bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Ice Load Optimization based on Monte Carlo Algorithm and Finite Element Analysis
Authors: Liu Chang , Wang Mengfei , Zhou Yixiang
Published: July 2024

This paper mainly focuses on the ice bearing capacity and ice vehicle layout optimization problems for in-depth research. By modeling the ice thickness and analyzing the ice stresses, the load-bearing capacity and safety margins of the ice were assessed. Firstly, the research considers the freezing time, environmental conditions, load factor, strength, temperature and salt influence coefficient, and obtains the exact value of the bearing capacity of the ice under different conditions and the safe distance of the ice truck. Secondly, Monte Carlo algorithm and finite element analysis are used to simulate the random distribution of the crowd and the influence of the ice truck on the ice surface stress, which provides an important reference for the safety management and planning of the ice surface activities. The research results show that under certain conditions, the ice surface can withstand a certain number of people, and the layout of the ice vehicle needs to consider the safe distance from the ice hole to ensure that the ice surface does not break and does not exceed the maximum allowable stress. These research results are of great significance for ensuring the safety of ice activities and improving the efficiency of ice utilization.
The application and therapeutic potential of CRISPR/Cas9 technology in diseases
Authors: Yao Tongzheng
Published: July 2024

The application of CRISPR technology is one of the focuses of current research orientation. At present, CRISPR technology has reached a new level, but there are still some challenges in the clinical application of human diseases. This paper introduces the background and principle of CRISPR technology and cites two specific diseases for case analysis. It discusses the feasibility, limitations and possible solutions of CRISPR technology in the clinical treatment of actual diseases. Studies have found that CRISPR technology has the ability to cut HIV virus genes that have been integrated into the host genome, which is expected to eliminate the potential viral reservoir to achieve the goal of complete cure. In the treatment of DMD, CRISPR technology can restore the expression of dystrophin, so that the patient can be completely cured. However, safety evaluation is still needed before practical clinical application. Finding alternative vector materials, editing the components of CRISPR system, and maintaining long-term efficacy have become the main problems to be solved in practical applications.
Research on the interaction of teachers and children in language activities
Authors: Li Jiaping
Published: July 2024

Teacher-child speech interaction has an important influence on their growth and development, especially in language activities. Its quality directly affects young children's language, cognitive and social development. Big class children are in the critical period of language, so it is of great practical significance to observe the speech interaction in the language activities of big class. This study mainly adopts the observation method, randomly select a city kindergarten large field observation, large language activities divided into literature learning activities, conversation, telling activities, early reading activities, collect a total of 12 activities, to improve Flanders interactive analysis system as a tool, get 6871 young speech samples, from the interactive subject, content, way and situation of four dimensions, and discuss.
Effects of changes in lamprey sex ratios on ecosystem stability: a Lotka-Volterra model-based study
Authors: Yan Hanlu , Zhou Shanghao
Published: July 2024

The aim of this study was to investigate the effects of external environmental factors on the sex ratio of lampreys and the possible changes in population size and structure as a result of such effects. We simulated the population dynamics of male and female lampreys separately by modeling the population dynamics of lampreys based on the Lotka-Volterra model, and considered the effects of human predation on the lamprey population. By adjusting model parameters, such as predation intensity, initial sex ratio and rate of change in sex ratio dynamics, we simulated changes in the sex ratio of lampreys under different conditions and observed the effects of such changes on the ecosystem. The results suggest that changes in the sex ratio of lampreys may lead to changes in the abundance and distribution of other species, which in turn may affect the stability of the ecosystem. In addition, we analyzed the model results and presented graphs showing changes in predator and prey population dynamics and changes in lamprey sex ratios, further illustrating the effects of changes in sex ratios on ecosystem dynamics, population size and stability.
An Analysis of Chanel’s Strategic Brand Management
Authors: Xia Xinyi
Published: July 2024

This study is analyzing the strategic brand management of Chanel as a luxury and fashion brand. As one of the world's leading luxury brands, Chanel has successfully established a strong brand image in the global market by virtue of its unique design concept and excellent product quality. Chanel's successful brand management is revealed through an in-depth discussion of its brand positioning, target market strategy, product line and innovation, communication and promotion, and channel management. The study finds that Chanel stands out in the highly competitive luxury market by virtue of its clear brand positioning, precise target market strategy and continuous product innovation. At the same time, Chanel focuses on diversified communication and promotion and efficient channel management, further consolidating its market position. In addition, Chanel also actively undertakes social responsibility and promotes sustainable development, setting an example for the entire fashion industry. This study not only provides a comprehensive perspective for understanding Chanel's strategic brand management, but also provides useful references and insights for other luxury or fashion brands when formulating and implementing brand strategies.
A Study on the Evaluation of AI's Impact on University Students' Learning Based on Data Analysis and Machine Learning
Authors: Chang Huihao , Liu Wenqian , Chu Lidong , Li Xiaoyue
Published: July 2024

