bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the influence of new media on the ideological and political education of college students in the background of the Internet and countermeasures
Authors: Meng Tingting 
Published: September 2023

Abstract
This paper constructs a new media for college students’ ideological and political education cloud platform based on the Internet background to enrich the ideological and political education content of college students. Firstly, the online teaching system is realized through the semi-structured database HBASE module and relational database MySQL module to use; secondly, the BP algorithm is used to inform the management data of college students, and the serial mode and batch mode in the BP algorithm is used to improve the data mining efficiency, and finally, the system is tested for data. The results show that the cloud platform education system constructed in this paper can reach the highest score of 6.4 for teachers’ teaching orientation, teaching programs, and students’ recognition, with 82.4%. And the average scores of the students in the experimental group in the professional course and the Civic Science test are 10% and 20% higher than those in the control class, respectively, and the average score can reach 45.9 on the dynamics of teaching behavior. Thus, it can be seen that the cloud platform constructed in this paper helps to promote the high-quality development of the teaching of Civics for college students and effectively improve the teaching effectiveness of Civics.
Analysis of the Factors Affecting Innovation and Entrepreneurship of College Students Based on TRIZ Theory
Authors: Tao Qifu , Zhuang Xiong 
Published: September 2023

Abstract
This paper aims to analyze the influencing factors of innovation and entrepreneurship of college students. By studying the framework of the TRIZ theory system, this paper summarizes the common principles of entrepreneurship, realizes the construction of a conflict matrix, establishes entrepreneurship evaluation indexes, and determines the weights of evaluation indexes by constructing a judgment matrix. Then, based on the theory, the influence of each factor on the innovation and entrepreneurship of college students is analyzed in terms of participation status, main obstacle factors, personal trait influence, market influence, and social and governmental support. As for the influence of main external factors, 43.57% of students chose “shortage of funds for innovation and entrepreneurship”, 42.04% of students chose “lack of creativity and cannot find a good direction for innovation and entrepreneurship”, 37.45% of students choose 37.45% of students chose “lack of good innovation and entrepreneurship projects and innovative teams”. In terms of personal traits, innovative thinking, stress resistance, social experience, leadership and coordination, risk tolerance, self-efficacy, and self-drive all affect the decision and effect of entrepreneurship. Support from the government and society is also beneficial for college students to carry out entrepreneurial activities. Innovative entrepreneurial ability is a comprehensive ability influenced by multiple factors and needs to be considered comprehensively in the analysis.
Research on the path of enterprise management innovation based on multiple logistic regression model
Authors: Li Daoyang , Xu Shaofu 
Published: September 2023

Abstract
Exploring the path of enterprise management innovation is to help enterprises transform and upgrade faster and better. This paper first explains the principle of logistic regression, introduces the definition of the multiple logistic regression model, and describes the algorithm for estimating regression parameters using the great likelihood method. Then, an extreme gradient boosting XGBoost model is introduced and combined with the multiple logistic regression model; an MLR-XGBoost model is constructed to analyze the enterprise management innovation path. The MLR-XGBoost model is used to analyze the correlation between the indicators and corporate management innovation by using the MLRXGBoost model. From the data on strategic control integration and cultural reconstruction capability, the correlation of infrastructure guarantee construction capability and entrepreneurial leadership accounted for a higher percentage, 79.74%, and 61.32%, respectively. From the data on organizational structure reengineering and business process coordination ability, the correlation of implementation process standardization ability and business operation visualization ability is higher, 76.58% and 70.28%, respectively. The MLR-XGBoost model can effectively analyze the path of enterprise management innovation and help enterprises achieve transformation and upgrading faster.
A Hidden Markov Model-Based Network Security Posture Prediction Model
Authors: Yang Xiaoping 
Published: September 2023

Abstract
As a key technology of network security situational awareness, this paper focuses on network security situational prediction technology and proposes a new network security situational prediction model based on Hidden Markov Model. The paper proposes a network security posture prediction method based on the improved Hidden Markov Model for the problem that the Baum-Welch parameter training method of the traditional Hidden Markov Model for posture prediction is sensitive to initial values and easily falls into local optimum. The method obtains the initial parameters by introducing the simulated annealing algorithm and using its excellent probabilistic burst-jump property to find the optimal in the global range. The Baum-Welch algorithm is used to optimize the initial parameters further to obtain the optimal model parameters, and then a more accurate posture prediction model is established. The probability of occurrence of the alarm information sequence corresponding to the network security posture value of 3 at t= 4 is obtained by simulating the network environment for testing, which is 0.000268, 0.000152, 0.000147, 0.000284, and 0.000187. Comparing the generated network security posture values with the real situation, it is found that the predicted results in this paper are highly similar to the real values. It is verified that the improved Hidden Markov method can effectively improve the accuracy of the network security posture prediction model and reflect the network security situation more objectively and realistically.
The impact of the financing structure of cultural enterprises on enterprise value under the ACC payment model
Authors: Sima Honghao 
Published: September 2023

