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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 Forecasting Carbon Dioxide Emissions of Light-Duty Vehicles with Different Machine Learning Algorithms Accurate estimation of fuel consumption and emissions is crucial for assessing the impact of materials and stringent emission control techniques on climate change, particularly in the transportation industry, which accounts for a significant portion of global greenhouse gases and hazardous pollutants emissions. To address these concerns, the government of Canada has collected a large sensor-based dataset containing detailed information on 7384 light-duty vehicles from 2017 to 2021, with the goal of reducing CO2 emissions by 40-45% by 2030. To this end, various researchers worldwide have developed vehicle emissions and consumption models to comply with these targets and achieve the Canadian government's ambitious objectives. In this work, we propose the development of boosting and other regression models to predict carbon dioxide emissions for light-duty vehicle designs, with the aim of creating ensemble learning models that leverage vehicle specifications to forecast emissions. Our proposed boosting model is capable of accurately predicting CO2 emissions, even with only one car attribute as input. Moreover, our regression models, in conjunction with the boosting algorithm, can effectively make predictions from various vehicle inputs. Our proposed technique, categorical boosting (Catboost), provides critical insights into transportation-generated air pollution, offering valuable recommendations for both vehicle users and manufacturers. Importantly, Catboost performs data processing in less time and with less memory than other algorithms proposed in the literature. Future research efforts should focus on developing higher performance models and expanding datasets to further improve the accuracy of predictions. Natarajan, Yuvaraj; Wadhwa, Gitanjali; Preethaa, K. R. Sri; Paul, Anand KPR Inst Engn & Technol, Dept Comp Sci & Engn, Coimbatore 641407, India; Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, 80 Daehak Ro, Daegu 41566, South Korea ; Paul, Anand/V-6724-2017; raj, yuva/GWV-2080-2022; Natarajan, Yuvaraj/GWV-2080-2022 57204528689; 57219654131; 57214320928; 56650522400 paul.editor@gmail.com; ELECTRONICS 2079-9292 12 10 2.81 2025-06-25 17 27 light-duty vehicle; carbon dioxide emission; machine learning; boosting algorithm; Catboost FUEL CONSUMPTION; MODELS boosting algorithm; carbon dioxide emission; Catboost; light-duty vehicle; machine learning English 2023 2023-05-18 10.3390/electronics12102288 바로가기 바로가기 바로가기
Article Forecasting Power Generation Considering the Climatic Characteristics of Wind Farms Introduced in Local Cities Korea announced a plan to increase the proportion of renewable energy among domestic power generation to 20% by 2030. Among them, the wind power generation system is aiming to achieve a power generation facility capacity of 17GW. But the rapidly increasing wind power generation system is greatly affected by the climate and the issue of power supply variability is being raised. In addition, due to the difference in mandatory supply and weighting between the government and power generation business man, actualization measures are steadily being raised, and environmental damage is continuously running, so the reasonable and efficient system re-organization is required. On that account, our study conducted a comparative analysis about the amount of wind power generation on wind plant and the city's electricity consumption.Based on the empirical analysis data, we predicted the amount of wind power generation by wind plant through multiple linear regression analysis. These studies are judged on contributing to the efficiency of the targeting area's wind power plant and the evaluation to the independence of power energy in the targeting city. © 2023 Architectural Institute of Korea. Kim, Kang-Min; Na, Wook-Jung; Lee, Ji-Ae Dept. of Architectural Engineering, Andong University of Science, South Korea; Dept. of Fire Safety, Andong University of Science, South Korea; Dept. of Architectural Engineering, Kyungpook National University, South Korea 57991337800; 57991059600; 56165757200 wooksna@gmail.com; Journal of the Architectural Institute of Korea 2733-6239 39 11 0 2025-06-25 0 Regression analysis; Renewable energy; Urban power; Wind power generation Korean Final 2023 10.5659/jaik.2023.39.11.161 바로가기 바로가기
