• Archives of Plastic Surgery
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• v.35 no.3
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• pp.279-282
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• 2008

Purpose: It is known that the chronic absence of unilateral breast can cause spine curvature. The artificial breast manufactures take up the position of that possibility. This study was designed to evaluate the influence of the mastectomy on the spine and appearance of scoliosis among women who wanted delayed breast reconstruction. ted delayed breast reconstruction. Methods: The study population consisted of 47 women who underwent delayed breast reconstruction at our Department of Plastic Surgery from April 2001 to May 2007. The whole spine anteroposterior and lateral X-ray was taken to evaluate the Cobb's angle. As a general rule a Cobb angle of 10 is regarded as a minimum angulation to define scoliosis. We evaluated Cobb's angle and drew a correlation between the duration of the mastectomy state and the weight of the mastectomy specimen. Results: There were no family history of scoliosis, and no numbness or weakness in the upper or lower extremities. They had normal reflex and experienced no tenderness of the perispinal area. The Spearman Correlation Coefficient between Cobb's angle and the period that took time from the mastectomy to the X-rays and analysis between Cobb's angle and specimen weight was 0.032 and-0.115. there were no correlation between Cobb's angle and time, or between Cobb's angle and specimen weight. Conclusion: lthough the patients attribute their back pain and distorted posture to having received an one-sided mastectomy, it is unlikely that one-sided mastectomy causes spinal deformity and scoliosis.

• Korean Journal of Health Education and Promotion
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• v.27 no.5
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• pp.1-14
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• 2010

Objectives: This study is an explorative study for developing an instrument to measure habitual physical activity level of school-aged children. Methods: HPAQ-S consists of 41 items and a self-reported 5-day recall instrument designed to assess habitual physical activity level for school-aged children. For the validity and reliability test, a sample consisted of 28 children, aged 10-11 years old. Results: 41 question items showed an acceptable internal consistency (cronbach's alpha=.89). A significant positive correlation with the pedometer results (r=.69, p<.001) and with Borg's questionnaire (r=.76, p<.001) support the validity of HPAQ-S. Conclusion: HPAQ-S may be more useful for measuring habitual physical activity level of elementary school-aged children in large populations.

• Journal of Korean Public Health Nursing
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• v.28 no.3
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• pp.495-508
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• 2014

Purpose: This study was conducted in order to evaluate the reliability, validity, sensitivity, and specificity of the Short Form of Bobath Memorial Hospital Fall Risk Assessment Scale (BMFRAS-SF). Methods: A validation study was conducted on 207 elderly patients aged over 65 who were admitted to Bobath Memorial Hospital. Fall risk scores of BMFRAS, composed of eight subscales (age, fall history, physical activity, consciousness level, communication, fall risk factors, underlying disease, and medications) were assessed from the electronic medical record. BMFRAS-SF was derived from eight subscales of the BMFRAS representing the significance between fallers and non-fallers (fall history, physical activity, fall risk factors, underlying disease, and medications). Internal consistency reliability and interrater reliability were assessed by Cronbach's alpha and kappa coefficient. Validity was assessed by Spearman correlation analysis, factor analysis. Sensitivity, specificity, positive predictive and negative predictive values, and a receiver-operating characteristic curve (ROC) were generated. Results: Fallers had significantly higher risk scores than non-fallers in fall history, physical activity, fall risk factors, underlying disease, and medication scales. The BMFRAS-SF demonstrated acceptable Cronbach's alpha (.706) and kappa coefficients of .95. The BMFRAS-SF subscales showed good convergent validity and construct validity. The BMFRAS-SF presented good sensitivity(86.7%), specificity(67.9%), positive predictive value(42.9%) and good negative predictive value(94.8%) at a cut-off score of 5. Areas under the ROC curves were .860 for the BMFRAS and .861 for the BMFRAS-SF. Conclusion: The BMFRAS-SF was proved to be reliable and valid. It could be used for time-saving assessment and evaluation of the high risks for falls in clinical practice settings.

• The Journal of Korean Physical Therapy
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• v.25 no.5
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• pp.282-287
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• 2013

Purpose: The purpose of this study was to investigate the characteristics of patients with Chronic Low Back Pain (CLBP) in disability, pain, and cognition, and to compare those characteristics to the ICF concept analyzing the association between World Health Organization Disability Assessment Schedule 2.0: 12 item-interviewer version (WHODAS 2.0) and those of scales i.e. Oswestry Disability Index (ODI), the Short-Form McGill Pain Questionnaire (SFMPQ), and the Fear avoidance & belief questionnaire (FABQ). Methods: A total of 91 patients with CLBP were invited to participate in the study. Physical therapists interviewed all participants using SFMPQ, FABQ, ODI, and WHODAS 2.0 for collection of information on pain, cognition, and functional level data. Subjects scored their disability, pain, and cognition related to LBP using WHODAS 2.0, ODI, SFMPQ, and FABQ. Data analysis was performed using the Spearman correlation coefficient. Results: A positive relationship was observed between WHODAS 2.0 and each scale indicating that lower back specific disability components could be related to the ICF concept in ODI (r=0.77). Pain intensity and pain oriented movement were found to be related to general functioning in patients with CLBP (r=0.52, r=0.55, respectively). Conclusion: It can be suggested that the specific disability scale for LBP, ODI can be related to the ICF concept, WHODAS 2.0, and it may be a useful measure for patients with CLBP.

