Reviewerly/exHarmony huggingface dataset:
Physical Training of International Students at University: Educational Potential of Teaching Experience

The article updated the issue of new approaches to physical education (also known as Phys Ed) of Russian university students in the context of Internationalization in higher education. The research conducted in the field of defining peculiarities of Russian university's physical education aspects at the current stage of university Internationalization. The research results fall into two types: first, to identify urgent professional development's priorities of the university Phys Ed professor as an instructor as well as a subject of the International teaching and learning interaction; second, to determine current trends of students' Phys Ed in the university global environment, and to distinguish the most productive forms, methods, and means of Phys Ed in the Internationalization process. The research centered on two Universities of the city of Tomsk, Russia. The applied methods were the following: first, interviews and questionnaires, involved observations, and the expert assessment method. The authors offer well-reasoned organizational and educational answers to ensure the successful integration of the physical and International education of Russian university students.
Development of blended learning in universities

The aim of the present study is to discover the optimal conditions, including organizational and legal conditions, for the introduction of blended learning in the higher education system. To achieve the defined objective, the authors analyze the legal regulations that govern the use of various forms of education in the higher education system in general and distance learning in particular and assess the need for the implementation of hybrid education in the Russian Federation at the present time. Based on the research carried out on normative acts, the authors conclude that distance education presents an educational technology and can, therefore, be used as a means of organizing the educational process in the realization of an educational program through any type of learning including the full form of time in accordance with the local regulations of the educational organization in question. It is demonstrated that the implementation of individual principles and approaches in international practice can contribute to the solution of the specific problems of implementation and use of blended learning.
A Novel Measure for Dynamic Outlier Detection from Large Databases

In the applications like data mining where business intelligence (BI) is the expected outcome, thepresence of outliers can have negative impact. Thus outlier detection became significant research area in theconfines of data mining. The existing algorithms used to detect outliers are effective and used in many realworld applications. However, those algorithms are less efficient, especially, the density-based algorithmscannot leverage performance with datasets possessing densities or when datasets exhibit clusters of differentshapes. In order to remove these barriers, we proposed a methodology that captures density variations of atest point efficiently for outlier detection with high accuracy. It is a two-fold process in which and potentialinfluence space for a dataset is determined followed by a novel measure to find outlierness based onabsolute density associated with potential influence space and neighbourhood rank difference. An OutlierScore-based Detection (OSD) algorithm is proposed and implemented. A prototype-based application hasbeen built to validate the hypothesis. Experiments made on UCI datasets and synthetic datasets revealed theperformance in terms of efficiency in comparison between the proposed and the other existing state of theart methods.
Development of a management system for educational projects in the context of distance education

Abstract In 1975 A. D. Ursul introduced the concept of "information explosion" to denote a constant increase in the speed and volume of information on the planetary scale. The information crisis was consequence of this explosion-a decrease in the efficiency of information use, when the existing methods of searching, collecting, processing, storing information do not allow to use all its enormous potential. Scientists who do not have time to keep track of recent publications in their specialization were the first who faced this problem. But now this problem has captured almost all types of human activity. In education, this has led to the introduction of new technologies. The distance learning one of them. By creating new opportunities for access to information, this form also creates new problems. The design and transmission of the theoretical block is simplified, but the organization of practical classes and the passage of all types of practices requires the creation of new methods of interaction between students and teachers. The decrease in the number and intensity of personal contacts in distance learning makes it problematic to form many types of competencies that require direct participation in activities. The article is devoted to one of the ways to solve this problem-the use of tools and methods of project management and solving problems in the organization of distance education. It analyzes both existing experience and proposes tools from the field of project management and quality management that have not been previously used in education.
Geometric Pattern Matching Reduces to k-SUM.

