bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Brand Awareness on Purchase Intention
Authors: Chen Shuwen
Published: June 2024

The degree of brand awareness (BA) exerts a strong impact on the behavior and choices made by consumers. To comprehensively understand how brand awareness influences decision making on the part of consumers, this detailed review assesses the effect that awareness has on a person's intention to purchase. A large number of studies were analysed by this paper to explore the relationship between these two aspects in great detail. The results confirms that BA is significantly related with purchase intention(PI). The association implies that the higher degree of brand awareness, the more are consumers who would consider whether to buy a company's products or services. Additional variables, such as product quality, individual specifications, and customer happiness with past purchases, impact this relation between BA and intention to buy. Findings from this research highlight the significance of brand awareness and its ability to influence purchasing decisions. Getting a high degree of public recognition for their brand is something businesses should pay particularly close attention to if they hope that purchases will actually be made by consumers. However, with proper investment in marketing strategy, organisations can effectively affect the customer decisionmaking process and raise brand awareness. Also, the effectiveness of brand awareness at affecting purchase intentions can be further improved by focusing marketing efforts on certain age groups.In summary, this study points out the great importance of brand consciousness for what it contributes to customers 'purchase intentions. It gives marketers what they need to inculcate customer loyalty and design effective brand strategies.
Morphological distribution and risk assessment of soil heavy metals in the Belly of the Three Gorges Reservoir area in Chongqing-A Case Study of Fengdu
Authors: Mao Lingling , Luan Jinhua , Zhang Ruigang , Hu Feng , Duan Jiahui , Tian Heming , Ning Mohuan , Zhang Xiong , Zhao Haitong , Li Changchao , Luo Xu , Chen Fei , Liu Zixuan
Published: June 2024

The study of the morphological distribution and pollution risk of heavy metals in the hinterland of the Three Gorges Reservoir area in Chongqing can be used to provide data support for soil pollution prevention and control, ecological environment safety risk control and agricultural healthy development in the region. In this paper, Fengdu County, the hinterland of the Three Gorges Reservoir Area in Chongqing, was taken as the study area. The total amount and morphology of 8 heavy metal elements in the surface soil of agricultural land were analyzed and determined. The geocumulative index method was used to evaluate the pollution degree. The risk assessment coding method is used to evaluate the potential risk level. The results showed that the average contents of heavy metal elements As, Hg, Cu and Cr in the soil in the study area were relatively low. The average contents of Cd, Zn, Pb and Ni were higher than those in the Three Gorges Reservoir area. The mean value of Cd content was 1.71 times that of the background value. Cd in the soil heavy metal form is dominated by ion exchange state. The proportion of carbonate-bound state and iron-manganese bound state is relatively high. The proportion of bioavailable state was 46.36%, and the biological activity was strong. The other elements are mainly in the stable residue state. The results of the geoaccumulation index method showed that Cd was mainly mild pollution level. The other elements are mainly clean and pollution-free levels. The evaluation results of the risk assessment coding method showed that the risk of Cd contamination was the highest, and the risk of contamination of other elements was relatively low. On the whole, there is a certain degree of potential pollution risk in the soil Cd in the study area. Attention needs to be paid to the prevention and control of Cd.
Quantification of momentum in tennis matches and its impact: a study based on AHP-EWM method and data analysis
Authors: Wu Wei
Published: June 2024

Tennis is a globally popular sport that tests players' abilities in all aspects, including mental quality. In tennis, momentum is a psychological phenomenon that reflects the strengths and weaknesses of players. It affects players' mentality, performance, and match results. However, there are still some inadequacies and controversies in the current research on momentum, such as its concept, formation mechanism, quantification method, and actual effect. This study deeply analyzes the concept and formation mechanism of momentum in tennis matches and its influence on the result of the match. Through a combination of data analysis and quantitative methods, this study reveals the importance of momentum changes on player performance and match results. Through the application of AHP-EWM, Welch's T-Test, and Run Test, this paper not only quantifies momentum but also confirms the significance and non-randomness of momentum, refuting the traditional views on the randomness of competition performance fluctuation and success rate. The results of this study not only provide a new perspective for understanding the strategy and dynamics of tennis matches, but also provide practical guidance for athletes' training and competition preparation. In addition, the methodology and findings of this study also have reference value for other sports that need to analyze the impact of momentum, opening up a new path for future sports science research.
Professional Coaching among Trainers and Sports Adaptability among Students in an Institute in China
Authors: Chen Rong
Published: June 2024

