bluuebunny/crossref_metadata_2025 huggingface dataset:
Competition and Cooperation: A Study of the Motivation of China-U.S. Cooperation and Conflict Management in the New Era
Authors: Weng Zidong
Published: December 2023

At present, China and the United States are the world’s largest economies and important international political forces. China-U.S. relations are both driven by cooperation and face certain conflict challenges. On the one hand, the impetus for China-US cooperation comes from their respective economic interests and common global challenges, and China-US trade and investment cooperation has played a positive role in the economic growth and employment of the two countries. On the other hand, there are some potential conflict factors in China-US relations, such as trade friction, military competition, regional strife and other issues, which may lead to the escalation of conflict between China and the U.S. This paper aims to study the motivation of China-US cooperation in the new era as well as how to carry out effective conflict control, so as to put forward some constructive suggestions for competition and cooperation between China and the United States.
Social Media's Construction of Female Image: A Study of Little Red Book APP
Authors: Ye Wenlin , Zhang Zhihan , Zhang Huiyi , Pan Yue
Published: December 2023

The rise and development of new media has brought new opportunities for the promotion of women's right to speak. Social media presents female images in various ways. This article conducts research on the female media image of Little Red Book APP, summarizing five types of female images displayed by Little Red Book, including fashion and beauty experts, lifestylist, emotion and life coach, travel expert, and literary youth. The role of Little Red Book in constructing female images is reflected in three aspects: relying on user groups to promote the diversification of female values, innovating push mechanisms to assist in the presentation of female images, and embedding "her economy" to highlight female images. This has a positive effect on breaking gender stereotypes and expanding women's understanding of their own creativity in the domestic environment.
Research on the Decision-making Mechanism of Digital Transformation of Small and Medium-sized Logistics Enterprises in China based on Evolutionary Game
Authors: Yang Cheng
Published: December 2023

In order to promote the transformation and upgrading of the logistics industry, in response to the problems existing in digital transformation of small and medium -sized logistics companies in China, this article uses the evolution game theory and methods to build a strategic decision model for digital transformation of small and medium -sized logistics companies in the market mechanism and government -driven, respectively and stability analysis of strategic selection. The results show that: direct returns, synergy coefficients and digital product service preferences of consumers have a significant effect on promoting digital transformation of small and medium -sized logistics companies; driven by the government, reasonable transformation direct subsidies and tax preferential efforts are conducive to improving small and medium -sized logistics enterprises The willingness of digital transformation; the effect of multiple policy subsidies is obvious, and the effect of direct subsidies is better.
Analysis of the Effect of Shared Finance Implementation in Yonghui Supermarket
Authors: Yuan Zelin , Zhou Xiufang
Published: December 2023

Some of the retail enterprises in China are still in the traditional business model, and their financial model will not match the scale of operation and financial control ability with the development of the enterprise. Nowadays, the integration of the world economy is developing deeply, and the business between enterprises is complicated, so it is imperative to strengthen the overall control of enterprise finance. There is no doubt about the influence of the shared finance model on the control of corporate financial processes and capital management. Yonghui Supermarket is a large-scale private joint-stock enterprise group cultivated in Fujian Province to promote the transformation of traditional farmers' market to modern distribution mode. Yonghui Supermarket is one of the top 500 enterprises in China and has been honored as a "Famous Trademark of China". Founded in 2001, Yonghui Supermarket is located in Fuzhou City, Fujian Province. Yonghui is one of the first companies in China to introduce fresh agricultural products into modern supermarkets. Yonghui Supermarket Co., Ltd. is a supermarket model that combines community chain stores, specialty stores, and supermarkets as its core business, supplemented by convenience store franchising, and combines food processing and modern agriculture. This case takes Yonghui Supermarket as the research object to explore the shared finance model of retail enterprises and its effects.
Analysis on the Path of Continuous Reconstruction of Urban Villages in Shenzhen from the Perspective of Integration of Industry and City
Authors: Peng Jian
Published: December 2023

