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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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| ○ | ○ | Editorial Material | Broken Iliac Branch Device Indwelling Catheter Tip | Yun, Woo-Sung | Kyungpook Natl Univ, Div Vasc & Endovasc Surg, Dept Surg, Kyungpook Natl Univ Hosp,Sch Med, 130 Dongdeok Ro, Daegu 41944, South Korea | 35070717000 | wsyun@me.com; | EUROPEAN JOURNAL OF VASCULAR AND ENDOVASCULAR SURGERY | EUR J VASC ENDOVASC | 1078-5884 | 1532-2165 | 63 | 6 | SCIE | PERIPHERAL VASCULAR DISEASE;SURGERY | 2022 | 5.7 | 6.3 | 0 | 2025-06-25 | 0 | 0 | Catheters, Indwelling; Device Removal; Equipment Failure; Humans; aged; arterial embolization; Article; case report; catheter complication; catheter removal; catheter tip fracture; clinical article; common iliac artery; human; iliac artery aneurysm; iliac bone; inguinal region; internal iliac artery; male; adverse device effect; device failure; device removal; indwelling catheter | English | 2022 | 2022-06 | 10.1016/j.ejvs.2022.04.019 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||||
| ○ | ○ | Article | Assessing shoring strategies based on efficiency | With globalization, companies are increasingly employing offshoring strategies or establishing subsidiaries with external partners in foreign countries. However, many companies have difficulty strategizing because of increasing complexity of corporate activity and environmental uncertainty. On the supply side, it implies that it is difficult to assess a supplier's performance. Eventually, offshoring has caused undesirable outcomes for a firm's business. We provide a quantitative supplier evaluation model based on data envelopment analysis (DEA). The model includes two different variant of DEA models. malmquist productivity index (MPI) is used to determine whether objects are performing well over time and uncertain factors are considered stochastically by employing chance-constrained data envelopment analysis (CCDEA). By analyzing a numerical example, the suggested model demonstrates consistent results indicating whether subsidiary performance has improved or not. In addition, coherent outcomes are observed in two different return-to-scale suppositions, except that a subsidiary performance has changed significantly. In theoretical respect, this is the first attempt to combine the two DEA variations. Practically, the model's analysis reflects stochastic data and measures time series changes in performance so that it can provide more useful information for practitioners. | Jo, Jaehyeok; Kim, Sungsu | Kyungpook Natl Univ, Sch Business Adm, 80 Daehak-Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Sch Business Adm & RIEEE, 80 Daehak-Ro, Daegu 41566, South Korea | 57807241300; 57835384100 | sungsukim@knu.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 207 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2022 | 8.5 | 6.4 | 0.24 | 2025-06-25 | 3 | 3 | Chance -constrained data envelopment analysis; Data envelopment analysis; Malmquist productivity index; Shoring strategy; Supplier evaluation | DATA ENVELOPMENT ANALYSIS; SUPPLY CHAIN; MALMQUIST INDEXES; PRODUCTIVITY; DEA; QUALITY; PERFORMANCE; GOVERNANCE; OFFSHORE; INDUSTRY | Chance-constrained data envelopment analysis; Data envelopment analysis; Malmquist productivity index; Shoring strategy; Supplier evaluation | Productivity; Stochastic models; Stochastic systems; Time series analysis; Chance-constrained data envelopment analysis; Corporates; Environmental uncertainty; Foreign countries; Globalisation; Malmquist productivity index; Off-shoring; Performance; Shoring strategy; Supplier Evaluations; Data envelopment analysis | English | 2022 | 2022-11-30 | 10.1016/j.eswa.2022.118032 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Attentive Hierarchical ANFIS with interpretability for cancer diagnostic | Prediction of clinical outcomes using the patient's medical data enhances clinical decision making and improves prognostic accuracy. Deep learning (DL) for medical decision support systems has particularly shown expert level accuracy in predicting clinical outcomes. However, most of these machine learning and Artificial Intelligent (AI) models lack interpretability which causes major trust-related problems in healthcare. This necessitates the need for interpretable AI systems that can explain their decisions. This paper is designed to address the problem of how clinical decision support systems can be designed to be transparent, interpretable and therefore comprehensible for humans. In this view, this paper proposes an attentive hierarchical adaptive neuro-fuzzy inference system (AH-ANFIS), that combines fuzzy inference in a hierarchical architecture with attention for selecting the important rules. The proposed model benefits from the rule-based structure of ANFIS that enables the user to interpret the abstractions of hidden layers. The hierarchical structure in fuzzy modeling helps to overcome the rule explosion problem that arises with large medical data and improve interpretability. To ensure the improvement of interpretability with hierarchical architecture, an evolutionary algorithm (EA) is used to decompose the input space into an optimal permutation of input subsets which results in subsystems with independent meaning. The attention-based rule selector identifies the most activated rule to select important patient-specific features for predicting the clinical outcome. To verify the performance of the proposed AH-ANFIS and analyze the important features for classification, we perform experiments with two cancer diagnostic datasets. By pruning fuzzy if-then rules using recursive rule elimination (RRE), the complexity of