bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Talent Cultivation Mode of Physical Education Teacher Trainees under the Perspective of Competence
Authors: Gao Jia , Xiang Jun
Published: December 2024

Based on the competency perspective, this thesis comprehensively explores the issue of talent cultivation for physical education teacher trainees. By constructing a competency model, key competency characteristics are clarified, providing a clear goal for talent cultivation. The research found that there are challenges in the current cultivation system, while the successful cases verify the effectiveness and feasibility of the competency pathway. The analysis of main factors shows that subjective and objective factors jointly affect the quality of cultivation. Therefore, it is necessary to optimize the curriculum system, innovate the practice teaching mode, strengthen the teacher construction and reform the evaluation mechanism to form a new talent cultivation system that is student-centered and focuses on practice and innovation. In terms of implementation strategy, it is proposed to build a guarantee system from multi-dimensions such as policy environment, resource allocation, cooperation mechanism, continuous improvement, and students' self-development, aiming to form a multi-party collaborative nurturing mechanism to provide comprehensive and high-quality resources for physical education teacher trainees. This thesis argues that the training path under the competency perspective has significant advantages and is expected to build a more scientific, systematic and efficient talent training system, contributing to the development of China's sports industry.
The Effect of Motivation on the English Acquisition Level of Chinese College Students
Authors: Wang Baoying
Published: December 2024

With the trend of globalization, the demands for students' English proficiency are becoming increasing higher. This study explores the interactions between intrinsic and extrinsic motivations on English acquisition and their impacts on learning through the application of motivation theory and the analysis of questionnaire data. A series of suggestions are also proposed on how to integrate these two motivations for teaching. Results of the study indicate that intrinsic motivation plays a fundamental role in influencing students' English acquisition, while extrinsic motivation promotes learning motivation to a certain extent.
Language as a Tool of Resistance:Language Policy and Practice in the Postcolonial Period of South America
Authors: Ma Yifei
Published: December 2024

This paper explored how language policies and practices(LPP) has become the tool of resistance in the postcolonial period of time in South America countries.With the independence of South America, the old rules about statement faced new challenges. New rules were created to support indigenous languages and indigenous cultures, trying to counter the effects of colonial history and promote national identity. This paper looks up at the language policies used in some South American nations and explores how these programs attempt to change or increase the impact of  nations that have experienced colonial rule. The report shows how these language policies work and the problems they create, especially in areas like training and national publications. It also looks at how native language help people express themselves and avoid problems, particularly in marginalized communities. Finally, the paper discusses how these language policies affect geographical diversification and the many language spoken, especially in the context of globalization. This paper explified that language is not only a method for people to talk to each other, but also meaningful in creating social organizations and national brands.
Innovative Development of Informationization in University Management of Education in the Era of Big Data
Authors: Jiang Yunjie
Published: December 2024

In the context of the new era, the reform of the education system is imperative, and the informatization development of efficient management has become the focus of the reform of university management. Constrained by inherent thinking, the traditional university management of education model has been unable to meet the development needs of the big data era. Therefore, the management of education model of various universities has gradually innovated and developed in the direction of informatization. After a long period of practice, the current informatization construction of efficient management has achieved certain results, but because its innovative development is still in the exploration stage, its potential advantages have not been fully exerted. Therefore, the informatization of university management of education needs to be innovated. Combine the university teaching management system, flexibly apply big data technology for management informatization innovation, use the information system to carry out management of education work, improve the efficiency of management of education work, establish the correct development concept in line with the requirements of informatization development, further improve the level of management of education informatization development, and further promote the innovative development of university management of education in the era of big data.
Comparative Analysis and Outlook of Centralized, String, and Micro Photovoltaic Inverters in Power Generation Systems
Authors: Dong Mengyang , Wang Qi
Published: December 2024

With the rise of renewable energy, optimizing photovoltaic (PV) inverter topologies—centralized, string, and micro inverters—is crucial for enhancing solar power efficiency and reliability in modern power systems. This paper introduces the classification of photovoltaic inverters into centralized, string, and micro inverter. It also introduces the respective topologies and working principles, analyzes the efficiency of the three topologies in the power system, the centralized inverter is affected by natural and equipment factors, the device of string inverter is easy to lose, and affects the introduction of the Maximum Power Point Tracking (MPPT) algorithm of the micro-inverter, then briefly describes the advantages and disadvantages of the three topologies, and then leads to an optimization analysis of the three structures, and, finally, presents the challenges and opportunities that the PV inverter may face in the future in the application of the PV Finally, it introduces the challenges and opportunities that PV inverters may face in the application of PV power generation systems in the future, and makes a future outlook.
Impact of Wing Aspect Ratio on Aerodynamic Performance in Gliding Flight: A Comprehensive Review
Authors: Ding Zekun
Published: December 2024