• Korean Journal of Community Nutrition
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• v.2 no.3
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• pp.294-304
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• 1997

The purpose of this study was to explore the relationship between dietary behavior and the nutrient intake status in the youth of rural areas, based on their personal characters such as their sex, age, family type, number of family members, mother's age, occupation, and school career. This study was made by use of a self-administrated questionnaire with a 24-hour recall for 5days as an instrument with 439 randomly selected students. Statistical methods applied to analyze the data were frequency, percent, Willcoxon Rank-sum test, Kruskal-wallis test, x2-test by contingence table, and Spearman's correlation coefficient in non parametric statistical cases. Some of the interesting results are as follows : 1) The correlation between sex and breakfast is highly significant. That is, over 80% of male students had breakfast every day, whereas only about 60% of female students had breakfast every day. Bad table manners and some other problems are insignificant with respect to the personal characters in the relations between the personal characters and eating behaviors. However, the regularity of every meal, the frequency of having meals with other family members, and the frequency of meals eaten out and snacks show significant differences. 2) The mother's occupation does not have any influence on the nutrient intake of their students when the relationship between personal characters and nutrient intake was analysed. On the other hand sex, the mother's school career, the numbers of family members, the type of family, and the income of the family showed significant differences nutrient intakes. 3) The regularity and the frequency of having meals, meals eaten out with their family members, and the table manners during meals showed significant differences in the intake of nutrient elements such as calorie, protein, fat, fiber, calcium, iron, phosphorus, vitamin B1, vitamin B2, niacin and vitamin C. However some consideration during meals and problems in eating habit are insignificant with regard to nutrient intake.

• Computers and Concrete
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• v.19 no.1
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• pp.59-68
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• 2017

This study focused on modeling the behavior of the compressive stress using the average strain and ultrasonic test results in concrete. Feed-forward backpropagation artificial neural network (ANN) models were used to compare four types of concrete mixtures with varying water cement ratio (WC), ordinary concrete (ORC) and concrete with short steel fiber-reinforcement (FRC). Sixteen (16) $150mm{\times}150mm{\times}150mm$ concrete cubes were used; each contained eighteen (18) data sets. Ultrasonic test with pitch-catch configuration was conducted at each loading state to record linear and nonlinear test response with multiple step loads. Statistical Spearman's rank correlation was used to reduce the input parameters. Different types of concrete produced similar top five input parameters that had high correlation to compressive stress: average strain (${\varepsilon}$), fundamental harmonic amplitude (A1), $2^{nd}$ harmonic amplitude (A2), $3^{rd}$ harmonic amplitude (A3), and peak to peak amplitude (PPA). Twenty-eight ANN models were trained, validated and tested. A model was chosen for each WC with the highest Pearson correlation coefficient (R) in testing, and the soundness of the behavior for the input parameters in relation to the compressive stress. The ANN model showed increasing WC produced delayed response to stress at initial stages, abruptly responding after 40%. This was due to the presence of more voids for high water cement ratio that activated Contact Acoustic Nonlinearity (CAN) at the latter stage of the loading path. FRC showed slow response to stress than ORC, indicating the resistance of short steel fiber that delayed stress increase against the loading path.

• Women's Health Nursing
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• v.8 no.3
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• pp.446-458
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• 2002

