Desenvolvimento: um conceito multidimensional

O presente trabalho faz uma reflexão sobre o processo de construção do conceito de desenvolvimento na sociedade capitalista. Para tanto, utiliza-se da análise histórica com ênfase em quatro dimensões: econômica, política, social e ambiental. O estudo demonstra que o conceito surge na biologia, empregado como processo de evolução dos seres vivos para o alcance de suas potencialidades genéticas, porém, incorpora-se nas teorias e práticas sociais, por meio da economia, da sociologia, da antropologia e da ciência política. Ao longo de seu percurso histórico, o termo proporcinou algumas concepções diferentes de sociedade, como sociedade do crescimento, sociedade do bem estar social e sociedade sustentável. Portanto, este ensaio propõe compreender a lógica que fundamenta essas mudanças paradigmáticas do significado de desenvolvimento na sociedade.

Desenvolvimento e validação de questionário multidimensional para medir não-adesão ao tratamento com medicamentos

O estudo objetivou desenvolver e validar instrumento capaz de medir não-adesão ao tratamento com medicamentos em suas múltiplas dimensões. O Questionário de Adesão a Medicamentos com três perguntas foi aplicado a 46 pessoas com hipertensão arterial em Blumenau, SC, 2006. Compararam-se as medidas de não-adesão obtidas com outros quatro métodos: testes de Haynes, Morisky, contagem de comprimidos e desfecho clínico. As medidas de não-adesão variaram de acordo com o método. A medida composta obtida a partir do questionário desenvolvido resultou em não-adesão de 47,8% (IC 95%: 32,9;63,1), enquanto o padrão-ouro foi 69,6% (IC 95%: 54,3;82,3). As medidas de acurácia para detectar não-adesão mostraram sensibilidade de 62,5% e especificidade de 85,7%, área sob a curva ROC de 74,1% e valor preditivo positivo de 90,9%. Os resultados sugerem bom desempenho do Questionário de Adesão a Medicamentos.

A importância da informação contabilística multidimensional face às necessidades dos múltiplos stakeholders: estudo de caso da entidade BETA, SROC, Lda.

Mestrado em Contabilidade

Neural-network approach to modeling liquid crystals in complex confinement

Finding the structure of a confined liquid crystal is a difficult task since both the density and order parameter profiles are nonuniform. Starting from a microscopic model and density-functional theory, one has to either (i) solve a nonlinear, integral Euler-Lagrange equation, or (ii) perform a direct multidimensional free energy minimization. The traditional implementations of both approaches are computationally expensive and plagued with convergence problems. Here, as an alternative, we introduce an unsupervised variant of the multilayer perceptron (MLP) artificial neural network for minimizing the free energy of a fluid of hard nonspherical particles confined between planar substrates of variable penetrability. We then test our algorithm by comparing its results for the structure (density-orientation profiles) and equilibrium free energy with those obtained by standard iterative solution of the Euler-Lagrange equations and with Monte Carlo simulation results. Very good agreement is found and the MLP method proves competitively fast, flexible, and refinable. Furthermore, it can be readily generalized to the richer experimental patterned-substrate geometries that are now experimentally realizable but very problematic to conventional theoretical treatments.

A participação da pessoa com Afasia: uma abordagem multidimensional

A comunicação e a aprendizagem encontram-se intimamente ligadas. Constituem a essência do desenvolvimento e crescimento humanos através das quais legitimamos o nosso processo de vida. É através delas que a pessoa se envolve nas suas atividades diárias e desempenha os papéis que são esperados de si pela sociedade. Para a pessoa com afasia esta realidade encontra-se drasticamente alterada. A afasia pode criar limitações à atividade e restrições à participação do indivíduo resultantes da relação da deficiência com o meio em que a pessoa se move. O impacto dos fatores ambientais na aprendizagem do viver com afasia e consequente renegociação do “eu” precisa de ser foco de reflexão.

Multidimensional scaling analysis of the dynamics of a country economy

This paper analyzes the Portuguese short-run business cycles over the last 150 years and presents the multidimensional scaling (MDS) for visualizing the results. The analytical and numerical assessment of this long-run perspective reveals periods with close connections between the macroeconomic variables related to government accounts equilibrium, balance of payments equilibrium, and economic growth. The MDS method is adopted for a quantitative statistical analysis. In this way, similarity clusters of several historical periods emerge in the MDS maps, namely, in identifying similarities and dissimilarities that identify periods of prosperity and crises, growth, and stagnation. Such features are major aspects of collective national achievement, to which can be associated the impact of international problems such as the World Wars, the Great Depression, or the current global financial crisis, as well as national events in the context of broad political blueprints for the Portuguese society in the rising globalization process.

