bluuebunny/crossref_metadata_2025 huggingface dataset:
Introduction and Applications of the Investment Clock Theory
Authors: Tao Yuexi
Published: January 2024

This paper is based on the broad asset allocation theory proposed by Merrill Lynch & Co. known as the ''Merrill Lynch Investment Clock Theory.'' Further asset allocation optimisation and decision making on the Merrill Lynch Investment Clock Theory, starting with forecasting recessions and inflation, combined with yield curve term spreads and risk premiums. Further, according to the literature, it is found that the term spread, and risk premium indices have good prediction results for recession. But simply considering these is not enough, need to introduce term spreads and risk premiums into the traditional Merrill Lynch investment clock theory to reassemble the financial investment clock portfolio, the principle is to change the traditional division of the economic cycle.
Study of the Transition in Tesla's Pricing Strategy and the Challenges to Profit Margin: An Exploration of Dynamic Equilibrium
Authors: Wang Sihan
Published: January 2024

This research delves into an in-depth exploration of how Tesla strives to strike a balance between adjusting its pricing strategy and maintaining favorable profit margins. Tesla's shifts in pricing strategy have far-reaching implications on the global electric vehicle market. Through a case study approach, the authors dissect how Tesla navigates the trade-offs between price adjustments and profit margin retention, encompassing intricate factors such as cost control, market demand, competitive landscape, and consumer psychology. This study offers a novel perspective for comprehending Tesla's business model, holding practical significance for other electric vehicle manufacturers and investors assessing Tesla's profitability and investment worth.
Research On the Current Problem and Marketing Strategy of Helen’s Market
Authors: Zhu Guancheng
Published: January 2024

The compound growth rate of China’s night and tavern economies has soared in recent years. Many of the famous pub chains have grown extraordinarily fast. The research theme of this paper caters to the general environment of the development of pubs. It analyzes Helens Pub’s marketing strategies and shortcomings and suggests reasonable suggestions. The main problems are the lack of personalized and attractive places to join the stadium and the lack of unified management and standardization of national franchise store staff services. In the face of these two problems, first of all, the research suggests strengthening the management training of personnel to maintain the professionalization of the business team and regularly sending people to evaluate, inspect, and guide the franchise stores in the country. The second point is to reflect personalized services in external marketing and display their unique style in indoor hardware decoration. Online marketing can be strengthened, interaction with customers can be increased, and a series of in-store games and activities can be launched to meet customers’ entertainment needs.
Targets specific to certain Treg cell types in the TME of pancreatic cancer
Authors: Chen Yi
Published: January 2024

The increased content of Treg cells in the pancreatic cancer TME shows the development of pancreatic cancer is largely influenced by treg cells. Regulatory T cells (Treg) have a powerful immune suppression function, under normal circumstances, have the function of maintaining autoimmune tolerance. When Treg cells expressing abnormally in tumor tissue, they can inhibit normal anti-tumor immune response, accelerate the immune escape in tumor cells, promote tumor growth. Meanwhile, Treg can also inhibit tumor growth through anti-inflammatory and anti-angiogenesis routes. Blind killing and inhibition of Treg will destroy the maintenance of the body's self-immune tolerance and cause some damage. In this paper, the duality of Treg cells is summarized through two aspects, including the summary analysis of specific targets on different types of Treg cells in TME to find the targets that can specifically kill immunosuppressive Treg cells; discuss the interactions between Treg cells and their surrounding cells, and their relationship with the duality of Treg cells, in order to provide the basis for reducing damage and optimizing immunotherapy during immunotherapy.
Design Of Charge and Discharge Performance Inspection System for Lead-Acid Battery in Coal Mine
Authors: Li Tongzhe , Zhang Hongkui
Published: January 2024

On the basis of the introduction of coal mine safety production situation and coal mine lead-acid battery, we designed the coal mine lead-acid battery charging and discharging performance inspection system, focusing on the design of the charging or discharging test voltage detection circuit, current detection circuit and IGBT isolation drive circuit, to realize the inspection of the charging and discharging performance , battery capacity and other test items of lead-acid battery in coal mine.
Passenger Flow Prediction of Shenzhen Metro based on ARMA Model
Authors: Zhao Yueyan
Published: January 2024

