bluuebunny/crossref_metadata_2025 huggingface dataset:
Characteristics of the Evolution of Resource and Environmental Carrying Capacity in Shaanxi Province
Authors: Dai Penghui
Published: August 2024

This paper constructs a resource and environmental carrying capacity index system based on the DPSIR model, and adopts the entropy weight TOPSIS method to analyze the resource and environmental carrying capacity of Shaanxi Province in terms of time series and spatial distribution. The results show that from 2010 to 2020, the resource environmental carrying capacity of Shaanxi Province in general shows a fluctuating upward trend, and on the whole there is a small decrease in 2017 compared with 2016 and 2020 compared with 2019, and an increase in 2019 compared with 2018; in terms of the characterization value of the resource environmental carrying capacity of each city, Yan'an City is in the first place for a long period of time, and it is stable in the top three with Yulin and Xi'an; each The resource environmental carrying capacity of each city shows a gradual convergence state, indicating that the difference between their carrying capacity gradually decreases. Finally, this paper makes corresponding suggestions for the improvement of the resource and environmental carrying capacity of Shaanxi Province from five aspects: economic development, low-carbon development, resource and environmental load reduction, population growth, and environmental infrastructure construction.
Economic Policy Uncertainty, Financing Model and Financial Fragility
Authors: Zhang Ping
Published: August 2024

Based on the study of different financing models, this paper discusses that different financing models in China 's capital market have different regulatory effects on the relationship between economic policy uncertainty and financial vulnerability. The study found that economic policy uncertainty has a significant role in promoting corporate financial vulnerability, while bank loans and credit claims have a significant mitigation effect on the relationship between economic policy uncertainty and financial vulnerability, while the mitigation effect of bond claims is not obvious. This paper verifies the impact of different financing modes on economic policy uncertainty and financial vulnerability in China 's capital market, and puts forward policy suggestions for improving corporate financing channels and expanding financing scale.
The Research Progress in the Development of China's Health Industry
Authors: Fang Chunjie , Ab Yajid Mohd Shukri , Tham Jacquline
Published: August 2024

In recent years, China's health industry has been developing rapidly, and research on it has been gradually enriched. In order to explore the current research progress on the development of China's health industry and make a summary of the previous research. This paper provides an overview of the existing research in terms of the connotation and extension of the health industry, the emergence and development history of China's health industry, the current situation of China's health industry, the main factors affecting the development of the health industry, and the development mode and path of the health industry. Summaries the existing research results, identify the deficiencies in the research field, and put forward suggestions for further research.
Gamified Teaching Design and Practice for the Elderly within the Framework of Proactive Health
Authors: Huang Zixian , Ding Boya , Yuan Xinran
Published: August 2024

This paper adopts the DMC pyramid model as the theoretical foundation for gamification design. By considering the gaming capabilities of the elderly, a coherent game logic is developed. This logic serves as the basis for designing or adapting physical games tailored to the elderly, integrating health knowledge into the game content. The games are interconnected through a reward system, culminating in a comprehensive and actionable community health communication activity. This approach outlines a gamification-based pathway for elder-friendly health communication, ultimately enhancing health literacy and promoting proactive health among the elderly.
The Effect of Short Video Dissemination and Optimization Strategy of Agricultural Science and Technology Journals
Authors: Zhang Yuting
Published: August 2024

This topic focuses on the dissemination effect and optimization strategy of short videos of agricultural science and technology journals such as Journal of Agricultural Engineering on WeChat Video. By analyzing its content, core concepts and theoretical foundations, it explores the realistic logic and current situation of improving dissemination effectiveness. The study will analyze the dissemination effectiveness based on the data (e.g., comments, likes, and favorites) of the video number, aiming to reveal the dissemination potential and challenges of agricultural science and technology journals on the short video platform. Ultimately, targeted optimization strategies will be proposed to promote the wide dissemination of agricultural science and technology information, and help agricultural high-quality development and scientific and technological innovation.
How are Mozart’s Operas Indebted to Enlightenment Ideals?
Authors: Cui Ying
Published: August 2024