As an international metropolis, Shenzhen is grappling with increasingly strained land resources after years of development. At present, the new construction land that can be developed is very scarce, shifted the city into the secondary urbanization stage with the development of stock land as the main factor. As the main source of Shenzhen's stock land, urban village land is of great significance to the construction planning of the integration of industry and city. However, a large number of urban village land managed by community joint-stock cooperative companies involves historical issues, illegal and inefficient use, complicating the secondary development of Shenzhen's stock land. The application of the Theory of Urban Land Value-added Income Distribution reveals a decreasing number of urban village projects meeting the threshold for Urban Renewal. Simultaneously, the commercial return rate of Land Preparation and Interest Coordination is declining, posing challenges to the large-scale continuous transformation of urban villages in Shenzhen. In order to solve the dilemma of urban village reconstruction caused by the complex Dual Land Structure in Shenzhen, based on the analysis of Urban Renewal and Land Preparation Theory, this paper innovatively proposes the mode of "Industrial Preparation + Urban Renewal", which is consistent with the planning basis of the integration of industry and city in Shenzhen. Through the project of "Longhua Meiguan Innovation Corridor Industrial Block", this paper analyses in detail how to coordinate and promote Industrial Preparation and Urban Renewal, how to simplify the process of dealing with the historical issues of land on the basis of respecting historical objective facts, and how to optimize the transformation process to realize the decentralization in the theory and practice of continuous transformation of villages in cities. In this way, the legal land indicators of Urban Renewal and Land Preparation can be complemented, the process of approval and negotiation can be optimized, and the overall development of the project can be increased on the premise of lower legal land indicators, so as to realize the balance of interests among all parties and the overall planning of the integration of industry and city.
Integrating MORS Standards into Tourism Vocational Education: A Case Study from a Chinese Vocational and Technical College
Authors: Bai Lu
Published: December 2023

This study delves into the integration of MORS standards in vocational tourism education at Jiangmen Polytechnic. The research indicates that the incorporation of MORS standards significantly enhances both the quality of education and the professional skills of students. Additionally, through modern apprenticeship pilot programs and other school-enterprise cooperative pathways, the college has extended MORS standards to industry practice, improving service levels in the regional tourism industry. Faced with challenges in resource allocation and teacher training, the college adopted strategies such as increased investment, optimized resource allocation, and organized teacher participation in training. Moreover, considering the differences between MORS standards and the actual industry requirements in Guangdong Province, the college selectively introduced certified occupational standards. These practices not only demonstrate the college's capability in educational innovation and industry adaptation but also offer valuable insights to other vocational and technical colleges, especially in the innovation and improvement of tourism vocational education.
Study on the Realistic Dilemmas and Pathways of Empowering Rural Revitalization with Digital Technology under the Goal of Common Prosperity
Authors: Wang Rui , Li Xiang
Published: December 2023

Realizing common prosperity is the essential requirement of socialism and the fundamental goal of implementing the rural revitalization strategy. The most difficult and arduous task to achieve common prosperity still lies in rural areas. Therefore, the flourishing digital technology has become a key driving force for achieving a prosperous life for farmers and empowering rural revitalization strategies. Based on the goal of common prosperity and the isomorphic unified system of digital rural construction, starting from the five dimensions of digital technology empowering industrial prosperity, effective governance, ecological livability, rural civilization, and affluent life, this paper clarifies the diffusion, spillover, and universal effects of digital technology in promoting the implementation of rural revitalization strategies. At the same time, facing the practical difficulties of incomplete digital infrastructure, insufficient investment in digital construction, lack of institutional guarantee, and lack of digital technology professionals in the process of empowering rural revitalization with digital technology, and attempting to increase the integration of industry and digital technology development, build a digital element support mechanism, and improve the institutional guarantee system for digital rural construction, etc., Propose countermeasures and suggestions for the construction of digital rural areas, stimulate the potential for rural economic development, and promote high-quality rural revitalization and common prosperity.
Research on the Application of Cloud Computing in Enterprise Credit Rating System
Authors: Wu Junli
Published: December 2023

At present, in the context of the "Internet+" era, cloud computing has become the basic equipment in the era of digital economy, and the increasing improvement of the big data ecosystem has laid an important foundation for the development of cloud computing, and cloud computing has also catalyzed the rapid development of big data in the application field. This paper is based on the application of cloud computing to enterprise credit rating system, that is, the collection of enterprise information and behavior information through a distributed platform; The collected data is modeled and verified through the big data mining platform; Provide cloud desktops for credit rating applications through virtualization technology; Through the exploration of credit rating theory and credit rating model development. At the same time, combined with the related technology and theoretical knowledge of cloud computing, a credit rating solution model for cloud computing is found. The cloud computing application of the credit rating system was initially realized through VMware software.
Research on Internal Control Optimization of Geological Team A
Authors: Chen Jin , Zhang Qiyu
Published: December 2023

