• Journal of the Korean Geosynthetics Society
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• v.18 no.3
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• pp.55-67
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• 2019

Deep soft ground in mouth of Nackdong river requires to be analysed with prediction method concerning characteristics of secondary consolidation from the beginning because it causes excessive settlement due to time-dependant secondary consolidation characteristics. This study investigated characteristics of extended settlement by conducting one-dimensional theory, elasto-plastic model and visco-elasto-plastic model as well as analyzing long-term measuring data observed over 2,000 days. According to one-dimensional theory and elasto-plastic model, there is not definite correlation between height of embankment and depth of soft ground while visco-elasto-plastic model showed similar result of settlement to that of long-term measuring data. Consequently it is suggested that applying visco-elasto-plastic model to developing deep underground place as studied area on predicting extended settlement before construction prevents economic loss and delay during process by preparing secondary consolidation characteristics.

• Journal of Pharmacopuncture
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• v.23 no.4
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• pp.252-261
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• 2020

Objectives: Chronic diseases (CDs) continue to increase due to advances in medicine and increase in lifespan, affecting quality of life and resulting in economic loss through treatment costs. This study addressed the perception characteristics of the effectiveness of Korean medicine (KM) based on the existence of a CD to determine the national preference for KM treatment. Methods: Using data from the 2017 National Survey of KM Usage, we evaluated the perception on treatment effect of 16 diseases by dividing them into the CD group and the non-CD group. Response reliability was verified by applying the chi-square test (χ2-test) analysis method of the Statistical Package for the Social Sciences (SPSS) statistical program. Results: The analysis of the perception on effectiveness of KM for patients with CD (n = 1,050, 21.0%) and for patients with non-CD (n = 3,950, 79.0%) showed an overall similar trend for all the 16 diseases. The response rates of having some treatment effect were high for nine diseases namely, disc-related disease (CD: 70.7%, non-CD: 73.1%), osteoarthritis (CD: 72.3%, non-CD: 72.4%), frozen shoulder and shoulder pain (CD: 79.6%, non-CD: 81.4%), back pain (CD: 84.6%, non-CD: 85.0%), sprain (CD: 84.8%, non-CD: 84.1%), facial nerve paralysis (CD: 73.5%, non-CD: 71.7%), stroke (CD: 66.2%, non-CD: 62.8%), digestive disease (CD: 53.3%, non-CD: 50.0%), and common cold and rhinitis (CD: 44.7%, non-CD: 44.8%). Conclusion: The present results found that there was little difference in the perception on effectiveness of KM for each of the 16 diseases in patients with CD and non-CD, however, 70% or more of the respondents recognized some treatment effect on musculoskeletal disorders, regardless of the existence of CD. Preferential political support for KM treatment of chronic musculoskeletal disorders is recommended.

• International Area Studies Review
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• v.20 no.4
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• pp.37-56
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• 2016

The purpose of this research is to present the implication for Korean firms' entry into the power market in Myanmar. This study investigated the characteristics of the Myanmar power market and analyzed SWOT, focusing on energy policy, power supply and demand, energy relations with neighboring countries and climate change issue. Opportunity factors are changes in energy strategies, the launch of an energy integration organization, changes in the power energy portfolio, rapid economic and power demand growth, and a clean development mechanism. The threats are high nonfulfillment of a contract, high power loss rates and low electricity distribution rates, increased energy exports to neighboring countries, and vulnerability to climate change. We suggest the use of CHP (Combined Heat and Power), Clean Development Mechanism (CDM), and Multilateral Development Bank (MDB).

