940 resultados para Padrão facial hiperdivergente
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OBJECTIVE: To describe the distribution of malocclusion and its associated factors in Brazilian adolescents. METHODS: Data from 7,328 subjects aged 12 years and 5,445 adolescents aged 15-19 years were analyzed. The adolescents took part in the Brazilian Oral Health Survey (SBBrasil 2010). The outcome was severe malocclusion according to the dental aesthetic index. The independent variables were sex, skin color, monthly household income, possessions, number of individuals in the household, untreated dental caries, missing teeth and dental appointments or lack thereof, frequency, and reason. Logistical regression analysis was carried out, considering the complex sampling cluster design, based on a hierarchical model. RESULTS: The prevalence of severe malocclusion was 6.5% and 9.1% in the 12-year-olds and the 15-19-year-olds, respectively. After adjustment, those with lighter- skinned black or black skin were 1.59 (95%CI 1.08;2.34) times more likely to present the outcome compared with those with white skin. The loss of one or more first molars increased 2.66 (95%CI 1.26;5.63) the chance to present severe malocclusion by the age of 12. Adolescents aged 15-19 whose household income was below R$ 1,500.00 (OR 2.69 [95%CI 1.62; 4.47]) and those who had seen a dentist for treatment (OR 2.59 [95%CI 2.55;4.34]) had the greatest chance of having severe malocclusion compared with those with higher incomes and those who visited the dentist for prevention.
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Globalization and technological changes that has happened since the 80s have brought remarkable changes in the industrial and commercial paradigm, which are expressed mainly in the international fragmentation of production and in the formation of Global Value Chains (GVC). This thesis sought to understand such phenomena and discuss new relevant variables in this context for a more accurate analysis of the current trade patterns not addressed by the seminal economic theories that relate trade and economic growth. It sought to evaluate how the trade specialization pattern of Brazil evolved compared to other economies (China, India, Russia, United States, Japan and selected Latin American economies) in the light of these phenomena from 1995 to 2011. Therefore, we have used the methodology of gross exports decomposition in value added measures, developed by Koopman et al. (2014), and indicators estimated from data of two global matrices I-O: a WIOT (2013) and the TiVA (2015). It was also tested two hypotheses regarding the role of these phenomena as determinants of economic growth in recent years: 1º) fragmentation and participation in GVC ensure higher growth rates for countries; 2º) the place (stage) in which the country finds itself in GVC associated with sectoral technological aspects is also important for economic growth. For this, we used dynamic panel models (Difference GMM and System GMM) for a sample of 40 countries from 2003 to 2011. The studies carried out on Brazil show that the country is no longer on the margins of these phenomena, because it shows increasing rates of participation in GVC, including in sectors considered most strategic for fragmentation. However, there is not a standard convergence of trade specialization of the country to those presented by developed countries or movements earned by China and Mexico in terms of their position and profile of participating in GVC. Another important result obtained by the thesis is the identification of these phenomena are in fact new variables relevant for economic growth, because it shows empirical evidences to support the hypothesis 1 and, partially, the hypothesis 2. A joint analysis of the estimated econometric results with the results of the descriptive analysis of the Brazilian economy, it leads us to conclude that the trade specialization pattern of the country in the context of the new trade setups is presented unfavorably to its growth strategy.
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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.
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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.
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The rise of China has been providing various effects on developed and developing countries, particularly its Asian neighbors which compete in third markets, such as the U.S., Europe and Japan this sense, the present study aimed to analyze the pattern of Chinese trade with two different groups of countries: the Asian neighbors (Asian Tigers and Dragons) and developed countries (United States, Europe and Japan) during the 2000s. To this end, this paper adopts the methodology of second breakdown of trade technological intensity proposed by Lall (2000). Furthermore, to analyze the intensity of trade between these economies as well as potential threats over their Chinese business partners close, we calculated the following indicators of trade: Trade Intensity Index (TII), Trade Orientation Index (TOI) , Intra-Industry Trade Index (ICII), Index Of Revealed Comparative Advantage (RCA), and, finally, the Contribution To The Balance Index (ICS). The main result achieved is the existence of China\'s trade patterns differ for each group of countries, according to the type of expertise of each partner.
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This work aim to show that the reach to the limits of capital accumulation, which is showing its first signs since the 60 s, has and still is exercising great importance in Brazilian economic policies. In the first chapter, we establish a reference to what is understood as the limit of capital accumulation after World War II and how the accumulation process drives itself to its own limits. In the following chapters, we detach the importance of the reached limit to the most relevant moments of Brazilian economic policy. Since the IIPND, when the first signs of influence raise in Brazilian economy, passing through the stabilizing attempts during the 80 s and 90 s and the emergence of the pro-market State in Brazil, until the 00 s, when macroeconomic prudence took shape and delimited the conduction of the country s economic policy, we will show how the limit of capital accumulation has played an important role.
