Abstract:The use of the internet to commit non-contact indecent acts against children is a concealed form of crime emerging alongside the development of information technology. Currently, judicial interpretations in China have provided a preliminary definition of such acts, laying a fundamental basis for their criminal determination. However, due to the characteristics of this type of act—including non-contact, cross-temporal and cross-spatial nature, and high concealment—judicial practice still faces difficulties in determination at multiple levels. These difficulties include ambiguity in the types and boundaries of objective acts, challenges in proving the perpetrator’s subjective intent, and unclear application standards for aggravating circumstances such as “assembling a crowd” and “committing the act in public places in the presence of others”. To enhance the consistency and operability of judicial decisions, it is necessary to further clarify the types and boundaries of objective acts, establish more targeted rules for inferring subjective intent, and provide interpretations of aggravating circumstances that align with the online context. By doing so, the determination system for this type of crime can be systematically improved, offering clear and reasonable grounds for judgment in judicial practice.

Abstract: With the acceleration of urbanization, the subway has become the backbone of public transportation in large cities. However, the continuously growing passenger flow poses severe challenges to subway operational safety. This paper aims to systematically analyze the intrinsic correlation between subway passenger flow and operational safety. Firstly, it elaborates on the basic connotations of subway safety and the main characteristics of large passenger flows. Secondly, it delves into the multifaceted impacts of large passenger flows on subway safety, including increased loads on facilities and equipment, induced passenger behavior risks, heightened complexity in passenger flow organization, and amplified difficulties in emergency management. Based on this, the paper proposes a set of systematic safety management countermeasures for large subway passenger flows from five dimensions: monitoring and early warning, facility planning, operational management, technological application, and public education. Research indicates a significant nonlinear relationship between subway safety and passenger flow, necessitating a comprehensive governance model that combines "prevention, control, and evacuation" to achieve safe, efficient, and sustainable development of the subway system under high passenger flow pressure.

Abstract：This article analyzes the theoretical basis and technological adaptation logic of artificial intelligence empowering enterprise auditing from the perspective of auditing, combined with the characteristics of AI technology. It constructs a three-layer risk intelligent identification system of "data technology application" and proposes a fourdimensional prevention and control path of "technology system personnel ethics compliance". Research has shown that AI technologies such as machine learning and knowledge graphs can accurately identify financial, internal control, and business risks in enterprises, and the four-dimensional prevention and control path can form a complete audit risk prevention and control loop. The results of this article can improve the theoretical system of "AI+audit", provide practical guidance for audit institutions and enterprises, help improve the efficiency and risk control capabilities of enterprise auditing, and promote the transformation of enterprise auditing towards intelligence.

Abstract:In the context of the transformation of the construction industry towards green and intelligent development, big data analysis provides a new path for optimizing building structure design. This article analyzes the application value of big data analysis in building structure design through literature research and case analysis. It points out the four core problems currently faced, including uneven data quality, difficulties in technology implementation, shortage of professional talents, and data security risks. The causes are analyzed from the dimensions of data management, technology research and development, talent cultivation, and security assurance. On this basis, strategies such as building a standardized data management system, promoting technology adaptation and implementation, improving talent attraction and education mechanisms, and enhancing security guarantee systems are proposed. Research has shown that big data analysis can effectively enhance the scientificity of design, reduce costs, and improve efficiency. Relevant strategies can provide reference for solving practical problems and promoting high-quality development of building structural design.

Abstract: With the acceleration of urbanization and the continuous improvement of people's requirements for travel efficiency and safety, rail transit systems are rapidly developing towards a high degree of automation and intelligence. The in-depth application of automation technologies,such as automatic train operation systems, intelligent dispatching, and driverless operations, has not only significantly enhanced the operational efficiency and reliability of rail systems but also brought revolutionary challenges to traditional operational organizational models and safety management systems. This paper takes "rail" as the physical foundation and "automation" as the technological core, deeply exploring the operational mode innovation driven by automation technologies and systematically analyzing the new types of safety risks that arise. The paper aims to construct a collaborative evolution framework of "technology-operation-safety" and propose a resilient operational system and integrated safety management strategies for automated rail systems, providing theoretical references and practical guidance for the sustainable development of future intelligent rail transit.

