Reviewerly/exHarmony huggingface dataset:
Pengaruh Kondisi Ekonomi Keluarga dan Motivasi Belajar terhadap Prestasi Belajar Siswa Pada Mata Pelajaran Kewirausahaan Kelas XII di SMK Teknomedika 2 Cibungbulang Bogor

This research is motivated by the Family Economic Conditions, Learning Motivation, and Student Learning Achievement. The purpose of this study was to analyze the influence of Family Economic Conditions and Learning Motivation Against Student Learning Achievement in Entrepreneurship Class XII in SMK Teknomedika 2 Cibungbulang Bogor. This research was conducted using a sample of 42 students, using a random sampling technique from a population of 140 students. Consists of independent variable the Family Economic Conditions (X1), Learning Motivation (X2) and dependent variable Student Learning Achievement (Y). Researchers use quantitative data analysis, the stage of implementation of the analysis includes: (1) descriptive analysis, (2) classical assumption test (prerequisite) and (3) hypothesis testing. The results of this study indicate that: 1) There is a significant influence on the family economy of student achievement in SMK Teknomedika 2 Cibungbulang Bogor by 50.7%. 2) There is a significant influence of learning motivation on student achievement in SMK Teknomedika 2 Cibungbulang Bogor by 51.0%. 3) There is a significant influence between family economy and learning motivation together on student achievement in SMK Teknomedika 2 Cibungbulang Bogor by 69.7% while the remaining 30.3% is influenced by other variables not examined in this study .&#x0D; Keywords: family economy, learning motivation, and learning achievement.
Novel automatic seed selection approach for mass detection in mammograms

The success of mass detection using seeded region growing segmentation depends on seed point selection operation. The seed point is the first point from which starts the process of aggregation. This point must be inside the mass otherwise the segmentation fails. There are two principal ways to perform the seed point selection. The first one is manual, performed by a medical expert who manually outlines the point of interest using a pointer device. The second one is automatic; in this case the whole process is performed without any user interaction. This paper proposes a novel approach to select automatically the seed point for further region growing expansion. Firstly, suspicious regions are extracted by a thresholding technique. Secondly, the suspicious region whose features match with the predefined mass features is identified as the region of interest. Finally, the seed point is placed inside the region of interest. The proposed method is tested using the IRMA database and the MIAS database. The experimental results show the performance and robustness of the proposed method.
Hidden Narratives: Augmented Reality to enhance cultural and historical values in the design of Lake Fuxian

&lt;p&gt;&lt;b&gt;The impacts of globalisation has lead towards the loss of culture, such as overpopulation, forestation and global intergration. The lost culture has mostly been preserved through written text and oral narratives as a way of illustrating a long-gone reality. Similarly, narratives have the power to connect people with imagination and allow them to experience the uniqueness of a specific site in their own terms. However, oral narrative and written text lacked the interaction between communities, or human to Landscape. New technologies have the potential to reconnect these oral narratives or written text with both the wider public and the site. &lt;/b&gt;&lt;/p&gt;&lt;p&gt;This research will explore the historical change of Lake Fuxian, from 500 million years ago to present day, through the illustration and experience of Landscape narratives. This research aims to utilize Augmented Reality as a way to physically connect to the past, while still retaining the existing landscape. Augmented Reality has the ability to combine many types of narratives, such as oral, written and drawn, resulting in an educated relationship to Lake Fuxian. Additionally, modernizing these narratives for a larger demographic such as visitors and locals to engage with the landscape, promoting respect for cultural diversity and adaption. &lt;/p&gt;
Evaluation Of A Preasure Sensor For A Tsunami Warning System

