Reviewerly/exHarmony huggingface dataset:
Evaluation Tools Of Competences In Digital Economy: Creation And Development Prospects

Nowadays smart technologies are actively introduced into all branches of the national economy in the Russian Federation. Formation of smart cities requires development of information technology, new approaches to their use and innovations in training of future experts. The article is devoted to one of the important aspects of smart education – development of evaluation tools of competences - a digital platform of smart remote testing. The basic notions are given, the problems of its implementation and the aspects of formation of the new smart society are considered. The importance of creation of smart remote testing is justified within the common information space of educational institutions of the Russian Federation, which will enable to use a uniform knowledge repository for evaluation of competences of students and organizations’ staff in the field of digital economy. Within the considered current developments and the analysis of national and foreign experience, it is offered to use the digital platform enabling to estimate remotely the competences of students and experts in various branches of digital economy. The general description of the digital platform is provided; the functional scheme and the operation algorithm are considered. The platform of smart remote testing is designed and developed with use of the most advanced technologies, libraries, development tools and visual modeling. Due to it, the platform is convenient, transparent, reliable and scalable.
Association of handwriting between Chinese <i>Hanzi</i> and Roman systems in the Chinese community of Klang Valley

This study aims to investigate the cross-language relationship between Chinese Hanzi and Roman handwriting systems in the Chinese community of Klang Valley. The samples were examined under characteristics such as slant, alignment, ending strokes, words dimensions, spacing, letter stalks, the height of t-bars and margins for both languages. Spearman’s Rank Correlation and McNemar Bowker tests were applied for the continuous and descriptive data analysis respectively due to their significance association using the Statistical Package for the Social Sciences (SPSS) software, version 23. The results showed a significant strong positive correlation between the left margins (R2 = 0.936, p < 0.001) and widths (R2 = 0.734, p < 0.001). Moderate positive correlation was obtained between heights (R2 = 0.690, p < 0.001), right margins (R2 = 0.626, p < 0.001), stalks (R2 = 0.586, p < 0.001), height of t-bars (R2 = 0.499, p < 0.001) and intrawords (R2 = 0.410, p < 0.001). The McNemar Bowker test revealed a significant association between slants (X(6) = 42.702, p < 0.001), ending strokes (X(3) = 38.400, p < 0.001) and baseline (X(10) = 21.904, p = 0.016). The findings were statistically significant (p˂0.05) for all the means measured. Based on the result, an association of handwriting between the two languages exists, despite the structural variation in the writings. This indicates that there is a correspondence in the handwriting of an individual when using two different language systems.
Review of Tests, Measurements and Research Methods in Behavioural Sciences

Tests, Measurements and Research Methods in Behavioural Sciences, Arun Kumar Singh, (2017), Fifth edition. Publisher: Bharati Bhawan Publishers & Distributors; Binding: Paperback Language: English ISBN-10: 8177097431 ISBN-13: 978-8177097436 No. of pages: ix+616.
Utilization of ICT and Quality Management Techniques for Physical Chemistry Experiments in National Institute of Technology

Physical chemistry experiments utilized with Information and Communication Technology and quality management techniques were performed in National Institute of Technology, Kumamoto college. In the course of measurements of chemical reaction rate for decomposition of hydrogen peroxide, students can learn with e-learning materials and through the experiments, students can learn some quality management techniques.
Stroke-based Artistic Rendering Agent with Deep Reinforcement Learning

We show how to teach machines to paint like human painters, who can use a small number of strokes to create fantastic paintings. By employing a neural renderer in model-based Deep Reinforcement Learning (DRL), our agents learn to determine the position and color of each stroke and make long-term plans to decompose texture-rich images into strokes. Experiments demonstrate that excellent visual effects can be achieved using hundreds of strokes. The training process does not require the experience of human painters or stroke tracking data. The code is available at this https URL.
Software for Generalized and Composite Probability Distributions

