• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.581-590
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• 2022

The purpose of this study was to ascertain the differences in social distancing practices by socioeconomic characteristics according to the national campaign on strong social distancing from March 22 through April 19. The data were obtained from the online survey performed by Embrain from May 13 through May 19. The sample consisted of 1,117 adults aged between 19 and 69. The campaign included six rules: to postpone or cancel unnecessary meeting, to refrain from going out, to keep personal hygiene, to stay home when sick, to ventilate frequently. Social distancing scores were defined as the proportion of items observed on a scale of 10. The multivariate regression analysis showed that type of housing and type of working were significantly related to social distancing scores. Study results imply that customized campaigns are needed for those from lower socioeconomic status.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.27-40
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• 2022

Medical AI, which has lately made significant advances, is playing a vital role, such as assisting clinicians with diagnosis and decision-making. The field of chest X-rays, in particular, is attracting a lot of attention since it is important for accessibility and identification of chest diseases, as well as the current COVID-19 pandemic. However, despite the vast amount of data, there remains a limit to developing an effective AI model due to a lack of labeled data. A research that used federated learning on chest X-ray data to lessen this difficulty has emerged, although it still has the following limitations. 1) It does not consider the problems that may occur in the Non-IID environment. 2) Even in the federated learning environment, there is still a shortage of labeled data of clients. We propose a method to solve the above problems by using the self-supervised learning model as a global model of federated learning. To that aim, we investigate a self-supervised learning methods suited for federated learning using chest X-ray data and demonstrate the benefits of adopting the self-supervised learning model for federated learning.

• Journal of Yeungnam Medical Science
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• v.39 no.1
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• pp.31-38
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• 2022

Background: To prepare for future work stoppages in the medical industry, this study aimed to identify the effects of healthcare worker strikes on the mortality rate of patients visiting the emergency department (ED) at six training hospitals in Daegu, South Korea. Methods: We used a retrospective, cross-sectional, multicenter design to analyze the medical records of patients who visited six training hospitals in Daegu (August 21-September 8, 2020). For comparison, control period 1 was set as the same period in the previous year (August 21-September 8, 2019) and control period 2 was set as July 1-19, 2020. Patient characteristics including age, sex, and time of ED visit were investigated along with mode of arrival, length of ED stay, and in-hospital mortality. The experimental and control groups were compared using t-tests, and Mann-Whitney U-test, chi-square test, and Fisher exact tests, as appropriate. Univariate logistic regression was performed to identify significant factors, followed by multivariate logistic regression analysis. Results: During the study period, 31,357 patients visited the ED, of which 7,749 belonged to the experimental group. Control periods 1 and 2 included 13,100 and 10,243 patients, respectively. No significant in-hospital mortality differences were found between strike periods; however, the results showed statistically significant differences in the length of ED stay. Conclusion: The ED resident strike did not influence the mortality rate of patients who visited the EDs of six training hospitals in Daegu. Furthermore, the number of patients admitted and the length of ED stay decreased during the strike period.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.49-59
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• 2023

Recently, attention to the pandemic situation represented by COVID-19 emerged problems caused by unexpected shortage of medical personnel. In this paper, we present a method for diagnosing the presence or absence of lesional sign on PA chest X-ray images as computer vision solution to support diagnosis tasks. Method for visual anomaly detection based on feature modeling can be also applied to X-ray images. With extracting feature vectors from PA chest X-ray images and divide to patch unit, region-specific abnormality can be detected. As preliminary experiment, we created simulation data set containing multiple objects and present results of the comparative experiments in this paper. We present method to improve both efficiency and performance of the process through hard masking of patch features to aligned images. By summing up regional specificity and global anomaly detection results, it shows improved performance by 0.069 AUROC compared to previous studies. By aggregating region-specific and global anomaly detection results, it shows improved performance by 0.069 AUROC compared to our last study.

• Korean Journal of Clinical Pharmacy
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• v.33 no.3
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• pp.202-209
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• 2023

Background: With the emergent transition of online learning during the COVID-19 pandemic, the need for online/offline blended learning that can effectively be utilized in a team-based learning (TBL) course has emerged. Methods: We used the online metaverse platforms, Gather and Zoom, along with face-to-face teaching methods in a team-based Introductory Pharmacy Practice Experience (IPPE) course and examined students' learning satisfaction and achievement, as well as their preferences to the learning platforms. A survey questionnaire was distributed to the students after the IPPE course completion. All data were analyzed using Excel and SPSS. Results: Students had high levels of course satisfaction (4.61±0.57 out of 5) and achievement of course learning objectives (4.49±0.70 out of 5), and these were positively correlated with self-directed learning ability. While students believed that the face-to-face platform was the most effective method for many of the class activities, they responded that Gather was the most effective platform for team presentations. The majority of students (64.3%) indicated that blended learning was the most preferred method for a TBL course. Conclusion: Students in a blended TBL IPPE course had high satisfaction and achievements with the use of various online/offline platforms, and indicated that blended learning was the most preferred learning method. In the post-COVID-19 era, it is important to utilize the blended learning approach in a TBL setting that effectively applies online/offline platforms according to the learning contents and activities to maximize students' learning satisfaction and achievement.