Abstract
To avoid financial risks, this paper validates the relationship between EV the two based on enterprise value ( EV ) as the dependent variable, and the indicators of debt financing and equity financing structure models as independent variables. Firstly, we introduce interaction terms and panel threshold regression to verify the effect of debt financing structure on enterprise value. Subsequently, a multiple regression results approach is used to verify the impact of equity financing structure on firm value. The analysis of the results shows that the impact of debt financing on enterprise value is divided into four levels at the nodes of 17.876%, 43.294%, and 74.312%, and the higher the level, the smaller the promoting effect, and the larger the inhibiting effect; the impact of equity financing on enterprise value is positively correlated with a correlation of 0.3652, and the higher the concentration of equity, the larger the promoting effect. Overall, equity financing has a greater facilitating effect and lower risk for cultural enterprises compared to debt financing, and to a certain extent, it enables enterprises to actively embrace the market, improve the product effect power, innovate and develop, and increase the growth of enterprise value.
Exploring the Practice of Cultivating Business English Talents from the Perspective of Artificial Intelligence
Authors: Hu Ruoxi , Xie Dan 
Published: September 2023

Abstract
In the context of the development tendency of artificial intelligence, the paper describes the opportunities and challenges artificial intelligence brings to business English talent training, innovates and reforms innovative business negotiation talent training methods, and develops independent innovation according to the future development trend of artificial intelligence. The paper discusses the practical activities of training business English talents using artificial intelligence. It mainly focuses on the indicators of building the entity model of business English talents training through artificial intelligence technical RBF ne ural network, grasping the genetic algorithm from four aspects such as the number of gender chromosomes, integral function formula calculation, genetic algorithm, RBF neural network parameters to optimize the entity model and genetic algorithm, and optimizing the limitation of RBF neural network according to the genetic algorithm. The RBF neural network entity model with the genetic algorithm is used to implement detailed analysis and scientific research exploration of the business English talent training evaluation system. The database deviation index and precision index values under the two entity models were implemented for comparison operation. The experimental results show that under the deviation index, the RBF neural network entity model, according to the genetic algorithm, converges quickly and longer than the RBF entity model. Regarding the precision index, the genetic algorithm RBF neural network has a higher precision than 0.94 for every 60 teams, while the RBF model has a precision of 0.84. This research allows for a more accurate analysis of the strengths and weaknesses of school students in business English. Teachers need to improve their academic performance and quality based on their strengths and weaknesses to facilitate the shaping of more excellent business English talents for China. It is important to explore the way of training business English talents under artificial intelligence to accelerate the innovative development of English education and training in China and the trend of English development.
Simulation analysis of asset pricing based on the Gaussian process
Authors: Nong Jingping 
Published: September 2023

Abstract
This paper simulates and analyzes asset pricing based on the Gaussian model, simulates stock price paths under the Heston model, B-S model, and Gaussian model using the Monte Carlo simulation method, and compares with the real path. The difference between the Heston model, the B-S model, and the real value for predicting KIA financial assets is greater than 0.6, while the difference between the Gaussian model and the real value is less than 0.25. The difference between the Heston model, the B-S model, and the true value of Shenzhen Holdings’ financial assets is greater than 1, while the difference between the Gaussian model and the true value is less than 0.35. Similarly, the difference between the Heston model, the B-S model, and the true value of Shun Tak Group’s financial assets is almost greater than 0.60, while the difference between the Gaussian model and the true value is less than 0.35. It can be seen that the Gaussian model is closer to the true value than the Heston model and the B-S model, so it is reasonable and effective to use the Gaussian model to price financial assets. This study not only presents a new basis for theoretically studying financial asset pricing but also provides a theoretical basis for applying option pricing in risk management.
Exploring the design of ecological and energy-saving residential buildings adapted to climate change based on a simulated annealing algorithm
Authors: Zhang Hui 
Published: September 2023

