• YAKHAK HOEJI
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• v.10 no.4
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• pp.1-6
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• 1966

Various thiocyanatoammine chromium complex salts are prepared by the known methods and the Rf. value of these complex salts are determined by four developers. These four developers were used in the paper chromatographical work of cobalt complex salts by Yamamoto in 1954. It was also found that the developer A (Ch$_{3}$OH, acetone, NH$_{4}$OH) gave best results of these four developers and the decending development gave better results than ascending development in this experiment. In the case of decending development using developer A, it is found that the Rf. value is increased with the number of thiocyanate radical. The reason of this curious results can be explained that the thiocyanate radical in the complex ion is more active for the organic solvent than ammine radical. Shifting of electrons to the central metal and the charge of the complex ion can also effect ot the Rf. value but much questions are remained for the explanation of the above curious phenomenon. Separation of mixed sample is also studied for various mixture of the above complex salts. In the case of the mixture of hexammine and diammine complex salt, the clear separation is possible but in almost all other mixed sample, the results are not clear. Therefore it can be said that the results of this work can be used in the qualitative analysis of the individual complex salts, except the mixed sample of hexammine and diammine complex salts.

• Journal of Pharmaceutical Investigation
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• v.33 no.2
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• pp.85-89
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• 2003

Piroxicam-arginine complex was prepared to improve the solubility and dissolution rate of poorly water-soluble piroxicam. Its formation was identified by infrared spectrophotometry, differential thermal analysis and dissolution rate. Piroxicam complex dispersible tablets, commercial $Feldene^{\circledR}$ dispersible tablets and piroxicam physical mixture hard capsules were prepared to compare dissolution rate in water. Dissolved amounts (%) after 15 mins of piroxicam complex dispersible tablets, commercial $Feldene^{\circledR}$ dispersible tablets and piroxicam physical mixture hard capsules were 98%, 48% and 10%, respectively. The solubility of complex in water was significantly higher than that of piroxicam itself. In vivo, pharmacokinetic parameters were obtained after oral administrations of piroxicam complex and physical mixture at a does of 2 mg to New Zealand White Rabbit. The $C_{max}$ of piroxicam complex was similar to that of piroxicam. However, there were much difference between the two formulations with regard to $T_{max}$ and AUC. The $T_{max}$ of piroxicam alone was 4 hours, but that of piroxicam complex was 0.8 hours. In addition, the AUC of piroxicam complex was 1.38 times greater than that of piroxicam alone.

• Weed & Turfgrass Science
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• v.5 no.2
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• pp.88-94
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• 2016

Vehicular traffic on turf results in loss of green cover due to direct tearing of shoots and indirect long-term soil compaction. Protection of turfgrass crowns from wear could increase the ability of turf to recover from heavy traffic. Plastic turfpavers have been installed in trafficked areas to reduce soil compaction and to protect turfgrass crowns from wear. The objectives of this study were to evaluate traffic performance of turfgrasses (Zoysia matrella and Axonopus compressus) and soil mixture (high, medium and low sand mix) combinations on turf-paver complex. The traffic performance of turf and recovery was evaluated based on percent green cover determined by digital image analysis and spectral reflectance responses by NDVI-meter. Bulk density cores indicated significant increase in soil compaction from medium and low sand mixtures compared to high sand mixture. Higher reduction of percent green cover was observed from A. compressus (30-40%) than Z. matrella (10-20%) across soil mixtures. Both turf species displayed higher wear tolerance when established on higher sand (>50% sand) than low sand mixture. Positive turf recovery was also supported by complementary spectral responses. Establishment of Zoysia matrella turf on turfpaver complex using high sand mixture will result in improved wear tolerance.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.175-177
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• 2003

To monitor riparian wetlands as one of complex natural ecosystems using remotely sensed data, we need to concurrently consider vegetation, soil and water which constitute complicated wetland ecosystems. To identify riparian distribution we adopted linear Spectral Mixture Analysis in order to improve identification accuracy of riparian areas. This study has indicated that linear SMA adopting tasseled cap endmember selection is an enhanced routine for Identification of riparian wetlands and phenologically autumn imagery is more appropriate to detect riparian vegetation in the Paldang water catchment area.

• Journal of Microbiology and Biotechnology
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• v.11 no.4
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• pp.712-715
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• 2001

A new combined method including the enzymatic hydrolysis of $\beta$-cyclodextrin ($\beta$-CD) and solvent extraction fo cholesterol from the hydrolyzed mixture was developed to recover cholesterol from a $\beta$-CD-cholesterol complex prepared from dairy products, such as cream, milk, and cheese. Cyclomaltodextrinase (cyclomatodextrin dextrin hydrolase, EC 3.2.1.54, DCase_ prepared form alkalophilic Bacillus sp. KJ 133 hydrolyzed the $\beta$-DC of the $\beta$-CD-cholesterol complex, and then, free cholesterol was efficiently extracted from the hydrolyzed mixture by a nonpolar solvent such as ethyl acetate. To increase the stability of free CDase, immobilized CDase was developed using sodium alginate as a carrier. The immobilized CDase showed a high recovery yield of cholesterol in a time-dependent manner compared to the free CDase. A gas chromatography analysis showed that more than 70% of cholesterol was recovered from the $\beta$-DC-cholesterol complex of cream by the immobilized CDase, whereas only 3% and 29% of cholesterol were recovered when the solvent extraction and free CDase treatment were used, respectively. The cholesterol recovered can be used as a raw material for steroid synthesis. Furthermore, this method can be an efficient way to recover cholesterol or other organic compounds that are bound in a $\beta$ -DC-cholesterol or -organic compound complex.