This paper undertakes a rigorous examination of the Enlightenment ideals embodied within Mozart's operas and their subsequent influence. Mozart's musical compositions were profoundly shaped by the Enlightenment era, reflecting the aspirations of freedom, democracy, and equality. The article points out that Mozart incorporated cultural elements and enlightenment ideas from different countries into his opera creation, especially his work Don Giovanni was deeply influenced by cultural traditions, combining musical tragedy with comedic characteristics. The article also mentions that Mozart embodies the idea of equality in the Enlightenment through the assignment of roles in the opera, and each character has the opportunity to have direct contact with Don · Giovanni, showing the directness and equality of the characters. In addition, the article discusses how Mozart spread the ideas of the Enlightenment through his opera, and how his operas reflected the spirit of freedom, reason, and openness. "Don Giovanni" can become his masterpiece, through careful character shaping and musical stage design, it conveys the core values of the Enlightenment, has a profound impact on the society at that time, and has become a classic in the history of music.
The Implementation Dilemma and Promotion Strategy of Aging-Friendly Renovation Policy in China
Authors: Xu Qian
Published: August 2024

At present, my country's population aging is becoming increasingly severe, and the degree of population aging continues to deepen, and the demand for the construction of my country's elderly care service system is more urgent. This paper uses the Smith model to analyze some of the implementation difficulties faced by my country's aging-friendly transformation policy in the promotion and implementation. The study found that the policy itself, the implementing agency, the target group, the external environment, etc. are all facing difficulties. Based on this, this paper puts forward corresponding suggestions. The demand for the construction of my country's elderly care service system during the "14th Five-Year Plan" period is more urgent. The main manifestation is that the degree of aging continues to deepen. By the end of 2020, the number of elderly people over 60 years old in my country will reach 260 million. In the next five years, the number of elderly people aged 60 and above will increase at a rate of about 10 million per year. China's population aging has become increasingly severe. Against this background, the supply of social public products and public services and the construction of cities need to actively respond to the impact of aging, continue to promote aging-friendly construction and renovation, and provide a livable and healthy environment for the elderly. In the "Opinions on Strengthening Aging Work in the New Era", my country proposed to introduce relevant aging-friendly renovation standards, promote family aging-friendly renovation, promote the "smart help for the elderly" action, and accelerate the promotion of aging-friendly renovation of Internet applications and mobile terminals and APP applications commonly used by the elderly. However, from the practical situation, there are still certain obstacles in the implementation of aging-friendly renovation policies. Most of the existing research is carried out from the actual construction and renovation of aging-friendly facilities, lacking policy research at the macro level. In view of this, based on the policy implementation model proposed by Smith, this paper analyzes the obstacles and difficulties faced in the implementation of my country's aging-friendly transformation policy, and proposes corresponding promotion strategies based on a problem-oriented approach.
The Influence Effect of Foreign Direct Investment on the Resource Mismatch in The Beijing-Tianjin-Hebei Region
Authors: Li Linna
Published: August 2024

In order to explore whether the continuous influx of foreign direct investment helps to improve the resource mismatch in the Beijing-Tianjin-Hebei region, this paper makes an empirical analysis of the data of the Beijing-Tianjin-Hebei region from 2003 to 2019, and finds that the inflow of FDI has a significant positive impact on the regional resource mismatch, especially the resource mismatch of capital factors. On this basis, a dynamic panel model was added to further verify the positive effect of FDI on improved capital mismatch. The study also found that the impact of foreign direct investment on resource mismatch in Beijing-Tianjin-Hebei region has very obvious regional heterogeneity, which shows the improvement effect of foreign direct investment on capital mismatch in Hebei region, but no obvious improvement effect on Beijing and Tianjin. Therefore, in order to further improve the Beijing-Tianjin-Hebei region resources mismatch, accelerate Hebei economic development to narrow the gap with the Beijing and Tianjin, increase and effective use of foreign direct investment is a favorable for economic high quality development, suggested that the government in the FDI inflow at the same time, strengthen the regional coordinated development, promote resource balanced allocation, improve the regional resource coordination and allocation, in order to realize the sustainable development of the Beijing-Tianjin-Hebei region as a whole.
Research on Green Innovation Capacity Based on Carbon Emission Trading System
Authors: Huang Shenglong , Hu Lingyun
Published: August 2024

