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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 Molecular Characterization of Bacillus anthracis from Selected Districts of Bangladesh In developing countries like Bangladesh, livestock is one of the main sources of income. Among several infectious diseases, the Gram-positive bacterium Bacillus anthracis causes a zoonotic disease named anthrax. Animal anthrax outbreaks are a frequently occurring problem in Bangladesh. Our present study aims to molecularly identify and characterize B. anthracis from three districts of Bangladesh by 16S rRNA gene sequencing. B. anthracis was confirmed in soil, meat, and blood samples using PCR. Anthrax-affected soil (n = 128), blood (n = 1), and meat (n = 2) samples were analyzed using PCR. One of the positive samples was randomly chosen for sequencing, and MEGA5 software was used to generate the phylogenetic tree from the sequencing result. A total of 21 (16.40%) soil samples and all of the blood and meat samples were positive for the presence of bacteria, confirmed by PCR. The 16S rRNA gene of B. anthracis Sirajganj-1 was identical to that of other strains. To fulfill the Sustainable Development Goals, it is important to control zoonotic diseases. Our results may help discover the virulent genes of B. anthracis for future investigation and control this zoonotic disease. Also, a proper awareness of vaccination and effective surveillance system is important to eradicate any kind of zoonotic disease in developing nations. © 2025 by the authors. Islam, Md. Maidul; Shahid, Md Ahosanul Haque; Nazir, K. H. M. Nazmul Hussain Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh, Department of Microbiology, School of Medicine, Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea; Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh, Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, 96822, HI, United States; Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh 57216605059; 57222230081; 59965301700 shahid@hawaii.edu; nazir@bau.edu.bd; Acta Microbiologica Hellenica (Switzerland) 2813-9054 70 2 0 16S rRNA gene; anthrax; Bangladesh; phylogenetic analysis; zoonosis English Final 2025 10.3390/amh70020017 바로가기 바로가기
Article Morphology and Phylogeny of Cytospora erumpens, Unreported Species Isolated from Apple Trunk in Korea A fungal strain was isolated from a darkened apple tree trunk and designated as KNUF-21-C5. The cultural and morphological characteristics of the isolated strain were evaluated using potato dextrose and malt extract agar (MEA). After 7 days, the colonies on MEA were circular, dense, rough, lacking aerial mycelia, olivaceous-yellow at the center with white margins, and reached 90 mm in diameter. Morphologically, the conidiophores were straight and hyaline, and the conidiogenous cells were enteroblastic, phialidic, hyaline, and cylindrical. The conidia were unicellular, elongated-allantoid, and measured 5.1–6.6 × 1.3–1.6 µm in diameter. These characteristics were consistent with those of the Cytospora species. To identify the species, molecular analysis was performed using sequences of the internal transcribed spacer regions, large subunit of 28S rRNA, actin, translation elongation factor 1-alpha, and RNA polymerase II subunit gene, it showed 98.0–100% similarity to C. erumpens CFCC 53163. The KNUF-21-C5 strain was clustered with C. erumpens CFCC 53163 in phylogenetic trees, and the conidial size was similar to the type strain of C. erumpens (5.1–6.6 × 1.3–1.6 µm vs. 5.6–6.7 × 1.3–1.7 µm). Based on fungal characteristics and phylogenetic analysis, KNUF-21-C5 was identified as C. erumpens. The pathogenicity of KNUF-21-C5 in apples was confirmed by inoculation of apple twigs. This is the first record of C. erumpens associated with Cytospora canker on apples in Korea. © 2024 THE KOREAN SOCIETY OF MYCOLOGY. Choi, Jun-Woo; Lim, Gwang-Jae; Back, Chang-Gi; Kang, In-Kyu; 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 Environmental Horticulture and Landscape Architecture, Environmental Horticulture, Dankook University, Cheonan, 31116, South Korea; Department of Horticultural Science, 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 59213079300; 58512640000; 36144957400; 59349261900; 56106499600; 7403029383 leesy1123@knu.ac.kr; Korean Journal of Mycology 0253-651X 53 1 0 2025-05-07 0 Apple; Cytospora canker; Cytospora erumpens; Morphology; Phylogenetic analysis English Final 2025 10.4489/kjm.2025.53.1.1 바로가기 바로가기
