bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the Geopolitical Impact and Future Prospects of the Funan Techo Canal Project
Authors: Chen Hongwei
Published: November 2024

Abstract: The Funan Techo Canal project is set to significantly alter the geopolitical landscape of Southeast Asia by enhancing Cambodia's economic independence and reducing its reliance on Vietnam for maritime access. Economically, the canal will lower logistics costs, streamline trade routes, and attract foreign investment, aligning with China's Belt and Road Initiative(BRI). This infrastructure project not only promotes regional trade but also strengthens Sino-Cambodian relations. Militarily, the canal will facilitate the People's Liberation Army Navy's (PLAN) access to the Strait of Malacca, expanding China's military projection capabilities in the region. By integrating economic growth with strategic military advantages, the project serves as a critical element in China's broader strategy to increase its influence in ASEAN. Ultimately, the Funan Techo Canal not only promotes regional trade but also establishes a model for future cooperation among ASEAN countries, reshaping the region's geopolitical dynamics.
Essential Buddhist Tenets on Non-self and Comparative Concepts
Authors: Liu Hangan
Published: November 2024

This article provides an in-depth analysis of the Buddhist concept of no-self. It clarifies the essential Buddhist tenets of karma, impermanence, emptiness, and the Middle Way, underscoring that nothing in the world, created or influenced by conditions, is constant and unchanging, and that all phenomena emerge from a convergence of their respective conditions or causes. The paper subsequently analyses the significance of the five skandhasform, sensation, perception, mental formations, and consciousnessas the aggregates that comprise an individual, and explores the five receptive yin, the non-self of humanity, and the non-self of dharma. The paramount objective is the realisation of the authentic self, juxtaposed with the repudiation of the corporeal self accentuated by the deceptive self. The focus is on the Buddhist concept of non-self, demonstrating that the self is neither any of the five aggregates nor a combination of them; this is followed by a clarification of misunderstandings about non-self, including the idea of a self independent of the aggregates, the rejection of chemotaxis theory, and the denial of the eliminative no-self theory. The thought experiment of the ship of Theseus is utilised to clarify the transformation and insubstantiality of the self, prompting individuals to move beyond the traditional conception of self and investigate the idea of non-self. The Buddhist concept of 'not-self' provides individuals with an alternative viewpoint and spiritual understanding, enabling the release of attachment to material possessions and the ego, thus promoting inner peace and tranquilly.
Analysis of the Film 'Rebirth' of the Price of Revenge: The Distortion of Human Nature and Moral Degradation
Authors: Chen Shaoying
Published: November 2024

The film Rebirth, starring Eric Chang and Ruan Jingtian, tells the story of two people with very different personalities who meet for the same purpose of revenge and desire to seek redemption in that revenge. This paper will analyze the film 'Rebirth', examining the impact and costs of revenge on the individual involved and those potentially affected, as well as delving into the concept of redemption between individuals and the intricacies of human nature as depicted in the film. This paper will study the psychological impact of revenge on the characters and the moral dilemma from a psychological perspective; then analyze it from a socio-cultural perspective, exploring the diversity of the expression of the theme of revenge in different cultures; and finally analyze the visual language of the film, analyzing the portrayal of each character as well as the transformation of each scene at the moment of revenge through the study of the film's plot. This paper will combine the above factors to analyze the ending and cost ofrevenge, conclude that the cost of revenge is multi-dimensional, mixed with the complexity of human nature, and reflect on the social phenomenon with the content of the film so as to provoke more thoughts.
Understanding Stubbornness Through the Lens of Game Theory: A Structured Review of Decision-Making, Consequences, and Strategy
Authors: Hu Manka
Published: November 2024

In daily life, it is normal to encounter people who will never listen to other people's strategies or are born with high communication costs, these people are considered to be very stubborn. There have been many biological and sociological studies on this stubborn psychology, but no one has observed stubbornness as a rational result in every corner of life. Hence, it is particularly vital to understand these people more objectively by understanding some classic game theory concepts.In this study,I explained the role of stubbornness in decision-making. I have summarized the method of incorporating stubbornness as a variable into game models by reviewing past viewpoints,and selected situations from classical games for analysis. More importantly,we analyzed the consequences of stubbornness using the most basic arithmetic logic in the game. Through the discussion in the paper, we can understand stubborn gamblers, anticipate their possible strategies, and develop strategies to deal with stubborn gamblers.
Study on the Positive and Negative Impacts of ChatGPT on the Education System
Authors: Li Juntao
Published: November 2024