We prove that some exact geometric pattern matching problems reduce in linear time to o k-SUM when the pattern has a fixed size k. This holds in the real RAM model for searching for a similar copy of a set of k ≥ 3 points within a set of n points in the plane, and for searching for an affine image of a set of k ≥ d+2 points within a set of n points in d-space.As corollaries, we obtain improved real RAM algorithms and decision trees for the two problems. In particular, they can be solved by algebraic decision trees of near-linear height.
Immersive Learning Technologies in English Language Teaching: A Systematic Review

The aim of this study was to examine the trends and fundamental findings regarding immersive learning technologies in English Language Teaching (ELT) between 2010 and 2019. Employing a systematic review research methodology, data was gathered from 59 academic articles published with EBSCOhost, ERIC, Web of Science, and Taylor & Francis. The studies were analyzed using a content analysis approach, and findings demonstrated that immersive learning technologies in ELT came to prominence in 2017. Mixed methods research was the mostly widely employed research method. The most studied language skill was vocabulary for augmented reality and speaking for virtual reality. The results also revealed advantages and challenges with regards to the use of immersive learning technologies in ELT. Further analysis illustrated the findings related to characteristics of immersive learning technologies in ELT. Based on this review, research and design implications for researchers and practitioners are presented.
Building the Picture Behind a Dataset

As part of the European Commission funded FREYA project The British Library wanted to explore the possibility of developing provenance information in datasets derived from the British Libraryâ€™s collections, the data.bl.uk collection. Provenance information is defined in this context as â€˜information relating to the origin, source and curation of the datasetsâ€™. Provenance information is also identified within the FAIR principles as an important aspect of being able to reuse and understand research datasets. According to the FAIR principles, the aim is to understand how to cite and acknowledge the dataset as well as understanding how the dataset was created and has been processed. There is also reference to the importance of this metadata being machine readable. By enhancing the metadata of these datasets with additional persistent identifiers and metadata a fuller picture of the datasets and their content could be understood. This also adds to the veracity and understanding the dataset by end users of data.bl.uk.
Lane Mark Detection Algorithm Based on Deep Learning

Lane mark detection is a critical part of automatic driving or Advanced Driving Assistant system (ADAS). Due to the diversity and complexity of environment, it is still a challenge to detect lane mark accurately and efficiently. This paper studies lane mark detection technology based on computer vision and presents a lane mark detection algorithm using deep learning convolutional neural networks. The proposed approach mainly consists of the following steps: first, data augmentation and data clean are applied to the datasets; and then a new neural architecture similar to U-Net is designed. In this structure, EfficientNet is adopted as its backbone. Finally, the empirical result shows that the proposed method can achieve high detection accuracy and strong robustness in many different road scenes.
Evolving robust neural architectures to defend from adversarial attacks

Neural networks are prone to misclassify slightly modified input images. Recently, many defences have been proposed, but none have improved the robustness of neural networks consistently. Here, we propose to use adversarial attacks as a function evaluation to search for neural architectures that can resist such attacks automatically. Experiments on neural architecture search algorithms from the literature show that although accurate, they are not able to find robust architectures. A significant reason for this lies in their limited search space. By creating a novel neural architecture search with options for dense layers to connect with convolution layers and vice-versa as well as the addition of concatenation layers in the search, we were able to evolve an architecture that is inherently accurate on adversarial samples. Interestingly, this inherent robustness of the evolved architecture rivals state-of-the-art defences such as adversarial training while being trained only on the non-adversarial samples. Moreover, the evolved architecture makes use of some peculiar traits which might be useful for developing even more robust ones. Thus, the results here confirm that more robust architectures exist as well as opens up a new realm of feasibilities for the development and exploration of neural networks. Code available at this http URL.
The notion of ‘word’ in Makary Kotoko

Based on criteria proposed by Dixon and Aikhenvald (2002) for identifying grammatical and phonological words in a language, this chapter presents the notion of ‘word’ in Makary Kotoko (Chadic, Cameroon). The criteria of (i) pause phenomena, (ii) isolatability, (iii) meaning, and (iv) tone assignment are determinative, not for the identification of word per se, but for identifying word classes—in particular, the major word classes of the language: noun, verb, adjective, adverb, and ideophone. Misalignment between grammatical and phonological words occurs with functional elements of the language and is addressed in a discussion of the clitics of the language. Clitic behaviour creates issues for determining orthographic words for this language which has had no known written tradition until fairly recently. Words used for expressing the concept of ‘word’ are discussed and the chapter concludes with a brief presentation of some word games used by speakers of Makary Kotoko.
CSUSM Library Guides: History Research Portal : Secondary Sources

