Reviewerly/exHarmony huggingface dataset:
Model of an automated system for assessing the effectiveness of the activity of heads of educational institutions of the city of Nizhny Novgorod

Introduction. The problem of the personnel assessment procedure for educational organizations is becoming increasingly relevant along with the growing importance of such factors as competence, efficiency and staff loyalty in the face of constant changes and resource constraints in the industry. The search for new approaches and tools for assessing the activities of workers is determined by the need to formulate individual decisions on the development and motivation of personnel in educational organizations and to intensify the digitalization of all processes. Materials and Methods. The article describes a model for evaluating the performance of senior executives of educational organizations, formulates approaches to the procedure for evaluating the performance of leaders of educational organizations, describes the methodology for creating the model, reveals the main elements of the model, provides a description of the methodology for a comprehensive assessment of the performance of leaders of educational organizations at the municipal level, based on quality indicators performing various aspects of the work of the leader. Results. The article presents the main evaluation blocks of the model of an automated system for evaluating the effectiveness of the activity of the heads of educational institutions in the Nizhny Novgorod, and gives a description of each module. Discussion and Conclusions. According to the results of the model formation, proposals are made on the practical implementation of the model in relation to educational organizations of general, preschool and additional education in the Nizhny Novgorod, recommendations on the development of the system with the aim of forming an information and educational complex that ensures the successful certification of senior officials of educational organizations at the municipal level. Based on the results of the work done, it is concluded that the proposed model can be used for heads of educational organizations of other municipalities. The practical implementation of evaluating the performance of leaders of educational institutions on the basis of the proposed model helps to optimize the assessment process, as well as training and development of executive personnel, ensures the growth of performance indicators of executive personnel, as well as improving the incentive and motivation system for staff as a key factor in managing staff careers.
"Nootheca": Point-Rating System + Design, or Revisiting the Issue of Transition from Quantitative to Qualitative Measurements of Knowledge, Skills, and Abilities

The present paper introduces an authentic new-format point-rating system, the nootheca. It is based on the idea of a self-organizing educational process, where the quantitative measurement of the results acts as an incentive for collective and individual self-organization and organizes the educational process. The paper focuses on the components of nootheca, which form an integral didactic system. The system combines design and cumulative principles of classroom management. The author describes the technological aspects of the nootheca against a wider didactic context. This refers to both the theoretical context and the practice of constructing such systems, primarily the options they offer within the point-rating system. The research was not limited to the didactic aspect alone: it also included issues related to the measurement of quality in other areas of intellectual and cultural activity. In some cases, the study touched upon methodology and philosophy of education. As for the latter, the problems discussed are organically included in the general antinomies, e.g. quality vs. quantity as philosophical categories; part vs. whole; single / special vs. universal, etc. The specific didactic antinomies include the following antinomies: personality-oriented vs. team-oriented learning, knowledge-centered approach vs. skill-centered approach, etc. The antinomies form specific oppositions that are directly related to the topic of nootheca: online vs. offline classes, horizontal vs. vertical peer review, individual vs. group motivation, etc.
Satisfaction with Professional Training of Graduates of Educational Institutions of the Ministry of Internal Affairs of Russia

Rationale and relevance: the collection and analysis of objective information about the success service graduates institutional schools at the initial stage of professionalization allows you to define promising directions in system of professional training of employees of law-enforcement field and to adjust the educational process in accordance with the needs of operational activities. Objective: to study the satisfaction with the quality of educational services by their consumers (graduates) and employers (managers). The research method is a questionnaire survey of managers and graduates, including four sections. The first section assessed the readiness of graduates to carry out professional activities. The second section assessed the General cultural, business and personal qualities of graduates. The third and fourth sections identified shortcomings and advantages in the training of specialists. the article describes the results of a survey of managers and graduates regarding satisfaction with the quality of educational training. Description of research procedure and sampling: the survey was conducted a year after graduation from educational organizations, it took part 319 of the heads of the expert, investigative and operational units of the Moi of Russia in Volgograd region and 348 graduates of the Volgograd Academy of the MIA of Russia. Among 204 interviewees and evaluate the graduate of the specialty "Legal national security", 53 "Judicial expertise" and 91 "law Enforcement" 2008–2012 set. Results of the study: a high level of professional training was revealed in 59% of graduates of police operatives, 61% — investigators, 60% — experts. The average level of training by mentors was observed in 39% who graduated from the Academy with a degree in "Forensic examination", "Legal support of national security" and 40% — "law Enforcement". The results of the comparative analysis of the expert evaluation of managers and self-assessment showed that graduates are able to adequately assess the level of formation of the necessary competencies. This conclusion is confirmed by the results of the correlation analysis (the lowest correlation coefficient was 0.55). In conclusion, taking into account the results indicated the need for a systematic analysis of the effectiveness of educational and psychological training, the effectiveness of professional activities of graduates of educational institutions of the Ministry of internal Affairs of Russia.
Application of Fuzzy Multi-Cascade Control During Modeling of Universal Non-Linearity Compensator

