Reviewerly/exHarmony huggingface dataset:
A study on the effect of the Busan mayor"s lawsuit against Busan MBC’s ‘Big Bunker’ and the Busan mayor"s communication competence on the citizens’ "chilling effect" and the "support" for the mayor

최근 부산광역시 시장이 자신의 공약을 검증한 부산MBC 빅벙커에 의해 피해를 입었다며 소송을 제기했다. 시민사회 단체들은 이 소송이 표현의 자유를 제한하는 봉쇄소송이라고 주장했다. 이 연구는 공인인 부산시장의 언론의 자유와 소통 방식에 대해 실증적으로 평가해보고, 공인의 언론과 시민 대상 소통의 방향성에 대한 제언을 해보고자 했다. 이 연구의 결과는 다음과 같다. 첫째, 2022년 지방선거에서 박형준 시장에게 투표(지지)했는지 유무에 따른 측정 변인 간의 차이를 확인하기 위해 독립표본 t검증을 실시했다. 분석결과에 결과에 따르면 박형준 시장에게 투표하지 않은 사람은 투표한 사람에 비해 전략적 봉쇄소송, 공인의 언론사 대상 소송, 부산시(장)의 전략적 봉쇄소송을 부정적으로 평가했고, 공적표현 과정에서 위축효과를 느끼는 정도가 높았다. 둘째, 박형준 시장에게 투표하지 않은 사람을 대상으로 분석을 진행한 결과 공인의 언론사 대상 소송에 대한 평가, 부산시의 소송이 전략적 봉쇄소송이라는 인식, 부산시장의 소통 역량이 낮다는 인식은 공적표현 과정의 위축효과를 이끌어 냈다. 셋째, 부산시장의 소통 역량이 높다는 인식, 공적표현 과정에서의 위축효과를 느끼지 않는다는 인식은 부산시장에 대한 신뢰도를 이끌어 냈다. 넷째, 부산시장에 대한 신뢰도는 부산시장에 대한 지지를 이끌어 냈다. This study empirically assesses the mayor"s dealing with the freedom of the press and methods of communication as a public figure and proposes the directionality of other communication of public officials with the press and citizens.The findings are as follows: First, The analysis results show that those who did not vote for the mayor had stronger negative evaluations of strategic lawsuits against public participation, public figures" lawsuits against the press, and the mayor"s strategic lawsuit against public participation and felt greater chilling effects in the public expression process than those who voted for him. Second, the study analyzed those who did not vote for the mayor and found that their evaluation of public figures" lawsuits against the press, their perception of the mayor"s lawsuit as a strategic lawsuit against public participation, and their perception of the mayor"s lower communication competence led to chilling effects in the process of public expressions. Third, the perception that the mayor had high communication competence and that no chilling명 effects were felt in the process of public expression led people to trust in him. Finally, trust in the mayor led to support for him.
A Study on the Development of the Digital Competency Measurement Questionnaire for Vocational Training Teachers

