Translation and Psychometric Evaluation of a Chinese Version of the Behavioral Regulation in Sport Questionnaire (BRSQ) with University Sport Athletes.

Our aim in this study was to translate and psychometrically evaluate a Chinese version of the Behavioral Regulation in Sport Questionnaire (BRSQ). Participants were Chinese collegiate athletes (N = 361) who were competitive in their respective sports. We examined the construct validity of the Chinese BRSQ using alternative structural equation models and evaluated convergent validity, factor score reliability, and measurement invariance of the optimal model. Due to insufficient score reliability for some subscales, our initial Chinese BRSQ was deemed problematic. A modified version of the questionnaire with a four-factor structure (amotivation, external regulation, introjected regulation, and autonomous motivation) demonstrated excellent construct validity, convergent validity, and score reliability. There was measurement invariance across athlete level and sex. This tool provides a valuable resource for practitioners and sport psychology researchers for assessing sport motivation among competitive university athletes in China.

Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction.

Table tennis is important and challenging project for robotics research, and table tennis robotics receives a lot of attention from academics. Trajectory tracking and prediction of table tennis is an important technology for table tennis robots, and its estimation accuracy is also disturbed by non-Gaussian noise. In this paper, a novel Kalman filter, called minimum error entropy unscented Kalman filter (MEEUKF), is employed to estimate the motion trajectory of physical model of a table tennis. The simulation results show that the MEEUKF algorithm shows outstanding performance in tracking and predicting the trajectory of table tennis compared to some existing algorithms.