bluuebunny/crossref_metadata_2025 huggingface dataset:
An Empirical Study on the Relationship between Capital Structure and Firm Performance: A Case Study of Listed Manufacturing Enterprises in Hebei Province
Authors: Guo Zhouqi
Published: September 2024

The financial data of Hebei Province's listed manufacturing enterprises from 2013 to 2022 is used in this paper to build a multiple linear regression model, and two-way fixed effect regression is used to examine the relationship between capital structure and corporate performance of these enterprises. The findings indicate that the retained earnings ratio and the gearing ratio of Hebei Province's listed manufacturing enterprises have a significant positive correlation with corporate performance, while the current liability ratio and the current liability ratio have a positive correlation. Based on this, this paper proposes two methods to maintain a reasonable asset-liability ratio and current liability ratio, optimize the capital structure of listed manufacturing enterprises in Hebei Province, and raise the enterprise's own capital as well as the ratio of retained earnings in profit distribution.
Transformation and Contradiction: Reconstructing Art in the Perspective of Artificial Intelligence
Authors: Wu Qingwen
Published: September 2024

With the continuous advancement of the Internet, big data and artificial intelligence technology, it has brought far-reaching impacts and potential opportunities to traditional art, and at the same time continues to shape its content and form. From generating art to analyzing and preserving artworks to innovating the art market, AI is reconfiguring the ecosystem of art in an unprecedented way, which expands the boundaries of art creation, and promotes the integration of art and technology. However, the reconfiguration of art also faces many challenges and opportunities. The balance between technology and humanities is crucial to prevent art from losing its humanistic connotation due to over-reliance on technology. At the same time, we also need to face the limitations of AI algorithms and the originality of art works, to reveal the internal mechanism and external manifestation of art reconstruction, and to further explore the path of art development under the symbiosis of human and AI.
Numerical Simulation Study on the Effective Distance of Pressurized Ventilation in Gas Tunnel Construction
Authors: Diao Zongbo , Suo Liang , Guo Jun
Published: September 2024

The ventilation of gas tunnel construction has always been a difficult point in the construction of gas tunnels, and the construction risk is high, and the ventilation cost is large. How to efficiently and quickly analyze the gas emission of different sections and take corresponding ventilation measures can improve the safety of gas tunnel construction and reduce the consumption of funds. Therefore, in this paper, the source term of gas emission is used to deal with it, and the actual pollution source is regarded as the source term in the air at a small distance from the wall of the tunnel face, and its emission is the actual emission of the tunnel gas source, and the source term S of these units is equal to the amount of gas generated per unit volume and unit time. Numerical simulation analysis can be carried out more vividly for the improvement of the construction safety of gas tunnels. In recent years, with the proposal of China's "double carbon" goal, the requirements for green construction have also been raised to a new height, and the ventilation standards for gas tunnel construction are getting higher and higher.
Application Research of Unmanned Aerial Vehicle Remote Sensing Technology in Agricultural Pest and Disease Monitoring
Authors: Liu Hui , Liu Wuping , Cao Yi
Published: September 2024

This study aims to explore the application of unmanned aerial vehicle (UAV) remote sensing technology in agricultural pest and disease monitoring to improve monitoring efficiency and accuracy. Through literature review and empirical research, the current application status, advantages, and challenges of UAV remote sensing technology in agricultural pest and disease monitoring were systematically studied. The study first analyzed and summarized the principles and characteristics of UAV remote sensing technology, and then conducted case studies and field investigations on its specific application in agricultural pest and disease monitoring. The research results show that UAV remote sensing technology has the advantages of high resolution, high spatiotemporal coverage, and high efficiency in agricultural pest and disease monitoring. It can provide multi-source data acquisition and analysis during crop growth to achieve rapid identification and dynamic monitoring of agricultural pest and disease. The findings of this study have important implications for guiding the application and promotion of UAV remote sensing technology in agricultural pest and disease monitoring.
Path Planning Techniques for Underwater Robots Based on Obstacles in Subsea Oil Pipelines
Authors: Liu Qiang , Zhang Rendan , Jia Hongli , Wang Dian
Published: September 2024

