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Year-to-year variation in wind resource and assessment of WAsP prediction for wind machine power
고경남,강문종,허종철 대한기계학회 2009 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.23 No.3
An investigation on inter-annual variations in wind resource and the accuracy of WAsP prediction was carried out in a real wind farm located at Hangwon, Jeju island, Korea. The wind data were obtained from an anemometer, and the wind vane installed on the meteorological mast and the operational data of the wind turbines tested were given by a monitoring system. The data were obtained for each six-month period in 2005 and 2006, respectively. As a result, it is clear that the wind characteristics vary year by year. Also, it was found that the cup anemometer on the meteorological mast in Hangwon wind farm was affected by the wake behind wind turbines. Considering the wake effect, the accuracy of WAsP prediction for the power production was assessed. The result shows that the relative error for the corrected power production that considered the wake loss was less than ±10 %.
고경남,이진옥,서을주,이성욱,서진경,임호준,서종진 대한의학회 2014 Journal of Korean medical science Vol.29 No.7
The combined array comparative genomic hybridization plus single-nucleotidepolymorphism microarray (CGH+SNP microarray) platform can simultaneously detect copynumber alterations (CNA) and copy-neutral loss of heterozygosity (LOH). Eighteen childrenwith acute myeloid leukemia (AML) (n = 15) or myelodysplastic syndrome (MDS) (n = 3)were studied using CGH+SNP microarray to evaluate the clinical significance ofsubmicroscopic chromosomal aberrations. CGH+SNP microarray revealed CNAs at 14regions in 9 patients, while metaphase cytogenetic (MC) analysis detected CNAs in 11regions in 8 patients. Using CGH+SNP microarray, LOHs > 10 Mb involving terminalregions or the whole chromosome were detected in 3 of 18 patients (17%). CGH+SNPmicroarray revealed cryptic LOHs with or without CNAs in 3 of 5 patients with normalkaryotypes. CGH+SNP microarray detected additional cryptic CNAs (n = 2) and LOHs(n = 5) in 6 of 13 patients with abnormal MC. In total, 9 patients demonstrated additionalaberrations, including CNAs (n = 3) and/or LOHs (n = 8). Three of 15 patients with AMLand terminal LOH > 10 Mb demonstrated a significantly inferior relapse-free survival rate(P = 0.041). This study demonstrates that CGH+SNP microarray can simultaneously detectpreviously cryptic CNAs and LOH, which may demonstrate prognostic implications.
고경남,박미림,김보은,임호준,박찬정,장성수,지현숙,서종진 대한소아청소년과학회 2010 Clinical and Experimental Pediatrics (CEP) Vol.53 No.11
Background: Our study attempted to determine the prognostic significance of minimal residual disease (MRD) detected by a simplified flow cytometric assay during induction chemotherapy in children with B-cell acute lymphoblastic leukemia (B-ALL). Methods: A total of 98 patients were newly diagnosed with precursor B-ALL from June 2004 to December 2008 at the Asan Medical Center (Seoul, Korea). Of those, 37 were eligible for flow cytometric MRD study analysis on day 14 of their induction treatment. The flow cytometric MRD assay was based on the expression intensity of CD19/CD10/CD34 or aberrant expression of myeloid antigens by bone marrow nucleated cells. Results: Thirty-five patients (94.6%) had CD19-positive leukemic cells that also expressed CD10 and/or CD34, and 18 (48.6%) had leukemic cells with aberrant expression of myeloid antigens. Seven patients with ≥1% leukemic cells on day 14 had a significantly lower relapsefree survival (RFS) compared to the 30 patients with lower levels (42.9% [18.7%] vs. 92.0% [5.4%], P=0.004). Stratification into 3 MRD groups (≥1%, 0.1-1%, and <0.1%) also showed a statistically significant difference in RFS (42.9% [18.7%] vs. 86.9% [8.7%] vs. 100%, P= 0.013). However, the MRD status had no significant influence on overall survival. Multivariate analysis demonstrated that the MRD level on day 14 was an independent prognostic factor with borderline significance. Conclusion: An MRD assay using simplified flow cytometry during induction chemotherapy may help to identify patients with B-ALL who have an excellent outcome and patients who are at higher risk for relapse.