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WoS SCOPUS Document Type Document Title Abstract Authors Affiliation ResearcherID (WoS) AuthorsID (SCOPUS) Author Email(s) Journal Name JCR Abbreviation ISSN eISSN Volume Issue WoS Edition WoS Category JCR Year IF JCR (%) FWCI FWCI Update Date WoS Citation SCOPUS Citation Keywords (WoS) KeywordsPlus (WoS) Keywords (SCOPUS) KeywordsPlus (SCOPUS) Language Publication Stage Publication Year Publication Date DOI JCR Link DOI Link WOS Link SCOPUS Link
Article Factors Influencing Hand Hygiene Adherence among Hospitalized Adults in South Korea Purpose: This study evaluated hospitalized patients’ knowledge, attitudes, and adherence to hand hygiene practices and aimed to identify the factors influencing adherence during hospitalization. Methods: This cross-sectional correlational study was conducted using a structured questionnaire with 165 adult inpatients at a tertiary care hospital. Data collected between March 6 and 17, 2023, were analyzed using descriptive statistics, the t-test, one-way analysis of variance, Pearson correlations, multiple linear regression, and SPSS/WIN 27.0 software. Results: The mean knowledge score was 9.02/12, and the attitude mean score was 1.68 on a -3 to +3 scale. The average adherence level was 3.83/5 before hospitalization but 3.36 during hospitalization. Adherence was highest after restroom use and before meals, and lowest before and after room transfers. Hand hygiene adherence was positively correlated with knowledge (r=.42, p<.001), attitude (r=.21, p=.008), and daily hand hygiene (r=.65, p<.001). Key predictors of hand hygiene adherence included daily hand hygiene (β=.58, p<.001), knowledge (β=.15, p=.021), caregiver’s hand hygiene (β=.14, p=.024), and other patients’ hand hygiene (β=.12, p=.049), explaining 50.0% of the variance. Conclusion: Improving hand hygiene adherence among inpatients requires targeted education, supportive environments, and public awareness. Emphasizing factors such as daily hand hygiene adherence, knowledge, caregiver’s hand hygiene practices, and other patients’ behaviors can effectively reduce healthcare-associated infections and improve patient safety. © 2025 Korean Academy of Fundamentals of Nursing. Kim, Sugyeong; Choi, Jongrim Kyungpook National University Chilgok Hospital, Daegu, South Korea; College of Nursing, Research Institute of Nursing Science, Keimyung University, Daegu, South Korea 59672029800; 57191966218 jr.choi@kmu.ac.kr; Journal of the Korean Academy of Fundamentals of Nursing 1225-9012 32 1 0 2025-05-07 0 Attitudes; Hand hygiene; Inpatients; Knowledge; Patient adherence English Final 2025 10.7739/jkafn.2025.32.1.149 바로가기 바로가기
Article Factors Influencing Organizational Socialization in New Nurses: A Focus on Job Stress, Resilience, and Nursing Performance; [신규간호사의 직무 스트레스, 극복력, 간호업무성과가 조직사회화에 미치는 영향] Purpose: This study investigated the factors influencing organizational socialization in new nurses, with a focus on job stress, resilience, and nursing performance. Methods: The study participants comprised 139 new nurses with less than 12 months of experience, who worked at two certified tertiary hospitals. Data were collected from August 29 to September 11, 2023 through a self-report questionnaire. For data analysis, the t-test, one-way analysis of variance, the Mann-Whitney U test, the Kruskal-Wallis test, Pearson correlation analysis, and multiple regression analysis were used. Results: The mean scores of job stress, resilience, nursing performance, and organizational socialization of new nurses were 67.97±6.19, 111.24±12.76, 59.40±6.53, and 124.40±15.88, respectively. The factors affecting organizational socialization in new nurses were job stress (β=-.49, p<.001), nursing performance (β=.21, p<.001), job satisfaction (β=.17, p=.005), placement in the wanted department (β=.12, p=.012), and salary satisfaction (β=.12, p=.021). These factors explained 71.1% of variance in organizational socialization. Conclusion: The study findings suggest the need to develop and apply a better program for improving organizational socialization among new nurses. © 2025 Korean Academy of Fundamentals of Nursing. Park, Kyungok; Song, Yeoungsuk Kyungpook National University Hospital, Daegu, South Korea; College of Nursing, Kyungpook National University, Daegu, South Korea 58657411000; 55494171100 asansong@knu.ac.kr; Journal of the Korean Academy of Fundamentals of Nursing 1225-9012 32 1 0 2025-05-07 0 Job stress; Nurses; Resilience; Socialization; Work performance Korean Final 2025 10.7739/jkafn.2025.32.1.118 바로가기 바로가기