This study aimed to investigate the relationship between the level of sports coaching professionalism exhibited by the PE instructors and the sports adaptability of students. Profile of the student respondents, their assessment on their instructors’level of sports coaching professionalism, their current level of sports adaptability, differences in their assessments when their profile is taken as test factor, and the relationship between the instructors’level of sports coaching professionalism and the students’level of sports adaptability were also determined. The questionnaire was administered to a sample of 378 students. The result indicates that instructors exhibited a high level of sports coaching professionalism as assessed by the student respondents. And students exhibited a high level of sports adaptability based on their own assessment. Moreover, the result indicates that the level of sports coaching professionalism of instructors in terms of specialized training, exclusivity, adherence to a code of ethics, acquisition of specific credentials, and coach-student relationships were found to be significantly correlated to a very high degree with the students’level of sports adaptability specifically in terms of environmental adaptability, practice adaptability, perceptual-cognitive skills, and psychological resilience. This is taken to mean that the level of sports coaching professionalism of instructors can have a great impact on the students’level of sports adaptability. The findings of this study helped the researcher on the proposed development plan to further enhance the role of professional sports coaching in improving sports adaptability among the students.
Influencing Factors and Coping Strategies of Women's Fertility Intention under the Guidance of China's Development Policy
Authors: Bi Meiyang
Published: June 2024

With the rapid development of China's social economy, people's living standards continue to improve. However, the willingness to have children has shown a downward trend, and the fertility rate has also declined. This phenomenon has attracted widespread attention from all sectors of society. This study aims to conduct an in-depth analysis of the influencing factors of women's fertility intentions under policy guidance. A questionnaire survey was conducted to investigate and analyze the current influencing factors of women's fertility intentions. Research has shown that policy orientation significantly affects women's reproductive decisions. Individual factors such as age, education level, and occupation, as well as family factors such as family income and place of residence, are closely related to fertility intentions. The dissemination channels of the fertility policy affect women's understanding of the policy, which in turn affects fertility decision-making. Obstacles in career development also affect women's consideration of childbirth. The social environment, especially family support, has a significant impact on women's reproductive decisions. Meanwhile, the balance between family and career is also an important factor affecting women's willingness to have children. Based on this, this article suggests further optimization and adjustment of the current fertility policy, such as improving maternity leave benefits, introducing flexible work arrangements, providing career development support, supporting fertility assistance services, and breaking workplace discrimination, to better meet the diverse fertility needs of women and promote sustainable social development.
Preface: 2nd International Conference on Algorithms, Mathematical Modeling and Machinery Processing (AMMMP 2024)
Authors: Zheng Jing , Antoinette Barlow
Published: June 2024

We sincerely invite you to participate in the 2024 2nd International Conference on Algorithms, Mathematical Modeling and Machinery Processing (AMMMP 2024). This conference was successfully held in Mumbai, India during March 23-24, 2024 for researchers, engineers, etc. on topics related to algorithmic intelligence, mathematical modeling, computer simulation, control technology, and machinery processing.
AMMMP 2024 aims to elaborate basic and applied researches from all over the world. As our theme for this conference, we encourage researchers to present their researches on algorithms and mathematical modeling. The participants attending this two-day conference reach 50 people. We design that the participants can present their work either in oral or poster types. Furthermore, the crucial factor for AMMMP 2024 is that we facilitate the works from the participants that can be published at a journal with the peer-reviewed process.
We have worked hard to process all accepted manuscripts reviewed by professionals and experts in related science fields. At least, one manuscript is under reviewed by two reviewers, and the handling editor decided whether a manuscript can be accepted or rejected mainly based on the reviewer's comments.
With best regards,
Technical Program Committees of AMMMP
Mumbai, India
The Effects of Crossfit Training Program on Promoting Physical Fitness Towards a Training Program for Guangdong University Basketball League Players
Authors: Cui Libao
Published: June 2024

