Reviewerly/exHarmony huggingface dataset:
Methodical potential of e-courses in distance education

The article deals with the effectiveness of distance education for students which depends on: the real time of education, the level of cognitive interests, the level of motivation for education, the establishment of the education system effective to each student and elaboration of e-courses. Special e-course “New tendencies in linguistics” elaborated on LMS MOODLE of Kherson State University «KSU Online» for first-year students obtaining master’s degree, aims at expanding their knowledge in Cognitive Linguistics, Semiotics and Pragmatics, presents learning material in a methodically unified form and creates conditions of its content usage in any place and at any time apart from the form of students’ education. According to the results of the investigation, the level of students’ autonomy while doing given tasks is increasing significantly as well as the amount of educational web-pages visits on open platforms.
Playful strategies for critical-creative thinking in five-year-old children

This research aimed to develop a model of playful strategies for the development of critical and creative thinking in 5-year-old children from the Educational Institution No. 284 of Bagua Grande, Amazonas region, Peru. The research was purposeful because the playful strategies model was formulated to develop these two thoughts. The data was collected through a test applied to 25 5-year-old children in the classroom and an interview guide for the teacher in charge of the school. As a result, it was found that more than 80% of the population presented a low level of critical and creative thinking in all its dimensions and that teachers do not use adequate strategies to promote these thoughts during the teaching-learning process. Therefore, it was concluded that playful strategies are valuable tools to develop critical and creative thinking in 5-year-old preschool children.
Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models

Previous works show that deep NLP models are not always conceptually sound: they do not always learn the correct linguistic concepts. Specifically, they can be insensitive to word order. In order to systematically evaluate models for their conceptual soundness with respect to word order, we introduce a new explanation method for sequential data: Order-sensitive Shapley Values (OSV). We conduct an extensive empirical evaluation to validate the method and surface how well various deep NLP models learn word order. Using synthetic data, we first show that OSV is more faithful in explaining model behavior than gradient-based methods. Second, applying to the HANS dataset, we discover that the BERT-based NLI model uses only the word occurrences without word orders. Although simple data augmentation improves accuracy on HANS, OSV shows that the augmented model does not fundamentally improve the model's learning of order. Third, we discover that not all sentiment analysis models learn negation properly: some fail to capture the correct syntax of the negation construct. Finally, we show that pretrained language models such as BERT may rely on the absolute positions of subject words to learn long-range Subject-Verb Agreement. With each NLP task, we also demonstrate how OSV can be leveraged to generate adversarial examples.
CHARACTERISTICS OF HUMAN SUPPORT BY THE OPERATORS’ CONSCIOUSNESS IN LEARNING COMMONS OF UNIVERSITIES

The purpose of this study is to survey the current situation of human support in learning commons of universities with science and engineering courses in Tokai area, and analyze it based on its operating policy to obtain useful knowledge for future improvement and updates. The results.
Competence analysis of artificial intelligence professionals

In the conditions of digitalisation, it is necessary to have the appropriate skills. Therefore, many applicants choose occupations in which information technology (IT) and programming knowledge is predominant. Comprehensive measures for preparing graduates in the context of digitalisation cover the formation of appropriate educational programmes. The aim of the study is to provide recommendations for improving the educational process in the field of artificial intelligence (AI) and machine learning based on comparing various programmes affecting the training of professionals in this field. The research uses the following methods. First, it is a sample survey, due to which 4 Russian universities that provide training in programmes in IT, are selected. Second, this is grouping and typology of basic educational curricula, professional standards and disciplines, due to which appropriate typological groupings, are constructed. That allows specifying requirements for knowledge, skills, and abilities necessary for specialists in the field of AI. A comparative analysis of professional standards taking into account the work of a modern specialist with digital skills has been carried out. The competence approach in the educational process has been defined, and the need for a professional standard for IT specialists has been identified. Based on the results obtained, recommendations have been prepared on the basic disciplines that need to be included in the educational programmes of universities to prepare competitive graduates.
Blockchain-Based Contact Tracing and Information Sharing Model for COVID-19 Pandemic

