bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Integration and Development of Cultural Creative Industry and Rural Tourism Industry in the Information Age
Authors: Ma Yue , Wang Yan 
Published: July 2024

Abstract
This paper constructs the innovative development model of cultural and tourism integration based on the digital development process of cultural and creative industries and the rural tourism industry under the background of informationization. Then, it analyzes the comprehensive development level, coupled and coordinated development characteristics, and regional differences of cultural and creative industries and rural tourism industries in the whole country and 7 regions by using the coupled and coordinated degree model. Finally, the effectiveness of the digital development model of cultural and tourism integration is analyzed through the multiple linear regression model, and the moderating effect of the digital development model of cultural and tourism integration on the regional service capacity, infrastructure, and economic development is explored in depth. The results show that for every 1 percentage point increase in the level of digitalized development of cultural and tourism integration, the employment in the regional tertiary industry increases by 1.5%, the level of infrastructure development increases by 1.6%, and the level of local economic development grows by 1.2%. This study enriches and improves the content framework of the research on the high-quality development of rural tourism and provides new analytical ideas for the research on the high-quality development of rural tourism and cultural and creative industries.
Research on Talent Cultivation Mode of Higher Education in the Context of Digital Era
Authors: Meng Fanli 
Published: July 2024

Abstract
“Lifelong learning” is the proper meaning of education in the new era, and talent cultivation is an important part of higher education. This paper addresses the shortcomings of the current talent cultivation model and proposes a new model for talent cultivation. It also examines the fitting and convergence validity of the new model through factor analysis. Multiple linear regression is employed to examine the correlation between the four indicators and compute the regression coefficients to create the regression equation. The analysis revealed that the RV values of all dimensions exceeded 0.7 and the AVEs exceeded 0.5, indicating that the cultivation model was convergently valid. The regression coefficients of the four variables, namely implementation approach, cultivation goal, result feedback, and normative requirements, are 0.984, 0.978, 0.415, and 0.218, respectively, indicating that there is a linear relationship between the indicators of the proposed talent cultivation model and that the model represents the reality of talent cultivation more accurately.
Research on Innovation and Entrepreneurship and Talent Cultivation Mode of College Students under the Background of Artificial Intelligence Technology
Authors: Qian Hong 
Published: July 2024

Abstract
Based on artificial intelligence technology, this paper builds an innovation and entrepreneurship education platform for college students with the goal of improving their innovation and entrepreneurship spirit and ability. For faculty information, competition information, and other aspects related to the collection and analysis of student portraits. The use of a collaborative filtering algorithm allows students to receive personalized test questions while also modeling innovation and entrepreneurship competitions and creating a set of team-matching methods that utilize student portraits. Using hierarchical analysis to construct the evaluation system model of graduate innovation and entrepreneurship education, it can be analyzed that in the student portrait, when the students basically have no attendance, the assessment grade is also 0. Students who have participated in the innovation and entrepreneurship education platform have received salaries of more than 11K in 4 cities, while social workers have only received salaries of more than 11K in 1 city. Basically, more than 70% of those who agree with the learning mode of innovation and entrepreneurship platform and who are very interested in it are more than 70%. Resource allocation (0.3537) has the greatest influence on the cultivation of innovative and entrepreneurial talents, and the importance of constructing innovative and entrepreneurial resource allocation should be highly emphasized.
Analysis of Teaching Capacity Building of College Teachers’ Innovation and Entrepreneurship Education in the Context of Big Data
Authors: Ruan Chongyou , Shi Zhengdong , Ruan Yiwen 
Published: July 2024

Abstract
Innovation and entrepreneurship education teaching is an important driving force to stimulate the innovation ability of college and university students and to improve them, which puts forward a major test for the teaching ability of college and university teachers as a key part of teaching. This paper analyzes the current situation of the teaching ability of college teachers in innovative entrepreneurship education teaching through a questionnaire survey. It constructs the evaluation index system of innovation and entrepreneurship teaching ability of college teachers, combines the gray correlation analysis method to determine the weight of each index in the system, and finally successfully constructs the rating system of innovation and entrepreneurship teaching ability of college teachers. Regression analysis and gray correlation methods are used to explore the influencing factors of college teachers’ ability to teach innovation and entrepreneurship. It was found that five factors, such as school type, education, and title, had a significant impact on college teachers’ innovation and entrepreneurial teaching ability. The correlation between participation in innovation and entrepreneurship training and the innovation and entrepreneurship teaching ability of college teachers in the gray correlation calculation is 0.758, which has a significant effect on teachers’ innovation and entrepreneurship teaching ability.
Effects and Mechanisms of ESG Performance Affecting Firms’ Innovation Efficiency - Based on Regression Analysis Perspective
Authors: Yin Xiong , Wang Lingji 
Published: July 2024

