bluuebunny/crossref_metadata_2025 huggingface dataset:
Interest, Collaboration, Autonomous Learning and satisfaction in the Blended Teaching of Martial Arts
Authors: Qin Peng , Lamadrid-Catublas Hazel Anne
Published: June 2024

This study involves two classes of education majors taking a general Martial Arts course, using traditional teaching methods for one class and blended teaching methods for the other over a semester. It aims to compare the learning outcomes in terms of student interest in Martial Arts, cooperative learning abilities in sports, and independent learning abilities. The goal is to explore the feasibility and effectiveness of the online and offline blended teaching mode in university Martial Arts instruction. The result showed that compared to traditional teaching methods, the implementation of blended learning based on online teaching platforms complements students' interest in learning martial arts, as well as their ability to learn independently and collaboratively. With the implementation of personalized learning, interest has increased, and the abilities to learn independently and through hands-on learning have been cultivated, resulting in improved satisfaction.
Blended Learning Modality and its Challenge Towards Enhanced Teaching -Learning Policy
Authors: Gong Zhile
Published: June 2024

The study investigates that the deployment and challenges of blended learning modalities across five universities in China, focusing on the perceptions and experiences of both students and faculty members. Utilizing a descriptive comparative research design, the study incorporates quantitative methods to provide a multifaceted analysis of the implementation of blended learning. Central to the research are the demographic characteristics and academic backgrounds of the participants, which play a significant role in their engagement with blended learning environments. The analysis explores the varying impacts of blended learning across different age groups, genders, and academic disciplines, providing insights into the adaptability of this educational modality. A significant portion of the study is dedicated to understanding the specific challenges encountered in blended learning settings, including technological hurdles, resource limitations, and communication barriers. Through statistical analysis, the research identifies significant differences in the assessment of blended learning based on the demographic profiles of respondents, offering empirical evidence that supports the need for tailored educational policies. Moreover, the findings contribute to the formulation of specific policy recommendations aimed at enhancing the effectiveness and experience of blended learning. These recommendations address the identified issues, suggesting potential solutions and improvements that could make blended learning more accessible and beneficial across diverse educational contexts.
A Review of Research on Digital Transformation Capabilities in Manufacturing
Authors: Dai Yunjie , Xv Yihan
Published: June 2024

As the main body of the national economy, manufacturing industry realizes digital transformation which is of great significance for China's economic development. Most of the current popular research on the topic of digital transformation focuses on the transformation path, transformation drivers, transformation influencing factors, transformation mode and maturity evaluation. Taking the digital transformation capability of manufacturing enterprises as the research object, this paper combs through the connotation of digital transformation, studies related to the digital transformation of manufacturing enterprises, and studies related to the digital transformation capability and its evaluation, aiming to provide directional guidance for future academic research.
Technology And Prospect of Hydrogen Energy
Authors: Wu Zimo , Yang Yuanning , Yin Caixin
Published: June 2024

This article summarizes the development trend of the hydrogen energy industry, the technical difficulties faced by the production of hydrogen, the problems encountered in the storage and transportation of hydrogen energy, and the potential and development trend of hydrogen energy in the future application. The paper emphasizes that the hydrogen production through hydroelectrolysis and biomass resources can effectively utilize renewable resources and may solve the environmental problem of producing "gray hydrogen" in the conversion process of fossil fuels and methanol, which is in line with the concept of clean energy development. Therefore, improving the efficiency of hydrogen production and realizing its large-scale commercial production has become the focus of the current scientific research work. The core challenge of storing high-pressure gaseous hydrogen and low-temperature liquid hydrogen is to optimize container materials, develop new substances that can adsorb hydrogen, and reduce energy consumption and spending. Whether hydrogen is transmitted by compression, liquefaction, or pipeline means, the cost-effectiveness and safety issues need to be addressed urgently. In general, the large-scale use of hydrogen as an energy source still needs to overcome many difficulties.
Towards Promoting the Efficiency of Enterprise Investment Management with Artificial Intelligence
Authors: Cao Zizheng
Published: June 2024

