• Food Science and Preservation
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• v.14 no.1
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• pp.35-41
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• 2007

As the consumption of environmentally friendly agricultural products increases, food safety is at the forefront of public health concerns. We analyzed the biological hazards of 26 species of leaf vegetables and 4 species of fruit according to types of cultivation (conventional or organic filming) and distribution system (giant retailers or organic food stores) using various culture media, automatic bacterial identification systems, and microscopy, Total bacterial count of unwashed agricultural product ranged from $5.2{\times}10^{3}\;to\;1.5{\times}10^{5}\;CFU/mL$ (from 0.1 g of agricultural products), and the average count dropped 25-fold (range, 8-60-fold) after water washing. Microbial levels of washed organic agricultural products were $6.0{\times}10^{2}-1.9{\times}10^{4}\;CFU/mL$, and were not significantly different f개m the microbial loads on conventionally farmed produce. There was no significant difference in bacterial count from agricultural produce purchased from giant retailers or organic food stores. Total microbial count of Chinese cabbage, welsh onion, red chicory and kale were comparatively high, and Enterobacter cloacae was isolated most frequently. Parasites were detected in agricultural products purchased from conventional farm products in the stores of giant retailers, and in organic food stores, and parasite prevalence was especially high in Chinese cabbages and welsh onion. The study indicated that cultivation methods and distribution systems did not cause significant differences in biological contamination levels of agricultural produce. Some vegetables and fruits were highly contaminated effective sanitizing methods to reduce these biological hazards are needed.

• Food Science and Preservation
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• v.22 no.4
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• pp.613-621
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• 2015

In this study, the anti-oxidant and anti-inflammatory activities of water extract (ASSW) and 70% ethanol extract (ASSE) of Allium sativum L. stems were investigated using Raw 264.7 cells induced by lipopolysaccharide (LPS). ABTS radical scavenging activities of ASSW and ASSE at $1000{\mu}g/mL$ concentration were 96.9% and 97.8%, respectively. In order to investigate the potential anti-inflammatory effects of ASSW and ASSE, nitric oxide (NO), pro-inflammatory cytokines, interleukin-6 (IL-6), and tumor necrosis factor including ${\alpha}$ (TNF-${\alpha}$), interleukin-$1{\beta}$ (IL-$1{\beta}$), and prostaglandin-E2 (PGE2) were measured. ASSW and ASSE at $100{\mu}g/mL$ concentration showed inhibitory effects against NO production by 18% and 23%, respectively. Production of IL-$1{\beta}$ and IL-6 after treatment with ASSW and ASSE at $100{\mu}g/mL$ decreased by approximately 28% and 15% for ASSW and 17% and 12% for ASSE, respectively. In addition, production of TNF-${\alpha}$ after treatment of $100{\mu}g/mL$ of ASSW and ASSE decreased by 24% and 23%, respectively. In addition, the treatment of $100{\mu}g/mL$ of ASSW and ASSE showed inhibitory expressions against PGE2 by 45.47% and 33.87%, respectively. These results suggested that ASSE showed greater inhibitory activity than that of the ASSW by the suppression of inflammatory mediators, including NO, IL-6, TNF-${\alpha}$ and PGE2 production, and the expressions of iNOS and COX-2 in macrophages. In conclusion, ASSW and ASSE may have some ancillary effects on inflammatory factors as potential anti-inflammatory agents.

• Food Science and Preservation
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• v.21 no.3
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• pp.412-420
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• 2014

