bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of the Belt and Road Initiative on Cross Border E-Commerce
Authors: Qian Xuewei
Published: December 2024

This paper examines the impact of China's Belt and Road Initiative (BRI) on cross-border e-commerce. Starting in 2013, the BRI has significantly enhanced the connection between China and over 150 countries through substantial infrastructure investments and particular policies. The study analyzes how these developments have reshaped the landscape for cross-border e-commerce. This paper discusses three vital changes: infrastructure construction, market demand changes, and policy implementation. The improvement of infrastructure increases the efficiency of e-commerce platforms. Besides, the BRI promoted the demand in the new market, inspiring e-commerce companies' prosperity. Furthermore, as proposed by China and participating countries, many supportive financial policies, such as Bilateral Currency Swap Agreements, have also facilitated smoother cross-border transactions. However, the paper also reveals some challenges, including cultural and linguistic barriers, intense local competition, and logistical hurdles. Despite these barriers, the study finally concludes that the BRI has created a more interconnected economic landscape with substantial potential for the growth of cross-border e-commerce, likely to reshape global trade patterns in the coming years.
Market value analysis of large enterprises under the background of US economic fluctuation
Authors: Lv Zijin , Zhang Zhida
Published: December 2024

Since the second quarter, US inflation has fallen as expected, while the job market has cooled more than expected, and under the concern of recession risk, the market's expectation of the Federal Reserve's interest rate cut has risen, and the corresponding US Treasury interest rate has also fallen from a high. The market has basically confirmed that the Federal Reserve will start the process of cutting interest rates in September, but there are still some differences in the judgment of the rate cut and the pace of future rate cuts. From the latest employment and inflation data, although the unemployment rate in July "technically" touched Sam's rule, but from the perspective of the relative pull of supply and demand in the labor market, the current job market cooling is more caused by the increase in labor supply than labor demand, and the recession cycle caused by the sharp contraction of job supply in the past is different, and inflation has fallen as scheduled but there are hidden worries. In particular, the stickiness of service inflation has not been effectively alleviated, and the pressure on housing and transportation prices and costs is still large. Based on this current situation, the market generally believes that the Federal Reserve will slightly cut interest rates by 25bp in September, which is also more consistent with our expectations.
The Barriers to Equitable COVID-19 Vaccinations and How Public Health Strategies can Improve Vaccine Uptake in Low-income Communities
Authors: Cai Yiyou
Published: December 2024

The COVID-19 pandemic is a global public health crisis caused by the SARS-CoV-2 virus, it led to severe health, social, and economic impacts. Significant inequalities in vaccine distribution have been recognized through after and during the pandemic, particularly in low-income communities. This essay explores the barriers to equitable COVID-19 vaccine distribution in low-income countries, focusing on economic constraints, limited healthcare infrastructure and vaccine hesitancy. Addressing these disparities and multilayered challenges involved in increasing vaccination rates, the essay communicates how public health strategies can be optimized and enhanced through making vaccination more easily accessible by the public, such as constructing a larger number of mobile clinics or community-based vaccination sites and building trust through targeted communication and education. Throughout the essay, the significance of ensuring equitable vaccine access is emphasized as it is believed to be a critical component of public health preparedness and resilience. The avertable issues caused by the limited access of vaccine are valuable lessons that are learned from the COVID-19 pandemic, and this can inform future strategies to address broader public health inequities and improve health outcomes for the underserved populations.
The Embodiment of Cultural Collision and Intermingling in International Education: Taking Language Courses as an Example
Authors: Meng Zhengjie , Meng Yuechen
Published: December 2024

Based on the theory of cross-cultural adaptation and cultural identity, this paper offers a thorough examination of cultural collision and interaction within language curricula. It explores how teaching materials reflect cultural diversity, how classroom teaching facilitates cultural exchange, and how subject evaluation incorporates multicultural values. The analysis reveals that the integration of diverse cultural perspectives in educational settings plays a crucial role in shaping students' understanding and adaptability in a globalized world. By scrutinizing the dynamics of cultural collision—where differing cultural norms and practices intersect—the study highlights both the challenges and opportunities inherent in international education. It emphasizes the importance of addressing these issues proactively to enhance the effectiveness of language teaching and foster a more inclusive learning environment. The paper concludes that the blending of cultures not only enriches the educational experience but also poses significant challenges that must be navigated thoughtfully to maximize the benefits of multicultural education.
The Impact of the Belt and Road Initiative on Regional Economic Disparities: Dual Effects of Infrastructure and Trade Openness
Authors: Zhou Haochen
Published: December 2024

