Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF PRE-SERVICE TEACHER PERCEPTIONS ON CREATING WEBQUEST AS ALTERNATIVE MEDIA TO TEACH ENGLISH

ABSTRACTYusuf, Riza. 2020. An Analysis of Pre-Service Teacher Perceptions on Creating WebQuest as Alternative Media to Teach English. Graduation Paper. English Education Department. Teacher Training and Education Faculty. Salatiga State Institute for Islamic Studies. Counselor: Miftachudin, S.Pd.I., M.A.This research is aimed to investigate pre-service teacher perception and their challenges on creating WebQuest as alternative media to teach English. Generally this research has two main questions such as (1) what are the pre-service teacher perceptions in creating Web-quest as alternative media to teach English? (2) what are the difficulties faced by pre-service teacher in creating Web-quest as alternative media to teach English?This research is qualitative research. The subject of this research were five pre-service teacher pre-service teacher batch 2015 who had already taken the institute internship program called ‘PPL (Praktik Pengalaman Lapangan). Questionnaire and interview were used to collect the data. The data was analyzed and interpreted trough qualitative research procedure. The findings indicated that most of pre-service teacher had positive perception toward WebQuest as media to teach English such as; WebQuest requiring pre-service teacher background knowledge, WebQues is affordable media, improving students reading skill, representing E-learning, etc. However, despite had positive perception toward WebQuest, pre-service teacher also encountering many difficulties in the process of creating WebQuest to teach English. The difficulties such as limited accesibiity toward devices and internet network connection, time comsumption in creating WebQuest, determining the design, material and sources or references, and insuficient competencies towad the implementation of ICT were founded in this researchKeywords: Pre-service Teacher, Perception, WebQuest, Challenges
Classification of Diffuse Lung Diseases Using Heterogeneous Ensemble Classifiers

Accurate classification of Diffuse Lung Diseases (DLD) plays a significant role in the identification of the lung pathology. Efficient classifiers based on various learning strategies have been proposed for multi class DLD classification. Due to imbalance in DLD class distribution the mis-classification probability of minority class is higher when compared to the majority class. To overcome the affects of imbalance in class distribution, the sampling approach is employed in the work, to balance the training set. It is observed that recognition rate of each DLD class is distinct based on the learning method adopted. Thus the complementary information offered by each classifier can be fused effectively to boost the classification performance. A heterogeneous ensemble classifier method based on weighted majority voting scheme is presented in this work to classify five DLD patterns imaged in High Resolution Computed Tomography (HRCT). The efficiency of the base and ensemble classifier is assessed based on recall, precision, F-measure and G-mean measure. By comparison it is found the results by ensemble of classifiers is superior than compared to its base classifiers.
LibGuides: Free Resources for Home Use: Streaming Videos & Virtual Tours

Free resources to keep yourself happy and busy while staying at home during the COVID-19 epidemic.
The Use of Social Media Analytics to Investigate Consumer Behavior and Build Marketing Strategies. Sentimental Analysis Used to Mitigate Risk Management during the COVID-19 Pandemic

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LibGuides: Dual Credit/Dual Enrollment Students:: Finding Articles

Welcome to the DSU Library Dual Credit/Dual Enrollment Research Guide! General information for referencing including examples for one, two, and three to seven authors.
Dynamic Target Detection and Tracking in Water for Mobile Robot Based on Deep Learning

Digital image processing is an important part of information perception of mobile robots. Unlike simple geometry, the shape of real objects is always irregular. An accurate and real-time dynamic image processing strategy for mobile robots based on deep learning is developed in this paper. To ensure the dynamic target in water always in the center of the mobile robot’s vision field, a target object detection strategy is designed according to the YOLO-V3 algorithm. 2279 pictures of the target object at different draught depths and different motion directions are collected to retrain the YOLO-V3 model. After testing, the accuracy of the model reaches 94.82%. Besides, considering the high accuracy and high efficiency of the Siamese network, SiamFC (a highly representative algorithm) is selected to support dynamic target tracking. An improved target tracking algorithm based on detection and supervision feedback is designed based on IOU (Intersection over Union) concept. Also, to guarantee the smooth motion of the mobile robot, a strategy of terrain information perception and obstacle terrain passing based on lidar scanning is designed. By analyzing the results of lidar scanning, the mobile robot can judge and avoid the obstacle terrains. The real-time and accuracy of each algorithm is verified by a comprehensive experiment of dynamic target search, detection, and tracking.
div2vec: Diversity-Emphasized Node Embedding.

