bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Oil Reserve Prediction with Recurrent Neural Networks: A Data-Driven Approach
Authors: Song Hailong
Published: August 2024

"The oil and gas industry relies heavily on accurate reserve predictions for strategic decision-making. This study introduces a Recurrent Neural Network (RNN) model to forecast oil reserves, leveraging the network's ability to capture temporal dependencies within data. After reviewing traditional forecasting methods and their limitations, we present the theoretical foundations of RNNs, focusing on LSTM and GRU architectures. Our methodology involves rigorous data preprocessing and feature engineering, followed by the development of an RNN model specifically tuned for oil reserve forecasting. Experimental results indicate that our model outperforms conventional methods, as demonstrated through a detailed case study. We conclude with insights into the model's effectiveness and propose directions for future enhancements.".
Study on Prevention System Construction of Coal Mine Gas Accident
Authors: He Shudong
Published: August 2024

The occurrence of coal mine gas accident seriously affects the coal mine safety production. It has important practical significance and value to carry out the study of gas accident prevention. Based on the analysis of the characteristics and causal theories of coal mine gas accidents, a coal mine gas accident causation model was studied and constructed. A coal mine gas accident prevention system was proposed, which focuses on four aspects: safety policy guidelines and current situation analysis, coal mine gas safety evaluation, formulation and implementation of preventive measures, and inspection and feedback of measure effectiveness. The research ideas and conclusions can provide reference and guidance for the prevention and control of coal mine gas accidents in China to a certain extent.
A Study of the Rise of Internet Literature and Diverse Influences
Authors: Zhang Ruimeng
Published: August 2024

This paper discusses the rise of Internet literature as a new literary form and its manifold impacts with the rapid development of computer and network technology. First of all, starting from the characteristics of Internet literature itself, it analyzes its distinctive typological features, the virtual nature of easy obsession, the obvious game nature and the convenient interactivity. However, a series of problems have also been exposed in the rapid development of Internet literature, such as the vulgarization of literary taste and style, the tendency of escaping from reality, and the lack of literary value caused by over-emphasis on commerciality and entertainment. In response to these problems, this paper proposes initiatives to improve the quality of online literature, including strengthening self-discipline and creative level from the author level, as well as taking appropriate guidance and control measures at the state level. In addition, this paper also discusses in depth the positive impact of Internet literature on other subjects, such as providing a platform for more people to express their views and works, improving the interaction between authors and readers, promoting the prosperity of the cultural industry, and satisfying the diversified cultural needs of the public. In summary, as a new form of literature, Internet literature has distinctive features and advantages, but also faces many challenges and problems. Only through effective guidance, control and enhancement can this paper ensure the healthy development of Internet literature and give full play to its positive role in promoting cultural prosperity and meeting people's spiritual needs.
A Study of Investigating Estee Lauder’s Marketing Strategy
Authors: Nie Chuanjia
Published: August 2024

This article will investigate Estee Lauder’s marketing strategy based on the “4P” theory, which includes products, price, place, and promotion. Estee Lauder is one of the biggest cosmetic companies in the world, in this article, the reasons for Estee Lauder’s success and the strategy they used to maintain success will be analyzed. Estee Lauder positioned itself as a luxury brand, it is dedicated to high product quality, premium pricing, and active promotion. The Estee Lauder Companies is also a big cooperation that operates globally to play in the markets of various countries and regions. They have also acquired other brands under Estee Lauder’s name to expand their market, which now includes luxury brands, middle class brands and cheap brands. Products from Estee Lauder’s sub brands not only include makeup and skincare, but also fragrances, candles, bags, and accessories. This article focuses on these aspects addressed above to investigate how Estee Lauder managed their companies and how they were able to leverage their brand to a high leven through these channels
Analysis on Spatio-Temporal Evolution Characteristics of Liaoning Urban Agglomeration
Authors: Jiang Yuwei
Published: August 2024

To address the problems in the development process of urban agglomerations, based on the different degrees of influence of different driving factors, spatial and temporal evolution is used to analyze the landscape pattern changes in land use and the relationship between population and land in anisotropic growth, so as to obtain favorable factors in the process of urban development and timely adjust the problems brought about by urban development. Taking the urban agglomerations in Liaoning Province as an example, according to the landscape pattern changes, the urban ecosystem is relatively stable from 2010 to 2020, which can balance the relationship between human and nature in the process of development; in the relationship between human and land in urban agglomerations, the economic development of each city is uneven due to the influence of industrial economy and local resources, and the cities that are lagging behind in development need to be transformed. The research results have some reference value for the future development of urban agglomerations.
Eye Fatigue Detection System Design and Implementation
Authors: Nie Yang , Liu Taibo , Han Long
Published: August 2024

