Reviewerly/exHarmony huggingface dataset:
Penerapan Model Pembelajaran Discovery Learning Untuk Meningkatkan Hasil Belajar Ipa Siswa Kelas IV SD GMIM 1 Woloan

This study aims to improve learning outcomes through the application of the Discovery Learning Learning Model in science subjects for fourth grade students of GMIM I Woloan Elementary School. The research method used was the classroom action research method. This research was conducted in two cycles. Each cycle follows the stages of planning, implementing actions, observing and reflecting. Data collection techniques in this study used student worksheets to measure student learning outcomes and observation sheets to see student activity in the learning process. The data analysis technique was performed using an assessment sheet at the end of each action in each cycle. Learning outcomes data were analyzed by calculating the percentage of student learning outcomes. The results of the study prove that using the Discovery Learning model can improve student learning outcomes on material properties of objects, as indicated by the acquisition of individual learning outcomes on average in the first cycle of 44.09% up to 83.40% in the second cycle. The results of this class action research can be concluded that the application of the Discovery Learning learning model can improve the science learning outcomes of students in fourth grade students of GMIM I Woloan Elementary School
Analisis Penggunaan Media Sosial Dan Sumber Belajar Digital Dalam Pembelajaran Bagi Siswa Digital Native Di SMAN 2 Painan

The purpose of this study is to find the effect of the use of social media and digital learning resources fordigital native in learning. Type of this research is associative descriptive. Descriptive research is research that describes or explains something of the relationships and influences between variables as they are. While associative research is research looking for relationships between a variable with other variables. The population of this study was Class XI IPS 1, XI IPS 2 and XI IPS 3 in SMAN 2 Painan. The sample used in this study was obtained by total sampling of 97 people. Based on the results of research and discussion on the use of social media it can be concluded that the use of social media by digital native students at SMAN 2 Painan can be classified as quite high. And the use of digital learning resources by native digital students can be classified as quite high. This means that digital learning resources have a positive impact if used continuously in learning. DOI: https://dx.doi.org/10.17977/um014v13i12020p001
Image-Text Joint Learning for Social Images with Spatial Relation Model

The rapid developments in sensor technology and mobile devices bring a flourish of social images, and large-scale social images have attracted increasing attention to researchers. Existing approaches generally rely on recognizing object instances individually with geo-tags, visual patterns, etc. However, the social image represents a web of interconnected relations; these relations between entities carry semantic meaning and help a viewer differentiate between instances of a substance. This article forms the perspective of the spatial relationship to exploring the joint learning of social images. Precisely, the model consists of three parts: (a) a module for deep semantic understanding of images based on residual network (ResNet); (b) a deep semantic analysis module of text beyond traditional word bag methods; (c) a joint reasoning module from which the text weights obtained using image features on self-attention and a novel tree-based clustering algorithm. The experimental results demonstrate the effectiveness of using Flickr30k and Microsoft COCO datasets. Meanwhile, our method considers spatial relations while matching.
An Efficient Two-Level Dictionary-Based Technique for Segmentation and Compression Compound Images

Image data compression algorithms are essential for getting storage space reduction and, perhaps more importantly, to increase their transfer rates, in terms of space-time complexity. Considering that there isn&amp;#39;t any encoder that gives good results across all image types and contents, this paper proposed an evolvable lossless statistical block-based technique for segmentation and compression compound or mixed documents that have different content types, such as pictures, graphics, and/or texts.&#x0D; &#x0D; Derived from the number of detected colors and to achieve better compression ratios, a new well-defined representation of the image is created which nonetheless retains the same image components. With the effort of reducing noise or other variations inside the scanned image, some primary operations are implemented. Thereafter, the proposed algorithm breaks down the compound document image into equal-size-square blocks. Next, inspired by the number of colors detected in each block, these blocks are categorized into a set of six-image objects, called classes, where each one contains a set of closely interrelated pixels that share the same common relevant attributes like color gamut and number, color occurrence, grey level, and others. After that, a new representation of these coherent classes is formed using the Lookup Dictionary Table (LUD), which is the real essence of this proposed algorithm. In order to form distinguishable labeled regions sharing the same attributes, adjacent blocks of similar color features are consolidated together into a single coherent whole entity, called segments or regions. After each region is encoded by one of the most off-the-shelf applicable compression techniques, these regions are eventually fused together into a single data file which then subjects to another compression stage to ensure better compression ratios. After the proposed algorithm has been applied and tested on a database containing 3151 24-bit-RGB-bitmap document images, the empirically-based results prove that the overall algorithm is efficient in the long run and has superior storage space reduction when compared with other existing algorithms. As for the empirical findings, the proposed algorithm has achieved (71.039 %) relative reduction in the data storage space.
Engagement During Storybook Reading Promotes Indonesian Children’s English Vocabulary Acquisition

