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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 Local myofascitis of the deltoid muscle after administration of the AstraZeneca (AZD1222) COVID-19 vaccine: two cases, infectious and inflammatory [No abstract available] Yoon, Jong Pil; Jung, Young Soo; Kim, Dong Hyun Department of Orthopaedic Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Orthopaedic Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Orthopaedic Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea 36098548400; 58080434900; 57198637188 oskdh87090@gmail.com; JSES Reviews, Reports, and Techniques 2666-6391 2 3 0 2025-06-25 0 AstraZeneca; Complication; COVID-19; Deltoid muscle; Myofascitis; Vaccine English Final 2022 10.1016/j.xrrt.2022.04.005 바로가기 바로가기
Article Local Triamcinolone Injection and Oral Steroid in the Patients with Thyrohyoid Syndrome; [갑상설골 증후군 환자에서 국소 스테로이드 주사 및 경구 복용요법의 적용] Background and Objectives Thyrohyoid syndrome is rare disease characterized by unilateral chronic neck pain on hyoid bone area. Currently, local triamcinolone injection was widely used, but oral steroid treatment was rarely tried. We compared the oral steroid and triamcinolone injection for the thyrohyoid syndrome. Subjects and Method Patients who had unilateral pain and tenderness at thyrohyoid membrane were enrolled while excluding those with other diseases, such as gastroesophageal reflux, by physical exam and history taking. Patients were treated with oral steroid (n=15) and local triamcinolone injection (n=11); pain scores based on the pretreatment and post-treatment numeric rating scale (NRS)-11 were compared between the groups. Results Patients with thyrohyoid syndrome were comorbid with globus (42.3%), sore throat (19.2%), and radiating pain (15.4%). In the oral steroid group, posttreatment pain scores (4.0± 2.2) significantly improved (p=0.001) more than pretreatment pain scores (7.7±1.2). In the triamcinolone injection group, posttreatment pain scores (2.3±1.7) also significantly improved (p=0.003) more than pretreatment scores (7.5±1.4). None of the patients revealed treatment related complications. Pretreatment scores were not significantly different, but post-treatment scores wre significantly better in the triamcinolone injection group than in the oral steroid group (p=0.047). Conclusion Oral steroid treatment could be easily performed and have significant effects for patients with thyrohyoid syndrome. Local triamcinolone injection was more effective than oral steroid treatment. Copyright © 2022 Korean Society of Otorhinolaryngology-Head and Neck Surgery Choi, Nayeon; Lee, GilJoon Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea, Department of Otorhinolaryngology-Head and Neck Surgery, Jeju National University Hospital, Jeju National School of Medicine, Jeju, South Korea; Department of Otorhinolaryngology-Head and Neck Surgery, Chilgok Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, South Korea 55601531900; 57193082568 giljoon.lee@gmail.com; Korean Journal of Otorhinolaryngology-Head and Neck Surgery 2092-6529 65 1 0.22 2025-06-25 1 Neck pain; Steroid; Triamcinolone English Final 2022 10.3342/kjorl-hns.2020.00934 바로가기 바로가기
Book chapter Long-run convergence in a neo-Kaleckian open-economy model with autonomous export growth This study combines a neo-Kaleckian growth and distribution model with a sort of Sraffian supermultiplier mechanism in which autonomous demand is driven by foreign exports. Short-, medium- and long-run equilibria are considered. In the long-run case, the expectations of sales growth governing investment change adaptively, and this, combined with the autonomous growth rate of exports, produces convergence of the actual rate of capacity utilization to its normal rate. It is demonstrated that some aspects of the main Kaleckian results can be preserved not only in the short or medium run but also in the long run, in the sense that both (1) a decrease in the propensity to save, and (2) a change in income distribution favoring labor, bring about higher average rates of production growth and capital accumulation. However, the impact of a change in the profit share is shown to be subjected