목적: 현 연구는 6-12주된 첫 아기를 둔 여성 152명을 대상으로 첫 임신기간 동안 참여했던 정규와 비정규 학습활동의 정도와 범위를 알아보기 위해 시행된 것이다. 설계와 방법: 연구를 위한 정보수집을 위해 다측면의 자가선택 연구도구를 사용하였고 4가지 구성개념을 측정하였다: 독립변수로 학습에 대한 성향, 학습을 위한 사회적 지지, 임신에 대한 기대, 그리고 종속변수로서 첫 임신 동안 정규와 비정규 학습활동의 참여정도. 또한 일반적 특성으로는 6가지 변수(연령, 인종, 결혼상태, 교육정도, 직업유무, 가족의 수입)를 측정하였다. 3개의 독립변수와 1개의 종속변수사이의 이변량관계를 측정하기 위해 단순회귀분석을 시행하였다. 일반적 특성과 종속변수와의 관계는 t-Test, Point Biserial, Spearman Correlation Coefficients를 이용해 조사하였고 임신 중 학습을 위한 설명적 모델을 유도하기 위해 다중회귀분석을 사용하였다. 결과: 연구결과 3가지 이변량관계가 모두 통계적으로 유의한 것으로 나타났다: 학습에 대한 성향($r^2$=.17, p=.001), 사회적 지지($r^2$=.27, p=.0001), 그리고 기대($r^2$=.17, p=.0001). 교육정도와 결혼상태는 강한 설명력을 가졌고 연령, 인종, 직업유무와 가족의 수입은 통계적으로 유의하였으나 설명력이 약한 변수들이었다. 임상과의 관계: 이러한 결과는 임신 동안 여성의 학습욕구를 만족시키기를 바라는 성인대상의 교육자들 만큼이나 건강관리제공자들을 위한 실제적인 관련성을 보여주고 있으며 또한 중요한 생활사인 임신 동안 자발적인 학습을 하려는 성인을 이해하기 위한 이론적으로 유용한 모델을 제공한다.

• Women's Health Nursing
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• v.10 no.2
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• pp.99-108
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• 2004

Purpose: This study was to serve the sexual health education of the hysterectomy patients and to get the basic data of the nursing intervention on sexual health education. Sexual health education for the patients is an independent function as well as a professional responsibility of nurses. Method: The subjects were composed of 108 post-op patients who had undergone doing a hysterectomy 5 to 10 days previously and 101 nurses at OBGY hospitals. For data analysis, the study executed a frequency, mean, standard deviation, t-test, ANOVA, Duncan Multiple Range test and Spearman's rho correlation coefficient, in accordance with the purpose of the study using SPSS Win 10.0. Result: Mean score of the needs degree of sexual health education was 3.30 point. The need for education was highest in the sexual health promotion with education related to sexual interaction the lowest. Mean score of the nurses' teaching performance degree of sexual health education was 1.80 point. The nurses' teaching performance was highest in the sexual health promotion. There exist significant correlations between the degree of patients' educational needs and the degree of nurses' teaching performance on physiosexual(p=-.667, p<.05), psychosexual(p=.762, p<.05), sexual interaction(p=.667, p<.05) respectively. There was no significant difference on sexual health promotion(p=.359, p>.05). Conclusion: The degree of sexual health education needs of hysterectomy patients was very high. Therefore, continuous nursing education program should be developed and provided for the promotion of the performance of sexual health education as the nursing professional role.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.4
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• pp.19-27
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• 2012

The objective of this study was to test the pollutant reduction effect by the silt fence and vegetated ridge through field monitoring. The experiment plots were established with two replication and three treatments. Each plot was designed with 5 m width, 22 m length, and 3 % slope. Flumes with the floating type stage gages were installed at the outlet of each plot to monitor the runoff. For a rainfall monitoring, tipping bucket rain gage was installed within the experiment site. Cultivated crops were spring daikon and autumn chinese cabbage. Analysis of variance (ANOVA) indicated that the water quality concentration from three experiment plots were not significantly different in 5 % of significant level. The monitoring results showed that the average pollution loads reduced by silt fence compared to control were SS 75.33 %, TN 40.87 %, TP 56.58 %, BOD 52.12 %, COD 36.07 %, TOC 34.99 %; by vegetated ridge compard to control were SS 65.27 %, TN 81.80 %, TP 54.26 %, BOD 67.09 %, COD 46.55 %, TOC 43.30 %. Analysis of Spearman's rank correlation coefficient showed that BOD-SS and SS-Turbidity were highly related at the silt fence and vegetated ridge plots. In all plots, SS-Turbidity and TP-TN relations were relatively high. The monitoring results showed that the silt fence and vegetated ridge were effect method to reduce the pollutant loads from the field runoff. Long-term monitoring is required to obtain more quantitative reduction effect for diverse crops and to increase the reliability of results.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.8
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• pp.393-400
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• 2016

Recently, there have been various researches on efficient and automatic analysis on urban environment methods that utilize the computer vision and machine learning technology. Among many new analyses, urban safety analysis has received a major attention. In order to predict more accurately on safety score and reflect the human visual perception, it is necessary to consider the generic and local information that are most important to human perception. In this paper, we use Double-column Convolutional Neural network consisting of generic and local columns for the prediction of urban safety. The input of generic and local column used re-sized and random cropped images from original images, respectively. In addition, a new learning method is proposed to solve the problem of over-fitting in a particular column in the learning process. For the performance comparison of our Double-column Convolutional Neural Network, we compare two Support Vector Regression and three Convolutional Neural Network models using Root Mean Square Error and correlation analysis. Our experimental results demonstrate that our Double-column Convolutional Neural Network model show the best performance with Root Mean Square Error of 0.7432 and Pearson/Spearman correlation coefficient of 0.853/0.840.