bluuebunny/crossref_metadata_2025 huggingface dataset:
The Beamline Layout Design Based on the Mathematical Model for Different Water Terrain
Authors: Wang Yuechen , Liu Jingyan , Hao Xiaorun
Published: June 2024

Multi-beam sounding is one of the important components of marine surveying. For different water terrain, if the line layout scheme can be reasonably formulated according to the principle of multi-beam sounding, it can greatly improve the sounding efficiency and reduce the loss of manpower, material resources and time while ensuring the accuracy of the sounding results.Based on the different water terrain, the definition of overlap rate and the calculation method in simple cases are given first.For the water with flat bottom terrain, the main selection of isobath, control different spacing and Angle to meet the overlap rate requirements as much as possible.For waters with relatively rugged and changeable underwater terrain, the water area is first rationally divided into several sub-areas, in which the underwater depth and slope change little. Then, the plane fitting is carried out for each sub-area, and the wiring idea of flat underwater terrain is adopted for wiring. For two adjacent areas with similar water depth, the water area is divided into several sub-areas.The starting end of the survey line in the latter area should be made to coincide with the end end of the survey line in the previous area. For the calculation of the coincidence rate, the data points at each depth of the bottom are iterated several times to determine whether they are in the overlapping part of the measurement area of the two survey lines, so as to arrange the multi-beam survey line as far as possible to meet the corresponding requirements.
Analysis of the Impact of ESG on Financial Performance
Authors: Li Yucheng
Published: June 2024

With the development of the economy and society, the relationship between enterprises and the environment has received widespread attention. In the context of the deeply rooted concept of sustainable development, the relationship between ESG and corporate financial performance has become a focus of current financial research. Therefore, this article collected relevant data on the S&P 500 index and ESG for in-depth research. Specifically, financial data includes stock returns, P/E ratios, and earnings per share, while ESG data includes ESG risk ratings and ESG controversies. The empirical results indicate that, firstly, there is no significant correlation between ESG performance and returns; Secondly, there is a significant negative correlation between ESG and PE and EPS. The relevant results of this study have played a certain auxiliary role in deepening the understanding of the relationship between ESG and corporate financial performance.
Research and Practice on Ideological and Political Construction of Computer Foundation
Authors: Yang Liangtao
Published: June 2024

Computer foundation in universities are general courses for non-computer majors. Carrying out ideological and political construction in general courses is an important way for universities to fulfill the fundamental task of cultivating morality and cultivating talents. This paper explores and reflects on the theoretical research and teaching practice of curriculum ideological and political education from four aspects: enhancing teachers' educational and teaching concepts, emphasizing the development of curriculum ideological and political content, innovating curriculum ideological and political teaching methods, and improving the evaluation system of curriculum ideological and political teaching effectiveness. The aim is to provide reference for the promotion and popularization of curriculum ideological and political education in general courses.
Integrating Machine Learning Techniques for Real Estate Analysis
Authors: Chen Zekun
Published: June 2024

Machine learning can be applied to prediction models. The study delved into house price prediction, an area of significance to both individual participants and policymakers within and beyond the real estate market. The advanced predictive model is a tool that informs quality decision-making. This study synthesizes and builds on existing research to implement and enhance house price prediction methods, assessing the performance of Convolutional Neural Networks (CNNs), Decision Trees, and K-Nearest Neighbors (KNN) which is of focus on Most Correlated Features (KNN-MCF). Although these techniques have been developed and refined over the years, they still face challenges such as overfitting, noises existing in the dataset, and the complexity of modeling both linear and non-linear relationships. By integrating the resources, the study aims to provide objective guides for addressing the common challenges and predicting house prices, illustrating the appropriate analytical methods to apply based on characteristics of a database, extra space for improvements, and critical concerns of their practical applications. Ultimately, the research strives to bridge the gap between theoretical models and real-world applications to develop practical tools for reliable house price prediction.
Evaluation of Application Value of mRNA Vaccines
Authors: Chen Shihan
Published: June 2024

With the prevalence of various diseases, there are many newly developed drugs and treatment methods. Vaccine is one of the widely used methods to prevent and treat some diseases including some infectious diseases and cancer. These days, there is a promising research field that has significant therapeutic benefits called messenger RNA vaccine (mRNA). mRNA vaccine has a prominent treatment efficacy which uses mRNA to trigger the immune response of the human body. Currently, the development of the mRNA vaccine has already reached many aspects, especially in treating COVID-19 and pancreatic cancer. At present, although mRNA vaccines have significant advantages over other vaccines, there are still some gaps in their side effects and development prospects. This review summarizes the current application of the mRNA vaccine and evaluates its efficacy and future development in order to have a comprehensive understanding of the current situation and a clear plan for future research and how to solve some tough issues.
The Construction of International Communication Discourse System from the Perspective of Media
Authors: Chen Tianyi
Published: June 2024

