bluuebunny/crossref_metadata_2025 huggingface dataset:
Avaliação da eficácia de suplementos imunoestimulantes no tratamento e prevenção do resfriado comum
Authors: Godinho João Thales Azevedo , Soares Filho Fábio Braga
Published: August 2024

O uso de terapias alternativas para cura ou prevenção de infecções virais respiratórias era difundido entre os povos antigos. No entanto, embora haja falta de evidências sobre a eficácia dessas terapias diversas, atualmente, uma ampla variedade de imunoestimulantes naturais está associada a esses benefícios. A presente revisão  avalia a eficácia do uso de diferentes imunoestimulantes naturais na prevenção e tratamento de infecções do trato respiratório superior, como resfriados e gripe. Foi realizada uma revisão integrativa da literatura utilizando bases de dados como PubMed, Scielo e MedLine. Utilizamos vários termos de busca em ciências da saúde, como "Echinacea", "Ascorbic Acid", "Vitamin C", "Zinc", "Sambucus", "Elderberry", "Garlic", "Common Cold", "Prevention", "Complementary Therapies" e "Phytotherapy", combinados com os operadores booleanos "AND" e "OR". Após a seleção criteriosa, 15 artigos foram escolhidos para compor a revisão. Os dados sobre os efeitos do uso de terapias alternativas com imunoestimulantes para alívio e prevenção de sintomas do resfriado comum são conflitantes. Embora a combinação dessas terapias com tratamentos antivirais possa ser benéfica, há limitações em relação à qualidade e quantidade de estudos disponíveis. Enquanto terapias com vitamina C, alho e equinácea carecem de evidências robustas sobre sua eficácia no alívio ou prevenção de sintomas respiratórios, o extrato de sabugueiro e o zinco mostraram potencial promissor na redução da gravidade e duração de resfriados. No entanto, mais pesquisas científicas são necessárias para melhor compreender os benefícios e limitações dessas abordagens terapêuticas alternativas no manejo do resfriado comum.
O componente curricular de educação tecnológica nos anos finais do ensino fundamental: potencialidades exploradas pelos professores da rede de ensino SESI Ceará
Authors: Silveira Mateus Marcos Silva da , Félix Hangley da Silva , Melo Carlos Eduardo Costa , Souza Andrea Moura da Costa , Almeida Emanoel Rodrigues , Pereira Douglas Washington Carioca , Silva Amanda Ferreira da , Cavalcante Gervânia Sampaio
Published: August 2024

O presente artigo apresenta as potencialidades exploradas pelos professores de disciplinas específicas que atuam também como professores de Educação Tecnológica nos anos finais do Ensino Fundamental na Rede de Ensino do Serviço Social da Indústria (SESI), para isso investigou-se as principais ferramentas e recursos utilizados no desenvolvimento das aulas de educação tecnológica. Essa pesquisa é qualitativa, exploratória com o uso de questionário de perguntas objetivas e subjetivas aplicados pelo google forms.  A pesquisa baseou-se na resposta de 15 professores. Identificou-se que eles reconhecem a importância do uso da tecnologia na educação e faz uso de variados recursos e ferramentas digitais como suporte para o ensino. A pesquisa também revelou que o uso das tecnologias tem um impacto positivo no desempenho e engajamento dos estudantes e a maioria dos docentes reconhecem também esse impacto. Alguns professores demonstraram necessidade de mais formações em novas tecnologias, mas reconhecem que a Rede SESI tem ofertado formações aos educadores que foram fundamentais para alavancar práticas pedagógicas inovadoras. Conclui-se que a atuação do Programa SESI ao usar a metodologia STEAM e integrar a Educação tecnológica a disciplina específica, não apenas promoveu diversas potencialidades na inovação das práticas pedagógicas, mas também inseriu digitalmente os alunos. A pesquisa conclui que a integração eficaz dessa disciplina promove aprendizagem colaborativa, pensamento crítico e habilidades tecnológicas essenciais, contribuindo significativamente para a educação.
Pengaruh Promosi dan Kualitas Pelayanan terhadap Kepuasan Pengunjung Event MTQ Ke-56 di Kota Medan pada PT JA Production Indonesia
Authors: Mutiara Iryanda  , Jamardua Haro
Published: August 2024

