• Herbal Formula Science
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• v.16 no.1
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• pp.95-107
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• 2008

Objectives : Hwangnyeonhaedok-tang(HNHDT) is the one of well-known traditional herbal formula and has been widely used for the treatment of various diseases in Korea. For the quality improvement of commercial traditional herbal formula, we investigated the quality of prepared HNHDT. Methods: We measured the contents of baicalin, berberine and geniposide in the HNHDT Ex preparations on the market by HPLC and compared with the official notice of ingredients. Results: In 3 preparations of HNHDT covered with the national health insurance(NHI), the content of baicalin was various from 32.83mg to 185.05mg, the total berberine was $12.0{\sim}50.75mg$ and geniposide was $12.57{\sim}44.84mg$. Contents of marker ingredients in NHI Preparations were below the standard and showed a large variation. In 7 non NHI Preparations of HNHDT and the standard(STD) HNHDT manufactured in laboratory, the content of baicalin was $37.16{\sim}115.69mg$, the total berberine was $5.62{\sim}28.43mg$ and geniposide was $10.98{\sim}113.47mg$. But, because composition of non-NHI preparations is different from NHI preparations, every maker's contents were up to the notice for baicalin and berberine. There was newly enforced standard regulations of geniposide in non-NHI preparations, so contents of geniposide was up to that standard only in JI and STD. Conclusions: There was a large variation of contents in the HNHDT Ex preparations on the market and the quality differences were existed between NHI and non-NHI preparations of HNHDT. Further studies for evaluation of efficacy differences and standardization of manufacturing processes are necessary.

• Korea Journal of Hospital Management
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• v.8 no.3
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• pp.49-71
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• 2003

The purpose of the study is exploring the relationship among patient perceived quality of dental care, satisfaction, and royalty in dental clinics and hospitals. The observation of the study is outpatient visiting dental clinics and hospitals located in Seoul and Kyung-Gi Do area, and surveyed the outpatients. The contents of the survey are consisted with questions including quality of care perceived by the patients, costumer satisfaction, and royalty, and measurement for each question is using five point Likert scale. According to result of bi-variate analysis, there was the significant relationship among specialized care, value of the care, and kindness in quality of dental services, level of care in dentists significantly influenced on costumer satisfaction and costumer royalty, and there was the significant relationship between costumer satisfaction and royalty. According to result of regression analysis on the costumer satisfaction, the costumer satisfaction positively related with the convenience of facility, specialized care, value of care, patient age, number of visit, and spend time for treatment, and housewives and self-employees were likely to satisfy on care than regular employees. By result of full regression model and reduced model on costumer royalty, satisfaction could explain 86% on the costumer royalty such as re-visit and promoting other people, and increase of explain power is not significant when other independent variables joined model (full model). Considering efficiency of model, costumer royalty could be explained by satisfaction only rather than other independent variables used. Finally, This study shows that the social-demographic variables of patient influenced the patient satisfaction, and the patient satisfaction influenced patient royalty directly.

• The Transactions of the Korea Information Processing Society
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• v.1 no.2
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• pp.225-236
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• 1994

Many research result conducted by neural network researchers claimed that the degree of generalization of the neural network system is higher or at least equal to that of statistical methods. However, those successful results could be brought only if the neural network was trained by appropriately sound data, having a little of noisy data and being large enough to control noisy data. Real data used in a lot of fields, especially business fields, were not so sound that the network have frequently failed to obtain satisfactory prediction accuracy, the degree of generalization. Enhancing the degree of generalization with noisy data is discussed in this study. The suggestion, which was obtained through a series of experiments, to enhance the degree of generalization is to remove inconsistent data by checking overlapping and inconsistencies. Furthermore, the previous conclusion by other reports is also confirmed that the learning mechanism of neural network takes average value of two inconsistent data included in training set［2］. The interim results of on-going research project are reported in this paper These are ann architecture of the neural network adopted in this project and the whole idea of developing on-line credit evaluation system,being intergration of the expert(resoning)system and the neural network(learning system.Another definite result is corroborated through this study that quickprop,being agopted as a learing algorithm, also has more speedy learning process than does back propagation even in very noisy environment.

• The Korean Journal of Food And Nutrition
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• v.24 no.4
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• pp.817-832
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• 2011

It is said that the reason Bulgarians enjoy longevity is that they have a lot of yogurt, whose $Lactobacillus$ controls intestinal poison-producing germs. In young individuals, the number of bifidobacteria exceeds 10 billion per 1 g of intestinal content, but this number decreases for older or senile individuals, who have a larger number of harmful microorganisms such as $Clostridium$. In addition, it is well known that artificially increasing intestinal bifidobacteria can help control harmful microorganisms and thus facilitate a healthier and longer life. The microorganisms used for artificial spawn are referred to as probiotic microorganisms, and in general, lactic acid bacteria(LAB) are used. Unlike antibiotics, which kill harmful microorganisms, probiotic microorganisms coexist with and control them, while improving the health of the individual, that is, they can improve and invigorate host cells. Because probiotic microorganisms and its products based on LAB are known to help prevent and treat constipation, diarrhea, intestinal inflammation, and blood cholesterol and generally improve health through the purification of intestines, its market has been continuously expanding. Korea imports approximately 90% of spawn and uses them. It is likely that they are not appropriate for Korean's physical condition. Thus, considering this problem into account, Entecbio, a biotech firm in Korea, has produced various products by using its proprietary microorganisms. In this paper, the effects, characteristics, and kinds of products from based on proprietary microorganisms, with its prospect for market, etc., are generally examined.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.6
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• pp.426-431
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• 2011

The objective of this study was to investigate the virus removal from artificial groundwater using Mg-Fe layered double hydroxide (LDH). Batch experiments were conducted under various experimental conditions to examine bacteriophage T7 removal with Mg-Fe LDH. Results showed that the removal of T7 by Mg-Fe LDH was a fast process, reaching equilibrium within 2~3 hrs. Mg-Fe LDH had the virus removal capacity of $1.57{\times}10^8pfu/g$ with a removal percent of 96%. Results also showed that the effect of solution pH on T7 removal was minimal between pH 6.2 and 9.1. The influence of anions ($SO_4^{2-}$, $CO_3^{2-}$, $HPO_4^{2-}$) on T7 removal was significant due to their competition with bacteriophage at the sorption sites on LDH, while the effect of $NO_3^-$ was negligible. This study demonstrated that Mg-Fe LDH could be applied as adsorbents for virus removal in water treatment.

