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Estratégias de coping e adesão ao tratamento farmacológico na doença coronária isquémica

Antunes, Carla Sofia Simões
Fonte: Instituto Politécnico de Viseu, Escola Superior de Saúde de Viseu Publicador: Instituto Politécnico de Viseu, Escola Superior de Saúde de Viseu
Tipo: Dissertação de Mestrado
Publicado em //2011 Português
Relevância na Pesquisa
17.939818%
Título: Estratégias de Coping (EC) e Adesão ao tratamento farmacológico (ATF) na Doença Coronária Isquémica (DCI). Introdução: A DCI constitui a segunda causa de morte em Portugal. A não adesão ao tratamento é considerada uma das principais razões para a obtenção de resultados clínicos insatisfatórios. Torna-se pertinente estudar factores que possam influenciar a adesão, nomeadamente o Coping, no sentido de a melhorar. Objectivos: Descrever o perfil sociodemográfico e de saúde do doente com DCI; Relacionar as variáveis: sociodemográficas, Stress e Esquema terapêutico complicado com as EC; Relacionar as EC com a ATF. Metodologia: Estudo não-experimental, quantitativo, transversal, descritivo e correlacional, desenvolvido no Centro Hospitalar Cova da Beira. Amostra probabilística por acessibilidade, constituída por 110 indivíduos (68,2% homens, 31,8% mulheres; idade média=66,3 anos, dp=9,78 anos) com diagnóstico de DCI. Questionário que inclui questões para caracterização sociodemográfica e de saúde; Versão portuguesa do Teste de Medida de Adesão aos Tratamentos e do Questionário Brief COPE. Resultados: As variáveis analisadas influenciam a adopção de várias EC (p<0,05). Não foi determinada uma correlação estatisticamente significativa entre as EC e a ATF nos doentes com DCI (p-value>0...

Obesity and other health determinants across Europe: The EURALIM Project

Beer-Borst, S; Morabia, A; Hercberg, S; Vitek, O; Bernstein, M; Galan, P; Galasso, R; Giampaoli, S; Houterman, S; McCrum, E; Panico, S; Pannozzo, F; Preziosi, P; Ribas, L; Serra-Majem, L; Verschuren, W; Yarnell, J; Northridge, M
Fonte: BMJ Group Publicador: BMJ Group
Tipo: Artigo de Revista Científica
Publicado em /06/2000 Português
Relevância na Pesquisa
17.063658%
STUDY OBJECTIVE—EURALIM (EURope ALIMentation), a European collaborative study, aimed to determine and describe the extent to which European data on risk factor distributions from different populations could be pooled and harmonised in a common database for international comparisons.
SETTING—Seven independent population-based surveys from six European countries (France, Italy, Northern Ireland/United Kingdom, Spain, Switzerland, the Netherlands). 
METHODS—Data for 18 381 women and 12 908 men aged 40-59 were pooled in a common database. Central statistical analyses on major cardiovascular risk factors were conducted with careful consideration of methodological issues, including differences in study designs, data assessment tools, and analytic techniques used.
MAIN RESULTS—Because of the detected variability among methods used, direct comparisons of risk factor distributions and prevalences between studies were problematic. None the less, comparisons of within population contrasts by sex, age group, and other health determinants were considered to be meaningful and apt, as illustrated here for obesity. Results were targeted and disseminated to both the general public and public health professionals and framed in the context of a European information campaign.
CONCLUSIONS—International and national comparisons between existing locally run studies are feasible and useful...

Semantic Information Retrieval Using Ontology In University Domain

Rajasurya, Swathi; Muralidharan, Tamizhamudhu; Devi, Sandhiya; Swamynathan, S.
Fonte: Universidade Cornell Publicador: Universidade Cornell
Tipo: Artigo de Revista Científica
Publicado em 24/07/2012 Português
Relevância na Pesquisa
17.063658%
Today's conventional search engines hardly do provide the essential content relevant to the user's search query. This is because the context and semantics of the request made by the user is not analyzed to the full extent. So here the need for a semantic web search arises. SWS is upcoming in the area of web search which combines Natural Language Processing and Artificial Intelligence. The objective of the work done here is to design, develop and implement a semantic search engine- SIEU(Semantic Information Extraction in University Domain) confined to the university domain. SIEU uses ontology as a knowledge base for the information retrieval process. It is not just a mere keyword search. It is one layer above what Google or any other search engines retrieve by analyzing just the keywords. Here the query is analyzed both syntactically and semantically. The developed system retrieves the web results more relevant to the user query through keyword expansion. The results obtained here will be accurate enough to satisfy the request made by the user. The level of accuracy will be enhanced since the query is analyzed semantically. The system will be of great use to the developers and researchers who work on web. The Google results are re-ranked and optimized for providing the relevant links. For ranking an algorithm has been applied which fetches more apt results for the user query.

A best choice among asset pricing models? The conditional capital asset pricing model in Australia

Durack, Nick; Durand, Robert; Maller, Ross
Fonte: Blackwell Publishing Ltd Publicador: Blackwell Publishing Ltd
Tipo: Artigo de Revista Científica
Português
Relevância na Pesquisa
27.063657%
We use Australian data to test the Conditional Capital Asset Pricing Model (Jagannathan and Wang, 1996). Our results are generally supportive: the model performs well compared with a number of competing asset pricing models. In contrast to the study by Jagannathan and Wang, however, we find that the inclusion of the market for human capital does not save the concept of the time-independent market beta (it remains insignificant). We find support for the role of a small-minus-big factor in pricing the cross-section of returns and find grounds to disagree with Jagannathan and Wang's argument that this factor proxies for misspecified market risk.