Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

“…Applying optimised random forest models to classify human sequences of MERS-CoV and SARS-CoV revealed evolutionary signatures consistent with their recognised intermediate hosts (camelids, carnivores), while human sequences of SARS-CoV-2 were predicted as having bat hosts (suborder Yinpterochiroptera), supporting bats as the suspected origins of the current pandemic. …”
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On optimum multi‐input multi‐output radar signal design: Ambiguity function, manifold structure and duration‐bandwidth by Yuqing Liu, Jia Xu, Kon Max Wong, Timothy N. Davidson

“…Comparing the designs using ED and RD, we find that the convergence of the algorithm can be significantly faster when optimising over the manifold (RD) than when optimising over the whole space (ED). …”
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