With the continuous growth of global energy demand, the safety and maintenance of underwater oil pipelines have become a focal point of international concern. Autonomous Underwater Vehicles (AUVs) are increasingly pivotal in inspection, maintenance, and repair of oil pipelines. This paper explores path planning techniques for underwater robots based on obstacles in subsea oil pipelines to enhance operational efficiency and safety. Employing theoretical analysis and simulation, the study systematically addresses key issues in path planning, including environmental modeling, obstacle recognition, path generation, and optimization. By constructing complex underwater environment models and integrating advanced algorithms such as improved ant colony optimization, genetic algorithms, and particle swarm optimization, the research investigates path planning strategies for AUVs under various obstacle distributions. The results demonstrate that the proposed path planning techniques effectively handle obstacles in subsea oil pipelines, significantly improving planning efficiency and robustness. Additionally, the feasibility of multi-robot collaborative path planning is discussed, providing theoretical support for future advancements in underwater robotics. Overall, this study offers new technological insights for the maintenance of underwater oil pipelines and is crucial for enhancing the intelligence level of underwater operations.
Random Vibration Simulation Analysis of an Electronic Cabinet
Authors: Liu Baiming , Peng Ye , Jiang Xin , Wang Haojie
Published: September 2024

This paper provides a brief introduction to the theoretical foundations of random vibration simulation analysis, using the random vibration simulation of a specific electronic cabinet as a case study. The processes of model building, meshing, boundary condition setting, modal analysis, and random vibration simulation analysis are described. The simulation results verify the rationality of the structural design and identify targets for optimization, providing a solid theoretical basis for subsequent product optimization and engineering practice.
Research on the Status Quo and Pathways of Enterprise Green Innovation under the Background of the Digital Intelligence Economy
Authors: Xie Xiyue
Published: September 2024

With the booming digital intelligence economy, the innovation mode of enterprises has been affected, making green innovation and sustainable development a prevailing trend. This paper discusses the status quo and pathways of enterprise green innovation in the context of the digital intelligence economy. It also discusses how digital intelligence technology can be used to promote sustainable development, providing theoretical and practical guidance for Chinese enterprises.
An Empirical Study on the Promotion of Enterprise Technology Innovation by Vocational Education
Authors: Li Wenqiang , Wang Hechun , Li Xin
Published: September 2024

Based on the adaptation theory, this paper constructs an evaluation system for how vocational education promotes technological enhancement in enterprises from four aspects: talent training process, talent training quality, school-enterprise cooperation and enterprise technology improvement. Through correlation analysis and regression analysis, the paper establishes a demand-supply matching model for this evaluation system based on adaptation theory. This paper presents an empirical study of relevant data from six vocational colleges in Liaoning Province to examine how these colleges contribute to technological enhancement in enterprises. Research has shown that the three independent variables of talent cultivation process, talent cultivation quality, and school enterprise cooperation in vocational education have a significant impact on enterprise technological innovation and improvement. Based on the results, this paper discusses the findings and offers specific recommendations.
Programming and Debugging of Multi-layer Elevator with Teaching Function
Authors: Mao Lina , Yuan Zhenguo
Published: September 2024

With the development of modern economy and urban life, elevator has become an indispensable means of transportation in people's daily life. The traditional relay elevator control system greatly reduces the reliability and safety of the elevator system due to the large mechanical and electromagnetic inertia of the relay itself. In order to ensure that the elevator operation is efficient, energy-saving, safe and reliable, the elevator control mode must be improved. Programmable logic controller (PLC), developed according to the needs of sequential logic control, is an electronic device for digital operation specially designed for industrial environment application. PLC has fast processing speed and high reliability, which can ensure the normal, safe and reliable operation of the elevator. The elevator controlled by touch screen is convenient and operable, which has become the choice of more and more high-end elevators. Traditional elevator control methods often rely on physical buttons, which are prone to wear and failure after a long time of use, affecting the normal operation of the elevator. The touching screen control mode is more durable, and the operation is more intuitive and easy. Passengers can quickly select their destination floor with just a touch of the screen, greatly enhancing the elevator experience.
Research and Practice on the Relationship between Employment Positions and Education for Students in Mechanical Manufacturing and Automation at Vocational Colleges
Authors: Shuangyin Wang , Binze Han , Hongli Jia
Published: September 2024

This study aims to explore the relationship between employment positions and education for students majoring in mechanical manufacturing and automation at vocational colleges. It analyzes the intrinsic connections between teaching content, methods, and students' employability from a theoretical perspective. Employing literature review and theoretical analysis, the research constructs a theoretical framework encompassing four dimensions: teaching objectives, content, methods, and student employability. Under this framework, the study delves into how teaching objectives influence content selection, how content is transformed into employability through various teaching methods, and how these abilities are manifested in the job market. The findings suggest that vocational colleges should consider industry demands and future job characteristics when designing the curriculum for mechanical manufacturing and automation, optimizing content and methods to enhance students' professional skills and overall quality, thereby boosting their employability. Additionally, the study highlights that the close integration of education and employment aids in increasing student employment rates, and reflects the adaptability of vocational education to socio-economic development needs.
Analysis and Reflection on the Strategy Benchmarking of Power Battery Management in China and Europe
Authors: Wang Pan , Cheng Ming , Wang Xiuxu
Published: September 2024

