bluuebunny/crossref_metadata_2025 huggingface dataset:
Seismic Performance Assessment and Enhancement Strategies for Civil Engineering Structures
Authors: Zhang Diyan
Published: April 2024

Against the backdrop of rapid socio-economic development in our country and the accelerated pace of urbanization, the construction industry has been provided with a vast space for vigorous development. With the increasing demands for building quality, the design of civil engineering structures faces higher challenges and standards. Designers, in the design process, must not only pursue the aesthetic effect of buildings but also pay more attention to the safety of structures. Seismic design has received widespread attention in today's society, as its effectiveness is directly related to the stability and durability of building structures, which in turn affects the personal safety of building users. Therefore, in the design process of civil engineering structures, designers must establish advanced seismic design concepts, making seismic performance one of the core elements of design. To achieve this goal, designers need to scientifically and reasonably determine the seismic grade of buildings by combining multiple factors such as the geological conditions of the project location, history of seismic activity, and building usage. Meanwhile, advanced seismic technologies and materials need to be adopted to ensure that building structures can effectively absorb and disperse seismic energy during earthquakes, thereby maximally protecting the safety of buildings and their users.
Internet Financial Information Security Risk and Prevention in the Age of Artificial Intelligence
Authors: Tao Centong
Published: April 2024

With the progress and development of science and technology, artificial intelligence technology and its convenient, fast, and efficient performance characteristics have been widely applied in various fields, which has brought great changes to the financial industry and unprecedented breakthroughs and development. Although artificial intelligence brings huge development opportunities for the Internet financial industry, it also brings some potential risks and challenges, causing Internet financial information to face severe security risks. How to use artificial intelligence technology to effectively prevent and control financial information security risks is a major problem facing the financial industry. This paper analyzes the security risks of Internet financial information in the era of artificial intelligence and puts forward relevant preventive measures to effectively deal with various security risks, ensure the information security management of financial cloud platforms, and promote the healthy and stable development of the financial industry.
Research on E-Commerce Retail Demand Forecasting Based on SARIMA Model and K-means Clustering Algorithm
Authors: Zhao Yiding
Published: April 2024

With the rapid development of e-commerce, precise demand forecasting and efficient inventory management have become essential for the success and profitability of retail businesses. This study focuses on demand forecasting for e-commerce retailers using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model and the K-means clustering algorithm. The research utilizes a dataset containing 1996 time series of sales data from various products, merchants, and warehouses, aiming to predict demand changes for the next 15 days. The study initially evaluates three models—Linear Regression (LR), Autoregressive Integrated Moving Average (ARIMA), and SARIMA—by fitting them to historical sales data to forecast future demand. The SARIMA model is identified as the most effective through rigorous evaluation using 1-mWAPE (mean weighted absolute percentage error) and RMSE (root mean square error) metrics. To enhance homogeneity within demand categories, the K-means clustering method is applied to divide products into four distinct groups, further refining the forecasting process.The paper also addresses the challenge of integrating new sequences into the dataset by leveraging clustering results to classify sequences and using cosine similarity to identify analogous historical time series. These matched sequences serve as the basis for demand prediction using the established SARIMA model. The findings highlight the robustness of the SARIMA model in capturing trends and seasonality, providing a reliable framework for e-commerce demand forecasting that can significantly impact inventory strategies and operational efficiency.
The Influence of Critical Period Hypothesis on Children’s Foreign Language Learning
Authors: He Wen
Published: April 2024

In the context of globalization, China has been putting more and more emphasis on "telling the story of China in English", and the status of English teaching has become more and more important. The critical period hypothesis is a theory put forward by Ellis, a foreign linguist, who believes that there is a golden period for language learning. During this period, children are able to master language naturally and effortlessly. An important aspect of second language acquisition research is the age factor. In general, children are more likely to succeed in learning a foreign language than adults, and children have a child advantage in second language acquisition. However, academics have different views on the age factor, and Chinese parents are also hesitant to decide when their children should learn English, resulting in a trend towards learning at a younger age. Is there really a critical period in foreign language learning? Is there really a critical period in learning a foreign language and is it closely related to age? Do children really have an absolute advantage over teenagers and adults in learning foreign languages? Therefore, this thesis will firstly introduce the proponents and opponents about the critical period hypothesis, and secondly explain the influence of age factor on foreign language learning. Thirdly, talk about why the age factor affects second language acquisition. argue for the optimal age for foreign language teaching. Fourth, discusses the implications of children's foreign language learning. Finally, it is a brief conclusion.
Research on the Path of Higher Vocational Talent Training in the New Era under the Background of Artificial Intelligence
Authors: Lin Shaoyun , Dong Haiyun
Published: April 2024

