Reviewerly/exHarmony huggingface dataset:
Transformation Of Researcher`S Professional Qualification Requirements In The Information Society

The article deals with the issues related to the changes in qualification requirements of researchers in the modern information society. The author presents the development features of the information society and the complexity of the transition from Industry 4.0 to the Super Smart Society 5.0; the focus is also on the impact of information and digital breakthroughs on the researcher’s activities and how it is manifested and fixed in various standard-setting documents regulating scientific and research activity in Russia and Europe. European requirements to the development of research careers, the Qualification Reference Book of Managers, Specialists and Other Employees (1998, as amended on March 27, 2018) and the requirements to the rating of academic staff used in various federal universities of Russia served as objects of contrastive comparative analysis. As a result of the study, it was shown that the requirements to the professional qualification used in Russia today do not fully reflect the changes in the activities of researchers that occur in connection with the informatisation of modern society. Nevertheless, the transformation of the requirements in compliance with the European vectors is evident in the rating requirements of scientific and teaching staff, which complex nature signals the need for continuous professional development and enhancement during the academic career.
Similarity Scores Based Re-classification for Open-Set Person Re-identification

In this paper, we propose a new similarity scores based re-classification method for open-set person re-identification, which exploits information among the top-n most similar matching candidates in the gallery set. Moreover, to make the cross-view quadratic discriminant analysis metric learning method effectively learn both the projection matrix and the metric kernel with open-set data, we introduce an additional regularization factor to adjust the covariance matrix of the obtained subspace. Our Experiments on challenging OPeRID v1.0 database show that our approach improves the Rank-1 recognition rates at 1% FAR by 8.86% and 10.51% with re-ranking, respectively.
MPLEMENTATION OF CTL MODELS WITH PLASTISIN MEDIA TOWARDS COGNITIVE MAPPING OF STUDENTS IN BASIC SCHOOL LEARNING

&lt;p&gt;&lt;em&gt;Contextual learning (CTL) is a learning concept where the teacher presents the real world into the classroom and encourages students to make a connection between their knowledge and application in their daily lives, as a means to solve problems in everyday life. Learning with the CTL model opens the widest opportunity for students to empower themselves. Primary school children are the world of play, in the lives of children, most of their time is spent playing. Playing in learning provides an opportunity for children to express their creativity to find the use of things differently, find new relationships with one another. The use of plasticine as an IPS learning media can foster students' creativity in their learning, the game is more directed towards finding concept maps and interpreting the topic of existing learning material so as to foster learning motivation in achieving achievement.&lt;/em&gt;&lt;/p&gt;
Multi-frame Image Super-resolution Reconstruction Using Multi-grained Cascade Forest

Super-resolution image reconstruction utilizes two algorithms, where one is for single-frame image reconstruction, and the other is for multi-frame image reconstruction. Single-frame image reconstruction generally takes the first degradation and is followed by reconstruction, which essentially creates a problem of insufficient characterization. Multi-frame images provide additional information for image reconstruction relative to single frame images due to the slight differences between sequential frames. However, the existing super-resolution algorithm for multi-frame images do not take advantage of this key factor, either because of loose structure and complexity, or because the individual frames are restored poorly. This paper proposes a new SR reconstruction algorithm for images using Multi-grained Cascade Forest. Multi-frame image reconstruction is processed sequentially. Firstly, the image registration algorithm uses a convolutional neural network to register low-resolution image sequences, and then the images are reconstructed after registration by the Multi-grained Cascade Forest reconstruction algorithm. Finally, the reconstructed images are fused. The optimal algorithm is selected for each step  to get the most out of the details and tightly connect the internal logic of each sequential step.This novel approach proposed in this paper, in which the depth of the cascade forest is procedurally generated for recovered images, rather than being a constant. After training each layer, the recovered image is automatically evaluated, and new layers are constructed for training until an optimal restored image is obtained. Experiments show that this method improves the quality of image reconstruction while preserving the details of the image.
Samplers and extractors for unbounded functions.

