Guangxi, as an important province in southwest China, has had an increasing demand for young scientific and technological talents in recent years driven by policy support and industrial transformation and upgrading. From the perspective of matching policy support and industrial needs, the optimization strategies for cultivating young scientific and technological talents in Guangxi were explored. The current situation of Guangxi's science and technology policies, industrial structure characteristics, and the current situation and dilemma of cultivating young scientific and technological talents were analyzed. Some ways are proposed to achieve talent training, including improving the policy system, optimizing the allocation of educational resources, deepening the integration of industry and education, improving practical ability training, and strengthening incentive mechanisms, in order to realize the effective docking with industrial needs. It is verified the correlation between policy support and talent training effectiveness, and can provided theoretical basis and practical reference for the training of young scientific and technological talents in Guangxi.

Taking the research hotspot of “science and technology boosting rural revitalization” as the research object, the research hotspots and development trends in this field were explored through bibliometric analysis and CiteSpace software. The results show that in recent years, the research enthusiasm for “science and technology boosting rural revitalization” has continued to rise, mainly focusing on four aspects: industrial prosperity, talent revitalization, rural governance, and common prosperity. The research content mainly includes digital countryside, smart agriculture, green agriculture, modern agriculture, rural governance, vocational education, and so on. Meanwhile, emerging fields such as science and technology courtyard, digital economy, and green finance will become the key directions for future research.

Under the background of rapid urbanization and industrialization, the risk of environmental damage to architectural heritage was increasingly exposed. Taking Tianjin as the research area, the advantages of macro and micro scale architectural heritage risk were comprehensively evaluated based on the environmental perspective of urban resilience. The construction heritage vulnerability environmental risk assessment system should be established with flood risk, comprehensive terrain and geological risk, atmospheric environment risk, fire risk, traffic facility risk and architectural heritage value risk as evaluation factors. Based on the past research, the quantitative factors were selected, and the spatial quantitative evaluation of geographic information system was used to screen 18 indicators and carry out correlation analysis. The research results show that the vulnerability areas of architectural heritage are highly concentrated in urban areas, and the influence of human factors is higher than that of natural factors. Generally speaking, the high vulnerability area is mainly concentrated in the peace area, which is distributed nuclear to the six districts in the city. Most of the architectural heritage is located in the six districts of the city, which has a high risk from the perspective of urban resilient environment.

Based on the qualitative research methodology of rootedness theory, 71 typical cases of rural governance were selected as the research basis, and the “subject-institution-technology-industry” practice framework for effective rural governance was extracted. It is found that grassroots organizations have positively driven the construction of rural revitalization by stimulating the vitality of the main body, establishing a sound system, introducing advanced technology and promoting industrial development. The realization of the overall goal of rural revitalization will be influenced by different subjective and objective factors, which will form the process of “reverse shaping” for the realization of effective rural governance in localities. In the practice of rural governance, the “top-down coordination” among multiple governance subjects and the “complementary coordination” among different institutional forms serve as internal driving forces, effectively empowering the implementation of the rural revitalization strategy. The “matching of supply and demand” of talents and technology, and the “internal and external” of the collective economy and social capital, as effective external driving forces for rural governance, have strongly contributed to the realization of rural revitalization.

A comprehensive indicator system for digital economy development was constructed, and provincial-level data from 2011 to 2021 were analyzed to explore the linear and nonlinear effects of digital economy on differently-skilled labor demand, with marketization level examined as a mediating variable in the linear pathway analysis and a random forest model was applied to investigate nonlinear relationships. The results show that the digital economy significantly increases high-skilled labor demand while reducing medium-and low-skilled labor requirements, and through marketization mechanisms, it primarily decreases medium-skilled labor demand and elevates high-skilled labor proportion, with nonlinear analysis revealing that high-skilled demand demonstrates initial marginal growth followed by stabilization, while medium-skilled and low-skilled demand undergoes marginal decline with subsequent low-level adjustments. Sectoral variations are also observed, as the industrial sector exhibits greater demand for high-skilled labor, contrasting with the construction sector. While medium-skilled labor shows higher affinity for service and construction industries, and low-skilled labor remains concentrated in agriculture-related sectors, highlighting the technology-driven skill restructuring effect of digital transformation across industries.

