bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on optimization model based on multi-beam sounding technology
Authors: He Zhenyu , Li Genghao , Niu Fuwei
Published: January 2024

Multi-beam sounding technology is a technology that can obtain the detailed information of underwater terrain quickly and accurately, and is widely used in the fields of ocean survey, seabed geological survey, underwater engineering construction and so on. In this paper, based on the actual scene of the survey ship, the coverage width of the survey line is divided into the left and right parts. Firstly, the parameter expressions of each section are obtained through geometric relation operation, and the mathematical model of the coverage depth of multi-beam sounding is established. Then, the paper considers the mathematical model of multi-beam sounding coverage width in a rectangular sea area to be measured, when the angle between the direction of the measured line and the normal direction of the seabed slope is β. Finally, this paper designs a set of measuring lines with the shortest measuring length in a rectangular sea area with known area, sea water depth at the center point of the sea area and the open angle of the multi-beam transducer, which can completely cover the whole sea area to be measured, and the overlap rate between adjacent strips can meet 10%~20%. With the help of MATLAB for iterative calculation, we obtain the shortest measuring length of the measuring ship. At the same time, this paper also give a set of measuring beam position distribution table.
Comparative Study of Erasure Code in Distributed Systems and Blockchain
Authors: Xu Yuewen
Published: January 2024

As the data generated by various applications continues to grow exponentially, the need for efficient methods of storage and transmission increases. Erasure codes offer a promising solution by providing redundant information without completely recreating the data. Although erasure codes have been extensively studied, their integration and effectiveness in distributed systems and blockchain networks are still being explored. This paper explores and compares the foundations and applications of erasure codes in distributed systems and blockchain networks, and provides a comprehensive literature review of erasure code implementations and their impact on data storage and transmission. This study explores the foundations of erasure codes in distributed systems, including array and RS codes, and LDPC codes. The study also explores the use of erasure codes in distributed systems and blockchain and analyzes how these codes can improve the efficiency and scalability of decentralized storage solutions. The study examines the strengths and weaknesses of different erasure codes based on analysis and comparisons. The findings highlight the potential of erasure codes to revolutionize data storage and transmission in distributed systems and blockchain networks.
Comparative Analysis of Three Semiconductor Technology Companies
Authors: Ni HaiMing
Published: January 2024

This paper presents a meticulous financial analysis of Nvidia, Intel, and Texas Instruments, three leading companies in the semiconductor industry. And these three companies also operate in different section in the semiconductor industry. The study aims to provide insights into effective investment strategies of these companies. The investigation encompasses an analysis of recent financial indicators for these companies like exploring the meaning of various data, along with an exploration of asset selection challenges faced by nine distinct investor profiles including Value, Income, PEG, Index, Ratio analysis, DCF, Momentum, Insider buying and Stock buyback investors. Leveraging established financial models, the research reveals that Index, Momentum, Insider Buying, and Stock Buyback investors are inclined to invest in all three stocks. Additionally, Ratio Analysis and Discounted Cash Flow (DCF) investors are inclined towards investing Texas Instruments. The insights gained from this analysis contribute to the development of tailored investment strategies, ultimately aiming to optimize financial gains within the semiconductor sector.
Immune Infiltration Analysis by TIMER, quanTIseq, and Cibersort
Authors: Zhou Chenling , Fan Shiyu
Published: January 2024

Immune Infiltration analysis is of great significance in cancer research and can provide insight into the activity of the immune system in different disease states. The expression profile analysis of high-throughput sequencing provides a powerful tool for immune cell research, but different methods may lead to different results. This study used a dataset published by Ma et al in August 2023, which included peripheral blood mononuclear cells (PBMCs) from 19 patients with non-small cell lung cancer (NSCLC) and four healthy human donors. This papper used three immune cell estimation methods (TIMER, quanTIseq, and Cibersort) for analysis, and found differential immune cell proportions from the three methods. To accurately determine the proportion of immune cells, this passage weighted the results of the three methods. The results show that the weighted average method can more comprehensively reveal the presence and distribution of different immune cell types. This provides important insights for immunological research and cancer treatment, underscoring the importance of integrating multiple analytical approaches.
The Effect of Crown of Thorns Starfish on the Great Barrier Reef
Authors: Zhang Adam
Published: January 2024

