Zobrazeno 1 - 10
of 42 759
pro vyhledávání: '"Higashi A"'
Autor:
Kato, Junichiro, Ishida, Shigeyuki, Okada, Tatsunori, Nakagawa, Shungo, Mino, Yutaro, Higashi, Yoichi, Kashiwagi, Takanari, Awaji, Satoshi, Iyo, Akira, Ogino, Hiraku, Mawatari, Yasunori, Takeshita, Nao, Yoshida, Yoshiyuki, Eisaki, Hiroshi, Nishio, Taichiro
Publikováno v:
J. Phys. Soc. Jpn. 93, 104705 (2024), OPEN SELECT
We investigated the temperature (T) dependence of the irreversibility field Hirr(T) in high-critical-temperature cuprate Bi2+xSr2-xCa1-yYyCu2O8+d (Bi-2212) single crystals over a wide range of hole doping level (p). Hirr(T) was evaluated by measuring
Externí odkaz:
http://arxiv.org/abs/2409.19887
This paper presents an estimation method for time-varying graph signals among multiple sub-networks. In many sensor networks, signals observed are associated with nodes (i.e., sensors), and edges of the network represent the inter-node connectivity.
Externí odkaz:
http://arxiv.org/abs/2409.10915
Signed graphs are equipped with both positive and negative edge weights, encoding pairwise correlations as well as anti-correlations in data. A balanced signed graph has no cycles of odd number of negative edges. Laplacian of a balanced signed graph
Externí odkaz:
http://arxiv.org/abs/2409.07794
Autor:
Yamauchi, Tomoya, Mori, Yutaka, Higashi, Shuto, Seiichi, Hayato, Hasegawa, Masahiko, Takahashi, Akito, Taniike, Akira, Kanasaki, Masato
The present study aims to detect helium-3 in nickel-based metal nano-composites doped with zirconia, which exhibited anomalous heat generation when exposed to hydrogen gas at approximately 450{\deg}C. Two complementary analytical techniques were empl
Externí odkaz:
http://arxiv.org/abs/2409.05382
Autor:
Higashi, Hiroshi
This paper presents a novel single-channel decomposition approach to facilitate the decomposition of electroencephalography (EEG) signals recorded with limited channels. Our model posits that an EEG signal comprises short, shift-invariant waves, refe
Externí odkaz:
http://arxiv.org/abs/2408.02185
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations
Autor:
Fleurence, Rachael, Bian, Jiang, Wang, Xiaoyan, Xu, Hua, Dawoud, Dalia, Higashi, Mitch, Chhatwal, Jagpreet
This review introduces the transformative potential of generative Artificial Intelligence (AI) and foundation models, including large language models (LLMs), for health technology assessment (HTA). We explore their applications in four critical areas
Externí odkaz:
http://arxiv.org/abs/2407.11054
Autor:
Nakamura, Yuma, Kusano, Toshi, Yokoyama, Rei, Saito, Keito, Higashi, Koichiro, Ozawa, Naoya, Takano, Tetsushi, Takasu, Yosuke, Takahashi, Yoshiro
While data qubits with a long coherence time are essential for the storage of quantum information, ancilla qubits are pivotal in quantum error correction (QEC) for fault-tolerant quantum computing. The recent development of optical tweezer arrays, su
Externí odkaz:
http://arxiv.org/abs/2406.12247
Autor:
Ikeno, Natsumi, Higashi, Yuko, Fujioka, Hiroyuki, Itahashi, Kenta, Sekiya, Ryohei, Tanaka, Yoshiki K., Yamagata-Sekihara, Junko, Metag, Volker, Nanova, Mariana, Hirenzaki, Satoru
We study theoretically the feasibility of the semi-exclusive $^{12}$C($p,dp$)$X$ reaction for the observation of $\eta^\prime$ mesic nuclei using the transport model JAM. The semi-exclusive measurements of the ($p,d$) reaction with protons from $\eta
Externí odkaz:
http://arxiv.org/abs/2406.06058
This paper introduces the physics-inspired synthesized underwater image dataset (PHISWID), a dataset tailored for enhancing underwater image processing through physics-inspired image synthesis. Deep learning approaches to underwater image enhancement
Externí odkaz:
http://arxiv.org/abs/2404.03998
Autor:
Higashi, Kohei
We consider an integro-differential equation model for traffic flow which is an extension of the Burgers equation model. To discuss the model, we first examine general settings for integrable integro-differential equations and find that they are obta
Externí odkaz:
http://arxiv.org/abs/2402.13128