With the advent of the era of artificial intelligence, it is difficult to rely on standardized education, and the development of The Times puts forward new requirements for talent training. The talents trained by higher vocational education in the new era should have the characteristics of growth mentality and high consciousness learning, human-machine symbiotic thinking and AI penetration skills, pioneering spirit and the ability to "break boundaries", the creative ability and practical wisdom, the combination of humanistic spirit and science and technology, human community thinking and cross-cultural action. Therefore, it is proposed that higher vocational education should focus on the target object of talent training in higher vocational colleges in the intelligent era, build a digital twin Sunac platform, form a new technology base, and develop new skills with the integration of industry and education certification. We are committed to cultivating the fertile soil for the growth of talents, and enabling the continuous emergence of high-quality skilled talents in the new era.
Exploring the Application of Blockchain Technology in Logistics and Transportation System
Authors: Duan Jinwu , Zhang Mingke , Xiao Bocun
Published: April 2024

This paper explores the application of blockchain technology in improving the management and efficiency of logistics and transportation systems. By leveraging blockchain technology, real-time recording, traceability, data sharing, security, and trustworthiness of logistics information can be achieved, thereby enhancing the efficiency and safety of logistics operations. The paper discusses the theoretical foundations of blockchain technology and logistics and transportation systems, highlighting key concepts such as decentralization, distributed ledger, consensus mechanisms, smart contracts, operations research, supply chain management, and transportation economics. Additionally, the literature review presents an overview of existing studies on logistics and transport systems and blockchain technology, illustrating various applications and benefits, such as sustainable transport frameworks, transportation and logistics management models, smart logistics systems, and supply chain traceability platforms. In conclusion, the exploration of blockchain technology's application in logistics and transportation systems offers comprehensive support for improving logistics efficiency, reliability, and safety, promising more efficient and reliable transportation services for the logistics industry in the future.
Exploring the Teaching Strategies of Excellent Traditional Culture in Primary School Language Teaching Materials of the Ministry of Education
Authors: Li Bei
Published: April 2024

Excellent culture is the root of the nation, and there are many excellent traditional cultures in primary school language teaching materials, how to teach traditional culture is a difficult problem. This paper puts forward the problems existing in the teaching of traditional culture, then reflects on the existing problems, and concludes that teachers should improve their own cultural literacy, adopt diversified teaching methods, combine with life, pay attention to the traditional practical activities, as well as the mutual assistance between schools and parents and society.
Research on the Coupling Coordination Development of Industry-University-Research, Regional Economy and Ecological Environment and Their Spatial Spillover Effects
Authors: Liu Nian
Published: April 2024

This paper applies the coupling model to study the coupling coordination development of industry-university-research, ecological environment and regional economy in 30 provinces and cities in China from 2009 to 2019, on the basis of which, this paper further applies the spatial Durbin model to measure the spatial spillover effects of the three subsystems. The results show that: (1) During the study period, China's IUR-Economy-Ecology system is characterized by high coupling degree and low coupling coordination degree, in which 83% of China's regions are lagging in industry-university-research, and the regional distribution shows a diamond-shaped distribution of "high in the east, flat in the northeast and the middle, and low in the West ". (2) The IUR-Economy-Ecology, economic and ecological system has obvious spatial polarization effect. (3) The industry-university-research system has spatial diffusion effect, which indicates that promoting industry-university-research cooperation is conducive to the promotion of the balanced regional development. (4) The industry-university-research innovation system, relative to the economic and ecological systems, has a "wooden barrel effect" in the process of promoting the coupled and coordinated development of IUR-Economy- Ecology system, and promoting the development of industry-university-research innovation system can most efficiently improve the "capacity ceiling" of the total system.
Research on Calibration Method of Six Dimensional Force Sensor at the End of Robot
Authors: Yang Hongchao , Xie Chong
Published: April 2024

A six-axis force sensor calibration method for industrial robots is proposed to meet the demand for precise force measurement of end effectors in industrial robots. Firstly, establish a sensor data relationship calculation model, and based on this, focus on considering the interference caused by sensor "zero drift"; Then, the least squares method is used to determine the inclination angle between the robot's end effector and the installation of the six-axis force sensor, the gravity of the end effector, and the coordinate parameters of the center of gravity. Finally, a CR5 robotic arm experimental platform was built to verify the feasibility of the algorithm. The experiment showed that the calibrated sensor maintained a stable force value of 0N without external force, verifying the accuracy of the calibration algorithm.
Establishment of Free Trade Zones Does Not Suppress Urban Carbon Emissions
Authors: Zhai Jiumei , Peng Jingxiao
Published: April 2024

