• Asian-Australasian Journal of Animal Sciences
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• v.32 no.12
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• pp.1836-1843
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• 2019

Objective: Social genetic effects (SGE) are an important genetic component for growth, group productivity, and welfare in pigs. The present study was conducted to evaluate i) the feasibility of the single-step genomic best linear unbiased prediction (ssGBLUP) approach with the inclusion of SGE in the model in pigs, and ii) the changes in the contribution of heritable SGE to the phenotypic variance with different scaling ${\omega}$ constants for genomic relationships. Methods: The dataset included performance tested growth rate records (average daily gain) from 13,166 and 21,762 pigs Landrace (LR) and Yorkshire (YS), respectively. A total of 1,041 (LR) and 964 (YS) pigs were genotyped using the Illumina PorcineSNP60 v2 BeadChip panel. With the BLUPF90 software package, genetic parameters were estimated using a modified animal model for competitive traits. Giving a fixed weight to pedigree relationships (${\tau}:1$), several weights (${\omega}_{xx}$, 0.1 to 1.0; with a 0.1 interval) were scaled with the genomic relationship for best model fit with Akaike information criterion (AIC). Results: The genetic variances and total heritability estimates ($T^2$) were mostly higher with ssGBLUP than in the pedigree-based analysis. The model AIC value increased with any level of ${\omega}$ other than 0.6 and 0.5 in LR and YS, respectively, indicating the worse fit of those models. The theoretical accuracies of direct and social breeding value were increased by decreasing ${\omega}$ in both breeds, indicating the better accuracy of ${\omega}_{0.1}$ models. Therefore, the optimal values of ${\omega}$ to minimize AIC and to increase theoretical accuracy were 0.6 in LR and 0.5 in YS. Conclusion: In conclusion, single-step ssGBLUP model fitting SGE showed significant improvement in accuracy compared with the pedigree-based analysis method; therefore, it could be implemented in a pig population for genomic selection based on SGE, especially in South Korean populations, with appropriate further adjustment of tuning parameters for relationship matrices.

• Korean journal of applied entomology
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• v.24 no.1 s.62
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• pp.29-33
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• 1985

Every plant in $990m^2$ onion field was inspected for damages by the onion maggot. Maps were constructed every ten days to show which plants were infested and which were not from April 11 to May 21, 1984. The maps were sectioned into squares one of which contains 80 onion plants and the counts of damaged onions in each square were fitted to poisson and negative binomial distribution and tested by chi-square. We argue that the satisfactory fitness of the expected negative binomial $[P(x^2)>0.05]$ provided a useful description of the spatial distribution patterns of the damaged onions. Edge effect was tested by the differences of damage ratio and variance/mean ratio (${\sigma}^2/m$) between edge and center part. The result showed that the damage ratioes and variances of all the periods, ${\sigma}^2/m$ values after May 1 were greater in edge part than in center part. Again, the maps were sectioned into four blocks and the squares (sample units) were sectioned into quadrants. By application of the variance component technique, it was suggested that $2{\sim}8$ sample units for 5% sampling error and $1{\sim}2$ sample units for 10% error should be sampled randomly to estimate the damage ratio when $2{\sim}3$ quadrants were inspected.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.2
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• pp.91-99
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• 2014

The common-rail injectors are the most critical component of the CRDI diesel engines that dominantly affect engine performances through high pressure injection with exact control. Thus, from now on the advanced combustion technologies for common-rail diesel injection engine require high performance fuel injectors. Accordingly, the previous studies on the numerical and experimental analysis of the diesel injector have focused on a optimum geometry to induce proper injection rate. In this study, computational predictions of performance of the diesel injector have been performed to evaluate internal flow characteristics for various needle lift and the spray pattern at the nozzle exit. To our knowledge, three-dimensional computational fluid dynamics (CFD) model of the internal flow passage of an entire injector duct including injection and return routes has never been studied. In this study, major design parameters concerning internal routes in the injector are optimized by using a CFD analysis and Response Surface Method (RSM). The computational prediction of the internal flow characteristics of the common-rail diesel injector was carried out by using STAR-CCM+7.06 code. In this work, computations were carried out under the assumption that the internal flow passage is a steady-state condition at the maximum needle lift. The design parameters are optimized by using the L16 orthogonal array and polynomial regression, local-approximation characteristics of RSM. Meanwhile, the optimum values are confirmed to be valid in 95% confidence and 5% significance level through analysis of variance (ANOVA). In addition, optimal design and prototype design were confirmed by calculating the injection quantities, resulting in the improvement of the injection performance by more than 54%.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.13-21
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• 2007

Many companies launched convergence products that are merged with several functions. Mobile convergence has some advantages such as portable convenience, usability of use, economic advantage that takes parts of the common component among products in the aspects of the digital products. Even though a plenty of items launched by convergence boom in the market, not tons of convergence products succeeded in the market because One of the major reasons is that companies don't take consumer evaluations in the process of the product development. It is important to set up infrastructure and excellent quality of the products for lasting the lifecycle of the convergence items. But, above all, it is imperative to find out how consumers evaluate convergence products and what they are affected to meet their satisfaction. Nevertheless, there are few case studies about consumer evaluations in mobile convergence until now. This study is to find out how consumers evaluate convergence products and what is the factor. This study surveyed 158 subjects and used multi-regression analysis and ANOVA(analysis of variance). The results of this study show that factors such as relative advantages, complexity, observability, perceived convenience affect the attitude of consumers.