Editorial FOREWORD [No abstract available] Paul, Anand The School of CSE, Kyungpook National University, Daegu, South Korea 59392567100 Intelligent Systems for IoE Based Smart Cities 0 2025-06-25 0 English Final 2023 10.2174/9789815124965123010001 바로가기 바로가기
Proceedings Paper FPGA Realization of Lane Detection Unit using Sliding-based Parallel-Segment Detection for Buffer Memory Reduction With the development of various chips, such as VLSI chips, and the development of semiconductor technology and artificial intelligence, autonomous driving technology is advancing daily. Lane recognition technology, which can be considered the most important in the implementation of autonomous vehicles, requires a large amount of computation and processing time because data must be received from a camera attached to the vehicle and processed in real time. To design a more efficient and implementable lane recognition algorithm, we proposed a method to reduce the usage of buffer memory by using parallel operation. Most of the boards used in autonomous vehicles are lightweight, so the lane recognition algorithm is also lightweight to use a minimum library. First, after reading the image, canny edge-detection is executed through grayscale conversion, Gaussian smoothing, a Sobel operator, non-maximum suppression, and hysteresis in parallel. The lane is inspected using the Hough transform as an input to the image with the edge detected by canny edge-detection. Due to parallel operation's nature, the effect is insignificant when a single image input is received, but the operation is more efficient when multiple images are input in real time. We used a relatively low-level C language for efficiency and processed images with loops and operations. Yunl, Heuijee; Parkl, Daejin Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea 57222516795; 55463943600 boltanut@knu.ac.kr; 2023 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, ICCE 0 2025-06-25 0 0 Autonomous driving; lane detection; parallel processing; canny edge detection; Hough transform Autonomous driving; canny edge detection; Hough transform; lane detection; parallel processing Autonomous vehicles; C (programming language); Data handling; Edge detection; Feature extraction; Field programmable gate arrays (FPGA); Integrated circuit design; Semiconductor device manufacture; Autonomous driving; Autonomous Vehicles; Buffer memory; Canny edge detection; Lane detection; Lane recognition; Parallel operations; Parallel processing; Real- time; Recognition algorithm; Hough transforms English 2023 2023 10.1109/icce56470.2023.10043180 바로가기 바로가기 바로가기
Conference paper Framework of Infotainment Services for Public Vehicles The existing works on in-vehicle infotainment (IVI) services have so far focused on only private vehicles, such as car. This paper proposes a framework of infotainment services for public vehicles (PVIS), such as bus or train. In the proposed PVIS scheme, an agent is employed to support a large number of users. From testbed experimentation, we see that the proposed PVIS scheme can provide scalable services for large number of users in public vehicle. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Nam, Hye-Been; Jung, Joong-Hwa; Choi, Dong-Kyu; Koh, Seok-Joo School of Computer Science and Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea; School of Computer Science and Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea; School of Computer Science and Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea; School of Computer Science and Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea 57218775577; 57194055389; 57194053880; 8958394800 sjkoh@knu.ac.kr; Lecture Notes in Networks and Systems 2367-3370 752 LNNS 0 2025-06-25 0 Framework; Infotainment Services; Public Vehicles; PVIS Framework; Infotainment; Infotainment service; Private vehicles; Public vehicles; Testbed experimentations; Vehicle infotainment English Final 2023 10.1007/978-981-99-4725-6_56 바로가기 바로가기