• Journal of English Language & Literature
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• v.55 no.2
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• pp.315-335
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• 2009

Controversies over W. H. Auden's "political" poetry remind us of an old but perhaps never easily resolved problem about the relationship between poetry (literature) and politics. Auden has arguably been referred to as a "leftist" or "Marxist" because of his political viewpoint registered in "Spain" or "September 1, 1939," which embodies his contemporaries' loss and fear, brought by the socio-political turmoil, economic depression, and moral conflicts of the 1930s. Interestingly, however, Auden is known to have an ambivalent position toward the political reality. He once disavowed the above "political" poems as "dishonest" in the preface of the 1966 edition of Collected Poems and declared, "poetry makes nothing happen" in "In Memory of W. B. Yeats," which seemingly acknowledges the political incapacity of poetry. Auden's position and poetry should be understood as the result of complicated interactions between his perspectives on society, human beings, and poetics. Auden definitely believed in the role of poetry in such a politically demanding time, yet was not concerned with the anticipation of certain immediate changes effected by poetry in real situations. Instead, he sought the intellectual and moral effects that poetry could give his readers to help them survive the dismal circumstances of the 1930s. This is what distinguished Auden's poetry from political propaganda. In doing so, Auden's poetry captures the zeitgeist of his generation and has privileged him as the leading voice of his time, but it has also encouraged the following generations to confront different socio-political difficulties. This is something poetry can make happen politically, and the survival of Auden's "memorable speech" proves the legitimacy of his frequently misunderstood poetics.

• Journal of Trauma and Injury
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• v.34 no.4
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• pp.225-232
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• 2021

Purpose: Trauma is the top cause of death in people under 45 years of age. Deaths from severe trauma can have a negative economic impact due to the loss of people belonging to socio-economically active age groups. Therefore, efforts to reduce the mortality rate of trauma patients are essential. The purpose of this study was to investigate preventable mortality in trauma patients and to identify factors and healthcare-related challenges affecting mortality. Ultimately, these findings will help to improve the quality of trauma care. Methods: We analyzed the deaths of 411 severe trauma patients who presented to Gachon University Gil Hospital regional trauma center in South Korea from January 2015 to December 2017, using an expert panel review. Results: The preventable death rate of trauma patients treated at the Gachon University Gil Hospital regional trauma center was 8.0%. Of these, definitely preventable deaths comprised 0.5% and potentially preventable deaths 7.5%. The leading cause of death in trauma patients was traumatic brain injury. Treatment errors most commonly occurred in the intensive care unit (ICU). The most frequent management error was delayed treatment of bleeding. Conclusions: Most errors in the treatment of trauma patients occurred in early stages of the treatment process and in the ICU. By identifying the main causes of preventable death and errors during the course of treatment, our research will help to reduce the preventable death rate. Appropriate trauma care systems and ongoing education are also needed to reduce preventable deaths from trauma.

• The Plant Pathology Journal
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• v.37 no.6
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• pp.632-640
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• 2021

Cucumber mosaic virus (CMV) and Pepper mild mottle virus (PMMoV) causes severe economic loss in crop productivity of both agriculture and horticulture crops in Korea. The previous surveys showed that naturally available biopolymer material - chitosan (CS), which is from shrimp cells, reduced CMV accumulation on pepper. To improve the antiviral activity of CS, it was synthesized to form phosphate cross-linked chitosan (PCS) and compared with the original CS. Initially, the activity of CS and PCS (0.01%, 0.05%, and 0.1% concentration) compound against PMMoV infection and replication was tested using a half-leaf assay on Nicotiana glutinosa leaves. The total number of local lesions represented on a leaf of N. glutinosa were counted and analyzed with phosphate buffer treated leaves as a negative control. The leaves treated with a 0.1% concentration of CS or PCS compounds exhibited an inhibition effect by 40-75% compared with the control leaves. The same treatment significantly reduced about 40% CMV accumulation measured by double antibody sandwich enzyme-linked immunosorbent assay and increased the relative expression levels of the NPR1, PR-1, cysteine protease inhibitor gene, LOX, PAL, SRC2, CRF3 and ERF4 genes analyzed by quantitative reverse transcriptase-polymerase chain reaction, in chili pepper plants.

