bluuebunny/crossref_metadata_2025 huggingface dataset:
The Relationship Between Coffee and Weight Management
Authors: Chien Xiang-Yun
Published: December 2024

Coffee, as the most popular beverage, contains a large number of bioactive compounds, particularly caffeine and chlorogenic acids, which have an impact on metabolism. It is widely known that black coffee can aid in weight management, and current research supports this claim through various mechanisms. This paper explores the complex relationship between coffee consumption and weight management, focusing on how bioactive compounds in coffee, particularly caffeine and chlorogenic acids, influence metabolic efficiency, appetite regulation, and body composition. Research suggests that coffee can enhance energy expenditure and fat oxidation, thereby supporting stable body weight management. Additionally, coffee's impact on glucose metabolism and nutrient absorption may play a role in modulating insulin sensitivity and overall metabolic health. The influence of coffee on gut microbiota is also examined, highlighting its potential to improve digestive health and nutrient utilization. This review synthesizes current findings to provide a comprehensive understanding of how regular coffee consumption can contribute to effective weight management strategies.
Research Progress about Exploring the Impact of Jet Lag on Circadian Rhythms
Authors: Guo Junqin
Published: December 2024

Circadian rhythm, one of the fundamental laws of nature, plays an essential role in maintaining life processes. However, it is challenged by a modern situation known as jet lag. Jet lag brings disruption to circadian rhythm, breaking people's normal routine and causing troubles to peoples lives. For the past few years, jet lag have been reported frequently. More researchers have realized the importance and complexity of jet lag. Jet lag can arise from travel crossing time zones as well as from shift works, impacting several aspects of life activity including metabolism, mental health, intestinal health et cetera. Beyond the macroscopical symptoms, microcosmic alterations are as important as the symptoms. Gene expression patterns can be varied by chronic jet lag even rewrote by the chronic jet lag and have long-term effects. Fortunately, several researches have revealed the possibility to lessen the influence of jet lag to fitness. Compared to the last century, people live in modern society have more optional methods to enjoy a much more comfortable life. Melatonin therapy and chronotherapy have been presented by scientists to settle the jet lag, But for the treatment of jet lag, there are still lots of details need to be considered.
Circadian Rhythm Disruptions and Their Impact on Acute Myocardial Infarction
Authors: Wang Lin
Published: December 2024

Circadian rhythms refer to the roughly 24-hour cycle of physiological and behavioural changes in an organism that are regulated by the biological clock. In recent years, the influence of circadian rhythm on cardiovascular system has attracted wide attention. Acute myocardial infarction (AMI) is a disease of the cardiovascular system, which should not be overlooked, characterized by myocardial ischemic necrosis. Studies have shown that circadian rhythm disturbance can lead to a serious impact on the occurrence and development of AMI. Here, we highlight the relationship between circadian rhythms and the autonomic nervous system, inflammation, oxidative stress, cardiac remodelling and promising treatments. Understanding how these complex processes are interconnected is of critical clinical importance for optimizing treatment strategies and preventing the occurrence of AMI.
mRNA cancer vaccines: revolutionizing personalized immunotherapy: progress, challenges, and future directions
Authors: Wei Ziran
Published: December 2024

mRNA cancer vaccines represent a promising advancement in cancer immunotherapy, offering a personalized approach to treatment. This review explores the current state, challenges, and future directions of mRNA cancer vaccine development. Despite the global burden of cancer, traditional treatments often face limitations in efficacy and side effects. mRNA vaccines address these issues by stimulating targeted immune responses against cancer-specific antigens. Clinical trials have demonstrated their safety and tolerability, with most side effects being mild to moderate and transient. However, challenges remain, including the diversity of immune responses, mRNA stability and delivery efficiency, and limitations on efficacy in advanced cancer stages. Ongoing research focuses on optimizing immune response mechanisms, enhancing mRNA stability, and improving delivery systems. The future of mRNA cancer vaccines lies in combination therapies, particularly with chemotherapy and immune checkpoint inhibitors, which have shown synergistic effects in early studies. As the field progresses, innovations in mRNA technology and delivery methods are expected to further enhance the efficacy of these vaccines. While obstacles persist, the potential of mRNA cancer vaccines to revolutionize cancer treatment through personalized, targeted approaches remains significant, warranting continued research and development in this promising field.
Relationship between Dietary Habits and Nutritional Health, and the Characteristic Diseases of Indian Residents
Authors: Tan Haotian
Published: December 2024