This paper implements the detection and recognition of eye fatigue state based on artificial intelligence technology and computer vision. Through the detection and recognition of eye closure time, the system provides voice warning information to prompt the driver, so as to reduce the traffic accidents caused by fatigue driving. The system is connected to a night vision camera to achieve real-time face detection and recognition. On this basis, the system locates the driver's eye feature points and calculates the parameters corresponding to the eye feature state, which is used as the basis for eye fatigue detection. When the driver has closed eyes (non-blinking) driving, the system will issue voice warning and upload the image of fatigue state in real time using the cloud platform.
Study on hydrate decomposition under microwave heating
Authors: Ma Xiao , Luo Xin-wei , Yang Huo-hai
Published: August 2024

The decomposition of hydrates is a complex process involving three phases (gas phase, water phase, solid phase) and components (gas, water, hydrate). It is based on the numerical simulation of mass conservation and energy conservation equations for natural gas hydrates. The simulation results indicate that microwaves can effectively transfer energy from the feed, thus significantly improving the heating effect in the near-well area.
Lamprey gender ratio study based on delayed modeling of resource availability changes
Authors: Li Jiaming , Qiu Kewen , Ouyang Ziheng
Published: August 2024

This study explores the application of two cutting-edge modeling approaches, the continuous-time staged structural model and the resource availability-driven change-delay model, to reveal the complex dynamics of lamprey populations. Through an exhaustive analysis of relevant literature dealing with lamprey populations, resource availability, sex ratios, and their ecological impacts, the study finds that manipulating lamprey sex ratios can have far-reaching effects on the broader ecosystem. Such alterations can affect resource availability, predator-prey dynamics, and overall ecosystem stability. While sex ratio imbalance may disrupt population structure, the presence of variable sex ratios in lamprey populations may provide an advantage to other organisms (especially parasitoids) by increasing host availability. Combining modeling approaches such as continuous time-stage structural models and models of delayed resource availability-driven change can help predict and understand lamprey population dynamics and their ecological impacts. This study emphasizes the urgent need to develop integrated management strategies that take into account the intricate interactions between lampreys, local environments and ecosystems.
Dual-channel Strategy Selection in Multinational Supply Chain in E-Commerce
Authors: Zhu Haoran
Published: August 2024

With the globalization of the economy and the rise of e-commerce, cross-border transactions have become increasingly prevalent, enabling consumers to access high-quality products from brands worldwide, and brands to open new market overseas. In order to examine the overseas market development strategy of domestic manufacturers on the basis of traditional retail, this paper applies game theory to establish two dual-channel models including a domestic manufacturer and an e-retailing platform, and analyzes the channel selection of the manufacturer based on analytical deduction as well as numerical calculations. According to the analysis, though the introduction of dual-channel can alleviate the double marginalization in the multinational supply chain, the Nash equilibrium only exists in the scenario where the domestic manufacturer chooses the agency sales channel, due to the profit compensation of commission. Overall, these results shed light on the operation of multinational supply chain and bring some valuable insights on overseas market development in the era of e-commerce.
The Bank Conducts Credit Evaluation on Credit Holders
Authors: Zeng Ye
Published: August 2024

The study started with data preprocessing, identifying and removing 88 potential outliers in contact duration based on the 3σ rule. Descriptive stats showed a customer base primarily aged 30-50 with a low median deposit balance (440), brief (4-minute) calls, and infrequent interactions.     Graphical analysis via bar and pie charts illuminated key demographics: managerial and blue-collar workers dominated, most customers were married, had a low default rate, and approximately 15.3% had active loans. Most customers didn't use deposit products (89.4%). Scatter plots revealed significant correlations among continuous variables, with 'duration' having a moderate positive link to the dependent variable. Multivariate categorical variables underwent variance tests and multiple comparisons, revealing differences in deposit subscriptions by occupation and education levels.     Binary categorical variables were assessed using T-tests. Logistic regression models were trained on five randomly divided subsets, leveraging SMOTE due to class imbalance. The model performed well (accuracy 0.8935, F1 score 0.7107), yet lower recall suggested scope for improvement.     The study furnishes insights into customer behavior and proposes avenues for refining credit risk assessment in banking.
Research on Influencing Factors of Domestic Tourism Revenue based on Multiple Linear Regression Analysis
Authors: Yan Zining , Zhou Hongbo
Published: August 2024