Article False Memory Syndrome and Therapeutic Malpractice in Arnold Wesker’s Denial This article examines Arnold Wesker’s play Denial (2000), discussing its contribution to the False Memory Syndrome (FMS) debate and its use of confrontational theatre to maximise the thematic focus. The play was written after Wesker learned of a daughter’s accusations of parental sexual abuse, following her “recovery” of repressed memories during therapy. An epidemic of such cases was identified in the 1980s and 90s, sparking a heated dispute between advocates of Recovered Memory Therapy (RMT), FMS researchers and broken families. Despite conflicting interpretations generated by Denial, the study argues that Wesker’s play presents both sides of the issue, while recognising the prevalence of child sexual abuse in contemporary society. Wesker’s masterly exposition of the issues involved is provocative and well-researched, indicating that the time is ripe for a revival of his later plays, often disregarded in favour of his earlier anti-establishment plays of the 1950s and 60s. © 2025 Informa UK Limited, trading as Taylor & Francis Group. Finch, Andrew; Park, Heebon Department of English Education, Kyungpook National University, Daegu, South Korea; Department of English Language and Literature, Chungbuk National University, Cheongju, South Korea 36166498700; 56879205700 heebonfinch@gmail.com; English Studies ENGL STUD 0013-838X 1744-4217 AHCI LITERATURE 2024 0.4 0 2025-05-07 0 Arnold Wesker; child sexual abuse; denial; false memory syndrome; recovered memory; therapeutic malpractice English Article in press 2025 10.1080/0013838x.2025.2480213 바로가기 바로가기 바로가기
Article Farmland Segmentation for Autonomous Agricultural Machinery Smart agriculture leverages information and communication technology in farming to enable automation, providing a sustainable solution to challenges such as climate change and an aging population. Recently, there has been active research on agricultural automation by integrating autonomous driving technology into key agricultural equipment, such as tractors and rice planters. This paper proposes a deep learning architecture to distinguish cultivable land. Using images of farmland captured by drones, we construct a dataset and aim to classify areas such as fields, edges, and roads with a lightweight deep learning model. This paper proposes a deep learning model that refines image regions using a DG-block (Dilated Group Convolution-block) and pixel shuffle. The proposed system demonstrates performance with an mIOU of 78.4%, an accuracy of 77.7%, and an inference time of 50ms. © 2025, Korean Institute of Communications and Information Sciences. All rights reserved. Bae, Na Yeon; Choi, Sung Kyun; Han, Dong Seog Kyungpook National University, School of Electronics Engineering, South Korea; Kyungpook National University, School of Electronics Engineering, South Korea; Mobilus Inc, South Korea 59902690700; 59901903800; 59307662300 dshan@knu.ac.kr; Journal of Korean Institute of Communications and Information Sciences 1226-4717 50 4 0 2025-06-11 0 D-block; DG-block; ixel shuffle; Segmentation; semantic segmentation Korean Final 2025 10.7840/kics.2025.50.4.587 바로가기 바로가기
Article First record of the genus Alluaudomyia (Diptera: Ceratopogonidae) with five species in the Republic of Korea The genus Alluaudomyia Kieffer, 1913 (Diptera: Ceratopogonidae) represents a diverse group of predaceous midges for their small size, pale coloration, and characteristic dark spot patterns on their wings, with a global distribution and 206 species documented to date. This study presents the first record of five Alluaudomyia species in the Korean Peninsula with a taxonomic key for these species and provides DNA barcoding data with COI region. Specimens were collected over a two-year period from the Republic of Korea using black light traps. The newly identified species were A. lucania Lee and Yu, 1997, A. quinquepicina Yu and Zhang, 2005, A. signosoma Yu and Zhang, 2005, A. tiberghieni Neveu, 1978, and A. tripartita Okada, 1942. These findings provide a foundation for further taxonomic studies and biodiversity assessments of Ceratopogonidae in Korea. © 2025 National Science Museum of Korea (NSMK) and Korea National Arboretum (KNA) Lee, Dong-Yeol; Jeon, Jiseung; An, Seungbak; Kim, Seonmin; Jeong, Ilyeong; Ryu, Jihun; Roh, In-Soon; Choi, Kwang Shik Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, South Korea, Research Institute for Dok-do and Ulleungdo Island, Kyungpook National University, Daegu, South Korea; Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, South Korea, Research Institute for Dok-do and Ulleungdo Island, Kyungpook National University, Daegu, South Korea, School of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, South