to the condition that the responsiveness of the real exchange rate with respect to the profit share has to be bounded from above, confirming that the scope for wage-led demand or wage-led growth can be limited by open-economy considerations, even within the supermultiplier context. © Marc Lavoie 2022. Nah, Won Jun; Lavoie, Marc School of Economics and Trade, Kyungpook National University, Daegu, South Korea; University of Ottawa, Canada, University of Paris 13 (CEPN), University of Sorbonne Paris, France 36497335900; 35775352400 Post-Keynesian Growth Theory:Selected Essays 0 2025-06-25 0 Autonomous expenditures; Capacity utilization; Exports; Growth; Neo-Kaleckian; Profit share English Final 2022 바로가기
Article Loss of Arabidopsis PATATIN-RELATED PHOSPHOLIPASE 2A Affects the Expression of Genes Involved in Fertilization Doubled haploid (DH) technology enables the generation and evaluation of new plant genotypes in ≤ 2 years, which is in stark contrast to the 6-7 years required for conventional breeding. Recently, a few proteins including MATRILINEAL (MTL) were found to trigger haploid induction in monocot plants. However, MTL function in dicot plants remains unclear. Here, we investigate the effects of Arabidopsis PATATIN-RELATED PHOSPHOLIPASE 2A (pPLA-IIα), a maize MTL homolog, on the expression of genes that modulate pollen development and fertilization in Arabidopsis. Quantitative real-time PCR analysis showed that transcript levels of four pollen tube growth-related genes and six pollen guidance or reception-related genes were increased in the ppla-iiα T-DNA insertion mutant compared with the wild type. In addition, transcript levels of four mitosis and meiosis-related genes, two hormone-related genes, and a calcium pump-encoding gene were also upregulated in the ppla-iiα mutant, whereas expression levels of genes encoding a synergid-secreted peptide (AtLURE1.1) and calmodulin-activated Ca 2+ -ATPase ion pump 9 (ACA9) protein were downregulated in the ppla-iiα mutant compared with the wild type. Taken together, these results suggest that AtLURE1.1 and ACA9 play positive roles in pPLA-IIα-mediated fertilization. Thus, pPLA-IIα controls fertilization through the modulation of pollen germination and pollen tube growth and guidance in Arabidopsis. © 2022 by the Korean Society of Breeding Science This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Kwak, Jun Soo; Song, Jong Tae; Seo, Hak Soo Department of Agriculture, Forestry and Bioresources, Research Institute for Agriculture and Life Sciences, and Plant Genomics and Breeding Institute, Seoul National University, Seoul, 08826, South Korea; Department of Applied Biosciences, Kyungpook National University, Daegu, 41566, South Korea; Department of Agriculture, Forestry and Bioresources, Research Institute for Agriculture and Life Sciences, and Plant Genomics and Breeding Institute, Seoul National University, Seoul, 08826, South Korea 57188934445; 57797134000; 26642769200 seohs@snu.ac.kr; Plant Breeding and Biotechnology 2287-9358 10 1 0 2025-06-25 0 Fertilization; Haploid; Patatin-like phophpolipase 2a; Pollen tube; Ppla-iiα; Synergid English Final 2022 10.9787/pbb.2022.10.1.49 바로가기 바로가기
Proceedings Paper Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator 3D image processing is an important technology that needs to be fundamentally studied in the current, constantly evolving artificial intelligence market. Among this technology, in the field of autonomous driving, the Lidar sensor provides a 3D spatial image of the surrounding. A high-performance processor is required to process a large amount of information quickly. However, because the power consumption increases as the performance increases, a low-power design is also an essential consideration [1]. In general, large amounts of computation can be sped up by parallelized data processing using the GPU. In this paper, to determine advantages parallelization has in terms of performance in processing 3D images, we designed an MCU equipped with parallelized memory and a multicore processor with Verilog as well as compared the processing speed and power with the existing single-core processor. We conducted an experiment to check the 3D