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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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| ○ | Article | Music recommender system via deep learning | Music is an integral part of our everyday life. Almost everyone uses various streaming services to listen to music on their mobile phones. These streaming services recommend tailored music to each individual by categorizing music into numerous genres, thus enriching the user experience. The backbone of these streaming services is a music recommender system that recommends the best music to the users. The efficiency of these streaming services ultimately depends on the music recommender systems' results. The music recommender system suggests music based on the user's interests. The necessity of these music recommender systems is increasing day by day, but most of the systems do not meet users' expectations. This paper plans and actualizes a general music recommender system that applies several audio signal features to train several machine learning and deep learning models for categorizing music into ten genres to meet the users' expectations for music suggestions. The music recommender system consists of a feature extractor, a data preprocessing module, and a classifier. The system classifies the audio signals into blues, classical, country, disco, hip-hop, jazz, metal, pop, reggae, and rock. The classifiers such as support vector machine (SVM), K-nearest neighbors (KNN), random forest, and feedforward neural networks (FNN) are used for the system evaluation. The music classification results from our recommender show that the FNN based system has the highest prediction results than other classifiers. The FNN based music recommender system achieved 80% accuracy on the GTZAN music dataset and validates the impact of the deep learning models for music classification. | Poulose, Alwin; Reddy, Chinthala Sreya; Dash, Shatarupa; Sahu, Bharat Jyoti Ranjan | Kyungpook Natl Univ, Ctr ICT & Automot Convergence, Daegu, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Siksha O Anusandhan Deemed Univ, Inst Tech Educ & Res ITER, Dept Comp Sci & Engn, Bhubaneswar, Odisha, India | , ALWIN POULOSE/S-4914-2018; Sahu, Bharat/KUD-6972-2024; POULOSE, ALWIN/S-4914-2018 | alwinpoulosepalatty@knu.ac.kr;sreyareddy2000@gmail.com;shatarupadash@soa.ac.in;bharatjyotisahu@soa.ac.in; | JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES | J INFORM OPTIM SCI | 0252-2667 | 2169-0103 | 43 | 5 | ESCI | INFORMATION SCIENCE & LIBRARY SCIENCE | 2022 | 1.4 | 6 | Music genre classification; Feature extraction; Machine learning (ML) | English | 2022 | 2022-07-04 | 10.1080/02522667.2022.2094546 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | ○ | Article | NA(L(ⁿl1 : l1))=NRA(L(ⁿl1:l1)) | Let n >= 2 and L(E-n : E) denote the space of all continuous n-linear mappings from a Banach space E to itself. Let NA(L(E-n : E)) denote the set of all norm attaining n-linear mappings in (E-n : E) and NRA(L(E-n : E)) denote the set of all numerical radius attaining n-linear mappings in L(E-n : E). In this paper we show that NA(L(E-n : E))=NRA(L(E-n : E)) if E = l(1). We also characterize NA(L((n)l(1) : l(1))). | Kim, Sung Guen | Kyungpook Natl Univ, Dept Math, Daegu 702701, South Korea | 34769667700 | sgk317@knu.ac.kr; | ACTA SCIENTIARUM MATHEMATICARUM | ACTA SCI MATH | 0001-6969 | 2064-8316 | 88 | 3-4 | ESCI | MATHEMATICS | 2022 | 0.5 | 0.51 | 2025-06-25 | 3 | 3 | norm attaining multilinear mappings; numerical radius attaining multilinear mappings | NORM; POLYNOMIALS | norm attaining multilinear mappings; numerical radius attaining multilinear mappings | English | 2022 | 2022-12 | 10.1007/s44146-022-00048-5 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Nanotitanium Oxide Particles and Jute-Hemp Fiber Hybrid Composites: Evaluate the Mechanical, Water Absorptions, and Morphological Behaviors | Organic fiber-based biocomposites have gained prominence in a variety of sectors over the last four to five years due to their exceptional mechanical and physical properties. Natural fiber-based composites are increasingly being employed in autos, ships, airplanes, and infrastructure projects. The current study will look at the effect of nanotitanium oxide (TiO2) fillers on the properties of hybridised jute-hemp-based composites. In this work, TiO2-filled biocomposites were created using the hand layup method in hybrid jute-hemp composites containing jute fiber mats, woven hemp mats, and epoxy resin. After nanotitanium oxide fillers were injected in various weight proportions, the mechanical properties of fiber-reinforced polymers were investigated. The mechanical properties of laminated composites were tested using the ASTM standard. Compared to 2 and 4 wt.