디지털 전환에 따라 산업구조와 기술변화가 빠르게 변하는 시대에 직업훈련의 고도화를 위해 직업훈련교사의 전문성과 역량을 파악하고 부족한 역량을 강화해야 한다. 이를 위해 직업훈련교사의 디지털 역량을 자기보고식으로 측정할 수 있는 설문도구를 개발하는 것이 주요 연구 목적이다. 선행연구 조사 및 전문가 FGI를 통해 예비 설문 문항을 개발하고 직업훈련교사 대상으로 설문조사를 진행하였다. 수집된 221건의 응답 데이터로 탐색적 요인분석을 실시하여 추출된 요인을 파악하였다. 최종적으로 개발된 직업훈련교사의 디지털 역량 측정 도구는 디지털 기본 역량과 디지털 교수 역량으로 구분하였다. 디지털 기본 역량은 3개 하위 요인, 22개 문항으로 구성하였고, 디지털 교수 역량은 3개 하위 요인, 24개 문항으로 구성하였다. 향후 본 연구의 결과물은 직업훈련교사가 자가로 디지털 역량을 진단하여 부족한 부분을 보완할 수 있는 지표가 될 수 있을 것으로 기대하고 있으며, 더 나아가 여러 직업훈련교사의 설문 결과 분석을 통해 직업훈련교사의 보수 교육 과정 개설, 보수 교육 콘텐츠 개발 등을 위한 기초자료로 활용되기를 기대한다.In an era where industrial structures and technologies are rapidly changing due to digital transformation, vocational training teachers should be identified and their insufficient capabilities should be strengthened to advance vocational training. To this end, the main purpose of the study is to develop a questionnaire tool that can measure the digital competency of vocational training teachers in a self-report manner. Preliminary questionnaire items were developed through precedent research and expert FGI, and a questionnaire survey was conducted for vocational training teachers. Exploratory factor analysis was conducted with the collected 221 response data to identify the extracted factors. The finally developed digital competency measurement tool for vocational training teachers was divided into digital basic competency and digital teaching competency. Basic digital competency consisted of 3 sub-factors and 22 questions, and digital teaching competency consisted of 3 sub-factors and 24 questions. Using the study results, it is expected that vocational training teachers will be able to diagnose digital competencies and use them as an index to find and supplement their shortcomings on their own. It is expected that it will be used as basic data for opening teachers' refresher education courses and developing refresher education contents.
Quantum Dynamics is Not Strictly Bidivisible

We address the question of the existence of quantum channels that are divisible in two quantum channels but not in three or, more generally, channels divisible in n but not in n+1 parts. We show that for the qubit those channels do not exist, whereas for general finite-dimensional quantum channels the same holds at least for full Kraus rank channels. To prove these results, we introduce a novel decomposition of quantum channels which separates them into a boundary and Markovian part, and it holds for any finite dimension. Additionally, the introduced decomposition amounts to the well-known connection between divisibility classes and implementation types of quantum dynamical maps and can be used to implement quantum channels using smaller quantum registers.
Determination of Exemplary Lecturer Decision Making with Modified Attributes and Criteria Prioritization Technique

The problem of determining exemplary lecturers is included in the multi-criteria decision making problem because the assessment can be based on predetermined assessment criteria. Consequently, determining exemplary lecturers is an important aspect of improving the quality of education in an institution. In order for the final outcomes of exemplary lecturers to be objective and to examine various values for each criterion and criterion characteristic, decision-making processes are obviously required. Consequently, the goal of this study is to provide a model for evaluating the performance of exemplary lecturers by employing decision making with changed criterion characteristics and criteria prioritization strategies based on the Rank Order Centroid (ROC) method. At the end of the procedure, the best alternative will be chosen based on the choice assessment model for identifying excellent lecturers with a case study at institution XYZ. Analysis of the final results revealed that the decision assessment model was influenced by modifying the assessment attributes using a Likert scale. The final results revealed that one of three alternative candidates for exemplary lecturer was selected based on alternative values for each criterion.
Implementation Of The Data Mining Cart Algorithm In The Characteristic Pattern Of New Student Admissions

University of Harapan Medan is one of the private universities in North Sumatra which has an Informatics Engineering Study Program with Good Accreditation. With better accreditation, the number of students who register is also increasing. At the admission of new students, the committee has a huge pile of data, making it difficult in the process of whether the student passed or did not pass. Therefore, in this study, we will implement data mining with the CART (Classification And Regression Tree) algorithm. Data mining is a technique to determine the characteristic pattern of a variable or data criteria with a large amount. In the CART method, the data is first converted into testing data, which will then be used to form a classification tree by calculating the value of information gain, Gini index and goodness of split. From the results obtained, it will be re-determined terminal nodes, marking class labels and finally pruning the classification tree which produces a decision tree. In this study, the number of testing data was 75 with 3 criteria, namely the average value of report cards, CAT test scores, and interview scores. The results of testing data testing using RapisMiner 5.3 software produce 23 number of characteristic pattern rules, where node 1 is the CAT test score, level 1 branch node is the interview score criteria and level 2 branch node is the average report card value.
Exporting Shame: Competing Ownership Models in Pirated Transnational Media Flows

