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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
Review Tumor immune response and immunotherapy in gastric cancer Remarkable developments in immuno-oncology have changed the landscape of gastric cancer (GC) treatment. Because immunotherapy intervenes with tumor immune response rather than directly targeting tumor cells, it is important to develop a greater understanding of tumor immunity. This review paper summarizes the tumor immune reaction and immune escape mechanisms while focusing on the role of T cells and their co-inhibitory signals, such as the immune checkpoint molecules programmed death-1 and programmed death-ligand 1 (PD-L1). This paper also describes past clinical trials of immunotherapy for patients with GC and details their clinical implications. Strong predictive markers are essential to improve response to immunotherapy. Microsatellite instability, Epstein-Barr virus, PD-L1 expression, and tumor mutational burden are now regarded as potent predictive markers for immunotherapy in patients with GC. Novel immunotherapy and combination therapy targeting new immune checkpoint molecules such as lymphocyte-activation gene 3, T cell immunoglobulin, and mucin domain containing-3, and indoleamine 2,3-dioxygenase have been suggested, and trials are ongoing to evaluate their safety and efficacy. Immunotherapy is an important treatment option for patients with GC and has great potential for improving patient outcome, and further research in immuno-oncology should be carried out. Kwak, Yoonjin; Seo, An Na; Lee, Hee Eun; Lee, Hye Seung Seoul Natl Univ Hosp, Dept Pathol, Seoul, South Korea; Seoul Natl Univ, Coll Med, Dept Pathol, Seoul, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Pathol, Daegu, South Korea; Mayo Clin, Div Anat Pathol, Rochester, MN USA; Seoul Natl Univ, Bundang Hosp, Dept Pathol, Seongnam, South Korea Kwak, Yoonjin/HOI-0139-2023; Lee, Hye Seung/LZI-3726-2025 56049775700; 55804153700; 7501477989; 57102095800 hye2@snu.ac.kr; JOURNAL OF PATHOLOGY AND TRANSLATIONAL MEDICINE J PATHOL TRANSL MED 2383-7837 2383-7845 54 1 ESCI PATHOLOGY 2020 N/A 2.76 2025-06-25 71 70 Stomach neoplasms; Immunotherapy; Programmed cell death-ligand 1; Microsatellite instability; Epstein-Barr virus; Tumor mutational burden; Tumor-infiltrating lymphocytes; Biomarker MICROSATELLITE INSTABILITY STATUS; EXPRESSION-BASED CLASSIFICATION; LYMPHOCYTE-ACTIVATION GENE-3; PROGNOSTIC IMPLICATIONS; MUTATIONAL BURDEN; INFILTRATING LYMPHOCYTES; PROTEIN EXPRESSION; MISMATCH REPAIR; PD-1 BLOCKADE; T-CELLS Biomarker; Epstein-Barr virus; Immunotherapy; Microsatellite instability; Programmed cell death-ligand 1; Stomach neoplasms; Tumor mutational burden; Tumor-infiltrating lymphocytes immunological antineoplastic agent; programmed death 1 ligand 1; programmed death 1 ligand 2; cancer immunotherapy; cancer prognosis; Epstein Barr virus; human; immune evasion; immune response; immunosurveillance; microsatellite instability; Review; solid malignant neoplasm; stomach cancer; tumor associated leukocyte; tumor microenvironment; tumor mutational burden; whole exome sequencing English 2020 2020-01 10.4132/jptm.2019.10.08 바로가기 바로가기 바로가기 바로가기
Book chapter Two-dimensional materials for photocatalytic water splitting and CO2 reduction Considering the increased energy consumption with tremendously growing population and industrialization, incorporation of abundant and clean energy systems in the energy mix is an absolute and prime requisite for sustainability of the emergent civilization. Currently 90% of the energy used globally is generated from carbon-based highly polluting fuels. However, fossil fuels like oil, coal, and gas reservoirs are a limited resource and will eventually become extinct. Moreover, combustion of fossil fuels is a major source of CO2 emission and greenhouse effect which are a major environmental threat. Therefore alternative clean, rich, and sustainable energy conversion, conservation, and storage strategies are required to be implemented on a rather urgent basis. The solutions are expected to come through materials innovations which embody interdisciplinary research. © 2020 Elsevier Inc. Bhosale, Reshma; Tonda, Surendar; Kumar, Santosh; Ogale, Satishchandra B. Department of Physics, Centre for Energy Science, Indian Institute of Science Education and Research, Pune, India, College of Engineering Pune, Pune, India; Department of Environmental Engineering, Kyungpook National University, Daegu, South Korea; Department of Chemical Engineering, Imperial College London, London, United Kingdom; Department of