The objective of the Belt and Road Initiative (BRI) is to foster equitable global development, however, during the implementation process, the policy's economic growth effect is not uniform throughout all regions, which leads to the potential of increasing regional economic disparities. This paper adopts a literature review approach to elucidate the effects of the Belt and Road Initiative on regional economic disparities, focusing on infrastructure and trade considerations for policymakers. It will sort out the theoretical background of regional economic disparities and will examine the impact of infrastructure investment as well as trade openness on specific regional economic disparities. The study finds that infrastructure investment and trade openness mainly affect inter- and intra-regional economic disparities, respectively. Infrastructure investment benefits Southeast Asia and South Asia significantly more than Central Asia and Eastern Europe, and the eastern coast of China significantly more than the inland regions. Trade openness is more effective in converging income disparities within countries with lower levels of economic development, but it may exacerbate economic disparities within middle- and high-income countries. The paper concludes that although the Belt and Road Initiative has attained certain successes, there is still a risk that it will exacerbate regional economic disparities. The findings help policymakers to further optimize regional policies to achieve the initiative's goal of rebalancing the global economy.
Application of Utility Maximization by Using the Cobb-Douglas Function
Authors: Wang Shiyue
Published: December 2024

This paper is going to research about the application of utility maximization by using the Cobb-Douglas function. This paper will change the factors into the variables and use the Cobb-Douglas function to find which factor has the greatest effect to the utility maximization. The application of utility maximization in this paper is the growth of economic in different places. This paper includes four parts which are Introduction, methods and theory, as well as result and conclusion. First, the introduction will introduce the background of this paper and make some conclusion of some essay of utility maximization. Then, the method and theory will introduce the method of this paper and introduce what is the Cobb-Douglas function. Next, the result part will use the Cobb-Douglas function to find the result of the application of utility maximization in different places. In the end, this paper will make a conclusion by using the data in different places. This paper finds some factors which is the biggest effect to the utility maximization.
Analysis of Excess Management Behavior of Controlling Shareholders of Listed Companies under Equity Pledge
Authors: Gang Yulu , Yu Bulei
Published: December 2024

With the vigorous development of China’s capital market and the increasing maturity of the securities market, a variety of financial instruments and financing methods have emerged. “Equity pledge” stands out among many financing methods due to its low financing costs, high financing efficiency, and greater flexibility and diversification, becoming the most favored choice for controlling shareholders of listed companies. However, because the equity pledge ratio of controlling shareholders in the company is often high, this not only provides a convenient financing channel but also exposes significant risks. Taking ST Xuefa, a textile and apparel company, as an example, this paper delves into the characteristics of equity pledge by the controlling shareholders of the company and focuses on analyzing the motives and preferred methods of earnings management by controlling shareholders of listed companies in the context of equity pledge.
“Fast” or “Slow”: Chinese Clothing Comparison between Commercialization Promotion and Archaeological Inheritance
Authors: Lu Wenhuan
Published: December 2024

The research background of this paper is based on the proposal of the 14th Five Year Plan for Cultural Development, mainly discussing whether the current Chinese clothing culture needs more commercial promotion of fast fashion or slow paced and refined research on clothing archaeology inheritance. “Fast” refers to the commercial promotion of fast fashion, and “slow” refers to the fine research of clothing archaeology. The paper discusses the advantages and disadvantages of Chinese culture in commercial promotion and clothing archaeology research by using two research methods: literature review and practical investigation. These two perspectives are compared, and feasible suggestions are proposed. This study argues that the commercialization of fast fashion and slow-paced archaeological research on clothing have their own advantages and disadvantages. How to combine and improve optimization has become a key issue. The entire paper’s discussion has profound significance for the inheritance and dissemination of clothing to the public.
Research on the Development of Disneyland’s Business Model
Authors: Liu Sixuan
Published: December 2024

The Disney Park business model has undergone a significant transformation, evolving from a primary reliance on ticket sales to a diversified revenue structure that now includes merchandise, resort services, and brand licensing. This paper explores the strategic evolution of Disney's business approach, particularly in response to technological advancements and global expansion. The objective is to examine how Disney effectively balances its traditional cultural elements with innovative strategies to maintain its leadership in the global theme park industry. Key areas of focus include the integration of emerging technologies such as artificial intelligence, big data analytics, and virtual reality, all of which enhance the visitor experience and improve operational efficiency. Additionally, the study emphasizes the importance of Disney's global market expansion and the localized adaptations of international parks, such as Shanghai Disneyland, which have been critical to its success. The findings indicate that continuous innovation, a seamless integration of online and offline strategies, and a strong focus on sustainability are essential for Disney’s future competitiveness. The study concludes that adaptability, technological investment, and cultural consistency will drive Disney's continued global leadership in the entertainment industry.
Analysis of spatiotemporal changes in bicycle rental demand: Taking New York as an example
Authors: Wang Guanbo
Published: December 2024