Recently, the interest of graph representation learning has been rapidly increasing in recommender systems. However, most existing studies have focused on improving accuracy, but in real-world systems, the recommendation diversity should be considered as well to improve user experiences. In this paper, we propose the diversity-emphasized node embedding div2vec, which is a random walk-based unsupervised learning method like DeepWalk and node2vec. When generating random walks, DeepWalk and node2vec sample nodes of higher degree more and nodes of lower degree less. On the other hand, div2vec samples nodes with the probability inversely proportional to its degree so that every node can evenly belong to the collection of random walks. This strategy improves the diversity of recommendation models. Offline experiments on the MovieLens dataset showed that our new method improves the recommendation performance in terms of both accuracy and diversity. Moreover, we evaluated the proposed model on two real-world services, WATCHA and LINE Wallet Coupon, and observed the div2vec improves the recommendation quality by diversifying the system.
Foreign Language As A Scientific Support Of The Technological Advances Of The Modern World

Nadiia Diachok,Candidate of Pedagogical Science,teacher of theory and history of education Department Pedagogical Institute Borys Grinchenko Kyiv University,Ukraine
Delivering impact with digital resources: planning strategies in the attention economy

"Delivering impact with digital resources: planning strategies in the attention economy." Journal of Electronic Resources Librarianship, 32(4), p. 341
Logic Programming and Machine Ethics.

Transparency is a key requirement for ethical machines. Verified ethical behavior is not enough to establish justified trust in autonomous intelligent agents: it needs to be supported by the ability to explain decisions. Logic Programming (LP) has a great potential for developing such perspective ethical systems, as in fact logic rules are easily comprehensible by humans. Furthermore, LP is able to model causality, which is crucial for ethical decision making.
The language of the twenty-first century: Hashtags and emojis on Instagram

This work was written to enable everyone, novice or expert, to understand the craze for these two phenomena, their developments, and the principle of Instagram.
How To Turn Off Find My iPhone

In this blog post, I will explain what is find my iPhone and I will tell you how to turn off find my iPhone. Maybe you dislike this feature because you ...
Activity Detection of Untrimmed CCTV ATM Footage Using 3D Convolutional Neural Network

This paper presents an approach to temporal human activity detection using the proposal then classification framework, which is one of the frameworks for temporal activity detection. The goal of this research is to detect and recognize certain activities at the ATM. We propose an activity detection method using a 3D convolutional neural network (3D CNN). Our proposed method achieved performance with the accuracy score of 93.94%, a precision of 96.36%, a recall of 93.94%, and an f-score of 93.69%.
Employee Perspectives of Working Remotely During the COVID-19 Pandemic: Ministry of Education in the United Arab Emirates

The global outbreak of the COVID-19 pandemic has altered the way work is performed, shifting it from conventional offices into virtual environments.The United Arab Emirates (UAE) has attempted to face and embrace these challenges nationally in a supportive and coordinated manner, offering reasoned solutions with the wise vision and continuous support of its leadership.This paper examines the transition of work at one of the most influential entities in the UAE; the Ministry of Education (MOE).The purpose here is to highlight the impact of this transition on employees of all levels within the ministry.This paper evaluates the experience of remote working at the MOE from employees' perspectives by assessing the following key factors: MOE readiness, employee satisfaction, and employee productivity.For this purpose, a survey of around 1,500 employees was conducted and analyzed, where each of these three key factors was broken down into several contributing factors.This paper offers insights regarding the activation of remote working systems for employees in response to unanticipated incidents, highlighting a variety of factors which contribute to their readiness, satisfaction, and productivity.This study analyzes the value and originality of MOE remote working practices and their impact on the wider community.
ON SKILLS SET OF AN APPLICATION ARTIST IN ENVIRONMENT OF A NEW SOCIAL DEMAND

The paper outlines the author’s view on problems in teaching of application artists in the modern Russian higher education caused by today’s social, cultural and economic conditions and challenges. Reasons for unpreparedness of graduates of institutions of higher education to independent creative labor are called. A circle of knowledge and skills that are fundamental for a professional application artist-to-be are named in the article. It is shown that widened knowledge of visual skillfulness, technical aesthetics, methods and technologies of materials handling as well as developed artistic thinking and imagination help to create new images of the reality. Also, the paper reveals ways of building students’ professionally significant skills that are consists in wake-up task-oriented cognitive activities through life drawing, copying examples of folk art.
Sketch for traffic measurement: design, optimization, application and implementation.