With the aim of showing a true, three-dimensional and comprehensive China, eliminating the inherent prejudice and misunderstanding in the West, and enhancing the recognition of the international community to China, we will explore the construction of an international communication discourse system in the perspective of media. Firstly, it analyzes the requirements of the times faced by the international communication discourse system under the current international situation; Secondly, it further analyzes the problems existing in the process of international communication discourse system and the principles of problem generation; Then according to the problems it faces and the causes of the problems, it analyzes the future development direction of the international communication discourse system with the help of there-media path; Finally, the paper puts forward strategies such as systematic arrangement, scientific research and highlighting innovation in the construction of international communication discourse system from the perspective of integrated media.
Comparison of CNN and ResNet Neural Networks on the Performance of Facial Expression Recognition
Authors: Gao Zhiming
Published: June 2024

Facial expression recognition is a crucial task in numerous applications, including human-computer interaction, mental health monitoring, and human behavior analysis. Previous studies have primarily focused on individual models or techniques for improving emotion classification accuracy. However, a comparative analysis of different neural network architectures' performance for facial expression recognition is lacking. The main objective of this study is to compare the performance of Convolutional Neural Network (CNN) and Residual Network (ResNet) on the Fer2013 dataset. The author aims to analyze their behavior during the initial training phases and identify the architectural advantages and challenges associated with each model. Both models are trained using the same experimental setup to ensure a fair comparison. The models are trained using the Fer2013 dataset. The author employs a standard protocol for data preprocessing and augmentation. Results show that CNN achieves an accuracy of around 0.5 in the initial stages of training, which is significantly higher than ResNet's accuracy of 0.25. However, as training progresses, ResNet may outperform CNN because it has a more complicated structure that can capture more complex patterns. CNN exhibits superior performance during the initial training stage of the Fer2013 dataset. This reason may lie behind the fact that CNN has a simpler structure which makes it more sensitive on the basic features of the data.
Analysis Of Decision-Making Mechanism for Pricing and Replenishment of Vegetable Commodities Based on Least Squares And ARIMA
Authors: Li Hongyi , Shi Yunpeng , Kang Shitong , Kang Shitong
Published: June 2024

This study provides an in-depth study of automatic pricing and replenishment decision-making mechanisms for vegetable commodities based on the relevant data provided. In the research process, firstly, the data were carried out for pre-processing. Secondly, a one-way linear regression model was developed using the least squares method to investigate the relationship between sales volume and cost-plus pricing for each category. The resulting one-dimensional linear regression equations were well fitted, with goodness of fit R2 greater than 0.6. Then, based on the data characteristics of the different categories, appropriate values of q, d and p were selected and a time series (ARIMA) model was built to predict the wholesale price of each category in the coming week. With the final superstore profit as the objective function and the total daily replenishment as the decision variable, an optimization model was constructed for determining the daily replenishment and pricing strategy of each category, and a sensitivity analysis of the model was conducted.
A New SVAR Model Based on Standardized Standard Asymmetric Exponential Power Distribution
Authors: Long Tianyu
Published: June 2024

This paper introduces a novel Structural Vector Autoregressive (SVAR) model incorporating non-Normal marginal errors described by the Standardized Standard Asymmetric Exponential Power Distribution (SSAEPD). This innovation allows the model to effectively capture the inherent skewness and kurtosis typically observed in financial data. Utilizing Markov Chain Monte Carlo (MCMC) techniques for simulating error terms and Maximum Likelihood Estimation (MLE) for parameter estimation in MATLAB, the model's robustness is significantly enhanced. We employ Impulse-Response Function (IRF) and Variance Decomposition (VD) for structural analysis to examine the relevance of classic Keynesian theory in today's US economic context. Our empirical findings suggest that the SSAEPD-enhanced SVAR model not only outperforms traditional SVAR models in capturing data characteristics but also aligns more closely with Keynesian principles. The results underscore the continued applicability of the IS-LM framework in understanding contemporary economic dynamics, demonstrating the model's superior performance in variance decomposition and structural analysis.
Research on Energy and Mass Integration of Green Electricity Hydrogen Production and Ammonia Synthesis
Authors: Ding Zequn , Zhu Hongqing , Bai Zhigang , Zhou Weiye
Published: June 2024

