bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multidimensional Data Analysis and Optimization of Regulatory Decision Making for Financial Activities in Hainan Free Trade Port in the Era of Artificial Intelligence
Authors: Xue Ni 
Published: November 2024

Abstract
Hainan has deepened its policy advantages from special zones, special economic zones, and international tourist islands to free trade zones and then to free trade ports in 2020, laying a favorable foundation for financial activities. This paper explores the financial agglomeration effect of Hainan within the superimposed advantages of a free trade zone and free trade port, utilizing multi-dimensional data such as industrial concentration, Herfindahl index, and spatial Gini coefficient to gauge the extent of financial activity agglomeration in the region. And the Moran’I index is used to verify the existence of the spatial effect of financial activities in Hainan FTTP. Finally, we use empirical analysis to assess the economic growth effects of the financial liberalization policy of the Hainan FTP. The research results show that Hainan FTTP’s financial opening policy has a big positive impact on the region’s economic growth. The closest neighbor index for the whole area of Hainan FTTP is 0.162351, which means that the financial activities in Hainan FTTP are spread out in a way that makes them more concentrated in space. Most cities and counties exhibit a clear financial industry agglomeration, primarily concentrated in government sites. However, the scale of financial industry agglomeration between different cities and counties is uneven. Based on the results, we can summarize the financial activities in Hainan using the superposition advantage of the port area and propose regulatory policy recommendations.
Research on the Teaching Reform of Guizhou’s Environmental Design Major in the Context of Minority Cultures
Authors: Zeng Yu 
Published: November 2024

Abstract
Environmental design majors should actively innovate the teaching mode to adapt to the changes in technological development and social demand. Starting from the three principles of environmental design teaching reform and combining with the cultural background of Guizhou ethnic minorities, this paper puts forward a teaching reform plan for environmental design majors to optimize and innovate the teaching modes of the three core courses of drawing, color and composition. Then, three primary indicators and 15 secondary indicators are selected to construct the evaluation index system for teaching reform in environmental design specialization. Using the hierarchical analysis method and the entropy weight method, we constructed the judgment matrix and calculated the relative and global weights of the indicators. After the model construction is completed, the effect of reforming environmental design teaching at a university in Guizhou will be evaluated. After the teaching reform, the comprehensive score of the teaching evaluation of the environmental design program was 89.88 points, which is an excellent level. Among them, student quality, teacher ability, and teaching environment are 74.5544, 11.5804, and 3.7466 points, respectively. By analyzing the pre- and post-test data of the seven dimensions of students’ artistic creativity reflected by their works and the overall data using the two paired samples t-test, it was concluded that there were significant differences between the pre- and post-tests of the seven dimensions of students’ appropriateness, novelty, technicality, aesthetics, imaginative, ideological, and comprehensive impression. The level of students’ artistic creativity in environmental design reflected through their works has significantly improved, which proves that the teaching reform is effective. This paper provides new ideas and methods for the innovation of education and teaching environmental design majors.
Research on the Quality Improvement of Party School Education and Training in Newly-Built Applied Undergraduate Colleges and Universities Facing Intelligent Educational Technology
Authors: Chen Bo 
Published: November 2024

Abstract
With the continuous progress of intelligent education technology, the education and training of party schools in new applied undergraduate colleges and universities are facing the urgent need to improve the quality. In this study, we use Jieba Partition Technology to perform particual processing on training materials and use the TF-IDF algorithm to extract features from the particual results. A training management platform for party schools in colleges and universities that integrates intelligent education technology is built using the improved collaborative filtering recommendation model. Taking a university as an example, the performance test of this paper’s training platform is conducted, and finally, through regression analysis, the effect of improving the quality of party school education and training is assessed. The recommendation model in this paper performs better when the number of recommendations is 200, yielding precision and recall values of 0.55 and 0.51, respectively. The average degree of compliance of the party school trainees with the five indicators of effectiveness assessment is high, and the average score of “Satisfactory training results” is 4.035. The factors of the intelligent education platform, such as training content, training methods, instructor level and training materials, all have highly significant effects on the improvement of training quality at the level of p<0.001. All of them have a highly significant positive contribution to the improvement of training quality.
Practical Research on Talent Cultivation Mode of First-class Professionals in Environmental Design under the Background of Artificial Intelligence
Authors: Chen Huijie , Wu Pengjun , Wei Xuefei 
Published: November 2024

