Reviewerly/exHarmony huggingface dataset:
Modeling of Target Audience'S Intellectual Behavior

The article considers the problems of theoretical substantiation of negative informational and psychological impact evaluation principles, and conducting of relevant researches in this field. At the same time, due to imperfections of theory and practice of negative informational and psychological impact evaluation, previous researches were conducted mainly by “mirroring” the ways of information counteraction, both for our own measures of information and psychological influence, and for the adversary. The rationale for the methodological approaches used in the organization of information and psychological influence is due to inability to access the adversary's target audiences freely and gather the necessary information, as well as the inadequacy of assessing the degree of change in their behaviour. Characteristics mentioned in article classify target audiences according to defined indicators of remote information control of social and individual behaviour of possible objects of influence. Using the formulated conditions and relying on the psychological and psychophysiological characteristics of individuals, a database of target audience behaviour vulnerabilities is forming, that reflects the dependence of indicators of social behaviour perception changes on the intensity of external negative informational and psychological influences. The algorithm of target audience’s information perception is developed based on the model of planned behaviour, in which the subject’s overestimation of small values of probabilities are compared in dynamic with decrease of big ones. The proposed algorithm of evaluation of information-psychological impact allows to receive initial data based on which the model of target audience behaviour will be designed in any environmental conditions.
Distance learning techniques and technologies for effective and successful online learning

The experience of Kharkiv National University of Radio Electronics in the transition to distance learning during the introduction of quarantine is presented. Technological and pedagogical methods for providing modern dynamic technical education in the conditions of a remote mode of work are discussed. Attention is paid to the ways of interaction with teachers and students. The opinion of students — consumers of educational technologies, on innovative teaching methods is given. Features of fast transition from usual academic training to completely distance or blended learning are considered. The most significant difficulties and obstacles in organizing such training are given. Challenges that impose additional requirements during quarantine to ensure the quality of education have been identified. Statistics on the real growth of the load on the distance learning system and how to overcome technological difficulties are presented. When working with server technologies, attention is paid to the process of deployment and constant updating of the virtual machine on external hosting. The factors that directly affect the quality of the system as a whole are given. Recommendations for operating the system during heavy loads are given.&#x0D; The tasks that are a priority for the first stage of the transition to blended learning have been identified. Emphasis is placed on the positive results obtained during quarantine in distance learning, and has prospects for further operation of the distance learning system.&#x0D; Among the modern challenges to higher education are the following: constant quality control of the educational process, student-centered learning, academic integrity, raising ratings, breaking outdated stereotypes, increasing motivation to master modern information technology in teachers.&#x0D; Technological, pedagogical and organizational directions of distance learning system development at the university are clearly defined.
Selected aspects of the competitiveness of Russian universities in the digital environment

The purpose of the article is to reveal, how the development of the digital environment has affected the competition and competitiveness of Russian universities. The article describes the conceptual transformation of the learning process, caused by the development of the digital environment, which led to the emergence of new competitive threats and forms of competition of Russian universities. The author reveals the industry and inter-product areas of competition implemented by Russian universities. Industry competition is the competition of producers of goods using homogeneous, interchangeable resources. In fact, this is a competition for resources between representatives of the same industry, while there may be no product competition, competition in sales. The industry competition of universities, based on constructivism, considers the digital environment as a source of various means and tools of competition. Inter-product competition is competition between substitutes from different industries, that is, between representatives of different industries-producers of products that meet the same need. Inter-product competition is a direction of university competition, which has become more acute with the emergence of MOOCs. To adequately respond to the competitive threats of the digital environment, the author suggests that universities use the principles of connectivism – a new theory of learning that reflects the digital transformation of the educational process. The availability and rapid obsolescence of knowledge in the digital age has led to the fact that knowledge is losing its socio-social value. Learning, searching, finding, understanding, and applying knowledge becomes more valuable. With the application of the principles of connectivism, universities should become more than just organizations that create knowledge and spread values and competencies. They should become part of networks and ecosystems for the dissemination of knowledge that go beyond the boundaries of the university as a separate organization. In this approach, universities develop complex relationships that combine competition and networking.
Research on Cyber-Physical Systems Security

The monograph examines the security of cyberphysical connections in terms of critical information infrastructure.Its practical application finds in one place the latest trends in threats until 2020, to find information about the cyber attacks themselves and solutions on how to protect systems such as SCADA and IIoT.The critical infrastructure in the country and abroad and the cyber-physical systems are presented as part of an information structure.
A High-Performance Data Accessing and Processing System for Campus Real-time Power Usage

