With the development of information technology, digital economy, as a new economic growth point, profoundly affects the global industrial layout and development direction. The connotation and measurement of industrial structure transformation and upgrading in the context of digital economy were discussed, the main dilemmas faced in the process of promoting industrial structure upgrading by digital economy was analyzed, and the main paths of digital economy-driven industrial structure upgrading was summarized, including promoting technological upgrading and innovation, strengthening financial support and deepening, optimizing the allocation of talents and resources, perfecting the policy and market guidance, as well as implementing differentiated industrial policy.

Scenario marketing has become a new business model for enterprises to link consumers and improve performance in the era of Internet of Things, and it is of great significance to explore its influence mechanism. Based on the TOE framework, an analytical model of scenario marketing from the three dimensions of technology, organisation and environment was constructed, and fsQCA was applied to analyze 189 pieces of research data. The results show that a single antecedent condition is hardly necessary for high performance of enterprise scenario marketing. There are three driving paths for high performance of enterprise scenario marketing, technology-enabled innovative, environment-perception-sensitive, and digital capability-driven. This study reveals the multiple drivers and complex synergistic effects of high performance in enterprise scenario marketing, which provides useful insights for enterprises to achieve high performance through scenario marketing.

To ensure the flight safety of the airport, on the basis of the Technical Standards for Civil Airport Flight Areas, considering the relevant definition of the obstacle and the requirements for the size and slope of the obstacle limit surface where the flight zone grade index I is 4, Auto CAD was used to draw out the airport clearance plane graphics. The files were imported into the GIS system, the allowable height of each obstacle limit surface was calculated, different obstacle restriction surfaces was constructed, the 3 D clearance model of the civil airport was established. The obstacle layer with the restricted surface layer is superimposed to make information query on the obstacles, and get which limit surface the obstacle is located and whether the limit surface is exceeded.

Taking the distribution of medical institutions in the main urban area of Fuzhou City as the research object, the medical resources in the main urban area were divided into five categories, based on the Point of Interest(POI) data of various medical resources, and using geospatial analysis methods such as kernel density estimation, standard deviation ellipse and geographic detector, the spatial pattern and influencing factors of medical resources in the main urban area of Fuzhou City were analyzed. The conclusions are as follows. The medical resources in the main urban area of Fuzhou are significantly clustered, with the strongest clustering effect in healthcare; At the same time, the distribution of medical resources in the central urban area is uneven, with an overall trend of northwest southeast, and there are significantly fewer medical resources at the boundaries of the urban area. The overall center of medical resources in Fuzhou urban area shifted from that of various types of centers, and there were differences in the degree of center deviation in different medical institutions, and the direction of clinics was the most significant. The spatial heterogeneity of the number of medical institutions in the main urban area is affected by factors such as economy, population, and government support, among which the proportion of the population aged 15~59, 60 and above, and the proportion of government health expenditure have the greatest impact. The distribution of medical resources in Fuzhou is affected by the interaction of multiple factors, and the interaction of each driving factor has a more significant driving effect on the spatial differentiation of resource quantity.

A multi-objective hybrid optimization algorithm framework was proposed for the vehicle routing problem with time windows (VRPTW) at airport terminals, based on genetic algorithm (GA), simulated annealing (SA) and adaptive large neighborhood search (ALNS). Aiming to minimize both vehicle dispatch costs and time window penalty costs, the impact of resource sharing at cargo centers was considered. Through the use of K-means clustering, simulated annealing for optimizing the order of site visits, and genetic algorithm for classifying freight point cargo levels, the algorithm efficiently solving the problem was achieved. Experimental results show that the algorithm reduces the total cost of the cargo center by 12.46%, demonstrating the effectiveness and practicality of the model.

Taking into account the fairness concerns of influencers, the decision-making in a livestreaming e-commerce supply chain was investigated. Three decision-making models were established under different power structures to explore how influencers’ fairness concerns and variations in power structures affect the decisions and profits of supply chain members. The findings reveal that when influencers lead or both parties have equal power, the livestream price and profit of both the brand and influencer decrease as the fairness concern coefficient increases. Under equal power, as the influencer’s market expansion coefficient increases, the prices and profits of both the influencer and the brand increase. When the commission rate is high, the profits of both the brand and the influencer increase with the growth of the redirection rate. When the influencer leads, both parties achieve the highest profits.

To address the challenge of quantitatively assessing the effectiveness of online training for insurance professionals, a multidimensional scoring method based on natural language processing and machine learning technology is proposed. Initially, a multidimensional scoring framework is devised to precisely capture and quantify pivotal metrics throughout the training process. Subsequently, a two-tiered dynamic weight allocation strategy is introduced, facilitating a comprehensive evaluation of trainees’ effectiveness through the intelligent integration of these multifaceted indicators. The experimental results show that this method closely emulates expert evaluation, guaranteeing the objectivity and precision of assessment outcomes, ultimately enhancing the effectiveness of online training for insurance practitioners.

In recent years, live broadcasting, as an emerging brand promotion method, has been widely used in news, legal, medical and other industries. Tobacco and other advertising-restricted industries have made a lot of exploration for the application of live broadcast technology in brand promotion and marketing. Two common live broadcasting solutions were analyzed and compared, an enterprise intranet live broadcasting solution was proposed based on collaborative mechanism, focusing on the design, development and application of the multi-point collaborative live interactive management system.

With the drastic increase of urban population, urbanization rate continues to rise, coupled with the river valley terrain on the urban development of the limitations, Lanzhou City urban traffic congestion situation is intensified. In order to alleviate the pressure of urban traffic, efficient and low-consumption rail transit has been on the stage of Lanzhou city construction. Under the influence of rail transit construction, urban commercial space is bound to change. Combed through the problems of Lanzhou city business and the construction history of rail transit, the construction history of Line 1 and Line 2 was taken as the time line, the law of the impact of rail transit construction on Lanzhou city business space was summarized, and the changes of Lanzhou city business space in the future under the continued improvement of rail transit were predicted.

In order to provide references and suggestions for the future development and improvement of public health emergency management policies, the existing public health emergency management related policy texts in a multi-dimensional way was analyzed, and text mining was conducted on the policy texts related to public health emergency management issued at the national level in China from 2003 to 2023, and typical policy samples were selected to construct a PMC index evaluation model for public health emergency management policies. The evaluation system of PMC index model consists of 10 first-level variables and 38 second-level variables, and there exist 3 grades of policies as a whole, 1 qualified policy, 10 good policies, and 4 excellent policies. At this stage, the emergency management policy system for public health emergencies is basically perfect, but it still needs to be continuously optimized and improved in the future. It is recommended to reasonably divide the policy time limit, build a multifaceted and coordinated emergency management mechanism, and accurately implement policies in order to realize the all-round and precise management of public health emergency management.