Most often, the automatic control systems include one non-linear element or population of the non-linear elements. Presence of these elements, not attributable to the control object and occurring in the systems in certain cases, may affect the quality of control. This is manifested in increasing control error, increasing duration of transient process, loss in system stability, occurrence of self-oscillation regimes. Therefore, the adverse effect of the non-linear elements shall me eliminated in order to improve the control quality. The article describes the use of system of compensating generators, which introduce an auxiliary (compensating) deviation control signal. The paper considers the use of intelligent control system, which allows reduction of control error by using the fuzzy logic compensators. A multi-cascade control system as well as methods of compensation of non-linear elements occurring in the automatic control systems are shown.
PENGEMBANGAN MEDIA PEMBELAJARAN ELECRONIC BOOK (E-BOOK) BERBASIS EDMODO KELAS X SMK KARTIKATAMA METRO

Learning Media is one of the most important components of education for teachers and students in the learning process. So we need learning media that can be used and studied at any time for all students but also follows the development of technology. Based on these problems the learning media in the form of books used by students namely Edmodo-based E-books can be used for alternative solutions to existing problems. The aim of this development is to produce a valid and practical e-book.The Development Model used by the ADDIE model consists of 5 stages (Analysis, Design, Development, Implementation, and Evaluation). The results showed that edmodo-based e-books are valid for use in the learning process. The results of validation by media experts with 88% criteria are very valid, material experts with 86% criteria are very valid. The results of edmodo-based e-book products testing to students with a percentage of 86% criteria are very practical, this shows that the e-book can already be used as a medium of accounting learning. Based on the recapitulation, it can be concluded that e-book based on Edmodo is a valid and practical learning media in the learning process. Keywords: E-Book, Edmodo, Learning Media
APPLICATION OF NON-RELATIONAL DATABASES IN THE SOCIAL NETWORKS

The purpose of this research is to present knowledge in the field of work of databases that contain semi-structured data, also known as NoSQL, in applications using big data.The characteristics of the main categories of the non-relational databases and some of their typical representatives (MongoDB, Redis) have been reviewed from the point of view of using them for storage and analysis of data in the social networks.The article presents a study, conducted on the already existing research in regards to the implementation of the non-relational databases in the social networks.Some of the perspectives of the future research are outlined as well.
Problem-based learning on English for food and beverage operation subject course

This study aims to describe President Jokowi's rhetorical strategies during the 2019 campaign on Instagram and its consistency with the rhetorical strategy as president. Rhetoric is not just a speech strategy, not a speech that tends to lie to manipulate or control people, and not talk much without action. Because of political competition, it can be concluded that the use of words and sentences (syntax) as rhetorical strategies also compete in building a positive image. Syntactic analysis was conducted to describe the categories of use of words and sentences as a rhetorical strategy to build a positive image. The method used was content analysis of 508 Instagram posts during the campaign period. Social media is a new innovation in spreading messages of rhetoric in the form of words and sentences more quickly and easily accessing them. The interview method was also conducted on President Jokowi's communication team to find out how these rhetorical strategies were carried out in order to proof the consistency between rhetorical strategies during campaigns and rhetorical strategies as a President. The results of this study confirm that not all rhetorical strategies are used, but, only the use of positive rhetorics to build positive image. Syntactic analysis shows that Jokowi-Amin does not use negative words and sentences. Not all rhetorical strategies for building imagery are displayed on Instagram, namely @ jokowi.amin does not use intimidation and self-depreciation strategies. The interviews also display that the rhetoric strategies during campains are consistent with the president’s strategies.
Academic Mobility at Siberian Federal University

