bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Inspiration of Creative Thinking by Somatic Rhythmic Method in Teaching Music and Dance Subjects
Authors: Liu Na
Published: May 2024

The somatic rhythmic teaching method has unique advantages in improving the quality of music and dance teaching. With the purpose of exploring its role in inspiring students’ creative thinking, this paper takes the junior high school students of X Middle School as the research object, firstly, through the questionnaire survey to understand the application of the somatic rhythmic teaching method in music and dance courses, and based on the current situation survey, we designed the somatic rhythmic classroom teaching method in music and dance teaching. Then, the control class and experimental class were selected to conduct the teaching experiment, comparing the students’ creative thinking ability and learning achievement before and after the experiment. After the practice of Somatic Rhythmic Teaching, the performance of students in the experimental class is 36.17% higher than that of the control class, and there is a significant difference between the two classes in the four dimensions of creative thinking (P<0.001), which makes Somatic Rhythmic Teaching enlightening to students’ creative thinking.
The contemporary value and practical strategy of sports education in colleges and universities under the perspective of “five education”
Authors: Ma Chao
Published: May 2024

A physical education and fitness course is a course with physical practice as the main means. Teachers often pay more attention to students’ physical practice in teaching but neglect the development of moral education, aesthetic education, intellectual education, and labor education. Aiming at this kind of teaching problem, this paper combines the concept of “five education” and the characteristics of physical education teaching. It puts forward the physical education teaching mode and practice path that permeates the idea of “five education.” Selection of research subjects, design, and distribution of a humanistic literacy questionnaire to obtain data, reliability test processing to ensure accuracy of research, and analysis of this paper. SPSS software is used to analyze an example of sports education work that integrates the concept of five education. Data presentation: the mean values of the post-test students’ humanistic literacy in the experimental group and the control group are 9.45 and 9.36, respectively, and the P value is 0.009, which indicates that the integration of the concept of five education in college physical education teaching is more advantageous in the cultivation of students’ humanistic literacy in comparison with the traditional physical education teaching mode. This study makes physical education classroom teaching more dynamic and versatile, gives a new meaning to physical education classroom teaching, and improves the effectiveness of physical education teaching.
The Innovative Use of Spatial Syntax in Spatial Design of Tourism Landscape
Authors: Gu Xiaohe
Published: May 2024

In the process of the continuous promotion of regional tourism, how to plan and design the tourism landscape to create a landscape environment with local characteristics and humanization will be the focus of this paper’s research. This paper takes Z tourist-oriented ancient town, as the research sample and centers on its public space characteristics and quality evaluation. The study innovatively applies the spatial syntax method to analyze the public space of the tourism landscape. It quantitatively analyzes the spatial data of the representative villages of the ancient tourist town. Then, the PSPL research method is applied to evaluate the quality of public spaces and living conditions in ancient tourist towns. Among the representative villages, traditional village C5 has the lowest average depth of public space (4.2382) and the highest intelligibility (0.5964), and its public spaces have the best accessibility and permeability. The public space quality of this ancient town was evaluated as excellent, especially in terms of spatial activities and spatial environmental facilities, which tourists rated as greater than 7. The spatial design of the ancient tourist town was divided into a natural ecological recreation area, a tourism distribution and service area, a recreational activities and experience area, and an old street-style commercial area. The study can provide a scientific basis for the protection and renewal of tourist landscapes.
Vocal music curriculum design and teaching quality evaluation in colleges and universities based on interactive structure model
Authors: Li Yanjun
Published: May 2024

Aiming at the current phenomenon of low teacher-student interaction in vocal music teaching, this paper combines the interaction structure model for the innovation and practice of college vocal music courses. Then, this paper uses Euclidean distance to improve the binary tree SVM multi-class classification algorithm, calculates the distance between the teaching samples of each vocal music course, classifies the samples for processing, and obtains the DBT-SVM multi-class classification algorithm. Finally, the DBT-SVM algorithm was used to establish an evaluation model for vocal course teaching quality in colleges and universities to assess the quality of vocal course teaching models. Each three-level index of teaching motivationality has an evaluation score above 80, which is a good level. The evaluation score for the pedagogical index is 89.44, which is almost excellent. The average score of the second-level index of interpersonal interaction is 74.52, which needs to be further improved. The teaching model of the college vocal music course proposed in this paper lays the foundation for the interactive transformation of vocal music teaching and provides a reference model for the improvement of the learning effect of college students’ vocal music courses.
The Coordinated Development of Civic and Political Education in Colleges and Universities in the Internet Era and the Concept of Three-Whole Parenting
Authors: Li Yanping , Huang Rijian
Published: May 2024

