Zobrazeno 1 - 10
of 3 858
pro vyhledávání: '"E. Miura"'
Autor:
Gláucio Lopes Ramos, Paulo Victor Padrão Lopes, Natália Nogueira Monteiro, Matheus B. Moura, Alexandre de Oliveira Mieli, Leni J. Matos
Publikováno v:
Brazilian Journal of Development. 7:95872-95884
This work consists in verifying two prediction models applied in outdoor-to-indoor coverage, but now taking in consideration that there is some vegetation between the transmission antenna and the indoor environment and lateral obstacles. Measurements
Autor:
Yosuke Hayashi, Takashi Shimazui, Keisuke Tomita, Tadanaga Shimada, Rie E. Miura, Taka-aki Nakada
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Increased fluid overload (FO) is associated with poor outcomes in critically ill patients, especially in acute kidney injury (AKI). However, the exact timing from when FO influences outcomes remains unclear. We retrospectively screened inten
Externí odkaz:
https://doaj.org/article/91d5c7feb6294565a801a7682711cb4c
Autor:
Metzger, Gregory
Publikováno v:
In Urologic Oncology: Seminars and Original Investigations 2007 25(4):359-360
Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest
Autor:
Kaoru Shimada-Sammori, Tadanaga Shimada, Rie E. Miura, Rui Kawaguchi, Yasuo Yamao, Taku Oshima, Takehiko Oami, Keisuke Tomita, Koichiro Shinozaki, Taka-aki Nakada
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Predicting out-of-hospital cardiac arrest (OHCA) events might improve outcomes of OHCA patients. We hypothesized that machine learning algorithms using meteorological information would predict OHCA incidences. We used the Japanese population
Externí odkaz:
https://doaj.org/article/06db531055b84a178b9099bfada32b25
Autor:
Yoichi Yoshida, Yosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, Keisuke Tomita, Rie E. Miura, Yasuo Yamao, Shino Tateishi, Yasuo Iwadate, Taka-aki Nakada
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract While the development of prehospital diagnosis scales has been reported in various regions, we have also developed a scale to predict stroke type using machine learning. In the present study, we aimed to assess for the first time a scale tha
Externí odkaz:
https://doaj.org/article/274db647c6be4a20a43dae8ed0c5f2e2
Autor:
K. Abe, M. Kitago, S. Matsuda, M. Shinoda, H. Yagi, Y. Abe, G. Oshima, S. Hori, Y. Endo, T. Yokose, E. Miura, N. Kubota, A. Ueno, Y. Masugi, H. Ojima, M. Sakamoto, Y. Kitagawa
Publikováno v:
Surgical Case Reports, Vol 8, Iss 1, Pp 1-10 (2022)
Abstract Background Follicular dendritic cell sarcoma is a rare stromal tumor with no standard treatment. However, some reports have revealed that follicular dendritic cell sarcoma has an inflammatory pseudotumor variant associated with Epstein–Bar
Externí odkaz:
https://doaj.org/article/34d08cbb59984effaa1d26baafc5b732
Autor:
Masahiko Takeda, Takehiko Oami, Yosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, Kazuya Tateishi, Rie E. Miura, Yasuo Yamao, Ryuzo Abe, Yoshio Kobayashi, Taka-aki Nakada
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Rapid and precise prehospital recognition of acute coronary syndrome (ACS) is key to improving clinical outcomes. The aim of this study was to investigate a predictive power for predicting ACS using the machine learning-based prehospital alg
Externí odkaz:
https://doaj.org/article/d415648c159e4c6ca8f427797ad92bb4
Autor:
Yosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, Takashi Shimazui, Yoichi Yoshida, Rie E. Miura, Yasuo Yamao, Ryuzo Abe, Eiichi Kobayashi, Yasuo Iwadate, Taka-aki Nakada
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract High precision is optimal in prehospital diagnostic algorithms for strokes and large vessel occlusions. We hypothesized that prehospital diagnostic algorithms for strokes and their subcategories using machine learning could have high predict
Externí odkaz:
https://doaj.org/article/2e24625ae1944335b0c011629b4192ab
Autor:
T. Ozaki, Y. Abe, Y. Arikawa, Y. Sentoku, J. Kawanaka, S. Tokita, N. Miyanaga, T. Jitsuno, Y. Nakata, K. Tsubakimoto, A. Sunahara, T. Jhozaki, E. Miura, O. Komeda, A. Iwamoto, H. Sakagami, S. Okihara, K. Ishii, R. Hanayama, Y. Mori, Y. Kitagawa
Publikováno v:
Nuclear Fusion, Vol 63, Iss 3, p 036009 (2023)
Polystyrene deuteride shell targets with two holes were imploded by the Gekko XII laser and additionally heated by the LFEX laser in a direct fast ignition experiment. In general, when an ultra-intense laser is injected into a blow-off plasma created
Externí odkaz:
https://doaj.org/article/5878afc229e0419f82990126da5238c3
Autor:
Kazuyuki Muraoka, AAS Journals Data Editors, Ayu Konishi, Kazuki Tokuda, Hiroshi Kondo, Rie E. Miura, Tomoka Tosaki, Sachiko Onodera, Nario Kuno, Masato I. N. Kobayashi, Kisetsu Tsuge, Hidetoshi Sano, Naoya Kitano, Shinji Fujita, Atsushi Nishimura, Toshikazu Onishi, Kazuya Saigo, Rin I. Yamada, Fumika Demachi, Kengo Tachihara, Yasuo Fukui, Akiko Kawamura
Publikováno v:
The Astrophysical Journal, Vol 953, Iss 2, p 164 (2023)
We present the results of ALMA-ACA 7 m array observations in ^12 CO( J = 2–1), ^13 CO( J = 2–1), and C ^18 O( J = 2–1) line emission toward the molecular-gas disk in the Local Group spiral galaxy M33 at an angular resolution of 7.″31 × 6.″
Externí odkaz:
https://doaj.org/article/d268689c85164dbca3b678c3e93a8777