Reviewerly/exHarmony huggingface dataset:
PEMBELAJARAN MENULIS TEKS EKSPLANASI PADA SISWA SMP KELAS VIII MENGGUNAKAN MODEL PICTURE AND PICTURE BERBANTUAN MEDIA POWER POINT

This study aims to examine the implementation in learning to write explanatory texts using picture and picture models assisted by power point media. examine teacher and student responses to learning to write explanatory texts by using picture and picture models assisted by power point media and examine students' difficulties when completing explanatory text writing questions. The research method used is descriptive qualitative. Subjects in the study were students of class VIII Mutiara 4 Bandung Junior High School totaling 42 students and were given treatment in the form of models and learning media for three meetings. The instruments in this study were observation sheets, questionnaires, and test sheets. The results of the observation sheet if accumulated from three meetings for teacher activities scored 79.33% with a high category and three meetings for student activities scored 78% with a high category. On the questionnaire sheet the teacher's response was very good, guessed by the percentage obtained after being analyzed on the questionnaire the teacher got a percentage of 87.5% while for student responses the average percentage of results was 85.1% with very high descriptive analysis criteria. Difficulties experienced by students when working on problems as many as 8 students whose grades below the KKM with an overall average obtained 73.52. From the above data it can be concluded that learning to write explanatory texts using picture and picture models assisted by power point media is very effectively applied in learning
Comparing Peer Editing and Think-Pair-Share Strategies to Teach Writing to Different Learning Styles Students

In Indonesia, students face more challenges in learning English as a foreign language, which means that the students face difficulties such as in mechanics, mastering grammar or vocabulary and also the topics.
On Solutions of Marginal Problem in Evidence Theory.

Recently introduced marginal problem – which addresses the question of whether or not a common extension exists for a given set of marginal basic assignments – in the framework of evidence theory is recalled. Sets of solutions are studied in more detail and it is shown, by a simple example, that their structure is much more complicated (i.e. the number of extreme vertices of the convex set of solutions is substantially greater) than that in an analogous problem in probabilistic framework. The concept of product extension of two basic assignments is generalized (via operator of composition) to a finite sequence of basic assignments. This makes possible not only to express the extension, if it exists, in a closed form, but also enables us to find the sufficient condition for the existence of an extension of evidential marginal problem. Presented approach is illustrated by a simple example.
Fraud Reporting Portal Is Easy And Useful?

The case of fraud is currently a hot topic, according to ACFE in 2018 the rate of fraud in the education sector in the Asia-Pacific region is reached five percent. There are several ways to detect fraud in order to overcome or minimize the occurrence of fraud, one of which is whistleblowing. Based on the ACFE survey in 2020, shows that currently, the form of fraud reporting media tends to be online or electronic. This research aims to explore the ease of use, usefulness, and importance of fraud reporting information systems in educational institutions using the TAM theory. This research method is descriptive qualitative. The results showed that the number of reports submitted to the fraud reporting portal was not driven by the ease and usefulness of the reporting portal service. The results of this study, apart from being able to add insight and literature, can also be used as material for consideration in making improvements related to the use of fraud reporting information systems, especially in educational institutions.
TEACHING ENGLISH THROUGH LITERARY APPROACH (POETRY AND SHORT STORY) IN IMPROVING SPEAKING SKILL AMONG NON-ENGLISH DEPARTMENT STUDENTS OF ISI YOGYAKARTA

This research is aimed to describe the speaking ability among students of Fine ArtsDepartment, FSR, ISI Yogyakarta, and define about the effect of applying the literaryapproach (Poetry and Short Story) to improve speaking ability among students of the FineArts Department, FSR, ISI Yogyakarta - 2019/2020.There is one type of research reviews that will be applied in this paper, namelyqualitative research objectives with data collection techniques such as literature review,observation, questionnaire, and interview. There are 63 (sixty three) students enrolled in theEnglish Class of the Academic Year 20I9/2020, but about 25 (twenty five) students will betaken as samples or research populations.The research result of speaking ability among the students of Fine Arts Departmentin Academic Year 20I9/2020 after applying literary approach shows that they improve muchbetter than the previous semester as they enjoy learning English based on their emotionalapproach that is related to the arts topic.Key Words: Improve, speaking ability, literary approach, poetry, short story
Estimating the Marginal Effect of Interaction between Industry Concentration and Camels Indicators on Financial Performance of Deposit Money Banks in Nigeria

