Reviewerly/exHarmony huggingface dataset:
스마트폰 앱 활용 학습이 EFL대학생들의 성별에 따른 영어 말하기와 인식에 미치는 영향

The present study investigated the effects of English study using smartphone applications (apps) on the speaking performance and perception of EFL university students concerning gender difference. Forty-seven students participated and were required to practice English outside of the classroom using apps for a 10-week period. All participants took pre and post narrative speaking tests based on a series of eight pictures and answered a questionnaire. The findings of the study are as follows. First, there was no significant difference between the male and female students in speaking performance in the post-test. However, statistically significant differences were found between the pre- and post-tests in both groups. Second, the participants responded positively that the practice using an app was interesting and helpful for decreasing anxiety toward English with no significant gender difference. Finally, the students chose an app, ‘Cake’, as the most preferred one as it included a variety of useful English expressions regularly on various topics. Most participants replied positively about using the apps as a means for speaking practice due to accessibility. The findings suggested that smartphone apps could be useful to provide opportunities for both male and female university students to practice English in an EFL context.
Investigação e análise de estratégias de gestão utilizadas pelo segmento de alimentação fora do lar durante a crise do coronavírus

The coronavirus crisis caused uncountable deaths and the overload of people at the health centers, and beyond that, it also has a severe impact on society. Quarantine and isolation measures strongly affect trade, especially the out-of-home food sector, which had to unexpectedly stop its face-to-face services. This workpaper aims to do a research about the subject presented earlier in the first paragraph, to identify and analyze what are the main challenges faced by managers during the coronavirus crisis. The research also aims to identify which strategies are being used to manage the crisis and avoid, or even just control its impacts, I plan to do so by comparing those items with what literature says about it. This information survey of market information was done through a research between owners/managers from the out-of-home food sector. As a result, it could be observed that the biggest difficulties were people management and financial management, as the strategies used to manage the crisis are in line with the literature considerations about it.
The effect of the four realms of an experience (4Es) in Readingtainmented multi-cultural space on visitors’ perceived value and satisfaction - focused on ARC N BOOK, Euljiro

본 연구는 체험경제이론(Pine and Gilmore, 1998; 1999)을 리딩테인먼트를 지향하는 복합문화공간에 적용해보고자 한다. 즉, 책을 매개로 한 문화공간의 체험요소(엔터테인먼트 체험, 교육 체험, 현실도피 체험, 미적 체험)와 지각된 가치 그리고 만족도 간의 영향 관계를 실증적으로 분석하고자 하였다. 이를 위해, 을지로 아크앤북 방문객을 대상으로 설문을 실시하였으며, 구조방정식 모형 분석을 통해 결과를 도출하였다. 분석 결과, 을지로 아크앤북의 체험요소 중 교육 체험요소를 제외한 엔터테인먼트, 현실도피, 미적 체험요소는 지각된 가치에 유의한 정(+)의 영향을 미치고, 방문객의 지각된 가치는 만족도에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 이는, 공간의 체험요소를 활용하여 방문객의 지각된 가치를 높임으로써, 방문객의 만족도까지 향상시킬 수 있는 것으로 해석된다. 한편, 교육 체험요소가 방문객의 지각된 가치 및 만족도에 미치는 영향에 관한 가설의 기각은 책이라는 교육적 콘텐츠가 중심이 되는 리딩테인먼트형 문화공간의 정체성에 관한 실무적 시사점을 제공한다.This study applies the Experience Economy(Pine and Gilmore, 1998; 1999) theory to multi-cultural space seeking readingtainment that combines reading and entertainment. That is, focusing on the multi-cultural space that mainly deals with books, this study investigates the relationships among visitors’ experiences(entertainment, educational, escapist, esthetic), perceived value and satisfaction. For this purpose, a field survey was conducted on ARC N BOOK, a multi-cultural space located in Euljiro, Seoul, to collect data from visitors. Application of the structural equation modeling(SEM) indicates that visitors’ experiences (excluding educational experience) at space affect perceived value, which then contributes to satisfaction. On the one hand, this outcome shows that the satisfaction of visitors can be improved by increasing the visitors perceived value resulted from their experiences of the space. On the other hand, the rejection of the hypothesis about the effect of educational experience in the space on the visitors’ perceived value and satisfaction provides the practical implications for the space in terms of its identity as the book - educational contents - is the main medium for attracting visitors in the readingtainmented space.
Stereo Matching Algorithm Based on Wavelet Transform and Joint Selection

