bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantifying and Predicting Tennis Match Momentum: An LGBM-Based Analysis and Visualization Model
Authors: Li Zhenrui , Zhang Qisheng , Wang Yixiao
Published: June 2024

In any competitive games, the most exciting thing for the audience is the change of the scores of both players, and quantifying the trend of the scores of both players can help coaches provide timely guidance to the players during the games and also help the players in the preparation for the games. The author firstly obtains the data of the players' psychological state, physical reserve and athletic skills during the game, and then compares the LGBM, SVC, MLP and LR models, analyzes the accuracy and regression rate of each model, and then selects the optimal LGBM model, and then calculates the weights of each parameter through the selected model, and sums them up to obtain the quantitative value of "momentum". Finally, the fluctuating images of the two sides' "momentum" in the whole game are drawn, through which the scoring trend can be visualized and the turning points of the momentum can be marked. The use of such methods is a kind of innovation for sports events, which can scientifically help coaches to make decisions, and can bring more exciting sports events to the audience to fully reflect the athletes' style.
The Time-Varying Relationship Between Economic Policy Uncertainty and Returns of New Energy Stocks
Authors: Peng Jie
Published: June 2024

With the increasing global emphasis on environmental protection, green development has become an important part of high-quality development in various countries and has stirred up enthusiasm for new energy consumption and investment. This paper uses a TVP-VAR model to analyze the dynamic effects between Chinese economic policy uncertainty, international crude oil prices, Guangdong carbon prices, and the CSI New Energy Index from July 2015 to November 2023. It turns out that they are closely linked in the short term, with obvious time-varying features in direction and magnitude. The effects of economic policy uncertainty are more persistent when extreme events occur. Finally, based on the research results, some constructive suggestions are proposed, such as establishing a risk early warning mechanism among them, improving the market system, enhancing regulatory capabilities, and promoting the development of green finance.
Do housing prices decrease when interest rates go up? Housing prices and interest rates: understanding the positive correlation across five countries
Authors: Stahlecker Sissi
Published: June 2024

This paper investigates the relationship between changes in interest rate and house prices from the period 1975 to 2023 in five countries: United States, United Kingdom, China, Germany and Indonesia. Results show that contrary to the paradigm of real estate pricing, housing prices increase with interest rates. Furthermore we find that changes in house prices are independent of monetary policies and interest rate changes set by the central bank. Economically developed nations exhibit a stronger correlation between the two variables. We demonstrate that this is due to the 2008 financial crisis, where houses fell by nearly 30%, creating a fear of recession and the resulting policy of low interest rates to encourage investment.
Optimization Study of Laundry Cleaning Based on K-means Clustering and Simulated Annealing Algorithm
Authors: Zhang Ye , Ma Zhike
Published: June 2024

Laundry is something people do every day, clothing cleaning effect and cleaning time, the number of times of cleaning, the amount of clothing detergent, water consumption and power consumption and other factors are closely related, whether in the daily cleaning, or the organization's business process, the choice of cleaning methods and the control of the cleaning cost are crucial. In order to find the optimal cleaning method, as well as the best cleaning solution, this paper carries out a study on laundry cleaning optimization based on nonlinear programming. Firstly, a cleaning method optimization method based on dynamic programming is proposed to get the optimal solution about the number of washing times and the amount of water used in each washing, and then, a cleaning cost optimization method based on simulated annealing is proposed to get the optimal cleaning solution that saves cost and has excellent cleaning effect. In this paper, ten different detergents are used to conduct experimental analysis on 36 pieces of clothing containing eight pollutants.
Research on Risk Management under Supply Chain Cooperation
Authors: Wang Fan
Published: June 2024

With the increase in economic globalization and complexity, supply chain cooperation plays a crucial role in modern business and enterprise development, being a key aspect of contemporary enterprise operation. However, the complexity of the supply chain system poses numerous uncertainties and risk challenges to its management. Therefore, this paper aims to analyze and discuss supply chain cooperation networks and their risk management, providing practical methods and guidance for enterprises to safeguard the robustness and resilience of supply chain cooperation in today's competitive society.
The Challenges and Responses Faced by Digital Legal Education in the Era of Big Data
Authors: Zhao Yanhong , Zhang Lin , Hu Lingyun
Published: June 2024

With the development of new science and technology, modern society has entered the digital age. Law is facing challenges in the fields of legal theory, practice, and law. Modern legal education is facing a transformation towards digital legal education, which is a requirement for the construction of new liberal arts and new digital law. Building digital law requires shaping correct digital values, big data thinking, and integration with new engineering disciplines. Deep innovation and transformation should be carried out from the aspects of training objectives, curriculum system, and practical teaching, continuously exploring ways to build a digital law discipline in the era of big data, and cultivating composite talents who master law and new technology.
Study on the pricing and replenishment of vegetable commodities based on the optimization model
Authors: Yin Yongqiang , Kong Xuening , Cao Runqi
Published: June 2024

