• Korean Journal of Environment and Ecology
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• v.25 no.5
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• pp.691-709
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• 2011

This study was performed to classify habitat types depending on environmental factors and to find out distribution characteristics of functional feeding groups of aquatic insects which were collected at that habitat types. Field survey was conducted twice in a year for every spring and fall from 2007 to 2008 for 38 sites in the Geum River. During the field survey 15 environmental factors were measured at each 38 sites and analyzed by similarity analysis method to classify habitat types. The result of similarity analysis showed that the 38 sites could be grouped into 7 classes like as C1 and C3 class belong to Head water(HD), C2 and C4 and C5 class belong to Middle stream(MS), C6 and C7 class belong to Large River(LR) based on euclidean distances 4. And also, we could extract the main environmental factors affecting the classification of habitat types such as Stream Width and Elevation of physical environmental factors, Water Temperature, Conductivity and DO of chemical environmental factors, percentages of Sand, Silt and Gravel of substrate factors. Total 142 species of aquatic insects in 46 families, 9 orders were collected during the field surveys and the occurrence number of species and individuals showed high correlation with the Velocity factor and the percentage of Sand factor of each habitat types. In addition, correlation analysis between functional feeding groups and environmental factors represented that (1) Filtering-collectors(FC) affected by Velocity, Stream Width and Silt, (2) Gathering-collector(GC) affected by Velocity, (3) Predator(P) affected by Elevation, Velocity, Boulder, Conductivity and Sand, (4) Plant-piecer(PP) affected by Water Width and Silt, (5) Scraper(SC) affected by Elevation and Conductivity, (6) Shredder(SH) affected by Elevation, Boulder, DO, pH, Conductivity and Water Temperature respectively. As a result of this study, Elevation, Stream Width, Velocity, Conductivity, Water Temperature and percentage of Sand factors which were deduced by stepwise multiple regression analysis had correlations($r{\geqq}0.600$, p<0.01) with biota community inhabitation. Therefore these six environmental factors were regarded as major environmental factors that might affect highly the distribution of functional feeding groups in stream ecosystem of the Geum River.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.123-139
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• 2019

The Korean NPL market was formed by the government and foreign capital shortly after the 1997 IMF crisis. However, this market is short-lived, as the bad debt has started to increase after the global financial crisis in 2009 due to the real economic recession. NPL has become a major investment in the market in recent years when the domestic capital market's investment capital began to enter the NPL market in earnest. Although the domestic NPL market has received considerable attention due to the overheating of the NPL market in recent years, research on the NPL market has been abrupt since the history of capital market investment in the domestic NPL market is short. In addition, decision-making through more scientific and systematic analysis is required due to the decline in profitability and the price fluctuation due to the fluctuation of the real estate business. In this study, we propose a prediction model that can determine the achievement of the benchmark yield by using the NPL market related data in accordance with the market demand. In order to build the model, we used Korean NPL data from December 2013 to December 2017 for about 4 years. The total number of things data was 2291. As independent variables, only the variables related to the dependent variable were selected for the 11 variables that indicate the characteristics of the real estate. In order to select the variables, one to one t-test and logistic regression stepwise and decision tree were performed. Seven independent variables (purchase year, SPC (Special Purpose Company), municipality, appraisal value, purchase cost, OPB (Outstanding Principle Balance), HP (Holding Period)). The dependent variable is a bivariate variable that indicates whether the benchmark rate is reached. This is because the accuracy of the model predicting the binomial variables is higher than the model predicting the continuous variables, and the accuracy of these models is directly related to the effectiveness of the model. In addition, in the case of a special purpose company, whether or not to purchase the property is the main concern. Therefore, whether or not to achieve a certain level of return is enough to make a decision. For the dependent variable, we constructed and compared the predictive model by calculating the dependent variable by adjusting the numerical value to ascertain whether 12%, which is the standard rate of return used in the industry, is a meaningful reference value. As a result, it was found that the hit ratio average of the predictive model constructed using the dependent variable calculated by the 12% standard rate of return was the best at 64.60%. In order to propose an optimal prediction model based on the determined dependent variables and 7 independent variables, we construct a prediction model by applying the five methodologies of discriminant analysis, logistic regression analysis, decision tree, artificial neural network, and genetic algorithm linear model we tried to compare them. To do this, 10 sets of training data and testing data were extracted using 10 fold validation method. After building the model using this data, the hit ratio of each set was averaged and the performance was compared. As a result, the hit ratio average of prediction models constructed by using discriminant analysis, logistic regression model, decision tree, artificial neural network, and genetic algorithm linear model were 64.40%, 65.12%, 63.54%, 67.40%, and 60.51%, respectively. It was confirmed that the model using the artificial neural network is the best. Through this study, it is proved that it is effective to utilize 7 independent variables and artificial neural network prediction model in the future NPL market. The proposed model predicts that the 12% return of new things will be achieved beforehand, which will help the special purpose companies make investment decisions. Furthermore, we anticipate that the NPL market will be liquidated as the transaction proceeds at an appropriate price.

