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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 Inundation Map Prediction with Rainfall Return Period and Machine Learning To date, various methods of flood prediction using numerical analysis or machine learning have been studied. However, a methodology for simultaneously predicting the rainfall return period and an inundation map for observed rainfall has not been presented. Simultaneous prediction of the return period and inundation map would be a useful technique for responding to floods in real-time and could provide an expected inundation area by return period. In this study, return period estimation for observed rainfall was performed via PNN (probabilistic neural network). SVR (support vector regression) and a SOM (self-organizing map) were used to predict flood volume and inundation maps. The study area was the Gangnam area, which has experienced extensive urbanization. The database for training SVR and SOM was constructed by one- and two-dimensional flood analysis with consideration of 120 probable rainfall events. The probable rainfall events were composed with 2-100 year return periods and 1-3 hour durations. The SVR technique was used to predict flood volume according to the rainfall return period, and the SOM was used to cluster various expected flood patterns to be used for predicting inundation maps. The prediction results were compared with the simulation results of a two-dimensional flood analysis model. The highest fitness of the predicted flood maps in the study area was calculated at 85.94%. The proposed method was found to constitute a practical methodology that could be helpful in improving urban flood response capabilities. Kim, Hyun Il; Han, Kun Yeun Kyungpook Natl Univ, Dept Civil Engn, 80 Daehak Ro, Daegu 41566, South Korea 57205686299; 7402963477 hyunn228@gmail.com;kshanj@knu.ac.kr; WATER WATER-SUI 2073-4441 12 6 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2020 3.103 39.3 0.61 2025-06-25 7 8 urban flood; data-driven model; machine learning; flood prediction URBAN; RUNOFF; MODEL; SOM Data-driven model; Flood prediction; Machine learning; Urban flood Conformal mapping; Forecasting; Machine learning; Numerical methods; Rain; Self organizing maps; Support vector regression; Analysis models; Flood prediction; Inundation areas; Inundation maps; Probabilistic neural networks; Rainfall event; Rainfall return periods; SOM(self organizing map); database; flood; machine learning; map; prediction; rainfall; return period; two-dimensional modeling; urban area; Floods English 2020 2020-06 10.3390/w12061552 바로가기 바로가기 바로가기 바로가기
Article Kinetic and Prediction Modeling Studies of Organic Pollutants Removal from Municipal Wastewater using Moringa oleifera Biomass as a Coagulant This study investigated the potential of Moringa oleifera (MO) seed biomass as a coagulant for the removal of turbidity, biochemical oxygen demand (BOD), and chemical oxygen demand (COD) of municipal wastewater. Triplicated laboratory experiments using MO coagulant added at varying treatment dosages of 50, 100, 150, 200 mg/L, and a control (0 mg/L) treatment were performed for a settling period of 250 min at room temperature. Kinetics and prediction variables of cumulative turbidity, BOD, and COD removal were estimated using simplified first order and modified Gompertz models. Results showed that the maximum removal of turbidity, BOD, and COD were 94.44%, 68.72%, and 57.61%, respectively, using an MO dose of 150 mg/L. Various kinetic parameters, such as rate constant (r), measured (REm) versus predicted (REp) cumulative removal, and specific pollutant removal rate (mu(m)), were also maximum when an MO dose of 150 mg/L was added, the standard error being below 5%. The developed models were successfully validated over multiple observations. This study suggests low cost and sustainable removal of turbidity, BOD, and COD of municipal wastewater using MO seed biomass as a coagulant. Adelodun, Bashir; Ogunshina, Matthew Segun; Ajibade, Fidelis Odedishemi; Abdulkadir, Taofeeq Sholagberu; Bakare, Hashim Olalekan; Choi, Kyung Sook Kyungpook Natl Univ, Dept Agr Civil Engn, Daegu 41566, South Korea; Univ Ilorin, Dept Agr & Biosyst Engn, PMB 1515, Ilorin 240103, Nigeria; Fed Univ Technol Akure, Dept Civil & Environm Engn, PMB 704, Akure 340001, Nigeria; Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing 100085, Peoples R China; Univ Ilorin, Dept Water Resources & Environm Engn, PMB 1515, Ilorin 240103, Nigeria; Univ Ilorin, Dept Chem Engn, PMB 1515, Ilorin 240103, Nigeria; Kyungpook Natl Univ, Inst Agr Sci & Technol, Daegu 41566, South Korea Abdulkadir, Taofeeq/ABO-3102-2022; Ajibade, Fidelis/D-7893-2019; Ajibade, Fidelis O./D-7893-2019; Adelodun, Bashir/O-2941-2018 57193774482; 57193776808; 57190341647; 57190046501; 57217480405; 54392662900 adelodun.b@unilorin.edu.ng;segunogunshina@gmail.com;foajibade@futa.edu.ng;abdulkadir.ts@unilorin.edu.ng;hashlek2016@gmail.com;ks.choi@knu.ac.kr; WATER WATER-SUI 2073-4441 12 7 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2020 3.103 39.3 2.09 2025-06-25 21 30 kinetic studies; Moringa oleifera; plant seed biomass; prediction modeling; wastewater treatment MECHANISM; PARAMETERS; PODS Kinetic studies; Moringa oleifera; Plant seed biomass; Predictionmodeling; Wastewater treatment Moringa oleifera; Biochemical oxygen demand; Biomass; Coagulation; Kinetics; Organic pollutants; Oxygen; Rate constants; Turbidity; Biochemical oxygen demands (BOD); Laboratory experiments; Modified-Gompertz model; Moringa oleifera biomass; Municipal wastewaters; Pollutant removal; Pollutants removal; Prediction model; biomass; coagulation; numerical model; organic pollutant; pollutant removal; prediction; reaction kinetics; wastewater treatment; Predictive analytics English 2020 2020-07 10.3390/w12072052 바로가기 바로가기 바로가기 바로가기
