bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Intelligent Management of Physical Education Teaching and Athletic Training Integration on Improving Teaching Quality
Authors: Cheng Chen 
Published: February 2025

Abstract
Currently, China is facing numerous challenges in the sustainable development of sports training, as it struggles to meet the demand for talent cultivation under the policy of integrating sports and education. In this paper, the motion particle filtering algorithm enables the tracking of students’ movement postures during sports training in physical education. It utilizes a sparse model to identify and estimate human movement postures. Then compare and analyze the key action frames in standard sports and student sports to identify irregular body movements. Based on the posture estimation model, an intelligent management and analysis system combining physical education and sports training is constructed to help improve the quality of physical education. The results show that the human posture estimation method can accurately acquire and analyze posture data of athletes and teachers in physical education. The application of the intelligent management system can help improve students’ sports knowledge and teachers’ coaching ability and has a significant effect on the improvement of most of the students’ sports skills (P<0.05), which has a positive effect on the improvement of the quality of sports teaching. The intelligent management system proposed in this paper can provide a targeted technical diagnosis for student-athletes, which offers a new idea for solving the difficult problem that human coaches’ cognitive decision-making cannot be replicated and opens the intelligent closed loop of sports training.
Quantitative model construction of colour application in modern ceramic art creation
Authors: Cheng Fawei 
Published: February 2025

Abstract
The use of colour matching plays an important role in the artistic creation of modern ceramics. In order to achieve efficient color matching applications, this paper proposes a color quantification algorithm and a color matching measurement algorithm based on visual characteristics. The use of human visual characteristics so that the colour in the combination of colour frequency and chromatic aberration in the various logical regions for quantification, the use of clustered feature trees to improve the speed of the implementation of colour quantification. A color matching evaluation method that integrates visual perception and similarity metrics is constructed, and an image translation model is used as the basis for intelligent color matching design. Apply the colour quantification algorithm and matching measurement method to design a series of ceramic works, “Days on the Clouds”. In terms of eye movement data, the average gaze duration and first gaze duration of ceramic works in this paper reached 1686.101ms and 399.217mss, respectively, and the number of average gaze points was 4.3575. The average preference score for color matching reached 7.17, while the average visual aesthetic score reached 6.722.
Research on the impact of physical education teaching reform on students’ physical fitness improvement in colleges and universities based on numerical analysis
Authors: Cui Jinfei 
Published: February 2025

Abstract
This paper collects and collates relevant information about school physical education teaching and physical education integration and proposes a reform path plan for physical education integration teaching of physical education majors from the individual level and the organizational level. It also uses multiple regression analysis to explore the influence of individual and organizational levels on the improvement of students’ physical fitness and health. The comparative experimental method was used to analyze the effect of teaching methods on physical fitness under the concept of integration of physical education on the improvement of physical fitness by taking a university student as the research object and setting up an intervention group and a control group. After analysis, it can be seen that factors at the individual level (sports motivation, health behavior P<0.01) and organizational level (environmental support, physical education faculty P<0.05, P<0.01) will have a significant positive impact on college students’ physical fitness and health. The intervention group’s performance on lung capacity index, test item of 50m, and minute sit-ups before and after the experiment was significantly improved (P<0.05).
Research on the Construction Path of Physical Education Teaching Reform Innovation Guarantee System Driven by Digital Technology
Authors: Cui Yuanyuan 
Published: February 2025

Abstract
Digital teaching is the main means of traditional sports teaching reform. This paper updates the teaching resources using a genetic algorithm and establishes a visual guarantee system for sports teaching reform, involving numerous stakeholders. Comparing the similarities and differences between traditional sports teaching and digital sports teaching, we use digital technology to innovate the sports teaching reform guarantee system, construct the basic framework, and analyze the school sports management organization system, the teaching quality process monitoring system, the teaching resource allocation system, and the school sports teaching quality evaluation system. This paper uses the genetic algorithm to train intelligent class scheduling and evaluate the effects of population size, adaptive parameters, and the number of courses on class scheduling results. Compare the student’s performance in various sports before and after the reform of physical education teaching. Analyze students’ attitudes towards reforming physical education teaching, organizing school sports management, and using sports assessment methods. In terms of satisfaction with school sports management organizations, the quality of school sports teachers includes their academic level, teaching methods, teaching organization, teaching attitude, teacher-student relationship, and so on. The overall satisfaction of students with school sports teachers under this method is greater than 4.0. The proper handling of the work of teachers in sports management organizations indicates that the digital reform of physical education teaching can be continued.
A Systematic Study of the Integration of Internet Technology to Improve the Teaching Quality of Physical Education Courses in Colleges and Universities
Authors: Fang Qiang 
Published: February 2025