Religious events are a combination of dogma and information, rituals and appearances, piety and politics, and become habits of religious value which are framed as public spectacles. One of the religious events is the MTQ event. MTQ (Musabaqah Tilawatil Qur'an) is a competition for reading the Qur'an with mujawwad readings, namely reciting the Al-Qur'an following the legal rules of tajwid, the art of song and sound, and reading with adab recitations. In organizing an event, the important thing that must be considered by the organizers is promotion in order to notify, invite, and remind people about the event being held. The excellence of an event is not only determined by the promotion and also the type of event, but also must be supported by the quality of service. Service quality plays a very important role because it is assessed based on visitor satisfaction. If the service quality is good, the visitors who come will be happy, satisfied, and will revisit the next MTQ event. The purpose of this study was to determine whether there is an influence of promotion and service quality on visitor satisfaction.This study uses associative quantitative research with a sample of 100 respondents. The analytical method in this study is multiple linear regression with partial hypothesis testing (t test) and simultaneous testing (f test). From the test results of this study it was found that partially the promotion variable had an insignificant effect on visitor satisfaction while the service quality variable had a significant effect on visitor satisfaction. Simultaneously promotion and service quality variables have a significant influence on visitor satisfaction.
An Achievable Portfolio Trading Strategy
Authors: Guo Shuhan
Published: August 2024

This research outlines an advanced investment strategy for a diversified 20-stock U.S. portfolio, leveraging Yahoo Finance data for optimization. Utilizing a momentum strategy, the study refines stock weights based on historical performance, incorporating dual moving averages for precise trading signals. A novel approach introduces Exponential Moving Averages (EMAs) and risk-adjusted scores to enhance decision-making, striking a balance between returns and associated risks. In the past one year period from February 1, 2023 to February 1, 2024, the annual return rate can be achieved according to this method of 36.81%, the strategy showcases the effectiveness of data-driven, technical analysis in financial mathematics. It demonstrates the utility of sophisticated investment techniques for market performance optimization, contributing valuable insights into portfolio management.The study highlights the potential of leveraging advanced algorithms and financial indicators to outperform traditional market strategies. This innovative approach provides a comprehensive framework for achieving superior returns, emphasizing the importance of technical analysis and risk adjustment in modern investment strategies.
Predicting the sea lamprey population dynamic and ecosystem stability based on sex ratio corrected logistic model
Authors: Ren Qihao , Qi Tian , Wang Xinghan
Published: August 2024

The sex ratio of the sea lamprey(Petromyzon marinus) is influenced by population density. A sex ratio corrected population model and a ecosystem stability model were established based on the logistic population model. In these models, the population growth rate (r) is corrected by sex ratio, and the deviation degree from environment carrying capacity (K) at different sex ratio scenarios is quantified. Using the models, the population dynamic and its effect on the ecosystem stability are simulated. The male dominant lamprey populations exhibit decreasing trends. The stability of the ecosystem decreases with the increase of male ratio.
Comparative Study of the Sports Industry Between China and the United States
Authors: Zhao Yanbo
Published: August 2024

In recent years, the sports industry in China has experienced vigorous development, with frequent investments and increasing attention from various sectors of society. However, there is still a significant gap between China and Western developed countries in the sports industry. This article compares the current development of the sports industry in China and the United States, and provides relevant policy recommendations for the better development of the sports industry in China.
Study on the Impact of the Establishment of State-level New Districts on Industrial Upgrading
Authors: Zhao Zicheng
Published: August 2024

As an important carrier of China's reform and opening-up and regional development strategy, national-level new zones undertake the important task of promoting regional economic growth and optimizing industrial structure. As China's economy enters the stage of high-quality development, the role of national-level new zones in promoting the transformation and upgrading of industrial structure is particularly important. Since the Third Plenary Session of the Eleventh Central Committee of the Communist Party of China (CPC) was held in 1978 to make the decision of reform and opening up, China's economy has experienced 46 years of high-speed development, and at the important historical juncture of China's economic transformation from high-speed growth to high-quality growth nowadays, the national new zones, as a pioneer of policy experimentation and a leader of economic growth, will inevitably continue to play a crucial role, so this paper utilizes the asymptotic Differences-in-Differences (DID) to assess the driving role of the establishment of national new zones on the transformation of the city's industrial structure and its potential mechanisms from 2013 to 2020. Through a comparative analysis of the changes in industrial structure before and after the establishment of national-level new zones, this paper attempts to reveal the specific contribution of national-level new zones in promoting the advanced and rationalized industrial structure, as well as the role of high-level development of openness to the outside world and government expenditures in it.
Research on Profitable Strategies for Individual Investors Base on improved momentum strategy
Authors: Li Jiaxuan
Published: August 2024

