Purpose: This study was conducted to examine the correlation between social support, loneliness, sleep quality, and perceived health status among community-dwelling older adults. Methods: Older adults who lived in urban and rural local communities were taken into account. Among them, 396 people participated in this study. Path analysis was conducted in order to verify the study model and its verification. SPSS WIN 18.0 and AMOS17.0 were used for analysis of collected data. Results: The results showed that social support had a significant effect on perceived health status (β=.17, p= .003) and loneliness (β=-.56, p<.001), while loneliness had a significant effect on perceived health status (β =-.12, p=.045) and sleep quality (β=.20, p<.001). In addition, the results also indicated that sleep quality had a significant influence on perceived health status (β=-.16, p <.001).According to results derived from the model, Chi-square=.359, df=1 NC=.359, CFI=1.0, NFI=0.98, RMSEA=.000; thus, the model was shown to be significant. Conclusion: For maintenance of the health of the aged, social support, loneliness, and sleep quality should be secured; in order to realize this, an effort should be made toward health promotion while providing the aged with more social attention.

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To investigate SARS-CoV-2 transmission from humans to animals in Seoul, South Korea, we submitted samples from companion animals owned by persons with confirmed COVID-19. Real-time PCR indicated higher SARS-CoV-2 viral infection rates for dogs and cats than previously reported from the United States and Europe. Host-specific adaptations could introduce mutant SARS-CoV-2 to humans.

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Abstract. Grid-computing on networked computers is increasingly applied to solve a variety of large-scale computation problems. Several PSEs(Problem Solving Environment) are developed to provide the application programmers with computers which are available in wide environment. However, these systems do not supplies web-based interface or the real-time visualization facility. Web technology is becoming the general technology on the development of network applications, in particular, because its interface can be made platform independent. In this paper, we propose a web-based PSE for executing the parallel SPMD application written in MPI. Also, a web-based collaborative environment is developed with a real-time visualization technology.

The Common Data Model (CDM) is being used to deal with problems caused by the various electronic medical record structures in the distributed hospital information system. The concept of CDM is emerging as a collaborative method of exchanging data from each hospital in the same format and conducting various clinical studies based on shared data. The baseline of a CDM system is centralized with an infrastructure typically controlled by a single entity with full authority. The characteristics of this centralized system can pose serious security issues. Therefore, the proposed SC-CDM system is designed as a platform for distributed ledger and provides data with a high level of confidentiality, security, and scalability. This framework provides a reference model that supports multiple channels, using secure CDM as an encryption method. The data confidentiality of CDM is guaranteed by asymmetric and symmetric protocols. Delivering CDM is protected by a symmetric key signed by the CDM creator and maintains lightweight distributed ledger transactions on Inter Planetary File System (IPFS), which acts as a file share. To deliver an encrypted CDM on the SC-CDM platform, the CDM is encrypted with a block cipher by a random symmetric key and Initialization Vector (IV). The symmetric key protocol is used for the fast encryption of large-capacity data. The SC-CDM is implemented the repository with IPFS for storing the encrypted CDM, in which symmetric key, two hash values, and IV are shared through blockchain. Data confidentiality of SC-CDM is guaranteed by only registered users accessing the data. In conclusion, the SC-CDM is the first approach to demultiplexing with the data confidentiality proof based on asymmetric key cryptography. We analyze and verify the security of SC-CDM by comparing qualitative factors and performance with existing CDM. Moreover, we adopt a byte-level processing method with encryption to ensure efficiency while handling a large CDM.