• Geomechanics and Engineering
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• v.6 no.2
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• pp.99-115
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• 2014

Uncertainties in design variables and design equations have a significant impact on the safety of geotechnical structures like retaining walls and slopes. This paper presents a possible framework for obtaining the partial safety factors based on reliability approach for different random variables affecting the stability of a reinforced concrete cantilever retaining wall and a slope under static loading conditions. Reliability analysis is carried out by Mean First Order Second Moment Method, Point Estimate Method, Monte Carlo Simulation and Response Surface Methodology. A target reliability index ${\beta}$ = 3 is set and partial safety factors for each random variable are calculated based on different coefficient of variations of the random variables. The study shows that although deterministic analysis reveals a safety factor greater than 1.5 which is considered to be safe in conventional approach, reliability analysis indicates quite high failure probability due to variation of soil properties. The results also reveal that a higher factor of safety is required for internal friction angle ${\varphi}$, while almost negligible values of safety factors are required for soil unit weight ${\gamma}$ in case of cantilever retaining wall and soil unit weight ${\gamma}$ and cohesion c in case of slope. Importance of partial safety factors is shown by analyzing two simple geotechnical structures. However, it can be applied for any complex system to achieve economization.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.189-199
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• 2021

This study aimed to explore the factors affecting the innovation capacity of students at the National Economics University, Vietnam. Researchers used the innovation capacity model based on six factors, including personality traits, future orientation, creative skills, social interaction, content knowledge, and management skills. The empirical analysis used data from the survey of 303 students at National Economics University, Vietnam, with reliable tools (SPSS 26.0 software). The data were analyzed by testing the reliability of the scales, correlation analysis, and Pearson' Linear Correlation Coefficient, exploratory factor analysis, as well as regression model based on the survey data. The research results identified the following factors affecting innovation capacity of students: management skills, social interaction, and personality traits have the strongest impact on innovation capacity of students; content knowledge has the following strongest effects on innovation capacity of students; and finally the creative skills that affects on innovation capacity of students. There is also a positive relationship between all the factors and innovation capacity of students. The result can serve as useful reference sources for scholars who are interested in the innovation field. It also helps university's managers and policymakers build the appropriate environment to improve innovation capacity of students.

• Journal of Korean Clinical Nursing Research
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• v.25 no.2
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• pp.133-141
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• 2019

Purpose: This study aimed to examine the effects of compassion competence and organizational commitment on customer orientation in hospital nurses. Methods: The participant of this study was 223 nurses who have worked at a tertiary hospital in Chungcheong Province for at least one year. The general characteristics, compassion competence, organizational commitment, and customer orientation of the participants were collected, using self-reported questionnaires, from June 15 to June 29, 2018. The data were analyzed by descriptive statistics, independent t-test, ANOVA ($Scheff{\acute{e}}$ test), Pearson's correlation coefficient, and multiple regression using an SPSS/WIN 22.0 program. Results: Customer orientation was significantly associated with organizational commitment (r=.51, p<.001), and compassion competence (r=.74, p<.001). Compassion competence (${\beta}=.62$, p<.001), organizational commitment (${\beta}=.17$, p=.004), and marital status (${\beta}=.11$, p=.034) were identified as the predictors of customer orientation. These variables explained 59.1% of the variance in customer orientation. Conclusion: This study confirmed that compassion competence and organizational commitment may have an impact on customer orientation in hospital Nurses. Therefore, to improve customer orientation in hospital nurses, it is necessary to develop interventions and education programs considering these factors.

• Elastomers and Composites
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• v.54 no.2
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• pp.135-141
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• 2019

Polyphenylene sulfide (PPS) was filled with glass fiber (GF), aramid fiber (AF), and solid lubricants to improve the mechanical properties and wear resistance. The addition of GF effectively enhanced the tensile strength, flexural modulus, and impact strength of PPS, while solid lubricants such as polytetrafluoroethylene (PTFE), molybdenum disulfide ($MoS_2$), and tungsten disulfide ($WS_2$) lowered the friction coefficients of the composites to below 0.3. The ball nut and motor pulley of the electric power steering (EPS) were manufactured using the PPS composites, and feasibility was ascertained thereafter by conducting the durability test. The composites filled with GF and AF showed high mechanical strength, but slip occurred at the interface between the pulley and belt while testing above $50^{\circ}C$. When small amounts of lubricants were added, the slip was no longer detected because of the suppression of friction heat. It is realized that the low friction as well as high mechanical properties is important to ensure the reliability of plastic pulleys.