Based on the problems of short shelf life, inventory control and pricing management, marketing, economics, operation research, and the control optimal theory, this paper establishes the regression prediction analysis model; establish the optimization model, formulate the total amount of daily replenishment; analyze the deficiencies of the model. Finally, the combination of the research results gives the replenishment and pricing decision to improve the revenue of the supermarket. In this study, the correlation degree between the two variables of each vegetable category and the single product sales volume was measured, and the time series analysis was used to identify the sales trend. Then according to the correlation analysis of descriptive statistics, using cosine similarity formula, analyze the data units, the total sales dimension normalization, using the method of standardize the correlation between item and category, using pearson correlation coefficient and Spearman correlation coefficient to study the relationship between category and sales, establish Spearman correlation coefficient to determine the final correlation coefficient, cluster analysis of each category, analysis of the correlation. By processing the relevant data, establish the ARIMA time series model, forecast on July 1,2023-July 7, the relevant data, using the adftest function time series stability test, fit the ARIMA time series model, using differential sequence to time series analysis, calculate vegetable sales and sales price of elastic demand function, finally find the optimal solution through the particle swarm algorithm.
Research on the Construction and Practice of the Virtual Teaching and Research Department of New Business
Authors: Ge Hongxiang
Published: June 2024

With the rapid development of information technology, virtual teaching and research department has gradually attracted attention in the field of business education as a new teaching mode. This paper studies the construction and practice of virtual teaching and research departments in business education, and discusses its role and significance in the development of new business education. The virtual department provides a new teaching model and platform for business education. Through the virtual department, students can easily access a variety of learning resources, conduct online learning and communication, and improve the efficiency and quality of learning. The virtual department plays an important role and significance in the development of new business education, and plays an important role in promoting the innovation and development of business education. It is hoped that the research in this paper can provide an effective reference for the construction of new business virtual teaching and research departments, and provide inspiration for promoting the development of business education and the cultivation of talents.
Study on the Trade Effects of China’s FDI in ASEAN Countries under the RCEP Framework
Authors: Li Yuetong , Ge Lanqi , Xu Yue
Published: June 2024

As a developing country with the world’s highest foreign direct investment, China’s FDI to ASEAN will have an impact on trade between the two countries, helping to clarify the mechanism for China-ASEAN economic and trade cooperation and exploring ways to strengthen China-ASEAN economic and trade cooperation. Thus, using panel data from 2012 to 2020, this paper investigates the impact of FDI between China and ASEAN on trade volume. The findings indicate that China's direct investment in ASEAN has a significant negative impact on trade scale, specifically the trade substitution effect. Under the RCEP framework, the importance of ASEAN's position in China's foreign economic and trade cooperation network has become increasingly prominent. On this basis, it puts forward policy suggestions such as training corresponding talents, deepening structural adjustment, strengthening government guidance, and expanding correct cognition.
Trends and Challenges in the Teaching of Ideological and Political Courses in the Era of Digital Transformation: A Case Study of the "Ideology, Morality, and the Rule of Law" Course
Authors: Wang Rongrong
Published: June 2024

In an era where digital technologies are transforming societal productivity and the 20th National Congress of the CPC discusses the "advancement of education digitalization", the integration of ideological and political education (IPE) with digitalization represents the future path for IPE teaching in universities. Under the external push of digital technologies, endogenous changes in ideological and political education occur through the use of digital IPE resources, channels, and modes to enhance the vitality of IPE classrooms. However, in the implementation of digital IPE teaching reforms, challenges persist in ideological leadership, digital infrastructure, and educational philosophy.
Research on Pricing and Replenishment of Vegetables Based on Grey Relational Model and Seasonal Index Prediction Model
Authors: Li Keyu
Published: June 2024