The integration of artificial intelligence (AI) particularly language models into education has catalyzed an ongoing debate regarding its prospective advantages and perils. Critics continue to stress the perils arguing against continued utilization in educational settings, while those advocating for this technology continue to underscore the need to mitigate the emerging challenges while leveraging the immense opportunities it characterizes. This critical literature review contains an analysis of the impact of ChatGPT, a widely-discussed AI language model, on global education ecosystems. Through an exhaustive literature review, this study evaluates whether ChatGPT acts as a constructive instrument for enhancing personalized learning, supporting educators, and improving access, or if it poses significant challenges like undercutting conventional teaching roles, propagating inequality, and raising ethical issues. The findings reveal that although ChatGPT presents transformative educational opportunities, realizing its full potential necessitates careful and ethical implementation. Ultimately, ChatGPT can be an invaluable educational resource, provided its assimilation is thoughtfully supervised to alleviate associated risks.
The Relationship Between Personal Experience of the Artist and the Style of the Art --Taking Yayoi Kusama as an Example
Authors: Chi Bangheng
Published: November 2024

Abstract: Yayoi Kusama plays a significant role in contemporary art history, having navigated the Western-dominated art world and challenged the authority of the male-dominated art scene through her work. This essay will try to analyze Kusamas artwork, examining how her creations can be viewed as a form of therapy that heals her inner world, using the methodology outlined in the book Art as Therapy. This paper presents the personal experiences of Yayoi Kusama and tries to illustrate how her life has influenced the way she creates art, which conveys her internal energy and her way of communicating with the world. Kusamas life experiences became one of the elements of her works, with her difficult past fueling a deep yearning for love and hope. Thus, her works were constituted by her life experiences.
The Embodiment of Csrds Style in Musical Works
Authors: Chen Tianjia
Published: November 2024

This paper studies how Csrds style is reflected in music works and the performance techniques related to the style. In previous literature, some tend to analyze repertoire and performance techniques, while others are related to the development of Gypsy culture and the characteristics of Gypsy music in relation to Csrds. There is little analysis of Sarasati's Zigeunerweisen and Monti's Csrds combining Csrds's relevant characteristics and playing techniques. Based on this situation, this paper will analyze Sarasati's Zigeunerweisen and Monti's Csrds to reveal the characteristics of Csrds style and its origin Gypsy culture, and put forward suggestions on how to improve the performance techniques to make Csrds style more prominent. The final conclusion is as follows: Csrds style is inseparable from Gypsy wandering experience, and its main features are reflected in the structure, mode, rhythm, national scale, improvisational decoration. In the performance, musicians usually pay more attention to the expression of emotion, and to conform to the gypsy free, unruly characteristics.
Causes and Intervention of Adolescent Anxiety
Authors: Chen Yixuan , Li Xinjue , Sun Chang
Published: November 2024

Nowadays, the problem of adolescent anxiety has become a common social phenomenon, and it is also a hot topic of social concern. Some researchers have found that parenting style and excessive academic pressure have a significant impact on adolescent anxiety, but the underlying mechanism and influence range are still lacking a unified explanation. Therefore, this study explores the causes of adolescent anxiety by collecting and analyzing data, studying the characteristics of adolescents themselves, and also proposes two intervention methods, cognitive behavioral therapy and psychoanalysis, to treat adolescent anxiety. Through analysis and research, it is found that maladaptive parenting styles and excessive academic pressure can lead to anxiety disorders in adolescents. But if the teen already has anxiety, there are interventions through CBT and psychoanalysis. But in fact, the causes and intervention methods of adolescent anxiety are definitely not limited to these, and special research can be carried out in the future.
Research on Teaching Strategies Based on Second Language Acquisition Theory
Authors: Zhong Yu
Published: November 2024

Second language acquisition(SLA) refers to the process of learning a language outside the mother tongue. Research in this area focuses not only on the acquisition of language structure, but also on the social, psychological, and cognitive aspects of language learning. In recent years, empirical studies have supported that extra-curricular English exposure through media can promote the improvement of language ability. These studies generally find that frequent out-of-class contact is associated with improved vocabulary, grammar, and language fluency. Although SLA research has provided us with many valuable insights, it still faces challenges in practical application, such as individual learner differences, limited teaching resources, and complexity of assessment methods. This research focuses on how second language acquisition theory influences the selection and implementation of foreign language teaching strategies. By analyzing language acquisition theory, language teaching strategies, and learners' individual differences, this study aims to reveal teaching methods and approaches that effectively promote ESL learners' language skills. The results of the study show that teaching strategies based on linguistic theories have significant effects in ESL teaching, especially in listening, speaking and reading skills. This study provides useful references and insights for ESL teaching practice.
From Economic Collapse to Cultural Reflection: Neon Genesis Evangelion as a Lens on Japan's Lost Decade
Authors: Shi Jingwen
Published: November 2024