This paper estimates the marginal effect of the interaction between industry concentration and CAMELS indicators on financial performance of deposit money banks in Nigeria. The paper uses secondary data extracted from the financial statements of 15 out of 22 licensed banks over the period of nine years, 2010-2018 to first examine the moderating effect of industry concentration on the relationship between CAMELS indicators and financial performance before estimating the marginal effect of the interaction. The analysis carried out shows that unlike the result of the clustered robust random effects regression, which reveals that asset quality, management efficiency, liquidity and sensitivity to market risk have significant effect on financial performance of DMBs in Nigeria; the estimates of the marginal effect shows that only the marginal effect of the interaction between capital adequacy - CAR and industry concentration - INC (CAR*INC) and managerial efficiency - MGE and industry concentration - INC (MGE*INC) is statistically significant each at 1% level of significance based on their respective p-values of 0.004 and 0.000. This confirms the fear that focusing on moderation effect of an interaction variable rather than marginal effect in a cause-effect relationship could lead to the problem of overstating regression results that involve such interaction variables. In light of the above, the paper recommends that researchers who use moderator variables should always extend their analysis to cover estimation of marginal effect of the interaction variable(s).
Practical Aspects of the Development of Electronica Learning Content by Teachers of Educational Institutions

The design and implementation of the modern educational process requires the systematic development and modernization of information resources. The authors assign a special role to the design and creation of electronic educational content. The creation of electronic educational content requires: the formed readiness of teachers for its development and application, compliance with didactic, psychological, physiological, and sanitary requirements. The paper examines the issue and presents the results of a study of the readiness of teachers to develop and use electronic educational content.
유아 움직임 교육 연구 동향

The purpose of this study was to analyze some theses and articles on the movement education published and reported in several journals for either children or movement in order to examine research trends and to find out developmental vision for this academic area. Content analysis was conducted according to number of published thesis and articles, representative research themes based on the periods of National curriculum for early childhood education from 1979 through 2019. As a result, it was found that 328 thesis and articles were published during the past five decades ever since the very first National curriculum for preschoolers in 1969. After the fourth amendment of National curriculum for early childhood education in 2013 and throughout 2019 was the peak era in terms of the number, 61 theses and 63 articles were published, respectively. And master’s theses was the representative type of pubilished materials against doctoral dissertation and research articles. Regarding the research theme, child development was the prevailing theme compared to teaching and learning method or teaching practicum and teaching model.
Single-photon quantum metrology (Conference Presentation)

We will present our current efforts on single photon quantum metrology using high-efficiency superconducting detectors and high-efficiency single-photon sources based on spontaneous parametric downconversion. Optical power measurements based on single photon counting could establish a quantum standard for optical power calibration in the future. At NIST we are pursuing the development of single photon sources and single photon detectors for metrology, quantum and classical applications. As part of these efforts, we are pursuing the establishment of a measurement service for the calibration of single photon detectors. We present how our calibration is tied to the calibration of our transfer standard optical fiber power meters. Using the beamsplitter method, we have implemented a fiber-coupled and free-space measurement system. Also, we have developed testbeds and measurement protocols for the characterization of single photon sources and single photon detectors. We will review several methods, which allow for the characterization of the spatial and spectral degree of freedom in spontaneous parametric downconversion.
Variational Automatic Channel Pruning Algorithm Based on Structure Optimization for Convolutional Neural Networks

Channel pruning has achieved remarkable success in solving the significant computation and memory consumption in Convolutional Neural Networks (CNN). Most existing methods measure the importance of channels with manually designed algorithms and pruning unimportant channels rely on heuristics or expertise during the processing, which are labourious and subjective. In this paper, we proposed a Variational Automatic Channel Pruning Algorithm based on structure optimization (VA-CPSO) which can automatically optimize channel numbers via channel scales in end-to-end manner through variational inference. Firstly, a weights generator controlled by channel scales is built to produce weights for various pruned structure of CNN. And then, the channel scales with truncated factorized log-uniform prior and log-normal posterior are optimized by variational inference for optimal pruning structure. Meanwhile, parameters of the weights generator are optimized synchronously. Finally, the acquired optimal structure and corresponding generated weights are deployed in the pruned CNN for further training to achieve high-performance compression. The experimental results demonstrate that our proposed VA-CPSO acquires better compression performance compared to existing pruning algorithms. The VA-CPSO achieve a compression of 34.60×, 4.28×, 1.96× and a speedup of 28.20×, 2.03×, 2.02× on LeNet-5, VGGNet, and ResNet-110 with no more than 0.5% loss of accuracy.
코로나19 뉴노멀 시대의 온라인 전시회 운영에 관한 연구