% of TiO2, the 6 wt.% was provided the highest mechanical strength. Among the different types of specimen, the E-type specimen (30 wt.% of hemp, 7 wt.% of jute, 57 wt.% of epoxy, and 6 wt.% of TiO2) gives their highest contribution, i.e., for tensile 24.21%, for flexural 25.03%, and for impact 24.56%. The scanning electron microscope was utilized to analyse the microstructures of nanocomposites. | Mahesha, C. R.; Suprabha, R.; Harne, Mahesh S.; Galme, Sachin G.; Thorat, Sandeep G.; Nagabhooshanam, N.; Seikh, A. H.; Siddique, M. H.; Markos, Mebratu | Dr Ambedkar Inst Technol, Dept Ind Engn & Management, Bangalore 560056, Karnataka, India; Amrutvahini Coll Engn, Dept Mech Engn, Sangamner 422608, Maharashtra, India; Sandip Inst Technol, Res Ctr, Dept Mech Engn, Nasik 422213, Maharashtra, India; MIT ADT Univ, MIT Sch Engn, Dept Mech Engn, Pune 412201, Maharashtra, India; Aditya Engn Coll Surampalem, Dept Mech Engn, Surampalem, Andhra Pradesh, India; King Saud Univ, Coll Engn, Mech Engn Dept, POB 800, Riyadh 11421, Saudi Arabia; Kyungpook Natl Univ, Intelligent Construct Automat Ctr, Daegu, South Korea; Wolaita Sodo Univ, Coll Engn, Dept Mech Engn, Sodo, Ethiopia | ; C.R, Mahesha/AAF-6472-2021; R, Suprabha/AAG-6878-2021; SEIKH, ASIFUL/ABA-2071-2021; Ghalme, Prof. (Dr.) Sachin/B-2072-2018; Thorat, Dr. Sandeep G./AAS-5281-2021; Ghalme, Sachin/B-2072-2018; Harne, Mahesh/AGZ-6993-2022 | 55991452200; 56168375900; 57781064600; 54906253700; 56336331600; 57202996825; 55946471600; 57188589477; 57210596590 | mahesha.research@yahoo.com;suprabha666@aol.com;shaligram.works@aol.com;sachinghalme.dr@yandex.com;sandeepgangaram98@yandex.com;nnbhooshan.phdworks@outlook.com;halkseikh.dr@aol.com;hiwasid.prof@yahoo.com;mebratumarkos@wsu.edu.et; | JOURNAL OF NANOMATERIALS | 1687-4110 | 1687-4129 | 2022 | 0.74 | 2025-06-25 | 4 | 11 | ASTM standards; Epoxy resins; Fillers; Hemp; Hybrid composites; Jute fibers; Laminated composites; Scanning electron microscopy; Biocomposite; Hybrid composites; Infrastructure project; Mechanical; Mechanical and physical properties; Morphological behavior; Nano-titanium oxide; Organic fibers; Oxide particles; Water absorption behavior; Titanium dioxide | English | 2022 | 2022-09-14 | 10.1155/2022/3057293 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | Article | Nasoethmoid orbital fracture reconstruction using a three-dimensional printing-based craniofacial plate | The face is one of the most important parts of the body. Untreated facial fractures can result in deformities that can be harmful to patients. Three-dimensional (3D) printing is a rapidly evolving technology that has recently been widely applied in the medical field as it can poten-tially improve patient treatment. Although 3D printing technology is mostly used for craniofacial surgery, some studies have proved that it can be used to treat nasoethmoid orbital fractures. In this study, a patient-customized plate was constructed using a 3D printer and applied in a simulated surgery for the treatment of nasoethmoid orbital fracture. © 2022 Korean Cleft Palate-Craniofacial Association. | Hong, Hyun Ki; Kim, Do Gon; Choi, Dong Hun; Seo, Anna; Chung, Ho Yun | Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea; Let’s Plastic Surgery, Daegu, South Korea; Seeann Solution, Co., Ltd., Incheon, South Korea; Department of Plastic and Reconstructive Surgery, School of Medicine, Kyungpook National University, Daegu, South Korea | 57210147816; 57208642340; 57192909559; 59428909300; 7404007181 | hy-chung@knu.ac.kr; | Archives of Craniofacial Surgery | 2287-1152 | 23 | 6 | 0.88 | 2025-06-25 | 4 | Facial bones; Printing, three-dimensional; Surgery,plastic | English | Final | 2022 | 10.7181/acfs.2022.00913 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | Neonatal sepsis-causing bacterial pathogens and outcome of trends of their antimicrobial susceptibility a 20-year period at a neonatal intensive care unit | Background: Due to increases in the number of infants born with younger gestational age (GA) and lower birth weight, the incidence of neonatal sepsis is increasing. Purpose: We