bluuebunny/crossref_metadata_2025 huggingface dataset:
RPA Technology Enables Highly Automated Development of Corporate Financial Accounting Processes
Authors: Yao Meiqin
Published: February 2024

The article discusses the application of RPA (Robotic Process Automation) technology in financial management and demonstrates its remarkable effectiveness in improving efficiency and reducing costs. The article establishes an automated accounting method for enterprise finance using RPA technology through statistical analysis, classification processing, and feature extraction of enterprise financial data. The consistency check method is used to verify the fit and reasonableness of the method. Practically applied to the financial accounting process of Enterprise A, the method dramatically reduces the time for reconciling bonds and funds from 60 minutes to 2 seconds, significantly improving the accounting efficiency. In addition, the method ensured that the accuracy of statement filling reached 100% and reduced the labor cost of enterprise accounting from 17.58 million yuan to 6.88 million yuan, a reduction of 2.56 times. The article emphasizes that the established financial accounting method increases the enterprise’s profitability and lays a solid foundation for the development of financial accounting automation.
Study on energy efficiency improvement strategy of photovoltaic-hybrid energy storage DC microgrid considering green energy saving concepts
Authors: Zhang Zhi , Han Yonglu , Zhu Huan , Wu Bo
Published: February 2024

In this paper, the development of microgrid technology is discussed in close connection with the growing energy demand and the real needs of energy structure adjustment in the context of the times. Guided by green energy saving, the research focuses on constructing a hybrid energy storage DC microgrid model, especially the integrated photovoltaic power generation model and the related control strategy and power characteristics. The article further adopts a fuzzy PID control strategy to optimize the energy efficiency configuration of hybrid energy storage devices in DC microgrids. By carefully analyzing and optimizing the energy storage system in the DC microgrid, remarkable results are obtained: the optimized capacitive charge states range from 0.1 to 0.9, indicating a significant fluctuation of capacitive charge states, but at the same time avoiding the phenomenon of light abandonment and ensuring the reliability of power supply. More notably, during the increase of SOC (state of the energy storage system) from 0.40 to 0.70, the system can perform mode transitions under continuous load changes. This point shows the effectiveness of the optimization method in improving the energy storage efficiency and enhancing the system performance of the DC microgrid. Overall, the optimization method proposed in this paper provides a practical energy storage optimization scheme for developing microgrids, which is of great practical significance in promoting the research and application of microgrid technology. This not only helps to improve the efficiency of energy use, but also is a crucial step to realize sustainable energy development.
Design and Planning of Tourism Path Based on Social Media Sharing Data Mining
Authors: Huang Meizhong , Pan Jiang , Yan Cheng
Published: February 2024

In recent years, along with the rapid development of artificial intelligence, big data and social media, informatization in the tourism industry also shows an explosive trend. This paper constructs a tourism path planning system based on data mining technology and the selection method of the optimal path. The GS algorithm is used to optimize the SVM algorithm to form the GS-SVM fusion algorithm, which makes the tourism path planning and predicts the optimal path according to the specific conditions of the journey, the characteristics of the scenic spot itself, and the tourists’ needs. After testing, this system has a good prediction performance on the traffic accessibility, attraction congestion and crowd change of scenic tour path. It is found that the transportation accessibility of scenic tour paths is positively correlated with tourists’ experience. In addition, in the experiment on the advantages and disadvantages of tourism paths, the passage time of paths 14, 15 and 16 is more than 3 minutes. Still, the actual length of these three paths is not more than 350m, which indicates that there are things for tourists to visit and experience on the passage paths, thus lengthening the passage time. This shows that the system provides real-time and reference paths for tourists by mining social media sharing data.
Research on the evaluation method of rock brittleness characteristics based on stress-strain curve
Authors: Tang Xuan , He Yi
Published: February 2024

In this study, not only the variability of the internal texture of rocks is considered in the in-depth investigation of the brittle fracture properties of rocks, but also the effects of different stress states and temperature factors on the fragility of rocks are focused on. Through experimental studies and data analysis of various types of rocks under different stress conditions and temperature environments, this study found that the plasticity of marble is positively related to stress. Under other stress states of 5, 15, 25, and 35 MPa, the stress-strain curves become flatter with increasing stress. Under uniaxial stress condition, the fragile strengths of different rocks are sandstone, red sandstone, granite, marble, chert, and cement mortar in that order. Whereas, under triaxial stress condition, the fragility of the rock samples was in the order of fine-grained granite, coarse-grained granite, sandstone, tuff, and marble. It was further found that the rock specimens after different high-temperature water-cooling treatments exhibited four different stages of brittle fracture, and the peak of the first stage of the rock was higher as the temperature decreased. The inclination of the peak was inversely proportional to the temperature. This study provides an essential scientific basis for the in-depth understanding of the brittle fracture characteristics of rocks and their engineering applications.
Classification and Value Assessment of Sports Intangible Cultural Heritage Resources Combined with Digital Technology
Authors: Zhang Yongjiang , Ala Tengcang
Published: February 2024