• Biomedical Science Letters
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• v.28 no.4
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• pp.317-321
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• 2022

Due to COVID-19 pandemic, wearing face masks is obligatory to prevent respiratory virus transmissions in the community. However, there are few studies of the desirable number of wearing a face mask, and how to store them for reuse. Therefore, in this study, a survey was conducted among 208 healthy adults, and 27 kf-94 masks worn for 1, 2, and 3 days were collected. To estimate the risk of bacterial contamination, we analyzed the extent of bacterial contamination of the BHI medium and 16S rRNA gene sequencing. With an increase in the number of days of using the mask, the degree of bacterial contamination of the used mask gradually increased. As a result of 16S rRNA PCR performed for strain identification, Staphylococcus, known as a pathogenic bacterium, was identified the most. In conclusion, we found that wearing a cotton KF mask provides an optimal environment for microbes, which are related to the skin and respiratory system, to thrive. Therefore, it is also important to reduce the risk of bacterial infection of the face mask with appropriate sterilization methods.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.799-805
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• 2023

During the pandemic period, when non-face-to-face education became commonplace, the discourse on digital education increased rapidly. And this is reflected in education policy. This is because most policies are influenced by public discourse. Therefore, this study analyzed influential newspaper articles to analyze public discourse on digital education. The results are as follows. First, in 2020, when COVID-19 peaked, the discourse on digital education surged, which originated from the need for efficient management of learning and students in non-face-to-face education situations. Second, the discourse discussed the problem of digital competency mainly about the problem of acquiring new skills and dealt with it most importantly. Third, the discourse of digital education was dominated by discourse from the current perspective. However, it is necessary to consider the perspective of what capabilities are needed for a future society. This is just because acquiring new technologies or cultivating functions cannot be seen as the whole of digital literacy. Therefore, it is necessary to revitalize the discussion on what digital competencies are needed in the future society and reflect them in education policies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.199-204
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• 2023

The COVID-19 pandemic, which began in early 2020, became an opportunity for unprecedented global reflection and change. And it served as an opportunity to promote a new paradigm in all areas of society, including politics, economy, culture, and industry. In the midst of this upheaval, the 2022 IAA exhibition, which was held in four years, was held as an exhibition that even proposed new concepts of smart logistics and mobility services. Among them, various concepts were also proposed in exhibitions related to last mile mobility, the focus of this study.As a result of this study, the main trend of last mile mobility shown in the IAA 2022 exhibition is that the property of physical products with functions as social interfaces is expanding into the PSS (Product-Service System) ecosystem in which products and services are systematically linked. As a result, the need for a methodological approach that can organically link the design planning of social services and the development of products corresponding to it was derived.

• Advanced Industrial SCIence
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• v.2 no.1
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• pp.39-44
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• 2023

The purpose of this study is to compare the performance and satisfaction of online classes and non-face-to-face mixed classes at universities during the COVID-19 pandemic. This study was conductedtargeted fourth-grade students taking adult nursing lectures at the Department of Nursing at one university. Class performance and class satisfaction were compared between students who participated in the non-face-to-face class and participated in the non-face-to-face mixed class. class performance, students' average scores out of 100 on the final exams were compared. Class satisfaction compared the average score of questionnaire on class satisfaction Class performance was high in online classes, Class satisfaction was higher in mixed classes than in non-face-to-face classes. In the future, it will be necessary to develop and operate various educational methods for university education in the post-COVID-19 era.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.2
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• pp.70-75
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• 2022

With the spread of various digital devices, devices have become commonplace in modern society. Moreover, due to the increase in device usage and online learning while staying indoors during the COVID-19 pandemic, symptoms such as an increase in myopia in children due to eye fatigue, an increase in young presbyopia, and dry eye syndrome are increasing, and now people are paying attention to eye health. This is different from before. There are various prescriptions for eye health, but in this paper, we would like to propose a training method for enhancing visual function using VR contents. The analog methods of the existing teaching aids for visual function reinforcement training were planned and produced as digital contents, and VR-based training contents were selected from among the various methods carried out with teaching aids at the visual function training center, which can be made into contents. was developed with In the training process for each content, it was proposed to apply eye tracking to the VR device in order to give the user feedback on their participation in the training so that the management and concentration of the training process could be analyzed.