Abstract: With the deepening of vocational education reform in China, the comprehensive implementation of the unified textbooks for "Ideological and Political Education", "Chinese Language", and "History" (hereinafter referred to as the "New Three Subjects") has infused new contemporary connotations into curriculum teaching in technical colleges. As a crucial vehicle for cultivating students' humanistic literacy and core vocational competencies, how to leverage the educational philosophy and content system of the New Three Subjects textbooks to transcend the limitations of traditional single-text teaching has become a key issue in current teaching reforms. The "Thematic Teaching" model, characterized by its integrative, practical, and vocational features, provides an effective pathway for technical colleges to achieve the fundamental task of "moral education and talent cultivation" while organically integrating vocational education characteristics. This paper explores the construction logic and implementation strategies of the "Thematic Teaching" model through the practice of Chinese language teaching at a technical college, and validates its teaching effectiveness through empirical analysis.

Abstract: With the deep integration of next-generation information technology into education, Chinese language instruction in technical colleges is experiencing unprecedented transformation opportunities. Micro-lectures, as a fragmented and precise teaching medium, demonstrate unique advantages in enhancing instructional efficiency and stimulating students' learning motivation. This paper explores innovative design strategies and practical implementation pathways for micro-lectures from the perspective of technology empowerment, while addressing the specific characteristics and needs of Chinese language teaching in technical colleges. Through empirical analysis, the effectiveness of these approaches is validated to provide actionable references for educational reform in Chinese language education at technical institutions.

Abstract: Against the backdrop of global ecological constraints and the deep-rooted concept of green development, the green transformation of the tourism industry has become a core issue for high-quality development. The coordinated adaptation between tourism management and the operational management of ecotourism enterprises is the key path to resolving the contradiction between "scale expansion and ecological constraints" in the industry. This paper focuses on the core proposition of the coupling mechanism between the two, using literature review, questionnaire surveys, and structural equation modeling to systematically explore the logical framework, empirical effects, and optimization paths of their coupling under the concept of green development. The study constructs a four-dimensional coupling analysis framework of "resources-products-management-benefits," quantitatively examining the positive impact of the green level of tourism management, the green level of enterprise operations, and the policy-market-technology driving factors on coupling degree. The coupling degree significantly enhances the economic, ecological, and social benefits of the tourism industry. The innovation of this study lies in improving the theoretical system of the synergy between tourism management and enterprise operations, providing large-sample empirical support, and proposing subject-specific optimization strategies to offer theoretical references and practical guidance for the green upgrading of the tourism industry.

Abstract: With the deepening of higher education reform and the advancement of innovation-driven development strategies, scientific and technological innovation activities among college students have become a crucial platform for cultivating innovative talents. However, contemporary students face multiple challenges including academic pressure and competitive anxiety, with learning burnout increasingly becoming prominent, significantly impacting their academic performance and mental health. This study, grounded in the social support theory of educational psychology, explores the mitigating effects and mechanisms of team collaboration in scientific and technological innovation activities on learning burnout. The findings reveal that collaborative innovation teams provide emotional, informational, instrumental, and evaluative support. By fulfilling students' need for belongingness, enhancing self-efficacy, optimizing learning motivation, and regulating emotional states, these teams effectively alleviate learning burnout. Finally, optimization strategies are proposed from perspectives of team building, institutional safeguards, and teacher guidance, offering references for universities to improve talent cultivation quality.

As a major national development strategy, the Rural Revitalization Strategy explicitly proposes to "promote the revitalization of rural industries, talents, culture, ecology, and organizations." The rural cultural and tourism industry, as a comprehensive sector integrating primary, secondary, and tertiary industries, serves as a key vehicle for activating rural economic vitality, inheriting rural culture, and promoting the return of talents. In recent years, China's rural cultural and tourism industry has shown rapid development. In 2023, the number of rural tourism visitors nationwide reached 4.7 billion, accounting for 58.3% of the total domestic tourism visits, with total rural tourism revenue reaching 3.2 trillion yuan, making it an important engine for rural economic growth. However, the development of the rural cultural and tourism industry also faces many bottlenecks: on one hand, rural cultural and tourism enterprises generally suffer from shortages of management talents, crude business models, and severe product homogenization[1]. According to research data from the China Tourism Association, 72% of rural cultural and tourism enterprises consider "insufficient professional management talents" as the primary factor constraining their development. On the other hand, tourism management education is out of sync with the needs of the rural cultural and tourism industry. University tourism management programs tend to focus on general knowledge, with insufficient integration of local rural cultural and tourism resources, making it difficult for graduates to quickly adapt to the actual job requirements of rural cultural and tourism enterprises.