In this paper, 20 basketball players from each of the three universities who participated in the Guangdong University Basketball League, total 60 persons, were used as experimental subjects. Each university was divided into an experimental group of 10 players and a control group of 10 players for a 12-week comparison experiment. The experimental group was trained using CrossFit program and the control group was trained using traditional physical training methods. The six indexes of body shape, strength, speed, endurance, flexibility and agility were taken as the physical fitness evaluation indexes, and the corresponding test items were body fat percentage, standing long jump, bench press, squat, deadliftl, 3/4 full-court sprint run, 15×17 folding run, 3000 meters run, seated body flexion, and T-word agility test, a total of 10 test items. The data collected before and after the 12 weeks of training were statistically and analytically analysed through the use of EXCEL and SPSS26.0 software. To explore the effects of CrossFit training on athletes' physical fitness relative to traditional physical training. The purpose of the study is to combine CrossFit training with the characteristics of basketball, arrange and design a targeted training program, and help athletes of the Guangdong University Basketball League to improve their physical fitness and performance on the basketball court through scientific training means and methods. Conclusion: Before the CrossFit training program, there is no significant difference in the physical fitness index scores of body shape, strength, speed, endurance, flexibility and sensitivity between the control group and the experimental group, There is no significant difference between the physical status of the control group and the experimental group before the CrossFit training program; After the CrossFit training program, there are significant differences between the control group and the experimental group in terms of body shape, strength, speed, endurance. There were no significant differences in flexibility and sensitivity, but the experimental group improved more than the control group. There is a significant difference between the physical status of the control group and the experimental group after the CrossFit training program; There is no significant difference in the physical status of the control group before and after the experiment. There is a significant difference in the physical status of the experimental group before and after CrossFit training. CrossFit training program is more suitable for improving the physical fitness of college basketball players in Guangdong Province.
A Study of the Effects of Narrow Reading on Incidental English Vocabulary Acquisition
Authors: Qin Ximan
Published: June 2024

The study investigates incidental vocabulary acquisition during English natural reading through empirical research. First-year English major students from a university were selected as participants. They were tasked with reading simplified adaptations of Jane Austen's classic novels after class, divided into Groups A and B (Group A engaged in narrow reading, while Group B engaged in extensive reading). Both groups underwent vocabulary tests before and after the experiment. Through data analysis, this study reveals the impact of narrow reading and extensive reading on vocabulary acquisition when reading English simplified novels, as well as whether there are differences between extensive reading and narrow reading during the reading process. The conclusions of this research have implications for developing effective strategies for extracurricular English reading and fostering complete vocabulary acquisition among students.
Discussion on the Construction of SWPU Smart Library Evaluation Indicator System
Authors: Xu Yihan , Dai Yunjie
Published: June 2024

With the rapid development of information technology, especially the wide application of artificial intelligence, big data and cloud computing and other technologies, the management mode of libraries is also undergoing a profound change. From the traditional management mode based on paper books, it is gradually transformed into a smart library mode characterized by digitization and intelligence. In this context, the construction of SWPU smart library has become an important issue. In order to ensure that the construction of SWPU smart library can keep pace with the times and meet the needs of teachers and students, this paper adopts the Delphi method to construct the evaluation indexes as well as the weights of the indexes, aiming to provide scientific and reasonable guidance for the construction level of SWPU smart library. In this paper, we first determined the evaluation index system of SWPU smart library, including smart technology and facilities, smart resources, smart services and other aspects. Then, we invited experts in the fields of library management and information technology to evaluate these indicators and their weights using the Delphi method. Through several rounds of solicitation and feedback, the experts reached a relatively unanimous opinion on the evaluation indicators and their weights of SWPU's smart libraries. On this basis, we conducted a comprehensive evaluation of the construction level of SWPU Smart Library and put forward corresponding suggestions for improvement. These suggestions will provide strong support for the future development of SWPU Smart Library so that it can better serve the students and faculty and promote the development of university education.
Construction of Urban Black and Odorous Water Remote Sensing Recognition Model Based on Feature Band
Authors: Wang Zepei
Published: June 2024

In recent years, with the rapid development of urban and rural areas in China, the discharge of industrial wastewater and household sewage has increased greatly, which has been directly discharged into pits and rivers, causing serious pollution of these bodies of water.In this study, the sampling points were first divided into black and odorous water bodies and general water bodies. Combined with remote sensing images, the best threshold value of the most effective feature bands in the classification of the study area was explored through the threshold method, and the accuracy performance of different feature bands in the classification process was comprehensively evaluated.In the algorithm of black and odorous water body identification based on characteristic bands, the thresholds of the single-band method, the difference method of black and odorous water body and the slope index of black and odorous water body in the experimental area of Nanning are 0.0186, 0.004 and 0.007 respectively. These three algorithms are used as thresholds to distinguish black and odorous water bodies from ordinary water bodies. The normalized black and odorous water index model determines that the range of black and odorous water is 0.007-0.137.
Research on the Development of International Functions in the Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Guo Yafang , Liu Jingxian , Chen Yuehuan , Zhang Shuaibing
Published: June 2024

