bluuebunny/crossref_metadata_2025 huggingface dataset:
Green Technology Innovation Enabling Economic Green Transformation - Impact Through Green Financial Mechanisms
Authors: Sun Meiting
Published: December 2024

Given the urgent situation of global climate change, green technological innovation has become a key driver for the achievement of sustainable development goals. Green finance, as an innovative financial solution, provides financial support for green technological innovation through the in-depth integration of policy orientation and market mechanisms. This paper systematically evaluates the effectiveness of green finance in promoting green technological innovation and accelerating the transformation of the green economy and analyzes in depth the implementation effect of green finance policy, its interaction mechanism with green technological innovation, as well as the stability of the green financial market and risk prevention and control strategies. At the same time, there are deficiencies in policy evaluation, interaction mechanism exploration, and market stability maintenance in the field of green finance, and in-depth research and practical exploration should be strengthened, which is of vital significance for promoting the establishment of a sound global green economic system.
Research on the Core Role and Path of Innovative Financial Mode in New Quality Productive Forces Development
Authors: Zhang Longze
Published: December 2024

New quality productive forces (NQPF) focus on progress and innovation. The position of innovative financial mode is crucial in the development of NQPF. This paper focuses on the relationship between NQPF and innovative financial modes led by science and technology (SAT) finance and digital finance (DF). It discusses why and how innovative financial modes can play a strong part in developing NQPF. The comprehensive analysis results of this paper show that SAT finance invests financial resources into enterprises, and takes enterprises as the core carrier to achieve the rapid development of NQPF, which is embodied in the capital chain, talented people chain, and other chains. DF has strong universality, intelligence, and low costs, which can profoundly reshape industrial ecology and optimize resource allocation. Meanwhile, DF focuses on research and development, achievement transformation, and market promotion, and creates a whole process service mechanism of DF to help the development of NQPF. Finally, this paper discusses two problems of innovative financial mode, which are policy problems and talented people problems. To solve the policy problem, countries should establish a unified finance policy and reduce unnecessary sanctions. To solve the talented people problem, local governments should introduce preferential policies and actively explore and cultivate talents.
A Study on the Dynamic Conditional Correlation Between International Oil, Gold, and Chinas Stock Markets
Authors: Huang Zixuan , Lang Rongcheng , Wang Ruiyao
Published: December 2024

In the context of globalization, Chinas stock market (CSM) is increasingly impacted by the risks in international financial markets, especially the two important commodities, oil and gold. This article started from the perspective of stock market styles and used the model to explore the dynamic conditional correlation between international oil, gold markets, and CSM. The study found a positive mean dynamic conditional correlation (DCC) between the international oil market and CSM, which is heterogeneous for different market styles. On average, Oil price shocks are more correlated with large-cap, value, and dividend stocks. After further dividing the sample interval, the study found that during the occurrence of external shocks, the DCC between assets generally increases. As for gold, the research also found a positive mean DCC between the international gold market and CSM, which expands when external shocks occur as well, failing to reflect its hedging properties. The research not only enriches the understanding of the linkage mechanism among financial markets but also provides an empirical basis for investors to formulate more precise risk management and investment strategies in the changing international market environment.
Research on the Well-being Effects of Digital Financial Inclusion in China from a Common Wealth Perspective
Authors: Wang Ziyao
Published: December 2024

The digital economy is an important force in promoting the achievement of common prosperity. It is conducive to accelerating the efficient flow of factors of production, promoting the sharing of high-quality resources, and advancing the equalisation of basic public services. This paper systematically reviews the well-being effects of digital inclusive finance (DIF) from the perspective of the commonwealth, classifies and summarises existing literature in the academic community, and focuses on the role and challenges it in reducing poverty and regional income disparities at the macro level, reducing household financial risks and enhancing household financial resilience at the micro level, as well as improving the sense of well-being of individuals' lives. The main findings suggest that DIF significantly improves the financial stability and economic resilience of low-income groups and promotes coordinated regional economic development and social well-being and stability. However, there are differences in the effects across regions and groups, and further research and practice are needed to address these differences. By integrating and sorting out various research results in the academic community, this study provides a concrete and theoretical explanation of the beneficial role that DIF plays in facilitating China's successful implementation of shared wealth, filling the gaps in the review-type literature in this field.
Exploring the Correlation Between Crude Oil Prices and ETF Performance: A Predictive Analysis Using Crude Oil Index
Authors: Lin Yuchen
Published: December 2024

