Since many reports for the influence of the essential oils on the oral microorganism were presented, it is important to use the essential oils in clinical field. At the present day which emphasized the quality of life, oral malodor is one of the serious problems, so we need to try to decrease of oral malodor. This study was designed to make on evidence of the effect of essential oils to oral malodor clinically and to develop on effective treatment for oral malodor by using the dental paste which contains essential oils. 40 dental students volunteered to participate in this study and double blind test was used. At the beginning, all subjects were measured their morning malodor prior to this experiment, at the 3cm posterior to their incisal edge of the oral cavity by Halimeter(Interscan Co. Chatsworth, CA). After that we divided the students in half into two groups A and B. We have supplied different tooth pastes, dental paste A and B, to two groups respectively. The dental paste B contained essential oils which are tea tree, lemon and peppermint. All students used different tooth pastes everyday for 3 weeks. And all students were measured their morning malodor every week with the same method by using Halimeter. This study was resulted that ; 1. The dental paste which contains essential oils has continuously decreased the morning malodor during the whole period of experiments. 2. The number of students with increase in their morning malodor was generally decreased in the group B who used the toothpaste which contains essential oils, compared with the group A who used the toothpaste which didn't contain essential oils on the 2nd and 3rd week of the experiment. 3. In the group B, the average data on increasing rate of morning malodor was less than in the group A. 4. In the 2nd and 3rd week of the experiment, the data on the rate of morning malodor of the group B was generally decreased continuously compared with the group A. These results have statistically significance under 95% confidence interval of the difference.(p$\leq$0.05) As the result, the toothpaste which was containing essential oils was effective in decreasing the morning malodor.
Park, Hye-Jin;Lee, Eun-Ho;Kim, Myung-Uk;Lee, Seon-Ho;An, Dong-Hyun;An, Bong-Jeun;Kwon, Joong-Ho;Cho, Young-Je
Journal of the Korean Society of Food Science and Nutrition
/
v.43
no.8
/
pp.1236-1247
/
2014
Gamma irradiated-treatment of natural medicinal plants can be used to improve extraction transference number and for qualitative improvement of color when applied to functional material exploration. This study investigated the biological activities of Aralia elata cortex extracts upon gamma irradiation. In addition, different physical techniques [photostimulated luminescence (PSL) and thermoluminescence (TL)] were used for irradiation identification of Aralia elata cortex. In PSL analysis, non-irradiated (0 kGy) sample showed a negative result of 400 photon counts (PCs), whereas irradiated (5, 10, and 30 kGy) samples showed positive results of 90,100.00, 312,614.33, and 321,661.67 PCs, respectively. In the TL method, growth curve showed very unusual behaviors around $200^{\circ}C$ upon natural-irradiation of the non-irradiated (0 kGy) sample and around $150{\sim}250^{\circ}C$ for the irradiated (5, 10, and 30 kGy) samples. The TL ratio was 0.1 in non-irradiated samples at 0.011, whereas the values of irradiated samples (5, 10, and 30 kGy) were 0.1 at 1.105, 1.009, and 2.206, respectively. For phenolics of gamma-irradiated Aralia elata cortex, water and 50% ethanol extracts had the highest amounts, $17.30{\pm}0.40mg/g$ and $18.87{\pm}0.46mg/g$ at 10 kGy irradiation, respectively. The inhibitory activities of angiotensin-converting enzyme and xanthin oxidase were higher in both irradiated water and 50% ethanol extracts than in non-irradiated ones. For pancreatin ${\alpha}$-amylase and ${\alpha}$-glucosidase inhibitory activities, water and 50% ethanol extracts containing $200{\mu}g/mL$ of phenolics showed high inhibitory activities of 60~100% at all irradiation doses (0~30 kGy). This result confirmed that Aralia elata cortex extracts have greater anti-diabetic effects than acabose as a diabetic remedy. Gamma-irradiated Aralia elata cortex extracts are useful as a functional material with anti-diabetic effects. Thus, Aralia elata cortex extracts can be used as a functional material with various biological activities, and gamma-irradiation can be used to amplify biological activities in plants.
