Reviewerly/exHarmony huggingface dataset:
Creation and Development of Comfortable Information Environment of Science at the University: Library Contribution

The objective of the study was identification of essential characteristics of a comfortable information environment of science and determining the role of the University library in its creation and development. Methods. The information base of the research consists of the publications of researchers and specialists on the problems under study, as well as of the results obtained during the research works of the authors of the article; both were interpreted by the authors and set out in the context of the research objective. Results. The findings are the presented analysis of definitions of the notions of "information environment", "information environment of science", "comfort of information environment". Essential characteristics of comfortable information environment of science are featured. The practical value of the research is the applicability of the results to the work of other University libraries. Conclusions. It is stated that the Belarusian National Technical University Scientific library makes a significant contribution to the creation and development of a comfortable information environment of science of the University by means of the introduction into practice of such activities as: information support of applied research and experimental development carried out in a number of priority areas of scientific and technical activities in the Republic of Belarus, the creation and maintenance of open access resources, the formation of the needs of scientists and researchers in primary scientific data, advisory work on researchers registration in various systems of identification of author profiles, bibliometric research.
Review of the monograph «The Roles of Technology and Globalization in Educational Transformation»

This article is a review of the monograph «The Roles of Technology and Globalization in Educational Transformation», published in 2019 under the editorship of B. F. Adeoye and G. Arome. The authors of the monograph, reflecting in a liberal vein, discuss the trend in the modern education system at both the global and regional levels. In particular, we are talking about the fact that the advent and development of Internet technologies have created a new world – a new communicative space, which is characterized by a certain virtual unity. In this space, if we compare it with the classical educational systems, almost everything has changed, from programs and their focus to the participants in the educational process, the psychology of which has also changed. New technological approaches, the use of forms of online education, were able to make education more flexible and close to the consumer. At the same time, the mobility of educational systems made it possible to actively introduce them into the labor process, reaching the goal of staff development, which is especially necessary in the conditions of innovative development of the economy. In addition, the coverage of territories has expanded. Education in its various forms came to all types of settlements, encompassed poorly developed regions. Despite such an intensive development of educational technologies, a large number of problems remain associated with the pace of development of educational programs and the presence of regional specifics, which impedes the introduction of universal solutions. This gives the authors of the monograph reason to discuss the trends that characterize the modern world education system.
Acquisizione e apprendimento linguistico degli<i>heritage speakers</i>russofoni della scuola N. Gogol’ di Roma: ultimi sviluppi dell’indagine

In the last few decades the study of the so called ‘heritage languages’ has become an emerging field in the research of bilingualism, because migrant people often try to maintain their identities and minority languages. This work resumes a new testing experience, which has been conducted four years after the last one (2013), with some Russian heritage speakers (HS) living in Italy and attending a Russian Saturday school in Rome. It will focus on the difficulties of language acquisition and the possibility for the HS to develop a better language competence through formal learning.
Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media

In recent years, there has been an increasing interest in digital humanities. This interest is justified by the development of natural language processing tools and the emergence of digitized text collections of documents in different fields of knowledge, for example, literature, art, philosophy, and history. In this paper, we applied unsupervised topic modeling to the Bulletin of Opposition, the journal of Soviet opposition published by Trotskyists in Paris from 1929 to 1941, to analyze the main trends in the Russian opposition-leaning media. We identified topic classes using models based on Latent Dirichlet Allocation and examined Dynamic Topic Models as a tool to single out the main issues of interest for historical research. Applying topic modeling and statistical methods, we proposed an approach to Retrospective Event Detection that was evaluated on a human-annotated set of historical news items. The present study may help to improve event detection on smaller text corpora.
Kernel Node Embeddings

Learning representations of nodes in a low dimensional space is a crucial task with many interesting applications in network analysis, including link prediction and node classifi-cation. Two popular approaches for this problem include matrix factorization and random walk-based models. In this paper, we aim to bring together the best of both worlds, towards learning latent node representations. In particular, we propose a weighted matrix factorization model which encodes random walk-based information about the nodes of the graph. The main benefit of this formulation is that it allows to utilize kernel functions on the computation of the embeddings. We perform an empirical evaluation on real-world networks, showing that the proposed model outperforms baseline node embedding algorithms in two downstream machine learning tasks.
Input Simplifying as an Approach for Improving Neural Network Efficiency

