• Child Health Nursing Research
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• v.17 no.4
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• pp.222-229
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• 2011

Purpose: This study was conducted to determine the predictors of cultural sensitivity for nursing students in Korea. Methods: The participants in this study were 332 nursing students. Data collection was conducted through the use of questionnaires which were constructed to include a Cultural Sensitivity Scale, Knowledge of Culture, Interpersonal Reaction Index, and Self-efficacy Scale. Results: Results showed that cultural sensitivity of nursing students was middle range. Knowledge level of culture was very low. There was a significant positive correlation between cultural sensitivity and knowledge of culture, empathy, and self-efficacy. The significant factors influencing cultural sensitivity of nursing students were empathy, self-efficacy, experience of an overseas trip and awareness of cultural education. These four factors explained 23.8% of the variance in cultural sensitivity of nursing students. Conclusion: These results indicate that cultural sensitivity is an important link with empathy and self-efficacy in nursing students. For nursing students to enhance cultural sensitivity, a transcultural nursing curriculum needs to develop for appropriate and effective services in cross-cultural situations of the multicultural families in Korea.

• Journal of Fashion Business
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• v.14 no.4
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• pp.102-110
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• 2010

The purposes of this study were to examine the relationship between brand sensitivity and public self-consciousness, and the effects of gender and age on brand sensitivity and public self-consciousness. The subject used for this study were three hundred and thirty-five college students (118 male students and 217 female students). For data analysis, descriptive statistics, Cronbach's alpha, multiple regression, and t-test were used. As the results, first, there were the significant differences between male students and female students on brand sensitivity and public self-consciousness. Female students had higher scores on brand sensitivity and public self-consciousness than male students as expected. Second, there were the significant differences between younger college students and older college students on brand sensitivity and public self-consciousness. Older college students had higher scores on brand sensitivity and public self-consciousness than younger college students. Finally, public self-consciousness influenced on brand sensitivity the most significantly, followed by age variable. Based on these results, brand management marketing strategy of fashion products would be provided.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.10
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• pp.164-169
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• 1997

The aim of this paper is to present some results of sensitivity analysis in frequency domain. The sensitivity fonctions in frequency domain is not depend on the external excitation but depend on the frequency of the system's resonance. The sensitivity functions are determined as function of partial derivatives of system transfer functions taken with respect to system design parameters. The logarithmic sensitivity function is the dimensionless sensitivity funciton available, making it useful to compare the influence of various parameters on system variables. Two degree of fredom system is used to illustrate the procedure for sensitivity analysis proposed in this paper.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.75-81
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• 2022

This study was attempted to understand the relationship between gender sensitivity and rejection sensitivity of nursing students. From August 26 to September 4, 2022, a survey was conducted on 180 people attending nursing universtity in I Metropolitan city, and then analyzed using the SPSS 24.0 Program. As a result of the study, nursing students' gender sensitivity had a high score of openness to gender identity and openness to gender roles, and overreaction was high among the sub-factors of rejection sensitivity. The gender sensitivity of nursing students was statistically significantly higher when female students, under the age of 23, without religion, experienced gender discrimination, and when there were LGBT people among family, relatives, or friends. In addition, rejection sensitivity was statistically significantly higher only when female students. Finally, among the sub-factors of gender sensitivity, there was a positive correlation between introspection and rejection sensitivity. In order to improve the introspection of gender sensitivity for nursing students, it is necessary to include education or programs on rejection sensitivity.

• Journal of Families and Better Life
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• v.34 no.4
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• pp.111-125
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• 2016

The purpose of this study was to model the relations between male and female university students' self-differentiation, rejection sensitivity, and interpersonal anxiety. Questionnaires from 502 university students in Seoul were analysed. The findings are as follows. Firstly, self-differentiation, rejection sensitivity, and interpersonal anxiety were significantly different according to gender. Secondly, the level of differentiation from family regression was higher for both male and female students. And the lower the rejection sensitivity experiencing in vertical relations became, and the lower the rejection sensitivity on horizontal relations was, the lower the interpersonal anxiety became. Thirdly, it was confirmed that for male students, differentiation from family regression affected rejection sensitivity on horizontal relations, and for females, differentiation from emotional reactivity affected ejection sensitivity on both horizontal and vertical relations. Finally, rejection sensitivity played a full mediation parameter when self-differentiation affected interpersonal anxiety, and it was demonstrated differences by gender. This study was meaningful in that it confirmed the relations between male and female university students' self-differentiation, rejection sensitivity, and interpersonal anxiety.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.543-547
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• 2001

CAE has been settled down to an indispensable tool for the simulation of a mechanical system according to the development of computer-aided analysis rapidly. Particularly finite element programs have advanced to the one of most valuable things in the filed of CAE due to the remarkable progress in the implementation. But since this analysis tool mostly provides the result of the analysis, it cannot satisfy designers who are seeking for information to improve their designs. Therefore, design sensitivity analysis or optimization module has been incorporated into commercial FEA programs to satisfy the desire of designers since 1990s. Design sensitivity analysis is to compute the rate of change of response with respected to design variable. Design sensitivity analysis is classfied into static design sensitivity analysis, Eigenvalue design sensitivity analysis and dynamic design sensitivity analysis. In this research, it will be presented to nonlinear static design sensitivity analysis formulation and nonlinear static design sensitivity analysis external module based ANSYS have been developed and illustrated an example to verify the developed module.