investigated the changes in the prevalence of bacterial pathogens, their antimicrobial susceptibility, and sepsis-related mortality during 20 years at a neonatal intensive care unit. Methods: The study period was divided into two 10-year phases (1998-2007 vs. 2008-2017). Medical records were reviewed to gather data on demographics, causative microbial pathogens, incidence of multidrug-resistant organisms, antimicrobial susceptibility, and rates of sepsis-related mortality. Results: In both study phases, the most common pathogens for neonatal sepsis were coagulase-negative Staphylococcus (CoNS) (28.6%) and Enterobacter cloacae (16.1%) for early-onset sepsis (EOS, 72 hours after birth). CoNS and S. aureus showed 100% sensitivity to vancomycin in both phases. The susceptibility of S. aureus to oxacillin increased from 19.2% to 57.9% in phase II than phase I. K. pneumonia and E. cloacae showed increases in its susceptibility to gentamicin, cefotaxime and ceftriaxone in phase II than phase I. In both phases, the most common pathogens that caused sepsis-related death were K. pneumoniae (18.2%) and Pseudomonas aeruginosa (13.6%). Sepsis-related mortality rate was higher in infants with GA <37 weeks than those with GA over 37 weeks (P=0.016). In addition, the mortality rate of neonatal sepsis caused by gram-negative bacteria was significantly higher than that caused by gram-positive bacteria (P<0.001). Conclusions: CoNS was the most common pathogen for EOS and LOS. While we found significant changes in antimicrobial sensitivities over time. GA below 37 weeks and gram-negative organisms are associated with mortality rate. | Song, Woo Sun; Park, Hye Won; Oh, Moon Youn; Jo, Jae Young; Kim, Chae Young; Lee, Jung Ju; Jung, Euiseok; Lee, Byong Sop; Kim, Ki-Soo; Kim, Ellen Ai-Rhan | Kyungpook Natl Univ, Coll Med, Dept Med, Dgegu, South Korea; Konkuk Univ, Dept Pediat, Med Ctr, Seoul, South Korea; Univ Ulsan, Asan Med Ctr, Dept Pediat, Div Neonatol,Coll Med,Childrens Hosp, 88 Olymp Ro 43 Gil, Seoul 05505, South Korea; Gyeongsang Natl Univ Hosp, Dept Pediat, Jinju, South Korea; Kyung Hee Univ, Dept Pediat, Sch Med, Seoul, South Korea; I&Mom Pediat Clin, Kangnung, South Korea | ; Kim, Chaeyoung/GPW-6531-2022; Lee, Jae/J-5595-2012; Lee, Sun-Ho/AAD-6712-2022 | 57204459654; 7601566215; 57793771700; 57794886500; 57196046094; 57793213300; 36028329000; 7405441173; 55710537600; 36147572300 | arkim@amc.seoul.kr; | CLINICAL AND EXPERIMENTAL PEDIATRICS | CLIN EXP PEDIATR | 2713-4148 | 65 | 7 | ESCI | PEDIATRICS | 2022 | 4.2 | 2.91 | 2025-06-25 | 13 | 14 | Neonatal sepsis; Causative organism; Antibiotic sensitivity | EARLY-ONSET SEPSIS; B-STREPTOCOCCAL DISEASE; BIRTH-WEIGHT INFANTS; STAPHYLOCOCCUS; EPIDEMIOLOGY; SURVEILLANCE; PREVENTION; RESISTANT; KOREA | Antibiotic sensitivity; Causative organism; Neonatal sepsis | cefotaxime; ceftriaxone; oxacillin; vancomycin; Acinetobacter baumannii; antibiotic resistance; antibiotic sensitivity; apnea; Article; bacteremia; birth weight; bradycardia; Burkholderia cepacia; cesarean section; Enterobacter cloacae; Escherichia coli; female; gestational age; Gram negative bacterium; Gram positive bacterium; human; hyperglycemia; hypoglycemia; incidence; Klebsiella pneumoniae; lethargy; major clinical study; male; medical record; metabolic acidosis; methicillin resistant Staphylococcus aureus; neonatal intensive care unit; newborn; newborn sepsis; prevalence; Pseudomonas aeruginosa; risk factor; Staphylococcus aureus; Staphylococcus epidermidis; tachycardia; tachypnea | English | 2022 | 2022-07 | 10.3345/cep.2021.00668 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Conference paper | Network based Identification of Dementia Onsets Using Structural MRI Network Signature | Dementia is one of the leading causes of mortality across the globe, yet, its treatment remains practically elusive. Preventing the later onsets of dementia by treating the early onset stands a better chance to forestall further surge in the cases of dementia around the world. Unfortunately, a lot of issues are associated with the detection of early onset as their clinical symptoms overlap with those of normal aging. Therefore, in this framework, the gray matter tissue probability map (TPM) is extracted from the magnetic resonance imaging (MRI) data of dementia related subjects. Generalized improved multiscale permutation entropy (GIMPE) based networks are formulated on the extracted gray matter TPM of normal control (NC), stable mild cognitive impairment (sMCI), progressive mild cognitive impairment (sMCI) and Alzheimer's disease (AD) subjects. The network disruption of dementia onsets are assessed taking the networks of NC subjects as reference. A technique is developed and validated for the formulation of brain network from connectivity matrix and the formulated network topologies are quantified using graph theory metrics at nodal levels. The topological metrics at nodal levels are statistically analyzed using a non-parametric statistical (Kruskal-Wallis) test to extract the network signatures corresponding to NC, sMCI, pMCI and AD groups. Results show that the proposed framework is potentially viable for the detection and identification of the normal aging as well as the various stages of dementia onset at network level. © 2022 IEEE. | Adebisi, Abdulyekeen T.; Gonuguntla, Venkateswarlu; Lee, Ho-Won; Hahm, Myong-Hun; Veluvolu, Kalyana C. | Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronics Engineering, Daegu, South Korea; Kyungpook National University, School of Medicine, Department of Neurology, Daegu, South Korea, Brain Science and Engineering Institute, Kyungpook National University, Daegu, South Korea; Kyungpook National University, School of Medicine, Department of Radiology, Daegu, South Korea; Kyungpook National University, School of Electronics Engineering, Daegu, South Korea | 57220004878; 55696595000; 35337240700; 56015548700; 8703318200 | veluvolu@ee.knu.ac.kr; | Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 | 0.31 | 2025-06-25 | 1 | Alzheimer's disease; Dementia related disorders; Graph theory; Magnetic Resonance Imaging (MRI); Permutation entropy; Statistical analysis; Threshold selection | Disease control; Entropy; Graph theory; Medical imaging; Network topology; Neurodegenerative diseases; Alzheimers disease; Cognitive impairment; Dementia related disorder; Gray matter; Magnetic resonance imaging; Network-based; Normal controls; Permutation entropy; Threshold selection; Tissue probability maps; Magnetic resonance imaging | English | Final | 2022 | 10.1109/bibm55620.2022.9995588 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | Conference paper | Neural Architecture Search for Real-Time Driver Behavior Recognition | Driver behavior recognition (DBR) helps to ensure driver safety by alerting drivers about potential hazards and minimizing them. In this paper, we use deep learning-based neural architecture search (NAS) to classify driver behavior. In the NAS method, a reinforcement learning algorithm is used, and the neural network architecture is quickly searched by sharing the weights of the parameters. Most DBR models focus on accuracy, while high processing speed is required in order to be applied to actual vehicles. In addition, since the driver monitoring system (DMS) includes complex algorithms based on deep learning, it requires a DBR model that takes this into account. We collect our own data set for driver behavior classification and recognize four common driving behaviors: general driving, mobile phone use, food intake, and smoking. The proposed model on our own data set collected through experiments has better performance and lower network cost than the previous lightweight classification model. © 2022 IEEE. | Seong, Jaeho; Lee, Chaehyun; Han, Dong Seog | Kyungpook National University, Department of Future Automotive and IT Convergence, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea | 57563959900; 57563453700; 7403219442 | 4th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2022 - Proceedings | 0.55 | 2025-06-25 | 2 | deep learning; driver behavior recognition; neural network architecture search | Behavioral research; Classification (of information); Intelligent systems; Learning algorithms; Network architecture; Reinforcement learning; Behaviour recognition; Data set; Deep learning; Driver behavior recognition; Driver's behavior; Neural architectures; Neural network architecture; Neural network architecture search; Real- time; Recognition models; Deep learning | English | Final | 2022 | 10.1109/icaiic54071.2022.9722706 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Conference paper | Neural Network-based Approximate Quality Prediction for Parameter Exploration in Industrial Manufacturing | Various control parameters are required for industrial plant operation and product manufacturing. However, the trial-and-error scheme of testing