Resources for research not limited to any particular course topic and tools to support history scholars.
Project Tracking with Plagiarism Checker

“Project Tracking with a Plagiarism Checker”. This web application is specifically targeted towards TY students and teachers/project mentors who have just started working on their projects. As teachers get assigned to multiple groups of students as a mentor/supervisor, things might get hectic trying to handle every single aspect of a project, similarly, the students find it very stressful to able to keep up with every stage of the project and forget some or the other aspect of the project. Hence this web application will be able to help students and teachers handle and track every single stage and aspect of a project. This web application will establish a structure under which the students will work on the parts of the project they have been assigned and under the allotted time for that part. Additionally, it also has a plagiarism checker intended to make an important part of the teacher’s task a bit easier. It is also a medium of communication between groups and group members.
Integration of Pedagogical and Web Technologies in the Educational Process

The research paper is devoted to the study of the features of the Internet as educational information and educational environment, the problems of using web technology in the educational process. The relevance of the topic is the use of innovative educational technologies in the educational process
Applying of distance learning technologies within the digitalization of the educational process as a real alternative to education for persons with disabilities

Abstract The article deals with the topic of teaching people with disabilities. The issue of the development of education towards digitalization is considered, within which in the process of teaching, distance educational technologies are beginning to be actively used, in particular for students with disabilities. The difficulties in the process of obtaining an individual rehabilitation program for full-time, part time or extra mural education are shown there. The idea is substantiated that teaching with the use of distance educational technologies is an alternative to full-time education. This kind of training is aimed at developing students’ independence in terms of searching, processing, using and analyzing essencial information. The article presents the possibilities of using the training opportunities for persons with disabilities based on distance technologies, and also reveals a number of problems in the field of distance education. It is also noted that the use of distance educational technologies makes it possible to organize the training process for persons with disabilities.
Improving Students' Writing Achievement Through Describing Picture Technique At SMPN 14 Bengkulu Selatan

The Researcher aims for increasing students’ writing achievements through describing picture technique (a classroom action research at the eight grade students  of SMPN 14 Bengkulu Selatan in academic year 2013/2014). Because there was the students could not write good paragraph especially in descriptive paragraph and also was not appropriate technique to teach writing. So describing picture technique was effective to improve the students’ writing achievement. The researcher was classroom action research that consists of three steps there were pre-assessment and three cycles. Each cycle was given the implementation of action on teaching materials about describing picture. There were people, place, animals and the last cycle was given reflection and evaluation. This research took subject in the class VIII A of SMPN 14 Bengkulu Selatan. They were consist of 27 test, document, observation, using picture in writing processes. The data in this result of this research was collected by using test and the instrument was used pictures. The result of the research showed that the eight grade students of SMPN 14 Bengkulu Selatan could write good paragraph, especially used of organization, vocabulary, language use and mechanics to write good paragraph. In pre test with average 44. 25 % was very poor, but after giving the action in each cycle the result of the students could write good paragraph and was improved with the last cycle got 72.70% was good. This research indicated that the used describing picture techniques could improve students’ writing achievement at the eight grade students of SMPN 14 Bengkulu Selatan year 2013/2014.
Synthesized Optimal Control of Group Interaction of Quadrocopters Based on Multi-Point Stabilization

The study examines the problem of optimal control of group interaction of three quadrocopters. A group of three quadrocopters must move the load on flexible rods from one point in space to another one without hitting obstacles, one quadrocopter being not able to complete the task due to the weight of the load. To solve the problem, the method of synthesized optimal control based on multi-point stabilization was used. The method is called synthesized, since the problem of synthesizing the stabilization system for each robot is first solved. At the next stage, the problem of the optimal location of stabilization points in the state space is solved in such a way that when these points are switched from one to another, at a given time interval, the quadrocopters move the load from the initial position to the final one with the optimal value of the quality criterion. The network operator method is used to solve the synthesis problem. All phase constraints describing group interaction and obstacles are included in the quality criterion by the method of penalty functions. An evolutionary particle swarm optimization algorithm was used to find the positions of points
A Study on Social issues Related to Personal Information Protection Act based on Text Analysis