At present, there are still many areas for improvement in the internal control construction of Geological Team A. The construction of systems, organizations, decision-making, information systems, and other aspects is weak, and the processes of budgeting, revenue and expenditure, procurement, and construction are not standardized. The execution and supervision of internal control are also inadequate, and the effectiveness of internal control is greatly reduced. This has exposed many risks in the business development of Geological Team A, which has long been detrimental to the survival and competition of the unit in the industry. Therefore, this article takes Geological Team A as the research object, based on the framework of "Unit Internal Control Standards", and referring to relevant research on internal control, geological exploration institutions, and internal control of public institutions at home and abroad, analyzes the current situation of internal control of Geological Team A from the unit level and business level, summarizes the problems of internal control, and proposes feasible optimization measures based on the actual situation of the unit, Intended to improve the internal control system of Geological Team A, enhance its comprehensive strength, and provide some reference for the internal control construction of other geological exploration institutions.
A Perspective on the Symptoms and Coping Strategies of College Students’ “Bad” Psychology from the Perspective of New Media
Authors: Yao Mengmeng , Zhang Xiaoxin , Li Xinru , Wang Xiao
Published: December 2023

Under the digital background of new media, the culture of "display" has flooded into people's field of vision in various forms such as words and pictures. Through research on the development of this phenomenon, it has been found that this phenomenon seriously affects the values and ideals and beliefs of college students, and hinders college students from studying. Therefore, we must be based on the social environment, proceed from the reality of college students, propose feasible and substantive solutions from internal and external, subjective and objective perspectives, create an atmosphere of struggle, and guide college students to establish correct values.
Legal Characterization of the Behavior of Following a Car to Evade Tolls
Authors: Zhuo Yiliang
Published: December 2023

With the development and progress of science and technology, high-speed toll payment technology continues to innovate, which not only brings convenience to travel, but also brings new problems. As a result, a large number of toll evasion behaviors have emerged. In view of the frequent toll evasion phenomenon, this article discusses the qualitative issues of toll evasion behavior by combining cases, so as to resolve practical and theoretical disputes. The issue of behavioral crime and non-crime was discussed from the aspects of modesty and criminal illegality of criminal law, and finally it was determined that it constituted a crime. At the same time, we strictly compare the constituent elements of each crime, explore the legal interests protected behind them, and gain insight into the substantive purpose of setting up the crime, so as to correctly distinguish this crime from other crimes. It is also necessary to balance the relationship between punishing crimes and protecting human rights, and when multiple crimes are established, discuss the number of crimes and make an accurate evaluation of the crime. Through the above layer-by-layer analysis, this behavior was finally determined to be a crime of contract fraud, which is of great significance to combating crime and giving full play to the educational role of criminal law. It effectively curbs the occurrence of criminal behavior and is conducive to improving public acceptance and maintaining judicial credibility.
A Comparative Study of Divorce Systems between China and Japan
Authors: Sun Liyan
Published: December 2023

China and Japan are separated by a strip of water and have a long history of exchanging social and cultural systems. There are many similarities and differences between China's Civil Code and Japan's Civil Code in the marriage system. This paper focuses on the divorce system of the two countries and makes a comparative study. While affirming the advantages of China's divorce system, we can learn the advantages of the Japanese divorce system, and, provides positive meaning and function for the perfection of divorce system in China's basic marriage system.
Classification Method for Railway Tunnel Secondary Lining Cold Joint Detection based on CNN-BiLSTM-SVM Model with Improved Hybrid Leader Algorithm
Authors: Zhu Honggu , Wu Jiaye
Published: December 2023

Cold joints pose great safety risks to the safe operation of railways. In view of the existing cold joint detection methods, which have low detection efficiency and difficulty in data analysis, a tunnel secondary lining cold joint detection classification method based on the improved hybrid leader CNN-BiLSTM-SVM model is proposed. First, the Rayleigh wave method is used to extract the waveform information of the cold joints. Secondly, CNN-BILSTM is used to perform feature extraction and fusion processing on the waveform information and then input into the support vector machine, and the improved hybrid leader algorithm is used to optimize the parameters in the SVM. Finally, the information is input into the optimized CNN-BiLSTM-SVM to obtain the cold joints detection classification results. In order to verify the effectiveness of this method, the waveform data collected using the Rayleigh wave method in the tunnel under construction and the verified coring detection results are used as the data set. The results show that the results of this method are higher than the unoptimized CNN-BILSTM-SVM and the CNN-BILSTM-SVM optimized by the seagull optimization algorithm and the sparrow search optimization algorithm.
An Adaptive Multitasking Evolutionary Computation Offloading Algorithm for Mobile Edge Computing
Authors: Hou Yingjie , Wang Zhangang , Liu Xu
Published: December 2023

