bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Transport Organization Schemes for River Shipping Towing Transport
Authors: Wang Shiyu , Wen Hanyang , Tao Linghan , Li Ruyi
Published: June 2024

To improve the economic efficiency of ship transportation in the Jialing River section, this paper conducts an in-depth analysis of the factors affecting tugboat and barge operations during cornering and lockage. Based on a detailed analysis of existing problems, this study proposes the re-adoption of electric tugboat solutions as a keyway to enhance the economic efficiency and transport capacity of Jialing River shipping. By establishing a mathematical model and comparing the cost levels of electric-powered vessels with traditional oil-driven ones, the study further suggests strategies for applying electric-powered tugs to increase the average tonnage per lockage pass and achieve optimization of ship transport organization, including careful adjustment of ship types and lockage vessel combinations. The research results show that under current conditions, the optimal fleet organization scheme is a combination of A motorized ships and B barges with a specific carrying weight (each barge with a load of t), which can significantly enhance the economic efficiency level of Jialing River fleets under specific premises, while also increasing transport volume and reducing costs by approximately.
The Connection between Dark Energy and the Accelerating Expansion of the Universe
Authors: Jin Wenjia
Published: June 2024

In the current astronomical research, the study of the formation and evolution of the universe is a very important part of the content, and the study of the accelerating expansion of the universe and dark energy plays an important role in it. This paper systematically introduces the background of the evolution of the universe, the discovery of the accelerating expansion of the universe, and the advantages and disadvantages of different dark energy models. Firstly, the importance of cosmological research is discussed, starting from the Big Bang theory, the evolution process of the universe is introduced. Then, the paper focuses on the discovery of the accelerating expansion of the universe, introduces the concept of dark energy, describes the history, basic characteristics, and models of dark energy in detail, and discusses the basis of dark energy observation. What’s more, the paper goes on to delve into the mechanisms behind the accelerating expansion of the universe, highlighting the key role of dark energy in the process. The advantages and disadvantages of the different three dark energy models, and their possible effects on the accelerated expansion of the universe are analyzed. Finally, the paper summarizes the importance of the study of dark energy and the accelerating expansion of the universe to promote the development of cosmological theory and points out the direction of future research and possible progress.
Research Progress and Development Trends of L Band Fiber Lasers
Authors: Hu Ziyu
Published: June 2024

Fiber lasers have developed rapidly in recent years and play an important role in many fields. The L band refers to a wavelength range in fiber optic communications, usually between 1570 nanometers and 1625 nanometers. At present, research on L-band fiber lasers mainly focuses on improving their output power, enhancing spectral purity, and reducing costs. In this article, the author discusses the research progress and development trends based on the development of fiber lasers in the 1570 nm to 1650 nm band at home and abroad. Through investigation and research, it can be concluded that after 30 years of rapid development of single-frequency fiber lasers, the average power is hundreds of watts, the peak power is several kilowatts, the laser line width is 100 Hz, the intensity noise is close to the quantum noise limit, and the wavelength tuning range is tens of nanometers. Despite great progress, there are still some deficiencies in basic research and applied technology that need more development.
The Policy on Spread Control During COVID-19 Pandemic
Authors: Zhu Yuchen
Published: June 2024

The COVID-19 pandemic has posed significant challenges to global health, with governments and individuals seeking effective measures to control its spread,while the field of distancing were noticed the most. Social distancing has emerged as a crucial strategy in preventing the rapid transmission of the virus. This paper examines the importance of social distancing in controlling the spread of COVID-19, protecting vulnerable populations, and preventing healthcare system overload. The present occasion was also discussed ,like the need for changes in current policies.In the rest parts,it explores potential future measures to fight the probable pandemic,including advance storage of antiviral drugs and vaccines. This paper emphasizes the importance of the public health approach in the campaign of epidemic situation.The method encompasses some factors such as ventilation, occupancy, and exposure time,while the potential influence of these factors were also taken into consideration.In conclusion,the continued research and adaptation of strategies are necessary to better fight against future pandemics. Governments must also consider the role of individual responsibility in preventing the transmission of infectious diseases.
A Study of Insurance Company Underwriting Strategies Based on TOPSIS Entropy Weights and Cost-Benefit Analysis
Authors: Lei Gewen , Wu Zijun , Ma Sibo
Published: June 2024