Invasive species are normally defined as creatures with high reproduction rates and few natural predators. Their existence in an ecosystem can destroy an entire food chain by overconsumption of a particular population due to their vast numbers. This paper explores the effects the crown of thorns starfish has had on the great barrier reef in the past and the present such as its effects on the ecosystem and impact on human lives. The paper also explores patterns regarding climate change and other human impacts and how that may affect the growth of the crown of thorns. Finally, this paper covers and evaluates the proposed solutions to combat the starfish by weighing their feasibility and how well they could work if they were put into practice. The purpose of this paper is to understand how the crown of thorns is a threat to the great barrier reef and possible methods to combat it.
Vegetable Price and Supply Forecast based on the Taboo Search Slgorithm
Authors: Wang Yawen , Qian Mengmeng
Published: January 2024

Vegetables, as an indispensable consumer goods in the daily life of consumers, their price and supply have a great impact on the sellers, urban and rural residents and the whole country. In this paper, the sales flow and loss of 251 vegetables in a supermarket within three years are selected as the test data. On the basis of the analysis of the historical sales volume, price and loss data of vegetables, the vegetable price and supply prediction model based on the taboo search algorithm is put forward from the perspective of sellers. First of all, according to the recent sales data, the average daily average sales volume of various single products is obtained, and the varieties that meet the display demand are determined as available varieties, and 36 available varieties are obtained. Further use of 0-1 planning to determine 27-33 available varieties. The linear regression was used to analyze the relationship between the price of each item and obtain the linear regression equation. Significance analysis of the equations showed a high degree of fit. Finally, with the benefit as the objective function, the optimization model is established combined with the above constraints and solved using the taboo search method. The results of the model solution show that under the constraints, the maximum revenue of July 1 is 1787.61 yuan, and the replenishment quantity and pricing of 28 single products sold at this time can be obtained. Finally, the reliability of the model was further tested by using the time-series prediction. This paper can not only effectively predict the price and sales volume of vegetables, but also formulate reasonable vegetable replenishment and pricing strategies for the sellers, but also has important guiding significance for the sales of other commodities.
Flutter Phenomenon and Safety Implications in Transonic Flow
Authors: Feng Zihan
Published: January 2024

As advancements in aircraft manufacturing technology persistently elevate the boundaries of flight speed, challenges emerge when aircraft velocities verge on sonic speeds. Notably, empirical observations have highlighted instances of pronounced vibrations and, in extreme cases, structural failures, casting shadows over flight stability and safety. This research endeavors to dissect the ramifications of shock waves and flutter phenomena, precipitated by fluid discontinuities during supersonic flight, on the overarching safety of aircraft. Methodologically, the study delineates a series of simulation protocols, commencing with the derivation of simplified functions representing the aircraft's 2D contour, followed by error function computations, and finally, using the finite difference method in conjunction with the successive over-relaxation (SOR) iterative technique to model the aircraft's velocity distribution. Preliminary findings indicate that for β values spanning 0.1, 0.15, and 0.175, the surrounding airflow retains its continuity and stability, with the Mach number's rate of change exhibiting a decelerating trend. Conversely, at a β threshold of 0.2, the airflow descends into turbulence, manifesting in erratic Mach number fluctuations. Such fluidic discontinuities underscore potential threats to the aircraft's flight safety, necessitating further exploration and mitigation strategies.
Trend-Enhanced Improved Bollinger Bands Trend-Following High-Frequency Trading Strategy for Futures Market
Authors: Gong Lingyue , Gong Weihao , Luo Jiani , Yang Rongze
Published: January 2024

The application of digital scientific technologies in the global financial markets has become widespread, which has led to the prevalence of the concept of quantitative trading. Among various quantitative trading strategies, high-frequency trading has gained significant popularity. In this study, we propose an improved Bollinger Bands trend-following high-frequency trading strategy based on trend enhancement. Instead of using the simple moving average (SMA), we replace it with the exponential moving average (EMA). Furthermore, we introduce a 3-times average true range (ATR) limit price rebound exit system to achieve timely profit-taking and stop-loss. By incorporating trend measurement indicators such as the average directional index (ADX), moving average convergence divergence (MACD), and commodity channel index (CCI), we determine the futures trend. Subsequently, this study formulates suitable parameters for the high-frequency trading strategy and conduct backtesting on the 2022 CSI 300 stock index futures, resulting in a remarkably high annualized return. These results present a novel approach to high-frequency trading strategy and provide valuable insights for the market.
National Basketball Association Salary Prediction: A Data-Driven Linear Regression Analysis
Authors: Zhang Jiahe
Published: January 2024

