Reviewerly/exHarmony huggingface dataset:
Teacher's Pedagogical Activity and Formation of the Teacher Professional Skill the Conditions of the Development of Stem Education

The article presents the relevance of forming the professional skills of teachers of general secondary education institutions in the context of STEM education development. The study of this problem contributes to the effectiveness of the introduction of innovations and the fulfillment of educational and educational tasks by educational institutions at a high quality level.&#x0D; The content of the article reveals in detail the teacher's pedagogical activity, its types, principles and functions, structural components and levels of formation, professional characteristics of the teacher as an element in the education system.&#x0D; The longitudinal study of the levels of formation of the structural components of pedagogical activity (projective, organizational, communicative, gnostic) of teachers of general secondary education institutions has highlighted the positive impact of STEM education on professional development. STEM education has become a tool for the effective realization of teachers' creative potential to update didactic methods, tools, forms and principles of teaching. The strengthening of the role of STEM education has led to teachers' motivation to teach integrated subjects of the natural sciences, mathematics, and humanities, which also contributed to the improvement of the study results.&#x0D; The development of teachers' professional skills is facilitated by participation in various events at the regional, national, and international levels. At such events, educators not only gain new knowledge, access to new resources, but also have the opportunity to present their own work and exchange new thoughts, ideas, experiences, as well as find solutions to develop a STEM education model for the systemic development of an educational institution.
Research on parallel algorithms for high-power microwave devices based on GPU

In this paper, on the CHIPIC-3D software platform independently developed by the University of Electronic Science and Technology of China, the original electromagnetic field algorithm and particle simulation algorithm in the software are improved, and the CUDA-based particle simulation core computing module is completed, which can accelerate the simulation of high-power microwave devices in a heterogeneous CPU-GPU manner. Finally, taking the rectangular waveguide (GUIDE) and the relativistic return wave tube (RBWO) as examples, the simulation test shows that the electromagnetic field algorithm can achieve up to 36 times the acceleration, and the particle simulation algorithm can achieve up to 10 times the acceleration.
A X-Band Tunable Diplexer based on Talbot Effect

Based on the principle of talbot effect, a X-band tunable high power diplexer is studied, which adopts bridge and phase shifting. The good isolation ability between such bridge ports is used to achieve dual frequency power synthesis, which can replace the filter structure in the traditional diplexer. The simulation results with Ansoft HFSS shows that the transmission efficiency of the tunable interferometer are more than 97% in the frequency band from 9.2GHz to 10GHz, and the power capacity can reach GW level. Which would be applied in the high power microwave system, through the seveal ways power synthesis, and the system whole power capacity can reach tens of GW.
Blockchain Technology in Healthcare Industry: Benefits and Issues

Blockchain technology upends the status quo by providing a productive and decentralized platform for data management. Blockchain is a data management system that has the potential to enable accountability and transparency. Every computer network user may have a duplicate copy of the Blockchain, a ledger of transactions where network members validate data submitted into the ledger; once entered, the data cannot be changed [1], [2]. Revenue cycle administration, doctor credentialing, electronic health records, and supply chain administration are applications in the healthcare industry, yet, their widespread adoption is threatened by prospective government regulation and internal concerns [3].Additionally, the fact that the data in the Blockchain is duplicated across all of the network’s nodes fosters openness and transparency, enabling healthcare stakeholders, particularly the patients, to understand how, by whom, when, and how their data is utilized [4]. More crucially, since the data in the ledger is duplicated throughout several nodes in the network has no impact on the ledger’s current state. As a result, Blockchain, by its very nature, can defend against possible data loss, corruption, and security threats like ransomware assault [5].
SOME OF BASIC KEY POINT OF ONLINE LEARNING EDUCATIONAL TOOLS