• Physical Therapy Korea
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• v.12 no.3
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• pp.74-83
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• 2005

The purpose of this study was to produce the regression equation from non-exercise $VO_{2max}$ of healthy young adults and to develop a maximal oxygen consumption ($VO_{2max}$) regression model. This model was based on heart rate non-exercise predictor variables (rest heart rate, maximal heart rate/rest heart rate), as an extra addition to the general regression which can reflect an individual's inherent or acquired cardiorespiratory fitness. The subjects were 101 healthy young adults aged 19 to 35 years. Exercise testing was measured by using a Balke protocol for treadmill and indirect calorimetry. The prediction equation was analyzed by using stepwise multiple regression procedures. The mean of $VO_{2max}$ was $39.02{\pm}6.72\;m{\ell}/kg/min$ (mean${\pm}$SD). The greatest variable correlated to $VO_{2max}$ was %fat. The predictor variable used in the non-exercise $VO_{2max}$ included %fat, gender, habitual physical activity and $HR_{max}/HR_{rest}$. The non-exercise $VO_{2max}$ estimation was as follows: $VO_{2max}$($m{\ell}/kg/min$)=55.58-.41(%fat)+.59(physical activity rating)-2.69($HR_{max}/HR_{rest}$)-5.36 (male=0, female=1); (R=.85, SEE=3.64, R2=.72: including heart rate variable); $VO_{2max}$($m{\ell}/kg/min$)=48.47-.41(%fat)+.45(physical activity rating)-5.12 (male=0, female=1); (R=.84, SEE=3.74, R2=.70: with the exception of heart rate variable). As an added heart rate variable, there was only a 2% coefficient of determination improved. Therefore, these results demonstrated that heart rate variable correlation with a non-exercise regression model was very low. In conclusion, for healthy young korean adults, those variables that can affect non-exercise $VO_{2max}$ estimation turned out to be only % fat, gender, and physical activity. We suggest that further research of predictor variables for non-exercise $VO_{2max}$ is necessary for different patient groups who cannot perform maximal exercise or submaximal exercise.

• Journal of The Korean Association For Science Education
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• v.36 no.1
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• pp.29-43
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• 2016

There have been much efforts to reconstruct the science curriculum focusing on Disciplinary Core Ideas(DCI) in many countries such as America and Europe, the most practical effort has been to design a curriculum with learning progressions(LPs). LPs describe stepwise how students can systematically move toward the understanding of more sophisticated ideas or scientific activities and explain in succession the process of understanding the ideas while the students learn. In this study, a LP for ecosystems has been developed, and the developed LP is then evaluated accordingly. The Ecosystem is one of the DCI of the life science in Next Generation Science Standards(NGSS). The development process of the LP was set at step 4(Development, Assessment, Analysis, and Amendment), and developed through an iterative process of sequences. As a result of analyzing the developed LP, an assessment based on the LP provides reliable information to identifying student ability. This study proposes the development process of the LP and its methodological aspects to use Core Achievement Standards, Ordered Multiple-Choice items and the Rasch model. In addition, using the empirically proven LP suggests a way of strengthening curriculum linked to educational content, teaching methods and assessment. Utilizing the proposed development process in this study will be to present the standard into the direction of becoming part of the curriculum. Currently, the state of domestic research for the LP is still lacking. This study determined the development process of the LP and the need to conduct future research on the LPs.