This article deeply explores the complex links between dietary habits, structure, nutritional health, and disease characteristics of Indian residents. It first details the living environment and dietary background based on India's agricultural traits, including geographical location and main cash crops. Then, it analyzes the causes of specific diseases in the field of nutritional health and their relationship with dietary practices, covering disease types, causes, and associations with dietary structure. Thirdly, the dietary intake and health status of the affluent and poor people in India are analyzed detailly. It also assesses the health status and common diseases of the local population, analyzing how these relate to dietary habits and structure, considering recommended nutrient intakes. Finally, by comparing India's overall diet with those of developed countries like the US and developing countries like China, the article highlights dietary differences. These analyses aid in developing more scientific dietary guidelines and agricultural policies to enhance national health levels.
Research on Financialization, Digital Transformation, and Financing Constraints of Construction Enterprises
Authors: Qi Hu
Published: December 2024

In the past, scholars mainly studied the relationship between corporate financialization and digital transformation of the entire economy, without specifically analyzing individual industries. At present, Chinese construction enterprises have encountered development bottlenecks and further research is needed. Against the backdrop of the significant trend of financialization in Chinese enterprises and the new strategic deployment proposed by the Chinese government in 2023, the task of digital transformation for construction enterprises is urgent. This article chooses to use panel data of Chinese construction industry listed companies from 2012 to 2022 for empirical testing to investigate the relationship between financialization and digital transformation of construction enterprises. Research has found that: (1) Corporate financialization can make positive effect on digital transformation activities of construction enterprises; (2) Financialization of construction enterprises can alleviate financing constraints; (3) Financialization of construction enterprises weakens the inhibitory effect of financing constraints on enterprise digitization.
Testing the Viability of Options Volatility Arbitrage Strategy in Real Market
Authors: Gao Jianfeng
Published: December 2024

As a matter of fact, the option is primarily used as a hedging tool for stock investment in recent years. Contemporarily, the underlying options now include almost all financial derivatives such as stock price, index, and exchange rate. With this in mind, the article will mainly discuss about the test for the volatility and profitability of option volatility arbitrage strategy in the options market. To be specific, a strategy is constructed to validate the feasibility for such strategy. According to the analysis, the limitations and strengths of the strategy will be analyzed through several indicators such as the Sharpe ratio, maximum return, and Calmar ratio. At the same time, one improvement will be made for the limitations of the strategy. In the meantime, the future development tools are proposed. Overall, these results shed light on guiding further exploration of option strategy designs and offer new insights for quantitative strategy designs.
Comparison and Analysis of Marketing Management Between Five-Star Hotels: Xiangxi Atour Hotel in Qinhuangdao, Hebei Province, and Weidu International Hotel in Datong, Shanxi Province, China
Authors: Tong Youhe
Published: December 2024

This paper aims to research and find out how effective the marketing strategies used by hotels in two tourist destinations, including Xiangxi Atour Hotel in Qinhuangdao and Weidu International Hotel in Datong. As a result, the study will compare these strategies in terms of their appeal to tourists and customer retention. In order to do so, the study conducts a detailed analysis to find both different and similar items in the marketing approaches of the hotels. Through a merit review of relevant materials, delving into the mechanisms of marketing, and studying customer demographics as well as seasonal adaptations, the study reveals the pros and cons of the strategies utilized by both hotels. This study shows that there are obvious differences in the efficacy of traditional marketing and digital methods employed in different local markets and the most compelling case of customers. This section provides an evaluation of the findings, along with suggested strategies for corporate leaders to follow the firsthand urban context in order to maximize the miscellaneous marketing choices.
Evaluation of Strategic Dynamics of Inflation Control: A Game-Theoretic Exploration
Authors: Zhong Zicheng
Published: December 2024

The issue of why Japan had always experienced deflation since approximately 20 years ago has made the whole society depressed and, actually or potentially, it is worthwhile employing game theory as a critical analytical tool to examine the strategic interactions among key economic agents. Despite numerous interventions, such as inappropriate fiscal stimulus and aggressive monetary easing, Japan's economy is continuously under deflationary pressures. This persistent economic dilemma is probably driven by structural impediments, including demographic ageing and the lack of effective coordination between fiscal and monetary policies which are of more significance than conventional policies. Therefore, the analysis is surrounded by several theoretical models, such as the Kydland-Prescott Model of Time Inconsistency, the Barro-Gordon Model of Inflationary Bias, and the Stackelberg Leadership Model, which collectively elucidates the challenges of maintaining inflation stability and the inherent limitations of existing policies. The findings reveal that strategic coordination between the government, central bank, businesses, and households has led to suboptimal policy outcomes which may reinforce a deflationary spiral. By achieving a bright economic prospect, Japan could enhance its financial resilience break the virtuous circle from the past and aim at sustainable growth and social stability in the future.
The 4P Analysis of the McDonalds Marketing in the United States
Authors: Jiang Rikang
Published: December 2024

