bluuebunny/crossref_metadata_2025 huggingface dataset:
Research Progress of Sewage Treatment Technology in Small and Medium Sized Towns
Authors: Jia Xiangteng
Published: September 2023

A / O process, oxidation ditch process and other leading technologies used in China's cities, Europe and the United States and other developed countries have been proved to be effective water pollution control technologies. They have their own advantages and disadvantages, and their applicability is also different. However, for small and medium-sized urban sewage treatment plants, these methods may not be suitable. Therefore, for small and medium-sized urban sewage treatment plants, we should consider the problems of technology, management, investment and operation. Therefore, we should look for more convenient, simple operation, low investment and operation cost methods that are more suitable for small towns. In this paper, several common sewage treatment processes are compared to determine the type of sewage treatment process in small and medium-sized towns.
The Application of Electrical Engineering and Automation Technology in Intelligent Buildings
Authors: Zhuang Qianchao
Published: September 2023

Due to the economic development of the country, the building materials industry is also quietly emerging, and electrical engineering and its automation science and technology are widely used. Due to the improvement of people's life, the demand for architectural design and electrical is getting higher and higher, therefore, the correct use of electrical engineering and its automation science and technology is crucial to meet people's demand for architectural design, which not only can effectively use national resources, but also can greatly improve the efficiency of using construction projects and make positive contributions to social development. In order to ensure safety, we have to further improve the degree of application of electrical and intelligent technology. This will make the intelligent architectural design truly possible and effectively realize the intelligent function of architectural design. Therefore, this chapter will mainly discuss the importance and use of electrical and intelligent technology in the intelligent architectural design.
Research Summary of Jacket Cleaning and Detection Robot
Authors: Lv Zhizhong , Kang Yawei
Published: September 2023

In order to solve the jacket platform in the sea level for a long time by the platform pressure, seawater erosion, marine biological corrosion and other factors and the emergence of weld cracks, depressions, deformation, fracture and other defects, it is necessary to regularly carry out cleaning and testing to ensure the stability of the jacket structure. At present, the cleaning and detection of offshore platform jackets are mostly carried out by divers diving into the water. The operation is difficult, inefficient, costly, and greatly affected by the weather. When cleaning operations are carried out in areas with poor water quality, it will pose a threat to the lives of divers. Therefore, it is necessary to develop a new type of jacket cleaning and detection robot structure that can carry cleaning and detection devices instead of manual operation.
Verification Design of Stress Strength of Storage Tank Support Based on Finite Element Method
Authors: Chen Zhipeng
Published: September 2023

Based on ANSYS software, stress analysis was conducted on the bottom of the storage tank, and the container stress was checked using stress classification methods. The comparison was made with the situation without supports, which can provide some reference for practical engineering applications.
Short Term Wind Power Prediction Based on CEEMDAN-LSTM
Authors: Zhang Congming , Yang Zicheng , Gao Shaofei
Published: September 2023

To improve the accuracy of wind power prediction, a wind power prediction method based on time series decomposition and error correction is proposed. Firstly, the maximum information coefficient (MIC) method was used to select the features that have strong correlation with wind power to reduce the complexity of the original data; Then, according to the non-stationary characteristics of wind power, complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) was used to decompose wind power into several stationary subsequences; Finally, the long short memory network (LSTM) was used to dynamically model the wind power multivariable time series; Add the predicted values of each subsequence to get the final predicted value. Combined with the measured data of a domestic wind farm, the simulation results showed that the proposed method had higher short-term wind power prediction accuracy compared with other prediction models.
Design of Digital Image Processing System Based on Machine Vision
Authors: Zhong Xiaolei
Published: September 2023

Digital image processing technology is a technology that has developed rapidly in recent years[1]. A series of images are processed by computers to improve the visual effect of the image in order to achieve the desired presentation effect. Digital image processing technology has been continuously developed with the innovation of computers, and its application range has expanded from the original image field to traffic command, signal processing, medical treatment and other fields closely related to people's lives. With the support of many algorithms, the speed of digital image processing technology is getting faster and faster, which brings a lot of convenience to people's lives, and which becomes an indispensable technology in life. With the help of MATLAB's GUI user interface, image processing toolbox and MATLAB's comprehensive mathematical function library, this article designs an image processing operating platform that realizes some image processing functions after repeated trials.
Large-Scale Networked Visual Data: Current Research and Future Trends in Associative Inference and Semantic Comprehension
Authors: Wu Yu
Published: September 2023