Constructing free trade pilot zones is an important strategic move for promoting reform and opening up in China in the new era. However, pollution control and emission reduction are obstacles that must be overcome in this process. This study takes cities implementing free trade pilot zone policies in China as the experimental group and other cities as the control group, establishing a "quasi-natural experiment." Based on panel data from 287 cities from 2010 to 2021, the study uses the Difference-in-Differences (DID) method to empirically test the impact of free trade zone construction on carbon emissions in the cities and further analyse its influencing mechanisms. The research findings indicate: (1) the construction of free trade zones has a significant inhibitory effect on carbon emissions in the cities; (2) the establishment of free trade pilot zones can suppress carbon emissions in cities through levels of openness to the outside world, technological innovation, and upgrading of industrial structure; (3) different regions and batches of free trade zones have varying impacts on carbon emissions. In light of these findings, it is suggested to systematically expand the implementation scope of free trade pilot zone policies in China during the development of free trade pilot zones, stimulate the potential for urban carbon reduction, implement tailored low-carbon policies, and promote the coordinated development of economic and environmental benefits in free trade pilot zones.
The Integration of Traditional Symbols and Modern Product Design: Cultural Inheritance and Innovation
Authors: Chen Yijing , Sharudin Sharul Azim
Published: April 2024

This study focuses on the integration of traditional symbols and modern product design, exploring how to achieve innovative design while maintaining cultural heritage. The article first analyzes the significance and value of traditional symbols, as well as the characteristics and requirements of modern product design. Subsequently, the integration of traditional symbols and modern product design was explored, including the introduction and integration of traditional symbol elements, the reinterpretation and innovative design of traditional symbols, and the combination of traditional symbols and modern technology. Finally, from the perspective of cultural inheritance and innovation, strategies for the integration of traditional symbols and modern product design were proposed, including strengthening the mutual integration of traditional symbols and modern product design, enhancing the innovative ability of traditional symbols, expanding the application fields of traditional symbols, and strengthening the cultivation of talents for traditional symbols and modern product design.
Exploration of Ideological and Political Construction in Maritime English Curriculum based on Blended Teaching Model
Authors: Huang Xiang
Published: April 2024

In order to better achieve ideological and political education for all staff, the whole process, and all aspects, and to fully utilize the educational function of professional English courses, this article attempts to explore the construction of the ideological and political system of maritime English courses based on blended online and offline teaching, and apply it in practical teaching, reflecting on teaching. The purpose of this article is to provide experience for the teaching of professional English courses in vocational colleges.
Level of Instructional Domains on The Self- Efficacy of Gymnastics Teachers
Authors: Hao Anying
Published: April 2024

Gymnastics is a sports activity that involves basic to challenging movements, physical exercises, and evaluation. It comprises of many forms of movements such as endurance, strength, flexibility, agility, and coordination, conducted on the floor or with the use of apparatus . As a physical training method, gymnastics improves functional body movement and teaches balance and spatial awareness, such as movement displacement, floated, balance, and weight transfer. Additionally, gymnastics offers the opportunity to create movements against gravity, enhancing fitness and skills. Moreover, gymnastics strengthens the body, maintains good physical condition, and develops good sports habits as well as improves learners' cognitive skills, shapes the body, promotes mental health, self-development, and lifelong sports consciousness. Gymnastics promotes various health and fitness benefits, well-being, and sporting prowess, making it an essential component of physical education.
Attribute-level Sentiment Analysis Incorporating Auxiliary Information
Authors: Yin Huiyang , Hou Jin
Published: April 2024

In order to obtain the sentiment tendency of multiple attributes contained in the data reviews, this paper uses an attribute-level sentiment analysis model RBT-BiAtt-GCN, which incorporates auxiliary information and attention mechanism, to analyze the attribute-level sentiment analysis of e-commerce reviews of citrus. The model incorporates auxiliary information, attention mechanism, and GCN network on the basis of the previous one, and the final macro F1 value obtained can reach 78.21%, which achieves good results in comparison with other models.
Research on the Effect of Minimum Wage on the Bargaining Power of Chinese Manufacturing
Authors: Xue Kailiang , Hu Changqing , Luo Jianbing
Published: April 2024

Based on the data of China's industrial enterprise database from 2003 to 2013 and the national minimum wage data at county (city) level, this paper investigates the impact of minimum wage policy on China's manufacturing bargaining power. The results show that (1) the increase of minimum wage will reduce the price markup of Chinese manufacturers and weaken the bargaining power of Chinese manufacturers. (2) Compared with the minimum wage adjustment in the lag period, the cost impact of the minimum wage in the current period is more intense in weakening the bargaining power of the manufacturing industry.
Exploring the Impact of Smartphone Shopping on Consumer Relationships in Rural China: A Case Study of Village H
Authors: Zheng Mengyuan
Published: April 2024