Article Removal Efficiencies of Manganese and Iron Using Pristine and Phosphoric Acid Pre-Treated Biochars Made from Banana Peels The purpose of this study was to compare the removal efficiencies of manganese (Mn) and iron (Fe) using pristine banana peel biochar (BPB) and phosphoric acid pre-treated biochars (PBPB) derived from banana peels. The removal efficiencies of Mn and Fe were investigated under different adsorbent dosages (0.4-2 g L-1), temperatures (15-45 degrees C), and ionic strengths (0-0.1 M), and were directly correlated to the differences in physicochemical properties of BPB and PBPB, to identify the removal mechanisms of heavy metals by adsorption processes. The removal of Mn by PBPB obeyed the Freundlich isotherm model while the removal of Mn and Fe by BPB followed the Langmuir isotherm model. However, the removal of Fe by PBPB followed both Freundlich and Langmuir isotherm models. The removal efficiencies of Mn and Fe by BPB and PBPB increased with increasing temperatures and decreased with increasing ionic strengths. PBPB more effectively removed Mn and Fe compared to BPB due to its higher content of oxygen-containing functional groups (O/C ratio of PBPB = 0.45; 0/C ratio of BPB = 0.01), higher surface area (PBPB = 27.41 m(2) g(-1); BPB = 11.32 m(2) g(-1)), and slightly greater pore volume (PBPB = 0.03 cm(3) g(-1); BPB = 0.027 cm(3) g(-1)). These observations clearly show that phosphoric acid pre-treatment can improve the physicochemical properties of biochar prepared from banana peels, which is closely related to the removal of heavy metals by adsorption processes. Kim, Hyunjoon; Ko, Ryun-Ah; Lee, Sungyun; Chon, Kangmin Kangwon Natl Univ, Dept Environm Engn, Coll Engn, Kangwondaehak Gil 1, Chuncheon Si 24341, Gangwon Do, South Korea; Kyungpook Natl Univ, Sch Disaster Prevent & Environm Engn, Dept Civil Environm Engn, 2559 Gyeongsang Daero, Sangju Si 37224, Gyeongsangbuk D, South Korea 57216787195; 57216790566; 36438267000; 25960576500 guswns863@naver.com;rh6468@naver.com;sungyunlee@knu.ac.kr;kmchon@kangwon.ac.kr; WATER WATER-SUI 2073-4441 12 4 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2020 3.103 39.3 3.05 2025-06-25 42 50 biochar; manganese; iron; banana peel; adsorption; pre-treatment; phosphoric acid HEAVY-METAL IONS; AQUEOUS-SOLUTIONS; ACTIVATED CARBON; ADSORPTION; CELLULOSE; CADMIUM; ADSORBENTS; MECHANISMS; PYROLYSIS; STRENGTH Adsorption; Banana peel; Biochar; Iron; Manganese; Phosphoric acid; Pre-treatment Adsorption isotherms; Efficiency; Fruits; Heavy metals; Ionic strength; Phosphoric acid; Physicochemical properties; Adsorption process; Freundlich and Langmuir isotherms; Freundlich isotherm model; Increasing temperatures; Langmuir isotherm models; Oxygen-containing functional groups; Removal efficiencies; Removal mechanism; biochar; concentration (composition); fruit; iron; manganese; numerical model; physicochemical property; pollutant removal; Iron English 2020 2020-04 10.3390/w12041173 바로가기 바로가기 바로가기 바로가기
Article Urban Flood Prediction Using Deep Neural Network with Data Augmentation Data-driven models using an artificial neural network (ANN), deep learning (DL) and numerical models are applied in flood analysis of the urban watershed, which has a complex drainage system. In particular, data-driven models using neural networks can quickly present the results and be used for flood forecasting. However, not a lot of data with actual flood history and heavy rainfalls are available, it is difficult to conduct a preliminary analysis of flood in urban areas. In this study, a deep neural network (DNN) was used to predict the total accumulative overflow, and because of the insufficiency of observed rainfall data, 6 h of rainfall were surveyed nationwide in Korea. Statistical characteristics of each rainfall event were used as input data for the DNN. The target value of the DNN was the total accumulative overflow calculated from Storm Water Management Model (SWMM) simulations, and the methodology of data augmentation was applied to increase the input data. The SWMM is one-dimensional model for rainfall-runoff analysis. The data augmentation allowed enrichment of the training data for DNN. The data augmentation was applied ten times for each input combination, and the practicality of the data augmentation was determined by predicting the total accumulative overflow over the testing data and the observed rainfall. The prediction result of DNN was compared with the simulated result obtained using the SWMM model, and it was confirmed that the predictive performance was improved on applying data augmentation. Kim, Hyun Il; Han, Kun Yeun Kyungpook Natl Univ, Dept Civil Engn, 80 Daehak Ro, Daegu 41566, South Korea 57205686299; 