Reviewerly/exHarmony huggingface dataset:
PENERAPAN MODEL PEMBELAJARAN EKSPOSITORI DALAM MENINGKATKAN HASIL BELAJAR IPS SISWA KELAS VIII MTs NEGERI 4 BUTON SELATAN

The formulation of the problem in this study is can the application of the expository learning model improve social studies (IPS) learning outcomes of students of class VIII MTs Negeri 4 South Buton. The purpose of the study was to find out the application of the Expository learning model in improving IPS learning outcomes of grade VIII students of MTs 4 South Buton. This study uses a type of classroom action research (CAR). The subjects in this study are students of grade VIII MTs 4 South Buton, amounting to 24 students. Data collection technique in this study is observational method. Based on the results of the study, it was obtained: 1) in the first cycle student learning activities only reached 61% and experienced an increase in the second cycle to 84% .2) in the first cycle the teacher's activity only reached 75% and experienced an increase in the second cycle to 95%. 3) Student learning outcomes in IPS subjects in grade VIII MTs 4 South Buton. In the first cycle student learning outcomes only reached 61.04% and experienced an increase in the second cycle to 76.66% . Keywords: Expository Learning Model, IPS Learning Outcomes
LibGuides: Library Support for Faculty: Resources for Teaching Online

This guide provides information about WSU Library resources for instructional use in the classroom, online courses, and Blackboard
Types and Roles of Models in Adaptive Architecture

If adaptive architecture is both, a techno-spatial environment and a set of environmental behaviors and practices, its design requires the collaboration of diverse disciplines.During the process of collaboratively developing an adaptive high-rise, models turn out to be the central medium in the multidisciplinary teamwork.They contribute to disciplinary questions of development and realization; they also generate and transfer knowledge and act as translators by facilitating exchange and cooperation between disciplines.The present study examines tasks and relations from the first design model to different functional models for the adaptive high-rise.It shows the initial architectural model as an overall role model and vision.While functional models perform isolated dynamic tasks, analytical models are used for review and discussion.
Characterization of Google Home Traffic in a Home Network

IoT devices are currently getting into our everyday life. However, most of the people are not aware of the information that is being shared by these devices on the Internet, or how do they impact their home network. We used a software-defined network within a real home environment to collect, analyze and characterize the traffic generated by Google Home. We used the Zodiac FX switch, a low-cost OpenFlow-compliant switch. After the data collection and analysis, we characterize Google Home’s behavior to provide insight on traffic behaviour, bandwidth consumption and commonly used protocols. Our results confirm what recent studies have indicated: a network provider can easily identify the presence of a Google Home in the network and can identify whether or not the device is being used. Thus, we propose how to leverage a low-cost SDN home network to reduce the amount of private information that is leaked to the service provider.
LibGuides: 360 Content at the Digital Scholarship Lab: Creating web pages for the 360

This guide will go over the basics of creating video and photography for the 360 in the Digital Scholarship Lab. It will touch on shooting video, editing, and screening content in the 360.
LibGuides: COVID-19 Resource Guide for Students: Online Entertainment

Fun and helpful resources aimed to assist those in home quarantine during the coronavirus pandemic of 2020
Research Guides: Downloading e-books from the library collection: Downloading e-books from EBSCO Ebooks

This guide provides instructions on how you can download e-books in the library collection from several different platforms.
STUDENTS’ VOCABULARY MASTERY IN NARRATIVE TEXT: AN ANALYSIS STUDY

This research aimed to know students’ vocabulary mastery. The form of this study is descriptive qualitative research. This research intended to find out students’ vocabulary mastery in narrative text. The subject of the study was the 8th grade of SMP Hang Tuah Tanjungpinang. The technique that the researcher used is descriptive analysis technique. During this research the researcher also attempts to investigate students’ vocabulary mastery. The fill in the blank test, the test used as additional instrument. Based on the result, the students categorized into average to good level. It can be seen from the mean score of the students was 62 from 20 students.
Novel Methods For Determining QoS Parameters and Thresholds in End user’s Service Level Agreement

Service level agreement (SLA) is a powerful tool to formalize the negotiation and agreement between the service provider and service seeker with the scope of service quality characteristics, compensations and tariffs. The service quality description is one the main parts of a SLA which can be characterized by the use of suitable and feasible quality of service (QoS) parameters. Determining suitable QoSparameters is the most important step in SLA codification. In this paper, we propose a novel method for determining the most related QoS parameters for characterizing the service quality in a SLA. The proposed method is a step-by-step algorithm which is based on selecting feasible parameters among a general initial list obtained from international references. The criteria for feasibility are perceivability and measurability from the end user’s viewpoint. Our method is general and can be applied to each service. We also leverage on clustering algorithm to prioritize the feasible QoS parameters according to their popularity in international studies. Finally, we propose a statistical method to determine the threshold for the feasible parameters. We provide an interval for each threshold. We show the steps of our proposed methods via a case study as the final part of the paper.
RETRACTED: Application of Neural Network Machine Translation in College Translation Teaching

