Reviewerly/exHarmony huggingface dataset:
Development of Intelligent Tutor for Enhancing Think-Pair-Share in Learning of Light Emitting Diode Television Troubleshooting

The study was designed to develop an Intelligent Tutor (IT) for enhancing Think-Pair-Share (TPS) in learning of Light Emitting Diode Television (LED TV) troubleshooting using Research and Development (R & D) method. Three research questions and one hypothesis tested at .05 level of significance guided the study which was carried out in Northwest, Nigeria involving a population of 109 subjects. The instrument for data collection was Intelligent Tutor Assessment Questionnaire (ITAQ). Hypertext Mark-up Language (HTML) and Cascading Style Sheets (CSS) were used for the user interface design, while Python (Django framework) was used for the logic and database in the development of the IT. Findings that emerged revealed that the appropriate contents of a four-model IT which are Domain Model involving the principles of operation and how to troubleshoot Power, Picture and Sound Subsystems in LED TV as well as the Student, Tutoring and User Interface Models for enhancing TPS learning can be developed into a complete IT package. It was therefore recommended based on this finding that: (1) The National Board for Technical Education should review the curriculum for Radio Television and Electronic Work to include the appropriate contents for LED TV troubleshooting that were developed and validated in the present study; and (2) An intervention in form of teacher development programme should be initiated by the States Science and Technical Education Boards in North-West, Nigeria to train existing electronic teachers on the use of IT for enhancing TPS in learning of LED TV troubleshooting.
ONE TIME PAD ENCRYPTION TECHNIQUE IN CRYPTOGRAPHY

Cloud Computing is a term that is used for the provision of host services over the Internet The secure data storage on cloud environments is the primary requirement of such applications, where data are being transferred or transmitted between the servers and their users. The existing paper consists of a text steganography approach for hiding loaded secret English text file in a cover English text file which is less confidential. In this paper we are using oneof the most effective technique for secure communicating is cryptography in cloud. Cryptography involves the creation of codes written or generated that allow secrecy of information. To ensure security of data in cloud computing, this paper presents an encryption technique called One Time Pad(OTP).The one time pad (OTP) is an uncrack able encryption technique,but it requires the use of a shared key of the same size as, or longer than, the message sent. The proposed system offers information theoretic security, data hiding capacity.
WORKSHOP PENGEMBANGAN PERANGKAT PEMBELAJARAN BERBASIS MODEL PEMBELAJARAN ABAD 21 DAN PENYUSUNAN LKPD BAGI GURU MATEMATIKA

Workshop on the development of learning tools based on 21st Century learning models is motivated by the desire of mathematic teachers in the Ciawi Region of Tasikmalaya Regency to innovate in learning. This workshop discussed so that mathematics teachers in the Ciawi Region of Tasikmalaya Regency get a clear understanding of learning tools that are appropriate for the 21st Century. Community service methods use training methods that are held for 3 days, two days face to face and one day of independent assignment. Service starts from the planning of the theme, then begins with the evaluation of the activities. Through the dedication activities that were concluded the workshop participants discussed more about the material of the 21st Century learning tools and then seen from the responses the participants showed positively in the workshop activities of the development of the 21st Century learning tools.
Financial Inclusion and Cluster-Based Industrialization

There are two related lines of arguments which forms twin objectives for this study. The first is to assess how financial inclusion may spur industrilization in Africa,Â  and the second is to assess how industrialization may prosper where there is clustering of SMEs/industrial activities in Africa. The study employs a quantitative approach where regression analysis is used employing secondary data from the World Bank Development Indicators for Seven African economies. The study found that clustering promotes industrial growth. It has also found lack of evidence for the role of financial inclusion in promoting industrial growth. It also did not find statistical evidence for joint effects of these factors on industrialization. It calls for policy dressing and specific researches in the areas of clustering properties and financial inclusion and their effects on industrial growth.Â Key words: financial inclusion, clustering, industrialization, industrial growth
MODEL JARINGAN SYARAF TIRUAN MEMPREDIKSI EKSPOR MINYAK SAWIT MENURUT NEGARA TUJUAN UTAMA

This study aims to find the best architectural model in predicting palm oil exports according to the main destination countries. The role of the agricultural sector in the national economy is very important and strategic. Oil Palm is an industrial plant producing cooking oil, industrial oil, and bio-diesel fuel. Indonesia is the largest producer and exporter of palm oil in the world. In addition to the increasingly open export opportunities, the domestic market for palm oil and palm kernel oil is still quite large. Prediction is a process for estimating how many needs in the future. State revenues in the export sector must be able to be predicted to help set the state's financial regulations specifically on palm oil exports. By using Artificial Neural Networks and backpropagation algorithms, architectural models will be sought to predict the amount of palm oil exports according to the main destination country. This study uses 12 input variables, and 1 hidden layer. Using 4 architectural models to test the data to be used for prediction, namely models 12-4-1, 12-8-1, 12-16-1 and 12-32-1. The results of the best architectural model are architectural models 12-16-1 with 100% accuracy accuracy.
Pre-service teachers' experiences of early-grade classroom practicum and its meaning