With the increasing popularity of smartphones and services, symbol recognition becomes a challenging task in terms of computational capacity. To our best knowledge, existing methods have focused on effective and fast neural networks architectures, including the ones which deal with the graph symbol representation. In this paper, we propose to optimize the neural networks input rather than the architecture. We compare the performance of several existing graph architectures in terms of accuracy, learning and training time using the advanced skeleton symbol representation. It comprises the inner symbol structure and strokes width patterns. We show the usefulness of this representation demonstrating significant reduction of training time without noticeable accuracy degradation. This makes our approach the worthy replacement of conventional graph representations in symbol recognition tasks.
H<sub>2</sub>Optimal Attitude Estimation of UAVs Using Sensor Fusion

Attitude estimation using low-cost sensors on Commercial-off-the-shelf (COTS) drones is a challenging problem that has conventionally been solved by the Kalman filter. However, the Kalman filter algorithm has a few drawbacks of its own, namely in terms of assumptions about noise characteristics, memory use, and computation speed. We propose a $\mathcal{H}_2$ optimal framework for attitude estimation in the same sensor fusion paradigm that alleviates these issues. The estimation gain is computed offline for the linearized system about a chosen nominal point, thus eliminating the need to solve optimization in real-time. Furthermore, assumptions about the Gaussian nature of noise can be relaxed. We present the results comparing our algorithm and the Kalman filter showing improved computational efficiency for both slow and fast motions, at little or no cost to accuracy. These improvements make our proposed filter a favorable alternative to the Kalman filter for low-cost UAS.
Usage of Electronic Resources, Internet, and Choices of Resources in College Libraries of India

In this chapter, the author investigates the user choices of e-resources among users of college libraries in Karnataka, India. The scholar identifies purpose of using internet by staff and students as well as assessing their information. Findings shows that majority of users are using internet to their career development 99.60%. 99.42% of respondents are using internet for communicate purpose. Majority of staff do not choose e-books and e-reports. Students are also not choosing e-theses and dissertations. Regarding journals, the majority of students' choices are print versions.
Methods of Increasing Motivation and Quality of Potential Primary School Teachers’ Mathematical Education

The article describes the implementation of project tasks in the study of rational and irrational numbers, presents the results of a questionnaire survey of students, potential primary school teachers, while studying the numerical line in a course on mathematics. The purpose of the article is to consider the effect of supplementing a material of a numerical line with original content on motivation when teaching mathematics to students of non-mathematical profiles. Methods. A questionnaire survey was conducted on the indifferent or negative attitude of students to the study of the rational and irrational numbers theory. Using theoretical and experimental methods, the hypothesis on the formation of positive motivation among students through the solution of project tasks, the compilation and implementation of which gives them a sense of independence, freedom of choice, success, is tested. Conclusions presented in the article are based on the results of the study. Due to the implementation of project tasks, students in the study of the discipline «Mathematics» felt the usefulness of the knowledge gained and showed high marks on exams. It is concluded that the teaching of the numerical line in the course on mathematics at the university using the techniques mentioned below in the article allowed to increase the level of positive motivation among students.
An Architecture of Reactive Interfaces Proposal

This paper presents a proposal for the development of reactive user communication interfaces, popularly known as widgets. This proposal aims to dispense with the Application Development Kits (ADKs), promoting the integration of an open and cross-platform reference framework specialized in the development of applications. Likewise, the 3D interfaces are designed as a mechanism for user interaction as optical illusions. The transit route to follow is to resort to the forms of programming proposed in the traditional programming paradigms: (a) imperative programming; (b) procedural programming; and, (c) object-oriented programming. Later it is exposed the integration of a specialized frame of reference in the systematization of an encoding process that leads to the development of 3D interfaces is exposed. The initial design process consists of the identification of three subsystems that establish a verifiable framework for work, control and communication, from which an architectural design based on components and modules is established. As future work it is visualized to work in the way in which the interfaces will be evaluated in terms of effectiveness and efficiency, as well as finding a meaningful way to apply this proposal particularly in the educational area.
Interpreting Context of Images Using Scene Graphs