This article has been retracted by the authors.
Research Guides: Electronic Resources at The Evergreen State College Library: Digital Collections & Archives

This guide aims to bring together all the electronic resources (e-books, e-journals, databases, streaming media) and digital content available through The Evergreen State College Library. This page aims to bring together all the various digital collections available through The Evergreen State College Library and Archives.
Does Foreign Aid Impact the Development of Private Entrepreneurship in Cameroon?

This paper observes that the effect of foreign aid on private entrepreneurship is controversial.To this end, it assesses the effect of foreign aid on private entrepreneurship development in Cameroon amongst other factors.Data was obtained from the World Bank Development Indicators (WDI) for the period 1980 to 2014.The error correction technique was used to estimate the parameters of private entrepreneurship development in Cameroon.The result showed that there is a positive and significant effect of foreign aid on private entrepreneurship in Cameroon in the long run.In addition, private entrepreneurship was found to increase with increase in real gross domestic product both in the short and long run.Government investment impacted negatively private entrepreneurship in the short and in the long run in Cameroon.From a policy perspective, an important conclusion is that government authorities should improve on the efficiency of foreign aid in order to reduce the lag time this aid takes to exert a significant effect on entrepreneurship development in Cameroon.
Generation of context dependent sequences by multiple-timescale neural network through successive bifurcations

The generation of robust sequential patterns that depend flexibly on the previous history of inputs and outputs is essential to temporal information processing with working memory in our neural system. We propose a neural network with two timescales, in which a sequence of fixed points of the fast dynamics is generated through bifurcations by slow dynamics as a control parameter. By adopting a simple, biologically plausible learning rule, the neural network can recall a complex context-dependent sequence. Considering multiple timescales experimentally observed in cortical areas, this study provides a general scheme to temporal processing in the brain.
AN ANALYSIS ON ENGLISH TEACHER'S TEACHING TECHNIQUES IN TEACHING WRITING SKILL AT SMA NEGERI 3 TANJUNGPINANG IN ACADEMIC YEAR 2019/2020

Teaching techniques are very important in supporting the success of a learning process. the purpose of this research is to find out what techniques are used by English teachers in teaching writing skills. This research uses qualitative research. This research was conducted on 6-7 January 2020. The subjects in this study were English language teachers at SMA Negeri 3 Tanjungpinang. Data collection techniques are teaching observation and interviews. Data analysis techniques using Miles and Heuberman, The first step is data reduction, data display, drawing conclusions and data verification. The results of this study indicate that the most effective techniques used by teachers in teaching writing are drawing and control writing. With pictures students are easy to express what comes to their mind, and the teacher frees students to write according to how they feel
Virtual Reality Progress and Interventions in Clinical Psychology

This paper presents an overview of the advances in the use of Virtual Reality (VR) as a technological tool that has been incorporated into the research and intervention in clinical psychology. The contributions of VR in the clinical intervention of anxiety disorders and eating disorders are characterized, as well as the possibilities it offers for the investigation of phenomena such as psychosis or the configuration of complex systems that allow different therapeutic functions such as the EMMA system. Finally, the usefulness and possibilities offered by VR systems are discussed.
Intelligent Modulation Recognition Based on Neural Networks with Sparse Filtering

To overcome the disadvantage that the feature extraction in traditional automated modulation recognition is heavily dependent on manual experience, this paper proposes an intelligent modulation recognition algorithm for communication signals, which is based on antinoise processing and sparse filtering convolutional neural network (AN-SF-CNN). The cyclic spectra of modulated signals are calculated, then low-rank representation is performed on cyclic spectra to reduce noises and disturbances existed in signals. After that, before fine-tuning the convolutional neural network, we propose a sparse filtering criterion to conduct the unsupervised pre-train of the network layer-by-layer, so as to improve the generalization performance effectively. Simulation results demonstrate that the average correct classification rate of proposed method can even reach to 94.2% when the signal to noise ratio is 0 dB, it is superior to traditional methods and some popular deep learning methods.
LibGuides: Guide for MAC Students: Home

This guide provides students in the MAC program with a description of how to use library resources and services. Welcome! Here, view the Student Handbook distributed at orientation.
Guides: Online Library Resources and Services: Books

Guide to online Library services and research resources available to students during WCC campus closure
R.A.D.A.R. Method