As a consumer software, mobile shopping apps are impacting the traditional rural markets in China, which have been weakening due to the loss of consumer base. This phenomenon has led to the gradual replacement of traditional rural markets by online shopping, eradicating both the consumption and social functions traditionally held by these markets. Efficient, cost-effective, and secure online shopping is gradually replacing the risky rural markets. However, this transition also entails the deconstruction of longstanding "acquaintance customer" relationships between buyers and sellers.
Does Artificial Intelligence Also Bare Its Heart: Self-disclosure of Artificial Intelligence in Human-Computer Interaction
Authors: Wu Rui
Published: April 2024

In the era of intelligent media, artificial intelligence as a new social object, its interactive characteristics are worthy of in-depth study. In this paper, based on the theory of media equivalence and dramaturgical theory, the current research focus on human self-disclosure will be changed to explore whether there is self-disclosure and its characteristics in human-computer interaction of artificial intelligence represented by chatbots. It is found that although AI lacks emotional and consciousness-based self-disclosure, they exhibit behaviors that can be regarded as self-disclosure in the sense of performance (user perception level). At the same time, at the technical level, algorithmic disclosure and transparency can be considered self-disclosure in the true sense.
The Night Banquet of Han Xizai in the Perspective of Socio-Historical Criticism
Authors: Lu Min , Wang Huamin
Published: April 2024

The purpose of this article is to explore in depth the historical background, iconographic content, and its historical value and significance of Han Xizai's Night Banquet through the perspective of socio-historical criticism. The article firstly analyzes the socio-historical situation of the Five Dynasties period, especially the political and cultural background of the Southern Tang Dynasty, as well as the association between Han Xizai and the Southern Tang Dynasty royal family. Secondly, it provides a detailed pictorial interpretation of Han Xizai's Night Banquet in terms of its picture content and scene arrangement, character image and costume props, artistic style and presentation method. Finally, the historical value and significance of the painting are discussed. Han Xizai's Night Banquet not only reflects the social and political background of the Five Dynasties and Ten Kingdoms period, but also reveals the relationship between Han Xizai and the royal family of the Southern Tang Dynasty. With its fine brushwork style and unique narrative technique, the painting shows the prosperity of the court culture and the luxury of aristocratic life in the Southern Tang Dynasty. At the same time, the painting also has important value in art history, painting technique, cultural relics and collection history. As a precious historical document, The Night Banquet of Han Xizai not only helps to enrich our understanding of ancient history, but also enhances our appreciation of ancient art, and has certain reference value for historical and artistic research.
Key Aspects of a Good “Introduction to Water Resources Engineering” Course
Authors: Liu Hongquan , Chen Renqiang
Published: April 2024

This paper takes the elective course "Introduction to Hydraulic Engineering" set up by Agricultural University of Hebei as an example, and expounds the key links of a good elective course from several aspects, such as optimizing the teaching content, enriching the teaching means, preparing the lesson carefully and lecturing carefully.
School Leader Behavior and Teacher Work Task Motivation Towards a Proposed Motivational Training Program for Teachers
Authors: Kou Li
Published: April 2024

This study aims to explore the relationship between school leadership behaviors and teacher motivation in the Chinese educational environment. Research understands the impact of this relationship by examining teacher profiles, assessments of principal leadership behaviors, and measures of teacher motivation levels. Research has found that principals exhibiting caring-oriented behaviors help increase teachers' motivation levels. However, teacher motivation is more influenced by external factors, such as rewards and incentives, rather than intrinsic satisfaction that comes from the job itself. Research also highlights the importance of transformational leadership in stimulating teacher interest and improving performance. Based on the findings, a series of recommendations are put forward to improve teacher motivation and performance, including promoting genuine interest in teaching, providing incentives, creating a teamwork atmosphere, providing professional development opportunities, and making effective use of educational resources. This study provides valuable insights into the relationship between leadership behaviors and teacher motivation in Chinese educational institutions and provides practical suggestions for improvement.
Discussion and Analysis of Agricultural Cold Chain Logistics Issues
Authors: Yang Xi , Zhang Xiyu
Published: April 2024

With the advancement of socialist marketisation, the demand for cold chain logistics for agricultural products is expanding. This not only accelerates the development of cold chain logistics system, but also brings a lot of convenience to the residents' life. This paper takes the current situation of supply and demand of cold chain logistics of agricultural products in China as the starting point, analyses the current problems in the development of cold chain logistics of agricultural products, and puts forward corresponding countermeasures in this regard, with a view to improving the efficiency of cold chain logistics transport in China to meet the daily needs of the people.
The Influence of Blade Structure Optimization on the Hydraulic Performance of Vane Pump
Authors: Sun Jianqiang , Li Sheng , Wang Hao
Published: April 2024