Understanding a visual scene incorporates objects, relationships, and context. Traditional methods working on an image mostly focus on object detection and fail to capture the relationship between the objects. Relationships can give rich semantic information about the objects in a scene. The context can be conducive in comprehending an image since it will help us to perceive the relation between the objects and thus, give us a deeper insight into the image. Through this idea, our project delivers a model which focuses on finding the context present in an image by representing the image as a graph, where the nodes will the objects and edges will be the relation between them. The context is found using the visual and semantic cues which are further concatenated and given to the Support Vector Machines (SVM) to detect the relation between two objects. This presents us with the context of the image which can be further used in applications such as similar image retrieval, image captioning, or story generation.
Parallel Job Execution to Minimize Overall Execution Time and Individual Schedule Time Using Modified Credit-Based Firefly Algorithm

Resource allocation to jobs in parallel becomes critical to investigate since resources are decaying and the need of resources is substantially enhanced. To tackle the issue, proposed literature presents a new hybrid strategy of optimal jobs selection within firefly algorithm using reduced iterations at each stage known as credit-based firefly algorithm (CBFA). Nature-inspired multi-heuristic firefly approach contains the selection procedure. In this, the queue is used for storing cost and profit, and this queue is used for selecting jobs. The jobs that have low cost and maximum profit are considered as fitness function. For executing the job, the queue is given to firefly and after that again sorting of jobs is done. This procedure iterates until all jobs have been executed and credits are associated with each population. The population with low credit is removed and the again firefly algorithm applies. This methodology improved the overall execution time and individual schedule time by 6%.
Highlights of the educational process in primary school

The education of younger schoolchildren is a responsible job, since younger schoolchildren form character traits, lay the foundations of knowledge, beliefs, worldview, moral guidelines. Therefore, education issues require close consideration. Theoretical research methods were used in the work: abstraction, that is, the process of education in the school was considered in isolation from family education and other factors that actually affect the younger student; and the method of mental modeling is to mentally simulate the situation when the educational process proceeded according to one scenario, for example, the opinion of the teacher was expressed without the student’s readiness to perceive the information according to another scenario, when the teacher took into account the characteristics of the child and the environment. The result of the research was the allocation in a broad topic of school education of several key points that teachers should pay attention to.
Objective and Subjective in the Modern Informational Society

The article presents the experience of the critical study of information monism principle, which has become widespread in modern concepts of information society, and associated information determinism. In this criticism, the author consistently proves the position that the necessary, not removable condition for the existence and development of society at all historical stages is the subject-object relationship, and it is preserved in modern information processes. So today, the idealization of the status of information and its role in society is one-sided understanding of this society, which is the result of a methodologically-destructive transformations and omissions, first of all, attempts to deploy pluralistic content from the flow of information in complex social environment including the consciousness of people as subjects, their values and multi-dimensional activities. The author states that the mediator and the space of interaction between subject and object in society is the activity in which they are complementary parties. The basis of the modern information society is also the activity, however, its access to the global level requires a new level of self-consciousness and self-determination. Therefore within the activity its system scale representing it as the subject became more active, and the information began to express "substance" of activity as the process developed in time and including information events (texts) – as objectivity which does not reach target result and does not break away from a stream of activity and communications. Identifying texts as expressed "objectivity" information becomes a regulator of specific activities of subjects interacting with the subject-spatial environment. Information links and divides the global scope of activities and their traditional private forms. Information becomes "primary" not because it replaces other types of resources and is the generative basis of society, but because it now acts as an intermediary between the activities of the subject as a function of the system, on the one hand, and the actions of specific subjects, which are based on the information dimension of the subject activity, on the other hand. The research paper offers and investigates the definitions of the categories "subjective", "objective", information", "activity", which make the logical structure of the article more reasonable, increase the level of its argumentation. The restoration of the status of "objective" through the perspective of activity, as the author shows, is the basis for the restoration of the status and content of the modern personality, the expansion of its role and scale in society.
Improving Energy Consumption by Using DVFS

Power management has turned into a basic plan parameter as more transistors are coordinated on a solitary chip. Bringing down the supply voltage is one of the alluring ways to deal with spare intensity of the variable outstanding task at hand framework, and to accomplish long battery life. DVFS is one of the effective methods to lessen the vitality utilization. The principle thought behind DVFS plan is to powerfully scale the supply voltage of CPU, to give enough circuit speed to process the framework remaining burden so as to meet the time and execution, along these lines lessening power. The problem faced by users in cloud computing is energy consumption. Some resources in cloud stay idle for some time. This idleness of resources consume energy thereby causing more consumption of energy. Both the hardware and software reduces the energy consumptions. The results shows that proposed model reduces the consumption of energy by using DVFS.
On the multi-interval Ulam-Rényi game: For 3 lies 4 intervals suffice

