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| WoS | SCOPUS | Document Type | Document Title | Abstract | Authors | Affiliation | ResearcherID (WoS) | AuthorsID (SCOPUS) | Author Email(s) | Journal Name | JCR Abbreviation | ISSN | eISSN | Volume | Issue | WoS Edition | WoS Category | JCR Year | IF | JCR (%) | FWCI | FWCI Update Date | WoS Citation | SCOPUS Citation | Keywords (WoS) | KeywordsPlus (WoS) | Keywords (SCOPUS) | KeywordsPlus (SCOPUS) | Language | Publication Stage | Publication Year | Publication Date | DOI | JCR Link | DOI Link | WOS Link | SCOPUS Link |
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| ○ | ○ | Article | A Query-Based Greedy Approach for Authentic Influencer Discovery in SIoT | The authors propose an informed search greedy approach that efficiently identifies the influencer nodes in the social Internet of Things with the ability to provide legitimate information. Primarily, the proposed approach minimizes the network size and eliminates undesirable connections. For that, the proposed approach ranks each of the nodes and prioritizes them to identify an authentic influencer. Therefore, the proposed approach discards the nodes having a rank (alpha) lesser than 0.5 to reduce the network complexity. alpha is the variable value represents the rank of each node that varies between 0 to 1. Node with the higher value of alpha gets the higher priority and vice versa. The threshold value alpha = 0.5 defined by the authors with respect to their network pruning requirements that can be vary with respect to other research problems. Finally, the algorithm in the proposed approach traverses the trimmed network to identify the authentic node to obtain the desired information. The performance of the proposed method is evaluated in terms of time complexity and accuracy by executing the algorithm on both the original and pruned networks. Experimental results show that the approach identifies authentic influencers on a resultant network in significantly less time than in the original network. Moreover, the accuracy of the proposed approach in identifying the influencer node is significantly higher than that of the original network. Furthermore, the comparison of the proposed approach with the existing approaches demonstrates its efficiency in terms of time consumption and network traversal through the minimum number of hops. | Batool, Farah; Rehman, Abdul; Kim, Dongsun; Abbas, Assad; Nawaz, Raheel; Madni, Tahir Mustafa | COMSATS Univ Islamabad, Islamabad, Pakistan; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Manchester Metropolitan Univ, Dept Operat Technol Events & Hospitality Managemen, Manchester, England | Nawaz, Raheel/AAX-5293-2021; Kim, Dongsun/B-4856-2015; Abbas, Assad/AAZ-3250-2020 | 57195154775; 57200894071; 55742964600; 56349574400; 52164201600; 55851119700 | darkrsw@knu.ac.kr; | CMC-COMPUTERS MATERIALS & CONTINUA | CMC-COMPUT MATER CON | 1546-2218 | 1546-2226 | 74 | 3 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2023 | 2.1 | 58.2 | 0.23 | 2025-06-25 | 2 | 2 | Online social network; influencer search; query-based approach; greedy search; social internet of things (siot) | SMALL WORLD; INTERNET | greedy search; influencer search; Online social network; query-based approach; social internet of things (siot) | Complex networks; Internet of things; Greedy approaches; Greedy search; Influence search; Informed search; Network complexity; Network pruning; Network size; Query-based approach; Social internet of thing; Threshold-value; Social networking (online) | English | 2023 | 2023 | 10.32604/cmc.2023.033832 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Boosted Stacking Ensemble Machine Learning Method for Wafer Map Pattern Classification | Recently, machine learning-based technologies have been developed to automate the classification of wafer map defect patterns during semicon-ductor manufacturing. The existing approaches used in the wafer map pattern classification include directly learning the image through a convolution neural network and applying the ensemble method after extracting image features. This study aims to classify wafer map defects more effectively and derive robust algorithms even for datasets with insufficient defect patterns. First, the number of defects during the actual process may be limited. Therefore, insufficient data are generated using convolutional auto-encoder (CAE), and the expanded data are verified using the evaluation technique of structural similarity index measure (SSIM). After extracting handcrafted features, a boosted stacking ensemble model that integrates the four base-level classifiers with the extreme gradient boosting classifier as a meta-level classifier is designed and built for training the model based on the expanded data for final prediction. Since the proposed algorithm shows better performance than those of existing ensemble classifiers even for insufficient defect patterns, the results of this study will contribute to improving the product quality and yield of the actual semiconductor manufacturing process. | Choi, Jeonghoon; Suh, Dongjun; Otto, Marc-Oliver | Kyungpook Natl Univ, Dept Convergence & Fus Syst Engn, Sangju 37224, South Korea; Ulm Univ Appl Sci, Dept Math Nat & Econ Sci, D-89075 Ulm, Germany | 57965437500; 36613529600; 57217105369 | dongjunsuh@knu.ac.kr; | CMC-COMPUTERS MATERIALS & CONTINUA | CMC-COMPUT MATER CON | 1546-2218 | 1546-2226 | 74 | 2 