Abstract: Following the collapse of Japan's asset price bubble in the early 1990s, the country experienced a prolonged period of economic stagnation, which influenced social dynamics and psychological well-being. This article examines the profound impact of Japan's "Lost Decade" on the cultural landscape, particularly through the lens of the iconic anime Neon Genesis Evangelion. The narrative complexity of Evangelion, with its themes of societal alienation, economic despair, and identity crises, resonates with the anxieties faced by Japanese youth during this tumultuous time. Utilizing a case study approach, this paper analyzes how the series reflects broader social pressures and personal struggles, particularly through its central charactersShinji, Asuka, and Rei. Additionally, the article explores Evangelion's transformative influence on otaku culture and the anime industry, highlighting its role in popularizing the production committee model. Despite its significant cultural impact, this study acknowledges limitations, including a narrow focus on the series' immediate cultural context and a need for a more robust psychological analysis. The findings suggest that Neon Genesis Evangelion serves as a critical lens for understanding the interplay between economic hardship and cultural expression in contemporary Japan.
Analysis of the Knowledge Communication on Social Media
Authors: Wen Xiaofan
Published: November 2024

As an important public information in human society, knowledge is related to the inheritance of civilization and social progress. With the fast development of communications technology and the emergence of social media, the media that dominates society is also constantly changing. The changes in media have had a profound impact on the communication of current knowledge, which is often stored in various media, deconstructing and fragmenting the content of knowledge. This study mainly analyzes the behaviors of knowledge communication on current social media from the perspectives of Needs and Gratification Theory and Visibility Theory, discussing the underlying causes and future development. Within the burgeoning realm of social media, people can express their personalized needs and different opinions, and anyone with different interests can create their own virtual knowledge community to communicate and share all kinds of knowledge with others. Besides, the emergence of information cocoons has also become an undeniable issue, and how to face and solve this new problem has become an important topic, and it is crucial to rethink and explore the ways knowledge is communicated in today's society.
The Development Dilemma and Breakthrough Path of Special Education from the Perspective of Educational Equity
Authors: Lu Xianze
Published: November 2024

A significant component of the country's educational system is special education.,and it is related to educational equity and social justice. Educational equity is the basis for the equitable development of society, and special education is a key link in guaranteeing this equity, providing equal access to education for children with special needs and having a significant impact on the realization of social justice. This paper mainly studies the development dilemma and breakthrough path of special education from the perspective of educational equity. The purpose of the research is to explore the problems facing special education and propose solutions. Through literature analysis and review methods, this paper finds that special education has problems such as insufficient educational resources and unbalanced distribution, low professional level of special education teachers, and deviation in social cognition. Therefore, to this end, it is necessary to increase investment to optimize the supply of resources, improve the preparation of educators in special education, and change social concepts to create an inclusive atmosphere, in order to defend the special children's right to an education.
The Impact of Social Fake News on Different Groups of People-Take TikTok and Kuaishou for Example
Authors: Lyu Jialin
Published: November 2024

This study focuses on TikTok and Kuaishou platforms. Through quantitative analysis and case study methods, it analyzes the transmission law and influence mechanism of social fake news in different user groups. The transmission law refers to the patterns and dynamics of how fake news spreads within and across different user groups. First, this paper defines the types and characteristics of fake health news and constructs a theoretical framework of influencing factors based on the psychological acceptance model. Secondly, the data on TikTok and Kuaishou platforms were collected, and SPSS software was used for multivariate statistical analysis, which revealed how factors such as cognitive bias, decision pressure, group effect, and algorithm recommendation mechanism affected peoples acceptance and response to fake news. Further, the study analyzed the influence of teenagers, adults, and elderly groups psychological and behavioral differences and found that teenagers are more vulnerable to web celebrity effect and peer pressure, and adults' health information and processing ability is relatively strong, the elderly, by media habits and trust differences to health information receive more sensitive. The case study reveals how the platform algorithm recommendation mechanism affects the transmission path and influence of information. Finally, this paper puts forward relevant suggestions according to the research results, including strengthening media literacy education, optimizing the supervision of social platforms, cultivating the public self-protection mechanism, and improving the policy-level countermeasures so as to deal with the challenge of health fake news jointly.
Analyze the Influence of Social Values on People from New Year Sacrifice and The Bluest Eye
Authors: Zhang Censijia
Published: November 2024

Feminism and black equality are always common topics that society always cares about. It seems that the ill-nature of the people born in outdated regimes has been eliminated, but in fact, the thoughts and cognition of the regimes are still widely spread in current society. Thus, the research topic of this paper is to analyze the traditional form of the interpretations reflected in novels and to illustrate how they affect both people in the time when the novels set and people nowadays. The research method of this paper is first to collect and analyze previous papers about related topics and combine them with current social conditions to carry out research longitudinally. By comparing the People from New Year Sacrifice and The Bluest Eye, this research result is that the interpretation in the traditional society is still partially passed on and makes a great impact on people today unconsciously, including their stubborn stereotypes of some groups and kinds of behavior guidance to people.
Route Planning of Freight Transport and Logistics Considering Truck Platooning
Authors: Huang Heshan
Published: November 2024