• The Journal of Engineering Geology
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• v.23 no.1
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• pp.37-46
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• 2013

Leakage of leachate from animal carcass disposal is a significant issue because disease can easily spread to humans and other livestock. In this study, we analyzed the physicochemical properties of leachate and tested for the presence of aerobic bacteria in leachate using molecular biology methods, for 16 animal carcass disposals in the first stage (after burial for 5 months). Leachate physicochemical analysis revealed higher total coliforms, TOC, $NH^{4+}$, and $NO^{3-}$ concentrations compared with previously published data. In most leachate samples, the concentrations of $NH^{4+}$ and $NO^{3-}$ exceeded the Korean guideline values for drinking water. In 16S rRNA sequence analysis of the distribution of leachate under aerobic conditions, Bacillus pumilus, Lysinibacillus sphaericus, and B. sphaericus were observed with high frequency, whereas no food-poisoning-related bacteria such as B. cereus or Salmonella were detected. The present findings improve our knowledge of the transport of leachate from animal carcass disposal sites through geologic media, and are useful in risk analysis and for subsequent studies.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.57-70
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• 2012

The aim of this study is to analyse the landslide susceptibility and the future hazard in Inje, Korea using probability rainfalls and artificial neural network (ANN) environment based on geographic information system (GIS). Data for rainfall probability, topography, and geology were collected, processed, and compiled in a spatial database using GIS. Deokjeok-ri that had experienced 694 landslides by Typhoon Ewinia in 2006 was selected for analysis and verification. The 50% of landslide data were randomly selected to use as training data while the other 50% being used for verification. The probability of landslides for target years (1 year, 3 years, 10 years, 50 years, and 100 years) was calculated assuming that landslides are triggered by 1-day rainfall of 202 mm or 3-day cumulative rainfalls of 449 mm.

• Economic and Environmental Geology
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• v.46 no.4
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• pp.345-350
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• 2013

In this study, the physicochemical properties of leachate and the bacteria existence in leachate using molecular biology methods for 4 animal carcass disposals on the disposal lapse time was analyzed. The result of leachate physicochemical analysis in the middle stage (been buried 20 months) showed higher EC, DO, $HCO_3{^-}$, TOC, T-N and $SO_4{^{2-}}$ concentration compared to the first stage data (been buried 5 months). For identification of leachate using 16S rRNA method, Lysinibacillus sphaericus, Bacillus pumilus, Pseudoclavibacter helvolus, Pseudochrobactrum saccharolyticum and Corynebacterium callunae in the first stage, Bacillus cereus, Lysinibacillus sphaericus, Bacillus circulans and Corynebacterium glutamicum in the middle stage was observed, while there were detections of pathogenicity bacteria such as B. cereus and L. sphaericus. This study improves our knowledge of the fate and transport in geologic media, treatment, risk analysis on the leachate from animal carcass disposal sites.

• Economic and Environmental Geology
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• v.46 no.4
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• pp.301-312
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• 2013

Landslides are caused by complex interaction among a large number of interrelated factors such as topography, geology, forest and soils. In this study, a comparative study was carried out using fuzzy relationship method and artificial neural network to evaluate landslide susceptibility. For landslide susceptibility mapping, maps of the landslide occurrence locations, slope angle, aspect, curvature, lithology, soil drainage, soil depth, soil texture, forest type, forest age, forest diameter and forest density were constructed from the spatial data sets. In fuzzy relation analysis, the membership values for each category of thematic layers have been determined using the cosine amplitude method. Then the integration of different thematic layers to produce landslide susceptibility map was performed by Cartesian product operation. In artificial neural network analysis, the relative weight values for causative factors were determined by back propagation algorithm. Landslide susceptibility maps prepared by two approaches were validated by ROC(Receiver Operating Characteristic) curve and AUC(Area Under the Curve). Based on the validation results, both approaches show excellent performance to predict the landslide susceptibility but the performance of the artificial neural network was superior in this study area.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.7
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• pp.503-508
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• 2013

The aim of this study was to investigate the microbial communities in animal carcass disposal soils to examine the possible threat of pathogens from leachate. DNA extraction was performed for the soils in three carcass disposal sites located in Gyeonggi-do, Korea, and then 16S rRNA pyrosequencing was conducted to identify the microbial communities. Results indicate that, according to phylum classification, Proteobacteria (100%) was identified in soil A, Actinobacteria (66.4%) > Proteobacteria (31.1%) > Bacteriodetes (2.1%) > Acidobacteria (0.3%) in soil B, and Actinobacteria (63.1%) > Proteobacteria (36.9%) in soil C. According to genus classification, Pseudomonas was dominant in soil A (98%), Arthrobacter in soil B (68%) and C (61%). There were no detections of pathogens such as Salmonella, Campylobacter and Clostridium perfringens. However, high concentration of Ralstonia pickettii causing bacteremia was observed. Although carcass disposal soils examined in this study were not highly contaminated with pathogens, further monitoring is still needed to examine the potential threat of pathogens in leachate derived from carcass disposal sites.