With the continuous development and optimization of artificial intelligence, enterprises have begun to pay attention to the use of artificial intelligence for the optimization of work and the improvement of efficiency, and in the management of enterprise investment, a number of companies have begun to use a large number of artificial intelligence technologies in the integration and analysis of data, information processing and analysis, risk management, efficiency improvement, and so on. Enterprises encounter problems in analyzing data and information in investment management, and problems in risk management, all of which affect the improvement of their investment returns. Enterprises face a huge amount of data in the process of investment management, it is difficult to calculate a large number of data models in a relatively short period of time, and it is impossible to analyze and extract more information. In the face of investment risk, the control of risk in the past investment process is more based on experience to judge, there is a great deal of subjective assumptions in risk avoidance. And in the investment process companies also want to increase returns, improve efficiency, avoid risk, and achieve a more automated and intelligent trading process. Enterprises need to use artificial intelligence to technically solve the problems of data aggregation, arithmetic, and analysis; use artificial intelligence to optimize the problem of processing large amounts of information; use artificial intelligence technology to enhance risk management and predictive analysis, strengthen intelligent decision-making and portfolio optimization, and provide insights into big data analysis and market trends. The wide application of artificial intelligence technology in enterprises also has a certain impact on the development of enterprises, and it has a certain impact on the planning, feasibility, whole-process control, investment evaluation, investment report, and investment efficiency of investment in the investment link, which makes it widely concerned in the society and in enterprises.
Wind Power Forecasting Based on CNN and LSTM Models
Authors: Dai Ge
Published: June 2024

Nowadays more and more sustainable and environmentally friendly energy sources are demanded and wind power is playing an increasingly significant role in the energy market. For example, according to the Chinese Academy of Sciences, China plans to generate more than ten times the current scale of wind power in the next decade. Accurate prediction of wind generation is essential for the scheduling, operation, and energy trading of power systems. In this study, a method combining long and short-term memory network (LSTM) and convolutional neural network (CNN) is proposed for wind power generation prediction. In this study, a wind power generation data set from Longyuan Power Group is used to adapt to the input requirements of the model. The data are entered into the LSTM model to capture long-term trends in the data. Next, this paper uses the CNN to process the local spatial features to improve the prediction accuracy. Combining the outputs of these two models, this paper obtains an efficient wind power generation prediction method. In order to evaluate the performance of the proposed method, root mean square error is used to analyze the prediction data. The results show that the combined method of LSTM and CNN is better than individual methods in prediction accuracy and stability. In conclusion, this study proposes a wind power forecasting method combining LSTM and CNN. This method helps to improve the dispatching and operation efficiency of the power system and provides strong support for the promotion of wind power in the energy market.
Research on Box Office Influencing Factors and Coping Strategies of Chinese War Genre Movies
Authors: Wang Ruijie
Published: June 2024

Chinese audiences' keen interest in the historical events of wars at home and abroad and their passion for heroism and national emotions have made war genre movies popular in the Chinese market. This paper aims to discuss the box office influencing factors and coping strategies of Chinese war genre movies. With the continuous expansion of China's movie market, war genre movies, as an important movie genre, have attracted wide audience attention. This study adopts a combination of qualitative and quantitative analysis to study the box office performance and influencing factors of war genre movies in the Chinese market through literature review, box office data analysis, and audience survey, and proposes corresponding coping strategies. It is found that various factors, including the choice of theme, director, cast and marketing strategy, influence the box office of Chinese war genre movies. Aiming at these factors, this paper proposes a series of coping strategies to improve the box office performance of war genre movies and, at the same time, promote the healthy development of China's movie industry.
Exploration of the International Academic Model of High Vocational Education in Landscape Architecture in China
Authors: Zhang Renyuan
Published: June 2024

This article deeply explores the international talent training model of campus forestry major in higher vocational colleges. In the context of globalization, the gardening industry has an increasing demand for talents with international vision and professional skills. The article first takes GPST as an example to analyze the current situation of international talent training in forestry majors in higher vocational colleges, and points out the existing problems and deficiencies, including a single talent training model, weak bilingual teaching faculty, insufficient international practice links, and the curriculum system and international Not enough integration. Then, the article proposes research directions such as building a diversified talent training model, strengthening the construction of bilingual teaching faculty, strengthening international practice links, and updating the curriculum system to align with international standards. Finally, the article gives practical strategies such as clear training goals and positioning, strengthening international cooperation and exchanges, innovating teaching methods and means, and improving the evaluation system and incentive mechanism, in order to improve the quality of training international talents in forestry majors in higher vocational colleges.
Digital Transformation and the Quality of Green Innovation in Manufacturing Companies
Authors: Zhang Qiaoya , Ren Xin , Leng Zhiruo , Dai Zhenying
Published: June 2024

