bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Deep Learning in Drone Image Detection
Authors: Cheng Xiang , Lu Boning , Qu Shaokang
Published: June 2024

As an important research direction in the field of computer vision, image detection is a technology that can localize and identify the image and can accurately discriminate the features of the task image, and its application to UAVs has been a hot topic in recent years. The field of algorithms of deep learning applied to image detection is progressing rapidly, however, there are still many advantages and disadvantages between various algorithms, and the application of UAV image detection focuses on different. Therefore, the research topic of this article is to compare the advantages and disadvantages of various algorithms of image detection and conduct a technical analysis of improved algorithms applied to drones. The research method of this paper is as follows: firstly, introducing the model of each algorithm, analyzing the principle, and then comparing the advantages and disadvantages of detection speed, detection accuracy, and finally choosing improved algorithms that are suitable for drone Image detection. the improved algorithms suitable for UAV image detection are selected. In terms of accuracy, Faster R-CNN and YOLO perform better compared to R-CNN and Fast R-CNN. In terms of speed, YOLO has a higher processing speed and is suitable for application scenarios that require high real-time performance. Faster R-CNN is suitable for scenarios that require high accuracy but relatively low-speed requirements. SSD performs outstandingly in handling multi-scale targets. Therefore, in the field of UAV image detection, choosing the appropriate deep learning model can balance the needs of accuracy and speed according to the application scenarios.
The Development Trend of Ubiquitous Learning in Age of New Media
Authors: Zeng Yan , Su Qianmin
Published: June 2024

The development of new media, which has changed people’s lives significantly in China, has promoted ubiquitous learning. The research attempts to explore the possibilities of developing ubiquitous learning steadily in the new media age and find out the developmental potentials and further hindrances, to realize the integration of ubiquitous learning and new media properly. Meanwhile, this study seeks to find an effective way to integrate fragmented learning resources in the new media environment and personalize people’s services. Based on the Modern Pragmatic Theory and Comprehensive Ability Practice and Integration Theory, the realistic interview, big data information collection, and analytical and comparative methods have been used to investigate 100 people and 30 domain experts to figure out the existing advantages, disadvantages, and the further developmental potentials and hindrances.
Use of Technology Tools and Student Engagement Among Physical Education Classes in A Technology College in China
Authors: Li Mingping
Published: June 2024

In physical education teaching, the application of science and technology has brought many changes and advantages, which is of great significance to improve the teaching quality and promote the all-round development of students. This study evaluated the relationship between PE teachers' use of technology in the classroom and students' participation in PE class at a polytechnic. It presents a correlation between the use of technology in physical education classes and student participation. Intervention variables such as demographic data and technology use of PE teachers are presented. It also shows student demographics and their participation in physical education classes. The research focuses on PE teachers' personal data variables such as gender, age, education level and years of experience, and students' personal data variables such as gender, age, grade and curriculum. In order to collect the required data, the researchers conducted a questionnaire survey on the participation of PE teachers and students. The results show that students support the use of educational technology in the physical education classroom, and the use of educational technology in the physical education classroom does not affect the level of classroom participation of physical education students. At the same time, teachers also see that their students are engaged in physical education. It is found that students' evaluation of the use of educational technology in physical education teaching is not limited by gender, age, grade and curriculum. Similarly, teachers' evaluation of students' physical education participation is not limited by gender, age, education level, and years of service as physical education teachers. On the basis of this, this study puts forward a review and evaluation of the existing physical education teaching strategies. Suggestions such as using digital tools to track students' performance in physical education classes in a timely manner, encouraging students to create digital profiles, and tracking students' workouts using mobile apps designed for sports can motivate students to actively participate.
Analysis of China's Economic and Trade Policy Changes and Future Trends of Japan under the Influence of Japanese Nuclear Sewage Incident—— The Marxist National Security Theory Based on Sinicization
Authors: Zhou Yuxin
Published: June 2024

On August 24, 2023, the Japanese government officially discharged the nuclear sewage stored in the Fukushima nuclear leakage accident into the sea to alleviate the overload situation of water storage pressure in relevant facilities. This approach directly brings great risks to the safety of the Marine environment and biological resources in the surrounding areas of Japan, and is more likely to seriously endanger the life safety and health of the people in the neighboring countries. Faced with this situation, China always adheres to the Chinese Marxist theory of national security and follows a holistic approach to national security. It adjusts its foreign policy based on the actual situation at home and abroad and takes targeted measures to adapt to the global situation. China firmly safeguards its national security and the interests of its people, providing new ideas and approaches to the international community and promoting a constructive approach to international relations.
Analysis of the Application of Digital Trade in International Business
Authors: Xu Qianqian
Published: June 2024

