• Journal of Korean Academy of Nursing
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• v.25 no.2
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• pp.279-294
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• 1995

The purpose of this study was to determine values and value changes in clinical nurses in clinical situations. A survey was conducted of 200 nurses of one of university hospital in Seoul Korea. This study was conducted between July 1 and July 5, 1994, using the Survey of Interpersonal Values (SIV) developed by L. V. Gordon, and standardized for Korea by Kyung Hye Lee & Eung Yun Hwang. The results of the study were as follows, 1. The clinical nurses surveyed showed Independence(18.32 : 63rd percentile) as their highest value, with Support(14.8 : 62nd percentile) next and then Benevolence(16.28 53rd percentile), Leadership(9.06 : 46th percentile), Conformity(18.15 : 42nd percentile) and Recognition(18.32 : 41s1 percentile) in that order in the area of general values. Using a standardised women's value Indicator, the clinical nurses value orientation was within the 32nd∼69th percentile indicating means found among Korean women in general. 2. Looking at how the values were related to demographics, Leadership was most highly valued among the 30∼34 year olds and least valued among the 25∼29 year olds. Unmarried nurses valued Independence more than married nurses did, and junior college graduate nurses valued Conformity more than baccalaureate graduate nurses did. 3. The study showed that the values of with less than one year (16.00) clinical experience were higher than those who had over 10 years (13.60) clinical experience (p<.05). Therefore clinical experience did not positively influence value orientation for clinical nurses. 4. There was no significant differences in the value of nurses in relation to their workplace, their level of motivation, or their aptitude. The study shows that clinical nurses have similar values compared with ordinary Korean women. This means that professional nurses may not be able to satisfy client needs and also that they do not have satisfaction and a positive attitude regarding the nursing profession. Therefore it is suggested that new strategies and continuing education programs be established to help clinical nurses fomulate higher values.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.113-117
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• 2016

Quantile regression is an efficient method for predicting and estimating the relationship between explanatory variables and percentile points of the response distribution, particularly for extreme percentiles of the distribution. To study the relationship between urbanization and cancer morbidity, we here applied quantile regression. This cross-sectional study was conducted for 9 cancers in 345 cities in 2007 in Iran. Data were obtained from the Ministry of Health and Medical Education and the relationship between urbanization and cancer morbidity was investigated using quantile regression and least square regression. Fitting models were compared using AIC criteria. R (3.0.1) software and the Quantreg package were used for statistical analysis. With the quantile regression model all percentiles for breast, colorectal, prostate, lung and pancreas cancers demonstrated increasing incidence rate with urbanization. The maximum increase for breast cancer was in the 90th percentile (${\beta}$=0.13, p-value<0.001), for colorectal cancer was in the 75th percentile (${\beta}$=0.048, p-value<0.001), for prostate cancer the 95th percentile (${\beta}$=0.55, p-value<0.001), for lung cancer was in 95th percentile (${\beta}$=0.52, p-value=0.006), for pancreas cancer was in 10th percentile (${\beta}$=0.011, p-value<0.001). For gastric, esophageal and skin cancers, with increasing urbanization, the incidence rate was decreased. The maximum decrease for gastric cancer was in the 90th percentile(${\beta}$=0.003, p-value<0.001), for esophageal cancer the 95th (${\beta}$=0.04, p-value=0.4) and for skin cancer also the 95th (${\beta}$=0.145, p-value=0.071). The AIC showed that for upper percentiles, the fitting of quantile regression was better than least square regression. According to the results of this study, the significant impact of urbanization on cancer morbidity requirs more effort and planning by policymakers and administrators in order to reduce risk factors such as pollution in urban areas and ensure proper nutrition recommendations are made.

• Physical Therapy Korea
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• v.20 no.3
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• pp.19-26
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• 2013

The smart-phone has become a necessity for most people. In this study, we determined that using a smart-phone for 20 minutes can cause increased neck and shoulder muscle activities and fatigue. Seventeen healthy male smart-phone users who attended Yonsei University played a smart-phone game for 20 minutes and changes in their bilateral cervical erector spinae and upper trapezius muscle activities and fatigue were measured. To assess muscle activities and fatigue, we used the following variables: the median frequency, the 50th percentile Amplitude probability distribution function (APDF) value (median load), and the discrepancy in the 90th percentile APDF value and the 10th percentile APDF value (APDF range). A paired t-test was used to compare pre-smart-phone-use status with post-smart-phone-use-status. The median frequency of the bilateral cervical erector spinae and the upper trapezius decreased significantly after 20 minutes of smart-phone use (p<.05). In addition, the 50th percentile APDF value of the bilateral cervical erector spinae and the right upper trapezius increased significantly (p<.05). The APDF range of the bilateral cervical erector spinae and the upper trapezius also increased significantly (p<.05). However, the 50th percentile APDF range of the left upper trapezius was not significantly different (p>.05). These findings suggest that using smart-phones for 20 minutes can induce muscle fatigue and increased neck and shoulder muscle activities.