This article mainly studies the problem of automatic pricing and replenishment decisions for vegetable products in supermarkets. A grey correlation model and ARIMA time series model are comprehensively established, and based on clustering analysis and regression analysis methods, the distribution patterns of sales volume for each vegetable category and item over time, as well as the relationship with cost plus pricing and mutual correlation, are analyzed to make reasonable predictions for future sales volume. In order to make decisions on product pricing, sales combination, and replenishment, and maximize supermarket profits, the data is preprocessed through normal test and quartile method. Through screening and sorting analysis, the distribution patterns of sales volume for each vegetable category and item over time are obtained; In order to analyze the relationship between different categories of vegetables and between different single products, a grey correlation model is established to determine the analysis sequence, and the correlation coefficients between each category and each single product are calculated to analyze the mutual relationship. And combined with the hierarchical clustering analysis method, the vegetable categories were divided into three sales types: high, medium, and low, expanding the relationship between categories. At the same time, a periodic chart was drawn to determine the periodicity of sales volume distribution in each category. Then, statistical analysis was conducted on the data to determine the linear correlation between sales volume and cost plus pricing. Based on this, a linear regression model was established to analyze the linear relationship between sales volume and cost plus pricing for the six categories; In order to provide the total daily replenishment amount and pricing strategy for the next week, this article establishes a seasonal index prediction model for sales forecasting. Combining the seasonal distribution of each category, the seasonal index is used to predict the sales volume for the next week. Considering the goal of maximizing profits, the target function is listed to comprehensively analyze the replenishment and pricing strategy for the next week.
Does Housing Inequality Affect Residents' Social Status Perceptions? Evidence from CGSS in China
Authors: Mo Erhang , Wu Lijun
Published: June 2024

This paper measures housing inequality from two dimensions: housing quantity and living space. Using CGSS data and an ordered probit model, it empirically examines the causal relationship between housing inequality and residents' subjective social status. The research indicates that housing inequality significantly influences residents' social status perception. The greater the quantity of housing and the larger the living space, the higher the residents' subjective social status. This conclusion remains robust after conducting sensitivity tests. Mechanistic analyses show that the wealth effect is the transmission pathway through which housing inequality affects individuals' social status perceptions. Heterogeneity analyses showed that housing inequality significantly exacerbated social stratification, which was particularly evident in age. Further analysis reveals that housing assets not only have significant impacts on the present but also serve as a key factor in enhancing intergenerational mobility in the future. This study explains the drivers of residents' social status perceptions from the perspective of housing inequality, and provides empirical evidence and policy insights for China to improve the long-term mechanism of real estate, and to prevent the risk of social status perceptions divergence due to housing allocation.
A Novel Multi-Stage Recognition System in Handwritten Chinese Characters
Authors: Wang Lingxin
Published: June 2024

Due to the various individual handwriting styles and diverse structures of Chinese characters, it is rather intricate to recognize handwritten Chinese characters precisely. In this paper, a muti-stage system that combines a Differentiable Binarization Network (DBNet) for text detection and Scene Text Recognition with a Single Visual Model (SVTR) for effective character recognition is developed, aiming to offer a potential solution for correct identification of handwritten Chinese characters in real-world scenarios. More specifically, the proposed system utilized the CASIA-HWDB2.x dataset from the Institute of Automation of the Chinese Academy of Sciences to train text detection and recognition models. For the detection, the Differentiable Binarization method in the Head Network applies a dynamic threshold map for text-background differentiation. On top of the SVTR employed as a recognition module, this research proposed a performance-optimized PP-LCNet architecture and the Guided Training of Continuous Time-Series Classifiers (GTC) with TextConAug, which is a data augmentation strategy to accommodate real-world scenarios. Briefly, DBNet and SVTR are integrated to form an end-to-end system. The output of DBNet after undergoing cropping and direction classifier, guides SVTR for a comprehensive system, ensuring seamless detection and recognition of handwritten Chinese characters. Experimental results indicate that this system achieves a promising performance and can provide accurate information on handwritten Chinese characters.
Analysis of Influencing Factors of Residents' Happiness in Smart Cities based on Principal Component Analysis
Authors: Tian Jingkun
Published: June 2024

This paper analyzes the factors affecting the happiness of smart city residents, uses principal component analysis method and random forest method, and uses SPSS, SPSSPRO and other software to analyze and process the data. First, it establishes the evaluation index of the happiness of smart city residents, and then evaluates the measures that can improve the happiness of residents in the construction of smart city. Finally, reasonable development suggestions for the construction of smart cities are put forward through forecasting and processing. Research background and theoretical literature. Find out the relevant theoretical basis, and finally determine the reasonable research method. The index of resident happiness is designed from the perspective of smart economic happiness, smart political happiness, smart public service happiness, smart security management happiness, and smart ecological environment happiness, and is used as the index factor of principal component analysis. The model of influencing urban residents' happiness under smart city. According to the resident data, the principal component analysis method is constructed, and then the random forest model is used to test, and finally the weight of the influencing factors of residents' happiness under the smart city is obtained.
Energy saving and emission reduction technologies integrating energy power and mechanical engineering
Authors: Han Mengqi
Published: June 2024

