Vocational colleges should not only cultivate highly skilled talents, but also improve the comprehensive quality of students. The cultivation of students' comprehensive qualities cannot be separated from the efforts of schools, counselors, and every course teacher. Vocational education is different from undergraduate education, and finding a teaching model suitable for students in vocational colleges is particularly important. The integrated teaching model proposed in this article integrates theory and practice, and the entire teaching process is integrated into curriculum ideological and political education. In order to ensure teaching effectiveness, teachers participate and supervise the entire process, aiming to cultivate students' ability to unite and assist, solve problems, and express language skills, self-learning abilities, etc., so that students can truly become a comprehensive and high-quality talent.

Hospitals belong to public places, and implementing refined management in hospitals is a need for patients. Under party building management, hospitals must manage hospitals in accordance with the party's governing philosophy. In the new era, China's party building management is facing enormous challenges. In order to implement party and government management in the new era, hospitals must strengthen their understanding of party building and further implement refined management at a deeper level.

With the rapid development of China’s economy and society, the reform of talent training mode for business administration has become the most concerned and valued issue in the current teaching work in colleges and universities. From the current situation of undergraduate education curriculum system construction in vocational colleges, the traditional teaching methods of higher English still occupy the majority. The all English bilingual course for the undergraduate major of business administration takes the basic knowledge of language and the theory of natural science as the core content. Therefore, this paper will focus on how to build a perfect talent training mode for business administration majors that meets the actual needs and employment direction of students, and put forward specific teaching strategies in order to provide more application-oriented and professional development platforms for business administration students.

Oil spills (OS) in waters can have major consequences for the ecosystem and adjacent natural resources. Therefore, recognizing the OS spread pattern is crucial for supporting decision-making in disaster management. On 31 March 2018, an OS occurred in Balikpapan Bay, Indonesia, due to a ship’s anchor rupturing a seafloor crude oil petroleum pipe. The purpose of this study is to investigate the propagation of crude OS using coupled three-dimensional (3D) model from DHI MIKE software and remote sensing data from Sentinel-1 SAR (Synthetic Aperture Radar). MIKE3 FM predicts and simulates the 3D sea circulation, while MIKE OS models the path of oil’s fate concentration. The OS model could identify the temporal and spatial distribution of OS concentration in subsurface layers. To validate the model, in situ observations were made of oil stranded on the shore. On 1 April 2018, at 21:50 UTC, Sentinel-1 SAR detected an OS on the sea surface covering 203.40 km². The OS model measures 137.52 km². Both methods resulted in a synergistic OS exposure of 314.23 km². Wind dominantly influenced the OS propagation on the sea surface, as detected by the SAR image, while tidal currents primarily affected the oil movement within the subsurface simulated by the OS model. Thus, the two approaches underscored the importance of synergizing the DHI MIKE model with remote sensing data to comprehensively understand OS distribution in semi-enclosed waters like Balikpapan Bay detected by SAR.

Human settlement patterns in the South are clearly inequitable and dysfunctional, with tenure insecurity remaining a significant issue. Consequently, there has been a dramatic increase in housing demand driven by rising household sizes and accelerated urbanization. Local governments have a clear mandate to ensure socio-economic development and promote democracy, which necessitates ongoing consultations and renegotiations with citizens. This paper critically examines the de-densification of informal settlements as a pivotal strategy to enhance the quality of life for citizens, all while maintaining essential social networks. Governments must take decisive action against pandemics by transforming spaces into liveable settlements that improve livelihoods. A qualitative method was employed, analyzing data drawn from interviews to gain insights into individual views, attitudes, and behaviors regarding the improvement of livelihoods in informal settlements. The study utilized a simple random sampling technique, ensuring that every individual in the population selected had an equal opportunity for inclusion. Semi-structured interviews were conducted with twenty community members in Cornubia, alongside discussions with three officials from eThekwini Municipality and KwaZulu Natal (KZN) Provincial Department of Human Settlements. Data was analyzed using thematic analysis, and the findings hold substantial benefits for the most disadvantaged citizens. Therefore, municipalities have an obligation to transform urban areas by reducing inequality, bolstered by national government policy, to achieve a resilient, safe, and accessible urban future. The evidence presented in this paper underscores that local governments, through municipalities, must prioritize de-densifying informal settlements in response to pandemics or hazards. It is vital to leverage community-driven initiatives and reinforce networks within these communities. The paper calls for the establishment of a socially centered government through the District Development Model (DDM), emphasizing socio-economic transformation as a pathway to enhance community quality of life.

This paper aims to contribute with a literature review on the use of AI for cleaner production throughout industries in the consideration of AI’s advantage within the environment, economy, and society. The survey report based on the analysis of research papers from the recent literature from leading database sources such as Scopus, the Web of Science, IEEE Xplore, Science Direct, Springer Link, and Google Scholar identifies the strategic strengths of AI in optimizing the resources, minimizing the carbon footprint and eradicating wastage with the help of machined learning, neural networks and predictive analytics. AI integration presents vast aspects of environmental gains, including such enhancements as a marked reduction concerning the energy and materials consumed along with enhanced ways of handling the resulting waste. On the economic aspect, AI enhances the processes that lead to better efficiency and lower costs in the market on the other hand, on the social aspect, the application of any AI influences how people are utilized as workers/clients in the community. The following are some of the limitations towards AI adoption as proposed by the review of related literature; The best things that come with AI are yet accompanied by some disadvantages; there are implementation costs, data privacy, as well as system integration that may be a major disadvantage. The review envisages that with the continuation of the AI development in the following years, the optic is going to be the accentuation on the enhancement of the process of feeding the data in real-time mode, IoT connections, and the implementation of the proper ethical approaches toward the AI launching for all segments of the society. The conclusions provide precise suggestions to the people working in the industry to adopt the AI advancements appropriately and at the same time, encourage the lawmakers to create favorable legal environments to enable the ethical uses of AI. This review therefore calls for more targeted partnerships between the academia, industry, and government to harness the full potential of AI for sustainable industrial practices worldwide.