bluuebunny/crossref_metadata_2025 huggingface dataset:
Review of Convolutional Neural Network Models and Image Classification
Authors: Hua Weiqi , Li Chunzhong , Wang Xinsheng
Published: April 2024

With the arrival of the era of big data and the improvement of computing power, deep learning has swept the world. Traditional image classification methods are difficult to deal with the huge image data, and cannot meet the requirements of people on the accuracy and speed of image classification, the image classification method based on convolutional neural network breaks through the bottleneck of the traditional image classification method, and becomes the mainstream algorithm of image classification, how to effectively use convolutional neural network to classify images has become a hot spot of research in the field of computer vision at home and abroad. In this paper, we review the research background, significance and current research status of convolutional neural network model and image classification, study two image classification methods based on ResNet and ShuffleNet, and provide a comprehensive review of the construction methods and characteristics of the two deep convolutional neural network model structures, and finally compare and analyse the performance of the two classification models.
Prospect of Financial Analysis Under the Background of Big Data
Authors: Liu Xiu
Published: April 2024

With the continuous development of Internet information technology, data information is increasing and changing people's lives in various ways The era of big data has come In the era of big data, the financial analysis of enterprises has also changed The most objective sign is that the data in financial analysis is completed effectively with big data, and the quality of financial analysis of enterprises has been improved significantly However, the era of big data also brings challenges to financial analysis, which puts forward higher and new requirements for modern financial accounting Based on this, taking the era of big data as the research starting point, this paper explores the application of big data mining in financial analysis, analyzing the opportunities and challenges faced by enterprise financial analysis under the background of big data, studies how enterprise financial analysis meets the challenges of the era of big data, probes into how financial workers should adapt To the needs of the development of the times, consistently innovate working methods and means, and find out the working path to the era of big data providers better services for the decision making development of enterprises.
Research on Zero knowledge with machine learning
Authors: Zhang Yi , Fan Ziying
Published: April 2024

This research paper explores the intersection of zero-knowledge proofs (ZKPs) and machine learning (ML), presenting a comprehensive overview of recent advancements, applications, and challenges in this fast growing area. The jointers of ZKPs and ML techniques shall go a meter further to fuse privacy, security, and integrity in a number of solutions, which include forming of groups for data sharing and safe machine learning. Through the investigation of the well-respected sites in that area and also the thorough description of formulas and their experimental outcome, this paper looks for the clarification of the current state of affairs and the possible future directions of ZKPs in the AI world. By inserting the verification mechanism of ZKPs into machine learning ecosystem, it allows devising novel solutions for the problems of privacy and confidentiality that have for long been not solved. With this approach, the concatenation of parties collectively performs the process of dealing with private inputs without revealing any of these data and this, in return, opens the possibilities of secure multi-party computation. Furthermore, ZKPs protect data sharing as it gives people the opportunity to construct confidential data and share them to model training without compromising any one’s private details. Being a part of the dynamic conversations, which focus on the game-changing capacity of transparent zero-knowledge proofs (ZKPs), this paper brings the role of ZKPs in preserving the confidentiality and integrity of artificial intelligence (AI) applications into the centre of attention. As scientists still fight to improve protocols and circumvent computational complications, ZKPs are likely to establishment as critical tools in the effort to increase ML systems in the digital sphere.
Study of the Nonlinear Effect of Debt Leverage on Household Financial Asset Allocation
Authors: Lin Jia
Published: April 2024

Using data from the China Household Finance Survey (CHFS), this paper investigates whether there is a nonlinear effect of debt leverage on households' financial asset allocation. The study shows that debt leverage affects households' motivation to participate in the financial market and leads to a reduction in the efficiency of financial asset allocation, with a certain nonlinear effect on low-debt households. Further, this paper provides policy recommendations to address the issue of reducing the impact of debt risk on residents' asset allocation, which is important for realizing the growth of household wealth.
Quantitative Inversion of Soil Salinity in Different Seasons in Huinong District, Ningxia based on Sentinel-2 satellite
Authors: Wang Tuo , Shen Xiaojing , Luan Wenjie
Published: April 2024

