bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Chinese and Foreign Communication of “Community of Human Destiny” Identity: A Corpus-Based Analysis
Authors: Zu Yanfeng , Chen Xiuchun , Liu Yi 
Published: July 2024

Abstract
Since the concept of “Community of Human Destiny” was proposed in 2012, it has garnered extensive attention from British, American, and other Western media. In this paper, a comparable corpus is constructed with the reports on “Community of Human Destiny” and related news articles in Chinese and Western mainstream media. Using the AntConc search tool, the CRF-NLG model embedded in natural language grammar is established by using corpus-based discourse analysis combined with Lafferty’s Conditional Random Field Model to realize the identification of terminology and the extraction of the corpus. The Chinese and Western media coverage corpora CSFCNC and CSFWNC are constructed to explore the differences in Chinese and Western mainstream media’s image construction of China. The results show that “Benefit” appears most frequently in overseas media’s publicity of the “Community of Human Destiny” (Frequency=521, LLR=6.37), indicating that the overseas media’s publicity of the “Community of Human Destiny” has a strong influence on China’s image. This shows that the determining factor of the judgment standard and attitude of overseas media towards the “Community of Human Destiny” is “self-interest”. The Chinese media’s coverage of the “community of human destiny” has constructed the image of China as a responsible socialist power that promotes common development and seeks the well-being of all peoples. This kind of research has important reference value for how to further develop multilevel and multi-disciplinary public diplomacy and international political communication, better shape China’s national image, and enhance national soft power and global discourse.
Research and Innovation of Physical Education Teaching in Colleges and Universities in the Context of Big Data
Authors: Sun Yuhang 
Published: July 2024

Abstract
Physical education teaching in colleges and universities faces the problems of lack of attraction, no daily exercise supervision, and teachers cannot accurately grasp the exercise intensity of each student. In this paper, in order to innovate the sports teaching mode in colleges and universities, a sports monitoring system in colleges and universities is designed, which firstly expresses and calculates the motion features in space, updates the normalized quaternion, and obtains the real-time posture angle of the human body. The motion feature extraction is carried out to accurately fit the trend of motion state change after Kalman filtering of the state quantity to monitor stationary, running, fast walking, and warm-up motion recognition. The monitoring system that was constructed is utilized in a college sports classroom, and the waveforms of every motion signal measured by the system are examined. The innovative model of college sports was tested in a one-semester teaching experiment. It is found that the system determines that the combined acceleration of a student at rest is 1.005g to 1.03g, the number of times that the combined acceleration peak is greater than 2g and less than 6g when running 28 steps is 28 times, and the combined acceleration of fast walking 12 steps meets the judgment criteria for a total of 12 times, which is in line with the actual state of the system. After one semester of an innovative mode teaching control experiment, the average physical education score of the experimental class increased dramatically from 60.8 points to 78.6 points, an increase of 29.3%. This study provides a useful exploration of the innovation of physical education teaching methods in colleges and universities, taking into account the integration of big data and information technology in physical education.
Deep Learning-based Basketball Free Throw Attitude Analysis and Hit Probability Prediction System Research
Authors: Zhao Bo 
Published: July 2024

Abstract
Traditional basketball free-throw hitting probability prediction mainly relies on naked eye vision to analyze basketball players, which makes it difficult to achieve stable and accurate free-throw hitting probability prediction. In this study, we propose a deep learning-based algorithm for recognizing basketball free throw poses and predicting the probability of hitting free throws, and we build a corresponding system framework. DetectNet is used to screen free throw motion detectors, real-time estimate and recognition of free throw poses, and code rewriting. At the same time, Open Pose is used as a human skeletal joint point detector to extract the joint point information of the free throw shooter. The joint points with wrong information are repaired, and the classification prediction of the free throw hitting result is realized based on the support vector machine. In the performance simulation experiments, the average accuracy of the free throw pose recognition method proposed in this paper is as high as 98.55% on the MSR Action 3D dataset, and the recognition rate of the elbow lift pose, which is the most difficult to recognize, is also higher than that of other comparative algorithms. The hit probability prediction method is also 12.64% and 6.25% more accurate than the OpenPose algorithm in hit-and-miss prediction, and the accuracy has also improved by 4.47% and 5.41%, respectively. The free throw pose recognition and hit probability prediction method in this paper has excellent performance.
Optimization of antique assembly building frame construction based on BIM technology and Matlab genetic algorithm
Authors: Zhang Han , Ping Hongming 
Published: July 2024

