bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Urban Transportation Planning and Optimization Based on the Concept of Smart City
Authors: Xu Yifei
Published: January 2025

With the accelerating global urbanization process, transportation problems have seriously affected the quality of residents life and urban economic efficiency. Through the comprehensive review of the concepts of smart city, and with the help of scientific and technological innovation, this essay aims to excavate and extract effective strategies that can be applied to modern traffic management. In this essay, the method of combining literature investigation and case analysis is adopted. After detailed evaluation, the author confirmed that the smart city technologies have achieved remarkable results in optimizing urban transportation systems as not only can they directly alleviate urban traffic pressure, but also contribute to the improvement of environmental quality and social well-being. This statement is proved by different applications of smart city technologies that are mentioned, the intelligent traffic model system can effectively ease traffic congestion through the precise control of traffic flow. The extensive deployment of shared travel platforms can reduce the number of private cars on the road, improving the road capacity. Public transport optimization and real-time information integration services make it much convenient for citizens to plan their trips, encouraging more people choosing public transport, thereby reducing overall transport energy consumption and emissions. This essay can provide strong support for urban policy makers and management agencies, guide their scientific layout and efficient governance, and jointly create a new chapter of urban transportation.
The Effect of Inflation on Economic Growth
Authors: Zhang Runshuo , Zhou Ziheng
Published: January 2025

The research theme of this paper is to analyze the impact of inflation on the economy, encompassing both its positive and negative effects. By retrieving relevant literature and analyzing specific instances, it elaborates on the various ways in which inflation affects the economy. The paper delves into the economic landscape shaped by inflation, examining the strategies employed by governments to address its impacts. Inflation not only impacts the daily lives of consumers but also influences the investment decisions of producers. Concurrently, other financial products such as real estate and stock markets are also affected by inflation, posing threats to the stability of the entire financial market and potentially leading to economic imbalances. This paper further expands on these points, discussing how inflation can both stimulate economic growth through modest increases that spur consumption and investment, while also detailing its more severe consequences, including reduced consumer purchasing power, rising living costs, producers' struggles with cost escalation in decision-making, and the exacerbation of volatility in financial markets like real estate and stocks, which can shake market confidence, compromise financial stability, and ultimately contribute to economic imbalances. Additionally, the paper explores the range of monetary and fiscal policies governments can adopt to effectively manage inflation challenges and safeguard economic stability and sustainable development.
The Link Between Life Expectancy and Personal Income in China
Authors: Feng Xiyi
Published: January 2025

This paper aims to identify the link between life expectancy and personal income in China by identifying the factors affecting both variables. Through the use of a linear regression model, this paper analyzes the significant factors with samples from 30 cities in China. Based on a hypothesis, among 5 variables that were chosen from different perspectives, the factors of the regional poverty rate and the average level of education received do correlate with life expectancy and personal income, therefore linking these two variables together, demonstrating a positive correlation with a gradient of 0.292 of the shape of the income-longevity curve. The conclusion of this study provides a new perspective on the relative factors affecting the link between life expectancy and personal income in China, which can possibly provide fundamental data as reference and constructive suggestions to policy formulators of public health in order to narrow the gap of life expectancy of different regions.
Research on the Development Direction of Chinese Enterprises Innovation under the Technological Revolution
Authors: Gong Yiyun
Published: January 2025

In this paper, based on the theory of disruptive innovation and the 2023 Forbes China innovation enterprise list, an analysis of the enterprises that become innovative enterprises, which factors affect them to become innovative enterprises, finally that the development, on the one hand, is closely related to the development of national economy, on the other hand, is the enterprises in the process of development will have their own innovative products or set up research and development centre / institutions as an important step. In the development process of these enterprises, it is more sustainable innovation, or the establishment of new enterprises to develop new markets. Finally, due to the limitations of the sample analysis, the lack of document content of China's small and micro enterprises or start-ups may not be able to take into account the development status of small businesses, such as whether their businesses focus on disruptive innovations in the low-end market.
The Challenge of Healthcare Disparities in China
Authors: Zhang Qinyi
Published: January 2025

This essay explores the present conditions, issues and problems, and medical equity issues in China. This essay, given the actual context of the healthcare system in China, looks into the problems of medical resource allocation, medical security mechanisms, medical quality, and inequalities of medical services provided to different groups of society. The research also evaluates the Healthy China 2030 program and policies such as Basic Medical Insurance (BMI), Urban Resident-Rural Resident Basic Medical Insurance (BURI), New cooperative Medical system (NCRS) and many others. Numerous disparities continue to be evident in healthcare regarding structural enhancements and coverage; these inequalities are especially pronounced in rural areas and among the elderly population. The paper further identifies inequalities in resource allocation, the absence of policies, and disparities in policy application among various types of hospitals and regions of the country, recommending the improvisation of policies and the initiation of policies that develop telemedicine.
Current Status of Methane Emissions in China and Its Impact on Climate Change: Policy and Countermeasure Analysis
Authors: Li Shuo
Published: January 2025