Review Functional Role of Phospholipase D in Bone Metabolism Phospholipase D (PLD) proteins are major enzymes that regulate various cellular functions, such as cell growth, cell migration, membrane trafficking, and cytoskeletal dynamics. As they are responsible for such important biological functions, PLD proteins have been considered promising therapeutic targets for various diseases, including cancer and vascular and neurological diseases. Intriguingly, emerging evidence indicates that PLD1 and PLD2, 2 major mammalian PLD isoenzymes, are the key regulators of bone remodeling; this suggests that these isozymes could be used as potential therapeutic targets for bone diseases, such as osteoporosis and rheumatoid arthritis. PLD1 or PLD2 deficiency in mice can lead to decreased bone mass and dysregulated bone homeostasis. Although both mutant mice exhibit similar skeletal phenotypes, PLD1 and PLD2 play distinct and nonredundant roles in bone cell function. This review summarizes the physiological roles of PLD1 and PLD2 in bone metabolism, focusing on recent findings of the biological functions and action mechanisms of PLD1 and PLD2 in bone cells. Copyright © 2023 The Korean Society for Bone and Mineral Research. Kim, Hyun-Ju; Lee, Dong-Kyo; Choi, Je-Yong Department of Biochemistry and Cell Biology, Cell and Matrix Research Institute, BK21 Plus KNU Biomedical Convergence Program, Korea Mouse Phenotyping Center, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Biochemistry and Cell Biology, Cell and Matrix Research Institute, BK21 Plus KNU Biomedical Convergence Program, Korea Mouse Phenotyping Center, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Biochemistry and Cell Biology, Cell and Matrix Research Institute, BK21 Plus KNU Biomedical Convergence Program, Korea Mouse Phenotyping Center, School of Medicine, Kyungpook National University, Daegu, South Korea 57208650339; 57216603928; 7501391068 biohjk@knu.ac.kr;jechoi@knu.ac.kr; Journal of Bone Metabolism 2287-6375 30 2 0.39 2025-06-25 5 Homeostasis; Osteoblasts; Osteoclasts; Phospholipase D phospholipase D1; phospholipase D2; bone cell; bone metabolism; cell migration; cytoskeleton; homeostasis; human; nonhuman; osteoblast; osteoclast; osteoclastogenesis; protein function; Review English Final 2023 10.11005/jbm.2023.30.2.117 바로가기 바로가기
Article Fungal Distribution in Traditional Meju and Characterization of Isolated Strains This study was conducted to analyze the distribution and characteristics of fungal species in meju using the traditional method. Fungal distribution in meju was investigated using metagenomic and morphological analyses, based on which Aspergillus flavus/oryzae strains were identified as the dominant fungi in all meju samples, followed by Pichia, Rhizopus and Lichtheimia spp. As A. flavus/oryzae was dominant, we further evaluated the aflatoxin production ability and enzymatic activity of the isolates. Thin-layer chromatography and polymerase chain reaction revealed that the A. flavus/oryzae strains isolated from meju are non-aflatoxigenic fungi. Based on the analyses of amylase and protease activities, strains with high activities of amylase or protease were identified, which are proposed to be used as starters for meju fermentation. © 2023 THE KOREAN SOCIETY OF MYCOLOGY. Son, Ye-Eun; Kang, Ye-Jin; Choi, Sun-Young; Choi, Yoon-Kyung; Lee, Ju-Eun; Kim, Junyoung; Park, Hee-Soo School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea; School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea; Andong Jebiwon Traditional Food, Andong, 36616, South Korea; School of Food Science and Biotechnology, Kyungpook National University, Daegu, 41566, South Korea, Department of Integrative Biology, Kyungpook National University, Daegu, 41566, South Korea 57200513491; 58679607100; 58679347900; 58679741600; 58679741700; 59865780200; 15751448400 phsoo97@knu.ac.kr; Korean Journal of Mycology 0253-651X 51 3 0 2025-06-25 0 Aflatoxins; Aspergillus; Enzymatic activity; Meju; Metagenomic analysis English Final 2023 10.4489/kjm.20230023 바로가기 바로가기