This article explores the integration of truck platooning and clustering algorithms within logistics path planning. Clustering algorithms divide a specific area into several zones, each with a designated distribution center for further route planning. This approach ensures that the route planning process extends the distance that truck fleets can travel together in platoon formation, maximizing the benefits of truck platooning. The integration of clustering and platooning not only enhances environmental sustainability by reducing fuel consumption and emissions but also increases operational efficiency. The review examines key studies employing machine learning and real-time data integration to optimize these techniques, addressing implementation challenges, technological advancements, and future research opportunities. Additionally, it investigates various methodologies to combine these techniques, including multi-agent systems and hierarchical clustering, highlighting significant improvements in fuel efficiency, cost savings, and emissions reduction. Case studies demonstrate practical benefits such as fuel savings ranging from 10% to 20% and reduced delivery times. The article emphasizes the potential for these integrated systems to revolutionize logistics operations through improved efficiency and sustainability, outlining the challenges and future directions for research and implementation in this field.
Evaluation and Improvement of Wind Turbine Operation and Efficiency
Authors: Liu Yi
Published: November 2024

Wind energy has a long history and has evolved into a crucial component of sustainable energy solutions. This paper introduces the development and distribution of wind energy, explaining the components and functionality of wind turbines, particularly Horizontal Axis Wind Turbines (HAWT). It discusses their advantages, such as sustainability and low operational costs, as well as their disadvantages, including site selection challenges, noise, aesthetic concerns, and environmental impacts on wildlife. The paper also explores the significant global expansion of wind energy, highlighting the rapid increase in wind power capacity and its role in the global energy mix. Moreover, the study evaluates the efficiency of wind turbines, considering factors such as blade design, pitch control, and the Betz limit. It suggests advanced site assessment, noise reduction technologies, and environmental impact mitigation strategies to optimize wind energy efficiency and acceptance. These strategies are essential for maximizing the potential of wind energy as a key player in the transition to a sustainable energy future.
Pathways in Biomimicry to Enhance Solar Technology Capabilities
Authors: Yu Jason Kai On
Published: November 2024

Efficiency, longevity, and cost-effectiveness in current solar modules are compromised in pursuit of best balancing one another. This report explores the potential of enhancing solar cell practicability through biomimicry. Like solar cells, biological organisms absorb heat during photosynthesis, positioning nature as an inherent source of inspiration to tackle current technological challenges. Significant improvements have been achieved by mimicking structures such as the leaf epidermis for multidirectional light capture, cell membranes for protective encapsulation, and butterfly wings for enhanced light absorption and reflection. For instance, incorporating a BT layer for thermoregulation mimics plant transpiration, enhancing cooling efficiency. Additionally, hierarchical structures inspired by leaf geometry increases angular robustness in both dye-sensitized solar cells and passive emitter and rear cells, and lipid biomolecule interactions shelter halide perovskites from environmental degradation. The nanostructures of butterfly wings also show promise in supporting thin film PVs to overcome conversion inefficiency. Lastly, the reflective properties of butterfly wings have led to advancements in solar concentrators, improving power-to-weight ratios. These examples highlight the untapped potential of biomimicry in furthering the viability and deployment of solar technologies.
U.S. Dollar Activeness Forecasting: Application of the Seasonal ARIMA Model
Authors: Wang Haixu
Published: November 2024

This article selects the US Dollar Activeness as the research object, and through the study, it predicts the US Dollar Activeness 12 months later. It also attempts to analyze the reasons for the fluctuations of the US Dollar Activeness at different stages. The US Dollar Activeness holds a high position in the international currency market, and its fluctuations can reflect the strength or weakness of the US dollar and the health of the economy. In the prediction process, this article introduces the ARIMA model to predict the future trend of the US Dollar Activeness and tries to identify its influencing factors. By using the seasonal ARIMA model, a forecast chart of the US Dollar Activeness for the next 12 months was obtained. The US Dollar Activeness is likely to maintain its strength in the short term, but there are still uncertainties. Predicting the US Dollar Index can influence future exchange rate fluctuations and monetary policy formulation, as it reflects the value of the dollar against a basket of foreign currencies, exerting a broad impact on global financial markets and economic activities.
Analysis of the Impact of Educational Attainment on Nominal Wages and Wage Growth Rates
Authors: Zhao Yuxuan
Published: November 2024

