bluuebunny/crossref_metadata_2025 huggingface dataset:
Integration of Moral Self-Discipline in Sports Management: Cultivating Future-Ready Students through Sports Education Program in Physical Education
Authors: Sun Yayangzi
Published: June 2024

The researcher investigated how moral self-discipline is integrated in the physical education course particularly in sports management with regards to the moral self-discipline initiatives integrated in the sports management in terms of practicality, growth, and integration as well as to how it cultivates competencies for future-ready students as regards to cognitive, interpersonal and intrapersonal. The data was gathered from students’ participants using a self-made questionnaire that have subjected to validation. Findings revealed that moral self-discipline initiatives are slightly integrated into the sports management of the physical education course in terms of practicality, integration, and growth. According to the respondents, the impact of moral self-discipline initiatives in sports management on cultivating competencies for future-ready students is deemed to have "no cultivation at all" in terms of cognitive, interpersonal, and intrapersonal aspects. However, there is very strong positive correlation between moral self-discipline initiatives integrated in the sports management and the cultivation of competencies for future-ready students. This addresses the necessity of formulation of a sports education program to cultivate the competencies of future-ready students.
Fault Diagnosis of Gearbox Based on CNN and LSTM with Attention Mechanism
Authors: Cheng Kefan , Cheng Longsheng , Mao Ting , Wu Mengdie
Published: June 2024

Gearbox is a key component of mechanical equipment, which has a complex structure, harsh working conditions, and a higher probability of failure. Therefore, gearbox fault diagnosis is vital to ensure the efficient operation of the whole mechanical equipment. However, traditional gearbox fault diagnosis methods mainly rely on manual feature extraction. To address this issue, a novel end-to-end fault diagnosis model that combines convolutional neural network (CNN), long short-term memory network (LSTM) and attention mechanism (AM) is proposed. Firstly, Spatial features are extracted from the original input data using CNNs, and then temporal features are extracted even further from the spatial features using LSTMs. The attention mechanism improves the network's attention to the global key features by assigning weights, and finally, the fault diagnosis results are derived from the fully connected layer and Softmax classifier. The experimental results show that the method is able to adaptively extract features and ensure higher diagnostic accuracy, validating the effectiveness of the proposed method.
Impact of Plastic Pollution on Ocean and Control Measures
Authors: Bian Jingqi
Published: June 2024

As plastic production has increased exponentially in the last 15 years, plastic pollution has become one of the most serious environmental issues in the world, due to its nonbiodegradable properties. Therefore, plastic production has caused lots of problems for the natural environment and wildlife, especially the ocean and marine organisms. In this paper, the severity of plastic pollution and its effect on marine ecosystems are explained, and the measures that can reduce plastic pollution are discussed. In the future, people should limit the use of plastic products, and the improper disposal of plastic items should be prohibited. This study provides a theoretical basis for people to learn about how plastic pollution negatively affects the ocean environment and what humans can do to reduce the negative impact of plastic pollution on the ocean.
A comparative Analysis of Image Enhancement Using Autoencoders and Generative Adversarial Networks
Authors: Ying Minhua
Published: June 2024

The purpose of this study, which focuses on image enhancement methods, is to investigate how various methods contribute to higher-quality photos in particular applications. Tracing the history of image improvement, encompassing the technological evolution of early photography from the 19th century to the present. The foundation of conventional image enhancement technology, which directly affects image elements and transformation coefficients, respectively, emphasizes frequency domain and spatial domain processing. It is noted that the application of autoencoders and generative adversarial networks to image enhancement as a deep learning training strategy has shown effectiveness in picture classification, target recognition, and image segmentation. This article primarily examines and contrasts autoencoders and generative adversarial networks, summarizing their applicability, constraints, benefits, and drawbacks and talking about the patterns in their upcoming development. The study has guiding value for advancing the development of picture technology and offers significant theoretical and empirical support for the field of image enhancement.
Study on the Development Path of Cosmetics in China
Authors: Lin Yixuan
Published: June 2024

With the improvement of economic level and the change of people's consumption concept, cosmetics have become an essential item in people's life, which led to the outbreak of the personal care industry of cosmetics and provided the soil for private business. With the development of China's economy and the improvement of consumption capacity, since the millennium, domestic cosmetics brands have begun to rise, especially as the post-90s and post-95s become the main consumers, China-Chic consumption has become a trend, Since 2016, a large number of cutting-edge brands (such as Huaxizi and Perfect Diary) have emerged to promote the comprehensive rise of domestic products, breaking the long-standing pattern of foreign brands leading the beauty and personal care market. Therefore, China's cosmetic market has made remarkable progress in recent years, and more and more Chinese brands are loved by people, thanks to the rapid development of the Internet, which has indirectly led to the live bandwagon. This paper will introduce the market scale of Chinese cosmetics in detail, as well as discuss the current situation and problems of the development of Chinese cosmetics. Finally, the paper will illustrate the development path and outlook of China's cosmetics in terms of investment in research funding and digital transformation.
Comparative study on power decoupling technology based on double frequency disturbance suppression of single-phase photovoltaic inverter
Authors: Chen Xinjie
Published: June 2024