Purpose - The purpose of this study is to find out the status of online exhibition in the era of new normal after COVID-19 by case study on the online academic convention of Y college. This research is performed to examine the management of online graduation exhibition in the era of new normal after COVID-19.Design, data, and methodology -An experimental design was used by case analysis of Online academic convention at Y College.Result - The results showed that, first, this research is performed to manage online graduation exhibition instead of offline graduation exhibition. It will be available to use online forum, webina and online seminar as a class. Second, it is necessary to reorganize curriculum development to increase the production of online contents and practical use of ability. Third, it must be used to study of lecture, feedback, sharing data, interaction. Also, it is not satisfied to learning effect, communication and technical problem in online academic convention. It is necessary to active mutual communication and discussion.Conclusions - The result offer some insights into the management of online exhibition.
How to motivate ethnic minority students in secondary and high schools in disadvantaged Northwest area of Vietnam to learn English effectively

Teaching English for ethnic minority students in remote Northwest area of Vietnam has always been a huge challenge for educators and teachers. With specific difficulties of the Northwestern region such as: the lack of basic learning facilities in rural schools; the majority of the students are ethnic minority people; students need to travel very long distances to school in small and dangerous paths in severe weather conditions and natural disasters all year round. Consequently, students lose learning motivation. This research presents some basic knowledge about motivation and indicates some key factors to motivate ethnic minority students in rural schools in the Northwest of Vietnam to study English effectively.
Особливості становлення особистості дітей з порушеннями слуху

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
Promoting a reading culture in school community: how to engage reading activities cross curricula, directors, teachers, students, parents, administrative services, local authorities, public libraries and other partners – Relating a project

The main purpose of this paper is to present how an intensive collaboration between the National Portuguese Reading Plan and the School Libraries Network Programme plays an important role in the promotion of reading literacy as a baseline to develop all kinds of other literacy abilities and empower the role of school libraries and the collaborative work between the school community and the school library, by reporting on one of the most significant projects, which shows the relevance of this partnership. School libraries are a privileged structure in the school for skill development, not only in accessing information, available locally or remotely, enabling students with critical thinking, transforming information to knowledge, supporting curricula, but also in readers training and the promotion of reading habits, which is a basic tool for lifelong learning.
Single Image Super-Resolution Reconstruction Network With Dual Attention Mechanism

Aiming at the problem that the solution space of mapping function from low resolution image to high resolution image is extremely large, which makes it difficult for super-resolution reconstruction models to generate detailed textures, this paper proposes a single image super resolution reconstruction network combining dual attention mechanism. The improved U-Net network model is used as the basic structure, and the data enhancement method is introduced to increase the diversity of samples. The encoder is composed of a convolution layer and an adaptive parameter linear rectifier function (Dynamic ReLU). The image size is decreased step by step through the subsampling operation. The decoder part was composed of Residual Dual Attention Module (RDAM) and Pixelshuffle Module. The image was enlarged gradually through the up-sampling operation, and dual regression loss was introduced to enhance the network constraints. The experimental results show that the proposed method can make the reconstructed image texture more detailed and reduce the possible solution space of the mapping function effectively.
Exploring the generalizability of visual search strategy

When searching our visual environment, we often have multiple strategies available (e.g., when looking for apples on a supermarket shelf, you can look for red things, round things, or you can just serially search through all items). How do we choose a strategy? Recent research on this question has revealed substantial variation across individuals in attentional control strategies. Moreover, while attentional strategies have been found to be reliable within subjects, they have failed to generalize across different paradigms that assess various components of strategy use (Clarke et al., 2018). Thus, evidence for whether strategies generalize beyond a single paradigm remains scarce. While previous tests of generalizability used paradigms that vary in many ways, here, we focused on a single strategy component that could be preserved across tasks, while making several other changes. In two experiments, we assessed the correlation between individuals’ strategies in the standard adaptive choice visual search (ACVS; Irons & Leber, 2018) and a modified novel visual search task, Spatial ACVS. In the Standard ACVS, participants seeking to perform optimally have to enumerate subsets of different colored squares and identify the smaller subset to choose a target from. Similarly, in the Spatial ACVS, participants seeking optimal performance have to enumerate spatially separate subsets of squares (one on the left and one on the right side of the display), choosing the target in the smaller subset. Participants finished both tasks in the same order in one experimental session. Results showed a positive correlation in optimal target choices between the two tasks, indicating similar strategy usage. Future studies can focus on what strategy components tend more to be generalized across tasks and whether an individual’s strategy can generalize to tasks with a combination of several strategy components.
Object tracking using temporally matching filters

