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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 | Maternal, infant, and perinatal mortality statistics and trends in Korea between 2018 and 2020 | Purpose: This study aimed to identify maternal, infant, and perinatal mortality using the national population data of South Korea between 2018 and 2020, and to analyze mortality rates according to characteristics such as age, date of death, and cause of death in each group. This study updates the most recent study using 2009 to 2017 data. Methods: Analyses of maternal, infant, and perinatal mortality were done with data identified through the supplementary investigation system for cases of death from the Census of Population Dynamics data provided by Statistics Korea from 2018 to 2020. Results: Between 2018 and 2020, a total of 99 maternal deaths, 2,427 infant deaths, and 2,408 perinatal deaths were identified from 901,835 live births. The maternal mortality ratio was 11.3 deaths per 100,000 live births in 2018; it decreased to 9.9 in 2019 but increased again to 11.8 in 2020. The maternal mortality ratio increased steeply in women over the age of 40 years. An increasing trend in the maternal mortality ratio was found for complications related to the puerperium and hypertensive disorders. Both infant and perinatal mortality continued to decrease, from 2.8 deaths per 1,000 live births in 2018 to 2.5 in 2020 and from 2.8 in 2018 to 2.5 in 2020, respectively. Conclusion: Overall, the maternal, infant, and perinatal mortality statistics showed improvements. However, more attention should be paid to women over 40 years of age and specific causes of maternal deaths, which should be taken into account in Korea's maternal and child health policies. | Choi, Hyunkyung; Nho, Ju-Hee; Yi, Nari; Park, Sanghee; Kang, Bobae; Jang, Hyunjung | Kyungpook Natl Univ, Coll Nursing, Daegu, South Korea; Kyungpook Natl Univ, Res Inst Nursing Sci, Daegu, South Korea; Jeonbuk Natl Univ, Coll Nursing, Res Inst Nursing Sci, Jeonju, South Korea; Stat Korea, Vital Stat Div, Daejeon, South Korea; Catholic Kkottongnae Univ, Dept Nursing, 133 Sangsam Gil, Cheongju 28211, South Korea | Nho, Ju-Hee/AAT-6962-2021 | 55619940700; 55970409300; 57188991160; 57218675505; 57418672600; 57221038272 | janghj@kkot.ac.kr; | KOREAN JOURNAL OF WOMEN HEALTH NURSING | KOREAN J WOMEN HEALT | 2287-1640 | 2093-7695 | 28 | 4 | ESCI | NURSING | 2022 | 0.6 | 1.33 | 2025-06-25 | 7 | 8 | Cause of death; Infant mortality; Maternal mortality; Perinatal mortality; Republic of Korea | Cause of death; Infant mortality; Maternal mortality; Perinatal mortality; Republic of Korea | English | 2022 | 2022-12 | 10.4069/kjwhn.2022.12.23 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Mathematical Modeling of Real-Time Systems Using Heun and Piecewise Methods | It is often said that mathematical modeling is an implementation of mathematics in real-world problems with the aim of better understanding them, so we can say that mathematical modeling is linked to the solution of problems. Some of the essential principles and procedures of mathematical modeling are discussed using formulas and equations. We investigate the stability and convergence characteristics and demonstrate the suitability of different mathematical methods in a set of numerical examples. The described methods in our paper are the best choices for the simulation of linear phenomena and are more efficient for use with high-order spatial discretization. We emphasized the importance of mathematical modeling technologies used in computational tools. Our study shows that these new methods are more stable with lower errors. | Malik Gul, Urfa; Paul, Anand; Chee, K. -W. -A. | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Coll IT Engn, Sch Elect Engn, Daegu 41566, South Korea | gul, Malik Urfa/ISU-2871-2023; Gul, Malik Urfa/ISU-2871-2023; Paul, Anand/V-6724-2017 | 57870935900; 56650522400; 59969720900 | theurfagul@gmail.com;paul.editor@gmail.com;kwac2@cantab.net; | MATHEMATICAL PROBLEMS IN ENGINEERING | 1024-123X | 1563-5147 | 2022 | 0.18 | 2025-06-25 | 0 | 1 | DIFFERENTIAL-EQUATIONS | Convergence of numerical