Reviewerly/exHarmony huggingface dataset:
A Case Study on the Fusion Writing Class Using the Oral Life History Research Methodology

이 연구의 목적은 부산가톨릭대학교의 ‘뉴스타트 글쓰기’ 과목의 수업사 례를 소개하는 것이다. ‘뉴스타트 글쓰기’과목은 부산가톨릭대학교의 대학 신입생 중 국어영역 테스트에서 하위 10%에 해당하는 학생들을 대상으로 개설된 과목이며 소개하고자 하는 프로그램은 ‘친구 소개하기’프로그램이다. ‘친구 소개하기’는 수강생을 2인 1조로 조를 편성한 다음, 조원들을 서로 ‘친구’로 정하고 서로에게 인터뷰를 하는 것이다. 인터뷰를 하는 목적은 서로의 ‘친구’를 소개하기 위해서이다. 이때, 구술생애사 연구방법에서 활용되는 구술생애사 연구방법의 인터뷰기법을 활용하였다. ‘친구 소개하기’ 프로그램 시행 후, 참여자들에게 만족도를 조사하기 위한 설문을 실시하였다. 객관식 설문의 결과, ‘친구 소개하기’ 프로그램의 참여자는 대체로 이 프로그램에 흥미를 갖고 몰입하여 프로그램에 적극적으로 참여했음을 알 수 있었다. 또한, 수강생들은 ‘친구 소개하기’ 프로그램은 ‘말하기’, ‘듣기’, ‘읽기’, ‘쓰기’의 네 영역을 복합적으로 연습할 수 있는 프로그램이라고 답변하였다. 주관식 설문의 결과로는 친구와 친해질 수 있었다는 답변이 다수였다. 본 연구의 과정과 결과는 대학의 신입생 중 언어능력의 석차가 하위권인 학생들이 글쓰기에 흥미를 갖고 글을 쓸 수 있으며 ‘말하기, 듣기, 읽기, 쓰기’의 연습을 할 수 있도록 수업할 수 있는 수업모형이다.This research aims to introduce a case study of a “Newstart Writing” course at the Catholic University of Busan. The “Newstart Writing” course is offered to students who are in the lower 10% of the evaluation of the university freshman students at Busan Catholic University. The specific program examined is “Introducing a Friend”. This program involves a class working in groups of two students. The staff members are the “friends”, and they interview each other. The purpose of the interview is to introduce each other’s friends; the oral life history research method was utilized as an interview technique. After the students participated in the “Introducing a Friend” program, they were asked about their satisfaction with the course. From the results of the multiple choice questionnaire, the students were found to be interested in the program, engaged in the program actively, and many answered that, because of the program, they could become acquainted with friends. In addition, the students responded that the “Introducing a Friend” program allowed them to practice “speaking”, “listening”, “reading”, and “writing”. As a result, this study demonstrated that the program is a model that can be used to assist first-year students with a lower level of language ability in developing an interest in writing and practice speaking, listening, reading, and writing.
Towards an Adaptive Robot for Sports and Rehabilitation Coaching

The work presented in this paper aims to explore how, and to what extent, an adaptive robotic coach has the potential to provide extra motivation to adhere to long-term rehabilitation and help fill the coaching gap which occurs during repetitive solo practice in high performance sport. Adapting the behavior of a social robot to a specific user, using reinforcement learning (RL), could be a way of increasing adherence to an exercise routine in both domains. The requirements gathering phase is underway and is presented in this paper along with the rationale of using RL in this context.
Matthew Reidsma. Masked by Trust: Bias in Library Discovery. Sacramento, CA: Library Juice Press, 2019. 194p. Paper, $28.00 (ISBN 978-1-63400-083-3). LCCN 2019010995.