Blasiok (SODA'18) recently introduced the notion of a subgaussian sampler, defined as an averaging sampler for approximating the mean of functions $f:\{0,1\}^m \to \mathbb{R}$ such that $f(U_m)$ has subgaussian tails, and asked for explicit constructions. In this work, we give the first explicit constructions of subgaussian samplers (and in fact averaging samplers for the broader class of subexponential functions) that match the best-known constructions of averaging samplers for $[0,1]$-bounded functions in the regime of parameters where the approximation error $\varepsilon$ and failure probability $\delta$ are subconstant. Our constructions are established via an extension of the standard notion of randomness extractor (Nisan and Zuckerman, JCSS'96) where the error is measured by an arbitrary divergence rather than total variation distance, and a generalization of Zuckerman's equivalence (Random Struct. Alg.'97) between extractors and samplers. We believe that the framework we develop, and specifically the notion of an extractor for the Kullback-Leibler (KL) divergence, are of independent interest. In particular, KL-extractors are stronger than both standard extractors and subgaussian samplers, but we show that they exist with essentially the same parameters (constructively and non-constructively) as standard extractors.
Reversible FPGA-Based Code Sequence Generator

Code sequence generators (CSGs) are widely used in digital systems of radio engineering and communication, computer technology and automation, for storing information and performing arithmetic operations, as well as diagnosing and correcting digital device errors in their control and synchronization circles. Among various types of CSG propagation generators were pseudo-random numbers and generators with constant codes, in which the combination of zeros and units in the bits of the register remains unchanged. A sequence is called pseudorandom, if it looks like a systemic and random, although in fact it was created using a purely deterministic process known as the pseudo-random generator. Such generators are predominantly given some initial values and, with the help of certain algorithms, receive random sequences of codes from it. In this sense, pseudorandom generators can be considered as spreaders of chance. The main disadvantages of these devices include the fact that the offset is performed only to the right, which reduces the functionality. In this article, an analysis of modern methods for generating code sequence generators and taking into account their shortcomings, the authors proposed a new schematic solution for a reversible code sequence generator, which reduces the required resource of integrated circuits, so that it is constructed on an arbitrary bit register, thus giving an opportunity to form an output a bus of any size without changing the source code at the reverse. The method of determining the excitation function for the n-bit shift register is described, and the example of calculating the 4-bit shift register is provided, which provides a return to the main work of the system. This solution allows creating flexible systems based on standard integrated circuits of hard logic. The result of the simulation of the reverse code sequence generator in the software of the Altera Quartus II CAD with the time charts of the device operation is described.
A Light Weight Cryptography (LWC) for Small Scale Data in IoT Devices

In the digital world, which is currently evolving and changing at such a rapid pace, the security of information has become increasingly more important.To preserve the secrecy of the information, cryptography has specific roles to protect files from unauthorized access.In this paper, a new robust and lightweight cryptography algorithm named as LWC to increase security at a cheaper cost in the Symmetric-key producing algorithm.This algorithm ensures data stability, integration and privacy for those data files which are in size around 1 K.B to 512 K.B. Considering the lower time and power consumptions and the hardware capabilities of IoT devices, this solution provides a cheap and effective alternative for them.
Socio-Cultural Heritage Of Religion In The Context Of Educational Potential

The article is devoted to the theoretical substantiation and practical realization of the educational potential of the socio-cultural heritage of religion. The research deals with the issues of secularization and authorization of Western society, the ratio of religion and culture as the key sense-forming spheres in human life. Special attention is paid to the phenomenon of socio-cultural heritage as a special interdisciplinary category. The socio-cultural heritage of religion is considered in the context of the value-semantic paradigm of personal development, as a systemic quality of the individual, determined by his involvement in social relations, formed in joint activities and communication. Education and culture are considered as two components of a single process of socialization and inculturation, that is, the adaptation of a person to life in society and his familiarization with the values of human culture. The article concludes that the effectiveness of the implementation of the educational potential of the socio-cultural heritage of religion will be achieved if the socio-cultural heritage of religion is considered as a multidimensional, having the quality of complexity of the concept of interdependent and complementary values. Cultural heritage in this act as the basis of an equal dialogue between the teacher and students, facilitating the introduction of the latter to the essence, values and meanings.
Contribution of Alexander Flaker to the Study and Development of Russian-Croatian Scientific and Cultural Connections

А.Г. Шешкен (Москва, Россия
Kits2019 Challeges: Brief Descriptions of the Algorithm and Process

Abstr act.Chronic kidney disease affects mang people around the world.Computed tomography (CT) is a widely used imaging modality for kidney disease diagnosis and quantification.However, automatic pathological kidney segmentation is still a challenging task due to large variations in contrast phase, scanning range, pathology, and position in the abdomen, etc.In this work, we propose to combine different Window wide window position as a multi-channel input and Unet, for robust kidney or kidney tumors segmentation.
Data-Driven Intelligent Tutoring Systems for STEM+C Learning and Teaching