The aspect ratio of a wing plays a critical role in determining the aerodynamic performance of gliding flight. As a key design parameter, the aspect ratio influences lift, drag, and overall efficiency, making it essential for optimizing flight characteristics. This review explores the theoretical foundations of aerodynamics, focusing on the interplay between lift, drag, and the glide angle, and highlights the significance of the lift-to-drag ratio as a measure of aerodynamic efficiency. A detailed examination of the role of aspect ratio reveals its impact on aerodynamic properties, supported by case studies illustrating variations in gliding performance with different aspect ratios. Despite the clear benefits of optimizing aspect ratio, there are challenges in balancing performance gains with design constraints, including structural limitations and environmental factors. Limitations in current research are also addressed, emphasizing the need for further exploration to enhance understanding and application in wing design. The review concludes by summarizing the key insights and underscoring the importance of aspect ratio considerations for future advancements in aviation technology, particularly in the context of gliding flight.
Research Advanced in Image Inpainting based on Deep Learning
Authors: Zhang Shengkun
Published: December 2024

Image inpainting has always been a hotspot in the computer vision community, which aims to restore damaged or missing parts of an image, ensuring that the restored image is physically reasonable, visually pleasing, and consistent in texture and structure with the original image. Early inpainting methods primarily depend on diverse image processing technologies, such as sample replication, partial differential equation solving, etc. As artificial intelligence rapidly progresses, image inpainting methods based on deep learning exploit robust feature extraction capabilities to extract useful information from vast amounts of data, contributing to more robust and natural inpainting effects, especially when dealing with complex and high-dimensional scenes. This paper provides a review of deep learning-based image inpainting technologies, categorized into four main types: autoencoders, generative adversarial networks (GANs), recurrent neural networks (RNNs), and convolutional neural networks (CNNs). It summarizes and analyzes the basic principles, advantages, disadvantages, and performance of these methods in image inpainting, as well as introduces commonly used datasets and quantitative evaluation metrics. Additionally, the paper discusses the principal challenges currently faced in this domain and provides insights into future research directions for deep learning-based image inpainting.
The relationship between Zhang Ruitu's calligraphy and social trend of thought in late Ming Dynasty
Authors: Shen Jie
Published: December 2024

The purpose of this paper is to explore the mutual influence and internal relationship between Zhang Ruitu's calligraphy style and the social trend of thought in the late Ming Dynasty. The late Ming Dynasty was an important transition stage in Chinese history, with profound changes in social structure and cultural trends, which not only reflected in the political and economic level, but also profoundly affected the cultural and artistic fields. As an outstanding calligrapher in this period, Zhang Ruitu's calligraphy art not only reflects his personal artistic pursuit, but also reflects the unique features of the late Ming society. This paper first summarizes the social and cultural background of the late Ming Dynasty and its main schools of thought, and then introduces Zhang Ruitu's artistic career and his achievements in calligraphy. Through a detailed analysis of his calligraphy style, the author reveals the personal expression and social values contained in Zhang Ruitu's calligraphy. Then, the paper deeply discusses how the social trend of thought in the late Ming Dynasty can be reflected in his calligraphy, and analyzes the feedback effect of Zhang Ruitu's calligraphy works on the social change at that time. Finally, this paper summarizes the interaction between Zhang Ruitu's calligraphy and the social trend of thought in the late Ming Dynasty, and evaluates the historical status of his calligraphy art. It is hoped that the study of Zhang Ruitu's calligraphy will provide a new perspective for understanding the cultural phenomena in the late Ming Dynasty.
Historical Cultural Interactions Between East and Inner Asia: The Manchurian Tenggeri, Japanese Shamisen, Tuvan Doshpuluur, And Chinese Sanxian
Authors: Zang Yimin
Published: December 2024

During the development of modern East Asian music, existing research on the Manchurian tenggeri has remained superficial, with few studies comparing it with other Asian three-stringed instruments. This paper primarily outlines the similarities and differences between the tenggeri and three other instruments, while also discussing their historical context and geopolitical relations. It first briefly describes the appearance and techniques of the four instruments. It then compares and discusses the relationships between the four instruments. Lastly, the paper outlines the geopolitical context and cultural flow in their historical backgrounds. The paper points out that in the historical development of East Asia and Inner Asia, there are population, linguistic, and cultural links or kinships, with musical instruments and culture being transmitted and inherited across different regimes. Finally, the paper concludes with the connections between the Manchurian tenggeri, the Japanese shamisen, and the Chinese sanxian, bringing the tenggeri back to the public view.
The Social and Psychological Challenges Faced by The Graduate Group in Shenzhen
Authors: Zhuang Airong
Published: December 2024