This study was performed to investigate the effect of fermented Hovenia dulcis Thunb fruit water extract on biomarkers for acute (a) ethanol-induced hangover and chronic (c) ethanol-induced liver injury in rats. For acute ethanol-induced hangover, the rats were administered distilled water (D.W., 10 mL/kg body wt.), Hovenia dulcis Thunb fruit water extract (HWE, 400 mg/10 mL/kg body wt.) and fermented HWE (FHWE, 400 mg/10 mL/kg body wt.), respectively, before 40% ethanol (5 g/kg body wt.) was administered. For chronic ethanol-induced liver injury, the rats were randomly divided into the normal control (cNC), ethanol (cET), cET-HWE and cET-FHWE groups. The cNC and cET groups were administered D.W. (10 mL/kg body wt.) before 40% alcohol (5 g/kg body wt.) was administrered for 21 days. The cET-HWE and cET-FHWE groups were administered HWE (400 mg/10 mL/kg body wt.) and FHWE (400 mg/10 mL/kg body wt.), respectively before 40% ethanol (5 g/kg body wt.) administration for 21 days. For acute ethanol-induced hangover, the serum alcohol and acetaldehyde concentrations were more significantly reduced in the aHWE and aFHWE groups than in the aET group. Moreover, the effect of FHWE was greater than that of HWE. For chronic ethanol-induced liver injury, the serum ethanol, acetaldehyde, ${\gamma}$-glutamyl transpeptidase (${\gamma}$-GTP) levels and the hepatic lipids concentration more significantly dropped in the cET-HWE and cET-FHWE groups than in the cET group. The FHWE administration showed faster recovery of the serum glucose concentration than in the cET and cET-HWE groups. The body weight reduction tended to normalize in the cET-HWE and cET-FHWE groups, which is ideal for chronic ethanol administration. These results suggest that FHWE has a protective effect against ethanol-induced liver damage, as evidenced by its ability to lower the serum ethanol and acetaldehyde concentrations after alcohol administration, and by its ability to decrease the level of ${\gamma}$-GTP and hepatic lipids. FHWE also elevated serum glucose concentration. Therefore, FHWE is effective in reducing ethanol-induced hangover and can play a beneficial role in the treatment of ethanol-induced liver damage as well as body weight reduction.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.69-85
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• 2014

Carbon stocks of NFI plots can be accurately estimated using field survey information. However, an accurate estimation of carbon stocks in other unsurveyed sites is very difficult. In order to fill this gap, various spatial information can be used as an ancillary data. In South Korea, there is the 1:5,000 forest type map that was produced by digital air-photo interpretation and field survey. Because this map contains very detailed forest information, it can be used as the high-quality spatial data for estimating carbon stocks. In this study, we compared three upscaling methods based on the 1:5,000 forest type map and 5th national forest inventory data. Map algebra(method 1), RK(Regression Kriging)(method 2), and GWR(Geographically Weighted Regression)(method 3) were applied to estimate forest carbon stock in Chungcheong-nam Do and Daejeon metropolitan city. The range of carbon stocks from method 2(1.39~138.80 tonC/ha) and method 3(1.28~149.98 tonC/ha) were more similar to that of previous method(1.56~156.40 tonC/ha) than that of method 1(0.00~93.37 tonC/ha). This result shows that RK and GWR considering spatial autocorrelation can show spatial heterogeneity of carbon stocks. We carried out paired t-test for carbon stock data using 186 sample points to assess estimation accuracy. As a result, the average carbon stocks of method 2 and field survey method were not significantly different at p=0.05 using paired t-test. And the result of method 2 showed the lowest RMSE. Therefore regression kriging method is useful to consider spatial variations of carbon stocks distribution in rugged terrain and complex forest stand.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.52-68
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• 2014

In this study, we investigated the seasonal variation of SST(Sea Surface Temperature) and thermal effluents estimated by using Landsat-7 ETM+ around the Kori Nuclear Power Plant for 10 years(2000~2010). Also, we analyzed the direction and range of thermal effluents dispersion by the tidal current and tide. The results are as follows, First, we figured out the algorithm to estimate SST through the linear regression analysis of Landsat DN(Digital Number) and NOAA SST. And then, the SST was verified by compared with the in situ measurement and NOAA SST. The determination coefficient is 0.97 and root mean square error is $1.05{\sim}1.24^{\circ}C$. Second, the SST distribution of Landsat-7 estimated by linear regression equation showed $12{\sim}13^{\circ}C$ in winter, $13{\sim}19^{\circ}C$ in spring, and $24{\sim}29^{\circ}C$ and $16{\sim}24^{\circ}C$ in summer and fall. The difference of between SST and thermal effluents temperature is $6{\sim}8^{\circ}C$ except for the summer season. The difference of SST is up to $2^{\circ}C$ in August. There is hardly any dispersion of thermal effluents in August. When it comes to the spread range of thermal effluents, the rise range of more than $1^{\circ}C$ in the sea surface temperature showed up to 7.56km from east to west and 8.43km from north to south. The maximum spread area was $11.65km^2$. It is expected that the findings of this study will be used as the foundational data for marine environment monitoring on the area around the nuclear power plant.

