Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Tomohiro Takagi"'
Publikováno v:
BMC Research Notes, Vol 15, Iss 1, Pp 1-6 (2022)
Abstract Objective Erucin (ERN), an isothiocyanate, is derived from the vegetable arugula. Although ERN has antitumor and antioxidant activity, the effect of ERN on osteoclast and osteoblast differentiation is not well documented. In this study, we e
Externí odkaz:
https://doaj.org/article/e4487edba674456e89c6ef374b98e641
Publikováno v:
2023 IEEE 17th International Conference on Semantic Computing (ICSC).
Publikováno v:
2023 IEEE 17th International Conference on Semantic Computing (ICSC).
Autor:
Keiichi Suekane, Ryo Osawa, Aozora Inagaki, Taiga Matsui, Tomohiro Tanabe, Keita Ishikawa, Tomohiro Takagi
Publikováno v:
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR).
Autor:
Takashi Morishita, Shinsuke Fujioka, Tomohiro Takagi, Kazuya Saita, Noriko Hirao, Tooru Inoue
Publikováno v:
NMC Case Report Journal
Dystonia is a movement disorder that has various treatment options. For primary dystonia, stereotactic procedures such as deep brain stimulation (DBS) have demonstrated favorable outcomes. For secondary dystonia, however, the treatment outcomes remai
Autor:
Ryozo Masukawa, Shosuke Haji, Tomohiro Takagi, Taiga Matsui, Keita Ishikawa, Masane Fuchi, Kazuki Yamaji
Publikováno v:
IIAI Letters on Informatics and Interdisciplinary Research. 3:1
Autor:
Shosuke Haji, Kazuki Yamaji, Tomohiro Takagi, So Takahashi, Yukihiko Hayase, Yasuko Ebihara, Hiroshi Ito, Yoshiyuki Sakai, Tomoyuki Furukawa
Publikováno v:
IIAI Letters on Informatics and Interdisciplinary Research. 3:1
Publikováno v:
MIPR
Recently, studies on human behavior have been frequently conducted. Predicting human mobility is one area of interest. However, it is difficult since human activities are the result of various factors such as periodicity, changes of preferences, and
Publikováno v:
MIPR
In the field of behavior prediction, methods have been developed to predict the state of the user by using the previous state or time-series of recorded behavior histories. However, so far, there has been no effort to capture time series reflecting t
Publikováno v:
MIPR
Predicting human behavior using logs that include user location information and categories of facilities visited is being actively researched. However, not enough research has focused on user behavioral embedding expressing user preferences. We have