With the rapid development of artificial intelligence (AI) technology, its application in the field of education has significantly affected the learning style of college students. This article explores the impact of artificial intelligence on college students' learning. It uses optimized evaluation algorithms and survey analysis to demonstrate AI's positive effects. The study begins with cleaning and correcting survey data, identifying textual features, and encoding variable types. After standardizing the data using the Min-max method, validity tests and descriptive statistical analysis were conducted. The results indicate high reliability and correlation in students' attitudes towards AI tools and their learning styles. An evaluation system was constructed based on these findings, selecting 11 key indicators through the Fisher algorithm model and assessing them with the LightGBM quantitative model. The model shows that AI influences college students' learning primarily through factors like learning purposes, safety of tool use, motivation, usage time, and satisfaction. This evaluation system not only confirms AI's positive impact but also offers optimization goals and methods to enhance students' learning abilities in the AI era.
Preface: 4th International Conference on Biomedical Engineering, Healthcare and Disease Prevention (BEHDP 2024)
Authors: Obadiah Jean , Wang Heng
Published: July 2024

The 2024 4th International Conference on Biomedical Engineering, Health Care and Disease Prevention (BEHDP 2024) was successfully held in Chicago, USA during May 18-19, 2024. This conference is an annual research conference dedicated to biomedical engineering, health care, smart medicine, disease prevention, and biological pharmacy that will bring together scientists, technologists, clinicians, and professionals. Hospitals, health systems and pharmaceutical companies around the world are all under the same roof.
BEHDP 2024 was supported by numerous universities and research institutes around the world. The focus of this conference is to establish an effective platform for institutions and industries to share ideas and to present the works of scientists, engineers, educators, and students from all over the world.
BEHDP 2024 brought together more than 100 researchers in related fields and the conference was divided into three sessions, including oral presentations, keynote speeches, and Q & A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. And in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches. Their insightful speeches had triggered heated discussion in the sessions of the conference.
The BEHDP 2024 proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. All the papers have been through rigorous review and process to meet the requirements of international publication standard.
The Conference Committee of BEHDP 2024
Chicago, USA
Prediction of Shared Bicycle Entry and Exit Flow based on LSTM Model
Authors: Zhang Aobo
Published: July 2024

As the use of shared bicycles becomes increasingly prevalent in urban areas, the issue of short-distance travel for residents has been significantly alleviated. Moreover, within the 30-minute radius of daily life, bicycles serve as a convenient solution for short-distance travel. However, the deployment strategy employed by shared bike operators lacks scientific rationality. The placement of bicycles in inappropriate locations compromises their convenience. This research aims to establish a predictive model for forecasting the entry and exit flow of shared bicycles in each region of the city. The shared bicycle data for January 2024 were collected from the Divvy online platform in Chicago. Python was utilized to extract and process the trip data, and time features were handled by minute-wise aggregation of entry and exit flows. By selecting data from the past 30 minutes as input features, normalizing the data, and constructing time series data suitable for LSTM input, the predictive model was developed. Following model training, traffic prediction was conducted using the test set, and the model's performance was evaluated. Ultimately, the effectiveness of the model was intuitively understood by plotting comparative graphs between actual and predicted values. This research aims to provide real-time decision support for urban traffic management and shared bike operations by offering insights into the predictive trends.
Evaluation of Performance of Thermal Fibers and Heat Transfer Research based on Entropy Weight Method and Differential Equation
Authors: Zhou Congzhi , Tuo Daxing , Wei Shenyang
Published: July 2024

Based on the mathematical modeling method, this study constructed a comprehensive evaluation index system to objectively evaluate the performance of different warming fibers. First, we assigned weights to the indexes by the entropy weighting method, and then used the TOPSIS method to rank nine common warming fibers for comprehensive evaluation. Further, we established a heat conduction model of thermal fibers based on differential equations and thermodynamic knowledge and explored the effects of fiber length and diameter on thermal performance. Finally, we evaluated the warmth-keeping ability of cotton and feather threads from both axial and radial perspectives and found that feather thread fibers had better warmth-keeping performance through comprehensive data analysis. These methods provide useful references and suggestions for the evaluation of thermal fiber properties and material development.
The Impact of Recognition of Specialized and New Enterprises on Corporate Cash Holdings
Authors: Zhang Yuzhuang , Wang Sizhe
Published: July 2024

