bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Optimization Path of Incentive Policies for Family Doctors in Fuzhou City
Authors: Lin Xiangjie
Published: June 2024

To fully leverage the role of family doctors as health gatekeepers and effectively improve their work enthusiasm and satisfaction, China vigorously promotes incentive policies for family doctors. However, there are many problems in the institutional design and local implementation of incentive policies for family doctors in China, resulting in low job satisfaction among family doctors in many regions currently. Based on this, this article takes Fuzhou, China as an example to point out that the incentive system for family doctors still faces problems such as low sense of professional achievement, limited promotion space, and unreasonable salary distribution. Based on this, this paper puts forward the following suggestions. The relevant part should focus on optimizing the performance model and providing a basic guarantee for family doctors. At the same time, attention should be paid to strengthening training to enhance their competitiveness. Finally, improve the promotion system to provide a platform for the development of family doctors. Taking Fuzhou City as an example, this study provides local experience for the development of a family doctor incentive system in China.
Digital Village Construction Right Research on the Impact of Digital Literacy among Rural Residents
Authors: Lu Yuhe , Xie Qinwei , Zhang Zonghao
Published: June 2024

In the current era of digitalization, the creation of digital villages has become a major driving force behind rural rehabilitation, as well as a crucial component of modernizing rural areas and agriculture. Given how quickly the digital economy is growing, digital literacy is now a fundamental skill that every person should possess. By fostering and enhancing the digital literacy of rural communities, it is possible to close the digital divide that exists between urban and rural areas, generate endogenous motivation, enhance digital production, and achieve rural rejuvenation. China's rural resident's digital literacy practice there are still more problems. This paper deeply analyzes the connotation and characteristics of digital village construction and expounds that there are obstacles to the improvement of rural residents' digital literacy, such as imperfect digital infrastructure and weak digital awareness of rural residents. Finally, this paper puts forward corresponding suggestions for rural residents to improve their digital literacy: The first point involves bolstering the development of rural infrastructure to enhance the digital hard power of the countryside, and the second point is to promote communication between urban and rural informatization.
Design of anti-theft alarm and fire detection system based on IoT cloud platform
Authors: Ju Minhua
Published: June 2024

This time for a STM 32 single chip computer as the core of the intelligent home system of anti-theft alarm system for a detailed design, It aims to provide a comprehensive understanding of the hardware composition, software design and implementation principles of the smart home system, And analyze its advantages and disadvantages, Thus better providing intelligent early warning for human beings, Prevent the emergence of emergencies, Saving the lives and property of the people, The security information of the user can be monitored remotely, It can also turn it off via a button, In the anti-theft mode, You can also use an infrared sensor module installed in the human body to detect whether there is anyone in the home, So as to achieve the purpose of fire and fire prevention and theft. On this basis, a residential intelligent management system based on wireless communication is designed. The OLED LCD screen can display the currently detected temperature and the density of the flue gas, and use the button to set an upper alarm limit. When the detected temperature or smoke content exceeds the upper limit, the LED indicator light will light up and issue an alarm. Also, there is an emergency button to send out a distress signal at any time.
A Review of Research on Pricing Strategies and Pricing Factors of Enterprise Products
Authors: Huang Yongcheng
Published: June 2024

As one of the core strategies of enterprise marketing activities, product pricing has an important impact on the market share, profit level and brand image of enterprise products. There are many factors that enterprises consider in product pricing, such as cost, customer demand, brand awareness, market penetration, market trend, market development prospects, market competition environment, policy and other factors, which are important factors affecting enterprise product pricing. This paper firstly introduces the importance of product pricing in marketing strategy, combined with the nature of domestic and foreign enterprise products, and then summarizes the pricing strategy, pricing method and applicable conditions of enterprise products, and analyzes the pricing factors and influencing mechanism of enterprise products. Then, it summarizes the product cost, product types, customer demand, price elasticity, consumer behavior, sales channels, etc. Finally, it summarizes the shortcomings of existing literature research.
Research on the Incentive Status and Optimization Strategy of Local University Teachers
Authors: Cao Xin
Published: June 2024

Since the reform and opening up, the comprehensive ability of the country has been continuously improved, and the requirements for talents are also getting higher and higher. Therefore, we have invested a lot of money in the development and training of universities, which brings a rare opportunity for the development and training of talents in our universities. Today, the shortage of higher education resources, more than one thousand colleges and universities to a certain extent can solve the needs of modern China, but now, "Chinese and foreign universities", "double top" construction has become the object of colleges, and the construction of high quality, high level of university, cannot leave the optimization of teachers and incentives for teachers.
The Challenges of Social-Emotional Learning of College Students Toward Enhanced Learning Program
Authors: Li Lina
Published: June 2024

