Reviewerly/exHarmony huggingface dataset:
Beyond Zooming there: Understanding nonverbal interaction online

ABSTRACT Social distancing has shifted us towards virtual platforms, inducing us to engage in video-conferencing at overwhelming rates. Yet, recognizing subtle nonverbal signals in these contexts — being aware of how our actions are presented, and building empathy through video-conferencing — proves challenging as ambiguity increases. We show evidence that unexplained nonverbal actions in online platforms evoke more negative affect than those same actions when their reason is known. Further, through pilots we show that unmanaged nonverbal interaction in video-conferencing can evoke hostile attribution bias. We posit that surfacing rationales behind nonverbal actions will increase empathy and richness in video-conferencing and other online interactions crucial to the future of work. Widespread increases in remote work has amplified the prevalence of these challenges, motivating further study of nonverbal actions online and their consideration in CSCW system designs. Keywords nonverbal interaction, empathy, teleconference, video chat ABOUT THE AUTHOR/S SO YEON PARK Stanford University syjpark@stanford.edu So Yeon (syjpark.com) is a PhD candidate at Stanford. She investigates design affordances for collaborative online systems with the belief that design can shape collaboration behaviors to help people work better together. MARK E. WHITING University of Pennsylvania markew@seas.upenn.edu Mark (whiting.me) is a postdoc with Duncan Watts in both CIS in Engineering, OID at Wharton at U Penn. He holds degrees in Industrial Design from RMIT and KAIST, a PhD in Mechanical Engineering from CMU, and a previous postdoc in HCI from Stanford. New Future of Work 2020, August 3–5, 2020 © 2020 Copyright held by the owner/author(s).
INCREASING STUDENTS’ VOCABULARY OF SEVENTH GRADE AT SMP N 1 GALANG THROUGH HANGMAN GAMES

The objective of the research is to prove whether the use of hangman games effective in increasing  students’ . This  pre-experimental study use 22 students as a sample. They are grade VII d of SMP N 1Galang . The procedure of this research consists of pretest, treatment, and posttest. The result It can be seen by the difference of the mean score between pre-test and post-test. The mean score of pre-test is 56.72 while in the post-test improved up to 90.64. The data of this research are analyzed by using SPSS Program version 16.0. Then the data of both tests are analyzed by using T-test, and the result shows that the T-test value 9.681 is high than T-table value 2.080. It can be inferred that hangman   games   is very effective to improve students’   vocabulary. Keywords: increasing , vocabulary, Hangman games
INFLUENCE OF COMPUTER AND INTERNET TECHNOLOGIES ON PROFESSIONAL AND SOFT SKILLS DEVELOPMENT OF THE MODERN YOUTH

INFLUENCE OF COMPUTER AND INTERNET TECHNOLOGIES ON PROFESSIONAL AND SOFT SKILLS DEVELOPMENT OF THE MODERN YOUTH
DEVELOPMENT OF TRANSVERSAL SKILLS IN UNIVERSITY STUDENTS THROUGH EDUCATIONAL ACCOMPANIMENT

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 6716-6720ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1747Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
MR brain image segmentation using elite kinetic-molecular theory optimisation algorithm

This paper explores the use of the elite kinetic-molecular theory optimisation algorithm (EKMTOA) to compute threshold selection for MR brain image segmentation. EKMTOA is inspired by learning and collaboration among the elites individual. To solve the limitation of Otsu method based on projection of cross section that single threshold segmentation. Firstly, this paper proposes a multi-threshold cross section projection Otsu method. Secondly, adopt the post-processing strategy to further improve anti-noise capability. Finally, the EKMTOA is used to optimise the objective function, find the best segmentation threshold of the MR brain image. Experimental results demonstrate over multiple brain image with different of noise validate the efficiency of the proposed technique with regard to segmentation accuracy, anti-noise capability and robustness.
TECHNOLOGY INTEGRATION AND STUDENT TEACHERS' CONCEPTIONS ABOUT THE ROLE OF DIGITAL RESOURCES IN THE CHILEAN PRIMARY CLASSROOMS: ARE THEY TRAINED TO SHIFT TO NEW TEACHING PRACTICES?