the model is largely reduced while maintaining the performance of the system making it more interpretable. | Nguyen, Tuan-Linh; Kavuri, Swathi; Park, Soo-Yeon; Lee, Minho | Kyungpook Natl Univ, Sch Elect Engn, IT 1, Daegu 41566, South Korea; Thai Nguyen Univ Techno, Tich Luong ward, Thai Nguyen city, Vietnam; Kyungpook Natl Univ, Sch Med, Daegu 41566, South Korea | Park, Jun-Bean/AAN-3026-2021; Nguyen, Tuan-Linh/AAJ-4084-2021; Lee, Min-Ho/ABE-5735-2021 | 57754841100; 34881754200; 57612850100; 57191730119 | ntlinh@tnut.edu.vn;swati.kavuri@gmail.com;psy-flower@hanmail.net;mholee@gmail.com; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 201 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2022 | 8.5 | 6.4 | 1.84 | 2025-06-25 | 21 | 24 | Neuro-fuzzy network; Attention; ANFIS; Interpretable AI; Cancer diagnostic; Hierarchical architecture | WIND TURBINE; FUZZY; SELECTION; SYSTEMS | ANFIS; Attention; Cancer diagnostic; Hierarchical architecture; Interpretable AI; Neuro-fuzzy network | Classification (of information); Decision making; Decision support systems; Deep learning; Diagnosis; Diseases; Forecasting; Fuzzy neural networks; Fuzzy systems; Network architecture; Adaptive neuro-fuzzy inference; Artificial intelligent; Attention; Cancer diagnostics; Clinical outcome; Hierarchical architectures; Interpretability; Interpretable artificial intelligent; Medical data; Neuro-fuzzy network; Fuzzy inference | English | 2022 | 2022-09-01 | 10.1016/j.eswa.2022.117099 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Individualized Diagnosis of Preclinical Alzheimer's Disease using Deep Neural Networks | The early diagnosis of Alzheimer's Disease (AD) plays a central role in the treatment of AD. Particularly, identifying the preclinical AD (pAD) stage could be crucial for timely treatment in the elderly. However, screening participants with pAD requires a series of psychological and neurological examinations. Thus, an efficient diagnostic tool is needed. Here, we recruited 91 elderly participants and collected 1 minute of resting-state electroencephalography data to classify participants as normal aging or diagnosed with pAD. We used deep neural networks (Deep ConvNet, EEGNet, EEG-TCNet, and cascade CRNN) in the within-and cross-subject paradigms for classification and found individual variations of classification accuracy in the cross-subject paradigm. Further, we proposed an individualized diagnostic strategy to identify neurophysiological similarities across participants and the proposed approach considering individual characteristics improved the diagnostic performance by approximately 20%. Our findings suggest that considering individual characteristics would be a breakthrough in diagnosing AD using deep neural networks. | Park, Jinhee; Jang, Sehyeon; Gwak, Jeonghwan; Kim, Byeong C.; Lee, Jang Jae; Choi, Kyu Yeong; Lee, Kun Ho; Jun, Sung Chan; Jang, Gil-Jin; Ahn, Sangtae | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Neopons, Daegu, South Korea; Gwangju Inst Sci & Technol, Sch Elect Engn & Comp Sci, Gwangju, South Korea; Korea Natl Univ Transportat, Dept Software, Chungju, South Korea; Chonnam Natl Univ, Dept Neurol, Med Sch, Gwangju, South Korea; Chosun Univ, Gwangju Alzheimers Dis & Related Dementias GARD Co, Gwangju, South Korea; Chosun Univ, Dept Biomed Sci, Gwangju, South Korea; Korea Brain Res Inst, Aging Neurosci Res Grp, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea | ; JUN, SUNG/AAJ-2677-2020; lee, nan/HZM-0321-2023; Ahn, Sangtae/AFQ-7342-2022 | 57697146900; 57192920934; 36620985200; 7501566739; 57201463442; 57193767645; 7409693862; 57195404000; 7102646102; 55468016100 | pjhdrm@knu.ac.kr;shjang@gist.ac.kr;james.han.gawk@gmail.com;byeong.kim7@gmail.com;jjjlee21@gmail.com;khaser@gmail.com;leekho@chosusn.ac.kr;scjun@gist.ac.kr;gjang@knu.ac.kr;stahn@knu.ac.kr; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 210 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2022 | 8.5 | 6.4 | 1.12 | 2025-06-25 | 11 | 14 | Preclinical Alzheimer?s Disease; Electroencephalography; Deep Neural Networks | MILD COGNITIVE IMPAIRMENT; ALPHA RHYTHMS; EEG; DEFINITION; BIOMARKERS | Deep neural networks; Electroencephalography; Preclinical Alzheimer's Disease | Classification (of information); Deep neural networks; Electrophysiology; Neurodegenerative diseases; Alzheimers disease; Classification accuracy; Convnet; Diagnostic strategy; Diagnostics tools; Early diagnosis; Individual characteristics; Neurological examination; Preclinical alzheimer disease; Resting state; Electroencephalography | English | 2022 | 2022-12-30 | 10.1016/j.eswa.2022.118511 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Long-term structural response prediction models for concrete structures using weather data, fiber-optic sensing, and convolutional neural network | This study proposes a long-term strain prediction model for concrete structures using weather data. In the proposed model, the relationship between weather and the strain data for a concrete structure is defined by a convolutional neural network (CNN), which is a machine learning technique, based on the strong correlation between the two types of data. The weather data collected from a weather station located near the monitored structure are used in the input layer of the CNN; the strain data measured by fiber-optic sensors (FOSs) at the structure are used in the output layer of the CNN. The trained CNN can predict the strain using only weather data in the case of sensor malfunctions or data loss. Various types of weather data, including the air temperature, relative humidity, and wind speed, are used to determine the environmental factors that are valid for predicting the long-term deformation of concrete