Social-emotional learning plays a pivotal role in college students' academic career, which not only enhances students' well-being, but also motivates them to achieve higher academic success. This thesis investigates the current situation of social-emotional learning among college students in Yichun College in China, and finds that students have good performance in Self-Awareness, Self-Management, Relationship Skills, and Responsible Decision-Making, but there are some students who are weaker in social-emotional competence, and the school adopts the measures of opening a hotline for mental health assistance and The school has taken measures such as opening a mental health support hotline, offering courses related to emotional enhancement, and increasing the content of social-emotional learning in teachers' teaching activities, which have achieved good results.
Performance Comparison and Analysis of UCB, ETC, and Thompson Sampling Algorithms in the Multi-Armed Bandit Problem
Authors: Hu Qijin
Published: June 2024

In this study, the nuanced interplay between problem complexity, prior knowledge, and the exploration-exploitation balance is examined, given their critical impact on algorithmic performance in diverse settings. To gain a deeper understanding of these dynamics, three algorithms – Upper Confidence Bound (UCB), Explore-Then-Commit (ETC), and Thompson Sampling – are selected for a comprehensive investigation. Each of these algorithms presents unique approaches to handling the challenges posed by varying problem contexts. The UCB algorithm, known for its robustness in balancing exploration and exploitation, is scrutinized for its performance in environments with differing levels of complexity and uncertainty. This algorithm's reliance on confidence bounds makes it particularly relevant in scenarios where accurate estimates of uncertainty can significantly enhance decision-making processes. ETC, on the other hand, is characterized by its phased approach, initially exploring options before committing to a seemingly optimal choice. This study examines how the ETC algorithm's performance is influenced by the availability of prior knowledge and the intricacy of the problem at hand. Its phased nature makes it a subject of interest in environments where initial exploration can yield substantial insights for subsequent exploitation.
Exploring the Impact of Regional Cooperation on Regional Economic and Social Development: An Empirical Study Based on the Belt and Road Initiative
Authors: Li Zhengkun , Wei Kangzhan , Peng Xiaoyue
Published: June 2024

Regional cooperation plays a pivotal role in driving both regional and global economic growth, and the Belt and Road Initiative (BRI) stands as a significant catalyst for the economic and social development of the countries and regions along its routes. Based on economic and social data spanning from 2011 to 2019 across 40 countries, this research employs the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) evaluation method to construct a Regional Economic and Social Development Index. Subsequently, employing a multi-period difference-in-differences model, the study meticulously examines the positive impact of the BRI on the development trajectory of relevant countries. Heterogeneity analysis reveals that the influence of the BRI is notably pronounced in developing nations, China's neighboring countries, and those along the Maritime Silk Road. Our research contributes significantly to elucidating the effects of regional cooperation on regional economic development, thus reinforcing the trajectory of economic globalization. Furthermore, we offer insightful policy recommendations for the future evolution of the Belt and Road Initiative.
Theoretical Evaluation and Application of Case Law Teaching in General Principles of Commercial Law
Authors: Li Lei
Published: June 2024

The General Principles of Commercial Law is a general summary and abstraction of the normative system of commercial law, which is of great guiding significance for the rules of adjudication of disputes in commercial practice in reality, and the lack of general commercial law norms makes the research and teaching of the General Theory of Commercial Law particularly important. The study of general commercial law is undoubtedly of more fundamental significance than the study of specific areas of commercial law. With the development of social economy, commercial law embodies more and more technical and practical, and the cultivation of commercial legal talents is more and more oriented to the employment demand, case study teaching has advantages in the teaching of general commercial law and should be emphasized. In the case teaching of general commercial law, the irrevocability of securities trading results can clearly reflect the style of commercial law to protect the security of transactions. The proportion and priority of case teaching in the teaching of general commercial law should be emphasized.
Job Industry Analysis based on Decision Tree Algorithm
Authors: Liao Yunyang , He Yunxiao , Mu Juanjuan , Chen Jiawen , Li Juan
Published: June 2024

Influenced by various factors such as market economic policies, the employment problem of college graduates has become more and more significant. Therefore, the design of employment job industry analysis based on decision tree algorithm is significant for job seekers. Aiming at the influencing factors such as region, specialty, salary and so on, combined with the prediction model data preparation, data pre-processing, correlation analysis of data, visualization technology, to realize the job industry analysis based on the decision tree algorithm, to provide certain reference basis for the job seekers in the job-seeking project.
The Relationship between Oil Prices, Gold Prices, the Stock Market, and U.S. GDP
Authors: Su Xingyu
Published: June 2024