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2023 | 2.1 | 58.2 | 0.23 | 2025-06-25 | 2 | 2 | Wafer map; pattern classification; machine learning; boosted stacking ensemble; semiconductor manufacturing processing | RADON-TRANSFORM; CONVOLUTIONAL AUTOENCODER; FEATURE-EXTRACTION; NEURAL-NETWORK; DEFECT; RECOGNITION; ALGORITHMS; FOREST | boosted stacking ensemble; machine learning; pattern classification; semiconductor manufacturing processing; Wafer map | Classification (of information); Convolution; Defects; Learning systems; Semiconductor device manufacture; Silicon wafers; Boosted stacking ensemble; Defect patterns; Machine learning methods; Machine-learning; Map patterns; Patterns classification; Semiconductor manufacturing; Semiconductor manufacturing processing; Stackings; Wafer maps; Machine learning | English | 2023 | 2023 | 10.32604/cmc.2023.033417 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Convolutional Neural Network Model for Fire Detection in Real-Time Environment | Disasters such as conflagration, toxic smoke, harmful gas or chemical leakage, and many other catastrophes in the industrial environment caused by hazardous distance from the peril are frequent. The calamities are causing massive fiscal and human life casualties. However, Wireless Sensors Network-based adroit monitoring and early warning of these dangerous incidents will hamper fiscal and social fiasco. The authors have proposed an early fire detection system uses machine and/or deep learning algorithms. The article presents an Intelligent Industrial Monitoring System (IIMS) and introduces an Industrial Smart Social Agent (ISSA) in the Industrial SIoT (ISIoT) paradigm. The proffered ISSA empowers smart surveillance objects to communicate autonomously with other devices. Every Industrial IoT (IIoT) entity gets authorization from the ISSA to interact and work together to improve surveillance in any industrial context. The ISSA uses machine and deep learning algorithms for fire-related incident detection in the industrial environment. The authors have modeled a Convolutional Neural Network (CNN) and compared it with the four existing models named, FireNet, Deep FireNet, Deep FireNet V2, and Efficient Net for identifying the fire. To train our model, we used fire images and smoke sensor datasets. The image dataset contains fire, smoke, and no fire images. For evaluation, the proposed and existing models have been tested on the same. According to the comparative analysis, our CNN model outperforms other state-of-the-art models significantly. | Rehman, Abdul; Kim, Dongsun; Paul, Anand | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea | Paul, Anand/V-6724-2017; Rehman, Abdul/KCZ-1929-2024 | 57200894071; 55742964600; 56650522400 | darkrsw@knu.ac.kr; | CMC-COMPUTERS MATERIALS & CONTINUA | CMC-COMPUT MATER CON | 1546-2218 | 1546-2226 | 77 | 2 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2023 | 2.1 | 58.2 | 0.93 | 2025-06-25 | 8 | 8 | Fire detection; industrial surveillance system; smart devices; smart social agent (SSA); machine learning algorithms; CNN | INDUSTRIAL INTERNET; SMALL WORLD; INFORMATION; ALGORITHM | CNN; Fire detection; industrial surveillance system; machine learning algorithms; smart devices; smart social agent (SSA) | Convolution; Convolutional neural networks; Deep learning; Disasters; Fire detectors; Learning algorithms; Neural network models; Smoke; Wireless sensor networks; Convolutional neural network; Fire detection; Industrial surveillance; Industrial surveillance system; Machine learning algorithms; Neural network model; Smart devices; Smart social agent; Social agents; Surveillance systems; Fires | English | 2023 | 2023 | 10.32604/cmc.2023.036435 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | COVID-19 Outbreak Prediction by Using Machine Learning Algorithms | COVID-19 is a contagious disease and its several variants put under stress in all walks of life and economy as well. Early diagnosis of the virus is a crucial task to prevent the spread of the virus as it is a threat to life in the whole world. However, with the advancement of technology, the Internet of Things (IoT) and social IoT (SIoT), the versatile data produced by smart devices helped a lot in overcoming this lethal disease. Data mining is a technique that could be used for extracting useful information from massive data. In this study, we used five supervised ML strategies for creating a model to analyze and forecast the existence of COVID-19 using the Kaggle dataset" COVID19 Symptoms and Presence." RapidMiner Studio ML software was used to apply the Decision Tree (DT), Random Forest (RF), K-Nearest Neighbors (K-NNs) and Naive Bayes (NB), Integrated Decision Tree (ID3) algorithms. To develop the model, the performance of each model was tested using 10fold cross-validation and compared to major accuracy measures, Cohan's kappa statistics, properly or mistakenly categorized cases and root means square error. The results demonstrate that DT outperforms other methods, with an accuracy of 98.42% and a root mean square error of 0.11. In the future, a devised model will be highly recommendable and supportive for early prediction/diagnosis of disease by providing different data sets. | Sher, Tahir; Rehman, Abdul; Kim, Dongsun | Air Univ, Dept Creat Technol, Islamabad 44230, Pakistan; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | Rehman, Abdul/HIZ-6275-2022; Kim, Dongsun/B-4856-2015; Sher, Tahir/LKN-0410-2024 | 57926504600; 57200894071; 55742964600 | darkrsw@knu.ac.kr; | CMC-COMPUTERS MATERIALS & CONTINUA | CMC-COMPUT MATER CON | 1546-2218 | 1546-2226 | 74 | 1 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2023 | 2.1 | 58.2 | 0.7 | 2025-06-25 | 5 | 6 | COVID-19 prediction; COVID-19 analysis; machine learning; (ML); algorithms; internet of things (IoT); social IoT (SIoT) | SMALL WORLD; INTERNET | algorithms; COVID-19 analysis; COVID-19 prediction; internet of things (IoT); machine learning (ML); social IoT (SIoT) | Data mining; Decision trees; Diagnosis; Error statistics; Forecasting; Internet of things; Learning algorithms; Machine learning; Mean square error; Nearest neighbor search; Viruses; Contagious disease; COVID-19 analyse; COVID-19 prediction; Early diagnosis; Internet of thing; Machine learning; Machine learning algorithms; Machine-learning; Root mean square errors; Social internet of thing; COVID-19 | English | 2023 | 2023 | 10.32604/cmc.2023.032020 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Experimental Evaluation of Bond Strength between Setting Retarder Added Concrete and Normal Concrete | The large size concrete structures are continuously placed with time delay due to practical reasons. The bond strength between old concrete and new concrete is related with a performance of concrete structures. In order to investigate bond strength of slant shear specimens, the specimens (100 x 100 x 300 mm) were fabricated and tested. Two fractions of setting retarder (0% and 1%), surface roughness (none, brushed, and chipping), and curing hours (8, 16, 24, and 72 hours) were considered as variables. Failure modes, compressive strength, and displacement were measured to evaluate the bond strength of specimens. As a result, chipping treatment, which is commonly applied to increase the bond strength between old and new concrete, did not show significant increase of bond strength. The addition of retarder shows that the increased bond strength compared with the chipping treatment. The addition of the retarder in concrete shows sufficient bond strength after the previous placing of 16 hours. Furthermore, the retarder-added specimens with additional brushing treatment of concrete surfaces showed increase of bond strength more than the specimens without brushing. From the test results, it is confirmed that the addition of the retarder can be a new method to increase the bond strength of the concrete surface in continuous placement of concrete. | Son, Jin-Su; Song, Chiwon; Chin, Won-Jong; Kim, Young-Jin; Lee, Jin-Young | Kyungpook Natl Univ, Sch Agr Civil & Bioind Engn, Daegu 41566, South Korea; Korea Inst Civil Engn & Bldg Technol, Struct Engn Res Inst, 283 Goyangdae Ro, Goyang 10223, Gyeonggi Do, South Korea | Kim, Young-jin/GSD-3168-2022 | 57838318100; 56472191400; 23484628000; 55578805600; 57203144661 | sonjs9707@naver.com;schw@kict.re.kr;wjchin@kict.re.kr;yjkim@kict.re.kr;jinyounglee@knu.ac.kr; | ADVANCES IN CIVIL ENGINEERING | ADV CIV ENG | 1687-8086 | 1687-8094 | 2023 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL | 2023 | 1.5 | 58.2 | 0.12 | 2025-06-25 | 1 | 1 | FLY-ASH; DURABILITY; SUBSTRATE; ROUGHNESS | English | 2023 | 2023-03-09 | 10.1155/2023/1597449 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | ○ | Article | Exploiting Data Science for Measuring the Performance of Technology Stocks | The rise or fall of the stock markets directly affects investors' interest and loyalty. Therefore, it is necessary to measure the performance of stocks in the market in advance to prevent our assets from suffering significant losses. In our proposed study, six supervised machine learning (ML) strategies and deep learning (DL) models with long short-term memory (LSTM) of data science was deployed for thorough analysis and measurement of the performance of the technology stocks. Under discussion are Apple Inc. (AAPL), Microsoft Corporation (NVDA), and Avigilon Corporation (AVGO). The datasets were taken from the Yahoo Finance API from 06-052005 to 06-05-2022 (seventeen years) with 4280 samples. As already noted, multiple studies have been performed to resolve this problem using linear regression, support vector machines, deep long short-term memory (LSTM), and many other models. In this research, the Hidden Markov Model (HMM) outperformed other employed machine learning ensembles, tree-based models, the ARIMA (Auto Regressive Integrated Moving Average) model, and long short-term memory with a robust mean accuracy score of 99.98. Other statistical analyses and measurements for machine learning ensemble algorithms, the Long Short-Term Model, and ARIMA were also carried out for further investigation of the performance of advanced models for forecasting time series data. Thus, the proposed research found the best model to be HMM, and LSTM was the second-best model that performed well in all aspects. A developed model will be highly recommended and helpful for early measurement of technology stock performance for investment or withdrawal based on the future stock rise or fall for creating smart environments. | Sher, Tahir; Rehman, Abdul; Kim, Dongsun; Ihsan, Imran | Air Univ, Dept Creat Technol, Islamabad 44230, Pakistan; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | Sher, Tahir/LKN-0410-2024; ihsan, imran/AAZ-6236-2021; Rehman, Abdul/KCZ-1929-2024 | 57926504600; 57200894071; 55742964600; 58648779800 | darkrsw@knu.ac.kr; | CMC-COMPUTERS