Reviewerly/exHarmony huggingface dataset:
Distance learning in primary school: opportunities and specifics of implementation

The problem of introducing distance learning in primary school is actualized by the development of social networks and Internet technologies, which open unlimited horizons for their application in educational activities. In addition, the introduction of quarantine in Ukraine requires primary school teachers to find ways to effectively master the program material. Among such ways is distance learning. The purpose of the study is to substantiate the specifics and possibilities of organizing the educational process in primary school with the use of distance learning. In the process of scientific research methods of analysis, synthesis, generalization and systematization were used. Distance learning in primary school is defined as a form of organization and implementation of the educational process, in which the subjects of learning (teachers and students) in the online mode carry out educational interaction in principle and mainly extraterritorially. In the context of reforming modern Ukrainian education, a number of e-platforms have been created for the organization of distance learning for primary school students. An effective commercial platform for distance learning is the service "My Class", which contains online courses from 1st to 11th grade, which contain lessons that integrate theoretical (test presentation of content) and practical (individual tasks that can be solved independently of each other, a block of tasks that need to be solved sequentially, guidelines) blocks. Result. Emphasis is placed on the requirements to be met by a primary school teacher when organizing distance learning in primary school during the quarantine period and it is suggested to advise parents who will work remotely with junior students in the initial stages of distance learning, gradually transferring activity to children.
SOFTWARE TESTING BY USING THE BLACK-BOX METHOD AND THE EQUIVALENCE PARTITION TECHNIQUE TO PREDICT THE ACCURACY OF THE NEURAL NETWORK BASE

A neural network algorithm is an artificial nervous system or artificial neural network, it is a physical cellular system that can acquire, store and use the knowledge gained from experience for activation using bipolar sigmoid where the output value ranges from -1 to 1. Because there is a yet of a neural network algorithm model to predict the level of accuracy in terms of software testing, the equivalent partitions black-box technique is used. The black-box software testing method is a testing approach where the data comes from defined functional requirements regardless of the final program structure, and the technique used is equivalent partitions. The design of the accurate prediction of this research is by determining the college application as the software to be tested, then testing it using the black-box method with the equivalence partitions technique. This test was chosen because it will find software errors in several categories. From black-box testing, a dataset is obtained to measure the accuracy of real output and predictive output. The last step is to calculate the error, RSME from the real output, and the predicted output. Furthermore, the final results of the research on the neural network algorithm that is applied to determine the prediction of the accuracy level of black-box software testing with the equivalent partitioning technique is the average accuracy above 80%.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE MAKE A MATCH TERHADAP HASIL BELAJAR SISWA PADA TEMA LINGKUNGAN SAHABAT KITA KELAS V SD NEGERI 050600 KUALA TAHUN PEMBELAJARAN 2018/2019

The problem in this study is the student learning outcomes that are still low on the theme of our friend's environment in class V 050600 Kuala State Elementary School. The purpose of this study was to determine the effect of Cooperative Learning Model Type Make A Match on student learning outcomes on the theme of the environment of our friend class V 050600 Kuala State Elementary School Learning Year 2018/2019. This type of research is a quantitative research experimental model with a pretest-posttest Control Group Design research design. The class that became the population in this study was class V-A and class V B, where the total population was 49 students with class V A 24 students, and class V B 25 students. Sampling using simple random sampling technique, and selected class V B as a class given treatment (Treatment). To find out the hypothesis in this study using a different test independent sample t-test in SPSS ver 22. The results showed that the experimental class experienced a learning increase of 101% from the previous pretest. In the experimental class the pretest results were 41.75 and posttest was 84. This is supported by the results of the test of the correlation coefficient can be seen that the correlation coefficient value is 0.863 means r count (0.863)&gt; r table (0.396) then Ha is accepted. Then there is a strong relationship and there is an influence between the type of cooperative learning model Make A Match on the learning outcomes in class V 050600 Kuala State Elementary School. Can also be seen from the results of testing the hypothesis t test where t count&gt; t table is 62,308&gt; 1,713 so that the hypothesis Ha is accepted. This shows the influence of the Make A Match type of cooperative learning model on student learning outcomes on the theme of our friend's environment in class IV 050600 Kuala State Elementary School in the 2018/2019 learning year.
Employment Of Personality As A Problem Of Interdisciplinary Research

