Taking 398 CSSCI literature on ecological governance research in China from 1998 to 2020 by China National Knowledge Infrastructure(CNKI) as the research object, the CiteSpace tool was used to visually analyze the literature characteristics and research hotspots in this field, systematically sort out and explore the hot frontiers and development trends in this field. Research has found that the current average annual publication volume in this field has reached 30 articles, which is the research hotspot with the rapid development in the academic community; The research in this field takes the Chinese Academy of Sciences as the core, and maintains close cooperation with universities or research institutions such as Tianjin University, the Environmental Planning Institute of the Ministry of Ecological Environment and the University of the Chinese Academy of Sciences, forming a relatively wide range of research cooperation groups and some typical institutional cooperation groups. The majority of author collaborations in this field are in groups of 2~4, but a relatively stable core author group has not yet been formed. The research in this field focuses on “ecological environment” as the core hotspot, and the emergence intensity of “environmental governance” “collaborative governance” “restoration governance” and “environmental pollution”is relatively high. Environmental restoration and environmental pollution are the main entry points in this field. The overall trend of research frontiers is from single to comprehensive development, and the hot topics of research include problem analysis and evaluation measurement, exploration of governance measures, and collaborative governance research. The collaborative governance of multiple regional entities and the collaborative governance of regional ecological environment are two important aspects of future research in this field.

The ecologicalization of prefabricated building industry plays an important role in promoting the coordinated development of industrial entities and the diversified transformation of industrial value. Through the analysis of the prefabricated building industry ecosystem, the industrial ecological symbiotic evolution model was established using the Logistic equation, and the growth curve of the model was simulated and fitted using Matlab software. Finally, a case analysis was conducted on the innovation ecosystem of the prefabricated building industry in Changsha. The results show that the symbiotic effect coefficient between each subject reflects the degree of interdependence and the closeness of the cooperative relationship between different subjects. The mutualistic symbiotic evolution model can give full play to the synergy between subjects, and targeted policies are put forward for the symbiotic evolution of the system, providing a reference for the symbiotic development of the prefabricated building industry.

Basing on the relevant indicator data of Fujian Province from 2008 to 2022, the comprehensive development level of cultural and tourism industries was measured. The coupling coordination model was used to explore the evolutionary characteristics of the coupling coordination degree between the two industries. The results show that the coupling and coordination status between the cultural industry and tourism industry in Fujian Province has entered a stage of high-quality coordination from severe imbalance, but it is still in the intermediate coordination stage at present. The obstacles are manifested as the lag of the tourism industry in the early times, afterward as the lag of the cultural industry, and now the lag of the tourism industry. In view of this, suggestions are proposed to establish a cooperation platform for cultural and tourism entities, and to utilize tourism projects for financing innovation, in order to promote the high-quality coupled development of the cultural and tourism industry.

Green finance helps the development of low-carbon economy, which is not only a reflection of actively assuming environmental protection responsibilities and meeting the requirements of national energy conservation and consumption reduction indicators, but also a reflection of adjusting economic structure, improving energy utilization efficiency, and building ecological civilization. Henan Province is a province with large population, agriculture, industry and energy, and is one of the important economic regions in China. Firstly, relevant studies on green finance and low-carbon economy was sorted out, followed by correlation analysis based on historical data of Henan Province, and finally the specific situation of green finance and low-carbon economy development in Henan Province was discussed and analyzed, so as to explore the realization path in line with the current goal of Henan’s green finance to support low-carbon economy transformation.

In the context of digital economy, manufacturing enterprises promote high-quality development through digital transformation and upgrading. However, the single champion enterprises in manufacturing industry are different from large manufacturing enterprises because of their limited resources and lower scientific and technological innovation ability compared with large manufacturing enterprises, so how to achieve high-quality development through digitalization is worthy of in-depth discussion. Starting from the perspective of resource arrangement, “resource combination-resource bundling-resource utilization” was taken as the logical main line, taking 10 individual champion manufacturing enterprises in Shandong Province as the research object, the high-quality development path of individual champion manufacturing enterprises on the basis of field investigation and existing research was analyzed, multi-case analysis and rooted theory were combined, and a construction concept derived from practice for subsequent research is layed.

