A educação física e a dança: a abordagem estética do desporto como uma possibilidade na área da composição coreográfica, com alunos do 5º vocacional da Academia de Música de Vilar do Paraíso

Relatório Final de Estágio apresentado à Escola Superior de Dança, com vista à obtenção do grau de Mestre em Ensino de Dança.

"Pyrame et Thisbé" revisité par Shakespeare et Vilar dans "Le Songe d’une nuit d’été" : le théâtre populaire en abyme

International audience

Life quality and the wellness of victims of domestic violence. study case of the Centro Social, Recreativo e Cultural de Vilar de Maçada

This research aims to present an analysis on the absence of social responses that address the problem of domestic violence in Alijó. Our main goal is not only a theoretical approach about the issue of domestic violence, regional conditions in relation to domestic violence, but also present a study on the potentialities of Centro Social Recreativo e Cultural de Vilar de Maçada, our case study, can apply for funding of an emergency housing for victims of domestic violence. This paper is divided into three parts: theoretical framework and characterization of our social organization, according to an exploratory research, structuring a strategic plan of the organization, through field research, and as final result, to present a proposal for funding and implementation of an innovative social response, according to the underlying legislation to Portugal 2020. The sample is focused on the population of Alijó municipality. To conclude, it is important to make this local approach, because of the increasing number of cases not detected and reported. Thus, the quality of life is increased, reducing the incidence of violence in the family.

Bayesian models for longitudinal data

Longitudinal data, where data are repeatedly observed or measured on a temporal basis of time or age provides the foundation of the analysis of processes which evolve over time, and these can be referred to as growth or trajectory models. One of the traditional ways of looking at growth models is to employ either linear or polynomial functional forms to model trajectory shape, and account for variation around an overall mean trend with the inclusion of random eects or individual variation on the functional shape parameters. The identification of distinct subgroups or sub-classes (latent classes) within these trajectory models which are not based on some pre-existing individual classification provides an important methodology with substantive implications. The identification of subgroups or classes has a wide application in the medical arena where responder/non-responder identification based on distinctly diering trajectories delivers further information for clinical processes. This thesis develops Bayesian statistical models and techniques for the identification of subgroups in the analysis of longitudinal data where the number of time intervals is limited. These models are then applied to a single case study which investigates the neuropsychological cognition for early stage breast cancer patients undergoing adjuvant chemotherapy treatment from the Cognition in Breast Cancer Study undertaken by the Wesley Research Institute of Brisbane, Queensland. Alternative formulations to the linear or polynomial approach are taken which use piecewise linear models with a single turning point, change-point or knot at a known time point and latent basis models for the non-linear trajectories found for the verbal memory domain of cognitive function before and after chemotherapy treatment. Hierarchical Bayesian random eects models are used as a starting point for the latent class modelling process and are extended with the incorporation of covariates in the trajectory profiles and as predictors of class membership. The Bayesian latent basis models enable the degree of recovery post-chemotherapy to be estimated for short and long-term followup occasions, and the distinct class trajectories assist in the identification of breast cancer patients who maybe at risk of long-term verbal memory impairment.