Specialized and new enterprises provide high-quality, differentiated products and services in specific fields, driving technological innovation and industry advancement. Cash holding levels are important in addressing emergencies and achieving steady operational growth. Using A-share listed companies from 2008 to 2022 as a sample, this paper employs the difference-in-differences method to empirically examine the impact and mechanism of recognizing specialized and new enterprises on cash holding levels. The research indicates that the recognition of specialized and new enterprises can significantly reduce corporate cash holding levels, a conclusion that holds true after a series of robustness tests. Mechanism analysis reveals that the recognition of specialized and new enterprises has a more pronounced effect on companies with shorter establishment years and smaller scales. Heterogeneity analysis finds that the recognition of specialized and new enterprises can significantly reduce the cash holding levels of non-state-owned enterprises. This study expands the literature on the recognition of specialized and new enterprises and corporate cash holding levels, providing suggestions for improving recognition standards and enhancing policy promotion and support efforts for specialized and new enterprises.
Development Analysis of Key Autonomous Perception Applied to Path Planning and Autonomous Obstacle Avoidance of Land Wheeled Mobile Robots
Authors: Cheng Ming
Published: July 2024

Path planning and autonomous obstacle avoidance are two key technologies for mobile robots, and the technical basis for achieving these functions is high-precision autonomous perception. The core purpose of this article is to deeply analyze and discuss the key autonomous perception technologies of land-wheeled mobile robots in path planning and autonomous obstacle avoidance. This article first reviews the technological development process in the field of mobile robots, emphasizes the importance of path planning and autonomous obstacle avoidance, and outlines the foundation of high-precision autonomous perception technology that is required to achieve these functions. Subsequently, this article will provide a comprehensive perspective by analyzing the latest developments, challenges, and future development trends of these key technologies in-depth chapter by chapter, aiming to provide valuable insights and references for researchers, engineers, and technology enthusiasts to jointly promote the further development of mobile robot technology. This article comprehensively explores the key autonomous perception technologies of land-wheeled mobile robots in path planning and autonomous obstacle avoidance, aiming to reveal the current progress, main challenges, and future development directions of these technologies. Through in-depth analysis, this article not only emphasizes the importance of these technologies in improving robot performance and application scope, but also provides direction for future research and technological innovation and looks forward to the broad prospects of mobile robot technology on the path of intelligent development.
Accurate spray paint design of reciprocating machine based on binocular stereo vision
Authors: Li Hao , Liu Shugang , Liu Shuang , Shen Yuxin , Yang Hanlin
Published: July 2024

There are many problems in the positioning and quality control of the traditional reciprocating paint spraying system, which seriously affect the quality and production efficiency of the paint spraying system. Because of the mechanical structure to determine the position, it is difficult to realize high-precision positioning environment illumination conditions will increase the position error of the positioning system. Therefore, we need to adopt new technologies to improve precision to solve these problems. Our team used the binocular camera and the computational science OpenCV depth recognition algorithm to realize accurate identification, built a painting model of the reciprocating machine, and designed a precise painting system based on binocular stereo vision.
A Company Analysis and Performance Evaluation of Pinduoduo
Authors: Chen Yufan
Published: July 2024

E-commerce have been integrated into everywhere of people’s life, and have changed the way people consumed. The development of e-commerce cannot be separated from the support of financial market and consumers. Therefore, studying the financial situation of e-commerce companies can help investors and consumers understand more about e-commerce and industries. This study will analyze the data by comparing the financial statements of Pinduoduo with those of Jingdong, eBay, and Alibaba in four aspects: liquidity, solvency, profitability and investment, and the data shows that Pinduoduo performs well in all four aspects. The results of the study show that pinduoduo has an excellent debt structure and strong solvency. On top of that, the numbers keep rising in terms of profitability. However, Pinduoduo still has room for improvement in the efficiency of capital utilization and logistics efficiency. Overall, the study concludes that pinduoduo will continue to grow in the future with a lot of potential.
The Impact of Couple Shareholding on Corporate ESG Rating
Authors: Liang Shuang , Wu Siyuan , Zhang Zhuoya
Published: July 2024

ESG rating is the key evaluation standard for the sustainable development of enterprises, and the governance model of couple shareholding is an material driving force for enterprises to increase ESG rating. Based on the perspective of corporate governance and business risk, this paper uses the sample interval of ESG rating of A-share listed family enterprises in China from 2010 to 2021 to research the relationship between husband and wife 's joint shareholding and ESG rating. The study found that the joint shareholding of husband and wife is positively related to the ESG      same time, compared with high capital-intensive enterprises, in low capital-intensive enterprises, the relationship between joint ownership of husband and wife and ESG rating is more significant. Further research finds that the capital accumulation rate can enhance the positive correlation between the ESG rating of the enterprise and the joint ownership of the husband and wife to a certain extent. Finally, couple's joint holdings can reduce the company 's operating risk, thereby enhancing the company 's ESG rating. The research in this paper has theoretical value and reference meanings for the corporate governance of family enterprises.
Research on clustering analysis of eye diagram point set of digital signal based on equivalent time sampling
Authors: Ni Jingkai
Published: July 2024

