• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.571-580
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• 2022

This study was a descriptive research to investigate clinical violence experience, response to violence experience, resilience and academic burnout and to identify the factors affecting the academic burnout among nursing students. The participants were 318 nursing students. who were recruited from the 2 Department of Nursing in B Metropolitan and 2 Department of Nursing in Gyeongsangnam-do. The structured questionnaire was self-administered from November 1 to 30, 2019. Data were analyzed through the SPSS/WIN 24.0 program using descriptive statistics, Independent t-test와 one-way ANOVA, Scheffe test, Pearson's correlation coefficient, and stepwise multiple regression. According to the results of this study, Mean score for academic burnout in nursing student was 2.58 out of 4 point. The factors of satisfaction with clinical practice(β=-.393, p<.001), satisfaction with nursing major(β=-.188, p<.001), responses to violence experience(β=.176, p<.001), perceived health status(β=-.156, p<.001) attacker(β=.135, p=.002), resilience(β=-.118, p=.016)were impact on the academic burnout level of nursing students. The total explanatory power accounted for 45.9%. In conclusion, since clinical practice satisfaction and major satisfaction are the factors that have the greatest influence on academic burnout, it is necessary to develop various educational strategies and a student counseling program to reduce negative reactions after experiencing violence and improve resilience. In addition, a qualitative study on the clinical violence experience, response to violence experience and academic burnout of nursing students is needed.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.823-833
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• 2022

This study aims to improve the runoff modeling accuracy of a basin using Hydrological Simulation Program-FORTRAN (HSPF) model by considering nonhomogeneous characteristics of a basin. By entering classified values according to the various types of land cover and soil to the parameters in HSPF-roughness coefficient (NSUR), infiltration (INFILT), and evapotranspiration (LZETP)- the heterogeneity of the Yongdam Dam basin was reflected in the model. The results were analyzed and compared with the one where the parameters were set as a single value throughout the basin. The flow rate and water quality simulation results showed improved results when classified parameters were used by land cover and soil type than when single values were used. The parameterization changed not only the flow rate, but also the composition ratio of each hydrologic components such as surface runoff, baseflow, and evapotranspiration, which shows the impact of the value set to a parameter on the entire hydrological process. This implies the importance of considering the heterogeneous characteristics of the land cover and soil of the basin when setting the parameters in a model.

• Journal of Forest and Environmental Science
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• v.38 no.3
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• pp.184-194
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• 2022

Triplochiton scleroxylon K. Schum is the plant species most affected by logging activities in the East Region of Cameroon due to its market value. This logging has impacted the ecological niche of the fern plant for which limited research has been done. The aim of this study is to contribute towards improving knowledge of fern richness and biomass on T. scleroxylon within the Central African sub-region. Fern data collection was done on 20 felled/harvested T. scleroxylon where, in addition to fern inventory, fern biomass was collected by the destructive method. The diameter and height of T. scleroxylon measured were used as explanatory variables in allometric equations for fern biomass estimation. Fern inventory was characterized using diversity index. Eight fern species were recorded on T. scleroxylon (≈5 species/T. scleroxylon). The minimum diameter where fern could be found is 59.4 cm. The average fern biomass found was 23.62 kg/T. scleroxylon. Pearson correlation coefficient showed a positive correlation (r>0.55) between fern biomass and T. scleroxylon diameter. For allometric equation, the logarithmic model improved better the adjustment than the non-logarithmic model. However, the quality of the adjustment is improved more when only the diameter is considered as an explanatory variable. Fern biomass is estimated to 90.08 kg/ha^-1 with 76.02 kg/ha^-1 being lost due to T. scleroxylon exploitation in the study area. This study is a contribution towards increasing knowledge of fern diversity specific to T. scleroxylon, and also fern biomass contribution to climate change mitigation and the potential carbon loss due to T. scleroxylon exploitation.

