Reviewerly/exHarmony huggingface dataset:
Güvenlik ve Mahremiyet Perspektifinden Türkiye’nin Temaslı Takip Uygulaması

Contact tracing applications may lead to security and privacy concerns. Turkey’s contact tracing application (Hayat Eve Sığar, abbreviated as HES), which is introduced during COVID-19 pandemic, have not been covered yet for its security and privacy features. Comparison of HES with the existing cutting-edge contact tracing approaches could be used to analyse and determine the features of HES. Comparison indicated the undocumented security and privacy features of HES and revealed a set of vulnerabilities that could cause serious attacks. Mitigation techniques against vulnerabilities are proposed but current HES application includes serious attacks that could be performed by an insider or an outsider. The analysis emphasized to be considered in the design of similar applications that will emerge in the future.
A Case Study of Culture and Arts Education with Local Communities : Focusing on College Students&amp;apos; Field Experience in Culture and Arts Education

This study aims to improve the efficiency of learning by analyzing program development plans and field practice effects through college students' field practice projects in culture and arts education with the community based on the subject of ‘Understanding and Practicing Fields of Culture and Arts Education’ in liberal arts education at universities. It aims to elevate The subjects of the study were six students who took the liberal arts course of ‘Understanding and Practice in the Field of Culture and Arts Education’ at a four-year university located in S city. Class operation was conducted for 15 weeks, understanding and exploring the field of cultural arts education, preparation and planning for field practice, and field practice project. As for the research method, qualitative research was conducted through individual interviews and focus group interviews (FGI). As a result of the study, first, it confirmed that self-confidence was improved through the application of programs for field practice and case analysis in cultural arts education with the local community. Second, through cultural arts education field practice project activities, the study confirmed that students found their identity in the process of interaction and developed character. Third, it served as an opportunity to imprint the importance of arts and culture education, and helped them to have a vision for career and employment decision-making in the field of culture and arts education. The implication of this study is that college students were motivated to practice cultivating their character and instilling confidence in the development of cultural and arts programs. In addition, awareness of cultural arts education with the local community as a liberal arts education has increased, and interest in career and employment in the field of cultural arts education has increased. Therefore, it is considered that ‘understanding and practice of cultural arts education field’ in cultural arts education with the local community will be helpful as basic data for operating job competency liberal arts courses.
Simulated Annealing Search Technique

Simulated Annealing is a stochastic global search optimization algorithm. The algorithm is inspired by annealing in metallurgy where metal is heated to a high temperature quickly, then cooled slowly, which increases its strength and makes it easier to work with. algorithm comes from annealing in metallurgy, a technique involving heating and controlled cooling of a material to alter its physical properties. Keywords: optimization, bound-constrained, local minima, travelling salesman problem.
Multiple object localization and tracking based on boosted efficient binary local image descriptor

Tracking multiple objects being an important problem in video surveillance. In the research, we provide a BEBLID (Boosted Efficient Binary Local Image Descriptor feature)- based tracking system. BEBLID being quick binary descriptor that works similarly to ORB, SIFT, or SURF and requires little processing. BEBLID key points and their related descriptions for the objects are first generated from two neighboring frames. The best match is then found by computing the Hamming distance between these two-point sets. The following localization of the objects may then be deduced using the key points that match. At the same, the object detection being facilitated by YOLOv3. Combined efforts from the two i.e., BEBLID and YOLOv3 being utilized for precise localization of the multiple objects. Identification of the localization of objects over time leads to the tracking mechanism. The effectiveness of our tracking technology is evaluated using datasets representing actual surveillance scenarios. The outcomes of the experiments demonstrate the suggested approach being capable of accurately and successfully tracking objects.•We proposed a multiple object tracking algorithm based on Boosted Efficient Binary Local Image Descriptor feature.•This algorithm utilizes the competencies of BEBLID and YOLOv3 to effectively detect and track multiple objects.•We validated this algorithm by comparing the results with other state-of-art algorithms presented in the literature.
Pelatihan Teknik Penyusunan Studi Literatur Menggunakan VOSViewer dan Teknik Sitasi Menggunakan Zotero

Publication is one of the tridharma of higher education that can demonstrate the achievements of lecturers and enrich knowledge. However, many students still face difficulties in writing high-quality scientific papers and publishing them in national and international journals. To address this issue, the author conducted training using VOSviewer and Zotero applications to assist students in writing and publishing scientific papers. The results of the training showed an improvement in participants' knowledge and skills, and the participants expressed satisfaction with the success of the program. In conclusion, this training effectively enhances students' knowledge and motivation to publish their scientific work, and it is hoped that such activities can be conducted regularly to increase the number of student publications in reputable journals.
Trends of Korea Area Studies in Japan

This paper aims to analyze the trends of Korea area studies in Japan, with a focus on the Korean Regional Research Association. Firstly, examining the current status of regional research-related conferences in Japan, such conferences were established in the 1980s and continued until the 2000s, but their numbers sharply declined in the 2010s. The Modern Korean Chosun Society, founded in 2000, is a relatively new society comprising members from various academic disciplines, including law, politics, international relations, economics, business administration, sociology, social welfare, journalism and communication research, pedagogy, cultural anthropology, ethnography, folklore, history, literature, and language. Korean political research tends to describe political dynamics based on different regimes, while political history often focuses on individual figures. Much of the Korean economic research has centered on analyzing the impact of the IMF economic crisis on Korean society. Additionally, Korean social research has examined various topics, such as changes in employment structures resulting from job insecurity in the labor market, the rapid aging of the population, and shifts in population and family structures due to trends like unmarried and late marriage.
An Analysis Study of the Difficulty Level of the Grade 9 National Civil Service English Exam (CSEE) from 2019 to 2023: Focusing on AI-Based CEFR Levels and Readability Levels

The purpose of this study was to assess the difficulty level of reading comprehension passages in the Grade 9 National Civil Service English Exam (CSEE) from 2019 to 2023, focusing on AI-based CEFR levels and readability levels. The overall results of the study are as follows: Firstly, in terms of CEFR levels derived from vocabulary, verb forms, and sentence structures, a high proportion of passages were included at the C1 level and above. Secondly, considering that CEFR levels are most influenced by vocabulary, the Grade 9 CSEE still contained a significant number of difficult words. Thirdly, in terms of readability, a considerable proportion of passages were analyzed at or above the college level, indicating high difficulty not only in terms of vocabulary but also at the sentence level. These findings suggest that the Grade 9 CSEE remains challenging. Based on the results of this study, it provides suggestions that could aid in adjusting the difficulty level of future Grade 9 CSEE and improving its validity and authenticity. Moreover, it presents the potential utilization of AI-based programs in the field of English assessment.
Using "Salowis-App" to Improve Class 7 Students' Interest in Learning Science Physics in Measurement Materials

Students' interest in learning decreased after the Covid-19 Pandemic when face-to-face learning was carried out, this was marked by students experiencing a decrease in the ability to ask questions, lack of confidence when asked by the teacher, and when repeating the scores obtained under the minimum completeness criteria. The purpose of this research is to develop online learning media that is able to improve the level of interest in learning Science Physics for grade 7 junior high school students in measurement materials using the SaLoWis-App. The developed application can be applied to gadgets/smartphones by loading local wisdom content in Berbah so that it is more real for students to know. The research method used is the development model. The SaLoWis-App application was developed through a combination of several Google Workspace services such as Google Sites, Google Slides, and Google Forms which were optimized by Canva to make the design more attractive. The instrument used was questionnaires via Google Forms to assess student satisfaction regarding aspects of learning, media, and media design as an illustration of their level of interest in learning using the SaLoWis-App. The results of the research obtained an average value of each aspect sequentially, namely the learning aspect at 4.59 (Very Good), media at 4.49 (Good), and design at 4.58 (Very Good). With this value, it is concluded that students have satisfaction with learning using the online media SaLoWis-App for measurement material in grade 7 junior high school so it has a positive impact on increasing student interest in learning .
Analysis of Learner&amp;apos;s Response to Process Automation Class Design Using Web Content and Python Library