This paper is dedicated to designing and constructing a knowledge ontology framework for sports intangible cultural heritage (ICH) resources, aiming to support their preservation and inheritance by integrating and mining sports ICH resources. The study includes the collection of multiple data of sports ICH from various data sources, and constructing ICH knowledge ontology using CIDOC CRM metadata reference model and seven-step method. To enrich the content of the ontology, the TextRank algorithm is used to extract textual critical information and design a domain-specific NER model for sports NRL. In addition, the study adopts the VSM vector space model for text representation and uses an improved hierarchical classification model for text categorization to improve classification accuracy. The study also explores the similarity calculation of concepts in the sports NRM ontology and proposes a semantic similarity calculation formula based on the ontology concepts. Respondents’ willingness to pay was investigated through the conditional value method (CVM) to assess the value of sports NRM tourism resources. Finally, the influencing factors of respondents’ willingness to pay were analyzed using statistical analysis and Logistic regression model, and it was found that they were mainly influenced by the degree of understanding of sports non-heritage resources and the level of education. The results of this study not only provide theoretical and methodological support for the effective integration and excavation of sports non-heritage resources and a new perspective for their protection, inheritance and sustainable development.
A Comparative Analysis of Japanese Learners’ Translation Bias Using Neurosemantic Analysis
Authors: Cao Zheng
Published: February 2024

In today’s increasingly frequent cultural exchanges between China and Japan, accurate and error-free Japanese translation has become an inevitable choice for cross-cultural communication. In this paper, based on twin neural network and attention mechanism, BiLSTM model is combined with sentence semantic similarity matching algorithm to construct a Japanese translation bias sentence semantic similarity model. The Japanese corpus data were collected and preprocessed by Python technology, and the Japanese translation corpus database was searched and counted using Wordsmith and AntConc tools. For the Japanese learners’ translation bias in the Japanese translation process, a comparative analysis was carried out in several aspects, such as end-of-sentence modal expressions, consecutive translations, and word frequency effects. The study results show that the difference in the frequency distribution of Japanese learners’ modal expressions is only 4.66% compared with that of native speakers of Japanese. Still, the difference between the two is significant at the 1% level, and the difference in the frequency of Japanese learners’ use of the modal expression “yes” is 56 sentences per 10,000 sentences. The frequency of Japanese learners’ use of successive expressions was 30.1 percentage points higher than that of native speakers. The neural semantic analysis method combined with the Japanese translation corpus can clarify the translation bias of Japanese learners in the process of Japanese translation, which can provide a reference for enhancing the translation quality of Japanese learning.
The Path of Cultivating Music Appreciation Ability in Piano Education in Colleges and Universities in the Internet Era
Authors: Dai Xiaoqin
Published: February 2024

With the Internet and AI technology development, piano education in colleges and universities faces innovative challenges. This study explores the effectiveness of the Internet-based teaching mode in enhancing students’ music appreciation ability. The study adopts a teaching model based on the Internet and AI technology, combining automatic composition, arranging and piano concerto repertoire sessions, and AI+professional teachers’ collaborative evaluation. By implementing a creative thinking teaching module, including pre-course preparation, classroom training and presentation, and post-course communication, the study aimed to improve students’ music appreciation and creative thinking skills. The study results showed that students demonstrated significant improvement in music appreciation skills. The data showed that students who participated in the new teaching model showed an average of 25% improvement in music appreciation skills assessment. In addition, students’ creative thinking skills were also enhanced, with 85% of them demonstrating a high level of innovative music composition. The college piano education model integrating Internet and AI technologies significantly improves students’ music appreciation ability and creative thinking. This model enhances the interactivity and fun of teaching, provides students with a broader platform for musical understanding and practice, and offers new perspectives and methods for music education in colleges and universities.
Analyzing the Development History of Chinese Ceramic Packaging Containers and Their Modern Design Innovation Based on Multivariate Statistics
Authors: Wu Yuzhou , Tao Tao
Published: February 2024