In today's world, information technology is becoming more and more widespread, and with it comes ever-deepening digital trade and internationalised commerce. As a brand new form of trade, digital trade is gradually changing the development pattern of international business. This paper argues that digital trade has an important impact on the development of international trade. But at the same time, the development of digital trade has also posed challenges to international trade. For example, trading entities will face intellectual property issues. Consumers have to worry about cyber security issues, etc. To solve these problems, countries should strengthen international cooperation, actively carry out exchanges in the field of digital trade, promote technology research and development, and promote the balanced development of digital trade. In addition, countries should invest more in technology research and development and personnel training to improve technology and enhance competitiveness. This paper argues that paying attention to digital trade and taking measures to ensure its development can promote the process of economic globalization.
Research on optimal pricing and replenishment strategy of vegetable commodities
Authors: Lv Yulei , Sun Xiaofeng , Liu Qinghao
Published: June 2024

The vegetables themselves have the characteristics of short fresh-keeping period, large price fluctuation and seasonal strength. Our country at present researches the industrial chain of vegetable commodities mainly from the production aspect to study the law of vegetable pricing for the production and income insurance that guarantee farmers' rights and interests or for the purchase buyer. And supermarket operators need to according to the historical sales data of each commodity, in the case of not knowing the specific single product and purchase price to make the replenishment and pricing decision of each vegetable category, so the research on the pricing and replenishment strategy of vegetable commodities has important practical significance. From the perspective of supermarket operators, based on ARIMA time series forecasting model and price elasticity model, this paper puts forward the optimal pricing strategy for vegetable commodities, and then establishes a single objective programming model to formulate replenishment strategy and optimize it with particle swarm optimization algorithm, so as to obtain the optimal replenishment strategy. The following conclusions are obtained: the optimal unit price is the price elasticity coefficient multiplied by the change of sales volume plus the unit price at the previous moment; The replenishment strategy should consider the influence of unit price on sales volume, and make multiple tradeoffs so as to maximize the profit of supermarket. It is of great significance for the operation and development of the enterprise to help the supermarket to maximize its profit and improve customers' satisfaction at the same time.
Study on the Relationship between Elderly Tourism Motivation and Active Aging: A Case Study of Elderly Population in First-tier Cities of China
Authors: Chen Yuan
Published: June 2024

This paper explores active aging by examining elderly tourism through the lenses of existential theory, the broaden-and-build theory, and the circular theory. It investigates the travel motivations of the elderly in tourism scenarios, integrating factors such as positive thinking, positive behavior, and a positive organizational environment into the research. A path model was constructed to analyze how active aging influences travel motivations in a tourism context, supported by empirical analysis using 337 valid samples. The study found that key dimensions of active aging influencing elderly travel motivations include positive behavior, positive thinking, and a positive organizational environment. The path model and research data show good compatibility and explanatory power regarding the impact of active aging on travel motivations. Positive thinking, positive behavior, and a positive organizational environment all positively affect the travel motivations of the elderly. In the path analysis, positive thinking as an independent variable does not directly influence travel motivations; instead, positive behavior and a positive organizational environment serve as important mediating variables.
Differentiation Strategy of Bilibili Platform
Authors: Zhang Shaoxuan
Published: June 2024

With the rapid development of the Internet, the competition among internet platforms is becoming increasingly fierce. Differentiation strategy, as an effective means of competition, has a significant impact on the development of internet platforms. This study takes Bilibili as an example and uses the SWOT analysis method to explore the impact of differentiation strategies on internet platforms and summarizes the role of differentiation strategies in improving user experience, increasing user stickiness, and diversifying profits through analysis of Bilibili's differentiation strategies. The research results show that differentiation strategies have brought significant competitive advantages to Bilibili. It includes maintaining the basic advantages of a large number of young people and anime users and expanding their user groups, improving user experience, increasing user stickiness, stabilizing profits, and growing steadily. In the future, it is wise for Bilibili to dilute the differentiation on the user base and explore more methods to increase user loyalty. At the same time, Bilibili must seize the opportunity of advertising growth and explore better advertising monetization models to achieve stable and steady profit growth.
The Application of Interesting Teaching Method in Music Classroom of Middle School
Authors: Zhang Yafei
Published: June 2024