Article Multi-Robot Task Allocation Optimizer Using Seeding Genetic Algorithm Based on A* Algorithm and DBSCAN Clustering; [A* 알고리즘과 DBSCAN 군집화 기반 초깃값 생성 유전 알고리즘을 이용한 멀티 로봇 작업 할당 최적화 기법] In recent years, robotics technology has made significant advancements, particularly in multi-robot systems where efficient task allocation plays a crucial role in maximizing productivity and minimizing operational time. Previous research has explored various approaches to solving the Multi-Robot Task Allocation problem, but many have faced challenges in task distribution efficiency. To address this issue, we propose a Seeding Genetic Algorithm based on the A* algorithm and DBSCAN clustering. The A* algorithm performs path optimization in a grid environment with obstacles, while DBSCAN clusters tasks to enhance efficient task allocation. By seeding GA with these optimized solutions, the algorithm achieves faster convergence and higher solution quality. Simulations conducted on two maps with different robot configurations show that the A*-DBSCAN Seeding GA outperforms traditional GA and Greedy methods. The proposed method reduced the makespan, and its statistical significance was verified through ANOVA tests. This research contributes to improving multi-robot collaboration in industrial applications, offering an effective solution to the MRTA problem, reducing task completion time, and enhancing system efficiency. © The Korean Institute of Electrical Engineers. Seo, JangHo; Lee, Joonwoo School of Electronic and Electrical Engineering, Kyungpook National University, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, South Korea, Department of Electrical Engineering, Kyungpook National University, South Korea, Department of Robot and Smart System Engineering, Kyungpook National University, South Korea, Department of Smart Mobility Engineering, Kyungpook National University, South Korea, School of Aerospace Engineering Sciences, Kyungpook National University, South Korea 59422002900; 57209469100 jwl@knu.ac.kr; Transactions of the Korean Institute of Electrical Engineers 1975-8359 74 4 0 2025-05-07 0 A* Algorithm; DBSCAN; Genetic Algorithm; Industrial Applications; Makespan Minimization; Multi-Robot Task Allocation; Optimization; Path Planning; Seeding Genetic Algorithm; Task Clustering Industrial research; Industrial robots; Intelligent robots; Motion planning; Nanorobots; Robot applications; Robot programming; A* algorithm; DBSCAN; DBSCAN clustering; Makespan minimization; Multi-robot task allocation; Optimisations; Optimizers; Seeding genetic algorithm; Task allocation; Task clustering; Multipurpose robots Korean Final 2025 10.5370/kiee.2025.74.4.683 바로가기 바로가기
Article Non-orthogonal multiple access (NOMA), deep reinforcement learning (DRL), wireless network, resource allocation In recent years, Non-Orthogonal Multiple Access (NOMA) system has emerged as a promising candidate for multiple access frameworks due to the evolution of deep machine learning, trying to incorporate deep machine learning into the NOMA system. The main motivation for such active studies is the growing need to optimize the utilization of network resources as the expansion of the internet of things (IoT) caused a scarcity of network resources. The NOMA addresses this need by power multiplexing, allowing multiple users to access the network simultaneously. Nevertheless, the NOMA system has few limitations. Several works have proposed to mitigate this, including the optimization of power allocation known as joint resource allocation(JRA) method, and integration of the JRA method and deep reinforcement learning (JRA-DRL). Despite this, the channel assignment problem remains unclear and requires further investigation. In this paper, we propose a deep reinforcement learning framework incorporating replay memory with an on-policy algorithm, allocating network resources in a NOMA system to generalize the learning. Also, we provide extensive simulations to evaluate the effects of varying the learning rate, batch size, type of model, and the number of features in the state. © 2025, Korean Institute of Communications and Information