bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Mechanism and Path of Science and Technology Finance to Support the High-quality Development of Private Enterprises
Authors: Yu Le , Sun Yu , Hao Wen , Tai Yaping , Qian Junjie
Published: June 2024

With the rapid progress of science and technology in China and the transformation and upgrading of the national economy, science and technology finance is gradually showing its role in helping the high-quality development of private enterprises. This paper takes science and technology finance as the supporting force and private enterprises as the research object, and explores the effective support for the high-quality development of private enterprises from three aspects: mechanism, path and policy, and then proposes a high-quality development model of private enterprises. By using random forest algorithm to test the effect, the feasibility and scientificity of the development model are qualitatively and quantitatively analyzed. The research shows that through the effective support of science and technology finance, the high-quality development model of private enterprises has great development potential, so that private enterprises can better cope with market challenges and enhance their competitiveness.
Comparative Analysis of Machine Learning and Deep Learning in Practical Scenarios
Authors: Ran Guoxiang
Published: June 2024

With the emergence of ChatGPT, machine learning (ML) and deep learning (DL) technology have gradually attracted people's attention, and these two technologies have already penetrated People's Daily life unconsciously. However, the application of these two technologies in various industries is still in the development stage, and choosing an inappropriate technology in different scenarios will lead to problems such as a waste of resources. The purpose of this article is to introduce the basic concepts, principles, and common algorithms of these two technologies, and by comparing the results of different technologies in the same scene, this article will compare and analyze the advantages and disadvantages of ML and DL in feature generation, model complexity, data scale, etc. Finally, the different application scenarios of the two technologies are obtained. ML is better for situations where there is less data and the problem is relatively simple, while DL performs better for tasks that deal with large and complex data and require hierarchical feature representation. This article hopes to inspire problem-solving in this subject area.
The Relationship between Corporate Social Responsibility and Financial Performance
Authors: Li Jiatai , Xu Xiangyi
Published: June 2024

With the rise of sustainable development, Environmental, Social, and Governance (ESG) factors have become crucial for evaluating corporate social responsibility. This research therefore examines the relationship between CSR and company financial outcomes using statistical regression analysis. Strong evidence is noted that the relationship of financial outcomes with Corporate Social Responsibility (CSR) activity postulates a positive relationship amid CSR's shareholder accountability and both the comprehensive CSR index and corporate performance. These findings point out that integration of ESG criteria in investment decisions is important because they provide insight that a company is bound to sustain and meet up with its resistance in the long run. Further, research has outpointed the significance of corporate governance directing CSR efforts towards infusing business with transparency and responsibility. Focusing on sustainability and social responsibility enhances the way a company is perceived, attracts investment, and helps to mitigate risks linked with the environment and society. These are the main observations that underline the importance of public awareness and the necessity for organizations to develop future-oriented CSR approaches that would positively feed into a more sensitive corporate environment and sustainable economic development.
Pore Structure of Coal Samples from Chengzhuang No. 3 Coal Seam by High-pressure Mercury Testing
Authors: Chen Zenan
Published: June 2024

Matrix pores in coal reservoirs are important storage sites for adsorbed and free state CBM, and their adsorption amount is closely related to the development of pores and pore structure characteristics in coal. In this paper, the pore structure characteristics of coal and its influence on adsorption performance were studied by using the high-pressure mercuric pressure method with coal samples from No. 3 coal seam of Chengzhuang Mine as the research object. The results show that: the degree of openness of the pores of the coal samples in the study area is small, most of the pores in the coal are semi-closed pores, and the pore connectivity is poor; in the coal samples in the study area, the mesopores and macropores with a diameter larger than 100 nm are less developed, and the micropores and micropores with a diameter of less than 100 nm are developed; the pore volume of the coal samples of the No. 3 coal seam in the study area ranges from 0.0127 to 0.0168 cm3/g, with an average volume of 0.0144 cm3/g, and the pore volume content of each pore size of the samples was microporous>small pore>massive pore>medium pore; the specific surface area of the coal samples from the No. 3 coal seam in the study area ranged from 5.2259 to 6.4032 m2/g, with an average of 5.8816 m2/g, and the micropores and small pores provided a large amount of specific surface area for pores, which provided large space for the reservoir of CBM, and was favorable for the adsorption of methane gas by the pores of the coal. The above research results are intended to provide a theoretical basis for the exploitation and production of CBM in the study area.
Feasibility Analysis of Higher Education Popularization for Chinese Special Education Groups---Taking Physically Disabled Students as an Example
Authors: Zhao Fanting
Published: June 2024