Due to the speeding up of urbanization and the diversification of urban transport modes, the demand for urban transport in people's lives is also increasing. In order to alleviate the pressure of urban traffic, cities are vigorously developing public transport, especially metro transport. This paper will use the metro card swipe data of the evening peak on 1 September 2018 in Shengzhen, combined with the video recognition technology, to optimize the ARMA-based model to forecast the metro's short-term passenger flow. Based on the above data and methods, this paper takes the change volume of inbound passenger flow from 17:00 to 20:00 as a reference, and conducts research on the metro short-time cross-section passenger flow prediction. It is found that the ARMA-based short-time passenger flow prediction model can provide timely and effective feedback on the changes of patron movement in the waiting area. The short-time cross-section customer flow prediction of metro helps to alleviate the congestion of the peak, improve people's living standard, save the cost of travelling time, and is of practical significance to the urban rail transport operating companies.
Improvements of Autopilot Technology for Electric Vehicle: Case Study of Nio ES8 Crash on Highway
Authors: Qiao Xingjian
Published: January 2024

In recent years, the automotive industry has witnessed a significant surge in the popularity of electric and hybrid vehicles, particularly in the low to mid-level car market, attributed to their robust power output and enhanced comfort levels. Despite their current popularity, the initial introduction of these vehicles met with a tepid reception, largely owing to the radical shift in vehicle powertrain technology they represented. To bolster the market acceptance of these innovations, established and nascent automotive companies leveraged the allure of "automatic assisted driving" as a potent marketing strategy. However, this study highlights the early marketing tactics that often blurred the lines between "assisted driving" and "autonomous driving" through ambiguous linguistic representations, potentially misleading consumers regarding the actual capabilities of the technology at hand. As of now, the technology to facilitate fully autonomous vehicles remains undeveloped. This paper critically examines the repercussions of such marketing strategies, underscored by a significant traffic incident on China's Putian Expressway on August 12, 2021, which catalyzed a societal reevaluation of the reliability and safety of prevalent assisted driving systems. This research seeks to foster a nuanced understanding of the evolving dynamics in the automotive industry, emphasizing the imperative for clear, accurate marketing and the continuous development of reliable and safe assisted driving technologies. It serves as a clarion call for responsible innovation and marketing in the pursuit of a safer and more sustainable automotive future.
Analysis of Representative Stocks in the UK Supermarket Industry
Authors: Zhou Ziqiao
Published: January 2024

This essay provides a comprehensive analysis of three major supermarket stocks: Marks & Spencer (M&S), Sainsbury's, and Tesco. The analysis focuses on evaluating the risks, profitability, market ratios, and suitability for different types of investors. M&S exhibits the highest level of risk, while Tesco and Sainsbury's appear to be more stable. M&S is the most profitable stock, followed by Tesco and Sainsbury's. In terms of market ratios, M&S shows potential undervaluation and growth opportunities, Sainsbury's offers a high dividend yield, and both Sainsbury's and Tesco display positive momentum. The preferred stock choices for different types of investors are Sainsbury's for value investors, M&S for growth investors, Tesco for index investors, and Sainsbury's for income investors. These results are used for different investors to analyze and decide which company they will invest to earn more profit in its operation.
The Advancement of Medical Biotechnology in Developing Countries: Economic Opportunities and Challenges
Authors: Chen Jiawen
Published: January 2024

Starting from decades ago, medical biotechnology has revolutionized the healthcare industry by offering new hopes for previously untreatable diseases and improving overall health outcomes. To explore the advancements in medical biotechnology, this research essay begins by introducing several examples of medical biotechnologies that are currently in progress of advancement, including CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats), Recombinant DNA technology, and Stem Cell Research. Then, it delves into the developments of medical biotechnology in developing countries and examines the opportunities and challenges faced during its progress. The medical biotechnology industry in most developing countries is relatively immature, so new opportunities appear as improving health outcomes and driving economic growth. Nevertheless, the development and adoption of medical biotechnology in developing countries are under different levels of financial burdens, so supports and collaborations on research and development from the healthcare leaders are essential. Finally, this research essay offers some suggestions to the cost reduction strategies of medical biotechnology in developing countries by promoting the hypothetical combination of value-based healthcare and modern monetary theory.
Differential Interaction: Development of Cross-border Data Flow Governance Mechanisms In Asean
Authors: Song Hao
Published: January 2024

Cross-border data flows, which are fueled by the digital economy, increase the productivity and efficiency of the global economy. The cross-border movement of data has a direct influence on both national security and the growth of the digital economy.Therefore, in order to deal with the security and development issues brought on by the digital geopolitical game, on the one hand, ASEAN focuses on the overall growth of the digital economy and data security,on the other hand, it continues to encourage the spread of the innovative "ASEAN+" governance model and actively participates in the creation of regulations for the digital world. The digital geostrategic competition between large nations is skillfully employed, on the other hand, to aim for a more advantageous position in order to mitigate the negative impacts brought on by mechanism fragmentation. A governance mechanism for cross-border data flow is built using the relational governance concept of “self” and “other” interaction.The negotiating cost and compliance cost will be decreased through the adaptable interplay between mechanism spillover and mechanism internalization, expanding the digital economy in the ASEAN region and enhancing competitive advantages on a worldwide scale.
Employment Promotion in China's Green Industry Development
Authors: Ren Hangqi
Published: January 2024