Korea; Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, South Korea, School of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, South Korea; Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, South Korea; Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, South Korea; Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, South Korea, Research Institute for Dok-do and Ulleungdo Island, Kyungpook National University, Daegu, South Korea, School of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, South Korea; Vector-Borne Disease Laboratory, Foreign Animal Disease Division, Animal and Plant Quarantine Agency, Gimcheon, 39660, South Korea; Department of Biology, College of Natural Sciences, Kyungpook National University, Daegu, South Korea, Research Institute for Dok-do and Ulleungdo Island, Kyungpook National University, Daegu, South Korea, School of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, South Korea 57377518800; 58673027200; 59657874400; 59507330800; 59506474000; 57210884178; 22935810200; 36602283400 ksc@knu.ac.kr; Journal of Asia-Pacific Biodiversity 2287-884X 0 2025-05-07 0 Alluaudomyia; Ceratopogonidae; predaceous midges English Article in press 2025 10.1016/j.japb.2025.01.007 바로가기 바로가기
Article First Report of Magnusiomyces magnusii Isolated in Korea In 2020, a fungal isolate, designated KNUF-20-112, was obtained from a female rhinoceros beetle (Allomyrina dichotoma) collected in Yangpyeong, Gyeonggi-do, Korea. The isolate formed white, glassy colonies with smooth margins on 4% malt extract/0.5% yeast extract agar. The hyphae measured 6.48–11.24 µm in width and appeared expanded and rigid. Arthroconidia were rectangular in shape, measuring 5.23–9.81 × 13.25–21.41 µm. These morphological characteristics closely matched those of Magnusiomyces magnusii CBS 108.12T. Phylogenetic analyses based on concatenated sequences of the internal transcribed spacer regions (ITS) and large subunit (LSU) gene confirmed the similarity of strain KNUF-20-112 with M. magnusii. To our knowledge, this is the first study to document M. magnusii in Korea. © 2024 THE KOREAN SOCIETY OF MYCOLOGY. Kim, Tae-Gyeong; Nam, Song-Woon; Lim, Seong-Keun; Back, Chang-Gi; Lee, Seung-Yeol; Ten, Leonid N.; Jung, Hee-Young Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Environmental Horticulture and Landscape Architecture, Environmental Horticulture, Dankook University, Cheonan, 31116, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea 59389565800; 58971728000; 57756003900; 36144957400; 59510735800; 6603039265; 7403029383 heeyoung@knu.ac.kr; Korean Journal of Mycology 0253-651X 53 1 0 2025-05-07 0 Magnusiomyces; Multilocus sequence analysis; Unreported fungi English Final 2025 10.4489/kjm.2025.53.1.2 바로가기 바로가기
Article First Report of Varicosporellopsis shangrilaensis Isolated from Soil in Korea The fungal strain designated as KNUF-21-033 was isolated from a soil sample collected in Gunwi-gun, Daegu, Korea. It resembled Varicosporellopsis shangrilaensis in morphological characteristics, including colony color and the shapes of macroconidia and microconidia. The colonies formed white and cottony mycelium on potato dextrose agar (PDA). The conidiophores were erect, septate, and either unbranched or branched at the base, measuring 21.5–53.5 × 2.5–5.1 µm. The macroconidia and microconidia measured 13.7–22.6 × 3.8–6.9 µm and 4.0–8.8 × 3.5–7.1 µm, respectively. The obtained sequences of the internal transcribed spacer (ITS) regions and the 28S large subunit (LSU) of the ribosomal RNA, β-tubulin (TUB), and actin (ACT) genes of isolate KNUF-21-033 exhibited high similarity to strains CGMCC 3.21000 and KLF 01 of V. shangrilaensis. The topology of the maximum likelihood phylogenetic tree constructed using the concatenated ITS, LSU, TUB, and ACT sequences confirmed the affiliation of KNUF-21-033 with V. shangrilaensis. Morphological observations and phylogenetic analyses indicated that KNUF-21-033 was indeed a V. shangrilaensis strain. To the best of our knowledge, this is the first report of this fungal species in Korea. © 2024 THE KOREAN SOCIETY OF MYCOLOGY. Kim, You-Jin; Lim, Seong-Keun; Nam, Song-Woon; Back, Chang-Gi; Ten, Leonid N.; Lee, Seung-Yeol; Jung, Hee-Young Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Environmental Horticulture and Landscape Architecture, Environmental Horticulture, Dankook University, Cheonan, 31116, South Korea; Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea 57190286137; 57756003900; 58971728000; 36144957400; 6603039265; 59510735800; 7403029383 heeyoung@knu.ac.kr; Korean Journal of Mycology 0253-651X 53 1 0 2025-05-07 0 Multilocus sequence analysis; Nectriaceae; Soil-inhabiting fungi; Unreported species; Varicosporellopsis shangrilaensis English Final 2025 10.4489/kjm.2025.53.1.3 바로가기 바로가기
