bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on teaching basketball free throw action process based on motion vector field transformation
Authors: Wang Jingran , Li Wenyi 
Published: August 2024

Abstract
Free throw shooting is an important training program for athletes, as well as the most effective way to score in the game. The study uses the 3DRS model to figure out the initial motion, fixes the vectors by figuring out the weighted bidirectional motion and smoothing the motion vectors, adds adaptive motion compensation, and suggests a way to look at training videos for free throw shooting that is based on changing the motion vector field. We test different video sequences using this paper’s algorithm and other algorithms, and compare the effects of free throw prediction before and after the motion vector field transform algorithm. We also select basketball players to conduct control experiments to investigate the effectiveness of this paper’s motion vector field transform algorithm. Our research shows that the average PSNR and SSIM values for different sequences are higher than those of other algorithms by 6.16% to 7.00% and 4.50% to 5.00%, respectively. Using the motion vector field transform also makes free throw prediction 4.3% more accurate overall. Another thing is that the athletes who were taught using the motion vector field transformation algorithm got 19.23% and 16.07% better at hitting free throws and other technical measures. This shows that the algorithm in this paper can be used in real life to teach basketball free throw shooting moves.
Multi-dimensional model analysis of Li traditional sports culture inheritance and innovation in the context of non-heritage protection
Authors: Sun Jicheng , Liang Lifeng 
Published: August 2024

Abstract
Examining Li traditional sports culture’s inheritance and innovation status from the non-heritage perspective can guide its further inheritance and development. This paper measures the level of inheritance and innovation of traditional sports in the Li ethnic group using a multi-dimensional analysis perspective. A consumption-based inheritance mechanism is proposed to assess the impact of traditional culture inheritance from the consumption perspective. The measurement indexes are standardized, and weights are assigned objectively to them to obtain the development index of the sports and culture industry of the Li ethnic group through the use of the entropy weight method. Synthesizing the characteristics of the sports and culture industries, a quantitative assessment model of the consumptive inheritance effect is constructed, and the DEA benefit index of the Li sports industry is measured simultaneously. Based on the three dimensions of emotional value, innovative development of the cultural sector, and cultural protection and inheritance effect, a quantitative assessment of Li sports culture’s inheritance and innovation effect is conducted. Through the model, the development value of Li sports resources was calculated to be 75.51 points, which has achieved good results while preserving cultural heritage. In the comprehensive effect of Li traditional sports culture protection, the scores of cultural and social benefits are 8.89 and 8.48, respectively, at a reasonable level. Still, the economic benefit is only 4.28, the lowest among the three dimensions. The study acknowledges the problems that persist in the inheritance of Li sports culture and recommends an efficient path for development.
English Talent Cultivation System and Quality Assessment in Cross-cultural Perspective
Authors: Du Juan , Li Yan , Li Jing 
Published: August 2024

Abstract
The cross-cultural perspective emphasizes the principle of cultural equality, stresses the change of concepts, and seeks to cultivate high-quality talents in the needs of the new era. This paper analyzes the necessity of cross-cultural identity in English talent cultivation, analyzes the curriculum system of English professional talent cultivation based on the cross-cultural perspective, and constructs the professional cultivation practice links complementary to the primary and secondary lines. Utilizing the CIPP evaluation model, we build the four assessment links of background assessment, input assessment, process assessment, and outcome assessment for English talent cultivation quality assessment, and we select the improved hierarchical analysis method to calculate the weights of the indicators. The actual teaching quality of English talent cultivation in colleges and universities is determined by the scores of students and teachers on the assessment indicators. Suggestions and demands are being put forward for the English talent cultivation system. The analysis obtains that among the four first-level indicators, the scores of English talent cultivation evaluation are, in descending order, the assessment of talent cultivation results, the assessment of talent cultivation process, the assessment of talent cultivation inputs, and the assessment of talent cultivation background, in which the total score of English talent cultivation quality evaluation is 4.325, which is at a reasonable level.
Research on the new challenge of the Internet of Things technology to the regulation demand of urban management administrative law
Authors: Zhang Renjing 
Published: August 2024

