bluuebunny/crossref_metadata_2025 huggingface dataset:
High doses of buprenorphine hydrochloride are well tolerated and produce a mild and prolonged thermal antinociceptive effect in orange-winged Amazon parrots (Amazona amazonica)
Authors: Douglas Jamie M. , Guzman David Sanchez-Migallon , Beaufrère Hugues , Paul-Murphy Joanne R.
Published: February 2025

Objective

To evaluate the duration of action and antinociceptive and sedative effects of buprenorphine hydrochloride following SC administration to orange-winged Amazon parrots (Amazona amazonica).

Methods

10 adult, healthy Amazon parrots were included. High-concentration buprenorphine formulation (1.8 mg/mL and 0.1, 1, and 2 mg/kg) and saline solution (0.9% NaCl; 0.55 mL/kg) were administered SC to the parrots in a within-subjects, complete, masked crossover study design. Foot withdrawal thermal threshold was determined prior to administration of treatment and 0.5, 1.5, 3, and 6 hours postinjection. Agitation-sedation scores were determined 1 to 2 minutes prior to each thermal challenge.

Results

Buprenorphine at 2 mg/kg significantly increased the thermal foot withdrawal threshold, whereas lower doses evaluated did not have a significant effect. Although no significant interaction effect of treatment*time was observed, the graphical data suggest that the effect could increase over time and still be present at the 6-hour time point. No significant effect of buprenorphine on agitation-sedation score or nausea-like behavior was observed.

Conclusions

SC administration of buprenorphine at 2 mg/kg has a mild thermal antinociceptive effect in orange-winged Amazon parrots, which graphically appears to have a slow onset and last for the duration of the testing times. In addition, buprenorphine did not cause agitation or sedation, nausea-like behavior, or vomiting. Further studies are needed to fully evaluate the effects of buprenorphine in psittacines.

Clinical Relevance

Buprenorphine hydrochloride could be considered for pain management in the orange-winged Amazon parrot and does not cause significant adverse effects following single SC administration.
Mild Transmissible Gastroenteritis in Pigs Suckling Vaccinated Sows
Authors: Larson D. J. , Solorzano R. F. , Morehouse L. G. , Olson L. D.
Published: February 2025

A strain of transmissible gastroenteritis (tge) virus of low virulence was isolated from 14-day-old pigs suckling sows vaccinated with an attenuated tge vaccine. Diarrhea developed in suckling pigs approximately 14 days after farrowing in 4 farrowings; however, none of these pigs died from diarrhea. Diarrhea ceased after the 4th farrowing, when vaccination of sows was discontinued. Experimentally, both the field isolate and the vaccine strain were infective and in some instances lethal for 2-day-old pigs exposed orally; however, neither strain was as virulent as the Purdue strain.
Progeny Testing for Bovine Syndactyly
Authors: Johnson J. L. , Leipold H. W. , Snider G. W. , Baker R. D.
Published: February 2025

Syndactylous donors, superovulation, embryo transfer, and fetal removal via cesarean section were used to test our Holstein-Friesian bulls suspected of being heterogous for syndactyly. Two bulls produced syndactylous fetuses, and thus were proved heterozygous. The other to bulls each sired eight normal fetuses and were assumed to be homozygous normal.
Clinicopathologic manifestations of progressive renal disease in Lhasa Apso and Shih Tzu dogs
Authors: O'Brien Timothy D. , Osborne Carl A. , Yano Barry L. , Barnes Donald M.
Published: February 2025

Chronic generalized renal disease was detected in 21 Lhasa Apso and 14 Shih Tzu dogs. Most were growing pups or young adults at the time of diagnosis. The most commonly reported clinical abnormalities were vomiting, polydipsia, weight loss, and diarrhea. Less frequently reported signs included polyuria, anorexia, dehydration, and depression. Common abnormal laboratory findings included non-regenerative anemia, impaired ability to concentrate urine, and azotemia. Less common abnormal laboratory findings included hyperphosphatemia, hypocalcemia, metabolic acidosis, hypoproteinemia, hyperamylasemia, and mild hyperkalemia. Two dogs were mildly hypercalcemic. Gross morphologic renal changes included bilateral reduction in size and irregular capsular surfaces. Microscopic lesions of varying severity affected various components of nephrons in the cortex and medulla. Cortical lesions were often segmental in distribution; medullary lesions were consistently diffuse and generally more severe than those in the cortex. Lesions in both areas commonly resulted in destruction of nephrons, with subsequent replacement by collagenous connective tissue. Infiltrates of interstitial mononuclear cells were conspicuously absent.