Rha, Young Ah;Kang, Min Jeong;Lee, Sun Ho;Kim, Jung Yun
Culinary science and hospitality research
/
v.21
no.4
/
pp.284-293
/
2015
This study was intended to investigate food, exercise habits, perception of health status and the effects of nutrient intake of female college students. Food habits such as regularity of meal time, repast of breakfast, numbers of night snack per week and duration of meal were assessed via a self reporting questionnaire, and 24hrs recall method for nutrient intake was obtained from 155 female college students in Yangju-si. The mean height and weight of the subjects were $161.25{\pm}3.52cm$ and $52.26{\pm}4.52kg$, respectively. The average intakes of energy and nutrients were below the Korea recommended dietary allowance(RDA). Especially, The nutrient intakes(energy, protein, fat, fiber, calcium, iron, phosphorus, zinc, sodium, potassium, vitamin B6, niacin, vitamin C, folate, vitamin E, cholesterol) of the group in which the regularity of meal time per week was 5~7 days was significantly higher than the group in which the regularity of meal time was < 3 days (p<0.005). The nutrient intakes influenced by the food habit such as the regularity of meal time, skipping breakfast, and the numbers of night snack per week but did not differ in accordance with the regular exercise habits and perception of health status. These findings suggest that nutritional education based on female college students' food habits(regularity of meal time, skipping breakfast and night snacks per week, and duration of meal) may be required to improve dietary variety. It is considered that the improvement in dietary habits will contribute to the improvement of nutrition.
Background : In patients with chronic obstructive pulmonary disease(COPD), several factors have been associated with a poor prognosis. These include old age, low $FEV_1$ low diffusing capacity, high alveolar-arterial oxygen pressure difference, and finally cor pulmonale. This study was done to investigate if the ECG signs suggesting cor pulmonale were independent prognostic factors in patients with COPD. Method : We analyzed ECG, pulmonary function data and arterial blood gas values in 61 patients who were admitted through the emergency department with an acute exacerbation of COPD. The ECG signs reflecting cor pulmonale were right strial overloading(RAO), right bundle branch block, right ventricular hypertrophy and low-voltage QRS. The 61 patients were divided into 2 groups ; group I with no ECG signs(n=36) and group II with one or more ECG signs(n=25) suggesting cor, pulmonale. Results : Poor, prognostic factors by univariate analysis were low $FEV_1$, $FEV_1$ % pred., VC % pred., DLco, DLco % pred., $PaO_2$ and $SaO_2$ high $PaCO_2$ presence of ECG signs reflecting cor pulmonale, presence of mental status change, use of mechanical ventilator, and long term use of glucocorticoid. A multivariate analysis indicated that age(risk ratio=1.13, 95% confidence interval 1.05-1.23), DLco % pred. (risk ratio=0,97. 95% confidence interval 0.94-0.99), $PaO_2$ (risk ratio=0.95, 95% confidence interval 0.90-0.99) and RAO(risk ratio=5.27, 95% confidence interval 1.40-19.85) were independent prognostic factors of survival. There was a significant difference in survival between the patients with and without RAO(p=0.038). The survival rates at 1, 2, and 5 years were 94.5%. 81.4%, and 50.0% in patients without RAO and 82.4%, 70.6%, and 27.5% in patients with RAO, respectively. Conclusion : These results suggest that the presence of ECG signs reflecting cor pulmonale is a predictor of survival and that RAO of these ECG signs is a significant independent predictor of survival in patients with COPD.
Background : Spontaneous pneumothorax have been managed with a variety of methods. The technique most frequently used is chest tube drainage. Small caliber catheters were first used in the management of pneumothorax complicating the percutaneous needle aspiration lung biopsy, and the try to treat spontaneous pneumothorax also has been reported. However, the value of small caliber catheters in spontaneous pneumothorax has not been fully evaluated. So, we tried to elucidate the efficacy of 8 French catheter in the management of spontaneous pneumothorax. Method : From January, 1990, to April, 1994, 44 patients with spontaneous pneumothorax treated at Chung-Ang university hospital were reviewed. The patients were sub-divide into 8 French catheter insertion group (n=21) and chest tube insertion group (n=23). We compared the presence of underlying lung disease, the extent of the collapse, the duration of indwelling catheter and complication between two groups. Results : 1) The duration of indwelling showed no significant difference between 8 French catheter group and chest tube. But, complication after insertion as subcutaneous emphysema was developed in only chest tube group. (p<0.05) 2) In the primary spontaneous pneumothorax, all case of the pneumothorax of which size was less than 50% showed complete healing with 8 French catheter insertion. Whereas the success rate in patients with large pneumothorax (more than 50%) was tended to be dependent on the age. 3) In the patients with secondary spontaneous pneumothorax who were managed with 8 French catheter, the success rate was trended to be high if the underlying disease of pneumothorax was not COPD and if the patient was young. Conclusion : These results show that 8 French catheter insertion probably was effective in the pneumothorax less than 50%, the primary spontaneous pneumothorax, young age or secondary pneumothorax not associated with COPD.