As we strive to attain "dual carbon goals," the chemical industry faces an immediate imperative to diminish its carbon emissions. Leveraging renewable energy to generate green hydrogen via water electrolysis for ammonia synthesis has emerged as a significant pathway towards the industry's green transformation—this not only effectively utilizes new energy but also promotes sustainable development. However, such an interconnected system encompasses a multitude of intricate processes, ranging from thermochemistry and electrochemistry to power cycles, each with varying energy input and output grades. The study seeks to elucidate the synergistic interplay of energy conversion and energy-mass exchange across these diverse processes within the integrated system. It necessitates solving optimization issues related to energy usage and heat exchange. By delving into the intricacies of the coupled system, we aim to uncover the fundamental principles and performance evaluation methodologies pertinent to system design. These insights can provide valuable guidance for the real-world application of new energy power-driven hydrogen production and green ammonia synthesis systems. Ultimately, widespread application of these renewable energy practices within the chemical industry will not only contribute to sustainable development but also help in further mitigating carbon emissions.
Study on the Influencing Factors of Regional Logistics on Regional Economy in Shanxi Province
Authors: Li Linna
Published: June 2024

With the acceleration of the pace of Belt and Road construction and the strategic deployment of the high-quality development of China's logistics service industry, the logistics industry has occupied an increasingly important position in the whole national economy and even the world economy. Shanxi Province is rich in coal resources and has a large demand for logistics and freight transportation. Therefore, the economic growth of Shanxi Province has put forward higher requirements for the development and progress of the logistics industry. In this situation and background, the development of regional logistics will be of great help to the progress and growth of the overall industrial economy in Shanxi Province. This paper takes the theory of modern logistics, regional economic growth and regional coordinated development as guidance, and discusses the coordinated development of logistics industry and economic sustainable development in Shanxi Province. Firstly, a series of theoretical analysis on the coordinated development of modern regional logistics, regional economy and the correlation between regional logistics and regional economy with the aid of data analysis software stata and the research results are summarized and summarized, trying to make some suggestions for the sustainable development of logistics and economy in Shanxi Province.
Research on Knowledge Graph Construction Methods for News Domain
Authors: Yang Peiyi , Song Bin , Zhang Zhiyong
Published: June 2024

With the rapid development of the Internet and artificial intelligence technology, massive text data is growing exponentially, and the news industry is generating massive text data every moment. Most of the existing knowledge graphs focus on tourism, healthcare, finance and other fields, while there are relatively few in the news field, which is not well constructed. Aiming at the above problems, this paper firstly devotes to the construction of ontology library in news domain, and precisely defines 8 types of entities and 9 types of relations, which lays a solid foundation for the construction of news knowledge graph. Subsequently, with the help of web crawler technology, we extensively collected news text and image data, and carried out rigorous knowledge cleaning, extraction and fusion processing on these data to ensure the accuracy and completeness of the data. Finally, with the help of Neo4j graph database, the effective storage of news knowledge is realised, and the news domain knowledge graph is successfully constructed. It provides new ideas and means for information mining and utilisation in the news industry, and also provides rich, high-quality data support for downstream applications, which is expected to promote the intelligent development of the news field.
A Study on Replenishment Decision of Vegetable Goods Based on Polynomial Regression and Arima Time Series Forecasting
Authors: Zhao Zikai
Published: June 2024

In a fresh food superstore, the superstore replenishes daily based on the historical sales and demand of vegetable commodities. To formulate the optimal replenishment decision, this paper analyses the sales flow, purchase cost, and loss of a supermarket in a period, and through the use of a variety of models, it can give a reference opinion on the formulation of automatic pricing and replenishment decisions for vegetable commodities. The first text describes the process of analyzing the relationship between total sales volume and cost-plus pricing, including data integration, preprocessing, and multiple regression analysis methods. Through these analyses, a general relationship between total sales volume and merchandise selling price is identified. Univariate linear regression, polynomial regression, random forest regression, and BP neural network regression models were all used to analyze this relationship. The focus is then on the total daily replenishment and pricing strategy for the coming week to maximize the superstore's revenue. The text details the use of ARIMA time series analysis methods, as well as steps for noise reduction and forecasting using Wavelet wavelet functions. Through these methods, the text provides sales forecast results for different vegetable categories for the coming week for the superstore management's reference.
Study on the Impact of Internet Language Use on Young People's Socialization based on MBTI
Authors: Chen Jiahui
Published: June 2024