During the grid connection process, single-phase photovoltaic inverters frequently encounter the issue of instantaneous power imbalance between the AC and DC sides. This results in twice the line frequency disturbance power being transmitted to the DC side, severely affecting the system's stability and performance, especially maximum power point tracking efficiency. To address this problem, research in photovoltaic grid-connected technology is now focusing on power decoupling technology to suppress double-frequency disturbances, referred to as power decoupling. This article covers the three main approaches to power decoupling—passive, active, and composite—and focuses on analyzing the circuit topology of the latter two approaches applied to single-phase photovoltaic inverters. The advantages and disadvantages of different power decoupling circuit topologies are discussed in detail, and a comparison is made in this article. Detailed discussions on current power decoupling technology trends and potential future directions, as well as recommendations for further refining grid-connected PV technology, are provided.
Innovative design of energy generation and storage devices based on road speed bumps
Authors: Guo Shanhua , Zhang Xitong , Li Yuzhang , Yang Litong , Wang Tao , Li Danyang , Zhang Changjiang
Published: June 2024

This paper presents an innovative design that aims to solve the problems of conventional speed bumps. The speed bump is capable of adjusting the cushioning strength in real time according to the speed of the vehicle and is equipped with a power generation facility. When a vehicle passes over the speed bump, the device converts the force exerted by the vehicle into electricity, which is stored in a battery. In low light conditions at night, the LED deceleration warning light provides a warning through the power generation facility, ensuring safe and comfortable driving. In addition, the speed bumps have a sunken design that reduces vehicle bumps, while powering the street lights at night through a sunken drive motor and generator. Each pass can generate 30KJ of electricity, and if 30,000 vehicles pass through each day, it can recover 5,000 watts of electricity per hour, reducing energy loss compared to traditional energy transmission methods. Modular design reduces the system price, low transformation threshold, can be applied to traditional speed bumps, reducing the cost recovery cycle to about one year, expanding the application scope.
Sensor-based Target Location Technology in Intelligent Transport Systems
Authors: Li Zhehang
Published: June 2024

This paper explores the critical role of sensor-based targeting in Intelligent Transport Systems (ITS). The rapid growth of vehicles put forward challenges to congestion and emissions, and most contraries’ departments use ITS to solve the problem. The key to ITS is positioning the traffic participants precisely to collect the necessary data for the system operation. This study provides a review of previous research on sensor-based target localization and its importance in ITS. It discusses various sensors suitable for ITS applications, detailing their functionality and contribution to system efficiency, accuracy, and safety. In addition, this paper designs an experimental case that provides a deeper analysis of these sensors. This experiment tries to use minimum mean squared error and Kalman filtering to reduce error. The results of the study show that methods similar to minimum mean squared error and Kalman filtering can reduce the error effectively. This research contributes to understanding the use of sensors in ITS, digging their potential to revolutionize modern transport systems.
Research on Damage Identification of Truss Structures based on Bayesian Updating and Rejection Sampling Method
Authors: Cao Yikun , Li Xuguang , Luo Ruyao
Published: June 2024

The research on the early damage detection method of truss structure has important practical value for taking remedial measures in time and reducing the hidden danger of safety. In this study, a specific structural truss beam was designed and the seismic action was simulated. Subsequently, specific nodes are analyzed to assess the resulting structural damage. Bayesian updating method solves the uncertainty problem effectively by introducing the prior distribution and updating the posterior distribution with new observation data. This allows the model to infer global patterns from local information and represent the predicted outcomes in probabilistic form. Compared with the traditional parameter estimation methods, Bayesian updating can make full use of the existing observational data and obtain more reliable and accurate model prediction results in the case of limited data. The Bayesian method of updating the truss structure is flexible and adaptable, allowing updates and adjustments to be made at any given time based on new observational data. As a result, it has significant advantages in analyzing and predicting real-time data and is suitable for scenarios where models need to be dynamically adjusted.
Application of metal-organic frameworks for CO2 capture
Authors: Zhao XingKai
Published: June 2024