Momentum strategies did not receive widespread attention in the early days, and only gradually increased in stature as they were studied in depth, and have been widely recognized as efficient after decades of research, with many different improvement strategies proposed. The purpose of this paper is to explore strategies for evaluating and adjusting the profitability of individual investors. Using data from the S&P 500 as a pool of stocks and focusing on the large value stocks therein using a liquidity strategy that adjusts buying and selling on a monthly basis based on changes in the momentum of individual stocks, this paper successfully establishes a model of successful investing for the individual investor based on a momentum strategy, which contributes to a deeper understanding of the principle of excess returns of a momentum strategy as well as the investment risks that may be associated with it.
How Artificial Intelligence Effect the Fairness of Financial Industry
Authors: Wang Yuxin
Published: August 2024

The development of the financial industry has always been closely intertwined with technological advancements. In this Internet age, artificial intelligence (AI) emerges as a pivotal force driving the new round of scientific revolution and industrial transformation, penetrating nearly every aspect of financial sector, becoming a non-negligible factor in financial area. This article examines and analyses the impact of AI on the fairness of financial industry. It argues that the comprehensive information processing capabilities AI has do facilitate fairness people expected, specifically reflected in these three aspects: narrowing service quality disparities through personalized services for users, enhancing the inclusivity of the financial industry through the proliferation of technology, and fostering fair competition in financial sector through digitally driven regulatory methods. However, due to the information biases and the adaption limitations AI has, problems like algorithms discrimination and digital gap may occur, ends up with exacerbating the social inequity existing in financial industry.
Research on the Impact of Population Aging on China’s GDP and Its Composition based on Multiple Linear Regression
Authors: Chen Yuanzhong , Jin Yuye , Li Wanxin
Published: August 2024

In today’s China, population aging is a more and more serious problem and it can impact economic growth in many aspects. In order to slow down the population aging and reduce its impact on economic growth, this study uses multiple linear regression model to analyze the correlations between them. As the most direct indicator to economic growth, GDP and its 4 compositions are chosen as the dependent variables. This study chooses aging ratio, aging index, labor participation rate and elderly dependency rate as variables to indicate population aging. Based on the analysis of 240 samples from the National Bureau of Statistics, it is found that each dependent variable is corresponded to the 4 variables. After comparing the VIF value and significance of each variable, the equations of multiple linear regression are drawn. It turns out that aging index is the most important influencing factor to China’s GDP, so the results can shed light on how to promote national economic growth under the background of population aging.
Study On the Impact of Sea Lamprey Sex Ratio on Ecosystem Stability Based on The Lotka-Volterra Model
Authors: Shen Yifan , Zheng Chuankai , Xia Yifan
Published: August 2024

Sex ratio adjustment has a profound impact on the stability of the sea lamprey and its ecosystem, altering its reproduction and host relationship dynamics. To understand the complex relationship between sex ratio and population dynamics, and to reveal how changes in sex ratio affect reproduction, the present study was carried out to improve the model by establishing the basic Lotka-Volterra predator-prey model and improving the model by combining the characteristics of changes in sex ratio to obtain the results that the sex ratio of the sea lamprey is an important factor influencing the changes in the population size of the sea lamprey, and that the relationship between them shows significant differences in the different sex ratios. The relationship between the sex ratio and the population size of sea lampreys showed obvious differences, reflecting that the sex ratio not only determines the rate of increase and decrease of the population size but also indirectly affects the trend of the host population size.
Research on the Application of Supply Chain Management in Tea Shop Management - Taking the Supply Chain Business of Mixue Bingcheng Company as an Example
Authors: Xie Zhongyu
Published: August 2024

With the continuous improvement of living standards, people's pursuit of food has also undergone a leap forward, and China's catering industry has also been continuously upgraded and improved. The traffic of the tea beverage industry has gradually emerged and is deeply loved by consumers, especially young consumers, becoming an indispensable part of life. The supply chain is one of the key research topics today. Through studying the progress in optimizing supply chain management, scholars have found that there are still significant research gaps and room for improvement in the effectiveness of management in recent years. Therefore, this article conducts a large amount of literature analysis to study the supply chain management of tea beverage enterprises. This article focuses on exploring the marketing strategies of the leading tea beverage enterprise, MXBC, in order to provide reference for relevant enterprises and promote innovation and development in the tea beverage industry.
Impact of ESG Implementation on Total Factor Productivity under the Context of Carbon Peak and Neutral Target
Authors: Luo Jiayu
Published: August 2024