The ultimate goal for our multi-disciplinary team is to be able to evaluate fast and reliably the learning and reading efficiency of a reader using qu
Institutionalization of Expert Activities in Education of the Cross-Border Region

The globalization and regionalization of education cause the international harmonization of educational systems in a cross-border region that implies the institutionalization of expert activities. The purpose of the article is to present the results of theoretical and empirical studies of the problem of the development of expert activities in the context of the institutionalization of promoting the independent assessment of the quality of education in a cross-border region (Russia, China, and Kazakhstan). The study was conducted with the use of the methods of forecasting, analysis, monitoring, and foresight including expert assessment methods for identifying technological breakthroughs that could have an impact on the economy and society in the medium and long term. The practical implementation of the project is connected with measures to create an expert space in the cross-border region, substantiate the essence of expertise, the expediency of institutionalizing expert activities in the education of the cross-border region and the possibilities of the developed cluster-network multiplicative model of expert activities in education of the cross-border region.
Noise Robustness of Convolutional Autoencoders and Neural Networks for LPI Radar Classification

This study evaluates noise robustness of convolutional autoencoders and neural networks for classification of Low Probability of Intercept (LPI) radar modulation type. Specifically, a number of dif ...
11 Things You Didn’t Know Your Android Phone Could Do

You may have had your Android phone for a while, or it may be a brand new acquisition – but do you know all the cool things your phone is capable ...
LibGuides: Using Permalinks Guide: Home

This guide is meant to explain why and how to use permalinks for the catalog and high use databases.
The ideal of whole knowledge as a principle of the organization of science and society: a glance at 4338 from the beginning of the XXI century

The paper analyzes the model of the scientific activity and social order organization, presented in the unfinished novel by V. F. Odoevskij «4338: St. Petersburg’ letters». It is shown that the novel has a futurological character and futurological success. The methodological principles articulated by Odoevskij are analyzed in detail, it is shown how these principles allow anticipating the general direction of development of organizational forms of scientific activity, some conceptual shifts in understanding the essence of scientific knowledge, as well as several social innovations. The author compares Odoevskij's methods of anticipating the future and methodological tools, used by classical futurology, on one hand, and Futures studies — on the other. It is proved that since Odoevskij constructs his futurological scenario in response to the contradictions in the development of modern science and modern society revealed by him earlier, this scenario has not only a prognostic, but also a utopian value — as an ideal model of the structure of science as a cognitive activity and as a social institution, which is capable to give fruitful principles of the organization of society as a whole.
El contenido esencial para infografía en el proceso de enseñanza de las Telecomunicaciones

The art of teaching a composition through short texts, graphics and interrelated images, synthesizing content and making complex information easily understandable, is the main function of didactic infographics in Telecommunications Engineering. In this research, the use of monothematic infographics of the teaching content in the pedagogical process of the Telecommunications Engineering Degree is exposed, particularly in the subjects of Radio Communication Systems I and II during the 2019-2020 course of the Universidad de Oriente, based on the correlated analysis of the program of the subjects to establish a method in the selection of the sub themes and the essential content of these that systematizes the design of the infographic.
Library: Remote Teaching Resources: Home

Take advantage of library resources in your online courses and work with librarians to make content available to your students.
LibGuides: Marketing Research And Planning For Your Business: MARKETING: AN INTRODUCTION

A guide introducing you to the basics of marketing and recommending which databases to use for effective research results.
Asahi Pentax Digital Spotmeter What You Need to Know

The Asahi Pentax Digital Spotmeter has remained a popular choice since Ansel Adams popularized them with his zone system. He also used the previous ...
LibGuides: eBooks: Access eBooks

Finding and reading eBooks at University of South Wales Mae'r canllaw hon hefyd ar gael yn Gymraeg How to access eBooks
Mixing Music Using Deep Reinforcement Learning

Deep Reinforcement Learning has recently seen good results in tasks such as board games, computer games and the control of autonomous vehicles. Stateof-the-art autonomous DJ-systems generating mixe ...
Bipartite dot product graphs

Given a bipartite graph G=(X,Y,E), the bipartite dot product representation of G is a function f:X∪Y→Rk and a positive threshold t such that for any x∈X and y∈Y, xy∈E if and only if f(x)⋅f(y)≥t. The minimum k such that a bipartite dot product representation exists for G is the bipartite dot product dimension of G, denoted bdp(G). We will show that such representations exist for all bipartite graphs as well as give an upper bound for the bipartite dot product dimension of any graph. We will also characterize the bipartite graphs of bipartite dot product dimension 1 by their forbidden subgraphs.
Library: Remote Access: Remote Access

