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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 | Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectra | Surface-enhanced Raman spectroscopy (SERS) has been well explored as a highly effective characterization technique that is capable of chemical pollutant detection and identification at very low concentrations. Machine learning has been previously used to identify compounds based on SERS spectral data. However, utilization of SERS to quantify concentrations, with or without machine learning, has been difficult due to the spectral intensity being sensitive to confounding factors such as the substrate parameters, orientation of the analyte, and sample preparation technique. Here, we demonstrate an approach for predicting the concentration of sample pollutants from SERS spectra using machine learning. Frequency domain transform methods, including the Fourier and Walsh-Hadamard transforms, are applied to spectral data sets of three analytes (rhodamine 6G, chlorpyrifos, and triclosan), which are then used to train machine learning algorithms. Using standard machine learning models, the concentration of the sample pollutants is predicted with >80% cross-validation accuracy from raw SERS data. A cross-validation accuracy of 85% was achieved using deep learning for a moderately sized data set (similar to 100 spectra), and 70-80% was achieved for small data sets (similar to 50 spectra). Performance can be maintained within this range even when combining various sample preparation techniques and environmental media interference. Additionally, as a spectral pretreatment, the Fourier and Hadamard transforms are shown to consistently improve prediction accuracy across multiple data sets. Finally, standard models were shown to accurately identify characteristic peaks of compounds via analysis of their importance scores, further verifying their predictive value. | Jayaprakash, Vishnu; You, Jae Bem; Kanike, Chiranjeevi; Liu, Jinfeng; McCallum, Christopher; Zhang, Xuehua | Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 1H9, Canada; Kyungpook Natl Univ, Dept Chem Engn, Daegu 41566, South Korea | ; Zhang, Xuehua/G-1085-2010; Jayaprakash, Vishnu/MIP-1079-2025; You, Jae/C-6211-2019; Liu, Jinfeng/M-5379-2013; KANIKE, CHIRANJEEVI/HRA-1568-2023 | 58884135100; 55619455300; 57767610600; 55705837500; 57207033296; 8918489500 | jayapra1@ualberta.ca;xuehua.zhang@ualberta.ca; | ENVIRONMENTAL SCIENCE & TECHNOLOGY | ENVIRON SCI TECHNOL | 0013-936X | 1520-5851 | 58 | 35 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 1.49 | 2025-05-07 | 10 | 10 | Surface-Enhanced Raman Spectroscopy; DeepLearning; Convolutional Neural Networks; PersistentOrganic Pollutants; Water Contaminants | SPECTROSCOPY; RECOGNITION | Convolutional Neural Networks; Deep Learning; Persistent Organic Pollutants; Surface-Enhanced Raman Spectroscopy; Water Contaminants | Algorithms; Machine Learning; Spectrum Analysis, Raman; Chemical detection; Convolutional neural networks; Deep learning; Fourier transforms; Frequency domain analysis; Hadamard transforms; Learning algorithms; Learning systems; Light transmission; Substrates; Water pollution; chlorpyrifos; rhodamine 6G; river water; silver nanoparticle; tap water; triclosan; Analytes; Convolutional neural network; Deep learning; Machine-learning; Persistent organic pollutant; Sample preparation techniques; Spectra's; Spectral data; Surface enhanced Raman spectroscopy; Water contaminants; artificial neural network; data set; machine learning; numerical model; persistent organic pollutant; Raman spectroscopy; water content; Article; classification; concentration (parameter); controlled study; convolutional neural network; cross validation; deep learning; evaporation; Fourier transform; Hadamard transform; learning algorithm; machine learning; measurement accuracy; persistent organic pollutant; predictive value; random forest; surface enhanced Raman spectroscopy; water pollutant; algorithm; Raman spectrometry; Organic pollutants | English | 2024 | 2024-01-25 | 10.1021/acs.est.3c06447 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Effective radioactive strontium removal using lithium titanate decorated Ti 3 C 2 T x MXene/polyacrylonitrile beads | A lithium titanate-decorated Ti 3 C 2 T x MXene (LTO-MX) composite was synthesized through etching and alkali processes, and subsequently immobilized using polyacrylonitrile (PAN) polymer via a phase inversion method. In the batch study, the strontium adsorption behavior followed the Redlich -Peterson isotherm and the pseudosecond -order kinetic models. The maximum adsorption capacity for strontium reached 24.05 mg/g. Furthermore, a continuous fixed -bed column study was performed using the LTO-MX PAN beads to remove strontium from aqueous solutions. The dynamic behavior of column adsorption was examined under various operating parameters such as initial strontium concentration, flow rate, and bed height. Dynamic modeling was employed to describe adsorption breakthrough properties based on these experimental data. Both the Thomas and YoonNelson models accurately simulated the breakthrough curves. The proposed mechanisms for strontium adsorption included encapsulation, electrostatic attraction, cation exchange, and surface complexation. These results demonstrate the effectiveness of LTO-MX PAN beads as adsorbents for the continuous removal of strontium from radioactive wastewater. | Lim, Youngsu; Lee, Dae Sung | Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea | 57207112603; 55568524907 | daesung@knu.ac.kr; | JOURNAL OF HAZARDOUS MATERIALS | J HAZARD MATER | 0304-3894 | 1873-3336 | 475 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 2.29 | 2025-05-07 | 12 | 14 | Strontium; Lithium titanate; Polyacrylonitrile; Adsorption; Fixed-bed column | FIXED-BED COLUMN; COMPETITIVE ADSORPTION; ITACONIC ACID; LEAD; NANOCOMPOSITES; ENHANCEMENT; COMPOSITES; ADSORBENTS; BEHAVIOR; BLUE | Adsorption; Fixed-bed column; Lithium titanate; Polyacrylonitrile; Strontium | Etching; Lithium compounds; Radioactivity; Strontium compounds; adsorbent; alkali; ground water; inorganic compound; lithium; polyacrylonitrile; polymer; radioisotope; sea water; strontium; titanate; unclassified drug; Adsorption behaviour; Batch studies; Fixed bed columns; Lithium titanate; Phase-inversion method; Pseudo-second-order kinetic models; Radioactive strontium; Redlich-Peterson isotherms; Strontium removal; Synthesised; adsorption; composite; isotherm; pollutant removal; polymer; radionuclide; reaction kinetics; strontium; adsorption; adsorption kinetics; aqueous solution; Article; attenuated total reflectance Fourier transform infrared spectroscopy; cation exchange; chemical structure; complex