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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 |
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| ○ | Conference paper | GNN-Based Data Rate Maximization in Double Intelligent Reflecting Surface (IRS)-Aided Communication System | This paper explores the utilization of double intelligent reflecting surfaces (IRSs) in wireless communication systems to enhance signal propagation. By dynamically adjusting the reflecting elements of the IRSs, we can efficiently manipulate the signal direction to improve the communication performance such as data rate. Nonetheless, due to the passive nature of the reflecting elements, it is quite challenging to accurately measure the channels directly between the base station (BS), the IRS, and the users based on the conventional channel estimation methods. To address this, we propose to apply a machine learning algorithm that bypasses the traditional channel estimation process and optimizes system parameters by directly extracting information from the received pilot signal. Through extensive simulations, we demonstrate the effectiveness of our proposed method in enhancing the performance of wireless systems incorporating double IRSs. © 2023 IEEE. | Li, Kaixin; Peng, Limei; Ho, Pin-Han | School of Computer Science and Engineering, Kyungpook National University, Deagu, South Korea; School of Computer Science and Engineering, Kyungpook National University, Deagu, South Korea; University of Waterloo, Department of Electrical and Computer Engineering, Waterloo, ON, Canada | 58068987800; 7201574271; 7402211578 | auroraplm@knu.ac.kr; | Proceedings - 2023 International Conference on Networking and Network Applications, NaNA 2023 | 0 | 2025-06-25 | 0 | graph neural network (GNN); Intelligent reflecting surface (IRS); reconfig-urable intelligent surfaces (RIS) | Backpropagation; Channel estimation; Aided communication; Communications systems; Data-rate; Graph neural network; Graph neural networks; Intelligent reflecting surface; Network-based; Reconfig-urable intelligent surface; Reflecting elements; Reflecting surface; Graph neural networks | English | Final | 2023 | 10.1109/nana60121.2023.00080 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Article | Green chemistry approach for silver nanoparticles synthesis from Halimeda macroloba and their potential medical and environmental applications | This study aims to synthesize silver nanoparticles (AgNPs) using Halimeda macroloba extract and assess their anticancer and photocatalytic properties. Ultraviolet–visible spectrophotometry (UV–visible), Fourier transform infrared (FT-IR) spectroscopy, Transmission electron microscope (TEM), scanning electron microscope-energy-dispersive spectroscopy (SEM–EDX), X-ray photoelectron spectroscopy (XPS), and particle-size distribution (PSD) were used to characterize the synthesized AgNPs. The green-synthesized AgNPs to be spherical in shape with a size of about 50–100 nm. The half-maximal inhibitory concentration (IC50) for AgNPs was determined to be 89.5 g/mL against the human hepatoma cell line (Huh-7). Fluorescent microscopy was used to evaluate the morphological alterations of Huh-7 cells stained with acridine orange/ethidium bromide (AO/EtBr), 2′-7′dichlorofluorescin diacetate (DCFH-DA), and rhodamine 123. Meanwhile, AgNPs exhibited 91.35% photocatalytic activity against methylene blue (MB) after 100 min of exposure to sunlight. Therefore, AgNPs have a strong potential for usage in anticancer activities and photocatalytic organic pollutant destruction. © 2023, King Abdulaziz City for Science and Technology. | Lavanya, G.; Anandaraj, K.; Gopu, M.; Selvam, K.; Selvankumar, T.; Govarthanan, M.; Kumar, P. | PG & Research Department of Microbiology, Shanmuga Industries Arts & Science College, Tamil Nadu, Tiruvannamalai, 606 603, India; PG & Research Department of Microbiology, Shanmuga Industries Arts & Science College, Tamil Nadu, Tiruvannamalai, 606 603, India; PG & Research Department of Biotechnology, Mahendra Arts & Science College (Autonomous), Kalippatti, Tamil Nadu, Namakkal, 637 501, India; PG & Research