Based on the analysis of the current situation of special education for people with disabilities in China, it is found that the compulsory education popularization of the Chinese special education group is relatively high, but the higher education popularization for people with disabilities needs to be improved. Improving the popularization of higher education for special groups can improve China's educational environment and also maintain social harmony. This article mainly analyzes the feasibility of popularizing higher education for special education groups in China. The study found that China is paying more attention to vocational education for special education groups, aiming to equip them with skills and serve society. However, at present, insufficient attention is paid to education at the higher education level, and there is a lack of relevant policy guarantees. Therefore, it is recommended that government departments should formulate clear and comprehensive regulations and policies to ensure the equal rights and interests of disabled students in higher education. At the same time, it is also necessary to increase investment in funds, improve the construction of basic education facilities in universities, and provide auxiliary facilities for students with physical disabilities. The training of university teachers should be strengthened, and more attention should be paid to the overall development of disabled students. Psychological education, quality education, and curriculum teaching should all be strengthened.
The Impact of Cross-Border Interconnectivity on the International Relations Landscape and Response Strategies
Authors: Li Chenyang
Published: June 2024

With the continuous acceleration of globalization and rapid technological development, cross-border interconnectivity has become an important force shaping the current international relations landscape. This work delves into the influence of cross-border interconnectivity on the construction of new international relations and analyzes in detail its practices and developments in China's relations with neighboring countries. The findings reveal that cross-border interconnectivity not only promotes the strengthening of economic, political, and cultural ties among countries but also drives the diversified and inclusive development of new international relations. However, it is also necessary to confront the numerous challenges posed by cross-border interconnectivity, such as constraints from major powers and cross-border security risks. In order to address these challenges, this work proposes a series of recommendations. First, strengthen political dialogue between countries and enhance trust in China among neighboring countries through open and transparent cooperation mechanisms. Moreover, deepen regional security cooperation, jointly address cross-border security risks, and maintain regional peace and stability. Additionally, make efforts to enhance the governance capacity of neighboring countries to better adapt to the cooperation needs of cross-border interconnectivity. These recommendations not only provide practical guidance for addressing the complexity brought by cross-border interconnectivity but also substantially contribute to promoting global cooperative relations. This work provides an important contribution to the academic community by comprehensively analyzing the multifaceted impact of cross-border interconnectivity on international relations. Simultaneously, this work offers valuable insights for decision-makers and scholars by delving into the practical experiences and challenges faced by China in its interactions with neighboring countries.
Design of Intelligent Home Lighting System Based on Digital Twin Technology
Authors: Peng Zhuoyang
Published: June 2024

This article proposes an innovative design concept for lighting systems using digital twin technology. The proposed system utilizes digital twins to construct virtual models and rapidly develop and improve lighting solutions in simulated environments. In addition, digital twin technology can monitor and predict the operational status of analysis systems in real time, thereby improving reliability and security. This article provides an overview of the architecture design of a digital twin lighting system, detailing the design of each module, and providing insights into the experimental results of optimizing system performance. The experimental results clearly emphasize the significant improvement in efficiency and overall performance of smart homes through the application of digital twin technology in lighting systems.
Targeted Intraoperative Radiotherapy (TARGIT-IORT) in Breast Cancer Surgery
Authors: Liu Xueni
Published: June 2024

According to the WHO, breast cancer (BC) has become the largest increase cancer in the world. The vast majority of cancers require radiotherapy and it is the mainstream treatment modality. Although there are numerous treatments, it still does not have a suitable one because of the side effects of radiotherapy. To reduce the harm to the body, people are attending to find a fewer side-effect one. Nowadays, the intraoperative radiation therapy（IORT）is starting to come into its own. TARGIT-IORT is a type of accelerated partial breast irradiation (APBI). The differences between TARGIT-IORT and traditional radiation are the localized radiating space and radiotherapy can be administered during surgery. Researchers have now found that it has a precise radiation range and can be performed simultaneously during surgery. Besides, it performs even better than traditional radiation therapy in various aspects. This is certainly a new trend in breast cancer treatment. TARGIT-IORT is expected to be the next trend in the treatment of BC.
A Comparison of Women's Image in Women's Films in Chinese and Western Cultures from a Female Perspective --Carol and Woman-Demon-Human
Authors: Tang Qian
Published: June 2024

