bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coordination analysis of layout and visual color difference in responsive web design based on PS software
Authors: Yao Yuxian 
Published: June 2024

Abstract
In the new era of the “Internet +” economic background, people's aesthetic standards continue to improve, and there are higher requirements for web design work. This paper is based on the Bootstrap framework to design responsive web pages and utilizes the grid system in the Bootstrap framework to enable the automatic layout of web pages. Then PS software technology is applied as the core technology in responsive web page design, and PS software is used to detect and adjust the optimization of responsive web page layout and visual chromatic aberration so as to present users with coordinated, beautiful, and easy-to-operate responsive web pages. By designing eye movement experiments to collect and analyze the eye movement data of the subjects when browsing web pages, the average pupil diameter of the users showed a significant difference in browsing different web pages (P=0.014<0.05). The web pages designed by PS software were more appealing to the users and increased their interest in browsing web pages. The results of the psychological level showed that the subject users found the web pages created by applying PS software more impressive than ordinary web pages (P=0.004<0.01). This paper provides a useful guide for web page designers to enhance the visual experience for users when browsing web pages.
Design and development of human-computer interactive multimedia application software based on Python language
Authors: Yao Yuxian 
Published: June 2024

Abstract
Interactive multimedia systems have been widely used because of their good interactivity and flexible operation. In this paper, a support platform for human-computer interactive media applications is designed based on the three-layer model, which provides an efficient multimedia-oriented communication mechanism and a convenient development interface for application developers. The M/M/1 queue model is established by considering the load of nodes and links, and the average delay for error repair of the SRM and TORM protocols is calculated. Finally, the interactive performance of multimedia applications is examined through the construction of an experimental platform. The experimental results show that the interaction probability of selecting the distance range of 800~1200 mm is greater. The selection probability is more than 12.45%, and the interaction scenario built by Python language can effectively improve the interaction performance of multimedia applications.
Exploring the Application of Financial Indicator Prediction Models in Optimizing Tax Burden
Authors: Zhang Guojie 
Published: June 2024

Abstract
As economic globalization progresses unceasingly, the financial activities of enterprises are increasingly complex, paralleled by a concomitant increase in the intricacy of tax laws and regulations. Consequently, the tax risks faced by enterprises are becoming more pronounced. To predict the financial status of enterprises, a logistic regression model is created by combining relevant financial indicators. Considering the large amount of enterprise financial sample data, a Lasso-Logistic regression model is constructed, and the ADMM algorithm optimizes the model to improve the model's prediction accuracy. Finally, after using the ROC curve to test the validity of the constructed financial index prediction model, the A-share listed companies in the advanced manufacturing industry are taken as the research object of empirical analysis to analyze the relationship between the impact of financial indexes on tax burden. The regression equation for the standardization of tax burden is tax risk = -0.02341+0.03572 VAT effective tax burden +0.15451 income tax effective tax burden +0.21118 current ratio -0.26875 total asset turnover +0.06574 current sales revenue +0.02432 current cost of goods sold +0.13681 gearing ratio + 0.23708 Fixed Assets Change Ratio - 0.26895 Asset Size. Based on the analysis results, this paper proposes three optimization strategies for tax burden.
Analysis of the Sharing Mode and Effectiveness of Urban Community Sports Microgovernance in the Context of the New Era
Authors: Zhang Qian 
Published: June 2024

Abstract
Urban community sports microgovernance is an important support to promote a higher level of public service system for national fitness. The study first analyzes the sharing mode of urban community sports microgovernance, selects evaluation indicators of urban community sports microgovernance efficacy from multidimensional aspects, collects relevant indicator data from 10 communities in a city, and then conducts factor analysis and assessment of sports microgovernance efficacy by using the principal component analysis method. On this basis, the influencing factors of sports microgovernance effectiveness enhancement are summarized, and a qualitative comparison method is used to obtain the enhancement path of community sports microgovernance effectiveness. After analysis, the overall performance of sports microgovernance efficacy in the sample communities is better, with 60% of the communities having a standardized score above 0.5, and the best performance of sports microgovernance efficacy in community C2, with a score of 0.695. 5 sports microgovernance efficacy enhancement paths were obtained from the group analysis, which can explain 92.6% of the cases. Among them, sports governance standardization and enhancement of sports microgovernance effectiveness are necessary. Relevant departments need to grasp the core of sports governance standardization, promote multi-dimensional common governance and intelligent services, and make up the supply of venues and facilities to encourage the effective enhancement of community sports micro-governance efficacy.
The Intersection of Linguistics and Information Technology in the Global Communication of Martial Arts Culture
Authors: Zhang Zhiying , Ma Haipeng 
Published: June 2024

