• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.342-342
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• 2016

국내 저수지 17,477개소 중 30~40 여년전에 축조된 곳은 16,646개소로 95.2%가 노후화로 인한 지속적인 유지보수가 필요하며, 기후변화에 따른 대응능력이 현저하게 낮다. 하구둑, 방조제, 대형 농업용저수지 같은 대규모 농업기반시설들은 축조 당시보다 설계홍수량이 2~3배 이상 증가함에 따라 기후변화에 대비하기 위해 조속한 치수능력 증대가 필요하다. 하지만 대형 농업용저수지의 치수능력 증대를 위해서는 지형적 입지조건, 시공 가능성, 경제성 등을 고려하여 여수로의 위치, 규모, 형식 변경 등이 수반된다. 따라서 본 연구에서는 무한천 상류 예당저수지의 여수로 위치변경에 따른 저수지 하류 하천 흐름변화에 대하여 2차원 수치모의 연구를 수행하였다. 본 연구에서는 TELEMAC-2D 모형을 적용하여 저수지 하류 하천의 흐름을 모의하였고, RMA-2 모의결과와 비교검토 하였다. TELEMAC-2D 모형은 상류(subcritical flow)와 사류(supercritical flow) 흐름 모의가 가능하며, 홍수범람 뿐만아니라 동일 격자망으로 유한요소법과 유한체적법 모두 수치모의가 가능한 특징이 있다. 본 연구에서는 시간과 공간에 대하여 2차 정확도를 가지는 WAF(Weighted Average Flux) 유한체적기법과 $k-{\varepsilon}$ 난류모형을 적용하였다. 수치모의시 유역종합치수계획의 30년, 50년, 100년 빈도 계획홍수량에 대하여 여수로 위치변경 전(CASE-1)과 위치변경 후(CASE-2) 저수지 하류하천 흐름변화에 대해 모의하였다. 본 연구는 국내 하천 특성을 반영한 기설 저수지의 하류하천의 흐름에 대한 수치모의의 기초자료로 활용되어, 저수지 방류 흐름이 하류하천에 미치는 영향 분석 등에 기여할 것으로 기대된다.

• Clinical and Experimental Reproductive Medicine
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• v.33 no.2
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• pp.125-132
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• 2006

Objective: In the previous study, we complied the differentially expressed genes during early folliculogenesis. Objective of the present study was to identify downstream target genes of transcription factors (TFs) using bioinformatics for selecting the target TFs among the gene lists for further functional analysis. Materials & Methods: By using bioinformatics tools, constituent domains were identified from database searches using Gene Ontology, MGI, and Entrez Gene. Downstream target proteins/genes of each TF were identified from database searches using TF database ($TRANSFAC^{(R)}$ 6.0) and eukaryotic promoter database (EPD). Results: DNA binding and trans-activation domains of all TFs listed previously were identified, and the list of downstream target proteins/genes was obtained from searches of TF database and promoter database. Based on the known function of identified downstream genes and the domains, 3 (HNF4, PPARg, and TBX2) out of 26 TFs were selected for further functional analysis. The genes of wee1-like protein kinase and p21WAF1 (cdk inhibitor) were identified as potential downstream target genes of HNF4 and TBX2, respectively. PPARg, through protein-protein interaction with other protein partners, acts as a transcription regulator of genes of EGFR, p21WAF1, cycD1, p53, and VEGF. Among the selected 3 TFs, further study is in progress for HNF4 and TBX2, since wee1-like protein kinase and cdk inhibitor may involved in regulating maturation promoting factor (MPF) activity during early folliculogenesis. Conclusions: Approach used in the present study, in silico analysis of downstream target genes, was useful for analyzing list of TFs obtained from high-throughput cDNA microarray study. To verify its binding and functions of the selected TFs in early folliculogenesis, EMSA and further relevant characterizations are under investigation.

• Journal of the Korean Society for Marine Environment & Energy
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• v.17 no.1
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• pp.27-35
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• 2014

The headspace solid-phase microextraction (HS-SPME) followed by gas chromatography/mass spectrometry procedure has been developed for the simultaneous determination of petroleum aromatic hydrocarbons such as benzene, toluene, ethylbenzene and xylene isomers (BTEX) and polycyclic aromatic hydrocarbons (PAHs) in seawater. The advantages of SPME compared to traditional methods of sample preparation are ease of operation, reuse of fiber, portable system, minimal contamination and loss of the sample during transport and storage. SPME fiber, extraction time, temperature, stirring speed, and GC desorption time were key extraction parameters considered in this study. Among three kinds of SPME fibers, i.e., PDMS ($100{\mu}m$), CAR/PDMS ($75{\mu}m$), and PDMS/DVB ($65{\mu}m$), a $65{\mu}m$ PDMS/DVB fiber showed the most optimal extraction efficiencies covering molecular weight ranging from 78 to 202. Other extraction parameters were set up using $65{\mu}m$ PDMS/DVB. The final optimized extraction conditions were extraction time (60 min), extraction temperature (50), stirring speed (750 rpm) and GC desorption time (3 min). When applied to artificially contaminated seawater like water accommodated fraction, our optimized HS-SPME-GC/MS showed comparable performances with other conventional method. The proposed protocol can be an attractive alternative to analysis of BTEX and PAHs in seawater.