TECHNOLOGY INTEGRATION AND STUDENT TEACHERS' CONCEPTIONS ABOUT THE ROLE OF DIGITAL RESOURCES IN THE CHILEAN PRIMARY CLASSROOMS: ARE THEY TRAINED TO SHIFT TO NEW TEACHING PRACTICES?
Student Zone

Since 2006, the SEG Challenge Bowl has brought students together from universities all over the world to compare geoscience and SEG knowledge in a contest of wit and speed.
CONCEPT OF DEVELOPMENT OF SELECTED AREAS OF DIGITAL COMPETENCES IN SELECTED EDUCATIONAL FIELDS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 5748-5751ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1501Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
FACEBOOK AND BULGARIAN LIBRARIES: THE CHALLENGES OF MODERN INFORMATION ENVIRONMENT

P. Mukanova, S. Eftimova, K. MinchevaUniversity of Library Studies and Information Technologies (BULGARIA)
PRODUCTIVE TEACHING OF FUTURE PHYSICS AND MATHEMATICS TEACHERS IN A DIGITAL EDUCATIONAL ENVIRONMENT

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 6491-6499ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1700Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Professional And Speech Communication In The Pedagogical Activity Of A University Teacher

Science and education belong to those social institutions in which the weight of highly professional intellectual work is particularly high and where the quality of scientific and pedagogical personnel is objectively crucial. University teachers are one of the main socio-professional groups that are assigned two important and interrelated tasks by the society: - preservation and enhancement of the cultural (in the broad sense of the word) heritage of society and civilization as a whole; - socialization of the individual at a crucial stage of its formation, associated with obtaining professional training that requires higher education.
LibGuides: LibCal Outlook Integration: Appointment Statistics

This guide will describe how to integrate your outlook calendar with LibCal allowing you to create an way to schedule appointments through your profile in any Lib-Application.
DESIGN, USAGE AND IMPLEMENTATION OF AN AUGMENTED REALITY-BASED APP DESIGNED TO TRAIN SPATIAL SKILLS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 7074-7080ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1824Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Accurate Evaluation of Solar Irradiation of a Satellite Dataset Under Ground Measurements

This paper evaluates the direct normal irradiation under Oujda climate. To achieve this investigation, firstly, we compared DNI data obtained from the satellite-based irradiance data in Copernicus Atmosphere Monitoring Service (CAMS) to those recorded by the meteorological station located at a roof of the Oujda University (Morocco) from January 2015 to April 2017. CAMS data are accessible via SoDa Service website. The evaluation relies on a comparison of hourly, daily and monthly irradiation and the performance of CAMS is given by calculating classical statistical performance indicators. As a result, this satellite dataset exhibits satisfactory performances with almost great correlations. Secondly, we studied the impact of different atmospheric components, namely cloud parameters (clear sky index and cloud coverage), aerosols and water vapor on the DNI error issued by CAMS under the same climate and during the same measurement period. Therefore, correlations between these atmospheric parameters and CAMS error are carried out and results show that cloud is the first important factor affecting the solar irradiance derivation, followed by aerosols then the water vapor.
FORMATION OF COMPETENCIES FOR DIGITAL ECONOMY AT SCHOOL: EXPERIENCE OF RUSSIA

1 Ural Federal University, (RUSSIAN FEDERATION)2 Institute of Educational Development of Perm Region (RUSSIAN FEDERATION)
An investigation of classification and comparison of R tree construction algorithms with A Set of R* and R+ trees

