bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Study on Reverse Mixed-Ownership Reform of Private Enterprises
Authors: He Mengyuan , Gan Lunzhi
Published: July 2024

Since the Third Plenary Session of the 11th Central Committee in 1978, especially with the introduction of the State-owned Enterprise Reform Three-Year Action Plan, the mixed-ownership reform has been further accelerated. The government encourages the mixed-ownership economy and supports the effective integration of state-owned and private capital, aiming to use the advantages of all parties to promote the common prosperity of state-owned enterprises and private enterprises. By 2020, the environmental protection industry has seen a significant "reverse mixed-ownership reform" upsurge. The impact of reverse mixed-ownership reform on the performance of private enterprises, and how private enterprises can utilize the advantageous resources of state-owned enterprises to achieve high-quality development have become hot topics. This article takes Qingxin Environment and Energy-saving Guozhen as case studies, using case analysis, event study, and comparative analysis methods to deeply explore the effectiveness of the reverse mixed-ownership reform of the two companies, and points out the risks and challenges encountered in the reform process. At present, there are many case studies on state-owned enterprises introducing private strategic investors, but there are very few comparative case studies on the reverse mixed-ownership reform of private enterprises. This paper provides valuable experience for private enterprises to participate in reverse mixed-ownership reform and enriches the case study of mixed-ownership reform by comparing the two cases.
A Modeling Study of Insurance and Real Estate Risk Assessment in the Context of Global Climate Change
Authors: Peng Lianshu , Wang Yida , Pan Zhensheng
Published: July 2024

This paper focuses on the problem of economic losses caused by extreme weather events in the context of global climate change, and aims to develop a risk assessment model applicable to the insurance and real estate industries. The study first uses the Spearman correlation coefficient to conduct sensitivity analysis, determines the premium as the optimization variable, and combines the idea of present value of compound interest to construct a risk rating evaluation system, which classifies the risk into A, B, and C to guide the decision to insure. Subsequently, with the help of historical climate data, the ARIMA algorithm is used to predict future climate risk, and empirical evaluation is conducted for the United States and Australia to predict the future loss trend of the two countries. In order to improve the science of real estate siting decision-making, the study introduces a GIS-based decision support system, combines the gradient boosting tree algorithm to predict the risk factors, and constructs a visual GIS model to assess the suitability of siting. In addition, the study quantifies the cultural, historical, economic, and community values of the building facilities, and ranks and weights the factors by entropy weighting method to emphasize the protection of high-value factors. This study provides powerful tools and strategic recommendations for the insurance and real estate industries to address climate risk.
Post-earthquake Emergency Supplies Prediction Based on BP Neural Network
Authors: Liu Zhihang , Dong Bo
Published: July 2024

The prediction of earthquake casualty population is a typical complex prediction system, which needs to comprehensively consider a variety of factors such as the earthquake damage itself, the population distribution in the affected area and its environment. Aiming at the prediction of emergency supplies in earthquake disasters, this paper collects historical earthquake data, including key factors such as magnitude, depth of epicenter, population density of the affected area, constructs the input layer of BP neural network, and utilizes the self-learning ability of the network for training to realize the prediction of the number of people injured in an earthquake, which in turn indirectly predicts the demand for emergency supplies. The experimental results show that the prediction model of the number of earthquake injuries based on BP neural network has excellent performance in prediction accuracy, and the operational coefficient of determination of the model R^2 reaches 0.93337, which indicates that the prediction results of the model have ahigh degree of correlation and accuracy with the actual values, and it is able to provide a more accurate and reliable reference for the rescue work of the emergency supplies after the earthquake.
Correlation Between Bitcoin Price and Total Supply of Long-term Holders
Authors: Chen Tingfei
Published: July 2024

This paper discusses the relationship between Bitcoin price and the number of Bitcoins held by Long-term holders (LTHs) through VAR and ARMA-GARCH models. The research and study continue to analyze the volatility of Bitcoin price while adding possible variables that modify the models better. The purpose is to better learn the market mechanics of Bitcoin and forecast price changes and long-term holders’ behaviors. In this paper, two relationships are established: first, there’s a long-term negative correlation between an increase in price and the number of Bitcoins held by LTHs. Second, the volatility of price and the volatility of the number of Bitcoins held by LTHs are positively correlated. Compared to previous analyses of the volatility of Bitcoin price, this paper considered a possible influential factor, the supply of LTHs, during the research. Based on the findings, suggestions for future investigations are given to consider short-term holders’ relationship of the two variables mentioned in this paper. Financial institutions can better forecast the behaviors of other LTHs, whereas individual investors can have a better understanding of the market mechanism of Bitcoin while learning the behaviors of LTHs.
The Impact of CEO Facial Expressions on Firm Performance
Authors: Men Wenlong
Published: July 2024