In the mobile edge computing scenario, intelligent terminal devices can reduce the waiting delay by offloading the computing task to a server. The offloading scheme’s optimization has been proven an NP-hard problem. The heuristic algorithms, including evolutionary algorithms, are widely used to search for the optimal scheme. User experience is mainly limited by energy consumption and time delay. Most existing research results combine it linearly into a single objective or focus on the optimal solution in a specific area. Based on this, this paper proposes an adaptive multitasking evolutionary optimization algorithm, which considers multiple independent areas to be optimized. It abstracts the task offloading system model in each area as a multi-objective programming problem, aiming at minimizing the average energy consumption and delay of intelligent devices. By learning the user distribution and the similarity of tasks to be processed in different areas dynamically to adjust the degree of population communication, the convergence has been sped up. The performance of the proposed algorithm is verified by a set of instances.
Image Emotion Analysis Combining Attention Mechanism and Multi-level Correlation
Authors: Ren Shuxia , Li Simin
Published: December 2023

The development of social network has brought a large amount of image information, and the research on image emotion has gradually attracted wide attention. The current image emotion analysis methods based on multi-level features simply splice the features at each level and then classify the emotions, which not only ignores the correlation between features at different levels, but also ignores the synergistic effect between global features and local features. Therefore, this paper proposes an emotion model (MAML) based on mixed attention and multi-level dependence of images, which uses spatial and channel attention mechanisms to extract local emotion region features of images. Bi-directional Long Short Term Memory network (BiLSTM) is used to establish correlation between multi-level image global features. The experimental results of MAML model on artphoto and abstract data sets prove the validity of MAML model.
DFENet: Double Feature Enhanced Class Agnostic Counting Methods
Authors: Liu Jiakang , Huo Hua
Published: December 2023

Object counting is a basic computer vision task, which can estimate the number of each object in an image, thus providing valuable information. In dense scenes, there are huge differences in target individual scale, and the different target individual scale leads to low accuracy of target count. In addition, most of the existing target count datasets in the field require a lot of manual creation and annotation, which increases the cost and difficulty of the dataset, lack of ease of use and portability. To solve these problems, this paper proposes a class agnostic counting method Double Feature Enhancement Net based on improved Bilinear Matching Network+ (BMNet+). By introducing the feature enhancement module based on the principle of conditional random field and the adaptively spatial feature fusion module, combined with the feature similarity measurement strategy of bilinear matching network, the method can effectively extract the target features of different scales, enhance the adaptability to the targets with large scale changes, and improve the counting performance of the network. Experiments were carried out on FSC-147 data set, and the experimental results show that the proposed model has been further improved in counting accuracy. The MAE and MSE of the verification set are 15.03 and 54.53 respectively. In the test set, MAE reaches 13.65, MSE reaches 89.54, and the counting performance is at the advanced level in the field.
Deep Learning Model Aids Breast Cancer Detection
Authors: Zhang Quan , Cai Guoqing , Cai Meiqing , Qian Jili , Song Tianbo
Published: December 2023

Breast cancer, a lumpy nodule or granular calcified tissue caused by cancerous changes in chest tissue, has become one of the most prevalent cancers. Due to the location and structure of the tumor, it can be detected directly by ultrasound or X-ray and is less likely to spread to other parts of the body than tumors in other parts of the body. Considering the huge number of sick people, the resources required for a full census would be enormous, but thanks to the rapid development of medical image processing technology in recent years, assisted diagnosis through deep learning models has gradually become more widely accepted. For detection models, higher accuracy means lower misdiagnosis rates and timely treatment for patients. Therefore, in this paper, we first specify the diagnose as a binary classification problem and then introduce a new pooling scheme and training method to achieve better results compared to the traditional network backbone in the past.
Research on the Market Development of Mongolian-Themed Films
Authors: Zhang Yating
Published: December 2023

This study aims to explore the market development of Mongolian-themed films and put forward corresponding strategies and suggestions. By analyzing the current situation and problems of the Mongolian-themed film market, combined with the development trends of domestic and foreign film markets, we study key issues such as the commercial operation mechanism, market support, and marketing of Mongolian-themed films. In the process of market development, Mongolian-themed films face challenges such as insufficient financial support, poor marketing promotion, and limited distribution channels. In order to promote the market-oriented development of Mongolian-themed films, diversified publicity and promotion strategies, strengthening market support, and optimizing commercial operation mechanisms are needed.
PCB Board Defect Detection Method based on Improved YOLOv8
Authors: Liu Chang , Zhou Xiangyang , Li Jun , Ran Chuantao
Published: December 2023