The digital economy has given rise to the digital transformation of enterprises, supply chain management welcomes new opportunities, and the contradiction between economic development and resources, energy and environment needs to be solved urgently. This paper takes China's Shanghai and Shenzhen A-share listed companies in the manufacturing industry from 2010 to 2022 as a sample, and adopts Python crawler technology, SA index, and two-way fixed model to construct a green innovation evaluation system, and builds a mediation effect model with "supply side optimization-demand side pull" as a chain to explore the influence mechanism of digital transformation on the quality of enterprises' green innovation. Explore the influence mechanism of digital transformation on the quality of green innovation of enterprises. A two-way fixed model is used to test the moderating effects of environmental regulation, media attention and the heterogeneity between supply and demand. Finally, suggestions for green innovation of enterprises in the perspective of digital economy are proposed.
Advancement of Liquid Immersion Cooling for Data Centers
Authors: Jin Zhihao
Published: June 2024

With the increasing processing capabilities of data centers, the demand for advanced cooling has been increased, positioning liquid immersion cooling systems as a focal point due to their effectiveness and environmental benefits. This paper reviews the current state and prospects of liquid immersion cooling technologies for data centers by paper analyzing. The research spans the optimization of cooling technology parameters, material and coolant performance, as well as system level integration and thermal management. The characteristics analysis of liquids and supercritical fluids underscores the significance of coolant selection Innovative cooling network designs have been shown to initiate failures and improve thermal distribution, enhancing data center performance and reliability. Additionally, the interplay between cooling systems and IT systems has been explored for its overall energy efficiency impact. Liquid immersion cooling technology demonstrates vast potential in ensuring safety, enhancing heat exchange efficiency, and meeting the growing needs of future data center development. Nonetheless, a deep understanding of complex fluid dynamics and heat transfer mechanisms remains key to driving technological advantages.
A Comparative Regional Study of Carbon Accounting Disclosure Based on the Fuzzy Comprehensive Evaluation Method--Taking the Eastern, Western, Southern, Northern and Central Regions as an Example
Authors: Zhu Zi
Published: June 2024

With the gradual development of corporate ESG investment concepts, it is becoming increasingly clear that exploring carbon accounting disclosure can contribute to the promotion of low-carbon economic development. In view of this, this study divides the country into five regions: east, west, south, north and central, firstly constructs three-level indicators affecting the disclosure of carbon accounting information, then assigns weights to the indicators using hierarchical analysis, and finally uses the fuzzy comprehensive evaluation method to score the overall level of disclosure in the five regions, and identifies that the central region has the highest scores, the western region, the southern region, and the northern region have medium scores, and the eastern region has the lowest scores. It also identified that the central region has the highest score, the western region, the southern region and the northern region have the middle score, and the eastern region has the lowest score, and that factors such as enterprise size and annual carbon emissions of cities are important factors affecting carbon accounting information disclosure.
Spatial and temporal evolution of liver cancer incidence
Authors: Xie Yuliang , Lin Han , Gao Wenhui
Published: June 2024

Liver cancer has become a global public health problem and is the fourth leading cause of death and the sixth most common cancer worldwide. The article comprehensively constructed a system of indicators to measure the level of liver cancer incidence from three aspects: economy, diet, and health indicators, and analyzed the influencing factors of liver cancer incidence in 204 countries and regions in the world and the geographical characteristics of the level by using multivariate statistical analyses such as the coefficient of variation method and geodetector. The study shows that (1) the incidence rate of liver cancer is lower in countries with higher GDP levels and urbanized population rates. (2) The combination of caloric intake and protein intake had the largest interaction effect on liver cancer incidence. (3) Excessive fat and protein intake will increase the burden on the liver and cause an increase in the incidence of liver cancer.
Exploring China's environmental sustainability reporting and corporate value based on the WIND database: theoretical analysis and empirical research
Authors: Luo Ziwei
Published: June 2024

This empirical research paper explores the relationship between environmental sustainability reporting and corporate value in China, utilizing the WIND database. With the growing global focus on environmental issues, China has actively embraced green development principles, encouraging companies to engage in environmental sustainability reporting. This study aims to elucidate the impact of such reporting on corporate value, providing insights for companies to enhance their environmental disclosure practices and guiding investors in their decision-making processes. Employing a combination of theoretical analysis and empirical research, the study constructs a theoretical model to investigate the intrinsic link between environmental sustainability reporting and corporate value. The paper analyzes data from Chinese listed companies, assessing the current state of their environmental reporting and its implications for corporate value. The research findings are expected to contribute significantly to the theoretical understanding and practical application of environmental sustainability in the corporate sector.
Professional Realm and Self-cultivation of College Psychological Teachers in the "Internet +" Era
Authors: Peng Jinling , Zhang Zhiliang
Published: June 2024

