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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 | An automatic decision model for optimal noise barrier plan in terms of health impact, productivity, and cost aspects | Construction noise from several urban construction sites damages both construction companies and residents by creating an unpleasant acoustic environment. Noise barriers can be a great option to manage construction noise at a level that satisfies both construction companies and residents when installed considering construction project conditions. This study developed an automatic decision model to determine the optimal noise barrier plan regarding health impacts, productivity, and costs. Among several mathematically formulated noise barrier plans, the optimal noise barrier plan was determined using simulated annealing with consideration of the three objective functions in the trade-off relationship. A case study was conducted to validate the feasibility of the developed model. In the case study, the optimal noise barrier plan reduced the total expenditure of the construction company by up to 2.4% (USD 170.5 for ten days) and the health impacts of residents by up to 39.5% (USD 4,020.2 for ten days). The developed model is expected to be utilized to improve the urban acoustic environment while ensuring the profitability of construction companies. Furthermore, various social problems (civil complaints, disputes, etc.) in urban areas caused by construction noise can be prevented through an improved urban acoustic environment. | Choi, Jinwoo; Hong, Juwon; Kang, Hyuna; Hong, Taehoon; Park, Hyo Seon; Lee, Dong-Eun | Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea; Kyungpook Natl Univ, Sch Arch Civil Environm & Energy, Daegu, South Korea | ; Hong, Taehoon/E-9169-2012 | 57216361641; 57205334533; 57188750703; 57969349700; 55669886900; 56605563300 | jinwoo818@yonsei.ac.kr;juwonae@yonsei.ac.kr;hyuna_kang@yonsei.ac.kr;hong7@yonsei.ac.kr;hspark@yonsei.ac.kr;dolee@knu.ac.kr; | BUILDING AND ENVIRONMENT | BUILD ENVIRON | 0360-1323 | 1873-684X | 216 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL;ENGINEERING, ENVIRONMENTAL | 2022 | 7.4 | 4.0 | 0.88 | 2025-06-25 | 10 | 11 | Construction noise; Noise barrier; Construction site layout Planning; Multi-objective optimization; Simulated annealing | CONSTRUCTION SITE LAYOUT; OPTIMIZATION; POLLUTION; EXPOSURE | Construction noise; Construction site layout Planning; Multi-objective optimization; Noise barrier; Simulated annealing | Acoustic noise; Construction industry; Costs; Economic and social effects; Health; Multiobjective optimization; Productivity; Urban growth; Acoustic environment; Construction companies; Construction noise; Construction site layout planning; Construction site layouts; Health impact; Multi-objectives optimization; Noise barriers; Optimal noise; Site layout planning; acoustic emission; construction industry; cost analysis; decision analysis; noise pollution; optimization; simulated annealing; Simulated annealing | English | 2022 | 2022-05-15 | 10.1016/j.buildenv.2022.109033 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Development of prediction methodology for CO2 emissions and fuel economy of light duty vehicle | Fuel economy prediction models usually require vehicle specifications such as a fuel consumption map which are not publicly available. Therefore, the present study proposed a new data analyzing procedure to predict CO2 emissions and fuel economy using on-road driving data without confidential specifications. Vehicle specifications such as gear ratios and vehicle mass which are provided in a service manual and driving data such as vehicle speed and CO2 emission were used to develop the prediction model. Instead of the fuel consumption map, linear equations for each gear between wheel power and CO2 emissions were used to predict CO2 emissions for various driving modes. Since higher gears exhaust less CO2 than lower gears (the seventh gear exhausted 24.4% less CO2 than the first gear), the accuracy of fuel economy prediction was improved by applying the equations for each gear stage. The accuracy of the prediction was verified by comparing it with measurement data. The comparisons showed that the equations for each gear can predict the fuel economy more accurately than one equation representing the entire gear. In worldwide harmonized light vehicles test cycle (WLTC) mode, the former had a maximum error of 6.1%, but the latter showed an error of 17.9%. (C) 2022 Elsevier Ltd. All rights reserved. | Song, Jingeun; Cha, Junepyo | Kyungpook Natl Univ, Sch Automot Engn, Sangju 37224, South Korea; Korea Natl Univ Transportat, Dept Automot Engn, Chungju 27469, South Korea | ; Song, Jingeun/MTG-2604-2025 | 56714139600; 36237962800 | sjg@knu.ac.kr;chaj@ut.ac.kr; | ENERGY | ENERGY | 0360-5442 | 1873-6785 | 244 | SCIE | ENERGY & FUELS;THERMODYNAMICS | 2022 | 8.9 | 4.0 | 2 | 2025-06-25 | 21 | 27 | Fuel economy; CO2 emissions prediction; On-road driving test; Real driving emissions; Wheel power | REAL-WORLD CO2; PASSENGER CARS; CONSUMPTION; EUROPE; NEDC | CO<sub>2</sub> emissions prediction; Fuel economy; On-road driving test; Real driving emissions; Wheel power | Carbon dioxide; Driveways; Forecasting; Fuel economy; Fuels; Specifications; CO 2 emission; CO2 emission prediction; Driving test; Emissions prediction; On-road driving; On-road driving test; Power; Real driving emission; Real drivings; Wheel power; accuracy assessment; carbon dioxide; carbon emission; fuel consumption; testing method; transport vehicle; Wheels | English | 2022 | 2022-04-01 | 10.1016/j.energy.2022.123166 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Effect of degrees of structural freedom on the flow-induced vibrations of isolated and tandem cylindrical structures | This study aims to numerically investigate the influence of degrees of structural freedom on the flow-induced vibration characteristics of an isolated and tandem cylindrical structures at low Reynolds number. Both the single and tandem cylinders underwent transverse-only (1-DoF) and combined streamwise and transverse (2-DoF) vibrations which are characterized by the mass-spring system. A fluid-structure interaction scheme is formulated using the split-forcing lattice Boltzmann equation for the fluid domain in combination with an immersed boundary solver and equations of rigid body motion for the structural part. The dynamic response of an isolated and tandem structures computed for 1-and 2-DoF cases are similar regarding the lock-in phenomenon and hydrodynamic forces at a relatively large mass ratio. The comparison of vorticity field suggests that an additional degree of freedom has no significant effect on the vortex shedding pattern. Furthermore, in the presence of another identical structure placed in the upstream direction, the downstream structure oscillates with higher amplitudes. | Haider, B. A.; Sohn, C. H. | Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea | Haider, Basharat/B-5887-2015 | 36805990000; 36806852600 | chsohn@knu.ac.kr; | OCEAN ENGINEERING | OCEAN ENG | 0029-8018 | 1873-5258 | 266 | SCIE | ENGINEERING, CIVIL;ENGINEERING, MARINE;ENGINEERING, OCEAN;OCEANOGRAPHY | 2022 | 5 | 4.0 | 0.65 | 2025-06-25 | 8 | 8 | Circular cylinder; Flow-induced vibrations; Fluid-structure interaction; Immersed boundary method; In-line and cross-flow VIV; Lattice Boltzmann equation; Tandem structures | VORTEX-INDUCED VIBRATIONS; LATTICE BOLTZMANN METHOD; 2 CIRCULAR-CYLINDERS; INDUCED OSCILLATIONS; WAKE INTERFERENCE; ARRANGEMENTS; SIMULATIONS; VELOCITY; MOMENTUM; FORCES | Circular cylinder; Flow-induced vibrations; Fluid–structure interaction; Immersed boundary method; In-line and cross-flow VIV; Lattice Boltzmann equation; Tandem structures | Boltzmann equation; Degrees of freedom (mechanics); Reynolds number; Rigid structures; Turbulent flow; Vibrations (mechanical); Vorticity; Cross flows; Cylindrical structure; Flow-induced vibration; Fluid-structure interaction; Immersed boundary methods; In-line and cross-flow VIV; Lattice Boltzmann equations; Line flows; Tandem structure; Vibration characteristics; cylinder; dynamic response; fluid-structure interaction; hydrodynamics; lattice dynamics; structural response; vibration; Circular cylinders | English | 2022 | 2022-12-15 | 10.1016/j.oceaneng.2022.113029 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Internal strength characterization of geotextile tube using miniature cone | Geotextile tubes are widely used in coastal protection and beach restoration. The objective of this study is to evaluate the internal shear strength of geotextile tubes using a miniature cone in a small-scale model test. Sandy soils with different particle size distributions are used as fill materials in the geotextile tubes. Each fill material with high water content is injected into the geotextile tube using a sand pump. After injecting the fill material, cone penetration tests are conducted using a miniature cone to characterize the internal strength profile of the geotextile tube. The experimental results indicate that fill materials with fines content have smaller cone tip resistances than those without. Moreover, the cone tip resistances near the inlet of the geotextile tube are smaller than those far from the inlet in the longitudinal direction. The strength characterization approach using a miniature cone may be promising for evaluating the internal stability of geotextile tubes. | Kim, Dong-Ju; Kim, Sang-Chul; Lee, Jong-Sub; Byun, Yong-Hoon; Kang, Byung-Yoon | Korea Univ, Sch Civil Environm & Architectural Engn, 145 Anam ro, Seoul 02841, South Korea; Kyungpook Natl Univ, Sch Agr Civil & Bioind Engn, 80 Daehak ro, Daegu 41566, South Korea; Korea Rural Community Corp, Rural Res Inst, 870 Haean ro, Ansan 15634, Gyeonggi Do, South Korea | Lee, Jong-Sub/G-2752-2012; Byun, Yong-Hoon/JKI-8441-2023 | 7409760881; 57224547044; 55690048400; 42761048000; 57969523300 | yhbyun@knu.ac.kr; | OCEAN ENGINEERING | OCEAN ENG | 0029-8018 | 1873-5258 | 266 | SCIE | ENGINEERING, CIVIL;ENGINEERING, MARINE;ENGINEERING, OCEAN;OCEANOGRAPHY | 2022 | 5 | 4.0 | 0.57 | 2025-06-25 | 6 | 7 | Coastal protection; Cone penetration; Geotextile tube; Miniature cone; Internal strength | PERFORMANCE; PENETROMETER; CONTAINMENT; BEHAVIOR; TENSION; BEARING | Coastal protection; Cone penetration; Geotextile tube; Internal strength; Miniature cone | Geotextiles; Shear strength; Tubes (components); Coastal beaches; Coastal protection; Cone penetration; Cone tip resistance; Fill materials; Geotextile tube; Internal strength; Miniature cone; Protection/restoration; Strength characterization; coastal protection; cone penetration test; experimental study; geotextile; particle size; sandy soil; shear strength; size distribution; stability analysis; water content; Particle size | English | 2022 | 2022-12-15 | 10.1016/j.oceaneng.2022.113157 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Investigation of blade design parameters for performance improvement of hydraulic cross flow turbine | Micro hydro power plant offers the cheapest renewable as well as a clean energy resource having abundant room for development. Cross flow turbine is easy to manufacture and maintain, operable in off-grid remote areas with negligible civil work requirement leading to its high popularity in developing countries. The present study numerically investigates the effect of different blade design parameters on the performance of hydraulic cross flow turbine using Ansys-CFX (R). Firstly, a comparative analysis of the full turbine and half turbine model is performed. Then, the blade leading and trailing edge is varied considering four distinct geometric profiles with varying rotational speeds of 100-240 rpm. Moreover, the blade exit angle is varied from 50 degrees to 100 degrees, keeping a consistent rotational speed of 180 rpm. The results are presented in terms of the torque generated, and the turbine efficiency. In addition, the localized flow around the blades is elaborated using the flow velocity contours and streamlines. The geometric combination with a circular profile for the blade leading edge followed by a sharp trailing edge transpired maximum turbine efficiency. Moreover, the optimal blade exit angle lies between 55 degrees and 60 degrees contrary to the general practice of radial exit. | Naseem, Mujahid; Saleem, Arslan; Naseem, Muhammad Shoaib | Korea Inst Energy Technol KENTECH, Inst Hydrogen Energy, Naju, South Korea; Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Comsats Univ Islamabad, Mech Engn Dept, Wah Campus, Islamabad, Pakistan; Kyungpook Natl Univ, IEDT, Daegu 41566, South Korea | ; Naseem, Mujahid/HKV-4883-2023; Naseem, Muhammad Shoaib/JUV-0623-2023; Saleem, Arslan/ABA-5982-2021 | 57217593111; 57194776354; 57762212200 | mnaseem@ciitwah.edu.pk; | OCEAN ENGINEERING | OCEAN ENG | 0029-8018 | 1873-5258 | 257 | SCIE | ENGINEERING, CIVIL;ENGINEERING, MARINE;ENGINEERING, OCEAN;OCEANOGRAPHY | 2022 | 5 | 4.0 | 0.73 | 2025-06-25 | 3 | 11 | Cross flow turbine; Computational fluid dynamics; Ansys-CFX (R); Blade edge profile; Blade exit angle | ENERGY | Ansys-CFX®; Blade edge profile; Blade exit angle; Computational fluid dynamics; Cross flow turbine | Developing countries; Energy resources; Flow velocity; Hydraulic motors; Hydraulic turbines; Turbine components; Turbomachine blades; Ansys-CFX®; Blade design; Blade edge profile; Blade exit angle; Cross flow turbines; Design parameters; Edge profile; Exit angles; Performance; Trailing edges; computational fluid dynamics; developing world; flow velocity; performance assessment; turbine; Computational fluid dynamics | English | 2022 | 2022-08-01 | 10.1016/j.oceaneng.2022.111663 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Modeling cyclic behavior of unbound aggregates using two-surface plasticity theory | Various empirical rutting models have been proposed to predict the permanent deformation of aggregate base/ subbase layers in pavements. Nevertheless, an analytical model is required for large-scale finite element simu-lation of the pavement structure. A two-surface plasticity theory is used to predict the long-term cyclic behavior and provide path-dependent material responses of aggregates. The deviatoric stresses for each aggregate were determined based on the shear stress ratio and the shear strength properties at source and engineering grada-tions. The proposed rutting model was optimized and validated via repeated load triaxial tests using 11 aggre-gates. The numerical results demonstrate that the proposed model accurately describes aggregates with low-level permanent strain and thus enables the yield surface, long-term shear strain, and path-dependent resilient modulus to be assessed. Overall, the proposed physics-based modeling approach can help understand and predict the deformation behavior of aggregates subjected to moving-wheel loads. | Won, Jongmuk; Tutumluer, Erol; Byun, Yong-Hoon | Univ Ulsan, Dept Civil & Environm Engn, Daehak Ro 93, Ulsan 680749, South Korea; Univ Illinois, Dept Civil & Environm Engn, 205 North Mathews Ave, Urbana, IL 61801 USA; Kyungpook Natl Univ, Sch Agr Civil & Bioind Engn, 80 Daehak Ro, Daegu 41566, South Korea | Byun, Yong-Hoon/JKI-8441-2023; Tutumluer, Erol/O-2650-2019 | 53878877200; 6603812780; 42761048000 | yhbyun@knu.ac.kr; | CONSTRUCTION AND BUILDING MATERIALS | CONSTR BUILD MATER | 0950-0618 | 1879-0526 | 325 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2022 | 7.4 | 4.0 | 0.15 | 2025-06-25 | 2 | 2 | Aggregate; Cyclic behavior; Permanent strain; Plasticity model; Stress path; Yield surface | DEFORMATION CHARACTERISTICS; STATE PARAMETER; CLAY | Aggregate; Cyclic behavior; Permanent strain; Plasticity model; Stress path; Yield surface | Deformation; Forecasting; Pavements; Plasticity; Shear strain; Shear stress; Yield stress; Cyclic behavior; Permanent deformations; Permanent strain; Plasticity model; Plasticity theory; Rutting model; Stress paths; Two-surface plasticity; Unbound aggregates; Yield surface; Aggregates | English | 2022 | 2022-03-28 | 10.1016/j.conbuildmat.2022.126774 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Quantifying impacts of shell augmentation on power output of airborne wind energy system at elevated heights | This work presents an in-depth design analysis of full-scale airborne wind energy systems. The prime focus is to quantify the impact of an airfoil-based shell carrying a 3-bladed rotor tailored to airborne needs. A high-fidelity numerical approach is used to gain insights into the design's performance by solving the numerical