structures. Six prediction models are proposed, in which the three types of weather data are used individually or jointly in the input layer of the CNN. The proposed models are applied to predict the strain of a footbridge located at Princeton University. To build the prediction models, the strain data measured at the bridge over a long-term period and the weather data obtained from a nearby local weather station are used. The performance of the prediction models is verified through long-term strain prediction. Furthermore, the prediction performance of the analyzed models is compared, and the weather data types that are significant for predicting the long-term deformation of concrete structures are elucidated. | Park, Hyo Seon; Hong, Taehoon; Lee, Dong-Eun; Oh, Byung Kwan; Glisic, Branko | Yonsei Univ, Dept Architectural Engn, Seoul 03722, South Korea; Kyungpook Natl Univ, Sch Architecture & Civil & Architectural Engn, Daegu 41566, South Korea; Kyungil Univ, Dept Architectural Engn, Gyeongbuk 38428, South Korea; Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA | Glisic, Branko/F-6105-2013; Hong, Taehoon/E-9169-2012 | 55669886900; 57969349700; 56605563300; 56134318500; 57200346944 | hspark@yonsei.a.kr;hong7@yonsei.ac.kr;dolee@knu.ac.kr;aeioobk@yonsei.ac.kr;bglisic@princeton.edu; | EXPERT SYSTEMS WITH APPLICATIONS | EXPERT SYST APPL | 0957-4174 | 1873-6793 | 201 | SCIE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE;ENGINEERING, ELECTRICAL & ELECTRONIC;OPERATIONS RESEARCH & MANAGEMENT SCIENCE | 2022 | 8.5 | 6.4 | 1.2 | 2025-06-25 | 15 | 16 | Structural health monitoring; Concrete structure; Long-term monitoring; Air temperature; Relative humidity; Fiber-optic strain sensor; Convolutional neural network | IDENTIFICATION; STRAIN; CREEP | Air temperature; Concrete structure; Convolutional neural network; Fiber-optic strain sensor; Long-term monitoring; Relative humidity; Structural health monitoring | Atmospheric temperature; Concrete buildings; Concrete construction; Convolution; Convolutional neural networks; Deformation; Fiber optic sensors; Fiber optics; Learning systems; Structural health monitoring; Weather forecasting; Wind; Air temperature; Concrete structure; Convolutional neural network; Fiber optic strain sensor; Input layers; Long term monitoring; Prediction modelling; Strain data; Weather data; Weather stations; Concretes | English | 2022 | 2022-09-01 | 10.1016/j.eswa.2022.117152 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Predicting wasteful spending in tree planting programs in Indian Himalaya | Tree planting is widely promoted as a cost-effective natural climate solution, yet there are few evaluations of the implementation of tree planting. Our analysis of a unique dataset on tree planting in the Indian Himalayan state of Himachal Pradesh shows that over half of the state's budget for tree planting is wasted on plantations that are unlikely to survive and/or are poorly designed to achieve the state's goal of increasing forest cover. Himachal Pradesh (and India more generally) has been identified as a high potential area for natural climate solutions due to high government capacity, adequate funding, and government agencies with extensive planting experience. We combine data on the location and financial outlay for plantations, which allow us to analyze the relationship between plantations and social and biophysical conditions, with a machine learning model, trained on past land cover change, which predicts the likelihood of future tree cover loss in plantation areas. Our finding that even in this high potential area tree planting programs involve considerable wasted expenditure on ineffective plantations raises questions about optimistic assessments of the potential for tree planting to serve as a cost-effective natural climate solution. We suggest deemphasizing the target-based approaches that dominate present policy-making and high-profile scientific publications, which we argue are the cause of wasted expenditures in Himachal Pradesh. Instead policy-makers and scientists interested in natural climate solutions should focus on developing solutions that respond to local biophysical, social, and economic realities, and are implemented through transparent procedures that increase accountability to and reinforce the rights of forest dependent people. (C) 2022 Elsevier Ltd. All rights reserved. | Rana, Pushpendra; Fleischman, Forrest; Ramprasad, Vijay; Lee, Kangjae | Indian Forest Serv, Shimla 171002, Himachal Prades, India; Univ Minnesota, Dept Forest Resources, 1530 Cleveland Ave North, St Paul, MN 55108 USA; Ctr Ecol Dev & Res, Dehra Dun 248006, Uttarakhand, India; Kyungpook Natl Univ, Sch Convergence & Fus Syst Engn, 2559 Gyeongsang Daero, Sangju Si 37224, Gyeongsangbuk D, South Korea | Fleischman, Forrest/I-8703-2016; Rana, Pushpendra/AGK-5348-2022 | 56861921400; 36801573800; 56526878100; 56040328200 | hp131@ifs.nic.in;ffleisch@umn.edu;vijay.ramprasad@cedarhimalaya.org;kasbiss@knu.ac.kr; | WORLD DEVELOPMENT | WORLD DEV | 0305-750X | 1873-5991 | 154 | SSCI | DEVELOPMENT STUDIES;ECONOMICS | 2022 | 6.9 | 6.4 | 2.47 | 2025-06-25 | 22 | 21 | Natural climate solutions; Tree planting programs; Wasteful spending; Forests; Himalaya; Machine Learning | LANDSCAPE RESTORATION; FOREST GOVERNANCE; BIODIVERSITY; LIVELIHOODS; POLICY | Forests; Himalaya; Machine Learning; Natural climate solutions; Tree planting programs; Wasteful spending | Himachal Pradesh; Himalayas; India; expenditure; forestry policy; government; implementation process; machine learning; policy making; prediction; tree planting | English | 2022 | 2022-06 | 10.1016/j.worlddev.2022.105864 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Quantitative computed tomography