bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Employment and Entrepreneurship Work of College Students Based on Multi-Objective Planning Modeling
Authors: Feng Jie 
Published: February 2024

Abstract
Strengthening the employment and entrepreneurship guidance for educated people to meet the realistic needs of social development for high-quality talents deserves in-depth study. This paper constructs a multi-objective planning model for college students’ employment and entrepreneurship, sets the objective function and state model of college students’ employment and entrepreneurship through the demand of college students’ employment market, and solves the model according to the constraints of priority ranking. From the perspective of talent supply, the proposed model is combined to plan the supply and structure of talents, and the regression model is used to predict the demand for college students’ employment and entrepreneurship. The scientificity and validity of the proposed planning model are verified by analyzing the effect of applying the model to college students in L City and analyzing the order of employment and entrepreneurship preferences. The results show that the preference weights of college students whose family economic status is particularly poor for employment and entrepreneurship geography, salary, enterprise size, unit nature, and job position are 0.187, 0.175, 0.204, 0.147, 0.287, indicating that job position preference is more valued in the process of choosing a career. The mean value of college students’ first-time employment and entrepreneurship rate is higher than that of the year 2019 by 0.051 in the year 2022. The application of a multi-objective planning model of college students’ employment and entrepreneurship can improve the employment and entrepreneurship rate, and promote the innovation and development of the guidance work of employment and entrepreneurship channel and career choice development of college and university-educated people.
Research on the Development Path of Sports Culture and Athletic Training in the Perspective of Intelligent Sports
Authors: Guo Cheng , Xu Mian 
Published: February 2024

Abstract
Based on the fact that sports culture, as an important part of social culture, is also one of the key contents of the construction of social-ecological civilization, this paper proposes a smart sports training ecosystem based on the integration and development of artificial intelligence and sports culture sports training. Investigating the Evolution of Sports Culture and Athletic Training through the Lens of Intelligent Sports The foreground and background separation is used to obtain the user’s skeletal features, and the initial skeletal feature data is filtered for the abnormal data that will cause the skeletal data-position deviation, followed by optimizing the monitoring and guidance functions of the smart sports training ecosystem through the Hidden Markov-based motion recognition, and an example analysis is conducted to optimize the operation of the smart sports training ecosystem. The results show that: in the angle detection results during running, the ankle joint angle change interval of the participants in the test is [85.44°, 123.699°], and the average value is 404.5695°. The initial change range of ankle joint angle of the athletes at the moment of landing is 105.73°~108.98°, which confirms that the intelligent sports training ecosystem can provide users with high-quality interactive experience and real-time feedback on the changes of their own sports status. This study can improve the athletic ability and sports culture literacy of college students, and provide a theoretical basis and practical reference for the development path of sports culture and sports training under the perspective of smart sports.
Analysis of Green Supply Chain Finance Value Architecture in Environmental Protection and Low Carbon Economy
Authors: Li Bing , Yuan Meiying , Sun Yanan 
Published: February 2024

Abstract
The traditional supply chain encounters policy red light and green trade barriers, and the reasonable and efficient utilization and allocation of social resources are restricted. This paper is based on fuzzy theory and hierarchical analysis method to determine the relative weights of evaluation indexes, using the triangular fuzzy function method to study and analyze the optimal choice of fuzzy synthesis operator, and finally establishing the green supply chain financial value architecture analysis method based on fuzzy comprehensive evaluation method. The analysis of this paper’s method finds that the comprehensive index of the development level of digital supply chain finance in the eastern region is 0.5659, and the value architecture of green supply chain finance has a significant role in promoting the gross profit margin and return on net assets of enterprises, making the return on net assets of enterprises about 9 percentage points higher than the average value in the industry, and lowering the number of days of turnover of the receivables of the enterprises, which is lower than the counterparts by about 57 days, which is an obvious advantage in the industry. The method examines the supply chain finance value architecture to show that when the enterprise’s anti-disturbance ability increases from 0.1 to 0.4, it becomes more resistant to risk propagation.
Risk Analysis of Financial Investment in Enterprise Financial Management in the Information Age
Authors: Lu Peizhong 
Published: February 2024