Conference paper Fuzzy Rule based Generative Adversarial Imitation Learning Reinforcement learning is a crucial technology for implementing intelligent service scenarios by optimizing reward functions to learn similar action. However, reward functions designed by humans often lead to significant errors when imitating action. To address this issue, methods for reward estimation and behavior generation through inverse reinforcement learning have been explored. Nevertheless, Generative Adversarial Imitation Learning(GAIL) can suffer from decreased learning speed and performance in uncertain environments with limited information. We propose designing the Generator of GAIL based on fuzzy rules, aiming for faster and more efficient action generation. This approach focuses on improving the algorithm's learning speed and preventing performance degradation in uncertain environments. Simulation results demonstrate that the proposed method outperforms existing algorithms in terms of stability and performance. © 2025 IEEE. Kim, Joonsu; Park, Ju H.; Lee, S.M. School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea; Department of Electrical Engineering, Yeungnam University, Kyongsan, South Korea; School of Electronics Engineering, Kyungpook National University, Daegu, South Korea 59919216700; 59650662600; 59510733500 Digest of Technical Papers - IEEE International Conference on Consumer Electronics 0747-668X 0 2025-06-11 0 Fuzzy Rule; GAIL; Imitation Learning; inverse reinforcement Learning; Reward Adversarial machine learning; Generative adversarial networks; Fuzzy rule based; Generative adversarial imitation learning; Imitation learning; Inverse reinforcement learning; Learning speed; Reinforcement learnings; Reward; Reward function; Uncertain environments; Reinforcement learning English Final 2025 10.1109/icce63647.2025.10929867 바로가기 바로가기
Article Gender difference of Wharton's jelly-derived mesenchymal stem cells on differentiation potential into functional granulosa cells The ovarian follicles consist of theca and granulosa cells, which play a crucial physiological role in sex hormone and cytokine secretion and provide an optimal induction microenvironment for oocytes. However, ethical concerns and the absence of a cellular model for investigating the molecular pathway in humans present challenges for research on granulosa cells. To address these challenges, differentiation induction into granulosa cells using mesenchymal stem cells (MSCs) could offer a novel approach to advancing granulosa cell research. In this study, the granulosa cell differentiation ability and hormone synthesis function of MSCs derived from male and female donors were investigated to identify gender differences. MSCs isolated from Wharton’s jelly (WJ-MSCs) were successfully differentiated into granulosa cell-like cells, as evidenced by the expression of granulosa cell-specific markers at both the mRNA and protein levels. Differentiated WJ-MSCs into granulosa cell-like cells increased aromatase activity, which plays an important role in converting testosterone to estradiol, resulting in significantly increased estradiol levels in differentiated cells compared to undifferentiated WJ-MSCs. However, the activity in female-differentiated cells was significantly higher than in male-differentiated cells. The current study indicates that female-derived WJ-MSCs may represent a novel stem cell resource for understanding granulosa cells and could provide an excellent cellular source for studying various developmental stages and processes of human folliculogenesis. © 2025 Cellular and Molecular Biology Association. All rights reserved. Lee, Sang-Yun; Bharti, Dinesh; Son, Young-Bum; Lee, Won-Jae; Choe, Yong-Ho; Lee, Hyeon-Jeong; Oh, Seong-Ju; Kim, Tae-Seok; Hong, Chae-Yeon; Lee, Sung-Lim; Rho, Gyu-Jin College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea; Division of Pulmonary, Critical Care, Sleeping and Occupational Medicine, School of Medicine, Indiana University, Indianapolis, 46202, IN, United States; Department of Obstetrics, College of Veterinary Medicine, Chonnam National University, 300 Yonbongdong, Buk-gu, Gwangju, 500-757, South Korea; College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea; College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea; College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea; College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea; College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea; College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea, Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, South