Reviewerly/exHarmony huggingface dataset:
The Learning Implementation of Writing Non-Literary Text by Online during the Covid-19 Pandemic in the Eighth Grade Students at State of Junior High School of 8 Yogyakarta

AbstractThis study aims to describe the planning and implementation of learning to write non-literary texts online during the Covid-19 pandemic, the barriers in the implementation of learning, and the efforts of teachers to overcome these barriers. This research is a qualitative descriptive study. The subjects of this study were teachers and the eighth grade students in state of Junior High School of 8 Yogyakarta. The object of research is focused on planning and implementing learning to write non-literary texts, barriers, and the efforts of teachers to overcome barriers to learning online during the Covid-19 pandemic. Data obtained by observation, interview, and documentation techniques. Data analysis techniques include the stages of data reduction, data presentation, and conclusions. Based on the research conducted, it can be seen that learning planning includes syllabus and specific lesson plans for online learning, while the implementation of learning includes objectives, teaching materials, methods, media, and evaluation. Furthermore, the barriers faced by teachers include facilities and infrastructure, signal stability, and online learning design creativity. On the other hand, the barriers faced by students include signal stability, data packages, and the learning process. The teacher has a role in overcoming the barriers to online learning that occur. Keywordswriting; non-literary text; online learning
Metaphysics and Realism

The article deals with the problem of the return of metaphysics within the framework of the ontological turn of philosophy and the situation of post-metaphysical thinking. The conditions for the possibility of modern metaphysical discourse in the projects of empirical metaphysics and historical ontology are revealed. Historical ontology as a meta-reflexion of philosophy over its own historical foundations is able to bridge the gap between the epistemological static nature of transcendental subjectivity and the ontological dynamism of the growth of scientific knowledge about reality by comprehending the conditions of interaction between science and metaphysics in conditions of post-metaphysical thinking and realistic reversal of ontology. Philosophical knowledge in the context of the ontological turn and the associated return of metaphysics becomes focused not so much on the sharp demarcation of science and metaphysics and postulating the incommensurability of their ontologies, but on identifying mutually enriching areas of research that could give a new impetus to their development.
Reingeniería del modelado e implementación de simulador de reacciones químicas

This article describes the process of analysis, design and implementation of the reengineering process for the continuous improvement of a distributed system that is integrated by a suite of applications and servers that perform the processing for the simulation in 2D and 3D of chemical reactions and pattern recognition. This distributed system establishes a framework for the modeling, representation and simulation of chemical reactions through compounds and the elements of the periodic table, to support face-to-face activities mediated by technology for the chemistry subjects of the Educational Institutions Superior offered by these Educational Programs. This reengineering process was executed with the implementation of the agile SCRUM methodology for the production of the suite. This suite of applications will allow students and teachers through simulations to understand and understand the interaction of the elements with each other, providing support in real time, fundamental for the understanding of topics such as valence electrons and chemical bonds. , which will allow undoubtedly to support the training process of students
La deformación del lenguaje

The purpose of this article is to carry out an analysis of the triggering elements in the process of deformation and development of vices in language. Determine the influence of smartphones, social networks and the use of foreign words in its transformation. The analysis is important because it is part of the factors that reduce the development of an assertive language among young people who are currently in professional training. This research is carried out from a direct observation of case studies in order to analyze the social networks of a group of people (volunteers) to evaluate their communication processes, the development of language vices or the generation of spelling mistakes. In addition, the application of a survey to evaluate the behavior of people in the face of the elements that are considered triggers for the problem. The main contribution of the research is the approach taken to the analysis of the factors that trigger the deformation of language and its incorrect use, which allows the generation of bases on which to work future research, for the correction of the current problems generated in spelling as a result of this, and that allows to expand the knowledge about future action strategies.
REAL-TIME AUTOMATED CONTOUR BASED MOTION TRACKING USING A SINGLE-CAMERA FOR UPPER LIMB ANGULAR MOTION MEASUREMENT

