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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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| ○ | Proceedings Paper | POLYVINYLIDENE FLUORIDE, ZnO, AND GRAPHENE COMPOSITE SPIN COATING FOR PIEZOELECTRIC NANOGENERATORS | This study investigates the production and characterization of a new composite material made of polyvinylidene fluoride (PVDF), zinc oxide (ZnO), and graphene(G) for use in spin-coating applications for piezoelectric nanogenerators. Chemical synthesis techniques that are significantly easier and less expensive have been used to create composite polymer membranes with a dominant ss-crystalline phase. Using the spin coating technique, a composite film that acted as a piezoelectric nanogenerator (PENG) was made. The characteristics of these formations were assessed using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier transform infrared (FT-IR). Using an oscilloscope, the electrical characteristics of the film were evaluated. As recurrent mechanical stress is given to the composite membranes in various modes, such as tapping and hitting machines, the conversion of mechanical to electrical energy is seen by monitoring the output voltage. In each mode of mechanical stress, the self-poled ss-crystalline triphase PVDF-ZnO-G composite membranes outperform all other composites in terms of energy harvesting, making them appropriate for flexible nanogenerators. | Islam, Md. Jahirul; Lee, Hyeji; Lee, Kihak; Kim, Seokyu; Kim, Wolyoung; Cho, Chanseob; Kim, Bonghwan | Daegu Catholic Univ, Gyeongbuk 38430, South Korea; SOLARLIGHT KOREA, Daegu, South Korea; Kyungpook Natl Univ, Daegu 41566, South Korea | Islam, Jahirul/LXB-2010-2024 | jahirruet@cu.ac.kr; | 2023 22ND INTERNATIONAL CONFERENCE ON MICRO AND NANOTECHNOLOGY FOR POWER GENERATION AND ENERGY CONVERSION APPLICATIONS, POWERMEMS 2023 | 0 | Spin coating; piezoelectric; nanogenerator; polymer. | ENERGY HARVESTER | English | 2023 | 2023 | 바로가기 | ||||||||||||||||||||||
| ○ | Conference paper | Polyvinylidene Fluoride, ZnO, and Graphene Composite Spin Coating for Piezoelectric Nanogenerators | This study investigates the production and characterization of a new composite material made of polyvinylidene fluoride (PVDF), zinc oxide (ZnO), and graphene(G) for use in spin-coating applications for piezoelectric nanogenerators. Chemical synthesis techniques that are significantly easier and less expensive have been used to create composite polymer membranes with a dominant β-crystalline phase. Using the spin coating technique, a composite film that acted as a piezoelectric nanogenerator (PENG) was made. The characteristics of these formations were assessed using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier transform infrared (FT-IR). Using an oscilloscope, the electrical characteristics of the film were evaluated. As recurrent mechanical stress is given to the composite membranes in various modes, such as tapping and hitting machines, the conversion of mechanical to electrical energy is seen by monitoring the output voltage. In each mode of mechanical stress, the self-poled β-crystalline tri-phase PVDF-ZnO-G composite membranes outperform all other composites in terms of energy harvesting, making them appropriate for flexible nanogenerators. © 2023 IEEE. | Islam, Md. Jahirul; Lee, Hyeji; Lee, Kihak; Kim, Seokyu; Kim, Wolyoung; Cho, Chanseob; Kim, Bonghwan | Daegu Catholic University, Gyeongbuk, 38430, South Korea, Daegu Catholic University, Gyeonbuk, South Korea; Daegu Catholic University, Gyeongbuk, 38430, South Korea; Daegu Catholic University, Gyeongbuk, 38430, South Korea; Daegu Catholic University, Gyeongbuk, 38430, South Korea; Daegu Catholic University, Gyeongbuk, 38430, South Korea, SOLARLIGHT KOREA, Daegu, South Korea; Kyungpook National University, Daegu, 41566, South Korea; Daegu Catholic University, Gyeongbuk, 38430, South Korea | 57212005167; 58167356700; 58148203200; 58900545600; 58148483400; 24471515900; 24833360700 | bhkim@cu.ac.kr; | PowerMEMS 2023 - 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications | 0 | 2025-06-25 | 0 | nanogenerator; piezoelectric; polymer; Spin coating | Composite membranes; Fluorine compounds; Graphene; II-VI