“Three-Whole Parenting” is a strategic measure to strengthen and improve the ideological and political work of colleges and universities under the new situation and to comprehensively implement the fundamental task of establishing morality and educating people. In this study, we first utilize the LDA theme model to extract the influencing factors of the coordinated development of ideological education and three-pronged education by theme-mining the relevant comments on ideological and political education in the virtual community. Then, the coordinated development of the two is taken as a latent variable, the PLS-SEM model is constructed, research hypotheses are made, and data collected from the questionnaire survey are combined to explore the paths that influence the coordinated development of the concepts of Civic and Political Education and Three-Whole Parenting in colleges and universities. Four variables, namely the learning atmosphere, the identity of civic and political education, learning investment, and coordinated development effect, are finally extracted. All hypotheses were positively significant at the 5% level, except for the learning environment, which was not substantial for the coordinated development effect. The study proposes that college civic education needs to form an all-member education synergy, construct an all-member education model, and integrate an all-round education model to realize the coordinated development of college civic education and the concept of three-member education.
Exploration of Fine Management Mode of College Logistics Based on Digital Twin Technology
Authors: Yu Xiaodong
Published: May 2024

Colleges and universities are important institutions for talent cultivation, scientific and technological innovation, social service, and cultural inheritance. College logistics management is an indispensable part of the daily operation of colleges and universities, and the high and low level of college and university logistics management directly affects the strength of the overall strength of colleges and universities. This paper puts forward the optimization strategy of college logistics management from three aspects: leadership level, personnel quality, and work system. It adopts digital twin technology to realize the construction of fine management mode and, in order to effectively assess the efficiency of college logistics management, explores the level of college logistics management by constructing the FAHP model. Finally, using M College as the research object, the refined management model of college logistics based on digital twin technology is analyzed. Management system and execution have a weight value of 0.3762 among the first-level indicators, which is higher than the other two factors. The hierarchical total ranking is used to identify the factors that have a greater impact on college and university logistics efficiency in the second-level indicators. The comprehensive score of logistics management efficiency for college M is 92, which belongs to the range of excellent grades. Therefore, for the level of fine management of college logistics, the management system and execution is the key, which can be realized by strictly charging according to the regulations, sound rules and regulations and regular training of relevant managers.
Research on the Cultivation of Interdisciplinary Innovation Ability of Students in Higher Vocational Colleges and Universities
Authors: Wang Mei
Published: May 2024

The rapid development of the new round of science and technology and the industrial revolution has put forward higher requirements on the quality of higher vocational students, especially the cultivation of interdisciplinary innovation ability. The study adopts statistical methods such as hierarchical regression analysis, chi-square test and gray correlation analysis, combined with questionnaire survey and empirical research, to deeply analyze the influencing factors of interdisciplinary innovation ability of higher vocational students. The evaluation system of innovation ability, which contained 4 first-level indicators and 12 second-level indicators, was tested, and SPSS software was utilized to process and analyze the data. The results show that there are significant differences in the critical thinking ability and knowledge integration ability of higher vocational students, with a mean difference value of 0.07191, a t-value of 7.4264, and a significance test of p=0.037<.05. The interdisciplinary task-driven-class has a more than 7 point advantage over the control class in terms of both the mean score and the innovative score. The results of the study provide strategies and methods for the cultivation of interdisciplinary, creative ability in higher vocational colleges and universities, which are of great practical significance for promoting the comprehensive development of higher vocational students and adapting to the industrial demands of the new era.
A Study on Digital Technology Enabling Smart Transformation of Fitness for All
Authors: Wang Qinying
Published: May 2024

With the rapid development of information technology, digital technology provides a new way to realize national fitness activities. This study constructs an evaluation system for national fitness wisdom transformation using hierarchical analysis to explore the effectiveness of the current national fitness wisdom transformation. Secondly, it objectively analyzes the public service transformation of national fitness in the digital era through the rooted theory. It combines it with the evolutionary game method to construct a model of the influencing factors of national fitness wisdom transformation. Finally, taking City Z as an example, we carry out the actual measurement of national fitness wisdom transformation and explore the better path of its transformation through numerical simulation. The results show that the total score of the national fitness wisdom transformation in City Z is 95.96, and the transformation has achieved significant results. Finally, when the transformation and upgrading cost, service mode digitalization ability, data collection and analysis ability, and digital platform construction level are optimal, the effect of national fitness smart transformation tends to be 1. This study provides theoretical foundations and practical guidance for a smart transformation of national fitness.
R&D and Application of Smart Park Energy Control Platform Combined with MLM Technology
Authors: Xu Bin , Zhao Wenguang , Wang Xiaoming , Gao Bo , Ma Wei
Published: May 2024