methods; Interactive computer systems; Best choice; Convergence characteristics; Higher order spatial discretisation; Linear phenomena; Mathematical method; Modeling technology; Piecewise methods; Real - Time system; Real-world problem; Stability and convergence; Real time systems | English | 2022 | 2022-08-21 | 10.1155/2022/4651084 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | ○ | Article | Measurement of intangible assets using higher-order construct model | Purpose Intangible assets (IA) have been described as a multidimensional concept. However, there is a gap in research that considers IAs as a higher-order construct (HOC). Therefore, this paper aims to focus on demonstrating how IAs can be properly specified and measured as HOCs, given IA's four major dimensions in small- and medium-sized enterprises (SMEs). Design/methodology/approach A HOC model is applied using a partial least squares-structural equation modeling (PLS-SEM) repeated-indicator approach. This approach helps validate the argument for considering IAs as HOCs by testing the basic requirements of the construct model. Findings The main finding from testing the model's reliability, validity, multicollinearity and redundancy analysis indicates that the establishment of IAs as a HOC model is valid. Additionally, the simulation study results support the use of the proposed model. Research limitations/implications The proposed model is believed to enhance the proper understanding of IAs and their relationship with organizational outcomes. Additionally, the model can inform organizational management of the integrative approach needed to effectively synchronize their strategic resources for improved performance of entrepreneurially growing SMEs. Originality/value This paper is the first to show the measurement of IAs as HOCs using PLS-SEM, based on IA's updated dimensions. The authors believe that this paper paves the way for future discussion on IA measurement to conduct rigorous impactful studies with larger sample size. | Tefera, Chalachew Almaw; Hunsaker, William D. | Kyungpook Natl Univ, Sch Business Adm, Daegu, South Korea | Hunsaker, William/E-9696-2017 | 57218192527; 55974245100 | chalachewalmaw@gmail.com;hunsaker@knu.ac.kr; | JOURNAL OF ENTREPRENEURSHIP IN EMERGING ECONOMIES | J ENTREP EMERG ECON | 2053-4604 | 2053-4612 | 14 | 2 | ESCI | BUSINESS | 2022 | 3.6 | 0.25 | 2025-06-25 | 4 | 4 | Partial least squares; Competitive advantage; Intangible assets; Small- and medium-sized enterprises; Higher-order construct; IA dimensions | RESOURCE-BASED VIEW; COMPETITIVE ADVANTAGE; DYNAMIC CAPABILITIES; INNOVATIVE PERFORMANCE; CAPITAL DEVELOPMENT; MANAGEMENT; KNOWLEDGE; PLS; ORGANIZATIONS; IMPACT | Competitive advantage; Higher-order construct; IA dimensions; Intangible assets; Partial least squares; Small- and medium-sized enterprises | English | 2022 | 2022-02-16 | 10.1108/jeee-08-2020-0297 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Proceedings Paper | MEASUREMENT OF VIBRATION OCCURRING AT MULTIPLE FREQUENCIES USING TARGET-LESS PHOTOGRAMMETRY AND PHASE-BASED MOTION MAGNIFICATION | For the vibration measurement of a structure, contact-type sensors such as gap sensors are used, however, these sensors can add mass-loading to lightweight structures which can result in negative performance. Furthermore, vibrations in a structure caused by multiple factors need to be detected separately to recognize these factors one by one. To solve these problems, in this study, we introduced a target-less photogrammetric vibration measurement technique that measures the vibration by using subpixel-based edge detection and tracking method. Moreover, this technique separates the vibrations occurring in a structure caused by multiple factors by utilizing the phase-based motion magnification technique together with subpixel-based vibration measurement method applied to a video of vibrating structure. The results generated by the proposed method can be used to identify multiple deformations in a structure. | Javed, Aisha; Park, Jueon; Lee, Hyeongill; Han, Youkyung | Seoul Natl Univ Sci & Technol, Dept Civil Engn, Seoul 01811, South Korea; Kyungpook Natl Univ, Sch