In order to optimize the rental patterns of public bicycles and the allocation plan, the temporal and spatial movement laws of public bicycles should be obtained. Propose a distribution model and time trend model for public bicycles at different time points and rental locations. Take New York city as an example, based on the public bicycle travel data in New York City, a reference plan for the allocation of rental points was proposed using the moving average time model, kernel density method, and decision tree regression model.
Summary and Optimization Analysis of Water Quality Detection System Based on IOT
Authors: Bao Yongxing
Published: December 2024

In essence, the water quality monitoring system based on IOT is to detect the water quality data in different areas in real time and control water pollution effectively. It is an important problem to optimize the efficiency of upgrade detection based on IOT system and other technologies. In order to optimize and upgrade the IOT water quality monitoring system, this paper summarizes the working principles and functions of different types of IOT water quality monitoring systems at home and abroad, and puts forward some suggestions. On this basis, eight feasible system schemes including embedded system are summarized. If the technology can be improved and upgraded accordingly, it can be popularized and applied in a large area in the near future.
Comparison and Optimization Strategies of New Energy Vehicle Industry Policies in China and the United States
Authors: Zhou Yiyu
Published: December 2024

It carries out a comparative analysis of the new energy vehicle industry policy in China and the United States. The focus is on new energy vehicle policy differences between China and the United States and their optimization strategy. With each passing day, global energy and environmental problems worsen. And countries are actively seeking energy transformation to achieve low-carbon and sustainable development. New energy vehicles are essential to achieving energy transformation and are significant to sustainable economic growth. The comparison of policies between China and the United States in this area helps analyze their impact on the economic development of the two countries. Therefore, this comparative analysis of policy in China and the United States comes in handy to help diagnose the influence the policies have had on the two countries' economic development. Policymaking in both countries has rested on government-led subsidies and infrastructure expansion in China and market incentives and private enterprise cooperation in the US. Because of this, the paper will propose some optimization suggestions based on comparative policy analysis in terms of relative advantages and disadvantages to emphasize how balance can be sought in promoting government intervention and market forces to accelerate the popularity of new energy vehicles and seek sustainable traffic. Comparison and optimization strategies of new energy vehicle industry policies in China and the United States.
An Analysis of the Current State of Human Resource Management in Chinese State-Owned Enterprises and Strategies for Development Optimization: A Case Study of Electric Power Companies
Authors: Geng Yuyao
Published: December 2024

In the age of knowledge economies, to promote social and economic development, talent is a key resource, which is especially important in the power industry. If electric power enterprises want to achieve efficient development, they need to pay attention to and optimize human resource management and attract high-quality talent to enhance the vitality of the business. However, some enterprises have shortcomings in management concepts and performance systems, which limit employees' potential and affect competitiveness. To solve these problems, electric power enterprises need to update the management concept, improve the performance system, stimulate the enthusiasm and creativity of employees, and promote the sustainable development of enterprises. It is hoped that through the research of this thesis, we can solve many difficulties in human resource management of the enterprise, have a certain theoretical support for the design of human resource management plan of the enterprise, and have a reference for the detailed criteria decision-making of human resource development and management in the later stage of enterprise.
The Influence of Digital Application in Family Education on the Social Adaptability of Children Aged 3-6 Years Old
Authors: Zhang Chaoran
Published: December 2024

With the rise of ChatGPT and the development of the information age, the use of digital applications in education has aroused extensive discussion among scholars. The relationships between digital applications and family education in early-aged children and their development of social adaptability have also become an urgent problem to be studied. Based on this background, this study uses the literature review method to focus on whether the digital application in family education will impact on the social adaptability of 3-6-year-old children. Through research, it is concluded that digital education resources can promote children’s emotional expression ability and emotional control ability, but long-term use of the network may have adverse effects on children’s bodies, which is not conducive to the development of children’s social adaptability. At the same time, the digitization of family education may bring about a digital divide between families, and the co-construction and sharing of digital resources should be promoted. Parents should actively adapt to the digital background of family education from their point of view to encourage the development of children’s social adaptation so that children can smoothly transition to school and society to learn and grow.
Analysis of the Causes and Therapeutic Effects of Cat Diarrhea
Authors: Feng Yuce
Published: December 2024

