Reviewerly/exHarmony huggingface dataset:
UNIVERSITY DEUCATOR AS SUBJECT OF UNIVERSITY MISSION: SOME ASPECTS

The article is devoted to the investigation of the crucial role of higher education teachers in fulfilling the mission of the university. Through the prism of the educational paradigm of the 21st century from the scientific and methodical positions, by applying the methods of analysis and generalizations, the importance of the professional activity of teachers in the modernized educational space of a university department and a university as a whole has been analyzed. The article also identifies ways to enhance the teacher's professional competence by integrating subject-technological, psychological-pedagogical, and general cultural components.&#x0D; The paradigm shift from a traditional "teacher" to a modern "teacher-architect" or "teacher-creator" allows teachers to establish partnership relations among all participants of the educational process and achieve the multi-directional goals and tasks of modern universities. The authors provide examples from the Department of Microbiology, Virology, and Immunology at Poltava State Medical University to illustrate how innovative pedagogical technologies enhance the quality of partnership cooperation and promote the formation of students' key competencies, leading to the development of their professional and personal characteristics. The article concludes that the effective preparation of new generation teachers for universities, particularly in the medical field, requires multifaceted professional and competency-oriented activity. The article's relevance to the declared topic is evident in its positive contribution to the formation of new generation teachers and the achievement of the mission of universities.
Bibliometric Analysis of Studies on Lexical Simplification

Text simplification is the process of improving the accessibility of text by modifying the text in such a way that it becomes easy for the reader to understand, while at the same time retaining the meaning of the text. Lexical simplification is a subpart of text simplification wherein the words in the text are replaced with their simpler synonyms. Our study aimed to examine the work done in the area of lexical simplification in various languages around the world. We conducted this study to ascertain the progress of the field over the years. We included articles from journals indexed in Scopus, Web of Science and the Association for Computational Linguistics (ACL) anthology. We analysed various attributes of the articles and observed that journal publications received a significantly larger number of citations as compared to conference publications. The need for simplification studies in languages besides English was one of the other major findings. Although we saw an increase in collaboration among authors, there is a need for more collaboration among authors from different countries, which presents an opportunity for conducting cross-lingual studies in this area. The observations reported in this paper indicate the growth of this specialised area of natural language processing, and also direct researchers’ attention to the fact that there is a wide scope for conducting more diverse research in this area. The data used for this study is available on https://github.com/gayatrivenugopal/bibliometric_lexical_simplification .
A Comparison of YOLO Networks for Ship Detection and Classification from Optical Remote-Sensing Images

The waterway traffic is recently getting busier due to the strong development of the shipping industry. There are frequent collisions and other accidents between ships, it is necessary to detect these types of ships effectively to ensure waterway traffic safety. Ship detection technology based on computer vision employing optical remote sensing images has great significance to improve port management and maritime inspection. In recent years, convolutional neural networks (CNN) have achieved good results in ship target detection and recognition. In this paper, we train the YOLOv3 and the latest YOLOv4 model on the dataset. The experimental results show that YOLOv4 can be applied well in the field of ship detection and classification from optical remote sensing. Based on the obtained results, we compare the effectiveness of the models when applied to actual training on the same data set.
The mediating role of innovation and change in the relationship between organizational learning and the sustainability of banks

In this research paper, we focused on the variable that could influence the sustainability of banks. According to Bahrain Economic Vision 2030, sustainability is one of the guiding principles. Ninety-nine (99) managers working in different banks have participated in the survey. The perspectives of the managers are considered in this study. The collected data was tested in SmartPLS 3.0 to have more accuracy in the results. The four hypotheses were decided to be accepted or rejected based on the path analysis, specifically the p-value significance at 0.01, 0.05, and 0.10. Descriptive statistics, factor analysis, correlation, regression, reliability, discriminant validity tests were conducted. From the hypothesis testing, it is relevant that there is no direct relation between organizational learning and sustainability. It is indirectly related to innovation and change. The model verification is based on the samples collected from the managers of each bank. However, the hypothesis requires further verification in different business contexts. There are different factors influencing sustainability, which have not been included in our research such as economic, environmental, and social factors. These could be analyzed in future research.
Gaze is more than just a point: Rethinking visual attention analysis using peripheral vision-based gaze mapping