image processed through the MCU. The data were imported into CloudCompare software, and the result data was visible. The experimental results confirmed that the designed quad-core MCU consumes 52% less energy than the single-core MCU as the number of operations increases. Park, Seunghyun; Park, Daejin Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea 57903951400; 55463943600 boltanut@knu.ac.kr; 2022 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN, IEEE ICCE-TW 2022 2575-8276 0.69 2025-06-25 0 2 3D image processing; parallelized processing; multicore processor; Verilog; CloudCompare 3D image processing; CloudCompare; multicore processor; parallelized processing; Verilog Data handling; Electric power supplies to apparatus; Image processing; Microcontrollers; 3-D image; 3D image processing; 3D-images; Cloudcompare; Large amounts; Low Power; Multi-core processor; Parallelized processing; Performance; Signal processor; Optical radar English 2022 2022 10.1109/icce-taiwan55306.2022.9869189 바로가기 바로가기 바로가기
Article Low-Power On-Chip Implementation of Enhanced SVM Algorithm for Sensors Fusion-Based Activity Classification in Lightweighted Edge Devices Smart homes assist users by providing convenient services from activity classification with the help of machine learning (ML) technology. However, most of the conventional high-performance ML algorithms require relatively high power consumption and memory usage due to their complex structure. Moreover, previous studies on lightweight ML/DL models for human activity classification still require relatively high resources for extremely resource-limited embedded systems; thus, they are inapplicable for smart homes' embedded system environments. Therefore, in this study, we propose a low-power, memory-efficient, high-speed ML algorithm for smart home activity data classification suitable for an extremely resource-constrained environment. We propose a method for comprehending smart home activity data as image data, hence using the MNIST dataset as a substitute for real-world activity data. The proposed ML algorithm consists of three parts: data preprocessing, training, and classification. In data preprocessing, training data of the same label are grouped into further detailed clusters. The training process generates hyperplanes by accumulating and thresholding from each cluster of preprocessed data. Finally, the classification process classifies input data by calculating the similarity between the input data and each hyperplane using the bitwise-operation-based error function. We verified our algorithm on 'Raspberry Pi 3' and 'STM32 Discovery board' embedded systems by loading trained hyperplanes and performing classification on 1000 training data. Compared to a linear support vector machine implemented from Tensorflow Lite, the proposed algorithm improved memory usage to 15.41%, power consumption to 41.7%, performance up to 50.4%, and power per accuracy to 39.2%. Moreover, compared to a convolutional neural network model, the proposed model improved memory usage to 15.41%, power consumption to 61.17%, performance to 57.6%, and power per accuracy to 55.4%. Chang, Juneseo; Kang, Myeongjin; Park, Daejin Seoul Natl Univ, Dept Comp Sci & Engn, Seoul 08826, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea 57393160100; 57216440453; 55463943600 jschang0215@snu.ac.kr;audwls3158@knu.ac.kr;boltanut@knu.ac.kr; ELECTRONICS 2079-9292 11 1 1.01 2025-06-25 11 13 activity monitoring; machine learning; sensor fusion; SVM; edge-AI computing; energy-accuracy trade-off HUMAN ACTIVITY RECOGNITION; UNIT Activity monitoring; Edge-AI computing; Energy-accuracy trade-off; Machine learning; Sensor fusion; SVM English 2022 2022-01 10.3390/electronics11010139 바로가기 바로가기 바로가기