Abstract
This paper introduces the GAS framework into the research problem of financial asset risk in the financial management of enterprises in the information age, gives the basic expression of the GAS framework model, improves based on the basic expression, and combines it with the traditional GARCH model to construct the GAS-GARCH-sst model. After that, the study of financial investment risk is extended further by constructing the GAS-factor Copula model, and when the parameters of the model are extrapolated, a two-step estimation method is used, i.e., the parameters of the marginal distribution and the parameters of the Copula model are extrapolated separately. Finally, with the help of the GAS-Factor Copula model, the financial investment risk analysis of ML Company can shows that the return on net assets, return on total assets and cost-expense margin of ML Company are lower than the industry average since 2020, and the growth rate of operating income has changed greatly, ranging from -354.88% to 54.3%. Cost-expense margin has been declining consistently since 50.1% in 2017, while cash inflow in investing activities is only 1.9%-17.57% of cash outflow in 2016-2021. This indicates that ML is facing the challenge of financial risk in various financial investments in the information age.
Construction of Enterprise Asset Management Accounting System Based on Blockchain Technology
Authors: Wang Hui , Zhang Yuan , Chen Xuemei , Wu Jian 
Published: February 2024

Abstract
With the continuous development of blockchain technology and the capital market, asset management introduced by blockchain has become the focus of enterprises, and this paper studies the enterprise asset management accounting system based on blockchain technology. By using blockchain technology, an asset management accounting system can be built by combining the cost control and responsibility system. Even though the enterprise asset management mode is designed to be efficient, the evaluation index of blockchain is not accurate. The blockchain enterprise asset management mode is analyzed using the DEA effectiveness model combined with the entropy weight method. Combined with the measured data of blockchain technology, the election phase, throughput, and transaction delay are compared, in which the blockchain technology BFT-Raft has a significant improvement in the election phase, the throughput is increased by 101.2TPS, and the transaction delay is reduced by 200~250ms.Through the analysis of the enterprise asset management and the analysis of blockchain de-also asset management efficacy, in which the coverage rate of blockchain technology and the asset yield increase year by year from 2018 to 2021, and reach the highest value of 0.5785 and 0.3612 in 2021, respectively, indicating that M’s overall asset management efficiency of the company has gradually improved with the coverage application of blockchain technology. In summary, the enterprise asset management accounting system based on blockchain technology in this paper can effectively improve the efficiency of enterprise asset management and is of practical significance for the development of enterprise asset management.
A data mining algorithm-based approach to accounting for enterprise operating costs
Authors: Zhang Yuan , Wang Hui , Wu Jian , Chen Xuemei 
Published: February 2024

Abstract
This paper first proposes an enterprise operation costing method based on C4.5 optimization algorithm, which uses Taylor series to simplify the logarithmic operation and reduce the calculation time of the algorithm. The mean value of GINI index is used to eliminate the influence of inter-attribute correlation, dig deeper into the cost data, ensure the reliability and accuracy of the cost data, and thus improve the correct rate of cost accounting. Then the C4.5 algorithm and the C4.5 optimization algorithm are applied to the actual case of cost prediction and cost accounting of a city construction enterprise to compare the accuracy of the two algorithms. The dataset is used to iterate through the two algorithms to test and analyze their performance and global balance. The results show that the C4.5 optimization algorithm’s accounting value for each item is consistent with the actual value, and the accounting error is only 0.1%. The C4.5 algorithm has an accounting error rate of approximately 8%. The errors of both costing methods decreased to different degrees when the number of iterations increased from 10 to 100. The error of C4.5 algorithm decreases from 0.325 to 0.07. The error of C4.5 optimization algorithm decreases from 0.28 to 0.05. The error rate of the enterprise costing method of the C4.5 optimization algorithm is less, and the global balance is better.
A study of coupled incentive-based clearing mechanisms in electricity markets considering uncertainty risk
Authors: Zhao Tianhui , Huang Cheng , Pan Hongjin , Shi Hao , Luo Gang 
Published: February 2024

Abstract
Promoting the construction of the electricity spot market and considering the market-oriented trading mode with joint participation of the generation side and load side and fair competition will be the trend of future development of the electricity spot market. The unit generation bidding strategy is adjusted by this paper based on incentive factors and an incentive-based clearing mechanism is designed for market coupling. To establish a coupled two-layer model of the power market, the upper layer of the heterogeneous generator bidding strategy modeling, the lower layer of the incentive-based market clearing mechanism modeling. On this basis, a spot market model is designed in which both the generation and user sides participate in peaking, and the peaking resources on the generation side and the user side are included in the market mechanism bidding. This paper’s clearing cost can save 854.42 yuan compared to the unified clearing mechanism in the bidding stage for clearing the total market electricity energy volume of 1000kW. The total carbon emissions are reduced by 5816.8 tons in a single day when compared to the single electric energy trading mechanism, which is based on the market-coupled incentive system. The market model proposed in the paper can effectively improve the level of new energy consumption and provide a useful reference for the design of the electricity market in regions with a high proportion of new energy.
Exploration of Community Governance Paths in Urban Ecosystems Based on KANO-IPA Modeling
Authors: Tan Yue , Huang Danqing 
Published: February 2024

