Currently, the development of mobile learning and resource sharing models for higher education, along with the application of 5G and other mobile communication technologies to education, hold significant scientific value. These models will help improve the speed and efficiency of retrieving learning resources for higher education while also organizing and managing learning resources more effectively. The complementarity and growth of mobile learning technology for traditional online learning technology are the major features that this research combines. This research builds a mobile learning and resource sharing mode for higher education based on 5G mobile communication technology, utilizing the Moodle online teaching platform. It also designs and implements a mobile learning model, as well as the system architecture, functional modules, learning mode, and learning process. Ultimately, the system model's primary functional modules are put into practice and put through testing. encouraging mobile learning to assist in a variety of ways in the teaching field. The test probability value P (siq)=0.00, which is significantly less than the significant level of 0.05, and the overall accuracy rate of 74.7% indicate that the AKAZE algorithm is utilized to optimize the model, according to the experimental results. As a result, we think that using a mobile learning instructional design mode will benefit students' academic achievement.
Abstract Sprint interval training (SIT) is a potent exercise strategy to enhance athletes' anaerobic capacity in a time-efficient manner. This study aimed to investigate the impact of low-volume, court-based SIT on the anaerobic capacity and sport-specific performance in competitive tennis players. Twenty-four competitive collegiate tennis players were randomly assigned to either the SIT group (n=12; three sessions per week of court-based repeated-sprint training) or the traditional endurance training (ET) group (n=12; three sessions per week of 45-min continuous treadmill running, n=12) for a 6-week intervention. Baseline and post-intervention assessments included the Wingate Anaerobic Test, elimination rate of blood lactate (BLAer), tennis-specific repeated sprint ability (RSA), and the Yo-Yo Intermittent Recovery Test Level 2 (YoYo-IR2). The results showed that SIT group demonstrated significant improvements in peak and average power during the Wingate test (p=0.07; p<0.001), along with a notable increase in YoYo-IR2 performance (7.8% increase, p=0.04). Significant decreases were observed in both mean (5.1% decrease, p=0.02) and sum RSA time (5.2% decrease, p=0.02) in the tennis-specific RSA assessments. Additionally, the SIT group showed significantly higher effective training time and TRIMP in the 90–100% HRmax zone compared to the ET group (p<0.01). This study underscores the potential benefits of low-volume, court-based SIT in enhancing anaerobic capacity and sport-specific performance in competitive tennis players, in comparison to traditional ET.
In order to solve the problem that the basic Harris hawks optimization (HHO) is easy to fall into local optimum and the convergence accuracy is low, an innovative digital technology design of HHO (improved Harris hawks optimization, IHHO) is proposed. In the initial population stage, elite reverse learning is integrated into the design to improve the quality of the population and improve the global optimization performance of the algorithm; in the mining stage, the adaptive weight factor is added to update the local position to improve the local mining ability. By solving high-dimensional test functions to conduct digital technology inspection, the experimental results show that the IHHO algorithm combining the two strategies has better optimization accuracy and stability.
In order to solve the problems of the basic Harris hawks optimization (HHO) that are easy to fall into local optimization and low convergence accuracy, a multi-strategy optimization Harris hawks optimization (MHHO) is proposed.In the exploration stage, the Cauchy distribution function is introduced to mutate the global position which increases population diversity.In the transition stage, the random contraction exponential function is used to nonlinear the energy equation in order to coordinate global exploration and local mining effectively.In the mining stage, the adaptiveweight factor updates the local position and elevates the local mining capacity.By solving multiple single peak, multi peak and high-dimensional test functions, the results show that the MHHO algorithm combining the three strategies has better optimization accuracy and stability.
Sprint interval training (SIT) is a potent exercise strategy to enhance athletes' anaerobic capacity in a time-efficient manner. This study aimed to investigate the impact of low-volume, court-based SIT on the anaerobic capacity and sport-specific performance in competitive tennis players. Twenty-four competitive collegiate tennis players were randomly assigned to either the SIT group (n = 12; three sessions per week of court-based repeated-sprint training) or the traditional endurance training (ET) group (n = 12; three sessions per week of 45-min continuous treadmill running, n = 12) for a 6-weeks intervention. Baseline and post-intervention assessments included the Wingate Anaerobic Test, elimination rate of blood lactate (BLAer), tennis-specific repeated sprint ability (RSA), and the Yo-Yo Intermittent Recovery Test Level 2 (YoYo-IR2). The results showed that SIT group demonstrated significant improvements in peak and average power during the Wingate test (p = 0.07; p < 0.001), along with a notable increase in YoYo-IR2 performance (7.8% increase, p = 0.04). Significant decreases were observed in both mean (5.1% decrease, p = 0.02) and sum RSA time (5.2% decrease, p = 0.02) in the tennis-specific RSA assessments. Additionally, the SIT group showed significantly higher effective training time and TRIMP in the 90-100% HRmax zone compared to the ET group (p < 0.01). This study underscores the potential benefits of low-volume, court-based SIT in enhancing anaerobic capacity and sport-specific performance in competitive tennis players, in comparison to traditional ET.
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