In a company's financial reporting, the chief executive officer's (CEO) facial expressions can positively or negatively affect company performance. CEO facial expressions are a form of nonverbal communication that can convey a wealth of information, including emotions such as confidence, concentration, joy, anxiety, stress, and worry. With the development of emotional intelligence and leadership research, more and more scholars have begun to focus on the relationship between leaders' facial expressions and company performance. It is of importance and significance to study the impact of CEO facial expressions on firm performance. Although some preliminary studies are exploring the relationship between leaders' facial expressions and firm performance, there are still many gaps in this area. This paper uses Face Reader and AFEA Facial Expression Automated Analysis System to propose a set of quantitative data on the relationship between the CEO's facial expression and the queried data on the company's net profit interact with each other to verify that the CEO's facial expression when he/she is speaking in the company's financial report has an important impact on the company's performance over the next period. Finally, this paper reveals the mechanism of the impact of leaders' emotional expressions on firm performance, providing practical suggestions and guidance for business management. In addition, the findings can provide new ideas and directions for future leadership research.
Performance Validation of Jointly Optimized Graph Filters
Authors: Cui Bin
Published: July 2024

In this paper, a novel jointly optimized graph filter is investigated, which is based on the vertex sampling method and the sum-of-squares integration method. It takes the frequency response of the ideal graph filter and the error value of the frequency response of the designed graph filter as the optimization objectives of the jointly optimized graph filter. Firstly, the theoretical analysis and validation of the practical performance of this method are carried out in this paper, and theoretically, we can get that the performance of the jointly optimized graph filter is improved compared with that of the non-jointly optimized graph filter. Then, the actual performance of the jointly optimized graph filter is verified using real data sets. Finally, the jointly optimized graph filter design method is compared with two benchmark graph filter design methods. It is concluded that the performance of the jointly optimized graph filter also has a good improvement over the benchmark graph filters.
Singapore Innovation Economy: Present and Future
Authors: Yan Tinghao
Published: July 2024

This paper provides a discussion of Singapore's current development in the field of innovation economy and the driving forces behind its sustained growth in the innovation index. Through an analysis of the internal and external factors contributing to the development of Singapore's innovation economy, the paper aims to reveal how the country has skillfully found room for survival and development amidst the competition of great powers in the context of globalization, and expanding its position as an economic miracle nation. The article summarizes the current situation of Singapore's innovation economy, pointing out the driving forces behind its continuously growing innovation index, including key factors such as government policy support, an efficient legal system, strong intellectual property protection, and attractiveness to foreign investment. Subsequently, the article analyzes the challenges and opportunities faced by Singapore from both the macro and micro levels, covering a wide range of aspects such as technological innovation, talent cultivation, capital investment, and international cooperation. Particularly, in today's accelerated globalization, how Singapore can leverage its geographical and political advantages, as well as its flexible and versatile economic strategies, to remain competitive in the international arena and promote sustained economic growth and social progress. Finally, the paper emphasizes that the success of Singapore's innovation economy is not only based on the optimization of its internal policies and institutional arrangements, but also on its strategic perspective of being able to accurately grasp international trends, effectively respond to global challenges, and ensure the maximization of national interests.
Innovative Approaches to Teaching the Internet of Things (IoT) Introduction Course
Authors: Zhong Xiaolei , Qiao Rui
Published: July 2024

This paper explores and practices some innovative and effective teaching reforms in the IoT Introduction course to improve the course's quality and enhance students' interest and ability. The reforms include the introduction of practical cases and demonstrations, the increase of practical and experimental courses, the focus on new technologies and trends, the increase of classroom interaction and discussion, and the design of course content, classroom teaching, and course evaluation. The paper aims to provide some references and ideas for the development and improvement of IoT education and talent training.
Analysis on Research Hotspots of Project Risk Management Based on CiteSpace
Authors: Zhang Xiangyue
Published: July 2024

