10 resultados para upper and middle class

em Repositório Científico do Instituto Politécnico de Lisboa - Portugal


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In order to study the impact of premature birth and low income on mother–infant interaction, four Portuguese samples were gathered: full-term, middle-class (n=99); premature, middle-class (n=63); full-term, low income (n=22); and premature, low income (n=21). Infants were filmed in a free play situation with their mothers, and the results were scored using the CARE Index. By means of multinomial regression analysis, social economic status (SES) was found to be the best predictor of maternal sensitivity and infant cooperative behavior within a set of medical and social factors. Contrary to the expectations of the cumulative risk perspective, two factors of risk (premature birth together with low SES) were as negative for mother–infant interaction as low SES solely. In this study, as previous studies have shown, maternal sensitivity and infant cooperative behavior were highly correlated, as was maternal control with infant compliance. Our results further indicate that, when maternal lack of responsiveness is high, the infant displays passive behavior, whereas when the maternal lack of responsiveness is medium, the infant displays difficult behavior. Indeed, our findings suggest that, in these cases, the link between types of maternal and infant interactive behavior is more dependent on the degree of maternal lack of responsiveness than it is on birth status or SES. The results will be discussed under a developmental and evolutionary reasoning

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In the present longitudinal study, we investigated attachment quality in Portuguese mother–infant and in father–infant dyads, and evaluated whether attachment quality was related to parental sensitivity during parent–infant social interaction or to the amount of time each parent spent with the infant during play and in routine caregiving activities (e.g., feeding, bathing, play). The sample consisted of 82 healthy full-term infants (30 girls, 53 boys, 48 first born), and their mothers and fathers from mostly middle-class households. To assess parental sensitivity, mothers and fathers were independently observed during free play interactions with their infants when infants were 9 and 15 months old. The videotaped interactions were scored by masked coders using the Crittenden’s CARE-Index. When infants were 12 and 18 months old, mother–infant and father–infant dyads were videotaped during an adaptation of Ainsworth’s Strange Situation. Parents also described their level of involvement in infant caregiving activities using a Portuguese version of the McBride and Mills Parent Responsibility Scale. Mothers were rated as being more sensitive than fathers during parent–infant free play at both 9 and 15 months. There also was a higher prevalence of secure attachment in mother–infant versus father–infant dyads at both 12 and 18 months. Attachment security was predicted by the amount of time mothers and fathers were involved in caregiving and play with the infant, and with parents’ behavior during parent–infant free play.

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The purpose of this study is a cross-qualitative and quantitative gait analysis in 3 traumatic unilateral amputees using prosthesis with pin suspension compared to the use of prosthesis with a high vacuum suspension, the Harmony® system. In Portugal, there aren’t many studies made in the field of orthotic and prosthetic and knowledge about the number of amputees in the country. The only know is that the major cause of lower limb amputation is diabetes mellitus, being the most affected population the older age groups. The combination of technological developments with daily needs of the amputees is becoming more and more important for they better quality of life. This work was done during the curricular unit “Investigation in Prosthetics and Orthotics” class, in the 4th year of Health Technology School of Lisbon, in Portugal. This study analyzes if the change of suspension in transtibial prosthesis will influence some physiological response in amputees.

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o objeto deste artigo é analisar as respostas da escola ao fenômeno da violência em meio escolar e qual a influência das características dos contextos urbanos nesse processo. A identificação de escolas situadas em contextos urbanos fortemente degradados e com elevada conflitualidade e desigualdade social, mas que apresentavam níveis reduzidos de violência no seu interior e, inversamente, escolas com uma frequência elevada de ocorrências que se situavam em contextos urbanos mais estruturados e maioritariamente de classe média, levou- nos a questionar as concepções largamente aceitas e difundidas sobre o aparente contágio de conflitualidade em escolas situadas em meios sociais desfavorecidos. As evidências encontradas na análise dessa relação entre as escolas e o contexto social local permitiram- nos refutar o determinismo das características do meio social sobre as escolas, bem como a consequente incapacidade dessas na regulação e prevenção da violência. o centramento da pesquisa na dimensão organizacional, em concreto nas estratégias definidas e desenvolvidas pelas escolas no combate ao problema da violência, permitiu-nos compreender e demonstrar que as orientações, as práticas e os processos organizacionais têm um papel decisivo na pacificação dos quotidianos escolares.