model of the resulting system. Three-dimensional simulations are carried out for a range of wind speeds and tip speed ratios to evaluate the aerodynamic behavior of the shell rotor by lifting the complete shell rotor assembly at elevated heights. The sensitiveness of the performance is rigorously analyzed in terms of the power coefficient (C-p,C-s), thrust coefficient, blockage effect, swallowed mass flow and bound circulation. An important finding highlights that the shell configuration is more efficient under optimal flow conditions in augmenting the power output. Besides, the augmented effects of the shell significantly contribute to the resulting Cp; s to outperform the Betz limit. Meanwhile, the net extracted power of the proposed design is 66% higher than that of the bare rotor. Finally, the simulation results suggest that the shell rotor operating close to the higher tip speed ratios behaves quite similar to that of the bare rotor configuration. (C) 2021 Elsevier Ltd. All rights reserved. | Ali, Qazi Shahzad; Kim, Man-Hoe | Kyungpook Natl Univ, Sch Mech Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, IEDT, Daegu 41566, South Korea | 57209058973; 55686310000 | shahzad@knu.ac.kr;manhoe.kim@knu.ac.kr; | ENERGY | ENERGY | 0360-5442 | 1873-6785 | 239 | SCIE | ENERGY & FUELS;THERMODYNAMICS | 2022 | 8.9 | 4.0 | 0.37 | 2025-06-25 | 5 | 5 | Airborne wind turbine; Buoyant airborne turbine; High altitude wind energy; Airborne wind energy; Numerical modeling; Renewable energy | AERODYNAMIC PERFORMANCE; TURBINE SYSTEM; OPTIMIZATION; ROTOR | Airborne wind energy; Airborne wind turbine; Buoyant airborne turbine; High altitude wind energy; Numerical modeling; Renewable energy | Numerical models; Shells (structures); Wind turbines; Airborne wind energy; Airborne wind turbine; Buoyant airborne turbine; Design Analysis; High altitude wind energy; Power output; Prime-focus; Renewable energies; Tip speed ratio; Wind energy systems; aerodynamics; design; numerical model; optimization; performance assessment; shell; three-dimensional modeling; wind power; Wind power | English | 2022 | 2022-01-15 | 10.1016/j.energy.2021.121839 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Semantic discrepancies between Korean and English versions of the ASHRAE sensation scale | The seven-point thermal sensation scale provides a consistent measurement protocol widely applied in both field studies and lab experiments. Whilst thermal comfort studies have been carried out in diverse languages and cultures across the globe, there are suspicions among the research community whether the scale carries the same meaning when translated into different languages. This paper explores the question of semantics on the 7-point thermal sensation scale, focusing on identifying and quantifying linguistic bias introduced to the translation. Empirical data from multiple thermal comfort field survey campaigns administered in the Korean language are analysed and compared against reference data collected using the original English version of the ASHRAE scale (a subset of ASHRAE Global Thermal Comfort Database II from English-speaking countries). The analysis is focused on the question of whether survey respondents' interpretation of the scale systematically diverge from the assumptions underlying the original English version: i.e. (1) central three categories of the 7-point sensation scale being regarded as expressions of acceptable thermal comfort; (2) comfort being symmetrical around the optimum 'neutral' point; and (3) the widths of scale categories being consistent. Our analysis indicates that when translated into Korean the scale's semantics diverge significantly from the original English version. The implications of this discovery for previously published findings based on translated scales are also discussed. The paper calls for a more systematic investigation into linguistic dimensions of the scale to support a consistent and standardised guideline for the translation of thermal sensation scales from which compatible multilingual databases of thermal comfort can be developed. | Kim, Jungsoo; Ryu, Jihye; Jeong, Bongchan; de Dear, Richard | Univ Sydney, Sch Architecture Design & Planning, Indoor Environm Qual Lab, Camperdown, Australia; Kyungpook Natl Univ, Convergence Inst Construct & Energy Engn, Daegu, South Korea | de Dear, Richard/AAP-8963-2020; Kim, Jungsoo/GQB-1511-2022; de Dear, Richard/HLQ-1063-2023; Jeong, Bongchan/AFS-6341-2022 | 57189969323; 56192651000; 57189658249; 57509153500 | jungsoo.kim@sydney.edu.au; | BUILDING AND ENVIRONMENT | BUILD ENVIRON | 0360-1323 | 1873-684X | 221 | SCIE | CONSTRUCTION & BUILDING TECHNOLOGY;ENGINEERING, CIVIL;ENGINEERING, ENVIRONMENTAL | 2022 | 7.4 | 4.0 | 0.8 | 2025-06-25 | 9 | 10 | Thermal sensation scale; Subjective warmth; ASHRAE; Semantic offset; Linguistic bias | THERMAL COMFORT | ASHRAE; Linguistic bias; Semantic offset; Subjective warmth; Thermal sensation scale | Surveys; Thermal comfort; Translation (languages); ASHRAE; Field studies; Lab. experiment; Linguistic bias; Measurement protocol; Research communities; Semantic offset; Subjective warmth; Thermal sensation scale; Thermal sensations; database; empirical analysis; field survey; semantic standardization; Semantics | English | 2022 | 2022-08-01 | 10.1016/j.buildenv.2022.109343 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | STG-OceanWaveNet: Spatio-temporal geographic information guided ocean wave prediction network | This study proposes a spatio-temporal geographical information-guided neural network to predict multi-step ahead space-time series of ocean waves. The network is designed to learn the ocean wave dynamics from external atmospheric forcing and internal wave processes. It also captures the nonlinear relationships in multiple input and at the spatial and temporal levels and shares their dependencies. The model learns these dependencies through a convoluted encoded latent feature, while a decoder predicts the space-time series of ocean waves from the latent representations. The model is trained on 35 years of a state-of-the-art global reanalysis dataset produced at 1-hour temporal and 25 km spatial resolutions around the Korean Peninsula. It is evaluated by predicting the same resolution's multi-step ahead space-time series of ocean waves for a 48-hour forecast lead time for the 5 years not used for training. We conducted an ablation experiment to determine the optimal model architecture, input variable, and training period. The prediction results are compared and analyzed with the in-situ ocean wave measurements at the 18 observation stations. We consider the prediction results according to the start time of prediction with the in-situ measurements and hindcast results to examine the performance on the high waves that caused wave-induced disaster. | Kim, Jinah; Kim, Taekyung; Yoo, Jeseon; Ryu, Joon-Gyu; Do, Kideok; Kim, Jaeil | Korea Inst Ocean Sci & Technol, Coastal Disaster Res Ctr, Pusan 49111, South Korea; Elect & Telecommun Res Inst, Satellite Wide area Infra Res Sect, Daejeon 34129, South Korea; Korea Maritime & Ocean Univ, Dept Ocean Engn, Pusan 49111, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | Do, Kideok/AHD-8394-2022; Yoo, Jeseon/AAV-6568-2021 | 55720345100; 59471665700; 16417848400; 7401868766; 36561293000; 57211615348 | jaeilkim@knu.ac.kr; | OCEAN ENGINEERING | OCEAN ENG | 0029-8018 | 1873-5258 | 257 | SCIE | ENGINEERING, CIVIL;ENGINEERING, MARINE;ENGINEERING, OCEAN;OCEANOGRAPHY | 2022 | 5 | 4.0 | 0.81 | 2025-06-25 | 9 | 10 | Data-driven wave modeling; Spatio-temporal feature learning; Emulation of ocean wave physics; Spate-time series ocean wave prediction; Neural ocean wave model; Attention mechanism | HEIGHT PREDICTION; ENSEMBLE; SYSTEM; MODEL | Attention mechanism; Data-driven wave modeling; Emulation of ocean wave physics; Neural ocean wave model; Spate-time series ocean wave prediction; Spatio-temporal feature learning | Forecasting; Oceanography; Time series; Attention mechanisms; Data driven; Data-driven wave modeling; Emulation of ocean wave physic; Feature learning; Neural ocean wave model; Ocean wave model; Spate-time series ocean wave prediction; Spatio-temporal feature learning; Spatiotemporal feature; Times series; Wave modelling; Wave predictions; artificial neural