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Polymorphisms in Apoptosis-Related Genes and <i>TP53</i> Mutations in Non-Small Cell Lung Cancer
Bae, Eun Young,Lee, Eun Jin,Kang, Hyo-Gyoung,Lee, Shin Yup,Jin, Gwang,Lee, Won Kee,Choi, Jin Eun,Jeon, Hyo-Sung,Lim, Jeong Ok,Lee, Eung Bae,Park, Jae Yong The Korean Academy of Medical Sciences 2011 JOURNAL OF KOREAN MEDICAL SCIENCE Vol.26 No.11
<P>Apoptosis plays an essential role in the elimination of mutated or transformed cells from the body. Therefore, polymorphisms of apoptosis-related genes may lead to an alteration in apoptotic capacity, thereby affecting the occurrence of <I>TP53</I> mutations in lung cancer. We investigated the relationship between potentially functional polymorphisms of apoptosis-related genes and <I>TP53</I> mutations in non-small cell lung cancer (NSCLC). Twenty-seven single nucleotide polymorphisms in 20 apoptosis-related genes were genotyped by a sequenome mass spectrometry-based genotyping assay in 173 NSCLCs and the associations with <I>TP53</I> mutations in the entire coding exons (exons 2-11), including splicing sites of the gene, were analyzed. None of the 27 polymorphisms was significantly associated with the occurrence of <I>TP53</I> mutations. This suggests that apoptosis-related genes may not play an important role in the occurrence of <I>TP53</I> mutations in lung cancer.</P>
저층 트롤에서 3차원 위치를 이용한 만곡형 전개판의 영각 추정
고광수 ( Gwang Su Go ),조봉곤 ( Bong Kon Chol ),배재현 ( Jae Hyun Bae ),조성옥 ( Seong Ok Cho ),원성재 ( Sung Jae Won ),윤홍근 ( Hong Keun Yoon ),박해훈 ( Hae Hoon Park ) 한국수산해양기술학회 2015 수산해양기술연구 Vol.51 No.1
The angle of attack of a cambered otter board in a bottom trawl was estimated using a three-dimensional semi-analytic treatment of a towing cable (warp) system that was applied to the field experiments of a bottom trawl obtained by the Scanmar system. The equilibrium condition of the horizontal component and vertical component of forces was used to the three forces acting on the otter board in the horizontal plane. Those forces were the force on the warp at the bracket, hydrodynamic lift and drag forces on the otter board and the force on the hand rope attached just behind the otter board. Also the equilibrium of moment about the front edge of the otter board was used to find out the angle of attack of the cambered otter board. When the warp length was 120m and 180m long and the towing speed was between 1.23 and 1.90 m/s, the estimated angle of attack of the cambered otter board was ranged between 26.1° and 29.6°, respectively, though the maximum lift force was at the angle of attack 22.6°. The angle of attack of the otter board was tended to increase weakly with the longer length of warp (180 m) at the same towing speed in the experiment.
Prediction of Groundwater Contamination with Multivariate Regression and Probabilistic Capture Zones
Lim, Jeong-Won,Bae, Gwang-Ok,Kaown, Dugin,Lee, Kang-Kun Wiley (John WileySons) 2010 Journal of environmental quality Vol.39 No.5
<P>Probabilistic capture zones are combined with a regression model and used as buffer zones around wells for Tobit regression analysis to predict contaminant concentration of groundwater in an agricultural region. A backward transport equation, which is a mathematical model based on the physical processes of solute transport, is used to delineate probabilistic capture zones. The probabilistic capture zone defines the area where contaminant discharge can have a direct influence, with pertinent probability, on the quality of groundwater pumped from a well. Tobit regression analysis is used to find the relationship between independent regression variables and a dependent variable, which is contaminant concentration in this study. The capture zone and the regression are combined into a model, and its applicability for prediction of nitrate concentration is tested in a small agricultural basin in Chuncheon, Korea, which is occupied mainly by vegetation fields, orchards, and small barns. Three cases of Model 1, Model 2, and Model 3 are compared in which buffer zones are circles, capture zones with probability over 0.1, and capture zones divided into sections with different probabilities, respectively. The resulting regression model describes nitrate concentration in terms of selected independent variables. When the concentrations are calculated with the model, the best fit with the observed concentrations was in Model 3. This result supports the applicability of the method proposed in this study to prediction of contaminant concentration of groundwater.</P>