Zobrazeno 1 - 10
of 12 342
pro vyhledávání: '"Kitaoka A"'
Autor:
Kundu, Anish, Barbareschi, Giulia, Kawaguchi, Midori, Yano, Yuichiro, Ohashi, Mizuki, Kitaoka, Kaori, Seike, Aya, Minamizawa, Kouta
In this paper we explore the potential of utilizing Virtual Reality (VR) as a therapeutic tool for supporting individuals in the LGBTQ+ community, who often face elevated risks of mental health issues. Specifically, we investigated the effectiveness
Externí odkaz:
http://arxiv.org/abs/2409.00383
Autor:
Kitaoka, Akira
This paper tackles the problem of minimizing the prediction loss of the optimal solution (PLS) of the MILP with given data, which is one of the inverse optimization problems. While existing methods can approximately solve this problem, their implemen
Externí odkaz:
http://arxiv.org/abs/2405.14273
Autor:
Sou Kawata, Soju Seki, Akira Nishiura, Yoshihiro Kitaoka, Kanako Iwamori, So-ichiro Fukada, Mikihiko Kogo, Susumu Tanaka
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Amyotrophic lateral sclerosis (ALS) progressively impairs motor neurons, leading to muscle weakness and loss of voluntary muscle control. This study compared the effects of SOD1 mutation on masticatory and limb muscles from disease onset to
Externí odkaz:
https://doaj.org/article/15bc8cc7b58c4a76989606822dc24e8a
Autor:
Yuichi Baba, Yuri Ochi, Juri Kawaguchi, Azumi Takiishi, Daigo Hirakawa, Toru Kubo, Naohito Yamasaki, Hiroaki Kitaoka
Publikováno v:
Cardiovascular Ultrasound, Vol 22, Iss 1, Pp 1-6 (2024)
Abstract Background Echocardiography remains the reference-standard imaging technique for assessing valvular heart disease (VHD), but artifacts like the ‘color Doppler stripe’ can complicate diagnosis. This artifact is not widely recognized and c
Externí odkaz:
https://doaj.org/article/b5f3f93e145547279d8dc58a9359a2ea
Autor:
Satomi Minato-Inokawa, Ayaka Tsuboi-Kaji, Mari Honda, Mika Takeuchi, Kaori Kitaoka, Miki Kurata, Bin Wu, Tsutomu Kazumi, Keisuke Fukuo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The present study investigated the associations of serum gamma-glutamyl transferase (GGT), a marker of fatty liver and oxidative stress, and ALT/AST, a marker of fatty liver, with percentage trunk fat and postload glucose, insulin resistance
Externí odkaz:
https://doaj.org/article/e1770139da1e434aaa6fad11e8e35231
Autor:
Kenya Takahashi, Kazutaka Mukai, Yusaku Ebisuda, Fumi Sugiyama, Toshinobu Yoshida, Hideo Hatta, Yu Kitaoka
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Evidence suggests that positive pacing strategy improves exercise performance and fatigue tolerance in athletic events lasting 1–5 min. This study investigated muscle metabolic responses to positive and negative pacing strategies in Thorou
Externí odkaz:
https://doaj.org/article/24b492ab03734e88b064555ea0f65696
Autor:
Satomi Minato-Inokawa, Mari Honda, Ayaka Tsuboi-Kaji, Mika Takeuchi, Kaori Kitaoka, Miki Kurata, Bin Wu, Tsutomu Kazumi, Keisuke Fukuo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract The relationship of adipose tissue insulin resistance (AT-IR, a product of fasting insulin and free fatty acids) and homeostasis-model assessment-insulin resistance (HOMA-IR) to β-cell function was studied cross-sectionally in the setting o
Externí odkaz:
https://doaj.org/article/bf5db172db8a4c4ca671437364e00b00
Autor:
Tomoyuki Hamada, Toru Kubo, Kazuya Kawai, Yoko Nakaoka, Toshikazu Yabe, Takashi Furuno, Eisuke Yamada, Hiroaki Kitaoka, Kochi YOSACOI study
Publikováno v:
ESC Heart Failure, Vol 11, Iss 4, Pp 2076-2085 (2024)
Abstract Aims This study aimed to evaluate the impact of frailty and living function domains based on the Kihon Checklist (KCL), a questionnaire for a comprehensive frailty assessment, on prognosis in patients with acute heart failure (AHF). Methods
Externí odkaz:
https://doaj.org/article/4c193c889b2640d8879ab4b0a0722a9e
Autor:
Kitaoka, Akira, Eto, Riki
We prove Wasserstein inverse reinforcement learning enables the learner's reward values to imitate the expert's reward values in a finite iteration for multi-objective optimizations. Moreover, we prove Wasserstein inverse reinforcement learning enabl
Externí odkaz:
http://arxiv.org/abs/2305.10089
Autor:
Kitaoka, Akira, Eto, Riki
We show the convergence of Wasserstein inverse reinforcement learning for multi-objective optimizations with the projective subgradient method by formulating an inverse problem of the multi-objective optimization problem. In addition, we prove conver
Externí odkaz:
http://arxiv.org/abs/2305.06137