Salinisation of agricultural soils poses an important constraint to sustainable agricultural development, especially in the Huinong region of Ningxia, northwestern China, where salinised soils are widely distributed. However, due to the limitations of monitoring technology, the detailed situation of soil salinisation in this region is not known. Currently, the multispectral instrument (MSI) on board the Sentinel-2 satellite provides a good opportunity for monitoring soil salinity dynamics. Therefore, in this study, the feasibility of using the multispectral instrument (MSI) on board the Sentinel-2 satellite, combined with a machine learning model, to accurately monitor the soil salinity content during the spring and summer seasons was explored. And three additional red-edge bands (B5-B7) were used instead of the traditional red band (B4) to generate potential soil salinity indices. A screening method based on the PLS-VIP criterion was used to screen the spectral covariates, and three machine learning methods, namely, Random Forest (RF), Support Vector Machine (SVM) and Extreme Learning Machine (ELM), were employed to build the inverse model of soil salt content. The results showed that the Random Forest model based on Sentinel-2 imagery performed the best in the inversion with good prediction results, with R2 and RE of 0.825 and 0.207 and 0.711 and 0.271 in spring and summer, respectively.The study also revealed that soil salinity varied significantly between seasons, and was higher in spring than in summer. This result is of great significance as a guide for soil salinity monitoring and land reclamation in arid or semi-arid regions.
Legal Obligations and Potential Risks for Chinese Electric Guitar Enterprises from a Perspective of International Commercial Law
Authors: Chen Keyu
Published: April 2024

Legal Obligations and Potential Risks for Chinese Electric Guitar Enterprises from a Perspective of International Commercial Law
Research on the Governance of Unfair Competition Among Internet Platform Enterprises
Authors: Hu Zhiming
Published: April 2024

With the rapid development of the digital economy, data has increasingly become a key factor for enterprises to gain competitive advantages in the market. While internet platform companies utilize data and algorithms to innovate business models and enhance operational efficiency, they also engage in unfair competitive practices such as forced "choose one out of two," data scraping, blocking and screening, and traffic hijacking, undermining fair competition and innovation in the industry. Therefore, this paper investigates the issue of unfair competition governance among internet platform companies, aiming to provide valuable suggestions for promoting the regulated, healthy, and sustainable development of the platform economy.
Research on the Brand Rejuvenation Strategy of Guochao Cultural and Creative Products Under the Background of "Internet +"
Authors: Cheng Yudan
Published: April 2024

With the rapid development of "Internet +", the elements of "national tide" are more and more popular at present, and the development trend in the field of cultural and creative consumption is more and more rapid. At the same time, "Internet +" has changed the core competitiveness of media, and brought many opportunities and challenges to the younger brand of cultural and creative products. Based on the development background of "Internet +", this paper puts forward a new strategy for the younger brand of Guochao cultural and creative products to provide a new direction for the development of Guochao cultural and creative cause.
Navigating Identities in Flux: Exploring Diasporic Black Identity Issues in Chimamanda Ngozi Adichie’s Americanah
Authors: Li Yajing
Published: April 2024

This paper critically explores the concept of identity in diaspora literature through Chimamanda Ngozi Adichie’s Americanah, highlighting the identity crises and rebuilding efforts of the African diaspora within a postcolonial context. It examines the challenges faced by these individuals, such as racial discrimination, isolation, and prejudice in Western societies, and how they impact their quest for belonging. Utilizing identity theory, the study analyzes the experiences of characters like Ifemelu, Obinze, Uju, and Dike to understand their struggles with cultural displacement and the search for identity in either their homeland or abroad. Adichie’s narrative emphasizes the importance of maintaining cultural identity and self-confidence against the backdrop of global diaspora challenges. The paper concludes by recognizing Adichie’s significant impact on altering global views of Africa and her efforts to enhance African cultural pride, positioning her work as a key contribution to the discourse on diaspora and identity. Through Americanah, Adichie offers a profound insight into the diasporic experience, promoting a richer, more nuanced understanding of cultural diversity in our interconnected world.
Energy Consumption Optimization Analysis of LNG Receiving Station Based on Genetic Algorithm
Authors: Lu Weihua , Ma Tingxia , Zhang Longyao
Published: April 2024

In response to the problem of high energy consumption in LNG receiving stations, based on literature research, numerical simulation combined with genetic algorithm optimization methods were used to establish a calculation model and ASPEN HYSYS steady-state simulation model for the LNG receiving station equipment, each unit process and the overall receiving station process. The various parameters in the LNG receiving station will have a certain impact on the overall energy consumption of the LNG receiving station. Combined with the operating requirements of the LNG receiving station site under different working conditions, and considering the coupling effect of multiple factors, the technology of optimizing the operating parameters of the LNG receiving station to reduce energy consumption is selected, and the adjustable decision-making parameters and their range of changes are selected, and the constraints are set according to the actual situation and Establish the energy optimization objective function of the LNG receiving station process system, and evaluate and analyze the energy consumption indicators of the optimized process system.
The Character Development of University Students on Education in A District
Authors: Bai Jing , Balinas Jesse M.
Published: April 2024