Marketing plays a crucial role in determining the success of a company. Regeardless of how good the product is, its profitability is what ultimately matters. McDonalds, originally established as a normal restaurant in the United States during the 1940s, has now evolved into the leading global food service retailer with over 38,000 locations across more than 100 countries. As the world's largest fast food supplier, McDonalds ensures consistent quality of their drumstick burgers both in Beijing and the United States while also adapting their marketing strategies and products to cater to local tastes in different places. For instance, considering India's religious beliefs that prohibit consumption of beef or pork, McDonald's does not offer any such products in India. This essay aims to analyze McDonalds marketing strategy by using the 4P theory. It is evident that McDonald's has implemented a lot of marketing techniques to attract customers; however, there are still areas where improvements can be made.
Digital Economy and the Urban-rural Income Gap -- An Empirical Study Based on the Provincial Panel Data in China
Authors: Guo Yiling
Published: December 2024

In the last several years, the digital landscape has undergone rapid and pervasive evolution, infiltrating every aspect of society comprehensively. Drawing upon provincial panel data spanning 2013 to 2022, this study meticulously crafts a multidimensional digital economy development index, encompassing three crucial facets. It explores the complex relationship between the expansion of the digital economy and the income gap between urban and rural areas using a two-way fixed effects model. Significant findings emphasize: First, China's wealth gap between urban and rural areas follows a pronounced U-shaped evolutionary trajectory; second, we are presently living in the early stages of this "U"-shaped dynamic, and there is a noticeable negative association between the gap's expanding and improvements in the digital economy, suggesting that digital economy proliferation serves as a moderating force, curbing the expansion of the income divide. Thirdly, mechanistic research demonstrates the significance of transportation infrastructure and industry restructuring in lowering the income gap between urban and rural locations. Moreover, a comprehensive examination reveals that the level of urbanization and the development of rural digital inclusive finance are potent moderators that significantly impact the convergence of the digital economy's progress towards narrowing the income disparity between urban and rural regions. Lastly, the heterogeneity study shows that the digital economy has a different influence on different regions; the central region is most affected, and the western and eastern regions follow suit.
The Impact of Digital Financial Inclusion on Employment Quality
Authors: He Yuting
Published: December 2024

Achieving high-quality employment is essential to enhance of life quality, lead to growth of economy and achieve common prosperity. Meanwhile, keeping on developing financial inclusion continuously is essential to establish the well-off society in all aspects. Based on this, the paper conducts the research on 30 different Chinas provinces (excluding the Tibet Autonomous Region) and adopts the panel data, which is distributed between 2011 and 2022. This paper leverages the bivariate fixed-effect model and moderating effect model to examine the mechanism of digital financial inclusion on employment quality, and meanwhile researches the moderating effect of industrial structure upgrading and innovation ability in each area during the process of digital financial inclusion affecting employment quality. The findings suggest the promotional impact on employment quality has regional population heterogeneity and regional income heterogeneity. The promotion effect on employment quality is more pronounced in less populated regions, large population and high income. Also, the industrial structure enhancement and regional innovative ability conduct a positive moderating effect on the promotion effect, which implies that with a more advanced industrial structure or a stronger regional innovation ability, the promotion effect will be more obvious. Therefore, we should fully take advantage of digital financial inclusion in improving the job quality, keep improving the supporting mechanisms and enhancing the traditional financial institutions digitization, which can ultimately help to realize the high-quality employment.
The Impact of Sustainable Development Policies on the Welfare of the Poor in Developing Countries: A Case Study of Vietnam
Authors: Song Tao
Published: December 2024

Sustainable development is a critical issue, especially in developing countries like Vietnam, where balancing economic growth, environmental sustainability, and social welfare presents complex challenges. This research examines the impact of Vietnams sustainable development policies on the welfare of the poor, with a particular focus on rural and marginalized communities. Despite significant economic growth, the benefits of sustainable development have been unevenly distributed, resulting in increased inequality, environmental degradation, and social tensions. The analysis identified three key problems: economic inequality between urban and rural areas, environmental degradation in rural regions, and insufficient community engagement in policymaking. To address these issues, several strategies are proposed, including designing more inclusive policies, strengthening environmental protection in rural areas, fostering greater social participation in decision-making processes, and providing financial and technical support to help rural communities transition to sustainable practices. The findings of this research have both social and commercial value, offering insights for policymakers and businesses to promote more equitable and sustainable development in Vietnam. This study contributes to a deeper understanding of the complex relationship between economic growth, environmental sustainability, and social equity in developing countries.
Research on the Financing Problems and Solutions of Small and Medium-sized Enterprises
Authors: Yang Ziyan
Published: December 2024