With the continuous development and improvement of communication technology, the research and application of high-frequency signals are becoming more and more important, especially in important fields such as electronic communication, aerospace and aviation. The analysis of high-frequency signals is the most basic and most important. High-frequency digital signals are mainly obtained by equivalent time sampling and sequential sampling. This paper first analyzes the basic principles of equivalent time sampling and real-time sampling, and compares the advantages and disadvantages of the two and the limitations of each sampling method through various indicators. After that, the eye diagram point set based on equivalent time sampling is clustered and analyzed. By comparing the contour coefficients, the sum of squared errors, and the time complexity of each clustering algorithm, the clustering method of the eye diagram point set is further optimized, and the most efficient and accurate clustering algorithm is selected. The clustering algorithm is optimized by increasing the multi-selective convergence threshold based on each cluster center.After many experiments and simulations, from the perspective of various clustering indicators, there is no significant difference between the K-Means clustering algorithm and the K-Mediods clustering algorithm in the case of fewer data points. However, in the case of relatively large data points, the K-Mediods clustering algorithm is more accurate and efficient than the K-Means clustering algorithm. Moreover, compared with the original K-Mediods clustering algorithm, the clustering effect of the K-Mediods clustering algorithm after multi-selective optimization in terms of convergence threshold is reflected in both the sum of squared errors and the contour coefficient. Both have better accuracy.
Study on the Path of High-Quality Development of Baijiu Enterprises Driven by ESG Concepts
Authors: Qiu Lin , Chen Yijun
Published: July 2024

The report of the Twentieth National Congress clearly states that high-quality development is the primary task of China's comprehensive construction of a modern socialist country in the context of the new era. With the global emphasis on sustainable development issues, the concept of environmental, social and corporate governance (ESG) has gradually become the key to achieve high-quality development of liquor enterprises. This paper discusses the status quo of high-quality development of white wine enterprises with ESG concepts, analyzes the current reality of the challenges faced, and puts forward the corresponding path options. It aims to provide reference for the implementation of ESG strategy for liquor enterprises, and promote the industry to a more green, harmonious and sustainable direction.
Comparative Analysis of New Energy Vehicle Marketing between China and America
Authors: Chen Qi
Published: July 2024

From the perspective of energy, traditional fuel vehicles mainly rely on oil as energy, and the limited and non-renewable nature of oil resources make their price rising, and the problem of energy security is increasingly prominent. In order to promote the development of new energy vehicles, many countries have formulated a series of preferential policies and supporting measures, such as car purchase subsidies, free parking, unlimited travel and so on. The implementation of these policies has provided a strong guarantee for the promotion of new energy vehicles. At present, the sales of new energy vehicles in China show a competitive pattern of increasingly concentrated market share towards the top enterprises, and the sales of a large number of independent brands have achieved strong growth. For example, this paper mainly focuses on the marketing perspective of new energy vehicles and the comparison of new energy vehicles in China and the United States, aiming to reveal the development of new energy vehicle enterprises and discuss the commonalities and differences in the new energy vehicle industry in China and the United States.
Research on the Impact of Corporate Social Responsibility on Consumer Behavior—Case Analysis Based on ERKE
Authors: Wang Mengshu
Published: July 2024

Nowadays, corporate social responsibility (CSR) has become an important component of corporate marketing strategies. Numerous studies have shown that companies can establish a good image and gain consumer support by fulfilling corporate CSR, but most of them focus on theoretical and empirical analysis, with few studies analyzing a prominent case of a specific company. Based on the research results of previous scholars on the impact of CSR on consumer behavior, this article analyzes the case of ERKE’s donation in 2022 and elaborates on the issues of ERKE’s CSR behavior causing popularity, the current short duration of popularity and the crisis of perceived sincerity of motivation in ERKE’s CSR behavior. Suggestions are also provided for ERKE’s future implementation of CSR, such as creating sustainable brand value and improving transparency of communication. This study provides a feasible theoretical basis for enterprises to influence consumer behavior positively based on CSR and looks forward to future research directions.
Locus of control and stress coping mechanisms: towards developing a psychological resilience program for athletes
Authors: Qi Baolong , VILLANUEVA, Ph.D. LIZELLE E.
Published: July 2024

