• Journal of Korean Clinical Health Science
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• v.9 no.2
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• pp.1486-1492
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• 2021

Purpose: By investigating oral health knowledge and oral health behavior of orthodontic patients, we intend to identify factors that affect their satisfaction with orthodontic treatment and use them as fundamental data for improving the satisfaction of orthodontic patients. Methods: Busan from February 1st to March 31st, 2021. Dental disease in Gyeongsangnam-do. A self-contained survey was conducted on patients undergoing orthodontic treatment in the clinic. A total of 185 copies were analyzed. Using the lBM SPSS Statistics 21 program, multiple regression analysis was conducted by setting oral health knowledge and oral health behavior as independent variables to determine factors affecting remedial treatment satisfaction. Results: The satisfaction level of orthodontic treatment was 1.53 points higher than 'understanding the cost of orthodontic treatment' and 'smooth relationship with related staff while receiving orthodontic treatment' was low at 1.23. The average calibration satisfaction was 1.34. Factors affecting remedial treatment satisfaction were shown in the order of oral health behavior (p<0.000), educational experience (p<0.010), gender (p<0.015) and oral health knowledge (p<0.020). Conclusions: Through the above results, it is necessary to develop programs to improve oral health knowledge through customized individual oral health education by enhancing individual oral health behaviors of individuals.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.391-397
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• 2021

One of the sustainable development goals is to promote good health and well-being for all people. Child health is a top priority since their health issues can have a detrimental impact on human capital development, which is a critical input for the growth model. This paper applies the health production model to explore the determinants that influence the health of children under the age of five. The results of a survey of 203 households in Ho Chi Minh City, Vietnam, were examined. Child health is measured using anthropometric indicators such as weight-for-age, height-for-age, and weight-for-height (ZWFH). Three separate multinomial logistic models are regressed to examine the drivers of child health as proxied by z-score weight for age, z-score height for age, and z-score weight for height. The significance of input variables relating to a child's attributes, household, and environment was validated by the findings. The inclusion of overweight besides under-nourished indexes is novel because it reflects the current trend of child over-nutrition. The findings of the study highlight the importance of a wide range of initiatives to enhance child health. Moreover, the genetic effect is found to be crowded out by environmental and household factors. The finding verifies that despite their parents' moderate height, the future generation of Vietnamese can achieve the desired height.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.473-483
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• 2021

This study's fundamental purpose is to examine the personality factors of business school faculty members in job satisfaction and job performance. Results show the significant impact of multicultural faculty members' job performance in a diverse environment in the Business schools of Karachi. The data is collected through the multi questionnaires from the various teaching, non-teaching staff, and students of private business schools of Karachi in Pakistan. The data has been tested through the Jamovi-by-medmod, and the regression model is to scrutinize and find the effect dependent variables to mediation. Simultaneously, results are calculated by mediation estimates and path estimates through the medmod technic and regression test from data. It provides a comprehensive insight into various factors such as personality traits, self-efficiency, Psychological diversity climate, self-esteem, and human resource management practices. These are the primary evaluated factors that affect multicultural faculty members' job satisfaction and job performance. However, results show a positive relationship between diversity climate and job performance, which mediates by job satisfaction. Similarly, personality traits show a positive relationship with job performance that mediates by job satisfaction. Correspondingly, self-esteem spectacles are a positive inter-relationship with job performance which is mediated by job satisfaction.

• Journal of muscle and joint health
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• v.26 no.2
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• pp.131-140
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• 2019

Purpose: The purpose of this study was to explore factors influencing for intention to perform cardiopulmonary resuscitation (CPR) in undergraduate nursing students. Methods: A total of 146 students at G University participated in this descriptive study. With a self-administered questionnaire, the data were collected from November 26 to November 30, 2018. Results: In this study, intention to perform CPR had significant positive correlations with attitude of CPR (r=60, p<.001), self-efficiency of CPR (r=.53, p<.001), and confidence in automated external defibrillator (AED) utilization (r=.47, p<.001). Stepwise multiple regression analysis showed that factors influencing for intention to perform CPR were attitude of CPR (${\beta}=.60$, p<.001) and confidence in AED utilization (${\beta}=.26$, p<.001). Overall, approximately 41% of the variability in intention to perform CPR was explained by these variables ($R^2=.41$, F=50.04, p<.001). Conclusion: In order to promote the intention to carry out CPR among nursing college students, it will be necessary to develop strategies to strengthen a positive attitude toward CPR in fundamental nursing and clinical nursing practices in addition to improve confidence in AED utilization.