Sciences. All rights reserved. Kim, WooSeok; Lee, Jeonghoon; Kim, Sangho; An, Taesun; Lee, WonMin; Kim, Dowon; Shin, Kyungseop Kyungpook National University, Graduate School of Data Science, South Korea; Kyungpook National University, Graduate School of Data Science, South Korea; Kyungpook National University, Graduate School of Data Science, South Korea; Kyungpook National University, Graduate School of Data Science, South Korea; Kyungpook National University, Graduate School of Data Science, South Korea; Kyungpook National University, Graduate School of Data Science, South Korea; Kyungpook National University, Graduate School of Data Science, South Korea 59761291100; 59762169400; 59760949900; 59761819100; 59761819200; 58995752800; 36926221200 ksshin@smu.ac.kr; Journal of Korean Institute of Communications and Information Sciences 1226-4717 50 3 0 2025-05-07 0 deep reinforcement learning (DRL); Non-orthogonal multiple access (NOMA); resource allocation; wireless network Korean Final 2025 10.7840/kics.2025.50.3.406 바로가기 바로가기
Conference paper Norns: Three Guides for Efficient Automatic Post-Fabrication Optimization of Modern NAND Flash Memory In order to meet the diverse requirements of modern storage systems, flash memory should be optimized by precisely tuning a huge number of internal operating parameters. Although 3D NAND flash memory successfully increases the capacity of storage systems, its complex architecture and unique error behavior make such optimization a more difficult and time-consuming process during NAND manufacturing. This work introduces Norns, a novel method for post-fabrication optimization of NAND flash memory, which is an essential step in the manufacturing process of modern 3D NAND flash memory to simultaneously meet various requirements on reliability, performance, yield, etc. Norns is based on simple machine-learning approaches yet with three key guidelines that leverage (i) domain-specific rules, (ii) recent optimization results, and (iii) online simulation, respectively, to enable quick optimization of a large number of device parameters within the limited product turnaround time (TAT). We evaluate Norns in mass production for 7th-generation QLC NAND flash memory and 8th-generation TLC NAND flash memory. Our Norns can achieve superior optimization over existing post-fabrication optimization techniques by showing significant performance and reliability improvements by up to 8.8% and 12% on average, respectively. © 2024 Copyright is held by the owner/author(s). Kim, Earl; Cho, Hyunuk; Cho, Sungjun; Kim, Myungsuk; Park, Jisung; Jeong, Jaeyong; Kim, Eunkyoung; Hur, Sunghoi Samsung Electronics, South Korea; POSTECH, South Korea; POSTECH, South Korea; Kyungpook National University, South Korea; POSTECH, South Korea; Samsung Electronics, South Korea; Samsung Electronics, South Korea; Samsung Electronics, South Korea 57444413800; 57336554900; 57217212078; 59480549000; 56095781900; 55838251000; 57443260800; 7004371434 jisung.park@postech.ac.kr; IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD 1092-3152 0 2025-05-07 0 evolutionary algorithm; machine learning; NAND flash memory; performance; post-fabrication optimization; reliability Quality control; Complex architectures; Fabrication optimization; Machine-learning; NAND flash memory; Operating parameters; Optimisations; Performance; Post-fabrication; Post-fabrication optimization; Storage systems; Fabrication English Final 2025 10.1145/3676536.3676825 바로가기 바로가기
Article Novel hemin-derived Fe/N–C magnetic catalyst for enhanced peroxymonosulfate activation and diclofenac degradation In this study, Fe involved N-doped carbon catalysts labelled as PA@Hemx (x = pyrolysis temperature) was synthesized through a one-step pyrolysis of hemin (Hem) and polyacrylate (PA). The reported method enables high dispersion and exposure of both Fe and N active sites on PA derived carbon. The PA@Hemx samples were then used for peroxymonosulfate (PMS) activated diclofenac (DCF) degradation. Results from the characterization studies verified the successful incorporation of hemin in the composite. Approximately 99.2 % DCF degradation at pH = 6.01 was achieved in 60 min using 0.1 g L−1 PA@Hem700 and 1.0 mM PMS. The pseudo-second-order kinetic model and Langmuir model were used to described the uptake