bluuebunny/crossref_metadata_2025 huggingface dataset:
Unilateralità e bilateralità in Spagna
Authors: Botti Federica
Published: October 2024

Unilateralism and bilateralism in Spain
ABSTRACT: The aim of this research is to determine if the system of relations between the Spanish state and religious denominations adheres to a bilateral logic, as the principle of cooperation suggested at first glance.
SOMMARIO: 1. Premessa - 2. Il principio di cooperazione: quadro generale dei rapporti tra Stato e Chiese - 3. Gli Accordi concordatari con la Chiesa cattolica - 4. La Legge organica sulla libertà religiosa - 5. Gli accordi di cooperazione - 6. Le Comunità autonome e la regolamentazione del fenomeno religioso - 7. Questioni aperte - 8. Il caso delle comunità ortodosse - 9. Una breve conclusione.
Law and Religion: Destruction and Reconstruction
Authors: Corsalini Matteo
Published: October 2024

Diritto e religione: decostruzione e ricostruzione
ABSTRACT. In the 1940s, Austrian economic Joseph Schumpeter coined the concept of “creative destruction” to describe how capitalism evolves through the relentless and continuous dismantling of its old paradigms. Fast forward to the present, British and American scholars Russell Sandberg and Marc O. De Girolami are emerging today as contemporary “creative destroyers” in the field of law and religion. Pointing to the pathologies affecting the intellectual development of the discipline and prescribing possible remedies, this paper introduces and discusses two recent works by the Authors as part of their efforts to critically deconstruct law and religion and project it into the future.
SUMMARY: 1. Introduction - 2. Repentance - 3. Reappraisal- 4. Regeneration - 5. Discussion - 6. Death and New Life - 7. Conclusions.
INCIDENCE OF CONTRAST-INDUCED NEPHROPATHY FOLLOWING CHRONIC TOTAL OCCLUSION PERCUTANEOUS CORONARY INTERVENTION
Authors: REHMAN SU , HUSSAIN SA , SHAHID M , SULAIMAN MR , ARBAB MA , KHAN S
Published: October 2024

Contrast-induced nephropathy (CIN) is a potentially serious complication following percutaneous coronary intervention (PCI), particularly in patients with chronic total occlusion (CTO). It is characterized by an acute deterioration in renal function after exposure to contrast media. CIN is associated with increased morbidity, hospital stays, and long-term renal outcomes, making it crucial to identify and mitigate its incidence. This study aimed to evaluate the incidence of CIN in patients undergoing CTO-PCI and its associated complications. Objective: To assess the incidence of contrast-induced nephropathy (CIN) following percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) and evaluate in-hospital complications, hospital stay duration, and short-term mortality. Methods: This cross-sectional study was conducted with ethical approval at a tertiary care hospital, including 118 patients who underwent PCI for CTO at the Department of Cardiology, Lady Reading Hospital Peshawar, Pakistan from 10th June 2023 to 09th June 2024. Standardized pre- and post-procedural hydration protocols were implemented to reduce the risk of CIN, and non-ionic, iso-osmolar contrast agents were used. CIN was defined as a 25% increase in serum creatinine or an absolute increase of ≥0.5 mg/dL within 48–72 hours post-procedure. Data on demographic characteristics, complications, and mortality were collected and analyzed using SPSS Version 25, with categorical variables expressed as percentages and continuous variables as means. Chi-square tests were used to assess statistical significance, with P-values < 0.05 considered significant. Results: Of the 118 patients included, the mean age was 56.34 years, and 52.5% were male. Age distribution showed that 43.2% were between 51-60 years, while 33.1% were between 61-70 years. CIN was observed in 6.8% of patients, with 9.7% of males and 3.6% of females affected (P=0.188). In-hospital complications included arrhythmias in 4.2% of patients, heart failure in 0.8%, and mortality in 0.8%. Hospital stay averaged 5.94 days, with no significant differences in CIN incidence across age groups (P=0.186). Conclusion: The incidence of contrast-induced nephropathy following PCI for chronic total occlusion is a clinically significant issue, affecting 6.8% of patients despite preventative measures. This emphasizes the need for ongoing risk assessment, monitoring, and the implementation of effective prevention strategies. Further research is warranted to refine risk stratification tools and develop targeted interventions to minimize CIN incidence, particularly in high-risk patient populations.
Serious Games for Improving Mental Health: Status and Prospects
Authors: Huang Ying
Published: October 2024

