Reviewerly/exHarmony huggingface dataset:
CASE BASED REASONING (CBR) FOR OBESITY LEVEL ESTIMATION USING K-MEANS INDEXING METHOD

As many as 600 million of the 1.9 billion adults who are overweight are obese. Obesity that is not treated immediately will be a risk factor for increasing cardiovascular, metabolic, degenerative diseases, and even death at a young age. Case Based Reasoning (CBR) can be used to estimate a person's obesity level using previous cases. The old case with the highest similarity will be the solution for the new case. Indexing methods such as the K-Means Algorithm are needed so that the search for similar cases does not involve all cases on a case base so that it can shorten the computation time at the retrieve stage and still produce optimal solutions. Cosine similarity is used to find relevant clusters of new cases and Euclidean distance similarity is used to calculate similarity between cases. Random subsampling method was used to validate the CBR system. The test results with K=2 indicate that the CBR is better than the CBR-K-Means, each of which produces an average accuracy of 88.365% and 88.270% at a threshold of 0.8. CBR-K-Means produces an average computation time at the retrieve stage of 33.55 seconds and is faster than the CBR of 35.5 seconds.
Using Project-Based Learning, a Study on the Personal Media Content Creator Design Course in Specialized High School

In this study, the purpose of the study was to find out whether the personal media content creator design course using project-based learning methods in specialized high schools helps students improve their class effectiveness and satisfaction. Therefore, in this study, the current status of personal media content creator design education in specialized high schools was identified through literature research and fact-finding. Based on the research, a personal media content creator design course was developed. A field study was conducted through 50 third-year high school students in specialized high schools in Seoul, who were studied for about five weeks from Monday, April 1, 2023 to Tuesday, April 30, 2023. In order to evaluate the developed class process, a survey in the form of a 5-point recurred scale was analyzed for satisfaction and class effectiveness for students who participated in the post-class class. To summarize the conclusions based on this, the satisfaction level of the personal media content creator design course was high at an average of 3.92 points, proving the effectiveness of the personal media content creator design course using project-based learning methods.
A study on the UX/UI Design Education Program Using PBL in Specialized High School

In the Fourth Industrial Revolution, digital technology is present and utilized in every aspect of our lives. Many businesses and contents have been moved to screens through digitalization. However, even if the information and services provided to users through screens are of high quality, if they are complex and unfamiliar to users, their value is bound to decrease, so creative thinking and problem-solving skills are needed to provide users with optimal experiences. However, there are currently insufficient courses in specialized high schools compared to the need for UX/UI design education. Therefore, this study proposes a UX/UI design education program using PBL to cultivate problem-solving skills for third-year students in specialized high schools and analyzes its effectiveness. As a research method, we examined PBL and UX/UI design and identified the current status of UX/UI design education to lay the foundation for the study. Based on this, we designed a 'UX/UI design education program using PBL' consisting of a total of six stages, and conducted the class through a teaching plan. The overall satisfaction level of the class was 4.68 through the post-class satisfaction survey, which verified the effectiveness of the program.
Research on development plans through Busan Museum experience using AR technology

Traditional museums face limitations in providing an optimal viewing experience, while Augmented Reality (AR) technology continues to advance. This study, using Busan Museum as a case example, aims to enhance the viewing experience and visitor satisfaction, ultimately attracting a larger audience. Employing literature review, case analysis, and questionnaire survey methods, the research establishes the rationale for introducing AR technology to Busan Museum.Through investigation, nine AR functionalities applicable to Busan Museum are identified. Utilizing the Kano model, the study summarizes visitor satisfaction and prioritizes functionality, thereby confirming future development strategies for Busan Museum. Additionally, the research explores the future development of traditional museums by integrating AR technology to deepen visitors' cultural experiences. This includes aspects such as virtual exhibitions, remote tours, real-time translation and interpretation, interactive exhibits, digital collection management, and the fusion of art and technology. These enhancements aim to elevate the overall visitor experience and contribute to the development of traditional museums.
Implementation of the Internet of Things in the Global Library Environment: Bibliometric Analysis