The forecast of GDP has always been a popular research topic today, and its related influencing factors are also complicated. This paper selects three key factors in economic development: gold price, crude oil price, and stock market index, explores their relationship with U.S. GDP, and then uses these three factors as predictive variables to obtain a multiple linear regression equation related to GDP. The research methods of this paper are as follows: Firstly, monthly U.S. GDP, monthly crude oil price, monthly gold price, and monthly S&P 500 index were collected. Secondly, correlation analysis was carried out on these data, including calculation of correlation coefficient and cross-correlation analysis. Correlation analysis showed that GDP had a significant positive correlation with other variables. Then, a multiple linear regression model was established with monthly U.S. GDP as the predicted variable, monthly crude oil price, monthly gold price, and monthly S&P 500 index as the predictor variable. Finally, multiple regression equations are obtained through testing. This multiple regression equation can be used to predict GDP further.
Research on the Healthy Development of China's Digital Economy
Authors: Liu Ruiqi
Published: June 2024

With the rapid development of information technology, digital economy has made great progress in China. However, the healthy development of digital economy faces a series of problems and challenges. This paper analyses the current development of China's digital economy by sorting out the concepts and characteristics of digital economy, discusses the problems facing the development of China's digital economy, and puts forward corresponding countermeasures and suggestions. The study finds that although the development of China's digital economy has made remarkable achievements, there are still problems such as imperfect infrastructure, insufficient innovation capacity, imperfect policies and regulations, and security risk challenges. In order to promote the healthy development of China's digital economy, it is necessary to strengthen the construction of digital economy infrastructure, enhance the innovation capacity of the digital economy, improve digital economy policies and laws and regulations, and strengthen the security of the digital economy. Meanwhile, the healthy development of China's digital economy faces both prospects and challenges. Against the backdrop of China's economic transformation and upgrading, the digital economy will become an important force driving economic development, but it also needs to deal with the challenges of technological change, data privacy protection and talent training.
Research on Audit Problems and Countermeasures of "Special Fund for Nutrition Improvement Plan" of Y Audit Bureau
Authors: Wei Siying , Guo Xuefei , Jiang Yujie , Lin Shuai
Published: June 2024

The implementation of the nutrition improvement plan for rural compulsory education students is an important policy measure for the state to promote educational equity and improve the nutritional status of students in poor areas. The audit of special funds for nutrition improvement program can test the implementation effect of the policy, and standardize the allocation, management and use of funds in education finance and other departments.Y Audit Bureau is the government agency in charge of auditing of Y Municipal People's Government. In September 2023, Y Audit Bureau led the audit of special funds for the nutrition improvement Plan for rural compulsory education students, focusing on policy implementation, fund distribution and use, food safety, etc., promoting the implementation of the nutrition improvement plan policy through audit supervision, and safeguarding the vital interests of rural compulsory education students. Taking Y Audit Bureau as an example, this paper summarizes and refines the key points of the audit work of the nutrition improvement plan, in order to provide reference for relevant auditors and management departments.
Implications of Singapore's Congestion Pricing Policy for China's Transportation Governance
Authors: Li Zang
Published: June 2024

With the advent of the post-epidemic era, traffic congestion in urbanized areas around the world is showing a serious trend. China, as the world's largest developing country, faces serious traffic problems during urbanization. In contrast, Singapore, as one of the Asian countries, has successfully implemented a series of traffic management policies, including congestion pricing. The main theme of this paper is to study the inspiration of Singapore's congestion pricing policy on China's transportation governance. This paper mainly analyzes the reasons for the success of Singapore's congestion pricing policy. At the same time, according to the current situation of traffic congestion in China and related research results, it summarizes the three aspects of congestion pricing in China to implement the proposal. First, congestion pricing policies should be implemented in parallel with other means of transportation management. Secondly, the congestion charging policy should be flexibly adjusted in the light of urban conditions. Finally, the congestion charging policy should focus on publicity and recognition by the public. Through this study, it is hoped that it can provide the right direction guidance and reference suggestions when the Chinese government considers the implementation of congestion pricing and similar policies in the future, and it is hoped to come up with more comprehensive and universal reference suggestions if further studies are conducted.
A new model for carbon neutrality based on PV power generation
Authors: Gu Runchi , Liu Yiyang , Yang Jiali
Published: June 2024