The purpose of the research is to provide an in-depth understanding of the mechanism and therapy of cat diarrhea by using secondary research which means the aim of this study is to provide a detailed analysis of the causes and treatments of cat diarrhea, with a strong emphasis on feline health. It extensively delves into various factors contributing to cat diarrhea, distinguishing between dietary issues such as intolerance and parasitic infections. Additionally, the paper thoroughly examines the clinical symptoms associated with cat diarrhea. Drawing from the research, the authors propose multiple therapeutic approaches and treatments designed to reduce cat diarrhea, thereby improving the overall health and well-being of felines while alleviating their discomfort. It is hoped that the findings from this review are clinically relevant for use in establishing an optimal treatment regimen and improving the quality of life among cats with diarrhea, which would be beneficial to a wide range of sufferers.
A Literature Review of New Direction in Implicit and Explicit Stereotypes Researches
Authors: Zhu Yicheng
Published: December 2024

Implicit stereotypes are first noticed in the 1980s, nearly half century later then explicit ones. Since then, an array of indirect methods such as Implicit Association Test (IAT) and Attention Misattribution Procedure (AMP) were invented to further analyze this subtle subject. Recently, with the development of Internet and AI, researchers have generally combined these emerging techniques with conventional study on explicit and implicit stereotypes. The current review mainly introduces three new direction of stereotype study and analyzes a basket of representative and comprehensive researches, as examples, to propose the main strengths and weaknesses of these techniques. First, stereotype tests via Internet have strengths of large samples, improved accuracy, and raising public awareness, but they suffered from non-random recruitment and unstable judgment. Second, applying word embedding to stereotype study has strengths of improved efficiency and comprehensiveness, as well as tracing back history, but it suffered from limitation as book texts and limited samples. Third, utilizing Large Language Models (LLMs) to stereotype study is yet a new direction with little published researches, but the current review cautions that the divergence between human thoughts and LLMs’ outputs may matter. In conclusion, the current review postulated that these three directions have a promising future and can deeply inspire further study.
Analysis Of Educational Equity in China from The Perspective of Gender Differences
Authors: Gong Zhuoran
Published: December 2024

Currently, the topic of educational fairness in China is a significant societal concern; nevertheless, there remain several deficiencies in the study of educational equity from the standpoint of gender disparities across various locations. This study examines the current state of educational equity in China through the lens of gender disparities, particularly focusing on variations in access to educational opportunities, distribution of educational resources, and achievement of educational results across genders. It reveals that while awareness of gender equality has increased in recent years, women still face obstacles in some key areas. This analysis shows that although legal frameworks and policies promote gender equality, there are still many challenges in practical implementation. For instance, females in rural regions have greater dropout rates compared to males, and women are underrepresented in STEM (science, technology, engineering, and mathematics) disciplines within higher education. Sociocultural variables and conventional gender norms also constrain women's education and job advancement to a certain degree. Based on this, this paper puts forward the following suggestions: First, strengthen the role of family education in gender equality education. Second, increase educational input and optimize the allocation of educational resources. Third, strengthen gender equality education and change the social gender concept; Fourth, strengthen social publicity on gender equality through the media and public policies to change the stereotype of traditional gender roles.
Research on the Design of B&B Architectural Space Under the Characteristic Culture of Danjia: A Case Study of Jiangkou Fishing Village, Gaoyao District, Zhaoqing City
Authors: Zhang Hong , Guan Yingying , Liang Shiyi , Mo Xiaoyou , Lin Ying
Published: December 2024

In the context of the comprehensive rural revitalization strategy, the country house has become a major driving force for the development of the rural economy, but in recent years, the problem of homogenization of country houses has become more and more serious, which has greatly affected the development of the rural economy. This paper summarizes the key points of the architectural design of Danjia cultural homestay, hoping to provide reference for the architectural design of rural homestays.
Exploring the Determinants of International Students’ Mobility Destination from macro-level
Authors: Li Zhe
Published: December 2024