The current wave of the "Internet +" era, big data and artificial intelligence technologies have not only brought new developmental transformations and opportunities to society but have also had a profound impact on the traditional field of education. The development of "Internet +" has given rise to many improved and innovative educational concepts and models, opening new pathways for the reform of traditional education. Driven by this transformation, university psychology teachers should actively embrace the new ideas of "Internet +", integrating both traditional and modern educational concepts and methods. While focusing on enhancing personal basic teaching quality, they should use emerging "Internet +" technologies to comprehensively optimize their knowledge systems and teaching abilities, and apply these new technologies to educational practice. The goal is to more effectively meet the diverse needs of students, adapt to the rapid development of society, and thus realize the value of teachers themselves, showcasing the "people-oriented" educational philosophy, and closely following the pace of integration between "Internet +" technology and education.
Study on the Current Situation and Countermeasures of Fruit and Medicine Setting Industry in the Context of Rural Revitalization
Authors: Yan Qing , Liang Huiyi , Wu Deying , Tao Feng
Published: June 2024

Industrial revitalization injects strong kinetic energy for the comprehensive revitalization of the countryside, and industrial revitalization is the foundation and key to the comprehensive revitalization of the countryside. The article is based on the current situation of industrial development in Liupanshui Faer Town, which is planting honey plum sets of Chinese herbs, and according to the field investigation, it is found that the honey plum sets of Chinese herbs industry has certain problems in terms of infrastructure, sales channels, and sets of planting mode professionals. As a result, targeted initiatives are proposed to improve the facility environment, actively build information platforms, and cultivate diverse technical talents in a targeted manner to comprehensively help rural revitalization.
Measurement of Aluminum Alloy Automotive Cover Parts Forming Parts Based on ARGUS System
Authors: Liu Congbiao
Published: June 2024

This article takes the outer panel of an aluminum alloy engine hood as the research object, uses the finite element analysis software Dynaform for finite element analysis simulation, and uses the ARGUS mesh strain measurement system to conduct experimental analysis on the solid formed parts. This article mainly completes the experimental verification of parameters such as thinning rate measurement for a formed aluminum alloy automotive cover using the ARGUS grid strain measurement system. By comparing simulation results with experimental measurement results, check whether the formed part is feasible under this process parameter. To ensure the accuracy of the results, 21 points distributed in different parts of the formed part were taken and measured using the ARGUS grid strain measurement system to check whether the simulation results are close to the experimental results.
The Content of Urban Planning, Design and its Relationship with Urban and Rural Planning
Authors: Qiu Zhujun , Wu Sha
Published: June 2024

With the acceleration of urbanization, the impact of urban planning anddesign on urban development is becoming more and more important. A reasonable urbanplanning design not only helps to improve the quality of living environment. butalso can promote the sustainable development of urban economy. In the process ofurban planning and design in reality, there are some problems and challenges which are influenced by various factors. Therefore, the purpose of this paper is to discuss the content, key points and the relationship between urban planning and urban-rural planning, in order to achieve a deeper level of thinking and learning about rational urban planning and design.
Fintech: Digital Transformation of Financial Services and Financial Regulation
Authors: Chen Jiahui
Published: June 2024

This study offers a comprehensive analysis of critical aspects within the domains of financial technology (Fintech) and online payments, with a focal point on the regulatory dimension. It commences by exploring how Fintech, propelled by technological innovations, has orchestrated a paradigm shift, ushering in the digital economy and digital civilization. It underscores Fintech's role in mitigating longstanding issues in traditional finance, particularly information asymmetry and high-risk premiums, harnessing the potential of big data, cloud computing, blockchain, and artificial intelligence. The study extends to a detailed evaluation of the intelligent investment advisory sector (Robo-Advisor) and online payments, delving into security concerns and regulatory considerations. A pivotal highlight is the transformative potential of digital currencies, including central bank digital currencies (CBDCs) and cryptocurrencies, in revamping payment systems, fortifying security, and reducing cross-border transaction costs. Regulatory upgrades play a paramount role in shaping this transformation, ensuring the security of online payments and fostering compliance.
Study on the mechanism of the impact of the digital economy on regional coordinated development
Authors: Weng Li
Published: June 2024