Interesting teaching method is a new teaching method in the modern education situation. The interesting teaching method especially emphasizes from many aspects and angles, in order to achieve better classroom teaching effect. There are three chapters in this paper. The first chapter is about the concept of interesting teaching; The second chapter is about the problems and reasons of the implementation of interesting teaching methods in middle school music classroom; The third chapter is the specific application of interesting teaching methods in middle school music classroom. Through the study of interesting teaching methods, teachers can use interesting teaching methods in the classroom, so as to cultivate students' interest in music learning and improve their enthusiasm and initiative in music learning. This paper mainly studies the application of interesting teaching methods in middle school music classroom.
A Deep Learning-Based Diabetic Retinopathy Classification and Diagnosis System
Authors: Li Shaojie , Guo Ying
Published: June 2024

Diabetic Retinopathy (DR) was a chronic complication caused by diabetes. If not diagnosed and treated in time, it can severely affect vision and even lead to blindness. Due to the diversity and complexity of lesion areas, relying solely on manual detection make it difficult to establish quantitative judgment standards and introduces significant uncertainty. Therefore, developing an efficient automated diagnostic system was crucial. Thesis proposed a diabetic retinopathy classification and diagnosis system based on the PyQt5 platform. The system was trained using the APTOS2019 dataset and emploied a method combining Residual Networks (ResNet) with Focal Loss. This approach enabled the system to autonomously extract features from lesion areas and accurately classify the severity of the lesions. This not only helped to conserve medical resources and improve diagnostic efficiency but also provided reliable decision support for clinicians, thereby improving patient treatment outcomes.
How Much Should Nikolas Jokic Get Paid?
Authors: Xu Zhaocheng
Published: June 2024

This paper talks about NBA player’s salary taking into consideration of multiple factors such as points per game (PPG), rebounds per game (RPG), assists per game (APG), steals per game (SPG), blocks per game (BPG), turnovers per game (TPG), box plus-minus (BPM), minutes per game (MPG), players’ age, games played (season), and their positions on the court. Along with restrictions of salary cap, this paper finds out players are underpaid; The study result could be applied to players who are subject to the minimum salaries, as the salary prediction logic is the same as for players who are subject to the maximum salaries.
Study on the Impact of RCEP National Logistics Performance on Vietnam's Cross-Border E-Commerce Export Trade
Authors: Phan Thi Quynh Chau
Published: June 2024

In the era of global economic integration, the Regional Comprehensive Economic Partnership (RCEP) plays a pivotal role in shaping trade dynamics, particularly by enhancing Vietnam's cross-border e-commerce exports through improved logistics. This study meticulously reviews a vast array of both domestic and international literature and employs Stata 17.0 software to analyze panel data spanning from 2014 to 2022 across RCEP member countries. It focuses on six core logistics performance indicators: customs and logistics management, logistics infrastructure, timeliness of shipments, quality of logistics services, tracking and tracing capabilities, and ease of international shipments.The findings from this analysis reveal that these logistics performance indicators significantly influence Vietnam's e-commerce exports. Infrastructure quality and the ease of shipments have the most substantial impact, suggesting that robust logistics infrastructure and efficient shipment processes are crucial for enhancing trade efficiency. Despite the overall positive trends, the study notes significant variations in logistics development within the RCEP region. While countries like Singapore exhibit advanced logistics capabilities, ASEAN countries generally lag behind, indicating a disparate level of logistics progress across the region.The research highlights the potential for targeted logistics improvements to directly boost Vietnam's cross-border e-commerce exports. By advancing logistics performance, especially in areas lagging behind, there is an opportunity to not only enhance trade but also to level the playing field within the RCEP. This study underscores the critical importance of developing cohesive and efficient logistics systems to support the burgeoning e-commerce sector, thereby fostering economic growth and deeper regional integration within the RCEP framework.
Teachers’ Transformational Leadership on Academic Culture of College Students: Towards Enhancing Leadership Skill
Authors: Chen Qi
Published: June 2024

This study aims to explore the impact of teacher transformational leadership on academic culture and career planning of university students, with the ultimate goal of improving students' leadership skills. The students participating in the survey are coming from sophomore level only from the five universities in Jiangxi Province of China. From the total size of 4,436 sophomore students in the five universities, Qualtrics identified 354 to be the total sample size of the actual research participants. based on the research problems and parameters of the study, there are some findings. Teacher transformational leadership profoundly influences students' career planning, facilitating clarity and direction, resource management, resilience in overcoming challenges, development of academic skills and integrity, fostering interdisciplinary abilities and self-discipline, offering guidance and mentorship, promoting academic exchange, and facilitating adaptation to diverse academic environments.Based on the conclusions, the following are recommended: .Institutions should prioritize the implementation of culturally responsive practices. Building on the effectiveness of transformational leadership dimensions highlighted in the research, institutions should invest in leadership development programs for educators. Institutions should ensure that leadership development initiatives are accessible and inclusive to individuals from diverse demographic backgrounds.
Customer Churn Prediction in Telecom Based on Machine Learning
Authors: Wu Shengchen
Published: June 2024

