• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.357-365
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• 2023

Purpose : The purpose of this study was to examine the effect of nursing students' experience of verbal violence on major satisfaction, practice satisfaction, and nursing professionalism. Data were collected 237 237 3rd and 4th grade nursing students from two nursing colleges located in G and P cities, and the structured questionnaire was analyzed The results of the study showed that major satisfaction was significantly different according to gender (F=1,50, p<.001), grade (F=-2.38, p<.001), and motivation for choosing nursing (t=6.79, p<.000). appeared to have a difference. The experiences of verbal violence were related to major satisfaction (r=-.298, p<.001), practice satisfaction (r=.-.348, p<.001), and professionalism (r=.-.4071, p<.001). It was found that there was a statistically significant negative (-) correlation. Factors influencing the subject's experience of verbal violence include professionalism (β=.305, p<.001), satisfaction with major (β=259, p<.001), and satisfaction with practice (β=142, p=.003). ), and the explanatory power of these variables was 25.9%. It is necessary to develop a program that can cope with verbal violence of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.219-228
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• 2023

The purpose of this study is to find out the competence of porspective speech and language pathologist according to Clinical practicums and to use it as basic data in guiding porspective speech and language pathologist. The porspective speech and language pathologist competence consisted of tasks, knowledge, skills, and language areas, and a total of 36 questionnaires were organized by dividing the language areas into sub-areas of smantics, morphology and pragmatics. A total of 105 questionnaires were collected from students with experience in Clinical practicums. A t-test, Pearson correlation analysis, and simple regression analysis were conducted to analyze the competence of porspective speech and language pathologist according to whether or not they practiced. The results of this study are as follows. First, there were significant differences between groups in all areas of knowledge, tasks, skills, and language in the competence area. Second, there was a very strong correlation between competence and language sub-areas. Third, it was found that it had a significant explanatory power in the sub-area of competence and language areas, and had a positive effect on the competence of porspective speech and language pathologist. This study is meaningful in that it should be based on theoretical knowledge of language elements to enhance the competence of porspective speech and language pathologist, and it can be confirmed that theory affects the competence of porspective speech and language pathologist. It is expected to be meaningfully used as a basis for efficient teaching methods based on the improvement of the capabilities of porspective speech and language pathologist, training training professional language rehabilitators, and theory, and theory.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.218-236
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• 2023

This study attempted to analyze the environmental equity of fine dust(PM₁₀) in Daegu using MGWR(Multi-scale Geographically Weighted Regression) and KT(Korea Telecom Corporation) sensor data. Existing national monitoring network data for measuring fine dust are collected at a small number of ground-based stations that are sparsely distributed in a large area. To complement these drawbacks, KT sensor data with a large number of IoT(Internet of Things) stations densely distributed were used in this study. The MGWR model was used to deal with spatial heterogeneity and multi-scale contextual effects in the spatial relationships between fine dust concentration and socioeconomic variables. Results indicate that there existed an environmental inequity by land value and foreigner ratio in the spatial distribution of fine dust in Daegu metropolitan city. Also, the MGWR model showed better the explanatory power than Ordinary Least Square(OLS) and Geographically Weighted Regression(GWR) models in explaining the spatial relationships between the concentration of fine dust and socioeconomic variables. This study demonstrated the potential of KT sensor data as a supplement to the existing national monitoring network data for measuring fine dust.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.141-151
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• 2023

This study aimed to investigate the influence of learning flow, career decision-making self-efficacy, and major satisfaction on career preparation behaviors among nursing students. Data were collected by questionnaire from 15th September 2022 to 14th October 2022, from 208 nursing students at universities in provinces the G and J. And the data answered to the questionnaire were analyzed by descriptive analysis, t-test, One-way ANOVA, Pearson's correlation, and Stepwise Regression Analysis. As a result of this study, career preparation behaviors was analysed based on learning flow (r=.515, p<.001), career decision-making self-efficacy (r=.681, p<.001) and major satisfaction (r=.621, p<.001). The results of the multiple regression analysis showed that the influential factors on career preparation behaviour were career decision-making self-efficacy (𝛽=.446, p<.001), major satisfaction (𝛽=.285, p<.001), third grade (𝛽=.157, p=.001), learning flow (𝛽=.133, p=.018), and second grade (𝛽=.106, p=.038), and the explanatory power of the career preparation behavior was 57.0%. Therefore, there is a need to provide customised education through a career programme that takes into account the career path chosen by nursing students.

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.153-159
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• 2024

This study is a descriptive research study to determine the relationship between middle-aged women's social support, resilience and quality of life, and to identify factors that affect quality of life. The participants were 162 middle-aged women in G City. Data was collected from May 10 to June 10, 2023. Data were analyzed through descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regression using SPSS 25.0 program. The social support was 3.36±0.38, resilience was 3.39±0.42, and quality of life was 3.18±0.50. Quality of life was positively correlated with social support(r=.502, p<.001), resilience(r=.530, p<.001). Factors that have a significant impact on quality of life include resilience(β=.422, p<.001), social support(β=.412, p<.001) and health status(β=.212, p=.001). The total explanatory power of these variables on quality of life was 39.2%. Therefore, it is necessary to develop effective programs and strategies to improve the quality of life of middle-aged women by improving their resilience, social support, and health status.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.61-77
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• 2024