The emission of carbon dioxide (CO2) is gradually increasing, and CO2 adsorption from post-combustion processes in thermal power plants could be a viable option. As a solid adsorbent for CO2 capture, metal-organic frameworks (MOFs) have higher selectivity and capacity for flue gas. Compared with traditional adsorbents, calgary framework 20 (CALF-20) that belongs to a zinc-based MOFs, efficiently captures CO2 from flue gas and is affordable and durable also, which lays the foundation for its large-scale production. This article will introduce the overall idea of CO2 adsorption, the structure of CALF-20, selectivity for N2 and H2O, competitive adsorption with H2O-CO2 and durability, and verify the excellent performance of CALF-20 with experimental results. In addition, the possibility of mass production was also shown. Specifically, CALF-20 is not as difficult to large scaling produce as other MOFs. In fact, its large-scale industrial production is feasible with its advantages of low cost, high yield, stability, environmentally friendly and safety.
Research on Teaching Strategies of Group Reading in Primary Chinese based on Learning Task Group
Authors: Mou Xinyue
Published: June 2024

This paper aims to explore the teaching strategy of group reading in primary school Chinese language education based on learning task groups. Through the construction of theoretical framework or conceptual model, the design and implementation of this teaching strategy are systematically expounded. Firstly, an overview of primary school Chinese language education, group reading teaching, and learning task group theory is provided, laying a theoretical foundation for the subsequent research. Then, the design principles, implementation steps, and preparation of teaching resources for the teaching strategy based on learning task groups are elaborated in detail. In the results section, the impact of this teaching strategy on students' reading levels and learning outcomes is analyzed. Finally, in the discussion and analysis section, the effectiveness of the teaching strategy is analyzed and evaluated, and comparisons with previous studies are made, along with prospects for future research. The conclusion summarizes the main findings of the study and discusses its contributions and implications for primary school Chinese language education, providing suggestions and insights for improving teaching practices.
Analysis of the Impact and Countermeasures of Social Media on Adolescents
Authors: Chen Zanxin
Published: June 2024

Social software has also become a part of our lives, and their appearance has greatly changed people's lives. It not only provides great convenience for people to establish and expand social relationships, but also provides an important way for people to understand the outside world information. Adolescents are also gradually becoming an important group of social media users. The influence of social media on adolescents is a "double-edged sword". Especially, MicroBlog, with its immediacy, interactivity and simplicity, has been widely favored by teenagers. Therefore, it is important to understand the use of MicroBlog by teenage students in China, find out its impact on teenagers, analyze the problems that exist in the process of teenagers' use and put forward corresponding suggestions, which can also provide a reference for the development of other social media platforms.
Advanced Mathematics Course Ideological and Political Integration Strategies and Practice Research
Authors: Zhao Meimei , Zhao Youyi , Li Hong
Published: June 2024

Taking the differential equations course as an example, this paper discusses the integration strategies and practice of ideological and political education in advanced mathematics courses, and analyzes the logicality of the knowledge system of the differential equations course, the advantages of cultivating students' mathematical thinking, and the connotation and extension of ideological and political education. It reveals the lack of ideological and political education in the teaching of the differential equations course, the insufficient exploration of ideological and political education resources, and the monotony of the ideological and political education model. In response to these problems, it proposes to strengthen the integration and innovation of the content of ideological and political education in the differential equations course, improve the ability and quality of teachers' ideological and political education in the differential equations course, and build a diversified ideological and political education model in the differential equations course. Summarizes the importance, optimization direction and strategy of ideological and political education in advanced mathematics courses, and the enlightenment to my country's ideological and political education in advanced mathematics courses.
Application of artificial intelligence technology in network security
Authors: Zhou Yu , Liang Yijie
Published: June 2024

Artificial intelligence technology has shown significant application advantages in cyberspace security, especially in the fields of the Internet of Things and system security. It enhances threat identification and risk assessment through self-directed learning and pattern recognition. Artificial intelligence technology is currently applied in many fields, such as firewalls, junk advertising, and computer security monitoring, and has played an important technical support role. The future development prospects of artificial intelligence technology are very broad. If integrated with computer network security technology, it can effectively reduce various dangers and improve computer network security. This study summarizes the concept, development, and cross-field application of artificial intelligence and focuses on its application advantages in network security. The paper further puts forward the cyber security strategy based on artificial intelligence technology. It emphasizes that the use of artificial intelligence technology can effectively improve the efficiency of network defense and automatic processing of intrusion. Finally, the conclusion points out the importance of artificial intelligence technology in network security and looks forward to future development.
Advances in metal-organic frameworks for hydrogen storage
Authors: Zhao Yening
Published: June 2024