Department of Biotechnology, Mahendra Arts & Science College (Autonomous), Kalippatti, Tamil Nadu, Namakkal, 637 501, India; PG & Research Department of Biotechnology, Mahendra Arts & Science College (Autonomous), Kalippatti, Tamil Nadu, Namakkal, 637 501, India; Department of Environmental Engineering, Kyungpook National University, Daegu, 41566, South Korea, Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India; Food Chemistry and Molecular Cancer Biology Laboratory, Department of Animal Health and Management, Alagappa University, Tamil Nadu, Karaikudi, 630003, India | 57767121900; 55647760200; 57218534890; 57197362853; 24485017700; 54881927600; 55173720800 | kanandaraj2010@gmail.com;kumarp@alagappauniversity.ac.in; | Applied Nanoscience (Switzerland) | 2190-5509 | 13 | 9 | 1.14 | 2025-06-25 | 9 | Anticancer activity; Green seaweeds; Halimeda macroloba; Photocatalytic activity; Silver nanoparticles | Aromatic compounds; Cell culture; Energy dispersive spectroscopy; Fourier transform infrared spectroscopy; High resolution transmission electron microscopy; Metal nanoparticles; Organic pollutants; Particle size; Particle size analysis; Photocatalytic activity; Scanning electron microscopy; Silver compounds; Synthesis (chemical); X ray photoelectron spectroscopy; Anticancer activities; Anticancer properties; Environmental applications; Green chemistry approaches; Green seaweed; Halimeda; Halimedum macroloba; Nanoparticle synthesis; Photocatalytic activities; Synthesised; Silver nanoparticles | English | Final | 2023 | 10.1007/s13204-023-02812-7 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | ○ | Article | Growth Increase in the Herbaceous Plant Centella asiatica by the Plant Growth-Promoting Rhizobacteria Priestia megaterium HyangYak-01 | Centella asiatica is a traditional herbaceous plant with numerous beneficial effects, widely known for its medicinal and cosmetic applications. Maximizing its growth can lead to beneficial effects, by focusing on the use of its active compounds. The use of plant growth-promoting rhizobacteria (PGPR) is known to be an alternative to chemical fertilizers. In this study, we used the PGPR Priestia megaterium HY-01 to increase the yield of C. asiatica. In vitro assays showed that HY-01 exhibited plant growth-promoting activities (IAA production, denitrification, phosphate solubilization, and urease activity). Genomic analyses also showed that the strain has plant growth-promoting-related genes that corroborate with the different PGP activities found in the assays. This strain was subsequently used in field experiments to test its effectiveness on the growth of C. asiatica. After four months of application, leaf and root samples were collected to measure the plant growth rate. Moreover, we checked the rhizosphere microbiome between the treated and non-treated plots. Our results suggest that treatment with Hyang-yak-01 not only improved the growth of C. asiatica (leaf length, leaf weight, leaf width, root length, root width, and chlorophyll content) but also influenced the rhizosphere microbiome. Biodiversity was higher in the treated group, and the bacterial composition was also different from the control group. | Jo, HyungWoo; Lim, Kyeongmo; Ibal, Jerald Conrad; Kim, Min-Chul; Kim, Hye-Been; Baek, Chaeyun; Heo, Young Mok; Lee, Haeun; Kang, Seunghyun; Lee, Dong-Geol; Shin, Jae-Ho | COSMAX BTI, R&I Ctr, Seongnam 13486, South Korea; Dankook Univ, Dept Microbiol, Cheonan 31116, South Korea; Kyungpook Natl Univ, Dept Appl Biosci, Daehak Ro 80, Daegu 41566, South Korea; Kyungpook Natl Univ, NGS Core Facil, Daehak Ro 80, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Integrat Biotechnol, Daehak Ro 80, Daegu 41566, South Korea | ; Ibal, Jerald/JYQ-0493-2024; Lee, Dong-geol/AAI-2838-2021; Heo, Young/AAC-4531-2019 | 57197827666; 57805008000; 57196117664; 57203466596; 57211373245; 57196098084; 56742828400; 57315912100; 57188724232; 55559897800; 57224125922 | chohw@cosmax.com;lkm3519@knu.ac.kr;jerald.ibal@gmail.com;sksalscjf12@naver.com;kimhb@cosmax.com;cybaek@cosmax.com;ymheo@cosmax.com;haeun.lee@cosmax.com;shyunk@cosmax.com;leedg@cosmax.com;jhshin@knu.ac.kr; | PLANTS-BASEL | 2223-7747 | 12 | 13 | 1.57 | 2025-06-25 | 7 | 8 | biofertilizer; Centella asiatica; microbiome; plant growth-promoting activity; Priestia megaterium | INDOLE-3-ACETIC-ACID IAA; BREEDING TECHNOLOGIES; PGPR BACILLUS; RHIZOSPHERE; INOCULATION; SUBTILIS; HEALTHY; SOIL | biofertilizer; Centella asiatica; microbiome; plant growth-promoting activity; Priestia megaterium | English | 2023 | 2023-07 | 10.3390/plants12132398 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Article | Hemorrhagic disease caused by bovine viral diarrhea virus-2a in Korean Indigenous Cattle: case reports | Two 1-year-old Korean native steers in the same herd presented severe hemorrhagic diarrhea. Case 1 had severe dehydration and died after 3 days, whereas case 2 had anorexia, depression, and severe diarrhea with mucus and blood. Only case 2 was necropsied, and bovine viral diarrhea virus-2a (BVDV2a) was detected in the tissues of its alimentary tract. Gross lesions, including erosion, ulceration, and extensive hemorrhage, were observed in the digestive tract mucosa. Immunohistochemistry revealed marked positive staining for BVDV2a antigen in the large intestine. These findings are indicative of hemorrhagic disease caused by BVDV2a in a native Korean steer. © 2023 The Korean Society of Veterinary Science. | Cho, Hyung-Chul; Kim, Byoung-Soo; Jang, Dong-Hun; Lee, Kyung-Hyun; Choi, Kyoung-Seong | Department of Animal Science and Biotechnology, College of Ecology and Environmental Science, Kyungpook National University, Sangju, 37224, South Korea; Yeongkwang Veterinary Clinic, Yeongkwang, 57043, South Korea; Department of Animal Science and Biotechnology, College of Ecology and Environmental Science, Kyungpook National University, Sangju, 37224, South Korea; Animal Disease Diagnostic Division, Animal and Plant Quarantine Agency, Gimcheon, 39660, South Korea; Department of Animal Science and Biotechnology, College of Ecology and Environmental Science, Kyungpook National University, Sangju, 37224, South Korea | 57219427000; 59273854400; 57219426751; 35183367100; 7403949556 | kschoi3@knu.ac.kr; | Korean Journal of Veterinary Research | 2466-1384 | 63 | 1 | 0 | 2025-06-25 | 0 | bovine viral diarrhea virus; erosion; extensive hemorrhage; hemorrhagic diarrhea; immunohistochemistry; ulceration | English | Final | 2023 | 10.14405/kjvr.20230005 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | HFGCN: High-speed and Fully-optimized GCN Accelerator | graph convolutional network (GCN) is a type of neural network that inference new nodes based on the connectivity of the graphs. GCN requires high-calculation volume for processing, similar to other neural networks requiring significant calculation. In this paper, we propose a new hardware architecture for GCN that tackles the problem of wasted cycles during processing. We propose a new scheduler module that reduces memory access through aggregation and an optimized systolic array with improved delay. We compare our study with the state-of-the-art GCN accelerator and show outperforming results. | Han, MinSeok; Kim, Jiwan; Kim, Donggeon; Jeong, Hyunuk; Jung, Gilho; Oh, Myeongwon; Lee, Hyundong; Go, Yunjeong; Kim, HyunWoo; Kim, Jongbeom; Song, Taigon | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea | 58310161300; 58310161400; 58310545400; 58309586100; 58310545500; 58309194600; 57226892881; 58309775700; 59862730600; 57782068500; 36005021000 | alstjr7442@knu.ac.kr;tsong@knu.ac.kr; | 2023 24TH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN, ISQED | 1948-3287 | 0 | 2025-06-25 | 0 | 0 | Memory architecture; Convolutional networks; Hardware architecture; High Speed; Memory access; Neural-networks; Node-based; State of the art; Systolic arrays | English | 2023 | 2023 | 10.1109/isqed57927.2023.10129340 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Conference paper | High-gain Floating Double Series-capacitor Boost Converter | The floating double boost converter (FBC), including two single boost converters, is a solution for fuel-cell and renewable energy applications. To reduce the inductor currents in the FBC converter, the interleaved boost