This paper discusses the importance and application prospect of energy-saving and emission-reduction technology combining energy, power and mechanical engineering in the current energy and environment fields. Firstly, the concept of integration of energy power and mechanical engineering and its significance in energy saving and emission reduction are introduced, and the important role of this technology in realizing sustainable development and meeting the challenge of climate change is emphatically expounded. Subsequently, the application practice of this technology in industrial production, construction, transportation and other fields is analyzed, and its remarkable effects in energy saving and emission reduction are summarized. This paper further discusses the important role of technological innovation and policy support in promoting the development of this technology, and emphasizes the importance of interdisciplinary cooperation and exchange in the process of technology popularization and application. Finally, the future research direction and development trend are prospected, and all parties are called upon to make joint efforts to promote the energy-saving and emission-reduction technology integrating energy, power and mechanical engineering to be more widely applied and popularized around the world, so as to contribute to building a clean, low-carbon and sustainable energy future.
Study on Floating Motion Characteristics and Stability of Unpowered Underwater Carrier (UUC)
Authors: Xiao Qianjin , Chen Wei , Wei Wei , Cao Heyun , Hu Xu
Published: June 2024

The water-exit velocity and attitude of UUC are crucial for underwater launching aircraft-like payloads. To ensure that the design of the UUC is reasonable, the investigation on motion characteristics and stability of the UUC in vertical floating process are carried out. Firstly, a computational model of the UUC has been established. Then, a combination method of theoretical calculations and CFD simulations has been used to study the relationship between model parameters and hydrodynamics parameters. Finally, stability analysis has been conducted for initial heading angle of 3° and 6°. The results show that increasing the net buoyancy can allow the UUC to obtain a larger water-exit velocity, while to reduce accelerated time and distance. The designed UUC can achieve stably convergence under the disturbance of initial heading angle, indicating that the UUC has a good motion stability in vertical rising process.
Marketing Strategies for Luxury Brands in the Chinese Market: Based on the Evolution of Consumer
Authors: Sun Yulou
Published: June 2024

This paper explores the development and evolution of luxury brand marketing strategies in the Chinese market from 1992 to the present through a diachronic analysis. It divides the development of China's luxury market into four phases: the initial entry period, the golden development period, the localization period, and the global leadership period. This paper explores the evolution of consumer psychology by analyzing consumers' views on luxury goods and the meaning of luxury consumption to consumers in different periods. Based on this, this paper delves into how the marketing strategies of luxury brands in China have changed in response to the changes in consumer psychology, and explores the dual relationship between the marketing strategies of luxury brands and the psychology of consumers from a macro-historical perspective. The paper has found that Chinese traditional culture and Western values have jointly shaped consumer behavior, reflected in the pursuit of social value and individual expression through luxury goods. Luxury brands, on the other hand, continue to inject fresh impetus into their growth in the Chinese market through constant localization, digitalization, and youthful marketing strategies.
Prediction Model of E-commerce Users' Purchase Behavior Based on Deep Learning
Authors: Liu Ziqi
Published: June 2024

This study mainly uses Deep Learning (DL) technology to build a prediction model of e-commerce users' purchasing behavior, and evaluates its application effect on actual e-commerce data. Methodologically, Recurrent Neural Network (RNN) is used to capture the temporal dependence of user behavior, and the performance of the model is improved through detailed data preprocessing and feature engineering. The research results show that the DL model based on RNN has achieved remarkable advantages in predicting the purchase behavior of e-commerce users. Compared with other methods, RNN model can capture the temporal dependence of user behavior more accurately, thus improving the prediction accuracy. This advantage is especially obvious when dealing with complex and dynamic user behavior data. It provides new ideas and methods for accurate marketing and personalized service of e-commerce industry.
Research on Classification and Identification of Glass Relics Based on Pearson Clustering and Machine Learning Models
Authors: Gewen Lei , Zijun Wu , Mengze Si
Published: June 2024

Ancient glass is very susceptible to weathering due to the influence of buried environments. In order to classify and identify glass artifacts, this article uses the Pearson cluster analysis model to classify them into four types of high potassium and three types of lead and barium. The chemical cost composition of the classification types is determined, and then the composition of each chemical component is accumulated and arranged. The proportion of each type's content is used as the basis for subclassing. Finally, multiple machine learning methods were used to identify unknown types of glass artifacts, and the results showed that the accuracy of the support vector machine model reached 100%, with a relative improvement of 2% -11%. Therefore, the support vector machine model was considered for classification.
The Influence of Emerging Sports on The Wellness Dimensions of The Public Middle School Students in China
Authors: Li Wenwu , Dr. Lorna Espeso
Published: June 2024