Character development is a continuous and developmental process shaped by educational experiences and learning. As character development remains a high priority for educators, this study explores the impact of education on the character formation of university students in A district. This study acknowledges the objective laws governing character formation among university students. To analyze the character of university students in A district, quantitative research methods will be employed. By identifying influencing factors, the research seeks to contribute valuable insights into the nexus between character development. The findings of this study will not only shed light on the vital role of education in universities but also address the societal and internal demands for student growth and success. The research proposes new requirements for enhancing character cultivation in the new era, delineating these requirements across three dimensions: teaching staff, teaching methods, and teaching environment.
DNA Information Storage and Cryptography System
Authors: Zhang Zeping , Zhang Zhihao
Published: April 2024

With the development of information technology, the global data volume is growing exponentially. In order to alleviate the contradiction between massive data and traditional storage technology, people begin to seek for a new generation of storage media. As a carrier of genetic information, DNA has the characteristics of high information density, long storage life and low maintenance cost, which can effectively overcome the deficiency of traditional storage media. With the development of DNA synthesis and DNA sequencing technology, DNA data storage technology has attracted more and more attention, and a series of major breakthroughs have been made. In this paper, with the workflow of DNA data storage as the main line, expounds the basic theory of DNA data storage and related technology, mainly introduced the research progress of DNA storage method and strategy, briefly summarizes the latest research results of DNA data cryptography, and finally discussed the major challenges that DNA data storage technology is facing , especially, DNA synthesis efficiency, DNA sequencing time cost and DNA data cryptography will be an important research direction of DNA storage technology in the future. It is believed that with the deepening of the data storage research on DNA, DNA data storage will become the most potential new storage method in the future, and can be a practical application in the future.
The Integration of Public Art and Social and Cultural Values
Authors: Hao Mingjie
Published: April 2024

This study aims to explore the integration of public art and social and cultural values, and analyze the role and influence of public art in the development of community culture through in-depth study of the interaction between public art and social and cultural values. The research method adopts the case analysis method to draw relevant conclusions through an in-depth analysis of the interaction between specific public art works and community culture. The research results show that the integration of public art and social and cultural values is of great practical significance and can promote the prosperity and development of community culture. At the same time, it also provides new ideas and directions for the creation and design of public art. During the research, we collected a large amount of data through questionnaires and field interviews, and conducted an in-depth analysis of public works of art and community culture. The study found that public art not only has aesthetic value, but also has social and cultural value, which can promote the exchange and dissemination of community culture. At the same time, the interaction between public art and community culture is also very close, and the design and creation of public art works need to fully consider the cultural background and needs of the community. In addition, this study also found practical cases of public art in the development of community culture, which provides a useful reference and reference for future public art creation. In a word, this study provides a new perspective and method for the integration of public art and social and cultural values, which is of great theoretical and practical significance for promoting the prosperity and development of community culture.
Analysis of Women in Management Positions
Authors: Chen Cheng
Published: April 2024

With the continuous development of diversification and differentiation of enterprise management, more and more women have begun to take up management positions in enterprises, and it has become an important proof to promote the leapfrog development of enterprises. The report mainly analyze women global leaders, diversity, leadership styles and effectiveness, gender problems and so on. It will pay more attention to the relationships between gender, national culture and leadership style, global effectiveness with examples. Additionally, the diversity of leadership depends on many factors such as gender, age, culture, faith and so on. It also brings both positive and negative effects and deserves further analysis. The report will be divided into several parts include these aspects. The reason of an increase in management in India includes external and internal reasons. The analysis of influence that gender and national culture on leadership style and global effectiveness is based on several examples and the influences have two sides: positive and negative. And some recommendations are introduced.
The Dynamic Evolution of Chinese-style Modernization Level Measurement
Authors: Ju Wenliang
Published: April 2024

This paper begins with a literature review and then develops an index system through a systematic analysis of the theoretical logic and realistic features of Chinese-style modernization. The study conducts a comprehensive analysis of the panel data of 31 Chinese provinces (municipalities) from 2012 to 2021. The entropy-weighted TOPSIS method is used to calculate the comprehensive evaluation scores of each region in each year and rank them. The study also examines the temporal evolution pattern of the level of Chinese-style modernization in each region, as well as the regional differences, using methods such as Thai Kernel Kernel Density Estimation.  The empirical results indicate that the eastern region is leading the country in terms of modernization level. The central region and the three northeastern provinces have similar modernization levels, but the overall level of the central region has increased over the decade, while the northeastern region has shown a decline. The economic modernization construction in the western region faces a contradiction as the region has a relatively small economic scale, a low level of industrial structure, and has not yet transformed its economic construction kinetic energy. This highlights the need for improvement in the region's overall level to keep up with the path of modernization. Based on this, this paper presents policy recommendations aimed at promoting economic development, innovation and entrepreneurship, strengthening social security, and advancing urban-rural integration. The goal is to comprehensively improve China's level of Chinese-style modernization.
Self-supervised learning backdoor defense mixed with self-attention mechanism
Authors: Yuan Guotao , Huang Hong , Li Xin
Published: April 2024