Given the growth of the internet network and the importance of the quality of different services that must be provided to users by several networks, packet classification is receiving increasing attention as one of the main and sensitive requirements of the network. Such that for the most services provided by the network, the routers must perform the classification with high speed and low memory usage. Packet classification enables the routers to provide modern network services. The classification is performed geometrically in R-tree. The main theory of the spatial index which considered as the most important theory of inquiry is the calculation of proximity theory. The most famous index structure is called the R-tree. The main strategy for R-tree is to collect multidimensional spatial nodes with a minimum boundary rectangle (MBR) that is the smallest inner spatial node of the rectangle. After indexing, the optimization of retrieving information from a spatial database has great importance. Hence for more discussion, a new spatial index belonged to the R + tree family called R ++ tree is investigated in this paper which maintains the overlap of the nodes. The results show that the suggested R + tree outperforms the R + tree in domains of queries, KNN queries, and Top-k queries.
Angle-Based Feature Extraction Method for Fingers of Hand Gesture Recognition

In this paper, two types of features ‘angle’ feature and $$Finger\_{Tips}$$ distance feature extraction methods for gestures of finger recognition are proposed. The entire image is segmented into several spatial modules and the task of feature extraction is carried out on finger of the hand images. Application of this method is extended to medical systems, sign languages for hearing-impaired people, crisis management and disaster relief, entertainment and human- -robot interaction. This method is tested on medial axis transformation (MAT) image and it does not require any gloves for recognition. This feature extraction algorithm has an advantage of very low feature dimension.
Library Guides: "Imagine Your Story" E-Booklists: Home

This libguide contains E-booklists, resources, and activities for 2020 Summer Reading Imagine Your Story. The books are arranged by age groups.
STUDENTS’ BEHAVIOURAL INTENTION TO USE MOBILE DEVICE FOR LEARNING AT HOME IN TIMES OF COVID-19

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 7754-7763ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1958Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
EMERGING MOBILE AND TABLET TECHNOLOGIES IN EDUCATION: ACCESS TO LIBRARY SERVICES AND RESOURCES

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 681-690ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.0261Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Efficient Urdu Caption Generation using Attention based LSTMs.

Recent advancements in deep learning have created many opportunities to solve real-world problems that remained unsolved for more than a decade. Automatic caption generation is a major research field, and the research community has done a lot of work on it in most common languages like English. Urdu is the national language of Pakistan and also much spoken and understood in the sub-continent region of Pakistan-India, and yet no work has been done for Urdu language caption generation. Our research aims to fill this gap by developing an attention-based deep learning model using techniques of sequence modeling specialized for the Urdu language. We have prepared a dataset in the Urdu language by translating a subset of the Flickr8k dataset containing 700 'man' images. We evaluate our proposed technique on this dataset and show that it can achieve a BLEU score of 0.83 in the Urdu language. We improve on the previous state-of-the-art by using better CNN architectures and optimization techniques. Furthermore, we provide a discussion on how the generated captions can be made correct grammar-wise.
RESEARCH OF CONTEMPORARY EDUCATIONAL PROGRAMS OF CULTURAL INSTITUTIONS IN BULGARIA: NEW RESEARCH PROJECT

RESEARCH OF CONTEMPORARY EDUCATIONAL PROGRAMS OF CULTURAL INSTITUTIONS IN BULGARIA: NEW RESEARCH PROJECT
LibGuides@Southampton: DATABASE ORIENTATION: Introduction: Home Page

A guide to understanding and using the university's databases Introduction to Databases Programme
Spreadsheet Usability Testing in Nielsen’s Model among Users of ITSMEs to Improve Company Performance

The use of a spreadsheet application is one of the applications that must be used by SMEs in conducting financial and stock calculations. The level of usage is getting higher, along with the development of the use of the application. Usability testing is done to determine the level of use of spreadsheet users so that it is known how much the level of Learnability, Efficiency, Memorability, Errors, and Satisfaction. The index value obtained will give an idea of how much ability the user has in using the spreadsheet application. This research is a quantitative study involving a range of 119 respondents from interested parties in the use of spreadsheets at the MSME. Data was analyzed using the PLS-SEM method using SmartPLS 3.0 software. The results obtained show that there are four hypotheses that were rejected and one hypothesis that was accepted.
MENDETEKSI PENGGUNAAN NARKOBA MENGGUNAKAN METODE CERTAINT FACTOR