The physical quality of our citizens is declining, especially among primary and secondary school students. The decline is particularly serious. This study aims to explore the level of influence of emerging sports on the Wellness dimensions of middle school students in selected middle schools in China. Emerging sports refer to sports that are relatively popular internationally, have recently been launched domestically or are newly created domestically, are popular among teenagers and are suitable for schools, such as rock climbing, roller skating, orienteering and wilderness survival, etc. This study preliminarily draws the above hypothesis based on a review of previous studies. Ho1: There is no significant difference in the influence of the emerging sports on the physical wellness dimension of the student-respondents when their profile is taken as test factor. Ho2: There is no significant difference in the influence of the emerging sports on the emotional wellness dimension of the student-respondents when their profile is taken as test factor. Ho3: There is no significant difference in the influence of the emerging sports on the mental wellness dimension of the student-respondents when their profile is taken as test factor. Ho4: There is no significant difference in the influence of the emerging sports on the social wellness dimension of the student-respondents when their profile is taken as test factor. Ho5: There is no significant relationship in the influence of the emerging sports on the physical, emotional, mental and social wellness dimension of the student-respondents when their profile is taken as test factor.
Research on Financing Efficiency of Intelligent Manufacturing Enterprises in China --Empirical analysis based on DEA-Malmquist modeling
Authors: He Nina , Zhao Hongxin
Published: June 2024

Smart manufacturing is leading the way in the development of manufacturing quality in China. Based on the DEA-Malmquist model, this paper analyses the financing efficiency of 88 listed smart manufacturing enterprises in China from 2017 to 2021.The results of DEA static analysis show that: in terms of industry types, the comprehensive technical efficiency of the light textile industry is the highest, the resource processing industry has serious internal polarisation, and the machinery and electronic manufacturing industries are mainly affected by pure technical efficiency. Malmquist dynamic analysis shows that: the average total factor productivity index of listed enterprises in intelligent manufacturing is 0.9835, of which, the change value of pure technical efficiency leads to the annual average financing efficiency. The value of efficiency change leads to an average annual decline of 1.65% in financing efficiency. Therefore, the financing efficiency of Chinese intelligent manufacturing enterprises can be improved from the dimensions of improving the bond financing support system and constructing advanced manufacturing innovation system.
Preparation and Application Progress of MOFs
Authors: Yang Rui
Published: June 2024

The everyday needs of humanity can no longer be met by traditional materials due to advancements in science and technology. These days, the main objective is to produce materials with increased usefulness, superior performance, and recyclability. Because of their high specific surface area and porosity, easily functionalizable pore structure, and customizable pore structure, metal-organic skeletons (MOFs) represent a novel class of porous materials with a wide variety of applications in the energy, environment, and biomedical sectors. Therefore, this paper summaries the latest research progress in the study of MOFs. Firstly, the paper introduces the basic features of MOFs, including metal centers and organic ligands, and discusses the tunability of these modules for the geometrical and chemical properties of MOFs. Then, the main synthetic methods of MOFs are summarized, including solvothermal synthesis, electrochemical synthesis, and microbiome-assisted synthesis. Finally, the paper also highlights the applications of MOFs in gas storage/separation, biomedicine, and environmental protection. It aims to provide some reference significance for the future development direction of MOFs.
Functional Bayesian Model Average Regression Based on Derivative Information
Authors: Wang Zibing
Published: June 2024

Functional data regression models based on basis function expansion have been widely used in economic, financial, and environmental fields. However, determining the appropriate type and quantity of basis functions, such as KL expansion and B-spline, has remained a challenge to overcome. Additionally, when two curves are similar, constructing an effective regression model can prove to be difficult. On top of that, this paper suggests a functional Bayesian model average regression model, which is based on the KL expansion of the derivative function. On the one hand, the method uses the first and second-order derivative function information as predictors to capture the curve's fluctuation trend more comprehensively. On the other hand, the method applies model averaging to dynamically determine the appropriate number of basis functions to use, which can effectively alleviate the overfitting and underfitting problems of the model. The experiments and corresponding data analysis demonstrate that the proposed method has higher prediction accuracy and robustness than the comparative methods.
Multibeam Line Design Based on Geometric Analysis
Authors: Liao Qin , Xiao Hong , Xiao Guijie
Published: June 2024