Physics, Centre for Energy Science, Indian Institute of Science Education and Research, Pune, India, Research Institute for Sustainable Energy (RISE), TCG-Centres of Research and Edication in Science and Technology, Sector V, Salt lake, Kolkata, 700091, India, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pune, 411008, India, Centre for Clean and Renewable Energy, Indian Institute of Science Education and Research (IISER), India 37260970400; 56114866900; 55371242400; 55157007700 Nanostructured Photocatalysts: From Materials to Applications in Solar Fuels and Environmental Remediation 1.26 2025-06-25 7 Band gap engineering; Carbonaceous materials; CO<sub>2</sub> reduction; Photocatalytic water splitting; Redox reaction; SnS nanosheet English Final 2020 10.1016/b978-0-12-817836-2.00007-7 바로가기 바로가기
Article Ultra Sensitive Detection of H2 in ZnO QD-based Sensors Interest and demand for hydrogen sensors are increasing in the field of H2 leakage detection during storage/transport/use and detection of H2 dissolved in transformer oil for safety issues as well as in the field of breath analysis for non-invasively diagnosing a number of disease states for a healthy life. In this study, various ZnO-based sensors were synthesized by controlling the reduction in crystallite size, decoration of Pt nanoparticles, doping of electron donating atoms, and doping of various atoms with different ionic radii. The sensing response of the various prepared ZnO-based nanoparticles and quantum dots (QDs) for 10 ppm H2 was investigated. Among the samples, the smallest-sized (3.5 nm) In3+-doped ZnO QDs showed the best sensing response, which is superior to those in previously reported hydrogen sensors based on semiconducting metal oxides. The higher sensing response of In-doped ZnO QDs is attributed to the synergic effects of the increased number of oxygen vacancies, higher optical band gap, and larger specific surface area. © 2020, Korean Sensors Society. All rights reserved. Lee, Hyun-Sook; Kim, Wonkyung; Lee, Wooyoung Department of Materials Science and Engineering, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea; School of Nano and Materials Science and Engineering, Kyungpook National University, 2559, Gyeongsangbuk-do, Gyeongsang-daero, 37224, South Korea; Department of Materials Science and Engineering, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea 59475291400; 55492072500; 55498383000 wooyoung@yonsei.ac.kr; Journal of Sensor Science and Technology 1225-5475 29 2 0 2025-06-25 0 Hydrogen sensor; nanoparticle; Pt decoration; quantum dot; ZnO Korean Final 2020 10.5369/jsst.2020.29.2.105 바로가기 바로가기
Editorial Material Unilateral Resting Tremor in a Thigh Muscle in Parkinson's Disease Park, Sangmin; Choi, Ji-Hyun; Yoon, Won-Tae; Lee, Jee-Young Seoul Natl Univ, Boramae Hosp, Dept Neurol, Seoul, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Dept Neurol, Daegu, South Korea; Seoul Natl Univ, Bundang Hosp, Dept Neurol, Seongnam, South Korea; Sungkyunkwan Univ, Sch Med, Dept Neurol, Kangbuk Samsung Hosp, Seoul, South Korea; Seoul Natl Univ, Coll Med, Seoul, South Korea Lee, Jae/AAD-3704-2019 57197524938; 57199099845; 13204609700; 36062860800 wieber04@snu.ac.kr; TREMOR AND OTHER HYPERKINETIC MOVEMENTS TREMOR OTHER HYPERK 2160-8288 10 ESCI CLINICAL NEUROLOGY 2020 N/A 0 2025-06-25 0 0 Parkinson's disease; resting tremor; thigh muscle Parkinson’s disease; Resting tremor; Thigh muscle Aged; Dopamine Plasma Membrane Transport Proteins; Female; Hamstring Muscles; Humans; Male; Middle Aged; Parkinson Disease; Positron-Emission Tomography; Putamen; Thigh; Tremor; Tropanes; antiparkinson agent; carbidopa; dopamine transporter; fluorinated steroid; levodopa; n 3 fluoropropyl 2 beta carboxymethoxy 3 beta (4 iodophenyl) nortropane; pramipexole; rasagiline; trihexyphenidyl; unclassified drug; 2-carbomethoxy-8-(3-fluoropropyl)-3-(4-iodophenyl)tropane; dopamine transporter; tropane derivative; adult; aged; bradykinesia; case report; clinical article; female; human; Initial Movement Disorder Society United PD Rating Scale; leg movement; Letter; male; middle aged; motor dysfunction assessment; nuclear magnetic resonance imaging; Parkinson disease; parkinsonism; positron emission tomography; priority journal; scoring system; thigh muscle; tremor; diagnostic imaging; hamstring muscle; metabolism; Parkinson disease; pathophysiology; putamen; thigh; tremor English 2020 2020-10-19 10.5334/tohm.556 바로가기 바로가기 바로가기 바로가기
