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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 ⓘ Vulnerability of Brassica oleracea L. (cabbage) grown in microplastic-contaminated soil to extreme climatic events associated with freeze-thaw ⓘ Climate change and environmental pollution have increased the frequency and severity of extreme weather events, exposing plants to multifactorial stress conditions that are poorly understood. While extensive research has explored plant responses to individual stress factors, the impact of combined stresses-such as microplastic (MP) contamination and freeze-thaw cycles-remains largely unexamined. This research investigated how soil microplastic pollution affects the freezing tolerance of cabbage (Brassica oleracea L.), a crop vulnerable to unexpected frosts. Seedlings were grown in soils containing varying MP concentrations (0 %, 2 %, 5 %, and 10 % w/w), and their physiological responses to freezing events (-2.5 degrees C and -3.5 degrees C) were assessed. Our findings revealed that although MP particles were not detected in leaf tissues, MP contamination significantly reduced freezing tolerance in a dose-dependent manner. Plants grown in 10 % MP-treated soil exhibited higher membrane damage, as indicated by increased ion leakage and malondialdehyde levels, and showed more severe oxidative stress, with elevated superoxide (O-2(center dot-)) and hydrogen peroxide (H2O2) accumulation. These stress responses corresponded with suppressed antioxidant enzyme activities, including catalase (CAT), ascorbate peroxidase (APX), and superoxide dismutase (SOD). Principal component analysis (PCA) demonstrated distinct physiological patterns between control and MP-treated plants, emphasizing the disruptive impact of MP pollution on stress resilience. This study provides the first empirical evidence that soil microplastic contamination compromises plant tolerance to freeze-thaw cycles, highlighting an overlooked risk to crop performance in changing environmental conditions and calling for further research into the long-term ecological consequences of terrestrial MP pollution. ⓘ Min, Kyungwon; Kim, Gyuwon; Lee, Hyoungseok; Kim, Young-Kwan; Lee, Sung-Eun; Lee, Sang-Ryong ⓘ Dongguk Univ, Dept Biol & Environm Sci, Seoul 04620, South Korea; Korea Polar Res Inst, Div Life Sci, Incheon, South Korea; Dongguk Univ, Dept Chem, Seoul 04620, South Korea; Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea ⓘ ⓘ 56051297100; 58790188200; 57216148355; 58417241600; 59896108900; 57191419414 ⓘ leesang@dongguk.edu; ⓘ ENVIRONMENTAL AND EXPERIMENTAL BOTANY ⓘ ENVIRON EXP BOT ⓘ 0098-8472 1873-7307 232 SCIE ENVIRONMENTAL SCIENCES;PLANT SCIENCES ⓘ 2024 4.7 13.0 0 2025-05-07 ⓘ 0 0 Freezing thaw stress; Microplastics; Cabbage; Extreme climate events; Reactive oxygen species ⓘ PLASMA-MEMBRANE; SUPEROXIDE-DISMUTASE; KNOWLEDGE GAPS; INJURY; RECOVERY; STRESS; GERMINATION; MECHANISM; SYSTEM; PLANTS ⓘ Cabbage; Extreme climate events; Freezing thaw stress; Microplastics; Reactive oxygen species ⓘ extreme event; freeze-thaw cycle; leafy vegetable; plastic waste; pollution tolerance; reactive oxygen species; soil pollution; vulnerability ⓘ English 2025 2025-04 10.1016/j.envexpbot.2025.106110 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Diagnosis and treatment of infectious endocarditis caused by Paenibacillus lautus in a small-breed dog: a case report ⓘ BackgroundInfectious endocarditis is an uncommon disease in dogs; however, its incidence and survival rates have increased owing to advances in the understanding of the disease and diagnostic techniques. For diagnosis, it is necessary to determine whether a dog suspected of being infected has any abnormalities that meet the modified Duke criteria. Staphylococcus spp., Streptococcus spp., and Escherichia coli are the most commonly isolated bacteria causing infective endocarditis in dogs, whereas the less commonly isolated bacteria include Pseudomonas spp. and Proteus spp.Case presentationA 5-year-old neutered male Maltese presented with lethargy, anorexia, anaemia, and pyrexia. A vegetative mass in the aortic valve was identified on echocardiography, and the possibility of endocarditis was considered. The dog's fever, anorexia, and lethargy rapidly improved in response to the initial antibiotics and prednisolone, which was prescribed for a possible immune-mediated disorder. However, the dog's condition deteriorated again after discontinuing antibiotics and tapering the prednisolone dose. During this period, Paenibacillus spp. was isolated from blood cultures. After prescribing antibiotics based on the sensitivity results and adding hydralazine to reduce afterload, the dog survived without recurrence of symptoms to date.ConclusionsPaenibacillus spp. was identified as the causative agent of infectious endocarditis. A favourable prognosis can be expected if appropriate antibiotics in combination with medications that address the blood flow changes due to valve damage are used. ⓘ Chae, Hyung-Kyu; Ji, Seoyeoun; Cheon, Doo-Sung; Yoon, Won-Kyoung; Hong, Yeon-Jung ⓘ Western Referral Anim Med Ctr, Dept Vet Internal Med, Seoul 04101, South Korea; Kyungpook Natl Univ, Coll Vet Med, Dept Vet Clin Nutr, Daegu 41566, South Korea; Seoul Natl Univ, Dept Vet Radiol, Seoul 08826, South Korea; Postbio Inc, Namyangju 12106, South Korea; Korea Soc Feline Med, Seoul 05556, South Korea; Western Referral Anim Med Ctr, Dept Vet Surg, Seoul 04101, South Korea; Guardian Angel Anim Hosp, Dept Vet Cardiol, Anyang 14112, South Korea ⓘ ⓘ 57194644489; 55256572500; 6603797758; 50462660400; 55608160100 ⓘ vetchae@knu.ac.kr; harleyyoon@hanmail.net; vethong@hanmail.net; ⓘ BMC VETERINARY RESEARCH ⓘ BMC VET RES ⓘ 1746-6148 21 1 SCIE VETERINARY SCIENCES ⓘ 2024 2.6 13.2 0 2025-06-11 ⓘ 0 0 Blood culture; Canine; Infectious endocarditis; Paenibacillus lautus; Heart failure ⓘ ⓘ Blood culture; Canine; Heart failure; Infectious endocarditis; Paenibacillus