With the deepening of globalization, market boundaries are becoming increasingly blurred, and the importance of small and medium-sized enterprises (SMEs) as an indispensable part of the market is becoming more prominent. SMEs play an irreplaceable role in promoting economic growth, increasing employment, fostering market integration, and driving technological innovation. However, in the complex and ever-changing market economy, SMEs face significant challenges in securing financing. This article examines the root causes of these financing difficulties and proposes a series of practical and feasible solutions through theoretical analysis. It can be concluded that the current challenges faced by SMEs in financing include tight bank loan quotas, limited collateral, internal management issues, and asymmetric market information. At the same time, this article also proposes solutions such as optimizing government policies and improving the capabilities of SMEs.
Analysis of the Principle and Implementations for Predicting Stock Prices Using AI Models
Authors: Lyu Jinxuan
Published: December 2024

Contemporarily, AI techniques have been widely implemented into quantitative finance fields. forecasting is intrinsically difficult due to the volatility of financial data. This study investigates the application of advanced artificial intelligence models to predict stock prices, focusing on Long Short-Term Memory networks, Transformer architectures, and Extreme Gradient Boosting. Stock market This study uses historical data from significant benchmarks such as the SandP 500 index, Facebook, and JPMorgan to analyze and compare the performance of various models. LSTM networks are assessed for their ability to capture temporal dependencies and handle sequential data. The Transformer model is evaluated for its ability to manage nonsequential data and improve forecasting accuracy. XGBoost is examined for its robust performance and efficiency in boosting predictive accuracy through iterative improvements. The comparative analysis of these models highlights their respective strengths and limitations, providing valuable insights for investors and financial analysts. These results underscore the importance of model selection in financial forecasting and offers recommendations for future research to advance AI-driven market prediction methodologies.
Analysis of Market Trends and Strategies in the Health Industry: A Perspective Based on the PESTLE Model
Authors: Chen Jiawei
Published: December 2024

The health industry has received unprecedented attention globally as a key area for improving people's quality of life. With the ageing population, rising prevalence of chronic diseases, and increasing consumer health awareness, the health industry is undergoing rapid development and transformation. This study uses the PESTLE model (Political, Economic, Social, Technological, Legal, and Environmental) to analyse market trends in the health industry. It is found that government-supportive policies, macroeconomic growth, growth in social demand, technological innovation, improvement in laws and regulations, and requirements for environmental protection have all contributed to the development of the health industry to varying degrees. However, these factors have also brought about new challenges, such as overall cost control, service quality improvement, technological safety and sustainable development. By considering these factors in a comprehensive analysis, this study provides useful insights into the future development of the health industry and suggestions for sustainable development.
Research on the Digital Commerce Readiness Assessment of RCEP Member Countries and Regional Coordinated Development Strategies
Authors: Zhong Yinghan
Published: December 2024

Grounded in the current status of digital commerce development in Regional Comprehensive Economic Partnership (RCEP) countries, this paper constructs a digital commerce readiness assessment system, and uses factor analysis and cluster analysis to quantitatively assess the digital commerce readiness of RCEP member countries in 2022. The study reveals the advantages and disadvantages of various countries in the development of digital commerce by analyzing the scores of three main factors: digital skills and network services, market maturity and cross-border competitiveness, and technological innovation and infrastructure. The results show that Singapore, China and Australia have outstanding performance in human capital, innovation capabilities and infrastructure construction, ranking at the top of the RCEP digital commerce readiness ranking; while some Southeast Asian and South Asian countries still have large gaps in market competitiveness and technological innovation. This paper provides an essential reference for promoting digital commerce cooperation among RCEP member countries, and provides theoretical support for the digital development path under the "Belt and Road" initiative.
The Impact of Social Media on Consumer Psychology and Behavior
Authors: Xu Shiqi
Published: December 2024