The multi-stage CONWIP system is a production method that combines push and pull strategies, effectively reducing inventory costs while meeting customer demand. Focusing on the number of buffers, buffer locations and buffer capacity sizes in a multi-stage tandem CONWIP system, With the objective of minimizing the sum of buffer establishment costs, semi-finished product inventory costs, work-in-process inventory costs, and finished product stockout costs, a corresponding mathematical model was constructed. The model was solved using a genetic algorithm combined with simulation. The simulation results indicate that the inventory costs of this system are lower than the Kanban system. A new perspective and solution isprovided for addressing buffer design in multi-stage tandem production CONWIP systems.

Aiming at the shortcomings of surface properties of CuW60 tungsten-copper alloy under extreme working conditions, laser modification technology was used to explore its influence on surface roughness and mechanical properties of the alloy. By finely adjusting the laser parameters, the microstructure, composition change of the modified layer and its correlation mechanism with the properties were analyzed. It is found that laser modification can significantly adjust the surface roughness of the alloy and enhance its mechanical properties such as hardness, which provides a new idea and method for improving the comprehensive properties of such materials. These rusults not only enriche the theoretical system of laser surface engineering technology, but also expand the application space of CuW60 tungsten copper alloy in the field of high-end manufacturing.

With the continuous advancement of the digital transformation and upgrading of traditional railways, accurately obtaining information on railway basic components from massive railway line data is of great significance for railway maintenance, management, and safe operation. The difficulty lies in extracting key features of the data in the target area without distortion. The digital technology based on unmanned aerial vehicle (UAV) photogrammetry provides a new way to obtain extensive data on railway basic components. The UAV was equipped with a high-precision camera to acquire image data and graphic data of the basic components along the railway. Based on the comparison of the actual effects of two general methods for segmenting railway basic components from these two types of source data, the graphic data was selected as the segmentation data source, and the segmentation algorithm was improved. The aim is to automatically segment the rail and other railway basic components within the threshold range from the overall railway line data, and an engineering example is used to verify the effectiveness and feasibility of the algorithm.

To improve the efficiency of unmanned ships in completing water quality monitoring in complex working environments, an improved A^* algorithm for global static path planning and an improved A * algorithm combined with artificial potential field method for local dynamic path planning were proposed. Firstly, the obstacles were inflated using a global algorithm, and the A^* algorithm was improved by expanding the node search neighborhood method, so that the search movement direction of the current path point was no longer limited to integer multiples of 45 °. To improve the ability of dynamic path planning, the path points planned by the A^* algorithm were used as local target points in the artificial potential field method. The artificial potential field method was improved by introducing distance factors and escape forces to solve the problem of unreachable targets and easy getting stuck in the minimum value. Finally, the effectiveness of the method was verified using Matlab. The results show that the unmanned ship could smoothly reach and pass through the water quality monitoring point. Compared with the traditional A^* algorithm, the obtained path is smoother and the distance is shorter, effectively improving the efficiency of water quality monitoring.

According to the challenge of monitoring the structural integrity of LNG storage tanks, persistent scatterer interferometric synthetic aperture radar (PS-InSAR) and small baseline subset InSAR (SBAS-InSAR) technologies were employed, sentinel-1A satellite imagery and digital elevation model (DEM) data were utilized to conduct deformation monitoring and stability assessment for an LNG terminal on an island in Guangxi, China. The results reveal three key findings. The maximum settlement occurrs in the LNG platform area in August, 2022, accompanied by slight uplift around the tanks. PS-InSAR detects annual deformation rates of -2.5 to 2 mm/year across 73% of the monitored area, while SBAS-InSAR indicats rates of -3.5 to 3 mm/year in 45% of the region, demonstrating overall deformation stability. Rainfall during the wet season shows a significant positive correlation with deformation magnitudes, where water infiltration increases soil pore pressure (reduced effective stress) and alters foundation bearing capacity, though no hazardous differential settlement is observed. The study demonstrates that radar interferometry enables millimeter-scale deformation monitoring across LNG storage facilities, providing critical technical support for operational safety in coastal areas with complex geological conditions.