Objective: To determine whether equine-assisted therapy (hippotherapy) produces alterations in the balance of the elderly. Methods:The sample included 17 older adults who were divided into experimental (7 subjects) and control (10 subjects) groups. Stabilometry data were acquired with a force platform. The Timed Up and Go test (TUG) was used for clinical analysis of seated balance, transfer from a seated to a standing position, walking stability and changes in gait. Sixteen equine-assisted therapy sessions were carried out.Results: Mann-Witney was used to compare the means between groups and no significant differences were found in the analyzed stabilometric parameters. In intragroup comparison with the Wilcoxon test, a significant increase in the variables COPy and Area (p=0.02) was observed. Equine-assisted therapy significantly affected (p=0.04) TUG test means between the experimental and control groups (Mann-Witney). Intragroup TUG test means were also significantly affected (p=0.04) according to the Wilcoxon test. Conclusions:Because senescence tends to normalize stabilometric measures, the number of equine-assisted therapy sessions was insufficient to determine any differences. Nevertheless, the significant improvement in TUG test scores demonstrates that this treatment frequency was a predictor of reduced fall risk in the elderly.Article registered in the Australian New Zealand Clinical Trials Registry (ANZCTR) under number ACTRN12610000534088.Keywords: equine-assisted therapy; postural balance; elderly; physical therapy; rehabilitation. ResumoObjetivo: Verificar se a equoterapia é capaz de produzir alterações no equilíbrio de idosos. Métodos: Desenvolveu-se um estudo experimental controlado. A amostra foi composta de 17 idosos, divididos em grupo experimental (GE), sete sujeitos e grupo controle (GC), dez sujeitos. A aquisição dos dados da estabilometria foi realizada por meio da plataforma de força da marca AMTI (Force Measurement Systems). Para análise clínica do equilíbrio sentado, transferências de sentado para a posição em pé, estabilidade na deambulação e mudanças do curso da marcha, utilizou-se o teste Timed Up and Go (TUG). Foram realizadas 16 sessões de equoterapia. Resultados: Na comparação das médias entre os grupos por meio do teste de Mann-Whitney, não houve diferença significativa nos parâmetros estabilométricos analisados. Já na comparação das médias intragrupo por meio do teste de Wilcoxon, verificou-se aumento significante sobre as variáveis COPy e área (p=0,02). Nas médias entre o GE e o GC, por meio do teste de MannWhitney para análise do teste TUG, verificou-se efeito significante (p=0,04) da equoterapia. Na comparação das médias intragrupo pelo teste de Wilcoxon, verificou-se efeito significante (p=0,04) sobre a variável TUG. Conclusões: A senescência tende a normalizar as medidas estabilométricas, sendo insuficiente, com esse número de sessões de equoterapia, apontar diferenças ligadas a essa intervenção. No entanto, essa frequência de tratamento foi suficiente como preditor...

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Directive-based programming models, such as OpenACC and OpenMP, allow developers to convert a sequential program into a parallel one with minimum human intervention. However, inserting pragmas into production code is a difficult and error-prone task, often requiring familiarity with the target program. This difficulty restricts the ability of developers to annotate code that they have not written themselves. This article provides a suite of compiler-related methods to mitigate this problem. Such techniques rely on symbolic range analysis, a well-known static technique, to achieve two purposes: populate source code with data transfer primitives and to disambiguate pointers that could hinder automatic parallelization due to aliasing. We have materialized our ideas into a tool, DawnCC, which can be used stand-alone or through an online interface. To demonstrate its effectiveness, we show how DawnCC can annotate the programs available in PolyBench without any intervention from users. Such annotations lead to speedups of over 100× in an Nvidia architecture and over 50× in an ARM architecture.

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