Realizing energy conservation and emission reduction, promoting green development, and realizing the harmonious coexistence of human and nature are the major themes of today's social and economic development and corporate environmental management. This project intends to select China's most representative carbon trading system as the research object, and empirically examine the effect and mechanism of carbon trading system on the enhancement of enterprises' green innovation ability by establishing a double-difference model and adopting the panel data of A-share listed companies in Shanghai and Shenzhen during the period of 2007-2021. The results of the study show that: (1) the implementation of the carbon emissions trading policy effectively promotes the green innovation behavior of enterprises; (2) in the heterogeneity analysis, the policy has a more significant impact on the green innovation of the enterprises in the eastern region, state-owned enterprises, and enterprises in high-technology industries; (3) in the process of carbon emissions piloting, the R&D investment of the enterprises plays the role of policy substitution for the green innovation, and the public's concern for the environmental issues degree has a positive moderating effect on enterprises' green innovation. This study reveals the influence mechanism of carbon emissions trading policy on enterprises' green innovation, provides theoretical support and practical reference for sustainable development, and helps the government to formulate policies, enterprises to respond to policies, and guides enterprises to achieve better results in environmental aspects. The results of the study have a positive effect on advancing enterprise environmental protection, promoting green transformation, and realizing the harmonious coexistence of man and nature.
Strengthen the Foundation and Practice Orientation: Exploration of Teaching Reform in Machine Learning Courses
Authors: Wang Yan
Published: August 2024

Machine learning has become a core technology in the field of artificial intelligence with its excellent performance and wide range of applications. Traditional machine learning course teaching models often focus on theoretical explanations and lack sufficient practical guidance, making it difficult for students to apply their knowledge to solve practical problems. This article explores feasible ways to reform the teaching of machine learning courses, by strengthening the close integration of basic knowledge and practical skills, as well as optimizing course evaluation methods, significantly improving students' learning effectiveness and practical application abilities.
Research and Design of Disinfection Equipment for Public Places
Authors: He Sihui
Published: August 2024

The starting point of my design is to redesign the existing product based on the post-epidemic era to make different functional definitions and styling changes.The scientific and technical issues, functional layout distribution, target population and usage scenarios were all well thought out before making the choice.Secondly, this paper focuses on the existing market and the pain points of disinfection products in public places and points out that different disinfection methods face different effects. In addition, reasonable solutions to the different pain points are identified. The future trends and applications of disinfection products in public places are also presented.By taking into account the existing information and the future design, we redesign the disinfection process in public places and provide a reasonable psychological analysis of the population to create safer and more secure sanitary conditions for people in the post-epidemic era.
Research on the Scope of Obligations of China's Short Video Platforms in the Era of Digital Copyright
Authors: Wang Nan
Published: August 2024

In order to balance the interests of right holders, network service providers and users, China first stipulated the "notice-takedown" rule in the Regulations on the Protection of the Right of Information Network Dissemination in 2006. Since the Internet industry is in the early stage of development, the copyright environment is relatively clear, and network service providers do not have to bear high obligations, so the allocation of copyright protection obligations in the rules is reasonable at that time. However, with the iterative development of digital technology and the Internet, various short video platforms have also risen rapidly in domestic and foreign markets. Therefore, it is necessary to re-determine the scope of obligations of short video platforms, summarize the key points of controversy between the theoretical and practical circles on the scope of obligations of short video platforms, point out the problems existing in the scope of obligations of short video platforms, and discuss the role of short video platforms in the obligation of active review, notification and review, and post-event protection obligations. Conduct an in-depth analysis of the extent of the obligations to be undertaken, and redefine the scope of obligations of the short video platform on this basis, with a view to balancing the interests of all parties and promoting the sustainable and healthy development of the short video industry.
Smart Wearable Technology Integrating Sustainable Materials to Enhance the Quality of Life for Disadvantaged Groups
Authors: Zhao Xiaoyun
Published: August 2024

Smart wearable technology plays a crucial role in enhancing the quality of life for vulnerable populations. This research comprehensively addresses their individualized needs physiological, psychological, aesthetic, and rights protection while considering environmental and economic aspects. By leveraging machine learning, the study predicts behavioral characteristics and incorporates intangible cultural heritage to design smart, personalized, and sustainable wearable devices.
The Interactive Study of Legal Risk Management and Litigation Dispute in the Business Environment
Authors: Yang Xinfang , Fan Yunting , Li Linbin , An Kejia
Published: August 2024