This study assessed how student-athletes in the College of Sport Training at Chengdu Sport University assign their locus of control and discover the stress coping mechanisms they employ. The respondents of the study were total pool of 161 student-athletes enrolled in the College of Sport Training at Chengdu Sport University, engaging in diverse sports specifically volleyball, swimming, athletics, aerobics, basketball, tennis, badminton, table tennis, and soft tennis. Based on the findings, the following conclusions were arrived at by the researcher: The study surveyed predominantly male athletes aged 18-20 from various sports divisions, primarily from the Athletics division, with over 2 years of playing experience. Results showed that athletes attribute outcomes to factors like internal control, belief in powerful others, and chance. Self-assessment of their locus of control did not significantly vary based on factors like sex, age, sports division, or years of playing experience. Student athletes demonstrated effective stress coping mechanisms, with active emotional coping being the most commonly used. There was no notable variation in stress coping across demographic and sports-related variables. The study indicates showed stress coping mechanisms, suggesting that their perceived control may impact their stress management.
Study On the Current Status of Illegal Wildlife Trade Based on ARIMA And Logistic Regression Modelling
Authors: Liu Zishuo , Ma Senyuan , Zhang Yanli
Published: July 2024

The purpose of this paper is to explore effective programs to address illegal wildlife trade. With increasing environmental problems, illegal wildlife trade threatens biodiversity and social stability. The government is identified as the client through hierarchical analysis and a comprehensive project program is proposed for a period of five years. The necessity of the project is analyzed through international cooperation, government capacity, human health and biodiversity, and the possible impacts of not implementing the project are demonstrated using ARIMA time series model. Further modeling of expected goals based on logistic regression methods to assess the success of the project. Promote the implementation of the project through cooperation and contribute to solving the problem of illegal wildlife trade. This study provides useful reference and practical guidance for taking effective measures to deal with IWT.
Digital Therapeutics in the Application of Alzheimer’s Disease
Authors: Huang Chenshan
Published: July 2024

As the global population continues to age, the prevalence of Alzheimer's disease (AD) escalates, placing a significant strain on healthcare systems worldwide. While diagnostic methods and therapeutic drugs for AD remain in development, digital therapy emerges as a novel non-pharmacological treatment or adjunctive measure, offering a promising avenue for the diagnosis, prevention, treatment, and management of AD. This article provides an overview of digital therapeutics (DTx) applications, encompassing cognitive assessment, intervention, and risk management, with the intent of informing clinical practice in AD. DTx employs software-driven interventions, such as cognitive training and virtual reality, customized to address patient needs, thereby furnishing real-time assistance to caregivers and patients alike. However, despite its potential, DTx encounters challenges regarding evidence consistency and integration into existing healthcare frameworks. Future research endeavors should prioritize robust experimental designs and interdisciplinary collaborations to enhance the efficacy and accessibility of DTx. Policymakers and healthcare providers must consider the integration and training of DTx to fully harness their benefits in AD management. This study underscores the pivotal role of DTx in shaping the future of AD care and emphasizes the necessity for concerted collaborative efforts across research, policy, and practice domains.
Research on fatigue driving detection technology based on Dlib and micro-expression
Authors: Fang Xinru , Yan Xinyue
Published: July 2024

Driver fatigue is the most important factor contributing to the annual increase in traffic accidents and fatalities. Fatigue can affect driving performance due to lack of concentration and slower reaction time. Therefore, fatigue detection systems are crucial for safe driving. This article proposes a fatigue driving detection scheme based on the dlib library. Build a facial key point detection system based on the Dlib library. Real time calculation of eye and mouth data and head Euler angles using HOG-SVM algorithm, PnP algorithm, and fixed threshold. When running the YOLOV5 model in a PyTorch environment to recognize distracting behaviors, training is conducted on the sample and test sets for recognition, and the accuracy of the model is verified using the validation set for accurate recognition. Train smoking, answering and making phone calls, and drinking water behaviors to achieve distraction detection. Using convolutional neural networks to detect driver status and perform micro expression analysis. Fatigue assessment in multi feature situations of eye, mouth, and head posture and micro expression attention discrimination.
Multi-modal Teaching Ecosystem Design for Computer Graphic Course
Authors: Zhang Xiaochun , Xu Xiaopeng
Published: July 2024

In the context of ecosystem sustainability and high-quality development of education, this paper explores a multi-model teaching ecosystem for the curriculum of Computer Graphics. In this study, the technological concepts of multi-model fusion, transfer learning are transferred to the design of computer graphics course. The proposed ecological course framework consisted of 1) multi-modal curricular practical training platforms; 2) multi-modal knowledge bases; 3) multi-modal hybrid teaching mode. Furthermore, the practical application cases of the industry are taken into account to solve the problems of disconnection between teaching and practice. The teaching effect shows that multi-model based teaching ecosystem have improved students' academic achievement and learning satisfaction.
Meta-synthesis of Student-center Teaching Approach: Impact and Issues
Authors: Wei Jingxuan , Singh Charanjit Kaur Swaran
Published: July 2024