Energy issues has long been a significant problem perplexing multiple countries. Carbon neutrality is an essential area for power generation. The paper studies the feasibility and prospect of photovoltaic power generation through constructing mathematical models to forecast the electricity supply volume and the maximal PV power generation from 2024 to 2060, giving answer to the accessibility of carbon peak and carbon neutrality by 2060. Hence, we build a mathematical model to analyze different factors contributing to the electricity supply in China and predict its trend from the period 2024 to 2060. Combined with the model established in the paper for PV power generation, we reach the conclusion that China can realize carbon peak and carbon neutrality by 2060, which is much helpful for the government to make strategies.
Theoretical and Modeling Research on The Valuation of Data Assets
Authors: Wu Yilun
Published: June 2024

The era of big data has greatly accelerated the process of capitalization of data elements, and enterprises can fully release their intrinsic value and gain a foothold in the increasingly fierce market competition in the future only if they develop and utilize their data assets in a scientific and efficient manner. However, academic research on data assets is relatively small, and a unified and comprehensive theoretical framework has not yet been formed. How to objectively and accurately disclose the status of enterprise data assets and maximize the role of data assets in enterprise production and social development is a problem that enterprises need to solve urgently. Therefore, this paper further defines the concepts and characteristics of data and data assets on the basis of previous research, applies the traditional market method, income method, cost method, and innovatively borrows Chen model and artificial neural network model to measure the value of data assets, summarizes the challenges of data asset management, analyzes the problems of data assets in the process of applying them, and proposes appropriate It summarizes the challenges of data asset management, analyzes the problems of data assets in the process of application and proposes corresponding solutions, trying to provide a little reference for the practical handling of enterprise data assets in the era of digital economy as well as the theory and method of national economic accounting.
Research on the Path of Financial Accounting Transformation to Management Accounting in the Big Data Era
Authors: Yang Xue
Published: June 2024

This paper explores the significance, existing problems, and strategies for addressing the transformation of financial accounting to management accounting in the era of big data. It first elucidates the importance of the transformation, including enhancing decision support, conducting cost-benefit analysis, and improving performance. Subsequently, it analyzes the problems encountered during the transformation process, such as lack of skills and knowledge, low utilization of data resources, and difficulties in system integration. It then proposes countermeasures to address these issues, including technological capacity building, talent training and recruitment, system integration coordination, and enhancement of management accounting decision analysis capabilities. Finally, it points out that as technology and market environments evolve, this transformation will continue to deepen, necessitating continuous skill enhancement for professionals in the financial accounting field and proactive adaptation by enterprises to enhance competitiveness.
Digital Futures: How Technologies Shape Today’s Education
Authors: Chu Tianyi , Wang Le , Zhang Xueqian
Published: June 2024

This paper discusses the positive impact of digital technology on education. The application of digital technology in the field of education is analysed, such as mobile applications, MOOCs, and ChatGPT. The paper discovers how digital technology fosters creativity, enhances the distribution of educational information, and offers personalized learning. The use of digital technology in teaching is beneficial. It offers a variety of learning tools, encourages individualised instruction, boosts teaching effectiveness, and fortifies the bond between educators and learners – all of which support educational equity. Simultaneously, it advances the modernisation of education and enhances teaching resources, enables personalised learning, enhances the effectiveness of instruction, etc. Additionally, this paper highlights how digital technology may enhance the effectiveness and calibre of education, assisting students in gaining a deeper understanding of concepts and abilities. However, education practitioners also need to pay attention to the problems in the application of technology to ensure their effective application.
The Development of China's New Energy Battery and Automotive Industry
Authors: Liu Yufeng
Published: June 2024

This paper provides an in-depth analysis of the development of China's new energy battery and automotive industry, focusing on the transition from traditional vehicles to new energy vehicles (NEVs) due to global energy restructuring and environmental concerns. The Chinese government's significant policy support for NEVs and related power battery sectors is highlighted, emphasizing their role in reducing carbon emissions and promoting environmental conservation. The paper traces the evolution of China's new energy battery and automobile industry, characterized by rapid technological progress and strategic national support. It examines various battery technologies, including lead-acid, nickel-based, and lithium-ion batteries, each with unique benefits and challenges. Lithium-ion batteries, despite their high cost and safety concerns, are preferred for their superior energy density and cycle life. The current development status of the industry is discussed, addressing rapid growth, technological innovations, and challenges such as battery inconsistency, safety, and recycling. The paper emphasizes the significance of technological advancements in power batteries, drive motors, and NEV system configurations. Looking to the future, the paper anticipates continued growth in China's NEV and power battery sector, driven by technological innovations, policy support, and alignment with China's dual-carbon strategy. Challenges such as cost control, safety, and battery recycling are recognized as critical areas for future development. In conclusion, the paper asserts that while China's new energy battery and automobile industry is poised for significant growth, it faces multifaceted challenges that require collaborative efforts from the government, industry, and research bodies to ensure sustainable and safe advancement.
Analysis of Japanese Cultural Patterns —Based on Hofstede’s Value Dimensions and Minkov’s Cultural Dimensions
Authors: Luo Li
Published: June 2024