Abstract
This paper focuses on the research object of urban ecological environment governance on the urban community at the micro level, and pays attention to the problem of the realization path of urban community environment governance. The KANO-IPA model is established to study the urban ecological environment and the needs of community residents, and the importance of the survey data is evaluated by combining the theory of rough numbers to construct the community governance path of the urban ecological environment. The model analyzes the ecological environment of City H in Province A, and 10 communities are governed using the governance path constructed in this paper. The coal industry in City H dominates the economic development, and the total particulate emissions in the city will be 107,173.10 tons in 2021, and the contribution of the industrial emissions to the dustfall of heavy metal Ni will be 77.96%, and at the same time, there is a serious problem of arbitrary tampering with the data of ecological governance. The community governance path constructed in this paper achieves about 80% of resident satisfaction in 10 communities in H city. The governance path proposed by this study can be recognized by residents of the community and is expected to improve the ecological environment of the city.
Exploring the Teaching Path of English Teaching Courses in Colleges and Universities Based on Decision Tree Modeling
Authors: Jia Xuwei 
Published: February 2024

Abstract
The teaching of English courses in colleges and universities relies too much on grades to judge students’ mastery of knowledge points, and there are problems of slow feedback and difficulty in timely targeted teaching. To address the drawbacks of traditional English teaching methods, this paper constructs a random forest algorithm based on the decision tree model, uses the information gain index to judge the feature segmentation effect of the random forest, and calculates the degree of students’ mastery of knowledge points. At the same time, the recommendation model is utilized to match students with topics equivalent to their mastery level, and the alternating least squares method is introduced to improve its recommendation efficiency, thus constructing an efficient English teaching course assistance model. The model was implemented in colleges and universities after it had been designed. The highest similarity match of the educational resource ontology tree was achieved when the weights of knowledge points, resource difficulty, and resource type were 1.121, 0.986, and 1.129, respectively. The average score of the class was 65.3 before the application, after the application, the second test score increased to 69.28, which was a significant improvement, and the fourth test was 75.32, which exceeded the average score of 72.23. The investigation of this study shows the direction for the innovation of the English curriculum and promotes the benign development of English teaching.
Optimization of English Language Curriculum System in Colleges and Universities Based on Natural Language Processing Technology
Authors: Ma Xiaona , Zhang Yang 
Published: February 2024

Abstract
Analyzing students’ feedback course text data is an inevitable requirement to improve the teaching quality of English language courses in colleges and universities. Based on the two parts of word vector representation and recognition of text language in natural language technology, this paper completes the word vector representation of English language course text in colleges and universities through the CBOW and Skip-gram structure of World2Vec model. Using the LDA topic model, the obtained English language word vectors are identified, and then the English language course system of colleges and universities is processed to complete the optimization of the course system. On this basis, 10 English language courses of X university are selected and the texts of question responses and course evaluations of the selected English language courses are collected and analyzed using the model. The study shows that 80% of the course responses are active at the beginning and end of the question life cycle. The percentage of question responses decreased as the number of questions increased. Students in Majors A (53%) and B (27%) were more concerned about teaching ability, and students in Majors B (40%) and C (57%) were more concerned about teaching style. Based on the above analysis, pedagogues can optimize the teaching quality of English courses in colleges and universities in terms of teaching ability and teaching style.
Exploration of the Communication Path of Chinese Traditional Art and Culture with Internet+ and VR Interaction Design
Authors: Shen Fanghua 
Published: February 2024

