• Journal of Digital Convergence
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• v.10 no.3
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• pp.197-205
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• 2012

In this study, we analyzed situation and length of stay(LOS) variations of inpatients with pressure ulcer using patient safety indicators developed by the United States Agency for Healthcare Research and Quality(AHRQ) and proposed management of medical quality and development of policy. The dataset was taken from 1,373 database of the hospital discharge injury survey from 2005 to 2008. Analysis method was used frequency and chi-square test, ANOVA, multiple linear regression analysis. In result, distribution of inpatients with pressure ulcer by sex were 52.5%(male), 47.5%(female), respectively and aged $65{\geqq}years$ was the highest in age group. LOS of inpatients with nervous system principal disease was the longest. Independent variables which were statistically associated with LOS of inpatients with pressure ulcer were year, sex, insurance type, bed size, operation, principal diagnosis. Therefore, hospital should develop the standardized strategy and guidelines to manage pressure ulcer inpatients efficiently and apply it into the medical information system.

• Analytical Science and Technology
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• v.25 no.4
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• pp.230-235
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• 2012

It is to use many plastic materials as living essential goods. But when the fire is happened, owing to noxious gases, many men should be injured. Therefore as the noxious gases are measured by open path FT-IR spectrometer as remote monitoring, the demage of men could be minimized. Such this system consists of a Fourier transform spectrometer and infrared lamp fitted to long length. The study was to do the quantitative analysis on CO, $NO_2$, HCl, HF gas by remote monitoring open path FT-IR spectrometer. And the method of it should use MLR (multiple linearity regression) method. As result, It was confirmed to be more than 0.95 as $R^2$ of MLR. And then Urethane and PVC of plastic materials selected was burned, the concentration of polluted gases were measured by remote monitoring method.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.596-606
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• 2022

The purpose of this study was to identify the effects of adolescent social withdrawal on self-esteem and life satisfaction, and to analyze the moderating effect of participation in Self-development Youth Activities. Among the data for the 3rd year of the Korea Children's and Youth Panel Survey 2018 (KCYPS. 2018), data from 2,384 first-year middle school students were used, and descriptive statistical analysis, correlation analysis, linear regression analysis, and hierarchical multiple regression analysis were performed to test the hypothesis. First, it was analyzed that the social withdrawal had a statistically significant negative(-) effect on the self-esteem. Second, it was analyzed that the social withdrawal had a statistically significant negative(-) effect on the life satisfaction. Third, it was verified that self-development Youth Activities had a moderating effect in the relationship between social withdrawal and self-esteem. Fourth, it was verified that self-development Youth Activities had a moderating effect in the relationship between social withdrawal and life satisfaction.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.641-641
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• 2015

수자원 관리의 새로운 패러다임으로 스마트워터그리드가 이슈화되고 있다. 스마트워터그리드는 현재 직면해 있는 물 문제를 ICT기술을 활용하여 효율적으로 관리 및 운영할 수 있는 기술이다. 가뭄과 홍수 등을 대응하기 위한 분산형 수자원, 그리고 수량과 수질등의 통합 관리를 지향하는 물관리 패러다임과 ICT와 물산업을 융복합화하여 양방향 실시간 운영을 통한 네트워크 구성, 그리고 대규모 수원개발과 장거리 수송방식으로부터 지역단위의 부존된 수자원인 다중수원을 효율적으로 활용하고, 이들 수원의 최적 블랜딩 기술 및 멀티워터루프를 이용한 수요자 중심의 물관리에 초점을 맞추고 있다. 이에 본 연구에서는 지역의 부존된 수자원을 효율적으로 관리하기 위한 운영지수를 산정함으로써 지역의 평상시 물관리 운영과 상수공급차단, 다중수원에 오염물질 유입, 가뭄발생 등 비상시 상황에 물관리가 원활히 이루어지도록 하였다. 스마트워터그리드에서 사용되는 물관리 운영지수는 비상시 지역간 플랫폼에 정상적으로 물공급이 어렵거나, 예상되어 유량 확보가 필요시 원활하게 유량 확보가 가능하도록 주변 지역간의 운영지수를 산정하여 최적의 조건을 도출하여 우선순위를 시나리오에 나타내어 사용자가 플랫폼에 물공급이 가능하도록 제시한 운영지수이다. 물관리 운영지수는 중회귀분석 기법을 이용하여 종속변수에 선형적인 영향을 미치는 유량, 수질, 이송거리, 전력비용, 경제적인 영향 등을 고려하여 종속변수의 값을 예측하고 통계적인 기법으로 유량, 수질, 이송거리, 전력비용, 경제적인 영향 등에 대한 장래추정치를 부여하여 회귀모델을 구축하여 물관리 운영지수를 산정하였다. 이를 활용하여 평상시에는 물수요 공급량을 정확히 관리하여 지역간의 수자원 불균형을 해소하고 비상시에는 상황을 대처하여 지역의 물부족 문제를 해소할 수 있을 것으로 판단된다.