With regard to economic recession and intense resource distribution in the post-pandemic period, nationalism appears and more restrictions for international students’ mobility (ISM) are carried out. However, the education is marketized and abundant universities regard international students’ financial support. Thus, the research aims to investigate the macro-level factors of international students choosing destination countries and the factors’ significance. The research adopts theory framework of PESTLE to identify the determinants. And it applies several international organizations’ statistics, OECD, World Bank Group, etc., in the last five years. The statistics are analyzed through descriptive analysis, Spearman correlation, multiple linear regression and a regression model is constructed. The unexpected results indicate that tuition fees and crime rates facilitate ISM development, while GDP is negatively related to ISM. Corresponding conclusions are drawn that prestigious universities located in cosmopolitan cities with high crime rates still attract international students. Also, those universities dominate the decision of high tuition fees for their educational reputation. Meanwhile, international students with deficit academic skills and socioeconomic status have to make a compromise when choosing the destination countries.
Analysis of Optimization Strategies for Tesla's Cost Management
Authors: Gao Xiwang , Jing Hong , Zhang Huaiyu
Published: December 2024

In recent years, as the global emphasis on sustainable development has intensified, the new energy vehicle industry has emerged as a pivotal sector in economic transformation, with both government policy support and societal expectations driving increasingly fierce competition within the field. For new energy vehicle companies to stand firm amidst the intense market competition and enhance profitability, they must implement forward-looking strategic adjustments in cost management. This research, relying on the perspective of the value chain, delves deeply into the mechanisms of corporate cost management, aiming to broaden the scope of management insights and precisely identify cost reduction opportunities and value-added potential. Taking Tesla as a case study, this paper conducted a detailed analysis of the operational efficiency and management wisdom of each link in its value chain. Based on the theory of value chain cost management, this paper proposed a series of targeted optimization strategies, focusing on supply chain leanness and production process efficiency, in an effort to provide Tesla and its industry peers with a reference path for cost optimization. These efforts are expected to have far-reaching implications for promoting the sustainable development and profitability enhancement of the new energy vehicle industry.
Effects of locations on the CO₂ Emissions of E-Cars Compared to Internal Combustion Engine Cars
Authors: Yang Feifei
Published: December 2024

This paper focuses on the effects of locations on the CO₂ emissions of electric cars compared to internal combustion engine cars. The transportation sector is a major contributor to CO₂ emissions, and the adoption of electric vehicles is seen as a potential solution. However, the environmental footprint of EVs needs to be assessed through Life Cycle Assessment (LCA), considering factors such as the energy mix, manufacturing processes, and end-of-life management. The geographical location plays a crucial role, as regions with different energy mixes have varying lifecycle CO₂ emissions for EVs. Additionally, temperature impacts the emissions of both ICEVs and EVs. In low-temperature environments, ICEVs' emissions increase significantly, while for EVs, temperature affects battery performance and energy consumption. Through a comparative analysis, it is found that although EVs may have higher emissions in some stages, their total carbon emissions are 22.4% less than that of ICEVs. Understanding these factors is essential for making informed decisions towards a greener transportation future, and further efforts are needed to reduce the environmental impact of both vehicle types through technological advancements and policy interventions.
Intercultural Dialogue in Art Education: Practices and Reflections on the Integration of Chinese and Foreign Art
Authors: Li Xiang , Ren Jiayi , Sun Longfei
Published: December 2024

Art integration has become a hot topic nowadays and is worthy of attention, but at present, due to the imperfection of the education curriculum system and the cultural differences between learners, the process of “art integration” is difficult to complete. This paper studies the case of the integration of Chinese and western art education, analyzes its current situation to find out the advantages of its development, and gives suggestions based on the shortcomings. It is found that the integration of Chinese and western art education has gradually penetrated life, and has a positive impact on the development of cultural horizons and the cultivation of diversified artistic thinking, the enhancement of the sense of cultural identity and cultural understanding, and the improvement of creative and critical thinking, etc. However, it also needs to be further strengthened and improved in terms of the design of cross-cultural curricula, cross-cultural art expression strategies, and the cultivation of students' innovative thinking cooperation and communication abilities. However, it also needs to be further strengthened and improved in terms of cross-cultural curriculum design, cross-cultural art expression strategy and cultivating students' innovative thinking cooperation and communication ability. This paper summarises the development of the integration of Chinese and foreign art education at present and provides a comparison and direction for the further improvement of this field in the future.
Split the River Edge in Derry
Authors: Yuan Meng
Published: December 2024

This essay first explains the importance of Foyle River to Derry City and the relevant content of Foyle River Edge and analyzes how to split the independence of the hard edge of Foyle River. In addition, it also studies how to split the convention of urban edge space with obvious boundaries while discussing how to split this hard edge, laying a theoretical foundation for the construction of architectural space functions and its spatial order and place image. On this basis, combined with practical cases, it seeks ways to split the constraints of rivers in urban edge space, explores ways to enhance the sense of identity, experience and place, and realizes the communication and integration of people, buildings and nature, providing a theoretical basis and thinking strategy for activating urban edge space, while promoting the vigorous development of the community and creating a vibrant riverside edge.
Exploring The Question of Why Knowledge Is Often Supposed to Have More Value Than Justified True Belief
Authors: Feng Zhongwenyue
Published: December 2024