Recent studies have shown that Deep Neural Networks (DNNs) are vulnerable to backdoor attacks, where attackers embed hidden backdoors into the DNN models by poisoning a small number of training samples. The attacked models perform normally on benign samples, but when the backdoor is activated, their prediction results will be maliciously altered. To address the issues of suboptimal backdoor defense effectiveness and limited generality, a hybrid self-attention mechanism-based self-supervised learning method for backdoor defense is proposed. This method defends against backdoor attacks by leveraging the attack characteristics of backdoor threats, aiming to mitigate their impact. It adopts a decoupling approach, disconnecting the association between poisoned samples and target labels, and enhances the connection between feature labels and clean labels by optimizing the feature extractor. Experimental results on CIFAR-10 and CIFAR-100 datasets show that this method performs moderately in terms of Clean Accuracy (CA), ranking at the median level. However, it achieves significant effectiveness in reducing the Attack Success Rate (ASR), especially against BadNets and Blended attacks, where its defense capability is notably superior to other methods, with attack success rates below 2%.
The Impact of Algorithmic Bias on Consumers
Authors: Chen Xin
Published: April 2024

Algorithmic bias has aroused people's attention to the ethical problems of intelligent services, and directly affects consumers' willingness to use intelligent services. The purpose of this study is to explore the effect of algorithmic bias on consumers' willingness to use intelligent services, which has positive significance for the future design of intelligent services.
Research Progress of Bond Slip at The Interface of FRP Bars and Concrete
Authors: Wang Yan , Qiao Jingsheng
Published: April 2024

The bond between FRP bars and concrete is the key to the strength and durability of FRP reinforced concrete members, and it is the decisive factor to make full use of the light, high strength and corrosion resistance of FRP bars. In this paper, according to the research results of bond properties of FRP bars and concrete at home and abroad, the paper analyzes four aspects, including test method of bond properties of FRP bars, bond mechanism, factors affecting bond properties of FRP bars and bond slip constitutive relationship model. The shortcomings of the existing research results and the problems to be solved are analyzed and compared comprehensively. At last, some references and suggestions are provided for the further research and application of FRP reinforced concrete structures.
Research on the International Academic Influence of the Police of Building Word-Class University in China
Authors: Fan Jiali
Published: April 2024

According to China's "Double First-class" construction, the first round of world-class university construction started in 2016, aiming to promote a number of high-level universities into the world first-class ranks, and accelerate the modernization of higher education governance system and governance capacity. By 2020, the first round of the construction has been completed. Whether the policy of world-class universities has achieved the above goals under the promotion of the central and local departments has become an issue of widespread concern in the society. Therefore, this paper collects the relevant data of the world-class universities in 2015 to 2020 and 42 international universities not affected by the policy. Based on the difference-in-difference model, the policy effect is evaluated from the perspective of the international academic influence of the universities. It is found that the policy of world-class universities has a significant role in promoting the international academic influence of universities, especially in the influence of high-level papers and citation.
Research on Deformation Characteristics of Pipelines Under Landslide Action
Authors: Mao Yikang
Published: April 2024

Landslide disasters often occur along oil and gas pipelines, seriously affecting the safety of oil and gas transportation. Therefore, it is urgent to study the deformation and damage characteristics of pipelines under landslide disaster conditions. This article takes oil and gas pipelines under landslide disaster conditions as the research object, and based on numerical simulation methods, focuses on the influence of different landslide parameters on pipeline deformation and damage. The research results indicate that the length, width, height, and slope of landslides, as well as the relative position of pipeline landslides, have a significant impact on pipeline deformation and damage; When the oil and gas pipeline is laid in the middle of the landslide, the response of pipeline deformation and failure to slope sliding is most significant; The prediction results of the pipeline landslide geological hazard warning model are highly consistent with the original data and have wide applicability. The research results are of great significance for monitoring and evaluating geological hazards of pipeline landslides, and reducing the risk of geological hazards of pipeline landslides in the monitoring area.
Key Points for Quality Control of Fine Decoration Delivery in Real Estate Enterprise
Authors: Cao Qinrun
Published: April 2024

