bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
“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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.