With the advancement of science and technology and the rapid growth of the population, the global consumption of energy is increasing rapidly. Traditional fossil fuels are non-renewable resources, and their combustion emits large amounts of greenhouse gases, intensifying the pace of global warming. Therefore, people are looking for renewable resources as an alternative. Among them, hydrogen has attracted much attention due to its high energy density, the combustion product of water, and its wide range of sources. However, efficient and safe storage strategies are required to realize the wide application of hydrogen energy. One of the best materials for storing hydrogen at the moment is metal organic frameworks (MOFs), a three-dimensional porous structure material that has drawn interest because of its large surface area, tunability, and recyclability. For this reason, the preparation techniques for MOFs are initially summarized in this article. The fundamentals of MOFs' hydrogen storage were then described, along with the ways in which various circumstances affect how well they store hydrogen. In conclusion, pertinent ideas for modification were put out to enhance their hydrogen storage effectiveness and offer direction for the creation of materials for hydrogen storage.
Research on Corporate Brand Marketing Strategies in the Context of the Digital Economy
Authors: Li Jiaxu
Published: June 2024

With the rapid development of the digital economy, new opportunities and challenges have emerged for business development. Companies seeking stable growth in the fierce industry competition must recognize the importance of brand marketing. The digital economy, with its unique appeal, provides expansive development space for corporate brand marketing. However, brand building is not an overnight achievement but a long-term process gradually shaped in consumers' minds. Thus, companies must adapt to market developments and leverage the power of the digital economy to achieve a digital transformation of brand marketing. The digital economy enables deep interaction between businesses and consumers. Through precise data analysis and personalized recommendations, companies can better understand consumer needs and enhance brand loyalty. By fully utilizing digital marketing tools, companies can quickly spread brand messages, expand brand awareness, and enhance market competitiveness. However, influenced by objective factors, certain issues arise in practice. Businesses need to transform their marketing ideas, create products with unique characteristics, find accurate brand positioning, develop targeted marketing strategies, and enhance brand competitiveness.
Problematic Internet Use among Adolescents: A Review of Influencing Factors and Coping Strategies
Authors: Wu Mengting
Published: June 2024

Currently, the Internet is deeply embedded in human life, and adolescent problematic Internet use has become a global public health challenge. This review explores the influencing factors and coping strategies of adolescent problematic Internet use. Theoretical models such as I-PACE, Internet Compensation Theory, Attachment Theory, and Socio-Psycho-Physiological Model are involved. Macro to micro factors is analyzed: internet anonymity, family and school environment, personality, self-control and emotional problems. Point out the physiological, psychological, and behavioral effects of problematic use. Propose prevention and intervention strategies such as cognitive-behavioral therapy, family therapy, and exercise interventions to support adolescents in overcoming problematic Internet use challenges.
"Three-Wide Education" in the Field of College Moral Education Model and its Operating Mechanism
Authors: Liang Bingjin
Published: June 2024

The fundamental of my country's education reform lies in the people of Lindu. "Three-wide education" is based on the task goals proposed by colleges and universities. It has important guiding significance for the exploration of the moral education model of colleges and universities. The basic connotation of the moral education model of colleges and universities is very rich under the field of "Sanquan Education". It adheres to the focus of education as the focus of the work, all members participate in the joint force, the whole process is effectively connected, and the linkage is comprehensive. Based on this, this article deeply interprets this connotation, combined with the outstanding realistic dilemma faced by the current moral education model of colleges and universities, trying to improve the moral education model of colleges and universities in multiple aspects to give full play to the role of moral education in colleges and universities, solve some long -term restriction of high -quality development of college education, Bottleneck problem.
Product potential user prediction based on machine learning
Authors: Yu Jingyi
Published: June 2024

In today's ever-changing business environment, it is crucial for businesses to market their products with the needs of users in mind to increase profitability. With consumers increasingly receiving services through digital platforms, analyzing potential users of products through big data has attracted extensive attention from researchers. The obvious differences in characteristics between users have greatly increased the difficulty of predicting potential users of a product. Fortunately, machine learning-based data analysis methods offer solutions to this complex task. However, there are obvious differences in usage scenarios and performance between different algorithms, which brings inconvenience to practical applications. This study delves into machine learning-based methods for product prospecting, including k -nearest neighbours (KNN), support vector machine (SVM), decision tree, XGBoost and random forest. Meanwhile, the performance of these algorithms is compared with data to analyse their advantages and disadvantages. Finally, the full paper is summarized and future research directions are envisaged.
Study on Enhancement of Acid Production by Combination Fermentation of Caproic Acid-producing Bacteria and Lactic Acid-producing Bacteria
Authors: Xia Shangchao , Ye Guangbin , Li Jie
Published: June 2024