Abstract
Based on the virtual cultural experience of VR interaction design, this paper builds the framework of the VR interaction system, focusing on the experience and dissemination of Chinese traditional art and culture under VR interaction design. The specific factors affecting the immersion experience of traditional art and culture are sorted out, and the quantitative analysis of the immersion experience of traditional art and culture based on VR interaction design is carried out in combination with the S-O-R model. The content selection and demand motivation of Chinese traditional art and culture under VR interaction design are analyzed separately, and the main trends of the development and dissemination of traditional art and culture are clarified. A one-way ANOVA method is used to numerically compare the age of the VR interaction design audience with the demand for use, perceived ease of use, perceived usefulness, willingness to use, use behavior, and communication effect. The comparison results show that audiences aged 18-25 years old have a higher demand for VR interactive design, perceived ease of use, and dissemination effect compared with audiences aged 40 years old and above, with a mean difference of 0.786, 0.562, and 0.824. To promote cultural attraction and dissemination, it is necessary to target different age groups with Chinese traditional art and culture combined with VR interactive design.
Exploring the reform path of chemistry teaching in agricultural and forestry colleges and universities by combining the background of the information age
Authors: Chu Mingjie 
Published: February 2024

Abstract
The development of information technology promotes the reform of college education. In this paper, the attention mechanism is introduced based on the LSTM model, the Att-LSTM model is constructed to extract students’ learning characteristics quickly, and students’ learning level is analyzed by combining them with the Markov chain model. On this basis, the reform system of chemistry teaching in agricultural and forestry colleges and universities is constructed by combining with information technology and applied to the practice of colleges and universities. Its application effect is explored through the analysis of chemistry performance, experimental operation ability, and report writing ability. After the reform of virtual experiment App and multi-screen interactive technology, students’ chemistry scores increased from 63.17 to 86.95, the level of chemistry experimental operation ability improved significantly, the average level increased from 0.63 to 0.90, and the scores of theme aspect and idea aspect of chemistry report writing increased, and the comprehensive score reached 82.20. Meanwhile, due to the integration of virtual experiment app and multi-screen interactive technology virtual experiment app and multi-screen interactive technology, students’ interest in learning chemistry was stimulated and their understanding and internalization of chemistry knowledge were enhanced. The reform path in this paper has achieved better results in teaching and is expected to improve the teaching of chemistry in more agricultural and forestry colleges and universities, enhance the quality of teaching, and increase the fun of teaching.
Construction of Mental Health Evaluation System for College Students’ Physical Education Learning in the Internet Era
Authors: Hong Yu 
Published: February 2024

Abstract
In this paper, a mental health evaluation system based on KB-SMOTE algorithm and XGBoost model was successfully established. Firstly, the questionnaire is reasonably set up and distributed to the college students majoring in physical education to fill in the questionnaire, to obtain the college students’ mental health questionnaire survey data. Secondly, the KB-SMOTE algorithm is used to optimize the data of questionnaire tuning data. The training set was utilized to establish the primary parameters of the XGBoost model. The final parameters were determined by the parameters that correspond to the highest accuracy of the XGBoost model. Finally, the model is built based on the best parameters obtained from the training set, and the optimized test data set is brought into the model to output the value of college students’ mental health assessment. The results show that the model performs best when the learning rate is 0.02, the tree depth is 5, the maximum number of iterations is 500, and the L2 regular term is 5. The XGBoost model predicts 4160 cases correctly and 286 cases incorrectly, with an overall correctness rate of 93.6%, and its corresponding ROC curve is closer to the y-axis, with an AUC value of 0.9154. By utilizing the XGBoost model, the model can accurately determine the mental health of college students. The mental health of college students can be accurately evaluated by models.
A Study of the Trinity of School Sports, Social Sports, and Family Sports in the Context of Information Theory
Authors: Weng You 
Published: February 2024

Abstract
Nowadays, the physical education of young people can no longer be accomplished independently by the school, it needs the family and the society to take the responsibility of educating young people together. This paper takes students, families, schools, and society as different cultivation subjects, sets up four different types of linkage factor questionnaires, and selects ten senior high schools and experimental elementary schools in L City as research objects to obtain corresponding research data. For the validity of the survey scales, factor analysis was used to analyze the exploratory factors of each scale, and its validation factors were tested for structural validity through structural equation modeling to determine the correlation between family, school, and social sports. The results showed that different metric factors could be extracted in student, family, school, and social sports, among which the five metric factors in the student scale were able to achieve 81.42% of the explanatory degree of students’ physical activity. The structural convergent validity of the student, family, school, and society scales exceeds 0.7, and the correlation coefficients of the “family, school, and society” trinity exceed 0.5. The ‘family, school, and society’ trinity can better promote the formation of physical education awareness among adolescents and ensure that they have a sense of physical education. The ‘home, school, and society’ model can better promote the formation of adolescents’ sports awareness and ensure that they have strong physical fitness.