• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.798-806
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• 2020

Dental sealant is a procedure to prevent dental caries on the occlusal surface of healthy teeth. Raw data from the 6th-7th Korean National Health and Nutritional Examination Survey (KNHANES) were analyzed. This study was conducted to provide basic data which is necessary for the national health care project and for expanding the standards of coverage for the Dental sealant procedure. In this study, subjects were a total of 4,366 children from the age of 6 to 18 and surveyed for the Amount of Received Dental sealant and rate of Received Dental sealant. In 2012, the coverage rate for pit and fissure sealing procedures differed significantly in terms of age, residential area and average monthly income. This coverage varied as per average monthly income in 2014 and as per age and average monthly income in 2017 (P < 0.05). In 2014, average monthly income had a significant influence on the coverage rate, while age and average monthly income had a significant influence on it in 2017 (P < 0.05). These findings suggest that in order to increase the sealing procedure coverage, continuous promotion of dental sealant projects, reduction of copayments, inclusion of varied tooth types and age groups, expansion of coverage to isolated areas and inclusion of socially disadvantaged groups are necessary.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.27 no.3
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• pp.193-201
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• 2021

Patents for postharvest technology of fresh fruits, vegetables and mushrooms fluctuated in their filing number until the 2000s, but then there has been a steady increase in the 2010s, indicating that the technology has high growth potential in the international agricultural market. Using 551 valid patents for fresh fruits and 337 for fresh vegetables of 5 countries, patent trend of postharvest technology was analyzed in this study with two categorized technologies as packaging and storage. In Korea, patents from national research institutes such as the Korea Food Research Institute and Korea (Rural Development Administration) are dominated, and a number of patents for the postharvest storage of fresh vegetables by Mitsui Chemicals, a Japanese chemical company, have been registered. Agrofresh, a multinational company in the USA, holds a number of patents for postharvest storage of fresh fruit not only in its own country, but also in Japan and Europe. Postharvest technology of fresh fruits and vegetables was found to has a number of patents, mainly from national research institutes and multinational corporations, and this suggests that R&D and commercialization of the technologies are actively taking place.

• Journal of agricultural medicine and community health
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• v.35 no.2
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• pp.111-123
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• 2010

Objectives: The purpose of the present study is to examine the effects of the Field Management Training Program for home care services personnel on their understanding and professional competences. Methods: The subjects were 373 team managers of public home care services who participated in the training program. Data was collected with a self-administered questionnaire in April and September, 2007. The subjects' level of understanding of home care was measured by 35 questions divided into 8 categories while their professional competence was measured by 15 questions divided into 5 categories. Result: After attending the training, the subjects' understanding improved from 20.90 points (possible range: 4~32) to 26.11 points. The most improvement was evident in the Planning and Public Health Education categories. Their professional competences improved from 10.81 points (possible range: 4~16) to 12.51 points. The improvement of their understanding and professional competences differed across to training places. It was also evident that an increase in understanding brought about an increase in professional competence. Conclusion: The Field Management Training Program needs to be continued with efforts to reduce the differences of training effects between training places. And additional recommendations should be made through further evaluation of subsequent training programs.

• Journal of Food Hygiene and Safety
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• v.30 no.3
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• pp.236-241
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• 2015

This study was performed to survey and evaluate the contents of pH, total acidity, caffeine, harmful metals (Pb, Cd) and total polyphenol in coffee extraction. In total, coffee bean. Total fifty coffee samples were analysed. A 5 g portion of roasted ground coffee samples were extracted in coffee-maker with 100 mL of distilled water and the extraction were used in all experiments. The pH range was 4.72~5.25 (mean value = 4.99). According to increase of the roasting temperature, the pH were shown a tendency to increase. The contents of total acidity was 0.72~2.25% (mean value = 1.59%). According to increase of the roasting temperature, the contents of total acidity were shown a tendency to decrease. The contents of harmful metals (Pb, Cd) in coffee extractions were determined by ICP. The average contents of Pb and Cd were 0.0112 and 0.0011 mg/kg, respectively. The contents of caffeine in coffee extractions were determined by HPLC, the range of detection was 0.51~20.28 mg/mL (mean value = 12.29 mg/mL). According to increase of the roasting temperature, the contents of caffeine were shown a tendency to increase. The contents of total polyphenol in coffee extractions were determined by spectrophotometer, the range of detection was 18.88~43.90 mg/mL (mean value = 31.94 mg/mL). According to increase of the roasting temperature, the contents of total polypenol were shown a tendency to decrease.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.34 no.4
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• pp.57-65
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• 2016

