• The Journal of the Korea Contents Association
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• v.11 no.6
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• pp.326-336
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• 2011

The Purpose of this study was to examine effects of mentoring function on career development and organizational effectiveness in private security service organization. Example number used on interpretation finally using purposive sampling method after this study establishes 5 places private security service company's security guard by population in Seoul on March, 2010 is total 227 people. Reliability of questionnaire appeared Cronbach's ${\alpha}$ value more than .667. Conclusions that appears in this study is as following. First, private security service organization's Mentoring function affects in career development. That is, if friendship, patronage, career management, society mind, and role model are mobilized, innovative own development, special capacity development, and information competitive power development are helped. Second, private security service organization's Mentoring function affects in organization effectiveness. If friendship, patronage, career management, society mind, and role model are mobilized, career satisfaction, organization immersion, and job satisfaction increase. On the other hand, change of jobs intention decreases if function of society mind is mobilized. Third, private security service organization's career development affects in organization effectiveness. If reform and special capacity development are helped, career satisfaction, organization immersion, and job satisfaction increase. While change of jobs intention decreases as development of information competition is helped. Fourth, Mentoring function exerts influence of causality on career development and organization effectiveness. That is, Mentoring exerts direct influence on organization effectiveness, but it exerts indirect effect through career development.

• Applied Biological Chemistry
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• v.37 no.6
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• pp.463-471
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• 1994

Physicochemical properties, gelatinization and retrogradation characteristics of surfactant added sweet potato starches were investigated. Three different surfactants, SSL (sodium stearoyl-2-lactylate), Dimodan (mono/diglyceride) and SE1670 (sucrose fatty acid ester 1670) were used. Shapes and crystallinities of starch granules were not changed by the addition of surfactants. Total lipid contents increased and the amylose content decreased by the addition of surfactants and the order was as follows: SE1670>SSL>Dimodan. The swelling power and solubility at $80^{\circ}C$ decreased in the surfactant added starches. By amylograph, initial gelatinization temperature of untreated sweet potato starch was $72.5^{\circ}C$, and did not change by the addition of surfactants, but SE1670 or Dimodan added starch showed the peak viscosity. The peak temperature of gelatinization and enthalpy of untreated starch by DSC were $53.9^{\circ}C$ and 1.3cal/g, respectively. The peak temperature increased by the addition of surfactants, while the enthalpy decreased. In gelatinization by alkali, the viscosity was lower in surfactant added starches than in untreated starch at concentration. The degree of retrogradation by ${\alpha}-amylase-iodine$ method was a lower in SSL and SE1670 added starches than untreated starch and the enthalpy by DSC also decreased in surfactant added and retrograded starches.

• Science of Emotion and Sensibility
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• v.22 no.3
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• pp.3-20
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• 2019

With advancements in technology of virtual reality, it is used for various purposes in many fields such as medical care and healthcare, but as the same time there are also increasing reports of nausea, eye fatigue, dizziness, and headache from users. These symptoms of motion sickness are referred to as cybersickness, and various researches are under way to solve the cybersickness problem because it can cause inconvenience to the user and cause adverse effects such as discomfort or stress. However, there is no official standard for the causes and solutions of cybersickness at present. This is also related to the absence of tools to quantitatively measure the cybersickness. In order to overcome these limitations, this study proposed quantitative and objective cybersickness evaluation method. We measured 128-channel EEG waves from ten participants experiencing visually stimulated virtual reality. We calculated the relative power of delta and alpha in 11 regions (left, middle, right frontal, parietal, occipital and left, right temporal lobe). Multiple regression models were obtained in a stepwise manner with the motion sickness susceptibility questionnaire (MSSQ) scores indicating the susceptibility of the subject to the motion sickness. A multiple regression model with the highest under the area ROC curve (AUC) was derived. In the multiple regression model derived from this study, it was possible to distinguish cybersickness by accuracy of 95.1% with 11 explanatory variables (P_D.MF, P_D.LP, P_D.MP, P_D.RP, P_D.MO, P_A.LF, P_A.MF, P_A.RF, P_A.LP, P_A.RP, P_A.MO). In summary, in this study, objective response to cybersickness was confirmed through 128 channels of EEG. The analysis results showed that there was a clearly distinguished reaction at a specific part of the brain. Using the results and analytical methods of this study, it is expected that it will be useful for the future studies related to the cybersickness.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.407-416
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• 2010