With the flourishing of Internet of Things (IoT) technology, ubiquitous power data can be linked to the Internet and be analyzed for real-time monitoring requirements. Numerous power data would be accumulated to even Tera-byte level as the time goes. To approach a real-time power monitoring platform on them, an efficient and novel implementation techniques has been developed and formed to be the kernel material of this thesis. Based on the integration of multiple software subsystems in a layered manner, the proposed power-monitoring platform has been established and is composed of Ubuntu (as operating system), Hadoop (as storage subsystem), Hive (as data warehouse), and the Spark MLlib (as data analytics) from bottom to top. The generic power-data source is provided by the so-called smart meters equipped inside factories located in an enterprise practically. The data collection and storage are handled by the Hadoop subsystem and the data ingestion to Hive data warehouse is conducted by the Spark unit. On the aspect of system verification, under single-record query, these software modules: HiveQL and Impala SQL had been tested in terms of query-response efficiency. And for the performance exploration on the full-table query function. The relevant experiments have been conducted on the same software modules as well. The kernel contributions of this research work can be highlighted by two parts: the details of building an efficient real-time power-monitoring platform, and the relevant query-response efficiency for reference.
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation

Recent progress in neural machine translation (NMT) has made it possible to translate successfully between monolingual language pairs where large parallel data exist, with pre-trained models improving performance even further.Although there exists work on translating in code-mixed settings (where one of the pairs includes text from two or more languages), it is still unclear what recent success in NMT and language modeling exactly means for translating code-mixed text.We investigate one such context, namely MT from code-mixed Modern Standard Arabic and Egyptian Arabic (MSAEA) into English.We develop models under different conditions, employing both (i) standard end-to-end sequence-to-sequence (S2S) Transformers trained from scratch and (ii) pre-trained S2S language models (LMs).We are able to acquire reasonable performance using only MSA-EN parallel data with S2S models trained from scratch.We also find LMs fine-tuned on data from various Arabic dialects to help the MSAEA-EN task.Our work is in the context of the Shared Task on Machine Translation in Code-Switching.Our best model achieves 25.72 BLEU, placing us first on the official shared task evaluation for MSAEA-EN.
Barriers to the Growth of SMEs: Empirical Evidence from Algeria

Purpose: This paper aims to study the barriers to SMEs' growth by the typology of entrepreneurs in the Algerian context.Design/Methodology/Approach: We used the Ahmad and Hoffman model (2007) to determine the different blocking factors.The breakdown of these different barriers is divided into four types, internal barriers, micro external barriers, macro external barriers, and infrastructure barriers in a sample of 57 SMEs located in the Wilaya of Algiers.Findings: The results show that the leaders of Algerian SMEs are mainly of the leadership type favoring independence indefinitely, which constitutes a barrier to growth.There is also a significant link between growth and reinvested earnings, and SME managers reinvest little of this.In addition, SME managers perceive that external barriers influence the growth of their enterprises than internal barriers.Practical Implications: This study contributes to understanding barriers to SME growth by the typology of entrepreneurs in a particular context, which is Algeria.In practical terms, these results determine the barriers or constraints to the growth of our sample's industrial SMEs to allow an objective diagnosis for the main aspects.Originality/value: This article innovates a new research context and adds to the existing literature by presenting new evidence about the obstacles to the growth of SMEs.
Deep Neural Network Driven Speech Classification for Relevance Detection in Automatic Medical Documentation

The automation of medical documentation is a highly desirable process, especially as it could avert significant temporal and monetary expenses in healthcare. With the help of complex modelling and high computational capability, Automatic Speech Recognition (ASR) and deep learning have made several promising attempts to this end. However, a factor that significantly determines the efficiency of these systems is the volume of speech that is processed in each medical examination. In the course of this study, we found that over half of the speech, recorded during follow-up examinations of patients treated with Intra-Vitreal Injections, was not relevant for medical documentation. In this paper, we evaluate the application of Convolutional and Long Short-Term Memory (LSTM) neural networks for the development of a speech classification module aimed at identifying speech relevant for medical report generation. In this regard, various topology parameters are tested and the effect of the model performance on different speaker attributes is analyzed. The results indicate that Convolutional Neural Networks (CNNs) are more successful than LSTM networks, and achieve a validation accuracy of 92.41%. Furthermore, on evaluation of the robustness of the model to gender, accent and unknown speakers, the neural network generalized satisfactorily.
Comparative Analysis of Educational Programs for Training Social Pedagogues on the Example of Universities in Kazakhstan, Lithuania and Germany