network; machine learning; numerical model; ocean wave; prediction; spatiotemporal analysis; time series; Water waves | English | 2022 | 2022-08-01 | 10.1016/j.oceaneng.2022.111576 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | Erratum | Author Correction: Measurement of the generalized spin polarizabilities of the neutron in the low-Q 2 region (Nature Physics, (2021), 17, 6, (687-692), 10.1038/s41567-021-01245-9) | [No abstract available] | Sulkosky, Vincent; Peng, Chao; Chen, Jian-ping; Deur, Alexandre; Abrahamyan, Sergey; Aniol, Konrad A.; Armstrong, David S.; Averett, Todd; Bailey, Stephanie L.; Beck, Arie; Bertin, Pierre; Butaru, Florentin; Boeglin, Werner; Camsonne, Alexandre; Cates, Gordon D.; Chang, Chia-Cheh; Choi, Seonho; Chudakov, Eugene; Coman, Luminita; Cornejo, Juan C.; Craver, Brandon; Cusanno, Francesco; De Leo, Raffaele; de Jager, Cornelis W.; Denton, Joseph D.; Dhamija, Seema; Feuerbach, Robert; Finn, John M.; Frullani, Salvatore; Fuoti, Kirsten; Gao, Haiyan; Garibaldi, Franco; Gayou, Olivier; Gilman, Ronald; Glamazdin, Alexander; Glashausser, Charles; Gomez, Javier; Hansen, Jens-Ole; Hayes, David; Hersman, F. William; Higinbotham, Douglas W.; Holmstrom, Timothy; Humensky, Thomas B.; Hyde, Charles E.; Ibrahim, Hassan; Iodice, Mauro; Jiang, Xiandong; Kaufman, Lisa J.; Kelleher, Aidan; Keister, Kathryn E.; Kim, Wooyoung; Kolarkar, Ameya; Kolb, Norm; Korsch, Wolfgang; Kramer, Kevin; Kumbartzki, Gerfried; Lagamba, Luigi; Lainé, Vivien; Laveissiere, Geraud; Lerose, John J.; Lhuillier, David; Lindgren, Richard; Liyanage, Nilanga; Lu, Hai-Jiang; Ma, Bin; Margaziotis, Demetrius J.; Markowitz, Peter; McCormick, Kathleen R.; Meziane, Mehdi; Meziani, Zein-Eddine; Michaels, Robert; Moffit, Bryan; Monaghan, Peter; Nanda, Sirish; Niedziela, Jennifer; Niskin, Mikhail; Pandolfi, Ronald; Paschke, Kent D.; Potokar, Milan; Puckett, Andrew; Punjabi, Vina A.; Qiang, Yi; Ransome, Ronald D.; Reitz, Bodo; Roché, Rikki; Saha, Arun; Shabetai, Alexander; Širca, Simon; Singh, Jaideep T.; Slifer, Karl; Snyder, Ryan; Solvignon, Patricia; Stringer, Robert; Subedi, Ramesh; Tobias, William A.; Ton, Ngyen; Ulmer, Paul E.; Urciuoli, Guido Maria; Vacheret, Antonin; Voutier, Eric; Wang, Kebin; Wan, Lu; Wojtsekhowski, Bogdan; Woo, Seungtae; Yao, Huan; Yuan, Jing; Zhan, Xiaohui; Zheng, Xiaochao; Zhu, Lingyan | William & Mary, Williamsburg, VA, United States, Thomas Jefferson National Accelerator Facility, Newport News, VA, United States, University of Virginia, Charlottesville, VA, United States; Duke University and Triangle Universities Nuclear Laboratory, Durham, NC, United States, Argonne National Laboratory, Lemont, IL, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States, University of Virginia, Charlottesville, VA, United States; Yerevan Physics Institute, Yerevan, Armenia; California State University, Los Angeles, Los Angeles, CA, United States; William & Mary, Williamsburg, VA, United States; William & Mary, Williamsburg, VA, United States; William & Mary, Williamsburg, VA, United States; Massachusetts Institute of Technology, Cambridge, MA, United States; LPC Clermont-Ferrand, Université Blaise Pascal, CNRS/IN2P3, Aubière, France; Temple University, Philadelphia, PA, United States; Florida International University, Miami, FL, United States; LPC Clermont-Ferrand, Université Blaise Pascal, CNRS/IN2P3, Aubière, France; University of Virginia, Charlottesville, VA, United States; University of Maryland, College Park, MD, United States; Temple University, Philadelphia, PA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Florida International University, Miami, FL, United States; California State University, Los Angeles, Los Angeles, CA, United States; University of Virginia, Charlottesville, VA, United States; Istituto Nazionale di Fisica Nucleare, Rome, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Bari and University of Bari, Bari, Italy; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Longwood University, Farmville, VA, United States; University of Kentucky, Lexington, KY, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; William & Mary, Williamsburg, VA, United States; Istituto Nazionale di Fisica Nucleare, Rome, Italy, Istituto Superiore di Sanità, Rome, Italy; William & Mary, Williamsburg, VA, United States; Duke University and Triangle Universities Nuclear Laboratory, Durham, NC, United States; Istituto Nazionale di Fisica Nucleare, Rome, Italy, Istituto Superiore di Sanità, Rome, Italy; Massachusetts Institute of Technology, Cambridge, MA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States, Rutgers, The State University of New Jersey, Piscataway, NJ, United States; Kharkov Institute of Physics and Technology, Kharkov, Ukraine; Rutgers, The State University of New Jersey, Piscataway, NJ, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Old Dominion University, Norfolk, VA, United States; University of New Hampshire, Durham, NH, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; William & Mary, Williamsburg, VA, United States, Longwood University, Farmville, VA, United States; University of Virginia, Charlottesville, VA, United States; Old Dominion University, Norfolk, VA, United States; Old Dominion University, Norfolk, VA, United States, Cairo University, Giza, Egypt; Istituto Nazionale di Fisica Nucleare, Rome, Italy; Rutgers, The State University of New Jersey, Piscataway, NJ, United States; University of Massachusetts Amherst, Amherst, MA, United States; William & Mary, Williamsburg, VA, United States; William & Mary, Williamsburg, VA, United States; Kyungpook National University, Daegu, South Korea; University of Kentucky, Lexington, KY, United States; University of Saskatchewan, Saskatoon, SK, Canada; University of Kentucky, Lexington, KY, United States; William & Mary, Williamsburg, VA, United States, Duke University and Triangle Universities Nuclear Laboratory, Durham, NC, United States; Rutgers, The State University of New Jersey, Piscataway, NJ, United States; Istituto Nazionale di Fisica Nucleare, Sezione di Bari and University of Bari, Bari, Italy; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States, LPC Clermont-Ferrand, Université Blaise Pascal, CNRS/IN2P3, Aubière, France; LPC Clermont-Ferrand, Université Blaise Pascal, CNRS/IN2P3, Aubière, France; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; DAPHNIA/SPhN, CEA Saclay, Gif-sur-Yvette, France; University of Virginia, Charlottesville, VA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States, University of Virginia, Charlottesville, VA, United States; Department of Modern Physics, University of Science and Technology of China, Hefei, China; Massachusetts Institute of Technology, Cambridge, MA, United States; California State University, Los Angeles, Los Angeles, CA, United States; Florida International University, Miami, FL, United States; Rutgers, The State University of New Jersey, Piscataway, NJ, United States; William & Mary, Williamsburg, VA, United States, Duke University and Triangle Universities Nuclear Laboratory, Durham, NC, United States; Temple University, Philadelphia, PA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; William & Mary, Williamsburg, VA, United States; Massachusetts Institute of Technology, Cambridge, MA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; University of Massachusetts Amherst, Amherst, MA, United States; Florida International University, Miami, FL, United States; Randolph–Macon College, Ashland, VA, United States; University of Massachusetts Amherst, Amherst, MA, United States; Jožef Stefan Institute, University of Ljubljana, Ljubljana, Slovenia; University of Virginia, Charlottesville, VA, United States; Norfolk State University, Norfolk, VA, United States; Massachusetts Institute of Technology, Cambridge, MA, United States; Rutgers, The State University of New Jersey, Piscataway, NJ, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Florida State University, Tallahassee, FL, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Rutgers, The State University of New Jersey, Piscataway, NJ, United States; Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia; University of Virginia, Charlottesville, VA, United States; Temple University, Philadelphia, PA, United States; University of Virginia, Charlottesville, VA, United States; Temple