With the increasingly development of real estate in China, coupled with the strong promotion of the delivery of fine decoration products for commercial housing in developed cities in China, the delivery of fine decoration products for commercial housing has become the mainstream of residential development developed cities in China. Due to the late start of real estate development in China, there is relatively little experience in delivering finished products for fine decoration of commercial residential buildings. At the same time, homeowners have high requirements for fine decoration delivery, and there is a situation of "making trouble every time" in some cities, which puts Chinese real estate development enterprises in a disadvantaged position in delivering fine decoration houses. How to strengthen the quality of interior decoration projects for commercial residential buildings and improve delivery satisfaction is an urgent problem that real estate enterprises are facing.
A Review for Forest Fire Monitoring in Wireless Sensor Networks
Authors: Chen Yangzhi
Published: April 2024

Due to the occurrence of global warming forest fires more frequent, the damage caused was shocking in recent years. In order to reduce this natural disaster, forest monitoring as an important part of forest fire prevention, which is also more valued by the public and adopts the wireless sensor network as a new type of monitoring methods. This system can form a large range of real-time detection network throughout the sensing nodes, provide great convenience for protective workers. However, this technology still has some drawbacks, such as the endurance ability and the accuracy of locating the fire source, so this paper analyzes the problem, and provides a solution.
Risk Analysis of College Students' Entrepreneurship
Authors: Zhang Chunyu
Published: April 2024

As the employment of college students becomes more and more difficult, Many college students choose to start their own businesses after graduation. Self-employment of college students, apart from the initial capital risk, it will also face problems such as lack of social experience, mentality, vague understanding of entrepreneurship, and insufficient entrepreneurial rationality. College students can solve problems by understanding environmental changes, learning business management, mastering market trends and other methods and measures to promote the healthy development of college students' entrepreneurship.
Research on the Driving and Control of an Intelligent Book Robot
Authors: Wang Xingyu
Published: April 2024

Based on the theoretical foundation provided by kinematic simulations under various parameter conditions using Adams for robots' control, this paper designs a dual-closed-loop drive control system for the robot. It constructs the drive speed control hardware circuit and simulates the step response of positional PID, incremental PID, and fuzzy PID in Simulink. Positional PID is selected as the velocity control algorithm due to its fast response characteristics and ease of implementation. The drive circuit and control algorithm are jointly simulated using Proteus to verify the speed control effect of the robot's drive.
Analysis of the Current Situation and Development Trend of Central Plains Cultural Industry Under the Perspective of "Belt and Road"
Authors: Chu Yuying
Published: April 2024

As the birthplace of Chinese civilization, the Central Plains region boasts a cultural heritage and historical tradition spanning thousands of years, The Chinese culture formed by radiating outward from the Central Plains has become an indispensable part of the current wave of world culture. Therefore, to promote Chinese culture to the world, disseminate Chinese stories, and showcase Chinese characteristics and style, it is necessary to firmly grasp the root of Central Plains culture. Meanwhile, as an important region for the development of mutually beneficial cooperation under the Belt and Road Initiative, the Central Plains region holds significant meaning for building a cultural highland for the entire country and realizing the great vision of a socialist cultural power, This poses a requirement for the exchange and dissemination of the essence of Central Plains culture and the construction of a systematic Central Plains cultural industry. Currently, the development of the Central Plains cultural industry lags behind in four dimensions: content development, cultural dissemination, integration with modern technology, and the scale of the industry, By deeply exploring the difficulties facing the development of the Central Plains cultural industry, we can predict its future development trends and further demonstrate the resilience of Chinese culture amidst the turbulence of global cultural trends.
Power Battery Cascade Utilization Reverse Supply Chain Literature Review
Authors: Zhou Chunlian , He Wei
Published: April 2024

In the 21st century, the development prospects of new energy vehicles are broad, and the next few years are expected to continue to maintain rapid growth. However, with the continuous expansion of the new energy vehicle market, the recycling problem of power batteries has gradually become prominent. The power battery contains precious metals and harmful substances that may cause environmental pollution, which will lead to waste of resources and environmental pollution if the recycling is not properly handled. Therefore, taking the right recycling measures is essential to protect the environment and save resources. This paper mainly studies the reverse supply chain recycling of power batteries, including the following aspects: supply chain recycling channels, government participation in recycling, research on cascade utilization of power batteries, and puts forward prospects for future research on cascade utilization of power batteries.
Research on Target Detection Algorithm Based on Aerial Video
Authors: Liu Xiangchen , Zhang Lin
Published: April 2024