converters (IBC) are used instead of single boost converters so that the four-phase floating interleaved boost converter (4P-FBC) is formed. However, it is well known that the IBC suffers a significant problem with the unbalanced inductor currents issue, leading to high input current ripple. This paper proposed a floating double series-capacitor boost (FSCB) converter to solve the problem. Moreover, the voltage gain is improved by more than double, and the input current ripple can be minimized. As a result, the proposed converter is suitable for new energy sources, such as fuel-cell and photovoltaic. A 1.6 kW prototype was built and tested to verify the performance of the proposed converter. © 2023 The Korean Institute of Power Electronics. | Bui, Van-Dai; Cha, Honnyong; Tran, Thien-Dung | Kyungpook National University, School of Energy Engineering, South Korea, Thuyloi University, Hanoi, Viet Nam; Kyungpook National University, School of Energy Engineering, South Korea; Kyungpook National University, School of Energy Engineering, South Korea | 57221961296; 24450248400; 58572374600 | daibv@tlu.edu.vn; | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics | 4.57 | 2025-06-25 | 7 | current balancing; current ripple; floating boost converter; high gain boost converter; input-parallel output-series; interleaved; series-capacitor converter | Fuel cells; Power electronics; BOOST converter; Current balancing; Current ripples; Floating boost converter; Gain boost; High gain; High gain boost converter; Input-parallel output-series; Interleaved; Output series; Parallel output; Series capacitors; Series-capacitor converter; Boost converter | English | Final | 2023 | 10.23919/icpe2023-ecceasia54778.2023.10213532 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Proceedings Paper | High-throughput PIM (Processing in-Memory) for DRAM using Bank-level Pipelined Architecture | Artificial intelligence (AI) is a technology requires massive computation. Among many solutions that accelerate AI for faster computation and low power, processing-in-memory (PIM) is a promising candidate. In this paper, we propose a PIM architecture of DRAM via custom pipelining. Our architecture proposes pipelining of operation units that leads to massive throughput, where an operation unit consists of eight banks. Our optimized pipelined architecture shows a -19.16% reduction in power-delay-product (PDP) per area and 24.1% better throughput compared to the latest DRAM PIM architecture with only 0.7% area overhead. | Lee, Hyunsoo; Lee, Hyundong; Shin, Minseung; Shin, Gyuri; Jeon, Sumin; Song, Taigon | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea | 58882643100; 57226892881; 58882354300; 58845116200; 58882785400; 36005021000 | leehss98@knu.ac.kr;tsong@knu.ac.kr; | 2023 20TH INTERNATIONAL SOC DESIGN CONFERENCE, ISOCC | 2163-9612 | 0 | 2025-06-25 | 0 | 0 | processing in-memory (PIM); Pipelining; DRAM | DRAM; Pipelining; processing in-memory (PIM) | Dynamic random access storage; Pipeline processing systems; Pipelines; % reductions; Computation power; Fast computation; High-throughput; Low-power processing; Operations units; Pipelined architecture; Pipelining; Processing in-memory; Processing-in-memory; Memory architecture | English | 2023 | 2023 | 10.1109/isocc59558.2023.10396302 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Conference paper | Highly directional plasmomechanic stretchable strain sensor | We report asymmetric tuning of nanogap resonance between gold nanoparticles (Au NPs), deposited on anisotropically stretchable polydimethylsiloxane (PDMS) for directional strain sensing. The alternate high and low Young's modulus PDMS line patterns induce anisotropic Poisson's effect (0.45 to 0.61), resulting in direction-dependent plasmon resonance between the Au NPs. For the light polarized perpendicular to the stretching direction, the maximum absorbance peak shift of ~90.85 nm and ~39.13 nm is achieved for 0 = 0° and 0 = 90° direction, respectively. © 2023, META Conference. All rights reserved. | Nauman, Asad; Lee, Jae-Won; Choi, Jun-Chan; Khaliq, Hafiz Saad; Wang, Junkai; Kim, Hak-Rin | School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; Soft Hybrid Materials Research Center, Korea Institute of Science and Technology, Seoul, 02792, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea, School of Electronics, Kyungpook National University, Daegu, 41566, South Korea | 57796499100; 58377059800; 57033068900; 56725698200; 57957421500; 7410124944 | rineey@knu.ac.kr; | International Conference on Metamaterials, Photonic Crystals and Plasmonics | 2429-1390 | 0 | 2025-06-25 | 0 | English | Final | 2023 | 바로가기 | |||||||||||||||||||||