This study is centered around the intricate interplay between the evolution of China's green industry and its pivotal role in fostering employment opportunities. Against the backdrop of the green sector's rapid growth juxtaposed with overarching economic challenges, understanding the employment-enhancing potential of the green industry holds paramount importance. This paper critically examines the existing employment landscape within China's green industry and the associated challenges it grapples with. Moreover, it meticulously dissects the catalysts driving the green industry's employment-promoting prowess, spotlighting instances such as the new energy vehicle sector and waste separation industry. Conclusively, the study presents a repertoire of affirmative policy recommendations poised to further fortify the symbiotic relationship between green industry expansion and robust employment generation. By shedding light on the symbiotic relationship between green industry growth and substantial job creation, this research contributes to the discourse on sustainable economic development. As China navigates the dynamic landscape of environmental concerns and economic progress, recognizing the capacity of the green industry to drive employment becomes pivotal. By examining the successes and challenges faced by sectors like new energy vehicles and waste separation, this study underscores the need for strategic policies that bolster employment opportunities. Ultimately, these insights offer a roadmap for policymakers and stakeholders to harness the full potential of the green industry in nurturing a resilient economy while addressing environmental imperatives.
Interpersonal Factors on Enterprises' Innovation Performance
Authors: Li Jiazhen , Yang Jing
Published: January 2024

In the current economic society, innovation is not only the key to the sustainable development of many enterprises, but also an imperative in the development of the country. The way to improve the innovation performance of enterprises this issue is now a lot of enterprises are very concerned about. All major companies want to understand the different impacts it brings to business management. Therefore, this paper starts from the four dimensions of ambidextrous leadership, paradoxical leadership, heterogeneity of top management team and stability of top management team to explore the impact of interpersonal factors on innovation performance. It is found that ambidextrous leadership and paradoxical leadership have a positive impact on the innovation performance of enterprises; the stability of the top management team always has a positive impact on the innovation performance of enterprises; and the heterogeneity of the top management team has different impacts on the innovation performance of enterprises according to different heterogeneous situations.
CO2 Emission Prediction Based on Prophet, ARIMA and LSTM
Authors: Luo Yiqi
Published: January 2024

As a matter of fact, with the carbon emissions continuing to rise in recent years, various problems caused by global warming has become more and more serious contemporarily. With this in mind, it is necessary to construct certain models to realize the prediction of the emission. To be specific, this study has come up with an idea to predict the amount of CO2 emission in the future with Python programs. At the same time, to have a further knowledge of the algorithms used, this study has also compared the reliability of different models. According to the analysis, the results show that CO2 emissions will keep rising at a steady pace in the future. In addition, the comparisons show that models based on machine learning tend to be more accurate. Overall, the investigations shed light on not only the environmental protection issue but also a future vision of time series forecasting.
Application and Comparison of Additive Manufacturing Technology in Rocket Manufacturing
Authors: An Junming , Li Bingji
Published: January 2024

Engineering's most difficult and complex challenges have always been those involving the production of rockets. Rocket manufacturing has benefited greatly in recent years from the three-dimensional(3D) printing technology's quick development. By layering materials, 3D printing technology can produce complicated parts and components with accuracy and efficiency. However, there are certain distinctions in how various 3D printing methods are applied while making rockets. This article will introduce several common 3D printing technologies and their applications in the manufacturing of key rocket components and discuss their advantages in rocket manufacturing and their comparison with traditional manufacturing. Despite certain difficulties, there are still many potential applications for 3D printing technology in the manufacture of rockets because to ongoing technological progress and advancement. By overcoming technical and production challenges, 3D printing technology will support innovation and advancement in the rocket manufacturing industry, delivering more effective, dependable, and affordable solutions for upcoming space exploration.
Passenger Flow Prediction and Risk Early Warning for Metro Cross-section based on Transportation Big Data
Authors: Li Jiaxu , Ye Meihan , Zhao Dazhi
Published: January 2024

With the increasing pace of urbanization and the diversification of urban transportation modes, the demand for urban transportation in people's life is also increasing. For the purpose of relieving urban traffic, cities have made great efforts to develop public transport, especially metro transport. This paper will use the subway swipe card data of Changsha city from March 1-15, 2023, and optimize the LSTM model based on particle swarm algorithm, to predict the metro cross-sectional passenger volume. Based on the data and methods, this paper investigates the short-time cross-sectional passenger flow forecasting of the metro using the variables of initial passenger flow, inbound passenger volume and outbound passenger volume as references. It is found that the combined short-time passenger flow prediction model (PSO-LSTM) has good prediction effect. Based on the standard LSTM model, the PSO algorithm optimizes the learning rate, the number of iterations and the number of hidden neurons in the LSTM parameters to construct the PSO-LSTM model. The video recognition technology more accurately reflects the traffic congestion and makes early warning. The short-time cross-sectional passenger flow prediction of subway will help to improve people's living standard and save transportation time cost, which is of practical significance to urban rail operating companies.
The Influence of Virtual Reality Technology on Modern Art
Authors: Yan Chengxu
Published: January 2024

Since its inception, virtual reality (VR) technology has experienced rapid development. Following the outbreak of COVID-19 in 2020, the utilization of VR technology has increased significantly. In the arts sector, VR technology has brought about substantial changes. This paper aims to explore the current trends and future prospects of VR technology in the domain of art. The article undertakes an analysis of the impact of VR technology on art exhibitions, artistic creation, and art education. Virtual reality provides several advantages in these areas, such as minimizing the risk of damage to art pieces during display and storage, along with the creation of innovative painting techniques and mediums. Conclusively, this paper discusses the potential benefits of implementing VR technology in the art field. Moreover, it examines the challenges and inconveniences faced prior to the adoption of this technology. Overall, VR technology demonstrates promising opportunities for advancing the arts, and further research in this area is warranted.
Cytokine IL-12 Based Cancer Immunotherapy
Authors: Hao Xinyuan
Published: January 2024

Immunotherapy is an important method in cancer therapy. Cytokines are signaling molecules produced by the immune system that play a crucial role in regulating immune responses. They can be harnessed in immunotherapy to modulate the immune system's activity to treat various diseases, including cancer and autoimmune disorders. It has been confirmed that Interleukin-12 (IL-12) family cytokines play an important role in tumor immune regulation. Different cytokines in the IL-12 family have different effects and regulatory roles. The IL-12 family of cytokines has shown promise in cancer immunotherapy due to its ability to activate immune responses against tumor cells. This family includes several key cytokines, such as IL-12, Interleukin-23 (IL-23), Interleukin-27 (IL-27), and Interleukin-35 (IL-35), etc., each with distinct roles in modulating the immune system and potential applications in cancer treatment. In this review, I presented the biological functions of several types of cytokines from the IL-12 family and summarized their potential in cancer treatment.
A Systematic Analysis of Wearable Devices as Brain-Computer Interface Based on Neuromodulation
Authors: Qin Zilu
Published: January 2024

As the global health landscape deteriorates, the imperative of ensuring our well-being becomes increasingly apparent. The evolution of integrated circuit miniaturization technology has propelled the advancement of brain-computer interfaces to the forefront of research. Breakthroughs in recording and stimulating deep brain activity in humans have paved the way for a groundbreaking healthcare delivery method, referred to as the "Neural Stack" – a wearable medical device leveraging neuromodulation. This innovation contributes significantly to both the development of brain-computer technology and the broader field of neuroscience. In this article, the author delve into recent milestones within the realm of brain-computer interfaces, dissecting the associated challenges and envisioning future developments and applications. Given the interdisciplinary nature of brain-computer technology, contemporary scholars in the new era are compelled to explore and comprehend its intricacies. We are on the brink of an era where all things are interconnected, with brain-computer interfaces serving as the conduit for information exchange.
Research on Olympic Games Hosting Scheme Based on Comprehensive Evaluation and Grey Prediction Model
Authors: Li Jiaqi , Hui Haoyan , Zheng Haonan , Meng Jiuzhi , Li Chenzhu , Shen Xuhong
Published: January 2024

Owing to the confluence of financial, environmental, and societal pressures confronting both the host city and nation, the allure of bidding for the Olympic Games across diverse global regions is experiencing a discernible wane. In an effort to proffer a structured framework for Olympic Games bidding, this paper undertakes an initial phase of indicator selection and subsequent determination of their respective weights. We have meticulously curated a selection of the utmost fitting cities to serve as potential hosts for the grandeur of the Summer Olympic Games across the global stage. This intricate process is achieved through the confluence of methodologies including the Delphi Method, the Analytic Hierarchy Process (AHP), and the EWM-TOPSIS Method. Subsequently, guided by the Comprehensive Evaluation Model, the study identifies a pair of fitting global locales poised for the enduring stewardship of the summer and winter Olympic Games. This paper culminates in scrutinizing the feasibility of the proposed scheme. This scrutiny takes the form of an inquiry into both immediate and prolonged repercussions of the Olympic Games upon the host city or nation. Parameters of Real GDP per capita, the proportion of international trade taxes, and carbon emissions are dissected, employing the discerning capabilities of the GREY Model. The outcomes of this inquiry distinctly underscore the efficacy of the strategy involving a fixed hosting address, bolstering affirmative developmental trajectories for the host locale. This study bears substantial reference value for the Olympic Organizing Committee in its pursuit of identifying a fresh and distinctive Olympic venue.
Fiscal Policy in Public Health Crisis (COVID-19): An Analysis Based on IS-LM Model in China
Authors: Zhou Hanlei
Published: January 2024

The Chinese economy was severely impacted during the Novel Coronavirus pandemic (COVID-19). This paper will investigate the impact of the epidemic on different fields of the economy, such as consumption and investment, and the role of positive fiscal policy in the recovery of the national economy from the perspective of the government. In addition, this paper will then use the IS-LM model as the analytical method to explore the effect of fiscal policy through the movement of the curve. According to the model, in the face of the epidemic, the Chinese government has boosted economic growth through a series of fiscal policies such as increasing government subsidies, reducing taxes, and issuing consumption vouchers. Moreover, as demonstrated in the literature by different scholars, under the current condition of China, the effect of fiscal policy will be much better than that of monetary policy, and therefore it is the most effective way to address short-term shocks.
The Smartphone Revolution: A Comparative Study of Apple and Samsung
Authors: Sun Haoxuan
Published: January 2024

In an ever-changing digital landscape, smartphones have evolved from mere communication devices to integral components of modern life, epitomising the fusion of innovation, aesthetics, and practicality. This study offers a thorough comparative analysis of industry titans Apple and Samsung, highlighting their diverging design philosophies, feature sets, and approaches to user experience. Apple's commitment to minimalistic design and seamless integration is examined alongside Samsung's focus on versatility and user customisation, each with its own merits and drawbacks. The paper scrutinises how these contrasting design philosophies manifest in their operating systems—Apple's cohesive iOS versus Samsung's flexible Android framework. Beyond design and functionality, this analysis examines how these decisions impact customer experience, investigating elements like brand loyalty, user personalisation, and consumer choice. Drawing upon a mix of scholarly research and market data, this study is a valuable resource for industry insiders, academics, and everyday consumers. The conclusions derived from this in-depth comparison not only shed light on the reasons behind the market dominance of these two companies but also provide insights into their continued capacity for innovation, shaping consumer expectations and defining the trajectory of the global smartphone industry.
The Impact of Development of Financial Technology on China’s Economy
Authors: Chen Ziyu
Published: January 2024

The development of financial technology (FinTech) has an important role in the present economy. It not only drove overall economic consumption through innovative service models and financial tools, but also helped people return to a normal rhythm of life to a certain extent during the COVID-19 epidemic by helping offline operations shift to online services, online offices, online teaching, and other innovative approaches. In addition, it plays a very important role in social governance and promotes social stability. This paper focuses on analyzing the impact of FinTech on industrial structure, upgrading in consumption structure and social governance, and argues that society, government and the market need not only to develop and apply FinTech correctly, but also to implement development policies according to local conditions. In this way, it can better play its positive role in promoting economic development, and at the same time, it is also necessary to strengthen supervision and regulation to prevent the growth of undesirable behavior.
Significant Policies Have the Federal Reserve Enacted to Control Inflation from the Pandemic
Authors: Zhang Haokun
Published: January 2024

Since April 2021, headline and core inflation figures in the United States have been above target. The factors behind the price spikes are difficult to clarify and have been the subject of debate among policymakers and academics. Lowering interest rates makes borrowing cheaper, which potentially stimulates demand and causes inflation. Conversely, raising interest rates can decrease demand and mitigate inflation. Tight monetary policy helps curb inflation. The Federal Reserve has increased interest rates 11 times since March 2022, bringing the federal funds rate to its highest level since 2001. As interest rates rise, so do borrowing costs. Higher interest rates not only increase borrowing costs but also make saving more attractive, as individuals can earn higher returns on their savings. This change in behavior can result in less investment and consumer expenditure, further dampening economic growth. Therefore, Federal reserve need to make corresponding and correct responses to better deal with inflation. This paper will mainly discuss what economic policies the Federal Reserve has adopted in response to the inflation caused by the epidemic and will actually look at whether or not these monetary policies have actually curbed inflation.
Research on multibeam line layout based on geometric mathematical model and regression analysis
Authors: Hu Kaijie , Xu Pengfei , Zhang Yijie , Li Xudong
Published: January 2024

A multibeam sounding system is a system that emits acoustic pulse waves through a mechanical device to map the seafloor topography in real time. It can accurately and rapidly measure the size, shape and elevation changes of underwater targets. In this study, the mathematical model of the multibeam sounding system is proposed, and the optimized design of the survey line is carried out according to different seabed geomorphology. Firstly, relevant formulas are deduced by mathematical geometry and trigonometric functions in plane space, then a spatial right-angled coordinate system is established and the direction of the survey line is projected to the x-axis, which transforms the survey line problem in three-dimensional space into a planar type, and finally, according to the mathematical definitions, the shape of the multibeam irradiation on the sloping surface is judged to be an ellipse and the projection model is constructed. The bivariate model is constructed using regression analysis, and the line measurement that meets the requirements is determined by solving the optimal solution. The conclusion shows that the optimal solution for the angle between the direction of the survey line and the projection of the normal direction of the seabed slope on the horizontal plane is 45°, and the survey line that meets the requirements of the shortest measurement length, covering the entire sea area to be surveyed, and the overlap rate of 10-20% can be obtained.
Research on Digital Business Model Development
Authors: Zhou Ziqi
Published: January 2024

During the outbreak and spread of the epidemic, the global economy was severely hit. However, the digital economic model has achieved certain developments, and this trend has attracted widespread attention from society. This study will analyze the development process of digital business models at different time points and evaluate and predict future trends. Through a segmented analysis of different derived business models, the process of enterprise digital transformation will become clear. Some representative companies will be studied as examples, which are an important part of the digitalization process. After a series of analyses, the development of the digital economy is completely showing an upward trend. Through the analysis of people's gradually mature and perfect digital lifestyle during the pandemic, companies must use digital transaction models to increase sales if they want to achieve progress in an era of rapid development of digital technology. The global development of the digital economy and its contribution to GDP are inevitable.
An Empirical Analysis on the Effect of IP Protection on Economic Growth in Shenzhen
Authors: Jiang Qinhan
Published: January 2024

This research paper examines the relationship between intellectual property (IP) protection and economic growth, with a specific focus on Shenzhen from 2014 to 2020. The study investigates the effect of IP protection measures, the combined effect of IP protection and investment, and the combined effect of IP protection and workforce on the total output. Previous literature has highlighted the positive influence of IP protection on economic growth in developed regions, but its impact in transitioning economies, like Shenzhen, remains less explored. Using a linear regression model, this research aims to provide insights into the interplay between IP protection, fixed investment, workforce size, and trade openness in the context of Shenzhen's economic development during the period under study. This will further clarify the connection of IPR to economic growth in a transitioning economy.
Vegetable Pricing and Restocking with Markov Models
Authors: Zhu Yanhe , Xie Qiaoman , Zhang Gege
Published: January 2024

The freshness period of most vegetables in fresh produce superstores is relatively short, thus solving the vegetable replenishment and pricing decision problem is of practical significance. In order to make the best decision on vegetable commodity replenishment and pricing, this paper firstly fits a linear fit to the total sales volume and cost-plus pricing. Secondly, an optimisation model is established with maximum revenue as the objective function, cost-plus pricing and inbound unit price as the decision variables, and replenishment volume equal to sales volume as the constraint after considering the wastage rate. Finally, cost-plus pricing and in-stock unit price are predicted using cubic exponential smoothing.The utilization of Markov models allows for short-term forecasting based on a limited amount of recent data and possesses generality.
Synthesis Of Bio-Degradable Copolymers from Sodium Alginate and Konjac Glucomannan Via Dehydration and Ca2+ Cross-Linking
Authors: Du Shangfei , Geng Yucheng , Wu Xingchen
Published: January 2024

The study aimed to develop bio-degradable, grafted copolymers using sodium alginate and Konjac-glucomannan. Sodium alginate, extracted from seaweed, and Konjac-glucomannan, derived from the Konjac plant, form a brown, viscous paste in pH 4.0-7.0 liquids. Sodium alginate is known for its solubility, stability, and viscosity. The research involved mixing different ratios of sodium alginate and Konjac-glucomannan with water and glycerol as a compatibilizer. These combinations were used to create various colloid-polymer pastes, and their properties were assessed. Glycerol played a vital role in enhancing performance and compatibility. Two processing methods were employed. The first method involved immersing the pastes in a calcium chloride solution, enabling cross-linking through Ca^2+ ions. This formed films with distinct properties, including strength, brittleness, elasticity, and solubility. The second method involved dehydration, drying the pastes to form films with different properties than the cross-linked films. The resulting films exhibited diverse characteristics depending on the ratios of sodium alginate and Konjac-glucomannan. Cross-linked films demonstrated varying levels of strength, brittleness, elasticity, and solubility due to the network structure formed during cross-linking. Dehydrated films, obtained by removing water molecules, exhibited unique properties. This study contributes to the field of bio-degradable copolymers by successfully developing grafted copolymers using sodium alginate and Konjac-glucomannan. These natural polymers hold promise for sustainable materials in applications like packaging, drug delivery, and biomedical engineering. Further research is necessary to optimize copolymer compositions and processing techniques in order to fully harness their potential. Understanding the structure-property relationships will enable the customization of copolymers for specific applications, advancing the development of eco-friendly materials for a greener future.
The Advantages and Disadvantages of Codec Between RDP Code and EVENODD Code
Authors: Zhang Zijin
Published: January 2024

With the rapid change of The Times, the number of people and devices continues to grow, and the amount of data begins to explode, which brings great challenges to the current data storage means. In this context, this paper mainly compares the advantages and disadvantages of RDP code and EVENODD code in RAID6 disk array system. This paper first introduces the coding principle and decoding principle of RDP algorithm, and then introduces the coding principle and decoding principle of EVENODD code. Finally, the two algorithms are compared in performance, redundancy data element and coding cost. Compared with EVENODD algorithm, RDP algorithm has obvious advantages in all aspects. Through the analysis of the calculation results, RDP algorithm is significantly better than EVENODD algorithm in terms of data elements to be called, redundant elements and coding calculation cost. This shows that using RDP coding algorithm can reduce system overhead and improve system performance and efficiency. Therefore, RDP codes have a better advantage in RAID6 disk array systems. In summary, this paper compares the advantages and disadvantages of RDP encoding and EVENODD encoding. The calculation results show that the algorithm can significantly increase the amount of data transmission and redundant data while reducing the overhead. This provides an effective guarantee for the reliable operation of RAID6 disk array system. This research has certain guiding significance to improve the performance and reliability of the system.
Investment Decision among Intercontinental, Hilton and Louis Vuitton
Authors: Zhong Wenjie
Published: January 2024

Investment is very important for both individuals and the economy and society. A good investment can achieve wealth growth or create more social welfare. In this context, the main purpose of this article is to study how different investors invest in Hilton, Intercontinental, and Louis Vuitton to achieve their investment objectives. This article will first introduce three companies. In addition, this study collected indicator data on risk, profit margin, and market ratio from multiple perspectives, and after comprehensive calculations, formed the analytical basis for this study. On the basis of data, this article summarizes the asset selection of value investors, income investors, PEG investors, index investors, ROA investors, DCF investors, momentum investors, insider trading, and stock repurchases. The results show that there are significant differences in the preferences of different investors towards the three companies.
Application Analysis of RFID in Supply Chain Management
Authors: Su Xueqin
Published: January 2024

With the increase in global trade and the intensification of market competition, the importance of supply chain management is becoming more and more obvious. Radio Frequency Identification (RFID) technology emerged as the times required, bringing a new solution to supply chain management. This article will discuss the application analysis of RFID in supply chain management. The article mainly analyzes the environmental benefits of RFID technology; RFID application analysis based on the clothing industry and the application of RFID technology in inventory management of companies. The results of the study pointed out that although there are still some difficulties in the application of RFID technology, RFID technology has indeed effectively improved the efficiency of the supply chain. Moreover, the development trend of RFID is getting better and better, and the RFID technology has gradually lowered the application threshold standard as more people invest in research. RFID ultimately brings more benefits to enterprises and society. Therefore, this paper proposes to increase investment in the application of RFID technology in the supply chain. This article aims to provide decision-making guidance and reference significance for enterprises using RFID technology.
Design of Bionic Landing Gear with Multi-Link Mechanism for UAVs in Desert Terrain
Authors: Chen Junhong
Published: January 2024

The terrain in desert areas is rugged and uneven, lacking suitable landing points for unmanned aerial vehicles (UAVs). In addition, sand and dust in the desert can easily damage the internal circuits of propellers through vortexes. To address the high demands for hardness and smoothness of landing sites for vertical takeoff and landing (VTOL) aircraft, as well as the low level of intelligence of traditional landing gear, an optimized biomimetic leg-type terrain-adaptive landing gear based on a multi-link hybrid mechanism was developed for landing in desert areas. First, the design configuration of a single leg was optimized, and the length of each link was calculated accordingly, followed by motion simulations. Secondly, the overall design was developed, and slope landing simulations were conducted on the four-leg mechanism. Research results showed that the optimized multi-link hybrid mechanism terrain-adaptive landing gear was better suited for adapting to desert terrain and could land on sand dune slopes, effectively improving the adaptability of VTOL aircraft in desert areas.
Research on the Survival of Chinese Beauty Anchors
Authors: Liu Jiaqi
Published: January 2024

