bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of linear ordinary differential equations to the stability control of long time lag networks
Authors: Yao Haiyan 
Published: September 2023

Abstract
Optimal control based on the exact synchronization of linear ordinary differential equations can provide conditions for the existence of optimal control of long-time lag network stability. In this paper, we first generalize network control systems, time lag systems, and modern control system stability theory to discuss long-time lag network stability analysis and control problems. The numerical solution method for solving ordinary differential equations with boundary conditions is proposed by combining the numerical solution method for initial value problems of differential equations and the iterative method for solving nonlinear equations. Finally, the fixed-time synchronization problem of complex networks with time-varying time lags under periodic intermittent control is studied. Two intermittent control strategies are designed based on the linear ordinary differential equation algorithm, and the convergence analysis of the synchronization error and the synchronization criterion are given. Numerical values show that the synchronization error converges to zero (< 1.0e − 5) in 0.32s, while the convergence times are 0.55s and 0.90s. The fixed times of the three methods are calculated to be T
* = 0.52, T
1 = 0.71 and T
2 = 1.32, respectively, and the synchronization error system converges faster under the method in the paper. The numerical simulation results verify the effectiveness of linear ordinary differential equations in controlling the stability of long-time lag networks.
Research on digital reform of music education resources in universities in the context of data governance
Authors: Zhang Lifang 
Published: September 2023

Abstract
This paper proposes the use of the Hadoop-distributed file system HDFS as a storage system for large resources in music education. In order to improve the overall performance of HDFS for storing educational resources and to solve the deficiencies of the current system. This paper provides an overall analysis of the current state of research related to the placement algorithm and data storage strategy of HDFS, respectively. After combining the characteristics of educational resources themselves and establishing an educational resource value evaluation index system, an improved placement algorithm and a hybrid redundant storage strategy based on educational resource ratings are proposed, and the proposed algorithm or strategy is simulated and implemented and verified through source code analysis of HDFS-related algorithms. The results show that the average response time for uploading 10 songs is 7.734 s, and the average response time for image retrieval is 0.768 s. In the analysis of digital music education resources demand, teachers have the highest usage rate of music teaching theory (M=3.43), 38.45% of students’ demand is mainly for downloading music, and music lovers querying popular music has the highest percentage of 19.43%. The algorithm in this paper achieves the storage load balance of each node, which basically satisfies the demand for music education resources of teachers and students in universities.
Analysis of Spatial Pattern and Geographical Divergence Characteristics of Traditional Villages Oriented to Digital Landscape Technology
Authors: Zhu Yong , Han Guoqiang , Wang Lie , Yu Shuimei 
Published: September 2023

Abstract
In order to study the spatial pattern and geographical differentiation characteristics of traditional villages, this paper combines digital landscape technology to analyze the influencing factors of the distribution of traditional villages. Based on multi-source data, this paper reveals the spatial pattern and geographical differentiation characteristics of traditional villages with the help of GIS, RS and mathematical and statistical methods and systematically explores the inner mechanism and laws. It also combines digital landscape technology, which is in line with the trend of the times, and designs an image visual optimization model based on digital landscape technology so as to make the experimental analysis of the distribution of traditional villages more convenient. It is obtained that the 3D modeling errors using digital landscape technology are all lower than 1.12%, the 3D modeling errors of the overhead GIS 3D modeling method are between 3.21% and 4.58%, and the 3D modeling errors of the digital photography 3D modeling method are all higher than 4.82%. The distance from the urban center, population density, ethnic distribution, and average annual temperature was the main influencing factors, all of which exceeded the explanatory power of 0.4. Average annual rainfall, administrative center, and GDP per capita were the secondary influencing factors, with explanatory power over 0.15. Based on this study, the spatial distribution density of traditional socio-economic villages was more influenced by socio-economic factors, followed by physical geographic factors.
Research on service quality evaluation and improvement strategy of Chinese civil aviation based on DEA model
Authors: Wu Xiaohua , Yang Xiaobo 
Published: September 2023

Abstract
This paper aims to improve the service quality of Chinese civil aviation and objectively evaluate the service quality of Chinese civil aviation through the DEA model. Based on C
2
R model and C
2
GS
2 model, the DEA model is optimized and improved to establish C
2
WH model. Based on the principle of the gray correlation cone of constraints, a gray correlation cone of constraints DEA model is established, and the optimized DEA budget process is constructed. Using the gray correlation constraint cone DEA model to budget and evaluate the service quality data of Chinese civil aviation, combined with the data analysis, the strategy to improve IT intelligence and flight transit service level is proposed. The results show that the items of baggage claim speed, security check waiting time and the Internet have the lowest scores, which are below 4.40. Catering facilities and charges and flight information screen also scored low, below 4.45. The number of passengers checking in for their boarding passes through self-check-in is growing rapidly at a rate of 18%, with this segment exceeding 50% of total passengers. Airport signage optimization resulted in a 45% reduction in airport traffic. This study is beneficial to improve the science of service quality evaluation of civil aviation in China.
Analysis of the Construction and Course Effectiveness of the Online Course Platform for College Piano in the Background of the Internet
Authors: Xu Ruipin 
Published: September 2023