This study discusses the mutual influence and cross-relationship between legal risk management and litigation dispute management in the business environment. With the intensification of globalization and digitalization, the legal risks faced by enterprises are increasingly complex and diverse, and litigation disputes occur frequently. This paper, on the basis of the basic concept and framework of legal risk management and litigation dispute management, analyzes the influence of legal risk management to reduce litigation disputes, the feedback of legal risk management strategy and the interaction between the two, reveals the weak link in legal risk management, and the improvement of litigation dispute feedback. It is found that effective legal risk management can significantly reduce the occurrence probability of litigation disputes, and the management experience of litigation disputes in turn provides practical feedback for legal risk management and promotes its optimization and improvement. This paper puts forward specific suggestions for improving legal risk management and litigation dispute management in the business environment, including comprehensive risk identification and assessment, scientific strategies and tools, systematic system construction, active culture construction and advanced technology application. Through these measures, enterprises can improve the ability to prevent and control legal risks in the complex and changeable business environment, reduce the occurrence of litigation and disputes, and maintain the ability of competitive advantage and sustainable development.
The Potential and Models of Agricultural Utilization of Reclaimed Mine Land
Authors: Huang Zhisheng
Published: August 2024

This study delves into the potential and models of agricultural utilization of reclaimed mine land, analyzing its significant role in environmental restoration, economic development, and social stability. The research indicates that through scientific planning and management, reclaimed mine land can be transformed into highly productive agricultural land, while also promoting the recovery of the ecological environment and the sustainable development of the socio-economy. The paper proposes agricultural utilization models that integrate the characteristics of reclaimed mine land, emphasizing the application of ecological agriculture concepts in land reclamation, and analyzes the positive impact of agricultural utilization on the socio-economic development of mining areas. The study also explores the relationship between agricultural utilization and the sustainable development of mining communities, highlighting the importance of policy support and community participation. Finally, the paper summarizes the innovative points and practical significance of the research and points out future research directions.
Research on Optimization Strategies for Logistics Construction in Zhoukou Port
Authors: Liu Tingfeng , Zhu Weifeng
Published: August 2024

Zhoukou Port is one of the 91 major ports planned by the country and the only major port in Henan Province. Therefore, studying the logistics construction of Zhoukou Port plays a crucial role in promoting the commercial circulation, logistics development, industrial upgrading, and economic transformation of Zhoukou and its surrounding cities. This article first analyzes the current development status of logistics construction in Zhoukou Port, then identifies the problems in development and proposes solutions, providing theoretical basis and practical guidance for the construction of port logistics in Zhoukou City.
Research on Lithology Identification based on Machine Learning
Authors: Li Kunkun
Published: August 2024

Machine learning has great potential in lithology identification. Through supervised learning, unsupervised learning, semi-supervised learning, deep learning and other methods, features can be automatically extracted from complex seismic data and logging data to achieve efficient and accurate lithology classification. These methods not only improve the accuracy and efficiency of lithology identification, but also reduce the workload of geologists, allowing them to focus on higher-level analysis and decision making. Despite significant progress, machine learning still faces many challenges in lithology identification. First, data quality and quantity limitations remain a major problem, especially in certain areas where obtaining high-quality seismic and logging data is difficult. Second, the training and interpretability of complex models also need to be addressed, especially because the "black box" nature of deep learning models makes it difficult for geologists to understand their internal mechanisms and predictions. In addition, the generalization ability and overfitting of models, as well as the need for real-time data processing in practical applications, are also urgent challenges to be solved. To address these challenges, this paper proposes several solutions and future directions. Data enhancement and synthesis techniques can extend existing data sets and improve the robustness and accuracy of models. The development of interpretative models and visualization tools helps geologists understand and trust the decision-making process of models. Multi-source data fusion technology can effectively use multi-source heterogeneous data such as seismic data, well logging data and geological map to improve model performance. Online learning and transfer learning technologies can update models in real time, improve the adaptability and generalization ability of models, and develop more accurate and interpretable models.
Research on the Mechanisms by Which Green Finance Policies Promote Low-Carbon Economic Development
Authors: Li Haotong
Published: August 2024

This paper explores the mechanisms by which green finance policies promote low-carbon economic development, analyzing their implementation effects and challenges in China, and proposing corresponding policy recommendations. Green finance, defined as financial activities supporting environmental protection and sustainable development, aims to direct funds towards environmentally friendly and low-carbon projects. It includes green credit, green bonds, green investment funds, and green insurance, and involves providing preferential loans, issuing green bonds, establishing investment funds, and developing insurance products to support green projects and reduce environmental risks. Additional policies such as green incentives, environmental information disclosure, green ratings, and international cooperation further enhance the effectiveness of green finance. The mechanisms by which green finance policies promote low-carbon development include guiding funds to low-carbon industries, optimizing resource allocation, promoting technological innovation, supporting industrial structure transformation, enhancing market competitiveness, and promoting socially responsible investment. Despite significant progress, challenges such as insufficient supply of green finance resources, regional disparities in policy implementation, limited innovation in green finance products, and imperfect information disclosure and regulatory systems remain. The paper concludes with policy recommendations to increase policy support, improve information disclosure and regulatory systems, promote product innovation, strengthen regional coordinated development, and enhance international cooperation.
Exploration of the Influencing Factors of Farmers' Willingness and Behavior in New Media Marketing under the Background of “Digital Commerce and Rural Development”
Authors: Zhang Qiongqiong
Published: August 2024