This paper investigates the feasibility of using crude oil prices to forecast the future performance of major Exchange-Traded Funds (ETFs) using data spanning from January 1, 2000, to June 1, 2024, which can have a significant impact on investment choices and portfolio management. The chosen ETFs include SPDR S&P 500 ETF (SPY), iShares MSCI Emerging Markets ETF (EEM), iShares MSCI Australia ETF (EWA), iShares MSCI Canada ETF (EWC), iShares China Large-Cap ETF (FXI), and Vanguard FTSE Europe ETF (VGK). The study comprises two main analyses: firstly, investigating the relationship between the Dow Jones Industrial Average Crude Oil Index and various ETFs; secondly, utilizing a predictive trading strategy with crude oil futures to predict ETF returns. The results indicate a notable inverse correlation between crude oil prices and ETF returns, suggesting that as crude oil prices increase, ETF returns tend to decrease. Moreover, the predictive strategy showcases significant annualized returns and favorable risk-adjusted performance, indicating that trading based on crude oil futures can lead to consistent profits. These findings offer valuable insights for both investors and policymakers, emphasizing the potential of crude oil prices as a predictive factor for ETF performance. By integrating crude oil price movements into their strategies, investors can improve their portfolio management and make more informed investment choices.
Fertility Rate under the Dual Pressure of Raising Children and the Elderly
Authors: Lin Meifu
Published: December 2024

At present, China is in a new normal of population development characterized by low birth rates and a highly aging population, and the trend is increasingly deepening. In this context, this article first classifies the reasons for the low fertility rate through theory and then analyzes the pressure of raising children and taking care of the elderly from the perspective of people during the fertility window period. Through data and analysis, it has been found that the economic pressure on contemporary young people is particularly concentrated on the education expenditure for children and the dependency ratio for the elderly. Finally, this article proposes some practical solutions, attempting to develop the role of the elderly labor force in intergenerational education through economic policies and social support. These plans can simultaneously utilize the two demographic characteristics of China's low fertility rate and high aging population, and accelerate the improvement of the fertility support system by helping young people obtain intergenerational care.
The Impact of Population Aging on Economic Growth
Authors: Meng Qingcheng , Yu Wen
Published: December 2024

Population ageing is a global phenomenon that is now affecting many countries. For China, the main cause of population ageing was the early baby boom, which, despite the Government's family planning policy, had had little effect. At the same time, advances in health care leading to longer life expectancy and declining birth rates have also exacerbated population ageing. Population aging also has economic implications, such as labor shortages, shifting consumption patterns, and increased government social welfare spending. This study examines the overall impact of population aging on economic growth with a focus on China. The introductory section explores the definition, status and development trends of China population aging and the world. The study then focuses on population aging in China, including the proportion of the elderly population, the rapid growth of population aging in China, and particular aspects of China's population aging pattern. The study highlights the significant economic impacts of aging, such as a declining labor force, rising social security costs, and changes in consumption behavior. By assessing these issues, the study attempts to make recommendations that are consistent with the current aging situation in China.
Research on the Causes, Risks, and Countermeasures of Local Debt Problems
Authors: Zhang Can
Published: December 2024

This study aims to explore the causes, risks, and corresponding risk response strategies of local government debt problems. In the case analysis, the scale of local debt in Ningbo is taken as the specific research object. Although local governments use debt financing for infrastructure construction to promote economic growth in the short term, it also brings potential debt risks. By analyzing the scale of local debt and governance policies in Ningbo, this paper finds that Ningbo is relatively reasonable in debt management and its debt risks are generally controllable. Ningbo has successfully promoted municipal construction and economic development by establishing financing platforms and issuing government bonds. Meanwhile, the Ningbo Municipal Government has strengthened debt information disclosure and external rating management and improved the transparency of debt management. The research results provide a reference for other local governments, emphasizing the importance of rationally planning debt structure and controlling debt risks to achieve sustainable development of the regional economy.
The Impact of Social Media on Young Chinese Consumers' Purchasing Decisions on Pet Products
Authors: Wang Shiyi
Published: December 2024

China's pet economy, as the latest business blue ocean, has demonstrated great consumer potential in the past, bucking the economy. Currently, social media platforms play a pivotal role in influencing young Chinese consumers' pet product purchase decisions. This study examines the impact of social media marketing on the consumer decision-making behaviours of young Chinese pet owners, emphasizing the roles of influencers, user feedback, and science-based content. The study conducted a quantitative survey by distributing an online questionnaire in social media pet-related communities and offline pet business venues (e.g., pet hospitals), and collected 140 valid responses. The study revealed that social media marketing has a profound impact on consumer decision-making, with the majority of respondents influenced by product promotions, reviews, and influencer endorsements. However, challenges such as impulse buying and over-reliance on online promotions were also identified from respondents' answers, suggesting that brands need to strike a balance between digital strategy and offline engagement. The findings emphasize the importance of marketing content authenticity, user feedback, and message content quality in building trust and increasing customer loyalty in the digital age.
Analysis of New Balance's Brand Positioning and Competitive Advantages
Authors: Fang Youyang
Published: December 2024