7402963477 hyunn228@gmail.com;kshanj@knu.ac.kr; WATER WATER-SUI 2073-4441 12 3 SCIE ENVIRONMENTAL SCIENCES;WATER RESOURCES 2020 3.103 39.3 2.79 2025-06-25 53 56 urban flood; deep neural network; flood prediction; data augmentation Data augmentation; Deep neural network; Flood prediction; Urban flood Korea; Deep learning; Flood control; Floods; Forecasting; Input output programs; Neural networks; Rain; Data augmentation; Flood prediction; One-dimensional model; Predictive performance; Preliminary analysis; Statistical characteristics; Stormwater management model(SWMM); Urban floods; artificial neural network; drainage; flood; learning; numerical model; one-dimensional modeling; performance assessment; rainfall-runoff modeling; stormwater; urban area; Deep neural networks English 2020 2020-03 10.3390/w12030899 바로가기 바로가기 바로가기 바로가기
Article Characterization of virulence genes inEscherichia colistrains isolated from pre-weaned calves in the Republic of Korea Background Escherichia coliis an important cause of diarrhea in calves and its diarrheagenic properties are related to presence of certain virulence genes. In this study, the prevalence of virulence genesF5,F17,F41,sta,stx1,stx2,eae, andsaainE. coliisolated from pre-weaned calves presenting with (n= 329) or without diarrhea (n= 360) was explored using multiplex polymerase chain reaction. We also evaluated the association between detection ofE. coliand the presence of diarrhea. Results Escherichia coliwas detected in 56.3% (388/689) of the fecal samples and showed the highest prevalence (66.5%) in 21-40-day-old calves and the lowest (46.3%) among those that were 1-20 days old. The prevalence of the enterotoxigenicE. coli(ETEC) and Shiga toxin-producingE. coli(STEC) pathotypes was detected in 73.9% and 15.9%, respectively. The results showed no association between diarrhea and the presence ofE. coliin general, ETEC or STEC. TheF17gene was the most frequently detected virulence factor inE. coliof calves of all ages regardless of diarrhea. Interestingly, the results show that the calves aged 41-60 days withF17-positiveE. coliare at a higher risk for production of Shiga toxin (Stx1; 95% confidence intervals: 1.86-31.95; P = 0.005) compared to calves aged 1-20 days; no association between this finding and diarrhea was observed among the calves of this age group. Moreover, the virulence genes associated with the ETEC and STEC strains were not significantly associated with pathogenicity in this study cohort. Conclusions These results suggest that while the incidence ofE. coliis age-related, there was no relationship linkingE. colivirulence genes to calf age and diarrhea. Furthermore, the present study demonstrated that detection ofE. colistrains either with or without virulence factors was not associated with diarrhea in pre-weaned calves. Ryu, Ji-Hyoung; Kim, SuHee; Park, Jinho; Choi, Kyoung-Seong Kyungpook Natl Univ, Dept Anim Sci & Biotechnol, Coll Ecol & Environm Sci, Sangju 37224, South Korea; Gyeongsang Natl Univ Hosp, Jinju 52727, South Korea; Jeonbuk Natl Univ, Coll Vet Med, Iksan 54596, South Korea; Anim & Plant Quarantine Agcy, Foreign Anim Dis Div, Gimcheon 39660, South Korea 57201116268; 36614279700; 8730126700; 7403949556 kschoi3@knu.ac.kr; ACTA VETERINARIA SCANDINAVICA ACTA VET SCAND 0044-605X 1751-0147 62 1 SCIE VETERINARY SCIENCES 2020 1.695 39.4 1.84 2025-06-25 26 24 Diarrhea; ETEC; F17; STEC; Pre-weaned calves; Virulence genes ESCHERICHIA-COLI STRAINS; CALF DIARRHEA; MULTIPLEX PCR; INTIMIN TYPES; PREVALENCE; BOVINE; IDENTIFICATION; ASSOCIATION; INFECTIONS; SEROTYPES Diarrhea; ETEC; F17; Pre-weaned calves; STEC; Virulence genes Animals; Cattle; Cattle Diseases; Diarrhea; Escherichia coli; Escherichia coli Infections; Escherichia coli Proteins; Prevalence; Republic of Korea; Virulence; Virulence Factors; adhesin; fimbria protein; Shiga toxin; virulence factor; Escherichia coli protein; age distribution; Article; bacterial gene; bacterial strain; bacterial virulence; bacterium culture; bacterium detection; bacterium isolation; calf (mammal); diarrhea; eae gene; enterotoxigenic Escherichia coli; Escherichia coli; f17 gene; F41 gene; F5 gene; feces culture; multiplex polymerase chain reaction; nonhuman; prevalence; saa gene; Shiga toxin producing Escherichia coli; South Korea; sta gene; stx1 gene; stx2 gene; animal; bovine; cattle disease; diarrhea; Escherichia coli; Escherichia coli infection; genetics; metabolism; microbiology; pathogenicity; veterinary medicine; virulence English 2020 2020-08-20 10.1186/s13028-020-00543-1 바로가기 바로가기 바로가기 바로가기