The focus of this essay is the relationship between environmental, social, and corporate governance (ESG) performance and total factor productivity (TFP) under the Dual Carbon Target. Through the technology innovation effect and allocation effect of resources, the research examines and explores how ESG affects TFP. Between them, the technology innovation effect releases the innovation potential of enterprises from three dimensions: innovation efficiency, innovation quality, and innovation output (the increase of green invention patents), meanwhile, the resource allocation effect improves investment efficiency as well as reduces financing constraints, increasing green investment opportunities. There has been a preliminary discussion in existing literature on the impact of ESG advantages on corporate innovation output, but no literature has yet addressed how ESG expands green investment opportunities via firm innovation. Hence, the article provides a new insight into green investment opportunities to reveal the intrinsic mechanisms of the impact of ESG performance on enterprise TFP, expanding the research perspective of relevant literature. The findings in this paper demonstrate that ESG advantages can effectively enhance corporate TFP, and offer valuable implications for governments to strengthen environmental assessment mechanisms to better incentivize companies to unleash innovative potential, thereby promoting comprehensive green transformation and economic development.
The Impact of Firms’ Digital Transformation on Executive Appointment Decisions
Authors: Fang Yijun
Published: August 2024

In the era of digital economy, digital transformation is an important path to promote the transformation and upgrading of traditional manufacturing enterprises towards intelligent manufacturing. The article employs a case study approach, utilizing data from Huawei Technology Co., Ltd. between 2020 and 2022. It comprehensively examines the influence of digital transformation on the selection process of manufacturing industry executives. This analysis considers various factors such as the age, industry background, and technical expertise of these executives. By gathering and organizing relevant data in these three categories, the article aims to provide a comprehensive analysis of the impact of digital transformation on appointment decisions within the manufacturing industry. Research has found that digital transformation can significantly affect the appointment standards of executives in enterprises. Based on this, in order to better promote manufacturing enterprises to achieve high-quality development through digital technology, the article proposes corresponding suggestions and measures.
Research on the Effective Extraction radius of Directional Long Boreholes for Coalbed Methane Extraction Based on Gas Extraction Quantity Measurement
Authors: Wang Yifan
Published: August 2024

In order to solve the problems of low utilization rate of coalbed methane and difficult gas control in the working face caused by the difficulty of ordinary drilling construction for gas extraction in a high gas mine, a study was conducted on the effective extraction of coalbed methane using directional long drilling in the 2212 working face of a certain coal mine. Through on-site experimental investigation and theoretical analysis, the effective extraction radius of directional long boreholes in the working face was calculated under different pre extraction times, providing a scientific basis for the rational design of directional long boreholes for coalbed methane extraction.
The Impact of Aging Population on the Economy of New Media Industry
Authors: Wu Shuang
Published: August 2024

This paper is divided into two parts. The first is the impact of an aging population on new media technologies. In the new media industry, there are more middle-aged and elderly people to join them, they are both consumers and anchors. With the increase of elderly consumers, some videos that meet the aesthetic of the elderly have gradually become popular. The first is their video shooting style. The second is the words they use on the radio. The second part is the strategy of the new media industry to cope with the challenge of the aging population. The most important thing is the interface, whether the elderly can operate. So the interface of the platform needs to be simple. The second is to create video content for older users that they like. When older users find that the software is not only easy to operate, but also has their favorite videos, they will be more willing to continue using the software, thus increasing user engagement. There are three points. First of all, the platform needs to deeply understand the preferences of the elderly, the second is to clarify the user group of the watch, and the third point is to provide high-quality products and services for the target elderly users.
Management Philosophy of China: Application of Huang Lao School in Enterprise Management
Authors: Liu Xinyi
Published: August 2024

With the development of Chinese enterprises, western management theory research can not fully explain and guide Chinese management practice, and it is urgent to innovate Chinese management thought, which has become a prominent problem faced by management academia. The revolutionary innovation of Chinese management philosophy and paradigm needs to use the rich management philosophy in Chinese traditional culture to help the development and theoretical construction of Chinese management thought, so that Chinese management can be closer to Chinese management practice. The management philosophy of the Huang-Lao School is of great value to enterprise management and helps to construct a Chinese-style management ideology. This paper expounds the necessity and value of Chinese-style management research, the development and present situation of Chinese management philosophy, and focuses on Huang Lao's management philosophy, expounding the previous scholars' research on the connotation and application of four main schools of management thought: Guan Zi, Sun Zi, Han Feizi and Huai Nan Zi.
Comparative Analysis of China-US Education System: Analysis to General Situation and Typical Image
Authors: Zhang Zhaorui
Published: August 2024

