bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Exploration of Chinese-Russian Youth Humanistic Exchanges and Cooperation Based on VAR Modeling
Authors: Xiao Lingxu 
Published: February 2024

Abstract
In the cross-cultural context, interpersonal trust and cooperative behaviors become more complex due to mutual adaptation, communication and interaction between different cultures and races. This study explores the self-perception and materialism of Chinese and Russian youth in humanistic exchanges and the impact on interpersonal trust and cooperation behavior. This paper constructs a humanistic exchange and cooperation evaluation model based on VAR. We apply the panel data clustering method based on structural relationships to model and analyze heterogeneous and cross-sectionally independent PVAR. The variable coefficient PVAR is divided into K classes according to the structural relationship aggregation to reduce the number of parameters estimated by the model. The model estimation method of PVAR based on relational clustering in the case of cross-section independence is proposed. Among the various scores of humanistic exchanges between Chinese and Russian youths, the academic self dimension score of self-perception is positively proportional to the materialistic desire dimension score of materialism, with a correlation coefficient of 0.376. From the test of the differences in interpersonal trust and cooperative behavior between Chinese and Russian youths, Chinese youths’ interpersonal trust (M=5.36) and collective behavior (M=36.18) are higher than those of Russian youths’ interpersonal trust (M=4.27) and cooperative behavior (M=33.94). The combined results show that there is still a need to improve the cross-cultural adaptation of Russian youth coming to China and to enhance cooperative behavior with others.
Research on Innovative Methods of Dance Teaching in Colleges and Universities under Big Data Thinking
Authors: Yang Jing 
Published: February 2024

Abstract
This paper combines big data technology to design and construct the choreography process of dance movements in colleges and universities, decompose the dance movement features and use Kalman filtering to process the extracted dance movement data. Through the world coordinate system to complete the modeling of dance movements, feature Comparison and center of gravity velocity movement analysis. Examples are used to analyze the feasibility of integrating big data thinking into dance teaching in colleges and universities, and the teaching effect is verified by combining students’ essential dance performance, affective performance and comprehensive ability evaluation. After applying the model, students in both classes improved their independent learning ability. Still, the difference between the experimental and control classes was significant in both dimensions of learning motivation and learning strategy, with t-values of 23.012 and 23.127, respectively, p<0.05.
Analysis of Talent Cultivation Mode of Network and New Media Communication Majors in Colleges and Universities under the Background of Big Data
Authors: Yao Zhexi 
Published: February 2024

Abstract
In college education, the introduction of data analysis to quantitatively analyze students’ knowledge has become a new trend. The education of network and new media communication majors can also use big data to assist. To this end, this paper uses knowledge tracking technology to construct an auxiliary teaching model for network and new media communication majors in colleges and universities. A new cross-feature formula is used to incorporate many elements of students’ answers into the feature calculation to improve the operation effect of DKVMN model and avoid the complex operation brought by dimensionality reduction. Introducing the cross formula of guessing rate and error rate refreshment based on cognitive diagnostic model. The judgment level of the model is tested using a public dataset after the model has been constructed and put into practical use in a university’s network and new media communication department. Seventy-three students in the department had a good grasp of the knowledge points and six had an excellent understanding. The adjusted means of the experimental and control groups are 93.102 and 82.596 respectively, and there is a significant difference between the two groups of students’ academic performance (p<0.05). The model in this paper can accurately determine the mastery of students’ knowledge points and provide a development direction based on data analysis for teaching network and new media communication majors in colleges and universities.
Multi-source data-driven estimation of maximum carrying capacity of urban water storage facilities under extreme conditions
Authors: Liu Bofan , Guo Ruifei 
Published: February 2024

Abstract
With the deepening of urbanization and rapid economic development, urban water storage systems face increasing challenges. In this paper, the behavioral mechanism of urban water storage system is deeply analyzed by using the system dynamics method, and a system dynamics model of the carrying capacity of urban water storage equipment is established. Further, based on the gray correlation theory, a prediction model of the carrying capacity of urban water storage equipment is constructed and accuracy is examined. The study estimated the maximum carrying capacity of urban water storage equipment through performance analysis. The results show that the relative error of the fitted data is deficient, indicating that the model is highly accurate. The empirical Analysis of the carrying capacity index of the urban economy and water environment pollution is high. The prediction results for 2030 show that the carrying capacity of water storage facilities in City M is 0.22, which is already slightly overloaded and faces a severe risk of overloading. The model proposed in this study can not only accurately predict the trend of the carrying capacity of water storage equipment, but also effectively predict the overloading problem of urban water storage equipment, which provides a scientific basis for the optimization and improvement of urban water storage equipment, and an essential support for the formulation of the city’s sustainable development strategy.
Practice and Exploration of Blended Teaching Based on VR Animation Laws of Motion Course
Authors: Zhao Jiansong , Khalid Intan Khasumarlina binti Mohd , Wan Fangfang , Zhang Pingfei 
Published: February 2024

