• Korean Journal of Social Welfare Studies
• /
• v.48 no.2
• /
• pp.203-231
• /
• 2017

The purpose of this study is to examine the impact of organizational climate on the resource linking skills of social workers working in community welfare centers as well as the mediating effects of reflective thinking in these relationships. To test the mediating effects, we set up a research model based on previous studies on the organizational climate, resource linkage skills, and reflective thinking of social workers. The subjects of this study were social workers in community welfare centers in the Busan metropolitan city. Data were collected using mail surveys, and data from 526 respondents were used for the final analysis. The main results are as follows. First, the organizational climate of community welfare centers has a statistically significant impact on social workers' resource linkage skills. In other words, the more the social workers recognize positively about the organizational climate, the more the utilization of resource linkage skills increases. Second, reflective thinking has a mediating effect in the relationship between the organizational climate and resource linkage skills of social workers in community welfare centers. Based on the study results, practical suggestions for improved resource linkage skills and reflective thinking of social workers in community welfare centers were suggested, and practical implications and future research were discussed.

• Spatial Information Research
• /
• v.21 no.5
• /
• pp.73-82
• /
• 2013

In recent years, according to the increase of interests in indoor space, various researches are being carried out for the construction and services of indoor spatial information. BIM data is very useful to build indoor spatial information. Accordingly, many studies for the use of BIM data on GIS part are in progress. In order to take advantage of BIM data on GIS part, the conversion technology for building indoor data and visualization techniques are required. However, most of the previous researches are focused on the conversion technology to construct indoor spatial information by importing BIM data into GIS applications while there is few research on visualization. In this study, an indoor LOD(Level of Detail) model is proposed to apply to on indoor facility management system when indoor data was constructed based on BIM data for the linkage between BIM and GIS.

• Journal of KIISE:Software and Applications
• /
• v.32 no.2
• /
• pp.99-107
• /
• 2005

In this paper, wc propose a now missing imputation method for minimizing loss of information linkage disequilibrium-based and haplotype-based imputation method, which estimate missing values of the data based on the specificity of Single Nucleotide Polymorphism(SNP) genotype data. Method for imputing data is needed to minimize the loss of information caused by experimental missing data. In general, missing imputation of biological data has used major allele imputation method. but this approach is not optima]. 1'his method has high error rates of missing values estimation since the characteristics of the genotype data are not considered not take into consideration the specific structure of the data. In this paper, we show the results of the comparative evaluation of our model methods and major imputation method for the estimation of missing values.

• The Korean Journal of Applied Statistics
• /
• v.21 no.1
• /
• pp.1-17
• /
• 2008

The ordinary least squares regression method of Haseman and Elston(1972) is most widely used in genetic linkage studies for continuous traits of sib pairs. Kruglyak and Lander(1995) suggested a statistic which appears to be a nonparametric counterpart to the Haseman and Elston(1972)'s regression method, but in fact these two methods are quite different. In this paper the relationships between these two methods are described and will be compared by simulation studies. One of the characteristics of the sib-pair linkage study is that the explanatory variable has only three different values and thus dependent variable is heavily replicated in each value of the explanatory variable. We propose a weighted least squares regression method which is more appropriate to this situation and the efficiency of the weighted regression in genetic linkage study was explored with normal and non-normal simulated continuous traits data. Simulation studies demonstrated that the weighted regression is more powerful than other tests.

• Asian-Australasian Journal of Animal Sciences
• /
• v.28 no.7
• /
• pp.926-935
• /
• 2015

The efficiency of genome-wide association analysis (GWAS) depends on power of detection for quantitative trait loci (QTL) and precision for QTL mapping. In this study, three different strategies for GWAS were applied to detect QTL for carcass quality traits in the Korean cattle, Hanwoo; a linkage disequilibrium single locus regression method (LDRM), a combined linkage and linkage disequilibrium analysis (LDLA) and a $BayesC{\pi}$ approach. The phenotypes of 486 steers were collected for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area, and marbling score (Marb). Also the genotype data for the steers and their sires were scored with the Illumina bovine 50K single nucleotide polymorphism (SNP) chips. For the two former GWAS methods, threshold values were set at false discovery rate <0.01 on a chromosome-wide level, while a cut-off threshold value was set in the latter model, such that the top five windows, each of which comprised 10 adjacent SNPs, were chosen with significant variation for the phenotype. Four major additive QTL from these three methods had high concordance found in 64.1 to 64.9Mb for Bos taurus autosome (BTA) 7 for WWT, 24.3 to 25.4Mb for BTA14 for CWT, 0.5 to 1.5Mb for BTA6 for BFT and 26.3 to 33.4Mb for BTA29 for BFT. Several candidate genes (i.e. glutamate receptor, ionotropic, ampa 1 [GRIA1], family with sequence similarity 110, member B [FAM110B], and thymocyte selection-associated high mobility group box [TOX]) may be identified close to these QTL. Our result suggests that the use of different linkage disequilibrium mapping approaches can provide more reliable chromosome regions to further pinpoint DNA makers or causative genes in these regions.