Korea; College of Veterinary Medicine, Gyeongsang National University, Jinju, 52828, South Korea, Research Institute of Life Sciences, Gyeongsang National University, Jinju, 52828, South Korea 57216913305; 56946650400; 57197735518; 57205486455; 57202927556; 57202973938; 57220159013; 58412692900; 58411924300; 16678898100; 6603725057 sllee@gnu.ac.kr; jinrho@gnu.ac.kr; Cellular and Molecular Biology 0145-5680 71 4 N/A 0 Differentiation; Gender difference; Granulosa cells; Mesenchymal stem cell Adult; Aromatase; Cell Differentiation; Cells, Cultured; Estradiol; Female; Granulosa Cells; Humans; Male; Mesenchymal Stem Cells; Sex Characteristics; Wharton Jelly; aromatase; estradiol; messenger RNA; protein; testosterone; aromatase; estradiol; Article; cell differentiation; cell structure; controlled study; female; flow cytometry; gene expression level; granulosa cell; hormone synthesis; human; human cell; immunocytochemistry; male; mesenchymal stem cell; real time polymerase chain reaction; sex difference; umbilical cord; Wharton jelly; adult; cell culture; cytology; metabolism; sexual characteristics English Final 2025 10.14715/cmb/2025.71.4.3 바로가기 바로가기
Article Hadron physics experiments using Hyperon Spectrometer at J-PARC This paper compiles the ongoing hadron physics experiments utilizing the Hyperon Spectrometer at the J-PARC facility. The J-PARC Hadron Experimental Facility, capable of producing world-class intense kaon, pion, and antiproton beams with momenta up to 2 GeV/c, has opened unprecedented opportunities for a wide range of hadron experiments. Complementing these capabilities, the new Hyperon Spectrometer detector system, composed primarily of a high-rate capable time projection chamber and a 1-T superconducting magnet, has made diverse hadron experiments feasible. The first experiment using the Hyperon Spectrometer was successfully conducted in 2021, and additional experiments are currently in preparation. Furthermore, the expansion plans for the J-PARC Hadron Experimental Facility and upgrades to the Hyperon Spectrometer are underway. This paper aims to serve as a guide and inspiration for proposing new hadron experiment ideas at J-PARC using the Hyperon Spectrometer. © 2025 Korean Physical Society. All rights reserved. Kim, Shin Hyung Department of Physics, Kyungpook National University, Daegu, 41566, South Korea 56673366800 shinhyung@knu.ac.kr; New Physics: Sae Mulli 0374-4914 75 3 0 2025-05-07 0 Exotic hadrons; Hadron physics; Hyperon Spectrometer; J-PARC English Final 2025 10.3938/npsm.75.207 바로가기 바로가기
Proceedings Paper HARIN: A Novel Metric for Hierarchical Topic Model Assessment Hierarchical topic modeling is a well-known technique for deriving comprehensive insights on a given dataset. However, it is challenging to choose the best-suited hierarchical topic model among many candidates, given that the model generally depends on the dataset under analysis. Moreover, even that chosen model typically produces an overwhelming number of leaf topics, making it hard to correctly interpret the result derived from the model. Although topic coherence is an often used metric to assess the quality of a model, coherence cannot reflect the unique characteristics of the hierarchical structure when applied to the model as well. To address these concerns, we propose a novel evaluation metric, HARIN (HierArchical haRmony INdex). The proposed HARIN metric effectively reflects the overall topic coherence, diversity, and similarity among parent-child and sibling layers in the produced hierarchy. We test the validity of HARIN by comparing it against competing metrics and human assessments of the quality of topic hierarchies from four popular models applied to five real-world datasets. Our experiments demonstrate that HARIN achieves approximately 85% accuracy in model ranking compared to human scores, surpassing the leading competing metric, coherence, by 1.4x. Notably, HARIN's mean reciprocal rank of 1 highlights its exceptional ability to recommend the optimal hierarchical topic model. We show that HARIN outperforms the coherence metric in identifying the best model while also pruning the right number of leaf topics, thereby enhancing both model selection and result interpretability. Seo, Harin; Joo, Hwanseong; Tak, Byungchul; Suh, Young-Kyoon Samsung Elect Co Ltd, Suwon, South Korea; Kyungpook Natl Univ, Daegu, South Korea 58703741700; 59915923800; 6506911621; 55443739900 haha.seo@samsung.com; joohs0505@knu.ac.kr; bctak@knu.ac.kr; yksuh@knu.ac.kr; 40TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING 0 2025-06-11 0 0 Hierarchical Topic Modeling; Hierarchical Harmony Index; Topic Modeling Evaluation hierarchical harmony index; hierarchical topic modeling; topic modeling evaluation Evaluation metrics; Hierarchical harmony index; Hierarchical structures; Hierarchical topic models; Model assessment; Model evaluation; Topic diversity; Topic Modeling; Topic modeling evaluation; Topic similarity English 2025 2025 10.1145/3672608.3707837 바로가기 바로가기 바로가기