Multibeam bathymetry is a bathymetry technique of wide sector propagation and strip coverage by simultaneously transmitting and simultaneously receiving multiple beams. This paper mainly focuses on the problem of multibeam transmitting, combines theoretical proofs and data laws, respectively conducts qualitative analysis and quantitative analysis of the survey line layout scheme, and concludes that in the case of the shortest total length of the survey line, all the survey lines are straight lines parallel to each other, and the angle of the direction of the survey line is 90°, and the coverage rate between any neighboring strips is 10%. The total length of survey lines is modeled by geometric analysis, and the optimal survey line deployment scheme contains 34 survey lines, with a total length of 125936 m. The optimal survey line deployment scheme is based on the model of the total length of survey lines.
Risk Measurement, Analysis, and Prediction Methods for Online Financial Services
Authors: Yang Liu
Published: June 2024

The analysis and research on the risk of online financial business is divided into four main areas; the construction of metrics, analysis and modeling, risk prediction, and risk monitoring and control. It mainly uses high-frequency data to update the dynamic factor model, converts the results to low-frequency data to derive the systematic risk indicators; based on the Markov interval transformation model, the unpredictable and uncertain mechanisms are used as stochastic variables to identify the characteristics of the risk changes to cope with the Internet financial risks. The study concludes that the Internet financial risk has a certain trend and periodicity, and the presented market is relatively stable; due to the close connection between Internet finance and traditional financial industry, the resonance effect can bring certain risk to the whole financial market, and it is still necessary to pay attention to the changing risk factors and take corresponding risk management measures.
A Study of the Impact of Human Capital Investment on Organizational Performance
Authors: Bai Yunmeng
Published: June 2024

Human capital investment is a process in which a company, after obtaining external resources, learns and develops the knowledge, skills, abilities and attitudes of its members, thus enhancing the company's core competitiveness and sustainable development capability and ultimately improving organizational performance. Employee quality is an important part of human capital investment, but the effect of human capital investment on performance improvement is affected by the low level of internal management. The article researches the relationship between human capital investment and enterprise performance,and puts forward corresponding suggestions on the quality of employees and performance improvement.
MiHoYo Case Study--Taking Development of Genshin Impact
Authors: Bi Jingwei , Hu Shuyuan , Lin Zixi , Ying Zhangyang
Published: June 2024

Game is a modern new art, as a global characteristic cultural language and a new type of cultural carrier. Cultural export is an important strategy aimed at strengthening a country's image, attracting international attention, and promoting cultural exchanges by disseminating a country's cultural values, art forms, and ideas. The core of this strategy is to promote the country's unique cultural elements to the international stage through various media and channels, thereby promoting a more comprehensive and positive understanding of the country on a global scale. This study explores the impact of cultural output on the development of the video game industry by taking Shanghai MiHoYo.Network Technology Co. It summarizes the role of cultural output in its brand strategy and analyzes the cultural communication strategy it adopts. The results of the study show that cultural output as a branding strategy brings great advantages to the development of electronic games and enhances the competitiveness of the industry.
Research and Application of High Efficiency Pressure Relief Technology for Ultra-high Pressure Hydraulic Slotted Coal Seam
Authors: Lu Zhanjin
Published: June 2024

In order to solve the technical problem of efficient pressure relief of the impact coal seam, the principle of ultra-high pressure hydraulic slit relief and anti-impact technology is expounded, and the ultra-high pressure hydraulic slit device with working pressure up to 100MPa is selected as the pressure relief equipment of coal seam. The field test of high-efficiency pressure relief by ultra-high pressure hydraulic slotting in impact coal seam was carried out. The test showed that the slotting radius of No.3 coal in Tangkou Mine could reach 1.5m under the condition of 100MPa slotting pressure. The stress variation in seam area and large diameter drilling area is compared and analyzed. The stress in seam area decreases significantly by 40%. The stress of bolt (cable) and the deformation of surrounding rock in the slit area are investigated. Compared with the large-diameter pressure relief area, the increase value of bolt is lower and the increase value of cable is significant in the hydraulic slit test area. The technical benefits of hydraulic slotting and large-diameter drilling are summarized and compared. The engineering quantity of drilling with ultra-high pressure hydraulic slotting is reduced by 60%, and the coal output is 2.5 times of that of large-diameter drilling. The large-diameter drilling provides limited pressure relief space for coal seam, but the ultra-high pressure hydraulic slotting technology can effectively increase the deformation space in the coal body and reduce the elastic energy stored in the coal pillar, so as to achieve a good pressure relief effect. The field test shows that compared with large diameter drilling, ultra-high pressure hydraulic slotting technology has remarkable effects of pressure relief, shock absorption and shock prevention.
Research on The Impact of Digital Inclusive Finance on Inclusive Rural Growth
Authors: Mian Xu
Published: June 2024

