bluuebunny/crossref_metadata_2025 huggingface dataset:
Discussion on the Optimization Strategies for Comprehensive Budget Management of Media Enterprises Based on Strategic Orientation
Authors: Li Chengxuan
Published: April 2024

In today's rapidly developing economic and social environment, media enterprises face increasingly fierce market competition and constantly changing market environments. To stand firm and develop steadily under such a backdrop, media enterprises should correctly recognize the importance of comprehensive budget management. As an effective management tool, comprehensive budget management can help enterprises optimize resource allocation, enhance operational efficiency, and thus strengthen their competitiveness and adaptability. Comprehensive budget management based on strategic orientation is key to the sustainable development of media enterprises. Strategic orientation emphasizes that an enterprise's budget management should be closely integrated with its strategy, ensuring that the budget formulation and execution align with the long-term development goals of the enterprise. By constructing a sound comprehensive budget management system, media enterprises can ensure the scientific, rational, and operational nature of their budgets, thus providing a strong guarantee for the development of the enterprise. Moreover, strengthening internal control is an indispensable part of comprehensive budget management for media enterprises. Establishing a sound internal control mechanism allows media enterprises to standardize the budget execution process, prevent budget overruns and waste, ensure the achievement of budget goals, enhance the enterprise's risk management capability, and help the enterprise respond to various risks and challenges in a timely manner.
Design and Implementation of Apple Leaf Disease Recognition System Based on ResNet50
Authors: Li Tao , Zhu Wenzhong , Che Xuan
Published: April 2024

Timely identification of apple leaf diseases is critical to preventing crop losses and safeguarding yields. Spotted leaf drop, brown spot, gray spot, mosaic and rust are all common types of apple leaf diseases, and their presence signals a potential risk that could lead to significant reductions in fruit and crop yields. The apple industry is thus at risk of economic losses. In order to solve this problem, this study applies ResNet50, a deep learning model for image recognition and classification of apple leaf diseases, and develops an intelligent recognition system for apple leaf diseases by combining PyQt technology. The purpose of this system is to overcome the shortcomings of traditional recognition methods. Through experimental validation, the ResNet50 model achieves a high accuracy rate of 93.19% in apple leaf disease recognition, demonstrating its efficiency and practicality in practical applications.
Augmenting Three-Dimensional Model Annotation System with Enhanced Reality
Authors: Luo Yan , Lu Tianxiu , Zhang Weihan , Li Suiqun , Wang Xuefeng
Published: April 2024

This study proposes an augmented reality-based three-dimensional model annotation system, integrating cloud anchors, three-dimensional reconstruction, and augmented reality technology to achieve explicit three-dimensional annotations on models. Employing an improved ORB algorithm, the annotated model is persistently anchored in three-dimensional space through cloud anchors, presenting accurate spatial information and showcasing the depth of scenes and relationships between elements. The system supports multiple data types for annotations, such as text and images. Through a comparison with traditional two-dimensional annotation in a drone experiment, the system demonstrates higher experimental efficiency, providing more intuitive annotation guidance and enhancing remote guidance efficiency and user understanding of drones.
The Function of Software in Satellite System and Its Reliability Analysis
Authors: Jia Cheng
Published: April 2024

This paper aims to discuss the function of software in satellite system and the reliability analysis of satellite software. Firstly, the overview of satellite system and the importance of software in it are introduced. Then, the concept of reliability, reliability evaluation method and factors affecting reliability of satellite software are expounded in detail. Then, the strategy to improve the reliability of satellite software is discussed. Finally, the article looks forward to the future development trend of satellite software reliability, including the application of artificial intelligence, machine learning, and distributed ledger technology. These new technologies are expected to further improve the reliability of satellite pieces and provide a solid guarantee for the safety of satellite communication.
Research on Application and Significance of Phonology in Linguistics
Authors: Zhao Bingran
Published: April 2024

Ancient poetry reading is an indispensable part of high school learning, and it is also a compulsory part of the college entrance examination. Many students have difficulties in learning ancient poetry and prose, namely, poor understanding and low efficiency. This study uses the phonology knowledge rarely involved in high school as the research object, and analyzes the artistic conception of some ancient poems by using relatively simple techniques such as sticky pairs and rheology. The study aims to discover phonological knowledge and promote students' learning of ancient poetry and prose.
Exploring the Application of Structural Family Therapy in Addressing Adolescent Behavioral Issues: A Case Study Perspective
Authors: Lee Yuancun
Published: April 2024

