著者

Megumi Yahara Kazuyuki Niki Keita Ueno Mio Okamoto Takeshi Okuda Hiroyuki Tanaka Yasuo Naito Ryouhei Ishii Mikiko Ueda Toshinori Ito

出版者

The Pharmaceutical Society of Japan

雑誌

Biological and Pharmaceutical Bulletin (ISSN:09186158)

巻号頁・発行日

vol.44, no.7, pp.1019-1023, 2021-07-01 (Released:2021-07-01)

参考文献数

20

被引用文献数

22

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To prevent cognitive decline, non-pharmacological therapies such as reminiscence for mild cognitive impairment (MCI) are required, however, the use of nursing homes was limited due to coronavirus disease 2019 (COVID-19). Therefore, the demand for remote-care is increasing. We hypothesized that immersive virtual reality (iVR) could be used more effectively than conventional reminiscence for anxiety. We first examined the effectiveness and safety of reminiscence using iVR (iVR reminiscence session) in patients with MCI. After COVID-19 imposed restriction on visiting nursing homes, we conducted online iVR reminiscence session (remote iVR reminiscence session) and compared its effectiveness with that of interpersonal iVR reminiscence session (face-to-face iVR reminiscence session). The results of two elderly with MCI suggested that iVR reminiscence could reduce anxiety and the burden of care without serious side effects. The effects of remote iVR reminiscence might be almost as effective as those of face-to-face one.

著者

Doudou Fall Takeshi Okuda Youki Kadobayashi Suguru Yamaguchi

雑誌

情報処理学会論文誌 (ISSN:18827764)

巻号頁・発行日

vol.56, no.6, 2015-06-15

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Cloud computing has revolutionized information technology, in that It allows enterprises and users to lower computing expenses by outsourcing their needs to a cloud service provider. However, despite all the benefits it brings, cloud computing raises several security concerns that have not yet been fully addressed to a satisfactory note. Indeed, by outsourcing its operations, a client surrenders control to the service provider and needs assurance that data is dealt with in an appropriate manner. Furthermore, the most inherent security issue of cloud computing is multi-tenancy. Cloud computing is a shared platform where users' data are hosted in the same physical infrastructure. A malicious user can exploit this fact to steal the data of the users whom he or she is sharing the platform with. To address the aforementioned security issues, we propose a security risk quantification method that will allow users and cloud computing administrators to measure the security level of a given cloud ecosystem. Our risk quantification method is an adaptation of the fault tree analysis, which is a modeling tool that has proven to be highly effective in mission-critical systems. We replaced the faults by the probable vulnerabilities in a cloud system, and with the help of the common vulnerability scoring system, we were able to generate the risk formula. In addition to addressing the previously mentioned issues, we were also able to quantify the security risks of a popular cloud management stack, and propose an architecture where users can evaluate and rank different cloud service providers.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.23(2015) No.4 (online)------------------------------