Abstract
In the course of global dissemination, Wushu culture encounters numerous linguistic challenges that significantly impede the translation quality and dissemination efficacy of its content. These challenges include terminology barriers, cultural heterogeneity, linguistic style conventions, and audience applicability. This paper initially explores the representation of natural language within computational systems and examines the foundational frameworks of language models. Subsequently, we algorithmically model the basic architecture of neural machine translation and text feature extraction. To address the gradient error issue in backpropagation, we employ the Long Short-Term Memory (LSTM) algorithm. Furthermore, we construct a neural machine translation model that incorporates an enhanced attention mechanism within the LSTM framework. To refine this model, we implement data augmentation techniques, aiming to optimize performance and improve translation accuracy in the context of Wushu's multifaceted linguistic landscape. On this basis, the translation effect of martial arts content is tested and simultaneously used to retranslate 40 pieces of the hottest overseas martial arts culture content. The quality of the translated text before and after retranslation is analyzed to analyze the enhancement effect of the model on the impact of the global dissemination of martial arts culture. It is found that the model in this paper has the best performance in both directions of English-to-Chinese and Chinese-to-English translation, with precision and recall scores of (0.908,0.876) and (0.915,0.922), and F1 values of 0.869 and 0.844, which make the performance stable. In the retranslation and translation quality test of popular martial arts video content, compared with the total penalty score of 1013.7 points before retranslation, the penalty score of the sample after retranslation totaled 246.2 points, a significant drop of 767.5 points, and this paper's model has a substantial effect on the retranslation of martial arts content. This study presents research ideas and practical methods from the perspective of information technology to enhance the global communication capabilities of martial arts culture and establish the international influence of Chinese culture.
Dance movement error correction based on decision tree algorithm
Authors: Yang Li 
Published: June 2024

Abstract
In an environment where action recognition technology is widely used, dance action recognition technology has also received extensive attention. Due to the complexity of dance movements, there will be a large number of errors in dance movement recognition. Therefore, this paper uses the decision tree algorithm to optimize dance movement recognition. In this paper, the general framework of dance movement recognition is first constructed, and the human body features are extracted and calculated by using the Laban motion analysis method for the changes in the joints of dance movements. Then, use the decision tree algorithm to classify and identify the dance movements, and use it to optimize the self-obscuring motion information repair algorithm to solve the problem of dance movement occlusion and error, and complete the construction of the dance movement recognition model based on CNN network. Empirical analysis shows that the model method's Top-1 and Top-5 accuracy are both 84.7% and 89.32%, respectively. The average probability of incorrect recognition, error recognition, and correct recognition of the optimized dance action recognition in this paper is 8.84%, 3.78 and 87.38 respectively. The average recognition correctness is improved by 12.02%, which indicates that the effect of recognition of the optimized model of dance action masking and error correction in this paper is excellent. It has achieved a better construction in the field of dance action error correction.
Research on the Construction of Vocal Music Teaching Resources Integration and Sharing Platform in Colleges and Universities under the Background of Modern Science and Technology
Authors: Jin Yuqi 
Published: June 2024

Abstract
The construction of the teaching resources sharing platform provides high-quality teaching resource retrieval and browsing channels for teachers and students in schools and the majority of off-campus users. This paper combines the functional objectives of the sharing platform design, analyzes the functional requirements of the sharing platform, and designs the overall functional framework of the platform with the advantage of cloud platform technology architecture. Gagne's classification theory of learning results is used to categorize vocal music teaching resources. Blockchain copyright protection technology has been selected to manage the digital resources of vocal music and optimize the privacy protection of users and resource copyright information. Design a user-friendly interface, update the learning interest model using the user interest model, form a personalized recommendation model based on students’ learning interests, and design a sharing scheme for vocal music teaching resources. Test the response performance of blockchain copyright protection and analyze the service impact of a college vocal music teaching resource-sharing platform from the perspective of learning support service. Most of the students have learning communities in the learning process, and the learning communities give the learners a “common identity” and emotional support services so as to achieve the purpose of the construction of a college vocal music teaching resources sharing platform.
A cross-enterprise collaborative production scheduling decision support algorithm with multi-agent support
Authors: Chen Lili , Yang Jianbing 
Published: June 2024