As the core of park intelligence, the smart park energy control platform realizes the efficient management and optimal use of park energy by integrating and applying IoT technology. This study focuses on the research development and application of a smart park energy management and control platform using IoT technology, firstly constructing the IoT smart park platform, designing the login module, the park information module, and the energy consumption analysis module, and describing the steps of the smart park energy collection algorithm, and then designing the model of the energy prediction and planning algorithms, i.e.In the construction of the LSTM heating temperature prediction model and the GRU network modeling. Testing and research can be done by using a smart park as an example. The empirical study shows that the construction of the IoT smart park platform can improve the accuracy of monitoring, and the difference between the actual collection results and the system monitoring results is no more than 0.03 kW. After optimizing the configuration, the park’s energy supply system can meet the electric heating and cooling loads with optimal efficiency. Through the comprehensive evaluation of the operation of the extensive energy information monitoring platform, the environmental pollutant emissions are reduced by about 20%, and the platform has a remarkable effect on energy saving and emission reduction.
Research on the Development Path of E-commerce for Rural Tourism in the Context of Information Technology
Authors: Xu Rongyan , Yu Haiyan , Li Bin , Miao Dejun
Published: May 2024

In the digital age, e-commerce has emerged as a transformative force in the domain of rural tourism, infusing traditional practices with renewed dynamism. This study employs the spatiotemporal extreme entropy value method to assess the evolution of rural tourism in China. The investigation delves into the influence of e-commerce on the qualitative enhancement of rural tourism, utilizing a dynamic panel data model to analyze its effects and conducting heterogeneity tests based on geographic and economic criteria. According to the weights assigned by the spatiotemporal extreme entropy method, the quality of rural tourism development in China generally increased between 2013 and 2023, with a notable dip to 0.3005 in 2020. The heterogeneity analysis, implemented through a fixed-effects model, reveals significant positive impacts in both the eastern and central regions at the 5% significance level. Moreover, regions with a medium level of economic development exhibit a robust positive effect, with a regression coefficient of 0.429. The developmental impact of e-commerce on high-quality rural tourism is statistically significant at the 1% level, and all control variables demonstrate significant positive correlations. These findings underscore the substantial role that e-commerce development plays in advancing high-quality rural tourism.
Urban community governance and machine learning: practice and prospects for intelligent decision making
Authors: Zhang Yuxin
Published: May 2024

Urban community governance faces unprecedented challenges, but machine learning provides new ideas for it. The objective of this study is to examine the use of machine learning technology in urban community governance to enhance governance efficiency and decision-making quality. The study constructs an artificial neural network intelligent decision support model based on genetic algorithm optimization, which is based on the operational requirements of a smart decision support system. A weighted fuzzy inference network is further developed by the fusion of fuzzy logic and neural networks to enhance the system’s ability to deal with uncertainty and ambiguity. Next, prediction tests were conducted on the development levels of six communities to validate the model’s effectiveness. After 1686 training steps, the error squared SSE drops below 0.2%, according to the results. The composite index’s prediction error was 5.12%, while the minimum error was −1.79%. The predicted rankings of the communities did not change from the actual ones, which was in line with the normal trend, and the algorithmic model achieved better prediction results. This study not only provides a new intelligent decision support tool for community governance but also sets a theoretical and practical foundation for the intelligent development of urban community governance in the future.
Low Carbon Operation Control Technology for Smart Parks Combined with Intelligent Optimization Algorithms
Authors: Zhao Wenguang , Wang Xiaoming , Xu Bin , Gao Bo , Ma Wei
Published: May 2024

This paper first calculates carbon emissions based on the carbon emission factor method and other methods and constructs a linear programming model for low-carbon operation of smart parks with economy, independence, and carbon emissions as objective functions, and constrains them from four aspects: power grid, natural gas pipeline network, equipment output, and energy storage battery limit. The problem can be solved using the sparrow optimization algorithm. Finally, the carbon emissions, power dispatching, and power consumption of the sample parks under the low-carbon operation control mode were analyzed. The results show that the carbon emissions of the park are reduced by 2035.93kg, and the total operating cost is reduced by 1680.11 yuan during the typical daily operation in summer after the intelligent optimization algorithm is used. The park’s carbon emissions decreased by 1686.53kg, and the total operating cost decreased by 1582.42 yuan during the typical daily operation in winter. The importance of this study lies in the low-carbon and modernization of smart parks.
Study on the Driving Factors and Optimization Path of Ice and Snow Athletics Entering the Cultivation of College Reserve Talents under the New Stage
Authors: Shi Ming , Liu Zhirui , Fan Lianjun
Published: May 2024