This study endeavors to explore the application and effectiveness of Structural Family Therapy (SFT) in addressing adolescent behavioral issues, utilizing a case study methodology. SFT, a therapeutic method that intervenes at the level of the family system, emphasizes restructuring the family and clarifying boundaries among its members. By selecting emblematic cases, this study meticulously analyzes the foundational principles employed in therapy alongside specific techniques, including enhancement of family functionality, adjustment of family structure, and resource-oriented strategies. This research probes into the effectiveness and theoretical foundations of Structural Family Therapy (SFT) in tackling adolescent behavioral challenges, highlighting its unique contributions to family therapy. Through an exhaustive examination of seminal cases from distinguished practitioners such as Minuchin, Fishman, and Lee, Wai–Yung, the paper elucidates SFT's proficiency in navigating the dynamics of family systems. It reveals how the therapy's strategic modifications in interaction patterns and boundary configurations among family members catalyze notable improvements in adolescent behaviors. These transformations transcend mere direct interventions; they epitomize a deeper, collaborative process engaging both therapists and family units. The findings further illuminate SFT's prowess in enhancing family functionality, thereby fostering an environment conducive to nurturing adolescent independence. This exploration affirms SFT's pivotal role in reshaping familial interactions, thereby mitigating adolescent behavioral issues through a holistic and collaborative approach that benefits the entire family structure. Moreover, this study additionally concentrates on the sustainability of treatment outcomes and their impact on the overall well-being of family members, aiming to provide a comprehensive evaluation of SFT's efficacy in ameliorating adolescent behavioral issues. Through an in-depth analysis of the cases, this research reveals the details of SFT's application in practice and its potential to foster positive changes in adolescent behavior and enhance overall family function. The results aim to provide mental health professionals with effective strategies for treating adolescent behavioral problems and to offer further theoretical and practical guidance in the field of family therapy.
The Underwater Gravity Matching Navigation Adaptation Area Is Preferred Based on The Multi-Starting Point TERCOM Algorithm
Authors: Zhao Xin
Published: April 2024

This paper focuses on the selection of matching area in gravity matching navigation system of underwater submersible. To solve the adaptation of the study region by using the TERCOM algorithm, this paper proposes the trajectory matching with three equal starting points within the study area. The experimental results show that this method can divide the adaptation area of the study area more comprehensively.
Design and Implementation of Web-based Database Virtual Experiment Platform
Authors: Liu Yun , Xiao Dong
Published: April 2024

Against the backdrop of the COVID-19 pandemic, many courses face challenges in online teaching. Enhancing the teaching quality of online experimental sections in current higher vocational database courses is an urgent need. This paper constructs a lightweight web-based database virtual experiment platform. The results show that the platform can effectively solve the problems of difficult implementation and uncertain experimental effects in experimental sections under the blended learning mode of database courses, effectively ensuring the quality of online teaching for such courses.
Research on Performance Evaluation Index System of Rural Highway PPP Project
Authors: Dong Zhaobin
Published: April 2024

In recent years, China has actively and steadily expanded the effective investment in rural transportation infrastructure, actively guided social capital to participate in rural development, promoted the combination of PPP model and all aspects of rural areas, and implemented a new round of rural road construction and transformation. Rural highway construction is an important measure to promote rural economic development. Because of the wide range of rural construction in China and the huge capital investment and demand, it is necessary to build a scientific and comprehensive evaluation index system to evaluate the performance of rural highway construction projects, analyze the evaluation results, and put forward feasible suggestions to help decision makers grasp the benefits and effects of construction, and take targeted measures to guide and promote the positive development of rural highways. Taking the northern extension project of XL highway as an example, this paper constructs a performance evaluation index system, which can provide reference for the project management of XL highway and other highway projects.
An Infrared Obstacle Avoidance Car Based on STM32
Authors: Wang Qiuli , Chen Jiying , He Zimo , Han Feiyang , Liu Jiayi
Published: April 2024

With the rapid development and wide application of artificial intelligence technology, the function of intelligent obstacle avoidance vehicle is becoming increasingly prominent. This article presents a design and realization method of infrared obstacle avoidance intelligent car based on STM32 MCU. The design is driven by two DC motors as main power sources. The motor drive circuit adopts L298N driver chip to control the DC motor to achieve the purpose of controlling the trolley. The infrared obstacle-avoidance sensor is used to judge obstacles and road conditions, and the distance between the car and obstacles is monitored in real time. The error caused by external physical condition can be eliminated by the calibration and optimization of the infrared obstacle avoidance module and the program of the single-chip microcomputer, so as to achieve the goal of accurate location of obstacles.
A Comprehensive Evaluation of Common Wealth Level in 30 Provinces Based on Factor Analysis-Cluster Analysis
Authors: Wang Yi , Zhou Yuqi
Published: April 2024

