• Korean Journal of Adult Nursing
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• v.22 no.1
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• pp.90-102
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• 2010

Purpose: The purpose of this study was to identity factors affecting patient adherence and to develop an explanatory model for patient adherence in patients with spinal cord injury. 8 Variables that were based on the previous research and a review of literature were used to construct hypothetical model. Social support, economic status, perceived barrier, patient provider relationship and rehabilitation related knowledge were the exogenous variables, depression, self-efficacy and patient adherence were the endogenous variables. Methods: Data form 117 patients with SCI were analysed to test the hypothetical model, using SAS and LISREL 8.53 program. Results: The overall fitness of the model was good (GFI=.991, AGFI=.915, NNFI=1.299, NFI=.953, p=.632) Depression, powerlessness, economic status were the strong factors influencing patient adherence. Powerlessness was significant factors for self-efficacy. Conclusion: To improve of patient adherence should focus on nursing intervention for depression, powerlessness and economic status.

• Magazine of the Korean Society of Agricultural Engineers
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• v.41 no.6
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• pp.33-43
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• 1999

Drought is a serious diaster in agriculutre, especially to upland crops. Hence, the Agricultural Drought Analysis Model (ADAM) that is integratable with GIS was applied to analyae agriculture drought in upland. ADAM is composed of two sub-models , one is a Soil Water Balance Model (SWBM) and the other is a Drougth Analysis Model (DAM) that is based on the Runs theory. The ADAM needs weather data, rainfall data and soil physical characteristics data as input and calculates daily soil moisture contents. GIS was integrated to the ADAM for the calculation of regional soil moisture using digitized landuse map, detaile dsoil map, thiessen network and district boundary . For the agriculutral drought analysis, the ADAM adapt the Runs theory for analyzing drought duration, severity and magnitude . Log-Pearson Type-III probability distribution function and Kolmogorov-Smirnov test were used to test the fitness of good of the model. The integration of ADAM with GIS was successfully implemented and would be operated effectively for the regional drought analysis.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.6
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• pp.176-182
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• 2004

This paper proposes a frequency transfer function synthesis for simplifying a high-order model with time delay to a low-order model. The model reduction is based on minimizing the m function weighted by the numerator polynomial of reduced systems. The proposed methods provide a better fitness within low frequency. Four examples are given to illustrate the feasibilities of the suggested schemes.

• Journal of East-West Nursing Research
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• v.27 no.2
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• pp.95-103
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• 2021

Purpose: This study was conducted to investigate the structural equation modeling of retention intention in nurses. Methods: A total of 210 nurses from three hospitals in B city, South Korea participated in this study. A structural equation model was constructed to verify the fitness of this model. Data were analyzed using SPSS 20.0 and AMOS 21.0 programs. Results: The hypothetical model appeared to fit the data. Three of the selected six hypotheses for the hypothetical model were statistically significant. The retention intention model showed significant direct effects for job crafting and job demands and indirect effects for relation oriented culture, which explained 28% of the variation in nurses' retention intention. Conclusion: We found that nurses' job crafting behavior and job demands had significant influences on retention intention and relation oriented culture which affected by the factors job crafting.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.5
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• pp.844-855
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• 2010

An important issue for the improvement of product quality is to identify and understand the customer-required attributes of a product. This paper identifies and analyzes customer-required attributes of formal knitwear for middle age and elderly women through the use of the Kano model in order to develop competitive products. Various research methods were used in this study. Customer voices for formal knitwear were collected by means of brainstorming and in-depth interviews. The collected customer voices were transformed into customer-required attributes with the use of an affinity diagram. In addition, the data was collected by means of a questionnaire and was statistically analyzed to examine the dimensions of customer-required attributes on the basis of the Kano model. The results are as follows. Five categories of customer-required attributes were identified (symbolism, aesthetic, fitness, usefulness, and maintenance). The analysis based on the Kano model identifies a strong one-dimensional quality in all of the categories of customer-required attributes and the attractive quality that includes a one-dimensional quality in the categories of fitness and usefulness. The findings of this study demonstrate the applicability of the affinity diagram for apparel that educates formal knitwear developers of the customer-required attributes that they should strategically focus on in order to develop competitive products.

• Ocean Systems Engineering
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• v.9 no.3
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• pp.287-328
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• 2019

Comprehensive understanding of the flood risk assessments via frequency analysis often demands multivariate designs under the different notations of return periods. Flood is a tri-variate random consequence, which often pointing the unreliability of univariate return period and demands for the joint dependency construction by accounting its multiple intercorrelated flood vectors i.e., flood peak, volume & durations. Selecting the most parsimonious probability functions for demonstrating univariate flood marginals distributions is often a mandatory pre-processing desire before the establishment of joint dependency. Especially under copulas methodology, which often allows the practitioner to model univariate marginals separately from their joint constructions. Parametric density approximations often hypothesized that the random samples must follow some specific or predefine probability density functions, which usually defines different estimates especially in the tail of distributions. Concentrations of the upper tail often seem interesting during flood modelling also, no evidence exhibited in favours of any fixed distributions, which often characterized through the trial and error procedure based on goodness-of-fit measures. On another side, model performance evaluations and selections of best-fitted distributions often demand precise investigations via comparing the relative sample reproducing capabilities otherwise, inconsistencies might reveal uncertainty. Also, the strength & weakness of different fitness statistics usually vary and having different extent during demonstrating gaps and dispensary among fitted distributions. In this literature, selections efforts of marginal distributions of flood variables are incorporated by employing an interactive set of parametric functions for event-based (or Block annual maxima) samples over the 50-years continuously-distributed streamflow characteristics for the Kelantan River basin at Gulliemard Bridge, Malaysia. Model fitness criteria are examined based on the degree of agreements between cumulative empirical and theoretical probabilities. Both the analytical as well as graphically visual inspections are undertaken to strengthen much decisive evidence in favour of best-fitted probability density.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.543-551
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• 2019