In order to enhance China’s competitiveness in international ice and snow athletic competitions, this paper proposes a study on the cultivation of ice and snow athletic reserve talents supported by structural equation modeling. The initial selection of the driving factors for the cultivation of ice and snow athletic reserve talents is carried out by means of reviewing the information, and the driving factors for the cultivation model of ice and snow athletic reserve talents in a province are finally determined after expert selection, common factor extraction, and principal component analysis. The fitting index and covariance matrix were solved using the partial least squares method, and then the construction of the structural equation model was completed. Research data were obtained to empirically analyze the cultivation of ice and snow athletic talent reserves using the structural equation model. The results showed that the contribution of the academic training factor to the drivers of ice and snow competitive reserve talent cultivation was 0.891 for the path coefficient of Q6, 0.826 for the path coefficient of Q7, 0.848 for the path coefficient of Q9, and 0.914 for the path coefficient of Q10. This study provides a reference for solving real problems, such as the shortage of competitive ice and snow talents in China, which is of great significance for the strategic development of China’s sports industry.
Musical Melody and Emotional Evocation - An Empirical Study from Statistical Analysis
Authors: Yu Haitao
Published: May 2024

Music is a product of human conscious activity, which, as a special form of artistic expression, can directly hit the psyche and trigger people’s strong emotional experiences. In this study, the continuity of pitch significance is first utilized to represent the musical melody and the feature extraction of polyphonic musical melody is carried out based on harmonic peak and harmonic sum functions. Based on this basis, the features of the extracted musical melody are recognized by combining convolutional neural networks. In addition, the study also constructs an emotion evocation model based on musical melody, and empirically demonstrates the relationship between musical melody and emotion evocation using statistical analysis. The p-values of different music melodies and different music preferences are all less than 0.05. According to the difference analysis, sad emotions have an arousal rate of 90%, which makes them the easiest to induce and arouse. The p-value for the three factors between musical melody, gender, and professional background was less than 0.05, and the interaction was significant. Music melody, gender, and professional background of emotion evocation have a considerable difference. The influence of emotion evocation has a significant effect. While the role of music preferences on emotion evocation is not substantial, the trend and characteristics of different music melody types evoked emotions provide an effective and realistic basis.
Eco-design modeling of home products in smart wellness environments
Authors: Wang Li
Published: May 2024

Intelligent recuperation mode represents a novel approach to elderly care, leveraging the capabilities of the Internet of Things (IoT) and big data. In this paper, based on the SOM-improved K-means algorithm, combined with association rule algorithm mining and analysis with time constraint factor, we establish an analysis model of elderly behavior recognition and make a preliminary judgment on the health status of older people based on the physiological parameters of the model. At the same time, an outlier detection algorithm based on normal distribution is being used to evaluate the abnormal behavior of elderly individuals and an intelligent recreational home ecosystem is being built and tested. In the evaluation of functional modules, except for the nutrition management and lighting control modules, which are rated as “average,” the evaluation values of the remaining eight modules are all in the range of [3,4], and their evaluation ratings are “good” and above. The evaluation values of all dimensions in the comprehensive evaluation of functions are all greater than 3, among which the evaluation values of the dimensions of perceived usefulness and tendency to use are 4.04 and 4.17, respectively, and the evaluation grade reaches the level of “excellent.” The average satisfaction value of the test experience is 3.77, which is 0.98 higher than the satisfaction value of using traditional household products.
Exploration of Visual Communication Design Methods Combining Virtual Reality Technology
Authors: Xu Baojuan
Published: May 2024

As digital media technologies evolve, immersive experiences have increasingly become a focal point in the field of visual communication design. This paper explores the practical implications of integrating visual communication design with cutting-edge virtual reality (VR) technology and proposes a novel method rooted in VR. Our first innovative approach involves a virtual space reconstruction technique that leverages the central eye concept to mitigate discrepancies in user experiences due to varying perceptions of content. Subsequently, we employ the Gabor wavelet transform method to extract key visual features pertinent to human-computer interaction. This allows us to develop a perceptual model of visual targets in human-computer interactions, thereby enhancing the accuracy and efficacy of visual communication by grounding it in sensory cognition and user experience. In practical application, the visual communication design method proposed in this paper has a high signal-to-noise ratio (avg=43.407) and a short computing time (avg=2.24), and its overall recognition rate in multi-sensory virtual experience is as high as 95.6%. The study validates the viability of the virtual reality-based visual communication design method proposed in this paper and encourages the innovative development of visual communication design.
The practice of multi-criteria decision analysis modeling in decision support for landscape planning
Authors: Xu Yiwen , Chang Jiang
Published: May 2024

