Reviewerly/exHarmony huggingface dataset:
Challenges of Interaction in Multicultural Class of Future Mining Engineers within Computer Supported Collaborative Learning

The inclusion of computer mediation and distance education has influenced the training of future mining engineers in Kuzbass universities. This study investigates the issues of students’ interaction in multicultural groups within Computer Supported Collaborative Learning. CSCL served as a conceptual framework to guide the presented study. Forty-eight Russian and Indian students participated in the experiment. To assess the peer interaction in multicultural groups four questionnaires were designed. The authors used comparative analysis to analyze the interviews of the participants. To process the data, the Pearson’s correlation analysis was performed. In the result of comparative analysis of the participants’ interviews some conclusions on students’ interaction in multicultural class were done. Foreign students demonstrate positive attitude towards collaborative learning activities while one in two Russian students displays reluctance and frustration in relation to cross-cultural collaborative learning environment. The results suggest that the main challenges for implementation of CSCL in higher education institutions of Kuzbass are insufficient cross-cultural skills of students and even teachers and the lowquality digital infrastructure of universities.
Problems of Metaphorization in Modern Directing Theater

Metaphorization as a universal method of replenishing lexical means of expression and creating a complex semantic structure of the production is studied; the types of theatrical metaphors in the context of tendencies of modern directing theater are analyzed; found that primarily metaphorization depends on the goals and objectives of the director, which are focused on filling conceptual gaps and creating a pragmatic effect in the viewer -this leads to predicting understanding of metaphor and appeal to image-associative complexes of current realities.It is revealed that in the modern director's theater there is a process of metaphorization of the surrounding world, in which new metaphorical models appear, and traditional ones are updated and actualized, constantly absorbing new meanings.Within one or another director's theater, there is a variety of activity of appealing to basic metaphors, changing key metaphors and generating new submodels.
Crowd counting method based on cross column fusion attention mechanism

Deep learning has made substantial progress in crowd density estimation, but there are still some problems in existing methods, such as large population density, background interference, and scale change, which makes it difficult to count people. To solve the above problems, we proposed a crowd counting method based on a cross column fusion attention mechanism. First, the first ten layers of VGG16 with good migration ability and feature extraction ability are used as the front-end network to preliminarily extract human head features. Then, a cross column fusion attention module is designed. In this module, feature maps are fused across columns to make the network contain richer deep and shallow features. At the same time, to alleviate the background interference, the attention mechanism is used to guide the network to focus on the head position in the picture, and different weights are assigned to different positions according to the attention score map, so as to highlight the crowd and weaken the background, and finally get a high-quality density map. In addition, a shallow convolution module is designed as another branch. The output feature map of the shallow convolution module and the output feature map of the attention module of cross column fusion are fused to solve the problem of scale change effectively. Finally, in the last layer of the network, the convolution layer of 1 × 1 is used to replace the full connection layer, and fewer network parameters are used to reduce the calculation and the population density map is regressed. The experimental results show that the mean absolute error and mean square error of the proposed algorithm are significantly reduced compared with the comparison algorithm.
AN ANALYSIS OF TENTH GRADE STUDENTS’ DIFFICULTIES IN COMPREHENDING RECOUNT TEXT

This study aimed to recognize the problems faced by the tenth graders of SMA Negeri 1 Jejawi and to determine the factors that influenced students’ difficulties in comprehending recount text. This study was a qualitative research. The subject of the study was the tenth grade students of SMA Negeri 1 Jejawi in academic year of 2019/2020. The techniques of collecting the data were interview and reading comprehension test. To analyses the data, reducing, data displayed, content analysis, and draw conclusion were applied. The result of the study showed that there were 68.7% students had difficulties in finding the main idea, 70.15% students had difficulties in understanding vocabulary, 66% students had difficulties in finding reference, 59.3% students had difficulties in finding purpose of the text, 67.24% students had difficulties in finding detail information, and 81.95% students had difficulties in determining the generic structure of the text. Some factors influenced students’ difficulties in comprehending recount text were material that has long passage, limitation of words, learners’ background, and environment.
INVESTIGATING PRAGMATICS OF APOLOGY STRATEGY: A CASE STUDY OF THE SIXTH SEMESTER ENGLISH EDUCATION STUDENTS AT INSTITUT PENDIDIKAN TAPANULI SELATAN PADANGSIDIMPUAN