Vane pump has the problems of low pressure reduction efficiency and easy to be stuck at the bottom of the well. In order to solve this problem, the annular pressure reduction downhole tool of vane pump based on eddy current principle is adopted. On the basis of introducing the principle of eddy current hydraulic pressure reduction technology, this paper studies the influence of blade number, blade outlet angle, blade chord height and blade thickness on tool characteristics. The results show that the tool head increases with the increase of blade number, increases first and then decreases with the increase of blade outlet angle, and decreases first and then stabilizes with the increase of blade wall thickness and chord height. The tool efficiency increases with the increase of blade number, decreases with the increase of blade chord height, and decreases with the increase of blade outlet angle to a certain value, which is less sensitive to blade wall thickness. The research results have important guiding significance for the design and structural optimization of blade annular pressure reducing tools.
The study of Cassirer's Humanistic Thought in An Essay on Man
Authors: Wang Xuan
Published: April 2024

For the study of Humanistic theory, there are many outstanding philosophers have elaborated, have their own unique insights, but the most prestigious from the German philosopher Cassirer, who answered the question of "what is man" in his book An essay on man, he creatively put forward the "man is a symbolic animal". He creatively proposed that "man is a symbolic animal". This is a great breakthrough in the theory of Western anthropology, which has also led to the further development of anthropological theory. This paper focuses on the development of Cassirer's theory of humanology and the far-reaching impact of humanology and theory on society. The essence of man lies in the fact that man is the journey of using symbols as a bridge of communication between man and culture and gradually emancipating man's mind. This paper specifies Cassirer's humanistic theory of man, symbol, and culture as one and evaluates his thought.
Analysis of the Development Status and Industrial Policies of the Hydrogen Energy Industry in Zhangjiagang City
Authors: Cheng Xiaorong
Published: April 2024

China is currently building hydrogen refueling stations in Beijing, Shanghai, and Zhengzhou. Moreover, there are currently numerous medium-sized hydrogen refueling stations under construction with a capacity of over 400KG/D. From planning, design, construction to operation, hydrogen stations with long-term operational capabilities are required to analyze and develop the system, ensuring the scientific nature of technology and the economic efficiency of operation. The core facilities of the hydrogen refueling station are mainly gas storage tanks. Air compressors and various control systems. At present, the existing hydrogen production stations and core facilities under construction mainly adopt the form of "import+domestic products", basically establishing the conditions for national production. But it is necessary to strengthen the implementation of current standards, the establishment of inspection instruments, and supervision and management.
“Constructed Women”
Authors: Yin Haodan
Published: April 2024

Simone de Beauvoir (1908 - 1986), as the pioneer and founder of feminist literary criticism, her feminist thoughts and Literary theory have had a profound impact on the development of women's movement and feminist literary theory around the world. Beauvoir is “one of the most important women of the 20th century.” His book The Second Sex covers the cultural content of philosophy, history, literature, biology, ancient myths and customs, and discusses the actual women’s situation, status and rights in the historical evolution from Primitive society to modern society. In the book, linguistic theories and methods are applied to define and differentiate gender concepts, and a detailed study is conducted on the shaping and influence of daily life, religion, and taboo language on women’s psychology and consciousness. Exploring the relationship between gender and culture is an important dimension that reflects a conscious awareness of language and culture. Beauvoir’s language research has provided important theoretical inspiration for the development of feminism, especially postmodern feminist criticism, and has a transitional significance that connects the past and the future. This article takes The Second Sex as the research text and conducts a feminist analysis of Beauvoir’s linguistic theory from three aspects: The first part elaborates on feminism by analyzing Beauvoir’s application of linguistic methods and research on multiple linguistic issues, criticizing the traditional patriarchal cultural tradition. The second part compares Woolf’s feminist language views and introduces the different focuses of language research between the two. The third part elaborates on the impact of Beauvoir’s language research on feminist criticism and postmodern feminism.
Marketing Strategy Analysis Based on Consumer Behaviour
Authors: Zhao Jinrong , Luo Xin , Wu Junjin , Wang Jiale
Published: April 2024