International function refers to the system of urban functionalities that transcend national boundaries and exert a distributive, radiating, and influential role globally in the fields of economics, hubs, culture, communication, and services. The Guangdong-Hong Kong-Macao Greater Bay Area, one of the most open and economically vibrant regions in China, holds a significant strategic position in the national development framework. The development of international functions in the Greater Bay Area bears considerable strategic value to the nation's advancement. This research analyzes the development of the international functions in the Greater Bay Area from the perspectives of international economy, international hubs, international communication and culture, and international services. It explores new ideas for the development and layout of international functions under the backdrop of international cooperation and exchange, contributing to the refinement of the theoretical system and development models of international functions. Moreover, it offers significant reference value for the construction of international bay urban areas and world-class urban clusters.
Research on the Operation Mechanism and Coping Strategies of Social Networks in the Ponzi Scheme
Authors: He Xingchen
Published: June 2024

Social network marketing is one of the most mainstream scams today. This kind of fraud deceives many investors, generates negative effects on society, and decreases people’s trust and confidence in the investment. That is the main reason for and importance of tracing the origin of this kind of scam and talking about the Ponzi Scheme. The Ponzi Scheme is a fraud that happened a century ago, and the core method was to promise investors a high-interest rate in a short period of time and use the money of new payers’ money to afford the interests of previous investors. The mechanism sounds simple and not rigorous; however, this fraud received a successful consequence and became the origin of today’s form of fraud. This form of fraud with high profits is still very popular based on the nature of people’s greed. This passage aims to introduce the relationship between social networks and the conducting of the Ponzi scheme. Also, a discussion about how people reveal and prevent the traps of that kind of fraud is included. This study shows that the model of social networks in the Ponzi Scheme is a star network, and there is a hierarchy in this model. Also, the passage concludes with suggestions for the government, firms, and individuals.
Oppression and Females’ Defending in the Devil Wears Prada
Authors: Wang Yibo
Published: June 2024

Although the film industry has improved in terms of portraying female characters since the 1960s, there are still issues visible to the public, and one is the hidden objectification of females in supposedly feminist movies. Another popular opinion recently, especially on Chinese social media platforms, is that fashion acts as a tool of the patriarchy to force the male gaze onto women. However, this paper intends to discuss how the fashion industry acts as a non-patriarchal field that provides opportunities for females in terms of improving themselves. The movie, The Devil Wears Prada, will be analyzed as an example to explain how the fashion industry, in this movie, does not consist of the male gaze and propels the main character’s growth. The approaches used in this paper are Laura Mulvey’s gaze theory and analyzing specific scenes in the movie, The Devil Wears Prada. The scenes will be analyzed using the apparatus theory in films, explaining how the different types of shots influence the message conveyed in the movie. In conclusion, this paper reveals that even a feminist film like The Devil Wears Prada contains various circumstances of the male gaze; however, these circumstances of the male gaze influencing women do not appear because of the fashion industry, and consequently, the fashion industry should not be disapproved as a source of the male gaze, as it provides opportunities for women to improve themselves in terms of their career and wellbeing.
Pre-training CNN model Several Methods of Comparative Analysis
Authors: Hu Jun
Published: June 2024

In recent years, the rapid evolution of neural networks, exemplified by models such as VGG and GoogLeNet, has reshaped the landscape of artificial intelligence. This comparative exploration, focusing on transfer learning and attention mechanisms, not only reveals subtle performance distinctions but also provides crucial insights for refining these models in practical applications. This paper delves into the comparative analysis of two prominent neural network models, VGG and GoogLeNet, within the context of image classification. VGG, known for its deep structure, and GoogLeNet, incorporating innovative inception modules, are evaluated through experiments involving flower image datasets. The study includes transfer learning and explores the integration of attention mechanisms, specifically CBAM attention, into both models. Results indicate GoogLeNet's superior performance in terms of parameter efficiency, convergence speed, and overall accuracy. Furthermore, the addition of attention mechanisms enhances classification accuracy for both models. The paper concludes with insights into potential areas for further research, emphasizing optimal attention mechanism placement and a comparison with traditional methods in future studies.
The Effectiveness of a Role-Play Activity in Practicing EFL Learner’s Communicative Skills
Authors: Yang Qi
Published: June 2024

Traditional language teaching methods have emphasized grammar and vocabulary acquisition; the development of learners' communicative skills has often been overlooked. As language educators strive to create dynamic and interactive learning environments, incorporating effective teaching techniques that promote authentic communication becomes imperative. This paper refers to many literature materials by means of the search of Know net to explore the effectiveness of a role-play activity in enhancing EFL learners' communicative skills.
Analysis of CCER Policy Application in the New Energy Vehicle Industry
Authors: Liang Meixi
Published: June 2024

