Volume 102

Intangible cultural heritage (ICH) constitutes a precious spiritual asset of humanity, embodying rich historical and cultural significance. As a nationally recognized ICH item, Shanghai-style paper-cutting showcases the regional folk customs and historical transformations of Shanghai through its distinctive artistic style and profound cultural connotation. In the context of rapid digital technological advancement, how to leverage artificial intelligence (AI) to improve the efficiency and quality of graphic information design, thereby enhancing the communication effectiveness of ICH, has become a pertinent topic for in-depth study. This paper explores a practical application of AI-assisted design using Stable Diffusion in the exhibition design of Shanghai-style paper-cutting within an ICH pavilion. It aims to provide reference and inspiration for AI-assisted graphic design of display information.

Show more

This paper conducts a comparative analysis of female representations in Shishuo Xinyu, a classical Chinese anecdotal collection, and Shakespearean drama. It explores how different cultural contexts and literary forms shape the depiction of women, revealing both convergences and divergences in gender ideology. In Shishuo Xinyu, female figures are often characterized as talented women, virtuous wives, and devoted mothers, serving as embodiments of Confucian moral ideals. Their portrayals are concise yet evocative, relying on indirect narration and symbolic contrast. In contrast, Shakespeare’s female characters exhibit greater complexity, emotional depth, and autonomy. Through rich dialogue and dramatic action, they challenge traditional gender roles and assert their individuality. The paper analyzes the narrative techniques and aesthetic choices used to construct these images, highlighting the cultural significance of women as both moral mirrors and narrative agents. By juxtaposing these two literary traditions, the study sheds light on broader historical and ideological undercurrents in gender construction and literary expression.

Show more

This study focuses on East Asia and Latin America, conducting an in-depth analysis of the intrinsic relationship between state capacity, the sequence of democratisation, and economic development. The findings reveal that East Asian countries have achieved rapid economic growth through strong state intervention capabilities, scientific economic planning, and targeted industrial policies. In contrast, Latin American countries have been plagued by political instability, institutional fragility, and challenges in social governance, resulting in weak state capacity and fluctuating economic development. In terms of democratisation, East Asian countries adopted a 'development first, democracy later' model, successfully laying the economic foundation for democratic transition. In contrast, Latin American countries' early democratic experiments were hindered by institutional deficiencies, and later democratisation efforts brought new economic challenges. There exists a complex tension between state capacity and the sequence of democratisation. East Asian countries achieved a smooth transition through coordination mechanisms, while Latin American countries fell into a vicious cycle of political and economic instability.

Show more

This essay explores the cost of higher education and the inequality of educational resources distribution in China and America. As both nations grapple with the challenges posed by rising tuition fees and the uneven distribution of educational resources, understanding these dynamics becomes crucial for policymakers, educators, and students alike. In China, the rapid expansion of higher education has led to huge differences in resource allocation, and the educational resources in urban centers are much richer than those in countryside areas. In America, where elite institutions in the education industry attract the most funding and resources, family income greatly affects the quality and resources of education available. This paper examines the governmental and economic factors that influence the cost and resource allocation of higher education, which have contributed to the widening of equality and opportunity gap in higher education. By comparing China and America, the analysis highlights the need for targeted policy interventions to promote a more equitable education environment. This essay aims to explore the current state of higher education and provide perspectives for addressing the high cost and inequality of higher education

Show more

This paper looks at how cyber warfare is changing the nature of war. It also discusses the problems with the current international legal system when dealing with cyber-attacks. The study focuses on how hard it is to define a cyber-attack clearly. It also explains the difficulties of using old international laws for these new conflicts. The paper shows the weaknesses in current laws by looking at examples like the Stuxnet virus and the Estonia power grid attack. These laws have trouble dealing with cyber warfare that governments support. The paper highlights the need to update international humanitarian law. This update would help protect civilians from the harm caused by cyber operations. The paper also says that we need clearer definitions. It suggests creating a new "Cyber Warfare Treaty" regulating cyber warfare. This treaty would be similar to the rules for traditional armed conflicts. It would make sure that civilians’ property is protected. It would also ensure that states are held responsible for their actions in cyberspace.

