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Resistance modelling allowed us to identify likely dispersal corridors used by these two rabies hosts, which may prove especially helpful for surveillance and control (e.g. oral vaccination) activities.
Good correlation was found between numerical expectations and experimental measurements, and the modelling allowed us to highlight typical phenomena linked to the use of an elasto-plastic adhesive.
Inverse modelling allowed us to reach an accurate description of the paths and mechanisms for the evolution of seawater intrusion.
Slackwater deposits, archaeological age dating and hydraulic modelling allowed us to reconstruct some of the oldest extreme floods reported in Spain.
Dynamic causal modelling allowed us to quantify empirical changes in spectral activity in terms of a trajectory in parameter space — identifying key synaptic parameters or connections that cause observed signals.
The hydrological modelling allowed us to simulate the evolution of the wáter level under a scenario of unaltered conditions during a 13-year period, showing that the percentage of days with dry conditions varies from 24.8% of the time under altered conditions to 14.9% as far as an unaltered scenario is concerned.
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ML modelling allows us to model individual responses while allowing for differences between the PCTs to also be modelled.
This modelling allows us to visualise the average patient and individual patients.
However, using GEE models allowed us to analyze data from all 143 subject visits, and we identified several significant associations.
The use of similarity-based models allowed us to obtain better positive predictive values in some sets.
This coarse−grained model allowed us to simulate 10 transitions of a calcein molecule with reasonable use of CPU time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com