Reviewerly/exHarmony huggingface dataset:
A Phenomenological Study on the Work Experiences of Millennial Teachers as a Department Head in Elementary Schools at Jeollanam-do, South Korea

The purpose of this study is to examine the working experiences of millennial teachers as a department head in elementary schools and investigate the meaning of experiences for their careers. Data were collected by conducting in-depth individual interviews with six participants. Data were analyzed by using Giorgio’s phenomenological method. As a result, the millennial generation elementary school teachers' experiences as a department head are divided that 15 clusters and 44 main meaning units were derived and 6 essential themes were identified as follows: “taking on the role of a department head for a variety of reasons”, “taking the role of a middle leader”,“Suffering from heavy workload”, “experiencing negative emotions”, “experiencing positive emotions”, and “benefiting from rewards”. As for the meaning of the millennial generation elementary school teacher as a department head experience, three essential themes:“growth in the teaching profession”, “personal growth”, and “proposing various opinions about the department head teacher system and teaching culture”, 9 sub-themes, and 24 core units of meaning were derived. In summary, participants initially took on the role for various reasons and they faced challenges including suffering from negative emotions and heavy workloads. However, they also experienced positive emotions, and received positive evaluations and beneficial opportunities. Through these experiences, millennial teachers as a department head have promoted growth and development in the teaching profession and have grown internally as well. Based on this growth, they suggested how to improve the department head teacher system and teaching culture based on their own experiences. In conclusion, the results of this study have implications for promoting professional development, and fostering personal growth, emotional and social well-being among millennial teachers as a department head.
Makeup transfer model based on BeautyGAN

Facial makeup transfer can realize automatic application of any makeup styles on the target face without the change of face identity. BeautyGAN enables unsupervised makeup transfer, but there are several problems with generated images, that is, partial loss of makeup effect, poor performance in makeup transfer while the input images or backgrounds are complex, and difficulty in transferring low-resolution images directly. To solve these problems, BeautyGAN, an existing makeup transfer model, was optimized. Referring to the fast style transfer algorithm, a BeautyGAN-based makeup transfer model was designed and developed by introducing a perceptual loss model to improve the performance of BeautyGAN in extracting facial features. The input image is preprocessed by SRGAN network to adapt low-resolution images to BeautyGAN model. The results show that the optimized BeautyGAN has improved local migration performance and can be put into real time operation during testing. Compared with BeautyGAN, the effect of makeup transfer has been significantly improved on the input images with facial expressions, facial occlusion or small angle pose. It is also compatible with low-resolution images.
The moral significance of intellectual property regulation

Fundamental ethical principles provide guidance for the protection and wider use of intellectual achievements. As regarding established rules for claims of authorship in scientific publications, use of intellectual property is not a matter of providing an open unregulated access but to honor the intellectual achievements while providing an avenue to wide application for promotion of innovation to the benefit of society. This is done through a balancing of different interests. In this article I examine some of the basic principles for this balancing task. A special concern in the discussion about intellectual property regulation has been the need to fit new scientific and technical innovations within the changing moral landscapes of different countries. Innovations must not offend what is considered "public order". I put this claim into perspective by demonstrating that this value laden concept needs to be adjusted in accordance to changing moral landscapes that often follow when new innovations become part of main stream technology and provide significant benefits.
The operation situation and improvement plan of the assistant teacher in daycare center

The purpose of this study was to examine the management status of the assistant teacher system of daycare center according to types of institution and job category and to suggest its improvement plan.&#x0D; This study conducted preliminary survey for 5 directors, 5 class teachers, and 5 assistant teachers of daycare centers in Gyeonggi Province. After preliminary survey, this study conducted survey research.&#x0D; The subjects were 372 directors, 319 class teachers, 125 assistant teachers of daycare centers in Gyeonggi Province. This study analyzed data using frequency analysis, crossover analysis, and χ2 test.&#x0D; The results of this study showed that the roles of assistant teachers’ carrying out or the contents of prior education were operated differently according to types of daycare center. The results that the assistant teacher system of daycare center was investigated from the viewpoints of the each position of director, class teacher, and assistant teacher also showed the meaningful difference by institution.&#x0D; Because the assistant teacher system of daycare center was operated differently according to types of daycare center like this, the support plan to fit the characteristics of each institution such as enlarging institutional autonomy should be arranged in order to improve the assistant teacher system of daycare center. As a result, it is significant that this study provides comprehensive data about the management status of the assistant teacher system of daycare center by investigating simultaneously differences in types of institution and job category.
Exploration and Classification of Lifelong Learners through YouTube-Based Digital Learning