Shenzhen is one of the metropolises with highest economy growth and people are often attracted by such cities as there would be more opportunities. Also, in order to appeal and recruit talents, Shenzhen government has implemented several polices which favor them to migrate settle down. There are three major types of labors: undergraduate students, migrant workers and workers from talent programs. In this paper, undergraduate students will be the focus. Undergraduate students are facing with severe unemployment problem. The insufficient market demand and changing demand are the main reasons for difficulties of employment for undergraduate students. On top of that, there are many other factors, such as weak global economic growth, China’s low economic growth rate, slow adjustment and upgrading of China’s industrial structures, to name just a few, have challenged the employment of graduates. This paper will discuss about undergraduate students’ psychological and social dilemmas as well as analyze the general social problems.
Research on the Teaching Practice of "Red Song" in High School Music Classroom
Authors: Ge Yaxuan
Published: December 2024

Under the current trend of education, the importance of music is constantly highlighted. After the implementation of the "Double Reduction" policy, the status of music courses in primary and secondary schools will only increase in the future. If we want to implement the teaching of red songs in schools and give full play to the role of red song teaching, we need teachers not only to have strong red thoughts, but also to have good teaching ability. The Music Curriculum Standards have been promulgated and implemented for many years. Most music teachers in primary and secondary schools only teach according to the standards, following the requirements on the surface, and the curriculum design is often boxed, ignoring the richness and interactivity of the music curriculum content. Among them, the teaching mode of the red song section is often too rigid, resulting in the curriculum objectives cannot be well accomplished, and the students' impression of the red song only stays on the surface of "having heard" and "having learnt". If the teaching design of red songs in high school music class pays attention to and thinks about, upgrading the teaching effect, not only can broaden the students' musical horizons, at the same time, it can enrich their patriotic feelings, and it can stimulate the students' national pride, which is quite useful. This paper adopts the method of analyzing lesson examples to find out the unique advantages in the lesson examples, and re-design the curriculum to put forward some of my meagre teaching suggestions for the majority of high school music teachers, so that the teaching practice of red songs can deepen the development.
Driving Factors and Challenges of The China-Japan-Korea Free Trade Area: China’s Perspective
Authors: Sun Yunjiang
Published: December 2024

As early as 2002, the leaders of China, Japan and South Korea proposed the idea of establishing a China-Japan-Korea Free Trade Area (CJK FTA), and negotiations began in 2013. However, a series of frictions among the three countries subsequently occurred. Continuously slowing down the progress of free trade area negotiations. When the leaders of the three countries met in May 2024, they once again raised the hope of establishing a free trade area. The initiative that has lasted for more than 20 years has yet to be realized. This paper analyzes the internal motivations for China’s proposal to establish a free trade area and the reasons for its continued failure to realize the plan. It further explores the role of economic and political factors in this process and proposes suggestions on this basis to continue to promote the construction of the China-Japan-Korea Free Trade Area, aiming to further deepen cooperation in East Asia and enhance the overall strength level of the region.
Research on the Use of Intangible Cultural Heritage (ICH) Music in Primary and Secondary School Music Education in the Era of Artificial Intelligence
Authors: Zeng Qiongjuan , Zhang Min
Published: December 2024

Recently, the General Office of the Ministry of Education issued the Notice on Strengthening Artificial Intelligence Education in Primary and Secondary Schools, which will basically popularize artificial intelligence education in primary and secondary schools before 2030. Nowadays, in the era of artificial intelligence, how to intelligently integrate intangible cultural heritage (ICH) music into primary and secondary school music education, this paper elaborates in detail from building digital curriculum system, exploring intelligent teaching methods, and applying scientific teaching evaluation, and puts forward practical reform paths to better promote the reform and development of primary and secondary school music curriculum teaching in the era of artificial intelligence, and to cultivate students with high aesthetic literacy and innovation ability that meets the needs of the times.
A Review of Triboelectric Nanogenerators in Wind Energy Harvesting and Environmental Monitoring
Authors: Di Chenyun , Yin Jie
Published: December 2024

