metric studies and studies the questions of scientific communication and the scientific production. Aim of the study: This study presents a bibliometric analysis of the indexed Web of Science Portuguese scientific production in the health field. Methods: We analyzed the production from 1992 to the end of 2011. This analysis focused in several variables: general categories areas of Web of Science, indexed document types, source titles, publication years, group/corporate authors, languages, identification of the countries with scientific partnerships and identification of the funding agencies for scientific research. Results: We found 34.208 works. From this, the article is the most common channel for disseminating the research results (58.5%). The most recent decade has 75.4% of the total of records. Most of the production with international visibility becomes from universities and hospital research centers; institutes, pharmaceutical labs or foreign universities have residual values. Collaborating with other international researchers is very common, particularly with Europe (73.2%). In general, the Fundação para a Ciência e Tecnologia supports the scientific research (59.5%), followed by the European Commission (17.8%). The language commonly used for disseminating the research results in health is the English (97.8%). Conclusions: Using databases or scientific platforms for bibliometric studies is a hard and difficult process. The total of works analyzed was always the same but, with some variables, the numbers does not coincide: a) some of the registries were classified in several categories; b) some of the multidisciplinary works were from the same institution; c) the large number of international partnership. In this study, articles are the privileged way for disseminating the scientific results. A last thought: the use of other scientific platforms and databases should be encouraged for a more complete retrieval of the national research production in health.

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Introdução: A produção e o uso da literatura científica são analisados, quantificados e interpretados pela bibliometria, ciência utilizada para estudos métricos da informação publicada e que estuda as questões relacionadas com a comunicação científica e a atividade científica. Objetivo: O estudo apresentado é uma análise bibliométrica da produção científica portuguesa da área da saúde indexada na Web of Science. Métodos: Analisa-se a produção referente ao período entre 1992 e final de 2011. A análise da produção científica centrou-se nas seguintes variáveis: categorias de classificação da Web of Science, tipologia de documentos indexados, títulos de revistas, distribuição por anos de publicação, afiliação institucional, idiomas, países de origem dos autores com quem foram estabelecidas relações de parceria científica e quem facultou os financiamentos à investigação científica. Resultados: Foram contabilizados 34.208 trabalhos. Destes, o artigo é a forma mais utilizada pelos autores portugueses para a divulgação dos resultados de investigação (58,5%). A década mais recente é contemplada com 75,4% dos registos. A maioria da produção com visibilidade internacional é oriunda de universidades e de centros de investigação hospitalar; institutos, laboratórios da indústria farmacêutica e universidades estrangeiras têm valores residuais. A colaboração com outros investigadores internacionais destaca-se no caso da Europa (73,2%). O financiamento da investigação científica é suportado basicamente pela Fundação para a Ciência e Tecnologia (59,5%), seguida da Comissão Europeia (17,8%). O inglês é o idioma mais usado para a divulgação dos resultados de investigação nacional na área da saúde (97,8%). Conclusões: O uso de bases de dados ou de plataformas científicas para estudos bibliométricos é um processo moroso e difícil. O total de trabalhos em análise foi sempre o mesmo mas, em algumas variáveis, os valores não coincidem, quer porque alguns dos registos foram classificados em mais do que uma categoria temática, quer pelos trabalhos multidisciplinares oriundos das mesmas instituições, quer pelos trabalhos de colaboração internacional. Também no presente estudo os artigos são o veículo privilegiado para a divulgação dos resultados científicos. Apontamento final: deve encorajar-se a utilização de outras plataformas científicas e de outras bases de dados para uma mais completa recuperação da produção científica nacional na área da saúde. Introduction: The production and the use of the scientific literature are analyzed, quantified and interpreted by bibliometry. Bibliometry is the science used in published information metric studies and studies the questions of scientific communication and the scientific production. Aim of the study: This study presents a bibliometric analysis of the indexed Web of Science Portuguese scientific production in the health field. Methods: We analyzed the production from 1992 to the end of 2011. This analysis focused in several variables: general categories areas of Web of Science, indexed document types, source titles, publication years, group/corporate authors, languages, identification of the countries with scientific partnerships and identification of the funding agencies for scientific research. Results: We found 34.208 works. From this, the article is the most common channel for disseminating the research results (58.5%). The most recent decade has 75.4% of the total of records. Most of the production with international visibility becomes from universities and hospital research centers; institutes, pharmaceutical labs or foreign universities have residual values. Collaborating with other international researchers is very common, particularly with Europe (73.2%). In general, the Fundação para a Ciência e Tecnologia supports the scientific research (59.5%), followed by the European Commission (17.8%). The language commonly used for disseminating the research results in health is the English (97.8%). Conclusions: Using databases or scientific platforms for bibliometric studies is a hard and difficult process. The total of works analyzed was always the same but, with some variables, the numbers does not coincide: a) some of the registries were classified in several categories; b) some of the multidisciplinary works were from the same institution; c) the large number of international partnership. In this study, articles are the privileged way for disseminating the scientific results. A last thought: the use of other scientific platforms and databases should be encouraged for a more complete retrieval of the national research production in health.

