Reviewerly/exHarmony huggingface dataset:
The impact of information technology used in Iraqi universities on e-learning under of COVID-19

The aim of the research is to demonstrate the role of information technology in improving e-learning in light of Covid 19. In order to achieve the goal of the research, a questionnaire was designed to measure the relationship between the research variables. As the research sample consisted of a group of university professors, who numbered 450 teaching staff. As the research concluded that there is a statistically significant relationship between information technology and electronic education in Iraq.
Supporting Employee Wellness Within a Large Health System During the COVID-19 Crisis

We propose a nipple detection algorithm for use with digital breast tomosynthesis (DBT) images. DBT images have been developed to overcome the weaknesses of 2D mammograms for denser breasts by providing 3D breast images. The nipple location acts as an invaluable landmark in DBT images for aligning the right and left breasts and describing the relative location of any existing lesions.Nipples may be visible or invisible in a breast image, and therefore a nipple detection method must be able to detect the nipples for both cases. The detection method for visible nipples based on their shape is simple and highly efficient. However, it is difficult to detect invisible nipples because they do not have a prominent shape. Fibroglandular tissue in a breast is anatomically connected with the nipple. Thus, the nipple location can be detected by analyzing the location of such tissue. In this paper, we propose a method for detecting the location of both visible and invisible nipples using fibroglandular tissue and changes in the breast area.Our algorithm was applied to 138 DBT images, and its nipple detection accuracy was evaluated based on the mean Euclidean distance. The results indicate that our proposed method achieves a mean Euclidean distance of 3.10 ± 2.58 mm.The nipple location can be a very important piece of information in the process of a DBT image registration. This paper presents a method for the automatic nipple detection in a DBT image. The extracted nipple location plays an essential role in classifying any existing lesions and comparing both the right and left breasts. Thus, the proposed method can help with computer-aided detection for a more efficient DBT image analysis.
팟캐스트를 활용한 영미시 수업의 효과성: 예비 중등교사의 ‘시 이해’와 ‘교수활동 기획’ 역량을 중심으로

This study investigates the effectiveness of podcasts for teaching English poetry to pre-service teachers and explores its impact on their teaching competencies regarding understanding poetry and instructional design. A total of 34 pre-service teachers participated in the 10-week study in A university in Korea. Podcasts in a flipped learning environment are used to enable individual learning and foster learner autonomy. Mixed data from the questionnaire and the participants’ poem analysis tasks were collected to investigate the cognitive aspects of using podcasts. The results are as follows. First, the participants’ competency in understanding poetry increased, specifically regarding format, linguistic elements, background information, rhetorical devices, and meaning. Second, for instructional design, process, and language skills were found initially; however, as the study progressed, systematic features like context, learner characteristics, and lesson objectives were observed. Lastly, both competencies showed significant improvements. Suggestions on using podcasts as a teaching tool to enhance pre-service teachers’ teaching competencies are provided. It is hoped that this study sheds light on using technology to promote effective teaching and learning of English poetry. (Mokwon University·Baekseok University)
Model of Enterprise Information Software System (EISS) Based on Grey Relational Modelling and GANs

Model of enterprise information software system based on grey relational modelling and GANs is studied in this manuscript. The gray condition is added to the generator present in the deep convolutional generation confrontation network and it utilizes the ability of convolutional network to extract features plus conditions to supplement training. The model is designed and implemented using coding theory. The information software system is improved by adding the prior information and the basic training steps. Through the analysis of the real-world application, the performance of the model is validated.
한국어 분석 시스템 Auto-Kohesion을 활용한 중학교 국어교과서의 연계성 분석

This study aims to examine the continuity of middle school Korean textbooks, revised by the 2015 national curriculum, using Auto-Kohesion. This computer system was developed to analyze the various Korean texts with a wide range of linguistic and psycholinguistic measures for cohesion, readability, complexity, and language. The results from a total of 244 textbook files showed that continuity was well established for average word and sentence lengths, and well organized for syntactic complexity (i.e., sentence constituent ratio) across three grades. However, the linkage between these three groups was not well reflected by other Auto-Kohesion measures, including word frequency, lexical diversity, reference cohesion, pronouns (i.e., second and third pronouns), and connectives. These findings have several implications for scrutinizing the linguistic features of both Korean and writing textbooks.
THE CREATIVE DEVELOPMENT OF AN INSTRUCTOR IN THE EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY

The article deals with the development of a university instructor through the integration of formal and non-formal education within the framework of the School of Pedagogical Excellence (SPE). The relevance of the topic is confirmed by lack of a system of continuous pedagogical education for instructors of specialized universities. The aim is to study the potential of the SPE and generalize the experience in creating educational and developmental environment for pedagogical creativity. Aт overview of researches in training of teaching doctors is given. Authors present the approaches to the integration of formal and non-formal components of continuing pedagogical education. The empirical base of the research is Volgograd State Medical University. The structure and activities of the SPE are presented. An analysis of the learning outcomes has proved the effectiveness of the concept. The content meets the educational needs of the university staff and provides psychological and andragogical support for the development of specialists and the distribution of innovative experience. The SPE provides opportunities for non-formal education through the exchange of experience and joint projects. The collaboration of instructors in humanitarian, natural, medical and social sciences help to enrich the content of all disciplines with professionally and personally significant values, promoting the joint development of educators and students. The possibility of instant implementation of modern pedagogical technologies due to the parallel additional pedagogical education and the professional activities is valuable. The results can improve the system of continuous pedagogical education for university instructors.
Hindi POS Tagger Using Naive Stemming : Harnessing Morphological Information Without Extensive Linguistic Knowledge

Part of Speech tagging for Indian Lan- guages in general and Hindi in particu- lar is not a very widely explored territory. There have been many attempts at devel- oping a good POS tagger for Hindi, but the morphological complexity of the language makes it a hard nut to crack. Some of the best taggers available for Indian Lan- guages employ hybrids of machine learn- ing or stochastic methods and linguistic knowledge. Though, the results achieved using such methods are good, there prac- ticability for other inflective Indian Lan- guages is reduced due to their heavy de- pendence on linguistic knowledge. Even though taggers can achieve very good re- sults if provided good morphological in- formation, the cost of creating these re- sources renders such methods impractical.
COMPUTER TECHNOLOGY IN FOREIGN LANGUAGE TEACHING

Computers are valid teaching tools that provide the control, regulation and management of the teaching process and learning thanks to a permanent feedback loop that has a strong motivational power and constitutes the basis of the system of evaluation and just grading of students. They contribute to the development of different abilities in students, stimulate the students' motivation and interest, create more favourable conditions for a more efficient establishment and adoption of various types of knowledge. The use of computers in the organisation of teaching is introduced primarily for the purpose of improving the quality of knowledge, skills and habits adoption by students; ensuring the most favourable possible conditions for the progress and individual development of each student; making the learning process easier and more adapted to the individual, while simultaneously encouraging his or her engagement. The application of computers provides a great number of possibilities in the teaching organisation and implementation process, making it better, more quality and more dynamic.Computers have been used in foreign language learning for over 30 years now. Computer Aided Language Learning (CALL)—conceptualised in the 1980s—flourished because the industrial revolution was followed by the information and communication era. In Great Britain, computers were actively used in the teaching process as early as the mid-1980s, though their use was discussed much earlier, which can be explained by a more flexible attitude towards the knowledge acquisition process in this country as compared to German-speaking didactic tradition. Whereas the teaching process in Great Britain was organised using one computer per classroom, the Germans worked on adapting and preparing classrooms that resembled linguistic laboratories.What needs to be especially emphasised is that, in teaching and learning, computers should be understood and treated as very important and useful teaching tools that can perform multiple teaching activities at the same time, and not as a simulated model of any teacher. In that regard, we would like to point out that computers are not introduced to education in order to mimic the work of some ―ideal‖ teacher or to replace the teacher, but they instead only offer assistance to teachers and students so the quality of their individual and common work could be improved. The role of the teacher in the modern teaching process is to encourage students, to the greatest possible degree, to strive for success and progress in the process of acquiring and expanding knowledge. In order to achieve this, it is especially important to ensure a constant use of computers in teaching, thus creating the most favourable possible conditions for the progress and individual development of each student. However, students exhibit different abilities and needs, so the teacher should at all times respect and consider the existing differences, while moving, motivating and driving students forward.
A Vehicle Trajectory Extraction Method for Traffic Simulating Modeling