Abstract. In the context of integration of national education systems into a single global educational space, the competency-based paradigm of education serves as the main for training competitive strategy specialists. The transition to competency-based educational standards of higher education involves the formation of students' professional competences for successful professional activity. The aim of the research is to study and analyse the experience of development of professional competences in the training of social pedagogues in Kazakhstan, Lithuania, and Germany. In this paper, the study and comparative analysis of the experience of forming professional competences in the training of social pedagogues in Kazakhstan, Lithuania and Germany are carried out. The research showed that during the period of study at the University in the specialty "Social pedagogy and self-cognition", it is necessary to introduce a competency-based approach aimed at the formation of professional competences for working in an inclusive education. As a result of the research, the nature and trends of training social pedagogues in three countries are identified, then general and special competences of social pedagogues are analysed; finally, the professional competences adopted by the world community are highlighted.
USE OF LEARNING MANAGEMENT SYSTEM ILIAS IN TEACHING TECHNOLOGIES FOR INTENDING TEACHERS OF SECONDARY AND VOCATIONAL EDUCATION

The purpose of the article is to substantiate the features of e-learning technologies of materials for intending teachers of secondary and vocational education through the use of available learning management system ILIAS.The web-based learning management system ILIAS is used to develop e-learning materials, manage and disseminate multimedia materials in an online educational environment. The ILIAS system is available, free of charge and designed to manage learning resources as part of integrated systems and e-learning. The independence of the international project ILIAS and its support by many European universities as well as IT organizations are the basis for use and development in the training of intending teachers of secondary and vocational education.While researching the given issue, we have used theoretical and empirical research methods, i.e. analysis and synthesis to clarify the basic concepts and categories of computer-based education; conceptual and comparative analysis of curricula and programs, psychological and pedagogical, scientific and methodical literature as well as the materials of scientific and practical conferences on the problem of research and advanced pedagogical experience, comparing traditional and computer-oriented approaches in teaching technology. We have also used the methods of identifying patterns and drawing conclusions on the given issue.The use of web-based management system ILIAS in the teaching of construction materials technology contributes to the formation of professional competencies of intending teachers of secondary and vocational education, manifested in the ability to integrate knowledge of different technologies, make sound technical decisions and implement them in virtual reality; selection of technological processes, planning, forecasting and evaluation of technology efficiency; perception of computer models of technological processes.
PENGARUH EDUKASI GIZI DENGAN MEDIA PUZZLE TERHADAP PENGETAHUAN DAN SIKAP TENTANG SAYUR DAN BUAH PADA ANAK SEKOLAH DASAR

Background: Consumption of vegetables and fruit among school age children is still low due to lack of knowledge and attitudes about vegetables and fruit. Nutrition education can be provided to increase knowledge and attitudes as early as possible. Nutrition education using puzzle media is expected to increase knowledge and form a positive attitude about vegetable and fruit consumption.Objective: To determine the effect of nutrition education using puzzle media towards knowledge and attitudes about vegetables and fruit in elementary school children.Methods: This was a quasi-experimental study with pretest-posttest control group design. Fourty elementary school children were divided into two groups. The treatment group received nutrition education using puzzle media and a control group received nutrition education without puzzle media. Knowledge and attitudes were assessed before and after the study based on scores. Data were analyzed using Paired T-Test and Independent Sample T-Test.Results: The average score od knowledge in the treatment group increase by 18.25 points and the control group scre increased by 12.25 points. The mean score of attitudes in the treatment group increased by 14.45 points and the control group (p=0.014) and the attitude scores between the treatment group and the control group (p=0.003)Conclusion: Nutrition education using puzzle media can increase knowledge and attitudes about vegetables and fruit in elementary school children.Keywords: Nutrition education; Puzzle media; Vegetable and fruit; Knowledge; Attitude.
Analisis Clustering Virus MERS-CoV Menggunakan Metode Spectral Clustering Dan Algoritma K-Means