In 2023, the European Union (EU) enacted the Regulation on Batteries and Waste Batteries (hereinafter referred to as the New Law on Batteries), which strengthens the regulatory framework for the entire lifecycle of power batteries. This development presents both challenges and opportunities for global power battery manufacturers and operators. As a significant player in the global power battery industry chain and the world’s largest producer of electric vehicles and power batteries, China must systematically assess the impact of global battery management strategies, including the EU’s New Law on Batteries, from a lifecycle perspective. This understanding is crucial for maintaining China’s competitive edge in the global power battery market and achieving mutually beneficial outcomes in international trade negotiations. This paper constructs a strategy analysis framework based on the lifecycle approach. By summarizing the power battery management strategies of both the EU and China, it provides a comprehensive overview of strategies across different countries, highlights the key regulatory focus areas, and offers relevant strategy recommendations. The main conclusions and insights are as follows: (1) The New Law on Batteries achieves lifecycle regulation from “cradle” to “grave” and back to “cradle”. (2) China emphasizes the management of waste power batteries, with an increasingly robust strategy system at the recycling stage, yet lacks comprehensive measures for other lifecycle stages. (3) The EU has established a comprehensive lifecycle strategy management system centered on the New Law on Batteries, characterized by strong coordination and a synergistic combination of strategies across different sectors. Finally, this paper identifies three major compliance challenges posed by the New Law on Batteries, necessitating enhanced strategy development and implementation in the areas of carbon footprint management, circular economy, and digital battery passports.
Application of Image Processing Techniques in Agricultural Remote Sensing UAVs
Authors: Liu Hui , Liu Wuping , Cao Yi
Published: September 2024

This study aims to explore the application of image processing techniques in agricultural remote sensing UAVs to improve the accuracy and usability of agricultural remote sensing data. Through literature review and empirical research, the current application status, advantages, and challenges of image processing techniques in agricultural remote sensing UAVs were systematically studied. The study first analyzed and summarized the principles and characteristics of image processing techniques, and then conducted case studies and field investigations on their specific applications in image preprocessing, feature extraction, and image classification. The research results show that image processing techniques have high accuracy and usability in agricultural remote sensing UAVs, enabling the extraction of agricultural features and identification of crop diseases. However, challenges such as complex data processing, diverse method selection, and algorithm optimization still exist in the application of image processing techniques in agricultural remote sensing UAVs. The findings of this study have important implications for guiding the application and promotion of image processing techniques in agricultural remote sensing UAVs.
Construction of Intelligent Perception Network Based on Rocket Assembly Workshop
Authors: Niu Li , Fan Wei , Shen Dingxian , Guo Bing , Li Qiang , Meng Qinglong
Published: September 2024

The rocket assembly is a crucial link in the rocket production process. With the increase of national space missions, how to quickly adapt to the high-density launch stage and improve the efficiency and quality assurance of the assembly workshop has become an urgent problem to be solved. Aiming at the problems of the low production efficiency caused by low information level of production site and the low intelligent degree of material management and distribution, an intelligent perception network based on the rocket assembly workshop is proposed in this paper. This intelligent perception network is equipped with functionalities such as intelligent perception, adaptive adjustment, data communication, remote monitoring, and management. It is designed to not only increase the intelligence level of assembly workshops but also effectively address the issue of low production efficiency.
Research on the Reform of Management Accounting Teaching Mode under Background of Artificial Intelligence
Authors: Zhao Yan , Li Yiqun , Wang Lifang
Published: September 2024

Through the research on the reform of management accounting teaching mode under the background of artificial intelligence, this paper puts forward some reform measures such as updating the teaching content, innovating the teaching method and reforming the teaching evaluation. In terms of updating the teaching content, this paper proposes to integrate artificial intelligence technology into the teaching content of management accounting, add cutting-edge courses such as data analysis, data mining and intelligent decision-making, and update traditional courses such as cost management and budget management to combine them with artificial intelligence technology. In terms of teaching method innovation, this paper proposes to adopt the combination of online and offline teaching mode, introduce cases of data analysis and prediction model, and introduce diversified teaching methods such as case teaching and simulated practical training. In terms of teaching evaluation reform, this paper proposes to build a holographic data monitoring system for learning process based on artificial intelligence technology to provide personalized learning suggestions and feedback, so as to achieve scientific and accurate teaching evaluation.
A Study on the Path of Cultivating Healthy Behaviors for Junior High School Students Based on Physical Core Accomplishment
Authors: Yuwei Han
Published: September 2024