With the rapid development of time and technology, the significance of digital game development cannot be underestimated. In today's era, games have permeated thousands of households, encompassing a wide range of genres. They are no longer solely entertainment products but also can be applied in education, medical care, learning, scientific research, and other fields. Research indicates that serious games (games designed to teach knowledge and skills or provide professional training and simulation) can effectively improve mental health. This review discusses the current status and future prospects of serious games in promoting mental health. It presents a comprehensive classification of serious games by integrating several literature resources, synthesizing information and data analysis to investigate their effectiveness in improving mental health outcomes. The findings show that serious games play a certain role in the treatment of mental illness. However, the current body of research is not without limitations, as there exists a dearth of controlled experiments comparing the efficacy of serious games to other types of games and investigating the effectiveness of gamification techniques. To address these gaps, researchers and designers should further prioritize approaches such as emotional design and participatory design. Additionally, leveraging emerging technologies like virtual reality can facilitate the development of adaptable game designs and methodologies that align with evolving societal needs.
The Influence of Artificial Intelligence on the Education System
Authors: Li Weixi
Published: October 2024

The rapid development of artificial intelligence has had a huge and far-reaching impact on the field of education. The deep integration of artificial intelligence and education has promoted the emergence and development of artificial intelligence educational applications. Today's AI is not only a tool to enhance the learning experience, but also an important promoter of changing traditional teaching models and educational management methods. This article explores the acceptance and views of AI in different cultural backgrounds, and deeply analyzes the ethical issues that may arise in the application of AI in education, such as academic misconduct, algorithmic bias, and data privacy protection. Studies have shown that AI can help improve the personalization and efficiency of education, but its widespread use may cause students to rely on technology and weaken their critical thinking ability. In addition, if the bias in the algorithm is not effectively controlled, it may exacerbate inequality in education. The significance of the paper lies in providing theoretical support for the combination of AI and education, and putting forward constructive suggestions for balancing technological progress and human education elements in the future.
Legal Analysis of Women's Right to Education in China and Exterritoriality: From a Comparative Perspective
Authors: Chen Zhuo
Published: October 2024

Women's right to education is an important aspect that reflects the degree of social development and whether a country is practicing the gender equality. With deeper globalization and the international community's increasing focus on gender equality, women's right to education continues to expand, and the transformative power of education to empower women is becoming much more visible. Although significant progress has been made by most countries in the world in this matter, there are still gaps because of different factors such as social culture, economic environment and law-making. As society develops, there will be new problems and challenges. The purpose of this paper is to analyze the relevant legislation in China and the US, combining the definitions of women's right to education, its interpretation and the history of the protection of related rights in both countries, to compare the similarities and differences between the two sides in protecting women's right to education, and to put forward implementable suggestions on potential challenges, so that women's legitimate right to education can be better protected.
An Analysis of the Dilemma of Developing Media Literacy Education in China
Authors: Gao Yixin
Published: October 2024

Though media literacy education appeared as an independent discipline in some developed countries in the 20th century, it has only just begun in China in the 21st century. Nowadays, with the advancement of the Internet and science and technology, media literacy education has emerged as a prominent issue of global concern. As such, the rapid economic and scientific development of China, the largest developing country, has led to increasing demands for media literacy. Therefore, the paper presents an analysis of pertinent studies on efficacious media literacy education programs in developed countries, including the United Kingdom, the United States, and Canada, and compares the current situation of media literacy education in China in terms of educational policies, schools, and social practices. In addition, it also points out the dilemmas facing the development of media literacy education in China, including the rapid updating of technology and platforms, the lack of selection and evaluation of media content, social inequality, and the digital divide. China should actively learn from the international advanced cases of media literacy education, so as to make Chinas media education better adapt to the information age of the 21st century, strive to solve the current media problems as soon as possible, and explore a localized road of media literacy education.
Reflections of the Soul: A Cinematic Trilogy of Forceful WomenThe Assassin, the Writer, and the Worker
Authors: Jiang Yan
Published: October 2024

Abstract: When the film and television work in the form of a "big heroine" appears, it is known that a strong female image; the woman at the peak of life, even at the top of the world, is shaped as a "sense of power woman". But the life logic of these women, the ruling logic, and the fundamental victory of the narrative logic battle can all be attributed to the space of male logic. Therefore, the representation of women's sense of power in the films and documentaries examined by the author today does not involve women who merely simulate strength through male narrative logic. Instead, it focuses on women who authentically follow their own realities. These are women who are secretive and composed assassins, talented writers, and resilient workers. They are allowed to be emotionally vulnerable, have the right to make their own choices, and genuinely embody a sense of power.
Analyzing the Commercial Success of the Film Barbie
Authors: Ding Yiran
Published: October 2024