The article provides a theoretical analysis of the concept of "academic mobility" and focuses on the components of academic mobility of students at Siberian Federal University. The authors analyzed the documents that regulate academic exchange at Siberian Federal University. The paper summarizes pedagogical studies of problems experienced by Russian and foreign students, both participating and not participating in academic mobility programs. The paper introduces a questionnaire for the ascertaining experiment and its analysis. The theoretical and experimental analysis revealed the main difficulties faced by Russian and foreign Erasmus students. It also checked their awareness of various academic mobility programs and opportunities. Based on the results obtained, the authors developed recommendations that will help program managers to improve the implementation of academic exchange programs and their promotion.
An autonomous navigation method for mobile robot based on ROS

In order to solve the problem of autonomous localization and navigation caused by the loss of the position information of the mobile robot in a complex environment, a method for autonomous navigation of a mobile robot based on ROS is proposed in this paper. The ROS platform is used to avoid the problems of code redundancy, poor portability and so on. In this method, firstly, Monte Carlo algorithm is used to realize the autonomous localization of the robot, raster map is constructed with lidar data, and the concept of raster occupancy is introduced to reduce the influence of sensor noise. Then an improved ant colony algorithm is proposed for global path planning to realize autonomous navigation of the robot. At the end of this paper, the robot control system is combined with ROS navigation system for map construction and autonomous navigation experiments. The experimental results show that the improved ant colony algorithm can effectively shorten the number of iterations, reduce the number of iterations by 38%, improve the adaptability to the environment, facilitate the fast finding of the shortest path, and accurately realize the autonomous navigation task of the robot.
PAGAN: Platform for Audiovisual General-purpose ANnotation

This paper presents an online platform, named PAGAN, for crowdsourcing affect annotations. The platform provides researchers with an easy-access solution for labelling any type of audiovisual content. The tool currently features an annotator interface, which offers three different time-continuous, dimensional annotation tools. PAGAN aims to serve as a free online platform for crowdsourcing large affective corpora-required from data-hungry machine learning methods for modelling affect-through a publicly available webpage, which is easy to share and use by participants.
Outfit Helper: A Dialogue-Based System for Solving the Problem of Outfit Matching

With the development of artificial intelligence in recent decades, intelligent algorithms such as visual recognition and natural language processing have affected and will continue to affect our lives.A smart device designed to help people make wise decisions on dress through dialogue would be a very convenient tool.By using a color extraction algorithm and natural language processing methods, we have built an outfit planning chatbot, named Outfit Helper, that can help male users decide what to wear in order to dress well.According to our study, most users think that the Outfit Helper is a good choice for solving the clothing matching problem.This study shows that our lives can become much easier by developing and using artificial intelligence to help us choose our clothing.
Automatic Tsunami Early Warning System Based on Open Data of Indonesia Agency for Meteorological, Climatological, and Geophysics

Abstract Indonesia frequently experiences earthquakes and tsunami since Indonesia is geologically located in the ring of fire and sits along three major tectonic plates of the world thus this natural phenomena have the potential to continuously occur for example a notable tsunami that hit Aceh in 2004 and killed 160,000 people. This condition is not yet supported by adequate means of disaster mitigation and a tsunami early warning system. The objective of this study was to create an automatic tsunami early warning system that utilizes tsunami potential data from the Indonesian Agency for Meteorological, Climatological and Geophysics’ website to be conveyed through loudspeakers in places of worship whose area will be affected by the tsunami. This study used the Research and Development (RnD) method with the ADDIE (Analyze, Design, Development, Implementation and Evaluate) procedure. This study developed a tsunami early warning system that works effectively with a fast average response time of 13.48 seconds to download tsunami potential information on the BMKG website and proceed it to trigger the loudspeaker at places of worship.
A New High Capacity and Reversible Data Hiding Technique for Images