In this paper, after constructing the index system of garden landscape planning, the entropy weight method and hierarchical analysis method are used to combine and assign weights to each index. Using a multi-criterion decision analysis model to establish the decision matrix of landscape planning alternatives, the weighted normative value of each indicator is obtained to obtain the weighted normalization matrix for landscape planning. According to the matrix analysis to get the positive and negative ideal solution of each index, calculate the utility function value between each alternative and the perfect solution, and get the optimal decision-making scheme of landscape planning. The analysis of the three options for landscape planning found that Scheme S2 has the largest utility function value of 0.642, which is considered the optimal scheme. The analysis of the application effect of this scheme found that the proportion of garden green space in the Xinghua garden landscape area increased by 16.23 % compared with 2010, and the proportion of enterprise and institutional land decreased by 5.04 %. The analysis results of this paper show that the multi-criteria decision analysis model plays a highly supportive role in the decision-making of landscape planning, and lays a foundation for the decision-making of the optimal scheme in future landscape planning.
Effectiveness Analysis and Optimization Path of AI Tutoring Models in Foreign Language Learning Applications
Authors: Yan Jing
Published: May 2024

The advent of informatization and intelligent systems in education holds substantial practical importance. This study focuses on evaluating the application effects of an AI tutoring model in extralinguistic learning, using a middle school as a case study. Two parallel classes were selected to design teaching experiments aimed at assessing the AI tutoring model’s efficacy by comparing students’ language performance before and after its implementation. Furthermore, factors influencing the willingness to use the AI tutoring model were identified, leading to the construction of a structural equation model and the formulation and testing of related hypotheses. Results indicate that the AI tutoring model significantly enhances students’ language learning outcomes, with a performance increase of 12.02 points post-instruction, which is 10.19 points higher than that observed in the control group. Variables such as performance expectation, hedonic motivation, willingness to communicate, and interaction with AI demonstrated a positive and significant impact on attitudes (p < 0.05). They indirectly fostered a sustained desire to engage with the AI tutoring model. This research offers valuable insights for the future effective integration of AI into extralinguistic educational contexts.
An Economic Analysis of the Impact of Digital Currencies on Land Asset Securities Transactions
Authors: Gao Fan
Published: May 2024

Dilemmas in financing, risk control, and liquidity have arisen in the face of the current land system, and land securitization can provide a way of thinking to solve these problems. This paper proposes four financial instruments for land asset securitization. It calculates the transaction pricing of that land asset security by splitting it into a composite of independent financial derivative values based on the risk-free arbitrage theory in financial engineering. Finally, based on the multiple fractals and volatility spillover index method, the impact of digital currency on the trading dependence and risk spillover of land asset securities when land is securitized as an asset is studied in depth. The results show that the fractal characteristics of land stocks are 0.756, and land bonds are 0.737. The multiple fractal characteristics of the cross-correlation of different land security assets are differentiated, which indicates that the impact of digital currency on the land security assets among them is stronger in the long memory of small fluctuations. The inverse persistence of large fluctuations is stronger. The risk spillover results show that there is a small risk correlation between digital currencies and land securities transactions.
A study on the application of quantum computing in improving the efficiency of English language learning
Authors: Lei Fei
Published: May 2024

The rapid development of information technology has brought new opportunities to the field of language learning and formed new learning methods. In this paper, a content-based quantum recommendation algorithm is first proposed to calculate the preference attributes of English learners using the Hamming distance and then combined with the constructed dynamic interest model of learners to complete the personalized recommendation of English language learning resources. The algorithm is employed to build an English-language customized learning system that incorporates learning, resource management, and proficiency assessment functions, and performance testing is carried out simultaneously. Furthermore, the study utilizes the system to conduct application experiments to evaluate its improvement in English language learning efficiency. The results showed that the mean value of perceived satisfaction with the improvement of English language efficiency in classes using the system was 7.48, and the ANOVA results (F=3.88, p<0.5) indicated a significant difference from the traditional method. Among them, the performance enhancement rates of superior and intermediate students were more than 45% and 62%, respectively, which effectively enhanced the efficiency of English language learning. After this study, it can provide a high reference value for the application of quantum machine algorithms in the field of education.
Accurate Building Energy Management Based on Artificial Intelligence
Authors: Li Qiang , Zhu Jingjing , Xiao Qiyan
Published: May 2024