In modern world the employment of personality is transformed in the process of transition from the practices of industrial society to a post-industrial lifestyle, from a standardized employment model to an individualized employment model. In this article the employment of person is considered as a complex problem, a multidimensional understanding of which is formed as a result of interdisciplinary research. Transformations of employment are included in the economic, political, sociocultural and psychological contexts of modern life. The individualization of employment and self-employment should be considered in connection with the general transformations of the sphere of labor, education and leisure. It is also a methodological problem by virtue of the analysis of its many-sided aspects. For the relevant description of the transformation processes, new terms, analytical constructs, flexible and mixed methodological strategies are created. By solving this problem, we turned to research design based on interdisciplinarity and using mixed approaches and methods, combining quantitative and qualitative analysis. Our study of informal employment focused primarily on students who chose private tutoring as supplementary employment. The additional employment of Russian students is analyzed taking note their motivation, the labor market, as well as sociocultural practices common in Russia. The materials, presented in the article, show that practices of self-employment and personal strategies of student additional employment contribute to more flexible and successful integration of young people in the transformation of the modern world, and also make their view of the future more positive.
Computational Interpretations of Recency for the Choice of Referring Expressions in Discourse

First, we discuss the most common linguistic perspectives on the concept of recency and propose a taxonomy of recency metrics employed in Machine Learning studies for choosing the form of referring expressions in discourse context.We then report on a Multi-Layer Perceptron study and a Sequential Forward Search experiment, followed by Bayes Factor analysis of the outcomes.The results suggest that recency metrics counting paragraphs and sentences contribute to referential choice prediction more than other recency-related metrics.Based on the results of our analysis, we argue that, sensitivity to discourse structure is important for recency metrics used in determining referring expression forms.
Cuidados às pessoas idosas por meio de ferramentas digitais, em período de isolamento social, decorrente do COVID-19

It is an experience report about care to elderly people through digital tools treatment. Where the social support strategies of the Interdisciplinar Nucleus of Research and Extension to Health Care of the Family in Conviability with Diseases (NIEFAM) is described, the context of the extension to promotion of a healthy day-to-day of its participants. Educational video classes prepared by the students, professors and professionals were used due to the group care demands about the coping with non-transmissive chronicle diseases. The objective is to stimulate people’s adaptive competences, their latent resources, comprehended here as as resiliences, the capacity of flexibility and adaptation to what the atual context strongly imposes: the coping with non-transmissive chronicle diseases, during social isolation times, due to COVID-19.
Mobile Applications In The Wake Of Coronavirus In India

WHO has designated Coronavirus [1] as a global pandemic, and people around the world are perturbed. Governments all around the world have put forth their best endeavour to battle with COVID-19. With the whole economy getting mangled with the deadly Coronavirus digital technology and mobile application have been the critical arsenal lately in the war against Covid-19. In this paper, the current study provides a holistic viewpoint on the use of digital technology and mobile application [2] in India for the containment and mitigation of novel Coronavirus and its severe impact on education and health sector. These experiences will lead to better pandemic preparedness and prevention in the future.
Sistem Pendukung Keputusan Berbasis Website Untuk Pemilihan Toko Kue Menggunakan Metode SMART (Simple Multi-Attribute Technique) (Studi Kasus: Kota Pekanbaru)

One of the many business that developed these days, cake store business is one of the many business that many opened and worthy to calculate. Most of the cake lovers doesn’t know the reason why they choosing a cake store to visit for the first time, then there’s a pre-research for knowing the user opinion to cake store which has visited and for knowing what factors make user interested to visit that cake store. Based on the obtained results are known that as much as 42% out of 100 respondents that visitors choosing that cake store based on suggestion from their close friend and also the cake store advertisement without knowing how’s the condition of the cake store that want to visit first, some answering because of the popularity of the cake store however there’s some visitor feel disappointed in the first visit on a cake store because the taste of the cake it is not suitable with expectations.
Vector Modeling In Assessment Of Teachers’ Readiness To Tutor Support Of Students