Frequent extreme weather events triggered by climate change pose an increasing risk to property owners and insurance companies. To address this challenge, this paper explores how to optimize resource allocation strategies for property insurance with the aim of improving the ability of the insurance system to pay future claims while safeguarding the long-term stability of the company. In order to give an underwriting strategy for disaster-prone areas, the number of natural disasters, the number of people affected, and the economic losses are screened as key influencing factors. Subsequently, TOPSIS entropy weighting analysis was used to assign appropriate weights to these factors, and the K-mean algorithm was used to cluster these data into low, medium, and high-risk levels. To more accurately assess underwriting risk, I constructed an underwriting risk assessment model using cost-benefit analysis. Applied to the U.S. and Switzerland, the scores were 0.49 and 0.02, respectively. This suggests that the U.S. is a high-risk country and cannot be insured, while Switzerland is in a low-risk area and can be insured.
A Complex Analog Circuit Fault Diagnosis Method based on IMODA Improved Deep Belief Network
Authors: Gong Bin , An Aimin
Published: June 2024

Aiming at the problems of time-consuming and low diagnosis accuracy during the unsupervised training process of traditional DBN, an analog circuit fault diagnosis method based on Improved Multi-Objective Dragonfly Optimized Deep Belief Network (IMODA-ADBN) is proposed. The method employs an improved MODA algorithm instead of the BP algorithm, which improves the classification accuracy of the network and ameliorates the problem of being prone to falling into local optima. The algorithm is tested on three multi-objective mathematical benchmark problems and compared with three well-known meta-heuristic optimization algorithms such as MODA, MOPSO and NSGA-II, and the results demonstrate the stability of the IMODA-ADBN network model. Finally, IMODA-ADBN is applied to the diagnostic experiments of a two-stage quad op-amp dual second-order low-pass filter, and the results show that the method improves the classification accuracy and diagnostic rate while guaranteeing the convergence speed, and is able to effectively realize the classification and localization of difficult faults.
Research on the Constituent Elements of Regulatory Collection
Authors: Zhao Chenying
Published: June 2024

Regulatory expropriation refers to that although the government did not make a clear expropriation and requisition of the citizens 'private property, but due to the needs of public interests, the citizens' private property rights are restricted to a certain extent and should give appropriate compensation. At present, there is no relevant law on regulated expropriation in China, but due to the substantive use of land by administrative organs, the damage to the rights and interests of the regulated persons and the disputes increase. But in judicial practice, the court's judgment has reflected the constitutive elements of regulatory collection, clear regulatory collection should have the purpose of the public interest, the fact of impaired rights, control process, fair compensation of the four elements, absorb the kernel of the typical case, and promote the judicial application, safeguard the interests of the individual.
Analysis of Music Teaching Problems in Chinese Universities
Authors: Feng Yu , Tsetsegdelger Damdindorj
Published: June 2024

This study aims to explore the problems of music teaching in Chinese colleges and universities. Through the review and analysis of the existing literature, it is found that music teaching in Chinese colleges and universities suffers from the problems of homogenised content, outdated methods and insufficient teachers. Among them, the problems in teaching are specifically reflected in the following three aspects: music teaching in Chinese colleges and universities tends to favour traditional classical music, ignoring other genres of music, students lack of music education that combines with the trend of the times, and the influence of China's education system and policies. Outdated teaching methods are specifically manifested in the following 3 aspects: neglecting the active participation of students and the cultivation of practical ability, lack of innovative teaching means and tools, and the existence of the neglect of students' individual needs. Inadequate teacher strength is specifically manifested in the following 3 aspects: inadequate teacher training system, lack of teachers with professional skills, and imperfect teacher mobility and file management.
The Development of China's Digital Economy: Challenges and Countermeasures
Authors: Yang Haochen
Published: June 2024

With the rapid development of digital technology, China's digital economy is facing unprecedented opportunities and challenges for growth. This paper explores the challenges in four key areas of data security, digital divide, market monopoly and innovation, technology dependence and talent gap in China, and puts forward corresponding countermeasures and suggestions. In terms of data security and privacy protection, the importance of improving the legal system, enhancing technological protection capabilities, enhancing public awareness and corporate responsibility was emphasized. To address the digital divide, a comprehensive solution was proposed to strengthen infrastructure construction, provide customized education and training, and encourage public-private cooperation. In response to the challenges of market monopoly and innovation, it is suggested to strengthen market supervision, support the development of small and medium-sized enterprises and establish an innovation incentive mechanism. In terms of technology independent research and development and personnel training, it puts forward strategies to increase investment in key technologies, improve the education system, attract international talents and promote industry-university-research cooperation. The paper concludes that by implementing these countermeasures, China can not only solve the current problems it faces, but also occupy a more important position in the global digital economic landscape. These analyses and recommendations provide valuable insights for policymakers and have important practical significance for promoting the healthy development of China's digital economy.
A Systematic Review on The Efficacy of VRET For Agoraphobia
Authors: Pan Baoqing
Published: June 2024