With the growing demand for renewable energy and the development of portable electronic devices, there is an increasing need for self-powered systems. This paper reviews recent advancements in wind energy harvesting and environmental monitoring, with a particular focus on triboelectric nanogenerators (TENGs). TENG technology efficiently converts wind energy into electrical energy through the coupling of triboelectric effects and electrostatic induction, offering advantages such as simplicity, low cost, and high efficiency. The paper details the fundamental working principles of TENGs, their various operational modes, and the design of hybrid electromagnetic generators (TENG-EMG) that integrate TENGs with electromagnetic generators. It also discusses innovative devices such as the calliopsis biomimetic triboelectric nanogenerator (C-TENG), the polymer wind bead rolling triboelectric nanogenerator (WB-TENG), and the self-sustaining wind speed sensor system (SSWSSS). These devices not only enhance the efficiency of wind energy harvesting but also broaden the scope of wind speed and direction monitoring. Finally, the paper explores future research directions for TENG technology, including multifunctional integration, material innovation, intelligent management, and environmental impact assessment, aiming to further advance sustainable energy and environmental monitoring.
Research Progress on the Anti-Breast Cancer Effect and Mechanism of Oxymatrine
Authors: Xie Tang , Tian Shuanglin , Shi Mengting , Ma Guanhua , Du Yaming , Yang Xiulan
Published: December 2024

Oxymatrine (OMT), an alkaloid derived from Sophora flavescens, possesses a diverse array of pharmacological activities, encompassing anti-inflammatory, antiviral, antitumor, and immune regulatory properties. In recent times, significant strides have been made in investigating the efficacy of OMT against breast cancer. OMT exerts its anticancer influence through various mechanisms, including inhibition of tumor cell proliferation, suppression of tumor cell invasion and migration, induction of tumor cell apoptosis, and disruption of the cell cycle. This article systematically reviews the underlying mechanisms of OMT in breast cancer therapy by conducting a comprehensive search across multiple databases, such as CNKI, Wanfang, and PubMed, utilizing keywords like "OMT," "breast cancer," "pharmacology," and "pharmacokinetics," as well as incorporating both Chinese and English terms for "OMT," "triple-negative breast cancer," and "breast cancer." The objective is to delve into the potential applications of OMT in breast cancer treatment and furnish a valuable reference for future clinical investigations exploring the utilization of OMT in this field.
Comparative Analysis of the Photovoltaic Industry in China and the US: Policy, Innovation, and Market Competitiveness
Authors: Chen Zihan , Chen Zihan , Song Bo , Yan Jiachen
Published: December 2024

The photovoltaic (PV) industries of China and the United States have evolved in distinctively different ways, driven by vastly contrasting government policies, technological innovations, and market dynamics. Over the period from 2015 to 2024, the Global Price of Energy Index witnessed a significant surge of 42%, bringing the urgency for viable renewable energy solutions to the forefront. China's PV industry, underpinned by robust government support and substantial investments, has soared to global prominence through its large-scale manufacturing capabilities and efficient production processes. In stark contrast, the U.S. PV industry places a greater emphasis on pioneering technological advancements in advanced PV technologies, yet it still relies heavily on imports to meet domestic demand. By analyzing data sourced from the International Energy Agency and industry-specific reports, this comparative analysis illuminates how these fundamental differences will mold the future competitiveness of both nations within the PV sector and profoundly influence the trajectory of the global energy transition.
The Impact of Teacher Feedback on Student Interaction Based on A Case Study in China
Authors: Pan Yuhui
Published: December 2024

Teacher feedback plays a significant role in English teaching. Effective teacher feedback can not only enhance students' enthusiasm and motivation for learning but also improve their language skills and ability to think critically. This study analyzes data from classroom observations of the four teachers and their four English classes, attempting to explore the impact of teacher feedback on student interaction. A few instances of the usage of teacher feedback in Chinese college English classrooms are compiled in this study. The author suggests that teachers employ feedback language in the following three ways, based on the findings of the research: First and foremost, educators need to be aware of how much language is used in feedback. Second, educators should work to raise their own standards and employ a variety of feedback language in a flexible manner. Thirdly, input from teachers ought to be varied and not overly straightforward. In the future, incorporating these strategies into pedagogical practice may completely transform English instruction in Chinese universities, creating a more engaging and dynamic learning environment that not only gets students ready for success in the classroom but also gives them the critical thinking abilities they need to thrive in the increasingly interconnected world.
Principle and optimization analysis of electromagnetic devices for MRI
Authors: Yu Yue
Published: December 2024

