bluuebunny/crossref_metadata_2025 huggingface dataset:
Network Anomaly Traffic Analysis
Authors: Lu Kaibin
Published: April 2024

This paper rigorously analyzes two principal methodologies in network traffic anomaly detection: feature detection and anomaly detection. Each methodology exhibits distinct strengths and confronts specific challenges. The study elucidates how the integration of deep learning with artificial immune systems could potentially transform feature detection. Moreover, it illustrates the enhancement of anomaly detection through the synthesis of machine learning techniques with traditional methods. Looking ahead, the paper delineates research trajectories that concentrate on merging deep learning, artificial intelligence, and behavioral analysis. This integration aims to augment the precision, efficiency, and adaptability of network anomaly traffic monitoring systems. Proposed future strategies include advanced methods in data preprocessing, model development, pattern recognition, and adaptive adjustments. These strategies are directed towards fortifying network defenses in response to the dynamically changing spectrum of cyber threats.
Will Government Digital Focus Affect Local Economic Development
Authors: Bing Jiayi , Song Ke , Zou Jiahe , Zou Xinyi , Guo Xiaoke
Published: April 2024

The rapid development of the digital economy has brought new momentum, new engines, and new space to social development. This article takes the government's digital attention as a perspective to study the impact of the government's digital attention on local economic development. The study found that government digital attention has a significant impact on local economic development. Mainly focusing on government digital attention can promote the construction of digital government and provide a good institutional environment and basic support for the digital economy. Secondly, the government's digital focus has also promoted the rise and development of the digital economy, promoted consumption upgrades and the upgrading of local industries.
Research on the Model of Bengbu City Government's Purchase of Elderly Meal Assistance Services
Authors: Qin Yingning , Zhou Zejiong
Published: April 2024

The purchase of elderly meal assistance services by local governments is an important part of China's government's purchase of public services, and it is currently in the period of policy pilot and institutional exploration in some cities. This article selects three different types of elderly meal assistance models in Bengbu City, and explores the characteristics, existing problems, and development trends of the elderly meal assistance service model in Bengbu City from three aspects: competition level, inter subject relationship, and institutionalization level. Based on this, it proposes further strategies and thoughts to improve the government's purchase of elderly meal assistance services.
Analysis of the Correlation between Corporate Dividend Policy and Stock Price
Authors: Lou Fangyuan
Published: April 2024

Based on the basic premise and assumption of building a multiple linear regression model and the correlation theory between corporate dividend policy and stock price, this paper adopts the multiple linear regression method of cross-section data to analyze the correlation between corporate dividend policy and stock price of 1458 enterprises from Choice financial terminal after strictly eliminating outliers. It is concluded that the significant positive correlation between dividend per share and stock price is stronger than that between fundamental indicators such as company total market value, return on equity, turnover rate of trading indicators and dividend distribution ratio and stock price, respectively. It is concluded that dividend distribution ratio is helpful to stabilize stock price fluctuations and improve investor return mechanism is beneficial to the healthy development of A-share market.
Improved Crab Algorithm Based on Chaos Theory and Its Application in Parameter Identification of Fresnel Refractive Index
Authors: Zhu Lifei , Zhang Lipu
Published: April 2024

The Crab Algorithm is an evolutionary algorithm inspired by the behavior of crabs, which balances global search and local optimization by simulating the behavioral strategies of crabs. This paper introduces chaos theory and proposes a chaos disturbance strategy. Chaos variables are introduced into the iteration process of the Crab Algorithm to perturb the position and velocity of individuals, thereby escaping local optima and achieving global optimization. Several test functions are used to compare the new algorithm with the original one, yielding better results. In the application of parameter identification of Fresnel refractive index, an optimization model is constructed, and the improved Crab Algorithm is applied to solve the model. The experimental results show that compared with the traditional Crab Algorithm, the improved algorithm proposed in this paper has significantly improved identification accuracy and convergence speed. In addition, by comparing with other optimization algorithms, the superiority of this paper's algorithm is verified.
Research on Deformation Monitoring of Roadway Surrounding Rock Based on Mobile 3D Laser Scanning Technology
Authors: Deng Haokun , Zhu Hongyang , Guo Jianping
Published: April 2024

