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In his academic work, he is trying to predict the growth pattern of invasive species.
Using computer software to predict the growth patterns in forests over time, Dr. Dybzinski and his colleagues are now reporting that the overabundant roots act as weapons to prevent other trees from growing.
The company's clients then use this data to predict the growth of crops, for example.
This work develops a simply derived graphene growth model to predict the growth time with various hydrogen flow rates.
Models are developed to predict the growth of long fatigue cracks in stiffened panels.
The 3D reconstruction models were then used to calculate crack volume and predict the growth tendency of cracks.
The South American giant is currently enjoying a boom because of high food and oil prices and many economists predict the growth will last for years to come.
An incremental model was developed so as to predict the growth of fatigue cracks under complex load spectra.
In predictive microbiology, the aim is to predict microbiological development in meat products and in particular to predict the growth of pathogens.
Despite the growth failure of some isolates at marginal conditions, all the studied models showed good performance to predict the growth rates.
It was also possible to use the Pseudomonas models to predict the growth of the natural flora (mainly Pseudomonas spp). of refrigerated meat stored under aerobic conditions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com