Abstract: This study investigates the effects of science and technology innovation project-driven teaching on college students' achievement goal orientation and learning satisfaction based on educational psychology theories. Through questionnaire surveys and statistical analysis, the results show that this teaching approach significantly predicts learning satisfaction (β=0.536) and mastery goal orientation (β=0.528, p<0.001). When incorporating mastery goal orientation, its predictive effect on learning satisfaction remains significant (β=0.274, p<0.001), while mastery goal orientation itself positively predicts learning satisfaction (β=0.472, p<0.001), indicating a possible mediating role between these two factors. The research demonstrates that science and technology innovation project-driven teaching not only directly enhances learning satisfaction and promotes mastery goal orientation formation, but also indirectly influences learning satisfaction through its impact on mastery goal orientation. This provides theoretical and practical foundations for university teaching reforms and improving student learning experiences.

Abstract: Objective: To investigate the effects of Sirtuin-1 (Sirt1)/Runt-related transcription factor 2 (Runx2) signaling pathway on the healing of tibial fracture in rats. Methods: Rat models of tibial fracture were established and hen divide d into fracture group (Fra group) and resveratrol treatment group (RES group). Next, the healing of fracture was exami ned by X-ray inspection. Bone marrow mesenchymal stem cells (BMSCs) were isolated from rats and cultured in vitro. Results: Rat models of tibial fracture were successfully established, and BMSCs were isolated and cultured.RES pro moted the healing of fracture in rats and the gene expressions of Sirt1 and Runx2 at fracture ends and in osteobla sts induced in vitro. According to alizarin red staining assay, RES facilitated the osteogenic differentiation of BMSCs , while EX-527 inhibited their osteogenic differentiation. QRT-PCR results revealed that the messenger ribonuc leic acid (mRNA) expressions of Sirt1 and Runx2 at tibial fractures at 24 h after fracture were significantly higher than th ose in sham group, and they were the highest in RES group. In addition, the mRNA expression levels of Sirt1 and Runx 2 were overtly higher in induction group and RES co-induction group than those in control group, whereas the indu ction with EX 527 evidently inhibited the mRNA expressions of Sirt1 and Runx2 at 2 w and 3 w. At 3 w after oste ogenic induction of BMSCs, both induction group and RES co-induction group had significantly increased protein exp ression levels of Sirt1 and Runx2. Conclusions: The Sirt1/Runx2 signaling pathway facilitates the healing of tibial fra cture in rats.

Abstract:With the widespread application of Fully Automatic Operation (FAO) systems in urban rail transit, passenger flow control has become a key factor in ensuring their efficient and safe operation. This paper delves into the challenges of passenger flow control in FAO systems by leveraging deep learning technologies. It constructs deep learning models, integrates multi - source data, designs intelligent control strategies, and proposes an efficient intelligent passenger flow control scheme. The aim is to help improve the service quality and operational efficiency of the system and promote the sustainable development of urban rail transit.

Abstract：With the global explosive growth of urban rail transit, urban rail transit tunnels (core transit arteries) have become more complex and lengthy, facing rising safety risks from natural factors, mechanical wear, and corrosion. Traditional monitoring methods (manual inspections, basic fixed-point sensors) are inefficient, narrowly covered, and low in data accuracy, failing to meet modern safety needs. This study develops an intelligent safety monitoring system for such tunnels using IoT and Big Data. It designs core components: IoT sensor networks, Big Data management, and machine learning-based safety assessment algorithms. A Shanghai case study shows the system detected minor structural displacements (0.5–1.5 mm) and abnormal gas concentrations, cutting unplanned disruptions by ~30%. It also establishes evaluation indicators and proposes optimizations (5G, edge computing), addressing traditional monitoring shortcomings.

Abstract:With the intensification of global climate change, extreme rainfall events are occurring more frequently. Due to their unique geographical location and climatic conditions, coastal cities have become high-risk areas for waterlogging disasters. Beihai City in Guangxi, a significant coastal tourist destination in Southern China, faces multiple pressures including typhoon-induced rainstorms, storm surges, sea-level rise, and urban surface hardening, making its waterlogging problem increasingly prominent and severely constraining its sustainable development and public safety. This paper takes Beihai City as a case study. It begins by deeply analyzing the specific causes of its waterlogging issues, including the 胁迫 of extreme weather under climate change, the inherent vulnerability of its coastal geographical environment, the hydrological effects of rapid urbanization, and the capacity shortcomings of the existing drainage system. Based on this analysis, the paper proposes the construction of a comprehensive governance system characterized by "Ecology as the Foundation, Grey-Green Combination, Smart Empowerment, and Multi-level Resilience". This system integrates multiple strategies such as Sponge City initiatives (green infrastructure), upgrades to traditional grey infrastructure, smart water management, and Nature-based Solutions (NbS). Finally, tailored to Beihai's specific context, the paper proposes a phased and actionable implementation path alongside policy recommendations, aiming to provide theoretical reference and practical paradigms for similar coastal cities in China to address climate risks and enhance waterlogging prevention capacity.