This study provides an improved YOLOv8-based printed circuit board (PCB) defect identification method to address the current challenges associated with PCB defect detection, including the detection of small targets, low accuracy, and other related concerns. The YOLOv8 model serves as the foundational framework, and in order to enhance detection speed, the YOLOv8s model is selected due to its reduced parameter count. However, feature extraction becomes challenging for small target defects; to address this, the CA attention mechanism is implemented, which is more attuned to target feature information and aids in feature extraction. As indicated by the experimental findings, the enhanced YOLOv8s-CA algorithm model has the following characteristics: a footprint of 5.79 MB, a mean average precision (mAP) of 90.4 percent, an increase of 6.6 percent over the initial network, and a parameter count augmentation of merely 0.007M. Consequently, this model finds utility in compact industrial inspection apparatus and possesses a wide range of potential applications.
Research on the Application of Non-contact Sensing Technology in Real-time Emotional Monitoring and Feedback
Authors: Zhang Lehan
Published: December 2023

With the rapid development of information technology, non-contact sensing technology has shown great potential in the field of real-time emotional monitoring and feedback. The purpose of this study is to deeply explore the application of this technology in improving the intelligence of human-computer interaction and realizing personalized service. By synthesizing the experimental results and related literature, a series of important research findings have been formed. First of all, we found that non-contact sensing technology effectively improved the objectivity of emotion monitoring. Secondly, the introduction of real-time feedback mechanism has significantly improved the user experience. However, non-contact sensing technology still faces some challenges in practical application, including privacy issues, cross-cultural adaptability, environmental interference and so on. To solve these problems, technological innovation, the establishment and standardization of privacy policies are needed to ensure the sustainable application of technology in a wider range of fields. This study emphasizes the importance and application prospect of non-contact sensing technology in real-time emotional monitoring and feedback. Future research should focus on the further innovation of technology, the improvement of privacy protection mechanism and the deepening of interdisciplinary cooperation, so as to promote the wider application of this technology in the field of human-computer interaction.
Hardware Accelerated Optimization of Deep Learning Model on Artificial Intelligence Chip
Authors: Chen Zhimei
Published: December 2023

With the rapid development of deep learning technology, the demand for computing resources is increasing, and the accelerated optimization of hardware on artificial intelligence (AI) chip has become one of the key ways to solve this challenge. This paper aims to explore the hardware acceleration optimization strategy of deep learning model on AI chip to improve the training and inference performance of the model. In this paper, the method and practice of optimizing deep learning model on AI chip are deeply analyzed by comprehensively considering the hardware characteristics such as parallel processing ability, energy-efficient computing, neural network accelerator, flexibility and programmability, high integration and heterogeneous computing structure. By designing and implementing an efficient convolution accelerator, the computational efficiency of the model is improved. The introduction of energy-efficient computing effectively reduces energy consumption, which provides feasibility for the practical application of mobile devices and embedded systems. At the same time, the optimization design of neural network accelerator becomes the core of hardware acceleration, and deep learning calculation such as convolution and matrix operation are accelerated through special hardware structure, which provides strong support for the real-time performance of the model. By analyzing the actual application cases of hardware accelerated optimization in different application scenarios, this paper highlights the key role of hardware accelerated optimization in improving the performance of deep learning model. Hardware accelerated optimization not only improves the computing efficiency, but also provides efficient and intelligent computing support for AI applications in different fields.
The Relationship between Social Responsibility and Brand Value of Chinese Food and Beverage Enterprises in the Context of High-Quality Development
Authors: Ye Anning , Zhang Min
Published: December 2023

This article constructs a corporate social responsibility indicator system and conducts regression analysis on the relationship between food and beverage enterprises fulfilling social responsibility and enhancing brand value. Research has found that food and beverage companies have a significant positive impact on brand value enhancement when fulfilling social responsibilities to shareholders, suppliers, and governments; The fulfillment of social responsibility towards employees, creditors, and consumers does not have a significant impact on brand value enhancement; The overall completion of social responsibility by food and beverage enterprises has a significant positive impact on enhancing brand value. Among them, the feedback of employees, creditors, and consumers on the fulfillment of corporate social responsibility is not easy to fully measure, and they belong to anonymous beneficiaries, whose impact on brand value also shows a hidden nature. The social responsibilities undertaken by different types of enterprises vary greatly. Therefore, this article introduces the moderating variable of enterprise type to conduct heterogeneity analysis and verify that enterprise type plays a positive promoting role in the relationship between food and beverage enterprises fulfilling social responsibility and enhancing brand value.
SC-UneXt: Nested UNeXt Architecture based on Medical Image Segmentation
Authors: Wen Lei
Published: December 2023

