Reviewerly/exHarmony huggingface dataset:
Measurement and Utilization of Major Ability in University: Focusing on the case of S University

Objectives The purpose of this study is to explore the measures to measure and utilize major ability for data-based major education quality management through the analysis of previous studies.&#x0D; Methods Through the analysis of previous studies and the expert council, measures for measuring and utilizing the university's major ability were presented.&#x0D; Results The detailed conclusions are as follows: First, it was confirmed that the development of the major ability measurement tool was largely divided into three types. A case of developing a measuring tool that can be used universally regardless of the characteristics of the major, a case of developing a customized measuring tool reflecting the characteristics of each major, and a case of using the results of students' academic achievements in CQI, the university's quality management system. Second, measures and utilization measures were presented in the areas of class planning, operation, evaluation, and feedback. In the lesson plan area, when writing the lesson plan, an evaluation plan was established by dividing major abilities into knowledge, skills, and attitudes, and target scores were set for each area so that students could identify the goals of their major ability to reach. In the area of class operation and evaluation, various evaluation methods such as paper-based tests, performance evaluations, assignments, quizzes, and presentations were presented in accordance with the pre-set class plan. In the feedback area, a method of quantifying and visualizing the measurement results of major ability and providing them to professors and students was suggested. Third, it was proposed to develop a certificate of achievement of major ability so that students' major ability could be linked to career decision, employment and foundation.&#x0D; Conclusions The major ability measurement tool should be developed in a way that confirms the objective ability based on the students' academic achievement data, and a detailed design is required from the lesson planning stage to the feedback after measurement. In addition, it is necessary to develop a plan to utilize the major ability measurement to improve classes or help students find employment and start a business.
Secured Blockchain-Based Database for Storing Sensitive Information for Access Control IoT Systems

The presence of IoT devices in our day-to-day life is increasing exponentially as they make our life comfortable and convenient. With low computational power in IoT devices, the data stored presents a concern of privacy and security. We intend to solve this concern by leveraging blockchain technology that provides protection against attacks, seamless deployment, self-maintenance, easy authentication, data privacy, and security. To implement blockchain technology requires speed and cost overhead and, therefore, blockchain technology cannot be everywhere in the IoT segment. This study mainly focuses on storing sensitive access control information like biometric data in a secured database for access control IoT systems that are used in secured places like banks, labs, etc. We have implemented this idea on the Ethereum platform.
Virtual reality modulates the control of upper limb motion in one-handed ball catching

There remains a question about whether and to what extent perception-action coupled response in virtual reality are equal/unequal to those in the real world or physical reality. The purpose of this study was to identify the differences in the environmental effect of virtual presentation on the motor responses of a one-handed ball catching. Thirteen healthy participants were instructed to catch an approaching ball projected at three speeds in a real laboratory room and in a room-sized virtual reality system (CAVE) that simulated those real situations with two- or three-dimensional display settings. The results showed that the arm movement time, which denotes the duration of arm-raising motion (shoulder flexion), was significantly longer in the virtual reality than that in the physical reality at the fast ball speed condition. The shoulder flexion velocities, calculated as the average angular velocity of shoulder flexion over the arm movement time, were significantly lower in the virtual reality than in the physical reality at the medium and fast ball speed conditions. The electromyography onsets, derived from anterior deltoid, biceps brachii, and flexor carpi radialis muscles of the catching arm, appeared before and significantly closer to the initiation of arm raising in the two-dimensional virtual reality than both in the physical reality and in the three-dimensional virtual reality. The findings suggest that simulation of virtual reality may induce a modulation in the motor responses of the catching arm, which is different from natural motion that appeared in the real world. On the contrary, the effect of ball speed generally found in real setting was maintained in the current CAVE experiment.
On the Vibrations of the Bowed String Instruments

The present note considers the bowed string instruments of the violin family and focuses on the string-soundbox dynamical coupling in the low-frequency range, carrying out a numerical and an analytical modal approach in parallel and aiming at a simple theoretical model of the sound production. The numerical results show just slight aperiodic fluctuations of the amplitude and very slow phase shifts in comparison with the simple analytical solutions, suggesting the latter as a fairly realistic description of the instrument performances.
Nonprofit Learning Lab case statements workshop