• Korean Journal of Construction Engineering and Management
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• v.22 no.3
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• pp.52-60
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• 2021

Due to the significant size of overseas construction projects, the cost overrun has enormous impacts on the financial status of construction companies. The managers' appropriate perception and identification of key risk factors in the construction phase notably affect the performance of projects. However, the actual impacts of risk factors and local manager' s perception of them could be deviated. For this reason, we aim to compare the performance of actual cases and general opinions of responsible practitioners in terms of risk factors relevant to cost overruns in order to present a practical strategy for risk management. Firstly, factors classified from literature review were used to simulate 290 cost overruns data sets from 20 cases by introducing Monte-Carlo Simulation and were ranked by standardized coefficients through multiple regression analysis. Secondly, a survey was conducted against 42 local managers to rank their perception of impact on cost overrun with identical factors by using Stepwise Weight Assessment Ratio Analysis (SWARA). Comparison results show that conflicts such as 'conflict with subcontractors' and 'conflict with the local community' have caused excessive cost overrun. However, managers' perception of these as less significant than the actual influences and consider other risks such as 'material price fluctuation' and 'construction quality errors', as relatively serious. Therefore, education for local managers on conflict risks needs to be presented.

• Journal of the Korean Applied Science and Technology
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• v.39 no.1
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• pp.42-51
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• 2022

This study was conducted to identify the factors affecting the problem solving ability in nursing students. Method: The subjects of this study were 226 nursing students from two universities located in G and C provinces. The collected data were analyzed by t-test, ANOVA, Correlation Coefficient, and Multiple Regression Analysis. Results: As a result of multiple regression analysis, the significant predictors of problem solving ability of nursing students were critical thinking disposition(β=.490, p<.001) and self-directed learning ability(β=.355, p=<.014). Problem solving ability was explained 61.9% of variance in critical thinking disposition and self-directed learning ability. Conclusion: The results of this study showed that self-directed learning ability and critical thinking disposition in nursing students were the influential factor on problem solving ability. Therefore, the results of this study suggest that it is necessary to find ways to improve critical thinking disposition and self-directed learning ability in order to improve problem solving ability of nursing students, and it is considered to be useful as basic data for developing education programs to improve problem solving ability.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.6
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• pp.167-174
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• 2022

The objective of this study is to evaluate the dynamic properties of DUS (damping-up system) composed of the materials with excellent damping capacity, and to compare with those of the conventional hangar bolt. The main parameters are the type and hardness (𝜂_H), of rubber and the prestress force (value converted from the compression strain (𝜂_R) in the stress-strain relationship of rubber). The dynamic properties were examined from the natural frequency (𝜔_n), maximum response acceleration (A_m), amplification coefficient (𝛼_p), maximum relative displacement (𝚫_m), and damping ratio (𝜉_D). The test results showed that the A_m, 𝛼_p, and 𝚫_m values of DUS were 46.3%, 46.6% and 62.9% lower, respectively, and the 𝜉_D value was 3.89 times higher, when compared to those of the conventional hangar bolt. In particular, the 𝛼_p value was 1.3 for DUS, and 2.45 for the conventional hanger bolt, which were similar to those of rigid and flexible components specified in KDS 41 17 00, respectively. Consequently, in the optimal details of DUS, the 𝜂_H values of 50 and 45 were required for the NR (natural rubber) and EPDM (ethylene propylene diene monomer), and the 𝜂_R value of 5% was also recommended.

• Journal of Korean Society of Forest Science
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• v.112 no.3
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• pp.267-279
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• 2023

This research assessed the feasibility of using high-resolution aerial images and deep learning algorithms for estimating the land-use and land-cover areas at the Approach 3 level, as outlined by the Intergovernmental Panel on Climate Change. The results from different sampling densities of high-resolution (51 cm) aerial images were compared with the land-cover map, provided by the Ministry of Environment, and analyzed to estimate the accuracy of the land-use and land-cover areas. Transfer learning was applied to the VGG16 architecture for the deep learning model, and sampling densities of 4 × 4 km, 2 × 4 km, 2 × 2 km, 1 × 2 km, 1 × 1 km, 500 × 500 m, and 250 × 250 m were used for estimating and evaluating the areas. The overall accuracy and kappa coefficient of the deep learning model were 91.1% and 88.8%, respectively. The F-scores, except for the pasture category, were >90% for all categories, indicating superior accuracy of the model. Chi-square tests of the sampling densities showed no significant difference in the area ratios of the land-cover map provided by the Ministry of Environment among all sampling densities except for 4 × 4 km at a significance level of p = 0.1. As the sampling density increased, the standard error and relative efficiency decreased. The relative standard error decreased to ≤15% for all land-cover categories at 1 × 1 km sampling density. These results indicated that a sampling density more detailed than 1 x 1 km is appropriate for estimating land-cover area at the local level.