UNet and its various variants are commonly used methods in medical image segmentation tasks; however, many network parameters, complex calculations, and slow usage are problems that need to be overcome. These problems hinder the specific application of fast image segmentation in real-time tasks. At the same time, the lesion area has problems such as small size, irregular shape, and blurred edges, which makes the network feature extraction difficult and the segmentation accuracy needs to be improved. At the same time, medical image segmentation provides a variety of effective methods for the accuracy and robustness of organ segmentation, lesion detection, and classification. Medical images have fixed structures, simple semantics, and diverse details, so integrating rich multi-scale features can improve segmentation accuracy. Given that the density of diseased tissue may be comparable to that of surrounding normal tissue, both global and local information are crucial to segmentation results. To this end, we propose an image segmentation method (SC -UNe X t) based on edge feature extraction and multi-scale feature fusion of convolutional multi-layer perceptron (MLP). The network is a deeply supervised encoder-decoder network, in which the encoder and decoder pass through a series of nested, multiple jump paths to reduce the semantic gap between the feature maps of the encoder and decoder sub-networks.; Multi - scale feature fusion is introduced based on the UNe Finally, we evaluate our model approach on the LIDC dataset public dataset. Experiments have proven the effectiveness of this method. Our model's similarity coefficient and intersection ratio reached 86.44% and 90.86% respectively. Compared with UNet and UNe X t, the network proposed in this article has improved in accuracy, intersection ratio of real values and predicted values, similarity coefficient, and segmentation effect.
Research on Establishing Inbound Strategies for Supermarkets based on LSTM and Gaussian Process Regression Modeling
Authors: Weng Wei , Lin Yifu , Wu Jiawei
Published: December 2023

This paper provides an in-depth study on the challenges of vegetable merchandising in fresh produce supermarkets, aiming to provide a comprehensive set of management strategies to optimize supermarket operations. First, the sales volume and sales of six types of vegetables were analyzed by descriptive statistics and the cyclical trend was explored by time series processing; second, good correlations between edibles and aquatic roots and tubers as well as edibles and eggplants were found by plotting correlation matrices and heat maps of Spearman's coefficients. Next, this paper analyzed the relationship between cost-plus pricing and total sales and predicted the total replenishment and pricing of vegetables in the coming week using an LSTM time series forecasting model and evaluated the model performance using root mean square error (RMSE). Finally, a Gaussian regression model was used to predict a small sample of data to develop an optimal replenishment volume and pricing strategy for the superstore, which maximized the superstore's revenue. The results of the study show that the inventory management efficiency of fresh supermarkets can be effectively improved by these methods.
Exploration of Teaching Reform of Information Technology Fundamentals Course in Vocational Colleges based on Blended Teaching
Authors: Chen Yanbin
Published: December 2023

"Fundamentals of Information Technology" is a fundamental course in vocational colleges, mainly aimed at cultivating students' information technology application skills, sustainable development professional literacy and abilities. Traditional classroom teaching is no longer able to meet the personalized learning needs of students, and its effectiveness in improving their practical skills is not significant. This article analyzes the current situation of traditional teaching in this course and proposes a curriculum teaching reform strategy based on blended learning mode. In response to the strong hands-on ability of vocational college students, a combination of online preview by students before class and offline Q&A by classroom teachers is mainly adopted to guide students in independent exploratory learning, and process evaluation and assessment are adopted to form a student-centered classroom teaching method, allowing students to participate in the entire process of classroom teaching. While enhancing students' learning enthusiasm and initiative, it effectively enhances their computer practical skills.
Eye Movement on Predicting Serve Return of College Female Tennis Players of Different Levels in Henan Province
Authors: Li Jingang
Published: December 2023

Objective: To quantitatively evaluate the influence of sports level on the behavioral indexes and eye movement indexes of female tennis players by independent sample T test analysis, and to provide strategic basis for visual search of athletes. Methods: In this study, 20 female tennis players from colleges and universities in Henan Province were randomly selected as professional group, and 20 female tennis students from colleges and universities in Henan Province were randomly selected as amateur group. All the tested players had normal vision (5.0 after correction), healthy body, and were right-handed racket holding players. The experiment was conducted to compare the two groups of subjects' prediction accuracy rate, reaction time, total number of effective gaze, gaze track and interest area and other eye movement characteristics when watching videos. Results: The professional group had shorter reaction time, and the correct rate was obviously higher than the amateur group. The total effective fixation point of the professional group was more than that of the amateur group, and the professional group could focus more information. The professional group had a mature grasp of cognitive processing strategies, and their visual search times were targeted; Athletes in the professional group can allocate more attention to the key areas of interest that affect the serve landing point, and highly focus on the interest areas directly related to the direction of the serve, so that they can search information more accurately and improve the accuracy of the prediction.
Analysis of the Similarities and Differences between The Assassin Nie Yinniang and the New Taiwanese Films
Authors: Zhao Wenyuan
Published: December 2023