The relevance of the topic. Even though the potential of IoT in optimizing library processes and creating innovative services is meaningful, we can observe a lack of research focused precisely on the implementation and application of IoT in libraries. Studying IoT in the context of libraries requires an in-depth analysis and a systematic approach to expand the opportunities for developing recommendations and guidelines for library institutions.&#x0D; The purpose of the article is to analyze bibliometric data obtained from the Scopus scientometric database concerning the application of Internet of Things technologies in library and information production.&#x0D; The methodology of the research includes the methods of analyzing information regarding data obtained from the Scopus database and its generalization.&#x0D; Conclusions. The analysis and systematization of data from the Scopus database showed that research focuses on innovative applications of IoT, data security, and library services’ development. The identified trends and dynamics of publications indicate that the role of IoT technologies in the modern library sector is persistently growing. Given the increasing number of publications from 2010 to 2022, a positive trend in the number of scientific studies in this area is expected, especially after the reduction of COVID-19 related quarantine restrictions. These conclusions can serve as a foundation for further research and the development of strategies for implementing IoT in libraries.&#x0D; Scientific novelty of the paper is evident because no article containing the analysis of bibliometric data in the sphere of library industry has ever been published. These data were retrieved from the Scopus scientometric database concerning the application of the Internet of Things technologies in libraries worldwide.
Information Support for Tutors in Higher Education Institutions

The relevance. Today, the influence of the tutor on the formation of consciousness and the success of students’ studies plays an important role. A tutor in his professional activity is one of the closest advisers, sometimes even a friend and assistant of a student, such a person helps the student to overcome problems and difficulties. It is the ability of the tutor’s individual approach that makes it possible to prevent problems that may arise for the student. However, the tutor does not always have enough information support for high-quality and efficient performance of his work. Therefore, the use of modern computer technologies in the tutor’s work is quite relevant and necessary.&#x0D; The purpose of the paper is to create information support for improving the tutor’s work.&#x0D; The methodology consists in developing and applying a clear plan that will help divide the main task into detailed subtasks. For this purpose, the work uses a functional model of the tutor’s information provision process to facilitate student adaptation.&#x0D; Conclusions. The tutor’s information support is an important component that affects the success and efficiency of the tutor’s work, as well as for the successful educational, scientific and social activities of students. The development of such an information resource for the tutor provides him with all the information about the opportunities and activities in which the student can be involved, and the student, in turn, is given the opportunity to find a mentor with whom it will be easy and simple for him to work.
Peculiarities of Europeana Metadata as a Set of Information for Describing Digital Cultural Heritage

The relevance of the research. European integration is the main and unchanging foreign policy priority of Ukraine. Further development and deepening of relations between Ukraine and the EU are the main direction of its development. A new stage in the development of EU-Ukraine treaty relations, which began with Ukraine’s accession to the EU candidate status in June 2022, requires further raising awareness of Ukraine’s European integration among all members of society. Libraries can contribute to the formation of objective motivations among the population by understanding the practical benefits of cooperation with the EU. One of the ways of such integration for Ukrainian libraries is to become part of the European library network.&#x0D; The purpose of research is to identify the features of Europeana metadata for further digitization of library collections in Ukraine in order to preserve cultural heritage.&#x0D; The methodology. To achieve this goal, theoretical and general scientific research methods, such as analysis, synthesis, induction, and deduction, were used. The data visualization method and the method of generalization were used to present the Europeana data models.&#x0D; The results. The article defines the types of the Europeana operational model, provides a general overview of the classes defined in the Europeana data model and the process of interaction between Europeana data and wikidata.&#x0D; The scientific topicality. The article summarizes previous, primarily foreign, research on the peculiarities of the development of the Europeana funds. The article presents the data models of the Europeana that function to fill the web portal.&#x0D; The practical significance. The results of the research are presented in the form of Europeana data models and the definition of Europeana metadata types (descriptive, structural, administrative, markup language).&#x0D; The conclusion. The current operating model of Europeana uses the Open Archives Initiative’s Metadata Collection Protocol (OAI-PMH) and the Europeana Data Model (EDM) to import data through Metis, Europeana’s data collection and aggregation service. However, OAI-PMH is an outdated technology that is not web-oriented, resulting in high maintenance costs, especially for smaller institutions. Metadata can be divided into several categories, or types, for different data management purposes. Traditional library cataloging focuses, for example, on the identification and description of resources, but there are obviously other types of metadata that carry valuable information (structural, administrative, markup language).
AUDIT OF EDUCATIONAL PROGRAMES IN DOCTORAL STUDIES