For the Yolov5 target detection algorithm, firstly, the DPFEM network is proposed to replace the original BottleneckCSP and C3 network structure for the problem of inadequate feature extraction for small targets, secondly, the MAFFEM module is proposed to alleviate the conflict of feature fusion due to the fusion conflicts brought by the different scales of the feature maps during the feature fusion, finally, the training The results show that the improved Yolov5 algorithm mAP0.5 and mAP0.5:0.95 are improved by 2.2% and 1.7%, respectively, and have certain application potential.
A boosting-based prediction model for disease progression
Authors: Gao Yixuan , Hou Liushuang , Gao Yonghao , An Meng , Xiao Wenbao
Published: April 2024

With the intensification of the aging population in China, the number of patients with Parkinson's disease is showing a high growth trend. At present, the diagnosis of Parkinson's disease mainly relies on clinical assessment scales, but there are shortcomings such as poor accuracy, large scoring span and poor timeliness. Therefore, based on boosting, this paper uses a cross-validation algorithm to select the best model among 14 machine learning models and constructs the Multimode Parkinson model. We validate the performance of our model in predicting the extent of Parkinson's disease. Experimental results show that this method is superior to traditional algorithms and can be effectively applied to the treatment of Parkinson's disease.
Vehicle Detection and Tracking Techniques Based on Deep Learning in Road Traffic Surveillance
Authors: Liu Xiaolong , Nelson C. Rodelas
Published: April 2024

This article discusses the application of deep learning in vehicle detection and tracking technology, elaborating on the basic concepts of deep learning and its advantages in vehicle target detection. Deep learning models such as Convolutional Neural Networks (CNNs) overcome the reliance on manual feature engineering by automatically learning image features. The article focuses on two deep learning detection frameworks, Faster R-CNN and YOLO. The former combines region proposal networks with region classification networks to achieve end-to-end optimization, while the latter transforms the detection task into a regression problem, enabling real-time detection in a single forward pass. Regarding vehicle tracking, the article explores the challenges of multi-object tracking such as occlusion, cross-movement, and the tracking requirements of different vehicle types. Deep learning applications in this field, such as the DeepSORT and Tracktor algorithms, combine CNNs, RNNs, and traditional tracking methods to achieve feature learning, historical state modeling, and probabilistic reasoning. Performance evaluation is discussed in terms of metrics like IoU, precision, recall, and F1 Score, comparing and analyzing the performance of different algorithms in vehicle detection and tracking tasks. Lastly, the article discusses the balance between real-time and accuracy in deep learning-based vehicle detection and tracking technology in road traffic monitoring, as well as its significant role in traffic accident warning and management.
Early Warning Model Construction Based on Z-Score Financial Risk: China's U.S. Stock Information Technology Companies
Authors: Wang Huijun , Wen Junyan
Published: April 2024

Information technology is the foundation for the development of digital economy and the key support for the construction of digital China. The U.S. stock market has a faster financing speed and is the preferred place for Chinese enterprises to list abroad. Based on the Z-Score financial risk early warning model, this study takes China's U.S. stock information technology companies as samples, adds 23 financial indicators to the measurement indicators, and utilizes Fisher's discriminant method for discriminant analysis and validation. The research results show that compared with the Z model, the new model, except for X1, the rest of the variable indicators, indicator coefficients and risk interval thresholds have been revised, and the revised Z1 model has a higher discriminatory correctness rate, and is also more suitable for discriminating the financial risks of China's U.S. stock information technology enterprises at present.
A Comprehensive Evaluation and Comparison of Enhanced Learning Methods
Authors: Song Jintong , Liu Houze , Li Keqin , Tian Jingxiao , Mo Yuhong
Published: April 2024

This paper provides a comprehensive evaluation and comparison of current reinforcement learning methods. By analyzing the strengths and weaknesses of the main methods, such as value function-based, strategy gradient-based, and value and strategy-based methods, the differences in their performances on standard problems and the applicable scenarios are explored. Meanwhile, other methods such as Monte Carlo Tree Search (MCTS) and evolutionary methods are also briefly introduced. Through the research and analysis in this paper, it provides reference and guidance for choosing appropriate reinforcement learning methods, and promotes the development and application of reinforcement learning techniques in practical applications.
Exploring the Ethical Implications of AI-Driven News Production at a Radio and Television Station: Balancing Innovation with Integrity
Authors: Zhao Jingyang , Phakdeephirot Nutteera
Published: April 2024

