Reviewerly/exHarmony huggingface dataset:
Prioritizing Defects for Debugging with Requirement-to-Test-Case Mappings

Suppose regression testing reported many defects, and now we need decide about the order in which to correct them. In addition to commonly used defect prioritization based on their business importance, we propose to take into account also dependencies among defects, and to correct defects in an order that reduces the overall debugging effort. A goal here is to start by fixing root causes of failures, i.e., defects that may be causing many other program failures. A related goal is to avoid prematurely fixing defects that depend on other, yet to be fixed defects, as this is likely to incur wastage of time. Our proposed method requires that test cases have been mapped to relevant software requirements. We defined heuristics to infer defect dependencies, and a suitable defect debugging order from these mappings. The process is semi-automatic, supported by a tool called TRAcker. TRAcker accepts test results, performs heuristics-based computations, and recommends a time-efficient defect debugging order from the perspective of defect dependencies. TRAcker’s filtering and visualization features allow a user to participate in the process, so that tool recommendations as well as other factors can be taken into account. We show that defect prioritization on technical and business grounds together contribute to effective debugging.
The Importance of System Quality to the Quality of Information through User Satisfaction in Syntactic Information Systems in the Office of Notary and PPAT Muhammad Haris Fathony, Sh., M.Kn

This study aims to analyze and explain three variables, namely system quality, information quality, and user satisfaction. The effect of information quality as a mediation of system quality on user satisfaction of SINTAKDOMI Web-Based Applications at the Notary Office and PPAT Muhammad Haris Fathony, SH., M.Kn. In addition, this study also aims to analyze and explain the direct effect of system quality on the quality of information on the SINTAKDOMI Web-Based Application at the Notary Office and PPAT Muhammad Haris Fathony, SH., M.Kn. Respondents are employees and customers at the Notary Office and PPAT Muhammad Haris Fathony, SH., M.Kn as users of a Web- Based Application called SINTAKDOMI in the internal office area. The population in this study was 10 employees and 90 customers who used the SINTAKDOMI Web-Based Application. The data collection method used is a census using all analytical techniques using Linear Regression Techniques with path analysis methods. The results showed that the quality of information status is a mediating variable that can mediate the system quality variable on user satisfaction.
Retraction: Research on the Characteristic Model of Survival and Development Behavior of Math Teachers in Higher Vocational Colleges Based on Big Data Technology (J. Phys.: Conf. Ser. 1648 032107)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on Existing Problems and Innovation Strategies in Civil Engineering Construction Technology Based on Computer Technology (J. Phys.: Conf. Ser. 1648 022164)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Retraction: Research on Intelligent Management of Campus Water Supply System under the Background of Big Data (J. Phys.: Conf. Ser. 1744 022005)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Digital transformation of ukrainian libraries in the conditions of globalization transformations

The purpose of the article is to identify current projects of digital transformation of libraries in the period of globalization transformations. The research methodology is based on general scientific and special research methods. In particular, through the use of methods of description and comparison, analysisand synthesis, generalization, and abstraction, the digital transformation of libraries in the period of globalization is highlighted. The scientific novelty of the work is that based on the study of a significant source base, the features of the digital transformation of libraries in the period of globalization arerepresented. Conclusions. Access to information is extremely important for the development of communities and civil society in general. All the steps taken today by the state together with responsible business make information available to rural residents, and libraries - new modern information hubs, centers for revitalizing community life, modern centers for learning and communication. The conclusions state that the further digital transformation of libraries in the period of globalization transforms requires increased attention to improving the policy of implementing concrete steps in this direction. Modern processes of informatization of Ukrainian libraries are constantly dependent on the latest information technologies, to which they are constantly forced to adapt in the course of their promotion in society. Thus, libraries today are new modern information hubs, centers for activating life in the community, and relevant centers for learning and communication. It is in libraries that citizens can realize their need for digital education, and gain access to information and knowledge resources. Learning digital skills throughout life is a necessity of modern man, and libraries are becoming the places where it is possible to do it for free to every member of the community.Key words: library, digital transformation, electronic information environment, digitalization of services.
Edge-Aware Interactive Contrast Enhancement