Article Human-oriented video retargeting via object detection and patch decision In this study, we suggest a novel video retargeting approach by considering the essential factors of a video: main object and movement thereof. Such two factors have been considered including the region of interest (ROI) for target object. Experimentally, we set the main object as human for storing the interaction object and movement in each sequential frame. Our method aims to preserve the ROI to the maximum extent possible over retargeting constraints for the target resolution. With a view to preserving the original main object, we rely on an object detection model to identify human-oriented objects; subsequently, we conduct a decision-making process to determine the suitability of our scheme. Upon the application of the proposed method, video frames are split into many patches and then generated with a precise target resolution using a video super-resolution model. The results of retargeting the frame images are compared against quality assessment metrics. The PSNR, SSIM, MS-SSIM, LPIPS, BMPRI, BRISQUE, PIQE and NIQE were used. We perform comparative experiments to confirm that the proposed approach can maintain the original ratio of important objects and the content of the video. We experimentally demonstrate that the proposed approach could enhance video resolution while ensuring visually pleasing quality and original important object. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Kim, Dong-Hwi; Lee, Sujin; Bae, Jaehyun; Cho, Sukee; Bae, Byungjun; Lee, Jieun; Park, Sang-Hyo School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; Electronics and Telecommunications Research Institute (ETRI), Daejeon, 34129, South Korea; Electronics and Telecommunications Research Institute (ETRI), Daejeon, 34129, South Korea; Korea Education & Research Information Service (KERIS), Daegu, 41061, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea 58556778700; 57210888405; 57895332600; 58978542900; 7007174541; 58376420800; 55362514700 s.park@knu.ac.kr; jieun_lee@yonsei.ac.kr; Multimedia Tools and Applications 1380-7501 84 9 0 2025-05-07 1 Deep learning; Object detection; Video processing; Video retargeting; Video super resolution Decision making; Deep learning; Image segmentation; Object recognition; Optical resolving power; Video signal processing; Deep learning; Important object; Main objects; Objects detection; Region-of-interest; Regions of interest; Target object; Video processing; Video retargeting; Video super-resolution; Object detection English Final 2025 10.1007/s11042-024-18878-6 바로가기 바로가기
Conference paper IDDiffuse: Dual-Conditional Diffusion Model for Enhanced Facial Image Anonymization The increasing prevalence of computer vision applications in public spaces has raised substantial privacy concerns regarding facial image data. Traditional anonymization methods, despite their potential, often suffer from drawbacks such as limited output variety, inadequate detail, distortions in extreme poses, and inconsistent temporal patterns. This study introduces an identity diffuser based on a dual-conditional diffusion model that efficiently anonymizes facial images while preserving task-relevant features for diverse applications. Our approach ensures a clear separation from the original identity by utilizing synthetic identities and an optimized identity feature space derived from three state-of-the-art models. It maintains consistency across frames for video anonymization. Unlike existing methods, our approach eliminates the need for task-relevant feature extractors, such as those for pose and expression. Instead, it employs a dual-condition diffusion model to integrate both identity and non-identity information, offering improved anonymization without compromising data usefulness. Our technique enables seamless transitions from real to synthetic identities by incorporating a time-step-dependent ID loss, providing controllable identity anonymization. Extensive studies demonstrate that our method achieves superior de-identification rates and consistency compared to state-of-the-art techniques, preserving non-identity features with a 20% improvement in emotion recognition, handling extreme poses with enhanced image quality, output diversity, and temporal consistency. This makes it a valuable tool for privacy-preserving computer vision applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Shaheryar, Muhammad; Taek Lee, Jong; Jung, Soon Ki School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea 56132068000; 59484914800; 57226791905 skjung@knu.ac.kr; Lecture Notes in Computer Science 0302-9743 15475 LNCS 0 2025-05-07 0 Face Anonymization; Face Privacy; Synthetic Identity Differential privacy; Anonymization; Computer vision applications; Diffusion model; Face anonymization; Face privacy; Facial images; Public space; Relevant features; Synthetic identity; Task relevant; Anonymity English Final 2025 10.1007/978-981-96-0911-6_25 바로가기 바로가기