Digital learning activity is a new phenomenon of everyday life in the digital world in the 21st century, and it is necessary to understand and study the inductive approach. The objectives of this study are to explore YouTube-based digital learning activity. First, the cluster type is derived by classifying the perception of digital learning based on YouTube and the characteristics of practical behavior of lifelong learners. Second, the difference of digital learning characteristics by cluster type of lifelong learners is confirmed. Third, the cluster type suitable for digital learning behavior of lifelong learners is conceptualized and explained. The research method constructs survey tools related to digital learning of lifelong learners through the consideration of previous studies, to confirm validity and reliability, and to collect data, and then to conduct cluster analysis(K-Means technique), discriminant analysis, and ANOVA. The results of the study are as follows: first, four clusters were identified by the frequency and classification ratio of digital learning practice based on YouTube of lifelong learners. Second, the characteristics of lifelong learners' perception of digital learning and practice(exploration, selection, expression, viewing, activity, expansion) show significant differences by four clusters. Third, the cluster types of digital learning of lifelong learners were conceptualized as ‘the Deepening-immersive group, the perceiving-passive group, the subscribing-activity group, and the searching-watching group’. The results of this study will provide useful basic information to understand the digital learning of modern people by type and promote digital learning practice for lifelong learners.
A Study on the Learning Experience of Residents Participating in the Maeul Community Meetings

This study focuses on the educational significance of the Maeul community meetings as a learning apparatus for developing residents' competencies since one of the important tasks of community building is to form the residents as the subjects of the community. Therefore, the purpose of the study is to analyze what kind of learning experiences residents have through Maeul community meetings and which elements of community meetings facilitate learning experiences. In order to achieve the purpose, a qualitative study was conducted on the experience of residents participating in community meetings, focusing on the case of Bok Mom, the Maeul community participating in the Daejeon community building project. As a result of the study, residents participating in Maeul community meetings strengthened the attitude of equal respect for each other, improved their ability to communicate reasonably, expanded their subjectivity leading the community, and formed and developed a public mindset that considers more about us than myself. In addition, it was confirmed that this learning experience can be strengthened based on elements of community meetings, such as democratic conference forms that grow as equal subjects, meeting contents and decision-making structures that grow publicity, ‘sharing updates' to help learning to respect and communicate with each other, and facilitator roles that support growth beyond meetings. In the end, this study is meaningful in that it concretely proves the learning effect of Maeul community meetings, and reveals that Maeul community meetings are an important site for resident education to develop residents into the active subject of community building.
A Historical Exploration of Sungjae, Lee Donghwi's Social Education of Saving Country as the Root of Korean Social Education

The purpose of this critical review is to find the origin and implications for the direction of lifelong education in the future through social education studies during the Japanese colonial period. Through historical literature approach, the researcher studied the thought formation process of Sungjae Lee Dong-hwi's social education and his social education practice.&#x0D; As a result of the critical review, Sungjae Lee Dong-hwi's social education ideology would be influenced by Lee Seung-gyo's teaching, raising modern consciousness during military training and activities in the Independence Club, freedom and equality from Christian admission, and proletarian revolutionary ideology embraced socialism. It was confirmed that Lee Dong-hwi's practice of social education was a kind of revolutionary social education movement to save the country from Japanese oppression. He practiced early social education from Socialism with the building of schools actively, patriotic enlightenment movements through academic societies and social organizations, religious social education movements that carried out Christian evangelism and educational movements, and establishing the Korean Socialist Party and the Goryeo Communist Party.&#x0D; These changing process of Sungjae Lee Dong-hwi's social education and practicing social education that recognizes the importance of people's education and national independence as the highest value rather than socialist ideology could provide the important implications to Korean lifelong education by establishing its philosophy and presenting direction, solution of emerging challenges, and orientation of lifelong education after unification.
Isomorphisms

