• Journal of Plant Biotechnology
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• v.48 no.2
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• pp.71-76
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• 2021

Angelica is a perennial plant used widely for medicinal purposes. Information on the genetic diversity of Angelica populations is important for their conservation and germplasm utilization. Although Angelica is an important medicinal plant genus registered in South Korea, no molecular markers are currently available to distinguish individual species from other similar species in different countries, in particular, China and Japan. In this study, we developed single nucleotide polymorphism (SNP) markers derived from internal transcribed spacer regions of the nuclear ribosomal DNA to identify a distinct domestic species, Angelica gigas Nakai, via a high-resolution melting (HRM) curve analyses. We also performed HRM curve analysis of intentionally mixed genomic DNA samples from five Angelica species. Finally, we investigated A. gigas Nakai and A. sinensis using varying ratios of mixed genomic DNA templates. The SNP markers developed in this study are useful for rapidly identifying A. gigas species from different countries.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.278-287
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• 2021

This study was conducted to analyze with a focus on gender whether the prevalence of hyperuricemia varies depending on sitting time and high-risk drinking by occupational group. For this study, the Korea National Health and Nutrition Examination Survey data were used, and 16,366 people were selected. The chi-square independence test and logistic regression model were used as the analysis method. The prevalence and risk of hyperuricemia by sitting time were different in the 'agricultural, forestry and fishery skilled workers' only in men. On the other hand, the prevalence with high-risk drinking, both men and women showed differences in 'managers, experts and related workers' and 'office worker'. Also, only women have differences in 'service and sales workers', 'technicians, equipment, machine operation and assembly workers' and 'unemployed'. These results inform men have a higher prevalence and risk of hyperuricemia and suggest that health care policies and medical services are needed to prevent it by occupational group.

• Journal of The Korean Society of Grassland and Forage Science
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• v.41 no.1
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• pp.56-61
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• 2021

This study was conducted to determine the possibility of estimating the daily mean temperature for a specific location based on the climatic data collected from the nearby Automated Synoptic Observing System (ASOS) and Automated Weather System(AWS) to improve the accuracy of the climate data in forage yield prediction model. To perform this study, the annual mean temperature and monthly mean temperature were checked for normality, correlation with location information (Longitude, Latitude, and Altitude) and multiple regression analysis, respectively. The altitude was found to have a continuous effect on the annual mean temperature and the monthly mean temperature, while the latitude was found to have an effect on the monthly mean temperature excluding June. Longitude affected monthly mean temperature in June, July, August, September, October, and November. Based on the above results and years of experience with climate-related research, the daily mean temperature estimation was determined to be possible using longitude, latitude, and altitude. In this study, it is possible to estimate the daily mean temperature using climate data from all over the country, but in order to improve the accuracy of daily mean temperature, climatic data needs to applied to each city and province.

• Journal of The Korean Society of Grassland and Forage Science
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• v.37 no.2
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• pp.145-153
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• 2017

This study was aimed to find yield prediction model of Italian ryegrass using climate big data and geographic information. After that, mapping the predicted yield results using Geographic Information System (GIS) as follows; First, forage data were collected; second, the climate information, which was matched with forage data according to year and location, was gathered from the Korean Metrology Administration (KMA) as big data; third, the climate layers used for GIS were constructed; fourth, the yield prediction equation was estimated for the climate layers. Finally, the prediction model was evaluated in aspect of fitness and accuracy. As a result, the fitness of the model ($R^2$) was between 27% to 95% in relation to cultivated locations. In Suwon (n=321), the model was; DMY = 158.63AGD -8.82AAT +169.09SGD - 8.03SAT +184.59SRD -13,352.24 (DMY: Dry Matter Yield, AGD: Autumnal Growing Days, SGD: Spring Growing Days, SAT: Spring Accumulated Temperature, SRD: Spring Rainfall Days). Furthermore, DMY was predicted as $9,790{\pm}120$ (kg/ha) for the mean DMY(9,790 kg/ha). During mapping, the yield of inland areas were relatively greater than that of coastal areas except of Jeju Island, furthermore, northeastern areas, which was mountainous, had lain no cultivations due to weak cold tolerance. In this study, even though the yield prediction modeling and mapping were only performed in several particular locations limited to the data situation as a startup research in the Republic of Korea.