National Basketball Association (also known as NBA which will be used as an abbreviation throughout this essay) as one of the few most successful professional sports leagues in the world, it has been well known by the fierce physical competition among the most talented and competitive players in the realm of basketball. However, there is something else to discover behind the dazzling crossovers and sensational clutches, hidden in the reflection on the O 'Brien Cup, for example, the salary. This essay will be discussing the prediction on NBA players’ salary using multiple supervised machine learning algorithms based on a dataset of players’ on-court data and achievements, aiming for an objective result that can be used for both prediction and evaluation of players’ contracts. The result of this essay reveals which specific variables are useful for predicting players’ salary.
Application of Artificial Intelligence Technology in Bridge Construction and Maintenance
Authors: Lu Junchen
Published: January 2024

Artificial intelligence (AI) can extract valuable information from analyzing and learning among large amounts of data from bridge. In recent years, the researches and applications of AI in the field of bridge construction and maintenance are gradually increasing with the development of AI. This paper aims to summarize the application of AI in bridge construction and maintenance in recent years. Results show that AI technology can simulate and predict materials and construction scheme and promote the development of material science. In terms of intelligent detection, AI enables automated, efficient, and precise bridge inspection through technologies like visual machines and deep learning. Furthermore, in the realm of intelligent disaster prevention, early warning systems for potential bridge disasters can be achieved via big data analysis and predictive models. In the future, the design, construction and maintenance of Bridges will be increasingly combined with AI technologies, thus making the construction and management of Bridges more information-based and intelligent.
Approximate global illumination using photon mapping: A review
Authors: Ding Haochen
Published: January 2024

This paper introduces the two-step process of the standard photon mapping algorithm and a variety of other global biased illumination algorithms using photon mapping that have been proposed in recent years. Since there are many global biased illumination algorithms based on photon mapping, this review is a combination of these algorithms for the convenience of the reader, and the two-step process of standard PM will also be presented in this review to accommodate readers who are not familiar with the field.  We will first introduce the specific implementation process and principles based on the two steps of PM, photon tracking and rendering, and then introduce a variety of polarized illumination techniques using photon maps, compare these methods and discuss the advantages, disadvantages, and applicability of each method in detail, and finally give a specific implementation of each method to give readers a clearer understanding of these methods. The final implementation of each method is shown to give the reader a clearer understanding of these methods.
Combined Oral Contraceptives (COCs) Management on symptoms of Polycystic Ovary Syndrom: A Systematic Review
Authors: Jia Siqi
Published: January 2024

Polycystic Ovary Syndrom (PCOS) has been proved could affect the health of reproductive-aged patients from the physically and emotionally, becoming a major concern of international public health. Meanwhile, PCOS is considered as associated with various severe symptoms, among which infertility is the most of those. The literature argues combined oral contraceptives (COCs) are the first-line treatment modality for PCOS. However, the link between COCs and the symptoms management of PCOS should be bridged. Purpose: This study aims to conduct a systematic review to evaluate the impact of intaking COCs on the management of all relevant symptoms. Method: This review will adhere to the JBI SUMARI guidelines for systematic reviews, and the search method is built to give access to both published and unpublished research. For searching recently released publications, databases like CINAHL plus (EBSCOhost), PubMed, Ovid Emcare, Ovid MEDLINE, and Scopus (Elsevier) are available. Quantitative studies published in English within the last 10 years are intended to be included in the system review. Outcomes: The outcome will present a clear proof between COCs treatment and PCOS symptoms management, including hirsutism, acne, menstrual irregularity and infertility. It could be as the evidence for surgical nurse provide further interventions, which are more tailored and effective, for specific PCOS patients.
Innovative Numerical Method to Partially Solve the Airfoil Flow
Authors: He Siyuan
Published: January 2024

With the meteoric rise of modern computer science, computational fluid dynamics (CFD) has evolved into a formidable tool adept at addressing multifaceted challenges across diverse domains. Historically, CFD's maiden application was in the aviation sector, aimed at refining the aerodynamic contours of airfoils. Fast forward several decades and its deployment in this arena has reached unparalleled sophistication. This paper harnesses numerical methodologies within CFD to decipher flow dynamics around an airfoil. Central to this exploration is the small disturbance equation, a derivative of the full potential equation. The study meticulously discretizes this equation using advanced mathematical techniques. Furthermore, boundary conditions, namely the wall side and Neumann, are judiciously employed to ascertain boundary point values. Leveraging Python-based iterations, we derive numerical solutions for streamlining patterns and Mach number contours. A rigorous error analysis affirms the validity and efficacy of our results. While the study acknowledges certain inherent limitations, the findings compellingly delineate the flow characteristics around the airfoil in both subsonic and supersonic scenarios, offering valuable insights for future aerodynamic endeavors.
A Financial Analysis on Kweichow Moutai
Authors: Pan Yiduo
Published: January 2024