In his book, Masked by Trust: Bias in Library Discovery, Reidsma addresses the increasing use and misplaced trust in search engines, and how library software developers have integrated Google-like elements into discovery systems. Since libraries license these systems, users believe that they are more reliable than web, or general purpose, search engines. However, the author asserts that, since library discovery systems are created by people with biases, they are not as neutral as vendors and libraries claim. Reidsma references several important researchers throughout the text, such as Safiya Umoja Noble, Cathy O’Neil, Carole Cadwalladr, and others, who have published works regarding algorithmic bias. These, in addition to his own research into algorithms in library systems, help support the author’s assertion that library systems are not immune from bias, thereby making the case that even library systems are not neutral.
An Empirical study to determine the role of file-system in modification of hash value

In digital forensics, maintaining the integrity of digital exhibits is an essential aspect of the entire investigation and examination process, which is established using the technique of hashing. Lack of knowledge, while handling digital exhibits, might lead to unintentional alteration of computed hash, rendering the exhibit unacceptable in the court of Law. The hash value of a physical drive does not solely depend upon the data files present in it but also its file-system. Therefore, any change to the file-system might result in the change of the disk hash, even when the data files within it remain untouched. In this paper, our objective is to study the role of file-system in modification of the hash value. We examine and analyse the changes in the file-system of a NTFS formatted USB storage device, which leads to modification in its hash value when the device is plugged-in to the computer system without using write-blocker. The outcome of this research would justify the importance of write blockers while handling digital exhibits and also substantiate that the alteration in hash value of a storage device might not be an indication that data within the device has been tampered with.
India’s Personal Data Protection Bill, 2019 Needs Closer Adherence to Global Standards (Submission to Joint Committee, Parliament of India)

This is a submission to the Joint Committee on The Personal Data Protection Bill, 2019 of the Parliament of India, which has invited submissions from the public. The submission argues that a stronger Bill is needed if the Indian government is to have reasonable prospects both to protect legislation and practices on which government programs depend against unconstitutionality, and in order to maximize India’s prospects of obtaining a positive ‘adequacy assessment’ from the European Union under the GDPR. The submission also argues that there are many aspects of the Bill which fall far short of the accepted international benchmarks for a high quality data privacy law.The submission argues that areas which need improvement in the government’s Bill include:(i) Data principals, and NGOs representing them, are given too little ability to enforce the law, both in the courts, and before the DPAI and its AOs. It must be clear that data principals can enforce, and seek remedies for, any breaches of obligations by data fiduciaries, as well as for any breaches of explicit rights of data principals. Breaches of rights and obligations should be treated alike.(ii) The guarantees of independence of the DPAI and its AOs are not strong enough.(iii) State powers to exempt government agencies from the law are too strong.(iv) The DPAI has too broad a discretion to authorise new grounds of non-consensual processing of personal data.(v) Obligations of data fiduciaries to give Data Breach Notifications, to both the DPAI and to data principals, should be stated as objective criteria.(vi) The rights of data principals are too weak, in relation to both rights to withdraw consent, and access rights.(vii) Requirements of ‘harm’ before some obligations/rights apply are inappropriate. ‘Harm’ should also be better defined.(viii) The ‘outsourcing exemption’ for data on foreigners being processed in India defeats India’s aspiration to be a global leader in ethical data protection.(ix) A number of aspects of the Bill concern non-personal data, including anonymisation of personal data, deserve further consideration.(x) The Bill’s provisions concerning data localisation, including data export restrictions, give the government and the DPAI a great deal of discretionary control, with few legislative constraints, and few guarantees that discretions will be exercised to benefit the privacy of data principals. These broad discretions may cause unnecessary problems, and a more legally constrained approach may be better. For clarity, there is a need to amend s. 34(1) in relation to the number of bases for data exports.
Current Status and Issues of General Religious Education in Songsim Campus of the Catholic University of Korea

Current Status and Issues of General Religious Education in Songsim Campus of the Catholic University of Korea - Catholic University;General Religious Education;Holistic Education;Evangelization;‘Anthropology’;‘Spirituality’;‘Sharing of Love’
Update on @goifoundation @mozopenleaders program to help shape a community to curate an #oer network

Open data day was a huge success. We ran programs with three organizations in Accra. What is a community?Building these long term partnership help make
It was all joy at the launch of our #Indieweb and #OER program at the university for development studies, Navrongo campus. A Mozilla Open Leaders X initiative that seeks to empower university students to take control of their own learning.