This paper explores the development history and modern design innovation of Chinese ceramic packaging containers through multivariate statistical analysis, revealing their essential role in the market and cultural heritage. The development history and contemporary design innovation of Chinese ceramic packaging containers are studied in depth. The study finds that ceramic packaging containers have evolved from prehistoric hand-kneaded small pieces to the present, constantly incorporating new crafts and cultural elements. Regarding formal aesthetics, the use of rhythm and rhyme in ceramic packaging containers grew at 81.13% between 2015 and 2020, suggesting that designs tend to be more dynamic and expressive. Data analysis shows that the key factors influencing the design of ceramic packaging containers include process technology, trade development, cultural concepts and religious beliefs. Regression analysis indicates that these factors significantly positively impact the design quality of ceramic packaging containers, with a model fit of 63.52%, revealing that these factors jointly promote the improvement of design quality. Innovative combination of traditional elements and modern technology is the key to fostering innovation of ceramic packaging container design and cultural heritage. The market competitiveness and cultural value of ceramic packaging containers can be effectively promoted by emphasizing the development of craft technology and the integration of cultural elements.
Supervision and guarantee of constitutional normativity in a legal system aimed at legal regulation
Authors: Xu Juan
Published: February 2024

This study focuses on the monitoring and safeguarding constitutional normativity in the legal system, explores its empirical Analysis in environmental protection law and patent law, and emphasizes the importance of the legal named entity identification model and legal instrument element extraction. The study adopts the implicit Markov-based legal named entity identification model and the Bleem model oriented to extracting legal instrument elements. In environmental protection law, we explored the correlation between the content and manner of law enforcement through a quantitative analysis model. We found that the correlation between pollution prevention and source prevention was 0.575, showing a strong correlation. We analyzed the R&D investment data of 23 provincial-level administrative division units in patent law from 2009 to 2023. We found that in-house R&D expenditures increased from 65% to 78.5%, proving the significant incentive effect of the patent law reforms on enterprise R&D investment. Adequate supervision and guarantee of constitutional normativity play an essential role in the improvement and practical implementation of the legal system, especially in the fields of environmental protection and intellectual property rights.
Study on the Innovative Application of Civil and Commercial Law in the Context of E-Commerce in the Internet Era
Authors: Wang Xuefang
Published: February 2024

This paper focuses on the innovative application of civil and commercial law in the context of e-commerce in the Internet era, and explores how e-commerce affects the application and innovation of civil and commercial law, aiming to provide theoretical support and practical guidance for the legal environment in the era of e-commerce. A combination of theoretical Analysis and Poisson regression model is used to analyse the impact of e-commerce on civil and commercial law, and a robust regression model based on mean drift penalty is constructed for quantitative Analysis. It is found that the development of e-commerce positively impacts the effectiveness of civil and commercial law. The data show that for every unit increase in the level of e-commerce development, the efficacy of civil and commercial law increases by 0.318 points (p<0.01). In addition, regional analyses show that e-commerce has the most significant impact on civil and commercial law in the central region, followed by the west and the east, and the impact is not substantial in the northeast. The time-lag effect analysis shows a weak lag effect on the impact of e-commerce development on the effectiveness of civil and commercial law. The conclusion indicates that in the context of the rapid growth of e-commerce, it is necessary to innovate the application of civil and commercial law to adapt to the new business environment, protect the legitimate rights and interests of both parties to the transaction, and promote the healthy development of e-commerce.
The Inheritance and Development of Ethnic Folk Dance in Dance Teaching under the Background of Informatization
Authors: Xiong Yan
Published: February 2024

With the arrival of the informationization era, the inheritance and development of ethnic folk dance in dance teaching faces new challenges and opportunities. This paper discusses effectively inheriting and developing ethnic folk dance under informationization. The research methodology includes the Analysis of folk dance movement characteristics, movement capture and feature extraction based on Kinect acquisition technology. The results show that the dancer’s movement data can be accurately recorded by Kinect capture technology, and the error of capture coordinates can be minimized up to 1.115. The study also finds that the dance movement features can be effectively extracted using Gaussian Mixture Model Background Subtraction and Median Filtering preprocessing techniques. In addition, the “Trinity Teaching Assistive Technology” proposed in this study can improve teaching quality. The application of information technology not only promotes the scientific and standardized teaching of folk dance, but also helps improve students’ skills and creativity.
Research on the digital construction mode of college music teaching curriculum based on knowledge mapping
Authors: Yang Yaokun
Published: February 2024