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract EVALUATION OF A PREASURE SENSOR FOR A TSUNAMI WARNING SYSTEM INTRODUCTION The goal of this project is to develop a low-cost tsunami warning system for use in impoverished regions where tsunamis pose a threat. This paper details the design process of a pressure sensor used for tsunami detection. We begin by first considering the desired sensor parameter and range of depth in which the experiment will be conducted. The signal conditioning circuit is incorporated following the pressure sensor selection. The concept of the experiment used to collect and analyze the data necessary for tsunami prediction is presented in detail. Paper provides a discussion of the possible modification and improvements to the finalized pressure sensor model as a platform for future applications of this work. Finally, conclusion provides the overview of the pressure sensor design and gives insight for the continuation of this project for the next semester. PRESSURE SENSOR SELECTION Sensor Parameters The desired sensor parameters for a pressure sensor in a tsunami warning system are repeatability and linearity. Repeatability refers to the closeness of agreement among a number of consecutive measurements of the same variable. Repeatability serves to reduce the possibility of a tsunami warning being a false alarm. Linearity is a measure of how well the transducer output increase linearly with increasing pressure. Linearity eliminates the need for a complicated set of algorithms to calculate the dynamic pressure from the pressure recorded by the sensor. Pressure range In order to pick the right sensor, it was first necessary to calculate the range of pressures the sensor will be deployed in. The initial bench test was done in a still water tank with a depth of 3 feet. The calculation of the pressure range was as follows:  kg  m P = ρgh = 1000  9.81 2 (0.9144m ) = 8.96 x103 Pa = 1.30 psi  m  s  At 3 feet (0.9144m) of water, the pressure is 1.30psi. Given this pressure range, we sourced for a pressure sensor available in our laboratory that was functional over a similar range. A strain gage pressure sensor with a range of 0 – 13psi fit our needs best. This pressure sensor which requires a supply of 13 – 28VDC is internally conditioned to give an output range of 0 – 10 VDC. Fig.2.1: Photo of Pressure Sensor. 1
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 56, Issue 1 p. 22172A-22173C Social and Cultural MEDIA First published: 17 February 2019 https://doi.org/10.1111/j.1467-825X.2019.08699.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue1February 2019Pages 22172A-22173C RelatedInformation
Corrigendum

International Journal of Energy ResearchVolume 45, Issue 5 p. 8116-8116 CORRIGENDUMFree Access Corrigendum This article corrects the following: Retracted: Optimal peak shifting of a domestic load connected to utility grid using storage battery based on deep Q-learning network Mostafa Al-Gablawy, Volume 45Issue 2International Journal of Energy Research pages: 3269-3287 First Published online: October 14, 2020 First published: 14 February 2021 https://doi.org/10.1002/er.6563AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Optimal peak shifting of a domestic load connected to utility grid using storage battery based on deep Q-learning network In Al-Gabalawy,1 there was an error in the author's surname. It should be Mostafa Al-Gabalawy instead of Mostafa Al-Gablawy. REFERENCE 1Al-Gabalawy M. Optimal peak shifting of a domestic load connected to utility grid using storage battery based on deep Q-learning network. Int J Energy Res. 2021; 45: 3269- 3287. https://doi.org/10.1002/er.6023. Wiley Online LibraryWeb of ScienceÂ®Google Scholar Volume45, Issue5April 2021Pages 8116-8116 ReferencesRelatedInformation
Correction

This article refers to:Pedagogic populism vs. opportunities to learn: university music students’ appraisal of their school music classes
Pelatihan Penggunaan Edmodo untuk Meningkatkan Pengetahuan Teknologi Pembelajaran Guru SMP Yapis Merauke

Changes in learning patterns from face-to-face to distance learning indirectly make teachers have to be able to adapt quickly to the use of technology as the main means of learning. The technological knowledge possessed by teachers is of course a major factor in the success and effectiveness of online learning. Community Service Activities carried out at the Yapis Merauke Junior High School aim to improve the ability of teachers to manage technology-based learning which is carried out in 3 forms of activity, namely socialization, training, and mentoring equipped with practice and learning simulations using Edmodo. The stages of activity include socializing about Edmodo as an e-learning platform, training on account creation and classes in Edmodo to assisting the use of Edmodo in learning activities, and evaluating activities to determine the increase in technological knowledge of Yapis Merauke Middle School teachers. The indicator of increasing technological knowledge is indicated by more than 75% of Yapis Junior High School teachers being able to use Edmodo as an online learning tool.
Bilangan Kromatik Modular Pada Beberapa Subkelas Graf

Let G be a graph, modular k-coloring, k &gt; 2 on graph G without isolated vertex is a vertex coloring on graph G with elements in the set of integers modulo k, Zk satisfying the properties for every two neighboring vertex in G, the number of colors (v) from their different neigbors in Zk. The modular chromatic number mc(G) in G is the minimum k integer where there is modular k-coloring on graph G. In this article describes modular chromatic numbers on Star Graph (Sn), Caterpillar Graph , Fan Graph (Fn), Helm Graph (Hn) and Triangular Book Graph (Btn).&#x0D; Keywords: Modular coloring, Modular chromatic number
A Study on the Prevention of Cyberbullying in Workplaces