Vehicle driving behavior in urban traffic environment is interactive and complex. In order to simulate the driving behavior of real vehicles, it needs to rely on a large number of real vehicle trajectory data. However, making the simulated model more consistent with the real situation, a large vehicle trajectory dataset is needed. Therefore, this paper proposes a method to automatically extract accurate vehicle trajectory from video captured by UAV camera. The proposed computer vision method obtains the trajectory by detecting the vehicle and then tracking the trajectory, and calculates the relevant parameters of the vehicle, such as position, speed and direction. Therefore, the extracted data can be used as real driving behavior data for simulation modeling. The experimental results show that the proposed method is effective and reliable.
ASSESSMENT OF STUDENTS’ LEVELS OF STUDYING PHYSICS

This article explores the specifics of teaching physics in nonphysical specializations. In the areas of non-physical specialization of pedagogical higher education institutions, it is emphasized that the physics program should be radically different from the curriculum of physics, which is a specialized subject. Many other modern educational technologies are based on the teaching of physics for students of non-physical specialties, the organization of the educational process. The main focus in the teaching of physics to students of non-physical specialties is the content of theoretical materials necessary for the formation of scientific thinking among students, the creation of opportunities for independent study of physics.
TSI and TOR measurements with CLARA onboard NorSat-1

&amp;lt;p&amp;gt;Total Solar Irradiance (TSI) is one of the Essential Climate Variables (ECV) identified by the World Meteorological Organization's Global Climate System (GCOS). The Compact Lightweight Absolute RAdiometer (CLARA) experiment onboard the Norwegian micro satellite NorSat-1 is a SI traceable radiometer and was launched July 14, 2017 with the primary science goal to measure TSI from space. We present the latest status of the data and degradation correction obtained with this SI-traceable radiometer. Besides TSI, CLARA also measures the total outgoing radiation (TOR) at the top of the Earth atmosphere on the night side of Earth, which is extremely important to understand the Earth Radiation Budget. It is to our knowledge the first time that TSI and the emitted radiation from Earth are measured simultaneously with one SI-traceable absolute radiometer. We will compare the CLARA TSI and TOR time series with other available datasets. Ultimately, we aim towards determining the Earth Energy Imbalance from space. We will discuss the achievements and limitations in direction of this goal.&amp;lt;/p&amp;gt;
AN EFFICIENT MOVIE SEARCHING TECHNIQUE WITH MULTIPLE SEARCHING CRITERIA USING MOVIE SEARCH DIRECTORY APPLICATION

: In this difficult scenario of COVID-19 where people don't have many options to entertain themselves, movies are the best way to keep one entertained as well as keep them away from negative thoughts. Movies provide a person peace of mind and also helps them relax so that one can stop thinking of all the world and enjoy their private timeWatching movies is a good option to kill time but which movie to watch may be a headache for many of us and here my project Movies Search Directory comes into action where a person can search for movies efficiently on different criteria so they can decide which movies to watch according to their type of choice on movies. There are over 500000 movies which exist till now and finding a correct movie which will amuse you and shows up all your interest may be a hectic task and so my project solves all these problems. I have used JAVA for project development as it's a platform-independent and easy to use programming language and contains many usable graphical components which can be implemented in this project to make it more visually attractive
Analysing item difficulty index of hslce of Bosem, 2018

The contributor is the HSLC Head Examiner for History, Social Science of Board of Secondary Education Manipur (BOSEM) for the last eight years, and also Higher Level and Standard Level, Diploma Programme online examiner of International Baccalaureate Organisation Examination for the last three years. The paper is developed based on the experience of the contributor of the said examination. It seeks to compare the Item Difficulty set by BOSEM and the actual Item Difficulty by the examinees who appeared in 2018 High School Leaving Certificate (HSLC) Examination of BOSEM
Research Trends on CAPTCHA: A Systematic Literature Review