The purpose of this study was to examine the relationship among women's leisure dance participation, physical image and self-esteem. The subjects in this study were 300 female adults who were selected by cluster sampling from the population that consisted of women who were in their 20s to 50s. In the population, some women got leisure dance at fitness clubs, sport lovers' clubs and dance academies in Seoul and Gyeoggn Province as of 2009, and the others didn't. As for the reliability of the questionnaires used in the study, the Cronbach alpha coefficient of the questionnaires was above .70. The major statistical methods utilized in this study were Frequencies, reliability factor analysis, analysis covariate, regression analysis and path analysis. The findings of the study were as follows: First, the women who got leisuer dance evaluated their own physical image and self-esteem more favorably than the others who didn't. Second, the length of participation affected the body shape, satisfaction level and flexibility, and the intensity of participation impacted on the body shape and muscular power. Third, the length of participation had an impact on self-esteem, and the frequency of participation exerted a negative influence on that. Fourth, the degree of participation had a causal impact on physical image and self-esteem. In other words, the degree of getting leisure dance affected self-esteem in a firsthand manner and exerted a secondhand influence on that through physical image as well. The findings of the study suggested that physical image was one of major parameters to link participation in rhythmic exercise and self-esteem.

• Microbiology and Biotechnology Letters
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• v.41 no.4
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• pp.416-424
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• 2013

In the course of a study for the development of functional foods utilizing Woosul (Achyranthis radix), the components and various biological activities of Korean Woosul (AJN: Achyranthes japonica Nakai) and Chinese Woosul (ABB: Achyranthes bidentata Blume) were compared. Woosul in Korea, including AJN and ABB, are regulated and part of the Korean Pharmacopoeia. From AJN and ABB, ethanol extracts and their subsequent organic solvent fractions were prepared and their in-vitro antimicrobial, antioxidant and anti-diabetes activities were evaluated. Although AJN and ABB have no clear distinction in terms of usage in Korea, our results suggest that AJN has higher quantities of lipid-soluble components and lower amounts of water-soluble sugars than does ABB. ABB also appears to possess greater amounts of flavonoid and polyphenol substances than AJN. Analyses of biological activities showed that the fractions of AJN were more active as antibacterial agents, and possessed more pronounced ${\alpha}$-glucosidase inhibitory activities than those of the ABB fractions. However, the antioxidant activities of the ABB fractions, as determined by DPPH anion-, ABTS cation-, nitrite-scavenging activity and reducing power, were higher than those of the AJN fractions. Our results suggest that the components and bioactivity of the extracts and subsequent fractions of AJN and ABB are different. Therefore, usage of either AJN or ABB should be carefully considered, as regards their individual properties, when the active fractions of Woosul are employed in the development of functional foods or novel plant-derived medicines.

• Food Science and Preservation
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• v.23 no.2
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• pp.252-258
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• 2016

This study was conducted to investigate the antioxidant activities and physiological properties of Euphorbia humifusa extracts prepared using three different solvents (water, ethanol, and methanol). The highest total polyphenol content (293.25 mg/100 g) and total flavonoid content (21.05 mg/100 g) were observed in the methanol extract. The content of substances related to proanthocyanidin were highest in the water extract (8.42 mg/100 g), followed by methanol (5.70 mg/100 g) and ethanol (5.39 mg/100 g) extracts. The DPPH and ABTS radical scavenging activities of the methanol extract were 91.72% and 85.83%, respectively, at 50 mg% concentrations, which were higher than those of the other extracts. The extract reducing power decreased in the following order: ethanol > methanol > water. The methanol extract had relatively high antioxidant activity. The ${\alpha}-glucosidase$ and xanthine oxidase inhibitory activities of the methanol extract at a concentration of 10 mg% were somewhat higher than the other extracts. HMG-CoA reductase inhibitory activity in the water extract was slightly higher than in the methanol and water extracts. These results indicated that Euphorbia humifusa extracts were a high-value food ingredient due to their antioxidant activities and nutritional value.