Article Unreported post-harvest disease of apples caused by plenodomus collinsoniae in korea This study was conducted to isolate and identify the fungal pathogen caused unreported post-harvest disease on apples (cv. Fuji) fruit in Korea. The disease symptoms on apples appeared as irregular, light to dark brown, slightly sunken spots. The three fungal strains were isolated from infected tissues of apple fruits and their cultural and morphological characteristics were completely consistent with those of Plenodomus collinsoniae. The phylogenetic analysis using the internal transcribed spacer (ITS) regions, beta-tubulin (TUB ), and the second largest subunit of RNA polymerase II (RPB 2) sequences revealed the closest relationship of the isolates with Plenodomus collinsoniae at the species level. The pathogenicity test showed the same dark brown spots on Fuji apple cultivar. Therefore, P. collinsoniae is a newly reported fungal agent causing post-harvest disease on apples in Korea. © 2020 Korean Society of Mycology. All rights reserved. Das, Kallol; Kim, Yeong-Hwan; Yoo, Jingi; Ten, Leonid N.; Kang, Sang-Jae; Kang, In-Kyu; Lee, Seung-Yeol; Jung, Hee-Young School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea; Tree Fruit Research and Extension Center, Washington State University, Wenatchee, 98801, United States; School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea; Department of Horticultural Science, Kyungpook National University, Daegu, 41566, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea; School of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea, Institute of Plant Medicine, Kyungpook National University, Daegu, 41566, South Korea 57203751520; 57224438354; 56818324500; 6603039265; 57190171661; 56577308800; 56106499600; 7403029383 leesy1123@knu.ac.kr; Korean Journal of Mycology 0253-651X 48 4 0.1 2025-06-25 1 Apple; Genus Plenodomus; Pathogenicity test; Phylogeny English Final 2020 10.4489/kjm.20200050 바로가기 바로가기
Proceedings Paper Unsupervised Adversarial Learning for Dynamic Background Modeling Dynamic Background Modeling (DBM) is a crucial task in many computer vision based applications such as human activity analysis, traffic monitoring, surveillance, and security. DBM is extremely challenging in scenarios like illumination changes, camouflage, intermittent object motion or shadows. In this study, we proposed an end-to-end framework based on Generative Adversarial Network, which can generate dynamic background information for the task of DBM in an unsupervised manner. Our proposed model can handle the problem of DBM in the presence of the challenges mentioned above by generating data similar to the desired information. The primary aim of our proposed model during training is to learn all the dynamic changes in a scene-specific background information. While, during testing, inverse mapping of data to latent space representation in our model generates dynamic backgrounds similar to test data. The comparative analysis of our proposed model upon experimental evaluations on SBM.net and SBI benchmark datasets has outperformed eight existing methods for DBM in many challenging scenarios. Sultana, Maryam; Mahmood, Arif; Bouwmans, Thierry; Jung, Soon Ki Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Informat Technol Univ ITU, Dept Comp Sci, Lahore, Pakistan; Univ deLaRochelle, Lab MIA, Larochelle, France ; BOUWMANS, Thierry/H-7041-2017; Mahmood, Arif/R-7949-2019; Jung, Soon Ki/P-7687-2018 57196402440; 55636036300; 25631832300; 57226791905 maryam@vr.knu.ac.kr;arif.mahmood@itu.edu.pk;thierry.bouwmans@univ-lr.fr;skjung@knu.ac.kr; FRONTIERS OF COMPUTER VISION 1865-0929 1865-0937 1212 2.52 2025-06-25 10 8 Background initialization; Generative Adversarial Networks; Unsupervised learning ROBUST-PCA; INITIALIZATION; NETWORK Background initialization; Generative Adversarial Networks; Unsupervised learning Computer vision; Adversarial learning; Adversarial networks; Background information; Comparative analysis; Experimental evaluation; Human activity analysis; Illumination changes; Vision-based applications; Inverse problems English 2020 2020 10.1007/978-981-15-4818-5_19 바로가기 바로가기 바로가기