Abstract
This study explores the application of virtual reality technology and traditional offline hybrid teaching mode for the specialized course “Animation Laws of Motion”. Through the improved ORB algorithm, this paper effectively combines the BRIEF and ORB image feature and matching algorithms to optimize capturing and matching image features. Two classes of animation majors in a school were selected for experiments in the study, and the effects of the two teaching modes were compared through half-term tests, pre- and post-test question analyses, and questionnaire surveys. The results show that after the teaching assisted by VR animation technology, students’ acceptance and emotional attitudes are significantly improved, and the students in the experimental class better mastered the six motion methods in the animation motion course and completed the animation design tasks with high quality. In the animation modeling course, the proportion of low-quality works in the experimental class is only 4%, showing significant teaching effects. The Research in this paper provides empirical support for the application of virtual reality technology in animation education. It demonstrates the potential of combining VR technology with traditional teaching in enhancing teaching effectiveness.
Innovative Exploration of Ideological and Political Education in Colleges and Universities in the Internet Era
Authors: Cui Wei 
Published: February 2024

Abstract
This article deeply explores the behavior and effect of online learning in ideological and political education in colleges and universities, firstly, it clarifies the mechanism of the occurrence of online ideological and political learning behavior, and constructs the corresponding indicators of learning behavior. Using CART tree and XGBoost model, the article ranks the feature importance of learning behaviors. It combines with Bayesian network to construct a comprehensive analysis model to explore the causal relationship between learning behaviors and learning effects. By analyzing the data of M online learning platform in 2021, the study found that resource learning features have the most significant impact on learning performance, especially the indicators of video viewing time, number of homework submissions and number of online discussions. The study results show that when learning resources are rich and professional, learning performance is significantly improved, providing an effective way to optimize the teaching quality of online Civics education.
Research on Modeling Analysis and Risk Early Warning of Regional Financial Stability Based on VAR Model--Taking Henan Province of China as an Example
Authors: Liu Jie , Jiang Hongjing , Zheng Xiying 
Published: February 2024

Abstract
This paper synthesizes the influencing factors of financial stability in Henan Province, selects indicators from both internal and external aspects, and determines the index system of economic stability in Henan Province. On this basis, the entropy method is utilized to attach weights to each indicator, and the impulse response and Granger causality test in the VAR model is used to detect the financial stability of Henan Province. In addition, considering that financial risk early warning is critical to the economic security of the country and Henan Province, the principal component analysis method is further used to screen the risk warning indicators, construct a VAR model for financial risk early warning in Henan Province, and analyze the financial risk based on the comprehensive risk warning score. The results show that the risk status of banking financial institutions (16.3252) is relatively poor, while the complete risk status of financial guarantee institutions (42.62864) is at the warning level, and the VAR model accurately reveals the financial stability and risk status of Henan Province. This study provides theoretical knowledge for the modeling analysis of financial stability and risk early warning research in Henan Province, which is of great practical significance for improving the effect of local financial supervision in Henan Province and maintaining the stable operation of finance in Henan Province.
Research on Digital Management of Scientific and Technological Innovation Services in Universities Based on Artificial Intelligence Background
Authors: Shen Xia , Xie Changwei 
Published: February 2024

Abstract
In this paper, the digital management of scientific and technological innovation services in universities based on the background of artificial intelligence is studied in depth, aiming to create a comprehensive and efficient management platform. By constructing a platform with a multi-level architecture, it realizes the informatization management of the whole process of university science and technology projects. Specifically, this study designed a functional structure of 10 subsystems, covering all stages from project declaration to results management. To improve the management efficiency, principal component analysis and cluster analysis techniques were introduced, and the effectiveness and feasibility of the platform were verified by analyzing 270 questionnaires. The average score is 3.8293, showing that users highly recognize the platform. In addition, by qualitatively and quantitatively analyzing the factors affecting management, the key factors promoting and inhibiting the management efficiency were clarified, providing a new perspective for the management of scientific and technological innovation services in universities.
Research on Promoting the Micro-Governance of Sports in China’s Urban Communities under the Concept of Common Construction, Common Governance and Sharing
Authors: He Gang 
Published: February 2024