The evaluation of the effectiveness implemen­tation doctoral programs has an informative demand among the beneficiaries of university education. As a rule, in practice, it is carried out by rating processing of scientific education programs, when the doctorate programs of the university are presented in the published ranking scales.&#x0D; The article argues, that this is not satisfactory to evaluate the effectiveness of the doctorate organiszing only in this way, and suggests to carry out accountability audit evaluations of on going doctoral programs.&#x0D; &#x0D;
Model Prototype pada Pengembangan Sistem Informasi Admininistrasi Pendisiplinan Siswa (Studi Kasus: SMA Negeri 8 Kota Bengkulu)

Development of Information System for Student Disciplinary Administration (SIPS) is a system used to manage student disciplinary data, so that it can facilitate officers in recording students who commit violations and follow up on student violations. The student disciplinary information system is built using the PHP Programming Language with CodeIgniter and MySql database, the problem analysis method used is the PIECES method, in developing the system using the Prototype model. From the results of the study it is known that the data collection of student violations at SMA Negeri 8 Bengkulu City which is currently being carried out by recording student data in the book, and for follow-up violations only written on memo paper, and there is no reporting for student discipline, therefore it is necessary to build a Student Disciplinary Information System (SIPS) at SMAN 8 Bengkulu City to provide information about student violation data, which can be stored in the database.
On learning rates for regularized Nyström subsampling in unsupervised domain adaptation

The regularized Nyström subsampling is a popular approach for learning problems that deals with big data. We employ such technique in the context of the unsupervised domain adaptation problems with covariate shift assumption. Within the framework of the Reproducing Kernel Hilbert Space concept, an algorithm is constructed that is a combination of the Nyström subsampling and the two-steps iterated Tikhonov regularization. This approach allows significantly reduce the amount of computing resources involved and at the same time maintains the same learning rates as for the standard machine learning algorithms.
RESOURCES FOR ADAPTATION TO LEARNING STUDENTS – FUTURE BACHELORS OF MECHANICAL ENGINEERING IN THE CURRENT EDUCATIONAL CONDITIONS

Abstract: the article explores the impact of martial law on the self-educational activities of students – future bachelors of mechanical engineering specialities in higher education institutions. The necessity of increasing the internal resources of students for their effective adaptation to the crisis and unpredictable changes in the educational environment and related stress factors is substantiated. The arguments for determining the psychological well-being of students by means of effective stress management and effective learning in stressful situations and uncertainty are validated. The article presents the results of a pedagogical experiment aimed at determining the relationship between the psychological well-being of future bachelors of mechanical engineering specialities and their self-educational activities in the current educational environment. The importance of independent cognitive activity of mechanical engineering students is emphasised, which focusses on the ability to withstand challenges both in the educational environment and in the extracurricular life of students, which positively affects the level of their psychological well-being.
Secure Image Steganography Using Ghm: Hiding Text in Plain Sight

Steganography is a method for concealing confidential information in digital images in a way that is imperceptible to humans. However, existing steganographic techniques are frequently vulnerable to assaults such as steganalysis, which can detect the presence of hidden data. The purpose of this work is to develop a method for securely embedding text data within images while minimizing the visual impact on the carrier image. This research paper introduces an efficient method for image steganography by leveraging the GHM GHM(Geronimo-Hardin-Massopust) multiwavelet transform and n-bit Least Significant Bit (LSB) techniques. The proposed algorithm consists of three stages and for six different cases according to the altering of n- bits of the Least Significant Bit (LSB) embedding algorithm. Quality and safety of the stego-images were evaluated by experimental evaluations using metrics like Peak signal-to-noise ratio(PSNR), Root Mean Square Error (RMSE), and Structural Similarity Index Measure(SSIM). The results consistently demonstrated advantages of the suggested algorithm in terms of Peak signal-to-noise ratio(PSNR) about 24% improvement over the Least Significant Bit (LSB) techniques and 17% improvement over the the DWT (Discrete Wavelet Transform),also in terms of the Root Mean Square Error (RMSE), about 78% improvement over the Least Significant Bit (LSB) techniques and 67% improvement over the the DWT (Discrete Wavelet Transform) in average. The proposed approach significantly enhanced image quality while maintaining a high level of resemblance to the original image, showcasing its efficacy in preserving the underlying structure of the cover image.
Innovative approaches to the education of students of technical specialties in the conditions of war in Ukraine