Automot Engn, Sangju 37224, South Korea | Javed, Aisha/LQK-3075-2024 | 57215897698; 57218222782; 8261483800; 55457676600 | 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2153-6996 | 0.4 | 2025-06-25 | 1 | 1 | Vibration measurement; target-less photogrammetry; phase-based motion magnification; subpixel-based edge detection; edge tracking | edge tracking; phase-based motion magnification; subpixel-based edge detection; target-less photogrammetry; Vibration measurement | Motion analysis; Pixels; Vibration measurement; Contact type; Edge tracking; Measurements of; Multiple factors; Multiple frequency; Phase based; Phase-based motion magnification; Sub-pixels; Subpixel-based edge detection; Target-less photogrammetry; Photogrammetry | English | 2022 | 2022 | 10.1109/igarss46834.2022.9884636 | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | Conference paper | Measuring single-cell level gene expression stability and variability in healthy and severe COVID-19 patients using Kullback-Leibler divergence | Recent advances in single-cell RNA sequencing (scRNA-seq) technology have enabled the acquisition of RNA at the single-cell level, which showed that the expression level of genes is highly variable across and within the cell types. Even well-known housekeeping genes showed high expression variance in a single condition and within the same cell types. Previous studies made efforts to identify stably expressed genes and use them as a yardstick for robust gene expression normalization. On the other hand, drugs were shown to be less effective on genes with high expression variance. Thus, identifying both stably and variably expressed genes is an important task, especially at the single-cell level. In this study, using the Kullback-Leibler divergence method, we proposed a metric to measure the expression stability of each gene. Using private scRNA-seq data composed of 25 severe COVID-19 patients and 40 healthy individuals, we identified variably expressed genes specific to COVID-19-infected patients and healthy cohorts. © 2022 IEEE. | Hwang, Inseung; Jang, Jaeyeon; Kim, Kwangsoo; Jo, Hye-Yeong; Kim, Sang Cheol; Jung, Inuk | Kyungpook National University, School of Computer Science and Engineering, Daegu, South Korea; Kyungpook National University, School of Computer Science and Engineering, Daegu, South Korea; Seoul National University Hospital, Transdisciplinary Department of Medicine and Advanced Technology, Seoul, South Korea; Korea National Institute of Health, Korea Disease Control and Prevention Agency, Division of Healthcare and Artificial Intelligence, Department of Precision Medicine, Cheongju, South Korea; Korea National Institute of Health, Korea Disease Control and Prevention Agency, Division of Healthcare and Artificial Intelligence, Department of Precision Medicine, Cheongju, South Korea; Kyungpook National University, School of Computer Science and Engineering, Daegu, South Korea | 57392306000; 57392305900; 57210575084; 57158666600; 55989489800; 56067575500 | his0405@knu.ac.kr; | Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 | 0 | 2025-06-25 | 0 | COVID-19; Gene expression stability; Single-cell | Bioinformatics; Cytology; Gene expression; RNA; Technology transfer; Cell types; Condition; Expressed genes; Expression levels; Gene expression stability; Genes expression; Housekeeping gene; Kullback Leibler divergence; Single cells; Single-cell level; COVID-19 | English | Final | 2022 | 10.1109/bibm55620.2022.9995123 | 바로가기 | 바로가기 | ||||||||||||||||||
| ○ | ○ | Article | Mechanical Properties of Banyan Fiber-Reinforced Sawdust Nanofiller Particulate Hybrid Polymer Composite | The utilization of renewable raw materials, such as natural fiber composites, can be prioritized in the building industry as it transitions to a bioeconomy. The sustainable product can improve environmental protection; therefore, the present work is stated with the natural fibers of chopped banyan fiber reinforced with sawdust nanocellulose epoxy-based composite fabricated by hand layup process. To identify the mechanical effects of tensile strength, flexural strength, impact strength, and hardness value for five different