Background : Lung cancer is frequently cited as an example of a disease caused solely by exposure to environmental carcinogens. However, there is a growing realization that the genetic constitution is also important in determining individual's susceptibility to lung cancer. This genetic susceptibility may result from functional polymorphims of the genes involved in carcinogen metabolism. In this study, the association between GSTM1 and CYP1A1 polymorphisms and the lung cancer risk in Korean males was investigated. Materials and Method : The study population consisted of 153 male lung cancer patients and 143 healthy male controls. The GSTM1 and CYP1A1 genotypes were determined by multiplex PCR and PCR-RFLP analysis. Result : There were no significant differences in the frequency of the GSTM1 null genotype between the cases and the controls. When the cases were categorized by their histologic type, the frequency of the GSTM1 null genotype in the small cell carcinoma group was higher than those of the controls(67.2% vs 55.9%), but the difference was not statistically significant(OR=1.772 ; 95% CI=0.723-4.340). The distribution of the CYP1A1 MspI genotypes among the cases were similar to those among the controls. When the cases were grouped by their histologic type, the ml/m1, ml/m2, m2/m2 genotypes frequencies among the small cell carcinomas(23.0%, 38.5%, and 38.5%, respectively) were significantly different from those of the controls(36.4%, 46.2%, and 7.4%, respectively, p<0.05). When the m1/m1 genotype was used as a reference, the ml/m2 and m2/m2 genotypes were associated with an increased risk for small cell lung cancer(ml/m2 genotype : OR=1.337, 95% CI=0.453-3.947 ; m2/m2 genotype : OR=3.374, 95% CI=1.092-10.421). Conclusion : These results suggest that the GSTM1 and CYP1A1 genotypes may be a genetic determinant of the risk for lung cancer, particlulary small cell carcinoma. Further investigation is needed to confirm these results.
Chung, Man Pyo;Yoo, Chul Gyu;Han, Sung Koo;Shim, Young-Soo;Rhee, Chong H.;Han, Yang Chol;Kim, Young Whan
Tuberculosis and Respiratory Diseases
/
v.43
no.6
/
pp.936-944
/
1996
Background: Neutrophils or monocytes separated in vitro by the adherence to plastic surface are known to be activated by surface adherence itself and subsequent experimental data might be altered by surface adherence. Adhesion molecules and gene transcription of the inflammatory mediators are known to be associated in this process. To evaluate whether adhesion molecule and transcriptional activation of the inflammatory substances are also involved in the activation of human alveolar macrophage by the adherence procedure, we designed this experiment. Method : Bronchoalveolar lavage was performed in the person whose lung of either side was confirmed to be nonnal by chest cr and alveolar macrophage was harvested. To measure the expression of Interleukin-8(IL-8) mRNA, manganese superoxide dismutase(SOD) mRNA and CD11/CD18 mRNA in human alveolar macrophage of both adherence state and suspension state, Northern blot analysis was done at 0, 2, 4, 8 and 24hrs after the adherence to plastic surface and during suspension state. Then, phorbol myristate acetate(pMA) and N-formyl-methionyl-leucyl-phenylalanine(fMLP) were added respectively in the same experimental condition. Result : 1) Human alveolar macrophages in the adherent state induced IL-8 mRNA and SOD mRNA expression which was maximal at 8 hours after the adherence to plastic surface. But we could not observe the upregulation of CD18 mRNA by surface adherence. 2) PMA induced these mRNA expression both in the adherent cell and the nonadherem cells, but the induction of mRNA expression by fMLP occurred only in the adherent cells. Conclusion: These results suggest that adherence of huamn alveolar macropahge is an important cell-activating event that may play a critical role in the modulation of lung inflammatory respones.
Kim, Soo-Hyun;Lee, Eung-Ho;Kawabata, Toshiharu;Ishibashi, Tohru;Endo, Tsugao;Matsui, Masami
Journal of the Korean Society of Food Science and Nutrition
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v.13
no.3
/
pp.291-306
/
1984
The possibility of formation of carcinogenic N-nitrosamines such as nitrosodimethylamine(NDMA), nitrosodiethylamine (NDEA) and nitrosopyrolidine (NPYR) during the fermentation of Kimchi was investigated. Three different types of Kimchi, formulated with chinese cabbage, red pepper powder and garlic, with or without one of both fermented shrimp and anchovy juice, were cured for 75 days at $5^{\circ}C$. The changes in contents of nitrates, nitrites, pH, ascorbic acid, secondary amines, trimethyl-aminoxide (TMAO), trimethylamine (TMA) and NDMA were analyzed periodically during the fermentation. TMAO, TMA. DMA, nitrate, nitrite and ascorbic acid were analyzed by colorimetric methods, and NDMA, NPYR and NDEA were determined by the method of GLC-TEA. Although the total secondary amines markedly increased, no significant changes in the levels of TMAO and TMA were observed during the fermentation Kimchi added with fermented shrimp or anchovy juice. The predominating component of secondary amines was confirmed to be dimethylamine by means of nitrosating technique coupled with gas chromatography. No appreciable increase in the level of nitrites was appeared although nitrate level in the Kimchi apparently decreased. Non detectable or trace level of nitrosamine formation was detected whereas the nitrates fairly decreased during the fermentation of Kimchi. This could be explained by the fact that the lack of nitrites was resulted in the system due to rapid consumption of nitrites formed from nitrates by the reactions with ascorbic acid and amino acids which have been known as inhibitors of nitrosation reaction.
