bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the change path of news dissemination under the trend of short-video convergence - Based on multi-priority dynamic thresholding algorithm
Authors: Zhao Mingwei 
Published: January 2024

Abstract
This paper proposes a multi-priority dynamic threshold algorithm for short video news transmission. The average queue threshold is dynamically adjusted according to the packet priority and unused cache space, and the data frames of short video news nodes are processed into multiple pulse data segments after the encoding process. The success rate and confidentiality of data transmission are improved by scrambling each segment of pulse data. Finally, after updating the thresholds at all levels, the overall thresholds of short video news are kept full to meet the performance requirements of the highest priority queue of short video news. The results show that 95.03% of the short video news with a high dissemination degree has a file size of less than 5 MB, and its video length is most popular among users in the range of 8~15 seconds. Compared to the traditional news dissemination mode, short video news is not limited by time and space, which greatly improves the efficiency of information dissemination.
Separate Equilibrium Game of Higher Education Management and Student Training in the Internet Era
Authors: Sun Yixin 
Published: January 2024

Abstract
This paper constructs an evolutionary game model by making relevant research hypotheses on higher education management and student cultivation with evolutionary game theory, selecting the evolutionary strategies of higher education management and students, and solving the expected returns of higher education management and student cultivation through the payoff function. A separate equilibrium game is solved for the replicated dynamic equations of the evolutionary game so as to better analyze the dynamic evolutionary game relationship between higher education management and student cultivation. The stability analysis of the evolutionary game model for higher education management and student cultivation was carried out, and numerical validation was performed using MATLAB software. The results show that when P
3+P
4+ T
3 < F, the benefits of both universities and students are higher than the costs, and at this time (1,1) is the evolutionary stability point, the university management and students learning by heart are the evolutionary stability strategy, and both sides tend to take a positive strategy. When the proportion of the university education management department choosing “attentive management” strategy is 0.9, its evolutionary path of students choosing “attentive learning” strategy proportion increases and then tends to 1, so as to reach a stable state. The best evolutionary stability point is achieved when the strategies of higher education management and student training choice are both 0.7 and 0.8 after the university incentive policy is introduced.
Research on path planning of self-driving vehicles based on improved DWA algorithm
Authors: Tang Xiaojie , Li Yuanlin 
Published: January 2024

Abstract
With the increasing degree of vehicle intelligence, unmanned vehicles have been widely used in civilian and military fields, which is of research value. In this paper, considering the vehicle dynamics constraints and the efficiency of the algorithm calculation to improve the DWA algorithm for the path of the self-driving vehicle, taking the intelligent vehicle node as the center of the circle and the sensor detection distance as the radius to extract the local map, combining the improved A* algorithm to fuse the DWA algorithm to carry out the local path planning at the key points, and through the design of the simulation experiments in the static and dynamic environments, the results show that, in the static environment of the simulation experiments The results show that in the static environment, the changes of the swing angle of the three vehicles fluctuate between -3 and 4, and the changes of the lateral speed of the vehicles fluctuate between -0.06 and 0.08, which are within a reasonable range of changes and satisfy the safety requirements. In the dynamic environment simulation experiments, the curve amplitude of the curvature similarity evaluation function in the improved algorithm is 40% less than that in the traditional algorithm, the number of iterations is 240 times less, and the car can reach the end point faster. This research can improve path planning accuracy, dynamic obstacle avoidance ability, and better path planning effect, which can be applied in the field of intelligent vehicles.
Changes in Music Curriculum Education in Colleges and Universities Based on Cloud Classroom Assistive Technology
Authors: Pan Jie 
Published: January 2024

Abstract
With the rapid development of science and technology, cloud classroom teaching has gradually become a trend. The cloud-based music teaching aid training system designed in this paper learns to map rhythmic and pitch features through music sequence generation technology. The onset detection algorithm of spectral flux detects the onset of the note. The Bezier curve is introduced into the melodic line feature generation algorithm to construct a polynomial function for interpolation between the first and the last endpoints, and the emotion is utilized to guide fractal music creation. Finally, the effectiveness of this auxiliary teaching system in college music teaching has been verified. The results show that the optimal Hamming distance of the system is 0.353 in the music melody generation experiment, which indicates that the system can quickly generate melody lines for students in music teaching and improve their learning efficiency. The system can significantly improve the rationality and efficiency of music skill training, which is worth promoting.
Research on the coupled and coordinated development of agroecological and agroeconomic theory systems in the context of digitalization
Authors: Gao Jie , Liao Wangke 
Published: January 2024