Inequality of income and opportunity has always been one of the important problems in China's economic development. Digital inclusive finance is an important way to promote inclusive growth. Based on the collection of relevant data of 31 provinces in China from 2011 to 2020, this paper constructs the rural inclusive growth system and obtains the rural inclusive growth level of each province. Moreover, the digital inclusive finance index data from 2011 to 2020 provided by the Digital Finance Research Center of Peking University is used to construct a linear panel regression model. Empirical analysis of the impact of digital inclusive finance on rural inclusive growth level. The results show that the level of inclusive rural growth of each province has fluctuated and increased in the past decade, and there are some differences among provinces. There is a positive spatial correlation between digital inclusive finance and rural inclusive growth, that is, the development of digital inclusive finance can promote the growth of rural inclusive level to a certain extent. Finally, policy recommendations are put forward in the context of the epidemic. In short, digital financial inclusion uses its own advantages to push forward the goal of inclusive rural growth.
The Impact Mechanism and Promotion Path of Digital Economy on the High-Quality Development of Industrial Chains in Anhui Province
Authors: Han Han , Wang Zixuan , Wang Mengyao
Published: June 2024

The integration of digital technology and the real economy has become an inevitable trend in today’s economic development. This paper aims to explore the impact mechanism and promotion path of the digital economy on the high-quality development of industrial chains in Anhui Province. By analyzing the current situation of digital economy development in Anhui Province, this paper discusses the role of digital technology in promoting the transformation and upgrading of traditional industries, and puts forward some policy suggestions for promoting the high-quality development of industrial chains in Anhui Province.
Analysis and Experimental Research on Water Control Performance of Integrated Water Control Fracturing Completion Tools
Authors: Zhang Yulin , Wang Ningning , Yang Hai , Wen Wan , Chen Man
Published: June 2024

This paper proposes a swirl type water control device to address technical challenges such as gas well formation water output and multi-stage segmented fracturing of long horizontal wells. The geometric and grid models of the fluid region of the water control device are extracted and established. The distribution law of the flow pressure drop of methane gas and pure water passing through the device is analyzed through numerical simulation. The simulation results show that under the same flow rate, the pressure drop of pure water is about 140 times that of methane gas, indicating that the swirl type water control device has a much greater limiting effect on water flow than methane gas; At the same inlet pressure, the production of methane gas is about forty times that of water, indicating that the swirl water control device has a good effect on controlling water gas. At the same time, a set of integrated water control fracturing completion tools was designed, which can directly perform fracturing operations after lowering the pipe column. After fracturing is completed, natural gas production operations can be carried out directly without the need for other auxiliary tools to be lowered. This integrated water control fracturing tool has been applied to 6 gas wells in Changning, significantly improving on-site operational efficiency. The results of this study provide a new and efficient tool for solving the problems of segmented fracturing and water production in gas wells.
Building Value Assessment and Protection Model under Catastrophe Risk
Authors: Shen Can , Wang Chenlu , Zhao Zixuan
Published: June 2024

In recent years, with the change in the global environment, the frequency of catastrophes has been increasing, which poses a great threat to people's property and life safety. Many landmark buildings have high historical or economic value, and it is important to assess the value of these buildings and develop conservation plans. To evaluate the value of the building, this article first established the POT model to evaluate the risk of the building location. Then, based on the EWM-AHP method, we selected the first-level indicators and the second-level indicators to establish the value evaluation model of the building and used the logic function to establish the protection model through data fitting. According to the comprehensive analysis of the risk assessment and the value assessment of the building, the building protection measures are divided into three types: unprotected, reinforced, and relocated. It is applied to the church of San Marco in Venice, and it is concluded that the area needs to be reinforced. The establishment of the model is of great significance to the evaluation and protection of buildings.
Research on Economic Optimization Scheme of Pratt Truss Bridge
Authors: Chu Xianglong
Published: June 2024

Economy is an important factor in bridge construction. The economic optimization of truss bridge is of great significance to improving the economic benefit of bridge construction. However, the safety and stability in bridge construction are often valued in traditional truss Bridges, and its economy is often ignored. The purpose of this paper is to study the economic optimization of Pratt truss bridge with 120 m span, 8m and node length of 6m, 10m and 12m respectively. The study of establishing two-dimensional model using structural mechanics solver shows that when the total length of the Pratt truss node is 12m, the total volume of the truss is the smallest, that is, the least materials are used, and the linear relationship between the bridge span and the node length is established to a certain extent. The results of this study provide an effective reference for the economic optimization of similar truss bridge structures.
The Relationship Between Vegetable Sales Volume and Cost-Plus Pricing Strategies: A Multi-Method Analysis and Forecast
Authors: Wang Haozhe , Liu Yi , Wang Tinghui
Published: June 2024