Show more

The purpose of this research was to examine how individuals' attachment styles, avoidant and anxious, influence their experiences of emotional regulation after dissolution from a romantic relationship, determining emotional regulation by testing participant’s use of cognitive reappraisal and suppression strategies, and determining emotional response by testing emotional distress, self-blame, emotional numbness, and intensity of emotional reactions, rated on a Likert scale. After analyzing the data from the Emotional Regulation Questionnaire and Breakup-Specific Emotional Response Inventory surveys, the predicted results would likely reveal that anxious attachment styles are positively associated with higher emotional distress following a breakup, subsequently resulting in greater reliance on cognitive reappraisal strategies, facilitating personal growth. In essence, the heightened emotional responses, characterized by sadness and self-blame, catalyzes deeper cognitive engagement with their experiences which transforms stress into positive outcomes. Conversely, avoidant attachment styles would link to emotional numbness, ultimately preferring suppression strategies and results in lower levels of personal growth. Specifically, the emotional suppression characterizing avoidance individuals inhibits their capacity for emotional processing, limiting growth opportunities. Ultimately, in the endeavor to ameliorate the social stigma associated with emotional responses to relationship dissolution, these findings underscore the critical role of attachment styles in shaping emotional regulation.

Show more

This study addresses the quality assessment challenges in the digital transformation of childcare services, constructs a smart childcare quality assessment system based on big data analysis, and proposes an XGBoost prediction model optimized based on the exponential triangulation algorithm. By integrating machine learning technology and policy analysis framework, a dynamic assessment system connecting government regulation, agency operation and family demand is established. During the model construction process, feature engineering methods are used to extract multidimensional indicators of service quality, and nonlinear correlation analysis is combined to capture the complex mechanism of action in child care services. The experiments compare the performance of five typical machine learning models in the classification task, and the results show that XGBoost and the improved model have a significant advantage in the core metrics: the optimized model outperforms the native XGBoost in both accuracy (0.944 vs. 0.935) and recall (0.944 vs. 0.935), with an improvement in the F1 value of 1.1 percentage points, which indicates that the algorithm optimization effectively enhances the integration ability of feature space and the delineation precision of decision boundary. It is worth noting that although the improved model outperforms the native XGBoost in most classification metrics, XGBoost still maintains a slight advantage in the AUC value (0.961 vs. 0.951), which may stem from the inherent adaptability of its gradient boosting mechanism to the category-imbalanced data, especially when dealing with the low-probability samples, and demonstrates a stronger robustness. The study further reveals the nonlinear coupling law between policy elements and environmental variables in service quality assessment, and provides technical support for government departments to build a dynamic monitoring network with hierarchical classification by establishing the quantitative mapping relationship of “quality characteristics-rating criteria-resource allocation”.

Show more

This paper examines the “chain of ownership” issue in patent law concerning artificial intelligence (AI), specifically addressing the question of whether AI should be recognized as an inventor. Traditionally, patent law grants ownership to human inventors or employers to foster innovation. However, as AI plays a larger role in the inventive process, questions arise about its eligibility as an inventor. Legally, AI lacks the qualifications of an independent legal subject and cannot fulfill the patent law requirements for inventorship, which are tied to human creativity and intent. Ethically, AI’s creations are based on data processing rather than genuine creativity, and recognizing AI as an inventor may devalue human innovation. Granting AI inventorship could cause legal issues, such as ownership disputes and incentive imbalances. Through the analysis of relevant literature and cases, the paper shows that AI should not be recognized as an inventor under current patent law, as it lacks human qualities such as consciousness and moral intent. However, as AI’s role in innovation grows, legal reforms may be needed to address the ownership and incentives for AI-generated inventions.

Show more

After being isolated for two hundred years, Japan was soon forced to interact with the developed Western world. Western ideas and technologies flowed into Japan, which led to the awakening of new women, who were in a lower position than men for the entire time in Japanese history. These new women include modern girls, middle-class housewives, and working-class women. They started to resist the existing social expectations of them and act of their own will. New women faced strong opposition from everyone, and only a few women were willing to follow them. Their resistance allowed other women to see what they could become and laid the foundation of the women’s suffrage movement in Japan.

Show more

The short video business has started to grow due to the rapid development of the Internet in the modern world. The primary goal of this research is to examine how network interests influence user behaviour on platforms like TikTok. We carried out this kind of research since most studies on the Internet have concentrated on the overall consequences of network effects on the platform rather than the particular behavioural effects they have on individuals. The data presented in this paper indicates that as more people sign up for TikTok, more works will be posted there, leading to a significant increase in user communication and platform consumption. The literature review method is used in this study first, and two analysis techniques are then used to examine the history of network effects on platform expansion. Using descriptive data analysis as the first method, we will assess network effects that impact customer acquisition and retention through empirical means. Secondly, we employed predictive analytics to create a time series model, find specific changes in platform data over time, and ensure the prediction model accounts for various scenarios and clientele. In the end, we discovered that network advantages greatly impacted how users behave on the platform. Platforms can become more competitive by better-developing user acquisition and retention strategies and knowing how network effects impact user growth.

Show more