physical equipment for optimal parameter exploration is very costly and time consuming. Therefore, interest in an environment, that can predict quality output parameters in advance by modeling the target plant, has increased. Mathematical modeling is difficult due to the lack of interrelationships between the various parameters applied to the facility and the complex internal behavior. This paper proposes a technique to predict the quality output factor before manufacturing a product using a multilayer perceptron (MLP) neural network. Moreover, we handle the critical parameters of the produced product in duplicate at the input layer and enable the generation of product-dependent inference results. The experiments used input and output data sets from various products extracted from the wire manufacturing process. The proposed scheme generated a quality output of the product not included in the neural network training as average and distribution similar with label. The experimental results showed that the difference from the label average was reduced by up to 50.26%, similar to the label distribution in the various product cases used for training, © 2022 IEEE. | Kwon, Jisu; Seok, Moon Gi; Park, Daejin | School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea; School of Computer Science and Engineering, Nanyang Technological University, 639798, Singapore; School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, 41566, South Korea, School of Electronics Engineering, Kyungpook National University, Daegu, 41566, South Korea | 57215531728; 36683242700; 55463943600 | 2022 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2022 | 0 | 2025-06-25 | 0 | Multi Layer Perceptron; Neural Network; Parameter Exploration; Plant Modeling | Forecasting; Industrial plants; Network layers; Control parameters; Industrial manufacturing; Multilayers perceptrons; Network-based; Neural-networks; Parameter exploration; Plant model; Plant operations; Plant products; Quality prediction; Multilayer neural networks | English | Final | 2022 | 10.1109/ispacs57703.2022.10082830 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | ○ | Article | Neurologic outcomes of prehospital mechanical chest compression device use during transportation of out-of- hospital cardiac arrest patients: a multicenter observational study | Objective High-quality cardiopulmonary resuscitation with chest compression is important for good neurologic outcomes during out-of-hospital cardiac arrest (OHCA). Several types of me-chanical chest compression devices have recently been implemented in Korean emergency medi-cal services. This study aimed to identify the effect of prehospital mechanical chest compression device use on the outcomes of OHCA patients.Methods We retrospectively analyzed data drawn from the regional cardiac arrest registry in Daegu, Korea. This registry prospectively collected data from January 2017 to December 2020. Patients aged 18 years or older who experienced cardiac arrest presumed to have a medical eti-ology were included. The exposure variable was the use of a prehospital mechanical device dur-ing transportation by emergency medical technicians. The outcomes measured were neurologic outcomes and survival to discharge. Logistic regression analysis was used.Results Among 3,230 OHCA patients, 1,111 (34.4%) and 2,119 (65.6%) were managed with manual chest compression and with a mechanical chest compression device, respectively. The mechanical chest compression group showed poorer neurologic outcomes than the manual chest compression group (adjusted odds ratio, 0.12; 95% confidence interval, 0.04-0.33) and decreased survival to discharge (adjusted odds ratio, 0.39; 95% confidence interval, 0.19-0.82) after adjustment for confounding variables.Conclusion Prehospital mechanical chest compression device use in OHCA was associated with poorer neurologic outcomes and survival to discharge compared to manual chest compression. | Min, Chanhong; Lee, Dong Eun; Ryoo, Hyun Wook; Jung, Haewon; Cho, Jae Wan; Kim, Yun Jeong; Ahn, Jae Yun; Park, Jungbae; Mun, You Ho; Jang, Tae Chang; Jin, Sang-chan | Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Dept Emergency Med, Sch Med, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Dept Emergency Med, Sch Med, Daegu, South Korea; Yeungnam Univ, Dept Emergency Med, Coll Med, Daegu, South Korea; Catholic Univ Daegu, Dept Emergency Med, Sch Med, Daegu, South Korea; Keimyung Univ, Sch