Sources of methane emissions include agriculture, such as rice fields and livestock farming, energy production, such as natural gas and oil extraction, and waste disposal, such as landfills. As a potent greenhouse gas, methane has a more substantial short-term warming effect than carbon dioxide, so controlling methane emissions has become an essential goal of global climate action. Countries are reducing methane emissions through policies, regulations, and technical means. Research has found that methane emissions have significantly impacted China's climate system, leading to frequent extreme weather events and posing threats to ecosystems. The Chinese government has adopted emission reduction policies but faces challenges in policy implementation and technology application. This article uses a literature review to analyze the current status of methane emissions in China, analyze its impact on climate change, evaluate the effectiveness of current policies, and propose improvements. The technological obstacles to reducing methane emissions and the challenges in implementing policies are examined in this essay, which combines policy analysis with technical application discussions. This provides a new perspective for climate policy research, enriches the research content in greenhouse gas emission reduction, and offers solid theoretical support for the comprehensive governance framework for climate change response.
Enhancing Chinas Legal Response to Workplace Harassment and Its Mental Health Consequences: Lessons from Common Law Systems
Authors: Tian Xirui
Published: January 2025

The increasing incidence of workplace harassment in China has resulted in substantial mental health concerns among employees, underscoring the necessity for more robust legal measures.. While existing Chinese laws address these issues to a certain extent, there is scope for improvement in effectively managing both harassment and its psychological consequences. This study explores how China can enhance its legal measures to address the mental health impacts of workplace harassment by integrating effective elements from common law jurisdictions, particularly the United Kingdom and the United States. Employing a comparative legal analysis, the study examines the robust legal frameworks of common law countries. The study proposes the utilisation of a Difference-in-Differences (DiD) methodology to assess the impact of legal reforms on workplace harassment and mental health protections in China. Data sources include a review of Chinese legal texts, amendments, and case law from the past decade, quantitative data on harassment incidents and mental health issues, and qualitative insights from interviews with legal experts, human resource professionals, and affected employees. The study identifies areas within China's current legal framework that could be further developed, such as clarifying definitions and enhancing protections. The research proposes actionable reforms tailored to China's cultural context by integrating key elements from common law systems, namely clear legal standards, employer accountability, and accessible recourse for victims. These reforms aim to reinforce legal responses to workplace harassment, to mitigate its mental health impacts, and to foster safer and more supportive work environments, thereby enhancing employee well-being.
Risks and Coping Strategies of Chinese Enterprises' Transnational Operations under the Belt and Road Initiative
Authors: Zhou Sichen
Published: January 2025

Since it was proposed in 2013, the Belt and Road Initiative has become an important framework for promoting global economic cooperation and infrastructure construction. Driven by the initiative, Chinese enterprises have actively expanded overseas markets and strengthened economic cooperation between China and countries along the Belt and Road in various fields. However, transnational operations have brought both opportunities and challenges, and Chinese enterprises are facing many risks in the process of globalization. The purpose of this paper is to analyze the main risks faced by China enterprises in developing transnational operations under the background of "Belt and Road". The results show that Chinese enterprises face four kinds of risks when they carry out transnational operations in countries and regions along the Belt and Road. In view of these risks, Chinese enterprises can avoid political risks by strengthening communication with host governments and participating in international multilateral mechanisms; Diversifying investment portfolios and adopting flexible foreign exchange management strategies to avoid economic risks; Strengthen legal compliance management to ensure compliance with local regulations and use professional legal services to deal with potential legal disputes; Enhance the image of cultural adaptability and social responsibility through cross-cultural training and participation in local social welfare projects.
Research on Formal and Informal News Affecting the Stock Market
Authors: Xu Federico
Published: January 2025

In the current era, technological advancement has facilitated the rapid dissemination of information, surpassing previous communication speeds. As one of the main sources of information for citizens, the news disseminates information to consumers regarding current events. The dissemination of news can influence an individuals opinion. This will result in a shift in the stock market due to the disparate valuations held by individuals, which will in turn give rise to market volatility. The influence of news on market perceptions is well documented, yet the duration of this effect remains a topic of debate. The capacity of the media to exert influence is limited in duration and not enduring. The objective is to ascertain the impact of different types of news on the stock market and the duration of this impact, with the ultimate goal of improving the accuracy of predictions regarding market growth and decline. To test this hypothesis, one must examine the market's behavior both before and after the news event occurs. The objective is to identify a correlation between the outcome of the news and the pricing of the stock. The findings of the research indicate a correlation between the stock price and the company news. Nevertheless, the impact of the news is transient, lasting only a limited period of time.
Ethnic Disparities in Income and Education in China---A Socioeconomic Analysis Based on the 2021 China General Social Survey
Authors: Zhou Kexu
Published: January 2025