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March 19 - 22, 2006, São Paulo, BRAZIL World Congress on Computer Science, Engineering and Technology Education

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Mestrado em Engenharia Informática. Sistemas Gráficos e Multimédia.

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Research on the problem of feature selection for clustering continues to develop. This is a challenging task, mainly due to the absence of class labels to guide the search for relevant features. Categorical feature selection for clustering has rarely been addressed in the literature, with most of the proposed approaches having focused on numerical data. In this work, we propose an approach to simultaneously cluster categorical data and select a subset of relevant features. Our approach is based on a modification of a finite mixture model (of multinomial distributions), where a set of latent variables indicate the relevance of each feature. To estimate the model parameters, we implement a variant of the expectation-maximization algorithm that simultaneously selects the subset of relevant features, using a minimum message length criterion. The proposed approach compares favourably with two baseline methods: a filter based on an entropy measure and a wrapper based on mutual information. The results obtained on synthetic data illustrate the ability of the proposed expectation-maximization method to recover ground truth. An application to real data, referred to official statistics, shows its usefulness.

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Purpose - The education and training of a nuclear medicine technologist (NMT) is not homogeneous among European countries, which leads to different scope of practices and, therefore, different technical skills are assigned. The goal of this research was to characterize the education and training of NMT in Europe. Materials and methods - This study was based on a literature research to characterize the education and training of NMT and support the historical evolution of this profession. It was divided into two different phases: the first phase included analysis of scientific articles and the second phase included research of curricula that allow health professionals to work as NMT in Europe. Results - The majority of the countries [N=31 (89%)] offer the NMT curriculum integrated into the high education system and only in four (11%) countries the education is provided by professional schools. The duration in each education system is not equal, varying in professional schools (2-3 years) and high education level system (2-4 years), which means that different European Credit Transfer and Accumulation System, such as 240, 230, 222, 210 or 180 European Credit Transfer and Accumulation System, are attributed to the graduates. The professional title and scope of the practice of NMT are different in different countries in Europe. In most countries of Europe, nuclear medicine training is not specific and curriculum does not demonstrate the Nuclear Medicine competencies performed in clinical practice. Conclusion - The heterogeneity in education and training for NMT is an issue prevalent among European countries. For NMT professional development, there is a huge need to formalize and unify educational and training programmes in Europe.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática.

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Nonlinear Optimization Problems are usual in many engineering fields. Due to its characteristics the objective function of some problems might not be differentiable or its derivatives have complex expressions. There are even cases where an analytical expression of the objective function might not be possible to determine either due to its complexity or its cost (monetary, computational, time, ...). In these cases Nonlinear Optimization methods must be used. An API, including several methods and algorithms to solve constrained and unconstrained optimization problems was implemented. This API can be accessed not only as traditionally, by installing it on the developer and/or user computer, but it can also be accessed remotely using Web Services. As long as there is a network connection to the server where the API is installed, applications always access to the latest API version. Also an Web-based application, using the proposed API, was developed. This application is to be used by users that do not want to integrate methods in applications, and simply want to have a tool to solve Nonlinear Optimization Problems.

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This contribution introduces the fractional calculus (FC) fundamental mathematical aspects and discuses some of their consequences. Based on the FC concepts, the chapter reviews the main approaches for implementing fractional operators and discusses the adoption of FC in control systems. Finally are presented some applications in the areas of modeling and control, namely fractional PID, heat diffusion systems, electromagnetism, fractional electrical impedances, evolutionary algorithms, robotics, and nonlinear system control.

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The structural integrity of multi-component structures is usually determined by the strength and durability of their unions. Adhesive bonding is often chosen over welding, riveting and bolting, due to the reduction of stress concentrations, reduced weight penalty and easy manufacturing, amongst other issues. In the past decades, the Finite Element Method (FEM) has been used for the simulation and strength prediction of bonded structures, by strength of materials or fracture mechanics-based criteria. Cohesive-zone models (CZMs) have already proved to be an effective tool in modelling damage growth, surpassing a few limitations of the aforementioned techniques. Despite this fact, they still suffer from the restriction of damage growth only at predefined growth paths. The eXtended Finite Element Method (XFEM) is a recent improvement of the FEM, developed to allow the growth of discontinuities within bulk solids along an arbitrary path, by enriching degrees of freedom with special displacement functions, thus overcoming the main restriction of CZMs. These two techniques were tested to simulate adhesively bonded single- and double-lap joints. The comparative evaluation of the two methods showed their capabilities and/or limitations for this specific purpose.

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Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica