bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization Of Replenishment and Sales Strategies of Vegetable Commodities Based on Multiple Linear Regression and Non-Linear Programming
Authors: Fu Xiangkun , Li Xiangshi , Wang Wenhuizi
Published: January 2024

Automated pricing of vegetable items generates suggested selling prices for the items based on the provided item data, considering the structure of the data. The aim of this paper is to better help superstores plan future replenishment volumes and pricing strategies by analysing sales data for each category and individual item in the vegetable category. Specifically, this paper takes the category as a unit, uses the processed cost-plus pricing, sales volume, purchase price, and loss rate data of each vegetable category to establish a linear regression model, and based on the least squares method, the relationship between cost-plus pricing and total sales volume of each vegetable category is fitted to solve the problem, and the multivariate linear relationship expression with high fit is obtained; based on the cost-plus pricing rule, the future replenishment volume and pricing decision is established based on each category. Based on the cost-plus pricing rule, a nonlinear programming model is established based on the total daily replenishment and pricing decision for each category in the coming week, with the revenue of the superstore as the optimization objective, and considering the constraint of the transport loss rate, the total daily replenishment in the coming week under the maximal revenue is solved by using MATLAB to get the corresponding replenishment strategy, and then the total daily replenishment is substituted into the multivariate linear expression to calculate the corresponding pricing strategy.
Harnessing CFD Modeling Techniques for Optimizing Automotive Streamlines and Reducing Aerodynamic Drag
Authors: Liu Yipeng
Published: January 2024

Computational fluid dynamics (CFD) has emerged as an indispensable tool in automotive design, significantly enhancing vehicle performance through aerodynamic optimization. This paper offers a comprehensive exploration of the application of CFD modeling techniques in refining automotive streamline designs, with the overarching goal of mitigating aerodynamic drag and amplifying vehicle efficiency. To contextualize the discussion, the author commences with a historical overview of fluid dynamics, segueing into a detailed exposition of core CFD algorithms, numerical methodologies, and advanced modeling approaches encompassing boundary layer dynamics, turbulence modeling, meshing strategies, and coupling techniques. Through illustrative case studies, the author elucidates the transformative impact of CFD in streamlining the design process and achieving tangible drag reduction outcomes. The discourse extends to the implications of CFD on fuel economy, vehicular speed, stability, and holistic design considerations. In conclusion, the author addresses the challenges inherent in transposing CFD insights to tangible automotive applications and charts prospective trajectories for CFD's continued evolution in automotive engineering, underscoring its pivotal role in steering the future of vehicular design.
A Comprehensive Analysis and Comparison of the U.S.’ and China’s Healthcare System
Authors: Tang Shi
Published: January 2024

In an era of rapid globalization, understanding healthcare financing systems across diverse nations can offer crucial insights. This research project delves into the inner workings of the United States Medicaid and Medicare program and China's state-sponsored healthcare insurance schemes. Each represents a unique model of public health investment, shaped by distinct political philosophies and social contracts. The analysis reveals that the U.S. Medicaid program, despite its broad reach and comprehensive services, grapples with issues of equitable access and sustainable financing. In contrast, China's multi-tiered system offers a more standardized, although less comprehensive, form of coverage and faces challenges related to service quality and rural-urban disparities. Both nations, however, are in the continuous process of adapting their healthcare models to meet changing demographic and economic needs. By critically examining these two healthcare funding mechanisms, this study contributes to the ongoing dialogue on public health financing, offering recommendations for future policy interventions and reforms in both countries and potentially others.
Research on multibeam bathymetric strategy based on sine theorem and equivalent slope angle
Authors: Zhao Leyuan , Yang Junru , Wang Hui , Xu Yueyang
Published: January 2024

Multibeam bathymetry is widely used in the fields of water body bathymetry and terrain survey, and the survey line laying scheme is of key significance to improve the measurement accuracy and enhance the measurement efficiency. Therefore, it is of practical significance to increase the research on the survey line laying scheme for different water bodies and different terrains. In this paper, we firstly establish a single-slope multibeam bathymetry coverage width and overlap rate model based on the sine theorem in the case of constant line direction, and solve a set of analytical solutions for seawater depth, coverage width and overlap rate; then we extend the study on the coverage width when the direction of the survey line is changed, and establish a multibeam coverage width model based on the equivalent slope; finally, the optimal line laying scheme is solved for a given rectangle area.
Analyze of Japanese Culture in Contemporary Architectural Practice
Authors: Xu Bochen
Published: January 2024

How to deconstruct traditional culture and use it in contemporary practices has become one of the key problems in modern architecture, as modernism proved its failure in including human lifestyle in the building, and lack of consideration of how local culture portrays people and whether it should be included in design. regions with rich traditional cultures face modern urban development and architectural revolution. This paper focuses on how local Japanese architect has deconstructed traditional culture and used it in their contemporary architectural practice, by analyzing works and interviews from Ando Tadao and Kuma Kengo with their different approach in their architectural practice through philosophical and visual deconstruction of Japanese culture. This paper has concluded some key aspect in the field of using traditional Japanese element in modern architecture reviewed how their approaches has been viewed and commented on, and provided some paths that could be used in future architects when comes to projects that include some aspect of traditional local culture.
Study on Housing Problems and Improvement Opinions of Non-local Personnel in Shanghai
Authors: Zhang Chenjie
Published: January 2024

The development of a city relies on the influx and retention of people and talents, especially those from other places, which plays a vital role in the city's progress. Shanghai, being an international metropolis, faces the challenge of high living costs and skyrocketing housing prices, making it challenging for many outsiders to reside in the city. At present, there are various problems in the housing of non-local residents in Shanghai, which to some extent hinder their contribution to urban construction and economic development. Properly solving their housing problems has become a necessary path in the process of urban development. Therefore, this study takes non-local residents in Shanghai as the starting point for research, and analyzes the current housing situation and housing satisfaction of non-local residents and newly employed college students. Given this situation, several policy recommendations are being put forward to address housing issues and contribute to the urban construction and development of Shanghai.
Seismic Analysis of Large-span Steel Truss Structure Based on PKPM
Authors: He Chenghao , Zou Qiyu
Published: January 2024

In the construction industry, large-span steel truss structures are widely used. In order to test their seismic performance under different structures, select truss structures with better seismic performance, and use PKPM software to establish two cross-sectional triangular arch truss models with different web member arrangements, one cross-sectional trapezoidal arch truss model. Using the mode decomposition response spectrum method, simulate and analyze the displacement and stress changes of three sets of finite element calculation models under different load combinations during earthquakes. The results showed that all truss models meet seismic requirements. The change in the arrangement of the web members did not significantly improve the seismic performance of the cross-sectional triangular truss, the seismic performance of the cross-sectional trapezoidal arch truss was significantly better. The lower chord of the triangular arch truss support and the mid-span top chord are under compression, while the top chord is only compressed on one side and tensioned on the other side. The top chord of the trapezoidal arch truss is mainly under pressure.
Strategic Decision-Making in Large Holding Firms: Diversification, Influencing Factors, Similarity and Difference, and Challenges
Authors: Jiang Kun
Published: January 2024

Holding corporations offer a distinctive environment for strategic decision-making because of their intricate organizational structures and varied portfolios of subsidiary enterprises. This study explores the subtleties of strategic decision-making within huge holding companies, looking at both the shared and unique strategies used by these corporate behemoths. It does so by using a thorough analysis of case studies, industry reports, and interviews with important players. The study reveals several common factors, such as a dedication to long-term value creation, portfolio optimization, and risk management, in the strategic decision-making of large holding organizations. Additionally, it emphasizes how crucial leadership, governance frameworks, and the harmony between centralized and decentralized decision-making are to achieving strategic goals. This study article gives useful insights for both academic researchers and practitioners on the subject of corporate strategy by offering a thorough investigation of the strategic decision-making processes of big-holding organizations. The results lay the groundwork for future research in the areas of corporate governance, management, and performance improvement. They also provide a greater knowledge of the varied nature of decision-making within complex corporate ecosystems.
Green Finance and Low-carbon Sustainable Development -- from the Perspective of Commercial Bank Management
Authors: Huang Ziyi
Published: January 2024

Low-carbon and green development is an significant part of sustainable development. In the context of sustainable development, commercial banks, as a major social body, have derived a variety of financial products by strengthening green management. According to the Organization for Economic Cooperation and Development (OECD), green finance is a service that reduces pollution and greenhouse gas emissions in environmental protection, improves the efficiency of natural resource utilization and reduces resource waste while achieving economic growth. Green finance is a business activity corresponding to commercial banks and a concrete manifestation of green development in the financial field. Faced with the challenge of reducing carbon emissions, commercial banks have accelerated the transformation and upgrading of business concepts and developed into green industries. The basic nature of a bank is to provide reliable services and obtain corresponding profits by providing financial products and services to responsible entities. At this stage, banks have accelerated development of green financial products, forming different forms of green credit, green bonds and other content. Meanwhile, commercial banks are also facing many challenges and problems in this context.
Valuation and Competitive Comparison of Mattel and Hasbro
Authors: Ding Enzhi
Published: January 2024

Mattel and Hasbro, as the two giants of American toy companies, have always been in competition with each other. This paper takes these two companies as research objects, and uses historical data to conduct financial analysis, valuation analysis and market analysis, thus drawing a comparison of the valuation and competitiveness of Mattel and Hasbro. The results show that overall Hasbro's valuation and competitiveness as well as the company's performance are better than Mattel's. Whether it is financial analysis or valuation analysis, it can be seen from the relevant data that Hasbro's performance is more stable and optimistic than Mattel. But Mattel and Hasbro are both facing difficulties, and their recent sales results have suffered steep year-on-year declines, the industry situation has also changed significantly. Therefore, competitive advantages and challenges should be fully considered when conducting company analysis. Finally, this paper summarizes the valuation and competitiveness of Mattel and Hasbro, and puts forward some suggestions for investors and industry practitioners.
Study on Shield Machine Technology
Authors: Xu Junhao
Published: January 2024

The shield machine is a specialized construction equipment used for excavating tunnels, particularly in underground construction projects. The shield machine plays a pivotal role in modern engineering and construction, minimizing surface disruption and environmental impact. Shield machines can adapt to different geological conditions and project requirements, and efficiently excavate tunnels in various ground conditions, reducing construction time and costs. Shield machines improve worker safety by reducing risks associated with manual tunneling, and digging tunnels with high precision, crucial for projects like subways. In essence, shield machines are essential tools in modern tunnel construction, offering efficiency, safety, and precision in building underground infrastructure for various purposes, including transportation, utilities, and more. This paper summarizes the development history of the shield machine and its basic structure, discusses its limitations and challenges, and makes a certain analysis of the application of the shield machine while discussing the innovations and methods of the hydraulic propulsion mechanism of the shield machine. This paper may offer a reference for the development of shield machine.
Market Competition and Monopoly Power: Insights from Oligopoly Structure
Authors: Zhou Ziqi
Published: January 2024

In this context, the primary objective is to conduct a comprehensive investigation into the real-world implementation and impact of distinct economic models. Through the literature analysis, the paper sets out to examine product competition and corporate conduct within two contemporary markets. Through this meticulous approach, the aim is to unveil the nuanced distinctions and intriguing parallels that exist between Oligopoly and Oligopoly Competitive Markets. First, broad definitions and classifications of both oligopolistic and oligopolistically competitive markets are considered. Second, the subtle differences between the two markets will be shown through specific oligopoly examples (such as OPEC and mobile phone market). Third, detailed analysis of the features of the similarity between the two markets. Finally, the study found that, as two different market structures, the oligopoly market and the oligopoly competition market have completely different gaps in market control and price stability, but it is undeniable that the two markets have the same driving force in innovation.
Object Detection Algorithms Based on Convolutional Neural Networks
Authors: Deng Zihan , Li Ang
Published: January 2024

Object detection is a fundamental and challenging task in computer vision, and it has attracted much attention from researchers worldwide. In recent years, deep learning technology has made remarkable progress and enabled new possibilities for object detection. Convolutional neural networks (CNNs), which are powerful tools for feature extraction and representation learning, have become the dominant approach for object detection, surpassing the traditional methods. This article reviews the development history of CNNs and their applications to object detection. It also introduces and compares two main branches of CNN-based object detection algorithms: region-based methods, which use a two-stage pipeline to first generate candidate regions and then classify them, and regression-based methods, which directly predict the bounding boxes and labels of objects in a single stage. Finally, it summarizes the current state-of-the-art and discusses the future directions of object detection research.
The Use of Instant Messaging Software in the Workplace
Authors: Zhou Ruiyang
Published: January 2024

This paper focuses on the study of instant messaging technology. It mainly discusses the major benefits and defects of this technology and how it can be changed. In addition, this paper focuses on the use of instant messaging technology in working conditions. Contrasting with other types of messaging software, this paper displays the benefits and shortage of messaging software.  The research is done only on employed workers. Throughout this research, the problems and defects of instant messaging software are discovered, such as its overlap with daily life and its restriction in about how to improve software like WeCom, DingTalk, and then leads to an increase in overall working efficiency among different companies. Furthermore, this study focuses on the interaction between instant messaging technology and workers, instead of on either side. Thus, results are given, and suggestions among instant messaging software such as the application of administrator and its combination with other systems are also pointed out.
The preparation of pH-sensitive doxorubicin prodrug for enhanced antitumor efficacy
Authors: Wu Yan
Published: January 2024

We have produced a micelle nanoparticle with intrinsic pH response, which is formed by self-assembled amphiphilic polyethylene glycol-Schiff-doxorubicin (PEG-Schiff-DOX) prodrug. These nanoparticles can maintain stability well under normal conditions and last for more than a week, but they will rapidly decompose in slightly acidic environments. The concentration of DOX in the nano solution is high with the drug loading ratio of 49.4%. This pH-responsive drug release behavior may lead to higher intracellular drug concentrations and prolonged action times. CCK-8 assays have shown that the nanosuspension exhibits superior anti-tumor activity against HeLa cells compared to free DOX. It is believed that these nanoparticle-based prodrug have great potential for developing DOX formulations for cancer therapy.
A Comparison Between Strategy at Mcdonald’S and Burger King
Authors: Zhu Kaiyun
Published: January 2024

This paper will compare the strategic analysis of McDonald's and Burger King. This is mainly achieved by conducting a more detailed comparison of variables such as market strategy analysis, internal corporate structure, consumer preferences, and market expansion. Make side-by-side comparisons of marketing advertisements, price plans, marketing tactics, business structures, and other factors. The majority of people consider McDonald's to be the industry leader in fast food. McDonald's was established earlier and has more advanced technology than Burger King. According to preliminary investigation, McDonald's possesses technological and marketing resources that are comparatively complete, and also has relatively humanized employee benefits. For instance, McDonald's will offer flexible work schedules to its employees and will encourage recent graduates to seek for high-level positions, providing chances for young people. In addition, allowing female employees to work while taking care of their family is incredibly humane for them. Work. One of the reasons Burger King lags behind McDonald's in most marketing methods could be that the company has gone bankrupt and is currently dealing with considerable staff unrest. In order to appeal to consumers' psyche, McDonald's frequently introduces specials, follows the most recent fashions, and finishes them with $0.99. Burger King and McDonald's have various positionings in their respective industries, according to preliminary investigation and comparison. McDonald's, which came on the scene before Burger King, is comparable to a leader in the fast food sector. Additionally, Burger King is comparable to a rival in the fast food sector. However, Burger King has also seized numerous commercial chances with its audacious advertising strategies.
Cardiovascular Diseases Risk Prediction Based on Machine Learning Models
Authors: Li Steven Kalung , Peng Yuli
Published: January 2024

Cardiovascular Diseases (CVD) are the leading cause of death worldwide, CVD has a high death rate of 95% as it causes a blockage in blood vessels, which prevents blood from flowing to the brain or heart. Necessitating accurate risk prediction for effective prevention and management becomes a necessity of lowering death caused by cardiovascular disease. This paper presents a comprehensive study utilizing Logistic Regression and Decision Tree models implemented via Python to predict CVD risk. The models were trained on a dataset comprising numerous variables such as age, checkup, sex, and BMI which are essential factors and indicators that are related to health and wellbeing. A detailed evaluation would be produced, including accuracy, precision, and confusion matrix, demonstrates the efficiency of the proposed approach, with the Logistic Regression model achieving an accuracy of 91.94% and a precision of 71.94%. followed by the decision tree model achieving an accuracy of 86.14% and a precision of 19.7%.
Research on the transaction mechanism of electricity retail market that satisfies the full liberalization of industrial and commercial users
Authors: Luo Xi , Zhuang Xiaodan , Zhao Wen , He Jie , He Letian
Published: January 2024

This paper proposes an electricity retail market transaction mechanism that satisfies the full liberalization of industrial and commercial users in the future environment of full liberalization of industrial and commercial users. The method and path of the whole process construction of the electricity retail market trading mechanism are analyzed. Aiming at the situation that a large number of industrial and commercial users all enter the electricity retail market, the electricity retail package system mechanism, diversified development and effective management and control paths have been constructed. Analyzed the countermeasures and mechanism suggestions for market transaction organizers to standardize the operation behavior of electricity sales companies and effectively prevent market risks, put forward relevant suggestions to guide electricity sales companies to diversify the development of retail services, and promote business model innovation, and analyzed the effect of case applications.
Comparison Of Cloud Storage in The Field of Personal Data and Big Data
Authors: Zhou Jiahao
Published: January 2024

Background: With the development of information technology and the popularization of the Internet, a large amount of data has been generated and collected. These data typically have the characteristics of massive, diverse, and high-speed growth, and traditional data storage devices and technologies are no longer able to meet the storage and analysis needs of data. And people need more and more storage space to store personal files, photos, videos, and other data. Traditional personal computer hard drives have limited capacity and cannot meet the growing data demand. The emergence of cloud storage provides more flexible and efficient solutions for big data storage and analysis, as well as larger capacity and more convenient access methods, solving the challenges of personal storage and sharing. Method: Based on comparative analysis, explore the advantages and disadvantages of cloud storage in the fields of personal data storage and sharing, as well as big data storage and analysis. Result: Cloud storage has certain advantages and limitations in the fields of personal storage and sharing, as well as big data storage and analysis. Users need to consider these factors comprehensively based on their own needs and actual situation.
Analysis of How Enterprises Can Improve Market Competitiveness in the Context of Digital Transformation - Take Amazon as an Example
Authors: Liu Jiaqi , Wang Xuanyu
Published: January 2024

Multinational companies have emerged as the primary driving force behind the global economic integration trend. With the advancement of digital tools and technologies, there has been a significant increase in people's demand for digital services and experiences. This shift in consumer behaviour has created a pressing need for multinational companies to embrace digital transformation to meet these evolving needs and further stimulate economic development. One crucial aspect of this transformation is cross-border e-commerce, which plays a vital role in the strategies of multinational companies. As a successful example, Amazon has effectively undergone this transformation and is a model for others. By analyzing Amazon's experience using the 4P marketing model and data analysis, valuable insights and suggestions can be provided to companies seeking digital transformation. This will enable them to adapt to the changing digital landscape, enhance their global competitiveness, and thrive in the dynamic and interconnected global market. With the right strategies and implementation of digital tools, companies can leverage the power of technology to expand their reach, improve customer experiences, and drive sustainable growth in the digital era.
Analysis on the Implementation Effect of Microsoft Corporation's Financial Strategy
Authors: Zhang Jiaqi
Published: January 2024

Microsoft, traditionally a software monarch, has metamorphosed into a multifaceted tech titan, with cloud services and enterprise solutions as its modern-day driving points. On the stage of global science and technology business, financial strategy plays the role of a beacon, illuminating the complex financial situation and strategic positioning of enterprises. Based on Microsoft's public financial information and data, this paper analyzes its financial strategy, explores the implementation effect of its financial strategy, finds its existing problems, and puts forward corresponding suggestions to promote its long-term stable development. The study found that Microsoft has strong R&D investment and strategic layout ability, which can bring excellent returns to its investors, and good financial performance indicates a strong driving force for its diversified development in the future. In the future, Microsoft should pay more attention to the dividend income of investors to match the growth of the enterprise, and continue to increase its R&D ability to enhance its growth ability. This enriches the research on the implementation effect of Microsoft's financial strategy under the current "cloud first" business model, and the improvement suggestions put forward will help Microsoft improve its financial strategy and provide reference for peer enterprises.
Revolutionizing Digital Signal Filters: A Breakthrough in Low-Power Multipliers
Authors: Jiang Yixuan
Published: January 2024

In the ever-evolving landscape of digital signal processing technology, the ubiquitous presence of digital signal filters has become a cornerstone across a myriad of domains including radar, computing, and communications. Amidst the relentless pursuit of more efficient solutions, a pivotal development emerges - the creation of a low-power multiplier tailored explicitly for digital signal filters. This innovation hinges upon the judicious selection of a carry-lookahead adder as a fundamental building block within the multiplier, ushering in enhancements that ripple through its operation. This transformative leap doesn't halt at the component level; it extends its reach further by delving into meticulous optimizations encompassing logic gate dimensions and set voltage parameters. These refinements, executed with precision, culminate in a substantial reduction in the energy consumption of the multiplier, effectively setting it apart from conventional counterparts. Remarkably, these advances don't merely remain theoretical; they find their footing in practical industry applications, thus birthing a new era in the creation of low-power digital signal filters. The profound implications of this development reverberate far and wide, notably benefiting the realm of low-power digital signal processing and its associated applications.
Airport Cab Drivers' Passenger Carrying Strategy Selection Based on Mathematically Derived Theoretical Models
Authors: Lu Yiqi , Wang Jiahao
Published: January 2024

Cab is an important way for passengers to choose to go to the city in the airport. Cab drivers will send customers to the airport. There are two options to carry passengers, choosing to return to the city to carry passengers or entering the pool at the airport to wait for passengers. How the cab driver to decide to rely on the pool waiting time, the airport of a single day by the time of day the flow of passengers, downtown to the airport in the time required, and other factors. To compare the two options and analyze the influencing factors, this paper establishes a theoretical model of mathematical derivation to find out the scope of application of the two types of options, and to establish a decision-making model for cab drivers to choose. Then, using specific airport data, MATLAB is used to fit the curve to the collected data, and the decision value is calculated by applying integrative science to get the cab's time from the city to the airport, to arrive at the decision-making scheme. Finally, the dependency of the relevant factors is analyzed and the effect of different times of day, season, and fuel cost government-related policies on the revenue coefficient is considered using gray correlation analysis.
Mechanical Properties and Development of Steel Fiber, Polypropylene Fiber and Steel-Polypropylene Fiber Concrete Structures
Authors: Wang Yuxuan
Published: January 2024

Fibre concrete is a commonly improved concrete. Compared with ordinary concrete, it has more excellent characteristics and has been widely used in engineering structures and other fields. This paper describes the mechanical properties of polypropylene fibres, steel fibres, and hybrid fibres (steel fibres and polypropylene fibres); it discusses the use and development of these three kinds of fibre concrete in various professional fields. Steel fibre concrete overcomes the shortcomings of concrete, such as low tensile strength, slight ultimate elongation, brittle, et al., with excellent tensile, flexural, shear, crack resistance, fatigue resistance, high toughness and other properties, has been applied in the field of hydraulics, roads and bridges, construction and other engineering fields. Polypropylene has better crack and impact resistance because of its ability to be uniformly dispersed in the concrete; chemically stable, simple construction has been widely used in the world. Steel-polypropylene hybrid fibre concrete has excellent mechanical properties and economy due to the integration of steel fibres and polypropylene fibres with high strength and toughness. It has a broader prospect in the application of engineering materials.
Analysis of the Ponzi Scheme in P2P Platform: Taking Ezubo as an Example
Authors: Cao Yilin , Zhang Xiaohan , Zhang Xinwen
Published: January 2024

Driven by economic development, P2P online lending platforms have become a new area for the development of the financial industry. The rise of P2P platforms reflected the improvement in people's quality of life and the increasing demand for investment. This is good for economic development, but it also increases the difficulty of market supervision, and investment fraud from the perspective of Ponzi schemes is becoming more and more serious. This paper took Ezubo as an example to study the causes of the Ponzi scheme. According to research, it was found that the formation of a Ponzi scheme was closely related to corporate financial fraud, corporate and P2P risk problems, and social factors. The paper analyzed Ezubo's financial fraud, conducted risk analysis, and made suggestions on risk management and strengthening education. This paper helps to complement the shortcomings of current research on Ponzi schemes, and the advice on such behavior also has some practical implications to help people stay away from investment fraud.
Energy Management System Technology in Smart Grid
Authors: Fang Xinyue
Published: January 2024

The smart grid, envisioned as the future of the power industry, aims to revolutionize energy supply with efficiency and sustainability. This paper extensively examines the critical role of Energy Management System (EMS) technology within the smart grid framework. By harnessing advanced technologies like distributed energy storage, intelligent energy management, electric vehicle charging, intelligent energy dispatching, and fault perception diagnosis, the smart grid promises heightened power system efficiency, reliability, and environmental consciousness. In today's dynamic energy landscape, the integration of renewable sources introduces a unique challenge due to their inherent volatility. EMS emerges as the linchpin, offering real-time monitoring and data-driven optimization to ensure grid stability amid fluctuating supply. The smart grid, with advanced information technology and intelligent control strategies, leans heavily on EMS for seamless energy production, transmission, and consumption. However, challenges persist, encompassing stable energy supply, security, infrastructure upgrades, and cross-border standardization. Yet, with sustained technological innovation and collaborative efforts, a future of intelligent, sustainable, and reliable power systems is attainable. In conclusion, EMS integration into the smart grid not only signifies technological progress but also heralds a monumental shift towards a greener, more sustainable energy landscape. This paper provides a comprehensive exploration of how EMS, as the backbone of the smart grid, empowers us to navigate the complexities of modern energy demands, paving the way for a brighter, more efficient future.
Research on Factors Affecting China's Birth Rate and The Relation Between Economic Development and The Birth Rate
Authors: Yang Xinyu
Published: January 2024

Many scholars have previously studied the birth rate and its development, but there are still gaps in the research on which factors play a dominant role in the birth rate. Therefore, this paper will provide a clear study of this issue, using China as an example to help major countries solve the problem of low birth rates and economic development. The population issues caused by low birth rate were researched and the main factors for birth rate were found from research. The decisive factors that determine the birth rate in China were analyzed. The link between birth rate and economic development is examined. This study figures out that the two main factors that influence the birth rate are the divorce rate and the female employment rate. There is a relatively strong correlation between the birth rate and economic development. The formula and the principle of Vector Autoregressive (VAR), Bayesian Information Criterion (BIC) and Times Series Graphical lasso (TSGlasso), were researched and used.
Demand Prediction and Influencing Factors Analysis of Shared Bicycles near Public Transportation Stations based on GCN
Authors: Chen Zihao , Ding Tong , Zheng Chaohui
Published: January 2024

Traffic prediction is a pivotal technology in the development of intelligent transportation systems. Real-time and accurate traffic prediction holds significance in route planning, resource allocation, and improving travel efficiency. To enhance the convenience of shared bicycle travel near public transportation hubs and optimize shared bicycle deployment strategies, this paper proposes the utilization of a graph convolutional neural network prediction model. Initially, shared bicycle travel data is scrutinized for spatiotemporal characteristics. Subsequently, an adjacency matrix is constructed based on the spatial attributes of the data to establish the graph convolutional network. Lastly, global spatial autocorrelation analysis and a coupled coordination model are integrated for validation and augmentation. This model is employed to predict shared bicycle travel patterns near public transportation hubs in the Xiamen Island area. Experimental results demonstrate a high level of precision, underscoring the model's effectiveness in providing valuable guidance for shared bicycle travel. The effectiveness of this method can be further verified in subsequent empirical studies.
Current Status and Prospects of Robot Dog Application
Authors: Tang Fu
Published: January 2024

In the era of rapid development in computer science, artificial intelligence (AI), and the Internet of Things (IoT), robotics has undergone continuous updates and iterations. People have been exploring various application areas for robots, with robotic dogs standing out prominently. These robotic dogs are highly anticipated due to their remarkable attributes of high flexibility, adaptability, and stability. They have become a powerful magnet, attracting numerous technology companies worldwide. The market prospects for robotic dogs are extremely broad, as they can be applied in areas such as companionship, rescue operations, reconnaissance, and logistics. Furthermore, they also generate significant social discourse, making research on robotic dogs highly valuable. This paper provides a brief overview of the application scenarios of robotic dogs in the domains of home companionship and natural disaster rescue. It summarizes the relevant technologies and current developments utilized in these two fields and offers a glimpse into the future applications of robotic dogs.
The Research and Forecasts on Real GDP Growth and the Unemployment Rate in the United States
Authors: Zhong Shan
Published: January 2024

Empirically, the real GDP growth rates and the unemployment rates are typically negatively correlated. From the post-COVID-19 era, countries around the world have not fully recovered from the pandemic. In this case, forecasts of GDP growth and unemployment rate are a vital reference for governments to recover economies in the future. This study collected the real GDP and unemployment rate data of the United States from 1948 to 2023, studied their relationship through linear and nonlinear regression, and predicted their future trends, respectively, with the ARIMA model. By comparing linear regression and nonlinear regression (locally estimated scatterplot smoothing) between the GDP growth rate and change in the unemployment rate, this study found that nonlinear regression can more accurately express the relationship between these two factors. The forecasts of GDP growth rates and unemployment rates provided by the ARIMA model show a relatively optimistic future with healthy GDP growth and low unemployment. However, wide ranges of confidence intervals also pointed to the danger of low GDP growth and widespread unemployment. The relationship between GDP and unemployment and their projections in this study serve as valuable references for future economic planning and incentive policies in the U.S. government. It may also be applicable to other countries that have similar economic conditions.
Enhancing the Well-Being of Uber Drivers: Insights and Strategies from DiDi
Authors: Gu Yuchen
Published: January 2024

The rise of the sharing economy, epitomized by Uber, has revolutionized work dynamics. Uber, with its allure of flexibility and accessibility, has empowered countless individuals to explore new avenues of employment. However, within this transformative landscape, unique challenges have taken root, particularly affecting those who rely on Uber as their primary source of income. With Uber's driver community now numbering over 5.4 million strong, the imperative to address these challenges has become increasingly pronounced. This study embarks on an exploration of innovative operational solutions, drawing inspiration from the practices of Didi, the ride-sharing juggernaut in China. It addresses income instability through fairer commissions and surge pricing incentives, combats isolation with community-building features, and tackles discrimination with enhanced driver rating systems through different tags. By embracing and implementing these multifaceted strategies, Uber has the potential to fortify its platform, fostering a mutually beneficial ecosystem that not only bolsters the company's growth but also enhances the livelihoods of its dedicated drivers.
The Direction of the Cryptocurrency: Current and Future Perspectives
Authors: Tang Qihang
Published: January 2024