Article Enhanced Proton Conductivity of a Zn(II)-Based MOF/Aquivion Composite Membrane for PEMFC Applications The membrane electrode assembly (MEA) is considered as the center of the polymer electrolyte membrane fuel cell (PEMFC); a solid electrolyte membrane is an indispensable component of MEA. For membrane research and development, reducing ohmic resistance while improving mechanical stability is a challenge. Using short-side-chain (SSC) Aquivion perfluorosulfonic acid (PFSA) dispersion and considering the theory of coordination networks, the conductivity of the Aquivion polymer electrolyte membrane is improved by incorporating a highly proton-conductive and economical three-dimensional MOF {[(Me2NH2)(3)(SO4)](2)[Zn-2(ox)(3)]}(n). The proton conductivity of the 1 wt % MOF-1/Aquivion composite membrane was improved by 13% compared to that of the pristine Aquivion membrane, 2 times that of Nafion and 1.5 times that of the MOF-1/Nafion composite. The water uptake and the ion-exchange capacity values are measured to analyze the fundamental properties of the membranes, and physical characterization techniques are also used. Paul, Subir; Choi, Sang-June; Kim, Hee Jin Kyungpook Natl Univ, Dept Architectural, Civil, Environm Engn, Daegu 41566, South Korea ; Kim, Heejin/HII-8568-2022; Paul, Subir/AAQ-9232-2021 57220806184; 56605563600; 57193334513 zammanbo814@knu.ac.kr; ENERGY & FUELS ENERG FUEL 0887-0624 1520-5029 34 8 SCIE ENERGY & FUELS;ENGINEERING, CHEMICAL 2020 3.605 39.5 1.79 2025-06-25 49 47 POLYMER ELECTROLYTE MEMBRANES; METAL-ORGANIC FRAMEWORK; FUEL-CELL; EXCHANGE MEMBRANES; HIGH-PERFORMANCE; SULFONIC-ACID; IONIC LIQUID; NAFION(R); TRANSPORT; NETWORKS Composite membranes; Ion exchange; Ion exchange membranes; Mechanical stability; Membranes; Ohmic contacts; Polyelectrolytes; Proton conductivity; Proton exchange membrane fuel cells (PEMFC); Zinc compounds; Fundamental properties; Ion exchange capacity; Membrane electrode assemblies; Perfluorosulfonic acid; Physical characterization; Polymer electrolyte membranes; Research and development; Solid electrolyte membrane; Solid electrolytes English 2020 2020-08-20 10.1021/acs.energyfuels.0c01703 바로가기 바로가기 바로가기 바로가기
Article Feasibility of rapid piperine quantification in whole and black pepper using near infrared spectroscopy and chemometrics Piperine is a bioactive alkaloid that possesses various health benefits and is responsible for the pungent aroma of pepper. Piperine content in whole and ground black pepper (n= 132) was analyzed by near-infrared spectroscopy (NIRS) in the 950 to 1650 nm wavelength window. Chemometric modeling using partial least square regression was performed, and outliers were checked and removed during the preparation of the calibration curve by considering sample residual variance and sample leverage. Model accuracy was evaluated with a low root-mean-square error of cross-validation (RMSECV) and a high ratio performance to deviation (RPD). The optimal model had a coefficient of determination (R-2) of 0.726, RMSECV of 0.289 g/100 g, and RPD of 1.744 for the whole black pepper. The results ofR(2), RMSECV, and RPD for the ground black pepper were 0.850, 0.231 g/100 g, and 2.424, respectively. Therefore, based on the perspective of onsite process, the proposed NIRS method can be employed for selecting abnormal samples during the inspection of black pepper raw material and for quantifying piperine contents of final black pepper product. Practical Application Generally, the quality indicators of black pepper are graded solely based on their external appearance, quality, and size. This study discloses the development of a near-infrared spectroscopy-based fast and accurate nondestructive analytical method for the detection of piperine, a bioactive constituent of pepper, as a tool for the quality control of whole and ground black pepper. Park, Jong-Rak; Kang, Hyun-Hee; Cho, Jong-Ku; Moon, Kwang-Deog; Kim, Young-Jun Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu 41566, South Korea; Seoul Natl Univ Sci & Technol, Dept Food Sci & Technol, Seoul 01811, South Korea; Nanomarkers Co Ltd, Seongnam 13595, South Korea Kim, Joo/X-7562-2019 57218762401; 57218542184; 57218765299; 55999192900; 57211016047 jongraki@knu.ac.kr;kimyj@seoultech.ac.kr; JOURNAL OF FOOD SCIENCE J FOOD SCI 0022-1147 1750-3841 85 10 SCIE FOOD SCIENCE & TECHNOLOGY 2020 3.167 39.5 0.72 2025-06-25 14 14 black pepper; NIR spectroscopy; nondestructive analysis; piperine; quantification NIR SPECTROSCOPY; REFLECTANCE SPECTROSCOPY; QUALITY; TOOL; L.; ANTIOXIDANT; COMPOUND; SEEDS; GRAIN black pepper; NIR spectroscopy; nondestructive analysis; piperine; quantification Alkaloids; Benzodioxoles; Calibration; Feasibility Studies; Least-Squares Analysis; Piper nigrum; Piperidines; Polyunsaturated Alkamides; Seeds; Spectroscopy, Near-Infrared; 1,3 benzodioxole derivative; alkaloid; amide; piperidine derivative; piperine; black pepper; calibration; chemistry; feasibility study; least square analysis; near infrared spectroscopy; plant seed; procedures English 2020 2020-10 10.1111/1750-3841.15428 바로가기 바로가기 바로가기 바로가기
Article Quality attributes of breads from high-quality cassava flour improved with wet gluten This study investigated the physical, chemical, and sensory attributes of breads produced from preheated high-quality cassava flour (PCF) and its composite with wheat flour (CWF). Wet gluten was added to the PCF and CWF for production of bread, while bread from wheat served as the control. Flour functionality was determined prior to bread production. The moisture contents of the flour samples were in the range of 12.80 to 14.21%, and PCF exhibited water absorption capacity (1.12 mL/g) comparable to that of wheat flour (WF) (1.10 mL/g). There were significant (P< 0.05) differences in color characteristics, except inL*values and breads produced from WF and CWF were similar in specific volume (3.85 to 4.21 mL/g) and firmness (2.04 to 2.64 N). Breads from WF and CWF exhibited similar crumb microstructure, though gas bubbles