• Structural Engineering and Mechanics
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• 제61권5호
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• pp.605-615
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• 2017

Shear failure of reinforced concrete (RC) beams is a major concern for structural engineers. It has been shown through various studies that the shear strength and ductility of RC beams can be improved by adding steel fibers to the concrete. An accurate model predicting the shear strength of steel fiber reinforced concrete (SFRC) beams will help SFRC to become widely used. An artificial neural network (ANN) model consisting of an input layer, a hidden layer of six neurons and an output layer was developed to predict the shear strength of SFRC slender beams without stirrups, where the input parameters are concrete compressive strength, tensile reinforcement ratio, shear span-to-depth ratio, effective depth, volume fraction of fibers, aspect ratio of fibers and fiber bond factor, and the output is an estimate of shear strength. It is shown that the model is superior to fourteen equations proposed by various researchers in predicting the shear strength of SFRC beams considered in this study and it is verified through a parametric study that the model has a good generalization capability.

• 대한의용생체공학회:의공학회지
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• 제27권2호
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• pp.47-52
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• 2006

The purpose of this study was to predict successful defibrillation in ventricular fibrillation using parameters extracted by wave analysis method and neuro-fuzzy. Total 15 dogs were tested for predicting successful defibrillation. Feature parameters were extracted for return of spontaneous circulation (ROSC) and non-ROSC by wave analysis method, and these parameters are an irregularity factor, spectral moments, mean power of level-crossing spectrum, and mean of alpha-significant value. Additionally, two parameters by analyzing method of frequency were extracted into a mean of power spectrum and a mean frequency. Then extracted parameters were analyzed in which parameters result to have high performance of discriminating ROSC and non-ROSC by a statistical method of t-test. The average of sensitivity and specificity were 62.5% and 75.0%, respectively. The average of positive predictive factor and negative predictive factor were 61.2% and 75.8%, respectively.

• 한국연초학회지
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• 제27권2호
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• pp.163-170
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• 2005

A theoretical model for predicting the capability curve of cellulose acetate filter is derived. The pressure drop is expressed as a function of the filter dimensions, the tow fiber characteristics, the filter weight, the fluid flow rate, and a filter fiber factor. Where, the filter fiber factor is affected by the distribution of the tow fibers within the filter, the relative orientations of the tow fibers, and their cross-sectional shapes. The minimum and maximum fraction of solids in capability curves determined from experimental data. Also, the filter fiber factor is expressed as a function of the filter length, tow fiber length, and tow fiber diameter. Capability curves predicted by the suggested model in this work correspond well with capability curves by experimental data.

• Journal of Acupuncture Research
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• 제30권4호
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• pp.115-123
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• 2013

Objectives : This study was performed to confirm the usefulness of EMG and early-performed ENoG as predicting factor for facial palsy by clinical outcome. Methods : We gathered patients who visited the Facial Palsy Center in Kyung Hee University Hospital at Gangdong between January 2010 and September 2012. We used inclusion/exclusion criteria and reviewed 231 patients' medical records including gender, age, HB grade and EMG & ENoG axonal loss. We compared the relation between EMG axonal loss and improvement degree at 4 & 6 weeks after treatment, and between ENoG axonal loss at 3-5 & 6-8 days after onset and EMG axnoal loss using regression analysis. Results : Each analysis had statistical significance, but EMG & improvement degree at 6 weeks after treatment showed statistically higher correlation than that at 4 weeks after treatment, and ENoG at 6~8 days after onset & EMG showed statistically higher correlation than that at 3~5 day after onset. Conclusions : We could get the evidence of the validity of EMG and early-performed ENoG as predicting factor for facial palsy based on collaborative treatment between Korean and western medicine.

• 가정과삶의질연구
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• 제24권5호
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• pp.161-174
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• 2006

This study examined different individual and parental factors that affect children's achievement motivation. For an analysis, perceived competence, intrinsic locus of control were included in individual variables. For parental variables, parental support and achievement pressure and marital conflict were examined. The sample consisted of 561 fifth and sixth grade children. Statistics and methods used for the data analysis were Cronbach's alpha, Factor analysis, frequency, percentage, Pearson's correlation, and Hierarchical Regression. Several major results were found from the analysis. First, girl's achievement motivation was higher than boys. No age difference was found between fifth and sixth grade. Second, boy's and girl's achievement motivation had a positive correlation with perceived competence, intrinsic locus of control, parental support and achievement pressure but a negative correlation with parental marital conflict. Third, important variables predicting boy's and girl's achievement motivation were perceived academic competence, parental achievement pressure and perceived social competence. Important variables predicting boy's individual and social oriented achievement motivation were perceived academic competence and parental achievement pressure. On the other hand, important variables predicting girl's individual oriented achievement motivation were perceived social competence, perceived academic competence, intrinsic locus of control and parental achievement pressure. Important variables predicting girl's social oriented achievement motivation were parental achievement pressure, perceived academic competence and mother's support.

• Nuclear Engineering and Technology
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• 제47권1호
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• pp.135-138
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• 2015

A new correlation predicting the idealized critical mass-flow rates of water for subcooled and saturated liquid water including two-phase water flow was developed for a wide range of upstream stagnation pressures (e.g., 0.5-20.0 MPa). A choking correction factor dependent on the upstream stagnation pressure and subcooled temperature was introduced into a new correlation, and its values were suggested to satisfy the idealized nozzle data within 10% error ranges. The suggested correlation will be instructive and helpful for related studies and/or engineering works.

