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By modifying the data flow and decoding hierarchy, simulating the data transfer between the on-chip memory and the off-chip memory, and modularizing the buffer definition and management for low-level decoding kernels, the MB-based system architecture provides over 80% reduction in on-chip memory compared to the frame-based architecture when decoding 720p sequences.
Table S2 is a summary of the model parameter values that are chosen for simulating the data.
Fitted subunits depicted as in Figures 3, 6, 7. The recovered parameters in all cases were found to be similar to the parameters used in simulating the data.
In the ODE case, we conclude that all the structural parameters are biased and differ significantly from the true parameter values used for simulating the data.
See Table 2 for exact Stampy command line parameters for simulating the data.> For Stampy simulated reads the true alignment is given in a CIGAR string format [ 24].
By simulating the data in this way, we knew that there was at least one linear combination of the five features in the data that would result in a composite trait (i.e., y1) with h2 of 0.8.
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It simulates the data collected by the vehicle's sensors when encountering other vehicles and a variety of road conditions.
We simulated the data of a neuron following the Morris-Lecar model.
Once the data is simulated, the data can be treated as uncensored and standard distributional fitting method can be used.
We used two null models to simulate the data.
TS simulated the data sets.
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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