연구목적: 본 연구는 초등학교 2학년 교육실습에 참여한 예비 초등교사들의 저학년 교육실습 경험과 그 의미를 알아보는 데 있다. 방법: 교육대학교 3학년 2학기에 재학 중인 예비 초등교사 3명에 대한 집단면담, 질문지, 교육실습록, 교육실습 소감문, 참여관찰, 연구자의 반성적 저널 등의 자료를 수집하고 질적으로 분석하였다. 결과: 예비교사들의 경험을 크게 세 가지 범주로 구분할 수 있었다. 첫째로 예비교사들은 저학년 학습자의 특성 등 저학년 아동에 대한 이해가 높아졌고, 둘째로 예비교사들은 경험 중심 등 저학년 교수-학습방법에 대하여 보다 심도 있는 깨달음을 얻었다. 셋째로, 예비교사들은 저학년 교사됨에 대한 고민을 보다 구체적으로 하게 되었다. 결론: 본 연구는 예비 초등교사들의 경험을 바탕으로 저학년 아동에 대한 생각과 저학년 아동을 지도할 때 고려해야 할 교수-학습방법, 저학년 교사됨에 대하여 알아보았다는 데 의의가 있다.Objectives: This phenomenology research explored how pre-service teachers participating in the second-grade classroom practicum experienced and interpreted its meaning. Methods: To do so, data from focus group interviews, questionnaires, journals, reflections, and observations of three pre-service teachers in their second semester of junior year along with the researchers’ reflective journals were collected and analyzed. Results: The experiences of the pre-service teachers were classified into three categories. The pre-service teachers gained a deeper understanding of characteristics of early-grade children, effective teaching practices for early-grade students, and becoming an early-grade teacher as a professional. Conclusions: Examining the pre-service teachers’ practicum experience in this research enabled us to uncover how the teachers interpret their experience and its meaning about young learners, teaching practices, and professionalism.
AI Assisted Radiologists See Improved Performance in Detection of Breast Cancer

An artificial intelligence algorithm demonstrated better diagnostic performance in breast cancer detection compared to radiologists, who also saw improved performance when aided by the technology.
Multiple Monotonic Behavior Chains for Implicit Feedback Data

In the past few decades, and feedback information in recommendation systems have been researched as two separate areas. But, in the real world, user behaviors contain a series of explicit and implicit information, ranging from clicks, collections to purchases and ratings. It is still an unsolved problem of how to effectively use abundant implicit signals to help predict more accurate explicit signals and thus generate more appropriate recommendations. Therefore, we propose a multiple monotonic behavior chains model (MC-Rec), which can simulate the full range of interactions. The Adaboost algorithm is used to set the weights of each behavior chain, and the monotony of the behavior chain is lucubrated. The experimental results are evaluated in three real data sets, and demonstrate that MC-Rec model can effectively improve the prediction accuracy compared with the state-of-the-art baselines.
Exploring Exploration in Recommender Systems: Where? How Much? For Whom?

Recommender systems focus on automatically surfacing suitable items for users from digital collections that are too large for the user to oversee themselves. A considerable body of work exists on surfacing items that match what a user liked in the past; this way, the recommender system will exploit its knowledge of a user's comfort zone. However, application scenarios exist in which it is explicitly important to offer the user opportunities to explore items beyond their existing comfort zones. In such cases, the recommender should include items for which there is less existing evidence that the user will like them. This calls for the recommender to explore to what extent a user would be tolerant to exploration. In this thesis, we consider that different users will likely have different preferences with respect to item exploration. We propose personalized item filtering techniques for this, modeled under a multi-armed bandit framework, that consider (1) how and where exploration vs. exploitation items should be distributed in a result overview and (2) how adventurous exploration items can be, considering a user's general willingness to explore and existing familiarity with item categories in the collection. We present the results of a survey and an online quantitative experiment with 43 users of Muziekweb, a public music library that encourages taste broadening in the Netherlands, demonstrating the effectiveness of both our proposed filtering techniques that aim for personalized exploration.
Социодинамика субъектности в процессе сетевого манипулирования

In article the teсhnosoсial complex of network influence in the system of mass communications reveals. In the context of use of communication technologies of innovative character dynamics of change of social subjectivity and mechanisms of manipulative influence comes to light.
BIG DATA VISUALISERING

