Sentence examples for 1 dt from inspiring English sources

According to the electromagnetic induction law, the input voltage u i of transformer A is given by u i = N 1 d φ 11 dt = L 1 d i 1 dt (1).

The CDF for the beta-generated family of distributions is given by G ( x ) = 1 B ∫ 0 F ( x ) t α - 1 ( 1 - t ) β - 1 dt, 0 < α, β < ∞, (1).

Using Kirchhoff's law, we obtain the classical equations of motion for charges of the system [4]: L 1 d 2 q 1 d t 2 + R 1 d q 1 dt + q 1 C 1 + L 0 d 2 q 1 d t 2 − d 2 q 2 d t 2 + R 0 d q 1 dt − d q 2 dt = E ( t ), (1) Figure 1 Electronic circuit.

The number of investigated flocks distributed on production category and Salmonella serovar is shown in Table 1. 1) DT = definitive type.

The pre-publication history for this paper can be accessed here: 1 DT (in days) is the double time of the tumors.

Diastolic function was defined as normal if E/ A > 1, E′/ A′ > 1, DT < 20 ms; I degree of dysfunction if E/ A < 1, E′/ A′ < 1, DT > 20 ms; II degree of dysfunction if E/ A > 1, but E′/ A′ < 1 and DT > 20; III degree of dysfunction if E/ A > 2 and DT < 20 ms with reduced E′ and A′ velocities.

Figure 1 DT-based acoustic models.

Given a divergence operator δ on a probability space such that the law of δ(h) is infinitely divisible with characteristic exponent 0.1)h↦−12∞∫0h2tdt,or∞∫0(eih(t)−ih(t)−1)dt,h∈L2(R+), we derive a family of Laplace transform identities for the derivative ∂E[eλδ u)]/∂λ when u is a non-necessarily adapted process.

Hence, the symmetric probability density function is given by begin{aligned} f(x) = frac{x^{alpha -1} 1-x ^{alpha -1}{intt _0^1{t^{alpha -1} 1-t)^{alpha -1} dt}} end{aligned}for some (alpha in (0,infty )).

The values correspond SWCNT diameters of 1.39 2.68 nm by equation, ωRBM = 223.75/dt (ωRBM is the RBM frequency in cm−1; dt is the SWCNT diameter in nm) [24].

For a multivariate, multistrain decomposition involving design matrix D = (d1, … ,  d n T, we apply a property of the hat matrix, P = D[ DT D]−1 DT, which is also known as a "projection" matrix, to decompose the sum-of-squared prediction error into modeled components and noise (Neter et al. 1996).