Narcotics stands for Narcotics, Psychotropic and other addictive substances. The head of the National Narcotics Agency (BNN) commissioner Heru Winarto 2019 said the abuse of narcotics among adolescents increased by 24-28% of adolescents who used drugs. In the drug user is eager to improve themselves to a better way and away from drugs. This is what underlies the need for an expert system application to diagnose the stages of drug users. This is what underlies the need for an expert system application to diagnose the stages of drug users. The method of intervention used by the author to diagnose the stages of drug users is the Certainty Factor method that uses a level of certainty used by experts to describe the level of confidence of a problem by bringing up the presentation. In this expert system application is expected to have facilities that can help users to find out at what stage the user is using drugs so that they can prevent drug users from continuing to use excessive or continuous.Keywords: Drugs, Expert System, Certainty Factor Method
Automated segmentation of nucleus, cytoplasm, and background of pap-smear images using a trainable pixel level classifier

Cervical most cancers ranks because the fourth maximum familiar cancer affecting ladies worldwide and its early detection offers the possibility to assist save a life. Automated prognosis and class of cervical cancer from pap-smear pics has turn out to be a necessity as it enables accurate, dependable and timely analysis of the condition’s progress. Segmentation is a fundamental component of enabling a success computerized pap-smear photo evaluation. In this paper, a potent set of rules for segmentation of the pap-smear image into the nucleus, cytoplasm, and heritage the use of pixel level statistics is proposed.
STUDY OF THE IMPACT OF DIGITAL LITERACY IN PRIMARY EDUCATION CONTEXTS: DIAGNOSIS AND EVALUATION

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 6063-6070ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1590Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Economic development: What everyone needs to know

Economic development aims to advance well-being among citizens. It covers a wide range of topics, for instance, health, education, and political participation. Economic Development: What Everyone N...
INCLUSION OF COLLABORATIVE TOOLS SUCH AS DIGITAL COMPETENCE IN UNIVERSITY STUDENTS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 8501-8504ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.2089Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Collaborative Exploration of Unknown Terrain Utilizing Real-Time Kinematic Positioning

Unmanned autonomous vehicles, airborne or terrestrial, can be used to solve many varying tasks in vastly different environments. This thesis describes a proposed collaboration between two types of ...
Consciousness In Learning Foreign Languages And Psychological Peculiarities Of Learning Process

This article is based on an analysis of the current state of the problem of studying and mastering foreign languages, as well as a detailed review of domestic and foreign literature, which contains the problems of this field. Isolation of psychological peculiarities in the process of mastering a second language is no less important in content. A foreign language as any linguistic system is a socio-historical product, which reflects the history of the people, their culture, the system of social relations, traditions, etc.  Language exists, lives and develops in the public consciousness of the people who speak it.
Tutorial: Google Cloud for Beginners: Architecture, Storage, and Computation

Cloud computing is a powerful paradigm to support pervasive applications that require always-on computation and interaction. In this tutorial, we focus on the Google Cloud Platform (GCP). Even though it is not currently the leader in the cloud industry, GCP is one of the best choices for deploying machine learning-based applications. This is due to the advancement of Google's deep learning technology, e.g., TensorFlow and TPU. This tutorial consists of a series of hands-on exercises for beginners that have minimum or even no experience in cloud computing platforms. We will first give an overview of cloud computing. Then we cover some high-level architecture of GCP and how they affect application development and deployment. Finally, we will walk through exercises on using several services in GCP with the focus on storage and computation services. If time permits, we will build a simple application using TensorFlow.
THEORETICAL AND PRACTICAL ASPECTS OF EDUCATORS DIGITAL COMPETENCE DEVELOPMENT IN MILITARIZED EDUCATION INSTITUTION

THEORETICAL AND PRACTICAL ASPECTS OF EDUCATORS DIGITAL COMPETENCE DEVELOPMENT IN MILITARIZED EDUCATION INSTITUTION
COLOUR VIDEO WATERMARKING BASED ON WAVELET AND QR DECOMPOSITION