Baijiu has always been a beloved and enduringly popular beverage in China, with Kweichow Moutai standing as a leader in the Chinese Baijiu industry. To assess the company comprehensively, an in-depth financial analysis is warranted. This study delved into three critical aspects disclosed in Kweichow Moutai's annual report - revenue recognition, fixed assets, and construction in progress - to evaluate the reasonableness of the company's accounting practices. Moreover, an exploration of the company's market performance was conducted by calculating the key financial indicators within four domains: liquidity, solvency, profitability, and investment analysis. While Kweichow Moutai exhibits some slight accounting deficiencies, the overall accounting practices remain clear and compliant with international standards. Furthermore, the company's market performance is highly favorable. Combined with insights from leading research institutions, the study concludes that Kweichow Moutai stands as an attractive investment option, supported by its impressive market performance and compliance with established accounting norms.
Does the government finance its own spending by taxing the population or relying on newly created funds from the central bank?
Authors: Liu Jihong
Published: January 2024

In reality, a government funds its own expenditure mainly by taxation, borrowings, and fees and charges. Additional sources of government revenue include seigniorage, natural resource revenues, and foreign aid and grants. The specific mix of revenue sources and their relative importance varies from one government to another based on factors such as the country’s economic structure, tax policies, natural resources, and external financial assistance. Suppose a government ends taxing and funds its own expenditure purely by borrowings. In that case, it may lead to an inefficient market, a turbulent economy, social and economic inequality, and reduced social productivity and welfare.
Application Research of Tool Stability Based on Bayesian Theory
Authors: Tian Liu
Published: January 2024

Due to high precision requirements and high machining value, the high-end aerospace manufacturing industry has put forward higher requirements for the stability of machining tools. In this paper, the Bayesian algorithm is used to obtain sample information through experiments, and the sample information and prior information are effectively fused to estimate the parameters. Finally, the stability of a domestic blade can be improved by 8.76%.
Stock Price Prediction of High-tech Industry Based on LSTM and GRU: Tesla, Ferrari, and Walmart
Authors: Wan Xiuyi
Published: January 2024

Stock price prediction has long been a critical area of focus both in the academic realm and in the practical world of finance, largely due to its direct influence on investment decisions and market dynamics. This study will specifically exam the stock prices of Tesla, Ferrari, and Walmart using advanced machine learning models, LSTM and GRU. Utilizing a rich dataset that spans several years, the study employs meticulous data preprocessing and feature engineering techniques, including the incorporation of external variables such as news sentiment and trading volume, to enhance prediction accuracy. Based on the results, the LSTM model outperforms the GRU model in accurately predicting the stock prices of Tesla and Walmart, while the GRU model shows a slight edge in forecasting Ferrari's stock prices. Furthermore, one finds that the inclusion of external features like news sentiment and trading volume considerably augments the predictive power of both LSTM and GRU models. These findings not only contribute to the knowledge hierarchy by providing a comparative analysis of LSTM and GRU in the context of the high-tech industry but also offer practical insights for investors, market analysts, and policymakers. The study serves as a robust framework for stock price prediction in volatile sectors and underscores the potential of integrating machine learning algorithms with feature engineering to achieve superior predictive performance.
Application And Challenges of Alphazero Algorithm in Chinese Chess
Authors: Li Xiaxi
Published: January 2024

In the field of artificial intelligence, AlphaZero has achieved significant success in games like Go and Shogi. However, its application in Chinese Chess remains relatively unexplored. This study aims to unveil the potential and limitations of AlphaZero in Chinese Chess and explore strategies for optimizing its performance. In this paper, we begin by reviewing the fundamental principles and algorithmic structure of AlphaZero, emphasizing its deep reinforcement learning and self-play characteristics. Subsequently, we delve into the specific application of AlphaZero in Chinese Chess, encompassing aspects such as chess rule representation, training procedures, position evaluation, and strategy prediction. By analyzing successful instances of AlphaZero in Chinese Chess, we showcase its potential in the domain of board games. Furthermore, this paper elucidates the challenges that AlphaZero encounters in the context of Chinese Chess, including issues related to computational complexity and position representation. We particularly underscore the potential cost escalation due to high computational resource requirements and the risk of data loss or excessive time consumption associated with extended computation periods. IN conclusion, this research provides valuable insights into the application of AlphaZero in the realm of Chinese Chess and offers recommendations for future research directions to further expand its utility in this domain.
The Impact of Independent Directorship on Business Performance in China: Empirical Study on SSE Listed Firms
Authors: Cao Tianju
Published: January 2024