The implementation of the "East counts, West counts" project can promote the cross-regional flow of data elements between the East and the West, forming a new pattern of coordinated development in the East, Central and West regions with data as a link. On the basis of theoretical guidance, this paper measures the digital economy competitiveness index and regional coordinated development index by constructing the relevant index system based on the data of 31 provinces (municipalities and autonomous regions) in 2016 and 2020, establishes a regression model and introduces the intermediary effect test, in order to explore the mechanism of the digital economy to promote the coordinated development of the region. The study finds that the digital economy effectively promotes regional coordinated development through industrial structure upgrading. The "East Counts West Counts" project is able to break down spatial barriers and realise rapid cross-domain mobility of computing power, which is more powerful in promoting coordinated regional development and narrowing the gap between the East, the Middle East and the West.
Design and Development of Component Library for Component-based University Orientation Management System
Authors: Mao Ning
Published: June 2024

In the last few years, the orientation and management system of the universities has become more data-driven, information-based and intelligent. This article focuses on designing and implementing an orientation management system for universities. It analyses the actual needs of orientation work and determines the functional goals and design principles of the system. The text focuses on the design and development process of component libraries. This includes component classification, naming conventions, interface design, and re-usability and extensibility design. These aspects provide strong support for the construction of the system. This article elaborates on the methods and processes of system testing and evaluation. Comprehensive testing is conducted to verify the system’s functions and performance, ensuring that it meets actual needs. The research results presented in this article provide a constructive reference for the construction of orientation management systems in universities and lay a solid foundation for the optimization and upgrading of future systems.
Crop Recognition Method Based On End-effector
Authors: Wu Ruoyu
Published: June 2024

With the increasing global population, the demand for agriculture is also on the rise. The crucial stages of agricultural production, namely fruit identification and picking, play a vital role in enhancing product quality and minimizing losses. Traditional manual processing methods, although time-tested, are not only inefficient but also challenging to maintain consistency, making them inadequate to meet the large-scale requirements of modern agricultural production. Consequently, the integration of automation technology has become a necessity. For agricultural robot the machine vision system often need to work in two typical environments, the field environment and the orchard environment. Depending on the varying objectives of operation in diverse environments, crop robots require the ability to rapidly identify fruits within images featuring significant color disparities between crops and two-dimensional field backgrounds. Consequently, a visual servo control system is being investigated. A novel camera attitude search method that employs active visual servo technology to minimize occlusions during orchard search is proposed. The recognition function of the end-effector is exceedingly crucial. The precision of the end effector's identification capabilities directly influences the success rate of automated operations. This is particularly evident in fruit picking, sorting, and other tasks, where the diverse shapes, maturity levels, and colors of fruits present significant challenges to the robotic arm's end effector. The rapid advancement of deep learning technology, however, offers a novel solution for the recognition of fruits by the robotic arm's end effector. By emulating the human visual system, deep learning models can extract the feature representation of fruits from vast amounts of data, enabling accurate identification of fruits in various conditions.
Research on the Improvement of Teachers' Salary System in Private Colleges and Universities
Authors: Cao Xin
Published: June 2024

In the current era of increasingly intense competition among colleges and universities, private colleges and universities are booming, and with the development of economy, the competition for excellent teachers is becoming increasingly fierce. Therefore, an effective salary system is of great importance to colleges and universities. Effective salary system must conform to the development of colleges and universities, and combine salary theory, incentive theory and other theories into concrete practice. At the same time, the research on the salary system of private colleges and universities must clarify its purpose and significance, so as to better formulate the salary system research plan suitable for the teachers of private colleges and universities.
"The Banality of Evil" and Modern Education
Authors: Qie Yi
Published: June 2024

The American political theorist Hannah Arendt, in her book "Eichmann in Jerusalem," introduced the concept of "the banality of evil." This concept can be related to the "banality of evil" present in modern education, where educators fully assimilate themselves into the authority and system of education, complying with the arrangements of the system. This paper will discuss the current state of "the banality of evil" in modern education from three aspects: non-thinking, non-action, and blind obedience with mental rigidity, and propose ways to resolve this issue.
Analysis of China's Real Estate Market Volatility and Financial Stability
Authors: Chen Shuyuan
Published: June 2024

