Reviewerly/exHarmony huggingface dataset:
INTERDISCIPLINARY APPROACH IN THE RESEARCH OF THE TRAINING OF HIGHLY QUALIFIED SPECIALISTS

The findings of the research of the basis for improving the research of the training of highly qualified specialists are presented. The author relies on an interdisciplinary approach, revealing the conditions for the formation of thinking focused on the purposeful preference of high-quality standards of work. The goal is achieved to identify algorithms for the activity of research thought that uniquely determine the explication of patterns of pedagogical development of methods for training highly qualified personnel. The allocated algorithms (orientation to acts of inner speech, professional adaptation of the meanings of utterances, etc.) determine the development of thinking of the highly qualified specialists by bringing research to the standards of inner speech used in all age periods of human life but not only in early childhood.
PROFESSIONAL VALUE ORIENTATION OF A FUTURE TEACHER: THE PSYCHOLOGICAL AND PEDAGOGICAL ASPECT

The article examines the essence of the value approach in education, defines its main theoretical aspects, considers the content of the professional and value orientations of the future teacher, which should be formed in the process of obtaining professional education. The author defines the role of value orientations in professional activities. The formation of professional and pedagogical values is carried out in the process of a future teacher’s studying theoretical courses of the educational program, having practical training in the educational institutions, acquiring the competence that reflects the life activity of the individual, organizing educational activities at the university.
THE PLACE AND ROLE OF STUDENTS’ RESEARCH WORK AT THE UNIVERSITY: GRADES OF UNDERGRADUATES

Students’ assessments of the implementation of research work at the university are analyzed: its necessity, functions, the most interesting forms and technologies for students. The problems hindering the development of students’ research work are considered, measures for its improvement are proposed.
SELF-EDUCATION OPPORTUNITIES IN A MULTIFUNCTIONAL CITY LIBRARY

The article examines the current situation of libraries and touches on the problem of their aging as a sociocultural phenomenon. The article is aimed at determining the role of libraries in the process of human self-education and finding out what can increase the interest of readers. The author argues that the multifunctional use of library space and new organizational forms can become an effective means of increasing comfort, and therefore the activity of visitors.
DOMINANTS OF FORMING PROFESSIONAL META-SUBJECT COMPETENCES AMONG PEDAGOGICAL UNIVERSITY STUDENTS IN DISCIPLINARY CONDITIONS EDUCATIONAL PROCESS

The purpose of the study is to determine the content dominants of the formation of professional meta-subject competencies of students of the Pedagogical University. The objectives of the study included consideration of the main characteristics of the meta-subject phenomenon in pedagogical theory and educational practice, clarification of the definition of the concept of “professional meta-subject competencies of a student of a pedagogical university” and specification of the pedagogical conditions for the formation of meta-subject competencies of a future teacher. The study used theoretical methods: the study of scientific publications; theoretical analysis, systematization and generalization. As a result, the key dominants of the formation of meta-subject competencies of the future teacher were identified. These are the universal concepts, concepts, theories and models of world pictures that underlie the system-holistic view of the world and man and the methods of action, skills and abilities to implement the meta-subject component in the context of a subject-oriented educational process.
PROBLEMS OF PROFESSIONAL ADAPTATION OF YOUNG TEACHERS IN AN RDUCATIONAL ORGANIZATIONP

This article discusses the problems of professional adaptation of young teachers in the field of general, professional and higher education: lack of practice, lack of methodological training, psychological unpreparedness to perform professional functions. The features of accompanying young teachers in an educational organization are revealed and effective ways for young teachers to enter professional activities are revealed.
DEPENDENCE ON THE INTERNET AND READING ART: A PROBLEM ASPECT

Many anti-intellectual scientists predict the end of “linear reading” and even consider reading “a strange anomaly in the history of our mental development.” Although, it is reading books that helps to develop memory, attention and imagination. The emergence of the Internet has led to the attenuation of the brain cells that are responsible for these functions. Modern scientists have proven that properly organized mental work, and reading classical literature is a complex intellectual, mental and spiritual work, protects the brain from terrible diseases of the elderly, and recently much younger age: loss of cognitive abilities, motor reactions, speech skills. This paper presents the results of many years of research on determining the time spent on the Internet. The results of an experiment on improving memory in connection with reading fiction are presented.
ORGANIZATION OF DISTANCE LEARNING IN PRIMARY SCHOOL