Aiming at the problems of low data acquisition efficiency, unintuitive data form, low relative accuracy, and inability to continuously monitor the whole cross-section in traditional roadway rock deformation monitoring methods, a roadway rock deformation monitoring method based on mobile 3D laser scanning technology is proposed. Firstly, the mobile 3D laser scanning technology is used to obtain the real 3D point cloud data of the roadway surrounding rock; secondly, the multi-scale dimensional features are used to classify the 3D point cloud data, filter the invalid point cloud data, and form the accurate point cloud data of the roadway surrounding rock surface; then the 3D laser scanning is carried out on a regular basis for the deformation-prone areas of the roadway, and the Iterative Closest Point Algorithm (ICP algorithm) is used to align the overlapping part of the point cloud to achieve the point cloud splicing and point cloud stitching of the two scans. The point cloud splicing and point cloud overlapping of the two scans are achieved; finally, the multi-scale model-to-model point cloud comparison algorithm (M3C2 algorithm) is used to compare the point cloud data of the two periods of the roadway, and the appropriate parameters are selected to indicate the displacement change of the surface of the roadway rock with the size of the color value, so as to realize the monitoring of the deformation of the roadway rock in the three-dimensional full cross-section of the roadway. The method is applied to the deformation monitoring of the surrounding rock in the return roadway of 21407 working face in a coal mine, and the results show that: the mobile laser scanning technology can be used to obtain the complete point cloud data of the roadway, and the deformation area of the surrounding rock is successfully identified after the classification of the scanned point clouds in different time periods, the alignment of the point clouds, and the comparison of the point clouds, and the deformation condition of the surrounding rock of the roadway is visually reflected in the three-dimensional full-section deformation condition of the surrounding rock of the roadway. This method is suitable for monitoring the overall de-formation of the surrounding rock of the roadway under complex environmental conditions, and the de-formation of the surrounding rock is identified by different color areas.
Experimental Research on Impact Resistance Test of Polycrystalline Diamond Compact Based on Digital Image Correlation Method
Authors: Zhao Yuanjing , Shi Jian , Xu Xinfeng
Published: April 2024

In this study, the impact resistance of Polycrystalline Diamond Compact (PDC) was studied with DIT drop weight tester and high speed camera. The surface of PDC was analyzed by Digital Image Correlation (DIC). The reason of impact failure of PDC was obtained by using the surface strain field of PDC. The results show that local delamination occurs near the impact point of the polycrystalline layer. The brittle fracture occurs at the maximum tensile strain of the impact resistant composite sheet. The quantitative relationship between the surface strain and the image obtained by DIC can effectively reflect the whole process of PDC composite failure, and can reasonably explain the failure process of PDC composite, and provide scientific research methods for engineering applications.
Discussion on the Manifestation and Continuation of Cultural Inheritance in Dance Art Works
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. This article mainly takes Sun Ying's classical dance work "Tap Song" as the starting point to explore the manifestation and continuation of cultural inheritance in dance art works.
A Review of Pricing Research on Prefabricated Food Supply Chain Considering Blockchain Technology
Authors: Yang Jiarui
Published: April 2024

As the pace of urban life gradually accelerates, prefabricated foods that balance efficiency and health have come into the public view. Given the rapid development of the prefabricated food industry in China, studying relevant issues in the prefabricated food supply chain is of great significance. This article conducts a literature review by searching for keywords such as prefabricated foods, supply chain pricing, and blockchain technology, analyzing trends, and summarizing findings. It is found that research on prefabricated foods, both domestically and internationally, mainly covers aspects such as raw material processing, product quality, microbial contamination prevention and control, and nutritional value assessment. Regarding pricing decisions in food supply chains, the literature discusses the impact of food loss, inventory strategies, market demand, and pricing on profits. Additionally, researchers have explored the application of blockchain technology in food supply chains, including the influence of conditions and parameters on pricing decisions. Although existing research provides important insights into prefabricated food supply chain management, there are still some limitations. Future research directions include sustainability and environmental factors, emerging markets and international trade, and the application of digital and intelligent technologies. These studies will provide theoretical guidance and practical recommendations for the sustainable development and innovation of prefabricated food supply chains, supporting the establishment of efficient shared cooperative relationships.
Survey and Research on Enhancing the Employment Competitiveness of College Students
Authors: Liu Jiahao , Li Jinghao , Jia Cheng , Li Yinfeng , Wang Qisen
Published: April 2024