Abstract: The movie "Barbie" was released globally in 2023 and has garnered a large fan base worldwide, achieving significant artistic and commercial success. This article focuses on analyzing the reasons behind "Barbie's" commercial success, primarily covering the global influence of the Barbie IP, its alignment with current pop culture trends, the feminist core of the film, and aspects of its production, including the cast, music, set design, and scenery. Through this analysis, the article confirms Barbie's success in the global box office market. The success of "Barbie" has resonated with a wide range of social groups and has encouraged the spread of feminism. The social impact of "Barbie" is substantial enough to leave a mark on the milestone of film production for the movie and its production team. This commercially successful film with a feminist core is also set to spark a wave of thought in Hollywood and worldwide, encouraging and promoting the flourishing of feminism and feminist films.
A Historical Analysis of Conflict, Decline, and Renewal
Authors: Zhang Xingzhi
Published: October 2024

Abstract: Over the past five decades, the concept of civilization has been widely discussed among scholars, policy makers, and the general public. The academic community has published a great deal of research on topics such as the clash, decline, collapse and revival of civilizations. Many scholars believe that the interaction and conflict between different civilizations are important factors in the course of human history. At the same time, governments are faced with the challenges posed by the clash of civilizations over ethnic, regional and national issues, which often lead to social unrest and political instability. For most people, their standard of living, economic status, and level of education are greatly affected by the civilization in which they live. The study of civilization should not only be limited to specific people, times or places, but should also be examined in the broader historical process. This paper proposes that a more realistic and objective perspective can be obtained only through the in-depth study of the historical process of civilization.
Research on the Application of Big Data in Education
Authors: Hou Yixuan
Published: October 2024

Abstract: In the context of the big data era, artificial intelligence, data analytics and other technologies related to big data are developing rapidly and are gradually being applied in various industries to become important tools in various fields. The combination of development with big data technology also becomes the inevitable development direction of each industry. In education, it is also necessary to seek change and development, so the combination of education and big data technology enables the education industry to better explore the future development direction and possibilities. This paper uses the method of literature review to study the use and opportunities of big data in education, and considers the possible future directions and risks of its use. The integration of big data technology and education can effectively solve the problems of traditional education and has a lot of room for development. The use of big data technology helps education to better adapt to the characteristics of each student and achieve personalized education and development. The research in this paper provides a direction for the development of education, and puts forward a practical path of combining with big data, and puts forward reasonable suggestions for the development of the education field.
Transforming Assessment in Education: A Critical Reflection
Authors: Ding Ma
Published: October 2024

Abstract: This article systematically explores the evolution of educational assessment, particularly the transition from traditional summative assessments to student-centered formative assessments. Traditional summative assessments, such as final exams and standardized tests, focus on evaluating students' learning outcomes at the end of an instructional period, emphasizing final scores. In contrast, formative assessments focus on continuous feedback throughout the learning process, helping students adjust their learning methods and improve self-regulation skills. The article highlights that formative assessments not only foster the development of critical thinking and problem-solving abilities but also encourage students' self-directed learning and reflection. Additionally, with the advancement of modern technology, educational assessments have become more flexible and personalized, utilizing data analysis and online tools to enable teachers to monitor students' learning in real-time and make dynamic adjustments. The introduction of culturally responsive assessments ensures fairness by considering students' diverse backgrounds, reducing potential biases. The article emphasizes that educational assessments should continuously adapt to changing educational needs, providing practical guidance for educators to design effective strategies, which play a significant role in improving student learning outcomes and teaching quality.
Poetic Disillusionment and Immortal Struggles: A Comparative Study of Lin Daiyu and Jane Eyre
Authors: Zhang Shumeng
Published: October 2024