In the different cultural backgrounds of China and the West, the trend of feminism and related films is different. The image of women is an important part of Chinese and Western culture and a special product of the times, which is extremely important for the understanding of female subjects and social development. Based on the films Woman-Demon-Human and Carol, this paper aims to explore the survival status of women and the manifestation of feminist awakening in different times from the aspects of feminism, self-consciousness, and gender differences, to show the dilemmas and struggles faced by women in modern China and the West, as well as the impact of gender manifestation on women. Women who can break through the inherent pattern, get rid of the fate of the male gaze, and have independent subjective consciousness are particularly valuable. The American movie Carol, with Carol and Therese as the main characters, tells the story of women with different personalities who have found themselves in life and have the courage to resist the pressure of the world and the oppression of patriarchal society. Woman-Demon-Human, directed by Huang Shuqin, tells the story of Qiuyun, who is obsessed with the art of opera, plays a male role, and dedicates her life to the stage. These two films portray the image of a true woman who can be autonomous and self-controlled, and deserve to be compared and analyzed in detail in terms of feminist awakening.
Design and Implementation of University Club Management System based on WeChat Applet
Authors: Qi Wenlu
Published: June 2024

To solve the problems of delayed work processes and redundant content in the management of university clubs, digital means are used to improve the efficiency of club management. We have designed and implemented a WeChat mini program for the university club ma nagement system. The mini program uses the Java Script framework and cloud database to facilitate participation in club activities, manage information, and register for activities. Through practical application, this mini program not only simplifies the club management process, but also enhances the interactivity and social attributes of the club. Effectively solving key issues in club management, it provides strong support for the digital transformation of university clubs and the convenience of student life.
The Application of the Hamburger Structural Writing Method in Teaching Argumentative Essay Writing in Junior High School English
Authors: Jiang Miao , Yun Hong
Published: June 2024

Writing is an important way of language output, which can objectively reflect students’ comprehensive language skills. Writing argumentative essays is one of the effective ways to develop students’ thinking quality. Therefore, the article takes “Unit 3 Could You Please Clean Your Room?” of the PEP edition as an example, and applies the “Hamburger structural writing method” to the teaching and writing process, to cultivate students’ problem analysis, logical reasoning, viewpoint expression, and critical thinking, and ultimately to improve the effect of English writing.
Impacts of Short Video to Long Video and the Corresponding Countermeasures: Taking Tencent Video as an Example
Authors: Lin Meihan
Published: June 2024

The video industry is a comprehensive field that integrates multiple attributes such as culture, technology, and economy. It uses artificial intelligence and high-tech means as a communication medium, with film and television entertainment content as its core, and has become an important part of the tertiary industry. At the same time, the video industry has a profound impact on people's living conditions and spiritual world. With the rapid rise and prosperity of short videos in recent years, the traditional video industry has been greatly impacted. Taking Tencent Video as an example, this article deeply analyzes the impact of short videos on long videos in terms of copyright and profit and proposes feasible measures to promote Tencent Video to adjust its profit structure and development layout, and further promote the new development of the long video field.
Study on the Impact of Digital Transformation on Green Total Factor Productivity
Authors: Liu Shuangshuang , Wang Xiaoyu , Yang Cen
Published: June 2024

This paper discusses the theoretical application mechanism of digital transformation to total factor productivity from the direct and indirect effects, and constructs enterprise digital transformation indicators based on the data of A-share listed companies from 2010 to 2022 for empirical analysis. The findings are as follows: First, enterprise digital transformation significantly promotes the increase of total factor productivity, and this conclusion passes multiple robustness tests. Secondly, the digital transformation of enterprises mainly enables the improvement of total factor productivity through direct effects and indirect effects of reducing internal control costs and external transaction costs. Finally, the empowering effect of enterprise digital transformation on total factor productivity is more obvious in service industries, technology-intensive, capital-intensive, competitive industries, large-scale enterprises, and emerging enterprises.
Analysis of Influencing Factors of Beijing Subway Passenger Flow Based on Data Analysis Method
Authors: Liu Zuhao
Published: June 2024

Subway passenger flow volume is a hot issue of concern to society. Some researchers develop predictive models to analyze short-time flow volume based on previous data. However, predictive ways to estimate the number of passenger flows before the subway construction still need to be completed. Therefore, by focusing on Beijing Subway Line 10, the article analyzes the factors influencing the passenger flow volume based on data analysis methods. The research finds that passenger flow volume on weekdays is greater than on weekends; as the number of stations and transfer stations increases, the volume increases; monofunctional stations have higher passenger flow volume. Before the construction of the subway, the design can be more appropriate according to relative factors. As a result, it is beneficial to release the stress of management and issues happening while the subway is running, decreasing operating costs and risks. In future studies, more detailed analyses in particular cases can be done.
Integrated Marketing Communication Strategies of the Online Variety Show "Talk Show Conference"
Authors: Yu Xuande
Published: June 2024