Abstract
This study harnesses the capabilities of intelligent agent technology to develop a framework for cross-enterprise collaborative production scheduling decision-making. It conducts a comprehensive examination of the business processes and production scheduling decisions encapsulated within this framework. The research begins by pinpointing the challenges inherent in cross-enterprise collaborative production scheduling. Subsequently, it introduces a genetic algorithm tailored for agent-based decision-making in this context and delineates its algorithmic parameters. The effectiveness of this approach is validated through a series of simulation experiments focused on a case study of cross-enterprise collaborative production scheduling from an agent-oriented perspective. The findings indicate that implementing the agent structure and genetic algorithms in a scenario involving ten workpieces and ten machines (10×10) results in a new job reach time of 30, a workshop load of 0.5338, and an average reduction in scheduling time of 11.60%. These results underscore the efficacy of the proposed agent structure and genetic algorithms in enhancing decision support for cross-enterprise collaborative production scheduling, thereby laying a scientific foundation for achieving heightened production efficiency through intelligent agent technology.
An Exploratory Study of Professional Issues Based on the Pain Points of Teaching Modular Projects
Authors: Cui Xing 
Published: June 2024

Abstract
The modular teaching mode has been introduced into many disciplines, especially in higher education, computer education, and other skill-based disciplines. The modular teaching mode is more widely used. Based on the modularization project, this paper explores the pain points in teaching, starting from the principle of modularization project teaching and listing the advantages of modularization project teaching. Based on the principle of modular project teaching, a diagnostic model for teaching pain points is proposed. The K-means algorithm is used to construct a student learning profile, analyze the students’ learning pain points, and design a modular project teaching model to address these pain points. Through experimental analysis, we verify the effect of the model on teaching pain point problems. The experimental class saw a rise in student performance from 104 to 110 points. The pre-and post-test academic performance of the experimental class is significantly different at the 0.05 level, as indicated by the significant difference of 0.001. In the case of improving learning interest, close to 70% of the students expressed greater interest in learning after learning from the teaching model proposed in this paper.
Exploration and Optimization of the Mode of Talent Cultivation for Industry-Teaching Integration in Higher Vocational Education in the Context of Information Technology
Authors: Deng Hao , Chai Deyi 
Published: June 2024

Abstract
This paper adopts the questionnaire survey method and fsQCA analysis method to carry out the empirical analysis about the path of talent cultivation of industry-teaching integration in higher vocational education. Through structural equation modeling to sort out the play mechanism and value realization status quo of applied industry-teaching integration talent cultivation, and accordingly put forward the realization path of the value of applied industry-teaching integration talent cultivation. After analysis, it can be seen that five efficient paths of industry-teaching integration talent cultivation are identified, among which the original coverage of Path 3 is 0.40604, indicating that the current way of industry-teaching integration talent cultivation is still dominated by large enterprises as well as application-oriented. The training content, conditions, and methods of industry-teaching integration have a significant impact on vocational abilities and personality qualities. The degree of influence of applied industry-teaching integration on professional knowledge and skills is between 52.1% and 67.8%, and the degree of influence on quality aspects, such as interpersonal skills, is between 74.9% and 86.3%. Therefore, the findings of this paper can provide a feasible path for enhancing talent through industry-teaching integration in higher vocational colleges and enterprises.
The Path of Integrating Traditional Music Culture into Piano Playing Teaching in the Background of Internet
Authors: Ding Wei 
Published: June 2024

Abstract
This paper proposes two primary pathways for online teaching and virtual music classrooms constructed using virtual reality technology and establishes a corresponding technical framework. In the online teaching mode, an online teaching platform is built, and an improved genetic algorithm is proposed for the intelligent grouping problem, which introduces the individual similarity elimination operation and incorporates simulated annealing to solve the problem of insufficient search capability. Meanwhile, in order to build a virtual music classroom, a dynamic light projection algorithm is proposed to reconstruct a three-dimensional model of human movement, and a multi-feature fusion algorithm is used to match the weights assigned to the human body's action gestures. In the evaluation of the teaching effect of the application of the technology framework, the piano art students are taken as the research object, and the experimental class and the control class are set up to carry out the teaching practice. In the evaluation of the learning effect, the completion degree of music and artistic performance of students in the experimental class was 83.65 and 82.66, which was significantly better than that of the control class (P<0.05). The overall degree of cognition, emotional attitude, and value recognition of traditional music culture was also significantly better than that of the control class (P<0.05).
Design and Application of Intelligent Library Intelligence Authentication System Based on Information Entropy Early Warning Models
Authors: Ji Ying 
Published: June 2024