The source of the birth of network language is related to people's daily life, and hot events on the Internet are its important source. This paper analyzes MBTI theory, online social platforms about MBTI, and MBTI-related user topic analysis to explore the favorable and unfavorable effects of MBTI online language on young people's socialization as represented by it.
Acceptability of Digital Storytelling in Language and Literature Education: An Inquiry Based on Teacher and Student Approval
Authors: Cao Chang
Published: June 2024

Current investigations into the deployment of digital storytelling in Language and Literature education remain insufficient. Interviews with teachers and students reveal that digital storytelling enhances student engagement, fosters diverse competencies, and bolsters independent learning and creativity. Challenges for educators include mastery of technology, allocation of time, and management of learner variability. Learners express enthusiasm for digital storytelling, noting its capacity to enrich classroom engagement and elevate motivation and participation. Recommendations for broader educational adoption include educator training, resource provision, and pedagogical strategy refinement.
Psychological Impact of Campus Football Training among Teenagers: Basis for Training Design
Authors: Tang Zhouxiong
Published: June 2024

Student undergoing football training are exposed to stress. The lack of baseline information on assessing the relationship between profile and psychological impact in terms of sources and symptoms of stress in China led to the conduct of this study.  This quantitative research was utilized a descriptive comparative research design to assess the differences between the psychological impact of campus football training to the profile of the student-respondents . Findings of the study revealed that most of the respondents were between the ages of 17-21 and just over half of the respondents were males. Further, most of the respondents were second year students. Almost half of the student had a moderate level of the sources of stress. Overall, the sources of stress had moderate impact to the students. Majority of the students had a high level of  physical and mental symptoms of stress. In general , age, sex, and year level have no significant relationship with sources of stress and the mental and physical symptoms of stress. In conclusion, age, sex, and year level does not have psychological impact in terms of sources of stress and symptoms of stress. This comes to show that no matter what the person’s age, whether young or old, whether male or female, or whether first year or second year or third year or fourth year, a person can still experience a high level of psychological impact in football training, be it the source of stress or mental and physical symptoms of stress. To address the findings of the study, a football training design was created.
Don’t be a Murder
Authors: Jiang Chenwen , Mao Rui , Chen Zhanglu , Xia Mingyue
Published: June 2024

The goal of this article is using an extremely impactful advertising campaign to impact target audiences’ mind. This advertising campaign aims to raise online healthy awareness of young people. Making them fully aware of the serious consequences of cyber bullying. The higher the social concern of this issue, the more people will concentrate on their behaviors online. This article as an example to demonstrate the advertising campaign is necessary to promote online safety and healthy in Australia.
Exploring the Development Trends of the International Consumer Market Based on Economic Globalization
Authors: Wang Kaiwen
Published: June 2024

It is well-known that international trade is crucial for a country's economic status on the global stage, prompting nations to focus on the development of their trade sectors. Various measures are employed to compete for shares in the international market. For example, some economies, in pursuit of national interests, resort to trade barriers, which impacts the liberalization of trade. Currently, the global economic development trend is unclear, and the international trade environment is becoming increasingly complex with the emergence of new technologies and demands, leading to new trends in international trade. In this context, international trade enterprises must actively engage in this trend, grasp the new development trends, and bravely face challenges. This paper mainly discusses the basic concepts of economic globalization and international trade, analyzes the development trends of international trade under economic globalization, and proposes the current status and strategies for international trade development under the backdrop of economic globalization.
Measuring the wind vane of Success by Momentum based on PCA
Authors: Liu Yiyang , Gu Runchi , Yang Jiali
Published: June 2024

Tennis is a sport favored and admired by countless number of people throughout the world, which comprises two playing styles: singles and doubles. The paper presents a quantitative definition of the “momentum” and constructs two models regarding “momentum” and performance through analyzing various factors in the matches. We divide the given data into the training set and the testing set, and extract useful information under each point. Then, through analyzing various factors comprising serve counts, situation of ace and so on, conduct the dimensionality reduction utilizing PCA. Then we classify the performance of players per point into three key factors: endurance performance, serving performance and scoring performance and give the corresponding evaluation standard. Finally we utilize our models and analysis of the result, we present several related suggestions for coaches and players.
Explore the Effective Path of Inheriting and Developing Traditional Drama in the Background of the Internet-Take Henan Opera as an Example
Authors: Li Yuying
Published: June 2024