This paper takes the development level of common prosperity of 30 provinces, autonomous regions and municipalities directly under the Central Government of China as the research object, selects 18 economic indicators that can reflect the development (including the degree of wealth and sharing), innovation and sustainability of each province, and uses the principal component factor analysis (FA) and system cluster analysis to comprehensively evaluate the common prosperity level of 30 provinces and municipalities.
Research on Tail Risk Hedging in the Digital Asset Market
Authors: Li Ning
Published: April 2024

In recent years, the digital asset market has experienced rapid growth, but at the same time, its implicit tail risks have gradually raised concerns, especially amidst the global economic downturn caused by the pandemic. This paper aims to study tail risks and propose hedging strategies. Based on the GARCH and VaR models, this paper uses weekly return data from July 2017 to December 2021 for Bitcoin digital cryptocurrency and traditional non-digital asset market indices such as stocks, bonds, gold, and commodities. Utilizing EViews and Excel, the study explores tail risk measurement and portfolio diversification effects in the digital asset market. The main findings are as follows: (1) During the sample period, cryptocurrency returns exhibited significant volatility, with weak correlations with returns from traditional non-digital assets. Further analysis revealed strong hedging effects of digital assets against the bond market but weaker effects against the gold and stock markets, as well as commodity markets; (2) Cryptocurrency in traditional investment portfolios can enhance the risk-return ratio by adding it to the asset mix.
Research on road Damage Detection Based on Improved YOLOv8
Authors: Yang Jingwei , Li Yuansong
Published: April 2024

Aiming at the low accuracy of deep learning in road damage detection, a road damage detection method based on improved YOLOv8 is proposed. Firstly, SENetv2 attention module was added to the backbone network of YOLOv8 to improve the model's feature learning ability. Secondly, in the neck network, GSConv is used to replace the common convolutional module to reduce the complexity of the model and improve the accuracy. Finally, the loss function is changed to Wise-iou to reduce the impact of detection due to a small number of low-quality instances. The experimental results show that compared with the traditional YOLOv8, the mAP50 of this model is increased by 2.1 percentage points, and the detection effect is good, which can meet the requirements of accurate detection.
A New Design of Vibration Damping Structure for Positive Displacement Motor
Authors: Yang Sen
Published: April 2024

Positive displacement motor (PDM) is a downhole power drilling tool, and the bottom of the drilling tool is directly connected to the drill bit. During the drilling process, the drilling tool will be directly affected by the impact load caused by the drill bit breaking the rock. Severe vibration can easily cause drill tool bearings to break and fail, threads to trip and other problems.
The new PDM vibration damping structure uses wear-resistant and heat-resistant metal rubber instead of disc springs as energy-absorbing materials, and designs a "keyway type" vibration damping structure; a two-degree-of-freedom "spring - mass" model is established based on actual working conditions. , determine the basic size of the metal rubber pad based on the metal rubber stress-strain curve, and bring it into the drilling tool dynamics equation to verify that the stiffness and damping parameters of the metal rubber pad will not resonate; finally, compare the drilling conditions under different excitations in the dynamics simulation software The amount of impact the tool receives. Finally, the dynamics simulation of the new vibration-damping drilling tool under different frequency excitations was carried out in Adams simulation software, and it was concluded that in the common working environment of 6-15 Hz, the new vibration-damping drilling tool can effectively reduce the stress on the drilling tool. Impact force, the new vibration-damping drilling tool can reduce the impact force by about 40% when excited at 12 , 15 Hz . The conclusions drawn from the study have reference value for the development of long-life drilling tools and the design of drilling tool vibration damping structures.
A Clustering Study on the Entrepreneurial Policy Texts of Wenzhou University Students
Authors: Xu Xinya , Chen Gaoxiang , Ding Cong , Chen Jiayi , Zheng Xinxin , Wang Kaidong , Zuo Lu
Published: April 2024

With the success of the 20th National Congress of the Communist Party of China, Chinese path to modernization, the construction of Zhejiang Demonstration Area for Common Prosperity, rural revitalization, and the new situation of epidemic prevention and control, Wenzhou's economy will usher in a new round of growth. As the birthplace of China's private economy, entrepreneurial consciousness is deeply rooted in this land, and college students, as the new generation of entrepreneurial forces, their entrepreneurial activities will be an important force for Wenzhou's private economy to shine again. The entrepreneurship policy for college students, as an important influencing factor driving entrepreneurial activities, is worth exploring whether it can adapt to the current environment and whether there are areas for optimization. This study collected entrepreneurship policies in Wenzhou over the past 8 years and used the research method of co word clustering analysis to quantitatively study the policies. The results show that Wenzhou is currently committed to establishing and improving a high-quality service system for relevant college student entrepreneurship groups. At the same time, the Wenzhou government has fully realized the predicament of the development of local key industries in Wenzhou and has provided targeted assistance for different entrepreneurial problems.
Research on the Impact of Digital Service Trade Barriers on Domestic Manufacturing Productivity
Authors: Zhong Huajie
Published: April 2024

