Reviewerly/exHarmony huggingface dataset:
IMPLEMENTATION OF PEDAGOGIC COMPETENCE OF E-LEARNING WEBSITE, WHATSAPP GROUP, AND GOOGLE MEETING IN SUPPORTING ENGLISH LANGUAGE EDUCATION ONLINE LEARNING

This study aims to analyze several platforms used to support online learning activities. In addition to E-Learning official website provided by the campus as a media for class interaction based on the web, there are also platforms used to support online learning activities, such as Google Meeting and Whatsapp Group. Google Meeting is used as a live streaming media. WhatsApp Group as a media for class interaction that is simpler and more concise based on chat. This study method used is qualitative descriptive in order to find out in more detail about the weaknesses to the strengths of each platform. This study was applied to regular English Language Education students in 2018, Esa Unggul University. Data collection is done through direct observation and interviews with the students involved. Keywords : online learning, digital platform, online class Penelitian ini bertujuan untuk menganalisis beberapa platform yang digunakan untuk mendukung kegiatan pembelajaran secara daring. Selain website resmi E-Learning yang disediakan oleh kampus sebagai media interaksi kelas berbasis web, adapula platform yang digunakan untuk menunjang kegiatan pembelajaran secara daring seperti Google Meeting dan WhatsApp Group. Google Meeting digunakan sebagai media live streaming. Kemudian Whatsapp Group sebagai media interaksi kelas yang lebih sederhana dan ringkas yang berbasis chat. Penelitian ini menggunakan metode deskriptif kualitatif guna mengetahui lebih rinci soal kelemahan hingga kelebihan masing-masing platform. Penelitian ini diterapkan pada mahasiswa Pendidikan Bahasa Inggris reguler tahun 2018, Universitas Esa Unggul. Pengumpulan data dilakukan melalui observasi dan wawancara langsung dengan mahasiswa yang terlibat. Kata kunci : Pembelajaran daring, digital platform, kelas online
Developing psychological and pedagogical competence of future army officers through the use of role-playing games

Psychological and pedagogical training is insignificant at military educational institutions, so its results do not meet the needs of the armed forces as to a high level of psychological and pedagogical competence of officers who are in constant contact with servicemen while training and educating them. One way to solve this problem is to intensify the practical component of psychological, pedagogical or leadership courses by using role-playing games when cadets give mini-lectures and psychological workshops. Substantiation of expediency and study of use of the specified role-playing games makes the purpose of the research which tasks include defining the essence of psychological and pedagogical competence of future army officers, substantiation of the significance and experimental check of the efficiency of role-playing games as conditions of effective means for developing the specified competence.
Python for A-Level Maths, Undergraduate Maths and Employability

Many pupils studying A-Level Mathematics will be wondering if it is worth learning a programming language, and whether this can help with their studies and their future employment. Most people have now heard of Artificial Intelligence (AI) and the Internet of Things (IoT), and with the proliferation of connected devices and ever-faster computer processing, there has been an explosion of data collection and analysis. AI, analytics, automation, data science and robotics are all changing the way we work and that’s why more and more employers are seeking mathematicians who can program.
Facial Recognition System for Suspect Identification using a Surveillance Camera

There is an abnormal increase within the rate and also the amount of criminals is increasing, this leads towards an excellent concern about the safety issues. Crime preventions and criminal identification are the first issues before the police personnel, since property and lives protection are the essential concerns of the police but to combat the crime, the supply of police personnel is restricted. With the arrival of security technology, cameras especially CCTV are installed in many public and personal areas to supply surveillance activities. The footage of the CCTV are often wont to identify suspects on scene. during this paper, an automatic face recognition system for criminal database was proposed using Voila Jones and LBP Algorithm. this technique are going to be ready to detect face and recognize face automatically in real time. An accurate location of the face remains a challenging task. Viola­Jones framework has been widely employed by researchers so as to detect the situation of faces and objects during a given image. Face detection classifiers are shared by public communities
Segurança na Internet do Futuro: Provendo Confiança Distribuída através de Correntes de Blocos na Virtualização de Funções de Rede

