With the rapid development of modernization and the reform and development of quality education, the main direction and goal of vocational colleges in the new era is to cultivate high-level skilled talents required by the times. With the development of globalization and the refined division of labor in industrial technology, the requirements of various industries for high-level skilled talents with the ability to adapt to market development are gradually increasing. This article focuses on exploring and analyzing the demand for hospital imaging technology talents under the rapid development of the new era industry, and discovering the problems in talent cultivation in vocational colleges. In response to the existing problems, actively utilizing college resources and practical opportunities, innovating the college school cooperation mode and teaching methods for imaging technology majors in vocational colleges, and gradually expanding into a standardized, scientific, and developable college cooperation mode for vocational education, Implement the national strategic plan for cultivating quality talents in vocational colleges, focus on doing a good job in the work of "cultivating morality and talents", adhere to the "three education" reform, and improve the quality of talent cultivation.

Orientation: Indeed, the 4th industrial revolution (4IR) has redefined the world of work. A new set of skills needs to be defined and made available to organisations. Human resource management practices now operate in a complex, interconnected, unpredictable, and evolving environment. The question that one needs to answer is: how can HR align its functions to meet the demands of the fourth IR? It is prudent that human resource functions evolve quickly and adapt to changing demands. Research purpose: This paper seeks to unpack the changes that have been brought about by the 4IR and suggest ways in which HR professionals in Lesotho can align with this inevitable era of digitalisation. Motivation for the study: Due to the dynamics and transformations that have been brought about by the 4IR, this study was motivated by the need to understand the effects of the 4IR in small economies on the HR function and offer lessons to embrace change. Research approach: The research was qualitative in nature, and data was collected purposefully from journal articles, newspapers, and book chapters. Content analysis was used for the data analysis. Research findings: The effects of the 4IR through digitalisation disruptions have been felt across all corporate functions, and HR is no exception. It has had a massive influence on both the economy and the labour force and impacted employee roles in terms of health, mobility, working hours, personal life, and general administration. HR leaders play a critical role in ensuring that businesses are able to successfully adopt and deploy new technologies. Contributions: The research unpacks the effects of 4IR and gives practical lessons for HR professionals in Lesotho.

At this stage, network technology is developing rapidly. The resources in the network are massive, and a large number of resources are distributed in a decentralized and heterogeneous manner. With the continuous expansion of the application scope of distributed technology, it can provide effective scheme guidance for resource application. Combined with the current situation of network teaching platform and relevant functional requirements, it is very necessary to apply distributed technology. Taking DFS technology as an example, this paper studies the shared resource management scheme of this technology in network storage, and studies the specific application effect and path of DFS technology in distributed network teaching platform.

To address gaps in practical skills among Public Health and Preventive Medicine graduates, an ‘open collaborative practice teaching model’ integrating medicine, teaching, and research was introduced. A cross-sectional study surveyed 312 Preventive Medicine undergraduates at a Yunnan medical university from 2020 to 2023, utilizing satisfaction scores and analyses (cluster, factor, SWOT) to assess the impact of the reform. Satisfaction scores from baseline, mid-term, and end-term assessments showed minor variations (4.30, 4.29, 4.36), with dissatisfaction primarily related to teaching content and methods. Key influences on satisfaction included teaching content, methods, and effectiveness. The SWOT analysis highlighted the importance of continuously updating teaching strategies to meet changing student expectations. This study suggests that the model has the potential for wider use in enhancing public health education, particularly in regions facing similar challenges.

Data mining technology is a product of the development of the new era. Unlike other similar technologies, data mining technology is mainly committed to solving various application problems, and the main means of solving problems are to use big data technology and machine learning algorithms. Simply put, data mining technology is like panning for gold in the sand, searching for useful information among massive amounts of information. Data mining technology is widely applied in various fields, such as scientific research and business, and also has its shadow in the education industry. Currently, major universities are applying data mining technology to teaching quality evaluation. This article first explains the impact of data mining technology on the education industry, and then specifically discusses the application of data mining technology in the evaluation of teaching quality in universities.