The cause of the renal disorder in Lhasa Apso and Shih Tzu dogs could not be determined on the basis of observations in this study. Current managment is limited to appropriate supportive and symptomatic therapy designed to minimize fluid, electrolyte, acid-base, endocrine, and nutrient imbalances caused by renal dysfunction.
Research on optimisation of transformer manufacturing process and construction of smart factory based on digital twin technology
Authors: Yang Jiexuan , He Xuye , Zhang Jian , Wu Xingwang , Wang Hong
Published: February 2025

As the manufacturing process of a transformer needs to go through many kinds of processes, the good or bad manufacturing process directly affects the performance level of the transformer. In this paper, the green manufacturing process chain of transformers is established by comprehensively considering resource and energy consumption, as well as environmental impact. Based on the existing technical architecture of the manufacturing workshop, a digital twin technology architecture system is proposed for the manufacturing process. Starting from the three dimensions of the key elements of the twin model, entity modelling, digital twin virtual modelling, and virtual-reality mapping association modelling, a unified logical data model is established, and the design of the smart factory of a transformer manufacturing enterprise is completed. Experiments show that in the new working conditions based on digital twin technology, the accuracy error in transformer production is less than 0.02mm, and the production order delay rate has significantly improved. The manufacturing process optimisation module has better processing parameter monitoring and processing process simulation performance and also realises the constant power adaptive control of the processing process, which helps to improve the processing efficiency and processing accuracy of the manufacturing process.
A data-driven high-speed railway service quality optimisation model and its influencing factors for grouping research
Authors: Yuan Fang , Qiu Xiaodong
Published: February 2025

High-speed railway service quality is a kind of experience and the degree of satisfaction of the experience when passengers consume passenger transport services, focusing on the process of service and the perceived satisfaction of passengers. This paper establishes the service quality evaluation index framework and system for high-speed railways by combining the concept of service quality for high-speed railways with the SERVQUAL model. The SERVQUAL evaluation model calculates the SQ score of each service factor to understand the change in service quality and combines the index weights and scores to calculate the recommendation degree of service quality optimisation of high-speed railways. The fsQCA method is introduced to construct the high-speed railway service quality influence model, and the data is obtained through a questionnaire to carry out a group analysis of the influence factors. The mean value of the evaluation score of high-speed railway service quality is -0.46, and the optimisation recommendation degree of the high-speed railway service quality optimisation indicators that need to be optimised is lower than -0.01. The coverage of the solutions in the group analysis is 0.872, which indicates that the five groupings are able to explain more than 87.2% of the high-speed railway service quality related cases in the sample. The data-driven service quality optimisation of high-speed railways needs to pay attention to the optimisation of basic service equipments and tools, and improve the dynamic response ability to better satisfy the needs of passengers in order to enhance their sense of access.
Research on power dynamic data sample generation technology based on brain-like computation and its efficient computation methods
Authors: Zhang Peng , Zhang Guoliang , Zhou Fei , Kong Qingyu , Chu Zongbo , Fan Xiaoyu , Xia Weishang
Published: February 2025

The paper aims to address the issue of insufficient fault samples in UHV converter equipment, which hinders their intelligent operation and inspection. For the operation and inspection of UHV converter equipment, this paper suggests a multimodal brain-like learning sample spatio-temporal correlation generation method. This method grabs typical fault samples from the defect-fault development time sequence process and creates samples using the nearest-neighbor generating segment technique by fusing the time sequence evolution law and the similarity of the adjacent samples. Based on the physical model of the converter and converter valve, we analyze the fault development laws of partial discharge, high temperature overheating, and micro-motion wear. The multimodal fault sample generation model with an embedded fault mechanism is established by integrating the time-sequence fault evolution mechanism and the spatial correlation between multimodal state quantities. The simulation demonstrates that brain-like learning generates samples embedded in the fault evolution laws of converter partial discharge and converter valve IGBT micromotion wear in 539 columns, encompassing 376 converter and 163 converter valve cases. The consistency between the generated samples and the actual samples exceeds 90%, thereby facilitating the training of brain-like models for health assessment of extra-high-voltage converter equipment, fault diagnosis, and trend prediction.
Research on Interactive Content Development of Vocal Music Teaching in College Music Courses in the New Media Era
Authors: Hu Zhanjun
Published: February 2025

