• The korean journal of orthodontics
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• v.32 no.3 s.92
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• pp.155-163
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• 2002

This study was performed to assess the accuracy of computer-based treatment prediction for soft tissue profile using Quick Ceph Image $Pro^{TM}\;&\;Quick\;Ceph\;2000^{TM}$ in bimaxillary protrusion cases. The Ore- and post-treatment lateral cephalograms of 21 female adults treated by low first premolar extraction were imaged and 9 landmarks and 27 specific soft tissue mesurements were digitized for comparing actual treatment results with computer simulations. The results of this study showed that Quick Ceph Image $Pro^{TM}\;&\;Quick\;Ceph\;2000^{TM}$ tends to overestimeate horizontal changes and underestimate vertical changes. In the computer simulation, upper lip showed rolling tendency. The upper lip measurements were disposed to be regular direction hut lower lip measurements were varied case by case even if it was statistically insignificant.

• Journal of Environmental Impact Assessment
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• v.31 no.4
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• pp.265-270
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• 2022

With the implementation of the fox restoration project, the number of foxes released into nature are increasing; therefore, in the future, foxes will be dispersed to other areas and will appear in human habitats. In this study, the habitat suitability index (HSI) of foxes was developed to predict and prepare for the effects. After extracting major environmental variables through literature research and GIS analysis, 5 suitability indices (SIs) were constructed. The forest physiognomy, slope, aspect, distance from water source, and distance from road are the main variables, and the arithmetic average value by giving twice the weight to the forest physiognomy is the HSI result. As a result of comparing with the data from the Natural Environment Survey, it is found that the fox coordinates have an average HSI value of 0.64, and the probability of appearance is high when it is 0.53 or higher. Using the results of this study, it is expected to be able to predict the distribution of foxes in advance, to use them as basic data for future restoration plans, or to identify the distribution of the species and the reduction plan in future environmental impact assessments.

• Environmental and Resource Economics Review
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• v.26 no.2
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• pp.229-255
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• 2017

This study empirically estimates the impacts of climate change on forest composition in Korea using a fractional data regression model, and forecasts the change in forest composition in the 2040s and 2090s based on the IPCC climate change scenarios. Unlike the forest science studies that incorporate mostly only ecological variables as the determinants of forest composition, we take into account regional level socio-economic and forest management variables as well. Our estimation results found that not only environmental factors but also socio-economic and forest management related factors strongly affect the composition of Korean forest. Based on the estimation results and IPCC scenarios on climate change, we predict that the share of currently dominant coniferous forest will decline in the future under all scenarios. About 10% of total forest area is likely to be converted from coniferous forest into broadleaved forest until 2090s under the scenario RCP 8.5. It is also predicted that there will be a substantial regional variation in the effects of climate change on forest composition, and the coniferous forests in the inland regions will decline more dramatically.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.116-127
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• 2011

This study conducted landslide susceptibility analysis using logistic regression. The performance of prediction model needs to be evaluated considering two aspects such as a goodness of fit and a prediction accuracy. Thus to gain more objective prediction results in this study, the prediction performance of the applied model was evaluated considering two such evaluation aspects. The selected study area is located between Inje-eup and Buk-myeon in the middle of Kwangwon. Landslides in the study area were caused by heavy rain in 2006. Landslide causal factors were extracted from topographic map, forest map and soil map. The evaluation of prediction model was assessed based on the area under the curve of the cumulative gain chart. From the results of experiments, 87.9% in the goodness of fit and 84.8% in the cross validation were evaluated, showing good prediction accuracies and not big difference between the results of the two evaluation methods. The results can be interpreted in terms of the use of environmental factors which are highly related to landslide occurrences and the accuracy of the prediction model.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.159-168
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• 2024

This study was conducted to identify factors influencing clinical performance among nursing students who experienced clinical practice due to COVID-19 and provide basic data to improve clinical performance. This study collected data from October 10 to October 27, 2023, targeting 144 students at two nursing schools in G Province. The collected data were analyzed using descriptive statistics, difference analysis (t-est, on-way ANOVA), correlation, and hierarchical regression analysis. As a result of the study, in Model 1, extrovert and mixed personality types were found to be significant predictive factors explaining clinical performance. The goodness of fit of Model 1 was statistically significant, and the explanatory power was 9.2% (F=8.256, p<.001). In Model 2, interpersonal skills and confidence in nursing skills appeared as significant predictive factors explaining clinical performance ability. Confidence in nursing skills was the best predictor of clinical performance, followed by interpersonal skills. The explanatory power of the model was 50.1%, an increase of 41.3% compared to Model 1. Model fit was also statistically significant. Simulation education that reproduces various situations should be strengthened to increase opportunities to perform direct nursing and improve nursing students' nursing capabilities. If you improve your confidence in nursing skills and interpersonal skills through simulation education, your clinical performance will ultimately improve, and this will be able to be demonstrated as a nursing competency when employed as a nurse.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.491-500
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• 2018

The purpose of this study is to identify the types of nursing organization culture recognized by hospital nurses and to confirm the relationship between these nursing organizational culture and professional quality of life. A convenience sampling method was used to collect data from 216 participants who worked in a university hospital in C city, Chungbuk province. Data were analyzed using SPSS / WIN22.0 program. The significant predictors of Compassion Satisfaction, which is a subdivision of the professional quality of life, include Innovation-oriented culture, marital status, and the relationship - oriented culture. As for secondary traumatic stress, it has the significant predictors such as age, task-oriented culture and hierarchy-oriented culture. Burnout also turns out to be affected by the predictors of relationship - oriented culture, clinical career, and hierarchy-oriented culture. Based on these results, to create a innovation-oriented culture and relation-oriented culture within the organization, it is necessary to develop an intervention program for nurses' recognition change and improvement, in addition, studies that test the clinical effects are needed. In order to secure skilled nurses with rich clinical and career abilities, the working environment and treatment should be improved at the organization level.