This study aimed to identify social issues through text analysis by crawling news articles related to the revision of the Personal Information Protection Act. First, we selected the headlines of the news article and extracted 100 highly influential features using TFIDF and chi-square statistics. Through this, only sentences containing 100 characteristics were extracted for each group and analysis at the sentence level was conducted. Then it followed by LDA topic modeling and network analysis based on keyword. The results showed similar trends in the LDA topic modeling and network analysis based on keyword. This study has academic significance in that it uses LDA topic modeling and network analysis with differentiation from previous research related to the Personal Information Protection Act based on text analysis. In addition, the results of this study are thought to be timely analysis in that we identified social issues before the revision of the Personal Information Protection Act was implemented and could be used as basic data.
Drawing to mirror, destabilize and enact

This article reflects upon an artist residency at the School of Life Sciences, University of Dundee, hosted by Parkinson’s disease research. It examines three distinct ways in which drawing methods and the prints they generate respond to the medical research. First, drawing methods mirror practices of looking and visualizing in the research laboratories. The relationship between datasets, algorithms and the images they generate is explored to propose the unstable nature of visualizations. Second, the artist’s original drawings are destabilized and transformed into ‘mutants’ to mirror the genetic mutations that are at the heart of the research. By substituting artworks for scientific images in a public-facing event, scientists enact the uncertainties and ambiguities of interpreting visual material. Finally, visitors interact with a print installation to mirror and enact scientific practices of selecting, categorizing and searching for patterns to emerge in visualizations.
The practice of geological mapping of the Zhdanov deposit ores in the Kola peninsula

Geological mapping is included in each stage of geological prospecting. How detailed and consistent the obtained data are directly depends on how thoroughly an object has been studied. The main purpose of geological mapping is to identify areas with uniform ore and to give recovery projections. Gipronikel Institute has been engaged in such work for 30 years and has accumulated a great number of successful practices. As an example, this paper describes the results of geological mapping that was done for the Zhdanov deposit of copper-nickel sulphide ores in the Kola Peninsula. This study resulted in identifying geological types of ores (such as raw, refractory and talcose ores), which can be processed following the same process sequence but with different performance. The key differentiation criteria included the concentration of valuable components, the share of coarsely disseminated sulphides in the total amount of sulphides contained in a sample, the concentration of the easily floatable mineral — i.e. talc. Due to high variability in the material composition of striking and dipping ore bodies, the deposit has seen geological mapping conducted continuously for more than 10 years. Over that period, a database was created showing the distribution of different geological types of ore and the variability in the estimated recovery of nickel and copper, which is used for concentrator plant operations planning based on prospecting data.
Academics’ professional development needs and gains during COVID-19 distance education emergency transition in Turkey: Academics’ professional development needs and gains

The higher education institutions’ mandatory transition to distance education during the COVID-19 outbreak led to restructuring of teaching and learning processes in Turkey. The aim of this research is determining the gains and needs of faculty members in academic activities in Turkey context. A qualitative research method was used and data was collected from 364 faculty members from different demographics, using an open-ended, semi-structured online survey. Three main themes and a total of 40 sub-themes were determined using the content analysis method. Findings showed that faculty broadened their knowledge and experience in distance learning, citing the need to improve their academic and professional development. Some faculty stated very intensive gain of digital literacy skills and competencies and online course materials; while others stated further improvement was needed in these subjects. These findings are important as a means to take the necessary precautions to improve academician’s professional development and students' learning during the continuation of emergency process.
Detection of regions with the least impact on true and fake image classification through reinforcement learning

Abstract With the development of artificial intelligence [1-3], convolutional neural networks (CNNs) have made significant progress in image generation and manipulation. The generated images using facial image synthesis methods, e.g., Faceswap [4], Deepfakes [5], Face2face [6], NeuralTextures [7], are very realistic and even difficult to distinguish by human eyes. It poses serious challenges to social and personal security. There are many methods that can detect synthetic facial images with an accuracy rate of over 99%. But the synthetic facial image classification model can only give a true or fake result, and it is impossible to know which part is the discordant area. Therefore, we propose and experimentally verify a method that using reinforcement learning to select the region in the image that has the least impact on the classification model.