lautus ⓘ Animals; Anti-Bacterial Agents; Dog Diseases; Dogs; Echocardiography; Endocarditis, Bacterial; Gram-Positive Bacterial Infections; Male; Paenibacillus; amikacin; amino terminal pro brain natriuretic peptide; amoxicillin plus clavulanic acid; antibiotic agent; antinuclear antibody; C reactive protein; cefazolin; clindamycin; clopidogrel; creatinine; doxycycline; enrofloxacin; furosemide; gentamicin; hydralazine; pravic; prednisolone; rivaroxaban; sultamicillin; torasemide; torsemid; troponin I; ubacilin; vancomycin; yucla; antiinfective agent; adult; alopecia; Anaplasma; anemia; animal experiment; animal model; anisocytosis; anorexia; antibiotic resistance; aortic leaflet; aortic regurgitation; Article; Babesia; bacterium identification; Bartonella; bilateral medial patellar luxation; blood culture; blood smear; bronchointerstitial pattern; clinical chemistry; continuous infusion; controlled study; cytology; dermatitis; diagnostic accuracy; diastolic murmur; diffuse alveolar interstitial pattern; dog; Doppler echocardiography; drug dose reduction; echocardiography; Ehrlichia; erythema; erythrocyte; Escherichia coli; fever; heart murmur; hematocrit; hospitalization; immunofluorescence assay; incidence; infective endocarditis; jet diameter; lethargy; leukocyte count; lung edema; male; matrix assisted laser desorption ionization time of flight mass spectrometry; neutrophilic inflammation; nonhuman; Paenibacillus; Paenibacillus lautus; pleura effusion; prescription; pressure half time; Proteus; Pseudomonas; real time polymerase chain reaction; rectal temperature; reticulocyte count; sensitivity analysis; spherocytosis; Staphylococcus; Streptococcus; survival analysis; systolic blood pressure; thorax radiography; trivial valvular insufficiency; urinalysis; vegetative mass; vertebral heart score; animal; bacterial endocarditis; case report; diagnosis; dog; dog disease; drug therapy; Gram positive infection; isolation and purification; microbiology; veterinary medicine ⓘ English 2025 2025-06-04 10.1186/s12917-025-04805-w ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Flow mechanism of a vibrating prism using the combined K-nearest neighbor and dynamic mode decomposition method ⓘ This study proposes a novel hybrid method, K-nearest neighbor and dynamic mode decomposition (KNN-DMD), for capturing modes of vibrating prisms in the flow field. To validate the effectiveness of the proposed KNN-DMD, the velocity field under structural vibration amplitudes with 0%, 10% and 18% is obtained using large eddy simulation. KNN-DMD is utilized to identify dominant features of the flow field around the prism, such as lowfrequency mode, the primary vortex shedding mode, second harmonic mode, and forced vibration mode. The low-frequency mode is associated with fluctuations in the incoming turbulent flow. The primary vortex shedding manifests as the periodic shedding of vortices in the wake region, revealing the dynamics of the shear layer and the process of shedding in the Karman vortex street. The second harmonic mode, which is a higher-order form of the Karman vortex street, supplements smaller-scale vortex structures and enriches the vortex characteristics. The forced vibration mode, reflecting the range and intensity of the vibration effect, forms shear layers that propagate to both sides and exhibit an alternate shedding phenomenon. The KNN-DMD reveals the structural modal forms in fluid dynamics more comprehensively and facilitates future research on the fluid-solid interaction and nonlinear stochastic systems. ⓘ Chen, Zengshun; Zhang, Likai; Wu, Yujie; Guan, Tengda; Ma, Yuhao; Xu, Yemeng; Li, Sunwei; Li, Ke; Wang, Qian ⓘ Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China; Chongqing Univ, Coll Mat Sci & Engn, Chongqing 400045, Peoples R China; Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China; Kyungpook Natl Univ, Dept Robot & Smart Syst, 80 Daehak Ro, Daegu, South Korea ⓘ Wu, Yujie/HSG-5270-2023; Li, Ke/HZM-6170-2023 ⓘ 55866149500; 57217526147; 59300431600; 59220198000; 59534989100; 57211392073; 55523768500; 57013752000; 59535209500 ⓘ xu.ym@cqu.edu.cn; ⓘ JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS ⓘ J WIND ENG IND AEROD ⓘ 0167-6105 1872-8197 258 SCIE ENGINEERING, CIVIL;MECHANICS ⓘ 2024 4.9 13.2 0 2025-05-07 ⓘ 1 1 K -nearest neighbor; Dynamic mode decomposition; Dynamic mesh; Bluff body; Flow features identification ⓘ COHERENT STRUCTURES; SIMULATION; QUALITY; DMD; POD ⓘ Bluff body; Dynamic mesh; Dynamic mode decomposition; Flow features identification; K-nearest neighbor ⓘ Flow fields; Shear flow; Turbulent flow; Vortex flow; Bluff body; Dynamic mesh; Dynamic mode decompositions; Features identification; Flow feature identification; Flow features; K-near neighbor; Low-frequency modes; Nearest-neighbour; Primary vortex; Vortex shedding ⓘ English 2025 2025-03 10.1016/j.jweia.2025.106013 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Article ⓘ Impact of sloped terrain on wind loads in high-rise Buildings: An experimental wind tunnel investigation ⓘ Topographic wind effects can significantly enhance wind loads on high-rise buildings, leading to structural damage, occupant discomfort, and increased safety risks. This study investigates the impact of sloped terrain on wind loads through synchronized pressure measurements in a wind tunnel. We tested square-sectioned high-rise building models under various slope gradients and building-slope spacings. Our analysis systematically compared disturbed wind profiles, surface pressure distributions, and wind forces on the building model across different terrains. The findings indicate that sloped terrains intensify flow acceleration, amplifying mean wind pressures by approximately 20 % on upper building sections (z/H > 0.7) compared to flat terrain. Moreover, terrain-induced turbulence increases fluctuating pressures and alters flow structures near a building's base. Interestingly, the increase in terrain