This article selects the data of 210 listed companies in Shanghai and Shenzhen A-shares from 2014 to 2019, measures the digital service trade barriers and productivity growth of electronic information manufacturing enterprises, and uses a two-way fixed effect model to analyze the impact of digital service trade barriers on electronic information manufacturing enterprises. Its impact on productivity and mechanisms, and provide policy recommendations. The research results show that: (1) Digital service trade barriers for electronic information manufacturing enterprises are generally on an upward trend. (2) Digital service trade barriers for electronic information manufacturing enterprises have a significant inhibitory effect on their productivity.
Research on the Development of Digital Cultural and Creative Industry under the Background of Metaverse
Authors: Ge Qiang
Published: April 2024

The "Three Year Action Plan for the Development of Digital Economy in Jiangxi Province" clearly requires the implementation of a support plan for digital cultural and creative design projects, with a focus on supporting the development of digital cultural and creative enterprises, and building provincial-level digital cultural and creative industry demonstration bases. With the rapid development of blockchain technology and Internet applications, the digital economy has become a hot topic in today's era. Digital collectibles, as an important emerging industry in digital cultural and creative industries, are also developing rapidly. Studying the factors influencing user purchases of digital collectibles plays an important role in the industrialization and efficiency of digital cultural and creative industries. This study hopes to contribute to the realization of the vision of Digital China. This article takes the willingness of users to purchase digital collectibles in the context of the digital economy as the research object. Through a combination of online questionnaires and offline interviews, the influencing factors of Chinese netizens' willingness to purchase digital collectibles are investigated, and the contact and use of digital collectibles by Chinese residents are collected. At the same time, the collected data will be summarized, classified, and descriptive statistics will be conducted, combined with various analysis methods such as cross analysis, reliability analysis, and validity analysis. At the same time, relevant models will be established to analyze the degree of exposure and use of digital collectibles by Chinese residents, as well as the influencing factors of their selection.
Educational Reform and Innovation of Art Design Professional Group in the Digital Age
Authors: Ma Shaoqiu , Xiao Zhijian , Xue Aitao
Published: April 2024

With the rapid development of digital technology, art and design education is experiencing an unprecedented change. This change has brought both development opportunities and challenges. The traditional education model has been difficult to adapt to the fast-changing market demand and industry development trends, and it is urgent to carry out in-depth reform and innovation. This paper focuses on the current educational situation of art design professional group in the background of digital age, and analyzes the problems and shortcomings of the current educational model, the purpose of this paper is to explore new educational models and innovative paths to meet the needs of the digital age. It is expected to provide useful reference and reference for the Reform and innovation of Art and Design Education, and promote the sustainable development and progress of Art and design education in the digital era.
English Question Library Generation Algorithm Based on Machine Learning
Authors: Wang Feiyan , Jiang Yaling
Published: April 2024

In English learning, the teacher wrote the text of the test source according to their own experience. To reduce the complex and repetitive tasks in teaching, teachers can focus on the preparation, teaching and response of teaching, and further improve their teaching ability. It has received the source of test questions through multiple channels and created the test library quickly and efficiently has become the fast-paced requirement of English writing. Machine learning is a mathematical training method that explores how computers mimic human writing behavior and constantly accumulate experience and improve their performance. This is one of the first and most important cases of AI. The purpose of this book is to read the problem of creating algorithms for English question libraries based on machine learning. This project focuses on the creation of machine-based English question library algorithms, hoping to use the rich information resources on the Internet, to quickly create a large test question library using machine learning technology.
Research on the Integration of Ideological and Political Education into Secondary School English Curriculum based on Ubiquitous Learning Platform
Authors: Zhuang Xinyue , Wang Hongyuan
Published: April 2024

The emergence and advancement of modern information technology have provided significant support for the transition from traditional classroom interactive learning to virtual learning, mobile learning, and further to ubiquitous learning, reflecting the concept of people-oriented and lifelong learning. This paper introduces the ubiquitous learning platform, illustrates the importance of ideological and political education, and emphasizes the significance of integrating ideological elements into the secondary school English curriculum using the ubiquitous learning platform. Furthermore, it focuses on the challenges and difficulties faced in implementing ideological and political education in the secondary school English curriculum through the ubiquitous learning platform, and proposes some possible approaches.
Research on Retinal OCT Image Classification Based on Deep Learning
Authors: Wang Mingxin
Published: April 2024

