Reviewerly/exHarmony huggingface dataset:
STUDENTS PERCEPTION TOWARDS BASIC TEACHING SKILLS OF ENGLISH TEACHERS AT SMP 4 SUPPA

This study aims to provide scientific data about perceptions towards English teachers’ basic teaching skills at second grade of SMPN 4 Suppa. This research is descriptive quantitative, with survey approach using questionnaire. The samples of this study were 20 students from three classes. The data were analysed by using percentage technique to provide the frequency of respondents’ answers. The results of this research show that students’ perception towards their English teachers’ teaching skill are in good level, with total score 127 (42%), and the lowest score is “very poor” answer with total score 15 (5%). Therefore, based on assessment criteria used in this research, it can be concluded that the basic teaching skills of English teacher at second grade of SMPN 4 Suppa is categorized as good.
Designing Non-Instructional Messages: Beyond Training

Message design is an interdisciplinary area of knowledge. Message design contains words, visuals, and forms used to design, produce, and transmit messages. In this chapter, we will review message design outside the realm of training. Although an instructional designer or technologist’s primary function is training, there are many other duties an instructional designer has to perform, such as writing reports, leading instructional teams, or serving as a change agent, among many other functions.
THE IMPLEMENTATION OF BLENDED LEARNING-BASED MODEL E-LEARNING MOODLE

The objectives of this study are: 1) Implementing blended learning model based on e-learning Moodle into learning; 2) whether the blended learning model based on Moodle e-learning can improve learning achievement. The type of research in this research is descriptive-explorative qualitative, which explores all the things that are in the processing of questions and answers to students' steps and explores the results of the interview survey with students. The subjects in this study were 21 class B students. The research instruments were tests, surveys, questionnaires, and interviews. The results of research and discussion show the implementation of the lecture process, face to face with zoom metting, presence in applications, assignments, and testing. From the results of the research and discussion, it is concluded that: 1) the blended learning model based on e-learning Moodle has been successfully implemented into linear learning program courses, 2) From the results of tests, questionnaires, surveys and interviews with e-based blended learning model students -learning moodle has increased their achievement and enthusiasm for learning.
Complex rupture dynamics of the 2020 Mw 6.8 Elaz&amp;#305;&amp;#287; (Sivrice) earthquake, Turkey

&amp;lt;p&amp;gt;The 2020 Mw 6.8 Elaz&amp;amp;#305;&amp;amp;#287; (Sivrice) earthquake occurred on the P&amp;amp;#252;t&amp;amp;#252;rge segment of the East Anatolian Fault zone. This strike-slip segment is situated between strong earthquakes that happened 100&amp;amp;#8211;150 years ago, and, since that time, the segment remained with eight Mw5-6 events, but with no Mw 6+. We relocate the mainshock and aftershock sequence and infer basic characteristics of the event using the ISOLA multiple point source approach and backpropagation of S-waveforms from local strong-motion recordings. Together with clear secondary P wave onsets identified in the recordings, the results suggest complex rupture propagation with reversal of the rupture propagation. We apply a recently developed Bayesian dynamic source inversion with slip-weakening friction and spatially inhomogeneous stress and friction parameters to gain better insight into the rupture process. Using high-quality near field recordings in the low-frequency range (&amp;lt;0.3Hz), we obtain a complex dynamic rupture model explaining the weak rupture initiation followed by a cascade of at least three rupture episodes, including the rupture reversal. The dynamic model explains significant features of the recordings even in a broader frequency range interesting for seismic engineering applications (&amp;lt;2.5Hz), e.g., a directivity pulse associated with rupturing the event&amp;amp;#8217;s strongest asperity with 4 m of slip and local stress drop of 40 MPa. We show that by reducing the initial stress in the top 10 km by 10%, the rupture fails to develop into the larger event, finishing as an Mw 5.8 earthquake. Considering the latter experiment corresponds to an earlier state of the fault in the seismic cycle, we hypothesize that the interseismic M5+ events on the P&amp;amp;#252;t&amp;amp;#252;rge segment were undeveloped rudiments of potentially large events. Thus, the fault seems to have been ready for the Mw6.8 earthquake only by the time of the earthquake occurrence in 2020. This suggests that at the time of the Elaz&amp;amp;#305;&amp;amp;#287; earthquake initiation, the final Mw6.8 magnitude was not determined, making it a treacherous case for early warning systems.&amp;lt;/p&amp;gt;
Managing Medical Supply Chain Using Blockchain Technology

