• Journal of Digital Convergence
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• v.18 no.12
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• pp.1-10
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• 2020

This study examined career maturity of primary and middle school students who were interested in teaching job and compared to those who were interested in being a doctor. Using the data from the Korean Education Longitudinal Study 2013, we examined changes in the number of students (primary 5 through middle 2) who were interested in teaching as a job as well as in being a doctor. In addition, the participants' career maturity such as self-understanding, career planing, and attitudes towards job were examined and independent sample t-tests were conducted to compare two groups of students. Overall, the students who were interested in teaching showed lower level of career maturity compared to those who expected to be a doctor. Additionally, as students advanced to higher grades, the points of career maturity had been decreased regardless of which job they were interested in. Based on the findings, suggestions will be made to broaden the pool for future teachers.

• Journal of Korea Multimedia Society
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• v.24 no.8
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• pp.979-987
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• 2021

Multiple Sclerosis (MS) can be early diagnosed by detecting lesions in brain magnetic resonance images (MRI). Unsupervised anomaly detection methods based on autoencoder have been recently proposed for automated detection of MS lesions. However, these autoencoder-based methods were developed only for 2D images (e.g. 2D cross-sectional slices) of MRI, so do not utilize the full 3D information of MRI. In this paper, therefore, we propose a novel 3D autoencoder-based framework for detection of the lesion volume of MS in MRI. We first define a 3D convolutional neural network (CNN) for full MRI volumes, and build each encoder and decoder layer of the 3D autoencoder based on 3D CNN. We also add a skip connection between the encoder and decoder layer for effective data reconstruction. In the experimental results, we compare the 3D autoencoder-based method with the 2D autoencoder models using the training datasets of 80 healthy subjects from the Human Connectome Project (HCP) and the testing datasets of 25 MS patients from the Longitudinal multiple sclerosis lesion segmentation challenge, and show that the proposed method achieves superior performance in prediction of MS lesion by up to 15%.

• Journal of Preventive Medicine and Public Health
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• v.54 no.6
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• pp.441-450
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• 2021

Objectives: Socioeconomic disadvantages interact with numerous factors which affect geriatric mental health. One of the main factors is the social relations of the elderly. The elderly have different experiences and meanings in their social lives depending on their socio-cultural environment. In this study, we compared the effects of social relations on depression among the elderly according to their living arrangement (living alone or living with others) and residential area. Methods: We defined social relations as "meetings with neighbors" (MN). We then analyzed the impact of MN on depression using data from the Korean Longitudinal Study of Aging Panel with the generalized estimating equation model. We also examined the moderating effect of living alone and performed subgroup analysis by dividing the sample according to which area they lived in. Results: MN was associated with a reduced risk of depressive symptoms among elderlies. The size of the effect was larger in rural areas than in large cities. However, elderly those who lived alone in rural areas had a smaller protective impact of MN on depression, comparing to those who lived with others. The moderating effect of living alone was significant only in rural areas. Conclusions: The social relations among elderlies had a positive effect on their mental health: The more frequent MN were held, the less risk of depressive symptoms occurred. However, the effect may vary depending on their living arrangement and environment. Thus, policies or programs targeting to enhance geriatric mental health should consider different socio-cultural backgrounds among elderlies.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.321-329
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• 2022

The effect of low-dye taping technique applied to flexible flat-footed adolescents on mSEBT and Standing long jump in place was investigated. The subjects of this study were 35 youths with flexible flat feet, 17 people with elastic tape and 17 people with non-elastic tape, and the low-dye taping technique was applied. The data analysis of this study used t-test to compare before and after the application of group intervention, and between each group. As a result of the study, significant results were found before and after the application of the intervention in mSEBT and Standing long jump in place (p<.05), and there was no significant difference in comparison between groups (p>.05). In conclusion, the low-dye taping technique applied to adolescents with flexible flat feet is effective for mSEBT and Standing long jump in place, and low-dye taping is appropriate as an intervention method to see the immediate effect of raising the inner longitudinal bow.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.1
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• pp.183-201
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• 2022

Estimating the implicit value of housing assets is a very important task for participants in the housing market. Until now, such estimations were usually carried out using multiple regression analysis based on the inherent characteristics of the estate. However, in this paper, we examine the estimation capabilities of the Artificial Neural Network(ANN) and its 'Deep Learning' faculty. To make use of the strength of the neural network model, which allows the recognition of patterns in data by modeling non-linear and complex relationships between variables, this study utilizes geographic coordinates (i.e. longitudinal/latitudinal points) as the locational factor of housing prices. Specifically, we built a dataset including structural and spatiotemporal factors based on the hedonic price model and compared the estimation performance of the models with and without geographic coordinate variables. The results show that high estimation performance can be achieved in ANN by explaining the spatial effect on housing prices through the geographic location.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.291-299
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• 2022

This study was to verify the effect of the supervisor's abusive supervision on turnover intention and the mediating role of emotional stress and work engagement in the process. The online survey was conducted on 317 employees and the data were analyzed through SPSS Macro and bootstrapping. The results are as follows: the correlation between abusive supervision, emotional stress, work engagement and turnover intention was confirmed to be statistically significant, and dual mediating effect of emotional stress and work engagement was statistically significant. This study showed meaningful results on the path of the abusive supervision and turnover intention. Further studies with longitudinal method and in-depth studies on factors influencing pathways will be needed to verify substantially the dual mediating effect.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.125-135
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• 2022