Presently, there persists an issue in convolutional neural network (CNN)-based classification methods for retinal optical coherence tomography (OCT) images, particularly in discerning small-scale lesion areas. This dilemma results in neural network models exhibiting diminished accuracy when determining the activity of age-related macular degeneration (AMD) regarding its dry and wet stages, as well as choroidal neovascularization (CNV). Accurate identification of lesion types is paramount for ophthalmologists in devising treatment strategies. To address this challenge, a transfer learning-based EfficientNet retinal OCT image classification algorithm is proposed. Initially, retinal OCT images undergo data augmentation and preprocessing procedures. Subsequently, the pre-trained EfficientNet-B3 model is trained via transfer learning, followed by fine-tuning training using partial oversampling and class weighting techniques. The ultimate classification accuracy reaches 99.2%, signifying the model's commendable classification recognition accuracy. This underscores the clinical guidance significance of this research endeavor.
Evaluation of the SCOR Model Research
Authors: Ouyang Yiting , Huang Yi
Published: April 2024

With the rapid development of logistics in China, the supply chain process operation of enterprises is more and more valued by enterprises, how to improve efficiency and maximize the benefits of enterprises at the same time of cost reduction is the core concern of enterprises. In supply chain operation and management, the supply chain operation reference model, or SCOR model, is a very important tool. This paper provides a brief description of the current status and model introduction of the SCOR model, as well as the SCOR-DS model, which is proposed to be improved based on the SCOR model at the end of 2022, for the reference of model users.
Research on Safety Risk Assessment of Prefabricated Building Construction Based on Disaster Sociology
Authors: Li Ying , He Xinsheng
Published: April 2024

Nowadays, with the development of the economy and the needs of people's lives, the industrialization and informatization of construction have begun to develop rapidly. the rapid development of China's market economy. The original cast-in-place construction technology has become increasingly difficult to adapt to the new requirements of market economy and social construction development. However, prefabricated buildings are increasingly accepted by society due to their advantages of green environmental protection, low consumption, improved labor efficiency, and standardized production. With the promotion of a series of national policies, prefabricated buildings have begun to develop rapidly. However, in the actual construction process, safety accidents such as high-altitude falls, object strikes, lifting injuries, and collapses are constantly occurring. How to effectively reduce safety accidents has become one of the major problems that urgently need to be solved. Therefore, this article aims to establish a comprehensive and scientific safety risk assessment index system for prefabricated buildings by comprehensively analyzing the characteristics of safety accidents in prefabricated buildings and combining disaster sociology theory for similar projects.
Research on the Influence of Strategic Adjustment on Enterprise Performance from The Perspective of Mixed Reform of State-owned Enterprises
Authors: Yang Jiayu , Zeng Xinrong
Published: April 2024

In order to effectively solve the problems of low operation efficiency and rigid management system of state-owned enterprises, governments at all levels have actively implemented and practiced mixed ownership reform since 2016, trying to promote industrial optimization and upgrading through mixed reform and stimulate the internal development potential of state-owned enterprises. With the continuous development of the economy and society, the state adopted the three-year Action Plan for SoE Reform (2020-2022) in June 2020, giving guiding opinions and new requirements for further deepening the reform of soes. In this context, to help has not yet been mixed change of state-owned enterprises to better understand the concrete implementation process, Shanxi Fen Wine, for example, starting from the mixed change for, the enterprise mixed change in-depth after expanding brand depth, integrated marketing resources, strengthen scientific research innovation, innovation product strategy, optimize the governance structure of five strategic adjustment direction, and the strategic adjustment of influence on enterprise performance. Finally, it draws enlightenment from the three aspects of path selection of mixed reform, advantage utilization of mixed reform and control of strategic direction, which provides reference for the strategic adjustment of mixed reform of state-owned enterprises in the industry. The research found that Shanxi Fen Wine combined with the advantages of mixed reform and made strategic adjustments around the five aspects of brand, marketing, scientific research, product and governance, which had a positive and positive impact on the financial performance of enterprises.
On the Narrative Strategy and Moral Value of The Main Theme Movie "Me and My Motherland"
Authors: Meng Yan
Published: April 2024