Abstract
This paper firstly constructs the matrix of eigenvalues of agricultural economy and ecological environment based on the original data, uses the entropy value method to judge the degree of dispersion of the indexes, determines the weights of the comprehensive evaluation index system of agricultural economy and ecological environment, and calculates the comprehensive scores of the agricultural economy and ecological environment system based on the weights of the indexes. Then, the synchronization development index model was used to express the coupled and coordinated development relationship between agroecology and agroeconomy. Finally, the regression analysis model was used to analyze the factors that affect the coupled and coordinated development of agroecology and agroeconomy. The level of agroecology in County A grew from 0.1 to 0.85, and the level of agroeconomy from 0.267 to 0.7. The value of agroeconomy and ecology coupling degree increased from 0.434 in 2010 to 0.683 in 2020, and it was gradually transformed from a dysfunction to a barely coupled one. This study deeply analyzes the influencing factors affecting the coupling and coordinated development of the agricultural economy and ecology, which is of great significance for promoting the high-quality development of the agricultural economy and maintaining ecological security.
Optimization of Food Processing Parameters Based on Parametric Models
Authors: Shang Zhuying 
Published: January 2024

Abstract
In this paper, a food processing process optimization model is constructed based on the improved particle swarm algorithm. By adding the chaos mapping strategy to the basic particle swarm algorithm, the optimization efficiency of the particle swarm under the constraints is improved. Combining the multi-objective optimization capability of the NDWPSO algorithm, the process parameter optimization process is constructed to optimize the parameters of food processing processes. The proposed method for process parameter optimization is applied to the vacuum drying process parameter optimization experiment of Jujube to test the effectiveness of particle swarm process parameter optimization. The results show that the diversity value and the best-adapted value of the NDWPSO algorithm in the single-peak function only use a small number of iterations to drop to a level close to 0, indicating that the NDWPSO algorithm has a faster convergence speed. In the vacuum drying process of jujube, the theoretical values of the optimal process parameters for freeze-dried jujube slices are: jujube slices thickness 5mm, sublimation drying temperature -22℃, resolution drying temperature 20℃.
Traceless Kalman filter threshold estimation for distributed power loads
Authors: Bao Chengjia , Zhang Tianyi , Hu Zhixi 
Published: January 2024

Abstract
Load forecasting is an important part of smart grid construction, energy management, and sustainable design of power systems, and has a great impact on the reliable operation of power grids, facility planning and other decisions. In this paper, we utilize the traceless transform of the UKF algorithm to obtain the sigma feature points generated by the mean value of the high-frequency wavelet components of the power signals and combine them with the EKF algorithm. We put forward a novel neural network hybrid Kalman TUKF algorithm, which will be used to carry out simulation experiments on the distributed electric loads and to estimate the threshold value of the loads in the numerical experiments. The results show that in comparison with the actual measurements, the TUKF algorithm improves by 34.7% in the RMSE metrics, 38.7% in the MAE metrics, and 40.6% in the MAPE metrics compared to the PFWNN. The TUKF algorithm is closer to the real curves and has the best prediction performance for all the time intervals of the prediction. The change of the threshold value has a more obvious effect on the prediction accuracy, and the best effect is in the scale δ = 0.5, i.e., the threshold frequency is selected as the middle value of the intermediate frequency.
A Comparative Study of Aesthetic Differences between Guangxi Folk Dance and ASEAN Dance
Authors: Tang Yi , Chen Zhou 
Published: January 2024

Abstract
Clarifying the aesthetic differences between Guangxi folk dance and ASEAN dance can promote the in-depth exchange of dance art and culture between the two. In this paper, the aesthetic characteristics of Guangxi folk dance and ASEAN dance are discussed, and the HRNet network is used as the basis, combined with the sequence multi-scale feature fusion and the PCA action gesture segmentation model for the action gesture estimation. The dataset was constructed according to different kinds of Guangxi folk dance and ASEAN dance, and the aesthetic differences between Guangxi folk dance and ASEAN dance in terms of intrinsic culture and extrinsic performance were analyzed using the dataset. The results show that on the inner culture, Guangxi folk dance is mainly based on traditional culture and folk customs. ASEAN dance is more influenced by religious culture, although it has differences, but the correlation coefficients of emotional expression and national custom are 0.963 and 0.954, respectively. On the outer manifestation, Guangxi folk dance has as many as 11 kinds of action dance forms, while ASEAN dance emphasizes more on The ASEAN dance emphasizes more on the “flat, taut, straight and standing” forms. The aesthetic differences between Guangxi folk dance and ASEAN dance can promote the exchange and integration of dance art and culture between the two and provide a good artistic foundation for the in-depth promotion of the Belt and Road.
Analysis of Digital Transformation of E-commerce Enterprise Management and Enterprise Development Prospects Based on Carbon Neutral Targets
Authors: Sun Hao 
Published: January 2024