The Book of Short Courses of the XXXVII Brazilian Symposium on Computer Networks and Distributed Systems (SBRC 2019) addresses current topics which are of interest to the community, such as blockchains, network virtualization, urban computing, packet processing, wireless networks, cryptography and data science. In the first chapter, entitled “Segurança na Internet do Futuro: Provendo Confiança Distribuída através de Correntes de Blocos na Virtualização de Funções de Rede” the authors discuss the fundamentals of blockchain, and relate these concepts to research challenges in security in new generation networks. In the second chapter, “Computação Urbana da Teoria à Prática: Fundamentos, Aplicações e Desafios”, the authors discuss the notion of Urban Computing, which correlates urban sensing, data management and its analysis to provide services with the potential to improve the quality of life of the inhabitants of large urban centers, and present the necessary steps to develop an application in this area. In the third chapter, “Processamento Rápido de Pacotes com eBPF e XDP”, the authors aim to present the Extended Berkeley Packet Filter (eBPF), which is used for the fast processing of network packets. In the fourth chapter, “Análise de Dados em Redes Sem Fio de Grande Porte: Processamento em Fluxo em Tempo Real, Tendências e Desafios”, the authors present the main methods of sampling, data collection and monitoring of wireless networks, and characterize knowledge extraction as a machine learning problem in processing large volumes of data. In the fifth chapter, “Introdução à Criptografia para Administradores de Sistemas com TLS, OpenSSL e Apache mod_ssl”, the authors address the use of cryptography by students and information technology professionals with little experience in security and encryption. In the sixth and final chapter, “Introdução à Ciência de Dados: Uma Visão Pragmática utilizando Python, Aplicações e Oportunidades em Redes de Computadores”, the authors present, using the Python language and specific libraries, the most used methods to manipulate and analyze data and extract information, applying them to solve problems in the area of computer networks. The six chapters comprehensively address current topics of the community, being a useful resource for researchers and professionals in the area of computer networks and distributed systems.
LibGuides: 2021 Summer Reading: 9th and 10th Grade

A guide for all Murrow students looking for inspiration for Summer Reading. This page contains the Summer Reading suggestions for 9th and 10th grade students
The Language Game Method in Increasing Vocabulary and Reading Skills of Students with Hearing Disabilities

Students with hearing disabilities normally have affect on language acquisition. The purpose of this study was to identify the effectiveness of a language game method that uses the Language Game Kit to improve vocabulary and reading skills of students with hearing disabilities. This experimental study, uses quantitative methods and cognitive learning theory. The Learning Model used was modified from Barrows Schmidt, Tan, Terry & Moore. A total of 20 students with hearing loss from a school were tested with the Reading Literacy Screening Instrument Screening 2 Year 1 2015. The samples were divided into control groups and experimental groups of 10 individuals each. Both groups were tested with pre- and post-test. Results were collected and analyzed statistic descriptively involving frequency, percentage and group differences. The results showed that there was an increase in vocabulary and reading skills from the experimental group. The findings of the study also found that there was an increase in reading ability at construct 11 and 12 of the Malaysia's Ministry of Education Reading Literacy Screening Instrument Screening 2 Year 1 2015. Overall, the use of the Language Teaching Kit can improve vocabulary and reading skills.
LibGuides: TechCentral MakerSpace: Home

This guide serves as an introduction to the TechCentral MakerSpace, at Cleveland Public Library's Main Library.
Blueprint: Elastic Sewing Needle / Nur Aqilah Baser … [et al.]

Needleistic Sdn. Bhd. is the company that produce sewing needle that have been upgraded to new product of sewing needle which is elastic sewing needle. The company was established in January 2020 and is a 100 percent of Bumiputera Company. Needleistic Sdn. Bhd. was conducting operation in Kota Bharu, Kelantan and owned equally and managed by four partners.The company look forward to produce the better quality elastic sewing needle based on modern technology and have high commercial value as well as expand to global business. The company constantly improve business reputation and perform tasks more efficiently and professionally to achieve the company objective.Needleistic was targeting to offers the best quality product of needle sewing and to meet the needs and taste of customers since this product was produce based on the problem that always faced by the customers. The company aims to dominate the market since this is the first design of upgraded the sewing needle that there is on the market.
AN ERROR ANALYSIS OF LANGUAGE USE IN WRITING RECOUNT PASSAGES CONDUCTED BY THE TENTH GRADE L2 LEARNERS

Writing is the most difficult one among four skills, since it requires more effort to produce meaning through writing rather than organized meaning through listening and reading. This study aims to analyze the error in reference to Dullay Taxonomy and find the origins of errors in reference to Richard in language use of recount passage at the tenth grades of SMAN 10 Banjarmasin in academic year 2018/2019. This study used a descriptive qualitative design. This study's subjects were the tenth grades L2 learners in SMAN 10 Banjarmasin, from two classes, X MIA 1 and X MIA 2. The sample of this study is 60 students. The data were gathered from students’ writing and interview. The test was held three times with three different topics. Afterwards, the data were collected, identified, then classified in reference to Dullay Surface Structure Taxonomy. The researcher and the L2 teacher analyzed the data. In reference to the outcome of all of three tests, it can be concluded that the L2 learners made all of errors in reference to Dullay Surface Structure Taxonomy such as: omission, misformation, addition, as well as misordering. In reference to the interview outcome of five students, the origins of errors that L2 learners made were found Interlingual Errors and Intralingual errors.
Popular Prediction with Information and Features