Hidden danger investigation is a crucial method for ensuring the safety of air traffic control, and the graded assessment of hidden dangers serves as an important basis for their management. Focusing on the hidden dangers associated with air traffic control, a grading model was established based on cloud theory grounded in expert evaluations. In response to the relatively coarse categorization provided by existing regulations regarding hidden dangers, a more precise evaluation framework was developed to enhance the accuracy of assessments. To improve the reliability of these evaluations, a group decision-making approach involving experts was employed for assessing hidden danger levels. Furthermore, to enhance the objectivity of the evaluation process, a cloud model was introduced for quantitative assessment alongside qualitative analyses. Finally, an illustrative example was presented to demonstrate the evaluation procedure. The research findings indicate that the cloud model-based approach exhibits strong feasibility and applicability.

Coastal ocean circulation models have improved dramatically in recent decades, but it is still difficult to obtain sufficient data to constrain and validate simulations. National Oceanic and Atmospheric Administration, hereinafter referred to as NOAA, in cooperation with local fishing vessels, provides a low-cost data observing system that has produced a large number of hourly bottom temperature datasets over a wide area of the US Northeast Continental Shelf over a wide area, generating a large number of hourly bottom temperature datasets. In order to provide a better validation of the coastal ocean circulation model and to help fishermen have a better understanding of the fishing conditions, three existing ocean models were combined and the hourly real-time bottom temperature data was used as a reference to visualize the data from each ocean model and the data from multiple ocean models after Bayesian model averaging, which revealed that the performance of the Bayesian combined model was better. The Bayesian combination model is found to perform better.

The booming live streaming e-commerce has drawn a large number of consumers and businesses to participate. However, research on consumers’ impulse purchase willingness in live streaming is still in its infancy. Based on the SOR theory, from the perspective of consumers’ loss aversion psychology, a structural equation model was developed to analyze and validate the mechanism through which the live e-commerce atmosphere cues affected consumers’ inclination to make impulsive purchases. It is found that the live e-commerce atmosphere cues significantly affect consumers’ perceived risk and anticipated inaction regret. The mediating effect of perceived risk and anticipated regret of inaction is significant when it comes to the influence of live e-commerce atmosphere cues on willingness to make impulse purchases. In the context of live e-commerce, companies can adopt measures such as increasing product discounts, enhancing the visual appeal of the live broadcast room, and activating the atmosphere of the live broadcast room to strengthen the atmosphere cues in the context of live e-commerce, and make full use of consumers’ loss aversion to achieve promotional goals.

Based on the entropy method and the coupling coordination degree model, this paper the coordination degree of economic and water and land resources in Inner Mongolia Autonomous Region was calculated. It is found that the overall economic composite index of each banner county in Inner Mongolia shows an upward trend of varying degrees from 1990 to 2018, but there is spatial imbalance and increasing gap in regional economic development. The natural resources index shows an upward trend, but the increase is small, and the spatial difference of natural resources is relatively large and shows an increasing trend. Since 2005, the coordination degree of Inner Mongolia has shown an N-shape, indicating that the coordination between economic development and water and land resources has a positive trend.

With the continuous development of civil aviation in China, research on the competence of flight dispatchers has demonstrated significant value. Based on the analysis of domestic and foreign literature and work practice, a competency evaluation index system for flight dispatchers was innovatively established, which included 8 primary indicators and 36 secondary indicators, with reference to the observable behavior proposed by the International Civil Aviation Organization. The combination weighting and cloud model, including G1 method and entropy weight method, were used for instance evaluation. The results show that the established indicator system can comprehensively and effectively evaluate the competency characteristics of flight dispatchers, which is scientific and reasonable.