Nonprofit Business AdvisorVolume 2022, Issue 398 p. 4-4 Conferences & Events Nonprofit Learning Lab case statements workshop First published: 07 October 2022 https://doi.org/10.1002/nba.31332Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume2022, Issue398November 2022Pages 4-4 RelatedInformation
LEGO Foundation awards over $13 million for Ukraine education programming

Corporate Philanthropy ReportVolume 37, Issue 11 p. 2-3 News Briefs LEGO Foundation awards over $13 million for Ukraine education programming First published: 07 October 2022 https://doi.org/10.1002/cprt.31413Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume37, Issue11November 2022Pages 2-3 RelatedInformation
Selection of Software Programmer Using Fuzzy MCDM Technique in Software Engineering Scenario

Software effort estimation in the software engineering scenario is highly uncertain and dependent on a variety of external elements while producing a certain type of software. For organisational benefits, software development businesses must select an appropriate and experienced group of developers. This is vital because software success or failure is strongly dependent on the experience of the team. This study’s goal is to gain the best effort from programmers in any software company, and it achieves this goal by rating programmers among groups of programmers. The evaluation of a programmer’s rating is one of the most important responsibilities, with complicated and intertwined human nature outcomes such as experience, knowledge and skills. To acquire a programmer’s rank, I tried to emulate some of the characteristics of a programmer, such as basic skills, teamwork, logic analysis and, most importantly, how much experience they have. These are the criteria I receive from specialists and well-known figures with extensive evaluative knowledge in relevant domains. This chapter describes the integration of multi-criteria decision-making (MCDM)-based fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) methods that are applied for the formation or selection of best group of programmers.
Stability of thermally bistable states and their switching in superconducting weak link

Superconducting weak link (WL), acting as a Josephson junction (JJ), is one of the widely used elements in superconductor science and quantum circuits. A hysteretic JJ with robust switching between its superconducting and resistive state is an excellent candidate for single-photon detection. However, the ubiquitous fluctuations in the junction strongly influence the stability of the states and, thus, the transition from one to the other. Here, we present an experimental study of switching statistics of critical and retrapping currents of a JJ based on niobium WL in its hysteretic regime. The mean lifetimes of the two metastable states, namely, the zero-voltage superconducting state and finite-voltage resistive state, are estimated from the distributions. Further, close to the hysteresis crossover temperature, observed telegraphic noise in the time domain due to random switching between the states provides their lifetimes directly. We present a thermal model introducing a double-well (bistable) feature with an intriguing quantity with respect to the devices' temperature states. The effects of temperature fluctuations on the stability of the states are shown. We discuss our results toward further improvement of the efficiency of superconducting WL or nanowire single-photon detectors.
Developing a sentence level fairness metric using word embeddings

Abstract Fairness is a principal social value that is observable in civilisations around the world. Yet, a fairness metric for digital texts that describe even a simple social interaction, e.g., ‘The boy hurt the girl’ has not been developed. We address this by employing word embeddings that use factors found in a new social psychology literature review on the topic. We use these factors to build fairness vectors. These vectors are used as sentence level measures, whereby each dimension reflects a fairness component. The approach is employed to approximate human perceptions of fairness. The method leverages a pro-social bias within word embeddings, for which we obtain an F1 = 79.8 on a list of sentences using the Universal Sentence Encoder (USE). A second approach, using principal component analysis (PCA) and machine learning (ML), produces an F1 = 86.2. Repeating these tests using Sentence Bidirectional Encoder Representations from Transformers (SBERT) produces an F1 = 96.9 and F1 = 100 respectively. Improvements using subspace representations are further suggested. By proposing a first-principles approach, the paper contributes to the analysis of digital texts along an ethical dimension.
Wander

This artwork presents an intelligent chatbot called Wander. This work used knowledge-based story generation to facilitate a narrative AI chatbot on daily communication platforms, producing interactive fiction with the most accessible natural language input: text messages. On social media platforms such as Discord and WeChat, Wander can generate a science-fiction style travelogue about the future earth, including text, images and global coordinates (GPS) based on real-world locations (e.g. Paris). The journeys are visualised in real-time on an interactive map that can be updated with participants' data. Based on Viktor Shklovsky's defamiliarization technique, we present how an AI agent can become a storyteller through common messages in daily life and lead participants to see the world from new perspectives. The website of this work is: https://wander001.com/
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games