Abstract
The study first constructed a system of evaluation indicators, including five secondary and 21 tertiary indicators such as financial resources, site facilities and human resources. The weights were calculated using the combination assignment method, combining subjective weights based on the G1 method and objective weights from the projection seeking model algorithm, emphasizing the importance of human resources. The cloud model was applied to grade governance effectiveness, and most indicators were in the medium and high levels. The complexity and diversity of governance were revealed through quantitative and qualitative comparative Analysis (QCA) of a sample of 10 communities in H city. The results of the study showed that the similarity of community sports facilities as a percentage of expenditures in the 10 community samples in City H reached the high performance level (0.8601), while the similarity of the indicators of sports training and instruction, percentage of human resources in sports, public demand, and management of social organizations was at a lower level. To improve the effectiveness, it is recommended to strengthen the introduction and training of human resources, the construction of hardware facilities and publicity and promotion, and to optimize the organizational security. At the same time, modern technologies such as big data are utilized to establish a more efficient governance system to fully implement the concept.
Research on the Educational Path of College Students’ Career Planning Based on SWOT Analysis
Authors: Liang Xiaona , Li Na , Su Xin 
Published: February 2024

Abstract
Facing the current severe employment situation, colleges and universities need to strengthen the cultivation and management of talents to meet the social demand. Under the guidance of SWOT theory, this paper combs out the system model of college students’ career planning. And from the four aspects of advantages, disadvantages, opportunities and challenges, it constructs the evaluation index system of college students’ career planning based on SWOT. Combined with the principle of triangular fuzzy number, the evaluation model of college students’ career planning based on fuzzy network analysis is constructed. Based on this, college students in 8 colleges and universities are selected as research objects. After collecting relevant data, the weights of each index are calculated, and the career planning of college students in 8 colleges and universities is comprehensively evaluated and analyzed from the perspectives of different genders and majors. The results show that the indicators of the strengths level have the most significant influence on college students’ career planning, with a weight of 0.357. Only college 3 has a comprehensive score of college students’ career planning greater than 90, male college students (72.76) have a slightly higher complete score of career planning than female college students (71.81), and students of science (76.92) have a somewhat higher comprehensive score of career planning than students of liberal arts (74.68). Combined with the analysis of this paper, college students’ career planning education can be improved by guiding them to establish precise career planning, improving specialized guidance services, and increasing recruitment activities.
Development of Financial Instruments in the Green Energy Sector from the Perspective of Digital Empowerment
Authors: Yang Shuo , Luo Yongbin , Liu Jianhua , Hua Zhilei , Liu Chunguang 
Published: February 2024

Abstract
In the context of accelerated industrialization and urbanization, the importance of the green energy sector has become increasingly prominent. From the perspective of the role of the financial system, this article deeply explores the role mechanism and environmental constraint relationship of financial instruments in green energy development. The article constructs a measurement model of financial instruments on the efficiency of green energy development, introduces data spatial correlation into the econometric analysis framework, and establishes a spatial econometric model to analyze the impact of financial instruments on development efficiency. By testing the data from 2008 to 2020, the study shows that the level of global financial means support passes the significance level, and the magnitude of the mediating effect when the spatial Durbin model is simplified to an error model is about 13.5%. The study also found that enhancing green energy development can positively affect neighboring regions. This paper provides an effective methodological path for studying the role of financial instruments in green energy development, which is of great theoretical and practical significance for promoting the development of the green energy sector.
Exploration of new media operation and brand promotion strategy in the era of artificial intelligence
Authors: Deng Li 
Published: February 2024

