Zobrazeno 1 - 10
of 365
pro vyhledávání: '"Kaoru SHIMADA"'
Autor:
Takafumi Tsushima, Nobue Sato, Yong‐Mei Guo, Hirotaka Nakamura, Kodai Kunisada, Song‐Gi Chi, Kenta Akie, Yuki Takahashi, Saki Nakamura, Kaoru Shimada, Genichiro Ishii, Yosuke Minami, Junichiro Yuda
Publikováno v:
eJHaem, Vol 5, Iss 3, Pp 642-645 (2024)
Externí odkaz:
https://doaj.org/article/f1890cd31aac44ff9522187493b7490c
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:
Yumiko Sekiya, Kaoru Shimada, Hiroshi Takahashi, Chisa Kuga, Shunsuke Komachi, Keishi Miwa, Toru Kotani
Publikováno v:
Intensive Care Medicine Experimental, Vol 9, Iss 1, Pp 1-14 (2021)
Abstract Background Platelet–neutrophil complexes (PNCs) readily migrate into tissues and induce tissue damage via cytokine or other pathogenic factors release. These actions are involved in onset and progression of acute respiratory distress syndr
Externí odkaz:
https://doaj.org/article/1bba598c66f34068bb399765299fbcfe
Autor:
Yosuke Kurashima, Takaaki Kigoshi, Sayuri Murasaki, Fujimi Arai, Kaoru Shimada, Natsumi Seki, Yun-Gi Kim, Koji Hase, Hiroshi Ohno, Kazuya Kawano, Hiroshi Ashida, Toshihiko Suzuki, Masako Morimoto, Yukari Saito, Ai Sasou, Yuki Goda, Yoshikazu Yuki, Yutaka Inagaki, Hideki Iijima, Wataru Suda, Masahira Hattori, Hiroshi Kiyono
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Glycoprotein-2 (GP-2) can protect the intestinal epithelial barrier from bacteria and is associated with protection against Crohn’s disease. Here, the authors show pancreatic GP-2 is the source of the intestine’s luminal GP-2 that binds bacteria
Externí odkaz:
https://doaj.org/article/f5da787852fa46ccab231d2284892574
Publikováno v:
Tobacco Induced Diseases, Vol 16, Iss February, Pp 1-9 (2018)
Introduction Secondhand smoke (SHS) exposure is a risk factor for early childhood caries. Here we examined the association between SHS exposure and early tooth eruption (ETE) to clarify the additional etiology of an increased chance of contact betwee
Externí odkaz:
https://doaj.org/article/a883df6cd22e42a5b9ce3c80d40daa3d
Autor:
Hiroshi Matsumoto, Akihito Kawazoe, Kaoru Shimada, Shota Fukuoka, Yasutoshi Kuboki, Hideaki Bando, Takashi Kojima, Atsushi Ohtsu, Takayuki Yoshino, Toshihiko Doi, Kohei Shitara
Publikováno v:
BMC Cancer, Vol 18, Iss 1, Pp 1-7 (2018)
Abstract Background Ramucirumab has recently proved to be effective for advanced or recurrent gastric cancer (AGC). Ascites and peritoneal metastasis are among the most common complications of AGC. However, there are few data on the safety and effica
Externí odkaz:
https://doaj.org/article/9de9f1fbac5642ee8709e43648dad5fa
Publikováno v:
Tobacco Induced Diseases, Vol 11, Iss June (2013)
Background To examine facilitators of dental smoking intervention practices in Japan, where smokeless tobacco is rarely used, we evaluated the characteristics of dental care for smokers. Methods Community dentists volunteered to record the treated d
Externí odkaz:
https://doaj.org/article/37426fe6e8844dfbb313d96fd1b905ea
Publikováno v:
International Journal of Semantic Computing. 16:357-378
In this paper, we propose a method for discovering combinations of attributes (i.e. itemsets) against a background of statistical characteristics without obtaining frequent itemsets. The method considers a database with numerous attributes and can di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcdbd8d4043963e55eb76f7e7e36314f
https://doi.org/10.1142/s1793351x22420028
https://doi.org/10.1142/s1793351x22420028
Autor:
Wen-Yang Gao, Milton Das, Wenqian Xu, Fillipp Edvard Salvador, Gayan Rubasinghege, Ying-Pin Chen, Chen-Hao Wang, Kaoru Shimada, Chris J. Sheehan, Yu-Sheng Chen, Joshua Wright, Vance Miller
Publikováno v:
Inorganic Chemistry. 60:16079-16084
Mechanochemical synthesis is emerging as an environmentally friendly yet efficient approach to preparing metal-organic frameworks (MOFs). Herein, we report our systematic investigation on the mechanochemical syntheses of Group 4 element-based MOFs. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::624b3062a2885a6f30e0e5724bb682aa
https://doi.org/10.1021/acs.inorgchem.1c02704
https://doi.org/10.1021/acs.inorgchem.1c02704
Autor:
Kaoru Shimada-Sammori, Tadanaga Shimada, Rie E. Miura, Rui Kawaguchi, Yasuo Yamao, Taku Oshima, Takehiko Oami, Keisuke Tomita, Koichiro Shinozaki, Taka-aki Nakada
Background: Predicting out-of-hospital cardiac arrest (OHCA) events might contribute to the improvement of OHCA patients’ outcomes. We hypothesized that machine learning algorithms using meteorological and chronological information would predict hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a36d7b5831dc083205512faf8eeafc6
https://doi.org/10.21203/rs.3.rs-1903729/v1
https://doi.org/10.21203/rs.3.rs-1903729/v1