MATERIALS & CONTINUA | CMC-COMPUT MATER CON | 1546-2218 | 1546-2226 | 76 | 3 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2023 | 2.1 | 58.2 | 0 | 2025-06-25 | 0 | 1 | Machine learning; data science; smart environments; stocks movement; deep learning; stock marketing | PREDICTION; NETWORKS | data science; deep learning; Machine learning; smart environments; stock marketing; stocks movement | Brain; Commerce; Financial markets; Hidden Markov models; Investments; Learning systems; Semiconductor device manufacture; Support vector machines; Time series analysis; Best model; Deep learning; Hidden-Markov models; Machine-learning; Measurements of; Performance; Smart environment; Stock marketing; Stock movement; Supervised machine learning; Long short-term memory | English | 2023 | 2023 | 10.32604/cmc.2023.036553 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Technologies Behind the Smart Grid and Internet of Things: A System Survey | Electric smart grids enable a bidirectional flow of electricity and information among power system assets. For proper monitoring and con-trolling of power quality, reliability, scalability and flexibility, there is a need for an environmentally friendly system that is transparent, sustainable, cost-saving, energy-efficient, agile and secure. This paper provides an overview of the emerging technologies behind smart grids and the internet of things. The dependent variables are identified by analyzing the electricity consumption patterns for optimal utilization and planning preventive maintenance of their legacy assets like power distribution transformers with real-time parameters to ensure an uninterrupted and reliable power supply. In addition, the paper sorts out challenges in the traditional or legacy electricity grid, power generation, transmission, distribution, and revenue management challenges such as reduc-ing aggregate technical and commercial loss by reforming the existing manual or semi-automatic techniques to fully smart or automatic systems. This article represents a concise review of research works in creating components of the smart grid like smart metering infrastructure for postpaid as well as in prepaid mode, internal structure comparison of advanced metering methods in present scenarios, and communication systems. | Sharma, Kuldeep; Malik, Arun; Batra, Isha; Hosen, A. S. M. Sanwar; Sarker, Md Abdul Latif; Han, Dong Seog | Lovely Profess Univ, Dept Comp Sci & Engn, Phagwara, Punjab, India; Woosong Univ, Dept Artificial Intelligence & Big Data, Daejeon 34606, South Korea; Kyungpook Natl Univ, Ctr ICT & Automot Convergence, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea | Hosen, A./U-7176-2019; Sharma, Dr. Kuldeep/AAV-9987-2020; Malik, Arun/ADT-8892-2022; Batra, Isha/ACB-6227-2022; Sharma, Kuldeep/AAV-9987-2020 | 57226311455; 56659576800; 57191273632; 55354658100; 42262729500; 7403219442 | dshan@knu.ac.kr; | CMC-COMPUTERS MATERIALS & CONTINUA | CMC-COMPUT MATER CON | 1546-2218 | 1546-2226 | 75 | 3 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2023 | 2.1 | 58.2 | 0.51 | 2025-06-25 | 5 | 11 | Electricity consumption; bidirectional; advanced meter infrastructure; energy; internet of things; smart grid; smart meter | BLOCKCHAIN; NETWORKS; MACHINE; LOAD; LORA | advanced meter infrastructure; bidirectional; Electricity consumption; energy; internet of things; smart grid; smart meter | Electric measuring instruments; Electric power measurement; Electric power transmission; Electric power utilization; Electric transformers; Energy efficiency; Internet of things; Legacy systems; Power quality; Preventive maintenance; Advanced meter infrastructure; Bi-directional flows; Bidirectional; Electricity-consumption; Energy; Monitoring and controlling; Power flexibility; Power system assets; Smart grid; System survey; Smart power grids | English | 2023 | 2023 | 10.32604/cmc.2023.035638 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Vibration safety evaluation model and sensor network-based monitoring system for coke drums in operation | Repetitive and severe thermal loads and load changes affect not only the physical properties of the coke drum but also its dynamic properties, possibly leading to structural failure. In particular, the operation weight of the drum, which increases up to 10 times or more, affects the dynamic properties of the structure and may threaten safety. Therefore, a vibration safety evaluation model for coke drums in operation is proposed to provide critical feedback on damage accumulation and to evaluate the vibration stability. A monitoring system was also developed to validate the model predictions by measuring the vibration patterns and corresponding modal parameters of the coke drums in operation. The proposed technique was applied to two coke drums in operation, and the vibration safety and factors causing vibration in the target structures were analyzed. The maximum vibration pattern was observed in the target structures at a feeding ratio of 71%. It exceeded the vibration criteria of the vibration safety evaluation model by up to 406%. Moreover, the analysis determined that the rapid increase in operating weight of the coke drums due to the influx of heavy crude oil, and the down-shift in their mode frequency induced superimposition and resonance with the structural mode, causing vibration. | Choi, Jewoo; Kang, Deok Shin; Lee, Min Gyu; Bae, Sang Geun; Hong, Taehoon; Lee, Dong-Eun; Park, Hyo