Conference paper Game Theory-Based Overtaking-Preventing Controller for Competitive Racing Scenarios This paper introduces a novel overtaking-preventing controller for competitive racing scenarios, employing a game-theoretical approach. The proposed methodology generates fifth-order trajectories for each agent and utilizes level-k game theory to select the most effective trajectories. Online estimation is conducted to gauge the level of an opponent's mobility, subsequently, the ego mobility chooses the trajectory that can obstruct the opponent's trajectory. The mobilities follow the trajectories through a model-predictive-control approach based on a nonlinear differential drive model. Simulations conducted in a Matlab environment demonstrate the computational efficiency of our approach, with computation times in milliseconds. Our overtaking-preventing controller was tested against various opponent models and proved its effectiveness in terms of blocking success rate in human-involved scenarios. © 2023 ICROS. Ji, Kyoungtae; Han, Kyoungseok Kyungpook National University, Department of Mechanical Engineering, Daegu, 41566, South Korea; Kyungpook National University, Department of Mechanical Engineering, Daegu, 41566, South Korea 57222725974; 56465294700 kyoungsh@knu.ac.kr; International Conference on Control, Automation and Systems 1598-7833 0.98 2025-06-25 2 Autonomous Driving; Decision Making; Game theory; Mobile Robot Autonomous vehicles; Computation theory; Computational efficiency; Decision making; Decision theory; Game theory; MATLAB; Model predictive control; Trajectories; Autonomous driving; Blockings; Computation time; Decisions makings; Differential drive; MATLAB environment; Model-predictive control approach; On-line estimation; Opponent models; Theoretical approach; Controllers English Final 2023 10.23919/iccas59377.2023.10317001 바로가기 바로가기
Conference paper Gaussian Adaptation with Decaying Matrix Adaptation Weights Gaussian Adaptation (GaA) is a black box op-timization algorithm that shares a similar evolution process with the well-studied Simulated Annealing (SA) and Covariance Matrix Adaptation Evolution Strategy (CMA-ES). To improve the convergence properties of GaA in optimization, this paper presents a variant of GaA that degenerates during its evolution process into algorithms with well-proven convergence properties. Specifically, the proposed GaA variant termed AwGaA employs an adaptive weighting of the covariance matrix update of the standard GaA. Consequently, as the evolution process progresses the algorithm degenerates into a variant of SA or (1+1)-CMA-ES. The performance of the proposed AwGaA is evaluated on 30 functions from the IEEE 2014 benchmark suite and compared favorably with the original GaA as well as 6 other leading algorithms. © 2023 IEEE. Ajani, Oladayo S.; Ivan, Dzeuban Fenyom; Mallipeddi, Rammohan Kyungpook National University, Department of Artificial Intelligence, Daegu, South Korea; Kyungpook National University, Department of Artificial Intelligence, Daegu, South Korea; Kyungpook National University, Department of Artificial Intelligence, Daegu, South Korea 57465126000; 58655933000; 25639919900 2023 IEEE Congress on Evolutionary Computation, CEC 2023 0 2025-06-25 0 Covariance Matrix Adaptation; Gaussian Adaptation; Simulated Annealing; Weight Decay Benchmarking; Covariance matrix; Evolutionary algorithms; Gaussian distribution; Black boxes; Convergence properties; Covariance matrix adaptation; Covariance matrix adaptation evolution strategies; Evolution process; Gaussian adaptation; Gaussians; matrix; Optimisations; Weight decay; Simulated annealing English Final 2023 10.1109/cec53210.2023.10253994 바로가기 바로가기