Article Impact of Interprofessional Communication and Personcentered Care on Perceived Quality of Death in Intensive Care Units by Nurses: A Cross-Sectional Study Purpose: Over 10% of intensive care unit (ICU) patients die; however, research aimed at assessing and improving the quality of their deaths remains scarce. This study investigated the impact of communication among healthcare professionals and person-centered care provided by ICU nurses on the quality of dying and death (QODD) experienced by ICU patients. Methods: We measured general characteristics of ICU nurses, interprofessional communication, and person-centered care, and identified their impact on the quality of death for patients who died in the ICU. Participants consisted of 103 ICU nurses employed at two tertiary hospitals in South Korea. Data were collected between January and May 2023. Descriptive statistics, the t-test, analysis of variance, the Mann-Whitney U test, Pearson correlation coefficients, and multiple linear regression analyses were conducted using SPSS version 23.0. Results: The mean QODD score was 44.73±21.26. QODD was positively correlated with openness (nurse-physician), understanding (nurse-physician), satisfaction (nurse-physician), and person-centered care. Factors significantly influencing QODD included nurse-physician communication, specifically understanding (β=.35, p=.010), and person-centered care (β=.19, p=.033), explaining 20.2% of the total variance (F=7.44, p<.001). Conclusion: Improved communication among healthcare professionals and enhanced person-centered care are essential for improving the QODD for ICU patients. To achieve this, educational initiatives focusing on end-of-life care and communication training programs for healthcare professionals should be implemented. © 2025 Korean Society of Adult Nursing Kim, Hye-Jin; Kwon, So-Hi Registered Nurse, Kyungpook National University Hospital, Daegu, South Korea; College of Nursing, Kyungpook National University, Daegu, South Korea 59929807200; 57206416770 sh235@knu.ac.kr; Korean Journal of Adult Nursing 1225-4886 37 2 0 2025-06-11 0 Communication; Death; Intensive care units; Nurses; Patient-centered care English Final 2025 10.7475/kjan.2025.0210 바로가기 바로가기
Conference paper Impact of Non-ideal Reliability Characteristics of SiOx p-Bit for Complex Optimization Problem Solver SiOx threshold switching (TS) devices generate periodic output voltage (Vout) spikes for a given input voltage (Vin) pulse. By introducing Ti scavenging layers to induce a variability component in the SiOx film, the number of spikes corresponding to the probability begins to be elaborately tuned in a sigmoid manner as a function of Vin amplitude. Thus, Ti/SiOx/Ti TS device can serve as probabilistic bit (p-Bit), which play an important role in solving complex optimization problems (COPs). We investigate the impact of the non-ideal SiOxp-Bit response on the COP by considering classified scenarios based on the measurement results. © 2025 IEEE. Kim, Jihyun; Choi, Hyeonsik; Woo, Jiyong School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea 59361845100; 58835686900; 53985749100 IEEE International Reliability Physics Symposium Proceedings 1541-7026 0 2025-06-11 0 Combinatorial optimization problem; Logic gate; Probabilistic bits; Simulated annealing Combinatorial optimization; Combinatorial switching; Combinatorial optimization problems; Complex optimization problems; Nonideal; Probabilistic bit; Probabilistics; Problem solvers; Reliability characteristics; SiO x; Switching devices; Threshold switching; Simulated annealing English Final 2025 10.1109/irps48204.2025.10983490 바로가기 바로가기
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WoS Web of Science. Clarivate Analytics에서 제공하는 학술 데이터베이스입니다. 해당 논문이 WoS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
SCOPUS Elsevier에서 제공하는 세계 최대 규모의 초록 및 인용 데이터베이스입니다. 해당 논문이 SCOPUS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
Document Type 문헌의 유형을 나타냅니다. Article(원저), Review(리뷰), Proceeding Paper(학회논문), Editorial Material(편집자료), Letter(레터) 등으로 분류됩니다.