The beauty anchor industry, often perceived as a gateway to fame and fortune, reveals a complex reality upon closer examination. This study employs intersectionality theory to delve into the challenges faced by both top and bottom-level beauty anchors through in-depth interviews with industry professionals. The findings unveil a landscape marked by existential angst due to age limitations, income inequality, and gender-biased harassment. Contrary to the popular notion that success in the anchor industry is easily attainable, the study paints a nuanced picture of uncertainties and hardships faced by individuals across different echelons, emphasizing the intersectionality of age, wealth, gender issues, and the identity of beauty anchors. Whether basking in the limelight or struggling for recognition, beauty anchors share a common thread of concern for their survival. The prevalent rumor that entering the anchor industry guarantees prosperity overlooks systemic issues and individual struggles, emphasizing the need for a more realistic understanding of this profession. Acknowledging these challenges is crucial for fostering industry-wide reforms and supportive policies to ensure the well-being and sustainability of beauty anchors. This study calls for a shift in societal perceptions and a more nuanced perspective to promote the genuine success and welfare of those pursuing careers in the beauty anchor industry, ultimately addressing the limitations of the law in safeguarding the rights and well-being of these professionals.
The Differences of Registration Systems in Chinese and the U.S. and Implications
Authors: Gu Chunfei
Published: January 2024

As a matter of fact, registration systems are crucial for stock markets and financing of companies, which is different in different countries and regimes. In November 2013, the purpose of China securities regulatory commission is to strength the status of market as the role of resource allocation. With the continuous development the issuance, trading system of listed companies’ reforms registration system, which promotes the efficiency of market operation and information disclosure level. With this in mind, this paper tracks the history of registration system in the United States, analyses the risk in the progress of market registration. Due to significant different political and cultural system, this paper also discusses the differences between the registration systems of China and the United States, the reasons for the differences and the enlightenment to the development of the registration system in China. Overall, these results shed light on guiding further exploration of registration system development.
Graphical Analysis of the Markowitz Model under Different Constraints
Authors: Wang Xinyue
Published: January 2024

The Markowitz mean-variance model is an important tool in portfolio theory. This study examines the complexity of the model by analyzing its application and performance under different constraints. The study uses Bloomberg data on 10 stocks from 2001 to 2021 to rigorously analyze the impact of limitations on portfolio optimization. The study explores limitations ranging from limiting total allocations and individual weightings to intentional exclusions and long-term strategies to discern the impact on the risk-reward profile. The research uses graphical representations and key metrics such as Sharpe ratios, stock allocation lines, and various portfolio metrics to provide insight into optimal allocation strategies. The results indicate that these constraints have a significant impact on the risk-return profile of a portfolio and that it is essential to take them into account when optimizing a portfolio. The study provides a comprehensive analysis of the Markowitz model and its application under various constraints, which can help investors make informed decisions while optimizing their investment portfolios.
Economic Impact on Russia After the Russian-Ukrainian Conflict
Authors: Li Wenhao
Published: January 2024

Based on the premise of the outbreak of war in the Russian-Ukrainian conflict war, the following article examines the impact on the Russian macro and micro economy. Raw oil, fertilizer fuels and gas energy are the main pillars of the Russian economy, while the domestic economy is dominated by the service sector. The methodology of research on the Russian economy is the integration of information and data through academic articles. One of the main sources of damage to the Russian economy was found to be the series of economic sanctions implemented by the United States and the European Union, and the main groups affected by these losses, in terms of data, were the wealthy Russians and senior members of the government leadership. At the macro level, Russian energy exports have suffered a severe setback, with a larger percentage drop compared to previous years. In the meanwhile, however, the losses to the Russian economy and the impact from inflation have been reduced by increasing the share of trade with the Chinese market and improving the domestic economic policies. This study will help to explore the development of a more appropriate economic policy in Russia and the direction of foreign trade, as well as recommendations for the reorganization of the economic structure in the country. However, the drawback of the study is that the material or content of the study may not always have a clear political stance, which may affect the judgment of researcher to the real state of the Russian economy.
Comprehensive Analysis of DC/DC Converters for Electric Vehicles Applications: Topologies and Future Perspectives
Authors: Wang Xianda
Published: January 2024

In order to implement the global sustainable development strategy, reduce the burden of traditional fuel vehicles on the environment, and at the same time, due to the increasing oil prices, more and more people are reluctant to use fuel vehicles, the global automobile industry. The centre of gravity has gradually shifted from traditional industrial energy vehicles to electric vehicles. As an integral part of the electric vehicle powertrain, the DC/DC converter has the important function of supplying power to the power steering system, air conditioning and other auxiliary equipment.This paper describes in detail the DC/DC converters that provide power for electric vehicles, describes in detail the different types of DC/DC converters as well as the different topologies, and analyses the characteristics of each topology and the method of providing power to the circuit by drawing the circuit of the different topologies. Next, the advantages and disadvantages of various topologies are compared, and improvement methods and future prospects are proposed for the shortcomings of different topologies.