slope is positively associated with the intensity of terrain-induced turbulence; however, flow acceleration does not exhibit a linear relationship with the terrain slope. Under identical terrain heights, a mild slope may induce a great degree of acceleration, leading to a more substantial increase in wind loading. These results provide direct evidence for wind load regulations for buildings situated in sloped terrain. © 2025 ⓘ Chen, Zengshun; Zhao, Zhihang; Wang, Siyu; Xu, Yemeng; Qin, Zhangchen; Li, Ke; Kim, Bubryur ⓘ School of Civil Engineering, Chongqing University, Chongqing, 400045, China; School of Civil Engineering, Chongqing University, Chongqing, 400045, China; School of Civil Engineering, Chongqing University, Chongqing, 400045, China; School of Civil Engineering, Chongqing University, Chongqing, 400045, China, College of Aerospace Engineering, Chongqing University, Chongqing, 400045, China; School of Civil Engineering, Chongqing University, Chongqing, 400045, China; School of Civil Engineering, Chongqing University, Chongqing, 400045, China; Department of Robot & Smart System Engineering, Kyungpook National University, Daegu, South Korea ⓘ ⓘ 55866149500; 57216746729; 57896758800; 57211392073; 58107556000; 57013752000; 57198355299 ⓘ xu.ym@cqu.edu.cn; ⓘ Journal of Wind Engineering and Industrial Aerodynamics ⓘ J WIND ENG IND AEROD ⓘ 0167-6105 1872-8197 264 SCIE ENGINEERING, CIVIL;MECHANICS ⓘ 2024 4.9 13.2 ⓘ 0 ⓘ ⓘ High-rise buildings; Pressure measurements; Slope gradients; Terrain spacing; Topographic wind effects; Wind loads; Wind tunnel tests ⓘ Aerodynamic loads; Landforms; Structural analysis; Structural dynamics; Tall buildings; Wind stress; Wind tunnels; Building model; Flow acceleration; High rise building; Slope gradients; Sloped terrains; Terrain spacing; Terrain-induced turbulence; Topographic wind effect; Wind load; Wind tunnel tests; Pressure measurement ⓘ English Final 2025 10.1016/j.jweia.2025.106156 ⓘ 바로가기 바로가기 바로가기
○ Review ⓘ Perspective on direct seawater electrolysis and electrodesalination: innovations and future directions for mining green X ⓘ Molecular hydrogen (H2) represents a sustainable and environmentally benign energy resource. Of the various methodologies that have been developed for H2 production, water electrolysis has garnered particular attention due to its ability to generate H2 without emitting CO2 or other pollutants, with seawater electrolysis receiving significant focus due to the abundance and accessibility of seawater. However, both direct and indirect seawater electrolysis technologies have a number of practical limitations, including the high energy consumption and maintenance costs associated with seawater desalination systems and the need for strong alkaline conditions. Nevertheless, indirect seawater electrolysis, which amalgamates desalination and water electrolysis processes by employing clean water produced by seawater reverse osmosis (RO) as the feed for water splitting, is currently considered more economical than direct electrolysis. Electrodeionization has also emerged as an alternative to conventional seawater RO due to its high energy efficiency and environmental advantages. In addition, the development of environmentally friendly processes to simultaneously extract high-value compounds from seawater and the brine produced as a by-product from seawater RO can mitigate the high process costs associated with seawater electrolysis and deionization. Recent advancements in seawater electrolysis technologies based on the chlorine evolution reaction (CER) have also been reported, with the generated chlorine harnessed as a resource in other processes. The CER and electrodeionization can be used in a diverse array of other applications, including chlorine-mediated electrochemical redox reactions, the desalination-coupled electrochemical production of acids and bases, resource recovery from seawater and brine, direct ocean CO2 capture, and reverse electrodialysis for green electricity production. In this perspective, we first compare the mechanisms, thermodynamics, and kinetics of the CER with those of the oxygen evolution reaction (OER). Subsequently, we introduce an array of electrodeionization technologies that can be seamlessly integrated with seawater electrolysis systems. We then describe the various applications of seawater electrolysis and electrodeionization technologies, before addressing the remaining challenges and offering insights into the future prospects for the electrochemical utilization of seawater resources. ⓘ Moon, Gun-hee; Lim, Jonghun; Kim, Byeong-ju; Han, Dong Suk; Park, Hyunwoong ⓘ Korea Inst Sci & Technol, Extreme Mat Res Ctr, Seoul 02792, South Korea; Korea Inst Sci & Technol, Climate Change Res Inst, Seoul 02792, South Korea; Sungshin Womens Univ, Dept Environm & Energy Engn, Seoul 01133, South Korea; Kyungpook Natl Univ, Sch Energy Engn, Daegu 41566, South Korea; Qatar Univ, Ctr Adv Mat, POB 2713, Doha, Qatar ⓘ Han, Dong SuK/AAX-9333-2021; Han, Dong Suk/Q-8641-2017; Moon, Gun-hee/A-3279-2017; Park, Hyunwoong/A-1247-2012 ⓘ ⓘ hwp@knu.ac.kr; ⓘ GREEN CHEMISTRY ⓘ GREEN CHEM ⓘ 1463-9262 1463-9270 27 4 SCIE CHEMISTRY, MULTIDISCIPLINARY;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ⓘ 2024 9.2 13.2 ⓘ 5 ⓘ SELECTIVE OXYGEN EVOLUTION; ION-EXCHANGE MEMBRANES; CAPACITIVE DEIONIZATION; REVERSE ELECTRODIALYSIS; WATER DESALINATION; ELECTROCHEMICAL DESALINATION; HYDROGEN GENERATION; LITHIUM EXTRACTION; CHLORINE EVOLUTION; FARADAIC REACTIONS ⓘ ⓘ ⓘ English 2025 2025-01-20 10.1039/d4gc04930f ⓘ 바로가기 바로가기 바로가기