Since the release of Xiaomi in 2011, it has gained great success in the market with its unique marketing methods and product concepts. In this thesis, through in-depth study of the theory of Xiaomi mobile phone, combined with SWOT analysis model and 4P theory, we analyse the advantages and shortcomings of Xiaomi mobile phone, as well as its pricing, channels, promotions and other factors. According to the marketing environment of Xiaomi mobile phone, we can better predict the opportunities and challenges faced by Xiaomi mobile phone in the future. On the practical side, this thesis puts forward clear ideas and suggestions for the problems of the current development of Xiaomi mobile phones in China. These ideas and suggestions will provide the relevant government departments in the establishment of effective and reasonable marketing strategy, summarise the advantages of the marketing strategy that Xiaomi mobile phone is now using and its shortcomings. Finally, some suggestions are made for some of these problems.
Recognition of α and β Radiation Waveforms Based on Neural Networks
Authors: Yu Pengzhang , Xiong Ke , Wang Hao
Published: April 2024

Alpha and beta radiation do not possess penetrating properties to the skin, but they can adhere to the surface of the human skin. Inhalation through the mouth and nose often poses a greater risk to the human body compared to gamma radiation. Traditional methods for identifying alpha and beta particles have some drawbacks, such as high requirements for equipment's signal-to-noise ratio and significant impact of noise on identification results. We propose the utilization of lightweight neural network models for alpha and beta particle identification. These models exhibit strong generalization and robustness, enhancing the ability to resist noise interference during the identification process. Additionally, their lightweight nature facilitates deployment on devices, thereby contributing to the prevention of nuclear proliferation to some extent.
A Comparative Study of the Translation of Shakespeare’s Sonnets from the Perspective of “Three Beauties”
Authors: Zhang Yuting
Published: April 2024

The sonnet is a relatively old form of poetry that originated in Italy and was later introduced to England. Shakespeare’s sonnets are a type of sonnet composed of rhyme, pentameter and iambic pentameter, which occupy an important place in the world’s poetry and literature and have been translated in various ways in China. Chinese translators have gone through various explorations on the way to translate Shakespeare’s sonnets and have tried many different translation methods. However, when we look back at previous translation studies, most of them analysed the translations from the perspectives of meter, style, and rhetoric, but few of them analysed the translations in perspective of contemporary Chinese poetry translation theory, for reveal the extent to which different translators reproduced the aesthetic characteristics of the sonnets. Xu Yuanchong’s translation theory system has inherited the essence of traditional Chinese translation thought, among which the principle of “three beauties” takes “beauty” as the principle of pursuit, which breaks the traditional “faithfulness-centered” translation idea and concentrates on the aesthetic requirements of contemporary poetry translation. The two Chinese translations of Shakespeare’s sonnets, namely Tu An and Dai Liuling’s translation, have different identities and reproduce the beauty of the original poem to different degrees. Under the guidance of the translation principle of “three beauties”, this thesis compares and analyses the two translations, and studies the aesthetic reproduction of “sense, sound and form” by the two translators, aiming to enlighten the translators in the process of poetry translation and to inspire the cause of Chinese poetry translation.
The Essence of Integrity in Chinese Traditional Culture
Authors: Liu Meng
Published: April 2024

Integrity, as a fundamental moral principle, has been deeply ingrained in Chinese traditional culture for thousands of years. This paper explores the historical evolution of the concept of integrity in China, its philosophical underpinnings, and its practical applications in governance, education, and social conduct. By examining ancient texts, philosophical thoughts, and historical anecdotes, this study aims to shed light on the enduring values of integrity and their relevance in contemporary society.
Optimisation of Game Strategies Under Information Asymmetry Between Insurance Companies and Consumers
Authors: Wu Bochen
Published: April 2024

The information asymmetry common in insurance markets has a profound impact on market operations and outcomes, and game theory provides a framework for understanding and responding to this problem. This paper explores the manifestation of information asymmetry in the insurance market and the application of game theory, as well as the optimisation of strategies between insurers and consumers. On the part of insurance companies, game strategies are optimised through measures such as improving information transparency, enhancing risk assessment and establishing long-term cooperative relationships, while consumers actively participate in the market game by enhancing their awareness of self-protection, improving their insurance knowledge and choosing reputable insurance companies. These optimisation measures help to improve the market environment, enhance market efficiency and achieve a win-win situation in the insurance market, laying the foundation for the healthy development and sustainable stability of the insurance market.
Full-body Texture Reconstruction of Clothed Human Body
Authors: Ren Zhipeng , Zhang Ji
Published: April 2024

In order to solve the distortion problem in monocular reconstruction, a new solution is proposed in this paper. In particular, the space occupancy field of the human body can be obtained by combining normal maps and symbol distance field. Meanwhile, transformer encoder and decoder are used to extract feature vectors from input images and feed them into MLP, and finally the whole texture including invisible areas can be inferred.  Experiments show that the proposed method makes good progress in the reconstruction of human body based on monocular RGB, even with good robustness for invisible regions.
Green Logistics Research Review Report
Authors: Li Tianyi
Published: April 2024