semiconductors; Nanogenerators; Piezoelectricity; Plastic coatings; Scanning electron microscopy; Spin coating; Coating application; Composites material; Graphene composites; Mechanical stress; Nanogenerators; Oxide composites; Piezoelectric; Piezoelectric nanogenerator; Polyvinylidene fluorides; Synthesis techniques; Zinc oxide | English | Final | 2023 | 10.1109/powermems59329.2023.10417709 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Article | Precipitation Dominates the Allocation Strategy of Above- and Belowground Biomass in Plants on Macro Scales | The allocation of biomass reflects a plant's resource utilization strategy and is significantly influenced by climatic factors. However, it remains unclear how climate factors affect the aboveground and belowground biomass allocation patterns on macro scales. To address this, a study was conducted using aboveground and belowground biomass data for 486 species across 294 sites in China, investigating the effects of climate change on biomass allocation patterns. The results show that the proportion of belowground biomass in the total biomass (BGBP) or root-to-shoot ratio (R/S) in the northwest region of China is significantly higher than that in the southeast region. Significant differences (p < 0.05) were found in BGBP or R/S among different types of plants (trees, shrubs, and herbs plants), with values for herb plants being significantly higher than shrubs and tree species. On macro scales, precipitation and soil nutrient factors (i.e., soil nitrogen and phosphorus content) are positively correlated with BGBP or R/S, while temperature and functional traits are negatively correlated. Climate factors contribute more to driving plant biomass allocation strategies than soil and functional trait factors. Climate factors determine BGBP by changing other functional traits of plants. However, climate factors influence R/S mainly by affecting the availability of soil nutrients. The results quantify the productivity and carbon sequestration capacity of terrestrial ecosystems and provide important theoretical guidance for the management of forests, shrubs, and herbaceous plants. | Wang, Xianxian; Chen, Xiaohong; Xu, Jiali; Ji, Yuhui; Du, Xiaoxuan; Gao, Jie | Xinjiang Normal Univ, Coll Life Sci, Urumqi 830054, Peoples R China; Kyungpook Natl Univ, Coastal Agr Res Inst, Daegu 41566, South Korea; Peking Univ, Coll Urban & Environm Sci, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China | Gao, jIe/LRT-5760-2024; Xu, jiali/GRS-1598-2022; Ji, Yuhui/GWM-4856-2022 | 57859094700; 58531858400; 58530814500; 57857667000; 57209098077; 56449734500 | Yechel720@163.com;cheng1352023@163.com;m18099534368@163.com;jyh1757838695@163.com;haobingshuaike@hotmail.com;jiegao72@gmail.com; | PLANTS-BASEL | 2223-7747 | 12 | 15 | 1.96 | 2025-06-25 | 11 | 10 | global change; biomass allocation; functional traits; soil nutrients; type of plants | PRIMARY PRODUCTIVITY; LEAF-AREA; PATTERNS; NUTRIENT; TRAITS; FOREST; STEMS; PREDICT; LEAVES; ROOTS | biomass allocation; functional traits; global change; soil nutrients; type of plants | English | 2023 | 2023-08 | 10.3390/plants12152843 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Conference paper | Predictive Analysis of Accidents Based on US Accident Data | Traffic accidents have emerged as a serious global concern, resulting in daily casualties and prompting authorities to prioritize accident prevention measures. This study presents an accident prediction system that alerts drivers of potential accidents by analyzing multiple attributes which are the potential courses of accidents. While previous studies have predominantly focused on analyzing geographical factors, predicting accident frequencies, and assessing accident risks, this study aims to develop two systems - an advanced route recommendation system and a real-time accident prediction system - to enhance road safety. Moreover, existing systems often predict post hoc accident occurrences or have limited geographical coverage. The advanced route recommendation system is designed to assist users in planning their journeys by providing them with the safest routes in advance. Through a website interface, users can log in and receive personalized recommendations on the accident prone areas on their path, based