Customer churn, a critical metric in the telecommunications industry, reflects the propensity of customers to discontinue service usage, thereby affecting the revenue and growth of a company. Customer churn is greatly affected by individuals and products, and there is no obvious rule, which greatly increases the difficulty of customer loss prediction. With the development of machine learning, the prediction in telecom churn using machine learning has attracted wide attention from researchers. However, there are great differences between different algorithms, which increases the difficulty of application. Therefore, this paper studies the issue of customer churn prediction from the aspect of algorithm. This paper introduces the common data sets and evaluation indexes of customer churn prediction, and then introduces logistic regression, decision tree, K-nearest neighbor, random forest, Gaussian naive Bayes, XGBoost, gradient enhancement and neural network algorithms. Then, through the experimental analysis, the differences between these models are compared. Finally, the paper summarizes the full text and discusses the future research hotspots.
Integrating Natural and Social Indicators for Enhanced Insurance Underwriting Strategies
Authors: Shen Pengcheng
Published: June 2024

Facing extreme weather's growing impact, this study introduces a novel decision-making framework for the insurance sector. We use the Entropy Technique for Order of Preference by Similarity to the Ideal Solution (EW-TOPSIS) Model and Logistic Regression to assess underwriting risks and probabilities, underpinned by a Multi-Objective Planning Model that aims to optimize revenue and minimize churn. Case studies in Kumamoto Prefecture, Japan, and Texas, USA—areas affected by earthquakes and hurricanes—demonstrate the model's application. In 2022, it advised against underwriting in Kumamoto with profits of $1.325 billion and recommended a cautious strategy in Texas, yielding $3.544 billion. These results highlight the framework's utility in enhancing insurance strategies in extreme weather-prone areas for sustainability and profit.
Performance of executive military experience in company ESG
Authors: Zhou Tian , Jiang Keyi , Li Xiaowei
Published: June 2024

The personal experiences of managers have become an important issue in corporate governance and development in the field of management. Evaluating a company's performance from the aspects of environmental, social, and governance (ESG) has been a popular research topic in recent years. This article empirically examines the impact of managers' military backgrounds on a company's ESG performance based on samples of listed companies from 2006 to 2022. The study found that: (1) Managers with military backgrounds have a positive impact on a company's ESG performance; (2) In companies with high power concentration, the promoting effect of military executives on the company is more significant; (3) In companies with poor operating conditions, the promoting effect of military executives on the company is more pronounced. This study enriches the related research on the relationship between managers' military backgrounds and a company's ESG performance. Expanding the heterogeneity analysis focusing on power concentration and operating conditions, and provides reference for future research in this area.
New Exploration of Industrial Structure Upgrading under the Wave of Digital Finance
Authors: Li Wei , Tian Fang
Published: June 2024

Based on the panel data of cities in the Yangtze River Delta region from 2011 to 2021, Through the two-way fixed effect model, this paper explores the mechanisms, effects and heterogeneity of digital finance development in promoting the upgrading of industrial structure. The results show that digital finance can significantly promote the upgrading of industrial structure, among which innovation and entrepreneurship is an important transmission path, and technology and finance play a key role in the process. Heterogeneity analysis shows that in non-central cities and cities with high consumption level, the promotion effect of digital finance development on industrial structure upgrading is more obvious. Therefore, it is necessary to further strengthen the construction of digital financial infrastructure, build an innovation-driven entrepreneurial environment, promote, and optimize the consumption environment according to city conditions.
The Impact of Digital Finance Development on Urban Carbon Emissions under the Dual Carbon Goal
Authors: Li Jiafeng
Published: June 2024

Digital finance is an important tool for promoting the transition to a "low-carbon economy" in cities, and the application of digital finance can reduce carbon emissions in cities and provide a basis for the early realization of the "dual-carbon" goal. Under the background of "30-60" carbon peak and carbon neutral, the construction of international carbon trading system and system is accelerating. This project is based on the implementation of China's "30-60" dual-carbon strategy, focusing on some of the current problems faced by China, considering the impact of digital finance on urban carbon emissions, and focusing on the three aspects of technological innovation, industrial structure, and innovation effects, to conduct some attempts to explore the roles and opportunities of China's digital finance in support of carbon peaking and carbon neutrality. The role and opportunities of China's digital finance to support carbon peak and carbon neutralization are discussed.
Comparison and Analysis of Chinese and English Handwriting Recognition Algorithms in Deep Learning
Authors: Qu Xinyue
Published: June 2024