Artificial intelligence (AI) plays a pivotal role as a technical facilitator in the domain of building energy management. This paper presents the construction of a sophisticated model for building energy management, leveraging data-driven techniques and machine learning methodologies inherent to AI. The model encompasses three integral modules: characterization of building energy consumption, screening for anomalies in energy consumption, and forecasting of energy usage. Characterization is performed through a data analysis approach. At the same time, anomaly detection utilizes a Gaussian mixture model for data mining and modeling, enabling dynamic and precise identification of states of high energy consumption following clustering analysis. Additionally, the model employs cyclic features and DEEM to accurately predict future energy consumption patterns. The efficacy of this robust energy management model was validated through a case study at Hospital A, located in Changsha, Hunan Province, China. Notably, the total energy consumption at this facility witnessed a modest increase of 1.65% in 2023 compared to the previous year, with a projection of a substantial 24.62% rise in 2024. The surgery building, among various functional units of the hospital, was identified as the most energy-intensive, anticipated to utilize 4.03 million kgce in 2024. Furthermore, the disparity between actual electrical energy and oil consumption in 2023 and those forecasted was contained within 8% and 10%, respectively, underscoring the model’s high predictive accuracy.
The use and effective analysis of vocal spectrum analysis method in vocal music teaching
Authors: Zhang Bo
Published: May 2024

As computer science and technology continue to evolve and become more pervasive, their application in analyzing the audio spectrum of vocalizations offers valuable insights for vocal music education. This study introduces a method utilizing Fourier transform analysis to examine time-frequency domain signals in vocal teaching. Initially, voice frequencies are collected during vocal music instruction. Subsequently, these frequencies are processed to extract characteristic sequences, which are then reduced in scale to develop a model for voice spectrum recognition tailored to vocal music education. This model facilitates detailed spectral analysis, enabling the investigation of its auxiliary benefits in vocal music teaching, particularly in identifying prevalent instructional challenges. Our findings indicate that during training on vowels “a” and “i,” professional singers’ pitch at 4kHz declined to between −15 and −18 dB, whereas students’ pitch varied around ±6dB, trending upwards. In cases of air leakage, significant gaps were observed at frequencies of 5500Hz, 10500Hz, and 14500Hz. At the same time, students exhibited missing frequencies at 7kHz, 12kHz, and 14kHz during glottal tone production, with pronounced, abrupt peaks occurring when vocal folds were tightly constricted and devoid of excessive links. This research substantiates the theoretical and practical benefits of digital spectrum technology in enhancing vocal music education, thereby providing a scientific and supportive role.
Research on Information Technology Innovation and Rural Revitalization Strategies of Agricultural Complex Teaching and Research Bases in Colleges and Universities
Authors: Liu Xiqian
Published: May 2024

The construction of agricultural composite teaching and research bases plays an important role in promoting rural revitalization and strengthening agricultural education. This paper emphasizes the role of agricultural information technology innovation in rural revitalization and proposes the impact of agricultural technology innovation on the development of rural revitalization. The variables of agricultural technology innovation as well as rural revitalization are selected, the benchmark regression model is set, the local impact model is set for the seven secondary indicators under agricultural technology innovation, and the evaluation index model is constructed. Through the empirical analysis method, the model is sequentially subjected to preliminary analysis and nonlinear characterization. Benchmark regression test using the fixed-effects model, model (7) shows that agricultural technological innovation at the 1% significant level of β =2.6548, P < 0.01, indicating that agricultural technological innovation has a positive and positive impact on rural revitalization. The threshold test shows that when the level of financial activity is lower than the threshold effect of 0.0965, the coefficient of the impact of agricultural technological innovation on rural revitalization is 0.0458. The effect of agricultural technological innovation on rural revitalization is affected by the intensity of financial activity, and there is a moderating effect of economic activity on both.
The Legal Effect and Application of Smart Contracts under the Administrative Law System
Authors: Ma Wenzhe
Published: May 2024

As an important cornerstone of future digital civilization, smart contracts are being increasingly used in blockchain finance in innovative practice, and whether smart contracts have legal effect has become a question that academia must answer. This paper discusses the legal impact and application of smart contracts under the contract layer in the blockchain architecture, with a vision of an administrative legal system. Based on the operation principle of smart contracts, a method for detecting smart contract vulnerabilities that combines Glove word embedding and the Shapelet-Transform algorithm is proposed to improve data security during the fulfillment process. Finally, the smart contract model constructed in this paper is applied to the supply chain of agricultural products, and the legal effects of the smart contract are analyzed using practical examples. The transaction volume of unqualified agricultural products decreased from 19.4545 to 13.4655, which is lower than the production volume. The credit index of the smart contract model has increased, resulting in a shortened node performance time from 0.25s to 0.2s.
The Intersection of Art and Technology: Innovative Thinking and Practice in the Perspective of New Media
Authors: Mao Xiangyi
Published: May 2024