Med, Dept Emergency Med, Dongsan Med Ctr, Daegu, South Korea; Kyungpook Natl Univ, Dept Emergency Med, Sch Med, 680 Gukchaebosang Ro, Daegu 41944, South Korea | ; Ahn, Jae Yun/N-2652-2017; Lee, Dong Eun/HTN-4501-2023; Park, Jae Yong/ISS-5916-2023 | 57919311700; 57202299238; 55350557500; 57221554827; 7403536065; 57202340666; 56937505400; 57189030435; 57210884077; 57189297849; 57205700670 | delee@knu.ac.kr; | CLINICAL AND EXPERIMENTAL EMERGENCY MEDICINE | CLIN EXP EMERG MED | 2383-4625 | 9 | 3 | ESCI | EMERGENCY MEDICINE | 2022 | 1.9 | 1.69 | 2025-06-25 | 7 | 7 | Cardiopulmonary resuscitation; Out-of-hospital cardiac arrest; Emergency medical services | HEART-ASSOCIATION GUIDELINES; 2020 KOREAN GUIDELINES; CARDIOPULMONARY-RESUSCITATION; DEFIBRILLATION; QUALITY | Cardiopulmonary resuscitation; Emergency medical services; Out-of-hospital cardiac arrest | adult; aged; ankle brachial index; Article; artificial ventilation; compression; confounding variable; coronary angiography; defibrillation; diabetes mellitus; electrocardiogram; emergency health service; exposure variable; extracorporeal oxygenation; female; heart arrest; heart disease; hospital mortality; human; hypertension; induced hypothermia; Korea; laryngoscopy; logistic regression analysis; male; observational study; out of hospital cardiac arrest; outcome assessment; percutaneous coronary intervention; Rankin scale; rescue personnel; respiration control; resuscitation; retrospective study; return of spontaneous circulation; traffic and transport; training | English | 2022 | 2022-09 | 10.15441/ceem.21.142 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | Article | Next-generation sequencing-based analysis to assess the pattern of relapse in patients with Philadelphia-positive acute lymphoblastic leukemia | In this study, we performed serial monitoring using targeted DNA sequencing to identify genetic alterations in adults with Philadelphia-positive acute lymphoblastic leukemia (Ph-ALL). Deep sequencing was performed by targeting the coding regions of 45 genes with recurrent driver mutations and 1129 single nucleotide polymorphism sites. Of the 43 patients that we examined, at least one case of genetic alterations was detected in 38 (88%) of the 43 patients at diagnosis (somatic mutations in 10 patients [23%] and copy number aberrations [CNA] in 36 patients [84%]). The most frequently detected CNA lesions were in IKZF1 (n = 25, 58%) and the most frequently mutated gene was SETD2 (n = 5). At least one genetic abnormality (loss, gain, or persistence) was observed in all the samples obtained at relapse that were available for analysis (n = 15), compared with the samples obtained at diagnosis (disappearance of any previously detected genetic alterations: 11 patients [73%]; new genetic abnormalities: nine patients [60%]; and persistent genetic abnormalities: eight patients [53%]]. The most frequently deleted lesions were in IKZF1 (n = 9, 60%), and the most frequently mutated gene was ABL1 (eight patients, 53%). Our data indicate that leukemic progression may be associated with complex genetic alterations in Ph-ALL during the course of treatment. | Ahn, Jae-Sook; Kim, Taehyung; Jung, Sung-Hoon; Ahn, Seo-Yeon; Song, Ga-Young; Kim, Mihee; Yang, Deok-Hwan; Lee, Je-Jung; Kim, Mi Yeon; Moon, Joon Ho; Zhang, Zhaolei; Kim, Hyeoung-Joon; Kim, Dennis Dong Hwan | Chonnam Natl Univ, Hwasun Hosp, Dept Internal Med, Gwangju, South Korea; Chonnam Natl Univ, Hwasun Hosp, Genom Res Ctr Hematopoiet Dis, Gwangju, Jeonranam Do, South Korea; Univ Toronto, Donnelly Ctr Cellular & Biomol Res, 160 Coll St, Rm 608, Toronto, ON M5S3E1, Canada; Univ Toronto, Dept Comp Sci, Toronto, ON, Canada; Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Hematol Oncol, Daegu, South Korea; Univ Toronto, Princess Margaret Canc Ctr, Dept Med Oncol & Hematol, Toronto, ON, Canada; Univ Toronto, Dept Mol Genet, Toronto, ON, Canada; Univ Toronto, Princess Margaret Canc Ctr, 610 Univ Ave, OPG Rm 6-222, Toronto, ON M5G 2M9, Canada | Kim, Chang Gon/IAP-6721-2023; Lee, Sang-Jun/A-3892-2015; Kim, Dennis/AAH-8499-2019 | zhaolei.zhang@utoronto.ca;hjoonk@chonnam.ac.kr;dr.dennis.kim@uhn.ca; | EJHAEM | 2688-6146 | 3 | 4 | 1 | NGS; Philadelphia-positive ALL; relapse | KINASE DOMAIN MUTATIONS; CHEMOTHERAPY; ADULT; IMATINIB; DELETIONS; IMPACT; OUTCOMES; THERAPY | English | 2022 | 2022-11 | 10.1002/jha2.514 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | ○ | Article | Norm attaining