Currently, with the significant increase in global health awareness, people are paying more attention to various aspects of their health, thereby driving the demand for various types of medical devices. As an important medical diagnostic tool, Magnetic Resonance Imaging (MRI) has become more widely used in disease diagnosis. This paper primarily explores the basic working principles of MRI, its optimized design, and the challenges and prospects for its future development. First, the paper introduces the basic working principles of MRI’s electromagnetic apparatus, explaining the structure and functions of its five main components: the main magnet, gradient coils, radio frequency system, computer system, and magnet room, as well as how electromagnetic signals are used for imaging. Secondly, the article discusses the optimization of MRI in terms of structure, materials, and algorithms, aiming to improve the uniformity of magnetic field distribution, the accuracy of signal processing, and overall image quality. Finally, the paper analyzes the challenges facing the future development of MRI, such as high costs, complex equipment structures, and limited algorithmic technologies, and it looks ahead to the potential for achieving more efficient and broader applications through technological advancements.
Wagner's Musical Thought and Practice:Exemplified by Tristan and Isolde
Authors: Sun Linzi
Published: December 2024

The studies on  are very heterogeneous, and most of the articles discussing its relationship with Schopenhauer's philosophy discuss Wagner's connection with Schopenhauer in the time and circumstances of his life or writing. This paper makes more use of the music itself composed by Wagner as material for analysis, taking  as an example, this article introduces the philosophical ideas implicit in  and discusses Wagner's philosophical reflections in the light of Schopenhauer's philosophy and its influence on Wagner. The specific use of versmelodie in  is also analyzed to explore the origin and influence of Wagner's gesamtkunst ideas. This paper using music and textual analysis as the main methods, in order to distinguishes between Wagner's self-expressed ideas in his writings and those embodied in his musical compositions, attempts to explore Wagner's underlying expressive intentions and the reasons for the enduring popularity of Tristan and Isolde.
Analysis of Off-school Education Issues for Secondary School Students and Suggestions for Countermeasures in China
Authors: Liu Danzhao , Otchengco Fernandina Penecilla
Published: December 2024

Behind the prosperity of off-school education for secondary school students in China, there are many chaos, resulting in the severe situation of "reducing the burden within the school and increasing the burden outside the school", seriously disrupting and impacting the order of quality education in secondary schools. It is necessary to analyze the current situation and problems of off-school education for secondary school students, explore ways and measures to solve the chaos of off-school education, and truly reduce the excessive learning burden of secondary school students. The main work of this article is as follows: (1) Discuss the connotation and content of off-school education; (2) Clarify the multifaceted influencing factors of China's off-school education issues; (3) Develop countermeasures to address issues related to off-school education.
Exploration of Principles of Energy Conversion Course Teaching Based on VR Technology
Authors: Chen Hao , Jin Wanchun
Published: December 2024

"Principles of Energy Conversion" is a core course for the Energy and Environmental Systems Engineering major, characterized by its strong professionalism and the complexity of the equipment structures involved, making it difficult for students to observe the overall structure of boilers and turbines on-site. This paper explores the integration of virtual reality (VR) technology into the course by introducing a VR-based teaching reform plan, which includes four parts: VR scene tours of power plants, basic principle teaching, interactive structural design, and summary and evaluation. This teaching design meets the requirements of both principle learning and course design for students, enhancing their learning experience and level of understanding.
Deep Learning's Current and Future Applications in Predicting Vehicle Traffic Flow
Authors: Hu Yiyang , He Zhaohang , Jiang Huayu
Published: December 2024

With the acceleration of urbanization and the continuous growth of traffic flow, accurate prediction of highway traffic flow has become a key demand for optimizing traffic management and alleviating congestion. Traditional prediction methods are often inefficient in dealing with complex traffic patterns, while deep learning technology brings new solutions for traffic flow prediction with its powerful feature learning and pattern recognition capabilities. This paper reviews deep learning applications' current state and future trends in highway traffic flow prediction. It introduces deep learning technology and its advantages in traffic flow prediction. The paper then analyzes the specific applications of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and their variants in data processing, feature extraction, and prediction performance. The challenges currently faced, such as data preprocessing and the capture of long-term dependencies, are also discussed, along with proposed solutions. Finally, the paper looks forward to the future development of deep learning in the field of traffic flow prediction, highlighting its importance in improving traffic management efficiency.
Research on the Framework Construction of the Evaluation System of Primary School Music Singing Class
Authors: Hu Wenya
Published: December 2024

