Reviewerly/exHarmony huggingface dataset:
Development of Virtual Reality Program on Delivery Physiology for Nursing Students

The purpose of this study is to develop and effect the Virtural Reality (VR) based delivery physiological education program for nursing students. The program was developed through analysis, design, development, implementation, and evaluation stages. The content included the overview of the anatomy about women’s reproductive organs, fetal skull, fetal postures, and step of delivery (from 1 stage to 4 stage). To evaluate the developed educational program, participants was attended 4 thnursing students (20 subjects) for 2 weeks. The average user satisfaction score was 4.16 out of 5 and the average expert rating was 4.58 out of 5. Based on the study results, the VR based delivery physiological education program for nursing students should be designed for convenience and usefulness as well as education. This delivery physiological education program for nursing students is expected to offer individualized training opportunities for improving maternal-child nursing knowledge functions, although further research is needed to investigate its effects in various settings
Awareness of the Associated Curriculum of Nuri Curriculum and Primary Curriculum: kindergarten teachers, pre-kindergarten teachers, elementary school teachers, pre-primary school teachers

본 연구의 목적은 예비 유치원교사, 예비 초등교사, 현직 유치원교사, 초등교사의 누리과정 및 초등교육과정 연계교육과정에 대한 인식을 살펴보는데 목적이 있다. 이를 위해 유아교육과 재학생 3, 4학년 각각 2명, 교육대학교 재학생 3, 4학년 각각 2명, 유치원교사 3명, 초등교사 3명을 연구 참여자로 하였다. 자료 수집 방법으로는 심층면담, 전화면담, 이메일이 사용되었다. 연구결과, 유치원 교육과정과 초등학교 교육과정에 대한 연계의 필요성을 모두 다 인정을 하였으나 실제로 유초 연계에 대해 예비 유치원교사, 초등교사, 현직 유치원교사, 초등교사 모두 제대로 알지 못하였다. 또한 대학의 과정이나 보수 교육도 제대로 이루어지지 않았다. 이에 유초연계를 할 수 있는 실질적인 교육과정과 교육이 이루어지기를 방안으로 제시하였다.The purpose of this study is to examine the perceptions of pre-kindergarten teachers, pre-primary school teachers, kindergarten teachers, and elementary school teachers about the Nuri curriculum and the elementary curriculum-linked curriculum To this end, 2 students in early childhood education and 3rd and 4th grade students, 2 respectively, 3rd and 4th grade students of the University of Education, 3 kindergarten teachers, and 3 elementary school teachers were participants in the study. In-depth interviews, telephone interviews, and e-mail were mainly used as data collection methods. As a result of the study, all of the necessity of connection between the kindergarten curriculum and the elementary school curriculum was acknowledged, but in fact, pre-kindergarten teachers, elementary school teachers, incumbent kindergarten teachers, and elementary school teachers did not fully know about the connection between kindergarten and elementary school. In addition, the university courses and refresher education were not properly conducted. Accordingly, it was suggested as a plan that a practical curriculum and education that can be connected to early childhood can be achieved.
The Formation and Change of Refugee Discourse from the Perspective of Governmobility: A Study on the Keywords of Newspaper Articles about Afghanistan Special Contributors

This study aims to analyze the changing issues of refugee discourse as the concept of governmobility. From the perspective of governmobility, refugees are not only politically interpreted, but also become a tool to represent the position of the receiving country. As a result of the keyword analysis on Afghanistan refugees in Korean newspaper articles, Afghanistan refugees were only an issue in Europe and Western countries until the 1990s, but are now at the center of refugee issues in many countries, including South Korea. The background of the change is related to the internalization of refugee issues, mainly focusing on the nation’s inclusiveness to refugees. Also, the domestic refugee issue is not composed of homogeneous forms and contents, creating new discourses and various political spaces.
A Study on Causal Map Analysis of Reading Culture Promotion Policy Using System Dynamics

With the enactment of the 「Reading Culture Promotion Act」, various reading policies were prepared such as the establishment of a reading culture foundation, the establishment of reading infrastructure, and the expansion of the reading population. In accordance with the law, the government established the ‘Basic Plan for the Promotion of Reading Culture’ and promoted the policy, and invested a lot of time and policy money to promote reading. However, the ecosystem of the reading culture promotion policy is evaluated as not having self-sufficiency as the amount of reading is decreasing. Therefore, this study explored policy variables based on system thinking and analyzed the causal map between policy variables to activate the reading culture promotion policy ecosystem. System dynamics was used for analysis. Twenty policy variables were selected through literature and policy reports. Based on these policy variables, the reading culture promotion policy was analyzed through system dynamics through causal guidance and feedback loop. As a result of the analysis, 8 feedback loops appeared. The feedback loop includes establishment of a reading welfare system, expansion of reading movement, establishment of digital reading content, establishment of a cooperative system for reading policy, nurturing of reading manpower, expansion of the foundation for reading culture, expansion of publication and distribution of excellent books, and the government's reading support policy.
Keyword Network Analysis of Research Articles in the Asia-Pacific Journal of Research in Early Childhood Education : Research Trends From 2007 to 2021