The spread of artificial intelligence along with the Fourth Industrial Revolution is bringing about changes in future occupations. Therefore, AI education is emerging as an essential subject in universities, and curriculums are being designed and researched through various approaches. This study introduces a case involving process automation classes that can be applied to university SW and AI liberal arts education by utilizing various learning resources of web content that are encountered in daily life. At a time when artificial intelligence education is emerging as important, the AI pre-processing process is also important. Thus, procedural and experiential learning that can select the tools necessary to collect, process, and analyze appropriate data for problem solving is also important. Therefore, in designing the SW⋅AI liberal arts curriculum, it is meaningful in various aspects to design an education that quickly collects and processes life-linked data based on web content by combining the highly utilized Python library and RPA concept. Through related research, cases where process automation implementation learning can be designed and applied, areas of interest among learners regarding classification were derived through learner responses. Furthermore, web content designed through qualitative responses were shown to be excellent practical resources for process automation learning. In the designed learning of classification, interest in ‘data collection using data crawling and scraping’ ranked the highest, followed by ‘open API integration and utilization’. Based on the research results, improvement points and implications are derived, and research in various directions is suggested in order for us to develop this course into a basic subject of artificial intelligence education in the future.
HaarCascade and LBPH Algorithms in Face Recognition Analysis

Different face detection techniques are being used for ages. Taking a step forward, recognizing the human face from the database or getting the new face in the database by capturing in either video or by training the code with the pre-install images in the data base for face recognition has been proposed here. Human face detection is necessity for the modern Artificial Intelligence system that can recognize the face in live feeds. This can be helpful to make informative decisions for the identification of the people, by offering security related threats, and also by other means. Recognizing human faces from the images and live video feeds or videos can be insignificant task for machines and required many image processing techniques for feature landmarks. Numerous Machine Learning Algorithms and their testing on datasets is required. In this paper, HaarCascade face recognition and Local Binary Pattern Histogram are used for feature extraction which will help in identification of human face.
Rapidly Convergent Fabrication-Error-Tolerant Unitary Processor Using Few-Layer-Redundant Multi-Plane Light Conversion

Programmable unitary transformations on integrated photonics platforms are becoming a powerful tool for quantum computing, machine learning, and optical communications. A major challenge is dealing with the fabrication errors of these circuits, which can degrade performance. One common approach uses a mesh of Mach-Zehnder interferometers (MZIs) to decompose arbitrary unitary transformations into <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$U(2)$</tex> transformations [1]. While this architecture is mathematically clear and provides an explicit method for determining the phase shifts in each MZI, it is also sensitive to fabrication errors, and ongoing research is focused on finding ways to correct these errors.
SAN: Side Adapter Network for Open-Vocabulary Semantic Segmentation

This article concentrates on open-vocabulary semantic segmentation, where a well optimized model is able to segment arbitrary categories that appear in an image. To achieve this goal, we present a novel framework termed Side Adapter Network, or SAN for short. Our design principles are three-fold: 1) Recent large-scale vision-language models (e.g. CLIP) show promising open-vocabulary image classification capability; it is training-economized to adapt a pre-trained CLIP model to open-vocabulary semantic segmentation. 2) Our SAN model should be both lightweight and effective in order to reduce the inference cost–to achieve this, we fuse the CLIP model's intermediate features to enhance the representation capability of the SAN model, and drive the CLIP model to focus on the informative areas of an image with the aid of the attention biases predicted by a side adapter network. 3) Our approach should empower mainstream segmentation architectures to have the capability of open-vocabulary segmentation–we present P-SAN and R-SAN, to support widely adopted pixel-wise segmentation and region-wise segmentation, respectively. Experimentally, our approach achieves state-of-the-art performance on 5 commonly used benchmarks while having much less trainable parameters and GFLOPs. For instance, our R-SAN outperforms previous best method OvSeg by +2.3 averaged mIoU across all benchmarks while using only 6% of trainable parameters and less than 1% of GFLOPs. In addition, we also conduct a comprehensive analysis of the open-vocabulary semantic segmentation datasets and verify the feasibility of transferring a well optimzied R-SAN model to video segmentation task.
A Study on the Appreciation of Korean Classical Poetry Using Media Literacy