According to the previous announcement of the Ministry of Education, the number of college graduates in 2022 will again reach a record, 1.67 million more than in 2021. In that year's government worked report. "Employment" was mentioned 31 times. Whether college students have employed ability, is a major factor affecting employment. This study analyzes how to improve the employed ability of college students. First, the data are obtained in the form of questionnaires and interviews, and then the questionnaire results are statistically analyzed using chi-square test modeling method and the analytic hierarchy process. Finally, the employment model provides an important theoretical basis for the cultivation of college students' employed ability. A total of 102 questionnaires were collected. Conduct independent sample t-test to evaluate the relevance of the survey results. If p<0.05, the consequences are considered to be strongly correlated. Test analysis results in the questionnaire to ascertain the authenticity of the statistical results. According to the statistical analysis of the questionnaire, We can draw the following conclusions: many people have different choices, They have their own advantages and disadvantages, no matter whether they are seeking employment or upgrading their education, The specific effects vary from person to person. Upgrading their education can improve their competitiveness, but they may also miss the domestic employment environment. Employment may not satisfy themselves due to salary and other reasons. To sum up, we should continue to enhance and solve the employment problem of the future.
Financial Risk Analysis in the Operation of Sports Events from a Commercial Perspective
Authors: Deng Shan
Published: April 2024

With the acceleration of globalization, the sports industry has shown vigorous development momentum under the precise efforts of recent policies, gradually entering a new golden period of development. Various international sports events have flourished, becoming an important force in promoting the development of the global sports industry. Organizers of commercialized international sports events, as independent economic entities responsible for their own profits and losses, bear the important mission of promoting the development of the sports industry and enhancing international influence. They face risks and challenges from political, economic, cultural, and other aspects, while also being vigilant against the potential threats of financial risks. To meet these challenges, organizers must continually improve their financial management capabilities, strengthen risk assessment and prevention, to ensure the smooth progress of the event and the maximization of economic benefits. Only in this way can commercialized international sports events stand undefeated in the fierce market competition and contribute to the continuous and healthy development of the sports industry.
Innovative Behavior and Entrepreneurial Competence of Chinese College Students
Authors: Liu Yulu , Serrano Erlinda D.
Published: April 2024

The research focuses on innovative behavior and entrepreneurial capabilities in the context of literature awareness, creativity, novel approaches to problems, and adaptability in learning, laying the foundation for enhancing students' levels of innovation and entrepreneurship. These areas deepen the cultivation of students' innovative behavior and entrepreneurial abilities, improving the efficiency of their career development. The study has positively impacted the employment performance of students in relevant universities in Hubei Province, China, providing teaching support to help students develop innovative behavior and entrepreneurial skills. A random sample of 313 students was selected for the study, and data were analyzed through descriptive correlation design using the social science statistical software SPSS. The results indicated that the respondents were predominantly aged between 20-30 years (97.8%), with a majority being female (63.3%), and mainly sophomore students (44.1%). The scores for literature awareness (3.32), creativity (3.24), novel approaches to problems (3.24), adaptability in learning (3.21), model construction (3.22), industry component trends (3.26), profitability analysis (3.24), and experimentation with new ideas (3.25) were observed. The research concludes that elevating the levels of innovation and entrepreneurial capabilities among university students effectively promotes the enhancement of their innovative employment skills, including literature awareness, creativity, novel approaches to problems, and adaptability in learning. Ultimately, this strengthens the overall employability performance of university students. To facilitate the development of students' participation in class, innovative thinking, and entrepreneurial abilities, teachers need to implement relevant measures. For instance, adopting diverse assessment methods, integrating interdisciplinary comprehensive cultivation in teaching, and creating an environment encouraging expression and challenge can contribute to nurturing students' innovation and entrepreneurial skills, broadening their perspectives, and shaping them into confident and adaptable thinkers.
Mechanical Analysis of Adding External Elevators by The Different Placement to The Existing Buildings
Authors: Shi Mo , Huang Xiaoxian , Yeol Choi
Published: April 2024