The study uses the MKR (Multi-task Knowledge-aware Recommendation) model, which integrates knowledge graphs and multilayer perceptron networks, and focuses on mining users’ high-level music preferences from music information and user behaviors. The study first introduces the three core parts of the MKR model: the recommendation task module, the knowledge learning module, and the cross-compression unit. Then, by optimizing the MKR model, the A-MKR (Attention-based MKR) model is proposed, which introduces the attention mechanism to further improve the model performance. In the application of music teaching, the study explores the keyword analysis of music education, digital teaching methods and their effect evaluation. The experimental results show that compared with traditional teaching, the digital teaching model performs better in both field assessment and ability growth, and the error rate is significantly reduced. For example, the digital group scored 1.3 and 9 points higher than the traditional group in field assessment and ability growth, respectively, and the error rate was reduced by 5.8%. This study proves the effectiveness and practical value of knowledge mapping based on the MKR model in the digital transformation of music teaching in colleges and universities. It provides new perspectives and methods for future music teaching.
Research on the reform of the modularized curriculum of “Cultivation Technology of Northern Taoist Medicinal Herbs” in the context of the new version of GAP
Authors: Sun Liang
Published: February 2024

This study explores the reform of the modularized course “Cultivation Technology of Northern Daoji Medicinal Herbs” in the context of the new version of the “Good Agricultural Practice for the Production of Chinese Medicinal Herbs” (GAP). The research methods include skill mapping and knowledge structure analysis, formal context theory, ensemble and analytic models, and learning path planning algorithms based on KL dispersion and matrix eigenvector similarity. These methods aim to construct course knowledge structures, clarify teaching and learning priorities, and generate personalized learning paths. RESULTS SURFACE: The established course knowledge network reveals the relationship between knowledge points through skill mapping and knowledge structure analysis. The network density is 0.0624, indicating fewer connections between knowledge points. The course contains 68 knowledge and skill points, among which the Degree of centrality of the skill node “Dewhead Cultivation” is the largest. Based on the analyzed knowledge networks and learning paths, the course was divided into several modules, each tailored to specific teaching objectives and students’ learning needs. Through the effective integration of skill mapping and knowledge structure, the modularized curriculum reform of “Cultivation Technology of Northern Medicinal Herbs” in the context of the new GAP not only improves the quality of teaching, but also meets the personalized learning needs of the students, and provides a new direction for future education.
Characterization of Business English Translation Styles Based on Semantic Contrastive Analysis
Authors: Ji Xiangyan
Published: February 2024

Language genre is a form of language expression formed by certain people from specific purposes in a particular context, and no form of language expression can exist independently of genre characteristics. The study adopts the space vector model to digitally represent the potential semantics of business English translation. By constructing a translation-word matrix and applying the TF-IDF method to calculate the weights of the elements in the matrix, the study proceeded to perform a singular value decomposition of the matrix. This process helps to extract the features of corpora similarity in business English translation, which in turn completes the construction of a language model for business English translation. The study selected a business English translation corpus for instance analysis. The data results show that in the interaction and information feature analysis, the mean values of ECQ (interaction feature quantitative value) features are higher than TCQ (information feature quantitative value) in three different periods, with the differences of 0.0992, 0.0534 and 0.043 respectively. Regarding the standardized scores of the stylistic features, 24 stylistic feature indexes meet the standardization requirements, accounting for 75% of the total indexes. This finding provides an essential basis for understanding the differences between Business English and other stylistic features. The research in this paper has significant application value for professionals in business English translation.
Synergistic Coupling Mechanism of Digital Media Art and Vocal Talent Cultivation
Authors: Wang Henghua , Li Xue
Published: February 2024

In the field of higher education in today’s era, cultivating vocal talents is crucial. This paper focuses on an innovative mechanism in vocal talent cultivation, i.e., enhancing vocal education by constructing a music recognition model based on Fourier algorithm. The Model is further applied to design a teaching aid system incorporating reinforcement learning to realize the synergistic development of digital media art and vocal talent cultivation. After rigorous testing, we found that the music recognition model has an accuracy rate of over 90% and is highly resistant to noise. In addition, by analyzing the practices of several colleges and universities’ music schools, it is observed that there are significant differences among different institutions in the four comparative items, with standard deviations exceeding 0.6. In particular, the average scores using this study’s teaching system for vocal talent cultivation are 4.312, 4.335, 4.267, and 4.354, respectively, generally higher than those of the other colleges. The mean values of these four different vocal music majors were all above 4 points. Therefore, the teaching system for vocal talent training proposed in this paper effectively improves the quality of vocal talent training and provides a new path for the practical reform and optimization of said education.
Correlation Analysis and Teaching Optimization of University English Lecture Mode Preferences
Authors: Wang Zhenzhen
Published: February 2024

