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The Quality of Life for People with Parkinson’s Disease in Relation to Their Oral Health

Open Journal of Stomatology 2018年第11期8卷 312-318页

作者： Phablo Glewber Torres Bezerra Samuel Rodrigo de Andrade Veras Camila Caroline da silva Renato Mariano da silva deivison edson pereira da silva Eduardo Borges da Costa Leite Maria das Gracas Wanderley de Sales Coriolano Carla Cabral dos Santos Accioly Lins Federal University of Pernambuco RecifeBrazil Department of Prosthodontics and Oral and Maxillofacial Surgery Federal University of PernambucoRecifeBrazil Department of Anatomy Federal University of PernambucoRecifeBrazil

The present study aimed to evaluate the correlation between the oral health status and the quality of life for people with Parkinson’s disease. The Decayed, Missing, Filled (DMFT) index and the quality of life questionnaire for people with Parkinson’s disease (Parkinson’s Disease Questionnaire-39) were used as evaluation instruments. Sixty-two people with a clinical diagnosis of Parkinson’s disease between stages 1 and 3, age between 46 and 86 years, of both sexes, with an average time of disease evolution of 7 years, participated in the study. data were evaluated using the Pearson’s correlation test, and one-way ANOVA (p daily living.

关键词： Parkinson’s Disease Quality of Life DMFT Index

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Comparative Skill of Numerical Weather Forecasts in Eastern Amazonia

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Atmospheric and Climate Sciences 2013年第3期3卷 355-363页

作者： Bergson Cavalcanti de Moraes Douglas Batista da silva Ferreira Luiz Gylvan Meira Filho Juarez Ventura de Oliveira Everaldo Barreiros de Souza Pedro pereira Ferreira Junior Renata Kelen Cardoso Camara edson Jose Pda Rocha Joao Batista M.Ribeiro Vale Institute of Technology BelemBrazil Federal University of Para(UFPa) BelemBrazil

The present study evaluates the performance of three numerical weather forecasting models: Global Forecast System (GFS), Brazilian Regional Atmospheric Modelling System (BRAMS) and ETA Regional Model (ETA), by means of the Mean Error (ME) and the Root Mean Square Error (RMSE), during the most rainy four months period (January to April 2012) on Eastern Amazonia. The models displayed errors of superestimation and underestimation with respect to the observed precipitation, mainly over center-north of Pará and all of Amapá, where the precipitation is higher. Among the analyzed models, GFS shows the best performance, except during January and March, when the model to underestimated precipitation, possibly due to the anomalously high values recorded.

关键词： Meteorological Models Mean Error Root Mean Square Error Precipitation Eastern Amazonia

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