A new caproic acid bacteria 20-5 (Caproicibacterium sp.) was newly screened in the laboratory, and several high-quality lactic acid bacteria A2-3 ( Sporolactobacillus fermentans ), GCB-3 ( Pediococcus acidilactici ), KR-4 ( Lactiplantibacillus plantarum ), LY-5 ( Levilactobacillus brevis ), B2-1 ( Lactiplantibacillus plantarum ) were used for exploratory compound fermentation experiments. The compound fermentation was a caproic acid bacteria (20-5) alone plus four lactic acid bacteria ( A2-3, GCB-3, KR-4, LY-5, B2-1 ), the experimental ratio was set up four groups of compound ratio of 1 : 2,1 : 1,5 : 1,10 : 1. The optimum ratio of 20-5 to B2-1 was 10 : 1, and the total acid yield reached 26.75 g / L. The best caproic acid production capacity after compounding was the 10: 1 group of 20-5 and B2-1, and the caproic acid yield was 7.22 g / L. The average lactic acid content in the fermentation broth was 4.52 g / L after compounding. After compounding, the acid production of the 1 : 1 and 5 : 1 groups of 20-5 : A2-3 and the 10 : 1 group of 20-5 : B2-1 increased compared with that of single bacteria. In the other compound groups, the acid production capacity decreased after the compound operation, and the lactic acid production generally decreased, but the caproic acid production increased, indicating that caproic acid bacteria can use lactic acid as a carbon source for fermentation and acid production activities, so that caproic acid bacteria can produce caproic acid.
Mathematical Modelling and Optimisation in Multibeam Bathymetry: A Study of Coverage Width, Overlap Rate and Course Optimisation
Authors: Bai Zhiwei , Zhang Xiaoxin , Sun Yuying
Published: June 2024

This paper focuses on the field of multibeam bathymetry, firstly, a two-dimensional mathematical model with coverage width, overlap rate, and seawater depth as the objectives is established by using the trigonometric properties, the terrain slope factor and the effect of different survey line distances from the centre on multibeam bathymetry. Matlab software was used to solve the model, and the expressions for the coverage width and the overlap rate of adjacent strips were obtained. Secondly, for the multibeam bathymetry along a certain direction, based on the three-dimensional geometric seawater depth model, the coverage width model corresponding to different survey line directions was obtained by using the classification discussion method. Finally, through the optimisation model and traversal algorithm, the optimisation model that meets the requirement of the overlap rate of adjacent strips is established with the objective of minimising the total routes, and solved by the cyclic traversal idea. This study provides a comprehensive mathematical model and optimisation method for multibeam bathymetry, and lays a theoretical foundation for practical applications in related fields.
Psychological Mechanism of Flowing Male Stars' Cross-gender Endorsement on Young Women's Consumption Behavior
Authors: Li Zinan
Published: June 2024

The purpose of this study is to explore the psychological mechanism of cross-gender endorsement of mobile male stars on young women's consumption behavior. Through literature review, current situation analysis and empirical research, this paper reveals the psychological motivation and influence behind this phenomenon. It is found that the cross-gender endorsement of flowing male stars has a significant impact on young women's consumption behavior, which is mainly realized through psychological mechanisms such as attention attraction, emotional identity and conformity psychology. Enterprises should make full use of this phenomenon and formulate targeted marketing strategies to meet the consumption needs of young women. Based on these findings, this paper provides enterprises with a series of marketing strategies and suggestions for young women's market. This study not only enriches the relevant theories of consumer psychology and marketing, but also provides a useful reference for enterprises to formulate effective marketing strategies.
A Comparison Between A* and RRT Algorithm in Path Planning for Mobile Robot
Authors: Cai Qixuan
Published: June 2024

The ability of mobile devices to navigate environments is vital. Navigation plays a critical role in averting collisions and hazardous situations.The design of paths is an essential component of robot navigation. comprising the ability to determine the optimal route from the robot's current location to a given destination. And in all state-of-the-art algorithms for robots to design the optimal route, A* and RRT algorithm stand out as the two most widely used path planning techniques, one is graph-based approach while the other is sample-based. In this paper, some variants or improvement of the two methods will be described. And a comparison about A* and RRT will be presented with appropriate criteria, which are path length and computational time. The main finding is that the A* method outperforms the Rapidly Exploring Random Tree (RRT) approach in terms of computational efficiency and path distance optimization. But it requires to consider more thoughts in applications. The comparison of the A* and RRT algorithms helps comprehend their applicability in various application circumstances. In this work, Evaluating these aspects altogether comprehensively provides a deeper understanding of the suitability of each algorithm for specific robotic navigation tasks.
Research On the Influencing Factors of Pulp Import Trade in China
Authors: Yang Yifan , Li Lingzhi
Published: June 2024