Abstract: Lin Daiyu and Jane Eyre are both well-known characters in world literature. Though they are created by writers from different cultures in different times, many studies have found that they have many similarities and worth comparing. However, there is a lack of comprehensive understanding in Lin Daiyu and Jane Eyre's similarities and differences as well as the factors that influence them. Aiming to compare Lin Daiyu and Jane Eyre experiences and characteristics roundly, this essay not only summarizes previous studies, but also divides into three aspects to compare Lin Daiyu and Jare Eyre, which are personalities, love experiences and growth environment. It is found that Lin Daiyu and Jane Eyre both respect themselves as well as others, with strong self-esteem and the value of equality. At the same time, they both show their courage to resist unreasonable things in society. They both pursue pure love without material desires, while Lin Daiyu regards love as more important than Jane Eyre. Jane Eyre's harsh growth environment with simple relationships gives her tenacity, while Lin Daiyu's seemingly enjoyable growth environment with complicated relationships makes her more sensitive. The different experiences and values of the writers also have a significant influence on the characters they create. Comparing two famous characters from different cultures allows us to learn more about the themes of great literature works and witness the image of a group of people from different historical background.
Misinformation and Personality: Big-5 Trait Related to Misinformation Believing and Sharing
Authors: Chen Xinyi
Published: October 2024

Abstract: With the advancement of media and the proliferation of new digital platforms, the Internet has become the primary channel through which individuals access information. However, this shift has also heightened the likelihood of people believing and sharing misinformation. This article explores the relationship between personality traits and the propensity to believe and share misinformation. Through a comprehensive literature review, the associations between the Big Five personality traits and misinformation are analyzed and summarized. The findings suggest that extraversion is positively associated with the belief in and sharing of misinformation, whereas conscientiousness and agreeableness are negatively associated with these behaviors. In contrast, openness to experience and neuroticism do not show a significant relationship with misinformation, belief, or sharing. At the specific period, extroversion, openness to experience and neuroticism show the positive relationship with misinformation believing. Moreover, extroversion has positive relationship with misinformation sharing during epidemic period. Effective interventions to mitigate the belief in and sharing of misinformation can include strategies such as leveraging social norms, peer influence, and promoting critical thinking. However, these interventions should be tailored to align with different personality traits to maximize their effectiveness.
The Image of China in Russian Literature from the Early 20th Century to the 1950s
Authors: Luo Ling
Published: October 2024

Abstract: In recent years, scholars from various countries have begun to focus on the theme of the East in their literary studies, and more attention has been paid to the image of China in Russian literature. However, most of the studies on Russian literature in the first half of the 20th century focus only on the Silver Age, and pay less attention to the image of China in Russian literature of other eras. This article focuses on the early 20th century to the 1950s, when Russia interacted with China most frequently, systematically combing it with the specific historical background and international situation of the times, and presents a complete image of China in the Russian literature. The study found that although Russian writers of each era had different experiences about China, and their own writing intentions were different, even the images of China written by Russian writers of the same era presented different characteristics, Russian literature from the early 20th century to the 1950s consistently reflected the social realities of both China and Russia. In fact, the process that Russian writers from the early 1900s to the 1950s constructed a more realistic and complete image of China was also a process that literary creation broke through national stereotypes. The evolution of the image of China in Russian literature from the beginning of the 20th century to the 1950s reflects the process of mutual interaction between the cultures of China and Russia, and also symbolizes the macro-trend of the world's national cultures to continuously eliminate the barriers between them and mingle with each other.
Strategic Innovations in Apple's Supply Chain Management: Objectives, Methods, and Strategies for Navigating Global Market Challenges
Authors: Zhao Wen
Published: October 2024

This study looks at global supply chain risks and remedies in the context of Apple Inc.'s supply chain, which is renowned for being efficient and complicated. Apple's supply chain management strategy (SCM) optimizes costs and efficiency by integrating the planning and control of manufacturing, distribution, and sales. Efficient worldwide product delivery and very high operational standards are guaranteed by centralized strategic decision-making and collaboration with key suppliers like Foxconn. The report emphasizes how Apple uses cutting-edge logistics technology to reduce risks like supply interruptions and geopolitical unrest, which are becoming more common in today's international marketplace. Additionally, the study holds that in order to gain a long-term market competitiveness and manage a more uncertain external environment, today's smart device and electronic equipment manufacturers represented by Apple need to embrace the wave of digital transformation and increase resilience through strategic innovation and the construction of ethical and sustainable supply chains. This entails building morally and environmentally sound supply networks as well as implementing strategic innovations that increase supply chain resilience. Businesses that use this approach not only mitigate short-term risks but also establish a strong basis for sustained prosperity, guaranteeing their ability to adjust and prosper in the dynamic international arena.
Impact of Artificial Intelligence on Auditing and the Future of Human Workforce Replacement
Authors: Du Xinyu
Published: October 2024