Aiming at the fact that most of the existing visual data comprehension deals with individual visual objects in isolation and focuses on their inherent characteristics, and pays insufficient attention to the characteristics of network heterogeneous distribution and interconnections, which leads to difficulties in solving low computational efficiency, and understanding of low-level semantics, etc., we elaborate on the hotspots of the research of associative inference and semantic comprehension of large-scale networked visual data, analyze the current status of the research at home and abroad, and look forward to the development trend in this direction. We analyze the current research situation at home and abroad and make an outlook on the development trend of this direction.
Optimization of LCL Filter Grid-Connected Inverters
Authors: Wang Hanyun
Published: September 2023

The increasing use of grid-connected inverters in power systems, driven by renewable energy growth and high-voltage, high-power open-loop devices, poses challenges due to PWM modulation generating harmful high-frequency harmonic currents. Optimizing parameter selection becomes crucial.LCL grid-connected inverters, as third-order systems, suffer from insufficient damping, leading to oscillations. Active and passive damping techniques are employed for effective control. The optimization process involves analyzing the fundamental principles of LCL filters, selecting space vector modulation for PWM. Design focuses on controlling current ripple within limits by considering LCL filter parameter constraints.A comparison of passive and active damping methods favors a current dual-loop control system. Simulation models evaluate system performance, confirming successful implementation of the optimized design.
Study of Ancient Glass Classification and Subclassification Based on Systematic Clustering Models
Authors: Luo Jun , Jiao Peiyuan , Zeng Keyan , Zhang Yixin
Published: September 2023

Ancient glass is highly susceptible to weathering by environmental influences, resulting in changes to its internal chemical composition, which can affect the correct determination of its category. For the purpose of classifying ancient glass, three indicators of classification were chosen based on the magnitude of the mean value of each chemical composition of the two main types of glass. The ???? principle and the lower quartile principle are chosen, respectively, to determine the critical values according to whether the data follow a normal distribution or not, and the final classification results are obtained by hard voting. The hard voting model was trained with an accuracy of 97%. The two main classes of glass were then subclassed according to systematic class clustering, and by making the real data fluctuate within ±1%, the clustering was performed again under the same conditions. The same results were found as for the stable data clustering, indicating that the systematic class clustering model is stable for subclassification of each glass category.
The Influence of Cognitive Style on Self-Regulated Learning Ability of College Students
Authors: Li Fang , T. Bagasol Mariano
Published: September 2023

This study examined the relationship between cognitive style and self-regulated learning ability among 232 college students from colleges and universities in Hebei Province, China. The analysis revealed a significant positive correlation (r = 0.735, p < 0.01) between cognitive style and self-regulated learning ability. The finding supports previous research emphasizing the influence of cognitive style on learning outcomes. Educators can utilize this knowledge to design instructional strategies that cater to individual cognitive styles, enhancing students' self-regulated learning.
Research On Countermeasures of Strengthening Ecological Civilization Education of “Outline of Modern and Contemporary Chinese History" Course
Authors: Zhang Liqing , Shi Hengyu , Liu Jiaxuan , Luo Le
Published: September 2023

"Outline of Modern and Contemporary Chinese History" is one of the main courses for moral cultivation. In order to implement the spirit of the 20th National Congress of the Communist Party of China, to promote the harmonious coexistence between human and nature, to improve the quality of ecological civilization of college students, and to enhance the teaching effectiveness of the "Outline" course, it is necessary to strengthen the ecological civilization education of the "Outline" course. It is an is an important guarantee to develop, utilize and explore the ecological civilization education resources in the textbook for the comprehensive integration of ecological civilization education into the "Outline" course.It is necessary to flexibly use a variety of teaching methods in combination with the teaching content of ecological civilization and strengthen the practice of ecological civilization teaching inside and outside the school. It is the key to improve teachers' ecological literacy for enhancing the effectiveness of ecological civilization education in the “Outline” course
An Analysis of the Historical Process of Media Marketization in China
Authors: Liu Bingqian
Published: September 2023

Under the social background of the in-depth development of market economy, news photography must keep pace with the times, explore and innovate, actively explore and effectively meet the market demand. Besides reporting the promotion of China's socialist market economy, it also needs to work hard to enter the market. Media history is an organic part of the whole social history. From the perspective of social development law, marketization is a stage that media development history must go through. The structure of China's media market is characterized by low industrial concentration and imbalance, low differences in media products, high barriers to entry and exit of industries, and an overall unbalanced state. The development of media structures with different properties and different media is extremely unbalanced, and the spatial structure of media development is unbalanced. This paper intends to analyze the historical process of media marketization in China, in order to have a deeper understanding and forward-looking understanding of the market-oriented transformation of media in China.
Exploring User Experience Design in Computer-Based New Media Art
Authors: Ye Caixian , Xu Lijun
Published: September 2023