Abstract
This paper proposes a new evaluation model for the current situation and challenges of further media communication of enterprise brands through diversified publicity. A comprehensive evaluation model based on AHP-EWM-TOPSIS is constructed by establishing an evaluation index system for the effect of new media operation and publicity, and preprocessing the indexes with the polar deviation method, combining the hierarchical analysis method and entropy value method for weight assignment. Through practical application to the evaluation of M Company’s publicity strategy, it is found that most employees evaluate the current strategy as average or poor, and the investment in new media operation cost is low. In addition, gender has no significant effect on the use of new media platforms, but the user web video usage rate has reached 90%. Therefore, it is recommended that enterprises adopt scientific and practical theoretical models such as the funnel propaganda model proposed in the paper to improve the efficiency of new media operation and brand communication effect, and promote the development of enterprises.
Research on organic polyacid system suitable for water injection wells in low permeability reservoirs
Authors: Ke Yaobin , Zhao Jianhua 
Published: February 2024

Abstract
Currently, the pollution and clogging problems of injection wells in low-permeability reservoirs are becoming more and more serious, leading to a series of issues, such as the decline of fluid production in wells and the increase of pressure in injection wells. To cope with these challenges, SY organic polyacid solution was developed in this paper and its dissolution efficiency was thoroughly investigated. The experimental results show that SY organic polyacid solution has a high dissolution rate of 88.7%, which exhibits excellent scale dissolution effect, and the solvent's dissolution has a good slow-release performance to ensure the long-lasting action time. At the same time, the corrosion rate of the solvent on the N80 steel sheet is only 0.6291 g/m²-h, much lower than the industry standard, which effectively protects the safety of the construction pipeline and production column. In addition, the dissolution rate of SY organic polyacid on clay reaches 10.14% in five minutes, indicating that it prevents the ground collapse caused by excessive dissolution of clay and has good profound penetration ability. In summary, using SY organic polyacid solution can effectively solve multiple problems such as reservoir mud, inorganic scale, organic scale and water injection fouling oil, which provides an effective solution for the contamination and clogging of water injection wells in low permeability reservoirs.
Eight-link pressure mechanism and its dynamic simulation based on improved ant colony algorithm optimization
Authors: Liu Song 
Published: February 2024

Abstract
In recent years, the optimization of eight-link pressure mechanism using ant colony algorithm is a research hotspot, but given the limitations of traditional ant colony algorithm, this paper improves the ant colony algorithm based on the SSA-IACO algorithm and develops the application and analysis of eight-link pressure mechanism and its dynamic simulation. Through the study of parameter settings before and after optimization, simulation analysis and other aspects, it is concluded that: the efficiency of the new scheme optimized by the improved ant colony algorithm is 88.86% higher than the original scheme. The stator power is reduced by 4.10% and the power factor is increased by 14.67% on average over the original scheme. The maximum magnitude of the free end torsion angle of the crankshaft system is 0.16 degrees, and the increased resonance speed is about 1800 rpm. The maximum torsion angle of the main harmonic (6th harmonic) is reduced from 0.54 to 0.16, and the damping effect is noticeable. When 0.7 ≤ ρ 0.8, and ρ is close to 0.7, the algorithm performs better. When 0.15 ≤ θ 0.2, and the value of θ is more comparable to 0.15, the algorithm obtains the optimal solution and the execution time is shorter than the [0.7,0.2] combination.
Analysis of Outstanding Problems and Countermeasures in the Reform of Fine Arts Teaching in China’s Colleges and Universities Based on the VAR Model
Authors: Duan Feifei 
Published: February 2024

Abstract
With the development of society, the artistic cultivation requirements for talents are increasing. This paper discusses in depth the main problems in the current reform of art teaching and puts forward targeted solution strategies, aiming to improve the overall quality of art teaching. In the study, the key factors affecting the quality of art teaching in colleges and universities were analyzed using the VAR model, and a multimodal art education knowledge map was constructed using the Viterbi method. Through the ALKPT knowledge tracking model, this paper assessed and scored students’ mastery of art knowledge and incorporated the results into the art classroom quality evaluation module. Based on the scoring data, the art classroom quality features were standardized, and the comprehensive evaluation results were derived through feature fusion dynamic weight assignment. Impulse response analysis showed that the number of returnees who studied abroad to learn about art positively impacted art teaching. The empirical results showed that after the reform of art teaching, the students’ art theory scores increased by 5 points on average, the scores were distributed between 10 and 20 points, and the achievement gap between students was reduced. This study provides a robust strategy and evaluation tool for optimizing art teaching, improving teaching quality and promoting students’ artistic literacy.