• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.2
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• pp.256-265
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• 2015

Purpose: The purpose of this study was to propose and test a predictive model that could explain and predict the core competencies of nursing students. Methods: A survey using a structured questionnaire was conducted with 361 nursing students. The data was analyzed using SPSS Windows 21.0 and AMOS 21.0. Results: The elements that directly influence the core competencies of nursing students were satisfaction with their academic discipline (nursing) and critical thinking disposition in which the disposition toward critical thinking directly influenced their satisfaction with nursing as an academic discipline and clinical practice. Conversely, satisfaction with clinical practice indirectly influenced core competencies through critical thinking disposition. Conclusion: This result provides the basic data for a competence-based curriculum intent on strengthening the core competencies (communication, problem-solving, and self-directed learning) by improving satisfaction with both clinical practice with their major and disposition toward critical thinking on the part of nursing students.

• Journal of Korean Academy of Nursing
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• v.41 no.4
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• pp.491-499
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• 2011

Purpose: The study was conducted to develop and test a hypothetical model which explains self-care behavior in patients with type 2 diabetes was established based on the Self-Determination Theory. Methods: The participants were 218 patients with type 2 diabetes mellitus enrolled in an outpatient clinic of one endocrine center in Korea. The data were collected using questionnaires from April 5 through May 7, 2010. The descriptive and correlation statistics were analyzed using the SPSS/WIN 15.0 and the structural equation modeling procedure was performed using the AMOS 7.0 program. Results: The results of this study showed that competence and autonomous motivation were the strong factors influencing self-care behavior in patients in this sample. Support from health provider for autonomy was a significant indirect factor on self-care behavior. These factors explained 64.9% of variance in the participants' self care behavior. The proposed model was concise and extensive in predicting self-care behavior of the participants. Conclusion: Findings may provide useful assistance in developing effective nursing interventions for maintaining and promoting self-care behavior in patients with type 2 diabetes.

• Proceedings of the Korea Concrete Institute Conference
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• 2002.05a
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• pp.99-104
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• 2002

In this paper the influence or specimen length on flexural compressive strength and parameter or equivalent rectangular stress block of polymer concrete was evaluated. For this purpose, a series of C-shaped specimens subjected to eccentric compression were tested using four different length-to-depth ratios(from 1.0, 2.0, 3.0 and 4.0) of specimens with compressive strength of 1,020kgf/cm$^2$. Results indicate that for the region of h/c$\leq$3.0 the reduction in equivalent rectangular stress block depth and flexural compressive strength with increase of length-to-depth ratios was apparent but for the region of h/c$\geq$3.0 they were nearly constant. It means that for the region of h/c$\geq$3.0 effect of specimen length on equivalent rectangular stress block depth and flexural compressive strength was negligible. It was also founded that the effect of specimen length on v, a coefficient of strength, that was from 0.84 to 0.86 regardless of h/c was petty. Finally, predictive equation is, suggested by using modified law of effect of specimen length and results.

• Computers and Concrete
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• v.3 no.6
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• pp.401-422
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• 2006

A multi-species model based on the Nernst-Planck equation has been developed by using a finite volume method. The model makes it possible to simulate transport due to an electrical field or by diffusion and to predict chloride penetration through water saturated concrete. The model is used in this paper to assess and analyse chloride diffusion coefficients and chloride binding isotherms. The experimental assessment of the effective chloride diffusion coefficient consists in measuring the chloride penetration depth by using a colorimetric method. The effective diffusion coefficient determined numerically allows to correctly reproduce the chloride penetration depth measured experimentally. Then, a new approach for the determination of chloride binding, based on non-steady state diffusion tests, is proposed. The binding isotherm is identified by a numerical inverse method from a single experimental total chloride concentration profile obtained at a given exposure time and from Freundlich's formula. In order to determine the initial pore solution composition (required as initial conditions for the model), the method of Taylor that describes the release of alkalis from cement and alkali sorption by the hydration products is used here. Finally, with these input data, prediction of total and water-soluble chloride concentration profiles has been performed. The method is validated by comparing the results of numerical simulations to experimental results obtained on various types of concretes and under different exposure conditions.

• Research in Community and Public Health Nursing
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• v.31 no.3
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• pp.395-404
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• 2020

Purpose: This study was conducted to develop a predictive model for happiness of students in general high schools. The study was based on the theory of happiness integration and the literature review. Methods: Data were collected using a convenience sample of 231 first and second grade students in five general high schools in D city and K Province. The exogenous variables were optimism as personality factors, parenting attitude, academic stress and friend's support as happiness. The endogenous variables were self-esteem and resilience as mediating variables, and happiness of students in general high schools. Data collection was done from March 14 to March 28, 2019. The AMOS 22.0 and SPSS programs were used to verify the validity of confirmatory factor analysis and hypothesis models. Results: The factors that have the greatest influence on happiness of high school students are self-esteem and resilience. The explanatory power of happiness by these variables was 98.1%. The individual mediating effect and double mediation effect of these variables were found to be significant. Conclusion: As student's optimistic personality, parent's positive parenting attitude, and friend's support improve student's self-esteem and resilience, ultimately positively affecting high school students' happiness, so it is necessary to consider these factors and try to develop a happiness improvement program.