It is wide known that one of the most effective ways to learn is through problem solving. In recent years, it is widely known that problem solving is a central subject and fundamental ability in the teaching and learning. Besides, problem solving is integrated in the STEM+C (Science, Technology, Engineering, and Math plus Computing, Coding or Computer Science) fields. Intelligent tutoring systems (ITSs) have been shown to be effective in supporting students' domain-level learning through guided problem solving practice. Intelligent tutoring systems provide personalized feedback (in the form of hints) to students and improve learning at effect sizes approaching that of human tutors. However, creating an ITS to adapt to individual students requires the involvement of experts to provide knowledge about both the academic domain and novice student behavior in that domain’s curriculum. Creating an ITS requires time, resources, and multidisciplinary skills. Because of the large possible range of problem solving behavior for any individual topic, the amount of expert involvement required to create an effective, adaptable tutoring system can be high, especially in open-ended problem solving domains. Data-driven ITSs have shown much promise in increasing effectiveness by analyzing past data in order to quickly generate hints to individual students. However, the fundamental long term goal was to develop “better, faster, and cheaper” ITSs. In this work, the main goal of this paper is to: 1) present ITSs used in the STEM+C education; and 2) introduce data-driven ITSs for STEM+C education.
Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation

Medial axis representation (a.k.a. shape skeleton) seems to be present in visual processing, but its relevance has remained unclear. Here, we show the potentials of the medial axis transformation in the temporal propagation of superpixels. We combine (i) state-of-the-art deep neural network `sensors' for optical flow and for depth estimation and (ii) a superpixel algorithm with (iii) the medial axis transformation to obtain frame-to-frame propagation of visual objects. We study the precision of this deep learning facilitated superpixel temporal propagation. We discuss the advantages of the method compared to the temporal propagation of the superpixels themselves.
Earth Quake Model 2.0 : Attract Force Equation Release Earthquake Mechanism with Explaining Related Phenomena

Earth quake was nature phenomena, which has huge destroyed power, and make huge economic loss and human injuries and deaths. The reason of Earth quake has caused lots of researches. And predicting Earthquake has been the very important work on every day. While the mechanism of Earth quake was still unclearly, and the Earthquake predictions were still at initial stage. This paper use attract force mathematic physics model to build Earthquake mechanism model by finite element method, and try to explain the reason of Earthquake formation. At same time it was used to explain the related phenomena about Earthquake. The aims were to help for accurate predict Earthquake, and try to redeem the economic loss and save more people. This model was named Earth Quake Model 2.0, which was different and distinguished from the models before, and it was wish to help for seismic researches.
Russian Education Acts Provisions As An Education Information System Formation Factor

The article analyzes the main ideas embodied in the federal laws on education that were adopted in Russia in the post-soviet period. The Law of the Russian Federation of July 10, 1992 No. 3266-I “On Education”, Federal Law of December 29, 2012 273-FL “ On Education in the Russian Federation” had a significant impact on the formation and development of the modern educational system of Russia. The historical period of twenty years separating these two standard regulations was the turning point for Russia, the time of change for many ideological convictions, meanings and values. However, the main thing is the fact that the ideas that were laid in these standard regulations laid the foundations of the program and strategy for the development of domestic education and the educational system of the Russian Federation in the new postnonclassical, information period. The effective development of the legal system of education in the information period is impossible without taking into account previously accumulated traditions. The dynamics and logic of changes in the basic concepts of the education system used in these documents, their role in the information content of the modern domestic educational system, the formation of its development trends in the direction of entering the world educational system, the formation of a new person able to independently solve the most important tasks of modernity and find the optimal answers to its challenges.
Quotation As Basis For Education: Experience Of “Anthology” By Ioannes Stobaeus

The article discusses the educational choice of quotations by authoritative authors, proposed by an early Byzantine school teacher Ioannes Stobaeus, who lived in the 5th century AD, when the Western Roman Empire ceased to exist and the Eastern Empire was undergoing serious changes. It is shown how educational reading was formed in Late Antiquity, when the creation of a compendium of quotations became the basis for education and identity. Stobaeus grouped into a little more than two hundred chapters quotations and paraphrases from over five hundred ancient authors — poets and prose writers, authors of artistic, philosophical, historical, natural-philosophical, and other writings. By this, he created his own educational horizon for the culture that was still studied in the then schools and in the subsequent self-education. The authors reveal how the thematic distribution of authoritative, but not sacred, texts was teaching the Anthology reader the order of thought consistent with the logic on which, in Stobaeus’ opinion, the whole world, human thoughts and behaviors were built. The Anthology sought to fulfill the mission of the educational guide on all possible issues that its student might ask. The encyclopedic educational circle embraced issues related to the understanding of the physical world and issues related to the inner, spiritual one. The reader’s mind, which united these two principles, substantiated a peculiar “psychosomatics” of the pedagogical doctrine of the early Byzantine teacher and the author of one of the first anthologies in the history of European education.
The Image of the Profession of Correctional Teacher among Students of Higher Educational Institutions