"My Motherland and I" is a film by Chen Kaige as the chief director, Huang Jiaxin as the chief producer, Zhang Yibai, Guan Hu, Xue Xiaolu, Xu Zheng, Ning Hao, Wen Muye co-directed, Huang Bo, Zhang Yi, Wu Jing, Du Jiang, Ge You, Liu Haoran, Chen Feiyu, Song Jia and other people co-starring in a drama film. The film depicts the experiences of seven ordinary people who are closely connected with major national events, and through the perspectives of small characters, shows the deep connection between ordinary people and the country in the 70 years since the founding of New China. Since the film itself was made to celebrate the 70th anniversary of the founding of New China, it is of great research value. This paper aims to study two questions: one is to study the professional narrative strategies used in the film; The second is to sum up the educational significance and moral value of the film. Therefore, this thesis starts from the narrative strategy and moral value of the film, analyzes the content of the film "My Country and I", and explores the far-reaching value expressed by the whole film.
Biology-based AI Predicts T-cell Receptor Antigen Binding Specificity
Authors: Shen Xinyu , Wang Baoming , He Zhen , Zhou Huiming , Zhou Yanlin
Published: April 2024

Adoptive cell transfer (ACT) using T cells modified by the T cell receptor (TCR) gene is an exciting and rapidly developing field. Numerous preclinical and clinical studies have shown varying feasibility, safety, and efficacy of using TCR-engineered T cells to treat cancer and viral infections. Although there is evidence that their use is effective, to what extent and how these therapies can be improved is still a question of research. Since TCR affinity has been generally accepted as the primary role in defining T cell specificity and sensitivity, selecting and generating high-affinity TCRS remains a fundamental approach to designing more effective T cells. However, the traditional approach of increasing affinity by random mutagenesis can cause adverse cross-reactions that result in on-target and off-target adverse events, produce depleted effectors through overstimulation, and ignore other kinetic and cellular parameters that have been shown to affect antigen specificity. In this paper, we review the preclinical and clinical potential of TCR-modified T cells, summarize contributions that challenge the role of TCR affinity in antigen recognition, and explore how structure-guided design can be used to manipulate antigen specificity and TCR cross-reactivity to improve the safety and efficacy of TCR-modified T cells for ACT.
Current Status and Improvement Strategies for Medical Humanities Education in Medical Schools
Authors: Zhang Zhihui
Published: April 2024

With the increasing demand for humanistic qualities in the healthcare industry, the importance of medical humanities education in cultivating high-quality medical talents is continuously growing. Medical humanities education not only involves the study of medical knowledge but more importantly, focuses on cultivating students' compassion, ethical perspectives, communication skills, and sense of social responsibility. However, there are some challenges faced by medical schools in implementing humanities education, such as insufficient educational resources, unreasonable course settings, and a lack of effective practical teaching. In view of this, this paper aims to analyze the current status of medical humanities education and propose improvement strategies based on this analysis, in order to promote the development of medical humanities education and better meet the comprehensive quality requirements of medical talents demanded by society.
Exploring Issues and Strategies of Rural Land Use and Environmental Protection
Authors: Chang Min
Published: April 2024

Land resources play a crucial role in the overall development of society, but the irrational exploitation and use of these resources have significant adverse effects on the natural ecological environment, which is detrimental to the effective construction of a harmonious society. There is an inseparable relationship between rural land use and ecological security, and in current rural land use practices, environmental protection issues are increasingly emphasized. In some rural areas, in pursuit of short-term economic benefits, the importance of environmental protection is often overlooked, leading to excessive development and use of land resources, posing a great threat to the sustainable development of rural society. The reduction of vegetation signifies a deterioration of the ecological environment, and soil erosion leads to a decrease in land resources and a decline in land productivity, while soil degradation directly affects the growth of crops and the income of farmers. Therefore, it is essential to integrate environmental protection concepts throughout the entire process of rural land use. In the development and utilization of land resources, environmental protection requirements must be fully considered, adopting scientific and reasonable planning and measures to ensure the full utilization of land resources and achieve sustainable development of rural society.
Experimental Study on Heterogeneous data storage and exchange abstract storage middleware
Authors: Liu Weihao , Jiang Linhai , Luo Xitong , Guo Shiwei
Published: April 2024

Some Internet companies on the market do not have rich experience in database development, and there are certain problems in the face of sudden, urgent and high concurrent requirements like epidemic health code. Hope that through the interface provided by this middleware, the data can be automatically split according to certain rules. Using the advantages of different architecture databases, the data were stored in different architecture databases to achieve data heterogeneity. And it can extract, combine and return data from different databases, abstract the process of database access and access. The decoupling of database and business code is realized to solve the pain point of high-performance product development difficulty.
The Impact of Digital Media on Sports Management
Authors: Jiang Kunpeng , Phakdeephirot Nutteera
Published: April 2024