The advancements in artificial intelligence (AI) over the recent years have been drastic and stunning, and they have revolutionized the world in such ways as influencing the advancement of other fields such as accounting. This research paper aims to study the deep influence of Artificial Intelligence (AI) on the auditing profession. They plan to assess the strengths and the existing applications to auditing: machine learning, natural language processing, deep learning, and robotic process automation. These technologies allow the auditors to identify issues that they were previously unable to, or it would have taken them so much of their time to be able to locate. The paper also brings out the various risks related to the application of AI to auditing tasks. Some challenges include data quality and its privacy, ethical dilemmas, opaqueness, and regulatory matters on the use of Artificial Intelligence. Also, the soundness of AI choices and the ability to explain such decisions remain an issue, especially with complex financial data that depend on human perception and experience. Additionally, the paper also examines the possibility of AI imposing to replace human auditors in the future while comparing the technological aspects of the audit together with the humanistic aspects.
The Impact of Parental Education on Childrens Future Income
Authors: Jiang Bowei
Published: October 2024

Abstract: This study examines the casual effect of parental educational achievement and family background on educational outcome and income for children. In addition, the study tests the parental education as an instrumental variable for childrens education. The 2022 United States General Social Survey (GSS2022) has been used as the dataset. This article uses Mincer earning function and instrumental variable regression to generate the outcomes between parental status, parental educational achievement, and the outcomes for children. The result indicates that the impact of parental educational achievement and advantage family background on income for children is negligible. The result also shows that the education has a significant effect on income. Furthermore, the study finds out that there is significant correlation between parental educational achievement and the educational achievement for children. In addition, the advantage family background has a significant impact on educational attainment for children. Moreover, the instrumental variable regression outcomes indicate that the difference between IV regression and OLS regression is small. This research uses the latest dataset to find out the casual effects of family background and parental education on childrens education and future income.
Research on the Impact of Digital Financial Inclusion on Household Financial Assets
Authors: Wu Jun
Published: October 2024

Amidst the relentless and daily acceleration of digital technology's evolution, digital inclusive finance, a pivotal branch of financial innovation, is flourishing at an unprecedented pace. It has widely penetrated into every facet of socio-economic life, especially exerting a profound impact within the family dimension. Thus, this paper aims to investigate the impact of digital inclusive finance on household financial assets. By adopting the digital inclusive finance index as the independent variable and household financial assets as the dependent variable, this study incorporates indicators such as the household head's age, education level, and risk appetite as control variables to construct a regression model for quantifying the relationship between the two. The research concludes that the development of digital inclusive finance promotes the growth of household financial assets and facilitates rational allocation of household assets, thereby assisting households in wealth management. Finally, addressing the existing issues in the field of digital inclusive finance, including the significant urban-rural development gap, customer information leakage, and low financial literacy among residents, this paper proposes corresponding solutions aimed at promoting the healthy development of digital inclusive finance and enabling it to better serve the households.
Research on Collaborative Strategy of Supply Chain Management under the Background of NIKE Mass Customization
Authors: Lin Jiahao , Shi Yitong , Yu Xiaomeng , Zhu Siyu
Published: October 2024

Abstract: With the continuous advancement of technology and the popularization of the Internet, consumers' demand for personalized products is increasingly high. Traditional production modes have been unable to meet consumers' demands for product uniqueness and personalized experiences, which requires manufacturing enterprises to shift towards mass customization modes with unique advantages in production efficiency and cost control. Taking Nike as an example, this paper analyzes its supply chain problems based on its financial report. It then explores Nike's mass customization process using C2M and 3D printing, as well as information collaboration methods in the supply chain. Additionally, the paper analyzes AR-based virtual fitting technology and evaluates Nike's internal matrix organizational structure for customization and collaboration. From the perspectives of Nike's technology level and internal organizational structure, this paper analyzes the supply chain management and information collaboration process in its mass customization process, aiming to provide references for related manufacturing industries in enterprise operation and technology application during the mass customization process.
Research on Portfolio Investment in the Risky U.S. Stock Market Based on
the Mean-Variance Model
Authors: Liu Sishan
Published: October 2024

Against the backdrop of a thriving securities market and economy, there
is a growing demand among investors for stock portfolio models in risky
markets. This paper explores the application of the mean-variance model in
this context, aiming to assist investors in making more informed investment
decisions in an uncertain market. Through an in-depth analysis of the
mean-variance model, the main conclusion of this paper is that certain
stocks, such as AAPL, receive a higher investment proportion due to their
lower risk and stable expected returns. In contrast, some high-risk or
low-expected-return stocks, such as SBUX, MSFT, and QCOM, hold a smaller or
zero proportion in the portfolio. This conclusion highlights the importance
of balancing risk and return when constructing a portfolio and provides
investors with specific asset allocation recommendations. It can help them
effectively control risk while pursuing maximum returns, thereby achieving
long-term stable investment gains.
Research on the Feasibility of Machine Learning Methods in Stock Price Prediction
Authors: Yu Yixuan
Published: October 2024