Article Lymphangiomatosis of spleen, fallopian tube and abdominal wall associated with mucinous cystadenoma of the right ovary Lymphangiomas are benign tumors that results from congenital malformation of lymphatic vessels. They are generally found in the neck and axilla. When they involve multiple locations, they present as lymphangiomatosis syndrome. Generalized lymphangiomatosis associated with mucinous cystadenoma of the ovary is a very rare condition. This study describes a 13-year-old girl with lymphangiomatosis of spleen, right fallopian tube and abdominal wall associated with mucinous cystadenoma of the right ovary. Contrast-enhanced abdominopelvic computed tomography scan and magnetic resonance image showed a multiple cystic splenic mass and huge abdominopelvic cystic mass. Splenectomy, excision of right ovary and fallopian tube mass, and excision of abdominal wall mass were performed without any complications. Park, Jinyoung Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Pediat Surg, 130 Dongduk Ro, Daegu 41944, South Korea 57190865032 kpnugs@knu.ac.kr; JOURNAL OF PEDIATRIC SURGERY CASE REPORTS J PEDIAT SURG CASE R 2213-5766 82 ESCI PEDIATRICS 2022 0.4 0 2025-06-25 0 0 Lymphangioma; Mucinous cystadenoma; Spleen; Ovary; Fallopian tube SPLENIC LYMPHANGIOMA Fallopian tube; Lymphangioma; Mucinous cystadenoma; Ovary; Spleen hemoglobin; abdominal distension; abdominal lymphangioma; abdominal tumor; adolescent; anemia; aphasia; Article; case report; clinical article; contrast enhancement; erythrocyte sedimentation rate; female; histology; human; human tissue; laparotomy; lymphangiomatosis; ovarian mucinous cystadenoma; ovariectomy; pediatric patient; physical examination; psychiatric treatment; psychotherapy; spleen tumor; splenectomy; T2 weighted imaging; uterine tube tumor English 2022 2022-07 10.1016/j.epsc.2022.102310 바로가기 바로가기 바로가기 바로가기
Book chapter Machine learning: A key towards smart cyber-physical systems Machine learning is one of the important components of cyber physical systems. Either development or implementation about cloud computing or edge computing, machine learning, deep learning and AI techniques are key to develop a smart cyber physical system. Machine learning has applications in almost all streams of engineering. It is considered as a subset of Artificial Intelligence (AI) but can be seen as an extension of AI that has broadened the application areas of AI. AI was initiated to make computers mimic human behaviour, considering human to be most intelligent creature on the earth. Although, later when discussions concluded that human behaviour cannot always be considered as intelligent, modified to "mimicking ideal human behaviour". Modern AI techniques are extracting intelligence not only from human but also from many other creatures like Ant, Bee, Monkey, birds, fishes and many more. Machine learning added a new feature to AI by trying to make our computer system learn from the data they are receiving. By using Machine Learning techniques, the computers are now not only processing the data, but also extracting the information from that data to give us better results in every next iteration. Two major thrust research areas in Electrical engineering are Smart Grid and Electric Vehicles. Both these areas are applied to make the power systems and power electronic converters smarter with help of smart inter-disciplinary techniques like machine learning, deep learning, different AI optimization tools etc. So, it is the need of the day for the researchers from different streams to equip themselves with these modern tools. Machine learning can be applied to various classification applications in electrical engineering like detecting power system faults, transformer faults, machine health monitoring etc. It can also be applied for regression applications like solar radiation prediction, selective harmonic elimination for multi-level inverters, electrical load forecasting etc. In this chapter basics of machine learning, different machine learning algorithms, stages in machine learning based implementations are discussed. At last Electrical engineering related applications of this mezzanine technology are discussed. Two, end to end applications one in power system and another in power electronics are also covered. Implementation on MATLAB as well as Python platforms are demonstrated through simple examples. Various Hardware's that supports machine learning in a cyber-physical system are also discussed and Raspberry-Pi, as a tool for development of machine learning based cyber physical systems is also demonstrated through example. © 2022 Scrivener Publishing LLC. All