Proceedings Paper User Insensible Sliding Firmware Update Technique for Flash-Area/Time-Cost Reduction toward Low-Power Embedded Software Replacement In applications where firmware updates are frequent, such as edge devices in the Internet of Things (IoT) networks with embedded systems, the update process is considered a significant role in improving device performance. This paper proposed a user insensible sliding firmware update technique based on a function block that reduces flash memory usage by handling only part of function blocks instead of the entire firmware, and device's pause time by allowing the user to use the device between function block updates. The proposed technique was evaluated using the target board with the actual ARM core. As a result, the flash memory usage overhead was reduced by 63.64%, paused minimum time was reduced by 79.98% at once update process, and energy consumption reduced by 78.78%. We show that user insensible sliding firmware update has great potential for implementing IoT networks that change behavior quickly by being aware of the environment. Kwon, Jisu; Seok, Moon Gi; Park, Daejin Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea; Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore 57215531728; 36683242700; 55463943600 kwonjisu215@gmail.com;moongi.seok@ntu.edu.sg;boltanut@knu.ac.kr; 2020 IEEE COOL CHIPS 23: IEEE SYMPOSIUM ON LOW-POWER AND HIGH-SPEED CHIPS AND SYSTEMS 2473-4683 0.9 2025-06-25 7 6 embedded system; flash memory; firmware update; memory map; linker script embedded system; firmware update; flash memory; linker script; memory map Embedded systems; Energy utilization; Firmware; Flash memory; Device performance; Firmware updates; Flash area; Function Block; Internet of thing (IOT); IOT networks; Minimum time; Software replacement; Internet of things English 2020 2020 10.1109/coolchips49199.2020.9097638 바로가기 바로가기 바로가기
Article Using Digital Technology to Address Confirmability and Scalability in Thematic Analysis of Participant-Provided Data This article presents a technique for analyzing large-scale qualitative data to address considerations for scalability and confirmability in thematic analysis of participant-provided data. A network approach provides a consistent means of coding that scales with the size of the dataset and is verifiable using standardized methods. This form of data analysis can be used with smaller data sources including interview transcripts as well as large data sources such as open-ended survey responses. A constructivist (inductive) approach is maintained and needed, however, to aid in interpretation of latent constructs. In this article, we provide both a conceptual overview of the co-word analysis method and a practical example. Chung, Chung Joo; Biddix, J. Patrick; Park, Han Woo Kyungpook Natl Univ, Dept Journalism & Mass Commun, Daegu, South Korea; Univ Tennessee, Postsecondary Educ Res Ctr PERC, Knoxville, TN USA; Yeungnam Univ, Dept Media & Commun, Interdisciplinary Grad Programs Digital Convergen, Gyongsan, North Gyeongsan, South Korea; Yeungnam Univ, Cyber Emot Res Inst, Gyongsan, North Gyeongsan, South Korea ; Park, Han/F-4051-2011 55463815000; 24068626200; 10043514200 cjchung@knu.ac.kr;pbiddix@utk.edu;hanpark@ynu.ac.kr; QUALITATIVE REPORT QUAL REP 1052-0147 2160-3715 25 9 ESCI SOCIAL SCIENCES, INTERDISCIPLINARY 2020 N/A 0.55 2025-06-25 50 9 Qualitative Research; Network Analysis; Co-Word Analysis; Thematic Analysis; College Students; Technology QUALITATIVE RESEARCH Co-Word Analysis; College Students; Network Analysis; Qualitative Research; Technology; Thematic Analysis English 2020 2020-09 바로가기 바로가기 바로가기
Proceedings Paper Using near-infrared spectroscopy to monitor spinal cord oxygenation in the injured spinal cord Introduction: Current clinical guidelines recommend augmenting the mean arterial pressure (MAP) in acute spinal cord injury (SCI) patients to increase perfusion and oxygen delivery to the spinal cord, and potentially improve neurologic function. However, it is difficult for clinicians to hemodynamically manage acute SCI patients without real-time physiologic information about the effect of MAP augmentation within the injured cord. In this study, we investigated the utilization of a customized optical sensor, based on near-infrared spectroscopy (NIRS), to non-invasively monitor spinal cord oxygenation during the first week post-injury in a porcine model. Methods: Six Yucatan mini-pigs received a weight-drop T10 contusion-compression injury. A multi-wavelength NIRS system with a custom-made miniaturized sensor was placed directly onto the dura. The spinal cord tissue oxygenation index (TOI) and concentrations of oxygenated, deoxygenated, and total hemoglobin were monitored before and after SCI. To validate the NIRS measures, invasive intraparenchymal (IP) combined PO2/blood flow sensors were inserted into the spinal cord adjacent to the NIRS sensor. Episodes of MAP alteration and hypoxia were performed acutely after injury, 2 days post-injury, and 7 days post-injury to simulate the types of hemodynamic changes SCI patients experience post-injury. Results: Non-invasive NIRS monitoring identified changes in spinal cord oxygenation levels during the MAP