• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.4
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• pp.446-454
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• 2023

The impact of climate change on agriculture is substantial, especially as global warming is projected to lead to varying temperature and humidity patterns in the future. These changes pose a higher risk for both crops and livestock, exposing them to environmental stressors under altered climatic conditions. Specifically, as temperatures are expected to rise, the risk of heat stress is assessable through the Temperature-Humidity Index (THI), derived from temperature and relative humidity data. This study involved the comparison of THI collected from 10 Korea Meteorological Administration ASOS stations spanning a 60-year period from 1961 to 2020. Moreover, high-resolution temperature and humidity distribution data from 1981 to 2020 were employed to generate high-resolution TH I distributions, analyzing temporal changes. Additionally, the number of days characterized by heat stress, derived from TH I, was compared over different time periods. Generally, TH I showed an upward trend over the past, albeit with varying rates across different locations. As TH I increased, the frequency of heat stress days also rose, indicating potential future cost increases in the livestock industry due to heat-related challenges. The findings emphasize the feasibility of evaluating heat stress risk in livestock using THI and underscore the need for research analyzing THI under future climate change scenarios.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.29-37
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• 2024

The purpose of this study is to investigate the impact of education applying the Havruta learning method in fundamentals nursing classes for nursing students on problem-solving ability, self-directed learning ability, critical thinking disposition, and learning commitment. One-group pretest-posttest design was used. Nursing students received training applying the Havruta learning method for 6 weeks (12 hours) in fundamentals nursing classes. The study was conducted from September 18 to November 6, 2023. Data were analyzed using SPSS/WIN 28.0 with mean, standard deviation, and paired samples t-test. problem-solving ability (t=4.52, p<.001), self-directed learning ability(t=-4.61, p<.001), critical thinking disposition(t=-4.10, p<.001) significantly increased before and after the 6-week Havruta learning method training for nursing students. However, there was no statistically significant difference in learning commitment (t=-0.28, p=.782). The Havruta learning method is an effective nursing education tool for improving problem-solving ability, self-directed learning ability, and critical thinking disposition. The results of this study can serve as basic data for nursing professors when planning teaching and learning strategies using Havruta. Research will be needed to utilize the Havruta learning method in various classes and evaluate its effectiveness.

• The Journal of Internal Korean Medicine
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• v.44 no.4
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• pp.661-674
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• 2023

Abstract: This retrospective study delved into the effects and safety considerations associated with the concomitant usage of hypoglycemic agents and herbal extracts, specifically Pyeongwi-san (PWS) or HyangsaPyongwi-san (HSPWS) in the context of type 2 diabetes mellitus management. Methods: The investigation involved 38 inpatients with type 2 diabetes mellitus who received PWS or HSPWS treatment at Kyung Hee University Korean Medical Hospital from January 2012 to December 2022. By investigating clinical attributes and conducting laboratory assessments, this study aimed to discern the impact of these herbal extracts on blood glucose levels, encompassing fasting blood sugar (FBS) and mean 2-hour postprandial glucose (PP2) levels. Furthermore, the safety profile of the herbal extracts was assessed by comparing liver function indicators, including aspartate aminotransferase (AST), alanine aminotransferase (ALT), and γ-glutamyl transferase (GGT), alongside kidney function markers, such as blood urea nitrogen (BUN) and creatinine (Cr). Results: Following the administration of the herbal extracts, no statistically significant alterations in FBS and mean PP2 levels emerged compared to the baseline levels. Notably, the safety evaluation revealed no significant differences in liver and kidney function parameters following herbal extract administration. Conclusion: The results of this research indicate that using PWS or HSPWS alongside hypoglycemic medications could be a beneficial additional method for addressing digestive symptoms in individuals with type 2 diabetes mellitus. Notably, this combination seems to have no negative interactions with other drugs.