The purpose of this study was to examine the fitness of a Path model to represent relations between stress, social support, depression, and suicidal ideation in middle-aged males. The participants were 236 middle-aged males, and data were collected from April 11 to June 1, 2018. The analysis was performed using descriptive statistics and Pearson's correlations in PASW Ver. 21.0, and AMOS Ver. 18.0 (a statistical structural equation modeling program), fitness characteristics of the final model were RMSEA 0.05, GFI 0.98, AGFI 0.95, and NFI 0.98. The major study results were as follows. First, stress had a direct effect on depression and drinking, and social support had a direct effect on depression. Second, stress and social support both directly affected suicidal ideation. Results also suggested depression had partial mediating effects on relations between stress, social support, and suicidal ideation. We suggest a program be devised to reduce suicidal ideation by middle-aged males. It is hoped our results will provide basic data for future studies.

• International Commerce and Information Review
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• v.14 no.1
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• pp.391-418
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• 2012

The use of SNS (Social Network Service) has been increasing in world society and the SNS has been used to satisfy different purposes of social groups over the years. In the beginning, the SNS were formed using e-mail, listserve, newsgroup, etc., where information was shared among relatively homogeneous groups of people. Now different groups including corporations have been using SNS such as personal web pages, blogs, Facebook and Twitter for their social media marketing. This study intends to verify the relationship between SNS use and export marketing performance. To achieve this, different types of SNS use were analyzed in order to verify their relationship with export marketing performance. The conceptual model is suggested in this paper and several research constructs are identified. The constructs used in this paper include export marketing performance, SNS use, degree of innovation, product online fitness, marketing competence, and internationalization competence. According to the results, the SNS use directly influences the export marketing performance. In addition, the factors which determine the level of SNS use are product's online fitness and organizational willingness to undertake innovation. Therefore, it is suggested to increase SNS use in different marketing purposes for future research.

• Journal of Preventive Medicine and Public Health
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• v.51 no.5
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• pp.227-233
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• 2018

Objectives: Chronic diseases, including back pain, result in significant patient morbidity and societal burden. Overall improvement in physical fitness is recommended for prevention and treatment. Walking is a convenient modality for achieving initial gains. Our objective was to determine whether neighbourhood walkability, acting as a surrogate measure of physical fitness, was associated with the presence of chronic disease. Methods: We conducted a cross-sectional study of prospectively collected data from a prior randomized cohort study of 227 patients referred for tertiary assessment of chronic back pain in Ottawa, ON, Canada. The Charlson Comorbidity Index (CCI) was calculated from patient-completed questionnaires and medical record review. Using patients' postal codes, neighbourhood walkability was determined using the Walk Score, which awards points based on the distance to the closest amenities, yielding a score from 0 to 100 (0-50: car-dependent; 50-100: walkable). Results: Based on the Walk Score, 134 patients lived in car-dependent neighborhoods and 93 lived in walkable neighborhoods. A multivariate logistic regression model, adjusted for age, gender, rural postal code, body mass index, smoking, median household income, percent employment, pain, and disability, demonstrated an adjusted odds ratio of 2.75 (95% confidence interval, 1.16 to 6.53) times higher prevalence for having a chronic disease for patients living in a car-dependent neighborhood. There was also a significant dose-related association (p=0.01; Mantel-Haenszel chi-square=6.4) between living in car-dependent neighbourhoods and more severe CCI scores. Conclusions: Our findings suggest that advocating for improved neighbourhood planning to permit greater walkability may help offset the burden of chronic disease.

• Korean Journal of Materials Research
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• v.11 no.6
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• pp.492-497
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• 2001

We report the characteristics and the dependence of sputter-deposited Ta films on the process parameters. The properties of as-deposited Ta films such as deposition rate, resistivity, Rs uniformity, reflectivity, and stress were investigated and analyzed as a function of process parameter using a statistical experimental method. The functional relationships between the independent and dependent variables were predicted by surface response. The optimal deposition condition of DC magnetron sputtered Ta films was obtained at the chamber pressure of 2 mTorr, power density of 8 W/$\textrm{cm}^2$, and substrate temperature of 2$0^{\circ}C$ by means of resistivity and Rs uniformity. The fitness value for quadratic model as evaluated by the R- square was 0.85~ 0.9 without pooling. The as-deposited Ta films exhibited the resistivity of ~180$\mu$$\Omega$cm with Rs uniformity of ~2%. The transmission electron microscopy and x-ray diffractometry identified that the phase of as-deposited film was $\beta$-Ta having the grain size of 100~200.