The content of physical core accomplishment includes physical morality, healthy behavior, and sports ability. Teachers cultivate students' healthy behavior based on physical core accomplishment, which can improve their physical fitness and promote healthy development of their bodies. Therefore, teachers need to fully value the cultivation of students' healthy behavior. This paper mainly explores the path for physical education teachers to cultivate healthy behavior among students based on core competencies.
Survey of the Continuing Care Needs of Patients after Heart Valve Surgery
Authors: Cui Ji , yaya Ma , Lei Wang , Yuan Wang
Published: September 2024

This paper is to investigate the needs for extended care of patients after heart valve surgery.A total of 80 patients with heart valve surgery were selected to participate in this study, and then they were divided into groups (routine group and experimental group). The conventional group and the experimental group were treated with routine nursing and extended nursing respectively to analyze and compare the effect. The ADL scale scores of the two groups were compared. The scores of the conventional group before and after treatment were 10.24±1.24 points and 21.30±2.25 points, respectively, while the scores of the experimental group after treatment were 24.09±1.29 points, and the situation of the experimental group was relatively better (p < 0.05). Through the analysis and comparison of the complications of the two groups, the complications of the observation group were lower than those of the conventional group, and there was a certain difference between the two groups (p < 0.05). The overall situation is good, and it can improve the quality of life and reduce the occurrence of complications.
Clinical Case Report on Electroacupuncture Combined with Warm Acupuncture for the Treatment of Painful Ophthalmoplegia (Tolosa-hunt Syndrome)
Authors: Zhang Sheng , Ma Yingchao
Published: September 2024

Tolosa-Hunt Syndrome (THS) is a rare and complex clinical syndrome characterized by severe headache, orbital pain, and multiple cranial nerve palsies. The precise etiology of THS remains unclear, though it is hypothesized to be related to immune system deficiencies, viral infections, or nonspecific inflammation. Due to its low incidence, THS is infrequently encountered in clinical practice. This case report presents a 39-year-old female patient with THS who was successfully treated with a combination of electroacupuncture and warm acupuncture. The patient's symptoms included left eyelid ptosis, left-sided headache, and reduced eye movement, which initially responded to high-dose steroid therapy but recurred upon cessation. After discontinuing steroid treatment, the patient received comprehensive acupuncture therapy aimed at soothing the liver and gallbladder, tonifying Qi, activating blood, and unblocking channels to relieve pain. Over the course of more than 30 acupuncture sessions, the patient's symptoms significantly improved, with complete resolution of pain and restoration of eye function. This case highlights the potential of acupuncture as an effective alternative treatment for THS, providing valuable insights for the management of this rare condition. Future research should further explore the mechanisms and efficacy of acupuncture in treating THS and other cranial nerve disorders.
Study on the Application of Cardiac Ultrasound in the Diagnosis and Evaluation of Cardiac Function in Patients with Chronic Heart Failure
Authors: Yu Ruofeng , Yu Ruoyu , Wu Yating , Fang Shou
Published: September 2024

The objective of this study was to examine the potential of cardiac ultrasound in the diagnosis and evaluation of cardiac function in patients with chronic heart failure. This study aimed to address the high morbidity and mortality associated with chronic heart failure. In terms of research methods, the latest progress in cardiac ultrasound technology and its application in the diagnosis of chronic heart failure was reviewed. The role of cardiac ultrasound in the evaluation of cardiac structure (such as ventricular size and wall thickness), valvular disease detection and cardiac function (such as ejection fraction measurement) was analyzed. Important results indicate that echocardiography, a non-invasive, dynamic detection method, can accurately assess cardiac structure and function in patients with chronic heart failure, providing comprehensive information for diagnosis and reference for optimization of treatment options. Cardiac ultrasound has significant application value in the diagnosis and cardiac function evaluation of patients with chronic heart failure, which is beneficial for improving diagnostic accuracy and prognosis.
Progress in Computer-aided Diagnosis of Lung Nodules based on CT Images
Authors: Yu Ruofeng , Yu Ruoyu , Wu Yating , Fang Shou
Published: September 2024