In an effort to enhance the influence of independent directors within the framework of corporate governance, the China Securities Regulatory Commission (CSRC) has recently introduced revised regulations pertaining to independent directorship in August 2023. This regulatory adjustment signifies a pivotal step towards bolstering Chinese-specific corporate governance. This research endeavors to delve into the potential impact of independent directorship on business performance within mainland China's corporate landscape. This study harnesses data from publicly traded companies on the Shanghai Stock Exchange (SSE) in conjunction with panel data analysis and Ordinary Least Squares (OLS) regression to build empirical models. It is noteworthy that the initial results indicate a favorable connection between independent directorship and business performance. It has been demonstrated that having more independent directors is connected with better corporate profitability. Against the backdrop of the newly implemented regulatory reforms concerning independent directors, this study is poised to make a substantive contribution to the ongoing discourse on corporate governance and its ramifications for business performance in China. As these revised regulations usher in a renewed emphasis on independent directorship, this research's insights hold significant relevance for both practitioners and policymakers navigating the evolving corporate governance landscape.
Therapeutic Vaccines for Ovarian Cancer
Authors: Wang Xinming
Published: January 2024

Ovarian cancer is widely recognized as one of the most aggressive gynecological malignancies. Chemotherapy based on platinum and maintenance therapy following surgery are the cornerstones of treatment for ovarian cancer. However, early detection of ovarian cancer is difficult, frequently resulting in metastasis at the time of diagnosis, which impacts the efficacy of surgical interventions, leading to elevated rates of recurrence and a bleak prognosis. Immunotherapy has demonstrated the potential for improved treatment of ovarian cancer. Currently, cancer vaccines represent a significant immunotherapeutic approach. Cancer vaccines are a therapeutic approach designed to activate the patient's immune system to target and eliminate cancer cells. These vaccines can include tumor antigens, antibodies, cytokines, etc. to stimulate and initiate an immune response against the tumor. In this review, I provided an overview of past research progress in different therapeutic vaccines for ovarian cancer, including their mechanisms of action and advancements in preclinical and translational studies.
Alibaba Group’s Business Strategy Impact Research
Authors: Yin Haojing
Published: January 2024

In recent years, China's Internet industry has developed rapidly, with the emergence of many e-commerce platforms and Internet giants with large user scale, such as Alibaba Group. It has created several e-commerce platforms and has many subsidiaries. A subsidiary is a company in which Alibaba Group owns shares and actually controls. Alibaba's e-commerce platforms mainly implement Business to business and consumer to consumer model. It changed the way people shop and live. Alibaba Group is also linked to a number of businesses, and it has changed the way people pay. This paper mainly studies the impact of Alibaba Group's business strategy, firstly understanding the background of Alibaba Group, secondly, analyzing Alibaba Group's business strategy, in addition, a brief study of the drawbacks of Alibaba Group's business strategy, and put forward suggestions for improvement. Alibaba Group has a good business model and international vision, so the study of Alibaba Group's business strategy has important reference significance for the global Internet industry.
Financial Impact Analysis of the Restructuring and Listing of State-Owned Enterprises
Authors: Wu Shiqi
Published: January 2024

In the rapidly evolving economic landscape, State-Owned Enterprises (SOEs) stand as prominent pillars, with their restructuring and listing being pivotal to both their development and the broader economic progression. This study delves into the financial impacts of restructuring and listing on three prominent Chinese SOEs: CNPC Capital, China Energy Construction, and China Communications Construction. The findings reveal significant growth in assets and liabilities, with a noticeable uptrend in net profits for all entities post-restructuring. The year-end cash balances exhibited a consistent upward trajectory, suggesting enhanced liquidity and operational efficiency. Additionally, the Earnings Per Share (EPS) analysis illustrated distinct trajectories for each SOE, highlighting the nuanced financial outcomes of their strategic decisions. These findings underscore the potential of SOEs to harness capital market access, strategic realignment, and operational optimization to drive financial and operational efficiency, emphasizing the importance of such endeavors in aligning SOEs with global market standards and bolstering economic competitiveness. This comprehensive analysis underscores the multifaceted financial benefits of restructuring and listing for SOEs, shedding light on their role in fostering economic development and market dynamism.
Comparison And Selection of Commonly Used Communication Protocols in Measurement and Control Instruments
Authors: Zhuang Chenyu
Published: January 2024