• Journal of dental hygiene science
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• v.14 no.4
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• pp.546-553
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• 2014

The purpose of this study was to investigate the actual condition of communication of dental hygienist in oral hygiene instruction during scaling. The research was intended for 67 dental hygienists who worked dental hospitals and clinics. Oral hygiene instruction during scaling was audiotaped. Pearson correlation analysis, t-test, one-way ANOVA, and chi-squared test were conducted. The results gained by the research were as follows. An analysis of 67 dental hygienists has found that 63 dental hygienists (94%) educated the patients with dentiform and 65 of them (97%) did rolling method. Thirty-three of them (49.3%) recommended oral care products to the patients. Only 14 of all educators (21%) said simple greetings and educated importance of care of subjects' teeth, side effect of scaling, when they finished all the scaling stage. The average time of oral hygiene education was 161.3 seconds. In detail, the dental hygienists told 155.0 seconds, the patients did 6.3 seconds on average. The percentage of education time without patients' comments and dialogue each other were 35.8% and 37.3% respectively. The conversation frequency according to the education level of dental hygienist showed significant difference (p<0.05). There was a negative correlation between total education time and patients coming for scaling per day and there was a positive correlation between total number of questions and patient talking time. The result of chi-squared test showed that there was significant difference on asking regards depending on setting a limitation of scaling time (p<0.05). The research showed that the dental hygienists seem to educate the patients mechanically, uniformly rather than educate them according to their oral hygiene condition.

• Journal of the Korean Geotechnical Society
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• v.28 no.5
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• pp.13-25
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• 2012

Ground anchor method is one of the most popular reinforcing technology for slope in Korea. For the health monitoring of slope which is reinforced by permanent anchor for a long period, monitoring of the tension force of ground anchor is very important. However, since electromechanical sensors such as strain gauge and V/W type load cell are also subject to long-term risk as well as suffering from noise during long distance transmission and immunity to electromagnetic interference (EMI), optical FBG sensors embedded tendon was developed to measure strain of 7-wire strand by embedding FBG sensor into the center king cable of 7-wire strand. This FBG sensors embedded tendon has been successfully applied to measuring the short-term anchor force. But to adopt this tendon to long-term monitoring, temperature compensation of the FBG sensors embedded tendon should be done. In this paper, we described how to compensate the effect in compliance with the change of underground temperature during long-term tension force monitoring of ground anchors by using optical fiber sensors (FBG: Fiber Bragg Grating). The model test was carried out to determine the temperature sensitivity coefficient (${\beta}^{\prime}$) of FBG sensors embedded tendon. The determined temperature sensitivity coefficient ${\beta}^{\prime}=2.0{\times}10^{-5}/^{\circ}C$ was verified by comparing the ground temperatures predicted from the proposed sensor using ${\beta}^{\prime}$ with ground temperatures measured from ground thermometer. Finally, temperature compensations were carried out based on ${\beta}^{\prime}$ value and ground temperature measurement from KMA for the tension force monitoring results of tension type and compression type anchors, which had been installed more than 1 year before at the test site. Temperature compensated tension forces are compared with those measured from conventional load cell during the same measuring time. Test results show that determined temperature sensitivity coefficient (${\beta}^{\prime}$) of FBG sensors embedded tendon is valid and proposed temperature compensation method is also appropriate from the fact that the temperature compensated tension forces are not dependent on the change of ground temperature and are consistent with the tension forces measured from the conventional load cell.