Upper limb angular motion measurement is particularly a subject of interest in the field of rehabilitation. It is commonly measured manually by physiotherapist via goniometer to monitor stroke patient’s progress. However, manual measurement has many inherent drawbacks such as the need to have both patient and physiotherapist to be at the same place. In this paper, an automated real-time single-camera upper limb angular motion measuring system is proposed for home-based rehabilitation to aid physiotherapist to monitor patient’s progress. The measurement of concern are angle measurement of elbow extension, elbow flexion, wrist flexion and wrist extension. To do this, we propose a method that utilized predefined coordinate points extracted from the contours of the object named as contour based motion tracking. The proposed method overcome problems of prior target tracking techniques such as Kalman filter, Optical flow and Cam-shift. The proposed method includes skin region segmentation and arm modelling for motion tracking. Prior skin segmentation techniques suffer from fixed threshold value set by the user. Therefore, we introduce dynamic threshold based on the lower and upper threshold boundary of isolated skin regions from the background. To ensure the reliability of our skin segmentation method, we compare them with four different related algorithms. The result shows that our skin segmentation method outperformed the prior method with 93% detection accuracy. Following the segmentation, we model the arm motion tracking by formulating mathematical equation of various points and motion velocities to track the arm. We then model the wrist and elbow position to estimate arm angular motion. The method is put together and tested with real human subject and other test settings. The result shows that our proposed method able to produce an accurate and reliable reading of +-1.25 average range of error from actual physiotherapist reading.
PROFESSIONAL EDUCATION IN PREPARATION SOCIAL TEACHERS

The article reveals the essence, content and features of professional education in the process of training social teachers on the basis of personal, systemic, environmental and personal-activity approaches. Various approaches to understanding the essence of professional education of students are presented. The author's understanding of professional education of students is revealed as a process of ensuring the purposeful formation of a student's culture for a professional purpose. The article characterizes the understanding of the professional culture of a social teacher as a result of his professional training, as well as ensuring its purposeful development at the university. The internal and external components of the professional culture of a social teacher are revealed. The basic aspects of the professional training of social teachers at the university, in the formation of which professional education is necessary, are highlighted: pedagogical worldview; deontological foundations of personality; awareness of the socio-role position as a social teacher; culture of professional and pedagogical behavior; individual style of professional activity and civic position. Дана характеристика каждого выделенного аспекта и раскрыты особенности реализации потенциала профессионального воспитания студентов в процессе их формирования в поликультурной среде вуза.
On the Refinement of Certain Statistics on Alternating Words

In this paper, we investigate statistics on alternating words under correspondence between ``possible reflection paths within several layers of glass'' and ``alternating words''. For $v=(v_1,v_2,\cdots,v_n)\in\mathbb{Z}^{n}$, we say $P$ is a path within $n$ glass plates corresponding to $v$, if $P$ has exactly $v_i$ reflections occurring at the $i^{\rm{th}}$ plate for all $i\in\{1,2,\cdots,n\}$. We give a recursion for the number of paths corresponding to $v$ satisfying $v \in \mathbb{Z}^n$ and $\sum_{i\geq 1} v_i=m$. Also, we establish recursions for statistics around the number of paths corresponding to a given vector $v\in\mathbb{Z}^n$ and a closed form for $n=3$. Finally, we give a equivalent condition for the existence of path corresponding to a given vector $v$.
Investigation of VMD denoising method based on Monte Carlo simulation: a comparative study between newly introduced autocorrelation-based method and PDF distance based method

A signal with low signal to noise ratio is always difficult to be analysed by the traditional signal processing methods, especially the vibration and acoustic signals that contain nonlinear, non-st...
Educational Security and Digital Transformation : Just a Look for Study

The current paper aims to shed light on the issue of digital transformation, which has become a reality in large part consistent with the movement of change and the knowledge, information and digital revolution that the world is witnessing, and the great overlap that this transformation represents in all aspects and levels of interaction, whether political, social, economic, or educational. Or intellectual and ideological ... etc., and the extent of the impact of this digital transformation on human life in general, and on education, which is the direct method for societies to achieve the qualitative preparation of their members in a context of educational security, which is the guarantee for the proper formation of individuals and their formation on values ​​that drive presence and positive interaction Based on clear criteria in this context. The paper revealed the problems of digital transformation and its dangerous effects on educational security in its various dimensions, and it tries to establish a framework around which one can think to get out of this serious problem.
Bitcoin, Tesla and GameStop Bubbles as a Flight to Focal Points

This article discusses the current bull runs in many assets such as Bitcoin, Big Tech and the meme stocks, concluding that they are very likely bubbles (well above their fundamental value). We then highlight a unique set of circumstances due to which the duration, magnitude, and subsequent correction of this market exuberance may be very different from previous bubble episodes. These circumstances have led to an ever-growing amount of global liquidity chasing a small number of widely-known assets that have played the role of Schellingâ€™s â€˜focal pointsâ€™. In combination with extremely low (even negative) returns on conventional safe assets, the usual â€˜flight to safetyâ€™ has been (partly) superseded by a â€˜flight to focal pointsâ€™.
Gaining Experience with Structured Data: Using the Resources of Dialog State Tracking Challenge 2

