Reviewerly/exHarmony huggingface dataset:
EXAMINING FACE-THREATENING ACT OF JAPANESE ADVERB YATTO

Abstract In intercultural communications, we can anticipate the occurrence of unintended face-threatening acts (FTA) which leads to miscommunication. This study discusses the possible FTA by the speaker who does not intend to threaten the interlocutor’s positive and negative face by using one of the Japanese temporal adverbs, yatto. This adverb expresses the speaker’s evaluative meaning, is achieved through various obstacles and the effect takes a long time to achieve. In addition, the word yatto also implies an achievement that is attained by either barely sufficient abilities or because of an immediate deadline. Therefore, when being used to talk about the interlocutor's or the other person’s action, it can threaten his/her face. It is necessary to clarify the possibility of threatening other people's positive and negative faces even though it is unintentional because Japanese teachers and learners are mostly unaware of it. Many of them associate the word yatto as akhirnya in Bahasa Indonesia or finally in English, which does not contain the speaker’s evaluative meaning. Accordingly, the subject of this study is to clarify the conditions of use when the word yatto becomes an FTA. To clarify the problem, this study uses descriptive and qualitative methods and employs the theory of politeness, especially the theory of face-threatening acts (FTA) by Brown and Levinson (1987). Inspired by Kamio (1990)’s notion of the territory of information, there are three types of the territory of information for the yatto adverb; (a) the information that falls to the territory of the speaker, (b) to both of the speaker’s and the interlocutor’s or the other person’s, and (c) to the interlocutor. As the main finding of the research, the factor causing FTA for positive and negative faces, namely FTA which occurs when the speaker talks about the action, falls to (c) the third territory. In the case of the benefactive -tekureru or -temorau forms used together, the meaning appreciating the actions of the interlocutor or the third person, it works as positive politeness to them as an agent. On the contrary, expressing thanks threaten the speaker's negative face.
Students’ Strategies in Translating English Idioms into Bahasa Indonesia of English Language Education

Some people find it hard to find the equivalent meaning of English idioms to the target language. This might be caused by their culture and different terms. This study aims to describe the strategies that students use in translating the English idioms into Bahasa Indonesia. The researchers used descriptive qualitative research, and the subjects of this research were 50 students batch 2017 of English Department Universitas Lambung Mangkurat in translation class. The instruments to collect the data were a test and a questionnaire. The data analysis applied was descriptive analysis which involves organize it, divide it into manageable units, and summarize it. The findings showed that the students used four strategies. First, they used idioms of similar meaning and form strategies. Second, students translated using the idioms of similar meaning, but dissimilar form strategies. Students who don’t know the same idioms from the SL used the third strategy, translation by paraphrase to see the entire context and paraphrase to find the meaning, change the idiom to non-idiom is easier to understand the meaning. The last strategy is translation by omission, if paraphrasing idioms is difficult then students will be omitted the entire idioms or sentences.
Value Input Application (E-Pak) Functional Position of Bandung City Health Department Based on Web Database

Technology is present and becomes a part of human life. Each era has its own technological advantages. The history of technology begins millions of years ago. The first technology discovered by mankind was to create sharp stone chips which were used as stones. Then humans began to develop and found several technologies, one of which was computers and the internet. computers and the internet have a close relationship, especially in today's era where all activities cannot be separated from computers and the internet. One of these activities is in the office world. The Bandung City Health Office is a government agency that has a lot of data, especially in the section where the author is placed, namely the Division of Human Resources and Health or SDMK. The SDMK Division is tasked with receiving data on the credit score of a functional position from the assessment team to calculate whether a functional position is eligible for promotion or not. On that basis, the purpose of this paper is to create an application for inputting the credit score for a functional position based on a web database to make it easier for the assessment team, SDMK to view, recap and change credit scores as well as a functional position in viewing its credit score. The main finding is a web database-based application called E-PAK.
THE MAIN PRIORITIES FOR IMPROVING THE QUALITY OF EDUCATION IN SECONDARY SCHOOL

The article focuses on the theoretical and practical problems of teaching and learning paradigms in secondary schools.It is noted that one of the essential conditions for a teacher to establish a sincere human relationship with students is to become a person who is needed by our people, our homeland.It also has a positive effect on their formation as adults.The torch created by the teacher illuminates the life of every student who takes his first fragile steps to school.The upbringing of students, their upbringing as an individual, as a citizen, as a perfect person is the duty and honor of every teacher.Along with the professional qualities of the teacher, the personal example of the teacher has a great influence on the suitable regulation of the teacher-student relationship.The article also attitudes on the main conditions of the school regime and shortcomings in the teacher-student relationship.
Cloud Computing Applications in Universities