New Media Art is a modern interdisciplinary art, It integrates fine arts, psychology, sociology and computer science.With the rapid development of information society and computer science, in the information age of big data, the rapid development of artificial intelligence technology has raised computer science to a higher level, while art still stays in aesthetics, acoustics, vision, psychology and other aspects, lacking logic, intelligence and integration.Therefore, the new media art urgently needs to be further developed with the support of the new computer technology.The project uses big data and artificial intelligence technology to realize the basic model of new media art, which greatly improves the quality of art classification, reduces the labor production costs, and increases the operating income of enterprises, produces good economic benefits.To strengthen user experience design as the core, improve user participation and sense of gains.
Freedom is like flying a balloon, —— Take Mongolian Spirit and Balloon as examples to explore the evolution of female images in ethnic minority films in the modern context
Authors: Yuan Ming , Yang Hanqi
Published: September 2023

As a unique and indispensable part of Chinese films, minority films have been trying to show the ethnic cultures from different perspectives in the decades of development. Great changes have also taken place in the situation and image shaping of minority women. This paper will take "Mongolian spirit", "balloon" and other minority film image of female, for example, from the minority female plight, female roles, nomadic image inheritance and change in three aspects, the analysis since the 1990s national film women situation and the image of change, explore the national culture inheritance and change, and modern and traditional ideas collision of the minority people's ideas.
Exploring the Modern Chinese National Music Style Reflected in Zhang Zhao's Piano Work "Pi Huang"
Authors: Huang ZiHeng , Rattanachaiwong Nataporn , Li Jing
Published: September 2023

In today's increasingly emphasis on cultural identity, ethnic music as an important research carrier will receive more attention in future research. With the progress and development of society, Chinese ethnic music is constantly updated and developed. Zhang Zhao's piano works emerged in this context, providing good reference and inspiration for the development of Chinese ethnic music with its innovation and uniqueness. Therefore, studying Zhang Zhao's ethnic piano works is of great significance for the development and promotion of modern Chinese ethnic music. Currently, the relevant research on Zhang Zhao's piano works mainly focuses on the creative techniques, performance skills, ethnic music culture, aesthetic thinking and other aspects, while there are few studies on exploring the reflection of his works on the modern Chinese ethnic music style and argumentation through work analysis. This project will analyze Zhang Zhao's representative piano work "Pi Huang" to explore the reflection of modern Chinese ethnic music style in the work.
The artistic characteristics of the "Major Aria" in the Chinese tragic opera -- Take the aria "I will love you in the afterlife" from the opera "Canal Ballad" as an example
Authors: Ye Mengping , Maneewattana Chutima , Liu Lingling
Published: September 2023

"Major Aria" is the last aria before the end of the tragic fate of the main character of the opera, as one of the most important aria of the whole opera, its emergence of the fate of the characters to explain the direction, predicted the sad end of the drama, the most representative embodiment of the work of the "sadness" and the artistic charm of the work. and the artistic charm of the work. In this paper, we take the "Major Aria" of Shui Honglian's role in the excellent representative opera "Canal Ballad" as the object of study, and explore its artistic characteristics, so as to provide some reference for opera workers.
Exploration on the Construction of County Medical Community Information Platform
Authors: Zhang Luyao , Cai Lecai
Published: September 2023

By combing the development status and key problems of the county medical community model, analyzing the practical scenarios of the county medical community, combining Big data, cloud computing, artificial intelligence related technologies, designing the architecture model of the county medical community information platform, and exploring the construction methods of the county medical community information platform that meet the social development status and meet the people's health needs. It provides reference for the landing and development of future medical informatization, medical Big data platform and county medical community information platform.
Review of Target Detection Algorithms
Authors: Zhou Xu , Lin Guojun
Published: September 2023

Object detection is a popular direction of computer vision and digital image processing, which is widely used in robot navigation, intelligent video surveillance, industrial detection, aerospace and other fields, using computer vision to reduce human capital consumption has important practical significance. Because of the wide application of deep learning, the algorithm of target detection has been developed rapidly. This paper mainly introduces the traditional target detection algorithm and two kinds of target detection algorithm based on depth learning and the data set commonly used in target detection.
Design of Real-time Pedestrian Trajectory Prediction System based on Jetson Xavier
Authors: Liu Quankai , Sang Haifeng
Published: September 2023