The objectives of this research study were (1) to analyze the transformative impact of digital media on sports management practice in Chengdu, (2) to explore the integration of digital platforms and the adoption of advanced technologies in the sports industry, and (3) to identify the challenges faced in the digital age. This hybrid research study employed a combination of quantitative data from online surveys, qualitative insights from semi-structured interviews, and content analysis. The research involved different stakeholder groups in Chengdu’s sports industry, aiming to provide a comprehensive perspective on the utilization of digital media in sports management. Major Findings/Results: (1) The field of sports management in Chengdu has significantly shifted towards digital media, with digital platforms playing a pivotal role in fan participation, marketing strategies, and brand building. Personalized and interactive content has become increasingly preferred by consumers. (2) The study highlighted the importance of advanced technologies such as AI, VR, and 5G in enhancing fan experience and operational efficiency in the sports industry. (3) Key challenges identified include digital rights management, online content regulation, and maintaining fan engagement in a competitive digital landscape. The comparative analysis with global trends revealed both unique and common digital sports management practices in Chengdu. The study underscored the necessity for sports organizations to adapt to the evolving digital environment while considering ethical and regulatory aspects. This research contributes to the academic discourse on sports management in the digital age, offering valuable insights for practitioners and policymakers. It underscores the transformative role of digital media in sports management and advocates for innovative strategies, cultural sensitivity, and ethical integrity in Chengdu’s digital sports landscape.
Study on Data Supply Chain Pricing Decision Considering Network Externalities
Authors: Zhang Zhicheng , Zhang Yiming , Deng Weibin , Liu Guangming
Published: April 2024

Nowadays, data has become an important productive factor in the world. Data as an asset to management and realizing its value are important factors for its flowing smoothly. However, how to price the data scientifically and reasonably has been a difficult and key problem for the data element market development. After analyzing the transaction process of data products from data resource acquisition to production and sales, a three-level data supply chain consisting of data providers, data trading platforms and users is constructed. In this chain, government subsidies for data trading platforms are considered. Based on that, a centralized and a decentralized differential game pricing model of data supply chain under the influence of network externalities are proposed respectively. The impact of network externalities and government subsidy elasticity coefficients, among others, on the two decision models is analyzed from a theoretical perspective.
Discussion on the Feasibility of Spreading Weifang Kite Culture with Digital Animation Technology
Authors: Jin Liang , Sharul Azim Sharudin
Published: April 2024

This paper discusses the feasibility of using digital animation technology to spread Weifang kite culture. By analyzing the characteristics and advantages of digital animation technology and combining with the unique charm of Weifang kite culture, the positive role of digital animation in inheriting and promoting kite culture is demonstrated. The article points out that digital animation technology can vividly show the kite making technology, flight principle and cultural connotation of kites, enhance the audience's sense of participation and experience, so as to effectively promote the dissemination and development of Weifang kite culture. Furthermore, this paper delves into the challenges and recommendations that ought to be addressed when promoting kite culture through digital animation technology. It highlights the importance of maintaining authenticity and respecting the traditional values of kite culture while incorporating modern technological advancements. Additionally, the paper underscores the need for creative yet educational approaches to engage a wider audience and effectively convey the essence of kite culture.
The Dilemma of China's Basic Education and the Prominence of the Value of Educational Games
Authors: Deng Haoming , Zhu Haiduan
Published: April 2024

This paper focuses on the challenges faced by China's basic education in the era of digital entertainment, especially points out the harm of online game addiction to the healthy growth of teenagers, and reveals the universality of this problem by citing statistical data. With the prosperity of digital entertainment industry, the phenomenon of teenagers' excessive addiction to games is particularly prominent, especially in the context of epidemic situation, which is closely related to mental illness. Therefore, the society calls for the establishment and improvement of the anti-addiction mechanism and mental health intervention measures, and at the same time advocates the transformation of the game industry and develops functional games with educational significance. School education has negative functions in the process of adapting to social development, such as overemphasizing short-term results and regularization, which may lead to the suppression of students' personality and innovative spirit. Educators learn from the intrinsic attributes and values of games, and actively promote the development and application of educational games, with a view to enhancing students' intrinsic motivation through gamification learning, realizing entertaining and promoting their all-round physical and mental development.
Exploring the Association Between Corporate Financial Credit Risk Management and Corporate Value
Authors: Qiu Sipeng
Published: April 2024