The objectives of this research/study were (1) to investigate the ethical challenges AI has brought to the news production of Chengdu Radio and television station, (2) to explore how the station balances these challenges and innovation needs, and (3) to understand the regulatory needs and challenges of AI in the media. This quantitative research employed surveys distributed to journalists and other broadcast staff as the research tools. The method of collecting data involved the distribution of surveys to gather views and attitudes towards AI in news production. Survey data were analyzed using a statistics package of social science to identify any patterns or trends. Major Findings/Results: (1) The ethical challenges AI has brought to the news production at Chengdu Radio and television station include issues related to accuracy, bias, and control over content, (2) The station balances these challenges and innovation needs by implementing ethical guidelines, training, and human oversight in AI-driven processes, and (3) Understanding the regulatory needs and challenges of AI in the media is crucial for developing appropriate policies and guidelines for AI integration in newsrooms.
The Cultural Connotation of the Chinese Food
Authors: Li Rui
Published: April 2024

China is a large country with a vast land. There are differences in the climate, products, and customs of different places. For a long time, many flavors have been formed in the diet. In China, there has always been a saying that rice is the main food for people in the south part of china and flour food for north part People, and the taste is divided into several parts, people in the south like sweet dish, salty dish in the north, acid dish in the east and spicy dish in the west.[1] From the perspective of influence, Chinese food culture directly affects Japan, Mongolia, North Korea, South Korea, Thailand, Singapore and other countries, and is the axis of the eastern food culture circle. At the same time, it also indirectly affects Europe, America, Africa and Oceania. For example, China's vegetarian culture, tea culture, sauces and vinegars, pasta, medicated food, ceramic tableware and soybeans all benefit billions of people around the world. In short, China's food culture is the regional culture with characteristics of long-range, wide-view, deep-level, multi-angle and high-quality; it is the development of food sources, food utensils, Food conditioning, nutrition, health care, and diet aesthetics create, accumulate, and influence the physical and spiritual wealth of neighboring countries and the world.
Study on Data-driven Digital New Retail Supply Chain Innovation
Authors: Li Peixuan
Published: April 2024

The innovative development of new retail supply chain driven by data is of great significance to enterprises, which can improve operational efficiency, improve service quality, optimize cost control, strengthen supply chain cooperation and coordination, and promote business model innovation, so that enterprises can maintain competitive advantage in the fierce market competition, to achieve sustainable development. Therefore, enterprises also actively analyze the challenges and opportunities faced by the development of digital new retail supply chain driven by data, and actively take measures to explore innovative strategies for the development of digital new retail supply chain based on their own conditions. Such as strengthening data quality management, strengthening data security protection, improving technical infrastructure, changing organization, cultivate talents, and promoting cooperation among supply chain participants to facilitate the smooth development of the new digital retail supply chain.
The Application of Constructivist Learning Theory to English Reading Teaching of Senior High School
Authors: Chen Weixing
Published: April 2024

With the vigorous implementation of education reform and the widespread implementation of quality education, the role of constructivist learning theory in English teaching, especially English reading teaching, has become increasingly prominent. This paper first learns about the current situation of high school English reading through investigation and research, and the overall low interest and learning motivation of students in English reading, and the low effectiveness of teachers' English reading teaching concepts and methods, and then puts forward the application strategies and methods of constructivist learning theory in high school English reading teaching: stimulating students' reading motivation through heuristic teaching, creating students' reading meaning background through contextual teaching, cultivating students' reading collaboration spirit through cooperative learning, and improving students' reading construction ability through inquiry learning.
Study on Prevention and Countermeasures of Payment and Settlement Risks of Commercial Banks
Authors: Li Zhi
Published: April 2024

The prevention and countermeasures research of commercial banks' payment settlement risks have always been important issues in the financial field. With the rapid development of electronic payments and internet finance, payment settlement risks have increasingly demonstrated diversified and complex characteristics. This paper aims to study the prevention and countermeasures of payment settlement risks in commercial banks to enhance the security and stability of their payment settlement business. Through the analysis of the concept, characteristics, and influencing factors of payment settlement risks, various prevention strategies are discussed. Furthermore, methods and tools for risk assessment and monitoring, as well as optimization and innovation directions for risk management of payment settlement in commercial banks, are explored. This paper aims to provide theoretical support and practical guidance for the management of payment settlement risks in commercial banks.
The Effectiveness of Role-Play Activity in Practicing EFL Learner’s Communicative Skills
Authors: Luo Qingqing
Published: April 2024

