• Journal of Korean Biological Nursing Science
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• v.23 no.4
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• pp.276-286
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• 2021

Purpose: The purpose of this study was to investigate the factors influencing osteoporosis awareness depending on the family structure in postmenopausal women aged over 50 years with osteoporosis. Methods: The study was a cross-sectional study that used secondary data. Postmenopausal women with osteoporosis aged over 50 years (n= 567) from the National Health Nutrition Survey of the 5th (2010, 2011) were selected for analysis. Data were analyzed by complex sampling design multiple regression analysis. Results: Among the patients with osteoporosis, the osteoporosis awareness was very low at 29.0%, and 32.5% for single households and 28.1% for household with spouses. There were significant differences in the factors influencing osteoporosis awareness depending on the family structure. For single household, factors that influenced osteoporosis awareness included sleeping for more than 9 hours (OR, 4.32), anxiety and depression (OR, 3.21), a history of fracture (OR, 0.29), and a family history of osteoporosis (OR, 0.29). In the household with a spouse, osteoporosis awareness was highest in women in their 60 seconds (OR, 3.45), unhealthy group (OR, 2.27), and underweight group (OR, 5.31). Other factors that influenced osteoporosis awareness included pain/discomfort (OR, 2.31), smoking (OR, 7.71), and a history of fracture (OR, 0.36). Conclusion: It is necessary to improve osteoporosis awareness for effective osteoporosis management through osteoporosis screening and counseling, and continuous osteoporosis education programs.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.597-603
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• 2022

With the continuation of the pandemic environment, digital transformation is being applied in various fields of the fashion industry. Augmented reality technology is a form of overlapping virtual images on the real world, and as online shopping expands in non-face-to-face environments, the use of augmented reality technology in fashion and beauty fields is affecting consumer satisfaction and sales growth. In this study, the characteristics of augmented reality contents used in the fashion industry following digital transformation were extended to the fields of clothing, accessories, virtual fashion stores, and AR fashion shows to analyze the case characteristics of augmented reality. Augmented reality technology in the fashion industry focuses on promoting clothing and accessory products through SNS or homepage through marketing activities. It is raising positive values such as raising awareness. The range of types of augmented reality used in the future digital fashion environment will continue to expand, and by deriving the usage characteristics of augmented reality technology, it is intended to contribute to presenting a future vision of the fashion industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.114-121
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• 2022

In this paper, we consider a user centric clustering in order to guarantee the performance of the users in cell free multiple-input multiple-output (MIMO) network. In the user centric clustering scheme, by using large scale fading coefficients of the connected access points (APs), each user decides own cluster with the APs having the higher the large scale fading coefficients than threshold value compared to the highest large scale fading coefficient. In the determined user centric clusters, the APs design the beamformers and power allocations in the distributed manner and the APs cooperatively transmit data to users by using beamformers and power allocations. In the simulation results, we verify the performance of user centric clustering in terms of the spectral efficiency and we also find the optimal threshold value in the given configuration.

• Journal of Forest and Environmental Science
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• v.38 no.1
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• pp.64-73
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• 2022

Increasing carbon and PM_2.5 concentrations have been emerging as serious environmental issues worldwide. The purpose of this study was to quantify carbon and PM_2.5 reduction by urban parks in Gangneung, Korea. A total of 35 parks were sampled by applying a random sampling method to survey tree planting structures and the areal distribution of land cover types of urban parks. These survey data and the Green Evaluation Technique (GET) computer program were used to estimate carbon and PM_2.5 reduction by trees. Mean tree density and cover in the study parks were 3.5±0.2 tree/100 m² and 44.5±3.0%, respectively. Annual carbon uptake and PM_2.5 deposition per unit area by trees averaged 2.8±0.2 t/ha/yr and 30.2±2.8 kg/ha/yr. Gangneung's urban parks annually offset the carbon emissions by 3.4% and the PM_2.5 emissions by 3.5%. Thus, urban parks played a significant role in reducing atmospheric carbon and PM_2.5 concentrations. Total annual carbon uptake and PM_2.5 deposition of urban parks in Gangneung were about 1,338.2 t/yr and 14,433.2 kg/yr. This study is expected to contribute to raising awareness of the role and importance of urban parks regarding carbon and PM_2.5 reduction.

• Women's Health Nursing
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• v.27 no.4
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• pp.388-404
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• 2021

Purpose: The purpose of this study was to examine the effects of team-based learning (TBL) on nursing students' communication ability, problem-solving ability, self-directed learning, and nursing knowledge related to high-risk pregnancy nursing. Methods: This quasi-experimental study used a nonequivalent control group pretest-posttest design. The participants were 91 nursing students allocated to an experimental group (n=45) and a control group (n=46). The experimental group received TBL lectures three times over the course of 3 weeks (100 minutes weekly) and the control group received instructor-centered lectures three times over the course of 3 weeks (100 minutes weekly). Data were collected by questionnaires from September to November, 2019. Data were analyzed using the chi-square test, paired t-test, and independent t-test. Results: After the intervention, the mean scores of problem-solving ability (t=-2.59, p=.011), self-directed learning (t=4.30, p<.001), and nursing knowledge (t=3.18, p=.002) were significantly higher in the experimental group than in the control group. No significant difference in communication ability was found between the experimental and control group (t=1.38, p=.171) Conclusion: The TBL program was effective for improving nursing students' problem-solving ability, self-directed learning, and nursing knowledge. Thus, TBL can be considered an effective teaching and learning method that can improve the learning outcomes of high-risk pregnancy nursing in women's health nursing classes. The findings suggest that TBL will be helpful for future nursing students to develop the nursing expertise necessary for providing nursing care to high-risk pregnant women.

• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.799-809
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• 2021

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.25 no.1
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• pp.30-40
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• 2022

Purpose: Pediatric acute appendicitis has a stable incidence rate in Western countries with an annual change of -0.36%. However, a sharp increase was observed in the Asian region. The Indonesian Health Department reveals appendicitis as the fourth most infectious disease, with more than 64,000 patients annually. Hence, there is an urgent need to identify and evaluate the risk factors and diagnostic modalities for accurate diagnosis and early treatment. This study also clarifies the usage of pediatric appendicitis score (PAS) for children <5 years of age. Methods: The current study employed a cross-sectional design with purposive sampling through demographic and PAS questionnaires with ultrasound sonography (USG) results. The analysis was performed using the chi-square and Mann-Whitney tests and logistic regression. Results: This study included 21 qualified patients with an average age of 6.76±4.679 years, weighing 21.72±10.437 kg, and who had been hospitalized for 4.24±1.513 days in Siloam Teaching Hospital. Compared to the surgical gold standard, PAS and USG have moderate sensitivity and specificity. Bodyweight and stay duration were significant for appendicitis (p<0.05); however, all were confounders in the multivariate regression analysis. Incidentally, a risk prediction model was generated with an area under the curve of 72.73%, sensitivity of 100.0%, specificity of 54.5%, and a cut-off value of 151. Conclusion: PAS outperforms USG in the sensitivity of diagnosing appendicitis, whereas USG outperforms PAS in terms of specificity. This study demonstrates the use of PAS in children under 5 years old. Meanwhile, no risk factors were significant in multivariate pediatric acute appendicitis risk factors.

• Women's Health Nursing
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• v.27 no.4
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• pp.278-285
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• 2021

Purpose: This study aimed to examine the effect of a newborn care education program using ubiquitous learning (UL-NCEP) on exclusive breastfeeding and maternal role confidence of first-time mothers in Vietnam. Methods: This quasi-experimental study with a nonequivalent control group design was conducted at a university hospital in Hue city, Vietnam, between June and July 2018. Eligible first-time mothers were conveniently allocated to the experimental (n=27) and the control group (n=25). Mothers in the control group received only routine care, whereas mothers in the experimental group received UL-NCEP through tablet personal computers in addition to routine care in the hospital. Then, the educational content was provided to mothers by their smartphone for reviewing at home. UL-NCEP was developed based on the World Health Organization's "Essential Newborn Care Course" guidelines. The exclusive breastfeeding rate and maternal role confidence level after birth and at 4 weeks postpartum were assessed in both groups to assess the effect of UL-NCEP. Results: At 4 weeks postpartum, the experimental group showed a significantly higher level than the control, for exclusive breastfeeding rate (p<.05) as well as mean maternal role confidence (p<.05). Conclusion: UL-NCEP was a feasible and effective intervention in increasing first-time Vietnamese mothers' exclusive breastfeeding rate and maternal role confidence level. This program may be integrated into routine care for postpartum mothers to promote mother and infant health among first-time mothers in Vietnam.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.85-93
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• 2022

This paper contains the design and implementation results of a package tour management application using a Geofence technology as well as the performance evaluation. This application ables the tour guide to monitor the tourist movement in real-time whether the tourists are inside the virtual polygonal Geofence set by the tour guide. Even when the tour is moving between travel destinations, a virtual circular Geofence can be set by the tour guide to monitoring the tourist movement while on the move. The application includes tour guide's and tourist's locations, schedule and participant management. To evaluate the performance, average response time and accuracy is measured, resulting in satisfactory performance. The average response time ranged from 0.0047 seconds to 7.3 seconds in various cases and for accuracy, it scored 100% in various cases. It is expected that implementing Geofence technology to package tour management applications will help tour guides to perform more productive package tours by reducing the burden of managing tourists.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.5
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• pp.18-26
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• 2021

In this work, we have developed a 1D network model aimed at predicting eigenvalues for resonance frequency analysis in a lab-scale industrial gas turbine single nozzle combustion system. Modern industrial gas turbines generally adopt combustors with very complex geometry and flow path to meet various design requirements simultaneously. The current study has developed a network model for combustion systems with backflow at the same axial location. The modeling results of resonance frequencies and mode distributions for a given system using the network model were validated from comparisons with prediction results using a 3D Helmholtz solver.