Title 논문의 제목입니다.
Abstract 논문의 초록(요약)입니다. 연구의 목적, 방법, 결과, 결론을 간략히 요약한 내용입니다.
Authors 논문의 저자 목록입니다. 공동 저자가 여러 명인 경우 세미콜론(;)으로 구분됩니다.
Affiliation 저자들의 소속 기관 정보입니다. 대학, 연구소, 기업 등 저자가 소속된 기관명이 표시됩니다.
ResearcherID (WoS) Web of Science의 고유 연구자 식별번호입니다. 동명이인을 구분하고 연구자의 업적을 정확하게 추적할 수 있습니다.
AuthorsID (SCOPUS) SCOPUS의 고유 저자 식별번호입니다. 연구자의 모든 출판물을 추적하고 관리하는 데 사용됩니다.
Journal 논문이 게재된 학술지의 정식 명칭입니다.
JCR Abbreviation Journal Citation Reports에서 사용하는 저널의 공식 약어입니다. 저널을 간략하게 표기할 때 사용됩니다.
ISSN International Standard Serial Number. 국제표준연속간행물번호로, 인쇄본 저널에 부여되는 고유 식별번호입니다.
eISSN Electronic ISSN. 전자 버전 저널에 부여되는 고유 식별번호입니다.
Volume 저널의 권(Volume) 번호입니다. 보통 연도별로 하나의 권이 부여됩니다.
Issue 저널의 호(Issue) 번호입니다. 한 권 내에서 여러 호로 나누어 출판되는 경우가 많습니다.
WoS Edition Web of Science의 에디션입니다. SCIE(Science Citation Index Expanded), SSCI(Social Sciences Citation Index), AHCI(Arts & Humanities Citation Index) 등으로 구분됩니다.
WoS Category Web of Science의 주제 분류 카테고리입니다. 저널과 논문이 속한 학문 분야를 나타냅니다.
JCR Year 해당 저널의 JCR(Journal Citation Reports) 지표가 산출된 연도입니다.
IF (Impact Factor) 저널 영향력 지수. 최근 2년간 발표된 논문이 해당 연도에 평균적으로 인용된 횟수를 나타냅니다. 저널의 학술적 영향력을 나타내는 대표적인 지표입니다.
JCR (%) 해당 카테고리에서 저널이 위치하는 상위 백분율입니다. 값이 낮을수록 우수한 저널임을 의미합니다 (예: 5%는 상위 5%를 의미).
FWCI Field-Weighted Citation Impact. 분야별 가중 인용 영향력 지수입니다. 논문이 받은 인용을 동일 분야, 동일 연도, 동일 문헌 유형의 평균과 비교한 값입니다. 1.0이 평균이며, 1.0보다 높으면 평균 이상의 인용을 받았음을 의미합니다.
FWCI UpdateDate FWCI 값이 마지막으로 업데이트된 날짜입니다. FWCI는 인용이 누적됨에 따라 주기적으로 업데이트됩니다.
WOS Citation Web of Science에서 집계된 해당 논문의 총 인용 횟수입니다.
SCOPUS Citation SCOPUS에서 집계된 해당 논문의 총 인용 횟수입니다.
Keywords (WoS) 저자가 논문에서 직접 지정한 키워드입니다. Web of Science에 등록된 저자 키워드 목록입니다.
KeywordsPlus (WoS) Web of Science에서 자동으로 추출한 추가 키워드입니다. 논문의 참고문헌 제목에서 자주 등장하는 단어들로 생성됩니다.
Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.