bluuebunny/crossref_metadata_2025_split huggingface dataset:
Visualization research of modern ceramic production art based on 3D modeling technology
Authors: Ye Yangqiu 
Published: February 2024

Abstract
This paper is based on the research of visual shell related technology of 3D modeling method to extract the corresponding points of the graphical shell, through matching, filtering and denoising operations, to obtain the accurate 3D visualization model and provide new creative ideas and paths for contemporary ceramic art. In the actual ceramic membrane visualization feature extraction, six feature quantities of ceramic membrane, namely, area, aspect ratio, area perimeter, circularity, diagonal length, and angular second-order moments, can be obtained. The application of the visualization technique proposed in this paper to teaching ceramic production art was assessed by the performance of the knowledge answer questions. Regarding the average score, the experimental group (75.5) performed significantly better than the control group (63.6). Significant differences were found between the experimental and control groups in mental rotation (P=0.03<0.05), spatial visualization (P=0.006<0.05), and spatial reasoning skills (F=6.98, P=0.014<0.05). However, the two groups had no significant difference in spatial orientation (P=0.13>0.05). This suggests that the immersive learning environment of visualization technology can significantly enhance learners’ spatial reasoning skills, mental rotation, and spatial orientation.
Research on the Reform of English Precision Teaching in Colleges and Universities Facilitated by Artificial Intelligence Technology
Authors: Wang Lirong , Yu Junli 
Published: February 2024

Abstract
The article analyzes the precise teaching reform by applying artificial intelligence technology in English teaching in colleges and universities to improve teaching efficiency and student learning effect. The study establishes an English teaching model based on learner profiling, using artificial intelligence technology for student data analysis to achieve personalized customization of teaching content. Through empirical analysis, this study found that the experimental class adopting this teaching model significantly improved classroom interaction, learner class profile, and English performance. The average score of English assessment of students in the practical class increased from 55.5465 to 78.7267, and the passing rate also increased significantly. In addition, the teaching mode can effectively reduce the degree of dispersion of students’ performance and reduce the performance differences among students. The application of artificial intelligence technology in English teaching in colleges and universities can effectively promote students’ learning interest and performance improvement, providing a new direction for reforming English teaching in colleges and universities.
Analysis of Factors Influencing the Construction of Modern Apprenticeship Management System of Higher Vocational Colleges and Universities on Students’ Motivation in the Context of Information Technology
Authors: Wang Qi 
Published: February 2024

Abstract
With the increasing demand for high-quality skilled talents, building a teaching management system suitable for the characteristics of modern apprenticeship is the key to ensuring the smooth implementation of practical teaching. After the contemporary apprenticeship quality management system, this article takes vocational college students under the current apprenticeship management system in S city as the research object, uses principal component analysis and multiple choice linear regression methods to evaluate student initiative and explore the relevant influencing factors, Assess the impact and degree of influence of various factors on the agency of vocational college students. The results show that motivation investment (0.2421) and emotional investment (0.2335) are closely related to the evaluation results of student agency. The agency of the selected students is at a lower than average level, with an evaluation score of 2.9096. The impact value of the modern apprenticeship management system on student agency is 3.561, above average. Among them, The impact of factor process (3.838) is the greatest
Construction and Implementation of Innovation and Entrepreneurship Education System in Higher Vocational Colleges in the New Era Based on VAR Modeling
Authors: Xu Changjiang 
Published: February 2024

Abstract
This study is dedicated to exploring the construction and implementation of innovation and entrepreneurship education system in higher vocational colleges. By analyzing the relationship between education investment and industrial employment, it further enhances the innovation and entrepreneurship ability of students in higher vocational colleges. It promotes the synergistic development of education and economy. First, the relationship between higher education investment and industrial employment is analyzed by VAR model, which reveals the influence of education on the structural adjustment of industrial jobs. Second, the evaluation indexes and quality clustering of innovation and entrepreneurship education are refined through fuzzy cluster analysis and K-means clustering method based on seagull optimization algorithm. The research results show that the improved innovation and entrepreneurship education system can significantly improve students’ innovation and entrepreneurship satisfaction and self-evaluation, in which the indicators of entrepreneurial spirit and psychological quality are considerably enhanced. In addition, students’ innovation and entrepreneurship ability showed significant differences in multiple dimensions. This study confirms the effectiveness of the construction of innovation and entrepreneurship education system in higher vocational colleges, which is substantial in improving students’ innovation and entrepreneurship ability.
Study on the Construction of Evaluation Indicator System and Level Measurement of Rural Governance Modernization in the Information Age
Authors: Cao Yuanping 
Published: February 2024

