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Third, commercially propagated sources, with potentially altered genetic structure, could outcross with nearby natural (remnant) populations to result in outbreeding depression and compromise fitness of local populations (Montalvo and Ellstrand 2001; Hufford and Mazer 2003).
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The Bayesian approach naturally propagates sources of uncertainty into posterior probability distributions, and as such we can make statements about which solutions are more likely than others, allowing us to use these estimates in down-stream statistical models such as relating proportion of a particular source to another measured parameter of interest such as fitness.
Overall, for both mono-modal and multimodal data we noticed better performance of cMEM than MNE, dSPM and sLORETA in detecting the spatially extended and propagating sources.
Therefore, in the present study, simulations of two spatially extended propagating sources, with overlapping time courses, were used to assess the performance of MEEG localization using cMEM.
We observed that for all the modalities cMEM performed better than MNE in detecting the spatial extent of the propagating sources (higher AUC median values for both the sources when using cMEM).
Sankararaman and Goebel [70] and Sankararaman et al. [71] proposed analytical methods such as the most probable point concept and first-order reliability methods to propagate different sources of uncertainty to RUL estimation.
On the physical layer, sound waves propagate from sources along different paths to the ears and then in the ear canals and finally to the cochlea, absorbed and reflected by walls, floors, torso, head, and other objects on the way.
Our current understanding of size-dependent strength in nano- and microscale crystals is centered around the idea that the overall strength is determined by the stress required to propagate dislocation sources.
Second assessing the long term probability of a future eruption is not trivial and should be achieved using a rigorous probabilistic framework in order to quantify and propagate various sources of uncertainties on final estimates (Bear-Crozier et al. 2016; Connor et al. 2003; Jenkins et al. 2012; Marzocchi and Bebbington 2012; Sandri et al. 2016; Sheldrake 2014; Thompson et al. 2015).
We interpret this non-thermal propagating source is emitted from streaming electrons.
That the strain record is characterized by a change in sign during the course of the event is indicative of a propagating source.
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