Data Shepherding in Nanotechnology. The Exposure Field Campaign Template

Autor: Irini Furxhi, Antti Joonas Koivisto, Finbarr Murphy, Sara Trabucco, Benedetta Del Secco, Athanasios Arvanitis

Publikováno v: Nanomaterials, Vol 11, Iss 7, p 1818 (2021)

In this paper, we demonstrate the realization process of a pragmatic approach on developing a template for capturing field monitoring data in nanomanufacturing processes. The template serves the fundamental principles which make data scientifically F

Externí odkaz: https://doaj.org/article/aae4df70489840f08e4059feb0284638

Practices and Trends of Machine Learning Application in Nanotoxicology

Autor: Irini Furxhi, Finbarr Murphy, Martin Mullins, Athanasios Arvanitis, Craig A. Poland

Publikováno v: Nanomaterials, Vol 10, Iss 1, p 116 (2020)

Machine Learning (ML) techniques have been applied in the field of nanotoxicology with very encouraging results. Adverse effects of nanoforms are affected by multiple features described by theoretical descriptors, nano-specific measured properties, a

Externí odkaz: https://doaj.org/article/7e2049f29ea045cda873378006f655b1

Air Quality Sensors Systems as Tools to Support Guidance in Athletics Stadia for Elite and Recreational Athletes

Autor: Mar Viana, Kostas Karatzas, Athanasios Arvanitis, Cristina Reche, Miguel Escribano, Edurne Ibarrola-Ulzurrun, Paolo Emilio Adami, Fréderic Garrandes, Stéphane Bermon

Publikováno v: International Journal of Environmental Research and Public Health; Volume 19; Issue 6; Pages: 3561
Digital.CSIC. Repositorio Institucional del CSIC
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While athletes have high exposures to air pollutants due to their increased breathing rates, sport governing bodies have little guidance to support events scheduling or protect stadium users. A key limitation for this is the lack of hyper-local, high

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc6f12fde1494cdd99aad11de1a5e4f7

Data Shepherding in Nanotechnology. The Initiation

Autor: Finbarr Murphy, Magda Blosi, Athanasios Arvanitis, Anna Luisa Costa, Irini Furxhi

Publikováno v: Nanomaterials, Vol 11, Iss 1520, p 1520 (2021)
Nanomaterials
Volume 11
Issue 6

In this paper we describe the pragmatic approach of initiating, designing and implementing the Data Management Plan (DMP) and the data FAIRification process in the multidisciplinary Horizon 2020 nanotechnology project, Anticipating Safety Issues at t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92fd0a670ceeace17a3d245ff3db8106
https://www.mdpi.com/2079-4991/11/6/1520

Practices and Trends of Machine Learning Application in Nanotoxicology

Autor: Martin Mullins, Craig A. Poland, Finbarr Murphy, Athanasios Arvanitis, Irini Furxhi

Publikováno v: Nanomaterials
Nanomaterials, Vol 10, Iss 1, p 116 (2020)

Machine Learning (ML) techniques have been applied in the field of nanotoxicology with very encouraging results. Adverse effects of nanoforms are affected by multiple features described by theoretical descriptors, nano-specific measured properties, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4dcf268056d07ad11ee8273fdb4fed2