This systematic review paper aims to evaluate the efficacy of Virtual Reality Exposure Therapy (VRET) for Agoraphobia, a severe psychological disorder characterized by avoidance behavior and sometimes panic attacks. The paper presents a qualitative assessment of 15 studies published after 2000, using Scopus databases. The experiments were evaluated for eligibility based on their abstracts and full content, and only English-language published articles were included. The review shows that VRET is a promising therapy for Agoraphobia, with similar efficacy to In Vivo Exposure (IVE), but with certain advantages such as better control over exposure content and higher patient satisfaction. However, implementing VRET may be difficult for some patients due to cybersickness and higher costs. The paper concludes with a diagram of the 15 experiments evaluated and emphasizes the importance of further research on the efficacy of VR therapy for anxiety disorders, including Agoraphobia.
An Empirical Study on Stock Returns of Chemical Industry Based on ARMA-GARCH Model--The Case of NIKKE Chemicals
Authors: Shen Lechi , Yang Ning
Published: June 2024

This paper uses the ARMA-GARCH model to make predictions on the volatility of stock returns in China, selects the time series of daily returns of the representative enterprise of the chemical industry, NIKKE CHEMICAL, as the object of study, analyzes the stock returns of the enterprise over the past 6 years, and uses the ARMA model to make predictions of stock returns, and at the same time, joins the effect of volatility, and models the risk rate by using the GARCH model, and empirical evidence The results show that the chosen ARMA-GARCH model has a good fit to the time series of daily returns. This paper examines stock prices and analyses them by constructing a theoretical model that can provide advice for investment decisions in the stock market.
Implementation of Inclusive Education Framework in Preservice Teacher Preparation Programs
Authors: Xiao Ke
Published: June 2024

The study was motivated by the global pursuit of educational equity and equality, and the unique challenges of implementing inclusive education in China, a country with a profound educational legacy and rapid modernization. The study aimed to address the research gap of evaluating the adaptability and effectiveness of the current teacher training framework within the Chinese context, offering guidance and references for educational reforms.The study aimed to evaluate the effectiveness and implementation of the inclusive education framework in pre-service teacher training programs in China, and to answer seven research questions related to the profile, perception, and assessment of pre-service teachers.The study employed a descriptive quantitative research method and adopted a descriptive correlational research design. The study concluded that the pre-service teachers had a moderate level of knowledge, skills, attitudes, and beliefs about inclusive education, and that their training and preparation needed to be improved and tailored to the Chinese context. The study also recommended some innovative measures to enhance the effectiveness and implementation of the inclusive education framework in pre-service teacher training programs.
Organic Electronics in Flexible Devices: Engineering Strategy, Synthesis, And Application
Authors: Huang Qihao , Pan Bo , Wang Zhengxiang
Published: June 2024

In recent years, flexible electronics have made significant strides, especially in organic light-emitting diodes, photovoltaics, thin-film transistors, integrated circuits, sensors, and memories. This study investigates the pivotal role of organic electronics in shaping flexible and wearable technology. It explores key aspects such as conductive polymers, small molecule organic semiconductors, and the use of organic dyes and pigments in displays, alongside synthesis techniques like polymerization and vapor deposition. These methods highlight advances in flexibility engineering and integration into wearable devices, enabling innovations like textile-integrated electronics and ultra-thin, skin-like interfaces. The discussion also covers synthesis and fabrication strategies, emphasizing cost-effective, solution-processing techniques for manufacturing electrodes, interconnects, and metal contacts on various flexible substrates. Advanced materials like graphene polymer composites, carbon-nanotube composites, and polymer-ceramic composites are investigated for enhancing stretchability and flexibility in device architectures. Furthermore, the paper examines the evolution of flexible devices, focusing on design strategies for flexibility and stretchability, innovative engineering polymers, composites, and device architectures, including 3D integration. Integration techniques in wearable devices, such as textile integration and skin-like electronics, are discussed, showcasing their transformative potential in applications like health monitoring devices, smart clothing, and wearable displays. Finally, the paper proposed solutions to address challenges such as durability, stability, scalability, and manufacturing efficiency, emphasizing the ongoing quest for improved materials and manufacturing processes. The conclusion underscores the transformative potential of organic electronics, envisioning a new era of wearable and flexible technology seamlessly integrated into daily life, revolutionizing our interactions with electronic devices.
Research on the Path of The Digital Transformation of Education in The Era of Artificial Intelligence
Authors: Lin Shaoyun
Published: June 2024

