Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hiroki Arihara"'
Autor:
Yuki Asai, Hiroki Arihara, Saki Omote, Ena Tanio, Saena Yamashita, Takashi Higuchi, Ei Hashimoto, Momoko Yamada, Hinako Tsuji, Yoshihiro Kondo, Makoto Hayashi, Yoshiaki Yamamoto
Publikováno v:
Journal of Pharmaceutical Health Care and Sciences, Vol 9, Iss 1, Pp 1-8 (2023)
Abstract Background Polypharmacy, defined as the concurrent use of over six drugs, is common in the treatment of heart failure (HF); however, unpredictable drug interactions with bepridil may occur. In this study, we have elucidated the influence of
Externí odkaz:
https://doaj.org/article/8e3faa6f94db45fcbd442b0f63b17647
Autor:
Yuki Asai, Takumi Tashiro, Yoshihiro Kondo, Makoto Hayashi, Hiroki Arihara, Saki Omote, Ena Tanio, Saena Yamashita, Takashi Higuchi, Ei Hashimoto, Momoko Yamada, Hinako Tsuji, Yuji Hayakawa, Ryohei Suzuki, Hiroya Muro, Yoshiaki Yamamoto
Publikováno v:
Biological and Pharmaceutical Bulletin. 46:614-620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ee5b70ea738eb92b06c990bc527778
https://doi.org/10.1248/bpb.b22-00823
https://doi.org/10.1248/bpb.b22-00823
Publikováno v:
Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 46:561-566
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a868dd25379cc4b5ea67c92feb56122e
https://doi.org/10.5649/jjphcs.46.561
https://doi.org/10.5649/jjphcs.46.561
Publikováno v:
Physical Therapy Research. 22:9-16
Objective To develop a clinical prediction rule (CPR) that predicts treatment responses to mechanical lumbar traction (MLT) among patients with lumbar disc herniation (LDH). Method This study was an uncontrolled prospective cohort study. The subjects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b48ee76b3d6a9fdf7ada445c4615a0c6
https://doi.org/10.1298/ptr.e9973
https://doi.org/10.1298/ptr.e9973
Autor:
Tsuyoshi Murata, Hiroki Arihara
Publikováno v:
Complex Networks XI ISBN: 9783030409425
Network embedding is a method for learning representation of nodes in given networks as low-dimensional vectors which preserves the proximity in the networks. Most of the research on network embedding are for simple networks without edge signs. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53bb3e3e46465bdf88dc149eabd6dc91
https://doi.org/10.1007/978-3-030-40943-2_6
https://doi.org/10.1007/978-3-030-40943-2_6