weight ratios of chopped banyan fibers and sawdust nanofiller materials, the composite weight ratio was made with 60% of matrix phase that was fixed for all five samples and 40% of reinforcement phase in which the fibers and filler percentage can vary for five samples. The results are revealed sample E (50 g of banyan, 25 g of saw dust, 110 g of epoxy, and 185 g of laminate) given a more tensile strength of 39 MPa and a flexural strength of 34 MPa, and sample A was given a high impact energy absorption capacity of 18 Joule compared with other samples of hybrid composite; and also, the SEM morphological was used to identify the surface interaction and failure mode of this composite laminates. | Raja, T.; Vinayagam, Mohanavel; Thanakodi, Sathish; Seikh, A. H.; Siddique, M. H.; Subbiah, Ram; Gebrekidan, Atkilt Mulu | Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci &, Dept Mech Engn, Chennai 600062, Tamil Nadu, India; Bharath Inst Higher Educ & Res, Ctr Mat Engn & Regenerat Med, Chennai 600073, Tamil Nadu, India; Chandigarh Univ, Dept Mech Engn, Mohali 140413, Punjab, India; SIMATS, Saveetha Sch Engn, Dept Mech Engn, Chennai 602105, Tamil Nadu, India; King Saud Univ, Coll Engn, Mech Engn Dept, POB 800, Riyadh 11421, Saudi Arabia; Kyungpook Natl Univ, Intelligent Construct Automat Ctr, Daegu, South Korea; Gokaraju Rangaraju Inst Engn & Tec, Dept Mech Engn, Hyderabad 500090, Telangana, India; Arba Minch Univ, Arba Minch Inst Technol AMIT, Fac Mech Engn, Arba Minch, Ethiopia | ; Sathish, T/T-1968-2019; SUBBIAH, RAM/AAS-9558-2021; Raja, Dr/AAY-4181-2021; V, Mohanavel/AAA-1115-2020; Thandavamoorthy, Raja/AAY-4181-2021; SEIKH, ASIFUL/ABA-2071-2021 | 57207486901; 57226542171; 57881606100; 55946471600; 57188589477; 56964850200; 57457700900 | atkilt.mulu@amu.edu.et; | JOURNAL OF NANOMATERIALS | 1687-4110 | 1687-4129 | 2022 | 0.81 | 2025-06-25 | 6 | 12 | Bending strength; Construction industry; Hybrid composites; Impact strength; Laminated composites; Natural fibers; Reinforcement; Sustainable development; Building industry; Fibre-reinforced; Hybrid polymer composite; Nano-cellulose; Nanofiller; Natural fiber composites; Particulates; Renewable raw materials; Sustainable products; Weight ratios; Tensile strength | English | 2022 | 2022-08-16 | 10.1155/2022/9475468 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | Article | Mediating effect of resilience between post-traumatic stress and emotional exhaustion in nurses during the COVID-19 pandemic; [COVID-19 유행시기에 병원간호사의 외상후스트레스와 정서적소진의 관계에서 회복탄력성의 매개효과*] | Purpose: This study explored the mediating role of resilience between post-traumatic stress and emotional exhaustion in nurses during the COVID-19 pandemic. Methods: The data were collected from 193 nurses working at a hospital in Daegu from October 16 to 30, 2020, in the middle of the COVID-19 pandemic. Participants conducted self-reported surveys of post-traumatic stress (Impact of Event Scale-Revised Korean version), emotional exhaustion (Maslach Burnout Inventory), and resilience (Korean Resilience Quotient Test). The data were analyzed using descriptive statistics, frequency, t-tests, Mann-Whitney U tests, Kruskal-Wallis tests, Pearson correlation coefficients, and multiple regression. Mediation analysis was performed using the Baron and Kenny method and Sobel test. Results: The mean scores for post-traumatic stress, resilience, and emotional exhaustion were 16.18±16.18, 183.41±18.29, and 32.64±9.66, respectively. A higher level of post-traumatic stress was associated with lower resilience (r=-.20, p=.004) and with higher emotional exhaustion (r=.33, p<.001). A higher level of resilience was associated with lower emotional exhaustion (r=-.35, p<.001). The resilience was confirmed to have a partial mediating effect in the relationship between post-traumatic stress and emotional exhaustion, verified by the Sobel test (Z=2.31, p=.02). Conclusion: Resilience had a partial mediating effect in the relationship between post-traumatic stress and emotional exhaustion. Thus, nurses should develop individual strengths to reduce emotional exhaustion, and managers should also make efforts to increase the nurses’ resilience. It