• Korean Journal of Breeding Science
• /
• v.40 no.2
• /
• pp.97-100
• /
• 2008

Lectin protein and Kunitz trypsin inhibitor (KTI) protein of mature soybean seed are a main antinutritional factor in soybean seed. The Le gene controls a lectin protein and Ti gene controls the KTI protein in soybean. Ti locus has been located on linkage group 9 in the classical linkage map of soybean. Position of Le locus on linkage map was not identified. Genetic relationship between Ti locus and Le locus could be useful in soybean breeding program for the genetic elimination of these factors. The objective of this study was to determine the independent inheritance or linkage between Ti locus and Le locus in soybean seed. Two $F_2$ populations were developed from three parents (Gaechuck#1, T102, and PI548415). The $F_1$ seeds from Gaechuck#1 (titiLeLe) ${\times}$ T102 (TiTilele) and Gaechuck#1 (titiLeLe) ${\times}$ PI548415 (TiTilele) were obtained. The lectin and KTI protein were analysed from $F_2$ seeds harvested from the $F_1$ plants to find independent assortment or linkage between Ti locus and Le locus. The segregation ratios of 3 : 1 for Le locus (129 Le_ : 44 lele) and Ti locus (132 Ti_ : 41 titi) and were observed. The segregation ratios of 9 : 3 : 3 : 1 (95 Le_Li_ : 34 Le_titi: 37 leleTi_ : 7 leletiti) between Le gene and Ti gene in $F_2$ seeds were observed. This data showed that Ti gene was inherited independently with the Le gene in soybean. These results will be helpful in breeding program for selecting the line with lacking both KTI and lectin protein in soybean.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.8
• /
• pp.160-169
• /
• 2020

This study was conducted to identify the linkage and cooperation experiences in public case-management services of visiting health care practitioners. Focus group interviews were conducted with three people in charge of providing visiting healthcare services in public health centers. A semi-structured interview questionnaire was developed in advance through discussions among researchers In response to the interview questions, study participants described in detail the success and failure factors associated with linkage and cooperation that they experienced while providing visiting healthcare services. The interview data were analyzed qualitatively to identify the main themes and sub-themes reflecting visiting nurses' experiences with linkage and cooperation. The three main themes were: 'Guidelines act as positive performance factors for community-based linkage and cooperation', 'Unstable employment and lack of an integrated system act as barriers to linkage and cooperation', and 'Necessary for multidimensional approach to promoting linkage and cooperation'. Based on these results, the authors propose the development of clear linkage and cooperation standards and procedures, thereby ensuring job security for visiting nurses. Moreover, an integrated information system should be developed and implemented.

• Journal of Korean Academy of Nursing Administration
• /
• v.16 no.2
• /
• pp.121-142
• /
• 2010

Purpose: The purpose of this study was to identify NANDA, NIC, and NOC frequently used and their linkages in major nursing departments for development of the nursing process and nursing management system. Methods: This study was a descriptive study. Data were collected from 123 nurses who worked in medical, surgical, pediatric, gynecologic, and psychiatric department. The questionnaire was based on the NANDA, NOC, NIC, and NANDA-NOC-NIC linkage system. This research was analyzed by an EXCEL program and SPSS $Pc^{+}15.0$. Results: Nursing diagnoses frequently used were 'anxiety', 'disturbed sleep pattern', 'activity intolerance', 'social isolation', 'nausea', 'ineffective airway clearance', 'chronic pain', nursing outcomes frequently used were 'thermoregulation', 'bowel elimination', 'pain control', 'vital sign status', 'pain level', and nursing interventions frequently used were 'nausea management', 'airway suctioning', 'bowel elimination management', 'diarrhea management', 'medication management'. NANDA-NOC-NIC linkages in major nursing departments were recognized, and these results were similar to the results of other researches. Conclusion: The results of this study will be provided as a guideline to apply to the nursing process and development of the nursing process system with the NANDA-NOC-NIC linkage in major nursing department.

• Asia pacific journal of information systems
• /
• v.15 no.2
• /
• pp.171-193
• /
• 2005

Small firms are considered as the last mile in electronic networks of business enterprises. Since small firms lack in their resources and capabilities for IT deployment, it seems a challenging project to make them electronically linked to their trading partners. This study aims to investigate the factors that influence the intent of small firms to adopt electronic linkage to their trading partners. This study considers the context where small firms already have transaction relationships with partner firms and where their adoption of electronic linkage may influence the nature and performance of the transactional relationships. This study considers the expected value of electronic linkage and the joint actions of the trading firms as the major factors. Its research model also includes traditional factors such as influences from the industry and the trading partner, the support of CEO, and the readiness of the trading partner. Based on the survey data from more than 1000 small firms, the present study performs regression analysis and finds that all but one factor are significant in explaining the variations in the adoption intention of small firms. The exception is the joint action, which is shown to decrease the intention. Based on the results, this study offers business and policy implications that would be useful to business managers and policy makers.

• The Korean Journal of Applied Statistics
• /
• v.28 no.2
• /
• pp.221-230
• /
• 2015

Traditionally, sib-pair linkage analysis with repeated measures has employed linear mixed models, but it suffers from the lack of power to find genetic marker loci associated with a phenotype of interest. In this paper, we use a gamma mixed model to improve sib-pair linkage analysis and compare it with a linear mixed model in terms of power and Type I error. We illustrate that the use of gamma mixed model can achieve higher power than linear mixed model with Genetic Analysis Workshop 13 data.