• Korean Journal of Psychosomatic Medicine
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• v.31 no.2
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• pp.155-164
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• 2023

Objectives : The aim of this study was to identify the factors affecting ideas of persecution in post-traumatic stress disorder (PTSD) patients who underwent Clinician-Administered PTSD Scale (CAPS) and Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Methods : We retrospectively reviewed 116 patients who underwent CAPS and MMPI 2 between May 2013 and April 2020 at Veteran Health Service Medical Center. Based on the CAPS score, the patients were divided into the PTSD group (n=63, age: 58.16±17.84) and the trauma exposed without PTSD group (n=53, age: 67.34±12.05). After checking the correlation between Ideas of persecution, CAPS, and MMPI-2 scales, linear regression analysis was performed to identify the risk factors for clinically relevant symptoms. Results : The PTSD group showed significant differences in Schizophrenia, Ideas of persecution, Dysfunctional negative emotions, Aberrant Experiences, Psychoticism, Negative Emotionality/Neuroticism, Anxiety, Depression, and Anger scales compared to the trauma-exposed without PTSD group. When analyzing the correlation between Idea of persecution, CAPS and MMPI-2 scales, there was a strong association with most of the scales in MMPI-2 and Idea of persecution except Disconstraint. Multiple linear regression analysis performed in PTSD group identified that risk factors for Idea of persecution were Dysfunctional negative emotions and Anger scale. Conclusions : The PTSD group had increased idea of persecution compared to the trauma exposed without PTSD group. Dysfunctional negative emotions and anger may be risk factors for idea of persecution in trauma exposed population.

• Analytical Science and Technology
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• v.24 no.6
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• pp.544-555
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• 2011

The acute toxicity in the rainbow trout (Oncorhynchus mykiss) was analyzed and predicted using quantitative structure-activity relationships (QSAR). The aquatic toxicity, 96h $LC_{50}$ (median lethal concentration) of 275 organic pesticides, was obtained from EU-funded project DEMETRA. Prediction models were derived from 558 2D molecular descriptors, calculated in PreADMET. The linear (multiple linear regression) and nonlinear (support vector machine and artificial neural network) learning methods were optimized by taking into account the statistical parameters between the experimental and predicted p$LC_{50}$. After preprocessing, population based forward selection were used to select the best subsets of descriptors in the learning methods including 5-fold cross-validation procedure. The support vector machine model was used as the best model ($R^2_{CV}$=0.677, RMSECV=0.887, MSECV=0.674) and also correctly classified 87% for the training set according to EU regulation criteria. The MLR model could describe the structural characteristics of toxic chemicals and interaction with lipid membrane of fish. All the developed models were validated by 5 fold cross-validation and Y-scrambling test.

• Journal of Wetlands Research
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• v.13 no.3
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• pp.547-565
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• 2011

Different types of schemes have been used in stage prediction involving conceptual and physical models. Nevertheless, none of these schemes can be considered as a single superior model. To overcome disadvantages of existing physics based rainfall-runoff models for stage predicting because of the complexity of the hydrological process, recently the data-derived models has been widely adopted for predicting flood stage. The objective of this study is to evaluate model performance for stage prediction of the Neuro-Fuzzy and regression analysis stage prediction models in these data-derived methods. The proposed models are applied to the Wangsukcheon in Han river watershed. To evaluate the performance of the proposed models, fours statistical indices were used, namely; Root mean square error(RMSE), Nash Sutcliffe efficiency coefficient(NSEC), mean absolute error(MAE), adjusted coefficient of determination($R^{*2}$). The results show that the Neuro-Fuzzy stage prediction model can carry out the river flood stage prediction more accurately than the regression analysis stage prediction model. This study can greatly contribute to the construction of a high accuracy flood information system that secure lead time in medium and small streams.