imaging-based classification of cement dust-exposed subjects with an artificial neural network technique | Background and objective: Cement dust exposure is likely to affect the structural and functional alterations in segmental airways and parenchymal lungs. This study develops an artificial neural network (ANN) model for identifying cement dust-exposed (CDE) subjects using quantitative computed tomography-based airway structural and functional features. Methods: We obtained the airway features in five central and five sub-grouped segmental regions and the lung features in five lobar regions and one total lung region from 311 CDE and 298 non CDE (NCDE) subjects. The five-fold cross-validation method was adopted to train the following classification models:ANN, support vector machine (SVM), logistic regression (LR), and decision tree (DT). For all the classification models, linear discriminant analysis (LDA) and genetic algorithm (GA) were applied for dimensional reduction and hyperparameterization, respectively. The ANN model without LDA was also optimized by the GA method to observe the effect of the dimensional reduction. Results: The genetically optimized ANN model without the LDA method was the best in terms of the classification accuracy. The accuracy, sensitivity, and specificity of the GA - ANN model with four layers were greater than those of the other classification models (i.e., ANN, SVM, LR, and DT using LDA and GA methods) in the five-fold cross-validation. The average values of accuracy, sensitivity, and specificity for the five-fold cross-validation were 97.0%, 98.7%, and 98.6%, respectively. Conclusions: We demonstrated herein that a quantitative computed tomography-based ANN model could more effectively detect CDE subjects when compared to their counterpart models. By employing the model, the CDE subjects may be identified early for therapeutic intervention. | Kim, Taewoo; Kim, Woo Jin; Lee, Chang Hyun; Chae, Kum Ju; Bak, So Hyeon; Kwon, Sung Ok; Jin, Gong Yong; Park, Eun-Kee; Choi, Sanghun | Kyungpook Natl Univ, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea; Kangwon Natl Univ, Kangwon Natl Univ Hosp, Dept Internal Med, Sch Med, Chunchon, South Korea; Kangwon Natl Univ, Kangwon Natl Univ Hosp, Environm Hlth Ctr, Sch Med, Chunchon, South Korea; Seoul Natl Univ, Coll Med, Dept Radiol, Seoul, South Korea; Univ Iowa, Coll Med, Dept Radiol, Iowa City, IA 52242 USA; Jeonbuk Natl Univ, Jeonbuk Natl Univ Hosp, Dept Radiol, Biomed Res Inst,Res Inst Clin Med, Jeonju, South Korea; Kangwon Natl Univ, Kangwon Natl Univ Hosp, Sch Med, Dept Radiol, Chunchon, South Korea; Kosin Univ, Coll Med, Dept Med Humanities & Social Med, Busan, South Korea | Choi, Sanghun/AGS-7430-2022; Kim, Jong/J-2749-2012 | 57192910015; 56560422500; 57196253438; 57195310676; 57192422019; 55548156100; 55663719500; 57216814178; 55847101000 | s-choi@knu.ac.kr; | COMPUTERS IN BIOLOGY AND MEDICINE | COMPUT BIOL MED | 0010-4825 | 1879-0534 | 141 | SCIE | BIOLOGY;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;ENGINEERING, BIOMEDICAL;MATHEMATICAL & COMPUTATIONAL BIOLOGY | 2022 | 7.7 | 6.4 | 0.48 | 2025-06-25 | 6 | 6 | Artificial neural networks; Machine learning; Computed tomography; Quantitative computed tomography; Cement dust exposure; Environmental exposure | LUNG-FUNCTION; DISEASE; COPD; DIAGNOSIS; AIRWAYS | Artificial neural networks; Cement dust exposure; Computed tomography; Environmental exposure; Machine learning; Quantitative computed tomography | Dust; Humans; Logistic Models; Neural Networks, Computer; Support Vector Machine; Tomography, X-Ray Computed; Biological organs; Cements; Decision trees; Discriminant analysis; Dust; Genetic algorithms; Neural networks; Support vector machines; cement; Artificial neural network modeling; Cement dust; Cement dust exposure; Classification models; Environmental exposure; Linear discriminant analyze; Machine logistics; Network support; Quantitative computed tomographies; Support vectors machine; adult; aged; Article; artificial neural network; asthma; body mass; chronic obstructive lung disease; classification; computer assisted tomography; controlled study; cross validation; decision tree; dust exposure; environmental exposure; female; forced expiratory volume; forced vital capacity; functional residual capacity; genetic algorithm; human; image registration; image segmentation; logistic regression analysis; lung function; machine learning; major clinical study; male; middle aged; people by smoking status; pneumonia; quantitative analysis; respiratory airflow; sensitivity and specificity; support vector machine; total lung capacity; dust; statistical model; x-ray computed tomography; Computerized tomography | English | 2022 | 2022-02 | 10.1016/j.compbiomed.2021.105162 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Expression of antimicrobial peptides associated with different susceptibilities to environmental chemicals in Drosophila suzukii and Drosophila melanogaster | Drosophila suzukii is a serious agricultural pest. The evolved morphology of the female D. suzukii assists in penetrating the surface of fresh fruit and spawns eggs with its unique ovipositor. Conversely, Drosophila mela-nogaster, a taxonomically close species with D. suzukii, largely inhabits decaying and fermenting fruits and is consistently exposed to extensive environmental chemicals, such as 2-phenylethanol, ethanol, and acetic acid, produced by microorganisms. Considering the distinct habitats of the two flies, D. suzukii is thought to be more susceptible to environmental chemicals than D. melanogaster. We investigated the significantly higher survival rate of D. melanogaster following exposure to 2-phenylethanol, ethanol, and acetic acid. A comparison