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이봉희(Bonghee Lee),전보현(Bohyeon Jeon),강상모(Sangmo Kang) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.5
Research about butterfly valve's flow characteristics had been achieved about pressure loss factor of valve, cavitation, torque characteristics, flux control characteristics and valve performance etc. mainly. LNG must equip durability with enough intensity having intention because transport and stored in ultra low temperature state of - 162℃. Specially, when work migration, efficiency of valve and highly stability are required. But, an experiment is impossible effectively to problem of huge expense to embody a engineering experiment about cryogenic fluid flow. Therefore, achieved CFD analysis that allow to Reynolds averaged Navier- Stokes equation. It used commercial code CFX11.0 to achieve study hydromechanics about triple eccentric butterfly valve's flow characteristic and other physical design argument. At first, produced flow coefficient by CFD that apply water by working fluid. Because comparing it with typical value, verified validity. And that achieve analysis for cryogenic. state. Eddy flow and pressure change that develop to valve disk rear of various turbulence model in this study applied predictable k-w SST(Shear-Stress Transport) model comparatively
과거 교통정체 패턴을 이용한 현재의 교통정체 변화 판별 알고리즘
이경민(Kyungmin Lee),홍봉희(Bonghee Hong),정도성(Doseong Jeong),이지완(Jiwan Lee) 한국정보과학회 2015 정보과학회 컴퓨팅의 실제 논문지 Vol.21 No.1
본 논문에서는 과거 교통정체 패턴을 이용하여 현재의 교통정체가 풀리는 정체인지 아니면 악화되는 정체인지를 판별하는 알고리즘을 제안한다. 과거 교통정체 패턴은 다중 포인터를 이용하여 정체구간들을 연결한 인접 리스트에 교통정체의 시간적 길이와 공간적 길이로 저장된다. 교통정체가 시작된 구간에 해당하는 헤드노드를 탐색하고 현재패턴과 가장 유사한 과거 교통정체 패턴을 이용하여 장래의 교통정체 변화정보를 제공한다. 실험을 통해 검증한 결과, 도로 구간 하나에 대한 정체 변화를 판별하였을 때 실제 값과 비교해서 평균적으로 15분 오차를 보였으며, 연속된 다수의 도로 구간들을 결합하여 비교적 긴 구간의 정체 변화를 판별하였을 경우 평균적으로 10분 이내의 오차를 보이며 실제 값과 유사한 것을 보였다. In this paper, we proposed an algorithm for the identification of relieving or worsening current traffic congestion using historic traffic congestion patterns. Historical congestion patterns were placed in an adjacency list. The patterns were constructed to represent spatial and temporal length for status of a congested road. Then, we found information about historical traffic congestions that were similar to today’s traffic congestion and will use that information to show how to change traffic congestion in the future. The most similar pattern to current traffic status among the historical patterns corresponded to starting section of current traffic congestion. One of our experiment results had average error when we compared identified changes of the congestion for one of the sections in the congestion road by using our proposal and real traffic status. The average error was 15 minutes. Another result was for the long congestion road consisting of several sections. The average error for this result was within 10 minutes.
Cho, Jeong-Hwi,Yan, Bing Chun,Lee, Young Joo,Park, Joon Ha,Ahn, Ji Hyeon,Kim, In Hye,Lee, Jae-Chul,Kim, Young-Myeong,Lee, Bonghee,Cho, Jun Hwi,Won, Moo-Ho Kluwer Academic/Plenum Publishers 2013 Neurochem Res Vol.38 No.5
<P>Beta-catenin, a transcription factor, plays a critical role in cell survival and degradation after stroke. In this study, we examined changes of expression in beta-catenin in the hippocampal CA1 region of the gerbil following 5 min of transient cerebral ischemia. We observed neuronal damage using cresyl violet staining, neuronal nuclei immunohistochemistry and Fluro-Jade B immunofluorescence. Four days after ischemia-reperfusion (I-R), most of pyramidal cells in the CA1 region were damaged. In addition, early damage in dendrites was detected 1 day after I-R by immunohistochemical staining for microtubule-associated protein 2 (MAP-2), and MAP-2 immunoreactivity was hardly detected in the CA1 region 4 days after I-R. We found that beta-catenin (a synapse-enriched cell adhesion molecule) was well expressed in dendrites before I-R. Its immunoreactivity was well colocalized with MAP-2. Chronological change of beta-catenin immunoreactivity was novelty in the present study. Twelve hours after I-R, its immunoreactivity was decreased in the stratum radiatum of the CA1 region, however, its immunoreactivity was increased 1 and 2 days after I-R, and decreased sharply 4 days after I-R. However, we did not find any change in beta-catenin immunoreactivity in the CA2 and CA3 region. In brief, we suggest that early change of beta-catenin expression in the stratum pyramidale of ischemic hippocampal CA1 region is associated with early dendrite damage following transient cerebral ischemia.</P>