Abstract: Stock price prediction has always been an important topic in financial research. Accurate price prediction can not only help investors make informed investment decisions but also enhance market stability and reduce systemic risk. In recent years, with advancements in computing technology and data science, machine learning methods have been increasingly applied in the financial field. Compared to traditional methods, machine learning methods can better handle high-dimensional, nonlinear, and large datasets, thus demonstrating higher prediction accuracy and applicability in stock price prediction.This paper reviews relevant literature and selects five models for empirical research: Support Vector Machine (SVM), Long Short-Term Memory network (LSTM), LightGBM, a combination of LSTM and LightGBM, and Convolutional Neural Network (CNN). The effectiveness of these models in predicting the stock price of Meituan-W (3690) was analyzed and compared in detail. The experimental results show that the LightGBM model performs best in terms of Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE), proving its significant advantages in handling large-scale, high-dimensional, and nonlinear data. By comparing the prediction results of different models, this paper explores the strengths and weaknesses of each model and their feasibility and effectiveness in practical applications. Machine learning methods have significant potential in stock price prediction, model selection needs to comprehensively consider data characteristics, computational resources, and practical application scenarios.
Predicting Housing Prices Using Supervised Machine Learning Models
Authors: Zhang Haiyi
Published: October 2024

Abstract: Variations in housing prices exert a profound impact on economic policies and personal financial decisions. This study aims to delve into the factors that affect housing prices and construct a predictive model using machine learning techniques. Machine learning enables computers to acquire knowledge from data and make predictions or decisions. This study forcasts house prices by analyzing the characteristics of data from Seattle, Washington using machine learning multiple linear regression, polynomial regression, and K-nearest neighbors regression (KNN). The findings of this investigation demonstrate that the polynomial regression model is the most accurate in predicting housing prices and can capture nonlinear relationships in the data more effectively than multiple linear regression and K-nearest neighbors regression. The main factors affecting housing prices are interior living space and the construction and design of buildings. These insights hold potential for enhancing government policies, facilitating effective land use decision-making by planners, and enabling investors to make more informed choices.
Market Reaction to ESG Information Disclosure A Case Study of Midea Group
Authors: Yang Yuqi , Li Xuanyu
Published: October 2024

Abstract: As global environmental issues become increasingly severe, investors are paying more attention to corporate sustainability. They realize that focusing solely on financial performance is insufficient; a company's environmental, social, and governance (ESG) performance must also be considered. In China, with the goal of carbon neutrality highlighting the importance of ESG, concepts such as ESG investment, reporting, and rating are flourishing. Corporate ESG actions are becoming a new focal point for investors. This paper takes the ESG information disclosure of Midea Group as a case study, using an event study model to explore the stability of the companys stock price and the variation in its returns during the event window, thus analyzing the market's short-term reaction to ESG information. The study finds that the ESG reports issued by Midea Group have a positive impact on the stock market to some extent, significantly reducing stock price volatility and inducing a positive trend in abnormal returns.
The Application and Challenges of Vehicle-to-Grid (V2G) Technology in the Development of New Energy Vehicles
Authors: Yang Bihe
Published: October 2024

Abstract: The global automotive industry has entered a phase of energy-saving and low-carbon development, with the advancement of new energy vehicles becoming the strategic direction for automotive industries worldwide. However, the large-scale integration of electric vehicles into the power grid has imposed significant challenges on the operation of the electrical grid. This article analyzes Vehicle-to-Grid (V2G) technology, introducing its main functions, key technologies, and advantages, and outlines the current state of its application both domestically and internationally. Additionally, the obstacles hindering the development of V2G technology in China are examined, and several strategies to accelerate the development of V2G technology in China are proposed. It is hoped that these measures will encourage both the government and enterprises to take active steps towards promoting the rapid development of V2G technology.
Application and Challenges of Battery Swapping Technology in the Development of New Energy Vehicle
Authors: Cao Ben
Published: October 2024

