Reviewerly/exHarmony huggingface dataset:
Cognitive Activity Of Students In The Circumstances Of The Educational Environment Informatization

The article is dedicated to solving the scientific problem of the formation of cognitive activity of students of a medical university in the process of studying natural sciences in the circumstances of informatization of the educational environment. The purpose of the article is to identify the effectiveness of the use of information digital technologies in the process of formation of cognitive activity of students of a medical university. The study is based on the analysis and generalization of psychological, pedagogical, methodical literature on the problem of research. The main research methods were: observation, questionnaires, analysis of the results of educational activities, survey, testing, methods of statistical data processing. A focused training experiment in the process of studying natural sciences was built on the basis of the systematic use of such digital teaching technologies as: multimedia lectures with video demonstrations of physical experiments, virtual laboratory work, web quests. During the study, the components of the studied quality of the students were identified; the possibilities of digital information technologies’ impact on the formation of this quality of students are revealed; the pedagogical conditions of the effective use of information digital technologies in the formation of cognitive activity of students of a medical institute in the process of studying natural sciences are highlighted. The results of the study showed that the created pedagogical conditions based on the use of digital information technologies provide positive dynamics in the development of the levels of the studied quality of students of a medical institute.
Volunteering Of Future Teachers In The Context Of Educational Inclusion

One of the most pressing at present is the possibility of integrating the classroom and extracurricular activities of students, which contributes to the formation and development of their professional competence. In the context of the study, the volunteer activities of future teachers are seen as а part of their professional competence. In particular, the authors consider the possibility of using volunteering as a type of practice-oriented activity of future teachers in the process of their preparation for work in an inclusive educational process. Information-cognitive, motivational-value and operational-efficient components are allocated to describe the holistic structure of readiness for volunteer activities of students of pedagogical specialties. The authors of the article cite the results of a pilot study on comparative analysis of the formation of components of readiness for volunteering in future defectors and students of pedagogical specialties. The need to form components of the readiness to volunteer students of various pedagogical specialties has been identified and justified. On the basis of the study, some recommendations have been made to prepare future educators of different profiles for volunteering as a practice-oriented activity within the framework of a competent approach with based on the experimental obtained data, which may be useful to university leaders and faculty.
Developing Creative Competence of a Future Teacher of Foreign Languages on the Basis of Special Exercises

The purpose of the study is to work out special exercises for developing creative competence in future teachers of foreign languages. The article substantiates the necessity of developing creative competence in future teachers, analyses this notion and offers exercises in a foreign language. Scientific novelty of the research lies in specifying the notion “creative competence of a foreign language teacher”, identifying the conditions under which creative competence is formed at a pedagogical university, working out exercises in a foreign language to develop creative competence in the students pursuing a degree in “Pedagogical Education”. As a result of the study, special exercises in a foreign language are worked out, which make it possible not only to form foreign-language communicative competence but also to propel the development of creative competence in future teachers of foreign languages.
How to tell about errors not boringly: methodological analysis of expounding the basis of data processing

The authors continue to report about results they have obtained in the process of creating a special introductory one-semester Laboratory Physics course «Search for Physics laws». It is known that the teaching experience and the results of the performed tests show that most students do not acquire the basic skills for conducting an experimental research. This course was built on the basis of the algorithm of systematic construction of students’ skills for carrying out an experimental research. The authors have used Galperin’s stepwise teaching procedure which was developed on the assumption that learning any kind of knowledge involves different kinds of actions. The authors have analysed different ways of how to expound the basic ideas of data analysis, and shown their connection with the point, syncretic and training-interval paradigms. Action diagrams are provided for each type of expounding. As an example of using the training-interval paradigm for teaching first-year students of a technical university, a specially designed lab session is presented in the article. The topic of the session is “The concept of a confidence interval”. Laboratory Work 1 “The Buffon-de Morgan Experiment”. This lab session meets several important requirements: a) the number of computations is minimised; b) a directly measurable quantity is considered; c) students are provided with a “fulcrum” in the form of a priori known true value of a quantity. A general view on measuring physics quantities is summarised in four quite unexpected for students “unpleasant axioms”: 1) none of measured values coincides with the true value of a quantity; 2) the mean of measured values does not coincide with the true value of a quantity; 3) even if, by a lucky chance, one of measured values or the mean coincided with the true value of a quantity, we would never know about it; 4) a confidence interval catches the true value of a measured quantity only in 68% of cases. The authors claim that the presented lab lesson allows demonstrating the equity of these “axioms” clearly and vividly, and that the organised laboratory sessions in the new way are signiﬁcantly more successful in improving students’ basic skills of error analysis than traditional laboratory sessions.
#01-#06—plug-ins