China's multi-ethnic composition, with the Han as the dominant group, has shaped both its historical and modern socioeconomic landscape. Despite governmental efforts to promote ethnic equality through policies like ethnic regional autonomy and economic incentives, significant disparities in income and education levels remain among different ethnic groups. This study explores these disparities using data from the 2021 China General Social Survey (CGSS), focusing on how ethnic background influences income and educational attainment. Employing statistical methods such as ANOVA and regression analysis, the study examines socioeconomic indicators for Han, Hui, Zhuang, and other ethnic groups. The results reveal persistent gaps, especially in regions with weak economic foundations. The findings highlight the limitations of existing policies and the need for targeted interventions to promote educational equity and inclusive economic growth in minority-dominated areas. The study also discusses the importance of addressing structural inequalities in education and economic opportunities for minority groups. Limitations include the cross-sectional nature of the data and the absence of regional variations, which future research should address.
The Future of Data Visualization in Business
Authors: Chen Rui Jie Jerry
Published: January 2025

Data visualization has been emphasized as a crucial component of business analytics. It is widely used to present intricate information in a graphical format, effectively portraying complex data clearly and effectively. The advent of big data and the demand for real-time analytics have led to an increased need for advanced visualization tools. In this research, we will explore future trends in data visualization within a business context and provide an overview of the developments in areas such as AI, machine learning, Augmented Reality (AR) or Virtual Reality (VR) integration, and real-time interactive dashboarding. It examines how these technologies can further enhance business decision-making by providing clearer insights and enabling more advanced data analysis capabilities. Additionally, the study addresses the challenges businesses face in implementing these advanced tools, such as data quality issues and the need for user training and adoption. The intention is to offer valuable findings for businesses that utilize these technologies to advance their strategic planning and remain competitive in the data-driven landscape.
On the Dynamic Nexus of Economic Growth and Green Innovation in China: New Perspective from a GMM Panel VAR Approach
Authors: Wang Motong , Wang An , Li Danyao , Wang Rundi , Li Xinze
Published: January 2025

Using data from 1992 to 2021, this paper examines the dynamic relationship between economic growth and green innovation in China by applying a panel Vector Autoregression (VAR) model along with the system-Generalized Method of Moments (GMM) procedure. We break down green innovation into two main components: the number of green invention patents and the number of green utility model patents, allowing for a more detailed analysis of each types impact. The findings reveal a significant dynamic interaction between economic growth and green innovation. Specifically, economic development demonstrates a strong, positive effect on green innovation, suggesting that as the economy grows, there is increased support for eco-friendly innovations. However, the results also indicate that green innovation exerts a negative effect on economic development, potentially due to the initial costs and shifts in resources required for sustainable initiatives. This complex interplay sheds light on the challenges and opportunities for sustainable growth in China.
Assessment of Agricultural Carbon Emission Reduction Effect of Land Consolidation: A Quasi-natural Experiment Based on a High-standard Farmland Construction Policy
Authors: Guan Xianyue
Published: January 2025

Using 2007-2017 panel data from 31 provinces,this paper analyzes the impact of high-standard farmland construction policies on agricultural carbon emissions in China. A continuous differential model reveals: (1) These policies consistently reduce agricultural carbon emissions, with significant effects confirmed by robustness checks. (2) Reducing agricultural chemical usage intensity is a key factor in carbon reduction. (3) The policy's effectiveness differs by region, being less pronounced in major grain-producing areas and more evident in non-major areas, and more significant in regions with strong land circulation. Therefore, local governments should adopt differentiated strategies, maintain policy independence, and focus on reducing chemical usage to promote low-carbon and green agricultural development.
A Review of Enterprise Management and Risk Assessment Methods in the Field of Corporate Finance in the Past Decade
Authors: Zhang Linjing
Published: January 2025

Over the past decade, enterprise management and risk assessment methods in the field of corporate finance have received extensive attention. Enterprises need to balance financial stability and sustainable development in a complex and changing economic environment. This article systematically combs the core theories of enterprise management (such as corporate governance, agency theory) and their practical applications in modern finance. The combination of literature research and case analysis, coupled with risk assessment methods such as data analysis technology, VaR model, and Monte Carlo simulation, enables a comprehensive investigation into the interrelationship between management practice and risk control. The research data is derived from the latest literature and integrates financial big data and artificial intelligence application cases, covering different types of assessment methods such as market risk and credit risk. The findings of the research demonstrate that effective enterprise management provides the fundamental basis for scientific risk assessment, and innovative assessment tools assist enterprises in effectively controlling risks in financial decision-making and achieving long-term value maximization.
Digital Transition, Audit Quality, and Quality-Driven Enterprise Development
Authors: Tang Xudong
Published: January 2025