New Balance, founded in 1906, has grown into a global leader in the sportswear market by emphasizing comfort, performance, and domestic manufacturing. This paper evaluates New Balances brand positioning strategies and how they contribute to its competitive advantage. The analysis highlights the brand's ability to differentiate itself through localized production, commitment to sustainability, and avoidance of celebrity endorsements. By focusing on quality and authenticity, New Balance has built a loyal customer base while appealing to environmentally conscious consumers. Despite these strengths, the brand faces challenges in adapting its strategy to different global markets, particularly in regions where celebrity endorsements and trend-driven products dominate. New Balances growing focus on digital marketing, sustainability, and emotional connections with consumers presents significant opportunities for further market expansion. The research demonstrates how mid-sized brands like New Balance can compete successfully in saturated markets by maintaining strong differentiation and consumer loyalty. These insights are valuable for brands seeking to strengthen their market presence through effective positioning strategies.
Emotion Regulation and Parasocial Relationships in Female-Oriented Games: A Quantitative Analysis of the Chinese Female Gaming Market
Authors: Li Xueting
Published: December 2024

In recent years, female-oriented games have gained widespread popularity in mainland China, resulting in an expanding player demographic. Current research on these games primarily focuses on their social impacts, with some studies investigating social anxiety, parasocial interactions, and purchase intentions. However, there is a lack of research examining the effects of emotion regulation strategies and emotional needs in female-oriented games. This study utilized an online survey to investigate emotion regulation strategies, emotional need fulfillment, parasocial relationships with game characters, and both in-game and out-of-game purchasing behaviour among 212 adult female players. The results indicate a mutually reinforcing effect between parasocial relationship intensity and the level of emotional fulfillment. Romantic parasocial relationship intensity is a positive predictor for out-of-game purchases while negatively impacting in-game purchases. Additionally, the fulfillment of emotional closeness positively predicts out-of-game purchases. Cognitive reappraisal, as an emotion regulation strategy, moderates the relationship between parasocial relationships and out-of-game purchases. Furthermore, the fulfillment of emotional closeness mediates the relationship between romantic parasocial relationships and in-game purchasing behaviour.
A Study on Chinese High School Girls' Consumer Behavior Toward the Korean Cosmetic Brand 3CE
Authors: Chen Kehan
Published: December 2024

This study employs a mixed-methods approach to investigate the consumption behavior of Chinese high school girls toward the Korean cosmetic brand 3CE. A structured questionnaire with 20 questions collected quantitative data on brand cognition, purchasing frequency, expenditure, and product preferences from a substantial sample of participants. The findings reveal that 75% of respondents exhibit strong brand awareness, with 65% purchasing 3CE products monthly, predominantly through online channels (82%). Qualitative in-depth interviews provided valuable insights into the emotional connections and motivations driving these behaviors, revealing that factors such as social media influence and peer recommendations significantly impact purchasing decisions. The analysis underscores the importance of effective marketing strategies tailored to this demographic and highlights potential risks associated with high consumer expectations, which can lead to dissatisfaction. Additionally, it emphasizes the need for 3CE to balance online and offline retail strategies, ensuring consistent product quality while promoting responsible consumption. These insights are vital for enhancing brand loyalty and maintaining a competitive advantage in the rapidly evolving cosmetics market.
An Analysis of the Japanese Labor Market - A Case Study of University Students Actively Selecting Companies
Authors: Zhang Xinyu
Published: December 2024

Nowadays, Japan faces a severe labor shortage due to an unstoppable aging trend in the population. In this paper, Japanese University Graduate's active choice of their employers has emerged as the most striking phenomenon in recent years. This situation represents changes in social and economic structures and carries important implications for the Japanese labor market and economy. The purpose of this article is, therefore, to discuss the behavior of graduates who are more inclined to pursue personal development and work-life balance in their employment choices and the implication of that on industry structure and corporate recruitment strategies. It emerges from the study that although the phenomenon enhances the autonomy of graduates in the labor market, it also brings about associated problems like labor shortages in traditional industries. Concretely, the article therefore suggests some policy ideas on how pro-natalist policy, relaxed immigration policy, and reduced information asymmetry could optimize the allocation of labor resources and hence ensure Japan's sustainable economic development.
Analysis of Problems and Countermeasures of the Chinese Game Industry
Authors: Cheng Guanjie
Published: December 2024