In mobile eye-tracking, visual attention is commonly evaluated using fixation-based measures, which can be mapped to predefined objects of interest for task-specific attention analysis. Even though attention can be directed independently from the fovea, little research can be found on the quantification of peripheral vision for attention analysis. In this work, we discuss the benefits of enhancing traditional mapping methods with near-peripheral information and expand previous research by presenting a novel machine learning-based gaze measure, the visual attention index (VAI), for the analysis of visual attention using dynamic stimuli. Results are discussed using the data of two multi-object mobile eye tracking use cases and visualized using radar graphs.
Implicit User Calibration for Gaze-tracking Systems Using Saliency Maps Filtered by Eye Movements

In recent studies on gaze tracking systems using 3D model-based methods, the optical axis of the eye was estimated without user calibration. The remaining challenge in achieving implicit user calibration is estimating the difference between the optical and visual axes of the eye (angle κ). In this study, we propose two methods that improve the implicit user calibration method using saliency maps, focusing on eye movement to reduce calculation costs while maintaining accuracy.
ZING: An Eye-Tracking Experiment Software for Organization and Presentation of Omnidirectional Stimuli in Virtual Reality

The growing field of eye-tracking enables many researchers to investigate human (subconscious) behavior unobtrusively, naturally, and non-invasive. For that, a highly natural, immersive, and controllable environment is essential to investigators. Currently, next to mobile eye-tracking in the wild, virtual reality is becoming state-of-the-art for such experiments, combining several eye-tracking modalities’ strengths. Next to simulations, omnidirectional video footage is massively used. 360°cameras capture these videos with resolutions of up to 16k. Afterward, they can be replayed on virtual reality glasses to learn about human behavior in a realistic, highly controlled environment. However, the pipeline from stitched video to eye-tracking experiment results depends on costly proprietary or self-developed software that lacks standardization, leading to recurrent reimplementation. This paper describes an open-source stimuli organization and presentation software implementation that enables researchers to easily organize their stimuli in a standardized way and conduct eye-tracking studies in virtual reality with a few clicks without knowledge about coding or technical details. The code is available at https://bitbucket.org/benediktwhosp/zing
Improving the Education of Computer-Aided Translation Technology Based on Artificial Intelligence

This paper describes the process of improving computer-aided translation technology based on artificial intelligence. The first step is to design a system that can recognize and classify text, which is called “text classification”. The second step is to develop a method for translating sentences into other language, which is called “sentence translation”. By using these two steps as independent modules, we can improve them separately or combine them together in various ways. In this paper, we describe how to improve both of these steps by combining them together and show the results obtained by applying our method to real-world problems.
Analysis on Literature Productivity and Hot Topic Evolution of Vocational Education Research in China

In order to more comprehensively and clearly present the near future of the research and development of vocational education in my country. Through the statistical and visual analysis of the vocational education research literature included in the China National Knowledge Infrastructure (CNKI) database from 1998 to 2022, the characteristics of literature productivity, research hotspots and evolution stages in the field of vocational education research in my country are summarized. The results of the study show that the popularity of vocational education is gradually decreasing. Jiangsu and Zhejiang regions have become the backbone of vocational education research. Vocational education research has gone through three stages: start-innovation-integration. Policies such as supply-side reform and integration of production and education will become the focus of continuous attention in the field of vocational education.
Modeling Technology of Aerobics Intelligent Network Teaching System Based on VR Technology

In recent years, online teaching has developed rapidly. The limitation of space is broken through online teaching. Students have more time to plan their own course arrangements and improve the efficiency of time utilization. Aerobics courses can relieve the huge pressure brought by students in the face of their studies, and can also relax their body and mind, and develop good exercise habits. Therefore, it is of certain significance to promote college students’ exercise courses. This paper analyzes the modeling technology of the aerobics intelligent NT(network teaching) system based on VR technology, and finds that the application of VR technology to the intelligent NT of aerobics has a very good effect. Immersive advantages. The influence of aerobics on students cannot be replaced by other courses. Aerobics is a sport worthy of promotion in universities. In this paper, the VP technology is applied to the modeling of aerobics intelligent NT system, which can greatly improve the efficiency of aerobics intelligent NT. The final results of the study show that the average score of the EG(experimental group) in the five groups is 71.36, and the score of the CG(control grop) is 70.36. It can be seen that the intelligent NT system has a certain help in improving the efficiency of students’ course learning.
Campus Administrative Management Information System Based on J2EE