on factors such as historical accident data, road conditions, traffic patterns and weather conditions. This system aims to empower individuals to make informed decisions and reduce the likelihood of accidents during their trips in advance. The real-time accident prediction system aims to provide drivers with up-to-date information on potential accidents along their routes. By utilizing GPS coordinates and retrieving live data, including weather conditions and real-time accident reports, the system predicts accident-prone areas in real-time. Drivers receive these predictions through a mobile application as an audio message, enabling them to make timely adjustments to their routes and avoid hazardous situations. Additionally, static predictions are displayed on a website, featuring markers indicating accident-prone areas. The research utilizes an extensive dataset of "US Accident Dataset"spanning across all 49 states of the USA. Results demonstrate that the Random Forest classifier achieves an impressive 91.5% accuracy in predicting accident severity, surpassing previous studies. Furthermore, this paper conducts Exploratory Data Analysis, unveiling intriguing patterns in the dataset regarding accident occurrences. © 2023 IEEE. | Manawadu, Mayura; Wijenayake, Udaya | Kyungpook National University, School of Electronics Engineering, Daegu, South Korea; University of Sri Jayewardenepura, Department of Computer Engineering, Nugegoda, Sri Lanka | 58875158200; 55547801900 | mayuramanawadu@knu.ac.kr; | International Conference on ICT Convergence | 2162-1233 | 0 | 2025-06-25 | 0 | accident prediction; data science; Exploratory Data Analysis; Random Forest Classifier; real-time systems | Accidents; Classification (of information); Data handling; Forecasting; Forestry; Interactive computer systems; Meteorology; Motor transportation; Recommender systems; Risk assessment; Roads and streets; Websites; Accident data; Accident prediction; Accident prone areas; Condition; Exploratory data analysis; Prediction systems; Prevention measures; Random forest classifier; Real - Time system; Real- time; Real time systems | English | Final | 2023 | 10.1109/ictc58733.2023.10393583 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | ○ | Proceedings Paper | Predictive Maintenance and Anomaly Detection of Wind Turbines Based on Bladed Simulator Models | This paper proposes a novel data-driven scheme for condition monitoring and detecting anomalies in the wind turbine critical components based on advanced deep learning algorithms. The proposed method employs time-series data taken from a Bladed simulator model for the 5MW wind turbine. To emulate the characteristic behavior of essential wind turbine components, we develop supervised and unsupervised deep learning models using self-organizing map (SOM), long short-term memory auto encoder (LSTM-AE), and long short-term memory recurrent neural network (LSTM-RNN). Statistical process control(SPC) charts are used to evaluate the anomalous behavior predicted by the developed data-driven models. The proposed method is tested on a Bladed 5MW wind turbine model with 24 m/sec wind speed for validating its accuracy and applicability. Copyright (c) 2023 The Authors. | Rama, V. Siva Brahmaiah; Degrees, Sung-Ho Hur; Yang, Jung-Min | Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea | 57437775600; 36455858700; 57208450551 | siva@knu.ac.kr;shur@knu.ac.kr;jmyang@knu.ac.kr; | IFAC PAPERSONLINE | 2405-8963 | 56 | 2 | 0 | 2025-06-25 | 0 | 0 | Wind turbine; anomaly detection; fault prediction; self-organizing maps (SOM); long short-term memory auto encoder (LSTM-AE); recurrent neural networks (RNNs) | anomaly detection; fault prediction; long short-term memory auto encoder (LSTM-AE); recurrent neural networks (RNNs); self-organizing maps (SOM); Wind turbine | Anomaly detection; Brain; Condition monitoring; Conformal mapping; Learning algorithms; Learning systems; Long short-term memory; Wind; Wind turbines; Anomaly detection; Auto encoders; Data driven; Fault prediction; Long short-term memory auto encoder; Predictive maintenance; Recurrent neural network; Self-organizing map; Self-organizing-maps; Simulator models; Self organizing maps | English | 2023 | 2023 | 10.1016/j.ifacol.2023.10.974 