is also necessary to develop and apply a program to strengthen nurses’ resilience. Copyright © 2022 Korean Academic Society of Nursing Education. | Jeong, Juhee; Song, Yeoungsuk | Kyungpook National University Hospital, South Korea; Kyungpook National University, South Korea | 57901590200; 55494171100 | asansong@knu.ac.kr; | Journal of Korean Academic Society of Nursing Education | 1225-9578 | 28 | 2 | 0.73 | 2025-06-25 | 4 | Burnout; COVID-19; Nurses; Post-traumatic stress disorder; Psychological resilience | Korean | Final | 2022 | 10.5977/jkasne.2022.28.2.193 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Medication recommender system for healthcare solutions | An ever-increasing number of individuals hear about the well-being and clinical determination issues. Nonetheless, as indicated by the organization's report, over 200 thousand individuals in China, even 100 thousand in the USA, bite the dust every year due to prescription mistakes. Specialists makeovers 42% of medicine mistakes since they compose the remedy as indicated by their very restricted encounters. Advancements such as information mining and recommender innovations provide prospects to investigate likely information from determination history records and assist specialists with endorsing drugs accurately to diminish prescription mistakes adequately. This paper plans and actualizes a general medication recommender system that applies information mining to suggest a better prescription to hospitalized patients. Our medication recommender system consists of constructing feature modules, data splitting modules, count vectorizers, and sentiment classification modules. The classifiers such as logistic regression, Naive Bayes, and random forest are used for the model evaluation. Our classification results show that the random forest-based medication recommender system has the highest prediction results than other classifiers. The random forest-based medication recommender system achieved 86.6% accuracy on the UCI ML Drug Review dataset. | Poulose, Alwin; Valappil, Anusha Palli; Sebastian, Josy | Kyungpook Natl Univ, Ctr ICT & Automot Convergence, Daegu, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea | POULOSE, ALWIN/S-4914-2018; , ALWIN POULOSE/S-4914-2018 | alwinpoulosepalatty@knu.ac.kr;anushamubeen09@gmail.com;josy.sebastian2110@gmail.com; | JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES | J INFORM OPTIM SCI | 0252-2667 | 2169-0103 | 43 | 5 | ESCI | INFORMATION SCIENCE & LIBRARY SCIENCE | 2022 | 1.4 | 5 | Deep neural network (DNN); Count nectorizer; Artificial intelligence (AI); Sentiment analysis; Recommender systems | English | 2022 | 2022-07-04 | 10.1080/02522667.2022.2094545 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Editorial | Message from the General Chairs and Program Chairs | [No abstract available] | Washizaki, Hironori; Kobayashi, Takashi; Higo, Yoshiki; Choi, Yunja | Waseda University, National Institute of Informatics, System Information EXmotion, Japan; Tokyo Institute of Technology, Japan; Osaka University, Japan; Kyungpook National University, South Korea | 8905784000; 58124376500; 7004831134; 54972885300 | Proceedings - Asia-Pacific Software Engineering Conference, APSEC | 1530-1362 | 2022-December | 0 | 2025-06-25 | 0 | English | Final | 2022 | 10.1109/apsec57359.2022.00005 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | ○ | Review | Metrics Space and Norm: Taxonomy to Distance Metrics | A lot of machine learning algorithms, including clustering methods such as K-nearest neighbor (KNN), highly depend on the distance metrics to understand the data pattern well and to make the right decision based on the data. In recent years, studies show that distance metrics can significantly improve the performance of the machine learning or deep learning model in clustering, classification, data recovery tasks, etc. In this article, we provide a survey on widely used distance metrics and the challenges associated with this field. The most current studies conducted in this area are commonly influenced by Siamese and triplet networks utilized to make associations between samples while employing mutual weights