• Journal of Korean Academy of Nursing
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• v.30 no.4
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• pp.1006-1017
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• 2000

The purpose of this study was to provide basic information for developing a nursing intervention that helps patients learn how to acquire coping to reduce post operation uncertainty and anxiety by investigating the level of uncertainty and anxiety experienced by mastectomy patients. The subjects were 134 patients selected from St. Mary's Kangnam and St. Mary's hospital, and the data collection period was from October to December of 1998. Uncertainty was measured by using Mishel Uncertainty in Illness Scale (MUIS), anxiety measured by using State-Trait Anxiety Inventory(STAI), and coping by using a questionnaire developed by Kim & Yoo (1996). Data were analyzed with SAS program by t-test, ANOVA, Duncan's multiple range test, Pearson correlation coefficients, and stepwise multiple regression. The results were as follows : 1. The mean uncertainty score was 57.6. The results of the correlation between the compliance of medical regimen and demographic characteristics were as follows ; Those who monthly income over 2,010,000 won had lower than above 1,000,000 won, and those with the experience of chemotherapy had higher than those without, and the patient who has 7∼12 months(1 yr.) post operation period had higher than the one below 6months, 25∼36 months(3 yrs.), 37∼60 months(5 yrs.), and over 61 months. 2. The mean anxiety score was 45.9. Anxiety tended to be increased slightly in subjects with low educational background, poor monthly income, experience of chemotherapy, and 7∼12 months(1 yr.) post operation period, but there was no significant difference by general characteristics 3. The mean value of the coping score was 100.7. The study revealed higher score in problem-focused coping than emotion-focused coping. In regard to coping by demographic characteristics were as follows ; those who had monthly income over 2,010,000 won had higher level of coping than those whose monthly income was between 1,010,000 and 2,000,000 won. In terms of problem- focused coping, those who had 25∼36 months of post operation period showed significantly lower level of coping than those below 6 months or 37∼60 months(5 yrs.) or over 61 months of post operation period. Regarding the emotion-focused coping, those with the christianity had significantly lower level of coping than those without it. Also, those whose monthly income over 2,010,000 won had significantly higher coping level than those with income of between 1,010,000 and 2,000,000 won. 4. A positive relationship was found between uncertainty and anxiety. Patients who experienced more uncertainty also showed more anxiety. Problem-focused coping was inversely related to uncertainty and anxiety. 5. The major variable that affected uncertainty was anxiety, explaining 63.3% of the uncertainty. In addition to this, it would explain 66.4% in total when experience of chemotherapy was added.

• Journal of Korean Public Health Nursing
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• v.13 no.2
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• pp.143-160
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• 1999