This study aimed to explore changes in research articles published in the Asia-Pacific Journal of Research in Early Childhood Education (APJRECE) over time. To that end, keyword network analysis was conducted on a total of 244 research articles published in the journal during the 15-year period (both overall and in 5-year increments) from 2007 to 2021. The following results were obtained: first, discussions on common, important topics in early childhood education were held continuously and changes in keyword trends were observable within each of the different 5-year periods. Second, although APJRECE articles initially focused on qualitative studies, a balance of quantitative and qualitative research with some mixed-method papers and literature reviews was eventually attained. Third, an analysis of APJRECE articles by region revealed that the journal included studies from diverse locations, including East Asia, Southeast Asia, Oceania, North America, Africa, Europe, and the Middle East. These results confirm that APJRECE functions well as an international journal and that it provides a platform for academic exchange. Additionally, the results indicate that it has addressed and considered a wide range of topics and issues in early childhood education over time.
Exploring Middle-Aged Men's YouTube Experience

Objectives The purposes of this study is to explore The purpose of this study is to explore what middle-aged men are experiencing while using YouTube.&#x0D; Methods A case study using in-depth interviews was conducted on six middle-aged men who had watched YouTube three to five times a week or had experience running YouTube Channel. In order to secure validity and reliability, triangular verification and member check were performed through research interview records.&#x0D; Results For middle-aged men, the meaning of the experience of using YouTube was ‘personalization’. Among the study participants are YouTube channel operators and non-channel operators. Specifically, it was derived from the psychological personalization of “space to enjoy rest when you want” and “self-protection without exposing yourself,” economic personalization of “free learning center” and “preparation for the future,” and “a tool for communication for social exchange” and “a window for promoting existence.” YouTube channel operators usually act as media producers, but the participants in this study were mainly using YouTube as a consumer of information as they did not consistently operate their channels.&#x0D; Conclusions Through the voices of middle-aged men, they expanded their understanding of YouTube use. Since it suggests that media literacy education, which helps determine whether media information is true, is also required for middle-aged men, who are analog generations, media literacy education for them needs to be continuously conducted in terms of lifelong education. This study is believed to be meaningful in that it is used as basic data for designing and operating media literacy education for middle-aged men.
The Longitudinal Effects of Below-Basic Achievement in Elementary School on Vocational Maturity

본 연구에서는 「한국교육종단연구2013」 1~7차년도 데이터를 활용하여 초등학교 시기 학업성취수준 기초미달이 중학교 이후의 진로성숙도(자기이해, 진로계획성, 일에 대한 태도)의 변화에 미치는 종단적 영향을 탐색하였다. 진로성숙도의 변화를 탐색하기 위해서 잠재성장모형을 적용하였고, 중학교 1학년부터 고등학교 2학년까지 각 조사시점을 나타내는 시간 변수와 초등학교 시기 학업성취수준 기초미달 여부에 따른 집단을 나타내는 변수, 진로성숙도에 영향을 미칠 것으로 예상되는 부모(가정), 학생, 학교 영역의 배경 및 과정 변수를 포함하였다. 분석 결과, 원점수를 비교하였을 때에는 진로성숙도의 모든 하위요인에서 기초미달로 분류된 학생들의 진로성숙도는 그렇지 않은 학생들에 비해서 더 낮았으나, 영향 요인을 통제한 이후에는 자기이해, 진로계획성에서 기초미달 집단의 평균이 더 높은 것으로 나타났다. 그러나 일에 대한 태도에서는 독립변수를 통제한 이후에도 기초미달에 속한 학생들의 평균이 모든 조사시점에서 더 낮았다. 이와 같은 결과는 진로성숙도와 학업성취도, 영향 요인으로 포함된 변수들 간의 복잡한 관련성을 보여준다고 할 수 있다. 분석 결과를 토대로 진로성숙도 관련 연구와 진로교육에 대한 시사점을 제시하였다.This study investigated the longitudinal effects of below-basic achievement in elementary school on vocational maturity using 1st through 7th year data of the 2013 Korean Education Longitudinal Study. The current study employed the latent growth model to investigate changes in vocational maturity and used time variables indicating measurement occasions from the first year of middle school to the second year of high school; a variable indicating whether the student was classified into the below-basic achievement level while attending elementary school; and family-, student-, and school-related variables. The results showed that the raw scores for vocational maturity (self-understanding, career planning, and attitude toward work) in the below-basic achievement students (the focal group) were lower than those of students who were never classified into the below-basic achievement level (the reference group) across five occasions. However, after controlling for factors, the scores in self-understanding and career planning of the focal group were higher than those of the reference group. Still, in attitude toward work, the scores of the focal group were lower than those of the reference group. These results imply complicated relations among vocational maturity, academic achievement, and other factors. Based on the results, this study suggests implications for future studies regarding vocational maturity and career education in middle and high school.
Live Demo: Memory-Efficient Hardware Design for a Real-Time Convolutional Encoder-Decoder Network