The organization of remote interaction is one of the urgent problems of modern pedagogy. This aspect studied at the Topchikhinskaya secondary school No. 2 of the Altai Territory from 2018 to 2022. The article gives the results of an experimental study, proposes recommendations for parents and teachers of primary classes on organizing distance learning.
IMPROVING METHODS OF TEACHING FUNCTIONAL LITERACY AS A FUNDAMENTAL DISCIPLINE IN THE FORMATION OF ECONOMIC CULTURE OF SCHOOLCHILDREN

The article examines the structure of the discipline "Functional Literacy", and also describes the stages of teaching financial literacy at the primary school level. On the basis of a survey conducted among grade 3 students, the shortcomings of teaching financial literacy were identified, and methods and tools for conducting a lesson on functional literacy in primary school were proposed in part of the section "financial literacy" as an element of the development of economic culture of schoolchildren.
Study of the principles and mechanisms of virtual reality and their use in the educational process in primary grades

Virtual reality is created by a combination of technologies used to visualize and interact with a virtual environment. These environments often depict three-dimensional space, which can be realistic or imaginary, macroscopic or microscopic, and based on realistic physical laws of dynamics or on imaginary dynamics. The multitude of scenarios that VR can be used to depict makes it widely applicable to many areas of education. A key feature of VR is that it enables multi-sensory interaction with the visualized space. In a VR simulation, a computer models and displays an environment through which we can walk and interact with objects and simulated people. A virtual environment is usually depicted as a three-dimensional world, and often virtual worlds attempt to replicate the real world both in appearance and in the way objects behave (such as simulating gravity). One of the advantages of virtual environments is that they can be used to depict completely unrealistic scenarios. The quality of education is an important issue for Ukraine, because it is the basis on which the future of each individual depends, as well as for society and the state as a whole. Education is divided into levels, the first of which is primary education. Its goal is the development of the child, which will ensure his readiness for life in a democratic and information society. One of the important subjects of primary education is mathematics. The model of teaching children of the digital generation must take into account the changes that occur due to the constant discoveries and development of humanity. Virtual reality is already widely used in many different fields of education, including science, archaeology, history and architecture. The inclusion of this technology in primary school education can have a positive impact to a large extent.
Study of input images parameters for improving person identification information technology

This article describes the research of the algorithm based on local-textural descriptors, which is the basis of the information technology of person identification, with the aim of increasing its efficiency and reducing the probability of identification errors. An analysis of previous studies has shown that the performance of a face recognition and identification algorithm can vary significantly after applying it to images from different datasets. In addition, the issue of using local texture descriptors in the tasks of face recognition and identification on images of different quality has not been sufficiently studied in modern research. Therefore, the main goal of this work is to study the parameters of face images that will be used for identification process with the appliance of the algorithm based on such local-textural methods as histograms of oriented gradients and local binary patterns in one-dimensional space. During the experiments, it was established that the algorithm identification accuracy rate can be decreased by 35-70% when it is applied to image samples taken in unconstrained conditions. In order to investigate the possibility of reducing the variation of the results, experiments were conducted on the same images with the transformation of their properties, such as format and resolution. During the research, experiments were carried out with several of the most common databases of face images, as a result of which the efficiency of the algorithm reached the level of accuracy of identification of 95% on images taken under controlled conditions and unified within one database. As a result, it was found that in some cases, the conversion of the image format submitted to the input of the algorithm can increase the accuracy of the algorithm’s identification by 5%. Also, the efficiency of the algorithm is affected by the resolution of the input images, in particular, due to the application of the algorithm to transformed images from the Database of Faces database, the accuracy of identification increased by 5-10%, FERET — decreased by 5-35%, SCface — decreased by 10-30%, CFP — increased by 5-10%, Tinyface — increased by 25-35%, LFW — increased by 15%, AgeDB — increased by 5%. The highest identification accuracy rate of the algorithm, which is 95%, was obtained after its application to images taken under constrained conditions and unified within the same database.
Development of a user interface for input of a curvilinear object movement trajectory with variable speed