Article Gender Space Analysis in a City Using Origin-Destination Data Based on Mobile Telecommunications; [이동통신 기반 기종점 통행량 데이터를 활용한 도시 내 젠더 공간 분석] Urban space includes power relations between genders and is distinguished according to the role of genders. However, efforts have recently been made to realize gender equality in urban spaces, away from traditional genderized urban spaces. This is confirmed in various studies as well as urban policies, and in the past, it was mainly focused on theory, but recently, empirical studies reflecting actual urban space have been conducted. The purpose of this study is to search for urban spaces by gender by using the origin-destination data representing the actual movement of urban users. Gender differences were calculated to compare male and female movement by age, and spatial autocorrelation analysis was performed to explore gender spaces such as clusters with a lot of male visits and clusters with a lot of female visits. The results were compared with the use district of Seoul, and significant gender space could be confirmed, and it was shown that gender space occupancy differs by age. © 2023 Korean Society of Surveying. All rights reserved. Ko, Min Jee; Park, Sang Yoon; Yoon, Sang Hyun; Lee, Kang Jae; Joo, Yoohyung; Heo, Joon Dept. of Civil and Environmental Engineering, Yonsei University, South Korea; Dept. of Civil and Environmental Engineering, Yonsei University, South Korea; Dept. of Civil and Environmental Engineering, Yonsei University, South Korea; Dept. of Convergence and Fusion System Engineering, Kyungpook National University, South Korea; Dept. of Civil and Environmental Engineering, Yonsei University, South Korea; Dept. of Civil and Environmental Engineering, Yonsei University, South Korea 58881227500; 57207729106; 56643577800; 56040328200; 58881227600; 8876844400 jheo@yonsei.ac.kr; Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 1598-4850 41 6 0 2025-06-25 0 Gender Space; GIS; Mobile Phone Data; Origin-Destination; Spatial Auto-correlation Seoul [Seoul (ADS)]; Seoul [South Korea]; South Korea; autocorrelation; gender relations; GIS; mobile communication; spatial analysis; theoretical study; urban policy Korean Final 2023 10.7848/ksgpc.2023.41.6.691 바로가기 바로가기
Article Gene Expression of Late Somatic Embryogenesis in Rice (Oryza sativa) Rice (Oryza sativa L.) is a highly embryogenic reaction to its regeneration potential through somatic embryogenesis using mature rice embryos depending on the genotype. These biological variables may offer deep understanding into rice breeding programs. In somatic embryogenesis, rice requires expression of SOMATIC EMBRYOGENESIS RECEPTOR-LIKE KINASE (SERK), LEAFY COTYLEDON (LEC) and WUSCHELL (WUS). Early somatic embryogenesis was thoroughly studied through these genes, while late somatic embryogenesis was not. In this study, we discovered that only OsSERK was significantly expressed in late somatic embryogenesis in rice, whereas OsWOX4 and OsLEC1 were absent or expressed at low levels using modified combination hormones, T1: no hormones (control); T2: 2 mg/L kinetin + 1 mg/L NAA, and T3: 2 mg/L kinetin + 1 mg/L BAP + 1 mg/L NAA. The OsSERK, OsLEC1, and OsWOX4 genes were expressed during late somatic embryogenesis on the days 28. GogoNiti II showed that combination of hormones responded positively to plant morphology after 45 days in plant regeneration. During late somatic embryogenesis research, rice regeneration is the most significant in vitro in specific rice cultivars and their epigenetic mechanisms. Also, callus cell sources can change rice to transform DNA inside cell growth. © 2023 Friends Science Publishers Ubaidillah, Mohammad; Nabilah, Siti; Mufadilah, Mitha Aprilia; Rozzita, Noor; Kim, Kyung Min Study Program of Agrotechnology, Faculty of Agriculture, University of Jember, East Java, Jember, Indonesia, Graduate School of Biotechnology, University of Jember, East Java, Jember, Indonesia; Graduate School of Biotechnology, University of Jember, East Java, Jember, Indonesia; Study Program of Agrotechnology, Faculty of Agriculture, University of Jember, East Java, Jember, Indonesia; Study Program of Agrotechnology, Faculty of Agriculture, University of Jember, East Java, Jember, Indonesia; Division of Plant Biosciences, School of Applied BioSciences, College of Agriculture and Life Science, Kyungpook National University, Korea Science and Technology, Daegu, South Korea 56011434400; 57214723268; 58157593700; 58593107400; 34868260300 moh.ubaidillah.pasca@unej.ac.id; International Journal of Agriculture and Biology 1560-8530 30 3 0 2025-06-25 0 Hormones; In vitro; Morphological traits; Plant regeneration; Somatic embryogenesis English Final 2023 10.17957/ijab/15.2076 바로가기 바로가기
