• The Journal of Fisheries Business Administration
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• v.22 no.1
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• pp.77-100
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• 1991

This study has made an attempt to analyze the determinants of Foreign Direct Investment (FFI) by Korean Fishery firms. The questionaire survey on individual firm's recognition and the determinants of Foreign Fishery Investment (FFI) was performed, yielding the following results. First, the main object of FFI is to reserve fishing ground. The result of the statistical analysis shows that import ratio for domestic market (DOM) is a significant variable of FFI. These two facts indicate our FFI is resouree-oriented in terms of the object and motive. Second, FFI is primaily determined by firm-related factors rather than country- related factors. The significant variable in firm-related factfors is the number of departments of the investing firm (DEPT). Another notable result is that fishing fee is not an influential variable in FFI decision.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.97-115
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• 2006

The variable of WRL is composed of dimensions and their sub-items based on FRL. This study categorized these dimensions into 43 items fittingly to the situation in Korea through examining the validity of the contents. In addition, to overcome limitations in situation set for formulating the variable, which was not suggested in previous researches, this study diagramed the situation in three steps based on the cycle of MOT. The index of WRL which was adapted to reality of Korea society was finalized into 8 dimensions and 33 questionnaire items after processed in refining method as a procedure of re-proving the method.

• Korean Journal of Childcare and Education
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• v.8 no.1
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• pp.25-44
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• 2012

The purpose of this study was to conduct a systematic review of the previous studies done on the child-care teacher's turnover intentions. From 2001 to 2011, 33 articles which reforted primary empirical data met the criteria for inclusion in the meta-analysis. The results of this study are as follo ws: First, included in the main factors related to child-care teachers' turnover intentions were a job-related variable, an organizational internal variable and an organizational external variable. Second, the most influential protective variable related to the child-care teacher's turnover intentions among the set of organizational external variables was work-time followed by welfare, education and training, remuneration, social recognition and promotion system. Third, the most influential protective variable related to child-care teachers' turnover intentions among the set of job-related variables was teacher efficacy followed by job satisfaction, participation of decision making, performance, work-autonomy and work-professionalism. Fourth, the most influential protective variable related to the child-care teacher's turnover intentions among the set of organizational internal variables was personal relations followed by relationships with the director and relationships with colleagues. The effect size of these variables was large. Fifth, the results of meta-regression analysis revealed that the survey area and years had no significant effect on overall effect sizes.

• Journal of Sensor Science and Technology
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• v.31 no.3
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• pp.156-162
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• 2022

This study estimates the relative position between body segments using segment orientation and segment-to-joint center (S2J) vectors. In many wearable motion tracking technologies, the S2J vector is treated as a constant based on the assumption that rigid body segments are connected by a mechanical ball joint. However, human body segments are deformable non-rigid bodies, and they are connected via ligaments and tendons; therefore, the S2J vector should be determined as a time-varying vector, instead of a constant. In this regard, our previous study (2021) proposed a method for determining the time-varying S2J vector from the learning dataset using a regression method. Because that method uses a deformation-related variable to consider the deformation of S2J vectors, the optimal variable must be determined in terms of estimation accuracy by motion and segment. In this study, we investigated the effects of deformation-related variables on the estimation accuracy of the relative position. The experimental results showed that the estimation accuracy was the highest when the flexion and adduction angles of the shoulder and the flexion angles of the shoulder and elbow were selected as deformation-related variables for the sternum-to-upper arm and upper arm-to-forearm, respectively. Furthermore, the case with multiple deformation-related variables was superior by an average of 2.19 mm compared to the case with a single variable.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.29-37
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• 2020

Purposes: This study purposed to identify influence of postpartum care services on health-related quality of life in women after birth. Methodology: Korea Health Panel Survey 2009-2015 provided by the Korea Institute for Health and Social Affairs and National Health Insurance Service was used for the analysis. The health-related quality of life evaluate as a EuroQoL-5D(EQ-5D-3L, used the weight of the CDC) was used as dependent variables. Postpartum care services was used as independent variable. Demographic factors(education, economic activity, region, house income), health related variable(presence of chronic disease, self-rated health), birth related variable(birth-related problem, childbirth, pregnancy of advanced maternal age) used as covariates. Regression analysis was used. Findings: The rate of use of postpartum care services is increasing year by year. Postpartum care services and self-rated health positively influence on the health-related quality of life in women after birth and chronic disease and birth-related problem negatively influence on. Practical Implications: Therefore, it is necessary that the government's policy of the postpartum care service be expanded and systematized to increase accessibility on. There are rare studies on the health-related quality of life of women after childbirth, adjusted for birth-related variables. So this study has significance.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.756-765
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• 2016