At present, most domestic school administrations are still accustomed to adopting manual or semi-automatic management methods. The traditional management mode is difficult to adapt to the increasingly complex transaction processing and decision-making. The management efficiency and decision-making of campus administration Correctness is facing severe tests. Therefore, it is particularly important to use computer technology and information network technology to change the traditional management mode, improve the scientificity of business decision-making and the efficiency of administrative office management. This paper designs a campus administrative management information system with J2EE as the platform architecture, and develops and implements the system on the basis of the campus network. The system can manage the teacher’s course information, the student’s student registration information, the school’s announcement information and so on. The system has great use value and can achieve an efficient information management level. According to the results of system running test and concurrent test, it is proved that the system can meet the usage requirements and ensure reliable operation.
Intellective Site System of University Library on Account of Elevated Apriori Algorithm (AA)

University libraries mostly use OPAC system to provide book retrieval service for readers. Through the retrieval system, readers can only get the call number of books and the info of the library where the books are located. Due to the lack of understanding of Chinese Library classification and collection layout, most readers cannot judge the specific site of the books by the call number info. Only according to the rack text guidance and call number info to compare the way to find books, can not achieve fast reading to acquire books. To solve this problem, a graphic display and orientation system is designed by using ASP programming tech and SQLServer database. Readers can decide the specific site of books through the info of book call number retrieved by OPAC system, so as to quickly acquire the required books. This article studies a series of theories and knowledge on account of the elevated AA of university library intellective orientation system research, reveals the concept on account of the elevated AA, definition and so on, and the university library intellective orientation system research case disposal. Through the actual video image effect analysis, on account of the elevated AA of university library intellective orientation system research, test results show that on account of the elevated AA of university library intellective orientation system research in the university library intellective orientation system in the book service productivity, cost reduction ratio, practicality and parameter optimization manifestation reached 83.01%, 91.01%, 92.65%, 98.98%.
Bayesian Network Implicit Variable Discovery Algorithm Based on Structural Decomposition and Factor Analysis

Bayesian network implicit variable discovery algorithm based on structural decomposition and factor analysis (bidas) is a new method to find potential variables in Bayesian network. It decomposes the data space, which is an important step to find hidden variables. Bidas algorithm also uses several statistical methods to find the most detailed factors that can be used as input to the learning process. In this paper, we propose an effective method to implement bidas. The method is to apply spectral clustering using a new regularization technique called adaptive regularization parameter (ARCP). Using only one observation, ARCP can effectively select relevant factors from many different factors.
Design and Implementation of Supply Chain Financial System Based on Blockchain

In the context of mass entrepreneurship and innovation, a large number of small and medium-sized enterprises have emerged. It is difficult for such enterprises to obtain loans from banks due to their low credit rating and inability to provide corresponding collateral. For risk and cost considerations, banks are also easy to ignore the financing needs of such enterprises and are only willing to finance small and medium-sized enterprises endorsed by relevant core enterprises. At present, due to the centralized design of the traditional supply chain financial system, the authenticity of transaction information in the system and the security of private information of participating enterprises cannot be guaranteed, resulting in the low willingness of most enterprises to participate. This paper uses the hyperledger fabric blockchain framework to implement a blockchain based supply chain financial system, so that the transaction information of each participating enterprise is recorded in the blockchain ledger, and the authenticity and security of the system information are guaranteed by taking advantage of the decentralized, non tamperable and traceable characteristics of the blockchain.
Construction of Chinese Healthy Eating Knowledge Graph

With the rapid development of the domestic catering industry, people are gradually concerned about the health problems that come with it. Traditional diet recommendation can help users alleviate the information overload problem, but there are problems such as data sparsity and recommendation results are less accurate. The new auxiliary new type of rich entity semantic association contained in the diet knowledge graph can mitigate the disadvantages of cold start; at same time, the related information in the healthy diet graph is applied to the recommendation system through knowledge representation to recommend suitable dishes for users. This paper will research the design and construction of Chinese dietary knowledge graphs from data sources, knowledge graph data acquisition, knowledge graph data fusion, knowledge graph storage five levels to build a complete knowledge map of Chinese healthy eating, laying a solid foundation for subsequent research.
Research into Curriculum Construction Platform of Computer Major Based on Intelligent Algorithm