The student-centered teaching method is an instructional approach that emphasizes student involvement and autonomous learning, aiming to stimulate students' interest and initiative in learning. This article explores the impact and issues of the student-centered teaching method in educational practice from a meta-synthetic perspective. This paper will investigate the positive impact of implementing student-centered teaching methods and shed light on the inherent challenges associated with their implementation. By understanding the potential benefits and obstacles, educators and policymakers can make informed decisions and develop strategies to effectively integrate student-centered approaches into educational systems. The findings of this study will contribute to the ongoing discourse on pedagogical practices, ultimately striving for an inclusive and effective education system that meets the diverse needs of students.
A Study of Momentum Change in Sports Competitions Based on Evaluation and Correlation Analysis
Authors: Zhang Haonan , Liu Yu
Published: July 2024

In sports competitions, momentum has an important impact on the outcome of the game, and how to accurately capture and analyze momentum changes has become a key issue in research. But traditional methods often lack comprehensiveness and objectivity, so a new assessment model is needed to better understand and predict momentum changes. In this paper, an assessment model of momentum change is proposed, aiming to establish a comprehensive and objective momentum assessment model through data transformation, correlation analysis and weight calculation. The assessment model of momentum change is based on the data transformation technique, which converts score data into game data and generates 17 indicators to reflect various factors in the game. Meanwhile, using Spearman correlation coefficient and the Criteria Importance Through Intercriteria Correlation (CRITIC) algorithm, the weights of these indicators were assigned and correlation analysis was carried out to establish the Momentum Assessment Model (MAM). This paper takes the 2023 Wimbledon Men's Singles Final as an example to demonstrate the effectiveness of MAM in analyzing momentum changes in the match flow. The results show that the model can help to understand and predict the relationship between player performance and match results during a match, providing an important research tool for the field of sports and athletics.
The Integration and Conflict Between Digital Finance and Traditional Monetary System
Authors: Fu Wenzhao
Published: July 2024

The wave of digitization is sweeping the world. The financial industry has also entered the process of digitization. The combination of both produces digital finance and derives many digital financial products such as Bitcoin, Digital RMB and so on. The products are constantly breaking through the disadvantages of the traditional monetary system and bringing new vigor to the traditional monetary system. Digital finance has deeply integrated with the payment, cross-border settlement, and reserve of the traditional monetary system. It brings a lot of innovative features. At the same time, due to the rapid development of digital technology, the relevant supporting measures and practitioners' literacy have appeared as unsuitable phenomena and problems in macro-monetary policy regulation, information leakage, and legal supervision. And giving corresponding suggestions on related issues, this paper aims to do profound research and analysis by providing examples, which is to explore the integration path and conflict coordination between digital finance and traditional monetary system and to provide reference value for the benign development of digital finance.
Quinoa Protein Supplementation as a Novel Dietotherapy for Type 2 Diabetes Mellitus
Authors: Yu Ruomei
Published: July 2024

Type 2 Diabetes Mellitus (T2DM) is a metabolic disorder that affects the cardiovascular and urinary systems and characterized by high blood sugar levels.  Current treatments have side effects and demand strict dietary control and exercise. Moreover, complications like diabetic nephropathy remain a major concern. In this study, we sought for a new dietotherapy for T2DM. Dietotherapy, a branch of dietetics concerned with therapeutic uses of food and diet, is receiving increasing attention in recent years due to food's dual roles in health and medical care. This study explores the potential of quinoa protein as a novel food-based approach for T2DM management and prevention. Chenopodium quinoa, known as the "superfood" or "golden grain," contains bioactive peptides with potential health benefits for metabolic disorders. However, its role on T2DM is not fully understood. This research investigates quinoa protein supplementation's anti-diabetic potential using physiological, histological, and cytological methods with C57BL/6 male mice and db/db diabetic mutants as animal models. This study provides evidence for the significant improvements that quinoa protein supplementation has on weight and glycemic control in both diabetic and healthy mice, offering restored peripheral insulin sensitivity as a biologically plausible explanation. Quinoa protein supplementation on mice also improved their kidney architecture, increased the number of glomeruli, and enhanced renal regularity, suggesting a protection against diabetic nephropathy. In short, this study revealed the potential of quinoa protein in weight loss, glucose control, and kidney protection. Scientific evidence are provided for further development of quinoa protein, which has a practical significance.
Application Methods of Qing Dynasty Cloud Shoulders in Modern Women's Fashion
Authors: Jiang Xinyi , Gu Yi
Published: July 2024