Use library databases and electronic resources off campus with your Daemen OneLogin credentials.
A DESCRIPTION OF MORAL VALUES IN JK ROWLING’S NOVEL HARRY POTTER AND PRISONER OF AZKABAN AND THEIR APPLICATION TO INDONESIAN MORALITY EDUCATION

The research aims to find out the moral value in novel and their application to Indonesia morality education. The object of this research is a novel with title Harry Potter and Prisoner of azkaban by JK Rowling. This research was using qualitative as the methodology and the data was collected by checklist data sheet as an instrument. The checklist consisted of 21 items which represent the moral value base on its types. This research uses Linda theory. The result of data analysis shows that there are 89 item moral value in the novel and all value can be application in indonesia morality by using 5 value from Character Education in K13.From the results, it is concluded that people in a novel always bring some value which related to education and teacher need to know how to use it.
Model of Development of Professional Preparedness of Primary School Future Teachers to the Use of ICT in the Inclusive Educational Environment

Today, in the age of information technologies, educational process can be significantly improved by means of different information and communication technology (ICT) tools, which opens up a whole new range of opportunities for teaching and learning. Particularly important is the organization of accessible information-educational environment for students with special educational needs. Development of new forms and methods of individualized training helping to adapt such students to the educational process and achieve better learning results draws increasing attention among educators. The article examines the characteristics of training of future teachers on efficient use of ICT in the inclusive educational process and presents a model of the curriculum “Possible application of ICT in inclusive education” for students majoring in “Primary Education Teacher”.
LibGuides: 2019-2020 Reading Challenge Nominees: Sasquatch Award

Students in grades 3-8 can earn a free book at the last book fair by meeting the challenge: 3rd Grade - 6 books 4th Grade - 7 books 5th Grade - 8 books 6-8th Grade - 10 books (and other conditions ;))
Discovering Knowledge Graph Schema from Short Natural Language Text via Dialog

We study the problem of schema discovery for knowledge graphs. We propose a solution where an agent engages in multi-turn dialog with an expert for this purpose. Each mini-dialog focuses on a short natural language statement, and looks to elicit the expert’s desired schema-based interpretation of that statement, taking into account possible augmentations to the schema. The overall schema evolves by performing dialog over a collection of such statements. We take into account the probability that the expert does not respond to a query, and model this probability as a function of the complexity of the query. For such mini-dialogs with response uncertainty, we propose a dialog strategy that looks to elicit the schema over as short a dialog as possible. By combining the notion of uncertainty sampling from active learning with generalized binary search, the strategy asks the query with the highest expected reduction of entropy. We show that this significantly reduces dialog complexity while engaging the expert in meaningful dialog.
THE CONJUNCTION ADAPUN IN THE INDONESIAN LANGUAGE

This study aimed to describe the function and the meaning of adapun in Indonesia and also the appropriate sentence structure of adapun. This writing uses a qualitative method with descriptive data and extended examples, based on the empirical facts or phenomena that are relevant to the lives of the users, and discussion. Data collection is done by note taking (library research) - gathering research data. Data sources are derived from print media, scientific writing, and textbooks. We conclude that the function of adapun has a close linkage with the above-mentioned conjunction. The meanings of adapun were: (1) adding information and explaining the previous sentence, (2) usher in the parsing, (3) stating something different but in the same domain, and (4) stating further information. Most of the predicates that contain adapun include the word adalah (“there is/are”), so in large measure, the context is regarded as stating a definition. In general, the sentence pattern that contains adapun is a simple sentence with the subject that is generally in the form of long phrases and the pattern is S-P-O-A.&#x0D;
Combinatorics with Copula for Code based Post-Quantum Cryptography.

Codes have been proposed as useful tools in designing cryptosystem that are safe against quantum computing. Despite the large public key size, decryption failure rate and attacks on its constructed trapdoors have been impediments to not only to its standardization but its eventual deployment in communication. The successful attacks on its trapdoors are due to the high probability in decoding codewords into syndromes of low rank through combinatoric schemes such as Decoding with Index/Information sets from Grassmannian support proposed in literature. Decoding with Marginals/Belief propagation especially with Raptor codes has not been exploited fully in post quantum cryptography which this paper has done with new results. The introduction of Grassmannian support during information set decoding, leads us to explore the concatenation of bipartite graph with Grassmannian graph into boundary measurement graphs which is novel. Finally, we transform conditional probability function into Copula for dependency and estimation of the marginal using iterative expectation-maximization approach. Results obtained from simulation shows that the proposed method performs slightly better than the index set method at step wise increase in constellation which signifies a robust decryption method.
Online abuse in the political realm : A comparative study of abusive Tweets against German MPs

Online abuse is a phenomenon that has been widely studied in the context of individuals and activists. Very little scholarly attention has been paid to its occurrence among politicians, even though ...