Director Hou Hsiao-Hsien's film The Assassin Nie Yinniang diverges from the conventions of the New Taiwanese Cinema movement, blending black and white with color tones to reflect the emotional and thematic nuances of its protagonist, Nie Yinniang. stands apart from typical martial arts films by de-emphasizing elaborate combat scenes and instead focusing on ambiance and an exploration of loneliness. The film depicts a journey of conflicting ideologies between righteousness and personal emotions, as Nie Yinniang transitions from an assassin adhering to Taoist teachings to a woman entangled in familial affections and personal values. While the film maintains technical elements and filming techniques characteristic of the New Taiwanese Cinema, its thematic divergence focusing on individual subjective expression sets it apart. Unlike the movement's societal reflections, the film delves into personal narrative, exploring the internal conflict of its central character amidst cultural and familial ties. The Assassin Nie Yinniang thereby embodies a unique departure from the thematic trajectory of the New Taiwanese Cinema while maintaining some of its stylistic elements.
Research on the Effective Methods of Pilates for Ballerinas to Enhance "Core Muscle Group"
Authors: Wang Anran
Published: December 2023

Pilates is an emphasis on coordinate core muscle group control of the whole body movement, in the process of long-term development, gradually found pilates can be combined with ballet basic training, form of ballet dancer body and promote the development of it can improve ballet dancer's body quality, enhance the capacity of technical skills, is the important supplement of gihon ballet teaching. In the teaching method of classical ballet, it is pointed out that ballet is an art that strives to get rid of gravity more than other types of dance. In maintaining the balance and stability of the body in the dance, ballet dancers have more formidable challenges. Ballet movements are mostly centered on the "core". The strong core muscles can help the ballet dancer better control the stability, speed and balance of the body. Therefore, it is necessary to carry on the core strength auxiliary training. In this paper, the training methods of pilates are summarized and sorted out. The function of pilates on the core of ballet dancers will be analyzed from its training methods, and the advantages of pilates in the core training of ballet dance will be analyzed, so as to make ballet training more scientific and efficient.
Comparison between Taiwan Hakka Music and Meizhou Hakka Music
Authors: Li Jingyi
Published: December 2023

By analysing the differences and commonalities between Hakka music in Taiwan and Hakka music in Meizhou, the musical forms, tunes, lyrical themes, and singing styles, as well as the inheritance and innovation of the two, are analysed in depth. These findings allow for a better understanding of the development trajectories of these two types of Hakka music in different geographical and cultural contexts. The results help deepen the knowledge of Hakka cultural diversity and provide valuable references for cultural preservation, inheritance, and development. Despite some limitations of the study, it provides a basis for future research to explore Hakka music in depth.
From Spectator to Participant: How New Media Ignites the Innovative Potential of Public Design Participation
Authors: Chen Shanshan
Published: December 2023

In the age of new media, the boundaries between content creators and consumers have blurred, allowing for an unprecedented level of public participation in design. This paper delves into the transformative power of new media platforms and tools that have reshaped the landscape of design, moving from a traditionally passive audience to an active and engaged public body. Through an exploration of case studies and emerging trends, we highlight the innovative potential unlocked when the public is actively involved in design processes. While the benefits are manifold, challenges related to quality control and the balance between professional and public input are also discussed. Embracing these changes, understanding the dynamic nature of design in the new media era, and harnessing the collective power of the public will pave the way for more inclusive, innovative, and forward-thinking design solutions.
On the Yangqin Accompaniment in Shaanxi Opera
Authors: Wu Lin
Published: December 2023

In Qinqiang Orchestra, dulcimer is often used as an accompaniment instrument to perform. Because of its beautiful tone quality, wide range and because of its beautiful tone quality, wide range, and powerful dual coordination function, it occupies an important position in the performance of Qinqiang Opera. This study will focus on dulcimer This study will focus on dulcimer coordination and discuss how to use this coordination to improve the effect of Qin opera. Through in-depth exploration of the ancient Qinqiang culture Through in-depth exploration of the ancient Qinqiang culture and interpretation of different types of classical works, we can better appreciate and understand the unique charm and essence of these works, and provide more inspiration and inspiration for their singing.
Research on the Strategy of LED Light Interaction Mode-Based on the Five Senses Experience
Authors: Shen Yuhan
Published: December 2023