This paper presents a vehicle-mounted real-time pedestrian trajectory prediction system based on the embedded device Jetson Xavier. It achieves low-cost real-time pedestrian trajectory prediction using only the front camera of the vehicle. Firstly, pedestrian detection and tracking are implemented based on YoLoV7, while also estimating pedestrian poses and optical flow to provide multiple information sequences for the trajectory prediction network. Secondly, the pedestrian trajectory algorithm from a driver's perspective is studied, and a trajectory prediction algorithm that considers pedestrian pose, optical flow, and trajectory information is proposed. A novel multi-information fusion network is designed to better integrate multiple features. The algorithm is tested on the JAAD and PIE datasets, and the displacement errors are reduced by 6.35% and 3.28%, respectively, compared to BiTraP. Finally, the algorithm is ported to the embedded device Xavier and installed on a simulated vehicle for testing. By predicting pedestrian future trajectories based on pedestrian detection, collisions can be avoided in advance, improving the safety of autonomous driving. The proposed system has significant practical value.
A Gravity Compensation Algorithm of Robot Manipulator Control based on the Trigonometric Function
Authors: Wang Yan , Chen Xue
Published: September 2023

The conventional gravity compensation algorithm requires precise dynamic parameters and a complex matrix transformation operation, which is difficult in applications to real-time control. In this paper, a simple and practical gravity compensation algorithm is proposed based on the space geometry characteristics of a mechanical arm and the principle of torque balance. This algorithm does not require a complex calculation of space coordinate transformation and does not require obtaining all accurate dynamic models and parameters. It only requires estimating the maximum gravity moment of the mechanical arm and simply calculating the trigonometric function. Thus, this algorithm can be extended to a non-parallel shaft mechanical arm, which is suitable for N joints in space. To verify the control effect after gravity compensation, the most easily comprehensible proportional-derivative controller combined with gravity compensation is used to control two-joint and three-joint mechanical arms for simulation. With the gravity compensation and non-compensation of the mechanical arm and with a comparison with other compensation methods, such as the fixed gravity compensation algorithm, the results show that the gravity compensation algorithm can achieve better trajectory tracking control, higher steady-state precision, an effectively reduced work burden of the controller and improved system stability.
Bitcoin Price Prediction Based on CNN-Bi-LSTM-Attention Model
Authors: Yang Qifei , Sun Yuhan , Wu Yuhao
Published: September 2023

Due to many factors, Bitcoin has experienced huge price fluctuations since its emergence, and it has received extensive attention. Forecasting the price of bitcoin is of great significance for investors and for the country's future development. This paper collects the data of bitcoin price and indicator that may affect the price, and then use random forest algorithm for feature selection to remove all nonessential indicators. Then, CNN-Bi-LSTM-Attention model is built to train the data and predict the price of bitcoin. Finally, this model is compared with other models. It can be found that this model has higher prediction accuracy and better prediction effect than traditional models such as LSTM and CNN-LSTM.
Analysis of Green GDP Based on Multiple Linear Regression Model
Authors: Ma Ziqing , Liu Ziyi , Ma Xueyao
Published: September 2023

GDP is an important indicator to measure a country's economic situation. However, with the development of our society, GDP can no longer represent the real situation of a country’ economy, since it does not take into account the sustainability of a country’s economic development. Thus, green GDP, also known as GGDP came into being. GGDP not only measures a country's economic achievements in the past, but also measures its ability of sustainable development in the future. Based on the linear regression model of GGDP, this paper analyzes the factors that may affect a country's GGDP, and further discusses the influences of GGDP on a country's sustainable development.
Corporate Litigation Risk, Earnings Management and Audit Fees
Authors: Zhang Li
Published: September 2023

As China’s economy and society continue to develop and the legal system progressively advances, litigation has become a way for more and more companies to resolve disputes. However, while litigation protects the rights and interests, it also brings different aspects of impact to the company itself, the audit firm and the stakeholders. This paper limits the sample to non-financial listed companies in Shanghai and Shenzhen A-shares from 2012-2019, and constructs an earnings management mediating effect model to study the impact of corporate litigation risk on audit fees and its mechanism of action. It is found that (1) company’s litigation risk has a significant positive effect on audit fees; (2) company’s litigation risk has a significant positive effect on the degree of earnings management; (3) the impact of corporate litigation risk on audit fees will be partly realized by increasing the company’s earnings management activities in the course of its operations, in other words, the higher the company’s litigation risk, the higher the company’s earnings management, which will further lead to an increase in audit fees.
The Feasibility Study of Approaches to SMEs Business Resilience in Post-Pandemic Times
Authors: Liang Wenlin
Published: September 2023

