• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.56-65
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• 2019

The purpose of this study was to identify factors associated with character of nursing students using ecological theory. A descriptive cross-sectional study was conducted with 296 nursing students. Collected data from self report questionnaires were analyzed using descriptive statistics, t-test, ANOVA and multiple regression with SPSS WIN 21.0. The Results of this study were as follows. A total of 2 models were examined according to individual, microsystem in ecological system theory. In the first model including individual factors, positive emotion, communication ability were significant factors explain character of nursing students. In the second model adding micro system factors family strength and major satisfaction found to be significant factors. The prediction factors of nursing student' character were communication ability (${\beta}=.431$, p<.001), major satisfaction (${\beta}=.310$, p<.001) and family strength (${\beta}=.176$, p<.001). The explanation power was 55.6%. These results showed that factors affecting character of nursing students are communication ability, major satisfaction, and family strength. Therefore, we suggest to develop various character education programs considering these factors.

• Korean Journal of Psychosomatic Medicine
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• v.26 no.2
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• pp.86-93
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• 2018

Objectives : The purpose of this study was to investigate the association between the insulin resistance and depressive mood, suicidal ideation, psychological stress, and quality of life in general Korean population. Methods : We selected 3,613 subjects from the third year's data of 6th Korean National Health and Nutritional Examination Survey. Insulin resistance was evaluated with Homeostatic Model Assessment of Insulin Resistance. Questionnaires on depressive mood, suicidal ideation and psychological stress were conducted. The quality of life was assessed with the EuroQol-5 dimension index. We used correlation and regression analysis for analysis. Results : The risk of depressive mood and suicidal ideation was significantly higher in the insulin resistance group than in the control group. The risk of psychological stress was significantly higher in the male group with insulin resistance. The EuroQol-5 dimension index showed a negative correlation with insulin resistance. After adjusting for age, sex and body mass index, increased risk of suicidal ideation was identified only. Conclusions : We confirmed that insulin resistance is associated to mental health problems related with depression in Korean adults.

• Journal of Biomedical Engineering Research
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• v.39 no.6
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• pp.229-236
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• 2018

Liver cancer is one of the highest incidents in the world, and the mortality rate is the second most common disease after lung cancer. The purpose of this study is to evaluate the diagnostic ability of deep learning in the classification of malignant and benign tumors in CT images of patients with liver tumors. We also tried to identify the best data processing methods and deep learning models for classifying malignant and benign tumors in the liver. In this study, CT data were collected from 92 patients (benign liver tumors: 44, malignant liver tumors: 48) at the Gil Medical Center. The CT data of each patient were used for cross-sectional images of 3,024 liver tumors. In AlexNet and VggNet, the average of the overall accuracy at each image size was calculated: the average of the overall accuracy of the $200{\times}200$ image size is 69.58% (AlexNet), 69.4% (VggNet), $150{\times}150$ image size is 71.54%, 67%, $100{\times}100$ image size is 68.79%, 66.2%. In conclusion, the overall accuracy of each does not exceed 80%, so it does not have a high level of accuracy. In addition, the average accuracy in benign was 90.3% and the accuracy in malignant was 46.2%, which is a significant difference between benign and malignant. Also, the time it takes for AlexNet to learn is about 1.6 times faster than VggNet but statistically no different (p > 0.05). Since both models are less than 90% of the overall accuracy, more research and development are needed, such as learning the liver tumor data using a new model, or the process of pre-processing the data images in other methods. In the future, it will be useful to use specialists for image reading using deep learning.

• (The)Korea Educational Review
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• v.24 no.3
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• pp.167-189
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• 2018

Using the 1st to 5th wave data from Gyeonggi Education Panel Study(GEPS), this study analyzed the change of school effectiveness of middle schools by innovation school expansion in Gyeonggi province. For this purpose, the analysis employed difference-in-difference model with repeated cross-sectional data and the dependent variable was comprised of academic achievement, school satisfaction, creativity, and sense of community. Results showed that the effectiveness of innovation schools had not significantly different from general schools before innovation school expansion but significantly improved in academic achievement and school satisfaction compared to general schools after the policy applied. On the other hand, the school effectiveness in creativity and sense of community not significantly different between innovation and general schools in both before and after. As time passes, the effectiveness of existing innovation schools in the academic achievement was improved and the school satisfaction was maintained. In addition, the effectiveness in satisfaction of the schools was improved as general schools with high effectiveness in academic achievement were transformed into innovation schools. Based on the results, the policy for innovation school expansion was evaluated and the issues related to this policy were discussed.

• Knowledge Management Research
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• v.22 no.2
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• pp.189-208
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• 2021

The purpose of this study was to identify the effect of education service quality (quality of professor service, quality of curriculum service) on career decision-making, self-efficacy, career decision level, and career preparation behavior. Appropriate measures were developed and tested on 426 respondents of Gyeongnam province in South Korea with a cross-sectional questionnaire survey. To ensure the reliability and validity of the questionnaire, frequency analysis, reliability analysis, and validity analysis were conducted. To ensure the reliability and validity of the measurement model, the CFA(confirmatory factor anlaysis) were conducted. The SEM(structural equation modeling) analysis was undertaken to perform the path analysis among the variables and to assess the suitability of the model. MCFA(multi group CFA) and MSEM(multi group SEM) were performed to confirm the moderation effect. Results of the study are summarized as follows: Firstly, education service quality has positive effects on career decision-making self-efficacy. Second, career decision-making self-efficacy has positive effects on career decision level and career reparation behavior. Third, career decision level has positive effects on career reparation behavior. Finally, it was found there exists a moderating effect of freshman/registered student between education service quality, career decision-making self-efficacy, career decision level, career preparation behavior. As a result of this study, it is suggested that investigation of extraneous variables which help to improve career preparation behavior and career decision level as for career of university student will contribute to university education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.595-602
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• 2021