The use of composite probability distributions (i.e. integrated from two different distributions, including inverted/mirrored distributions) is useful in case the data sample is drawn under changing external conditions, which frequently occurs. The use of composite distributions is not widespread, with the exception of the Laplace distribution. Also, software for the fitting of such distributions to data series, with the aim to obtain an impression of the frequency of occurrence under changing external conditions, is scarce. This article uses the software package CumFreqA, designed for that purpose, and explains how various well known distributions can be used to obtain composite ones. Simultaneously the software finds the optimal value of the separation point Q of the different distributions left and right of it. Another technique of CumFreqA is to raise the data to a power P, whose value can be optimized numerically using iterative procedures, to reach the condition of minimum sum of squares of deviations of the theoretical from the observed values. The transformation of data to obtain a better fit is not often done with the exception of the log-normal distribution which uses a logarithmic transformation of the data instead of an exponential, which offers more flexibility. Thus the distribution is generalized and made composite to enhance the goodness of fit. Further, the parameters of the distributions are found from transformations of the cumulative distribution function leading to linear equations where after a linear regression is applied, which simplifies the algorithm. The confidence belts of the cumulative distribution functions in CumFreqA, are constructed with the help of the binomial distribution. This leads to the possibility to construct confidence intervals of the return period as well. Various examples of distributions and confidence belts are given. CumFreqA offers the possibility to create histograms with intervals by choice and constructs the corresponding probability density functions, of which examples are given.
O papel do Sistema Nacional de Bibliotecas Públicas na construção de políticas públicas

It presents facts that marked the Brazilian System of National Public Libraries (SNBP) as an institution responsible for public policies in the area of books, reading and libraries in the period from 1992 to 2014, during which time it was subordinated to the National Library Foundation (FBN). This work intends to be a registration of the institutional memory that aims to contribute to strengthen and maintain alive the SNBP. Through a bibliographical research, we sought to investigate the issues related to the SNBP from the description of their actions, which brought us rich reflections about his role in the construction of policies for public libraries in the country. Since its inception, the SNBP has become the main executing agency of policies, although it has not always led the formulation of policies. The analysis of its actions allowed the identification of four axes: implantation and modernization of public libraries; capacity building of human resources in the area of books and libraries; promotion of research; support for community libraries and reading and technical assistance points. The result of this research opens new questions for study and debate, among which we suggest: what results can be perceived regarding the democratization of access to information and reading in local communities whose public libraries have received the support of the SNBP? What is the impact of the actions implemented to improve the quality of life of the population in their territories? It is suggested to carry out a public policy analysis of each action reported to identify what has worked and deserve to be repeated or improved, and to seek the causes of what has not worked, correct and avoid misunderstandings.
Hydra: A method for strain-minimizing hyperbolic embedding.

We introduce hydra (hyperbolic distance recovery and approximation), a new method for embedding network- or distance-based data into hyperbolic space. We show mathematically that hydra satisfies a certain optimality guarantee: It minimizes the 'hyperbolic strain' between original and embedded data points. Moreover, it recovers points exactly, when they are located on a hyperbolic submanifold of the feature space. Testing on real network data we show that hydra typically outperforms existing hyperbolic embedding methods in terms of embedding quality.
The relationship of inertias between two representations of linear subspaces

This work gives complete expressions of inertia of matrices involved in a linear subspace of Rn×Rn when they are presented in two different ways, specifically, as image and as well as kernel of linear maps.
Proposed Model for Facial Animation using Covariance Matrix and Mahalanobis Distance Algorithms

In this research work, an automated 3D face expression generation technique is presented, which is extracted from real life video of face motion. The face expression is extracted from real human face using Covariance Matrix for detecting face marker points and Mahalanobis Distance to calculate the distance of each marker points within frames. The technique of tracking points on face uses markers placed on key positions of face muscles, then by getting its position from all frames of pre-recoded face video using the distance algorithm the movement of each face muscle is detected and measured. The face muscles are marked with particular tracking markers that are detected and tracked by the system. This tracking occurs by using color segmentation using Huffman Transform, where we detect color of points and track the location and distance of each tracker points. The original and translated position values of each marker points are obtained and recorded in text file in vector values. The tracked values will be transferred in a 3D Animation software like MAYA and applied on a pre-Rigged 3D model of Human face. The 3D face will be rigged using joints to emulate the face muscle behavior.
Formation of motivational readiness of future specialist

