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To model these events within our spectral estimation, a noise spectrum is included in every tone object.
An important stage in this process is the identification of the dominant micromechanical events and the development of constitutive relationships which accurately model these events.
In our model these events are independent.
In our model, these events are represented in terms of more elemental gain and loss events.
A hierarchical linear modeling approach, using the Poisson model with equal exposure and a logarithmic link function, was used to model these events.
Some methods take as input gene trees allowing duplications and losses (Lajoie et al., 2010; Muffato et al., 2010) but do not model these events and treat them as noise that is removed for the construction of chromosomes by traveling salesman-like optimization methods.
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It is reasonable to assume that the first occurrences of an outcome among different individuals are independent, which is an important assumption in modelling these events.
Thus, the Poisson model with equal exposure was considered a reasonable model for these events.
The distance is then determined by matching the differential travel time with a theoretical travel time table derived from the 1D velocity model, assuming these events are located at a depth around 13 km, which is the depth of the mainshock hypocenter (Fig. 2a).
A proposed model of these events is shown in Fig. 6E.
Testicular germ cell tumours (TGCT) are thought to originate from fetal germ cells that fail to differentiate normally, but no animal model for these events has been described.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com