The purpose of this study is to explore the engagement of parents-child during the implementation of storybook reading to promote Indonesian children’s English vocabulary acquisition. The researcher uses questionnaire and interview to collect the data. There are 81 respondents who fulfil the questionnaire. The researcher applies an in-depth open ended interview. The result shows that children acquire new English vocabularies through the implementation of storybook reading by parents from home-based activity. The researcher uses Narrative Inquiry as the research methodology. The implication of this study to increase the parents’ awareness on the benefit of implementing storybook reading to promote children’s English vocabulary acquisition. The other implication is guiding parents to create engagement to reach the goals.
The Influence of Patriarch Nikon’s Church Reforms on the Development of the Moscow Printing Court

On the basis of documents from the archive of the Book Printing Chancellery, this article examines the changes that occurred in the main typography of the Muscovite state between 1620 and 1675. Measures taken to optimise the process of printing led to this establishment becoming highly lucrative. Using a comparative analysis of the net cost of books and their sales price, we are able to pin point the surplus value of production between 1630 and the beginning of the 1650s. All this changed with Patriarch Nikon’s church reforms, which began with the correction of religious texts: this had a direct impact on the activities of the Printing Court. Analysis of the typography’s work after the reforms leads us to the conclusion that the changes interrupted the rapid development of the Moscow Printing Court and its transformation into a large and profitable enterprise. In the second half of the 17th century, the typography began to receive subsidies: by the beginning of the 18th century, it had entered a period of severe crisis which pushed it to the very brink.
Borders of Art in Ancient and Modern Material Culture

The article discusses the meaningful definition of the concept of art for objects of material culture and the possibility of its expansion to other kinds of art. Each subject might be considered as a complex of features, some of them may bear artistic values. It turns out that for art related features deviations from the cultural accepted standard are crucial. The object with a certain number of deviations from anticipated standard would be most likely perceived as an art object. Thus we assume that the field of art is on the one hand limited by the standard, on the other hand, by such degree of deviation that goes beyond the comprehension of an ordinary culture bearer. With some restrictions this principle can be extended to other areas of human activity.
Selected Best Works From Automated Face and Gesture Recognition 2019

The papers in this special section were presented at the 14TH IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019) that was held in Lille, France, 14–18 May 2019.
Construction of Quality Assessment Indicator System for Respiratory Rehabilitation Nursing

Objective: In order to provide an effective method for the comprehensive and scientific evaluation of respiratory rehabilitation nursing, a nursing quality evaluation index system for respiratory rehabilitation was constructed.Methods: Based on the theory of structure-process-outcome three-dimensional quality model, indexes and weights of respiratory rehabilitation nursing quality evaluation at all levels were determined by using literature review, semi-structured interviews, Delphi method, and Analytic Hierarchy Process.Results: The response rates of the two rounds consultation were 100% and 93% respectively, and the authority coefficients of experts are 0.872 and 0.922.The coordination coefficients of expert opinions were 0.583, 0.498, 0.407 for the first, second and third-level respectively.The significance test value P was less than 0.01.The final indicator system is constructed with 3 first-level indicators, 9 second-level indicators, and 46 third-level indicators.Conclusion: The constructed respiratory rehabilitation nursing quality evaluation index system is not only reliable, scientific, comprehensive, and but also with outstanding specialty characteristics.It provides an effective strategy to improve respiratory rehabilitation nursing quality.
EVALUASI TINGKAT PENERIMAAN APLIKASI DATA POKOK PENDIDIKAN (DAPODIK) MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) (Studi Kasus : Pemutakhiran Data PIP Menggunakan Aplikasi DAPODIK)

ABSTRACT&#x0D; Smart Indonesia Program (PIP) is a direct cash assistance provided to underprivileged students with Smart Indonesia Card (KIP) as a marker / identity to ensure and ensure that children get the assistance of the Smart Indonesia Program. In order to monitor the distribution of KIP and to ensure that KIP has been accepted and can be utilized by the students, the Ministry of Education and Culture shall validate and update KIP recipient data through the Dapodik Application. Dapodik is an online and real time, based application that can be accessed and operated directly by all school operators in data entry, data processing, updating of PIP data, education personnel, students, periodic, sanitation, study groups and data of infrastructure school. This study aimed to evaluate the level of acceptance of basic education data applications (dapodik) using the method of Technology Acceptance Model (TAM). This study used 3 modified variables are Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as independent variable while Acceptance of IT as dependent variable. This study used simple random sampling as a sampling technique, with the number of respondents as many as 66 people operators. For data analysis techniques, this study used multiple regression techniques with descriptive quantitative research types, as well as data processing tools using SPSS 16.00 for windows software. The results showed that the benefit factor (Perceived Ease of Use) of 43.5%, factor amenity (Perceived Usefulness) of 36.8%. This proves that the more dominant benefit factor influences receipt of Dapodik application usage as PIP data updating application.&#x0D; &#x0D; Key Words: Aplication of Dapodik, Perceived Ease of Use, Perceived Usefulness, Perceived Usefulness, Acceptance of IT, Technology Accaptance Mod
Pengembangan Alat Ukur Kecerdasan Jamak Siswa Sekolah Dasar Berorientasi Pembelajaran