The swift advancement of science and technology has emerged as a pivotal catalyst for artistic innovation, with immersive art displays becoming increasingly prevalent as a favored mode of creative expression. This paper conducts a thorough analysis of the flow dynamics within immersive art display spaces, utilizing the eight-channel cardio fluid flow model as a foundation. By integrating the immersive communication effect model, this study further investigates the communicative aspects of these spaces. The implementation of human-computer interaction technologies not only enhances visual presentation but also facilitates the design of immersive art spaces through advanced scene modeling techniques. This design process includes optimizing the viewer’s perspective by incorporating visual perception parameters and the grid saliency MS algorithm. Additionally, this research undertakes a quantitative evaluation of interactive applications at the nexus of art, science, and technology, focusing on audience demand, interactive experiences, and recognition. The findings reveal a significant increase in audience demand for digital media interaction, from 12.64% to 31.29%, and an impressive average tolerance score of 84.32 for immersive art spaces. Comments related to these spaces uniformly express positive recognition, underscoring the successful integration of science and technology in art displays. This integration, as demonstrated, fosters a diverse evolution of artistic expression forms.
Construction of evaluation system for students’ practical ability in sports training in colleges and universities
Authors: Guan Huiyin
Published: May 2024

Sports training is the principal pedagogical approach to achieving educational objectives in college-level sports courses, where the demands on students’ practical sports skills are increasingly stringent. This study formulates an evaluation index system for the sports practice abilities of college students tailored to the contemporary requirements of sports training in higher education institutions. The entropy value method was employed to determine the weights of the indices in this system. Using colleges as a case study, the gray correlation model was applied to assess the comprehensive practical abilities of students, leading to the development of targeted sports training optimization strategies. Additionally, the effectiveness of these strategies was evaluated. The findings indicate that the weight coefficient for sports character is the most significant at 0.41659, highlighting its substantial role in overall practical ability. Beyond basic physical skills, significant improvements were observed in the experimental class’s sports cognition, health behavior, and sports character scores (P<0.05). The practical ability system proposed in this paper serves as a valuable guide for instruction and has proven effective in enhancing students’ practical sports skills.
The Application of SPSS Correlation Analysis in the Study of Precision Teaching of English in Universities
Authors: He Lirong
Published: May 2024

Amidst the swift advancements in information technology, university-level English education encounters both challenges and opportunities for innovation. This study is dedicated to the development of a system tailored for precise teaching strategies in college English, employing students from M-school as the primary research subjects. Subsequently, the relationship between various teaching strategies and the outcomes of precision teaching was investigated through correlation analysis using SPSS. Furthermore, the factors influencing English performance were analyzed using Pearson’s correlation coefficient and grey correlation analysis within multiple regression analyses. The results show that the overall mean score for English precision teaching is 3.5162, which is in the middle of the teaching level. Furthermore, the significant (two-sided) p-values of the factors affecting the level of English precision teaching and English achievement are less than 0.05, which is significantly correlated with English achievement. College students’ English achievement = 0.534+0.142*Teaching objectives+0.195*Learning situation analysis+0.238*Teaching content+0.271* Teaching methods+0.187*Teaching organization+0.185*Teaching evaluation. The study shows that the precise teaching of English in colleges and universities can be optimized in terms of teaching objectives, learning situation analysis, teaching content, teaching methods, teaching organization form, and teaching evaluation.
Study on the development status of the coupling of the digital innovation ecosystem and the digital economy
Authors: Huang Shan , Zhang Jingwen
Published: May 2024

In recent years, the level of China’s digital economy development has been increasing, but the problem of low coordination between the digital innovation ecosystem and digital economy development still exists. This paper constructs the evaluation index system of the digital innovation ecosystem and digital economy development, respectively, and analyzes the development level of the digital innovation ecosystem and digital economy according to the entropy value method evaluation model. To explore the coupling development status of the digital innovation ecosystem and digital economy, the coupling development of the two is analyzed through the coupling degree model and the coupling coordination degree model. According to relevant calculations, from 2017 to 2023, the average development composite index of China’s digital innovation ecosystem 0.3189 increased by 0.4920, and the average development composite index of the digital economy rose from 0.1622 to 0.3524. The coupling degree between the national digital innovation ecosystem and the digital economy increased from 0.2125 to 0.64319, with an obvious increase in the coupling degree. The degree of coupling coordination between the two regions is specifically characterized by a gradual decrease from the eastern areas to the western regions, with certain regional differences.
Using Data Analysis to Improve the Teaching Quality of Civics in College English Courses
Authors: Qi Shulan , Huang Tiebing
Published: May 2024

