• Journal of dental hygiene science
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• v.15 no.6
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• pp.786-793
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• 2015

The purpose of this study to find out factors that affect intention of career discontinuity among dental hygienists. The data was collected from 300 dental hygienists working at dental clinics. The total of 281 copies were used for analysis. Statistical analysis was performed using PASW Statistics 18.0 at the 5% significance level. T-test, ANOVA, factor analysis, reliability analysis, correlation analysis, hierarchical regression analyses were applied in this analysis. The results were as follows: 1. As for intention of career discontinuity by general characteristics, there were statistically significant difference according to age, duration of employment, children, children age and monthly income (p<0.05). 2. As for intention of career discontinuity by job awareness, there were statistically significant difference according to turnover, work-life, retirement age of dental hygienist, duration of job maintenance and re-employment of dental hygienist (p<0.05). 3. As for hierarchical regression analysis of the factors affecting the intention of career discontinuity, the support from employer had most significant influence on intention of career discontinuity (p<0.05). In order to decrease the career discontinuity among dental hygienists, plans that can increase the work-environment should be implemented by improving support from employer.

• Korea journal of population studies
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• v.26 no.2
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• pp.197-219
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• 2003

Using the panel data from the National Longitudinal Survey of Youth 79, we test the effects of relative status inconsistency within American young couples on the direction of migration as well as on migration propensities. Key findings in this study indicate that only couples in which the wife's education is greater than the husband's education are less likely to migrate than couples for which the wife's status is as lower than the husband's. There are no differences in the propensity for rural couples to migrate to urban counties or for urban couples to migrate to rural counties based on status inconsistency between spouses. However, we find that there is the gendered difference in the effect of status inconsistency on the probability of family migration. A spouse's higher status has an impact on a wife's probability of migration but does not affect a husband's migration propensity in a comparable situation. These findings are most consistent with a gender role perspective on migration since increases in the wife's status have little effect on family migration, once the presence and age of children is controlled.

• Journal of dental hygiene science
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• v.15 no.1
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• pp.67-76
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• 2015

This study aims to determine the factors affecting the dental service utilization of adults. The subjects in this study were 455 adults, whom a survey was conducted form May 7 to June 7, 2013. Statistical verification conducted through PASW Statistics was 18.0. The difference in the distribution of independent variables related with the dental service utilization was verified with chi-square test. Relevant factors were determined using Hierarchical logistic regression analysis. Model I is predisposing factor, Model II is predisposing factor and enabling factor. Model III is predisposing, enabling, need factor. Andersen model factor which infuences dental service utilization of adults resulted that use dental floss (OR, 2.32; CI, 1.39~3.86), use electric toothbrush (OR, 2.98; CI, 1.0~8.89), use interdental brush (OR, 2.55; CI, 1.36~4.78), self-efficacy (OR, 0.68; CI, 0.48~0.96), barriers (OR, 1.45; CI, 1.04~2.04). Predisposing factor and need factor were found to be determinants for dental service utilization in adult.

• Journal of dental hygiene science
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• v.15 no.3
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• pp.287-294
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• 2015

The aim of the study was to investigate the affecting factors on National Health Insurance coverage dental scaling experience. The self-reported survey for the adults living in Seoul, Gyeonggi province and Incheon had been progressed from February 10, 2014, to February 28, 2014, after receiving informed consents. And the 238 survey results had been analysed as the data of this study. The data analysis such as frequency analysis, ${\chi}^2$-test, and multi-logistic regression (p<0.05) for all collected survey data had been processed using IBM SPSS Statistics ver. 20.0. According to multiple logistic regression analysis, regular dental check-up (odds ratio [OR], 2.63; confidence interval [CI], 1.05~6.59) and dental scaling experience (OR, 3.06; CI, 1.09~8.54), monthly income (OR, 3.55; CI, 1.01~12.56) were the factors having statistically significant influence. Therefore, in order to increase of National health insurance dental scaling experience, it is necessary to increase awareness of the new dental scaling system through the promotion and oral health education about national health insurance dental scaling, and to emphasize the importance of dental Scaling by regular dental check-up.