In this project, a novel and efficient digital video watermarking strategy dependent on thewavelet change acted in the QR-Decomposition area is proposed. While a large portion of the currentwatermarking plans implant the watermark in all the video frames, which is tedious and likewise influences thedetectably of the video quality, the proposed technique picks just the quick movement frames in each shot tohave the watermark. In doing as such, the quantity of frames to be prepared is subsequently decreased and asuperior nature of the watermarked video is additionally guaranteed since the human visual framework can't seethe varieties in quick moving areas. The exploratory outcomes show that the proposed strategy can accomplishawesome straightforwardness while being robust against different sorts of assaults, for ex filtering, compression,noising, and frame intrigue. Contrasted and a few techniques found in the writing, the proposed strategy givesbetter robustness.
Don't do pre-platform vs platform era...compare it ...

Don't do pre-platform vs platform era...compare it in a lens of all human literacy....When have we concentrated reading, writing, in participating in such a small
CMS Word Press-Based Curriculum Management Information System of Private Islamic College

This article aims to study the Information System of Private Islamic Higher Education Curriculum based on WordPress Content Management System (CMS ). Specifically, this study aims to explore: (1) The use planning of Management Information System (MIS) curriculum based on the WordPress CMS. (2) Implementation of MIS curriculum based on WordPress CMS, (3) Evaluation of the use of CMS based on WordPress MIS curriculum. (4) The concept of MIS curriculum design based on the Word Press CMS model. This research uses a qualitative approach with a case study of Management Information Systems curriculum in the Islamic Education Management, Study Program of Islamic Religion Institute Bunga Bangsa Cirebon. The research objects were the chairman of Islamic Education Management Education study program of Islamic College Bunga Bangsa Cirebon, Operator of Information Systems and models of application MIS Curriculum Word CMS used by MPI, IAI, BBC study programs. The results show that those Study Programs in Cirebon have used the MIS Curriculum design model based on CMS WordPress and have succeeded in facilitating students, lecturers, and stakeholders to access the curriculum of study programs more easily.
STUDY THE EFFECTIVENESS OF MOBILE LEARNING ON THE IMPROVEMENT OF MATHEMATICS LEARNING INTEREST OF THE SECOND GRADERS IN A PRIMARY SCHOOL

STUDY THE EFFECTIVENESS OF MOBILE LEARNING ON THE IMPROVEMENT OF MATHEMATICS LEARNING INTEREST OF THE SECOND GRADERS IN A PRIMARY SCHOOL
LibGuides: Finding Information: Google vs. Research Databases: What's the Difference?

Gain an understanding of different information formats, including the ways they can be used in research. There are differences between the type of information available through general search engines and academic databases.
MULTIRESOLUTION ANALYSIS USING WAVELET TRANSFORMS FOR MEDICAL IMAGE SEGMENTATION

The experimental study presented in this paper is aimed at the development of an automatic imagesegmentation system for classifying region of interest (ROI) in medical images which are obtained from medical scannerslike MRI. Multiresolution analysis (MRA) using wavelet transforms has been used in the proposed segmentation system. It isparticularly a challenging task to classify cancers in human organs in scanners output using shape or gray-level information;organs shape changes throw different slices in medical stack and the gray-level intensity overlap in soft tissues. This paperpresents the application of wavelet transform to perform these task using the three dimensional waveletdecomposition,coefficients thresholding and object reconstruction. The proposed method is verified for simulated data at first and thenapplied for processing of brain parts to emphasize its selected components. The goal of the paper is in (i) the presentation ofthe three-dimensional wavelet transform, (ii) discussion of its use for volume data denoising, and (iii) proposal of thefollowing data extraction to allow their classification. The paper compares numerical results achieved by the use of differentwavelet functions and thresholding methods with the experience of an expert to propose the best algorithmic approach to thisproblem.