Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Kei Ishida"'
Autor:
Azusa Saika, Takahiro Nagatake, Shigenobu Kishino, Nahoko Kitamura, Tetsuya Honda, Koji Hosomi, Prabha Tiwari, Eri Node, Soichiro Kawai, Saki Kondo, Kei Ishida, Kenji Kabashima, Jun Ogawa, Jun Kunisawa
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
Intestinal bacteria metabolize dietary substances to produce bioactive postbiotics, among which some are recognized for their role in promoting host health. We here explored the postbiotic potential of two omega-3 α-linolenic acid–derived metaboli
Externí odkaz:
https://doaj.org/article/022a996b610841cea714f99a2292266c
Autor:
Kei Ishida, Takahiro Nagatake, Azusa Saika, Soichiro Kawai, Eri Node, Koji Hosomi, Jun Kunisawa
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Macrophages manifest as various subtypes that play diverse and important roles in immunosurveillance and the maintenance of immunological homeostasis in various tissues. Many in vitro studies divide macrophages into two broad groups: M1 macrophages i
Externí odkaz:
https://doaj.org/article/d2c8bd5da58d43838fde5573d46cddac
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 4, Pp 1673-1683 (2022)
In this paper, we perform the super-resolution of sea surface temperature data with the enhanced super-resolution generative adversarial network (ESRGAN), which is a deep neural network-based single-image super-resolution (SISR) method that uses a ge
Externí odkaz:
https://doaj.org/article/eb47e9bff0e94a3ead7855f685bc6bf0
Publikováno v:
Journal of Hydroinformatics, Vol 23, Iss 6, Pp 1312-1324 (2021)
This study proposes two effective approaches to reduce the required computational time of the training process for time-series modeling through a recurrent neural network (RNN) using multi-time-scale time-series data as input. One approach provides c
Externí odkaz:
https://doaj.org/article/f36464a284db4bdab36e3713acd52fd7
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 37, Iss , Pp 100921- (2021)
Study region: Kuma River Watershed in Japan. Study focus: High-quality precipitation information is desirable in hydrological modeling and water resources management. This study aimed to generate long-term fine-resolution precipitation datasets over
Externí odkaz:
https://doaj.org/article/f99907b3370f4b1493bcfa09cbfece14
Publikováno v:
Water, Vol 13, Iss 8, p 1109 (2021)
Long-term climate change may strongly affect the aquatic environment in mid-latitude water resources. In particular, it can be demonstrated that temporal variations in surface water temperature in a reservoir have strong responses to air temperature.
Externí odkaz:
https://doaj.org/article/f85eb1dbb4db422d83fd663486a2356d
Autor:
Ir. Mohd Zaki bin Mat Amin, Ali Ercan, Kei Ishida, M. Levent Kavvas, Z.Q. Chen, Su-Hyung Jang
Publikováno v:
Water, Vol 11, Iss 9, p 1798 (2019)
In this study, a regional climate model was used to dynamically downscale 15 future climate projections from three GCMs covering four emission scenarios (SRES B1, A1FI, A1B, A2) based on Coupled Model Intercomparison Project phase 3 (CMIP3) datasets
Externí odkaz:
https://doaj.org/article/218f7fa5e21144609bed0eacd0511209
Autor:
Hiroaki Ito, Shinya Tsurumaki, Takehide Hama, Kei Ishida, Tsugihiro Watanabe, Luong van Duc, Yasunori Kawagoshi
Publikováno v:
Aquatic Geochemistry. 29:1-23
Autor:
Ahmed Mostafa Abdelhady, Kazumitsu Onizuka, Kei Ishida, Sayaka Yajima, Eriko Mano, Fumi Nagatsugi
Publikováno v:
The Journal of Organic Chemistry. 87:2267-2276
Specific chemical reactions by enzymes acting on a nucleobase are realized by flipping the target base out of the helix. Similarly, artificial oligodeoxynucleotides (ODNs) can also induce the base flipping and a specific chemical reaction. We now rep
Publikováno v:
Japanese Journal of Water Treatment Biology. 58:71-81