Maeul-soop(Village forest) is a key element of Korean traditional village landscape historically and culturally. However, a number of Maeul-soops have been lost or declined due to various influences since the modern age. For this Maeul-soop that has a variety of conservation values including historical, cultural and ecological ones, attention and efforts for a systematic conservation and restoration of Maeul-soop are needed. The purpose of the present study is to provide information on ecological restoration and sustainable use and management of Maeul-soops based on component plant species, habitat and location characteristics of 499 Maeul-soops spread throughout Korea. Major six categories of threat factors to Maeul-soop ecosystem were identified and the influence of each factor was evaluated. For the evaluation of weight by threat factors for the influence on the vulnerability of Maeul-soop ecosystem, more three-dimensional analysis was conducted using Analytic Hierarchy Process (AHP) analysis method. In the results of evaluation using AHP analysis method, reduction of area, among six categories, was spotted as the biggest threat to existence of Maeul-soops. Next, changes in topography and soil environment were considered as a threat factor of qualitative changes in Maeul-soop ecosystem. Influence of vegetation structure and its qualitative changes on the loss or decline of Masul-soop was evaluated to be lower than that of changes in habitat. Based on weight of each factor, the figures were converted with 100 points being the highest score and the evaluation of vulnerability of Maeul-soop was conducted with the converted figures. In the result of evaluation of vulnerability of Maeul-soops, grade III showed the highest frequency and a normal distribution was formed from low grade to high grade. 38 Maeul-soops were evaluated as grade I which showed high naturality and 10 Maeul-soops were evaluated as grade V as their maintenance was threatened. Also in the results of evaluation of vulnerability of each Maeul-soop, restoration of Maeul-soop's own area was found as top priority to guarantee the sustainability of Maeul-soops. It was confirmed that there was a need to prepare a national level ecological response strategy for each vulnerability factor of Maeul-soop, which was important national ecological resources.

• Journal of Climate Change Research
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• v.2 no.1
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• pp.55-68
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• 2011

The Intergovernmental Panel on Climate Change(IPCC) has identified the causes of climate change and come up with measures to address it at the global level. Its key component of the work involves developing and assessing future climate change scenarios. The IPCC Expert Meeting in September 2007 identified a new greenhouse gas concentration scenario "Representative Concentration Pathway(RCP)" and established the framework and development schedules for Climate Modeling (CM), Integrated Assessment Modeling(IAM), Impact Adaptation Vulnerability(IAV) community for the fifth IPCC Assessment Reports while 130 researchers and users took part in. The CM community at the IPCC Expert Meeting in September 2008, agreed on a new set of coordinated climate model experiments, the phase five of the Coupled Model Intercomparison Project(CMIP5), which consists of more than 30 standardized experiment protocols for the shortterm and long-term time scales, in order to enhance understanding on climate change for the IPCC AR5 and to develop climate change scenarios and to address major issues raised at the IPCC AR4. Since early 2009, fourteen countries including the Korea have been carrying out CMIP5-related projects. Withe increasing interest on climate change, in 2009 the COdinated Regional Downscaling EXperiment(CORDEX) has been launched to generate regional and local level information on climate change. The National Institute of Meteorological Research(NIMR) under the Korea Meteorological Administration (KMA) has contributed to the IPCC AR4 by developing climate change scenarios based on IPCC SRES using ECHO-G and embarked on crafting national scenarios for climate change as well as RCP-based global ones by engaging in international projects such as CMIP5 and CORDEX. NIMR/KMA will make a contribution to drawing the IPCC AR5 and will develop national climate change scenarios reflecting geographical factors, local climate characteristics and user needs and provide them to national IAV and IAM communites to assess future regional climate impacts and take action.

• Neonatal Medicine
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• v.18 no.1
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• pp.70-75
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• 2011

Purpose: Recently, the incidence of preterm and low birth weight infants (LBWI) is increasing, even though the birth rate is continuously low in Korea. Despite that change, there continues to be a deficit of beds in the neonatal intensive care unit (NICU). This study is based on the 2009 Korean Statistical Information Service that examined the development of a Korean NICU service and the survival rate of preterm infants by regionally analyzing the rate of total live births, preterm infants, LBWI, and NICU beds in Korea. Methods: Data were obtained from the Korean Health Insurance Review and Assessment Service and Korean Statistical Information Service. We confirmed the regional total live birth rate, number of LBWI, and preterm infants and NICU numbers, and all of the results were compared to the average value to determine deficient areas of NICU beds. Results: There were 25,374 (5.7%) preterm infants and 21,954 (4.9%) LBWI in the total number of live births (444,849) in 2009, and regions of high proportion compared to the mean value were Busan, Daegu, and Ulsan. Total NICU beds totaled 1,284, and regions of high rates preterm infants and LBWI per 1 NICU bed compared to the mean value were Incheon, Daegu, Ulsan, etc. The NICU holding rate was 87.5% (1,284/1,468), which was increased from 2005. However, there were still shortages of 184 NICU beds (12.5%), especially in Gyeonggi-do, which lacked 157 beds. Conclusion: High risk neonates difficult to transfer, and they need immediate and continuous treatment. As a result, a foundation of well-balanced, national NICU regionalization is necessary. This study suggested that more NICU facilities must be implemented, and clinicians should realize the continuing deficiency of NICU beds in cities and provinces.