Abstract
With the rapid development of science and technology, the traditional construction industry is facing the urgent need for transformation and upgrading, and how to achieve the performance optimization of the assembly building frame has become an urgent problem to be solved. The research constructs the antique assembly building frame using BIM technology and uses a Matlab genetic algorithm to optimize the model of the building frame. The efficacy of the optimized assembly building is analyzed, and the safety performance of the BIM-Matlab frame building proposed in this paper is compared with that of the traditional frame building and the anti-buckling frame building to explore the effectiveness of the performance optimization of the BIM-Matlab frame building. The values of the structural non-lateral stiffness ratio of the BIM-Matlab assembly building are all greater than or equal to 1, and the seismic shear weight ratio meets the requirements. The displacement ratio and inter-story displacement ratio meet the code requirements under all working conditions. The building foundation’s zero stress zone is 0.00%, and the minimum stiffness-to-weight ratio value of 38.69 is enough to pass the overturning resistance and stability test. The BIM-Matlab framed building can endure earthquakes with greater intensity and safety reserves than conventional framed buildings and anti-flexural framed buildings, which are more secure in earthquakes.
Research on the Construction of Medical Archives Information Resource Sharing Platform under the Background of Digitization
Authors: Yin Yimin 
Published: July 2024

Abstract
Establishing a medical archive information resource-sharing platform can effectively address issues of resource waste, unavailability, and retrieval. The article develops a medical archive information resource-sharing platform using virtualization and cloud computing technology and proposes a virtualization-based RA_WLC resource scheduling strategy to achieve real-time allocation and scheduling of system resources. Through experimental testing of the medical archive information resource-sharing platform proposed in this paper, the article concludes that two critical paths to promote the construction of the resource pool are derived from the grouping analysis of conditional variables, i.e., Combined Path I (A1): P1*P2*P3*P4*P5*~P7 (Subject*System Standard*Technology Platform* Resource*User*Non-Feedback), Combined Path II (A2): P1*P2* P3*P4*P5*P6 (subject*system standard*technology platform*resource* user*environment). The performance test of the system yields a fault tolerance rate of 0~0.01 for 2000~4000.
Human Dance Posture Detection Based on Improved Mayfly Algorithm
Authors: Ding Jieqin , Hu Dong , Ding Jieqi 
Published: July 2024

Abstract
Conventional human dance posture detection methods have problems such as low motion detection accuracy and recognition rate, so a simplified and improved mayfly algorithm is proposed to optimize the human dance posture detection methods. To begin with, a high-precision Kinect sensor is employed to gather 3D data on human dance posture movements. Then, the movement categories are recognized based on the indirect segmentation principle of the sliding window design. Then, the improved mayfly algorithm optimizes the multi-threshold combination of image segmentation to determine the optimal segmentation threshold. It is proposed to use gesture-based feature description to fully represent the human action information, use human gesture to obtain the human body regions in the frame, extract 3D-SIFT and optical flow features for each region, respectively, and then compare with other intelligent algorithms, and the experimental analysis shows that the proposed method is better than the DSI method in terms of Average accuracy and Accuracy at the worst performance. Performance is higher than the DTW method, with a difference of 29.91% and 28.65%, respectively. The improved mayfly algorithm’s simulation results are more accurate and stable than other methods, which improves the recognition rate and allows for more precise detection of human dance postures.
Focusing on “Online + Offline” Interaction, Exploring the Civic and Political Construction of Public English Courses in Higher Vocational Colleges and Universities
Authors: He Tingting , Lai Yonghui , Yao Jiguo 
Published: July 2024

Abstract
The significance of interactive pedagogy in English education cannot be overstated, as it fosters student engagement, collaboration, and active learning, thereby enhancing both academic performance and comprehensive capabilities. This article presents a structured three-step strategy designed to integrate curriculum thinking into the teaching of English at higher vocational levels through a blended online and offline approach. Central to this methodology is the development of a robust “online + offline” teaching quality evaluation index system, innovatively constructed using a combination of rough set theory and a backpropagation (BP) neural network algorithm. Furthermore, the effectiveness of this pedagogical approach is quantitatively analyzed using a Markov chain model, which evaluates the progression of students’ English proficiency. The analysis reveals that sustained application of the proposed teaching methodology is likely to elevate students’ English performance to an estimated score of 84.273, marking a substantial improvement of 5.443 points over traditional methods. Empirical validation of the model’s effectiveness was achieved through student evaluations across three critical areas: Civic Integration Effectiveness, Pre-Class Preview, and Follow-Up Testing. The results of the post-test assessments yielded mean scores of 3.565, 3.564, and 3.695, respectively, indicating a significant enhancement in learning outcomes, as evidenced by p-values of less than 0.05. This statistical analysis confirms the significant impact of the innovative pedagogical strategy on student learning outcomes.
Exploring the Path of Practical Reform of Art Design Teaching in Higher Vocational Colleges and Universities from the Perspective of Non-Heritage Culture
Authors: Huang Xin 
Published: July 2024