China now boasts one of the biggest gaming marketplaces in the world because to the tremendous development of the gaming industry in recent years. But along with this increase, several problems have surfaced that are impeding the industry's normal progress. This essay provides a detailed analysis of the four main concerns plaguing the Chinese gaming industry: overzealous regulatory interference, homogenized content, a dearth of social responsibility, and difficulties with dishonest gamers and the ELO matching system. The article suggests many solutions to tackle these issues, such as refining regulatory contexts, encouraging creativity in-game material, bolstering social responsibility, and preventing cheating behavior while improving the ELO system. This study aims to provide feasible development paths for China's gaming industry, promoting sustainable growth and improving international competitiveness by maintaining fair gameplay, encouraging the creation of original content, reinforcing corporate social responsibility, and striking a balance between policy and market needs. This study provides a theoretical framework and useful recommendations for creating a safe and orderly gaming market environment, making it an invaluable resource for governments, trade groups, and gaming corporations.
Exploring the Construction Path of "Zero-Waste City" in China under the Perspective of Circular Economy
Authors: Chen Xinyu
Published: December 2024

The total amount of solid waste generated globally is on the rise, and China is vigorously promoting the construction of "Zero-Waste City" to cope with the increasingly serious environmental problems of solid waste. The construction of "Zero-Waste City" is a vital initiative to enhance ecological civilization and build a beautiful China, and the concept of circular economy provides support for "Zero-Waste City". This study explores the development and implementation of China's "Zero-Waste City" initiative, a crucial effort for enhancing ecological sustainability and addressing solid waste challenges. It examines the concept's origins, current research, pilot projects, and identifies challenges faced by "Zero-Waste City" construction, particularly in policy, systems, technology, and industry. The study offers recommendations for improving policies, technological approaches, and industrial practices, integrating the principles of the circular economy to support the successful realization of China's "Zero-Waste City" vision. The study also highlights the importance of public awareness and participation, emphasizing the need for collaborative efforts between government, industry, and citizens to ensure the long-term sustainability of the "Zero-Waste City" initiative.
Research on Luxury Marketing Strategies in the Digital Age: A Case Study of Herms' Social Media Marketing
Authors: Deng Lunan
Published: December 2024

This paper adopts the method of case study to analyze the social media marketing strategy of Herms in depth, and analyzes and discusses the development trend of luxury marketing in the digital era. The following conclusions can be drawn: firstly, the success of Herms lies in the subtle layout of its social media marketing strategy. The brand has succeeded in establishing a deep connection with consumers by precisely communicating its values. Secondly, Herms' social media marketing strategy is reflected in the in-depth dissemination of brand story and culture, cross-border cooperation and creative stimulation of artists, the enhancement of interactive experience and sense of participation, the precise selection of social media platforms and content planning, as well as the integration of online and offline and omnichannel marketing, which all together constitute the powerful marketing system of Herms on social media. Luxury marketing in the digital era is undergoing profound changes, with the trend of the rapid growth of online sales, diversification of digital marketing tools, and omnichannel integration becoming more and more obvious, luxury brands must continue to innovate in order to adapt to the new demands and challenges of the market.
Consumer Attitudes and Brand Development in WeChat Group Buying: An Analysis Using the Elaboration Likelihood Model (ELM)
Authors: Feng Nuanru
Published: December 2024

This study investigates the role of consumer attitudes in shaping brand development within WeChat group buying, a unique social commerce model in China. By applying the Elaboration Likelihood Model (ELM), the research explores how factors like perceived value, social influence, trust, convenience, and entertainment influence consumer attitudes through both peripheral and central processing routes. Using a multi-dimensional survey, the study finds that initial consumer engagement often begins with peripheral cues, such as social influence and price advantages, which later transition to central-route engagement centered on product quality and service satisfaction. This transition fosters brand loyalty and encourages repeat purchasing behavior, highlighting the critical role of social influencers (group leaders) in facilitating these shifts. However, the studys focus on Chinese consumers presents a limitation in generalizability, with future research suggested to include longitudinal data and cross-cultural comparisons. These findings offer valuable insights for businesses looking to strengthen brand loyalty within social commerce platforms like WeChat.
Exploring the Impact of Work-Life Balance Initiatives on Employee Satisfaction and Loyalty: A Case Study Approach in Human Resource Management
Authors: Wang Jiahong
Published: December 2024