In the contemporary landscape of economic globalization, the salience of the field of measurement and control has progressively intensified. Simultaneously, the utilization of serial bus technology within instrumentation has witnessed a considerable proliferation. Consequently, the judicious selection of an appropriate serial bus protocol has assumed paramount importance. It is incumbent upon practitioners to consider diverse factors, including the communication principles, performance attributes, and interfacing requirements, when making their choice, to ensure the efficacious and stable operation of their systems. This investigation employs a methodology that amalgamates a comprehensive literature review with experimental comparative analyses to ascertain the optimal suitability of Universal Asynchronous Receiver/Transmitter (UART), Inter-Integrated Circuit (I2C), and Serial Peripheral Interface (SPI) communication protocols across distinct application scenarios. Subsequent to a thorough comparative scrutiny, this study ultimately elucidates the respective merits and demerits of the UART, I2C, and SPI communication protocols, in tandem with their most judicious application contexts. This research endeavor serves to furnish engineers with valuable insights for the judicious selection of serial bus protocols.
Analysis of High-frequency Occurrence Areas of Beijing Taxis based on the K-means Method
Authors: Xu Yingqi
Published: January 2024

As the economy grows and of the pace of life accelerates, travelling by taxi has gradually become one of the most convenient and fastest choices for residents to go out. However, because of the randomness of people's travelling and the mobility of taxi driving, there exist an imbalance between the travelling demand of regional taxi users and the supply of taxis. In order to avoid the problem of uneven distribution of taxis and to achieve accurate prediction of taxi demand, this paper selects the vehicle number, latitude and longitude, and carrying status data of Beijing taxis as the basis of the study, and researches to explore the spatial distribution characteristics of the travelling demand of taxi users. The main contents of the paper are as follows. First of all, this paper initializes the GPS data of taxis, and obtains the boarding and alighting locations. The distribution of taxi regional travel demand is described by using K-means clustering method. Finally, the paper shows five high frequency locations. It is of great significance for taxi dispatching management, reducing empty rate, saving energy consumption and maximizing passenger travel demand.
Research on Multibeam Line Measurement Problem Based on Iterative Algorithms
Authors: Shi Xinrong , Zhang Xiangrui , Zan Jinjin
Published: January 2024

With the continuous advancement of marine resource development, an efficient and reasonable multi beam acoustic survey line design scheme is crucial for accurate sea area measurement. Firstly, in order to make the model closer to the actual complex scene, a three-dimensional coverage model was derived that comprehensively considers the relative angle between the measurement line and the normal direction of the seabed terrain slope projected on the horizontal plane, referring to the three-dimensional sound beam propagation characteristics of multi beam sound waves. Then, based on the working principle and geometric relationship of multi beam recording, a formula for calculating the recording coverage width under multi-directional slope conditions considering measurement equipment parameters was derived, and an expression for the overlap rate of adjacent measurement lines was given. In addition, different measurement lines and slope normal direction angles . Finally, based on the actual sea area situation of the rectangular area within the specific given range, iteratively traverse and set different combinations of survey lines, calculate the total length of the combination and the corresponding coverage area, and calculate the coverage rate. Select the survey line combination with the shortest total length and the highest coverage rate as the optimal solution. This article focuses on the design of multi beam acoustic survey lines and establishes a universal mathematical model to achieve optimization solutions in different practical scenarios.
Comparing Similarity And Difference between Two Local Anesthetics, Lidocaine And Procaine
Authors: Chen Xijing , Yuan Ming
Published: January 2024

Amide type lidocaine and lipid type procaine are important anesthetics. In fact, they not only solve the problem of overused opioids, but also stimulate the invention of local anesthetic operations, which both declines the time of surgery and limits the possible damage of general anesthetics to patients’ bodies. But these two anesthetics also have their different target diseases, mechanisms, and side effects. For example, lidocaine is not only used for analgesic in dental and skin surgery operations, but also maintain the welfare of patients, who stay in the hospital waiting for recovery, by limiting the pain they could feel from their chronic illness. Actually, procaine has antiatherogenic effects, also multiple target sites which could provide some protection for the old while using. Besides, based on the fact that these chemicals come from different groups, amide type and lipid type, their mechanisms causing anesthetic effects could also be different, which would be introduced in the following context.
Transnational Trade Risks of Chinese Small and Medium-Sized Enterprises and Solutions After the Covid-19
Authors: Liu Runlin
Published: January 2024