The digital transformation of education is a process of driving the ecological reform of education through digital technology, so as to play the effect of education. This paper discusses the core concepts and challenges of the digital transformation of education. In the process of the digital transformation, schools face campus walls elimination, school boundaries continuously reconstruction, curriculum mode subversion, teaching practice restructuring, teachers 'role transformation, professional ability needs to be reconstructed; students' ability weakening and learning ecology needs to be reshaped. Schools need to improve the digital infrastructure, build multiple digital platform, strengthen the systematic training of teachers, to carry out the integration of multimodal learning analysis of learning process tracking, provide man-machine collaborative personalized learning support and service four ways to build intelligent campus, comprehensive innovation teaching space, improve teachers' quality, create learning ecology at full speed.
Information Asymmetry and Agency Problems in the Financial Market
Authors: Wang Haoyang
Published: June 2024

This paper discusses that the agency problem stems from the information asymmetry between shareholders and professional managers, this comes from the fact that shareholders cannot have expertise in every aspect. Therefore, in the actual operation of the company, it is necessary to hire professional managers to manage the company. However, at the same time, the two parties with asymmetric information have different ways of income. The professional manager whose income mainly comes from a fixed salary is bound to be more interested in short-term development than like the shareholders. The reason. The main income is profiting sharing and future asset appreciation. As a result, managers will not value long-term development as much as shareholders. As well as this paper will discuss whether it can minimize the agency cost by changing the remuneration method of professional managers to equity incentive value. This paper will also discuss the feasibility and possible problems by having directors directly involved in the management of the company, or creating a regulator to oversee the professional managers.
Analysis of the Use of Speech Act Theory in English Teachers' Language
Authors: Zheng Kefan
Published: June 2024

The English curriculum standard emphasizes the cultivation of students' core literacy, which cannot be developed without the construction of language environment. Among the many elements affecting the efficiency of English teaching, teacher's discourse occupies an important position. Teachers' discourse has an important influence on the issuing of instructions, the construction of questions, the promotion of activities and the interaction with students in the English classroom. Therefore, based on verbal behavior theory, it is of great significance to explore teacher discourse in the English classroom to improve the teaching ability of English teachers, enhance students' learning efficiency, and realize the teaching goals with high quality.
Analyzing the Spiritual Connotation of Japanese Pop Culture from the Course of Modernization Based on Contemporary Japanese Writers
Authors: Chen Yixin
Published: June 2024

The development of pop culture in Japan has long historical roots. Since its post-war modernization, Japan has successfully transformed itself from an old culture-importing country to a culture-exporting country. The article focuses on a number of epochal points since Japan's post-war renaissance, analyzing a number of representative Japanese authors and their works from 1945 to the present, and understanding the birth and spread of Japanese popular culture. Studies have shown that the development of Japanese popular culture has been heavily influenced by European and American culture, but has also demonstrated rebellion and reflection on past cultures and ideologies, ultimately opening up a wide range of cultural areas on this basis. The article takes the representative writers and works of contemporary Japan as the blueprint for research, and finds that Japanese pop culture has a unique rebellious character and humanistic sentiment in its spiritual connotation. In the present day, the Japanese national psyche, on the other hand, interacts and influences popular culture.
Property risk assessment and dynamic premium pricing based on ARIMA
Authors: Wu Xin , Zhao Yimeng , Song Wenjing , Luo Hao
Published: June 2024

This study aims to improve the efficiency of insurance underwriting decisions and assess community risks, and constructs a dynamic premium pricing model through the ARIMA model. In-depth analysis of historical data provides quantitative and optimal support for insurers to address premium setting and underwriting decision challenges. The results show that the model can predict future risks and losses, facilitate risk classification and premium determination. The classified statistical method analyzes the frequency and time correlation of extreme meteorological events, and provides basis for insurance policy adjustment. Research provides more accurate and dynamic premium pricing and underwriting decision-making tools, simplifies the risk assessment process, and is conducive to insurance market stability and resource optimization, service optimization and long-term market stability.
Research on High Performance Apple Recognition Model Construction Strategy Based on Deep Learning
Authors: Wang Yixuan , Su Zhengkun
Published: June 2024