The aim of the review is it to highlight some of basic key points of online educational tools. Define online learning, distant learning and flexibility terms in the field of distant learning. Name some of possible problems and their solutions that teacher can deal with during educational flow. Provide basic features of tools designed for online education considering certain positions we outline. The article is to describe some of most useful functions, their possible integration into curriculum and practical peculiarities of their use. Make some predictions of problems and conflicts that might occur during online education with stated tools limit use. The article gives definitions of terms online-education ,flexibility, application and distant learning.&#x0D; The article is to cover following positions: 1. Basic theoretical background. Some of online education tools and their functions. 2. Interactions. The article gives range of possible online tools interactions. Considering teacher – student, student – student and teacher – teacher models.). 3. Flexibility and improvement. Some of basic structures, elements educational algorithms can evolve. This improvement might make educational process more efficient. The article gives the definition of flexibility in online-education and distance learning. The set of practical suggestions based on theoretical foundation with online learning experience is given.&#x0D; The author gives a suggestion that it is relevant to use learner-centered, approach. Feedback should be fast, provide the teacher with the details and have a system. It is a key to the success. The way to the student heart and mind and therefore better comprehension though a modern technology makes learning more successful. This is possible with the use of the modern technologies. Modern technologies are attention grabbing, user friendly and flexible. With use of modern technologies better results in understanding, team work as well as getting students interested in the study and attract their attention. The author claims that flexibility is the basic point for online learning correlation and functional establishment.
Intellectual Student Competitions in Modern High School Realities

Based on the study of the organization of intellectual student competitions in higher education, the article presents the results of the functioning of strategic forms of students' scientific creativity. Long-term statistical material was collected and analyzed, which made it possible to determine the current trends in the organization of students' intellectual competitions. Taking into account the specifics of such competitions, an analysis of regional factors was carried out and an assessment of their influence on the functioning of the existing system of searching and selecting gifted student youth in higher education was given. The ways of increasing the efficiency of the organization of students' intellectual competitions have been determined.
Experimental Model of General Secondary Education Institution in Conditions of Mixed Learning

The article analyzes the proposed effective model of a general secondary education institution in the conditions of the implementation of mixed education (the use of distance, network, home, individual learning technologies), outlines new vectors of development of general secondary education institutions based on the integration processes of the implementation of mixed education, the need for which arose during pandemic and Russian military aggression, pedagogical organizational principles are outlined. The question of solving the problem of assessing the quality of basic secondary education is raised, the points of improvement of the mechanisms of the organization of the educational process in institutions of general secondary education are considered.. The proposed model of the general secondary education institution contributes to the individualization of the educational process, encourages teaching staff to continuous self-education, promotes the formation of an information culture in them, sets them up for mastering innovative means of obtaining and applying information, and creating an individual educational trajectory. The system of organization of the educational institution as a social phenomenon is considered in several aspects: the study of the conditions of management of the institution of general secondary education in the context of the implementation of mixed education; determination of the index of cognitive activity of pedagogical workers of the institution of general secondary education in the conditions of mixed education; determining the effectiveness of the institution of general secondary education in the conditions of the implementation of mixed education.
Implementation of Interdisciplinary Connections in the Lessons of Fine Arts in Elementary School

The article examines the peculiarities of the implementation of interdisciplinary connections in the lessons of fine arts in elementary school, in particular, the concept of «interdisciplinary connections» is substantiated, the levels of interaction of educational subjects are outlined (surface interaction, the influence of one discipline on another, the interrelationship of disciplines). A comparative characterization of interdisciplinary connections and integration in fine arts lessons in elementary school was carried out. Functions (educational, educational, developmental, didactic, integrative, constructive, psychological), types of interdisciplinary connections (content-informational, operational-activity, organizational- methodical) and types of interdisciplinary tasks (knowledge, activity, value-oriented).&#x0D; The implementation of interdisciplinary connections in fine arts lessons contributes to the holistic display of educational material, activating younger students to study. Intersubject connections act as an element of integration, relying on knowledge from other educational fields, but in a combination of no more than three in one lesson, and precisely with the main subject in the lesson - visual arts, all other educational subjects are secondary. Since fine art integrates the knowledge of different fields, in such lessons it is possible to realize interdisciplinary connections with music, mathematics, Ukrainian language and literary reading, lessons "Design and technologies", computer science and lessons "I explore the world" (natural, social and health preservation, civic and historical educational fields).
Transformation of a Legacy Airport Meteorology Application into a Serverless Cloud Application

In this article we describe our continuing work on transforming a legacy application dealing with airport meteorology into a cloud application, using the concepts of serverless computing and Function-as-a-Service. In our previous work [1] we have described the architecture and concepts of our solution, and initial experiments with several FaaS tools. Here we continue the experiments, concentrating on the Apache OpenWhisk framework, which we have selected as our target serverless environment. We have further developed some of the application’s components and tried to execute them via OpenWhisk. During these experiments we have found multiple practical problems of transforming and executing legacy applications as serverless functions in OpenWhisk, and have devised solutions for these problems.
Experience of Distance Education in General Secondary Education Institutions of Ukraine

