Reviewerly/exHarmony huggingface dataset:
The development of the dialogic culture as a “centaur problem” of the professionalization of the future educators

The article deals with the analysis of the problem of developing the dialogic culture of the future educators in terms of their professionalization. The author has shown that the congruent coverage of the specifics of forming an individual as an entity of professional activity in the continuum of the modern culture can be carried out only within the dialogic mode. It has been found that de-valuing the psychological component and accumulating systems of algorithmic tasks of the test type in the practice of the professional training makes it impossible to develop the communicative (and especially dialogic) culture of a specialist. The dialogic culture is interpreted by the author as an integrative construct of an individual, i.e. a set of communicative and technological indicators of the systemic behaviour (and professional-role one in particular) of the activity entity. The empirical research procedure had as its objective to outline the psychological tendencies in the development of the indicators for the communicative culture of the professionalization entities (bachelor degree and master degree students) in the modern educational space. The dominance of the monologic model of communication in the respondents’ behavioural scenarios and the absence of the self-management development dynamics in communication have been statistically corroborated. The findings of the research are interpreted as the theoretical foundation of a modern model for the dialog-phenomenological interaction that is adequate to the new challenges of the time and the educational reform principles.
EDUCATIONAL PRACTICES FOR IDENTITY PRESERVATION ON THE EXAMPLE OF THE BULGARIAN DIASPORA

V. Dobreva, S. Denchev, I. Yankova, B. BuzhashkaUniversity of Librarian Studies and Information Technologies (BULGARIA)
Smart voting system with fingerprint scanner

Voting determines the fate of the entire system. The voting system used nowadays is not very secure. Fingerprint is an important and unique identity of the user as no two persons have the same fingerprint. Thus Fingerprint Voting System becomes a very secure voting system. In this system, the database contains information of all the voters. New voters should fill a registration form with the help of a user id and password and enroll their fingerprint. This information will be checked with the database server. If the voter is already present, then it gives an error message saying voter already enrolled. Since all the information about the voter is already present, the system will not allow the voter to poll his or her vote if there occurs an error during the authentication process. This system is helpful to the voters as it decreases the time of voting process. Voters need not stand in long queues anymore. Fingerprint Voting System is user-friendly. It has simple architecture and responds quickly. It is easy to carry to polling center from the polling box. It reduces the number of staffs working in the center. It provides easy and accurate counting without any troubles.
The Pedagogical Encouragement of Self-Regulation Applying PMM during the Activities

Performing for an audience is one of the most widely spread forms of social anxiety which affects many people, and fear is one of the most important causes of unsuccessful performance on stage.A university studenta future music teacherexperiences what it is like being in front of an audience and to feeling emotional strain.The aim of this research is to explore the ways which encourage students to feel better in front of an audience.Is it possible to overcome significant stage fright by having knowledge of psychological self-regulation?This article discloses the modelling of concert rehearsal tasks during individual lessons applying the personal meaning method (PMM): creating favourable preconditions to optimize the state of mind while on stage; strengthening the artistic suggestion of public performance of future teachers; positively influencing the learning motivation of students.Observation helped to analyze more deeply the behaviour of students and their activity in the process of training, comparing these dimensions with respective changes during public performances.PMM training verifying case method of analysis in the context of possibilities revealed the conditions of future music teachers' regulation of emotions while on stage, ways and the peculiarities of pedagogical encouragement.
TOWARDS ENHANCEMENT OF THE QUALITY OF EDUCATION THROUGH INNOVATIVE USE OF DIGITAL CULTURAL ECOSYSTEMS

D. Paneva-Marinova1, L. Pavlova2, M. Goynov1, R. Pavlov1, L. Draganov1 1Institute of Mathematics and Informatics, Bulgarian Academy of Sciences (BULGARIA) 2Laboratory of Telematics, Bulgarian Academy of Sciences (BULGARIA)
STAGES OF SCIENTIFIC RESEARCH MASTERS TECHNICAL DIRECTIONS FOR PREPARATION

The main stages of scientific research necessary in the performance of research&#x0D; work of undergraduates.
Sign Features of Audial Thinking

The paper aims to analyse specificity of sound as an element of audial thinking and to show how it differs from sound as a physical phenomenon. Since features of audial thinking manifest themselves in sign systems, the research objective includes identifying how the process of audial thinking is objectified in the sign form. It is shown that meaningful filling is possible only within a certain structure, the primary element of which is intonation complex. The findings indicate that musical creativity represented by signs forms and transforms audial mental structures, i.e. the musical mental image is generated simultaneously with the creation of intentional objects and intonation complexes in the process of form-generation and transforms simultaneously with this process.
AN APPROACH TO THE TIMELY CLASSIFICATION OF STUDENTS THROUGH THE EDUCATIONAL PROCESS IN A SPECIFIC VIRTUAL LEARNING ENVIRONMENT

