• Journal of the Korean Applied Science and Technology
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• v.38 no.3
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• pp.824-831
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• 2021

1, 2-Octanediol galactoside (OD-gal) has been synthesized from 1, 2-octanediol (OD), as a safer cosmetic preservative, using recombinant Escherichia coli β-galactosidase (β-gal). To confirm the molecular structure of synthesized OD-gal, mass spectrometry and NMR (¹H- and ¹³C-) spectroscopy of OD-gal were carried out. In the reaction mixture, a sodium adduct ion of OD-gal (m/z=331.1732) was identified using mass spectrometry analysis. In addition, ¹H NMR spectrum of OD-gal showed multiple peaks corresponding to the galactosyl group, which is evidence of galactosylation on OD. Downfield proton peaks at δ_H 4.39 ppm and multiple peaks from δ_H 3.98~3.55 ppm were indicative of galactosylation on OD. Up field proton peaks at δ_H 1.52~1.26 ppm and 0.89 ppm showed the presence of CH₂ and CH₃ protons of OD. ¹³C NMR spectrum revealed the presence of 24 carbons suggestive of α- and β-anomers of OD-gal. Among 14 carbon peaks from each anomer, the 4 peaks at δ_C 31.4, 29.0, 22.3, and 13.7 ppm were assigned to be overlapped showing only 24 peaks out of a total of 28 peaks. The mass value from mass spectrometry analysis of OD-gal, and ¹H and ¹³C NMR spectral data were in good agreement with the expecting structure of OD-gal. Finally, we identified a galactose molecule from the hydrolysate of OD-gal using β-gal. We are expecting that through future study it will eventually be able to develop a safe cosmetic preservative.

• Korean Journal of Environment and Ecology
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• v.28 no.5
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• pp.597-606
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• 2014

The preference of general adult on the forest and forest road was surveyed and analyzed for the development of forest therapy program. This study was conducted for the purpose of providing a basis for the development of more targeted-and differentiated-forest therapy program by analyzing the preference of general adult on the forest and forest road from 19 April 2014 to 30 June 2014 through on-line survey. The sample group of 613 adults has been used in practical analysis. Using SPSS 21.0, We looked at the preference differences of the forest and forest road according to the demographic characteristics(sex, age, education level, occupation and monthly income) through descriptive statistics analysis, frequency analysis, cross tabulation analysis, multiple response analysis. The seasonal preference was spring, autumn, any season, summer, winter in order and there was a significant difference according to one's sex, age, occupation and monthly income. There was a significant difference in the configuration of forest according to one's monthly income. The favorite type of forest as a place of forest healing program was natural recreational forest, healing forest, urban forest, park, school forest in order. There was no significant difference in the favorite forest type regarding to the distance to the healing place from one's residence in all cases. There was a significant difference in the type of forest according to one's monthly income. The most favorite configuration of forest road was gentle sloped road. Once walking into the forest for the purpose of healing, the favorite forest road length was 1.5~3 km, less then 1.5 km, more than 3 km in order and there was a significant difference in preference according to one's sex, age, education level and monthly income. We believe that the healing program should be differentiated from the general form of it according to one's sex, age, education level, occupation and monthly income as a result of this investigation of preference of general adult on the forest and forest road for the development of forest therapy program. In particular, we believe that the differentiated program should be offered according to one's age. We expect this analysis to be used as a basis for the development of forest therapy program.

• Journal of the Korean Society of Food Science and Nutrition
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• v.35 no.6
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• pp.815-822
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• 2006

The purposes of this study were to investigate the consumer's perception of the subject to manage the foodservice operation in the university, and to analyze the effects of consumer's perception of the university foodservice qualify on intent to revisit and intent to recommend. The questionnaires were distributed to 575 students in the K University located in Masan, who were sampled by proportionate stratified sampling method. The surveys were peformed from May 17 to June 2, 2005. The 566 questionnaires were responded, and 6 unusable questionnaires were excluded, then 560 were used for the final analysis (response rate: 97.4%). For the statistical analysis, SPSS (12.0) was used to conduct the descriptive analysis, factor analysis reliability analysis, and multiple regression analysis. The results of this study were as follows: First 254 respondants (47.3%) did not know that their foodservice operation was managed by contract foodservice company, and 374 students (66.8%) did not know the name of the contract foodservice company which runned their foodservice operation. Second, the food factor of university foodservice quality had a significant positive effect on intent to revisit (P<0.001), and the food factor of university foodservice quality also had a significant positive effect on Intent to recommend (p<0.001). It was concluded that as the food factor of university foodservice qualify Increased, the intent to revisit and the intent to recommend the university foodservice increased. So when university foodservice managers plan the foodservice operation strategy, they should focus on increasing the perception of customers' foodservice quality and also advertising contract foodservice company's brand name.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.1-17
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• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• The Journal of the Korean bone and joint tumor society
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• v.9 no.1
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• pp.1-11
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• 2003