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Nos últimos anos tem-se verificado que a população portuguesa está cada vez mais envelhecida. Este fator agrava-se em ambientes rurais, onde a desertificação populacional é mais frequente, derivado, entre outros, da migração da população mais jovem para os grandes centros urbanos, em busca de melhores condições de vida. Tendo como consequência a exclusão social da população residente nestas zonas. O reduzido foco populacional das zonas rurais não é um fator atrativo para as entidades que realizam investimentos em serviços e infraestruturas tecnológicas, devido ao retorno financeiro obtido não ser, à partida, rentável. Levando a uma exclusão tecnológica de quem reside nestas zonas. Este fator, agrava-se na população sénior dado que raramente são estimulados a interagir com a tecnologia. Com o objetivo de contribuir para a melhoria desta problemática, combatendo simultaneamente os dois tipos de exclusões, tecnológica e social, propõem-se através desta dissertação, um serviço de videochamada, baseado no conceito do padrão Hybrid Broadcast Broadband TV (HbbTV). Um dos fatores considerados, durante o estudo deste serviço, foi a barreira tecnológica existente entre os idosos e a tecnologia. De modo a aproximar ambos, optou-se por aproveitar os conhecimentos que os idosos já possuem na utilização de equipamentos do seu quotidiano. Sendo a televisão, o equipamento selecionado para integrar no serviço de videochamada, permitindo ao idoso contactar facilmente com outras pessoas e serviços. Através da implementação de um protótipo e dos resultados obtidos, conclui-se que o serviço desenvolvido é uma solução válida para combater a problemática apresentada, contribuindo positivamente para a redução da exclusão social e da iliteracia tecnológica
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Background: Identifying biological markers to aid diagnosis of bipolar disorder (BD) is critically important. To be considered a possible biological marker, neural patterns in BD should be discriminant from those in healthy individuals (HI). We examined patterns of neuromagnetic responses revealed by magnetoencephalography (MEG) during implicit emotion-processing using emotional (happy, fearful, sad) and neutral facial expressions, in sixteen BD and sixteen age- and gender-matched healthy individuals. Methods: Neuromagnetic data were recorded using a 306-channel whole-head MEG ELEKTA Neuromag System, and preprocessed using Signal Space Separation as implemented in MaxFilter (ELEKTA). Custom Matlab programs removed EOG and ECG signals from filtered MEG data, and computed means of epoched data (0-250ms, 250-500ms, 500-750ms). A generalized linear model with three factors (individual, emotion intensity and time) compared BD and HI. A principal component analysis of normalized mean channel data in selected brain regions identified principal components that explained 95% of data variation. These components were used in a quadratic support vector machine (SVM) pattern classifier. SVM classifier performance was assessed using the leave-one-out approach. Results: BD and HI showed significantly different patterns of activation for 0-250ms within both left occipital and temporal regions, specifically for neutral facial expressions. PCA analysis revealed significant differences between BD and HI for mild fearful, happy, and sad facial expressions within 250-500ms. SVM quadratic classifier showed greatest accuracy (84%) and sensitivity (92%) for neutral faces, in left occipital regions within 500-750ms. Conclusions: MEG responses may be used in the search for disease specific neural markers.
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[ES]This paper describes an analysis performed for facial description in static images and video streams. The still image context is first analyzed in order to decide the optimal classifier configuration for each problem: gender recognition, race classification, and glasses and moustache presence. These results are later applied to significant samples which are automatically extracted in real-time from video streams achieving promising results in the facial description of 70 individuals by means of gender, race and the presence of glasses and moustache.