Abstract
Based on selecting A-share listed companies in Shanghai and Shenzhen from 2013 to 2022 as the research sample, this paper explores the effect and mechanism of ESG performance on corporate innovation efficiency using a regression analysis model. It is found that ESG performance is positively correlated with corporate innovation efficiency at a 1% significance level with a correlation coefficient of 0.057, which means that ESG performance can improve corporate innovation efficiency. Government subsidies play a mediating role in the relationship between corporate ESG performance and corporate innovation, and corporate ESG performance can enable enterprises to obtain more government subsidies, which can promote the enhancement of corporate innovation capacity. The results of heterogeneity analysis show that the ESG performance of non-state-owned enterprises and enterprises in the growth period has a more obvious effect on the improvement of corporate innovation efficiency, and their correlation coefficients reach 0.537 and 0.483, respectively. To summarize, based on the enterprise level, exploring the impact and mechanism of ESG performance on green innovation efficiency has important theoretical and practical significance for promoting the transformation of a low-carbon economy.
An Exploration of the Role of Quantitative Management Techniques in Public Service Satisfaction Enhancement
Authors: Zhu Lili 
Published: July 2024

Abstract
Under the background of service-oriented government construction, quantitative management techniques have been widely used in public services, and it is more and more important to study the relationship between them and public service satisfaction. In this paper, the quantitative management strategy of public service is proposed based on the relationship between public service satisfaction and quantitative management technology. Then, a quantitative Kano model is used to analyze the audience demand for public services. Finally, the effect of improving public service satisfaction is evaluated using the independent sample t-test method. The ranges of values of satisfaction X when the quantitative management technique is not used, satisfaction Y when the technique is used, overall importance r, and overall satisfaction α are [0.2248, 0.6402], [0.3239, 0.8441], [0.4016, 0.9587], and [0.6099, 1.3579], respectively, and the fact that X<Y and the values of r and α are higher suggests that quantitative management techniques have an enhancing effect on the satisfaction of public service demand. The public service satisfaction scores of the group using quantitative management techniques are all greater than those of the group not using them, and the significance of the t-tests of the four satisfaction dimensions of public services are all less than 0.05, indicating that quantitative management techniques have a significant effect of enhancing the satisfaction of public services in all dimensions. This paper provides empirical evidence for the use of quantitative management techniques to improve user satisfaction and promote the development of high-quality public services.
A Study of the Intersection of Traditional Calligraphy and Digital Media Art
Authors: Xiong Peijun 
Published: July 2024

Abstract
As a classic representative of traditional culture, Chinese calligraphy art has more and more obvious advantages in today’s digital media art creation. In this paper, the calligraphic text image is binarized by the OTSU method, the image enhancement is realized by linear gray value stretching, and the optimal tilt correction method is used to preprocess the traditional calligraphic text image and make a font library. Based on the data from the calligraphy font library, an immersive digital interactive context of traditional calligraphy is designed using digital media art. Pix2Pix network is introduced to combine with the PatchGAN network to establish a style migration network for traditional calligraphy text images, and three different types of loss functions are designed to ensure the accurate generation of traditional calligraphy text. The L1 loss of this paper’s model in generating traditional calligraphy characters is only 0.0359 at the lowest, the similarity values of the generated samples of calligraphy characters are mainly between 90% and 96%, and the maximum error of the relative position and relative size of the radicals is only 1.18%. The average value of the G2R indicator for the users’ images of calligraphic characters was 75.23%, and 89.86% of the users indicated that they were basically satisfied with the immersive interactive context of traditional calligraphy. Traditional calligraphy can achieve digital transformation and provide audiences with more diverse cultural experiences by relying on digital media art.
Research on Online-Offline Blended Teaching of Piano Course in Higher Vocational Colleges under the Background of Internet
Authors: Zhang Fang 
Published: July 2024