The project risk management is one of the construction procedure that the project builders are most concerned about. How to find the best way to avoid the risk through the project case is also what the current managers need to explore. In order to investigate the research hotspots and development trend of project risk management from 2014 to 2024, CiteSpace retrieval software was used to perform cluster search analysis on 998 relevant literatures in the core journals of China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) during this period. The research mainly sorted out the hot time series and keywords, and analyzed the research trends and hotspots: Within the selected time range, the number of research literatures on hot topics showed an overall rising trend, and the number of hot keywords cluster also increased with time. The keywords of CNKI and WOS core journals in the two categories of Risk management and Construction management are all searched by cluster, so it can be considered that the two journals have similar results in the research development trend and cluster analysis. The project risk management method still needs to adopt a conservative and secure method, and the project portfolio risk management method has more innovative advantages. The traditional project risk management method can be extended to more comprehensive industries in the future, such as new energy industry and high-tech industry.
ABAQUS-Based Uniaxial Compression Performance Study of CFRP-SC Columns
Authors: Li Qingxin , Xiao Han
Published: July 2024

With the increasing shortage of sand resources for construction, sea sand has become its emerging alternative. However, since sea sand can lead to the deterioration of concrete structures, it is particularly important to design a corrosion-resistant, efficient, green, convenient, and low-cost reinforcement method. Carbon fiber reinforced composites (CFRP) with corrosion resistance and high strength can enhance the mechanical properties and durability of sea sand concrete structures (SC). In this paper, ABAQUS subroutine VUSDFLD is used for secondary development, combined with unit deletion algorithm and maximum tensile stress criterion to establish a uniaxial compression damage model, to analyze the damage effect of uniaxial compression state of CFRP-Sea Sand Concrete Column (CFRP-SC). The results show that: (1) CFRP fibers can effectively improve the compressive and load-bearing capacity of SC, thus reducing the stress concentration phenomenon when the column is under compression. (2) The damage evolution of CFRP-reinforced SC under uniaxial pressure is slower, and the high strength of CFRP fibers can effectively resist crack expansion and slow down the damage process of the column.
Research on Influence of Scientific and Technological Progress on Art
Authors: Chen Tingkun
Published: July 2024

The purpose of this paper is to explore the profound impact of scientific and technological progress on the field of art. First of all, it briefly introduces the close relationship between scientific and technological progress and artistic development, and clarifies the research theme of the article. Then, from the historical point of view, it combs the role of scientific and technological progress in promoting the development of art in different historical periods. Then, it analyzes the innovations and changes brought about by the development of science and technology in the field of art, and how these changes affect artists' creative methods and concepts. On this basis, it further discusses the positive and negative impact of scientific and technological progress on art, and makes an in-depth analysis through specific cases. Finally, it predicts the opportunities and challenges brought by the development of science and technology to the art field in the future.
Research on Pricing and Replenishment Strategy of Supermarket Fresh Food Based on Multiple Regression and Particle Swarm Optimization
Authors: Zheng Zesen , Feng Hongbin
Published: July 2024

The characteristics of vegetable commodities such as short storage period, easy to wear and tear, and rapid demand for circulation time led to daily changes in their pricing. To develop a reasonable pricing and replenishment plan, this paper first analyzes the relationship between sales volume and pricing by using a multiple regression model, with pricing as the dependent variable and wholesale price and sales volume as the independent variables. The multivariate regression equation was derived by determining whether there is multicollinearity and heteroskedasticity among the independent variables through the variance inflation factor and White's test, and OLS + robust standard error regression was used to reduce the effect of heteroskedasticity. Secondly, replenishment and pricing strategies were developed for different categories, firstly, time series analysis was conducted to predict the cost, then particle swarm optimization was used to find out the optimal pricing, and based on the relationship between the pricing and the sales volume, the sales volume was projected, and finally the replenishment volume was inverted. The study provides practical suggestions and references for pricing and replenishment decisions in the supermarket fresh food industry.
Quantitative financial techniques in the personal investment sector
Authors: Wu Xinrui , Li Linlin , Huang Yaya , Deng Shiying , Liu Shuyu
Published: July 2024

Quantitative finance techniques are techniques for analysing, modelling and trading financial market data using mathematical, statistical and computer-based tools. In the field of personal investment, quantitative finance techniques are widely used, including quantitative investment, quantitative risk management and quantitative asset pricing. This paper will introduce the background, basic concepts, principles and methods of quantitative finance techniques, and illustrate their advantages and challenges in the field of personal investment with concrete examples.
Image Feature Selection based on Attention Mechanism
Authors: Lu Zuyong
Published: July 2024