Traditional Chinese elements are the essence of China's traditional clothing culture, and the organic combination of traditional elements with modern design is a timeless topic. The cloud shoulder, as a unique garment style, features rich shapes and decorative patterns, along with profound cultural connotations. It provides inspiration for modern fashion design and serves as a valuable material that should not be overlooked. The cloud shoulder has a unique charm and acts as a medium where traditional culture and craftsmanship converge. In ancient Chinese clothing culture, the cloud shoulder from the Qing Dynasty can be seen as an important symbolic element that ingeniously integrates historical culture and folk art. By analyzing specific cases of contemporary women's fashion design, we can distill the design principles and application methods of cloud shoulder elements in women's clothing. This exploration seeks to identify suitable design methods that combine traditional elements with modern design, offering new ideas for the inheritance and development of traditional cloud shoulders.
Autonomous Vehicle Navigation Based on Vision and Mapless Strategies
Authors: Guo Yunsong
Published: July 2024

Vision camera recognition system has many roles as face recognition can be used in the criminal system, object recognition can quickly classify items, and behavioral recognition can be placed in the intelligent cockpit to identify and analyze the driver's behavior and make the correct judgment and decision-making. Vision cameras can also be used in automatic automobile driving because the camera will not be distracted and can be installed with multiple cameras to observe simultaneously, so the camera can constantly observe the surrounding situation, which is incomparable to human vision. Mapless traveling is also probable to happen in life, so it is a very common situation. The use of mapless and camera recognition systems is also extensive. In this paper, I will introduce three kinds of autonomous driving. Firstly, I will introduce optical flow, which is made by stacking images frame by frame and calculating the speed and position of objects through the position of each frame; secondly, vision tracking, which is caused by camera shooting and calculating to localize the other objects and make the right decision for the vehicle; and lastly, the no-map strategy, which also combines the camera and radar, and combines the two. Finally, the mapless strategy can also combine camera and radar, combining the advantages of the two to make the data of autonomous driving more accurate so that autonomous driving will be safer for drivers and passengers.
An Integrated Assessment Model of Momentum and Performance in Tennis Based on PCA And TOPSIS
Authors: Liang Zhiming , Shen Xiukang , He Yuxing
Published: July 2024

This study conducted a complex analysis of the performance of athletes in tennis matches, taking into account that the performance of athletes is not only affected by the direction of the serve, but also by a variety of factors. Therefore, this study used a combination of Principal Component Analysis (PCA) and TOPSIS to solve this problem. Specifically, this study first extracted three indicators based on the original data and determined the weights of these indicators using the PCA method. Then, the momentum is reflected by weighting and summing these indicators. Next, this study used the TOPSIS model to combine momentum with other metrics in order to assess, visualise and analyse the performance of the players' scores at each point in the match. With this approach, this study was able to capture the flow of the game as scoring occurred during the match. Finally, this paper tested our model on several games and demonstrated that the model better captures the flow of the game as it is scored.
Study on the Self-presentation in the Use of the Netizens’ Micro-blog Alternate Accounts from the Perspective of Dramaturgical Theory
Authors: Liu Yuxuan
Published: July 2024

In recent years, with the expansion of the user scale of micro-blog and the improvement of socialization, micro-blog has evolved into an important socially influential social media platform from a personal life sharing platform. Facing social pressure and the risk of privacy disclosure, the users have begun to seek more private and personalized communication means, thus micro-blog alternate accounts emerged as the time require. This thesis explores the self-presentation behaviors of micro-blog users in both their main and alternative accounts and studies their behavior through snowball sampling and semi-structured interviews. From the perspective of dramaturgical theory, it compares the performance differences between netizens in the “front stage” and the “back stage”. The study found that the emergence of micro-blog alternate accounts is to meet the diverse needs of users in privacy protection, information screening and social interaction. Meanwhile, users also need to follow corresponding principles when using micro-blog alternate accounts.
Spatial Changes after Public Safety Incidents
Authors: Lu Changyu
Published: July 2024

How to use space to regulate people's behaviour is one of today's key issues. The academic community for environmental behaviour research from the environmental determinism, gradually shifted to the interaction theory. Many studies have focused on the effects of human behavior on space and vice versa. However, research on the safety of specific workspaces is lacking. This paper delves into safety hazards within workspaces amid social tensions and public safety hazards, exploring how environmental enhancements can inversely impact human behavior. This paper compares the workspaces for bus drivers from different countries, analyses the advantages and disadvantages of each configuration, and concludes two key aspects in improving worker safety: establishing proper enclosure of physical space for the workers and maintaining a visual connection with the public. These two aspects are critical for other workspaces, such as doctor’s offices and commercial kitchens as well. Through such spatial adjustment, designer can achieve the purpose of regulating the user behaviours. This paper also looks into the safety measures implemented after different types of natural disasters and confirms that substantial safety improvements are achievable through thoughtful design interventions.
Study on Tourism Service Quality Evaluation based on Cultural Perception Effect
Authors: Li Yang , Huo Wenjie , Nan Feng , Zhang Weiwei , Zou Jihang
Published: July 2024