Through the new technologies the education process is also an emerging field of science, which is rapidly growing. Thanks to the innovative technologies the educational process serves as a significant part of the lifelong learning. Essential feature to come the best effort is the implementation of a specific systems.At present, the education could be described as a systematic continuous process, that predestines successful enforcement on the market. Due to the rapid growth and popularity of the internet technologies in higher education we identified a tremendous demand to implement supporting tools for that purpose. The electronic form of education through the internet technologies is characterized by the organization and the access to the entire learning process.In our research we are focusing on a concrete Virtual Learning Environment, which is implemented as a supporting system for the education. In our article we are handling with the term e-learning, which refers to a set of instructions that is delivered through electronic media. E-learning also predetermines the use of the available information and communication technologies where the users can individually access to any kind of available learning materials. The main influence of this kind of way is the access to the materials can be provided anytime and from anywhere.Our goal is to make the educational process more effective and more useful for the students. Mainly the best feedback of the effectiveness is the final result from the taught subject. Primarily we are focusing to identify and classify students during the defined term in the learning environment. Chiefly our article handles to create an analytical support tool for the teacher. We hope thanks to this analytical support we will easily identify students who are struggling with the subject during the entire learning process.The concrete system as an appliance for the education is Moodle, which is a widely known open-source learning platform. In most cases teachers need to have a complex overview over the recorded data by the system. We are working with this fact to provide teachers a good basic criterion to the subsequential evaluation. Further benefit for this kind of solution is to measure the course efficiency. Under the measurement we can include attributes like the repletion of the course. Our basic classification values and criteria are the number of clicking on the course activities and the overall spent time in the course. The classifications of students into separated groups, will be provided through the statistical methods. The principal goal of our article is to develop and implement all the aforementioned proposals in the implemented Moodle environment as an extended module.
TRAINING LECTURERS TO USE ONLINE COURSES AND COMPUTER TESTS IN THEIR WORK

V. Nardyuzhev1, I. Nardyuzhev2, V. Marfina1, I. Kurinin1 1RUDN University (RUSSIAN FEDERATION) 2Avtomir Premier LLC (RUSSIAN FEDERATION)
On Adaptive Attacks against Jao-Urbanik's Isogeny-Based Protocol.

The k-SIDH protocol is a static-static isogeny-based key agreement protocol. At Mathcrypt 2018, Jao and Urbanik introduced a variant of this protocol which uses non-scalar automorphisms of special elliptic curves to improve its efficiency.
THE IMPACTS OF BULLYING EXPERIENCED BY DAELYN RICE IN THE NOVEL “BY THE TIME YOU READ THIS I’LL BE DEAD”

This research is about the impacts of bullying in Julie Anne Peters’s novel entitled By The Time You Read This I’ll be Dead. The purposes of this research are to identify the kinds of bullying and investigate the impacts of bullying experienced by the main character, Daelyn Rice. Researcher used qualitative methods. Researcher used two data sources: primary and secondary. Primary data is By The Time You Read This I’ll be Dead novel by Julie Anne Peters. The sources of secondary data are taken from other sources related the research, such as website, dictionary, and some books which support this research. The results of this research show: 1) Daelyn Rice has three kinds of bullying experienced, that are: Physical bullying, Verbal bullying, and Psychological or Social bullying. 2) Daelyn Rice has four impacts of bullying experienced, that are: Academic impact, Social impact, Psychological impact and Physical impact.
REGULATION, HIGHER EDUCATION AND ARTIFICIAL INTELLIGENCE: THE MODEL OF 'DYNAMIC INTELLIGENCE CULTURE OF EDUCATION' (D.I.C.E.)

