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자가면역 췌장염의 동반증상 없이 발생한 IgG4 연관 경화성 담관염
천송욱 ( Song Wook Chun ),최자성 ( Ja Sung Choi ),강버들 ( Beo Deul Kang ),김유진 ( Yu Jin Kim ),한기준 ( Ki Jun Han ),조현근 ( Hyeon Geun Cho ),오화은 ( Hwa Eun Oh1 ),조재희 ( Jae Hee Cho ) 대한소화기학회 2013 대한소화기학회지 Vol.62 No.1
IgG4-related systemic diseases are characterized by a diffuse or mass forming inflammatory reaction rich in lymphocytes and IgG4-positive plasma cells (lymphoplasmacytic infiltration), fibrosclerosis of variable organs and obliterative phlebitis. They usually involve various organs including the pancreas, bile duct, gallbladder, salivary gland, retroperitoneum, kidney, lung, and prostate. However, most of them are accompanied by autoimmune pancreatitis, and good response to steroid treatment is one of the hallmarks of this disease. We report a case of an 67-year-old man with IgG4 associated sclerosing cholangitis, who was diagnosed by endoscopic retrograde cholangiopancreatography and successfully treated with steroid therapy. (Korean J Gastroenterol 2013; 62:69-74)
Oh, Seok-Young,Yoon, Hyun-Su,Jeong, Tae-Yong,Kim, Sang Don,Kim, Dong-Wook The Royal Society of Chemistry 2016 Environmental science Vol.18 No.7
<P>The oxidative and reductive transformation of nitro explosives in contaminated soils with Fe-bearing materials and persulfate (S2O82-) was examined via batch experiments. Zero-valent cast iron [Fe(0)], steel dust from a steel manufacturing plant, and FeS rapidly reduced 2,4,6-trinitrotoluene (TNT) and hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) in soil under anaerobic conditions as long as a sufficient amount of water was present. The Fe-bearing materials also effectively activated persulfate to enhance the oxidative transformation of TNT and RDX in soil-water systems. Kinetically, reductive and oxidative transformations removed more than 90% of the explosives from a soil-water system within 5 h under the given conditions. Pseudo-first-order rates in the range of 0.7-23.4 h(-1) were observed. By increasing the concentration of persulfate or Fe-bearing materials, the oxidative transformation could be promoted. Treated soils via redox reactions using the Fe-bearing materials did not show significant toxicity, except for the case of TNT-contaminated soils oxidized by FeS-assisted persulfate. Considering the kinetics of explosive degradation and the toxicity of treated wastewaters and soils, Fe(0) or steel dust-assisted persulfate oxidation may be a safe option as an ex situ remediation process for the treatment of explosive-contaminated soils.</P>
Oh, Joo Young,Song, Shin Ae,Jung, Kyeong Youl,Chang, Young-Wook,Kim, Kiyoung,Lim, Sung Nam,Jeong, Yong-Cheol Elsevier 2017 ELECTROCHIMICA ACTA Vol.253 No.-
<P><B>Abstract</B></P> <P>To enhance the photoelectric conversion efficiency of dye-sensitized solar cells (DSSCs), micron-size nanochannel TiO<SUB>2</SUB> particles were prepared by spray pyrolysis employing a triblock copolymer as a pore former. The as-prepared nanochannel TiO<SUB>2</SUB> was used to fabricate DSSC photoelectrodes, increasing the active area of TiO<SUB>2</SUB>/dye/electrolyte for improving charge transfer. Field emission scanning electron microscopy, transmission electron microscopy, and Brunauer-Emmett-Teller analyses were performed to determine the morphologies and characteristic properties (e.g., porosity) of TiO<SUB>2</SUB> particles with nanochannels obtained for various copolymer amounts. The synthesized TiO<SUB>2</SUB> was made into a paste and applied to DSSC photoelectrodes, resulting in a substantially increased photoconversion efficiency (7.76%) compared to that of a copolymer-free TiO<SUB>2</SUB>-based DSSC (3.55%). The amounts of impregnated dye in TiO<SUB>2</SUB>-based photoelectrode films prepared using various copolymer amounts were compared using UV–vis absorbance analysis, being substantially increased by triblock copolymer addition.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Oh, Sewoung,Jun, Dong Hwan,Shin, Keun Wook,Choi, InHye,Jung, Sang Hyun,Choi, JeHyuk,Park, Wonkyu,Park, Yongjo,Yoon, Euijoon IEEE 2016 IEEE journal of photovoltaics Vol.6 No.4