The purpose of this research, in general, is to develop measurement tools for verbal-linguistic intelligence, logical-mathematical intelligence, interpersonal intelligence, and kinesthetic intelligence for elementary school students. More specifically the purpose of this study is to test the validity and reliability of measuring tools verbal-linguistic intelligence, logical-mathematical intelligence, interpersonal intelligence, and kinesthetic intelligence of elementary school students. The research method used is descriptive development method. Development of measuring tools for verbal-linguistic intelligence, logical-mathematical intelligence, interpersonal intelligence, and kinesthetic intelligence was collected through survey techniques by observing to see the emergence of each student. Data analysis techniques in this study were conducted by testing the validity and reliability of the measuring instrument. The research subjects were 30 first grade students scattered in SDN 1 Pasirhalang, SDN 1 Selaawi, and SDN 1 Sukaraja, Sukaraja District, Sukabumi Regency in the 2018/2019 school year. The results of this study indicate that the measurement tools for verbal-linguistic intelligence, logical-mathematical intelligence, interpersonal intelligence, and kinesthetic intelligence are in the valid category of 30 indicator items out of 40 indicator items and are reliable with Cronbach's Alpha value of 0.739 which is in the high category.
The Use of Skit Technique in Enhancing the Students’ Speaking Ability

This research intended to prove whether the use of skit technique enhanced the students’ speaking ability or not. This research employed quasi-experimental research design with the non-equivalent control group design. The population of this research was the second year students of senior high school that consisted of 260 students. This research used cluster random sampling technique. From nine classes, two classes were taken as a sample of the research. One class was chosen as the experimental class and another one as the control class. The total sample consisted of 72 students. In order to answer the research question, the instrument of this research was speaking test. There are some types of oral tests, but this research used a picture story. The result of data analysis showed that the rate percentage and frequency of the post-test score was higher than the rate percentage and frequency of the pre-test score. In pre-test, the value of t-test (0.34) was lower than the value of t-table (1.980). While in post-test, the t-test value (2.83) was higher than the t-table value (1.980). Based on these findings, it can be inferred that the skit technique significantly enhanced the students’ speaking ability.
The Role of Jigsaw IV based on WhatsApp in Enhancing English Vocabulary among EFL Major Students

The availability and the use of WhatsApp are increasingly widespread among Arab EFL learners.The current study aimed to investigate the role of Jigsaw IV based on WhatsApp in improving English vocabulary among Saudi university students.The participants of the study were 40 students.They were divided into two groups as the experimental and the control group.A pre-test and post-test were used.The participants of the experimental group studied English vocabulary electronically through WhatsApp three days a week for six weeks using the jigsaw technique.On the other side, the control group was taught vocabulary of their textbook inside the classroom by traditional methods.The results revealed that using the jigsaw technique based on WhatsApp had a significant role in the vocabulary learning of the students.
SwiftFabric: Optimizing Fabric Private Data Transaction Flow TPS

As permissioned chain technology is getting more and more important in blockchain technology, Hyperledger Fabric-one of its representative-has received extensive attention. However, previous works just focused on plaintext transmission and made TPS optimization that cannot be applied in ciphertext transmission situation, which is usually required on permissioned chain under actual circumstances. This paper will be the first to focus on private data transaction flow to optimize Fabric TPS, without changing the normal call to the Fabric SDK (Software Development Kit). We modify the process of writing data to the transient database after the completion of the simulated transaction, optimize the data structure in transient database, and simplify the process of verifying hashes. At the same time, professional SmartContract experiment cases and experiment plans are designed to simulate large-scale commercial applications, which are used to measure the TPS before and after optimization in the Fabric private data transaction mode. The results show that the optimized Fabric model can greatly promote the performance of the private data transaction flow.
ACTIVE LONGEVITY DEPENDS ON A MAN