Intercultural communication is of vital importance, as it not only promotes intercultural understanding and respect, but also stimulates innovative thinking and broadens horizons. In today's globalized world, intercultural competence has become the key to individual and organizational success, helping to build a harmonious and pluralistic world. Japanese culture is unique and diverse, blending tradition and modernity, not only in the exquisite art of tea ceremony and flower arrangement, but also in advanced technology and innovation. Its spiritual core of respect for nature and emphasis on etiquette has had a profound impact on the world, highlighting the unique charm and importance of Japanese culture. This paper analyzes Japanese culture based on Hofstede’s Value Dimensions and Minkov’s Cultural Dimensions. It includes individualism or collectivism, high uncertainty avoidance or low uncertainty avoidance, high power distance or low power distance, masculinity or femininity, long or short-term orientation, industry or indulgence, monumentalism or flexumility, exclusionism or universalism, tight or loose culture.
The impact of corporate financialization on stock price crash risk
Authors: Lin Ying
Published: June 2024

In recent years, the continuous occurrence of stock price crashes and the significant financialization trend of non-financial firms have aroused widespread attention from regulators, investors and academia. Based on the panel data of China’s A-share non-financial listed companies from 2010 to 2023, this paper designed a rigorous empirical research program and utilized descriptive statistical analysis, correlation analysis, multiple regression analysis and other analytical methods to explore the impact of enterprise financialization on stock price crash risk. The empirical results show that enterprise financialization is conducive to attenuating future stock price crash risk.
Advances in electrocatalytic carbon dioxide reduction reactors, electrolytes and catalysts
Authors: Xi Wang
Published: June 2024

With the advance of The Times, people's demand for fossil energy has greatly increased, and it is the main energy for people to develop economy and science and technology. However, the large-scale exploitation of fossil energy has led to environmental pollution and energy crisis, and the concentration of CO2 in the air continues to rise, and the greenhouse effect is becoming more and more serious. Therefore, the conversion of CO2 into the high value-added fuels and chemicals we need will be a major measure to solve environmental problems. So, converting CO2 into fuels or high value-added chemicals using CO2 electrocatalytic reduction (CO2RR) technology is an effective way to alleviate the current problems of energy and environment. In this paper, we summarize the research progress in reaction systems, electrolyte effects, and catalyst development in CO2RR experiments, focusing on the electrocatalytic aspects of CO2. Finally, we provide an outlook on the CO2 electrocatalysis industry.
Prediction of Lung Cancer Based on Catboost
Authors: Ma Leqi , Lu Yimeng , Liu Yiduo
Published: June 2024

This research aims to provide guidance for achieving precision medicine by accurately predicting the incidence of lung cancer. This paper used random forest screening to identify several variables that make significant influences on the lung cancer, and used Smote oversampling to address the issue of data imbalance. Finally, this paper used Catboost to construct a model to handle categorical features. Through analyzing experimental data, can found that among the selected variables, age has the greatest importance. Afterwards, validated the model and the training score was 0.9032, indicating good results. At the same time, establish a confusion matrix to prove once again that the model has good predictive performance. Finally, based on cross validation, both the optimal validation accuracy score and the accurate validation accuracy score were above 0.9, indicating that the model performance is excellent. The innovation point of this paper is to realize precision medicine through high accuracy prediction of lung cancer.
Research on Locating and Searching for Missing Submersibles Based on Differential Equations and SAR-A* Algorithm
Authors: Chang Zixin , Li Yuran , Yu Jiaxin
Published: June 2024