Over the past few years, the epidemic has led to the destruction of families, a run-on resource in the healthcare sector, and an overall economic downturn, which is particularly evident among Small- and Medium-sized Enterprises. Some of the enterprises were shut down permanently, affecting the livelihoods of many people. Now with the opening of the country's borders, people's lives are gradually back in order in this post-pandemic era. It is time to think about how to get SMEs back into production as they contribute the most to the global GDP. Thus, this paper aims to address possible ways for SMEs to create business resilience and achieve sustainable growth through risk management, digital transformation and strategic alliances in the highly uncertain context through critically assessed prior research. The findings suggested that active risk management, implementation of digitalization and selected strategic alliance have positive influences on the resilience of SMEs. Although there might be inherent limitations of SMEs, it is still helpful in the recovery of SMEs.
Research on Regulations of Third-Party Funding in IIA
Authors: Zhao Yifei
Published: September 2023

In recent years, third-party funding (TPF) in international investment arbitration (IIA) has made a significant impact both in theory and practice. Nowadays, a Chinese law firm (the "PRC law firm") acted as the sole agent in the international investment arbitration case AsiaPhos v. China and the Chinese party won the lawsuit. One of the petitioners in the suit, AsiaPhos (Asiahua Group), claimed that its board of directors and its subsidiaries had entered into a formal financial aid agreement with a US-based fund, namely TPF. The financial support offers an opportunity to approach justice to applicants in economic distress or intending to share arbitration risks and also produces deterrence to the host state from any improper behaviors harming the interests of investors. However, on the one hand, due to commercial litigation, the arbitrators and investors will have a conflict of interest, on the other hand, third parties and investors usually live abroad, where governments lack the relevant information and competence that require international cooperation. In addition, the host country, especially the developing country, will also face the high cost of investment arbitration, and solving the problem must be needed for relevant mechanisms. This article discusses the application and development of TPF in IIA and analyzes the negative impact of TPF based on some legal issues, and then proposes the relevant rules and policy. On this basis, the study also provides suggestions for the practice of TPF from the perspective of the Chinese party to promote the development of TPF and puts forward advice for international investment rule-making balance in China.
Legal Risks and Regulating Suggestions on Cross-border Tax Avoidance: Using Thin Capitalization As a Starting Point
Authors: Kong Mingmin
Published: September 2023

With the integration of the global economy and the rising volume of international transactions, tax avoidance by MNCs poses a huge challenge to the global economy. Thin capitalization by MNCs creates serious tax base erosion and profit shifting for host countries and is a tax avoidance tool that cannot be ignored. This paper focuses on the present legal risks of thin capitalization and thus proposes recommendations for improving the legal regulation of tax avoidance by MNCs. Firstly, this paper introduces the concept of thin capitalization and analyses the impact of capital weakening by MNCs as a tax avoidance tool on the host country, revealing that thin capitalization by MNCs can have significant adverse effects on the host country.Secondly, the paper then looks at international law and the tax laws of China, the UK and Germany. The analysis concludes that international tax treaties are effective in regulating thin capitalization by MNCs. This paper analyses the advantages of international tax treaties and shows their importance.Finally, this paper makes suggestions for improving international tax cooperation based on the importance of international tax treaties as analyzed in the previous section. This paper proposes that the improvement of the BEPS MLI may start with setting a time limit on treaty reservations, strengthening the tax administration systems of economically underdeveloped countries and regions, and encouraging developing countries to actively participate in international tax cooperation.
Analysis of Methods to Enhance Execution Capability in Enterprise Operation and Management
Authors: Yan Zhuang
Published: September 2023

This article explores the importance of enterprise execution capability, as well as the reasons for insufficient enterprise execution capability and the methods to improve it. The author points out that enterprises need to have the ability to implement strategies, manage projects, improve organizational efficiency, and enhance performance in order to have good execution capability. The main reasons for insufficient enterprise execution ability include unreasonable institution establishment, communication barriers between departments, incomplete training, improper recruitment of employees, and a lack of scientific supervision and incentive mechanisms. To improve enterprise execution capability, it is necessary to establish clear and specific operational systems, strengthen communication between management and employees, enhance employee execution capability through training, enhance corporate culture, establish suitable performance assessment standards, optimize human resources organization, and other aspects to promote the improvement of enterprise execution capability.
Modeling and solving used sailboat market strategy and pricing method
Authors: Zhang Junhao , Zhang Zishu
Published: September 2023