This paper explores the insufficient application of student-centred theory in the assessment of music classroom teaching in the context of modern education. Although students occupy the main position in teaching, the assessment of music subjects often focuses on teacher teaching and neglects the assessment of students' learning process. The article points out that traditional assessment methods rely too much on quantitative management and fail to fully take into account the specificity of the music discipline and the individual differences of students, resulting in a narrowing of the teaching content and neglecting important aspects such as music appreciation and expressiveness. The article suggests that with the promulgation of the Art Curriculum Standards for Compulsory Education (2022 edition), the importance of teaching evaluation has been emphasized, and the author argues that it is necessary to construct a scientific and reasonable evaluation system for music singing lessons in order to ensure that the assessment process is systematic and scientific. The article describes in detail the process of constructing the evaluation system framework for music singing lessons, including determining the content of the measurement, the primary indicators and the secondary indicators. The framework of the evaluation system is based on the "Curriculum Standards" and the "Human Voice Edition" music textbook, and is designed to accurately reflect students' learning outcomes in terms of expressiveness in the music singing class, and to be consistent with the teaching objectives and curriculum requirements.
The Causes and Effects of the “Pink Tax” Issue in China
Authors: Cao Tsz Ngai
Published: December 2024

This paper investigates the root reasons behind the “pink tax” issue in China from the perspective of economics and psychology. In recent years, consumers in China became paying attention to this issue due to the rise of the gender awareness in the younger generation. Because of that, social medial influencers, researchers, and journalists started investigating this issue as well. Therefore, discussing the causes and the effects of the “pink tax” has meaningful values for not only the consumers but also the enterprises and government. By integrating the existing research and case studies of the female products and services that are charged higher prices, the study underscores the gender stereotypical phenomenon that women suffer and the imperativeness to work out practical solutions from different entities – the government policymakers, the business organizations, and individuals – to tackle the economic disparities and advocate gender equality and inclusive development of the consumer goods industry in China.
Application of Fresnel Zone Model in Wireless Sensing Field
Authors: Han Jixing
Published: December 2024

As a common model in the field of wireless sensing, the Fresnel zone model performs better than traditional deep learning in generalization ability, computational efficiency, robustness, and so on. It shows significant advantages in breath monitoring, gesture recognition, indoor behavior recognition, and so on. In this paper, the typical applications of the Fresnel band model in fine and coarse-grained wireless sensing tasks in recent ten years are listed. With the progress of the research, the concentric circle model, dynamic Fresnel region model, and through-wall wireless sensing model are developed in combination with other methods, which can well solve the wireless perception problem in non-line-of-sight scenes. Or combined with deep learning to develop new ways to solve specific problems. Over the course of development, the emergence of new methods makes the wireless perception scene more complex, Respiratory monitoring can be changed from one-person monitoring to multi-person detection, and the accuracy of gesture recognition and indoor behavior recognition is getting higher and higher.
Inspection Path Planning of Mobile Communication Base Stations Based on Automatic UAV Nest
Authors: Wu Haotian
Published: December 2024

With the development of 5G mobile networks, the number of mobile communication base stations in China has increased rapidly, and regular inspection and maintenance are required. Traditional manual inspection has some shortcomings and limitations. In recent years, the development of drones and drone nest technology has made drone inspection feasible. Since the automation level of traditional manually controlled drone inspection is low, this paper proposes a base station inspection scheme based on drone nests. By establishing an inspection model and using the simulated annealing algorithm to solve the TSP problem, the drone inspection path is planned to improve the inspection efficiency and the unmanned and automated inspection level. In this paper, the simulation experimental results show that the algorithm can effectively obtain the global optimal solution in a relatively short time, realize the path planning of drone automatic inspection of base stations, and effectively improve the inspection efficiency of drones.
Research Advanced in Human Pose Estimation based on Deep Learning
Authors: Hou Yilin , Li Jiayu , Liao Shuli , Xue Ningyuan
Published: December 2024

Human pose estimation constitutes a crucial task within the realm of computer vision. Its objective is to precisely identify and locate the main features of the human body as shown in images or videos, thereby enabling the understanding and analysis of human behavior. In the early stages, pose estimation efforts predominantly focused on single-person scenes, relying mainly on template matching, direct regression, and detection methods. Thanks to the rapid progress of deep learning technologies, research on human pose estimation has evolved from single-person scenarios to complex multi-person ones. Multi-person pose estimation can be separated into top-down and bottom-up approaches. The top-down method initially detects the human body and then conducts pose estimation. Although relatively straightforward to implement, it has limitations when dealing with multi-person scenes and occlusion situations. In contrast, the bottom-up method first detects main features and then assigns them to different individuals, proving more effective in handling occlusion and multi-person scenes. Considering the above factors, this paper undertakes a comprehensive and in-depth study on human pose estimation based on deep learning, covering multiple aspects such as single-person pose estimation, multi-person pose estimation, datasets, evaluation metrics, algorithms, and experimental methods. Additionally, it discusses the existing problems and future development directions from perspectives including improving the model architecture, optimizing data processing, and integrating multi-modal information. Moreover, recent advancements in deep learning architectures, including convolutional neural networks and recurrent neural networks, have further enhanced the performance and accuracy of human pose estimation. The combination of different modalities, such as depth information and infrared imaging, also holds promise for addressing some of the challenges in complex scenes.
Report on English Test Design
Authors: Shao Linzhi
Published: December 2024