• Journal of Industrial Convergence
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• v.21 no.10
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• pp.141-150
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• 2023

The purpose of this study is to empirically analyze the impact of role stress (role conflict, role ambiguity, and role overload) on career commitment and turnover intention in small and medium-sized hospital workers in Busan. The subjects of the study were 418 nursing and administrative workers engaged in hospitals and general hospitals in Busan. Frequency analysis, correlation analysis, and regression analysis were conducted for empirical analysis. The results of the study are as follows. First, significant differences in some research variables were identified according to gender, age, educational background, marital status, and working years. Depending on the job type, there were significant differences in all variables such as role conflict, role ambiguity, role overload, career commitment, and turnover intention. Second, role stress was found to have a significant negative effect on career commitment and a significant positive effect on turnover intention. Among the role stress, it was confirmed that the role overload had the strongest influence on career commitment and turnover intention. This study is meaningful in that it analyzed the influence of role stress, including workers in all occupations, including nursing jobs, and empirically revealed the meaning of role stress as an explanatory variable of career commitment and turnover intention.

• Economic and Environmental Geology
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• v.56 no.5
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• pp.533-545
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• 2023

In this study, an investigation was conducted on the features, events, and processes (FEP) that could impact the long-term safety of the natural barriers constituting high-level radioactive waste geological repositories. The FEP list was developed utilizing the IFEP list 3.0 provided by the Nuclear Energy Agency (NEA) as foundational data, supplemented by geological investigations and research findings from leading countries in this field. A total of 49 FEPs related to the performance of the natural barrier were identified. For each FEP, detailed definitions, classifications, impacts on long-term safety, significance in domestic conditions, and feasibility of quantification were provided. Moreover, based on the compiled FEP list, three scenarios that could affect the long-term safety of the disposal facility were developed. Geological factors affecting the performance of the natural barrier in each scenario were selected and their relationships were visualized. The constructed FEP list and the visualization of interrelated factors in various scenarios are anticipated to provide essential information for selecting and organizing factors that must be considered in the development of mathematical models for quantitatively evaluating the long-term safety of deep geological repositories. In addition, these findings could be effectively utilized in establishing criteria related to the key performance of natural barriers for the confirmation of repository sites.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.2
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• pp.123-136
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• 2023

Upon examining land prices in the eastern district of Gyeongseong, it was observed that there were variations in land prices between the northern and southern areas, with the central part being densely populated with modern facilities such as hospitals, schools, and research institutions. As a result, the eastern district of Gyeongseong was further divided into specific sub-areas, namely the northeastern and southeastern, for a more detailed analysis of the land market in each area. In the northeastern area, factors such as distance from the central area and proximity to planned roads were found to have an impact on land prices. On the other hand, in the southeastern area, the distance between the main road, whice were IHyun Road and Jongro, was identified as a significant influencer of land prices. Therefore, the northeastern area exhibited characteristics of a hinterland, influenced by the concentration of major facilities in the central area, while the southeastern area had a strong commercial orientation, largely shaped by the influence of Jongro as a bustling commercial district. This study is significant in that it sheds light on certain aspects of the modern land market by demonstrating that factors such as accessibility to roads and anchor facilities, as well as the segmentation of the land market, were also influential in the land market a century ago.

• Ecology and Resilient Infrastructure
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• v.10 no.4
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• pp.107-115
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• 2023

High turbidity in source water can have adverse effects on water treatment plant operations and aquatic ecosystems, necessitating turbidity management. Consequently, research aimed at predicting river turbidity continues. This study developed a multi-class classification model for prediction of turbidity using LightGBM (Light Gradient Boosting Machine), a representative ensemble machine learning algorithm. The model utilized data that was classified into four classes ranging from 1 to 4 based on turbidity, from low to high. The number of input data points used for analysis varied among classes, with 945, 763, 95, and 25 data points for classes 1 to 4, respectively. The developed model exhibited precisions of 0.85, 0.71, 0.26, and 0.30, as well as recalls of 0.82, 0.76, 0.19, and 0.60 for classes 1 to 4, respectively. The model tended to perform less effectively in the minority classes due to the limited data available for these classes. To address data imbalance, the SMOTE (Synthetic Minority Over-sampling Technique) algorithm was applied, resulting in improved model performance. For classes 1 to 4, the Precision and Recall of the improved model were 0.88, 0.71, 0.26, 0.25 and 0.79, 0.76, 0.38, 0.60, respectively. This demonstrated that alleviating data imbalance led to a significant enhancement in Recall of the model. Furthermore, to analyze the impact of differences in input data composition addressing the input data imbalance, input data was constructed with various ratios for each class, and the model performances were compared. The results indicate that an appropriate composition ratio for model input data improves the performance of the machine learning model.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.7
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• pp.760-769
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• 2023

