• Journal of Industrial Convergence
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• v.21 no.1
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• pp.137-145
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• 2023

The purpose of this study was to find the effects of ethical awareness about pandemic and health beliefs of standard precaution on performance standard precaution of nursing students. The survey was performed on 163 nursing students in three universities. Data were collected using a structured questionnaires and analyzed using t-test, ANOVA, Pearson correlation coefficient, and multiple regression with SPSS 25.0 program. Study findings revealed that performance standard precautions was significantly correlated with ethical awareness about pandemic(r=.17, p=.033), perceived susceptibility(r=.33, p<.001), perceived severity (r=.24, p=.003), perceived benefits(r=.35, p<.001) and perceived obstruction(r=-.31, p<.001). The factors that had the influences on performance standard precaution were the perceived benefits(β=.20, p=.014)) and perceived obstruction(β=-.20, p=.008). And the explanation power of the regression model appeared as being 18.1%(F=8.09, p<.001). It is necessary to develop a systematic infection education program that considers ethical awareness, and perceived severity and obstruction among health beliefs of standard precaution to improve performance standard precaution of nursing students.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2C
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• pp.71-79
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• 2009

This study is to develope the resilient modulus prediction model, which is the function of mean effective principal stress and axial strain, for three types of railroad trackbed materials such as crushed stone, weathered granite soil, and crushed-rock soil mixture. The model consists of the maximum Young's modulus and nonlinear values for higher strain, analogous to dynamic shear modulus. The maximum value is modeled by model parameters, $A_E$ and the power of mean effective principal stress, $n_E$. The nonlinear portion is represented by modified hyperbolic model, with the model parameters of reference strain, ${\varepsilon}_r$ and curvature coefficient, a. To assess the performance of the prediction models proposed herein, the elastic response of a test trackbed near PyeongTaek, Korea, was evaluated using a 3-D elastic multilayer computer program (GEOTRACK). The results were compared with measured elastic vertical displacement during the passages of freight and passenger trains at two locations, whose sub-ballasts were crushed stone and weathered granite soil, respectively. The calculated vertical displacements of the sub-ballasts are within the order of 0.6mm, and agree well with measured values. The prediction models are thus concluded to work properly in the preliminary investigation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.245-252
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• 2023

The purpose of this study was to investigate the effect of academic engagement, academic self-efficacy of problem solving ability in nursing students. Data were collected from 219 nursing students in B city and analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of problem solving ability in nursing students was 4.00±0.51. There were significant differences in problem solving ability with major satisfaction(F=9.476, p<.001), class satisfaction (F=3.079, p<.001). There was positive correlation between problem solving ability and academic engagement (r=.560, p<.001), academic self-efficacy(r=.634, p<.001). There was positive correlation between academic engagement and academic self-efficacy(r=.769, p<.001). The factors affecting problem solving ability of the study subjects were academic engagement(β=.177, p=.031), academic self-efficacy(β=.498, p<.001), with an explanatory power of 41.0%. Therefore to increase aacademic engagement and academic self-efficacy of nursing students, it is necessary to develop the program for improving the problem solving ability of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.271-279
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• 2023

The purpose of this study was to investigate the effect of learning flow, problem solving ability, professor-student interaction of academic achievement in nursing students. Data were collected from 274 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and hierarchial multiple regression using SPSS/WIN 22.0. The degree of academic achievement in nursing students was 3.70±0.70. There were significant differences in academic achievement with grade(F=4.755, p=.003), campus life satisfaction(F=5.643, p=.004), major satisfaction(t=5.794, p=.003), adapting to COVID-19(F=7.961, p<.001), satisfaction to non-face-to-face environment class(F=18.353, p<.001). There was positive correlation between academic achievement and learning flow(r=.649, p<.001), problem solving ability(r=.333, p<.001), professor-student interaction(r=.479, p<.001). The factors affecting academic achievement of the study subjects were learning flow(β=.563, p<.001), professor-student interaction(β=.280, p<.001), with an explanatory power of 52.0%. Therefore, strategies increase the academic achievement of nursing students in untact lecture, and environment improvement to increase learning flow and professor-student interaction are needed.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.521-528
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• 2022

The purpose of this study was to investigate the effect of perceived stress, self-efficacy, interpersonal relationship of college life adaptation in college students. Data were collected from 2,956 college students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of suicide ideation in nursing students was 3.33±5.28. There were significant differences in college life adaptation with department(F=9.932, p<.001), number of friend(F=5.681, p<.001), close professor (t=-3.739, p<.001), There was negative correlation between college life adaptation and perceived stress(r=-.543, p<.001), positive correlation between college life adaptation and self-efficacy(r=.667, p<.001), interpersonal relationship(r=.679, p<.001). The factors affecting college life adaptation of the study subjects were perceived stress(β=-.191, p<.001), self-efficacy(β=.280, p<.001), interpersonal relationship(β=.394, p<.001), with an explanatory power of 56.7%. Through the result of this study, it is necessary to development education and program that to improve college life adaptation in college students.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.3A
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• pp.305-313
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• 2008