• The Journal of Pediatrics of Korean Medicine
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• v.26 no.2
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• pp.62-71
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• 2012

Objectives The purpose of this study is to analyze factors that enhance growth effect after the administration of Boyangsungjang-Tang (補陽成長湯) to children and adolescents. Methods This clinical study has been carried out with 112 children and adolescents, who visited one University Oriental Medicine Hospital Pediatric department, from January 2009 to December 2010. They were treated on height-growth with Boyangsungjang-Tang (補陽成長湯). We used modified-intend to treat analysis to examine children who had their height and weight records six months after the treatment. We use PASW Statistics 18.0 to analyze what factors (Height percentile, Weight percentile, Age, Birth weight, Frequency of taking Medicine, Period of Treatment) enhanced the growth by using t-test, one-way ANOVA, Pearson's correlation analysis. Results The mean value of the height percentile were significantly increased, $2.83{\pm}10.04$ ($36.61{\pm}27.02$ to $39.44{\pm}26.89$, P=0.004). The height percentile difference has significantly correlated with weight percentile (P<0.001) and height percentile (P<0.05). Weight less than 50 percentile (P<0.05), and treatment period more than 15 months (P<0.05) had significant impact on the height percentile differences. Conclusions If we have treated more than 15 months of Boyangsungjang-Tang (補陽成長湯) to children and adolescents whose weight are less than 50 percentile, we would have expected their height percentile to increase as $5.72{\pm}10.64$.

• The Journal of Pediatrics of Korean Medicine
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• v.21 no.3
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• pp.145-156
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• 2007

Objectives The object of this study is to investigate the characteristics of Ryodoraku score in the Children who visited Department of Pediatrics, Hospital of Oriental Medicinewith Growth treatment as a chief complaint. Methods Subjects were 58 children who visited Department of Pediatrics, Hospital of Oriental Medicine the first time with Growth treatment as a chief complaint. We measured the height and Ryodoraku score, and we also checked bone age from some of them. This study was designed to investigate the characteristics of Ryodoraku score in children with Growth treatment as a chief complaint. Results and Conclusions The results were follows 1. The average value of Ryodoraku score in 58 children was $41.8800{\pm}13.82641$. 2. The value of H1(肺), H5(三焦), H6(大腸), H2(心包), H3(心), F4(膀胱) and F5(膽) had significant statistical differences compared to its total average. 3. The value of F3(腎) had no relationship with Mid-Parental Height(MPH) percentile. 4. The value of F1(脾), F3(腎) and total average was classified by the height percentile values when children visitedand the difference between the predicted height percentile, and it resulted as there were no relationship between those two

• The Journal of Pediatrics of Korean Medicine
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• v.37 no.4
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• pp.1-14
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• 2023

Objectives This study aimed to evaluate the correlation between pediatric weakness scale scores and growth indices. Furthermore, we intended to calculate the cut-off values for diagnosing Kidney Weak Children through growth indices. Methods A total of 193 patients, aged 6 - 12 years, underwent both the pediatric weakness scale and bone age assessment, and the correlations between the pediatric weakness scale and growth indices were analyzed. Moreover, the cut-off values for diagnosing Kidney Weak Children were calculated. Differences in bone age and predicted height between the normal group and Kidney Weak Children, classified according to the calculated cut-off values, were analyzed. Results The weakness of the Shin or kidney system was significantly correlated with the height percentile, weight percentile, differences in current height percentile and mid parental height percentile, differences in predicted height and mid parental height, and differences in bone age and chronological age. When the criteria for diagnosing Kidney Weak Children is set at "height percentile of ≤25% and weight percentile of ≤25%", the sensitivity and specificity of the cut-off value were maximized. The cut-off values for weakness of the Shin or kidney system were 9 in children aged 6 - 9 years and 10 in children aged 10 - 12 years. Conclusions To diagnose Kidney Weak Children, the cut-off values of weakness of the Shin or kidney system were 9 in children aged 6 - 9 years and 10 in children aged 10 - 12 years.

• Journal of the Korean Data and Information Science Society
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• v.6 no.1
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• pp.73-83
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• 1995

We construct the approximate bootstrap confidence intervals for reliability (R) when the distributions of strength and stress are both normal. Also we propose percentile, bias correct (BC), bias correct acceleration (BCa), and percentile-t intervals for R. We compare with the accuracy of the proposed bootstrap confidence intervals and classical confidence interval based on asymptotic normal distribution through Monte Carlo simulation. Results indicate that the confidence intervals by bootstrap method work better than classical confidence interval. In particular, confidence intervals by BC and BCa method work well for small sample and/or large value of true reliability.