A numerical simulations were performed to investigate the storm surge during the passage of Typhoon Maemi on the coast of Busan. The typhoon landed on the southern coasts of Korean Peninsula at 21:00, September 12, 2003 with a central pressure of 950 hPa, and the typhoon resulted on the worst coastal disaster on the coast of Busan in the last decades. Observed storm surges at Busan, Yeosu, Tongyoung, Masan, Jeju and Seogwipo harbors during the passage of the typhoon were compared with the computed data. The simulated storm surge time series were in good agreement with the observations. The simulated peak storm surges were estimated to be 230 cm at Masan harbor, 200 cm at Yeosu harbor and Tongyoung harbor, and 75 cm at Busan harbor. The computed storm surges along the east coast of Busan measure 52 to 55 cm, exhibiting a gradual reduction in surge height as one moves further from the coast of Busan. Therefore, coastal inundation due to the storm surge in the semi-enclosed bay can induce great disasters, and the simulated results can be used as the important data to reduce the impact of a typhoon-induced coastal disaster in the future.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.206-223
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• 2023

The introduction of Smart technologies such as Artificial Intelligence(AI) systems are have a powerful impact in a variety of industry fields. Some experts predict that smart technology will completely change people's daily life and work styles, causing technological innovation, productivity improvement, and discovery and emergence of new fields. On the one hand, this vision cannot ignore negative views and concerns. Despite many social debates about employment, such as job loss and rising unemployment, there have not been many studies based on employee experience that provide a fundamental solution to the conflict between AI and employment. Therefore, this study finds out the effects and related factors of AI concierge robots for hotel employees, focusing on the hotel industry, and how employees' perceptions of AI concierge robots affect user resistance and turnover intention. This study, conducted a questionnaire survey of 322 hotel employees who had experience working with AI concierge robots in China, and used SPSS and SmartPLS statistical analysis programs to draw conclusions. We found that hotel employees' perceptions of AI concierge robots were significantly related to user resistance and turnover intention, and this association was related to employee self-efficacy, perceived organizational support, quality of AI services and new tasks. In addition, it was found that the quality of AI concierge robots directly or indirectly had the greatest influence on user resistance and turnover intention. The findings of this study provide theoretical implications for academia and practical implications for industry practitioners.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.47-69
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• 2023

The main purpose of this study is to examine the mediating effects of performance satisfaction and audience loyalty through the motivation and community satisfaction of non-profit performance attendees in the local community. Motivations were examined by distinguishing between intrinsic and extrinsic factors to understand the profound desires of the audience. A survey was conducted targeting attendees who had experienced non-profit performances in the Jeju area over the past year to gather data. Ultimately, the survey responses from 363 participants were used as the basis for analysis. The results of the analysis indicated that higher levels of intrinsic and extrinsic motivations generally led to greater satisfaction and loyalty towards performances (H1, H2, H3). However, extrinsic motivation did not directly influence loyalty (H4). Nevertheless, both types of motivations were found to positively influence loyalty through performance satisfaction (H5, H8). While satisfaction with performances did not have a direct impact on community satisfaction (H6), audience loyalty was found to have a positive influence on community satisfaction (H7). Regarding motivations, performance satisfaction did not mediate the relationship between motivations and community satisfaction (H9). In the case of audience loyalty, intrinsic motivation showed mediating effects, while extrinsic motivation did not (H10). The process of motivation-satisfaction-loyalty-community satisfaction demonstrated a sequential pathway (H11). In conclusion, if local residents show interest and participate in non-profit performances, they develop a positive perception of the respective community. Therefore, performances provided at the local level should be recognized as crucial elements for the development of the community.