Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Kimito Funatsu"'
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 106-118 (2022)
Here, we propose an interaction analysis method, which quantitatively evaluates the interactions among constituent materials in composites that consist of matrix (e.g. resin), fillers, and additives (e.g. fiber-reinforced plastics). Using this method
Externí odkaz:
https://doaj.org/article/e3bb7c22a9c3459c858a2c308b2227ea
Publikováno v:
ACS Omega, Vol 6, Iss 18, Pp 11964-11973 (2021)
Externí odkaz:
https://doaj.org/article/a8a572995885423ba2e8c39f4cdc9e67
Publikováno v:
Journal of Cheminformatics, Vol 12, Iss 1, Pp 1-16 (2020)
Abstract Ensemble learning helps improve machine learning results by combining several models and allows the production of better predictive performance compared to a single model. It also benefits and accelerates the researches in quantitative struc
Externí odkaz:
https://doaj.org/article/256e2e680e1a46a0b257a7a099f0c9cc
Autor:
Yusuke Kamiya, Hiroka Takaku, Rio Yamada, Chisato Akase, Yuto Abe, Yuko Sekiguchi, Norie Murayama, Makiko Shimizu, Masato Kitajima, Fumiaki Shono, Kimito Funatsu, Hiroshi Yamazaki
Publikováno v:
Toxicology Reports, Vol 7, Iss , Pp 149-154 (2020)
Apparent permeability coefficients (Papp) across a human intestinal epithelial Caco-2 cell monolayer were measured for a range of industrial/drug chemicals. A predictive equation for determining in vitro Papp values of fifty-six substances was set up
Externí odkaz:
https://doaj.org/article/9557e1483da744628f3cc82b26068693
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-19 (2019)
Abstract Background Natural products are the source of various functional materials such as medicines, and understanding their biosynthetic pathways can provide information that is helpful for their effective production through the synthetic biology
Externí odkaz:
https://doaj.org/article/d9511dd7649549d6acc44502b5653615
Publikováno v:
Molecules, Vol 26, Iss 16, p 4916 (2021)
Activity cliffs (ACs) are formed by two structurally similar compounds with a large difference in potency. Accurate AC prediction is expected to help researchers’ decisions in the early stages of drug discovery. Previously, predictive models based
Externí odkaz:
https://doaj.org/article/943ae4e42fa841bdb9ed8c31edfa3fd2
Publikováno v:
F1000Research, Vol 6 (2017)
Inverse quantitative structure-activity relationship (QSAR) modeling encompasses the generation of compound structures from values of descriptors corresponding to high activity predicted with a given QSAR model. Structure generation proceeds from des
Externí odkaz:
https://doaj.org/article/98354832680b470099f834ea7cb4091a
Publikováno v:
F1000Research, Vol 6 (2017)
Inverse quantitative structure-activity relationship (QSAR) modeling encompasses the generation of compound structures from values of descriptors corresponding to high activity predicted with a given QSAR model. Structure generation proceeds from des
Externí odkaz:
https://doaj.org/article/f36712b64b92492b8b0ca75ccaa78cb8
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 34, Iss 5, Pp 569-575 (2012)
Distillation is one of the dominating separation processes, but there are some problems as inseparable mixtures areformed in some cases. This phenomenon is called as azeotropy. It is essential to understand azeotropy in any distillationprocesses sinc
Externí odkaz:
https://doaj.org/article/47582741953a43419d77692124c64380
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 34, Iss 2, Pp 217-221 (2012)
Soft sensors are widely used to realize highly efficient operation in chemical process because every important variablesuch as product quality is not measured online. By using soft sensors, such a difficult-to-measure variable y can be estimatedby ot
Externí odkaz:
https://doaj.org/article/66a0181b116f4d8c877644730ad9cd95