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.4
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• pp.649-656
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• 2012

To obtain the basic information for agricultural utilization of germanium (Ge), the growth characteristics and Ge absorption in rice plant were investigated under different Ge concentrations by foliar spray application. The Ge concentrations were treated with 0 (control), 10, 20, 40 and $80mg\;L^{-1}$ in pot (1 5000$^{-1}$ a), respectively. The Ge absorption rate in rice by foliar spray application with $80mg\;L^{-1}$ in pot was higher in the order of leaf (5.75%) > stem (4.52%) > root (<0.01%). By foliar spray application, the Ge content in rice was higher in the order of $80mg\;L^{-1}$ > $40mg\;L^{-1}$ > $20mg\;L^{-1}$ > $10mg\;L^{-1}$. When rice was treated with $80mg\;L^{-1}$ of Ge, the Ge content in rice grain was higher in the order of rice bran ($0.21mg\;pot^{-1}$) $\gg$ brown rice ($0.04mg\;pot^{-1}$) ${\geq}$ polished rice ($0.03mg\;pot^{-1}$). By foliar spray application, the Ge uptake in rice bran was higher than that in other parts. Therefore, optimum Ge concentration by foliar spray application was $80mg\;L^{-1}$ in pot based on the results from the Ge treatments.

• Journal of agricultural medicine and community health
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• v.24 no.1
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• pp.49-63
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• 1999

The objective of the study was to examine and compare health behavior between rural area and urban area in Soonchun city. Data were collected through personal interviews from 25, April to 30, May in 1998. Questions were asked to the rural area residents(n=399) and urban area residents(n=149) about their health behaviors, including such as self-recognition of health status, health related behaviors(smoking, drinking, eating habit, and exercising), status of disease and prevention, and utilization of hospital. As we examine the demographic characteristics, rural area residents were more aged(p<0.001) than urban area residents. And the urban residents had higher education(p<0.01), higher income(p<0.01) and higher health care cost(p<0.01) than rural residents. There were difference in health status existed between rural and urban residents. Rural residents had poorer health status(p<0.01) than urban residents, and however urban residents had more anxiety about their health(p<0.01) than rural residents. Comparison of the health related behavior between rural and urban area residents, rural residents were more likely to smoke(p<0.05), less intake of milk(p<0.01), do not exercise(p<0.01), and less try to lose their weight(p<0.01) than urban residents. Rural resident used to suffer from chronic diseases than urban residents(p<0.01). Consideration of health care need for rural residents are required due to the results shown as above. Therefore, the health care center, where most of the rural residents depend on for their treatment and prevention of disease, should make inquiries about resident's health care need and evaluate the important information sources for construction of a health care information system.

• Journal of The Korean Society of Grassland and Forage Science
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• v.41 no.4
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• pp.287-294
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• 2021

The objective of this study was conducted to calculate the damage of whole crop maize in accordance with abnormal climate using the forage yield prediction model through machine learning. The forage yield prediction model was developed through 8 machine learning by processing after collecting whole crop maize and climate data, and the experimental area was selected as Gyeonggi-do. The forage yield prediction model was developed using the DeepCrossing (R²=0.5442, RMSE=0.1769) technique of the highest accuracy among machine learning techniques. The damage was calculated as the difference between the predicted dry matter yield of normal and abnormal climate. In normal climate, the predicted dry matter yield varies depending on the region, it was found in the range of 15,003~17,517 kg/ha. In abnormal temperature, precipitation, and wind speed, the predicted dry matter yield differed according to region and abnormal climate level, and ranged from 14,947 to 17,571, 14,986 to 17,525, and 14,920 to 17,557 kg/ha, respectively. In abnormal temperature, precipitation, and wind speed, the damage was in the range of -68 to 89 kg/ha, -17 to 17 kg/ha, and -112 to 121 kg/ha, respectively, which could not be judged as damage. In order to accurately calculate the damage of whole crop maize need to increase the number of abnormal climate data used in the forage yield prediction model.

• Journal of agricultural medicine and community health
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• v.42 no.4
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• pp.234-243
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• 2017

Objective: This study was aimed to evaluate the effectiveness of the diabetes education program implemented in a community hypertension and diabetes education center. Methods: Participants were thirty nine diabetic patients who received the education program in the center from May 2014 through May 2015. The education program consisted of two sessions for 2 days (45 minutes per session) regarding clinical information, nutrition and exercise for type 2 diabetes patients. Initially, they were assessed for general characteristics, knowledge on diabetes, self-efficacy and self-care behaviors. Reassessment was performed on their knowledge and self-efficacy directly after the program, and on self-care behaviors at 12 weeks after the program. Results: The mean score of diabetes knowledge was significantly increased from $5.27{\pm}2.10$ to $8.21{\pm}1.20$ (p<0.001) between before and after the program. The self-efficacy score was also significantly increased from $6.88{\pm}1.72$ to $8.16{\pm}1.47$ (p<0.001). The self-care behavior score was significantly increased from $3.59{\pm}1.89$ before the program to $4.35{\pm}1.29$ (p<0.001) at 12 weeks after the program. Conclusion: The diabetes education program may be effective on the improvement of knowledge, self-efficacy and self-care behaviors in type 2 diabetic patients.