Under the background of “Digital Commerce and Rural Development”, utilizing new media for marketing has become the main way to expand the sales of agricultural products.This paper takes farmer survey data as a sample, based on the theory of planned behavior, explores the influencing factors of the “Digital Commerce and Rural Development” policy, and establishes a model of the influencing factors of farmer’ new media marketing willingness and behavior in the new media environment.Research has found that subjective norms have become the most important factor influencing farmers’ attitudes towards using new media for marketing agricultural products. The policy of  Digital Commerce and Rural Development’ has become the most important factor affecting farmers’ intention to use new media for marketing agricultural products. Perceived behavioral control does not have a significant impact on farmers’ attitudes and intentions towards using new media for marketing agricultural products.From the aspects of strengthening the concept of new media marketing, carrying out training of new media marketing, building a public service support system, and cultivating and introducing professional and technical personnel, this paper provides policy suggestions for enhancing farmers’ willingness to carry out new media marketing.
The Influence of Jianjiang on Modern and Contemporary Landscape Painting
Authors: Zhang Rui
Published: August 2024

Jianjiang is a pioneering landscape painter in the late Ming Dynasty and early Qing Dynasty. His works are austere, cool, dry and quiet. Jianjiang learned from tradition and nature, combined with his own emotional personality, formed a unique painting language and artistic outlook. The formal language in Jianjiang landscape painting works is rich, and the schema presented is unique. Jianjiang's painting art has been around for hundreds of years. When reading Jianjiang's works, people still feel a strong sense of form and times. His distinctive painting language and spiritual connotation have a very profound influence on future generations of painters.
The Study on the Influencing Factors of Consumer Purchase Intention in Live-Streaming Sales
Authors: Liu Yuya , Luo Xiangyu
Published: August 2024

This study focuses on the influencing factors of user purchase intention in e-commerce live streaming. Based on the SOR theory model, a research model is constructed from the perspective of consumer perception. The results show that the popularity, professionalism, and homogeneity of e-commerce streamers, as well as the price discounts and content quality in e-commerce live streaming product features, and the spatial and social presence in e-commerce live streaming presence features, can directly and positively affect users' purchase intention. At the same time, they can significantly and positively affect perceived value, and perceived value has a significant indirect mediating effect between e-commerce live streaming features and users' purchase intention.
The Impact of Corporate Social Responsibility on Employee Job Satisfaction
Authors: Xiong Mingming , Arguelles Roberto M.
Published: August 2024

Corporate Social Responsibility (CSR) has evolved into a pivotal determinant of corporate development within the contemporary business landscape. With globalization advancing and societal expectations escalating, enterprises are increasingly viewing the fulfillment of social responsibilities not merely as a philanthropic endeavor but as a crucial avenue to enhance competitiveness and achieve sustainable growth. CSR encompasses environmental stewardship, safeguarding employee rights, engaging in community outreach, upholding business ethics, and more. Through these initiatives, organizations not only improve relations with external stakeholders but also foster positive internal impacts, notably enhancing employee job satisfaction. Research indicates that when companies prioritize CSR, they bolster employees' sense of pride and belonging, thereby elevating overall job satisfaction and consequently enhancing corporate performance. Hence, delving deeply into the influence of corporate social responsibility on employee job satisfaction is not only of profound theoretical significance but also offers practical guidance for corporate endeavors, promoting a mutually beneficial development for both enterprises and their employees.
Research on the Performance Evaluation of Listed Liquor Companies based on the Entropy Weight and Closeness Degree Method
Authors: Tang Maorong , Yang Liu
Published: August 2024