This study explores the impact of educational attainment on nominal wages and wage growth rates, focusing on whether education reduces or exacerbates wage inequality. As globalization and technological advancements reshape the labor market, understanding these dynamics is crucial for identifying and supporting disadvantaged groups to mitigate economic instability. Utilizing data from the U.S. Department of Labor, this research employs box plots and log-difference analysis to examine wage distribution and convergence among different educational groups. This research indicates that wage disparities are more significant among individuals with higher levels of education, whereas wages tend to be more consistent within groups of those with less education. Additionally, wage growth shows greater volatility and disparities are more pronounced among those with less education, whereas those with higher education generally experience more stable, incremental salary increases. In addition, the wage gap between highly educated and less educated individuals is also becoming increasingly pronounced. These results suggest that targeted policies are needed to address wage disparities and support disadvantaged groups, particularly those with lower educational levels who may be more vulnerable to the economic shifts brought about by globalization and technological advancements.
Investment Suggestions for Individual Investors: A Case Study of Bill Hwang
Authors: Tang Qiao
Published: November 2024

On March 26, 2021, Archegos, the family fund office managed by hedge fund manager Bill Hwang, exploded, and the heavily held stocks under his management were sold, with a total amount of $20 billion, and the market value of the related stocks was wiped out by about $33 billion. This huge event has aroused widespread attention in the financial world, but also sounded the alarm for individual investors. This paper analyzes the process of Archegos' implosion, and analyzes the reasons for the implosion: the extensive use of financial derivatives, the concentration of investment strategies and the abuse of leverage. Then it provides relevant suggestions for individual investors to better participate in the financial market: establishing effective investment portfolio, be cautious to leverage, robust risk management and continuous monitoring. Based on the analysis of Bill Hwang event, this article provides reference for individual investors to identify investment risks, choose better investment strategies and more effective risk management.
How Sales Methods and Platforms Affect Elderly Online Shopping: The Patterns and Causes
Authors: Wang Liying
Published: November 2024

With the rapid development of the Internet, online shopping has become the mainstream shopping method for youngsters, but that is not the case for the elderly, a demographic group that takes up a considerable ratio of our whole population. This research integrates a questionnaire survey and one-on-one interviews as qualitative methodology and regression analysis, descriptive analysis, and inferential analysis as quantitative methodology using the statistical analysis software STATA to analyze the extent of sales methods effect on the elderlys shopping decisions, the popularity of different online shopping platforms, and the influential factors of elderly online shopping. The researcher found that, comprehensively, among all sales platforms researched, the most used platforms by the elderly are successively Taobao, Jingdong, TikTok, Kuaishou, Xiaohongshu, and Bilibili. Among all sales methods researched, the effectiveness of them on elderly online shopping from high to low is sequentially sales promotion, online advertising, public relations, and site promotion.
A Review about the Business Cycle and Stock Market
Authors: Qu Zhengxu
Published: November 2024

This study reviews extensive research examining the relationship between business cycles and stock market returns. It explores both the impact of business cycles on stock market volatility and the predictive power of stock markets regarding business cycles. Existing theories and empirical studies have provided significant insights, yet a notable gap exists in understanding stocks' differential sensitivity to economic fluctuations across various industries. This review highlights the need for future research to adopt a more granular approach, considering industry-specific responses and utilizing qualitative methods to explain these differences. Additionally, regional variations in the relationship between business cycles and stock market returns are examined, noting distinct patterns in North America, Europe, Asia, Latin America, Africa, and the Middle East. The review underscores the importance of data-driven approaches in predictive analytics to uncover new theoretical perspectives and improve the predictability of economic phenomena. Ultimately, this study aims to comprehensively understand the interplay between economic cycles and stock markets, offering valuable insights for investors and policymakers.
A Study on the Evolution and Driving Factors of US Treasury Bond Market Liquidity
Authors: Chen Mei
Published: November 2024

As the largest and most liquid sovereign debt market in the world, the liquidity of the US Treasury bond market has an important impact on the global financial market.Since 2008, the resilience of the U.S. Treasury market has shown a downward trend, at the same time that liquidity risks have gradually become prominent,in particular, due to external shocks such as the COVID-19 pandemic, market liquidity has experienced significant fluctuations. This paper deeply analyzes the primary and secondary markets of U.S. Treasury bonds, explores the key factors affecting the liquidity of these two markets, and assesses the current liquidity situation through market indicators. On this basis, this paper predicts the possible direction of market liquidity in the coming period of time, and summarizes the reform proposals put forward by major industry institutions to improve market liquidity.The purpose of this paper is to explore the changing trend of the liquidity of the US Treasury bond market, analyze the main influencing factors behind it, and summarize the current market state and possible development trend in the future.
Impacts and Changes in the Exchange Rate of the Japanese Yen - Based on Signaling Models
Authors: Wang Tianyu
Published: November 2024