formation; controlled study; encapsulation; energy dispersive X ray spectroscopy; flow rate; Fourier transform infrared spectroscopy; immobilization; isotherm; kinetics; pH; pore size distribution; radioactive waste; radioactive wastewater; reaction time; scanning electron microscopy; simulation; synthesis; temperature; thermodynamics; thermogravimetry; thermostability; X ray diffraction; X ray photoemission spectroscopy; article; isotherm; pharmaceutics; Adsorption | English | 2024 | 2024-08-15 | 10.1016/j.jhazmat.2024.134919 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Enhancing electrical conductivity of RuO2 nanosheet-coated films by enlarging the nanosheet area | This study focused on enhancing the electrical conductivity of metal oxide nanosheet films by increasing the size of the nanosheets to promote the electron flow in the desired in-plane direction. We developed a method for increasing the size of RuO2 metal oxide nanosheets, a 2D material, by controlling the heat-treatment process. The size of the RuO2 nanosheets increased from 0.7 to 3.5 mu m by modifying the heat-treatment conditions of KxRuO2, which was used as the precursor material. As a consequence, the electrical conductivity of the large-sized-RuO2 nanosheet-coated films was eight times higher than that of their small-sized counterparts. This lower resistance was attributed to the minimal number of contacts required for electron flow; the contact resistance between the nanosheets being higher than the intrinsic resistance. The proposed approach for enhancing the conductivity of metal oxide 2D materials is very promising and is expected to significantly contribute to the development of advanced flexible electronic devices. | Jung, Doh Won; Kwak, Chan; Park, Hee Jung; Shin, Weon Ho; Kim, Hyun Sik; Roh, Jong Wook; Hwang, Sungwoo; Lee, Jongmin; Lee, Kimoon; Jung, Changhoon; Ko, Dong-Su; Kim, Se Yun | Samsung Adv Inst Technol, Energy Solut TU, Suwon 16678, South Korea; Wonik Mat Co Ltd, Cheongju 28116, South Korea; Dankook Univ, Dept Mat Sci & Engn, Cheonan 31116, South Korea; Kwangwoon Univ, Dept Elect Mat Engn, Seoul 01897, South Korea; Univ Seoul, Dept Mat Sci & Engn, Seoul 02504, South Korea; Kyungpook Natl Univ, Sch Nano & Mat Sci & Engn, Sangju 37224, South Korea; Samsung Adv Inst Technol, Synth TU, Suwon 16678, South Korea; Samsung Adv Inst Technol, Ecofriendly Convers TU, Suwon 16678, South Korea; Kunsan Natl Univ, Dept Phys, Gunsan 54150, South Korea; Samsung Adv Inst Technol, Analyt Engn Grp, Suwon 16678, South Korea; Gyeongsang Natl Univ, Dept Mat Engn & Convergence Technol, Jinju 52828, South Korea | Kim, Seung/N-5248-2019; Ko, Dong-Su/AAZ-5644-2020; Kim, Sung/A-4747-2013 | 12804624000; 57193904846; 7601568847; 57204152565; 56526077500; 25638796100; 57208461223; 57204464367; 57222518881; 55747781500; 25641304500; 57203210313 | ds02.ko@samsung.com;seyun@gnu.ac.kr; | ALEXANDRIA ENGINEERING JOURNAL | ALEX ENG J | 1110-0168 | 2090-2670 | 107 | SCIE | ENGINEERING, MULTIDISCIPLINARY | 2024 | 6.8 | 4.9 | 0.39 | 2025-05-07 | 1 | 1 | RuO2; Nanosheets; Transparent electrode; Electrical transport; Density functional theory | CHEMICAL-VAPOR-DEPOSITION; EXFOLIATION; RUTHENATE; BEHAVIOR; GROWTH; MONO | Density functional theory; Electrical transport; Nanosheets; RuO<sub>2</sub>; Transparent electrode | Flexible electronics; Nanosheets; Oxide films; Ruthenium compounds; Transparent electrodes; Coated films; Density-functional-theory; Electrical conductivity; Electrical transport; Electron flow; In-plane direction; Metal oxide nanosheets; Nanosheet films; RuO 2; Transparent electrode; Nanoclay | English | 2024 | 2024-11 | 10.1016/j.aej.2024.09.014 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Experimental analysis and prediction of radionuclide solubility using machine learning models: Effects of organic complexing agents | Radioactive wastes contain organic complexing agents that can form complexes with radionuclides and enhance the solubility of these radionuclides, increasing the mobility of radionuclides over great distances from a radioactive waste repository. In this study, four radionuclides (cobalt, strontium, iodine, and uranium) and three organic complexing agents (ethylenediaminetetraacetic acid, nitrilotriacetic acid, and iso-saccharic acid) were selected, and the solubility of these radionuclides was assessed under realistic environmental conditions such as different pHs (7, 9, 11, and 13), temperatures (10 degrees C, 20 degrees C, and 40 degrees C), and organic complexing agent concentrations (10- 5-10- 2 M). A total of 720 datasets were generated from solubility batch experiments. Four supervised machine learning models such as the Gaussian process regression (GPR), ensemble-boosted trees, artificial neural networks, and support vector machine were developed for predicting the radionuclide solubility. Each ML model was optimized using Bayesian optimization algorithm. The GPR evolved as a robust model that provided accurate predictions within the underlying solubility patterns by capturing the intricate relationships of the independent parameters of the dataset. At an uncertainty level of 95%, both the experimental results and GPR simulated estimations were closely correlated, confirming the suitability of the GPR model for future explorations. | Kim, Bolam; Manchuri, Amaranadha Reddy; Oh, Gi-Taek; Lim, Youngsu; Son, Yuhwa; Choi, Seho; Kang, Myunggoo; Jang, Jiseon; Ha, Jaechul; Cho, Chun-Hyung; Lee, Min-Woo; Lee, Dae Sung | Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea; Keimyung Univ, Dept Chem Engn, 1095 Dalgubeol Daero, Daegu 42601, South Korea; Korea Radioact Waste Agcy, LILW Technol Team, 19 Chunghyochun Gil, Gyeongju Si 38062, Gyeongsangbug D, South Korea; Korea Radioact Waste Agcy, HLW Technol Dev Inst, 174 Gajeong Ro, Daejeon 34129, South Korea | ; Manchuri, Amaranadha Reddy/J-3982-2016 | 57208922438; 58343647900; 57641036600; 57207112603; 57221777488; 58771203700; 57254598100; 56611137400; 57221775357; 57220796131; 58770990800; 55568524907 | daesung@knu.ac.kr; | JOURNAL OF HAZARDOUS MATERIALS | J HAZARD MATER | 0304-3894 | 1873-3336 | 469 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 0.86 | 2025-05-07 | 4 | 4 | Radionuclide solubility; Organic complexing agents; Radioactive waste repository; Gaussian process regression; Machine learning | SUPPORT VECTOR REGRESSION; THERMODYNAMIC DESCRIPTION; COMPLEXATION; DEGRADATION; CELLULOSE | Gaussian process regression; Machine learning; Organic complexing agents; Radioactive waste repository; Radionuclide solubility | Ethylenediaminetetraacetic acid; Forecasting; Gaussian distribution; Gaussian noise (electronic); Learning systems; Radioactive wastes; Radioactivity; Radioisotopes; Support vector