This report outlines the design of an English proficiency test aimed at assessing the intermediate English skills of international adult students at the University Preparation College (UPC), Sydney City Campus. The test measures four key language skills: listening, reading, writing, and speaking. Each skill is evaluated through carefully constructed test components to determine the learners' language competence and readiness for university studies in Sydney. The report also discusses the theoretical underpinnings of test validity and reliability, as well as the positive educational impacts of such tests. The rationale behind the test design, including the choice of tasks and their alignment with real-life communication needs, is thoroughly elaborated, providing insights into the purpose and methodology of English proficiency testing.
Corporate Innovation Management from the Perspective of Management Science and Engineering
Authors: Xu Hai
Published: December 2024

This paper is centred on corporate innovation management from the perspective of management science and engineering. It describes its origin and development, and its wide application in internal and external management, service industry and innovation and entrepreneurship. Enterprise innovation management is flexible, risky, long-term and complex, and includes various types and modes such as autonomous and integrated. Management science and engineering promote innovation by providing data and models through decision support systems, analysing data to explore needs, and coordinating resources through project management methods. However, it is currently facing challenges such as technological change, talent shortage, and poor cultural climate. The future is digital intelligence, green sustainability, interdisciplinary research and application trends, enterprises need to respond to the challenges, grasp the trend to improve the level of innovation management, sustainable development and competitiveness, to adapt to the complex and changing market environment, innovation-driven to create economic and social value, and to lead the industry in a new direction of development.
Laser Power Transfer and Conversation Efficiency Optimization Scheme
Authors: Liu Luoning
Published: December 2024

In recent years, wireless charging technology has developed rapidly, providing many conveniences for people's lives. However, the demand for long-distance wireless charging, such as drones and satellites, is still unsatisfied. This article will introduce the laser power transfer technology, which can meet the needs of long-distance charging, introduce its principle, and compare it with traditional wireless charging methods. At the same time, three current photoelectric conversion efficiency optimization schemes of this technology will be introduced: modified PV receiver geometries, MPPT techniques, and secondary concentrator. Due to the use of special instruments, modified PV receiver geometries and the secondary concentrating method are expensive and difficult to have universality. Still, they are currently in the early stage of development and have great potential. The MPPT techniques have long been used in many photovoltaic fields and have perfect technology, but they cannot work normally under special circumstances, so they still need to be improved.
Analysis of University English Teachers' Willingness to Use Artificial Intelligence and Its Influencing Factors: Based on Grounded Theory
Authors: Zhong Xiwen
Published: December 2024

With the rapid development of artificial intelligence (AI) technology, its application in the education field is becoming increasingly widespread. This study aims to analyze university English teachers' willingness to use AI and its influencing factors. By exploring university English teachers' willingness to use AI through the qualitative research method of grounded theory, we analyze the underlying influencing factors. The analysis reveals that university English teachers' willingness to use AI tools is influenced by risk perception, external factors, and personal factors. Risk perception includes perceived technological anxiety, information quality perception, self-risk perception, and information security perception, which are negatively correlated with teachers' willingness to use AI; external factors include school training, AI development trends, and community influence, which indirectly affect teachers' willingness to use AI; while personal factors, including risk concerns, personal biases, and individual abilities, have a decisive impact on their willingness to use AI in the classroom.
Research on the Application of Fiber Art Micro-expansion General Education Course in Universities from the Perspective of Cultural Creativity
Authors: Wang Xiaojing
Published: December 2024

Fiber materials are closely related to daily life, and soft materials have spatial extension of plastic characteristics and very artistic and humanistic emotional expression. The cultivation method of art general education in universities, with the continuous deepening of the concept of aesthetic education, the exploration of the innovation node advances with the times. This paper takes the characteristics of cultural creativity, connects the diversified cross-border integration, combines the micro expansion of higher education general education course, and analyzes the practice and expansion of fiber art teaching mode.
Application of Fluid Dynamics in the Formula One car: Exploring automobile air drag force and model design principles
Authors: Yi Wenyu
Published: December 2024