○ ○ Article ⓘ Polyphenol-based fire-resistant coatings: a bio-inspired solution for forest fire prevention ⓘ The bark of hardwood trees contains abundant polyphenols, which can rapidly transform into a graphite layer that acts as a thermal barrier, minimizing fire damage. Inspired by this natural fire resistance mechanism, we developed an eco-friendly, cost-effective fire-retardant coating system for forest fire prevention. Comprising only pyrogallol (PG) and polyethyleneimine (PEI), the system forms a polyphenolic layer through oxygen-mediated oxidative crosslinking when exposed to air. This method uses water as the sole solvent and requires no additional catalysts, allowing easy, material-independent application via spray-coating. Heat resistance tests showed that the PG-PEI coating improved the wood's inherent fire resistance by approximately threefold, attributed to the rapid coating conversion into a graphite layer at high temperatures, as confirmed by X-ray photoelectron and Raman spectroscopies. Furthermore, a 70-day colorimetric analysis under simulated weathering conditions exposure demonstrated the coating's durability against environmental stresses. The PG-PEI coating also preserved wood's natural functionality, supporting tree health, as evidenced by the high survival rates of the treated trees. These findings suggest the PG-PEI coating is a promising solution for mitigating forest fire damage while maintaining eco-friendliness and practicality. ⓘ Castillo, Mark John; Kang, Jumi; Lim, Jinkyu; Park, Minok; Lee, Kyueui ⓘ Kyungpook Natl Univ, Dept Chem, Daegu 41566, South Korea; Catholic Univ Korea, Dept Energy & Environm Engn, Bucheon 14662, South Korea; Hanbat Natl Univ, Dept Chem & Biol Engn, Daejeon 34158, South Korea; Lawrence Berkeley Natl Lab, Energy Technol Area, Berkeley, CA 94720 USA; Kongju Natl Univ, Dept Mech & Automot Engn, Chungnam 31080, South Korea; Kyungpook Natl Univ, KNU Inst Basic Sci, Daegu 41566, South Korea; Kyungpook Natl Univ, KNU G LAMP Project Grp, Daegu 41566, South Korea; Kyungpook Natl Univ Hosp, Biomed Res Inst, Daegu 41940, South Korea ⓘ Lee, Kyueui/ACR-8902-2022 ⓘ 59721442900; 58003581400; 57188990370; 57212683444; 59816982400 ⓘ minokpark@kongju.ac.kr; kyueui@knu.ac.kr; ⓘ GREEN CHEMISTRY ⓘ GREEN CHEM ⓘ 1463-9262 1463-9270 27 17 SCIE CHEMISTRY, MULTIDISCIPLINARY;GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ⓘ 2024 9.2 13.2 0 2025-05-07 ⓘ 0 0 ⓘ PERFLUORINATED SURFACTANTS; US ⓘ ⓘ Colorimetric analysis; Crosslinking; Deforestation; Energy efficiency; Fire extinguishers; Fire hazards; Fireclay; Fireproofing; Flame resistance; Hardwoods; Premixed flames; Sprayed coatings; Thermal barrier coatings; Wood preservation; Eco-friendly; Fire damages; Fire resistant coatings; Forest fire prevention; Graphite layers; Natural fire; Poly(ethyleneimine); Polyphenols; Resistance mechanisms; Thermal barrier; Weathering ⓘ English 2025 2025-04-22 10.1039/d4gc06191h ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Comparative Colonisation Ability of Human Faecal Microbiome Transplantation Strategies in Murine Models ⓘ The gut microbiome plays a crucial role in maintaining intestinal homeostasis and influencing immune-mediated diseases. Human faecal microbiota transplantation (FMT) is often employed in murine models to investigate the role of human microbes in disease regulation, but methods for effective colonisation require refinement. This study aimed to assess the colonisation efficiency of human microbiota in a murine model using FMT with human faeces, focusing particularly on the impact of gut microbiota depletion via polyethylene glycol (PEG) and comparing oral-gastric gavage with enema administration routes. Our findings revealed that PEG-induced depletion enhanced human microbiome colonisation in mice. Oral-gastric gavage prolonged colonisation, while enema administration facilitated quicker resolution of dysbiosis, both inducing selective human microbial colonisation in a time-dependent manner. Notably, genera such as Bacteroides, Blautia, Medicaternibacter and Bifidobacteria were successfully colonised, whereas Roseburia, Anaerostipes, Anaerobutyricum and Faecalibacterium failed to establish in the murine gut post-FMT. These findings highlight the challenges of replicating human gut microbiota in murine models and underscore the importance of selecting appropriate FMT methods based on desired outcomes. This study provides valuable insights into the colonisation dynamics of human microbiota in mice, contributing to the development of more effective FMT strategies for disease treatment. ⓘ Gu, Bon-Hee; Jung, Ho Young; Rim, Chae-Yun; Kim, Tae-Yong; Lee, Sang-Jin; Choi, Doo Young; Park, Han-Ki; Kim, Myunghoo ⓘ Pusan Natl Univ, Life & Ind Convergence Res Inst, Miryang, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Div Allergy & Clin Immunol,Dept Internal Med, Daegu, South Korea; Pusan Natl Univ, Coll Nat Resources & Life Sci, Dept Anim Sci, Miryang, South Korea ⓘ Lee, Sang Jin/S-4056-2019; Kim, Taeyong/ABG-4877-2020 ⓘ 26537340600; 58150960400; 57222586213; 57222744974; 58847853500; 58151576900; 57218664064; 36611749600 ⓘ haan33@gmail.com; kimmhmm3@gmail.com; ⓘ MICROBIAL BIOTECHNOLOGY ⓘ MICROB BIOTECHNOL ⓘ 1751-7915 18 6 SCIE MICROBIOLOGY;BIOTECHNOLOGY & APPLIED MICROBIOLOGY ⓘ 2024 5.2 13.3 0 2025-06-11 ⓘ 0 0 enema; gut microbiome depletion; human faecal microbiota transplantation (FMT); human microbiota colonisation; intra-rectal injection; oral-gastric gavage; polyethylene glycol (PEG) ⓘ GUT MICROBIOTA; BACTERIAL; CELLS ⓘ enema; gut microbiome depletion; human faecal microbiota transplantation (FMT); human microbiota colonisation; intra-rectal injection; oral-gastric gavage; polyethylene glycol (PEG) ⓘ Animals; Bacteria; Disease Models, Animal; Dysbiosis; Fecal Microbiota Transplantation; Feces; Gastrointestinal Microbiome; Humans; Male; Mice; Models, Animal; enema; macrogol; Akkermansia; Akkermansiaceae; Alistipes; Anaerobutyricum; Anaerostipes; animal experiment; animal model; animal tissue; Article; bacterial load; bacterial strain; bacterium; Bacteroides; Bifidobacterium; Blautia; Citrobacter; Collinsella; Duncaniella; Enterobacteriaceae; Enterococcaceae; Escherichia; Faecalibacterium; fecal microbiota transplantation; feces microflora; human; immune response; immunophenotyping; immunoregulation; intestine