In the field of deep learning, the selection and extraction of image features are the key factors affecting model performance. Traditional image feature selection methods often rely on artificially designed features, which is not only time-consuming but also difficult to capture complex patterns in the image. In recent years, attention mechanism, as a technique that enables models to automatically focus on key parts of input data, has shown significant advantages in many fields such as natural language processing and image recognition. In this paper, an attention-mechanism-based image feature selection method is proposed to improve the accuracy and efficiency of image classification and object detection tasks. First, we introduce the basic principles of the attention mechanism, and then we design a convolutional neural network (CNN) framework with integrated attention modules that can adaptively adjust the weights during training to highlight important areas in the image and ignore irrelevant backgrounds. By introducing the attention mechanism, our model can learn the key features in the image more effectively, reduce the waste of computing resources, and improve the generalization ability of the model. Finally, we verify the reliability of the model on several data sets.
Research Progress of Bandgap Reference Circuit
Authors: Bao Yuxuan
Published: July 2024

As an important part of integrated circuit design, bandgap reference circuit is widely used in various chips, among which ADC (analog-to-digital converter) and DAC(digital-to-analog converter) are typical examples. This paper introduces the bandgap reference circuit and its working principle in detail, and then systematically combs and introduces a variety of bandgap reference circuits. A conventional bandgap reference circuit consists of an op-amp, two bipolar transistors and multiple resistors; The CMOS bandgap reference circuit uses the common-source common-gate current mirror to provide the bias current to reduce the power consumption and the channel length modulation effect so that the circuit can work at a lower supply voltage. A bandgap reference circuit using PTAT (proportional to absolute temperature) current to generate reference voltages with different temperature coefficients can produce a simpler circuit structure than the traditional bandgap reference circuit. By summarizing and comparing these bandgap reference circuits, the latest trends and technical trends in this field are presented, providing guidance and inspiration for future research work.
Preface: 5th International Conference on Mechanical Engineering, Civil Engineering and Material Engineering (MECEME 2024)
Authors: Cissie Mirabelle , Cao Huilei
Published: July 2024

It is with great pleasure to introduce the proceedings of the 2024 5th International Conference on Mechanical Engineering, Civil Engineering and Material Engineering (MECEME 2024). The conference was held during June 01-02, 2024 in Lyon, France.
MECEME series provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the fields of mechanical engineering, green manufacturing, architectural design, construction technology, civil engineering, and material engineering. This conference provides an opportunity to highlight recent developments and to identify emerging and future areas of growth in these exciting fields.
MECEME 2024 has the main purpose to bring researchers and scholars to share their knowledge and experiences. This conference provided delegates with a good opportunity to exchange new ideas, establish research and/or business contacts, and establish potential partnerships for global partnerships. We sincerely hope that this conference will help to increase knowledge in relevant scientific and academic fields.
Scientific Committee of MECEME 2024
Lyon, France
Research on Cargo Forecasting Based on ARIMA Time Series Forecasting and LSTM Models
Authors: Li Yihan , Li Zhetong
Published: July 2024

With the prosperity of the domestic e-commerce market, the volume of express delivery business climbs dramatically, which poses an unprecedented challenge to the cargo volume prediction of the warehouse in the transit centre. This paper introduces traditional logistics sorting centre cargo volume prediction models, such as grey prediction model, Bayesian deep network generalized linear model, ARMA model, etc., as well as current common prediction methods including qualitative prediction, linear regression prediction, time series prediction and neural network prediction. Then, the improved ARIMA and LSTM models are proposed to predict the cargo volume of logistics sorting centres based on the improved ARIMA and LSTM models, and the construction and improvement methods of these two models are described in detail, including the SARIMAX model and the improved LSTM model based on the attention mechanism. Finally, this paper describes the construction method of the two combined models, and selects the most suitable prediction model through comparative analysis, and predicts the daily and hourly cargo volume in the next 30 days and carries out experiments and analyses.
Analysis of treatment methods for arginase deficiency
Authors: Gao Haixu
Published: July 2024

Arginase deficiency is a rare, critical and highly lethal inherited metabolic disorder which may lead to impaired motor skills and neurodevelopmental deficits. Three mainstay treatment options have been arisen: drugs, liver transplantation surgery, and dietary control. Drugs are categorized as nitrogen scavengers and recombinant human arginase pharmaceuticals. They are fast-acting and less harmful but costly and may have complications. Liver transplantation has become possible in recent years with the development of minimally invasive surgery. This approach is highly effective but harmful to the patient. Dietary control is the least expensive and less harmful but less effective. The researchers should continue to focus on the long-term effects of the medications that are already available, improve surgical treatments and procedures, and investigate the effects of long-term dietary control on the disease. This article briefly analyzes and evaluates the therapeutic options that have already been developed, and looks forward to new treatments that may be developed in the future.
Study on player momentum based on rank-sum ratio evaluation method
Authors: Zhang Tao , Qin Jiayi , Li Yuang
Published: July 2024