Seon | Yonsei Univ, Dept Architectural Engn, Seoul 03722, South Korea; Technol Res Ctr, HYUNDAI Engn & Construct, Seoul, South Korea; Kyungpook Natl Univ, Sch Architecture Civil Engn Environm & Energy, Daegu, South Korea | Choi, Jewoo/MGT-4857-2025; Hong, Taehoon/E-9169-2012 | 57205453819; 26324043700; 57214536773; 57205453285; 57969349700; 56605563300; 55669886900 | hspark@yonsei.ac.kr; | JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING | J ASIAN ARCHIT BUILD | 1346-7581 | 1347-2852 | 22 | 3 | AHCI;SCIE | ARCHITECTURE;CONSTRUCTION & BUILDING TECHNOLOGY | 2023 | 1.5 | 58.2 | 1.92 | 2025-06-25 | 5 | 7 | Monitoring system; coke drums; vibration measurement; coke drum mode; vibration | IDENTIFICATION; CONSTRUCTION; BRIDGE; WELD | coke drum mode; coke drums; Monitoring system; vibration; vibration measurement | Coke; Crude oil; Failure (mechanical); Fracture mechanics; Modal analysis; Sensor networks; Vibration analysis; Coke drum; Coke drum mode; Dynamics properties; Evaluation models; Evaluation sensors; Monitoring system; Target structure; Vibration; Vibration pattern; Vibration safety evaluations; Monitoring | English | 2023 | 2023-05-04 | 10.1080/13467581.2022.2085719 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Comparison of Gold Biosensor Combined with Light Microscope Imaging System with ELISA for Detecting Salmonella in Chicken after Exposure to Simulated Chilling Condition | In this study, the performance of a gold biosensor combined with light microscope imaging system (GB-LMIS) was comparatively evaluated against enzyme-linked immunosorbent assay (ELISA) for detecting Salmonella under simulated chilling condition. The optimum concentration of anti -Salmonella polyclonal antibodies (pAbs) was determined to be 12.5 and 100 mu g/ml for ELISA and GB-LMIS, respectively. GB-LMIS exhibited a sufficient and competitive specificity toward three tested Salmonella among only. To mimic a real-world situation, chicken was inoculated with Salmonella cocktail and stored under chilling condition for 48 h. The overall growth of Salmonella under chilling condition was significantly lower than that under non-exposure to the chilling condition (p 0.05). Finally, both GB-LMIS and ELISA were employed to detect Salmonella at every 2-h interval. GB-LMIS detected Salmonella with a competitive specificity by the direct observation of bacteria on the sensor using a charge-coupled device camera within a detection time of similar to 2.5 h. GB-LMIS is a feasible, novel, and rapid method for detecting Salmonella in poultry facilities. | Park, Mi-Kyung | Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu 41566, South Korea; Kyungpook Natl Univ, Food & Bioind Inst, Daegu 41566, South Korea | Park, Mi-Kyung/J-9643-2017 | 7404491155 | parkmik@knu.ac.kr; | JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY | J MICROBIOL BIOTECHN | 1017-7825 | 1738-8872 | 33 | 2 | SCIE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY;MICROBIOLOGY | 2023 | 2.5 | 58.3 | 0.34 | 2025-06-25 | 2 | 2 | Salmonella; polyclonal antibody; enzyme-linked immunosorbent assay; gold biosensor; light microscope imaging; chicken | RAPID DETECTION; ANTIMICROBIAL RESISTANCE; PATHOGEN DETECTION; FOOD; POULTRY; PHAGE; TIME; PCR | chicken; enzyme-linked immunosorbent assay; gold biosensor; light microscope imaging; polyclonal antibody; Salmonella | Animals; Biosensing Techniques; Chickens; Enzyme-Linked Immunosorbent Assay; Food Microbiology; Gold; Salmonella; polyclonal antibody; gold; animal experiment; animal tissue; Article; bacterial growth; bacterium adherence; bacterium culture; bacterium detection; brain; colony forming unit; controlled study; enzyme linked immunosorbent assay; Gallus gallus; heart; induced hypothermia; intermethod comparison; nonhuman; Salmonella; simulation; animal; enzyme linked immunosorbent assay; food control; genetic procedures; microbiology; procedures; Salmonella | English | 2023 | 2023-02 | 10.4014/jmb.2212.12011 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Crystal Structure of Mesaconyl-CoA Hydratase from Methylorubrum extorquens CM4 | Methylorubrum extorquens, a facultative methylotroph, assimilates C1 compounds and accumulates poly-beta-hydroxylbutyrate (PHB) as carbon and energy sources. The ethylmalonyl pathway is central to the carbon metabolism of M. extorquens, and is linked with a serine cycle and a PHB biosynthesis pathway. Understanding the ethylmalonyl pathway is vital in utilizing methylotrophs to produce value-added chemicals. In this study, we determined the crystal structure of the mesaconyl-CoA hydratase from M. extorquens (MeMeaC) that catalyzes the reversible conversion of mesaconyl-CoA to beta-methylmalyl-CoA. The crystal structure of MeMeaC revealed that the enzyme belongs to the MaoC-like dehydratase domain superfamily and functions as a trimer. In our current MeMeaC structure, malic acid occupied the substrate binding site, which reveals how MeMeaC recognizes the beta-methylmalyl-moiety of its substrate. The active site of the enzyme was further speculated by comparing its structure with those of other MaoC-like hydratases. | Ahn, Jae -Woo; Hong, Jiyeon; Kim, Kyung-Jin | Pohang Univ Sci & Technol, Postech Biotech Ctr, Pohang 37673, South Korea; Pohang Univ Sci & Technol, Ctr Biomol Capture Technol, Bio Open Innovat Ctr, Pohang 37673, South Korea; Kyungpook Natl Univ, KNU Inst Microorganisms, Sch Life Sci, BK21 FOUR KNU Creat Biores Grp, Daegu 