Atividade eletromiográfica dos músculos temporal anterior e masseter em crianças respiradoras bucais e em respiradoras nasais

A respiração bucal tem sido estudada por causar sérios efeitos no desenvolvimento do sistema estomatognático. OBJETIVO: Estudar, através da análise eletromiográfica, o padrão de atividade elétrica dos músculos temporal anterior e masseter em crianças com respiração bucal, comparando-os com o de crianças com respiração nasal. MATERIAL E MÉTODO: Foram estudados dois grupos de crianças: 17 respiradoras bucais (RB) e 12 respiradoras nasais (RN). As crianças foram submetidas à avaliação eletromiográfica bilateral dos músculos supracitados nas situações de máxima intercuspidação e mastigação habitual. Utilizou-se o eletromiógrafo Myosystem Br-1, com 12 canais de aquisição, amplificação com ganho total de 5938, taxa de aquisição de 4000Hz e filtro passa-faixa de 20-1000Hz. O sinal foi processado em RMS, mensurado em µV e analisado e expresso em %, normalizado. Os dados foram tratados estatisticamente através do Teste t (Student). RESULTADOS: Observou-se que o nível de atividade elétrica do grupo RB foi inferior para todos os músculos e estatisticamente significante somente para o temporal esquerdo; os respiradores bucais apresentaram predomínio de atividade elétrica no lado direito e no músculo temporal durante a mastigação habitual. CONCLUSÃO: A respiração bucal interferiu na atividade elétrica dos músculos estudados nas situações funcionais de máxima intercuspidação e mastigação habitual.

Habilidades de ordenação temporal em usuários de implante coclear multicanal

O processamento das pistas acústicas dos sons da fala depende da adequada percepção da freqüência e da duração dos estímulos enquanto seqüência de eventos. OBJETIVO: Avaliar as habilidades de ordenação temporal em usuários de IC multicanal. MÉTODO: 14 indivíduos com audição normal, formadores do grupo controle equiparados em idade e gênero com 14 usuários de IC, que formaram o grupo experimental, foram avaliados e comparados quanto ao Teste de Padrões de Freqüência (TPF) e Teste de Padrões de Duração (TPD). RESULTADOS: Os usuários de IC apresentaram bom desempenho nas tarefas de ordenação temporal, com resultados médios de 48,7% no TPF e 59,6% no TPD. Para o grupo controle, o desempenho médio no TPF foi de 63,4% e no TPD de 64,6%. Não foi obtida diferença significativa estatisticamente entre os resultados dos grupos controle e experimental. CONCLUSÃO: O IC proporcionou desempenho favorável nas tarefas que exigem habilidades de ordenação temporal para os indivíduos avaliados neste estudo.

Resolução temporal de crianças: comparação entre audição normal, perda auditiva condutiva e distúrbio do processamento auditivo

A resolução temporal é essencial na percepção acústica da fala, podendo estar alterada nos distúrbios auditivos gerando prejuízos no desenvolvimento da linguagem. OBJETIVO: Comparar a resolução temporal de crianças com audição normal, perda auditiva condutiva e distúrbios do processamento auditivo. CASUÍSTICA E MÉTODO: A amostra foi de 31 crianças de 07 a 10 anos, divididas em três grupos: G1: 12 com audição normal, G2: sete com perda auditiva condutiva e G3: 12 com distúrbio do processamento auditivo. Os procedimentos de seleção foram: questionário aos responsáveis, avaliação audiológica e do processamento auditivo. O procedimento de pesquisa foi o teste de detecção de intervalos no silêncio realizado a 50 dB NS acima da média de 500, 1000 e 2000Hz na condição binaural em 500, 1000, 2000 e 4000Hz. Na análise dos dados foi utilizado o Teste de Wilcoxon, com nível de significância de 1%. RESULTADO: Observou-se que houve diferença entre os G1 e G2 e entre os G1 e G3 em todas as freqüências. Por outro lado, esta diferença não foi observada entre os G2 e G3. CONCLUSÃO A perda auditiva condutiva e o distúrbio do processamento auditivo têm influência no limiar de detecção de intervalos.

Measuring fund performance using multi-factor models: evidence for the Portuguese market

This paper examines the performance of Portuguese equity funds investing in the domestic and in the European Union market, using several unconditional and conditional multi-factor models. In terms of overall performance, we find that National funds are neutral performers, while European Union funds under-perform the market significantly. These results do not seem to be a consequence of management fees. Overall, our findings are supportive of the robustness of conditional multi-factor models. In fact, Portuguese equity funds seem to be relatively more exposed to smallcaps and more value-oriented. Also, they present strong evidence of time-varying betas and, in the case of the European Union funds, of time-varying alphas too. Finally, in terms of market timing, our tests suggest that mutual fund managers in our sample do not exhibit any market timing abilities. Nevertheless, we find some evidence of timevarying conditional market timing abilities but only at the individual fund level.