When Skam (NRK 2015(NRK -2017) ) premiered in Norway, it was done with little fanfare: no advance promotion, no cast interviews, just a three minute and twenty second clip of three teenagers hanging out after school.By the end of the first week, the series broke viewership records for the public service broadcaster NRK, indicating just some of the success the series would go on to have (Murray).Within three years, Skam spawned remakes in seven different countries, won four Gallruten awards in Norway, and cultivated a fervent international fan base.On Tumblr, for instance, it was the most active fandom for a live-action series in 2017 ("Year").All this success came without the original version ever being officially translated or distributed outside of Scandinavia.Many media analyze Skam's success in relation to the show's original Norwegian distribution strategy, which eschewed traditional episodes on linear television in favour of dropping clips online in real time.However, this paper focuses on the franchise's distribution after leaving Norway, both officially via remakes and unofficially
Re-Engineering of Library in Digital Environment: Issues and Trends

Technology facilitates seamless access and distribution of information across borders. As information changes, the way it is created, stored, accessed, edited, and searched changes in the library environment. We are in the electronic information age where technological advances are reshaping the global information industry. Libraries are changing due to factors such as user numbers, technology improvements, digital libraries, and new planning and management approaches. This article explores the transformation of libraries, including library-publisher relationships, word-of-mouth (WOM) and electronic marketing media, institutional repository development, connecting with entertainment media, open educational sources, more commercial document delivery, and remote. I will try to enumerate various trends. access, e-books and more. The success of libraries increasingly depends on restructuring through the most effective and strategic management of new technologies.
Students’ digital literacy analysis in Institut Pendidikan Tapanuli Selatan based on length of study and gender

The aim of this research is to analyze the digital literacy abilities of students at the South Tapanuli Institute of Education in terms of the length of study and gender. This research is quantitative and descriptive. Based on the research results, it can be concluded that students with different lengths of study and gender have different abilities to use technology. The achievement percentage for functional skills and beyond is 85% and 87% respectively, with males achieving 75% and females achieving 78%. The ability to find and select information is in the "very good" category with an achievement percentage of 85% and 87%. For critical thinking and evaluation, students in semester 5 achieved 65%, while students in semester 7 achieved 72%. Males achieved 75% and females achieved 78%. For cultural and social understanding, students in semester 5 achieved 50%, while students in semester 7 achieved 50%. Males achieved 53% and females achieved 40%. For e-safety, students in semester 5 achieved 70%, while students in semester 7 achieved 73%. Males achieved 70% and females achieved 72%. The results of the study also show that the comparison of digital literacy abilities of students with different lengths of study, semester 7 is greater than semester 5. The value of digital literacy for females is 87% higher than the value for digital literacy for males, which is 85%.&#x0D; Keywords: literacy digital; students; length of study; gender
Intersecting families of graphs of functions over a finite field

Let U be a set of polynomials of degree at most k over Fq, the finite field of q elements. Assume that U is an intersecting family, that is, the graphs of any two of the polynomials in U share a common point. Adriaensen proved that the size of U is at most qk with equality if and only if U is the set of all polynomials of degree at most k passing through a common point. In this manuscript, using a different, polynomial approach, we prove a stability version of this result, that is, the same conclusion holds if |U| &gt; qk − qk − 1. We prove a stronger result when k = 2. For our purposes, we also prove the following results. If the set of directions determined by the graph of f is contained in an additive subgroup of Fq, then the graph of f is a line. If the set of directions determined by at least q - sqrt{q}/2 affine points is contained in the set of squares/non-squares plus the common point of either the vertical or the horizontal lines, then up to an affinity the point set is contained in the graph of some polynomial of the form αxpk.
Flood Detection Using Backpropagation Neural Network Method