Aiming at the fact that the accuracy and speed of the existing local stereo matching method can not meet the requirements of practical application at the same time, this paper proposes a stereo matching algorithm by means of wavelet transform and image features. Firstly, the image is wavelet transformed to obtain high-dimensional information of the image, the image features are combined for matching cost calculation. Secondly, in terms of parallax correction, a joint selection mechanism is proposed. When small-area joint selection is performed, the edge detection is used to refine the selection area, and the object edge information is fully limited as a joint selection area , ensuring that the algorithm can have an exact match also in a depth discontinuity area . After the 2014 dataset test provided by the Middlebury test platform, the algorithm has higher matching accuracy and faster speed than some excellent algorithms such as SSWTAD algorithm and Adapt Weight algorithm .
Image Feature Computation in Encrypted Domain Based on Mean Value

In smart environments, more and more teaching data sources are uploaded to remote cloud centers which promote the development of the smart campus. The outsourcing of massive teaching data can reduce storage burden and computational cost, but causes some privacy concerns because those teaching data (especially personal image data) may contain personal private information. In this paper, a privacy-preserving image feature extraction algorithm is proposed by using mean value features. Clients use block scrambling and chaotic map to encrypt original images before uploading to the remote servers. Cloud servers can directly extract image mean value features from encrypted images. Experiments show the effectiveness and security of our algorithm. It can achieve information search over the encrypted images on the smart campus.
Finite Horn Monoids and Near-Semirings

Describing complex objects as the composition of elementary ones is a common strategy in computer science and science in general. This paper contributes to the foundations of knowledge representation and database theory by introducing and studying the sequential composition of propositional Horn theories. Specifically, we show that the notion of composition gives rise to a family of monoids and near-semirings, which we will call {\em Horn monoids} and {\em Horn near-semirings} in this paper. Particularly, we show that the combination of sequential composition and union yields the structure of a finite idempotent near-semiring. We also show that the restricted class of proper propositional Krom-Horn theories, which only contain rules with exactly one body atom, yields a finite idempotent semiring. On the semantic side, we show that the immediate consequence or van Emden-Kowalski operator of a theory can be represented via composition, which allows us to compute its least model semantics without any explicit reference to operators. This bridges the conceptual gap between the syntax and semantics of a propositional Horn theory in a mathematically satisfactory way. Moreover, it gives rise to an algebraic meta-calculus for propositional Horn theories. In a broader sense, this paper is a first step towards an algebra of rule-based logical theories and in the future we plan to adapt and generalize the methods of this paper to wider classes of theories, most importantly to first-, and higher-order logic programs, and non-monotonic logic programs under the stable model or answer set semantics and extensions thereof.
Cyber threat concerns grow as schools lean on virtual learning

With many school districts using distance learning due to the COVID-19 pandemic, concerns about cyber threats are growing.
PENERAPAN VISUAL BASIC NET DAN MYSQL DALAM PENGOLAHAN DATA REKAM MEDIS STUDI KASUS PADA POLI GIGI KLINIK INTI SEHAT MEDIKA

The basic net and mysql applications that will facilitate the dental clinic's core health clinic in the search for patient data both PBS participants and general patients along with a history of the patient's disease because data that has been integrated in a database. In research and system testing, it is carried out with several methods, namely field research, library research and laboratory research. Field research was carried out by direct observation to the health center clinic of the Dental Clinic, so that the working mechanism of the existing system was known. Literature research is done by studying books that can add to the study of science for the system and this thesis. Whereas laboratory research is carried out by creating a medical record application using VB.NeT.
Perbandingan Algoritma Contraharmonic Mean Filter dan Arithmetic Mean Filter untuk Mereduksi Exponential Noise

Noise in the image caused a decrease in image quality, so that the image will look dirty and spots appear on the resulting image. Noise also results in reduced information on the resulting image so that noise limits valuable information when image analysis is performed. Filtering technique is one way to overcome noise. The filtering technique used in this study is using the Contraharmonic Mean Filter algorithm and the Arithmetic Mean Filter algorithm with the type of noise used to reduce the Exponential Noise. The results of the two algorithms show that the Arithmetic Mean Filter algorithm is a better algorithm to reduce the Exponential Noise compared to the Contraharmonic Mean Filter algorithm which is proven based on the value of MSE (Mean Square Error) and PSNR (Peak Signal-to-Noise Ratio).
Drilling Down and Decomposing Hierarchies

Drilling up and down your hierarchies (e.g., product categories, geography, or calendar) is a very natural way of discovering interesting insights in your data. Many business intelligence tools are capable of such a functionality, and Power BI is no exception. What’s special with Power BI is that the actual path you are walking up and down can be tracked in a so-called decomposition tree visual. It’s very useful for keeping track of what you already selected and comes in very handy when you want to quickly walk the same path for another part of your hierarchy. But let’s start with handling hierarchies the more traditional ways.
미취학아동 대상 영양ㆍ식생활교육의 효과 메타분석