Tennis is a global sport, with Wimbledon being one of the most historic and prestigious international tennis opens. The concept of "momentum" in tennis matches, defined as "strength or force gained by motion or by a series of events," plays a critical role in influencing the course of a match. The Rank-sum ratio evaluation method (RSR) based on the CRITIC weighting method was used to score players’ performances at specific moments using the aforementioned seven indicators. Using this model, we evaluated the the billiards championship final, compared players’ performances, and effectively explained the fluctuations observed during the final. Meanwhile, Kendall correlation analysis was conducted on the momentum score and success indicators, and the Kendall coefficient was obtained Equal to 0.96. This research is anticipated to contribute to the prediction of scores in sports events
The Construction of Acculturation Model for Cross-Cultural Adaptation of Ethnic Minority College Students
Authors: Gao Ye
Published: July 2024

The educational management and service for minority university students are significant components of ideological and political education in universities, which is a crucial phase for consolidating and casting the consciousness of the Chinese nation as a community. Based on the current state of education and management services for minority students in universities, this paper analyzes the acculturation model for the cross-cultural adaptation of minority university students from a theoretical perspective. Drawing from practical experiences, it explores ways to further improve the cross-cultural adaptation mechanism in universities, enhance students' cross-cultural adaptation abilities, and provide effective pathways to strengthen the ideological and political education of ethnic minority college students.
The Two-Way Promotional Relationship between New Quality Productive Forces and high-standard opening-up
Authors: Chen Hao , Xu Yiqing , Chen Weiyi
Published: July 2024

As a new form of productivity, new quality productive forces is an innovative concept of China 's high-quality development and will also become the core driving force for China 's economic development. High-standard opening-up is also a new concrete measure for China to open in the new era. Through the respective connotation and development context of new quality productive forces and high-level opening-up, this paper combines the features of the two, and analyzes the internal logical relationship between the two through theoretical analysis. It is concluded that new quality productive forces promote the improvement of export competitiveness and then affects the high-standard opening-up, and the linkage between high-standard opening-up and dual circulation is closely related. High-standard opening-up promotes the interaction and integration of domestic and foreign economic systems, realize the organic connection and common development of domestic and international dual circulations, and the development of dual circulations reacts to the improvement of new quality productive forces. That is, there is a two-way promotion relationship between high-standard opening-up and the development of new quality productive forces. Finally, combined with the relationship between the two, it puts forward targeted policy advice on how to promote high-standard opening and promote the development of new quality productive forces.
Education And Environment-Friendly Behavior: The Mediating Role of Environmental Concern
Authors: Yang Ruicheng
Published: July 2024

Under the background of China's "carbon peaking and carbon neutrality goals" and the reform of global environmental governance, environmental behaviors of citizens are more deeply integrated into the national ecological environment governance system. Furthermore, individual environmental behaviors are gradually occupying an increasingly important position in the national ecological environment governance. Using the data of Chinese General Social Survey in 2021 (CGSS2021), this study investigates the relationship between an individual's educational attainment and environment-friendly behavior conduct, as well as the mediating function of environmental concern. The study finds that, first, after controlling for the major social and demographic variables that affect an individual's environment-friendly behavior, there are valid evidences illustrating positive relationship between education level and environment-friendly behavior. Second, when the education level of individuals is given, the stronger the environmental perception of individuals, the higher the severity of environmental problems, and the more obvious the positive effect of education on environment-friendly behaviors. Third, the individual's education level affects the environment-friendly behavior by influencing the individual's environmental concern to some extent. Last but not least, this paper has certain implications for individual environmental participation and ecological civilization construction of "beautiful China".
Research on the Integration of Online and Offline Channels in Marketing
Authors: Huang Chixin , Wu Yanrui
Published: July 2024