One of the primary challenges of visual tracking is the variable appearance of the target object. As tracking proceeds, the target object can change its appearance due to illumination changes, rotations, deformations etc. Modern trackers incorporate online updating to learn how the target changes over time. However, they do not use the history of target appearance. To address this shortcoming, we uniquely use domain adaptation with the target appearance history to efficiently learn a temporally matching filter (TMF) during online updating. This TMF emphasizes the persistent features found in different appearances of the target object. It also improves the classification accuracy of the convolutional neural network by assisting the training of the classification layers without incurring the runtime overhead of updating the convolutional layers. Extensive experimental results demonstrate that the proposed TMF-based tracker, which incorporates domain adaptation with the target appearance history, improves tracking performance on three benchmark video databases (OTB-50, OTB-100 and VOT2016) over other online learning trackers. Specifically, it improves the overlap success of VITAL and MDNet by 0.44 % and 1.03 % on the OTB-100 dataset and improves the accuracy of VITAL and MDNet by 0.55 % and 0.06 % on the VOT2016 dataset, respectively.
Academic Library Roles in Preventing Plagiarism

This collaborative research illustrates the role of UII Yogyakarta Library and UIN Alauddin Makassar Library in preventing plagiarism. The data at UII Yogyakarta were obtained by interviewing 25 students who were compiling their final scientific papers, also through observation and focused discussion. At UIN Alauddin Makassar, the data were obtained by interviewing 8 Turnitin instructors and administrators, also through observation and documentation. The research data were analyzed using quantitative-qualitative descriptive methods. The results showed that the Library of UII Yogyakarta and UIN Alauddin Makassar had an important role in encouraging students to be aware of plagiarism through awareness-raising, honesty fostering, and tutorials on understanding plagiarism itself. This study also found that the students were more proactive with the issue of plagiarism by discussing together and socializing the rules related to plagiarism in these two institutions.
PEMANFAATAN TEKNOLOGI INFORMASI DAN KOMUNIKASI DALAM PEMBELAJARAN JARAK JAUH DI MASA PANDEMI COVID-19 PADA JENJANG SEKOLAH DASAR\

The COVID-19 pandemic has an impact on education in Indonesia. The learning process that was originally carried out at school has now changed to distance learning which is done from home. The use of information and communication technology provides convenience in learning during the COVID-19 Pandemic. This research was conducted to determine the benefits of information and communication technology in distance learning during the Covid-19 pandemic at the elementary school level. By using qualitative research methods literature study. The development of ICT in this globalization era it is growing very rapidly. The advancement of ICT brings convenience in the world of education, especially in distance learning where teachers and students can continue to carry out more efficient and meaningful learning through E-learning, WhatsApp, Zoom, YouTube, Classroom, and other applications. The Ministry of Education and Culture has provided a free learning platform called Rumah Belajar for areas where internet connections are not very good. Through this learning house the government collaborates with TVRI to deliver learning materials in the home study program. And in the distance learning process the learning process that students do is inseparable from the supervision of teachers and parents.
Introduction to cryptography, codes, Boolean, and vectorial functions

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Enhancement of Quality of Education

The research paper focuses how to enhance the quality of education and minimize the gap between institutes and society to serve the country and globe.
Inserts, Updates, and Deletes

In this chapter, we look at issues relating to the performance of data manipulation statements. These statements (insert, update, and delete) alter the information contained within your MongoDB database.
"THE STARRY WIND OF CASSIOPEIA" BY VICTOR ULYANICH: EXPERIENCE IN ANALYSING COMPUTER AND AUDIOVISUAL COMPOSITIONS

The article regards two versions of the work "The Starry Wind of Cassiopeia" by composer Viktor Ulyanich. The first is an eponymous composition, written in 1990 on a UPIC musical computer in the Paris studio of Iannis Xenakis, the second is an audiovisual work "Cassiopeia", which was the result of creative collaboration between Viktor Ulyanich and the artist Olga Kumeger. Compositions are presented as fundamentally synesthetic phenomena, since in both cases the graphical and musical components are inextricably linked. In the first case, timbres are synthesized through the lines; in the second, they participate in the formation of a new artistic unit. The stage of pre-composition work is a very important phase in the creative process for Viktor Ulyanich. This is the period of ideas defining the formation of the artistic image and the organization of the musical fabric. Here, such an idea was the recognizable w-shaped arrangement of the five brightest stars in the constellation of Cassiopeia. It became the basis of the work's dramaturgy, its dynamic and register plan, and was reflected in the color-graphic matrix and graphic timbre-themed elements, thereby determining the fractal nature of the computer composition.