Purpose: To analysis of the result of the treatment of metastatic diaphyseal fracture of the humerus with closed interlocking intrameduallry nailing. Materials and Methods: Among surgically treated 29 patients with pathologic or impending fracture of diaphysis of the humeurs, 13 patients (16 cases) treated with closed intramedullary interlocking nail were selected for the study. The final result of pain relief and functional recovery was evaluated by modified rating system of Perez et al. Results: Primary cancer was diagnosed after fracture was developed in 2 patients and pathologic or impending fracture was occurred average period of 28.9 months after primary cancer was diagnosed. The main primary malignancies were multiple myeloma, lung cancer and breast cancer. Mean survival after humeral metastasis was 11.7 months. The final result was superior to fair in 13 of 16 cases, and poor in 3 cases with progression of tumor spread or distant dissemination to the ipsilateral fingers. Except the latter 3 patients and other 3 patients, who died before 3 months postoperatively, bony union was achieved in 10 cases. There were no complications related to surgery. Conclusion: Closed interlocking intrameduallry nailing is accomplished with brief operative time, small amount of bleeding and provides immediate stability with resultant early return of function to the arm. Additionally it allows early postoperative irradiation. However, some of our cases shows that intramedullary nailing can accelerate tumor spread and metastases elsewhere, so that serious consideration must be given in planning this treatment. In conclusion, the functional status before fracture, life expectancy, type of tumor and extent of involvement should be carefully considered to decide operative treatment of metastatic disease.

• Clinical and Experimental Pediatrics
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• v.49 no.6
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• pp.617-622
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• 2006

Purpose : High-Sensitivity C-reactive protein(hs-CRP) has been recognized as a very useful and sensitive predictor of the future risk of myocardial infarction. But the clinical significance of hs-CRP in children remains uncertain. To confirm the existence of obesity-induced vascular inflammation and the association between metabolic syndromes and elevation of CRP in children, we investigated the relationship among CRP, obesity, blood pressure(BP), and serum lipids in schoolboys. Methods : Twenty-eight obese(BMI $29.61{\pm}3.29kg/m^2$) and 93 non-obese(BMI $18.99{\pm}2.21kg/m^2$) boys aged 14 years were examined. Serum CRP levels was measured by the high sensitive latex turbidimetric immunoassay and subjects with CRP levels below 0.3 mg/dL were adopted to avoid the influence of acute infection. Results : Obese children had significantly higher hs-CRP levels than their non-obese group($0.104{\pm}0.075$ vs. $0.054{\pm}0.005mg/dL$). In the obese group, BMI, systolic blood pressure, diastolic blood pressure, apolipoprotein B, atherogenic index, and triglyceride were significantly higher than in nonobese. The BMI, diastolic blood pressure, apolipoprotein E, atherognic index, and triglyceride showed positive correlation with log CRP by simple regression. Multiple regression analysis indicated that BMI and apolipoprotein E were strongly related to CRP. Conclusion : This study revealed that obese children tended to have higher levels of serum hsCRP, BP elevation and dyslipidemia than the control group and that BMI and apolipoprotein E were strongly related to CRP. These results indicate that obesity related metabolic syndrome can be developed in children.

• Clinical and Experimental Pediatrics
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• v.49 no.10
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• pp.1037-1041
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• 2006

Purpose : The prevalence of obesity and nonalcoholic steatohepatitis(NASH) was increased in adolescents. This study was performed to observe the prevalence of elevated aminotransferase levels in adolescents and to assess the correlations between aminotransferase levels and obesity related parameters(body mass index, waist circumference, hip circumference, waist to hip ratio and insulin level). Methods : We obtained weight, height, waist circumference and hip circumference from 2,417 male and 1,219 female adolescents. Mean age was $15.7{\pm}0.7$ years old. We measured fasting insulin, aspartate aminotransferase(AST) and alanine aminotransferase(ALT). Obese and overweight were defined as body mass indices(BMI) of more than the 95th, and 85th-94th percentiles, respectively, for age and sex. Results : The number of adolescents with obesity is 324(8.9 percent). 414(11.4 percent) subjects belonged to the overweight group. The average ALT level of obese, overweight and control groups were significantly different(obese : $32.1{\pm}34.3U/L$, overweight : $19.6{\pm}13.6U/L$, control : $12.7{\pm}6.7U/L$, P<0.001). The average AST level was also different according to group(obese : $27.8{\pm}16.5U/L$, overweight : $22.8{\pm}8.6U/L$, control : $20.8{\pm}8.5U/L$, P<0.001). AST and ALT were correlated with anthropometric parameters and insulin level. After multiple regression analysis, waist circumference was the significant predictive value for AST(r=0.234, P<0.001). Waist circumference, BMI and insulin levels were significant predictive values for ALT(r=0.435, P<0.001). Conclusion : The prevalence of abnormal aminotransferase was higher in the obese and overweight groups than control group. Waist circumference was useful to predict abnormal aminotransferase levels.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.549-556
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• 2017