Abstract: With the rapid growth of the new energy vehicle market, the construction of battery swapping stations has become an effective solution to the problem of insufficient charging facilities. Battery swapping technology can improve energy replenishment efficiency, alleviate pressure on the power grid, reduce charging costs through overnight charging, and increase battery utilization and profitability. However, battery swapping technology faces issues such as standardization, high costs, technical and safety challenges, and low market acceptance. It is suggested to promote standardization, government policy support, technological innovation and safety enhancement, the construction of a widespread battery swapping network, as well as innovation in business models and market promotion to promote the development of battery swapping technology.
An Analysis of the Impact of Population Ageing on Inflation in China
Authors: Wu Wei
Published: October 2024

Abstract: The relationship between demographic change and economic development is one of the most recent and important research topics. Researchers have found that aging will have a certain impact on inflation, but there is still a research gap and controversy on China's inflation problem. Therefore, this paper collects data on the aging process of China's population and inflation rate between 2004 and 2023 and applies graphical analysis and literature analysis to study the data to try to find a cleaner relationship. Through the research, it can be concluded that China's changing population structure has a relatively inhibitory effect on inflation and a negative effect on economic development. The reason may be that the decline in the labor force caused by population aging has a greater impact on aggregate demand than on aggregate supply. Overall, to reduce the impact of the deepening process of population aging, postponing the retirement age and developing the elderly care industry can be an effective way to boost aggregate supply growth to control the increased inflation rate.
A Financial Analysis and Valuation of Pfizer
Authors: Wei Yutong
Published: October 2024

Abstract: The rational valuation of the healthcare industry and the analysis and research of the financial risks faced by enterprises can not only provide a basis for rational investment and transaction pricing decisions, but also help enterprises to find out the shortcomings of the production and operation, so as to improve the management mode of the enterprise, and help enterprises to achieve the maximisation of management. Firstly, this paper analyse the risks faced by Pfizer from a financial point of view by quantitatively comparing the data of Pfizer and its two competitors, Amgen and Unitedhealth Group, and then qualitatively analysing their characteristics in terms of liquidity, solvency and profitability and the reasons for this. Next, Pfizer is valued by looking at its leverage, business risk, earnings per share, etc. to measure the financial risk of the business and the reasons for the capital structure. It then gives investors an objective investment recommendation by forecasting Pfizer's future share price. The study concludes that Pfizer Inc. is illiquid, has poor corporate solvency, is at risk of debt servicing, and has suffered a significant decline in profitability. Valuing Pfizer, the forecast suggests that Pfizer's stock is currently undervalued.
Analysis of the Competitiveness of Digital Service Trade Between China and RCEP Partner Countries
Authors: Sun Qianhui
Published: October 2024

Abstract: Based on the digital service trade data from China and RCEP partner countries from 2008 to 2022, this study analyzes the current status of digital service trade, including export scale, structure, and policies. It calculates the international market share and trade competitiveness index, and provides an in-depth analysis of the overall competitiveness of digital service trade and the competitiveness levels by industry within RCEP countries. The study finds that while the international competitiveness of digital service trade between China and RCEP partner countries is relatively weak, the development speed is relatively fast. In response, China should increase efforts in digital infrastructure construction with RCEP partners, promote digital technology research and innovation; enhance digital security and privacy protection, and improve relevant laws and policies; reduce barriers to digital service trade, and increase the influence in formulating digital trade rules; strengthen political mutual trust among RCEP countries, and deepen cooperation in digital service trade.
Deconstructing 'Greenwashing' and 'Anti-Greenwashing' in Corporate ESG Investments: Based on Behavioral Identification, Motivation Analysis and Effect Evaluation
Authors: Yang Yihao
Published: October 2024

Abstract: With the increasing corporate attention to Environmental, Social, and Governance (ESG), some companies that do not have ESG investment strengths have also joined the ESG practice. As firms intensively integrate ESG into their operational ethos, discrepancies between proclaimed and actual ESG commitments have given rise to "greenwashing" behaviors. At present, China's research on corporate "greenwashing" is still in its infancy, and it is difficult to accurately identify corporate "greenwashing" behaviors and clarify their motives and impacts, so as to achieve the "anti-greenwashing" effect of precise governance. This paper examines the manifestations, motivations, and effects of "greenwashing" through actual case studies as well as theoretical and comparative literature research in order to propose a comprehensive framework for analyzing the nature of "greenwashing." To counteract "greenwashing," the paper combines the reality of problems to extract the insights and shortcomings of the existing research and propose multi-tiered strategies tailored to policy, corporate, and societal levels to look forward to the direction of future research on "anti-greenwashing." The aim of this paper is to promote the development of "greenwash" research and strengthen the society's awareness of "greenwash" behavior and the understanding of corporate ESG behavior, underscores the theoretical and practical significance of addressing "greenwashing." It calls for sustained research to optimize the ESG investment landscape.
Advancements in Spatial Domain Image Steganography: Techniques, Applications, and Future Outlook
Authors: Ye Jiajun
Published: October 2024