rights reserved. Kapoor, Rashmi; Radhacharan, Chandragiri; Hur, Sung-ho Department of EEE, VNR VJIET, Hyderabad, India; Department of EEE, JNTUH University College of Engineering Jagtial, Nachupally, Kondagattu, India; School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu, South Korea 56081215000; 58763661900; 36455858700 rashmi_k@vnrvjiet.in; Cyber-Physical Systems: Foundations and Techniques 0.87 2025-06-25 2 Artificial intelligence; Artificial neural network; Machine learning; MATLAB; Power electronic converters; Power systems; Python; Smart grid Algorithmic languages; BASIC (programming language); C (programming language); Cloud computing; DC power transmission; Electric load management; Electric power transmission networks; Power systems computer aided design; Power transmission lines; Problem oriented languages; Standby power service; Uninterruptible power systems; Artificial intelligence techniques; Cybe-physical systems; Cyber-physical systems; Human behaviors; Machine-learning; Neural-networks; Power; Power electronics converters; Power system; Smart grid; Smart power grids English Final 2022 바로가기
Article Magnetic Force and Torque between Magnetic Dipoles in a Nonuniform Magnetic Field Herein, we proved the equivalence of the formulas for the magnetic force and torque between magnetic dipoles derived from the Lorentz force, the gradient of the magnetic potential, and the derivative of the mutual inductance. In a current owing system, such as two circular loops with different diameters, we calculated the magnetic force and torque to demonstrate the equivalence of the formulas using the Lorentz force, magnetic potential energy, and mutual inductance. © 2022 The Korean Physical Society. All rights reserved. Jang, Taehun; Ha, Hye Jin; Sohn, Sang Ho Department of Physics, Kyungpook National University, Daegu, 41566, South Korea; Department of Physics Education, Kyungpook National University, Daegu, 41566, South Korea; Department of Physics Education, Kyungpook National University, Daegu, 41566, South Korea 57202406456; 57023054500; 7101646506 hahjin@knu.ac.kr; New Physics: Sae Mulli 0374-4914 72 12 0 2025-06-25 0 Lorentz force; Magnetic force; Magnetic potential energy; Magnetic torque; Mutual inductance English Final 2022 10.3938/npsm.72.930 바로가기 바로가기
Article Magnetic resonance imaging texture analysis for the evaluation of viable ovarian tissue in patients with ovarian endometriosis: a retrospective case-control study Background: Texture analysis has been used as a method for quantifying image properties based on textural features. The aim of the present study was to evaluate the usefulness of magnetic resonance imaging (MRI) texture analysis for the evaluation of viable ovarian tissue on the perfusion map of ovarian endometriosis.Methods: To generate a normalized perfusion map, subtracted T1-weighted imaging (T1WI), T1WI and contrast-enhanced T1W1 with sequences were performed using the same parameters in 25 patients with surgically confirmed ovarian endometriosis. Integrated density is defined as the sum of the values of the pixels in the image or selection. We investigated the parameters for texture analysis in ovarian endometriosis, including angular second moment (ASM), contrast, correlation, inverse difference moment (IDM), and entropy, which is equivalent to the product of area and mean gray value.Results: The perfusion ratio and integrated density of normal ovary were 0.52 +/- 0.05 and 238.72 +/- 136.21, respectively. Compared with the normal ovary, the affected ovary showed significant differences in total size (p<0.001), fractional area ratio (p<0.001), and perfusion ratio (p=0.010) but no significant differences in perfused tissue area (p= 0.158) and integrated density (p=0.112). In comparison of parameters for texture analysis between the ovary with endometriosis and the contralateral normal ovary, ASM (p= 0.004), contrast (p=0.002), IDM (p<0.001), and entropy (p=0.028) showed significant differences. A linear regression analysis revealed that fractional area had significant correlations with ASM (r(2)=0.211), IDM (r(2)= 0.332), and entropy (r(2)= 0.289).Conclusion: MRI texture analysis could be useful for the evaluation