Abstract
Internet technology continues to develop and deepen, course learning methods present diversity, and piano courses are an important way for colleges and universities to carry out students’ musical quality training. In this paper, we first propose a behavioral sequence analysis method for predicting students’ online course performance in the context of the Internet for college piano online courses. The sequence-based prediction task is divided into two stages in total. In the first stage, the sequence characteristics of students’ online course learning behaviors are predicted by mining the potential expressions of the implicit layer through deep RNN. In the second stage, the support vector machine is used to create an optimal segmentation hyperplane. The SPC two-stage classifier is able to predict student course grades in order to identify students with learning crises in time. Then a layered MVC model is used to design the university piano online course platform system. Finally, the performance of the platform and the effectiveness of the course were tested. When the number of concurrent users reached 150, the success rate of the server in processing transactions remained at about 96%, and the pre-test and post-test of students’ piano scores showed that the mean value of score-reading skills was 34.32 in the pre-test and 45.63 in the post-test, with a mean value improvement of 11.31. The study showed that the online course client had high operational performance and the online course could effectively the study shows that the online lesson client has high performance and the online lessons is effective in improving the students’ piano performance.
Analysis of digital cloud accounting incorporating data mining technology in corporate investment decision making
Authors: You Lu 
Published: September 2023

Abstract
This paper analyzes enterprise investment capability based on quantitative analysis under data mining technology and selects cash flow as the key indicator of enterprise investment to make a predictive analysis of enterprise cash flow. The system of enterprise investment capacity indicators is constructed, and the relationship between cash flow and each quantitative is analyzed by the regression model. The case analysis of the enterprise financing structure and the risk of bank financial indicators were conducted separately, and the results showed that the financing structure of enterprise A was dominated by long-term borrowing, which accounted for more than 60% every year, followed by bonds payable, which accounted for between 10% and 30% every year. The return on assets of Bank A is between 15% and 20%, much higher than the other two banks.
Application of modern architectural color layout in interior design
Authors: Xue Lingya , He Caikao 
Published: September 2023

Abstract
In this paper, architectural color is analyzed, and architectural color perception based on matrix decomposition is constructed. Then, a matrix decomposition-based color layout recommendation model for modern architecture is constructed by determining the user’s architectural color perception interest points. In order to better apply the model to interior design, a 3D interior scene is built and the color of the interior is optimized with the help of cross-sectional ring blending, and the model is combined with interior color design to build an interior intelligent recommendation interaction design algorithm model. And through the experimental analysis of color layout intelligent recommendation, it is concluded that the algorithm constructed in this paper improves by 10.8% in the N@10 dimension and 11.2% in the N@30 dimension. When data are scarce, the robustness is 0.091 for the number of interaction experiments 0-15 times in the R@10 dimension and 0.067 for the number of interaction experiments 30-35 times in the N@10 dimension. People are 17% more satisfied with its interior color layout, 22% more comfortable, 19% more surprised, 18% less disappointed, and 24% more infectious. Modern architectural color layouts based on the Internet context can optimize the interior color design.
Airpak-based art and design talent training innovation model framework
Authors: Qiao Hui , Jang Dongyeul 
Published: September 2023

Abstract
In this paper, the 15 original variables of the Airpak-based influence factor scale for art and design talent training were first determined, and the five-level scoring method was applied to score the 15 influence factors. Then, we used factor analysis to factorize the data, standardize the sample data, construct a coordinate system with common factors, and use the projection of each variable in the coordinate system instead of the original variables to construct the correlation coefficient matrix R. Then, we solved the correlation coefficient matrix between each variable, selected the number of common factors, and calculated the eigenvectors of the factor loading matrix A to construct the influence factor analysis model. Finally, the model is used to analyze the weight of each influencing factor of Airpak-based art and design talent cultivation and to build an innovative path for talent cultivation. In terms of students’ own factors, the influence weight of learning enthusiasm on talent cultivation is 0.48, and the influence weights of learning achievement and design talent are 0.43 and 0.545, respectively; in terms of teaching level factors, the influence weights of teachers’ teaching ability, professional level and design experience on talent cultivation are 0.44, 0.5 and 0.37 respectively. The research of this paper has an important reference and reference value for the cultivation of art and design talents.
Online cloud management and quality monitoring of the whole process of undergraduate thesis
Authors: Huang Meizhong , Wang Yunpeng , Dai Xin , Chang Jing 
Published: September 2023