The purpose of this descriptive survey study was to examine the following items. 1) Score distribution of life satisfaction. powerlessness. perceived health status and self-esteem 2) Demographic characteristics and the affection of socioeconomic characterictics to life satisfaction. powerlessness. perceived health status and self-esteem 3) Correlationship between life satisfaction. powerlessness. perceived health status and self-esteem 4) Determining the factors affecting life satisfaction The subjects were 167 urban elderly people. Data were collected from May to July in 1998 using the questionaires. The data were analyzed by mean. ANOVA. Pearson correlation coefficient and stepwise multiple regression with SPSS win 7.5 program. The results were as follows : 1) The degree of life satisfaction and powerlessness were relatively low with the mean score of 42.4 and 39.79 respectively. and perceived health status and self-esteem were relatively high with the mean score of 3.15 out of 5 and 27.3 respectively. 2) There were no significant differences between demographic characteristics and life satisfaction. Education(F=2.91. p=0.02), previous employment(F=2.23. p=0.03) and marital status(F=3.85. p=0.04) showed significant differences in the relationship between demographic characteristics and powerlessness. Sex(F=6.40. p=0.0l). education(F=3.30. p=0.0l). marital status(F=7.13. p=0.008) and kinds of living togather(F=3.69. p=0.003) showed significant differences in the relationship between demographic characteristics and perceived health status. There were no significant differences between demographic characeristics and self-esteem. 3) Monthly allowance(F=3.68. p=0.007). participation in social activity(F=5.90. p=0.000) and number of social activities(F=5.27. p=0.000) showed significant differences in the relationship between socioeconomic characteristics and life satisfaction. Monthly allowance(F=3.13. p=0.01) and number of social activities(F=2.7. p=0.02) showed significant differences in the relationship between socioeconomic characteristics and powerlessness. There were no significant differences between socioeconomic characteristics and perceived health status. Montly allowance(F=4.82. p=0.001). particpation in social activity(F=2.90. p=0.02) and number of social activities(F=3.79. p=0.003) showed significant differences m the relationship between socioeconomic characteristics and self-esteem. 4) Powerlessness showed negative correltionship with perceived health staus(r=-0.295. p<0.001). self-esteem(r=-0.463. p<0.001) and life satisfaction(r=-0.514. p<0.001). Perceived health status showed positive correltionship with self-esteem(r=0.312. p<0.001) and life satisfaction (r=0.377. p<0.001). Self-esteem showed positive correlationship with life satisfaction(r=0.652. p(<0.001). 5) The predicting variances for life satisfaction m elderly people were self-esteem. powerlessness. participation in social activity and perceived health status. The most influencing factor among the variances was the self-esteem$(42.5\%)$ and powerlessness was the second. Both of self-esteem and powerlessness accounted for $48.2\%$ in life satisfaction. The addition of participation of social activity and perceived health status accounted for $52.9\%$ in life satisfaction.

• Journal of Crop Science and Biotechnology
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• v.11 no.2
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• pp.141-150
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• 2008

The response of grain yield(GY) and milled-rice protein content(PC) to crop growth status and nitrogen(N) rates at panicle initiation stage(PIS) is critical information for prescribing topdress N rate at PIS(Npi) for target GY and PC. Three split-split-plot experiments including various N treatments and rice cultivars were conducted in Experimental Farm, Seoul National University, Korea in 2003-2005. Shoot N density(SND, g N in shoot $m^{-2}$) and canopy reflectance were measured before N application at PIS, and GY, PC, and SND were measured at harvest. Data from the first two years(2003-2004) were used for calibrating the predictive models for GY, PC, and SND accumulated from PIS to harvest using SND at PIS and Npi by multiple stepwise regression. After that the calibrated models were used for calculating N requirement at PIS for each of nine plots based on the target PC of 6.8% and the values of SND at PIS that was estimated by canopy reflectance method in the 2005 experiment. The result showed that SND at PIS in combination with Npi were successful to predict GY, PC, and SND from PIS to harvest in the calibration dataset with the coefficients of determination ($R^2$) of 0.87, 0.73, and 0.82 and the relative errors in prediction(REP, %) of 5.5, 4.3, and 21.1%, respectively. In general, the calibrated model equations showed a little lower performance in calculating GY, PC, and SND in the validation dataset(data from 2005) but REP ranging from 3.3% for PC and 13.9% for SND accumulated from PIS to harvest was acceptable. Nitrogen rate prescription treatment(PRT) for the target PC of 6.8% reduced the coefficient of variation in PC from 4.6% in the fixed rate treatment(FRT, 3.6g N $m^{-2}$) to 2.4% in PRT and the average PC of PRT was 6.78%, being very close to the target PC of 6.8%. In addition, PRT increased GY by 42.1 $gm^{-2}$ while Npi increased by 0.63 $gm^{-2}$ compared to the FRT, resulting in high agronomic N-use efficiency of 68.8 kg grain from additional kg N. The high agronomic N-use efficiency might have resulted from the higher response of grain yield to the applied N in the prescribed N rate treatment because N rate was prescribed based on the crop growth and N status of each plot.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.489-498
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• 2016