Henan Opera is a treasure in China's traditional culture. However, in today's diversified and information age, its old inheritance and development model can no longer better meet the needs of the people in the new era. In the process of development and inheritance, Henan Opera has been impacted by online media, especially among the younger generation. This paper summarizes the artistic characteristics and inheritance value of Henan Opera culture, investigates the present situation of the inheritance and development of Henan Opera, and selects the development path that conforms to the preference of the younger generation by questionnaire survey combined with the existing inheritance paths.
Study on the Influence of Home-school Cooperation on the Mental Health of College Students in China and its Mechanism
Authors: Yang Jing , Amando Yutuc
Published: June 2024

The purpose of this study is to explore the influence of home-school cooperation on the mental health of college students in China and its mechanism. By collecting a large number of sample data and using descriptive statistics, factor analysis and regression analysis, this paper makes an in-depth analysis of the relationship between home-school cooperation and college students' mental health. The results show that home-school cooperation has a significant positive impact on college students' mental health, among which the frequency of home-school communication, the diversity of home-school cooperation forms and the depth of home-school cooperation have a positive impact on college students' mental health. Further analysis shows that home-school cooperation can not only understand and solve students' psychological problems in time, but also promote students' psychological healthy growth by providing rich growth environment and personalized psychological support. Based on the above findings, this study puts forward some policy suggestions, such as strengthening home-school communication, enriching the forms of home-school cooperation, deepening the content of home-school cooperation and improving the policy support system, in order to provide more powerful protection for the mental health of college students in China. These research results not only help to enrich and develop the theoretical system in the field of home-school cooperation and college students' mental health, but also provide an important reference for educational practice and policy formulation.
Research on Aerodynamic Characteristics of Gliders with Different Wing Shapes
Authors: Chen Yuqing
Published: June 2024

In this research, the effects of different wing shapes on the lift-to-drag ratio and aerodynamic characteristics of gliders were analyzed. Traditional research has many limitations, such as experimental conditions - air flow speed and airflow stability, which may affect the stability of research results. Therefore, in this research, repeated experiments were used to eliminate chance, and numerical simulation was combined with computer simulation of the lift-to-drag ratio of gliders under different aspect ratios to verify the experimental results. The results show that with the increase in aspect ratio, the lift-drag ratio of the glider increases. A glider that has a greater wing aspect ratio can generate more lift force at the same given speed, reducing the descent speed and extending the glide distance, showing better aerodynamic characteristics. By studying the aspect ratio, the optimal wing shape and size for a specific aircraft can be determined to improve the lift and drag characteristics of the glider. This research has important guiding significance for glider design, which can improve the performance and efficiency of gliders.
Appeal for a Harmonious Relationship between Man and Nature
Authors: Guo Ziyi
Published: June 2024

Nathaniel Hawthorne is an influential novelist in American literature in 19th century. Most of his works are set in New England during the American colonial period, reflecting the social reality at that time. His masterpiece The Scarlet Letter ensures Hawthorne as the leading American native novelist in literature. Hawthorne exposes in his novels the immense destruction and ecological crisis caused by human civilization. Based on a close reading of his works, this thesis aims to study Nathaniel Hawthorne’s novels from the perspective of ecocriticism. In the thesis, the crisis of natural ecology is analyzed. At the same time, the thesis explores the relationship between human beings and nature. Hawthorne suggests that human beings should integrate into nature and maintain a harmonious relationship with nature, which is the primary concern of ecocriticism.
Research on score prediction in sports competitions——based on PSO-BP neural network and ARIMAX hybrid prediction model
Authors: Shi Longhui
Published: June 2024

Predicting match results has always been an important problem in the field of sports. Athletes and coaches can benefit from accurately predicting the path of a match, allowing them to strategize ahead of time and take control during the match. The PSO-BP neural network combines the advantages of particle swarm optimization and backpropagation neural networks to improve the accuracy of the model in processing complex nonlinear data interactions. ARIMAX is ideal for evaluating data that exhibits linear trends and seasonality. The model combines an autoregressive synthetic moving average component with external variables to account for linear trends, seasonality, and external influences in the data. Through the data in https://github.com/JeffSackmann/tennis_wta, this article establishes a combination of two models to predict game scores. Variables include advantage, turnover, lead, distance traveled, and serve. Using K-fold cross-validation, the accuracy rates of the PSO-BP neural network and ARIMAX prediction model were measured to be 82.89% and 80.12% respectively. Then bringing this model into the basketball game, we get its prediction accuracy: 77.12% and 76.21%. A random forest analysis method was used to evaluate the significance of each variable in prediction. The significance of each indicator is as follows: 0.33, 0.26, 0.17, 0.15 and 0.09.
Application Research of Information Technology in College Basketball Teaching
Authors: Liu Yuxi , AUSTRIA RAMIR S.
Published: June 2024