and equilibrium process in DCF/PA@Hem700 system. Scavenging and electron-spin-resonance studies showed a non-radical singlet oxygen species (1O2) dominates over •OH and SO4•− radicals in the system. The role of electron transfer was also verified via chronoamperometry and electrochemical-impedance spectroscopy techniques. Furthermore, the PA@Hem700/PMS remained highly active towards DCF degradation even in the presence of common anions, humic acid, and various water matrices. The developed catalyst exhibited a TOC removal of 65.8 %. The study also established the potential of PA@Hem700/PMS to degrade other organic pollutants (e.g., tetracycline (TC), simazine (SIM), and sulfamethoxazole (SMX)). The results from this study are expected to advance research on synthesizing other novel polymer-based Fe/N–C catalysts for degrading organic pollutants. © 2025 Elsevier Ltd Aryee, Aaron Albert; Narendra Kumar, Alam Venugopal; Shin, Won Sik Department of Chemistry, College of Basic and Applied Sciences, University of Ghana, Legon, Ghana, School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, 41566, South Korea 57208484034; 39262149400; 23019870800 wshin@knu.ac.kr; Chemosphere 0045-6535 378 0 2025-05-07 0 Diclofenac; Fe/N–C catalyst; Hemin; Peroxymonosulfate; Polymer Carbon; Catalysis; Diclofenac; Hemin; Iron; Kinetics; Peroxides; Water Pollutants, Chemical; Bioremediation; Electron spin resonance spectroscopy; anion; carbon; diclofenac; hemin; iron; nickel; peroxymonosulfate; polyacrylic acid; polymer; reactive oxygen metabolite; simazine; sulfamethoxazole; sulfate; tetracycline; unclassified drug; water; carbon; peroxide; peroxymonosulfate; Diclofenac; Doped carbons; Fe/N–C catalyst; Hemin; Magnetic catalysts; N-doped; Organics; Peroxymonosulfate; Peroxymonosulfate activations; ]+ catalyst; activation energy; carbon nanotube; catalysis; catalyst; iron nanoparticle; photodegradation; pyrolysis; radical; reaction kinetics; reactive oxygen species; sulfate; adsorption kinetics; Article; catalyst; chronoamperometry; controlled study; degradation kinetics; dispersion; electrochemical analysis; electron spin resonance; electron transport; impedance spectroscopy; kinetic parameters; Langmuir Blodgett film; magnetic catalyst; magnetism; persistent organic pollutant; pH; physical chemistry; pyrolysis; temperature; catalysis; chemistry; kinetics; water pollutant; Pyrolysis English Final 2025 10.1016/j.chemosphere.2025.144388 바로가기 바로가기
Conference paper On Holomorphicity of Totally Geodesic Isometry Between Bounded Symmetric Domains In this article, we survey the resent results on the holomorphicity of totally geodesic discs in bounded symmetric domains and holomorphicity of totally geodesic isometric maps between bounded symmetric domains with respect to the Bergman metric and the Kobayashi metric. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Kim, Sung-Yeon; Seo, Aeryeong Center for Complex Geometry, Institute for Basic Science, 55, Expo-ro, Daejeon, Yuseong-gu, 34126, South Korea; Department of Mathematics, Kyungpook National University, Daegu, 41566, South Korea 34770750400; 55266222700 aeryeong.seo@knu.ac.kr; Springer Proceedings in Mathematics and Statistics 2194-1009 481 0 2025-05-07 0 32F45; 32M15; 32Q45; 53C35; Bergman metric; Bounded symmetric domain; Holomorphicity; Kobayashi metric; Totally geodesic isometric embedding 32f45; 32m15; 32q45; 53c35; Bergman metric; Bounded symmetric domain; Holomorphicity; Isometric embeddings; Kobayashi metric; Symmetric domains; Totally geodesic; Totally geodesic isometric embedding; Geodesy English Final 2025 10.1007/978-981-96-0447-0_9 바로가기 바로가기
Article Optical clearing of apple tissues for in vivo imaging of the pathogenic behavior of the fungus Botryosphaeria dothidea on host surfaces Optical clearing of apple tissues was performed to observe the pre-penetration behavior of Botryosphaeria dothidea. Mature red fruits and two-year-old twigs were artificially inoculated with the fungal conidia. Fruit epidermis and twig cork tissues were excised and immersed overnight in an ethanol-chloroform solution amended with trichloroacetic acid. Lactophenol cotton blue was used to stain the fungus on the host surfaces. The morphology and behavior of the inoculated B. dothidea could be clearly observed in the two types of