"Talk Show Conference", as a highly popular online variety show, owes its success to meticulously planned integrated marketing communication strategies. In the preparatory phase, the show clearly identified its target market, precisely targeting a young, fashionable audience with potential for consumption. Through in-depth market demand analysis, the show understood the audience's expectations for high-quality talk shows. It also conducted a comprehensive analysis of the competitive environment, clarifying its competitive advantages and market positioning. In terms of integrated marketing communication strategies, the show emphasized product strategy innovation and enhancement, attracting a large audience with its unique content and format. For pricing strategy, it utilized a variety of methods including advertising cooperation, audience pay-per-view, and derivative products, maximizing revenue. In channel strategy, the show fully leveraged the complementary advantages of traditional and new media, achieving comprehensive online and offline coverage. The integrated marketing communication strategy of "Talk Show Conference" fully reflected a market orientation and audience demand orientation. Through continuous innovation and optimization, it maximized brand value. As market competition intensifies and audience demands evolve, "Talk Show Conference" will continue to explore more effective marketing communication strategies, bringing more exciting programming experiences to its audience.
Application of Machine Learning in Cancer Prediction
Authors: Wang Yiwen , Xia Yuansen
Published: June 2024

Article set lung cancer as the background, and the significance of the topic is more accurate prediction of lung cancer data, and it consists of the lung cancer and the development of tumors. The impact of lung cancer on patients and the surrounding society is comprehensive and requires multi-faceted support and attention. Early prevention, early diagnosis, and comprehensive treatment can reduce the negative impact of lung cancer. This article uses machine learning methods to assist the medical sector in detecting lung cancer, and this method is more efficient and accurate compared to the traditional way. The result shows that in the context of big data, predicting and diagnosing lung cancer based on machine learning can not only improve the accuracy of diagnosing lung cancer but also become a major trend in testing and developing treatment plans for each individual. This research can provide details for related experiments and provide a novel path for the medical department.
The Comparative Study on the English Translations of Du Fu's Poems from the Perspective of Steiner's Hermeneutic Motion
Authors: Cao Rangju
Published: June 2024

Du Fu's influence in Chinese classical poetry is very far-reaching, and he is honored as the "Sage of Poetry" by later generations, and his poems are also known as the "History of Poetry". As a typical representative of traditional Chinese culture, Du fu's poems are loved by the public, and different translations have made the world better understand the culture of ancient Chinese poems. Based on the hermeneutic motion of George Steiner, this paper selects two English translations of Du Fu's poems by Mr. Xu Yuanchong, a domestic translator, and Mr. Watson, a foreign sinologist as the objects. Through the comparative study of the two translations, this paper explores how the four hermeneutic steps of “trust”, “aggression”, “incorporation” and “compensation” in Steiner’s hermeneutic motion are represented in their translations. It provides a new perspective for the study of Du Fu’s poetry translation into English and promotes the dissemination of ancient Chinese poems.
Research on Flight Safety Indicators Based on Confidence and Principal Component Analysis
Authors: Yu Shanshan , Liu Yizheng , Kang Chuyang , Hu Zhutao
Published: June 2024

Modern technology protects flight safety, especially in the specific research and application of flight quality monitoring, and similar studies are currently focusing on large-scale reading of flight data, and storing and analysing it. In this paper, the data from switching on the autopilot is extracted and the reliability is firstly investigated using the Cronbach's alpha reliability coefficient method. Considering the various types of data as the questions of the questionnaire, and the result of Min-Max normalisation of the data as the score of the questionnaire, the size of the reliability coefficients of the data for the eight flight segments was finally derived, and the reliability of the data was quantitatively described based on this. In order to filter the importance of factors reflecting flight safety, seven indicators related to flight safety were then extracted. Then, through principal component analysis, the importance of the indicators was analysed by the size of the coefficients, and the degrees of importance, from the largest to the smallest, were as follows: airspeed, ground speed, descent rate, altitude, and attitude.
Research on Environmental Pollution Caused by Acid Rain
Authors: Cheng Lingyun , Lu Siwei , Shi Runchen
Published: June 2024

In recent years, environmental issues have became a very hot topic again. The focus of this article is on the acid rain issue. This article will introduce how acid rain is formed, the harm caused by acid rain and how humans deal with acid rain to the public. A large number of research results show that although humans recognize the harm of acid rain and reduce the emissions of nitrates, sulfides and other things related to acid rain, the problem of acid rain still exists. The main reason for this phenomenon is the huge demand for fossil fuels. Fossil fuels play an important role in human production and life and are still used in all forms of transportation. Although there are many electric vehicles now, the main way for humans to obtain electricity is still to burn fossil fuels. Acid rain not only has a great impact on human physical and mental health, but also has an indelible impact on animals and plants. Acid rain has a neutralizing effect on alkaline soil, at the same time, it causes more to reduce the nutritional value and mineral content of the soil. This article hopes to find a better solution by sorting out with the summary of almost aspects of acid rain.
The Impact of Dark Matter Halo on Galaxy Structure and Morphology in Early Universe
Authors: Zheng Yihan
Published: June 2024