Models for the Reverse Engineering of Java/Swing Applications

Abstract. Interest in design and development of graphical user interface (GUIs) is growing in the last few years. However, correctness of GUI's code is essential to the correct execution of the overall software. Models can help in the evaluation of interactive applications by allowing designers to concentrate on its more important aspects. This paper describes our approach to reverse engineering abstract GUI models directly from the Java/Swing code.

Color Models and Illumination Changes

Color model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.

Extracting and verifying coordination models from source code

Current software development relies increasingly on non-trivial coordination logic for com- bining autonomous services often running on di erent platforms. As a rule, however, in typical non-trivial software systems, such a coordination layer is strongly weaved within the application at source code level. Therefore, its precise identi cation becomes a major methodological (and technical) problem which cannot be overestimated along any program understanding or refactoring process. Open access to source code, as granted in OSS certi cation, provides an opportunity for the devel- opment of methods and technologies to extract, from source code, the relevant coordination information. This paper is a step in this direction, combining a number of program analysis techniques to automatically recover coordination information from legacy code. Such information is then expressed as a model in Orc, a general purpose orchestration language

Avaliação de extrato de algas no progresso temporal da mancha de Mycosphaerella em cultivares de morangueiro

Em morangueiros, a mancha das folhas, causada por Mycosphaerella fragariae, é uma das doenças mais comuns na cultura, o que torna importantes os estudos de controle alternativo e de cultivares, sobre o progresso da epidemia. Em busca de práticas alternativas para seu controle, avaliou-se o efeito de cultivares de morangueiro e do extrato da alga Ascophyllum nodosum, na expressão dos sintomas de mycosphaerella, além de avaliar o ajuste de modelos de crescimento para o progresso temporal da incidência e severidade da doença. Utilizou-se o extrato de algas a 29%, na dose de 2 L ha-1, aplicado no solo, na folha e em ambos. As cultivares Dover, Toyonoka, Albion, Camarosa, Ventana, Campinas, Tudla e Camino Real foram avaliadas, quinzenalmente, quanto a incidência e severidade da doença. Utilizou-se o delineamento inteiramente casualizado, com parcelas subdivididas e três repetições. Com os dados de incidência e severidade, calculou-se a área abaixo da curva de progresso da doença e utilizou-se a análise de variância para avaliar o efeito de cultivares e do extrato de algas. Aos dados do progresso temporal da incidência e da severidade, em cada cultivar, foram ajustados os modelos monomolecular, logístico e de Gompertz. O extrato de algas não apresentou efeito ou interação com cultivares, no controle da mycosphaerella. Houve efeito de cultivar com menor intensidade da doença, em Albion e Ventana, devido, principalmente, ao atraso na epidemia, pela redução do inóculo inicial efetivo. Aos dados de progresso temporal da incidência e da severidade ajustaram-se, respectivamente, os modelos logístico e monomolecular, para todas as cultivares.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

ABOUT PSYCHOLOGICAL VARIABLES IN APPLICATION SCORING MODELS

The purpose of this study is to investigate the contribution of psychological variables and scales suggested by Economic Psychology in predicting individuals’ default. Therefore, a sample of 555 individuals completed a self-completion questionnaire, which was composed of psychological variables and scales. By adopting the methodology of the logistic regression, the following psychological and behavioral characteristics were found associated with the group of individuals in default: a) negative dimensions related to money (suffering, inequality and conflict); b) high scores on the self-efficacy scale, probably indicating a greater degree of optimism and over-confidence; c) buyers classified as compulsive; d) individuals who consider it necessary to give gifts to children and friends on special dates, even though many people consider this a luxury; e) problems of self-control identified by individuals who drink an average of more than four glasses of alcoholic beverage a day.

A Feedback Learning and Mental Models Perspective on Strategic Decision Making

This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term success. We present a set of hypotheses about the influence of feedback information and systems thinking facilitation on mental models and management performance. We explore, under controlled conditions, the role of mental models in terms of structure and behaviour. A test based on a simulation experiment with a system dynamics model was performed. Three out of the four hypotheses were confirmed. Causal diagramming positively influences mental model structure similarity, mental model structure similarity positively influences mental model behaviour similarity, and mental model behaviour similarity positively influences the quality of the decision.