Dataset with 6 flyers (1HEX) with a structure of a modular diary (1 made and dated each day of a week). The modules are: a) attempt; b) try again; c) do something else; d) come back; e) unlearn; f) crossover.
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Didactic Resonance In Organizing The Work Of Schoolchildren With Educational Text

The article proposes the idea of didactic resonance in organizing the work of schoolchildren with educational text. Work with the educational text is considered as a purposefully organized resonance-selective interaction in the subject-object system “teacher - educational text - student”, in which certain characteristics of the text activate specific universal educational actions performed by the student. The authors discuss the results of the analysis of the content of 5th grade textbooks on the requirement of ensuring meta-subject matter. The analysis reveals that the meta-subject potential of educational texts is poorly realized. The paper clarifies the concept of the educational text as a structural unit of the educational content, with the ability of resonant interaction with the student, updating certain universal educational activities. The authors propose a scheme to organize the work of primary school students with the educational text realizing the idea of double didactic resonance. During the first resonance cycle the teacher selects the educational text and develops tasks for the students to achieve certain meta-subject results in the lesson. The second cycle occurs when students interact with the educational text by performing the universal educational actions planned by the teacher. To simplify the work of teachers, the authors developed a task designer for the formation of meta-subject educational results when working with educational text. The authors discuss a positive experience of the implementation of didactic resonance concept in the organization of the work of primary school students with the educational text.
A Context Aware Framework for IoT Based Healthcare Monitoring Systems

This paper introduces an investigation of the healthcare monitoring systems and their provisioning in the IoT platform. The different roles that exist in healthcare systems are specified and modeled here. This paper also attempts to introduce and propose a generic framework for the design and development of context aware healthcare monitoring systems in the IoT platform. In such a framework, the fundamental components of the healthcare monitoring systems are identified and modelled as well as the relationship between these components. The paper also stresses on the crucial role played by the AI field in addressing resilient context aware healthcare monitoring systems. Architecturally, this framework is based on a distributed layered architecture where the different components are deployed over the physical layer, fog platform and the cloud platform.
The use of methods of compositional data analysis for the separation of geochemical signals in fluvial sediments

&amp;lt;p&amp;gt;Fluvial sediments datasets, similarly as other types of a concentration based data, are typical by their relative nature and therefore they need preprocessing or normalization prior to the main statistical analysis. In the geochemical practice, several normalization methods are used, like a simple normalization of the target element concentration with the concentration of the reference (conservative, lithogenic) one, double normalization or concentration conversion to local enrichment factor. As an alternative to these methods, the approach using the principles of compositional data analysis (CoDA) can be considered.&amp;amp;#160; Instead of the standard statistical analytical methods, like ordinary least squares regression, correlation of principal component analysis (PCA), applied on the raw or the target element normalized concentrations, the CoDA methods consider the relative structure of the whole dataset. CoDA together with the use of robust statistical methods, which are down weighting the influence of the outlying observations, have a potential to provide more accurate results. This property is demonstrated and discussed on the base of dataset from mapping the sediments from the Skalka Reservoir in the Oh&amp;amp;#345;e River, Czech Republic, and its tributaries. Mainly the performance of the robust versions of regression, correlation and principal components analysis, respecting the CoDA principles, will be presented and the way to them will be explained.&amp;amp;#160;&amp;lt;/p&amp;gt;
Comparative Analysis of Various Techniques in Shape Detection

Shape recognition is an important aspect in Computer Vision. From the point of view of different object recognition problem has been solved and some of the modifications in the method of recognition is still ongoing. This is the main reason that the identification form used in applications with a large number of major challenges, including sound, degradations. In this paper a number of forms of identification methods have been defined from which researchers can get an idea for an efficient technique modified.
Locally distinguish orthogonal quantum states with entanglement resources