As China's economy is booming, the issue of carbon emissions is becoming increasingly prominent. In terms of policy, China has established a domestic CCER mechanism to improve the carbon trading market, and the future development of CCER policy has received much attention, but there are still deficiencies in synergistic development with specific industrial sectors. This paper explains the CCER restart process based on the progressive policy model, through the analysis of energy type suitability, the future development path of new energy vehicles, and the existing CCER methodology, combined with the example of the development of new energy vehicle industry in Guiyang City, Guizhou Province, effectively demonstrates the suitability of new energy automobile industry and renewable energy CCER projects, and explores the combination of the two. It also explores the path of "light storage, charging and discharging", and then puts forward the following suggestions for CCER policy development: improve the policy content and strengthen the policy synergy.
Reasons For Impulsive Buying Behavior Among Adolescents in The Digital Age
Authors: Huang Jiayi
Published: June 2024

The purpose of this study is to investigate the factors that contribute to impulsive purchasing behaviors experienced by adolescents and to determine the factors that have an impact on those behaviors. These behaviors are connected to a lack of financial literacy and social experience, as well as the allure of luxury spending and the influence of digital media, according to the findings. A lack of social experience is also connected to these behaviors. These behaviors are also linked to a lack of social experience, which is another factor. Because of this, the significance of regulating commercial strategies on social media platforms in order to encourage responsible spending habits among young people has been brought to light. This is because of the fact that this has brought to light the importance of this. In addition to this, it emphasizes the significance of providing parents with comprehensive education and guidance in matters that pertain to matters that are related to finances.
Research on the Influencing Factors that affecting Female Diabetes
Authors: Li Yuchen
Published: June 2024

This paper provides an in-depth look at diabetes as a growing public health problem among women in light of globalization and lifestyle changes. Diabetes mellitus encompasses a collection of metabolic conditions marked by elevated blood glucose levels following a fasting period, typically resulting from inadequate insulin function or reduced sensitivity to insulin within the body. As per the International Diabetes Federation (IDF), the projected global population living with diabetes in 2011 was approximately 366 million. The IDF's projections indicate a potential increase to 522 million by 2030. This substantial escalation not only signifies the persistent rise in diabetes prevalence on a global scale, but also emphasizes the critical need for efficacious preventive interventions and diabetes management strategies. The prevalence of diabetes among women is not only high but rising, and there are significant gender differences in disease management and the probability of complications. The unique risks of diabetes in women include an increased risk of heart disease, stroke, kidney disease, and polycystic ovary syndrome. These complications further affect women's health and quality of life. In order to better understand the factors affecting diabetes in women, we conducted an in-depth analysis of relevant data using R language, focusing on Pima Indian women aged 21 to 81 years. The data set used in the study, the Diabetes Dataset, contained 768 observations and nine variables, all of which were Pima Indian women. This paper uses the logistic regression method to analyze these variables. The findings suggest that diabetes spectrum function is the most significant factor affecting diabetes risk in this population. This study is of great value to academic research and has far-reaching implications for formulating public health policies and optimizing clinical treatment guidelines.
Impact of top executive salary incentive on the quality of environmental information disclosure
Authors: Wei Yijing , Dou Yongjie , Wang Hao
Published: June 2024

The influence of top executive salary incentive on the quality of enterprise environmental information disclosure has not yet been given a clear answer. The article chooses Chinese A-share listed companies from 2011 to 2021 as study samples and empirically analyzes the result of top executive salary incentive on environmental disclosure quality. The research results indicate that top executive salary incentive is beneficial for improving the level of environmental information disclosure. Furthermore, the article uses heterogeneity analysis and moderating effect to analyze the research conclusion. Meanwhile, the level of accrued management was also used as a mediating variable for mechanism analysis, revealing its mediating role between top executive salary incentive and the level of enterprise environmental information disclosure. The research conclusion of this paper not only enriches the research on enterprise environmental information disclosure and top executive salary incentive but also provides relevant policy recommendations for relevant departments, assisting the enterprise management in providing support for decision-making on the level of environmental information disclosure.
Investigation into the Profitability Strategies of Shared Sheet Metal Spray Centers
Authors: Tian Sai , Lv Zhaoyang
Published: June 2024