Abstract
There are some problems in the teaching of physical education courses in colleges and universities, and the use of Internet technology to reform the teaching of traditional physical education courses has become an inevitable choice for the development of the times. In order to make the Internet technology perfectly fit the teaching of physical education courses in colleges and universities, the Internet technology-driven physical education teaching mode is designed. The combination of questionnaire survey method, independent sample t-test, and experimental method is adopted to systematically investigate the role of Internet technology in improving the teaching quality of physical education courses in colleges and universities. It was found that after the implementation of the teaching experiment, there is a significant difference between the teaching mode of this paper and the traditional teaching mode in basic knowledge, skill mastery, and sports literacy (P<0.05), which indicates that the effect of Internet technology on the teaching quality of college physical education courses is significant.
Research on Financial Fraud Identification Mechanisms Incorporating ESG Information
Authors: Fu Xiaoyu 
Published: February 2025

Abstract
Financial fraud has a destructive effect on corporate reputation and market trust, and it is necessary to choose effective technical means and discriminative information to identify enterprises involved in financial fraud. This paper constructs a financial fraud identification model based on the XGBoost algorithm and introduces financial and non-financial variables to discriminate fraud. The model in this paper, using the XGBoost algorithm, achieves 94.11% accuracy in 50 seconds. Incorporating ESG information to analyze the financial fraud identification mechanism of a company, it is found that the company has financial fraud risk factors in environmental information disclosure, employee and supply chain management, governance structure, and monitoring system. This suggests that the model proposed in this paper has a better identification effect, and the integration of ESG information can provide a more in-depth understanding of the mechanisms of corporate financial fraud.
Research on the Teaching Reform Path of Colleges and Universities in Transportation and Water Transportation Education in the Era of Artificial Intelligence
Authors: Li Erxi 
Published: February 2025

Abstract
The reform of education and teaching in colleges and universities is an important content in the medium and long term education reform of the country, and transport, as the bloodline of modern society, is the basic guarantee for the normal development of the society and the economy, and its corresponding teaching of the relevant professions needs to be transformed and innovated decisively. In this paper, taking the water transport direction of the transport profession as the main research object, the intelligent online Q&A platform is designed by combining the question matching algorithm of dependency analysis and semantic similarity, the knowledge base retrieval algorithm based on structured retrieval as well as the interactive retrieval based on the design principle of the TRIZ contradiction matrix. Through the interaction between the system and the user and the interaction between the user and the user, it promotes the user to change from passive interaction to active interaction and realises the intelligent education of water transport and transportation. Finally, after confirming the performance of the platform through experiments, a teaching comparison experiment was conducted to test the effectiveness of this intelligent teaching method. The results show that the optimised knowledge retrieval method can achieve intelligent retrieval of answers to the corresponding questions, which is feasible to a certain extent, and the teaching comparison reflects the significance of the experimental class and the control class (p<0.05), which indicates that the student’s learning ability has reached an improvement after using the knowledge retrieval-based intelligent teaching platform.
Research on automatic diagnosis and optimal control of faults in housing heating systems
Authors: Luo Nan 
Published: February 2025

Abstract
In this paper, Smith-Fuzzy PID is selected as the control strategy to construct a housing heating control system containing acquisition control and monitoring by the upper computer, which realizes the optimal control of heating. Meanwhile, an automatic diagnosis method for heating system faults based on recurrent neural networks and dynamic threshold algorithms is proposed. Using the LSTM network in deep learning, a prediction model for the target sensor observation is constructed, and the error between the model prediction and the actual observation of the sensor is calculated. The DT algorithm determines the abnormality threshold, and if the error falls below that threshold, the system operates normally, and vice versa. It is diagnosed as a system fault. The results show that the Smith-fuzzy PID control is capable of restoring the heating system to stability in only 0.240×104 s at the time of failure, which is significantly better than the PID and fuzzy PID control methods. Meanwhile, the examination of the automatic diagnosis model of heating system faults found that the average F1 values of the LSTM-DT algorithm are all above 90%, and the diagnosis performance is better in the strong noise condition, which has good practical value.
The role of information technology-based accounting internal control strategies in corporate risk prevention
Authors: Lyu Binjie 
Published: February 2025