Abstract
This paper uses Python technology and Slope One algorithm to realize a personalized teaching resource-sharing platform for non-heritage cultural learning resources. Intangible cultural heritage is introduced into the art design specialty and then incorporated with digital teaching techniques to propose an innovative approach to the construction of the art design specialty. By collecting relevant information to understand and analyze the current situation of non-heritage and art design professional construction, its characteristics and development trends are summarized. The results show that “non-heritage culture” + “art design” retrieved 184 articles, accounting for 0.25%. The average teaching evaluation is 4.48, which is a high level. Digitalized non-fiction culture is becoming more and more common. The number of teachers in higher vocational colleges who are over 40 years old and have lower education is only 8. In the analysis of the satisfaction survey of the personalized teaching resource-sharing platform, most of the students were satisfied with the updating and pushing of teaching resources, the diversification of the classroom form, and so on, and the interactivity was still lacking. Therefore, in the context of the digitization of non-heritage culture, the method of this paper provides a new path for the construction of the art design profession.
International law framework for the taxation of cross-border transactions in cloud computing services
Authors: Huang Yuxiang 
Published: July 2024

Abstract
Cross-border cloud services are transforming our lifestyles and accelerating the computerization of everyday life. Every day, cross-border cloud services are having an increasing impact on income tax jurisdiction due to their rapid development. The concept of cross-border cloud services is introduced in this paper, and the impact of cloud computing on tax jurisdiction is discussed. In order to measure the scale of corporate income tax loss during cross-border cloud service transactions, this paper constructs a tax revenue capacity measurement integral model and designs a measurement process based on Bayes’ theorem for the measurement of tax loss across time. Finally, combined with the tax revenue capacity measurement integral model, it empirically demonstrates the scale of corporate income tax loss in cross-border cloud service transactions in 20 provinces and municipalities in China from 2021 to 2023. The regions with more tax loss are Beijing (18.74), Guangdong (4.79), Zhejiang (0.82), and Shanghai (0.73), with a total loss of 597 million yuan, 831 million yuan, and 1.061 billion yuan of cross-border cloud service transaction enterprise income tax in the past three years. Based on the statistics on Amazon’s payment of income tax on cross-border cloud service transactions in 2021-2023, it appears that Amazon’s actual tax payment does not correspond with the income tax payable. It shows that the legal lack of income tax jurisdiction during cross-border cloud service transactions exacerbates the amount of tax losses in China. For this reason, this paper constructs an international law framework from two aspects: the type of income from cross-border cloud services and the determination of permanent establishment.
Exploration and Practice of High-Quality Talent Cultivation Path in the Context of Industry-Education Integration Drive
Authors: Liu Qiaobin , Li Dongzhi , Sun Jinpeng 
Published: July 2024

Abstract
High-quality talent cultivation is an inevitable trend driven by the development of industry-education integration. This paper analyzes the differences in project goals between enterprises and universities, selects a content-based recommendation method, establishes an interest theme model for both entities and generates cooperative recommendation partners. A new type of partner recommendation scheme for industry-education integration projects is established based on geographic proximity by introducing the factor of geographic distance. Interpret the meaning of high-quality talent cultivation, establish a joint talent cultivation mechanism among enterprises, colleges, universities, and industrial organizations, and develop a three-stage segmented cultivation model. Finally, analyze the degree of participation and influence of each subject and variable on the practice of industry-industry fusion, respectively, and explore the effectiveness of industry-industry fusion collaborative cultivation by combining the teaching characteristics of teachers from schools and enterprises with the development of industry-industry fusion activities in the college. During the three years of junior, senior, and graduates, College D’s industry-education integration activities are mainly organized by lectures, visits, seminars, and enterprise recruitment meetings, of which the proportion of inviting relevant enterprises to give lectures can reach more than 80%. The activities of the college’s industry-education integration organization are one of the effective paths to building development space for the cultivation of high-quality talents.
Exploring the Path of Integrating Traditional Music into Music Teaching in Colleges and Universities
Authors: imiti Mubalak , Liu Jie 
Published: July 2024

Abstract
Traditional music encapsulates the profound historical wisdom and cultural imprints of a nation, representing an invaluable asset within the enduring heritage of its people. It also serves as an essential resource for music education in higher education institutions. This study aims to delineate the methodologies for the productive incorporation of traditional music into the music curricula of colleges and universities. Utilizing a questionnaire survey, this research examines the current practices of integrating traditional music into academic settings while concurrently identifying and analyzing prevalent challenges encountered in this endeavor. A factor analysis was conducted to extract the principal components from the identified challenges, providing a structured understanding of the influencing factors. The findings from this study suggest that the primary determinants impacting the integration of traditional music into university music programs include the pedagogical approaches of educators, the educational environment, and the prevailing campus culture. Furthermore, the study proposes several effective strategies for the integration of traditional music into music education, which include fostering emotional connections with the music, emphasizing scientifically backed vocal techniques, and incorporating exemplary cases into the curriculum. These strategies aim to enhance the educational experience and cultural appreciation among students, thereby enriching the music education landscape in higher educational settings.
Research on the Interaction Mode of English Classroom in Colleges and Universities under Artificial Intelligence Environment
Authors: Qiao Shiyan 
Published: July 2024