The objective of this study is to review the research progress of computer-aided diagnosis of pulmonary nodules based on CT images. This is done in order to address the challenges posed by the increasing incidence and difficulty of diagnosis of pulmonary nodules. Through an in-depth analysis of the key technologies, algorithms and application cases in the diagnosis of pulmonary nodules, we sought to identify how computer technology can be used to improve the accuracy and efficiency of diagnosis. The study found that CT images have the advantages of high resolution and multi-dimensional reconstruction in the detection of pulmonary nodules. However, interpreting CT images still requires specialized medical knowledge. Computer-aided diagnosis technology can assist doctors to identify lung nodules more accurately, especially for nodules with similar density to the surrounding tissue. This can improve the sensitivity and specificity of diagnosis. In conclusion, the computer-aided diagnosis system based on CT images provides substantial support for the accurate diagnosis of pulmonary nodules, which is beneficial for the improvement of patient health management and the formulation of treatment plans.
Advances in the Use of Positronic Radiomolecular Imaging Agents in the Diagnosis of Parkinson's Disease
Authors: Yu Ruofeng , Yu Ruoyu , Wu Yating , Fang Shou
Published: September 2024

The objective of this study was to examine the potential of positron radioactive molecular imaging agents for the diagnosis of Parkinson's disease (PD). With the increasing prevalence of aging and the rising incidence of PD, early diagnosis is of paramount importance to enhance the quality of life of patients. In terms of research methods, this study analyzed the application of positron emission tomography (PET) and computed tomography (CT) technology and its combination with positron radioactive molecular imaging agents in the diagnosis of Parkinson's disease (PD), with particular emphasis on the use of glucose metabolism imaging agents, including 18F-fluoro-2-deoxy-D-glucose (18F-FDG). The findings of the study demonstrate that the integration of PET/CT technology with positron radioactive molecular imaging agents offers a comprehensive approach to the diagnosis of PD. This approach provides valuable functional and metabolic information about the brain of PD patients, and enables the accurate localization of lesions with high specificity and sensitivity, making it a highly effective and well-tolerated diagnostic tool. The utilization of positron radioactive molecular imaging agents in the diagnosis of PD has the potential to significantly enhance the accuracy and efficiency of diagnosis, thereby facilitating early detection and treatment of PD.
Epidemiological Analysis of Primary Hepatocellular Carcinoma Death and Its Mechanism of Promoting Cancer
Authors: Lin Sitong
Published: September 2024

Primary liver cancer (PLC) is the sixth most common cancer globally and the third leading cause of cancer-related deaths worldwide, ranking as the second leading cause of cancer deaths in China. Hepatocellular carcinoma (HCC) is the main histological type of PLC. Globally, 56% of PLC cases are due to Hepatitis B virus (HBV) infection, while 20% are due to Hepatitis C virus (HCV) infection. Chronic HBV infection is the main cause of PLC in East Asian countries including China, whereas HCV infection and non-alcoholic fatty liver disease are the main causes in most Western countries. This article analyzes the epidemiology of primary liver cancer deaths both domestically and internationally, as well as the impact of HBV infection on the survival of HCC patients, discussing the significant role of HBV infection in HCC. It explores the specific mechanisms through which HBV infection regulates TERT transcription via HBV-TERT integration, impacting the progression of HCC, and provides insights for clinical research on liver cancer.
Innovative Application and Practical Exploration of Traditional Shadow Art under the Perspective of Digitization
Authors: Chang Anqi
Published: September 2024

The purpose of this paper is to discuss the innovative application and practical exploration of traditional shadow art under the perspective of digitalization. With the continuous progress of science and technology and the arrival of the digital era, traditional culture and art are facing new challenges and opportunities. As one of China's intangible cultural heritages, how to revitalize shadow art in the wave of digitization has become an urgent problem to be solved at present. This paper start from the current situation of the application of digital technology in shadow art, analyze the impact of digital technology on shadow art, explore the innovation path of traditional shadow art under the perspective of digitization, and combine with practical cases to analyze the impact and promotion of digitization on traditional shadow art, aiming at providing references and lessons for the digital transformation of traditional culture and art.
An Analysis of Amir’s Growth and Redemption in The Kite Runner from Freud’s Theory of Personality Structure
Authors: Ying Zhai , Ruilan Liang
Published: September 2024

This article delves into Amir's character in "The Kite Runner", exploring his growth and redemption through Freud's personality structure theory. Amir's evolving traits and interpersonal relationships across different life stages are meticulously analyzed, revealing the intricate interplay between his personality and behavior. This study goes beyond the theoretical framework, offering insights into how Amir's personality traits manifest in his actions and choices. Ultimately, the paper proposes actions that can mitigate the impact of similar personality traits on the development of young people in our society, contributing to a deeper understanding of both Amir's character and the broader influence of personality on individual growth.
Digital Technology Age: Images and Filters in Relation to Self-Representation on Social Media
Authors: Chen Qian
Published: September 2024