Abstract
In today’s rapid development of information technology, accounting internal control strategy plays a vital role in enterprise risk prevention. This paper employs information technology to build an enterprise-level, informationized accounting internal control system. Data mining, the OLAP multidimensional analysis model, the multiple linear regression model, and other technologies are used to collect, process, and analyze financial data of enterprise A. The system proposed in this paper can enhance the strength of the enterprise in terms of debt repayment, operations, and profitability. For instance, the implementation of this paper’s system results in an increase in Enterprise A’s short-term solvency, with an average annual re-increase rate of the current ratio reaching 71% from 2021 to 2023. In addition, the system in this paper helps Enterprise A to eliminate financial risks, and the risk evaluation index F is 0.0819 in 2023, which is much higher than the critical value. The system in this paper achieves average scores of 4.022, 4.077, and 4 in the areas of management mode, rationality of the approval system, information base construction, system construction, and risk prevention.
Research on the impact and countermeasures of the integration of digital tools in the ideological education of higher education on the cultivation of students’ thoughts and behaviours
Authors: Song Rongbiao , Zhang Ji 
Published: February 2025

Abstract
College students have various ideological and behavioral characteristics, such as strong “self-centeredness,” which shows individuality, modernity, and holistic characteristics. Colleges and universities should explore professional education to support personalized development and cultivate new talents to take up the responsibility of national rejuvenation. In this paper, the K-Means clustering algorithm is used to initially extract and classify the behavioral characteristics of students, and the number of clustering results is classified according to the minimum error square function. The relative anomaly operator (ROCF) is used to determine the degree of anomaly for each class of campus individuals under unsupervised clustering. At the same time, the local anomaly factor algorithm LOF is combined to depict the center of the density of data points. Through the construction of an incremental algorithm, the dynamic data of student behavior is increased or decreased to establish a student’s behavioral profile. Combined with simulation experiments and empirical investigations, the ideological behavior of students is analyzed. In the comprehensive quality evaluation of students’ thoughts and behaviors, the ratings of students of the class of 2015 in the three time periods of the first semester of 2017, the second semester of 2017, and the second semester of 2018 were 68.0775, 63.8689, and 69.3028, respectively, which were decreased in the process but eventually got a small improvement. Compared to the Civics classroom, where no monitoring of abnormal student behavior was implemented, the overall quality of thought and behavior of the implemented classes of 2015 and 2016 were 68.154 and 68.455, respectively, which were higher than that of the unimplemented class of 2014.
Updating and Practical Research on Teaching Content of Accounting Information System in the Context of Big Data
Authors: Yan Dong , Dong Yuan 
Published: February 2025

Abstract
Accounting Information Systems is one of the main core courses for accounting and financial management majors, and the current reform and exploration of the teaching of this course is a hotspot for the teaching reform of accounting courses. The study analyzes the learning situation of teaching Accounting Information Systems, as well as the existing problems, and proposes solution strategies to address them. The EIP-CDIO concept is applied to the Accounting Information System course, and in order to verify the teaching effect of the improved teaching mode in this paper, teaching control experiments are carried out, and the independent t-test method is used to analyze the teaching data. The analysis results show that after applying the improved teaching model to the course, students’ information literacy, independent inquiry, and collaborative learning abilities have improved. In practice teaching, there was a significant difference between the two classes in terms of total course scores (p<0.05). Based on the results of the study, it is indicated that the improved teaching model has a significant positive effect on the teaching effectiveness of accounting information systems.
The Development of Chinese Fantasy Films Based on the Evolution of Digital Technology: A Study on the Stylistic Transformation of Director Urshan’s Works
Authors: Wang Simeng 
Published: February 2025