The purpose of this article is to examine workplace cyberbullying as a cybercrime. Based on deterrence theory and social influence theory, this study builds a model of antecedents to prevent cyberbullying in workplaces. For this, this article conducts a survey of 305 Korean workers and uses SPSS 18.0 for hierarchical regression analysis. The results of this survey being, first, the certainty of detection prevents employees' intention to cyberbullying in the workplace while the severity of penalty and has no effect. Second, subjective norms and descriptive norms prevent employees' intention to cyberbullying in the workplace. The results show that social influence is more important to control members' behavior in workplace cyberbullying than corporate policy. And, this article is the first to investigate the preventers of employees' intentions to cyberbullying in workplace in the perspective of cybercrime.
About This Issue

April 05 2020 About This Issue Douglas Keislar Douglas Keislar Search for other works by this author on: This Site Google Scholar Author and Article Information Douglas Keislar Online Issn: 1531-5169 Print Issn: 0148-9267 © 2021 Massachusetts Institute of Technology.2021Massachusetts Institute of Technology Computer Music Journal (2020) 44 (1): 1. https://doi.org/10.1162/comj_e_00546 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Douglas Keislar; About This Issue. Computer Music Journal 2020; 44 (1): 1. doi: https://doi.org/10.1162/comj_e_00546 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsComputer Music Journal Search Advanced Search © 2021 Massachusetts Institute of Technology.2021Massachusetts Institute of Technology You do not currently have access to this content.
Acknowledgment to Reviewers of Axioms in 2020

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Axioms maintains its standards for the high quality of its published papers [...]
Theories and Computer-Based Input to Optimizing Dynamic programming

The massive increase in computation power in the years past has substantially increased our ability to solve more complex problems with their performance evaluations in diverse areas.Advanced programming approaches are now becoming profitable to make decisions with the latest developments in the area of optimization.One of the standards of elegant algorithm design and also a useful tool that delivers classic algorithms for a wide range of combinatorial optimization issues is the dynamic programming.Our experiment will be based on using Python to solve Dynamic Programming.
Design and Development of Efficient Multipath TCP for Data Center in Public Cloud

In recent days, variety of application development making use of cloud data centers effectively for analyzing data, processing related applications such as interactive and batch processing. Some of the factors influence on network performance by maintaining low delay, high-speed data transfer and more reliability. Maintaining and satisfying these factors becomes a challenging issue due to dynamic variations on network. TCP (Transmission control Protocol) proposed recently a new concept of multi-path TCP (MPTCP) for maximum utilization of paths over network flow. In spite of its added advantages, some sort of work on MPTCP to be carried out on cloud environment and further, efficient way of using MPTCP on real-world cloud application still looks like unclear problem. Our proposed work concerned on MPTCP usage in most effective and feasible way for cloud and data center environments over various conditions on network. The experiment is conducted by clustering the public cloud data using k-means algorithm and communicated over a network using MPTCP. The results shows that the proposed method yields high-speed data transfer and low communication delay when compare to traditional TCP technique.
Designing an Information System to Support Implementation of The Retrieval Practice Method

The Retrieval Practice method was developed based on a memory model. In this study, the characteristics of deep rehearsal, including semantic processing accompanied by pictures are the basis for making quiz questions. The application of the Retrieval Practice method requires the support of Information Systems. Focus Group Discussions discuss aspects of repetition in learning. The aim of supporting the application of the Retrieval Practice method is expected to be able to improve student competencies, especially in terms of maturing students' knowledge and understanding. Data is measured from testing semester 2-2018 and semester 1-2019. Conclusion: Cognitive understanding for teachers will help students understand knowledge, understanding, analysis and synthesis into their memories.&#x0D; Metode Retrieval Practice dikembangkan berdasarkan model memori. Dalam penelitian ini, karakteristik deep rehearsal, termasuk pemrosesan semantik yang disertai gambar adalah dasar untuk membuat pertanyaan kuis. Penerapan metode Retrieval Practice memerlukan dukungan Sistem Informasi. Diskusi Kelompok Terfokus membahas aspek pengulangan dalam pembelajaran. Tujuan mendukung penerapan metode Retrieval Practice ini diharapkan dapat meningkatkan kompetensi mahasiswa terutama dalam hal mematangkan pengetahuan dan pemahaman para mahasiswa. Data diukur dari pengujian semester 2-2018 dan Semester 1-2019. Kesimpulan : pemahaman kognitif bagi dosen akan membantu mahasiswa memahami pengetahuan, pemahaman, analisis dan sintesis ke dalam ingatan mereka.
Reviewer Acknowledgements