This essay will deal with the following aspects of the question that explore the implications of the development of digital images and filters for the social media and software, how people's self-presence reflects images and filters on social media and technology photo editing tools, and explore the self-representation related and determined by images and selfies.
Development of Professional Competence in Broadcasting and Hosting in the Social Media Environment
Authors: Chen Longcan
Published: September 2024

With the increasing prominence of social media in global information dissemination, the education and cultivation of professional competence in broadcasting and hosting should meet the demands of the evolving times. This study aims to explore the cultivation model of professional competence in broadcasting and hosting in the social media environment, in order to establish a set of talent cultivation strategies that are suitable for the new media landscape. Through a literature review, this study systematically examines the connotations and development changes of professional competence in broadcasting and hosting, and analyzes the new requirements posed by the social media environment. Using a combination of theoretical analysis and logical reasoning from the perspectives of communication and education, this study critically analyzes existing teaching models in the field of broadcasting and hosting, and proposes a theoretical framework. This framework emphasizes the importance of media literacy and puts forward a series of cultivation measures, such as updating course content, innovating practical teaching methods, and providing guidance for personal branding. Throughout the process, this study particularly highlights the impact of social media on skills, ethical awareness, and innovation in broadcasting and hosting. Finally, the study concludes that the cultivation of professional competence in broadcasting and hosting should pay more attention to the integration and innovation of social media skills, as well as the shaping of personal branding, in order to cultivate professionals who can adapt to the development of digital media.
Research on the Status, Challenges and Countermeasures of the Intercultural Communication of Chinese Opera Culture in the Omnimedia Era
Authors: Wang Siwen
Published: September 2024

The Chinese opera is a local art in China and an important carrier of Chinese culture. It embodies the spirit of Chinese aesthetics, and is generally recognized as a recognizable representative of Chinese culture and art. In the omnimedia era, the omnimedia platforms enable Chinese opera to appear frequently on the international stage. Meanwhile, the digital technology plays an important role in promoting the cross-cultural communication of opera culture, which make global audiences can enjoy Chinese opera culture through omnimedia channels and gradually increase their acceptance of it. Therefore, the effect and influence of Chinese opera culture in international communication is significantly improved. However, it should be noted that cultural differences are the main obstacles to the intercultural communication of Chinese opera in the omnimedia environment. The copyright and intellectual property right in the omnimedia environment limit the international communication of Chinese opera culture, and there are contradictions between the localization and the globalization needs of opera culture in the omnimedia promotion. To this end, it is necessary to present in-depth cultural interpretation and exchange on the all-media platform to bridge the cultural differences between China and foreign countries, establish corresponding international cooperations and legal protection mechanisms to deal with copyright and intellectual property issues, and use omnimedia to innovate the promotion of opera culture to achieve a balance between localization and globalization. These methods can enhance the cross-cultural output of Chinese opera culture and the international communication intensity and effectiveness of it, so as to enhance the cultural soft power construction and the international influence of China.
Journalism and Communication Education Enabled by Artificial Intelligence: Reflections on the Construction of Majors and Professional Groups
Authors: Chen Yang , Li Bijie , Huang Zhangzhong
Published: September 2024

With the rapid development of artificial intelligence technology, its application in the field of news communication has become an important driving force to promote education reform and professional construction in this field. The purpose of this study is to explore the practice and thinking of journalism and communication education enabled by artificial intelligence, especially in the construction of majors and professional groups. By using literature analysis and case study, this paper systematically reviews the application status of artificial intelligence technology in news gathering, editing, distribution and user interaction, and analyzes how these technologies affect the curriculum setting, teaching methods and students' ability cultivation in news communication education. Further, based on expert interviews and questionnaire surveys, this study identifies the challenges and opportunities in AI-enabled journalism and communication education, and puts forward corresponding strategies for the construction of majors and professional groups. The research results show that the integration of artificial intelligence technology has brought new teaching content and methods to journalism and communication education, promoted the cultivation of students' interdisciplinary ability, and also put forward higher requirements for the education system and educators. In order to cope with these changes, it is suggested that journalism and communication major should strengthen the cross-integration with computer science, data science and other fields in the construction of professional groups, and strengthen practical teaching and project-driven learning to cultivate students' innovative ability and critical thinking ability. This study provides theoretical guidance and practical reference for the professional construction and teaching reform of journalism and communication education in the era of artificial intelligence.
Analysis of the Development Path of New Guochao Animated Short Films from the Perspective of Revitalization of Excellent Traditional Culture - Taking "Yao-Chinese Folktales" as an Example
Authors: Zhanchao Ouyang
Published: September 2024