Based on the deep integration of cultural tourism as the historical backdrop of this study, and aiming to address the inadequacies in the evaluation of tourism service quality, we propose an evaluation perspective centered on cultural perception. We introduce the DiD (Difference-in-Differences, dual differential analysis) analysis method to construct an evaluation model based on the impact of cultural perception. This model considers both direct satisfaction feedback from tourism consumption and the indirect value-added effects of cultural products. By evaluating these dimensions, we aim to enhance the assessment framework for tourism service quality within the context of cultural and tourism integration. This approach provides theoretical research support to better advance cultural tourism integration and highlight its significant impact.
Analyzing the Marketing Strategy of Luxury Brands from the Perspective of Luxury Brand Positioning -- Taking Rolex Watches as an Example
Authors: Wang Wotian
Published: July 2024

Based on Rolex's sales situation, market overview and marketing strategy in the past 5 years, this paper analyzes Rolex's strategic objectives in 2024, aiming to make a reasonable and rational inference about Rolex's sales strategy in 2024. This paper mainly uses the literature survey method and case analysis method, through the comprehensive analysis of sales, secondary market stability, brand positioning, distributor cooperation, price strategy, innovation and other aspects of each year, to get part of the development strategy planning of Rolex. This study shows that luxury brands need to actively innovate in brand creation and product marketing. The Rolex brand needs to dynamically analyze the development situation of the industry in the new era, focus on digital marketing strategies, and break the traditional marketing model under the application of media carriers and modern technological means. Expand the scope of corporate services and luxury brands through the "online + offline" integration model. This can not only help enterprises to create greater economic benefits, but also stabilize the development position of enterprises in the industry, which is an inevitable trend of the development of the luxury industry in the direction of digitalization.
Conventional Von Neumann and Neuromorphic Architecture of AI Chips
Authors: Qu Jingwei
Published: July 2024

In the background of the shortage of computing power in the training AI field, the current solutions and future outlooks will be shown if they tackle this dilemma. From the continuation of the traditional computer structure, Von Neumann structure, the three types of AI chips GPU, FPGA, and ASIC will be introduced and state their developments and drawbacks. Besides, a brand new solution gaining inspiration from our brain will also be discussed and introduce the fundamental electronic component to accomplish the goal. The principle of how a nerve fires will also be illustrated and based on this catch a glimpse of the neural network. Besides, The principle of memristors and with the support of crossbars, how could they be used in manufacturing AI Chips will be explained. Finally, the latest research in this field. The advantages and challenges will also be involved. Finally, a comparison of these solutions will be proposed.
Effects of Soy Isoflavones and Evening Primrose Oil on Female Aging and Diseases
Authors: Qi Xuan
Published: July 2024

Functional dietary factors play a crucial role in influencing the process of aging and the development of various diseases, especially in women. Among the plethora of dietary components studied, soy isoflavones and evening primrose oil (EPO) have emerged as intriguing subjects due to their potential effects on female aging and the management of female-specific diseases. Soy isoflavones, phytoestrogens abundant in soybeans, have been studied for their potential role in mitigating age-related hormonal changes and associated health problems in women. Evening primrose oil, abundant in gamma-linolenic acid (GLA), has been researched for its potential benefits in addressing a range of women's health issues.This study aims to provide a comprehensive overview of the current understanding of the effects of soy isoflavones and evening primrose oil on female aging and female-specific diseases. By synthesizing findings from clinical trials, epidemiological studies, and mechanistic investigations, this paper endeavors to elucidate the significance of these dietary elements in enhancing women's health throughout their lives.
Research Progress and Future Prospects of Bridge Health Monitoring
Authors: Xiao Lanzhi , Sun Weiqi
Published: July 2024

At present, with the rapid development of new bridges, the prominent contradiction between the high demand for service safety and service quality of China's in-service bridges and the lack of actual performance of structures is becoming more and more reflected. In order to solve this problem, vigorously developing bridge health monitoring technology has become one of the important means. The purpose of this paper is to provide an overview of the parameter processing and evaluation and maintenance of bridge health monitoring, including the collection, transmission, processing, and evaluation of monitoring data, and distinguishes between two different evaluation methods based on time-varying reliability theory and those based on historical measurement data. The article also provides an overview of the current challenges in the field of bridge health monitoring and an outlook for future directions.