In order to improve the working efficiency and environmental adaptability of apple picking robots, which can realize accurate recognition and localization, ripening assessment, and quality assessment under complex situations such as "leaf occlusion", "branch occlusion", "fruit occlusion", "mixed occlusion", etc., this paper proposes a Faster R-CNN-based apple recognition method. "mixed occlusion" and other complex situations to achieve accurate recognition and localization, maturity assessment, quality assessment, the paper proposes an apple recognition method based on Faster R-CNN. The method combines the cv2.inRange and cv2.fitEllipse functions in OpenCV to optimize the model, and performs color segmentation and shape fitting by setting up color and shape thresholds to recognize apples. The trained model was tested to have a recall of 88.44% under the validation set, an accuracy of 90.35%, an F1 value of 89.38%, and a recognition time of about 0.3 s per image.The experimental results showed that the number of apples in the dataset showed a normal distribution, with the number distributed more in the range of 0 to 10. Candidate frames are screened by RPN, and apple coordinates are derived based on the coordinate transformation formula, and the experimental results show that the apples are more densely distributed near the range of x=100, y=100. The image color distribution was extracted through color histogram, and the entropy value of GLCM, contrast as the texture feature of apples, and the classification prediction of apple ripeness was carried out by using Random Forest Model, and the accuracy of the model prediction was 83.2%, the precision rate was 84.1%, and the recall rate was 83.5%, and the experimental results showed that 88.7% of the apples were ripe. Image edges were extracted by the Canny edge detection algorithm and the area values of pixel points within the edges were calculated. The ratio of pixel area converted to apple mass was estimated to be 0.007 based on the image resolution and apple density, and the test results indicated that the mass of apples was mostly concentrated in the range of 0~100g.
Empirical Study on The Relationship Between Digitization and Industrial Innovation--Taking Wuhan New Display Industry as An Example
Authors: Jing Yaqing , Xia Zixuan , Li Xiaoxiao , Fan Ke , Ming Xingyue
Published: June 2024

This study explores the empirical relationship between virtual agglomeration and industrial innovation in the context of digitalization, taking Wuhan's new display industry as an example. Firstly, the key concepts of digital industrialization, industrial digitization and enterprise technology innovation are clearly defined, and the research framework is constructed on this basis. The rationality and reliability of the model are verified by constructing a VAR model and adopting methods such as unit root test and Granger causality test. The empirical results show that digital industrialization is self-promoting, industrial digitization is independent and subject to external influences, and enterprise technological innovation has complex dynamic responses. Based on the empirical results, it is proposed that the government should strongly support the application of digital technology in traditional industries, promote the internal digitization of industries, and actively promote the construction of technological innovation platforms. The research in this paper helps to deeply understand the regularity of industrial development in the context of digitization, and provides an important reference for the transformation and upgrading of new display industry in Wuhan.
Signal Processing Based on Butterworth Filter: Properties, Design, and Applications
Authors: Wang Boyou
Published: June 2024

This paper presents a comprehensive exploration of the properties, principles, design methodologies and practical applications of Butterworth filters. The Butterworth filters are acknowledged for their flat frequency response in the passband, which is at a maximal level, while introducing minimal distortion to the signal of interest. Therefore, they were commonly applied in various situations. The study centers on a detailed investigation of a specific case involving the analysis of a third-order Butterworth lowpass filter circuit using Sallen-Key circuit topology. The Sallen-Key topology was basically utilized to achieve the Butterworth filter in the second-order circuit design. Moreover, in order to complete the third-order Butterworth filter design, an additional circuit part was also established apart from the second-order Butterworth filter. The simulation of the circuit was done in the software LTspice. This article will provide an overview of the research, discussing the essential characteristics of Butterworth filters and their significance in signal processing. The findings of this study contribute to a deeper understanding of Butterworth filters and their role in various signal processing applications.
Digital Economy Mechanisms and Tests for Promoting Common Wealth
Authors: Fei Baoxiang , He Liju , Liu Fangxia , Li Biyang
Published: June 2024

This paper focuses on the two development strategies of digital economy and common wealth, explores the effect, mechanism and spatial spillover effect of digital economy on common wealth, and further examines the heterogeneity of cities of different sizes and locations. The study finds that the digital economy can increase the level of common prosperity development by 37.1%, and effectively reduce the ratio of urban and rural per capita disposable income, and positively affect the level of common prosperity development in neighboring areas through spatial spillover effects. The mechanism test shows that public management, human capital, R&D and innovation play a significant positive mediating role in the development process of the digital economy affecting the common wealth. The study also confirms that the impact of the digital economy on shared prosperity decreases with the expansion of urban population size, and plays a greater advantage in the location of non-core cities.
Impact on Smart Supply Chain in the Context of Industry 4.0: The Case of BYD
Authors: Yu Zejun
Published: June 2024