Problem. The military aggression of the Russian Federation against Ukraine became a challenge to the very existence of the state, its sovereignty and collegiality, and also severely affected all components of education. There was a significant threat to the life and health of the participants of the educational process, large-scale destruction of the educational infrastructure took place, which caused the forced large-scale movement of participants in the educational process within Ukraine and abroad, and led to the deterioration of the provision of educational services and the acquisition of knowledge by those seeking education. This especially applies to specialties of the practical direction. Goal. The aim of this work is to find ways to address the issue of educating Ukrainian students in technical specialties during times of war, to ensure safety, and improve the quality of educational services. Methodology. The study involves analytical research on laboratory and practical work in the context of distance learning. It includes detailed analysis the existing experience of remote performance of laboratory work and the possibilities of their use in the educational process of Ukrainian universities under the conditions of war was conducted. Results. The search for ways to borrow existing experience in the remote execution of laboratory work and the possibilities of their use in the educational process of Ukrainian universities in wartime conditions showed that it is advisable to implement them using the laboratory of digital remote electrical engineering education “My Digital Electrical Engineering”, developed by Riga Technical University. The structure of this laboratory and the algorithm for working with it have been studied. Originality. A step-by-step algorithm for introducing the laboratory of digital distance electrical engineering education into the educational process of KhNADU is proposed. Practical value. The results of this study can be used to enhance the process of distance learning in technical universities of Ukraine during times of war, ensuring safety and improving the quality of educational services.
COMMUNICATION AS THE BASIS FOR SUCCESSFUL IMPLEMENTATION OF PARTNERSHIPS IN PEDAGOGICAL ACTIVITY IN THE MINDS OF DISTANCE LEARNING

Abstract: The article is devoted to the analysis of the communication process as the basis for the successful implementation of partnership interaction in pedagogical activity in the conditions of distance learning. The theoretical aspects of the communication process were analyzed, which included: understanding the role of participants in the communication process, means of communication (language, non-verbal, written), psychological features of communication in education. The specifics of partnership interaction in the educational process in the conditions of distance learning have been studied. The main structural components of partnership interaction are defined: participants, goal, resources, strategy, communication, interaction and cooperation, assessment. The directions by which communication ensures the success of partner interaction are identified, among them: formation and maintenance of trust relations, coordination of actions, conflict resolution, development of metacognitive skills, support of motivation and interaction.
A Comparative Content Analysis of the News Media Framing of Trans Homicide Between Trans Men and Trans Women in the U.S. from 2016 to 2022

Recently, the media’s coverage of trans homicides has increased in the U.S. Studies show that the news media’s framing has been largely negative but has improved in recent times. Yet, research has mostly analyzed the news media’s framing of victims who were trans women, thus limiting our understanding of this issue across different trans groups. The present study employs a mixed method approach to comparatively analyze articles ( N = 124) published in online news media outlets of 15 trans men and 15 trans women murdered between 2016 and 2022. The findings indicate news media outlets used more positive and neutral frames than negative for both groups. However, when compared to trans women, trans men were delegitimized at higher rates. These findings highlight the ways that the police, news media, family, friends, and community members simultaneously contribute to the humanization and delegitimization of trans victims of homicide, demonstrating the importance of ensuring all information released about the victims correctly reflects who they were, or the cycle of delegitimization will continue. By studying how the news media frames trans homicide victims, we can look at how the media shapes cultural beliefs and ideologies about trans people, the role of language in reinforcing stereotypes, and the implications of these framings for trans people.
Structural and Modal Analysis of the Unloading Robot on the Broaching Machine

In order to meet the actual production of a machining company in the low production efficiency, labor intensity, process flow complexity and other real problems, the broaching machine processing upgraded and designed a broaching machine for the production of automatic loading and unloading device. This paper analyzes the layout scheme and workflow of automatic loading and unloading, designs the overall structure of the loading and unloading device and key components, and establishes a three-dimensional model through Solidworks software, and carries out a static analysis of the limit position in the operation process by using the finite element analysis software ANSYS Workbench, and obtains the maximum deformation under the limiting conditions of 0.1129mm, and the maximum stress value of 24.236MPa. The maximum deformation is 0.1129mm and the maximum stress is 24.236MPa. Subsequently, modal analysis is carried out to extract the first 6 orders of intrinsic frequency and corresponding vibration pattern, and harmonic response analysis is carried out on the weak components on the basis of modal analysis, which verifies that the structure complies with the design requirements in terms of strength, stiffness and resonance of the whole machine, and it provides the theoretical basis for the subsequent structural improvement and optimization design.