• Food Science and Preservation
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• v.23 no.2
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• pp.246-251
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• 2016

This study was performed to determine the effects of drying methods (HD, hot air drying; FD, freeze-drying) on the antioxidant and physiological abilities of Haw (Crataegus pinnatifida Bunge). Powder color values of dried Haw, L and b, were higher for HD, while the chroma values were higher for FD. The total polyphenol, and flavonoid contents of HD Haw and FD Haw were found to be $9.29{\pm}0.50mg\;GAE/mL$ and $15.48{\pm}0.38mg\;GAE/mL$, and $9.41{\pm}0.26mg\;RHE/mL$ and $26.46{\pm}0.34mg\;RHE/mL$, respectively. DPPH radical scavenging abilities at 100 mg/mL concentration were higher for FD (64.90%) than HD (28.66%), as were the reducing power, ABTS radical scavenging ability, and nitrite scavenging ability. However, the HMG-COA reductase of HD (74.67%) was higher than that of FD (72.10%). The ${\alpha}-glucosidase$ inhibitory abilities of HD and FD at a concentration of 0.1 mg/mL were 24.69% and 97.38%, respectively. These results indicate that Haw is a potential functional material and that freeze-drying Haw is better than hot air drying.

• Journal of the Korean Chemical Society
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• v.23 no.4
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• pp.243-247
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• 1979

Kinetics of the reaction of phenethyltosylate with substituted pyridines at 50, 60 and 70$^{\circ}C$ in acetonitrile were investigated by an electric conductivity method. The effects of substituents on the reaction of phenethyltosylate with pyridines were discussed. The rates of reaction were increased with electron donating power of substituents of pyridines. The isokinetic relationship was shown $E_{\alpha}$ and ${\Delta}S^{\neq}$, it's temperature was 240$^{\circ}$K. Bronsted plots were excellent linear except for 4-amino pyridine given by the following equation, logk=O. 22pKa-3.71 (r=O. 986). According to a plot of log k against Hammett substituent constants, the Iinearity was good except for bamino pyridine too, log k= -1.330${\sigma}$+0.08 (r= -0.987). In both cases, deviation of 4-amino pyridine from linearity was considered to solvent effect, resonance effect and ${\sigma}$ value itself. From all the above results, this reaction was found typical $S_N2$ reaction which the rates of reaction was determined by C…N bond formation at transition state.

• Journal of Life Science
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• v.20 no.9
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• pp.1385-1393
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• 2010

Three mold strains, Aspergillus oryzae (AOFAG), Aspergillus kawachii (AKFAG), and Monascus purpureus (MPFAG) were used for fermentation of Angelica gigas Nakai powder. The contents of polyphenolic compounds, flavonoids, minerals, decursin and decursinol angelate and the activities of DPPH (${\alpha},{\alpha}'$-diphenyl-$\beta$-picrylhydrazyl) free radical scavenging, reducing power, and tyrosinase were measured. The highest contents of phenolic compound and flavonoid were NFAG at 2.78% and MPFAG at 1.18%, respectively. Major minerals were K, Mg, Fe, Na and Ca. Decursin and decursinol angelate were the major ingredients of Angelica gigas according to HPLC analysis. Decursin area was higher in all fermented Angelica gigas than in NFAG. The activities of free radical scavenging and tyrosinase were stronger in all fermented Angelica gigas than NFAG. However, the Fe/Cu reducing powers were stronger in NFAG than all fermented Angelica gigas. Overall, these results may provide the basic data needed to understand the biological activities and chemical characteristics of Angelica gigas fermented by mold for the development of functional foods.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.207-216
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• 2013

The aim of this study is to design a classifier for sleep stage analysis and select important feature set which shows sleep stage well based on physiological signals during sleep. Sleep has a significant effect on the quality of human life. When people undergo lack of sleep or sleep-related disease, they are likely to reduced concentration and cognitive impairment affects, etc. Therefore, there are a lot of research to analyze sleep stage. In this study, after acquisition physiological signals during sleep, we do pre-processing such as filtering for extracting features. The features are used input for the new combination algorithm using genetic algorithm(GA) and neural networks(NN). The algorithm selects features which have high weights to classify sleep stage. As the result of this study, accuracy of the algorithm is up to 90.26% with electroencephalography(EEG) signal and electrocardiography(ECG) signal, and selecting features are alpha and delta frequency band power of EEG signal and standard deviation of all normal RR intervals(SDNN) of ECG signal. We checked the selected features are well shown that they have important information to classify sleep stage as doing repeating the algorithm. This research could use for not only diagnose disease related to sleep but also make a guideline of sleep stage analysis.