Fluctuations in China's real estate market profoundly affect the economy, the financial system and social stability. Effective policy regulation, including the adjustment of monetary policy and the control of speculative behavior, is essential to mitigate market volatility and reduce financial risks. This paper uses the historical data analysis method and literature research method to conduct research and analysis based on the study of the meaning of financial stability. Firstly, it divides the historical fluctuation of China's real estate market into four stages and explores the characteristics and causes of real estate price changes in each stage. Thus, the historical fluctuation pattern of China's real estate market and the mechanism by which real estate market fluctuations affect financial stability are derived. The mechanism by which real estate affects financial stability through the personal wealth channel, the balance sheet channel, and the liquidity channel is explored. The findings of this paper can provide a basis for government decision-making and guide real estate practitioners and investors to grasp market fluctuations and avoid potential risks.
The Impact of Corporate Geographic Decentralization on the Quality of Accounting Disclosure
Authors: Ding Yaqing , Zhang Xinjie , Pu Xinran
Published: June 2024

The Quality of accounting information is of paramount importance in facilitating investment decision-making processes for investors and there is an observed trend towards geographic decentralization within large publicly listed corporations. Drawing on a trans-regional imitation perspective, the paper examined the impact of geographical decentralization on the quality of accounting information. We apply a novel approach to measure the geographical distance, two-stage least squares estimation and PSM were conducted to test the hypotheses. The findings show that geographic decentralization negatively relates to the quality of accounting disclosure. Moreover, this association is more pronounced for corporations with low-quality corporate government as well as in provinces where the traffic accessibility is poor. These results not only provide companies better strategic planning about regional expansion but also help investors to acknowledge potential risks about the accounting information quality of decentralized companies.
Analysis of Weibo Short Video Advertising Creation: A Case Study in the Fashion and Beauty Industry
Authors: Liu Jiahui , Teng Ziteng
Published: June 2024

In order to explore the creative characteristics of short video advertisements in the field of fashion and beauty on Weibo, this study uses short videos containing advertisements as sample materials. Based on literature review, it establishes classification indicators for short video advertisements, which are categorized into Unboxing review, Product placement, Item recommendation, and Brand customization. Based on the above classification, this study employs content analysis method to explore the creative patterns and underlying reasons of short video advertisements in the field of fashion and beauty on Weibo from four dimensions: Product information, Video information, Advertisement design, and Appeal strategy. Two creative recommendations for short video advertisement creation are proposed: (1) Mining brand concepts and product characteristics to craft comprehensive short video advertisements. (2) Creating innovative short video advertisements through refined narrative strategies.
Environmental Metamorphosis: An Analysis of the Causes of the Differences between the Female Views of Tibetan Buddhism and Chinese Buddhism
Authors: Jing Linlin
Published: June 2024

By analyzing the formation of Buddhist view of women in ancient India and the development of Buddhism after it was introduced into different regions of China, the author explores the differences between Tibetan Buddhism and Chinese Buddhist view of women and the reasons for their formation. In Tibetan Buddhism, women 's status is higher, and men and women are relatively equal; the status of women in Han Buddhism is relatively low. The view of women in Han Buddhism is influenced by Confucianism. Although there is the concept of equality between men and women, it still shows that men are superior to women in the practice of life. Tibetan Buddhism shows a unique view of women with Tibetan characteristics. On the whole, the view can be divided into women 's liberation tendency at the conceptual level and masculinity at the practical level.
School Learning Management Influencing the Students’ Satisfaction on Online Learning in a University in Jiangsu Province
Authors: Ji Meizhen
Published: June 2024

This study intends to determine the school learning management influencing the satisfaction of students in the online learning in China. Now that the world is continuously healing and being under control from the virus, many schools initiated the return to the face- to- face encounter of teachers and students. However, students are still finding themselves more familiar with learning through live streams or videos. Educators are also looking for ways to engage their students online with the new digital shift in traditional classes, thus driving the fundamental mind shift to e-Learning. This study focuses on how the school is managing the online learning. Specifically, this study will determine if there is a significant difference in the assessment of teachers on the status of school learning management on online learning in terms: online materials, online assessment and feedbacks, online interactions and related online supports. The study will also describe the satisfaction of students on online learning in terms of: perceived ease of use, perceived usefulness, computer self- efficacy, and satisfaction. The findings of the study will serve as the basis for proposing school management program to improve the delivery of online learning.
Research on the Present Situation and Countermeasures of Photography Teaching in China University
Authors: Tang Chengqi
Published: June 2024

With the popularization and development of photography, photography education plays a more and more important role in China university education. This paper aims to analyze the current situation of photography teaching in China University, and put forward corresponding countermeasures to improve the quality and level of photography teaching. First of all, through the analysis of the curriculum, teaching facilities, teaching methods and teaching staff of photography teaching in China University, the existing problems are found. Subsequently, in view of these problems, some countermeasures are put forward, such as optimizing the curriculum and content, strengthening the construction of teaching facilities and equipment, updating teaching methods and means, and improving the quality of teaching staff. Finally, the feasibility of these countermeasures is analyzed, including the guarantee of teaching resources, the training of teachers and the promotion of teaching reform. The purpose of this study is to provide feasible improvement schemes and suggestions for photography teaching in China University.
Research and Application of Visible Light Communication Technology
Authors: Xu Chentao
Published: June 2024