bilinear forms on the plane with the l1-norm | For given unit vectors x(1), middot middot middot , x(n) of a real Banach space E, we define NA(L(E-n))(x(1), middotmiddotmiddot , x(n)) = {T is an element of L(E-n) : |T(x(1), middot middot middot , x(n))| = | | T| | = 1}, where L(E-n) denotes the Banach space of all continuous n-linear forms on E endowed with the norm | | T| | = sup(| | xk| | =1,1 <= k <= n )|T(x(1),. . . , x(n))|. In this paper, we classify NA(L((2)l(1)(2)))((x(1), x(2)), (y(1), y(2))) for unit vectors (x(1), x(2)), (y(1), y(2)) is an element of l(1)(2), where l(1)(2) =R-2 with the l(1)-norm. | Kim, Sung Guen | Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea | 34769667700 | sgk317@knu.ac.kr; | ACTA UNIVERSITATIS SAPIENTIAE-MATHEMATICA | ACTA U SAPIENTIAE-MA | 1844-6094 | 2066-7752 | 14 | 1 | ESCI | MATHEMATICS | 2022 | 0.5 | 0.49 | 2025-06-25 | 0 | 2 | norm attaining bilinear forms | norm attaining bilinear forms | English | 2022 | 2022-11-01 | 10.2478/ausm-2022-0008 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | ○ | Article | Norm attaining multilinear forms on the spaces c0 or l1 | T E G(nE) is called a norming attaining if there are x1, ... , xn E E such that 'Ix1'I = center dot center dot center dot = 'Ixn'I = 1 and |T (x1, ... , xn)| = 'IT'I, where G(nE) denotes the space of all continuous n-linear forms on E. We investigate norm attaining multilinear forms on c0 or l1. | Kim, Sung Guen | Kyungpook Natl Univ, Dept Math, Daegu 702701, South Korea | 34769667700 | sgk317@knu.ac.kr; | CONSTRUCTIVE MATHEMATICAL ANALYSIS | 2651-2939 | 5 | 1 | 0 | 2025-06-25 | 1 | 0 | Norming attaining multilinear forms; norming points; norming sets | Norming attaining multilinear forms; Norming points; Norming sets | English | 2022 | 2022-03 | 10.33205/cma.981877 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | ○ | Proceedings Paper | NoSQL Database Performance Diagnosis through System Call-level Introspection | Since its emergence, NoSQL databases have firmly established themselves as an indispensable software component of modern cloud-native applications. However, it also becomes increasingly challenging to perform critical management tasks such as troubleshooting unexpected performance problems. This is due to the ever-increasing diversity and specialization of NoSQL databases that make it difficult to observe the internal activities. To address these challenges, we have designed and built a technique for introspecting NoSQL databases. Our technique traces system call sequences of key operations under controlled workloads and filters scaling patterns from constant components. Novel algorithms are developed to uncover repeating patterns of system calls from massive amounts of traces and filter out background noise with high efficiency. The evaluation shows that our technique can greatly enhance the visibility into the NoSQL databases enabling us to diagnose performance problems or gain insights into internal activities. | Seo, Changho; Chae, Yunchang; Lee, Jaeryun; Seo, Euiseong; Tak, Byungchul | Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu, South Korea; Sungkyunkwan Univ, Dept Comp Sci & Engn, Suwon, South Korea | Seo, Euiseong/F-6212-2010 | 57773126700; 57773300600; 57773643900; 14056969000; 6506911621 | changho.seo@knu.ac.kr;cyc@knu.ac.kr;jrlee@knu.ac.kr;euiseong@skku.edu;bctak@knu.ac.kr; | PROCEEDINGS OF THE IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2022 | 1542-1201 | 0.29 | 2025-06-25 | 1 | 1 | NoSQL database; Introspection; Visibility; Resource Consumption Model; System Call; Performance diagnosis | Introspection; NoSQL database; Performance diagnosis; Resource Consumption Model; System Call; Visibility | Application programs; Visibility; And filters; Consumption modeling; Internal activity; Introspection; NoSQL database; Performance diagnosis; Performance problems; Resource consumption model; Resources consumption; System calls; Database systems | English | 2022 | 2022 | 10.1109/noms54207.2022.9789934 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | ○ | Article | Novaluron Has Detrimental Effects on Sperm Functions | Although novaluron is an insect growth regulator with a low mammalian acute toxicity and a low risk to the environment and nontarget organisms, toxic effects of novaluron have been reported. However, no studies have yet evaluated the effect of novaluron on reproduction. Therefore, we examined the effects of novaluron