In the era of social media, the blurring of boundaries between online and offline spaces has transformed interpersonal relationship networks and modes of communication and collaboration. Against this backdrop, consumer psychology and behavior have also changed significantly. The increased engagement and control of social media users have strengthened consumers' social cognition and the effects of social influence. In social interactions, consumers observe and learn from the behaviors of others to develop purchase motivations and rely on the opinions and recommendations of others to make purchasing decisions. The interactive processes facilitated by social media, characterized by rapid information turnover and feedback mechanisms, make consumers more susceptible to the influence of others. This dynamic environment not only accelerates the dissemination of information but also amplifies the effects of social influence. Through interactions such as likes, comments, and shares, consumers can quickly receive feedback from other users, which further influences their attitudes and behavioral tendencies. Social media marketing, with its high-quality product showcases and personalized service systems, enhances consumers' purchase desires and prompts them to re-enter the purchasing process more swiftly. This paper explores the impact of social media on consumer psychology and behavior from two perspectives: first, by analyzing the influence of social media marketing on consumer psychology and behavior, and second, by discussing the changes in consumer psychological motivations under social media. Finally, based on the above analysis, the paper provides recommendations for businesses on how to effectively utilize social media marketing strategies.
Research on the Marketing Model of Luckin Coffees Emerging Market
Authors: Zhang Yihao
Published: December 2024

In recent years, with the rapid expansion of the Chinese consumer market and the continuous improvement of consumption levels, coffee culture has gradually emerged in major cities. As a representative of Chinese local coffee brands, Luckin Coffee has quickly occupied a place in the market with its subversive and innovative new business model of Internet plus Coffee and rapidly expanding store network. Since its establishment in 2017, Luckin Coffee has attracted a large number of consumers and successfully challenged the positioning of traditional coffee brands through flexible and versatile marketing methods and efficient operational management. This article takes Luckin Coffee as an example and adopts the research method of literature collection and analysis. Based on the marketing mix theory, brand positioning theory, and sinking market theory, it explores its new marketing model in the sinking market and analyzes Luckin Coffees strategic behavior in the emerging market. Research has found that Luckin Coffee expands and innovates its product line, and develops localized products through product strategies. Pricing strategy and its flexibility have certain advantages. In terms of channel strategy, flexible direct sales and joint venture strategies have been adopted through channel sinking and optimizing store layout. In terms of promotion strategy, innovative practices such as brand communication strategy, brand image building, and advertising placement measures have helped Luckin Coffee stand out in the fiercely competitive market and provide a solid brand foundation for its sustainable development. As a result, Luckin Coffee is expected to achieve greater success in the lower-tier market. This study provides valuable references for its strategic optimization and for other enterprises that want to carry out lower tier market marketing.
Digital Marketing Strategies for Promoting Radar Product in B2B Market
Authors: Xu Borui
Published: December 2024

In the rapidly evolving landscape of business-to-business (B2B) marketing, the integration of digital strategies has become essential for promoting advanced technologies. This paper focuses on efficient digital strategies for promoting radar products in the B2B market. This study puts forward its current trends and analyzes its challenges, pointing out that while there are extensive segmentation and needs of the radar B2B market, marketing high-tech products like radar technology involves distinct challenges that need specialized digital strategies. For one thing, the technical complexity of radar products requires specialized knowledge to convey its benefits to potential buyers in the B2B market. For another, B2B sales cycles involve multiple decision-makers, often requiring demonstrations, pilot projects, and continuous dedication to establish long-term trust. Based on these, this study identifies several key digital marketing tactics, such as content marketing, Search Engine Optimization (SEO), social media engagement, email marketing, digital advertising and real-time analytics to enhance radar products brand visibility in the B2B market. Empirically, the results provide valuable digital marketing insights for high-tech companies, especially for radar products in the B2B sector.
Social Network Based Recommender System: A Probabilistic Graphical Model Approach
Authors: Liu Kelvin
Published: December 2024

The internet presents a vast labyrinth of information and choices, overwhelming users while service providers strive to predict user preferences accurately. Traditional recommender systems, although utilizing extensive data, often lack the social context necessary for precise recommendations, leading to issues like cold-start and data sparsity. Social network-based recommender systems have been proposed to address these limitations by leveraging the decision-making processes influenced by social connections. Recent advancements in this domain, such as the Diffnet and Diffnet++ models, have shown improved prediction accuracy through deep social influence propagation models. However, their performance diminishes with higher diffusion depths. In this work, we propose enhancements to the Diffnet and Diffnet++ models by incorporating the homophily effect in the heterogeneous graph of the diffusion layer and implementing a weighted embedding method in the prediction layer. Using data from Yelp and Flickr, our improved model integrates higher-order social structures and interest network information, demonstrating superior performance on metrics such as Normalized Discounted Cumulative Gain (NDCG) and Hit Ratio (HR) compared to existing baselines. Our approach effectively integrates social network data and user similarity networks, resulting in more accurate and reliable recommendations for online platforms where social networking is a key feature.
Analyzing Behavioral Changes in the Elderly under the Influence of Social Media Through the Lens of the Technology Acceptance Model
Authors: Cai Yingyan
Published: December 2024