The article first discusses the categorization and difficulty of learning resources and proposes a method to quantify the difficulty of teaching resources. Then, the article recommends appropriate learning resources through similarity matching and student knowledge level diagnosis. This includes analyzing students’ test answers and modeling students’ knowledge level based on this. Data analysis and model building were employed to propose four key indicators: knowledge point density, knowledge point depth, evaluation index and correctness rate. In addition, cosine distance was employed to measure the similarity between resources and Hidden Markov Models were used to predict students’ knowledge point mastery. Four key indicators were effectively applied to construct a vector of resource difficulty indicators in quantifying learning resource difficulty. A vector representation of students’ knowledge mastery was successfully built in diagnosing students’ knowledge level. In addition, the article discusses the construction of a personalized learner preference model and a personalized English teaching model based on collaborative filtering algorithms. The effect of college English teaching can be effectively improved through the detailed Analysis of learning resources and the application of personalized recommendation model.
The Innovative Integration of College Students’ Mental Health Education and Civic Education Paths in the Age of Artificial Intelligence
Authors: Dai Chenglong , Wang Jing
Published: February 2024

This article takes personalized education as the starting point, discusses the application in mental health education, and uses the plain Bayesian classification model to classify college students’ mental health in a refined way. The article proposes an evidential reasoning timeliness evaluation model for calculating the total assessment value of ideological and political education in colleges and universities and its actual effect to evaluate the ideological and political education quality. In addition, combining mental health education and ideological and political education, this study constructs an innovative collaborative parenting education model. The empirical analysis shows that the overall level of students’ mental health and Civic and Political learning quality in college L exceeds 2.5 points. By building a model of coupling and coordination degree of mental health and civic education, the study found that the integration benefit index of the two showed an upward trend in 10 years, growing to 0.97852. The coupling and coordination degrees in 2022 reached 0.996332 and 0.911752, respectively, which showed a reasonable level. Through the educational model proposed in this paper, the integration of mental health education and ideological education is more effective, which provides an effective educational method for colleges and universities to improve the overall quality of students.
Research on the Construction and Application Effect of Autonomous Learning Model in the Teaching of Tourism English Majors in Colleges and Universities
Authors: Cui Gaili
Published: February 2024

Autonomous learning is a hot issue in current research in learning. The article firstly constructs an autonomous learning model based on dynamic fuzzy logic (DFL) theory and describes the independent behavior rules in detail. Further, a learning algorithm for the independent learning subspace is proposed. To verify the effectiveness of the DFL-based autonomic learning model, the authors selected college students majoring in English for Tourism as experimental subjects, divided the students into experimental and control groups, and compared their test results before and after the autonomic learning teaching experiment. The study results show that in the six-month experiment, the experimental group significantly improved in three aspects: study time, independent learning ability, and learning achievement. Specifically, upper-middle and middle-level students excelled in independent learning ability. In contrast, students at the lower-middle level showed significant improvement in terms of study time and academic performance, and these differences reached the level of extreme significance (p<0.01). In addition, in terms of the level of learning autonomy, the experimental group has higher indicators of learning autonomy level than the control group in all six dimensions, especially in the dimension of learning environment, the difference between the experimental group and the control group is as high as 52.53%. The study proves the effectiveness of the autonomy learning model based on dynamic fuzzy logic in enhancing students’ autonomy learning ability, especially in promoting the learning development of students at different levels showing significant advantages.
The promotion of common wealth through tourism industry development: the mediating role of tourism professionals
Authors: Wang Xiaomin
Published: February 2024