Abstract
In the context of the information age, accelerating the modernization of rural governance has become the focus of social attention. This paper adopts the coupled coordination degree model. It applies the coefficient of variation method to standardize the evaluation index data, thus establishing a spatial measurement model for in-depth analysis of rural governance. This paper constructs a modernization evaluation index model, including five main evaluation indexes, including industrial modernization, ecological excellence, cultural modernization, effective governance, and affluent life, to form a comprehensive rural governance modernization evaluation system. Hunan Province in China is the case study, and this study explores its rural governance modernization level in detail. The results show that the development level of rural governance modernization in Hunan Province is higher than the average value of the composite index of the six central provinces, which is 0.4701. In developing rural governance modernization indicators, the indicators generally show an upward trend, with an increase of 8.7%, 5.66%, 16.43%, 4.79%, and 13.84%, respectively. However, the indicators of effective governance and cultural modernization have become the main obstacles to the modernization of rural governance in Hunan Province, with the combined obstacle degree of these two indicators reaching 67.92%. This study not only provides a practical evaluation tool and method for rural governance modernization, but also provides specific data support and policy recommendations for developing rural governance modernization in Hunan Province, which helps to promote the process of modernizing regional rural governance.
Balance of authenticity and artistry in TV drama scene design in the context of digital media
Authors: Chi Linyu 
Published: February 2024

Abstract
With the development of digital media technology, TV drama scene design increasingly emphasizes authenticity and artistry, and explores how to enhance the visual effect and emotional expression of TV dramas through 3D modeling and advanced image processing techniques. ASIS network is utilized for 3D modeling and semantic segmentation of scenes to improve scene design’s realism and artistic expression through meticulous model construction and precise image processing techniques. The study employs the regional iterative nearest-point alignment and light intensity polarization correction methods for 3D reconstruction and virtual scene rendering of live TV drama scenes to achieve highly realistic visual effects. The results show that the integrity error of this research method in scene reconstruction is 0.325, the accuracy error is 0.294, and the reconstruction wholeness is 0.289, which is an obvious advantage compared with the traditional methods. In addition, this paper also explores the semantic segmentation and reconstruction parallax value of scene design to verify the method’s effectiveness. The scene design of TV drama combined with modern digital technology can effectively balance authenticity and artistry, and provide a richer and more realistic visual experience for TV drama.
Research on the Construction of College Students’ Employment and Entrepreneurship Guidance Course System under the Background of “Internet+”
Authors: Fang Min , Wang Wenchao 
Published: February 2024

Abstract
With the arrival of the “Internet Plus” era, college students are facing new challenges of Employment and entrepreneurship. This study aims to explore an effective guidance course system for Employment and entrepreneurship to meet the current social development needs and enhance students’ entrepreneurial ability and employment competitiveness. Through data mining decision tree algorithm, college students’ employment and entrepreneurship situation and their influencing factors were analyzed to establish an effective guidance course system. It was found that factors such as gender, specialty category, and entrepreneurial experience significantly affect students’ entrepreneurial intention. The results of the decision tree analysis show that factors such as family self-employment situation, entrepreneurial attitude, subjective norms, perceived behavioral control, entrepreneurial self-efficacy and entrepreneurship are closely related to the entrepreneurial intention of college students. Based on this, strategies such as building innovation and entrepreneurship simulation and rehearsal carriers, broadening practical teaching bases, and constructing supportive entrepreneurial entity projects are proposed to promote the enhancement of college students’ entrepreneurial ability and the adaptability of the job market.
Research on the Construction of English Intelligent Teaching Mode in Colleges and Universities Facilitated by Artificial Intelligence Technology
Authors: Huang Xiaoyan 
Published: February 2024

Abstract
With the rapid development of artificial intelligence technology, its application in education has become increasingly widespread, especially in English teaching in colleges and universities. Using artificial intelligence technology to build an intelligent teaching mode can effectively improve the quality of teaching and students’ learning efficiency. The study adopts Bayesian algorithm and Bayesian-based learning tracking model (BKT and BF-BKT) as the main methods to optimize the teaching mode by analyzing learners’ mastery of knowledge points and behavioral performance. The results show that the maximum response time of the model is only 1038.59 milliseconds when the number of users is 120, proving the model’s efficiency in handling large-scale data. In addition, the intelligent teaching model positively impacted both teacher-student interaction and student learning ability. The teacher speech ratio decreased from 80.26% to 62.53%, and the students’ autonomy and participation increased significantly; the mean value of students’ learning ability in independent learning and critical thinking exceeded 4.00. The application of AI technology in teaching English in colleges and universities can significantly improve the quality of teaching and students’ learning effect.
Artificial Intelligence Empowers Emotional Expression and Aesthetic Imagery in Modern Chinese Literature
Authors: Jiang Kaibo 
Published: February 2024