flora; Kineothrix; Lactobacillaceae; Ligilactobacillus; Medicaternibacter; Mediterraneibacter; microbial colonization; microbial diversity; mouse; Muribaculaceae; Muribaculum; murine model; nonhuman; Parabacteroides; Phocaeicola; Prevotella; Prevotellaceae; Rikenellaceae; Romboutsia; Roseburia; Sangeribacter; Tannerellaceae; Veillonella; animal; bacterium; classification; comparative study; disease model; dysbiosis; feces; genetics; growth, development and aging; intestine flora; isolation and purification; male; microbiology; procedures; therapy ⓘ English 2025 2025-06 10.1111/1751-7915.70173 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance ⓘ PurposeThis study aimed to examine the satisfaction of dental professionals, including dental students, dentists, and dental technicians, with computer-aided design (CAD) software performance using deep learning (DL) and explainable artificial intelligence (XAI)-based behavioral analysis concepts.Materials and MethodsThis study involved 436 dental professionals with diverse CAD experiences to assess their satisfaction with various dental CAD software programs. Through exploratory factor analysis, latent factors affecting user satisfaction were extracted from the observed variables. A multilayer perceptron artificial neural network (MLP-ANN) model was developed along with permutation feature importance analysis (PFIA) and the Shapley additive explanation (Shapley) method to gain XAI-based insights into individual factors' significance and contributions.ResultsThe MLP-ANN model outperformed a standard logistic linear regression model, demonstrating high accuracy (95%), precision (84%), and recall rates (84%) in capturing complex psychological problems related to human attitudes. PFIA revealed that design adjustability was the most important factor impacting dental CAD software users' satisfaction. XAI analysis highlighted the positive impacts of features supporting the finish line and crown design, while the number of design steps and installation time had negative impacts. Notably, finish-line design-related features and the number of design steps emerged as the most significant factors.ConclusionsThis study sheds light on the factors influencing dental professionals' decisions in using and selecting CAD software. This approach can serve as a proof-of-concept for applying DL-XAI-based behavioral analysis in dentistry and medicine, facilitating informed software selection and development. ⓘ Mai, Hang-Nga; Win, Thaw Thaw; Kim, Hyeong-Seob; Pae, Ahran; Att, Wael; Nguyen, Dang Dinh; Lee, Du-Hyeong ⓘ Kyungpook Natl Univ, Inst Translat Res Dent, Daegu, South Korea; Hanoi Univ Business & Technol, Hanoi, Vietnam; Kyungpook Natl Univ, Sch Dent, Dept Periodontol, Daegu, South Korea; Kyung Hee Univ, Med Ctr, Coll Dent, Dept Prosthodont, Seoul, South Korea; Univ Freiburg, Fac Med, Ctr Dent Med, Dept Prosthet Dent, Freiburg, Germany; Kyungpook Natl Univ, Sch Mech Engn, Daegu, South Korea; Univ Iowa, Coll Dent & Dent Clin, Dept Prosthodont, Iowa City, IA USA; Face Dent Grp, Boston, MA USA ⓘ ; Win, Thin/GSJ-3091-2022; Mai, Hang-Nga/Q-9865-2018; Kim, Soo-Yeon/ADR-9663-2022 ⓘ 56964780900; 58157726100; 55330105000; 24449635900; 57193980006; 57447274900; 35770948000 ⓘ deweylee@knu.ac.kr; ⓘ JOURNAL OF PROSTHODONTICS-IMPLANT ESTHETIC AND RECONSTRUCTIVE DENTISTRY ⓘ J PROSTHODONT ⓘ 1059-941X 1532-849X 34 2 SCIE DENTISTRY, ORAL SURGERY & MEDICINE ⓘ 2024 3.6 13.3 0 2025-05-07 ⓘ 0 0 artificial intelligence; computer-aided design software; deep learning; explainable artificial intelligence; exploratory factor analysis; satisfaction ⓘ EXPLORATORY FACTOR-ANALYSIS; CUSTOMER SATISFACTION ⓘ artificial intelligence; computer-aided design software; deep learning; explainable artificial intelligence; exploratory factor analysis; satisfaction ⓘ Adult; Artificial Intelligence; Computer-Aided Design; Deep Learning; Dental Prosthesis Design; Dental Technicians; Dentists; Female; Humans; Male; Neural Networks, Computer; Personal Satisfaction; Software; Students, Dental; adult; article; artificial intelligence; artificial neural network; computer aided design; controlled study; deep learning; dental student; dental technician; dentist; drug development; explainable artificial intelligence; exploratory factor analysis; female; human; linear regression analysis; major clinical study; male; multilayer perceptron; proof of concept; prosthodontist; recall; regression model; satisfaction; Shapley additive explanation; software; dentist; procedures; prosthesis design; psychology; satisfaction ⓘ English 2025 2025-02 10.1111/jopr.13900 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Measuring Virtual Event Quality (VEQual): Scale Development and Validation ⓘ Traditional in-person events are becoming virtual or hybrid events with the rise of more innovative platforms. The market for virtual events has expanded considerably, with a concomitant rise in the demand for research on the nature and dynamics of virtual events. However, research on virtual event quality (VEQual) remains in its infancy, lagging behind the industry's rise and resulting in a lack of understanding of the concept and how it is measured. This study aims to develop and validate a psychometrically sound and managerially useful instrument for measuring VEQual. This study allows both researchers and practitioners to investigate and operationalize a focal concept, VEQual, contributing to a better understanding of the measurement of various aspects of virtual events. ⓘ Kim, Sung-Eun; Kim, Hyelin (Lina); Kim, Jun-Yeob ⓘ Kyungpook Natl Univ, Dept Tourism, Sangju, South Korea; Univ Nevada, William F Harrah Coll Hospitality, 4505 S Maryland Pkwy, Las Vegas, NV 89154 USA; Univ Illinois, Dept Psychol, Champaign, IL USA ⓘ Kim, Jun-Yeob/JDC-8794-2023 ⓘ 57193428401; 56324575700; 57217233970 ⓘ hyelin.kim@unlv.edu; ⓘ JOURNAL OF HOSPITALITY & TOURISM RESEARCH ⓘ J HOSP TOUR RES ⓘ 1096-3480 1557-7554 49 3 SSCI HOSPITALITY, LEISURE, SPORT & TOURISM ⓘ 2024 5.3 13.3 0 2025-05-07 ⓘ 2 2 virtual event; virtual event quality; e-service quality; virtual event scale; Churchill's paradigm ⓘ E-SERVICE QUALITY; USER ACCEPTANCE; ONLINE SERVICES; E-SATISFACTION; SOCIAL MEDIA; FIT INDEXES; TRAVEL; INTERACTIVITY; TECHNOLOGY; VIVIDNESS ⓘ Churchill’s paradigm; e-service quality; virtual event; virtual event quality; virtual event scale ⓘ ⓘ English 2025 2025-03 10.1177/10963480231220263 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Entropy-weighted medoid shift: An automated clustering algorithm for high-dimensional data ⓘ Unveiling the intrinsic structure within high-dimensional data presents a significant challenge, particularly when clusters manifest themselves in lower-dimensional subspaces rather than in the full feature space. This complexity is prevalent in real-world datasets, such as text documents and images, which often contain numerous noisy or sparse features. Traditional clustering methods often overlook these latent subspace structures. This paper introduces a novel subspace-based clustering algorithm designed explicitly to address this challenge. Building upon the robust medoid shift framework, we integrate a dimensionality reduction scheme that dynamically projects data onto evolving subspaces determined through entropy-constrained optimization. This approach effectively filters irrelevant information and identifies underlying clusters, optimizing subspace representation while avoiding trivial solutions. Unlike existing methods, our algorithm ensures convergence without necessitating stopping criteria, thereby enabling efficient processing of large datasets. We validate the efficacy of our approach through extensive experiments on synthetic and real-world datasets, demonstrating substantial performance enhancements over state-of-the-art techniques. By explicitly uncovering the underlying subspace structures, our method opens new avenues for effective high-dimensional data clustering and offers valuable insights into complex data environments. ⓘ Kumar, Abhishek; Ajani, Oladayo S.; Das, Swagatam; Mallipeddi, Rammohan ⓘ VSB Tech Univ Ostrava, Energy & Environm Technol Ctr, ENET Ctr, Ostrava 70800, Czech Republic; Kyungpook Natl Univ, Dept Artificial Intelligence, Daehak Ro, Daegu 41566, South Korea; Indian Stat Inst, Elect & Commun Sci Unit, Kolkata 700108, W Bengal, India ⓘ Mallipeddi, Rammohan/AAL-5306-2020; AJANI, Oladayo/HIR-9607-2022; Das, Swagatam/AAG-6753-2019; Kumar, Abhishek/ABA-5251-2021 ⓘ 57206266703; 57465126000; 24729258600; 25639919900 ⓘ abhishek.kumar.eee13@itbhu.ac.in; oladayosolomon@gmail.com; swagatam.das@isical.ac.in; mallipeddi.ram@gmail.com; ⓘ APPLIED SOFT COMPUTING ⓘ APPL SOFT COMPUT ⓘ 1568-4946 1872-9681 169 SCIE COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ⓘ 2024 6.6 13.4 0 2025-05-07 ⓘ 0 0 Medoid shift; Data clustering; Unsupervised learning; High-dimensional data ⓘ MEAN-SHIFT ⓘ Data clustering; High-dimensional data; Medoid shift; Unsupervised learning ⓘ Constrained optimization; Data assimilation; Spatio-temporal data; Automated clustering; Data clustering; Feature space; High dimensional data; Intrinsic structures; Low-dimensional subspace; Medoid shift; Medoids; Real-world datasets; Text document ⓘ English 2025 2025-01 10.1016/j.asoc.2024.112347 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Parabolic Lipschitz truncation for multi-phase problems: The degenerate case ⓘ This article is devoted to exploring the Lipschitz truncation method for parabolic multi-phase problems. The method is based on Whitney decomposition and covering lemmas with a delicate comparison scheme of appropriate alternatives to distinguish phases, as introduced by the first and second authors in [B. Kim and J. Oh, Higher integrability for weak solutions to parabolic multi-phase equations, J. Differential Equations 409 2024, 223-298]. ⓘ Kim, Bogi; Oh, Jehan; Sen, Abhrojyoti ⓘ Kyungpook Natl Univ, Dept Math, Daegu 41566, South Korea; Goethe Univ Frankfurt, Inst Math, Robert Mayer Str 10, D-60629 Frankfurt, Germany ⓘ ⓘ 58904201600; 56673305300; 59207161700 ⓘ rlaqhrl4@knu.ac.kr; jehan.oh@knu.ac.kr; sen@math.uni-frankfurt.de; ⓘ ADVANCES IN CALCULUS OF VARIATIONS ⓘ ADV CALC VAR ⓘ 1864-8258 1864-8266 18 3 SCIE MATHEMATICS, APPLIED;MATHEMATICS ⓘ 2024 1.4 13.4 0 2025-05-07 ⓘ 0 0 Lipschitz truncation; parabolic multi-phase problems; parabolic systems; degenerate case; energy estimates ⓘ REGULARITY; MINIMIZERS ⓘ degenerate case; energy estimates; Lipschitz truncation; parabolic multi-phase problems; parabolic systems ⓘ ⓘ English 2025 2025-07-01 10.1515/acv-2025-0003 ⓘ 바로가기 바로가기 바로가기 바로가기
○ Article ⓘ Question-Answering System Powered by Knowledge Graph and Generative Pretrained Transformer to Support Risk Identification in Tunnel Projects ⓘ Risk identification is fundamental to effective risk management in any construction project. It is especially true for tunnel projects where technicality and complexity increase the risks, uncertainties, and challenges of realistic risk identification. However, two important issues need to be addressed in the current risk identification practice. First is the organization of previous project risk information (data) in unstructured and semistructured formats which hinders the use of emerging AI-based techniques and digitization of the risk management process. Second, overreliance on manual efforts and human experience, which is labor-intensive, error-prone, and time-consuming. To address these issues, this study proposes an intelligent question-answering system based on a knowledge graph and generative pretrained transformers (GPT) model. This study developed a tunnel risk knowledge graph (TRisKG) and then integrated the TRisKG with a GPT model to develop a question-answering system for tunnel project risks (QASTRisk). The proposed QASTRisk yielded a precision value of 97%, recall of 94%, and an F-1 score of 95%, indicating excellent performance compared