THE RELATIONSHIP BETWEEN HAMSTRING INJURY RISK SCREENING TESTS AND LOWER LIMB BIOMECHANICS DURING SPRINT

The purpose of this study was to explore the relationship between hamstring injury risk screening test scores and lower limb biomechanical characteristics during sprint, and to select more appropriate screening tests from the perspective of biomechanics. Soccer players(n=18) experienced three kinds of hamstring injury screening tests(Nordic hamstring test, ultrasound test, straight-leg-raising test) and collected kinematics data and dynamics data of the lower extremities during sprint. The result of the Nordic Hamstring Test was significantly positively correlated with the peak force of semimembranosus muscle, semitendinosus muscle and biceps femoris long head during sprint (

Determinants and Effects of User Delight with Theme Park Apps

The rise of mobile apps intended to enhance the customer experience has prompted theme park operators to implement theme park apps with which to improve their relationships with visitors. The value of user delight in theme park apps has attracted considerable attention. To develop a delightful theme park app, however, theme park operators require a more detailed understanding of how they can optimize the impacts of theme park apps. By conducting an empirical study of 204 users of theme park apps through an online survey, this study found that delight has substantial impacts on users’ continuance intention, recommendation, offering feedback, and revisit intention regarding theme parks. Additionally, delight is determined by entertainment, aesthetic design, and achievement-related gamification. This study contributes to the literature on delight in the context of theme park apps and offers practical implications for theme park app designers and operators

Hypergeometric series, truncated hypergeometric series, and Gaussian hypergeometric functions

In this paper, we investigate the relationships among hypergeometric series, truncated hypergeometric series, and Gaussian hypergeometric functions through some families of `hypergeometric' algebraic varieties that are higher dimensional analogues of Legendre curves.Comment: 25 page

Test Generation Algorithm Based on SVM with compressing Sample Space Methods

Test generation algorithm based on the SVM (support vector machine) generates test signals derived from the sample space of the output responses of the analog DUT. When the responses of the normal circuits are similar to those of the faulty circuits (i.e., the latter have only small parametric faults), the sample space is mixed and traditional algorithms have difficulty distinguishing the two groups. However, the SVM provides an effective result. The sample space contains redundant data, because successive impulse-response samples may get quite close. The redundancy will waste the needless computational load. So we propose three difference methods to compress the sample space. The compressing sample space methods are Equidistant compressional method, k-nearest neighbors method and maximal difference method. Numerical experiments prove that maximal difference method can ensure the precision of the test generation