This work presents a FPGA-based convolutional-neural-network (CNN)-based encoder-decoder accelerator for interpolation of high-resolution images. The baseline model is DVF [1]. The proposed system is demonstrated on Virtex UltraScale+ HBM VCU128 evaluation kit.
A Case Study on the Healing Environment of Elderly Welfare Facilities of Overseas with Attention Restoration Theory and Elements of Behavioral Affordance

The purpose of this study is to find a way for the Soft Fascination in the natural environment to work in the elderly welfare facilities, as well as to find the relationship between attention restoration theory and elements of behavioral affordance. The method theoretically considers the healing environment, behavioral affordance elements, and recovery environment formation elements of the attention restoration theory. The relationship between the eight elements of behavioral affordance and the four healing environment formation elements of attention recovery theory was then examined using items from the perceived restorativeness scale. Based on this, an analysis framework was prepared to explore ways to provide a recovery environment in elderly welfare facilities by analyzing overseas elderly welfare facilities. The results of this study show that the behavioral support element has a complex interrelationship, including the concept of recovery environment in multiple attention recovery theories; however, in general, compatibility and extent are associated with active (+) behavioral affordance elements, while the fascination and being away are associated with passive (−) behavioral affordance elements. To create an overall healing environment in elderly welfare facilities, it is necessary to adequately plan an active space while avoiding bias toward passive space.
Linear Transformations for Cross-lingual Sentiment Analysis

This paper deals with cross-lingual sentiment analysis in Czech, English and French languages. We perform zero-shot cross-lingual classification using five linear transformations combined with LSTM and CNN based classifiers. We compare the performance of the individual transformations, and in addition, we confront the transformation-based approach with existing state-of-the-art BERT-like models. We show that the pre-trained embeddings from the target domain are crucial to improving the cross-lingual classification results, unlike in the monolingual classification, where the effect is not so distinctive.
Optimized and Secured Utilization of Infrastructure Resources using VMWare Stretched Cluster Multi-Site Solutions

Organizations over the period have installed multi-site data center solutions for maintaining workload agility, load balancing, resource sharing, integrated network connections, security procedures, and disaster recovery [1]. The purpose of multi-site data center is to offer high uptime cloud services that have a thorough disaster recovery plan in place, ensuring controlling compliance. This type of implementation of multi-site centers faces many challenges over the period. Moreover, the conventional solutions have been insufficient in assisting organizations to solve complex issues. In this paper we will discuss the present schemes that organizations have deployed for multiple data centers at a different geographical location along with disaster recovery and propose a better solution with VMware NSX that leverage a network overlay providing a complete holistic multi-site solution.
CD-KNN: A Modified K-Nearest Neighbor Classifier with Dynamic K Value

K-Nearest Neighbor (KNN) is a widely used classifier in many applications of Machine Learning. KNN is a distance based learning that uses different distance measures to compute the K nearest neighbors of a test instance. But, it is very challenging to pick up an appropriate K value for KNN and especially, for an imbalance dataset, the value of K plays a major role during classification of unknown instances by KNN. So, the paper addresses the issue of computing the K value dynamically for each test instance to be classified by the KNN classifier. We developed a modified KNN classifier called Cluster-based Dynamic KNN (CD-KNN) that computes the K nearest neighbors dynamically and the performance of the classifier is evaluated using 9 datasets. From the experimental results, we observed that the proposed KNN classifier yields better results as compared to the traditional classifier on various datasets.
Axiological Aspects of Ethno-Cultural Education of Students in the Educational Process of the University

The development of society is inextricably linked with its past, traditions, way of life, therefore, today, one of the important tasks of education is the upbringing of a spiritually and morally developed personality with a formed civic position, ready to understand and realize traditional Russian values. Currently, the unique, original and rich traditions of national cultures are gradually being forgotten, as a result of which the student youth pays little attention to the peculiarities of their people, which threatens to lose their national identity. The education system should take into account the experience of folk pedagogy, rely on the culture and national traditions of the region, promote their revival and restoration. The purpose of the article: to reveal the axiological components of ethno-cultural education in the professional training of students in the direction of “Pedagogical education (with two training profiles)”. Ethno-cultural education involves introducing students to the ethno-cultural heritage of the traditions of their native land and the peoples of the world. The author presents and substantiates the model of ethno-cultural education of students — future teachers. The ethnocultural education of the future teacher based on folk traditions and folk arts and crafts is considered by the author as a factor in preserving cultural identity, ethnic mentality, national values of the people.
Digital Competence of a Teacher as Mean of Managing the Educational Process in Higher School

