Zobrazeno 1 - 10
of 432
pro vyhledávání: '"Kenji, Nagata"'
Autor:
Akira Sugimoto, Hiroyasu Kaneda, Naoki Yoshimoto, Kenji Nagata, Tatsuo Fujii, Koichi Michimoto, Shunsuke Ueno, Takao Kamimori, Yoshie Ishii, Mai Sakagami, Haruo Inokuchi, Keiko Shibuya, Megumi Mizutani, Hiroaki Nagamine, Kenji Nakahama, Yoshiya Matsumoto, Yoko Tani, Kenji Sawa, Tomoya Kawaguchi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The usefulness of the derived neutrophil-to-lymphocyte ratio (dNLR) and its dynamics before/after durvalumab consolidation therapy to predict safety or efficacy remains unclear. We retrospectively reviewed patients with locally advanced non-
Externí odkaz:
https://doaj.org/article/a1e3dc2e879d4326860faa2cdb518933
Autor:
Naoko Ishida, Kenji Nagata, Jyunki Fukuda, Yasuo Oguma, Tomonori Hirashima, Kenichi Minami, Yasumasa Nishimura, Yukinori Matsuo
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-6 (2024)
Abstract Background Surgery is the standard care for patients with early-stage lung cancer, and stereotactic body radiation therapy is an option for those who are medically inoperable or refuse surgery. Medical developments in diagnostic and therapeu
Externí odkaz:
https://doaj.org/article/7834fa7af50b4a71aab4b9129a20621a
Autor:
Shuhei Kashiwamura, Shun Katakami, Taiga Yamasaki, Kazunori Iwamitsu, Hiroyuki Kumazoe, Kenji Nagata, Toshihiro Okajima, Ichiro Akai, Masato Okada
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
We demonstrate that the noise tolerance of X-ray absorption near-edge structure (XANES) analysis can be improved by reconsidering the noise model. XANES measurement is a powerful technique to investigate the structure and electronic state of material
Externí odkaz:
https://doaj.org/article/2673e94dd67e4d798241747940f20cc1
Autor:
Ryo Murakami, Taisuke T. Sasaki, Hideki Yoshikawa, Yoshitaka Matsushita, Keitaro Sodeyama, Tadakatsu Ohkubo, Hiroshi Shinotsuka, Kenji Nagata
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
To advance the development of materials through data-driven scientific methods, appropriate methods for building machine learning (ML)-ready feature tables from measured and computed data must be established. In materials development, X-ray diffracti
Externí odkaz:
https://doaj.org/article/576ae5c6c20e4d168b1c6b8cd991f06c
Maximum a posteriori estimation for high-throughput peak fitting in X-ray photoelectron spectroscopy
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
We introduce a peak fitting method to estimate the model parameters and the number of peaks without using the conventional trial-and-error approach. The proposed method automatically removes excess peaks using maximum a posteriori estimation. The com
Externí odkaz:
https://doaj.org/article/bbeaf9dcc5664837becad2e2c7492a24
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
ABSTRACTCrystalline phase structure is essential for understanding the performance and properties of a material. Therefore, this study identified and quantified the crystalline phase structure of a sample based on the diffraction pattern observed whe
Externí odkaz:
https://doaj.org/article/06d1f2165c7e47c78f7894df65a3e5d4
Autor:
Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi
Publikováno v:
Science and Technology of Advanced Materials (2024)
Predicting the mechanical properties of polymer materials using machine learning is essential for the design of next-generation of polymers. However, the strong relationship between the higher-order structure of polymers and their mechanical properti
Externí odkaz:
https://doaj.org/article/830a42b633184e20875077cae6e2e308
Autor:
Daisuke Kimura, Masahiko Demura, Kenji Nagata, Toshihira Irisawa, Yoshiki Sugimoto, Wataru Takarada, Masatoshi Shioya
Publikováno v:
Carbon Trends, Vol 15, Iss , Pp 100346- (2024)
The analysis method proposed by Ruland et al. is widely used to analyze the void lengths in carbon fibers, but it could not apply to mesophase pitch-based carbon fibers. We thought that the reason for the inability to analyze pitch-based carbon fiber
Externí odkaz:
https://doaj.org/article/4656fd18e7b6418fa87171d1e58ef796
Autor:
Hiroshi Tanaka, Kentaro Kojima, Takafumi Miyatani, Natsuki Kusada, Nobuhiro Terao, Kenji Nagata, Chie Sotozono
Publikováno v:
American Journal of Ophthalmology Case Reports, Vol 34, Iss , Pp 102034- (2024)
Purpose: To report a case of a refractory foveal microaneurysm (MA) that was successfully treated by use of a new surgical procedure. Observations: This study involved a 79-year-old female with an active foveal MA associated with branch retinal vein
Externí odkaz:
https://doaj.org/article/8a666fb46d184d7fb80d090c4f2d95b7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Active learning is a common approach to improve the efficiency of spectral experiments. Model selection from the candidates and parameter estimation are often required in the analysis of spectral experiments. Therefore, we proposed an active
Externí odkaz:
https://doaj.org/article/4fc7c0ccb2384906a012af1715b7b261