Abstract
In the context of the digital development of big data and information in recent years, performance-based residential building design and its optimization methods have gradually become a research hotspot of domestic and international attention. The simulated annealing algorithm is a major component of residential buildings’ optimal energy efficiency design. Although the crossover operator under the computational traditional simulated annealing algorithm incorporates the respective advantages of the genetic algorithm and simulated annealing algorithm, the purely optimal genetic simulated annealing algorithm is more effective for the evaluation of index analysis and better reflects the superiority of the algorithm. In the Energy Plus model, the three algorithms were used to analyze the design indexes of ecological energy-efficient residential buildings, and the SS values of the MOSA algorithm fluctuated between 10% and 24%, and the performance of the recommended genetic simulated annealing algorithm was significantly better than the other two algorithms. This study effectively solves the difficulties of low efficiency and high failure rate common in design practice when using this technique and is of historical importance to the development of energy-efficient residential buildings in China.
Research on the implementation path of industrial structure optimization in Fujian Province under the goal of “double carbon”
Authors: Zhu Yanling , Liu Chen , Yue Dazhi , Xie Jiemeng 
Published: September 2023

Abstract
Facing the dual pressure of domestic environmental pollution and international climate change mitigation, China, the world’s largest emitter of carbon emissions, has proposed a “double carbon” target of 3060. Fujian Province is a clean energy province and a major economic province in southeastern China, with inherent energy conservation and emission reduction advantages. However, as industrialization is still in progress and urbanization is accelerating, the problems of low industrial level and sloppy development are still prominent, and the future low-carbon transformation will be difficult and long. Based on the theory of industrial structure optimization and the theory of low carbon economy, this paper analyzes the influence mechanism of industrial structure optimization on carbon emission from three perspectives: efficiency improvement, technological progress, and structural adjustment. Secondly, an econometric model is constructed by combining the environmental Kuznets curve, and the time series data of Fujian Province from 2000-2021 are analyzed empirically to derive the optimization path of industrial structure on carbon emissions in Fujian Province through co-integration analysis, multiple regression, mediating effect analysis, and robustness testing methods. The results of this paper show that from the structure of energy consumption in Fujian Province, coal and oil consumption account for 72% of the total consumption, which is the main cause of carbon emissions in Fujian Province. The mediating effect and stability analysis of the optimization path through the benchmark regression model shows that the p-value variance is 0.0862, and there is no significant difference between them. The optimization path proposed in this paper has significant utility for carbon emission reduction, improves the efficiency of energy use, strengthens the introduction of FDI and industrial structure optimization in various regions of Fujian Province in a targeted manner, and provides a reference for decision-making for global industrial structure optimization and upgrading.
Legal Risks and Prevention of the Sharing Economy Based on Artificial Intelligence
Authors: Dai Nana 
Published: September 2023

Abstract
To solve the conflicts between the transparency of capital and current restrictive regulations and regulations regarding consumers’ right to claim information and safety, this paper studies the legal risk and prevention path of the transparency of capital due to artificial intelligence. Firstly, the legal risk ways and means of the transparency of capital are constructed by the combined algorithm of SVR, BP, and RNN under the artificial intelligence algorithm, focusing on data tracking before and after the rectification of sharing enterprises with the combined algorithm of BP neural network and RNN to test whether the preventive measures are effectively implemented in place, and then the legal risk prevention path based on the government and enterprise levels is derived. The study concludes that shared travel legal disputes are rising between 2018 and 2022. Among the 10 types of violations sampled for investigation, age information was accessed in violation of the law the most, reaching 53,607,900, and the least in comparison, precise location information was accessed in violation of the law, 1,029,000. After warnings by government departments, the overall violations by enterprises after rectification were on a downward trend, with the incidence of violations controlled between 28.1% and 43.2%. The research on the legal risks of sharing economy in this paper has realistic value and reference significance to the legislation of transparency of capital.
The information dissemination path of the sense of community of contextual beauty universe based on the hierarchical analysis method - the science fiction film “Dune” as an example
Authors: Ai Hongjuan , Ding Pei , Moon Hyoun-Sun 
Published: September 2023