This paper examines the impact of Japanese yen (JPY) interest rates on the JPY exchange rate, focusing on the signal model within information asymmetry theory. Information asymmetry influences financial decision-making, and the signal model suggests that parties may use signals to convey private information, affecting market behaviors. Changes in JPY interest rates serve as signals, reflecting the Japanese economy's strength, inflation expectations, and central bank policies. Market participants interpret these signals, adjusting their trading strategies and influencing the JPY exchange rate. In March, the Bank of Japan ceased the implementation of negative interest rates. To gain a deeper understanding of the underlying factors influencing the dollar-yen exchange rate, the dollar one-month treasury bond and the yen one-month treasury bond prices, a regression and correlation analysis was conducted between April 2023 and April 2024.
Critical Analysis of the CSR Strategy of Uber
Authors: Liu Yumeng
Published: November 2024

This study undertakes a critical assessment of the Corporate Social Responsibility (CSR) approach adopted by Uber, a prominent ride-sharing corporation based in San Francisco, California, which since its establishment in 2009, has significantly disrupted the transportation sector through innovative technological advancements. Nonetheless, the firm has encountered substantial obstacles tied to its CSR performance, notably involving safety concerns and entanglements with legal disputes. By executing a meticulous stakeholder appraisal and applying Carrolls CSR pyramid as a framework which outlines responsibilities across economic, legal, ethical, and philanthropic dimensions the research delves into Ubers CSR strategy. It uncovers deficiencies in passenger and driver safety measures, exposes legally dubious practices that could be deemed exploitative, and highlights an inadequate attention to ethical considerations for its driver workforce. While the company has initiated some philanthropic endeavors, its CSR strategy is critiqued for inadequately reconciling shareholder interests with the needs of other stakeholder groups. In drawing conclusions, the paper prescribes a series of enhancements for Ubers CSR strategy, underscoring the necessity for implementing a robust, regulated safeguard mechanism. This measure is posited as crucial for augmenting safety standards and fostering enhanced trust among all stakeholders.
Research on the Problems of Pension Finance in China
Authors: Wang Shanshan
Published: November 2024

With the obvious development trend of global aging, the "three-pillar" model is becoming the mainstream choice for the reform of pension systems in various countries. The Central Economic Work Conference proposed to standardize the development of the third pillar of pension insurance. China's multi-level pension insurance system consists of three pillars, of which the first pillar is basic pension insurance, the second pillar is corporate and occupational pensions, and the third pillar includes individual savings-type pension insurance and commercial pension insurance. Although the three pillars indeed bring a certain level of protection, they still face some objective problems. For example, China is facing the challenge of an aging population, with the proportion of elderly people aged 65 and above continuing to rise. In order to deal with the challenges posed by aging, the Chinese government has introduced a series of policies and measures, including the Guidelines for Pension Targeted Securities Investment Funds (for Trial Implementation) in 2018 and the 2019 Opinions on Promoting the Development of Pension Services issued by the General Office of the State Council. But pension funds still face many problems, like risk management, hedging and so on. This paper will use the risk management method, asset portfolio, personalization and so on to solve the problem of pension finance, and ultimately using these financial instruments and the corresponding means, can indeed play a role in preventing risks.
Research on Development Strategies of Large Comprehensive Multinational Corporations: A Case Study of Sony
Authors: Liu Xinzheng
Published: November 2024

As a large comprehensive multinational corporation, Sony Group has faced numerous crises since the early 21st century. Once a giant in the electronics industry, it showed signs of decline in the millennium era. This paper analyzes Sony Group from four aspectsstrengths, weaknesses, opportunities, and threatsusing the SWOT analysis method. The research finds that Sony Group's strengths lie in its broad product market and significant growth opportunities in the internet age. However, it also faces weaknesses in its adaptability to technological changes and the demands of the times, as well as threats from a highly competitive environment. Based on these conclusions, this paper suggests that Sony Group should maintain relatively stable operations by leveraging its business advantages in the global market. It should strive to provide more advanced products to a wide range of consumers and industry users, utilize the rapidly growing internet technologies to transform more online entertainment experiences, and offer differentiated products and services in a competitive environment. This study provides a comprehensive analysis of large multinational corporations, with a novel case study that offers new reference samples for the application of the SWOT analysis method.
Research Trend in the Development of Environmental, Social, and Governance (ESG)
Authors: Zhao Wu
Published: November 2024

