• Title/Summary/Keyword: Post Covid 19

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An Analysis of Productivity and Efficiency in Indian Non-Life Insurance Companies: DEA-Based Approach (DEA를 이용한 인도 손해보험회사의 효율성 및 생산성 분석)

  • Seo, Daigyo;Kwon, Yongjae
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.217-225
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    • 2022
  • We analyzed efficiency and productivity of the Indian non-life insurance market affected by the COVID-19 pandemic from 2020. Using data envelopment analysis(DEA), we examined non-life insurance companies selling health insurance products in India from FY2013 to FY2019. We found the followings. First, average efficiency of the entire non-life insurance industry worsened in the beginning yet improved later. Second, analyzing the efficiency measures by group, we found that private insurance companies had the highest efficiency, followed by state-run insurance companies and pure health insurance companies. Third, average annual productivity growth rate of companies operating distance selling channels including telemarketing is higher than that of traditional face-to-face channels. During and after the COVID-19 pandemic, therefore, Indian non-life insurance companies should focus their resources and efforts on the development of distance selling channels when establishing business strategies. Besides, it would be interesting to extend our analysis to the post-coronavirus period and we leave this for future research.

Expression and Immunogenicity of SARS-CoV-2 Virus-Like Particles based on Recombinant Truncated HEV-3 ORF2 Capsid Protein

  • Zhou, Yong-Fei;Nie, Jiao-Jiao;Shi, Chao;Ning, Ke;Cao, Yu-Feng;Xie, Yanbo;Xiang, Hongyu;Xie, Qiuhong
    • Journal of Microbiology and Biotechnology
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    • v.32 no.10
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    • pp.1335-1343
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    • 2022
  • COVID-19 is an emerging disease that poses a severe threat to global public health. As such, there is an urgent demand for vaccines against SARS-CoV-2, the virus that causes COVID-19. Here, we describe a virus-like nanoparticle candidate vaccine against SARS-CoV-2 produced by an E. coli expression system. The fusion protein of a truncated ORF2-encoded protein of aa 439~608 (p170) from hepatitis E virus CCJD-517 and the receptor-binding domain of the spike protein from SARS-CoV-2 were expressed, purified and characterized. The antigenicity and immunogenicity of p170-RBD were evaluated in vitro and in Kunming mice. Our investigation revealed that p170-RBD self-assembled into approximately 24 nm virus-like particles, which could bind to serum from vaccinated people (p < 0.001) and receptors on cells. Immunization with p170-RBD induced the titer of IgG antibody vaccine increased from 14 days post-immunization and was significantly enhanced after a booster immunization at 28 dpi, ultimately reaching a peak level on 42 dpi with a titer of 4.97 log10. Pseudovirus neutralization tests showed that the candidate vaccine induced a strong neutralizing antibody response in mice. In this research, we demonstrated that p170-RBD possesses strong antigenicity and immunogenicity and could be a potential candidate for use in future SARS-CoV-2 vaccine development.

Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data (BGP 네트워크 데이터 내의 이상징후 감지를 위한 인터랙티브 시각화 분석 기법)

  • Choi, So-mi;Kim, Son-yong;Lee, Jae-yeon;Kauh, Jang-hyuk;Kwon, Koo-hyung;Choo, Jae-gul
    • Journal of Internet Computing and Services
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    • v.23 no.5
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    • pp.135-143
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    • 2022
  • As the world has implemented social distancing and telecommuting due to the spread of COVID-19, real-time streaming sessions based on routing protocols have increased dependence on the Internet due to the activation of video and voice-related content services and cloud computing. BGP is the most widely used routing protocol, and although many studies continue to improve security, there is a lack of visual analysis to determine the real-time nature of analysis and the mis-detection of algorithms. In this paper, we analyze BGP data, which are powdered as normal and abnormal, on a real-world basis, using an anomaly detection algorithm that combines statistical and post-processing statistical techniques with Rule-based techniques. In addition, we present an interactive spatio-temporal analysis plan as an intuitive visualization plan and analysis result of the algorithm with a map and Sankey Chart-based visualization technique.

A Case Study on the Application of Flipped Learning in Untact Online Classes: Focusing on Social and Engineering Subjects (비대면 온라인 수업에서의 플립러닝 적용 사례연구: 사회계열 교과목과 공학계열 교과목을 중심으로)

  • Sung, Miyoung;Park, Yonghan;Jung, Se-Youn
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.310-323
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    • 2021
  • In this study, we analyzed the application of flipped learning in the untact online classes, focusing on thr social and engineering subjects of universities. Due to the unprecedented situation of COVID-19, the professors and learners were unable to conduct the face-to-faceclasses, and the existing flipped learning classes were analyzed separately from the social and engineering subjects. In particular, the results of this study will provide the basic data on the direction of post-corona-era university classes in that it can increase the effectiveness of flipped learning if it is linked to the flexibility of the university's academic system such as intensive course.