Personalized educational systems, Artificial intelligence and online global courses are challenging our traditional higher education ecosystem. Artificial Intelligence (AI) is the next impending revolution that will be about given students and academics new knowledge opportunities. Nowadays there are few people maybe not in contact with any multifunctional info-com devices i.e. info-com PC, smartphones, tablets, etc.. According to Dirk Helbing (et al), it is estimated that in 10 years’ time there will be 150 billion networked measuring sensors, 20 times more than people on Earth. According to the latest McKinsey Global Survey on the subject show a nearly 25 percent year-over-year increase in the use of AI in standard business processes, with a sizable jump from the past year in companies using AI across multiple areas of their business. According to Gartner the total number of connected devices will be more than 20 billion by 2020 as the ‘internet of things’ and artificial intelligence become a reality. By 2030, most of the devices and things around us, possibly even our clothing, also will be connected with the cyberspace. Therefore it is necessary to incorporate these improvements in the educational field due to the domination of digital technology in our social, economic and cultural ecosystems. AI and algorithmic culture are trends of historical importance in our educational systems and democracy. But it also presents important questions for anyone interested in the future of education and cultural skills. The paper introduces the 'Dynamic Intelligence Culture of Education' (D.I.C.E) as the innovative model to analyze an education system at local and global levels by developing a ‘Personalized Education Content Algorithm’ (P.E.C.A) and cultural management philosophy in our global distanced learning ecosystem. The model D.I.C.E is a useful methodological tool to develop an artificial intelligence mechanism in distance learning education platforms by using a content algorithm (P.E.C.A) for introducing smart personalized education methodologies. Finally, we introduce a new human-centered intelligence philosophy and culture in our higher education which is focusing on creating 'Intelligent Cultural Skills' to students.
ELECTRONIC LEARNING USING AN E-BOOK IN NEUROREHABILITATION AND NEUROERGOTHERAPY FOR MEDICAL SPECIALISTS AND HEALTH PROFESSIONALS, MEMBERS OF THE MULTI-DISCIPLINARY NEUROREHABILITATION TEAM

Information about the paper titled "ELECTRONIC LEARNING USING AN E-BOOK IN NEUROREHABILITATION AND NEUROERGOTHERAPY FOR MEDICAL SPECIALISTS AND HEALTH PROFESSIONALS, MEMBERS OF THE MULTI-DISCIPLINARY NEUROREHABILITATION TEAM" at IATED Digital Library
THE USE OF A FREE GAME APP TO PRACTICE ENGLISH OUTSIDE THE CLASSROOM IN A PUBLIC UNIVERSITY IN ECUADOR DUE TO A LACK OF TECHNOLOGICAL CLASSROOM RESOURCES

Information about the paper titled "THE USE OF A FREE GAME APP TO PRACTICE ENGLISH OUTSIDE THE CLASSROOM IN A PUBLIC UNIVERSITY IN ECUADOR DUE TO A LACK OF TECHNOLOGICAL CLASSROOM RESOURCES" at IATED Digital Library
DEVELOPMENT OF MEASURING INSTRUMENTS BASED ON ARDUINO PLATFORM AND PYTHON PROGRAMMING LANGUAGE

An example of an implementation of a data collection system based on the Arduino&#x0D; platform and the Python programming language is considered. These systems can be used to&#x0D; automate long-term multiple measurements, as well as subsequent processing of the results of these&#x0D; measurements. Similar systems can find application in young scientists, masters and post-graduate&#x0D; students in their research work while experimentally testing the developed mathematical models and&#x0D; theories.
Conflicts Interest of Knowledge: Idialistic Tacit Vs Explicit Private

Knowledge management is the main focus of discussion academics (researchers) and is used by practitioners to improve performance. The rapid development of the business world has an impact on the demands of research development, tacit knowledge is forced to be made explicit in order to meet market needs. Knowledge shifts from academia to the market (practical), the success of knowledge is measured by its performance. Design / methodology / approach - Following a mixed methods approach, the authors review relevant literature at the intersection of knowledge management, tacit knowledge, explicit knowledge and performance. Double membership as lecturers and practitioners, causes conflicts of interest, lecturers who should maintain the ideal of thinking and research results for knowledge on the other hand as practitioners (company research teams) who are asked what about the company's research results are more competitive. There is a conflict of interests of lecturers referred to as industrial intellectual profits.
A Collective Learning Framework to Boost GNN Expressiveness

Graph Neural Networks (GNNs) have recently been used for node and graph classification tasks with great success, but GNNs model dependencies among the attributes of nearby neighboring nodes rather than dependencies among observed node labels. In this work, we consider the task of inductive node classification using GNNs in supervised and semi-supervised settings, with the goal of incorporating label dependencies. Because current GNNs are not universal (i.e., most-expressive) graph representations, we propose a general collective learning approach to increase the representation power of any existing GNN. Our framework combines ideas from collective classification with self-supervised learning, and uses a Monte Carlo approach to sampling embeddings for inductive learning across graphs. We evaluate performance on five real-world network datasets and demonstrate consistent, significant improvement in node classification accuracy, for a variety of state-of-the-art GNNs.
IMPROVEMENT OF THE EVALUATION RESULTS IN A PROGRAMMING SUBJECT WITH A HIGH NUMBER OF STUDENTS