Elevators are vital for accessibility in buildings, where they serve as lifelines for individuals with disabilities and contribute to the overall enhancement of modern living standards. Despite their significance, the absence of elevator infrastructure in older buildings presents formidable challenges, limiting accessibility and hindering the full utilization of these structures. Furthermore, in today's environmentally conscious society, green retrofitting initiatives are paramount for reducing energy consumption and emissions, particularly in the realm of residential buildings. Retrofitting existing structures with elevators has become increasingly imperative, given the continued use of numerous buildings over the past decades. As a response to these challenges, external elevator integration has emerged as a critical research area, addressing both accessibility issues and the imperative for green retrofitting in existing buildings. External elevator integration is a critical research area addressing accessibility and green retrofitting, and seismic design measures are necessary to mitigate earthquake risks. This research specifically focuses on assessing the seismic effects of the external elevator into the specific existing RC structure at Kyungpook National University using RSA (Response Spectrum Analysis). The findings of this research are anticipated to serve as a valuable reference for external elevator design in existing buildings and provide assistance in the reconstruction and retrofitting of aging structures, ultimately contributing to the safety and resilience of urban infrastructure.
Study on the Construction of New Tea Drinking Consumption Space under the Symbolic Perspective
Authors: Zhao Huayi , Kong Li
Published: April 2024

Under the dual background of urbanization and socialization, along with the rapid development of social media, the consumption orientation of China's consumer groups presents diversified characteristics, and new-style tea drinks are an important part of them. In this paper, we study the spatial production and business model of new-style tea drinks, and explore the construction of new-style tea drink consumption space under the symbolic perspective.
A Literature Review of Verbal Interaction Between Teachers and Students in High School English Listening and Speaking Classes Based on iFIAS
Authors: Zhang Liyue
Published: April 2024

In 2017, the curriculum nature of English Curriculum Standards for Senior High Schools (2020 Revision) emphasized that students should improve their ability of "autonomy, cooperation and inquiry", and "interaction" has become a key word in the field of educational research and practice. Flanders interaction analysis system (FIAS), proposed by American scholar Flanders, is a method to quantify the new orientation of classroom interaction. This paper reviews and collates the thesis from two aspects: "Classroom teacher-student verbal interaction" and "Flanders interactive analysis system", hoping to make some contributions to the research of teacher-student verbal interaction classroom in China.
Ethical Analysis of Amazon’s ‘Legal’ Tax Avoidance
Authors: Liang Yubo
Published: April 2024

This paper gives an overview of the ethical consequences of Amazon’s strategic tax avoidance, exploring its multifaceted impacts on society, economy and environment. Through a meticulous PESTEL analysis and the application of a comprehensive 7-step ethical decision model, the paper highlights that Amazon makes the most of legal loopholes to minimize tax obligations. It argues for the necessity of measures aimed at enhancing fairness, transparency, and ethical obligations in corporate tax practices, emphasizing the imperative for Amazon to integrate social responsibility and sustainable development. This analysis advocates for combined efforts between corporations, governments and communities to address and optimize current unethical tax practices.
Research on the Evolution Path of Supply Chain Financing for Small and Medium-sized Enterprises
Authors: Zhao Ling
Published: April 2024

Information asymmetry is the main reason why it is difficult and expensive for small and medium-sized enterprises to obtain financing. This paper uses the system dynamics method to construct an evolution model of the supply chain financing system of small and medium-sized enterprises, simulates the dynamic changes of the financing amount of the supply chain financing system of small and medium-sized enterprises, and explores the relationship between various influencing factors and their effects on the financing amount. The research shows that the supply chain financing of SMEs is a complex and dynamic system, and the overall financing amount has a significant cumulative effect, and is more sensitive to the solvency of SMEs, the relationship between core enterprises and financial institutions, government support, and the degree of supply chain information sharing. In order to alleviate the financing difficulties of small and medium-sized enterprises, the government should increase support for the supply chain financing of small and medium-sized enterprises, banks and other financial institutions should strengthen the supply chain financing service capabilities of small and medium-sized enterprises, small and medium-sized enterprises should pay attention to the improvement and upgrading of internal management, and the main body of the supply chain should strengthen cooperation and communication.
Multi-label Feature Selection based on Label-specific features and Manifold Learning
Authors: Wang Wanzhu , Liu Yong
Published: April 2024

Each instance in multi-label data is associated with multiple labels, and there are irrelevant or redundant features in its feature space, which leads to the performance degradation of multi-label learning algorithms. Multi-label feature selection selects representative features from the feature space to improve the accuracy of the model. Due to the high cost of labels and the difficulty of data collection, there will be some missing labels in the data set, which affects the accuracy of feature selection. To solve this problem, a multi-label feature selection algorithm based on label-specific features and manifold learning is proposed. The algorithm uses the linear relationship between the features and labels in known label samples to build a linear regression model for learning label-specific features. By using the nonlinear relation between instances and the nonlinear relation between features, we can precisely learn the label-specific features. We use the Laplacian feature mapping method to construct the instance manifold model and the feature manifold model, which are also used as the regular term constraint weight matrix. The final model can not only complete the missing labels, but also select sparse and representative features. The feature selection is carried out by analyzing the weight of the feature given by the final model. Experiments were conducted to verify the effectiveness of the proposed algorithm under different label deletion rates on four evaluation indexes.
Regulation and Mechanisms of Carbon Effects by Land Use Change
Authors: Zhang Zhouyuan
Published: April 2024