Abstract
Online teaching is becoming an important means of education, but for the piano course, how to organically combine online and offline teaching has been the focus of educators. To improve this situation, this paper proposes a neural network model for piano performance evaluation as an auxiliary means of blended teaching. The model uses bidirectional LSTM training data, introduces an attention mechanism to optimize data recognition efficiency, and finally generates performance evaluation through a softmax classification algorithm. After implementing online-offline hybrid piano teaching in combination with this evaluation model, 66.72% of the students believed that the new teaching method could stimulate learning initiatives. The piano performance test scores showed that the post-test times for single-note playing, mixed intervals and chords, and two-handed ensemble playing in the experimental group were reduced by 38 seconds, 45 seconds, and 7 minutes, respectively, and were significantly higher than those in the control group. This indicates that the performance evaluation model has good performance and application effectiveness.
The Promoting Effect of Organic Integration of Sports and Aesthetic Education on College Students’ Mental Health in the New Era
Authors: Zou Jinding , Zheng Sheng 
Published: July 2024

Abstract
College sports is an important part of college education, has the important function of fitness and heart health, and is an important way to cultivate the mental health of college students. This paper selects a representative number of colleges and universities from a certain region as the object of investigation, measures the organic integration of college sports and aesthetic education, and proposes the whole-process teaching design for the organic integration of college sports and aesthetic education after digging into the implementation of aesthetic education in college sports courses. On this basis, two natural classes in a college are taken as experimental objects to carry out intervention experiments on the integration of physical education and aesthetic education, diagnose the mental health level of college students by using the symptom self-assessment scale, and compare the mental health level of college students before and after the experiment by using the mathematical statistics method. The current teaching methods of physical education and aesthetic education are relatively traditional, focusing on the lecture-question-and-answer method (84.8%), the movement demonstration method (77.6%), and the movement decomposition and overall practice method (64.8%). After the teaching experiment, the mental health of the students in the two classes showed significant differences in each factor item (p < 0.05). The mental health level of the students in the class that used the integration of sports and aesthetic education for teaching was reduced by 16.83% and 13.77% compared with the pre experimentation and the control class, respectively. The organic integration of sports and aesthetic education has a certain promotion effect on the mental health of college students.
Shear behavior of web huge rectangular opening RC beams
Authors: Du Min , Guo Rui 
Published: July 2024

Abstract
Opening in the web of reinforced concrete (RC) beams will destroy the integrity of the beam and weaken the mechanical properties of the RC beam, such as the bearing capacity and stiffness. The three-point loading test and finite element analysis were carried out on 10 RC beams with a huge rectangular opening in the web. The effects of stirrups around the holes on the shear properties of RC opening beams, such as bearing capacity, deformation capacity, and stirrup strain, were studied, and the shear transfer mechanism of RC beams at the openings was explained by using the strut-and-tie model. The finite element test results are consistent with the actual test results, as shown by the results. When the hole width is small, the reinforcement of stirrups at the hole side can significantly improve the shear capacity of the specimen, but it can also cause chord shear failure. When the hole height is small, with the strengthening of the chord stirrup, the ultimate bearing capacity of the specimen increases, but it can still result in hole-side shear failure. The curve of stiffness degradation is approximately logarithmic. Moreover, according to the finite element stress vector diagram, the shear transfer mechanism of the perforated beam based on the strut-and-tie model has been proved.
A study on automated improvement of securities trading strategies using machine learning optimization algorithms
Authors: Chen Yi 
Published: July 2024

Abstract
Automation in securities trading offers advantages over human subjective trading, such as immunity to subjective emotional factors, high efficiency, and the ability to monitor multiple stocks simultaneously, making it a cutting-edge development path in the securities trading industry. In this paper, we first apply the concept of time-frequency decomposition, gradually moving from the first-order moments of securities prices to the higher-order moments. We then combine this with the EMD time-frequency decomposition method to analyze the securities price sequence and extract the characteristics of the securities price fluctuations. Finally, we use the differential long- and short-term memory network to construct an automatic optimization trading system. We compare the system’s performance with traditional technical analysis indexes, as well as the annualized returns of PPO and A2C models on various securities, to verify its performance under unilateral rising, oscillating rising, and plummeting quotes. Finally, we conducted a live test on 1000 GEM stocks. The system in this paper outperforms all traditional technical indicators, with an average annualized return of 71.85% at the lowest and 127.27% at the highest among 5 securities, demonstrating excellent performance. In the three quotes of Ningde Times, Aier Dental, and Goldfish that are rising one way, rising and falling over time, and rising again, the annualized returns of this paper’s system are 77.13%, 67.16%, and 12.66%, which are higher than those of the PPO and A2C models.
Research on Sports Training Mode of College Athletes Based on Column Generation Algorithm of Recursive Matrix
Authors: Li Xiangmin 
Published: July 2024