• Journal of Korean Home Economics Education Association
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• v.21 no.2
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• pp.139-158
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• 2009

The purposes of this study are to develop cyber home study program on consumer life for youth in middle school students and to compare the learning effect of this program with that of teacher's off-line lecture in class. The contents of the middle school Home Economics. Technology textbooks was analyzed. Based on this analysis 4 cyber home study lesson plans on youth's consumer life were developed. The topics of lesson plan were as 'youth and consumer behavior', 'utilizing consumer information'. 'effective consumer choice', 'resolving consumer problems'. The cyber home study were composed of 5 steps which were 'guiding' $\rightarrow$ 'learning activities' $\rightarrow$ 'evaluation' $\rightarrow$ 'further study' $\rightarrow$ 'summery'. The second grade middle school students as an experimental group participated in cyber home study through on-line class. The control group of students who had same condition with the experimental group were taught by home economics teacher using traditional instructional methods in off-line class. After the experiment, the changes in consumer's attitudes and knowledge of both groups were analyzed using Analysis of Covariance. The significant improvements of consumer's attitudes and knowledge were found in both the experimental and control groups of students. However, the consumer's attitudes and knowledge of the students who were taught by the teacher in off-line class improved more than those of the students who studied using cyber home study program in on-line class. Thus, the following conclusion is made that the cyber home study could be one of the useful learning methods to aid traditional off-line teaching in class.

• Journal of the Korean earth science society
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• v.36 no.6
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• pp.567-579
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• 2015

The accurate simulation of micro-scale weather phenomena such as fog using the mesoscale meteorological models is a very complex task. Especially, the uncertainty arisen from initial input data of the numerical models has a decisive effect on the accuracy of numerical models. The data assimilation is required to reduce the uncertainty of initial input data. In this study, the limitation of the mesoscale meteorological model was verified by WRF (Weather Research and Forecasting) model for a summer fog event around the Nakdong river in Korea. The sensitivity analyses of simulation accuracy from the numerical model were conducted using two different initial and boundary conditions: KLAPS (Korea Local Analysis and Prediction System) and LDAPS (Local Data Assimilation and Prediction System) data. In addition, the improvement of numerical model performance by FDDA (Four-Dimensional Data Assimilation) using the observational data from AWS (Automatic Weather System) was investigated. The result of sensitivity analysis showed that the accuracy of simulated air temperature, dew point temperature, and relative humidity with LDAPS data was higher than those of KLAPS, but the accuracy of the wind speed of LDAPS was lower than that of KLAPS. Significant difference was found in case of relative humidity where RMSE (Root Mean Square Error) for LDAPS and KLAPS was 15.7 and 35.6%, respectively. The RMSE for air temperature, wind speed, and relative humidity was improved by approximately $0.3^{\circ}C$, $0.2m\;s^{-1}$, and 2.2%, respectively after incorporating the FDDA.

• Journal of the Korean earth science society
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• v.32 no.6
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• pp.665-673
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• 2011

In order to estimate the hydrocarbon reserves, the porosity of the reservoir must be determined. The porosity of the area without a well is generally calculated by extrapolating the porosity logs measured at wells. However, if not only well logs but also seismic data exist on the same site, the more accurate pseudo porosity log can be obtained through artificial neural network technique by extracting the relations between the seismic data and well logs at the site. In this study, we have developed a module which creates pseudo porosity logs by using the polynomial neural network method. In order to obtain more accurate pseudo porosity logs, we selected the seismic attributes which have high correlation values in the correlation analysis between the seismic attributes and the porosity logs. Through the training procedure between selected seismic attributes and well logs, our module produces the correlation weights which can be used to generate the pseudo porosity log in the well free area. To verify the reliability and the applicability of the developed module, we have applied the module to the field data acquired from F3 Block in the North Sea and compared the results to those from the probabilistic neural network method in a commercial program. We could confirm the reliability of our module because both results showed similar trend. Moreover, since the pseudo porosity logs from polynomial neural network method are closer to the true porosity logs at the wells than those from probabilistic method, we concluded that the polynomial neural network method is effective for the data sets with insufficient wells such as F3 Block in the North Sea.