• Journal of Korean Academy of Nursing
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• v.29 no.6
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• pp.1365-1378
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• 1999

This study is a methodological research study to develop an instrument to measure in patients with cancer and to test the validity and reliability of the instrument. The research procedure was as follows : 1) The first step was to develop conceptual framework based on a comprehensive review of the literature and in-depth interviews with patients with cancer. This conceptual framework was organized in to three dimensions (the intrapersonal dimension, the significant-other and context related dimension, the transcendental dimension). Initially 59 items were adopted. 2) These items were analyzed through the index of content validity(CVI) and 53 items were selected which met more than 80% on the CVI. 3) The pretest was carried out with 87 patients with cancer. After the pretest results were analyzed by item analysis, 44 items were selected. A second test of content validity was conducted and 6 items were eliminated considering the 80% CVI. 4) To test for reliability and validity, data collection was done during the period from January 25, 1999, to February 26, 1999. The subjects for the test were 160 patients with cancer and 185 healthy persons. analysis, item analysis and multitrait-multimethod method to analyze validity. The findings are as follows : 1) The Cronbach's alpha coefficient for internal consistency was .92 for the total 38 items and .79, .82, .85, for the three dimensions in that order. 2) The item analysis was based on the corrected item to total correlation coefficient( .30 or more) and information about the alpha estimate if this item was dropped from the scale. 3) As a result of the initial factor analysis using principal component analysis and varimax rotation, one item was deleted because of factor complexity (indiscriminate factor loadings). In the secondary factor analysis, 7 factors with eigenvalue of more than 1.0 were extracted and these factors explained 56 percents of the total variance. The seven factors were labeled as 'family relationship', 'emotional condition', 'physical discomfort', 'meaning and goal of life', 'contextual stimuli', 'change of body image', 'guilt feelings'. 4) The convergence effect between this instrument and the life satisfaction scale was identified and there was significant positive correlation(r= .52, p= .00). The discriminant validity between this instrument and the depression scale(CES-D) was tested and there was significant negative correlation(r= -.50, p= .00). The instrument for accessing the suffering of patients with cancer developed in this study was identified as a tool with a high degree of reliability and validity. In this sense, this tool can be effectively utilized for assessment in caring for patients with cancer.

• Journal of Life Science
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• v.12 no.2
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• pp.213-218
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• 2002

The experiment was conducted to get basic information for cotton breeding program through four-variety diallel cross population. Additive, dominant, maternal, and reciprocal effect were observed significantly for days to maturity. Based on the Vr-Wr graphical analysis, the characters, number of bolls per plant, boll weight, seed and lint weight per boll, lint weight per boll, width of seed, 100-seed weight, days to flowering, and days to maturity were found to inherit incomplete dominance, and the characters of number of bolls per plant, width of seed, number of seeds per boll, and length of seed were assumed to inherit over dominance. The component of genetic variance analysis for boll weight, seed and lint weight per boll, lint weight per boll, number of seeds per boll, length of seed, and days to flowering showed that additive effects were higher than dominant effects. The narrow-sense heritability(h$_2$N) for boll weight, seed and lint weight per boll, lint weight per boll, days to flowering, and days to maturity showed high values as more than 43.19%. The estimate of broad-sense heritability(h$_2$B) value was higher than that of h$_2$N because of the low importance of dominance effects.

• Geophysics and Geophysical Exploration
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• v.15 no.4
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• pp.177-189
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• 2012

Evaluation of three-dimensional ore body modeling has been performed by applying the geostatistical integration technique to multiple geophysical (electrical resistivity, MT) and geological (borehole data, physical properties of core) information. It was available to analyze the resistivity range in borehole and other area through multiple geophysical data. A correlation between resistivity and density from physical properties test of core was also analyzed. In the case study results, the resistivity value of ore body is decreased contrast to increase of the density, which seems to be related to a reason that the ore body (magnetite) includes heavy conductive component (Fe) in itself. Based on the lab test of physical properties in iron mine region, various geophysical, geological and borehole data were used to provide ore body modeling, that is electrical resistivity, MT, physical properties data, borehole data and grade data obtained from borehole data. Of the various geostatistical techniques for the integrated data analysis, in this study, the SGS (sequential Gaussian simulation) method was applied to describe the varying non-homogeneity depending on region through the realization that maintains the mean and variance. With the geostatistical simulation results of geophysical, geological and grade data, the location of residual ore body and ore body which is previously reported was confirmed. In addition, another highly probable region of iron ore bodies was estimated deeper depth in study area through integrated modeling.