Paper industry is an important basic industry of the national economy, is recognized as "never exhausted" industry. In the 21st century, with the development of social economy, China has become the world's paper products consumer power. Since 2003, China's pulp imports ranked first in the world, and the gradually expanding trade deficit will not only have an impact on China's pulp industry, but also is not conducive to the sustainable development of import trade. Based on the production and consumption gap in China's pulp market, this paper analyzes the demand, scale and structure of pulp import trade, and then empirically analyzes the influencing factors of China's pulp import trade, and finally puts forward the suggestions for safeguarding the safety and interests of China's pulp import trade according to the research results.
Study on the Translation and Dissemination of Howard Goldblatt’s Red Poppies in UK and US
Authors: Yuan Xinyue
Published: June 2024

Chinese culture “going out” is a strategic goal of national development, and the translation and dissemination of Chinese literature is an important tool. Chen Ai Luo Ding, a classic novel by the famous writer Alai, was translated by translator Howard Goldblatt and his wife Sylvia Lin, under the title Red Poppies. In view of the strong influence of the novel, and standing on the perspective of medio-translatology, and the communication process principle in Harold Lasswell’s communication model theory, this paper analyzes the interaction of the five elements of translation and communication model proposed by Ms. Bao Xiaoying (i.e., the subjects, contents, channels readers and effect of translation). The aim is to analyze and summarize the shortcomings of the study, to provide reference for scholars at home and abroad to do similar studies in the future, and to help the translation and dissemination of Chinese literature and culture in the future.
Research on the Concept, Architecture and Construction Strategy of Intelligent Language Laboratory
Authors: Zhong Xing
Published: June 2024

With the rapid development of artificial intelligence technology, smart language laboratory plays an increasingly important role as an important research platform in the field of artificial intelligence. This paper discusses the concept, characteristics and functions of the smart language laboratory, and analyzes the architecture of the smart language laboratory, including the construction of hardware facilities, software system, data resources and talent team. Meanwhile, the construction strategy of smart language lab is proposed, including construction planning, technology selection, team building and operation mode. The practical experience of smart language labs at home and abroad is analyzed through case studies, and the development trend and future outlook of smart language labs are summarized.
Practice Research on Strengthening the Construction of Campus Culture and Promoting the Development of School Moral Education System
Authors: Sun Xiaoran
Published: June 2024

With the in-depth development of quality education and the effective implementation of the new curriculum reform, the construction of campus culture is facing new challenges. Only by adapting to the development needs of the new era and advancing with The Times, the campus culture can glow with new vitality and charm. This requires the school to re-understand the campus culture, innovation and development on the basis of inheritance. This article analyzes the important value of carrying out the cultural construction in the school, expounds the present situation of physical education teaching, and explores the path to promote the construction of campus culture.
Review of Green Building Supply Chain Research at Home and Abroad
Authors: Zhang Xuhui
Published: June 2024

In 2020, China proposed the goal of "striving to reach the peak of carbon dioxide emissions by 2030 and making efforts to achieve carbon neutrality by 2060." In the future, the construction industry in China will inevitably develop towards the direction of building more resource-saving, environmentally friendly, and pollution-reducing high-quality buildings. This paper starts from the concept of green building supply chain, the significance of its development, and its practical applications, and reviews the relevant literature on green building supply chain at home and abroad in recent years. By analyzing the shortcomings of existing studies, it puts forward the future prospects of green building supply chain research.
Chinese Economic Outlook: Unemployment Changes and Sector Shifts
Authors: Liu Zhuochen
Published: June 2024

A vivid image of the future of the Chinese economy proves essential in navigating the complex future of the Chinese economy. Under the impacts of the prolonged quarantine in China and the nation’s strong recovery in the high-tech sector following large financial market reforms, the future of the Chinese economy becomes increasingly uncertain with the likeliness of a period of expansion as well as development to redistribute sectors within the Chinese economy. With seemingly contradictory trends of development, such forecasts become increasingly urgent. In this study, through the statistical exploitation of the unemployment rate of China, coupled with policy and economic analysis of the nation, this paper sought to determine the future of the Chinese economy through both structural perspectives and its overall trend, shedding light on some of the ambiguity of the future. Although the forecast of unemployment proved to be flat under the exploitation of two different models following manipulation and testing of the data, news, and policy generated other insights from which a more accurate and specific conclusion regarding the Chinese economy can be derived. Finally, the research explores in detail the implications of the alternations in the Chinese economy.
Pragmatic Translation: Application of Relevance Theory in Film Dialogue Translation
Authors: Jia Yixi
Published: June 2024

