Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ryo, Matsumiya"'
Autor:
Kayoko, Tabata, Chikako, Kaminaka, Misaki, Yasutake, Ryo, Matsumiya, Yutaka, Inaba, Yuki, Yamamoto, Masatoshi, Jinnin, Takao, Fujii
Publikováno v:
Intractable Rare Dis Res
We hypothesized that changes in skin characteristics on the forearm could be useful for early diagnosis of systemic sclerosis (SSc). We used VISIA digital imaging system to investigate this possibility for the first time. Twenty-eight Japanese patien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c29d73cef949dafc7f017106057a0e39
https://doi.org/10.5582/irdr.2021.01157
https://doi.org/10.5582/irdr.2021.01157
Autor:
Naoya Mikita, Katsunori Tanaka, Takao Fujii, Ryo Matsumiya, Misaki Yasutake, Kayoko Tabata, Hisako Okuhira, Sayaka Tani, Masatoshi Jinnin
Publikováno v:
Modern Rheumatology. 31:171-176
Multiple cytokine network may control the pathogenesis of vasculopathy in patients with systemic sclerosis (SSc). We aimed at comparing angiogenic cytokine profile among SSc patients at various clinical stage.We divided nine patients with anti-centro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75238f1d0b366e45f73527fa33f06999
https://doi.org/10.1080/14397595.2020.1726599
https://doi.org/10.1080/14397595.2020.1726599
Autor:
Hiroshi Kobayashi, Masaaki Uehara, Aya Oda, Erika Matsubara, Hiroyuki Baba, Ryo Matsumiya, Noritada Yoshikawa, Osamu Hosono, Hirotoshi Tanaka
Publikováno v:
Interdisciplinary Neurosurgery, Vol 5, Iss C, Pp 1-2 (2016)
We report a 75-year-old man with glucocorticoid-responsive normal pressure hydrocephalus (NPH) complicated with tubulointerstitial renal disease, protein-losing gastroenteropathy (PLG) and elevated serum IgG4, which might be a possible subset of IgG4
Externí odkaz:
https://doaj.org/article/b17ec95037c749fdbd1482d4529f8790
Autor:
Yoshifumi Iwahashi, Kayoko Tabata, Misaki Yasutake, Ryo Matsumiya, Katsunori Tanaka, Takao Fujii, Naoichiro Yukawa, Masakazu Fujimoto
Publikováno v:
Modern Rheumatology Case Reports. 3:134-138
We experienced a case of otitis media with anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis and hypertrophic pachymeningitis (HP) followed by chronic subdural haematoma. He present...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::006ea6569cee120d8d5494e35a212b98
https://doi.org/10.1080/24725625.2019.1595945
https://doi.org/10.1080/24725625.2019.1595945
Autor:
Yasuhiko Itoh, Koichiro Ohmura, Hideto Kameda, Yuichiro Shirai, Shusaku Fukaya, Yuya Tabuchi, Masataka Kuwana, Takehisa Ogura, Yoshinao Muro, Hidekata Yasuoka, Ryo Matsumiya, Takao Fujii, Hisanori Hasegawa, Kazuhisa Nakano, Mariko Ogawa-Momohara, Yoshiya Tanaka, Yoshino Inoue, Masaaki Mori, Shintaro Hirata, Ippei Miyagawa, Keishi Fujio, Hidehiko Narazaki, Daisuke Hirano, Yumi Tsuchida, Konomi Ashihara
Publikováno v:
Modern rheumatology. 31(1)
To update and revise the diagnostic criteria for mixed connective tissue disease (MCTD) issued by the Japan Research Committee of the Ministry of Health, Labor, and Welfare (MHLW), a round table discussion by experts from rheumatology, dermatology, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afa4f5aca47a33676c211090f575e4de
https://pubmed.ncbi.nlm.nih.gov/31903831
https://pubmed.ncbi.nlm.nih.gov/31903831
Autor:
Kiyokuni Kawachiya, Haruki Imai, Negishi Yasushi, Ryo Matsumiya, Tung Le Duc, Yuki Ito, Toshio Endo
Publikováno v:
PPoPP
Neural networks (NNs) have archived high accuracy in many fields of machine learning such as image recognition. Since computations of NNs are heavy tasks, GPUs have been widely used to accelerate them. However, the problem sizes of NNs that can be co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::455e42943e816cdc163cb96960b8a696
https://doi.org/10.1145/3293883.3298790
https://doi.org/10.1145/3293883.3298790
Publikováno v:
The Journal of Supercomputing. 72:1946-1972
Operating system jitter is one of the causes of runtime overhead in high-performance computing applications. Many high-performance computing applications perform burst accesses to I/O, and such accesses consume a large amount of memory. When the Linu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe9f3a40663b81551d282206adc83b5
https://doi.org/10.1007/s11227-016-1703-1
https://doi.org/10.1007/s11227-016-1703-1
Autor:
Toshio Endo, Ryo Matsumiya
Publikováno v:
HPEC
Remote Memory Access (RMA) is a useful communication interface to develop high-performance applications with complicated communication patterns. However, the data scales of such applications are still limited by the totally available main memory capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f69248f8a7b531a2727e9cbdfcc5b06
https://doi.org/10.1109/hpec.2018.8547546
https://doi.org/10.1109/hpec.2018.8547546
Autor:
Hirotoshi Tanaka, Hiroshi Kobayashi, Jun Nakajima, Kazuhiro Nagayama, Noritada Yoshikawa, Masaaki Uehara, Erika Matsubara, Aya Oda, Shuji Tanada, Yukako Shintani, Ryo Matsumiya, Osamu Hosono
Publikováno v:
Internal Medicine. 54:2337-2341
IgG4-related pericardial involvement has rarely been reported and its clinical features remain unknown. We herein report a case of a 50-year-old woman with pericarditis who presented with a fever, elevated C-reactive protein levels, elevated serum Ig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfd71c44d7c4114768e031429b295d77
https://doi.org/10.2169/internalmedicine.54.4340
https://doi.org/10.2169/internalmedicine.54.4340
Publikováno v:
IEEE BigData
GPUs are widely used to accelerate deep learning with convolutional neural networks (CNNs). However, since GPU memory capacity is limited, it is difficult to implement efficient programs that compute large CNNs on GPU. This paper describes the design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::703f7d46e946484f485fc1debd12f744
https://doi.org/10.1109/bigdata.2017.8257926
https://doi.org/10.1109/bigdata.2017.8257926