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Esta comunicação tem como objetivo analisar como as políticas respeitantes à segurança escolar são reinterpretadas e reorientadas em resultado das estratégias e filosofias de intervenção das direções das escolas e outros agentes educativos. Tendo como premissa que o contexto social não determina linearmente a violência escolar, o estudo centrou-­se na análise das relações entre o contexto social local e organizacional das escolas, procurando identificar os factores relevantes para o processo de regulação da violência. Foram selecionados três clusters de escolas na Área Metropolitana de Lisboa, tendo em conta contrastes intra e inter clusters assim como a sua posição relativa face aos níveis de violência registadas a nível nacional. Foi identificada uma diversidade significativa de respostas à violência, concretizadas na mobilização de diferentes recursos pelos responsáveis das escolas com o duplo objetivo de atingir as metas políticas definidas e os seus próprios interesses estratégicos. Esta apropriação e reorientação das políticas realiza-­se através da estruturação de redes locais de poder, hierarquizando competências e responsabilidades, e no processo, redefinindo os objetivos do processo de prevenção e intervenção. A ocultação das situações de violência, o recrutamento preferencial de estudantes de classe média ou com sucesso educativo elevado, ou ainda as sanções desproporcionais para alunos agressores ou indisciplinados, foram algumas das estratégias identificadas. Isto mostra que os atores têm diferentes possibilidades e capacidades de ação num sistema complexo de regras sociais que, dentro de certos limites, lhes permite reinterpretar e reconstruir regras e, em última instância, contribuir para a alteração do próprio sistema (Mouzelis, 2000;; Burns e Flam, 2000;; Lipsky, 1980).

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Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. Steatosis is usually a diffuse liver disease, since it is globally affected. However, steatosis can also be focal affecting only some foci difficult to discriminate. In both cases, steatosis is detected by laboratorial analysis and visual inspection of ultrasound images of the hepatic parenchyma. Liver biopsy is the most accurate diagnostic method but its invasive nature suggest the use of other non-invasive methods, while visual inspection of the ultrasound images is subjective and prone to error. In this paper a new Computer Aided Diagnosis (CAD) system for steatosis classification and analysis is presented, where the Bayes Factor, obatined from objective intensity and textural features extracted from US images of the liver, is computed in a local or global basis. The main goal is to provide the physician with an application to make it faster and accurate the diagnosis and quantification of steatosis, namely in a screening approach. The results showed an overall accuracy of 93.54% with a sensibility of 95.83% and 85.71% for normal and steatosis class, respectively. The proposed CAD system seemed suitable as a graphical display for steatosis classification and comparison with some of the most recent works in the literature is also presented.

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Dissertation elaborated for the partial fulfilment of the requirements of the Master Degree in Civil Engineering in the Speciality Area of Hydarulics

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Discrete data representations are necessary, or at least convenient, in many machine learning problems. While feature selection (FS) techniques aim at finding relevant subsets of features, the goal of feature discretization (FD) is to find concise (quantized) data representations, adequate for the learning task at hand. In this paper, we propose two incremental methods for FD. The first method belongs to the filter family, in which the quality of the discretization is assessed by a (supervised or unsupervised) relevance criterion. The second method is a wrapper, where discretized features are assessed using a classifier. Both methods can be coupled with any static (unsupervised or supervised) discretization procedure and can be used to perform FS as pre-processing or post-processing stages. The proposed methods attain efficient representations suitable for binary and multi-class problems with different types of data, being competitive with existing methods. Moreover, using well-known FS methods with the features discretized by our techniques leads to better accuracy than with the features discretized by other methods or with the original features. (C) 2013 Elsevier B.V. All rights reserved.

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Relatório de Estágio apresentado à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ensino do 1º e 2º Ciclo do Ensino Básico

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Feature discretization (FD) techniques often yield adequate and compact representations of the data, suitable for machine learning and pattern recognition problems. These representations usually decrease the training time, yielding higher classification accuracy while allowing for humans to better understand and visualize the data, as compared to the use of the original features. This paper proposes two new FD techniques. The first one is based on the well-known Linde-Buzo-Gray quantization algorithm, coupled with a relevance criterion, being able perform unsupervised, supervised, or semi-supervised discretization. The second technique works in supervised mode, being based on the maximization of the mutual information between each discrete feature and the class label. Our experimental results on standard benchmark datasets show that these techniques scale up to high-dimensional data, attaining in many cases better accuracy than existing unsupervised and supervised FD approaches, while using fewer discretization intervals.