Pictionary, the popular sketch-based guessing game, provides an opportunity to analyze shared goal cooperative game play in restricted communication settings. However, some players occasionally draw atypical sketch content. While such content is occasionally relevant in the game context, it sometimes represents a rule violation and impairs the game experience. To address such situations in a timely and scalable manner, we introduce DrawMon, a novel distributed framework for automatic detection of atypical sketch content in concurrently occurring Pictionary game sessions. We build specialized online interfaces to collect game session data and annotate atypical sketch content, resulting in AtyPict, the first ever atypical sketch content dataset. We use AtyPict to train CanvasNet, a deep neural atypical content detection network. We utilize CanvasNet as a core component of DrawMon. Our analysis of post deployment game session data indicates DrawMon's effectiveness for scalable monitoring and atypical sketch content detection. Beyond Pictionary, our contributions also serve as a design guide for customized atypical content response systems involving shared and interactive whiteboards. Code and datasets are available at https://drawm0n.github.io.
Analysis of Different Cryptographic Algorithms in Cloud-Based Multi-robot Systems

Nowadays, securing data over the network become an important concern. When the data is travelled between Robots and the Cloud then there is high chance of the eavesdropping of the data by the attacker. To protect the data secrecy and confidentiality that arises because of the threat, cryptography is used. At first, data is converted into unreadable text (Cipher Text) known as encryption and after receiving the data, receiver performs reverse encryption (decryption). There are many algorithms for performing the encryption and decryption process. That’s why it is necessary to find out which algorithm performs better with resource-constrained and limited computing ability devices. In this paper, various encryption techniques like DES, 3DES, AES, Blowfish and ECIES are analysed based on encryption and decryption time. This encryption mechanism consumes significant number of resources like memory utilisation, CPU time, computation time, etc. In this paper, we compared different cryptographic algorithms in terms of key size, block size, Power consumption and speed. The simulation results will be calculated in terms of encryption and decryption time of the algorithms.
Syntactic Profiles in Secondary School Writing Using PaQu and SPOD

SPOD is part of the PaQu website created as a CLARIN project.It allows one to generate a syntactic profile of a corpus based on the output of the automatic parser Alpino.It runs a long sequence of queries and provides quantitative information about constituents, sentence types, coordination, length of constituents, and so on.In this chapter, we employ SPOD and the rest of PaQu to analyse a part of the Schrijfmeterscorpus of secondary school essays.We use a small subsection of the SPOD output for this purpose, in particular those syntactic properties that correlate most reliably with academically oriented texts.We show that SPOD is able to distinguish, on the basis of these variables, among grades and school types.
Development and Application of DEA Window System with Dealing Negative Values

DEA (Data Envelope Analysis) has been applied in various fields as a non-parametric method to analyze the relative efficiency of organizations that produce multiple outputs using multiple input factors. In this study, a VRM Window model capable of analyzing changes in efficiency of time series data with negative values was presented, and a web-based analysis system was developed to support VRM Window analysis. The research results derived through this study are summarized as follows.BR First, instead of the variable conversion method that converts negative values into positive numbers, a VRM Window model that can process negative values regardless of the DEA model is presented. Second, the results of applying the VRM model and the VRM Window model were derived for the efficiency change trend analysis, and empirical analysis proved that the discriminative power of the VRM Window analysis method was greater by using the coefficient of variation. Third, we developed a web-based analysis system that supports VRM Window analysis that can handle negative values and provides an Excel interface and visualization service of the analysis results.
The Job Resources of the Restaurant Workers effect on Work Engagement and Turnover Intention : Moderating Effects of Person-Organization Fit, Department