LED is a newly emerging light-emitting diode lamp, because of its low energy consumption and long life and other advantages to become the ideal choice of lamp type. In recent years, LED has developed at an amazing speed and has been widely used in various fields of human life. This paper adheres to the concept of human-oriented, based on the theory of five senses experience, analyzes the current development status of LED lamps, as well as its specific applications in a variety of life scenarios, and summarizes and refines the strategy of human-computer interaction mode of LED lamps based on the five senses experience on the basis of the five senses experience; through the study of the five senses experience to enhance the application of LED lamps in the design of human-computer interaction and to improve the emotional communication between people and works, and to design the human-computer interaction mode of LED lamps for the purpose of the human-computer interaction. The research on five senses experience will enhance the application of LED lamps in human-computer interaction design, improve the emotional communication between people and works, and provide more ideas for the design of LED lamp human-computer interaction.
Research on Illustration Design Strategies based on Visual Narrative
Authors: Feng Ye
Published: December 2023

Based on the theory of visual narrative, explore innovative ideas for Cantonese culture-themed illustrations to help spread Cantonese culture. Analyze the creative themes and existing problems of illustrations, grasp the inner connection between material, behavioral and spiritual levels in the themes, and reflect the unity of narrative connotation and visual presentation. From six aspects: mining narrative content, determining narrative method, constructing narrative grid, extracting visual elements, establishing picture content, and giving narrative meaning, a design strategy for  Cantonese cultural themed illustrations based on visual narrative is proposed to promote the interaction between viewers and illustrations. Visual connections, associative thinking and spiritual resonance. Integrating visual narrative strategies into Cantonese cultural themed illustrations can improve the communication efficiency of Cantonese cultural themed illustrations and better promote and spread positive social energy and sense of responsibility to the public.
Study on the Digital Design of Macau Native Portuguese Women's Clothing in a Metacosmic Perspective
Authors: Qi Yang
Published: December 2023

This paper studies the digital design of Macau native Portuguese women's costumes from the perspective of meta-universe. Firstly, it explains the current development of Macau native Portuguese women's costumes and the necessity of digital design, secondly, it analyzes the feasibility of the digital design of Macau native Portuguese women's costumes on this basis, and proposes the innovative application of digital technology in digital design of costumes, and finally, it concludes the application methodology of digital design of costumes in the meta-universe, with a view to effectively combining the costumes and modern digitalization to give them new vitality, and to contribute to the cultural inheritance, design and cultural and creative industries of Macau's costumes. Finally, it concludes the application method of clothing digitalization design in the meta-universe, in order to effectively combine Macau native Portuguese women's clothing with modern digitization and give it new vitality, so as to provide reference for the inheritance of Macau's clothing culture and the development of design and cultural and creative industries.
Study on the Realities of the Life of Boudoir Painters in the Background of Late Ming Feudalism
Authors: Sun Yuxi
Published: December 2023

The Late Ming Dynasty was a period of unprecedented development for women's painting in ancient times, which surpassed all previous generations of women painters in terms of the number of painters and the number of paintings, especially in terms of the language and form of paintings. women painters. As a representative of the late Ming boudoir painters, Wen Chuan's paintings superficially depict a picture of the "small world" of daily life, but hidden behind her "small world" is her conscious creative attitude and keen gender awareness in the context of the feudal society of the late Ming. However, behind her "small world" is her more conscious creative attitude and keen gender awareness in the context of the late Ming feudal society. In this paper, we focus on aesthetics, sociology, and art history from an interdisciplinary perspective to explore the real life and social status of Wen Hsiun in the context of the late Ming feudal society.
Research on the Dissemination and Inheritance of Bengbu Flower Drum Lantern in the Age of Melting Media
Authors: Wu Meijuan , Liu Dan
Published: December 2023

At present, the development of integrated media communication has brought great benefits for the innovative communication of intangible cultural heritage, and also brought great opportunities for the communication of Bengbu Flower Drum Lantern. The dissemination and promotion of Bengbu Flower Drum Lantern under the environment of integrated media need to rely on diversified ways and means, make full use of the advantages of integrated media, enhance the exposure of the Flower Drum Lantern, and form a sustained dissemination effectiveness, which not only provides reference for the inheritance and promotion of intangible cultural heritage of Flower Drum Lantern, but also brings inspiration to the shaping of the urban image and cultural dissemination of the whole city of Bengbu.