• Journal of The Korean Society of Emergency Medicine
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• v.29 no.6
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• pp.679-686
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• 2018

Objective: The aim of this study was to identify the clinical characteristics and risk factors associated with the admission of patients in the emergency department (ED) within 30 days after discharge. Methods: A retrospective, observational study was conducted on adult patients presenting with abdominal pain to the ED of a single, urban, university hospital, between January 2014 and December 2015, who revisited the ED within 30 days after discharge. Data was collected on the emergency severity index level, time to contact doctors, physical examination, laboratory tests, use of computed tomography (CT), and patient disposition on revisitation. The primary outcome was hospital admission following an ED revisit in the 30-day period after the first visit. Results: During the study period, 19,480 patients visited the ED with the chief complaint of abdominal pain, and 13,577 were discharged. A total of 251 patients (1.29%) revisited the ED within 30 days, of which 89 were eligible for the study. The primary outcome was associated with not performing a CT scan on the initial visit and an increased C-reactive protein (CRP) value. Receiver operating characteristic curve analysis showed that a cut-off baseline CRP value of >0.35 mg/dL can predict the primary outcome with a sensitivity and specificity of 75% and 62.1%, respectively (area under the curve, 0.701; 95% confidence interval, 0.569-0.833; P=0.007). Conclusion: An increased CRP value and not performing abdominal CT were associated with a higher rate of admission following ED revisits of patients with abdominal pain. Future prospective studies on the role of abdominal CT imaging in patients presenting to the ED with abdominal pain will be needed.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.274-285
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• 2021

Nowadays, cities are developing rapidly, and the development of old and new towns are not balanced. The decline of old towns has promoted the development of new towns, leading to serious decline of old towns, population loss, and environmental degradation. This research hopes to alleviate the decline of the old town, try to find a balance between the old and the new towns, and use the development concept of "symbiosis" to develop the old and new towns together. The new and old towns will develop together, so that the old towns will be rejuvenated. Research method is to conduct preliminary research and theoretical investigation on the two parts of "symbiosis" and community space, sort out the space composition and characteristic elements, propose the concept of symbiosis community, and conduct case analysis. Since 2016, China has implemented the 'Symbiosis Institute' renewal project in Beijing. It selected the case of the post-2016 alley community in Dongcheng and Xicheng District, Beijing for analysis, and conducted a questionnaire survey to finally obtain the results of the analysis. According to the choice of spatial composition and characteristics in each case, and at the same time refer to the results of the questionnaire, sort out the results of importance. In the future design, we hope to use the above design strategy as a reference to realize the city's "symbiotic" development.

• (The) Research of the performance art and culture
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• no.35
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• pp.203-227
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• 2017

In this thesis, I examined the characteristics of modernism in this work, focusing on the melodrama "Sarang ye soggo donye wulgo(means 'Crying in Love and Crying for Money')", which was popular in the 30s when the consciousness of modernity was overflowing. There has never been an example of a connection between modernism and drama in the 1930s. The characteristic of modernism is clearly embedded in the representative drama of "Sarang ye soggo donye wulgo(means 'Crying in Love and Crying for Money')" at that time. In the title "Sarang ye soggo donye wulgo(means 'Crying in Love and Crying for Money')". 'Don' reveals modern elements. 'Love' can be seen as revealing melodramatic elements. The flair of modern art, which is a background to reveal modern elements, is spread throughout the works. Hongdo fails to complete the relationship with his family, as well as with the couple. It became a person who accepted the modernistic phenomenon by showing the domination of matter. While the typical method of constructing conflicts in the pre-modern narrative works is horizontal and sequential, it can be said that it was in the form of a train station, while the post-modern era of narrative conflict formation from the 30s forms a plurality of conflicts simultaneously, can do. The fear of the ordinary people who see the reality that urban and western values are already rampant by attempting new contents that lead the change of values in "Sarang ye soggo donye wulgo(means 'Crying in Love and Crying for Money')" became a factor to transfer into internal conflict again.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.1
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• pp.53-68
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• 2021