Son, Myeongjoo,Oh, Seyeon,Park, Hyunjin,Ahn, Hyosang,Choi, Junwon,Kim, Hyungho,Lee, Hye Sun,Lee, Sojung,Park, Hye-Jeong,Kim, Seung U.,Lee, Bonghee,Byun, Kyunghee Elsevier 2017 Brain, behavior, and immunity Vol.66 No.-
<P><B>Abstract</B></P> <P>Alzheimer's disease (AD), which is the most commonly encountered neurodegenerative disease, causes synaptic dysfunction and neuronal loss due to various pathological processes that include tau abnormality and amyloid beta (Aβ) accumulation. Aβ stimulates the secretion and the synthesis of Receptor for Advanced Glycation End products (RAGE) ligand by activating microglial cells, and has been reported to cause neuronal cell death in Aβ<SUB>1–42</SUB> treated rats and in mice with neurotoxin-induced Parkinson’s disease.</P> <P>The soluble form of RAGE (sRAGE) is known to reduce inflammation, and to decrease microglial cell activation and Aβ deposition, and thus, it protects from neuronal cell death in AD. However, sRAGE protein has too a short half-life for therapeutic purposes. We developed sRAGE-secreting umbilical cord derived mesenchymal stem cells (sRAGE-MSCs) to enhance the inhibitory effects of sRAGE on Aβ deposition and to reduce the secretion and synthesis of RAGE ligands in 5xFAD mice. In addition, these cells improved the viability of injected MSCs, and enhanced the protective effects of sRAGE by inhibiting the binding of RAGE and RAGE ligands in 5xFAD mice. These findings suggest sRAGE protein from sRAGE-MSCs has better protection against neuronal cell death than sRAGE protein or single MSC treatment by inhibiting the RAGE cell death cascade and RAGE-induce inflammation.</P> <P><B>Highlights</B></P> <P> <UL> <LI> sRAGE enhanced viability of MSCs in 5xFAD mice. </LI> <LI> sRAGE-MSCs showed low Aβ<SUB>1–42</SUB> levels and protective effects from RAGE-mediated neuronal cell death microglia activation in 5xFAD mice. </LI> <LI> Comparing sRAGE protein and MSCs, the sRAGE protein effectively modulated expression of RAGE ligands and control MSC has protective effects from neuron apoptosis in 5xFAD mice. </LI> </UL> </P>
Profiling human brain proteome by multi-dimensional separations coupled with MS
Park, Young Mok,Kim, Jin Young,Kwon, Kyung-Hoon,Lee, Sang Kwang,Kim, Young Hye,Kim, Se-Young,Park, Gun Wook,Lee, Jeong Hwa,Lee, Bonghee,Yoo, Jong Shin WILEY-VCH 2006 Proteomics Vol. No.
<P>In our initial attempt to analyze the human brain proteome, we applied multi-dimensional protein separation and identification techniques using a combination of sample fractionation, 1-D SDS-PAGE, and MS analysis. The complexity of human brain proteome requires multiple fractionation strategies to extend the range and total number of proteins identified. According to the method of Klose (Methods Mol. Biol. 1999, 112, 67), proteins of the temporal lobe of human brain were fractionated into (i) cytoplasmic and nucleoplasmic, (ii) membrane and other structural, and (iii) DNA-binding proteins. Each fraction was then separated by SDS-PAGE, and the resulting gel line was cut into approximately 50 bands. After trypsin digestion, the resulting peptides from each band were analyzed by RP-LC/ESI-MS/MS using an LTQ spectrometer. The SEQUEST search program, which searched against the IPI database, was used for peptide sequence identification, and peptide sequences were validated by reversed sequence database search and filtered by the Protein Hit Score. Ultimately, 1533 proteins could be detected from the human brain. We classified the identified proteins according to their distribution on cellular components. Among these proteins, 24% were membrane proteins. Our results show that the multiple separation strategy is effective for high-throughput characterization of proteins from complex proteomic mixtures.</P>