The purpose of this study was to objectively quantify the effects of nutrition and dietary life education on preschoolers through meta-analysis. In addition, it provides basic data for the implementation of nutrition education and development of systematic nutrition and dietary life education programs. In this study, a meta-analysis of 27 papers was conducted that conformed to the selection criteria in the study conducted from January 2012 to August 2019 to derive objective data on the effects of education. As a result of the analysis, the overall effective size of nutrition and dietary life education for preschoolers was 0.829, which indicates a strong effect. According to the education method, the effect size of general education was 0.562, which indicates a medium effect size, the vegetable playing-based experience education was 0.685, which indicates a medium effect size, and cooking activity-based experience education was 1.101, which indicates a large effect size. Judging from this result, experience activity education was more effective than general nutrition education. In addition, the combined size of convergence education conducted through a combination of general and experience education was found to be the most effective at 1.301. In terms of educational effect, it was confirmed that the effect size was 0.898 for improving nutrition knowledge, 0.858 for improving dietary habits, 0.836 for improving unbalanced diet, and 0.756 for improving food preference and intake, and the sizes of effects were all found to be large. As frequency of education increased, the number of education participants decreased and the effect of education increased.
4차 산업혁명시대의 스마트 팩토리 구축을 위한 품질전략

Purpose: This paper aims to propose a practical strategy for smart factories and a step-by-step quality strategy according to the maturity of smart factory construction.Methods: The characteristics, compositional requirements, and diagnosis system are examined for smart factories through theoretical considerations. Several cases of implementing smart factory are studied considering the company maturity level from the aspect of the smartness concept. And specific quality techniques and innovation activities are carefully reviewed.Results: The maturity level of smart factory was classified into five phases: 1) ICT non-application, 2) basic, 3) intermediate 1, 4) intermediate 2, 5) advanced level. A five-step quality strategy was established on the basis of case studies; identify, measure, analyze, optimize, and customize. Some quality techniques are introduced for step-by-step implementation of quality strategies.Conclusion: To build a successful smart factory, it is necessary to establish a quality strategy that suits the culture and size of the company. The quality management strategy proposed in this paper is expected to contribute to the establishment of appropriate strategies for the size and purpose of the company.
Content-based image quality assessment

In this work we investigate the influence of image content on image quality assessment. We describe image content through a set of features, such as busyness, colorfulness, lightness, sharpness and entropy, investigating the influence of each feature separately andtheir combination on the performance of image quality metrics. Based on the found dependencies we developed prediction models based on SVM and Random Forest machine learning techniques, which predict correctly and wrongly estimated images (compared to observer score) by an image quality metric.
PEMBUATAN VIDEO ANIMASI LESS PLASTIC MENGGUNAKAN APLIKASI ADOBE PHOTOSHOP DAN ADOBE AFTER EFFECTS

ABSTRAK Proyek akhir ini bertujuan menghasilkan animasi mengenai Less Plastic. Pembuatan animasi pada proyek akhir ini dengan metode penggumpulan data, perancangan storyboard dan pembuatan video cerita bergambar. Tahap perancangan storyboard meliputi tahap analisir, perancangan storyboard secara manual dan mengimplementasikan storyboard tersebut menggunakan aplikasi Adobe Photoshop. Tahap pembuatan video cerita bergambar meliputi pembuatan animasi menggunakan aplikasi Adobe After Effects. Animasi ini menjelaskan awal pembuatan plastik, jenis plastik dan cara penanggulangan plastik yang berdurasi 02.30 menit. Kata kunci : Less plastic, storyboard ABSTRACT The objective of this final project is to produce an animation about Less Plastic. The production of this animation comprises of activities such as data collection method, storyboard design, and the making of animated picture video. The storyboard design stage consists of analyze phase, storyboard manual design and implementing it using Adobe Photoshop. The making of animated picture video stage consists of making animation using Adobe After Effects applications. This animation explains the starting process of plastic production, types of plastic, and plastic waste solution which in total has a 02.30 minutes duration. Key word : Less plastic, storyboard
PENGARUH PEMBELAJARAN KOOPERATIF TIPE JIGSAW TERHADAP KETERAMPILAN MENULIS TEKS DESKRIPSI