This research suggested a theoretical framework regarding the relationship between work engagement, turnover intention according to the job resources of the restaurant workers. And the analysis examined the moderating effects of person-organization fit, department.BR This research designed research model and tested 4 hypotheses through the empirical analysis 268 participants were chosen for the empirical analysis. The results of verifying the hypothesis using the SPSS 18.0 and AMOS 7.0 programs with 268 copies of data collected from July 10 to 25, 2022 by Google Survey are as follows. First, job resources had a positive effect on work engagement and a negative effect on turnover intention. Second, in the relationship between job resources and work engagement, there was a moderating effect according to person-organization fit and work department.BR This research proved the relationship between job resources, work engagement and turnover intention. It is meaningful to examine the moderate effect according to person-organization fit and departments. In addition, it is meaningful that various methods were sought to increase the enthusiasm for the job and decrease the turnover intention.
The Parallel Multiple Mediating Effect of Child Care Teacher's Teacher Efficacy in the Relationship Between Self-Care and Burnout

The purpose of this study was to analyze the parallel multiple mediating effect of child care teacher’s teacher efficacy in the relationship between self-care and burnout. The survey was conducted on 276 teachers of 3 to 5 year classroom from daycare centers in Seoul and Gyeonggi-do. Participants responded to questionnaires that measured burnout, self-care, and teacher efficacy. The collected data was analyzed by descriptive statistics, correlation analysis using SPSS 26.0. Furthermore, the parallel multiple mediating effect was analyzed using the PROCESS Macro for SPSS version 3.5 (Model 4) and the statistical significance of the meditating effect was examined by bootstrapping. The results were as follow. First, self-care, burnout, and teacher efficacy of child care teacher were found to be correlated. Second, only classroom management in the subfactors of teacher efficacy was found to have the partial mediating role in the relationship between self-care and burnout. The results of this study emphasize the importance of self-care and teacher efficacy for child care teacher’s burnout. These findings can serve resources to develop programs for child care teacher’s burnout.
The Perception and Requirements of Kindergarten Teachers and Mothers on the Status of Distance Education and the Long Term of COVID-19 in 2020

This study was conducted to examine the daily lives of young children at home, the distance education in kindergartens, and the perceptions and requirements of teachers and parents about the prolonged COVID-19 situation during 2020. The participants were 1,272(383 kindergarten teachers and 889 parents) and were conducted frequency analysis and difference verification. Two conclusions were made from the following study. First, it was found that young children spent time at home with their parents and siblings through education(play) package and video contents that were serviced by their kindergartens. The kindergarten teachers provided play packages and video content. Kindergarten teachers showed high satisfaction with pre-produced contents, but mothers were satisfied with the contents produced by kindergartens and real-time interactive education than pre-produced contents. However, their common stance was that the development of high-quality education(play) packages was necessary, but within their shared opinion, kindergarten teachers responded that national-level public trust content was needed, while mothers emphasized the need for education that enables two-way communication. Second, they were concerned about the prolonged distance education due to COVID-19 in 2020, the delay in sociality and development, and the educational gap in children. In addition, it was found that kindergarten teachers had difficulty in role conflict. As the COVID-19 situation is prolonged, efforts should be made to establish a systematic and equitable system for distance education in order to prevent the educational gap in children. Despite the great difficulties caused by the prolonged COVID-19 situation, there were a few survey participants mentioning the benefits such as family-centered culture and individual customized education, as well as quality education and health education made possible by the decreased ratio of teachers and children. Based on the results, it was possible to derive implications for the direction of distance education in early childhood education, public trust-led distance education management, reconsideration of the teacher-child ratio, and the need for customized education.
A Study on Exploring the Operational Direction of Out-Of-Education for the Diversification of the High School Curriculum: Based on Experts’ Delphi Survey

As the high school curriculum has been diversified, out-of-school education was introduced as a pilot. This study was conducted to explore the direction to operate out-of-school education in general high school. For this end, delphi survey of supervisors, professors, researchers, officials of community agencies, high school teachers were conducted. Concepts and characteristics of out-of-education, operational elements such as subjects, community agencies, assessments and records, instructors, operating systems were asked and analyzed. As a result of this study, it was suggested that 1) out-of-school education and school education is distinguished concerning physical space, instructors, curricula, and so on; 2) out-of-school education has to be approached carefully due to its relation to college entrance; 3) workload of school and teachers should be considered.