in the sample from PCF appeared less developed. Wheat bread had significantly (P< 0.05) higher calorie, crude protein and crude fat, but lower crude fiber, ash, and carbohydrate compared to other bread samples. Sensory evaluation showed that bread from PCF was not significantly different from 100% wheat bread in crust color, texture, and overall acceptability but was impaired in flavor. The study revealed the feasibility of bread baking from preheated cassava flour with added gluten extract. The bread produced had some quality attributes comparable to that of wheat bread. Practical Application Bread from wheat-cassava composite flour with added gluten was similar to wheat bread in specific volume and firmness while sample from cassava flour with added gluten compared favorably well with wheat bread in crust color, texture, and overall acceptability. Findings from the study present wheat gluten extract as a viable component to be used in nonwheat flours for bread making. This could be a basis to further add value to the gluten churned out as a by-product in the wheat starch industry. Akintayo, Olaide A.; Oyeyinka, Samson A.; Aziz, Aziz O.; Olawuyi, Ibukunoluwa F.; Kayode, Rowland M. O.; Karim, Olayinka R. Univ Ilorin, Dept Home Econ & Food Sci, Ilorin, Nigeria; Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu, South Korea; Univ South Pacific, Sch Agr & Food Technol, Apia, Samoa KARIM, OLAYINKA/AAV-3860-2020; Oyeyinka, Samson/AAY-8932-2020; Kayode, Rowland/KBQ-6021-2024; Akintayo, Olaide/AAF-6095-2019; Olawuyi, Ibukunoluwa/H-1232-2018 57204181126; 35559435100; 57218206505; 57204471854; 16042818300; 35368505100 akintayo.oa@unilorin.edu.ng; JOURNAL OF FOOD SCIENCE J FOOD SCI 0022-1147 1750-3841 85 8 SCIE FOOD SCIENCE & TECHNOLOGY 2020 3.167 39.5 0.48 2025-06-25 13 14 cassava bread; chemical; gluten; physical; sensory GLYCEMIC INDEX; WHEAT-FLOUR; STARCH; GELATINIZATION; FIBER cassava bread; chemical; gluten; physical; sensory Bread; Chemical Phenomena; Consumer Behavior; Flour; Food Handling; Glutens; Humans; Manihot; Starch; Taste; Triticum; gluten; starch; bread; chemical phenomena; chemistry; consumer attitude; flour; food handling; human; Manihot; procedures; taste; wheat English 2020 2020-08 10.1111/1750-3841.15347 바로가기 바로가기 바로가기 바로가기
Review Recent progress in therapeutic drug delivery systems for treatment of traumatic CNS injuries Most therapeutics for the treatment of traumatic central nervous system injuries, such as traumatic brain injury and spinal cord injury, encounter various obstacles in reaching the target tissue and exerting pharmacological effects, including physiological barriers like the blood-brain barrier and blood-spinal cord barrier, instability rapid elimination from the injured tissue or cerebrospinal fluid and off-target toxicity. For central nervous system delivery, nano- and microdrug delivery systems are regarded as the most suitable and promising carriers. In this review, the pathophysiology and biomarkers of traumatic central nervous system injuries (traumatic brain injury and spinal cord injur) are introduced. Furthermore, various drug delivery systems, novel combinatorial therapies and advanced therapies for the treatment of traumatic brain injury and spinal cord injur are emphasized. Khadka, Bikram; Lee, Jae-Young; Kim, Ki-Taek; Bae, Jong-Sup Mokpo Natl Univ, Coll Pharm, Muan Gun 58554, Jeonnam, South Korea; Mokpo Natl Univ, Nat Med Res Inst, Muan Gun 58554, Jeonnam, South Korea; Chungnam Natl Univ, Coll Pharm, Daejeon 34134, South Korea; Kyungpook Natl Univ, Res Inst Pharmaceut Sci, Plus KNU Multiom Based Creat Drug Res Team BK2, Coll Pharm,CMRI, Daegu 41566, South Korea Bae, Jong-Sup/AAU-9724-2020; Lee, Jae-Yeong/AEP-9607-2022 57219279407; 56195895300; 24488281700; 16021543200 ktkim0628@mokpo.ac.kr;baejs@knu.ac.kr; FUTURE MEDICINAL CHEMISTRY FUTURE MED CHEM 1756-8919 1756-8927 12 19 SCIE CHEMISTRY, MEDICINAL 2020 3.808 39.5 0.27 2025-06-25 12 13 combinatorial therapies; drug delivery systems; local and systemic administration; neuronal regeneration; primary and secondary injuries; spinal cord injury; traumatic brain injury SPINAL-CORD-INJURY; BRAIN-INJURY; BLOOD-BRAIN; FUNCTIONAL RECOVERY; NERVOUS-SYSTEM; PROGNOSTIC BIOMARKERS; CEREBROSPINAL-FLUID; NLRP3 INFLAMMASOME; POLY LACTIDE; NANOPARTICLES combinatorial therapies; drug delivery systems; local and systemic administration; neuronal regeneration; primary and secondary injuries; spinal cord injury; traumatic brain injury Animals; Drug Delivery Systems; Humans; Spinal Cord Injuries; Trauma, Nervous System; antioxidant; biological marker; cryopyrin; cyclosporine; cytokine; dendrimer; erythropoietin; fibroblast growth factor 2; glutathion monoethyl ester; hydrogel; minocycline; nanoparticle; neurohormone; neurotrophin 3; Nogo A antibody; polyamidoamine; polymer; reactive oxygen metabolite; RhoA guanine nucleotide binding protein; rolipram; unclassified drug; blood brain barrier; cell death; cytokine production; drug delivery system; human; nerve fiber regeneration; neurofilament; nonhuman; pathophysiology; priority journal; pyroptosis; remyelinization; Review; spinal cord injury; stem cell; stem cell transplantation; traumatic brain injury; animal; nervous system injury; spinal cord injury English 2020 2020-10 10.4155/fmc-2020-0178 바로가기 바로가기 바로가기 바로가기