In today's highly competitive supermarket industry, optimizing sales strategies for perishable goods such as vegetables is crucial for maintaining profitability and market share. This study provides an analytical framework for optimizing vegetable sales strategies in supermarkets, focusing on perishability and consumer behavior. Through regression analysis, it explores the sales volume and pricing relationship, identifying the most effective model with a Mean Squared Error (MSE) criterion. Time series models forecast future needs, reflecting on historical sales' cyclical and seasonal trends. A Particle Swarm Optimization (PSO) algorithm, tailored with constraints, offers predictions on sales volumes and pricing, aiming to enhance profitability. Iterative refinements reveal that the model achieves stability and accuracy in predicting profits. The findings emphasize the critical role of data-driven strategies in the competitive supermarket sector, advocating for adaptive approaches in response to evolving market conditions.
The Cultivation of Intercultural Communication Competence in the Unit Integrity Teaching of the Primary English
Authors: Chen Xixi
Published: June 2024

As China's international status rises, the country needs more and more talents with intercultural communication skills. This paper finds that primary school English teaching materials neglect the cultivation of students' intercultural communication competence, teachers lack the awareness of intercultural communication, teachers' own intercultural literacy is insufficient, and students lack the interest of intercultural communication. The author puts forward suggestions on these aspects, hoping to provide help for elementary school English teachers regarding the cultivation of students' intercultural communicative competence.
Preface: 3rd International Conference on Economic Administration and Information Systems (EAIS 2024)
Authors: Bonnie  , Zuo Jun
Published: June 2024

The 2024 3rd International Conference on Economic Administration and Information Systems (EAIS 2024) was held in Oslo, Norway during April 20-21, 2024. The main purpose of this conference is to provide an international platform for displaying and publishing the latest scientific research results related to the topics of economic administration, business strategies, e-commerce, innovation management, and information systems.
EAIS 2024 provided delegates with a good opportunity to exchange new ideas, establish research and/or business contacts, and establish potential partnerships for global partnerships. We sincerely hope that this conference will help to increase knowledge in relevant scientific and academic fields.
We hope that our later discussion may result transfer of experiences and research findings from participants to others, from one institution to another, from social researcher to engineering researcher and vice versa. Also, we hope this event can build a new and strong research network.
We would like to thank each co-host for the efforts to give significant contribution particularly on paper selection. Last but not least, we would like to express our most sincere gratitude to the international advisory board, scientific committee, steering committee, and everybody taking parts in the success of the conference.
Regards,
The Organizing Committees of EAIS
Oslo, Norway
The Externality Impact of Urban Rail Transit on Urban Real Estate Prices in China
Authors: Wang Shuai
Published: June 2024

China has the largest and fastest growing urban rail transit system in the world. The system plays an important role in China's urbanization process, city governance and residents' daily commutes. The development of urban rail transit (URT) has influenced China's urban spatial structure and real estate supply, and has produced externalities on real estate value, including both positive and negative externalities. The research shows a positive correlation between URT and China’s real estate prices in general. The closer rail transit systems are, the greater the premium on real estate prices. In addition, the impact of rail transit on real estate prices shows a trend of first increasing and then decreasing. Different land use types and urban areas will also be affected. The research also found that the three stages of URT construction: planning, engineering construction and traffic operation have different effects on housing prices. At the same time, the impact of URT on land price will also change with China's economic situation and urbanization process. These influencing mechanisms above between URT and real estate prices may be linked to some factors. This research attempts to explain it by introducing urban spatial and land rent transformation, changes in real estate supply and demand, gentrification process, and different employment and housing pattern. This research points out the shortcomings and possible research directions of existing studies. In order to provide a reference for academic research and government policy making.
Analysis and mining of user behavior on e-commerce platforms based on decision trees and RFM models
Authors: Zhou Xiuyou
Published: June 2024

User transaction behavior has driven the development of e-commerce. This article reveals the key role of the development of the e-commerce industry and user behavior in driving it through in-depth research on e-commerce sales data. Firstly, by grouping and summarizing user IDs through Pandas, a comprehensive user consumption situation was obtained, including consumption frequency, amount, etc., and user consumption behavior was visualized through visual means. On the basis of constructing effective features, Matplotlib was used to depict the number of users who receive coupons every week and day, providing a basis for the establishment of subsequent coupon distribution prediction models. By splitting the payment dates, an RFM model was constructed to analyze the purchase time period, frequency, consumption amount, and the proportion of each user's time behavior, forming a detailed user profile. Finally, the decision tree model is applied to predict the probability of coupon usage.