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VARELA, M. L. et al. Influência da adição de resíduo de caulim nas propriedades tecnológicas de uma massa padrão de porcelanato produzido em escala industrial. Cerâmica, v.55, n.334 p.209-215. 2009.ISSN 0366-6913.Disponível em:
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A grande diversidade na arquitetura de dispositivos de hardware, aliada aos seus diferentes protocolos de comunicação, tem dificultado a implementação de sistemas que necessitam realizar o acesso a esses dispositivos. Diante dessas diferenças, surge a necessidade de prover o acesso a esses dispositivos de forma transparente. Neste sentido, o presente trabalho propõe um middleware mult entrada e saída para acesso a dispositivos, como forma de abstrair o mecanismo de escrita e leitura de dados em dispositivos de hardware, contribuindo desta forma, para o aumento na produtividade dos sistemas, uma vez que os desenvolvedores estão focados apenas nos seus requisitos funcionais
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Dissertação (Mestrado)
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Introdução: A parentalidade é um papel muito valorizado socialmente. No entanto, para casais com infertilidade o desempenho deste papel pode implicar tratamentos de fertilidade, alguns deles com recurso a gâmetas de dador. Para os casais que recorrem a gâmetas de dador, surge uma outra preocupação: contar à criança a origem da sua conceção ou manter segredo. Ainda que as motivações que influenciam este processo de decisão tenham sido alvo de estudo, em Portugal a investigação relativa a este tema é escassa. Objetivos: A presente investigação pretendeu desenvolver e estudar a validade facial do Questionário de Motivações para Revelar/Não Revelar a Parentalidade não Genética por Doação de Gâmetas (QMRDG), o qual se destina a avaliar as principais motivações que influenciam o processo de tomada de decisão dos pais que recorrem a gâmetas de dador relativamente a contar ou não contar ao/à seu/sua filho/a a origem da sua conceção. Pretendeu-se ainda explorar a relação entre os sintomas emocionais negativos e o sentido de competência parental nos diferentes grupos em estudo (pais que já contaram à criança, pais que decidiram não contar e pais que ainda não contaram). Metodologia: Estudo exploratório conduzido numa amostra de 21 participantes que recorrem a tratamento de fertilidade com recurso a gâmetas de dador, tendo tido filhos resultantes desse mesmo tratamento, com idades compreendidas entre os 30 e 49 anos. Os participantes preencheram um conjunto de questionários numa plataforma online, tendo o estudo sido divulgado pela Associação Portuguesa de Fertilidade. Resultados: Os dados obtidos indicam que a maioria dos pais ainda não contou ao/à seu/sua filho/a sua origem genética devido ao facto de a criança ser ainda muito pequena, encontrando-se estes com intenção de revelar à criança. Dos pais que já contaram, as motivações que mais influenciaram a decisão basearam-se na falta de motivos para omitir, na importância dada à honestidade, no direito do conhecimento das origens genéticas e na transparência no seio familiar. Face às motivações para não contar, das que mais influenciaram os pais salienta-se a pouca importância dada à genética. O QMRDG revelou possuir validade facial não tendo sido reportada a existência de itens ambíguos ou de difícil compreensão. Discussão: A tendência dos pais no presente estudo foi de contar ao/à seu/sua filho/a a origem da sua conceção, sendo também esta a tendência reportada em estudos mais recentes. Verificou-se a existência de algumas limitações no estudo, nomeadamente o tamanho da amostra. No entanto, o QMRDG mostrou possuir validade facial, podendo constituir-se como um instrumento útil na prática clínica e na investigação com pessoas que estejam a realizar tratamento de fertilidade com recurso a gâmetas de dador. / Introduction: Parenting is a highly valued social role. However, for couples dealing with infertility this role can involve fertility treatments, and for some of them donorassisted reproduction. For couples who use third party reproduction, another concern can emerge: tell the child about the donor conception, or preserve secrecy. Although arguments for decision making have been studied, in Portugal research on this topic is scanty. Objectives: The current study sought out to develop and study the facial validity of Motivations for Disclosing/Not Disclosing Non-genetic Parenthood through Gamete Donation (QMRDG), which is designed to assess motivations that influence the decision-making process of parents who use gamete donation regarding tell or not to tell to his/her son/daughter his/her conception. The existence of differences concerning emotional negative symptoms and parenting sense of competence in three groups (parents that already disclosed, parents that decided not to disclose and parents that did not decide what to do) was also explored. Methods: This exploratory study was conducted in sample of 21 participants who undergone third-party reproduction treatment and became parents. Participants´ age ranged from 30 to 49 years. Participants completed a set of questionnaires through an online platform. The study was advertised by Associação Portuguesa de Fertilidade. Results: Data showed that most parents did not disclose to their child their donor conception due to the fact that the child is still very young, but their intention seems to be to disclose in the future. For parents who have disclosed, core motivations for that decision are based on the lack of reasons for omitting, on the importance of honesty, on the right to know genetic origins and on transparency in the family. Concerning motivations for not disclosing the little importance given to genetics emerges as one of the most important ones. QMRDG revealed good facial validity. The existence of ambiguous or difficult to understand items has not been reported. Discussion: In our study parent’s tendency was to disclose to his/her son/daughter his/her donor conception and this is also the trend reported in recent studies. There are some methodological limitations that should be considered mainly due to the sample size. However, the QMRDG proved to be an instrument showing facial validity, and it can be a useful tool in clinical practice and research with people who are pursuing fertility treatment with gamete donation.