Industry 4.0 is one of the key topics put into research. Researchers have found that Industry 4.0 has a lot of theoretical research on manufacturing and supply chain management. However, there still needs to be a research gap in enterprise management and optimization of smart supply chains thanks to the fourth information revolution. Therefore, this paper uses the actual case of a BYD enterprise to analyze its enterprise's problems and use the intelligent supply chain to improve the problems. The research methodology of this paper is as follows: firstly, collect the data on BYD's R&D investment and supply chain structure, as well as the relevant thesis research on BYD's green development and cost management. Secondly, the enterprise data, supply chain structure, and so on are analyzed. Finally, it gives the corresponding suggestions and solutions in combination with intelligent supply chain management. The study shows that big data, smart data analysis, artificial intelligence, and smart supply chain framework should be used to manage BYD's capital investment, restructure the supply chain, and balance cost and sustainable development.
Experimental Study and Analysis of Aerodynamic Characteristics of Gliders with Different Wing Geometries
Authors: Ma Pengfei
Published: June 2024

At present, airplanes are widely used in people's daily lives, and research on this means of transportation is of great importance. Currently, academic research still lacks the influence of different aircraft wing shapes and areas on aircraft flight conditions. This article analyzes the basic principles of glider flight and explores the aerodynamic principles of gliders through paper plane simulation. Firstly, this paper introduces the development history of gliders. Secondly, the mechanical analysis of the aircraft is carried out. The factors that affect the flight performance of the aircraft are analyzed by paper airplane simulation experiments. The experimental results are analyzed, and the future development direction is forecasted. From the final research results, there is a close relationship between the aspect ratio and the glide angle of the plane. In the experiment, lower induced drag allows the aircraft to move further horizontally while descending resulting in a smaller glide angle. This study reveals the relationship between aspect ratio and glide angle, which provides intellectual support for the development of the aircraft manufacturing industry.
Explore the Influence of Impressionism on Post-Impressionism: Taking Van Gogh's Works as an Example
Authors: Liu Jiabei
Published: June 2024

Impressionism is a pivotal movement in the history of Western art. It revolutionizes the traditional approach to Western painting. This artistic movement emphasized the spontaneous, direct, and visual representation of natural light and its effect on colors, shapes, and textures. Impressionism is a special kind of non-traditional art without a doubt. Vincent van Gogh is one of the most famous impressionist artists. He has many special characteristics: swirl-like brushstrokes, painting themes that are full of compassion and suffering consciousness, and bold and exaggerated colors. Van Gogh's works often express different emotions through strong contrast and bright colors. His works are very distinctive and full of beauty. He is also one of the most representative impressionist artists. This article will use the survey method and document retrieval method to discover the specialties of impressionism works through Van Gogh's paintings. After the discovery, this article has found three main specialties of impressionism: colors, unrealistic descriptions, and nature elements. In conclusion, this article has discovered why impressionist artworks are so special and so ‘impressive’ through the research.
Computational Analysis of Aerodynamic Drafting Effects in Lemans Racing Cars
Authors: He Jiaqi
Published: June 2024

Le Mans racing is a comprehensive motorsport event that tests not only the long-distance stability of race cars but also considers fuel economy and speed, where aerodynamics plays a crucial role. Many manufacturers place great emphasis on the aerodynamic design of race cars. However, in-depth research on the application of drafting effects in Le Mans racing and studies on team formations are somewhat lacking. Through Ansys simulations, this study deeply explores the impact of drafting on race cars and, by varying the distances between cars, identifies differences in air resistance encountered by different formations. The findings reveal that drafting can substantially decrease the aerodynamic drag experienced by race cars when they are positioned at relatively close proximities to each other. As this distance increases, a "drag bubble" phenomenon occurs within a certain range, where the trailing cars begin to experience increased resistance. On the other hand, the study of car formations under race-regulated conditions has identified optimal vehicle spacing that minimizes the average aerodynamic drag faced by the team, providing strategic insights into the arrangement of team formations for improved race performance.
Raptor Codes with LT-LDPC Precoding Performance Analysis and FPGA Optimization
Authors: Wang Hongyu
Published: June 2024

Raptor codes are designed to effectively handle packet loss and erasures as a type of fountain code, capable of generating an unlimited number of encoded symbols from source informations, which is particularly useful in scenarios where the number of transmissions is unknown or variable. Luby Transform (LT) codes, a kind of fountain code encoding method, exhibit linear complexity, and Low-Density Parity-Check (LDPC) codes can be constructed by the generator matrix and the parity-check matrix. The LT-LDPC pre-coding method combines the advantages of both, enhancing encoding and decoding efficiency. Deploying code on Field-Programmable Gate Arrays (FPGAs) involves several steps: synthesis, place and route, and bitstream generation, followed by loading the bitstream onto the FPGA to configure its internal logic according to the coding methods. This paper introduces a method of encoding and decoding Raptor codes, utilizing the intimal LT codes and the peripheral LDPC codes constructed by PEG. It employs a lop-BP decoding method over noise channels based on the Tanner graph for decoding and deploys the optimized algorithm on FPGA to enhance performance.
Design of an intelligent livestock transport vehicle to improve livestock welfare
Authors: Zhang Lijuan , Chen Huijiang
Published: June 2024