Technology-driven economy is leading the way in the global technological and industrial revolution, emerging as a significant catalyst for the growth of new productive forces. The Central Economic Work Conference emphasized the need to actively foster new industrialization, advance technology-driven economy, and accelerate the development of artificial intelligence. Additionally, technology-driven economy considerably alters the green transformation and upgrading of high-pollution industries. In this context, quality-driven audits offer essential oversight and management throughout this transition. The research focuses on listed firms in high-emission industries over the period 2012 to 2022, analyzing how digital transition contributes to the advancement of enterprise quality. The findings demonstrate that digital transition significantly fosters quality-driven growth, with audit quality serving as a positive moderating factor between digital transition and corporate development. These results not only provide valuable insights into improving total factor productivity and leveraging digitalization's multiplicative and additive effects on economic progress but also offer important guidance for traditional enterprises aiming to balance economic growth with environmental sustainability during their digital transition journeys.
Research on the Determinants of Elevated Healthcare Costs in the U.S. and the Factors Contributing to the Slowdown in Cost Growth
Authors: Wang Mingyuan
Published: January 2025

In light of the sustained yet decelerating growth trajectory of healthcare expenditures in the United States, this paper delves into the major drivers of this phenomenon, with an emphasis on the impact of an aging population on healthcare spending. As the U.S. population aged 65 and older continues to grow, aging is increasingly becoming a significant factor in rising healthcare costs. Furthermore, the increasing cost of healthcare services is a contributing factor to this trend. By analyzing existing data and literature, it examines the key factors contributing to the rise in healthcare costs, including the increased demand for healthcare services among the elderly, the high cost of prescription drugs, and the imbalance between supply and demand in the U.S. healthcare system. In addition, the paper explores the policy measures taken by the U.S. government to address rising healthcare costs, such as health insurance reform, health management for the elderly, and financial subsidies. The results indicate that while healthcare spending in the U.S. remain high, government interventions, such as increasing competition in the insurance market and providing healthcare subsidies, are slowing cost growth to some extent.
The Causes, Impacts, and Solutions of the Global Debt Crisis
Authors: Hu Haoran , Huang Jiangwei , Wang Kejie
Published: January 2025

The global debt crisis, typified by rising government debt, jeopardizes global economic stability. This paper focuses on the key factors, which include expansionary fiscal policies, inefficient tax structures, and monetary policy issues such as high interest rates. The consequences are widespread, including unemployment, currency depreciation, financial market instability, and long-term economic stagnation. The research identifies inequities, disturbed global trade factors, and the worsening of poverty as consequences that last. Proposed solutions include progressive taxation, fiscal discipline, strategic monetary policies, and more international collaboration to alleviate fiscal imbalances and foster long-term recovery. This research provides actionable strategies to mitigate the crisis, emphasizing progressive tax reforms, sustainable fiscal and monetary strategies, and international cooperation, offering pathways for governments and institutions to achieve economic recovery and long-term debt sustainability.
The Localization Strategy of Costa Coffee in the Chinese Market and Its Impact on Consumer Choice Preference and Brand Loyalty
Authors: Pan Yu
Published: January 2025

The focus of this study is the strategy of Costa Coffee in the Chinese market through its endeavor to analyze the extent to which this brand adapted product offerings to suit local consumers' preferences. This research seeks to establish the degree to which the offerings of Costa Coffee, differentiated for the local market, would influence the choice preference and brand loyalty of the Chinese consumer. The study provides a comprehensive view of consumers' perceptions of the brand, along with the effectiveness of Costa's market strategies by way of interviews with consumers and analysis of market data. The findings indicate that through the development and introduction of beverages and food items at local levels of taste and cultural relevance, Costa Coffee has greatly captured the psyches of Chinese consumers. The approach made Costa Coffee more popular with Chinese consumers but also gave the brand a considerable hike in the sales graph with increased customer loyalty. By blending the global brand identity perfectly with the local flavor, Costa Coffee has set the ideal example for successful localization in the diverse and competitive market.
Exploring the Price Volatility of Designated Financial Derivatives for EU Carbon Emission Allowances
Authors: Xie Minghao
Published: January 2025