• Biomolecules & Therapeutics
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• v.16 no.3
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• pp.203-209
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• 2008

The aim of this study was to investigate the hepatoprotective effect of $ACTIValoe^{(R)}$ N-931 complex, a mixture of Aloe vera and Silybum marianum, against acute liver injuries. Acute liver damages were induced by intraperitoneal injection of galactosamine (GalN, 700 mg/kg), naphthylisothiocyanate (ANIT, 40 mg/kg) and ethionine (500 mg/kg). $ACTIValoe^{(R)}$ N-931 (85, 170 and 340) was administered orally 48 h, 24 h, 2 h before and 6 h after the injection of hepatotoxins. At 24 h after GalN treatment the levels of serum aminotransferases and hepatic lipid peroxidation were significantly elevated, whereas hepatic glutathione, serum triglyceride (TG) and total cholesterol were decreased. These changes were attenuated by $ACTIValoe^{(R)}$ N-931 complex. The serum aminotransferase activities and total bilirubin significantly increased at 48 h after ANIT treatment, but were attenuated by $ACTIValoe^{(R)}$ N-931 complex. The bile flow was lower after ANIT treatment, which was restored by $ACTIValoe^{(R)}$ N-931 complex. $ACTIValoe^{(R)}$ N-931 complex reduced the ethionine-induced elevated hepatic TG contents. Histopathological analysis revealed that signs of liver injury were prominent at 24 h as result of ethionine injection, demonstrated by extensive areas of fatty change and microvesicular steatosis were observed around cells. These changes were attenuated by $ACTIValoe^{(R)}$ N-931 complex. Our results suggest that the $ACTIValoe^{(R)}$ N-931 complex has a protective effect on acute liver injury.

• Journal of KIISE:Software and Applications
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• v.32 no.8
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• pp.789-794
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• 2005

LDA (Linear Discriminant Analysis) provides the projection that discriminates the data well, and shows a very good performance for face recognition. However, since LDA provides only one transformation matrix over whole data, it is not sufficient to discriminate the complex data consisting of many classes like honan faces. To overcome this weakness, we propose a new face recognition method, called LDA mixture model, that the set of alf classes are partitioned into several clusters and we get a transformation matrix for each cluster. This detailed representation will improve the classification performance greatly. In the simulation of face recognition, LDA mixture model outperforms PCA, LDA, and PCA mixture model in terms of classification performance.

• Journal of the Korean Applied Science and Technology
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• v.3 no.2
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• pp.23-28
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• 1986

The sulfuric acid sulfonation mixtures of 2-aminonaphthalene, contained 2-aminonaphthalene, Dahl's acid, Broenner's acid, amino-F-acid and Baden acid, can be determined quantitatively by multicomponent spectrophotometric analysis. The analysis was performed in diluted sodium hydroxide aqueous solution and based on the ultraviolet absorption of the sodium salts of each isomers. The determination of quantity of each isomers was performed by subjection the absorbances of the unknown mixture and of its constituents, gathered at a large number of wavelengths, to a least square treatment by an electronic personer computer. This method provided a rapid analysis of such complex mixture, and the standard deviation was ${\pm}1.65$ mole %.

• Journal of KIISE:Software and Applications
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• v.32 no.8
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• pp.781-788
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• 2005

LDA (Linear Discriminant Analysis) is a data discrimination technique that seeks transformation to maximize the ratio of the between-class scatter and the within-class scatter While it has been successfully applied to several applications, it has two limitations, both concerning the underfitting problem. First, it fails to discriminate data with complex distributions since all data in each class are assumed to be distributed in the Gaussian manner; and second, it can lose class-wise information, since it produces only one transformation over the entire range of classes. We propose three extensions of LDA to overcome the above problems. The first extension overcomes the first problem by modeling the within-class scatter using a PCA mixture model that can represent more complex distribution. The second extension overcomes the second problem by taking different transformation for each class in order to provide class-wise features. The third extension combines these two modifications by representing each class in terms of the PCA mixture model and taking different transformation for each mixture component. It is shown that all our proposed extensions of LDA outperform LDA concerning classification errors for handwritten digit recognition and alphabet recognition.

• Preventive Nutrition and Food Science
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• v.1 no.1
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• pp.127-133
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• 1996

The development of high resolution capillary columns and a large variety of different detectors led to a strong position of gas chromatography in instrumental analysis. Every effort has been made to solve sophisticated separation problems by column switching. Nowadays, several systems are commercially available for this purpose. The principle and the capabilities of multidimensional gas chromatography(MDGC) are illustrated by different applications in the field of modern flavor and essential oil research.