With the introduction of regulations such as the "Decision of the Ministry of Transport on Amending the Regulations on the Administration of Motor Vehicle Maintenance" in China, the government's environmental requirements for the traditional automotive repair industry have been continuously increasing. The spray painting and sheet metal repair business, which has a significant environmental impact, has gradually evolved into modern, intensive, and specialized shared sheet metal spray centers. While domestic scholars have paid some attention to the social and environmental benefits of shared sheet metal spray centers, there is a lack of systematic research on their profit models. This paper investigates the current state of shared sheet metal spray centers by analyzing the development of the spray painting and sheet metal repair industry, comparing the profit models of other sharing economy sectors vertically, and integrating the value chain theory to sort out the profit strategies of shared sheet metal spray centers. The aim is to provide theoretical reference for spray and sheet metal repair operators to promote the healthy development of shared sheet metal spray centers.
Exploration and Prediction of Factors Influencing Athlete Momentum in Tennis Matches
Authors: An Zihan , Du Jiaxu , Li Dinggen
Published: June 2024

In the field of sports competition, the momentum fluctuation of athletes in a match has an important impact on the final performance, especially in a high-intensity confrontational sport such as tennis. In this paper, based on the men's singles data of the 2023 Wimbledon Tennis Championships, a prediction model based on a decision tree and a BP neural network was established to analyze the momentum and fluctuation of athletes in a match. This study contributes to an in-depth understanding of athletes' performance during matches and provides a scientific basis for their training and tactical adjustments.
The Impact of Chinese CEOs' Facial Aesthetics on Their Compensation
Authors: Fan Ziye , Zhang Yike
Published: June 2024

Much of the psychological and sociological literature has shown that beauty plays a role in the workplace. Does this apply to CEOs and affect their compensation? This study uses the term facial aesthetics to measure CEO beauty. Facial attractiveness and facial maturity are two important components of facial aesthetics. This paper summarizes three methods. The first method uses the ResNet50 deep convolutional neural network, using ImageNet data, which is applied to a variety of image processing tasks. The second method is Three-Dimensional Stereo-Photogrammetry using in major contemporary studies of facial soft-tissue attractiveness. The third approach is the Visual Analogue Scales, the validity of which is also well supported by empirical data, including in terms of test-retest and interrater reliability. The results show that both facial attractiveness and facial maturity have an impact on CEO compensation. Black CEOs with baby faces have higher pay and status than those with more mature faces. CEOs who are more physically attractive are paid more than their less attractive counterparts. However, there is little research on this aspect at present. Like facial maturity, only black CEOs and their pay have been studied, but for the rest of the population, the results are unknown. And, due to the cultural differences, each race also has aesthetic differences.
Assessing the Development Level of the Digital Economy Using Fuzzy Comprehensive Evaluation: A Comparative Study of the Yangtze River Delta and Kyushu Region
Authors: Chen Hongyu
Published: June 2024

In the context of economic development, the role of the digital economy is increasingly prominent. To deeply understand this phenomenon, this paper constructs a digital economy development evaluation model and applies the Analytic Hierarchy Process (AHP) to assign weights to 15 key indicators. Furthermore, the Fuzzy Comprehensive Evaluation Method is used to measure and compare the development of the digital economy in the three provinces and one city of the Yangtze River Delta in China and nine counties of the Kyushu area in Japan. The results show that Shanghai and Zhejiang provinces have the most outstanding performance in digital economy development, while Miyazaki Prefecture is relatively lagging. Based on these findings, this paper proposes to focus on the growth rate of patent numbers and strengthen the construction of innovative entrepreneurial ecosystems as recommendations to provide useful references for the future development of the digital economy.
Research on UQ Problem Based on Feynman–Kac Formula and Neural Network
Authors: Zhang Yihang , Wang Jiaxi , Zhao Jie
Published: June 2024

A high-dimensional adaptation method of neural network regression to obtain the expected mean solution of the uncertainty quantification problem based on Monte Carlo simulation and the Feynman-Kac formula is presented. In the numerical tests, by the Feynman-Kac formula, the numerical solution on each given point is obtained by rectangle method. Polynomial and neural network regression of different dimensions lead to obtain the expected mean solution of the UQ problem. This thesis illustrates that neural network are more conducive to high-dimensional problems. This thesis analyzes the effects of time step, simulation frequency, generations, hidden layers, and learning rate on the convergence by drawing convergence graphs.
A Corpus-based Investigation on the English Majors’ Use of Cohesive Devices in Argumentative Writing
Authors: Zhou Xinru
Published: June 2024