The development of technology has brought multiple changes in the economy, one of them being how people purchase goods and services. Technology has improved online business and how payments are made through digital means. Initially, people used to make payments using their credit cards, but the invention of digital currency has eased the transaction process. Cryptocurrency has emerged as the newest way for people use to make transactions. The majority prefers cryptocurrency since it is faster and does not require intermediaries like the traditional mode of payment. However, various issues have emerged that may influence its development. Security issues and scamming have become rampant, which has discouraged investors. In addition, cryptocurrency experiences huge volatility, which may discourage people from investing since failure to have previous data may made the investors fail to predict the prices. Fraud and the presence of scammers have discouraged people from investing since they fear losing their fortune from these individuals. The continuous adoption of cryptocurrency has made the organisation invest in cryptocurrency to diversify its portfolio risks.
Unlocking The Potential of Gallium Nitride (Gan) For Third-Generation Semiconductors: Advantages, Applications, And Future Prospects
Authors: Chen Sihan
Published: January 2024

Wide-bandgap materials, exemplified by gallium nitride (GaN), are poised to elevate electronic performance to new heights. This paper is focus on the third-generation semiconductor which is considered as the most promising semiconductor. The first section will discuss the fundamentals of CMOS and HEMT, including their construction, operation, benefits, and properties. The two are next be compared, and it is revealed that although GaN has some limitations on its cost and manufacture, it also having higher energy gap, compact size, higher efficiency, lower switching losses. Meeting the increasingly rigorous requirements associated with high power and high-density applications requires the use of these advantages. Then, using examples from the aerospace, mobile phone chargers, and LiDAR fields, applications of GaN HEMTs are discussed. The issues and prospects for third generation semiconductors are finally went over. It shows significant potential for energy efficiency benefits in infrastructure, and it is intriguing to see how the new semiconductor generation develops in the next few years.
The Current Achievements and Existing Shortage of Immune Checkpoint Inhibitor
Authors: Li Jia
Published: January 2024

Immune checkpoint inhibitor (ICI) is drug used to treat cancer by blocking immune checkpoint molecules and activating the immune system to attack tumor cells. ICI has limitations, including varying patient immune tolerance, immune-related adverse events, and unclear biomarkers. However, it is currently the most widely used, versatile, and highly effective immunotherapy drug. By comparing the efficacy of ICI with other treatment methods and citing examples of its breakthrough role in different cancers, the superiority of ICI is demonstrated. At the same time, it still has great potential and clinical value in the field of immunotherapy, and there is great room for development in both the design of new targets and the new application of known targets. This article discusses the advantages of ICI, particularly when combined with radio chemotherapy and chemotherapy, in cancer treatment. The summary outlines its mechanism of action, current applications, achievements, and limitations in the field further needed to be addressed.
The Applications of NFTs and AI in League of Legends
Authors: Shi Leili
Published: January 2024

The convergence of Non-Fungible Tokens (NFTs) and Artificial Intelligence (AI) has catalyzed a revolutionary transformation within the gaming industry. NFTs have emerged as a game-changer by endowing players with authentic ownership of in-game assets, unlocking unbridled creative potential, and nurturing player-centric economies. Simultaneously, AI has taken gaming experiences to unparalleled heights, seamlessly tailoring gameplay to individual preferences, ushering in stunning graphics realism, and providing in-depth analytical insights. However, this dynamic union is not without its challenges. Market volatility within the NFT space demands careful consideration to ensure both players and developers navigate this nascent terrain judiciously. Ensuring fairness in NFT-driven gaming ecosystems is imperative to maintain gameplay balance and overall player satisfaction. Additionally, concerns about the environmental sustainability of blockchain technologies, often underpinning NFTs, must be addressed through innovative, eco-friendly solutions. As the gaming industry continues its inexorable march forward, the synergy between NFTs and AI holds the promise of fundamentally redefining player engagement, innovation, and immersion. Players find themselves in worlds crafted precisely to their desires, where their virtual possessions hold tangible real-world value. Yet, it is essential for stakeholders to deftly navigate the evolving landscape, embracing the multitude of opportunities and complexities that shape the future of gaming. This fusion of NFTs and AI marks a watershed moment, poised to reshape the gaming landscape profoundly and usher in an era of unprecedented possibilities.
Differences Of Multiple Factors Affect Prediction of Traffic
Authors: Li Haoyang
Published: January 2024

Intelligent transportation system (ITS) helps to control traffic to protect pedestrian’s life and decrease the time cost of transportation which can help reduce the potential risk of accident. The most significant thing in ITS is the prediction of traffic flow. There already have many ways to predict the traffic flows. However, most of those method doesn’t realize that different factor has different effect and time cost. Time cost of a factor does not discuss in this paper. The purpose of this paper is comparing different factors that may affect traffic to find out which one affects traffic the most. Training models are used to compare the effect of those factors and relative error are used as accuracy. As a result of the study, time in a day affects traffic more in holiday, temperature, rain volume, snow volume, cloud cover, and the time in a day. This may mean that people more prefer to driving based on time not on weather.