optically cleared specimens. The conidia showed either monopolar or bipolar germination, leading to the emergence of germ tubes from one or both conidial ends. Conidia formed appressoria at the terminal ends of germ tubes. They appeared round, hook-shaped, and irregular-shaped in two-dimensional light micrographs. Multiple appressoria were observed on the suberized phellem cells in twig lenticels. These results suggest that the optical clearing technique and fungal staining were effective in partially decolorizing apple tissues and revealing the fungal structures on the host surfaces. © The Author(s) 2025. Kim, Ki Woo; Park, Eun Woo Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea, Department of Forest Ecology and Protection, Kyungpook National University, Sangju, 37224, South Korea, Tree Diagnostic Center, Kyungpook National University, Sangju, 37224, South Korea; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea, Field Support Education Division, EPINET, Pyeongchang, 25354, South Korea 57201369889; 55667202100 kiwoo@knu.ac.kr; ewpark@epinet.kr; Applied Microscopy 2287-5123 55 1 0 2025-05-07 0 Anthocyanin; Appressoria; Germination; Pigment; Scattering Candida; Apple tissue; Appressorium; Chloroform solutions; Germ tubes; In-Vivo imaging; Monopolar; Optical clearing; Pathogenics; Penetration behavior; Two-dimensional; Yeast English Final 2025 10.1186/s42649-025-00110-w 바로가기 바로가기
Article Optimization of Hemp Seed-Derived Protein Extraction Conditions as a Future Alternative Protein Source Using Response Surface Methodology and Its Utilization; [반응표면분석을 통한 미래 대체단백소재로서 헴프씨드 유래 단백질 추출 조건 최적화 및 활용] Hemp seed is an emerging plant-based protein source with high protein content and functional amino acids such as glutamate and arginine. This study aimed to optimize the protein extraction conditions from unmarketable defatted hemp seed powder using response surface methodology (RSM). Independent variables included extraction temperature (30-70℃), extraction time (10-60 min), and pH (8-10). The optimal extraction conditions were determined to be 50℃, 60 min, and pH 10. To improve protein recovery, a two-step extraction process was applied, and the composition of the extracted protein was analyzed using SDS-PAGE. The results showed that the first extraction contained a diverse range of hemp seed proteins, while SDS-PAGE revealed that the second extraction was predominantly composed of edestin. Antioxidant activity was assessed through DPPH and ABTS radical scavenging assays, revealing significantly higher activity in the first extraction compared to the second. These findings suggest that defatted hemp seed powder, a byproduct of oil extraction, can be effectively utilized as a sustainable protein source through food upcycling. © 2025, The Korean Society for Microbiology and Biotechnology. Kim, Suh Hyuk; Hwang, Hee Joo; Choe, Deokyeong; Kim, Yeong Min; Kim, Dong Hyun School of Food Science & Biotechnology, Kyungpook National University, Daegu, 41566, South Korea; Department of Integrative Biology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science & Biotechnology, Kyungpook National University, Daegu, 41566, South Korea; Research Institute of Tailored Food Technology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science & Biotechnology, Kyungpook National University, Daegu, 41566, South Korea, Department of Integrative Biology, Kyungpook National University, Daegu, 41566, South Korea, Research Institute of Tailored Food Technology, Kyungpook National University, Daegu, 41566, South Korea 59969222200; 59517261900; 37074453400; 59968639300; 55574224522 dhkim85@knu.ac.kr; Microbiology and Biotechnology Letters 1598-642X 53 2 0 alternative future protein; antioxidant; Hemp seed protein; response surface methodology Korean Final 2025 10.48022/mbl.2503.03012 바로가기 바로가기