Land use change is one of the most direct and significant impacts of human activities on the Earth system. It not only changes the physical characteristics of the land surface, but also affects the energy, water, and material cycles of the Earth, and thus affects the global and regional climate change and ecosystem services. Among them, the impact of land use change on the carbon cycle is particularly important, because the carbon cycle is one of the most basic and critical cycles in the Earth system. It determines the greenhouse effect and climate sensitivity of the Earth, and also affects the biodiversity and productivity. This paper systematically analyzes the impact and mechanism of the carbon effects of land use change on different ecosystem types, different geographic regions, different climate conditions, different land use modes and management measures from different angles and levels, using various methods and models, evaluates the factors such as the size, direction, persistence, and sustainability of the carbon effects of land use change, proposes some evaluation and promotion of management techniques and measures, as well as policy suggestions and institutional designs for the carbon effects, and provides scientific basis and reference suggestions for the optimization and control of the carbon effects of land use change.
Application of Kimi Intelligent Assistant in the Teaching of Water Pollution Control Engineering Course
Authors: Chen Jiao , Li Shuxin , Huang Qin , Yan Siyu , Xie Zhitao , Lu Yixin
Published: April 2024

With the rapid development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread. This paper introduces the functional features of the Kimi Intelligent Assistant and elaborates on its application in the teaching of Water Pollution Control Engineering course from aspects such as assisting in lesson plan design, creating mind maps, answering questions, process design, exercise compilation, and extracurricular extended learning. Challenges and countermeasures of introducing Kimi Intelligent Assistant into the course teaching are analyzed from the perspectives of technology integration, teacher training, student acceptance, data security and privacy, cost, and curriculum content updates. The paper also provides a prospect for the further application of the Kimi Intelligent Assistant, suggesting that it is expected to become an important tool in promoting the technological development of future environmental engineering education.
The Causes and Strategies of Helping the Mathematics Students in Primary School
Authors: Sun Jiangran
Published: April 2024

This paper deeply probes into the causes of primary school math students' difficulties, and puts forward some countermeasures. Through the careful analysis of several cases, it is found that the formation of students with learning difficulties is mainly affected by learning environment, teaching methods, students' own factors and so on. In order to solve this problem, several measures such as creating a good learning environment, improving teaching methods and strengthening psychological counseling are put forward. These measures are helpful to stimulate the learning interest of students with learning difficulties, improve the learning effect of students with learning difficulties, and lay a solid foundation for future mathematics learning. At the same time, it also emphasizes the importance of home-school cooperation, and calls on parents to actively participate in the educational process of students with learning difficulties, and jointly promote the all-round development of students.
The Development of Human Psychology: Retrospect and Prospect of Three Major Theoretical Perspectives
Authors: Sun Yunmeng , Wang Xinjian
Published: April 2024

In the context of developmental psychology, many classic theories have provided insights and frameworks for understanding lifelong human development. The psychoanalytic theory holds a "nature determinism" tendency, focusing on the impact of early individual experiences on later development. Cognitive developmental theory emphasizes attention to action, suggesting that the essence of children's psychological development is the adaptation of the subject to the object through action. Social learning theory emphasizes the shaping role of later social experiences on individual psychological development, shifting the focus from genetics and environment to social factors. Future research could integrate relevant theories and propose comprehensive models to understand the lifelong development of human psychology.
Research on the Impact of Artificial Intelligence on College Students' Learning Based on the Entropy Power Method
Authors: Liu Jiahao , Jia Cheng , Li Jinghao , Zhao Pengyan
Published: April 2024