Chinese education and American education have completely different historical origins. Chinese education is for the selection of imperial examinations to ensure talent supply. Modern education in China is mainly aimed at improving the overall educational level of the public. The roots of American education are religious dissemination, freedom, and thinking. Both China and the United States have a high educational penetration rate, however, because of the influence of family education, the penetration rate of early childhood education in the United States is not as high as that in China. The educational structure of the two countries is very different. China has adopted the dual mechanism of diploma and degree as a threshold for students to enter the workplace. Relatively speaking, education in the United States is only a way for students to grow up, and students’ parents, the government, and private educational institutions are involved in and influence the growing process of children. The Chinese government supports compulsory education and has established a college entrance examination system, while the American government spends relatively little on education. American education is more influenced by neoliberal ideas and is profit-oriented, which has greatly affected the quality and sustainability of American education.
Matching Students to Pre-primary Schools in India
Authors: Zhang Yinyao , Zhang Yinyao
Published: August 2024

This essay explores in depth the complexities of India's primary school selection system, with a particular focus on the application of matching market design principles, including delayed acceptance (DA) algorithms. The main aim of the study was to examine how these basic concepts might address common problems associated with the allocation of school seats to families, ensuring that the system is both inclusive and viable. Through this analysis, GGAL will create a mechanism that promotes equity and benefits all relevant stakeholders. The study, which extends to examining the potential impact of changing the current selection process, hypothesizes that the integration of DA algorithms could provide a comprehensive solution to the primary school enrolment needs of families across India, promoting a more equitable and efficient allocation of educational resources. By forecasting the potential outcomes and examining various case studies where similar algorithms have been implemented, the essay seeks to contribute to the ongoing discussion about educational equity and accessibility in the Indian context.
Optimization Model of Multibeam Line Placement Based on Geometric Relationship and Planning Solution
Authors: Li Gefei , Wang Shujiao
Published: August 2024

This article focuses on the issue of measuring line layout and control in seabed bathymetry using multi-beam bathymetric technology, aiming to optimize the measuring line layout and control of this technology. Through geometric relationships and planning solutions, the efficiency and accuracy of seabed bathymetry are improved. Three mathematical models are presented in this paper, firstly, the coverage width and overlap rate of multibeam bathymetry on a two-dimensional vertical section for the case of an inclined seafloor and the traveling direction of the survey vessel is parallel to the inclined plane and the sea level. Secondly, the mathematical model of coverage width and overlap rate of multibeam bathymetry in three-dimensional space is constructed by expanding it to the case that the survey vessel can travel in any direction. Finally, taking the specific case of an inclined seabed with arbitrary driving direction as the object, the direction, and spacing of the survey lines are solved by the planning model to realize the full coverage of the surveyed area and ensure that the overlap rate is within a reasonable range. The results of this research provide a scientific survey line deployment and control program for seabed bathymetry, which helps to improve the accuracy and efficiency of seabed topographic mapping. The simulation results show that it is most effective to lay the survey line when it is parallel to the seabed slope.
The Application and Prospects of Electric Ships in the Maritime Industry
Authors: Peng Baolong , Sun Rui , Chen Yufan
Published: August 2024

With the escalation of global climate change and environmental pollution, the shipping industry urgently needs to undergo transformation. Electric ships, leveraging advantages such as zero emissions, low noise, and high energy efficiency, demonstrate significant potential and market prospects. This paper reviews the current research status of electric ships, discussing the latest advancements and challenges in battery technology and electric propulsion systems. While lithium-ion batteries remain mainstream, issues regarding range and charging speed persist, prompting exploration into new technologies such as solid-state batteries, fuel cells, and sodium-ion batteries. The Battery Management System (BMS) plays a crucial role in enhancing battery safety and reliability. Optimized design and intelligent control strategies have notably improved the efficiency and reliability of electric propulsion systems. The paper summarizes the technological advancements in electric ships, identifies current challenges, and outlines future development directions.
Research on volatility spillover effects between traditional energy market and China's new energy vehicle stock market
Authors: Wang Yuqiu
Published: August 2024

Due to the issues of energy security and climate change, many countries have deeply adjusted the energy structure for the sustainable development of the national economy. With the increase of uncertainty in the energy market in recent years, China's new energy vehicle industry has developed rapidly, and the price fluctuation of new energy vehicle industry is closely related to that of traditional fossil energy. Therefore, we use the TVP-VAR-DY model to analyze the time-varying volatility spillover effect between the international crude oil futures market and China's new energy vehicle stock market. The results show that the volatility spillover effect between the international crude oil futures market and China's new energy vehicle market has obvious time-varying characteristics. The international crude oil market is the net exporter in the system, while China's new energy vehicle market is the main net recipient in the system. The sensitivity of directional spillover effect in extreme risks of different markets to different extreme events is quite different. Finally, the conclusions of this paper provide reference for investors and put forward corresponding suggestions for the development of new energy vehicle industry.
Application Analysis of Machine Learning Models in Credit Risk
Authors: Liu Shiyi
Published: August 2024