University, Philadelphia, PA, United States; Duke University and Triangle Universities Nuclear Laboratory, Durham, NC, United States; Kent State University, Kent, OH, United States; University of Virginia, Charlottesville, VA, United States; University of Virginia, Charlottesville, VA, United States; Old Dominion University, Norfolk, VA, United States; Istituto Nazionale di Fisica Nucleare, Rome, Italy; DAPHNIA/SPhN, CEA Saclay, Gif-sur-Yvette, France; LPSC, Université Joseph Fourier, CNRS/IN2P3, INPG, Grenoble, France; University of Virginia, Charlottesville, VA, United States; Massachusetts Institute of Technology, Cambridge, MA, United States; Thomas Jefferson National Accelerator Facility, Newport News, VA, United States; Kyungpook National University, Daegu, South Korea; Temple University, Philadelphia, PA, United States; Rutgers, The State University of New Jersey, Piscataway, NJ, United States; Massachusetts Institute of Technology, Cambridge, MA, United States; University of Virginia, Charlottesville, VA, United States, Argonne National Laboratory, Lemont, IL, United States; Massachusetts Institute of Technology, Cambridge, MA, United States | 9241036200; 55710882600; 57216185967; 6604025441; 36717446600; 57223004530; 7404406991; 7004322920; 57195886825; 57202886386; 7101872853; 15822025400; 57218357388; 9840900600; 7006184114; 57226047455; 57199723894; 19638695300; 6505489675; 36122550000; 12244778800; 56210335900; 7004824201; 57225335327; 57216548131; 7003742031; 35227196100; 57216378708; 7007181460; 12244508300; 7402970950; 35946709100; 6602615038; 36046351900; 6602223200; 6701469450; 36639255800; 7404333236; 57197211573; 7004338858; 6701771992; 7004688871; 35227409300; 57204617911; 56212494700; 56235516500; 59836540900; 8786682700; 7006091310; 57221140349; 35227558900; 8834538100; 7003765392; 7003994135; 7201848138; 7004406182; 6701825730; 55587445600; 6602663675; 57223019091; 15842326600; 7005261571; 57216595166; 59441430600; 57221138198; 57223012802; 57330473400; 57206512236; 22985979600; 24500876300; 7005666681; 8834540300; 7102503371; 22962910200; 59270833100; 57216547799; 55826646100; 7003678572; 8258895300; 15822827100; 6603966777; 12244665700; 7003611554; 9241034800; 7006428313; 58279958000; 59829838400; 34573433700; 55574202846; 7003298969; 57210753889; 6504491759; 59877771200; 12244769000; 6603157705; 57203168632; 7004424167; 57201276727; 8909873500; 6603350317; 57208293125; 57216549137; 6701552350; 57473917300; 55419611700; 59103619500; 15823233800; 57216598726; 57198444774 | deurpam@jlab.org; | Nature Physics | NAT PHYS | 1745-2473 | 1745-2481 | 18 | 4 | SCIE | PHYSICS, MULTIDISCIPLINARY | 2022 | 19.5 | 4.1 | 0 | 2025-06-25 | 0 | English | Final | 2022 | 10.1038/s41567-022-01569-0 | 바로가기 | 바로가기 | 바로가기 | |||||||||
| ○ | ○ | Article | Live membrane filters with immobilized quorum quenching bacterial strains for anti-biofouling | Membrane filters are core materials for water treatment, reuse, and desalination. However, their fouling caused by biofilm growth is a major challenge, needing resolution. Here, we report the new strategies and efficacy of anti-biofouling membranes fabricated through the immobilization of quorum quenching (QQ) bacterial strains (Rhodococcus sp. BH4). The QQ cells are not attached to the membrane by direct phase inversion. However, they anchor to the membrane with its incubation in the presence of hydrophilic polymers (polyvinyl alcohol and alginate) as evidenced in the spectroscopic and morphological observations. Membrane filters with live QQ bacteria can degrade a signal molecule (N-octanoyl-L-homoserine lactone) with the first-order rate constant of 0.58-0.82 h(-1) and inhibit the growth of a biofilm-forming bacterium (PAO1) and its secretion of biopolymers. The QQ membrane demonstrates its significant anti-biofouling effect in bioreactors for treating synthetic wastewater (i.e., membrane fouling was delayed by 57-67% compared to the naked membrane), although the initial water permeabilities are reduced with surface modification by 34-47% compared to pristine condition. The findings of this work bring the broad potential for material fabrication requiring biofouling control, encountered in our daily lives and mechanical, marine, and medical industries in addition to membrane filters. | Shah, Syed Salman Ali; Lee, Kibeak; Park, Hyeona; Choo, Kwang-Ho | Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, 80 Daehak Ro, Daegu 41566, South Korea; Chonnam Natl Univ, Dept Biotechnol & Biochem Engn, 77 Yongbong Ro, Gwangju 61186, South Korea; Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea; Kyungpook Natl Univ, Adv Inst Water Ind, 80 Daehak Ro, Daegu 41566, South Korea | ; Shah, Syed Salman Ali/JCE-1663-2023; Choo, Kwang-Ho/A-3456-2016 | 57215722996; 55845961700; 57213039681; 7102083272 | chookh@knu.ac.kr; | JOURNAL OF MEMBRANE SCIENCE | J MEMBRANE SCI | 0376-7388 | 1873-3123 | 641 | SCIE | ENGINEERING, CHEMICAL;POLYMER SCIENCE | 2022 | 9.5 | 4.1 | 1.6 | 2025-06-25 | 22 | 21 | Biofouling control; Cell immobilization; Hydrophilic polymer; Live membrane; Quorum quenching | BIOREACTOR MBR; EFFICIENT; SEPARATION; OPERATION; ACYLASE; FLUX | Biofouling control; Cell immobilization; Hydrophilic polymer; Live membrane; Quorum quenching | Bacteria; Biodegradation; Cost Effectiveness; Quenching; Water Repellence; Wettability; Bacteria; Biodegradation; Biofilms; Biofouling; Biopolymers; Bioreactors; Coremaking; Cost effectiveness; Hydrophilicity; Hydrophobicity; Membrane fouling; Quenching; Rate constants; Wastewater reclamation; Water conservation; Water filtration; Wetting; biopolymer; lactone derivative; polymer; polyvinyl alcohol; povidone; Antibiofouling; Bacterial strains; Biofouling control; Core material; Hydrophilic polymers; Live membrane; Membrane filters; Quorum quenching; Water desalination; Water reuse; Article; attenuated total reflectance Fourier transform infrared spectroscopy; bacterial strain; biochemical analysis; confocal laser scanning microscopy; controlled study; first order rate constant; fouling control; immobilization; immobilized cell; nonhuman; quorum quenching; surface property; water permeability; Wastewater treatment | English | 2022 | 2022-01-01 | 10.1016/j.memsci.2021.119895 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Measurement of the Higgs boson width and evidence of its off-shell contributions to ZZ production | Since the discovery of the Higgs boson in 2012, detailed studies of its properties have been ongoing. Besides its mass, its width-related to its lifetime-is an important parameter. One way to determine this quantity is to measure its off-shell production, where the Higgs boson mass is far away from its nominal value, and relating it to its on-shell production, where the mass is close to the nominal value. Here we report evidence for such off-shell contributions to the production cross-section of two Z bosons with data from the CMS experiment at the CERN Large Hadron Collider. We constrain the total rate of the off-shell Higgs boson contribution beyond the Z boson pair production threshold, relative to its standard model expectation, to the interval [0.0061, 2.0] at the 95% confidence level. The scenario with no off-shell contribution is excluded at a p-value of 0.0003 (3.6 standard deviations). We measure the width of the Higgs boson as Gamma(H) = 3.2(-1.7)(+2.4) MeV, in agreement with the standard model expectation of 4.1 MeV. In addition, we set constraints on anomalous Higgs boson couplings to W and Z boson pairs. | Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Del Valle, A. Escalante; Fruhwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I; Paulitsch, P.; Pitters, F. M.; Schieck, J.; Schofbeck, R.; Schwarz, D.; Templ, S.; Waltenberger, W.; Wulz, C-E; Chekhovsky, V; Litomin, A.; Makarenko, V; Darwish, M. R.; De Wolf, E. A.; Janssen, T.; Kello, T.; Lelek, A.; Sfar, H. Rejeb; Van Mechelen, P.; Van Putte, S.; Van Remortel, N.; Bols, E. S.; D'Hondt, J.; De Moor, A.; Delcourt, M.; El Faham, H.; Lowette, S.; Moortgat, S.; Morton, A.; Muller, D.; Sahasransu, A. R.; Tavernier, S.; Van Doninck, W.; Vannerom, D.; Beghin, D.; Bilin, B.; Clerbaux, B.; De Lentdecker, G.; Favart, L.; Kalsi, A. K.; Lee, K.; Mahdavikhorrami, M.; Makarenko, I; Paredes, S.; Petre, L.; Popov, A.; Postiau, N.; Starling, E.; Thomas, L.; Vanden