Within the context of economic globalization, Chinese enterprises affected by the COVID-19 face a number of difficulties in cross-border trade. Small and medium-sized enterprises (SMEs) play a substantial role in china's economy. These enterprises account for more than 60% of the total GDP, around 50% of the tax revenue generated, create over 79% of employment opportunities, and contribute to approximately 68% of the whole export volume. With the onset of the epidemic, the viability and progress of China's small and medium-sized firms face a significant risk, so causing a further threat to the overall economic advancement of China. Based on previous studies on Chinese SMEs' foreign trade, this paper narrows the time frame of the study to the period between the epidemic and the post-epidemic period, analyses in detail the cross-border trade risks faced by Chinese SMEs from the perspectives of supply and demand, business operations, product price competitiveness and innovation level, and provides relevant measures to address these risks, such as strengthening cooperation among allied countries, enhancing the government's supportive role, utilizing financial instruments to hedge trade risks, and enhancing the innovation capacity of enterprises. By analyzing the foreign trade risks faced by Chinese SMEs in the post epidemic context, SMEs can make more improvements in production, operation, management and innovation. Therefore, these small and medium-sized enterprises can create more value and achieve sustainable development.
Compare Three Types of Surgery for Meniscal Tears
Authors: Si Pengyuan
Published: January 2024

Meniscus injuries, often associated with sports, have become a growing concern because of their potential to affect patients’ knee joints and, thus, People’s Daily lives. A meniscal tear is a half-moon-shaped fibrous cartilage structure in the knee joint. This article explores the meniscus’s complex anatomical structure and biochemistry, emphasizing its critical importance in maintaining optimal knee function. Our discussion extends to modern diagnostic procedures, particularly emphasizing the direct visualization capabilities of non-invasive magnetic resonance imaging (MRI) and arthroscopy. In addition, this paper lists three major surgical interventions for meniscus injuries: Meniscus repair, which aims to preserve the natural meniscus; Meniscectomy, the removal of the damaged meniscus; and Meniscus replacement using biological grafts or innovative synthetic materials. While meniscectomy can provide quick relief from symptoms, it carries the potential threat of diseases such as osteoarthritis in the long run. In contrast, meniscus repair and replacement strategies are longer-lasting treatment options, although postoperative recovery times and the complexity of the procedure vary.
Research on Dividend Distribution Policies of Listed Companies in China's E-commerce Industry-Taking Focus Technology as an Example
Authors: Wang Xiran
Published: January 2024

Scientific and reasonable dividend distribution policy is of great significance for the future development of the company. By analyzing the dividend distribution of Focus Technology Co., Ltd, this paper evaluates the dividend distribution policy of Focus Technology from the influencing factors of the two major dividend distribution policies, namely, profitability and development stage. In the process of research, it is found that the dividend distribution of listed companies in China has the problems of a single form of dividend distribution and poor stability of payment. In view of these problems, the author puts forward countermeasures such as enriching the dividend payment methods and improving the corporate governance structure. This paper hopes this paper can play a certain role in promoting the research of dividend distribution policies of related companies.
Study on the Current Situation of China's Tourism Development in the Post-Epidemic Era
Authors: Fan Fengxuan , Yin Renhao , Zha Xiaoan
Published: January 2024

In China, along with the development of the national economy and the increase in people's demand for spirit, tourism has developed as a new industry. Despite its late start, it has taken its place in the market economy along with the continuous leap of the national economy, thanks to its rapid development and the number of tourists breaking new heights. Pursuing the human spirit has no boundaries, and the enhancement of the spirit is never-ending. However, after the New Crown Pneumonia epidemic outbreak, countries worldwide gradually took measures against the epidemic, and the pause button was pressed on the global movement of people. The number of tourist trips dropped significantly, and tourism revenues needed higher. However, under China's strict control, the country has entered the post-epidemic era, with a rapid economic and social recovery and a gradual return to pre-epidemic levels. The tourism industry is recovering and gradually moving towards high-quality development. This paper takes the rapid recovery and development transformation of the tourism industry as the theme, combines the current situation of China's tourism development, analyses the impact of the New Crown Epidemic on China's tourism industry, thoroughly analyses the development trend of the tourism industry in the post epidemic era, and puts forward the strategies for the sustainable development of China's tourism industry in the post epidemic era: Seizing the opportunities of tourism development, innovating the tourism model, and effectively utilizing the online tourism to achieve the depth of combination of online upstream, online and downstream.
Industrial Chain Correlation and Total Factor Productivity
Authors: Zhang Haoya
Published: January 2024