This chapter begins Part II of the book, in which we build on the basic definition of a category and think about particular types of structure that might be of interest in any given category. This chapter is about how category theory provides a more nuanced approach to sameness, called isomorphism. We define inverses and isomorphisms. We give a sense in which a category treats isomorphic objects as the same. We then study isomorphisms of sets and show that the categorical definition corresponds to the elementary notion of bijection (where “elementary” means “defined with reference to elements”). We then look at isomorphisms of monoids, groups, and partially ordered sets, showing that these are just structure-preserving maps that also happen to be a bijection, and we discuss how these exhibit things with the same structure. We show that the situation is different for topological spaces, as not every bijective continuous map has a continuous inverse. We briefly touch on the idea of isomorphisms of categories, explaining that this is not the best level of sameness of categories. We finish by mentioning further topics: groupoids, categorical uniqueness, and categorification.
Modeling quantum optics of metasurfaces on the IBM quantum computer: the photon-transmon analogy (Conference Presentation)

We demonstrate a new methodology of modelling phenomena and devices of quantum photonics on a quantum computer by replicating the evolution of a single-photon state on a transmon, superconducting charge device of IBM quantum computer.
Crowdsourcing Potential

With its slogan, Perang Dadah Habis-habisan 2.0 (War Against Drugs 2.0), the National Anti-Drugs Agency (NADA) in Malaysia, also known as Agensi Antidadah Kebangsaan (AADK), has successfully involved the community fighting against the nation's number one social ill. But despite this commendable effort, the statistics of drug abuse continued to increase dramatically within a short period of 6 years, from 541 cases in 2014 to 20,313 cases in 2020 (National Anti-Drugs Agency, 2020). It had also been reported that 14,850 of the 20,313 registered drug cases in Malaysia involved youths below 39 years old (National Anti-Drugs Agency, 2020). The disturbing state of the escalating trend of youth involvement in drug abuse unquestionably calls for an urgent and critical solution. Crowdsourcing has advanced to be one of the most effective means of reaching and engaging millions of people in a short period. Driven by new technologies and networking abilities, crowdsourcing has made a collective contribution of ideas, time, expertise, and even a means for community initiatives for problem-solving to become considerably easier and omnipresent. This case study examines the potential of crowdsourcing as an intervention and prevention tool in the design and implementation of public relations communication strategies specifically to combat drug abuse and illicit drug intake among youths in Malaysia.
Creatively Engaging Readers in the Later Primary Years

This chapter focuses on teaching reading creatively to 7- to 11-year-olds and on supporting deeper engagement with texts through creative approaches that build a reflective reading culture in the classroom. Reading is a central tool of learning and one that underpins learning across the curriculum. Creative teachers seek to enable children to become readers who ask questions of texts and use each other and their understanding of the world to make multiple interpretations and personal connections. Negotiating new ways of responding to children’s needs as readers and honouring their choices is important if communities of readers are to be built. In the context of a decline in leisure reading, fostering reading for pleasure and nurturing children who can and do choose to read are particularly critical. The teachers’ creative approach inspired intense levels of imaginative engagement. Children need to select their own reading materials to develop their independence as readers with preferences.
AmeriCOM: a new optics manufacturing and workforce training consortium (Conference Presentation)

AmeriCOM has partnered with the DoD Industrial Base and Sustainment (IBAS) and Monroe Community College (MCC) programs to create a nationwide precision optics technician training capability in key U.S. regions, and an important training model for precision optics manufacturing engineering and technical leadership. IBAS has also selected AmeriCOM to create a new Defense Precision Optics Consortium (DPOC). Advanced materials, process, and equipment technologies developed by DPOC will drive the need for new training. As a result, AmeriCOM will be uniquely positioned to anticipate and support the rapid development and deployment of training as new technologies are developed.
An Analysis on Class Experience of Online Small Group Using Shared Web Documents to Enhance Instructor-Student Mutual Interactions During COVID-19

Objectives Despite the prolonged COVID-19 pandemic, lecture-oriented classes were conducted online without major problems. However, there were doubts on whether it will be possible to conduct small group classes online as efficiently as face-to-face classes. This study evaluated the satisfaction levels of online small group classes and the strategy of using Google to encourage class participation and interactions between instructors-students and among students. Methods This study focused on two small group classes: one class from A Medical School, with 75 students in the premedical course in medical school, the other from B Medical School with 17 respondents among 25 students of medical school. The class from A school was about enhancing motivation, and was conducted for three hours online by dividing the students into groups. The class from B school was on developing patient education programs. The class sessions were five weeks long, and were conducted online by dividing the students into groups. Student satisfaction with their class was evaluated with an 11-item online survey. Results It was found that 50%~60% of the students answered that the online small group classes were just as effective and smoothly conducted as face-to-face classes. The result of accessing the shared documents showed that approximately 85%, 83% of the students from A Medical School were satisfied respectively, whereas approximately 53%, 65% of the students from B Medical School were satisfied respectively. When asked about the students’ preferences on online group activities and face-to-face group activities, approximately 30% of the students from A school and approximately 59% of the students from B school preferred face-to-face classes. Conclusions Students responded that using online shared documents instead of using paper to record their discussions in group activities as they did in face-to-face group activities was a convenient and efficient way to share ideas.
Intake