In the context of shared wealth, the tourism industry, as an essential economic driver, the quality improvement of its human resources is crucial for promoting the development of the industry and realizing the balance of social wealth. In this study, a set of evaluation systems for tourism professionals is constructed based on the competency iceberg model, and the index weights are calculated using the hierarchical single sorting method. Further, the B.P. neural network evaluation method was improved by particle swarm optimization algorithm, and PSO-SVM neural network model was created to evaluate tourism professionals. Taking City A as a case study, the development of tourism industry and its deficiencies were deeply analyzed. The results show that about 36.40% of the residents believe that developing the tourism industry helps improve the living standard and promote shared prosperity. In comparison, 48.36% of the residents reflect the lack of local tourism professionals. In the comprehensive evaluation of tourism talents by individuals, residents and tourists, the mean scores of the indicators of responsibility, work motivation and complete psychological ability were high, respectively 4.49, 4.53 and 4.70.The study not only highlights the crucial role of tourism professionals in promoting the development of tourism industry, but also provides empirical evidence and solid suggestions for future talent cultivation and development strategies in tourism industry.
Exploring the teaching mode of college students’ psychological education under artificial intelligence technology guided by cognitive-behavioral theory
Authors: Wang Zhixian
Published: February 2024

Under the current background of increasingly fierce social competition, the psychological pressure of college student groups is increasing, and mental health problems are becoming more and more significant. Based on the cognitive model of mental health and the theory of cognitive-behavioral psychotherapy, this paper constructs a comprehensive mental health education mechanism covering school, family and society. A mental health abnormality detection device was developed in the study, which integrates a mental health detection model and an early warning mechanism, aiming to detect students’ mental health problems in time. Empirical Analysis shows that the recognition accuracy of the mental health abnormality detection model constructed in this study is as high as 0.8748. Regarding the assessment of teaching effectiveness, the pre- and posttest changes in the mental health scores of the control group and the experimental group are significant, with the test value of the difference between the control group being 1.242, while that of the experimental group is 6.480. The average posttest score of the experimental group is 6.15, which is a decrease of 11.75 compared to that of the control group. This result indicates that the mental health education model proposed in this paper can significantly enhance and effectively improve students’ mental health. This study provides an effective teaching method for college students’ mental health education, which can help guide the practice of mental health education in schools.
Art and Design Education and Students’ Creative Thinking Cultivation in Colleges and Universities in the Internet Era
Authors: Zou Dongfang
Published: February 2024

This paper analyzes the impact of MOOC-based flipped classroom model on students’ creative thinking in art and design education in colleges and universities. Computer-aided design courses and flipped classroom methods focus on the relationship between flipped classroom and students’ creative thinking. Using Bayesian quantile regression model for statistical analysis, the experiment was carried out in two parallel classes in a university in H city, using flipped classroom and traditional teaching mode respectively. The results showed that the experimental class improved significantly more than the control class in creative thinking skills, especially in projecting the future and evaluating power. The conclusion shows that the flipped classroom model effectively improves students’ creative thinking ability, especially in association and compatibility.
Research on the Coupling of College Academic Style Construction and Great Ideological Politics under the Guidance of the Concept of Three-Whole Parenting
Authors: Li Shanjiang , Tang Laihong
Published: February 2024

The construction of academic style is the central link in implementing the fundamental task of cultivating moral integrity in colleges and universities, and it is also a meaningful way and carrier for realizing the all-embracing, all-encompassing and all-encompassing cultivation of human beings. Based on the four-stage cycle theory of PDCA (Plan-Do-Check-Act), the article constructs a comprehensive evaluation system focusing on the construction of academic style and the evaluation system of the quality of the significant ideological and political cultivation with the goal of value shaping. In the study, the method of variance maximization is adopted to determine the weights of evaluation indexes, and a genetic algorithm is introduced to optimize these weights to solve the optimal linear programming problem of variance maximization. The study establishes a fuzzy comprehensive evaluation and coupled coordination model through this method. Taking University S as an example, the article conducted a comprehensive review of the quality of the academic style construction and the quality of the significant ideological and political education. It used the comprehensive development index to analyze the level of the coupled and coordinated development of the two. The results show that in the construction of academic style, the weight value of students’ learning behavior is 0.2565, while in the evaluation system of the quality of considerable ideological and political education, the weight value of teaching effect is 0.2564. These two fields’ coupling coordination levels increased 1.33 times from 2010 to 2019. This indicates that the higher the level of coupled and coordinated development of college academic style construction and more excellent ideological and political education, the more helpful it is for colleges and universities to realize the goal of cultivating moral character. The study in this paper provides a practical evaluation and optimization framework to promote the comprehensive improvement of the quality of college academic style construction and considerable ideological and political education, and then better achieve the educational goal of establishing morality and educating people.
Discussion on the use of fashion elements in ceramic design in the context of big data
Authors: Ye Jiabei
Published: February 2024