Main causes of human body aging are irrational, poor-quality nutrition and a sedentary lifestyle.Due to contamination of the products, the cells and the intercellular space are slagged with poisons and metabolic products that fill the veins and arteries.The purpose of the study is the theoretical justification of the importance of identifying conditions that determine the quality and life expectancy of people.The experiment involved 44 people.In the experimental group there was used the authors' methodology of classes using natural locomotion 4 times a week.Students were also encouraged to practice their motor actions during their free days in the same sequence, dosage, rhythm and pace.Repeated testing after the end of the pedagogical experiment revealed a significant improvement in motor activity and functional indicators.The results of the pedagogical experiment showed the availability and effectiveness of the proposed techniques; the importance of performing physical exercises as the main means of cleansing the body of poisons and toxins as the main cause of premature aging and destruction of the body.
Cube-Based Cryptanalysis of Subterranean-SAE

Subterranean 2.0 designed by Daemen, Massolino and Rotella is a Round 2 candidate of the NIST Lightweight Cryptography Standardization process. In the official document of Subterranean 2.0, the designers have analyzed the state collisions in unkeyed absorbing by reducing the number of rounds to absorb the message from 2 to 1. However, little cryptanalysis of the authenticated encryption scheme Subterranean-SAE is made. For Subterranean-SAE, the designers introduce 8 blank rounds to separate the controllable input and output, and expect that 8 blank rounds can achieve a sufficient diffusion. Therefore, it is meaningful to investigate the security by reducing the number of blank rounds. Moreover, the designers make no security claim but expect a non-trivial effort to achieve full-state recovery in a nonce-misuse scenario. In this paper, we present the first practical full-state recovery attack in a nonce-misuse scenario with data complexity of 213 32-bit blocks. In addition, in a nonce-respecting scenario and if the number of blank rounds is reduced to 4, we can mount a key-recovery attack with 2122 calls to the internal permutation of Subterranean-SAE and 269.5 32-bit blocks. A distinguishing attack with 233 calls to the internal permutation of Subterranean-SAE and 233 32-bit blocks is achieved as well. Our cryptanalysis does not threaten the security claim for Subterranean-SAE and we hope it can enhance the understanding of Subterranean-SAE.
WitMirror: A Voice Controlled IOT Mirror

It is a self-evident fact that modern technology is transforming everything around us.With the advent of IoT era, this transformation is even more remarkable.From our phones to even our shoes, everything is becoming smarter.Even the most ubiquitous thing, like a mirror, is no exception.Through this paper we have explained how even a simple looking mirror can interact with us, providing us with much useful information and giving us the ease of controlling each and everything around us, just by using voice commands.This paper depicts the workflow and development of WitMirror.As the name suggests, this device has the ability to interact with the user through voice commands giving the output accordingly.It can display various useful information like current weather, date & time, news headlines, map of the desired location and all the upcoming events.For extracting these piece of information, the device will use various third-party APIs through the Internet.It is the next step in the field of home automation, where the mirror acts as a central hub, which can control all the home devices dwelling in the smart futuristic home.For parents, it also has a unique application where they can monitor the current location of their children through a simple android app installed on their phone.So in case of any miss happening, the parents will know the location of their children beforehand.The user face will be detected using image processing.Raspberry Pi 3 will work as the brain of the device.It is also equipped with a microphone, camera speaker and a display for various input/output purpose.For controlling Home Appliances relay mechanism is used.With all these advanced features, the device will also act as the simple mirror for astounding experience to the user.
Application of Cloud Computing in Companies

Cloud computing is a new technology that represents the realization of an old idea that computer data processing is executed and charged as a service. The goal of this chapter is to define the basics of the cloud computing concept and how this technology works, and then explain where is all the data that cloud computing uses, how they are distributed, how and to what extent are available, who are the ultimate beneficiaries, what are the advantages and the disadvantages of applying this concept. This cloud computing model consists of five essential features, three service models, and four application models, and the elaboration of these concepts will be an integral part of this chapter. Particular attention will be paid to the possibility of data abuse in cloud computing and regarding that data protection against manipulation from service providers as well as the financial aspect of cloud computing.
AN ANALYSIS OF LANGUAGE STYLES USED IN REVLON’S WRITTEN ADVERTISEMENTS

The objectives of this research are (1) to find out the linguistic features used in Revlon advertisements,(2)to describe the persuasion techniques of language style used in Revlon advertisements,and (3) to find out the most dominant linguistic feature used in Revlon advertisements.This research was conducted by using qualitative and discourse analysis method.The researcher used 31 Revlon advertisements.The research data were collected by choosing the clauses or phrases from Revlon Cosmetics which showed some linguistics features and persuasion techniques.Research findings showed that (1) there were two linguistic features used in Revlon advertisements. They were lexical feature and syntactic feature. (2) the persuasion techniques that used in Revlon were pioneering stage, competitive stage and retentive stage. (3) the most dominant linguistic feature used in lexical feature was simple vocabulary which occurred 58.82% while in syntactic feature was incomplete sentence which occurred 30.43%.