The purpose of this paper is to explore the factors that have an impact on the domestic tourism industry in the process of economic development. This paper uses the statistical analysis method of multiple linear regression to analyze the specific situation of tourism from 1994 to 2022, and the statistical method of multiple linear regression aims to analyze the impact of disposable income, GDP, transportation development level, environmental resources, basic city construction and other factors on tourism development. In order to further ensure the reliability of the conclusions, the per capita disposable income of four regions in the eastern, western, central and northeastern regions was obtained through linear regression from different regions to specific cities, and the per capita disposable income and per capita consumption expenditure of urban residents in each region from 2015 to 2021 were counted. In the end, it was concluded that the discretionary point in the eastern region was much higher than the average compared to other regions, but it did not have a significant impact on the total tourism expenditure.
Assessing Real Estate Market Dynamics in Hangzhou: A Principal Component Analysis of Bubble Indicators and Policy Implications
Authors: Zhou Xinyi
Published: August 2024

Real estate is the leading industry in our national economy and has a degree of correlation with other industries; its healthy and stable development is of great significance to economic development, the adjustment of industrial structure, and the improvement of people’s living standards. But after2004 the Chinese real estate market appeared to be overheating; prices rose too fast, rigid market demand-supply shortage and the invalid supply excess frequent contradictions, the local government became heavily dependent on land finance, the vacancy rate remained stubbornly real estate development overheating problems emerged in endless, causing the attention of the society and the government. The collapse of the real estate bubble will cause a fatal blow to the development of our country’s economy. Research on the real estate bubble will help us adjust the overall economic operation better. In order to accurately grasp the possibility of the existence of the bubble in Hangzhou City, we need to establish the corresponding indicators. This article is divided into four parts. The first part describes the real estate bubble concept and method of measurement. The second part mainly analyzes the real estate bubble generation mechanism of five indicators. Then, a bubble generation mechanism analysis was conducted; the third part was selected from 2001 to 2015, and the Hangzhou bubble appraised five indicators. Then, a comprehensive analysis of the real estate in Hangzhou City by using the method of principal component analysis; the fourth part is this article from the land, finance and government management on the future direction of development of the real estate market of Hangzhou proposed.
Local Analysis of Flooding in Jianghua County, Yongzhou City Based on Remote Sensing Data
Authors: Hua Zhijun
Published: August 2024

Floods are one of the common natural disasters. Due to the accumulation and growth of water levels caused by natural and artificial factors, floods often cause damage to farmland and construction land and casualties. Currently, remote sensing is developing rapidly and has strong advantages in dynamic monitoring of flood disasters. This article selects the microwave data of Sentinel-1 SAR, combined with the land cover type and population data of ESA and JRC, to conduct change detection and disaster analysis and assessment of the flood that occurred in Qingtang Zhuang Nationality Town, Jianghua County, Yongzhou City, Hunan Province, China in June 2022. This study detected the range of obvious flood changes in the study area by analyzing different image data, and provided an initial assessment of the potential impact of floods on land types and population. Research results show that floods in Qingtang Zhuang Nationality Town mainly occurred in cultivated land and a small part of forestland areas in the central area, and affected a small proportion of people. The research results provide certain references for regional flood detection and disaster analysis. Further research can combine more data, such as terrain slope, to conduct a more detailed visualization of the affected features.
The Application of Queuing Network in The Warehousing System: A Literature Review
Authors: Fu Baihao
Published: August 2024

This review delves into the application of queuing networks within warehousing systems, highlighting their significance in optimizing operations amidst inherent stochasticity. The paper systematically evaluates existing literature, focusing on methodologies such as open, closed, and semi-open queuing networks. It underscores the necessity for developing more sophisticated analytical algorithms to handle general service time distributions and complex correlations. The review advocates for the integration of realistic distributions and empirical validation to enhance model accuracy. Ultimately, it posits that queuing network models are pivotal for advancing warehousing efficiency and innovation, emphasizing their transformative potential in the logistics sector.
Analysis and Discussion of Stackelberg Competition
Authors: Pan Jingqi
Published: August 2024

As a matter of fact, the Stackelberg competition is the hardest and most common model in Microeconomics. In reality, it still appears anywhere even in recent years, which has been widely implemented in various fields including economic, business, medical industry and so on. For corporations or individual businessman, one has to have some mind about Stackelberg competition in order to have a higher reward in the business area based on game theory. With this in mind, in this article, it mainly describes from a businessman’s perspective in order to make it easier to understand. To be specific, the mathematical descriptions for Stackelberg competition are described and the different situations are compared and analyzed. According to the evaluations, the performances are clear for different conditions. At the same time, the limitations of the model as well as further development are also estimated and discussed. Overall, these results shed light on guiding further exploration of Stackelberg competition analysist.
Interpreting the "Unbundling" of Purchase Restrictions in China's Property Markets from Volume and Price Perspectives
Authors: Lu Yumeng
Published: August 2024