Abstract
The undergraduate thesis is an important practical teaching part of the undergraduate teaching program, and it is important to manage its quality. In this paper, an online cloud management system for the thesis is designed according to the requirement analysis, and the ARIMA model in time series is used to predict the number of thesis supervisors by the supervisor and give a reminder for the supervisor’s guidance decision. For the risk management of dissertation progress, a Bayesian network-based assessment method is proposed. From the perspective of dissertation similarity, a process of dissertation quality analysis based on the SimHash algorithm is constructed. The average error rate of ARIMA is only 0.190, which is optimized to a certain extent compared with other algorithms. 20 samples of the inference operation results have no sample with the probability of the dissertation progress delay level at High below 40%.
Exploration of the development path of university thinking and political education in the background of Internet
Authors: Li Siqi , Tang Xuemei 
Published: September 2023

Abstract
The effective development of Civic Education work in colleges and universities can promote the cultivation of high-quality talents. Starting from Internet information technology, this paper constructs a digital platform for Civic Education work, in which Shannon’s theory and balanced power allocation are used to optimize channel transmission and enhance the loading speed of Civic Education resources. The XGBoost algorithm is used to effectively cluster students’ learning behaviors as a way to help Civic Education workers understand students’ learning behaviors in Civic Education. The results show that the average response time is 0.327s, and the maximum throughput is 11849.478 bytes/sec. The prediction accuracy of the XGBoost algorithm for student learning behavior is 4.65%, 9.79%, and 21.79% higher than that of LR, RF, GBM, and Stacking classification models, respectively. 9.79%, 21.41%, and 13.5%, respectively. This shows that the university’s thinking and political education work can be developed through the direction of the digital Internet platform, which in turn provides a new research path for the reform and innovation of thinking and political education work.
Exploring the Innovation Practice of Teaching Civics Education in Universities in the Network Era
Authors: Li Siyang , Lin Jing 
Published: September 2023

Abstract
One of the key difficulties confronting universities today is how to use the current technology to raise educational standards and support educational reform. This is due to the ongoing growth of network technology. This study primarily explores the collaborative filtering recommendation algorithm-based recommendation model for college civics teaching materials. Analyzed are both the functional and non-functional demands for collegiate civic and political science teaching materials. For these requirements, the collaborative filtering recommendation algorithm is put out, and it is enhanced so that it may be applied in real-world settings. In order to execute the model, the system architecture and process are established, and the impacts of teaching interventions are used to examine the outcomes of the suggested practical teaching of civic and political science teaching materials in colleges and universities. The findings revealed that the p-values of the significance probabilities were, respectively, 0.056, 0.007, and 0.235 for the entrance exam and the first semester final examination, the entrance examination and the second semester final examination, and the first semester final examination and the second semester final examination. The collaborative filtering recommendation algorithm-based recommendation model for teaching resources recommendation of university thinking and politics proposed in this paper is effective in enhancing students’ learning autonomy and promoting the exchange of ideas. It has a certain effect.
Current situation and reform trends of physical education teaching evaluation in the context of deep learning
Authors: Miao Lianjin 
Published: September 2023

Abstract
Based on the conventional genetic algorithm, this work suggests an adaptive variation genetic algorithm (AGA), which increases population diversity and speeds up convergence by increasing variation probability. The entropy approach is used to first assess the caliber of physical education and to produce a priori assessment samples. It is combined with the AGA-BP model based on adaptive variation probability. The BP neural network is then utilized for assessment learning in the field of evaluating the quality of physical education. It is optimized by an adaptive variation-based genetic algorithm. Finally, student physical activity levels were assessed both before and after the physical education reform using a more thorough and scientifically based EM-AGA-BP teaching quality evaluation model. The findings revealed that, at 41.2% and 53.4%, respectively, the percentage of students’ static activity time after the reform was much lower than that before the reform. By using independent samples t-tests, each revealed significant differences (P 0.05).
Heterologous expression of Bacillus subtilis SL-44 glycosyltransferase catalyzed synthesis of ginsenoside Rh2
Authors: Zhang Yufei , Liu Xiaochen , Li Zhiyan , Yue Junsong , Pan Hong 
Published: September 2023

