• Title/Summary/Keyword: NAM method

Search Result 10,466, Processing Time 0.039 seconds

APPLICATION OF RANDOMLY AMPLIFIED POLYMORPHIC DNA(RAPD) ANALYSIS METHOD FOR CLASSIFICATION AND BREEDING OF THE KOREAN GINSENG

  • Lim Y.P.;Shin C.S.;Lee S.J.;Youn Y.N.;Jo J.S.
    • Proceedings of the Ginseng society Conference
    • /
    • 1993.09a
    • /
    • pp.138-142
    • /
    • 1993
  • Korean ginseng has been widely used as medicine from ancient times in Asia. Current breeding efforts in Korea include the individual plant selection and the subsequent pure - line isolation, and considerable number of lines with desirable traits have thus been isolated. However, there were rare data on genetic maker and its analysis for selection of superior varieties. For taxonomic characterization and development of genetic markers for ginseng breeding, molecular biological methods including the RFLP and RAPD methods were applied. Cytoplasmic DNA of ginseng was analyzed for RFLP analysis. However. there is no different pattern among the chloroplast DNA or mitochondrial DNA of variants. In the case of RAPD analysis, the band patterns using 4 of 10 RAPD primers show the distinctive polymorphism among 9 ginseng variants, and lines, and Similarity Index(SI) on polymorphism was calculated for the extent and nature of these variabilities in ginseng. The sequences of 4 selected primers were TGCCGAGCTG, AATCGGGCTG. GAAACGGGTG, and GTGACGTAGG. By SI based on the polymorphic band patterns, Chungkyung - Chong and Hwangskoog - Chong, and JakyungChong 81783 and Jinjakyung of Russia showed the most close SI. The data of KG10l coincided with the fact that it was released from Hwangskoog - Chong. and Jakyung - Chong 81783 and Jinjakyung of Russia showed the most close SI. The data of KG101 coincided with the fact that it was released from Hwangskoog - Chong by breeding process. The data of Jakyung strains indicated the significant variation among the strains. From these results, RAPD analysis method could be succesively applied to the classification and genetic analysis for breeding of Korean ginseng.

  • PDF

Antimicrobial Activities of a Steam Distillate of Leptospermum Scoparium (Leptospermum Scoparium 수증기 추출물인 마누카 기름의 항균효과)

  • Lee, Gye-Ju;Chung, Kyeong-Soo;Kim, Eun-Hee;Suh, Hyun-Joo;Hong, Nam-Doo
    • YAKHAK HOEJI
    • /
    • v.41 no.1
    • /
    • pp.132-138
    • /
    • 1997
  • The antimicrobial activity of Manuka oil, a steam distillate from Leptospermum scoparium, was investigated, and it's MIC against ten kinds of microorganisms was determin ed. MICs against bacteria and fungi were measured by means of both two-fold dliution method and agar plate two-fold dilution method, respectively. MICs of Manuka oil against Staphylococcus aureus KCTC 1916 and Micrococcus luteus KCTC 1915, gram-positive microrganisms, were identical as 3.05 ${\mu}$g/ml, while it's antibacterial activity against gram-negative microrganisms such as Pseudomonas aeruginosa KCTC 2513, Escherichia coli KCFC 1682, Klebsiella pneunioniae KCTC 2001 or Proteus vulgaris KCTC 2433 was negligible(MIC: ${\geq}$ 1000 ${\mu}$g/ml), suggesting a high susceptibility of gram-positive bacteria to Manuka oil. In addition, MIC against Aspergillus niger KCTC 6077 was 24 ${\mu}$g/ml. and that against the other fungi, Tricophyton mentagrophytes KCTC 1374 and Candida albicans KCTC 1940 was ${\geq}$ 1000 ${\mu}$g/ml. When Manuka oil ointment was used in combination with other drugs. i.e.. gentamycin sulfate, chlotrimazol and hydrocortisone acetate, and diphenhydramine HCl and hydrocortisone acetate. it's antibacterial activity against Staphylococcus aureus KCTC 1916 was higher than Manuka oil ointment or other drugs alone. In conclusion, Manuka oil possesses a selective antibacterial activity against Staphylococcus aureus KCTC 1916, and can be used as a potent antibacterial agent against it.

  • PDF

A Study on the Interfacial Crack Propagation Criterion for Two Dissimilar Isotropic Bimaterial by the Static Photoelastic Experimental Hybrid Method (정적 광탄성 실험 하이브리드 법에 의한 두 상이한 등방성 이종재료의 계면균열전파 기준에 관한 연구)

  • Tche, Konstantin;Hawong, Jai-Sug;Shin, Dong-Chul;Nam, Sung-Su;Nam, Jeong-Hwan
    • Proceedings of the KSME Conference
    • /
    • 2003.11a
    • /
    • pp.1216-1221
    • /
    • 2003
  • The specimen materials used in this research is bimaterial. The static photoelastic experiment was applied to them. And then the specimens used in photoelastic experiment were fractured under static load. The static photoelastic hybrid method was introduced and it's validity had been assured. The static photoelastic hybrid method was applied to the Minimum Strain Energy Density Criterion, the Maximum Tangential Stress Criterion and Mode Mixity. Crack propagation criterion by the static photoelastic hybrid method was introduced and it was applied to the above various failure theories. Comparing the experimental initial angle of crack propagation with the theoretical initial angle of crack propagation from the various failure criterions. And then the optimal crack propagation criterion was suggested and it's validity was assured.

  • PDF

Nonparametric Kernel Regression Function Estimation with Bootstrap Method

  • Kim, Dae-Hak
    • Journal of the Korean Statistical Society
    • /
    • v.22 no.2
    • /
    • pp.361-368
    • /
    • 1993
  • In recent years, kernel type estimates are abundant. In this paper, we propose a bandwidth selection method for kernel regression of fixed design based on bootstrap procedure. Mathematical properties of proposed bootstrap-based bandwidth selection method are discussed. Performance of the proposed method for small sample case is compared with that of cross-validation method via a simulation study.

  • PDF

A Logistic Regression for Random Noise Removal in Image Deblurring (영상 디블러링에서의 임의 잡음 제거를 위한 로지스틱 회귀)

  • Lee, Nam-Yong
    • Journal of Korea Multimedia Society
    • /
    • v.20 no.10
    • /
    • pp.1671-1677
    • /
    • 2017
  • In this paper, we propose a machine learning method for random noise removal in image deblurring. The proposed method uses a logistic regression to select reliable data to use them, and, at the same time, to exclude data, which seem to be corrupted by random noise, in the deblurring process. The proposed method uses commonly available images as training data. Simulation results show an improved performance of the proposed method, as compared with the median filtering based reliable data selection method.