Predicting Geostationary 40–150 keV Electron Flux Using ARMAX (an Autoregressive Moving Average Transfer Function), RNN (a Recurrent Neural Network), and Logistic Regression: A Comparison of Models
Sign Up to like & getrecommendations! Published in 2023 at "Space Weather"
DOI: 10.1029/2022sw003263
Abstract: We screen several algorithms for their ability to produce good predictive models of hourly 40–150 keV electron flux at geostationary orbit (data from GOES‐13) using solar wind, Interplanetary Magnetic Field, and geomagnetic index parameters that… read more here.
Keywords: neural network; regression; logistic regression; kev electron ... See more keywords
Evaluation of the radioprotective ability of cystamine for 150 keV – 500 MeV proton irradiation: a Monte Carlo track chemistry simulation study
Sign Up to like & getrecommendations! Published in 2019 at "Canadian Journal of Chemistry"
DOI: 10.1139/cjc-2018-0382
Abstract: Cystamine, an organic diamino-disulfide, is among the best of the known radiation-protective compounds, although the underlying molecular mechanisms by which it operates remain poorly understood. This study aims to use the aqueous ferrous sulfate (Fricke)… read more here.
Keywords: cystamine; kev 500; monte carlo; 150 kev ... See more keywords