Information technology plays an important role in education, and our country pays more and more attention to the application of information technology. Cloud computing is a technology that has emerged and spread rapidly in recent years. It is an on-demand computing service based on the Internet. The main goal of this paper is to highlight the significance of cloud computing in universities. This paper introduces the paradigms, concepts, levels, types and characteristics of cloud computing. Cloud computing technology has improved the performance of universities and played an important role in reducing costs. In addition, this paper presents the factors that influence universities' adoption of cloud computing.
Increasing Resilience via the Use of Personal Data: Lessons from COVID-19 Dashboards on Data Governance for the Public Good – Corrigendum

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Pengaruh Dimensi Fraud Diamond dan Penyalahgunaan Teknologi Informasi Terhadap Perilaku Kecurangan Akademik Mahasiswa Akuntansi saat Perkuliahan Online

This study aims to determine the effect of the fraud diamond dimensions consisting of pressure, opportunity, rationalization, and ability, as well as the effect of misuse of information technology on the academic cheating behavior of accounting students during online lectures. The author chooses students of the accounting study program of West Java province as the research subjects. This type of research is a quantitative research. The sample selection technique used purposive sampling, in determining the sample size of 384 samples. The data analysis technique used was multiple linear regression analysis using SPSS version 16 software. The results showed that partially the pressure variable had no significant effect on the academic cheating behavior of accounting students, while opportunity, rationalization, ability and misuse of information technology had a significant effect on fraudulent behavior. academic accounting students. Simultaneously, all independent variables have a significant effect on the academic cheating behavior of accounting students.&#x0D; &#x0D; Keywords: Academic Fraud Behavior, Fraud Diamond (Pressure, Opportunity, Rationalization, and Ability) and Information Technology Misuse
Acquiring English Vocabulary at Children Aged 9-11 Years Old During Covid-19 Pandemic

Covid19 pandemic has changed the education system. Almost all educational institutions reduced face to face learning and applied online learning. The Indonesian government supports this system by providing internet credit subsidies to students and teachers. It triggers students to often use gadgets such as learning, playing online games, or browsing internet sites. One of the impacts of this pandemic period is the process of English Language Acquisition in children. The purpose of this study was to determine the process of acquiring English vocabulary and kinds of English vocabulary in children aged around 9-11 years. The researchers applied descriptive qualitative study by involving three participants aged 9,10,11 year old. To get more valid data, researchers observed participant activities, especially how their English vocabulary was obtained and the English vocabulary was what they produced. In addition to deepening data, researchers also conducted semi-structural interviews to participants. Interviews were also carried out to determine the extent to which they understood the English vocabulary they produced. The results showed that there were several ways children to obtain English vocabulary during Covid 19 pandemic, imitating someone's words, hearing or reading from online games, listening to music, watching television, and reading vocabulary on food wrap. The types of English vocabulary they get are nouns, verbs, adjectives, and adverbs. It can be concluded that children acquired English vocabularies during the Covid 19 pandemic which is one of the consequences of the use of gadgets that must be for learning activities. However, there are some English vocabularies that are still taboo for them. The results of this study are expected to increase parents' awareness in overseeing the use of gadgets for children because not all English vocabulary they get is in accordance with Indonesian culture.
Translation-Based Instructional Material in Mathematics and ProblemSolving Abilities of Grade 5 Pupils

Problem-solving skill refers to the ability to solve difficulties efficiently and without hindrances. It entails identifying and defining the problem, developing a strategy, creating different solutions, evaluating and selecting the best alternative, implementing the chosen solution, and re-checking the solution by reviewing the process. Learning how to translate situations, tables, graphs, and formulas (symbolic) is a big help in creating differentiated activities that will help students improve their problem-solving skills. To back up this claim, this study included the use of translation action in a prepared instructional material and evaluated its impact on increasing students' problem-solving abilities. During the academic year 2020-2021, thirty (30) Grade five students participated in the study, which used a one group pre-test and post-test research design to achieve the study's aims. The results revealed a substantial difference between the student-respondents' pre-test and post-test performance, implying that the translation activity aided students in improving their problem-solving abilities. This means that they were able to reach suitable mastery to mastery level of performance from the beginning to the end of the problem-solving process. In addition, in this time of pandemic, the usage of the designed instructional material encourages students to participate in more activities. Teachers should utilize the translation-based instructional material as an additional worksheet, according to the study, because it can assist students improve their mathematics skills and talents in answering word problems.
Real-time performance evaluation of BGSLibrary algorithms for intelligent surveillance