| ○ | Book chapter | HISTORY OF INTERPRETING IN THE JOSEON DYNASTY: Six selected interpreting officials | Neighboring China and Japan, Joseon had a specialized institution called sayeokwon for diplomatic affairs, teaching foreign languages and training interpreting officials, which lasted until almost the end of the Joseon dynasty. Established at the end of Goryeo (1389), this institution temporarily disappeared from history with the fall of the kingdom. In 1393, it reappeared in the annals of the Joseon dynasty in a sentence that calls to “install sayeokwon and teach Chinese.” Mongolian, Japanese, and Jurchen (later changed to Manchu) were included subsequently. Interpreters played a practical and important role in diplomatic relations from the beginning of the dynasty; they taught foreign languages and left behind textbooks. The royal court was well aware of the importance of foreign languages and communication but the status of yeokgwan, or interpreters, was not high because they mainly handled tasks involving words, public trade, and commerce, and stemmed from the middle-class or lower. Promotions were strictly limited, although there were some exceptional figures. The present study outlines the path to becoming an official interpreter in the Joseon dynasty following a brief historic background of that time. From an estimated 3,000 and more interpreting officials, six extraordinary yeokgwan are introduced. The study attempts to chart a new approach to present a socio-cultural history of interpreting officials. © 2024 selection and editorial matter, Riccardo Moratto and Hyang-Ok Lim; individual chapters, the contributors. | Kim, Nam Hui | Department of German Language and Literature, Kyungpook National University, Daegu, South Korea | 57226078014 | The Routledge Handbook of Korean Interpreting | 0 | 2025-06-25 | 0 | English | Final | 2023 | 10.4324/9781003349723-5 | 바로가기 | 바로가기 | |||||||||||||||||||||
| ○ | Conference paper | Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation | Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis tasks. However, the existing contrastive mechanisms are sub-optimal for dense pixel-level segmentation tasks due to their inability to mine local features. To this end, we extend the concept of metric learning to the segmentation task, using a dense (dis)similarity learning for pre-training a deep encoder network, and employing a semi-supervised paradigm to fine-tune for the downstream task. Specifically, we propose a simple convolutional projection head for obtaining dense pixel-level features, and a new contrastive loss to utilize these dense projections thereby improving the local representations. A bidirectional consistency regularization mechanism involving two-stream model training is devised for the downstream task. Upon comparison, our IDEAL method outperforms the SoTA methods by fair margins on cardiac MRI segmentation. Our source codes are publicly accessible at: https://github.com/Rohit-Kundu/IDEAL-ICASSP23. © 2023 IEEE. | Basak, Hritam; Chattopadhyay, Soumitri; Kundu, Rohit; Nag, Sayan; Mallipeddi, Rammohan | Stony Brook University, United States; Jadavpur University, India; Jadavpur University, India; University of Toronto, Canada; Kyungpook National University, South Korea | 57221149969; 57289784800; 57222071191; 59433201700; 25639919900 | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 1520-6149 | 2023-June | 2.34 | 2025-06-25 | 6 | Contrastive learning; MRI; Segmentation; Semi-supervised learning | Computer vision; Image enhancement; Image segmentation; Medical imaging; Pixels; Contrastive