Determining the price of financial derivatives and the relationship between the EU carbon emission quota and derivatives price fluctuation are the core of carbon emission quota trading. This has a great impact on the stable development of the carbon emission quota market. This paper collects and uses the market data of financial derivatives, uses EVIEWS as a tool, and uses econometric knowledge to analyze. It is found that the two main factors, best_ask, and best_bid, have a significant impact on financial prices. When analyzing the complexity of the financial derivatives market, this paper not only relies on EVIEWS' intuitive data display function but also skillfully combines many econometric methods such as time series analysis and regression analysis. The comprehensive application of these methods enables us to capture the market dynamics more comprehensively and reveal the deep-seated laws hidden behind the data. This paper provides relevant suggestions for China to promote the green transformation of enterprises and reduce carbon emissions.
Exploring the Effects of Social Influence on Online Ratings and Reviews
Authors: Liu Hanze
Published: January 2025

Online ratings and reviews dominate consumer decision-making in the digital era. This research examines the social effect of online reviews and the individual and environmental elements that increase or decrease them. This study poses critical questions: How does social influence affect the credibility and conformity of online ratings and reviews? What roles do individual personality traits and product type play in moderating this influence? By conducting a comprehensive literature review, the study identifies critical factors and trends in this domain and elucidates the mechanisms of social influence in online environments and its varied impacts across different contexts. The literature review reveals that social influence greatly influences online evaluations, with less experienced reviewers and subjective categories more conformist. Experienced reviewers are more independent. According to the report, businesses must actively manage their online reputations, and platforms must incorporate tools to counteract herding effects and create a more credible review environment. These findings help explain digital consumer behavior and online social impact.
Interaction Between Carbon Emission Derivative Market and Environmental Policy: Theoretical Insights and Future Research Paths
Authors: Zhang Ruiyang
Published: January 2025

As climate change continues to pose significant global challenges, effective mechanisms for reducing greenhouse gas emissions are increasingly crucial. This study employs a comparative analysis of carbon trading systems (ETS) and carbon taxes to examine their impact on the adaptability and efficiency of carbon emission derivatives markets. Our findings reveal that carbon trading markets are 30% more efficient in resource allocation than carbon tax regimes, with significantly higher liquidity and investor participation. In contrast, carbon taxes, while stabilizing long-term costs, may reduce market activity by approximately 20%. This research highlights the importance of integrating both policy approaches to enhance market dynamism and support emission reduction targets, providing valuable insights for policymakers in designing effective environmental strategies.
An Analysis of the Influence of Brand Sponsorship and Social Media on the Reconfiguration of Athlete Value
Authors: Yin Haobo
Published: January 2025

Today, athletes are not only sports stars, but also powerful influencers and brand ambassadors in the global marketplace. The transformation of sports stars into global icons as the commercial value of football players has risen dramatically over the past six decades. Thus, the study examines the factors driving player wage growth, with particular emphasis on brand endorsements, social media, and the professionalization and globalization of sports clubs. By analyzing historical wage data and exploring case studies of key endorsements by Nike, Adidas, and top athletes such as Michael Jordan, Lionel Messi, and Cristiano Ronaldo, the paper identifies social medias pivotal role in elevating athletes commercial influence. And the data is drawn from industry reports and academic sources on sports marketing and international sport commerce. The results demonstrate that the interplay between brand partnerships, social media presence, and the globalization of soccer clubs has significantly contributed to the exponential growth in players commercial value.
Research on the Green and Low-Carbon Transformation Path of the Coal Power Industry Empowered by Transition Finance
Authors: Zuo Jiahe
Published: January 2025

Under the dual carbon targets, despite the continuous emergence of new energy sources, coal power remains the primary source of electricity in China. The transformation and upgrade of coal-fired power units towards green development is a challenging task. However, the transformation of coal power units in China faces numerous difficulties. As a cutting-edge tool for supporting the green and low-carbon transformation of high-carbon industries, transition finance plays a crucial role in empowering the low-carbon transformation of the coal power industry. This paper examines the current development status, industry challenges, and policy support paths for the green and low-carbon transformation of Chinas coal power industry from the perspective of innovation in transition finance. The research finds that the pressure on carbon reduction in Chinas coal power industry remains significant, with a substantial funding gap for the industrys low-carbon transformation. Enterprises generally face losses, and the stability of the industrys low-carbon transformation is affected. The paper suggests that it is urgent to establish a transition finance framework and standards tailored for the coal power industry, optimize the incentive and constraint mechanisms of transition finance for coal power enterprises undergoing transformation, and accelerate the innovation of transition finance products and their implementation.
The Difference in Consumption Between China and the West: Taking Real Property and Childrens Expenses as Examples
Authors: Han Yiming
Published: January 2025