Presenting data in graphical forms is important in many different industries in order tounderstand information asset from data that is being collected. The amount of data is growingfast and brings ...
Review of Steganography Algorithms

The ability to hide plays a vital role in effective secret communication. This is achieved by hiding information (Steganography). The science of concealing information is the science of concealing information in other information so that it appears that hidden information is not something to the human eye. There are many ways to hide information within an image, audio / video, document, etc. But hiding information in pictures has its own characteristics and is the most popular among others. This paper provides a review of several methods, such as image field and conversion field algorithms available to implement image information hiding (Steganography). In this paper, high-capacity information hidings schemes are analyzed for different file formats. Secret communication is done before Password encryption to protect information. The intended recipient will decrypt the information using this password.
Application T?L technology lectures on the discipline Biostatistics on Sampling method

The article highlights the practical application relevant TBL technology lectures on the discipline of biostatistics on Sampling method. This method helps students to interact and develop skills in a teamwork.
LibGuides: Web of Science - SINTA integration: English

A one stop shop to integrate your SINTA ID with Web of Science data through the Publons researcher profile.
Research on the Establishment of a System for Monitoring Service Quality of the Aged Caring Institutions

In the establishment of the aged caring service system, monitoring the service of the aged caring institutions is an important means to improve the service quality and protect the basic rights and interests of the elderly. Based on the three-dimensional theory of quality evaluation, this paper adopts the Rank-Sum-Ratio (RSR) method to construct a preliminary item pool, improves the item pool through the Delphi method, and builds a monitoring index system on the basis of “public basis plus professional norms”, so as to provide suggestions for policy making related to the establishment of a standard system of monitoring service quality and the improvement of service of nursing institutions.
How neural machine translation might change the work of professional translators

The development of neural machine translation systems since 2016 has ushered in a new period of human-machine interaction in the field of translation. Claims have been made that machine translation has reached parity with fully human translation. Such assertions are easily questioned, but the fundamental question remains: What impact will high-quality machine translation have on the work of professional translators? For some, translators will gradually be reduced to the role of posteditors, working for the improvement of the machine-translation systems rather than for active communication. For others, translators will be called upon to do only the tasks that machines cannot do: text adaptation, rewriting, crosscultural consultancy, and the like; that is, they will be doing things other than translation. In between those extremes, we must identify places where the work of human translators should be needed, the kinds of skills that they should need, and most importantly, the areas in which whole societies might benefit from free online machine translation.
Encoding Content-Based Similarity in IPFS Pointer Names

The InterPlanetary File System (IPFS) is a distributed file system in a peer-to-peer network that manages various content. The exchange of content in IPFS employs a pointer that is calculated by SHA-256, which is a cryptographic hash function. This pointer is unique, but it is far from easy for a human to handle the content as in an existing file system. In this paper, we propose a method to create a hash that represents the similarity of content. Using this approach, a human should be able to recognize content in an IPFS as in an existing file system, which will improve usability.
Signature in Counterparts, a Formal Treatment

The paper develops a logical understanding of processes for of legal contracts, motivated by applications to legal recognition of smart contracts on blockchain platforms. A number of axioms and rules of inference are developed that can be used to justify a meeting of the minds precondition for contract formation from the fact that certain content has been signed. In addition to an offer and acceptance process, the paper considers signature in counterparts, a legal process that permits a contract between two or more parties to be brought into force by having the parties independently (possibly, remotely) sign different copies of the contract, rather than placing their signatures on a common copy at a physical meeting. It is argued that a satisfactory account of in counterparts benefits from a logic with syntactic self-reference. The axioms used are supported by a formal semantics, and a number of further properties of the logic are investigated. In particular, it is shown that the logic implies that when a contract has been signed, the parties do not just agree, but are in mutual agreement (a common-knowledge-like notion) about the terms of the contract.
Public Key and Leveled Attributes Access Policy Oriented Fully Homomorphic Encryption Scheme

Fully homomorphic encryption (FHE) has been considered as significant transition of cryptography, a difficult aim which could answer the world's obstacles of security and trust. FHE is also considered among the golden solutions for achieving security in cloud computation, MPC, data banks, etc. FHE was conceptualised in 1978, but it took approximately three decades to invent the first credible construction of FHE. The research in this area erupted after Craig Gentry's construction of FHE in 2009. Considerable developments have been made in getting more practical and efficient solutions. In this paper, we have gathered the state of art information in this field through surveying various schemes. We proposed detailed construction of our fully homomorphic system. The security and correctness analysis for the proposed procedure along with the experimental results are also given in the paper.
Methodological Support for Knowledge Based Engineering Application Development: Improving Traceability of Knowledge into Application Code