Abstract
This paper explores how artificial Intelligence enhances emotional expression and aesthetic imagery in modern Chinese literature. The study focuses on the latent semantic analysis of literary texts, text mining challenges, techniques and algorithms for latent semantic analysis, and the application of artificial Intelligence in literary criticism. Through text representation, analysis of text mining challenges, latent semantic analysis (LSA), and the application of specific algorithms, this study provides an in-depth understanding of the intrinsic semantics of literary texts. The study employs text representation methods, such as the TF-IDF formulation, to deal with high-dimensional sparse text data. The main challenges include high dimensionality and discovering potential semantic relationships between words. Latent semantic analysis (LSA) realizes data dimensionality reduction through SVD singular value decomposition technique to extract the implicit relationships between words in text. The results show that LSA effectively pulls the potential semantic structure of the text, reduces the “noise”, simplifies the text vectors, and realizes the dimensionality reduction. In addition, the text clustering analysis using Kohonen self-organized feature mapping network reveals the semantic relationship and sentiment distribution among literary works. Intelligent technology can effectively enhance literary works’ emotional depth and aesthetic value and provide a new interpretation perspective for modern literature.
Research on the Cultivation of Core Literacy of Physical Education Professionals in Colleges and Universities Based on the Background of Data Mining
Authors: Li Xiang 
Published: February 2024

Abstract
In the context of the data-driven era, it is essential to explore practical ways to cultivate the core literacy of sports professionals in colleges and universities. This study aims to analyze the core literacy of physical education majors in depth by using data mining technology to seek a more scientific and systematic cultivation strategy. The study used the decision tree CART algorithm and the improved Apriori algorithm to analyze the physical fitness data of the students in the School of Physical Education of S University. The CART algorithm clustered the biological fitness data of male and female students, and it was found that male students’ primary physical fitness deficiencies were concentrated in the upper body strength and standing long jump events. In contrast, female students showed deficiencies in endurance and lower body explosive strength. The improved Apriori algorithm reveals the association rules between different physical fitness items, for example, there is a strong association between boys’ 50-meter running performance and pull-up performance. There are apparent differences in the influencing factors of physical fitness between male and female students, which need to be targeted to design training programs. It was found through association rule mining that specific physical testing programs significantly affect students’ physical fitness quality. This study provides a new path for cultivating core quality of physical education professionals based on data mining, which offers scientific basis and practical guidance for physical education in colleges and universities.
Combating plastic pollution in international law: <i>lex lata</i> and <i>lex ferenda</i>
Authors: Solntsev A. M. 
Published: February 2024

INTRODUCTION. Global plastic production has increased from 1.5 million tons in 1950 to 390 million tons in 2021, of which only 9 % was recycled, 19 % was incinerated, almost 50 % was disposed of in landﬁlls and 22 % was dumped in landﬁlls, where this waste could be openly burned or released back into the environment. Plastics have changed the global economy and the lives of billions of people for the better. However, their use comes with signiﬁcant environmental and social costs. Plastic waste negatively aﬀects human health and the environment. The life cycle of plastics covers the entire spectrum of activities, from raw material extraction, production, distribution, use, to disposal as waste, and environmental problems can arise at any stage of the plastic life cycle. Most plastic degrades very slowly in the environment. There are currently a number of international commitments to reduce marine litter and plastic waste, particularly from land-based sources, and several applicable international agreements and soﬅ law instruments related to trade in plastics or reducing impacts on marine life. However, none of the international documents provides a global, mandatory, speciﬁc and measurable target to reduce plastic pollution. In this regard, many states, as well as commercial actors and civil society, are calling for the adoption of a global instrument to regulate marine pollution from litter and plastics. In this article, signiﬁcant attention is paid to the analysis of a future treaty aimed at combating plastic pollution.MATERIALS AND METHODS. This study is based on the analysis of a large volume of materials, including international legal acts, advisory acts, as well as modern doctrinal studies by Russian and foreign authors. The methodological basis of the study was general scientiﬁc (method of logical and system analysis, dialectical method, methods of deduction and induction) and special scientiﬁc (historical-legal, comparative-legal, formal legal methods, method of legal modeling and forecasting) methods of cognition.RESEARCH RESULTS. In the course of the study, various international acts of a mandatory and recommendatory nature were analyzed, the doctrinal positions set out in the scientiﬁc literature, put forward by domestic and foreign legal scholars, were summarized, and the main problems of combating plastic pollution were identiﬁed.DISCUSSION AND CONCLUSIONS. Within the framework of this article, an attempt has been made to give answers to the following questions: to what extent the problem of plastic pollution is an important challenge for modern international law, whether current international law eﬀectively regulates the problem of plastic pollution, what should be the content of a new treaty on plastic and what are the positions of states on its content.
Pengaman Teks dengan Kombinasi Metode <i>Electronic Code Book </i>(ECB) dan Kode <i>Seven Segment Display</i>
Authors: Santoso Kiswara Agung , Pradjaningsih Agustina , Delenia Erick 
Published: February 2024