Handwriting recognition is an important topic of current research on image recognition. This technology provides convenience for production and life, as well as guarantees for us in some aspects of safety. The author hopes to help people get a preliminary understanding of English handwriting recognition by summarizing and comparing two commonly used models in deep learning. This paper focuses on two models of widely used English handwriting recognition, which are the simple Recurrent Neural Network (RNN) model and the Long Short-Term Memory (LSTM) model. Firstly, the principles of the two models are introduced, and then gradient problems, fitting problems, training difficulty, and accuracy, as well as the reasons for these problems are all discussed and compared within the two models. Nowadays, the accuracy rate of English handwriting recognition is relatively high using deep learning methods and models. With the development of deep learning models, if more accurate string segmentation can be achieved, the accuracy rate of handwriting recognition can also be further improved.
Research on deep-sea submarine position prediction and search and rescue strategy based on multi-intelligence optimization and machine learning
Authors: Cao Hanfei
Published: June 2024

In this paper, the position prediction and search and rescue strategy of deep-sea submarine are effectively studied by using multi-intelligence optimization and machine learning. First, the possible position of the submarine is predicted by building an accurate position prediction model, combining historical data and real-time ocean dynamic data. Secondly, NSGA-II, a multi-objective optimization algorithm, optimizes the combination of search and rescue equipment carried by search and rescue vessels, determines the best initial deployment point, designs an efficient search mode, and uses Bayesian probability algorithm to evaluate the rescue probability. Through these studies, this paper provides strong technical support for the safe operation and fault rescue of deep-sea submarines.
The Digital Economy and Carbon Intensity: Empirical Evidence from Chinese Cities
Authors: Liu Lisha
Published: June 2024

This study examines how the development of the digital economy affects urban carbon intensity. Using a sample of 281 prefecture-level cities in China from 2011 to 2021, we employ principal component analysis and entropy weighting analysis to assess the comprehensive level of digital economic development. Various models, such as benchmark regression, variable substitution, interactive fixed effects, robust standard errors with double clustering, and instrumental variables, are employed to empirically analyze the impact and mechanisms of digital economic development on carbon intensity in multiple Chinese cities. The results indicate that the development of the digital economy can reduce urban carbon intensity. Based on these findings, this paper puts forward policy recommendations to promote digital economic development and reduce carbon intensity, including increasing efforts in digital economic development and related infrastructure construction, narrowing the regional disparities in digital economic development, improving regulations and systems related to low-carbon development in the digital economy, and adapting to international economic and political development trends, in order to contribute to the achievement of the "dual carbon" goals.
Design of Athlete Plantar Pressure Collection System based on Flexible Thin Film Pressure Sensor
Authors: Zhao Wei , Luo Lei , Hu Zhubing , Tian Hui
Published: June 2024

According to the needs of athletes and coaches, a plantar pressure collection system for athletes based on flexible thin film pressure sensors is designed. The system integrates flexible thin film pressure sensors, STM32 microcontrollers, and HC-06 Bluetooth modules, and develops a supporting mobile app. Through system production and experimental verification, the system can real-time collect plantar pressure data of athletes and display it through computer serial port assistants and mobile apps. This system provides a convenient tool for analyzing plantar pressure of athletes, which helps improve the scientificity and specificity of athlete training.
Can enterprise digitization facilitate green technology innovation?
Authors: Zhang Qiaoya , Li Qing , Yao Jingwen , Yi Shurui
Published: June 2024

Digital economy realizes the win-win situation of energy efficiency and digital economy development by promoting green technology innovation. Digital economy plays an important role in enterprise green innovation and energy efficiency improvement, providing theoretical and practical guidance for China's green sustainable development and dual-carbon goals. This paper explores the impact of digital economy on enterprise green innovation and energy efficiency improvement. The study takes highly polluting listed enterprises in China as the target, and analyzes the implementation effect of the national-level big data comprehensive pilot zone policy by means of panel data and double-difference model from 2010 to 2022. In addition, based on the high-tech industry data of 30 provinces and cities in China from 2010 to 2022, a threshold model is constructed and analyzed, showing that the digital economy has a significant positive impact on the green innovation efficiency of enterprises, but there is a nonlinear "U" threshold effect. Active government and effective market have different regulating effects on this process at different stages of development, and differentiated countermeasures need to be taken in light of regional characteristics. In terms of smart city construction, the digital economy has a significant role in promoting green innovation. In terms of energy efficiency improvement, based on the data of 284 prefecture-level cities, the study found that the digital economy, especially industrial digitization, has a significant role in promoting energy efficiency, with an "N"-shaped characteristic.
Beyond the Campus: The Role of Social Media in Expanding Educational Horizons and Management Practices
Authors: Ye Hedi , Li Ruyang
Published: June 2024