In recent years, the application of submersibles has become increasingly widespread. The current focus of research is on real-time and accurate positioning of submersibles to cope with potential emergencies. This paper aims to establish a trajectory model for faulty submersibles. Firstly, a differential equation model for submersible dynamics is established, numerical solutions are obtained and fitted to determine the exponential relationship between velocity and time, resulting in a theoretical formula for submersible displacement. Subsequently, based on the trajectory, a probability model for the presence of targets is established using a two-dimensional Gaussian distribution. The SAR-A* algorithm is employed for regional search, combined with a greedy algorithm to obtain initial deployment points for search and rescue, thus deriving the search and rescue trajectory. This study provides theoretical support for locating and rescuing missing submersibles and is expected to play an important role in future submersible applications.
Measurement of the Angle between stems and leaves of rice based on key point detection
Authors: Seng Xiaoyue , Liu Tonghai , Yang Xue , Zhang Rui , Yuan Chuangchuang , Guo Tiantian , Liu Wenzheng
Published: June 2024

Stem-leaf angle is an important phenotypic parameter of rice, which is crucial for the growth and development of rice plants and scientific breeding. However, the traditional method is inefficient and subjective. In order to quickly and accurately calculate the stem-leaf pinch angle of rice, this paper proposes a key point-based stem-leaf pinch angle detection method. Experimentally, four periods of rice (Jointing stage, Booting stage, Heading stage and Mature stage) are selected as research objects, image data are collected, key points are extracted by YOLOv7-pose network model, and a lightweight convolution method GSConv is introduced, which is able to reduce the complexity of the model and improve the accuracy of the key point detection, the average accuracy of key point detection was improved from 93.7% to 98.7%, an improvement of 5%. Finally, the angular size of the pinch angle was determined based on the coordinates of the key points located by the model, and the R2 of the pinch angle calculation results to the actual manual measurements was the highest of 0.84, the errors for the four periods were 1.543°, 1.716°, 1.213°, and 0.998°. So the method ensures the accuracy of identification while the model size is reduced, and can effectively measure the angle of rice stem and leaf pinch, and the investigated method can better help farmers to understand the growth and development of plants and provide support for the selection of excellent crop traits.
Analysis of Preventive Measures Based on Current Research Status of Allergic Reactions
Authors: Zhu Yanyu
Published: June 2024

Allergic reaction is also known as hypersensitivity reaction, refers to the abnormal specific immune response that occurs in the body after the sensitized body is exposed to the same antigen again. Allergic reaction is mainly physiological dysfunction or pathological damage to tissues and cells. In recent years, with the rapid changes in the human living environment, the incidence of allergic diseases has increased day by day. In the past 20 years, the incidence of allergic diseases has doubled in Western developed countries, and the global prevalence has reached as high as 22%. In recent years, many breakthroughs have been made in the diagnosis, prevention, and treatment of allergic diseases. But there are still gaps in many areas. This article analyzes the integration and analysis of allergy types, causes, treatments, and clinical symptoms. It provides basic knowledge and theoretical support for future research. The problem of preventing allergies has not yet been solved, and future research can focus on methods to prevent allergic diseases.
Different Dietary Patterns and the Chronic Diseases
Authors: Wang Junyu
Published: June 2024

Numerous chronic illnesses continue to be a significant contributor to the myriad variables influencing people's health in the modern world. The effects of different chronic diseases fluctuate greatly depending on the food patterns followed. The objective of this article is to investigate the connection between dietary habits and chronic illnesses. Specifically, the Western diet raises the risk of obesity, atherosclerosis development, and heart disease and stroke, while the Mediterranean diet lowers the incidence of major cardiovascular events. When it comes to the nutritional management of people with type 2 diabetes, the low-GI and high-fiber diet pattern is quite beneficial. It offers a fresh resource for managing diabetes. The issue of obesity is growing more severe in China, and low-carb diets provide a fresh approach to combating the problem. This article addresses the necessity of selecting a diet that is appropriate for you as well as the role that dietary patterns have in preventing chronic diseases.
Research and Design of One-stop Intelligent Elderly Care Comprehensive Service Platform Based on Event-driven Architecture
Authors: Liu Ruichen , Feng Yujia , Niu Tongyu , Zhou Xinyi , Yin Zhenhua
Published: June 2024

In the context of an aging population, innovative development of smart elderly care as a pension model not only offers a novel solution to address the increasing aging issue but also provides an alternative choice to cater to the expanding requirements of elderly care services. This study accomplished system design by conducting research and analysis on China's existing smart pension market while leveraging available information technology. Furthermore, Java Eclipse and MySQL were employed for system construction along with intelligent health monitoring devices to enable real-time health monitoring, collection of vital signs data, and artificial intelligence-based disease prediction within home environments for older adults. Consequently, this approach can fulfill the demands of elderly care services while facilitating intelligent, convenient, and humanized homecare experiences that allow seniors to enjoy their golden years while alleviating burdens on their children.
Research on the Behavior of Start-up Company Managers
Authors: Hu Yuhua
Published: June 2024