This research centers on work-life balance initiatives as its core, deeply investigating their influence on employee satisfaction and loyalty within human resources. In the current corporate environment, work-life balance initiatives such as hybrid work and flexible work systems have become essential tools for enterprises to attract and retain talent. Through the analysis of a vast array of related literature, this study finds that effective work-life balance measures can significantly enhance employee satisfaction and loyalty. The analysis further indicates that companies offering higher-quality work-life balance measures generally have employees with higher satisfaction and loyalty levels. This increase in satisfaction and loyalty not only contributes to improved employee efficiency and productivity, reduces talent attrition rates, but also markedly boosts the technological quality of the enterprise. Moreover, this study also discusses how enterprises can formulate more targeted work-life balance policies. These suggestions are of great practical importance for businesses to optimize their human resource management systems and enhance employee satisfaction and loyalty. By adjusting and optimizing work-life balance policies, enterprises can better stimulate the potential of their employees and promote sustainable development.
Comparison and Countermeasures on the Impact of Income Inequality on Economic Development in China and the United States
Authors: Song Yujie
Published: December 2024

This paper analyzes that the effect of income inequality on economic growth in China and the US, summarizing the economic development of the two countries. As the economy grows, income inequality increases. When income inequality increases, it affects several aspects in a variety of ways, including education, the development across regions, the differentiation of consumption power, and social stability. Based on these potential influences, China and the US have similarities and differences. The similarity is that income inequality has a negative impact on consumption and education. The difference is in the political system, which means that there are many factors that lead to differences in the implementation of policies in the true life. Therefore, their respective solutions are also different. This paper focuses on the poverty alleviation policy from China, which has solved the most basic problem of poverty and narrow the gap between the high-income people and the low-income earners. From the perspective of the US, with an experienced and mature tax system, US is able to implement progressive taxation to collect more taxes on high-income people and reduce the pressure on low-income people.
Analysis of the Impact of US Government Behavior on the Economy During the COVID-19 Epidemic
Authors: Yu Zhenkun
Published: December 2024

Nowadays, the influence that caused by the government in the aspect of national economy becomes bigger, especially in the special time period such as epidemic. In this study, I analyzed the several aspects of how does the American government affect the national economy by the method of policy in the COVID-19 period. Since the American government prompted the development of American industry system in 18th century, the government power and effect on the development direction of economy became even larger. In 21st century, American government still controls the economy but much weaker because of the Small Government strategy, but in the period of epidemic, the Biden governments Bidenomic chose to back to the Big government strategy. Such as controlling the export and import, providing more policy that can restrict the action of business, producing the recuse plan act to help extreme poor people in epidemic. This essay will also illustrate the specific influence of government of the economy in epidemic time, for example, the GDP growth, the investment and consuming, the export and import, and some bad result like inflation.
Exchange Rates and Economic Stability: The Federal Reserve's Monetary Strategy
Authors: Wang Keqi
Published: December 2024

This study looks at how the American financial and economic institutions have changed in relation to the broader global economic environment. It centers on a thorough assessment of the Federal Reserve's monetary policy trajectory throughout the previous ten to twenty years, with a focus on the introduction of quantitative easing policies and the development of communication tactics. The study analyzes how these monetary policies have adapted to various economic challenges and assesses their effectiveness. Furthermore, the research delves into the fluctuations of the U.S. dollar exchange rate and its profound implications on the national economy, including its impact on foreign direct investment and other economic indicators. Insightful information on how the Federal Reserve influences the monetary policy landscape in the US is provided by the paper's synthesis of various findings. This information is crucial for investors, financial institutions, and policymakers as they navigate the complex world of currency dynamics and global economic interdependencies.
The Applicability Analysis of Modern Monetary Theory System to Government
Authors: Luo George Guanghao
Published: December 2024

Modern Monetary Theory (MMT) has become a significant alternative to traditional economic thought, challenging conventional views on fiscal and monetary policy, particularly regarding government debt and deficits. MMT challenges traditional economic frameworks by advocating for the government's sovereign currency-issuing power to achieve full employment and stabilize the economy without necessarily triggering inflation. This paper explores the origins and development of MMT, highlighting key contributions by economists such as L. Randall Wray, Stephanie Kelton, and Warren Mosler. The study examines the application of MMT principles in countries like the United States and Japan, analyzing the outcomes of MMT-like policies during periods of economic crisis. Through a comparative analysis of fiscal and monetary policy, the paper argues that MMT offers a viable framework for achieving economic stability and full employment, though it also raises concerns about inflation and long-term fiscal sustainability. The findings also emphasize the importance of strategic policy integration in a globally interconnected economic landscape. Furthermore, this comprehensive analysis aims to contribute to the broader dialogue on how governments can leverage economic theories like MMT to navigate complex financial environments.
Research on Key Technology of Synthetic Vision in Airborne Integrated Navigation Display Software
Authors: Chang Xinyue , Ma Wangfu
Published: December 2024