Transparency at any level in supply chain is an essential need to be ensured enough that everything is going in the right direction and no falsified goods are entering in the chain and to be accurately aware of the market’s demand to fulfill the supply for the sake of avoiding any shortage. A supply chain basically is a network that combines all the components of the business cycle for the flow of various goods and services from one point to another. Along with this, India is the biggest exporter of falsified medicines. These falsified medicines are nothing but a result of poor existing supply chain, along with many other issues. To maintain flexibility, traceability, visibility, and transparency in supply of medicines, a new system needs to be introduced using advanced technologies like IoT, AI, and blockchain. There are several issues in the existing system such as lack of visibility in the supply chain, which causes problems like poor inventory management, and lack of knowledge about market’s demand, all these issues result in drug shortages. Another loophole is lack of tracing ability in present supply chain in pharma industry every component is working; on own part separately this offers a poor visibility. Along with this, it is also necessary for a consume1r to get the medicine in its original form, as some drugs are temperature sensitive so requires desired controlled temperature and hence can’t be transported using normal transportation. For this, we can use IoT-enabled vehicles and then store that data as a block of blockchain network. All these problems can be tackled by using blockchain technology as a major part of solution along with IoT-enabled vehicles for cold chain transportation. Blockchain technology will keep an eye on all transactions going in the supply chain of medicines. So in this chapter, we will be focusing on what are the major problems that exist in a medicine supply chain, and in which way blockchain can be used as a cure for all these issues.
The Environment of Cognitive-Contextual Software Design: A Study Concept to Implementation

Two main points of the objectives to design software systems (SS) have been considered: achieving proper functioning of the SS with consistent results, and the possibility to obtain reliable assessments of the Software System quality depending on the initial requirements. A cognitive-contextual design strategy has been proposed that can significantly improve the perception of actual elements of the design task by creating a context with selected formalized conditions, and enhance cognitive coherence of the project elements throughout the Software System lifecycle.
An Extended Review On Impulse Noise Reduction For Corrupted Images

Image denoising is the core preprocessing work for digital images. The denoising  process enhances the images from the corrupted status to the noise-free status. Many methods have been published in the literature to remove the salt  and pepper noise in various image types. This survey paper makes an analysis on noise removal by considering the key-characteristics of the denoising field. This extended survey studies around 45 papers to impart the knowledge of denoising techniques for the young researches. The comparison  part is built-up via the fields such as algorithm-name, merit, demerit, MSE and input image-type. This survey assesses the working methodology of each paper with brief description, and it also handles about the target of each paper. This survey lights on the path of the fresh-researchers in the image-denoising field, to decide their target method with better adaptability to their research, because image denoising is the primary task for majority of image processing tasks.
MLPerf Tiny Benchmark

Advancements in ultra-low-power tiny machine learning (TinyML) systems promise to unlock an entirely new class of smart applications. However, continued progress is limited by the lack of a widely accepted and easily reproducible benchmark for these systems. To meet this need, we present MLPerf Tiny, the first industry-standard benchmark suite for ultra-low-power tiny machine learning systems. The benchmark suite is the collaborative effort of more than 50 organizations from industry and academia and reflects the needs of the community. MLPerf Tiny measures the accuracy, latency, and energy of machine learning inference to properly evaluate the tradeoffs between systems. Additionally, MLPerf Tiny implements a modular design that enables benchmark submitters to show the benefits of their product, regardless of where it falls on the ML deployment stack, in a fair and reproducible manner. The suite features four benchmarks: keyword spotting, visual wake words, image classification, and anomaly detection.
초등예비교사의 토의 토론 중심 과학수업이 과학개념 및 과학교수효능감에 미치는 효과

This study purposes to figure out the effects of applying discussion-based science class on concept of science achievement and science teaching efficacy. This study established an twelve-week period of experimental treatment from April to June 2019, and the students who participated in this study formed a research group consisting of 27 students in the first semester of the second year of the B University of Education. and taking courses in ‘elementary Science Textbook Research 1’ For the classes applying discussion-based science class, the analysis was made on 2015 revised curriculum, and 12th process-centered performance assessment based on discussion. The developed data had designed to develop concept of science achievement and science teaching efficacy. The study group applied process-centered performance assessment based on discussion science class, so unaffectedly study group could improve their concept of science achievement and science teaching efficacy. B University of education is singleness class that doesn't have compare group, so this study is constituted only study group. Applying based-discussion science class to study group, before and after concept of science concept test, science teaching efficacy test is performed. The results of the study were as follows. First, the study group applied discussion-based science class had statistically significant differences in concept of science achievement (p<.05). Second, the study group applied discussion-based science class had statistically significant differences in science teaching efficacy(p<.05). Third, after discussion-based science class of pre-service teachers have a very good feeling. Through such study results, the study could figure out that the class applying discussion-based science class has positive effect on concept of science achievement and science teaching efficacy.
Knowledge Graph based Question and Answer System for Cosmetic Domain

