KSCE Journal of Civil and Environmental Engineering Research
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v.28
no.2B
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pp.237-248
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2008
Precipitation variability in Korea is mainly influenced by climate circulation such as sea surface temperature, not a local convection. Therefore, this study investigates relationship between monthly precipitation of 61 station observed by Korea Meteorological Administration and global sea surface temperatures (SSTs). The main components of monthly precipitation in Korea are extracted by a method which consists of the principal analysis combined with the cluster analysis, to examine the correlation between monthly rainfalls and SSTs. The relationships between main components of monthly precipitation and SSTs exists in Pacific Ocean. At the result of Wavelet Transform analysis, The 2-4 year band have a strong wavelet power spectrum and the low frequency. the correlation coefficient between low frequency components of monthly rainfalls and SSTs calculated bigger then correlation coefficient between main components and SSTs. Hence, these results propose a prediction possibility of monthly precipitations using the varition of SSTs.
In this paper, the correlation which is at work between affecting factors and interpersonal relationships' dimension depend on developmental level has been studied to search for clues about how to develop the online based interpersonal relationships -the fundamental aims of SNS related services- efficiently. People who'd ever entered into a relation through the 'online-based generated relationship' by SNS were divided into two groups on the development level. They were conducted a survey, and the results were derived using PLS statistics. As the result, 7 kinds of factors as social attraction, physical attraction, reciprocity, content quality, coexistence perception, information provision and similarity had an impact on the initial level of relationships, and 6 kinds of factors as social attraction, physical attraction, reciprocity, content quality, web appearance and coexistence perception had an impact on the developed level of relationships. This study could be utilized for the service design for facilitating interpersonal relationships efficiently by their level of development.
Relationships between red ceil volume $(^{51}Cr-cell)$, total blood volume (red cell volume divided by hematocrit ratio), and extracellular fluid volume (SCN distribution space) and body weight (ranging between 73 and 384 grams) or lean body mass were studied in 59 nembutalized rats. Lean body mass was determined by means of underwater weighing method on rats clipped and eviscerated. There were positive correlations between body weight or lean body mass and the absolute values (in milliliters) of body fluid volumes. Body fluid volumes expressed on the body weight or lean body mass basis, however, showed negative correlations between body weight (grams) or lean body weight (grams) with one exception. Red cell volume expressed as % lean body mass showed a positive correlation with lean body mass. The other results are summarized as follows: 1. Body density of rats was 1.0561 $(range:\;1.0123{\sim}1.0781)$ and 19.8% body weight of total body fat was obtained. The mean value of lean body mass was 80.2% body weight 2. The correlation between body weight and lean body mass was high, namely, coefficient of correlation was r=.99. 3. The correlation between the absolute value of red cell volume (ml) and body weight showed a high correlation, namely, r= 92 and between the lean body mass coefficient of correlation was r=.93. On a weight basis, red cell volume was 2.67 ml/100 gm body weight or 3.48 ml/100 gm lean body mass. The coefficient of correlation between body weight (grams) and red cell volume (% body weight) was r=-. 30. The coefficient of correlation between lean body mass (grams) and red cell volume (% lean body mass) was r=. 50. Thus, the following regression equation was obtained. Red cell volume (% lean body mass)=. 00243 Lean body mass (gm)+3. 12. 4. Total blood volume was 6.06% body weight or 7.83% lean body mass. The correlation between these blood volume values and body weight or lean body mass were negative, namely, r= -.43 and r=-.42 respectively. 5. Extracellular volume (SCN space) was 30.0% body weight or 37.2% lean body mass. These percentage values showed negative correlations between body weight or lean body mass and coefficients of correlation were r=-.40 and r=-.54 respectively. 6. The rate of increase in body weight or lean body mass is accompanied by a smaller rate of increase in blood volume and extracellular fluid volume. The rate of increase in red ceil volume paralled that of lean body mass.
This study was conducted to find out the coefficient relationships between intensity values image processing and pollution density of slurries. Slurry images were obtained from the image processing system using personnel computer and CCD-camera. Software, written in Visual $c^{++}$, combined the functions of the image capture, image processing and image analysis. The data of image processing for slurries were analyzed by the method of regression analysis. The results are as follows. 1. Red(R)-values among image processing data were obtained the highest correlation coefficient 0.9213 for detecting COD. Also, green(G)-value were obtained the highest correlation coefficient 0.9019 fur detecting BOD. Blue(B)-value could not find significant values to detect the pollution resources density. 2. Hue(H)-values among image processing data were obtained the highest correlation coefficient 0.9466 for detecting BOD. This fact could be used in detecting BOD 3. Green(G)-value, GRAY-value, Hue(H)-value, Saturation(5)-value and Intensity(I)-value were the correlation coefficient more than 0.8 for BOD. Hue(H)-value was higher correlation coefficient than any other value. It was possible to detect pollution density of slurries by using the image processing system. 4. Red(R)-value, GRAY-value and Saturation(5)-value were obtained the correlation coefficient more than 0.8 for detecting COD. a-value had the highest correlation coefficient Among these values. It was possible to detect density indirectly by using the image processing system. 5. SS-density were obtained the correlation coefficient less than 0.8 by using the image processing system. The density of $NH_4$-N and $NO_3$-N were obtained correlation coefficient less than 0.2.