Abstract
Since its introduction into China, the film Dune has sparked heated discussions among Chinese moviegoers. This paper explores the sense of cosmic community embedded in Dune, and its cinematic aesthetics conveyed to audiences through the information dissemination path. This paper identifies the hierarchical analysis method as the main research method, first identifies the definition of cosmic community in terms of content, and then conducts an appreciation of the sense of cosmic community in the contextual beauty of “Dune”. The algorithmic framework is established by building a model of the hierarchical analysis method, while the priority weight allocation coefficient is calculated afterward to determine the priority weight of the program, and the results are evaluated using the fuzzy preference evaluation method. The data showed that the highest ratio of movie viewers who liked science and technology very much or more was 36.09% and 35.49%, respectively, while the ratio of movie viewers who were interested in the topics of universe and space exploration was 48.8%. The rating screen effects and movie music scored out of 10, and the average audience rating was above 8.2. And Dune belongs to the topic of cosmic exploration, indicating that at least in terms of the movie audience, Dune already has a large audience base in the early stage, which is one of the sources of the movie’s enthusiasm. This paper is feasible and meaningful to explore the research direction of Dune’s cosmic community of contextual beauty from the contextual level.
Analysis of the factors influencing the metabolic risk of students’ body functions in physical education institutions and the construction of a diagnostic model
Authors: Wang Kaiyin , Xie Qian 
Published: September 2023

Abstract
As a critical transition period from adolescence to youth, college students’ health behaviors, and physical forms are gradually maturing, and nowadays, college students’ obsession with smartphones largely causes great harm to their body function metabolism. This paper mainly evaluates and analyzes the physical function metabolic risk of college students in physical education institutions themselves by linear regression model and least squares method, studies the correlation between body fat percentage and physical fitness and functional metabolic risk of college students, analyzes the mediating effect of body fat percentage between physical fitness and physical function metabolic risk, and finally analyzes the body fat percentage, physical fitness and joint indexes of different genders. The results showed that the physical fitness index, including grip strength index and maximal oxygen uptake, could significantly diagnose the functional metabolic risk of college students. There may be professional and gender differences in grip strength index and maximal oxygen uptake to diagnose functional metabolic risk in college students. This study provides a reliable theoretical basis for coaches’ training programs.
Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model
Authors: Li Xue , Li Ling , Hu Binfeng 
Published: September 2023

Abstract
The establishment of an industrial benefit distribution mechanism for reservoir migrants in water conservancy and hydropower projects is a crucial part. This paper establishes the logistic regression model with gradient descent by deriving the objective function and using the gradient descent method to solve its approximate solution. Then, the model is applied to predict the total income and total expenditure of reservoir migrants before and after agricultural resettlement and tertiary resettlement, and the criteria for benefit compensation distribution are given based on the comparison before and after relocation. In the case of agricultural resettlement, the average share of equal compensation in the first 5 years accounts for 54.67% of the predicted income, and the predicted average annual growth rate of net income per capita is 17.86% with a discount rate of 3.12%. In the tertiary placement case, the predicted growth rates of wage income in the first 5 years are 7.49%, 4.84%, 10.56%, and 1.15%, respectively, and the average annual growth rate of transfer income is 7.01%, and the average annual growth rate of government subsidies is 0.80%. The prediction accuracy of the logistic regression model based on gradient decline reached 84.14%, and the analysis of the distribution of industrial benefits for reservoir migrants was credible. To let the living standard of migrants recover and exceed the level of non-relocation as soon as possible, it is necessary to give migrants certain compensation for production and life recovery based on the living standard measurement index.
Research on the evaluation system and satisfaction of cruise tourism in China based on the decentralized Internet
Authors: Qu Chao 
Published: September 2023

Abstract
Chinese cruise tourism is still in its initial stage, and the research on its evaluation system and satisfaction is not deep enough. In this paper, based on the decentralized, self-organizing net architecture, the network elements are defined, the formal representation of the network node index is studied, and the interests of the network nodes are abstracted as interest summary fingerprints to establish the decentralized network model. Then, the model was used to analyze the tourist satisfaction, trip evaluation, and high-frequency review terms of the head brands of Chinese cruise tourism. On average, 65.51% of cruise tourists rated themselves as satisfied and above, and 19.41% were dissatisfied. The average ratings (on a 5-point scale) of cruise ships on accommodation, dining, service, and entertainment are 4.49, 4.19, 3.91, and 3.93, respectively. The top 3 high-frequency words in tourists’ reviews are “restaurant”, “shopping,” and “tour escort”, and the weight of the first-level indicators of the evaluation system is (0.137, 0.296, 0.256, 0.311). This study has enriched the research method and content of cruise tourism satisfaction, and the constructed cruise tourism satisfaction evaluation system can better reflect the needs of tourists and be more timely.