This paper delves into the multifaceted advantages, evolving challenges, and far-reaching strategic implications of integrating online and offline marketing approaches within today's dynamic business environment. The fusion of digital and traditional marketing strategies not only boosts brand visibility, customer engagement, and campaign efficacy but also navigates the complex terrain of contemporary consumer interactions. The key advantages of this integrated approach extend beyond mere visibility to encompass a cohesive brand narrative across diverse touchpoints. By seamlessly melding digital and traditional channels, businesses can enrich customer engagement through immersive omni-channel experiences. Moreover, they can harness the power of cross-promotion and data-driven strategies to amplify campaign outcomes. However, amidst these benefits, significant challenges loom. The resource-intensive nature of integrated marketing initiatives demands careful allocation of budgets and skilled personnel. Additionally, technical complexities in cross-channel tracking pose hurdles in accurately measuring campaign performance and attributing conversions. Furthermore, the potential for customer confusion underscores the importance of streamlined messaging and consistent brand positioning. Yet, within these challenges lie promising opportunities. Businesses can leverage the combined strengths of digital and traditional platforms to sculpt seamless customer journeys and glean profound insights into evolving consumer behaviors. The horizon of integrated marketing beckons further innovation, with technologies poised to redefine personalized engagement and deepen customer relationships. Looking ahead, the future of integrated marketing hinges on embracing technology-driven advancements and refining personalized service offerings. By embracing these forward-looking strategies, businesses can cultivate enduring customer relationships and pave the way for sustained growth in an ever-evolving marketplace.
Research on Enterprise Comprehensive Budget Management Based on "Big Data and Cloud Accounting" Environment
Authors: Xiao Rui , Chen Yijun
Published: July 2024

Comprehensive budget management as the value orientation and strategic leadership of the enterprise business strategy, related to the overall planning and dynamic control of internal resources in the enterprise, in the enterprise management activities play a vital role. However, with the continuous expansion of the scale of modern enterprises and the increasing complexity of various economic operations, the traditional comprehensive budget management lack of strategic orientation, poor information communication and other shortcomings are increasingly prominent, and it is difficult to adapt to the needs of modern enterprise development. The emergence of big data, cloud accounting for the modern enterprise comprehensive budget management change provides technical support, so that it can adapt to and meet the new needs and new challenges of the current budget management. This paper starts from the research status quo of comprehensive budget management and related theories, describes the impact of big data, cloud accounting for enterprise comprehensive budget management, and analyses the current implementation of comprehensive budget management of Company A as an actual case. It is found that there are problems such as unreasonable budget management organisational structure, imperfect budget analysis and evaluation mechanism, and unsound budget preparation and control mechanism in Company A. Based on the above findings, it is proposed to improve Company A's comprehensive budget management. Based on the above findings, countermeasures and suggestions are put forward to improve the organisational structure of the company's comprehensive budget management, establish the budget analysis and evaluation mechanism based on big data, and establish the budget preparation and control mechanism based on big data, with a view to providing certain reference for the application of the enterprise's comprehensive budget management.
Factors Contributing to the High Performance of Education Systems: Insights from Finland
Authors: Liu Siyi
Published: July 2024

This essay explores the factors contributing to the high performance of education systems in Finland, providing insights that can inform global education reform efforts. Through an analysis encompassing teacher quality, curriculum design, equitable access, parental involvement, policy and governance, innovation, and cultural and social factors, the essay illustrates Finland’s comprehensive approach to education. Key to Finland’s success are robust teacher training, student-centered pedagogy, and inclusive practices, underpinned by a commitment to educational quality and equity. Central to Finland’s achievement is the collaborative synergy among schools, parents, and communities, facilitated by effective leadership and governance, ensuring coherence between educational objectives and evidence-based policies. Moreover, Finland’s culture of innovation, adaptability, and societal values prioritising education significantly shape its educational outcomes. Data analysed predominantly derive from Worldmapper and PISA studies. By examining these factors, policymakers and educators globally can derive valuable insights from Finland’s education system to enhance educational quality and accessibility universally. This essay advocates for continued research and international collaboration to advance towards achieving high-performing education systems worldwide.
Application and Impact of Cloud Computing in Business Development
Authors: Chen Xiaonuo
Published: July 2024

With the rapid development of China's economy and technology at this stage, cloud computing technology has become an important way for most enterprises to develop and innovate. Big data products developed by enterprises using cloud computing occupy a very important role in the sales profitability of cloud vendors as well as in the technical reputation of enterprises. At the present stage, Alibaba Cloud is one of the leading cloud vendors in China. Alibaba Cloud has strong technical strength in the innovation of technology, such as, database capacity increase, acceleration of cloud servers and so on. China has been strengthening the development of cloud vendors, but in the society where cloud computing products are popularized, it faces many problems, for example the leakage of security information affects the development and profitability of enterprises, the lack of cloud computing platform construction makes the process of automation and informatization and intelligent construction slow, which is not conducive to the full play of the functional value of the cloud computing platform.
Association Rule Algorithm-Based Prediction Model for SCL-90 Psychological Measurement: A Comparative Analysis Before and During the COVID-19 Pandemic
Authors: Wang Qiang , Yap Daisy S.
Published: July 2024