Abstract
This paper introduces the green technology innovation capacity under the carbon neutral goal as the dependent variable and makes research hypotheses on the digital transformation of e-commerce enterprise management and enterprise development. The research hypotheses model between the three is constructed by both quantile regression and multivariate linear regression, and the panel threshold adjustment model between green technology innovation capacity, digital transformation and enterprise development is given. Empirical evidence is used to verify the relevant influencing factors of digital specialization and enterprise development of e-commerce enterprise management under the carbon neutral goal from multiple perspectives, including correlation test, benchmark regression, quantile regression, and panel threshold adjustment test. The results show that the correlation coefficients between the potential variables of the model are all below 0.1, suggesting a significant correlation. The 1% level showed significant differences in the ability to innovate green technologies, digital transformation of e-commerce enterprise management, and high-quality enterprise development. The single threshold value of green technology innovation capacity on the ability of e-commerce enterprises to manage digital transformation is 1.6829, and the double threshold value on the high-quality development of enterprises is 0.6572 and 1.6847, respectively. The green technology innovation capacity of e-commerce enterprises needs to be strengthened under the goal of carbon neutrality in order to promote the digital transformation and high-quality development of e-commerce enterprises.
Construction of International Trade and Investment Platform Based on Artificial Intelligence Technology
Authors: Yan Nan 
Published: January 2024

Abstract
This paper completes the implementation of the risk control module of the international trade investment decision-making module through the construction process of the programmed international trade investment platform. Combining the decision tree algorithm and logistic regression algorithm to categorize and screen the factors affecting the fluctuation of international trade stock prices to obtain the international trade market fundamentals and technical factors that have a significant impact on international trade stock prices. The Kalman filter model is applied to improve the effective market factors screened so that the factor selection of the international trade investment model is more advantageous. After constructing the platform, in order to reflect its convenience, the RE, OLS, TI, TVD and BC models were used to analyze the export trade efficiency of the home country, respectively. The results show that the degree of facilitation of the host country’s trade and investment platform is positively correlated with the loss of the home country’s export trade efficiency (0.043), which is statistically significant at the 1% significance level, and that the loss of the home country’s export trade efficiency increases by 4.3% for every 1 unit increase in the degree of facilitation of the host country’s trade and investment platform. The construction of the international trade and investment platform increases the facilitation of export trade from trading partner countries to the host country, which indirectly increases the export trade efficiency loss of the home country.
Construction and Confirmation of Digital Literacy Assessment Framework for Leading Cadres
Authors: He Jian , Ling Jin , Hou Rui 
Published: January 2024

Abstract
This paper establishes the assessment framework of digital literacy of leading cadres based on digital competency and uses gray correlation analysis to solve the correlation degree and get the weights of assessment indexes. Based on the multi-factor gray target decision-making model to realize the comprehensive evaluation of digital literacy of leading cadres and introduce the extreme learning machine to optimize the optimal solution of its bull’s-eye distance. The digital literacy assessment framework of leading cadres given in this paper was validated by taking leading cadres in the government service center of G province as an example. The results show that the Cronbach’s alpha coefficient value of the digital literacy assessment framework for leading cadres constructed in this paper is 0.906, and the KMO value is 0.956, with good structure and reliability. Digital communication and collaboration, digital problem processing, digital security and ethics in the digital literacy assessment framework of leading cadres have an interpretive degree of 72.86%, and the multi-factor gray-target ELM model can be used to comprehensively evaluate the digital literacy of leading cadres, with a comprehensive evaluation score of 73.12 points. The digital literacy assessment framework for leading cadres gives a certain evaluation basis for the construction of digital government and provides a reference for improving the digital capacity of leading cadres.
The Embodiment of Digital Art Elements in Traditional Cultural and Creative Product Designs
Authors: Zheng Dongdong 
Published: January 2024