Abstract
In order to cope with the problems and new challenges arising from the application of Internet of Things (IoT) technology in urban management and to put forward corresponding administrative regulations, this paper explains the concept of IoT technology. And put forward the Internet of Things, radio frequency identification, wireless sensor networks, and other key technologies as the main level of the system architecture. Also, the perception layer, network layer, and application layer are the main levels of the system architecture. At the same time, it explains the specific characteristics of IOT technology and its specific applications in urban planning, transportation, medical care, family, and agricultural management. Zhoushan City, Zhejiang Province, China is chosen as the research object to analyze the application of IoT technology in urban management. The overall index score of Zhoushan City’s IoT city management construction is mainly concentrated between 60% and 70%, in which the scoring rate of the secondary indexes under the first-level index of the city’s intelligent governance regulations is relatively low, all below the 62% level, with an average value of less than 4. In the problem of information silos and shortage of talent, the mainstream opinions of Zhoushan City’s residents are “IoT applications are numerous and complex” and “lack of IoT applications”, respectively. In the problem of information silo and talent shortage, the mainstream views of Zhoushan residents are “the variety and complexity of IoT applications” and “the lack of protection mechanism for talents”, accounting for 68.64% and 58.12%, respectively, and 68.87% of the residents have not used IoT applications.
The positive effects of digital media design combined with AI intelligence on art brand planning and promotion
Authors: Jin Xiaolei 
Published: August 2024

Abstract
With the development of science and technology, digital media and AI intelligence are currently spreading to the traditional brand planning and promotion business, and more and more brands will adopt an empowered brand promotion business in the future. This paper is based on natural language processing and other AI intelligent technology, which includes image, copy, comment, and audio data processing for advertising promotion intelligent creation systems. Combined with the characteristics of art brand planning and promotion, based on the principle of comprehensiveness and importance, it constructs a system of factors influencing digital media and AI intelligence on brand promotion from the four dimensions of brand product, brand capability, brand market, and brand support. The results show that the average purchase intention index of the brand promotion mode integrating digital media and AI intelligence is 4.9710, which is significantly higher than that of the traditional promotion mode, which is 4.1354. This study can help art enterprises identify the relationship and key elements between the influencing factors of brand promotion and guide brand enterprises to implement more targeted brand planning and promotion strategies.
The Effective Path of High-quality Employment for College Students under the Perspective of “Internet+”
Authors: Liang Qian 
Published: August 2024

Abstract
The rapid development of higher education has made the social supply far greater than the social demand, which has created the problem of difficult employment for college students. The implementation of the national strategy of strengthening human resources and the healthy development of a harmonious society is facilitated by solving the employment problem of college students. In this study, we first constructed a model of college students’ employment through factor analysis and explored the key factors that affect the employment quality of college students. The keywords were used to extract the hotspots of corporate recruitment and to extract measurement variables such as GPA scores. Factor analysis was used to find out the potential variables, extract the effective factors greater than 1, name and number the principal component factors, and identify the items with the highest correlation of each principal component factor, respectively. The model of this paper was validated through exploratory and validation analyses on the obtained data, which were consistent between the validation and exploratory samples. The actual value of X² was 0.7312, which was in line with the evaluation criteria. The evaluation criteria are met by the values of the other five indicators. The model’s high fit and scientific construction are reflected by it. This paper integrates factor analysis with the exploration of college students’ employment pathways, providing a set of application models that can be used as a reference.
A Study of Corporate Litigation Risks and Asset Openness under Green Eco-Development
Authors: Zhu Xiaomiao , Gang Kerou 
Published: August 2024

Abstract
In the context of the era of economic green transformation, enterprises face greater litigation risks, and the opening of the asset market has an important impact on the internal decision-making and control of enterprises under green ecological development. In this paper, the enterprises listed in Shanghai and Shenzhen are selected as research samples, and the explanatory variables, interpretive variables, mediating variables, and control variables are selected for the study. The double difference model is used to construct an empirical model between the variables to explore the relationship between corporate litigation risk and asset opening under green ecological development. The study shows that the correlation coefficients between corporate asset openness (x) and corporate litigation risk dummy variables and numerical variables under green ecological development policy are -0.078 and -0.088, respectively, which are significantly negatively correlated at the 1% level. The robustness test validates this empirical result, indicating a strong correlation between the two. It has also been found that corporate asset openness has a greater negative effect on the litigation risk of heavy-polluting enterprises and state-owned enterprises. The study of enterprise litigation risk and asset opening is rethought in this paper, and it provides a reference basis for the effective management of enterprises under green ecological development.
Analysis of the effect of different mining thicknesses on the mobile deformation of quarry overburden rocks
Authors: Feng Haijun , Wang Tingting , Sun Shuqin , Wei Qiang , Liang Bin 
Published: August 2024