• Korean Journal of Agricultural and Forest Meteorology
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• v.18 no.4
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• pp.199-207
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• 2016

This study was conducted to develop a forest fire occurrence model using meteorological characteristics for practical forecasting of forest fire danger rate by reflecting the climate change for the time period of 2000yrs. Forest fire in South Korea is highly influenced by humidity, wind speed, temperature, and precipitation. To effectively forecast forest fire occurrence, we developed a forest fire danger rating model using weather factors associated with forest fire in 2000yrs. Forest fire occurrence patterns were investigated statistically to develop a forest fire danger rating index using times series weather data sets collected from 76 meteorological observation centers. The data sets were used for 11 years from 2000 to 2010. Development of the national forest fire occurrence probability model used a logistic regression analysis with forest fire occurrence data and meteorological variables. Nine probability models for individual nine provinces including Jeju Island have been developed. The results of the statistical analysis show that the logistic models (p<0.05) strongly depends on the effective and relative humidity, temperature, wind speed, and rainfall. The results of verification showed that the probability of randomly selected fires ranges from 0.687 to 0.981, which represent a relatively high accuracy of the developed model. These findings may be beneficial to the policy makers in South Korea for the prevention of forest fires.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.275-290
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• 2021

Sulfur dioxide (SO2) in the atmosphere is mainly generated from anthropogenic emission sources. It forms ultra-fine particulate matter through chemical reaction and has harmful effect on both the environment and human health. In particular, ground-level SO2 concentrations are closely related to human activities. Satellite observations such as TROPOMI (TROPOspheric Monitoring Instrument)-derived column density data can provide spatially continuous monitoring of ground-level SO2 concentrations. This study aims to propose a 2-step residual corrected model to estimate ground-level SO2 concentrations through the synergistic use of satellite data and numerical model output. Random forest machine learning was adopted in the 2-step residual corrected model. The proposed model was evaluated through three cross-validations (i.e., random, spatial and temporal). The results showed that the model produced slopes of 1.14-1.25, R values of 0.55-0.65, and relative root-mean-square-error of 58-63%, which were improved by 10% for slopes and 3% for R and rRMSE when compared to the model without residual correction. The model performance by country was slightly reduced in Japan, often resulting in overestimation, where the sample size was small, and the concentration level was relatively low. The spatial and temporal distributions of SO2 produced by the model agreed with those of the in-situ measurements, especially over Yangtze River Delta in China and Seoul Metropolitan Area in South Korea, which are highly dependent on the characteristics of anthropogenic emission sources. The model proposed in this study can be used for long-term monitoring of ground-level SO2 concentrations on both the spatial and temporal domains.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.17 no.2
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• pp.45-58
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• 2012

For the development of reference values and evaluation of water quality in various environmental conditions, we divided the coastal region around Korean peninsular into 5 distinctive ecological regions based on the influence of surface current, depth, tidal range, turbidity, and climate condition. We used national marine environment monitoring data collected by National Fisheries Research & Development Institute(NFRDI) from 2000-2009. For the reference values, we used maximum seasonal mean from 2000 to 2007 for DIN, DIP, and chlorophyll-a and minimum seasonal mean for secchi depth measured at stations without the influence of river runoff in each ecological regions. For the reference value of bottom dissolved oxygen saturation, we used minimum mean value of 90% calculated from minimal riverine influence stations of whole regions. We calculated enrichment score for each assessment criteria. The enrichment score of DIN, DIP, and Chlorophyll-a was 1 (=< reference value), 2 (< 110% of reference value), 3 (< 125% of reference value), 4 (< 150% of reference value), and 5 (> 150% of reference value). The enrichment score of DO saturation and Secchi depth was 1 (> reference value), 2 (> 90% of reference value), 3 (>75 % of reference value), 4 (> 50% of reference value), and 5 (< 50% of reference value). We calculated water quality index using weighted linear combination of five enrichment score for the comparison of whole regions. From the water quality index distribution calculated from all stations between 2000 and 2007 period, we classified into 5 grade based on the standard deviation calculated from total water quality index. We assigned grade very good(I), good(II), moderate(III), bad(IV), and very bad(V) when the water quality index was less than 23, minimum + 1 sd, +2 sd, +3 sd, and grater than minium+ 3 sd, respectively.