Digital Technologies, Sustainable Lifestyle, and Tourism: How Digital Nomads Navigate Global Mobility?

Sustainable Technology and Entrepreneurship, Journal Year: 2025, Volume and Issue: unknown, P. 100096 - 100096

Published: Jan. 1, 2025

Language: Английский

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TR-GPT-CF: A Topic Refinement Method Using GPT and Coherence Filtering

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1962 - 1962

Published: Feb. 13, 2025

Traditional topic models are effective at uncovering patterns within large text corpora but often struggle with capturing the contextual nuances necessary for meaningful interpretation. As a result, these may produce incoherent topics, making it challenging to achieve consistency and clarity in interpretation—limitations that hinder their utility real-world applications requiring reliable insights. To overcome challenges, we introduce novel post-extracted refinement approach uses Z-score centroid-based misaligned word detection hybrid semantic–contextual replacement WordNet GPT replace words topics. Evaluations across multiple datasets reveal our significantly enhances coherence, providing robust solution more interpretable semantically coherent

Language: Английский

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Application of Artificial Intelligence-based Visual Arts Pedagogy in Traditional Painting Education

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Traditional art has a deep cultural heritage and rich connotation, combining artificial intelligence technology with traditional aesthetics as way to realize the innovation of painting education mode. In this paper, starting from performance painting’s aesthetic value, personalized intelligent teaching mode is constructed based on visual method combined intelligence. The CCME-GAN model introduced for construction learning generation model, BERT-LDA established by BERT LDA evaluation works. Xinjiang folk artworks were selected research data source carry out validation work assessment, comparison experiments designed analyze effect subjective score paintings generated was 9.11, among nine clustering results eigenvalues theme Cluster 1 range between [0,5.5]. At end experiment, students’ creativity scores increased 2.74±0.37 before experiment 4.63±0.26. Relying can enhance methods improve levels.

Language: Английский

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The Value Following and Optimization Path of Teacher Evaluation Reform in Colleges and Universities in the New Era

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Based on the current practice progress and realistic dilemma of teacher evaluation reform in colleges universities, universities new era should adhere to main principles moral education, systematic pluralistic, scientific effective, talent cultivation. We built a quality index system this study follow rules for how teachers are evaluated universities. used fuzzy hierarchical analysis comprehensive look at multivariate structured data. It also combines natural language processing technology achieve evaluations college teachers. The results demonstrate that construction model enables diversified assessment teachers’ teaching ability, thereby assisting achieving more objective accurate evaluation. innovative path be based establishing character, implementing mission as starting point, taking sound framework focus rational use key promoting growth development ending point.

Language: Английский

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Historical Narrative and Cultural Memory Construction in Film and Television Art

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Historical and cultural films TV movies focus on recording presenting historical events, characters, traditions other contents through audiovisual means, explore the connotations values behind them in depth. The study takes film television movie “30,000 Leagues Chang’an” with background of Tang culture as case object, analyzes audience’s viewing commenting data television, method constructing memories by stories characteristics art. established BERT-CCPoem-TextCNN text extraction model. On this basis, online comments are mined from platform. Preprocessing is carried out R language, keywords screened, theme symbols such poems, dresses, etiquette so obtained after generalization. Then, LDA model used to analyze direction emotions towards television. According results theme, word speculation shows that what looks good attracts audience lies history characters televisions. speculative value falls between 0.035 0.034. Finally, quantitative statistics performed time changes events programs. show interval characters’ participation conforms power law characteristic, correlation importance character nodes frequency stronger. This can serve a reference for future work themes

Language: Английский

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Research on teaching evolution model of piano accompaniment in colleges and universities in information age

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract Piano accompaniment in music teaching is not only a music-performing art but also has its unique value as tool. The research adopts the LDA model for theme modeling, combines theoretical foundation of model, uses Python practice, constructs discovery and evolution analysis based on designs process piano to carry out theme. In this paper, post-discrete method used identify hot themes research. By analyzing trend different time slices, it found that overall shows more obvious dynamics, which “improvisation accompaniment” been maintained at higher probability, average intensity text rate change between 70% 90%. Finally, texts were divided into four periods, with evolutionary relationships identified by calculating JS distance setting threshold. Then, changes keywords periods analyzed explore teaching.

Language: Английский

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