alterations. Changes of TOI followed similar patterns of IP-derived oxygenation changes. Conclusion: Our novel NIRS sensor is feasible as a non-invasive technique to monitor real-time changes in spinal cord oxygenation 7 days post-injury in a porcine model of SCI. Cheung, A.; Tu, L.; Manouchehri, N.; Kim, K. T.; So, K.; Webster, M.; Fisk, S.; Tigchelaar, S.; Dalkilic, S. S.; Streijger, F.; Macnab, A.; Kwon, B. K.; Shadgan, B. Int Collaborat Repair Discoveries ICORD, Vancouver, BC, Canada; Kyungpook Natl Univ, Dept Neurosurg, Daegu, South Korea; Univ British Columbia, Dept Pediat, Vancouver, BC, Canada; Univ British Columbia, Dept Orthopaed, Vancouver, BC, Canada 57215696039; 57220718789; 56685312300; 57201369790; 57194112871; 57214916693; 57212741152; 56610817600; 57216162741; 7801420947; 24379629000; 55851635600; 25646835100 shadgan@mail.ubc.ca; OPTICAL DIAGNOSTICS AND SENSING XX: TOWARD POINT-OF-CARE DIAGNOSTICS 0277-786X 1996-756X 11247 0.48 2025-06-25 2 2 Near-infrared spectroscopy; NIRS; spinal cord injury; tissue oxygenation; TOI; PO2 MEAN ARTERIAL-PRESSURE; IMPROVEMENT; MANAGEMENT; BRAIN Near-infrared spectroscopy; NIRS; PO<sub>2</sub>; Spinal cord injury; Tissue oxygenation; TOI Blood pressure; Diagnosis; Infrared devices; Mammals; Near infrared spectroscopy; Patient rehabilitation; Tissue; Hemodynamic changes; Injured spinal cords; Mean arterial pressure; NIRS; Noninvasive technique; Spinal cord injuries (SCI); Tissue oxygenation; Tissue oxygenation index; Oxygenation English 2020 2020 10.1117/12.2546577 바로가기 바로가기 바로가기
Article Uterine leiomyosarcoma in a cat A 16-year-old cat presented with a 2-week history of anorexia and lethargy. Radiography revealed a soft-tissue opacity, heart-shaped mass between the descending colon and urinary bladder. Ultrasonography showed a large uterine body with a heterogeneously hypoechoic, thickened wall and hypoechoic intraluminal fluid. Computed tomography revealed a large, fluid-filled uterine mass with contrast enhancement, without evidence of regional lymph node or pulmonary metastasis. Ovariohysterectomy was performed and leiomyosarcoma was confirmed by histology. No notable abnormalities were observed during the 1-year postoperative follow-up periods. This report describes the diagnostic imaging and treatment of a rare case of feline uterine leiomyosarcoma. © 2020 Korean Society of Veterinary Science. All rights reserved. Na, Hyemin; Choi, Donghak; Son, Woo-Chan; Lee, Kija College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Dongin Animal Clinic, Daegu, 41946, South Korea; Department of Pathology, Asan Medical Center, University of Ulsan, College of Medicine, Seoul, 05505, South Korea; College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea 57219434344; 57208777327; 7005671988; 35311016000 leekj@knu.ac.kr; Korean Journal of Veterinary Research 2466-1384 60 3 0.18 2025-06-25 2 Cats; Leiomyosarcoma; Reproductive system; Tumors; Uterus English Final 2020 10.14405/kjvr.2020.60.3.179 바로가기 바로가기
Conference paper Utilization of Postural Transitions in Sensor-based Human Activity Recognition Sensor-based human activity recognition (HAR) has gained tremendous attention due to numerous applications that aim to monitor the movement and behaviour of humans. However, the occurrence of transitions between activities gives rise to many problems in HAR as they can affect the performance of the recognition system by causing fluctuations in the prediction. This paper proposes an HAR system using groups of similar postural transitions, discrete wavelet transform (DWT) and bidirectional long short-term memory (BiLSTM) to deal with the postural transitions, thereby improving the accuracy of the system. In this system, the transitions which have similar patterns are grouped into same groups, after that the essential features are extracted by using DWT before being fed into the BiLSTM network for activity classification task. Our experiment results indicate that the proposed model achieves competitive performance compared to a non-transition model. © 2020 IEEE. Thu, Nguyen Thi Hoai; Han, Dong Seog School of Electronics Engineering, Kyungpook National University, Daegu, South Korea; School of Electronics Engineering, Kyungpook National University, Daegu, South Korea 57216620557; 7403219442 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 1.48 2025-06-25 17 bidirectional long short-term memory; discrete wavelet transform; Human activity recognition; transitions Artificial intelligence; Pattern recognition; Signal reconstruction; Activity classifications; Competitive performance; Essential features; Human activity recognition; Recognition systems; Similar pattern; Transition model; Discrete wavelet transforms English Final 2020 10.1109/icaiic48513.2020.9065250 바로가기 바로가기
