• Proceedings of the Korean Society of Crop Science Conference
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• 2006.04a
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• pp.566-567
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• 2006

• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.04a
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• pp.65-66
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• 2003

Korean ginseng (Panax ginseng C. A. Meyer) is an representative medicinal herb. It is classified as an adaptogen, helping the body to adapt to stress, improving stamina and concentration, and providing a normalizing and restorative effect. However, cultivation and breeding of the plant is very difficult because it requires at least 4-year cultivation from seed germination to root harvest.(중략)

• 한국약용작물학회:학술대회논문집
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• 2007.05a
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• pp.274-276
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• 2007

• Proceedings of the Plant Resources Society of Korea Conference
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• 2006.05a
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• pp.17-17
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• 2006

• The Korean Journal of Pharmacology
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• v.29 no.1
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• pp.97-105
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• 1993

Adenosine receptors in rat adipose tissues have been reported to be of $A_{1}$ subclass, and their stimulation leads to inhibition of adenylyl cyclase, resulting in inhibition of lipolysis. In the present study we investigated changes in $A_{1}$ adenosine receptor-adenylyl cyclase system of adipocytes following induction of experimental diabetes in rats. One week following experimental diabetes were induced by intravenous injection of streptozotocin (50 mg/kg body wt.), adipocytes from rats $(170{\sim}230g)$ fed ad libitum were isolated using collagenase. When adipocytes were incubated for 1 h with 1 unit/ml adenosine deaminase and $1\;{\mu}M$ isoproterenol, and assayed for glycerol formation, it was found that the inhibition of lipolysis in diabetic adipocytes by $(-)-N^{6}-(R-phenylisopropyl)adenosine$ (PIA), an $A_{1}$, adenosine receptor agonist, was twice that of control adipocytes. In an effort to delineate the mechanism(s), $[^{3}H]PIA$ binding to adipocytic membranes from diabetic and control rats were determined. Neither the affinities nor numbers of $A_{1}$ adenosine receptor were significantly different from each other (Best fit parameters for the one-site model are: $K_{d}=0.51{\pm}0.09nM$ and $B_{max}=1.60{\pm}0.12\;pmoles/mg$ protein for control membranes; $K_{d}=0.54{\pm}0.21\;nM$ and $B_{max}=1.72{\pm}0.31\;pmoles/mg$ protein for diabetic membranes). However, the inhibiton by PIA of the isoproterenol-stimulated adenylyl cyclase activities was found to be 1.9 times higher in adipocytic membranes from diabetic rats than those from controls. These results suggest that the increased sensitivity of inhibition of lipolysis to PIA in adipocytic membranes from diabetic rats is due to changes in signal transduction pathways, rather than alterations of $A_{1}4 adenosine receptor molecules themselves.

• International Journal of CAD/CAM
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• v.13 no.1
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• pp.1-11
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• 2013

Just by adjusting the control points iteratively, progressive iterative approximation (PIA) presents an intuitive and straightforward scheme such that the resulting limit curve (surface) can interpolate the original data points. In order to obtain more flexibility, adjusting only a subset of the control points, a new method called local progressive iterative approximation (LPIA) has also been proposed. But to this day, there are two problems about PIA and LPIA: (1) Only an approximation process is discussed, but the accurate convergence curves (surfaces) are not given. (2) In order to obtain an interpolating curve (surface) with high accuracy, recursion computations are needed time after time, which result in a large workload. To overcome these limitations, this paper gives an explicit matrix expression of the control points of the limit curve (surface) by the PIA or LPIA method, and proves that the column vector consisting of the control points of the PIA's limit curve (or surface) can be obtained by multiplying the column vector consisting of the original data points on the left by the inverse matrix of the collocation matrix (or the Kronecker product of the collocation matrices in two direction) of the blending basis at the parametric values chosen by the original data points. Analogously, the control points of the LPIA's limit curve (or surface) can also be calculated by one-step. Furthermore, the $G^1$ joining conditions between two adjacent limit curves obtained from two neighboring data points sets are derived. Finally, a simple LPIA method is given to make the given tangential conditions at the endpoints can be satisfied by the limit curve.

• Korean Journal of Plant Resources
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• v.19 no.1
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• pp.133-138
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• 2006

In order to enhance the components of bioactive ginsenosides and the manufacturing process of red ginseng, we developed the simplified method for red ginseng production. The red ginseng extract was prepared from red ginseng produced with the simplified method, and the production rate of extract ($62^{\circ}$ brix) was more than 60%. The ginsenosides of red ginseng were purified and analyzed by HPLC using ELSD. Ginsenoside-$Rg_3,\;Rh_2$ and $Rh_1$, specific artifacts found only in red ginseng, were detected by HPLC. Especially, contents of ginsenoside-$Rg_3$ and Rh1 were detected high than two times in red ginseng produced the simplified method compared to commercial products.

• Informatization Policy
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• v.22 no.1
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• pp.47-72
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• 2015

According to the progress of national informatization throughout the world, infringement and threaten of privacy are happening in a variety of fields, so government is providing information security policy. In particular, South Korea has enhanced personal impact assessment based on the law of personal information protection law(2011). But it is not enough to effect the necessary cost calculation standards and changeable factors to effect PIA. That is, the budgets for PIA was calculated lower than the basic budget suggested by Ministry of Government Administration Home affairs(2011). Therefore, this study reviewed the cost calculation basis based on the literature review, cost basis of similar systems, and reports of PIA and obtained to the standard with Delphi analysis. As a result, the standards of PIA is consisted to the primary labors and is utilized to how the weights by division of target system, construction and operating costs of target system, type of target systems, etc. Thus, the results of this study tried to contribute to ensure the reliability of PIA as well as the transparency of the budget for privacy in public sector.

• Genomics & Informatics
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• v.18 no.4
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• pp.46.1-46.4
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• 2020

We developed the BaSDAS (Barcode-Seq Data Analysis System), a GUI-based pooled knockout screening data analysis system, to facilitate the analysis of pooled knockout screen data easily and effectively by researchers with limited bioinformatics skills. The BaSDAS supports the analysis of various pooled screening libraries, including yeast, human, and mouse libraries, and provides many useful statistical and visualization functions with a user-friendly web interface for convenience. We expect that BaSDAS will be a useful tool for the analysis of genome-wide screening data and will support the development of novel drugs based on functional genomics information.

• The Korean Journal of Pharmacology
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• v.32 no.2
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• pp.151-158
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• 1996

Following the subcutaneous administration of $R(-)N^6-(2-phenylisopropyl)adenosine(600\;nmol/kg/hr)$ to rats for 1 week using t$Alzet^{\circledR}$ mini-osmotic pumps, $A_1$ adenosine receptor functions were determined using $[^3H]DPCPX$ binding, $[^{35}S]GTP_{\gamma}S$ binding, and adenylyl cyclase assays. $A_1$ adenosine receptor binding and the inhibition of adenylyl cyclase activity by PIA was not altered in cerebrocortical membranes prepared from PIA-treated rats. However, there was a significant decrease in the $A_1$ adenosine receptor-mediated stimulation of $[^{35}S]GTP_{\gamma}S$ binding to cerebrocortical membranes prepared from PIA-treated rats(22.0% decrease in basal activity; 19.7% decrease in maximal activity). These results suggest that the desensitization of $A_1$ adenosine receptors following chronic administration involves agonist-induced uncoupling of the receptors from G proteins rather than alteration of $A_1$ adenosine receptor molecules. It is also suggested that the determination of stimulation of $[^{35}S]GTP_{\gamma}S$ binding to G proteins is a suitable tool in studying the receptor regulation including desensitization