This study evaluates the impact of an information security policy sanction, a perceived threat, and the perception of the information security climate on a compliance behavioral intention. The research method was structured with a cross-sectional study design for the prospect and goal orientation. The variables used in the analysis are information security policy sanction, perceived threat, perception of information security climate, and compliance behavioral intention. Progress in this research consists of measuring the prospect and goal orientation, and then measuring the four variables. As a result, the prospect had a significant effect on the perception of the information security climate, and it was found that the influence of the gain-based condition was greater than the loss-based condition. Goal orientation had a significant effect on the information security policy sanction, the perceived threat, and the compliance behavioral intention, and the influence of the development-based condition was greater than the stability-based condition. Both prospect and goal orientation had an interactive effect on the compliance behavioral intention. The exploration model was verified as a mediation model. In addition, the discussion includes the appropriate implications for information security based on these research results.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.2
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• pp.9-17
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• 2022

To take into account of the increasing speed of next generation high-speed trains, a new design code for the traffic safety of railway bridges is required. To solve dynamic responses of the bridge, this research offers a numerical analyses of PSC (Pre-stressed Concrete) box girder bridge, which is most representative of all the bridges on Gyungbu high-speed train line. This model takes into account of the inertial mass forces by the 38-degree-of-freedom and interaction forces as well as track irregularities. Our numerical analyses analyze the maximum vertical deflection and DAF (Dynamic Amplification Factor) between simple span and two-span continuous bridges to show the dynamic stability of the bridge. The third-order polynomial regression equations we use predict the maximum vertical deflections depending on varying running speeds of the train. We also compare the vertical deflections at several cross-sectional positions to check the influence of running speeds and the maximum irregularity at a longitudinal level. Moreover, our model analyzes the influence lines of vertical deflection accelerations of the bridge to evaluate traffic safety.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.2
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• pp.43-50
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• 2022

Even though the structural safety is confirmed in the design stage, the structural safety is not guaranteed in the construction stage because the structural system is not completed. In addition, since the construction period is shorter than the period of use of the building after completion, it is excessive to apply the same seismic load to the construction stage as in the design stage. ASCE 37-14 presents the concept of seismic load reduction factor during construction, but does not provide a clear application method. Therefore, in this study, the seismic load reduced according to the return period was applied to the example model of a residential middle-rise RC building. The construction stage of the example model was divided into five-story units, and seismic load with the change of the return period was applied to the construction stage models to analyze the change of seismic load during construction and to check the sectional performances of structural members. By comparing the design strength ratio of the shear wall at the design stage and the construction stage, the range of seismic load magnitudes that can assure the safety during construction of a residential middle-rise RC building was analyzed in terms of the return period.

• Journal of Gastric Cancer
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• v.23 no.2
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• pp.355-364
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• 2023

Background: There are no clear guidelines to determine whether to perform D1 or D1+ lymph node dissection in early gastric cancer (EGC). This study aimed to develop a nomogram for estimating the risk of extraperigastric lymph node metastasis (LNM). Materials and Methods: Between 2009 and 2019, a total of 4,482 patients with pathologically confirmed T1 disease at 6 affiliated hospitals were included in this study. The basic clinicopathological characteristics of the positive and negative extraperigastric LNM groups were compared. The possible risk factors were evaluated using univariate and multivariate analyses. Based on these results, a risk prediction model was developed. A nomogram predicting extraperigastric LNM was used for internal validation. Results: Multivariate analyses showed that tumor size (cut-off value 3.0 cm, odds ratio [OR]=1.886, P=0.030), tumor depth (OR=1.853 for tumors with sm2 and sm3 invasion, P=0.010), cross-sectional location (OR=0.490 for tumors located on the greater curvature, P=0.0303), differentiation (OR=0.584 for differentiated tumors, P=0.0070), and lymphovascular invasion (OR=11.125, P<0.001) are possible risk factors for extraperigastric LNM. An equation for estimating the risk of extraperigastric LNM was derived from these risk factors. The equation was internally validated by comparing the actual metastatic rate with the predicted rate, which showed good agreement. Conclusions: A nomogram for estimating the risk of extraperigastric LNM in EGC was successfully developed. Although there are some limitations to applying this model because it was developed based on pathological data, it can be optimally adapted for patients who require curative gastrectomy after endoscopic submucosal dissection.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.6C
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• pp.259-266
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• 2009

The steel pipe of steel-concrete composite piles increases the pile strength and induces the ductile failure by constraining the deformation of the inner concrete. In this research, the numerical models and the related input parameters were analyzed to simulate the axial load-movement relations, which were obtained from the compression loading tests for the cylindrical specimens of the steel pipe, the concrete, and the steel-concrete composite. As the results, the behavior of the steel pipe was simulated by the von-Mises model and that of the concrete by the strain-softening model, which decreases cohesion and dilation angles as the function of plastic strains. In addition, the reinforcing bars in the concrete were simulated by applying the yielding moment and decreasing the sectional area of the bars. The applied numerical models properly simulated the yielding behavior and the reinforcement effect of the steel-concrete composite piles. The parametric study for the real-size piles showed that the material strength of the steel-concrete composite pile increased about 10% for the axial loading and about 20~45% for the horizontal loading due to the reinforcement effect by the surrounding steel pipe pile.