The value of a sailboat changes with age and market conditions, and the price of a sailboat is also affected by many factors such as manufacturer, variant, length, etc. Based on this, the purpose of this article modeling is to study the pricing of used sailboats so that brokers can sell them better. This paper explains the market situation and appropriate pricing of sailboats through the following methods. Firstly, data cleaning and processing are performed to construct an influence factor map for the value of second-hand sailboats, establish an influence factor matrix and network, and utilize a decision tree model to explain the pricing. Additionally, other data resources are incorporated to enhance the accuracy of the model, and statistical software is used for modeling and validation. A multiple regression model is established to convert geographic area variables into dummy variables, assess the impact of geographic regions on prices through multiple linear regression, and explain the practical and statistical significance. The regression model is then employed to predict prices in the Hong Kong market, with comparisons to actual market data to demonstrate practical and statistical significance. Lastly, a cluster analysis algorithm is implemented to classify second-hand sailboats and improve sales effectiveness. In summary, the team prepared a report through modeling and solving, which explained the market for sailing boats and reasonable quotations for second-hand sailboats.
The future prospects of cryptocurrencies and their impact on financial markets
Authors: Feng Ruiting
Published: September 2023

This article examines the future prospects of cryptocurrencies and their impact on financial markets. First, the article introduces the definition of cryptocurrencies. The article then analyses the future prospects for cryptocurrencies, including the impact of technological advances on cryptocurrencies, the growth trends in the cryptocurrency market, and their potential as alternative currencies. The article then examines the impact of cryptocurrencies on financial markets, including financial innovation and ecosystem change, market volatility and risk. Finally, the article summarises the future prospects for cryptocurrencies and the impact on financial markets, and highlights the importance of balancing regulatory compliance and innovation.
Changes of Civil Liability Risks of Audit Institutions under the Special Representative Litigation System——Take the Kangmei fraud case as an example
Authors: Tao Qiufan
Published: September 2023

The new Securities Law proposes the concept of a special representative litigation system, increasing the efforts to protect the legitimate rights and interests of investors who are infringed upon, and the civil legal liability risks of audit institutions increase accordingly. To promote the healthy and orderly development of securities market and audit industry, this paper will take the Kangmei’s fraud case, the first case in which the special representative litigation system is applied, as the starting point, and analyze the civil legal liability of the audit institution in the case, so as to explore the changes of the civil legal liability of the audit institution under the special representative litigation system, and then put forward enlightenment and suggestions for the audit institution to achieve risk reduction.
An Empirical Study on Yield Volatility of Cryptocurrencies
Authors: Cai Ruolin
Published: September 2023

With the rapid development of cryptocurrencies, the volatility characteristics of their yields have received more and more attention. At the same time, many empirical studies show that the GARCH family model is more effective in describing the volatility of financial time series. Firstly, this paper briefly introduces the research background of cryptocurrency and the research method using GARCH model. Next, the daily rate of return is calculated and descriptive statistical analysis is carried out on the collected closing price data of cryptocurrency, and on this basis, the GARCH model is constructed for empirical test to explore the volatility characteristics of its rate of return. Then the corresponding research conclusions and relevant policy recommendations are given.
Exploration of Marketing Strategies of Rural Financial Institutions in the Context of Internet Finance--Bank A as an Example
Authors: Chen Xu
Published: September 2023

As an essential component of China's financial institution system, the development and operation of rural financial institutions are of great significance to the economic development of capital financing, the improvement of the "Issues concerning agriculture, rural areas, and farmers," and the promotion of financial inclusion in rural areas and urban-rural areas of China. On this premise, based on the impact of Internet finance on rural commercial banks and the comparison between rural commercial banks and other commercial banks, this paper briefly discusses the improvement direction of marketing strategies of rural commercial banks using the traditional 4P theory as an example. In terms of products, we can learn relevant technologies from large commercial banks and actively develop products that meet customers' needs; the pricing strategies of commercial banks or financial institutions in different rural areas should be focused, and product prices can be dynamically adjusted according to the background of the general environment rather than fixed; at the same time, we should deepen offline sales channels and actively open online channels, combining online and offline media; finally, agricultural commercial banks should adhere to the principles of innovation. Finally, agribusiness banks should comply with the principles of invention, stability, and compliance and pay attention to adopting technology for risk control.
Green GDP Calculation Methods and Practical Applications Based on an Environmental Perspective
Authors: Wang Yan , Xue Tong , Xu Sirui
Published: September 2023