machines; cobalt; edetic acid; iodine; nitrilotriacetic acid; radioisotope; saccharic acid; strontium; uranium; Complexing agents; Experimental analysis; Gaussian process regression; Machine learning models; Machine-learning; Modeling effects; Organic complexing agent; Organics; Radioactive waste repository; Radionuclide solubility; environmental conditions; ground penetrating radar; machine learning; radioactive waste; radionuclide; support vector machine; Article; artificial neural network; machine learning; nonhuman; radioactive waste; radioactive waste disposal; supervised machine learning; support vector machine; temperature; algorithm; article; controlled study; prediction; simulation; solubility; Solubility | English | 2024 | 2024-05-05 | 10.1016/j.jhazmat.2024.134012 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Exploiting Screen-Touch Trajectory for Passive User Authentication in Industrial Internet of Things Systems | This article exploits the spatial-temporal features of user screen-touch trajectory (STT) to develop a user authentication framework for Industrial Internet of Things (IIoT) systems. We first model the STT as a trajectory image and apply the speeded-up robust features (SURF) algorithm for STT spatial feature characterization. We then model the STT as a time series and employ the hidden Markov model (HMM) for the STT temporal feature extraction. We further design a classifier based on HMM for the above temporal feature and also a classifier based on eXtreme Gradient Boosting for the spatial feature. By combining the two classifiers and assigning each classifier an appropriate weight, we develop a passive user authentication framework. The new framework has the potential to significantly impact the IIoT security practices by offering a flexible and efficient authentication method for IIoT systems, and it also can serve as a complementary solution or an enhancement for the traditional authentication mechanism of such systems. | Zhao, Guozhu; Zhang, Pinchang; Shen, Yulong; Peng, Limei; Jiang, Xiaohong | Chuzhou Univ, Sch Comp & Informat Engn, Chuzhou 239000, Anhui, Peoples R China; Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210028, Jiangsu, Peoples R China; Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China; Xidian Univ, Sch Comp Sci, Xian 710071, Shaanxi, Peoples R China; Kyungpook Natl Univ, Daegu 37224, South Korea; Future Univ Hakodate, Sch Syst Informat Sci, Hakodate, Hokkaido 0418655, Japan | Zhang, Pinchang/AAX-8326-2020; Zhao, Guozhu/GLS-8929-2022 | 57191480004; 57191518819; 8537823200; 7201574271; 7404627101 | zpc@njupt.edu.cn; | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | IEEE T IND INFORM | 1551-3203 | 1941-0050 | 20 | 7 | SCIE | AUTOMATION & CONTROL SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;ENGINEERING, INDUSTRIAL | 2024 | 9.9 | 4.9 | 0 | 2025-04-16 | 1 | 1 | Industrial Internet of Things (IIoT) security; passive authentication; screen-touch trajectory (STT); spatial-temporal features | ALGORITHM | Industrial Internet of Things (IIoT) security; passive authentication; screen-touch trajectory (STT); spatial–temporal features | Authentication; Classification (of information); Extraction; Feature extraction; Hidden Markov models; Internet of things; Trajectories; Biometric (access control); Features extraction; Hidden-Markov models; Industrial internet of thing; Industrial internet of thing security; Passive authentication; Screen-touch trajectory; Shape; Spatial-temporal features; User authentication; Touch screens | English | 2024 | 2024-07 | 10.1109/tii.2024.3379643 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Increases in Global and East Asian Nitrogen Trifluoride (NF3) Emissions Inferred from Atmospheric Observations | Nitrogen trifluoride (NF3) is a potent and long-lived greenhouse gas that is widely used in the manufacture of semiconductors, photovoltaic cells, and flat panel displays. Using atmospheric observations from eight monitoring stations from the Advanced Global Atmospheric Gases Experiment (AGAGE) and inverse modeling with a global 3-D atmospheric chemical transport model (GEOS-Chem), we quantify global and regional NF3 emission from 2015 to 2021. We find that global emissions have grown from 1.93 +/- 0.58 Gg yr(-1) (+/- one standard deviation) in 2015 to 3.38 +/- 0.61 Gg yr(-1) in 2021, with an average annual increase of 10% yr(-1). The available observations allow us to attribute significant emissions to China (0.93 +/- 0.15 Gg yr(-1) in 2015 and 1.53 +/- 0.20 Gg yr(-1) in 2021) and South Korea (0.38 +/- 0.07 Gg yr-1 to 0.65 +/- 0.10 Gg yr(-1)). East Asia contributes around 73% of the global NF3 emission increase from 2015 to 2021: approximately 41% of the increase is from emissions from China (with Taiwan included), 19% from South Korea, and 13% from Japan. For Japan, which is the only one of these three countries to submit annual NF3 emissions to UNFCCC, our bottom-up and top-down estimates are higher than reported. With increasing demand for electronics, especially flat panel displays, emissions are expected to further increase in the future. | Liu, Yu; Sheng, Jianxiong; Rigby, Matthew; Ganesan, Anita; Kim, Jooil; Western, Luke M.; Muehle, Jens; Park, Sunyoung; Park, Hyeri; Weiss, Ray F.; Salameh, Peter K.; O'Doherty, Simon; Young, Dickon; Krummel, Paul B.; Vollmer, Martin K.; Reimann, Stefan; Lunder, Chris R.; Prinn, Ronald G. | MIT, Ctr Global Change Sci, Cambridge, MA 02139 USA; Univ Bristol, Sch Biochem, Bristol BS8 1SA, England; Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, England; Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA; Kyungpook Natl Univ, Dept Oceanog, Daegu 41566, South Korea; CSIRO Environm, Aspendale, Vic 3195, Australia; Empa, Lab Air Pollut Environm Technol, Swiss Fed Labs Mat Sci & Technol, CH-8600 Dubendorf, Switzerland; NILU Norwegian Inst Air Res, Dept Atmospher & Climate Res, N-2007 Kjeller, Norway | ; Krummel, Paul/A-4293-2013; Reimann, Stefan/A-2327-2009; Rigby, Matthew/A-5555-2012; Young, Dickon/AFO-7065-2022; Ganesan, Anita/D-6230-2016; Sheng, Jianxiong/U-5339-2019 | 59226505300; 55934940500; 38762109000; 35770554200; 36142937600; 56730761600; 55917306500; 57085459500; 57217629478; 7404027402; 6602378882; 57120195000; 22837436400; 6602579613; 56668474200; 7006466341; 15835085000; 7005942405 | yuliu223@mit.edu;rprinn@mit.edu; | ENVIRONMENTAL SCIENCE & TECHNOLOGY | ENVIRON SCI TECHNOL | 0013-936X | 1520-5851 | 58 | 30 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 0.25 | 2025-05-07 | 1 | 1 | nitrogen trifluoride; GEOS-Chem; AGAGE; top-down; globaland regional NF3 emission | HISTORY; GASES | AGAGE; GEOS-Chem; global and regional NF<sub>3</sub> emission; nitrogen trifluoride; top-down | Atmospheric chemistry; Atmospheric