Double-leg repeated jumping tasks are commonly used as measures of lower limb stiffness in exercise science research. Within similar stiffness calculations, variation in data-reduction criteria exists. The impact of these varied data-reduction methods on stiffness measures is unknown. Sixteen adolescent female participants from varied physical activity backgrounds performed 15 self-paced, bent-knee continuous jumps (CJb) on two force plates. Leg stiffness was calculated as the ratio of the peak force and the centre of mass displacement for each contact. Using combinations of criteria based on previous literature, 83 data-reduction methods were applied to the raw data. Data reduction suitability was assessed based on intra-trial reliability, the number of participants excluded and the average contacts excluded. Four data-reduction methods were deemed suitable for use with adolescent female populations, with three consecutive contacts within 1 SD of the average jump frequency considered optimal. The average individual stiffness values were not greatly influenced by the data-reduction method; however, for a single participant, a stiffness change of up to 6 kN · m(-1) (30%) was observed. The role and potential impact of data-reduction methods used to evaluate measures of lower limb stiffness during repeated jumping tasks warrants consideration.
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Sci Total Environ
December 2024
Department of Mathematics and Statistics, Mississippi State University, Mississippi State, MS, USA. Electronic address:
Evaluating the performance of service organizations like Water and Sewerage companies is essential for optimal operations, high-quality service, and cost efficiency. This paper introduces a model using data envelopment analysis (DEA) to assess the efficiency of operational units within such companies. The selection of key performance indicators is complicated by the numerous inputs and outputs, each affecting systems and activities differently.
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Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.
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Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems Ulster University, Magee campus Derry∼Londonderry Northern Ireland UK.
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View Article and Find Full Text PDFmedRxiv
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