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One of the most important factors when predicting strong ground motions is the characterization of source models for future earthquakes.
In the Philippines, recent efforts in tsunami studies involve characterization of source faults through validation of historical and modern tsunami observations [e.g., (Bautista et al. 2012; Salcedo 2014)].
The next three papers show a beautiful evolution of thought, culminating with a nice characterization of source and sink sets, and also a characterization of even and odd pairs in a comparability graph.
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Early insights have included a fuller characterization of sources of microbes within buildings, important processes that structure the distributions and abundances of microbes, and a greater appreciation of the role that occupants can have on indoor microbiology.
Today the existence of sequences of entire genomes and the ability to compare related sequences allows identification and characterization of sources of genetic variation.
It is worth noting that dust sampling for environmental chemicals can have several purposes, including exposure assessment and characterization of sources.
That one variable could describe some of the largest wind direction effects (i.e., downwind of Logan airport and downtown Boston) suggests that model transferability was hindered by incomplete characterization of sources outside of the neighborhoods.
The principal topics addressed are probabilistic characterizations of source, path, and site effects, with the discussion of these effects focusing principally on applications in active regions such as California.
Improved characterization of stationary source emissions is required for reliable PM2.5 source apportionment.
Characterization of this source has been carried out by measuring source parameters such as uniformity in the activity distribution and beam uniformity.
[69] Generalized linear model Based on an identified generalized linear model, some significant variables having contributions to the mode dynamics may be related to the source Can find the state variables related to the source No source location is clearly indicated [70, 71]. 1) Definition and characterization of the source.
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CEO of Professional Science Editing for Scientists @ prosciediting.com