In the digital environment, modern learners have familiar and easily manageable media literacy skills, which can be seen as a fundamental medium literacy. In this regard, this study aims to overcome the challenges of traditional literature education centered on intensive reading by utilizing learners' media literacy skills to enhance their appreciation of Korean classical poetry. First, media literacy was defined as the ability to understand, critically engage with, and reproduce media. Additionally, the interconnectedness between film and literature in terms of text comprehension and appreciation was examined. Based on this foundation, case studies of teaching and learning were presented focusing on the film “LaLa Land” and the Korean classical song “Dongdong.” Through these case studies, the potential for promoting meaningful construction of meaning, in-depth interpretation, expanded appreciation, and the reproduction of textual meaning through intermedia connectivity were explored, along with the limitations observed. This study provides a premise for incorporating media literacy into the education of Korean classical poetry thereby offering possibilities for education to beginner·intermediate level learners and contributing to the enhancement of appreciation skills in classical poetry.
Development and validation of an early childhood teacher's intention to leave scale

본 연구는 영유아교사 이직의도의 구성 요인을 규명하고, 그에 기반한 이직의도 측정 도구를 개발하고 타당성을 검증하는 것을 목표로 한다. 이를 위해, 먼저 선행연구 분석을 통해 영유아교사 이직의도의 개념적 범위를 ‘업무’와 ‘조직’ 및 ‘업무가치’ 영역으로 정하고, 10인의 이직 경험 교사에게 각 영역에 대한 이직의 계기를 기술하게 하였다. 서술적 응답의 내용분석을 통해, 이직의도가 ‘아동수과다’, ‘과다업무’, ‘부모소통미흡’, ‘동료소통미흡’, ‘지원부족’, ‘시설환경부족’, ’조직경직성‘, ’업무압박‘, ’사회적저평가‘, ’자율침해‘, ’교직관미실현‘, ’성장불가‘로 대표되는 내적 상태 혹은 사고로 구성된다고 가정하였다. 이어서 각 12개 요인에 대해 3문항씩을 배당하여 36문항으로 구성된 “영유아교사 이직의도 검사”를 개발하였다. 이 검사를 전북지역 J, I, G 3개 시 유치원과 어린이집 교사 206명에게 실시하여, 이 자료에 대해 일련의 요인분석을 적용하였다. 탐색적 요인분석 결과, 변별력이 현저히 낮은 한 문항(‘성장불가 1’)을 제외한 35문항으로부터 “아동수과다”, “업무압박”, “조직경직성”, “교직관미실현”, “부모소통미흡”, “사회적저평가”, “자율침해”, “환경지원미흡”으로 해석될 수 있는 8개 요인을 얻게 되었다. 다만 일부 문항들(‘조직경직성’과 ‘부모소통미흡’의 각 1문항, ‘성장불가’의 2문항)의 요인 적재치가 충분한 명료성을 보이지 않아, 추가적으로 확인적 요인분석을 실시하였다. 그 결과 35문항 8요인의 구조는 타당성을 입증할 정도의 모델 적합도를 보였다. 이어서 이직의도와 개념적 밀접성을 가지는 교사 소진 검사와의 상관은, 영유아교사 이직의도 검사의 공인타당도를 확인할 만큼 충분한 정적 관련성을 보였다. 다만, 이직의도의 “아동수과다” 척도는 소진과 이직의도의 여타 요인들에 대해 비교적 낮은 정적 상관을 나타내어, 영유아교사 이직의도의 필수적인 한 요인으로 설정됨에 있어 유의할 필요가 있어 보였다. 이렇게 현장 기반의 방식으로 개발되고 실증적으로 타당화된 본 영유아교사 이직의도 검사는, 향후 이직의 예방과 잠재적 이직자의 관리에 유용한 도구로 활용될 것으로 기대된다.Addressing ‘the crisis of teacher turnover’ problem in the early childhood education field, this study set out 3 research topics: Identifying the intention to leave factors of the early childhood educators, developing a scale for assessing the intention to leave and validating it empirically. To achieve this, the study initially analyzed previous research and defined the conceptual scopes of the intention to leave, which included aspects related to "job," "organization," and "work worth." Ten teachers who had experienced job transitions were interviewed to describe the reasons for their intentions to leave within each of these areas. A series of content analyses of the descriptive responses yielded 12 intention to leave factors representing their internal states or thoughts. Based on these factors a 36-item "Scale for intention to leave of early childhood educators" was developed, and then administered to 206 kindergarten and childcare center teachers in three cities in the Jeonbuk region. Exploratory and confirmatory factor analyses yielded eight factors, namely "excessive number of children," "work burden," "discouraging organizational atmosphere," "unfulfilled teaching values," "inadequate parent communication," "social devaluation," "autonomy restriction," and "lack of environmental support". Furthermore, the high positive correlations between the variables of this scale and a teacher exhaustion scale confirmed its concurrent validity. Overall, this field-based and empirically validated scale for assessing early childhood educators’ intention to leave holds promise for being utilized as a useful instrument for preventing teacher turnover and managing potential job changers.
Development and Validation of the Core Executive Functions Rating Scale Based on the Cognitive Model

