Software package for calculating the dose rate of 137Cs, 238Pu, 239+240Pu, and 241Am isotopes for non-human biota-Reference-Cited by-同舟云学术

Software package for calculating the dose rate of 137Cs, 238Pu, 239+240Pu, and 241Am isotopes for non-human biota

Published:2024-08-15 Issue:7 Volume: Page:77-83
ISSN:2412-9372
Container-title:Science and Innovations
language:
Short-container-title:jour

Author:

Spirau R.,Tsimokhina N.,Nikitin A.

Abstract

The article describes software package for calculating the dose rate of 137Cs, 238Pu, 239+240Pu, and 241Am isotopes for non-human biota. It consists of three applications: a mobile application for describing sites and samples, desktop application for maintaining a database of samples for radiochemical analysis and measuring the activity of radionuclides, and a web application for calculating dose rates and descriptive statistics. An artificial neural network has been developed and trained to classify alpha radiation spectra, demonstrating its potential for assessing the quality of radiochemical analysis in determining the content of plutonium and americium isotopes. The advantages of the developed software include compatibility with devices of popular platforms, ease of use, and the unification of tasks for calculating dose rates for non-human biota.

Publisher

Publishing House Belorusskaya Nauka

Reference14 articles.

1. Zheng M. The impact of digital economy on renewable energy development in China / M. Zheng, Ch. Y. Wong // Innovation and Green Development. 2024. Vol. 3, iss. 1. 100094. DOI: https://doi.org/10.1016/j.igd.2023.100094.

2. Investigating narratives and trends in digital agriculture: A scoping study of social and behavioural science studies / K. McGrath [et al.] // Agricultural Systems. 2023. Vol. 207. 103616. DOI: https://doi.org/10.1016/j.agsy.2023.103616.

3. Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology / A. Javaid [et al.] // American Journal of Preventive Cardiology. 2022. Vol. 12. 100379. DOI: https://doi.org/10.1016/j.ajpc.2022.100379.

4. Habib M. Digital transformation strategy for developing higher education in conflict-affected societies / M. Habib // Social Sciences & Humanities Open. 2023. Vol. 8, iss. 1. 100627. DOI: https://doi.org/10.1016/j.ssaho.2023.100627.

5. Rhodes D.V.L. Creating Custom Digital Assistants for the Scientific Laboratory using the HelixAI Platform / D.V.L. Rhodes, J. G. Rhodes // SLAS Technology. 2022. Vol. 27, iss. 5, P. 284–289. DOI: https://doi.org/10.1016/j.slast.2022.05.002.