• Journal of Industrial Convergence
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• v.21 no.2
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• pp.43-52
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• 2023

This study was conducted to examine the relationship of the COVID-19-related anxiety, self-efficacy, resilience, and professional competence of nurses working in hospitals where COVID-19 patients are hospitalized. Additionally, this study attempted to identify factors that affect the professional competence of nurses. Using a cross-sectional descriptive study design, an online survey of 120 nurses working at hospitals where COVID-19 patients were hospitalized was conducted between February 9 and February 19, 2021. Pearson's correlations were used to assess correlations between the main variables, and stepwise multiple regression was used to identify factors influencing professional competence. Results of the study showed that the professional competence of nurses was positively correlated with self-efficacy (r=.58, p<.001) and resilience (r=.56, p<.001). The correlation between professional competence and COVID-related anxiety was not significant (r=-.03, p=.766). Factors affecting professional competence included self-efficacy (β=.36, p=.004) and resilience (β=28, p=.021). The model explained approximately 35% of the variance in nurse professional competence (F=33.65, p<.001). To fully demonstrate the professional competence of nurses during the COVID-19 pandemic, institution-based programs should be developed and applied to improve their self-efficacy and resilience. In order to prevent the burnout of nurses in the longer-than-expected COVID-19 pandemic, efforts and policies at the nursing organization level are needed to systematically manage and monitor self-efficacy and resilience of nurses.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.374-384
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• 2023

Universities that previously targeted in 20s have recently diversified their operation methods, founding purposes, and target. With a significant decrease in the school-age population relative to the number of universities, universities are making their best efforts to secure new students and minimize student attrition. In this study, an online survey was conducted to empirically examine the effects of motivation for major selection and sense of belonging on learning persistence intention among students in beauty-related departments at 2-year and 4-year general universities and cyber universities. The collected data from 119 students at general universities and 113 students at cyber universities were analyzed using SPSS 28. The key findings can be summarized as follows: For general universities, motivation for major selection did not have a significant effect on learning persistence intention, but sense of belonging had a significant positive effect. Additionally, an interaction effect was observed, indicating that as the sense of belonging increased, extrinsic motivation significantly increased learning persistence intention. For cyber universities, intrinsic motivation and sense of belonging among motivations for major selection had a significant positive effect on learning persistence intention, while the moderating effect of sense of belonging in the relationship between motivation for major selection and learning persistence intention was not significant. In summary, for general universities, the factor that influenced students' learning persistence intention was a sense of belonging to the university, while for cyber universities, intrinsic motivation played a significant role. These findings are expected to provide meaningful insights and data for universities to develop effective policies for preventing student attrition.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.115-126
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• 2023

Purpose : This study sought to determine the influence of nursing students' self-leadership, empathic ability, and depression on their interpersonal skills. Methods : This study applied a descriptive survey research design involving a self-report questionnaire. The participants were 315 nursing students in B city. Data were collected from April 27 to May 6, 2022. The data were analyzed using the percentage, mean, standard deviation, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients, and multiple regression with IBM SPSS/WIN 23.0 program. Results : The participants' self-leadership score was 3.63±.65, their empathic ability score was 3.35±.40, their depression score was .84±.50, and their interpersonal skills score was 3.64±.80. Among the sub-categories, others' temperament scored the highest at 3.70±.86, followed by communication at 3.67±.86 and promoting relationships at 3.53±.86. Interpersonal skills were positively correlated with both self-leadership (r=.48, p<.001) and empathic ability (r=.33, p<.001). Self-leadership was positively correlated with empathic ability (r=.17, p<.05), but, negatively correlated with depression (r=.27, p<.001). The multiple regression analysis revealed, that the factors with the most significant effect on promoting relationships were, in descending order, self-leadership (β=.49, p<.001), empathic ability (β=.19, p<.001), and gender (β=.10, p=.033); the factors affecting others' temperament were, in descending order, self-leadership (β=.37, p<.001), empathic ability (β=.30, p<.001), severe depression (β=.14, p=.008), gender (β=.13, p=.010), and grade (β=-.13, p=.037); while the factors affecting communication were, in descending order, self-leadership (β=.41, p<.001), empathic ability (β=.23, p<.001), and gender (β=.11, p=.035). Moreover, the explanatory power of promoting relationships scored the highest at 31 %, followed by others' temperament at 27 % and communication at 26 %. Conclusion : The results of this study reveal the factors that influence the interpersonal skills of nursing students. To increase the interpersonal skills of nursing students, it is necessary to develop and apply regular curricula and programs designed to strengthen their self-leadership and empathic ability and to reduce their depression through reflecting differences between genders and grades.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.123-135
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• 2023