With the prevalence of cross-cultural exchanges, people need to understand the cultural differences of different countries to avoid contradictions. This paper aims to study the differences between China and the West in terms of consumption concepts. By reading a lot of literature, this research analyzed the historical background of China and the West, specifically understood the important role of several important consumption changes in the formation of today's consumption concept. In terms of consumption objects, the specific analysis of the two contrasting examples of real estate and children in the fields of Chinese and Western consumption is used. Chinese people do not like to rent a house. People think a house that belongs to them is very important for the family. While the West tends to rent a house. People think that loan is a normal thing. Westerners will invest more in themselves, rather than treating their children as their full world. Around the world, Westerners think that themselves are the most important, while Chinese people, under the influence of Confucianism, believe that family is very important, and children are the future of the family. Most Chinese people believe that children are more important than themselves. Generally speaking, there are great differences in the concept of consumption in China and the West, which is influenced by both historical factors and modern policies. People should understand and respect the cultural and consumption differences of different countries and jointly promote the development of cross-cultural exchanges.
Research on the Application Technology of Blockchain in Accounting Information System Based on Case Study
Authors: Duan Lian
Published: January 2025

As a result of the national strategy's development in the information era, blockchain technology has introduced intelligent trends to the entire accounting management industry due to its features of traceability, decentralization, and immutability, which are highly suitable for large-scale information management. Notable blockchain technologies, such as AntChain, have made significant advancements in the data processing industry, particularly in ensuring data storage verifiability, preserving privacy, enabling off-chain data interoperability, supporting cross-blockchain interaction, facilitating secure multi-party computation, and establishing robust security protection systems. This paper summarizes the application of blockchain technology in accounting information systems, with a specific comparison of AntChain as a representative case, and highlights the role of blockchain in driving innovation within these systems.
Explainable AI in Quantitative Trading: Factor Selection and Model Transparency with Attention Mechanisms
Authors: Leng Rufeng
Published: January 2025

Machine learning-driven quantitative trading revolutionized financial decision-making, but the opaqueness of most models makes it hard to trust, be responsible or comply. This paper investigates how Explainable AI can address these issues, especially the role of attention mechanisms in factor choice and model transparency. Attention mechanisms automatically assign a priority to specific factors like economic signals and technical signals, responding to market conditions and generating clear-cut explanations of model behaviour. We talk about their potential to reduce risks, biases, and align with long-term financial goals, all the while maintaining compliance with demanding regulations. Attention functions also improve scalability by automatically factor selecting and decreasing human intervention, making it possible to make decisions in real time in high-frequency trading systems. By taking the ideas from theory to application, this article illustrates how attention engines combine the best of machine learning with the practical demands of the financial sector to provide powerful, adaptive and open trading tools for the new world of trading.
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model
Authors: Shen Jiajiang , Wu Weiyan , Xu Qianyu
Published: January 2025

In recent years, the importance of accurate weather forecasting has become increasingly prominent due to the impacts of global climate change and the rapid development of data science. Traditional forecasting methods often struggle to handle the complexity and nonlinearity inherent in climate data. To address these challenges, we propose a weather prediction model based on a multi-scale convolutional CNN-LSTM-Attention architecture, specifically designed for time series forecasting of temperature data in China. The model integrates Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and attention mechanisms to leverage the strengths of spatial feature extraction, temporal sequence modeling, and the ability to focus on important features. The development process of the model includes data collection, preprocessing, feature extraction, and model building. Experimental results show that the model performs excellently in predicting temperature trends with high accuracy. The final computed results indicate that the Mean Squared Error (MSE) is 1.978295 and the Root Mean Squared Error (RMSE) is 0.8106562. This work marks a significant advancement in applying deep learning techniques to meteorological data, offering a valuable tool for improving weather forecasting accuracy and providing essential support for decision-making in areas such as urban planning, agriculture, and energy management.
A Review of Research on Robot Automatic Control Technology
Authors: Wu Jingyu
Published: January 2025

The promotion and application of robotic technology are of great significance for the improvement of production efficiency and the reduction of production risk and cost, which requires robots to have strong adaptability and flexibility in sophisticated situations, so the study of robot automatic control technology has always been a hot topic of research at home and abroad. This paper combines three stages of the development of automatic control theory, reviews the algorithms applied to robot automatic control technology at different phases of development, describes in detail the principles of PID control algorithms, adaptive control algorithms, sliding mode control algorithms, H control algorithms, neural network control algorithms, and fuzzy control algorithms, and their applications in robotics. The advantages and disadvantages of different algorithms in practical application scenarios are analyzed. Hybrid control algorithms integrate a variety of control techniques, combining the advantages of control schemes and overcoming the limitations that exist in different control techniques. In the future, hybrid control algorithms will be widely used in the field of robot control and the focus of future research are proposed.
Bevezetés a politikum fenomenológiájához
Authors: Marosán Bence Péter
Published: January 2025

