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실내수영장의 에너지 소비요소별 에너지 절약효과에 관한 연구
김영돈,권규동,여명석,김광우 대한설비공학회 2002 설비공학 논문집 Vol.14 No.12
The objective of this study is to develop energy saving strategies for indoor swimming pools and to estimate the effect of each energy saving strategy. For this purpose, field measurements regarding pool water heating energy, domestic hot water heating energy are conducted and a base energy consumption model is implemented using the DOE-2.1E program. The results of the study reveal that 25% of the total pool water heating energy may be saved by using night time pool covers, 27% of the total domestic hot water heating energy may be saved by using a waste water heat recovery system (effic. 60%), and of the total ventilation energy may be saved using an exhaust air heat recovery system (effic. 60%).
김영돈,유선녕,김승철,안순철 대한신생아학회 2013 Neonatal medicine Vol.20 No.2
Purpose: Intra-amniotic infection (IAI) is often polymicrobial, and the 16S rDNA PCR assay has a major limitation that its interpretation is difficult in the presence of multiple 16S rDNAs. Denaturing gradient gel electrophoresis (DGGE) can overcome this limitation by separating PCR products based on sequence. We performed the DGGE analysis to investigate bacterial preva-lence and diversity in amniotic fluids from pregnant women with preterm births and gastric fluids from their newborns. Methods: DNA was extracted from bacterial cells in amniotic fluid (AF) and gastric fluid (GF) and was amplified with universal 16S rDNA primers. For DGGE analysis, the PCR products were loaded onto polyacrylamide gels that were made with denaturing gradients. Results: Bacterial 16S rDNA was detected by PCR from all AF and GF samples. The bacterial species in AF samples were the following: Lactobacillus reuteri (87.0%), uncultured Enterococcus species (65.2%), Ureaplasma urealyticum (13.0%), and Enterococcus faecalis (4.3%). The bacterial species in GF samples were the following: Lactobacillus reuteri (95.2%), uncultured Enterococcus species (42.9%), and Ureaplasma urealyticum (4.8%). Two or more species were identified from 69.6% of AF and 47.6% of GF samples. Conclusion: We suggest that DGGE analysis allows improved understanding of microbial diversity and community in AF and GF.