on sperm functions. The spermatozoa of ICR mice were incubated with various concentrations of novaluron to induce capacitation. Then, sperm motion parameters and capacitation status were evaluated using CASA program and H33258/chlortetracycline staining. In addition, PKA activity and tyrosine phosphorylation were evaluated by Western blotting. After exposure, various sperm motion parameters were significantly decreased in a dose-dependent manner. The acrosome reaction was also significantly decreased in the high concentration groups. Sperm viability was significantly reduced at the highest concentration. In addition, PKA activity and tyrosine phosphorylation were also significantly altered. Thus, novaluron affects sperm viability, sperm motility, and motion kinematics during capacitation. Furthermore, it may promote the reduction in acrosome reactions. The physiological suppression of sperm function may depend on abnormal tyrosine phosphorylation via the alteration of PKA activity. Therefore, we suggest that it is necessary to consider reproductive toxicity when using novaluron as a pesticide. | Hwang, Ju-Mi; Bae, Jeong-Won; Jung, Eun-Ju; Lee, Woo-Jin; Kwon, Woo-Sung | Kyungpook Natl Univ, Dept Anim Sci & Biotechnol, Sangju, South Korea; Kyungpook Natl Univ, Dept Anim Biotechnol, Sangju, South Korea | Bae, Jeong-Won/AAH-4932-2021; Kwon, Woo-Sung/J-4391-2014; Kwon, Woo-Sung/J-6731-2019 | 57217871526; 57211231093; 57377289200; 57377138800; 54383715800 | ghkdwnal100@gmail.com;jwbae1822@gmail.com;red0787@naver.com;wj9059lee@naver.com;wskwon@knu.ac.kr; | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 1660-4601 | 19 | 1 | 1.08 | 2025-06-25 | 10 | 12 | novaluron; sperm function; capacitation; spermatozoa | MALE-FERTILITY; IN-VITRO; TOXICITY | Capacitation; Novaluron; Sperm function; Spermatozoa | Animals; Male; Mice; Mice, Inbred ICR; Phenylurea Compounds; Sperm Capacitation; Sperm Motility; Spermatozoa; chlortetracycline; cyclic AMP dependent protein kinase; novaluron; pesticide; unclassified drug; carbanilamide derivative; novaluron; growth regulator; pesticide; physiological response; reproduction; rodent; sperm; toxicity; acrosome reaction; animal cell; animal experiment; animal tissue; Article; cell viability; concentration (parameter); controlled study; enzyme activity; Institute for Cancer Research mouse; male; mouse; nonhuman; phosphorylation; reproductive toxicity; sperm capacitation; sperm function; spermatozoon; spermatozoon motility; staining; Western blotting; animal; sperm capacitation; spermatozoon motility | English | 2022 | 2022-01 | 10.3390/ijerph19010061 | 바로가기 | 바로가기 | 바로가기 | |||||||||
| ○ | Conference paper | Numerical Analysis of Breakdown Phenomena for Polymeric Insulators After Thermal Aging Process | We numerically analyzed the changes in breakdown strength after the thermal aged low-density polyethylene employing quantum chemical calculations. The newly generated impurity in the molecular chain produced the new energy states by the thermal aging process. The quantum chemical calculation contributed to analyzing these microscopic changes in energy state. In particular, the increases of deep traps greatly affected the space charge dynamics and breakdown strength. Finally, we numerically analyzed the changes in the deep trap that played an important role in changing the breakdown strength by employing the finite element method. © 2022 IEEE. | Kim, Minhee; Kim, Su-Hun; Kim, Hyeong-Jun; Lee, Se-Hee | Kyungpook National University, School of Electronic and Electrical Engineering, 80 Daehak-ro Buk-gu, Daegu, 41566, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, 80 Daehak-ro Buk-gu, Daegu, 41566, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, 80 Daehak-ro Buk-gu, Daegu, 41566, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, 80 Daehak-ro Buk-gu, Daegu, 41566, South Korea | 57214228950; 57188669953; 57895694900; 55009905600 | ICD 2022 - IEEE 2022 4th International Conference on Dielectrics, Proceedings | 0.69 | 2025-06-25 | 1 | Chemical analysis; Electric breakdown; Electron energy levels; Quantum chemistry; Quantum theory; Ageing process; Breakdown phenomena; Breakdown strengths; Deep traps; Impurities in; Molecular chains; Polymeric insulators; Quantum chemical calculations; Quantum-chemical calculation; Thermal; Thermal aging | English | Final | 2022 | 10.1109/icd53806.2022.9863587 | 바로가기 | 바로가기 |
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