By referring to relevant literature, we will deeply study the development of school sports in the early Republic of China, the rise of the New Culture Movement, the advocates and advocates of new culture, actively promote "new sports", and strive to overthrow the dregs of military nationalism education ideas and change the impact of Japanese gymnastics on school sports. With the outbreak of the "May Fourth Movement", the New Culture Movement not only had a greater impact on education and culture, but also accelerated the domestic political game to a certain extent, which ultimately led to the transformation of school physical education and the realization of Pragmatism education. In view of this, this article will start from an overview of the characteristics of school sports in the early Republic of China, focus on the analysis of the impact of the May Fourth New Culture Movement on the transformation of school sports in the early Republic of China, and then explore the incentives for the transformation of school sports under the May Fourth New Culture Movement, hoping to play a certain reference role.

Within the Saudi Arabian banking sector, the quality of work life emerges as a crucial determinant shaping employee performance. This research delves into the nuanced impacts of diverse job quality facets on employee efficacy within this domain. Employing a stratified random sampling methodology, 500 institutions were selected, yielding a 49.6% response rate, or 248 completed surveys, with the active engagement of senior management. Utilizing a quantitative paradigm, the study harnessed descriptive statistics and structural equation modeling (SEM) to elucidate the interplay between job quality dimensions and performance outcomes. The analysis revealed that elements like compensation structures, work-life equilibrium, and growth opportunities substantially influenced employee productivity. In contrast, most job quality facets garnered positive evaluations, and aspects related to wage and compensation exhibited room for enhancement. The research accentuates the imperative of elevating job quality benchmarks within the banking sector to augment employee contentment and performance metrics. This study’s insights advocate for stakeholders and policymakers to champion job quality as a pivotal driver for optimizing organizational effectiveness.

This study applies the multiple streams theory. It will further analyze the internal factors of the confluence of multiple sources, in order to explain why the “Joint Recruitment of Four Universities in Macao” policy has become the agenda of the Macao government. The entrance examination requirements from Macau universities are various. They increase local students’ pressure and consume their energy, thus serving as the source of the Problem Stream. The Policy Stream is represented by the Macau government’s intention to reduce students’ educational burden through establishing a unified assessment system. The Political Stream includes the Macau government’s commitment to improving the Macau education system, such as strengthening the multi-assessment system and the “The Fundamental Law of Non-tertiary Education System”. The convergence of these three sources has opened a policy window for the “Joint Recruitment of Four Universities in Macao” system, leading to a new student evaluation system. This policy not only addresses Macau’s social challenges and improves education governance while also highlighting the city’s educational diversity endeavors. Additionally, the strategies for implementing the “Four-University Joint Examination” policy include reducing the number of exams for students, implementing multi-education and multi-enrollment in higher education institutions, analyzing and improving the examination system based on educational big data, and understanding the basic elements and integration paths of big data in higher education. The Macau government can adjust major settings and enrollment quota allocation in the future, draw in more students from the Community of Portuguese-Speaking Countries and the “Belt and Road” regions, and integrate the joint admission method into the Greater Bay Area education cooperation in order to meet the needs of the growing Macao education industry.

The Electrical Equipment Operation and Control major in vocational schools is mainly aimed at vocational school students or other social individuals who want to learn the electrical equipment operation and control major. However, in the process of education and teaching, due to the relatively weak knowledge foundation of the teaching subjects and limited understanding of professional prospects and future development, the learning process is relatively difficult. Therefore, it is necessary for vocational school teachers to actively adopt more diverse methods in the teaching process of electrical equipment operation and control, and to use these teaching methods to enhance the spirit of model workers Integrating the spirit of labor and craftsmanship into teaching.

Preserving roads involves regularly evaluating government policy through advanced assessments using vehicles with specialized capabilities and high-resolution scanning technology. However, the cost is often not affordable due to a limited budget. Road surface surveys are highly expected to use low-cost tools and methods capable of being carried out comprehensively. This research aims to create a road damage detection application system by identifying and qualifying precisely the type of damage that occurs using a single CNN to detect objects in real time. Especially for the type of pothole, further analysis is to measure the volume or dimensions of the hole with a LiDAR smartphone. The study area is 38 province’s representative area in Indonesia. This research resulted in the iRodd (intelligent-road damage detection) for detection and classification per type of road damage in real-time object detection. Especially for the type of pothole damage, further analysis is carried out to obtain a damage volume calculation model and 3D visualization. The resulting iRodd model contributes in terms of completion (analyzing the parameters needed to be related to the road damage detection process), accuracy (precision), reliability (the level of reliability has high precision and is still within the limits of cost-effective), correct prediction (four-fifths of all positive objects that should be identified), efficient (object detection models strike a good balance between being able to recognize objects with high precision and being able to capture most objects that would otherwise be detected-high sensitivity), meanwhile, in the calculation of pothole volume, where the precision level is established according to the volume error value, comparing the derived data to the reference data with an average error of 5.35% with an RMSE value of 6.47 mm. The advanced iRodd model with LiDAR smartphone devices can present visualization and precision in efficiently calculating the volume of asphalt damage (potholes).