• Steel and Composite Structures
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• v.32 no.4
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• pp.455-466
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• 2019

Despite the rapid advancement in computing resources, many real-life design and optimization problems in structural engineering involve huge computation costs. To counter such challenges, approximate models are often used as surrogates for the highly accurate but time intensive finite element models. In this paper, surrogates for first-order shear deformation based finite element models are built using a polynomial regression approach. Using statistical techniques like Box-Cox transformation and ANOVA, the effectiveness of the surrogates is enhanced. The accuracy of the surrogate models is evaluated using statistical metrics like $R^2$, $R^2{_{adj}}$, $R^2{_{pred}}$ and $Q^2{_{F3}}$. By combining these surrogates with nature-inspired multi-criteria decision-making algorithms, namely multi-objective genetic algorithm (MOGA) and multi-objective particle swarm optimization (MOPSO), the optimal combination of various design variables to simultaneously maximize fundamental frequency and frequency separation is predicted. It is seen that the proposed approach is simple, effective and good at inexpensively producing a host of optimal solutions.

• Earthquakes and Structures
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• v.16 no.5
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• pp.547-561
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• 2019

In this work, a new analytical approach using a theory of a high order hyperbolic shear deformation theory (HSDT) has been developed to study the free vibration of plates of functionally graduated material (FGM). This theory takes into account the effect of stretching the thickness. In contrast to other conventional shear deformation theories, the present work includes a new displacement field that introduces indeterminate integral variables. During the manufacturing process of these plates defects can appear as porosity. The latter can question and modify the global behavior of such plates. The materials constituting the plate are assumed to be gradually variable in the direction of height according to a simple power law distribution in terms of the volume fractions of the constituents. The motion equations are derived by the Hamilton principle. Analytical solutions for free vibration analysis are obtained for simply supported plates. The effects of stretching, the porosity parameter, the power law index and the length / thickness ratio on the fundamental frequencies of the FGM plates are studied in detail.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.11
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• pp.29-34
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• 2020

In this study, a sensitivity formulation was applied to analyze the dynamic response due to the effect of the excitation force for the undamped vibration of the cantilever beam. The theoretically fundamental formulations were derived considering an eigenvalue problem and its modal analysis to govern the second order algebraic differential equation in terms of the change in the modal coordinate with respect to the design parameters. A representative physical quantity pertaining to the dynamic response, that is, the rate of change in the dynamic displacement, was observed by changing the design variables, such as the cross-sectional area of the beam. The numerical results were obtained at various locations, considering the application of the external forces and observation of the dynamic displacement. When the detection position was closer to the free end of the cantilever beam, the sensitivity of the dynamic displacement was higher, as predicted through the oscillating motion of the beam. The presented findings can provide guidance to compute the dynamic sensitivity for a flexibly connected structure under dynamic excitations.

• Korean Journal of Metals and Materials
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• v.46 no.1
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• pp.13-19
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• 2008

To develop a recycling process of magnesium alloy scrap, a fundamental study on the distillation of magnesium alloy melt was carried out. Melt temperature, vacuum degree and reaction time were considered as experimental variables. The amount of vaporized magnesium melt per unit surface area of melt increases with the increase of melt temperature, reaction time and vacuum degree. The vapor condensed at the tip of water cooling Cu-condenser as a form of pine cone. Magnesium and zinc were vaporized easily from the melt. However, It's difficult to separate magnesium and zinc by vacuum distillation because vapor pressure of zinc is similar to one of magnesium. The contents of aluminum, manganese and iron, etc. in residual melt increase due to the decrease of magnesium and zinc content after the distillation of magnesium alloy.

• Journal of Biomedical Engineering Research
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• v.42 no.5
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• pp.232-240
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• 2021

Heterogeneity in cancer is the major obstacle for precision medicine and has become a critical issue in the field of a cancer diagnosis. Many attempts were made to disentangle the complexity by molecular classification. However, multi-dimensional information from dynamic responses of cancer poses fundamental limitations on biomolecular marker-based conventional approaches. Cell morphology, which reflects the physiological state of the cell, can be used to track the temporal behavior of cancer cells conveniently. Here, we first present a hybrid learning-based platform that extracts cell morphology in a time-dependent manner using a deep convolutional neural network to incorporate multivariate data. Feature selection from more than 200 morphological features is conducted, which filters out less significant variables to enhance interpretation. Our platform then performs unsupervised clustering to unveil dynamic behavior patterns hidden from a high-dimensional dataset. As a result, we visualize morphology state-space by two-dimensional embedding as well as representative morphology clusters and trajectories. This cell morphology profiling strategy by hybrid learning enables simplification of the heterogeneous population of cancer.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.3
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• pp.92-108
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• 2022

This study aims to intensively analyze the effect of ESG activities on the Business performance focused on Korean national flag carrier. The purpose of this study is to provide ESG activities to promote the sustainable development of Korean national flag carriers by verifying the impact of ESG on airline's business performance through mediate variables within the airline industry in consideration of the value and importance of ESG. A survey is conducted with a total of 272 users of Korea's national flag carrier both Korean air and Asiana airline. The collected data is analyzed using a structural equation model. The results show that ESG management has an indirect positive effect on business performance. It is expected that the results of this study may be employed as fundamental data to emphasize the relative importance of an ESG activities, thereby enhancing the Korean national flag carrier's business management and eliciting a positive impact on sustainable growth.