This study examined the effects of internal marketing and customer orientation on the organizational commitment of nurses in specialized hospitals. This research was conducted from May 1 to 30, 2015 and involved 149 nurses at 5 specialized hospitals in Busan, The collected data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson correlation coefficients, stepwise multiple regression by the SPSS WIN 18.0 program. As a result, there were significant differences in the organizational commitment according to age, marital status, education, clinical experience, position, work shift, working unit, number of beds, and experience of participation for employee satisfaction survey. Organizational commitment was positively related to the internal marketing. In addition, there was a positive correlation between the organizational commitment and customer orientation. Meaningful variables that influenced the organizational commitment were internal marketing, working unit, education, and position. The total explanation power was 58.5% and the internal marketing was the most influential factor. In conclusion, to enhance the organizational commitment of nurses working in specialized hospitals, educational opportunities need to be provided to increase the professionalism of nurses, and efforts will be needed to improve the working environment and develop internal marketing strategies, such as regular satisfaction surveys.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.100-108
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• 2020

This descriptive research study investigated the mediating effect of self-leadership on the relationship between critical thinking and problem solving ability of nursing university students. The data were collected from nursing university students in G city. Korea, from 20 Sep. 2019 through 30 Sep. 2019. General characteristics, critical thinking, problem solving ability and self-leadership were surveyed using structured questionnaires. Statistical analysis was performed using descriptive statistics, ANOVA, and stepwise multiple regression analysis with SPSS/WIN 21.0. The mediating effect of self-leadership on the relationship between critical thinking and problem solving ability was tested using Baron & Kenny's 3-step hierarchical regression analysis. There were positive correlations between problem solving ability and critical thinking(r=.48, p<.001), between problem solving ability and self-leadership(r=.73, p<.001) and between critical thinking and self-leadership(r=.70, p<.001). In addition, self-leadership had a partial mediating effect(Z=6.64 p<.001) on the relationship between critical thinking and problem-solving ability. Therefore, strengthening of self-leadership is necessary to improve the problem-solving ability of nursing university students. Various strategies through regular education courses and extracurricular activities should be prepared for this purpose.

• Journal of Korean Society of Environmental Engineers
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• v.31 no.8
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• pp.655-662
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• 2009

In order to obtain knowledge on the design and operation of practical?scale Cylinder-Shaped Filters, pilot experiments were conducted to observe the effects of stepwise augmentation of production rate on water quality and clogging. A production rate increase from 0.8 L/min to 2.4 L/min did not appear to affect the removal efficiencies of BOD(Biochemical Oxygen Demand), SS(Suspended Solids), and turbidity, as the values were maintained around 80%, over 95%, and over 90% respectively;however, COD(Chemical Oxygen Demand) removal decreased from 44% to 29%. In addition, results indicated an inverse relationship between production rate and detention time required to remove unit contaminant concentration, the observed detention time in the filter to remove 1 mg-COD/L being 83 minutes for the production rate of 0.8 L/min and 45 minutes for the production rate of 2.4 L/min, suggesting that a relatively higher production rate is likely to be more advantageous in the purification of reservoir water when compared to a lower production rate. Clogging was observed to originate from the surface and advance to the center of the filter, and although clogging seemed to increase as the production rate increased, this did not cause any difficulties in normal functioning of the filter for more than 2 years of operation, suggesting that this filter system can be used effectively in the purification of reservoir water.