Reviewerly/exHarmony huggingface dataset:
Narrative Analysis of Elementary, Middle, High School Students using Historical Agency

Historical agency is a meaningful concept in itself for understanding history, and is a tool that can further elaborate the three layers from a multi-perspective. Through the selection of historical actors in the context of the social structure, constraints of the time, and the consequences of that choice, students can confirm that decision-making is an important task. By understanding events in context, it becomes a tool for historical understanding and an opportunity for current students to judge past events. In this article, an alternative to thinking about war was presented based on the choices of historical actors who participated in daemonghang, the consequences of their actions, and the different interpretations of historians. It is possible to judge war from various point of view by examining the war chosen by someone in the context of the situation at the time and the outcome of the war, away from examining the background, process, outcome and impact of war. Students can see how complicated history is by observing the Goryeo government''s response to the Mongol invasion, the choice of capital relocation and the people''s resistance to and cooperation with the ruling class during the prolonged war. Through this process, the narrative can naturally shift to ‘Who chose the war for whom?’ rather than ‘Why did the war happen, how it unfolded, and what results did it bring?’ Ultimately, it can give students an opportunity to think about war. In addition, students will be able to cross over past and present and develop their own agency while watching the results of choices and decisions made according to the circumstances of various historical actors.
HUMAN COMPUTER INTERACTION BY EYE BLINKING ON REAL TIME

There are a lot of disabled people who can't control some parts of their bodies such as ALS and real-time human-computer interaction systems can help them. In this paper, a real-time vision system is presented to provide a communication way to people hassevere disabilities. Patients will be able to choose words on an alphabet tree which is designed on a binary tree by blinking right and left eye, thus they will make sentences.
PICTURES IN READING COMPREHENSION

The objective this research is to determine whether the use of pictures can improve students of class VII at SMPN 2 Bunta. This research used a quasi-experimental study that required a posttest for both groups. The population of this research was the students of class VII at SMPN 2 Bunta. The sample of this research were class VIIA as an experimental class consisting of 22 students and class VIIB as a control class consisting of 20 students. In collecting data, the researcher used test. The test consisted of pretest and posttest. Data were analyzed statistically. After being analyzed, it was found that the result of the t-count was 2,45. With 40 degree of freedom, and a the significance level of 0,05, the t-table was 2,021.Therefore, the result of t-count is higher than t-table. The results showed that there was an increase, although not significant towards the use of pictures in improving students’ reading comprehension of class VII at SMPN 2 Bunta. It means that the hypothesis of this research is accepted.
The Effects of Self Esteem, Career Decision Making Efficacy on Problem Solving Ability of Airline Service Department’s Students

The purpose of this study is to analyze the effects of Self Esteem, Career Decision Making Efficacy on Problem Solving Ability of Airline Service department’s students.<BR> This research was conducted through literature review and empirical method followed by the questionnaire survey. The questionnaires of 340 were collected on January in 2020. Collected data was analyzed by utilizing SPSS 20.0/AMOS 20.0 statistics. Following is the summary of this research. It shows that Self Esteem of the university students positively affects some factors of Career Decision Making Efficacy, such as Goal Setting and Self-Evaluation. Career Decision Making Efficacy of the students positively affects some factors of Problem Solving Ability, such as Planning Abilities and Problem Assessment. Also, Self Esteem of the university students positively affects some factors of Problem Solving Ability, such as Planning Abilities and Problem Assessment.<BR> In order to enhance Problem Solving Ability of the students, some curricular and extra curricula activities should be planned and organized.
Development of an APP with IONIC - EDUAPP

In a society immersed in innovation and technology, the evidence that the smartphone can take the world to school and transport school to the world is undeniable. Therefore, the use of mobile applications can stimulate the student's motivation and involvement and thus contribute to the creation of new teaching and learning contexts and instruments. Students use smartphones on a daily basis and these can be an incentive for new and creative pedagogical practices. This article describes the development of an app for Android and IOS smartphones, whose goal is to create a repertoire of apps that can be used in the classroom. It is intended that this mobile application will provide teachers with relevant information about the apps that others are using, while allowing to discover, install, try and use them, in the context of the classroom and, at the same time, evaluate them and share examples of good practices in their use. Teachers will also be able to suggest new apps thus contributing to a constant updating of the repertoire.So as to achieve this objective, we turned to IONIC CORDOVA to develop the app, enabling its installation on IOS and ANDROID and its use as WEB APP for the remaining operating systems.
Comparison of the Standard Errors of Equating by the IRT and Equipercentile Methods Under the Random Groups Design