movements; Flat panel displays; Inverse problems; Photoelectrochemical cells; Advanced global atmospheric gas experiment; Atmospheric gas; Atmospheric observations; Experiment modeling; GEOS-chem; Global and regional NF3 emission; Greenhouses gas; Monitoring stations; South Korea; Topdown; Greenhouse gases | English | 2024 | 2024-07-15 | 10.1021/acs.est.4c04507 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Microplastic accumulation dynamics in Han river headwaters: Sediment interactions and environmental implication | The prevalence of microplastic (MP) contamination has become a significant environmental concern due to its pervasive nature and persistent effects. While sediments are considered major repositories for MPs, information on their spatial distribution within these matrices is insufficient. This research examined both the horizontal and vertical presence of MPs in the sediments surrounding Lake Paldang in South Korea, alongside a comprehensive evaluation of the physicochemical characteristics of the samples obtained. The total content of MPs varied from 2.15 to 122.2 particles g -1 . The average contents of MPs on surface sediments were 40.47, 34.14, 5.01, and 8.19 particles g -1 in north mainstream (NM), south mainstream (SM), tributary (TB), and Tributary catchment (TC) based on Sonae Island, Gyeongan stream, respectively. The most abundant MP types were polyethylene (PE), polytetrafluoroethylene (PTFE), and polypropylene (PP), accounting for more than 70% of the total MPs. The most abundant sizes of MPs were within 45 -100 mu m. At all sediment depths, polymers were distributed in the order PE, PP, and polyester in NM, SM, and TC, respectively, whereas PTFE mainly occurred in the surface layer. MPs distribution also exhibited seasonal variation as larger inflows and flow rates varied with season. | Cho, Yunseo; Jeon, Hwang-Ju; Lee, Sung-Eun; Kim, Chaeeun; Kim, Gyuwon; Kim, Kyeongnam; Kim, Young-Kwan; Lee, Sang-Ryong | Dongguk Univ, Dept Biol & Environm Sci, Aerosoil Lab, Goyang 10326, South Korea; Louisiana State Univ, Sch Plant Environm & Soil Sci, Red River Res Stn, AgCenter, Bossier City, LA 71112 USA; Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Kyungpook Natl Univ, Inst Qual & Safety Evaluat Agr Prod, Daegu 41566, South Korea; Dongguk Univ, Dept Chem, Sustainable Nanochem Lab, Seoul 10326, South Korea | Lee, Sang-Ryong/C-2167-2017; Jeon, Hwangju/JDW-9035-2023; Kim, Young Kwan/ISA-5450-2023; Kim, Kyeongnam/KSM-2719-2024 | 57233459400; 56328792200; 55890041600; 57200245142; 58790188200; 57191364349; 58417241600; 57191419414 | leesang@dongguk.edu; | JOURNAL OF HAZARDOUS MATERIALS | J HAZARD MATER | 0304-3894 | 1873-3336 | 472 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 1.43 | 2025-05-07 | 3 | 5 | Microplastics; Sediment; Distribution; Depth; Polyethylene; Lake Paldang | PARTICLES; TRANSPORT; CHEMICALS; SEA | Depth; Distribution; Lake Paldang; Microplastics; Polyethylene; Sediment | China; Han River [Hubei-Shaanxi]; Kyonggi; Paldang Lake; South Korea; Catchments; Microplastic; Polyethylenes; Polypropylenes; Sediments; microplastic; polyester; polyethylene; polymer; polypropylene; polytetrafluoroethylene; polyethylene; Depth; Distribution; Environmental concerns; Environmental implications; Han river; Head waters; Lake paldang; matrix; Microplastics; South Korea; environmental fate; headwater; lake pollution; physicochemical property; plastic; polymer; sediment pollution; Article; catchment area (hydrology); flow rate; physical chemistry; river; season; seasonal variation; sediment; South Korea; article; lake; nonhuman; pharmaceutics; prevalence; Lakes | English | 2024 | 2024-07-05 | 10.1016/j.jhazmat.2024.134445 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Numerical study on the internal ventilation of the engine room of a ship under construction | Manual welding operations are performed inside the engine room of a liquefied natural gas carrier under construction. The welders are at risk of exposure to welding fumes in case of poor ventilation. Therefore, ventilation fans are installed at shipbuilding sites to improve indoor air quality. Although ensuring the respiratory health of welders is important, studies focusing on ventilation in the ship engine room have not been conducted. Therefore, the ventilation efficiency was evaluated herein based on the placement of ventilation fans to alleviate air stagnation using a computational fluid dynamic (CFD) model operating on Fluent. The mean age of air (MAA) was computed to assess the ventilation efficiency. In addition, particles with size and physical properties similar to welding fumes were sourced assuming 30 welders in the engine room. Results revealed that ventilation fan and/or exhaust in enclosed spaces contributes significantly to alleviating the MAA level. MAA and particle distribution did not correlate well due to the different properties of air and the iron oxide particle. Therefore, to determine the optimal ventilation fan displacement, particle motion should be studied along with performing MAA analysis. The proposed CFD model potentially guides to improvement of the working environments and respiratory health of welders. | Park, Sujin; Kim, Munho; Seo, Jungmin; Choi, Sanghun | Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Hanwha Ocean Co, Ind Applicat R&D Inst, Geoje, South Korea | 59134341400; 57948529200; 56349169200; 55847101000 | s-choi@knu.ac.kr; | ALEXANDRIA ENGINEERING JOURNAL | ALEX ENG J | 1110-0168 | 2090-2670 | 100 | SCIE | ENGINEERING, MULTIDISCIPLINARY | 2024 | 6.8 | 4.9 | 0.39 | 2025-05-07 | 2 | 2 | Welding fume; Air quality; Computational fluid dynamics (CFD); Mean age of air (MAA); Particle transport | HEALTH-HAZARDS; WELDING FUMES; SIMULATION | Air quality; Computational fluid dynamics (CFD); Mean age of air (MAA); Particle transport; Welding fume | Air; Air quality; Efficiency; Indoor air pollution; Iron oxides; Particle size analysis; Ships; Ventilation; Computational fluid dynamic; Computational fluid dynamics modeling; Engine rooms; Mean age of air; Particle transport; Ventilation efficiency; Ventilation fans; Welding fumes; Welding operations; Computational fluid dynamics | English | 2024 | 2024-08 | 10.1016/j.aej.2024.05.031 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Particulate matter-induced metabolic recoding of epigenetics in macrophages drives pathogenesis of chronic obstructive pulmonary disease | Chronic obstructive pulmonary disease (COPD) is a group of illnesses associated with unresolved inflammation in response to toxic environmental stimuli. Persistent exposure to PM is a major risk factor for COPD, but the underlying mechanism remains unclear. Using our established mouse model of PM-induced COPD, we