Many factors affect the quality of English writing. Among them, the cohesion of discourse has been an important topic in writing research. This study aims to investigate the use of local, global, and text cohesion features in Chinese English majors’ argumentative writing and how EFL learners of higher proficiency (Grade 4) develop their written discourse competence as compared with the lower proficiency (Grade 1). The Written English Corpus of Chinese Learners (WECCL 2.0) was adopted as the main corpus. The research finds that connectives and lexical overlaps are more frequently used in English writing, and a tiny minority of cohesive devices showed growth across the two grade levels. The findings provide important insights for researchers and teachers on second language acquisition, English writing development and English writing teaching.
Metasynthesis of Strategies Mode for Activating Higher Order Thinking Skills (HOTs) of University Students
Authors: Cheng Kun , Singh Charanjit Kaur Swaran
Published: June 2024

Countries around the world are increasingly emphasizing the research and cultivation of higher-order thinking abilities, and have proposed various teaching strategies and methods. Researchers have developed various methods, strategies, and related activities to cultivate higher-order thinking in response to this issue, such as "scaffolding teaching", "heuristic teaching", "project-based teaching", "building collaborative learning", and "diverse evaluation feedback". However, current research on teaching strategies mostly focuses on methodology or teaching principles, lacking a teaching strategy model to guide teachers in specific teaching processes and designs. This study conducted a comprehensive integration of previous scientific research, aiming to summarize the strategic models for activating college students' HOTs in the past three years. By using Scopus, Science Direct, and Springer search agents for in-depth filtering, a total of 6 articles were selected. Data screening, evaluation, and CBA use two keywords, and the article is published from around 2020 to 2023. The research results indicate that in addition to the aforementioned teaching strategies, some emerging teaching models are also being widely explored and applied. The flipped learning teaching model shifts the knowledge imparted in the classroom to independent learning after class, while using classroom time to guide students in discussions and practice. Smart classrooms utilize modern technological means to provide a highly interactive and personalized learning environment. The blended learning model combines online and offline learning, fully utilizing the advantages of technology. The evidence-based teaching method emphasizes guiding teaching decisions and practices through scientific research and empirical data. These teaching strategies can effectively improve the higher-order thinking ability of college students. Therefore, integrated research has investigated some specific methods and strategy models for activating higher-order thinking skills among college students in recent years. These methods and strategy models are of great significance to educational practitioners and can provide reference for the teaching of HOTs.
The Impact of Fintech on China's Corporate Financing Constraints - Analysis based on the perspective of enterprise life cycle
Authors: Zhang Xinmeng
Published: June 2024

SMEs, as the cornerstone of the real economy, face greater financing difficulties in accessing traditional financial services, which constrains their further development. In recent years, with the rapid development of the digital economy and the continuous innovation of financial technology, new ideas and solutions have been provided to solve the financing difficulties of SMEs. This paper uses the financial and related data of A-share listed companies from 2010-2022 to construct a regression model and a moderating effect model, which are used to analyse the impact of fintech on financing constraints and the moderating role of life cycle in it. The findings of the study show that, on the whole, fintech significantly alleviates the financing constraints of Chinese enterprises, and the degree of financing constraints varies with the life cycle of the enterprises; further analysis of the moderating effect reveals that the life cycle of the enterprises in the growth and decline periods will play a positive moderating role in the financing constraints of the enterprises affected by fintech. After analysing the heterogeneity, it is found that the development of fintech in the eastern region has a stronger role in alleviating the financing constraints of SMEs, and the role of fintech in alleviating the financing constraints of enterprises with a low degree of science and technology is better than that of enterprises with high technology.
The Role of Graffiti Art as a Medium in Shaping Urban Image: A Case Study of Beijing 798 Art District
Authors: Zhang Zhiyan
Published: June 2024

Graffiti art in Beijing has undergone prolonged development and evolution, narrating the diverse stories of the city and presenting a more varied image of Beijing. This study selects the graffiti art hub, the 798 Art District in Beijing, and employs spatial production theory and interactive ritual chain theory to deeply analyze the crucial role of graffiti art in disseminating the urban image of Beijing and the specific images it sculpts. Through the application of spatial production theory, we specifically explore the layout, positioning, and display modes of graffiti in the urban environment, as well as the potential impact of these factors on the perception and shaping of the urban image. Building upon this foundation, interactive ritual chain theory is utilized to investigate the interactive processes between the audience and graffiti, revealing how such interactions guide, influence, and co-construct the cognitive representation of the urban image.
Potential Customer Prediction of Telecom Marketing based on Machine Learning
Authors: Dong Yuxin
Published: June 2024