This study explores the behavioral changes of elderly users (aged 60-65) when engaging with social media, using the Technology Acceptance Model (TAM) as the analytical framework. With global aging trends accelerating, understanding how older adults adapt to new technologies is increasingly critical. While most existing research focuses on younger populations, this study aims to address the gap in literature by examining the perceptions and usage patterns of elderly social media users. TAMs key constructsPerceived Usefulness (PU) and Perceived Ease of Use (PEOU)are applied to understand how social media influences elderly users' social interactions, media consumption, and health-related behaviors. The findings reveal that social media enhances older adults sense of connection with family and friends, reduces loneliness, and increases social participation, all of which contribute to higher PU and PEOU. Moreover, the study highlights the digital divide, noting the challenges of technophobia, lower digital literacy, and susceptibility to misinformation among elderly users. Comparative analysis with younger users underscores generational differences in technology adaptability, content preferences, and security awareness. The study concludes with recommendations for enhancing the user experience of elderly social media users by addressing their unique needs and fostering inclusivity in digital platforms.
Deciphering the Success Factors of IKEA in the Global Furniture and Homeware Market
Authors: Zhang Linyue
Published: December 2024

In the ever-evolving landscape of global business, few companies have managed to carve out a niche as distinct and influential as IKEA. This Swedish furniture giant has not only transformed the way we furnish our homes but has also left an indelible mark on the very fabric of modern business strategies. This paper delves into the secrets behind IKEA's resounding success in the global furniture and home goods domain. It explores the company's diverse strategies, including its innovative marketing that shapes a distinct brand image and reaches the target market effectively. The efficient supply chain, with global sourcing, optimized costs, and quality control, ensures seamless operations. The unique design philosophy, influenced by Scandinavian aesthetics and focused on functionality, keeps products appealing. The customer experience, both in-store and online, along with customer relationship management, builds loyalty. Through comprehensive analysis, this study offers a holistic understanding of IKEA's business model and its competitive edge, providing valuable insights for the industry.
Data Analysis Transformation: Analysis of the Impact of ChatGPT on Various Industry Application
Authors: Wang Liujunyang
Published: December 2024

This research investigates Chat Generative Pre-Trained Transformer (ChatGPT)'s potential to significantly transform data analysis across various industries. As an advanced artificial intelligence language model, ChatGPT offers innovative solutions for automating and refining data analysis processes. Its applications are extensive, encompassing fields such as education, commerce, healthcare, and the military. The study provides a thorough assessment of ChatGPT's capabilities, highlighting its strengths in generating actionable insights and enhancing decision-making efficiency. Additionally, it evaluates the obstacles and constraints linked to artificial intelligence, encompassing apprehensions regarding data privacy, security, biases, and the precision of outcomes. By conducting detailed analyses of practical implementations and comparing them with previous research, this study emphasizes the considerable impact of ChatGPT while also underscoring the need for cautious and responsible use. The findings indicate that while ChatGPT holds significant promise for transforming data analytics, additional research and development are essential to enhance its performance and address potential risks. The study calls for ongoing investigation to address these challenges and maximize the benefits of ChatGPT in the evolving landscape of data analysis.
Enhancing Stock Price Prediction: A Comparative Study of KNN, LSTM Models for Apple Inc
Authors: Zhou Hongyu
Published: December 2024

This study delves into the utilization of machine learning techniques for predicting stock prices, a critical area that heavily influences financial planning and investment decisions. The research focuses on constructing and assessing the effectiveness of various predictive models, with an emphasis on K-Nearest Neighbors (KNN), Long Short-Term Memory (LSTM), and Recurrent Neural Networks (RNN). Using Apple Inc.'s stock data as a case study, the findings reveal that the KNN model demonstrates superior predictive accuracy compared to LSTM and RNN models, suggesting that it may be more effective for stock price forecasting under certain conditions. This comparative analysis highlights the importance of selecting the appropriate model for financial forecasting and showcases the potential advantages of traditional machine learning models like KNN in comparison to more complex deep learning approaches. These results highlight the significance of selecting models that suit the underlying data characteristics. Despite the complexity of LSTM and RNN, the simpler KNN model demonstrates superior performance, suggesting that advanced models may not always guarantee better outcomes. This insight provides valuable guidance for investors and analysts in optimizing stock prediction methods and refining investment strategies by considering model simplicity and effectiveness over complexity. The findings emphasize the importance of model selection in financial forecasting, where simpler methods can sometimes yield more accurate results.
A Study of Option Pricing Models with Market Price Adjustments: Empirical Analysis Beyond the Black-Scholes Model
Authors: Li Chenwei
Published: December 2024