Network measurement probes the underlying network to support upper-level decisions such as network management, network update, network maintenance, network defense and beyond. Due to the massive, speedy, unpredictable features of network flows, sketches are widely implemented in measurement nodes to record the frequency or estimate the cardinality of flows approximately. At their cores, sketches usually maintain one or multiple counter array(s), and relies on hash functions to select the counter(s) for each flow. Then the space-efficient sketches from the distributed measurement nodes are aggregated to provide statistics of the undergoing flows. Currently, tremendous redesigns and optimizations have been proposed to further improve the sketches for better network measurement performance. However, the existing reviews or surveys mainly focus on one particular aspect of measurement tasks. Researchers and engineers in the network measurement community desire an all-in-one survey which covers the whole processing pipeline of sketch-based network measurement. To this end, we present the first comprehensive survey in this area. We first introduce the preparation of flows for measurement, then detail the most recent investigations of design, aggregation, decoding, application and implementation of sketches for network measurement. To summary the existing efforts, we conduct an in-depth study of the existing literature, covering more than 80 sketch designs and optimization strategies. Furthermore, we conduct a comprehensive analysis and qualitative/quantitative comparison of the sketch designs. Finally, we highlight the open issues for future sketch-based network measurement research.
Deployment of Supervised Machine Learning and Deep Learning Algorithms in Biomedical Text Classification

Document classification is a prevalent task in natural language processing with broad applications in the biomedical domain, including biomedical literature indexing, automatic diagnosis codes assignment, tweets classification for public health topics, patient safety reports classification, etc. In recent years, the categorization of biomedical literature plays a vital role in biomedical engineering. Nevertheless, manual classification of biomedical papers published in every year into predefined categories becomes a cumbersome task. Hence, building an effective automatic document classification for biomedical databases emerges as a significant task among the scientific community. Hence, this chapter investigates the deployment of the state-of-the-art machine learning (ML) algorithms like decision tree, k-nearest neighborhood, Rocchio, ridge, passive–aggressive, multinomial naïve Bayes (NB), Bernoulli NB, support vector machine, and artificial neural network classifiers such as perceptron, random gradient descent, BPN in automatic classification of biomedical text documents on benchmark datasets like BioCreative Corpus III (BC3), Farm Ads, and TREC 2006 genetics Track. Finally, the performance of all the said constitutional classifiers are compared and evaluated by means of the well-defined metrics like accuracy, error rate, precision, recall, and f-measure.
IMPROVING STUDENTS’ READING COMPREHENSION BY USING PICTURE STORIES OF VIII GRADE AT MTS MADINATUL ILMI DDI SIAPO

This research is pre-experimental research design that aims to find whether or not the implementation of picture stories, and the test methot improve the student’ reading comprehansion of VIII grade at MTs Madinatul Ilmi DDI Siapo which consists of 28 students. In this research used on Pre-test and Pos-test. In the Pre-test was used to measure the students’ previous improving students’ reading comprehansion, the treatment were applaying materials Picrure Stories and the Post-test  was used find the students’ reading comprehansion after given treatment. The results of the test show that the student’ mean score in pre-test is (39.89)  while in the Post-test improved up to (76.71) the data of this research were analyzed by using SPSS program 16.0. computation of the data T-counted result is (12.825) weach means score was high than T-table result is (2.052). it means that the reading comprehansion of VIII grade at MTs Madinatul Ilmi DDI Siapo is improve  Key word :  Reading, Comprehansion,Picture Stories
Reasoning with belief functions

Belief functions are fascinating mathematical objects, but most of all they are useful tools designed to achieve a more natural, proper description of one’s uncertainty concerning the state of the external world.
What are the Problems with Implementing Blockchain Technology for Decentralized IoT Authentication : A Systematic Literature Review

The implementation of internet of things is plagued by problems such as security and scalability. It is a very heterogeneous environment and overcoming these hurdles is therefore not an easy feat. ...
Three Paper Thursday: Broken Hearts and Empty Wallets

Romance fraud (also known as romance scams or sweetheart swindles) affects millions of individuals globally each year. In 2019, the Internet Crime Complaint Centre (IC3) (USA) had over US$475 million reported lost to romance fraud. Similarly, in Australia, victims reported losing over $AUD80 million and British citizens reported over £50 million lost in 2018. Given the known under-reporting of fraud overall, and online fraud more specifically, these figures are likely to only be a minority of actual losses incurred. Romance fraud occurs when an offender uses the guise of a legitimate relationship to gain a financial advantage from their victim. It differs from a bad relationship, in that from the outset, the offender is using lies and deception to obtain monetary rewards from their partner. Romance fraud capitalises on the fact that a potential victim is looking to establish a relationship and exhibits an express desire to connect with someone. Offenders use this to initiate a connection and start to build strong levels of trust and rapport.
The Main Shock of Earthquake Detection Using Signal Processing

The earthquakes are catastrophic events that must be studied and predicted. In this research, signal processing based method is used to detect the location of earthquake and the main shock time. The correlation coefficients and the total correlation coefficients used to detect the earthquake time. The results show that the use of the correlation coefficients in general is effective to find the main shock. The correlation coefficient among six stations are given a higher accuracy of 100% than two stations only, the data took from Iraqi seismic monitoring stations for date 2017-2018
Guides: Internet Archive & the Wayback Machine: What is Internet Archive?