With the development of society，artificial intelligence [1] has gradually penetrated into all aspects of our lives, and has had different degrees of impact on different aspects of society. The development of artificial intelligence has a different degree of impact on all aspects of society and also affects the learning life of college students. In order to understand the impact of artificial intelligence on college students' learning at different levels, this paper designs a questionnaire to interview and analyse it, obtains the survey feedback results and analyzes and evaluates the results according to the survey. We first transformed the questionnaire data from textual data to numerical data，and invalid sample exclusion through case analysis. A total of 145 invalid samples were excluded to avoid errors in the post analysis. The data were validated for reliability analysis of this non-scale question based on the Cronbach_alpha coefficient. After that, determining the purpose of their own indicators - the impact of AI on students' learning, based on the purpose of the selected indicators, the questions in the questionnaire were screened, and questions that were considered to be the same indicator were grouped together to create "proficiency in learning software", "Dependence on AI learning tools", "Demand for the use of AI learning tools", "Tolerance for the use of AI learning tools", and "Acceptability of the future direction of educational development of AI" five indicators, and separately homogenise and assign points to the various indicators constituted by the selected questions, and finally form a complete evaluation system. We analysed the validity of all the questions in the questionnaire to derive the weights of the questions within the indicator. Calculate the evaluation value of each indicator, then differentiate the five indicators constructed in the second question into positive and negative indicators. An analysis of the weights of the five indicators based on the entropy weighting method reveals that the weight of the indicator "proficiency in learning software" is as high as 51 per cent. Finally, the five indicators are combined to calculate a composite evaluation value for the sample. Using Origin to make a comprehensive evaluation value line graph of the sample, analysing both the fluctuation of the value of the lines and the degree of intensity, and finally concluding that AI has a wide range of influence and a large degree of influence on college students' learning.
How to Help English Learners Reduce Speaking Anxiety
Authors: Gou Yaowen
Published: April 2024

With the implementation of NECS, the focus of English teaching has shifted from teacher-centeredness to student-centeredness. Students’ individual factors especially affection are emphasized. Among these, learning anxiety, as one of the most significant affective factors, has great impact on foreign language learning. Since English is seen as a tool for communication, it’s necessary to cultivate students’ oral English and communicative competence. However, it is inevitable that they will feel anxious when confronted with problems in the process of language learning. Thereby, some negative emotions such as tension and fear occur. These debilitative anxieties deemed as one of the most challenging problems in foreign language teaching and learning have adverse impact on their English learning. Therefore, this paper aims to have an in-depth research on the factors causing students’ speaking anxiety. Furthermore, the author hopes to seek for appropriate methods to relieve students’ speaking anxiety to some degree so that their expression ability of oral English and communicative competence can be improved eventually, the implication of this paper will be discussed as well.
Prediction of Heat Transfer Coefficient of Two Phase Flow Sodium Reactor Based on Artificial Neural Network
Authors: Yang Yangyang , Wang Zhan
Published: April 2024

Liquid sodium metal is one of the main coolants for fast neutron reaction in nuclear reactors with high heat load and high thermal conductivity. Sodium reactor is one of the most promising and commercialized reactor types in modern nuclear power system. Because the chemical properties of liquid sodium metal are very active, so in a sealed environment, it is easy to react with oxygen, water and other substances, resulting in an explosion. Therefore, it is necessary to design a reasonable experimental circuit and conditions under the appropriate experimental environment to carry out the experiment. With liquid metal sodium as the experimental medium, this paper studies the flow heat transfer characteristics of a two-phase flow sodium reactor by establishing a mathematical model. The key heat transfer parameters in a two-phase flow sodium reactor are predicted by building an artificial neural network model, and the parameters affecting the network performance are adjusted by the artificial neural network. The error of the final result predicted by the adjusted artificial neural network model is within the range of ±10%. The prediction results show that the prediction by the artificial neural network model has higher prediction accuracy.
Research on Big Data and Artificial Intelligence Driven Human Resource Management Innovation
Authors: Han Limin
Published: April 2024

This paper focuses on the application and innovation of big data and artificial intelligence in the field of human resource management. With the continuous development of information technology, big data and artificial intelligence have become indispensable and important tools in enterprise management. In the field of human resource management, the application of big data and artificial intelligence provides enterprises with more accurate and efficient management methods and promotes the innovation and development of human resource management. This paper first introduces the basic concepts and characteristics of big data and artificial intelligence, and then analyzes their applications and innovations in recruitment, training, performance management, and employee benefits. Next, the paper discusses specific cases of big data and artificial intelligence in human resource management and evaluates their effects and impacts. Finally, the paper summarizes the roles and challenges of big data and artificial intelligence in human resource management and looks ahead to the future.
Research on the Resilience Assessment of Cross-border E-commerce Supply Chains under the RCEP Agreement
Authors: Zhang Yiran
Published: April 2024