Abstract
Identifying the authenticity of library intelligence has consistently posed a significant challenge in intelligence management. This paper aims to optimize the D-S evidence theory to address the issues of uncertainty, imprecision, and high conflict in library intelligence evidence fusion. To achieve this, DSmT is employed to extend the D-S evidence theory by eliminating the process of assigning conflicting information with normalization coefficients. Then, through the fuzzy information pseudo-feature analysis method, the library intelligent intelligence information entropy feature quantity is extracted, and semantic feature matching is used to construct the library intelligent intelligence true and false information recognition system. Finally, the recognition performance of the system is examined using a dataset to analyze the intelligence authenticity recognition of mis-spliced bacterial colony genomic data from a biological experiment that has been entered into the library intelligence database. Finally, it was found that the average recognition rate of this paper's system in the four classical datasets is 96.57%, which is higher than the 89.61% and 90.02% of the two evidence fusion classification schemes. The results of this paper's algorithm for high-conflict evidence are 0.9506, 0.0558, and 0.0097, reflecting the accuracy of the evidence support results. Finally, 35 colony genome splicing error intelligence were identified, of which 32 were genuine errors, with a precision rate of 91% and a recall rate of 94%. The library intelligence authenticity recognition system designed in this paper has excellent performance and provides an effective path and usable algorithmic model for library intelligence authentication.
Construction and Sharing Mechanism of Digital Vocal Music Teaching Resource Library
Authors: Kou Tingting 
Published: June 2024

Abstract
With the rapid development of information technology, the construction and sharing mechanism of the teaching resource base has become an important means of informatization of vocal music education. The article proposes the construction and sharing of a personalized teaching resource system based on a collaborative filtering recommendation algorithm, constructs a personalized recommendation module through the study of collaborative filtering, and further improves the personalized recommendation algorithm. Then, it elaborates on the relevant contents of user interest modeling, records and manages the user's interest, describes the user's potential interest needs, records the user's behavior by building a model, and finally analyzes the application of the teaching resource library. When the boundary value of request concurrency does not exceed 1000, the response time of the teaching resource library page is no more than 2.5 seconds. When the teaching resource library is used to process a file of 100MB size, the upload speed of the WebSocket method is 153s faster than FancyUpload. More than 70% of the students think that the use of the teaching resource library in the vocal music class can greatly enhance the effect of vocal music learning.
Research on Innovative Ways to Integrate Digital Media into the Development of Cultural and Creative Industries in Shanxi Province
Authors: Li Min 
Published: June 2024

Abstract
Cultural and creative industries are increasingly recognized as vital sectors in today’s global economy, and the advent of digital media has ushered in new avenues for enhanced development. This study explores the relationship between digital media technology and the progression of cultural and creative industries, with a specific focus on Shanxi. Utilizing the scale reward invariant BCC model within the DEA framework, this research assesses the developmental efficiency of Shanxi’s cultural and creative sectors. It identifies various decision-making units as benchmarks for the industry’s development, evaluating their comprehensive efficiency, pure technical efficiency, and scale efficiency, and proposes strategies for optimizing input and output metrics. Furthermore, the integration of the Tobit regression model with digital media technology allows for an analysis of the latter’s impact on the developmental efficiency of these industries in Shanxi. The findings reveal that the comprehensive efficiency of cultural and creative industry development in Shanxi is currently at 0.572. To achieve an effectively comprehensive level, there is a need to increase digital media technology input by 31.73% and reduce economic input and employment by 13.97% and 18.18%, respectively. The study demonstrates that a 1% increase in digital media technology usage correlates with a 0.315 percentage point rise in the development efficiency of Shanxi’s cultural and creative industries. Consequently, Shanxi Province is urged to fully leverage its cultural resources, actively recalibrate the industry scale through enhanced use of digital media technology, and strive for a comprehensive efficiency that meets effective benchmarks.