In liberal SW education, nurturing student with creative problem-solving ability based on SW is considered important. The purpose of this study is to design SW education and to investigate the effects on students' computational thinking and creative problem solving abilities. This study designed classes in accordance with convergent project and the CT-CPS model and 38 undergraduate students have participated this study. The questionnaire survey was given to students and analyzed the effectiveness of class. The results of this study were as follows: Fitst, SW education significantly improved computational thinking and creative problem solving ability. Second, computational thinking improve significantly in high and low initial score group and creative problem solving improve significantly in low initial score group. However, creative problem solving ability did not improve significantly in high initial score group. Third, computational thinking improve significantly in all majors and creative problem solving improve significantly in college of natural science. However, creative problem solving ability did not improve significantly in college of humanities and social science. In examining the effects on students' computational thinking and creative problem-solving abilities and verify differences by pre-test and major, this study provides significance in expanding the understanding about the nature liberal SW education.

• Journal of Korean Clinical Nursing Research
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• v.16 no.2
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• pp.95-105
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• 2010

Purpose: The purpose of this study was to identify the research trend of 341 studies published in Journal of Korean Clinical Nursing Research from 1995 to 2008. Methods: This study was conducted from May to November, 2009. The tool for analysis developed through literature reviews and discussions of researchers consisted of 7 categories such as characteristics of researchers, research designs, subjects, data collection methods, ethical consideration, nursing interventions, and dependent variables. Data were analyzed by frequency and percentage. Results: The mean number of author per study was 4.7, and clinical nurses were the most frequent as the first author (79.7%) and as a corresponding author (67.1%). Quantitative study was 97.6% and nonexperimental study was 51.7%. The most frequently used research designs were quasi-experimental study (73.9%) among experimental studies and survey study (79.1%) among nonexperimental studies. Patients were the most frequent subjects for studies (55.8%). 46.1% of studies gathered data with questionnaire, 57.7% of studies had consent from patients, and 44.3% of studies used nursing skills for nursing interventions, and 60.0% of studies used clinical end points for dependent variables. Conclusion: The research trend of clinical nursing studies shows that clinical nurses mostly perform quasi-experimental researches to solve patients' problem and frequently use nursing skills for nursing intervention and explore the effect of nursing interventions on clinical end points.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.192-207
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• 2023

Commercialization of level-4 (Lv.4) autonomous driving applications requires the definition of a safe road environment under which autonomous vehicles can operate safely. Thus, a risk assessment model is required to determine whether the operation of autonomous vehicles can provide safety to is sufficiently prepared for future real-life traffic problems. Although the risk factors of autonomous vehicles were selected and graded, the decision-making method was applied as qualitative data using a survey of experts in the field of autonomous driving due to the cause of the accident and difficulty in obtaining autonomous driving data. The fuzzy linguistic representation of decision-makers and the fuzzy analytic hierarchy process (AHP), which converts uncertainty into quantitative figures, were implemented to compensate for the AHP shortcomings of the multi-standard decision-making technique. Through the process of deriving the weights of the upper and lower attributes, the road alignment, which is a physical infrastructure, was analyzed as the most important risk factor in the operation risk of autonomous vehicles. In addition, the operation risk of autonomous vehicles was derived through the example of the risk of operating autonomous vehicles for the 5 areas to be evaluated.

• Journal of the Korean Geotechnical Society
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• v.26 no.7
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• pp.147-159
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• 2010

The settlement prediction is very important in preloading method for a construction site on the soft ground. At the design stage, however, it is hard to predict the settlement exactly due to limitations of the site survey. Most of the settlement prediction is performed by a regression settlement curve based on the field data during construction. In Korea, hyperbolic method has been most commonly used to align the settlement curve with the field data, because of its simplicity and many application cases. The results from hyperbolic method, however, may differ by data selections or data fitting methods. In this study, the analyses using hyperbolic method were performed about the field data of $\bigcirc\bigcirc$ site in Pusan. Two data fitting methods, using an axis transformation or an alternative method which is a direct regression method, were applied with various data groups. If data was used only after the ground water level being stabilized, fitting results using both methods were in good agreement with the measured data. Regardless of the information about the ground water level, the alternative method gives better results with the field data than the method using an axis transformation.