Article Variation in clinical usefulness of biomarkers of acute kidney injury in young children undergoing cardiac surgery Background: Acute kidney injury (AKI) is one of the most significant postoperative complications of pediatric cardiac surgery. Because serum creatinine has limitations as a diagnostic marker of AKI, new biomarkers including neutrophil gelatinaseassociated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), and interleukin-18 (IL-18)are being evaluated to overcome these limitations anddetect AKI at an early stage after cardiac surgery. Purpose: This study aimed to investigate the clinical usefulness of these biomarkers in young children. Methods: Thirty patients with congenital heart diseases who underwent cardiac surgery using cardiopulmonary bypass (CPB) were selected, and their urine and blood samples were collected at baseline and 6, 24, and 48 hours after surgery. Serum creatinine and blood urea nitrogen levels as well as NGAL, KIM-1, and IL-18 levels in urine samples were measured, and clinical parameters were evaluated. Results: Of the 30 patients, 12 developed AKI within 48 hours after cardiac surgery. In the AKI group, 8 of 12 (66.6%) met AKI criteria after 24 hours, and urine KIM-1/creatinine (Cr) level (with adjustment of urine creatinine) peaked at 24 hours with significant difference from baseline level. Additionally, urine KIM-1/Cr level in the AKI group was significantly higher than in the non-AKI group at 6 hours. However, urine NGAL/Cr and IL-18/Cr levels showed no specific trend with time for 48 hours after cardiac surgery. Conclusion: It is suggested that urine KIM-1/Cr concentration could be considered a good biomarker for early AKI prediction after open cardiac surgery using CPB in young children with congenital heart diseases. Baek, Hee Sun; Lee, Youngok; Jang, Hea Min; Cho, Joonyong; Hyun, Myung Chul; Kim, Yeo Hyang; Hwang, Su-Kyeong; Cho, Min Hyun Kyungpook Natl Univ, Sch Med, Dept Pediat, Daegu, South Korea; Kyungpook Natl Univ, Sch Med, Dept Thorac & Cardiovasc Surg, Daegu, South Korea 56689379700; 36461117600; 57216601178; 57195637434; 8704315000; 57032023800; 37761570400; 7401727726 chomh@knu.ac.kr; CLINICAL AND EXPERIMENTAL PEDIATRICS 2713-4148 63 4 0.66 2025-06-25 7 8 Biomarkers; Acute kidney injury; Cardiac surgery; Child URINARY BIOMARKERS; DIAGNOSIS; OUTCOMES; AKI Acute kidney injury; Biomarkers; Cardiac surgery; Child biological marker; interleukin 18; kidney injury molecule 1; neutrophil gelatinase associated lipocalin; acute kidney failure; Article; blood level; blood sampling; cardiopulmonary bypass; child; clinical article; clinical outcome; clinical practice; comparative study; congenital heart disease; controlled study; creatinine blood level; creatinine urine level; early cancer diagnosis; enzyme linked immunosorbent assay; female; heart surgery; human; male; mean arterial pressure; urea blood level; urea nitrogen blood level; urine sampling English 2020 2020-04 10.3345/cep.2019.00913 바로가기 바로가기 바로가기
Proceedings Paper Vehicular Adhoc Networks Protocol to Avoid Traffic Signal Delay Traffic congestion, collision, and long delay on a traffic signal, etc., are prominent issues in today's transportation system. To address these issues, literature constitutes different traffic flow models to analyze road conditions. In this context, this paper proposed an optimum scheme called Traffic Signal Delay Avoidance Protocol (TSDAP) based on frequent beacon messages, which aim to estimate speed for vehicles to avoid a long wait on traffic signals. Secondly, the dynamic speed assistance to the driver is another feature of TSDAP. The dynamic speed assistance feature enabled TADAP to avoid a collision. Our simulation results show that the proposed scheme significantly outperforms in terms of speed recommendation for collision and delay avoidance. Diyan, Muhammad; Silva, Bhagya Nathali; Han, Jihun; Lee, Kyuchang; Cao Zhenbo; Han, Kijun Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea Diyan, Muhammad/AAM-5848-2021; Silva, Bhagya/AAW-1014-2021 26028317800; 57192304387; 8644262600; 57213678506; 57225835510; 7402963670 mdiyan@netopia.knu.ac.kr;nathalis@netopia.knu.ac.kr;jhhan@netopia.knu.ac.kr;skynsoul@gmail.com;zbcao@netopia.knu.ac.kr;kjhan@knu.ac.kr; 2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE WORKSHOPS (WCNCW) 2167-8189 0 2025-06-25 0 0 Congestion detection; Delay avoidance; intelligent transportation system; speed assistance; traffic flow model Congestion detection; Delay avoidance; intelligent transportation system; speed assistance; traffic flow model Traffic congestion; Vehicular ad hoc networks; Dynamic speed; Long delays; Road condition; Traffic flow models; Traffic signal delays; Transportation system; Traffic signals English 2020 2020 10.1109/wcncw48565.2020.9124749 바로가기 바로가기 바로가기