Knowledge has always been supposed to have more value than true beliefs. This is because the process of attaining knowledge has often been intended to involve more trials than obtaining a true belief, which gives knowledge more value. However, the definition of such trials is vague. In addition, sometimes essential pieces of knowledge are obtained by luck, which means an absence of such trials and the knowledge's possession of high value. Even though we can define such trials, it is hard to relate the value of obtaining knowledge with knowledge itself. This article seeks to find 1). How is knowledge more valuable than true belief or 2). If knowledge is not prior to true belief because of value, what does knowledge have in addition to true belief? The article starts by analyzing the value problem. The value problem suggests that knowledge does not have an additional value comparing to true beliefs of the same content, since knowledge is true beliefs formed reliably. Then, the article seeks to find a solution to the value problem. Arguments from Zagzebski about virtue epistemology are analyzed and criticized. Then, the concept of epistemic virtue is used to solve the problem. This research can provide readers with a viewpoint that allows them to consider the value problem of knowledge from another perspective.
Financial and Strategic Analysis of Microsoft Corporation in Technology Industry
Authors: Liu Leying
Published: December 2024

In recent years, the global technology industry has experienced rapid growth driven by digital transformation and emerging technologies. As a leader in the industry, Microsoft Corporation has maintained a strong market position through continuous innovation and strategic expansion. This study aims to provide a comprehensive analysis of Microsoft's financial performance and strategic initiatives over the past few years. By utilizing macroeconomic data, industry trends and company-specific financial indicators, it provides an in-depth exploration of Microsoft's operational efficiency, risk profile and growth potential. In terms of research methodology, a combination of qualitative and quantitative analyses is adopted, which is conducive to providing more comprehensive and in-depth solutions to practical problems. The results of the study show that despite the fluctuations in the macroeconomic environment and the intensification of competition in the industry, Microsoft has maintained solid revenue growth and profit enhancement, as well as sustained its competitive advantages in the global market and achieved leapfrog development.
The Impact of Sucralose on Blood Glucose Levels in Diabetic Patients
Authors: Chen Wenlin
Published: December 2024

The objective of this study was to comprehensively and scientifically evaluate the relationship between sucralose, a popular artificial sweetener, and the rise and fall of blood sugar levels in diabetic patients. This paper adopts the literature research method and integrates a large number of relevant authoritative literature to explore the possible effects of sucralose on diabetes patients in two aspects: long-term and short-term. Although the safety of sucralose is widely recognized, this study focuses on its potential effects on insulin sensitivity. The results of this study point to the importance of the dose of sucralose intake in diabetic patients and look forward to further research on the metabolism of sucralose.
Real-time Optimization Method of Drilling Fluid Rheological Model Based on Pipe Viscosity Measurement
Authors: Yang Hai , Zhang Peng
Published: December 2024

The rheology of drilling fluid is crucial for bottom hole pressure control, hydraulic fracturing, and wellbore stability. Currently, manual methods like rotational viscometers are used on drilling sites, which have long measurement cycles and are prone to human interference. Existing online measurement devices with pipe viscometers are affected by fluid pulsation from diaphragm pumps and motor vibrations, making it hard to accurately determine and monitor rheological parameters in real-time. To address these issues, this paper proposes a real-time optimization method for the rheological model of drilling fluid based on a pipe viscometer. First, the rheological model of drilling fluid and the calculation method for piep viscometer parameters were analyzed, and a pulsation interference suppression model for the pressure difference in the rheological measurement pipe based on empirical mode decomposition was established. Then, preprocessing and regression analysis of the drilling fluid rheological model were carried out, and a real-time optimization method based on univariate linear regression and the golden section search algorithm was constructed. Finally, an experimental platform for online monitoring of drilling fluid rheology using a single measuring pipe was set up. Experimental results show that the proposed method effectively suppresses pulsation interference on the pressure difference in the measuring pipe. The shear stress-shear rate rheological model curve of the drilling fluid better matches the manual rotational viscometer parameters compared to directly measured parameters. The real-time optimization accuracy of the drilling fluid rheological model exceeds 95%, significantly improving the real-time measurement accuracy of drilling fluid rheological parameters.
Financial Analysis of the Stock and Company Performance of the Technology Industry
Authors: Wu Joshua
Published: December 2024