in deep metric learning (DML). They are successful because of their ability to recognize the relationships among samples that show a similarity. Furthermore, the sampling strategy, suitable distance metric, and network structure are complex and difficult factors for researchers to improve network model performance. So, this article is significant because it is the most recent detailed survey in which these components are comprehensively examined and valued as a whole, evidenced by assessing the numerical findings of the techniques. | Subramanian, Barathi; Paul, Anand; Kim, Jeonghong; Chee, K. -W. -A. | Kyungpook Natl Univ, Daegu, South Korea | Subramanian, Barathi/HLP-9548-2023; Paul, Anand/V-6724-2017 | 57221053219; 56650522400; 55138548100; 57524559900 | achu_samriti@yahoo.com;paul.editor@gmail.com;jhk@knu.ac.kr;aghjuee@knu.ac.kr; | SCIENTIFIC PROGRAMMING | 1058-9244 | 1875-919X | 2022 | 0.12 | 2025-06-25 | 2 | 4 | DEEP; NETWORKS | Clustering algorithms; Deep learning; Learning algorithms; Learning systems; Nearest neighbor search; Clustering methods; Data patterns; Decision-based; Distance metrics; Learning models; Machine learning algorithms; Machine-learning; Metric spaces; Nearest-neighbour; Performance; Surveys | English | 2022 | 2022-10-06 | 10.1155/2022/1911345 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Review | Microbe-derived antimicrobial red pigments for color formation and microbial growth control in sausage: A mini-review | Sausage is a popular processed meat product and its consumption has significantly increased over the past 20 years. Sodium nitrite is used to impart a distinct red color and cured flavor to sausage during its production. Moreover, sodium nitrite inhibits lipid oxidation and growth of pathogenic microorganisms in sausage. Despite these advantages, it is advisable to replace and reduce sodium nitrite use since sausages with sodium nitrite are classified as a Group 1 carcinogen. The replacement additives should not only impart red color but also control microbial growth because sausage color is an important factor in its marketing and the control of initial microbial concentration during sausage production process is critical for its safety, distribution, and storage. However, only few sodium nitrite alternatives can impart color while inhibiting microorganism growth. To address this issue, use of natural red pigments with antimicrobial activity is being considered. Interest in natural functional pigments, in particular, microbial pigments with physiological activities, has spiked due to their various advantages, such as sustainable supply in large amounts, high yield, and easy down-streaming processing, over those extracted from plants or insects. This review highlights the characteristics of microbe-derived antimicrobial red pigments and their potential application as alternatives to sodium nitrite in sausage processing. Copyright © 2022 The Korean Society of Food Preservation. | Choe, Deokyeong | School of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kyungpook National University, Daegu, 41566, South Korea | 37074453400 | cd02da@knu.ac.kr; | Korean Journal of Food Preservation | 1738-7248 | 29 | 6 | 0.03 | 2025-06-25 | 1 | antimicrobial activity; microbial pigment; red color; sausage; sodium nitrite | English | Final | 2022 | 10.11002/kjfp.2022.29.6.837 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Book chapter | Microbes incorporated nanomaterials for water purification | Microorganisms such as fungi, algae, and bacteria are naturally present in water and their presence at higher concentrations makes the water contaminated. Furthermore, the scarcity of water is rising day-by-day, and thereby millions of people are affected worldwide. Therefore there is an urgency to develop alternative technologies that can purify water without having any adverse health impacts on humans. Nanotechnology is advancing and currently becoming a better option than conventional technologies to be used for water treatment. Nanomaterials like, silver nanoparticles, carbon nanotubes, graphene oxides, etc., have drawn much attention in recent times. Microorganisms are considered