• Nuclear Engineering and Technology
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• v.55 no.5
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• pp.1802-1813
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• 2023

Conjugate heat transfer between liquid metal and solid is a common phenomenon in a liquid-metal-cooled fast reactor's fuel assembly and heat exchanger, dramatically affecting the reactor's safety and economy. Therefore, comprehensively studying the sophisticated conjugate heat transfer in a liquid-metal-cooled fast reactor is profound. However, it has been evidenced that the traditional Simple Gradient Diffusion Hypothesis (SGDH), assuming a constant turbulent Prandtl number (Pr_t,, usually 0.85 - 1.0), is inappropriate in the Computational Fluid Dynamics (CFD) simulations of liquid metal. In recent decades, numerous studies have been performed on the four-equation model, which is expected to improve the precision of liquid metal's CFD simulations but has not been introduced into the conjugate heat transfer calculation between liquid metal and solid. Consequently, a four-equation model, consisting of the Abe k - ε turbulence model and the Manservisi k_𝜃 - ε_𝜃 heat transfer model, is applied to study the conjugate heat transfer concerning liquid metal in the present work. To verify the numerical validity of the four-equation model used in the conjugate heat transfer simulations, we reproduce Johnson's experiments of the liquid lead-bismuth-cooled turbulent pipe flow using the four-equation model and the traditional SGDH model. The simulation results obtained with different models are compared with the available experimental data, revealing that the relative errors of the local Nusselt number and mean heat transfer coefficient obtained with the four-equation model are considerably reduced compared with the SGDH model. Then, the thermal-hydraulic characteristics of liquid metal turbulent pipe flow obtained with the four-equation model are analyzed. Moreover, the impact of the turbulence model used in the four-equation model on overall simulation performance is investigated. At last, the effectiveness of the four-equation model in the CFD simulations of liquid sodium conjugate heat transfer is assessed. This paper mainly proves that it is feasible to use the four-equation model in the study of liquid metal conjugate heat transfer and provides a reference for the research of conjugate heat transfer in a liquid-metal-cooled fast reactor.

• Korea Trade Review
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• v.48 no.2
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• pp.175-195
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• 2023

This study is for analyzing the relation between Korean Water transport and the other main countries Water transport. In the Free trade system, Maritime transport has a high impact on the global economy as well as the each countries. The division of labor through the global value chain(GVCs) has became the ordinary activity in business, and in Maritime shipping,, there are the International trade among countries. Therefore, This study analyze relation of Korean water transport and other 13 regions using World Input-Output Table(WIOT) by Asia Development Bank(ADB). The result of analysis, the proportion of intermediate goods in the input structure of Korean water transport is about 70%, and the ratio of using domestic products is higher than the major European countries. However, since 2000, intermediate inputs from foreign countries have steadily increased, and added value has decreased. Countries with a high relation with Korean Water transport industry are United States(USA) on the input structure, Singapore(SIN) and Japan(JPN) on the distribution structure. Analyzing the relation through the production inducement coefficient, Singapore(SIN) has the high relationship with Korean Water transport industry.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1159-1172
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• 2023

Through this study, we aim to investigate the impact of job stress, self-leadership, and social support on nursing performance among nurses in long-term care hospitals. Our objective is to identify specific measures to enhance nursing performance by understanding how these factors influence overall nursing work outcomes. Participants were nurses working at long-term care hospitals in B city and G city. Data were collected with structured questionnaires from February 1 to February 25, 2018. Data were analyzed SPSS 22.0 program for descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. Factors which had effect on nursing performance were self-leadership(β=.415, p<.001), age(β=.251, p=.001), social supports(β=.206, p<.001), job stress(β=-.159, p=.001) and position(β=.102, p=.047). We anticipate that the findings of this study, which reflects the job characteristics of nurses in long-term care hospitals, can serve as foundational data for the development of intervention programs related to nursing performance. These results can contribute to the creation of programs aimed at improving nursing outcomes in accordance with the unique work characteristics of nurses in long-term care settings.