Rapid advancements in artificial intelligence (AI) and big data fuel the technology industry’s growth. Many technology companies fund new opportunities to create groundbreaking technological innovations through AI. This paper offers a comprehensive financial analysis of three major technology companies- Meta Platforms Inc., Nvidia Corp., and Alphabet Inc. - to evaluate the best investment opportunities within the industry by interpreting company data and growth potential. These companies’ growth potential and financial health are evaluated through ratio analysis, such as market, profitability, and risk ratios, and technical analysis, through momentum analysis. The findings highlight Meta’s initiative of the Metaverse and the integration of its AI, Nvidia’s dominance in AI-driven hardware and chips, and Alphabet’s AI products and diverse revenue streams. The overall conclusion highlighted all three companies’ long-term value, but Nvidia stood out among the three companies as it has shown expansive company growth and extensive future outlooks in a vastly AI-driven industry. This analysis aims to illustrate the changing technological landscape and to provide investors with informed investment decisions.
Research on energy consumption optimization of RetinaNet model based on lightweight improvement in edge intelligent terminals in power system
Authors: Mu Yi
Published: December 2024

With the increasing application of edge computing in power systems, intelligent terminal devices are facing new challenges in processing capabilities and energy optimization. As a highly efficient target detection model, RetinaNet's potential application in edge intelligent terminals of power systems has not been fully explored. This study proposes a lightweight model based on the convolutional neural network RetinaNet. Multiple lightweight models are used to replace the original backbone network ResNet for comparison. The best model is selected while ensuring accuracy. Redundant connections in the model network are pruned through channel pruning to reduce model size and improve detection speed. The results show that compared with the original algorithm, the RetinaNet model proposed in this study reduces parameter count by 73%, decreases computational load by 41.8%, reduces model size by 72.7%, and only decreases the mean average precision (mAP) value by 1.8 percentage points.
Analyzing the Educational Inequality Between Coastal and Inland Areas of China From an Economic Perspective
Authors: Huang Ruyi
Published: December 2024

As society develops, education has become an important factor affecting personal growth, social progress, and national prosperity. China is currently showing differences in economic development among different regions, and similar trends are also emerging in education levels. How to achieve educational equity has also become a hot topic. Many researchers have conducted research from many perspectives, but there is still a gap in discussions that differentiate between regions and focus on economic perspectives. This paper collects relevant literature and data and analyzes them. The paper found that educational inequality is prominent in coastal and inland areas, especially in the application of technology and the distribution of educational resources; regional economic development processes and income gaps significantly affect educational imbalances. Based on this, this paper argues that the way to improve inequality includes the provision of preferential policies by national governments to provide guarantees. Local governments promote the concept of science education and schools promote the construction of teachers.
Using the Bert model and the attention mechanism to obtain an accurate sentiment analysis model
Authors: Ma Jianxiang
Published: December 2024

This study takes the network reviews captured by Ctrip as the object of investigation. 29,025 reviews are preprocessed first, and the training set, verification set and test set are divided according to proportion. The Bert model is used for training and data parameters are retained. Only the subject and affective adverbs were retained and the negative adverbs were artificially weighted. The data set was retrained. The research results supplemented the innovation and application value of the training results, and could prove whether there were commercial malicious competition and other phenomena in bad reviews in network evaluations.
Research on the Application of Multi-rotor UAV Formation in the Hydrological Monitoring Field
Authors: Cui Zixuan
Published: December 2024

In the context of the increasing demand for environmental monitoring, multi-rotor UAV formation has gradually become an important tool in hydrology monitoring. In this study, we propose a control algorithm for UAV formation utilizing an enhanced artificial potential field method. The obstacle avoidance problem in a complex environment for UAV formation is resolved by boosting the repulsive function and incorporating virtual target points, consequently strengthening the formation stability. At the same time, the consistency control algorithm is introduced to further optimize the speed oscillation problem during formation obstacle avoidance. Through MATLAB simulation, the proposed methodology demonstrates a markedly superior performance in the domains of path planning and obstacle avoidance when compared to conventional approaches, which proves its effectiveness and feasibility in practical application.
Application of Linear Regression in Farmers' Income
Authors: Sheng Yichen
Published: December 2024