to the existing studies. The proposed approach is appropriate for quick, effective, and intuitive risk identification at the early stage of tunnel projects as it can facilitate timely and reliable decision-making to prevent safety accidents and reduce project delays and cost overruns. Also, this work contributes to the body of knowledge by providing a framework for developing intelligent systems using artificial intelligence (AI) techniques to assist project managers in automatic and efficient risk identification at the preconstruction phase of the project. Thus, this enhances decision-making, improves project performance and the efficiency of project risk management practices, and increases productivity in the construction industry. ⓘ Isah, Muritala Adebayo; Kim, Byung-Soo ⓘ Kyungpook Natl Univ, Dept Civil Engn, 80 Daehakro, Daegu 41566, South Korea ⓘ ⓘ ⓘ isahmuritala@knu.ac.kr; bskim65@knu.ac.kr; ⓘ JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT ⓘ J CONSTR ENG M ⓘ 0733-9364 1943-7862 151 1 SCIE CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL;ENGINEERING, INDUSTRIAL ⓘ 2024 5.1 13.4 ⓘ 2 Risk management; Risk identification; Tunnel projects; Knowledge graph (KG); Question-answering system (QAS); Generative pretrained transformer (GPT) model ⓘ ⓘ ⓘ ⓘ English 2025 2025-01-01 10.1061/jcemd4.coeng-15230 ⓘ 바로가기 바로가기 바로가기
○ ○ Article ⓘ Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model ⓘ Background: This study estimates the incidence of seasonal infectious diseases, including influenza, norovirus, severe fever with thrombocytopenia syndrome (SFTS), and tsutsugamushi disease, in the Republic of Korea from 2005 to 2023. It also examines the impact of the COVID-19 pandemic on their transmission patterns. Methods: We employed the Seasonal AutoRegressive Integrated Moving Average with eXogenous variables (SARIMAX) model, long short-term memory (LSTM) neural networks, and a hybrid SARIMAX-LSTM model to predict disease incidence and identify outbreak periods. Meteorological data were incorporated into the models, and change point detection (CPD) was used to identify shifts in outbreak trends. Model predictions were compared with actual data to evaluate the influence of COVID-19 on disease incidence. Results: The incidence of influenza and norovirus was significantly affected by COVID-19, whereas SFTS and tsutsugamushi disease showed no substantial changes. Influenza did not return to pre-pandemic levels post-COVID-19, while norovirus incidence reverted to previous patterns. Despite a decrease in influenzalike illness (ILI) cases during the pandemic, predictive models indicated a potential resurgence of outbreaks. Conclusions: These findings highlight the need for tailored public health strategies for each disease. Early detection and timely interventions are essential for reducing healthcare burdens and improving health outcomes. (c) 2025 The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ⓘ Jang, Geunsoo; Seo, Jeonghwa; Lee, Hyojung ⓘ Kyungpook Natl Univ, Nonlinear Dynam & Math Applicat Ctr, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea ⓘ ⓘ 57471384400; 59742563300; 57196021198 ⓘ hjlee@knu.ac.kr; ⓘ JOURNAL OF INFECTION AND PUBLIC HEALTH ⓘ J INFECT PUBLIC HEAL ⓘ 1876-0341 1876-035X 18 7 SCIE INFECTIOUS DISEASES;PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH ⓘ 2024 4 13.5 0 2025-05-07 ⓘ 0 0 Seasonal infectious disease; COVID-19; Hybrid model; Outbreak; Change point detection ⓘ CLIMATE-CHANGE; NOROVIRUS; INFLUENZA ⓘ Change point detection; COVID-19; Hybrid model; Outbreak; Seasonal infectious disease ⓘ Caliciviridae Infections; Communicable Diseases; COVID-19; Disease Outbreaks; Humans; Incidence; Influenza, Human; Republic of Korea; SARS-CoV-2; Scrub Typhus; Seasons; Article; circannual rhythm; coronavirus disease 2019; cross correlation; data accuracy; environmental factor; epidemic; exogenous variable; extreme gradient boosting; forecasting; Fourier transform; gated recurrent unit network; hybrid SARIMAX-LSTM model; incidence; kernel method; long short term memory network; morbidity; norovirus infection; pandemic; precipitation; predictive model; random forest; regression model; scrub typhus; seasonal autoregressive integrated moving average with exogenous variable model; seasonal influenza; seasonal variation; severe fever with thrombocytopenia syndrome; temperature; time interval; time series analysis; calicivirus infection; communicable disease; epidemiology; human; influenza; scrub typhus; season; Severe acute respiratory syndrome coronavirus 2; South Korea ⓘ English 2025 2025-07 10.1016/j.jiph.2025.102772 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Antifungal and antimycotoxigenic activities of a synthetic zingerone-derivative 4-(4-hydroxy-3-nitrophenyl)-2-butanone against Aspergillus flavus and Fusarium graminearum ⓘ Fungal infections and mycotoxin contamination in agricultural products and processed foods pose a significant threat to grain safety and human health worldwide, while the emergence of fungal resistance to existing antifungal agents underscores the urgent need for new therapeutic solutions. In this study, zingerone and its 34 synthesized derivatives were evaluated for their antifungal activities against two fungal species, Aspergillus flavus and Fusarium graminearum. Among them, 4-(4-hydroxy-3-nitrophenyl)-2-butanone (designated as ZN22), where the methoxy group of zingerone is substituted by a nitro group, exhibited the strongest antifungal activity. In vitro antifungal activities were evaluated using agar diffusion, agar dilution, and mycelial growth inhibition assays. In the agar diffusion assay, ZN22 demonstrated potent antifungal activity against F. graminearum compared to A. flavus, showing similar inhibitory effects at concentrations of 50 mg/mL and 10 mg/mL, respectively. The agar dilution assay revealed more profound antifungal activity with significant inhibition at a concentration of 200 mg/L. In