• Korea Journal of Hospital Management
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• v.17 no.1
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• pp.1-22
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• 2012

This study tires to examine affects that job and socio-psychological stresses of female office workers influence job satisfaction, organization commitment, and leaving intentions. A complete data are collected by conducting a survey with 240 female office workers from 9 medical institutions regarded as almost general hospital in Seoul. It is analyzed that the relation between socio-psychological stress and job satisfaction, organization commitment, and leaving intentions by using t-test; analysis of variance; correlation analysis; principal component analysis; linear structural equation modeling; etc. The results of this study are summarized as following. First, as it was comprehended by specific characteristics of subjects that the female office workers' level of job and socio-psychological stress, job satisfaction, organizational commitment, and leaving intention, there were statistically significant distinctions from their age, marital status, presence of children, position in the organization, type of employment, and monthly average income. Second, this study regarded relationship between the female office workers' level of job and socio-psychological stresses, job satisfaction, organizational commitment, and leaving intention. Job and socio-psychological stresses were negatively correlated with job satisfaction and organizational commitment, but the stresses were positive with leaving intention. Third, after evaluating effect that 8 features related to the job stress could influence job stress, the most effective valuables were in order to unfairness in organizational structure, workplace culture, inadequate compensation, and relationship conflict. Fourth, when looking at the overall effects of the job and sociopsychological stresses on job satisfaction, organizational commitment, and leaving intention, work autonomy was the most influencing factor of work stress levels. The level of the job stress seemed to be a prevalent impact on the leaving intention and it showed the most negative relationship that path coefficient from leaving intention to organizational commitment and also from organizational commitment to job satisfaction. Based on these findings, it can be defined that the job and socio-psychological stresses strongly influence job satisfaction, organizational commitment, and leaving intention.

• Journal of Animal Science and Technology
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• v.46 no.4
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• pp.509-516
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• 2004

This study is to investigate the amount of biased estimates for heritability and genetic correlation according to data structure on marbling scores in Korean cattle. Breeding population with 5 generations were simulated by way of selection for carcass weight, Longissimus muscle area and latent values of marbling scores and random mating. Latent variables of marbling scores were categorized into five by the thresholds of 0, I, 2, and 3 SD(DSI) or seven by the thresholds of -2, -1, 0,1I, 2, and 3 SD(DS2). Variance components and genetic pararneters(Heritabilities and Genetic correlations) were estimated by restricted maximum likelihood on multivariate linear mixed animal models and by Gibbs sampling algorithms on multivariate threshold mixed animal models in DS1 and DS2. Simulation was performed for 10 replicates and averages and empirical standard deviation were calculated. Using REML, heritabilitis of marbling score were under-estimated as 0.315 and 0.462 on DS1 and DS2, respectively, with comparison of the pararneter(0.500). Otherwise, using Gibbs sampling in the multivariate threshold animal models, these estimates did not significantly differ to the parameter. Residual correlations of marbling score to other traits were reduced with comparing the parameters when using REML algorithm with assuming linear and normal distribution. This would be due to loss of information and therefore, reduced variation on marbling score. As concluding, genetic variation of marbling would be well defined if liability concepts were adopted on marbling score and implemented threshold mixed model on genetic parameter estimation in Korean cattle.

• Women's Health Nursing
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• v.8 no.1
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• pp.106-115
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• 2002

Little is known about sexual autonomy in the light of human sexual health or sexual behavior. The purpose of this study was to increase understanding of sexual autonomy by developing a scale to measure sexual autonomy in college students. The measure was based on the perspective of human beings as having autonomy. A methodological developmental design was used. The study was done in three steps and included concept development through content analysis of relevant literature individual interviews using open-ended questions with 19 college students, item analysis of data from self report questionnaires for item to total correlation, content validity index by professionals and college students, and factor analysis with principal component analysis. Three groups participated in testing the measurement scale; Group A in 1998, a nationwide convenience sample of college students (n=1,163), Group B, college students in 1999 (n=233), and Group C, college students in 2000 who responded to the measurement scale before and after a sex education program (n=216). A series of exploratory and confirmatory factor analyses were conducted to test validity. For analysis of the questionnaires, statistical methods including reliability (test-retest), item to total analysis, content validity, factor analysis for construct validity and t-test for mean difference according to gender, sexual coitus, previous sex education, and pre-post experiment sex education were used with SPSS 10.0. Results: 1. Two stable factors were extracted and these contributed 48.05% of the variance in the total score. All 13 items loaded above .40 on each factor. 2. Factor I with 10 items was named 'control' and factor II with 3 items and was named 'coping'. 3. Differences in sexual autonomy scores for college students according to their experience showed that there were significantly higher scores for sexual autonomy in the post sex education group(t=-10.841, p=.000), but there were no differences according to whether or not they had previous sex education. Female college students had higher sexual autonomy scores than male college students in A or B group (t=-5.933, p=.000/ t=-1.992, p=.048). 4. Cronbach's $\alpha$ was .8603 for the total 13 items with 1,632 college students, .8739 with 232 students, .8333$\sim$.7647 with pre-post sex education with 216 students. This measurement was found to have a high validity and reliability for measuring sexual autonomy in college students. Therefore, the author recommends that it be used to measure the effects of sex education. It is suggested that further study is needed to analyze the relationship between sexual autonomy and sexual behavior.