Telemarketing has an important application in commercial promotion, and blind product recommendation has a high failure rate. However, product recommendation to potential users can effectively reduce marketing costs and increase revenue. In this paper, 41,188 data on telemarketing from a Portuguese banking institution are selected with the classification objective of predicting whether a customer will subscribe to a time deposit account or not. The paper first preprocesses the data to fill in missing data. Secondly, this paper describes the four models used in this paper: Logistic Regression, K-Nearest Neighbor, Decision Tree and Random Forest Classifier. As well as the five-assessment metrics used to evaluate these models: accuracy, AUC value, KS value, model lift and profit. In the experimental stage, this paper uses the above four models to predict the effectiveness of bank telemarketing. And the five evaluation indexes are combined to judge the prediction effect of the models. The results show that Decision Tree and Random Forest Classifier have better prediction effect.
Synchronous Development Strategy of China’s New Four Modernizations: Theoretical Connotation and Current Development Status
Authors: Li Yang , Azam S. M. Ferdous , Li Xianghui
Published: June 2024

The Chinese government has proposed a synchronous development strategy for new urbanization, industrialization, informatization, and agricultural modernization (called “New Four Modernization,” NFM), which provides a crucial choice for solving China's current social contradictions, such as the irrational industrial structure, large urban-rural gap and environmental pollution. Firstly, this study focuses on elucidating the conceptual connotations of China's NFM. Secondly, this study systematically analyzes the theoretical foundation of China's NFM synchronous development strategy for the first time, providing a theoretical evidence for China's NFM synchronous development strategy. Lastly, this study analyzed the current development status of China's NFM, finding that China's new urbanization, industrialization, informatization, and agricultural modernization are developing steadily and synchronously. Therefore, this study contributes to a correct understanding of the theoretical connotation and current development status of China's NFM synchronous development strategy.
The Impact of Digital Transformation on International Trade Based on Big Data Analysis Models and Threshold Effects
Authors: Wang Shanru
Published: June 2024

Currently, the world is experiencing a wave of digitalization, and the digital economy has become a significant engine for the growth of import and export trade. This paper deeply analyzes the impact of the digital economy on import and export trade from dimensions such as technology, society, and institutions. Based on panel data from 42 cities in China’s three major urban clusters (the Yangtze River Delta, the Pearl River Delta, and the Beijing-Tianjin-Hebei region) from 2011 to 2021, using the mediation effect model, threshold effect model, and K-means clustering algorithm, it examines the impact of digital economic development on import and export trade and its transmission mechanism. The research findings indicate that the development of the digital economy significantly promotes import and export trade; the level of technological innovation plays a mediating role in the relationship between digital economic development and import and export trade; there is a single threshold positive promotion effect of technological innovation level in the process of digital economic development affecting import and export trade; the degree of urbanization exhibits a single threshold effect in the process of digital economic development affecting import and export trade, specifically transitioning from inhibiting to promoting effects once the threshold value of urbanization is surpassed. Furthermore, there is a certain regional heterogeneity in the above conclusions among the three major urban clusters. The research results have certain guiding significance for optimizing the structure of foreign trade, promoting high-quality development of import and export trade, and achieving high-level economic and social development.
Assessment for Learning (AFL) and its Effect on University Students Public Physical Education Program
Authors: Mu Yuhong
Published: June 2024

This study aims to explore the implementation of public physical education courses in universities in western Guangdong Province, China, as well as the learning effect and feelings of students in physical education courses, so as to improve the ability of teaching public physical education courses and the physical quality of students' physical education courses. This paper used questionnaire survey and SPSS statistics to survey non-PE students from three universities in Zhanjiang, Guangdong Province, Results Summary:1. The demographic profile of students reveals a predominance of male freshmen, mostly below 21 years old, and primarily enrolled in arts, design, and language courses. This suggests specific implications for learning applications that ultimately enhance student outcomes. 2. Physical education courses demonstrate a high manifestation of domains related to Assessment for Learning (AFL) in teaching public physical education courses. 3. Significant differences exist in goal clarification, creative scaffolding, and process experiences, emphasizing the need for demographic evaluation to ensure inclusivity and fairness. 4. Learning effects are influenced by assessment for learning schemes, underscoring their importance in accommodating diverse demands. 5. Learning effects encompass sense of cooperation, sense of competitiveness, and psychological well-being, all crucial in accommodating authentic activities. 6. There is a close and direct association between assessment for learning and the domains of effects on learning in physical education courses, contributing to improved student performance.  Recommendations: 1. Provide support for academic activities among students to enhance equity and equal opportunities, catering to diverse demographic profiles. 2. Offer training integrated with technologies to explore their potential for further development. 3. Provide varied activities designed to empower individual preferences.