Insatisfação corporal e as influencias dos meios de comunicação face à aparência, controlo do peso e obesidade

RESUMO: O objectivo deste estudo é identificar o índice da insatisfação corporal e as influências dos meios de comunicação nas atitudes da mulher face á mudança da aparência, controlo do peso e Obesidade. Pretende-se com este estudo caracterizar e relacionar o índice de insatisfação corporal e a influência exercida pelos meios de comunicação social, fazendo um estudo com base nas diferenças entre dois grupos, numa amostra de 118 participantes do sexo feminino. A amostra de conveniência é composta por 59 mulheres diagnosticadas com obesidade mórbida grau III e grau IV, acompanhada no Serviço de Obesidade do Hospital de Santa Maria e numa amostra de 59 mulheres sem o diagnóstico de obesidade mórbida, com idades compreendidas entre os 19 e os 72 anos. O Protocolo de avaliação foi constituído por um questionário com recolhas dos dados demográficos e métodos utilizados pela mulher para o controlo do peso e duas escalas Sociocultural Attitudes Towards Appearance Questionnaire 3 e Body Shape Questionnaire. Verificou-se uma elevada insatisfação corporal e influências dos meios de comunicação no grupo clínico. Foi verificado ainda que a faixa etária das mulheres entre os 26 aos 39 anos são as que mais sofrem influências dos meios de comunicação face as atitudes para mudar a aparência. ABSTRACT: The objective of this study is to identify the index of body dissatisfaction and the influences of media on women's attitudes will change the face looks. It is intended to characterize the study and associate the index of body dissatisfaction and the influences exerted by the media, control and obesity. Doing a study based on the differences between two groups, a sample of 118 participants were female, the non-random sample consisted by 59 women diagnosed with morbid obesity level III and Grade IV, monitored in the Office of Obesity, Hospital de Santa Maria and a random sample of 59 women without a diagnosis of morbid obesity aged between 19 and 72 years. The Protocol of evaluation was made of a questionnaire with collections of demographic data and methods used by women for weight control and two scales Sociocultural Attitudes Towards Appearance Questionnaire 3 and Body Shape Questionnaire. There was high body dissatisfaction and influences of the media in the clinical group. It was also verified that the age group of women among the 26 to 39 years who are suffering most are the influences of the media to change attitudes towards the dark.

Return premiums of sustainable companies listed on the Spanish stock market

The purpose of this paper is to analyze whether companies with a greater commitment to corporate social responsibility (SRI companies) perform differently on the stock market compared to companies that disregard SRI. Over recent years, this relationship has been taken up at both a theoretical and practical level, and has led to extensive scientific research of an empirical nature involving the examination of the relationships existing between the financial and social, environmental and corporate governance performance of a company and the relationship between SRI and investment decisions in the financial market. More specifically, this work provides empirical evidence for the Spanish market as to whether or not belonging to a group of companies the market classes as sustainable results in return premiums that set them apart from companies classed as conventional, and finds no differences in the stock market performance of companies considered to be SRI or conventional.

Estratégias de oferta em leilões simétricos no âmbito dos mercados liberalizados de electricidade

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

Violência na escola: das políticas aos quotidianos

A existência de um alargado conjunto de situações, que designamos globalmente por violência na escola, tem dado origem, nos anos mais recentes, a diversos debates públicos e a numerosas referências nos meios de comunicação social. Foi neste contexto que se desenhou no CIES uma linha de investigação que questionou, dum ponto de vista sociológico, as concepções presentes no debate, procurando um confronto permanente entre a investigação teórica e empírica, dando particular atenção à análise e exploração das diferentes dimensões que o fenómeno assume.

Diffuse liver disease classification from ultrasound surface characterization, clinical and laboratorial data

In this work liver contour is semi-automatically segmented and quantified in order to help the identification and diagnosis of diffuse liver disease. The features extracted from the liver contour are jointly used with clinical and laboratorial data in the staging process. The classification results of a support vector machine, a Bayesian and a k-nearest neighbor classifier are compared. A population of 88 patients at five different stages of diffuse liver disease and a leave-one-out cross-validation strategy are used in the classification process. The best results are obtained using the k-nearest neighbor classifier, with an overall accuracy of 80.68%. The good performance of the proposed method shows a reliable indicator that can improve the information in the staging of diffuse liver disease.