With the deepening integration of digital technologies in education, virtual reality (VR) immersive learning has emerged as a transformative medium that breaks through traditional classroom constraints through its three core attributes: immersion, interactivity, and conceptualization. As of 2024, the global VR education market has surpassed $8 billion in value. By creating simulated learning environments—including virtual laboratories and historical scenario reconstructions—VR transforms abstract knowledge into tangible experiential learning content, significantly enhancing learners' engagement and retention. However, existing research reveals notable individual variations in VR immersion learning outcomes: some learners struggle with environmental adaptation and lack sufficient motivation, with psychological traits emerging as the key variable explaining these differences.

Abstract：This study focuses on the field of integration between tourism management and innovative technology. By combining literature analysis, case studies, and empirical analysis, it systematically constructs a "driving force - dimension - path" theoretical framework, sorts out the three - stage evolutionary path from information infrastructure construction to immersive ecological development, and reveals the mechanism of action of technology integration on tourism management in terms of efficiency improvement, service optimization, and ecological reconstruction. The research finds that technological driving force, market demand pulling force, and policy guiding force together constitute the core driving forces of integration. The three dimensions of technology, management, and experience synergistically support the integration system, and the evolutionary path shows a progressive characteristic from "tool embedding" to "system reconstruction". Finally, countermeasures are proposed to address challenges such as technology adaptation, data security, and talent shortage, providing theoretical support and practical guidance for the high - quality and sustainable development of the tourism industry.

Abstract: With the rapid development of metaverse technology, its integration with the education field has given rise to the emerging concept of educational metaverse. The education metaverse is not simply a combination of technologies, but a new immersive, interactive, and personalized educational ecosystem built through the integration of virtual reality (VR), augmented reality (AR), blockchain, artificial intelligence (AI), and other technologies. This article first reviews the conceptual evolution of the educational metaverse, clarifying its core connotations and key features; Secondly, construct a conceptual framework for the educational metaverse from the three dimensions of technology, education, and society, and analyze the core elements and intrinsic connections of each dimension; Finally, based on constructivist learning theory, situational cognition theory, connectivist learning theory, and the Technology Acceptance Model (TAM), the theoretical foundation of the educational metaverse is systematically constructed to provide theoretical support for the subsequent research and practical application of the educational metaverse, and to assist in the digital transformation and high-quality development of education.

Abstract: In the current era of rapid technological development and intense global competition, scientific and technological innovation has become the core driving force for social progress and economic development. This paper explores the formation mechanism of scientific and technological innovation thinking from the perspective of cognitive psychology. By integrating core frameworks such as information processing theory, the Geneplore Model, and dual - process theory, and combining the research results of neuroscience, brain science, and environmental interaction, it deeply reveals the internal psychological processes, neural bases, and environmental regulatory mechanisms of the formation of scientific and technological innovation thinking. The research finds that scientific and technological innovation thinking is the result of the collaborative action of cognitive processing, neural activities, and environmental stimuli, and its formation mechanism involves information integration, neural plasticity changes, and the regulation of social and cultural factors. The research results provide a theoretical basis and practical guidance for cultivating scientific and technological innovation talents and optimizing the innovation environment.

Abstract：The quality inspection of petrochemical raw materials is a key link in ensuring production safety and product quality, but its results are influenced by various factors. This article explores the main influencing factors such as personnel quality, instrument and equipment, environmental conditions, sample collection and preparation, and inspection methods, and proposes corresponding optimization measures, including strengthening personnel training, improving instrument and equipment management, strictly controlling environmental conditions, standardizing sample processing procedures, and optimizing inspection method management. Research has shown that by systematically analyzing and addressing these influencing factors, the accuracy and reliability of inspection work can be significantly improved, providing a guarantee for the high-quality development of the petrochemical industry.

Abstract：Objective To evaluate the quality of Ferula asafoetida from different sources.Methods In accordance with the methods specified in Volume IV of the Chinese Pharmacopoeia (2020 Edition)，tests were conducted to determine the moisture content, total ash content, extracts (including ethanol-soluble extract and water-soluble extract), and volatile oil content.Results There were significant quality differences in Ferula asafoetida from different sources; some items failed to meet the standard requirements, and there was no quality standard for asafoetida essence.Conclusion Based on the study of Ferula asafoetida from different sources, it is recommended to establish a more scientific quality standard in combination with its clinical application status.