Multidimensional scaling for orthodontic root resorption

The paper investigates the risk factors for the severity of orthodontic root resorption. The multidimensional scaling (MDS) visualization method is used to investigate the experimental data from patients who received orthodontic treatment at the Department of Orthodontics and Dentofacial Orthopedics, Faculty of Dentistry, “Carol Davila” University of Medicine and Pharmacy, during a period of 4 years. The clusters emerging in the MDS plots reveal features and properties not easily captured by classical statistical tools. The results support the adoption of MDS for tackling the dentistry information and overcoming noise embedded into the data. The method introduced in this paper is rapid, efficient, and very useful for treating the risk factors for the severity of orthodontic root resorption.

Analysis of stock market indices with multidimensional scaling and wavelets

Stock market indices SMIs are important measures of financial and economical performance. Considerable research efforts during the last years demonstrated that these signals have a chaotic nature and require sophisticated mathematical tools for analyzing their characteristics. Classical methods, such as the Fourier transform, reveal considerable limitations in discriminating different periods of time. This paper studies the dynamics of SMI by combining the wavelet transform and the multidimensional scaling MDS . Six continuous wavelets are tested for analyzing the information content of the stock signals. In a first phase, the real Shannon wavelet is adopted for performing the evaluation of the SMI dynamics, while their comparison is visualized by means of the MDS. In a second phase, the other wavelets are also tested, and the corresponding MDS plots are analyzed.

Analysis of UV spectral bands using multidimensional scaling

This study describes the change of the ultraviolet spectral bands starting from 0.1 to 5.0 nm slit width in the spectral range of 200–400 nm. The analysis of the spectral bands is carried out by using the multidimensional scaling (MDS) approach to reach the latent spectral background. This approach indicates that 0.1 nm slit width gives higher-order noise together with better spectral details. Thus, 5.0 nm slit width possesses the higher peak amplitude and lower-order noise together with poor spectral details. In the above-mentioned conditions, the main problem is to find the relationship between the spectral band properties and the slit width. For this aim, the MDS tool is to used recognize the hidden information of the ultraviolet spectra of sildenafil citrate by using a ShimadzuUV–VIS 2550, which is in theworld the best double monochromator instrument. In this study, the proposed mathematical approach gives the rich findings for the efficient use of the spectrophotometer in the qualitative and quantitative studies.

Fractional order modelling of zero length column desorption response for adsorbents with variable particle sizes

This manuscript analyses the data generated by a Zero Length Column (ZLC) diffusion experimental set-up, for 1,3 Di-isopropyl benzene in a 100% alumina matrix with variable particle size. The time evolution of the phenomena resembles those of fractional order systems, namely those with a fast initial transient followed by long and slow tails. The experimental measurements are best fitted with the Harris model revealing a power law behavior.

Multidimensional scaling analysis of fractional systems

This paper investigates the use of multidimensional scaling in the evaluation of fractional system. Several algorithms are analysed based on the time response of the closed loop system under the action of a reference step input signal. Two alternative performance indices, based on the time and frequency domains, are tested. The numerical experiments demonstrate the feasibility of the proposed visualization method.

The effect of fractional order in variable structure control

This paper studies fractional variable structure controllers. Two cases are considered namely, the sliding reference model and the control action, that are generalized from integer into fractional orders. The test bed consists in a mechanical manipulator and the effect of the fractional approach upon the system performance is evaluated. The results show that fractional dynamics, both in the switching surface and the control law are important design algorithms in variable structure controllers.

Questionário do ELSA-Brasil: desafios na elaboração de instrumento multidimensional

O artigo apresenta o processo de elaboração do questionário utilizado no Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil). Iniciamos pelo relato sobre a "Seleção de Temas" abordados no questionário, cujo conteúdo teria que abranger o conhecimento disponível acerca da complexa rede de causalidade dos desfechos de interesse, assim como possibilitar a comparabilidade com estudos semelhantes. Contextualizamos a "tradução e a adaptação de instrumentos de medida", necessárias no caso de escalas de avaliação de vizinhanças, do instrumento para diagnóstico de transtornos depressivos e de ansiedade, e do questionário de frequência alimentar. A seguir, comentamos os critérios que nortearam a "ordem dos blocos temáticos" e finalmente a importância prática dos "pré-testes e estudos-piloto". As relações entre o conjunto de informações reunidas no ELSA poderão constituir contribuição original sobre os fatores que causam ou agravam os desfechos de interesse no contexto brasileiro, assim como sobre seus fatores de proteção.

Visualizing non-linear control system performance by means of multidimensional scaling

This paper addresses the use of multidimensional scaling in the evaluation of controller performance. Several nonlinear systems are analyzed based on the closed loop time response under the action of a reference step input signal. Three alternative performance indices, based on the time response, Fourier analysis, and mutual information, are tested. The numerical experiments demonstrate the feasibility of the proposed methodology and motivate its extension for other performance measures and new classes of nonlinearities.

Analysis of stock market indices through multidimensional scaling

We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models.