Abstract: Urbanization intensifies safety challenges and strains traditional emergency management systems, hindering effective crisis response. This study explores digital transformation as a solution to enhance response efficacy, constructing a novel 'ecology-mechanism-objective' analytical framework. It analyzes technology-driven, system-driven, and strategy-driven innovation models, examining their interplay with policy, technological, cultural, and economic factors. Based on this analysis, the study proposes tailored implementation pathways for advancing China's urban emergency management capabilities in the digital era, addressing specific contextual needs. Read More

Abstract: Algorithmic collusion, leveraging the technological characteristics of deep learning and autonomous decision-making, transcends the established boundaries of traditional antitrust regulation concerning the identification of collusive agreements, the determination of liability, and the collection of evidence. Drawing upon the RealPage Pricing Algorithm matter and the Gibson v. Cendyn Grp. case, this study examines the operational logic and potential legal risks associated with algorithmic collusion, comparing the fundamental differences between the two instances in terms of algorithm functional design and market intervention effects. Addressing the regulatory challenges inherent in algorithmic collusion-specifically concerning the establishment of concertation ('meeting of minds'), evidence gathering, and liability allocation-this paper proposes a core strategy centered on multi-dimensional technical governance. This strategy aims to curb anomalous pricing behavior through mechanisms such as algorithmic 'speed bumps' and pricing constraints, combined with enhanced trace supervision via log recording, real-time monitoring, and the application of explainability techniques. Furthermore, it suggests utilizing an autonomy scoring model to establish a tiered evaluation framework for liability allocation. The study posits that, predicated on the monitoring and identification of anomalous market behavior, the utilization of indirect evidence and economic analysis can be instrumental in revealing the non-competitive character of algorithmic collusion, thereby bolstering the basis for liability determination. Consequently, the establishment of precise stratification, the integration of technical assistance, and the development of clear liability allocation mechanisms are identified as critical approaches for antitrust regulation in the context of algorithmic collusion, crucial for effectively mitigating the adverse impacts of technological misuse on the competitive market … Read More

Abstract: The judicial determination of “aggravating circumstances” in online defamation is crucial, but faces many difficulties. The quantitative standard is irrational to criminalize the behavior of others, and it is difficult to reflect the effect of deeper dissemination; the assessment of the harmful consequences has the problems of vague definition of the scope and degree, and complicated determination of causality. The path to solving the problem lies in clarifying the substantive judgment standard of “quantity”, improving the diversified determination standard, comprehensively considering the degree of evil of defamation and the degree of infringement on the victim's reputation, and constructing a comprehensive assessment system by drawing on foreign experience. In-depth study of these issues is of great significance to the improvement of judicial practice and the protection of the legitimate rights and interests of citizens. Read More

Abstract: With the rapid growth of technologies like the metaverse, AI, and VR, traditional models for training new engineering talent face both challenges and opportunities. Current educational systems struggle with outdated curricula, a disconnect between industry needs and educational content, and limited teaching methods. This research explores how to optimize the talent cultivation system for new engineering disciplines within the metaverse context by integrating technology and education. The study highlights how metaverse technologies can enhance course diversity, practical learning, and student engagement, while also emphasizing the importance of interdisciplinary collaboration and industry synergy. Ultimately, the research proposes an innovative model for talent development, aiming to better align education with rapidly advancing technological needs. Read More

Abstract: Structuralist human geography emerging between the 1960s and 1980s, its theoretical foundations stem from the interdisciplinary integration of linguistics, anthropology, and Marxism, emphasizing the revelation of deep-seated social structures and power relations behind spatial phenomena from holistic and systematic perspectives. The school has propelled geography from descriptive to explanatory research, introducing core theories such as “production of space,” “capitalist spatial logic,” and “urban political economy analysis”, providing critical perspectives for understanding socio-spatial relations. However, its tendency toward structural determinism and economic reductionism limits its ability to explain individual agency and new social phenomena. Nevertheless, the theoretical legacy of structuralism remains relevant in critiques of neoliberal urbanization and environmental geography, continuously expanding its scope of application through integration with other theories. This paper explores the developmental context, academic contributions, and limitations of structuralist human geography. Read More

Abstract: Rural revitalization is an important deployment by the Party and the state to promote high-quality economic development in rural areas, and it is the key to driving the transformation of rural civilization and realizing the great rejuvenation of the Chinese nation. Rural cultural governance is an important form of governance for achieving the transformation of rural areas from traditional civilization to modern civilization. In the process of promoting Chinese-style modernization, to achieve modernization in rural areas, it is necessary to closely integrate rural culture with the development of The Times, and improve the quality of cultural life of farmers while maintaining the characteristics of rural culture. The breakout of the "Two Rivers and Two Villages" sports events has provided a new model for rural cultural governance and achieving rural economic development in promoting rural revitalization. It is found from the cases that cultural governance in rural areas can be effectively promoted by strengthening multi-party co-governance, innovating governance forms, expanding the public space of rural culture and enriching the supply of high-quality cultural products. Read More