COVID-19 is the worst contagious disaster in the history of humankind, triggering a worldwide sickness pandemic. In lacking specialized treatments or immunizations, finding and eliminating the infection source is the best option to decrease disease transmission and lower sickness and degree of fatality among the general public. Generally, few significant barriers are present in the existing system of monitoring the contamination. One of the obstacles is regarding health-related data storage. The user’s e-health data is kept in a traditional method that might have been compromised if shared with third parties. Secondly, the current disease tracking technologies fail to monitor diseases numerous ways. The tracing system is either personal or location-based. Apart from these, gathering individual consent and sharing their health data with unknown associations is a real-time problem. We propose a blockchain-based data system that maintains confidentiality with transparency. Users can acquire unlimited and nontampered vital routes as the suggested blockchain solution leverages to link the user/patient and approved solvers. Also, automatically executed smart contracts are constructed to desensitize the user ID and reallocation. The anonymous feature delivered by private blockchain with wireless technologies defends the customer’s identity secrecy. We develop a matching approach using machine learning technology. Users may take safeguards in advance by employing our suggested analytical technique for predicting the risk due to infectious source presence.
Recommender System for an E-commerce Web application

Abstract: The huge measure of item data on the Web is awesome difficulties to the two clients and online organizations in the ECommerce condition. Clients every now and again encounter trouble in scanning for items on the Web. To solve the information overload problem of Ecommerce, researchers have proposed recommendation system. Today people are overflowed with numerous choices on web. Recommender system gather data about the thing as indicated by the inclinations of the clients. Recommender system are effectively executed in various web based business setting. The major ones of these techniques are collaborative based filtering technique, content-based technique, knowledge based and collaborative filtering, Case based reasoning and web log file algorithm and hybrid algorithm. The objective of this paper is to show various techniques being used for recommendation system &amp; issues of recommendation system. Keywords: Case based reasoning(CBR) &amp; Web Log File(WLF) , Collaborative Filtering(CF), Content Based Filtering Hybrid Filtering , Knowledge based filtering, Recommendation System(RS) , Types of the recommendation system
Matching recovery threshold for correlated random graphs

For two correlated graphs which are independently sub-sampled from a common Erd\H{o}s-R\'enyi graph $\mathbf{G}(n, p)$, we wish to recover their \emph{latent} vertex matching from the observation of these two graphs \emph{without labels}. When $p = n^{-\alpha+o(1)}$ for $\alpha\in (0, 1]$, we establish a sharp information-theoretic threshold for whether it is possible to correctly match a positive fraction of vertices. Our result sharpens a constant factor in a recent work by Wu, Xu and Yu.
An Efficient Corner Detector Using Ratio of Center Distance of Symmetric Contour Technique

Feature detection is one of the basic research topics in the fields of image processing and corner that has been widely applied on vehicle detection, UAV image matching, camera calibration and so on. Particularly, a fast corner detector is of much benefit to many real-time tasks. A novel discrete curvature estimation method for corner detection based on the ratio of center distances of symmetric contour (RCDSC) is proposed in this paper. Benefiting from calculating the Euclidean distance twice only to estimate the discrete curvature at each point on a contour, RCDSC is much fast compared with other corner detectors. In addition, by choosing a relatively large radius of region of support and employing relative distance instead of absolute distance for constructing corner response function, RCDSC is also much robust to noises and local variations of contour. Extensive experiments exhibit the effectiveness and the efficiency of RCDSC in terms of average repeatability (AR), accuracy (ACU) and localization error (LE).
Blockchain-Based Convolutional Neural Network E-Voting Scheme

SQL injection attack is now the most common server-side attack in web applications whereby malicious codes are injected into the database through user input fields by unauthorized users, and this could lead to data loss or in the worst case, to database hijacking. The utilization of blockchain technology in e-voting applications is not a new thing. Many systems have been proposed using cryptography and other security techniques. In those systems, minimal involvement of the third party is observed; a problem of coercion resistance and transparency maintenance at the same time is observed and most processes have not been implemented to evaluate the systems further. This paper applies the cryptographic signatures to validate the origin and integrity of the votes by preserving the voters’ choices during the election process. Then, the convolutional neural network (CNN), a regularized version of the multilayer perceptron in the system, is also applied to analyze visual imagery upon registration. Furthermore, authors provide several possible extensions and improvements that can be made as an addition to the scope of this research.
Pengembangan Sistem Pakar Identifikasi Modalitas Belajar Siswa Menggunakan Metode Forward Chaining dan Certainty Factor