Based on theoretical analysis of the impact of purchase restriction policies on housing prices and transaction volumes in the real estate market, this study empirically explores the actual response of the real estate market following the lifting of such policies. Firstly, it summarizes the development of purchase restriction policies in major cities in China since 2023 through a literature review. Secondly, it selects representative cities as research samples to analyze dynamic changes in housing prices and transaction volumes after policy relaxation. The study finds that while there is no immediate significant impact on housing prices due to purchase restrictions, over time, market demand gradually increases leading to an improvement in housing prices. Additionally, an increase in transaction volume is more evident during the early stages of policy relaxation. Furthermore, this study also predicts future trends for the real estate market. In conclusion, this comprehensive and systematic analysis provides a scientific basis for formulating real estate market policies and holds important theoretical and practical significance for understanding and mastering regulation mechanisms within the real estate market while guiding its healthy development.
Preface: 3rd International Conference on Green Transport, Renewable Energy and Environment (GTREE 2024)
Authors: Michelson Betsy , Zhang Hui
Published: August 2024

The 2024 3rd International Conference on Green Transport, Renewable Energy and Environment (GTREE 2024) was held during May 04-05, 2024 in Luxembourg. The conference aims to bring together leading academic scientists, researchers, and engineers to exchange and share their experience and results on all aspects of green transport, electric vehicle, renewable energy, power engineering, environmental technology, and sustainable development. It also aims to provide the premier interdisciplinary forum for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and solutions adopted. GTREE 2024 constitutes a very important part in a series of international academic events. This conference will bring together researchers from the world and providing them with a high-qualified platform to share their latest studies and inspiring findings.
Conference Organizing Chair
Luxembourg
Characterisation of Shale Gas Reservoirs in the Uralik Formation, Western Margin of the Ordos Basin
Authors: Cui Xin , Wang Ke , Zhang Yanrong
Published: August 2024

The Lower Paleozoic Ordovician at the western margin of the Ordos Basin is rich in natural gas resources, and the results of the gas test show that the mud shale and greywacke sections of the Uralik Formation have good oil and gas shows. Therefore, the study of reservoir characteristics and controlling factors of the Uralik Formation is of great significance for the exploration of natural gas in this formation. Based on the study of reservoir space type and physical characteristics of mud shale and greywacke in the Uralik Formation, this paper further investigates the reservoir control factors. The results show that the reservoir space of the Uralik Formation is mainly developed with cracks, pores and caves. The enrichment of shale gas requires the mud shale to have the dual properties of hydrocarbon production and storage, and the study of reservoir characteristics is to lay the foundation for the next step of enrichment and reservoir formation.
An Analysis of Character Design and Plot in the Taiwan Crime Film “The Pig, The Snake, and The Pigeon”
Authors: Xu Zhouming
Published: August 2024

The film “The Pig, The Snake, and The Pigeon” has gained a huge response in East Asian film circles. This paper examines the characterization and narrative construction of the film. The characterisation and narrative construction of the film incorporate the ritual dogmas of “Tan”, “Chen”, and “Chi” of traditional religious culture in East Asia, and not only that, but the film symbols also that are implied by these dogmas will be used by the film making. The film's metaphorical film symbols will be analysed. This film is an important representative work of Taiwan's realist cinema in recent years. The director presents the struggles and sufferings of the marginal characters in Taiwan's existing society through the realist method of black humour, which to a certain extent unveils the problems and contradictions in the existing society. The film has a profound value for examination and analysis. This paper might offer some lessons for examining realist cinema in Taiwan.
Survey on the Application of Blockchain in Enhancing Mutual Trust in Smart Grid Transactions
Authors: Ma Yuanyuan , Yang Peng , Guo Huijie , Jia Wenli
Published: August 2024

The characteristics of blockchain technology, such as decentralization, traceability, and tamper-proof, are in line with many scenarios in smart grid transactions, and the application of blockchain technology in smart grid power transactions has attracted wide attention. In view of the increasing complexity of smart grid transactions and possible misunderstandings and contradictions or distrust between participants, this paper summarizes and analyzes the application research of blockchain in enhancing mutual trust in smart grid from three aspects: data privacy protection based on blockchain-based data aggregation technology, encryption technology to ensure data security, and smart contract to ensure fair transactions. It provides a valuable reference for the future application of blockchain in the field of smart grid.
Research on the present situation and development of Yantai Marine pasture
Authors: Ren Xiaoman , Zhang Qun
Published: August 2024