검사 동등화 연구에서 자료 수집 설계로 랜덤집단 설계가 종종 사용된다. 최근 들어, 두 검사형 간 동등점수 관계를 찾기 위해 전통적인 동백분위 동등화 방법보다는 문항반응이론(IRT) 기반 동등화 방법이 더 많이 활용되고 있다. 본 연구의 첫째 목적은 랜덤집단 설계하에서 IRT 동등화 방법에 대한 동등화 표준오차의 점근 공식을 혼합형 검사에 적용할 수 있도록 일반적으로 제시하는 데 있다. 둘째 목적은 점근 공식에 기초하여 IRT 방법과 동백분위 방법에 의해 산출되는 동등화 표준오차가 어떻게 다른지를 경험적 자료를 통해 검토하는 것이다. 둘째 목적과 관련하여, 다양한 동등화 조건들을 포함하여 실시한 비교 연구를 통해 다음의 주요 결과를 얻었다. 첫째, IRT 관찰점수 동등화 방법은 IRT 진점수 동등화 방법보다 평균적으로 더 작은 동등화 표준오차를 산출하였으며, 두 IRT 동등화 방법은 동백분위 동등화 방법보다 더 작은 동등화 표준오차를 산출하였다. 둘째, 각 동등화 방법은 검사의 길이가 증가할수록 더 큰 동등화 표준오차를 산출하였다. 셋째, 각 동등화 방법은 표본의 크기가 커질수록 더 작은 동등화 표준오차를 산출하였으며, 평균 동등화 표준오차는 대략적으로 표본 크기의 제곱근에 반비례하였다.The random groups design is often used for collecting sample data for test equating. Recently, the item response theory (IRT) based equating methods have been more widely used than the traditional equipercentile equating method. One of the two purposes of this study is to present general formulas for the asymptotic standard errors of equated scores estimated by the IRT true score and observed score equating methods under the random groups design so that they can be used for equating with mixed-format tests. The other purpose is to use empirical test data to examine how the standard errors of equating produced by the IRT equating methods differ from those by the equipercentile equating method. Concerning the second purpose, a comparative study, including various equating conditions, was conducted and the following were found. First, on the average, the IRT observed score equating method resulted in slightly smaller standard errors of equating than the IRT true score equating method, and the two IRT equating methods produced smaller standard errors than the equipercentile equating method which was based on unsmoothed score distributions. Second, the standard errors produced by the three equating methods increased as the lengths of the test forms equated increased and thus the relative frequencies for test scores were lowered. Third, the mean standard errors of equating for the three equating methods decreased as the sample size increased and the amounts of the errors were inversely proportional to the square root of the sample size.
PENDIDIKAN MITIGASI DALAM MENGURANGI DAMPAK BENCANA DI KOTA PADANG

D isaster response education and pre-disaster mitigation are part of the government's efforts to reduce the impact of disasters on the community, especially in areas that have a large potential for disasters such as the city of Padang, West Sumatra. Learning from past experiences and realizing that Indonesia's geographical location is prone to earthquakes, disaster mitigation education should be an important part of teaching and learning activities in schools. The Padang city government in principle has tried to anticipate the occurrence of disasters in disaster-prone areas, including providing and facilitating the location of gathering points that may be used; informing evacuation routes that can be used by the community through maps of evacuation routes caused by earthquakes and tsunamis, and implement disaster mitigation through education and training in schools.
Atom Structure Analysis Approach for Video Forgery Identification

In this high-tech world, editing of the video is made possible effortlessly by using advanced video editors. Misuse of these editors leads to manipulating the videos for hiding the truth. Traditional methods are computationally complex and slow for detecting the authenticity and integrity of such videos. The paper presents a fast method to detect manipulative videos by exploiting the atom structure analysis of the suspicious video. File format and metadata are another wellspring of scientific proof; however less consideration by researchers and investigators paid to these elements. The proposed work focuses on video forgery identification (VFI) method for MPEG-4 videos by investigating detailed file format information. The proposed system gives fast and accurate results as the examination of complete video frames is not required by this method. Thus tradeoff between accuracy and speed is optimized by this method. Implementation of the proposed system is performed on forged video dataset. Manipulated videos are created by using six different video editors. Experimental results demonstrate that the proposed system works efficiently for rendering binary output for all video editing software selected for experimentation. As well as, the system also correctly classifies frame addition and removal type of forgery.
Trial running starts on London’s Elizabeth line prior to phased opening in 2022

Trial train running has started on the delayed £19 billion Elizabeth line in London, UK. Mark Wild, chief executive officer of client Crossrail Ltd, says the central section will start operating in the first half of 2022 followed by the rest of the line by the end of the year.
LibGuides: Online Teaching & Design Resources for Fall 2020: Home

This guide is for MCU faculty to support them in designing and redeveloping their fall 2020 courses. This guide will provide literature , resources, and other tools to use.
Development and Measurement System Analysis of an Automatic Performance Tester for Auxiliary Power Units