Article Optimization of Manufacturing Conditions for Radiation-Crosslinked Hydrogels - Part 2: Investigation of Optimal Conditions Using Response Surface Methodology -; [방사선 가교 기반 하이드로겔의 제조 조건 최적화 연구 - 제 2보: 반응표면분석법을 이용한 최적 조건 탐색 -] Electron beam crosslinking is a highly efficient technique that forms crosslinked structures without harmful chemical crosslinkers or catalysts, eliminating the need for additional washing or sterilization. This makes it time- and energy-efficient. In this study, hydrogels were successfully prepared using carboxymethyl cellulose (CMC), a material with excellent hydrophilicity, biodegradability, and non-toxicity, and citric acid (CA), a natural polymer, as a crosslinking agent through electron beam irradiation. To determine optimal mixing conditions, response surface analysis was conducted using the central composite design (CCD) methodology. Results showed that CMC had the most significant impact on the water absorption performance of hydrogels. Excessively low (4.2wt%) or high (9.8wt%) CMC concentrations reduced water absorption. The regression model demonstrated high reliability with an R2 value of 0.91. Based on the response model, optimal conditions for hydrogel preparation were identified as 9.17wt% CMC and 2.92wt% CA. Under these conditions, the predicted water absorption was approximately 79.5 g/g. Validation experiments confirmed these findings, with actual water absorption at 83.8 g/g, showing a +5% error rate. This study provides a predictive model for estimating water absorption based on specific CMC and CA concentrations. © 2025 Korean Technical Assoc. of the Pulp and Paper Industry. All rights reserved. Choi, Sa Rang; Park, So Yeong; Im, Hyeon Ji; Kim, Jin-Hyeong; Lee, Jung Myoung Agricultural Science and Technology Research Institute, Kyungpook National University, South Korea; Dept. of Wood and Paper Science, School of Forestry, Science and Landscape Architecture, Kyungpook National University, South Korea; Dept. of Wood and Paper Science, School of Forestry, Science and Landscape Architecture, Kyungpook National University, South Korea; GEV Co. Ltd., South Korea; Dept. of Wood and Paper Science, School of Forestry, Science and Landscape Architecture, Kyungpook National University, South Korea 57208283768; 59523425400; 59505190200; 58139540000; 16197909600 jmylee@knu.ac.kr; Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry 0253-3200 57 1 0 2025-05-07 0 Carboxymethyl cellulose; citric acid; electron beam; hydrogel; irradiation crosslinking Carboxymethyl Cellulose; Electrons; Experimentation; Structures; Surfaces; Water Absorption; Crosslinking; Carboxymethyl cellulose; Cross-linked hydrogels; Crosslinked structures; Electron-beam; Electron-beam crosslinking; Irradiation crosslinking; Manufacturing conditions; Optimal conditions; Optimisations; Response-surface methodology; Paper and pulp industry Korean Final 2025 10.7584/jktappi.2025.2.57.1.41 바로가기 바로가기
Book chapter Overview of the characterization of extracellular vesicles Extracellular vesicles (EVs) are a captivating domain in cell biology, reshaping our understanding of intercellular communication. Initially dismissed as debris, EVs are now vital mediators in physiological and pathological processes. This chapter provides a comprehensive overview of EV research, spanning background, significance, biological diversity, characterization methods, challenges, and prospects. Characterizing EVs is crucial due to their diverse cargo, which is essential for biomedical applications. Their potential as diagnostic tools and therapeutics is emphasized. Biological diversity is explored, categorizing EVs into subtypes and elucidating their origin and roles. The chapter outlines methods for EV characterization, including isolation and physical techniques, and also discusses molecular profiling methods. Moreover, it covers the promise of innovation and collaboration to overcome challenges in EV research, leading to breakthroughs and advancing disease diagnosis and treatment through personalized medicine using EVs. © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Rajendran, Ramya Lakshmi; Nagarajan, ArulJothi Kandasamy; Oh, Ji Min; Gangadaran, Prakash; Ramani, Prasanna; Ahn, Byeong-Cheol Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea, Cardiovascular Research Institute, Kyungpook National University, Daegu, South Korea, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu, South Korea; Integrative Genetics and Molecular Oncology Group, Department of Genetic Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Chengalpattu, India; Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea, Cardiovascular Research Institute, Kyungpook National University, Daegu, South Korea; Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea, Cardiovascular