We study the problem of identifying an initially unknown m-bit number by using yes-no questions when up to a fixed number e of the answers can be erroneous. In the variant we consider here questions are restricted to be the union of up to a fixed number of intervals. For any e≥1 let ke be the minimum k such that for all sufficiently large m, there exists a strategy matching the information theoretic lower bound and only using k-interval questions. It is known that ke=O(e2) and it has been conjectured that the ke=Θ(e). This linearity conjecture is supported by the known results for small values of e as for e≤2 we have ke=e. We focus on the case e=3 and show k3≤4 improving upon the previously known bound k3≤10.
Tracking the Exploration and Exploitation in Stochastic Population-Based Nature-Inspired Algorithms Using Recurrence Plots

The success of every stochastic population-based nature-inspired algorithms is characterized through the dichotomy of exploration and exploitation. In general, exploration refers to the evaluation of points in previously untested areas of a search space, while exploitation refers to evaluation of points in close vicinity to previously visited points. How to balance both components properly during the evolutionary process is still considered as a topical problem in the evolutionary computation community. In this paper, we propose a recurrence plot visualization method for evaluating this process. Our analysis shows that recurrence plots are highly appropriate for revealing how particular algorithms balance exploration and exploitation.
Constrained Dual Graph Regularized Orthogonal Nonnegative Matrix Tri-Factorization for Co-Clustering

Coclustering approaches for grouping data points and features have recently been receiving extensive attention. In this paper, we propose a constrained dual graph regularized orthogonal nonnegative matrix trifactorization (CDONMTF) algorithm to solve the coclustering problems. The new method improves the clustering performance obviously by employing hard constraints to retain the priori label information of samples, establishing two nearest neighbor graphs to encode the geometric structure of data manifold and feature manifold, and combining with biorthogonal constraints as well. In addition, we have also derived the iterative optimization scheme of CDONMTF and proved its convergence. Clustering experiments on 5 UCI machine-learning data sets and 7 image benchmark data sets show that the achievement of the proposed algorithm is superior to that of some existing clustering algorithms.
Overcoming the stage-psychological barrier in the process of training masters in vocal

The article deals with the problem of future vocal teachers training in performance activity. The author has focused on the psychological readiness for public performance, which is subjectively perceived as a stressful situation requiring psychological, emotional strain, maximum concentration of attention and volitional effort. A significant role of the psychological state for the singer caused by his/her reflection on the phonation-singing aspects; the degree of emotional brightness, artistic perfection in the creation of musical images has been specified. The author has analysed the works of musical psychologists and representatives of theatrical and musical arts in relation to the factors of the performers’ unsatisfactory psychological state. Some features of productive and creative as well as excessive unproductive unrest alongside with its causes have been described. Three groups of determinants of the future professional’s personal psychological state have been considered: functional; motivational-characterological and operational. A special attention was paid to the types of the future vocal coaches’ performance activity such as performances in the form of academic reporting, contests, concerts and other educational events, pedagogical-illustrative methods as well as students’ entertainment. The participation in these activities is significantly different in the extent of responsibility for the performance quality and its possible consequences. It has been pointed out how significant it is to choose the repertoire for the performance in accordance with vocalist’s real abilities, to hold auto trainings, to create «situations of success», role play and vocal-improvisation games in order to improve students’ performing-psychological state. Keywords: vocal performance; future vocal teacher (coach); stage-psychological barriers, training, master students, stage-performing activity.
Clustering By Adaptive Graph Shrinking

In this work, we propose a novel clustering framework by gradually shrinking the graph of samples called adaptive graph shrinking (AGS). It is motivated by the smoothness of graph signal which will reach a lower bound when samples from the same cluster merge into one component of a graph. We mimic the merging process by using some dynamic clients to represent original samples. The dynamic nature of representatives also reduces to a dynamic graph which endows the final stable graph a lower smoothness, whereas the previous work robust continuous clustering (RCC) uses a fixed graph. This dynamic process is realized by alternatively optimizing the representatives and weights of the graph. We perform experiments on two public database COIL20 and MNIST to demonstrate that the dynamically shrinking of the graph is able to promote the clustering performance.