In recent years, the rapid growth of mobile devices and wireless services has created a significant demand for RF-based technologies. Among the various emerging wireless communication forms, Visible Light Communications (VLC) stands out as a potentially transformative technology that not only complements RF communications but also introduces innovative possibilities for mobile wireless device applications. VLC utilizes visible light for communication, offering high-speed data transmission, improved energy efficiency, and enhanced communication security and privacy. This article thoroughly explores VLC, discussing its core concepts, fundamental principles, and essential technologies that define this rapidly developing field. By providing insights into the intricacies of VLC, readers can gain a better understanding of its mechanisms and capabilities. The exploration also extends to elucidating the diverse application scenarios where VLC can be effectively applied, showcasing its versatility and potential impact on various sectors. This comprehensive survey not only presents the current state of VLC but also predicts future development trends, providing a forward-looking perspective on the evolution of this technology. As the demand for efficient and secure wireless communications continues to rise, VLC emerges as a promising frontier, poised to play a pivotal role in shaping the landscape of communication technologies in the years to come.
A study on the impact of the threat of exit from non-controlling shareholders on audit fees
Authors: Chen Zhiyi , Zhou Xingyu
Published: June 2024

Taking all A-share listed companies from 2010 to 2021 as a sample, this paper examines the impact of the withdrawal threat of non-controlling shareholders on audit fees. The results demonstrate a considerable reduction in audit fees in the event of an exit threat by a non-controlling shareholder. Further analysis shows that the impact of the withdrawal threat on audit fees is particularly obvious in non-state-owned enterprises and enterprises with a high degree of marketization. Mechanism test reveals that the threat of exit can reduce the risk of stock price crash, inhibit surplus management, and thus reduce audit fees. This paper provides new ideas and empirical support for the role of non-controlling shareholders in corporate governance structure.
Research on magnetic influence factors and optimal design of wall-climbing robot
Authors: Liu Jingang
Published: June 2024

The adsorption stability and motion flexibility are one of the core problems restricting the development of wall-climbing robots. In order to solve the problem of wall-climbing robots, the basic structure of magnetic adsorption unit is introduced in detail. Secondly, the finite element analysis software was used to optimize the simulation of the relationship between the parameters of the magnetic adsorption unit and the magnetic adsorption force through the control variable method. After optimization, the magnetic adsorption force of the magnetic adsorption unit was significantly improved under the condition that its own volume was unchanged. Finally, the experiment is carried out to verify.
Research on the Target Model and Implementation Path of Bilingual Curriculum Construction in Vocational Colleges under the "Double High Plan"
Authors: Zhang Qian
Published: June 2024

The "Double High Plan," aimed at constructing high-level vocational schools and programs with Chinese characteristics, is a crucial initiative for implementing the "National Vocational Education Reform Implementation Plan." Under the "Double High Plan," developing bilingual courses in vocational colleges aligns with the trend of vocational education internationalization and is essential for nurturing globally innovative talents. To develop bilingual courses, vocational colleges should establish development goals, devise bilingual course plans tailored to vocational education, create effective incentives for bilingual teaching, and actively practice and promote bilingual course development through teacher training, teaching resource construction, innovative teaching methods, and assessment reform. This approach provides theoretical guidance and practical experience for bilingual course teaching reform and international talent cultivation in vocational colleges.
Impact of Fuel Waste Emission on Pollution of Ocean Water
Authors: Yu Leyang
Published: June 2024

As ocean is taking about 70% of the whole globe, the pollution problem of earth is severe and should be drawn more attention to. With this research paper, it can inform the readers on how severe the problem is, what is the cause of the global issue—ocean pollution and how to improve, modify and change. This research paper discusses about the issue existing nowadays—ocean pollution and analyze it from the perspective of fuel wasted emission. The cause is analyzed from mainly two angles, the wastes generated by shipping industry and the waste generated by coal burning industry. Furthermore, the process of waste emitted from engines and the process of burning coal and the component of heavy fuel oil discharged is explained. Moreover, the negative impact on various aspects is explored and several possible solutions are provided, for example limiting the polluting components in a commonly used fuel—HFO and developing machineries to reduce and eliminate the smoke produced during process. The paper wants to gather readers attention, raise awareness on this global issue and make suggestions that can make a change.
A Comprehensive Analysis of PID Control Applications in Automation Systems: Current Trends and Future Directions
Authors: Chen Rui
Published: June 2024