Companies established within five years are usually called startups and are usually characterized by small size, limited resources, innovative business models or products, passionate and energetic founding teams, and multiple challenges. Start-up companies are the vitality and source of social and economic development. All unicorn companies and conglomerates evolve from start-up companies. Today, when social classes are relatively rigid, founding a company is one of the ways to quickly achieve economic freedom and social value, and it is also a core part of promoting social and economic development. This article combs through the relevant literature on the influencing factors of entrepreneur behavior, analyzes the internal and external environment faced by entrepreneurs, and explores entrepreneur behavior based on the personal characteristics of entrepreneurs. It has a certain guiding significance for the behavior of start-up company operators and has a certain guiding significance for policies. It has certain reference significance for framers to better formulate relevant policies to encourage entrepreneurship.
Application of Machine Learning to Customer Churn Risk Prediction
Authors: Xiao Chuyan
Published: June 2024

Accompanied by technological globalization and upswing of telecommunication industry in the 21st century, the number of operators is springing up like mushrooms after rain in the market and that intensifies the industry competition environment due to the unprecedented growth trend and the challenges. As a research hotspot in the field of business analysis, prediction of customer attrition risk possesses some extensive range pertaining to applications within global marketing, telecommunications and other fields. Due to the complex relationship between customer information and the products used, it is difficult for merchants to conduct effective risk assessments. Nevertheless, customer churn risk prediction has made such rapid progress over the past few years with the development within computer science and machine learning so that the researchers would be able to establish more potential connections and achieve more accurate predictions about customer churn. This article summarizes customer churn risk prediction in the order of time and technology iteration, and mainly introduces 9 classic prediction methods based on machine learning. Additionally, four relevant performance measurement metrics and one data set are explored. Eventually, in view of the problems existing in the current customer churn risk prediction methods, prospects for future research are proposed.
Disability as Metaphor in Lady Chatterley’s Lover
Authors: Zhao Yanyang
Published: June 2024

Lady Chatterley’s Lover is renowned for its depiction of the human longing for freedom and its critique of industrial civilization. As one of the significant metaphorical forms, the physical disability of the male protagonist Clifford Chatterley revealed social deficiencies in the depiction of the female protagonist’s pursuit of ideal sexual relationships through the use of multi-dimensional disability narratives. This essay examines the multiple metaphorical meanings of disability in British industrial society, contextualizing the novel within its social milieu. It is argued that Lawrence expresses his humanistic concerns through representations of the First World War, which dramatize the interconnected collision between various genders and classes. By tracing the anti-traditional narrative of disability identity, we can discern the protagonist’s personal trauma and struggle, the dissolution of the authority of the British aristocracy, and the alienation of human nature in the industrial society from physical, cultural, and social levels. This enables us to examine the humanistic care conveyed by this work.
Forecasting Bitcoin Trends Based on the ARIMA Model
Authors: Han Jiahuan
Published: June 2024

This research paper aims to conduct a time series forecasting of the bitcoin mean weighted price using the data from Kaggle. The data has a one-minute resolution and includes the following variables: timestamp, open, high, low, close, volume (BTC), volume (currency), and weighted price. Data analysis was achieved using R, a statistical computing and graphics programming language. The main findings of this research paper were that the bitcoin mean weighted price had a strong upward trend and exhibited high volatility over time. The time series also had weak seasonal and significant random components, indicating periodic fluctuations and noise in the data. Four years of data were used to estimate the mean change for the following month. The results indicate that while the expected value may rise somewhat, it will do so with significant variability and unpredictability. The main implications of this research paper were that there was a potential for profit or loss depending on the timing and strategy of buying or selling bitcoins.
Analyzing the Factors Contradicting Public Opinion and Governmental Decision-Making in the Attitudes of South Korea towards Japan’s Nuclear Contaminated Water
Authors: Wu Yingning
Published: June 2024