The purpose of the research was to analyze the results of the All-Ukrainian educational and methodological selection «RodovidUchitel – 2022» and to provide recommendations on the organization of distance learning, based on the experience of distance learning in schools in Ukraine. The answers of 313 participants of the selection were analyzed, the purpose of which was to identify and spread the best experience of distance learning in general secondary education institutions. The analysis of the results showed that the majority of contestants use digital tools and modern learning tools in their own professional activities and strive to strengthen digital competence with the help of various subjects of professional development, most often with the help of materials posted on the educational portal “Na Urok”, the online education studio «EdEra», the national educational platform «Vseosvita». At the same time, certain problems were identified related to: the number of author's studies for the distance form of education; participants' attention to the issue of intersubject connections during distance learning; the activity of teachers regarding posting on the Internet of their own developments regarding the organization of distance learning; participants’ understanding of the differences between distance learning and face-to-face learning; the level of digital competence of teachers for the organization of effective distance learning and the need for additional preparation for its implementation; the activity of regional institutes for the improvement of the qualifications of pedagogical workers regarding the training of teachers on the issue of organizing effective and high-quality distance learning. In order to eliminate the gaps identified as a result of the survey, the subjects of teacher training were suggested to pay attention to the need to improve the digital competence of teachers regarding the organization of effective and high-quality distance learning, and recommendations were provided on this issue. Further research is needed to study the best foreign experience on the mentioned issue.
Innovative Practices of Tutoring Support for the Development of High School Students’ Social and Personal Competences during Marital Law

The article carries out a thorough analysis of Ukrainian and foreign scientific works, which highlight innovative practices of tutor support for students in the education system and reveals the peculiarities of the implementation of new forms of educational organization. The understanding of tutoring in the modern educational process is clarified, the essence of the specified pedagogical activity is described, taking into account the possible types of tutoring support for high school students.&#x0D; The structure of social and personal competence of high school students and its elements are determined. The authors’ view on the process of acquisition of social and personal competence by an individual is described. Its key components are defined and characterized.&#x0D; It has been found that tutoring support for the development of social and personal competences of high school students in the conditions of martial law as a model involves a personal nature of educational activities, taking into account an individual and psychological characteristics of students, a careful attitude to their interests and needs. For the successful implementation of tutoring support, a tutor must adhere to the step-by-step implementation of tutoring activities.&#x0D; In general, in the conditions of war, there is an intensive search for new approaches to learning, among which innovative forms of organization of the educational process, taking into account the creation of a safe educational environment and psychological support of education seekers, are significant.
A Combined Finite State Machine and PlantUML Approach to Machine Learning Applications

Despite recent progress made in the theory and practice of Artificial Intelligence (AI), there is still a lack of tools and algorithms for the design and implementation of Neural Networks (NN) capable of explaining how the processes producing decisions are made. Therefore there is a need for devising new algorithms for endowing NN to address the transparency and accountancy in the use of AI, especially in areas where AI decisions have a significant impact on people’s lives. This led to the research and investigation of algorithms for explainable AI (XAI), a field which is at the very beginning of its activities. In this paper, a Finite State Machine (FSM) approach is applied to the design and implementation of a blend of Machine Learning (ML) frameworks capable to auto-build, auto-train, and auto-deploy AI models using abstract representations. It is demonstrated, in this paper, that FSMs can be generated and applied at the design of engineering and AI automation tools such that platforms such as AutoML, AutoGluon and others can be controlled at their turn. The automation of AI models is achieved by parsing the FSM states, which results in the creation of Python artifacts that can be executed. The proposed FSM controls the Automated AI Platforms (AAIP) based on the decisions made by the FSM Controller (FSMC). The FSMC is the root of the FSM graph possessing in its structure the rules driving the NNs. The parsed diagrams are nodes of the diagrammatic reasoning (DR) algorithms. These algorithms are capable of selecting the proper FSM and PlantUML diagrams from a database of such diagrams. An implementation of the combination of FSM, FSMC and RNN is described in this paper plainly illustrating the advantages of the FSM approach to AI. The PlantUML diagrams used to generate the figures in this article can be found at the following URL <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> . <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> https://github.com/mirceat/FSM2ML-diagrams
Solving Jigsaw Puzzles Using Computer Vision and Curve Similarity Measures