as emerging green nanofactories. The microorganisms are environmentally-safe, therefore numerous studies are ongoing on the nanoparticle generation. The microorganisms are a boon for nanotechnological investigations. © 2022 Elsevier Inc. All rights reserved. | Bora, Abhispa; Mohanrasu, K.; Swetha, T. Angelin; Ananthi, V.; Kumar, P.; Govarthanan, Muthusamy; Arun, A. | Bioenergy and Bioremediation Laboratory, Department of Microbiology, Alagappa University, Tamil Nadu, Karaikudi, India; Bioenergy and Bioremediation Laboratory, Department of Microbiology, Alagappa University, Tamil Nadu, Karaikudi, India; Bioenergy and Bioremediation Laboratory, Department of Microbiology, Alagappa University, Tamil Nadu, Karaikudi, India; Department of Molecular Biology, Madurai Kamaraj University, Tamil Nadu, Madurai, India; Department of Animal Health and Management, Alagappa University, Tamil Nadu, Karaikudi, India; Department of Environmental Engineering, Kyungpook National University, Gyeongbuk Province, Daegu Campus, South Korea; Bioenergy and Bioremediation Laboratory, Department of Microbiology, Alagappa University, Tamil Nadu, Karaikudi, India | 57210557182; 57202300780; 57831801800; 57078968600; 55173720800; 54881927600; 57078221100 | Handbook of Microbial Nanotechnology | 0.96 | 2025-06-25 | 2 | carbon nanotubes; graphene oxides; nanofactories; nanoparticles; Nanotechnology | English | Final | 2022 | 10.1016/b978-0-12-823426-6.00001-2 | 바로가기 | 바로가기 | ||||||||||||||||||||
| ○ | Book chapter | Microbial Enzymes and Their Mechanisms in the Bioremediation of Pollutants | Bioremediation is the process, with the help of microbes or their enzymes, to remove the pollutants present in the environment and change them into non-toxic compounds. Microbial enzymes have a wide range of metabolic activities and are involved in the transformation of pollutants. Enzymes like oxidoreductase, hydrolases, monooxygenase, dioxygenase, methyltransferases, and lipases are involved in the degradation process. Oxidoreductase catalyzes the transfer of electron and proton from the reduced organic substrate to another chemical compound from donor to acceptor. Monooxygenase and dioxygenases are the transferring oxygen from molecular oxygen (O2) utilizing FAD/NADH/NADPH as a co-substrate in this process. Lyases catalyze the cleavage of the bonds by elimination, leaving double bonds. Peroxidases catalyze the oxidation of lignin and other phenolic compounds at the expense of hydrogen peroxide (H2O2) in the presence of a mediator. Lipases also involve catalyzing the hydrolysis of triacylglycerols to glycerol and free fatty acids. © 2022, IGI Global. | Rajamanickam, Karthika; Balakrishnan, Jayanthi; Thangaswamy, Selvankumar; Muthusamy, Govarthanan | Mahendra Arts and Science College Autonmous, India; Mahendra Arts and Science College Autonmous, India; Mahendra Arts and Science College Autonmous, India; Kyungpook National University, South Korea | 57654151200; 57653596300; 24485017700; 54881927600 | Research Anthology on Emerging Techniques in Environmental Remediation | 0 | 2025-06-25 | 0 | English | Final | 2022 | 10.4018/978-1-6684-3714-8.ch005 | 바로가기 | 바로가기 | |||||||||||||||||||||
| ○ | Book chapter | Microbial impact on climate-smart agricultural practices | Microbes play a fundamental role in the subsistence of all ecosystem processes. As a result, soil microorganisms are integral parts of several biogeochemical cycles and agroecosystem resilience functions against organic matter degradation, soil nutrient deficiency, and reducing greenhouse gas (GHG) emissions. In recent years, studies have shown that agriculture and associated land-use change remains a major source of biogenic GHGs, such as carbon dioxide (CO2), methane, and nitrous oxide. In this study, we provided a systematic selection of novel experimental studies to highlight the impact of climate change consequences such as elevated CO2, temperature, and drought on microbial functions in different agroecosystems. The role of microbes in climate-smart agriculture management strategies to influence crop yield, soil carbon sequestration, GHG mitigation, and climate change adaptation was expounded. © 