Based on the era background of globalization and digitalization, China is entering a new stage of cultural consciousness and cultural self-confidence, and the national level attaches great importance to and actively promotes the development of Chinese excellent traditional culture. In this context, New Guochao animation short films, as an important carrier of contemporary cultural and creative industries, carry the cultural mission of connecting the past and the future, tradition and modernity. However, the New Guochao animation short film has encountered challenges in the tide of revitalizing traditional culture, mainly due to the problems of single character shaping and lack of plot innovation, such as the weak main story line and the insufficient reflection of the traditional cultural core, the animation expression sticking to the tradition, the development of surrounding commodities lagging behind, restricting the release of market potential. These problems have become the constraints of the development of this type of short film. By deconstructing the successful case of the New Guochao animation short film "Yao-Chinese Folktales", it vividly reveals how the work realizes the organic unity of the inheritance of traditional cultural spirit and modern expression through multiple strategies such as artistic material selection, exquisite story connotation transmission, and creative integration into excellent traditional culture. In the context of the revitalization of excellent traditional culture, in order to seek a sustainable development path, New Guochao animation short films need to adapt to the development characteristics of the context of the revitalization of excellent traditional culture, covering content creation, dissemination channels and target audience positioning.
Research on Export Flow and Potential of Agricultural Products in China Based on Machine Learning Algorithm
Authors: Cai Zhenjun
Published: September 2024

The MLR (multiple linear regression) method in machine learning algorithm is a comprehensive method to study the correlation of variables, and it is also an important measure to study the relationship between variables by using linear fitting method. By combining qualitative analysis with quantitative analysis, this paper will use MLR model to make an empirical analysis of the determinants of agricultural trade flow, and use the estimated parameters to calculate the agricultural trade potential of China. The results show that the economic scale and distance have an important influence on the export flow of agricultural products in China, indicating that the economic scale is an important factor affecting the export flow of agricultural products. Regional trade arrangements have dual effects of trade transfer and trade creation, and free trade arrangements have created favorable conditions for trade expansion between countries with different demand and income levels. China's exports to Russia, Thailand, Singapore, the Philippines, Malaysia and Indonesia are in a state of deficiency, and there is still potential for developing agricultural products exports to these countries.
Statistical Measurement of Zhuhai's Digital Economy Development Level Based on Entropy Method
Authors: Xue Jian , Zeng Yan , Sun Hongyou , Wang Yuhai
Published: September 2024

Against the backdrop of the increasing popularity of mobile internet and the expanding commercialization of fifth-generation mobile communications (5G), the digital economy is booming with continuous innovations and integrations of internet technologies such as artificial intelligence, blockchain, cloud computing, and big data. As one of the special economic zones, Zhuhai has emphasized in its work report the need to "vigorously develop the digital economy." Based on panel data from Zhuhai and its surrounding cities from 2018 to 2022, this paper empirically measures the level of digital economic development in Zhuhai and conducts a deep analysis of its development from the perspective of temporal characteristics. The research results indicate that: (1) Among various evaluation indicators of the digital economy, the output value of the communication and other electronic equipment manufacturing industries (in tens of thousands of yuan) has the greatest impact on the development of the digital economy, followed by the total volume of telecommunications business (in tens of thousands of yuan). The number of internet broadband users (in tens of thousands of households) and FTTH/O fiber-optic access users (in tens of thousands of households) have relatively smaller impacts. (2) In terms of temporal characteristics, the annual growth rate of Zhuhai's digital economy exhibits a steady decline, which differs from that of surrounding cities. (3) Regarding spatial characteristics, the development of the digital economy is highly unbalanced among different cities in Guangdong, and there is still a significant gap between Zhuhai and its surrounding cities. Based on the measurement results, countermeasures and suggestions are proposed to enhance the digital economic development in Zhuhai.
Social Support and Elderly People’s Happiness in China: Evidence from the Chinese Longitudinal Healthy Longevity Survey (CLHLS)
Authors: Xu Li , Mao Chunyu , Cheng Kaiqiang
Published: September 2024

To investigates the direct effect and indirect effect of three different types of social support on elderly people’s happiness, and to provide some suggestions for improvement. This descriptive and analytical study was carried out on 8,082 elderly who come from the CLHLS in 2018 dataset. Moreover, we conducted data analysis in 2 steps using multiple linear regression. The empirical results indicate that three dimensions of social support have a significantly positive effect on elderly people’s happiness. Furthermore, the indirect effect of family support and community support on elderly people’s happiness via the mental health is positive, while the indirect effect of relevant sector support on elderly people’s happiness via the mental health is not significant. Simultaneously, the indirect effect of social support on elderly people’s happiness via the physical health is also not significant. Social support has a considerable positive impact on happiness among elders. Thus, we suggested that an all-round, multi-level social support system should be developed to improve elderly people’s happiness.
Analysis of Economic Benefits of Scenario-based Transformation of Business Models: Taking Suning.com as an Example
Authors: Lin Yifan
Published: September 2024