A reliability based calibration of dynamic load allowance (DLA) of highway bridge is performed by numerical dynamic analysis of various types of bridges taking into account of the road surface roughness and bridge-vehicle interaction. A total of 10 simply supported bridges with three girder types in the form of prestressed concrete girder, steel plate girder, and steel box girder is analyzed. The cross sections recommended in "The Standardized Design of Highway Bridge Superstructure" by the Korean Ministry of Construction are used for the prestressed concrete girder bridges and steel plate girder bridges while the box girder bridges are designed by the LRFD method. Ten sets of road surface roughness for each bridge are generated from power spectral density (PSD) function by assuming the roadway as "Average Road". A three dimensionally modeled 5-axle tractor-trailer with its gross weight the same as that of DB-24 design truck is used in the dynamic analysis. For the finite element modeling of superstructure, beam elements for the main girder, shell elements for concrete deck, and rigid links between main girder and concrete deck are used. The statistical mean and coefficient of variation of DLA are obtained from a total of 100 DLA results for 10 different bridges with each having 10 sets of road surface roughness. Applying the DLA statistics obtained, the DLA is finally calibrated in a reliability based LRFD format by using the formula developed in the calibration of OHBDC code.

• 한국노년학
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• v.29 no.2
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• pp.669-682
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• 2009

The purpose of this study was to explore the role of professional identity as mediating variable in the relationship between job- and organization- related factors and job satisfaction. This study surveyed social workers who worked at 24 senior welfare facilities in Daegu·Gyeoungbuk province from Aug. 1. to Aug. 30. 2006. A total of 137 questionnaires were collected using on-site survey (response rate 76.7%). Statistical analyses were performed using SPSS 12.0 for Windows. Descriptive analysis and frequency analysis were performed on overall measurement items and hierarchical regression analysis was conducted to test the mediating effect of professional identity. The reliability of statements was acceptable since the coefficient alphas were > .70. Results of hierarchical regression showed that professional identity was verified as a partial mediator in the relationship between factors related with job and organization and job satisfaction. As the population ages, there will be an increasing need for professional social workers effectively to work with and help care for the elderly. This study highlighted that job- and organization- related factors, namely self-regulations and social supports, are significantly related with job satisfaction of social workers. Especially, such effect was more significantly apparent in high professional identity which is playing a partial mediator. This result implies that there is potential to change work environments of social workers ensuring a delegation of power and responsibility. Therefore, efforts should be made to improve the promotion system and connect social worker as servant with community through diverse service learning programs.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.335-342
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• 2023

This study was attempted to confirm the effects of learning flow, academic stress, and resilience on self-efficacy in college students. This study targeted 304 university students in B and G cities. Data analysis was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using the SPSS 22.0 program. The average self-efficacy of the subjects was 3.14±0.62 points, and the difference in self-efficacy according to general characteristics was significant in gender(t=-2.533, p=.012) and satisfaction with major(F=5.687, p=.004). Self-efficacy of the subjects was positive correlation with learning flow(r=.574, p<.001), resilience(r=.525, p<.001), and negative correlation with academic stress(r=-.262, p<.001). Resilience of the subjects showed positive correlation with learning flow(r=.325, p<.001) and negative correlation with academic stress(r=-.291, p<.001). Learning flow showed negative correlation with academic stress(r=-.211, p<.001). Factors influencing the self-efficacy of the subjects were identified as academic commitment (β=.442, p<.001) and resilience (β=.363, p<.001) and the explanatory power was 45.6%. Therefore, in order to improve college students' self-efficacy, it is necessary to develop and apply education and programs that can improve learning flow and resilience.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.338-346
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• 2023

During isometric elbow flexion, forearm length should be an important factor to determine not only joint torque but also maximum endurance time (MET), when the forearm is perpendicular to the direction of the force. The purpose of this paper is to examine the effect of forearm length as an additional factor on empirical models of MET such as an exponential model and a power model during isometric elbow flexion. Thirty volunteers participated in our experiment to measure factor variables such as circumferences and lengths of their upper and lower arms. Their METs were measured according to the percent of maximum voluntary contraction intensity (%MVC). For the multiple linear regression model of ln(MET) using these measurements, significant variables could be observed in %MVC and forearm lengths (P<0.05). The empirical models were assessed by these models using forearm length as the additional factor. Mean absolute deviations (MAD) between the measured METs amd the two empirical models were about 19.4 [s], but MAD using models applied forearm lengths were reduced to about 16.2 [s]. The correlation coefficients and intraclass correlation coefficients were about 0.87, but those applied forearm lengths were increased to about 0.91. These results demonstrated that forearm length was a significant additional factor to the empirical model.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.783-791
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• 2022

This Research is a descriptive study conducted to identify the academic stress, interpersonal relationships, and degree of adaptation to college life of nursing students who experienced COVID-19, and to identify factors influencing college life adaptation. The subjects of the research were sophomore students enrolled in 3 university nursing departments in G city. For data analysis, descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis were analyzed. The research result showed a significant negative correlation (r=-.584, p<.001) for academic stress and college life adaptation, and a significant positive correlation (r=.505, p<.001) for interpersonal relationships and college life adaptation. The regression model to confirm the influencing factors on college life adaptation was shown to be significant (F=64.462 p<.001). Academic stress (β=-.542, p<.001), interpersonal relationships (β=.339, p<.001), and housing type (β=.199, p<.001) were found to be significant predictive factors. The explanatory power of these variables was 54.6%. Through the results of this research, it will be possible to provide basic data for developing educational programs to reduce academic stress, improve positive and smooth interpersonal relationships, and improve emotional support for college life adaptation.