Reviewerly/exHarmony huggingface dataset:
Analytical And Economic Skills Of Athletes In The Conditions Of Digitalization

In the conditions of digitalization of modern society, the problem of forming analytical skills of students, which consist in the ability to receive, process, analyze and present information using information technologies, becomes urgent.In the context of the development of the information society, every person, regardless of the sphere of their professional activity, is faced with the need to search, receive, process, analyze, and evaluate information, and therefore teachers are faced with the task of developing analytical skills in students studying in various fields of training.The purpose of the research is to substantiate the need to use a virtual educational environment to increase the effectiveness of forming analytical skills of students in the conditions of digitalization of the educational environment.The research material was obtained on the basis of theoretical analysis and generalization of data presented in special literature (textbooks, manuals, dissertations, online resources, etc.).The results of diagnostics of analytical skills formation indicate the predominance of a low level of development of these skills among students.In this regard, we proposed the use of a virtual educational environment as a means of their formation.The study found that analytical skills are the most important type of individual skills in the information society.However, in the process of secondary general education, the skills of obtaining, processing and analyzing information are not sufficiently developed.
인명진 목사의 정치참여와 신학

This article is to analyze Rev. In Myung-jin’s political participation activities by dividing his life into 11 sections, and finally to examine the theological bases of his political participation. In the 1970s, through industrial mission, In Myung-jin advocated the human rights and interests of workers, and spent four times in prison. In the 1980s, In Myung-jin was forcibly deported by the military government and he analyzed various cases of revolution abroad, and came to think of the community movement for human change based on faith, not political revolution, as an alternative. In 1982-84, the labor and student movements in the Korean society moved ideologically to the extreme left, and In Myung-jin's ideas was criticized as reformism. In 1986, he served as a spokesman for the national movement headquarter for the Korea democratization, formed a close relation with a political leader Kim Young-sam and supported him as a candidate for the president. It became an opportunity for him to become acquainted with the conservative party in the future. Under the Kim Young-sam administration, he participated in the administrative reform process and KBS directorship while maintaining his pastor's identity. In 2006, when the conservative Han-Nara Party faced a crisis due to corruption, he took the position of chairman of the ethic committee and participated in the reforms to discipline corrupt politicians, but experienced the limitations of political structure reform. After President Park Geun-hye was impeached in 2016, he served as the chairman of the Emergency Response Committee for 97 days at the Sae-Nuri Party, by accepting the impeachment and making a public apology. He wanted to keep the constitutional order. When the party produced a presidential candidate, Rev. In resigned the position. He was heavily criticized for both progress and conservative. However, he regarded his activities as a social responsibility of the Christian ministry and made the theological argument that he should be a friend of sinners and that the church should overcome the dichotomy between the conservative and the progress by playing a salt role. It is very peculiar case in the Korean church history and political history that a pastor who had involved in the progressive social movement performed the emergency response activities on behalf of the conservative parties.
Deteksi Coronavirus Disease Pada X-Ray Dan CT-Scan Paru Menggunakan Convolutional Neural Network

In early 2020, countries in the world were shocked by the outbreak of a new virus, namely SARS-CoV-2 and the disease was named Coronavirus 2019 (Covid-19). It is known that the virus originated in Wuhan, China and was discovered at the end of December 2019. Based on data on July 18, 2020, there are more than 180 countries that have contracted Covid-19 with a total of 13,824,739 confirmed cases since December 31, 2019. Based on data on positive cases of Covid- 19 above, the average patient has several clinical symptoms, one of which is having difficulty breathing due to a large pneumonia infiltrate in the lungs. Therefore, it is necessary to implement an automatic pulmonary diagnosis system as an alternative to prevent the increasingly widespread spread of Covid-19. Covid-19 can be detected in the lungs through digital image processing of chest X-ray using the Convolutional Neural Network (CNN) algorithm. CNN is a Deep Learning method that functions to identify digital images. In this study, three different scenarios were used. This scenario aims to find the best model using hyperparameter tunnning. The results of ROC analysis and confusion matrix show that in scenarios I, II and III get 94%, 95% and 93% accuracy.
FEATURES OF THE DEVELOPMENT OF THE GENERAL EDUCATIONAL INSTITUTION IMAGE