In using the traditional GDP to measure the health of the country, the impact of ecological pressures is ignored. As the economy grows and the ecological environment deteriorates, it forces us to shift to green GDP to measure the health of the economy so that it can reflect sustainable growth in the economic environment. To address the many challenges of green growth and sustainable development, this paper evaluates the relationship between GDP and resources and the environment by using the development of a green GDP model. We have chosen an accounting model of (GGDP), using which we include the cost of environmental pollution, the cost of resource depletion, and the cost of environmental improvement. This model is then monetized and the final model obtained provides a new method for quantifying the cost of environmental and resource degradation, demonstrating that GGDP can be used as a primary measure of economic health and can measure the impact on climate mitigation.
Public opinion risk management strategy from the perspective of financial technology
Authors: Ma Yingkai
Published: September 2023

With the rise of the information age and the popularity of the Internet, financial technology enterprises are facing the challenge from the risk of public opinion. Public opinion risk management strategies in the field of financial technology include monitoring and early warning, establishing crisis management mechanism, strengthening communication and interaction, risk assessment and control, and compliance legal risk management. Negative news can spread in an instant and have a serious impact on corporate reputation, and background factors such as changing user demand, strengthening government supervision, fierce market competition and increasing public attention further aggravate this risk. Therefore, this paper puts forward that financial technology enterprises need to establish effective public opinion risk management strategies, including monitoring and early warning, establishing crisis management mechanism, strengthening communication and interaction, conducting risk assessment and control, and complying with legal risk management, so as to protect the reputation and interests of enterprises and realize sustainable development.
The competitiveness analysis of Chinese automobile industry based on Improved Porter Diamond Model
Authors: Wei Nantao
Published: September 2023

With the rapid development of Chinese automobile industry, it has become one of the pillar industries of the national economy, which plays an increasingly important role in the rapid growth of the national economy. This paper aims to investigate the competitiveness of Chinese automobile industry in different provinces and cities and to quantify the core competitiveness. Improved Porter Diamond Model is adopted to evaluate the factors that affect the Chinese automobile industry, including Industrial structure, Production factors, Demand conditions, Related and supporting industries. The data used for the analysis mainly comes from China Automobile Yearbook. Entropy Method and TOPSIS are applied to calculate the weights of each factor and evaluate the quality level of the indexes. According to the analysis, Guangdong, Jiangsu, Shanghai, Jilin, Shandong, Hubei, Zhejiang, and Beijing have higher scores and top ranking, showing strong core competitiveness, which is consistent with the reality. Tibet, Qinghai, and Ningxia ranked last because of their geographical location, which restricted the development of their automobile industry. The model can truly rank the province’s automobile core competitiveness quantitatively, which is consistent with the reality and has high practical application value. Overall, these results shed light on guiding further exploration of the evaluation and quantification of core competitiveness in different industries.
Research on Policy configuration Scheme based on improved ARIMA Model
Authors: Qi Xuanlong , Hu Haodong
Published: September 2023

In this paper, we use the principle of different models to remove the trend from the stock time series and choose the SARIMA [1, 1, 1][0,1,0] 12 models to fit the stock price. The results show a good prediction performance. Then a ternary transaction strategy is proposed, accurately identifying value changes regarding cash as financial products (expected rate of return = 0%, cost = 0%), and establishes a ternary asset flow model. Combining the expected rate of return and volatility, we model the value of existing financial products. Based on the trend accuracy to evaluate the accuracy of stock price prediction, the SARIMA model shows high accuracy in the verification set, and the maximum root mean square error (RMSE) is 11. 5494. The final five-year return is 51973 times higher than the bank savings and fixed investment return.
Intelligent Prediction Model of Shanghai Composite Index Based on Technical Indicators and Big Data Analysis
Authors: Fei Yirou , Zhou Yan
Published: September 2023

Technical indicators provide useful information for investors to study the stock market. Based on the Shanghai Composite index from November 1994 to March 2022, we construct 20 technical indicators based on the moving-average (MA) rules, momentum (MOM) rules and volume on balance (VOL) rules, and model and analyze through ordinary least squares and extracted principal components. We found that the technical indicators provide effective information for the forecasting of the excess return rate of the Shanghai Composite index both in- and out-of sample, and the model has more superior forecasting performance in the decline period of the business cycle. In addition, this paper finds that the information provided by the technical indicators can better predict the rise of the peak front and the trough front of the business cycle. Finally, this paper studies the economic significance of the yield forecasting using technical indicators, and finds that the information in technical indicators can help investors to obtain better investment returns without transaction fees.
The Application of Anthropomorphism in the Illustration Design of "Gu Nian Meng Yu”
Authors: Chen Yanlu , Yuan Mingjing
Published: September 2023

