Reviewerly/exHarmony huggingface dataset:
Analisis Faktor Kesulitan Guru Dalam Memanfaatkan Komputer Pada Kegiatan Pembelajaran Di SDN Se Rayon I Kecamatan Kubu Babussalam Kabupaten Rokan Hilir

This study aims to determine and describe the factors causing the difficulties of teachers in utilizing computers in learning activities in SDN in Rayon I, Kubu Babussalam District, Rokan Hilir Regency. The problems that occur indicate that there are still many teachers who have not comprehensively met the professional indicators of the teacher. In particular indicators use information and communication technology for self-development. The benefits of this research for teachers are to motivate teachers to be able to use computers in learning activities so that students are more active and creative in following the learning process. This research was conducted in several elementary schools in Rayon I, Kubu Babussalam Subdistrict, Rokan Hilir Regency consisting of SDN 003 Sungai Pinang, SDN 009 Jojol, SDN 005 Rantau Panjang Kiri, SDN 004 Teluk Nilap, and SDN 011 Rantau Panjang Kiri. The population in this study was 77 people. This type of research is a survey research using quantitative descriptive methods. The results of the study of the difficulties of teachers in utilizing computers in learning activities in elementary schools in Rayon I, Kubu Babussalam Subdistrict, Rokan Hilir Regency with the percentage of indicators are as follows. 11.43% is caused by school facilities and infrastructure, 10.10% is caused by the absence of computer training, 10.07% is caused by difficulty understanding computers, 10.02% is caused by not understanding terms in computers, and 9.70% is caused by age factor. So the factors that greatly affect the difficulty of teachers in using computers in learning activities in elementary schools in Rayon I, Kubu Babussalam District, Rokan Hilir Regency are school facilities and infrastructure which are part of external factors with a percentage of 11.43%.Key Words: Teachers, Dificulty Factors in Utilizing Computers
DIGITAL IMAGE WATERMARKING BASED ON SVD AND LSB TECHNIQUES

AbstractA new method of digital image watermarking is proposed in this paper for the protection of digital imagecontents. This proposed method presents a method which is based on combination of frequency domain techniques,least significant bit and singular value decomposition. Three different techniques of digital image processing arecombined to provide better quality of watermarked image obtained after insertion of watermark.
COMPREHENSIVE STUDY OF IMAGE COMPRESSION TECHNIQUES

ABSTRACTThe development and demand of multimedia product grows increasingly fast in the recent years , results in lack ofsufficient memory spaces and transmission bandwidth. Image Compression is required for transmitting and storinglarge amount of information for digital Image. It is the technique of reducing the image size without degrading thequality of the image. This paper presents an overview of Image compression, need of compression and variousImage compression techniques. The focus of this paper is based on review of Lossless image compressiontechniques and their subsequent variations.
Script-Independent Handwritten Text line Segmentation Using Directional 2D Filters

Text line segmentation is an important stage of the optical character recognition (OCR) algorithms. To analyze and recognize a document, text lines have to be segmented accurately. Text line segmentation of handwritten documents is more difficult than that of machine-printed ones. Curved and multi-skewed text lines, overlapping text lines, and very small text lines are the main challenges. Most of the proposed approaches did not consider local features of text lines in a document image. In our proposed method, both global and local features are considered. The proposed method is based on using directional 2D anisotropic filters. The parameters of our method are tuned based on a main global parameter which is computed for each document, separately. Hence, the proposed method is a dataset-independent method. A document is divided into several blocks for which some local characteristics are calculated. In each block, text regions are detected by using local characteristics such as the block skew. In order to estimate the skew of text regions in a block, a novel text block skew estimation algorithm is proposed in this paper. Experimental results show that the proposed method outperforms all the state-of-the-art methods on three standard datasets. Our final F-Measure are 0.54%, 0.03%, and 0.02% greater than the winner of ICDAR2013 text line segmentation contests on ICDAR2013, ICDAR09, and HIT-MW datasets, respectively. The experiments proved that the proposed method can accurately segment text lines of complicated handwritings.
Introduction to data.table

We already briefly introduced the data.table package. This package is the heart of this chapter, which covers the basics of accessing, editing, and manipulating data under the broad term data management. Although not glamorous, data management is a critical first step to data visualization or analysis. Furthermore, the majority of time on a particular analysis project may come from the data management. For example, running a linear model in R can take one line of code, once the data is clean and in the format that the lm() function in R expects. Data management can be challenging, because raw data come in all types, shapes, and formats; missing data is common; and you may also have to combine or merge separate data sources. In this chapter, we use the data.table [9] and extraoperators [35] R packages:
CORRELATION OF TOLERANCE FOR AMBIGUITY WITH BURNOUT IN NURSING PROFESSION