This study deeply discusses the specific application of information technology in basketball teaching. Through the application of information technology by teachers, it is found that the influential factors of information technology teaching are mainly composed of teachers' "cognition", "willingness" and "application". The correlation analysis of the three dimensions showed that: the gender of teachers had no significant difference in cognition, intention and application of information-based teaching (p>0.05); There were significant differences in teachers' cognition, intention and application of information-based teaching (P<0.01). There were no significant differences in the cognition, intention and application of information-based teaching among teachers' educational background (p>0.05). Based on case studies and correlation studies, this study puts forward solutions such as continuous investment in technical equipment, strengthening teacher training and in-depth research on new technologies to promote the wider application of information technology in basketball teaching. In the future, information technology will continue to play a key role in basketball teaching and promote the development of college basketball teaching towards a more scientific and intelligent direction.
Analyzing New Energy Vehicle Sales Influencing Factors Based on Statistical Learning
Authors: Han Yichen
Published: June 2024

Amid global environmental concerns and the push for sustainable development, the electric vehicle (EV) market is expanding swiftly, recognized as pivotal in curbing greenhouse gas emissions and advancing energy diversification. This thesis investigates factors shaping the EV market and assesses the impact of new energy vehicle development on conventional vehicles. Drawing on industry reports, market data, and relevant literature, it delves into key factors influencing China's new energy vehicle market, such as patent counts, public charging infrastructure, and government subsidies. Based on this analysis, recommendations are proposed to foster the sustainable growth of the new energy vehicle market, including subsidies for related industries, fostering technological innovation, and enhancing charging infrastructure. The study offers insights into the current and future trajectory of the electric vehicle market, revealing rapid expansion at the expense of traditional energy vehicles. By quantifying and visualizing the impact of new energy vehicles on traditional counterparts, this research furnishes valuable insights for policymaking in the new energy vehicle sector.
Contextual Collapse Perspectives on the Socialisation Practices of Text-Pleasing Syndrome in Online Media Environment
Authors: Ding Yu
Published: June 2024

The development of media technology has allowed different social contexts to be integrated into online networking platforms, and users face the breakdown and risk of uncontrolled social management in multiple contexts, which has given rise to a variety of new types of social interaction that are different from traditional offline face-to-face communication. The masses use softened language to maintain pluralistic online social relationships, and use ingratiating texts to achieve their performative purposes. The group power structure and the use of symbolic violence regulate the innovative development of the Internet context, and the self-alienation and the lack of media construct a new round of contextual collapse. Starting from the symbolic representation of text-pleasing syndrome, we explore its metaphorical multi-contextual collapse and the way to alleviate the social dilemma so as to construct a new context, and deeply consider the human-technology-society relationship triggered by media availability.
Research On Numerical Wave Tank Based on SPH Method
Authors: Peng Huifen , Yao Junyu
Published: June 2024

Numerical wave-current flume is one of the effective methods to study waves and their effects on structures. In this paper, the Smoothed Particle Hydrodynamics (SPH) method is used to simulate and analyze the numerical wave flume. Based on the SPH method, an efficient and flexible numerical wave tank model is constructed to simulate complex water wave dynamics. Firstly, the basic principle of SPH method is summarized, and then the establishment process of numerical wave tank model is described in detail, including particle initialization, boundary condition setting and so on. Through the flume simulation under different wave conditions, the accuracy and stability of the model are verified. Finally, the interaction between wave and structure is studied. It provides a new and effective tool for the numerical simulation of wave flume, and also provides a useful reference for the related research in the fields of marine engineering and coastal protection.
Study on Anxiety of English Oral Expression in Senior High Schools in the context of the new General Senior High School Curriculum Standards
Authors: Qiu Haimei , Yun Hong
Published: June 2024

In the context of the promulgation of the new General Senior High School Curriculum Standards, English teaching pays more attention to the training of students’ oral expression ability. Oral expression anxiety has long been an obstacle in students’ oral communication. Based on the analysis of the current situation and causes of oral expression anxiety of high school students, the thesis puts forward targeted teaching strategies to alleviate oral expression anxiety and enhance oral expression ability.
Research on stock trend prediction based on grey wolf optimized RF and SVM models
Authors: Ge Xiangyang
Published: June 2024