In 1973, Fischer Black and Myron Scholes unveiled the Black-Scholes option pricing model, a groundbreaking contribution that profoundly influenced the domain of option pricing theory. The introduction of the Black-Scholes pricing formula has garnered substantial acclaim across both academic and industrial spheres, leading to its widespread dissemination and application. This formula not only underscores its vital significance but also exemplifies its unique position as a cornerstone of financial theory, reshaping how options are valued and traded in markets worldwide. However, in the real financial market, the Black-Scholes option pricing model has a serious deviation from empirical research in option pricing, which reduces its practicality and accuracy. This paper first briefly introduces the basic knowledge of options, covering both option-related concepts and option pricing theories, gives the definition of Black-Scholes option pricing deviation, and explains the volatility smile theory in detail. Starting from the probability of positive returns and the beliefs of traders, the probability of call option returns is obtained from historical trading data, and then decisions are made from these probabilities to overcome the deviations caused by Black-Scholes European option pricing and find an option pricing model that is more consistent with the market price of options. Through comprehensive simulation studies utilizing synthesized data, we conduct rigorous empirical tests to compare this theoretical model with the Black-Scholes option pricing model. The market prices of call options are derived from investor sentiments, allowing us to validate all three types of deviations from the Black-Scholes pricing formula within this numerical framework. The results reveal that the growth rates of stock returns can effectively serve as a substitute for the volatility smile, thereby facilitating their exclusion from risk-neutral analyses. These insights significantly enhance our understanding of option pricing dynamics in real-world scenarios.
The Impact of Tourism on the Fluctuation of Thai Baht Exchange Rate: An Empirical Study Based on Seasonal Factors
Authors: Li Zhuohang
Published: December 2024

Tourism is a vital component of Thailand's economy, significantly contributing to the country's GDP and foreign exchange reserves. Due to the seasonal nature of tourism, the exchange rate of the Thai Baht demonstrates volatility patterns that may be linked to variations in tourist arrivals and revenue. This study examines the influence of tourism on the volatility of the Thai Baht (THB) exchange rate, with a focus on seasonal factors. The research utilizes a time-series analysis through the GARCH model to assess the connection between tourism income and exchange rate volatility. Monthly data on tourist arrivals and THB exchange rates are analyzed, emphasizing the identification of seasonal trends and their impact on currency fluctuations. The study also includes control variables such as inflation and GDP growth to specifically determine the effect of tourism on exchange rate volatility. The results indicate that during peak tourism periods, the Thai Baht experiences increased volatility, largely due to substantial foreign currency inflows. These findings underscore the significance of accounting for seasonal tourism trends in the development of monetary policy and exchange rate strategies.
Study on the Price Formation Mechanism of Art Auctions from the Perspective of Behavioral Economics: The Influence of Anchoring Effect and Endowment Effect
Authors: Xiong Sancai
Published: December 2024

The art market is both unique and subjective. Particularly in art auctions, transaction prices not only reflect the value of the artwork but are also influenced by the psychological factors of the bidders. This paper systematically examines how the anchoring effect and endowment effect, as described in behavioral economics, contribute to high transaction prices in art auctions. The research focuses on traditional Chinese paintings, Impressionist works, and contemporary art, with data sourced from major art trading platforms such as Artron.net, Christies, and Sothebys. The results indicate that the anchoring effect significantly influences bidders offers through prior auction prices or pre-sale estimates, with this effect being more pronounced when the time between auctions is short. The endowment effect reveals that bidders assign greater psychological value to their preferred artworks, making them willing to pay higher prices. Overall, these behavioral biases notably impact the market pricing of artworks, driving auction prices higher. This study integrates behavioral economics, art management, and statistical analysis to offer practical recommendations for auction houses to optimize bidding strategies, for buyers and sellers to make informed decisions, and for market regulators to develop effective policies.
Does Low-Carbon Development Affect Employment in Manufacturing? Evidence from Chinas Low-Carbon City Pilots
Authors: Yan Zihan
Published: December 2024