addition, it effectively inhibited aflatoxin production via significant downregulation of aflatoxin biosynthesis-related genes, while it enhanced deoxynivalenol production until it completely inhibited fungal mycelial growth. In vivo assay results conducted on cherry tomato fruits were consisted with in vitro results. The percentage of disease incidence treated with ZN22 at 5000, 10,000, and 50,000 mg/L in F. graminearum group and A. flavus group were reduced for 4.98 %, 21.52 %, 55.2 % and 65.37 %, 27.97 %, 48.15 %, respectively. Altogether, ZN22 has potential as a novel preservative in the agricultural and food industries, pending further safety evaluations. ⓘ Jung, Kwang-Soo; Lee, Yubin; Ganbat, Dariimaa; Park, Soo Jean; Lee, Sung-Eun ⓘ Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Integrat Biol, Daegu 41566, South Korea; Macquarie Univ, Appl BioSci, N Ryde, NSW 2109, Australia ⓘ ; Park, Soo/AAD-5131-2021 ⓘ 59234509300; 58617076900; 57225264879; 57188729436; 55890041600 ⓘ selpest@knu.ac.kr; ⓘ APPLIED FOOD RESEARCH ⓘ APPL FOOD RES ⓘ 2772-5022 5 1 ESCI FOOD SCIENCE & TECHNOLOGY ⓘ 2024 6.2 13.5 0 2025-05-07 ⓘ 1 1 Antifungal activity; Antimycotoxigenic activity; Aspergillus flavus; Fusarium graminearum; Aflatoxins; Deoxynivalenol ⓘ MYCOTOXINS; DISEASE; GENES; FUNGI; RICE ⓘ Aflatoxins; Antifungal activity; Antimycotoxigenic activity; Aspergillus flavus; Deoxynivalenol; Fusarium graminearum ⓘ 4 (4 hydroxy 3 nitrophenyl) 2 butanone; aflatoxin B1; aflatoxin B2; antifungal agent; azoxystrobin; unclassified drug; vomitoxin; zingerone; agar diffusion; agar dilution; antifungal activity; antimycotoxigenic activity; Article; Aspergillus flavus; concentration (parameter); controlled study; down regulation; drug activity; fungal strain; fungus culture; Fusarium graminearum; gene expression level; in vitro study; in vivo study; liquid chromatography-mass spectrometry; mycelial growth; nonhuman; real time reverse transcription polymerase chain reaction; tomato ⓘ English 2025 2025-06 10.1016/j.afres.2024.100664 ⓘ 바로가기 바로가기 바로가기 바로가기
○ ○ Article ⓘ Modeling vaccination prioritization strategies for post-pandemic COVID-19 in the Republic of Korea accounting for under-reporting and age-structure ⓘ Background: Vaccination has played a key role in limiting the impacts of COVID-19. Even though the acute phase of the COVID-19 pandemic is now over, the potential for substantial numbers of cases and deaths due to novel SARS-CoV-2 variants remains. In the Republic of Korea, a strategy of vaccinating individuals in high-risk groups annually began in October 2023. Methods: We used mathematical modeling to assess the effectiveness of alternative vaccination strategies under different assumptions about the number of available vaccine doses. An age-structured transmission model was developed using vaccination and seropositivity data. Various vaccination scenarios were considered, taking into account the effect of undetected or unreported cases (with different levels of reporting by age group): S1: prioritizing vaccination towards the oldest individuals; S2: prioritizing vaccination towards the youngest individuals; and S3: spreading vaccines among all age groups. Results: Our analysis reveals three key findings. First, administering vaccines to older age groups reduces the number of deaths, while instead targeting younger individuals reduces the number of infections. Second, with approximately 6,000,000 doses available annually, it is recommended that older age groups are prioritized for vaccination, achieving a substantial reduction in the number of deaths compared to a scenario without vaccination. Finally, since case detection (and subsequent isolation) affects transmission, the number of cumulative cases was found to be affected substantially by changes in the reporting rate. Conclusions: In conclusion, vaccination and case detection (facilitated by contact tracing) both play important roles in limiting the impacts of COVID-19. The mathematical modeling approach presented here provides a framework for assessing the effectiveness of different vaccination strategies in scenarios with limited vaccine supply. (c) 2025 The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ⓘ Jang, Geunsoo; Kim, Jihyeon; Thompson, Robin N.; Lee, Hyojung ⓘ Kyungpook Natl Univ, Nonlinear Dynam & Math Applicat Ctr, Daegu 41566, South Korea; Kyungpook Natl Univ, Dept Stat, Daegu 41566, South Korea; Univ Oxford, Math Inst, Oxford OX2 6GG, England ⓘ ⓘ 57471384400; 59189008300; 57051911800; 57196021198 ⓘ hjlee@knu.ac.kr; ⓘ JOURNAL OF INFECTION AND PUBLIC HEALTH ⓘ J INFECT PUBLIC HEAL ⓘ 1876-0341 1876-035X 18 4 SCIE INFECTIOUS DISEASES;PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH ⓘ 2024 4 13.5 0 2025-05-07 ⓘ 1 1 Mathematical modeling; Vaccination; COVID-19; Unreported rate; Age-structured model ⓘ ⓘ Age-structured model; COVID-19; Mathematical modeling; Unreported rate; Vaccination ⓘ Adolescent; Adult; Age Factors; Aged; Aged, 80 and over; Child; Child, Preschool; COVID-19; COVID-19 Vaccines; Humans; Middle Aged; Models, Theoretical; Republic of Korea; SARS-CoV-2; Vaccination; Young Adult; bnt 162b 2; SARS-CoV-2 vaccine; tozinameran; SARS-CoV-2 vaccine; adult; aged; Article; case fatality rate; contact examination; controlled study; coronavirus disease 2019; death toll; effective reproduction number; female; high risk population; human; innate immunity; male; mathematical model; middle aged; nonhuman; population distribution; SARS-CoV-2 Delta; SARS-CoV-2 Omicron; Severe acute respiratory syndrome coronavirus 2; South Korea; vaccination; virus transmission; adolescent; age; child; coronavirus disease 2019; epidemiology; immunology; preschool child; prevention and control; Severe acute respiratory syndrome coronavirus 2; South Korea; theoretical model; vaccination; very elderly; young adult ⓘ English 2025 2025-04 10.1016/j.jiph.2025.102688 ⓘ 바로가기 바로가기 바로가기 바로가기
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