This paper examines the transformative role of social media in education, which extends beyond traditional classroom boundaries to enhance teaching, learning, and management practices in educational settings. With the digital era reshaping educational processes, social media platforms have emerged as critical tools in redefining learning environments and expanding access to educational resources globally. These platforms facilitate multifaceted communication and interaction among students and educators and enable the creation and management of virtual academic communities. This study highlights how social media transcends geographical constraints, fostering connectivity and community, which are essential elements in modern education. It explores the implications of social media in broadening educational horizons and innovating management practices within educational institutions.
Reducing Poaching in Elephant Populations on Random Forest Algorithm
Authors: Jin Ye , Liu Yuxuan , Wang Ji’an
Published: June 2024

Although most countries have established bans on the ivory trade, the illegal ivory trade continues to be a serious threat to the lives of populations due to, among other things, the existence of legal stockpiles and the desire for artifacts. To address this challenge, we have initiated a five-year data-focused program, the Ecological Tracking and Intelligent Prevention System (ETIPS). By utilizing random forest algorithms to predict areas where poachers are likely to be active, the project aims to open up new avenues for elephant conservation. This paper describes in detail the conceptualization and implementation plan of the project, and provides an in-depth analysis of the effectiveness of the project after implementation based on existing data. By providing theoretical support for the model's tracking effects and conservation outcomes, we expect to be able to provide more effective strategies and solutions for protecting these precious lives.
Analysis of the Development Path of Golf Events in China
Authors: Yang Yujun
Published: June 2024

This paper examines the evolution and challenges of golf events in China through literature investigation and case analysis. Despite a relatively late start, China's golf industry has seen significant growth, marked by an increasing golfing population and the establishment of major tournaments. However, the industry faces challenges due to economic disparities, limited promotional efforts, and the absence of marquee players and events. To address these issues, the study proposes strategic solutions aimed at aligning China's golf events with international standards and elevating the sport's domestic profile. These strategies include grassroots promotion, talent development, and media engagement. The paper underscores the need for a multi-dimensional approach to overcome barriers such as elitist perceptions and promotional inadequacies. It advocates for democratizing golf's image, enhancing youth and amateur platforms, and leveraging media to reshape public opinion. The goal is to position China's golf events on a global platform, contributing to the sport's international diversity and competitive spirit. The paper concludes that with continued efforts in policy promotion and industry integration, China can make significant strides in elevating its golf events to global prominence.
CiteSpace-based Logistics Distribution Center Site Selection Research
Authors: Liu Li , Liu Shiyi
Published: June 2024

: China's logistics industry is developing at a high speed, but the distribution efficiency can't match with it, to reduce the waste of resources and costs on the way of distribution, it is crucial to study and improve the distribution center siting issue. Taking the 494 core journals on the study of logistics distribution center siting in Knowledge Network as the basic data, CiteSpace is used to visualize and analyze the related literature in this research field. Through the keyword clustering analysis, this field can be divided into four directions: the main body of research, the influence factors of site selection, the purpose of site selection, and site selection methods, and the comprehensive analysis shows that the early focus of China's research is on the site selection methods, such as genetic algorithm and center of gravity method, and the future research direction is the joint optimization of the site selection-path and the two-layer planning.
Zijing Storage Financial Fraud Case Analysis - Audit Risk Prevention for Listed Companies
Authors: Song Yu , Yang Liu
Published: June 2024

Zijing Storage, as a company listed on the Science and Technology Innovation Board, originally enjoyed a high reputation in the industry for its research and development, design, and development of core technologies for Blu-ray data storage systems, as well as the production, sales, and services of optical storage media, equipment, and solutions based on this technology. However, the company’s recent financial fraud case has attracted widespread attention. This case analysis aims to deeply analyze the process, causes, and impact of Zijing Storage’s financial risk fraud, and put forward corresponding suggestions.
A Case Analysis of Market Segmentation and Product Differentiation
Authors: Han Yeyang
Published: June 2024

This paper explores the symbiotic relationship between market segmentation and product differentiation within the realm of marketing strategies. Market segmentation involves the subdivision of a market into distinct sub-markets, delineated by variations in consumer needs, behaviors, and preferences. Conversely, product differentiation entails the creation of unique products or services tailored to meet the specific demands of consumers within these segmented markets. By examining the interplay between these concepts, this paper elucidates how market segmentation serves as a foundational framework for achieving product differentiation. Through a comprehensive analysis of theoretical frameworks and empirical studies, the paper underscores the strategic significance of aligning market segmentation with product differentiation to enhance consumer satisfaction and competitive advantage. Ultimately, this study provides valuable insights into leveraging market segmentation as a strategic tool for effective product differentiation, thereby fostering sustainable growth and success for firms in dynamic market environments. Practical implications and managerial recommendations will be offered to assist marketers in implementing effective market segmentation strategies to drive successful product differentiation initiatives and gain a competitive edge in the marketplace.
Variation of the Content and Antioxidant Activity of Active Substances in the Kombucha Fermentation of Mulberry Leaves
Authors: Rao Yunzhen
Published: June 2024