of viable ovarian tissues in patients with ovarian endometriosis. Lee, Dayong; Lee, Hyun Jung Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Obstet & Gynecol, Daegu, South Korea; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Obstet & Gynecol, 130 Dongdeok Ro, Daegu 41944, South Korea 57193077140; 57202930844 hyunjunglee@knu.ac.kr; JOURNAL OF YEUNGNAM MEDICAL SCIENCE 2799-8010 39 1 0 2025-06-25 0 0 Endometriosis; Gadolinium; Magnetic resonance imaging; Ovary MR; CYSTS; ANGIOGRAPHY; DIAGNOSIS; SOCIETY Endometriosis; Gadolinium; Magnetic resonance imaging; Ovary English 2022 2022 10.12701/yujm.2021.01165 바로가기 바로가기 바로가기
Editorial Magnetic Resonance Imaging-based Right Ventricular Strain Evaluation [No abstract available] Lee, Jongmin Department of Radiology, Kyungpook National University, School of Medicine, Daegu, South Korea 55689919700 jonglee@knu.ac.kr; Journal of Cardiovascular Imaging 2586-7210 30 1 1.12 2025-06-25 2 acute heart infarction; atrial fibrillation; cardiac imaging; cardiovascular magnetic resonance; computer assisted tomography; congenital heart disease; congestive cardiomyopathy; coronary angiography; echocardiography; Editorial; Fallot tetralogy; heart failure; heart function; heart left ventricle ejection fraction; heart muscle fibrosis; heart preload; heart right ventricle; heart ventricle remodeling; hemodynamics; hospitalization; human; hypertension; hypertrophic cardiomyopathy; lung artery pressure; nuclear magnetic resonance imaging; transesophageal echocardiography; tricuspid annular plane systolic excursion; tricuspid valve regurgitation; two dimensional speckle tracking echocardiography English Final 2022 10.4250/jcvi.2021.0136 바로가기 바로가기
Article Malaria vaccine: The lasting solution to malaria burden in Africa Malaria is one of the deadliest infectious diseases in Africa. Many measures have been taken over the past few years to reduce the burden of malaria on public health following the recommendation of WHO, still, malaria has continued to rake devastation in Africa. Combating malaria in Africa has grown into an international concern. The eradication of malaia is a long-standing goal of public health initiatives globally. The development of vaccines will go a long way to provide the required immunity needed for the people living with malaria or vulnerable to malaria. It is imperative that a vaccine should be produced and rolled out for use, especially during the time of the COVID-19 pandemic when attention is given to mitigating the impact of the pandemic on public health. The malaria vaccine will reduce the number of hospital admission for malaria illness among children and other age groups. Africa will need to build strong innovations to overcome country-specific challenges in vaccination drive, human resources, and supply chain management. Accelerating education, sensitization, diagnosis, and eradication through joint efforts of the government, healthcare professionals and general population will help to prevent the dual synchronous epidemic of COVID-19 and Malaria in Africa. Adeyemo, Abidemi Olugbenga; Aborode, Abdullahi Tunde; Bello, Munira Aminu; Obianuju, Agwuna Favour; Hasan, Mohammad Mehedi; Kehinde, Dada Oluwasogo; Hossain, Md Shahadat; Bardhan, Mainak; Imisioluwa, Jegede Oluwatoyin; Akintola, Ashraf Akintayo Ctr Integrated Hlth Program CIHP, Lagos, Nigeria; Hlth African Platform, Res & Dev, Ibadan, Nigeria; West African Acad Publ Hlth, Abuja, Nigeria; Univ Nigeria, Nsukka, Enugu, Nigeria; Mawlana Bhashani Sci & Technol Univ, Fac Life Sci, Dept Biochem & Mol Biol, Tangail 1902, Bangladesh; Univ Jos, Jos, Nigeria; Mawlana Bhashani Sci & Technol Univ, Fac Life Sci, Dept Pharm, Tangail, Bangladesh; ICMR Natl Inst Cholera & Enter Dis, Div Bacteriol, Kolkata, India; Adekunle Ajasin Univ, Dept Human Kinet & Hlth Educ, Akungba, Nigeria; Kyungpook Natl Univ, Dept Biomed Convergence Sci & Technol, Daegu, South Korea Bardhan, Mainak/AAL-3008-2020; Hossain, Md Shahadat/V-7463-2018; Hasan, Mohammad Mehedi/AAQ-2695-2021; Abdullahi, Aborode/AAL-6793-2021; Akintola, Ashraf/KZU-7081-2024 57221734302; 57916532700; 57258554900; 57781626600; 57223210170; 57781885600; 57894088200; 57819452400; 57221674760; 