This paper describes a class project for a recently introduced undergraduate NLP course that gives computer science students the opportunity to explore the data of Dialog State Tracking Challenge 2 (DSTC 2).Student background, curriculum choices, and project details are discussed.The paper concludes with some instructor advice and final reflections.
WAYS TO INCREASE THE PSYCHOLOGICAL POTENTIAL OF STUDENTS IN DISTANCE LEARNING

This article is devoted to the actual problem of modern education – distance learning. Today, the only way to develop the country is to introduce new innovations using information technologies. In this article, the most important components of the Medical University are considered, including the work of teachers and students in the electronic community. In addition, the advantages and features of distance learning technologies and topical issues of distance learning development in Kazakhstan were identified. Distance learning contributes to the creation of a new model of Education. The main task of the article is to justify and prove distance learning as a new type of learning. The article analyzes the forms of training, shows the main directions of development of distance learning and the differences between distance learning and traditional training. The problems that students and teachers solve in distance learning are identified. The effectiveness of distance learning is determined by the use of pedagogical technologies that form the basis for the design and implementation of training courses.
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models

Despite significant improvements in natural language understanding models with the advent of models like BERT and XLNet, these neural-network based classifiers are vulnerable to blackbox adversarial attacks, where the attacker is only allowed to query the target model outputs. We add two more realistic restrictions on the attack methods, namely limiting the number of queries allowed (query budget) and crafting attacks that easily transfer across different pre-trained models (transferability), which render previous attack models impractical and ineffective. Here, we propose a target model agnostic adversarial attack method with a high degree of attack transferability across the attacked models. Our empirical studies show that in comparison to baseline methods, our method generates highly transferable adversarial sentences under the restriction of limited query budgets.
Subject Guides: Postgraduate Online Training: Research Data Management & Analysis

This guide provides step-by-step training, working through the various stages of the research cycle, to develop and improve the necessary skills to complete your research.
A Coarse to Fine Question Answering System based on Reinforcement Learning

In this paper, we present a coarse to fine question answering (CFQA) system based on reinforcement learning which can efficiently processes documents with different lengths by choosing appropriate actions. The system is designed using an actor-critic based deep reinforcement learning model to achieve multi-step question answering. Compared to previous QA models targeting on datasets mainly containing either short or long documents, our multi-step coarse to fine model takes the merits from multiple system modules, which can handle both short and long documents. The system hence obtains a much better accuracy and faster trainings speed compared to the current state-of-the-art models. We test our model on four QA datasets, WIKEREADING, WIKIREADING LONG, CNN and SQuAD, and demonstrate 1.3$\%$-1.7$\%$ accuracy improvements with 1.5x-3.4x training speed-ups in comparison to the baselines using state-of-the-art models.
Cross-chain Interaction Model In a Fully Verified Way

There are different kinds of blockchains, which have been applied in various areas. Blockchains are relatively independent systems that are apt to form isolated data islands. Then cross-chain interaction is proposed to connect different blockchains. However, the current cross-chain methods do not maintain the security of the original blockchain. They either depend on a less secure third-party system or a less secure method. This makes the cross-chain interaction less secure than the original blockchains (the security downgrade issues), or the cross-chain interaction can be done even if the paired blockchain does not exist (the blockchain invisible issue). In this paper, we first propose a system interaction model and use it to analyze the possible security issues. Based on conclusions got from the proposed model, we propose the cross-chain method that verifies the data of the paired blockchain by the consensus algorithm of the paired blockchain (the CIFuV method). With this method, the cross-chain interaction can be as the same security as in the paired blockchain. At last, we evaluate the security issues during the system interaction process, and the possibility to have the CIFuV model on the public blockchains.
기계 번역에 대한 몇 가지 오해

One of the common mistaken concepts regarding the techniques of artificial intelligence in these days is such that machine translation will soon replace human translation, and therefore the translation studies are of little use. This article argues that this concept is groundless and discusses the proper relationship between machine and human translation. It is undoubted that the state-of-the-art skills of machine translation provide outstanding performance. Yet, since the tasks of the two types of translations do not necessarily overlap with each other, it is not likely that the machines are capable of conducting all translation tasks. The machine translation are complementary to human translation in principle.
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention

We propose a novel GAN training scheme that can handle any level of labeling in a unified manner. Our scheme introduces a form of artificial labeling that can incorporate manually defined labels, when available, and induce an alignment between them. To define the artificial labels, we exploit the assumption that neural network generators can be trained more easily to map nearby latent vectors to data with semantic similarities, than across separate categories. We use generated data samples and their corresponding artificial conditioning labels to train a classifier. The classifier is then used to self-label real data. To boost the accuracy of the self-labeling, we also use the exponential moving average of the classifier. However, because the classifier might still make mistakes, especially at the beginning of the training, we also refine the labels through self-attention, by using the labeling of real data samples only when the classifier outputs a high classification probability score. We evaluate our approach on CIFAR-10, STL-10 and SVHN, and show that both self-labeling and self-attention consistently improve the quality of generated data. More surprisingly, we find that the proposed scheme can even outperform class-conditional GANs.
Word Wall Media: An Effective Teaching Technique to Enrich Students' Vocabulary in Secondary Level of Education

It is widely accepted that vocabulary is an essential language micro-skill to possess among Indonesian learners of English to be able to communicate in English as a foreign language. However, many Indonesian learners of English still find it difficult to acquire and develop this micro-skill. The difficulty can be seen from the learners' inability to memorize and use English vocabulary when communicating in English. This research attempts to apply word wall media as a technique for overcoming the learners' difficulty in mastering English vocabulary, especially those who learn English in the second grade of Islamic Junior High School Darul Arqam Ponrewaru. This study uses collaborative Classroom Action Research (CAR) in which the data are derived from two data collection instruments, i.e., a vocabulary test and observation sheets are given to 23 respondents. The results of this study indicate that the students' vocabulary is increased after being taught using the technique. The vocabulary development takes place due to the increase of the learners' achievement is the vocabulary test average scores. In the first cycle, the learners achieve a 65.43 average score. 12 out of 23 students or 52.17% achieve the average score. In the second cycle, the average score then increases to 80.86 average scores. 20 out of 23 students or 86.95% achieve this score.
The Use of Realia in Teaching Speaking

The objectives of the reseach are to describe of realia in teaching speaking to the eighth grade students at SMPN 4 Poso Pesisir Utara and to find out students speaking achievement when taught using realia in describing. Design of this research descriptive qualitative. The subject where eighth grade students at SMPN 4 Poso Pesisir Utara, with total number of 18 students. Data were gathered by observation sheet and test. The findings of the research showed that the use realia in teaching speaking to the eight grade students in SMPN 4 Poso Pesisir Utara was done in three meetings, where watermelon was used in the first meeting to teach about description text, dictionary was used the second meeting to teach about description text, and people were in the third meeting to about teach monolog descriptive text. Realia in the learning process was used to help students to understand more on how to describe sometings. Before the realia was used students` showed poor achievement as shown by their average means score which was 32.0, and after the realia was used the students` average mean score was 53.3 or fair. Keywords: realia, descriptive text
The Prevalence, Causes And Effects Of Drug Use And Abuse On Performance Indicators Among Secondary School Students In Teso South Constituency, Kenya

The use of drugs has become more rampant today than at any other time. In learning institutions, especially secondary schools, the use of drugs has resulted in poor concentration in classwork, high rate of absenteeism and failure in exams leading to poor academic performance. The purpose of this study therefore was to: establish the prevalence of drug use among students in Teso South Constituency, establish the causes of drug use and identify the effects of drug use on academic performance indicators among secondary school students in Teso South Constituency. The constituency has a total of 25 public secondary schools with a total of 8023 students. Krejcie and Morgan’s formula was used to select 192 students and data was collected from the field using questionnaires and later analyzed using percentages. Results indicate that 54.7%, 22.4%, 6.7%, 4.7% 4.2%, 3.1% of the students use Tobacco, Miraa, Cocaine, Tranquilizers, Kuber and Marijuana respectively. Also, the most influential causes of drug abuse among them were Peer influence at 90.1%, family background at 57.1% and availability of drugs at 30.8%. Lastly, 89.6% of the students had poor grades due to drug abuse alongside 78.6% of them affected by low concentration span and lack of interest in studies. The study, therefore, inferred that there is a high of drug ab prevalence use amongst secondary school students with family, peers as well as availability contributing to the onset of drug abuse.The study concluded that drug abuse interferes with academic performance indicators of secondary school students in Teso South Constituency.