Proportional-integral-derivative (PID) control is a reliable control system that is often utilized in engineering practice because to its simplicity, stability, and ease of tuning. The proportional, integral, and derivative terms that make up PID control are crucial for managing a variety of systems across many sectors. These controllers have shown to be particularly successful in scenarios when complete system information is lacking. This essay explores the foundations of PID control and highlights its adaptability to a variety of scenarios, including manufacturing, chemical reactions, and power systems. PID control is continuously changing to satisfy the dynamic demands of modern industry in addition to conventional applications. The investigation covers the most recent research results and sheds light on the difficulties that the PID control area faces. New complications are coming up as the sector develops, necessitating constant improvement of PID control techniques. Ultimately, the story offers suggestions for PID control's future, acknowledging that improvements are required to keep up with the demands of developing technology. The study highlights PID control's ongoing importance as a foundational engineering technique and provides evidence of its flexibility and ongoing significance in influencing the direction of technological advancements across a range of industries.
Crawler Data Visualization in the Tourism Industry Based on Python
Authors: Wang Ao
Published: June 2024

Data visualization is being widely used in various fields, such as medicine, biology, economics, and other disciplines. In the tourism industry, whether the display of tourism resources, the planning of tourism routes, the feedback of tourists' experience, and so on, all of them become clearer and more intuitive through data visualization. In particular, Python-based data visualization has many advantages in the tourism industry. This paper mainly analyzes the current situation and advantages of Python-based data visualization in the tourism industry, and puts forward corresponding improvement measures and suggestions, aiming to help tourism practitioners and tourists use data visualization more conveniently and efficiently. It is found that data visualization plays an important role in displaying tourist attractions, planning tourist routes, and enhancing the experience of tourism services. However, the problems of data visualization in tourism, such as insufficient interactivity and single visualization style, require improvement measures. For example, methods such as optimizing algorithms and introducing interactive visualization tools can solve these problems. The purpose of this study is to promote a wider and more effective application of data visualization in the tourism industry so that tourism-related industries can be more efficient and intuitive when using data visualization tools.
Path Selections in the Development of Low-Carbon Economy
Authors: Bi Shuning , Jiang Lan
Published: June 2024

The development of a low-carbon economy plays a crucial role in human survival and the sustained and healthy development of economic society, and its trend is irreversible. This article delves into the core concepts of a low-carbon economy, further exploring the importance of promoting its development and the current challenges it faces. Based on this, practical path selections for the development of a low-carbon economy are proposed, aiming to effectively overcome various difficulties in the process and achieve harmonious coexistence between economic development and ecological protection, thus promoting comprehensive and sustainable development of human society.
Application and Development of Flight Data Monitoring System in Aviation Safety Management
Authors: Wang Chengdong
Published: June 2024

Safety is the eternal theme of civil aviation. With the progress of society and the development of economy, the development of general aviation is imperative, and people's attention to navigation safety is getting higher and higher. Modern and effective safety management methods and tools need to be adopted to improve general aviation safety production levels. The application of the successful application of flight aviation quality monitoring to general aviation is an effective way to effectively improve the general aviation safety production level.
Analysis of Pharmaceutical Processes and Related Problems Using Biotechnology: Taking EPO Production as an Example
Authors: Zhang Xuyuan
Published: June 2024

Biotechnology is increasingly being used in pharmaceutical production. Solve the problems encountered in the current pharmaceutical process to help more efficient production. It is now possible to produce protein drugs such as EPO with relative maturity. People can use related biotechnology to solve some of the problems encountered in production. However, many biotechnology applications have not yet been integrated into the pharmaceutical process. This study first introduced the role of EPO in human body, the mechanism of EPO and the application field of EPO. Then, the production process and biotechnology involved in EPO generic drugs are analyzed. Finally, the existing shortcomings of relevant processes, processes, technologies and optimization methods are analyzed, and a production model suitable for most protein drugs is obtained. This study provides reference suggestions for the production process and technical optimization of protein drugs for future research, but does not analyze drugs other than protein drugs. Future research can focus on the pharmaceutical process of nucleic acid drugs, polysaccharide drugs and other types of drugs and related problems analysis, and can also supplement and optimize the results of this research.