The article deals with the scholars’ views on the development of the image of general educational institutions and defines the components and features of the development of the image of a modern general educational institution in the context of the transition of general secondary education to market relations. The author has identified the factors influencing the image of a general educational institution and outlines the directions of its development.Key words: image, image of general educational institution, image development of general educational institution.
Exemplars can Reciprocate Principal Components

This paper presents a clustering algorithm that is an extension of the Category Trees algorithm. Category Trees is a clustering method that creates tree structures that branch on category type and not feature. The development in this paper is to consider a secondary order of clustering that is not the category to which the data row belongs, but the tree, representing a single classifier, that it is eventually clustered with. Each tree branches to store subsets of other categories, but the rows in those subsets may also be related. This paper is therefore concerned with looking at that second level of clustering between the category subsets, to try to determine if there is any consistency over it. It is argued that Principal Components may be a related and reciprocal type of structure, and there is an even bigger question about the relation between exemplars and principal components, in general. The theory is demonstrated using the Portugal Forest Fires dataset as a case study. The Category Trees are then combined with other Self-Organising algorithms from the author and it is suggested that they all belong to the same family type, which is an Entropy-style of classifier. Some analysis of classifier types is also presented.
Online Determination of Credit Score (PAK) Application Functional Teachers

Determination of Teacher Credit Numbers (PAK) is proposed by the teacher, which are evaluated and evaluated by the Assessment Team. Calculation of credit numbers in PAK still uses manual methods using Microsoft Excel for inputting and Microsoft results as reports, errors in input such as typos and risk of accidental deletion of data still occur frequently. The DUPAK report that will be input into the PAK system is also still waiting for the Assessment Team to send the file to the Pelalawan Regency Education Office so that it takes more time to complete the functional teacher promotion report. To overcome this problem, the credit score calculation process is fast and accurate. A new web-based system, which includes all the elements that are valued by credit numbers. In the old system procedure and the new system it is not much different, the fundamental difference between the new system uses a web-based computer technology in data management that can shorten the data entry process and can overcome the obstacles of the old system.
Transformation Of Blood Learning Through Applications And Teaching Effectiveness Of Students In The 2019 Corona Virus Disease Pandemic Period (Covid-19)

The 2019 corona virus disease (Covid-19) outbreak which has hit the world, presents its own challenges for educational institutions, especially elementary schools. Through the Ministry of Education and Culture, the Government has prohibited educational institutions from implementing face-to-face (conventional) learning and ordered to organize online learning. The implementation of this system automatically encourages education actors to be ready for implementation, even though so far several schools have never conducted learning with an online system. Through this research, the researcher wants to analyze how effective the learning system is from the point of view of the educator. The sample of this research is teaching staff at the elementary school level. The instrument used was a questionnaire distributed online using the ms.form link. Online learning that is not properly prepared will have an impact on the effectiveness of teaching by educators, as well as the acceptance of students for online learning because of the very diverse abilities of acceptance of the material and delivery of educators.
Analisis Sentimen Terhadap Review Film Menggunakan Metode Modified Balanced Random Forest dan Mutual Information

Information exchange is currently the most happening on the internet. Information exchange can be done in many ways, such as expressing expressions on social media. One of them is reviewing a film. When someone reviews a film he will use his emotions to express their feelings, it can be positive or negative. The fast growth of the internet has made information more diverse, plentiful and unstructured. Sentiment analysis can handle this, because sentiment analysis is a classification process to understand opinions, interactions, and emotions of a document or text that is carried out automatically by a computer system. One suitable machine learning method is the Modified Balanced Random Forest. To deal with the various data, the feature selection used is Mutual Information. With these two methods, the system is able to produce an accuracy value of 79% and F1-scores value of 75%.
Academic Summarization via “Twitter” in a College EFL Context