Yantai City is in the East coast of China, with rich Marine resources and superior geographical position, is one of the important Marine aquaculture bases in China. This paper discusses the present situation and development trend of Marine pasture in Yantai city. First, this paper analyzes the current situation of Marine pasture in Yantai city. From the status quo, at present, the Marine pastures in Yantai city mainly take seaweed, shellfish and fish as the main breeding varieties. However, with the increase of population and the improvement of living standards, the market demand is also increasing, so the scale and output of ocean farms are also increasing. Then, this paper puts forward some suggestions on the development of ocean pasture in Yantai City. It is suggested that the government departments should strengthen the standardized management and technological innovation of ocean pastures, and encourage enterprises to strengthen brand building and expand marketing channels to improve product quality and market competitiveness. In addition, exchanges and cooperation with Marine ranches at home and abroad should be strengthened to promote the sustainable development of the Marine ranching industry. In short, the Marine ranching industry in Yantai has broad prospects for development, but it also needs the joint efforts of the government and enterprises to solve the current problems and promote the development of the Marine ranching industry in Yantai to achieve a higher quality.
Research on the Relationship between Stock Price and Financial Indicators using Ordinary Least Squares Model
Authors: Yang Yaodeng
Published: August 2024

Understanding the association between stock price and financial indicators is important. After summarizing the directions of previous research, collecting data from Yahoo Finance and the basic information of Inner Mongolia Yili Industrial Group Co., Ltd. in the investor relations module of its official website and exploring the correlation between explanatory variables, this paper uses OLS Model to give an insight into the correlation between stock price and financial indicators. This paper not only confirms independence between each explanatory variable as well as the robustness of the model, but also proves the parsimony of the OLS model and the fitness between the model and the data. Based on the results of this study, it can be inferred that ITO and net asset growth rate are primary determinants of stock prices, while Equity Ratio and the net asset value per share do not make a remarkable effect. In conclusion, studying the relationship between stock price and financial indicators, the paper gains insights into financial markets and can help stakeholders make more informed decisions in the increasingly complex world of finance.
Study on Maize Yield Estimation Based on Unmanned Aerial Vehicle Remote Sensing
Authors: Bao Yitong , Li Meilin , Liu Haoran , Pan Zirui
Published: August 2024

Accurately estimating crop yields is crucial for effective agricultural management, particularly with the continuous development of agricultural technology. However, traditional farmland survey methods are time-consuming and expensive. In recent years, there has been a growing interest in using UAV remote sensing technology for maize yield estimation. This study utilized UAV remote sensing technology and data assimilation methods to estimate maize yields. The study utilized UAV remote sensing to acquire ground remote sensing images and estimate maize yield by inverting the leaf area index (LAI). The WOFOST crop growth model was then employed to simulate the growth process of maize using meteorological data and soil property parameters. Finally, the ensemble Kalman filter (EnKF) method was applied to estimate and predict the growth status of maize based on the observed data and model simulation results. The experimental results indicate that the EnKF method can effectively integrate multi-source data, including UAV remote sensing data, meteorological data, and soil data, with the maize growth model for model state assimilation. As a result, it can accurately estimate the maize growth state and yield. This study provides a scientific basis for maize production management and has significant application value.
Study on Poetic Narrative in the Chinese Poetry Art Film "Kaili Blues"
Authors: Tian Xijie
Published: August 2024

The evolution of Chinese cinema has witnessed the emergence of innovative narrative forms, exemplified by Bi Gan's "Kaili Blues." Released in 2015, this film captivated audiences with its rich poetic imagery and innovative storytelling techniques. This research explores the poetic narrative employed in "Kaili Blues," aiming to elucidate its artistic significance within the context of contemporary Chinese filmmaking. Through a comprehensive analysis of the film's narrative style, visual expression, and emotional resonance, this study delves into how poetic storytelling transcends traditional narrative conventions, blurring the boundaries between dreams and reality. The examination reveals that "Kaili Blues" utilizes a poetic narrative characterized by the attenuation of dramatic conflicts, the portrayal of objective phenomena in life, and the use of metaphorical spatial constructions. Moreover, the study uncovers a distinct difference in the "epic sense" between Chinese poetic narrative and European and former Soviet poetic cinema, highlighting the film's unique contribution to the global cinematic landscape. Ultimately, this research contributes to a deeper understanding of the aesthetic sensibilities of contemporary Chinese cinema and its broader implications for cinematic storytelling worldwide.
Research on Influencing Factors of Video Game Sales using Binary Logistic Regression
Authors: Song Mingze
Published: August 2024