With the development of E-commerce, the requirements of customers for products become more detailed, and the workload of customer service consultants will increase massively. However, the manufacturer is not obliged to provide specific product ingredients on the website. Therefore, it is necessary to construct a KBQA system to relieve the pressure of online customer service and effectively help customers to find suitable skincare production. For the cosmetic filed, the different basic cosmetics may have varied effects depending on its ingredients. In this paper, we utilize CosDNA website and online cosmetic websites to construct a cosmetic product knowledge graph to broaden the relationship between cosmetics, ingredients, skin type, and effects. Besides, we build the question answering system based on the cosmetic knowledge graph to allow users to understand product details directly and make the decision quickly.
한일 양국의 재난안전정보 다국어지원 현황 연구

In this thesis, the current status of multilingual emergency disaster information in Korea and Japan is examined for ways that foreigners residing in Korea can more accurately understand ‘emergency disaster information’ in a situation of disaster that needs to be responded to urgently. In the case of Korea, the scope of multilingual support services and information delivery media has been expanded based on the multilingual support measures established and implemented at the Government level so far, and there have been tangible results ranging from local governments and private sector activities. However, the type and degree of services provided differ by each institution and local government, and the focus was mainly on marriage immigrants and foreign workers. Therefore, international students, foreign nationals, refugees, seasonal workers who are short􋹲term residents, tourists, etc. still can’t get information in case of a disaster. So, the problem of blind spots needs to be solved. In contrast, in the case of Japan, they are preparing a plan to provide the disaster safety information in a timely manner to protect them, not only for foreign migrants and workers, but also for all foreign residents including international students and tourists. For the purpose, a system that can effectively deliver information to foreigners is being established by utilizing “Foreigner support information coordinator in the event of a disaster” and establishing a “Disaster Multilingual Support Center.” In the future, with reference to Japan's disaster information provision policy, etc., it seems that measures should be prepared to protect them by expanding the scope of policy targets, so that any foreigner residing in Korea, regardless of the purpose of their stay or institution, can obtain the disaster safety information without being alienated. In addition, the establishment of a multilingual service support institution should be promoted to integrate and systematize multilingual disaster safety information produced and distributed separately through a conservative approach in each case of a major disaster so far.
Subject Guides: Scholarly Publishing: UI Libraries Supported Open Access

This guide provides information about common issues in scholarly communications, including author rights, publishing open access, and depositing your work in a repository.
Determination of Kinetics Parameters in a Bench Scale BNR Treating Municipal Wastewater from Mosul City

In Iraq, due to the shortage in water supplies, needed for irrigation purposes at some areas, the existing wastewater treatment plants must be upgraded in order to achieve the nutrient removal for reuse applications. The Kinetic coefficients are considered as important parameters for the design and operation of wastewater treatment plants. Kinetic parameters of nitrification and denitrification provide useful information for process performance and efficiency, as well as operation and monitoring.The activated sludge configuration A2O process was performed in a bench-scale model, which consists of three reactors in series (anaerobic, anoxic and aerobic). The internal cycle and returned activated sludge ratios were fixed to 200% and 30% respectively depending on the preliminary investigation in this study. In order to determine the kinetic parameters, batch experiments have been performed: Under steady state conditions, the flow was interrupted and the continuous flow mode was turned into a batch system.According to Monod expression, the value of maximum specific nitrification rate is 2.24 gNH4-N/gMLSS.day, while the magnitude of half saturation constant for ammonia-nitrogen Kn is 4.8mg/L. The experimental results of series batch test in anoxic zone distinguish two slopes of nitrate consumption relationship: High one which indicates a rapid nitrate utilization rate with maximum specific denitrification rate of 0.04gNO3-N/gMVLSS. day) followed by slow denitrification rate.
Transformation Invariant Real-time Recognition of Indian Sign Language using Feature Fusion

Sign Language Recognition (SLR) is immerging as current area of research in the field of machine learning. SLR system recognizes gestures of sign language and converts them into text/voice thus making the communication possible between deaf and ordinary people. Acceptable performance of such system demands invariance of the output with respect to certain transformations of the input. In this paper, we introduce the real time hand gesture recognition system for Indian Sign Language (ISL). In order to obtain very high recognition accuracy, we propose a hybrid feature vector by combining shape oriented features like Fourier Descriptors and region oriented features like Hu Moments &amp; Zernike Moments. Support Vector Machine (SVM) classifier is trained using feature vectors of images of training dataset. During experiment it is found that the proposed hybrid feature vector enhanced the performance of the system by compactly representing the fundamentals of invariance with respect transformation like scaling, translation and rotation. Being invariant with respect to transformation, system is easy to use and&#x0D; achieved a recognition rate of 95.79%.
Generation of high-dimensional photonic entanglement

