18 research outputs found

    Inquérito Sobre A Funcionalidade Do Joelho Em Mulheres Praticantes De Bodypum™

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    This study aimed to examine the knee functionality exclusively BODYPUMP ™ practitioners women. 40 women were evaluated. The investigation of knee functionality was through the Cincinatti adapted questionnaire, which varies from 0 to 100 scores, and the closer to 100, more functional knee. In general, women had a median score of 88.5 of knee functionality. It was also found that most women did not have falseio knee (60%) showed no limitation to perform the walk (65%) and stairs (60%). It was observed that 45% of women reported no limitation for the race and, for the jumps and spins; most women did not have limitation (37.5%) or had mild disability (30%). Most women reported that they do not feel pain during the BODYPUMP ™ exercises (52.5%), however, 45% reported pain during the execution of the squat and sink in this mode. There was a significant difference (p> 0.05) in the comparison of the knee of BODYPUMP ™ practitioners women functionality due to the practice time, indicating that women who practice this sport for more than five years had higher scores, ie better knee functionality when compared to women practitioners between three months and one year (p = 0.048). It is concluded that BODYPUMP ™ practitioner's women have good functionality of the knee, considered the highest score of the instrument used.40219920

    Spatial variability of physical and chemical attributes of some forest soils in southeastern of Brazil

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    Capão Bonito forest soils, São Paulo state, Brazil, have been used for forestry purposes for almost one century. Detailed knowledge about the distribution of soil attributes over the landscape is of fundamental importance for proper management of natural resources. The purpose of this study was to identify the variability and spatial dependence of chemical and physical attributes of Capão Bonito forest soils. A large soil database of regional land was raised and organized. Most of the selected variables were close to the lognormal frequency range. Soil texture presented a higher range in the A horizon, and the nugget effect and sill were greater in the B horizon. These differences are attributed to the parent material of the region (Itararé Geologic Formation), which presents uneven distribution of sediments. Chemical attributes related to soil fertility presented a higher spatial dependence range in the B horizon, probably as a result of more intensive management and erosion history of the superficial soil layer. Maps for some attributes were interpolated. These had specific areas of occurrence and a wide distribution along the perimeter of the Capão Bonito District Forest, allowing a future site-specific soil management

    Distribuição e incerteza da acidez de um latossolo vermelho-amarelo húmico sob cultivo de café Distribution and uncertainty of acidity of an oxisol under coffee cultivation

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    Com o desenvolvimento da agricultura, a utilização de novas alternativas na avaliação das propriedades que influenciam o rendimento das plantas tornou-se indispensável para melhor manejar o sistema agrícola. O objetivo deste trabalho foi utilizar uma ponderação por meio da modelagem fuzzy para estudar, com base em atributos químicos do solo, a propagação de incertezas da acidez de um Latossolo Vermelho-Amarelo húmico cultivado com café arábica. As amostragens de solo foram realizadas na profundidade de 0-20 cm, em uma malha totalizando 50 pontos. Os atributos avaliados foram: pH em H2O, acidez trocável (Al3+), acidez potencial (H + Al) e saturação por Al (m). Os dados foram analisados pela estatística descritiva e pela geoestatística. Utilizou-se um sistema de classificação fuzzy e os atributos descritos para inferir sobre a acidez do solo. A lógica fuzzy, pelo algoritmo utilizado, teve um bom desempenho na caracterização e no mapeamento das incertezas da acidez do solo em questão.<br>With the development of agriculture, the use of new tools for the evaluation of the properties related to plant yields have become essential to improve the management of agricultural systems. The purpose of this study was to use a fuzzy model to investigate, based on soil chemical properties, the propagation of uncertainty of the acidity of a humic Red-Yellow Latosol (Oxisol) under Arabic coffee plantation. The soil was sampled at a depth of 0 - 0.2 m, in a grid, totaling 50 sampling points. The following attributes were determined: pH in H2O, exchangeable acidity (Al3+), potential acidity (H + Al) and Al saturation (m). The data were analyzed by descriptive statistics and geostatistics. A fuzzy classification system was used based on the attributes described to infer on the soil acidity. Fuzzy logic, with the algorithm used, was efficient to characterize and map the uncertainties of acidity of the soil under study
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