This research is motivated by the difficulty of students in writing descriptive text. Students are less confident in pouring ideas more and dare to describe them through writing. This greatly affects the low student learning outcomes. Researchers used quantitative descriptive methods, namely methods with the aim of describing, explaining, and analyzing the problems contained in a study. The formulation of the problem in this study is whether the jigsaw type of cooperative learning method can influence the learning outcomes of class VII MTs students in writing descriptive texts. The purpose of this study was to determine the effectiveness of the type of jigsaw cooperative learning method for the effect of student learning outcomes in making descriptive texts. Class VII D students of TMI AL-BASYARIYAH 2 Bandung, totaling 43 people. The instrument used in this study was to test performance. The data of this research is the score of writing the results of the descriptive writing skills using the jigsaw cooperative learning model. The data were collected through a job test showing the structure of the description text. The average count of the descriptive text writing skills is 90.62, the diction elements of the description text are 76.56, the contents of the description text. The average count of descriptive text writing skills was 81.77. The use of the type of jigsaw cooperative learning affects the writing skills of descriptive texts for students, as evidenced by the results of the calculation of increasing descriptive text writing skills.
Compliance and GDPR

The ability to store humongous amounts of data creates opportunities for powerful analytical insights. With the advent of new data protection regulations around the world, it also creates compliance and security risks for companies because data is often dumped into data lakes or data warehouses without proper labeling, auditing, or policy enforcement.
어린이집의 교사전문성 지원환경이 초임교사의 전문성 인식에 미치는 영향: 직무수행동기의 매개효과를 중심으로

Objective: This study aimed to determine the effect of a teacher professional learning environment at workplace day care centers on the professionalism of beginning teachers and also to verify the mediating effects of the beginning teachers’work task motivation on that relationship.Methods: The participants were 129 new teachers currently employed at workplace day care centers. The Current Status for Professional Competence was used to measure the teachers’ professionalism. The Professional Learning Environment Inventory assesses the professional learning environment of day care centers. To measure the work task motivation, the Work Tasks Motivation Scale for Teachers was used.Results: Firstly, positive relationships were identified between a professional learning environment and their intrinsic motivation and identified motivation. However, there were also negative relationships between the professional learning environment and their introjected motivation and amotivation. Secondly, this study partially verified the mediating effects of the beginning teachers’work task motivation on the relationship between the professional learning environment and teachers’ professionalism.Conclusion/Implications: The relationship between the professional learning environment and the professionalism of beginning teachers was mediated by the teachers’own intrinsic motivations, identified motivations, and amotivation.
Leakage characteristics of a sealing structure with damage holes based on super-resolution infrared thermography technology

Abstract In this paper, leakage characteristics of a sealing structure with damage holes are measured, combining super-resolution algorithms with infrared thermography technology. First, leakage tests of a sealing structure with a single-hole and double-hole are conducted, and some original infrared images are operated to locate the leakage position and calculate the leakage rate. Second, different types of super-resolution algorithms are introduced to generate different high-resolution (HR) infrared images. Finally, the results of the leakage location and leakage rate measured by different HR infrared images of different super-resolution algorithms are compared and discussed, revealing that the machine learning algorithm has the best overall performance. The super-resolution algorithm reduces the measurement error of the leakage rate by 40% and improves the sensitivity of the positioning test by five to ten times. The result indicates that super-resolution infrared thermography is of significant help in ensuring the accuracy of the multiple-hole leakage test.
An Analysis of the Third Year Students’ Ability in Mastering Adjective Complement by using Noun Clause and Phrase at English Department of Bung Hatta University

The purpose of this reserch was to analyze students’ ability in mastering adjective complement by using noun clause and phrase at English Department of Bung Hatta University. The design of this research was descriptive research. The population of this research was the third year students’ at English Department of Bung Hatta University. The total sample member were 24 students. They were chosen by total sampling technique. The data were collected through writing sentence test and multiple choice part. To make the test reliable, the writer used inter-rater method. It means that there were two scorers to check the students’ test. The correlation coefficient was 0.89. it means that the test was reliable. The result of this research of this reserch showed that the students in general had low ability. It was proved by the fact that 16 students from 24 students (66,66%) had low ability. In details, it was proved by the fact that 1 student (4,17%) had very good ability, 4 students (16,67%) had good ability, 3 students (12,5%) had moderate ability, and 16 students (66,66%) had low ability. Based finding of this study, simple conclusion could be drawn that the students had low ability. It is suggested that the students should improve their ability in mastering adjective complement by using noun clause and phrase. Besides, the lecturers are suggested to improve the students’ ability by giving more explanation and exercises to mastering adjective complement by using noun clause and phrase. And, the next resercher is suggested to do related research about problem faced by the students in mastering adjective complement. Key Words : Ability, Mastering, Adjective Complement, Noun Clause, Phrase
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