Synthetic vision is one of the important technologies of the integrated navigation display software of airborne flight management system. Aiming at the characteristics of airborne system, such as large range of terrain mapping, few hardware resources and high requirements for real-time, we have studied the key technologies of large-scale real-time 3D terrain reconstruction, information superposition and multi-view switching, and designed and realized the comprehensive navigation display software that meets the requirements to simulate a high-precision and large range of flight environments in real time, and ensure the correctness of the functions, so that it can be stably and reliably operated in the airborne practical applications. It is not only an important tool for testing and verifying the functions of the flight management system, but also has the ability to analyze the scene intuitively, which has important practical value.
Analysis of the Use Characteristics and Influencing Factors of Shared Bikes
Authors: Liu Kairui
Published: December 2024

As mobile communications technology and the Internet advance rapidly, stake less shared bicycles have rapidly gained popularity worldwide, becoming an essential approach to alleviating urban traffic congestion and enhancing the efficiency of public transportation links
However, with the widespread use of shared bikes, problems such as irrational scheduling, imbalance between supply and demand, and difficulties in parking management have been exposed. To solve these problems, this study analyzes the usage characteristics and influencing factors based on big data of shared bikes in New York City. This study employs data visualization, ordinary least squares regression (OLS) model and geographically weighted regression (GWR) model to provide an in-depth analysis of the usage patterns of shared bicycles. The results show that the use of shared bicycles has significant spatial and temporal characteristics, which are mainly influenced by factors such as population density, transportation infrastructure and surrounding dining facilities. Commuting demand is evident Especially during weekday morning and evening rush hours, between commercial districts and residential neighborhoods; while in areas with dense food and beverage facilities, the frequency of use increases significantly during lunch and dinner hours.
Fast Constrained Sparse Dynamic Time Warping
Authors: Hwang Youngha
Published: December 2024

Dynamic Time Warping (DTW) has been proposed to solve machine learning problems when comparing time series. Such time series can occasionally be sparse due to the inclusion of zero-values at many epochs. Since the traditional DTW does not utilize the sparsity of time series data, various fast algorithms equivalent to DTW were developed: (1) Sparse Dynamic Warping (SDTW); (2) Constrained Sparse Dynamic Time Warping (CSDTW) with the constraint on the warping path; (3) Fast Sparse Dynamic Time Warping (FSDTW) as a fast approximate algorithm of SDTW. This paper develops and analyzes a fast algorithm that approximates CSDTW, Fast Constrained Sparse Dynamic Time Warping (FCSDTW). FCSDTW significantly decreases the computational complexity compared to constrained DTW (CDTW) and also shows speed improvement against CSDTW with negligible errors. This study should add to a framework in sparsity exploitation for reducing complexity.
Review of Multimodal Sentiment Analysis Techniques
Authors: Tang Zixuan
Published: December 2024

By integrating multimodal data such as text, image, audio and video, the multimodal emotion analysis technology has significantly improved the accuracy and robustness of emotion recognition, and has become a research hotspot in the field of artificial intelligence. This paper summarizes the research background, main research content and application of multimodal emotion analysis, and discusses the future development trend. This paper emphasizes the importance of emotion analysis in understanding user intention, improving user experience and optimizing decision support system, and points out the limitations of traditional unimodal emotion analysis, and leads to the necessity of multimodal emotion analysis. It systematically reviews the key technologies and methods of multimodal emotion analysis, including data fusion strategies, deep learning models, attention mechanisms, and cross-modal association learning, and analyzes the challenges in current research, such as data set imbalance, inter-modal inconsistency, and real-time requirements. This paper provides a comprehensive research idea for subsequent researchers, including constructing high-quality datasets, optimizing algorithms, expanding application scenarios, strengthening interdisciplinary cooperation, and emphasizing ethics and privacy protection, to promote the further development of multimodal sentiment analysis technology in the field of artificial intelligence. With the improvement of computing power and the innovation of algorithms, multimodal emotion analysis technology will be even more important in the field of artificial intelligence in the future.
Heart Disease Prediction Based on Machine Learning
Authors: Li Songze
Published: December 2024