본 연구에서는 일상생활에서 나타나는 집행기능을 인지 모델에 초점을 두어 측정하는 척도를 개발하고 타당화하였다. 척도 개발을 위해 Miyake 외(2000)의 인지 모델에 기반하여 집행기능의 핵심 요소인 억제, 최신화, 전환 기능을 측정하는 예비문항을 제작하고 성인 340명을 대상으로 자료를 수집한 후 탐색적 요인분석을 실시하였다. 분석 결과, 16개 문항으로 구성된 척도가 집행기능의 핵심 요소를 측정하고 있는 것으로 나타났다. 또한, 340명의 다른 표본에 대하여 확인적 요인분석을 실시했을 때 억제, 최신화, 전환을 측정하는 3요인 구조가 적합함을 재확인하였으며 하위척도의 내적합치도가 0.727 ~ 0.773으로 나타나 하위척도의 문항들이 동일한 개념을 반영하고 있다는 것을 확인할 수 있었다. 마지막으로 새롭게 개발한 집행기능 척도의 준거 타당도를 검증하기 위해 기존 집행기능 척도와 주의력결핍 과잉행동장애 척도를 사용해 상관분석을 실시하였고 유의한 결과를 확인하였다. 본 연구 결과에 기반하여 새로운 집행기능 척도의 의의를 이론적, 활용적 측면에서 논의하고 추후 연구를 위해 제언하였다.This study aimed to develop and validate the Core Executive Functions (CEF) rating scale based on a cognitive model of core executive functions (Miyake et al., 2000). The items for the scale were developed to reflect the abilities of inhibition, updating, and shifting in our everyday lives. An exploratory factor analysis for those items was conducted to examine the factor structure of the scale based on the data collected from 340 young adult participants. The results showed that 16 items were valid for three factors of the CEF rating scale. Subsequently, the confirmatory factor analysis was performed for another sample of 340 adults, and the three-factor structure of the scale was confirmed. The internal consistency scores of the three factors were observed between 0.727 and 0.773, which indicates that the items for each subscale appear to measure the same concept. Finally, correlation analyses confirmed the validity of the newly developed scale by showing significant relationships to other executive function scales and an Attention-Deficit Hyperactivity Disorder scale. The implications of this study were discussed in terms of theory and application, and suggestions were presented for further research.
Host a Retreat Geared Toward Your Principal Donors

The Major Gifts ReportVolume 25, Issue 10 p. 7-7 Major Donor Events Host a Retreat Geared Toward Your Principal Donors Megan Venzin, Megan VenzinSearch for more papers by this author Megan Venzin, Megan VenzinSearch for more papers by this author First published: 03 September 2023 https://doi.org/10.1002/mgr.32237Read 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. Volume25, Issue10October 2023Pages 7-7 RelatedInformation