Abstract: Cold chain logistics park, as a key infrastructure to ensure the safety of food and medicine, faces the challenges of low automation, high energy consumption, and dispersed management. This paper constructs a framework for the whole life cycle management of cold chain logistics parks based on the Internet of Things (IoT) and digital twins, describes the technical paths of physical entity modelling, data acquisition and processing, and virtual-reality mapping and interaction, and systematically explores the application mechanism of this technology in the stages of planning, designing, construction and implementation as well as operation and maintenance. The study shows that the integration of IoT and digital twin technology can effectively improve the operational efficiency, quality management level and resource utilisation of cold chain logistics parks, providing a feasible path for the digital transformation of the industry. Read More

Abstract: With the rapid development of artificial intelligence (AI) technology, enterprise financial management is facing unprecedented opportunities and challenges. Traditional financial management models are no longer sufficient to meet the increasingly complex needs of modern enterprises, especially in areas such as data analysis, decision support, and risk management. This paper explores how AI can empower various elements of financial management and constructs a mechanism for restructuring these elements based on AI. Through literature review and case analysis, key issues in traditional financial management, such as inefficiency in manual operations and delayed decision-making, are identified. The study finds that AI has significant advantages in improving data processing efficiency, optimizing financial decision support, and enhancing risk forecasting and control. Finally, the paper proposes a restructuring framework for the transformation of enterprise financial management, providing theoretical support and practical guidance for achieving intelligent financial management. Read More

Abstract: China has now fully implemented the three-child policy. Women's reproduction is both the continuation of a family and the cultivation of new citizens for the nation and new labor power for society. Providing compensation for women's reproductive labor has become a consensus. However, with the opening of the three-child policy, the labor women undertake in reproduction-from pregnancy and childbirth to childcare, education, and ultimately nurturing qualified labor-requires increased energy and costs. How to reasonably distribute this increased burden has become a new social issue. This paper traces the evolution of the Chinese Communist Party's (CCP) policies concerning the "Four-Period" protection (pregnancy, postpartum, lactation, and menstruation periods) for female workers from 1951 to the present. Seeking to understand the epistemological foundation of this protection, the paper traces back to the founding of the CCP, exploring the initial ideological basis for constructing the "Four-Period" protection policy. Starting from the historical origins of the policies, it analyzes the underlying concepts behind the institutional design in different periods, the continuity and changes in the policy content itself, and the social practice of "Four-Period" protection at each stage. Thus, it presents the complete process of the construction and evolution of "Four-Period" protection over a long historical span, further exploring the discourse and changes in the social status of modern Chinese women. Re-integrating and re-distributing the responsibilities of the state, market, family, and individuals in the sphere of reproduction remains a crucial issue to be addressed. This paper aims to historically analyze the design philosophy behind the CCP's "Four-Period" protection system for women, the evolution of the system itself, and its practice, exploring the changing relationship between Chinese female workers, enterprises, and the state over the past century. It hopes to … Read More

Abstract: Hate crimes, as violent acts targeting group identities, have increasingly drawn the attention of social psychology and criminology due to the cognitive mechanisms underlying them. This paper adopts the elaboration likelihood model as an analytical framework to explore the role of cognitive biases in the formation of hate crimes, aiming to reveal the complex interactive relationships among information processing pathways, emotional factors, and group identity. The study first reviews the basic characteristics of hate crimes and the theoretical development of cognitive biases, then analyses their influence on criminal motives from the perspectives of stereotypes, attribution biases, and in-group and out-group identity. Building on this theoretical framework, the study further explores how the marginal route and emotional processing biases in the Elaboration Likelihood Model solidify prejudices, weaken reflection, and thereby trigger or amplify violent behaviour. This paper argues that cognitive biases do not exist in isolation but are shaped by information processing pathways and emotional responses, which together form the perpetrator's group hostility and tendency to justify their actions, providing psychological support for the occurrence of hate crimes. The research conclusions contribute to a deeper understanding of the cognitive causes of hate crimes and provide a theoretical basis for anti-hate education, media intervention, and social governance. Read More

Abstract: In the context of the artificial intelligence era, the application of workplace intelligent monitoring technology improves management efficiency while posing a threat to workers' personal information security. This article analyzes the conflict between workers' personal information rights and the management rights of employers, and points out the inadequacies of existing laws in protecting workers' personal information. To address this challenge, the article proposes introducing Personal Information Protection Impact Assessment (PIPIA), aimed at improving transparency in information processing and workers' participation, while emphasizing the importance of the purpose limitation principle in monitoring activities. In response to the challenges in implementing PIPIA, the article suggests strategies such as refining assessment standards, improving labor laws, and strengthening the construction of supervisory departments, aiming to find a balance between intelligent monitoring and personal information protection. Read More

Abstract: The empowerment of digital technology injects new momentum into the digital supply of smart community elderly care services and facilitates the deep restructuring of service scenarios, technological embedding, and governance frameworks. The precision supply of smart community elderly care services enabled by digital technology follows a practical logic centered on "technology embedding-platform-based decision-making-data-driven operation-collaborative co-governance." The realization of such precision supply depends on the synergistic support among multiple elements, including governance coordination capacity, data resource foundations, user adaptability, scenario application infrastructure, and institutional safeguards. To enhance the effectiveness of digitally empowered precision supply in smart community elderly care, it is essential to continuously improve the mechanisms for collaborative governance, data governance, technological empowerment, integrative participation, and evaluative feedback. Read More