learning; Down-stream; Labeled data; Learning frameworks; Medical image analysis; Medical image segmentation; Pixel level; Segmentation; Semi-supervised; Semi-supervised learning; Magnetic resonance imaging | English | Final | 2023 | 10.1109/icassp49357.2023.10094869 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Article | Identification and role of opinion leaders in information diffusion for online discussion network | Social networks are playing a vibrant role in spreading information among its users. With the ongoing boom in technology, social networks are becoming very popular nowadays and are made up of a multitude of users. Some of these users may have a strong influence on the other network users depending on their uncommon elevated values of betweenness centrality (BC). In the online discussion network such as Twitter, the extremely important users are called Opinion Leaders, who play a vital role in the spread of information in an efficient and fast way and keep the isolates interested in the online discussion network. One of the most significant problems in the associated sector is the identification of opinion leaders. In this paper, opinion leaders are chosen based on various centrality measures. The central users are identified based on their in-degree and out-degree links and are ranked within the network by their BC values. Furthermore, we analyze community evolution by using the standard Louvain algorithm. The experiment is performed on publicly available Higgs Boson data from Twitter. The conversation starter and influencer have been observed as an opinion leader for each network. These users have been observed to play a crucial part in the dissemination of information in an online discussion network. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. | Rehman, Ateeq Ur; Jiang, Aimin; Rehman, Abdul; Paul, Anand; din, Sadia; Sadiq, Muhammad Tariq | College of Internet of Things Engineering, Hohai University, Changzhou, 213022, China; College of Internet of Things Engineering, Hohai University, Changzhou, 213022, China; Department of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Automation, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an, 710072, China | 57210246601; 18134053400; 57200894071; 56650522400; 57188997144; 57211516602 | paul.editor@gmail.com; | Journal of Ambient Intelligence and Humanized Computing | 1868-5137 | 14 | 11 | 3.47 | 2025-06-25 | 47 | Centrality; Complex networks; Opinion leaders; Social networks; Twitter | Bosons; Social networking (online); Social sciences computing; Betweenness centrality; Centrality; Centrality measures; Information diffusion; Network users; Online discussions; Opinion leaders; Social network; Spread of informations; Twitter; Complex networks | English | Final | 2023 | 10.1007/s12652-019-01623-5 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | ○ | Article | Identification of a Major Locus for Lodging Resistance to Typhoons Using QTL Analysis in Rice | We detected a new target quantitative trait locus (QTL) for lodging resistance in rice by analyzing lodging resistance to typhoons (Maysak and Haishen) using a scale from 0 (no prostrating) to 1 (little prostrating or prostrating) to record the resistance score in a Cheongcheong/Nagdong double haploid rice population. Five quantitative trait loci for lodging resistance to typhoons were detected. Among them, qTyM6 and qTyH6 exhibited crucial effects of locus RM3343-RM20318 on chromosome 6, which overlaps with our previous rice lodging studies for the loci qPSLSA6-2, qPSLSB6-5, and qLTI6-2. Within the target locus RM3343-RM20318, 12 related genes belonging to the cytochrome P450 protein family were screened through annotation. Os06g0599200 (OsTyM/Hq6) was selected for further analysis. We observed that the culm and panicle lengths were positively correlated with lodging resistance to typhoons. However, the yield was negatively correlated with lodging resistance to typhoons. The findings of this study improve an understanding of rice breeding, particularly the culm length, early maturing, and heavy panicle varieties, and the mechanisms by which the plant's