Contrast enhancement is required in many applications. Many studies have been conducted to perform contrast enhancement automatically, but most of them do not consider various personal preferences for contrast. We propose an edge-aware interactive contrast enhancement algorithm to enable a user to adjust image contrast easily according to his or her preference. A user provides a parameter for controlling the global brightness and two types of scribbles to darken or brighten local regions in an image. Then, the proposed algorithm generates an edge-aware mask by propagating the scribbles to nearby regions and restores an enhanced image through a neural network, called e-IceNet. The user can provide annotations iteratively until he or she obtains a desired image. We train e-IceNet on guidance images to yield reliable results for diverse input images. We also propose two differentiable losses to train e-IceNet effectively and reliably. Extensive experiments demonstrate that the proposed e-IceNet is capable of allowing users to enhance images satisfactorily with simple scribbles, as well as producing enhanced images automatically.
A Robust Offline Reinforcement Learning Algorithm Based on Behavior Regularization Methods

Offline deep reinforcement learning algorithms are still in developing. Some existing algorithms have shown that it is feasible to learn directly without using environmental interaction under the condition of sufficient datasets. In this paper, we combine an offline reinforcement learning method through behavior regularization with a robust offline reinforcement learning algorithm. Moreover, the algorithm is verified and analyzed with a high-quality but limited dataset. The experimental results show that it is feasible to combine the behavior regularization method with the robust offline reinforcement learning algorithm, to gain better performance under the condition of limited data compared with the baseline algorithms.
OPTIMIZING STUDENTS’ SELF REGULATED LEARNING THROUGH ENGLISH PRONUNCIATION APPLICATION IN LEARNING PRONUNCIATION DURING PANDEMIC ERA

The use of mobile technology, especially MALL (Mobile Assisted Language Learning) grows popularly in pandemic era. Most of teacher use it to help students while they are learning at home. This study is aimed at interpreting students' perceptions towards the use of English Pronunciation application on students’ self-regulated learning and investigating the use of English Pronunciation application in optimizing their self-regulated learning in learning pronunciation. Researchers applied a qualitative case study as the research design of this study. The data were collected through questionnaires and interviews. This research involved 25 students of the freshman of English Education Program in a private university in Ciamis. The result shows that the students respond positively on the use of English Pronunciation application in learning pronunciation since it helped them in overcoming their problems in learning pronunciation, especially in pandemic era where they situated to learn at home. The results also indicate that the use of English Pronunciation application in learning pronunciation is effective to optimize students’ self-regulated learning.
A study on Greetings in Japanese Middle School Textbooks in Korea

This study analyzes Japanese greetings in five Japanese middle school textbooks in Korea based on revised government’s curriculum in 2015 by classifying them into 12 situations. The first thing that the study has found is that out of 36 greeting expressions suggested by the 2015 revised curriculum, just 15 greeting expressions are commonly presented in the five textbooks. Therefore, it is necessary to include the rest of the essential expressions in the future textbooks. Secondly, most of the greeting expressions are introduced in pictures. Thus, additional explanations including meanings, usages and detailed features must be included. Thirdly, the textbooks mostly present ‘friend-friend,’ ‘teacher-student,’ or ‘parent-kid’ conversations. But there are many greetings taken place in other relationships, so the textbooks need to add more diverse interactions between a wide range of speakers and listeners. Fourthly, most of the situated dialogues introduced in the textbooks happen in schools or homes. Therefore, it is necessary to present various situations taken place in many different places.
간호대학생의 학업적 자기효능감, 의사소통 명확성, 의사소통 자신감, 자기결정성 학습 동기가 임상수행능력에 미치는 영향