This paper mainly discusses the application of linear regression model in the analysis of farmers' income and its influencing factors, and the application of Chinese tourism consumption in daily life. In the aspect of farmers' income, multiple linear regression model is widely used to analyze the influencing factors of farmers' income. Through the analysis of historical data and current situation, it is found that per capita wage income, per capita output value of agriculture, forestry, animal husbandry, fishery, per capita production cost expenditure, per capita transfer and property income have significant effects on farmers' income. These factors are considered to be the key to increase farmers' income, therefore, based on these analysis results, corresponding policy recommendations are put forward to promote the steady growth of farmers' income. In terms of tourism consumption, through the empirical analysis of multiple linear regression method, the research finds that rural tourism not only promotes the sales of agricultural and animal husbandry products, but also increases farmers' wage income and other sources of income, thus achieving a fundamental change in farmers' income. Linear regression model plays an important role in the analysis of farmers' income and its influencing factors, and provides a scientific basis for policy making. At the same time, the development of rural tourism has also been empirically supported by multiple linear regression method, which provides a new way for farmers to increase their income.
The Development Trend and Measures of China's Photovoltaic New Energy Industry
Authors: Jia Shiyao
Published: December 2024

To attain the "dual carbon" target, we face the pressing issues of mitigating high carbon emissions and reducing fossil energy consumption. Consequently, the advancement and establishment of renewable energy power systems have emerged as the paramount objective for China's energy sector development. Among them, photovoltaic new energy has gradually developed from the initial auxiliary energy to a substitute or even the main form of energy for power generation due to its convenient and flexible power generation method. However, the photovoltaic new energy industry is currently facing many problems such as weak national policy guidance, insufficient development of digital intelligence, and shortage of professional talents. Hence, to ensure the intelligence, controllability, and stability of the photovoltaic renewable energy industry, China must consistently reinforce policy directives aimed at fostering green and sustainable new energy developments. This necessitates addressing the shortage of skilled professionals in the sector, actively encouraging enterprises to embark on digital transformations within the new energy realm, and intensifying public outreach efforts to enhance public awareness and understanding of the new energy industry.
The impact of AI bias on social justice: challenges and solutions
Authors: Ma Jiali
Published: December 2024

This paper analyzes the wide-ranging impact of artificial intelligence (AI) bias on social equity, especially in key areas such as healthcare, education, and employment. With the rapid development of AI technology, its potential bias problems have been gradually exposed and attracted widespread attention. To this end, this paper not only explores the manifestations and causes of AI biases, but also proposes specific mitigation strategies, such as through improving data diversity, enhancing algorithm transparency, promoting interdisciplinary cooperation, and establishing a sound regulatory framework, with a view to reducing the negative impact of AI biases on social equity and promoting the fair application of AI technologies in various fields of society.
Research on driverless car impact on energy and public safety
Authors: Chen Yiyang
Published: December 2024

As urbanization progresses, cities are increasingly confronted with challenges such as escalating energy consumption, severe traffic congestion, and deteriorating air quality. Highly automated autonomous vehicles (Levels 4 and 5) have the potential to mitigate these issues by enhancing energy efficiency and improving traffic safety through optimized driving routes and speeds. However, the extensive deployment of these technologies also presents significant social challenges, including potential job displacement for drivers and a range of legal and ethical concerns. This study aims to critically evaluate the impact of autonomous driving technology on energy efficiency and social safety. It will investigate how these vehicles contribute to energy optimization by minimizing unnecessary variations in speed and delays, while also addressing potential negative consequences, such as increased social inequality and employment impacts. Furthermore, the study will examine the risks associated with social safety, including cybersecurity threats and ethical issues. By analyzing existing research and data, this study seeks to predict the impact of autonomous driving technology on future society, provide guidance for policymaking, and raise awareness of the potential issues associated with autonomous vehicles.
Advancements in Electric Motor Materials for Aviation Applications
Authors: Zhang Botao , Zheng Enhao
Published: December 2024

As concerns about greenhouse gas emissions and noise pollution grow, the aviation industry is increasingly turning to electric propulsion for cleaner, quieter flight. Electric propulsion offers lower emissions and reduced noise, but significant challenges remain, particularly in materials science. This paper reviews key advancements in electric motor materials for aviation, focusing on high power density, efficient thermal management, mechanical strength, and electrical conductivity. Innovations such as high magnetic saturation materials, nanomaterials like graphene and carbon nanotubes, and advanced composites are explored for their potential to improve motor efficiency and durability. The role of additive manufacturing in producing lightweight, optimized components and the use of advanced coatings for enhanced performance are also discussed. Challenges such as reliance on rare earth materials and environmental sustainability are considered, emphasizing the need for alternative materials and improved recycling. Future research should focus on material innovations that enhance electric aviation's performance while aligning with environmental goals.