ESG (Environmental, Social, and Governance) is a set of standards used to measure a company's performance in environmental protection, social responsibility, and governance structure. ESG has been increasingly mentioned at both corporate and societal levels, ESG directly or indirectly influences various factors in the external environment, promoting the sustainable development of social resources. This paper explore the themes and key issues of ESG, the role and impact of ESG, and the risk and challenge analysis. Companies should formulate clear ESG strategies, establish applicable ESG performance evaluation systems, communicate with stakeholders, enhance employee awareness of ESG, and seek sustainable development solutions through innovation and collaboration. By scientifically and effectively implementing ESG, companies can achieve a win-win situation of economic and social benefits, truly achieving sustainable development.
Enhancing Artistic Style Transfer: Integrating CycleGAN, Diffusion Models, and Neural Painting for Monet-Inspired Image Generation
Authors: Li Yuening , Yu Runxuan , Amarnani Sparsh , Bhatt Sunny , Xie Yushan
Published: November 2024

This project explores various approaches to style transfer, specifically focusing on transforming natural images into the iconic style of Claude Monets paintings. We explored three methods: CycleGAN-based, neural painting-based, and diffusion- based. CycleGAN enables style transfer between domains without paired training data, neural painting simulates the physical painting process, and diffusion models leverage a denoising process for high-quality results. To evaluate the effectiveness of these approaches, we conduct a survey assessing the aesthetic appeal, naturalness, and adherence to Monets style of the generated images. Our analysis provides insights into the strengths and limitations of each method and identifies areas for future improvement in reproducing Monets iconic style.
Study on the Optimization of Three-Layer Glass Thickness Using Ant Colony Algorithm to Reduce UV Transmission
Authors: Guo Yuheng
Published: November 2024

This study introduces an ant colony algorithm-based method for optimizing the thickness of triple-layer glass to minimize ultraviolet (UV) transmission, thereby enhancing protection against harmful rays within indoor environments. A physical model of triple glazing was employed to systematically analyze how variations in glass thickness impact UV transmittance. Utilizing the ant colony algorithm, the research team conducted extensive iterative optimizations to determine the most effective thickness combinations, which proved successful in substantially reducing the transmission of particularly damaging short-wave UV rays. Extensive simulations conducted in MATLAB supported the experimental results, confirming the significant improvement in UV protection offered by the optimized glass structure. This innovative approach not only establishes a solid foundation for the future development of advanced glass design but also underscores the versatility and efficacy of the ant colony algorithm in material engineering. Looking ahead, the research will focus on refining the algorithm's parameters to enhance its precision and extend its application to other areas of architectural and material science, aiming to meet broader environmental and health safety standards.
Quantum Ant Colony Algorithm for Solving the Traveling Salesman Problem: A Theoretical and Practical Analysis
Authors: Li Yida
Published: November 2024

The quantum ant colony algorithm (QACO) is explored as a solution to the traveling salesman problem (TSP), targeting inefficiencies such as slow convergence and local optima entrapment found in traditional ant colony optimization (ACO) methods. By integrating quantum computing elements, specifically quantum rotation gates and qubits, into the ACO framework, QACO demonstrates enhanced efficiency and faster convergence. This paper delves into the foundational principles of quantum computing and their application to refine ACO, effectively solving the TSP. An in-depth analysis is provided, showcasing QACO's advantages over traditional ACO through empirical examples. These examples illustrate QACO's potential to improve path planning for applications within the rapidly growing e-commerce and logistics sectors. The integration of quantum mechanisms facilitates a more dynamic pheromone update process, which significantly reduces the likelihood of premature convergence and enhances solution quality in complex optimization scenarios. This advancement indicates a promising direction for future research in algorithmic optimization in both theoretical and practical applications.
Logistics Robots Based on SLAM: Current Status and Future Trend
Authors: Li Wenhao , Liu Zuodong , Zhang Zixuan
Published: November 2024

The application of logistics robots has become an important part of improving industrial production efficiency, and the key technology to achieve precise positioning and path planning of logistics robots is SLAM (simultaneous localization and mapping) technology. At present, this application has gradually become the focus of research by scholars National and international. Given the growing importance of this technology, this paper provides a comprehensive analysis and summarizes some of the recent literature relating to this technology. To gain a clearer understanding of the state of research and development in this area, this paper provides a comprehensive analysis and summary of some recent literature. Firstly, the paper carefully summarizes the application of SLAM technology in logistics robotics operations. Secondly the current status and development trends of logistics robots. Finally, the paper enumerates the pros and cons of the current technology advantages and limitations of the current technology and suggests possible solutions for future research in logistics robotics.
A Cross-City Traffic Flow Prediction Framework Incorporating Holidays and Weather Factors
Authors: Cui Shuhang
Published: November 2024