Abstract
The study of the overburden rock transportation law of different mining thicknesses can provide a theoretical basis for the actual site of the mine and ensure the safety of coal mining. On the basis of analyzing the deformation characteristics of the overburden rock, the article studies the relevant factors affecting the mobile deformation of the overburden rock and gives the nonlinear mechanical, mathematical model of the overburden rock movement in the quarry, i.e., the yield failure criterion, the GHB flow law, and plasticity increment theory. Based on the nonlinear mechanics theory, the generalized Kelvin model was established, and its constitutive equations were transformed by the Laplace transformation method, and the viscoelastic finite element numerical simulation model was constructed by combining with MIDAS GTS NX software. When the mining depth is 150 meters, and the thickness of the mining is 9 meters, the maximum tensile stress of the quarry overburden is 274.28MPa, which will damage the movement and deformation of the overburden. When the mining thickness increases from 3 meters to 9 meters, the maximum value of settlement and horizontal displacement of the overburden is 0.038 meters. There is a significant positive correlation between the mining thickness and the movement and deformation of the overburden, i.e., the greater the mining thickness, the more serious the movement and deformation of the overburden. In order to ensure the safety of mining work, it is essential to establish a reasonable mining thickness in the actual operation.
A Study on Graph Theory Application and Efficacy of Cybersecurity Situational Awareness in Industrial IoT System
Authors: Cheng Jie , Fan Xiujuan , Lin Bingjie , Shang Zhijie , Xia Ang 
Published: August 2024

Abstract
This paper proposes a network security situational awareness model based on graph theory, with the primary goal of improving industrial IoT system security. At the beginning of this paper, graph theory is explained in depth, the mutual transformation of directed and undirected graphs is proposed, the empowerment graph abstracted from practical problems is defined, matrix storage is used to realize graph storage, and an isomorphism function is proposed to realize isomorphism judgment of graphs. Based on the principles of graph theory, we develop a network security situational awareness model and suggest a network risk assessment system. This system utilizes risk indices for vulnerability, services, hosts, and networks and assesses the risk, threat, and posture of a specific asset. The efficacy of the cyber security situational awareness model is examined. The average precision rate, recall rate, and F1 value of this paper’s model reach 99.2%, 98.9%, and 97.05%, respectively. The performance of the recognition precision rate of different cyber-attack types is 1%~8% higher than that of the CN model. The leakage rate and false alarm rate of network attacks are 5.41% and 6.16%, respectively, and the overall accuracy rate reaches 95.48%. In terms of the running effect, the average absolute error and mean squared error of this paper’s model are 0.1302 and 0.2709, which are lower than other comparison models.
A Study of the Impact of Digital Technology on the Economics of Agricultural Export Trade
Authors: Jia Saitao 
Published: August 2024

Abstract
An in-depth study of the impact of digital technology on the competitiveness of agricultural export trade can provide data support and direction reference for the development of China’s agricultural digital transformation. Based on the theoretical foundation of the research on the impact path of agricultural exports, this paper integrates the entropy power method to select the agricultural digital technology indicator containing the degree of rural digital infrastructure and digital technology as the explanatory variable and the agricultural export competitiveness as the explanatory variable. Then, the measurement scheme for agricultural digital technology levels and agricultural export competitiveness is designed, and regression analysis is carried out after obtaining and testing the data. It is found that the increase in the level of agricultural digital technology (DIG) has a positive promotion effect on agricultural export competitiveness, and for every 1 unit increase in the level of digital economy development, agricultural export competitiveness increases by 1.596 units. The coefficients of digital financial inclusion level, land size, digital talent ownership, digital logistics level, and digital infrastructure construction are 1.855, 2.835, 0.239, 0.942, and 1.516, respectively, which show a positive promotion effect on agricultural export competitiveness. From the sub-sample point of view, the eastern region is leading China in both the development speed of digital technology and the scale of agricultural exports. The competitiveness of agricultural exports in foreign trade can be significantly enhanced by integrating digital technology and the agricultural export industry chain at an accelerated pace. This paper makes a useful exploration of the direction of agricultural digital transformation and the path to enhance the competitiveness of ag\[*\] agricultural exports in the international market.
Application of Virtual Simulation Technology in Research Experiment Teaching and Management
Authors: Lei Chao , Wu Huizhen , Sun Nabo , Zhao Yonggang , Ye Mingli 
Published: August 2024