To fulfill the carbon peak and carbon neutrality targets pledged in the 2016 Paris Agreement, China implemented the Low-Carbon City Pilot Policy (LCCP) in 2010, expanding its scope in 2012 and 2017. However, its effect on employment in manufacturing remains unexplored. This paper employs a difference-in-differences (DID) model and a micro-panel dataset of Chinese listed manufacturing firms from 2007 to 2021 to identify the casual effect of the LCCP on manufacturing employment. The findings reveal that (1) the LCCP leads to an average 3.9% increase in manufacturing employment; (2) this impact operates through output and factor substitution effects. These conclusions are validated through a series of endogeneity and robustness tests. The study provides new evidence supporting a win-win outcome between environmental protection and employment growth under low-carbon development initiatives.
The Impact Discussion of Celebrity Endorsements on Customer Choice from the Perspective of Behavioral Economics --- Taking Pandora's Sales on the Online Platform as an Example
Authors: Yang Jinyi
Published: December 2024

According to Principles of Behavioral Economics, celebrity endorsements is applied in the marketing of many brands. However, if celebrity endorsers have some scandals, the brands reputation will be damaged, and sales volumes will decrease for a period of time. If a brand chooses a celebrity who already has mixed reviews as an endorser can have a greater negative impact than choosing a celebrity who initially has a good reputation but later has a bad reputation. This article uses online surveys to verify the above viewpoint through Pandora's sales on online platforms. Finally, this study concludes that if a brand chooses a celebrity endorser with a good reputation, and the endorser is exposed to scandals during the endorsement period, more potential customers will believe that the brand has less responsibility when choosing the endorser and the subsequent negative attitude towards the brand is lower than when the brand chooses a celebrity with mixed reviews, and the emotions are not strong. The proportion of customers who will continually purchasing products from this brand will also be higher. On the contrary, if the celebrity endorser has mixed reviews at the beginning, potential customers will feel that the brand has a greater responsibility when choosing an endorser, and the rate of not supporting the brand will increase and their emotions will be strong. Similarly, the willingness to purchase will also decrease.
Research on Role Model Education in Government Education Assistance for Adolescents in Distress
Authors: Lin Can
Published: December 2024

The Chinese Government has done a great deal of work in providing educational assistance to young people in difficulty aged 13 to 18, including policy provision, financial support, organizational management, supervision and control, etc. At present, assistance for children in difficulty has shifted from life-support to developmental assistance. At this critical stage, in order to further explore how to better carry out role model education in the government's educational assistance work, this paper deeply analyses the characteristics and current situation of children in difficult circumstances, as well as the current implementation of role model education and assistance and its shortcomings, and puts forward the proposals of setting up diversified role models from youth groups in difficult circumstances, . Through literature analysis and other research methods and based on social learning theory and social identity theory, it puts forward five research recommendations, namely, to set up diversified role models from groups of young people in difficulty, to establish a library of role models for young people in difficulty and a home for community platforms, to strengthen interactive and experiential education, to strengthen personalized guidance, and to enhance social awareness and participation, with a view to providing reference to the work of providing educational assistance for young people in difficulty.
Stochastic Volatility Models and Their Applications to Financial Markets
Authors: Chang Hengzheng
Published: December 2024

Volatility plays an essential role in financial markets. It influences asset valuation, risk control, and investment planning. Conventional models, such as the Black-Scholes model, assume a constant volatility, but this does not hold in actual markets where volatility fluctuates over time. This paper studies stochastic volatility models, which allow volatility to change. These models can better reflect real market conditions. By reviewing the literature, this paper discusses common stochastic volatility models, including the GARCH, Heston, and SABR models. The study shows that these models have clear advantages over traditional models when pricing derivatives and managing risk. This research provides new insights into volatility modeling and points to future directions for both theory and practice. Moreover, this paper explores the limitations of stochastic volatility models, acknowledging the trade-offs between complexity and practicality. While models like GARCH and Heston are highly effective in capturing time-varying volatility and improving the accuracy of derivative pricing, they are often computationally intensive and require advanced estimation techniques.
The Foreign Exchange Rate Losses and Profits Problem of Multinational Corporations During the Post-Pandemic Period
Authors: Lin Weibo
Published: December 2024

In the global economic environment, multinational corporations are inevitably exposed to the foreign exchange rate losses and profits. Especially in this post-pandemic period, how the corporations handle with these issues caused by the foreign exchange rate fluctuation is vital to their development. Through the analysis of the current studies and the empirical cases, the importance of these problems and the main factors leading to it are concluded. Some of the risk management methods are put forward and some other traditional ways to deal with the risks have been improved so to fit in the special post-pandemic period. Research shows that companys have to adopt some flexible strategies to deal with the risks, for instance the flexible pricing strategy, enhancing the internal management, employing some unusual hedging strategy and the application of the digitalization and artificial intelligence etc. The proposals and the prospections are raised as well and the advices are mentioned in face with the volatility of the exchange rate fluctuations.