A sample of Italian manufacturing companies was selected in order to verify the abilities and effects (relationships) of the management factors human resources, leadership and strategic planning on company performance. The Partial Least Squares (PLS) estimation method was used for analyzing the data collected, where the relationships between the management factors and performance were formalized by a Structural Equation Model (SEM). The analysis of the survey data showed unexpected result regarding the non significant direct relationship between Leadership and Performance. The effect of Leadership is obtained by an indirect relationship through Human Resources. The combination of Leadership and Human Resources has hence been identified as the management factors which have the highest impact on the performance of Italian industrial companies. Another interesting and unexpected result was that there was no significant impact of Strategic Planning on Performance. It seems that the leaders of Italian industrial companies have not understood that good strategic planning is a necessary condition for achieving excellence. So another improvement area is in fact Strategic Planning. This area should have the highest priority of any top management team and the focus should include how to establish a strong relationship between strategic planning and performance. No correlation between strategic planning and performance is a strong indication that something is wrong. It is not enough that Leadership is doing Strategic Planning-Leadership is also about studying and follow up on results in order to assure impacts on performance. This link seems to be missing in Italian industrial companies.
The purposes of this study were to classify the family types based on the intra system dynamics and to examine sociodemographic backgrounds and the life satisfaction of these families. The data were collected by means of questionnaire distributed to a stratified sample of 544 housewives in Seoul who lived with housbands and children. The questionnaire included FACES II and III Communication Scale managerial behavior scale and life satisfaction Scale. Frequency percentile mean correlation factor analysis cluster analysis one-way ANOVA with scheffe test and chi-square test were used to analyze the data. This study had resulted in four major findings. The first was that highly positive relationships were found among four intra system dynamics elements. The first was that highly positive relationships were found among four intra system dynamics elements. The second finding was that families were clustered by four types named personal-oriented enervated dynamic and managerial-orien ed family. The third finding was that the four types of family were influenced by education level and job of husbands and family income. The last one was that the differences in life satisfaction were found among four types of family. The housewives of dynamic family type showed the highest level of satisfaction whereas the lowest level of life satisfaction was found among housewives of enervated family type. The recommendations for future esearch and better ways to educate and counsel families were suggested.
Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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2004.05a
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pp.117-122
/
2004
This study investigates the spatial and temporal distribution characteristics and relationships among water quality parameters, which based on 6 years' data(from 1989 to 1994) measured at 16 stations on Jinhae Bay. The results of these analysis, monthly variations range between surface and bottom layer of water quality had a tendency to increase and decrease, and appeared to be at the maximum value in August. The relationships between concentration of COD ana nutrients(DIN and DIP), which obtained by correlation analysis of water quality, were shown $85\%$ and $74\%$, respectively. Using the cluster analysis to develop the division of the sea basin by the dendrogram, before and after dredging of Masan bay and operating a sewage disposal plant, the variation characteristics of water quality of Jinhae Bay were discussed. Through it, we can see the serious pollution of northen sea basin of Jinhae Bay(B2) although dredging Masan bay and operating the sewage disposal plant. As the results, it doesn't appear the improvement effect of water quality in spite of carrying out the effort of water quality improvement.
Journal of Family Resource Management and Policy Review
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v.16
no.2
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pp.41-57
/
2012
This study uncovers the relationships between mental health, couple relationships and marital happiness. The sample included 180 inter-married Korean men. The data were analyzed by means of frequency, Pearson correlation and multiple regression analysis using the SPSS. Mental health is positively correlated with marital conflict, but is negatively correlated with efficient communication and marital happiness. Furthermore, marital conflict is negatively correlated with communication and marital happiness. Second, mental health has a positive influence on marital conflict and a negative influence on marital happiness. Depression and social mal-adaptation have a negative effect on communication and marital happiness. Marital conflict does not have a mediating effect on mental health and marital happiness. Third, depression and social mal-adaptation have a negative influence on communication and marital happiness. Communication has a mediating effect on mental health and marital happiness. In conclusion, to reduce marital conflict, it is important to intervene in inter-married Korean men's marital happiness through special education programs and counseling.
Purpose: The family is a primary environment and has pivotal role for child health and development. This study was conducted to identify the relations of family strengths to body image and self-esteem in late school aged children. Methods: Data were collected from 455 children at 5th and 6th grades in four provinces of South Korea using self-report questionnaires for measuring body image, self-esteem, and family strengths. Pearson's correlation analysis and t-test, ANOVA were used to identify the relationships among variables, and compare body image, self-esteem, and family strengths according to general characteristics. Results: Body image, self-esteem and family strengths were significantly different according to economic status and academic performance. Family strengths were also affected by the presence of both parents. Body image, self-esteem and family strengths showed significant positive correlations. Conclusion: The family relations of school aged children are important for child's body image and self-esteem. We recommend that psycho-emotional interventions should be developed for both the children and their parents with low family strengths to improve body image and self-esteem.
Journal of Korean Academy of Nursing Administration
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v.20
no.1
/
pp.1-9
/
2014
Purpose: The purpose of this study was to ascertain current status of nurses' perception, nursing performance, job stress, and burnout in relation to the Joint Commission International (JCI) hospital accreditation and to verify the relationships among these variables. Methods: This cross-sectional study was performed using questionnaires. Data were collected from 220 nurses who worked at one hospital from April 5 to May 4, 2013. Results: The scores for perception, nursing performance, job stress and burnout in relation to the JCI hospital accreditation were(on a five-point Likert scale) 3.23, 4.01, 3.56 and 3.40 respectively. A positive correlation was observed between perception and nursing performance. Burnout was negatively correlated with perception and nursing performance, and positively correlated with job stress. Conclusion: These results indicate that developing positive perception and reduced burnout in relation to the JCI hospital accreditation can produce good nursing performance. These findings can be utilized to develop strategies for reducing job stress and burnout in relation to the JCI hospital accreditation.
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