Teachers or educators find it difficult to determine student learning modalities at SMK PGRI 2 Serang City during online and offline learning. Online and offline learning must also be interesting and clear, not only images and text, but must be more interactive, because students have different learning modalities. So that in carrying out online learning the teacher must know the learning modalities of his students in order to make it easier to carry out online and offline learning. So it is necessary to create an expert system that can identify the learning modalities of students and also the accuracy of the expert system, the feasibility of efficient and effective learning modalities in online and offline learning. The stages of developing this website-based expert system design system use the waterfall method. The system development is in stages in 4 stages, namely the needs analysis stage, the design stage, the coding or implementation stage, and the system testing stage. The subjects in this study were 2 media experts, 4 teachers 1 school admin staff, and 36 students. Based on research results from testing the feasibility level of the system or product from media experts, namely 68.5 with these results it means the expert system website is in the "very feasible" category, then the results of testing the feasibility level of the expert system from users (teachers and students) are 94, 8 and 92.75 with these results in the "very feasible" category
FORMATION OF STUDENTS' READINESS FOR SELF-MANAGEMENT AS AN URGENT PROBLEM

This article deals with one of the most important problems in the sphere of éducation now - the problem of formation of readiness of students to the self management.
Psychological states of professional anxiety and job perceptions of university students

One of the areas that have an important place in the professional competence of students studying at universities is their psychological competence. Professional concerns are also included in the fields of psychological competence. It is important for students to be ready in every field to ensure their professional competence. For this purpose, in this study, it was aimed to determine the opinions of the students studying at the university on the level of professional skills. In this context, 85 students studying at the university in the 2020–2021 academic year were interviewed and their opinions on their sectoral expectations and professional uncertainties in their professional lives were taken. Before the research, official permission from the relevant institution and verbal participation approval from the students were obtained. In order to reach the research finding, four semi-structured interview questions were asked by the researcher by taking expert opinions. The results of the research were explained in detail with the content analysis method. As a result of the findings obtained from the research, it was revealed that their anxiety about the department was high, they were undecided about choosing the right department and the education they received was insufficient.&#x0D; &#x0D; Keywords: Education, profession, psychological, psychological competence, student, anxiety, university;
A Mixture of MLPNN/HMM to Demonstrate the Procedure for Online Hindi Writing Recognition

Purpose: This presented work demonstrates a mixture of the MLPNN/HMM model for operational Hindi writing recognition. The planned structure is proposed on behalf of HMMs and various-Layer Perceptron Neural Linkages. Signal of input is generated toward uninterrupted knocks named segments constructed proceeding of the Elliptical approach through scrutinizing the extremisms arguments of the rounded rapidity outline. The linkage of neural accomplished through subdivision near relative evidence stays castoff near-abstract course atmosphere prospects. Proposed outcomes of that system remain translated through HMMs towards run after attractiveness of equal credit. Now appraisals are scheduled to DBMs Hindi database which proficient 97.8% attractiveness appreciation exactness that signifies statistically significantly imperative trendy evaluation through attractiveness appreciation exactitudes attained after advanced online Hindi systems. Design/Methodology/Approach: Developing a mixture of the MLPNN/HMM model for operational Hindi writing recognition. Findings/Result: Based on the proposed model that system remains translated through HMMs towards run after attractiveness of equal credit. Now appraisals are scheduled to DBMs Hindi database which proficient 97.8% attractiveness appreciation exactness that signifies statistically significantly imperative trendy evaluation through attractiveness appreciation exactitudes attained after advanced online Hindi systems. Originality/Value: A new conceptual mixture of the MLPNN/HMM model has been proposed for operations of Hindi writing recognition techniques based on Perceptron Neural Linkages. Paper Type: Conceptual Research.
An analysis on the International Baccalaureate framework for educational contents: Focusing on the IB PYP

IB PYP is a program that implements concept- and inquiry-based education within a transdisciplinary approach. The purpose of this study is to analyze the characteristics of the IB PYP educational contents framework provided by IBO to support the school curriculum and unit design of IB schools and to explore their implications. For this purpose, ‘scope and sequence’ documents for each subject corresponding to the educational contents framework of PYP were analyzed. As a result of the study, social studies and science framework are presented in a form that can implement transdisciplinary integration. On the other hand, language and mathematics are framework that promote PYP inquiry, and arts and personal, social and physical education (PSPE) enrich transdisciplinary learning and take into consideration the personal and social well-being and health of learners. There is a difference in the way of approaching the educational contents framework. Finally, supporting a framework for the realization of transdisciplinary curriculum integration, refocusing on the role of each subject from a transdisciplinary perspective, suggesting key concepts that can connect subjects and implement concept-based instruction, and presenting conceptual understanding and central ideas in order to transfer what has been learned to other learning and life are derived and discussed as implications.
Intelligent architecture of space unmanned system with learning and reasoning capabilities