find that repeated PM exposure provokes macrophage-centered chronic inflammation and COPD development. Mechanistically, chronic PM exposure induces transcriptional downregulation of HAAO, KMO, KYNU, and QPRT in macrophages, which are the enzymes of de novo NAD+ synthesis pathway (kynurenine pathway; KP), via elevated chromatin binding of the CCCTC-binding factor (CTCF) near the transcriptional regulatory regions of the enzymes. Subsequent reduction of NAD+ and SIRT1 function increases histone acetylation, resulting in elevated expression of pro-inflammatory genes in PM-exposed macrophages. Activation of SIRT1 by nutraceutical resveratrol mitigated PM-induced chronic inflammation and COPD development. In agreement, increased levels of histone acetylation and decreased expression of KP enzymes were observed in pulmonary macrophages of COPD patients. We newly provide an evidence that dysregulated NAD+ metabolism and consecutive SIRT1 deficiency significantly contribute to the pathological activation of macrophages during PM-mediated COPD pathogenesis. Additionally, targeting PM-induced intertwined metabolic and epigenetic reprogramming in macrophages is an effective strategy for COPD treatment. | Noh, Myungkyung; Sim, Jeong Yeon; Kim, Jisung; Ahn, Jee Hwan; Min, Hye-Young; Lee, Jong-Uk; Park, Jong-Sook; Jeong, Ji Yun; Lee, Jae Young; Lee, Shin Yup; Lee, Hyo-Jong; Park, Choon-Sik; Lee, Ho-Young | Seoul Natl Univ, Coll Pharm, Creat Res Initiat, Ctr Concurrent Control Emphysema & Lung Canc, Seoul 08826, South Korea; Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Mol Med & Biopharmaceut Sci, Seoul 08826, South Korea; Seoul Natl Univ, Coll Pharm, Seoul 08826, South Korea; Seoul Natl Univ, Nat Prod Res Inst, Seoul 08826, South Korea; Soonchunhyang Univ, Grad Sch, Dept Med Biosci, 22 Soonchunhyang Ro, Asan 31538, South Korea; Soonchunhyang Univ, Bucheon Hosp, Bucheon Si 14584, Gyeonggi Do, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Pathol, Daegu 41944, South Korea; Kyungpook Natl Univ, Chilgok Hosp, Sch Med, Dept Internal Med,Lung Canc Ctr, Daegu 41404, South Korea; Ajou Univ, Dept Environm & Safety Engn, Suwon 16499, South Korea; Sungkyunkwan Univ, Sch Pharm, Suwon 16419, Gyeonggi Do, South Korea; Seoul Natl Univ, Res Inst Pharmaceut Sci, Seoul 08826, South Korea | Lee, Jongseung/AER-7002-2022; lee, wj/JNR-4926-2023 | 56443677300; 57217038477; 58723950000; 57221346136; 56564751200; 57215649221; 56135326200; 57205472984; 57217999869; 49863712700; 57092922800; 7408415097; 57049822900 | hylee135@snu.ac.kr; | JOURNAL OF HAZARDOUS MATERIALS | J HAZARD MATER | 0304-3894 | 1873-3336 | 464 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 1.72 | 2025-05-07 | 6 | 7 | Particulate matter; COPD; Chronic inflammation; Macrophage; Histone acetylation; SIRT activity | DIESEL EXHAUST PARTICLES; INTEGRATIVE ANALYSIS; GENE-EXPRESSION; RISK-FACTORS; IN-VIVO; INFLAMMATION; COPD; FINE; PROTEIN; NAD(+) | Chronic inflammation; COPD; Histone acetylation; Macrophage; NAD<sup>+</sup> metabolism; Particulate matter; SIRT activity | Animals; Epigenesis, Genetic; Histones; Humans; Inflammation; Macrophages; Mice; NAD; Particulate Matter; Pulmonary Disease, Chronic Obstructive; Sirtuin 1; Acetylation; Chemical activation; Enzymes; Macrophages; Particles (particulate matter); Pathology; Pulmonary diseases; CD11b antigen; CD4 antigen; CD68 antigen; CD8 antigen; histone H2AX; matrix metalloproteinase; messenger RNA; mucin 1; myeloperoxidase; nicotinamide adenine dinucleotide; reduced nicotinamide adenine dinucleotide; resveratrol; sirtuin 1; transcription factor CTCF; transcriptome; histone; nicotinamide adenine dinucleotide; sirtuin 1; Chronic inflammation; Chronic obstructive pulmonary disease; Disease development; Epigenetics; Histone acetylation; NAD +; NAD+ metabolism; Particulate Matter; Recoding; SIRT activity; chronic obstructive pulmonary disease; induced response; metabolism; particulate matter; risk factor; animal cell; animal experiment; animal model; animal tissue; Article; chronic inflammation; chronic obstructive lung disease; controlled study; down regulation; epigenetics; female; gene expression regulation; histone acetylation; human; human tissue; immunocompetent cell; long term exposure; lung alveolus macrophage; lung parenchyma; M1 macrophage; M2 macrophage; macrophage activation; male; metabolic regulation; mouse; nonhuman; particulate matter; pathogenesis; signal transduction; transcription regulation; upregulation; animal; chronic obstructive lung disease; genetic epigenesis; genetics; inflammation; macrophage; metabolism; Metabolism | English | 2024 | 2024-02-15 | 10.1016/j.jhazmat.2023.132932 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Privacy-Preserving Electronic Medical Record Sharing for IoT-Enabled Healthcare System Using Fully Homomorphic Encryption, IOTA, and Masked Authenticated Messaging | A significant evolution in healthcare recently uses technological advancements to perform different activities, such as patient electronic medical records (EMRs) data gathering, preserving, processing, diagnosis, and handling. The adaptation of the Internet of Things (IoT) and cloud has further facilitated the enhancement of related healthcare systems, which can considerably improve data connectivity, accessibility, and exchange, which leads to a significant improvement in the quality of services to patients. Furthermore, scientific computations over data in transmission can be exposed to adversaries and may reveal private data for financial benefit. This article uses the Cheon-Kim-Kim-Song fully homomorphic encryption scheme and IOTA Tangle using masked authenticated messaging (MAM) protocol to provide secure communication between patient and doctor. CKKS-FHE-based data encryption provides data privacy, and secured EMRs sharing through IOTA Tangle guarantees data confidentiality. The performance of this work is analyzed in terms of encryption and decryption time, and payload sharing using MAM and NON-MAM protocols results in evidence of the effectiveness of the approach and improves overall security. The proposed scheme performs better overall computation time and performance than other relevant schemes. Further, the security analysis shows that the proposed system is resilient to data immutability and integrity, forward secrecy, and passive and active attacks. | Reddi, Sivaranjani; Rao, Patruni Muralidhara; Saraswathi, Pedada; Jangirala, Srinivas; Das, Ashok Kumar; Jamal, Sajjad Shaukat; Park, Youngho | Raghu Engn Coll, Visakhapatnam 531162, Andhra Pradesh, India; Woxsen Univ, Sch Technol, Hyderabad 502345, Telangana, Pakistan; GITAM Univ, GITAM Sch Technol, Visakhapatnam 530045, Andhra Pradesh, India; O P Jindal Global Univ, Jindal Global Business