Abstract
Starting from the basic principles of talent cultivation mode, this paper proposes a reform strategy to optimize the talent cultivation mode of environmental design with the help of intelligent technology in order to improve the quality of talent cultivation and achieve the “first-class” level for the current talent cultivation mode of environmental design majors. The necessity of an intelligent database in environmental design teaching is analyzed, and the improved TF-IDF algorithm and automatic classification algorithm of resources are proposed to improve the search for teaching resources for environmental design majors. Then, based on the query, the teaching resource recommendation model (UBM) is proposed. An algorithmic comparison between the improved TF-IDF method and the UBM model is carried out to verify the effectiveness of the improved algorithmic model. Combining the traditional talent training model results with the intelligent technology-assisted talent training model results for independent samples of the T-value test. T-value test results show that the F-value is 0.317, the Sig-value is 0.782>0.05, and the significance corresponding to the ANOVA t-test value is 0.009<0.05. It indicates that there is a significant difference in the final examination results for environmental design in the classes of the experimental and control groups. It means that after one semester of intelligent technology-assisted teaching practice, the professional performance of environmental design students improves, which contributes to the cultivation of first-class professional talents. The use of an intelligent database can be one of the effective ways of cultivating talent.
Analysis of Chinese-English Differences in “Degree Adverb + Noun” Constructions in the Perspective of Constructive Grammar Based on Pattern Recognition Technique
Authors: Chen Lvfang 
Published: November 2024

Abstract
The “degree adverb + noun” constructions in modern languages are widely used in people’s oral communication with novel forms, rich connotations, economy, humor, and fun. We select representative literary works from English and Chinese in the 20th century as the research corpus, and use regular expressions to count the results of the corpus search for English-Chinese “degree adverb + noun”. The distance-based pattern recognition algorithm figures out how close the feature vectors are to each other and finds constructions that match the pattern “degree adverb + noun” by combining the principle of proximity selection. We analyze the processed “degree adverb + noun” constructions for differences between English and Chinese, based on the retrieval and recognition results. At the same time, the cognitive state and teaching strategies of second language learners of “degree adverb + noun” are further investigated based on the analysis results. The distance-based pattern recognition algorithm in this paper can recognize “degree adverb + noun” constructions with an accuracy of more than 90%, which is about 3.5 times higher than that of the pattern recognition method based on the TFIDF algorithm. Through the analysis, this paper finds that there are differences between English and Chinese languages in terms of noun collocation, semantic basis and realization process, syntactic components, and pragmatic functions of “degree adverb + noun” constructions.
Research on the Integration Strategy of Artistic Elements and Technology in the Design of Intelligent Elderly Environments
Authors: Cheng Yin 
Published: November 2024

Abstract
In the face of the increasingly large aging group and the severe aging situation, attaching importance to the intelligent transformation of the aging environment and the integration of intelligent technology can make the existing traditional aging mode and other profound changes. This paper utilizes Maslow’s pyramid of needs hierarchy theory as a support, analyzes the elements of the elderly’s needs, and combines these elements to design an intelligent senior living environment. Then, the intelligent voice control and sensing systems are integrated with the lighting control system to realize lighting changes according to the needs of the elderly and create an artistic and intelligent senior living environment. The questionnaire was utilized to measure the satisfaction of the elderly with the intelligent aging environment. The results of the questionnaire data processing show that the elderly show high satisfaction with the intelligent aging environment at the instinctive, behavioral, and reflective levels. In addition, there is a significant difference in the satisfaction of the elderly of different ages with the intelligent aging environment at the instinctive level (P=0.003<0.05), and the younger elderly are more satisfied with the intelligent aging environment that integrates artistic elements and scientific and technological design. This paper designs intelligent senior living environments integrating science and technology, art and needs, which provide effective methods and research perspectives for senior living practice, and has certain social significance for design innovation to promote the formation of a friendly aging society.
Endangerment Evaluation and Inheritance Protection Path of Hainan Marine Intangible Cultural Heritage Based on Modern Information Technology
Authors: Deng Qiongfei 
Published: November 2024