In this paper, based on the 2023 annual report data of 18 listed liquor enterprises, adaptation indicators are selected as research samples, performance evaluation system is constructed, entropy weight method and correlation value method are combined, and the performance evaluation of listed liquor enterprises is carried out. 12 indicators are selected and SPSSAU software is used to conduct empirical research on the performance of listed liquor enterprises. The correlation value of 18 liquor enterprises is calculated and the comprehensive performance of the enterprises is sorted to provide relevant help for investors' decision-making.
From Virtual to Reality: How VR, AR, XR, MR are Reshaping Our Lives and Work
Authors: Li Qingtian
Published: August 2024

This article explores the transformative effects of Virtual Reality (VR), Augmented Reality (AR), Extended Reality (XR), and Mixed Reality (MR) on various aspects of daily life and professional environments. These technologies, collectively known as immersive technologies, are reshaping how we live, learn, and work by offering enhanced interactive experiences and new ways to perceive and interact with the world. The paper reviews their applications across key sectors such as healthcare, education, the workplace, and entertainment. In healthcare, VR and AR are revolutionizing patient care and medical training. In education, these technologies are enhancing learning experiences by providing immersive and interactive environments that facilitate greater engagement and understanding. In the workplace, XR and MR are improving collaboration and training, especially in remote settings. Additionally, in the realm of entertainment, they offer unprecedented immersive experiences that increase engagement. The article also discusses the challenges these technologies face, including technical limitations, high costs, and privacy concerns, and considers their future development and potential societal impacts.
Research on Application and Development of Artificial Intelligence in Image Processing
Authors: Wang Weixiang
Published: August 2024

With the rapid development of computer technology and artificial intelligence (AI), image processing technology is more and more widely used in various industries. Image processing is not only the core of computer vision, but also an important part of modern information technology. This paper aims to discuss the application status and future development trend of artificial intelligence in image processing, and reveal the huge potential and broad prospect of artificial intelligence in image processing by in-depth analysis of key technologies such as image recognition, image classification, image segmentation and image generation.
A Review of Early Gas Intrusion Detection based on Multiphase Flow Model
Authors: Li Wei , Hu Mingsu
Published: August 2024

High content gas reservoirs in deep reservoirs have complex pressure systems, and gas penetration occurs frequently during drilling, trip or other drilling operations. Due to the compressibility of gas and its easy solubility in drilling fluid, gas penetration in ultra-deep Wells is often sudden and hidden. In the early stage, it is difficult to find and fully alleviate gas invasion, which is very easy to induce blowout accidents. Accurate prediction and control of gas invasion is of great significance to prevent blowout accidents. In the past 20 years, the research of early gas invasion detection has made great progress. This paper aims to provide the latest progress of early gas intrusion detection based on transient multiphase flow, and make a comprehensive review of early gas intrusion detection. The specific contents include: 1. 2. The development of numerical simulation of early gas invasion detection is summarized. 3. The influencing factors of early gas intrusion detection modeling are analyzed. 4. The application of drift flux model in each flow pattern is introduced. 5. The importance of gas solubility and heat transfer in numerical simulation of gas penetration detection is analyzed. 6. The current development of early gas invasion detection was summarized and the future prospect was made.
Temperature Control System Design Via Fuzzy PID
Authors: Zhang Lihan
Published: August 2024

This paper investigates the integration of Fuzzy Logic with PID (Proportional, Integral, Derivative) controllers to enhance the performance of temperature control systems. Traditional PID controllers, widely used in various applications, often encounter difficulties with nonlinear, time-varying, and uncertain systems, resulting in performance issues like oscillations and overshoots. To mitigate these challenges, the adoption of Fuzzy PID control, which improves adaptability, robustness, and responsiveness by incorporating fuzzy logic into the control mechanism. The study involves simulations using Simulink to compare three distinct control models: conventional PID, standalone Fuzzy Control, and the hybrid Fuzzy PID Control across standardized control scenarios. Our results show that Fuzzy PID controllers significantly outperform traditional methods, especially in complex environments lacking precise mathematical modeling. The enhanced system response times and stability demonstrated by Fuzzy PID controllers suggest substantial potential for broader application across diverse industries, promising considerable improvements in operational efficiency and reliability.
Building Bridges: Integrating Entrepreneurial Education into Professional Development
Authors: Wang Yunfeng
Published: August 2024