Knowledge Based Engineering (KBE) applications mainly reduce the lead-time in engineering design projects by translating product and process knowledge into application code. The problem with KBE applications is that they produce an output from some input, but it is unclear how it came to its conclusions. There are existing KBE methodologies such as MOKA that proposes a few models to help understand what the KBE application is doing, but these models are disconnected from the application code: there is no traceability of knowledge onto application code. Moreover, MOKA requires specialists which are often not available; this hinder adoption of the methodology. Therefore , this thesis proposes a new ontology that explains how to structure knowledge without specialists, and defines how that knowledge is connected to application code. Moreover, a platform has been developed which incorporates the new ontology, and enables users to structure knowledge and connect it to code.
The Correlation between Students’Motivation and Their Achievment in Speaking (The Correlation Research at ThirdGrade of SMP 2 Daar el-Qolam Tangerang)”

Ojah Darojatul Aliah. 132301490, 2013, “The Correlation between Students’Motivation and Their Achievment in Speaking (The Correlation Research at ThirdGrade of SMP 2 Daar el-Qolam Tangerang)”Motivation is a basic encouragement that drives behavior and gives strength toachieve goals, learning motivation is something fundamental in student’s self tohave the encouragement and goal in learning and achieving goals. Teachers aseducators are not only delivering material but also must have the ability to teach inorder the learning process run well and the goal of education is achieved. Thisresearch investigates the correlation between students’ motivation and theirachievement in speaking. The researcher conducted the research at third gradestudents of SMP 2 Daar el-Qolam Tangerang. Then the statement of the problemthat would be researched was 1. How is the students’ motivation at the third gradeof SMP 2 Daar el-Qolam Tangerang, 2. How is students’ speaking ability of thesecond grade of SMP 2 Daar el-Qolam Tangerang, 3. How is the correlationbetween students’ motivation in speaking English and speaking achievement at thesecond grade of SMP 2 Daar el-Qolam Tangerang. The method used in thisresearch was quantitative method and the technique used in this research was acorrelational technique. In collecting the data this researh was distributingquestionnaires to the respondent to assess students’ motivation. Beside in assessingstudents’ ability in speaking, this research cunducted oral test to the student. Thisresearch involves 40 students as sample among the students of SMP 2 Daar elQolam year 2018 as population. The result of this research show that thehypothesis null is rejected, it showed from The result of correlation is 0,98 if weused product moment table, it is between 0,90 – 100. Based on the data can beconclude that there is very high correlation between students’ motivation and theirachievement in speaking at third grade of SMP 2 Daar el-Qolam.Keywords : Speaking, Assessing of Speaking and Motivation
PENINGKATAN PEMAHAMAN KONSEP PKN MATERI LEMBAGA NEGARA DENGAN MEDIA CHART  PADA SISWA KELAS VI  SD N 1 TAWANGHARJO

Abstract The purpose of this study is to improve the quality of the learning process and improve students' understanding of concepts so that learning outcomes can improve. This research was conducted through a Classroom Action Research procedure with four stages of activities ranging from planning, implementing, observing, and reflecting. The data analysis is done by comparing the initial conditions with the first cycle where there is an increase from an average value of 60 to 69.09 and comparing between the first cycle with the second cycle an increase from an average value of 69.09 to 82.73 and compare from initial conditions until the second cycle an increase of an average of 82%. Thus the results of the study showed that by applying the contextual approach students more quickly understood the concepts conveyed in learning, so that learning outcomes improved. Keywords: PKN, RI State Institution, Media Chart
Hur typsnitt kan tolkas och uppfattas på webben : En studie om typsnitt och deras påverkan på informationens läsbarhet och hur typsnitt uppfattas på en webbplats

The purpose with this essay was to investigate if the choice of font has an impact on the content, readability and on the user-experience. Garamond, Futura and Courier New was chosen after research ...
Bharatanatyam Hand Mudra Classification Using SVM Classifier with HOG Feature Extraction

Communication is the ultimate of man’s search for conveying his ideas, emotions, and concepts. Dance is one of the media of communication through which dancers share notion of feelings, with the spectators through gestures, i.e., mudra. Gesture recognition propagates a concept without verbal speech or listening, and in dance recognition, the notion is transferred through various dance poses and actions. This activity in a way really paves way to enhance Indian Sign Language. This study focuses to solve the mudra resemblance in Bharatanatyam through a new system developed with image processing and classification technique using histogram of oriented gradient (HOG) feature extraction techniques and support vector machine (SVM) classifier. SVM classifies the features of HOG into mudras as text labels. Popular feature vectors such as scale-invariant feature transform (SIFT), speed up robust feature (SURF), and local binary pattern (LBP) are hardened against HOG for accuracy and speediness, and this innovative proposed concept is useful for online dance learners.