College English courses, serving both instrumental and humanistic purposes, are a crucial component of general education at colleges and universities. This underscores the pressing need to advance the integration of civics and politics within these courses. This study develops a blended teaching model for incorporating civics and politics into college English courses, employing a structured pedagogical framework of teaching objectives, implementation, and evaluation. It proposes several hypotheses concerning factors that influence the quality of civics and politics instruction within English courses. Using School Y as a case study, a comparative experiment was conducted, and various data analysis techniques— including one-way ANOVA, multiple linear regression, and stepwise regression—were applied to substantiate the hypotheses. The experimental results revealed that students in class A showed an improvement ranging from 5.59 to 9.5683 points over class B. Correlation and regression analyses demonstrated that the selected predictor variables accounted for 88.3% of the variance in teaching quality, with an F-value of 231.158 and a p-value of 0.000, indicating a robust fit and statistical significance of the regression model. All hypotheses were confirmed except for H2, H6, and H7. This research delineates the varying impacts of each factor on teaching quality. It offers concrete recommendations for enhancing civics and politics education in university English courses through a blended learning approach.
Improvement Path of Legal System Related to ChatGPT Application Combined with Decision Tree Algorithm
Authors: Guo Yan , Wang Chengzhen
Published: May 2024

Artificial Intelligence (AI) has been widely used in the social and legal fields, and ChatGPT, after AI painting, has once again set off a wave of discussion on whether AI and its generated works can obtain legal protection. Starting from the theoretical orientation of the origin of ChatGPT legal governance, this paper proposes the legal positioning and layered governance framework of ChatGPT application. It explores the role mechanism of ChatGPT empowering legal modernization and combs through the realistic dilemmas of ChatGPT-generated content data compliance legalization. To effectively analyze legal risks in the process of the ChatGPT application, data crawling technology and SMOTE oversampling technology are utilized to obtain ChatGPT application data and produce datasets. The Stacking integration strategy is introduced to combine the Random Forest in the Decision Tree Algorithm, GBDT algorithm, and Support Vector Machine to construct the legal risk prediction model of the ChatGPT application. For the effectiveness of the model, the ChatGPT application dataset is used to analyze the accuracy, ROC curve, and AUC value, which provides a reference for improving the legal system related to the ChatGPT application. The results show that the accuracy of the SVM classifier reaches 0.839, the correctness of the GBDT model is 0.947, and the AUC value of ChatGPT legal risk prediction based on the Stacking integration strategy is 0.947. Based on the inspiration of the decision tree algorithm, the improvement of the legal system related to the ChatGPT application should be improved in terms of generating content and allocating risk. Based on the insights of the decision tree algorithm, the improvement of the legal system related to the ChatGPT application should be made based on the dimensions of generation content and risk allocation.
Analysis of health state before and after fault self-healing based on a high percentage of distributed distribution grid systems
Authors: Zhou Zhongqiang , Zhang Yun , Ma Jianwei , Jiang Dan , Deng Ruifeng
Published: May 2024

In this paper, we preprocess the equipment data using by exponential smoothing method, fit the fault information by using the distribution model, and evaluate the fitting degree of the function with the help of the K-S test to derive the equipment fault information function. In accordance with the correlation mapping between the distribution network health index and the existence of faults, the health index of the distribution network equipment in the region before and after the self-healing of faults is comprehensively calculated, and the state assessment of the equipment is carried out. Before and after the fault self-healing of the IEEE33 node system, the system loss is reduced by 58.89%, as evidenced by the results. Before and after the fault self-healing, Condition 1: the line health index ranges from 1.317 to 3.777, and the transformer health index ranges from 2.011 to 4.646. Condition 2: the line health index ranges from 2.284 to 4.059, and the transformer health index ranges from 1.653 to 4.047, respectively. And Condition 3: the health indices all increase by varying from 0.711 to 2.067. Localized equipment degradation has a significant impact on the overall health of the network, with lines affecting the system to a greater extent than transformers. To summarize, the proposed health index state assessment method can effectively determine the health state of distribution networks before and after fault self-healing.