Abstract
In this paper, the synthesis of ginsenoside Rh2 was catalyzed by using heterologous expression of Bacillus subtilis SL-44 glycosyltransferase. The synthesis parameters of ginsenoside Rh2 were optimized by the selection of strains and chemical supplies, the establishment of kinetic equations for the respiration rate of UGT enzyme, the effect of storage temperature on the model, and the glycosylation reaction of ginsenoside PPD with UGT. The effect of Rh2 saturation on the thermal denaturation temperature of the protein was analyzed along with the kinetic properties of the enzyme GE02773 (GE03484) while varying the saturation of Rh2. The results showed that the conversion of ginsenoside Rh2 reached 84% at a temperature of 35℃, pH 8, 5% DMSO, 0.4 of M-UDPG, and 1M-PPD in reaction with GE02773. In this paper, we successfully achieved the efficient synthesis of ginsenoside Rh2, which provides new ways and ideas for the application and synthesis of ginsenoside Rh2, with important practical significance and scientific value.
The development of online and offline integration teaching of mental health education for college students based on sequential quadratic programming algorithm
Authors: Peng Juan , Gao Changfeng , Xia Jing , Li Xiaojun 
Published: September 2023

Abstract
This paper firstly focuses on the automatic detection of mental health in colleges and universities and the sequential quadratic programming algorithm, proposes a psychological abnormality detection model for college students based on the sequential quadratic programming algorithm, and in the feature vectorization process, uses constraint functions and coefficient matrices to process various types of features into vector sequences of length k weeks to help quantify the trajectory of students’ school activities, and trains and establishes a student psychological abnormality detection model. Then, on the technical basis of the psychological abnormality detection model, the mental health education system is constructed, the online and offline integration teaching development is realized through the teaching system, and the performance of the education system is verified. The results show that the average score of the traditional psychological teaching model 1-10 week test is 76.52, compared to the average score of 78.51 in the mental health education system teaching 1-10 test, with an error value of 1.89. This study uses the mental health teaching system to retrieve information on students with current mental health problems at any time, and there this is to realize dynamic online and offline coeducation.
Research on the scene design of virtual reality technology in film and television animation
Authors: Hu Qiaohong 
Published: September 2023

Abstract
In this paper, firstly, we study the modeling of film and television animation based on virtual reality technology and use quadratic polynomial inverse to control the intensity of light source to establish the lighting model. The image alignment is designed for the scene based on multi-resolution decomposition, and the filtered image layer is obtained by calculating the difference between two layers of Gaussian filtered images, and the Laplace pyramid is established to match the image resolution consistently. Then the scene is chunked and locally rendered, and a smooth transition between geometry and texture is achieved by morphing the geometry next to the texture. Finally, the scene effect, LOD detail level and interactive experience effect before and after simplification are compared and analyzed. The scene design of virtual reality technology basically scores 5-6 on each index, while the scene design of common technology only scores 3-4, indicating that the scene design of virtual reality technology works well.
Exploring the Functional and Semantic Fields of ‘Heaven’ and ‘Hell’ Conceptual Metaphors in Media News Headlines
Authors: Filyasova Yu. A. 
Published: September 2023

The research aims to conduct a functional analysis of the opposing conceptual metaphors ‘heaven’ and ‘hell’ within English headlines from BBC and The Guardian news between 1999 and 2023. The relevance of this study lies in the need to explore the lexical meaning of fundamental theological terms based on the unreal cognitive constructs in the context of evolving social paradigms. Various research methods were employed, including continuous sampling, classification, thematic analysis, definition analysis, and semantic analysis.The findings indicate that the conceptual metaphor ‘hell’ possesses a broader semantic field compared to ‘heaven,’ both in terms of definition and function. Metaphorical usage is prevalent, but headlines also feature ‘heaven’ and ‘hell’ within idiomatic, emphatic, allusive, direct, zeugmatic phrases, and contaminations. These metaphors encompass thematic areas with polar connotational meanings:Hell: Politics (political instability, struggle, political figure replacement, anti-crisis measures), Social life (reforms, discrimination, limitations, mandatory expenses), Crimes (abuses, threats, harassment, assaults, victims), Nature (natural disasters, difficult conditions, environmental catastrophes), Sport (injuries, competition, psychological attacks, overcoming), Entertainment (poor quality service, bad habits, imbalance, disruptions), Travel (unforeseen circumstances, transport collapses), Culture (culture shock).Heaven: Politics (political decisions, electoral victories), Social life (festivals, feasts, family relations, relationships between generations), Crimes (controversy resolution, search for solutions), Nature (biodiversity, renewal of nature), Sport (victories, lucrative contracts, goal achievement), Entertainment (parties, bright performances, romanticism), Travel (pleasure, rest, nature), Culture (acquaintance with outstanding cultural objects, visiting cultural events).This research demonstrates that the dichotomous representation of the conceptual metaphors ‘heaven’ and ‘hell’ is marked by polyfunctionality, driven by the universal evaluative component inherent in their meaning, rooted in the implied polarization of the concepts ‘good’ and ‘bad.’ The emotional and moral dimensions contribute to heightened news perception and effective communication within media discourse.