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By modeling such events, he and colleagues can compare them to past and future airburst observations in order to learn more about both their progenitor asteroids and the power they bring with them into Earth's atmosphere.
Modeling such events is difficult because of the husbandry/cohabitation of the laboratory models required (i.e., ferrets with birds).
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Scientists now understand the dayside superfountain effect well and can model such events.
Even though earthquake swarms can be dangerous, scientists are able to model such events to analyze their structure.
However, long term complications such as explantation cannot be predicted accurately and longer follow up data is required to model such events.
In modelling such events, the hope would be that clinicians could deliver a pre-emptive strike against what is proving to be a tenacious and fascinating adversary in BCR-ABL.
Prior efforts at risk stratification for candidemia as a cause of nosocomial BSI have been largely unsuccessful due to the lack of a large clinical data set to model such infrequent events.
Our inability to precisely model such a cascade of events using elementary kinetic steps makes indirect response models (IDR) appealing.
Yet others are named by the types of evolutionary events which they model, such as "hybridization networks," "recombination networks," or "duplication-loss-transfer (DLT) networks".
It may also help in identifying statistically independent storm events and improve multivariate statistical models of such events.
New advanced computational models of such events have been proved to facilitate the access to information currently inaccessible to experiments.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com