&lt;p&gt;Background subtraction is the first and basic stage in video analysis and smart surveillance to extract moving objects. In fact, the background subtraction library (BGSLibrary) was created by Andrews Sobral in 2012, which currently combines 43 background subtraction algorithms from the most popular and widely used in the field of video analysis. Each algorithm has its own characteristics, strengths and weaknesses in extracting moving objects. The evaluation allows the identification of these characteristics and helps researchers to design the best methods. Unfortunately, the literature lacks a comprehensive evaluation of the algorithms included in the library. Accordingly, the present work will evaluate these algorithms in the BGSLibrary through the segmentation performance, execution time and processor, so as to, achieve a perfect, comprehensive, real-time evaluation of the system. Indeed, a background modeling challenge (BMC) dataset was selected using the synthetic video with the presence of noise. Results are presented in tables, columns and foreground masks.&lt;/p&gt;
Influence of Structure Information for Cross-domain Person Re-identification

Cross-domain person re-identification (re-ID) is a challenging task in computer vision research. We intent to learn a discriminative model when given labeled source and unlabeled target datasets, in order to obtain good results on the target test datasets. In this paper, we add structure information for pedestrian images. To this end, we evaluate the influence of structure information for cross-domain re-ID in the deep networks and a series of experiments with different settings on Market-1501 and DukeMTMC-reID are conducted. The influence of structure information on the effectiveness in the optimized deep models is shown in the experimental results.
Lotka’s Law and Author Productivity in the Economic Literature: A Citation Study

The present study is to analyze citation pattern of Economica, New Series as a source journal in order to determine the application of Lotka’s law and author productivity in the economic literature. It is an international journal devoted to research in all branches of economics. The article covers 8347 citations appended to 302 articles appeared in volume 74, number 393 to volume 83, number 432 during the year 2007 to 2016. Findings indicate that 10 volumes (40 issues) of Economica, New Series contained 8347 citations in 302 articles which mean that average number of citations appeared 208.675 citations in each issue. Major forms of literature are journal articles 5328 (63.831%) and followed by books 2211 (26.489%) citations. Out of 5328 journal citations 1013 (19.013%) citations are single authored journals and 4315 (80.987%) citations are multi-authored journal. The Lotka’s law is not suitable for the economic literature of author productivity distribution.
Mitigasi Banjir Berbasis Masyarakat Pada Desa Rawan Banjir Di Kabupaten Barito Kuala

Sungai Lumbah Village and Bangkit Baru Village are two villages that experienced severe flooding in 2021. The flood events occur every rainy season and high tides. The purpose of this study was to analyze community-based flood mitigation in flood-prone villages, Barito Kuala Regency. The research was carried out in two villages, i.e., Sungai Lumbah Village and Bangkit Baru Village, with a total of 50 informants. The results showed that the pre-flood mitigation carried out by the community was by elevating the rice storage area. The community has never received socialization by the local government regarding flood prevention, but they did it on their own initiative and formed a flood alert team. When there was a flood, they set up a relief center to help the affected people. After the flood, the community cleaned up the flood marks in their respective homes and repaired the damaged agricultural land. Flood management is still carried out on the community's own awareness and is carried out voluntarily.
Automatic management analysis of computer software engineering project based on data mining

In recent years, with the continuous development of data technology, especially with the continuous improvement and research and development of software systems, software development has become a very complex system engineering. Because the backward software production method can't meet the increasing demand of computer software, a series of problems have appeared in the development and maintenance of software engineering. Software projects are different from other projects, and the general project management method can't be applied to all software project management. This paper puts forward the application of data mining in software engineering. Data mining is an interdisciplinary subject involving many fields, and it has many mature technologies. The quantitative analysis method of demand evolution influence based on data mining clusters the new demand and the existing demand of software projects, and puts forward corresponding strategies to solve them, thus improving the automation management level of computer software engineering.
Comparative Study Between International and Domestic English Proficiency Standards From a Diachronic Perspective