This research investigates the incorporation of entrepreneurial education into professional development programs for university teachers and its influence on equipping students for future professions. The study reveals primary obstacles faculty encounters, such as limited involvement in guest lectures and speaker series, reluctance towards creative teaching approaches, perceived insignificance of entrepreneurship in specific fields, time limitations, and absence of well-defined goals and results. The research employed faculty members and a heterogeneous group of students. The study used a mixed-methods approach, integrating quantitative data from surveys with qualitative data from interviews. This technique enabled a complete comprehension of the involvement of teachers and students in entrepreneurial activity. The results emphasize the significance of customizing programs to particular demographic groups and executing optimal strategies to improve efficacy. Suggestions include enhancing the frequency and diversity of guest lectures, delivering specialized professional development workshops, creating multidisciplinary resources, providing adaptable online courses, and defining explicit objectives and criteria for entrepreneurial education endeavors. These initiatives are designed to cultivate an environment that encourages creativity, enhances the involvement of teachers and students, and provides students with the necessary skills and mindsets to thrive in today's ever-changing labor market. The research results emphasize the crucial importance of entrepreneurial education in higher education and provide practical insights for institutions to improve their professional development programs and overall educational influence.
The Practical Application of Schema Theory in Teaching English Writing in High Schools
Authors: Li Yanping
Published: August 2024

English writing is an important part of English learning and an important indicator of students’ comprehensive use of English. In English writing teaching, schema theory has a certain guiding role and is favored by many educators. The article focuses on the connotation of schema theory, the relationship between schema theory and English teaching, and how to apply schema theory to the teaching of writing in secondary school. Therefore, in the English writing classroom, teachers should use the schema theory to help students improve their English writing ability.
Supply Chain Value-added Strategy for the Rice Industry in Jilin Province
Authors: Li Foshang , A/L Andi Hari Krishnan , Luo Kaimei
Published: August 2024

This paper explores the application of digital technology in enhancing the rice supply chain management in Jilin Province. By integrating modern agricultural services and internet-based models, the study highlights how digital advancements can improve production efficiency, reduce costs, and optimise resource allocation. The research also emphasises the importance of constructing a value-addition system based on the lifecycle theory of rice crops, which can maximise value at each stage of the supply chain. The study addresses risk control and cost management challenges, proposing a value optimisation model incorporating traditional value innovation and new dynamics. The findings suggest that digital technology presents significant value addition and optimisation opportunities in the rice industry, ultimately leading to a more resilient and profitable supply chain. This paper provides practical solutions for overcoming existing challenges and unlocking new potentials in the rice supply chain, ensuring its growth and competitiveness in the evolving market environment.
Literature Review on Fresh Products Cold Chain Logistics and Distribution Issues
Authors: Zhang Xiyu
Published: August 2024

In this paper, the literature on the concepts of fresh product cold chain logistics, the container operation problems related to cold chain transport, product order picking, distribution and the integration of the two problems are sorted out to provide theoretical references for the further study of the transport and distribution problems of fresh product cold chain logistics. Through combing the literature at home and abroad, the current fresh product cold chain logistics transport and distribution mainly exists in the container intermodal transport research object is single, mostly focusing on the railway container centre station; order distribution problems related research is less, vehicle path problem solving algorithms and related mathematical models are less; order picking and distribution of the joint research is less, and most of them stay in the theoretical stage, the method of landing is more difficult and other problems.
Ethical Failures of Generative AI in News Production, Implications and Countermeasures
Authors: Xie Siqi
Published: August 2024

Generative AI is recognized by the media (people) for its high-quality dialogue, complex reasoning and other emergent capabilities in content generation, and human-machine collaboration will gradually become the norm in news production, with application advantages in news production, news distribution and other news survival links. While generative AI assists news production and promotes innovation in news reporting, it also has problems such as providing inaccurate facts, opaque algorithms, and controversial boundaries of application, etc. For this reason, the media should regulate the ethics of human-computer collaboration in terms of optimizing the editing process, disclosing information about algorithms, and setting the boundaries of application of machines.
Optimal Control Problems in Complex Systems: The Combination of Mathematical Modeling and Optimization Strategies
Authors: Yang Yuan
Published: August 2024

Optimal control in complex systems is a challenging and practical field. Traditional control methods can not meet the needs of complex systems, so mathematical modeling and optimization strategies are needed to improve system performance and stability. The optimal control theory can solve the control problem in complex system effectively and improve the operation efficiency of the system by establishing mathematical model and combining optimization strategy. From mathematical modeling method to hybrid optimization strategy research, this paper discusses the theory and practice of optimal control in depth. In the future, it is necessary to further improve the research methods to solve the uncertainty of complex system models and make greater contributions to realizing more intelligent control schemes.
Financial Strategy and Governance
Authors: Li Ziwei , Li Haizheng
Published: August 2024