2023. május 30. és június 1. között 29 előadóval tartotta meg a Magyar Fenomenológiai Egyesület és az ELTE BTK Filozófia Intézet éves, tematikus konferenciáját, melyet „A politikum fenomenológiája” címmel a politika fenomenológiai megközelítéseinek szentelt. A konferenciának olyan kiemelt előadója is volt, mint a Penn State University professzora, a Leuveni Husserl Archívum egykori igazgatója, Nicolas de Warren, aki Sartre-ról tartott egy rendkívül izgalmas előadást („Anarchism Against Authoritarianism: On the Many Senses of the Political in Sartre”). A konferencia során az előadók azt járták körbe, hogy a fenomenológia számára irányadó első személyű perspektíva, valamint az egyes szám első személyű szubjektív tapasztalat felől közelítve hogyan adhatunk számot a politikum, a tágabb közösség politikai berendezkedésének kérdés- és jelenségköréről. Voltak, akik az egyes szám első személy, illetve a többes szám első személy perspektíva közti átjárhatóság nehézségeit hangsúlyozták (Olay Csaba: „Politika és fenomenológia – megfontolások Hannah Arendt nyomán”), de voltak, akik a hagyományosabb, husserli alapvetésű megközelítés szellemében kevésbé látták problematikusnak a feladatot, hogy fenomenológiailag legitim módon eljussanak az egyes szám első személyű megközelítéstől a többes szám első személyű (vagy harmadik személyű: „ők”) perspektíva horizontjáig (pl. Toronyai Gábor: „A politikum és az állam fogalmának értelmezhetősége Husserlnél”). Ezen túl a – szerencsére mindig jelentős számú és végig intenzív érdeklődést mutató, a vitákban aktívan közreműködő – hallgatóság a legkülönbözőbb témákkal és szemléletmódokkal találkozhatott. A konferencia központi témáját az előadók a témák és problémák lenyűgöző változatosságát mozgósítva járták körül. Lapunk a múltban már többször is befogadta a Magyar Fenomenológiai Egyesület és az ELTE BTK Filozófia Intézet tematikus konferenciájának anyagát, és ezúttal is örömmel tesz eleget ennek. Az olvasó részben a konferencián elhangzott egyes előadások lektorált és átdolgozott változatait ismerheti meg, részben új szöveget is olvashat. Jelen, szintén „A politikum fenomenológiája” címet viselő blokk hat tanulmányt tartalmaz, mindegyik tanulmány valamilyen módon a már megjelölt filozófiai problémához kapcsolódik, tehát az egyes és a többes szám első személyű perspektíva közti átjárhatóság kérdéséhez a politika jelenségkörének vonatkozásában, különös tekintettel a fenomenológiai módszerre, valamint annak e téren történő legitim alkalmazhatóságára.
Egzisztencia és politika
Authors: Ullmann Tamás
Published: January 2025

Az egzisztencialista filozófia háttérbe szorulása után napjainkban az egzisztencia újrafelfedezésének lehetünk tanúi. Ezt a megújuló érdeklődést a jelen tanulmány három aspektussal szeretné kiegészíteni. A tanulmány első részében az egzisztencia és a történetiség problémáját mutatom be és az egzisztenciális problémák egy új tipologizálására teszek javaslatot. A második részben az egzisztencia és a hatalmi hatások viszonyáról lesz szó, elsősorban a társadalmi elvárások és az implicit kulturális logika elemzése révén. A harmadik részben pedig az egzisztencia és a politika kapcsolatát igyekszem megvilágítani egyrészt a pszichopolitika általános fogalma, másrészt a pozitív pszichológia által propagált modern boldogságfogalom kritikája felől.
Gondolatok a barátság politikai ontológiájáról Giorgio Agamben Arisztotelész-olvasata alapján
Authors: Ilyés Zalán-György
Published: January 2025

Tanulmányomban Giorgio Agamben két szövegének együttolvasására teszek kísérletet amellett érvelve, hogy a L’amicóban adott Arisztotelész-olvasat egy olyan barátságontológiát implikál, mely szinte azonos a korai La comunità che vieneben kidolgozott politikai ontológiával. A két szöveg mögött meghúzódó közös ontológiai koncepció exponálásával és Agamben Arisztotelész-olvasatának ismertetésével és filológiai-filozófiai megalapozásával arra teszek kísérletet, hogy rámutassak az arisztotelészi barátságkoncepció kortárs politikai filozófiai relevanciájára. Ez többek között abban áll, hogy képes fényt deríteni a kortárs közösségfilozófiák azon hiányosságára, mely abban gyökerezik, hogy nem artikulálják kielégítően azt a viszonyt vagy az érintkezés azon formáját, mely az általuk vizionált és elgondolt közösséget összetartja. Ha a két szöveg összeolvashatóságát bizonyítottuk, úgy vélem azt illetően is tisztábban fogunk látni, hogy az Arisztotelész által írtak mentén miként gondolhatóak tovább és egészíthetőek ki ezek a diskurzusok.
STABILITY ANALYSIS OF A CAPUTO TYPE FRACTIONAL WATERBORNE INFECTIOUS DISEASE MODEL
Authors:   Department of Mathematics, Faculty of Science, Van Yuzuncu Yil University, 65090 Van, Turkiye, Buyukadalı Cemil
Published: January 2025