Lack of river and watershed management will cause problems and disasters. One of it is the flood that can cause physical, social and economic loss. So countermeasures or flood anticipation are needed by using the Early Warning System (EWS) to provide early information if a flood is going to occur. This study uses five input indicators: temperature, humidity, water discharge, water surface altitude and rainfall data that will produce output in the form of notifications and alarms for the Early Warning System (EWS). Then the input and output data configuration will be processed using a Backpropagation Neural Network. Data used is data recorded in real-time on the research object for two weeks with the composition of training and testing data with a percentage of 80% and 20%. The best backpropagation neural network model used has the input of 5 neurons layer architecture, 15 neurons as the hidden layer and three neurons as the output layer. The flood prediction result uses the Backpropagation Neural Network method, has an RMSE score performance of 2.16e-21 and a percentage success testing system of 91.33%. It shows that the model has an excellent accuracy level.
Pengembangan e-Book Menggunakan Aplikasi Flip Pdf Corporate Edition Pada Mata Pelajaran Bimbingan TIK Kelas VII SMP

This development research aims to produce e-book-based teaching materials on ICT guidance subjects for class VII junior high school. The development of e-book-based media using the Flip PDF Corporate Edition application seeks to help the learning process for students to be more interesting and enjoyable and can be used anytime and anywhere. This research stems from the results of interviews from educators who need media or media variations in supporting students to learn at SMP Negeri 25 Padang. The development that researchers do uses the 4D development model. The stages of research using this 4D model are Define, Design, Development, and Dissemination. The instruments used are interviews, documentation and assessment sheets (questionnaires). The results of the research conducted explained that the research from the media validator was "Very Feasible" with an average obtained of 4.86 and a percentage of 97.35%. The assessment of the material validator was declared "Very Suitable" with an average score obtained of 4.78 and a percentage of 95.7%. While the practicality assessment from students was declared "Very Practical" with an average obtained of 66.95 from the maximum average score of 70 and a percentage obtained of 95.64% with 21 students as respondents. Based on these calculations, the conclusion of the e-book-based learning media in class VII ICT guidance subjects developed is "Very Practical" to be used in the learning process. So it can be concluded that the validity test and practicality test can be concluded that this e-book is suitable for use.
Optimizing the Online Performance Management System Application in Supporting the Performance of the Republic of Indonesia Police

The development of an Online Performance Management System (SMK) application system in improving the performance of Polri officers is a goal to be achieved.The existence of an Online SMK application system will provide convenience in assessing the performance of personnel, especially Polri personnel.In fact, even though the Online Vocational School application has been designed in such a way as to comply with the implementation of objective performance appraisals, this does not guarantee that the online Vocational School application is running optimally.A special evaluation is needed regarding the implementation of the Online SMK application and changes are required regarding the procedures for evaluating the performance of Polri personnel so that the assessment results can become an appropriate and accurate reference in assessing performance.
Detecting and analyzing fine-grained user roles in social media?

While identifying specific user roles in social media -in particular bots or spammers- has seen significant progress, generic and all-encompassing user role classification remains elusive on the large data sets of today?s social media. Yet, such broad classifications enable a deeper understanding of user interactions and pave the way for longitudinal studies, capturing the evolution of users such as the rise of influencers. Studies of generic roles have been performed predominantly in a small scale, establishing fundamental role definitions, but relying mostly on ad-hoc, data set-dependent rules that need to be carefully hand-tuned. We build on those studies and provide a largely automated, scalable detection of a wide range of roles. Our approach clusters users hierarchically on salient, complementary features such as their actions, their ability to trigger reactions and their network positions. To associate these clusters with roles, we use supervised classifiers: trained on human experts on completely new media, but transferable on related data sets. Furthermore, we employ the combination of samples in order to improve scalability and allow probabilistic assignments of user roles. Our evaluation on Twitter indicates that a) stable and reliable detection of a wide range of roles is possible b) the labeling transfers well as long as the fundamental properties don?t strongly change between data sets and c) the approaches scale well with little need for human intervention.
DOES MARKETING CAPABILITIES MEDIATE ON THE ICT’S ADOPTION AND BUSINESS PERFORMANCE OF THE SMEs IN OMAN? CONCEPTUAL REVIEW

