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Akademický článek

A machine learning approach to predict in vivo skin growth.

Autor: Nagle, Matt^1,2 (AUTHOR) matt.nagle@ucdconnect.ie, Conroy Broderick, Hannah² (AUTHOR), Buganza Tepole, Adrian³ (AUTHOR), Fop, Michael⁴ (AUTHOR) michael.fop@ucd.ie, Ní Annaidh, Aisling^2,5 (AUTHOR) aisling.niannaidh@ucd.ie

Publikováno v: Scientific Reports. 7/29/2024, Vol. 14 Issue 1, p1-14. 14p.

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Akademický článek

A Gaussian process approach for rapid evaluation of skin tension

Autor: Nagle, Matt, Conroy Broderick, Hannah, Vedel, Christelle, Destrade, Michel, Fop, Michael, Ní Annaidh, Aisling

Publikováno v: In Acta Biomaterialia 1 July 2024 182:54-66

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The Jets of AGN as giant co-axial cables

Autor: Gabuzda, Denise C., Nagle, Matt, Roche, Naomi

The currents carried by the jets of active galactic nuclei (AGNs) can be probed using maps of the Faraday rotation measure (RM), since a jet current will be accompanied by a toroidal magnetic (B) field, which will give rise to a systematic change in

Externí odkaz: http://arxiv.org/abs/1712.08414

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Parsec Scale Faraday-Rotation Structure Across the Jets of 9 Active Galactic Nuclei

Autor: Gabuzda, Denise C., Roche, Naomi, Kirwan, Amy, Knuettel, Sebastian, Nagle, Matt, Houston, Caolan

Publikováno v: MNRAS, 472, 1792 (2017)

A number of groups have recently been active in searching for gradients in the ob- served Faraday rotation measure (RM) across jets of Active Galactic Nuclei (AGNs) on various scales and estimating their reliability. Such RM structures provide direct

Externí odkaz: http://arxiv.org/abs/1709.09062

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