Formula one racing is one of the best sporting events in the world, in addition to the driver’s driving skills, the performance of the vehicle also plays an important role in this race. The application of fluid mechanics and aerodynamics in vehicles has greatly improved vehicle performance, maneuverability and stability, it can reduce the effect of air drag force on the vehicle and convert the air drag force into a force that is beneficial to the vehicle. To achieve this, it must be started with the design of the vehicle itself. This article will start from the basic application theory of fluid mechanics and aerodynamics in vehicles, and the composition of aerodynamics components, make a model based on the 2018 Formula one car as a reference, and then use CFD (Computational Fluid Dynamics) software Ansys workbench to conduct simulation verification and analysis. Looking to the future from now on and drawing conclusions.
Research on the Collaborative Education of Ideological and Political Theory Courses in Chinese Private Universities
Authors: Jiao Yusheng
Published: December 2024

In the context of education in the new era, the development of Chinese private universities has been attracting ever-increasing attention. As the core courses for cultivating students' moral character and values in colleges and universities, the collaborative education efficacy of ideological and political theory courses holds significant sway over the quality of talent cultivation in private universities. This paper endeavors to conduct an in-depth exploration into the current status, challenges, and optimization pathways of the collaborative education of ideological and political theory courses in Chinese private universities. Through comprehensive analysis, it is revealed that there exist a multitude of issues in the collaborative education of ideological and political theory courses in private universities, such as feeble collaborative awareness, sluggish platform construction, and defective institutional mechanisms. In light of these problems, corresponding optimization strategies have been formulated, which encompass enhancing the awareness of collaborative education, constructing diverse collaborative education platforms, and refining the institutional mechanisms of collaborative education, with the anticipation of furnishing valuable references for private universities to elevate the level of collaborative education of ideological and political theory courses.
Expoloring the Difficulties Native Mandarin and Arabic speakers Facing when Learning English
Authors: Wu Zonghao
Published: December 2024

This paper presents a comparative analysis of Mandarin, Arabic and English in the phonological part. The study focuses on the challenges and difficulties faced by L1 Mandarin and Arabic speakers in acquiring English pronunciation. Chinese is tone-based, and Arabic has a simpler vowel system; in contrast, English, a Germanic language, uses a complicated inventory of vowels and consonants, elaborate syllabic structures, and prominence-related stress patterns. The study looks at how the Arabic vowel and consonant inventory and the Pinyin system, a Chinese phonetic transcription tool, affect phonetic transfer problems when learning English. The study aims to help native Mandarin and Arabic speakers have a better understanding of the difference among different languages which would help them overcome the challenges and achieve more native-like fluency in English speaking.
Design and Simulation of a Fuzzy PID Control System for Building Climate
Authors: Zhang Wanze
Published: December 2024

This article discusses that climate control systems are important to maintain comfortable temperatures and clean, and efficient structures in the modern world. An effective system for climate control of buildings including responses in real time is highly beneficial for human comfort and the reliability of equipment. Nevertheless, conventional proportional-integral-derivative (PID) control systems may experience difficulties in addressing the non-linear processes and changing conditions of properties, as a result of which they deliver quite a low level of performance. Thus, this research work presents an adaptation of the conventional control scheme known as the PID model as the Fuzzy PID. The Fuzzy PID system was developed and analyzed through simulation to determine its performance solution in comparison to conventional PID control. The results further reveal that the proposed Fuzzy PID controller enhances the response time, stability, and accuracy by bringing down by about 15% the overshoot and by about 20% the settling time as compared to the basic PID controller. To the existing field of control methodologies in building climate systems, this research helps extend the progress towards better control systems that can bring about improvements in energy consumption and occupant comfort in multiple uses.
Research Advanced in Pedestrian Re-identification based on Deep Learning
Authors: Ren Shibo
Published: December 2024

Pedestrian re-identification (re-ID) is always a research hotspot in the intelligent video surveillance community, which has been applied in various fields such as social security and criminal investigation. Though much effort has been devoted to boosting the accuracy and speed, person re-ID still faces numerous challenges and difficulties, including low-quality captured images, inconsistent camera angles, varied pedestrian postures, significant changes in background environments, and issues related to lighting and occlusion. This paper aims to summarize the recent studies of pedestrian re-ID to motivate the subsequent development. Specifically, this paper focuses on the technological development, application needs, and challenges of person re-ID from the aspects of occluded pedestrian re-ID, unsupervised person re-ID, virtual data generation, pose-aware person re-ID, and pedestrian search. It also identifies existing problems and offers a perspective on the future trends. The hope is that through the study of these methods, an understanding of the current development directions in person re-ID can be achieved and researchers can be provided with a reference.