In the rapidly changing business environment, corporate financial credit risk management has become a key factor in the stable operation and continuous value enhancement of enterprises. Corporate value is reflected not only in its tangible assets but also in its intangible assets and management capabilities. Among them, financial credit risk management, as an important part of corporate management, is increasingly being paid attention to for its association with corporate value. Financial credit risk management involves the identification, assessment, monitoring, and control of risks related to financial activities, which may stem from market changes, credit defaults, operational errors, and more. Effective financial credit risk management not only helps enterprises reduce potential losses and protect asset safety but also enhances the market reputation and competitiveness of enterprises, thereby increasing their overall value. With the continuous development of financial markets and the strengthening of globalization trends, the financial credit risks faced by enterprises are becoming increasingly complex and varied. Therefore, building a comprehensive financial credit risk management system and enhancing the risk management capabilities of enterprises have become key to achieving sustainable development and creating long-term value.
Based on the Coupling Model of the Rural Revitalization and the Urban Old-age Care
Authors: Tang Qiuhan , Wang Mengyao
Published: April 2024

With the development of society, the core problem of the elderly care in China has changed from solving poverty and material scarcity to how to meet the spiritual needs of the elderly. Under the social background of the timely completion of poverty alleviation goals and tasks in the new era,  the construction of a "win-win" mechanism for urban elderly care and rural revitalization,  the use of the environmental advantages of beautiful villages and idle housing, help urban elderly care,  while giving play to the intellectual advantages and knowledge and skills of urban elderly, add wings to rural revitalization,  not only help solve the talent bottleneck of rural revitalization, Moreover,  it can meet the high-level spiritual needs of the elderly such as self-realization and achieve the purpose of quality old-age care. Therefore, promoting the combination of rural areas and urban elderly care is one of the important ways of rural revitalization.
Controllable Synthesis of Hollow Silica Nanospheres
Authors: Sang Rusong
Published: April 2024

Nano hollow SiO2 refers to a unique form of nanoscale silica material that has an inner cavity structure. This hollow configuration offers several advantages over solid structures, including a larger specific surface area, lower density, and improved permeability. Additionally, hollow silica is chemically inert and thermally stable, making it an excellent candidate for drug delivery applications. Silica's transparency to both light and magnetism ensures that it does not absorb light or disrupt magnetic fields, preserving the inherent optical or magnetic properties of certain composites. In addition, its porosity, biocompatibility, and mechanical stability are adjustable and controllable, making it an ideal and cost-effective material for both industrial and biological uses. This study synthesised a range of hollow spherical silica samples via the sol-gel process. The aim was to investigate the impact of different factors on their sphericity and wall thickness.
Design and Analysis of a Mobile Automation Testing Framework: Evidence and AI Enhancement from Chinese Internet Technological Companies
Authors: Cui Jun , Chen Wangmei , Wan Qiang , Gan Zhongxin , Ning Zihao
Published: April 2024

This present study mainly describes the implementation and ideas of the mobile automation framework, which supports iOS and Android mobile automation testing technology. This study mainly uses a combination of qualitative and documentary analysis methods, designs some technical architecture diagrams, and writes some open-source code to implement respectively. Meanwhile, The automation code is not made public due to mobile automation security and privacy concerns. The paper is mainly driven by the so file inside Android and the ADB command, while iOS uses some class libraries based on the iOS system. The research framework also uses the Appium framework for encapsulation and research and carries out secondary encapsulation and call based on the internal Appium framework. It is convenient for the internal quality team's automated testing staff to use and execute and improve the efficiency and speed of automated software testing, which is the contribution of this research. Beside, The limitation of this research is that the framework is based on the secondary development and encapsulation of Appium framework, so this study are inevitably some imperfections and bugs that need to be continuously improved and used. Moreover, these contribution results demonstrate that it can combine the businesses of different china internet enterprises to complete. Next, the paper discusses specific cases of mobile automation testing framework and artificial intelligence in mobile framework design and evaluates their effects and impacts. Finally, the paper summarizes the roles and challenges of mobile automation testing framework design and AI enhancement elements and looks ahead to the future.
Analysis of the Problems in the Audit of Small Infrastructure Projects in Universities and the Improvement Measures
Authors: Zhang Junfeng , Liu Bo , Fu Yutong , Zhang Li , Song Mingming
Published: April 2024

The audit of small infrastructure projects is one of the most easily overlooked contents of special audit of colleges and universities. Through the summary of work experience, it is found that the following deficiencies in the audit of small infrastructure projects: the identification boundary of small infrastructure construction is not clear; the rights and responsibilities of audit departments and submitting departments; the audit methods; the lack of confidentiality of auditors; the integrity of auditors. The five problems are common problems encountered in the audit process of small infrastructure projects in colleges and universities. This problem can be solved through “Grasp the policy, reasonable division”, "System provisions, clear power and responsibility", "External audit is the main, internal audit check", "Double-blind with take, to eliminate leaks", "Stand firm and eliminate corruption", "Demand money must be handled" and other measures to solve the problem. Through the measures, we can improve the problems of small infrastructure projects in universities, which is worth advocating and promoting.