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Article | Predictive Modeling of Korean Traditional Paper Characteristics Using Machine Learning Approaches (Part 2): Prediction of Carbonyl Content and Analysis of Variable Importance Using Random Forest; [기계학습을 이용한 한지의 특성 예측 모델링 (Part 2) - 랜덤 포레스트를 이용한 카보닐기 함량 예측과 변수 중요도 분석 -] | This paper introduces a random forest regression model trained with infrared spectral data to predict the carbonyl content of Hanji, a traditional Korean paper. The random forest model demonstrated excellent performance in carbonyl content prediction, surpassing the results obtained from the partial least squares model. To optimize the infrared spectral range for prediction, the spectral range was restricted from the entire range of 4000-400 cm-1to the narrower range of 1800-1200 cm-1, known for its suitability in characterizing paper properties. This limitation enhanced the coefficients of determination of the model, increasing it from 0.921 to 0.937. A permutation variable importance measure was then applied to identify the key spectral regions contributing to carbonyl content prediction. The analysis pinpointed the 1650-1350 cm-1range as a crucial region for accurate predictions. Subsequently, a new prediction model was built using data exclusively from this important region, yielding remarkably improved coefficients of determination of 0.960 and 0.965 for the raw and second derivative spectra, respectively. These findings affirm the validity and significance of the critical region identified by the permutation variable importance measure. The predictive performance of the established models is valid within the range of 7.2 to 29.4 μmol/g of carbonyl content in the training set. © 2023 Korean Technical Assoc. of the Pulp and Paper Industry. All rights reserved. | Kim, Kang-Jae; Kim, Jin-Ho; Park, Geunyong; Jeong, Myung-Joon | Major in Wood Science and Technology, School of Forestry, Science and Landscape Architecture, Kyungpook National University, South Korea; Department of Wood Science and Technology, Kyungpook National University, South Korea; Department of Wood Science and Technology, Kyungpook National University, South Korea; Department of Wood Science & Technology, College of Agricultural Life Science, Jeonbuk National University, South Korea | 35733947500; 56813308400; 58647626600; 55222104800 | jaeya0624@knu.ac.kr; | Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry | 0253-3200 | 55 | 5 | 0.29 | 2025-06-25 | 4 | Carbonyl content; Hanji; infrared spectroscopy; machine learning; permutation importance; random forest; regression | Data; Forecasts; Forestry; Infrared Spectroscopy; Korean; Paper Properties; Performance; Regression Analysis; Forecasting; Forestry; Least squares approximations; Machine learning; Regression analysis; Carbonyl content; Hanji; Infrared spectral; Infrared: spectroscopy; Machine-learning; Permutation importance; Random forests; Regression; Variable importances; [carbonyl; Infrared spectroscopy | Korean | Final | 2023 | 10.7584/jktappi.2023.10.55.5.13 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Article | Predictive Modeling of Traditional Korean Paper Characteristics Using Machine Learning Approaches (Part 1): Discriminating Manufacturing Origins with Artificial Neural Networks and Infrared Spectroscopy | This study focuses on machine learning-based approaches in combination with infrared spectroscopy to discriminate the manufacturing origin of Hanji, a traditional Korean paper. Infrared spectra provide useful information about the chemical composition and structural features of Hanji, while principal component analysis and hierarchical clustering extract meaningful patterns related to the manufacturing region. Score plots and hierarchical clustering of the principal components provide enhanced clustering patterns based on manufacturing region by focusing on the spectral region 1800-1200 cm -1 . The clustering patterns are driven by key absorption bands, such as those associated with carboxyl groups, crystalline cellulose, and aromatic rings. In addition, feed-forward neural network classification models that were developed using the spectral data exhibit significant accuracy when classifying the Hanji manufacturing regions. In particular, models