In recent years, the Heart disease has become an important cause of death in the world, early detection and treatment of symptoms is a very effective method, while in recent years machine learning technology is also gotten closer to daily life, the combination of machine learning and heart disease prediction, the use of machine learning algorithms for the basic prediction of the patient's disease; through the use of Naive Bayes(NB), Support Vector Machine(SVM), Decision Tree(DT), Random Forest(RF) and K Nearest Neighbors(KNN) by using these algorithms to provide some suggestions to the patients and provide personalised treatment suggestions, so that the patients can get the results in time and have prevention of heart disease; using accuracy to evaluate the results and evaluate each model. In this experiment, the algorithms are implemented and the accuracy of the results of each algorithm is analysed by comparing them horizontally to obtain the optimal algorithm for prediction.
Design and Implementation of a Multimodal Data Collection and Distribution System Based on Python-Taking School Management System as an Example
Authors: Huang Yucheng , Yi Junyu , Yin Yuting
Published: December 2024

The multimodal data collection and distribution system enables users to enter multimodal information through the platform, including but not limited to paper and electronic information. The backend administrator can then summarize these pieces of information, facilitating efficient data collection for managers. This system is written on the Windows platform using Python as the development language. It aims to develop a multimodal data collection and distribution system. Through the research of the system, it can not only enhance the comprehensive ability of community project analysis, design, and development, but also provide an excellent management platform for multimodal data collection and distribution, offering a convenient path to improve data collection efficiency. This thesis follows software engineering design principles, employing methods such as program structure diagrams, flowcharts, activity diagrams, and sequence diagrams in the system design. It achieves automated processing and real-time distribution of multimodal data. The system possesses flexible expandability and high security, capable of adapting to data management needs of different scales and scenarios. Through continuous optimization based on user feedback, the system constantly improves the accuracy of data analysis and distribution, providing users with efficient and intelligent data information services.
Research on the Application of Generative Artificial Intelligence in Games
Authors: Qi Zhikai
Published: December 2024

Generative artificial intelligence is a key research and widely focused in computer science today which drive technological innovation in the gaming industry. James Gwertzman, a partner at A16Z's Investment firm, once said, "I see unprecedented innovation not only in how games are played but also in how they are built." Generative AI holds unique advantages in game development, offering new directions for the game industry. These include, but are not limited to support creating more efficient assistance in game content, enhancing player experiences, lowering the barriers to game development, and promoting industry growth. This article explores the development of generative AI, analyzes its applications in different stages of game development, discusses the advantages of generative artificial intelligence in game development, and analyzes the advantages of generative AI in these stages while conducting relevant case studies. Furthermore, it investigates the new directions about what generative AI can bring to gaming, providing valuable insights and references for game developers.
The Current Status and Future Trends of Wearable Devices
Authors: Shang Xiaoyun
Published: December 2024

Wearable devices have emerged as a revolutionary advancement in modern technology, reshaping how individuals interact with their surroundings and manage personal health. These compact, portable tools integrate seamlessly into daily life, enabling real-time monitoring of health metrics, fitness progress, and environmental factors. Evolving from basic fitness trackers to sophisticated multifunctional gadgets, wearables now facilitate diverse applications, including chronic disease management, augmented reality experiences, and smart home automation.
The rapid integration of sensors, artificial intelligence, and wireless connectivity has amplified their utility, transforming them into essential components of the Internet of Things. Wearable technology plays a critical role in promoting preventative healthcare by tracking vital signs, such as heart rate, oxygen levels, and sleep patterns, providing users and healthcare professionals with actionable insights. Furthermore, their applications extend beyond healthcare to fields like sports, education, and entertainment, where AR and virtual reality technologies create immersive experiences.
Despite their potential, wearable devices face challenges such as data privacy concerns, limited battery life, and high costs. This paper examines the technological evolution, current applications, and societal implications of wearable devices while exploring future trends and innovations. These include advancements in AI-powered diagnostics, non-invasive biosensors, and their expanding role in connected ecosystems.
Study and Comparison of Image Scaling Algorithms
Authors: Yang Fei
Published: December 2024