Abstract
With the arrival of the digital technology era, virtual reality technology is widely used in the fields of medical care, culture and history, entertainment, and games. In this context, researchers have explored how to organically integrate virtual reality technology into the teaching field, and virtual simulation experiments have been developed with the help of virtual simulation technology. Citespace and meta-analysis are used in the first part of this study to investigate the impact of virtual simulation on the teaching effect of scientific research experiments and to identify the factors that influence the teaching effect of scientific research experiments. On this basis, the control optimization of virtual hands is carried out for the interaction technology of virtual simulation technology, and then DTW is used to optimize the recognition of hand gestures in order to improve the immersion of virtual simulation scientific research experiments. The research experiment teaching model based on virtual simulation technology is constructed jointly with the 5-E teaching model and i-MMLOE teaching design model. The average recognition accuracy of this paper’s gesture optimization recognition method is as high as 99.61%, and the average recognition time is 48.89ms, which can achieve a smooth and comfortable gesture recognition process in the real-time state with good performance. Through the teaching effect test of this paper’s teaching mode, the average score of this paper’s teaching mode compared with the traditional teaching mode is increased by 4.394 points, and the Sig is 0.011 less than 0.05, which is a significant difference, proving that this paper’s virtual simulation scientific research experimental teaching mode has a good teaching effect. It shows that the teaching mode of this paper is helpful for teaching and managing scientific research experiments, and provides certain references and references that are important for scientific research experiment teaching.
Optimized design of robot movement based on fuzzy model minimal repair algorithm
Authors: Liang Ling 
Published: August 2024

Abstract
For complex working environments, traditional path planning algorithms for mobile robots are inefficient and difficult to get the optimal path. To better solve this problem, this paper introduces the fuzzy model for modeling and analysis. On the basis of elaborating the logical relationship between the T-S fuzzy model and the Kripke structure, the basic model of the robot’s moving path is designed and the map representation of the moving path is constructed. Based on the minimal repair algorithm of the fuzzy model, the virtual path fuzzy rule of the robot movement is established, and the hierarchical fuzzy control system is constructed by combining the robot kinematics movement model, and simulation experiments are carried out to verify the effectiveness of the above method. The state response x
1, x
2 of the hierarchical fuzzy control system realizes zero convergence at 5.12s and 3.91s, respectively, and the zero convergence time of the fuzzy control input is 79.23% lower than that of the Takagi-Sugeno fuzzy system. The lateral error of the hierarchical fuzzy control robot movement is approximately 0.05m, and the path length decreases from 1.38% to 4.37% with the map scale increasing. The use of a fuzzy model minimal repair algorithm can improve the efficiency of robot movement and obtain a relatively optimal path in a shorter time.
A study on the quantitative analysis method of cloud ensemble technology on orchestra market development trend during the epidemic period
Authors: Hu Xintian 
Published: August 2024

Abstract
During the pandemic, the online cloud ensemble technology not only maintains the connection between the art organization and the audience but also makes up for the shortage of the orchestra’s live performances, continuously provides cultural and artistic products for the market, and satisfies people’s spiritual and cultural needs and consumption demands. In this paper, cloud ensemble technology is used as an online resource service system for orchestras, relying on the personalized push system of performance resources to connect with the cloud resource library and integrate with the mobile learning portal. Referring to the idea of an extended three-layer structure, the system architecture of an online orchestra performance service is constructed. Drawing on the method of measuring supply and demand in the field of public services, a supply and demand matching model for the online orchestra performance service product consumption market has been constructed. To measure the matching of supply and demand in the consumer market for this product, a two-dimensional vector of matching degree and matching environment is utilized. The study finds that the new crown epidemic has accelerated the development of cloud ensemble technology in the online orchestra market, yet the process of orchestra market development has only reached the middle of the road, and there is still a lot of room for upward mobility and potential for improvement. The results of matching supply and demand show that the supply degree of each service in the online orchestra market has not reached 50%, indicating that the demand of the orchestra market is greater than the supply, and there is a very great potential for development.
Innovation and Development of Pipa Art in Contemporary Plucked Instrument Performance
Authors: Shu Fang 
Published: August 2024

Abstract
This study summarizes the direction of innovation in contemporary pipa performance techniques through theoretical analysis of pipa history, performance techniques, form, and production materials. The independent variable of string vibration during pipa performance is set, and the string vibration equation of pipa performance is deduced based on the actual vibration situation. Afterward, we collected and pre-processed the sound signals of the pipa performance and selected simulation experiments to analyze the string vibration and acoustic signals during the pipa performance. The results show that when the plucking force of 1 string is 0.8N, 1.6N, 2.4N, and 3.2N, the corresponding Y-direction displacements are 2.95mm, 6.37mm, 8.85mm, and 12.48mm, with the ratio of 1:2.16:3:4.23, and the maximum Y-direction displacements are monotonically and linearly positively correlated with the plucking force. In addition, the sound power of the two pipas gradually increased with the increase in frequency, which led to a dynamic range of more than 18.53 Hz when the frequency exceeded 8000 Hz. In this study, through the simulation of string vibration and acoustic signals of the pipa playing innovative techniques, the laws and characteristics of the pipa art can be recognized so as to strengthen the awareness of innovation and development of pipa playing and to make the art of pipa better developed and inherited.