With the rapid development and popularity of the Internet, the integration of teaching content and new media is constantly deepening. Modern new media technology is being applied to the teaching of vocal music, and studying the combination of new media and vocal music teaching is crucial for advancing the development of vocal music curricula in colleges and universities. This study concentrates on interactive content, examining the interactive expression methods of new media technologies from a fresh perspective. Combined with the demand for the cultivation of students’ core qualities in vocal music teaching, the study further develops and optimizes the interactive content of vocal music teaching, integrates it with vocal music teaching, and proposes a vocal music teaching mode based on the optimized interactive content of this paper. To further verify the effectiveness of the vocal music teaching mode, this paper employs the hierarchical analysis method and factor analysis to construct an evaluation index system that measures the impact of interactive vocal music teaching. The weights of the five first-level indicators in the evaluation index system of this paper are 0.315, 0.300, 0.198, 0.083, and 0.104, which make the evaluation indicators reasonable and effective. In the teaching experiment, the mean value of each index in the optimized vocal music teaching mode, which is based on the development of new media interactive content, ranges from high to low: the teaching content (4.635), the teaching effect (4.552), the teaching goal (4.430), the teaching average (4.354), and the teaching method (4.123). The overall mean score was 4.339, indicating excellent overall teaching effectiveness and providing new insights into the development of interactive content for vocal music teaching.
Research on the Role of Digital Media Technology in the Cultural Inheritance of Fujian-Taiwan Folk Songs
Authors: Guo Wei , Wang Xiaoning , Tong Weiwei
Published: February 2025

Fujian-Taiwan folk song culture is a typical representative of the excellent traditional culture of the Chinese nation, and it has important cultural and artistic value for the inheritance and protection of Fujian-Taiwan folk song culture. In this paper, an infectious disease model is used to construct a cultural inheritance model of Fujian-Taiwan folk songs. The model parameters are solved using genetic algorithms to explore the influence of digital media technology support on the cultural inheritance development trend of Fujian-Taiwan folk songs. Based on digital media technology, the Hidden Markov Algorithm is used to design an automatic creation model for Fujian-Taiwan folk songs. It improves the quantity and quality of the creation of Min-Taiwan folk songs, increases the dissemination base of Min-Taiwan folk song culture, and thus promotes the inheritance of Min-Taiwan folk song culture. The HMM model used in this paper is significantly better than other models involved in the comparison of both reconstruction performance and objective index evaluation. In the subjective human-ear comparison, the mean scores of the Fujian-Taiwan folk song samples created by the HMM model in terms of naturalness and pleasantness were 8.47 and 8.39, respectively, which were significantly higher than those of the other models, and were closer to the mean scores of the real samples. This paper’s model is effective in creating Fujian-Taiwan folk songs and contributes to the lasting heritage of Fujian-Taiwan folk song culture.
A Study of Using Deep Learning Technology to Improve the Accuracy of Polyphonic Singing in Community Choirs
Authors: Li Yue , Wang Dan
Published: February 2025

Polyphonic choral singing can not only cultivate musical imagination and improve musical literacy but also allow singers to feel the harmonious and beautiful musical rhythm during polyphonic choral singing. To improve the accuracy of polyphonic singing, the study designed a music source separation structure based on recurrent neural networks using deep learning technology. And, combined with ResNet and CBAM, a joint neural network based on Res-CBAM was designed for optimization. After that, the main melody of the human voice was extracted using the polyphonic music melody extraction algorithm that was created in this paper. The listening training was then done in three areas: pitch, rhythmic rhythm, and vocal balance. The trained community choir members showed significant improvements in singing ability, breath control, pitch, rhythm, polyphonic choral ability, and expressiveness (p<0.05). It indicates that the auditory discrimination training based on the polyphonic music melody extraction algorithm has a facilitative effect on the accuracy of polyphonic singing in the choir.
Innovative Research on Digital Talent Cultivation Mode of Higher Vocational Innovation and Entrepreneurship Education Promoted by Industry-Teaching Integration
Authors: Kong Tingting , Feng Lin , Guo Quan
Published: February 2025