It was all joy at the launch of our #Indieweb and #OER program at the university for development studies, Navrongo campus. A Mozilla Open Leaders X initiative that seeks
ИСПОЛЬЗОВАНИЕ ЭЛЕМЕНТОВ МУЗЫКАЛЬНОЙ ТЕРАПИИ В ОБРАЗОВАТЕЛЬНО-РЕАБИЛИТАЦИОННОЙ РАБОТЕ С ДЕТЬМИ, ИМЕЮЩИМИ ОГРАНИЧЕННЫЕ ВОЗМОЖНОСТИ ЗДОРОВЬЯ

The article displays the specific of music therapy’s elements using in educational and rehabilitation work with children with developmental disorders. Examples of exercises and activities recommended for use in the educational process and in extracurricular activities, including correctional classes, to provide specialized assistance to the child are presented. The following recommendations are described for the organization of listening to music, singing, performing musical and rhythmic movements, and playing musical instruments. The article contains information about classical music and natural sounds that help to normalize the emotional conditions of children with disabilities and satisfy their special needs.
Impact of Management Contracting on Employees’ Commitment (A Case Study In Ethiotelecom)

In this study the researcher investigates the impact of the management contracting and transformation of the ETC to ET on the commitment of the employees, the new managerial practices which influence the level of commitment of the employees negatively or positively. The study used different statistical sampling stages which include convenient sampling, judgmental sampling, stratified sampling and simple random sampling step by step, which enabled the researcher to withdraw 350 samples from the target population with the help of scientific sample determination formula. From the distributed, 343 questions were fully filled and taken as a relevant questionnaire for analysis. In analyzing the findings the researcher used descriptive statistics and multiple regressions analysis. The researcher found that the transformation of the management of ETC to ET brought a high positive effect on the affective and normative side of the employees’ commitment; and a moderate effect on the continuance commitment of the employees; which averagely found a high effect. The managerial practices which positively and significantly affect the achieved commitment include the compensation, career development, the team spirit and work cooperation, and work environment and conditions. However the relation with management and the job security are found to have negative effect. The study recommends that the organization should have to give a due attention to link the employees’ affective and normative commitment with the continuance commitment to reap the full benefit of the transformation. In addition it should have to revise the managerial practices with the problematic variables which include mainly relation with management and the job security. Keywords: Employees’ Commitment, Factors affecting commitment, Ethiopian Telecommunications Corporation, Ethio-Telecom DOI : 10.7176/EJBM/12-1-01 Publication date: January 31 st 2020
Fostering Students’ Writing Ability through Project Based Learning Approach

Abstract : This study aims to investigate the improvement of writing ability by employing project based learning strategy. It involved 32 students of tenth grade Design Communication Visual department in SMKN 1 Banyuwangi. The students were asked to write descriptive text by describing an innovative product design. The essay was analysed to measure the students’ improvement in writing ability. The research design of this study is a Classroom Action Research (CAR). The result revealed that the implementation of Project based learning significantly improved the students writing ability of descriptive text and it also proven improving aspects of writing; organization, content,  vocabulary, and grammar. Key Words : project-based learning, writing skill, descriptive text Abstrak : Penelitian ini bertujuan untuk meneliti peningkatan kemampuan menulis dengan menggunakan strategi project based learning . Penelitian melibatkan 32 siswa kelas sepuluh jurusan Desain Komunikasi Visual di SMKN 1 Banyuwangi. Siswa diminta untuk menulis teks deskriptif dengan mendiskripsikan desain inovatif. Karangan dianalisis untuk mengukur peningkatan kemampuan menulisnya. Desain penelitian ini adalah Penelitian Tindakan Kelas (PTK). Hasil penelitian menunjukkan bahwa pene-rapan project based learning secara signifikan meningkatkan kemampuan menulis teks deskriptif sis-wa dan juga terbukti meningkatkan aspek penulisan; organisasi, konten, kosa kata, dan tata bahasa. Kata kunci : pembelajaran berbasis proyek, keterampilan menulis, teks deskriptif
Implementation of Community Empowerment Program at National Narcotics Agency of Denpasar City in 2019