The paper analyzes the problem of burnout in nursing profession. The situation of ambiguity is considered as one of the situations that nurses face in their professional activities. The correlation of tolerance for ambiguity as a multidimensional psychological construct and personal decision-making factors with professional burnout and its indicators is analyzed. It was found that a negative attitude to situations of ambiguity contributes to the development of emotional exhaustion, and the inability to cope with ambiguity due to the most complete orientation in a situation can accelerate development and increase the intensity of all aspects of professional burnout.
문화냉전기 국가 프로파간다와 공연예술: 1960-70년대 리틀엔젤스 활동의 국제정치학

Since its establishment the Little Angels, children’s performing arts troupe of Unification Church, South Korea has been considered as the representative cultural ambassador of South Korea. On a global level, the cute and smiling children of the troupe became a successful means of propaganda, promoting South Korea as a peace-loving nation with culture and arts whose image had been dominated by war, poverty, international aid, and orphans. However, despite the fame, their historical and cultural meanings have not been properly examined. By examining the construction and activities of the Little Angels in the context of cold war, this paper explores the process of nationalist reconstruction of traditional performing arts and the role of the state in the process.This political and ideological purpose resulted in creating a specific performance style and repertoires for overseas performance manifested in its main repertoire including traditional folk dances like the fan dance, gayageum byeongchang (vocal with gayageum [12-string zither] accompaniment), nongak (farmers’ band music), and a chorus of traditional and modern songs. To fulfill the nationalistic construction of traditional performing arts within the context of cultural cold war, specific repertoires, specific staging styles based on cold war orientalism have (re)produced.Within the international context of cold war, competitions over two Koreas, nationalistic construction of traditional culture, the Little Angles have performed the role of propaganda of cultural cold war, successful reconstruction and development of anti-communist Korea and Korean nationalism. By exploring the socio-historical and political contexts of the performing arts in South Korea during the 1960s-70s, the overseas performance history of the Little Angels, their staged performance style, and repertoire, and the members, this paper considers this non-governmental children’s performing arts troupe of Unification Church at the intersection of the state, religious mission, performing arts, and a certain historical period; the ways in which traditional performing arts were selected, supported, and produced by the state as means of propaganda; and how these together defined the direction of Korean performing arts in general.
An Approach That Stimulates Architectural Thinking during Requirements Elicitation: An Empirical Evaluation

In many global outsourcing projects, the software requirement specifications (SRS) are often orchestrated by requirements analysts who have sufficient business knowledge but are not equipped to ask the kind of questions that are needed to unearth architecturally relevant information from the customer. Often, the resultant SRS therefore lacks some critical details needed by software architects to make informed architectural decisions. To remedy this, the software architects either make assumptions or conduct additional stakeholder interviews resulting in expensive refactoring efforts and project delays. Using an empirical approach, we have designed an approach of using architectural knowledge that can serve as a communication medium between requirements analyst and software architects. In this paper, we present a detailed empirical evaluation of our proposed approach, with practitioners from real-world organizations. Using two studies, we found that in the experience of the participating practitioners, the approach is relevant, easy to use and effective.
Evaluation of the Implementation of the Adiwiyata Program in Riau Islands Province

The objective of this research was to evaluate the implementation of the adiwiyata program in Riau Islands Province. This evaluation research used a qualitative method with the CIPP evaluation model. The data in this research was got through observation, in-depth interviews, and documentation studies. Data analysis concluded that: (1) adiwiyata program policies had met standards, (2) adiwiyata program implementation plans did not meet standards, (3) adiwiyata program implementation did not meet standards, and (4) adiwiyata program results were not optimal. The recommendation given is that the implementation of the adiwiyata program in Riau Islands Province runs well, the school is consistent with the predicate adiwiyata school and the assessment of the adiwiyata school is carried out objectively.
FRAUDULENT REVIEWS DETECTION USING MACHINE LEARNING ALGORITHM

The development of Ecommerce is one of the rapid growth areas in the internet era. Reviews are playing a significant role in online shopping and likely to have a profound effect on success or survival. The reviewers actions are collected to define the review based on the interpretation of its review material. Nowadays, people are very much interested in reading reviews before purchasing. Here, we commence on the phony reviews that use the method of decision tree and knowledge gain and to detect spam ratings. The classification criteria of opinion spammer detection are based on the characteristics and recognition of non-genuine reviews dependent on items information. Let us begin with the crept dataset to assess the highlights of survey information, which shows that the examples of phony reviews for products are indistinguishable in ordinary circumstances. We separate the product review records into constituent or distinct points, and an afterward recognize non-genuine reviews. In this study, reviews for a particular product were extracted from the internet, and the reviews of a few different reviewers data were gotten to group the phony reviews analysts utilizing choices like Tree Classifier and Information Gain and Random forest, random forest classifier. This further helps in the decision tree classifier to make the number of trees to identify the more relevant and genuine reviews. These techniques are helping in the decision that reviews are genuine or not.
CONCEPTUAL MODELING OF TIME: FROM «ANTHROPOLOGIZATION» TO «ETHIZATION»