With the increasing emphasis on healthy living, Kombucha beverages are becoming more and more popular. Recently, fermented Kombucha with different materials and investigated the efficacy have become hot topics. In this paper, mulberry leaves were used as substrates for Kombucha fermentation. The active substances contents and antioxidant activities of the fermented mulberry leaf infusion were significantly enhanced. After being fermented for 10 days, the total phenolic substances and total flavonoids in the Kombucha fermented mulberry leaf infusion were 7.38 and 12.24 times higher than those in the unfermented mulberry leaf infusion, respectively. While the mulberry leaf infusion that fermented for 6 days had the highest antioxidant capacity. The Ferric (Fe3+) reducing power, ABTS+ radical scavenging capacity, and hydroxyl radical (·OH) scavenging capacity were enhanced by 90.3%, 21.82%, and 46.2%, respectively. In conclusion, after being fermented by Kombucha, the antioxidant properties of mulberry leaf infusion were significantly improved, which will contribute to expanding the subsequent development and application of mulberry leaf.
Research on China-Japan Bilateral Relations——A Stable and Fragile Bilateral Relationship
Authors: Huang Wentao
Published: June 2024

After the end of World War II, since the surrender of the Japanese militarist Empire, Japan had political reform with the help of the United States. It was the beginning of Japan's diplomatic normalization after the end of militaristic diplomacy. Since the new century, from the “Follow America and give priority to economic development” to the “New capitalism and realism diplomacy in the new era” foreign policy with domestic and foreign coordination, Japan's diplomatic strategy towards China has handled resoundingly on the delicate relationship of competition between China and the United States. Japan has a lot of deep cooperation with the United States, Japan maintains a relatively harmonious relationship at the same time. This paper focuses on the important strategic changes in Japanese diplomacy from the beginning of the 21st century to the present and the leading ideas and lines of Japanese diplomacy in different periods. According to Japan's various strategic changes, domestic and foreign factors have proved that Sino-Japanese relations are both stable and fragile.
The Impact of the Double Reduction Policy on China's K-12 Education Industry: An Empirical Analysis Based on the Difference-in-Differences Method
Authors: Zhang Jingrong
Published: June 2024

The Double Reduction Policy introduced by the Chinese government in 2021 imposed unprecedented restrictive measures on privately-run extracurricular training institutions providing compulsory education subjects. Numerous education enterprises involved in K-12 business were profoundly affected. To explore the impact of the policy on education enterprises and the industry, this paper employs the Difference-in-Differences method for analysis. The findings reveal that the "Dual Reduction" policy led to an 8.165% decline in the profit margin of education enterprises, accompanied by a significant reduction in the number of employees, with an assessed decrease of 31.57%. Further analysis of the impact mechanism indicates that the policy's effect on the number of employees lags behind its impact on profit margin. Based on these results, the study suggests the optimization of the content and implementation approach of education policies to minimize negative impacts and to incorporate high-quality education resources provided by education enterprises through more comprehensive measures.
Lung Cancer Prediction based on KNN, Logistic Regression, and Random Forest Algorithm
Authors: Liao Yunzhe
Published: June 2024

Cancer has become the biggest killer of human health in the 21st century, among them, lung cancer is the "number one killer" of cancer ", and has become the disease with the highest incidence rate of cancer. However, many factors cause lung cancer. Therefore, to effectively control cancer and reduce the incidence rate of lung cancer, it is very important to predict the incidence of lung cancer caused by different factors. By calling the dataset in Kaggle, we can visualize and preprocess data from 25 factors that may cause lung cancer incidence, and use the machine of K-nearness model, random forest model and logical regression model Learn the model for prediction and obtain the model with the highest accuracy. It was found that the random forest algorithm performed the best among the three models used, so the random forest algorithm was used for model tuning, adjusting parameters to improve accuracy. Finally, the model accuracy was increased from 0.96 to 0.98, achieving the expected effect. This study is beneficial for a clearer and more accurate understanding of the impact of different factors on the incidence of lung cancer, as well as for more efficient prediction of lung cancer in the medical field.
The Response Characteristics of Pore Volume and Specific Surface Area of Different Phases of Carbon Dioxide Injection into Anthracite Coal Pores
Authors: Yi Jiale
Published: June 2024