The constant development of the world makes the status of communicative skills more and more significant. And the new curriculum standard also emphasizes the cultivation of students' comprehensive language use ability. As a kind of dramatic classroom activity, role-play activity can dramatize the static knowledge of language and culture and transform them into dynamic classroom activities, so that students can experience cultural differences, improve their listening and speaking skills, language organization and creativity, and improve their communicative skills in practice.
Masked Self-Attention Dynamic Imputation Model for Physiological Indicators
Authors: Wu Shaofeng
Published: April 2024

Accurate imputation of missing and outlier values in intraoperative physiological indicators can assist doctors in swiftly taking measures to prevent risks during surgery, which in turn helps improve postoperative prognosis for patients. Traditional data imputation methods have focused too much on the current data itself, neglecting the contextual information provided by surrounding data points. Addressing this issue, the imputation process for intraoperative physiological indicator data obtained through monitoring has been enhanced with a model that employs a self-attention mechanism focusing on the data context for dynamic weighting during imputation. Experimental results indicate that the proposed model achieves a MAE of 2.06%, a RMSE of 7.08%, and a MRE of 2.8%, outperforming other comparative models.
The Application of Traditional Hmong Patterns in Contemporary Ceramic Designs
Authors: Min Anqi
Published: April 2024

China's ethnic minority cultures, with thousands of years of historical past, have exceptionally rich and profound cultural values and material creations. However, given modern society's rapid industrialisation process, these indigenous cultures are frequently marginalization and fail to be widely absorbed into the global mainstream culture. Many traditional designs, decorations, and costumes are currently just emulating the ancient manner. Meanwhile, modern porcelain design emphasizes utilitarian use and the minimalist aesthetics of modernity. What novel sparks could be generated by merging China's distinct traditional cultural aspects with modern design concepts? Exploring how to inherit and innovate these traditions, as well as how to make the perfect integration of modern life and porcelain design, can not only play a unique role in our daily work and living environment, but also promote a deeper "dialogue" between porcelain and its users.
Abrasive Slurry Jet Characteristics Study
Authors: Liu Yang
Published: April 2024

In this paper, a coupled computational fluid dynamics-discrete element (CFD-DEM) approach is used to investigate the performance of abrasive slurry jets. Firstly, the CFD method was used to simulate the VES slurry jet flow characteristics. Secondly, an orthogonal design method was used to analyse the sensitivity of the parameters of zero shear viscosity , relaxation time and flow index of the Cross fluid, in which zero shear viscosity had the most significant effect on the flow field. As the zero-shear viscosity increases, the velocity of the flow field gradually increases, but the core section of the jet becomes less concentrated and the core section of the jet decreases. Based on the VES fluid formulation used in this project, the optimum zero-shear viscosity, relaxation time and flow index were optimised to 2.5 Pa-s, -0.1s and 0.2 respectively. The results showed that the addition of VES surfactant enhanced the erosion rate of the specimens and that the erosion rate increased with increasing OTAC concentration.
The Necessity and Strategy Analysis of Cultural Introduction in Teaching Chinese Reading as a Foreign Language
Authors: Peng Xue
Published: April 2024

Since the reform and opening-up policy, China has undergone an unprecedented transformation, not only economically, but also in education and teaching, particularly in the field of teaching Chinese as a foreign language.Due to the increasing influence of our country in the international community, it has attracted a lot of curiosity from foreigners towards China, so they have started learning Chinese one after another. Of course, learning Chinese is not just about learning a language, the most important thing is to learn more about Chinese culture through learning Chinese, so that they can communicate smoothly with Chinese people. Chinese reading textbooks for foreign students contain a large amount of cultural information about historical figures, customs, geographical knowledge, and other aspects, so reading teaching has become an important channel for foreign students to learn and understand Chinese culture. This article takes cultural introduction as the starting point, analyzes the necessity and strategies of cultural introduction in Chinese reading classes as a foreign language, and provides some useful references for the current situation of teaching Chinese as a foreign language.
Amputated Limbs in the Gaze: The Power and Desire Mechanism of Disabled Performance in Yan Lianke's novel Lenin's Kisses
Authors: Cheng Ran
Published: April 2024

In Yan Lianke's novel, "Lenin's Kisses," the portrayal of disabled individuals through performance holds significant importance. This disabled performance can be interpreted as a form of intense observation where the production of desire and exercise of power intertwine among three key forces: the audience, the disabled actor, and the motivation behind it. Within this power dynamic, amputated limbs are strategically manipulated and presented to capture the attention of able-bodied spectators, resulting in a reciprocal exchange of gazes.