Social media platforms have democratized the process of web content creation allowing mere consumers to become creators and distributors of content. But this has also contributed to an explosive growth of information and has intensified the online competition for user’s attention, since only a small number of items become popular while the rest remain unknown. Understanding what makes one item more popular than another, observing its popularity dynamics, and being able to predict its popularity has thus attracted a lot of interest in the past few years. In this work, we are predicting popular places which are worth visiting, and unpopular places with their comments using machine learning algorithms, we have also integrated google maps to find nearby places, coffee shops, ATMs, malls etc. Predicting the popularity of web content is useful in many areas such as network dimensioning, online marketing or real-world outcome prediction.
The internet of Things game: Illuminating data interactions within the Internet of Things:Living in the Internet of Things, IoT 2019

This paper examines the use of game design as a way to aid developing a better understanding of complexity of data interactions which occur within the Internet of Things (IoT) amongst a non-technical audience. We present findings from the playing a game designed and themed around interactions within the IoT whereby players are introduced to its underlying operations and data flows through the procedural rhetoric of the game. The data associated with IoT interactions is often invisible and/or unintelligible to the general user and we therefore use the rhetoric presented through playing the game to foreground the complexity of both seen and unseen activities within IoT augmented spaces. This allows players to gain a greater understanding of the connection between the digital world which increasingly augments our physical world. © 2019 Institution of Engineering and Technology. All rights reserved.
Analisis Wacana Kritis Novel Genduk Duku Karya Y.B Mangunwijaya dan Relevansinya dengan Pembelajaran Literasi Sastra berbasis Gender di SMA

This study aims to analyze the novel Genduk Duku to find a position as a subject or object that experiences gender injustice and its relevance to gender-based literacy learning in high school. The research method used is a descriptive qualitative-critical linguistic method. The data techniques used were documentation, read, and record techniques. The data analysis technique used is the Sara Mills critical model analysis assisted by Mansour Fakih's theory of gender injustice with procedures, data reports, data classification, and data analysis. The results of the study found that the female characters in the novel, both the main character, Genduk Duku, and the supporting characters, Putri Arumardi and Tejarukmi, each took turns as actors who tell stories or who are told, all experience a form of gender, in terms of (a) marginalization, (b) subordination, (c) stereotyping, (d) verbal violence, (e) double burden in terms of women who work in the public sector and the domestic sector. This study can be integrated with gender-based literary literacy learning in high schools in terms of presenting a description of discourse that displays the practice of gender injustice and critical attitudes that students must take to change the practice of gender injustice.
Moreau-Yosida $f$-divergences

Variational representations of $f$-divergences are central to many machine learning algorithms, with Lipschitz constrained variants recently gaining attention. Inspired by this, we define the Moreau-Yosida approximation of $f$-divergences with respect to the Wasserstein-$1$ metric. The corresponding variational formulas provide a generalization of a number of recent results, novel special cases of interest and a relaxation of the hard Lipschitz constraint. Additionally, we prove that the so-called tight variational representation of $f$-divergences can be to be taken over the quotient space of Lipschitz functions, and give a characterization of functions achieving the supremum in the variational representation. On the practical side, we propose an algorithm to calculate the tight convex conjugate of $f$-divergences compatible with automatic differentiation frameworks. As an application of our results, we propose the Moreau-Yosida $f$-GAN, providing an implementation of the variational formulas for the Kullback-Leibler, reverse Kullback-Leibler, $\chi^2$, reverse $\chi^2$, squared Hellinger, Jensen-Shannon, Jeffreys, triangular discrimination and total variation divergences as GANs trained on CIFAR-10, leading to competitive results and a simple solution to the problem of uniqueness of the optimal critic.
Prediction of Business Trend Using Sentiment Analysis on Social Media’s Data

Social media has huge information and typically use for social interaction and accessto news, entertainment and opinion. Collected information is an important part of ourdaily life which can surveillance our daily activities such as ourselves, bathing,dressing, grooming, work, homemaking, and leisure. Daily we search what is new todayor scrolling website for new story. Sentiment analysis can understand what we want orwhat types of products we like. Then that company show us related advertisements.Sentiment analysis is a natural language process which can analyze text analysis,classification and identify our opinion. It can be possible machine learning algorithmor different types of natural languages processing classifier. Every post means a specialtheme and their post sentences have distinctive meaning.Each sentence describes positive, negative or neutral which express people in the socialmedia. We need to extract this opinion. Already many projects have been done in thisrelated field especially business, politics, sports, publications with machine learningapproaches. They have been done product review, popularity and decision making byusing their post, comment, hashtag etc. from social media. So, sentiment analysis isvery important for natural language processing.Current world business pattern and trend continuously changes. Businessman shouldupdate their business pattern or grow up new business which people like most. Peoplethrough opinion subconsciously new business trend or what their demand in the socialmedia. There are more than 3 billion people use social media that means 40% of peopleuse social media. Most of the people use Facebook, twitter to express their thoughts,opinions and blogging. It is very suitable to take data from social media and researchwith this data.
Functional Information System using Office Laravel Framework in BKPSDM Pekanbaru City