Abstract
Hainan’s marine intangible cultural heritage, with its unique value, occupies an important position in global cultural diversity, but it is currently facing an endangered situation. This paper utilizes the Delphi method to select the initial indicators for the evaluation of the endangerment of Hainan’s marine intangible cultural heritage, then applies the hierarchical analysis method to determine the weights of the indicators at each level and evaluates the endangerment of Hainan’s marine intangible cultural heritage based on the fuzzy comprehensive evaluation method. Then, according to the current situation and evaluation results of Hainan marine intangible cultural heritage, the digital inheritance and protection path of Hainan marine intangible cultural heritage is designed by using modern technology as a means. Among the specific indicators of the endangerment evaluation index system of Hainan marine intangible cultural heritage, the economic benefit has the largest weight, which is as high as 0.104. It shows that the economic benefit of preserving and preserving Hainan marine intangible cultural heritage needs to be improved. In the endangerment evaluation of Hainan’s marine intangible cultural heritage, for example, the overall evaluation value is 3.525, and its endangerment status is between generally endangered and relatively endangered. Among them, the evaluation values of social and cultural factors are higher, favoring comparatively endangered, indicating that more consideration should be given to the inheritance and protection of A Hainan marine intangible cultural heritage from both social and cultural aspects.
Research on the Development Status and Countermeasures of New Cooperative Economic Organizations in Rural Areas in the Information Age
Authors: Geng Fangmei , Sun Yanyan 
Published: November 2024

Abstract
The article borrows game theory to analyze the development dilemma of new rural cooperative economic organizations. A rural cooperative economic organization that is based on game theory is proposed by describing the new rural cooperative economic organization and game theory. According to the subject of interest, the basic assumptions of the model are determined, and the game theory model for rural cooperative economic organizations is constructed by combining the basic assumptions and relevant variables, and the evolutionary stabilization strategy solution process is given at the same time. The development status of new rural cooperative economic organizations in the context of information technology is evaluated using the model mentioned above. When E
2 = 0.18, the probability of both parties choosing {cooperation, cooperative} strategy will increase to 82.3%. And E
2 = 0.82 will reduce the probability of forming complete cooperation to 71.5% through the introduction of cost and benefit distribution, supervision and punishment mechanisms to achieve a win-win situation for the community of interest, but there is still the probability of the two sides cooperating to choose the optimal strategy will become smaller, revealing that the current development of the rural cooperative economic organization has problems and shortcomings. In order to improve the development of cooperative economic organizations in rural areas, relevant strategies are proposed.
An empirical study on the data integration model in the comprehensive development of ideological education and student management in colleges and universities based on the concept of three-pronged parenting
Authors: Guo Lingfei 
Published: November 2024

Abstract
In this paper, a smart campus analysis model based on multi-source data fusion technology is constructed with the study of college students’ behavior as the starting point. The K-means algorithm is utilized to mine the campus data of real college students from multiple sources, and through the fusion of multi-source data, a real, intelligent, multi-level student portrait is portrayed in the three dimensions of consumption, academics, and socialization, so as to provide a rational decision-making basis for the comprehensive development of the ideological and political education and student management of the university with the “three-whole-education” approach. The results show that multi-source data fusion technology can significantly reduce the storage space required for data. University X has a low borrowing interest for Civics and Political Science books. Sports are loved by 70% of students, but half of them don’t exercise regularly. Outside spending is a habit among some students, and 20% of them may exhibit abnormal behavior. These individual behavioral characteristics will have a significant impact on the performance of Civics.
Application of Big Data Visualization Technology in Quality Assessment of English Translation of Ancient Books
Authors: He Yanan 
Published: November 2024