In recent years the game industry welcomed rapid development. As a result, it will be meaningful to figure out what factors influence the sales of games and how they influence them. Based on games from Electronic Arts, this paper intends to use binary logistic regression to analyze the effects of platform, genre, critic score, user score, and rating. The dependent variable is sales in North America. The data is from Kaggle, Metacritic, and the Entertainment Software Ratings Board. According to the regression model, which has an acceptable predicting accuracy of 80.09%, it can be inferred that critic score, platform, and user score represent the significance, while genre and rating don’t show a significant relation with sales. Among the three significant variables, critic score has a positive correlation with sales, while user score has a negative correlation. This means games with high sales usually have high critic scores but do not always have high user scores. As a categorical variable, the platform's significance means different platforms may suit different games in general. By contrast, players do not show a preference for a certain game genre or some intense content.
Research on Structural Financing Difference of Shareholders in Real Estate Industry
Authors: Liu Shuyu
Published: August 2024

This paper takes China Merchants Shekou Industrial Zone Holding Co., LTD., Vanke Enterprise Co., LTD., and Country Garden Holdings Co., Ltd. as examples to explore the financing differences between state-owned enterprises, state-owned equity enterprises and private enterprises. By searching the relevant financial data and credit rating from 2020 to 2022, the advantages and disadvantages of the financing of the three enterprises are analyzed from two aspects financing ability and financing cost. It can be concluded that state-owned enterprises, state-owned equity enterprises and private enterprises in the financing conditions are not the same. State-owned enterprises are more likely to be supported by the government. They have good financial credit and stable development; State-owned equity enterprises will also benefit from government backing; Private enterprises need to bear higher financing costs and corresponding risks, but their strong operating capacity and flexibility allow them to occupy a place in the market. With the twists and turns of real estate enterprises in recent years, enterprises need to constantly improve and standardize market behaviors, carry out diversified financing, actively adapt to the national economic environment, improve their own structure, and formulate strategies conducive to the long-term development of enterprises, to achieve stable development in the industry.
The Impact of Cultural Industry Policies in Beijing on The Construction of New Digital Cultural Consumption Scenarios: An Analysis Based on Smith’s Policy Implementation Process Model
Authors: Xie Yuyang
Published: August 2024

Internationally, governments around the world have recognized that digital cultural consumption has become an indispensable part of the cultural industry and have taken various policy measures to support the development of this field. In China, the 14th Five Year Plan proposed a digital strategy for the cultural industry, and Beijing responded to the national strategy by proposing cultural industry policies. This article uses literature review and interview methods, based on the smith’s policy implementation process model, and takes the "Digital Axis" project as an example to analyze the shortcomings in the policy execution process, such as the lack of supervision in the policy itself, poor coordination among executing agencies across departments, technological limitations in the policy execution environment, and low participation of target groups. constructive suggestions are proposed to address these shortcomings, hoping to achieve sustainable development of digital technology in the cultural industry and realize the digital strategy of the cultural industry.
Research on the Optimization of China's Industrial Structure under the Green Development Strategy
Authors: Ding Ling
Published: August 2024

The new economic structure known as the green economy controls and fosters the relationship and interdependence between the environment and the economy. It is a crucial strategy for modern industrial structure optimization and significantly advances the growth of the national economy. Green economy development has been a major focus of Chinese economic development since the 19th National Congress of the Communist Party of China. As a result, green development and industrial structure are closely related, and both green and economic development are attained simultaneously. In a green context, the consuming mode encompasses not just green products but also green topics such as resource recycling, environmental protection, and efficient energy use, all of which need the construction of a green production mode. This study will examine how well industrial structure optimization performs in various settings, with a particular emphasis on the analysis of the green strategy and industrial structure development process, the factors that influence industrial structure, the effects of green development on industrial structure optimization, and the relevant policy opinions that are put forth regarding the promotion of the green economy to the optimization and upgrading of industrial structure.
Quantitative Assessment of Light Pollution: A Study on Index Construction Based on Entropy Weight and Topsis Methods
Authors: Yang Junyi , Zeng Song , Yang Jiahao , Wu Yutong , Yang Zhengguo
Published: August 2024