National Narcotics Agency of Denpasar City (BNNK) is a leading sector of the prevention and eradication of drug abuse and illegal trafficking in Denpasar, Bali.The BNNK Government Institution Performance Report (LKIP) informed the lack of achievement on the community empowerment owing for many of the BNNK's partners have not achieve independent category.The purpose of this study is to explore the implementation of the community empowerment programme carried out by the BNNK Denpasar.This study uses a qualitative approach by collecting data through in-depth interview of 11 BNNK staffs and 4 partners as well as analysis of the programme report.Informants were chosen using purposive technique.The study found that BNNK partner's institution both from government and community have conducted health education activities to support drug abuse prevention program.Activities carried out was in the form of socialization and urine tests.Those activities were funded by Denpasar Government (APBD) and APBDes.Yet, this research shows that the performance of the community empowerment programme by BNNK has not met its target due to several barriers.Those barriers are due to there were no Mayor Regulation to regulate, no written agreement with partners and no activist or person in charge who anti-drugs activists appointed by partners's organization.This research suggests that there is a need for BNNK to continue advocating for the city government and partners to make written regulations regarding the prevention of drug abuse, as well as to seek funding from other sources such as company social responsibility and village fund to cover anti-drug activities in partner's organization.
&amp;pi;-Match Network [Enigmas, Etc.]

Various puzzles, quizzes, games, humorous definitions, or mathematical that should engage the interest of readers.
CORRELATION AMONG READING INTEREST, READING HABIT, READING MOTIVATION AND READING COMPREHENSION ACHIEVEMENT OF THE ELEVENTH GRADE STUDENTS OF STATE HIGH SCHOOL 7 OF PRABUMULIH

Abstract This was concerned with the inquiry on the correlation among reading interest, reading habit, reading motivation and reading comprehension achievement of the Eleventh Grade Sudents of State High School 7 of Prabumulih. The problem of this study was to find out whether or not there are significant correlations among reading interest, reading habit, reading motivation and reading comprehension of the Eleventh Grade Sudents of State High School 7 of Prabumulih. Data collection is deliberated by using questionnaire. validity test, normality test, homogeneity test, linearity test, Data analyse used r- product moment and multiple regression. Findingshowed that there was significant correlation among reading interest, reading habit, reading motivation and reading comprehension achievement of theEleventh Grade Sudents of State High School 7 of Prabumulih. Conclusion suggests that there are significant correlation among reading interest, reading habit, reading motivation and reading comprehension achievement of the Eleventh Grade Sudents of State High School 7 of Prabumulih. Keywords: Reading Interest, Reading Habit, Reading Motivation, and Reading Comprehension Achievement
Prediksi Tingkat Kelulusan Mahasiswa Menggunakan Machine Learning dengan Teknik Deep Learning

The graduation rate of students on time at the Informatics Engineering study program STMIK IKMI Cirebon greatly affects the accreditation assessment. Graduation prediction is difficult to do, but many have done predictions using a variety of methods. Graduation prediction is needed in order to determine preventive policies for students who graduate not on time. The method used in this research is Machine learning with deep learning techniques. The data set used as many as 405 data of students who graduated on time or who were not on time. The research attributes used are the Nim attribute, the GPA value of students who have graduated and the status of graduating or not graduating. The results of this study are the level of accuracy using Machine Learning by 72.84%.
Recombined and Hybridized Speaker Recognition System (SRS)

We started this report with a description of the organs constituting the speaker recognition system (SRS), so we immediately went on to explore the types of speaker recognition and the difficulties cited at this level.Next, we carried out a review of the main approaches to combinations and hybridizations developed over the past ten years in the field of the automatic speech recognition (ASR), by carrying out an experimental and comparative study of such an approach.Thus, we summarized the advantages and disadvantages presented by these methods of extraction and classification of acoustic characteristics, and their contributions to ASR.We have developed an approach to estimate a relevant speaker verification system, using a combined extractor, and a hybrid classifier, which allowed us to build our system of recognition.
Methods of tropical optimization in multicriteria problems of raiting alternatives from pairwise comparisons