This essay will represent the importance of dark matter halo for galaxy formation and galaxy morphology in the early universe. The goal of this is to find the impact of dark matter halo on galaxy structure, and the relationship between different galaxies’ dark matter halo. There are still some unknown parts of the dark matter halo, such as its radius and its peak distribution. In this essay, there are several citations from different research, from the dead massive galaxy MACS J2129.4-0741 to dwarf galaxy Tucana II, which aim to discuss the effect of dark matter halo widely. It includes the dark matter halo’s properties and also includes the visual manifestation of dark matter halos. What’s more, it includes the impact of dark matter halo in different kinds of galaxies. Overall, the essay presents some important conclusions about the importance of dark matter halo in structure and morphology summarizes some achievements of dark matter halo research, and some suggestions for future observation and simulation.
Badminton Teaching in Xinjiang Colleges and Universities: An Evaluation
Authors: Zhang Yunchao
Published: June 2024

Badminton courses offered in colleges and universities are competed by college students has become the norm, and the teaching of badminton program has also become one of the most popular programs in sports teaching in colleges and universities. However, there are some problems in the teaching of badminton in colleges and universities. This paper utilizes the mixed research method, has taken 251 students and 5 teachers in 5 colleges and universities in Xinjiang as an example, and carried out a study on the survey respondents. The study found that the facilities of badminton courts meet the requirements, the equipment basically meets the needs, and the teaching quality is good. However, there were problems with teaching venues and facilities, such as lack of technical foundation and insufficient student interest. Solutions include increasing the number of courts, maintaining facilities regularly, providing individualized instruction, adding interesting and challenging teaching content, and creating a positive learning atmosphere. These findings suggest that colleges and universities should focus on facility maintenance and individualized instruction to stimulate student interest and motivation.
Analysis of the Factors Influencing Housing Prices in Yunnan and Guizhou Based on Linear Regression
Authors: Fang Yuan
Published: June 2024

The real estate industry contributes significantly to the national economy. In reality, it has a significant impact on the lives of residents. It is of great significance to study the factors that affect the housing price for the development of the real estate industry. Based on the real estate data of Yunnan Province and Guizhou Province from January 2012 to December 2022, this study will analyze the factors influencing the housing prices of Yunnan Province and Guizhou Province. In addition to SPSS research, multiple regression analysis will be used in this paper. According to the analysis, housing prices in Yunnan and Guizhou provinces will rise with the decline of long-term loan interest rates. Besides, the residential consumer price index negatively affects housing prices in Yunnan and Guizhou provinces. Moreover, an increase in the amount of real estate investment will lead to an increase in housing prices. On this basis, the completed real estate area has a negative relationship with house prices.
Analysis of Stock Price Fluctuation Factors in Luxury Goods Industry Based on LVMH’s Stock Price
Authors: Wen Han
Published: June 2024

This article collects LVMH Moët Hennessy Louis Vuitton’s stock data in the past 11 years to analyze the factors affecting stock price fluctuations in the luxury goods industry. This article analyzes factors affecting stock price fluctuations by dividing time periods. Then it was concluded that the internal factors affecting LVMH’s stock price include the acquisition of Belmond and Tiffany and the provision of job opportunities for the younger generation. External factors affecting LVMH’s stock price include the US-China trade war, the COVID-19 pandemic, and the Russia-Ukraine conflict. Among them, the one that caused the most obvious fluctuations in stock prices was the acquisition of Tiffany. Based on the analysis of LVMH’s stock price fluctuations, corresponding suggestions can be made for the subsequent development of LVMH to increase profits and avoid risks. It can also provide stock investors with advice on whether to buy or sell stocks.
Design of a Mobile Industrial Robot Platform based on Fixed Cameras
Authors: He Zhongjun
Published: June 2024