The article considers the development of an interface for the most accurate input by the user of the trajectory of the curvilinear movement of the ship in the marine environment with variable speed for the further development of software for modeling the marine water area. Convenient modeling of objects in the sea water area requires a convenient interface that allows the user not only to set an arbitrary curvilinear trajectory of movement, but also checks the possibility of movement of the given object in relation to its size and speed of movement. Therefore, for the implementation of an interactive interface for entering a curvilinear trajectory of a ship, it is necessary to take into account the dynamics of the controlled object. When evaluating the trajectory, the physical limitations of the vessel must be satisfied. They determine the minimum radius of curvature, tangential acceleration and all three speeds (longitudinal, transverse, angular). The projected trajectory should be smooth, and its speeds along all three axes should be constant. Taking into account information about the physical forces affecting the movement of the ship, the formulas for calculating the points of the trajectory were derived, which are subsequently used both for visual representation and for calculations in the simulation of the experiment. The problem was divided to 3 parts: linear movement, the movement along the arc of the circle, movement after the turn. The algorithm for getting the position of the ship at any point of time during the turn was provided/. The article also provides an example of coding derived formulas using C# programming language. The results were provided by demonstrating the developed interface.
Analysis of existing approaches to group control of autonomous unmanned aerial vehicle

To ensure coordination and effective interaction between groups of autonomous mobile robots, there are several approaches that can be used to achieve common goals and solve problems in autonomous systems and robotics. These approaches include the Known Field and Leader-Known method, the behavioral approach, and the consensus-based strategy. Each of these methods has its own characteristics and advantages, and they can be used depending on specific conditions and tasks in the context of autonomous systems and mobile robots. The main field and leader-aware approach is based on simulating the motion of particles in a potential field, where one of the works can act as a "leader" and the others follow it. This method provides movement towards a given target and avoids obstacles on the way to passing distances and directions. The behavioral approach involves the use of a set of rules and algorithms that initiate the behavior of everyone in the group. Each robot has its own "behavioral" rules that are used to respond to specific conditions and conditions. This approach provides flexibility and adaptability in different scenarios and efficiency for teams working in a variety of settings. The consensus-based approach is based on the idea of achieving suitability and synchronizing work with each other in a group. Robots exchange information and interact with each other, in order to achieve overall consistency in their movement and activities. This method allows for collaborative coordination and execution of tasks that require interaction between robots. The choice of a specific approach depends on the purpose and requirements of the tasks, and also takes into account specific conditions. In many cases, a combination of these methods can be an effective solution for solving complex problems and achieving the most effective interaction between robots. All this contributes to the further development of autonomous systems and ensures their ability to work as a unified group in various fields, including transport, logistics and other important industries.
Art criticism: modern aspects

The article attempts to identify the main goals facing modern criticism as an art of judgment and understanding of the essence of the spiritual through a subjective interpretation of the state of the world. Also, the main reasons and problems that art criticism is currently facing, are comprehended. Since art criticism is a science, and its identification begins to be carried out in the “art history – criticism” system, representing a triad: “art history − art theory − art criticism”, and the practice of criticism is firmly connected with the creative activity of a person, it can be considered as a kind of cultural phenomenon.
EAE-GAN: Emotion-Aware Emoji Generative Adversarial Network for Computational Modeling Diverse and Fine-Grained Human Emotions

With the growing ubiquity and broad usage, emojis are widely used as a universal visual language, which complements the intentions and emotions beyond the textual data. Despite the critical role of representing emotion, existing emojis neglect the subtle and complex properties of human emotion in that only countable and finite face emojis exist in a categorical manner. In this article, we propose a novel approach to facial emoji generation, which can control the emotional degree of generated emojis for more complex and detailed usage on online conversations. In other words, we develop a new emotion-aware emoji generative adversarial network, which is capable of generating an emoji that expresses a given emotion distribution. In this way, our approach aims to map fine-grained emotions to expressive emojis. Both quantitative and qualitative evaluation demonstrate that our approach can successfully generate highquality emoji-like images by representing a wide range of emotions. To the best of our knowledge, this is the first approach to use the deep generative model from the standpoint of the emoji’s emotional role, which can further promote more interactive and effective online communication.
INSPECT: Intrinsic and Systematic Probing Evaluation for Code Transformers

Pre-trained models of source code have recently been successfully applied to a wide variety of Software Engineering tasks; they have also seen some practical adoption in practice, e.g. for code completion. Yet, we still know very little about <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">what</i> these pre-trained models learn about source code. In this article, we use <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">probing</i> —simple diagnostic tasks that do not further train the models—to discover to what extent pre-trained models learn about specific aspects of source code. We use an extensible framework to define 15 probing tasks that exercise surface, syntactic, structural and semantic characteristics of source code. We probe 8 pre-trained source code models, as well as a natural language model ( <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">BERT</monospace> ) as our baseline. We find that models that incorporate some structural information (such as <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GraphCodeBERT</monospace> ) have a better representation of source code characteristics. Surprisingly, we find that for some probing tasks, <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">BERT</monospace> is competitive with the source code models, indicating that there are ample opportunities to improve source-code specific pre-training on the respective code characteristics. We encourage other researchers to evaluate their models with our probing task suite, so that they may peer into the hidden layers of the models and identify what intrinsic code characteristics are encoded.
Symbolism and Directivity of Joint Keypoints in Temporal and Spatial Dimensions in Human Pose Prediction with GCN-based Model