It is known that many sets of orthogonal quantum states, which cannot be distinguished perfectly by local operations and classical communication (LOCC), have been constructed. However, these discussions have left the following open question: How many entanglement resources are necessary and/or sufficient for this task to be possible with LOCC? In this paper, we present a local discrimination protocol which uses entanglement more efficiently than teleportation to distinguish one class of orthogonal product states in 3⊗3⊗3. Then, we generalize it for 3⊗3⊗...⊗3 quantum systems which has 3n parties. For the open question, our results offer rather general insight into why entanglement is useful for such tasks, and present a better understanding of the relationship between entanglement and nonlocality.
Analisis Percakapan dalam Kegiatan Belajar Mengajar

ABSTRACT. Public speaking is a very important thing to be mastered by someone nowadays. This is because public speaking can help someone to speak up their opinions or even share their knowledge and information to the public. Many people think talking in front of people is something that is very forbidding. Therefore from that, by given all the experiences he had, DJ Arie as a public speaker who was graduate majoring in communication at the Bandung Islamic University, established a public speaking training place for those who want to learn about public speaking techniques called DJ Arie School of Public speaking. This study use a qualitative research method with an ethnomeological approach according to Harold Garfinkel and conversation analysis by Alain Coulon to be able to analyze conversations in teaching and learning activities at DJ Arie School of Public Speaking. The data collection technique used in this research is through direct observation, literature study and interviews and is equipped with documentation. The research subject is DJ Arie as the speaker or communicant at DJ Arie School of Public Speaking who will analyze the conversation and his gestures in delivering the material. The results of the research found by the researcher indicate that the conversations by the speakers in teaching and learning activities at DJ Arie School of Public Speaking have two forms of expression, namely indicative expressions and natural expressions. There are 16 gestures which has meaning in every gesture. Keywords: verbal communication, non verbal communication, gestur, public speaking practice.
Personal interest in the formation of the subjective position of the future pre-school teachers

The article reveals the essence of the subjective position of future preschool teachers in the process of vocational training. The content of the concepts such as «subject», «subjectivity», «subjective position» is characterized; the essence of the concept of «personal interest» is clarified. The author’s understanding of the student’s subjective position is a well-established system of his attitude to professional education, personal self-expression in the educational process of higher educational institution, to his own «Self» – his abilities, potential opportunities, individual peculiarities of mental processes (thinking, speaking, memory, imagination, etc.). As a quality of personality, the subjective position of the student is the manifestation of his positive and active attitude to his own professional training at university, cognitive activity, own efforts, specific actions, concrete acts, independence in determining the individual path of theoretical and practical learning, personal responsibility for formation of professional competence. The student’s personal interest in professional training is characterized as his aspiration, focus on deep knowledge of the future profession, manifested in cognitive needs, professional orientation, a conscious understanding of the purpose of future professional activities, responsible attitude to the tasks and content of professional training. The role and main ways of development of personal interest of the student to professional training and formation of a subjective position of the future teacher of preschool education in this process are defined.
A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset

Action recognition is currently one of the top-challenging research fields in computer vision. Convolutional Neural Networks (CNNs) have significantly boosted its performance but rely on fixed-size spatio-temporal windows of analysis, reducing CNNs temporal receptive fields. Among action recognition datasets, egocentric recorded sequences have become of important relevance while entailing an additional challenge: ego-motion is unavoidably transferred to these sequences. The proposed method aims to cope with it by estimating this ego-motion or camera motion. The estimation is used to temporally partition video sequences into motion-compensated temporal \textit{chunks} showing the action under stable backgrounds and allowing for a content-driven temporal sampling. A CNN trained in an end-to-end fashion is used to extract temporal features from each \textit{chunk}, which are late fused. This process leads to the extraction of features from the whole temporal range of an action, increasing the temporal receptive field of the network.
Contextual Analysis Of The Professional-Value Orientations Of University Graduates In Management