In order to investigate variables related to the life satisfaction of women from the multi-cultural families, this study collected relevant studies and applied meta-analysis. As a result, it was found, first, their life satisfaction was between the small effect size and the moderate effect size, on the basis of the relevant variables and Cohen's standards(1992). Second, of the sub variables of their individual characteristic variable, Korean proficiency and nationality acquisition were found to be the small effect size. Third, of the sub variables of their psychological variable and multiple culture-related variable, the effect sizes of self-esteem and the receptive attitude towards multiple cultures were found to be between the moderate effect size and the large effect size. Fourth, the sub variables of their social support variable were found to be generally highly correlated with their life satisfaction. Fifth, the sub variables of daily life and spouse-related variables showed very low levels of effect size overall. This study suggested conclusions and limitations of the research based on the results of the above analyses.

• Communications for Statistical Applications and Methods
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• v.30 no.6
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• pp.577-587
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• 2023

Conventional categorical data imputation techniques, such as mode imputation, often encounter issues related to overestimation. If the variable has too many categories, multinomial logistic regression imputation method may be impossible due to computational limitations. To rectify these limitations, we propose a two-stage imputation method. During the first stage, we utilize the Boruta variable selection method on the complete dataset to identify significant variables for the target categorical variable. Then, in the second stage, we use the important variables for the target categorical variable for logistic regression to impute missing data in binary variables, polytomous regression to impute missing data in categorical variables, and predictive mean matching to impute missing data in quantitative variables. Through analysis of both asymmetric and non-normal simulated and real data, we demonstrate that the two-stage imputation method outperforms imputation methods lacking variable selection, as evidenced by accuracy measures. During the analysis of real survey data, we also demonstrate that our suggested two-stage imputation method surpasses the current imputation approach in terms of accuracy.

• Korean Journal of Human Ecology
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• v.16 no.3
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• pp.547-562
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• 2007

The purpose of this study was to investigate the relationships of middle-aged men's family and work related variables and satisfaction. Based on the results of the study, the following was concluded ; First, there were significant differences in men's satisfaction across education level, economic variables, and occupation. Second, family related variables, work related variables, and work-family conflict were significantly correlated with satisfaction. In reference to family related variable, satisfaction was higher when marital satisfaction is good, parental stress, adult caring burden, and work-family conflict are lower. In reference to work related variables, satisfaction is higher when job stress is lower, job security is lower, and colleague relationship is good. Third, family related variables, work related variables, and work-family conflict were significantly correlated with mutually one another. Specifically, parental stress is correlated with work related variables. A higher correction was reported between work-family conflict and job stress. Finally, results of multiple regression analysis showed that these variable influenced middle-aged men's satisfaction. Moreover, the degree of explanation for satisfaction increased more, when family and work related variables, and work-family conflict add in individual character variables.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.39-44
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• 2011

Computer games need game formulas which express game rules by mathematical functions because the game rules are automatically processed by computers. The game formulas are usually multi-variable functions. So the design of a game formula is a complex and difficult problem because it is the same problem of the design of a multi-variable function which should satisfy the related game rules. In this paper we propose a new method which can systematically design game formulas. The purposed method is the decomposing of tree structure for a game formula by analyzing the tree structure of the operands which have single-variable functions on the lowest levels. So the design method can change the complex and difficult problem of the design of a multi-variable function to the simple and easy problem of the design of the single-variable function which should satisfy the related game rules.

• Genomics & Informatics
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• v.21 no.3
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• pp.28.1-28.13
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• 2023

Mild cognitive impairment (MCI) is a clinical syndrome characterized by the onset and evolution of cognitive impairments, often considered a transitional stage to Alzheimer's disease (AD). The genetic traits of MCI patients who experience a rapid progression to AD can enhance early diagnosis capabilities and facilitate drug discovery for AD. While a genome-wide association study (GWAS) is a standard tool for identifying single nucleotide polymorphisms (SNPs) related to a disease, it fails to detect SNPs with small effect sizes due to stringent control for multiple testing. Additionally, the method does not consider the group structures of SNPs, such as genes or linkage disequilibrium blocks, which can provide valuable insights into the genetic architecture. To address the limitations, we propose a Bayesian bi-level variable selection method that detects SNPs associated with time of conversion from MCI to AD. Our approach integrates group inclusion indicators into an accelerated failure time model to identify important SNP groups. Additionally, we employ data augmentation techniques to impute censored time values using a predictive posterior. We adapt Dirichlet-Laplace shrinkage priors to incorporate the group structure for SNP-level variable selection. In the simulation study, our method outperformed other competing methods regarding variable selection. The analysis of Alzheimer's Disease Neuroimaging Initiative (ADNI) data revealed several genes directly or indirectly related to AD, whereas a classical GWAS did not identify any significant SNPs.