The main purpose is to review the empirical evidence and summarize the marketing capabilities' mediating effects on the adoption of ICTs and business performance of the Small and Medium Enterprises (SMEs) in Oman and develop a conceptual framework. Data were collected from the existing literature from different online sources. The study review findings revealed a significant gap in the literature regarding the full understanding of the simultaneous relationship among ICTs, marketing innovation, and business performance in SMEs. Most studies have concentrated on analyzing and discussing only one or two of these phenomena at a time. However, the other studies that have examined the simultaneous relationship among the three variables mentioned above have generally ignored the component of marketing capabilities, focusing instead on the idea of innovation in its broader sense. The present study findings also establish a lack of or insufficient empirical studies that broadly examine the contribution of ICTs adoption among SMEs and its effect on companies’ capabilities, such as marketing capabilities, and consequently its effect on business performance, especially in developing countries. Therefore, the present study is motivated to develop a conceptual framework for measuring the mediating effect of the marketing capabilities, ICTs adoption and business performance of SMEs in Oman one of the developing countries.
Peningkatan Keahlian Bahasa Inggris Guru di Kelas Secara Kontekstual di SMP Islam Manbaul Ulum, Gresik

In this modern era, teachers are required to be able to master various things to support the teaching-learning process, one of which is the ability to use foreign languages such as English. However, not all teachers are trained in using English during the teaching-learning process. This phenomenon happened at the SMP Islam Manbaul Ulum, Gresik, where there were many teachers who had not mastered the use of English in classroom activities. Therefore, it was necessary to have training to improve English skills for teachers in the classroom contextually. This training was intended so that teachers are familiar and trained in integrating English in the teaching process. This training consisted of 4 stages, namely 1) understanding the material, 2) practice and training, 3) implementation, and 4) evaluation. In stage 1, the teachers received an explanation of the expressions that are commonly used during the teaching process in the classroom. At stage 2, the teachers had the opportunity to practice and practice directly. In stage 3, the teachers implemented to the students what they have learned before. Finally, the evaluation was carried out jointly between the teachers, the principal and the service team. From the results of the evaluation, it was concluded thatthe teacher found it helpful in using English in a contextual manner.
Prognostic Maps of Climatic Indicators Based on a Multivariate Neural Network

The paper is concerned with the construction of maps of climatic indicators using a multivariate neural network. The application of the k-means clustering method for processing input data entering a neural network is described. An alternative neural model is considered within the framework of the multivariate neural network evolution.
An approach for evaluating course acceptance based on Bayesian network

In view of the difficulty in the evaluation of students' acceptance in the construction of general courses in colleges and universities, it analyses the key problems that need to be considered in the construction of courses and the difficulties encountered in the evaluation of course acceptance. It presents an approach for the course acceptance evaluation based on the Bayesian network. This approach is constructed on the set of attributes abstracted by profiling the student backgrounds. Considering the difficulty degree of the course, as well as the relationship between the attributes of the students and the difficulty degree of the course, it applies the Bayesian network to model and quantified the course acceptance. Taking the construction of big data analysis course in colleges and universities as an example, through the model verification method based on subjective belief, it is proven that the model is reasonable and sensible. Finally, it analyses the adaptability of the model in big data scenario.
Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm

In the current era of modernization, online shopping has become a habit of the people, and is closely related to freight forwarding services in charge of delivering online shopping items from the seller to the buyer. So that buyers need a fast and safe delivery service to ensure the goods sent on time to their destination. Customer satisfaction is one of the most important factors in the shipping business. However, there are several obstacles that occur in the field that cause delays in the delivery of goods. Therefore, one solution that can be used to overcome this problem is to use data mining technology to predict delivery times. Using 1,000 datasets consisting of 4 Attributes, data processing will be carried out with prediction techniques using the Linear Regression algorithm. By utilizing data when the goods are taken, when the goods are on the way, until they reach the buyer, they can produce forecasts or predictions and produce several analyzes so that in the future there will be no delivery delays. Based on the RMSE (Root Mean Square Error) value which serves to generate the level value the error of the prediction results using this method and in an RMSE value of 0.370 %. It can be concluded that using the Linear Regression algorithm is proven to be accurate in predicting delivery times.