utilizing the raw and second derivative spectra in the 1800-1200 cm-1 region exhibit excellent classification performance, indicating the effectiveness of this spectral region for classification purposes. This study demonstrates the effective application of artificial neural networks in conjunction with infrared spectroscopy to characterize and classify Hanji based on its manufacturing region. The results contribute to a better understanding of the unique properties of Hanji and the discovery of new insights from paper cultural artifacts. © 2023 Korean Technical Assoc. of the Pulp and Paper Industry. All rights reserved. | Hwang, Sung-Wook; Park, Geunyong; Kim, Jinho; Jeong, Myung-Joon | Human Resources Development Center for Big Data-based Glocal Forest Science, Kyungpook National University, South Korea; Department of Wood Science and Technology, Kyungpook National University, South Korea; Department of Wood Science and Technology, Kyungpook National University, South Korea; Department of Wood Science & Technology, College of Agricultural Life Science, Jeonbuk National University, South Korea | 57139273300; 58647626600; 56813308400; 55222104800 | dryellow@knu.ac.kr; | Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry | 0253-3200 | 55 | 4 | 0.77 | 2025-06-25 | 8 | Artificial neural networks; classification; Hanji; hierarchical clustering; infrared spectroscopy; principal component analysis | Classification; Infrared Spectra; Infrared Spectroscopy; Korean; Machinery; Neural Networks; Paper; Patterns; Classification (of information); Feedforward neural networks; Machine learning; Principal component analysis; Spectrum analysis; Clusterings; Hanji; Hier-archical clustering; Hierarchical Clustering; Infrared: spectroscopy; Machine learning approaches; Predictive models; Principal-component analysis; Spectral region; Traditional korean papers; Infrared spectroscopy | Korean | Final | 2023 | 10.7584/jktappi.2023.8.55.4.57 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | Editorial | Preface | [No abstract available] | Kim, Yoon Young; Jang, Gang-Won; Choi, Soomin | Department of Mechanical Engineering Seoul National University, Seoul, South Korea; Department of Mechanical Engineering Seoul National University, Seoul, South Korea; School of Mechanical Engineering Kyungpook National University, Daegu, South Korea | 57193140084; 57188978923; 59353654400; 35173565000; 57192379247 | Solid Mechanics and its Applications | 0925-0042 | 257 | 4.02 | 2025-06-25 | 2 | English | Final | 2023 | 바로가기 | |||||||||||||||||||||
| ○ | ○ | Proceedings Paper | Preliminary Design for Development of Detachable Test Automation System Based on AUTOSAR | Embedded software for vehicles is becoming increasingly complex and huge, and the complexity of test evaluations and the amount of test cases are increasing exponentially. The hardware-based testing methods currently in use often involve some complex preparation and scheduling, making it difficult to determine the actual test results. Therefore, to build a hardware-independent test environment, this paper proposes a method to insert and test components into the port interface for communication between software components of AUTOSAR. This provides a test environment that can be quickly removed to verify the operation of automotive software and helps improve quality by quickly and easily checking errors not only in the software production process but also in the completed system. | Lee, Songhee; Kwak, Junho; Cho, Jeonghun | Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | 57216443374; 57205506637; 7403536198 | lsheeioi@knu.ac.kr;junho7513@knu.ac.kr;jcho@knu.ac.kr; | 2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC | 2831-6991 | 0 | 2025-06-25 | 0 | 0 | AUTOSAR; Test system; Blackbox test; Test Automation; Application Software Layer | Application Software Layer; AUTOSAR; Blackbox test; Test Automation; Test system | Automation; Software testing; Application software layer; Applications software; Automation systems; AutoSAR; Black boxes; Blackbox test; Preliminary design; Test Automation; Test Environment; Test systems; Application programs | English | 2023 | 2023 | 10.1109/icaiic57133.2023.10067063 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | ○ | Proceedings Paper | Preliminary Work on Automatic ARXML Generation for SOME/IP in AUTOSAR Classic Platform | The vehicle electrification trend has led the number of ECUs in automotive up to 100. Inefficient network architecture from a large number of ECUs and the need for high bandwidth caused automotive Ethernet to be adopted in the automobile industry. Messages can be sent with the support of Ethernet-based SOME/IP protocol on the AUTOSAR Platform. We examined the structures of the SOME/IP message format and AUTOSAR communication stack. We also showed what AUTOSAR communication modules to configure and how messages can be filled with SOME/IP header and payload by simply writing out FIDLs. The process of automatic ARXML generation consists of 1) importing each of the ARXML files from modules related to the Ethernet communication stack, 2) Automatically modifying ARXML files from FIDL files, 3) Updating all the ARXML files that is imported before. By this method, users do not have to manage settings belonging to Ethernet. | Kyung, Kyujin; Kim, Hyeongrae; Cho, Jeonghun | Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | 58175443100; 57203064517; 7403536198 | kevin3853@knu.ac.kr;hrsin95@knu.ac.kr;jcho@knu.ac.kr; | 2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC | 2831-6991 | 0.48 | 2025-06-25 | 0 | 1 | AUTOSAR; ARXML; SOME/IP; Franca IDL | ARXML; AUTOSAR; Franca IDL; SOME/IP | Automotive industry; Network architecture; ARXML; Automotives; AutoSAR; Communication stacks; Franca IDL; High bandwidth; IP protocol; Message format; SOME/IP; Vehicle electrifications; Ethernet | English | 2023 | 2023 | 10.1109/icaiic57133.2023.10067065 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Article | Pretransplant C-reactive protein-to-albumin ratio predicts mortality in kidney transplant recipients: a retrospective cohort study | Background: The C-reactive protein (CRP)-to-albumin ratio (CAR) is a more effective prognostic indicator than CRP or albumin alone in various diseases. This study aimed to evaluate the predictive value of the CAR for mortality in kidney transplant recipients (KTRs). Methods: A total of 924 patients who underwent their first kidney transplantation at Kyungpook National University Hospital during 2006-2020 were enrolled and classified into quartile (Q) groups according to their pretransplant CAR values. A Cox regression analysis was conducted to analyze the hazard ratios (HRs) of mortality. Results: Fifty-nine patients died during the posttransplant period (mean, 85.2±44.2 months). All-cause mortality (Q1, 3.0%; Q2, 4.8%; Q3, 7.8%; Q4, 10.0%; P for trend <0.001) and infection-related mortality increased linearly with an increase in CAR (P for trend=0.004). The Q3 and Q4 had higher risks of all-cause mortality than Q1 after adjusting for confounding factors (Q3: adjusted HR [aHR] 2.49, 95% confidence interval [CI] 1.04-5.99, P=0.041; Q4: aHR 3.09, 95% CI 1.31-7.27, P=0.010). Q4 was also independently associated with infection-related mortality (aHR 5.83, 95% CI 1.27-26.8, P=0.023). The area under the curve of the CAR for all-cause and infection-related mortality was higher than that of CRP or albumin alone. There was no association between CAR and death-censored graft failure or acute rejection. Conclusions: A higher pretransplant CAR increases the risk of posttransplant mortality, particularly infection-related, in KTRs. Pretransplant CAR can be an effective and easily accessible predictor of posttransplant mortality. © The Korean Society for Transplantation | Kwon, Jae Wan; Jeon, Yena; Jung, Hee-Yeon; Choi, Ji-Young; Park, Sun-Hee; Kim, Chan-Duck; Kim, Yong-Lim; Hwang, Deokbi; Yun, Woo-Sung; Kim, Hyung-Kee; Huh, Seung; Yoo, Eun Sang; Won, Dong-Il; Cho, Jang-Hee; Lim, Jeong-Hoon | Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Pathology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Surgery, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Surgery, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Surgery, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Surgery, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Urology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Clinical Pathology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea | 57917148000; 57209909350; 57196396467; 