Abstract
Athlete training optimization is an important part of sports management, and the scientific management program is of practical significance for athletes to improve their sports level. This paper collects sports training data for cluster analysis, establishes the optimization function of the distance from the data point to the center of the class, solves it, and determines the consistency matrix to judge the data category. Establish the column generation optimization model, get the linear programming model based on the matrix change column generation, in the process of transforming the model to solve the recursive matrix recursive relationship formula and solve the objective function. According to the solution of the optimization function to adjust the athletes’ sports training program. After the test, it was found that the pre-and post-test scores of the three tests of the experimental class were improved by 1.03 seconds, 1.05 meters, and 1.33 meters, respectively, and were significantly ahead of the scores of the control group. According to the satisfaction analysis, 76.67% of students were satisfied with the training effect. It indicates that the new training mode improved by the algorithm has good application effects.
Research on the optimization of teaching content for cloud computing technology in secondary school labor education curriculum
Authors: Mo Dongxia , Mo Bohai 
Published: July 2024

Abstract
Labor education is an important educational course for secondary school students to learn and grow comprehensively. This paper first collects the current improvement direction of secondary school labor education through relevant questionnaires and then introduces cloud computing technology to design an online learning platform for secondary school labor education courses, which assists teachers in completing the labor teaching process. The design of the platform adopts MVC development mode, AJAX asynchronous refresh technology, and other key technologies, analyzes the requirements from three aspects of objectives, performance, and functions, and finally realizes five major modules, including user management, course management, and evaluation management. To address the problem of insufficient evaluation of labor courses, this paper constructs a model of students’ online learning behavior based on the K-means algorithm in the application process of the platform and evaluates the behavior of students’ online participation in labor education courses. By standardizing students’ platform learning information data and analyzing and calculating the learning behaviors of 300 students can be divided into 4 categories, accounting for 16.0%, 34.3%, 23.0%, and 26.7%, respectively, and the teachers of the labor courses can formulate personalized teaching plans for each type of labor learning behavior.
Research on the Future Trends of the Integration of Artificial Intelligence and Fashion Design of Clothing
Authors: Sun Ning , Cao Botao , Mu Xichan 
Published: July 2024

Abstract
Along with the flow of clothing designer personnel, clothing style design technology will be lost, so the intelligent design of the clothing industry, with the development of artificial intelligence technology, has received great attention. In this paper, based on the real-time style migration algorithm to study and design the local pattern of clothing, based on the principle of real-time style migration of images with perceptual loss function, it is proposed to optimize the real-time style migration network by using the group normalization method to obtain the style migration image that is more in line with the visual habit. The fusion of the style migration image with the garment base map through Poisson fusion achieves the end-to-end intelligent design of garment local patterns. The AdaIN-based style migration network model designed in this paper has an average accuracy of 75.758% when trained. Then, the model is applied to the clothing fashion design to evaluate the effect of the garment. The average scores of the overall, front, side, and back evaluation of the dressing effect of the garment are 4.04, 4.15, 4.01, and 3.92, respectively. The garments show a better effect. AI technology will bring more innovative possibilities to the clothing fashion industry and inject new vitality into the fashion industry.
Applying Decision Analysis and System Dynamics Community Governance in the Evaluation of Juvenile Delinquency Prevention Strategies
Authors: Chen Dan 
Published: July 2024

Abstract
From the perspective of juvenile delinquency prevention theory, this paper explores the current situation of juvenile delinquency in rural areas of W County and the mechanism of relevant functional departments in local community governance based on the questionnaire survey method. Then, six juvenile delinquency prevention service programs are selected as the object of evaluation research, and the intelligent decision analysis system of system dynamics is used as the tool of evaluation research to evaluate the six juvenile delinquency prevention programs systematically and comprehensively. The following conclusions were obtained after the analysis. The crime rate of rural youths in County W is as high as 15.8%, with a wide range of crimes. 81.6% of the relevant departments in community governance did not establish rural juvenile records, and about 13% of the departments did not conduct crime prevention training. The Green Clay People Juvenile Crime Prevention Program, which uses social connection theory as a strategy, has an evaluation value of 0.242, and the completion rate of the agreed service indicators specified in the contract is more than 100%. The overall evaluation of the six programs was 87% satisfied. Therefore, the intelligent decision analysis system in this paper has been well applied in the evaluation of juvenile crime prevention strategies, with the progress and development of society, and will occupy an important position in the future for a considerable time.