The study aims to propose a locating method of green space for reducing Particulate Matter (PM) in ambient air in conjunction with its source traces and vulnerable groups. In order to carry out the aims and purposes, a literature review was conducted to derive indicators of vulnerable area to PM. Based on the developed indicators, the vulnerable areas and green spaces creation strategies for each cluster were developed for the case of Seongdong-gu, Seoul. As a result, six indicators for vulnerability analysis were came out including the vulnerable groups (children's facilities, old people's facilities), emission sources (air pollutant emission workplaces, roads), and environmental indicators (particulate matter concentration, NDVI). According to the six selected indicators, the target area was divided into 39 hexagons and analyzed to result the most vulnerable areas to particulate matter. As a result of comprehensive vulnerability analysis, the Seongsu-dong area was found to be the most vulnerable to particulate matter, and 5 clusters were derived through k-means cluster analysis. Cluster 1 was analyzed as areas that most vulnerable to particulate matter as a result of the comprehensive analysis, therefore urgent need to create green spaces to reduce particulate matter. Cluster 2 was areas that mostly belonged to the Han River. Cluster 3 corresponds to the largest number of hexagons, and since many vulnerable groups are distributed, it was analyzed as a cluster that required the creation of a green spaces to reduce particulate matter, focusing on facilities for vulnerable groups. Three hexagons are included in cluster 4, and the cluster has many roads and lacks vegetation in common. Cluster 5 has a lot of green spaces and is generally distributed with fewer vulnerable groups and emission sources; however, it has a high level of particulate matter concentration. In a situation where various green spaces creation projects for reducing particulate are being implemented, it is necessary to consider the vulnerable groups and emission sources and to present green space creation strategies for each space characteristic in order to increase the effectiveness of such projects. Therefore, this study is regarded as meaningful in suggesting a method for selecting a green area for reducing PM.

• Korean Journal of Plant Resources
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• v.34 no.1
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• pp.44-51
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• 2021

Centella asiatica (L.) Urban is a medicinal plant containing madecassic acid, triterpenoids and asiaticoside, and has a wound healing effect. However, since it grows only in some regions of Korea, it is necessary to breed stable varieties. In this study, it were analyzed for the growth characteristics, asiaticoside, anxiodant components and 2,2-diphenyl-1picryl hydrazyl (DPPH) radical scavening activity of C. asiatica collected from domestic natural habitat (Hapcheon, Gyeongnam). In the growth characteristics of each resource, CA9 and CA10 were superior in characteristics of aerial part and in dry weight. In asiaticoside content analysis, CA5 and CA3 were high with 53.96 mg/g and 52.40 mg/g, respectively. CA12 showed the possibility of development because the resource showed high in total flavonoid (7.3 mg/g), total polyphenol (10.64 mg/g) and DPPH activity (11.96 mg AAE/g) among other resources. However, it is necessary to select a resource suitable for each characteristic of C. asiatica and to study charateristics through additional resources collection since the excellent growth characteristics of the collected resources do not necessarily coincide with the content and antioxidant activities.

• Journal of Korea Water Resources Association
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• v.53 no.12
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• pp.1203-1210
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• 2020

Drought is caused by a combination of various hydrological or meteorological factor, so it is difficult to accurately assess drought event, but various drought indices have been developed to interpret them quantitatively. However, the drought indexes currently being used are calculated from the lack of a single variable, which is a problem that does not accurately determine the drought event caused by complex causes. Shortage of a single variable may not be a drought, but it is judged to be a drought. On the other hand, research on developing indices using unstructured data, which is widely used in big data analysis, is being carried out in other fields and proven to be superior. Therefore, in this study, we intend to calculate the drought index by combining unstructured data (news data) with weather and hydrologic information (rainfall and dam inflow) that are being used for the existing drought index, and to evaluate the utilization of drought interpretation through verification of the calculated drought index. The Clayton Copula function was used to calculate the joint drought index, and the parameter estimation was used by the calibration method. The analysis showed that the drought index, which combines unstructured data, properly expresses the drought period compared to the existing drought index (SPI, SDI). In addition, ROC scores were calculated higher than existing drought indices, making them more useful in drought interpretation. The joint drought index calculated in this study is considered highly useful in that it complements the analytical limits of the existing single variable drought index and provides excellent utilization of the drought index using unstructured data.