• Steel and Composite Structures
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• v.15 no.1
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• pp.15-39
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• 2013

The sensitivities of a structural response due to variation of its design parameters are prerequisite in the majority of the algorithms used for fundamental problems in engineering as system uncertainties, identification and probabilistic assessments etc. The paper presents the concept of probabilistic sensitivity of suspension bridges with respect to near-fault ground motion. In near field earthquake ground motions, large amplitude spectral accelerations can occur at long periods where many suspension bridges have significant structural response modes. Two different types of suspension bridges, which are Bosporus and Humber bridges, are selected to investigate the near-fault ground motion effects on suspension bridges random response sensitivity analysis. The modulus of elasticity is selected as random design variable. Strong ground motion records of Kocaeli, Northridge and Erzincan earthquakes are selected for the analyses. The stochastic sensitivity displacements and internal forces are determined by using the stochastic sensitivity finite element method and Monte Carlo simulation method. The stochastic sensitivity displacements and responses obtained from the two different suspension bridges subjected to these near-fault strong-ground motions are compared with each other. It is seen from the results that near-fault ground motions have different impacts stochastic sensitivity responses of suspension bridges. The stochastic sensitivity information provides a deeper insight into the structural design and it can be used as a basis for decision-making.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.1248-1253
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• 2003

Sensitivity information has been used for linearization of nonlinear functions in optimization. Basically, sensitivity is a derivative of a function with respect to a design variable. Design sensitivity is repeatedly calculated in optimization. Since sensitivity calculation is extremely expensive, there are studies to directly use the sensitivity in the design process. When a small design change is required, an engineer makes design changes by considering the sensitivity information. Generally, the current process is performed one-by-one for design variables. Methods to exploit the sensitivity information are developed. When a designer wants to change multiple variables with some relationship, the directional derivative can be utilized. In this case, the first derivative can be calculated. Only small design changes can be made from the first derivatives. Orthogonal arrays can be used for moderate changes of multiple variables. Analysis of Variance is carried out to find out the regional influence of variables. A flow is developed for efficient use of the methods. The sensitivity information is calculated by finite difference method. Various examples are solved to evaluate the proposed algorithm.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.12
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• pp.2092-2100
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• 2003

Sensitivity information has been used for linearization of nonlinear functions in optimization. Basically, sensitivity is a derivative of a function with respect to a design variable. Design sensitivity is repeatedly calculated in optimization. Since sensitivity calculation is extremely expensive, there are studies to directly use the sensitivity in the design process. When a small design change is required, an engineer makes design changes by considering the sensitivity information. Generally, the current process is performed one-by-one for design variables. Methods to exploit the sensitivity information are developed. When a designer wants to change multiple variables with some relationship, the directional derivative can be utilized. In this case, the first derivative can be calculated. Only small design changes can be made from the first derivatives. Orthogonal arrays can be used for moderate changes of multiple variables. Analysis of Variance is carried out to find out the regional influence of variables. A flow is developed for efficient use of the methods. A software system with the flow has been developed. The system can be easily interfaced with existing commercial systems through a file wrapping technique. The sensitivity information is calculated by finite difference method. Various examples are solved to evaluate the proposed algorithm and the software system.

• Progress in Medical Physics
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• v.27 no.4
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• pp.236-240
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• 2016

The purpose of this study is to propose a novel high sensitivity neuro-PET design. The improvement of sensitivity in neuro-PET is important because it can reduce scan time and/or radiation dose. In this study, we proposed a novel PET detector design that combined conical shape detector with cylindrical one to obtain high sensitivity. The sensitivity as a function of the oblique angle and the ratio of the conical to cylindrical portion was estimated to optimize the design of brain PET using Monte Carlo simulation tool, GATE. An axial sensitivity and misplacement rate by penetration of ${\gamma}$ rays were also estimated to evaluate the performance of the proposed PET. The sensitivity was improved by 36% at the center of axial FOV. This value was similar to the calculated value. The misplacement rate of conical shaped PET was about 5% higher than the conventional PET. The results of this study demonstrated the conical detector proposed in this study could provide subsequent improvement in sensitivity which could allow to design high sensitivity PET for brain imaging.