Layanan media sosial merupakan salah satu contoh perkembangan teknologi di bidang informasi. Salah satu cara meningkatkan sistem keamanan yaitu digunakannya ilmu kriptografi. Sudah banyak penelitian yang menghasilkan algoritma kriptografi, mulai dari algoritma yang baru, modifikasi algoritma bahkan kombinasi dari beberapa algoritma. Berdasarkan kebiasaan algoritma tersebut hacker tentu akan mencari celah untuk melakukan dekripsi dengan cara mencari algoritma dasar dari proses enkripsi untuk kemudian melakukan hack. Untuk mengantisipasi hal tersebut peneliti ingin melakukan modifikasi bukan pada algoritma pembentuknya melainkan modifikasi dari konversi system bilangan basis 2 berdasarkan Seven Segment Display. Salah satu metode yang sering digunakan untuk proses enkripsi yaitu metode Electronic Code Book (ECB). Seven Segment Display merupakan sebuah tampilan yang terbentuk dari tujuh kelompok segmen LED (Light Emitting Diode) yang dirangkai sedemikian sehingga membentuk angka–angka dari 0 hingga 9. Segmen LED dinotasikan dengan 1 jika menyala dan 0 jika mati, pola tersebut dapat digunakan untuk memanipulasi bit biner 7 bit khususnya karakter angka 0 hingga 9. Modifikasi terletak pada proses pembentukan bit kunci yang dibangkitkan berdasarkan aturan Seven Segment Display. Aturan ini digunakan untuk mengganti nilai bit, bila pada umumnya nilai bit didapat dari sistem bilangan basis 2 maka disini nilai bit didapat dari aturan seven segment display dan inilah yang merupakan state of the art dari penelitian ini karena belum pernah digunakan sebelumnya. Hasil penerapannya menunjukkan bahwa data yang dienkripsi menghasilkan chiperteks acak berupa karakter printable pada ASCII dan chiperteks dapat dikembalikan secara utuh tanpa ada informasi yang hilang.
Fungsi Aizuchi Verbal dalam Dialog Anime Yuru Camp Episode 1-6 Karya Afro
Authors: Aryandi Arif Dzaki , Andarwati Titien Wahyu 
Published: February 2024

Aizuchi merupakan kebiasaan unik yang dimiliki oleh orang Jepang saat berbicara dengan orang lain. Aizuchi adalah ungkapan pendek yang diucapkan oleh pendengar ketika melakukan suatu percakapan. Fungsi aizuchi seperti yang dikemukakan oleh Mayumi Kubota terdapat 7. Penggunaan aizuchi banyak ditemukan pada anime yang berjudul Yuru Camp karya Afro. Oleh sebab itu, anime Yuru Camp dipilih sebagai sumber data penelitian. Dengan menggunakan metode deskriptif kualitatif, tujuan dari penelitian ini adalah mendeskripsikan fungsi aizuchi yang terdapat dalam anime Yuru Camp berdasarkan teori yang dikemukakan oleh Mayumi Kubota. Dari hasil analisis data, fungsi aizuchi yang digunakan dalam dialog anime Yuru Camp adalah fungsi tanda mendengar (kiite iru to iu shingou), fungsi tanda mengerti (rikai shite iru to iu shingou), fungsi tanda sependapat (doui no shingou), fungsi tanda menyangkal (hitei no shingou), fungsi tanda ungkapan perasaan (kanjou no shingou), fungsi tanda penyambung jeda (ma o motaseru shingou), dan fungsi tanda menambahkan, mengoreksi, dan meminta informasi (jouhou o tsuika, teisei, youkyuu no shingou). Penggunaan aizuchi dalam anime Yuru Camp mendukung terjadinya percakapan antartokoh menjadi lancar karena pendengar menunjukkan perhatiannya kepada pembicara dengan cara yang santun.
Kata Kunci: aizuchi; anime; verbal.