Jigsaw puzzles are a popular form of entertainment. Solving them with the help of computers raises several interesting problems, and has been the subject of many published papers in the past. In this paper, an approach to creating a program that uses pictures of real puzzle pieces to reconstruct the full puzzle image is presented. A photography technique is described that results in consistently recognizable images, which are used to extract features of the puzzle pieces. These features are then compared using two similarity algorithms - Hausdorff distance and Dynamic Time Warping. Three different puzzle assembly strategies that use these comparisons are presented, along with additional logic rules to solve the full puzzle. Using these the final program is capable of solving two different, 25-piece jigsaw puzzles. A comparison of the different similarity measures and assembly algorithms in the scope of the problem is also presented.
A Study on the Development of Augmented Reality Contents for Air Compressor of Railway Vehicles

Most of the maintenance and training of the railway vehicle of the Korean urban railway operator was conducted in the form of document-based manuals or internet-based e-learning. This training method is inefficient due to restrictions such as time, space, and human resource operation. This study is about the development of high-definition augmented reality content for innovation in existing education and training in accordance with the recent smart maintenance transition and digitalization of maintenance. To this end, the realistic contents for maintenance and training of commuter rail vehicle air compressors that can increase immersion and realism for railway vehicle maintenance workers were developed. In addition, a questionnaire evaluation was conducted on field applicability. Rail vehicle maintenance workers can receive maintenance support by efficiently accessing work information at the workplace using mobile devices. In order to evaluate the usability of the developed air compressor maintenance augmented reality content, a usability evaluation survey was conducted on 100 college students majoring in railway vehicles. The overall average score of the 6 questionnaire items for the content was 4.12 out of 5 points, which was very good. Therefore, this content is very useful for beginners in maintenance of railway vehicles and is considered to be very effective in using it for maintenance and training of air compressors in the workplace.
Neuroinformatics, Neural Networks and Neurocomputers for Brain-inspired Computational Intelligence

The talk discusses briefly current challenges in artificial intelligence (AI), including: efficient learning of data (interactive, adaptive, life-long; transfer); interpretability and explainability; personalised predictive modelling and profiling; multiple modality of data (e.g. genetic, clinical, behaviour, cognitive, static, temporal, longitudinal); computational complexity; energy consumption; human-machine interaction.
Adaptive Manifold Partial Transfer Learning for Cross-Domain Fault Diagnosis

The domain adaptation method realizes the transfer learning task by reducing the domain discrepancy. However, it is more common that the label space of the two domains is inconsistent in the actual condition. This paper proposes a new adaptive manifold partial transfer learning (AMPTL) method, which realizes partial domain adaptation by reducing the distribution discrepancy between classes in two domains. Moreover, AMPTL proposes a new geometrical structure discovery method to enhance performance in domain alignment, which uses affinity matrix instead of adjacency matrix by manifold learning. Specifically, we use the similarity between samples instead of distance to discover the global geometrical structure of data sets in low dimensional manifold space. AMPTL applies the manifold learning method to the proposed partial domain adaptation method, aiming at adaptively capturing the geometrical structure of data sets. The manifold structure can change adaptively with the spatial mapping to avoid the negative transfer learning caused by the forced maintenance of sample distance. An effective iterative optimization algorithm is designed to optimize the proposed objective function under the condition of theoretical convergence. This method is applied to partial fault diagnosis of bearing datasets with unmarked target domain samples. The experimental results show that AMPTL has higher performance than other typical DA methods.
How we can use text classification in the Back-Office environment of a bank as ‘business as usual’ solution

Natural Language Processing nowadays provides scientists with many research areas and opportunities, but as with most applied sciences, our goal in Natural Language Processing is to refine the underlying science and technology until it can be used reliably for business purposes. Transformer models, such as GPT or BERT, are currently showing outstanding results in the field of natural-language processing, but they require huge computational power and data to teach, but these conditions can only be met by larger research centers and large companies, and their inaccuracy makes them unsuitable for use as a ‘business as usual’ (BAU) solution. In this paper, we present a solution that is able to overcome these problems by focusing on accuracy and usability, and that can also bring a new perspective to the process of teaching deep learning models.