In this study, using KLoSA data, it was verified whether subjective expectations and depression had a multi-mediated effect on life satisfaction of the elderly with dementia and mild cognitive impairment. As a result of the analysis, first, it was analyzed that the higher the IADL of the elderly with dementia and mild cognitive impairment, the lower the subjective expectation, the higher the depression, and the lower the life satisfaction. Second, it was analyzed that as the subjective expectations of the elderly with dementia and mild cognitive impairment increased, depression decreased and life satisfaction increased. Third, it was analyzed that IADL in the elderly with dementia and mild cognitive impairment not only directly affects life satisfaction, but also indirectly affects life satisfaction through subjective expectations and depression, so it has a multi-mediated effect. Therefore, it is necessary to expand subjective expectations by expanding service providers that can support daily life restrictions for the elderly with dementia and mild cognitive impairment, providing regular programs by experts to reduce depression, and establishing new national pension benefits for dependents.

• Wind and Structures
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• v.34 no.1
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• pp.43-58
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• 2022

The BARC flow is studied via Direct Numerical Simulation at a relatively low turbulent Reynolds number, with focus on the geometrical representation of the leading-edge (LE) corners. The study contributes to further our understanding of the discrepancies between existing numerical and experimental BARC data. In a first part, rounded LE corners with small curvature radii are considered. Results show that a small amount of rounding does not lead to abrupt changes of the mean fields, but that the effects increase with the curvature radius. The shear layer separates from the rounded LE at a lower angle, which reduces the size of the main recirculating region over the cylinder side. In contrast, the longitudinal size of the recirculating region behind the trailing edge (TE) increases, as the TE shear layer is accelerated. The effect of the curvature radii on the turbulent kinetic energy and on its production, dissipation and transport are addressed. The present results should be contrasted with the recent work of Rocchio et al. (2020), who found via implicit Large-Eddy Simulations at larger Reynolds numbers that even a small curvature radius leads to significant changes of the mean flow. In a second part, the LE corners are fully sharp and the exact analytical solution of the Stokes problem in the neighbourhood of the corners is used to locally restore the solution accuracy degraded by the singularity. Changes in the mean flow reveal that the analytical correction leads to streamlines that better follow the corners. The flow separates from the LE with a lower angle, resulting in a slightly smaller recirculating region. The corner-correction approach is valuable in general, and is expected to help developing high-quality numerical simulations at the high Reynolds numbers typical of the experiments with reasonable meshing requirements.

• Structural Engineering and Mechanics
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• v.81 no.3
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• pp.349-365
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• 2022

Steel fibre-reinforced concrete (SFRC) is an emerging class of composite for construction. However, a reliable method to assess the flexural behaviour of SFRC structural member is in lack. An analytical technique is proposed for determining the moment-curvature response of concrete beams reinforced with steel fibres and longitudinal bars (R/SFRC members). The behaviour of the tensile zone of such members is highly complex due to the interaction between the residual (tension softening) stresses of SFRC and the tension stiffening stresses. The current study suggests a transparent and mechanically sound method to combine these two stress concepts. Tension stiffening is modelled by the reinforcement-related approach assuming that the corresponding stresses act in the area of tensile reinforcement. The effect is quantified based on the analogy between the R/SFRC member and the equivalent RC member having identical geometry and materials except fibres. It is assumed that the resultant tension stiffening force for the R/SFRC member can be calculated as for the equivalent RC member providing that the reinforcement strain in the cracked section of these members is the same. The resultant tension stiffening force can be defined from the moment-curvature relation of the equivalent RC member using an inverse technique. The residual stress is calculated using an existing model that eliminates the need for dedicated mechanical testing. The proposed analytical technique was validated against test data of R/SFRC beams and slabs.

• Nuclear Engineering and Technology
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• v.53 no.6
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• pp.2000-2010
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• 2021

Mechanical moduli, such as Young's modulus (E), Bulks modulus (B), Shear modulus (S), longitudinal modulus (L), Poisson's ratio (σ) and micro Hardness (H) were theoretically calculated for (100-x)TeO₂+x MgO glasses, where x = 10, 20, 30, 40 and 45 mol%, based on the Makishima-Mackenzie model. The estimated results showed that the mechanical moduli and the microhardness of the glasses were improved with the increase of the MgO contents in the TM glasses, while Poisson's ratio decreased with the increase in MgO content. Moreover, the radiation shielding capacity was evaluated for the studied TM glasses. Thus, the linear attenuation coefficient (LAC), mass attenuation coefficient (MAC), transmission factor (TF) and half-value thickness (𝚫_0.5) were simulated for gamma photon energies between 0.344 and 1.406 MeV. The simulated results showed that glass TM10 with 10 mol % MgO possess the highest LAC and varied in the range between 0.259 and 0.711 cm^-1, while TM45 glass with 45 mol % MgO possess the lowest LAC and vary in the range between 0.223 and 0.587 cm^-1 at gamma photon energies between 0.344 and 1.406 MeV. Furthermore, the BXCOM program was applied to calculate the effective atomic number (Z_eff), equivalent atomic number (Z_eq) and buildup factors (EBF and EABF) of the glasses. The effective removal cross-section for the fast neutrons (ERCSFN, ∑_R) was also calculated theoretically. The received data depicts that the lowest ∑_R was achieved for TM10 glasses, where ∑_R = 0.0193 cm² g^-1, while TM45 possesses the highest ERCSFN where ∑_R = 0.0215 cm² g^-1.