The era of the digital revolution is characterized by a fundamental transformation of the economy and society. Digitalization, acting as a trend in the development of the entire education system, has not bypassed the practice of university management, which, in the face of modern challenges, is forced to search for resources and ways to improve the quality of education of a university and its competitiveness. The Federal State Educational Standard of Higher Education and the professional standard of the teacher declare that the driver of the transformation of managerial actions is the transition from traditional to innovative approaches associated with the digitalization of the educational environment. The use of digital technologies in the training of future teachers acquires a personal meaning for each teacher, and competence in this area becomes an important condition for optimizing the performance of his managerial functions: planning, organization and control. Despite the existing scientific work on the management of the educational process in higher education and the digital competence of the teacher, their analysis indicates the lack of proper justification and characteristics of the system of connections of these significant components in the professional activities of teachers. The study of the effectiveness of the model for increasing the digital competence of university teachers was the purpose of the study on the basis of the Arzamas branch of the National Research Nizhny Novgorod State University named after N.I. Lobachevsky. The experiment was carried out from 2020 to 2021, the total number of participants was 282. Approbation of the model included: participation of the teachers of the experimental group, both in digital competence improvement programs offered by other universities, and in those implemented by the university itself; mastering digital technologies in close cooperation with mentors involved in corporate training. The effectiveness of the experimental model was assessed based on the results of monitoring the levels of digital competence of teachers.
Zoom-Mediated Online Learning Towards Students Reading Interest: An Experimental Study

In the last two years, the trend of online learning in universities has utilized Zoom as the main media to conduct the learning process. This study sought to determine the effect of using Zoom on students' reading interest. This study was conducted qualitatively using an ex-post facto design. The samples of this study (n=32) were chosen by a cluster random sampling procedure from the total population (N=65). The collected data were analyzed through simple linear regression. The results of the test and interpretation in this study revealed that the use of Zoom as an online learning medium had no significant effect on students' reading interest. The findings of this study disconfirmed a number of researchers who assumed that the students’ independence to search for information or materials online will automatically increase their reading interest. Based on the results of the analysis on the coefficient of determination, the contribution of zoom to students’ reading interest was only 18.4%. This indicated that students’ willingness to search for information independently was not motivated by a high reading interest although students had a high awareness to study independently and to search for reading sources on the internet. Factors outside the use of zoom provided a greater contribution (81.6%). The implication of this study was the need to evaluate the use of zoom as an online learning medium to increase students' reading interest.
Drone Detection Using Deep Neural Networks

Unmanned aerial vehicles (UAVs) have brought many practical benefits during the last decades. Moreover, as technology advances, UAVs become more optimal in size and range. However, the threat posed by these devices is also increasing if people misuse them for illegal activities (such as terrorism, drug trafficking, etc.), which poses a high risk to security for different organizations and governments. Hence, detection and monitoring of drones are crucial to prevent security breaches. However, the small size and similarity to wild birds in the complex background of drones pose a significant challenge. This paper addresses the detection of small drones in real surveillance videos using standard deep learning-based object recognition methods. Our method approaches the drone detection problem by training the YOLOv4 model with modifications in the network structure, training strategy, and pre-anchor boxes for better small object detection. We also integrate the Seq-NMS post-processing phase to increase detection reliability and reduce false alarms. The experimental results show that our approach can perform better than the previous methods.
Retraction: Research on Intelligent Monitoring of Industrial Fan Condition Based on Big Data Analysis and Data Mining (J. Phys.: Conf. Ser. 1648 022152)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 16 September 2022
Loan Fraud Detection Using Machine Learning as a Data Mining Approach

Detecting loan fraud is a subject frequently raised in scientific research, and to which financial institutions attach great importance, given the losses they avoid by applying an efficient fraud detection. The purpose of this paper is to compare a machine learning algorithm with statistical models in fraud detection and describe a machine learning approach to loan fraud detection using data mining techniques. The paper proposes an approach using data mining techniques for machine learning in order to improve performance. In the training stage, the authors used two datasets. The first one is a raw data, and the second is a pre-processed data with feature engineering and selection methods. The results show a significant improvement in performance of all classifiers once tested on pre-processed data. Finally, they conclude that applying machine learning algorithms directly to raw data gives bad results for statistical model comparing to machine learning algorithms, and the proposed approach using feature engineering and selection techniques contributes to improve performance.