Traditional credit risk assessment models frequently depend on historical data and predefined rules, a limitation that may fail to fully encompass the intricate and dynamic characteristics of credit risk. With the rise of machine learning (ML), credit risk can be assessed more easily according to historical data, and it offers a more dynamic and data-driven approach to credit risk assessment. This essay will provide an overview of significant research advancements made in the last five years. It demonstrates consumers and financial institutions have different preferred ML models. Moreover, using different criteria such as AUC and Brier to evaluate accuracy yields different results. And there is a greater prospect for deep learning. Overall, the advent of machine learning has revolutionised the field of credit risk modelling, offering new insights and methodologies for predictive analytics. These advancements utilise statistical, machine learning, and deep learning methods to tackle credit risk issues. In addition, this essay will explore several obstacles and forecast future trends.
Stock Price Prediction: A Comparative Study of Random Forest and LSTM Models
Authors: Wang Xun
Published: August 2024

With the escalating globalization and intricacies of financial markets, accurate stock price forecasting has become paramount for investors, analysts, and researchers. This study compares the effectiveness of Random Forest and Long Short-Term Memory (LSTM) in predicting Tesla stock prices. Utilizing historical data refined for sequential analysis, both models were trained and tested. Evaluation metrics such as Mean Square Error (MSE) and accuracy were used to assess predictive prowess. Results indicate that LSTM exhibits superior accuracy in forecasting Tesla stock prices, owing to its proficiency in managing long-term dependencies and nonlinear relationships inherent in stock price time series data. Conversely, Random Forest's performance was relatively limited. On the other hand, the random forest model has the advantage of running time much lower than LSTM. This research underscores the significance of model selection tailored to the unique characteristics of financial data and opens avenues for future explorations in optimizing predictive models and translating insights into practical stock trading strategies.
Research on Optimization Design of Heliostat Field Based on Multiple Models
Authors: Chen Keying , Cai Deqi , Yan Yichen
Published: August 2024

This paper will optimize the heliostat field based on different models. Using quadtree model, the absorption tower is built in the center of mirror field under the preconditions of fixed size and installation height, and the annual average optical efficiency, annual average thermal output power and annual average thermal output power per unit mirror area are calculated. Based on the annealing model, the parameters of the mirror field are designed according to the rated annual average thermal output power, so that the average annual thermal output power per unit mirror area can be optimized under this condition. Through the above model, the aim of optimizing the heliostat field design is achieved, and the annual average output thermal power per unit mirror area is increased.
The Impact of a Weaker Yen Against the US Dollar on Japanese Real Estate
Authors: Bai Wenzheng
Published: August 2024

This study explores the impact of the widening interest rate differential between China and the United States on the Japanese real estate market during the Fed's rate hike cycle (March 2022 to August 2023). The study assumes that a weaker exchange rate will have an impact on the property market by affecting financing and investment activity. Through correlation analysis, this paper analyzes the relationship between exchange rate, loan interest rate, and real estate market indicators (including real estate price index, construction order volume, financing cost of real estate developers, etc.). The results show that there is a significant positive correlation between the depreciation of the yen against the US dollar and the real estate price index. The long-term loan interest rate is positively correlated with the exchange rate to some extent. The relationship between construction order volume and exchange rate is weak. There is a strong positive correlation between the financing cost of real estate and the exchange rate. These findings have implications for understanding how exchange rate fluctuations affect the real estate market and provide data reference for macroeconomic policymaking.
Research On the Factors That Affect the Pricing of Healthcare Insurance
Authors: Tang Zewei , Wang Xiaoxuan
Published: August 2024

This essay delves into the intricate relationship between various factors and healthcare insurance charges, employing two sophisticated mathematical-statistical models: machine learning such as linear regression and skewness and kurtosis. The dataset utilized in this analysis is sourced from the reputable data science platform, Kaggle. The findings of this study indicate that several key factors play a crucial role in determining health insurance pricing. Specifically, age and smoking status are identified as significant influencers. However, the BMI (Body Mass Index) cannot affect the charges. As age increases, so do healthcare charges, reflecting the higher likelihood of health issues in older individuals. Similarly, smokers are charged more due to the increased health risks associated with smoking. Additionally, higher BMI values are not linked to higher insurance charges. Moreover, the study highlights a direct correlation between these factors and healthcare insurance pricing. As age and smoking status increase, there is a corresponding increase in insurance charges. This underscores the importance of these factors in determining the cost of healthcare insurance.
Research on the Influencing Factors of Online Mobile Phone Sales using Linear Regression
Authors: Huang Chutong , Liu Yixuan , Zhou Enqi
Published: August 2024