In recent years, the awareness of light pollution's hazards has grown. This article aims to develop metrics to assess light pollution, propose intervention strategies, and analyze their effectiveness. Key indicators such as population density, GDP, urban electricity consumption, high-rise buildings, vehicle ownership rate, AOD index, and remote sensing brightness were evaluated. Using entropy weight and Topsis methods, a Light Pollution Index (LPI) was derived. A multivariate regression model provided the regression equation for LPI. K-means++ clustering categorized LPI into five levels, delineating light pollution degrees in different regions. This framework aids urban planning assessments and establishes a comprehensive model for light pollution assessment. Through data analysis and evaluation, the feasibility of light pollution reduction measures was demonstrated.
Comparison and Prospect of Chinese College Admission System and UCAS by Market Design Theory
Authors: Xie Jiayun
Published: August 2024

This essay provides a depth analysis of the evolution of college admission mechanisms in China, focusing on the transition from the traditional 'non-parallel' system to the contemporary 'parallel' approach. It examines the characteristics and implications of both the old Sequential Mechanism and the new parallel mechanism, shedding light on their respective impacts on students and institutions. Furthermore, the essay explores the UCAS (Universities and Colleges Admissions Service) system, offering a comparative analysis between the Chinese admission system and UCAS. By highlighting similarities, differences, advantages, and challenges, it aims to claim the diverse methodologies employed in university admissions worldwide. The essay also emphasizes the importance of adopting a multifaceted approach to enhance the efficacy and fairness of both the Chinese admission system and UCAS. It advocates for the incorporation of more comprehensive methods, increased transparency, and targeted support for disadvantaged students to promote equity and inclusive in college admissions. Moreover, its emphasis the significance of global collaboration and exchange of best practices in shaping a more inclusive and effective higher education landscape.
Research On Water Level Control of The Great Lakes Based on Fuzzy Control Algorithm
Authors: Chen Quan , Li Yisheng , Li Rongkun
Published: August 2024

Water level control plays a vital role in hydraulic engineering, because it helps to protect the environment and improve production efficiency. A well-designed control system is essential for regulating the flow through the sluice, managing water levels effectively, and meeting the diverse needs of stakeholders. Additionally, such a system must be capable of responding promptly to extreme weather events, such as floods, in order to minimize the risk of flood disasters. In order to realize the precise regulation of water level, a robust and flexible water level control system is constructed by using fuzzy control algorithm. This approach offers strong adaptability and resilience in varying conditions.
Research on UAV Remote Sensing in River Monitoring
Authors: Li Jiayin , Xu Houde
Published: August 2024

The scarcity and pollution of water resources pose significant constraints on both the economic development of a region and the well-being of its inhabitants. Effective monitoring of the water environment is crucial in addressing these issues. Currently, traditional methods for river water quality supervision, such as manual sampling and laboratory analysis, are inefficient and unable to provide real-time data. This paper explored the potential of Unmanned Aerial Vehicle (UAV) remote sensing technology in periodic monitoring of rivers, emergency monitoring of flood disasters, and monitoring of suspended sediment of water. The results show that: (1) UAV-carried sensors allow for the acquisition of high-resolution image data, enabling comprehensive monitoring of rivers throughout the entire cycle. This enhances our understanding of river dynamics and facilitates effective watershed management. (2) In terms of emergency disaster monitoring, UAVs offer rapid response and real-time data transmission capabilities. It provides timely information on riverine hazards, enabling quick response and mitigation measures. In addition, UAV-based monitoring is cost-effective and ensures the safety of operators. (3) UAV remote sensing can estimate and track the concentration of pollutants in rivers, enabling the assessment of pollution levels within watersheds. This information serves as a valuable resource for environmental protection efforts and the development of appropriate mitigation strategies.
The Role and Challenges of Public Policy in Resolving International Conflicts
Authors: Xu Shenchao
Published: August 2024

In the context of globalization, the connections between countries are increasingly close, and international conflicts display characteristics of complexity and variability. Due to the deepening development of globalization, intertwined factors such as national interests, cultural differences, and competition for resources have led to increasingly complex situations and content in international conflicts. Such prominence directly threatens the security and stability of nations, as well as poses threats to the global order and people's lives. In the management of national and societal affairs, public policy serves as an important tool and plays a significant role in resolving international conflicts. Based on actual development, the formulation and implementation of reasonable public policies provide frameworks and mechanisms for international cooperation and necessary resource support for conflict resolution. However, influenced by objective factors, public policy faces numerous challenges in resolving international conflicts. This paper will delve into the roles and challenges of public policy in resolving international conflicts and propose corresponding strategies to provide useful references for resolving such conflicts.
The Impact of Pension Insurance on The Mental Health of Elderly Populations--A Comparative Study of Urban and Rural Areas
Authors: Zhu Yanxin
Published: August 2024