This study investigated the importance of social cognitive intervention and the cognitive rehabilitation intervention by comparing the difference and examining the relationship between neurological cognitive function and social cognitive function of stroke patients in the acute phase and chronic stroke before returning to the community. LOTCA, cartoon intention inference task, and social behavior sequence task were performed on 30 acute stroke inpatients and 30 chronic stroke patients from May 2015 to June 2016. A two sample t test was conducted to examine the differences between the groups. The Pearson's correlations test was performed to examine the correlation among the variables in each group. As a result, there were statistically significant differences between the neurological cognitive function and social cognitive function of acute stroke patients and chronic stroke patients who were undergoing rehabilitation training before returning to the community (p<0.05). A linear relationship was found between the thinking operation and social behavior sequence task in the acute stroke group (r=0.539, p<0.05). In the chronic stroke group, visual perception (r=0.530, p<0.05), visual motor organization (r=0.655, p<0.05) and thinking operation (r=0.534, p<0.05) were correlated with the cartoon intention inference task. In addition, the social behavior sequence task were correlated with visual organization (r=0.534, p<0.05) and thinking operation (r=0.764, p<0.05). As a result of multiple regression analysis, the neurological cognitive functions influencing the social cognitive function in the cartoon task was found to be the thinking operation (B = 0.431) in acute stroke patients and the thinking operation (B=0.272) and visuomotor organization (B = 0.218) in the case of chronic stroke. In addition, the results of the social behavior sequence task revealed the thinking operation (B=0.417) in the acute stroke patients, and thinking operation (B=0.267), visual motor organization(B=0.274) and visual perception(B=151) in chronic stroke patients to be significant. According to this result, there is a difference in the neurological and social cognitive levels between the two groups. Therefore, the social cognition is strongly related to the high level cognitive function as thinking operation of the neurological cognitive function. Therefore, in further research, it would be necessary to determine if there is a change in higher cognitive function in neurological cognitive function after applying a social cognition intervention program for stroke.

• Journal of agricultural medicine and community health
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• v.40 no.1
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• pp.21-31
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• 2015

Objective: This study was to evaluate the health-related quality of life (HRQoL) among patients with diabetes in Korea and to compare them with the HRQoL of individuals without diabetes history. Methods: The study subjects were 17,655 adults aged over 19 who participated in the 5th Korea National Health and Nutrition Examination Survey (2010-2012). The EuroQoL-5Dimension was used to evaluate HRQoL. Chi-square test, t-test, ANOVA and multiple regression analysis were performed to test the difference of HRQoL in diabetic subjects and controls. Results: The mobility dimension was the highest reported problem: 36.4% for diabetic subjects. The proportion of any reported problem was significantly high among diabetic subjects compared with two controls in terms of mobility [reference group: diabetic subjects, chronic controls: adjusted odds ratio (aOR)=0.77, 95% confidence interval (95% CI)=0.66-0.91, healthy controls: aOR=0.61, 95% CI=0.50-0.75], self-care [reference group: diabetic subjects, chronic controls: aOR=0.68, 95% CI=0.55-0.83, healthy controls: OR=0.69, 95% CI=0.51-0.94]. and usual activities [reference group: diabetic subjects, chronic controls: aOR=0.85, 95% CI=0.72-0.99, healthy controls: OR=0.79, 95% CI=0.62-0.98]. Also, EQ-5D index were significantly low in subjects with diabetes compared to two controls. Conclusions: Subjects with diabetes had a significantly lower HRQoL compared with two controls. To improve the quality of life of diabetics, it is necessary to study various variables related to the quality of life, and develop and manage various health programs or welfare policies reflecting socio-demographic characteristics and health related features that affect the quality of life.

• Journal of radiological science and technology
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• v.31 no.3
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• pp.259-266
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• 2008

Objective : The purpose of this study was to examine the relationship between bone mineral density (BMD) and the metabolic syndrome. Method : We conducted a cross-sectional study of 1204 adults(males: 364 females: 840) in a general hospital health promotion center. They were grouped into the normal and lower BMD group according to bone loss(osteopenia, osteoporosis), as determined by duel energy X-ray absorptiometery(DEXA). We analyzed the association between BMD and metabolic syndrome by multiple logistic regression analysis. After adjustment for age, weight, alcohol intake, smoking, regular exercise, regular intake of meals, and menopausal status, odds ratios for the prevalence of the metabolic syndrome by gender were calculated for lower BMD. Results : After adjustment for the effect of potential covariates, the prevalence of metabolic syndrome was associated with bone loss in men(p<0.001). If the odds ratio of normal group is 1.00, then that of the lower BMD group is 3.07(95% CI=1.83-5.16). The prevalence of metabolic alterations fitting the criteria of metabolic syndrome was significantly decreased in High BMI, Low HDL in men and in High BMI in women(p<0.05). Conclusions : This study shows that BMD was associated with metabolic syndrome. Further studies needed to obtain evidence concerning the association between BMD and metabolic syndrome.