3,709,085 research outputs found

    Goal confidence and difficulty as predictors of goal attainment in junior high school cross-country runners

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    This study examined the influence of confidence in a goal and difficulty of the goal on the attainment of self-set goals regarding time and position. 63 Junior high school cross-country runners (M Age=13.5 yr., SD=.5 yr.) completed a 6-item Race Goals Questionnaire approximately 24 hr. prior to a 2km race. Attainability of a goal was assessed by categorizing runners into either a Performed to Expectation (Time, Position) or an Underperformed group (Time, Position). A 2 x 2 multivariate analysis of variance indicated significant differences between the two groups on Time for Confidence in and Difficulty of goals. There were no differences between the two groups on Position. Discriminant function analyses to predict time goal performance indicated that 47 (74.6%, participants could be correctly classified into the groups by Time on the basis of Confidence in, and Difficulty of goals. Discriminant function analyses to predict performance in terms of Position indicated 38 participants (60.3%) could be correctly classified on the basis of Confidence in, and Goal Difficulty of goals. The results concur with previous proposals that goals regarding time and position have a differential influence on performance.The official published version of this article can be found at the Publisher link belo

    L'efficacitĂ© des thĂ©rapies Ă©nergĂ©tiques sur la diminution de la douleur chronique d'origine rhumatismale ainsi que sur le bien-ĂȘtre et la qualitĂ© de vie des personnes ĂągĂ©es: travail de Bachelor

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    But : L’objectif de cette revue de littĂ©rature est de dĂ©terminer si les thĂ©rapies Ă©nergĂ©tiques du toucher thĂ©rapeutique, du Healing Touch et du Reiki, complĂ©mentaires aux traitements habituels, ont une efficacitĂ© sur la diminution de l’intensitĂ© de la douleur chronique d'origine rhumatismale afin de prĂ©server le bien-ĂȘtre et la qualitĂ© de vie des personnes ĂągĂ©es. MĂ©thode: Pour rĂ©pondre Ă  la question de recherche, une recherche sur les bases de donnĂ©es CINAHL et PubMed a Ă©tĂ© rĂ©alisĂ©e. Les diffĂ©rents articles ont Ă©tĂ© soumis Ă  divers critĂšres de sĂ©lection. Par la suite, les huit articles sĂ©lectionnĂ©s ont Ă©tĂ© analysĂ©s sous forme de tableaux synthĂ©tiques et discutĂ©s selon les grandes familles identifiĂ©es

    Development of retinal blood vessel segmentation methodology using wavelet transforms for assessment of diabetic retinopathy

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    Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel diameter and patterns in the retina. This paper describes the development of segmentation methodology in the processing of retinal blood vessel images obtained using non-mydriatic colour photography. The methods used include wavelet analysis, supervised classifier probabilities and adaptive threshold procedures, as well as morphology-based techniques. We show highly accurate identification of blood vessels for the purpose of studying changes in the vessel network that can be utilized for detecting blood vessel diameter changes associated with the pathophysiology of diabetes. In conjunction with suitable feature extraction and automated classification methods, our segmentation method could form the basis of a quick and accurate test for diabetic retinopathy, which would have huge benefits in terms of improved access to screening people for risk or presence of diabetes
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