Aiming at the problems such as poor transport environment and physical stress caused by harsh environment during long-distance transport of livestock, an intelligent livestock transport vehicle was designed to improve the welfare of livestock transport. The sensor installed in the carriage of the transport vehicle enables the on-board personnel to monitor the environment of the carriage in real time. Through humidifier, dehumidifier, refrigerator, oxygen generator to timely control the environment of the carriage. The intelligent transport vehicle improves the welfare of livestock, ensures the environmental protection and convenience in the transportation process, and improves the intelligent degree of livestock transport vehicles.
Zhenlong Specialty Financial Fraud Analysis and Thinking
Authors: Xie Siyi
Published: June 2024

In recent years, many companies through IPO, want to obtain huge economic benefits in a short period of time, but many do not meet the standards of listed companies trying to achieve the purpose of listing through some financial fraud, at the same time, certified public accountants also failed to effectively control of IPO audit business, often IPO audit failure, in the long run, will make investors doubt the capital market and professional certified public accountants. This paper takes the financial fraud incident of Zhenlong specialty products published in 2016 as an example, analyzes the reasons for financial fraud, then reflects on financial fraud from the perspective of business ethics and professional ethics of accountants, and analyzes the existing deficiencies from the perspectives of internal accountants and auditors, and finally puts forward corresponding suggestions.
"Buddha- like Youth": A Study on the "Buddha- like" Cognition an Cultural Representation of Young People
Authors: Cui Haojie , Dai Yutong , Shang Liyu , Li Lingyu , Hua Peiqi , Fu Rongjin
Published: June 2024

In recent years, "Buddha-like" has become a buzzword. According to one study, the search popularity of "Buddha-like" on WeChat is as high as 30 million indexes. Chinese teenagers are joining the "Buddha-like" craze. It is worth noting that a large number of studies have concluded that the concept of "Buddha-like" has always been closely associated with negative factors. This paper attempts to explore the perception and cultural representation of "Buddha-like" in the adolescents through qualitative and quantitative research methods, in order to further answer why "Buddha-like" has become a negative and negative "cultural precultural representation".
A Study of Content Consumption and Information Interaction Based on Emerging Media
Authors: Feng Wenyan
Published: June 2024

With the convergence and interweaving of attention economy and communication focus, the hot media, as a means of transporting and understanding meanings without the need to mobilise multiple senses, is gradually breaking down the traditional communication boundaries and framework limitations. This paper strategically analyses the practices of content consumption and information interaction in emerging media from the perspective of "media ecological niche" theory. Taking Netease Cloud Music's "time-limited advertisement viewing" and "click-and-skip membership service" as the starting point and combining the concepts of cross-platform product operation cost and user group overlap, the paper points out that media products need to be constructed in the context of production. It is pointed out that media products need to shift the focus on human values, emotional realisation and consumer relations in the production construction, so as to realise the true symbiosis and mutual compatibility of discourse output and value derivation under the convergence ecology.
Time Series Analysis on Monthly Beer Production in Australia
Authors: Xu Nuolai
Published: June 2024

Despite Australia's high enthusiasm for beer consumption, domestic beer production falls short of meeting the demand, creating business opportunities for potential investors. In this research, the method Seasonal Autoregressive Integrated Moving Average (SARIMA) model is used to analyze a historical beer production data in Australia from January 1956 to December 1994 in each month. The optimal SARIMA model is identified through a rigorous process involving time series conversion, seasonal component removal, and data differencing to address non-stationarity. Residual analysis confirms the model's effectiveness. By dividing the dataset into training and test sets, the SARIMA model forecasts the next 24 periods, providing valuable insights for potential investors seeking optimal entry points into Australia's beer market. Results reveal a notable upward trajectory in monthly beer production, highlighting untapped growth potential within the domestic beer industry. The study's findings not only contribute to forecasting future production trends but also offer strategic guidance for investors, shedding light on sustained growth prospects in the Australian beer market.
Analysis of the Impact of the United States' Decoupling of Trade with China on the Global Value Chain Division of China's Mechanical and Electrical Industry
Authors: Zhou Fangyi
Published: June 2024