As an important concept of modernisation and reform of higher vocational education, the integration of industry and education can make important contributions to economic and social development, and it is also the main mode of higher vocational education. By studying the trend of the development of higher vocational industry-teaching integration, this paper finds that the top three secondary themes of industry-teaching integration are 3,875 articles on industry-teaching integration, 855 articles on talent cultivation and 758 articles on digitisation, and digital talent cultivation is still popular in the research of industry-teaching integration. In order to promote the integration of industry and education in higher vocational innovation and entrepreneurship education and explore the digital talent cultivation mode, this paper constructs a comprehensive evaluation index system for the integration of industry and education through fuzzy hierarchical analysis on the basis of hierarchical analysis and fuzzy comprehensive evaluation, using triangular fuzzy numbers to act as the evaluation language. Then the dilemmas and problems of de-development are analysed using the evaluation system that integrates industry and education. It can be seen through the evaluation results that, in the evaluation index system of integration of industry and education, the effect index of integration of industry and education is the highest at 84.109. However, the score of the index of resource allocation for the integration of industry and education is only 56.754, and there are serious problems with resource allocation in the development of the integration of industry and education. For this reason, this paper constructs a digital talent cultivation model for higher vocational innovation and entrepreneurship education, starting from the talent cultivation mechanism and resource cooperation path for the problems of industry-teaching integration, in order to achieve the deep intermingling of innovation and entrepreneurship education and industry-teaching integration in higher vocational education and to promote the cultivation of digital talents.
An empirical study on the improvement of students’ physical fitness and health in college physical education programmes based on big data
Authors: Chen Jun
Published: February 2025

Improving the quality of college physical education classroom teaching, ensuring that the course can achieve the due exercise load, and at the same time ensuring that the content arrangement of the physical education classroom can promote the development of students’s physical fitness and health, has become an important issue facing the physical education teaching in colleges and universities. This paper constructs a sports teaching IOT platform based on heart rate monitoring, which takes the heart rate belt as the sensor and completes the connection and transmission of the user’s heart rate data through the NFC device and the mobile smart device based on the Android system. It realizes the monitoring of the user’s heart rate data. Based on this heart rate monitoring platform, a decision tree algorithm for college students’ physical fitness data analysis is proposed, which analyzes the physical fitness and health status of the overall students in the school through the uploaded heart rate data, thus providing reasonable suggestions for the arrangement of physical education curriculum content. The heart rate monitoring method in this paper can achieve over 85% monitoring accuracy in a shorter execution time, and the decision tree algorithm for college student fitness optimization can control the students’ heart rate within the optimal heart rate index interval of aerobic exercise. Physical fitness test experiments show that they can provide the basis and guarantee for the core literacy of students’ physical education courses, and provide new ideas for promoting the innovative development of physical education.
Knowledge Graph Technology Helps Intelligent Reform of Innovation and Entrepreneurship Guidance Courses for College Students
Authors: Chen Yeting , Chen Wenchi
Published: February 2025

Constructing personalised learning resources based on a knowledge graph is an innovative work for the intelligent reform of college students’ innovation and entrepreneurship guidance courses. In this paper, we design a personalised recommendation method for resources based on a knowledge graph and finally construct a KG-NCF model to realise intelligent recommendations of learning resources for college students’ innovation and entrepreneurship guidance courses. The study uses the recall evaluation index to validate different recommendation methods. The average recall of this paper’s method is 0.738, which is higher than other algorithms by 0.044 to 0.132. The mean value of students’ evaluation of the innovation and entrepreneurship guidance course applying this paper’s method is 3.37 points, which is 1.37 points higher than the standard score. It shows that the personalised resource recommendation model based on a knowledge graph can provide higher quality innovation and entrepreneurship learning resources for university students.
Impact of Intelligent Management of Physical Education Teaching and Athletic Training Integration on Improving Teaching Quality
Authors: Cheng Chen
Published: February 2025

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
The Values of Religiosity in Environmental Awareness: A Holistic Approach to Sustainability
Authors: Simanungkalit Josua Chariston , Manalu Maria Magdalena
Published: February 2025