7501393222; 7501831741; 8558530700; 55633533600; 57194422879; 35070717000; 35169819900; 7101832929; 7006609239; 7005166517; 7403536291; 55360244300 | jh-cho@knu.ac.kr;jh-lim@knu.ac.kr; | Korean Journal of Transplantation | 2671-8790 | 37 | 1 | 0.37 | 2025-06-25 | 2 | Albumin; C-reactive protein; C-reactive protein-to-albumin ratio; Kidney transplantation; Mortality | English | Final | 2023 | 10.4285/kjt.22.0047 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | Prevalence and molecular analysis of glucose-6-phosphate dehydrogenase deficiency in Chin State, Myanmar | Glucose-6-phosphate dehydrogenase (G6PD) deficiency is caused by X-linked reces-sive disorderliness. It induces severe anemia when a patient with G6PD deficiency is ex-posed to oxidative stress that occurs with administration of an antimalarial drug, prima-quine. The distribution of G6PD deficiency remains unknown while primaquine has been used for malaria treatment in Myanmar. This study aimed to investigate the prevalence of G6PD deficiency and its variants in Chin State, Myanmar. Among 322 participants, 18 (11 males and 7 females) demonstrated a G6PD deficiency. Orissa variant was dominant in the molecular analysis. This would be related to neighboring Indian and Bangladeshi population, in which Orissa variant was also reported as the main mutation type. The screening test for G6PD deficiency before primaquine treatment appears to be impor-tant in Myanmar. | Aung, Ja Moon; Moon, Zin; VanBik, Dorene; Dinzouna-Boutamba, Sylvatrie-Danne; Lee, Sanghyun; Ring, Zau; Chung, Dong-Il; Hong, Yeonchul; Goo, Youn-Kyoung | Kyungpook Natl Univ, Sch Med, Dept Parasitol & Trop Med, Daegu 41944, South Korea; Korea Dis Control & Prevent Agcy, Korea Natl Inst Hlth, Dept Precis Med, Div Healthcare & Artificial Intelligence, Cheongju 28159, South Korea; Kachin State Publ Hlth Dept, Vector Borne Dis Control Unit, Myitkyina, Myanmar | 57218245601; 57223389298; 58452308700; 56299947300; 56272461500; 57211055816; 13310373300; 7403392847; 22937863200 | ychong@knu.ac.kr;kuku1819@knu.ac.kr; | PARASITES HOSTS AND DISEASES | PARASITE HOST DIS | 2982-5164 | 2982-6799 | 61 | 2 | SCIE | PARASITOLOGY | 2023 | N/A | 0 | 2025-06-25 | 1 | 0 | Glucose-6-phosphate dehydrogenase deficiency; variant; Chin State; Myan-mar | G6PD DEFICIENCY; MUTATIONS; VARIANTS; POPULATIONS; SEQUENCE | Chin State; Glucose-6-phosphate dehydrogenase deficiency; Myanmar; variant | Female; Glucosephosphate Dehydrogenase Deficiency; Humans; Male; Myanmar; Prevalence; Primaquine; glucose 6 phosphate dehydrogenase; ribonuclease A; Taq polymerase; primaquine; adolescent; adult; Article; blood sampling; child; controlled study; DNA extraction; DNA marker; female; gene mutation; glucose 6 phosphate dehydrogenase deficiency; human; human experiment; malaria; male; middle aged; polymerase chain reaction; questionnaire; screening test; epidemiology; Myanmar; prevalence | English | 2023 | 2023-05 | 10.3347/phd.23004 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Primary Peritoneal Psammocarcinoma Misdiagnosed as an Heterotopic Ossification: A Case Report | Primary peritoneal psammocarcinoma is a rare type of serous carcinoma that is characterized by the massive formation of psammoma bodies and the invasion of adjacent organs. A 55-year-old female who previously underwent a hysterectomy presented to the emergency room with severe abdominal pain. Contrast-enhanced CT revealed an intra-abdominal calcific mass. Initially, it was thought to be a heterotopic ossification due to the previous pelvic surgery with intact ovaries. However, this was diagnosed as a primary peritoneal psammocarcinoma. Primary peritoneal psammocarcinoma is a very rare disease entity that should be considered a differential diagnosis in patients with normal ovaries, massive ossification in the pelvic cavity, and calcific peritoneal nodules. | Jeon, Gayoung; Park, Seo Young | Fatima Hosp, Dept Radiol, Daegu, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Chilgok Hosp, Sch Med, Dept Radiol, 807 Hoguk Ro, Daegu, South Korea | 58735250200; 57210379391 | uniun0926@gmail.com; | JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY | 2951-0805 | 84 | 4 | 0.22 | 2025-06-25 | 1 | 1 | Peritoneum; Neoplasm; Calcification | SEROUS PSAMMOCARCINOMA; OVARY; CT | Calcification; Neoplasm; Peritoneum | Korean | 2023 | 2023-07 | 10.3348/jksr.2022.0095 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Article | Propagation of Schisandra chinensis (TURCZ.) Baillon using Suckers | Background: To mass-produce standardized Schisandra chinensis with various functional sub-stances, developing vegetative propagation technology is essential. The propagation technology for S. chinensis, including methods using suckers, remains to be established. Methods and Results: To determine the optimal conditions for sucker propagation, suckers were propagated in different seasons (March, April, October, and November), suckers lengths (10 ㎝, 20 ㎝, and 30 ㎝), and bed soils (vermiculite, horticulture media, vermiculite + silty loams, and silty loams). The results showed that the propagation efficiency was higher in November at a sucker length of 10 ㎝ in a bed soil of vermiculite (86.6%). Conclusions: The optimal conditions for S. chinensis sucker propagation were cutting in November, 10 ㎝ sucker length, and vermiculite bed soil treatment. These propagation characteristics will provide a basic parameter for cultivating S. chinensis. © 2023, Korean Society of Medicinal Crop Science. All rights reserved. | Kim, Beung Sung; Seo, Young Jin; Oh, Tae Young; Lee, Jung Dong | Bonghwa Herbal Crop Research Institute, Gyeongsangbuk-do ARES, Bonghwa, 36229, South Korea; Bonghwa Herbal Crop Research Institute, Gyeongsangbuk-do ARES, Bonghwa, 36229, South Korea; Bonghwa Herbal Crop Research Institute, Gyeongsangbuk-do ARES, Bonghwa, 36229, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea | 57832196900; 57222255148; 58419163300; 58591866500 | paulkim75@korea.kr; | Korean Journal of Medicinal Crop Science | 1225-9306 | 31 | 4 | 0.17 | 2025-06-25 | 1 | Mass Propagation; Schisandra chinensis; Suker | Korean | Final | 2023 | 10.7783/kjmcs.2023.31.4.247 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Conference paper | PWM Carrier Effects on the Harmonic Distortion of Output Voltage in Single-Delta Bridge Cell MMC | A modular multilevel converter (MMC) based on single-delta bridge-cells is a promising multilevel converter for various high-voltage application. When the cluster voltage synthesis method based on the conventional triangular carrier wave of phase-shifted pulse width modulation (PSPWM) is applied, the quality of the cluster output voltage differs depending on the parity (which is the property of an integer of whether it is even or odd) of the number of cells per cluster. These differences of the output voltage quality are caused by the different effective level of cluster output voltage under the conventional triangular carrier based PSPWM. In other words, the total harmonic distortion (THD) of the cluster output voltage is indirectly related to the number of levels of the cluster output voltage. In this paper, the THD of the cluster output voltage is analyzed according to the relationship between the number of cells per cluster and the type of the carrier. In addition, the recommended carrier type for PSPWM is determined by whether the number of cells per cluster is odd or even. To demonstrate the analysis and comparison in this paper, a full-scale real-time simulation has been conducted. © 2023 The Korean Institute of Power Electronics. | Kim, Jae-Myeong; Jung, Jae-Jung | Kyungpook National University, School of Electronic and Electrical Engineering, It College, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, It College, Daegu, South Korea | 57210835520; 55368433400 | ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics | 0 | 2025-06-25 | 0 | Carrier wave; modular multilevel converter (MMC); phase-shifted pulse width modulation (PSPWM); total harmonic distortion (THD) | Cells; Cytology; Harmonic analysis; Harmonic distortion; Power converters; Power quality; Wave filters; Carrier waves; Modular multilevel converter; Modulars; Multilevel converter; Output voltages; Phase shifted pulse; Phase-shifted pulse width modulation; Pulsewidth modulations (PWM); Total harmonic distortion; Total harmonic distortions; Pulse width modulation | English | Final | 2023 | 10.23919/icpe2023-ecceasia54778.2023.10213681 | 바로가기 | 바로가기 |
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