Sch, Sonipat 131001, Haryana, India; Int Inst Informat Technol, Ctr Secur Theory & Algorithm Res, Hyderabad 500032, Telangana, India; King Khalid Univ, Coll Sci, Dept Math, Abha 61413, Saudi Arabia; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | Jamal, Sajjad/AHE-6498-2022; Reddi, Sivaranjani/AAY-7019-2020; Jangirala, Srinivas/AGP-1572-2022; Patruni, Dr. Muralidhara Rao/AAC-9239-2019; , sivaranjani/JVO-9646-2024; Das, Ashok Kumar/U-2790-2019 | 57194164734; 57801867800; 57481323200; 57192372562; 55450732800; 57198092048; 56962990300 | sivaranjani.reddi@raghuenggcollege.in;muralidhar.patruni@woxsen.edu.in;spedada@gitam.edu;sjangirala@jgu.edu.in;iitkgp.akdas@gmail.com;shussain@kku.edu.sa;parkyh@knu.ac.kr; | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | IEEE T IND INFORM | 1551-3203 | 1941-0050 | 20 | 9 | SCIE | AUTOMATION & CONTROL SYSTEMS;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS;ENGINEERING, INDUSTRIAL | 2024 | 9.9 | 4.9 | 2.3 | 2025-04-16 | 7 | 10 | Medical services; Security; Protocols; Blockchains; Sensors; Privacy; Homomorphic encryption; Distributed ledger technologies; fully homomorphic encryption; healthcare; Internet of Things (IoT); IOTA tangle; security | BLOCKCHAIN | Distributed ledger technologies; fully homomorphic encryption; healthcare; Internet of Things (IoT); IOTA tangle; security | Blockchain; Diagnosis; Distributed ledger; Health care; Medical computing; Network security; Privacy-preserving techniques; Block-chain; Distributed ledg technology; Fully homomorphic encryption; Healthcare; Ho-momorphic encryptions; Homomorphic-encryptions; Internet of thing; IOTA tangle; Medical services; Privacy; Security; Internet of things | English | 2024 | 2024-09 | 10.1109/tii.2024.3397343 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Review | Quorum Quenching in Membrane Bioreactors for Fouling Retardation: Complexity Provides Opportunities | The occurrence of biofouling restricts the widespread application of membrane bioreactors (MBRs) in wastewater treatment. Regulation of quorum sensing (QS) is a promising approach to control biofouling in MBRs, yet the underlying mechanisms are complex and remain to be illustrated. A fundamental understanding of the relationship between QS and membrane biofouling in MBRs is lacking, which hampers the development and application of quorum quenching (QQ) techniques in MBRs (QQMBRs). While many QQ microorganisms have been isolated thus far, critical criteria for selecting desirable QQ microorganisms are still missing. Furthermore, there are inconsistent results regarding the QQ lifecycle and the effects of QQ on the physicochemical characteristics and microbial communities of the mixed liquor and biofouling assemblages in QQMBRs, which might result in unreliable and inefficient QQ applications. This review aims to comprehensively summarize timely QQ research and highlight the important yet often ignored perspectives of QQ for biofouling control in MBRs. We consider what this "information" can and cannot tell us and explore its values in addressing specific and important questions in QQMBRs. Herein, we first examine current analytical methods of QS signals and discuss the critical roles of QS in fouling-forming microorganisms in MBRs, which are the cornerstones for the development of QQ technologies. To achieve targeting QQ strategies in MBRs, we propose the substrate specificity and degradation capability of isolated QQ microorganisms and the surface area and pore structures of QQ media as the critical criteria to select desirable functional microbes and media, respectively. To validate the biofouling retardation efficiency, we further specify the QQ effects on the physicochemical properties, microbial community composition, and succession of mixed liquor and biofouling assemblages in MBRs. Finally, we provide scale-up considerations of QQMBRs in terms of the debated QQ lifecycle, practical synergistic strategies, and the potential cost savings of MBRs. This review presents the limitations of classic QS/QQ hypotheses in MBRs, advances the understanding of the role of QS/QQ in biofouling development/retardation in MBRs, and builds a bridge between the fundamental understandings and practical applications of QQ technology. | Xu, Boyan; Su, Qingxian; Yang, Yuxin; Huang, Shujuan; Yang, Yue; Shi, Xueqing; Choo, Kwang-Ho; Ng, How Yong; Lee, Chung-Hak | Beijing Normal Univ, Adv Inst Nat Sci, Ctr Water Res, Zhuhai 519087, Peoples R China; Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117576, Singapore; Qingdao Univ Technol, Sch Environm & Municipal Engn, Qingdao 266033, Peoples R China; TUV SUD, Corp Sustainabil Off, D-80686 Munich, Germany; Kyungpook Natl Univ, Dept Environm Engn, Daegu 702701, South Korea; Seoul Natl Univ, Sch Chem & Biol Engn, Seoul 08826, South Korea; Tech Univ Denmark, Dept Environm Engn, DK-2800 Lyngby, Denmark | Su, Qingxian/AIC-5976-2022; Choo, Kwang-Ho/A-3456-2016; Ng, How Yong/A-3153-2013; Yang, Yuxin/M-8097-2018 | 57211539035; 57194699087; 58990092200; 57201072692; 59224257800; 37110135800; 7102083272; 8566852400; 7410142508 | suqingxian1990@hotmail.com;huanghy@bnu.edu.cn; | ENVIRONMENTAL SCIENCE & TECHNOLOGY | ENVIRON SCI TECHNOL | 0013-936X | 1520-5851 | 58 | 30 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 1.05 | 2025-05-07 | 11 | 11 | biofilm; quorumsensing; acyl homoserine lactones; soluble microbialproducts; extracellular polymericsubstances; life cycle assessment | WASTE-WATER TREATMENT; EXTRACELLULAR POLYMERIC SUBSTANCES; SOLUBLE MICROBIAL PRODUCTS; ACYL HOMOSERINE LACTONE; BIOFOULING CONTROL; BACTERIAL CONSORTIUM; ACTIVATED-SLUDGE; SIGNAL MOLECULES; BIOFILM; MBR | acyl homoserine lactones; biofilm; extracellular polymeric substances; life cycle assessment; quorum sensing; soluble microbial products | Biodegradation; Bioreactors; Microorganisms; Physicochemical properties; Pore structure; Quenching; Wastewater treatment; n acylhomoserine lactone; Acyl homoserine lactone; Extracellular; Extracellular polymeric substance; Homoserine lactones; Life cycle assessment; Polymeric substance; Quenching technology; Quorum quenching; Quorum-sensing; Soluble microbial products; analytic method; biofilm; biofouling; cost control; enzyme specificity; growth retardation; life cycle assessment; membrane; membrane reactor; microbial community; nonhuman; pharmaceutics; physical chemistry; polymerization; quorum quenching; quorum sensing; review; scale up; surface area; waste water management; Life cycle | English | 2024 | 2024-07-16 | 10.1021/acs.est.4c04535 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | TL-ABKS: Traceable and lightweight attribute-based keyword search in edge-cloud assisted IoT environment | Edge-cloud coordination offers the chance to