Based on China’s provincial panel data from 2012 to 2022, a provincial-level science and technology finance index system was established and an in-depth analysis of the influence mechanism of science and technology finance on the development of new-quality productive forces was conducted using two-way fixed effects model. The results show that science and technology finance has a significant promoting effect on the development of new-quality productive forces.The improvement of education levels and informatization levels can enhance the effect. Science and technology finance promotes the development of new-quality productive forces by increasing foreign investment and facilitating industrial structure upgrading. Science and technology finance exhibits heterogeneity in its impact on the development of new-quality productive forces in terms of regions, industrial structures, and degrees of openness.

Traditional research on crew scheduling problem is difficult to directly measure the real fatigue of crew when working. Crew fatigue is affected by a variety of real-world factors. A quantitative model of crew fatigue was established to measure the fatigue of the crew’s task loop, and a crew scheduling model was further constructed. Then an algorithm was designed to solve the model based on the column generation framework combined with the dynamic constraint aggregation method. Finally, numerical experiments demonstrate that the algorithm is able to solve the larger-scale crew scheduling problem in a shorter time, and the model established in this paper is able to effectively reduce crew fatigue.

Aiming to explore the influence of different dosages of SBS modifier on the indicators of modified asphalt, through testing the three major indicators, elastic recovery and post-aging indicators of SBS modified asphalt with different dosages, as well as the viscosity and rutting factor of SBS modified asphalt with different dosages at different temperatures, the impact of SBS modifier dosage on the indicators of modified asphalt was analyzed to provide a theoretical basis for the optimized design and application of modified asphalt. The experimental results show that with the increase of SBS dosage, the three major indicators, elastic recovery and ductility of modified asphalt exhibit different changing patterns. The viscosity of modified asphalt first increases significantly and then increases slowly, and the viscosity of modified asphalt reaches the optimum under an appropriate dosage. The rutting factor increases with the increase of SBS modifier dosage, but when the SBS dosage reaches a certain proportion, the rutting factor only increases slightly. This indicates that the pavement performance of modified asphalt does not continuously improve with the increase of modifier dosage. When the modifier dosage increases to a certain extent, the performance of some indicators may reach a peak or decline.

Digital transformation is an important way to enhance enterprise resilience. Taking Shanghai and Shenzhen A-share listed companies as the research object, the data from 2011 to 2021 were selected, and the research findings were found by empirical test. Enterprises’ digital transformation can significantly improve enterprise resilience, and this conclusion is still valid after a variety of robustness and endogenous tests. Among them, innovation efficiency and innovation quality play a part of intermediary role in the impact. In order to better enhance the resilience of enterprises and enable enterprises to achieve sustainable development, enterprises should further strengthen digital construction and attach importance to the improvement of innovation ability.

The tensile and shear properties of porous rock-like materials affect the safety and stability of engineering. In this paper, numerical models with different number of pores were constructed, and the numerical simulation of direct tensile and direct shear tests were carried out by the DEM to explore the influence of the pore number on the tensile and shear characteristics of materials. The results show that the tensile strength, the ratio of compressive strength to tensile strength, cohesion and internal friction angle decrease in different forms with the increase of the pore number. In addition, under tensile action, cracks are mainly formed along the horizontal direction and are not affected by the number of pores. Under shear action, cracks are mainly formed along a certain Angle with the horizontal direction. The increase of the pore number mainly leads to the decrease of the anisotropy of fracture occurrence under shear action.

Due to the lack of sufficient interaction support, the recommendation accuracy is poor. To address this, a sparse data collaborative filtering recommendation algorithm based on knowledge graph was proposed. Extract the interaction relationship between users and items, a knowledge graph was constructed, and the entity relationships in the knowledge graph was used to extend the representation of users and items. Combining CNN networks, interactive relationships was expanded into complex structures, contextual information was captured, and similarity using Euclidean distance was calculate. A set of similar neighbors was found for the target user, user collaboration filtering was used to predict ratings, the fusion time weighting strategy was dynamically adjusted, and a recommendation list was generated. Tests have shown that the algorithm has high NDCG values, low MAE and RMSE values, and ideal recommendation performance.

To enhance the level of safety management in airport clearance zones and ensure safe operations within these areas, an evolutionary game model between airport management authorities and clearance violators was constructed. An in-depth analysis of the strategic choices was provided made by both parties under different scenario conditions and the underlying reasons for these choices was exploreed. Using MATLAB software, a sensitivity analysis of key parameters was conducted, examining the impact of four crucial factors, such as the probability of detecting violations, penalty severity, compliance operation costs, and non-compliance income, on the system’s evolutionary path and outcomes. The results show that increasing the probability of detecting violations and imposing stricter penalties can effectively encourage violators to shift towards compliant strategies. Furthermore, reducing compliance costs and limiting non-compliance income can further decrease the probability of violations occurring.

With the increasing application of high voltage direct current transmission(HVDC) in cross regional transmission of new energy, new energy units at the transmission end may not only suffer from voltage dips and high voltage faults, but also face challenges of low and high voltage disturbances caused by DC commutation failures. In order to accurately analyze the impact of wind farm integration on the power system, a four-machine equivalent method was proposed based on doubly fed induction generator (DFIG) to adapt to multiple types of faults at the DC transmission end. Firstly, the general power curve of wind turbines was modeled for low voltage ride through, high voltage ride through, and continuous low and high voltage ride through in accordance with national standards. Next, the single machines that suffer from multiple types of faults from the cut in wind speed to the cut out wind speed was traversed, and the wind turbines in the wind farm was clustered. Finally, a four-machine equivalence method is proposed based on simulation results.

Under the “dual carbon” goal, the express delivery industry is being subject to green transformation, and circular express packaging comes into being. However, the promotion process and results are not ideal. An evolutionary game model of express delivery companies, couriers and consumers was constructed, aiming to explore the stability and influencing factors of the evolutionary equilibrium of the three parties in the promotion process of circular express packaging, and it was analyzed and verified using Matlab. The results show that government rewards and punishments, spillover benefits of express delivery companies, and reputation changes prompt express delivery companies to promote circular express packaging. The rewards and punishments of express delivery companies and the psychological benefits of couriers promote their active cooperation. Subsidies and rewards from the government and express delivery companies, as well as psychological benefits for consumers, encourage their active participation.

Air freight is an important part of modern transportation logistics system. In recent years, with the continuous development of air freight industry, the freight volume has continued to grow. Therefore, accurate prediction of air freight volume is very important for the development and operation of air transport industry. In order to scientifically predict the air cargo business volume between cities and comprehensively consider the influencing factors such as the level of urban economic development and airport facilities, the grey forecasting model was used to predict the total cargo business volume of airports, and then the comprehensive service capacity score of urban airports and the freight attraction intensity between urban nodes were determined by using principal component analysis and improved gravity model, so as to judge the trend of cargo flow. Finally, the freight volume between urban airports in 2026 was obtained by constructing a combined forecasting model. The results show that China’s air freight business market is in a period of rapid development, and the forecast of freight volume has certain reference value for setting the operating capacity of freight airports and improving the support capacity of logistics facilities.