In the context of the significant data era, this study explores the application of fashion elements in ceramic design. By integrating modern aesthetics and traditional craftsmanship, it realizes the innovation of ceramic design and promotes the development of ceramic industry. A neural network-based assessment model, especially BP artificial neural network, is used to quantitatively analyze and apply fashion elements in ceramic design. First, the basic theory of neural network, including MP model and BP algorithm, is introduced. The study established a network model with a 5-30-5 structure by training 800 sets of color samples. The experimental results show that the network reaches the mean square error target (MSE=1e-7) after 1516 iterations, proving the model’s effectiveness in dealing with nonlinear color semantic mapping. The analysis of the prediction accuracy of the color scheme shows that the maximum errors are 2.22, 1.93, and 1.36 in the L, A, and B components, respectively. These results are lower than the national standard color difference range, indicating that the proposed model has practical application in ceramic design. The neural network model can effectively integrate fashion elements into ceramic design, providing a new perspective and technical support for traditional ceramic design.
Theoretical Advancement of Xi Jinping’s Socialist Thought with Chinese Characteristics in the New Era under the Construction of Knowledge Map
Authors: Wang Lili
Published: February 2024

This paper discusses the theory and practice of constructing knowledge graph under the guidance of Xi Jinping’s socialist thought with Chinese characteristics in the new era. The study first adopts the Transformer technique based on the BERT model for effectively extracting entity relationships. Then, the article proposes an entity alignment method based on Neural Tensor Network, which enhances the semantic and structural information utilization of entity embedding vectors through optimized NTN and joint knowledge representation learning. In addition, the study employs a knowledge graph link prediction method that combines semantics and paths to fill in missing relations, and applies probabilistic soft logic to solve the inference problem of non-deterministic knowledge. Ultimately, the effectiveness of the constructed knowledge graph is demonstrated through empirical analysis of Xi Jinping’s theoretical dataset of socialist thought with Chinese characteristics in the new era. The results show that the method is more effective in dealing with polysemous words and participle errors than traditional methods, improving the data structuring level. For example, the accuracy of entity alignment is significantly better than the baseline algorithm on different datasets, e.g., on the DBP-WE dataset, its Hits@1, Hits@10 and MRR values are higher than those of the baseline by 4.01-29.49, 1.99-31.05, and 0.036-0.289, respectively. The method of this paper is remarkably effective in improving the performance of the entity alignment task, which is helpful in understanding and applying the Xi Jinping’s thought of socialism with Chinese characteristics in the new era provides new theoretical perspectives and practical methods.
A study of paraphrase meta-language in linguistic domains in the age of artificial intelligence
Authors: Peng Tongtong
Published: February 2024

This study delves into paraphrase meta-language for linguistic domains in the age of artificial intelligence. The study includes text preprocessing, text representation based on vector space modeling, statistical disambiguation, feature selection, and LDA topic modeling application. The research results show that these methods can effectively extract and understand paraphrased meta-language. The thematic distribution and dynamic changes of paraphrased meta-language are revealed by LDA modeling analysis in 4623552 Twitter data and 532565 linguistic documents. In addition, this study empirically analyzes paraphrase meta-language based on lexical understanding and finds that the average correctness of the annotators meets the expected range in all types of polysemous words. In the era of artificial intelligence, the study of paraphrase meta-language can bring new insights to linguistics, especially showing its value in understanding and processing large-scale linguistic data.
Innovative Reform Path of Curriculum Civics Integrated Teaching Mode under the Background of Technological Empowerment with Multi-cluster Structural Modeling
Authors: Shi Quanyu
Published: February 2024

This study explores the innovative reform path of the comprehensive teaching model of course civics in the context of technological empowerment with multi-cluster structural model. Fang this paper takes S city colleges and universities as an example, based on the theory of planned behavior, it establishes the evaluation index system of influencing factors. Using DEMATEL method to process the scoring data of 15 experts, the influence matrix between the factors was shown, and the fundamental values such as influence degree and influenced degree were calculated. These key factors were then validated using factor analysis and multi-cluster structural modeling. The study results show that the improvement of teaching methods significantly impacts the teaching effect, in which the centrality of “global awareness” is the highest at 10.188. To improve the teaching effect, colleges and universities need to prioritize improving teaching methods, especially the strengthening of the cultivation of global awareness, and combine with the means of scientific and technological empowerment, to carry out the innovation of curriculum Civic and Political Education.
A Multiple Teaching Model for Chinese Culture Integration in English Translation Courses with Multiple Data Chain Networks
Authors: Wang Xin
Published: February 2024