Bemden, M.; Vander Velde, C.; Vanlaer, P.; Cornelis, T.; Dobur, D.; Knolle, J.; Lambrecht, L.; Mestdach, G.; Niedziela, M.; Rendon, C.; Roskas, C.; Samalan, A.; Skovpen, K.; Tytgat, M.; Van den Bossche, N.; Vermassen, B.; Wezenbeek, L.; Benecke, A.; Bethani, A.; Bruno, G.; Bury, F.; Caputo, C.; David, P.; Delaere, C.; Donertas, I. S.; Giammanco, A.; Jaffel, K.; Jain, Sa; Lemaitre, V; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Teklishyn, M.; Tran, T. T.; Vischia, P.; Wertz, S.; Alves, G. A.; Hensel, C.; Moraes, A.; Teles, P. Rebello; Alda Junior, W. L.; Gallo Pereira, M. Alves; Ferreira Filho, M. Barroso; Malbouisson, H. Brandao; Carvalho, W.; Chinellato, J.; Da Costa, E. M.; Da Silveira, G. G.; Damiao, D. De Jesus; Sousa, V. Dos Santos; De Souza, S. Fonseca; Herrera, C. Mora; Amarilo, K. Mota; Mundim, L.; Nogima, H.; Santoro, A.; Silva Do Amaral, S. M.; Sznajder, A.; Thiel, M.; Da Silva De Araujo, F. Torres; Pereira, A. Vilela; Bernardes, C. A.; Calligaris, L.; Fernandez Perez Tomei, T. R.; Gregores, E. M.; Lemos, D. S.; Mercadante, P. G.; Novaes, S. F.; Padula, Sandra S.; Aleksandrov, A.; Antchev, G.; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Dimitrov, A.; Ivanov, T.; Litov, L.; Pavlov, B.; Petkov, P.; Petrov, A.; Cheng, T.; Javaid, T.; Mittal, M.; Wang, H.; Yuan, L.; Ahmad, M.; Bauer, G.; Dozen, C.; Hu, Z.; Martins, J.; Wang, Y.; Yi, K.; Chapon, E.; Chen, G. M.; Chen, H. S.; Chen, M.; Iemmi, F.; Kapoor, A.; Leggat, D.; Liao, H.; Liu, Z-A; Milosevic, V; Monti, F.; Sharma, R.; Tao, J.; Thomas-Wilsker, J.; Wang, J.; Zhang, H.; Zhao, J.; Agapitos, A.; An, Y.; Ban, Y.; Chen, C.; Levin, A.; Li, Q.; Lyu, X.; Mao, Y.; Qian, S. J.; Wang, D.; Xiao, J.; Yang, H.; Lu, M.; You, Z.; Gao, X.; Okawa, H.; Zhang, Y.; Lin, Z.; Xiao, M.; Avila, C.; Cabrera, A.; Florez, C.; Fraga, J.; Mejia Guisao, J.; Ramirez, F.; Ruiz Alvarez, J. D.; Giljanovic, D.; Godinovic, N.; Lelas, D.; Puljak, I; Antunovic, Z.; Kovac, M.; Sculac, T.; Brigljevic, V; Ferencek, D.; Majumder, D.; Roguljic, M.; Starodumov, A.; Susa, T.; Attikis, A.; Christoforou, K.; Kole, G.; Kolosova, M.; Konstantinou, S.; Mousa, J.; Nicolaou, C.; Ptochos, F.; Razis, P. A.; Rykaczewski, H.; Saka, H.; Finger, M.; Finger, M., Jr.; Kveton, A.; Ayala, E.; Jarrin, E. Carrera; Abdalla, H.; Salama, E.; Mahmoud, M. A.; Mohammed, Y.; Bhowmik, S.; Dewanjee, R. K.; Ehataht, K.; Kadastik, M.; Nandan, S.; Nielsen, C.; Pata, J.; Raidal, M.; Tani, L.; Veelken, C.; Eerola, P.; Kirschenmann, H.; Osterberg, K.; Voutilainen, M.; Bharthuar, S.; Brucken, E.; Garcia, F.; Havukainen, J.; Kim, M. S.; Kinnunen, R.; Lampen, T.; Lassila-Perini, K.; Lehti, S.; Linden, T.; Lotti, M.; Martikainen, L.; Myllymaki, M.; Ott, J.; Rantanen, M. M.; Siikonen, H.; Tuominen, E.; Tuominiemi, J.; Luukka, P.; Petrow, H.; Tuuva, T.; Amendola, C.; Besancon, M.; Couderc, F.; Dejardin, M.; Denegri, D.; Faure, J. L.; Ferri, F.; Ganjour, S.; Gras, P.; De Monchenault, G. Hamel; Jarry, P.; Lenzi, B.; Malcles, J.; Rander, J.; Rosowsky, A.; Sahin, M. O.; Savoy-Navarro, A.; Simkina, P.; Titov, M.; Yu, G. B.; Ahuja, S.; Beaudette, F.; Bonanomi, M.; Perraguin, A. Buchot; Busson, P.; Cappati, A.; Charlot, C.; Davignon, O.; Diab, B.; Falmagne, G.; Alves, B. A. Fontana Santos; Ghosh, S.; De Cassagnac, R. Granier; Hakimi, A.; Kucher, I; Motta, J.; Nguyen, M.; Ochando, C.; Paganini, P.; Rembser, J.; Salerno, R.; Sarkar, U.; Sauvan, J. B.; Sirois, Y.; Tarabini, A.; Zabi, A.; Zghiche, A.; Agram, J-L; Andrea, J.; Apparu, D.; Bloch, D.; Bourgatte, G.; Brom, J-M; Chabert, E. C.; Collard, C.; Darej, D.; Fontaine, J-C; Goerlach, U.; Grimault, C.; Le Bihan, A-C; Nibigira, E.; Van Hove, P.; Asilar, E.; Beauceron, S.; Bernet, C.; Boudoul, G.; Camen, C.; Carle, A.; Chanon, N.; Contardo, D.; Depasse, P.; El Mamouni, H.; Fay, J.; Gascon, S.; Gouzevitch, M.; Ille, B.; Laktineh, I. B.; Lattaud, H.; Lesauvage, A.; Lethuillier, M.; Mirabito, L.; Perries, S.; Shchablo, K.; Sordini, V; Touquet, G.; Vander Donckt, M.; Viret, S.; Lomidze, I; Toriashvili, T.; Tsamalaidze, Z.; Botta, V; Feld, L.; Klein, K.; Lipinski, M.; Meuser, D.; Pauls, A.; Roewert, N.; Schulz, J.; Teroerde, M.; Dodonova, A.; Eliseev, D.; Erdmann, M.; Fackeldey, P.; Fischer, B.; Hebbeker, T.; Hoepfner, K.; Ivone, F.; Mastrolorenzo, L.; Merschmeyer, M.; Meyer, A.; Mocellin, G.; Mondal, S.; Mukherjee, S.; Noll, D.; Novak, A.; Pozdnyakov, A.; Rath, Y.; Reithler, H.; Schmidt, A.; Schuler, S. C.; Sharma, A.; Vigilante, L.; Wiedenbeck, S.; Zaleski, S.; Dziwok, C.; Fluegge, G.; Ahmad, W. Haj; Hlushchenko, O.; Kress, T.; Nowack, A.; Pooth, O.; Roy, D.; Stahl, A.; Ziemons, T.; Zotz, A.; Petersen, H. Aarup; Martin, M. Aldaya; Asmuss, P.; Baxter, S.; Bayatmakou, M.; Behnke, O.; Martinez, A. Bermudez; Bhattacharya, S.; Bin Anuar, A. A.; Blekman, F.; Borras, K.; Brunner, D.; Campbell, A.; Cardini, A.; Cheng, C.; Colombina, F.; Rodriguez, S. Consuegra; Silva, G. Correia; De Silva, M.; Didukh, L.; Eckerlin, G.; Eckstein, D.; Banos, L. I. Estevez; Filatov, O.; Gallo, E.; Geiser, A.; Giraldi, A.; Greau, G.; Grohsjean, A.; Guthoff, M.; Jafari, A.; Jomhari, N. Z.; Jung, H.; Kasem, A.; Kasemann, M.; Kaveh, H.; Kleinwort, C.; Kogler, R.; Kruecker, D.; Lange, W.; Lipka, K.; Lohmann, W.; Mankel, R.; Melzer-Pellmann, I-A; Morentin, M. Mendizabal; Metwally, J.; Meyer, A. B.; Meyer, M.; Mnich, J.; Mussgiller, A.; Nuernberg, A.; Otarid, Y.; Adan, D. Perez; Pitzl, D.; Raspereza, A.; Lopes, B. Ribeiro; Ruebenach, J.; Saggio, A.; Saibel, A.; Savitskyi, M.; Scham, M.; Scheurer, V; Schnake, S.; Schuetze, P.; Schwanenberger, C.; Shchedrolosiev, M.; Ricardo, R. E. Sosa; Stafford, D.; Tonon, N.; Van De Klundert, M.; Vazzoler, F.; Walsh, R.; Walter, D.; Wang, Q.; Wen, Y.; Wichmann, K.; Wiens, L.; Wissing, C.; Wuchterl, S.; Aggleton, R.; Albrecht, S.; Bein, S.; Benato, L.; Connor, P.; De Leo, K.; Eich, M.; El Morabit, K.; Feindt, F.; Froehlich, A.; Garbers, C.; Garutti, E.; Gunnellini, P.; Hajheidari, M.; Haller, J.; Hinzmann, A.; Kasieczka, G.; Klanner, R.; Kramer, T.; Kutzner, V; Lange, J.; Lange, T.; Lobanov, A.; Malara, A.; Matthies, C.; Mehta, A.; Moureaux, L.; Nigamova, A.; Rodriguez, K. J. Pena; Rieger, M.; Rieger, O.; Schleper, P.; Schroeder, M.; Schwandt, J.; Sonneveld, J.; Stadie, H.; Steinbrueck, G.; Tews, A.; Zoi, I; Bechtel, J.; Brommer, S.; Burkart, M.; Butz, E.; Caspart, R.; Chwalek, T.; De Boer, W.; Dierlamm, A.; Droll, A.; Faltermann, N.; Giffels, M.; Gosewisch, J. O.; Gottmann, A.; Hartmann, F.; Heidecker, C.; Husemann, U.; Keicher, P.; Koppenhoefer, R.; Maier, S.; Mitra, S.; Mueller, Th; Neukum, M.; Quast, G.; Rabbertz, K.; Rauser, J.; Savoiu, D.; Schnepf, M.; Seith, D.; Shvetsov, I; Simonis, H. J.; Ulrich, R.; Van Der Linden, J.; Von Cube, R. F.; Wassmer, M.; Weber, M.; Wieland, S.; Wolf, R.; Wozniewski, S.; Wunsch, S.; Anagnostou, G.; Daskalakis, G.; Kyriakis, A.; Loukas, D.; Stakia, A.; Diamantopoulou, M.; Karasavvas, D.; Kontaxakis, P.; Koraka, C. K.; Manousakis-Katsikakis, A.; Panagiotou, A.; Papavergou, I; Saoulidou, N.; Theofilatos, K.; Tziaferi, E.; Vellidis, K.; Vourliotis, E.; Bakas, G.; Kousouris, K.; Papakrivopoulos, I; Tsipolitis, G.; Zacharopoulou, A.; Adamidis, K.; Bestintzanos, I; Evangelou, I; Foudas, C.; Gianneios, P.; Katsoulis, P.; Kokkas, P.; Manthos, N.; Papadopoulos, I; Strologas, J.; Csanad, M.; Farkas, K.; Gadallah, M. M. A.; Lokos, S.; Major, P.; Mandal, K.; Pasztor, G.; Radl, A. J.; Suranyi, O.; Veres, G., I; Bartok, M.; Bencze, G.; Hajdu, C.; Horvath, D.; Sikler, F.; Veszpremi, V.; Czellar, S.; Fasanella, D.; Fienga, F.; Karancsi, J.; Molnar, J.; Szillasi, Z.; Teyssier, D.; Raics, P.; Trocsanyi, Z. L.; Ujvari, B.; Csorgo, T.; Nemes, F.; Novak, T.; Bahinipati, S.; Kar, C.; Mal, P.; Mishra, T.; Bindhu, V. K. Muraleedharan Nair; Nayak, A.; Saha, P.; Sur, N.; Swain, S. K.; Vats, D.; Bansal, S.; Beri, S. B.; Bhatnagar, V; Chaudhary, G.; Chauhan, S.; Dhingra, N.; Gupta, R.; Kaur, A.; Kaur, H.; Kaur, M.; Kumari, P.; Meena, M.; Sandeep, K.; Singh, J. B.; Virdi, A. K.; Ahmed, A.; Bhardwaj, A.; Choudhary, B. C.; Gola, M.; Keshri, S.; Kumar, A.; Naimuddin, M.; Priyanka, P.; Ranjan, K.; Saumya, S.; Shah, A.; Bharti, M.; Bhattacharya, R.; Bhattacharya, S.; Bhowmik, D.; Dutta, S.; Dutta, S.; Gomber, B.; Maity, M.; Palit, P.; Rout, P. K.; Saha, G.; Sahu, B.; Sarkar, S.; Sharan, M.; Behera, P. K.; Behera, S. C.; Kalbhor, P.; Komaragiri, J. 