The main objective of this study was to comprehensively explore the factors affecting online mobile phone sales using linear regression models. In recent years, the mobile phone market has developed rapidly, the competition is increasingly fierce, the popularity has gradually increased, and the mobile phone has become a necessary product. This paper aims to explore the key factors affecting online mobile phone sales, including market background, platform and channel, products, marketing strategy, consumer behavior, price, customer service and case analysis, and empirically analyze the specific impact of each factor on sales results. Then, the Kaggle dataset is used to analyze the impact of mobile phones with different functions on sales, and which types of mobile phones are most favored by customers. Based on this, this paper puts forward a series of targeted optimization strategies to improve the effect of online mobile phone sales. Based on the above analysis, there are many factors affecting online mobile phone sales. If an enterprise wants to stand out in the fiercely competitive market, it must start from the market background and comprehensively consider various factors such as platform and channel, product, marketing strategy and customer service. At the same time, with the continuous development of science and technology, enterprises also need to continue to pay attention to the market dynamics, constantly innovate and improve sales strategies, to adapt to the changing market environment.
Fast Food Giants: A Comparative Analysis of Yum! Brands Inc. and Restaurant Brands International Inc
Authors: Li Wanying
Published: August 2024

This report compares Yum! Brands and Restaurant Brands International, two fast-food industry heavyweights, concentrating on their global expansion and market penetration tactics. Using a mixed-methods approach that includes documentary research, SWOT analysis, and financial analysis, the study investigates how each company responds to changes in consumer preferences and the global marketplace. The findings highlight Yum! Brands' innovative methods to product creation and market tailoring, notably in Asian regions, and RBI's aggressive franchising and acquisition strategies, particularly in North America. The analysis revealed that, while both companies have exhibited great market presence and development potential, they also confront distinct obstacles with Yum! Brands appear to have better market penetration and financial success. The analysis showed that, while both companies have substantial market presence and development potential, they confront distinct obstacles, yet Yum! Brands appear to have higher market penetration and financial performance. The RBI must decrease the risk of market saturation while ensuring operational uniformity. The study emphasizes the significance of strategic adaptation, franchising, and product innovation as crucial determinants for the fast-food industry's long-term success.
Preface: 5th International Conference on Educational Reform, Management Science and Sociology (ERMSS 2024)
Authors: Coleridge Antonia , Tong Fuyu
Published: August 2024

2024 5th International Conference on Educational Reform, Management Science and Sociology (ERMSS 2024) was successfully held online during July 06-07, 2024, in Detroit, USA. This conference aims to become a springboard for research, innovation and entrepreneur sharing several key technological developments and emerging applications of informatization in education technology, information management, engineering management, business management and public management.
ERMSS 2024 invited scholars and experts in related fields from various universities to participate in the review and guidance of this conference. The conference focuses on the latest research fields, and aims to provide an international cooperation and exchange platform for experts, scholars and business managers to share their research achievements, discuss the key challenges and research directions of the development, and jointly promote the industrialization cooperation and continuous innovation of international academic achievements. This collection of proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the special committee.
Organizing Committees of ERMSS
Detroit, USA
Addressing Volatility in the UK Stock Market: Problems and Solutions
Authors: Wang Zixu
Published: August 2024

The UK financial market is the core of global capital flows, bringing together global investors and traders, with a grand scale and continuous innovation. Its sound regulatory system ensures market stability, has a significant impact on the global economy, and is a key force driving global economic development. However, it faces challenges such as market volatility, information asymmetry, liquidity issues, and adapting to new trends. These challenges test the stability and growth of the market. To address these challenges, this article provides a detailed analysis of their root causes and proposes a series of solutions and strategies to promote market stability and growth. The focus of this article's analysis is to improve market transparency, alleviate market volatility through risk management tools, reduce information asymmetry through fair sharing of information, enhance market liquidity, and enhance the market's ability to resist emerging dynamics. Implementing these strategies can alleviate market instability and information imbalance, thereby improving market efficiency and stability in the short and long term.
Key Determinants of Spillover Effect of Bond Default
Authors: Ye Hanchen
Published: August 2024

After the epidemic of Covid-19, the spillover effects of the global economy are very common, especially in the bond market, which has attracted widespread attention from investors. Bond defaults not only affect defaulting companies, but also affect other companies in the network, affecting their bond prices. In this context, this paper analyzes the spillover effect of bond default in the context of the global economic slowdown caused by the COVID-19 epidemic. Based on theoretical methods, this article identifies three key determinants of bond default spillover effects. The three key determining factors identified in this study are information spillover, counterparty risk, and investor psychology. These three key determining factors may help later scholars understand the spillover effects of bond defaults. Based on these three key determining factors, this article also proposes some possible strategic suggestions to mitigate the impact of bond default spillovers and prevent systemic risks in the economy.
Tunneling Towards Sustainability: Comparative Analysis of Urban Water Management in Washington D.C. and London
Authors: Huang Xinjia
Published: August 2024