<P>We proposed a new scheme, controlling the crack formation by notch patterns, to fabricate self-isolated high-efficiency gallium arsenide (GaAs)-based solar cells on a silicon (Si) substrate. The notch patterns introduced into the Si substrate were found to successfully generate the crack-free areas of 2 mm x 2 mm size separated by the cracks for the 5.8-mu m-thick GaAs layers on it. The individual solar cells on the crack-free areas were confirmed to be electrically isolated from one another by the well-defined crack array. The open-circuit voltage and the efficiency of the crack-free cell were improved to 0.87 V and 18.0%, respectively, from 0.78 V and 14.7% for the cell with 33.2 cm(-1) of linear crack density.</P>
SOH Monitoring and RUL Estimation of Lithium-Ion Batteries Using Physics-Infused Deep Learning
Sung Wook Kim(김승욱),Ki-Yong Oh(오기용),Seungchul Lee(이승철) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.4
Lithium-ion battery, a reliable source of energy for various electronic products, are replaced when it reaches its end-of-life (EOL) defined as 80% of the initial capacity. Even though it is rechargeable, it suffers from irreversible capacity loss during repeated charge-discharge cycles since the inactive part of battery keeps growing as time passes by. Therefore, it is required to understand the behavior of capacity fade trend or estimate the state of health (SOH) in the long term to forecast the remaining useful life (RUL) of a battery so that users can replace it in the right time [1]. The conventional ways to estimate SOH and RUL are threefold: physics-based approach, data-driven approach, and hybrid approach [2, 3]. Although most previous studies focus on the first two methods for their prominent and distinctive advantages, the hybrid approach has recently been shown to have the potential to replace them as it leverages the strengths of both sides. In this study, physics-infused neural network, a recursive deep neural network designed based on a typical LiFePO battery degradation model which reflects the solid electrolyte interphase (SEI) formation inside a battery cell, is investigated for the estimation of SOH and RUL simultaneously in real-time. The proposed method outperforms a number of purely data-driven models such as MLP, LSTM, and CNN-LSTM implying the general guidance effect of physics infusion for parameter optimization in training. Such effect has been investigated by varying the number of train data, and also by removing the physics-based part of the recurrent neural network cell.
Multi-Point Aerodynamic Shape Optimization of Rotor Blades Using Unstructured Meshes
Sang Wook Lee,Oh Joon Kwon 한국항공우주학회 2007 International Journal of Aeronautical and Space Sc Vol.8 No.1
A multi-point aerodynamic shape optimization technique has been developed for helicopter rotor blades in hover based on a continuous adjoint method on unstructured meshes. The Euler flow solver and the continuous adjoint sensitivity analysis were formulated on the rotating frame of reference. The 'objective function and the sensitivity were obtained as a weighted sum of the values at each design point. The blade section contour was modified by using the Hicks-Henne shape functions. The mesh movement due to the blade geometry change was achieved by using a spring analogy. In order to handle the repeated evaluation of the design cycle efficiently, the flow and adjoint solvers were parallelized based on a domain decomposition strategy. A solution-adaptive mesh refinement technique was adopted for the accurate capturing of the wake. Applications were made to the aerodynamic shape optimization of the Caradonna-Tung rotor blades and the UH-60 rotor blades in hover.