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Modeling of CO<sub>2</sub> Emission from Soil in Greenhouse
Lee, Dong-Hoon,Lee, Kyou-Seung,Choi, Chang-Hyun,Cho, Yong-Jin,Choi, Jong-Myoung,Chung, Sun-Ok Korean Society of Horticultural Science 2012 원예과학기술지 Vol.30 No.3
Greenhouse industry has been growing in many countries due to both the advantage of stable year-round crop production and increased demand for fresh vegetables. In greenhouse cultivation, $CO_2$ concentration plays an essential role in the photosynthesis process of crops. Continuous and accurate monitoring of $CO_2$ level in the greenhouse would improve profitability and reduce environmental impact, through optimum control of greenhouse $CO_2$ enrichment and efficient crop production, as compared with the conventional management practices without monitoring and control of $CO_2$ level. In this study, a mathematical model was developed to estimate the $CO_2$ emission from soil as affected by environmental factors in greenhouses. Among various model types evaluated, a linear regression model provided the best coefficient of determination. Selected predictor variables were solar radiation and relative humidity and exponential transformation of both. As a response variable in the model, the difference between $CO_2$ concentrations at the soil surface and 5-cm depth showed are latively strong relationship with the predictor variables. Segmented regression analysis showed that better models were obtained when the entire daily dataset was divided into segments of shorter time ranges, and best models were obtained for segmented data where more variability in solar radiation and humidity were present (i.e., after sun-rise, before sun-set) than other segments. To consider time delay in the response of $CO_2$ concentration, concept of time lag was implemented in the regression analysis. As a result, there was an improvement in the performance of the models as the coefficients of determination were 0.93 and 0.87 with segmented time frames for sun-rise and sun-set periods, respectively. Validation tests of the models to predict $CO_2$ emission from soil showed that the developed empirical model would be applicable to real-time monitoring and diagnosis of significant factors for $CO_2$ enrichment in a soil-based greenhouse.
Modeling of CO₂ Emission from Soil in Greenhouse
Dong Hoon Lee,Kyou Seung Lee,Chang Hyun Choi,Yong Jin Cho,Jong-Myoung Choi,Sun-Ok Chung 한국원예학회 2012 원예과학기술지 Vol.30 No.3
Greenhouse industry has been growing in many countries due to both the advantage of stable year-round crop production and increased demand for fresh vegetables. In greenhouse cultivation, CO₂ concentration plays an essential role in the photosynthesis process of crops. Continuous and accurate monitoring of CO₂ level in the greenhouse would improve profitability and reduce environmental impact, through optimum control of greenhouse CO₂ enrichment and efficient crop production, as compared with the conventional management practices without monitoring and control of CO₂ level. In this study, a mathematical model was developed to estimate the CO₂ emission from soil as affected by environmental factors in greenhouses. Among various model types evaluated, a linear regression model provided the best coefficient of determination. Selected predictor variables were solar radiation and relative humidity and exponential transformation of both. As a response variable in the model, the difference between CO₂ concentrations at the soil surface and 5-㎝ depth showed are latively strong relationship with the predictor variables. Segmented regression analysis showed that better models were obtained when the entire daily dataset was divided into segments of shorter time ranges, and best models were obtained for segmented data where more variability in solar radiation and humidity were present (i.e., after sun-rise, before sun-set) than other segments. To consider time delay in the response of CO₂ concentration, concept of time lag was implemented in the regression analysis. As a result, there was an improvement in the performance of the models as the coefficients of determination were 0.93 and 0.87 with segmented time frames for sun-rise and sun-set periods, respectively. Validation tests of the models to predict CO₂ emission from soil showed that the developed empirical model would be applicable to real-time monitoring and diagnosis of significant factors for CO₂ enrichment in a soil-based greenhouse.
Distribution of Oral Bacteria according to Sex and Age of Patients with Periodontal Disease
Ok Sun Choi 대한예방치과학회 2019 International Journal of Clinical Preventive Denti Vol.15 No.3
The purpose of this study was to investigate the frequency of Porphyromonas gingivalis, Filifactor alocis, Campylobater rectus, Porphyromonas endodontalis, Tenerella forsythensis, and Actinobacillus actinomycetemcomitans, which are causative bacteria of periodontal disease, in order to investigate the distribution pattern of periodontal disease bacteria from children aged less than 10 years to old people more than 61 years. For this purpose, plaques were collected from the dentate gyrus and the 16s rRNA gene was amplified by polymerase chain reaction (PCR) to investigate the distribution of periodontal pathogens by sex and age. The results obtained in this study are the basic data for improving oral health and quality of life. Among the various kinds of bacteria, Hemophilus aphrophilus, P. gingivalis, A. actinomycetemcomitans, T. forsythensis, Treponema denticola, Prevotella intermedia, Micromonas micros, Fusobacterium nucleatum, C. rectus, and Eikenella corrodens are recognized as a main causative organisms of periodontal disease. PCR is more specific and sensitive than culture method, and it is a good method to detect DNA directly from oral gingival epithelium and oral plaque. At least the population of bacteria can be diagnosed.