A Study on Visual Perception Scalability of AR/QR Picture Book Animation: Focusing on the Design Characteristics of the Picture Book 〈Where is this?〉 (AR·QR 그림책 애니메이션의 시지각 확장성 연구: 그림책 <여기가 어디지?>의 설계적 특징을 중심으로)

  • Sung Won Park;Jae Yun Park
    • Journal of Information Technology Applications and Management
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    • v.30 no.1
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    • pp.21-32
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    • 2023
  • This study presents a way to design picture books that allow children to experience indirectly through realistic media at home and educational institutions for children whose direct experiences and activities are reduced offline in the post-COVID-19 era. The development and popularization of realistic media such as AR continues to be grafted and developed in the picture book field, and the advantage of this picture book is that children at the stage before learning letters can feel the story and character situation of the book through the experience of AR and QR animation in the picture book. In this process, you can get access to imaginary areas that can not be experienced in flat-panel illustrations with spatial animation to help improve the scalability and literacy of the story contained on the page. Children's education through realistic animation can increase the learning effect and needs to continue after COVID-19. Therefore, by presenting the process of viewing and experiencing picture books using AR and QR, the result of the study suggests that the design process of realistic picture books is not just a combination of technology, but a process of expanding children's perception and imagination. This study aims to find out how visual perception is designed differently by analyzing the differences and characteristics of each animation design, focusing on the AR and QR picture book "Where am I?" published by the researcher, and to contribute to the active introduction and development of realistic animation in the field of children's picture books and education.

Effects of Blended Learning on Pharmacy Student Learning Satisfaction and Learning Platform Preferences in a Team-based Learning Pharmacy Experiential Course: A Pilot Study (블렌디드 러닝을 활용한 팀 기반 학습 실습 수업에서 약학대학 학생의 학습만족도와 플랫폼 선호도: 예비 연구)

  • So Won Kim;Eun Joo Choi;Yun Jeong Lee
    • 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.

Understanding the Current Trend of Home Care Assessment in the Post-COVID-19 Era by Comparing Outcome and Assessment Information Set (OASIS)-D and E (미국 환자사정도구(OASIS) 개정 사례를 통한 포스트코로나 시대의 가정간호 환자사정 동향 파악)

  • Hwang, Jinkyoung;Lee, Hana;Kim, Aeri;Woo, Kyungmi
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.30 no.1
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    • pp.105-114
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    • 2023
  • Purpose: This study aimed to comprehensively analyze the recent revision of the Outcome and Assessment Information Set (OASIS)-D to version E in the United States to identify the most recent trends in home health care and provide suggestions for implementing home health care in Korea. Methods: This study is a comprehensive literature review. We compared all items in OASIS-D and OASIS-E and identified the most significant changes. Additionally, we have discussed the context in depth. Results: The addition of items related to health literacy and medication reconciliation, strengthening assessment in the cognitive and mood domains, and improving items related to pain assessment were identified. These major revisions resulted from a greater emphasis in the healthcare field on social determinants of health. Additionally, the COVID-19 outbreak highlighted the importance of monitoring and managing the symptoms of home care patients in the community. Conclusion: The key items of the OASIS amendment and their background analysis proposed in this study could serve as a cornerstone for the revision of home health care assessment tools or the development of systematic common assessment tools in Korea.

Korean College Students' Perceptions of Offline Classes after COVID-19: Focused on Their Social Interactions and Senses of Community (문제중심학습(PBL)이 현장실습수업 참여능력과문제해결력 향상에 미치는 영향)

  • Kyeong-Hee Rha;Ji-Yeon Baek
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.169-174
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    • 2023
  • The purpose of this study is to analyze Korean college students' perceptions of interactions and senses of community, among students, and instructors and students as they took face-to-face classes by the time students and instructors came back to the classroom. Forty-nine college students participated in the study, and all of them had experienced non-face-to-face classes during the last two years from 2020 through 2021. They responded to the revised Rovai (2002)'s Classroom Community Scale (CCS), and the data were analyzed using a frequency analysis. The findings of data analysis showed that the students positively perceived the class contents and teaching formats of face-to-face classes, in terms of understanding and concentration on the class. On the other hand, it was found out that the students would still need more time for being familiar with face-to-face classes, and their affective variables of the educational environment should be considered.

Performance and Satisfaction of Online and Non-face-to-face Mixed Classes (온라인 수업과 비대면 혼합수업의 성과와 만족도)

  • Sun Young Park
    • 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.

AI and Public Services: Focusing on Analytics on Citizens' Perceptions of AI Speaker and Non-Contact Smart City Services in the Era of Post-Corona (AI와 공공서비스: 포스트 코로나 시대 AI 스피커 및 비대면 스마트시티 서비스 시민 인식 분석을 중심으로)

  • Kim, Byoung Joon
    • Journal of Information Technology Services
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    • v.20 no.5
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    • pp.43-54
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    • 2021
  • Currently, citizens' expectations and concerns on utilizing artificial intelligence (AI) technologies in the public sector are widening with the rapid digital transformation. Furthermore the level of global acceptance on the AI and other intelligent digital technologies is augmenting with the needs of non-face-to-face types of public services more than ever due to the unforeseen and unpredictable pandemic, COVID-19. Thus, this study intended to empirically examine what policy directions for the public should be considered to provide well-designed services as well as to promote the evidence-based public policies in terms of Al speaker technology as a non-contact smart city service. Based on the survey of senior citizens' perceptions on AI (AI Speaker technology), this study conducted structure equation modeling analyses to identify whether technology acceptance models on to the varied dependent variables such as actual use, perception, attitude, and brand royalty. The Results of the empirical analyses showed that AI increased the positive level of citizens' perception, attitude and brand royalty on non-contact public services (smart city services) which are becoming more crucial for developing AI oriented government and providing intelligent public services effectively. In addition, theoretical and practical implications are discussed for understanding the changes of public service in the post-corona.