The article presents the use of vector modeling and the project method when assessing the readiness of a future teacher to the tutor support of students. The project paradigm in methodological training of future teachers is implemented within personality-oriented and subject-activity approaches. Students’ readiness for tutor support includes their ability to identify resources of the educational environment and design individual educational routes of learners. This readiness is assessed on the basis of the results of methodological projects completed by future teachers. The leading research method is modeling by means of multidimensional vectors. The components of the vectors describe the actions at the informational-planning, practical and reflective-evaluative stages of the project activity. A vector has been introduced characterizing the social, subject and anthropological aspects of tutor support when students carry out a methodological project. The article presents the implementation of the project method in the methodological training of future mathematics and computer science teachers. The method of vector modeling for qualitative and quantitative assessment of the formation process of competences through absolute (vector modulus) and relative (direction cosines) characteristics is developed. Indicators for assessing students' actions are indicated and the process of assessing their competences is presented. Through the module of the resulting vector, the effectiveness of the methodological preparation of students for tutor support of learners is evaluated. Direction cosines characterize the degree of manifestation of the cognitive, action, and value components of competences. Comprehensive assessment of the professional education results is carried out using vector modeling.
Modeling Subjective Assessments of Guilt in Newspaper Crime Narratives

Crime reporting is a prevalent form of journalism with the power to shape public perceptions and social policies.How does the language of these reports act on readers?We seek to address this question with the SuspectGuilt Corpus of annotated crime stories from Englishlanguage newspapers in the U.S. For Suspect-Guilt, annotators read short crime articles and provided text-level ratings concerning the guilt of the main suspect as well as span-level annotations indicating which parts of the story they felt most influenced their ratings.Sus-pectGuilt thus provides a rich picture of how linguistic choices affect subjective guilt judgments.We use SuspectGuilt to train and assess predictive models which validate the usefulness of the corpus, and show that these models benefit from genre pretraining and joint supervision from the text-level ratings and spanlevel annotations.Such models might be used as tools for understanding the societal effects of crime reporting.
Reinforcement Learning with Randomized Physical Parameters for Fault Tolerant Robots

In reinforcement learning, for cost and safety reasons, the policy is usually learned in simulation environments, after which it is applied to the real world. However, the learned policy cannot often adapt because real world disturbances and robot failures lead to gaps between the two environments. To narrow such gaps, policies that can adapt to various scenarios are needed. In this study, we propose a reinforcement learning method for acquiring a robust policy against robot failures. In the proposed method, failure is represented by adjusting the physical parameters of the robot. Reinforcement learning under various faults takes place by randomizing the physical parameters during learning. In the experiments, we demonstrate that the robot that learned using the proposed method has higher average rewards than a conventional robot for quadruped walking tasks in a simulation environment with/without robot failures.
Effects of exercise participation frequency on student’s growth hormone and bone metabolism index

This study Effects of exercise participation frequency on student’s growth hormone and bone metabolism index. The subjects consisted of 21 students, who were divided into 3 groups of 7 students. Each group was for 5 t imes a week, 3 t imes a week and once a week respectively. The training period was 8 weeks, and a total of 60 minute-routine was conducted for each group: in 1 day, 10 min. for preparation, 40 min. f or m ain exercise a nd 10 min. f or c leaning for each g roup. Data a nalysis was performed using SPSS Ver 22.0, and the homogeneity of the variables between the groups was analyzed by one-way ANOVA, and follow-up analysis was analyzed by Duncan. In the results of the study, growth hormone was different in group B and group A than in group C, and group A and group B were more different than group C in terms of OC. For OC, group A and group B were more different than group C, and for ALP, group A and group B were different than group C.
Acceso y uso de las TIC en la escuela secundaria en diferentes contextos socioeconómicos