New technologies have made a difference between traditional learning and technological-based learning. It is common to see interactive whiteboards, laptops or even smartphones in classrooms to offer new opportunities and innovative ways of learn. One of them is the use of virtual campus that offers new ways to evaluate students’ performance throughout the semester. In this study, a complete scheme of assessment based on rubrics and assessment guides trough Moodle is proposed. The experiment was carried out in a subject of the first year of the Computer Science degree, which has a high number of students. In addition, the students were surveyed to track their satisfaction levels with the changes on the subject.In order to assure that each student acquires the required competences in Computer Programming, they also received feedback on their assignment in each session. In this way, the students could follow extra advices by lecturers to improve their assignments and revaluate them. So, acquaintance of competences is guaranteed if they have interest to keep learning.Leading technologies like Data Mining on Sentiment Analysis were tested to analyse student’s satisfaction levels with the new assessment way. It was important to care about their feelings to perform any changes if they were necessary, to adjust the method. A reorganization of subject’s contents was performed at the same time, so this sentiment analysis was crucial in order to check if these changes were relevant to those who failed to pass the exam.Surveys for Sentiment Analysis allowed to research student’s opinion in a polarity range [-1,1] where -1 indicates an awful opinion and 1 a great opinion. The algorithm evaluates each word with a value, so each sentence have a value that is calculated as the conjunction of all words. In consequence, adjectives have much more weight in the final result. This technique was applied to each student’s answers to each item of the surveys, in order to obtain the polarity. These data was gathered and treated with statistical techniques following a suitable methodology. The results showed that the students were satisfied with the new ways of assessment and with the continuous feedback.Overall, it may be said that this Innovation Project has allowed to significantly increase students results and their satisfaction level with lectureres work. New technologies can help improve these thrilling results, so development of a smartphone application as a tool to automate the assessment process will be considered.
INTERNET AS AN EFFECTIVE LINGUODIDACTIC SOURCE: GENERAL REVIEW

inteRnet aS an effective Linguodidactic SouRce: geneRaL Review Summary.This article deals with the Internet resources that can be used for effective learning and teaching English.Nowadays, modern technologies have already become an inseparable part of the pupils and students' reality.They use them everywhere preferably for communication and playing games but not for learning or strengthening knowledge.So teachers are able to recommend their students to deal with these devices in studying for practicing new vocabulary, fastening grammatical rules, and developing listening abilities.In the article we offer the sites where both students and teachers may find out creative and catching exercises, brain games, and the other marvelous activities.They all should make the process of studying grammar, phonetics and vocabulary faster, more interesting, and more modern.The sites presented in the paper have been tested for a long time at group and individual English lessons.And we have got positive outcome.All the resources given here are free and easy-to-use.The paper not only enumerates the handy services but also describes their operating peculiarities, gives practical advices how to use their tests and exercises, what skills to train on each site and with which tasks.We pointed out even the age levels of the students whom those services are suitable to.Selected resources are divided due to the skills they are oriented to develop or fasten.For reinforcing English words and word combinations www.vocabulary.com,www.freerice.comare recommended to use.To fasten knowledge of English grammar it is preferable to deal with www.e-grammar.org.But it is not for those who have elementary knowledge of English.To deal with it a student should be at least at the secondary language level.And www.esl-lab.com,www.eslfast.com,www.lyricstraining.com,www.listenaminute.com,www.dailyesl.comare suited for training listening skills and language understanding.If you are eager to make your own flashcards with particular vocabulary or grammar
METHOD OF NEURAL NETWORK ANALYSIS OF VOICE SIGNAL

The article is devoted to increase of efficiency of the means of analysis of biometric characteristics of subjects, interacting with information-control systems of various purpose. It is shown that from the standpoint of the possibility of using as a sensor the reading of the biometric parameters of the standard peripheral equipment of the computer, the widespread use in the information-control systems of voice messages, their high informativeness, the complexity of falsification of biometric information, as well as the possibility of carrying out hidden monitoring, the prospects have analysis tools voice signal. The necessity of improvement of methodology of neural network analysis of voice signal for recognition of emotions and person is grounded. Possibility of increase of efficiency of neural network means of analysis due to adaptation of parameters of neural network model to the conditions of use is determined. The principles of determination of valid neural network models and the most effective type of neural network model used for voice signal analysis have been formed. A coding procedure for the input signal is developed, which allows to use in the neural network a compact representation of the most informative features of a voice signal. A procedure for encoding a neural network output signal has also been developed to increase the efficiency of its learning. The method of neural network analysis of the voice signal is developed, which due to the offered principles of adaptation and procedures of coding of input and output parameters, allows to introduce into neural means a neural network whose architecture is adapted to the expected conditions of use. The effectiveness of the proposed method has been proven experimentally. Experimental studies have shown that the use of the developed method allows to ensure the accuracy of recognition of emotions of the identified speaker, which is approximately 0.94, which corresponds to the best modern decisions in this field. It is suggested to correlate the ways of further research with the development of solutions that would allow to analyze the voice signal of arbitrary duration under the conditions of noise of different kind.
Space-Based Data Expand Understanding of Crustal Deformation

Researchers used the largest GPS data set yet to examine deformation of the crust across continental China and its implications for tectonic activity.