The research is devoted to the study of the peculiarities of forming the image of the profession of correctional teacher. The article outlines the general concept of image and structure of the image of the profession of correctional teacher. The publication describes the features of the conscious and subconscious components of the image of the correctional teacher.Students are a special category of subjects perceiving the image of correctional teacher. The study showed that university students expect a corrective teacher to be in a dominant position, indicating that there are inadequate expectations about his profession. The subconscious component of the image of the correctional teacher at the students reflects the attitude of them to the correctional teacher, first of all not as a professional, but as to the same person as they themselves. As a result, students often attach the role of correctional educator to their people.Therefore, we consider it necessary to carry out measures for the pedagogical education of students regarding the features of the correctional profession and take measures to explain to the students the functions of the correctional teacher and the ways to improve the image of correctional and pedagogical assistance, the allocation of its positive aspects.
Discursive Strategies of Verbal Violence in the Users Comments on Facebook News Updates

This article explores how verbal violence on Facebook was performed by the users. It investigates the discursive strategy exploited by them. The data of verbal violence were taken from user comments to news update posted on Indonesian news portal fans pages under the topic of Paris tragedy. The comments were taken from four different Indonesian news fans pages, namely Detik.com, Kompas.com, Liputan6.com and Tribunnews.com. The collected data were analyzed qualitatively. Applying Discourse Historical Approach (DHA) proposed by Wodak, the result shows that the users exploits three strategies to perform verbal violence namely referential strategy, predicative strategy and argumentation strategy. Employing referential strategy, verbal violence is realized in the form of noun and noun phrase, which functions as subject, object and modifier of noun phrase. Employing predicative strategy, verbal violence is realized in the form of word, phrase and clause, which function as attribute or predicate. Employing argumentation strategy, verbal violence is realized in the form of sentence and discourse.
Prediksi Jumlah Produksi Tempe Kopti Menggunakan Logika Fuzzy Metode Mamdani PRIMKOPTI Serang

Capital is one of the problems faced by tempe producers, in each production, tempe producers issue capital that is erratic in order to influence. The level of production of tempeh it produces. In this study we will discuss how the application of fuzzy logic to the variable number of soybeans and the amount of yeast to predict the amount of tempe production. Data analysis was done by the mamdani method to find out the number of tempeh produced by craftsmen. The results of this study are in the form of three variables, namely 95 Kg of soybeans, 70 yeasts of spoonful and 487 pieces of tempe produced.
Non-Oppressive Pedagogics For Reformation Of Education

Revision of objectivist image of production and transfer of knowledge in favour of recognition of its active, personal nature allows to re-think traditional (patriarchal) pedagogy, characterised by high level of stress, standardisation, lack of creativity, rating system, unhealthy rivalry between students, and general insensibility to student’s personality which ultimately makes education lose its sense and meaning. No wonder, it creates breeding grounds for MOOC which challenge traditional cultural role of universities though often lack proper level of consistency and theoretisation. These conditions of traditional pedagogy are terminal and cannot be cured because they embody most characteristic features of patriarchal society with its masculinism, instrumentalism, and egotism. We are in need of designing a new educational milieu, proliferation of variety of pedagogics, that, while using different methods and communicative approaches share the idea of implementing non-oppressive teaching and educational strategies. These presuppose inclusion of personal experience of a learner into the core of educational practices. Renouncing the teacher’s privileged position of an expert and an authority figure is a necessary condition of converting classroom into a safe and inclusive place where knowledge is not passively absorbed but produced and experienced in joint efforts of the learning individuals. These pedagogics are (non)essentially egalitarian, cooperative and non-oppressive.
RiAiR: A Framework for Sensitive RDFProtection

The Semantic Web and the Linked Open Data (LOD) initiatives promote the integration and combination of RDF data on the Web. In some cases, data need to be analyzed and protected before publication in order to avoid the disclosure of sensitive information. However, existing RDF techniques do not ensure that sensitive information cannot be discovered since all RDF resources are linked in the Semantic Web and the combination of different datasets could produce or disclose unexpected sensitive information. In this context, we propose a framework, called RiAiR, which reduces the complexity of the RDF structure in order to decrease the interaction of the expert user for the classification of RDF data into identifiers, quasi-identifiers, etc. An intersection process suggests disclosure sources that can compromise the data. Moreover, by a generalization method, we decrease the connections among resources to comply with the main objectives of integration and combination of the Semantic Web. Results show a viability and high performance for a scenario where heterogeneous and linked datasets are present.