Abstract
In order to extract the image path of traditional cultural and creative items, we set the binary image target of such products to be black and the backdrop to be white in this research. We followed the use of image vectorization processing technology. In order to address the issue of edge jaggedness in the traditional cultural and creative product image path extraction process, polygonal contour fitting is utilized to optimize the image paths of these products, resulting in the creation of a vector map of these products. The PCA point cloud alignment technique is used, based on the vector map of traditional cultural and creative products, to identify the attributes of these items and build a model of their traditional cultural and creative product design that incorporates digital art. After choosing dependent and independent variables, traditional cultural and creative product design, including digital art aspects, is studied and analyzed using linear quantile regression. The findings demonstrate that all of the value-added ratio’s coefficients are significant and bigger at the 0.2 and 0.95 quantile points, suggesting that raising the ratio can aid in the merger of digital art and more established creative and cultural sectors. The medium (M=3.586) and small standard deviation of the traditional cultural and creative items incorporating digital art suggest that the use function and cost-effectiveness of these products have a stronger influence on purchase motivation. This research encourages the fusion of digital art components with conventional cultural and artistic output in order to give traditional culture a fresh lease of life in the information era.
The Intervention of Digital Media Technology on the Visual Language of Radio and Television
Authors: Shen Hongyan , Zhou Yanshuang , Dai Jiarui 
Published: January 2024

Abstract

This paper first explores the changes brought about by the convergence of digital media technology and radio and television. The SIFT feature extraction method is proposed based on the image signal characteristics, and the convolution operation is done on both the extracted image and the Gaussian kernel. In order to ensure the accurate localization of the key points of the image, the method of quadratic Taylor expansion of the DoG function is utilized to remove the unstable points, thus obtaining the accurate localization of the key points. Next, a 128-dimensional SIFT feature vector is generated by specifying the direction reference of the key point, and a visual dictionary is constructed on the basis of the generated feature vector. The impact of digital media technology on language intervention in radio and television is investigated through quantitative analysis and case studies. The results show that the scores of the image features after SIFT processing are in the interval of [13.342, 15.636], which is the highest score among the three methods, and the effect is better. The global digital media news parameter works increased by 240 works from 2013-2014 and reached the peak state of 732 works in 2021, and the public’s recognition of the visual language visualization of digital media news increased.
Application of information fusion technology to build knowledge service model of university smart archives
Authors: Wei Xiaolin 
Published: January 2024

Abstract
Based on the SERVQUAL evaluation model, this paper examines the characteristics and service model of university archive services and establishes a knowledge service model framework for university smart archives. The service framework utilizes information fusion technology to quantitatively analyze the archive situation through the combination of 6 dimensions and 23 secondary indicators. One of the key points is to combine the whitening weight function of upper and lower limit measurements and the central whitening weight function to form a grey clustering algorithm in order to solve the “cliff” effect of the whitening weight function of the traditional upper and lower limit measurements. After the development of the system was completed, the index weights were first calculated by means of a questionnaire and then practiced in the school. The results show that responsiveness has the highest weight, 0.8612; security is second, 0.6321. And tangibility is the last, only 0.1792. The first college scored 0.461 in C1, and the second college scored only 1.87 in E1, which pulled the average score of the first-level index to 4.52. After the practice, the survey proved that the system meets the needs of the college and can point out areas for archive improvement. Archives improvement direction.
Research on the teaching innovation path of art design based on big data technology
Authors: Xu Jie 
Published: January 2024

Abstract
Art and design, as a professional field closely linked with market demand, is imperative to reform the teaching mode. In this paper, the concept of constructivism is incorporated into the professional education of art design, and a new teaching framework is established through the guidance of teaching concepts. Secondly, the RGB color model is applied in the teaching of color design, and the beauty of the color scheme is calculated through the Berkhof equation in color harmony so as to improve the color-matching ability of students’ art design. Big data analysis is used to evaluate the students’ design works comprehensively. Finally, taking College H as an example, the effectiveness of computer-aided teaching in graphic arts design is analyzed, and the impact of the method on the employment of graduates is verified. The results show that in the experimental group using computer-assisted teaching and the control group of traditional teaching mode, the average grade difference is 17.91 points, Sig=0.003. The difference is significant, which indicates that computer-assisted teaching significantly improves the students’ art design professional ability. This innovative model has a significant impact on the enhancement of art design majors in colleges and universities and provides a practical path for innovative artistic design teaching.
Determination of the Worst Case for the Ballistic Test of the Soft Armour System Using the 9mm FMJ Bullets Differing in the Structure
Authors: Góreczna-Skrzyńska Emilia , Łandwijt Marcin , Kubiak Paweł , Struszczyk Marcin H. 
Published: January 2024

Abstract
Ballistic tests require significant rigor and the development of a worst case model during the research processes. The purpose of this study was to evaluate the effect of bullet type (manufacturer) on V50 and Behind Armor Blunt Trauma (BABT) results for two ballistic applications: p-aramid and UHMWPE fibre. The results confirmed the thesis that the source of the bullets implies the test results obtained in terms of the number of penetrated layers in the ballistic system, backface signature deformation profiles (p-BFS) and the level of residual energy transferred to the user of the personal protection.