41566, South Korea | Kim, Kyung-Jin/MVY-3405-2025 | 57191577996; 57205354591; 55510867400 | kkim@knu.ac.kr; | JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY | J MICROBIOL BIOTECHN | 1017-7825 | 1738-8872 | 33 | 4 | SCIE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY;MICROBIOLOGY | 2023 | 2.5 | 58.3 | 0.17 | 2025-06-25 | 2 | 1 | Mesaconyl-CoA hydratase; Methylorubrum extorquens; ethylmalonyl pathway; crystal structure | METHYLOBACTERIUM-EXTORQUENS; GLYOXYLATE; BIOSYNTHESIS; FEATURES; METHANOL; GROWTH; CYCLE; PHA; AM1 | crystal structure; ethylmalonyl pathway; Mesaconyl-CoA hydratase; Methylorubrum extorquens | Acyl Coenzyme A; Biosynthetic Pathways; Carbon; hydrolyase; malic acid; mesaconyl CoA hydratase; unclassified drug; acyl coenzyme A; carbon; Article; binding site; catalysis; chemical modification; crystal structure; enzyme active site; enzyme activity; enzyme structure; enzyme substrate complex; Methylorubrum extorquens; methylotrophic bacterium; nonhuman; protein domain; biosynthesis; metabolism | English | 2023 | 2023-04 | 10.4014/jmb.2212.12003 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Crystal Structures of 6-Phosphogluconate Dehydrogenase from Corynebacterium glutamicum | Corynebacterium glutamicum (C. glutamicum) has been considered a very important and meaningful industrial microorganism for the production of amino acids worldwide. To produce amino acids, cells require nicotinamide adenine dinucleotide phosphate (NADPH), which is a biological reducing agent. The pentose phosphate pathway (PPP) can supply NADPH in cells via the 6-phosphogluconate dehydrogenase (6PGD) enzyme, which is an oxidoreductase that converts 6-phosphogluconate (6PG) to ribulose 5-phosphate (Ru5P), to produce NADPH. In this study, we identified the crystal structure of 6PGDₐₚₒ and 6PGDNADP from C. glutamicum ATCC 13032 (Cg6PGD) and reported our biological research based on this structure. We identified the substrate binding site and co-factor binding site of Cg6PGD, which are crucial for understanding this enzyme. Based on the findings of our research, Cg6PGD is expected to be used as a NADPH resource in the food industry and as a drug target in the pharmaceutical industry. | Yu, Hyeonjeong; Hong, Jiyeon; Seok, Jihye; Seu, Young-Bae; Kim, Il-Kwon; Kim, Kyung-Jin | Kyungpook Natl Univ, Sch Life Sci, FOUR KNU Creat BioRes Grp BK21, Daegu 41566, South Korea; Kyungpook Natl Univ, KNU Inst Microorganisms, Daegu 41566, South Korea | Kim, Kyung-Jin/MVY-3405-2025 | 58260376000; 57205354591; 57216545714; 6602236684; 56547774100; 55510867400 | kkim@knu.ac.kr; | JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY | J MICROBIOL BIOTECHN | 1017-7825 | 1738-8872 | 33 | 10 | SCIE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY;MICROBIOLOGY | 2023 | 2.5 | 58.3 | 0 | 2025-06-25 | 1 | 0 | 6-Phosphogluconate dehydrogenase; Corynebacterium glutamicum; crystal structure; 6-phosphogluconate; nicotinamide adenine dinucleotide phosphate | PENTOSE-PHOSPHATE PATHWAY; AMINO-ACIDS; MECHANISM; SEQUENCE; LYSINE; CONSTRUCTION; SPECIFICITY; REFINEMENT; ENZYME | 6-phosphogluconate; 6-Phosphogluconate dehydrogenase; Corynebacterium glutamicum; crystal structure; nicotinamide adenine dinucleotide phosphate | Amino Acids; Corynebacterium glutamicum; NADP; Pentose Phosphate Pathway; Phosphogluconate Dehydrogenase; bacterial DNA; phosphogluconate dehydrogenase; reduced nicotinamide adenine dinucleotide phosphate; amino acid; nicotinamide adenine dinucleotide phosphate; phosphogluconate dehydrogenase; amino acid sequence; Article; binding site; chemical reaction; Corynebacterium glutamicum; crystal structure; crystallography; enzyme analysis; enzyme kinetics; enzyme structure; metabolism; nonhuman; pentose phosphate cycle | English | 2023 | 2023-10 | 10.4014/jmb.2305.05002 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Development of a Magnetic Bead-Based Method for Specific Detection of Enterococcus faecalis Using C-Terminal Domain of ECP3 Phage Endolysin | Bacteriophage endolysins are peptidoglycan hydrolases composed of cell binding domain (CBD) and an enzymatically active domain. A phage endolysin CBD can be used for detecting bacteria owing to its high specificity and sensitivity toward the bacterial cell wall. We aimed to develop a method for detection of Enterococcus faecalis using an endolysin CBD. The gene encoding the CBD of ECP3 phage endolysin was cloned into the Escherichia coli expression vector pET21a. A recombinant protein with a C-terminal 6-His-tag (CBD) was expressed and purified using a His-trap column. CBD was adsorbed onto epoxy magnetic beads (eMBs). The bacterial species specificity and sensitivity of bacterial binding to CBD-eMB complexes were determined using the bacterial colony counting from the magnetic separations after the binding reaction between bacteria and CBD-eMB complexes. E. faecalis could bind to CBD-eMB complexes, but other bacteria (such as Enterococcus faecium, Staphylococcus aureus, Escherichia coli, Acinetobacter baumannii, Streptococcus mutans, and Porphyromonas gingivalis) could not. E. faecalis cells were fixed onto CBD-eMB complexes within 1 h, and >78% of viable E. faecalis cells were recovered. The E. faecalis recovery ratio was not affected by the other bacterial species. The detection limit of the CBD-eMB complex for E. faecalis was >17 CFU/ml. We developed a simple method for the specific detection of E. faecalis using bacteriophage