Under the RCEP (Regional Comprehensive Economic Partnership) agreement, cross-border e-commerce supply chains face the multiple risks that can lead to supply chain disruptions, severely affecting a nation's economic security, trade stability, and international market competitiveness. Enhancing supply chain resilience is a key method to address supply chain disruptions. This study, based on an analysis of the characteristics of cross-border e-commerce supply chains, utilizes Grounded Theory and Social Network Analysis to construct an evaluation indicator system. The resilience indicator system for cross-border e-commerce supply chains under the RCEP agreement developed in this study aids in the efficient and stable development of businesses.
Development Status of Intelligent Traffic Management System
Authors: Wu Rui
Published: April 2024

The intelligent traffic management system is the most important part of the intelligent traffic system. The research and analysis of the development status of the intelligent traffic management system can provide a research basis for its future development. This paper studies the three subsystems of the intelligent traffic management system: the intelligent traffic monitoring system, the By comparing the research methods used by scholars in different time periods for intelligent information service systems and signal control systems, it is found that with the application of technologies such as the Internet of Vehicles, big data, Internet of Things, and deep learning, the level of intelligent traffic management system management is constantly rising.
Analyzing the Impact of Innovative Features in New Social Networks on User Engagement and Content Sharing Dynamics
Authors: Ye Hedi , Li Ruyang
Published: April 2024

This study investigates the effects of novel functionalities on user behavior across emerging social media platforms. Employing a mixed-methods research design, the study integrates quantitative analysis of engagement metrics with qualitative feedback from user interviews and surveys to assess how augmented reality (AR) filters, ephemeral content, and algorithmic curation influence engagement and content sharing. Results indicate these features significantly enhance user interaction, suggesting that innovation is key to user retention and active participation. Additionally, the study examines the double-edged nature of algorithmic curation, balancing user experience personalization against the risks of creating informational echo chambers. The implications of these findings extend to various stakeholders in the digital ecosystem, including content creators, marketers, technology developers, and policymakers, emphasizing the importance of user-centric innovation and ethical considerations in platform development. This research contributes to the broader understanding of social media evolution and its impact on digital communication practices.
The Long-cycle Elderly Care Service Model for Young People: A Case Study of Financial Elderly Care Services Based on Virtual Digital Human Technology
Authors: Guan Xinwei , Wang Yao , Chen Dengkai
Published: April 2024

There is a lack of financial elderly care services for young people in China. Such services in traditional ways are unlikely to meet their future needs because of the decreasing workforce. Therefore, the current study aims to establish long-cycle financial elderly care services for young people through virtual digital human technology. Five young people are first interviewed about financial elderly care services; then, a survey is conducted for another sixty young people; after that, needs for financial elderly care services are extracted from the interview and the survey. Based on such needs, this study proposes a financial elderly service model built on design strategies including effective service touchpoints, clear communication, personalized service design, and immersive interaction, which is displayed on an App called REME. This model can be a reference for designing long-cycle elderly care systems.
The Implications of Motivation Theories for How Tesco
Authors: Di Xing
Published: April 2024

Keeping a position in a competitive market is difficult for an organization, In today's market. To improve organizational performance and productivity, motivating employees should be a top priority. The purpose of the essay is to consider and compare some motivation theories and analyze the relationship between motivation theories and organizational performance. This paper attempts to prove the influence of employee motivation, by analyzing the measures and plans for motivating employees and discussing the implementation of the motivation theories, based on the Tesco case.
Research on the Design of Elderly Space from the Perspective of Environmental Psychology
Authors: Xu Huili
Published: April 2024

With the aggravation of the degree of aging in China, the residential design of the elderly is also getting more and more attention. However, the current residential design in China is not comprehensive enough to consider the needs of the elderly, and modern residential areas bring many inconveniences to the lives of the elderly. How to meet the needs of the elderly and better adapt to the aging society has become an urgent problem in residential design. Based on the perspective of environmental psychology and the physiological and psychological characteristics of the elderly, this paper attempts to conduct a preliminary exploration of residential design for the elderly.
Exploring the Tragic Aesthetics in Hamlet and the Differences with Traditional Chinese Aesthetic Views
Authors: Wang Yongcai
Published: April 2024