This descriptive research was carried out aimed to find out the kinds of apology strategies used by English Education Students at IPTS Padangsidimpuan and the reasons for using it. This research is a single case study, namely descriptive qualitative research which means that qualitative research has described quality. Data were taken from DCT (Discourse Completion Test) and interview. The test covers situations about violations in daily life. The research participants are sixth semester English Education Students at IPTS (Institut Pendidikan Tapanuli Selatan) who have graduated in Pragmatics course. They consist of 2 classes; A and B, and by using purposive sampling technique, as many as 10 students were selected to become participants. From the results of data analysis, as many as 10 situations given to participants, there are there are 5 known strategies used by students namely; Promise patience, indirect apology / acknowledgment of responsibility, offer of improvement, explanation or account and direct apology / expression of apology with various sub categories. and for each other's reasons. Of the strategies used by students, the strategy most often used is indirect apology / recognition of responsibility four times in situations 2, 4, 5, and 6. Keywords: Pragmatics, Speech Act, Apologies, Apology Strategies.
Rancang Bangun Aplikasi Sistem Pakar Berbasis Android untuk Identifikasi Penyakit pada Gigi dengan Menggunakan Metode Forward Chaining

Teeth are an important part of the body in the digestive process. As a start of the digestive process, teeth receive various kinds of food conditions such as sweet, cold, hard foods, and so on. These food conditions affect dental health so that when teeth are not treated they become vulnerable to disease. Society in general does not pay attention to pain in the teeth. Though the pain in the teeth can be caused by diseases such as dental caries, tartar, and others. The solution of this research is manifested in the form of an expert system to diagnose dental diseases using the Android-based Forward Chaining method. The expert system application used by researchers is McGoo. The purpose of this expert system is to help the public get information and carry out a diagnosis of dental disease independently. Users only need to answer the questions displayed by the system to get the results of the diagnosis in the form of the type of illness and treatment solutions that can be done. The results of the system diagnosis have been tested and validated by experts namely dentists who are the source of information and data. Based on the accuracy of the system diagnostic test results are by the results of the expert diagnosis.
Survey on Blockchain -Future of Security for Cryptocurrency- Bitcoin and Ethereum

As the use of online transaction is increasing day by day, the security measure parameter is difficult to manage. In that case, Blockchain enables peer-to-peer transfer of digital assets without any intermediaries in a secure manner with the use of verification and validation operation by different miner nodes of decentralized network. Blockchain technology also supports cryptocurrencies like bitcoin and ethereum for amount transfer digitally with secure communication.
Corrections to “Modernizing Legacy Software as Context-Sensitive and Portable Mobile-Enabled Application”

In the above-named article [ibid., vol. 23, no. 1, pp. 42–50, Jan./Feb. 2021], an acknowledgement statement was missing. The acknowledgement statement for the article1 is "The authors would like to acknowledge the support and funding for this project by the Deanship of Scientific Research at the University of Ha'il, Saudi Arabia, under Grant RG-20155."
DEVELOPMENT OF ART AND PEDAGOGICAL EDUCATION IN KAZAKHSTAN

n.The article deals with issues aimed at solving the problems of the formation of the general culture of the individual, the adaptation of the individual to life in society, to create a basis for a conscious choice and mastering the profession, specialty. It also talks about the need to bring pedagogy closer to life, modern production, the tasks of special scientific research and the creation of new teaching tools for creative disciplines. Understanding the problems of modern education is impossible without taking into account the socio-historical dynamics of the development of the educational system in Kazakhstan. The time distance forces us to look at many phenomena of spiritual culture of the past through the prism of modern tasks and requirements. It also refers to our understanding of the problem of formation of art education in the Republic of Kazakhstan. Development of artistic creativity of students is considered as one of the priority areas in pedagogy. Increased requirements for scientific-practical training of modern man entails the enhancement of the role of teachers and their responsibility for the younger generation. Activity in modern society requires a qualified specialist to apply the widest range of human abilities, development of unique individual physical and intellectual qualities. To solve the problem of forming the development of creative abilities in children and schoolchildren it is important what motivates more to creative activity. Key words: creativity, education, art, artistic work, pedagogy of creativity.
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract)