As a type of cultural medium that transcends national boundaries, films are not only conveys rich story lines and profound theme thoughts, but also shows the charm of various languages in communication. Pragmatics, as a branch of linguistics, studies the meaning and function of language in practical use and provides crucial theoretical support and practical guidance for film dialogue translation. From the pragmatics point of view, film dialogue translation should not only pay attention to the accuracy of language, but also focus on the influence of context and culture on language comprehension. This paper aims to explore the principles and methods of film dialogue translation from the perspective of pragmatics, and to analyze how to achieve effective translation of film dialogue on the basis of maintaining the original style and emotional expression, in order to provide new ideas and methods for the practice and research of film translation.
Dual-band microwave sensor based on cross-finger MCSRR Research
Authors: Gao Danni
Published: June 2024

This paper presents a low-cost, easy-to-fabricate microwave resonant sensor for characterising the dielectric properties of solids. The designed sensor is based on a Rogers RT/duriod 5880 substrate with a cross-finger treated Multiple Complementary Split-Ring Resonator (MCSRR) structure etched on it, and this resonance unit is used to place the Material Under Test (MUT). The sensor operates at 5.8 GHz and 8.3 GHz resonant frequencies and uses offset resonance to detect the dielectric properties of different solids. The relationships established by the simulation were experimentally verified by the fabricated sensor. The percentage error between the calculated dielectric constant and the reference dielectric constant is less than 9.58% for a certain thickness of the sample to be tested, which verifies the feasibility of the proposed loaded cross-finger MCSRR sensor. Therefore, this sensor is expected to be a cost-effective and convenient solution.
Research on overrun lag algorithm for ocean platform based on AMD control
Authors: Fu Hailong , Zhao Jiahui , Wang Yue , Liu Jiaqi , Zhou Yuyao
Published: June 2024

In the process of operation, conduit rack offshore platforms are often subject to the coupling effect of time-varying loads such as wind, waves and currents, which generates vibrations that have a serious impact on the safety of conduit rack offshore platforms and their equipment. Active control is currently an effective method for vibration control of offshore platforms; however, active control is subject to the influence of sensors, controllers, actuators and other links, resulting in different degrees of time lag in the vibration control system of offshore platforms. This chapter proposes an overshooting hysteresis control algorithm based on the AMD-LQG active control system, which inputs the error signal into the overshooting hysteresis controller, and pre-processes the error signal by adjusting the phase and amplitude of the signal to improve the stability of the system and increase the response speed. The research provides a new idea for the active control of conduit rack offshore platforms under complex excitation in the ocean.
Practical Exploration of the Concurrent Emphasis on Civics and Professionalism in the Teaching of Accounting Majors
Authors: Zeng Yinfang , Zhuang Zhipeng , Yan Jiapeng
Published: June 2024

Promoting the design of ideological and political curriculum and integrating ideological and political education into vocational education can help students establish ambitious ideals and correct values. Accounting, as a core discipline, is of great significance for the integration of ideological and political education.This paper analyzes and explains the necessity of integrating ideological and political elements in accounting education, discusses the design of integrating ideological and political elements in accounting education, and finally proposes how to provide guidelines for the teaching of accounting majors in colleges and universities.The purpose is to explore how accounting education can effectively combine theory and achieve an organic combination between ideological and political education and professional accounting teaching.
Review on Verifiable Outsourcing of Industrial Internet Data in Securely Shared
Authors: Wang Yafeng , Wu Qingtao
Published: June 2024

With the rapid development of information technology, industrial Internet has also entered a rapid development stage. As cloud servers have huge storage space as well as powerful computing power, more and more resource-constrained factories outsource their data to cloud servers for computation and storage to reduce the burden of data owners. Industrial data contains information about industrially produced products, and the high value of such information attracts attacks from illegal users, which may lead to data leakage. In addition, cloud servers are not fully trustworthy; therefore, it is important to ensure the security and correctness of industrial Internet data during outsourced computation and storage for the healthy development of the industrial Internet. In this paper, we explore technical solutions to guarantee the security and correctness of industrial Internet data when outsourcing computation, to achieve the privacy protection of industrial Internet data.
Digital blueprints for the urban future: a study on the transformation of urban planning with examples from China and Singapore
Authors: Xi Jingyi
Published: June 2024