• Journal of dental hygiene science
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• v.16 no.5
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• pp.361-369
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• 2016

Oral health can influence on diverse food intake, and food intake affect oral health related quality of life. The aim of this study was to select key foods to be able to represent oral health related quality of life in Korea. We used the data of 503 Korean older persons to participate in the oral health promotion programme in 2009. The low consumption or low intake foods with criteria in 2012 National Nutrition Statistics were eliminated among 30 foods of food intake ability (FIA) at first. Decision tree model, correlation analysis, factor analysis, and internal reliablity test were used for oral health related quailty of life (OHRQoL) key food selection. We selected 13 foods-hard persimmon, dried peanut, pickled radish, caramel, rib of pork, glutinous rice cake, cabbage kimchi, apple, yellow melon, boiled chicken meat, boiled fish, mandarin, noodles as OHRQoL Key Foods 13. Thirty foods of FIA and OHRQoL Key Foods 13 displayed the same pattern of variation among sociodemographic groups. In a regression model, both of 30 foods of FIA and OHRQoL Key Foods 13 influenced on oral health impact profile-14. The findings suggest that OHRQoL Key Foods 13 have good reliability and validity and be able to use in oral health survey.

• Korean Journal of Veterinary Research
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• v.45 no.2
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• pp.303-309
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• 2005

Olive flounder (Paralichthys olivaceus) is the major mariculture fish in Korea. The annual aquaculture production of olive flounder in Korea during the period of 2003 was 300,000 ton (2002 Statistics, Ministry of Maritime Affairs & Fisheries, Korea Government). Anesthetics is very necessary in aquaculture to minimize stress and damage during harvesting, grading, transportation, spawning induction and handling to fish. In the present study, isoeugenol as new anesthetic in marine fish, especially olive flounder, was examined to know the efficacy and proper concentration. As a result, olive flounder adult was exhibited sedation at 5 ppm at 10 and $15^{\circ}C$, and 7.5 ppm at $20^{\circ}C$, respectively. Anesthesia was required at least 10, 7.5 and 10 ppm at $10^{\circ}C$, $15^{\circ}C$ and at $20^{\circ}C$, respectively. In case of fry, the effect of sedation was observed from 2.5 ppm at $10^{\circ}C$ and 5 ppm at 15 and $20^{\circ}C$, respectively. Anesthesia was observed from 2.5 ppm at $10^{\circ}C$, 5 ppm at 15 and $20^{\circ}C$, respectively. In acute toxicity test, it was impossible to explore $LD_{50}$ with the concentration of isoeugenol adult at $15^{\circ}C$ used, but over immersion volume of 15 ppm at $15^{\circ}C$ was observed mortality in fry. Based on the present study, isoeugenol was identified as a safe and active anesthetic to olive flounder.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.303-324
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• 2020

This study investigates the credibility judgements of information by tweens using digital media and information. Particularly, the study focused on tweens' perception of internet research and information use and on their credibility judgement of source and message, internet service providers, and on consulting with others for their credibility judgement. The survey methodology was used to collect data from grade 5 and 6 students in two elementary schools whose parents are likely in middle and upper class. 336 valid questionnaires were collected among 400. Descriptive statistics, factor analysis, and t-test were used to analyze the data collected using SPSS 25. Findings suggested that tweens understood the importance of using smart media and computers, that they used Youtube, Naver, Kakao talk, Naver JisikIN much in sequence, and that they believed the Internet research was easy and fun. Using exploratory factor analysis, the survey questions for credibility judgement were classified into three factors: Internet service providers, sources and information, and consulting with others. Tweens used sources and information credibility, consulting with others credibility, Internet service providers credibility in sequence. However, it was interesting to find that there were greater deviation in answers on knowing how to find out the cognitive authority of the authors and on the importance of using current information. This study suggests the critical need for tweens' credibility judgement research for promoting critical thinking skills as well as for proactive educational practices in schools and libraries on information literacy.

• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.6
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• pp.173-183
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• 2015

The aim of this study was to develop a soil moisture simulation model equipped with meteorological data enhanced by WRF (Weather Research and Forecast) model, and this soil moisture model was applied for quantifying soil moisture content and irrigation requirement. The WRF model can provide grid based meteorological data at various resolutions. For applicability assessment, comparative analyses were conducted using WRF data and weather data obtained from weather station located close to test bed. Water balance of each upland grid was assessed for soils represented with four layers. The soil moisture contents simulated using the soil moisture model were compared with observed data to evaluate the capacity of the model qualitatively and quantitatively with performance statistics such as correlation coefficient (R), coefficient of determination (R2) and root mean squared error (RMSE). As a result, R is 0.76, $R^2$ is 0.58 and RMSE 5.45 mm in soil layer 1 and R 0.61, $R^2$ 0.37 and RMSE 6.73 mm in soil layer 2 and R 0.52, $R^2$ 0.27 and RMSE 8.64 mm in soil layer 3 and R 0.68, $R^2$ 0.45 and RMSE 5.29 mm in soil layer 4. The estimated soil moisture contents and irrigation requirements of each soil layer showed spatiotemporally varied distributions depending on weather and soil texture data incorporated. The estimated soil moisture contents using weather station data showed uniform distribution about all grids. However the estimated soil moisture contents from WRF data showed spatially varied distribution. Also, the estimated irrigation requirements applied WRF data showed spatial variabilities reflecting regional differences of weather conditions.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.1
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• pp.21-30
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• 2018

In this study, we developed the Soil Moisture Data Assimilation (SMDA) scheme to extract Effective Soil Characteristics-ESC (Sand, Silt, Clay %) from MODerate resolution Imaging Spectroradiometer (MODIS) products. The SMDA scheme was applied to the MODIS-based Soil Moisture (SM) data during the summer (July to September) period. Then the ESC and soil erosion factors (K) were predicted, respectively. Several numerical experiments were conducted to test the performance of SMDA at the study sites under the synthetic and field validation conditions. In the synthetic experiment, the estimated soil moistures values(R: >0.990 and RMSE: <0.005) were identified well with the synthetic observations. The field validation results at the Bangdongri and Chungmicheon sites were also comparable to the TDR-based measurements with the statistics (R: 0.772/0.000 and RMSE: 0.065/0.000). The estimated ESC values were also matched well with the measurements for the synthetic and field validation conditions. Then we tested the SMDA scheme to extract the ESC from the MODIS-based soil moisture products. Although uncertainties exist in the results, the estimated soil moisture and ESC based on the SMDA were comparable to the measurements. Overall, the K factors were similarly distributed based on the derived ESC. Also, the K factors in the mountainous regions were higher than those of the relatively flat areas. Thus, the newly developed SMDA scheme can be useful to estimate spatially and temporally-distributed soil erosion and establish soil erosion management plans.

• Korean Journal of Agricultural and Forest Meteorology
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• v.1 no.1
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• pp.12-19
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• 1999

CERES-rice, a rice growth simulation model, was used in conjunction with daily weather data to figure out the spatial variation of the phenology and yields of paddy rice at 168 rice cultivation zone units(CZU) of Kyunggi Province in 1997. Two sets of cultivar specific coefficients, which represent early and mid-season maturing varieties, were derived from field experiments conducted at two crop experiment stations. The minimum data set to run the model for each CZU (daily maximum and minimum temperature, solar irradiance, and rainfall) was obtained by spatial averaging of existing 'Digital Map of Korean Climate'(Shin et al., 1999). Soil characteristics and management information at each CZU were available from the Rural Development Administration. According to a preliminary test using 5 to 9 years field data, trends of the phasic development(heading and physiological maturity), which were obtained from the model adjusted for these coefficients, were in good agreement with the observed data. However, the simulated inter-annual variation was somewhat greater than the reported variation. Rough rice yields of the early maturing cultivar calculated by the model were comparable with the reported data in terms of both absolute value and inter -annual variation. But those of the mid season cultivar showed overestimation. After running the simulation model runs with 1997 weather data for 168 CZU's, rough rice yields of the 168 CZU's calculated by the model were aggregated into corresponding 33 counties by acreage-weighting to facilitate direct comparison with the reported statistics from the Ministry of Agriculture and Forestry. The simulation results were good at 22 out of the 26 counties with reportedly increasing yield trend with respect to the past 9 years average.