57218618629 mehedi.bmb.mbstu@gmail.com; ANNALS OF MEDICINE AND SURGERY ANN MED SURG 2049-0801 79 ESCI MEDICINE, GENERAL & INTERNAL 2022 1.7 2.28 2025-06-25 9 11 Malaria vaccine; Malaria; COVID-19; Africa; Challenges COVID-19 Africa; Challenges; COVID-19; Malaria; Malaria vaccine antimalarial agent; artemisinin; malaria vaccine; Africa; Article; attention; awareness; chikungunya; coronavirus disease 2019; Dengue virus 1; education; epidemic; fever; government; headache; health care personnel; health care system; hospital admission; human; immunity; indoor residual spraying; malaria; malaria control; microscopy; myalgia; pandemic; prevalence; public health; sensitization; socioeconomics; sore throat; vaccination; virus diagnosis; vomiting; Zika virus English 2022 2022-07 10.1016/j.amsu.2022.104031 바로가기 바로가기 바로가기 바로가기
Article Management of Postoperative Intra-Abdominal Hypertension in a Dog Undergoing Cervical Disc Surgery The dog with tetraplegia was presented for magnetic resonance imaging and cervical ventral slot decompression. Intra-abdominal pressure (IAP) was measured every hour after surgery, along with respiratory rate, heart rate, and arterial pressure. Three hours after surgery, abdominal distension with agitation and respiratory distress were observed, and IAP rose to 12 mmHg, indicating mild intra-abdominal hypertension (IAH). Additional fentanyl and ketamine CRI did not alleviate IAH and acepromazine (0.01 mg/kg, IV) was administered to alleviate the agitation and respiratory distress. After acepromazine administration, the agitation subsided and IAP dropped to 4 mmHg. During the next 24 hours, the patient’s vital signs and IAP remained stable, with normal urine output. This case report suggests the possibility of postoperative IAH monitoring in dogs. However, considering the nature of a single surgical case of cervical ventral slot, further study is required for indication of IAH monitoring. © The Korean Society of Veterinary Clinics. Kim, Dongseok; Choi, Geonho; Lee, Sang-Kwon; Lee, Kija; Lee, Won-Jae; Yun, Sung-Ho; Kwon, Young-Sam; Jang, Min Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea; Department of Veterinary Surgery, College of Veterinary Medicine, Kyungpook National University, Daegu, 41566, South Korea 57952302900; 57952520700; 56494541400; 35311016000; 57205486455; 57201366734; 7403459426; 55341507600 jangmin@knu.ac.kr; Journal of Veterinary Clinics 1598-298X 39 5 0.22 2025-06-25 1 acepromazine; APP; dog; IAH; IAP acepromazine; albumin; butorphanol; cholesterol; fentanyl; gamma glutamyltransferase; isoflurane; ketamine; midazolam; propofol; abdominal distension; abdominal pressure; agitation; arterial pressure; Article; blood cell count; breathing rate; cervical disc surgery; decompression; diastolic blood pressure; dog; heart rate; intraabdominal hypertension; mean arterial pressure; nonhuman; nuclear magnetic resonance imaging; pain; postoperative monitoring; proprioception; quadriplegia; rectal temperature; respiratory distress; spinal cord compression; surgical approach; systolic blood pressure; urine volume English Final 2022 10.17555/jvc.2022.39.5.277 바로가기 바로가기
Article Manganese-Enhanced MRI Reveals Brain Circuits Associated with Olfactory Fear Conditioning by Nasal Delivery of Manganese Purpose: The survival of organisms critically depends on avoidance responses to lifethreatening stimuli. Information about dangerous situations needs to be remembered to produce defensive behavior. To investigate underlying brain regions to process information of danger, manganese-enhanced MRI (MEMRI) was used in olfactory fear-conditioned rats. Materials and Methods: Fear conditioning was conducted in male Sprague-Dawley rats. The animals received nasal injections of manganese chloride solution to monitor brain activation for olfactory information processing. Twenty-four hours after manganese injection, rats were exposed to electric foot shocks with odor cue for one hour. Control rats were exposed to the same odor cue without foot shocks. Fortyeight hours after the conditioning, rats were anesthetized and their brains were scanned with 9.4T MRI. Acquired images were processed and statistical analyses were performed using