Purpose: In this study, an automatic performance tester (APT) was developed for an auxiliary power unit (APU) applied to self-propelled artillery, and the precision and stability of the APT were evaluated using measurement system analysis (MSA).<BR>Methods: The APT was developed as a package system comprising indicators, control devices, and a remote-control panel. Gage R&R analysis was conducted on the measurements of the rated voltage, output current, engine revolutions, and recovery time. In addition, to calibrate the APT, the data from the APT were compared with those from general-purpose measurement devices. <BR>Results: The percentage R&R values of the rated voltage, engine speed, and recovery time were less than 10 (i.e., acceptable) and that of the output current was 14.34 (i.e., conditionally acceptable). The differences in the measured values between the APT and general-purpose measurement devices were within 10% of the tolerance, so the APT calibration was considered to be acceptable.<BR>Conclusion: The results of this study are expected to provide some preliminary data for the development of APT measurement standards for self-propelled artillery APUs with defense-quality standards.
Scalable optical quantum computation based on continuous-variable quantum teleportation

Achieving scalability is one of the most pressing tasks to realize practical quantum computer. In this regard, continuous-variable optical systems have shown many promising progresses such as generation of enormous cluster states, resources for measurement-based quantum computation, using minimal resources. In this talk, I will explain the concepts of continuous-variable quantum computation with the focuses on the quantum computation based on quantum teleportation. It turns out that the quantum teleportation protocol, a basic protocol that is equivalent to the identity operation, contains many essences of the quantum computation. I will discuss the recent experimental progresses with the main focuses on the time-domain multiplexing approach and how these progresses are paving the path toward large-scale fault-tolerant universal quantum computation.
Virtual reality as an object and a tool of cognition: applied aspects

Projects developed with the use of virtual reality technologies provide a user’s immersion in an artificial world with the ability to act in it using special touch devices in real time. The design and architecture of virtual reality are new and in-demand professional competencies today. The work of a virtual architect is responsible: the virtual world can become for the user both an area where discoveries are made, and a space of psychological trauma. Therefore, the professional training of creators of digital worlds involves the active use of new educational technologies in the educational process, among which virtual reality technologies occupy a special place.
THE CORRELATION BETWEEN STUDENTS’ VOCABULARY MASTERY AND READING ABILITY WITH THEIR ABILITY IN WRITING NARRATIVE TEXT AT THE SECOND SEMESTER OF THE EIGHTH CLASS AT MTS. AL ASY’ARIYAH PANJANG BANDAR LAMPUNG IN 2018/2019

The objective of this research is to know whether there is positive correlation between students’ vocabulary mastery and their reading ability with their narrative writing ability in academic year of 2018/2019. To get the objective of the research above, the writer used Narrative quantitative method by analysing the data.The population of this research was the students of the second semester of the eighth class at MTs. Al Asy’ariyah Panjang Bandar Lampung in academic years of 2018/ 2019. And then the writer took as the sample 28 students of this research. In taking the sample, the writer used cluster random sampling technique.In collecting the data, the writer used main technique and supporting technique. In analyzing the data the writer used product moment formula. After analysing the data was got the result of the research, that was rcount is 0.59 and rtable is 0.374 for α is 0.05 Ho was accepted. So, it can be said that there is possitive correlation between students’ vocabulary mastery and their reading ability with their ability in writing narrative text. So it means that the hyphotesis in this research is accpeted. Based on the research the writer concluded that vocabulary mastery is one of the important in narrative writing. The students are able to writing narrative  text  if they have many vocabulary mastery and good reading ability.
Research on the Design of Diversified Piano Education Mode in Comprehensive Universities

Piano plays an irreplaceable role in music culture and art, while some comprehensive universities pay little attention to piano teaching. Piano teaching can improve students' artistic taste, stimulate students' interest in music, and play a vital role in improving students' comprehensive ability. This paper first briefly describes the current situation of piano education in comprehensive universities, and the importance of the innovation of diversified piano education mode, and then puts forward the diversified piano education mode.
Novel Discrete Rao Algorithms for Solving the Travelling Salesman Problem

Rao algorithms are population-based metaphor-less optimization algorithms. Rao algorithms consist of three algorithms characterized by three mathematical equations. These algorithms use the characteristics of the best and worst solution to modify the current population along with some characteristics of a random solution. These algorithms are found to be very efficient for continuous optimization problems. In this paper, efforts are made to convert Rao 1 algorithm to its discrete form. This paper proposes three techniques for converting these continuous Rao algorithms to their discrete form. One of the techniques is based on swap operator used for transforming PSO to discrete PSO, and the other two techniques are based on two novel mutating techniques. The algorithms are applied to symmetric TSP problems, and the results are compared with different state of the art algorithms, including discrete bat algorithm (DBA), discrete cuckoo search (DCS), ant colony algorithm, and GA. The results of Rao algorithms are highly competitive compared to the rest of the algorithms
Performance Evaluation of Pedestrian Detectors for Autonomous Vehicles