A wide variety of methods have been developed to predict the posture of the human body at a given point in time based on data on previous movements. More recently, prediction models based on deep learning have become a topic of active research and development. In this study, we adopt the strategy of separating spatial and temporal information based on an existing STGCN model to extract features effectively in both space and time, and we analyzed the effects of signed or unsigned and directed or undirected forecasts of the positions of human joints with this approach. We propose a method using an encoder based on a modified graph adjacency matrix in a graph convolutional network model and focus especially on the terms of the signs and directions of data on the locations of the joints in space and time. We also introduce a global residual block. The results of an experimental evaluation of our proposed method showed that we obtained better performance by applying the signed and directed features independently to the spatial and temporal adjacency matrices. The proposed model exhibited noticeable improvements in several aspects. In future research, we expect these features of the modified adjacency matrix to help learning models understand the correlation between symbols and directions for various actions and poses.
Efficacy of Social Media for Accessing Sexual and Reproductive Health Information by Youth in Nairobi, Kenya: Case of AMREF Programme

Social media has recently emerged as an increasingly powerful health promotion platform that could help, but research remains limited on its usefulness and practical applications in Sexual and Reproductive Health (SRH) interventions. This study explored the efficacy of social media for accessing SRH information among youth in Mathare area of Nairobi using a case study of Y-ACT programme being implemented by Africa Medical Research Foundation (AMREF) in Kenya. The specific objectives of the study were to analyze general patterns of social media usage, assess the sources of SRH information sought and accessed on social media, determine the types of SRH information accessed on social media, and examine barriers faced in accessing SRH information on social media. The study adopted the descriptive survey study design. Stratified sampling was used in the selection of members within the respective groups due to the group arrangements, followed by simple random sampling from the members in the groups to provide all group members with equal chances of participating in the research. To obtain primary data from the respondents, copies of questionnaire were distributed to the youth, and relevant group leaders and Y-ACT programme officials were interviewed by the researcher. Descriptive statistics was applied to analyse quantitative data, where data was scored by calculating percentages using Microsoft Excel software. Thematic analysis was used to analyze the qualitative data by understanding, organizing, interpreting, and presenting emerging thematic patterns. According to the findings of the study, social media is increasingly popular channel of communication particularly among youth. Top social media in order of popularity were Google, WhatsApp, YouTube, and Facebook, followed by TikTok, Twitter and Instagram. Telegram was least popular. Additionally, findings from both primary and secondary data in this study highlighted the significant use by the respondents and potential of social media for accessing relevant SRH information, mainly on family planning.
Learning with Augmented Reality

Abstract: Modern society is increasingly permeated by realities parallel to the real one. The so-called virtual reality is now part of both current habits and many activities carried out during the day. Virtual reality (VR) is, in turn, related to the concept of augmented reality (AR). It represents a technology still in solid expansion but which was created and imagined several decades ago. This paper presents an overview of augmented reality, starting from its conception, passing through its main applications, and providing essential information. Part of the article will be devoted to hardware and software components used in AR systems. The last part of the paper highlights the limitations related to the design of these systems, the shortcomings in this area, and the possible future fields of application of this extraordinary technological innovation.
Webpage Metadata Extration Using Machine Learning Techiniques

Abstract: This Python script defines a Flask web application enabling users to input a URL. The application fetches the webpage content and utilizes TF-IDF (Term Frequency-Inverse Document Frequency) analysis to extract information like the title, description, and top keywords. The / route renders an HTML template (index.html) for user input, while the /extract route handles a POST request, fetching the webpage content, extracting relevant information using TF-IDF analysis, and rendering the results in another HTML template (result.html). The TF-IDF process involves tokenizing the text, eliminating stopwords, and calculating TF-IDF scores for each term. The top 10 keywords are then extracted based on their TF-IDF scores. The script also incorporates error handling for cases where the webpage cannot be fetched or an exception occurs during the process.