• Journal of Korea Water Resources Association
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• v.53 no.12
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• pp.1193-1201
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• 2020

This study aims to develop a regression model that estimates a low-flow index that can be applied to ungauged basins. A total of 30 midsized basins in South Korea use long-term runoff data provided by the National Integrated Water Management System (NIWMS) to calculate average low-flow, average minimum streamflow, and low-flow index duration and frequency. This information is used in the correlation analysis with 18 basin factors and 3 climate change factors to identify the basin area, average basin altitude, average basin slope, water system density, runoff curve number, annual evapotranspiration, and annual precipitation in the low-flow index regression model. This study evaluates the model's accuracy by using the root-mean-square error (RMSE) and the mean absolute error (MAE) for 10 ungauged, verified basins and compares them with the previous model's low-flow calculations to determine the effectiveness of the newly developed model. Comparative analysis indicates that the new regression model produces average low-flow, attributed to the consideration of varied basin and hydrologic factors during the new model's development.

• Korean Journal of Environment and Ecology
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• v.36 no.3
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• pp.350-357
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• 2022

A national park is a place to conserve natural resources and visitors to experience nature, and thus, it is necessary to identify the noise distribution characteristic in the national park and preserve and restore the soundscape. However, most national parks in Korea are exposed to noise, leading to negative perceptions of the national park's soundscape and affecting the ecosystem. Many national parks in other countries have investigated the ecosystem impacts caused by noise and have performed various management to reduce the noise. However, in Korea, there is still a lack of awareness of the effect on the ecosystem, overlooking the need for soundscape management. Therefore, in this study, we developed a noise map of Mudeungsan National Park to investigate the quantitative impact of noise on visitors and the ecosystem. Also, we measured the trail's soundscape to describe a sound grade classification, and the soundscape of main spots in the park was recorded for a year and then analyzed. Finally, the sound resource distribution map was described, which can be used as preliminary data to determine the national park's sound distribution characteristics and manage the soundscape.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1183-1193
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• 2021

Low flow affects various fields such as river water supply management and planning, and irrigation water. A sufficient period of flow data is required to calculate the Flow Duration Curve. However, in order to calculate the Flow Duration Curve, it is essential to secure flow data for more than 30 years. However, in the case of rivers below the national river unit, there is no long-term flow data or there are observed data missing for a certain period in the middle, so there is a limit to calculating the Flow Duration Curve for each river. In the past, statistical-based methods such as Multiple Regression Analysis and ARIMA models were used to predict sulfur in the unmeasured watershed, but recently, the demand for machine learning and deep learning models is increasing. Therefore, in this study, we present the DNN technique, which is a machine learning technique that fits the latest paradigm. The DNN technique is a method that compensates for the shortcomings of the ANN technique, such as difficult to find optimal parameter values in the learning process and slow learning time. Therefore, in this study, the Flow Duration Curve applicable to the unmeasured watershed is calculated using the DNN model. First, the factors affecting the Flow Duration Curve were collected and statistically significant variables were selected through multicollinearity analysis between the factors, and input data were built into the machine learning model. The effectiveness of machine learning techniques was reviewed through statistical verification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.411-422
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• 2021

The purpose of this study is to examine the relationships between quality of life and demographic characteristics and health-related behavioral characteristics, and their relevance to variables that represent health conditions among metropolitan-dwelling older adults. The study subjects were 380 senior citizens aged 65 or older living in the D metropolitan area, and data collection was conducted by visiting them for interviews in June 2019. A binomial logistic regression analysis was performed to examine the relationship between independent variables (demographic characteristics, health-related behavioral characteristics, health condition variables) and the dependent variable (quality of life) while controlling for gender and age. As a result, the factors related to quality of life for those surveyed were education level, spousal status, living status, bear for living expenses, average monthly allowance, satisfaction with daily life, evaluation of sleep quality, smoking and eating habits, amount of regular exercise, hobbies, subjective health status, physical disability (if any), hearing ability, visual acuity, mastication ability, urinary incontinence (present or not), and amnesia. The above results suggest that quality of life for the elderly living in urban areas is significantly related to variables that indicate demographic characteristics, health-related behavioral characteristics, and health condition.