Information on using Internet Archive for research, leisure, and personal digital archiving.
Uvod v razpravo o varnosti v urbanih in ruralnih okoljih

Introductory Discussion on Safety and Security in Urban and Rural Environments: Conference Proceedings / 5th National Conference on Local Safety and Security. Conference proceedings comprise peer-reviewed papers presented at the 5th National conference on safety and security in local communities, which took place in Nova Gorica in November 2019. Safety and security in local communities remain the main topic of annual conferences, however, dichotomy between urban and rural safety and security was highlighted this year. Papers present the result of research within the framework of the research programme Safety and security in local communities – comparison of rural and urban environments, conducted at the Faculty of Criminal Justice and Security, University of Maribor. Papers focus on various aspects of safety and security in urban and rural local communities in Slovenia, namely on the regulation of the fundamental right to safety at the local level; cooperation between the police and local community in solving security problems; differences and comparison of crime and perception of security problems in local communities; and different perspectives on safety and security in local communities (self-protective measures of residents, corruption, cybersecurity).
Mobil Cihazlar için Uygulama Geliştirmekte Kullanılan Platformların ve Dillerin Karşılaştırılması

Nowadays, mobile devices are widely used. These devices use programs called mobile applications developed for different operations. Today, there are many platforms in the software industry that can be used to develop amateur or professional mobile applications. Various criteria need to be considered in the selection of these application development platforms. These; operating systems of mobile devices (Android, IOS, Microsoft, etc.), the software development language used on the platform (C, Swift, Java, etc.), the way the platform works (online or offline), whether the platform is paid or free. In this paper, more than fifty frameworks used in developing mobile applications, more than ten development platforms and editors are examined and learning opportunities, durations, advantages and disadvantages are compared. In addition, by making application designs at the beginning level using compared platforms it was tried to create a resource to guide people who starts mobile programming.
Searching for milk hares : Evaluating a web-based tool for location-based storytelling within cultural heritage

This report details an attempt to create an interactive Location-based storytelling-experience for mobile devices using QR-codes, and an investigation into the feasibility of such an approach. The ...
The Use of E-book in Online Learning during Covid-19 Pandemic: Students View Point

The Covid-19 pandemic which has paralyzed all sectors of life has certainly made almost all countries experience difficult conditions. The education system is one of the systems affected by the corona virus after the virus was declared an international disaster. Currently the education system uses an online learning system. In delivering material, several platforms are used to support learning. E-books or electronic books are one of the media used to assist students in carrying out learning. The purpose of this study was to investigate students' point of view in using e-books in online learning during a pandemic. In this study, researchers used a descriptive qualitative method with a questionnaire as a research instrument. The questionnaire instrument is used to make it easier for researchers to find the data. This study was attended by 63 participants from various study programs at the University of Tidar. As a result, there are 55,6 present of respondents said the e-book was quite effective and helped in learning activities. In addition, 95.2 present of respondents responded that the use of e-books would be effective if accompanied by other learning media.
The Development Of Self-Reflection In The Course Of Primary Schoolchildren’s Literary Education

This paper raises the problem of how to form the comprehensive ability to learn in the context of a literary education, for which the development of reflective skills is important. The authors present a detailed listing of the different types of self-reflection, along with its parameters, and note the significance of its formation at primary school age and the role that a literary education plays in this process. They describe original psycho-pedagogical research into the development of reflective skills in primary school children. The authors investigated self-reflection in all its aspects and discovered that they did not fully develop in the absence of well-targeted pedagogical efforts. Drawing on the sensitive nature of a younger school child’s psyche, the authors devised a pedagogical experiment which they carried out during lessons of literature reading. This educational experiment, which incorporated specially-chosen pedagogical techniques, revealed that it is possible to provide a meaningful dynamic in the establishment not only of the emotional aspects of self-reflection but of its other manifestations as well. This experimental pedagogical research into the conditions that lead to the development of multi-artistic contextual associations had one unexpected effect: the schoolchildren exhibited a marked feel for literary style, which was reflected in a highly developed aesthetic perception of a literary text, something that had previously been considered to be unattainable at primary school age. This proves that creative literary development is possible among children at this age when reflective methods are used with them to approach a work of fiction.