After the coal sample reacts with CO2, the porosity and pore volume change. Compared with dry raw coal sample, the porosity of coal after CO2 adsorption is increased. With the increase of CO2 injection pressure, the porosity of coal will gradually increase, especially when CO2 enters the supercritical phase. In terms of pore capacity of coal samples, CO2 adsorption time, CO2 adsorption pressure and CO2-H2O treatment do not show obvious regularity in the changes of pore capacity of coal samples, but in general, the increase of CO2 adsorption pressure and CO2-H2O treatment have a positive effect on the increase of pore capacity of coal samples, especially ScCO2-H2O. The mesoporous pore capacity increased by 137.1%. In terms of macro pore volume of coal sample, the change of macro pore volume after CO2 adsorption is more regular. Extending CO2 adsorption time, increasing CO2 adsorption pressure and CO2-H2O treatment all have positive effects on the increase of macro pore volume of coal sample. Under 8MPaScCO2-H2O, macro pore volume reaches a maximum of 0.016462ml/g. The increase also reached 130.4 percent. On the mesoporous specific surface area of coal sample, increasing CO2 adsorption pressure, prolongating CO2 adsorption time and CO2-H2O treatment can increase the mesoporous specific surface area of the sample. The mesoporous specific surface area of the sample at 8 MPa ScCO2-H2O is 0.631 m2/g, which reaches the maximum in this experiment, with an increase of 334.27%.
Coach Leadership Behavior and Student Athlete Performance: Towards A University Sports Leadership Program
Authors: Li Jie , Villanueva Lizelle Eugenio
Published: June 2024

This study investigated the correlation between coach leadership behavior and their performance in Huaihua University, Hunan Province, China with the purpose of proposing a University Sports Leadership Program. The participants in this study are college athlete athletes. Stratified sampling technique was used in the selection of participants. There was a total of 240 college athletes representing the various sports team in the university. The researcher used adapted questionnaires that assessed the leadership behavior of coaches and athlete performance respectively, using some constructs from the Leadership Scale for Sport (LSS): training and instruction, democratic decision making, autocratic decision making, social support and positive feedback and A Cross-Sport Athletic Performance Rating Scale measuring Self-motivation, Self-confidence, Emotional Stability, Athletic Ability, and Character. The overall result suggests a strong relationship, as coach leadership behavior is significantly and highly correlated with student athletes' level of performance; and The Sports Leadership Program emerged as a result of an in-depth study that revealed a strong correlation between athlete performance and coach leadership behavior. The program aims to maximize team relationships and athlete development by addressing gaps in coaching techniques that have been discovered.
Benchmarks of Instructional Leadership of Teachers in Transitioning to the New Normal of Selected Universities in China
Authors: Yu Yesheng , Cayaban Neliza
Published: June 2024

Within the dynamic landscape of post-COVID education, this study delves into instructional leadership in the selected universities in Zhejiang Province, China, with a focus on the unique experiences and best practices of college English teachers. The qualitative methodology employed involves in-depth interviews with selected college English teachers. Through qualitative analysis, the study aims to explore the unique experiences of college teachers in transitioning to the new normal in terms of curriculum, instruction, and assessment. The lessons learned could establish the benchmarks of instructional leadership of college teachers in transitioning to the new normal.
Research on the Incentive Mechanism of Teachers in Private Schools
Authors: Cao Xin
Published: June 2024

In the face of the vigorous development of today's society, with the continuous progress of economy and society, the education policy is constantly improved, and the people's attention to education is constantly increasing, and the demand for high-quality education is gradually rising. Under such a social background, private education has entered a period of rapid development. The number of private schools and the number of students has been on the rise, and the education of private schools has become an important part of the development of education in our country. However, due to the relatively short development time of private schools, the relatively weak teachers in some schools, and the imperfect internal incentive mechanism of schools, there are problems in the incentive mechanism of private teachers in the current stage, such as poor evaluation of professional titles, disharmony between material incentives and spiritual incentives, and low participation of teachers, which is not conducive to the improvement of teachers' enthusiasm and work level. Therefore, improving the incentive mechanism of teachers in private schools is conducive to stimulating the enthusiasm of teachers and improving the quality of teachers' work, and plays a positive role in enhancing the overall strength of private schools. This paper takes S private school as the research object, based on the two-factor theory and equity theory, mainly through some problems in the current teacher incentive mechanism of S private school, and puts forward improvement suggestions in view of existing problems, to provide some references for other private schools.