This research aims to explore the role of religiosity values in building environmental awareness with a holistic approach to achieve sustainability. Using qualitative methods, data are collected through interviews, observations, and document studies on religion-based communities in Indonesia, such as Islamic boarding schools, churches, and other spiritual groups. The study found that religious values, such as caliph in Islam, stewardship in Christianity, and ahimsa in Hindu-Buddhism, become the moral foundation that encourages communities to maintain harmony with nature. These values motivate spiritually-based environmental practices, such as tree planting, waste management, and water conservation, which are often associated with religious rituals. However, the successful implementation of religiosity values in environmental programs faces several challenges, including differences in the interpretation of religious teachings, limited resources, and lack of policy support. To address these challenges, a holistic approach that integrates spiritual values, science, and technology has proven effective. For example, the use of environmentally friendly technology combined with religious teachings shows significant results in increasing public awareness and participation. This study concludes that the values of religiosity have great potential in building sustainable environmental awareness and behavior, especially when integrated with a cross-sectoral approach. These findings make practical and theoretical contributions in supporting spirituality-based environmental movements, while opening up space for further development to create a more ecologically and spiritually sustainable future.
Comparison of Students' Learning Behaviors in Face-to-Face and Online Lectures (Case Study: 2019 Cohort Students of Japanese Studies Program, Universitas Airlangga)
Authors: Syahrial Ghulam Bintang
Published: February 2025

This article discusses the phenomenon of online learning, which has been accelerated by the COVID-19 pandemic. The pandemic has compelled various sectors, including education, to adapt. In higher education, Japanese language learning has inevitably been conducted online. The sudden acceleration due to the pandemic has inevitably led to changes in students' learning methods. This article investigates how students of the Japanese Studies Program at Airlangga University, particularly the 2019 cohort, adapt to new learning habits from the perspective of technological determinism by Marshall McLuhan. The study employs a qualitative method, conducting interviews with five students. The results reveal that changes in teaching methods by Japanese language course instructors triggered changes in students' learning approaches. These adjustments aimed to facilitate the teaching-learning process in an online setting. However, online learning posed challenges such as distractions, fatigue, and the absence of direct discussion with peers. To overcome these obstacles, students adopted alternative strategies to understand Japanese grammar patterns.
Analysis of Potential and Strategies for Developing Community-Based Sustainable Tourism in Mulo Village, Gunung Kidul, Yogyakarta
Authors: Malik Deni , Nasution Ucok Binanga , Sholeh Muhammad , Pratiwi Rachma , Rabbani Khansa Suma
Published: February 2025

Mulo Village is one of the villages that has adopted the concept of CBT (Community-Based Tourism) as the foundation for the development of tourist attractions. Community empowerment was chosen because the management hopes or expects that the local community can play an active role in the development of tourist attractions and directly benefit from tourism. Mulo Village has a strategic location and potential natural resources, yet currently only two natural tourist attractions are developed: Ngingrong Cave and the Sewu Mountain Geopark Batu Park. Therefore, there is still great potential to discover other attractions with appeal. The purpose of this research is to map the tourism potential in Mulo Village and to understand the characteristics of tourism in Mulo Village based on the indicators of sustainable tourism. The method used in this study is a qualitative approach with descriptive analysis to identify tourism management and explore the potential in Mulo Village. Based on the research findings, it is known that Mulo Village has human and natural resources that serve as tourism attractions. In principle, Mulo Village does not yet meet the principles of sustainable tourism development, so improvements are needed in aspects such as human resources and the uniqueness of the attractions. From the seven principles of community-based tourism development, Mulo Village still does not meet these seven principles and thus requires development in areas such as accommodation, promotion, services, the development of industry and agriculture, and transportation infrastructure.
The Role of the Homeroom Teacher in Improving Discipline of Family Dysfunction Students at Labschool STKIP Muhammadiyah High School, Sorong Regency, Southwest Papua
Authors: Khoiri Abdul Azis
Published: February 2025

Family dysfunction is a condition where there is conflict or disagreement between one individual and another individual in a family, causing a loss of affection, warmth and a sense of well-being. Respect each family member. This research aims to determine the forms of dysfunction family, description of student discipline, family dysfunction, and the role of guardians class in improving the discipline of family dysfunction students in high school Labschool STKIP Muhammadiyah Sorong Regency. This type of research is descriptive with a qualitative approach. The results of the research show that the dysfunction that occurs in students at SMA Labschool STKIP Muhammadiyah Sorong Regency, namely education, economics, and communication. An overview of student discipline This dysfunctional family experiences problems with school violations, including not doing assignments on time, not wearing uniforms according to the rules, skipping school, and speaking harshly towards teachers. The role of the homeroom teacher is in improving student discipline family dysfunction, namely, advice and guidance, motivational and enthusiastic support, direction obtained through interpersonal guidance, emotional approaches, exemplary discipline, routine supervision, and collaboration with the school, family and community.