Although graph neural networks are widely used in urban traffic flow prediction research, they often face challenges related to data scarcity. Cross-city transfer learning presents a promising and cost-effective solution to this problem. This study introduces TransGTR-MCA (Meteorological and Calendrical Aware), an advanced model for cross-city traffic flow prediction based on the TransGTR framework. TransGTR-MCA utilizes a Graph Structure Learning framework that creates adaptive graph structures dynamically, without depending on predefined adjacency matrices. This method enhances the ability to capture complex spatial dependencies, especially in cross-city contexts. A key innovation of the model is its incorporation of external factors like weather and holidays, which allows for a thorough consideration of the unique climatic and cultural traits of different cities. This integration aims to improve the transfer learning process across various urban settings. To assess the model's effectiveness, experiments were carried out using three benchmark datasets for traffic flow prediction: METR-LA, PEMSD7M, and SZ-TAXI. The results demonstrate that the TransGTR-MCA model outperforms others in short-term predictions. Specifically, when transferring knowledge from the U.S. METR-LA dataset to the Chinese SZ-TAXI dataset, the model achieved a notable 2.73% reduction in error for 5-minute predictions, highlighting its potential for cross-cultural urban traffic forecasting.
Explore Real-time Path Planning Algorithms For Autonomous Vehicles In Dynamic Environments
Authors: Zhao Zhexuan
Published: November 2024

In recent years, the technology of autonomous driving has aroused wide concern in the society. This paper aims to introduce the principle of four kinds of path planning algorithms mainly applied to automatic driving technology and point out their advantages and disadvantages. In dynamic environments, perfect automated driving technology should be able to avoid obstacles completely. This means it can face uncontrollable factors such as pedestrians and vehicles on the road. This means that automated driving technology can improve traffic safety and avoid accidents. The algorithm should also be able to calculate the best path and speed to reduce traffic congestion. Calculate the traffic sequence between vehicles to improve traffic efficiency. In dynamic road conditions, the real-time path planning algorithm mainly faces the requirements of environment change, algorithm smoothness and real-time performance. In this paper, the Dijkstra algorithm, A* algorithm, RRT algorithm, PRM algorithm and MPC algorithm are analyzed and compared. This paper focuses on the advantages and limitations of algorithms, summarizes the shortcomings of five algorithms, and puts forward some ideas for future research.
Prediction of Beijing's PM2.5 Concentration Based on the LSTM Model
Authors: Li Yisheng , Wu Jiaxi
Published: November 2024

PM2.5 has serious impacts on cardiovascular and respiratory health. As people's attention to physical health increases, the issue of PM2.5 has become increasingly prominent. The goal of this research is to create a prediction model for Beijing's PM2.5 concentrations using the Long Short-Term Memory (LSTM) deep learning algorithm. This paper utilizes PM2.5 measurements from the US Embassy in Beijing and meteorological data from Beijing Capital International Airport from 2010 to 2014. The study forecasts PM2.5 concentrations via the LSTM model by integrating variables such as temperature, pressure, and wind speed. The results of this study validate the feasibility of the LSTM model in predicting PM2.5 and yield relatively good prediction outcomes. It is evident that concentrations are lower in the summer and higher in the winter. However, the prediction results are lower compared to the actual data and are not effective in predicting drastic changes caused by other influencing factors. The results provide information for the creation of more efficient air quality management plans by exposing the connections between PM2.5 and different meteorological variables.
The Dual Face of Smart Glasses: Health Benefits, Lifestyle Convenience, and the Hidden Challenges
Authors: Wu Wentao
Published: November 2024

Smart wearable devices have transformed how individuals track health and manage daily activities, providing real-time insights into vital signs and convenient fitness monitoring. Yet, these advancements come with challenges, including data privacy risks, measurement accuracy concerns, and potential over-reliance for health decisions. This study aims to balance the promise of health benefits and lifestyle convenience against these challenges. Limitations include evolving data security standards and measurement technologies, suggesting that future smart wearables should prioritize user safety through enhanced security and more robust health metrics.
Intelligent Agent and NPC Behavior Modeling: From Traditional Methods to AI Driven Interactive Game Design
Authors: Zhou Jiansong
Published: November 2024

In recent years, artificial intelligence (AI) related technologies have been widely applied in the gaming industry, bringing enormous commercial value. Research has shown that non-player characters (NPCs) embedded with AI technology are more intelligent, popular among players, and can make them feel challenged and amused. Major game companies have established their own AI studios to invest energy in designing more intelligent NPCs, making the NPCs deployed in games increasingly superior. However, there is still a lack of comprehensive induction and summary of the behavior modeling design methods for NPCs. Therefore, this article focuses on providing a more comprehensive summary of this field, by searching and comparing relevant examples in existing game and research results of NPC design, summarizing and generalizing different types of methods, then analyzing and comparing the advantages and disadvantages of traditional algorithms and AI algorithms, as well as their usage scenarios, and proposing potential methods for the future in the end.