architecture can resist natural disasters such as typhoons to ensure food safety. These results also provide the insight that lodging resistance in rice may be associated with major traits such as panicle length, culm length, tiller number, and heading date, and thereby improvements in these traits can increase lodging resistance to typhoons. Moreover, rice breeding should focus on maintaining suitable varieties that can withstand the adverse effects of climate change in the future and provide better food security. | Zhao, Dan-Dan; Jang, Yoon-Hee; Kim, Eun-Gyeong; Park, Jae-Ryoung; Jan, Rahmatullah; Lubna; Asaf, Sajjad; Asif, Saleem; Farooq, Muhammad; Chung, Hyunjung; Kang, Dong-Jin; Kim, Kyung-Min | Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Rural Dev Adm, Natl Inst Crop Sci, Crop Fdn Res Div, Wonju 55365, South Korea; Rural Dev Adm, Natl Inst Crop Sci, Crop Breeding Div, Wonju 55365, South Korea; Kyungpook Natl Univ, Coastal Agr Res Inst, Daegu 41566, South Korea; Univ Nizwa, Nat & Med Sci Res Ctr, Nizwa 616, Oman; Hirosaki Univ, Fac Agr & Life Sci, Teaching & Res Ctr Biocoexistence, Gosyogawara 0370202, Japan | ; Asaf, Sajjad/ABA-3647-2021; Kim, Kyung-Min Kim/C-7007-2014; Jan, Rahmatullah/AIC-3439-2022; ZHAO, DANDAN/HIK-2130-2022 | 57459517300; 57219901992; 57221496070; 57211205505; 57201981969; 57200621537; 56595059900; 57396413700; 57215544380; 55910719700; 56299257300; 34868260300 | chunghyunjung@korea.kr;djkang@hirosaki-u.ac.jp;kkm@knu.ac.kr; | PLANTS-BASEL | 2223-7747 | 12 | 3 | 1.77 | 2025-06-25 | 8 | 9 | quantitative trait locus; lodging resistance; typhoon; cytochrome P450; rice breeding; climate change | QUANTITATIVE TRAIT LOCI; CYTOCHROME-P450 MONOOXYGENASE; FUNCTIONAL-ANALYSIS; PLANT; IMPROVEMENT; RESPONSES; DATABASE; ENCODES; GROWTH; GENES | climate change; cytochrome P450; lodging resistance; quantitative trait locus; rice breeding; typhoon | English | 2023 | 2023-02 | 10.3390/plants12030449 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | ○ | Article | Identification of Candidate Genes for Salt Tolerance at the Seedling Stage Using Integrated Genome-Wide Association Study and Transcriptome Analysis in Rice | Salt stress is a major constraint in rice production worldwide. Salt stress is estimated to cause annual losses of 30-50% in rice production. Discovering and deploying salt-resistance genes are the most effective ways to control salt stress. We performed a genome-wide association study (GWAS) to detect QTLs related to salt tolerance at the seedling stage using the japonica-multiparent advanced generation intercross (MAGIC) population. Four QTLs (qDTS1-1, qDTS1-2, qDTS2, and qDTS9) associated with salt tolerance were identified on chromosomes 1, 2, and 9. Among these QTLs, a novel QTL, qDTS1-2, was located between flanking SNPs (1354576 and id1028360) on chromosome 1, with the largest -log10(P) value of 5.81 and a total phenotypic variance of 15.2%. RNA-seq analysis revealed that among the seven differentially expressed genes (DEGs) commonly identified in both P6 and JM298 showing salt tolerance, two upregulated genes, Os01g0963600 (ASR transcription factor) and Os01g0975300 (OsMYB48), related to salt and drought tolerance, were also involved in the target region of qDTS1-2. The results of this study can provide insights into further understanding of salt tolerance mechanisms and developing DNA markers for marker-assisted selection (MAS) breeding to improve the salt tolerance of cultivars in rice breeding programs. | Kim, Tae-Heon; Kim, Suk-Man | Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Ecol & Environm Syst, Sangju 37224, South Korea | Kim, Tae/C-5935-2015 | 56181748900; 12765187400 | kimth6148@knu.ac.kr;s_kim@knu.ac.kr; | PLANTS-BASEL | 2223-7747 | 12 | 6 | 1.96 | 2025-06-25 | 10 | 10 | genome-wide association study; RNA-Seq; rice; salt stress; seedling stage | QUANTITATIVE TRAIT LOCUS; SALINITY TOLERANCE; STRESS; QTLS | genome-wide association study; rice; RNA-Seq; salt stress; seedling stage | English | 2023 | 2023-03 | 10.3390/plants12061401 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Article | Identifying nursing interventions