This study investigates how to integrate Chinese culture into English translation courses in a multidata chain network environment to develop a multifaceted teaching model, enhance students’ cross-cultural communication skills and cultural understanding, and improve the effectiveness of English teaching. Neural networks and regression models were used to extract and analyze the artistic elements, and the design and implementation of an English teaching model based on cultural integration were studied. The results show that through the “five lines of integration” teaching mode, the effective combination of culture, knowledge and literacy is realized. The comparative analysis before and after the teaching shows that the mean value of the students’ English scores is increased from 85.204 to 94.568, which indicates that the teaching mode effectively improves the students’ English proficiency. In addition, correlation and regression analyses further confirmed that cultural support, teacher support, course quality, academic performance, and student satisfaction significantly positively affected teaching effectiveness. This study proves the effectiveness of integrating Chinese culture into English language teaching and provides new perspectives and methods to improve the quality of English language teaching.
Research on Intangible Cultural Heritage Outreach Translation Based on Natural Language Processing Technology
Authors: Dong Nan
Published: February 2024

In this paper, a CNN-Bi-LSTM-CRF model is formed by using convolutional neural network combined with Bi-LSTMCRF, and at the same time, with the help of the attention mechanism, which is used to carry out attribute extraction research on the attribute-valued texts in the intangible cultural heritage annotated intangible cultural heritage attribute corpus as well as the validation of the automatic text detection system for the error text, and the results show that the CNN-Bi-LSTM-CRF model performs optimally in the attribute extraction of “heritage type”, with a score of 97.382. The results show that the CNN-Bi-LSTM-CRF model has the best performance, with a score of 97.382 in the attribute extraction of “heritage type”, and the average detection error rate of the traditional system is (17.5%,14.20%) in the comparison of the detection error rate of handwritten and printed text, respectively, the average detection error rate of Bi-LSTM-CRF is (7.19%, 6.15%). The average detection error rate is (7.19%, 6.15%). CNN-Bi-LSTM-CRF samples and categorizes the translations of the three NRLs, and finds that there is a considerable proportion of mistranslations in the linguistic dimension (30.2%), cultural dimension (8.05%) and communicative dimension (10.07%). Finally, it explores tourists’ satisfaction with the destination through outreach factors. Most foreign tourists’ affective polarity scores for the Great Wall range from 0.1 to 0.3, with primarily positive emotions.
An Innovative Demonstration of Functional Linguistic Ideas for Teaching English in Colleges and Universities Based on Multi-objective Optimization Models
Authors: Tian Lili
Published: February 2024

Aiming at the current characteristics of English teaching in colleges and universities which are too theoretical, this paper combines the ideas of functional linguistics to innovate the teaching method, focusing on constructing a personalized English teaching resources recommendation system to assist English teaching. Among them, in the teaching resources recommendation module, the collaborative filtering algorithm is improved by calculating the learner trust degree and similarity degree, then describing the learner features and learning resources features respectively, constructing the multi-objective optimization function, and solving the optimal value by using the hybrid differential evolutionary algorithm. The constructed English teaching resources recommendation system is applied to actual teaching. For the answer situation of knowledge difficulty category 5, the highest level students can still maintain the average correct rate of 55.21%. In the comparison experiment of innovation effect demonstration, the experimental group and the control group reached statistical significance in fluency index (P=0.038<0.05) and logic index (P=0.001<0.05). This study can promote the practicability of English teaching and increase the effect of cultivating applied talents.
Exploration of the Influence of Traditional Art Colors on the Visual Communication Effect of Modern Graphic Design Based on VR Models
Authors: Xu Hai
Published: February 2024

This paper discusses how virtual reality (VR) technology effectively integrates traditional art colors in modern graphic design and its impact on the visual communication effect. Through structural equation modeling (SEM) and K-mean clustering algorithm, the application of traditional art colors in modern graphic design and its influence on visual communication are studied and analyzed. The results show that applying standard colors has a significant impact in contemporary graphic design, especially in emotional resonance, cultural symbols, guiding attention and brand identity. The application of conventional colors has a high visual communication effect with modern graphic design, and there is a significant positive correlation between the dimensions. Finally, through K-mean clustering analysis, the optical communication effect of graphic design is divided into four types, in which emotional resonance and cultural symbols occupy an essential position in the visual communication effect. The research results provide a theoretical basis for applying traditional delicate art colors in modern graphic design and a practical reference for designers in the actual design process.