Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Shinichi Nakajima"'
Autor:
Yoshimi Muta, Kazuo Kobayashi, Masao Toyoda, Atsuhito Tone, Daisuke Suzuki, Daisuke Tsuriya, Hideo Machimura, Hidetoshi Shimura, Hiroshi Takeda, Hisashi Yokomizo, Kei Takeshita, Keiichi Chin, Keizo Kanasaki, Kouichi Tamura, Masaaki Miyauchi, Masuo Saburi, Miwa Morita, Miwako Yomota, Moritsugu Kimura, Nobuo Hatori, Shinichi Nakajima, Shun Ito, Shunichiro Tsukamoto, Takashi Murata, Takaya Matsushita, Takayuki Furuki, Takuya Hashimoto, Tomoya Umezono, Yuichi Takashi, Daiji Kawanami
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Accumulating evidence has demonstrated that both SGLT2 inhibitors (SGLT2i) and GLP-1 receptor agonists (GLP1Ra) have protective effects in patients with diabetic kidney disease. Combination therapy with SGLT2i and GLP1Ra is commonly used in patients
Externí odkaz:
https://doaj.org/article/e387d4d5ba7242e08853f9abf1debf8d
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11, Pp 320-335 (2023)
AbstractComplementary to finding good general word embeddings, an important question for representation learning is to find dynamic word embeddings, for example, across time or domain. Current methods do not offer a way to use or predict information
Externí odkaz:
https://doaj.org/article/1c053c080fa943c5ac0cf5cfaf1d67e5
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2628 (2023)
Considering the worst-case scenario, the junction-tree algorithm remains the most general solution for exact MAP inference with polynomial run-time guarantees. Unfortunately, its main tractability assumption requires the treewidth of a corresponding
Externí odkaz:
https://doaj.org/article/4a63eb90028d40f09d12d1c7d0c4f2ad
Autor:
Yoriko Horiguchi, Kaoru Uemura, Naoyoshi Aoyama, Shinichi Nakajima, Tomoki Asai, Sachiko Motohashi, Manae Harada, Maoko Ida, Atsushi Yoshida
Publikováno v:
Renal Replacement Therapy, Vol 7, Iss 1, Pp 1-8 (2021)
Abstract Background Whether progressive mild to moderate aortic stenosis in hemodialysis patients influences their prognosis has not been elucidated. This prospective cohort study explored whether progressive aortic stenosis predicted the rate of car
Externí odkaz:
https://doaj.org/article/9210023967e447559c5b5eeac3bc9303
Autor:
Kazuo Kobayashi, Masao Toyoda, Moritsugu Kimura, Nobuo Hatori, Takayuki Furuki, Hiroyuki Sakai, Masahiro Takihata, Tomoya Umezono, Shun Ito, Daisuke Suzuki, Hiroshi Takeda, Akira Kanamori, Hisakazu Degawa, Hareaki Yamamoto, Hideo Machimura, Atsuko Mokubo, Keiichi Chin, Mitsuo Obana, Toshimasa Hishiki, Kouta Aoyama, Shinichi Nakajima, Shinichi Umezawa, Hidetoshi Shimura, Togo Aoyama, Kazuyoshi Sato, Masaaki Miyakawa
Publikováno v:
Clinical and Experimental Hypertension, Vol 41, Iss 7, Pp 637-644 (2019)
Decrease in blood pressure contributes to the reno-protective effects of sodium-glucose cotransporter 2 inhibitors; however, its relationship with home monitoring of blood pressure is unclear. We retrospectively analyzed 101 visiting members of the K
Externí odkaz:
https://doaj.org/article/b1b31d2ac3f746d1be93392f3402d38a
Autor:
Kazuo Kobayashi, Masao Toyoda, Noriko Kaneyama, Nobuo Hatori, Takayuki Furuki, Hiroyuki Sakai, Masahiro Takihata, Tomoya Umezono, Shun Ito, Daisuke Suzuki, Hiroshi Takeda, Akira Kanamori, Hisakazu Degawa, Hareaki Yamamoto, Hideo Machimura, Atsuko Mokubo, Keiichi Chin, Mitsuo Obana, Toshimasa Hishiki, Kouta Aoyama, Shinichi Nakajima, Shinichi Umezawa, Hidetoshi Shimura, Togo Aoyama, Masaaki Miyakawa
Publikováno v:
Journal of Diabetes Research, Vol 2019 (2019)
Aim. The renoprotective effect of sodium-glucose cotransporter 2 inhibitors is thought to be due, at least in part, to a decrease in blood pressure. The aim of this study was to determine the renal effects of these inhibitors in low blood pressure pa
Externí odkaz:
https://doaj.org/article/1fa7d3057ac64d3b92a640d8898447ba
Autor:
Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
Publikováno v:
PLoS ONE, Vol 7, Iss 8, p e38897 (2012)
Combining information from various image features has become a standard technique in concept recognition tasks. However, the optimal way of fusing the resulting kernel functions is usually unknown in practical applications. Multiple kernel learning (
Externí odkaz:
https://doaj.org/article/e4e0926bbc194cc69d387da9a701674b
Autor:
Kristof T. Schütt, Jonas Lederer, Oliver Eberle, Shinichi Nakajima, Klaus-Robert Mueller, Grégoire Montavon, Thomas Schnake
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:7581-7596
Graph Neural Networks (GNNs) are a popular approach for predicting graph structured data. As GNNs tightly entangle the input graph into the neural network structure, common explainable AI approaches are not applicable. To a large extent, GNNs have re
Publikováno v:
Mathematics; Volume 11; Issue 12; Pages: 2628
Considering the worst-case scenario, the junction-tree algorithm remains the most general solution for exact MAP inference with polynomial run-time guarantees. Unfortunately, its main tractability assumption requires the treewidth of a corresponding
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
Domain translation is the task of finding correspondence between two domains. Several deep neural network (DNN) models, e.g., CycleGAN and cross-lingual language models, have shown remarkable successes on this task under the unsupervised setting--the