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R.; Quach, D.; Reichert, J.; Reid, M.; Ryd, A.; Sun, W.; Thom, J.; Wittich, P.; Zou, R.; Albrow, M.; Alyari, M.; Apollinari, G.; Apresyan, A.; Apyan, A.; Bauerdick, L. A. T.; Berry, D.; Berryhill, J.; Bhat, P. C.; Burkett, K.; Butler, J. N.; Canepa, A.; Cerati, G. B.; Cheung, H. W. K.; Chlebana, F.; Di Petrillo, K. F.; Dickinson, J.; Elvira, V. D.; Feng, Y.; Freeman, J.; Gandrakota, A.; Gecse, Z.; Gray, L.; Green, D.; Grunendahl, S.; Gutsche, O.; Harris, R. M.; Heller, R.; Herwig, T. C.; Hirschauer, J.; Jayatilaka, B.; Jindariani, S.; Johnson, M.; Joshi, U.; Klijnsma, T.; Klima, B.; Kwok, K. H. M.; Lammel, S.; Lincoln, D.; Lipton, R.; Liu, T.; Madrid, C.; Maeshima, K.; Mantilla, C.; Mason, D.; Mcbride, P.; Merkel, P.; Mrenna, S.; Nahn, S.; Ngadiuba, J.; Papadimitriou, V; Pastika, N.; Pedro, K.; Pena, C.; Ravera, F.; Hall, A. 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CNR, Ist Officina Mat, Perugia, Italy; Univ Kebangsaan Malaysia, Fac Sci & Technol, Dept Appl Phys, Bangi, Malaysia; Consejo Nacl Ciencia & Technol, Mexico City, DF, Mexico; Uzbek Acad Sci, Inst Nucl Phys, Tashkent, Uzbekistan; St Petersburg Polytech Univ, St Petersburg, Russia; Budker Inst Nucl Phys, Novosibirsk, Russia; Eastern Univ, Trincomalee Campus, Nilaveli, Sri Lanka; Univ Pavia, Sez Pavia, Ist Nazl Fis Nucl, Pavia, Italy; Ecole Polytech Fed Lausanne, Lausanne, Switzerland; Stefan Meyer Inst Subatom Phys, Vienna, Austria; IN2P3 CNRS, Lab Annecy Le Vieux Phys Particules, Annecy Le Vieux, France; Srnak Univ, Sirnak, Turkey; Near East Univ, Res Ctr Expt Hlth Sci, Nicosia, Turkey; Konya Tech Univ, Konya, Turkey; Piri Reis Univ, Istanbul, Turkey; Adiyaman Univ, Adiyaman, Turkey; Necmettin Erbakan Univ, Konya, Turkey; Bozok Univ Rektorlugu, Yozgat, Turkey; Marmara Univ, Istanbul, Turkey; Milli Savunma Univ, Istanbul, Turkey; Kafkas Univ, Kars, Turkey; Istanbul Bilgi Univ, Istanbul, Turkey; Hacettepe Univ, Ankara, Turkey; Istanbul Univ Cerrahpasa, Fac Engn, Istanbul, Turkey; Ozyegin Univ, Istanbul, Turkey; Univ Southampton, Sch Phys & Astron, Southampton, Hants, England; Univ Durham, IPPP, Durham, England; Monash Univ, Fac Sci, Clayton, Vic, Australia; Bethel Univ, St Paul, MN USA; Karamanoglu Mehmetbey Univ, Karaman, Turkey; US Naval Acad, Annapolis, MD 21402 USA; Bingol Univ, Bingol, Turkey; Sinop Univ, Sinop, Turkey; Erciyes Univ, Kayseri, Turkey; Texas A&M Univ Qatar, Doha, Qatar | Creanza, Donato/KIC-8791-2024; Ivanov, Andrew/A-7982-2013; Gerosa, Raffaele/AGL-6079-2022; Leonardo, Nuno/M-6940-2016; Bortignon, Pierluigi/AAF-6561-2020; KIM, Tae/P-7848-2015; Pasztor, Gabriella/D-9716-2016; Langenegger, Urs/A-4578-2008; Blekman, Freya/ABD-7916-2020; Ye, Zhihong/E-6651-2017; Yazgan, Efe/C-4521-2014; De La Cruz Burelo, Eduard/Q-6021-2019; Demiroglu, Zuhal Seyma/A-5168-2016; Gennai, Simone/P-2880-2015; Ramos, Juan/AAF-3114-2019; Ambrozas, Marijus/F-5551-2018; Behera, Prafulla/AAK-8686-2020; 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Colaleo, Anna/HSG-1637-2023; Rossi, Biagio/F-4137-2018; Pastrone, Nadia/JRZ-0528-2023; Dermenev, Alexander/M-4979-2013; My, Salvatore/I-5160-2015; d'Enterria, David/W-7763-2019; Martin Perez, Cristina/MEP-9682-2025; Zhang, YingLang/AGZ-8733-2022; Zolkapli, Zukhaimira/AAA-4039-2019; Poudyal, Nabin/AAA-7981-2020; Güler, Ali Murat/ABB-3382-2020; Mousa, Jehad/I-8019-2019; Biino, Cristina/AAF-1585-2020; Fouz Iglesias, Maria Cruz/AAF-1105-2019; Hoh, Siewyan/AAM-9562-2021; Mussgiller, Andreas/AAF-6933-2019; Fernandez Perez Tomei, Thiago Rafael/E-7091-2012; Pedraza Morales, Maria Isabel/ABC-7289-2021; Venturi, Andrea/J-1877-2012; Ganjour, Serguei/D-8853-2011; Saygin, Kadir/AAX-5235-2021; Mrenna, Stephen/KIL-6081-2024; Morovic, Srecko/T-9019-2019; Sanchez-Hernandez, Alberto/L-4955-2017; zheng, yan/JKJ-3632-2023; Pereira, Matheus/A-2346-2015; Nielsen, Christine/KJL-2209-2024; Verma, Rajesh/GQZ-2300-2022; ASILAR, Ece/KEI-3075-2024; Andreev, Vladimir/E-3618-2019; Chen, Xun/O-1019-2015; Hall-Wilton, Richard/U-6918-2019; 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Organtini, Giovanni/D-3990-2009; Lange, Torben/HOH-4787-2023; Donato, Silvio/GPK-2262-2022; Yu, Yongqiang/ABF-7512-2021; Mora Herrera, Maria Clemencia/AAD-6466-2021; Skoro, Goran/F-3642-2010; Grzanka, Leszek/M-9052-2018; Yuldashev, Bekhzod/AAA-5876-2021; Mota Amarilo, Kevin/JCE-6631-2023; Simsek, Ali Eren/AFO-3050-2022; Salama, Elsayed/K-8318-2019; Chadeeva, Marina/M-9644-2019; Kumar, Dinesh/ITU-5674-2023; Navarro-Tobar, Alvaro/K-7864-2014; Hernández Calama, José María/AAW-6394-2021; Dai, Yuxiang/JGC-6867-2023; Sen, S./C-6473-2014; Kirakosyan, Martin/N-2701-2015; Viliani, Lorenzo/AAU-3462-2021; Reis, Tomas/JHS-4868-2023; Hall, Jeter/F-6108-2013; Filatov, Oleg/V-9680-2017; Hebbeker, Thomas/L-4073-2013; Waltenberger, Wolfgang/H-9330-2018; Kyberd, Paul/P-1092-2014; ciocci, maria/I-2153-2015; Ogul, Hasan/S-7951-2016; Aimè, Chiara/GXG-4131-2022; Mejia Guisao, Jhovanny/ABG-3627-2021; Casarsa, Massimo/L-3623-2018; tsamalaidze, zviadi/U-6949-2019; Jafari, Abideh/JVP-2320-2024; Gülmez, Erhan/P-9518-2015; 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Bonacorsi, Daniele/F-1505-2014; Voytishin, Nikolay/IYJ-7234-2023; Wang, Hui/GLT-7990-2022; Reyes-Almanza, Rogelio/GQJ-8236-2022; Sola, Valentina/E-7726-2015; Quijada, Javier/AAS-4234-2021; Liu, Song/KCX-6842-2024; Lee, Suhyun/AAA-3368-2022; Primavera, Federica/KUD-4067-2024; Dozen, Candan/IQS-4597-2023; Watson, Ian/IAM-9344-2023; de Souza Sandro, Fonseca/ABB-8505-2020; Bourilkov, Dimitri/AAO-4908-2020; Jain, Shikha/ADG-6788-2022; Steggemann, Jan/AAL-5700-2020; Meridiani, Paolo/ABH-1655-2020; Květoň, Antonín/AAA-9178-2020; Ragazzi, Stefano/D-2463-2009; Mercadante, Pedro/K-1918-2012; Stahl, Achim/E-8846-2011; li, jia/GVT-7587-2022; Benaglia, Andrea/AGF-5495-2022; Corte-Leon, Paula/K-9094-2017; Amapane, Nicola/HDN-9630-2022; Malawski, Maciej/H-9119-2012; Moon, Chang-Seong/J-3619-2014; Verdini, Piero/J-2839-2012; Felcini, Marta/S-2684-2019; Orlando, Nicola/AAL-1723-2021; gomez, marina/I-7072-2012; Skovpen, Kirill/HKM-3974-2023; Gonzalez, Josefa/AAH-6071-2019; Jeitler, Manfred/H-3106-2012; Kharlamova, Tatyana/AAQ-5430-2020; YU, SHIN-SHAN/JPW-8635-2023; Ott, Jörg/G-2379-2013; Dharmaratna, Welathantri/F-6745-2018; Dallavalle, Gaetano Marco/AFW-4654-2022; Li, Qiang/AGK-6990-2022; Malakhov, Alexander/D-5702-2016; Sznajder, Andre/L-1621-2016; Veckalns, Viesturs/AAZ-3105-2020; Trocino, Daniele/AGI-2155-2022; Seixas, Joao/F-5441-2013; Nguyen, Vu/AAQ-5062-2020; Luukka, Panja/S-8956-2018; Mahmoud, Mohammed/AAD-1249-2019; Belyaev, Alexander/F-6637-2015; Pantaleo, Francesca/AAV-4919-2020; Puljak, Ivica/D-8917-2017; SIMSEK, Ali Eren/AFO-3050-2022; Pavlov, Borislav/O-8491-2018; Gütay, Levent/C-5352-2009; Kim, Victor/L-1648-2013; Novák, Tibor/S-4697-2017; Amendola, Chiara/KCK-3814-2024; Kašpar, Jan/H-2598-2014; Menasce, Dario/A-2168-2016; Milosevic, Jelena/ABG-9850-2020; Kim, Mee/E-7234-2015; Osherson, Marc/LWZ-8687-2024; mohammed, yasser/P-1462-2016; Marin, Jose/K-6412-2014; siviero, federico/LXA-5818-2024; Gleyzer, Sergei/AAE-6726-2020; Pinna Angioni, Gian Luca/AAZ-6834-2021; Scodellaro, Luca/K-9091-2014; Khvedelidze, Arsen/AAF-5025-2020; Van Remortel, Nick/AGQ-7045-2022; Hu, Zihan/LCE-0528-2024; Maselli, Silvia/J-1599-2012; KUMAR, ASHOK/AAB-8729-2019; Kumar, Mukesh/AAB-5095-2020; Sunar Cerci, Deniz/AHE-1706-2022; Hegeman, Jeroen/HJA-1005-2022; Alison, Jamie/AAD-5013-2022; Yang, Hai/JQI-4956-2023; Ovtin, Ivan/AAM-8892-2021; Dutta, Ipsita/JDW-8207-2023; Malik, Sudhir/D-6621-2018; Sonnadara, Upul/E-6359-2010; Singh, J B/IXD-2130-2023; Li, Yifei/GYA-2567-2022; Zhang, Youyou/KCY-0810-2024; Ligabue, Franco/F-3432-2014; Obertino, Maria/ABH-1662-2020; Gandrajula, Reddy/AFR-4403-2022; Josa, Isabel/K-5184-2014; Ozdemir, Kadri/P-8058-2014; Bertacchi, Valerio/KFQ-6990-2024; Gozalez-Lopez, Oscar/AAH-3533-2019; dumanoglu, isa/C-3627-2018; Zorbilmez, Caglar/ABH-1905-2020; Fienga, Francesco/HKE-1204-2023; Selvaggi, Michele/CAJ-2129-2022; Tumasyan, Armen/P-3390-2015; Roguljic, Matej/NMJ-5801-2025; Marinelli, Nancy/MCJ-3716-2025; Ryutin, Roman/P-3615-2015; Heredia de la Cruz, Ivan/L-2610-2018; ASILAR, Ece/ABC-4577-2020; Schwarz, Dominik/A-7681-2010; Smirnov, Vitaly/B-5001-2017; Tcherniaev, Evgueni/G-3453-2016; Lezki, Samet/AAG-8277-2019; ciocci, maria