This paper examines the crucial role of underground tunnels in urban water management, specifically focusing on two projects: the Anacostia River Tunnel in Washington D.C. and the Thames Tideway Tunnel in London. This analysis emphasizes the challenges and opportunities associated with such infrastructure development in addressing urban water pollution and strengthening sewage treatment systems. Through a comprehensive review of these projects, this paper discusses their environmental and social impacts, cost effectiveness, as well as lessons learned during construction and operation phases. Additionally, it addresses the broader theoretical framework of integrated water resources management, illustrating how tunnel projects can significantly enhance urban flood management, water quality, and social welfare. Drawing upon various studies, it explores the integration of green and grey infrastructure in urban environments while emphasizing the need for comprehensive and sustainable solutions for managing urban water resources. Overall, this paper contributes to understanding the critical role of tunnel engineering in contemporary urban environments while providing insights for research and development within public infrastructure for environmental management.
Application of Mean-variance Model of 11 Industries in Chinese A Share Market
Authors: Tong Xinyi
Published: August 2024

The Markowitz mean-variance model is served to find a balance between stock returns and risks. Gains in the stock markets of this economic powerhouse, especially the A-share market, are remarkable. In this paper, stocks of 11 leading enterprises from 11 industries such as manufacturing, finance, energy, etc. in China's A-share market are selected. The mean-variance model contributes to calculate the weight of each stock and construct a minimum variance portfolio. By comparing the minimum variance portfolio with an equal-weighted portfolio and the market portfolio (represented by the Shanghai Composite Index), it is found that the minimum variance portfolio outperforms the market portfolio. The robustness test by removing the two largest and smallest stocks in the portfolio still holds. This study provides a feasible method to diversify the risk of the asset portfolio and improve the return and provides an important reference for related investors' portfolio construction behavior in the A-share market.
Psychological Traps in Decision-making: Anchoring, Heuristics, and Loss Aversion
Authors: Li Songpo
Published: August 2024

Through a comprehensive analysis of existing theories and related experimental research, this article explores the psychological mechanisms and causes of three critical psychological phenomena in behavioral finance - anchoring effect, representative heuristic and loss aversion, and their specific manifestations in the financial market. The research background reveals the prevalence of these psychological biases in investment decisions and their impact on market efficiency. This article analyzes the cognitive and emotional factors behind these phenomena and explores the impact of cultural and social context on their manifestations. Furthermore, by comparing cases in different market and economic contexts, this study demonstrates how these psychological biases can be identified and exploited in global financial practices. The findings suggest that a deeper understanding of these psychological biases is critical to optimizing investment decisions and promoting market stability. The insights from this study provide market participants with practical strategies to deal with and exploit these psychological biases and promote the exchange and integration of financial practice and behavioral science.
Analysis of the Status and Strategies for the Development of Ice and Snow Tourism in Northeast China
Authors: Zhou Yubo
Published: August 2024

Ice and snow tourism, subordinated to the broad category of ecotourism, is a general term for a variety of tourism activities that take ice and snow climate tourism resources as the main attraction, so that visitors can experience in-depth ice and snow cultural connotations. In recent years, the ice and snow tourism industry in the Northeast demonstrats vigorous development. It not only brings visitors a pleasant and unforgettable experience, but also greatly promotes the economic development of the Northeast. The Northeast region become an important pillar of the local economy. However, in the rapid development of snow and ice tourism, the Northeast region is also facing a number of problems and challenges that need to be addressed.
The Influence of The Concept of Gender Equality on The Concept of Marriage Among Contemporary Young People in China
Authors: Yang Yuxin
Published: August 2024

In recent years, China's marriage rate and fertility rate have declined year by year, which has become a serious social problem. The marriage rate is greatly influenced by young people's views on marriage.This paper uses the literature analysis method to analyze the relationship between the four core journals and the articles on the theme of gender equality and marriage as samples. The study found that the number of papers on the influencing factors of the concept of marriage was relatively small, the research factors were relatively simple, and the influence of gender perception on it was not yet addressed. In the context of the times, this paper argues that the low marriage rate is a real and serious social problem, and it is urgent to solve it. As a major trend of historical development, gender equality has an impact on the current young people's willingness to marry. Therefore, how to rationally apply the concept of gender equality and how to promote the establishment of a guarantee system is urgent.