Article Solid Waste-Derived Carbon Fibers-Trapped Nickel Oxide Composite Electrode for Energy Storage Application Dumping of solid waste and draining of energy resources have become an escalating global issue by affecting the world's ecology and economy through environmental pollution and fuel crisis. The primary concern of this investigation is to transform solid waste to clean energy conversion and storage material by developing a solid waste-derived carbon/metal oxide composite electrode for supercapacitors. For this purpose, we use infant-urinated waste diapers from the major municipality waste as a nitrogen-doped carbon source to develop a facile and cost-effective electrode material. The presence of urea/uric acid in the urinated diaper can contribute nitrogen atoms to carbon suitable for enhancing the electrical conductivity of the carbon electrode. NiO act as pseudocapacitor material for compensating the shortage of volumetric and gravimetric performance in carbon. The structural and chemical properties of solid waste-derived carbon fibers-trapped nickel oxides (NiO@SW-CFs) were investigated using X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), Raman spectroscopy, Fourier-transform infrared spectroscopy (FTIR), X-ray photoelectron spectrum (XPS), and nitrogen adsorption-desorption isotherms. Electrochemical studies on NiO@SW-CFs were performed using cyclic voltammetry, galvanostatic charge-discharge, and electrochemical impedance spectroscopy. NiO@SW-CFs exhibited a specific capacitance of 356 F g(-1) at a discharge current of 2 A g(-1) with robust cycle stability after 5000 cycles with a current density of 10 A g(-1). The synergic effect of NiO, N, and porous carbon proves NiO@SW-CFs as an excellent candidate for the future high-performance energy conversion and storage systems. This study offers a green approach for the development of environmentally favorable potential carbon electrodes, by converting solid waste to clean energy. Kishore, Somasundaram Chandra; Atchudan, Raji; Edison, Thomas Nesakumar Jebakumar Immanuel; Perumal, Suguna; Alagan, Muthulakshmi; Vinodh, Rajangam; Shanmugam, Mani; Lee, Yong Rok Univ Informat Sci & Technol St Paul Apostle, Fac Informat & Commun Sci, Ohrid 6000, North Macedonia; Yeungnam Univ, Sch Chem Engn, Gyongsan 38541, South Korea; Kyungpook Natl Univ, Dept Appl Chem, Daegu 41566, South Korea; Pusan Natl Univ, Sch Elect & Comp Engn, Busan 46241, South Korea; Inst Aeronaut Engn, Dept Sci & Humanities, Hyderabad 500043, India Lee, Yong Rok/K-6373-2015; RAJI, ATCHUDAN/C-9904-2017; S, C/JLK-9983-2023; Edison, Thomas/N-8909-2015; perumal, suguna/N-9075-2017; Lee, Yong/K-6373-2015; Jebakumar Immanuel Edison, Thomas Nesakumar/N-8909-2015 57220116520; 26648054700; 57210289891; 56673798900; 57219866585; 35727964800; 58474957000; 57330662900 atchudanr@yu.ac.kr;yrlee@yu.ac.kr; ENERGY & FUELS ENERG FUEL 0887-0624 1520-5029 34 11 SCIE ENERGY & FUELS;ENGINEERING, CHEMICAL 2020 3.605 39.5 1.28 2025-06-25 38 85 Cost effectiveness; Cyclic voltammetry; Data storage equipment; Doping (additives); Electric discharges; Electrochemical electrodes; Electrochemical impedance spectroscopy; Energy conversion; Energy resources; Energy storage; Fourier transform infrared spectroscopy; Fuel economy; Gas adsorption; Graphite fibers; High resolution transmission electron microscopy; Nickel metallography; Nitrogen; Photoelectron spectroscopy; Porous materials; Scanning electron microscopy; Solid wastes; Storage (materials); Supercapacitor; Urea; Electrical conductivity; Electrochemical studies; Energy conversion and storages; Energy storage applications; Environmental pollutions; Galvanostatic charge discharges; Nitrogen adsorption desorption isotherms; X ray photoelectron spectra; Nickel oxide English 2020 2020-11-19 10.1021/acs.energyfuels.0c02773 바로가기 바로가기 바로가기 바로가기
Article The Detection of Plant Viruses in Korean Ginseng (Panax ginseng) through RNA Sequencing Korean ginseng (Panax ginseng) is a dicotyledonous, medicinal, perennial plant belonging to the genus Panax of the family Araliaceae. We investigated the occurrence and incidence of plant viruses in Panax ginseng in Korea. A total of 656 leaf samples were combined into one and total RNA was extracted from the polled sample, using RNA sequencing (RNA-Seq), a metatranscriptome analysis of the plant virome was conducted. The virus present in Panax ginseng was confirmed by reverse transcription polymerase chain reaction (RT-PCR) assay using virus-specific primers. In RNA-Seq data analysis, the multiplication protein of four viral contigs including Aristotelia chilensis virus 1 (AcV1), Turnip mosaic virus (TuMV), Watermelon mosaic virus (WMV), and Tobamovirus multiplication protein were discovered. From our metatranscriptome analysis and RT-PCR assay, TuMV and WMV were detected, whereas the three viruses reported in China such as tomato yellow leaf curl China virus; panax notoginseng virus A; and panax virus Y were not found in this study. The distribution of domestic ginseng viruses seems different from that recorded in China. Overall, this is the first plant virome analysis of Panax ginseng in Korea. Lee, Hong-Kyu; Kim, So-Yeon; Yang, Hee-Ji; Lee, Da-Som; Kwon, Boram; Lee, Dong-Yun; Oh, Jonghee; Lee, Su-Heon Kyungpook Natl Univ, Sch Appl Biosci, Daegu 41566, South Korea; Korea Ginseng Corp, R&D Headquarters, Daejeon 34128, South Korea; Kyungpook Natl Univ, Inst Plant Med, Daegu 41566, South Korea 57193319906; 57220129924; 57203136379; 59810944300; 57220129601; 55698936900; 57193313080; 57213176188 jheeoh09@gmail.com;suheon@knu.ac.kr; PLANT PATHOLOGY JOURNAL PLANT PATHOLOGY J 1598-2254 2093-9280 36 6 SCIE AGRICULTURE, MULTIDISCIPLINARY;PLANT SCIENCES 2020 1.795 39.5 0.5 2025-06-25 3 6 Panax ginseng; plant virome; RNA-Seq 1ST REPORT Panax ginseng; Plant virome; RNA-Seq English 2020 2020-12 10.5423/ppj.nt.07.2020.0137 바로가기 바로가기 바로가기 바로가기