of the expression of antimicrobial peptides (AMPs) between the two flies treated with chemicals established that AMPs were generally more abundantly induced in D. melanogaster than in D. suzukii, particularly in the gut and fat body. Among the AMPs, the induction of genes (Diptericin A, Diptericin B, and Metchnikowin), which are regulated by the immune deficiency (IMD) pathway, was significantly higher than that of Drosomycin, which belongs to the Toll pathway in chemical-treated D. melanogaster. A transgenic RNAi fly (D. melanogaster) with silenced expression of AMPs and Relish, a transcription factor of the IMD pathway, exhibited significantly reduced sur-vival rates than the control fly. Our results suggest that AMPs regulated by the IMD pathway play an important role in the chemical tolerance of D. melanogaster, and these flies are adapted to their habitats by physiological response. | Kim, YeongHo; Goh, Gyuhyeong; Kim, Young Ho | Kyungpook Natl Univ, Dept Ecol Sci, Sangju 37224, South Korea; Kansas State Univ, Dept Stat, Manhattan, KS 66506 USA; Kyungpook Natl Univ, Dept Vector Entomol, Sangju 37224, South Korea | Kim, Young/J-5414-2012 | 57204608118; 55964615700; 58516491300 | yhkim05@knu.ac.kr; | PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY | PESTIC BIOCHEM PHYS | 0048-3575 | 1095-9939 | 187 | SCIE | BIOCHEMISTRY & MOLECULAR BIOLOGY;ENTOMOLOGY;PHYSIOLOGY | 2022 | 4.7 | 6.5 | 0.28 | 2025-06-25 | 3 | 3 | Drosophila melanogaster; Drosophila suzukii; Environmental chemicals; Susceptibility; Antimicrobial peptides | SPOTTED WING DROSOPHILA; DIPTERA DROSOPHILIDAE; MEDIATE ATTRACTION; IMMUNE-RESPONSE; HOST-DEFENSE; ETHANOL; TOLL; VOLATILES; GENES; IDENTIFICATION | Antimicrobial peptides; Drosophila melanogaster; Drosophila suzukii; Environmental chemicals; Susceptibility | Animals; Antimicrobial Peptides; Drosophila; Drosophila melanogaster; Phenylethyl Alcohol; Transcription Factors; phenethyl alcohol; polypeptide antibiotic agent; transcription factor; animal; Drosophila; Drosophila melanogaster; genetics | English | 2022 | 2022-10 | 10.1016/j.pestbp.2022.105210 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Meeting Abstract | GENERATION OF BIG DATA FOR FERTILITY TREATMENT AT THE NATIONAL LEVEL IN SOUTH KC/litEA | Ka, Taehoon; Lee, Hyejun; Jung, Jiye; Park, Jong Hyuk; Kim, Hyung Min; Woo, Sunghan; Koo, Jaseong; Min, Sung-Hun; Kim, Miran; Chang, Hye Jin; Chung, Mi Kyung; Cho, Moon Kyoung; Lee, Jisun | Catholic Univ Korea, Dept Med Informat, Seoul, South Korea; Kai Hlth, Seoul, South Korea; Miraewaheemang Hosp, IVF Clin, Seoul, South Korea; Good Moonhwa Hosp, Busan, South Korea; Ajou Univ, Sch Med, Suwon, South Korea; Seoul Rachel Fertil Ctr, Seoul, South Korea; Chonnam Natl Univ, Sch Med, Gwangju, South Korea; Kyungpook Natl Univ, Sch Med, Daegu, South Korea | Lee, Hyejun/KHZ-4811-2024; Kim, Sun/C-2026-2011 | FERTILITY AND STERILITY | FERTIL STERIL | 0015-0282 | 1556-5653 | 118 | 4 | SCIE | OBSTETRICS & GYNECOLOGY;REPRODUCTIVE BIOLOGY | 2022 | 6.7 | 6.5 | 0 | English | 2022 | 2022-10 | 바로가기 | 바로가기 | |||||||||||||||
| ○ | ○ | Article | Intracellular Ca²⁺ accumulation triggered by caffeine provokes resistance against a broad range of biotic stress in rice | Chemical pesticides are still frequently overused to diminish such crop loss caused by biotic stress despite the threat to humans and the environment. Thus, it is urgent to find safer and more effective defense strategies. In this study, we report that caffeine, implanted through a transgenic approach, enhances resistance against variable biotic stresses in rice without fitness cost. Caffeine-producing rice (CPR) was generated by introducing three N-methyltransferase genes involved in the biosynthesis of caffeine in coffee plants. The CPR plants have no differences in morphology and growth compared to their wild-type counterparts, but they show strongly enhanced resistance to both bacterial leaf blight, rice blast, and attack of white-backed planthoppers. Caffeine acts as a repellent agent against rice pathogens. Moreover, caffeine triggers a series of Ca2+ signalling-like processes to synthesize salicylic acid (SA), a hormone associated with plant resistance. In CPR, phosphodiesterase was inhibited by caffeine, cAMP and cGMP increased, intracellular Ca2+ increased, phenylalanine lyase (PAL) was activated by OsCPK1, and SA synthesis was activated. This finding is a novel strategy to improve resistance against the biotic stresses of crops with a special type of defense inducer. | Park, Jong-Chan; Yoo, Youngchul; Lim, Hyemin; Yun, Sopheap; Win, Kay Tha Ye Soe; Kim, Kyung-Min; Lee, Gang-Seob; Cho, Man-Ho; Lee, Tae Hoon; Sano, Hiroshi; Lee, Sang-Won | Kyung Hee Univ, Dept Genet Engn, Yongin 17104, South Korea; Kyung Hee Univ, Grad Sch Biotechnol, Yongin 17104, South Korea; Kyung Hee Univ, Inst Crop Biotechnol, Yongin, South Korea; Rural Dev Adm, Natl Acad Agr Sci, Genom Div, Jeonju, South Korea; Kyungpook Natl Univ, Coll Agr & Life Sci, Sch Appl Biosci, Div Plant Biosci, Daegu, South Korea; Kyung Hee Univ, Dept Appl Chem, Yongin, South Korea; Nara Inst Sci & Technol, Res & Educ Ctr Genet Informat, Nara, Japan | ; Kim, Kyung-Min Kim/C-7007-2014; Lee, Sang-Won/AAI-7292-2020; Lee, Tae/B-1160-2013 | 57020089500; 57212635141; 16245024900; 57190670675; 57450598100; 34868260300; 25927158200; 35228528100; 56493468700; 35465879200; 57202883497 | swlee6803@khu.ac.kr; | PLANT CELL AND ENVIRONMENT | PLANT CELL ENVIRON | 0140-7791 | 1365-3040 | 45 | 4 | SCIE | PLANT SCIENCES | 2022 | 7.3 | 6.5 | 1.16 | 2025-06-25 | 8 | 11 | biotic stress; Ca2+ signalling; caffeine; caffeine-producing rice; defense inducer; resistance; salicylic acid | DEPENDENT PROTEIN-KINASE; ACID-INDUCED RESISTANCE; INNATE IMMUNITY; SECONDARY