mitigate the enormous storage and processing load brought on by a massive increase in traffic at the network's edge. Though this paradigm has benefits on a large scale, outsourcing the sensitive data from the smart devices deployed in an Internet of Things (IoT) application may lead to privacy leakage. With an attribute-based keyword search (ABKS), the search over ciphertext can be achieved; this reduces the risk of sensitive data explosion. However, ABKS has several issues, like huge computational overhead to perform multi-keyword searches and tracing malicious users. To address these issues and enhance the performance of ABKS, we propose a novel traceable and lightweight attribute-based keyword search technique in an Edge-cloud-assisted IoT, named TL-ABKS, using edge-cloud coordination. With TL-ABKS, it is possible to do effective multi-keyword searches and implement fine-grained access control. Further, TL-ABKS outsources the encryption and decryption computation to edge nodes to enable its usage to resource-limited IoT smart devices. In addition, TL-ABKS achieves tracing user identity who misuse their secret keys. TL-ABKS is secure against modified secret keys, chosen plaintext, and chosen keyword attacks. By comparing the proposed TL-ABKS with the current state-of-the-art schemes, and conducting a theoretical and experimental evaluation of its performance and credibility, TL-ABKS is efficient. | Varri, Uma Sankararao; Mallick, Debjani; Das, Ashok Kumar; Hossain, M. Shamim; Park, Youngho; Rodrigues, Joel J. P. C. | SRM Univ AP, Dept Comp Sci & Engn, Amaravathi, Andhra Pradesh, India; Int Inst Informat Technol, Ctr Secur Theory & Algorithm Res, Hyderabad 500032, India; Korea Univ, Coll Informat, Dept Comp Sci & Engn, Seoul 02841, South Korea; King Saud Univ, Coll Comp & Informat Sci, Dept Software Engn, Riyadh 12372, Saudi Arabia; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Amazonas State Univ, Manaus, AM, Brazil | Hossain, M./K-1362-2014; Das, Ashok/ADT-4705-2022; Rodrigues, Joel/A-8103-2013 | 57211915720; 59322848700; 55450732800; 24066717900; 56962990300; 25930566300 | umasankararao.v@srmap.edu.in;debjani.mallick@research.iiit.ac.in;ashok.das@iiit.ac.in;mshossain@ksu.edu.sa;parkyh@knu.ac.kr;joeljr@ieee.org; | ALEXANDRIA ENGINEERING JOURNAL | ALEX ENG J | 1110-0168 | 2090-2670 | 107 | SCIE | ENGINEERING, MULTIDISCIPLINARY | 2024 | 6.8 | 4.9 | 0.39 | 2025-05-07 | 2 | 2 | Internet of Things (IoT); Attribute-based keyword search; Multi-keyword search; Traceability; Edge computing; Cloud computing; Security | ENCRYPTION SCHEME; INTERNET | Attribute-based keyword search; Cloud computing; Edge computing; Internet of Things (IoT); Multi-keyword search; Security; Traceability | Outsourcing; Sensitive data; Attribute-based; Attribute-based keyword search; Cloud-computing; Edge computing; Internet of thing; Keyword search; Multi keywords; Multi-keyword search; Security; Traceability; Information leakage | English | 2024 | 2024-11 | 10.1016/j.aej.2024.09.030 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Review | Ultrasonic treatment of endocrine disrupting compounds, pharmaceuticals, and personal care products in water: An updated review | Pharmaceuticals, personal care products (PPCPs), and endocrine -disrupting compounds (EDCs) have seen a recent sustained increase in usage, leading to increasing discharge and accumulation in wastewater. Conventional water treatment and disinfection processes are somewhat limited in effectively addressing this micropollutant issue. Ultrasonication (US), which serves as an advanced oxidation process, is based on the principle of ultrasound irradiation, exposing water to high -frequency waves, inducing thermal decomposition of H2O while using the produced radicals to oxidize and break down dissolved contaminants. This review evaluates research over the past five years on US -based technologies for the effective degradation of EDCs and PPCPs in water and assesses various factors that can influence the removal rate: solution pH, temperature of water, presence of background common ions, natural organic matter, species that serve as promoters and scavengers, and variations in US conditions (e.g., frequency, power density, and reaction type). This review also discusses various types of carbon/non-carbon catalysts, O3 and ultraviolet processes that can further enhance the degradation efficiency of EDCs and PPCPs in combination with US processes. Furthermore, numerous types of EDCs and PPCPs and recent research trends for these organic contaminants are considered. | An, Sujin; Nam, Seong-Nam; Choi, Jong Soo; Park, Chang Min; Jang, Min; Lee, Ji Yi; Jun, Byung-Moon; Yoon, Yeomin | Ewha Womans Univ, Dept Environm Sci & Engn, 52 Ewhayeodae Gil, Seoul 03760, South Korea; Korea Army Acad Yeongcheon, Mil Environm Res Ctr, 495 Hoguk Ro, Yeongcheon Si 38900, Gyeongsangbug D, South Korea; Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea; Kwangwoon Univ, Dept Elect Engn, 447-1 Wolgye Dong Nowon Gu, Seoul, South Korea; Korea Atom Energy Res Inst KAERI, Radwaste Management Ctr, 111 Daedeok Daero 989beon Gil, Daejeon 34057, South Korea | Jang, Min/J-2230-2012; Nam, Seong-Nam/ABT-9415-2022; Park, Chang Min/CAA-8506-2022; Jun, Byung-Moon/Y-2134-2019; Yoon, Yeomin/KDP-2253-2024; Jang, Min/M-6690-2018 | 59162816100; 57226757907; 57202287234; 57209588953; 36762550700; 27167796600; 55326699900; 7402126688 | jbm9101@kaeri.re.kr;yoony@ewha.ac.kr; | JOURNAL OF HAZARDOUS MATERIALS | J HAZARD MATER | 0304-3894 | 1873-3336 | 474 | SCIE | ENVIRONMENTAL SCIENCES;ENGINEERING, ENVIRONMENTAL | 2024 | 11.3 | 4.9 | 1.12 | 2025-05-07 | 13 | 12 | Sonodegradation; Endocrine-disrupting compounds; Pharmaceuticals and personal care products; Ultrasonic treatment; Water treatment | ACTIVATED PERSULFATE OXIDATION; SONOCATALYTIC DEGRADATION; AQUEOUS-SOLUTION; BISPHENOL-A; WASTE-WATER; PHOTOCATALYTIC DEGRADATION; ELECTROCHEMICAL OXIDATION; AQUATIC ENVIRONMENT; FENTON OXIDATION; ELECTRO-FENTON | Endocrine-disrupting compounds; Pharmaceuticals and personal care products; Sonodegradation; Ultrasonic treatment; Water treatment | Cosmetics; Endocrine Disruptors; Pharmaceutical Preparations; Ultrasonic Waves; Ultrasonics; Water Pollutants, Chemical; Water Purification; United States; Decomposition; Endocrine disrupters; Wastewater treatment; Water pollution; analgesic agent; antibiotic agent; antihypertensive agent; antiprotozoal agent; endocrine disruptor; herbicide; hormone; magnesium trisilicate; ozone; phenol derivative; plasticizer; polycyclic aromatic hydrocarbon; preservative; water; cosmetic; endocrine disruptor; pharmaceutics; Conventional water treatment; Disinfection process; Endocrine disrupting compound; Personal care products; Pharmaceutical and personal