Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Junya Ino"'
Autor:
Isidro III Butaslac, Alessandro Luchetti, Junya Ino, Yuichiro Fujimoto, Taishi Sawabe, Masayuki Kanbara, Hirokazu Kato, Keisuke Uemura, Yoshito Otake, Yoshinobu Sato, Masaki Takao, Nobuhiko Sugano
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
Publikováno v:
OECD Papers on Well-being and Inequalities.
This paper explores the conceptual framing and measurement of transboundary impacts in the context of the 2030 Agenda. It starts by defining transboundary impacts and reviewing different measurement approaches used so far. It then proposes a typology
Publikováno v:
Journal of Materials Research and Technology, Vol 29, Iss , Pp 353-363 (2024)
The present work provides a systematical investigation on the hot deformation behavior of Fe2Ni2CrAl1.2 multi-principle element alloys (MPEAs). Hot compression tests were carried out at various temperatures ranging from 800 °C to 1100 °C at differe
Externí odkaz:
https://doaj.org/article/a7884b31f2d143b5beefb8ed4e19f0c8
Publikováno v:
OECD Health Working Papers.
Assessing the direct and indirect health impact of the COVID 19 pandemic is central in managing public health and other policy measures while learning to co-exist with the virus. Many countries are publishing statistics on COVID 19 related mortality.
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Both the environment and our body keep changing dynamically. Hence, ensuring movement precision requires adaptation to multiple demands occurring simultaneously. Here we show that the cerebellum performs the necessary multi-dimensional compu
Externí odkaz:
https://doaj.org/article/da9f32ce58804615bce4946703f744b8
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract In materials science, machine learning has been intensively researched and used in various applications. However, it is still far from achieving intelligence comparable to that of human experts in terms of creativity and explainability. In t
Externí odkaz:
https://doaj.org/article/d50c46d2cf984b89b22d5114224bc1f8
Autor:
Junya Sakurai, Masahiko Demura, Yoh-ichi Mototake, Masato Okada, Masayoshi Yamazaki, Junya Inoue
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 1, Iss 1, Pp 98-108 (2021)
The alloying elements that control the creep rupture life of low carbon steel in the region of inherent creep strength were investigated by a data-driven model selection method. The experimental data published in NRIM Creep Data Sheet No. 7B was used
Externí odkaz:
https://doaj.org/article/e57edbedbab84ee797bfb4104421a7b4
Publikováno v:
PLoS Biology, Vol 19, Iss 9, p e3001400 (2021)
Purkinje cell (PC) discharge, the only output of cerebellar cortex, involves 2 types of action potentials, high-frequency simple spikes (SSs) and low-frequency complex spikes (CSs). While there is consensus that SSs convey information needed to optim
Externí odkaz:
https://doaj.org/article/f0041c9dc35f4c8aba57fe9cc6a5318f
Publikováno v:
Science and Technology of Advanced Materials, Vol 18, Iss 1, Pp 857-868 (2017)
We propose a method to predict grain growth based on data assimilation by using a four-dimensional variational method (4DVar). When implemented on a multi-phase-field model, the proposed method allows us to calculate the predicted grain structures an
Externí odkaz:
https://doaj.org/article/cb76667216af47059485ab40329e4237
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/9f15336e6eeb4524bea2515c727f4f05