Abstract:This paper comprehensively explores the profound impact of artificial intelligence (AI) on the automotive industry. By analyzing various aspects such as manufacturing, driving experience, mobility, and future trends, it reveals how AI is revolutionizing the automotive sector. AI has enabled smart factories, improved vehicle safety and user experience, and transformed mobility patterns. However, challenges like job displacement and safety concerns need to be addressed. Despite these, the potential benefits are immense, and with continuous technological evolution, AI will drive more innovation in the automotive industry.

Abstract：Due to the complex geological conditions, enclosed construction environment, and intensive technical links involved, tunnel engineering faces numerous uncertain risks during the construction phase, which may easily lead to safety accidents, construction delays, and economic losses. Focusing on risk management in tunnel construction, this paper systematically sorts out the classification and characteristics of construction risks, and constructs a full-process management framework covering "risk identification, assessment, response, and monitoring". Combined with engineering cases, it analyzes the specific manifestations of geological risks, technical risks, management risks, and environmental risks, introduces the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation Method to establish a risk assessment model, and proposes targeted risk response strategies and dynamic monitoring schemes. The research shows that a scientific risk management system can effectively reduce the probability of risks in tunnel construction, ensure the safe and efficient progress of the project, and provide a reference for risk management in similar tunnel engineering construction.

Abstract：Metro station tunnel groups are often characterized by dense intersection layouts, which introduce unique challenges such as intricate stress distributions, difficult construction operations, and heightened vulnerability to safety hazards. To address these issues, this study takes the tunnel group of Nanning Qingxiushan Metro Station as a case study, establishing a three-dimensional numerical model that is calibrated with on-site monitoring data. The research focuses on investigating the mechanical response mechanisms of the tunnel group during construction, including surrounding rock deformation patterns, stress evolution laws, and plastic zone development characteristics. Special emphasis is placed on analyzing the dynamic mechanical behavior of the left-line tunnel during its connection with the cross-passage. The results indicate that the tunnel structure is significantly affected by the eccentric load from the upper foundation pit: the surrounding rock at the intersection of the tunnel on the eccentrically loaded side exhibits substantially larger displacement and stress compared to the non-eccentrically loaded side. Additionally, the excavation of the cross-passage induces significant disturbance to the intersection area, resulting in concentrated plastic strain. When the left-line tunnel is breached to connect with the cross-passage, tensile stress is generated at the vault of the breached lining, and severe stress concentration occurs at the arch shoulder and arch foot. The implementation of targeted deformation control measures is proven effective in ensuring the structural stability of the tunnel group. This research provides technical support for the design and construction of similar metro tunnel group intersection projects.

Abstract:Against the background of globalization and the deepening exchange of higher education concepts, Ideological and Political Education (IPE) in Chinese universities and Civic Education (CE) in foreign universities, as two important educational practices oriented to cultivating "qualified social members", show obvious differences in educational logic and practical paths due to the influence of cultural traditions, social systems and educational goals. This study adopts a cross-cultural research perspective, combines literature analysis and comparative research methods, and takes representative universities in China, the United States, Germany and the United Kingdom as research cases. It first clarifies the core connotation of the educational logic of Chinese university IPE and foreign university CE, then combs their typical practical paths, and finally summarizes the similarities and differences between the two educational models and their mutual enlightenment. The research finds that Chinese university IPE takes "cultivating socialist builders and successors" as the core logic, with distinct value guidance and systematic practice support; foreign university CE focuses on "shaping citizens’ political literacy and public participation ability", with obvious emphasis on individual autonomy and diversified practice carriers. The cross-cultural comparison of the two not only helps to promote the international exchange of higher education value education experience, but also provides a reference for the optimization of the localization practice of Chinese university IPE and the innovation of foreign university CE.

Abstract:With the advancement of the "China Education Modernization 2035" strategy, artificial intelligence has become the core driving force for the transformation of higher education. This article systematically analyzes the internal mechanism and practical path of empowering university teaching reform with artificial intelligence, reveals the current challenges faced, and proposes corresponding governance strategies. Research shows that reform can be promoted from three aspects: developing specialized intelligent tools for disciplines and enhancing technological adaptability; Establish data governance standards to prevent ethical risks; Adhere to a student-centered approach and balance the application of technology with the essence of education. This study provides a theoretical framework and practical path for the reform of university teaching in the era of artificial intelligence, which is of great significance for promoting the high-quality development of higher education.