Research Institute, Kyungpook National University, Daegu, South Korea, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu, South Korea; Dhanvanthri Laboratory, Department of Chemistry, Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, Tamil Nadu, Coimbatore, India, Center of Excellence in Advanced Materials & Green Technologies (CoE–AMGT), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Tamil Nadu, Coimbatore, India; Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea, Cardiovascular Research Institute, Kyungpook National University, Daegu, South Korea, BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu, South Korea, Department of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea 57195318729; 59503384300; 57190370462; 54393130400; 55761773500; 7202791511 Extracellular Vesicles for Therapeutic and Diagnostic Applications 0 2025-05-07 0 exosome; Extracellular vesicles; isolation; molecular profiling; physical characterization English Final 2025 10.1016/b978-0-443-23891-8.00001-9 바로가기 바로가기
Editorial Patient-specific instrumentation in shoulder arthroplasty: high tech, low yield? [No abstract available] Yoon, Jong Pil Department of Orthopedic Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea 36098548400 altjp1@gmail.com; Clinics in Shoulder and Elbow 2383-8337 28 2 N/A 0 English Final 2025 10.5397/cise.2025.00423 바로가기 바로가기
Article Photovoice as a visual–verbal strategy to develop student’s representation and meta-representation skills in landscape education This study examines a participatory community-based research project in which young people explore various ‘globalization landscapes’ represented in their daily lives. In this photovoice project, each student applies the concept of globalization landscapes that they learned in the classroom to the local community where they live, takes photos of the globalization landscapes represented in their place, and selects the most appropriate case. Then, with their own voices or narratives, students present their chosen interpretations of the photographs that depict globalized landscapes. As a result of this study, it was found that the photovoice project contributed to the improvement of students’ representation and meta-representation competencies in representing the landscape of globalization. We also propose that as a pedagogical tool, photovoice provides a set of pedagogical values for educators. For example, photovoice enables the visualization of young people’s daily experiences, elicits personal meaning and emotion, promotes real-life and active learning, evokes critical consciousness, and strengthens students’ visual literacy and meta-representation competency in terms of their visual reading, writing, and thinking. © 2025 by the authors; licensee Modestum. Cho, Chul-Ki; Kim, Hyo-Jeong; Song, Wonseob Department Of Geography Education, Kyungpook National University, Daegu, South Korea; Department Of Geography Education, Kyungpook National University, Daegu, South Korea; Department Of Geography Education, Jeju National University, Jeju, South Korea 57221970337; 59925181500; 57216881003 ckcho@knu.ac.kr; Eurasia Journal of Mathematics, Science and Technology Education 1305-8215 21 5 0 2025-06-11 0 globalization; landscape; photovoice; representation and meta-representation competency; visual literacy English Final 2025 10.29333/ejmste/16395 바로가기 바로가기
Article Phylogenetic analysis of Perilla crop (Perillafrutescens L.) based on morphological characteristics and volatile substances East Asia is the primary growing region for the two varieties of Perilla crop. Especially in South Korea,Perilla crop is a representative leafy vegetable. Each type of Perilla crop has various uses as leafy vegetables, oil crops, or folk remedies. Their distinct morphological traits and aromatic compounds allow identification of three types [cultivated type of var. frutescens (CF), weedy type of var. frutescens (WF), weedy type of var. crispa (WC)] of Perilla crop and five groups (G1-G5), which are based on an aroma sensory phenotypic test. To understand the morphological variation, we conducted a morphological characteristic survey; 80 Perilla accessions collected from South Korea were evaluated using 13 quantitative and nine qualitative characteristics. The three types (CF, WF, WC) of Perilla were divided into five groups based on the aroma sensory phenotypic test and included three representative aromatic compounds [perilla aldehyde (PA), perilla ketone (PK), dill apiol] characterizing each group. Principal component analysis revealed that PK, PA, plant height, and leaf area provided a remarkable contribution in the positive or negative direction on the first component axis. Also, discrimination between [G1, G2, G5] and [G3, G4] on the first component axis was enabled by PK and leaf area. The color of leaf surface and PK (- 0.794**) showed the highest correlation coefficient between morphological characteristics and biochemicals. As responses to the popularization of Korean food are gradually expanding, this study is expected to provide useful information for Perilla fragrance breeding using Korean Perilla landrace accessions. Cho, Jungeun; Park, Hyeon; Heo, Tae Hyeon; Sa, Kyu Jin; Lee, Ju Kyong Kangwon Natl Univ, Coll Agr & Life Sci, Dept Appl Plant Sci, Chunchon 24341, South Korea; Kangwon Natl Univ, Interdisciplinary Program Smart Agr, Chunchon 24341, South Korea; Kyungpook Natl Univ, Coll Ecol & Environm Sci, Dept Crop Sci, Sangju 37224, South Korea 58498974000; 57211708685; 58092349700; 36698953300; 7601470590 jukyonglee@kangwon.ac.kr; GENETIC RESOURCES AND CROP EVOLUTION GENET RESOUR CROP EV 0925-9864 1573-5109 72 3 SCIE AGRONOMY;PLANT SCIENCES 2024 N/A 0 2025-05-07 2 2 Perilla crop; Morphological traits; Aromatic compounds; Hierarchical clustering; Principal component analysis; Correlation analysis ESSENTIAL OIL; WEEDY TYPES; FRUTESCENS; YIELD; DIVERSITY; HYDRODISTILLATION; EXTRACTION Aromatic compounds; Correlation analysis; Hierarchical clustering; Morphological traits; Perilla crop; Principal component analysis South Korea; aromatic hydrocarbon; biochemical composition; correlation; crop yield; herb; leaf area; medicinal plant; morphology; phylogenetics; principal component analysis; volatile substance English 2025 2025-03 10.1007/s10722-024-02137-6 바로가기 바로가기 바로가기 바로가기
Review Phylogeny, Morphology, Epidemiology, and Control Strategies for Plurivorosphaerella nawae, the Causal Agent of Circular Leaf Spot in Persimmon; [감나무 둥근무늬낙엽병을 일으키는 Plurivorosphaerella nawae의 계통 발생학, 형태학, 병원학 및 방제 전략] Circular leaf spot (CLS), caused by the ascomycetous fungus Plurivorosphaerella nawae Hassan & T. Chang, comb. nov. (formerly Mycosphaerella nawae), is a significant disease affecting persimmons worldwide. Phylogenetic and morphological analyses have led to the reclassification of M. nawae, now placed in the newly established holomorphic genus Plurivorosphaerella within the Mycosphaerellaceae family. Seasonal monitoring showed that the release of P. nawae ascospores from pseudothecia occurred between May and September, peaking from mid-June to mid-July. A strong correlation was observed between water - dispersed ascospores and cumulative rainfall. Disease symptoms first appeared in late August, with the highest disease incidence recorded in mid-October. Infected leaves showed significantly higher levels of phenolic compounds, vitamin C, and antioxidant activity compared to healthy older leaves and the unaffected portions of infected leaves. These elevated levels in younger leaves may contribute to resistance against CLS. The accumulation of phenolic compounds and antioxidants in infected leaves appears to be part of a post-infection response, marking an early defense mechanism in persimmons. A fungicide application program involving the sequential use of trifloxystrobin, difenoconazole + fluazinam, trifloxystrobin + tebuconazole, mancozeb, and mancozeb + myclobutanil at 15-day intervals, beginning in late June, was highly effective in controlling CLS. © The Korean Society of Plant Pathology. Hassan, Oliul; Chang, Taehyun Crop Protection Division, National Institute of Agricultural Science, Wanju, 55365, South Korea; Department of Crop Science, College of Ecology and Environmental Sciences, Kyungpook National University, Sangju, 37224, South Korea 12762464400; 55301101700 thchang@knu.ac.kr; Research in Plant Disease 1598-2262 31 1 0 2025-05-07 0 Ascospores; Circular leaf spot; Persimmon; Phenolic compound; Plurivorosphaerella nawae Korean Final 2025 10.5423/rpd.2025.31.1.1 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.