Image scaling is a fundamental task in digital image processing and computer vision, which involves adjusting the size of an image to fit different display devices or storage needs. In this process, there is a trade-off between processing time and the smoothness and sharpness of the target. The purpose of image scaling algorithms is to solve the display of images on different resolutions. Current image scaling algorithms are not only traditional interpolation algorithms, but also algorithms centered on computer vision and content-aware techniques. This article aims at image scaling, and several common interpolation algorithms: nearest neighbor interpolation, bilinear interpolation, bicubic interpolation algorithm, and content-aware Seam Carving algorithm based on content-aware algorithms, and analyzes and compares the performance of these algorithms at multiple levels. Different interpolation formulas are summarised and simulation experiments are performed. Set to the same scaling ratio. Analyse and compare the details, sharpness, speed, and edges of the images of different algorithms after simulation. Discuss the advantages and disadvantages of their operation in different environments
A MDA-based multi-modal fusion model for panoramic viewport prediction
Authors: Lyu Jinghao
Published: December 2024

The application of fusion technology is of considerable importance in the field of multi-modal viewport prediction. The latest attention-based fusion methods have been shown to perform well in prediction accuracy. However, these methods fail to account for the differential density of information among the three modalities involved in viewport prediction - trajectory, visual, and audio. Visual and audio modalities present primitive signal information, while trajectory modality shows advanced time-series information. In this paper, a viewport prediction framework based on a Modality Diversity-Aware (MDA) fusion network is proposed to achieve multi-modal feature interaction. Firstly, we designed a fusion module to promote the combination of visual and auditory modalities, augmenting their efficacy as advanced complementary features. Subsequently, we utilize cross-modal attention to enable reinforced integration of visual-audio fused information and trajectory features. Our method addresses the issue of differing information densities among the three modalities, ensuring a fair and effective interaction between them. To evaluate the efficacy of the proposed approach, we conducted experiments on a widely-used public dataset. Experiments demonstrate that our approach predicts accurate viewport areas with a significant decrease in model parameters.
How Do Linkages among Financial Institutions Help to Explain the 2008 Financial Crisis?
Authors: YuXin Eazin Zhang
Published: December 2024

Currently, there is a widespread consensus that modeling the financial system as a network is fundamental for deep understanding and effective management of various phenomena. This article aims to provide a brief introduction to the concept of financial networks and focuses on its two core characteristics: clustering and centrality. This paper will evaluate and analyze the2008 U.S. financial crisis based on two characteristics of financial networks: clustering and centrality. It will discuss in detail how financial networks link and amplify financial contagion. For example, it will examine how the high and low values of the clustering coefficient can lead to different consequences for economies. It will also explore how various types of centralities can cause different impacts and how these impacts align with actual event.
AI-Mediated Leadership and New Employee Onboarding: Applying Expectation Violation Theory to Understand Acceptance of AI Avatars
Authors: Liu Yichen , Zhang Yaqi
Published: December 2024

This paper explores the role of AI avatars as an emerging form of interaction in organizational management, especially the research gap in the acceptance and interaction patterns of AI avatars in the context of new employee organization socialization. Through a structured questionnaire and quantitative analysis with a Likert scale, we discuss the impact of the Expectation Violation Theory (EVT) and the Technology Acceptance Model (TAM) on the socialization of new employees.
Seeking New Managerial Perspectives for Value Generation
Authors: Scaratti Giuseppe , Ivaldi Silvia , Frimann Søren
Published: December 2024

In this article, we take up some of the suggestions presented in the call for papers emphasizing the connections between the concepts of new management and transdisciplinarity.Since the aim of the special issue is to explore experiences and studies related to the development of managerial thought, the innovation in managerial activities, and the overcoming of neoliberal managerial mainstreaming approaches, we solicited contributions connected to ways that management may support the overcomingof critical situations, facing the evolution required to reconfigure existing working, professional, and organizational cultures, and how it may be able to deal with an incoming challenging, paradoxical, and contradictory scenario.
What Makes Me Stay Here?
Authors:  Gambirasio Maddalena
Published: December 2024

This article takes a qualitative approach to understanding the meaning of the good life in a situated organisational context, addressing the possibility of staying at work as a good enough place, even though it is facing critical events (turnover, mass resignations, and mergers and acquisitions). The paper presents a case study of a tax and legal firm that was formed in 2020 from the merger of two accounting firms and that is having difficulties attracting and retaining experienced talent. The article aims to explore a concrete organisational case in which people are grappling with the decision to remain with the firm (legacy and persistence) or leave in search of new professional opportunities (innovation and change). Epistemological and methodological implications are highlighted, focusing on the research object as a heterotopic text in which various languages, voices and practices are diffractionally assembled Deleuze and Guattari 1987), interweaving various discourses and practices (Cunliffe and Locke 2020).