Under the development background of educational curriculum reform, personalized curriculum design has become the key content of current reform of the computer major. In this context, this research carries out a design of a curriculum construction platform for the computer major based on intelligent algorithm. Through the user curriculum design module and personalized curriculum design optimization module design, the technological innovation of computer related discipline curriculum construction is realized. Based on the data collected of teachers and students’ subject behaviors and combined with data modeling, intelligent algorithms and other means, it is possible to realize the differentiated construction of subject curriculums and the purpose of personalized education.
Online Reading Experience of Foreign Literature Based on the Background of Internet Technology

Along with the rapid development of mobile Internet, people’s life style has changed, and the way of reading has gradually shifted from paper books to e-books. Nowadays, the trend of e-books is developing better and better, and more and more readers like to read books in the way of e-books. It is in this context that the online reading platform for foreign literature was born. The purpose of this paper is to study the online reading experience of foreign literature based on the Internet background. The main purpose of this paper is to design the online reading platform by using the hybrid intelligent recommendation algorithm for book recommendation, and choose Spring architecture and MYSQL database to develop and design the platform, and conduct a questionnaire survey on the users who use the platform, the survey results show that more than half of the people who are very satisfied and satisfied with the platform, 74 and 91 people respectively, the proportion of the number of people who said they were satisfied was 24.7% and 30.3%, and the number of people who said they were satisfied was the largest. The number of people who said they were satisfied was the largest. 80 people said they were satisfied, accounting for 26.7%. Overall, the satisfaction level is still relatively high and the user experience is relatively good.
The Development of Intelligent English Learning System Based on Web Technology

Web-based learning courses are also a kind of teaching plan, but different from existing courses, it emphasizes student-centered learning and aims to create a learning environment where learning serves students. The purpose of this article is to study the development of an intelligent English learning system based on Web technology. Based on the goals and characteristics of English learning and Web client technology. Created an intelligent English learning system based on Web technology. In order to meet the requirements of outstanding practicality of English learning, students’ personalized and autonomous learning, and completion of teaching goals, and in order to adapt to the development trend of website management autonomous development and the diversification of students’ choice of courses, this system adopts the overall design of user roles, and the function completion adopts modules. Designed to maintain relative independence between each part. System test results show that 72.35% of teachers and students who have used this system are satisfied with the system's functions.
Construction of Digital Management System of Five Education Simultaneously for University Students Based on Information Technology

Integrated education mode of Five Education simultaneously is the current development trend of the new era of education reform. For contemporary university students, the pathway of Five Education is extensive and diversified. It is necessary for universities to explore the combination of the Five Educations of university students from four levels, including university, faculty, department and home-university cooperative organization. Universities construct the digital management system of Five Education from the evaluation system, operation system, curriculum system, teaching system, teacher development system and home-university cooperative system. Universities set up the categories, evaluation indexes, evaluation methods and evaluation standards of collected data by using the “Internet + Five Education system. Universities develop a multi-level classification and comprehensive practice management system with the simultaneous development of education and teaching experience as the main line and recreational activities, social services, and professional experience as the auxiliary lines. In this way, the integration model in four dimensions of university, student, Five Education tutor and parents will achieve the educational goal of all-round development of university students.
Construction of Smart Classroom Model for English Learning in the Internet-Based Era: A Multimodal Perspective

The rapid development of information technology is gradually promoting the formation of the Internet-based language learning ecology. However, the current teaching mode with teachers playing the dominant role in most colleges and universities in China is relatively lagging behind, which has led to time-consuming and inefficient English teaching that emphasizes input and ignores output. In view of this situation, it is imperative to construct and implement a multi-faceted, human-computer interactive smart classroom for English learning under the theoretical framework of multimodal discourse. The author selected the third-year students of the Business English major (enrolled in 2019) from a university in Anhui Province as the research objects, with Business English Translation as the experimental course, carried out the teaching experiment of pre-test/post-test non-equivalent groups design, and reached the following research conclusion: Multimodal smart classroom model helps to enhance students’ autonomous learning ability on web-based platforms, facilitate the transformation of teachers’ classroom roles and identities, and ultimately promote the effective occurrence of English learning activities.