endolysin CBD and MBs. This is the first study to determine that the C-terminal region of ECP3 phage endolysin is a highly specific binding site for E. faecalis among other bacterial species. | Choi, Yoon-Jung; Kim, Shukho; Kim, Jungmin | Kyungpook Natl Univ, Grad Sch, Dept Biomed Sci, Daegu 41944, South Korea; Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu 41944, South Korea | 57220082311; 24341187900; 57211297681 | minkim@knu.ac.kr; | JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY | J MICROBIOL BIOTECHN | 1017-7825 | 1738-8872 | 33 | 7 | SCIE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY;MICROBIOLOGY | 2023 | 2.5 | 58.3 | 0 | 2025-06-25 | 1 | 0 | Detection of bacteria; Enterococcus faecalis; cell binding domain; bacteriophage endolysin; magnetic beads | WALL-BINDING DOMAINS; IDENTIFICATION; INFECTIONS; DIAGNOSIS; SYSTEM | bacteriophage endolysin; Cell binding domain; Detection of bacteria; Enterococcus faecalis; Magnetic beads | Bacteria; Bacteriophages; Endopeptidases; Enterococcus faecalis; Magnetic Phenomena; bacterial enzyme; binding protein; cell binding domain protein; endolysin; unclassified drug; endolysin; proteinase; Acinetobacter baumannii; adsorption; Article; bacteriophage; bacterium detection; binding site; carboxy terminal sequence; coating (procedure); colony forming unit; diagnostic test accuracy study; Enterococcus faecalis; Enterococcus faecium; enzyme binding; Escherichia coli; genetic code; magnetic separation; nonhuman; Porphyromonas gingivalis; product development; protein expression; protein purification; protein structure; sensitivity and specificity; Staphylococcus aureus; Streptococcus mutans; bacteriophage; bacterium; Enterococcus faecalis; genetics; magnetism; metabolism | English | 2023 | 2023-07 | 10.4014/jmb.2302.02033 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Efficacy and safety of Kumpe access catheter for pre-percutaneous nephrolithotomy renal access in modified supine percutaneous nephrolithotomy | IntroductionTraditionally, a pigtail catheter (PCN) is placed for preoperative renal access before performing percutaneous nephrolithotomy (PCNL). However, PCN can hamper the passage of the guidewire to the ureter, due to which, access tract can be lost. Therefore, Kumpe Access Catheter (KMP) has been proposed for preoperative renal access before PCNL. In this study, we analyzed the efficacy and safety of KMP for surgical outcomes in modified supine PCNL compared to those in PCN.Materials and methodsFrom July 2017 to December 2020, 232 patients underwent modified supine PCNL at a single tertiary center, of which 151 patients were enrolled in this study after excluding patients who underwent bilateral surgery, multiple punctures, or combined operations. Enrolled patients were divided into two groups according to the type of pre-PCNL nephrostomy catheter used: PCN versus KMP. A pre-PCNL nephrostomy catheter was selected based on the radiologist's preference. A single surgeon performed all PCNL procedures. Patient characteristics and surgical outcomes, including stone-free rate, operation time, radiation exposure time (RET), and complications, were compared between the two groups.ResultsOf the 151 patients, 53 underwent PCN placement, and 98 underwent KMP placement for pre-PCNL nephrostomy. Patient baseline characteristics were comparable between the two groups, except for the renal stone type and multiplicity. The operation time, stone-free rate, and complication rate were not significantly different between the two groups; however, RET was significantly shorter in the KMP group.ConclusionThe surgical outcomes of KMP placement were comparable to those of PCN and showed shorter RET during modified supine PCNL. Based on our results, we recommend KMP placement for pre-PCNL nephrostomy, particularly for reducing RET during supine PCNL. | Kang, Jun-Koo; Lee, Sang Hee; Kim, Seok-Gi; Kim, Ju-Bin; Lee, Jeong-Yeon; Ha, Seon-Yeon; Ha, Chan-Geun; Hong, Soon-Ho; Chung, Jae-Wook; Ha, Yun-Sok; Lee, Jun Nyung; Chun, So Young; Kim, Bum Soo | Kyungpook Natl Univ Hosp, Dept Urol, 130 Dongdeok Ro, Daegu 41944, South Korea; Kyungpook Natl Univ, Dept Med Sci, Daegu, South Korea; Kyungpook Natl Univ, Sch Med, Dept Urol, Daegu, South Korea; Kyungpook Natl Univ Hosp, Biomed Res Inst, Daegu, South Korea | Kim, Soo-Yeon/ADR-9663-2022; Jeong Yeon, Lee/NFT-1014-2025 | 57979888100; 58314856900; 58315106200; 58315853900; 58315854000; 58314612400; 58315356900; 58315854100; 35204798500; 35487226400; 16301364600; 8688166900; 57202817150 | kangjk0082@naver.com; | BMC UROLOGY | BMC UROL | 1471-2490 | 23 | 1 | SCIE | UROLOGY & NEPHROLOGY | 2023 | 1.7 | 58.3 | 0 | 2025-06-25 | 0 | 0 | Kidney calculi; Nephrolithotomy; Percutaneous; Radiation exposure | PRONE POSITION; LITHOTOMY; SOCIETY | Kidney calculi; Nephrolithotomy; Percutaneous; Radiation exposure | Humans; Kidney; Kidney Calculi; Nephrolithotomy, Percutaneous; Nephrostomy, Percutaneous; Retrospective Studies; Treatment Outcome; Urinary Catheters; adult; Article; blood transfusion; false aneurysm; female; human; major clinical study; male; nephrolithiasis; operation duration; percutaneous nephrolithotomy; postoperative complication; radiation exposure; retrospective study; surgical technique; urinary tract infection; kidney; nephrolithiasis; percutaneous nephrostomy; procedures; treatment outcome | English | 2023 | 2023-06-15 | 10.1186/s12894-023-01227-4 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Review | Ferroptosis-Like Death in Microorganisms: A Novel Programmed Cell Death Following Lipid Peroxidation | Ferroptosis is a new kind of programmed cell death of which occurrence in microorganisms is not clearly verified. The elevated level of reactive oxygen species (ROS) influences cellular metabolisms through highly reactive hydroxyl radical formation under the iron-dependent Fenton reaction. Iron contributes to ROS production and acts as a cofactor for lipoxygenase to catalyze poly unsaturated fatty acid (PUFA) oxidation, exerting oxidative damage in cells. While ferroptosis is known to take place only in mammalian cells, recent studies discovered the possible ferroptosis-like death in few specific microorganisms. Capacity of integrating PUFA into intracellular membrane phospholipid has been considered as a key factor in bacterial or fungal ferroptosis-like death. Vibrio species in bacteria and Saccharomyces cerevisiae in fungi exhibited certain characteristics. Therefore, this review focus on introducing the occurrence of ferroptosis-like death in microorganisms and investigating the mode of action underlying the cells based on contribution of lipid peroxidation and iron-dependent reaction. | Kwun, Min Seok; Lee, Dong Gun | Kyungpook Natl Univ, Sch Life Sci, Coll Nat Sci, BK 21 FOUR KNU Creat BioRes Grp, Daehakro 80, Daegu 41566, South Korea | Lee, Dong-Gun/IWD-9833-2023 | 57212491555; 55668060900 | dglee222@knu.ac.kr; | JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY | J MICROBIOL BIOTECHN | 1017-7825 | 1738-8872 | 33 | 8 | SCIE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY;MICROBIOLOGY | 2023 | 2.5 | 58.3 | 0.61 | 2025-06-25 | 11 | 11 | Ferroptosis-like death; reactive oxygen species; microorganisms; poly unsaturated fatty acid | BACTERIA; IRON; FORM | Ferroptosis-like death; microorganisms; poly unsaturated fatty acid; reactive oxygen species | Animals; Apoptosis; Fatty Acids, Unsaturated; Ferroptosis; Iron; Lipid Peroxidation; Mammals; Reactive Oxygen Species; glutathione; glutathione peroxidase; iron; polyunsaturated fatty acid; reactive oxygen metabolite; iron; reactive oxygen metabolite; unsaturated fatty acid; DNA strand breakage; fatty acid desaturation; ferroptosis; ferroptosis like death; genetic conservation; iron overload; lipid peroxidation; membrane damage; membrane permeability; microorganism; nonhuman; oxidative stress; phospholipid bilayer; regulated cell death; Review; Saccharomyces cerevisiae; Vibrio vulnificus; animal; apoptosis; lipid peroxidation; mammal; metabolism | English | 2023 | 2023-08 | 10.4014/jmb.2307.07002 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Increased Amino Acid Absorption Mediated by Lacticaseibacillus rhamnosus IDCC 3201 in High-Protein Diet-Fed Mice | The use of dietary protein products has increased with interests in health promotion, and demand for sports supplements. Among various protein sources, milk protein is one of the most widely employed, given its economic and nutritional advantages. However, recent studies have revealed that milk protein undergoes fecal excretion without complete hydrolysis in the intestines. To increase protein digestibility, heating and drying were implemented; however, these methods reduce protein quality by causing denaturation, aggregation, and chemical modification of amino acids. In the present study, we observed that Lacticaseibacillus rhamnosus IDCC 3201 actively secretes proteases that hydrolyze milk proteins. Furthermore, we showed that co-administration of milk proteins and L. rhamnosus IDCC 3201 increased the digestibility and plasma concentrations of amino acids in a high-protein diet mouse model. Thus, food supplementation of L. rhamnosus IDCC 3201 can be an alternative strategy to increase the digestibility of proteins. | Kim, Hayoung; Kim, Jungyeon; Lee, Minjee; Jeon, Hyeon Ji; Moon, Jin Seok; Jung, Young Hoon; Yang, Jungwoo | Ildong Biosci, Pyeongtaek 17957, South Korea; Univ Illinois, Carl R Woese Inst Genom Biol, Urbana, IL 61801 USA; Kyungpook Natl Univ, Sch Food Sci & Biotechnol, Daegu 41566, South Korea; Ildong Pharmaceut, Hwaseong 18849, South Korea | Jung, Young/F-1703-2013; Jeon, Hyeon Ji/HPH-4892-2023; Kim, Jinkwon/AAR-6729-2021 | 57451681800; 57214338692; 57221979843; 57795638700; 57203946221; 55550063700; 56076383700 | younghoonjung@knu.ac.kr;yjw@ildong.com; | JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY | J MICROBIOL BIOTECHN | 1017-7825 | 1738-8872 | 33 | 4 | SCIE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY;MICROBIOLOGY | 2023 | 2.5 | 58.3 | 1.2 | 2025-06-25 | 9 | 7 | Probiotics; proteolysis; milk protein; Lacticaseibacillus rhamnosus; high-protein diet | high-protein diet; Lacticaseibacillus rhamnosus; milk protein; Probiotics; proteolysis | Amino Acids; Animals; Diet, High-Protein; Lacticaseibacillus; Lacticaseibacillus rhamnosus; Mice; Milk Proteins; Probiotics; amino acid; milk protein; probiotic agent; proteinase; amino acid; probiotic agent; absorption; amino acid blood level; animal cell; animal experiment; animal model; Article; controlled study; dietary supplement; digestion; Lactobacillus rhamnosus; male; mouse; mouse model; nonhuman; protein degradation; protein diet; protein hydrolysis; protein intake; animal; Lacticaseibacillus | English | 2023 | 2023-04 | 10.4014/jmb.2212.12020 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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