This study presents a design for an autonomous mobile robot system that utilizes environmental cameras for navigation and obstacle avoidance. Operating within a known environment, the robot employs these cameras to facilitate path planning and to circumvent obstacles. The hardware setup includes fixed cameras strategically placed in the environment to pinpoint the robot’s location and to identify obstacles amidst varying conditions. A computer system is essential for processing the data captured by the cameras, and a wireless transmission system communicates operational instructions to the robot.For navigation, the study explores various algorithms for path planning, selecting the most efficient one through comparative analysis. Once the path is established, the robot’s instructions are computed under the designed control rate, employing the vehicle’s PD control method. This method is informed by the external camera’s simulation of the vehicle, ensuring accurate and responsive navigation.The project’s goal is to create a mobile robot platform that leverages an external camera as its primary sensor. This design promises efficient autonomous navigation and the capability to avoid static obstacles. The robot’s design is conceptualized using SolidWorks and brought to life through implementation in the Python and MATLAB programming languages, demonstrating the system’s practicality and adaptability in real-world scenarios. Additionally, the system’s design considers ease of integration and scalability to accommodate future technological advancements and new application requirements.
Analyzing the Impact of Renewable Energy Integration on Power System Reliability
Authors: Huang Zixuan
Published: June 2024

The integration of renewable energy sources is pivotal in addressing climate change and ensuring sustainable energy provision. Reliability management in power systems plays a crucial role in this endeavor, ensuring a consistent supply of clean energy while reducing carbon emissions. Extensive national and international research has demonstrated the effectiveness of modeling techniques, analytical methods, and management strategies in mitigating the volatility and uncertainty inherent in renewable energy. Reserve capacity planning, intelligent control systems, and energy storage technologies are instrumental in enhancing power system reliability. Case studies and empirical analyses offer valuable insights for other regions dealing with renewable energy challenges. With continuous technological advancements and policy support, the obstacles of renewable energy integration can be surmounted, moving us closer to a sustainable energy future. Ongoing research and international cooperation provide further opportunities and solutions to achieve clean energy objectives.
Analysis of Individual User’s Financial Debt Default -- Based on the Construction of Logistic Regression Model
Authors: Yu Tianhao
Published: June 2024

As an important part of the economy and society, financial institutions bear the important task of providing financial support and financial services to the real economy. However, due to various reasons, customers of financial institutions may default, which will not only bring economic losses to financial institutions, but may also have a negative impact on the stability of the entire financial system. This article uses Logistic regression to establish a customer debt default warning model, and analyzes and evaluates customer data from financial institutions. It is found that the occurrence of customer defaults is mainly related to the customer's occupation (whether a student) and the customer's balance. Through the establishment of this model, it aims to discover potential financial default customers and help financial institutions reduce the risks caused by debt defaults, which has certain research value and practical significance.
Analysis of One-dimensional Double-potential Barrier Structures Resonant Tunnelling Based on Transmission Matrices
Authors: Zhang Zihan
Published: June 2024

The comprehension of the tunnel effect, the passage of matter waves and particles across a high potential barrier, was the most astounding of all discoveries in quantum mechanics. Research on tunnelling in semiconductors and superconductors, as well as the development of scanning tunnelling microscopy, garnered five Nobel prizes in physics. In this study, the resonant tunnelling effect of electron tunnelling through a one-dimensional double-potential barrier was found and verified by solving the time-independent Schrödinger equation and calculating the transmittance rate of the electron tunnelling through the two potential barriers by using the transmission matrix technique performed by MATLAB. According to the analysis, the transmittance rate was one under certain specific conditions (under some specific incident energy values or some specific distance between two potential barriers), which was called as resonant tunnelling. However, in this study, square potential wells were analyzed, which can be considered merely as ideal models in real life, and therefore all results are idealized. For further investigations, researchers can use more realistic parameters to set up potential wells and analyze real-life problems.
Research on Harmonic Suppression Methods
Authors: Wang Yuanyuan
Published: June 2024

Harmonics can be very harmful to power electronic equipment. With the widespread use of modern electronic equipment, the generation of harmonics has become more common. These harmonics not only come from non-linear loads but can also be caused by faults or instability in the power system. Therefore, suppressing harmonics is crucial to maintaining the stability and normal operation of the power system. In recent years, experts have studied the harmonic problem, there are a large number of harmonic suppression methods, and the basic idea is divided into two, one is to transform the power electronic equipment itself; the other is to install harmonic compensation devices. In this report, three feasible harmonic suppression methods are selected for these two main ideas, harmonic suppression based on feed-forward compensation, harmonic suppression based on transformer, and harmonic suppression based on filter. For the public to have a clear enough understanding of these methods, the backgrounds of these three methods are introduced, the basic working principles are analyzed, and the effects of harmonic suppression are analyzed and summarized, which will help subsequent researchers sort out research ideas. Finally, according to the current shortcomings of the three methods, including a small range of applications, limitations of harmonic detection technology, and so on, the future development of harmonic suppression methods is prospected.
An Analysis of Man-machine Community from the Posthuman Perspective-- Never Let Me Go as an example
Authors: Zhao Xinyi
Published: June 2024