• Journal of Korea Trade
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• v.26 no.7
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• pp.145-166
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• 2022

Purpose - The field of online videos has seen rapid changes in information and communications technology (ICT) development. Despite active academic research on the use of online platforms, few studies have analyzed the relative importance among the factors determined. In this study, the relative importance of factors found in previous studies was identified for users of online video platforms in China and Korea. Through this, factors that should be considered first in research on online video use were derived. In addition, the quality level of online video platforms currently used in China and Korea was measured and used for analysis. The analysis results can provide information for companies to enter Chinese and Korean markets and also be useful to platform providers aiming to increase usage. Design/methodology - Among the factors of Online Video Usage identified in previous studies, 13 factors to be studied were selected through focus group interviews and hierarchized into 2 layers. For the analytic hierarchy process (AHP), each factor was designed as a pairwise comparison questionnaire. The survey included questions on the quality of online video platform currently in use. Data collection was conducted on 16 platforms in China and 11 platforms in Korea, and the relative importance of factors and user perspectives was compared and analyzed using importance performance analysis (IPA). In the analytical process, platforms were divided into over-the-top (OTT) group and Creator group according to the weight of user-generated content, and data analysis focused on these groups. Findings - As a result of AHP, China and Korea showed both "Fun" and "Interests" factors at the top, while the importance of the Entertainment factor "Vicarious satisfaction" was very different for China and Korea. "Relationship with content creators" was the most important factor in China, but it ranked the lowest in Korea. The IPA showed that the factors with high importance and performance were fun, interests, and easy accessibility for both China and Korea. In contrast, the factors that showed low performance compared to high importance in China were relationship with content creators, relationship with acquaintances/friends, and trustworthiness. As for Korea, vicarious satisfaction was observed; thus, this study has raised the need for academic and industrial interest in vicarious satisfaction. The results show that fun, interests, vicarious satisfaction, and easy accessibility of the platform are factors that must be included in further studies on online videos. Originality/value - Existing studies related to the use of online platforms have derived factors or focused on the influence relationship between factors and performance. However, few studies have analyzed the relative importance among the determined factors. This paper explores factors to be considered in future studies by deriving the relative importance between these factors from the perspective of users in China and Korea.

• Journal of the Korean Applied Science and Technology
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• v.40 no.2
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• pp.348-354
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• 2023

A tattoo is a cultural form that has been handed down to mankind for a long time. Traditional tattoo customs that have been handed down and developed in the various cultures of mankind have the important value of academic research in various fields such as history, art, society, etc. The Derung people, one of the minorities living in Yunnan Province and nearby areas in the southwest of China, have 'facial tattoo' customs. The traditional culture of the Derung people, which had maintained the form of primitive society until 1949 when the People's Republic of China was established, was passed down through oral tradition, so there are no preserved materials about their tattoo culture, showing the need for research on the culture. Therefore, it was conducted in two ways: a research on modern and contemporary literature and a field trip to Yunnan Province. The exact reason and time of facial tattoo customs are unknown, but the customs disappeared after being banned in 1966 due to the Chinese Cultural Revolution. The symbols and functions of facial tattoos can be largely divided into four categories, including religious worship, coming-of-age ceremonies, aesthetic decorations, and ethnic and social history, through an on-site survey and research by modern and contemporary scholars. And, it is known that women of the Derung People get tattoos from the age of 7 to 8. The design of facial tattoos became more complicated for upper-class women and simpler for lower-class women depending on the area they live. Tattoos are mainly performed by relatives, and mainly bamboo skewers and lixivium extracted from the bottom of the pot are used as the materials. Currently, there are fewer than 25 women of the Derung people with facial tattoos, and most of them are elderly. Therefore, they seem to disappear altogether within a few decades. Therefore, it is urgent to have documentation on the unique facial tattoo culture of the Derung people.

• Journal of the Korean Geotechnical Society
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• v.38 no.3
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• pp.35-42
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• 2022

The N-value from the Standard Penetration Test (SPT), which is one of the representative in-situ test, is an important index that provides basic geological information and the depth of the bearing layer for the design of geotechnical structures. In the aspect of time and cost-effectiveness, there is a need to carry out a representative sampling test. However, the various variability and uncertainty are existing in the soil layer, so it is difficult to grasp the characteristics of the entire field from the limited test results. Thus the spatial interpolation techniques such as Kriging and IDW (inverse distance weighted) have been used for predicting unknown point from existing data. Recently, in order to increase the accuracy of interpolation results, studies that combine the geotechnics and deep learning method have been conducted. In this study, based on the SPT results of about 22,000 holes of ground survey, a comparative study was conducted to predict the depth of the bearing layer using deep learning methods and IDW. The average error among the prediction results of the bearing layer of each analysis model was 3.01 m for IDW, 3.22 m and 2.46 m for fully connected network and PointNet, respectively. The standard deviation was 3.99 for IDW, 3.95 and 3.54 for fully connected network and PointNet. As a result, the point net deep learing algorithm showed improved results compared to IDW and other deep learning method.