Article UV-Curable Polymer-QD Flexible Films as the Downconversion Layer for Improved Performance of Cu(In,Ga)Se2 Solar Cells The downconversion process effectively traps high-energy photons of ultraviolet light and converts them into low-energy photons for utilization in solar cells. In this work, transparent, highly emissive, ultraviolet (UV)-curable nitrogen-functionalized graphene quantum dot-dispersed Norland Optical Adhesive (NOA) nanocomposite (herein denoted as poly-QD film) flexible films were applied as luminescent downconversion (LDC) layers to boost the efficiency of copper indium gallium selenide solar cells. The N-graphene quantum dots (GQDs) were embedded into clear, colorless UV-curable NOA polymer matrices via the "click" reaction of thiol-ene components under UV light at room temperature. The best poly-QD film showed a high emission peak of >500 nm and improved external quantum efficiency in the high-energy solar spectrum, resulting in the highest efficiency of similar to 9.70% (compared to 8.77% for bare cells), which triggered an similar to 10.60% relative performance increment compared to bare copper indium gallium selenide (CIGS) solar cells. Hence, the overall CIGS solar cell performance enhancement caused mainly by J(sc) improvement of similar to 9.06% (relative enhancement) due to efficient trapping of short-wavelength photons. As-prepared poly-QD alms were applied as LDC layers, which significantly boost quantum efficiency in short-wavelength spectra. Nazim, Mohammed; Kim, Byungwoo; Lee, Sangwook; Min, Byoung Koun; Kim, Jae Hyun Korea Inst Sci & Technol, Clean Energy Res Ctr, Seoul 02792, South Korea; Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea; Korea Inst Sci & Technol, Natl Agenda Res Div, Seoul 02792, South Korea; Korea Univ, Green Sch, Seoul 02841, South Korea; Daegu Gyeongbuk Inst Sci & Technol DGIST, Div Energy Technol, Daegu 42988, South Korea ; Lee, Sangwook/O-9166-2015; Nazim, Mohammed/ABA-7408-2020 59857544500; 57194541432; 57203597324; 7202932227; 57192648482 nazimopv@gmail.com;jaehyun@dgist.ac.kr; ENERGY & FUELS ENERG FUEL 0887-0624 1520-5029 34 11 SCIE ENERGY & FUELS;ENGINEERING, CHEMICAL 2020 3.605 39.5 0.64 2025-06-25 13 14 GRAPHENE QUANTUM DOTS; POWER-CONVERSION-EFFICIENCY; LARGE STOKES SHIFT; PHOTON-DOWNCONVERSION; BUFFER LAYERS; CARBON DOTS; THIN-FILMS; FABRICATION; ENHANCEMENT; DYNAMICS Adhesives; Copper compounds; Curing; Gallium compounds; Graphene; Graphene quantum dots; Layered semiconductors; Light; Nanocomposite films; Nanocrystals; Photons; Polymer films; Semiconductor quantum dots; Solar cells; Thin films; External quantum efficiency; Functionalized graphene; High energy photons; Low energy photons; Relative performance; Ultra-violet light; Ultraviolet curable; UV curable polymer; Quantum efficiency English 2020 2020-11-19 10.1021/acs.energyfuels.0c02741 바로가기 바로가기 바로가기 바로가기
Article Comparison of Bone Healing in Open-Wedge High Tibial Osteotomy between the Use of Allograft Bone Chips with Autologous Bone Marrow and the Use of Allograft Bone Chips Alone for Gap Filling The present study aimed to evaluate whether the use of allograft bone chips mixed with autologous bone marrow (BM) in the high tibial osteotomy (HTO) gap could improve the radiological and clinical results of HTO. This study analyzed 36 patients who underwent HTO with locking plate (mean age: 58.0 years). Allograft bone chips mixed with autologous BM aspirated from anterior superior iliac spine were used in 19 patients (group A) and allograft chips only were used in 17 patients (group B). The radiological and clinical results between two groups were compared during examination at 6 weeks, 3 months, 6 months, and 12 months after surgery. Clinical evaluations involving the Hospital for Special Surgery score, Knee Society knee score, and function score were performed at each assessment point. The osteotomy filling and osteoconductivity using the modified van Hemert's score were compared in each period. The clinical results were not different between the groups at all assessment points. Osteotomy filling was higher at 6 weeks and 3 months in group A than in group B ( p = 0.004 and 0.005, respectively). Osteoconductivity was higher at 6 weeks and 3 months in the most medial 1/4 zone in group A than in group B ( p = 0.025 and 0.031, respectively). Our data shows it is beneficial to mix the allograft bone chips mixed with autologous BM after open-wedge HTO. Kim, Hee-June; Seo, Il; Shin, Ji-Yeon; Lee, Kang San; Park, Kyeong-Hyeon; Kyung, Hee-Soo Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Orthopaed Surg, 130 Dongduk Ro, Daegu 41944, South Korea; Kyungpook Natl Univ, Sch