Article Generative Adversarial Network Models for Augmenting Digit and Character Datasets Embedded in Standard Markings on Ship Bodies Accurate recognition of characters imprinted on ship bodies is essential for ensuring operational efficiency, safety, and security in the maritime industry. However, the limited availability of datasets of specialized digits and characters poses a challenge. To overcome this challenge, we propose a generative adversarial network (GAN) model for augmenting the limited dataset of special digits and characters in ship markings. We evaluated the performance of various GAN models, and the Wasserstein GAN with Gradient Penalty (WGAN-GP) and Wasserstein GAN with divergence (WGANDIV) models demonstrated exceptional performance in generating high-quality synthetic images that closely resemble the original imprinted characters required for augmenting the limited datasets. And the evaluation metric, Frechet inception distance, further validated the outstanding performance of the WGAN-GP and WGANDIV models, establishing them as optimal choices for dataset augmentation to enhance the accuracy and reliability of recognition systems. Abdulraheem, Abdulkabir; Suleiman, Jamiu T.; Jung, Im Y. Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea 57929177700; 58571666300; 18037522200 aaoabdul@gmail.com;jamiu.suleiman111@gmail.com;iyjung@ee.knu.ac.kr; ELECTRONICS 2079-9292 12 17 0.59 2025-06-25 6 5 data augmentation; generative adversarial networks; Frechet inception distance; ship-marking characters and digits data augmentation; Fréchet inception distance; generative adversarial networks; ship-marking characters and digits English 2023 2023-09 10.3390/electronics12173668 바로가기 바로가기 바로가기
Proceedings Paper Generative Network Utilizing Random Number Based on Memristor Array for Medical Image Synthesis In this work, we demonstrate that realistic chest X-ray images can be generated using a generative adversarial network (GAN) model with true-random numbers (TRNs) generated from a memristor array. The high bandgap active materials of memristor enhanced the entropy of the generated TRN via tunneling conduction, enabling the successful generation of high- quality medical images Kim, Namju; Jang, Byung Chul Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea Jang, Byung Chul/GYV-0656-2022 58119785900; 9238827900 bc.jang@knu.ac.kr; 2023 SILICON NANOELECTRONICS WORKSHOP, SNW 2161-4636 0 2025-06-25 0 0 Generative adversarial networks; Image enhancement; Medical imaging; Random number generation; Active material; Chest X-ray image; High bandgap; High quality; Images synthesis; Memristor; Network models; Random Numbers; True randoms; Tunneling conduction; Memristors English 2023 2023 10.23919/snw57900.2023.10183977 바로가기 바로가기 바로가기
Article Genetic Diversity of Korean Wild Soybean Core Collections and Genome-Wide Association Study for Days to Flowering The utilization of wild soybean germplasms in breeding programs increases genetic diversity, and they contain the rare alleles of traits of interest. Understanding the genetic diversity of wild germplasms is essential for determining effective strategies that can improve the economic traits of soybeans. Undesirable traits make it challenging to cultivate wild soybeans. This study aimed to construct a core subset of 1467 wild soybean accessions of the total population and analyze their genetic diversity to understand their genetic variations. Genome-wild association studies were conducted to detect the genetic loci underlying the time to flowering for a core subset collection, and they revealed the allelic variation in E genes for predicting maturity using the available resequencing data of wild soybean. Based on principal component and cluster analyses, 408 wild soybean accessions in the core collection covered the total population and were explained by 3 clusters representing the collection regions, namely, Korea, China, and Japan. Most