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We investigated through field experimentation the ability to detect Pseudorasbora parva, a highly invasive pest fish in Europe, in relation to their known density and sampling method.
To gain more insights on the impacts of node density and sampling rate, we next perform asymptotic analysis for systems operating in AWGN channels.
Moreover, more thermal information can be revealed by a simple built-in TFTC array for on-chip thermal analysis, which provided suitable array density and sampling rate.
In order to explicitly identify the impacts of the node density and sampling rate on the MSE, we will first focus on the analysis of system operating in the AWGN channel, and this will allow us to express the MSE as a closed form expression of the node density and sampling rate.
Alternatively, an agent-based model could be used to evaluate the ideal sampling strategy for genetic ape surveys while accounting for the grouping patterns of apes, the variation in habitat types, ape density and sampling area.
The country was divided into 12 regions according to the population density and sampling within each region was carried out under the supervision of the National Centre for Prevention of Infectious Diseases.
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The measured anisotropy dependence on electron density and sample asymmetry agrees with previous theoretical studies.
Power analyses, i.e. analyses that determine the probability to correctly reject the null hypothesis, were conducted to assess how power depends on the position of the causal SNP (within or outside target regions), the SNP density and sample size.
Plasma discharge power density and sample treatment time are investigated as the major parameters.
Implementation issues related to the choice of importance sampling density and sample generation for reducing the variance of the estimate are addressed.
In particular, we document in the empirical data that the long-known complicating effects of allele frequency, marker density, and sample size largely reconcile all large-scale surveys.
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