• The Journal of Information Systems
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• v.30 no.4
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• pp.21-42
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• 2021

Purpose In order for companies to continue to grow, they should properly manage human resources, which are the core of corporate competitiveness. Employee turnover means the loss of talent in the workforce. When an employee voluntarily leaves his or her company, it will lose hiring and training cost and lead to the withdrawal of key personnel and new costs to train a new employee. From an employee's viewpoint, moving to another company is also risky because it can be time consuming and costly. Therefore, in order to reduce the social and economic costs caused by employee turnover, it is necessary to accurately predict employee turnover intention, identify the factors affecting employee turnover, and manage them appropriately in the company. Design/methodology/approach Prior studies have mainly used logistic regression and decision trees, which have explanatory power but poor predictive accuracy. In order to develop a more accurate prediction model, XGBoost is proposed as the classification technique. Then, to compensate for the lack of explainability, SHAP, one of the XAI techniques, is applied. As a result, the prediction accuracy of the proposed model is improved compared to the conventional methods such as LOGIT and Decision Trees. By applying SHAP to the proposed model, the factors affecting the overall employee turnover intention as well as a specific sample's turnover intention are identified. Findings Experimental results show that the prediction accuracy of XGBoost is superior to that of logistic regression and decision trees. Using SHAP, we find that jobseeking, annuity, eng_test, comm_temp, seti_dev, seti_money, equl_ablt, and sati_safe significantly affect overall employee turnover intention. In addition, it is confirmed that the factors affecting an individual's turnover intention are more diverse. Our research findings imply that companies should adopt a personalized approach for each employee in order to effectively prevent his or her turnover.

• Journal of Animal Reproduction and Biotechnology
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• v.36 no.4
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• pp.261-269
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• 2021

Because sows are industrially vital for swine production, monitoring for their health or disorder status is important to ensure high reproductive performance. Especially, ambient temperature changes in different season, especially during summer, are directly influenced to the reproductive performance of sows. Although the serum biochemical parameters are widely applied in the veterinary medicine with wide ranges for the physiological process, the values are also influenced by several factors such as age, breed, gender, and stress. In addition, domestic sows in Korea-specific reference interval (RI) for serum biochemistry has not been established yet. Therefore, the present study was aimed to evaluate seasonal variation of RIs in the serum biochemistry in domestic sows in Korea at different seasons and to establish normal RIs using a RI finding program (Reference Value Advisor). Significant difference (p < 0.05) on the different seasons were identified in several serum biochemical parameters including BUN, CRE, GGT, GLU, ALB, TP, LDH and Na in sows. Therefore, we further established RIs, specific in domestic sows in Korea regardless of season. The established RIs based on the serum biochemical values provide a baseline for interpreting biochemical results in the domestic sows in Korea, regardless of seasonal effect. It may contribute to develop a strategy for better reproductive performance by improving breeding management practice and evaluating health of pig herds, which facilitate to avert the economic loss in summer infertility in sows.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.1
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• pp.62-68
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• 2022

Due to medical and economic development, various treatment methods are being studied to restore or maintain beautiful and healthy teeth. In particular, interest in aesthetic treatment procedures such as prosthetic treatment and whitening to restore tooth loss is increasing. One of the important things in the field of prosthetics and esthetic treatment is to determine the correct color of teeth because harmony with natural teeth is an important factor in determining the perfection of esthetic prostheses. This study is about the development of a colorimetry application for tooth colorimetry using a smartphone camera. The colorimetry application UI was designed, the colorimetry algorithm was derived and the application was implemented, and the validity of the application was verified through testing the implemented application.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1861-1869
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• 2022

Recent climate change can increase the frequency and damage of wildfires worldwide. It can also lead to the deterioration of the forest ecosystem and increase casualties and economic loss. Satellite-based indices for forest damage can facilitate an objective and rapid examination of burned areas and help analyze inaccessible places like North Korea. In this letter, we conducted a detection of burned areas in North Korea using the traditional Normalized Burn Ratio (NBR), the Normalized Difference Vegetation Index (NDVI) to represent vegetation vitality, and the Fire Burn Index (FBI) and Forest Withering Index (FWI) that were recently developed. Also, we suggested a strategy for the satellite-based detection of burned areas in the Korean Peninsula as a result of comparing the four indices. Future work requires the examination of small-size wildfires and the applicability of deep learning technologies.