of the wild soybean collections in this study had the E1e2E3 genotype according to association mapping and a resequencing analysis. Korean wild soybean core collections can provide helpful genetic resources to identify new flowering and maturity genes near the E gene loci and genetic materials for developing new cultivars, facilitating the introgression of genes of interest from wild soybean. Jo, Hyun; Ha, Bo-Keun; Park, Soo-Kwon; Jeong, Soon-Chun; Lee, Jeong-Dong; Moon, Jung-Kyung Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Upland Field Machinery Res Ctr, Daegu 41566, South Korea; Chonnam Natl Univ, Dept Appl Plant Sci, Gwangju 61186, South Korea; Rural Dev Adm, Natl Inst Crop Sci, Wonju 55365, South Korea; Korea Res Inst Biosci & Biotechnol, Bioevaluat Ctr, Cheongju 28116, South Korea; Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea; Rural Dev Adm, Natl Acad Agr Sci, Agr Genome Ctr, Jeonju 55365, South Korea 57194539358; 7006749575; 10241110000; 55646368100; 40462075100; 7403231454 jdlee@knu.ac.kr;moonjk2@korea.kr; PLANTS-BASEL 2223-7747 12 6 0.59 2025-06-25 4 3 core collection; flowering days; genetic diversity; maturity; wild soybean MAP-BASED CLONING; GENOTYPIC VALUES; MATURITY; LOCUS; TRAITS; E1; TIME core collection; flowering days; genetic diversity; maturity; wild soybean English 2023 2023-03 10.3390/plants12061305 바로가기 바로가기 바로가기
Article Genetic diversity of Plasmodium falciparum erythrocyte membrane protein 1 in field isolates from central Myanmar Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), encoded by the poly-morphic var multigene family, is a highly polymorphic antigen that plays a crucial role in the pathology of malaria. The contribution of the genetic diversity of var toward the im-mune escape of P. falciparum has not yet been fully elucidated. This study aimed to char-acterize the diversity of var repertoires by screening P. falciparum Duffy-binding-like alpha domain (PfDBL alpha) among field isolates from central Myanmar. Genetic analysis revealed that the D-H segments of var in Myanmar populations have an extensive polymorphic repertoire, with high numbers of unique sequence types in each individual. However, var genes from the global population, including Myanmar, shared close genetic lineages re-gardless of their geographic origins, indicating that they have not undergone rapid evo-lutionary changes. Dinzouna-Boutamba, Sylvatrie-Danne; Lee, Sanghyun; Moon, Zin; Chung, Dong-Il; Hong, Yeonchul; Myint, Moe Kyaw; Naw, Haung; Na, Byoung-Kuk; Goo, Youn-Kyoung Kyungpook Natl Univ, Sch Med, Dept Parasitol & Trop Med, Daegu 41944, South Korea; Korea Dis Control & Prevent Agcy, Dept Precis Med, Korea Natl Inst Hlth, Div Bio Bigdata, Cheongju 28159, South Korea; Dept Med Res Pyin Oo Lwin Branch, Pyin Oo Lwin, Myanmar; Gyeongsang Natl Univ, Inst Hlth Sci, Dept Parasitol & Trop Med, Dept Convergence Med Sci,Coll Med, Jinju 52727, South Korea ; Na, b/KPY-6354-2024 56299947300; 56272461500; 57223389298; 13310373300; 7403392847; 36894775600; 57216849986; 7005291099; 22937863200 kuku1819@knu.ac.kr; PARASITES HOSTS AND DISEASES PARASITE HOST DIS 2982-5164 2982-6799 61 1 SCIE PARASITOLOGY 2023 N/A 0.24 2025-06-25 2 1 Plasmodium falciparum; erythrocyte membrane protein 1; genetic diversity; Myan-mar INFECTED ERYTHROCYTES; EXPRESSION; MALARIA; PFEMP1; IDENTIFICATION; ANTIBODIES; DOMAINS; REGION erythrocyte membrane protein 1; genetic diversity; Myanmar; Plasmodium falciparum Erythrocytes; Genetic Variation; Humans; Malaria, Falciparum; Membrane Proteins; Myanmar; Plasmodium falciparum; erythrocyte membrane protein 1; membrane protein; adult; Article; clinical article; female; gene identification; gene sequence; genetic analysis; genetic association; genetic variability; geography; human; male; microbiological examination; molecular evolution; Myanmar; nonhuman; nucleotide sequence; parasite isolation; Plasmodium falciparum; epidemiology; erythrocyte; genetic variation; genetics; malaria falciparum English 2023 2023-02 10.3347/phd.22165 바로가기 바로가기 바로가기 바로가기
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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.