목적 본 연구의 목적은 COVID-19로 인한 수업 방식의 변화에 따라 간호대학생 중 실습유경험자를 대상으로 학업적 자기효능감, 의사소통 명확성, 의사소통 자신감, 자기결정성 학습동기가 임상수행능력에 미치는 영향을 파악하는 데 있다. 방법 연구 기간은 2021년 5월 2일부터 24일까지로 3개 대학교의 간호학과에 재학 중인 224명을 편의 표집하였다. 자료분석은 IBM SPSS 25.0 통계프로그램을 이용하여 5개의 변수를 기술통계, t-test, ANOVA, Pearson's correlation, Multiple Regression을 이용하여 분석하였다. 결과 대상자의 임상 수행능력은 보통보다 높은 수준이었으며, 각 영역별 점수에서 간호기술과 대인관계/의사소통이 가장 높았다. 일반적 특성에 따른 임상수행 능력은 임상수행 만족도, 성인간호학 실습 유무, 전공만족도, 임상실습 만족도, 학업성취 정도에 따라 통계적으로 유의한 차이를 보였다. 학업적 자기효능감, 의사소통 명확성, 의사소통 자신감, 자기 결정성 동기와 임상 수행 능력이 정적 상관관계를 갖는 것으로 나타났다. 임상 실습 만족도, 학업적 자기효능감, 의사소통 명확성, 의사소통 자신감이 임상 수행능력의 영향을 주는 것으로 나타났다. 결론 COVID-19 상황에서 간호대학생의 제한된 환경에서 임상 수행능력을 높이기 위해서는 학업적 자기효능감을 증진시키고 현장에 필요한 의사소통 명확성과 자신감 향상이 필요하다. 이 같은 요소를 향상시키기 위해서는 체계적으로 구성된 교내실습과 임상상황과 유사한 시뮬레이션 실습 프로그램을 개발, 적용하는 것이 필요하다.Objectives The purpose of this study is to understand the effects of academic self-efficacy, communication clarity, communication confidence, and self-determination learning motivation on clinical competence of nursing students in the COVID-19 pandemic situation. Methods From May 2-24, 2021, this study surveyed total 224 students enrolled in the Department of Nursing Science in three universities through the convenience sampling method. Using the IBM SPSS 25.0 Statistical Program for data analysis, total five variables were analyzed by using the descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression. Results The clinical competence of research subjects was higher than the moderate level, and in the score of each area, the nursing technique and interpersonal relationship/communication were the highest. The clinical competence according to the general characteristics showed statistically significant differences according to the clinical performance satisfaction, matter of receiving the practice of adult healthy nursing, major satisfaction, clinical practice satisfaction, and academic achievement. The academic self-efficacy, communication clarity, communication confidence, and self-determination learning motivation had positive correlations with clinical competence. The clinical practice satisfaction, academic self-efficacy, communication clarity, and communication confidence had effects on clinical competence. Conclusions In order to increase the clinical competence of nursing students in the limited environment under the COVID-19 pandemic situation, it would be necessary to enhance the academic self-efficacy, and also to improve the communication clarity and confidence required in field. To improve such elements, it would be also needed to develop/apply the systematic simulation practice program similar to intramural practice and clinical situation.
Efektivitas Model Pembelajaran PjBL Melalui Google Form terhadap Motivasi Belajar Siswa MTs

This study aims to determine the effect of the PjBL learning model through Google Form on students' motivation at MTsN 1 Bengkulu Selatan. This research method uses a Non-Randomized Control-Group Pretest-Posttest Design. The results showed that the average value of learning motivation in the experimental class was 75.96, while in the control class is 47.87. The p-value obtained is 0.000. In conclusion, using the PjBL model through Google Form significantly influences student motivation than conventional learning.&#x0D; Keywords: Google Form, Learning Motivation, PjBL
From the uniform title to the preferred title: the prominence of the cultural and linguistic context

By anchoring the title to a cultural context, it is possible that a universally valid title form (uniform title) does not exist or exist; the form used at the national or regional level is a form commonly used in that or those countries, that is, in a local or national context, not a global one. The concept of preferred title goes beyond, relativizing it, the cataloging model, considered an absolute time for every reality; it is acknowledged that what is valid for a specific cultural and linguistic context does not necessarily apply to the international context. The dissimilar historical behavior is exemplified by two examples: “One Thousand and One Nights”, and “The Chanson de Roland”.
Penggunaan Google Cloud Platform untuk Marketeer dan Analis dalam Pengolahan Data

There are several agencies or companies still use perform manual data analysis using an inefficient platform. This has several drawbacks such as slow data analysis and reporting, thus it is necessary to have a platform and integration process that is easy to use in the data processing and reporting process, because in the process there are still many platforms that are difficult to use and make the analysis process slow. So in this research, Google Cloud Platforms such as Google Analytic, BigQuery &amp; Data Studio are used as a platform to make it easier for marketers and analysts to process data on the KPIs &amp; Metrics that they have determined.
Pengaruh Kecerdasan Emosional Siwa MTsN 1 Kota Ternate Terhadap Prestasi Akademik

