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This assumption seems to be reasonable when the number of the excluded sequences is small.
Such an assumption can be reasonable when the dimension of the biomarkers collected in each sample is large but may not be satisfied in lower dimension biomedical data.
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The reasons are: (i) A normal approximation to the Poisson random variable is reasonable when the mean number of radiograph counts is large, as in this study; (ii) Gaussian time series models are easier to fit, diagnose, and interpret; (iii) The theory for filter-based methods commonly used for detecting the outbreak signature in such data is well developed for Gaussian processes.
We compare the drag force with the Brinkman force evaluated using the composite sphere hydrodynamic radius, showing that this convenient approximation is reasonable when the Brinkman screening length of the embedding porous medium is large compared to the core radius; otherwise, the Brinkman force can significantly underestimate the force.
It is reasonable when the SUs are in the coverage of one primary link.
Survival rates in recent reports range from 15%to36%6%, which is reasonable when the overall post-transplant survival rate for non-ICU patients may be only 50%.
This is reasonable when the relays are allowed to schedule users[10], as in IEEE 802.16j[11], IEEE 802.16m[12], and 3GPP LTE/LTE-Advanced standards[13].
This usually happened during the late nights and it is reasonable when the tweet volume is extremely small and the sampled user size is very small.
This assumption is reasonable when the channel varies slowly compared with the symbol rate, and knowledge of the channel can be obtained via training.
It can be observed that the accuracy is reasonable; when the day is particularly clear and the irradiation is high (e.g., June 21) the measured profile rises a little faster than the predicted one.
It can be observed that the accuracy is reasonable; when the day is particularly clear and the irradiation is high (e.g., June 21st), the measured profile rises a little faster than the predicted one.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com