Relevance of the research.Recent decades aremarked witha significant increaseoftheimportanceof the human factorforglobal processes andwiththe accelerationofthe coursof history. A study of the temporal and historicalbasesof humanbecomingin the appropriate theoretical and methodological context will allowusto assess the prospects of this process, as well as to prevent consequences that are detrimental to man andtothe world.The mentionedcontextpresupposesmore likelythe anthropological paradigm of time,whichsettings,contraryto the ontological tradition of comprehension of time,create a possibilitytounderstandthe problems of the structure of human activity and the meaning of history in a more adequate form.The purposeof the studyis to comprehend the results of conceptual modeling of temporal problems in the framesof the anthropological paradigm of time at its «anthropological» and «ethical» stages.Research methodology.The methodological foundations of the study were: 1) conceptual modeling (two-stage) – in thedevelopmentof the concept of anthropic time andofthe historical process («anthropological» stage), as well as in the reconstruction of this concept in an ethical context («ethical stage»); 2) general parametric theory of systems of A. I. Uyomov – to represent the anthropic time as a system in general; 3) synergetics–in the understanding of the anthropic time as a complex self-organizing system, as well asofthe interaction of external and internal determinants of temporal-historicalbecoming.The results of the research.The conceptual modeling of time at the «anthropological» stageproducedthe concept oftheanthropic time and the historical process, in which the concept oftheanthropic time is explicated,theanthropic time is understood as a system in general and as a complex self-organizing system in particular, and the interaction between the immanent foundation oftheanthropic time, free will, and external determinants – attractors of history – is clarified.The «ethical» stage oftheconceptual modeling of timegave as a resultthe understanding of both the internal mover and the externalgoal principlesoftemporal-historical becomingthrough the prism of the categories of good and evil. The possibility of using theofferedoptions of modeling of time in the interpretation of the fundamental bases and prospects of human history is shown.
Survey on Smart Healthcare using Blockchain

Blockchain is a beginning to the change in various industries including health care, data analysis,real estate, financial services, supply chain management, transport and more. Where the Blockchain system isdecentralized and records cannot be modified. This emerging technology provides more secure and efficient waysfor storing of data. In this article we present how blockchain is implemented in healthcare domain using smartcontract to secure and manage Electronic health records efficiently. The integration of Smart healthcare andBlockchainhas significant impacts on the improvement of health and medical services around the world. This willmake the medical system more efficient by decentralization, faster access to the information. In this paper wediscussed about the different aspects of blockchain in Healthcare by comparing existing models.
초보 한국어 교사가 수업에서 겪는 문제의 인식과 해결 과정-교사일기를 중심으로-

The purpose of this study is to recognize the difficulties and solve the difficulties through the activities taught by the novice teachers based on the teacher diaries. The difficulties experienced by the novice Korean teachers were divided into three parts according to critical incidents : learner, teacher, and contents problem. The teacher went through the following process of solving these difficulties. First, in order to overcome the problem of learner, the teacher personally tried counseling, development of class activity, change of class management method, and externally talked with fellow teacher or expert or found solution in internet community. Second, to overcome teacher-related problems, reflection, compaction, utilization of prior knowledge and experience, and external solutions were also tried. Third, the problems related to the contents of the curriculum revealed the hope of development rather than solving. The problem that the novice Korean teacher recognizes has often left unsolved rather than solved. This result is meaningful because it is looking at the process of trying to solve problems by recognizing and trying to solve them. (Seoul National University)
Information and Communications Technology Use of Hungarian English Majors: A Large-Scale Questionnaire Study

The purpose of this study is to discover the dimensions of ICT device use of Hungarian English majors by identifying constructs and establishing links between the constructs to provide deeper understanding of what factors ensure skilful ICT device use for recreational and learning purposes. The data collection method was a piloted and validated questionnaire of 15 constructs involving 268 Hungarian university students from 6 institutions. The study confirmed that Hungarian English majors are acceptive of ICT use and devices are easily accessible for them. Statistically significant correlations were found between each scale informants rated from two perspectives: free time and educational use of devices, but it was found that the needs for developing in ICT skills are rather triggered by recreational than educational purposes. Correlations between digital competence scales and all other scales of the questionnaire suggest that digital competences are linked with all aspects of device use. The novelty of this study is that it establishes and links elements of ICT use such as acceptance, availability, reasons and willingness of using ICT devices with digital competences to confirm that the dimensions of meaningful ICT use cannot directly be predicted from ownership.
The Application of Case Teaching Method in Environmental Ethics Teaching

