Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Satoshi Kagiwada"'
Autor:
Bowen Zhang, Erika Teraguchi, Kazuki Imada, Yuhei O. Tahara, Shuko Nakamura, Makoto Miyata, Satoshi Kagiwada, Taro Nakamura
Publikováno v:
Journal of Fungi, Vol 6, Iss 4, p 284 (2020)
In Schizosaccharomyces pombe, the spore wall confers strong resistance against external stress. During meiosis II, the double-layered intracellular forespore membrane (FSM) forms de novo and encapsulates the nucleus. Eventually, the inner FSM layer b
Externí odkaz:
https://doaj.org/article/5e20d7e4c90848f692662a1ecc2e8d57
Autor:
Ken Komatsu, Masayoshi Hashimoto, Johji Ozeki, Yasuyuki Yamaji, Kensaku Maejima, Hiroko Senshu, Misako Himeno, Yukari Okano, Satoshi Kagiwada, Shigetou Namba
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 23, Iss 3, Pp 283-293 (2010)
Resistant plants respond rapidly to invading avirulent plant viruses by triggering a hypersensitive response (HR). An HR is accompanied by a restraint of virus multiplication and programmed cell death (PCD), both of which have been observed in system
Externí odkaz:
https://doaj.org/article/2b808cfeba2e4de2a01616b23b87e6b3
Autor:
Johji Ozeki, Masayoshi Hashimoto, Ken Komatsu, Kensaku Maejima, Misako Himeno, Hiroko Senshu, Takeshi Kawanishi, Satoshi Kagiwada, Yasuyuki Yamaji, Shigetou Namba
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 22, Iss 6, Pp 677-685 (2009)
Potexvirus cell-to-cell movement requires coat protein (CP) and movement proteins. In this study, mutations in two conserved in-frame AUG codons in the 5′ region of the CP open reading frame of Plantago asiatica mosaic virus (PlAMV) were introduced
Externí odkaz:
https://doaj.org/article/bc725050a8014f3eb00876b9b2fb834d
Autor:
Reiko Suzuki, Naoko Ito, Yuki Uno, Ichiro Nishii, Satoshi Kagiwada, Sigeru Okada, Tetsuko Noguchi
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e81626 (2013)
The colonial microalga Botryococcus braunii accumulates large quantities of hydrocarbons mainly in the extracellular space; most other oleaginous microalgae store lipids in the cytoplasm. Botryococcus braunii is classified into three principal races
Externí odkaz:
https://doaj.org/article/747dbf55bc1840c59b3384b2e784effe
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:1258-1267
Many applications for the automated diagnosis of plant disease have been developed based on the success of deep learning techniques. However, these applications often suffer from overfitting, and the diagnostic performance is drastically decreased wh
Publikováno v:
Acarologia. 62:273-301
The reason for this study was to compare the morphology of mites from three Japanese samples with topotypes from the Nalepa collection, in order to correctly identify them. With this purpose eriophyoid specimens were recovered from five vials of the
Autor:
Shin-ichi Fuji, Tomofumi Mochizuki, Mitsuru Okuda, Shinya Tsuda, Satoshi Kagiwada, Ken-Taro Sekine, Masashi Ugaki, Keiko T. Natsuaki, Masamichi Isogai, Tetsuo Maoka, Minoru Takeshita, Nobuyuki Yoshikawa, Kazuyuki Mise, Takahide Sasaya, Hideki Kondo, Kenji Kubota, Yasuyuki Yamaji, Toru Iwanami, Kazusato Ohshima, Kappei Kobayashi, Tatsuji Hataya, Teruo Sano, Nobuhiro Suzuki
Publikováno v:
Journal of General Plant Pathology. 88:105-127
An increasing number of plant viruses and viroids have been reported from all over the world due largely to metavirogenomics approaches with technological innovation. Herein, the official changes of virus taxonomy, including the establishment of mega
Publikováno v:
Journal of the Acarological Society of Japan. 28:17-27
Autor:
Satoi Kanno, Shunta Nagasawa, Satoshi Kagiwada, Hitoshi Iyatomi, Syogo Shibuya, Hiroyuki Uga, Quan Huu Cap
Publikováno v:
2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).
Image-based autonomous diagnosis for plants is a difficult task since plant symptoms are visually subtle. This subtlety leads to the system overfitting as it sometimes responds to non-essential parts in images such as background or sunlight condition
The collection of high-resolution training data is crucial in building robust plant disease diagnosis systems, since such data have a significant impact on diagnostic performance. However, they are very difficult to obtain and are not always availabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a87304fe7d79738da8871b53457138d7