Kazuo Ishiguro, a Japanese-British writer, has a rich variety of themes and content in his works, especially focusing on social phenomena. In his classic novel Never Let Me Go, Kazuo Ishiguro reflects on the post-human problem of making "human" by genetic technology, and responds to this problem by constructing a "human-machine community" between humans and clones. Never Let Me Go is narrated from the perspective of the clone Kathy. By describing Kathy's schooling in Hailsham, training in the Agricultural Society, and serving as a carer across the country, the story vividly outlines the daily life of humans and clones. In addition, through humans' protection of clones, the "human-like" emotional connection between clones, and the desire of clones to find their own "human prototype", the work shows the "human-like" characteristics of clones from three levels of human form, human feelings, and humanity, in order to seek to build a real "human-machine community". Therefore, this paper puts the work Never Let Me Go in the perspective of post-humans, and interprets it with the help of the community theory. The article will analyze the common characteristics of clones and humans in appearance, emotion, and nature, so as to reveal the essence of the "community" between humans and clones. At the same time, this article calls on people to correctly understand a series of problems faced by the "posthuman" era, and to maintain their humanistic concerns under the impact of modern technology.
Analysis of the Influence of Contemporary Art Trends on Art Design
Authors: Zhang Xun
Published: June 2024

Artistic thought, as an artistic phenomenon, is a manifestation of the regular movement and development of art itself. The influence of contemporary art trends on art design is rich and diverse. At the same time, they also influence each other and develop together in this era of art contention, and progress and develop together with the pace of The Times. Nowadays, under the background of such a diversified world, the trend of artistic thought constantly influences the art design and plays an important role in the development of art design. This paper mainly discusses and discusses the influence of contemporary art trend on art design.
Unveiling The Dynamics of Actuarial Science: Current Challenges and Innovative Solutions
Authors: Wang Chuminglei
Published: June 2024

Exploring the topic of actuarial science reveals that it faces a number of complex issues. Each of them presents unique difficulties for the discipline to overcome in order to operate effectively. By looking at the current state of the field of actuarial science, there are four main categories of shortages. The study is conducted against a context of technological disruption, limited public awareness, worries about data quality and availability, and the globalization challenges. Through thoughtful consideration, solution for each of the issues are presented in the circumstances of current social and economic context. The significance of the study is that it may reveal useful information that will open the door to creative ways to strengthen actuarial science in the face of modern obstacles. All things considered, this research is ideally situated to have a significant impact on how actuarial science develops and moves forward into a time when it is capable of handling the challenges presented by the contemporary world.
Englishes in China: Evolution and Recognition in World Englishes
Authors: Shen Yiting
Published: June 2024

This study offers an in-depth examination of the development of “China English” (CE) within the framework of World Englishes (WE). Tracing the historical trajectory of English in China, from its origins in Chinese Pidgin English to the contemporary manifestations of CE, the paper conducts a comprehensive analysis of its various stages. Situating CE within the broader context of WE, the study engages in debates regarding its recognition as a distinct variety of English. Moreover, it investigates the process of nativization of CE, highlighting its phonological features, lexicon enriched with cultural nuances and discourse patterns shaped by sociocultural dynamics. Despite ongoing debates surrounding the legitimacy of CE, the paper argues that its evolution conforms to established parameters of nativization, thereby establishing it as a legitimate variant within the global landscape of English. Beyond linguistic examination, the study emphasizes the significant role of CE in facilitating international English communication amidst China's expanding global influence. By delving into the intricate interplay of language, culture, and identity in our interconnected world, this research provides valuable insights into the evolving dynamics of global communication.
Analysis on How to Improve BYD Co., Ltd.’s Operating Income based on Corporate Social Responsibility and Human Resource Management
Authors: Wu Mingxuan
Published: June 2024

In the global marketplace of today, every little thing can give a company a competitive edge over competitors and affect its long-term viability. Human Resource Management and Corporate Social Responsibility have grown to be extremely potent instruments for businesses. Over the past ten years, there has been an unparalleled surge in the study of Human Resource Management (HRM) and Corporate Social Responsibility (CSR). The corporate community has shown a keen interest in this sector, in addition to researchers and academics, who have contributed to this increase. However, many corporations have yet to discover the potential of Corporate Social Responsibility (CSR) and Human Resource Management (HRM) and what they can help for their companies. This paper mainly reviews on take BYD for an example, to see how BYD can solve its recent problem based on Corporate Social Responsibility and Human Resource Management and hope Chinese corporations can use this as model.
Financing Challenges and Strategies for Small and Medium Enterprises in China
Authors: Li Haobo
Published: June 2024