captured in patients with stroke by Korean nursing students: Nursing interventions classification study | Purpose: This study aimed to identify nursing interventions captured in patients with stroke by Korean nursing students for the categorization of nursing care tailored to the characteristics of stroke patients. Methods: To identify nursing interventions, a descriptive data analysis was conducted using case scenarios written by nursing students during clinical practice in rehabilitation care settings. The case scenarios were analyzed using the standard terminology classification system, nursing interventions classification (NIC), to identify and categorize interventions for patients with stroke. Results: As the result of analysis, we identified 10 most frequent NIC interventions. The most frequent NIC intervention was vital signs monitoring (N=244, 8.6%). The 89 nursing interventions were classified into 7 domains and 24 classes of the NIC system. Conclusion: The results of this study can be used as a basis for a list of nursing interventions tailored to the characteristics of patients with stroke and furthermore calculating nursing fees through the analysis of nursing interventions for these patients. © 2023 Korean Gerontological Nursing Society. | Park, Jeong Eun | Department of Nursing, Kwangju Women’s University, Kwangju, South Korea, Department of Medical Informatics, School of Medicine, Kyungpook National University, Daegu, South Korea | 57962786800 | jepark@kwu.ac.kr; | Journal of Korean Gerontological Nursing | 2384-1877 | 25 | 1 | 1.08 | 2025-06-25 | 4 | Cardiovascular nursing; Nursing students; Standardized nursing terminology; Stroke | English | Final | 2023 | 10.17079/jkgn.2023.25.1.69 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | IDS-Extract:Downsizing Deep Learning Model For Question and Answering | In recent years, Question-answering systems are extensively used in human-computer systems, and the accuracy rate on a large scale is increasing. However, in actual deployment, a large number of parameters are often accompanied by a large amount of memory and long-term processing requirements. Therefore, compressing the data of the model, reducing training time, memory, becomes more and more urgent. we aim to resolve issues: IDS-Extract dynamically sized data to support models and devices with different memory. The proposed technique does efficient data extraction, segments that are not meaningful for model learning on the original dataset and output multiple datasets of adaptive size followed by target training based on model size. We leverage techniques in IG(Integration Gradient), DPR, and SBERT to improve localization performance for answer positions. We compare the model performance of SQuAD and the data set reduced by the IDS extraction technique, and the results prove that our technique can train the model more targeted and obtain higher performance evaluation. We prove that this method has successfully passed the sanity check, and can be directly applied to emotion recognition, two-classification, and multi-classification fields. © 2023 IEEE. | Guo, Zikun; Kavuri, Swathi; Lee, Jeongheon; Lee, Minho | Kyungpook National University, Department of Convergence, Daegu, South Korea; Kyungpook National University, Department of Convergence, Daegu, South Korea; Kyungpook National University, Department of Convergence, Daegu, South Korea; Kyungpook National University, Department of Convergence, Daegu, South Korea | 58148335700; 34881754200; 57207884867; 57191730119 | gzk798412226@gmail.com; | 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 | 0 | 2025-06-25 | 1 | dense passage retrieval; Integration Gradient; question-answering; SBERT | Data mining; Data reduction; Deep learning; Extraction; Learning systems; Network security; Accuracy rate; Dense passage retrieval; Human-computer systems; Integration gradient; Large-scales; Learning models; Passage retrieval; Question Answering; Question answering systems; SBERT; Emotion Recognition | English | Final | 2023 | 10.1109/iceic57457.2023.10049915 | 바로가기 | 바로가기 |
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