METABOLITES; MOLECULAR-PATTERNS; GENE-EXPRESSION; SALICYLIC-ACID; DEFENSE; CALCIUM; RESPONSES | biotic stress; Ca<sup>2+</sup> signalling; caffeine; caffeine-producing rice; defense inducer; resistance; salicylic acid | Caffeine; Disease Resistance; Gene Expression Regulation, Plant; Oryza; Plant Diseases; Plant Proteins; Plants, Genetically Modified; Salicylic Acid; Stress, Physiological; caffeine; plant protein; salicylic acid; accumulation; coffee; hormone; morphology; repellent; salicylic acid; disease resistance; gene expression regulation; genetics; metabolism; microbiology; Oryza; physiological stress; plant disease; transgenic plant | English | 2022 | 2022-04 | 10.1111/pce.14273 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Novel mechanism and degradation kinetics of pesticides mixture using Bacillus sp. strain 3C in contaminated sites | The present study has investigated the potential of Bacillus sp. strain 3C able to degrade mixture of pesticides from the environment. It showed maximum tolerance up to 450 mg.L-1 for cypermethrin, fipronil, imidacloprid and sulfosulfuron. The strain 3C was able to degrade up to the 94% of mixture of pesticides (20 mg.L-1) within 15 days of experiment. The Box-Behnken design of Response Surface Methodology (RSM) determined the optimized conditions as; inoculum size 3.0 x 10(7) CFU.mL(-1), shaking speed 120 rpm, and pesticides concentration 80 mg.L-1. In soil-based bioremediation with strain 3C after 15 days degradation pattern was; 99, 94, 92, 92 and 7% for the imidacloprid, sulfosulfuron, fipronil, cypermethrin and control respectively. The novel intermediate metabolites for cypermethrin degradation were investigated as decyl isobutyl ester, phthalic acid, cyclopropane carboxylic acid tri dec-2-ynyl ester, 9- octadecanal, tridecane, propanoic acid, cyclohexene, bicyclo [2.2.1] heptan-2-ol, and acetic acid were identified using Gas chromatography Mass Spectrometry (GC-MS) with strain 3C. Moreover, the results of the laccase based enzymatic kinetics suggested that the rate of production was maximum in pesticides stress (94 mu g.mu L-1) whereas, in normal condition 51 mu g.mu L-1. The K-m value found to be decreased in pesticides stress condition 12.25 and increment in K-m 13.58 mM was observed without stress. Furthermore, aldehyde dehydrogenase (ALDH) and laccase encoding genes were amplified and linked with mixture of pesticides bioremediation. The efficiency of bacterial strain 3C, could be used for bioremediation of mixture of pesticides, and other xenobiotic compounds from the contaminated environments. | Gangola, Saurabh; Sharma, Anita; Joshi, Samiksha; Bhandari, Geeta; Prakash, Om; Govarthanan, Muthusamy; Kim, Woong; Bhatt, Pankaj | Graph Era Hill Univ, Sch Agr, Bhimtal 263136, India; GB Pant Univ Agr & Technol, Dept Microbiol, Pantnagar 263139, Uttar Pradesh, India; Swami Rama Himalayan Univ, Dept Biosci, Dehra Dun 248016, Uttarakhand, India; GB Pant Univ Agr & Technol, Dept Chem, Pantnagar 263139, Uttar Pradesh, India; Kyungpook Natl Univ, Dept Environm Engn, Daegu 41566, South Korea | Bhandari, Geeta/AGZ-9441-2022; Govarthanan, Muthusamy/C-1491-2014; PRAKASH, OM/B-5471-2014; Bhatt, Pankaj/AAF-1027-2020; Gangola, Saurabh/AFK-7726-2022; Muthusamy, Govarthanan/C-1491-2014 | 57191623106; 57296788200; 57207999129; 57208717654; 57216493703; 54881927600; 55581636400; 57193623387 | saindsaurabh@gmail.com;pankajbhatt.bhatt472@gmail.com; | PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY | PESTIC BIOCHEM PHYS | 0048-3575 | 1095-9939 | 181 | SCIE | BIOCHEMISTRY & MOLECULAR BIOLOGY;ENTOMOLOGY;PHYSIOLOGY | 2022 | 4.7 | 6.5 | 5.4 | 2025-06-25 | 41 | 57 | Bacillus sp. 3C; Biodegradation; Pesticides; Lactase; ALDH; Metabolites; Xenobiotic | ORGANOCHLORINE PESTICIDES; SOIL; BIODEGRADATION; BIOREMEDIATION; LACCASE; CELLS | ALDH; Bacillus sp. 3C; Biodegradation; Laccase; Metabolites; Pesticides; Xenobiotic | Bacillus; Biodegradation, Environmental; Gas Chromatography-Mass Spectrometry; Kinetics; Pesticides; Soil Pollutants; pesticide; Bacillus; bioremediation; kinetics; mass fragmentography; soil pollutant | English | 2022 | 2022-02 | 10.1016/j.pestbp.2021.104996 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Direct Observation of Orbital Driven Strong Interlayer Coupling in Puckered Two-Dimensional PdSe2 | Interlayer coupling between individual unit layers is known to be critical in manipulating the layer-dependent properties of two-dimensional (2D) materials. While recent studies have revealed that several 2D materials with significant degrees of interlayer interaction (such as black phosphorus) show strongly layer-dependent properties, the origin based on the electronic structure is drawing intensive attention along with 2D materials exploration. Here, the direct observation of a highly dispersive single electronic band along the interlayer direction in puckered 2D PdSe2 as an experimental hallmark of strong interlayer couplings is reported. Remarkably large band dispersion along the k(z)-direction near Fermi level, which is even wider than the in-plane one, is observed by the angle-resolved photoemission spectroscopy measurement. Employing X-ray absorption spectroscopy and density functional theory calculations, it is revealed that the strong interlayer coupling in 2D PdSe2 originates from the unique directional bonding of Pd d orbitals associated with unexpected Pd 4d(9) configuration, which consequently plays a decisive role for the strong layer-dependency of the band gap. | Ryu, Jung Hyun; Kim, Jeong-Gyu; Kim, Bongjae; Kim, Kyoo; Kim, Sooran; Park, Jae-Hoon; Park, Byeong-Gyu; Kim, Younghak; Ko, Kyung-Tae; Lee, Kimoon | Kunsan Natl Univ, Dept Phys, Gunsan 54150, South Korea; Pohang Univ Sci & Technol POSTECH, Max Planck POSTECH Hsinchu Ctr Complex Phase Mat, Pohang 37673, South Korea; Pohang Univ Sci & Technol POSTECH, Dept Phys, Pohang 37673, South Korea; Korea Atom Energy Res Inst KAERI, Daejeon 34057, South Korea; Kyungpook Natl Univ, Dept Phys Educ, Daegu 41566, South Korea; Pohang Univ Sci & Technol POSTECH, Pohang Accelerator Lab, Pohang 37673, South Korea; Korea Basic Sci Inst KBSI, Daejeon 34133, South Korea | Ko, Kyung-Tae/AAA-5417-2022; Park, Jae/A-1275-2018; Kim, Kwang Ho/CAH-2165-2022 | 57215208463; 57226342482; 55650566000; 57214859153; 55146733200; 15036184900; 35183742600; 57193423066; 26026021900; 57222518881 | kkt0706@kbsi.re.kr;kimoon.lee@kunsan.ac.kr; | SMALL | SMALL | 1613-6810 | 1613-6829 | 18 | 9 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER | 2022 | 13.3 | 6.6 | 0.83 | 2025-06-25 | 11 | 11 | 2D materials; angle-resolved photoemission spectroscopy; density-functional theory; interlayer coupling | MONOLAYER; STABILITY | 2D materials; angle-resolved photoemission spectroscopy; density-functional theory; interlayer coupling | Chemical bonds; Density functional theory; Electronic structure; Energy gap; Palladium; Palladium compounds; Photoelectron spectroscopy; X ray absorption spectroscopy; Direct observations; Electronic band; Electronic.structure; Interlayer coupling; Interlayer interactions; Orbitals; Property; Single electronics; Two-dimensional; Unit layers; angle resolved photoemission spectroscopy; article; cross coupling reaction; density functional theory; human experiment; X ray absorption spectroscopy; Selenium compounds | English | 2022 | 2022-03 | 10.1002/smll.202106053 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Ferroelectric Polymer Nanofibers Reminiscent of Morphotropic Phase Boundary Behavior for Improved Piezoelectric Energy Harvesting | Ferroelectric and piezoelectric polymers have attracted great attention from many research and engineering fields due to its mechanical robustness and flexibility as well as cost-effectiveness and easy processibility. Nevertheless, the electrical performance of piezoelectric polymers is very hard to reach that of piezoelectric ceramics basically and physically, even in the case of the representative ferroelectric polymer, poly(vinylidene fluoride-co-trifluoroethylene) (P(VDF-TrFE)). Very recently, the concept for the morphotropic phase boundary (MPB), which has been exclusive in the field of high-performance piezoelectric ceramics, has been surprisingly confirmed in P(VDF-TrFE) piezoelectric copolymers by the groups. This study demonstrates the exceptional behaviors reminiscent of MPB and relaxor ferroelectrics in the feature of widely utilized electrospun P(VDF-TrFE) nanofibers. Consequently, an energy harvesting device that exceeds the performance limitation of the existing P(VDF-TrFE) materials is developed. Even the unpoled MPB-based P(VDF-TrFE) nanofibers show higher output than the electrically poled normal P(VDF-TrFE) nanofibers. This study is the first step toward the manufacture of a new generation of piezoelectric polymers with practical applications. | Park, Jiseul; Lim, Yeong-won; Cho, Sam Yeon; Byun, Myunghwan; Park, Kwi-Il; Lee, Han Eol; Bu, Sang Don; Lee, Ki-Tae; Wang, Qing; Jeong, Chang Kyu | Jeonbuk Natl Univ, Div Adv Mat Engn, Jeonju 54896, Jeonbuk, South Korea; Jeonbuk Natl Univ, Grad Sch, Dept Energy Storage Convers Engn, Jeonju 54896, Jeonbuk, South Korea; Jeonbuk Natl Univ, Hydrogen & Fuel Cell Res Ctr, Jeonju 54896, Jeonbuk, South Korea; Jeonbuk Natl Univ, Dept Phys, Jeonju 54896, Jeonbuk, South Korea; Keimyung Univ, Dept Adv Mat Engn, Daegu 42601, South Korea; Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea; Penn State Univ, Dept Mat Sci & Engn, University Pk, PA 16802 USA | Lee, Han/AAS-6899-2020; Bu, Sang/B-1576-2008; Wang, Qing/B-5034-2015; Jeong, Chang Kyu/ADT-8127-2022; Byun, Myunghwan/M-1678-2019; Park, Kwiil/LKN-9445-2024 | 57467697800; 57222112893; 55153667500; 16244272800; 35280874200; 56415504500; 7005919299; 23482416300; 55698210400; 55961876600 | wang@matse.psu.edu;ckyu@jbnu.ac.kr; | SMALL | SMALL | 1613-6810 | 1613-6829 | 18 | 15 | SCIE | CHEMISTRY, MULTIDISCIPLINARY;CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY;PHYSICS, APPLIED;PHYSICS, CONDENSED MATTER | 2022 | 13.3 | 6.6 | 3.75 | 2025-06-25 | 56 | 50 | electrospinning; morphotropic phase boundary (MPB); nanofiber energy harvesters; P(VDF-TrFE); relaxor ferroelectrics | POLY(VINYLIDENE FLUORIDE); BATIO3 NANOPARTICLES; DIELECTRIC PROPERTY; BREAKDOWN STRENGTH; BETA-PHASE; NANOGENERATOR; PVDF; NANOCOMPOSITE; PERFORMANCE; TRANSITION | electrospinning; morphotropic phase boundary (MPB); nanofiber energy harvesters; P(VDF-TrFE); relaxor ferroelectrics | Cost effectiveness; Cost engineering; Energy harvesting; Ferroelectric materials; Ferroelectricity; Fluorine compounds; Piezoelectric ceramics; Piezoelectricity; Electrospinning; Energy Harvester; Ferroelectric polymers; Morphotropic phase boundaries; Morphotropic phase boundary; Nanofiber energy harvester; Poly(vinylidene fluoride); Poly(vinylidene fluoride-co-trifluoroethylene); Relaxor ferroelectric; Trifluoroethylene; Nanofibers | English | 2022 | 2022-04 | 10.1002/smll.202104472 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | In-hospital glycemic variability and all-cause mortality among patients hospitalized for acute heart failure | Background: High glycemic variability (GV) is a poor prognostic marker in cardiovascular diseases. We aimed to investigate the association of GV with all-cause mortality in patients with acute heart failure (HF). Methods: The Korean Acute Heart Failure registry enrolled patients hospitalized for acute HF from 2011 to 2014. Blood glucose levels were measured at the