&lt;p&gt;&lt;em&gt;The MERS-Cov virus has spread to other countries outside Saudi Arabia. This is because the MERS-CoV virus can mutate rapidly so it is feared that it could threaten public health and even world health. This virus develops and becomes an acute respiratory disease and the mortality rate reaches 30% among 536 cases. One way to classify the MERS-CoV virus is by grouping the DNA sequences of the MERS-CoV virus which have similar characteristics and functions. Spectral clustering is a grouping method that can identify DNA gene expression. This method is also able to partition DNA data with a more complex structure than the partition clustering method. The purpose of this study was to analyze the MERS-CoV virus clustering using the spectral clustering method and the k-means algorithm. This study used a quantitative descriptive literature approach. The results showed that the results of clustering using the spectral clustering method and the k-means algorithm produced three clusters and were more homogeneous than clustering using k-means only.&lt;/em&gt;&lt;/p&gt;
Quantum-safe Trust for Vehicles

In the automotive industry, cars now coming off assembly lines are sometimes referred to as "rolling data centers" in acknowledgment of all the entertainment and communications capabilities they contain. The fact that autonomous driving systems are also well along in development does nothing to allay concerns about security. Indeed, it would seem the stakes of automobile cybersecurity are about to become immeasurably higher just as some of the underpinnings of contemporary cybersecurity are rendered moot.
Pedagogical Approaches To Intercultural Competence Development

The volume generously provided by Cambridge Scholars Publishing in 2020 and edited by Christine E. Poteau entitled Pedagogical Approaches to Intercultural Competence Development is organized into seven chapters. Beyond the generic theme of interest under which they come together (Pedagogical Approaches to Intercultural Competence Development) and which gives unity to the volume, each chapter is a small universe in itself, unique, interesting, topical, and attractive as a perspective of approach, design, arguments, contents, applications, implications, bibliography. Therefore, the volume can be covered in full, as a holistic approach to the phenomenon, or by chapters, depending on the interest of the reader and his area of ​​expertise. In full agreement with the theme (and, as it were, to increase the diversity of perspectives), it is proposed as a volume that brings together contributions from different geographical and socio-cultural areas (Brazil, Hawaii, Israel, Japan, USA, Ukraine), to researchers and educators with backgrounds in various fields, concerned with the same major problem (enhancing pedagogical approaches and expanding intercultural competence skill development) and finding solutions that, beyond their immediate focus can allow the emergence of suggestions with a higher degree of applicability or generation of explanatory models. That is why, although the analyses are focused on different specific aspects of the problem (in each chapter), the perspective of approach/solution is one that rises towards the global, in which the answers and proposals of the authors are related to the interdisciplinary approach (e.g.: the need to globalize curricula and identify diverse pedagogical challenges in the development of intercultural competence). One of the effects aimed at following this journalistic approach refers precisely to the development of initiatives across fields of experiential learning and the initiation of cooperation programs for a stronger global community.
Reform of "3+3 Promotion" Teaching Model Based on CDIO -- Taking the Course of "Business English Correspondence" as an Example

According to the characteristics of vocational students’ limited knowledge of English and poor learning initiative and the English correspondence courses of foreign trade, it is necessary to propose teaching model reform based on the review of existing teaching reforms. Based on the CDIO concept, the "3+3 Promotion" teaching model reform is conducted. The questionnaire feedback indicates that students have improved their basic abilities, being more willing to participate in the classroom. Through school-enterprise cooperation, students and enterprises has a win-win situation. Students are satisfied with the overall evaluation of the classroom. Meanwhile, the teachers’ professional abilities have been improved. Enterprise resources also need to be further expanded; a conclusion is drawn that the reform of teaching mode is effective and that it is feasible for enterprises to participate in the teaching process.
Procedural generation of problems for elementary math education

Mathematics education plays an essential role in children’s development, and there are many online applications aimed at supporting this process. However, manually creating math problems with a variety of textual and visual content is very time-consuming and expensive. This article presents a generic approach for procedural generation of mathematical problems, including their corresponding textual representations. The content generation process consists of two phases: abstract math problem generation and text generation. For the generation of abstract math problems, we propose a generic template-based method that operates across a variety of difficulty-levels and domains, including arithmetic, comparison, ordering, mathematical relationships, measurement, and geometry. Subsequently, we propose a multi-language adaptive textual content generation pipeline to realize the generated abstract math problems into semantically coherent text questions in natural language. A workflow time gain evaluation shows that the system yields an average time saving of 56%. Further, human expert evaluation of this approach indicates that the content it generates is sensible and solvable for primary school students.