&lt;p&gt;Environmental ethics education has the dual role of guiding practice and imparting theoretical knowledge and can fully embody the basic characteristics of ecological teaching in teaching activities. Based on the practice orientation of environmental ethics education, this paper focuses on the discussion of teaching cases in environmental ethics teaching. Case analysis, discussion and case summary evaluation are expected to improve the teaching effect. &lt;/p&gt;
Towards a Standardisation of Computational Models of Affect: OWL and Machine Learning

Computational models of affect (CMAS), in their most common form, cannot take into account the qualitative (phenomenal) dimension of affect itself. Their expressivity can be extended, thus promoting the much sought-after standardization in the most theory-neutral way, using OWL (Web Ontology Language) and machine learning techniques. OWL is an expressive formal language, as well as an established open standard, and can be used to describe the models, possibly including qualitative entities at the fundamental level. The supervised machine learning techniques allow the direct learning and application of models described as OWL ontologies. Thanks to human supervision (e.g. using datasets labeled by a human user), they can take into account the qualitative dimension of affect when the models warrant it. To further promote the aforementioned standardization, the task of classifying texts according to their affective content (known in computer science as sentiment analysis) can be recommended as a way to assess the performance of the models. It is a multifaceted task, in which usually divergent fields as philosophy, psychology and computer science meet. Moreover, since it is a very current task in computer science, there are many resources available to facilitate the development of a standard benchmark for CMAS.
The past, present and future of scalable computing technologies trends and paradigms: A survey

The past era saw a significant boost in computing, storage, and networking technologies which caused the development of massive-scale adaptive applications in engineering and science. These complex, dynamic and heterogeneous applications are combined with correspondingly heterogeneous and complex distributed and parallel computing systems caused the improvement and implementation of efficient computational infrastructures which allow execution, programming and runtime management support for these massive-scale adaptive implementations. In this paper different types of computing technologies are described. In fact, all these technologies have contributed in the development of computing. Determining one specific technology as the best among others is very difficult, since every day is an evolution in computing and every single paves a way for a new technology. This paper presents a comprehensive review for the past, present and future of scalable computing technologies trends and paradigms. Firstly, high performance computing technologies are presented. This paper presents a new classification of high performance computing into Supercomputing and Quantum Computing where Supercomputing is classified into petascale, exascale and zettascale computing. The paper discusses the main challenges in exascale computing and quantum computing and a comparison between classical supercomputing and quantum computing is presented. Secondly, distributed computing technologies specifically Peer-to-Peer Computing, Cluster Computing, Grid Computing and Cloud Computing are presented. The paper discusses their advantages and disadvantages and a comparison between them is also presented. Thirdly, post Cloud Computing Paradigms mainly dew, mist, edge and fog computing are presented. Fourthly, Jungle computing is presented. Finally, the paper highlights that exascale and quantum computing are the most recent topic to effectively achieve high performance computing, both technologies have their advantages and disadvantages so it is recommended to implement a hybrid system that uses both technologies so quantum computing can be used as an accelerators to the existing high performance computing systems. Supercomputers have a very high cost so distributed computing systems that provide high performance along with versatility and cost efficiencies are developed. Understanding and utilizing post cloud computing technologies correctly with cloud computing can help in IOT solutions.
Re-design of the Machine Translation Training Tool (MT3).

We believe that machine translation (MT) must be introduced to translation students as part of their training in preparation for their professional life. In this paper, we present a new version of the tool called MT3, which builds and extends on a joint effort undertaken by the Faculty of Languages of the University of Cordoba and the Faculty of Translation and Interpreting of the University of Geneva to develop an open-source web platform to teach MT to translation students. We also report on a pilot experiment with the goal of testing the viability of using MT3 in an MT course. The pilot allows us to identify areas for improvement and collect feedback from students on the tool's usability.
Vireo-TNO @ TRecviD 2014 zero-shot event detection and recounting

0-Shot System - The simple exact matching performs the best - The quality of concepts selected to represent an event is more important than quantity - It's an open problem of how to harness the ontology-based mapping MER System - In key evidence localization, we emphasize the event relevancy first, then the hot concepts - We recommend three shots as key evidences and each in about 5 seconds. © 2020 2014 TREC Video Retrieval Evaluation. All rights reserved.