• Journal of Gastric Cancer
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• 제11권3호
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• pp.173-179
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• 2011

Purpose: It is difficult to obtain biopsies from gastrointestinal stromal tumors (GISTs) prior to surgery because GISTs are submucoal tumors, despite being the most common nonepithelial neoplasms of the gastrointestinal tract. Unlike anatomic imaging techniques, PET-CT, which is a molecular imaging tool, can be a useful technique for assessing tumor activity and predicting the malignant potential of certain tumors. Thus, we aimed to evaluate the usefulness of PET-CT as a pre-operative prognostic factor for GISTs by analyzing the correlation between the existing post-operative prognostic factors and the maximum SUV uptake (SUVmax) of pre-operative 18F-fluoro-2-deoxyglucose (FDG) PET-CT. Materials and Methods: The study was conducted on 26 patients who were diagnosed with gastric GISTs and underwent surgery after being examined with pre-operative FDG PET-CT. An analysis of the correlation bewteen (i) NIH risk classification and the Ki-67 proliferation index, which are post-operative prognostic factors, and (ii) the SUVmax of PET-CT, which is a pre-operative prognostic factor, was performed. Results: There were significant correlations between (i) SUVmax and (ii) Ki-67 index, tumor size, mitotic count, and NIH risk group (r=0.854, 0.888, 0.791, and 0.756, respectively). The optimal cut-off value for SUVmax was 3.94 between "low-risk malignancy" and "high-risk malignancy" groups. The sensitivity and specificity of SUVmax for predicting the risk of malignancy were 85.7% and 94.7%, respectively. Conclusions: The SUVmax of PET-CT is associated with Ki-67 index, tumor size, mitotic count, and NIH classification. Therefore, it is believed that PET-CT is a relatively safe, non-invasive diagnostic tool for assessing malignant potential pre-operatively.

• Asian Pacific Journal of Cancer Prevention
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• 제14권3호
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• pp.1803-1806
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• 2013

Purpose: Carbohydrate antigen (CA) 242 is inversely related to prognosis in many cancers. However, few data regarding CA 242 in esophageal cancer (EC) are available. The aim of this study was to determine the prognostic value of CA 242 and propose an optimum cut-off point in predicting survival difference in patients with esophageal squamous cell carcinoma (ESCC). Methods: A retrospective analysis was conducted of 192 cases. A receiver operating characteristic (ROC) curve for survival prediction was plotted to verify the optimum cuf-off point. Univariate and multivariate analyses were performed to evaluate prognostic parameters for survival. Results: The positive rate for CA 242 was 7.3% (14/192). The ROC curve for survival prediction gave an optimum cut-off of 2.15 (U/ml). Patients with CA 242 ${\leq}$ 2.15 U/ml had significantly better 5-year survival than patients with CA 242 >2.15 U/ml (45.4% versus 22.6%; P=0.003). Multivariate analysis showed that differentiation (P=0.033), CA 242 (P=0.017), T grade (P=0.004) and N staging (P<0.001) were independent prognostic factors. Conclusions: Preoperative CA 242 is a predictive factor for long-term survival in ESCC, especially in nodal-negative patients. We conclude that 2.15 U/ml may be the optimum cuf-off point for CA 242 in predicting survival in ESCC.

• 한국보건간호학회지
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• 제27권3호
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• pp.564-577
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• 2013

Purpose: The purpose of this study was to address differences between mental health according to sasang constitution and ego state among college students. Methods: Data for this cross-sectional study were collected by administration of questionnaires eliciting Woo's ego state scale, QSCC II for the sasang constitution classification, and SCL-90-R for mental health to 393 college students. Analysis was performed using IBM SPSS (version 19.0). Results: The Free Child ego and Adapted Child ego differed significantly among sasang types. The ego-gram pattern of So-eum type exhibited the N pattern (Nurturing Parent (NP)>Adapted Child (AC)>Adult (A)>Free Child (FC)>Critical Parent (CP), AC-high type), however, the ego-gram pattern of other constitution types showed the M pattern (NP>FC>A>AC>CP). No statistically significant differences in mental health were observed among sasang types, however, among ego states, AC and CP showed negative correlation with mental health status. Between So-eum type and So-yang type, AC was the factor predicting mental health. Between Tae-eum type and undefined type, AC and CP were factors predicting mental health. Conclusion: These findings suggest that sasang constitution could be an important factor in understanding the ego state and mental health status. We conclude that sasang constitution should be considered in interpretation of mental health status presentation in clients.

• 기본간호학회지
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• 제20권3호
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• pp.230-238
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• 2013

Purpose: This study was done to identify the relationship among bone mineral density (BMD), body composition and osteoporosis self-efficacy and to identify predictors of BMD in female nursing students. Method: Participants were 154 nursing students. Osteoporosis self-efficacy was determined by a self-report questionnaire. BMD was measured by ultrasound bone densitometry and body composition by a body composition analyzer. Data were collected between April 1 and 27, 2013 and analyzed using descriptive statistics, ANOVA, Scheff$\acute{e}$ test, Pearson correlation coefficient, and multiple regression with SPSS 18.0. Results: Mean BMD at the calcaneus site was $0.58{\pm}1.31$ (T-score). Incidence of osteopenia was 11.7%. Percentage of body fat (PBF)-defined obesity had higher prevalence than body mass index (BMI)-defined obesity. BMD had significant positive correlations with skeletal muscle mass (r=.226, p=.005) and fat free mass (r=.225, p=.005). The factor predicting BMD was skeletal muscle mass with 4.7% of explained variance. Conclusion: Study results indicate that of body composition components, skeletal muscle mass is the prime predicting factor for BMD. Thus to promote healthy bones, it is important to strengthen the muscles using a program, based on balanced development of all muscles.