The main theories of motivation have been divided into two directions: substantial theories that consider motivation from structural positions, and procedural theories that consider motivation as a dynamic formation. These areas are united by the understanding of motivation as secondary formation to the motive. In this study the concept of “readiness” for activity is considered as an active-effective state of the individual. In the structure of professional readiness of the individual, researchers identify different components, among which the most important is the motivational – attitude to the profession, the need to complete the task successfully and interest in the activity.  Of the main goal of this study is considering psychological readiness as a complex functional, psychological and personal formation. As follows in this study, psychological study includes: a positive attitude to a particular type of activity; adequate to the requirements of the character and temperament; the necessary knowledge, skills, habits; stable professionally important features of cognitive and emotional-volitional processes. The study persues a model of formation of positive motivation through a professional activity of subjects of education in terms of reinforcement on the basis of the following principles: taking into account all kinds of needs of the individual; taking into account the real contribution of each employee to the final result.
Influencing Opinions through False Online Information : A Study

Online Social media generates lot of information now-a-days. It is not legitimate information so there are the chances of fake and false information produced using social media. It is very alarming that majority of the people getting news from social media which is very much prone to false information in comparison to traditional news media which is very dangerous to the society. One of the primary reasons to influence opinion through false information is to earn money, name or fame. In this study, the focus is on to highlight false information generated through fake reviews, fake news and hoaxes based on web &amp; social media. It summarized various False information spreading Mechanisms, False Information Detection Algorithms, Mining Techniques for Online False Information to detect and prevent false online information.
Motivational Determinants In The Development Of Creative Thinking Of University Students

One of the main tasks for higher vocational education is the search for effective ways of managing educational activities, providing cognitive and creative activity of the main educational process. The decisive causal factor of creative activity of students is their motivation. For subjects of the educational process, questions of motivation are formulated as an internal state, determining the direction of a students motivation, predisposing its action purposefully, which is of greater importance in a modern university. At the same time, the educational process is increasingly difficult to ration, on the one hand, and it is difficult to control – on the other. Today, more than ever, the problem of assessing the level of creativity of students in higher professional education has become more acute. There are insufficiently studied specific motives, components of motivational determination for the creative interaction of the main subjects of educational activity. It is necessary to update the methods of selective formation of internal motives and the motivation to achieve success, the motivation of the competence among future specialists, professionals even in the conditions of university training. In modern society, the need for specialists capable of creative activity has increased. The main goal of the motivation process is to get the maximum benefit from using labour resources, which allows students to increase creativity, their academic performance, professional preparedness and the quality of educational activities of the university. The system of motivation in the educational organization, in which they participate, has its own potential, significance and meaning of learning.
Repeated multi-qubit readout and feedback with a mixed-species trapped-ion register

Using a mixed-species ion chain, we demonstrate up to 50 sequential parity measurements between two beryllium ion qubits coupled to a co-trapped ancillary calcium ion. With feedback on the beryllium qubits conditioned on the ancilla readout we stabilize Bell states and parity subspaces. [1]
A Modified Approach for Automatic Extraction of Geographic Data

The popularity and growing of Big Data are increasing day by day, but the data is congested and unstructured. Finding of sorted and precise data according to requirements is not an easy task. In the era of social networking & machine learning, researchers have significant interests to retrieve automatic extraction of desired information. The focus of this scrutiny is to combine different techniques with their best results based on divisible tasks like regular expression, pattern based, machine learning as a classification problem and logic-based approach. This study is eventually leading to precisely identifying the locations. We extract the data of multiple blocks of the United States from the open web. After that, classification technique is applied with a machine learning approach by using SVM to get the specific information according to requirements. After getting the first phase results, the particular names are searched with their places from search engines to confirm the locations. The outcomes, finally compared with an Open Street Map (OSM) and Wikimapia. The results have shown the excellent approximation to google maps and more precise than OSM and Wikimapia.
Inter-ethnic tolerance and its development among pedagogical students of higher educational institutions

This paper is devoted to the development of inter-ethnic tolerance among pedagogical students of higher educational institutions. Based on the works by B. Barber, J. Berry, A.G. Asmolov, M.S. Mirimanov, V.A. Lektorskii, G.U. Soldatov and other researchers, the authors clarified the purpose and objectives of the development of interethnic tolerance of future teachers, as well as systematized its main criteria and indicators. The paper also presents the author’s set of pedagogical conditions ensuring the development of interethnic tolerance of students of pedagogical specialties in a higher educational institution. The set includes the following components: the use of active didactic forms and interactive teaching methods in the educational process that contribute to the formation of a tolerant view of students; the organization of interpersonal interaction of students of pedagogical specialties by involving them in research activities; updating the experience of tolerant interethnic communication of future teachers through the introduction of tolerance episodes into the educational process; forming in pedagogical students competence in the development of interethnic tolerance among schoolchildren in the educational process.
A Netnography on Early Childhood Teachers’ Participation in an Online Community