The educational sector has assumed long time ago the challenge of incorporating technologies into teaching and learning processes. And secondary school plays an essential role in the development of the necessary capacities for intelligent and critical understanding and usage of the new languages produced in the field of information technologies. The objective of this work is to analyze the access to ICT at students’ home and at school, using the microdata of the 2016 Learning Census for seniors in high school and to show the inequalities observed by province, type of school management and socioeconomic level of the student. Among the main conclusions found, the following can be mentioned: at the national level, approximately 40% of the students say they have a computer at home; there are great disparities among them, since less than 14% of those with lower socioeconomic status say they have, while more than 72% of students with highest income say so. However more than 70% of all students –both low and high socioeconomic level– say they use computer at school at least a few times a year. The results show that there are no differences by socioeconomic level of the students in the activities proposed by teachers to do with computers during class time.
Online Implementation of the RTE Mandate

This case chronicles the events in the life of a security guard who would like to enroll his five-year-old daughter in a private school under the Right to Education Act (RTE). Section 12(1)(c) of the RTE Act mandates that private schools reserve at least 25% of their seats for children from marginalized and economically weaker sections of society. This case can be used for classroom discussion in a course that deals with e-governance, ICT for Development or Technology deployment/digital service delivery in developing countries. It helps students think of an evaluation framework for assessing an e-governance solution for the disadvantaged and use the framework to critically assess the Gujarat government's digital solution for the RTE programme.
TESSERACT ENCRYPTION ALGORITHM USING LATIN SQUARE OF ORDER 8 (TEA-O8)

In this paper, we investigate the possibility of extending Latin Square of Order 4 in Hybrid Cube Encryption Algorithm (HiSea) and Three-Dimensional Hybrid Cubes Encryption (3D-HiSea) algorithm using Latin square of order 8. The objective of this research is to investigate the security improvement of key provided in current algorithm using Four-Dimensional (4D) concept. Entries of Latin square of order 8 are used as a method extended to form a 4D Hybrid Cubes or Tesseract (TEA-08). The existence of 108 quintillion LS of order 8 (LS8) open up new possibilities for increasing possible key space for 3D-HiSea. New tesseract structure based on 8 3D-Hybrid Cube has been successfully implemented using LS order 8. Master Key generated from HiSea, 3D HiSea and Tesseract is used to study its security analysis using Entropy Test. Next, Frequency, Block Frequency and Run Test analysis is perform using NIST Testing Tool to investigate the security of ciphertext produced. The results show that entropy for TEA-08 master key is 0.9961 more closer to 1. Furthermore, ciphertext security analysis resultant the P-Value of Frequency is 0.328363, Block Frequency is 0.488475 and Run Test is 0.457713 which greater than 0.01 prove that algorithm proposed are random. Thus, based on the findings TEA-O8 it can be concluded that the key and ciphertext generated is random and can be evaluated further to include other security analysis testing tool and method which suitable for non-binary block cipher.
Pengaruh Media Video PembelajaranTerhadap Kemampuan Pemahaman Konsep Siswa

The purpose of this study was to determine whether or not there is an effect of video learning media on students' conceptual understanding abilities. This research is a quantitative study using experimental methods. In this study, a pre-experimental design was used using one group pretest-posttest design in order to determine the effect of learning video media on students' conceptual understanding abilities. The subjects of this study were 21 students of class XI IPA at Madrasah AliyahDarulQalamMerigiKelindang. In this research, there are several preparations which are divided into the preparation stage, the implementation stage and the analysis stage. Data collection techniques using essay form tests. The purpose of the test is to determine the ability of students to understand concepts after being given learning video media, the researcher analyzes the data using the SPSS application. So from the results of the study it can be concluded that there is a significant influence in the learning process using video learning media on the students' concept understanding ability in class XI IPA Madrasah AliyahDarulQalamMerigiKelindang.
A Multiscale and Densely Connected Convolutional Neural Network for Image Super-Resolution

The aims of image super-resolution are to get high-resolution images from poor-resolution ones by software technologies. Inspired by the remarkable performance of deep neural networks for nonlinear relationships, densely connected convolutional neural network with multiscale was proposed and applied to achieve image super-resolution. A parallel module with multiscale convolutional layer has been designed to collect diverse features of the low-resolution images. Additionally, twodense blocks are added to another branch of the convolutional neural network. As a result, the closely connected convolutional neural network can avoid the vanishing-gradient problem during model training. Not only the quantitative assessment results, but also the visual assessment enable to verify that the designed network yielded high-resolution images, which are finer to the ones in comparison with the state-of-the-art approaches.