Photonics is a sophisticated platform for the development of novel quantum technologies, from quantum processors to distributed quantum communication. Most linear optical architectures focus on encoding qubits into photons using, for example, polarization or a dual-rail approach. However, encoding higher-dimensional systems - qudits - can in principle provide improved information capacity and noise tolerance in communication, and lower error thresholds in fault-tolerant quantum computation. Here we present new schemes for generating high-dimensional photonic entanglement and discuss how to build cluster states for universal high-dimensional quantum computation.
Develop the creative skills of future teachers using the knowledge of art design

Solving the issue of using art as an effective way of self-exploration and creative self-development is one of the important tasks of modern pedagogy. Arts occupy a special place among the leading components of educational strategy. Under the conditions of general education, art is the only area in which the emotional and moral development of a growing person and his introduction to the highest spiritual values of his people and humanity can take place in a natural way. The purpose of this article is to show the need to create an art-pedagogical space as an innovative environment for the creative development offuture teachers, using the knowledge of ART design and professional training of students of pedagogical universities. In this regard, the work pays special attention to the personality of the future teacher, expanding the boundaries of his professional competence, his humanitarian and professional pedagogical position, and motivation to use the possibilities of art in professional activities.This can be through the creation of new master's programs, in particular, the training of highly professional specialists in the field of art pedagogy under the master's program "Art Pedagogy". The article deals with the issues of the influence of art and artistic culture on the sensually-emotional sphere and the spiritual world of the individual; the state of art education in general education schools; implementation of innovative activities in higher pedagogical education through the art-pedagogical approach; professional training of teachers working with art pedagogy technologies; requirements for the personality of the teacher,his professional and pedagogical position; fundamental scientific and practical training of masters.
ANALISIS NILAI MORAL PADA NOVELET “OBAMA OPAPA” KARYA JESSICA ALI

The novelet Obama Opapa by Jessica Ali is one of the literary works that can be used as a source of positive reading for readers. The contents of this novelet are very interesting because the contents of the stories often occur in everyday life. Various moral problems in aspects of life are expressed by the author, especially those that occur in the social environment. The formulation of the research problem is what moral values are contained in the novelet? And what is the description of the research results? Thus the purpose of this study is to identify and describe the moral values contained in Jessica Ali's novelet entitled Obama Opapa. Qualitative descriptive method is used to analyze moral values in this novelet. Reading, analyzing, and marking fragments are ways to obtain text that can be categorized as moral values. This method is done so that the moral values in the novelet are easily identified, easily understood, and can be applied to daily life by readers. From this research, it is found that the novelet Obama Opapa by Jessica Ali contains moral values, including being diligent in worshiping, admitting mistakes, being patient, and being passionate about life, so it is interesting to read by all groups, both adults and adolescents. After getting the results of this research, it is hoped that readers will get the moral values conveyed by the author.
Design, Application and Evaluation of an Emotional Intelligence Program in Teacher Trainers: Qualitative Analysis.

The purpose of this paper is to design and apply an Emotional Intelligence (EI) program for teacher trainees as a fundamental component of the National Education System (SEN). Feasibility was measured by means of a questionnaire applied to a total of 379 teachers in training in four semesters of three groups each. The results were analyzed from a qualitative perspective through the interpretation of the answers provided by the teachers through the questionnaire applied. One of the main findings was to know that the teachers in training, when participating in a non-formal skill workshop, experienced small changes, but not significant for the quantitative techniques, descriptive and inferential statistics were used, the descriptive statistics allowed showing those small changes, but when giving way to the inferential with parametric tests determined the null significance, on the other hand the qualitative techniques allowed knowing with greater amplitude the ideas that they were conceiving as the workshop progressed.
PRACTICAL EXPERIENCE OF CREATIVE ABILITY DEVELOPMENT IN STUDENTS

The last century has made it possible to conduct large-scale studies of the theoretical and methodological foundations of the pedagogical process aimed at educating a person with creative thinking skills. The practical results of research in pedagogy and psychology show that methodological support is not mutually proportional to the cognitive basis of the problem. And this, in turn, requires the substantiation of methods, techniques and technologies that allow to educate a person with creative thinking skills. This article examines the method, technology and methodology aimed at educating a person with creative thinking skills.