• Korean Journal of Occupational Health Nursing
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• v.27 no.4
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• pp.215-223
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• 2018

Purpose: This study aimed to identify the effect of job stress, coping behavior, and hardiness on burnout in nurses in the emergency department (ED). Methods: Data were acquired via self-reporting questionnaires from 148 nurses in EDs at one general hospital, four university hospitals, and six hospitals with >200 beds. Data were analyzed using the SPSS 23.0 program through descriptive statistics, t-test, analysis of variance, Pearson's correlation coefficient, and stepwise multiple regression. Results: A statistically significant difference in burnout was observed with respect to the age of the nurses. Burnout was positively correlated with job stress and wishful thinking and detachment, among coping behaviors, and was negatively correlated with hardiness. Job stress and wishful thinking, among coping behaviors, were significant predictors of burnout and were observed in 14.9% of the nurses who experienced burnout. Conclusion: According to our results, job stress was identified as the most significant factor which influenced burnout in ED nurse's. Therefore, it is necessary to develop and implement educational programs for reducing job stress and minimizing the use of wishful thinking as a coping behavior in order to alleviate the burnout in ED nurses.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.2
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• pp.257-266
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• 2019

Ground water generated under tunnel excavation has a major impact on tunnel construction and stability. Thus, effective waterproof grouting is needed to reduce the inflow of groundwater. Most tunnel designs are applying the Pre Grouting. However there are no propriety analysis for grouting material and waterproof effect. In this study, numerical analysis was performed in order to investigate the effect of waterproof with decrease of coefficient of permeability of the grouting area based on the case of grouting construction.

• Journal of Environmental Science International
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• v.28 no.2
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• pp.259-266
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• 2019

Two main sources of data, meteorological data and land surface characteristics, are essential to effectively run a distributed rainfall-runoff model. The specification and averaging of the land surface characteristics in a suitable way is crucial to obtaining accurate runoff output. Recent advances in remote sensing techniques are often being used to derive better representations of these land surface characteristics. Due to the mismatch in scale between digital land cover maps and numerical grid sizes, issues related to upscaling or downscaling occur regularly. A specific method is typically selected to average and represent the land surface characteristics. This paper examines the amount of flooding by applying the FLO-2D routing model, where vegetation heterogeneity is manipulated using the Manning's roughness coefficient. Three different upscaling methods, arithmetic, dominant, and aggregation, were tested. To investigate further, the rainfall-runoff model with FLO-2D was facilitated in Yongdam catchment and heavy rainfall events during wet season were selected. The results show aggregation method provides better results, in terms of the amount of peak flow and the relative time taken to achieve it. These rwsults suggest that the aggregation method, which is a reasonably realistic description of area-averaged vegetation nature and characteristics, is more likely to occur in reality.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.314-328
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• 2019

This paper attempts to combine the pneumatic breakwater and submerged breakwater to increase the effectiveness of wave damping for long-period waves. A series of physical experiments concerning pneumatic breakwater, submerged breakwater and their joint breakwater was conducted and used to validate a mathematical model based on Reynolds-averaged Navier-Stokes equations, the RNG $k-{\varepsilon}$ turbulence model and the VOF method. In addition, the mathematical model was used to investigate the wave transmission coefficients of three breakwaters. The nonlinear wave propagation behaviors and the energy transfer from lower frequencies to higher frequencies after the submerged breakwater were investigated in detail. Furthermore, an optimal arrangement between pneumatic breakwater and submerged breakwater was obtained for damping longer-period waves that cannot be damped effectively by the pneumatic breakwater alone. In addition, the reason for the appearance of the combination effect is that part of the energy of the transmitted waves over the submerged breakwater transfers to shorter-period waves. Finally, the impact of the joint breakwater on the wave field during wave propagation process was investigated.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2759-2769
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• 2018

The behavioral finance view on the existence of asset pricing anomalies is based on two factors: investors' sentiment and limits to arbitrage. This paper tries to examine the effect of investors' sentiment on the stock price in the Korean stock market. In order to measure investors' sentiment, we constructed the sentiment index using principal component of five sentiment variables. By using sentiment index as an additional independent variable to three risk factors, impacts of the sentiment index on individual stocks and 25 portfolios sorted by BM-size are examined. Main results found are as follows: 1) not only all three risk factors show positive impacts on the return of individual stock, but also the sentiment index has a positive impact. SI alone explains 15% of individual return variation. 2) among four independent variables, the most important factor turned out to be the market risk factor and investors' sentiment has better explanatory power on stock price than the size effect. 3) after controlling the market risk factor, the coefficient of the sentiment index for the smallest size and highest book/market value portfolios is significantly positive. 4) all the coefficients of the sentiment index for 25 portfolios sorted by BM-size have significant positive value after controlling size or (and) value.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.897-911
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• 2021

This study aims to analyze the important role of business analytics capability, information quality, and innovation capability in influencing organization agility and organization performance during the Covid-19 pandemic. Data was collected from 76 companies from various sectors in Indonesia. Structural Equation Model-Partial Least Square (SEM-PLS) analysis was conducted to analyze the relationship between variables and test a series of hypotheses. Importance-Performance Matrix Analysis (IPMA), a useful analysis approach in PLS-SEM, is used, which extends the results of the estimated path coefficient (importance) by adding a dimension that considers the average values of the latent variable scores (performance). The IPMA approach examines not only the performance of an item but also the importance of that item. The results show that business analytics capability has a significant effect on information quality and innovation capability which then affects organization agility. Organizational performance is influenced by organizational agility. IPMA results show that organizational agility has the highest level of impact on organizational performance. This study will assist companies in planning business analytics, improving information quality, increasing innovation capability, and ultimately increasing agility and performance during the Covid-19 pandemic. This study will add to existing knowledge about previous literature, especially in the Covid-19 pandemic situation.