AFNI. Results: Manganese injection enhanced brain areas involved in olfactory information pathways in T1 weighted images. Rats that received foot shocks showed higher brain activation in the central nucleus of the amygdala, septum, primary motor cortex, and preoptic area. In contrast, control rats displayed greater signals in the orbital cortex and nucleus accumbens. Conclusion: Nasal delivery of manganese solution enhanced olfactory signal pathways in rats. Odor cue paired with foot shocks activated amygdala, the central brain region in fear, and related brain circuits. Use of MEMRI in fear conditioning provides a reliable monitoring technique of brain activation for fear learning. Yang, Ji-ung; Chang, Yongmin; Lee, Taekwan Kyungpook Natl Univ, Dept Med & Biol Engn, Daegu, South Korea; Korea Inst Radiol & Med Sci, Div Appl RI, Seoul, South Korea; Kyungpook Natl Univ Hosp, Dept Radiol, Daegu, South Korea; Kyungpook Natl Univ, Sch Med, Dept Mol Med, 680 Gukchaebosang Ro, Daegu 41944, South Korea; Korea Brain Res Inst, Chumdanro 61, Daegu 41021, South Korea 57212217968; 7501840633; 55501335000 ychang@knu.ac.kr;tklee@kbri.re.kr; INVESTIGATIVE MAGNETIC RESONANCE IMAGING 2384-1109 26 2 0 2025-06-25 0 0 Manganese MRI; Fear conditioning; Olfactory circuit RESONANCE-IMAGING MEMRI; IN-VIVO; ACTIVATION; AMYGDALA; STRESS; MICE Fear conditioning; Manganese MRI; Olfactory circuit English 2022 2022-06 10.13104/imri.2022.26.2.96 바로가기 바로가기 바로가기
Article Manifestations of strong electron correlation in polyacene: Fundamental gap, density of states, and photoconductivity The quasi-particle (QP) bands of polyacene (PAC) - an infinite linear chain of fused benzene rings - are reconstructed from the QP spectra of oligoacenes (OACs) with N is an element of [5, 30] (N is the number of fused rings) obtained using a computational methodology capable of incorporating the effect of strong non-dynamic electron correlation into the computation of the QP (electrons and holes) energy levels. As the result of mixing with the doubly excited electronic configuration, the fundamental gap in the ground electronic state of PAC widens to ca. 1.8 - 2.2 eV depending on the density functional employed. In the excited singlet electronic state, the band gap closes; thus, leading to photoconductivity of PAC, as well as longer (N greater than or similar to 9) OACs. The calculated optical gap of OACs converges to a finite value of ca. 1 eV in a reasonable agreement with the experiment. The experimentally observed sudden opening of the transmission gap in scanning tunneling spectroscopy of dodecacene (N= 12) is explained by the effect of strong correlation, which shifts the first maxima of the density of states of the ground and excited states towards larger electron binding energies. (c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) Pomogaeva, Anna; Filatov, Michael; Choi, Cheol Ho Kyungpook Natl Univ, Dept Chem, Daegu 702701, South Korea Choi, Cheol Ho/AAA-4705-2020; Pomogaeva, Anna/G-3386-2013 23668779800; 7005134246; 7402958948 mike8718@knu.ac.kr;cchoi@knu.ac.kr; CARBON TRENDS 2667-0569 7 0.58 2025-06-25 5 6 Strong correlation; Quasi-particle band structure; Polyacene; Ensemble DFT; Photoconductivity CHARACTERIZING UNPAIRED ELECTRONS; FRACTIONALLY OCCUPIED STATES; EXCITED-STATES; GROUND-STATE; BAND-GAPS; FUNCTIONAL THEORY; IONIZATION-POTENTIALS; GRAPHENE NANORIBBONS; EXCITATION-ENERGIES; GREENS-FUNCTION Ensemble DFT; Photoconductivity; Polyacene; Quasi-particle band structure; Strong correlation Binding energy; Electron correlations; Electronic states; Electrons; Energy gap; Excited states; Scanning tunneling microscopy; Densities of state; Ensemble DFT; Fundamental gaps; Linear chain; Oligoacenes; Polyacene; Quasi-particle band structure; Quasiparticles; Strong correlation; Strong electron correlations; Photoconductivity English 2022 2022-04 10.1016/j.cartre.2022.100146 바로가기 바로가기 바로가기
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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.
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Journal 논문이 게재된 학술지의 정식 명칭입니다.
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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.