Spacecraft represented by satellites, manned spaceships, and deep space probes are typical unmanned systems that are developing from automation to autonomy. To improve the adaptability and intelligent autonomy level of spacecraft to unknown space environments and complex space tasks, an intelligent architecture of space unmanned system with learning and reasoning capabilities is designed and the architectural components and functions are proposed. Then, the operating mechanism of learning and reasoning capabilities in the architecture are analyzed, and the solutions for key technologies, such as the construction, update, and expansion methods of the action and knowledge libraries, are proposed. Finally, through an example of the extraterrestrial surveying and sampling task, the process of new knowledge generation, knowledge-based reasoning, and autonomous task execution under this intelligent architecture, as well as the interaction between the knowledge library, environment, task, and action library, are explained.
Tasks and features of patriotic education of students at a technical university

The formation of high moral qualities and patriotic ideals among young people is one of the main tasks of modern education. Patriotism is the basis of state security. Students of a technical university, future engineers are carriers of knowledge about innovative technologies. Special attention should be paid to the patriotic education of students of a technical university. The research conducted in the chapter shows an insufficient level of patriotism among students. The directions of work with students in the process of teaching are shown. If the teacher is a patriot, his students will also become patriots. Attention should be paid to the education of migrants who study at Russian universities. They should become patriots of their new homeland. The stages of patriotic education are distinguished: motivational, project, analytical.
CONDUCTING EDUCATIONAL WEBINARS IN ART INSTITUTIONS OF HIGHER EDUCATION IN THE CONTEXT OF THE COVID-19 PANDEMIC

The purpose of the article is to identify and analyze the forms and means of conducting educational webinars in art institutions of higher education that provide effective professional training in the context of distance learning using web resources, and to explore the significance of educational webinars in modern conditions. The research methodology is based on an interdisciplinary synthesis of scientific methods and approaches integrated from pedagogy and art history; general scientific methods of analysis, synthesis, generalization. The scientific novelty of the article lies in highlighting the advantages and disadvantages of distance learning in the acquisition of value orientations, aesthetic experience and special abilities in the educational process. The article discusses the method of distance learning ‒ a webinar. The perspective of this method as a form of communicative interaction is indicated, which increases the possibilities of creative activity of applicants for education, acquiring a set of performing, professional competencies aimed at the artistic and creative self-realization of the individual in various types of art, in comparison with traditional teaching methods. The main stages of organizing and conducting webinars are outlined. Ways to improve their efficiency are considered. The problems and prospects of using webinars as a model of social interaction between a teacher and a student in the field of distance education are analyzed. The online method of teaching was studied with a focus on achieving a given level of competence and professionalism in mastering information and communication technologies.&#x0D; Keywords: webinar; distance education; blended learning; information; competencies; online learning; offline learning; computer technology.
Rethinking Graph Neural Networks for Anomaly Detection

Graph Neural Networks (GNNs) are widely applied for graph anomaly detection. As one of the key components for GNN design is to select a tailored spectral filter, we take the first step towards analyzing anomalies via the lens of the graph spectrum. Our crucial observation is the existence of anomalies will lead to the `right-shift' phenomenon, that is, the spectral energy distribution concentrates less on low frequencies and more on high frequencies. This fact motivates us to propose the Beta Wavelet Graph Neural Network (BWGNN). Indeed, BWGNN has spectral and spatial localized band-pass filters to better handle the `right-shift' phenomenon in anomalies. We demonstrate the effectiveness of BWGNN on four large-scale anomaly detection datasets. Our code and data are released at https://github.com/squareRoot3/Rethinking-Anomaly-Detection
PSYCHOLOGICAL FEATURES OF PERCEPTION OF CREATIVE ADVERTISING

In the article the psychological features ofperception o f Creative advertising and primary factors o f Creative advertising as Creative process are uncovered.
The The Parents’ Role in Paired Reading (PR) Method for Fifth-Graders Reading Ability at Madrasah Ibtidaiyah (MI)

The researcher’s goal is to elaborate in detail on the parents’ role and explain the steps of parents’ role in the Paired Reading (PR) method for fifth-graders reading ability. The researcher carried out the qualitative approach, which describes the data after observations. A total of five parents were involved in this research as a participant. Data were collected by using interviews on Whatsapp with ten questions for each parent as a participant in this research. The findings indicated that parents have a crucial role in assisting their children in improving their reading ability. They played their role as teachers, motivators, and facilitators. Parents acted as a teacher to provide examples of correct pronunciation. Then, working as a motivator to motivate their children in English reading was fun and useful. Finally, parents acted as a facilitator by providing a comfortable learning environment. Therefore, parents’ role in the Paired Reading (PR) method is considered effective in improving children reading ability. Keywords:Parents’ Role, Paired Reading (PR) Method, Reading Ability