With the rapid development of the social economy, the modern logistics industry is, on the one hand, an important part of supporting the development of the national economy and enhancing the national economic competitiveness. On the other hand, logistics activities are also one of the main factors leading to the deterioration of the ecological environment and the waste of social resources, the development of green logistics has become the key to the transformation of the logistics industry. The article uses CiteSpace software to conduct a quantitative analysis of the literature on the theme of "green logistics", aiming to sort out the knowledge structure and research hot spots in the field of green logistics, summarize the research process of green logistics at home and abroad; secondly, classify the research and development directions of logistics Explore.
Research on Chengdu-Chongqing Urban Agglomeration and Guangdong-Hong Kong-Macao Greater Bay Area Innovation Network Structure
Authors: Wei Yuxin
Published: April 2024

Under the background of factor-driven to innovation-driven, urban innovation is very important in the regional development pattern.In this paper, Chengdu-Chongqing urban agglomeration and Guangdong-Hong Kong-Macao Greater Bay Area are taken as the research objects. Based on the co-authored data of papers among cities, a theoretical knowledge innovation network is constructed.With the help of social network analysis method, the overall characteristics and network centrality are compared and analyzed, thus revealing the development status of Chengdu-Chongqing urban agglomeration and Guangdong-Hong Kong-Macao Greater Bay Area knowledge innovation network.The empirical research shows that: (1) During the research period, the overall density and agglomeration capacity of Guangdong-Hong Kong-Macao Greater Bay Area theoretical knowledge innovation cooperation network are higher than those of Chengdu-Chongqing urban agglomeration. (2) Dual-core cities Chongqing, Chengdu, Guangzhou and Shenzhen have significant innovation polarization effects.
Research Progress of Enhanced Oil Recovery Technology in Tight Reservoirs
Authors: Li Huiyang , He Fanchen , Nan Yajun
Published: April 2024

With the continuous exploitation of conventional oil and gas resources, its recoverable reserves are gradually decreasing, and the difficulty of exploitation is increasing day by day. Tight oil and gas resources show great development potential and have gradually become new important strategic resources supporting sustainable development. This paper reviews several EOR technologies at home and abroad from the aspects of tight reservoir research status and characteristics, hoping to provide reference for domestic tight reservoir development technology.
A Research on Evaluation Index System of High Quality Housing
Authors: Cao Mengran , Ma Danxiang
Published: April 2024

After decades of rapid development, China's real estate industry is transforming from large-scale to high-quality development. The outline of the national 14th Five-Year Plan and the introduction of macro-control policies such as "three red lines" and "centralized land supply" have formed a consensus on improving the quality of housing in a wider range, which all point to the same direction, that is, real estate should return to the property of people's livelihood and pay attention to people-oriented and high-quality development. Residents' housing concept has undergone a major change, putting forward higher requirements for residence satisfaction, and the demand for housing has also shifted from quantity to quality. High-quality housing has become an inevitable trend in the development of residential construction. According to the requirements of high-quality development of housing construction, this paper explores and studies the evaluation index system of high-quality housing from the perspective of residents' feelings to help improve the overall happiness index of residents.
Digital Transformation of Jiaozuo Manufacturing Enterprises and Countermeasures
Authors: Guan Yujie
Published: April 2024

In the backdrop of the "digital economy," digitization has exerted profound impacts on various aspects of manufacturing enterprises, including production and operations, deeming digital transformation an inevitable trend for their sustained development. This paper delves into this trend through extensive research, providing a detailed exposition of the relevant policy measures and guidance proposed by local governments to drive the digital transformation of the manufacturing industry. Simultaneously, by conducting a thorough analysis of the current status of digital transformation in manufacturing enterprises in Jiaozuo City, the paper unveils numerous challenges and obstacles encountered during the ongoing transformation process. Based on a comprehensive analysis of the current situation, this paper aims to present a series of specific strategies to propel the digital transformation of manufacturing enterprises, with the ultimate goal of assisting these enterprises in better adapting to the requirements of the digital era and providing robust support for their sustainable development.
Study on the Wear Characteristics of Angular Contact Ball Bearings
Authors: Lv Mengjiao , Ni Kun , Lu Ruigang
Published: April 2024