With the development of deep learning methods, adopting CNN-based detectors has become a trend to handle the detection task. The proposal of Intelligent Transportation Systems (ITS) has once again brought autonomous vehicles into the public eye. Pedestrian detection can ensure pedestrians’ safety, and it is considered one of the most challenging problems that urgently need to be solved. We have noticed that researchers use various environments when publishing experimental results, leading to unfair comparisons of experimental results. Under different computing resources, the performance of the detector may be weakened or enhanced. In this paper, we will compare two representative detectors with the same computing power for a fair comparison study, aiming to find out how experimental settings affect the detector’s accuracy.
Library Guides: BIPOC in STEM: Black, African American

This library guide seeks to celebrate and center the voices and lived experiences of BIPOC in STEM.
Method for Artificial KPI Generation With Realistic Time-Dependent Behaviour

Machine Learning (ML) is the dominating solution for the implementation of Self-Organizing Networks (SON), which automate mobile network management. However, the data scarcity derived from the reluctance of operators complicates the necessary training phase ML algorithms. In this letter a method to generate artificial Key Performance Indicators (KPIs) time series is proposed considering their time-dependent behaviour. The data is modelled and categorised according to the time of the day and the data models are adapted with statistical copulas to create samples which present interrelation among different KPIs. Finally, results obtained from a real mobile network are presented.
Access Management as a Security Critical Factor

The security of information and information systems is now an important and timely issue insofar as it conditions the normal development of economic activities and may even compromise the sustainability of the economic organizations themselves. The news about the violation of information privacy or the breach of security in the information systems environment has alerted management to the need to evaluate the existing security policies and procedures, namely at information systems and information technology. In this context, the present research work presents a study on the criticality of information systems access management in a large Portuguese telecommunications company, through the analysis of organizational access management practices and procedures. In this study, different methodologies were adopted to analyze the current situation, assess the organizational methodologies and politics, and optimize the management of different types of users.
Classification of Type II Z6-Codes of Length 8

We discuss to classify Type II codes of length 8 over Z6. There exist exactly two Type II codes up to equivalence.
Image Compression Algorithm Based on Time Series

21st century is a digital information age, different high technologies emerge in succession. Internet technology develops rapidly and is widely used in various industries and fields now. The popularity of 5G mobile communication technology, interactive multimedia, and remote sensing technology results in massive growth of image data. In recent years, image acquisition equipment has been widely used in production and life and the acquisition resolution has got continuous improvement as well. But how to store and transmit large numbers of image data has become big issues to production and life. How to efficiently compress, store and transmit images without destroying original information to be transmitted by the images is currently a major focus in the field of computer vision. The thesis mainly studies the methods of compressing images in time series. Firstly several basic image compression methods are introduced in details. Secondly traditional JEPG static image compression algorithm is fully analyzed. Thirdly time series are added on static image compression algorithm and groups of highly similar pictures are compressed in time series with video formats to eliminate redundant time for better efficiency optimization. Verifying through experiments and comparing with traditional compression algorithm, we get a conclusion that compressing images in time series can improve compression efficiency a lot.
Hate Speech in Mosques Versus Sectarian Violence in Pakistan: Causes and Recommendations

Language is a means of communication to convey one’s message to one’s fellow beings. In Pakistan, language has been symbolized as tool of hate, intolerance, and aggression which foment socio-political, economic-religious, and sectarian conflicts. Religious clerics (Imams) hailing from diverse sects play a very pessimistic role to utter such words from the pulpit in Mosques promote extreme hatred and prejudiced among their respective audience and followers which result in the intolerant society leading to sectarian clashes. This study aims at to highlight the hidden major causes of spreading syndrome of the hate speech phenomenon in Pakistani society. The study is based upon observation and interviews; and some prominent literature to address the research question.
A novel heavy-duty truck reversing safety control based on pedestrian tracking using fisheye stereo vision

Heavy-duty trucks have caused many reversing accidents due to the large blind area of the body, so the safety of reversing assistance has attracted more and more attention. In this paper, we present a novel heavy-duty truck safety approach for reversing based on pedestrian detection and tracking using fisheye stereo vision. Firstly, an elliptical plate is proposed to calibrate a fisheye camera, and a disparity map is computed using the binocular fisheye camera. Secondly, a pedestrian is detected after the fisheye images are corrected. Thirdly, an improved pedestrian tracking algorithm based on consensus-based tracking and matching of key-points for object tracking (CMT) algorithm combined is applied to track pedestrians. Finally, a heavy-duty truck reversing speed control method is proposed to avoid collisions and improve the safety of truck reversing. This system has been tested on a van truck. Experiments demonstrate the viability of the proposed heavy-duty truck reversing safety system.