Med, Dept Prevent Med, Daegu, South Korea Park, KyeongHyeon/KEH-4919-2024 36463735200; 57192424731; 55567961600; 58967020700; 56969984400; 7004292406 hskyung@knu.ac.kr; JOURNAL OF KNEE SURGERY J KNEE SURG 1538-8506 1938-2480 33 6 SCIE ORTHOPEDICS 2020 2.757 39.6 1.36 2025-06-25 15 15 high tibial osteotomy; autologous bone marrow; bone healing PLATE FIXATION; SITE MORBIDITY; COMPLICATIONS; OSTEOARTHRITIS; ANTERIOR; HARVEST; GRAFTS; UNION autologous bone marrow; bone healing; high tibial osteotomy Adult; Allografts; Bone Marrow Transplantation; Bone Plates; Bone Regeneration; Bone Transplantation; Female; Humans; Ilium; Knee; Knee Joint; Male; Middle Aged; Osteoarthritis, Knee; Osteotomy; Radiography; Tibia; adult; Article; autologous bone marrow transplantation; bone allograft; clinical article; controlled study; female; fracture healing; human; iliac bone; intermethod comparison; knee osteoarthritis; knee radiography; Knee Society Score; male; middle aged; open wedge high tibial osteotomy; plate fixation; postoperative period; preoperative period; retrospective study; surgical technique; therapy effect; tibia osteotomy; weight bearing; allograft; bone marrow transplantation; bone plate; bone regeneration; bone transplantation; comparative study; knee; knee osteoarthritis; osteotomy; radiography; tibia; transplantation English 2020 2020-06 10.1055/s-0039-1681093 바로가기 바로가기 바로가기 바로가기
Article Comparison of machine learning methods for mapping sea farms with high spatial resolution imagery In general, sea farms are classified into two types depending on their locations, seawater depths, and cultivation species: underwater and above water farms. This study compared the machine learning techniques (random forest, a supervised learning technique, and K-means, an unsupervised learning technique) for mapping both underwater and above water farms using the high-resolution satellite image acquired in the sea farming areas of the South Sea of South Korea through the following steps. First, each machine learning algorithm was separately used in the given high-resolution satellite image to generate a sea surface map. Then underwater and above water farms were detected from each sea surface map. Finally, the accuracy of both the underwater and above water farms detected from the different sea surface maps was assessed. The experimental results led to the following conclusions. First, random forest, a supervised learning technique, has better performance than K-means, an unsupervised learning technique, for detecting both underwater and above water farms from the given high-resolution satellite image. Second, only a few misclassification errors occurred in both the underwater and above water farms detected by the random forest algorithm in the given image, with the underwater farms misclassified as having above water features, or vice versa. Choung, Yun-Jae; Jo, Myung-Hee Kyungpook Natl Univ, Global Land Satellite Informat Ctr, Daegu, South Korea; Geo C&I Co Ltd, GIS Res Ctr, Daegu, South Korea; Kyungpook Natl Univ, Sch Convergence & Fus Syst Engn, Dept Satellite Geoinformat Engn, Sangju, South Korea 55349975800; 55348712900 mhjo@knu.ac.kr; INTERNATIONAL JOURNAL OF REMOTE SENSING INT J REMOTE SENS 0143-1161 1366-5901 41 15 SCIE IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY;REMOTE SENSING 2020 3.151 39.7 0.29 2025-06-25 5 5 South Korea; Decision trees; Learning algorithms; Machine learning; Random errors; Satellites; Supervised learning; Surface waters; Unsupervised learning; High resolution satellite images; High spatial resolution imagery; Machine learning methods; Machine learning techniques; Misclassification error; Random forest algorithm; Random forests; Seawater depth; algorithm; aquaculture industry; comparative study; cultivation; error analysis; image classification; image resolution; machine learning; mapping; satellite imagery; sea surface; spatial resolution; Mapping English 2020 2020-08-02 10.1080/01431161.2019.1701214 바로가기 바로가기 바로가기 바로가기
Correction In Vivo Tracking of Chemokine Receptor CXCR4-Engineered Mesenchymal Stem Cell Migration by Optical Molecular Imaging (vol 2017, 8085637, 2017) Kalimuthu, Senthilkumar; Oh, Ji Min; Gangadaran, Prakash; Zhu, Liya; Won Lee, Ho; Rajendran, Ramya Lakshmi; Baek, Se Hwan; Jeon, Yong Hyun; Jeong, Shin Young; Lee, Sang-Woo; Lee, Jaetae; Ahn, Byeong-Cheol Kyungpook Natl Univ Sch Med & Hosp, Dept Nucl Med, Daegu, South Korea Gangadaran, Prakash/AAV-3102-2021; Zhu, Liya/X-9187-2019; Rajendran, Ramya/AAV-6338-2021; lee, sangwoo/KUD-1906-2024; Lee, Jaetae/ABF-3980-2020; Jeon, Yong/N-6910-2019 54794141400; 57190370462; 54393130400; 57190870383; 35337240700; 57195318729; 57194785139; 16042453400; 36164032500; 57196249819; 7601451907; 7202791511 senthilbhus@gmail.com;ojm0366@naver.com;prakash.gangadaran@hotmail.com;402309938@qq.com;howonlee1234@gmail.com;ramyasep9@gmail.com;bsh4498@naver.com;jeon9014@gmail.com;syjeong@knu.ac.kr;swleenm@knu.ac.kr;jaetae@knu.ac.kr;abc2000@knu.ac.kr; STEM CELLS INTERNATIONAL STEM CELLS INT 1687-966X 1687-9678 2020 SCIE CELL & TISSUE ENGINEERING 2020 5.443 39.7 0.87 2025-06-25 1 1 erratum English 2020 2020-11-29 10.1155/2020/8275897 바로가기 바로가기 바로가기 바로가기
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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.