Article Viscozyme l aided flavonoid extraction and identification of quercetin from Saururus chinensis (Lour.) Baill In order to enhance the extraction efficiency of flavonoid from Saururus chinensis, carbohydrate-hydrolyzing enzyme Viscozyme L aided extraction techniques have been studied. Then flavonoid composition, as well as quercetin, were also identified using UV/Vis, HPLC/MS, and1H-NMR. The results showed that favorable extraction conditions were Viscozyme L concentration of 0.25 mg/g, pH 4.2, reaction at 45oC for 12 h. Under the favorable extraction condition, total flavonoid yield (37.9 mg/g) and quercetin yield (0.86 mg/g) increased by about 2.0 and 9.6 times, respectively, compared to control group. Interestingly, as a significant flavonoid of S. chinensis, flavonoid glycones rutin was hydrolyzed to aglycones quercetin by Viscozyme L. These findings provide scientific and theoretical support for the development quercetin-rich products, which was quickly absorbed by the human body than rutin. © The Korean Society for Applied Biological Chemistry 2020. Zheng, Hu-Zhe; Kwon, Sun-Young; Chung, Shin-Kyo Department of Health Science, Jiangsu Food & Pharmaceutical Science College, Huai’an, 223003, China, 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 35217210000; 57219208454; 7404292790 huzhezheng@163.com; Journal of Applied Biological Chemistry 1976-0442 63 3 0.14 2025-06-25 2 Flavonoid; Identify; Quercetin; Saururus chinensis (Lour.) Baill; Viscozyme L English Final 2020 10.3839/jabc.2020.027 바로가기 바로가기
Proceedings Paper Vocoder-free End-to-End Voice Conversion with Transformer Network Mel-frequency filter bank (MFB) based approaches have the advantage of higher learning speeds compared to using the raw spectrum due to a smaller number of features. However, speech generators with the MFB approach require an additional computationally expensive vocoder for the training process. The pre- and post-processing needed by the MFB and the vocoder is not essential to convert human voices, because it is possible to use only the raw spectrum to generate different style of voices with clear pronunciation. In this paper, we introduce a vocoder-free end-to-end voice conversion method using a transformer network to alleviate the computational burden from additional pre- and post-processing. Our transformer-based architecture, which does not have any CNN or RNN layers, has shown the benefit of learning fast while solving the limitation of sequential computation of the conventional RNN. For this reason, our model is a fast and effective approach to convert realistic voices using raw spectra in a parallel manner to generate different style of voices with clear pronunciation. Furthermore, we can get an adapted MFB for speech recognition by multiplying the converted magnitude with the phase information, and therefore our conversion model is also suitable for speaker adaptation. We perform our voice conversion experiments on TIDIGITS-dataset using the naturalness, similarity, and clarity with Mean Opinion Score as metrics.(1) Kim, June-Woo; Jung, Ho-Young; Lee, Minho Kyungpook Natl Univ, Dept Sensor & Display Engn, Daegu, South Korea; Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea Lee, Min-Ho/ABE-5735-2021 57219550643; 57198760619; 57191730119 kaen2891@gmail.com;hoyjung@knu.ac.kr;mholee@gmail.com; 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2161-4393 0.32 2025-06-25 4 5 voice conversion; vocoder-free; transformer; spectrum; phase phase; spectrum; transformer; vocoder-free; voice conversion Speech recognition; Vocoders; Computational burden; Conversion model; Effective approaches; Mean opinion scores; Phase information; Sequential computations; Speaker adaptation; Training process; Recurrent neural networks English 2020 2020 10.1109/ijcnn48605.2020.9207653 바로가기 바로가기 바로가기
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WoS Web of Science. Clarivate Analytics에서 제공하는 학술 데이터베이스입니다. 해당 논문이 WoS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
SCOPUS Elsevier에서 제공하는 세계 최대 규모의 초록 및 인용 데이터베이스입니다. 해당 논문이 SCOPUS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
Document Type 문헌의 유형을 나타냅니다. Article(원저), Review(리뷰), Proceeding Paper(학회논문), Editorial Material(편집자료), Letter(레터) 등으로 분류됩니다.