In August 2023, Japan began to discharge a pile of nuclear contaminated water into the sea, which is very harmful to the environment and ecology as well as human health. South Korea, as one of Japan’s closest neighbours and also the most affected by nuclear-contaminated water, the public broke out in large-scale protests and marches in many places, and was strongly condemned by the opposition party. However, the Korean government also ignored domestic public opinion and the demands of the opposition parties this time and insisted on supporting the Japanese government’s behaviour. This paper analyses and compares the conflict between the Korean government and the public, Korean parties, and the international situation through this crisis. The study found that with the polarisation of the Korean political scene and the tension of the international situation, the two-party conflict at home, the international conflict between the two poles against the confrontation led by China, Russia and the United States, the two pairs of major contradictions are gradually severe, in which the interests of the involvement of the authorities and the regime of strife to the extent that the South Korean government authorities to ignore public opinion brought about by the negative impacts of the public opinion, so it chose to focus on stabilizing the situation at home and abroad to stabilize and consolidate the power. Understanding these factors is essential in comprehending the complexities and contradictions between public opinion and governmental decision-making.
Interaction between Excellent Traditional Chinese Culture and A Community of Shared Future for Mankind
Authors: Long Meiying
Published: June 2024

This study was designed to investigate the relationship between excellent traditional Chinese culture and a community of shared future for mankind from two sides. On the one hand, it analyzed the positive influence of a community of shared future for mankind on the culture through two dimensions (both theoretical and practical), the challenges facing the culture, as well as the feasible paths to promote the development of the culture. On the other hand, it discussed in three aspects that the community of a shared future for mankind borrowed the ideas from traditional Chinese culture, mainly concerning the relationship between human and nature, the views on righteousness and interests, along with safety and peace. The results elaborated thoroughly the interaction between the excellent traditional Chinese culture and a community of shared future for mankind. Therefore, contributions need to be made to the call of telling good Chinese stories in certain degree so as to improve our national soft power.
Differences Between Chinese and Western Educational Models Based on the High-Low Context Culture Theory
Authors: Gao Yifei
Published: June 2024

With the continuous development of globalization and the building of a community with a shared future for mankind, countries are increasingly engaged in cultural exchanges and mutual learning in many fields for common development. In this process, education has always been a focus. Young people are the future and hope of the country, and the education of youth attaches great important to the development of the country, so China has been learning from foreign education systems in recent years to explore domestic education reform. Chinese and Western education models have their own advantages and disadvantages, and students in different education models show different characteristics. However, to trace the reasons for the differences between Chinese and western education systems, we should go back to different national cultures. Based on Hall's theory of high-low context culture, this paper examines the differences in educational models between China and the West, discusses the influence of context culture on differences, and sheds light on how cultural factors shape educational practices.
Client assessment and selection model based on the analytic hierarchy process approach: Global Monitoring of Illegal Wildlife Trade project
Authors: Hong Yuan , Lou Yi
Published: June 2024

Illegal wildlife trade on a global scale poses a serious threat to ecosystems and the environment, as well as risk challenges in the areas of finance and insurance. This study proposes a data-driven project based on a comprehensive understanding of trends in illegal trade and effective measures to reduce its scale. Through in-depth analysis of historical data, implementation of a continuous monitoring and tracking system, and collection of relevant data for continuous assessment, we are able to more accurately identify illegal trade behavior. Using data analysis techniques, such as time series analysis and GIS analysis, we will create visualization reports to provide a scientific basis for relevant decision makers. This study also selected the most suitable partner to facilitate the successful implementation of the project through a tiered analysis process. Ultimately, we identified an authoritative, well-resourced target client with a deep interest in ecological conservation, providing a solution to the challenges of illegal trade in the financial and insurance sectors.
Efficient Edge Computing: A Survey of High-Throughput Concurrent Processing Strategies for Graph Data
Authors: Xiu Weirong , Johar Md Gapar Md , Alkawaz Mohammed Hazim , Bian Chen
Published: June 2024

This paper reviews the strategies for high-throughput concurrent processing of graph data in edge computing environments. As information technology rapidly advances, particularly in areas such as the Internet of Things (IoT), smart cities, and autonomous driving, the need for real-time and efficient data processing continues to grow. Edge computing is a distributed computing paradigm that can process data at or near its origin, thereby reducing network latency, improving application performance, and reducing the load on central data centers. The discussion includes the application of edge computing in graph data processing, highlighting parallel computing models such as the Bulk Synchronous Parallel (BSP) model and other parallel optimization techniques like data partitioning and task scheduling. The paper also addresses specific challenges of parallel processing in edge computing, such as resource constraints, data communication delays, and strategies for security and privacy protection. Despite the significant potential edge computing has demonstrated in processing graph data, numerous challenges remain. Future research directions involve the development of new resource optimization algorithms, low-latency communication protocols, and technologies to enhance data security, aiming to achieve more efficient and secure graph data processing. This paper provides clear directions and a foundation for the efficient implementation of graph data processing in edge computing environments, positioning edge computing to play an increasingly significant role in real-time data analysis and intelligent applications.