This article matches the cases of China US trade frictions to various sub sectors of the electromechanical industry, considers the comparative advantage index of heterogeneous product quality, and uses regression analysis to simulate different scenarios of tariffs. It directly affects the participation of Chinese electromechanical products in the global value chain division of labor, and provides reasonable suggestions for maintaining the comparative advantage position of the electromechanical industry in the global division of labor. The conclusion of this article is as follows: 1. The decoupling and chain breaking measures taken by the United States towards China have had an impact on China's global value chain division of labor in the electromechanical industry, and overall have suppressed its comparative advantage position; 2. The decoupling and chain breaking measures have a more significant impact on the global value chain division of labor in the electromechanical industry in recent times; 3. It is suggested to timely promote measures to extend, strengthen, and supplement the supply chain, and build a unified national factor market to mitigate the negative impact of the United States' decoupling and block chain measures.
Research on the Blocking Mechanism of The Poverty-stricken Population in Dabie Mountain Area Under the Guidance of Rural Revitalization Strategy
Authors: Wen Yiran
Published: June 2024

At present, China is in an important period of consolidating and expanding the achievements of poverty alleviation and effectively connecting rural revitalization, rural revitalization and poverty alleviation are complementary to each other, and it is necessary to further improve cognition, transform thinking, strengthen services, change concepts and take the initiative in poverty alleviation, and help the comprehensive revitalization and development of rural areas. This project takes the poor population in Dabie Mountain area, a contiguously impoverished area, as the research object. Through data collection and case analysis, the reasons behind their poverty alleviation and return to poverty are deeply explored, and the factors leading to the return of poverty alleviation in Dabie Mountain area are analyzed by combining the results of field and online questionnaires. To explore the radiation effect of natural disasters, road restrictions, education level and poverty alleviation foundation on the poverty-alleviation population in Dabie Mountain area, establish a mechanism to block the poverty-alleviation of the poverty-alleviation population in Dabie Mountain area under the rural revitalization strategy, provide reference and reference for the poverty-alleviation measures in Anhui province and other regions, and generate new driving force for poverty alleviation and rural revitalization.
Preface: 2nd International Conference on Mathematical Modeling, Electronic Information and Algorithm Analysis (ICMEA 2024)
Authors: Bartholomew Pamela , Xu Hui
Published: June 2024

The 2024 2nd International Conference on Mathematical Modeling, Electronic Information and Algorithm Analysis (ICMEA 2024) is a scientific conference, which was held during April 06-07, 2024 in Berlin, Germany. The conference is an international forum for the presentation of technological advances and research results in the fields of mathematical modeling, optoelectronic technology, signal processing, electronic information, algorithm analysis, and computer simulation. The conference will bring together leading researchers, engineers, and scientists in the domain of interest from around the world.
ICMEA 2024 is an opportunity for PhD students in this area to moot their dissertation works to a global audience. The key intention of this seminar is to provide opportunity for the global participants to share their ideas and experience in person with their peers expected to join from different parts of the world. This event also provides an opportunity for researchers in related fields to explore the research conducted by their colleagues in other places and to present their research findings.
Best regards,
ICMEA Conference Committees
Berlin, Germany
Involvement of Physical Education Teachers in Community Sport as Public Service
Authors: Wei Min , Chang Liza
Published: June 2024

Community sports are instrumental in strengthening communities because sports are recognized as a valuable tool in fostering developmental experiences with other positive effects to communities. The study investigated the development of community sports as a means for physical education (PE) teachers in China to serve their community. This study was significant in bridging the missing research evidence on the effectivity of community sports and in supporting China’s sports development mission. Using descriptive-comparative-correlational approach, the study surveyed 308 PE general teachers who were mostly female aged 24 years old with 3 years teaching experience. Based on the results, the PE teachers slightly consider involvement in public service in terms of community recreation which indicated that watching local sports leagues can be an opportunity for them not only to share their knowledge in local sports, but also to lead the community members to be involve in local sports for physical and mental health. This study concluded that the PE teachers recognized community sports as satisfactory in providing the recreational development through the helpfulness of sports/pool attendants, community;  community development through involvement of residents and members of the community regardless of age, status, and gender, consisting of team games engaging to the sporting participants and the public, consisting of soft motor activities that strengthen the bonds between members and promoting volunteerism among members; educational development through underlining the fact of sports in encouraging wellbeing through free seminars; and health development through assessing the physical health of the players joining the sports community program.  Thus, a basis or guideline for community-based sports was suggested, which can be developed and implemented to promote and enhance the level of involvement in the community among PE teachers as the output of the study.