The current process towards the goals of education in Indonesia is stillrunning unbalanced because in reality education currently only focuses on one cognitive aspect, namely IQ (intelligent Quotion). Even though IQ is not the only factor that greatly influences student achievement. In the learning process there is a change in the abilities possessed by students in various fields, and that ability is obtained because of the learning effort. Children who master their emotions become more confident, optimistic, have passion and ideals, have the ability to adapt and at the same time they will perform better in school who are able to understand, as well as master the problems that exist Based on the results of research conducted on 50 students MTsN Ternate City shows that the emotional intelligence of students is generally at a value of 34-63% with high emotional intelligence qualifications. This is also in line with the number of students as many as 25 students have an emotional intelligence interval of 50-63%, in the high category, 19 students have an emotional intelligence interval between 35-49% in the medium category and 6 people have an emotional intelligence interval between 10-34 % with low category.
Intelligent Recognition System of Sports Athletes’ Wrong Actions Based on AI+IoT

How to effectively identify errors in athletes’ movements, and then achieve the goal of correcting or eliminating them, is a problem that the sports world is currently trying to solve. Sports field is a field where sensor-based human movement recognition can play a role. Obtaining human body data through sensors can provide data basis for research on the characteristics of human movement, improvement of sports level, and technical movement analysis of sports. The main research direction of this paper is the AI+IoT joint recognition of human movements. The target human movements involved include standing, walking, running, shooting, jump shot, jumping, dribbling, walking dribbling, and running dribbling. Computer vision, as a branch of the artificial intelligence research field, uses computers to simulate human visual cognitive ability, excavate useful information from digitized images or videos without manual intervention, and strive to achieve human understanding of visual signals, and realize the ability to understand visual signals from a low level. Conversion of data input to high-level knowledge output. The system scoring module is the core functional module of the system. It extracts the angle feature of the trainer’s skeleton data, finds the corresponding frame to correspond, and prompts the trainer’s current standard degree of movement in the form of score. In terms of judgment accuracy, the accuracy of all subjects after watching the complete video is higher than the accuracy of the time blocking point, with extremely significant differences, <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>r</mi> </math> = -10.80, df =52, <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>p</mi> <mo>&lt;</mo> <mn>0.001</mn> </math> . This research improves the universality of target detection and extraction in the real natural environment of the machine vision system and improves the complexity and robustness of human action recognition.
Axiological potential development model and its implementation in digital educational environment of a technical university

Nowadays, it seems necessary to study the axiological potential of students in the digital educational environment of a technical university. This study, conducted on the basis of the experimental sites of the Federal State Budgetary Educational Institution of Higher Education, offers the model for the axiological potential development among students and its implementation in the digital educational environment of a technical university. The axiological potential of technical university students is manifested in the value attitude to educational and research activities, awareness of needs and opportunities, in the development of abilities to the level of productive activity, in the implementation of abilities and self-fulfillment. The article analyzes the model for student axiological potential development in the digital educational environment of a technical university, pays attention to methodological approaches, a set of pedagogical conditions for development and the structural-level content of axiological potential components among the students of a technical university.
A New Era in the Fight Against Online Misogyny

In this chapter, Priyank Mathur, the Founder and CEO of Mythos Labs, draws from his organization's fieldwork and research to highlight the growing threat of online misogyny and hate speech targeting women, as well as to highlight the strengths and weaknesses of innovative counter-measures in South Asia. The chapter will focus on two counter-measures in particular: a social media literacy capacity-building programme titled the “My Power” trainings, as well as a counter-narrative video campaign that uses humour to combat gender stereotypes and misogyny. Lastly, the chapter will lay out a series of actionable recommendations for governments and civil society organizations to better understand and mitigate the gendered risks of online harm.
The Trend of Using the Same Platform in Distance Learning during the Covid-19 Pandemic

This study aims to determine students' tendency to use the same or different platforms in distance learning to create effective and joyful learning. The study was conducted on 119 students from the Department of Family Welfare Education, Universitas Negeri Jakarta, from April to May 2020. The research was conducted using survey methods—data collected through questionnaires and online interviews. Data analyzed descriptively. The results showed that 74 of 119 students preferred using the same platform during learning. The consistent use of platforms makes it easier for students to access so that the student just focus on lecture material.
Introduction to the Second Edition

Предисловие ко второму изданию - Institutional repository of Federal State Autonomous Educational Institution of Higher Professional Education Ural Federal University named after the first President of Russia B.N.Yeltsin