In this article we introduce Burberry and analyse the stage of maturity Burberry’s company is currently in; and use plc, while critically assessing the company's current financial strategy and proposing a new financial strategy of unbundling the business and mergers and acquisitions. This was additionally combined with corporate social responsibility and actions to ensure compliance with corporate governance.
A Gradient-Based Optimizer Method for Improving the Feature Extraction Capability of Network Architecture and Its Application to Condition Monitoring of Rotating Machinery
Authors: Cao Fengshuo
Published: August 2024

Aiming at the problem of inaccurate feature extraction under the massive data of rotating machinery, this paper proposes a feature extraction capability enhancement method based on Gradient-Based Optimizer for trusted network architecture to monitor the conditions of bearings, which firstly transforms the original signal into a wavelet time-frequency image and visualizes the high-dimensional and difficult-to-visualize data in low dimensions. Then, different convolutional neural network architectures are tested by implanting different noise intensities to determine the most robust network architecture. Secondly, this paper adopts the grid method as well as the swarm optimization algorithm to guide the parameters of the model to achieve the best feature extraction effect, compares the optimization effect of several swarm optimization algorithms horizontally, and determines the most effective GBO algorithm among them. Finally, to improve the credibility of the best network model, this paper combines the grad-cam method with the trusted fusion method to improve the accuracy and reliability of the model. Validated by the bearing data of Case Western Reserve University, it shows that the proposed model in this paper has good credibility and accuracy.
Contractualised Governance: An Analysis of the Internal Logic of "Private Cities" in Achieving Industry-City Integration
Authors: Lin Ziwei
Published: August 2024

China's urbanisation development consists of various forms of management bodies, among which the ‘private city’ led by enterprises is an innovative path of urbanisation development, and Chengdu Jiaolong Harbour selected in this paper is one of the representative cases. The enterprise acts as the ‘housekeeper’ of the area, while the government transfers the rights of land use, income, planning and public governance to the Jiao Long Group, and the two sides determine the power allocation and responsibility boundaries by contractual relationship, forming a contractual governance. Based on this, this paper analyses the theory of rational choice institutionalism, puts forward three internal logics of government-enterprise cooperation, and makes a risky outlook on the future development of ‘private cities’.
Theoretical and Empirical Research on Foreign Language Anxiety and Foreign Language Enjoyment in SLA
Authors: Li Xiang
Published: August 2024

This paper explores the theoretical and empirical research on Foreign Language Anxiety (FLA) and Foreign Language Enjoyment (FLE) in Second Language Acquisition (SLA). The study delves into the evolution of FLA, a situation-specific anxiety type, and FLE, an emerging focus in Positive Psychology, examining their impact on foreign language learning. By analyzing the findings from four empirical studies, the paper investigates the influence of FLA and FLE on academic performance, their interrelationship, and their sources. The results demonstrate that high levels of FLA can significantly hinder language acquisition, while FLE can enhance it by increasing motivation and participation and changing attitude towards target languages and FL teachers. Additionally, the interplay between FLA and FLE varies across different learners and contexts, necessitating a balanced approach that mitigates anxiety while promoting enjoyment. This research offers pedagogical implications aimed at enhancing foreign language learning by fostering a supportive and enjoyable classroom atmosphere, promoting learner motivation, and building strong teacher-student relationships.
Numerical Analysis Of Natural Convection In A Closed Circular Cavity With A Elliptical Heater
Authors: Zheng Ting
Published: August 2024

The natural convection heat transfer in a closed circular cavity containing a constant temperature elliptic heating body was studied by finite volume method. The influences of Rayleigh number Ra, relative size of heating element and rotation Angle on flow and heat transfer in the cavity are discussed. The variation range of Rayleigh number is 103 ~ 106, the variation range of length-diameter ratio of elliptic long axis to cavity diameter is 0.1 ~ 0.4, and the variation range of rotation angle is 0° ~ 90°.The results show that the changes of the above three parameters can affect the structure of temperature field and flow field in the cavity. Increasing the Rayleigh number, decreasing the size of the heating element and increasing the rotation Angle of the heating element will be more conducive to the heat transfer in the cavity. The research results can provide theoretical basis for the heat dissipation and management of electronic equipment.