Tragedy, as an important form of human art, transcends time and space with its profound emotions and noble spiritual content, becoming a carrier of cultural resonance around the world. In different cultural backgrounds, the aesthetics of tragedy presents a variety of styles. These differences are reflected not only in aesthetic orientation but also in expressive techniques and value pursuits. Hamlet, as a distinguished representative of Western tragedy, constructs a unique and magnificent tragic tableau through its deep psychological analysis, complex character development, and intense conflict. The complexity and contradiction of human nature are vividly displayed in this work. In contrast, traditional Chinese aesthetic concepts place more emphasis on harmony, balance, and inner beauty. This aesthetic orientation emphasizes the moderation of emotions and moral education, pursuing a restrained and implicit beauty. In traditional Chinese tragedies, characters are often more reserved and implicit, with more controlled and moderate emotional expression. Comparing the tragic aesthetics in Hamlet with traditional Chinese aesthetic views reveals significant differences in several aspects. This comparison helps us understand more deeply the art of tragedy under different cultural backgrounds, recognize the complexity and diversity of human nature, and profoundly appreciate the fragility and preciousness of life.
Investigation and Analysis of the Application of Efficient Classroom Model in High School Music Appreciation Course
Authors: Liu Chunhui , Wong Huey Yi@Colleen Wong
Published: April 2024

In China, the efficient classroom teaching model is also known as the "6+1" teaching model, which was first applied to cultural courses, such as math, chemistry and English."6+1" refers to the six segments of classroom teaching, including "guide", "think", "discuss", "show", "assess", "check"; the second part is the "1" in the efficient 6+1 model, which is called "use", which is a learning segment carried out in the self-study after class (Ma, 2023). It emphasizes the students' subject position and focuses on cultivating students' independent learning ability and innovative thinking. But whether this teaching mode is suitable for high school music appreciation courses has not yet been researched in a targeted way. The cultivation and improvement of independent learning ability has become an important symbol of deepening teaching reform (Du, 2020). Therefore, the efficient classroom mode was adopted for classroom teaching in the high school music appreciation course, and after four weeks of teaching practice, questionnaires on music learning attitudes, learning styles, and learning goals as the main content were administered to teachers and students respectively. The results of the study showed that after the teaching of the efficient classroom model, teachers were positive about the instructional model, and students' learning attitudes became more positive. Students also listen to more musical works on their own. The results of the study are expected to provide some useful references and lessons for the reform and development of high school music education in China.
On Subtitle Translation of American TV Series from the Perspective of Functional Equivalence Theory
Authors: Li Qiaoxi
Published: April 2024

With the development of globalization and cross-cultural communication, more and more artistic works are introduced into the promising market, China, including film and television works, music and novels. Of which, American TV series have become one of the hottest subjects, which arose enthusiastic pursuit and discussions among Chinese. Compared with domestic TV series, it contains more exciting plots and beautiful background music. What’s more, the quality subtitle is an essential part of this introduction. Regarding the theory put forward by Roman Jacobson, the founder of Prague school, translation is divided into three categories: intralingual translation, interlingual translation and intersemiotic translation, and subtitle translation is kind of interlingual translation. It means an interpretation of source language by means of target language. For film and television works, subtitle acts as a bridge between source language and audiences of target language as well as playing the role of communication and transformation of original emotions and image, which is the best illustration of functional equivalence theory developed by Eugene Nida. Differentiate from traditional literary translation, subtitle translation has its own unique features despite its being an emerging field. It has spatial and time constraint and must reproduce the content of source language as accurately and elegantly as possible within the limited time, as a result, this paper intends to carry out a further study on subtitle translation and functional equivalence theory. In 2018, the American TV series Killing Eve created a fad at home and abroad and the successful subtitle translation definitely contribute to it. In my perspective, its subtitle translation can be considered the great illustration of the principles and requirements of functional equivalence theory, which is a best case to study. From the perspective of functional equivalence theory, the paper has potential to produce a better understanding of subtitle translation's classification, features and related study at home and abroad. Give priority to the role of functional equivalence theory played in subtitle translation so as to give a boost to its development.
African American’s Identification in Early Civil Rights Movement
Authors: Luo Jie
Published: April 2024

Lorraine Hansberry is a prestigious African American writer who creates a classical work The raisin in the sun. Under the backdrop of early Civil Rights Movement, the play centers on male protagonist Walter and three other family female members’ identification when living in that white-dominated community. Their identification represents in two ways: merging into the mainstream society and returning to the ancestral culture or even district. The key to identity is one’s value and social behavior. It is imperative and indispensable for one to find his or her self-value in accordance with personal and social backdrop and experience.