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(2) When G = 1, f(λ g ) is a constant; when G > 1, it varies with a secondary probability distribution that reflects the relative abundance of the source genomes.
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Beds with large porosity subjected to relatively large (e.g. moderate) Reynolds numbers are prone to display a secondary peak in the probability distribution of the normalized velocity.
Traditional detection probability can be defined as the probability that a secondary user detects a primary signal under the condition that the primary signal occupies the channel during the sensing duration[3 5, 10].
The service also employs a secondary metric known as "Amplification Probability," which documents the likelihood of a specific tweet spreading beyond the primary network through retweets as well as generating a response from the immediate audience.
c) If grazing is excluded or grazing continued and the dominant invasive plant species killed and/or removed, there is a high probability that a secondary IAP will become dominant.
The probability that a secondary user detects the primary signal within n detection opportunities, P d (n), is given by P d n = ∑ i = 0 n P d, i = 1 − 1 − p d n. (4).
The probability that a secondary user has n detection opportunities with TI can be given by P DO IMD n, T I = Pr R BUSY ≥ n T I − Pr R BUS Y ≥ n + 1 T I. (5).
The successful transmission probability of a secondary user in the first slot is the same as that of the case without cooperative relaying, i.e., begin{array}{*{20}l} text{Pr}_{text{DF}}^{1}!left text{SIR}_{ij} geq!eta_{s}right),=,prod_{qin{text{Sub}setminus i}}frac{1}{1+eta_{s} left(frac{d_{ij}}{d_{qj}}right)^{alpha}}frac{1}{1+eta_{s}gamma_{ps}left(frac{d_{ij}}{d_{0j}}right)^{alpha}}.
e.g., in Figure 3a, n ¯ CID T I = n ¯ CID − T I = 2 and in Figure 3b, n ¯ CID T I = n ¯ CID + T I = 3. Accordingly, the probability that a secondary user has n detection opportunities with TI differs depending on the range of RIDLE.
When kTI ≤ RIDLE < kTI + τ, the probability that a secondary user has n detection opportunities with TI is given by P DO CID n, T I, k, n ¯ CID − T I = C ∫ k T I k T I + τ f R IDLE t ∫ n + k T I − t n + k + 1 T I − t f T BUSY s ds dt, for 1 ≤ n < n ¯ CID − T I, C ∫ k T I k T I + τ f R IDLE t ∫ n + k T I − t ∞ f T BUSY s ds dt, for n = n ¯ CID − T I, (13).
Natural mortality affects steady state dynamics in two ways: by reducing the length of time an individual is infectious and by decreasing the probability of a secondary infection progressing to active disease during their lifetime.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com