Abstract
The development and application of machine translation cannot be separated from the evaluation of its quality. Correct evaluation is a correct lead to its development direction, and the translation direction respected by mainstream evaluation can be said to be the development direction of machine translation in research. In this paper, the Transformer model of the multi-head attention mechanism is constructed, and the optimization and improvement schemes in both model architecture and training data are proposed for the mBERT and XLM models to form the XLM-R model. Based on the predictor-evaluator QE model and the pre-trained model-evaluator QE two models, the XLM-R translation quality assessment baseline is proposed. A CLS pooling method is proposed for the baseline system, which ensures similarity at a finer-grained subword level. Meanwhile, the subword similarity scoring index is embodied using a simple splicing method, taking into account the global semantic quality. Simulation experiments are set up to evaluate the quality of translation tasks at the sentence and system levels, respectively. There was a 7.92% improvement in the Pearson correlation coefficient of the model with similarity characterization when compared to the one without the model in the sentence-level QE task development set, which was 0.0379 higher. The model’s translation fluency also showed an increasing trend in the interval of 0.15 to 0.5 with the growth of the manual score, indicating that the model proposed in this paper is effective in baseline system evaluation.
Using Natural Language Processing Techniques to Study the Development Dynamics of the Subei Mongolian Language and Its Shaping of the Chinese National Community Consciousness
Authors: Bao Dongmei 
Published: November 2024

Abstract
Language and society are a pair of covariance; language reflects the changes in society, and the changes in society have an important impact on the language. The urbanization process in the Subei area is reflected in the current Mongolian language use situation. This paper explores the intrinsic connection between language and the Chinese national community, in which the emotional identity of Mongolian script is one of the factors affecting the development of Mongolian language in Subei. Mongolian emotions are represented semantically using the SOFT self-attention mechanism. The computation of emotion word weights and distributions is carried out sequentially to enhance the emotion word tokens that semantic rules represent. Through the mining of emotion prior knowledge, new emotion words are found from the Mongolian emotion corpus with the help of emotion seed words, and a set of candidate emotion words is constructed. The emotion words that were mined in Mongolia are merged into emotion sentences, and then they are emotionally masked. An empirical survey is designed to visit and examine the local Mongolian residents in Subei using random sampling. The psychological distance of Mongolians towards intermarriage is the lowest among the subject ethnic groups, with a mean value of 1.7585. The development of the Mongolian language in Subei is a map of the progress of the Chinese nation’s consciousness and contributes to the formation of a sense of community among its people.
Research on the Protection and Inheritance Strategy of Folk Dance Art in the Digital Era
Authors: Li Da 
Published: November 2024

Abstract
The digital protection and development of folk dance art play a crucial role in bridging the gap between science and the humanities, enabling the integration of science, technology, and the humanities. The article initially employs an optical motion capture system to gather data on the movements of folk dance art. Subsequently, it merges this data to create a digital archive of folk dance art and explores the specific applications of this digital archive. To eliminate abnormal data from the motion capture process, this paper introduces the Kalman filtering algorithm, which preprocesses the folk dance action data. The PAFs algorithm then extracts the key points of the human skeleton from the folk dance action. Then, the coordinates of folk dance action features are changed by Euler angles to extract the corresponding action features and combined with the feature vectors of the action sequence to realize the gesture matching of folk dance actions. The KANO model and regression analysis exploration are the primary means of data analysis for the development of folk dance art inheritance. Using the PAF algorithm to extract the human skeleton key points of folk dance art, the average precision rate is 82.52%, the convenience of the audience’s demand for the digital experience of folk dance art has the highest better value of 0.712, and the regression coefficient of closeness to life is the largest at 0.283. Folk culture should inform the digital preservation and inheritance of folk dance art, expanding its dissemination and fostering its digital development.
The Integration of Virtual Reality Technology in Chinese Language and Literature Classroom Teaching and Its Teaching Effects
Authors: Li Xue 
Published: November 2024

Abstract
Virtual reality technology has the potential to be applied to enhance the presentation effect and student participation in the Chinese language and literature classroom. After analyzing the applications of this technology in the teaching of Chinese language and literature, a virtual scenario teaching program is created in this paper. A virtual reality-based scenario teaching system is constructed by the program and integrated with traditional teaching methods. A teaching case combining VR technology was designed with “Tianjingsha-Autumn Thoughts” as an example, and a teaching experiment study was conducted based on the case. The results show that the outstanding rate of poetry achievement in the experimental class increased by 50%, the average score increased by 9.41 points, and the scores of the survey results in the four dimensions of learning interest, learning participation, system satisfaction, and knowledge mastery were all around 3.5 points. Virtual reality technology in the teaching program has a positive effect on students’ better mastery of traditional poetry and enhanced learning interest.