2022 Elsevier Inc. | Ajala, Oluwaseyi A.; Ajibade, Fidelis O.; Oluwadipe, Oluwafisayo R.; Nwogwu, Nathaniel A.; Adelodun, Bashir; Guadie, Awoke; Ajibade, Temitope F.; Lasisi, Kayode H.; Adewumi, James R. | Department of Zoology and Environmental Sciences, Punjabi University, Patiala, India, Department of Chemistry, University of Ibadan, Ibadan, Nigeria; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences, Beijing, China; Department of Microbiology, Saurashtra University, Rajkot, India; Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences, Beijing, China, Department of Agricultural and Bioresources Engineering, Federal University of Technology, Owerri, Nigeria; Department of Agricultural and Biosystems Engineering, University of Ilorin, Ilorin, Nigeria, Department of Agricultural Civil Engineering, Kyungpook National University, Daegu, South Korea; Department of Zoology and Environmental Sciences, Punjabi University, Patiala, India, Department of Biology, College of Natural Sciences, Arba Minch University, Arba Minch, Ethiopia; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, University of Chinese Academy of Sciences, Beijing, China, Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria, University of Chinese Academy of Sciences, Beijing, China, Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China; Department of Civil and Environmental Engineering, Federal University of Technology, Akure, Nigeria | 57224524356; 57190341647; 57679524400; 57218171559; 57193774482; 55878530000; 57208594522; 57208598946; 26031266400 | Microbiome Under Changing Climate: Implications and Solutions | 9.47 | 2025-06-25 | 13 | Climate change adaptation; Climate-smart agriculture; Greenhouse gas; Soil microbes | English | Final | 2022 | 10.1016/b978-0-323-90571-8.00009-2 | 바로가기 | 바로가기 | ||||||||||||||||||||
| ○ | ○ | Article; Data Paper | Microbiome dataset of spontaneously fermented Ethiopian honey wine, Tej | This dataset contains raw and analyzed microbial data for the samples of spontaneously fermented Ethiopian honey wine, Tej, collected from three locations of Ethiopia. It was generated using culture independent amplicon sequencing technique. To gain a better understanding of microbial community variance and similarity across Tej samples from the same and different locations, the raw sequenced data obtained from the Illumina Miseq sequencer was subjected to a bioin-formatics analysis. Lower diversity and richness of both bacterial and fungal communities were observed for all of the Tej samples. Besides, samples collected from Debre Markos area showed a significant discriminating tax for both bacterial and fungal communities. In nutshell, this amplicon sequencing dataset provides a useful collection of data for modernizing this spontaneous fermentation into a directed inoculated fermentation. Detail discussion on microbiome of Tej samples is given in [1]. (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) | Fentie, Eskindir Getachew; Jeong, Minsoo; Emire, Shimelis Admassu; Demsash, Hundessa Dessalegn; Kim, Min A.; Jeon, Hwang-Ju; Lee, Sung-Eun; Tagele, Setu Bazie; Park, Yeong-Jun; Shin, Jae-Ho | Addis Ababa Sci & Technol Univ, Coll Biol & Chem Engn, Addis Ababa 16417, Ethiopia; Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Addis Ababa Univ, Addis Ababa Inst Technol, Sch Chem & Bioengn, POB 385,King George VI St, Addis Ababa 16417, Ethiopia; Natl Inst Korean Med Dev, Daegu 38540, South Korea | Fentie, Eskindir/LIG-6089-2024; shin, Jaeho/K-6792-2013; Tagele, Setu Bazie/IYJ-1959-2023; Jeon, Hwangju/JDW-9035-2023; Kim, Jwa/AAH-9915-2021 | 57245844200; 57292954900; 36189913000; 57192308986; 56123031300; 56328792200; 55890041600; 57202007103; 56275800900; 57224125922 | jhshin@knu.ac.kr; | DATA IN BRIEF | DATA BRIEF | 2352-3409 | 42 | ESCI | MULTIDISCIPLINARY SCIENCES | 2022 | 1.2 | 0.68 | 2025-06-25 | 2 | 3 | Alpha diversity; Beta diversity; Tej; Linear discriminated analysis | Alpha diversity; Beta diversity; Linear discriminated analysis; Tej | English | 2022 | 2022-06 | 10.1016/j.dib.2022.108022 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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