Digital technology is one of the most important topics of research today. The rapid development of digital technology has caused major reforms in urban planning and other fields. This digital method is widely used in data collection and artificial intelligence, helping urban planners collect and analyze data more efficiently, thereby making the city operate and develop better. It also enhances citizen participation through online platforms and mobile applications, helping to build a more inclusive and sustainable city. This study mainly evaluates the impact of the combination of digitalization and urban planning, especially in terms of traffic management and public life. This article aims to explore how a combination of digitalization and urban planning can be used to create a more efficient, democratic, and sustainable urban environment. This study uses case analysis and systematic review methods to explore in depth the impact of digital technology and urban planning on urban traffic management and residents' lives. The research results show that a good combination of digital technology and urban planning transforms the efficiency of urban operations and the quality of life of residents, improves the sustainable development of the city, and enhances the efficiency and democracy of urban intelligence. This combination is expected to continue to affect the future development of the city and will bring more opportunities and challenges to urban planning.
Examining the Adaptation of the Fama-French Three-Factor and Five-Factor Models in the US Market
Authors: Guo Yifan , Yang Huiyi
Published: June 2024

The adaptability of the Fama-French three-factor and five-factor models in distinct markets is currently a key research topic. Some researchers are investigating whether the FF3FM and FF5FM are reasonable frameworks for explaining excess returns in stock markets by testing them with data from different markets. This paper mainly explores the adaptability of FF3FM and FF5FM in the US stock market, and adds CAPM to the comparison. This article uses the daily factors’ data and the daily average value weighted returns in 6 portfolios formed on size and book-to-market in the Kenneth French database website to construct a linear regression model to study the explanatory power of FF3FM and FF5FM in the US stock market. In order to determine whether these factors are parts of an effective asset pricing model, this paper assesses the efficacy, robustness, and reliability of factors in explaining asset returns using the Durbin-Watson test, the correlation matrix, and the sub-period analysis, which also confirm whether these factors have statistical significance, economic significance, and stability. It is found that the explanatory power of FF5FM is stronger than that of FF3FM in the US stock market. While both profitability and investment factors have relatively modest explanatory power, size and value factors offer significant explanatory power for stock returns.
Research Progress: Relationship Between Gut Microbiome and Mental Health
Authors: Yao Jiani
Published: June 2024

The relationship between the gut microbiome and mental health has received much attention recently. Recent studies have demonstrated a dual crosstalk relationship within the gut-brain axis (GBA), but some specific mechanisms of their relationship still need to be further explored. Based on recent GBA-related research, this article summarizes and analyzes the intricate connections within GBA and analyzes the potential of probiotic treatment for mental health (especially depression and anxiety). Through analysis, this paper found that a variety of indicators can be used to monitor the effectiveness of treatment processes, including questionnaires and DNA sequencing of stool samples. The clinical application of probiotics can also help relieve symptoms such as anxiety and insomnia, providing patients with a relatively safe treatment option. The conclusions of this article help to provide a reference for the research progress related to GBA and provide new ideas for further exploring the intrinsic mechanism of GBA.
Microbial Fuel Cell Technology and Its Research Progress
Authors: Zhang Mingyan
Published: June 2024

Microbial fuel cells (MFC) are bioelectrochemical systems that convert the chemical energy of organic compounds or renewable energy into electrical or bioelectrical energy through microbial-catalyzed reactions on the anode. The core principle of the technology is that microorganisms at the anode release electrons during the oxidation of the substrate, and electrons pass through the external circuit to the cathode, where they undergo a reduction reaction with oxygen, and finally combine with hydrogen ions to form water. Microorganisms play the role of electron transport medium, which realizes the efficient conversion of substrate energy to electric energy.As a green energy technology, it can generate electricity while relying on microorganisms to degrade organic pollutants in sewage. However, the high cost and low conversion efficiency limit the industrial applications of MFC. This paper briefly describes the reaction mechanism of microbial fuel cells and reviews the research progress on two important factors that influence the performance of MFC. Finally, the future development of MFC is anticipated to provide some references for related research.
University Transformational Leadership Implementation Affecting Teachers’ Performance in a Technology University in China
Authors: Liu Jia
Published: June 2024

This study explores the implementation of transformational leadership by school administrators and its multifaceted relationship with teacher performance as perceived by the teachers. The research assesses the profile of teacher respondents, their evaluation of transformational leadership practices, variations in assessments based on demographic factors, and their teaching performance according to recent evaluations. The study reveals that transformational leadership is moderately implemented by administrators, with inspirational motivation being the most frequently observed aspect (mean value of 3.33), while management-by-exception is the least observed (mean value of 2.66). Teachers' perceptions of leadership implementation did not significantly differ based on sex, age, educational attainment, or teaching experience. The majority of teachers demonstrated excellent (45.2%) to outstanding (38.2%) performance in recent evaluations. Although a very weak relationship was found between most aspects of transformational leadership and teacher performance, the study concludes that transformational leadership practices, excluding management-by-exception and intellectual stimulation, can positively influence teacher performance. Based on these findings, recommendations include promoting continuous learning, providing mentorship, acknowledging achievements, and fostering collaboration among teachers to enhance their professional growth and school effectiveness.