With the rapid development of science and technology and economy, the performance of traditional retail enterprises has been declining, and in order to change this unfavorable situation, they have to develop in the field of e-commerce. The O2O model that passes through the online and offline channels is no longer competitive in the market, and now the market is more focused on personalized service that puts the customer in the first place, and Suning.com, as a representative retailer, first put forward the smart retail model. Through the transformation of business model scenario to improve the quality of service, so that users have a better service experience. The transformation of business model scenario makes changes in the economic benefits of the enterprise, and the changes in the economic benefits of the enterprise also reflect the effect of the transformation of business model scenario. In this paper, Suning eBay Group Co. Ltd. is selected as the research object, and the development process of Suning eBay's business model scenario transformation is studied through the economic benefit analysis of Suning eBay's annual reports from 2017 to 2022, so as to analyze the impact of the business model scenario transformation on the enterprise's economic benefits. Through the in-depth analysis of the case, the research conclusions are summarized to provide reference for other retail enterprises.
Research on the Integration and Innovative Development of Logistics Industry and Manufacturing Industry in Anhui Province
Authors: Ding Heping , Wang Hui , Hu Fagang , Xu Fangyu
Published: September 2024

The integration and innovative development of logistics industry and manufacturing industry (LMIID) can promote the high-quality development of economy. Based on the actual development of Anhui Province, the article constructs the evaluation index system of the LMIID, takes the development data of Anhui Province from 2013 to 2022 as the support, utilizes the entropy value method and the coupling coordination degree model to measure the coupling degree and the coupling coordination degree of the two industries in Anhui Province, and then utilizes the linear regression model to explore the influencing factors of the LMIID. The results found that the coupling coordination degree of logistics industry and manufacturing industry in Anhui Province is on the rise as a whole, but there are large fluctuations. Its influencing factors are mainly: development environment, science and technology innovation level, economic development level and labor force level. On this basis, suggestions are put forward to promote the LMIID, with a view to promoting the in-depth integration of the two industries in Anhui Province and promoting the development of the economy in the direction of high quality.
Theoretical Analysis of Trade and Circulation Statistics in Regional Development
Authors: Shao Wei
Published: September 2024

This paper aims to explore the theoretical analysis of commercial circulation statistics in regional development, emphasizing its crucial role in promoting the optimization of regional economic structure and enhancing competitiveness. The study employs methods of literature review and theoretical construction to systematically sort out the basic concepts, functions, and applications of commercial circulation statistics in regional development. Firstly, the paper defines the scope of commercial circulation statistics, including the statistical indicator systems for commodity circulation, service circulation, and information circulation. Secondly, it analyzes the impact mechanisms of commercial circulation statistics on regional economic development, such as optimizing resource allocation, promoting industrial upgrading, and enhancing market transparency. The paper further constructs a theoretical framework for the interaction between commercial circulation statistics and regional development, exploring the applications of commercial statistical data in decision support, industrial guidance, and market monitoring. Finally, the paper concludes that commercial circulation statistics are not only an important tool for measuring regional economic vitality but also a key factor in promoting the sustainable development of regional economies. By enhancing the accuracy and timeliness of commercial circulation statistics, it can effectively support the formulation and implementation of regional development strategies, promoting balanced and coordinated economic development.
Reconstructing Ḥadīth Discourse in the Digital Age: From Text to Discourse
Authors: Salman Abdul Matin bin
Published: September 2024

This article explores the transformation of the Prophet's ḥadīth from a fundamental religious text into a living discourse within culture and the practices of Muslims in the digital era. Technology and digital media have reshaped the understanding, dissemination, and integration of prophetic values into daily life. Using hermeneutic approaches, critical discourse analysis, and historical-comparative linguistics, this article examines how new methodologies in the social sciences and humanities provide deeper insights into these changes. Additionally, the article highlights the importance of considering both historical and contemporary shifts in the understanding of ḥadīth, including the impact of modernity and globalization. The analysis considers the role of scholars, institutions, and digital platforms in shaping new interpretations and applications of ḥadīth. The findings suggest that while traditional understandings of ḥadīth remain influential, there is an increasing openness to diverse interpretations that address contemporary issues and challenges faced by Muslim communities worldwide. The results indicate not only a growing openness to diverse interpretations but also reveal specific ways in which modernity and globalization have redefined traditional ḥadīth scholarship, influencing both the content and context of these interpretations.