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Exact(4)
Here, ω p 2 = 4 π e 2 n 0 m Open image in new window, ω c = e B 0 m Open image in new window, and ν ′ = v ω Open image in new window and the tile sign of the dimensional field quantities in Equations 10, 11, 12, 13, and 14 are ignored for simplicity.
The physical quantities in Equations 1, 2, 3, 4, and 5 become dimensionless by applying the following transformations: x ∼, y ∼, z ∼, t ∼ = k 0 x, y, z, ω t, Open image in new window (6) E ∼, B ∼ = 1 E 0 E, B, Open image in new window (7) n ∼ = n n 0, Open image in new window (8) V ∼ = V c, Open image in new window (9).
With the quantities in Equations 2 5, the probability of observing w iℓ given parameters Ψ is (6) ℙ (w i ℓ | Ψ ) = ∑ g i ℓ ℙ (w i ℓ | g i ℓ, Γ ) ℙ (g i ℓ | Φ, ρ ).
The two key quantities in equations (1 - 2) are P(b| H0, G, M), the likelihood of biosurveillance data under H0, and P(b| H1, G, M), the likelihood of biosurveillance data under H1.
Similar(56)
We can let the first 20 singular point quantities in equation (20) or (21) be zero.
The initial four quantities in Equation (3) are the size of the signaling messages used in the registration phase (see Table 2) and CTCP is the TCP connection setup and teardown contribution to the overhead (see Table 1).
First, define the known quantities in Equation (24) as a constant vector a b c = I x I y 1 T ( K C - 1 ) T E K C - 1 (26).
All the quantities in equation (1) are expressed per time unit.
The quantities in equation are obtained from the dose response curves of drugs A, B, and the combination.
The physical quantities appearing in equations (56 60) involve renormalized values as H c 2 * = H c 2 1 + λ T c, Open image in new window (61).
Variables x and v could be uncorrelated when correlation is 0. Of course, the larger absolute value of the quantity in Equation 14 indicates the stronger correlation between x and v[31].
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