The value foundations of an individual personality determine largely the future direction of the development of the individual and society as a whole. Changes in the traditional characteristics of society affect the focus of its members and are manifested in their actions and relationships. In the context of the digitalization of the economy, Russian society needs a transformation of the Russian educational environment, which sets the development vector. According to the authors, value self-determination in a university, the transformation of the system of value orientations for the successful implementation of future professional activities, are important parts of the transformation of the educational system. The authors identified the problems of students' value-based self-determination in a university, highlighting the role of the educational system of universities as an object and subject of management using the induction method in generalizing descriptive, abstract-analytical and statistical forms. The article analyzes the current situation in the educational environment on the basis of a study of the value orientations of full-time and part-time students, representatives of generations X, Y and Z, in the managerial direction in order to understand the significance and characteristics of values in the context of future professional activity. It is proposed to transform the values and activities of university students through the use of problematization and reflection tools in the framework of traditional and modern educational technologies.
Using GPU based Edge Computing for Federated Machine Learning

A Today availability of data for machine learning model training is challenging due to data sovereignty restrictions. There are added issues like scaling, cost, latency, etc. when transferring data from the filed or remote regions to core cloud regions for processing and training purposes. This paper focuses on the role of GPU shapes at the edge of the cloud for federated machine learning (ML) training. Federated ML training is recommended to address customer requirement around data sovereignty and other restrictions surrounding streaming or real time data transfer back to a central cloud region. Customers like to use centralized cloud regions to address impacts due to increased latency and associated link costs and lack of data diversity. This paper proposes a solution to implement federated machine learning at the Cloud’s edge point of presences using GPU based computing nodes. In addition depending on industry segments or regional requirements, the inference can also place at the edge. The training data or the inference data are aggregated at the core regions. We will discuss some new developments targeted at this space.
FastSal: a Computationally Efficient Network for Visual Saliency Prediction

This paper focuses on the problem of visual saliency prediction, predicting regions of an image that tend to attract human visual attention, under a constrained computational budget. We modify and test various recent efficient convolutional neural network architectures like EfficientNet and MobileNetV2 and compare them with existing state-of-the-art saliency models such as SalGAN and DeepGaze II both in terms of standard accuracy metrics like AUC and NSS, and in terms of the computational complexity and model size. We find that MobileNetV2 makes an excellent backbone for a visual saliency model and can be effective even without a complex decoder. We also show that knowledge transfer from a more computationally expensive model like DeepGaze II can be achieved via pseudo-labelling an unlabelled dataset, and that this approach gives result on-par with many state-of-the-art algorithms with a fraction of the computational cost and model size. Source code is available at https://github.com/feiyanhu/FastSal.
Reversely Discovering and Modifying Properties Based on Active Deep Q-Learning

Many researchers studied DQN (Deep Q-Networks) to train a game AI to beat human players, while we trained an improved AI to reversely modify properties of 3D video games. Our ultimate objective is to improve automatic debug for software and cloud services. However, the problem that reversely discovers properties in online 3D Video Games in an automatic way has not been studied yet. Therefore, related special difficulties are first discussed in the paper. RMDQN (a Reverse Method based on our active Deep Q-Networks) is proposed to deal with the problem, and an active DQN is invented to make the reverse procedure automatic and intelligent. The action engine of RMDQN is able to control any operational game object like a player is playing, which makes automatic debug possible. A video demonstration is provided to show the result of reversely modifying game properties by our method. It was proved that our method can improve debug technology in 3D video games, and it will be applied in cloud services with few modifications.
Meaningful Aspect of Using Video Materials as Means to Develop Learners’ English-Language Communicative Competence

The article considers the problem of using video materials when forming learners’ English-language communicative competence, the emphasis is made on the issue of video content security. The use of video materials promotes formation of learners’ linguistic culture and is in tune with modern ergonomic and pedagogical requirements for educational process organization. The article provides a classification of video content and analyses criteria for choosing video materials taking into account their secure use in foreign language teaching. Scientific originality of the study is conditioned by the fact that the choice of educational video materials is considered from the viewpoint of developing learners’ English-language communicative competence and taking into account security of video content and also by the fact that the authors analyse information security risks associated with the use of digital content in educational process. The research findings are as follows: the authors prove that video materials satisfying the basic methodological principles and information security criteria help to overcome cultural and language barrier when learning a foreign (English) language, stimulate learners’ cognitive processes and are safe for target age groups of learners, taking into account modern ergonomic and pedagogical requirements.