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue. Reviewers for Volume 6, Number 4 Andrey KudryavtsevAyoub Taha SidahmedErdal GumusGetamesay Bekele MesheshaHe NieHedieh ShadmaniIan McFarlaneIbrahim BaghdadiIgor MatyushenkoKaveh DalvandMagdalena ZiołoMahmoud Mohammed SabraMamdouh Abdelmoula M. AbdelsalamMarco MeleMarco MuscettolaNuno CrespoOltiana Muharremi PelariPatrycja Kowalczyk-RolczynskaPayal ChadhaRamona OrasteanRichard NguyenRomeo Victor IonescuSebastian SchichSteven V. CatesSzabolcs BlazsekY. Saidi Nikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com
Real-time data mining for multimedia streaming

Developing a Web Video Player connected to a security surveillance camera for collecting the video streams is the main objective of this study. The Developed Web Application tracks the target object through the sequences of video frames and generates the object trajectories. The video frames are analyzed, and the object trajectories are fed into a classifier or clustering method for training and movement detection purposes. In this thesis, several machine learning techniques are applied and implemented in Batch and in Real-Time mode including SVM, J48 Decision Tree, PART, Decision Table, Decision Stump, Multilayer Perceptron, and K-Means clustering by using two customized datasets. The object tracking, and movement detection are based on a simplified HSV color space model. The developed Web Application and proposed architecture are implemented on a local area network with in-house Server as well as a single computer and can detect the trajectories of the moving objects effectively.
MAIN EFFECTS OF INTERACTIVITY IN INTERACTIVE POSTERS FOR PRIMARY SCHOOL STUDENTS

The article analyzes the importance of using visual aids in the learning process of primary school students. The importance of using interactive posters as a modern demonstration tool is substantiated. It was described 9 effects of interactivity on the example of the electronic educational resource “Mathematics for the 1st grade. Interactive posters” (author Rybalko O.O.). Using these effects, a teacher can move objects along the web page and make notes in a specially designated place. A very important feature of interactive posters is the ability to make objects visible or invisible, and the use of special commands allows teachers and students to close and open the corresponding records and images. Examples of expedient use of different types of animation and the effect of painting the corresponding image elements are given. It is also possible to play or stop audio and video at any convenient for a teacher time with the help of special buttons. In addition, this electronic educational resource has programmed buttons to clear e-pages from used images and recordings. All these interactivity effects work reliably thanks to the author’s own technology for designing interactive electronic posters in the Adobe Flash CS3 environment. The use of the programming language Action Script 2.0 provides the implementation of effective management of electronic educational resources and the possibility of implementing the application of these effects in the process of conducting lessons in primary school. Due to the different interactive effects interactive posters are more visually attractive than graphic or ordinary posters. Their usage helps support the emotional level of students. It also gives the opportunity to add teaching materials that are given in the text- books. Correct usage of interactive posters at lessons assists to form clear contents concepts, to develop logical thinking and language. It is useful in considering and analyzing the certain phenomena to come to generalizations that are applied in further practice. Such suggested methodic is considered to be perspective for using interactive posters in pre-school educational establishments and those with inclusive training. They can be used to illustrate the learning process not only in mathematics, but also in other subjects studied in primary school. In addition, some interactivity effects that can be used in middle and high school are to be studied.
PERANCANGAN SISTEM INFORMASI PENERIMAAN PESERTA DIDIK BARU (PPDB) BERBASIS WEB DI SMK BANTEN JAYA

The rapid development of science and technology. Information technology can help in producing information systems that are fast, accurate, relevant and timely. information is needed in various sectors that will support developments in all fields and can help solve problems to get the right results. Web-Based Information System for New Student Admissions is a system designed to carry out automatic selection starting from the registration process, the selection process until announcement of the result which is made online and real time based. The online PPDB system is able to satisfy expectations among the people regarding the implementation of new student admission system that are objective, transparent, accountable, quick and accurate. In this Community Service, the focus is on the process of implementation new student admissions (PPDB) which is carried out online. Based on the results of the analysis, it can be concluded that the online admission process of new students (PPDB) has only been running for a year. This research method uses the Waterfall method. certainly in the process of implementation PPDB online there are still some things that need to be considered. As well as the socialization that was carried out, because not all people understand the existing technology, need specific part in the verification process according to the field of certificate being verified.
Ekstrasi Fitur Berbasis Tekstur Menggunakan Distribusi Statistik Pada Sistem Temu Balik Citra

Feature extraction is a method to capturing visual content of images for indexing and retrieval. This research using texture, low level image feature as gernal (visual) feature for extracting feature of images. Image texture measurement using selected histogram based features such as mean (average of grey level), standard deviation, skewness, energy and smoothness. The basis of measure of similarity in this research is Canberra distance. Performance of CBIR system used precision and recall.