A prediction model for SCL-90 psychometric data was developed by association rule algorithm. The SCL-90 data reported by college students were used to predict possible psychological symptoms and psychological states by mining the association rules in the data. After the experiment, it is found that there are significant differences in the SCL-90 data in different time periods. As an example, the outbreak of COVID-19 had a significant impact on the mental health of college students in 2019 and 2020.The data in 2019 showed relatively few fixated mental states, while the data in 2020 showed a significant increase in fixated mental states. It can be inferred that this difference is related to the negative impact of the COVID-19 outbreak on mental health, with the COVID-19 outbreak increasing anxiety, which in turn led to the emergence of psychological symp-toms. Based on these findings, it is important to focus not only on physical health but also on changes in mental health in future mental health interventions and prevention efforts. The predictive model derived from this study can inform mental health management and help identify possible psychological symptoms and psychological states and take appropriate inter-ventions.
Talking about the Status of Women in Tang and Song Dynasties with the Change of Dress
Authors: Wang Xin
Published: July 2024

In Tang and Song dynasties, with the social, economic and cultural changes, women's status also changed significantly, which was not only reflected in the evolution of social roles and rights, but also reflected in the change of dress style. The free and unrestrained dress style of Tang Dynasty and the simple and elegant dress characteristics of Song Dynasty showed the changes of women's ideas and status in different periods.
Analysis on Construction Project Mode under Green Construction Concept
Authors: Zhu Ziyang
Published: July 2024

The construction industry consumes a lot of resources and often destroys the ecological environment. Under this background, this paper explores the building mode under the concept of green building. Starting from the definition and concept of green building, this paper expounds sustainable supply chain management and green building technology to promote energy conservation, efficiency and sustainable development of the building industry. Then, by studying the form layout and green technology of Shenzhen Jianke Building, the application and embodiment of green concept in the construction industry are analyzed. The conclusion shows that the introduction of green building concept not only has a positive impact on the sustainable development of the construction industry and social welfare, but also conforms to the trend of global environmental protection. In the future development, with the continuous progress of science and technology, the field of green building will usher in the application of more innovative technologies. Green building is not only a single building, but also involves urban planning, infrastructure construction and other aspects. With the increasing global awareness of sustainable development, green buildings will become the mainstream trend in the construction industry and play an important role in promoting the global sustainable development process.
An AI-Based System Utilizing IoT-Enabled Ambient Sensors and LLMs for Complex Activity Tracking
Authors: Sun Yuan , Ortiz Jorge
Published: July 2024

Complex activity recognition plays an important role in elderly care assistance. However, the reasoning ability of edge devices is constrained by the classic machine learning model capacity. In this paper, we present a non-invasive ambient sensing system that can detect multiple activities and apply large language models (LLMs) to reason the activity sequences. This method effectively combines edge devices and LLMs to help elderly people in their daily activities, such as reminding them to take pills or handling emergencies like falls. The LLM-based edge device can also serve as an interface to interact with elderly people, especially with memory issue, assisting them in their daily lives. By deploying such a system, we believe that the smart sensing system can improve the quality of life for older people and provide more efficient protection.
Analysis Of Dior’s Marketing Strategy Based On 4P Theory
Authors: Wang Zirui
Published: July 2024

This essay analyses the strategy of Dior based on the 4P theory. The paper provides suggestions for Dior to maintain or even raise its leading position by discussing the current strategy in four key areas. The recommendations are in line with the current marketing trends and the overall business environment. Dior should focus on the innovation and design of its high-end fashion products to satisfy the needs of luxury consumers. For pricing, it is crucial to maintain a high-value positioning for a luxury brand while taking into account competition and the purchasing power of consumers. Dior also needs to be adaptable in modifying its pricing strategy. The paper suggests that mainstream social media should be used to improve the visibility of the Dior brand. To increase sales, the paper recommends that pop stars should be enlisted as brand ambassadors, who can post pictures of themselves using Dior's products. Additionally, it is advised that Dior strengthen its loyalty program by providing frequent customers with discounts, exclusive offers, and early access to new products. Dior should be careful in selecting the appropriate sales channel and location for its products, whether it is an online or physical store. It is essential to maintain brand consistency and provide customers with a positive shopping experience. The implementation of these strategies will be critical for Dior in the highly competitive luxury market.
Research on Grid Governance of Urban Community in Inner Mongolia
Authors: Gao Zhenqing
Published: July 2024