Given recurring interest in structured representations in computational cognitive models, we extend a Bayesian scoring procedure for comparing symbolic models of language grammar. We conduct a case-study of modeling syntactic principles in German, providing preliminary results consistent with linguistic theory. We also note that dataset and part-of-speech (POS) tagger quality should not be taken for granted.
Aplikasi Logika Fuzzy untuk Penentuan Beasiswa Peningkatan Prestasi Akademik Menggunakan Metode Fuzzy Mamdani Pada ITB Indonesia

The Indonesian Institute of Technology and Business is an institution engaged in the field of Education. Scholarship is a gift in the form of an award or in the form of financial assistance given to people who have achievements that aim to be used as a continuation of education that will be taken during education. In addition, scholarships are also given to students as an appreciation or support for outstanding students. This research was made with the aim that the Right Target, Right Amount and Timely scholarship program can be implemented in determining scholarships to improve academic achievement at the Indonesian Institute of Technology and Business. Based on the existing problems, the authors analyze and design an application system built using Matlab software by combining fuzzy logic and Matlab GUI.
Managerial competence as a characteristic of the future officer’s personality: experimental results and theoretical conclusions

Today, at a time of unstable social, political and economic conditions in Russia and around the world, the importance of opening new ways of development and improving the managerial competence of future officers takes on a special meaning. Today, the requirements for the military profession are changing, for a high level of development of managerial abilities, which are based on managerial competence. The effectiveness of the management activities of future officers in the military directly depends on the level of formation of their managerial competence. The success of the formation of managerial competence of future officers depends on the conditions of the educational environment, which takes into account the social order of society for a fully developed military specialist, optimally integrated into society, able to think outside the box and carry out productive social interactions in various spheres of social and military activities. The novelty of the research consists in the expansion of the conceptual apparatus of pedagogical science by modeling and determining the essence and structure of the managerial competence of the future officer; in the development and experimental testing of a diagnostic device that includes criteria, indicators, evaluation tools, measuring rulers, methods of data interpretation and qualitative characteristics of levels, which allows you to diagnose the levels and indicators of the formation of managerial competence of a future officer.
An Evaluation of Disentangled Representation Learning for Texts

Learning disentangled representations of texts, which encode information pertaining to different aspects of the text in separate representations, is an active area of research in NLP for controllable and interpretable text generation.These methods have, for the most part, been developed in the context of text style transfer, but are limited in their evaluation.In this work, we look at the motivation behind learning disentangled representations of content and style for texts and at the potential use-cases when compared to end-to-end methods.We then propose evaluation metrics that correspond to these use-cases.We conduct a systematic investigation of previously proposed loss functions for such models and we evaluate them on a highly-structured and synthetic natural language dataset that is well-suited for the task of disentangled representation learning, as well as two other parallel style transfer datasets.Our results demonstrate that current models still require considerable amounts of supervision in order to achieve good performance.
Extraction strategies in Norwegian

In this paper I will show that it is possible to extract elements from an embedded root clause in a V2 language, provided that the deleted copy is spelled out in a high position. However, if the embedded clause does not have V0-to-C0 movement, no deleted copy can be spelled out. This difference falls out naturally from the assumption that embedded root clauses must be thematically complete and that in the case of movement chains, the foot of the chain cannot be spelled out. This paper is a detailed study of extraction strategies in Norwegian, based on a corpus of 1329 informants. Its novelty lies in combining the study of extraction strategies with the presence of resumptive elements in the embedded clause.
Structural Parameter Analysis of Mg Doped ZnO Nano Rods by Fuzzy Logic Controller