Title 논문의 제목입니다.
Abstract 논문의 초록(요약)입니다. 연구의 목적, 방법, 결과, 결론을 간략히 요약한 내용입니다.
Authors 논문의 저자 목록입니다. 공동 저자가 여러 명인 경우 세미콜론(;)으로 구분됩니다.
Affiliation 저자들의 소속 기관 정보입니다. 대학, 연구소, 기업 등 저자가 소속된 기관명이 표시됩니다.
ResearcherID (WoS) Web of Science의 고유 연구자 식별번호입니다. 동명이인을 구분하고 연구자의 업적을 정확하게 추적할 수 있습니다.
AuthorsID (SCOPUS) SCOPUS의 고유 저자 식별번호입니다. 연구자의 모든 출판물을 추적하고 관리하는 데 사용됩니다.
Journal 논문이 게재된 학술지의 정식 명칭입니다.
JCR Abbreviation Journal Citation Reports에서 사용하는 저널의 공식 약어입니다. 저널을 간략하게 표기할 때 사용됩니다.
ISSN International Standard Serial Number. 국제표준연속간행물번호로, 인쇄본 저널에 부여되는 고유 식별번호입니다.
eISSN Electronic ISSN. 전자 버전 저널에 부여되는 고유 식별번호입니다.
Volume 저널의 권(Volume) 번호입니다. 보통 연도별로 하나의 권이 부여됩니다.
Issue 저널의 호(Issue) 번호입니다. 한 권 내에서 여러 호로 나누어 출판되는 경우가 많습니다.
WoS Edition Web of Science의 에디션입니다. SCIE(Science Citation Index Expanded), SSCI(Social Sciences Citation Index), AHCI(Arts & Humanities Citation Index) 등으로 구분됩니다.
WoS Category Web of Science의 주제 분류 카테고리입니다. 저널과 논문이 속한 학문 분야를 나타냅니다.
JCR Year 해당 저널의 JCR(Journal Citation Reports) 지표가 산출된 연도입니다.
IF (Impact Factor) 저널 영향력 지수. 최근 2년간 발표된 논문이 해당 연도에 평균적으로 인용된 횟수를 나타냅니다. 저널의 학술적 영향력을 나타내는 대표적인 지표입니다.
JCR (%) 해당 카테고리에서 저널이 위치하는 상위 백분율입니다. 값이 낮을수록 우수한 저널임을 의미합니다 (예: 5%는 상위 5%를 의미).
FWCI Field-Weighted Citation Impact. 분야별 가중 인용 영향력 지수입니다. 논문이 받은 인용을 동일 분야, 동일 연도, 동일 문헌 유형의 평균과 비교한 값입니다. 1.0이 평균이며, 1.0보다 높으면 평균 이상의 인용을 받았음을 의미합니다.
FWCI UpdateDate FWCI 값이 마지막으로 업데이트된 날짜입니다. FWCI는 인용이 누적됨에 따라 주기적으로 업데이트됩니다.
WOS Citation Web of Science에서 집계된 해당 논문의 총 인용 횟수입니다.
SCOPUS Citation SCOPUS에서 집계된 해당 논문의 총 인용 횟수입니다.
Keywords (WoS) 저자가 논문에서 직접 지정한 키워드입니다. Web of Science에 등록된 저자 키워드 목록입니다.
KeywordsPlus (WoS) Web of Science에서 자동으로 추출한 추가 키워드입니다. 논문의 참고문헌 제목에서 자주 등장하는 단어들로 생성됩니다.
Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.