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We do this from (a) a conceptual and theoretical perspective so that you truly understand the methods we discuss, and ultimately (b) so that you feel appropriately and completely comfortable using these methods in your own work.
The computational methods we discuss range from de novo methods, which identify structural elements in an EM map, to structure fitting methods, where known high resolution structures are fit into a low-resolution EM map.
The minimum requirements for constructing a physically based landslide-hazard map from a landslide-triggering storm, using the simple methods we discuss, are: (1) an accurate mapped landslide inventory, (2) a slope map derived from a digital elevation model (DEM) or topographic map, and (3) material strength properties of the slopes involved.
After presenting the models and methods, we discuss empirical evidence on the performance of the methods.
These challenges can be addressed using the methods we discuss in this section.
Column 1 lists the cases, while columns 2a and 2b summarize uncertainty and controversy status based on the interviews in Stage 1. Columns 3a and 3b summarize the evaluation methods (we discuss the evaluation method labels in column 3b when we describe Stage 2 below).
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Using some of the same methods we discussed a few months ago, you can watch your favorite sport—I'll be watching football (soccer) from the many watering holes in and around Barcelona as it happens, in real time.
All the other methods we discussed can only discover nonpseudo-knotted motifs.
And as opposed to the other methods we discussed, one cannot assign a stand-alone value to a country.
Most of the alignment based methods we discussed discover motifs based on both sequence and structure similarity.
Most methods we discussed here searched for motifs whose occurrences were contiguous subsequences of the input sequences.
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CEO of Professional Science Editing for Scientists @ prosciediting.com