With the rapid development of China's economy and social changes, mental health has become an important public health problem and a prominent social problem. This paper focuses on the influencing factors of pension insurance on the mental health of the elderly. Using the data of CHARLS 2020, a multiple regression model with interactive effects is constructed, and a conclusion is drawn that the positive impact of pension insurance on the mental health of the elderly is more obvious in rural areas, and this impact may be achieved through improving diet and socialization.
The Impact of the Development of Digital Finance on the Risk of Corporate Debt Financing
Authors: Wu Shuangjun
Published: August 2024

This investigation evaluates the association between the evolution of digital finance and the risk associated with corporate debt financing among Chinese A-share listed companies from 2012 to 2022. The research identifies a significant reduction in debt financing costs as a consequence of advancements in digital finance, although these benefits are not uniformly distributed geographically. The study provides a nuanced perspective on how digital finance development can be strategically leveraged to alleviate financing issues faced by SMEs. Highlighting the influence of regional economic disparities, the paper offers actionable insights for policymakers and stakeholders in the digital finance ecosystem, advocating for the enhancement of digital finance as a catalyst for economic development and SME support.
Research on Copyrightability of Artificial Intelligence Generators
Authors: Wang Xinxu
Published: August 2024

In recent years, the continuous development of artificial intelligence has brought convenience to people's lives but has also given rise to a series of problems. Among these, the gaps in laws related to artificial intelligence has sparked significant controversy, particularly with regard to copyright protection of artificial intelligence products, which has become a focal point of debate in theoretical and practical circles. Some scholars advocate for the protection of artificial intelligence products through copyright, while others argue against it. Based on this, the typical cases have been sorted out and analyzed, relevant provisions of copyright law have been studied, and the issue of the copyright for artificial intelligence products has been explored from both practical and theoretical perspectives. Additionally, in combined with scholars' viewpoints, the copyrightability of artificial intelligence-generated material is examined from the aspects of originality and intellectual achievement. The purpose of establishing the copyrightability of such material is to align with the development trend of the times and, simultaneously, to promote the enhancement of China's copyright legal system in order to foster cultural prosperity and development.
Research on the Transformation and Development Strategies of the Financial Industry in the Digital Economy Era from the Perspective of Innovation Theory
Authors: Lin Juntong
Published: August 2024

Due to the extensive use of digital technologies across numerous industries, the socio-economy have entered the digital economy era, bringing new challenges and opportunities for development in all sectors. The financial industry, being a vital part of the national economy, is facing immense pressure for digital transformation. How to seize the opportunities brought by the digital economy and achieve sustainable development through digital transformation is a crucial issue facing financial institutions. Based on the review of relevant theories and current studies concerning the digital economy, it employs methods such as literature research, survey research, and comparative analysis to research how the financial sector is affected by the digital economy and evaluate the opportunities and challenges the sector is facing in this new digital economy age. On this basis, focusing on the perspective of innovation theory, it proposes innovative strategies to drive the digital transformation of the financial industry, provide specific measures from five aspects: technological innovation, product innovation, service innovation, channel innovation, and innovation of organizational mechanism and support. This research provides strong guidance for the development of the financial sector and its digital transformation in the era of the digital economy.
Classification Prediction of Underwater Navigation Fitness Zones Based on BP Neural Network Modeling
Authors: Zhao Zichen , Gu Zhaojun , Gao Shang
Published: August 2024

In order to realize high-precision underwater navigation, it is necessary to establish a classification prediction model of the fitness area to realize the fitness assessment of different sea areas. The data are finely gridded, and the variance of the gravity anomalies at the four vertices of the gridded area is calculated as the classification feature to measure the significant degree of change of the gravity anomalies in the area, and the C-mean cluster analysis is applied to cluster the classification feature values, and all the areas are calibrated into seven fitness classes. And the visualization was carried out. Applying the BP neural network model, the latitude, latitude and corresponding gravity anomalies of the data were used as inputs, and the calibrated grades were used as the results, and the final fitting effect of the trained model was basically in line with the expected values. And the model is applied to the prediction of fitness zone classification in other sea areas, comparing the predicted value with the real value, through the visualization analysis and the error analysis of the model, the predicted fitness calibration result has a smaller error with the actual value, and the fitness grade distribution map of the predicted value and the actual value has an obvious consistency, so that the established BP neural network model has applicability for the classification of fitness zones for underwater navigation in different regions.