Abstract
Under the background of the “Internet+” era, traditional Chinese fantasy films present their breakthroughs, and the continuous collision and fusion of film art and digital technology have inspired the development of new forms of the film industry. This study extracts the narrative elements in director Urshan’s works and constructs a standardised observation matrix, then calculates the eigenvalues and eigenvectors of the matrix using the Jacobi method, and then adopts the principal component analysis method to select and visually analyse the key narrative elements. The research results show that the dialogue narrative element in Ghost Blows the Wind of the Dragon Seekers has the highest proportion of 39%. In contrast, the proportion of the three narrative elements of confrontation, fight, memories, and landscape in Beneath the Inhuman is higher. The digital special effects shots account for 85.42%, indicating that director Urshan gradually raises both the special effects technology and the narrative level style in the works of the spectacle film to a new level. This paper analyses Urshan’s directorial work as a stylistic text, providing a powerful reference for exploring the stylistic paradigm of fantasy films suitable for Chinese audiences and even for the world under the evolution of digital technology.
Application and Effectiveness Analysis of Transfer Learning Algorithm in Vocal Skill Enhancement
Authors: Xiao Jing , Shi Xiaoyuan 
Published: February 2025

Abstract
Humming training can help students overcome problems in areas such as pitch and interval difficulty and improve their musical skills. In this paper, we construct a humming training recognition model using a transfer learning algorithm as a way to improve vocal skills. The study adopts the convolutional network VGG-16 as the base model and fine-tunes it to obtain the model IVGG.The convolutional block of the IVGG model is used as a feature extractor to extract features from the preprocessed hum training corpus, and the effect of hum training is detected according to the model output. This paper’s method has a recognition rate of 81.33%. Based on the method of this paper, vocal skill enhancement training is conducted and compared with the traditional training model. The difference of students’ scores on the three dimensions of vocal learning interest, vocal learning attitude, and vocal learning ability are 0.508, 0.493, and 0.391, respectively, and the p-values are 0.003, 0.000, and 0.003, respectively.Compared with the traditional humming training mode, the humming training recognition model based on the transfer learning algorithm can be used to effectively improve the vocal music skills.
Research on the Innovative Path of Mental Health Education for College Students in Higher Vocational Colleges and Universities Aided by Computer and Intelligent Technology
Authors: Xu Liang 
Published: February 2025

Abstract
College students in higher vocational colleges and universities today face an accelerated pace of study and life, which, when combined with the challenging job market post-graduation, intensifies their psychological burden. As a result, college students experience different levels of mental health problems in their daily lives, studies, work, interpersonal relationships, and self-perception. According to the ambiguity and complexity of the psychological problems of college students in higher vocational colleges, a fuzzy, comprehensive judgment model is established. Then, the neural network psychological prediction model is constructed, through which higher vocational colleges and universities can predict the students who may have psychological problems in advance so as to give corresponding attention or measures in time. In the empirical test, the article takes the college students of a higher vocational college as the empirical research object and evaluates their mental health status. Then, the neural network prediction model designed in this paper is analyzed for its performance and tested for its prediction effect. The result of the comprehensive evaluation of the mental health status of college students in A higher vocational college is S = W * R = {0.281,0.132,0.058,0.025}, which means that the evaluation result of the mental health of college students in A higher vocational college is good.
Study on The Influence of Corridor 4 Feeder Transportation on Light Rail Transit (LRT) Passenger Demand in Palembang City TOD-based
Authors: Sarwandy M. Hijrah Agung , Royan Noto , Jaya Meldo Andi , Sulfiani Mega 
Published: February 2025

The existence of LRT feeder transportation in Palembang City is felt to be very helpful for the community in traveling both from home to work, shopping centers, and other public service centers. Moreover, the Palembang part of Ulu is a developing and densely populated area. Corridor 4 feeders of the LRT are included in the station area which has different characteristics in land use and building density. Polresta Station is included in the TOD Neighbourhood Medium Density typology (Jaya, M.A., Sary, R.K., Ramdhani, M.I. (2020). The purpose of this study is to evaluate the influence of Corridor 4 feeder transportation on the demand for Light Rail Transit (LRT) passengers in Palembang City based on Transit Oriented Development (TOD). The research data was obtained from surveys and load factor analysis. This study uses a quantitative approach, using regression and correlation analysis techniques. The results show that various variables, such as distance, travel time, and type of transportation, have a significant influence on the demand of LRT passengers.