RNA Biology : β-Catenin-induced aberrant RNA metabolism in colon cancer cells
( Sun Joo Jeong ),( Hee Kyu Lee ),( Ho Yoon Kwak ),( Jung Hur ),( In Ae Kim ),( Ji Sun Yang ),( Ok Ran Kim ),( In Joo Hwang ),( Mee Young Kim ),( Yong Seok Choi ) 한국생화학분자생물학회 (구 한국생화학회) 2008 생화학분자생물학회 춘계학술발표논문집 Vol.2008 No.-
Optical Purity Determination of Levofloxacin Preparations
Choi, Sun Ok,Lee, Seok Ho,Park Choo, Hae-Young 이화여자대학교 약학연구소 2004 藥學硏究論文集 Vol.- No.13
Levofloxacin is the (-)-isomer of ofloxacin. Ofloxacin was originally marketed as a racemate; i.e., a mixture of the optical isomers in equal ratios. And (-)-isomer of ofloxacin was more potent than the (+)-isomer in antibacterial activity. Therefore, levofloxacin has been developed as a single isomeric preparation by racemic switch. In this study, we prepared levofloxacin through the chiral separation of the ofloxacin enantiomers using mobile phase additives, derivatization reagents and a chiral stationary phase. A few conditions were tried for the purpose : firstly a novapak C18 column using 1 mmol/l cupric sulfate-methanol (90:9) as a mobile phase with UV detection ; secondly a novapak C18 column using 0.2 mmol/l phosphoric acid (pH 1.85)-acetonitrile (80:20) as a mobile phase with fluorescence detection after derivatization with diphenylphosphinylchloride and L-leucinamide ; thirdly a bovineserumalbumin column using 0.2 mmol/l phosphate buffer (pH 8.0)-methanol (97:3) as a mobile phase with UV detection All of the conditions mentioned above were judged to provide quite satisfactory results in terms of the optical purity of levofloxacin.
Case Report : Glyphosate Induced Severe Tubulointerstitial Nephritis Requiring Hemodialysis
( Sun Hong Yoo ),( Byung Soo Kim ),( Hye Yun Lee ),( Ja Young Lee ),( Jae Ki Choi ),( Young Soo Kim ),( Sun Ae Yoon ),( Yeong Jin Choi ),( Young Ok Kim ) 대한신장학회 2010 Kidney Research and Clinical Practice Vol.29 No.1
This is the first case of glyphosate induced severe tubulointerstitial nephritis requiring hemodialysis without cardiovascular collapse. A 67-year-old man presented to the hospital 30 minutes after ingesting 90 mL of glyphosate herbicide. On arrival, his serum creatinine was 0.8 mg/dL and other laboratory findings including liver, cardiac, and muscle enzymes were all normal. Two days after admission, although his vital signs were stable, his creatinine abruptly increased to 8.2 mg/dL and oliguria developed. As a result, we started hemodialysis treatment and two weeks after initiation of hemodialysis, his renal function started to improve slowly. After discontinuation of hemodialysis, his renal function gradually recovered and serum creatinine level decreased to 1.6 mg/dL three weeks after admission.
Sun-Il Choi,Xiao Men,Xionggao Han,Se-Jeong Lee,Ok-Hwan Lee 한국식품영양과학회 2021 한국식품영양과학회 학술대회발표집 Vol.2021 No.10
Endocrine-disrupting chemicals (EDCs), called obesogens, play an important role in obesity by mimicking or disrupting bioidentical hormones. In this study, we determined the obesogenic effect of bisphenol A (BPA) and evaluated the anti-obesogenic effects of a standardized Cirsium setidens Nakai ethanolic extract (CNE) as a functional food ingredient on the lipid accumulation and expression of key adipogenic transcription factors (ATFs) in 3T3-L1 adipocytes and C57BL/6J mice. The underlying mechanism of the obesogenic effect of BPA was confirmed using the peroxisome proliferator-activated receptor γ (PPARγ) antagonist, GW9662. In addition, the anti-obesogenic effects of CNE were confirmed by measuring the lipid accumulation, reactive oxygen species (ROS) production, body and adipose tissue weights, and the adipogenesis- and lipogenesis-related proteins in BPA-induced 3T3-L1 adipocytes and obese mice. These findings indicate that CNE could potentially be used as a promising natural means to prevent BPA-induced obesity and obesity-related metabolic diseases.
Stereoselective determination of cetirizine and studies on pharmacokinetics in rat plasma
Choi, Sun Ok,Lee, Seok Ho,Kong, Hak Soo,Kim, Eun Jung,Park Choo, Hae-Young 梨花女子大學校 藥學硏究所 2000 藥學硏究論文集 Vol.- No.9
Enantiomers may confer benefits over racemates in therapeutic uses and we developed a chiral separation method c cetirizine enantiomers, a second generation H1 histamine receptor antagonist, in rat plasma. α_1-Acidgiycoprotein base chiral stationary phase(AGP-CSP), monitored with UV at 230 ㎚ was used to separate the enantiomers. Observe enantioselectivity (α) was 2.0. The AGP-CSP was also used at a preparative scale to isolate the enantiomers with an optics purity of greater than ee 99%. In addition, an analysis was carried out for the cetirizine enantiomers in rat plasma to stud; the differences of enantiomers in pharmacokinetics. Both (+)- and (-)-cetirizine were separated using a reversed-phase column of AGP, and were detected at the range of 2.5-200 ㎍㎖^-1 in plasma. Although there was no recognizable differences in pharmacokinetics between the enantiomers in rat, the method appears to be useful for their pharmacokinetic studies.