Os determinantes da capacidade regional de inovação nas Regiões Periféricas da União Europeia

Dissertação de Mestrado em Gestão de Empresas/MBA.

On clustering interval data with different scales of measures : experimental results

This article is is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Attribution-NonCommercial (CC BY-NC) license lets others remix, tweak, and build upon work non-commercially, and although the new works must also acknowledge & be non-commercial.

Probabilistic approach for comparing partitions

3rd SMTDA Conference Proceedings, 11-14 June 2014, Lisbon, Portugal.

Clustering of variables with a three-way approach for health sciences

TPM Vol. 21, No. 4, December 2014, 435-447 – Special Issue © 2014 Cises.

Diferenciais intermunicipais de condições de vida e saúde: construção de um indicador composto

OBJETIVO: Descrever um índice para reconhecimento das desigualdades de condições de vida e saúde e sua relação com o planejamento em saúde. MÉTODOS: Foram selecionadas variáveis e indicadores que refletissem os processos demográficos, econômicos, ambientais e de educação, bem como oferta e produção de serviços de saúde. Esses indicadores foram utilizados no escalonamento adimensional dos indicadores e agrupamento dos 5.507 municípios brasileiros. As fontes de dados foram o censo de 2000 e os sistemas de informações do Ministério da Saúde. Para análise dos dados foram aplicados os testes z-score e cluster analysis. Com base nesses testes foram definidos quatro grupos de municípios segundo condições de vida. RESULTADOS: Existe uma polarização entre o grupo de melhores condições de vida e saúde (grupo 1) e o de piores condições (grupo 4). O grupo 1 é caracterizado pelos municípios de maior porte populacional e no grupo 4 estão principalmente os menores municípios. Quanto à macrorregião do País, os municípios do grupo 1 concentram-se no Sul e Sudeste e no grupo 4 estão os municípios do Nordeste. CONCLUSÕES: Por incorporar dimensões da realidade como habitação, meio ambiente e saúde, o índice de condições de vida e saúde permitiu identificar municípios mais vulneráveis, embasando a definição de prioridades, critérios para financiamento e repasse de recursos de forma mais eqüitativa.

Turismo de nichos : uma análise ao papel dos seniores como participantes ativos

Dissertação de Mestrado, Gestão do Turismo Internacional, 3 de Dezembro de 2015, Universidade dos Açores.

Entrepreneurship Education : The role of the Higher Education Institutions in the Entrepreneurial Attitudes of the Students

8th International Conference of Education, Research and Innovation. 18-20 November, 2015, Seville, Spain.

Clustering an interval data set : are the main partitions similar to a priori partition?

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Feature selection for clustering categorical data with an embedded modelling approach

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.

Categorical data clustering using a minimum message length criterion

Research on cluster analysis for categorical data continues to develop, new clustering algorithms being proposed. However, in this context, the determination of the number of clusters is rarely addressed. We propose a new approach in which clustering and the estimation of the number of clusters is done simultaneously for categorical data. We assume that the data originate from a finite mixture of multinomial distributions and use a minimum message length criterion (MML) to select the number of clusters (Wallace and Bolton, 1986). For this purpose, we implement an EM-type algorithm (Silvestre et al., 2008) based on the (Figueiredo and Jain, 2002) approach. The novelty of the approach rests on the integration of the model estimation and selection of the number of clusters in a single algorithm, rather than selecting this number based on a set of pre-estimated candidate models. The performance of our approach is compared with the use of Bayesian Information Criterion (BIC) (Schwarz, 1978) and Integrated Completed Likelihood (ICL) (Biernacki et al., 2000) using synthetic data. The obtained results illustrate the capacity of the proposed algorithm to attain the true number of cluster while outperforming BIC and ICL since it is faster, which is especially relevant when dealing with large data sets.