• Journal of Bio-Environment Control
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• v.20 no.4
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• pp.297-303
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• 2011

The contents of capsaicinoid, free sugars and organic acids of six varieties of Korean hot pepper, Supermanita, Dokyacheongcheong, Shinseokyeoi, Wangdaebak, Hanbando, and Chungyang, were measured. The sensory evaluations of its extracts were compared in order to investigate the indirect effect or reaction of the composition of taste components on sensory acceptability of Korean hot pepper. The contents of capsaicinoid were considerably from $37.8mg{\cdot}100g^{-1}$ to $164.1mg{\cdot}100g^{-1}$, and the contents of free sugars were from 9.3% to 18.2%, and the contents of organic acids were from 8.1% to 14.7% in Korean hot peppers. Although the pungent sensory evaluation of water extract of pepper powder was completely accordant with instrumental analysis result of capsaicinoid contents, they did not show a significant relationship to the sensory of taste. Multiple regression with capsaicinoid (CAP), total sugars (TS) and total organic acid (TOA) contents increased the correlation coefficient for sensory of taste to r = 0.927 and the coefficient of determination for them to $R^2=0.906$. However, we suggest the more efficient function for it which is composed of two independent variables only. As the result, a regression equation of Y = 0.69 X + 0.11 with $R^2=0.884$ was obtained for quantitative analysis of sensory evaluation of pepper taste by two factors between capsaicinoid and total free sugar.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.143-150
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• 2020

The purpose of this study was to investigate the relationship between self-esteem, quality of life, and depression of nursing students, and to determine the effect on depression. The subjects of the study were 311 nursing students and collected data from November 20 to December 5, 2017. Data analysis was performed using the SPSS 21.0 program, t-test, ANOVA, Pearson correlation and multiple linear regression analysis. As a result, there were significant differences in college life satisfaction among general characteristics. Self-esteem was 3.37, quality of life was 3.54, and depression was 16.52. Depression was found to have a significant negative correlation with quality of life. The most significant influence on depression was quality of life, and the explanatory power was 48.2%. Based on the results of this study, it is necessary to develop and apply intervention programs to prevent depression of nursing students.

• The Korean Journal of Nuclear Medicine
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• v.34 no.1
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• pp.30-38
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• 2000

Purpose: We investigated the role of myocardial perfusion SPECT in prediction of ventricular dilatation and the role of revascularization including thrombolytic therapy and PTCA in prevention of ventricular dilatation after an acute myocardial infarction (AMI). Materials and Methods: We performed dipyridamole stress, 4 hour redistribution, and 24 hour reinjection Tl-201 SPECT in 16 patients with AMI two to nine days after attack. Perfusion and wall motion abnormalities were quantified by perfusion index (PI) and wall motion index (WMI). Left ventricular ejection fraction (LVEF), WMI and ventricular volume were measured within 1 week of AMI and after average of 6 months. According to serial changes of left ventricular end-diastolic volume (LVEDV), patients were divided into two groups. We compared WMI, PI and LVEF between the two groups. Relationships among degree of volume, stress-rest PI, WMI, CKMB, Q wave, LVEF and revascularization were analysed using multivariate analysis. Results: Only initial rest perfusion index was significantly different between the two groups (p<0.05). While initial LVEF, stress PI, CKMB, trial of revascularization procedure, presence of Q wave and WMI were not significantly different between the two groups. Eight of 16 patients (50%) showed LV dilatation on follow-up echocardiography. Three of 3 patients (100%) who did not undergo revascualrization procedure documented LV dilatation. And only 5 (38%) of the remaining 13 patients who underwent revascularization revealed LV dilatation. There was no difference in infarct location between the two groups. By multivariate linear regression analysis in patients only undergoing revascularization, rest perfusion index was the only significant factor. Conclusion: Myocardial perfusion SPECT performed prior to revascularization was useful in prediction of LV dilatation after an AMI. Rest perfusion index on myocardial perfusion plays as a significant predictor of left ventricular dilatation after AMI. And revascularization appears to be a valuable procedure in alleviating LV dilatation after AMI with or without viable myocardium in a limited number of patients studied retrospectively.