Urban community grid is the smallest unit and last link of national management and social governance, the last lock of people's social life chain, and the most direct experience of people's social life happiness and security. Therefore, doing a good job of urban community grid management is the cornerstone of national stability and social tranquillity.This paper is based on the present situation and problem analysis of urban social grid governance in Inner Mongolia, it would put forward some suggestions for urban community grid governance in Inner Mongolia.
Solar Active Layer Materials and Research Progress
Authors: Pan Chenghao
Published: July 2024

Solar cell is an electrical device, which converts the light energy into electrical energy through the photovoltaic (PV) effect. It is an efficient way to alleviate global warming effect. This work explains the principle and the structure of OPV. There are mainly five layers of OPV and five steps of how OPV works. Besides, a brief review of the history of OPV’s development is given in this work. As a matter of fact, the active layer is the most important part of the solar cell. It directly determines the conversion efficiency of solar cell. The stucture of active layer is shown in the paper as well. The active layer is divided into two main categories: organic and inorganic. The research progress of each type of active layer is illustrated in this work. A detailed description of the types of active layer of solar cell and the pros and cons of each type are given in this work.
A Study on Momentum Prediction for Tennis Matches Based on Random Forest and Support Vector Machine Algorithms
Authors: Wang Yizhi , Cao Jiaming , Hu Rui
Published: July 2024

In this study, based on the 2023 Wimbledon Championship finals data, we use the random forest model and support vector machine to quantify the match momentum. Firstly, we built a random forest regression prediction model and used data preprocessing and integrated learning methods to improve the accuracy of the prediction. By using the pandas and Scikit-learn libraries in Python for model training and prediction, we successfully quantify the effect of momentum on race outcomes. Secondly, we demonstrate that the volatility of match results is not random and illustrate the importance of momentum in competitive matches, showing the correlation between momentum and match wins and losses through correlation tests and support vector machine algorithms. Finally, we verified the relationship between momentum calculation and match results by the Kolmogorov-Smirnov test, summarised the strengths and weaknesses of the model, and presented an outlook for future improvement. In summary, this study provides a new approach to understand the influencing factors of match momentum and provides a useful reference for future related studies.
Population Aging in Japan: Stylized Facts, Causes, and Consequences
Authors: Lian Jiayulu
Published: July 2024

This study explores the impact of Japan’s rapidly aging population from various angles, a pressing issue that stands at the forefront of global demographic challenges. The paper employs an interdisciplinary approach, integrating data analysis with societal and economic factors, to comprehensively explore the consequences of this demographic shift. The research encompasses a thorough examination of Japan’s population trends, including birth and marriage rates, life expectancy, and the balance between urban and rural demographics. The aim is to not only illuminate the present condition but also to express the underlying causes and forecast potential long-term effects on society and the economy. A key discovery of the research is the intricate connections between Japan's educational advancements, particularly among women, and the nation's declining birth rate, revealing an interplay between societal progress and demographic pressures. The paper's significance lies in its contribution to the discourse on aging societies, offering a case study of Japan as a pioneer for similar global trends. From a policy standpoint, this paper proposes strategic recommendations for investors and policymakers. These include advocating for support structures that reconcile the increasing participation of women in the workforce with incentives for family growth, and advising leaders to foster a socio-economic environment that accommodates an aging demographic while promoting sustainable development. The findings and propositions underscore the need for innovative, adaptive strategies to address the complex implications of an aging population.
The Impact of the Announcement of the Vaccine's Success on the Company's Stock
Authors: Yin Nuoheng
Published: July 2024

This article examines the impact of Pfizer's announcement of the vaccine's success within the framework of the ongoing COVID-19 situation. By constructing ARIMA model, this paper compares Pfizer's stock price change after the vaccine announcement with the forecast unannounced stock price change, so as to judge the impact on the company. This paper found that the company's stock price rose significantly, proving that the company can promote the development of vaccine research and development by announcing a positive image. This paper covers the economic and public health areas to study the impact of the company, and the use of time series to predict. Through the research conclusion, this paper suggests that investors may prefer to choose a more positive image and impact of the enterprise investment, in order to protect returns. At the same time, leaders can also lead the enterprise to create a positive image, to bring more support and opportunities.