As a matter of fact, the total factor productivity, as a crucial metric for measuring the speed and quality of output in enterprises, plays a vital role in optimizing resource allocation and fostering the synergistic development of industries especially in recent years. With this in mind, this paper studies and investigates how the degree of industrial chain correlation affects the total factor productivity. By using the methods of benchmark regression analysis, robustness test, heterogeneity analysis and quantile regression, the empirical findings indicate that the impact of industrial chain connectivity on enterprise total factor productivity follows a "U"-shaped distribution and remains robust. Furthermore, its influence varies among enterprises with different ownership structures as well as production factor intensities according to the analysis. At the same time, the panel quantile regression reveals that the effect of industrial chain connectivity on enterprise total factor productivity differs across firms with varying levels of total factor productivity.
The Research of Virtual Reality Technology on Application and Competition
Authors: Li Haokun
Published: January 2024

From 1929, Edwin Link created a flight simulator, to today's PICO4 virtual reality all-in-one machine. From the first attempt at virtual reality technology, to now China's domestic PICO company has developed a new VR all-in-one machine. This is undoubtedly a huge step forward. In the virtual reality technology industry, in addition to China's PICO company, the world also has Meta's brand Oculus, Valve Corporation and others leading the development of the virtual reality industry. Oculus has the largest market. Here, by comparing the development of virtual reality technology and product research and development of different companies, this paper studies the development of the virtual reality technology industry today and gives suggestions on what aspects businesses should continue to consider improving in the future. Observing the development of virtual reality technology from the perspective of a consumer not only helps other consumers better understand the advantages of virtual reality technology but also gives creators suggestions on how to satisfy consumers.
Research on the Multibeam Bathymetry Problem in Uneven Seabeds Based on Computational Geometry
Authors: Li Mingkai , He Haokun , Liu Jiyang
Published: January 2024

The principle of the multibeam seabed bathymetry system involves emitting dozens to hundreds of beams at once in a plane perpendicular to the course, and then receiving the acoustic waves returned by the seabed through the receiving transducer. This paper will study through computational geometry how to calculate information such as seabed depth, survey line coverage width, and the overlap rate between survey lines based on the received information in uneven seabed areas. This study first discusses the special case where the survey line is parallel to the contour line, defining coverage width and overlap rate. It then uses the sine theorem and triangle solving to calculate physical quantities such as seawater depth, coverage width, and overlap rate with the previous survey line when the seabed has a slope. Sensitivity analysis is conducted from three aspects: depth, slope, and opening angle. This research continues to discuss the general case where the survey line is not parallel to the contour line. By first calculating the angle between the intersection line generated by the seabed section detected by the vessel and the seabed slope surface and the horizontal plane, the problem is transformed into the model under the parallel situation to continue the calculation and solve the coverage width. The study of multibeam bathymetry in uneven seabeds using computational geometry enables the application of multibeam bathymetry in uneven seabed areas, providing a simple calculation method for the field of bathymetry in uneven seabeds and expanding the application conditions of multibeam bathymetry.
The Impact of ESG Performance on Corporate Value
Authors: Chen Rouyan
Published: January 2024

As environmental problems have been increasingly serious, the concept of "sustainable development” has gradually taken hold. ESG, which reflects a company's sustainable development capabilities, has become a trend and attracted widespread attention in the academic community. However, there is still a lack of a unified understanding of the specific association between ESG and corporate value. This article analyzes literature in the international financial field related to ESG in recent years and explores the way ESG influences corporate value from the perspectives of impact, influencing mechanism, and heterogeneity. The aim is to provide insights into future research directions in this field. This article found that there are three impacts of ESG performance on corporate value: promotion, inhibition, or irrelevance. ESG performance mainly affects corporate value from four aspects: financing constraints, green innovation, corporate efficiency, and corporate risk. The heterogeneity of ESG performance mainly depends on factors such as property rights, marketization degree, information transmission efficiency, company size, and industry environmental sensitivity. Future research on ESG should be centered on empirical research that examines ESG’s comprehensive influence and regional heterogeneity of ESG performance.
Analysis Report on Qingdao Haier's Acquisition of Candy in Italy
Authors: Huang Yucheng , Lin Huadong , Peng Yuqian , Wu Xintian
Published: January 2024

Since the implementation of economic reforms and opening up, the electricity industry has experienced remarkable growth, capturing an increasingly larger market share on the global stage. In response to this trend, the Chinese government has introduced numerous policies to encourage and support the industry's development. Concurrently, enterprises are recognizing the significance of cross-border cooperation as a means to foster their own progress and gain entry into international markets. Against this backdrop, Qingdao Haier, a telecommunications company, has embarked on several cross-border mergers, achieving notable successes. This article focuses on Qingdao Haier's acquisition of the Italian company Candy, using it as a case study to delve into the background, motivations, and outcomes of mergers and acquisitions between the two entities. By doing so, this study aims to offer valuable insights and inspiration to other Chinese companies seeking to expand their global presence.