care products; Sonodegradations; Ultra-sonication; Ultrasonic treatments; Water disinfections; Water treatment process; drug; endocrine disruptor; literature review; oxidation; PPCP; ultrasonics; water treatment; catalyst; decomposition; disinfection; energy consumption; first order rate constant; mineralization; nonhuman; oxidation; oxidation reduction potential; photocatalysis; photodegradation; promoter region; Review; temperature; ultrasound; ultraviolet radiation; vapor pressure; waste component removal; waste water management; water quality; water treatment; chemistry; procedures; radiation response; ultrasound; water management; water pollutant; Degradation | English | 2024 | 2024-08-05 | 10.1016/j.jhazmat.2024.134852 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Anti-chitinase-3-like 1 antibody attenuated atopic dermatitis-like skin inflammation through inhibition of STAT3-dependent CXCL8 expression | Background and PurposeChitinase-3-like 1 (CHI3L1) causes skin inflammation in the progression of atopic dermatitis. We investigated if anti-CHI3L1 antibody could prevent the development of atopic dermatitis and its mechanisms of action.Experimental ApproachThe effect of CHI3L1 antibody on phthalic anhydride-induced atopic dermatitis animal model and in vitro reconstructed human skin (RHS) model were investigated. Expression and release of atopic dermatitis-related cytokines were determined using an enzyme-linked immunosorbent assay, and RT-qPCR, STAT3 and CXCL8 signalling were measured by western blotting.Key ResultsAnti-CHI3L1 antibody suppressed phthalic anhydride-induced epidermal thickening, clinical score, IgE level and infiltration of inflammatory cells, and reduced phthalic anhydride-induced inflammatory cytokines concentration. In addition, CHI3L1 antibody treatment inhibited the expression of STAT3 activity in phthalic anhydride-treated skin. It was also confirmed that CHI3L1 antibody treatment alleviated atopic dermatitis-related inflammation in the RHS model. The inhibitory effects of CHI3L1 antibody was similar or more effective compared with that of the IL-4 antibody. We further found that CHI3L1 is associated with CXCL8 by protein-association network analysis. siRNA of CHI3L1 blocked the mRNA levels of CHI3L1, IL-1 beta, IL-4, CXCL8, TSLP, and the expression of CHI3L1 and p-STAT, and the level of CXCL8, whereas recombinant level of CXCL8 was elevated. Moreover, siRNA of STAT3 reduced the mRNA level of these cytokines. CHI3L1 and p-STAT3 expression correlated with the reduced CXCL8 level in the RHS in vitro model.Conclusion and ImplicationsOur data demonstrated that CHI3L1 antibody could be a promising effective therapeutic drug for atopic dermatitis. image | Yu, Jin Eun; Jeon, Seong Hee; Kim, Min Ji; Kim, Dae Hwan; Koo, Ja Keun; Kim, Tae Hun; Kim, Bongcheol; Yoon, Ji Yong; Lim, Young-soo; Park, So Ra; Yeo, In Jun; Yun, Jaesuk; Son, Dong Ju; Han, Sang-Bae; Lee, Yong Sun; Hong, Jin Tae | Chungbuk Natl Univ, Coll Pharm & Med Res Ctr, Osongsaengmyeong 1 ro,Osong eup, Cheongju 28160, Chungbuk, South Korea; Mokpo Natl Univ, Coll Pharm, Muan, Jeonnam, South Korea; Autotelic Bio Inc, Cheongju, Chungbuk, South Korea; Senelix Co Ltd, Seoul, South Korea; PRESTI GEBIOL Co Ltd, Cheongju, Chungbuk, South Korea; Osong Med Innovat Fdn, New Drug Dev Ctr, Cheongju, Chungcheongbuk, South Korea; Kyungpook Natl Univ, Coll Pharm, Daegu, South Korea | 56682243900; 57220777379; 58056163500; 57203718634; 59126407700; 58794713800; 58795420200; 59126066000; 58794713700; 57210698500; 57201941942; 15733177200; 7101868468; 57216616464; 57202816818; 55657116500 | kallintz@gmali.com;jinthong@chungbuk.ac.kr; | BRITISH JOURNAL OF PHARMACOLOGY | BRIT J PHARMACOL | 0007-1188 | 1476-5381 | 181 | 17 | SCIE | PHARMACOLOGY & PHARMACY | 2024 | 7.7 | 5.0 | 1.09 | 2025-05-07 | 2 | 2 | atopic dermatitis; CXCL8; STAT3 | CHITINASE 3-LIKE 1; SIGNAL-TRANSDUCTION; IMMUNE-RESPONSES; STAT3; KERATINOCYTES; FIBROBLASTS; CYTOKINES; PROTEINS; LESIONS; CELLS | atopic dermatitis; CHI3L1; CHI3L1 antibody; CXCL8; STAT3 | Animals; Antibodies; Chitinase-3-Like Protein 1; Dermatitis, Atopic; Female; Humans; Inflammation; Interleukin-8; Male; Mice; Mice, Inbred BALB C; Phthalic Anhydrides; Skin; STAT3 Transcription Factor; beta actin; chitinase 3 like 1 antibody; chitinase 3 like protein 1; glycoprotein p 15095; immunoglobulin E; interleukin 1beta; interleukin 4; interleukin 8; phthalic anhydride; RNA 18S; small interfering RNA; STAT3 protein; thymic stromal lymphopoietin; transcription factor; tumor necrosis factor; unclassified drug; antibody; chitinase 3 like protein 1; interleukin 8; phthalic anhydride; STAT3 protein; STAT3 protein, human; animal cell; animal experiment; animal model; animal tissue; area under the curve; Article; atopic dermatitis; attenuation; body weight; CD4+ T lymphocyte; CD8+ T lymphocyte; cell culture; cell infiltration; controlled study; data analysis; dendritic cell; diagnostic test accuracy study; edema; enzyme linked immunosorbent assay; epidermal thickness; erosion; erythema; flow cytometry; gene expression; genetic transfection; HaCat cell line; human; human cell; immunohistochemistry; in vitro study; inflammatory cell; lymph node; mast cell; mouse; network analysis; neutrophil; nonhuman; protein expression; protein phosphorylation; protein protein interaction; real time polymerase chain reaction; receiver operating characteristic; Western blotting; animal; Bagg albino mouse; drug effect; drug therapy; female; immunology; inflammation; male; metabolism; pathology; skin | English | 2024 | 2024-09 | 10.1111/bph.16365 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Letter | Immune Sensor Xa21 Regulates Bacterial Leaf Blight Infection in Seven Rice Cultivars from Myanmar | Aye, Nay Chi; Nabi, Rizwana Begum Syed; Shahid, Muhammad; Rolly, Nkulu Kabange; Tayade, Rupesh; Choon, Lee-Bong; Hussain, Adil; Yun, Byung-Wook | Kyungpook Natl Univ, Dept Appl Biosci, Daegu 41566, South Korea; Natl Inst Crop Sci, Rural Dev Adm, Dept Southern Area Crop Sci, Miryang 50424, South Korea; Natl Inst Agr Sci, Dept Cop Life Safety, Rural Dev Adm, Div Crop Protect, Iseo Myeon 55365, South Korea; Abdul Wali Khan Univ Mardan, Dept Agr, Khyber Pakhtunkhwa 23200, Pakistan | KABANGE, NKULU/AAQ-9425-2020; Hussain, Dr. Adil/K-6016-2018 | 57218878983; 57200232212; 59577718600; 57202031236; 57191753234; 59479786000; 41961162600; 8245123600 | adilhussain@awkum.edu.pk;bwyun@knu.ac.kr; | RICE SCIENCE | RICE SCI | 1672-6308 | 1876-4762 | 31 | 6 | SCIE | AGRONOMY;PLANT SCIENCES | 2024 | 6.1 | 5.0 | 0 | 2025-05-07 | 0 | 0 | RESISTANCE GENES | English | 2024 | 2024-11 | 10.1016/j.rsci.2024.06.008 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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