• Journal of the Earthquake Engineering Society of Korea
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• v.15 no.2
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• pp.43-51
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• 2011

Probabilistic seismic hazard analysis (PSHA), which can effectively apply inevitable uncertainties in seismic data, considers a number of seismotectonic models and attenuation equations. The calculated hazard by PSHA is generally a value dependent on peak ground acceleration (PGA) and expresses the value as an annual exceedance probability. To represent the uncertainty range of a hazard which has occurred using various seismic data, a hazard curve figure shows both a mean curve and percentile curves (15, 50, and 85). The percentile performs an important role in that it indicates the uncertainty range of the calculated hazard, could be calculated using various methods by the relation of the weight and hazard. This study using the weight accumulation method, the weighted hazard method, the maximum likelihood method, and the moment method, has calculated the percentile of the computed hazard by PSHA on the Shinuljin 1, 2 site. The calculated percentile using the weight accumulation method, the weighted hazard method, and the maximum likelihood method, have similar trends and represent the range of all computed hazards by PSHA. The calculated percentile using the moment method effectively showed the range of hazards at the source which includes a site. This study suggests the moment method as effective percentile calculation method considering the almost same mean hazard for the seismotectonic model and a source which includes a site.

• Investigative Magnetic Resonance Imaging
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• v.26 no.2
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• pp.104-116
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• 2022

The purpose of this study is to systematically determine an optimal percentile cut-off in histogram analysis for calculating the mean parameters obtained from a non-Gaussian continuous-time random-walk (CTRW) diffusion model for differentiating individual glioma grades. This retrospective study included 90 patients with histopathologically proven gliomas (42 grade II, 19 grade III, and 29 grade IV). We performed diffusion-weighted imaging using 17 b-values (0-4000 s/mm²) at 3T, and analyzed the images with the CTRW model to produce an anomalous diffusion coefficient (D_m) along with temporal (𝛼) and spatial (𝛽) diffusion heterogeneity parameters. Given the tumor ROIs, we created a histogram of each parameter; computed the P-values (using a Student's t-test) for the statistical differences in the mean D_m, 𝛼, or 𝛽 for differentiating grade II vs. grade III gliomas and grade III vs. grade IV gliomas at different percentiles (1% to 100%); and selected the highest percentile with P < 0.05 as the optimal percentile. We used the mean parameter values calculated from the optimal percentile cut-offs to do a receiver operating characteristic (ROC) analysis based on individual parameters or their combinations. We compared the results with those obtained by averaging data over the entire region of interest (i.e., 100th percentile). We found the optimal percentiles for D_m, 𝛼, and 𝛽 to be 68%, 75%, and 100% for differentiating grade II vs. III and 58%, 19%, and 100% for differentiating grade III vs. IV gliomas, respectively. The optimal percentile cut-offs outperformed the entire-ROI-based analysis in sensitivity (0.761 vs. 0.690), specificity (0.578 vs. 0.526), accuracy (0.704 vs. 0.639), and AUC (0.671 vs. 0.599) for grade II vs. III differentiations and in sensitivity (0.789 vs. 0.578) and AUC (0.637 vs. 0.620) for grade III vs. IV differentiations, respectively. Percentile-based histogram analysis, coupled with the multi-parametric approach enabled by the CTRW diffusion model using high b-values, can improve glioma grading.

• Environmental and Resource Economics Review
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• v.13 no.1
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• pp.49-82
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• 2004

The study aimed to evaluate cancer damage cost due to risk from benzene inhalation. We performed health risk assessment based on US EPA guideline to estimate annual population risk in Ulsan metropolitan city. Also, we estimated a willingness-to-pay amount for reducing a cancer mortality rate to evaluate a value of statistical life. We combined the annual population risk and the value of statistical life to calculate the cancer damage cost. In the health risk assessment, we applied the benzene unit risk ($2.2{\times}10^{-6}{\sim}7.8{\times}10^{-6}$) in the US EPA'S Integrated Risk Information System to assess the annual population risk. Average concentration of benzene in ambient air is $7.88{\mu}g/m^3$(min: 1.16~max: $23.32{\mu}g/m^3$). We targeted an exposure population of 516,641 persons who aged over 30 years old. Using a Monte-Carlo simulation for uncertainty analysis, we evaluated that the population risk of benzene during ten years in Ulsan city is 2.90 persons (5 percentile: 0.32~95 percentile: 9.11persons). And the monthly average WTP for 5/1,000 cancer mortality reduction during ten years is 14,852 Won(95% C.I: 13,135~16,794 Won) and the implied VSL is 36 million Won(95% C.I: 30~40 million Won). Cancer damage cost due to risk from benzene inhalation during 10 years in Ulsan city is about 104 million Won(5 percentile: 13~95 percentile: 328 million Won). Health benefit cost to reduce a cancer mortality risk of benzene is about 50 million Won is Ulsan metropolitann city. But, it is very important that this cost is not for all health damage cost of cancer mortality in some area. We just recommended a model for evaluating a cancer risk reduction, so we must re-evaluate an integrated application of total VOCs damage cost including benzene.