agnese/I-2153-2015; Zhou, You/ABH-2989-2021; Dewanjee, Ram Krishna/AFE-3468-2022; candelise, vieri/H-2195-2015; Petrucciani, Giovanni/AAM-8482-2020; Polatoz, Ayse/AAF-6722-2021; Iorio, Alberto Orso Maria/GXA-0233-2022; Malbouisson, H./N-6733-2015; Garutti, Erika/NRY-4813-2025; Voevodina, Elena/G-7314-2016; Shopova, Mariana/HKW-0149-2023; Ceccarelli, Rudy/JTU-5218-2023; Piperov, Stefan/Q-1980-2017; Lu, Rui/KCJ-8212-2024; Presilla, Matteo/MGW-3532-2025; Ciulli, Vitaliano/ABC-5440-2020; li, jing/KHY-5337-2024; Yalvac, Metin/LYP-1776-2024; Okhotnikov, Vitalii/O-4293-2017; Maier, Benedikt/AAN-1929-2021; Hlushchenko, Olena/AAC-8972-2022; Chistov, Ruslan/R-5574-2019; Wang, Shan-Li/C-6016-2008; Elkafrawy, Tamer/HPF-5873-2023; Fanò, Livio/K-2460-2015; Calligaris, Luigi/K-2018-2017; Pásztor, Gabriella/D-9716-2016; kasem, Ashraf/GMX-4925-2022; Ferro, Fabrizio/HMP-5516-2023; Navarro-Tobar, Álvaro/K-7864-2014; Boimska, Bożena/Z-6088-2019; Hernandez Calama, Jose Maria/H-9127-2015; Puerta Pelayo, Jesus/L-1632-2014; Pompili, Alexis/ISU-8813-2023; Hill, Christopher/B-5371-2012; Giammanco, Andrea/O-5017-2019; De Filippis, Nicola/AAD-6280-2019; TUVE, Cristina/P-3933-2015; tosi, mia/J-5777-2012; Hobson, Peter/C-8919-2016; Lychkovskaya, Natalia/F-8341-2017; Bharthuar, Shudhashil/GQB-2619-2022; Kalsi, Amandeep Kaur/JNR-9607-2023; Belyaev, Andrey/E-1540-2012; Marinho, Franciole/N-8101-2014; Heredia De La Cruz, Ivan/L-2610-2018; Boimska, Bozena/Z-6088-2019; Roy, Ashim/HLV-9248-2023; Gil Da Silveira, Gustavo/N-7279-2014; Antequera, Jorge/AAH-7922-2020; Chang, Philip/AAN-3350-2021; Theofilatos, Konstantinos/AAL-9162-2021; Barria, Patrizia/AAT-3894-2020; , Luo/AAP-8401-2020; Bastos, Daniel/GZG-4209-2022; Petkov, Peicho/M-2080-2016; Minafra, Nicola/AAZ-6781-2020; Tiras, Emrah/ABG-2354-2020; Li, Tong/A-3182-2017; Marchese, Luigi/KPY-5779-2024; Lokos, Sandor/A-4798-2019; Shoaib, Muhammad/V-1862-2019 | 35222495600; 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35227973900; 57220521234; 55350384900; 56973389300; 35227159700; 37048454000; 57043822800; 35227367700; 57218261101; 57202847289; 51663846700; 56681723400; 57204005081; 55203009000; 56352741400; 12758816400; 57217797874; 57190728397; 56681986300; 57192521178; 57205307086; 57199997802; 55095942200; 9276392600; 58383218300; 36171331300; 57220737619; 57220064466; 57908413800; 57908457500; 57220064460; 55603522400; 57216997315; 57220064173; 57220064313; 57220064097; 57220064533; 57215664124; 57202522373; 57219648360; 57216596346; 35227365100; 57220064314; 57217841082; 57221685212; 57220064375; 24758954500; 57220064223; 23480738300; 57199996011; 57207983072; 22996761700; 57201370087; 56681988200; 57147084600; 55868435500; 57210751238; 35308730700; 8984617000; 57189693933; 7006404363; 57210312265; 7003879901; 57212676903; 57215670509; 36639963700; 56501874000; 36123824900; 57217021019; 57215610762; 16403346300; 57193206437; 56648200300; 57216948352 | NATURE PHYSICS | NAT PHYS | 1745-2473 | 1745-2481 | 18 | 11 | SCIE | PHYSICS, MULTIDISCIPLINARY | 2022 | 19.5 | 4.1 | 4.38 | 2025-06-25 | 48 | 56 | Shells (structures); Higgs boson; Its standards; Large Hadron Collider; Large-hadron colliders; Measurements of; Nominal values; Pair production; Production cross section; Property; Z Bosons; Bosons | English | 2022 | 2022-11 | 10.1038/s41567-022-01682-0 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||||
| ○ | Meeting Abstract | Role of bone SPECT/CT in Kienbock's disease | Hong, Chae Moon; Lee, Hyun-Joo; Kim, Do-Hoon; Ahn, Byeong-Cheol; Jeong, Shin Young; Lee, Sang-Woo; Lee, Jaetae | Kyungpook Natl Univ, Daegu, South Korea; Kyungpook Natl Univ Hosp, Daegu, South Korea | lee, sangwoo/KUD-1906-2024 | JOURNAL OF NUCLEAR MEDICINE | J NUCL MED | 0161-5505 | 1535-5667 | 63 | SCIE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | 2022 | 9.3 | 4.1 | 0 | English | 2022 | 2022-06-01 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | A novel organosilicon-type binder for LiCoO2 cathode in Li-ion batteries | The conventional binder used in LIBs, polyvinylidene fluoride (PVDF), possesses low mechanical ductility and weak affinity to electrode materials and therefore cannot prevent pulverization of the cathode materials or undesirable battery swelling after prolonged cycling. Herein, we introduce a novel organosilicon-type binder (S-binder), composed of siloxane (Si-O-Si), silanol (Si-O-H), and cyclohexene oxide (C6H10O) groups. It is demonstrated that S-binder exhibits the enhanced adhesion to the cathode, high elasticity, and great flexibility compared with PVDF, resulting in exceptionally improved electrochemical performances of LiCoO2. In terms of cyclability, S-binder-applied LiCoO2 electrode with high mass loading of the active material (similar to 8 mg cm(- 2)) exhibits outstanding capacity retention of similar to 92.0% compared with the initial capacity after 100 cycles. From industrial perspective, simulation of the slot-die coating on S-binder-and PVDF-applied slurries indicates the high competitiveness of S-binder compared with PVDF for the mass-production of LiCoO2 electrode for LIBs. | Ahn, Junho; Im, Hyeon-Gyun; Lee, Yongseok; Lee, Dasom; Jang, Hyekyeong; Oh, Youngseok; Chung, Kyeongwoon; Park, Teahoon; Um, Moon-Kwang; Yi, Jin Woo; Kim, Jongsoon; Kang, Dong Jun; Yoo, Jung-keun | Korea Inst Mat Sci KIMS, Carbon Composites Dept, Composites Res Div, 797 Changwondaero, Chang Won, South Korea; Korea Electrotechnol Res Inst KERI, Elect Mat Res Div, Chang Won 51543, South Korea; Sungkyunkwan Univ, Dept Energy Sci, Suwon 16419, South Korea; Sungkyunkwan Univ, SKKU Inst Energy Sci & Technol SIEST, Suwon 16419, South Korea; Kyungpook Natl Univ, Dept Biofibers & Biomat Sci, Daegu 41566, South Korea; Univ Sci & Technol UST, Adv Mat Engn Div, Daejeon 34113, South Korea | Kim, Jongsoon/G-5147-2012 | 55928966400; 57193880694; 57203914483; 57226845885; 57005976100; 55434026400; 56416916000; 36866427800; 7004503898; 7402731890; 12788986400; 16312037700; 49561920600 | jongsoonkim@skku.edu;kangdj@keri.re.kr; | ENERGY STORAGE MATERIALS | ENERGY STORAGE MATER | 2405-8297 | 2405-8289 | 49 | SCIE | CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY | 2022 | 20.4 | 4.2 | 2 | 2025-06-25 | 34 | 34 | High structural stability; Silicon-organic-based binder; Li-ion Batteries; Slot-die coating; First-principles calculation | First-principles calculation; High structural stability; Li-ion Batteries; Silicon-organic-based binder; Slot-die coating | Calculations; Cathodes; Coatings; Competition; Fluorine compounds; Lithium compounds; Silicon; Stability; Swelling; First principle calculations; High structural stability; LiCoO 2 cathode; Mechanical; Organics; Organosilicones; Polyvinylidene fluorides; Silicon-organic-based binder; Slot-die coatings; Structural stabilities; Lithium-ion batteries | English | 2022 | 2022-08 | 10.1016/j.ensm.2022.04.005 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Correction | A novel organosilicon-type binder for LiCoO2 cathode in Li-ion batteries (vol 49, pg 58, 2022) | Ahn, Junho; Im, Hyeon-Gyun; Lee, Yongseok; Lee, Dasom; Jang, Hyekyeong; Oh, Youngseok; Chung, Kyeongwoon; Park, Teahoon; Um, Moon-Kwang; Yi, Jin Woo; Kim, Jongsoon; Kang, Dong Jun; Yoo, Jung-Keun | Korea Inst Mat Sci KIMS, Carbon Composites Dept, Composites Res Div, 797 Changwondaero, Chang Won, South Korea; Korea Electrotechnol Res Inst KERI, Elect Mat Res Div, Chang Won 51543, South Korea; Sungkyunkwan Univ, Dept Energy Sci, Suwon 16419, South Korea; Sungkyunkwan Univ, SKKU Inst Energy Sci & Technol SIEST, Suwon 16419, South Korea; Kyungpook Natl Univ, Dept Biofibers & Biomat Sci, Daegu 41566, South Korea; Univ Sci & Technol UST, Adv Mat Engn Div, Daejeon 34113, South Korea | Kim, Jongsoon/G-5147-2012 | 55928966400; 57193880694; 57203914483; 57226845885; 57005976100; 55434026400; 56416916000; 36866427800; 7004503898; 7402731890; 12788986400; 16312037700; 49561920600 | jongsoonkim@skku.edu;kangdj@keri.re.kr;yoojk@kims.re.kr; | ENERGY STORAGE MATERIALS | ENERGY STORAGE MATER | 2405-8297 | 2405-8289 | 50 | SCIE | CHEMISTRY, PHYSICAL;MATERIALS SCIENCE, MULTIDISCIPLINARY;NANOSCIENCE & NANOTECHNOLOGY | 2022 | 20.4 | 4.2 | 0 | 2025-06-25 | 0 | 0 | English | 2022 | 2022-09 | 10.1016/j.ensm.2022.05.023 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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