• Journal of Korean Society of Water and Wastewater
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• v.19 no.6
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• pp.827-837
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• 2005

In this study, we derived a new non-dimensional variable including bubble size and air diffusing area by Buckingham's theorem for making a practical correlation with experimental results. Firstly, we drew a relationship between a non-dimensional variable, $NH/u_s$, which has a form of Froude number and destratification efficiency with a simple theoretical consideration. Then we derived two non-dimensional variables by Buckingham's ${\pi}$-theorem and equating them with a form of $Fr_N$ for making single parameter to correlate overall destratification efficiency. As the result, the single parameter Be number shows a correlations with destratification efficiencies obtained from laboratory and pilot experiments. Also, for the practical applications, we conducted multiple regression analysis using Be and tank area to make predictive equations about destratification efficiency. The result also shows a successful correlations with destratification efficiency ($R^2$>0.9, p<0.001). Using this equation, we proposed a new design methodology with respect to bubble diffusing area.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.1058-1065
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• 2015

This paper present a current predicting control method for PMSM (permanent magnet synchronous motor) to improve the tracking performance of stator current, which regards the current vector as the control target. Solving the model state equation in the static frame (α-β frame), the dynamic change of current vector will be gained as three independent terms. These change terms, which contain the prediction of current vector, are discretized and simplified by Taylor series expansion and used to get the voltage vector as the predictive control quantity. SVPWM will transform the control voltage to the switching signal of inverter, which is newly deduced for the current vector. Simulation and experiment results are given to testy and verify the performance of this method.

• Earthquakes and Structures
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• v.14 no.3
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• pp.203-214
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• 2018

Predictive demand and collapse fragility functions are two essential components of the probabilistic seismic demand analysis that are commonly developed based on statistics with enormous, costly and time consuming data gathering. Although this approach might be justified for research purposes, it is not appealing for practical applications because of its computational cost. Thus, in this paper, Bayesian regression-based demand and collapse models are proposed to eliminate the need of time-consuming analyses. The demand model developed in the form of linear equation predicts overall maximum inter-story drift of the lowto mid-rise regular steel moment resisting frames (SMRFs), while the collapse model mathematically expressed by lognormal cumulative distribution function provides collapse occurrence probability for a given spectral acceleration at the fundamental period of the structure. Next, as an application, the proposed demand and collapse functions are implemented in a seismic fragility analysis to develop fragility and consequently seismic demand curves of three example buildings. The accuracy provided by utilization of the proposed models, with considering computation reduction, are compared with those directly obtained from Incremental Dynamic analysis, which is a computer-intensive procedure.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.4
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• pp.580-583
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• 2005

We have evaluated the application of spectroscopy using an insertion-type fiber-optic probe and a sensor at wavelengths from 400 to 1,100 nm to the measurement of milk fat content on dairy farms. The internal reflectance ratios of 183 milk samples were determined with a fiber-optic spectrophotometer at 5$^{\circ}C$, 20$^{\circ}C$ and 40$^{\circ}C$. Partial least squares (PLS) regression was used to develop calibration models for the milk fat. The best accuracy of determination was found for an equation that was obtained using smoothed internal reflectance data and three PLS factors at 20$^{\circ}C$. The correlation coefficients between predicted and reference milk fat at 5$^{\circ}C$, 20$^{\circ}C$ and 40$^{\circ}C$ were r=0.753, r=0.796 and r=0.783, respectively. The predictive explained variances ($Q^2$) of the final model, moreover, were more than 0.550 at all temperatures, and the regression coefficients of determination ($R^2$) were more than 0.6 (60%). Our results indicate that milk has different internal reflectance measured in the range of visible and near infrared wavelengths (400 to 1,100 nm), depending on its fat content.

• Journal of the Korean Home Economics Association
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• v.46 no.3
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• pp.57-71
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• 2008

The purpose of this study is 1) to develop and validate the BRQ construct perceived by brand loyal consumers, 2) to evaluate the predictive capacity of the individual BRQ dimension and brand relationship benefit on consumers' relationship intention, and 3) to identify the distinctive loyalty orientation based on the concept of BRQ. Questionnaire data from 379 brand loyal consumers on BRQ, brand relationship benefit, relationship intention, and their brand loyal behavior pattern were analyzed. The results showed that brand loyal consumers' BRQ composed of 3 dimensions including 'compensational bind', 'self attachment', and 'trust'. In addition, the mediating role of BRQ in predicting consumers' loyal relationship intention was validated using the structural equation model. Regarding the effect of each BRQ dimension on loyal relationship intention, consumers' intention to be loyal to an apparel brand was more explained by self attachment than the other dimensions. This study also intended to provide a useful direction to apparel brands in finding out which relationship quality type is more effective for differentiated marketing strategies by comparing the BRQ of single-brand loyal consumers and that of multi-brand loyal consumers.