The advent of Internet technology has crept into virtually all sectors of the economy and this have culminated in automated processes which makes use of the Internet in executing various tasks and actions. Web Services have now become the trend when it comes to providing solutions to mundane tasks. However, this development comes with the bottleneck of authenticity and intent of users of such services. Providers of these Web services, whether as a Platform, as a Software or as an Infrastructure use various Human Interaction Proof’s (HIPs) to validate authenticity and intent of its users. To prove to a human that you are a human cannot be that hard, it only requires physical or intellectual discuss or gestures to ascertain such, but to prove to a computer that you are human can be an assiduous task. It will require a form of test that human can take, the computer can grade and with that make decisions on intent and validity of user. Completely Automated Public Turing test to tell Computer and Human Apart (CAPTCHA) has been a very beneficial service as a form of Intrusion Detection Systems in Web Services. CAPTCHAs are a class of HIPs that are difficult for computer programs (commonly called bots) to pass but readily easy for humans to take. Majority of the Web services in use today have CAPTCHAs as a defense mechanism against automated bots and indeed any other undue interaction. However, CAPTCHAs keep evolving as more and more research is being carried out to ensure the purpose of CAPTCHA (easy for human to solve while difficult for bots) is not defeated. Research into CAPTCHA can be categorized into two (2) main segment – CAPTCHA development and CAPTCH recognition (solution). In recent years, Selective Learning and Convolutionary Neural Networks (CNN) as well as Deep Convolutionary Neural Network (DCNN) have become emerging trends in both the development and recognition of CAPTCHAs. This paper therefore reviews critically over fifty articles publications that shows the current trends in the area of the CAPTCHA scheme, its development and recognition mechanisms and the way forward in helping to ensure a robust and yet secure CAPTCHA development in guiding future research endeavor in the subject domain.
SISTEM PENDETEKSI BERITA HOAX DI MEDIA SOSIAL DENGAN TEKNIK DATA MINING SCIKIT LEARN

Currently social media (especially Twitter and Facebook), have become an alternative media for news dissemination, Data shows hoax news complaints reaching 5070 in 2017 (Damar, 2017). In fact there is an increasing tendency to fabricate lies to cover up the truth or known as hocus to trick (Prasetijo et al., 2017). Therefore it is necessary to develop a tool to detect whether a news is a hoax or not. To the best of our knowledge, there is no research in hoax detection system in Indonesian language except using text vector representations based on Term Frequency and Document Frequency as well as the Support Vector Machine and Stochastic Gradient Descent classification techniques with 60% of accuracy (Prasetijo et al., 2017). It still needed a research to develop an integrated applications to detect hoax news on social media. Scikit - Learn is a python module that integrates various machine learning algorithms for medium-scale supervised and uncontrolled problems. This module is very efficient for data mining and data analysis (Jason, 2014). By using python and scikit learn, machine learning models can be obtained for the detection of news hoaxes on social media. This research covers application development for pre-processing data based on data collected from Twitter and Facebook for 3 months, creating models with scikit learn and testing the model with actual news to check the accuracy of the model in detecting hoax news. The results of this study indicate that hoax news detection systems on social media can be done by creating a classification model with TF-IDF, CountVectorizer, PassiveAgressive Classifier and SupportVector Classifier. The model developed successfully shows whether a news is fake or real by looking at the accuracy of the vector classification results. The higher the accuracy of a news on the classification vector, the more easily known whether fake or real
Open AR-Sandbox: a Haptic Interface for Geoscience Education and Outreach

&amp;lt;p&amp;gt;Augmented Reality Sandboxes are a valuable tool for science outreach and teaching due to their intuitive and haptic interaction-enhancing operation. Most of the common AR-Sandboxes are limited to the visualization of topography with contour lines and colours, as well as water simulations on the digital terrain surface. However, many geologists will intuitively want to use this system to visualize geology and literally &amp;amp;#8220;dig deeper&amp;amp;#8221;, to see how geological units change below the surface. In fact, if we consider the AR-Sandbox in its bare essential, as a 2.5-D haptic dynamic interface to a 3-D or 4-D system, then many more potential applications come to mind: from geological education and outreach, over the representation of geophysical fields, to dynamic simulations.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this contribution, we present an open-source implementation of an AR-Sandbox system with an interface in Python, which enables simple access to this tool. This implementation allows for creative and novel applications in geosciences education and outreach in general. With a link to a 3-D geomodelling system, we show how we can display geologic subsurface information such as the outcropping lithology, creating an interactive geological map for structural geology classes. The relations of subsurface structures, topography and outcrop, can be explored in a playful and comprehensible way. Additional examples are geoelectric fields and the propagation of seismic waves, as well as simulations of landslides at the surface. We further extended the functionality with an implementation of ArUco marker detection to enable interactive cross-section generation, among other examples. Many other implementations can be envisaged for the use of this system, and we look forward to creative contributions to geoscience education.&amp;lt;/p&amp;gt;