We introduce a Caputo type fractional waterborne infectious dis-
ease model. Disease transmissions of this model has saturation effect of infec-
tious individuals on both human-to-human and environment-to-human con-
tacts. For this model we find sufficient conditions for local stability of disease
free and endemic epidemic equilibriums by linearization and global stability of
disease free equilibrium by Liapunov method. Appropriate numerical simula-
tions are also given to verify the results.
ON THE PERIODIC SOLUTIONS OF NEUTRAL INTEGRO- DIFFERENTIAL EQUATIONS VIA FIXED POINT METHOD
Authors:   Department of Educational Sciences Faculty of Education Siirt University 56100, Siirt- Turkey, Arik Irem , Tunc Cemil ,   Department of Mathematics Faculty of Sciences Van Yuzuncu Yil University 65080, Van-Turkey
Published: January 2025

In the present article, we study existence of periodic solutions
(EPSs) of a nonlinear neutral integro- differential equation (NIDE) with mul-
tiple variable delays using Krasnoselskiis fixed point theorem. Transforming
the considered NIDE to an equivalent integral equation, we prove the EPSs
using a fixed point mapping, which is defined as a sum of a contraction and a
compact map. The result of this paper has contributions to the topic of the
EPSs of NIDEs.
An Analysis of Identity-Related Affect Expression in Chinese-American Movies
Authors:   Asia Cultural Creativity Inst., Wu Juan
Published: January 2025

This paper aims to examine the hybridity and fluidity of the “Chinese American” identity, as well as the emotions associated with it, by analyzing works by Chinese American filmmakers across various generations in a diachronic manner. The Chinese American identity is highly complex and multifaceted. In the past, the limited number of Chinese American films allowed this identity to function as a cinematic commonality. However, with the recent emergence of a broader array of films, it is no longer possible to classify such works under a single category. This study thus deconstructs the “Chinese American” category to uncover generational commonalities and distinctions. The selected films for this study are The Joy Luck Club (1993), The Farewell (2019), and Everything Everywhere All at Once (2022). While mother-daughter conflicts and return narratives serve as shared motifs across the three films, the causes of these conflicts, as well as the modes and destinations of return, differ in each.
The first-generation filmmakers emphasize roots, identifying their sense of self with the maternal figures in their films. They depict the fears that arise from living in an unfamiliar land and the worry or frustration that emerges when second-generation immigrant daughters do not follow their preferred paths. The 1.5-generation filmmakers, however, identify more closely with the daughters in their narratives, expressing doubts about the parental generation and the melancholy they experience while living in America. The second-generation filmmakers articulate the feelings of anxiety and unease experienced by younger generations in everyday life, contrasting with the more focused anxieties of the immigrant generation.
Although tension, dissatisfaction, frustration, doubt, and anxiety are emotions anyone may feel, these films present them within the unique context of relationships between Chinese mothers and their American daughters. These emotions, often referred to as “minority emotions”, emerge when fixed identities clash with fluid ones. As identity and its associated emotions differ across generations, the evolving dynamics of relationships and affect warrant further exploration in future studies.
Impact of Technology Enhanced Learning on Academic Performance of high School Students’ in Physics in Anambra State, Nigeria
Authors: Okoye Nkiru Treasure , Nwoye Amarachukwu Nkechi , Nwuba Izunna Shedrack
Published: January 2025

The study evaluated impact of technology enhanced learning on the academic performance of students in physics in Anambra State. The study guided by four research objectives employed a descriptive survey research design. Multistage sampling procedure was employed to obtain a sample of 200 senior secondary year two (SS2) students, from the 1586 physics SS2 students in Anambra State. A 20-item structured questionnaire, with 4-point Likert-like response options, developed by the researchers from literature review and years of teaching experience with ICT tools was employed to collect data. The instrument, validated by three curriculum experts, from Science Education, and Measurement and Evaluation Departments, all in Nnamdi Azikiwe University, Awka was subjected to pilot testing using Cronbach Alpha formula, a reliability co-efficient of 0.81 was obtained. Mean and Grand mean were employed in to answer the research objectives. The results obtained agreed that technology enhanced learning had significant impact on the academic performance of students in physics positively.