The growth in the internet has paved the way for an increase in digital communication. Cryptography and data hiding provide security of the data being communicated. In cryptography, the fact that the information is hidden is not concealed, whereas, in data hiding, it is hard to tell if a cover media contains embedded information. Data hiding can be used for covert communication, or to embed extra information about the image. Often the original cover image cannot be restored once the embedded data has been extracted. However, for certain applications like those belonging to medical and military, the data hiding process cannot distort the cover image. Medical images contain important diagnostic information, and military images serve some legal purpose. Any change in these images can lead to negative consequences. Therefore, a data hiding mechanism is needed for applications in which both the image as well as the data being hidden are important to hide data in such a way which will enable the extraction of embedded data and also restore the original image. Reversible data hiding (RDH) techniques have been proposed to embed data in such sensitive images. In this paper, we discuss a histogram shifting based two pass RDH scheme. Experimental results illustrate that the proposed technique, other than being reversible provides fairly high quality marked image along with high embedding capacity.
Transferring Optimality Across Data Distributions via Homotopy Methods

Homotopy methods, also known as continuation methods, are a powerful mathematical tool to efficiently solve various problems in numerical analysis, including complex non-convex optimization problems where no or only little prior knowledge regarding the localization of the solutions is available. In this work, we propose a novel homotopy-based numerical method that can be used to transfer knowledge regarding the localization of an optimum across different task distributions in deep learning applications. We validate the proposed methodology with some empirical evaluations in the regression and classification scenarios, where it shows that superior numerical performance can be achieved in popular deep learning benchmarks, i.e. FashionMNIST, CIFAR-10, and draw connections with the widely used fine-tuning heuristic. In addition, we give more insights on the properties of a general homotopy method when used in combination with Stochastic Gradient Descent by conducting a theoretical analysis in a simplified setting.
Efficient learning of Output Tier-based Strictly 2-Local functions

This paper characterizes the Output Tier-based Strictly k-Local (OTSL k ) class of string-tostring functions, which are relevant for modeling long-distance phonological processes as input-output maps.After showing that any OTSL k function can be learned when k and the tier are given, we present a new algorithm that induces the tier itself when k = 2 and provably learns any total OTSL 2 function in polynomial time and data-the first such learner for any class of tier-based functions.
Self-reflection technologies to design the developmental environment for the professional formation of sports teachers

The significance of this article lies in the fact that the problem of modifying the forms, methods and means of implementing the content of education, training and retraining of personnel for the sphere of physical education, sports and tourism always comes first among other pedagogical problems.To improve the educational process and, specifically, educational activities is an essential objective of all the system of education.The article presents the results of a study of the role, place and function of self-reflection in educational activities, as well as in the formation of a sports teacher's professional thinking based on self-reflective culture of solving professional problems.Based on the logical-substantive analysis, the article shows that the mechanism of self-reflective thinking is mandatory for the formation of the methodological culture of future specialists' professional thinking in the implementation of the curriculum content of physical education universities; it has been proved that activation of self-reflection during training leads to the fact that the learner makes his own activity as the object of his influence, he begins to purposefully change, improve or rebuild it.In addition, the article substantiates that the modern practice of education, training and retraining of personnel for the field of physical education, sports and tourism requires constant creative improvement of the teaching staff of higher education, which provides solutions to modern educational problems, the resolution of which will prepare competitive specialists for the open labour market; the analysis of a great number of scientific literature sources shows that psych didactics of developmental education should be based on activation of self-reflection, as a special way and means of forming self-reflective culture of sports teachers; the introduction of self-reflection in the educational process determines the improvement of the methodological culture and the personal inclusion of students, which undoubtedly leads to an increase in their professional competence.
WiP: Security Enhanced Size Invariant Visual Cryptography with Perfect Reconstruction of White Pixels

Visual Cryptography is an image encryption technique which reconstructs the image using human visual system. Presently used size invariant visual cryptography schemes (VCS) does not preserves both security and contrast conditions. In this paper we proposed a new method for size invariant block wise encoding VCS based on perfect reconstruction of white pixels which provides perfect security and retains the contrast. Here we have discussed an outline of size invariant VCS based on random basis column pixel expansion, block wise encoding and random basis VCS with perfect reconstruction of white pixels (PRWP) which have been demonstrated based on various research studies. We have also discussed the demerits of the existing models and made an experimental analysis between previous models and the proposed model. From the analysis we proved that the proposed method enhances the security and maintain the contrast.