The purpose of the current study is to investigate the effect of the limitation of 140-character in Twitter versus the free writing on the skill of the summary of senior level female students of the Department of English at Jouf University.The participants of the study consisted of 60 female students who were enrolled in writing skills course (ENGL122) the participants were distributed into two groups, each of 30 students according to their scores in TOEIC, test of English for International Communication.After that, the pre-test was administered to the two groups.Both groups had the same instructor but each group was instructed in a separate class.The study was conducted in eight sessions (experimental semester).Pre-test and post-test were administered over the study sample to evaluate the significant effect on participants' summary writing in both groups.The study results indicated that participants in both experimental and control groups achieved higher mean scores in their performance of summary writing in terms of content comparing to their mean scores in terms of coherence.Also, the results show that the performance of Twitter group in summary writing score higher results in favor of coherence compared to the control group.Therefore, new technology and social media means such as twitter contributes to solve many of the problems EFL (English as a Foreign Language) learners could face.This study aims to increase the motivation of Institutions of higher education to integrate Twitter with the educational process.
ANALISIS PADA PENYELEISAIAN ANALISIS KOMPLEKS: CURIOSITY ATTITUDE MAHASISWA

This research aims to describe and describe curiosity student. The indicators of curiosity in this study are asking about information or problems given, reading sources outside the textbook about material related to the lesson, the desire to learn, and the desire to solve problems. The subjects of this research were students of the FKIP UIR mathematics education study program for the 2019/2020 academic year which consisted of 60 people. This research was conducted from April 2020 to July 2020. The research method used was descriptive qualitative. Retrieval of data using a curiosity questionnaire instrument at the completion of the complex analysis that has been developed by the researcher. The data analysis technique used was qualitative questionnaire data analysis. The results of data analysis show that overall the curiosity is students'classified as "good" with an average questionnaire score of 75.19%, this indicates that there is curiosity of students towards solving complex analyzes, but it still needs to be improved through learning that can increase student curiosity.
ORGANIZATION OF TEACHER-STUDENT PEDAGOGICAL INTERACTION IN BLENDED LEARNING THROUGH MOBILE MESSENGERS

It is possible to ensure the high quality of educational services that would meet global standards only by informatizing education and implementing innovative information and communication technologies and creative organizational forms of learning into the educational process. The success of organizing blended learning at a higher education institution with the use of the most modern information and communication technologies is determined, first, by informatization as a primary trend in education and, second, by features of modern students as members of Generation Z or generation for whom the existence in a virtual digital environment is completely natural. The article deals with the organization of teacher-student pedagogical interaction through mobile messengers in the context of blended learning. Based on the results of an expert survey, the authors identify the benefits of organizing pedagogical interaction of the subjects of education through mobile devices, compare messengers and show the sequence of organizing pedagogical interaction between subjects of education through messengers.
Citing Othersâ€™ Works in Academic Texts: How Non-native Writers of English Across-disciplines Use Reporting Verbs and Reporting Signals in Their Research Article Introductions

This study is aimed at investigating how Indonesian writers in multidiscipline use reporting verbs (henceforth RVs) and reporting signals (henceforth RSs) in their research article introductions in English. Fifty research articles (henceforth RAs) were chosen on purpose from the recent edition of five different English language journals in Multi-disciplines published in Indonesia (i.e., 10 from Applied Linguistics, 10 from Medicine, 10 from Animal Husbandry, 10 from Engineering and Technology, and 10 from Geography). The results reveal that the most frequent groups of RV found in the RA introductions are SHOW and ARGUE groups; while the most frequent RS is Reporting Noun. It is also found that Indonesian writers in the data of this research tend to use RVs in Present and Past Tense. These findings are similar to those of previous studies where there is no important difference between English native and non-native speakers in using RVs in their RAs. This implies that Indonesian writers of the articles used in this study have used RVs in a similar way to English native speakers. This is because the RAs used in this research were taken from reputable international journals indexed by Scopus and/or Web of Science.
Practices and solutions to improve profressional quality for preschool teachers in the organization of music education activities

Teachers are one of the most important factorsin determining the quality of education. In the context of education innovation in recent years improve profressional capacity, major of general teacher and preschool teachers in particular are increasingly interested. In the article, author mentions situation of music education activities program at kindergartens and suggests some solutions to improve quality of music education to foster profressional capacity building bring to preschool education high quality human resources, meeting the requirements of education reform in the current period.
Analisis Ward and Peppard Model Pada Strategi Bisnis dan Perencanaan Strategis Sistem Informasi