The purpose of this study was to develop a method for rapidly diagnosing urban thermal comfort using Unmanned Aerial Vehicle (UAV) based data. The research was conducted at Changwon National University's College of Engineering site and Yongji Park, both located in Changwon, Gyeongsangnam-do. Baseline data were collected using field measurements and UAVs. Specifically, the study calculated field measurement-based thermal comfort indices PET and UTCI, and used UAVs to create and analyze vegetation index (NDVI), sky view factor (SVF), and land surface temperature (LST) images. The results showed that UAV-predicted PET and UTCI had high correlations of 0.662 and 0.721, respectively, within a 1% significance level. The explanatory power of the prediction model was 43.8% for PET and 52.6% for UTCI, with RMSE values of 6.32℃ for PET and 3.16℃ for UTCI, indicating that UTCI is more suitable for UAV-based thermal comfort evaluation. The developed method offers significant time-saving advantages over traditional approaches and can be utilized for real-time urban thermal comfort assessment and mitigation planning

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.241-249
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• 2024

This study was conducted to identify job stress, nursing work environment, and turnover intention for nurses at COVID-19 dedicated hospital, and to identify factors influencing turnover intention. From September 1 to September 27, 2022, 144 nurses at a COVID-19 dedicated hospital in the I area were collected. The collected data used the SPSS Statistics 23.0 program. As a result of the study, the intention to turnover according to general characteristics showed significant differences in work experience (F=11.20, p<.001), and by position (F=4.09, p=.009). In addition, turnover intention showed a significant correlation with job stress (r=.561, p<.001) and nursing work environment (r=-.382, p<.001). The factors influencing turnover intention were job stress (β=.46, p<.001), work experience of more than 11 years (β=.34, p<.001), work experience of 3-10 years (β=.20, p=.022), nursing work environment (β=-.22, p=.001), and 43.9% of explanatory power. Accordingly, in order to reduce the intention to turnover of nurses at hospitals dedicated to COVID-19, it is necessary to create measures to reduce job stress and an efficient nursing work environment considering the characteristics of work by career in infectious disease situations.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.91-98
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• 2024

With the advancement of ICT (Information and Communication Technology), searching for judgments through the internet has become increasingly convenient. However, predicting sentencing based on judgments remains a challenging task for individuals. This is because sentencing involves a complex process of applying aggravating and mitigating factors within the framework of legal provisions, and it often depends on the subjective judgment of the judge. Therefore, this research aimed to develop a model for predicting sentencing using artificial intelligence by focusing on structuring the data from judgments, making it suitable for AI applications. Through theoretical and statistical analysis of previous studies, we identified variables with high explanatory power for predicting sentencing. Additionally, by analyzing 50 legal judgments related to serious crimes that are publicly available, we presented a framework for extracting essential information from judgments. This framework encompasses basic case information, sentencing details, reasons for sentencing, the reasons for the determination of the sentence, as well as information about offenders, victims, and accomplices evident within the specific content of the judgments. This research is expected to contribute to the development of artificial intelligence technologies in the field of law in the future.

• Environmental and Resource Economics Review
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• v.33 no.1
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• pp.1-32
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• 2024

The emissions trading system stands as a pivotal climate policy in Korea, incentivizing abatement equivalent to 87% of total emissions (as of 2021). As the system likely has a far-reaching impact, it is crucial to understand how the real economic activity, energy sector, as well as environment would be influenced by its implementation. Employing a macroeconometric model, this paper is the first study analyzing the effects of the Korean emissions trading policy. It interconnects the Korean Standard Industrial Classification (Economy), Energy Balance (Energy), and National Inventory Report (Environment), enhancing its real-world explanatory power. We find that a 50% increase in emission permit price over four years results in a decrease in greenhouse gas emissions (-0.043%) and downward shifts in key macroeconomic variables, including real GDP (-0.058%), private consumption (-0.003%), and investment (-0.301%). The price increase in emission permit is deemed crucial for achieving greenhouse gas reduction targets. To mitigate transition risk associated with price shocks, revenue recycling using auction could ensure the sustainability of the economy. This study confirms the comparative advantage of expanded current transfers expenditure over corporate tax reduction, particularly from an economic growth perspective.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.89-96
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• 2024

This is a descriptive research study to confirm the mediating effect of empathy in the relationship between communication skills and interpersonal relationship of MZ generation nursing students. The subjects of this study were 129 nursing students born in 1981 to 2006, corresponding to the MZ generation, and the data collection period was from May 20 to July 30, 2023. The collected data were analyzed using the SPSS 25.0 program, and the mediating effect of empathy was tested by Baron and Kenny's three-step mediating effect verification procedure, and Sobel test was conducted to test the statistical significance of the mediating effect. As a result of the analysis, communication skills (β=.45, p<.001) and empathy (β=.18, p=.008) had a significant effect on interpersonal relationship. These variables were found to have 48.4% explanatory power for interpersonal relationship. Empathy had a partial mediating effect (z=2.39, p=.016) in the relationship between communication skills and interpersonal relationship. Based on the results of this study, it is necessary to understand the characteristics of the MZ generation familiar with the non-face-to-face culture that will be in charge of future nursing and to develop effective programs to improve their interpersonal relationship.