This paper intends to explore the relationship between international English-language proficiency scales and the English teaching syllabus for domestic universities by comparing their objectives, standards and definitions of proficiency. The results show that the development of English proficiency standards in China is always accompanied by the evolution of international language proficiency theory, and combined with its practical application in various countries. It is suggested that the college-level standard of English proficiency in China should be set based on the research of domestic and international scholars and organizations on language proficiency scales. At the same time, by drawing lessons from proficiency scales and adapting them to the English language scales used in China, a standard, comprehensive language proficiency system for teaching English can be established.
Multimedia Based English Vocabulary Lesson in The Elementary School: A Classroom Action Research (CAR) Approach

English vocabulary mastery in elementary school is considered low, proven by students' shared understanding of English.Teaching English vocabulary to children is not an easy problem.If taught by force, it can cause children to become bored quickly.For the results of learning English better, the teacher must create a learning process that is more fun and more practical.Learning multimedia-based English vocabulary is an alternative that can be taken.Using computer media can help children (in this case, elementary school students) to improve their ability in mastering English vocabulary and attract elementary school students to learn more fun.This study aims to create a basic learning model of multimedia-based English vocabulary in elementary school students in improving essential English vocabulary mastery.This research was conducted on elementary school students in the city of Makassar.This study used Classroom Action Research techniques, a learning application in animated media pictures and writing.Using multimedia is expected to improve the mastery of English vocabulary in elementary schools quickly.From the research results obtained, with two cycles of learning using multimedia alone, about 90% of students have been able to read, interpret, and write vocabulary correctly, which if only using conventional techniques, there are still about 73% of students who cannot.
Deteksi Wajah Berbasis Facial Landmark Menggunakan OpenCV Dan Dlib

Computer science and information technology have advanced in a variety of sectors that were previously unachievable due to constraints such as hardware. Computer vision can be used to recognize an object using computer science. Objects can be recognized by taking or recording photos or videos and then processing them using specific tools and methodologies. The goal of the facial landmark-based face detection research using OpenCV and Dlib is to perform face detection in people so that it can be used for a variety of purposes in the future. The strategy employed in this study was the usage of facial landmarks using OpenCV and Dlib to improve face detection accuracy. Face detection has been effectively carried out based on facial landmark points, according to the findings of testing the entire system. Face landmark-based face detection is more accurate using the OpenCV Dlib, which can be seen during processing in the OpenCV Dlib, which can precision photos based on facial movements.
Can Ready-to-Use RNNs Generate “Good” Text Training Data?

There is much research on the state-of-the-art techniques for generating training data through neural networks.However, many of these techniques are not easily implemented or available due to factors such as copyright of their research code.Meanwhile, there are other neural network codes currently available that are easily accessible for individuals to generate text data; this paper explores the quality of the text data generated by these ready-to-use neural networks for classification tasks.This paper's experiment showed that using the text data generated by a default configured RNN to train a classification model can match closely with baseline accuracy.
Digital Data Forgetting: A Machine Learning Approach

Abstract: Our lives have become increasingly reliant on data as the globe undergoes a rapid digital change. People nowadays collect a vast amount of data in order to obtain useful information, as the outcomes obtained from them are critical for planning. It's becoming more difficult to acquire and use data on computers as it grows in size. As a result, we may encounter data storage issues in the future. As a result, we propose a machine learning approach called "Digital Data Forgetting" to address this issue. These algorithms will not only delete non-valuable data, but they will also lower the size of the dataset. This is referred to as 'Big Cleaning.' For experimental purposes, we use Principal Component Analysis, K-nearest Neighbours, and Logistic Regression. Keywords: Digital Data Forgetting, Deep Autoencoders, PCA, Cleaning, Machine Learning, Logistic Regression.
Do API-Migration Changes Introduce New Bugs?

Software quality is broadly dependent on the use of dependent platforms, compilers, and APIs. This research reports a case study exploring the risk of API-migration activities in the regard of bug-introducing changes and software maintenance quality. The study involves screening tens of thousands of commits for six large C++ open source systems to identify bug-introducing commits caused by undertaking adaptive maintenance tasks through using traditional heuristic approaches. The obtained results show that 14.5% to 22.2% of examined adaptive commits enclose buggy code changes and so developers have to consider the potential risk of introducing new bugs after undertaking API-migration practices. Moreover, from investigating the bug fixing activities made by API-migration tasks, we provide a demonstration that typically these fixing activities do not cause further bugs and hence are safe undertakings. We feel that this work has developed a data set that will be used for constructing approaches to identify, characterize, and minimize potential adaptive maintenance practices that introduce bugs into a software system.