For the wear of rolling bearings, this paper establishes a wear model of angular contact ball bearings based on the proposed static mechanics of rolling bearings, kinematics of rolling bearings and Archard's wear theory, studies the wear of bearings, and analyses the effects of rotational speed, load and structural parameters on the wear of bearings. The results show that: the inner ring of the bearing is uniformly worn and the depth of wear is larger than the outer ring; the depth of wear of the inner ring of the bearing increases with the increase of rotational speed, the load has a certain effect on the depth of wear, the depth of wear increases with the increase of axial load; the structural parameters of the bearings have a certain effect on the wear, the depth of wear of the inner ring decreases with the increase of the radius of curvature of the internal grooves, the radius of curvature of the internal grooves has a small effect on the outer ring wear, and the selection of appropriate structural parameters can effectively reduce the wear of the bearings, the wear of the bearings can be reduced. Selection of appropriate structural parameters can effectively attenuate the wear.
Analysis of Classroom Environmental Factors and Teaching Strategies for Foreign Language Learning Anxiety
Authors: Zhang Chaoqun
Published: April 2024

With the advent of humanistic psychology, there has been an increasing emphasis in English language instruction on the influence of emotional factors on the learning process. Among these factors, anxiety has gained recognition as a prominent affective disorder in the context of language learning. Recognizing the significant detriment caused by "environmental anxiety" to English learners, this paper endeavors to investigate the anxiety arising from various environmental factors within the classroom. Specifically, it examines language anxiety resulting from the teacher-student relationship, peer interaction, and teaching materials. Moreover, this paper provides three recommendations aimed at mitigating anxiety levels in these areas: cultivating a harmonious teacher-student relationship, organizing group activities, and selecting appropriate teaching content. These measures are intended to help educators foster a more conducive learning environment.
An analysis of Strategies for Adopting Blockchain Technology in Fresh Product Supply Chain Under Freshness Misreporting
Authors: Fu Deqiang , Yang Min
Published: April 2024

The application of blockchain technology can inhibit producers' freshness misrepresentation in fresh produce supply chains. In this paper, we consider consumers with fresh produce freshness information traceability preference. In a fresh produce supply chain with a single producer and a single seller, the seller's blockchain application decision is studied, the Stackelberg game models of the supply chain members in the two scenarios of the producer misrepresenting freshness and the seller applying blockchain are constructed, and the changes of the equilibrium solutions before and after the application of blockchain technology are analysed. The theoretical proofs and numerical simulation studies show that when the transaction cost is at a certain level, the sellers should choose to apply blockchain technology to improve their own revenue, and the level of applying blockchain technology is affected by the consumer's retrospective preference and the cost coefficient of blockchain technology.
Research on finance Credit Risk Quantification Model Based on Machine Learning Algorithm
Authors: Wang Junliang , Xu Jiahao , Cheng Qishuo , Kumar Rathna
Published: April 2024

Machine learning is a branch of artificial intelligence (AI) technology that enables systems to learn and make predictions and decisions without the need for explicit programming. Machine learning algorithms learn patterns and relationships from data and are able to gradually improve their accuracy.This paper mainly introduces the application of deep learning in financial academia and the financial industry, with a particular focus on the application of machine learning and deep learning in financial quantitative trading. The paper mentions the complexity and challenges of financial markets and the difficulties machine learning faces in processing financial time series data, such as overfitting, non-stationarity, heteroscedasticity and autocorrelation. To overcome these challenges, the paper explores machine learning model design in financial quantitative trading and risk prediction, including data transformation and model construction. In the related work part, it introduces the history and development of quantitative investment, as well as the application of quantitative investment, such as high-frequency trading, arbitrage strategy and commodity trading advisory strategy. It then focuses on the application of machine learning in financial quantification, including the use of supervised and unsupervised learning in stock price forecasting and trading strategy generation. The paper also compares traditional quantitative strategies with machine learning strategies and discusses the advantages of machine learning in solving high-dimensional and non-linear problems. The methodology section introduces the application of the random forest model in financial quantification, including the model principle, feature importance calculation and experimental design. Through the pre-processing, feature selection and model construction of the credit risk prediction dataset, the construction and evaluation process of the random forest model is demonstrated. Finally, the performance of the random forest model is evaluated and compared with other models to demonstrate its advantages and applicability in financial quantification.
Analysis of the Dance Work "Horse Map" from the Perspective of Inheritance and Innovation
Authors: Chu Xinying
Published: April 2024

The Chinese civilization has a long history of five thousand years. China has a broad and profound history and culture, and a large number of excellent traditional Chinese culture still exists today. The key lies in cultural inheritance. Art, as a sub-body of culture, can also peek into cultural inheritance. But with the evolution of the trend of The Times and the change of aesthetics, art also innovates on the basis of inheriting the tradition. With the emergence of "double creation" and other ideas, the creative idea of inheritance as the "foundation" and innovation as the "main" is increasingly strengthened. This paper mainly analyzes the classical dance work "Steed" from the perspective of inheritance and innovation.