OpflowVolume 48, Issue 9 p. 2-2 Departments Intake First published: 03 November 2022 https://doi.org/10.1002/opfl.1741Read 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 onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume48, Issue9November 2022Pages 2-2 RelatedInformation
An Uncertainty Quantification Framework for Counter Unmanned Aircraft Systems Using Deep Ensembles

The reliable detection and neutralization of unmanned aircraft systems (UASs), known as counter UAS (cUAS), is pivotal in restricted air spaces. The application of deep learning (DL) classifiers on electro-optical (EO) sensor data is promising for cUAS, but it introduces three key challenges. Specifically, DL-based cUAS produces point estimates at test time with no associated measure of uncertainty (softmax outputs produced by typical DL models are often overconfident predictions, resulting in unreliable measures of uncertainty), easily triggers false positive detections for birds and other aerial wildlife, and cannot accurately characterize out-of-distribution (OOD) input samples. In this work, we develop an epistemic uncertainty quantification (UQ) framework, which utilizes the advantages of DL while simultaneously producing uncertainty estimates on both in-distribution and OOD input samples. In this context, in-distribution samples refer to testing samples collected according to the same data generation process as the training data, and OOD samples refer to in-distribution samples that are intentionally perturbed in order to shift the distribution of the testing set away from the distribution of the training set. Our framework produces a distributive estimate of each prediction, which accurately expresses UQ, as opposed to a point estimate produced by standard DL. Through evaluation on a custom field-collected dataset consisting of images captured from EO sensors and in comparison to prior cUAS baselines, we show that our framework effectively expresses low and high uncertainty on in-distribution and OOD samples, respectively, while retaining accurate classification performance.
Civil Liability for Artificial Intelligence and Software

Initiated by the European Commission, the first study published in this volume analyses the largely unresolved question as to how damage caused by artificial intelligence (AI) systems is allocated by the rules of tortious liability currently in force in the Member States of the European Union and in the United States, to examine whether - and if so, to what extent - national tort law regimes differ in that respect, and to identify possible gaps in the protection of injured parties. The second study offers guiding principles for safety and liability with regard to software, testing how the existing acquis needs to be adjusted in order to adequately cope with the risks posed by software and AI. The annex contains the final report of the New Technologies Formation of the Expert Group on Liability and New Technologies, assessing the extent to which existing liability schemes are adapted to the emerging market realities following the development of new digital technologies.
Deep Learning–Based Recommender System

So far, you have learned various methods for building recommender systems and saw their implementation in Python. The book began with basic and intuitive methods, like market basket analysis, arithmetic-based content, and collaborative filtering methods, and then moved on to more complex machine learning methods, like clustering, matrix factorizations, and machine learning classification-based methods. This chapter continues the journey by implementing an end-to-end recommendation system using advanced deep learning concepts.
Filtering Measures

One of the most powerful aspects of measures in DAX is that they can be tweaked and tuned to filter the output that they deliver. This means that you can use them to create targeted calculations that only display the results based on a specific subset of the data in the data model - rather than all the data defined by any implicit filter selection. This opens the doors to endless ways to compare and contrast results and consequently deliver in-depth analysis of your data.
Blockchain technology in banking and financial service sectors in India

Financial technologies have revolutionised banking and other financial service operations all over the world in the past 10 years. This has made the process much easier for both the customers and banking authorities. This chapter provides a brief overview of the most widely used financial technology, blockchain, and its applications and possibilities for banking operations and financial services in India. Blockchain is a new technology that attracts the attention of banks and has the remarkable potential to disrupt the financial system. The chapter provides the components, types, and characteristics of blockchain technology and its uses in banking and financial services. This chapter also compares traditional banking, online financial services, and cryptocurrency banking. Further, the chapter explores the strengths, weaknesses, opportunities, and challenges of blockchains in banking and financial operations. The chapter concludes that blockchain has impacted banking and financial services and transformed the core process of payment methods through blockchain technology.