time of admission, during hospitalization, and at discharge. We included those who had 3 or more blood glucose measurements in this study. Patients were divided into two groups based on the coefficient of variation (CoV) as an indicator of GV. Among survivors of the index hospitalization, we investigated all-cause mortality at 1 year after discharge. Results: The study analyzed 2,617 patients (median age, 72 years; median left-ventricular ejection fraction, 36%; 53% male). During the median follow-up period of 11 months, 583 patients died. Kaplan-Meier curve analysis revealed that high GV (CoV > 21%) was associated with lower cumulative survival (log-rank P < 0.001). Multivariate Cox proportional analysis showed that high GV was associated with an increased risk of 1-year (HR 1.56, 95% CI 1.26-1.92) mortality. High GV significantly increased the risk of 1-year mortality in non-diabetic patients (HR 1.93, 95% CI 1.47-2.54) but not in diabetic patients (HR 1.19, 95% CI 0.86-1.65, P for interaction = 0.021). Conclusions:High in-hospital GV before discharge was associated with all-cause mortality within 1 year, especially in non-diabetic patients with acute HF. | Chun, Kyeong-Hyeon; Oh, Jaewon; Lee, Chan Joo; Park, Jin Joo; Lee, Sang Eun; Kim, Min-Seok; Cho, Hyun-Jai; Choi, Jin-Oh; Lee, Hae-Young; Hwang, Kyung-Kuk; Kim, Kye Hun; Yoo, Byung-Su; Choi, Dong-Ju; Baek, Sang Hong; Jeon, Eun-Seok; Kim, Jae-Joong; Cho, Myeong-Chan; Chae, Shung Chull; Oh, Byung-Hee; Kang, Seok-Min | Ilsan Hosp, Div Cardiol, Natl Hlth Insurance Serv, Goyang, South Korea; Yonsei Univ, Severance Hosp, Cardiovasc Res Inst, Dept Internal Med,Coll Med, 50-1 Yonsei Ro, Ro 03722, Seoul, South Korea; Seoul Natl Univ, Div Cardiol, Bundang Hosp, Seongnam, South Korea; Asan Med Ctr, Div Cardiol, Seoul, South Korea; Seoul Natl Univ Hosp, Dept Internal Med, Seoul, South Korea; Sungkyunkwan Univ, Dept Internal Med, Coll Med, Seoul, South Korea; Chungbuk Natl Univ, Dept Internal Med, Coll Med, Cheongju, South Korea; Chonnam Natl Univ, Dept Internal Med, Gwangju, South Korea; Yonsei Univ, Dept Internal Med, Wonju Coll Med, Wonju, South Korea; Catholic Univ Korea, Dept Internal Med, Seoul, South Korea; Kyungpook Natl Univ, Dept Internal Med, Coll Med, Daegu, South Korea; Mediplex Sejong Hosp, Dept Internal Med, Incheon, South Korea | Choi, Joon/D-6140-2017; Lee, Jeong Hoon/AAF-2400-2020; Jeong, Gi/AAB-2830-2021; LEE, JI/L-6920-2013; Oh, Byung-Hee/G-9875-2011; Choi, Dong-Ju/J-5686-2012 | 57207775021; 58392341700; 56812485300; 35799900000; 57207065107; 57212315719; 35285421400; 15848011800; 56151235500; 7402426370; 56150430800; 7102851884; 35274349200; 7201371594; 7004279641; 36065764100; 7401727518; 7101962036; 57216293873; 7405685375 | smkang@yuhs.ac; | CARDIOVASCULAR DIABETOLOGY | CARDIOVASC DIABETOL | 1475-2840 | 21 | 1 | SCIE | CARDIAC & CARDIOVASCULAR SYSTEMS;ENDOCRINOLOGY & METABOLISM | 2022 | 9.3 | 6.6 | 2.1 | 2025-06-25 | 22 | 20 | Glucose metabolism disorder; Glycemic variability; Type 2 diabetes mellitus; Heart failure; Mortality | GLUCOSE; IMPACT; HYPOGLYCEMIA; EVENTS; RISK | Glucose metabolism disorder; Glycemic variability; Heart failure; Mortality; Type 2 diabetes mellitus | Aged; Blood Glucose; Female; Heart Failure; Hospitalization; Hospitals; Humans; Hyperglycemia; Male; Prognosis; Stroke Volume; Ventricular Function, Left; amino terminal pro brain natriuretic peptide; angiotensin receptor antagonist; antidiabetic agent; beta adrenergic receptor blocking agent; dipeptidyl carboxypeptidase inhibitor; hemoglobin; hemoglobin A1c; loop diuretic agent; mineralocorticoid antagonist; sulfonylurea; acute heart failure; aged; all cause mortality; Article; artificial ventilation; atrial fibrillation; blood sampling; body mass; chronic kidney failure; clinical outcome; cohort analysis; creatinine blood level; diabetes mellitus; diastolic blood pressure; echocardiography; estimated glomerular filtration rate; female; follow up; glucose blood level; glucose level; glucose metabolism; heart failure; heart left ventricle ejection fraction; hospital discharge; hospital patient; hospitalization; human; hypertension; insulin treatment; laboratory test; major clinical study; male; mortality; multicenter study; New York Heart Association class; non insulin dependent diabetes mellitus; physical examination; prevalence; renal replacement therapy; sodium blood level; systolic blood pressure; heart failure; heart left ventricle function; heart stroke volume; hospital; hospitalization; hyperglycemia; prognosis | English | 2022 | 2022-12-27 | 10.1186/s12933-022-01720-4 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Editorial Material | Editorial: a paradigm shift in NUDT15 assessment-towards predictive and personalised medicine in Crohn's disease? Authors' reply | Kim, Eun Sil; Kang, Ben | Sungkyunkwan Univ, Samsung Med Ctr, Dept Pediat, Sch Med, Seoul, South Korea; Kyungpook Natl Univ, Sch Med, Dept Pediat, Daegu, South Korea | Kim, Nam-Joong/J-2735-2012; 康, 奔/JMQ-0812-2023 | 57205500267; 57194823199 | benkang@knu.ac.kr; | ALIMENTARY PHARMACOLOGY & THERAPEUTICS | ALIMENT PHARM THER | 0269-2813 | 1365-2036 | 55 | 6 | SCIE | GASTROENTEROLOGY & HEPATOLOGY;PHARMACOLOGY & PHARMACY | 2022 | 7.6 | 6.7 | 0 | 2025-06-25 | 0 | 0 | Crohn Disease; Humans; Precision Medicine; azathioprine; infliximab; cell proliferation; clinical assessment; clinical outcome; Crohn disease; drug effect; Editorial; gene; genetic polymorphism; human; NUDT15 gene; personalized medicine; protein expression; treatment duration; treatment response; Crohn disease; genetics; personalized medicine | English | 2022 | 2022-03 | 10.1111/apt.16813 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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