• Korean journal of applied entomology
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• v.48 no.2
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• pp.123-158
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• 2009

An attempt was made to stimulate future research by providing exemplary information, which would integrate published knowledge to solve specific pest problem caused by resistance. This review was directed to find a way for delaying resistance development with consideration of chemical(s) nature, of mixture, rotation, or mosaics, and of insecticide(s) compatible with the biological agents in integrated pest management (IPM). The application frequency, related to the resistance development, was influenced by insecticide activity from potentiation, residual period, and the vulnerability to resistance development of chemical, with secondary pest. Chemical affected feeding, locomotion, flight, mating, and predator avoidance. Insecticides with negative cross-resistance by the difference of target sites and mode of action would be adapted to mixture, rotation and mosaic. Mixtures for delaying resistance depend on each component killing very high percentage of the insects, considering allele dominance, cross-resistance, and immigration and fitness disadvantage. Potential disadvantages associated with mixtures include disruption of biological control, resistance in secondary pests, selecting very resistant population, and extending cross-resistance range. The rotation would use insecticides in high and low doses, or with different metabolic mechanisms. Mosaic apply insecticides to the different sectors of a grid for highly mobile insects, spray unrelated insecticides to sedentary aphids in different areas, or mix plots of insecticide-treated and untreated rows. On the evolution of pest resistance, selectivity and resistance of parasitoids and predator decreased the number of generations in which pesticide treatment is required and they could be complementary to refuges from pesticides To enhance the viability of parasitoids, the terms on the insecticides selectivity and factors affecting to the selectivity in field were examined. For establishment of resistant parasitoid, migration, survivorship, refuge, alternative pesticides were considered. To use parasitoids under the pressure of pesticides, resistant or tolerant parasitoids were tested, collected, and/or selected. A parasitoid parasitized more successfully in the susceptible host than the resistant. Factors affecting to selective toxicity of predator are mixing mineral oil, application method, insecticide contaminated prey, trait of individual insecticide, sub-lethal doses, and the developmental stage of predators. To improve the predator/prey ratio in field, application time, method, and formulation of pesticide, reducing dose rate, using mulches and weeds, multicropping and managing of surroundings are suggested. Plant resistance, predator activity, selective insect growth regulator, and alternative prey positively contributed to the increase of the ratio. Using selective insecticides or insecticide resistant predator controlled its phytophagous prey mites, kept them below an economic level, increased yield, and reduced the spray number and fruits damaged.

• Journal of agricultural medicine and community health
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• v.37 no.2
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• pp.84-95
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• 2012

Background: In Korea, private health insurance has neglected to induce externality on national health insurance by moral hazard. Therefore, we conducted this study in order to explore the influence of private health insurance on unnecessary medical utilization among patients with cervical or lumbar sprain. Method: The study examined a population of 449 patients (admission, 384; out-patient; 85) diagnosed with simple cervical or lumbar sprain without neurological symptoms at 20 small hospitals or clinics in Gwangju and Jeollanam provinces from Jul. 1 to Aug. 31 2008. The data were collected using structured, self-administrated questionnaire which collected information such as whether or not the patient was admitted (as a dependent variable), whether or not they had private health insurance (as a independent variable), and covariates such as socio-demographic characteristics, the factors related to the sprain, and characteristics of the insurance provider. Results: From hierarchical multiple logistic regression analysis, it was found that the admission rate of patient with private health insurance was higher than that those without it (Odds ratio=3.31, 95% Confidence interval; 1.14-9.58), meaning that private health insurance was an independent factor influencing the admission of patients with these conditions. Other determinants of admission were patient age and physician referral. Conclusions: This study is the first empirical study to explore the influence of private health insurance on inducing moral hazard in admission services, specifically among patients with cervical or lumbar sprain. Regulation of benefits provided by private health insurance may be necessary, as the effect of this moral hazard may mean existence of externality.