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Using genetics, molecular evolution methods and mathematical modelling, we analyzed all MOMP sequences reported worldwide, composed by 5026 strains from 33 geographic regions of five continents.
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In Section 2, the model we analyzed is briefly introduced.
In the third model, we analyzed the items by content only.
Using this model we analyzed the data spikes in screen update streams.
To validate the proposed models, we analyzed the heavy oil sand data from Xinjiang Oil Field of China.
As a model we analyzed the human dermal substitute denovoDerm and the dermo-epidermal skin substitute denovoSkin.
Using Hayman's Graphical (Wr – Vr graphs) model we analyzed the gene action for fourteen agronomic traits.
To test the predictions of our dynamic model, we analyzed data from Twitter, an extremely popular social network website used by over 200 million users around the world.
In this study, by implementing MVP model, we analyzed the probability of adoption of multiple agricultural using plot-level observations collected from eastern Ethiopia.
In the fourth model, we analyzed items by combining both content and tier so every combination of content and tier represents its own dimension.
Using the model, we analyzed conditions controlling formation of dilatant crack-like pathways, which were found to depend on a dimensionless parameter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com