• Journal of the Korean Arthroscopy Society
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• v.7 no.1
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• pp.42-47
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• 2003

관절낭 열 수축술은 시술 자체가 쉽고 편리하게 적용할 수 있어 최근에 그 사용이 증가하는 추세이다. 최근에 발표되는 임상 결과를 볼 때 비교적 만족할 만한 성과를 얻는 것을 볼 수 있으나 그 결과 분석에 세심한 주의가 필요할 것이다. 또한 아직까지도 열 에너지를 이용한 상완 관절낭 수축술 후에 나타나는 관절낭의 생역학적 혹은 생화학적인 변화에 대한 연구가 진핼 중이며 항상 만족스러운 결과만을 예측할 수만은 없는 상황으로 단독적인 사용보다는 관절경적 plication이나 anchonr를 이용한 재건술과 함께 사용할 때 좋은 결과를 얼을 수 있을 것으로 사료된다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.2
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• pp.59-66
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• 2018

This study examined the correlation among topography, forest type, soil and geology in Inje area where landslides occurred during heavy rainfall from July 11 to July 18, 2006 to assess the landslide susceptibility. In order to assess the susceptibility of future landslides, landslides occurred in Inje area were classified into slide type and flow type, and slope angle, aspect, curvature, ridge and valley were extracted from the area. The landslide susceptibility was assessed by applying diameter class, age class, density, and forest type to Bayesianbased LR (Logistic Regression) model and WOE (Weight of Evidence) model, and the fitness of modeling was verified by predict rate curve. As the results of susceptibility assessment, using all landslides without no distintion, it was found that 75% of the LR model and 73% of the WOE model were fit in terms of the top 20% of the landslides. According to slide type and flow type in the top 20% of the landslides, it was found that 71% of the LR model and 69% of the WOE model were fit in terms of the slide type. Whereas, it was found that 86% of the LR model and 82% of the WOE model were fit in terms of the flow type. That is, the results of the LR model showed higher fitness than the results of the WOE model, and the fitness of the flow type was higher than that of the slide type. Consequently, it suggests that it is reasonable to assess and verify the landslide susceptibility according to the types of landslides.

• Pediatric Infection and Vaccine
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• v.9 no.1
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• pp.74-78
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• 2002

Purpose : Proper diagnosis of group A streptococcal pharyngitis that may cause chronic diseases in childhood is not easy because its signs and symptoms would be nonspecific. Because results of classical throat culture delays for one to two days, we'd like to determine whether early antibiotics would be introduced with according to the clinical score system. This study was undertaken to evaluate of clinical usefulness of scoring system based on the clinical and laboratory findings. Methods : From Jan. 1998 to Dec. 2000, 10 clinical items based on modified 9 items by Breese in 1977 were checked in patients with pharyngitis who visited on outpatients clinic of pediatrics, Kyunghee University Hospital. We compared the results of throat culture with the points of clinical score system. Results : Out of 45 cases, the positive culture for Group A Streptococcus was 20 and negative culture was 25. When we applied more than 30 points of score, which correspond to 70 percentile of study population, the sensitivity and specificity were 35.0% and 96.0%, respectively. Conclusion : Although sensitivity was relatively low this scoring system, but the high specificity may be useful diagnostic tool in the areas where the rate of isolation of Group A Streptococcus is low.

• Korean Journal of Clinical Laboratory Science
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• v.51 no.1
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• pp.42-49
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• 2019

This study compared the utility of the serum uric acid/creatinine ratio with that of uric acid as a risk predictor of metabolic syndrome. From November 2016 to October 2018, 14,190 adult men under the age of 20 years, who underwent a comprehensive health checkup at a general hospital in their metropolitan area, were included. Metabolic syndrome was assessed according to the American Heart Association/National Heart Lung and Blood Institute (AHA/NHLBI) criteria. Abdominal obesity was based on the WHO criteria in the Western Pacific region. The serum uric acid/creatinine ratio was found to be higher in the fourth quartile than in the first quartile, with a high incidence of metabolic syndrome and metabolic syndrome components. On the other hand, ROC analysis revealed the serum uric acid/creatinine ratio to be a similar indicator of the metabolic syndrome risk to serum uric acid (AUC, 0.554 vs 0.566). The serum uric acid/creatinine ratio showed lower sensitivity and higher specificity than uric acid. In conclusion, the utility of the serum uric acid/creatinine ratio as an independent indicator to predict the risk of metabolic syndrome is limited, and should be used only as an auxiliary marker.