The volatility of the stock market has a profound impact on the stability of the financial market, and then has a significant effect on the overall economic situation, so the accurate prediction of stock trend has always been the focus of research in the financial field. In this paper, the raw minute-level stock data of SSE 50 and CSI 300 in 2021 are normalized, and the historical training and test sets of daily stocks for model training and testing are established based on the datasets. The RF-SVM model based on the gray wolf optimization algorithm is constructed to compare the traditional support vector machine and random forest model, and the relevant performance indexes are calculated. In this study, the RF-SVM model based on gray wolf optimization is highly correlated with the characteristics of stock data, and the prediction accuracy of stock index data is more than 85%. The cross-validation score is over 0.77 and the overall weighted score is as high as 0.98. Compared with the SVM and random forest models under the default parameters, the RF-SVM model based on gray wolf optimization has an average advantage of 25% in performance indicators. The generalization ability is increased by about 26%; The fitting error was reduced by about 51.15%; The overall average score advantage is about 34%. These results prove that the RF-SVM model of gray wolf optimization has superior performance and significant optimization effect in stock prediction, and compared with the traditional grid search optimization algorithm, gray wolf optimization has excellent adaptability and can gradually obtain the global optimal parameter configuration.
Integration of Red Resources in Middle School Art Teaching Practice Research
Authors: Jiang Xinyi , Gu Yi
Published: June 2024

The integration of red resources is an important aspect of middle school art education, and incorporating the spirit and culture of the color red into middle school art classrooms holds significant significance. This paper, using art as a medium, explores the educational pathway of integrating red resources into middle school art education by examining and analyzing primary and secondary school curricula and teaching theories, core literacy teaching theories, new art curriculum standards, and subject textbooks. Through investigating teaching methods to enrich the forms of art curriculum content, this study aims to shape students' ideal beliefs, cultivate patriotic sentiments, and promote the development of the art discipline.
The Decline and Revival of Traditional Heavy Industrial Cities: The Examples of Detroit in the United States and Shiyan in China
Authors: Yi Xinrui
Published: June 2024

The global economic transformation has led to the gradual decline of many traditional heavy industrial cities, which makes how to revitalize these cities an important issue. This paper takes Shiyan and Detroit as case studies on the decline and revitalization of heavy industrial cities. The research in this paper concludes that the main reason for the decline of industrial cities is stagnant economic development. Both Detroit and Shiyan used to rely on the automobile industry as their mainstay, but this mono-industrial structure made the cities' economies excessively dependent on their industries. Economic stagnation has led Detroit and Shiyan to face declining incomes and lower tax revenues at different times, especially under the impact of the economic crisis. Promoting the economic revival of traditional heavy-industry cities can be done through industrial upgrading, innovation-driven and green transformation. At the same time, the city should also increase the cultivation and introduction of talent, build a talent highland and an innovation highland, and provide strong talent support for industrial transformation and development. In conclusion, the revitalization of traditional heavy industrial cities requires comprehensive economic, cultural, environmental, talent, and other considerations, the research in this paper can further explore the development paths and modes of industrial cities, and contribute to the revival and prosperity of industrial cities.
How Classic and Well-known Anime IPs Drive the Development of Peripheral Industries: A Case Study of Bandai Namco's Marketing of Mobile Suit Gundam
Authors: Wei Dichuan
Published: June 2024

With the development of the socio-economic conditions, people's demand for spiritual needs is also increasing the cultural industry plays an increasingly important role in modern society. Anime and games, as integral components of the cultural industry, have a wide audience (especially among young people) and market demand. Simultaneously, consumer spending related to anime intellectual properties (IPs) has entered a high-growth phase. Anime IPs, as a vital part of the anime industry, possess unique appeal and influence. Anime game IPs, as distinctive cultural symbols, represent not only characters or stories but also brands with a large fan base and significant commercial potential. The purpose of this article is to explore how classic and well-known anime IPs drive the development of peripheral industries. Taking Bandai Namco's marketing of Mobile Suit Gundam as an example, by analyzing its successful marketing strategies and the development of peripheral industries, the aim is to reveal how anime IPs maximize their value through innovative peripheral products, marketing promotions, and collaborations with other industries. This study also aims to provide insights and inspiration for the operation of other anime IPs.
Discussion on the Management Strategy of Imaging Medical Equipment under the New Situation
Authors: Zhai Wenguo
Published: June 2024