Abstract
This study integrates foundational theories of artificial intelligence to develop a classroom interaction feedback model tailored for environments leveraging artificial intelligence technologies. The model is structured into three primary phases: initiation, reaction, and feedback. To enhance the detection and analysis of interactive behaviors within English classrooms, this research introduces an advanced face detection algorithm derived from YOLOv5s, coupled with the GVT expression recognition model. These tools aim to assist educators in refining both the curriculum and pedagogical approaches based on dynamic classroom interactions. The practical applicability of this interaction model was evaluated through an empirical analysis involving English majors from College Q. The study revealed significant enhancements post-implementation of the intelligent English classroom interaction feedback model. Specifically, there was an increase in the average individual head-up rate by 0.2 and the overall head-up rate in the classroom by 0.178. Additionally, mood scores rose by 0.1 to 0.3, indicating a state of heightened engagement and active participation in classroom activities. Furthermore, the average academic performance of students exhibited a notable improvement of 13.47 points, with a standard deviation of approximately 5.86, suggesting a modest dispersion in achievement levels. The findings demonstrate that the intelligent English classroom interaction feedback model significantly boosts student engagement and concentration, thereby enhancing academic performance and supporting the development of core English literacy skills. This model provides a valuable framework for leveraging artificial intelligence to optimize educational outcomes in higher education settings.
The Application of Multiple Music Cultures in College Music Teaching in the Background of Internet
Authors: Ren Hongsheng , Xie Fei 
Published: July 2024

Abstract
In advancing quality education, there is a pressing necessity to equip students in higher education with global perspectives and skills in intercultural communication. This study leverages the TSPCK knowledge transformation model to deliver an extensive exploration and application in the realms of goal orientation, content structuring, foundational learning, strategy deployment, and the execution of assessments within the framework of multicultural music education. The adaptive learning system’s learner model is meticulously crafted by assessing learners’ preliminary knowledge, evaluating their challenges with music knowledge, and estimating their overall knowledge proficiency, with validation conducted across six distinct datasets. Multicultural elements in college music education are strategically utilized to investigate their influence on students’ aesthetic interests and musical literacy. Empirical results indicate a residual mean score of 2.0501 for music aesthetic literacy within a multicultural context, suggesting that exposure to multicultural music education broadens students’ perspectives significantly. Furthermore, this educational approach encourages students to cultivate a deeper appreciation and respect for the nuances and commonalities across various cultures. Enhancing the quality of music education in tertiary institutions and promoting a profound understanding and proficiency in diverse music cultures are identified as pivotal elements in achieving these educational outcomes.
Morphological and genetic identification of the gill monogenean parasite (Diclidophora merlangi) that infects Twobar Seabream Fish (Acanthopagrus bifasciatus) in the Arabian Gulf, Saudi Arabia
Authors: Alojayri G. , Al-Quraishy S. , Al-Shaebi E. , Mohammed O. B. , Abdel-Gaber R. 
Published: July 2024

Summary
Ectoparasites, particularly monogeneans, negatively affect fish health and growth. This study identified monogenean parasites in the twobar seabream, Acanthopagrus bifasciatus (Sparidae), inhabited the Arabian Gulf (Saudi Arabia). Following that, forty A. bifasciatus fish samples were visually examined for monogeneans. Parasite species were collected from the gills and then analyzed morphometrically, morphologically, and molecularly using the partial regions of the large subunit of ribosomal RNA (28S rRNA) and mitochondrial cytochrome C oxidase subunit I (COI) genes. Fish species were also identified using a DNA barcoding approach based on the COI gene. The monogenean species of Diclidophora merlangi (Diclidophoridae) were found in 45% of the fish species studied. The generic features of the Diclidophora genus distinguish this species. This species discriminated itself from congeners by having a muscular bulb with 17 grooved and recurved hooks, 218±10 (184–267) post-ovarian testes, and four pairs of pedunculated clamps of relative sizes. Partial 28S rRNA sequencing from monogeneans revealed that they grouped with members of the genus Diclidophora, forming a monophyletic group that supported the morphological descriptions. Molecular identification revealed that D. merlangi has a unique barcode made up of a COI sequence. The host identity was established as A. bifasciatus based on the COI gene sequences. Furthermore, a molecular phylogenetic study was performed to determine the phylogenetic affinity of parasite species and fish hosts. This study on Diclidophora species is considered the first record of this genus in the examined area.