Journal of the Korean Society of Food Science and Nutrition
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v.16
no.3
/
pp.35-39
/
1987
The present study was attempted to obtain the basic data concerning a reasonable preparing method and the optimum fermentation conditions of Kochujang (Red pepper paste). To establish the standard qualify of Kochujang, changes of the chemical composition and the numbers of bacteria and feasts in Kochujang during fermentation were observed. Moisture, salts and crude ash contents of Kochujang were not changed significantly during fermentation. Titrable acidity and amino nitrogen gradually increased with the time-passed, whereas crude fat gradually decreased with the time-elapsed. And reducing sugar and total nitrogen increased until 40 days, but slightly decreased after this period. The numbers of bacteria and yeasts in the ingrients for the preparation of Kochujang were $3.9{\times}10^7/g$, $1.5{\times}10^3/g$ in red pepper powder, $7.6{\times}10^4/g$, $2.8{\times}10^2/g$ in salts. respectively, but those of sugar and malt were not more than 100/g. Microbial counts in Kochujang during fermentation increased until 40 days, but those are gradually decreased after that.
Machine learning is a field of artificial intelligence. It refers to an area of computer science related to providing machines the ability to perform their own data analysis, decision making and forecasting. For example, one of the representative machine learning models is artificial neural network, which is a statistical learning algorithm inspired by the neural network structure of biology. In addition, there are other machine learning models such as decision tree model, naive bayes model and SVM(support vector machine) model. Among the machine learning models, we use SVM model in this study because it is mainly used for classification and regression analysis that fits well to our study. The core principle of SVM is to find a reasonable hyperplane that distinguishes different group in the data space. Given information about the data in any two groups, the SVM model judges to which group the new data belongs based on the hyperplane obtained from the given data set. Thus, the more the amount of meaningful data, the better the machine learning ability. In recent years, many financial experts have focused on machine learning, seeing the possibility of combining with machine learning and the financial field where vast amounts of financial data exist. Machine learning techniques have been proved to be powerful in describing the non-stationary and chaotic stock price dynamics. A lot of researches have been successfully conducted on forecasting of stock prices using machine learning algorithms. Recently, financial companies have begun to provide Robo-Advisor service, a compound word of Robot and Advisor, which can perform various financial tasks through advanced algorithms using rapidly changing huge amount of data. Robo-Adviser's main task is to advise the investors about the investor's personal investment propensity and to provide the service to manage the portfolio automatically. In this study, we propose a method of forecasting the Korean volatility index, VKOSPI, using the SVM model, which is one of the machine learning methods, and applying it to real option trading to increase the trading performance. VKOSPI is a measure of the future volatility of the KOSPI 200 index based on KOSPI 200 index option prices. VKOSPI is similar to the VIX index, which is based on S&P 500 option price in the United States. The Korea Exchange(KRX) calculates and announce the real-time VKOSPI index. VKOSPI is the same as the usual volatility and affects the option prices. The direction of VKOSPI and option prices show positive relation regardless of the option type (call and put options with various striking prices). If the volatility increases, all of the call and put option premium increases because the probability of the option's exercise possibility increases. The investor can know the rising value of the option price with respect to the volatility rising value in real time through Vega, a Black-Scholes's measurement index of an option's sensitivity to changes in the volatility. Therefore, accurate forecasting of VKOSPI movements is one of the important factors that can generate profit in option trading. In this study, we verified through real option data that the accurate forecast of VKOSPI is able to make a big profit in real option trading. To the best of our knowledge, there have been no studies on the idea of predicting the direction of VKOSPI based on machine learning and introducing the idea of applying it to actual option trading. In this study predicted daily VKOSPI changes through SVM model and then made intraday option strangle position, which gives profit as option prices reduce, only when VKOSPI is expected to decline during daytime. We analyzed the results and tested whether it is applicable to real option trading based on SVM's prediction. The results showed the prediction accuracy of VKOSPI was 57.83% on average, and the number of position entry times was 43.2 times, which is less than half of the benchmark (100 times). A small number of trading is an indicator of trading efficiency. In addition, the experiment proved that the trading performance was significantly higher than the benchmark.
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