Muslim Nusantara Al-Washliyah University is a private university that already has information system technology and information technology as an effort to improve the competitiveness of higher education. However, the existence of the existing information system is still not perfect so that work becomes inefficient. Therefore, this research was conducted to make strategic planning of information systems so as to increase the competitiveness of higher education institutions. The model used in strategic planning in this study is the Ward and Peppard model. The strategic plan is drawn up for a timeframe of 2 phases. The process begins with Internal and External Business Analysis through SWOT Analysis, Value Chain Analysis, PEST Analysis and testing of strategy results using the Profile Matching method which is the choice to provide an assessment of recommended information system applications. There are three aspects in conducting the assessment and evaluation, namely new aspects, develop and continue.
Avoiding the Pitfalls of Object-Relational Mapping

This chapter briefly introduces NORM (No-ORM) - a methodology of application development that avoids many of pitfals of widely accepted development patterns. Within NORM, the interactions between application code and the database are restricted by a contract that limits the number of interactions and ensures high performance. To address the consequences of impedance mismatch, an additional model, called transfer model, is mapped to both the database model and the application model, providing means for interactions in terms of high-level complex data objects.
Efficient computation of positional population counts using SIMD instructions

Summary In several fields such as statistics, machine learning, and bioinformatics, categorical variables are frequently represented as one‐hot encoded vectors. For example, given eight distinct values, we map each value to a byte where only a single bit has been set. We are motivated to quickly compute statistics over such encodings. Given a stream of k ‐bit words, we seek to compute k distinct sums corresponding to bit values at indexes 0, 1, 2, …, k − 1. If the k ‐bit words are one‐hot encoded then the sums correspond to a frequency histogram. This multiple‐sum problem is a generalization of the population‐count problem where we seek the sum of all bit values. Accordingly, we refer to the multiple‐sum problem as a positional population‐count . Using SIMD (Single Instruction, Multiple Data) instructions from recent Intel processors, we describe algorithms for computing the 16‐bit position population count using less than half of a CPU cycle per 16‐bit word. Our best approach uses up to 400 times fewer instructions and is up to 50 times faster than baseline code using only regular (non‐SIMD) instructions, for sufficiently large inputs.
Copyright Licence as a Legal Relationship

This chapter identifies what kind of legal relationship a copyright licence is. It begins by explaining what a ‘licence’ is, because the reliability of the doctrine of implied licence depends on the coherence of the concept of licence. The most widely used definition of a licence (derived from land law) as that which makes an action lawful without which the action would be unlawful reflects the universality of a licence, but it sheds little light on the constituents of a licence. The chapter therefore, turns to Hohfeldian analytics to identify the constituents of a licence that hold good regardless of the diversity of circumstances in which licences arise. The identification of the constituents of a licence helps in understanding the kind of transaction that a licence is. It helps to demonstrate that a licence is not in itself a contract, although a licence can be partly or wholly the consideration that moves from one party to another. This facilitates the distinction between a bare licence and a contractual licence. The distinction is important because a licence within a contract must be assessed as part of the bargain, and. therefore, different considerations go into implying a licence into a contract than if one were to imply a bare licence.
The Impact of Remittances on the Skipped Generation Households in Vietnam

Online Learning and Modular Learning Modalities are being utilized by the Department of Education to continue the learning process during COVID -19 pandemic. The study has employed Mixed method to determine the problems and challenges of both public and private school teachers in utilizing online and modular learning modality. Interviews revealed that each sector has a problem in internet connectivity. Specifically, public school teachers are being challenged by the scarce resources of the students and unresponsive parents. Private school teachers are being challenged by the lack of training on the different online platforms for online teaching and learning process and assessment of learning this new normal. U- Test revealed that the challenges experienced by public and private school teachers in delivering distance learning are essentially the same. Moreover, it can be said that the type of school where a teacher works has no bearing with the challenges that he or she may encounter.
Meggan Press. Get the Job: Academic Library Hiring for the New Librarian. Chicago, IL: Association of College and Research Libraries, 2020. 158p. Paper, $44.00 (ISBN 978-0-8389-4840-8).

In Get the Job: Academic Library Hiring for the New Librarian , Meggan Press, the Undergraduate Education Librarian at Indiana University–Bloomington, has prepared a guidebook to the hiring process of the “strange and wonderful beast” (1) called academia. This slim volume covers everything from tips for deciding whether graduate school in library science is right for you to dealing with imposter syndrome as a new academic librarian. In between, Press, part Dante’s Virgil and part Emily Post, both demystifies the peculiar traditions and rules that govern the academic job search and instructs readers in the etiquette that the system expects.