Involvement in an online community can develop expertise and improve life satisfaction. Recently online communities and social networking services have been used to strengthen and organize the mutual exchange of early childhood education teachers, the study of which should be of interest to the academic community. Therefore, this study analyzed teacher participation in online early childhood educators’ communities. As are search method, we adopted netnography as proposed by Kozinets and selected one online teacher community according to the community selection criteria of netnography. The study collected online community posts written by teachers from October 2016 to October 2017, and conducted online group interviews with six community members. The collected data were analyzed using netnography and prior studies. The results of the study were as follows: First, the topics of teachers’ online community participation were job-search, job-adaptation, and teacher main tasks; second, the motivation for teachers’ online community participation was to exchange information, build relationships, and find self-affirmation. Early childhood teachers used the online community as a place for job-seeking and job-adjustment and exchanged emotional support with other teachers through self-affirmation. This study used netnography to analyze how the online early childhood teachers’ community can provide empirical implications for considering teachers’ needs, perceptions, and attitudes as professionals and explore the roles and functions of an online teachers’ community.
THE TRANSFORMATION OF TECHNICAL EDUCATION IN THE CONTEXT OF INNOVATIONS

The paper considers the changes in the structure of the educational environment of a technical university caused by the development of partnership of a university, business, and the state. The concept of triple helix serves as a driver of the development of technical education and promotes the formation of administrative, communicative and business competencies of new-style engineers. The author gives a brief analysis of changes taking place today in a technical university that allows speaking about the creation of an appropriate environment for the training of professionally qualified new-generation engineers able both to generate ideas and bring them up to commercialization. The paper shows that in the conditions of integrative changes, the requirements to the technical university graduates became more complicated and, in the conditions of market competition, should conform to the challenges of new time, therefore, empowering teachers to search for the ways of involving future engineers in the real research, business, and innovative activity. The successfulness of behavior of innovative processes in technical education depends largely on teaching staff, their value-based attitude to the happening changes. Subsequently, the professional and educational activity of a teacher in the conditions of integrative changes should be carried out at a qualitatively different level and have interdisciplinary nature. All of these things cause the necessity in the support of a technical university teacher aimed at the improvement of his or her teaching competence, in the expansion of the range of teacher’s professional activities through the introduction of innovative strategies, technologies and ways of training engineers in accordance with the needs of a real economy sector.
A Study on the Usage of Mass Media Information Communication Technology among the Farming Community of Mandya District, Karnataka State, India

Mass-media plays a very important role in bringing about change in the behavior of users by putting across the useful information, which leads to decision making for adoption of innovation. Among the different Mass-media channels radio and television are becoming popular for farm, home, community and entertainment programmes. This paper discusses the Usage of Mass Media Information Communication Technology among the farming community of Mandya District, Karnataka State, India.
The image inpainting algorithm based on pruning samples by referring to four-domains

In order to retrieve large scale damaged image with rich geometry structure and texture information, the novel image inpainting algorithm based on the neighbourhood reference priority can not only maintain image character but also improve image inpainting speed has been proposed in the paper. The problems of an image inpainting process can be translated into the best sample searching process. First, the extracting structure information of image and the dividing sample region into sub-regions server. Second, in order to adjust the neglect of structure of matching method named SSD, introducing structure symmetry matching constraint into matching method, it avoids matching mistakenly and improves sample matching precision and searching efficiency. Then, improving priority equations by bringing in structure weight and confidence, highlighted the effect of structure to inpainting sequence. Finally, computing priority of four-domains neighbour by computation overlapping information between object patch and sample patch, so that referring to secure information of four-domains neighbour, to prune sample dataset and search optimal sample. The experimental results have demonstrated that the proposed algorithm can overcome problems like texture blurring and structure dislocations and so on, the PSNR of the improved algorithm has been increased by 0.5–1 dB comparing other contrast methods while speeding up the image inpainting process, recovered image is much continuous for visuality. Meanwhile, it can recover efficiently common damage images and be more pervasive.