This work was supported by the Russian Foundation for Basic Reaserch (grant N18-010-00723).
Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images

We present a novel approach for person images synthesis in this paper, that can generate person images in arbitrary poses, shapes and views. Unlike existing methods just using keypoints' locations in heatmaps format, we propose to render SMPL model to UV maps, which can provide human structural information about poses and shapes. Thus, by varying the parameters of poses, shapes and camera in SMPL model, we can generate different person images with various attributions in a simple way, while in most cases we can only obtain new shapes of people by computer graphics methods. We train an end to end generative adversarial network with unlabeled data. As our SMPL parameters come from a pretrained model, we call our overall network semi- supervised. Our network keeps a global appearance during the fine-tuning stage of the target person, thus we can get a complete appearance of the target person, rather than the inaccurate appearance caused by inferencing without enough information. Experiments on Human3.6M Dataset and a self-collected dataset demonstrate the excellent effectiveness of our approach on person images synthesis for different applications.
A Light-Weight Feasible Region Detection Method in Autonomous Walking Intelligent Robots

It is crucial to ensure the reliability and safety for intelligent robots. The premise of ensuring security is how to effectively perceive the external environment and extract the feasible region. In this paper, a light-weight feasible region detection method is proposed, which extracts the rough feasible region based on three-component information in Hue, Saturation, Value (HSV) space and then perfects the feasible region through edge extraction. The experimental results show that our method can achieve effective performance in the movement of intelligent robots.
Addressing Student Girevances

This topic is focused on student grievances. Every student has its own problems and pressures at school. SDA schools should have at least a proper education on educating teachers to show that they really care and train the students to love Jesus. They need fair judgment to help students boost their self-esteem. Students must felt that somebody looks after them when they are in trouble or in difficulties. In the school, they could have at least leaders or a committee to approach when students are in need emotionally, physically, mentally, and spiritually. Like in the book of Matthew chapter 18, there are only two things God has emphasized which are love and humbleness. These are the things we should inculcate and practice in our school. There’s a large need for cooperation and openness between teachers and students in school. Whereas non-Adventists could appreciate and realized that SDA schools are not only promoting a high standard of education but also preparing the students for heaven.
Decision Support System for Housing Subsidies

The house is one of the basic human needs besides clothing and food. However, not all residents in Indonesia are able to meet these needs. Therefore, the government provides subsidized homeownership programs for the middle to lower classes. The decision to grant a subsidized house is very complicated. Therefore, this research aims to provide a decision-making system in determining the right recipient of subsidies. The method used is weighting and pairwise comparison. The results show that the decision support system of the proposal is able to provide alternative decisions on the provision of home subsidies.
Development of the Anisotropic Filtration Method for Automated Recognition of Authenticity of Banknotes by their Images

This article describes the device and control program for automated recognition of authenticity of banknotes. A technique for pre-processing the image of banknotes for improving the quality of recognition is presented. The analysis of the use of anisotropic filtration in recognition of the authenticity of banknotes has been carried out. The results of experimental studies are given.
Optimization frameworks for machine learning: Examples and case study

Abstract Mathematical optimization is at the algorithmic core of machine learning. Almost any known algorithm for solving mathematical optimization problems has been applied in machine learning and the machine learning community itself is actively designing and implementing new algorithms for specific problems. These implementations have to be made available to machine learning practitioners which is mostly accomplished by distributing them as standalone software. Successful well-engineered implementations are collected in machine learning toolboxes that provide a more uniform access to the different solvers. A disadvantage of the toolbox approach is a lack of flexibility as toolboxes only provide access to a fixed set of machine learning models that cannot be modified. This can be a problem for the typical machine learning workflow that iterates the process of modeling, solving and validating. If a model does not perform well on validation data, it needs to be modified. In most cases these modifications require a new solver for the entailed optimization problems. Optimization frameworks that combine a modeling language for specifying optimization problems with a solver are better suited to the iterative workflow since they allow to address large problem classes. Here, we provide examples of the use of optimization frameworks in machine learning. We also illustrate the use of one such framework in a case study that follows the typical machine learning workflow.