The key to the application of anthropomorphism in illustration design is not to directly copy or completely detach from the prototype, but to organically use these design elements and transform them into anthropomorphic images to better express the author's emotions and present a more meaningful and resonant visual image, so that people can feel a correlation between the anthropomorphic object and our human principle. One of the most important points is that when using anthropomorphism, we need to find the right connection between anthropomorphic objects and people. If there is no connection between anthropomorphic objects and people, then it is impossible to anthropomorphize them.
Analysis of the Vertical Forest of Milan in Terms of High-Rise Architecture and Biodiversity
Authors: Liu Yiqi
Published: September 2023

With the acceleration of globalization and the development of human civilization, urbanization has led to people living in a space full of industrial materials that create modern icons, while at the same time causing high levels of energy consumption and pollution. Increasing environmental problems have prompted architects to consider the increasingly unbalanced relationship between humans and the natural world and to return to nature. The aim of this research is to discuss how the harmony between architecture and natural ecology has become a key issue in today's environment, trying to find a balance between nature and the city. In this essay, I will discuss the context and 'tree' element of the vertical forest in Milan, Italy, the vertical forest as a living ecosystem, the analysis of architectural structures, the interdisciplinary exploration of sustainability, the non-anthropocentrism embodied in the vertical forest, and the transition from the 'vertical forest' to the 'forest city'. "The transition from the 'vertical forest' to the 'forest city' and the debate on the concept of the 'forest city'. "From 'vertical forest' to 'forest city', a dialectical reflection on the intentions of vertical forest and 'forest', an analysis of the ecological design of vertical forest and the innovative integration of multiple the debate is about the innovative integration of vertical forests and 'forests', and the construction of a truly biodiverse, high-density city.
Othering and Self-Cognition: A Paradigm for National Image Communication
Authors: Liu Dan , Zheng Jiaxin
Published: September 2023

The study of national image communication is an academic topic discussed by scholars from various fields such as political science and communication studies. This paper aims to deconstruct the theory of "othering" in postcolonialism and explore the relationship between the real "other" and "self" in Orientalism, envisioning a utopian communication model of "self" under the paradigm of "othering." Faced with the dominant discourse system of the West, China's communication of its self-image is not only constrained by national values and power but also by the binary thinking patterns of "othering" and "self-cognition" inherent in the historical opposition between the East and the West. In this paradigm, it is impossible to completely detach ourselves from the Western "other" and achieve a modern "self-cognition." However, we can imagine a cognitive convergence in an idealized model, gradually aligning the Western perception of the Chinese "other" with China's self-cognition, thus forming a temporary balance and an objective "true image.".
Analysis of the Four Treasures of Xuancheng Wenfang and the Road to Chinese Painting
Authors: Yang Mengyu
Published: September 2023

Chinese painting is a unique form of artistic display in China, a concrete embodiment of the traditional culture of the Chinese nation, carrying more than 3,000 years of historical accumulation, and a treasure of world culture. The tools and materials used in the creation of Chinese painting-- the Four Treasures of Wenfang also have profound connotations, and from the use of the Four Treasures of Wenfang, we can glimpse the personality and long historical charm of the Chinese nation. Therefore, this article starts from the symbolic spirit of the four treasures of Chinese painting, analyzes the profound connotation therein, and finally feels the rich meaning and spirit of Chinese painting. Chinese painting is a unique form of artistic expression in China, a concrete embodiment of the traditional culture of the Chinese nation, carrying more than 3,000 years of historical accumulation, and is a treasure of world culture. The tools and materials used in the creation of Chinese painting-- the Four Treasures of Wenfang also have profound connotations, and from the use of the Four Treasures of Wenfang, we can glimpse the personality and long historical charm of the Chinese nation. Therefore, this article starts from the symbolic spirit of the four treasures of Chinese painting, analyzes the profound connotation therein, and finally feels the rich meaning and spirit of Chinese painting. Culture is the soul, industry is the carrier, and in-depth excavation of excellent traditional Chinese cultural resources with local characteristics to achieve creative transformation and innovative development is of great significance for cultivating cultural and creative industries to become new growth points and promoting the high-quality development of the county economy. In this regard, we must think deeply and find the best path for the development of excellent traditional culture "double creation".
Study on Totem Culture in Yunnan Region
Authors: Yan Haijun
Published: September 2023

As an important province in southwest China, Yunnan has rich and diverse cultural heritage. Among them, totem culture, as a unique and characteristic part of Yunnan region, has important research significance. This paper mainly discusses the definition, formation background, inheritance status and significance of totem culture, and deeply analyzes its connotation and value in combination with the totem culture in Yunnan, in order to provide effective theoretical support and practical guidance for the protection and inheritance of totem culture.