&lt;p class="PARAGRAPH"&gt;ZnO nanorods have been extensively studied owing to their exceptional materials properties as well as outstanding performance in optics, electronics, and photonics. Lately, photocatalytic applications of ZnO nanorods are of greater interest in ecological defense applications. When magnesium is doped with ZnO, the properties of nanorods can be improved for several potential applications in diverse fields of science and technology. In this work, we have studied the effect of parameters like doping concentration and temperature for solution-based growth on the diameter and length of the nanorods grown on the glass substrate. Fuzzy logic controller has been used to calculate precise and accurate results as the fuzzy logic system is based on human-like reasoning. The analysis of the dependence of diameter and length of Mg doped ZnO nanorods on different input parameters is done by fuzzy simulations and the simulated results are then compared with the calculations done using Mamdani’s model. A percentage error that is almost negligible is calculated between the simulated and calculated values. &lt;/p&gt;
A Research paper on Typing Speed Tester Game using Python &amp; Tkinter

In this Python project , our goal is to build a game in which user can check and even improve typing speed. For a graphical user interface, we will be going to use the Tkinter library in Python which is used for working with graphics. A typing speed test help you to check your typing speed and improve it with regular practice. With the python project, learn to build an application using Tkinter library that can detect typing speed of user with accuracy. The project contains only the user side. It is a simple typing challenge game project. This is like a game, one-by-one random word will pop up on your screen and you have to type as many given words as you can, within 60 seconds. The design of this project is pretty simple so that the user won’t find any difficulties while working on it.
The Analysis of Critical Discourse Analysis in the Speeches of Nadiem Makariem and Muhadjir Effendy at Teacher’s Day

This research aims to find out the critical discourse analysis in the text of speeches from Nadiem Makarim and Muhadjir Effendy. The speech was chosen because it is one of the objects in Critical Discourse Analysis (CDA). Critical Discourse Analysis (CDA) is an approach to analyse the relationship between language, ideology, and power. This research used the descriptive qualitative method. The researcher uses the three-dimensional framework by Norman Fairclough in analysing the data of Critical Discourse Analysis (CDA). In presenting and analyzing the data, the researchers used qualitative data analysis theory from Miles and Huberman (1994) in Gani (2011), consisting of data reduction, data display or representation, and conclusion drawing or verification. The result of this study shows that both the script of speeches from Nadiem Makarim and Muhadjir Effendy have micro, mezzo, and macro-level related to the framework of Norman Fairclough. The language used in both of the speeches is a standard language, but in the speech of Nadiem Makarim used more creative language that can touch the millennial generations, while in the speech of Muhadjir was the usual words that can make the audiences bored.
Implementation of Image Denoising Techniques using Novel Slantlet Transform

Wavelets have been developed to analyze the frequency components of a signal according to a scale.They provide more information than the Fourier transform for signals which have discontinuities or sharp spikes.The modern techniques of digital signal processing such as MultiMate filtering, sub band coding and wavelet transform have been studied and applied effectively in science and technology fields nowadays.The discrete wavelet transform (DWT) is usually carried out by filter bank iteration; however, "for a fixed number of zero moments, this does not yield a discrete-time basis that is optimal with respect to time localization".This project focuses on the "implementation and properties of an orthogonal DWT, with two zero moments and with improved time localization (wavelet bases generation)", determining the relation between this transform and M -band wavelet theory, and its application in image coding is implemented.Shorter the scaling function spectrum, larger the number of wavelet co-efficient and hence more scale information (by designing filter of shorter length).The wavelet basis function is not on filter bank iteration; but on, different filters for each scale.Moment vectors are calculated based on input (either 1 -D or 2 -D Signal) signal and it is projected on wavelet basis to extract details of signal by using multi resolution analysis.The decomposition level is adapted to the length of signal as in case of fixed level in traditional discrete wavelet transform.For coarse scales, the support of the discrete-time basis function reduced (by a factor approaching one third for coarse scales).The implementation and properties of an orthogonal DWT, with two zero moments and with improved time localization are discussed in this project work.The wavelet representation of images using slantlet basis function is presented.The slantlet filter bank (wavelet bases generation) design technique where different filters for each level (scale or stage) is described will be implemented in this project work.The application of an image denoising using orthogonal discrete wavelet (slantlet) transform is presented in this project work.The various threshold methods which are used for image denoising is also discussed in this work.The signal estimation technique from the observed signal (that is corrupted by noise) that exploits the capabilities of wavelet (slantlet bases) transform for signal denoising is implemented in this project.The soft threshold technique which is useful in image enhancement coding (where noisy co-efficient are killed by fixing the threshold level) is also investigated.