Abstract. Image steganography, a technique for transmitting secret information hidden within images over public networks undetected, serves as a discreet alternative to cryptography in the field of information security. This article explores new steganography techniques based on the Least Significant Bit (LSB) method, widely recognized for its simplicity in embedding secret data by altering the least significant bit of pixels in the spatial domain. The performance of these LSB-based methods is critically assessed using criteria such as Peak Signal-to-Noise Ratio (PSNR), embedding capacity, and histogram analysis. A comprehensive review of recent literature provides a foundation for this evaluation, highlighting advancements and identifying areas for future improvement. Additionally, the article discusses practical applications of LSB-based steganography in healthcare, government operations, and cloud storage, suggesting directions for further research and development in this subtly powerful area of data security.
Predicting Movie Box Office Based on Machine Learning, Deep Learning, and Statistical Methods
Authors: Zheng Yirui
Published: October 2024

Abstract. The global film industry has been proved to impose a significant impact on both culture and the economy, with box office revenue serving as a crucial indicator of a film's commercial success. This study utilizes data from the Kaggle "TMDB Box Office Prediction" competition, encompassing 3,000 films released between 1990 and 2018, to predict movie box office revenue using Random Forest, XGBoost algorithms, and deep learning models such as Bidirectional Long Short-Term Memory (Bidirectional LSTM) and Simple Recurrent Neural Network (SimpleRNN). The goal is to develop a model that accurately predicts movie box office. By comprehensively considering multiple factors such as budget, popularity and film characteristics, this study not only significantly improves the accuracy of box office prediction, but also provides a scientific basis for the formulation of film market strategies. The results demonstrate that the Bidirectional LSTM excels in handling complex time-series data, showing strong trend-capturing capabilities, while XGBoost exhibits greater robustness in dealing with complex data and outliers. These findings can not only provide guidance for making more effective strategies on film production and distribution, but also provide new directions for future research, such as delving into the impact of social media on box office and developing more sophisticated predictive models to adapt to changing market dynamics.
Exploring AI's Role in Enhancing Risk Assessment Models in Financial Quantitative Trading
Authors: Leng Rufeng
Published: October 2024

The application of Artificial Intelligence (AI) algorithms to financial risk management has fundamentally transformed the nature of risk and the tools being used to control and manage it. This paper examines how AI is deployed to manage market risk, including volatility forecasting, portfolio optimisation, stress testing, and sentiment analysis. While many of these models are well-accepted across the industry and underpin many front-office and risk-management processes, they are often limited in dynamic market environments where traditional linearity doesnt exist and real-time data is king. AI has brought advanced tools that can be applied to large and complex data sets, and that adapt quickly as market conditions change. Reinforcement learning algorithms are now deployed to optimise portfolio weights dynamically. Natural-language processing is also used to augment sentiment analysis, which can be leveraged to assess potential risk. Other forms of AI can be deployed to address challenges that come with more advanced AI models. Explainable AI models provide the opportunity to produce financial outcomes that are more transparent and less opaque while also helping to validate regulatory compliance. Analyzing the applications of AI case studies sheds light on why financial professionals must continue to embrace AI tools, many of which are designed to help them manage risk in an increasingly volatile market environment.
Biofuels for transport: the challenge of properly assessing their environmental impact
Authors: Dallemand Jean-François , Leip Adrian , Rettenmaier Nils
Published: October 2024

The objective of this paper is to discuss technically some causes of uncertainties related to the environmental assessment of liquid biofuels for transport. This discussion of causes of uncertainties is mainly based on three topics taken as examples. The three topics selected due to their importance in order to illustrate the complexity of environmental assessment of biofuels and the difficulty to reduce uncertainties are: 1) agro-environmental impact of bioethanol (from sugar cane) in Brazil and biodiesel (from palm oil) in Malaysia. These two tropical countries were selected due to their role of leader at world level and their strong export potential to the European Union, 2) N2O (Nitrous oxide) emissions related to biofuels cultivation and land use change and 3) Life cycle assessment (LCA) of biodiesel from palm oil in Malaysia. These three topics are discussed and recommendations are formulated in order to reduce scientific uncertainty, for example through the development of internationally agreed sustainability certification systems with corresponding verification measures or further research on emissions and indirect land use change.