This study provides a comprehensive analysis of small and medium-sized enterprises' (SMEs) financing in China, highlighting their critical role in the national economy by contributing significantly to GDP, tax revenue, job creation, and exports. Despite their importance, SMEs face substantial financing challenges due to traditional banking systems' risk assessments, leading to a significant financing gap. The COVID-19 pandemic has exacerbated these challenges, threatening the survival of many SMEs. This research explores both traditional and innovative financing channels, including bank loans, equity financing, and digital platforms like Microconnect and Meituan. The difficulties SMEs face are also discussed, such as high loan rejection rates and the limitations of collateral-based financing which often push these enterprises towards high-cost alternatives or limit their access to necessary funds which hinder SMEs’ daily operation. It assesses the role of government policy and inclusive finance in supporting SME financing and examines the effectiveness of current financial support mechanisms while identifying ongoing gaps and challenges. It argues that while digital platforms like Microconnect and Meituan offer valuable insights and solutions, the complexity of China's financing ecosystem and regional disparities present ongoing challenges. The study ends by highlighting the importance of SMEs to China’s economy and the appeal for continued innovation and policy support to improve SMEs financing.
Comparative Evaluation of Asymptotically Optimal and Standard Upper Confidence Bound Algorithms in Multi-Armed Bandit Scenarios
Authors: Lyu Qiuyuan
Published: June 2024

The Multi-Armed Bandit (MAB) problem stands as a cornerstone challenge in the realm of reinforcement learning, particularly in contexts where an agent must sequentially choose actions from multiple options to maximize cumulative rewards, often analogized to pulling levers on slot machines. A plethora of algorithms have been developed and rigorously examined to tackle this issue, each aiming to enhance the process of reward collection. Nonetheless, a significant research gap persists, notably in relation to the Upper Confidence Bound algorithm (UCB). This study delves into the intricacies of UCB and its asymptotically optimal variant, focusing on their performance within a movie recommendation system context. Employing this real-world application as an illustrative example, the analysis seeks to discern the nuanced distinctions between the standard UCB and its asymptotically optimal counterpart. Through detailed exploration and comparison, insights emerge regarding the influence of different parameter values on the UCB algorithm's efficacy. This in-depth examination provides a more profound comprehension of how variations in these parameters affect the algorithm's capacity to balance exploration and exploitation, a key element in effective decision-making under uncertainty. Contrary to prevailing assumptions, the findings suggest that the asymptotically optimal UCB algorithm does not universally surpass the standard UCB algorithm in practical applications. This revelation calls for a reconsideration of the effectiveness of these algorithms, highlighting the importance of a nuanced evaluation of their performance across various scenarios.
Research on the Variation law of Compressive Strength of Concrete under the Coupling Effect of Freeze-Thaw and Salt Corrosion
Authors: Yan Minghui
Published: June 2024

Due to its unique freeze-thaw and sulfate corrosion environment, the northwest region is an important factor causing the deterioration of concrete structures. Compressive strength is a key indicator of the macroscopic performance of concrete. Analyzing the changes in compressive strength of different water cement ratios under complex freeze-thaw environmental conditions is of great guiding significance for improving the service performance of concrete. Therefore, in order to obtain the variation law of compressive strength of concrete under freeze-thaw cycle conditions, this paper designs three water cement ratio concrete freeze-thaw cycle and sulfate solution freeze-corrosion coupling tests to analyze the compressive strength changes at different stages. The results show that in a water freezing and thawing environment, the compressive strength of concrete decreases continuously with the increase of experimental age, and the larger the water cement ratio, the greater the decrease in compressive strength. In sulfate solution freeze-thaw, in the early stage of the experiment, the decrease in compressive strength compared to water freeze-thaw decreased, and in the later stage of the experiment, the decrease increased. The larger the water cement ratio, the greater the impact of the above.
Ecological Study of The Seven-Gill Eel Based on The Lotka-Volterra Model and Simulations
Authors: Min Zhifei , Xu Shuo , Ma Tingxuan
Published: June 2024

Seven-gill eels are migratory fish with a unique sex-determination mechanism, where the growth rate of juveniles determines the sex of adults. To explore the interactions of sevengill eels with the ecosystem, we first studied their habits and collected growth data. Then, we modelled the "marine-freshwater" migration of sevengill populations using a difference-in-differences approach and referring to the Lotka-Volterra model concept. In addition, we developed a model of "sevengill-prey" coexistence in the ocean through an intelligent body-based modelling approach and MATLAB simulations. The model incorporates factors such as human fishing, migration, stochastic events and interspecific competition, and is applicable to the same species.