In the realm of healthcare, particularly in the management of medical imaging equipment, unprecedented challenges and opportunities are encountered. This is especially pronounced in the niche domain of gastrointestinal endoscopy, where innovative management strategies are pivotal in the face of evolving circumstances. With the rapid iteration of technology, the escalating scarcity of medical resources, alongside the rising costs of management and maintenance, coupled with the ongoing flux of regulations and standards, these factors collectively constitute the intricate landscape confronting current management of medical imaging equipment. Addressing the pace of technological advancement, employing proactive technological foresight and flexible updating strategies are paramount. This entails not only technological upgrades of the equipment itself but also continuous training and education for operators to ensure their alignment with technological advancements. Given the scarcity of medical resources, enhancing the utilization and efficiency of existing equipment becomes imperative. This may involve optimizing equipment allocation and scheduling, reducing idle time, while also exploring the application of emerging technologies such as telemedicine to expand service coverage. This article will delve into how, amidst new circumstances, effective management strategies can optimize the utilization and maintenance of gastrointestinal endoscopy to cope with challenges such as the rapid pace of technological evolution, scarcity of medical resources, increasing management and maintenance costs, as well as changes in regulations and standards.
Building Sustainable Social Housing System: A Singapore Case from New Institutionalism Economics Approach
Authors: Zhang Yuan
Published: June 2024

Policymakers worldwide currently face challenges in planning, regulating, and managing the housing market. One of the primary solutions is the provision of affordable social housing fostering economic development, culture integration, technology empowerment, and social stability. Singapore is recognized as a successful model of well-balanced centralized legislation and market-augmented governance. However, current studies have mainly focused on urban planning and real estate finance fields. A holistic approach should be conducted to understand the effectiveness of the whole framework and policy conduit including affordability, inclusiveness, and connectivity. This study emphasizes the importance of the Housing and Development Board (HDB) governance and analyzes what policies make social housing schemes robust and sustainable by combining the Singapore case with the New Institutionalism Economics (NIE) approach. HDB decreases transaction costs by centralized planning and establishes a transparent system to increase housing affordability and ownership. Inclusiveness is achieved by inter-departmental joint force so that social capital can be maximized for diverse community cohesion. Socio-technical change and institutional evolution have mutual effects on each other for efficiency and connectivity. Digital innovations make sustainable communities and smart cities. As a result, this study proposes a practical framework for learning from Singapore's implications for national governance, institutional development, and policy formulation that holds universal reference value.
2D semiconductor Van Der Waals heterojunction applications
Authors: Han Zeqi
Published: June 2024

As the demand for new energy sources continues to grow, the market value of solar power, a key component of new energy, is also expanding. Van der Waals (vdW) heterojunctions made from two-dimensional (2D) semiconductors especially transition metal dichalcogenide (TMD), demonstrates immense potential in terms of the portability and efficiency of photovoltaic devices. Additionally, it shows great promise in the field of novel miniature high-speed photoelectric detectors. It offers multiple benefits, including high carrier mobility, tunable optical and electrical properties, enhanced optical properties and ultra-thinness, making it suitable for variant applications. This report reviewed the emerging 2D semiconductor Vdw heterojunction technologies on photodetection and photovoltaics. Summarized the advantages of MoS2/WSe2, WSe2/ReS2 and WSe2/WS2-based Vdw heterojunctions and their challenges.  The continued research and development in this field are expected to lead to more efficient energy conversion, scalable fabrication methods, and broader commercial applications of these technologies.
Research on Saihanba Nature Reserve Based on Comprehensive Evaluation Method and Cluster Analysis
Authors: Yu Runqi , Wang Yuzhe
Published: June 2024

In this paper, we analyze the environmental impact of Saihanba Nature Reserve by constructing a comprehensive environmental assessment model. Specifically, we use the entropy weight method to determine the weight of each secondary index and quantitatively study the environmental changes before and after the construction of Saihanba. In addition, we established a mathematical model to evaluate the influence of Saihanba's ability to resist sand and dust storms and quantitatively evaluated the effect of Saihanba's ability to resist sand and dust storms. Finally, we investigated the scale of the constructed ecoregions using a clustering algorithm.
Research on the Impact of Digital Currencies on the Internationalisation of the Renminbi and the Role of Promotion
Authors: Ma Wenze
Published: June 2024

The internationalisation of the RMB faces many opportunities and risks under the current new international development situation. It is precisely for this reason that the Chinese government should take every step carefully, and it should seize the opportunity now that the hegemony of the US dollar is loosening. The Chinese government is at the forefront of the development of the digital RMB and has already put it into practice many times. It has China's unique dual operation system, controlled anonymity and so on. The Chinese government should maintain the advantage, continuously improve the digital RMB standard, and vigorously develop the settlement system of digital RMB. This paper is based on the current status of the preliminary development of the central bank digital currency, analyses the advantages of the Chinese government's legal tender digital currency, for the study of the impact of the digital currency on the process of RMB internationalisation has a certain reference value.