Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Masato Sasa"'
1
Akademický článek
An immune-adrenergic pathway induces lethal levels of platelet-activating factor in mice
Autor: Shuto Tanaka, Masataka Kawakita, Hikaru Yasui, Koichi Sudo, Fumie Itoh, Masato Sasaki, Nobuyuki Shibata, Hiromitsu Hara, Yoichiro Iwakura, Tomomi Hashidate-Yoshida, Hideo Shindou, Takao Shimizu, Taiki Oyama, Himawari Matsunaga, Kazuhiko Takahara
Publikováno v: Communications Biology, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract Acute immune responses with excess production of cytokines, lipid/chemical mediators, or coagulation factors, often result in lethal damage. In addition, the innate immune system utilizes multiple types of receptors that recognize neurotrans
Externí odkaz: https://doaj.org/article/1ce32dd6b57e4157970de60655be50fa
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2
Akademický článek
One-carbon metabolizing enzyme ALDH1L1 influences mitochondrial metabolism through 5-aminoimidazole-4-carboxamide ribonucleotide accumulation and serine depletion, contributing to tumor suppression
Autor: Masato Sasaki, Kazuo Yamamoto, Takeshi Ueda, Hayato Irokawa, Kouki Takeda, Ryoya Sekine, Fumie Itoh, Yutaka Tanaka, Shusuke Kuge, Nobuyuki Shibata
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Tumor cells generally require large amounts of nucleotides, and thus activate de novo purine synthesis (dnPS). In the dnPS reactions, 10-formyltetrahydorofolate (10-fTHF) supplied by one-carbon metabolism is utilized as a formyl group donor.
Externí odkaz: https://doaj.org/article/f499bf25820a4eba89aacc356f535a88
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4
Neural network based toughness prediction in HAZ of low alloy steel produced by temper bead welding repair technology
Autor: Masato Sasa, Masashi Kameyama, Masahito Mochizuki, Takehiko Sera, Naoki Chigusa, Kenta Ohnishi, Li Na Yu, Kazutoshi Nishimoto, S Hirano, Kazuyoshi Saida
Publikováno v: Science and Technology of Welding and Joining. 18:120-134
The pressure vessels of aged nuclear power plants are needed to repair or maintain, and temper bead welding (TBW) is one effective repair welding method instead of post weld heat treatment. For TBW, toughness is the key criteria to evaluate the tempe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::78a359f90965d42ded414f62ed6a55e9
https://doi.org/10.1179/1362171812y.0000000091
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6
Akademický článek
Development of evaluation for sinter ore mixing using discrete element method
Autor: Yusuke ISHIGAKI, Masato SASAKI, Yoshiaki NISHINA
Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 89, Iss 924, Pp 23-00018-23-00018 (2023)
Recent increase of low-grade, finer iron ore leads to development of powder handling methodology applicable for fine powders. In order to reduce developing time of mechanical facilities, development of optimization methodology of mechanical property
Externí odkaz: https://doaj.org/article/e83ac9098813467390727911c5a9235d
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8
Neural Network Based Toughness Prediction in CGHAZ of Low-Alloy Steel Produced by Temper Bead Welding
Autor: Masashi Kameyama, Naoki Chigusa, Masato Sasa, Masahito Mochizuki, Kenta Ohnishi, Shinro Hirano, Kazuyoshi Saida, Li Na Yu, Kazutoshi Nishimoto
Publikováno v: Applied Mechanics and Materials. :1880-1887
In temper bead welding, toughness is one of the key criteria to evaluate the tempering effect. A neural network-based method for toughness prediction in the coarse grained heat affected zone (CGHAZ) of low-alloy steel has been investigated in the pre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee85e5b643ef0fb61e3664e94bf5bffe
https://doi.org/10.4028/www.scientific.net/amm.117-119.1880
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9
Prediction of hardness in HAZ of multi-pass welds in low-alloy steel using Neural Network
Autor: Kazutoshi Nishimoto, Masashi Kameyama, Naoki Chigusa, Shinro Hirano, Shinsuke Itoh, Masato Sasa, Masahito Mochizuki, Kazuyoshi Saida, Yuma Nakabayashi, Lina Yu
Publikováno v: QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY. 29:154-161
In temper bead welding, hardness is one of the key criteria to evaluate the tempering effect. A neural network-based method for hardness prediction in the heat affected zone (HAZ) of low-alloy steel has been investigated in the present study to evalu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2792e6f800305f7928f5b9776f09c2b8
https://doi.org/10.2207/qjjws.29.154
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10
Neural Network Prediction of Hardness in HAZ of Temper Bead Welding Using the Proposed Thermal Cycle Tempering Parameter (TCTP)
Autor: Naoki Chigusa, Kazutoshi Nishimoto, Shinsuke Itoh, Masashi Kameyama, Shinro Hirano, Kazuyoshi Saida, Lina Yu, Masahito Mochizuki, Yuma Nakabayashi, Masato Sasa
Publikováno v: ISIJ International. 51:1506-1515
A new thermal cycle tempering parameter (TCTP) to characterize the tempering effect during multi-pass thermal cycles has been proposed by extending the Larson-Miller parameter (LMP) to non-isothermal heat treatment. Experimental results revealed that
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1cf4dcf0acf22e757d8ab16ac4fcde4d
https://doi.org/10.2355/isijinternational.51.1506
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