Functional Position Information System is an information system application that is indispensable in Pekanbaru City Personnel and Human Resources Development Agency. This information system has not been implemented so that it needs to be designed and developed to determine its success and effectiveness. This becomes something very interesting to be the object of research, using quantitative research methods and using primary and secondary data as samples. Primary data were taken from field surveys, namely carrying out observations, interviews, case studies of selected samples. Secondary data were taken from available data by carrying out a documentation study at the Pekanbaru City Personnel and Human Resources Development Agency as needed. The data obtained were then analyzed descriptively with the waterfall modeling method. The results of hypothesis testing indicate that the functional position information system has not yet been implemented as an effort to facilitate civil servants to obtain services and information related to functional positions. Hypothesis testing also shows that there is no difference in the acceptance of the information system based on the diversity of functional groups and the length of their service life. For this reason, every civil servant who holds a Functional Position is obliged to take care of a Decree application at the Human Resources Development Personnel Agency Office, abbreviated as BKPSDM Pekanbaru City and to facilitate this, is designed a system called the Functional Position Information System Using the framework Laravel so that the user can easily easy to understand and use the application in the form of a website.
PERANCANGAN APLIKASI BERBASIS ANDROID UNTUK PEMBELAJARAN TANGGA NADA DENGAN FRET GITAR

In playing guitar not only the basics must be learned to be a reliable guitarist, of course the need for regular training and the right learning process. To achieve all that, of course there are difficulty factors faced by the giataris, one of which is in the learning process scales. The learning process scales that may not have additional features, will be able to complicate the development of the user's ability to use musical instruments such as guitars. By doing so, a learning application for scales with a guitar fret is designed that is expected to be easy to learn and can make a guitarist's development in playing guitar increase. In this study the research design used was a clausal (Experimental) research design, namely writing, testing and testing of teaching devices designed by presenting the tone literature using the Android operating system. The system analysis technique used is object-oriented techniques with modeling the Unified Modeling Language (UML), which has the role of helping to describe the procedures and data flow contained in the designed application. This study resulted in a learning application scales with an Android-based fret guitar as a tool in the learning process. Thus, users can use this application and learn it until their abilities increase as expected. This application also provides additional features that help in the learning process of the scales. The conclusion obtained by the author is to produce a learning application with fret guitar scales equipped with additional features such as guidelines for stem guitars, finger gymnastics and guitar techniques, and the learning process of scales with fret guitar can be applied to Android-based smartphones. The advice that the author can give is to add training features to playing a complete guitar and the addition of the form of guitar techniques. Keywords: scale, guitarist, android, learning
Monitoring Quality of Life Indicators at Home from Sparse, and Low-Cost Sensor Data

Supporting older people, many of whom live with chronic conditions, cognitive and physical impairments to live independently at home is of increasing importance due to ageing demographicssss. To aid independent living at home, much effort is being directed at reliably detecting activities from sensor data to monitor people’s quality of life or to enhance self-management of their own health. Current efforts typically leverage large numbers of sensors to overcome challenges in the accurate detection of activities. In this work, we report on the results of machine learning models based on data collected with a small number of low-cost, off-the-shelf passive sensors that were retrofitted in real homes, some with more than a single occupant. Models were developed from sensor data to recognize activities of daily living, such as eating and dressing as well as meaningful activities, such as reading a book and socializing. We found that a Recurrent Neural Network was most accurate in recognizing activities. However, many activities remain difficult to detect, in particular meaningful activities, which are characterized by high levels of individual personalization.
LibGuides: Lima Primary Library: Home

Information about Lima Primary Library resources, databases, useful websites, and educational games.
How can Augmented Reality help bridge the gap between classroom and outside science learning for primary schools

Executive SummaryThis paper aims to explore the development and innovative uses of Augmented Reality (AR) in science primary education. One of the main advantages of using AR applications and platforms is the ability to display relevant digital information to support students’ learning in real time and through specific contexts. Augmented reality offers exciting opportunities to digitally interact in ways traditional methods cannot necessarily deliver. The literature review provides an overarching view of how augmented reality applications can offer new ways of learning sciences for young children.
LibGuides: Prison Librarianship: Overview

A repository for information about prison libraries, and about serving the incarcerated as a prison librarian