Sentence examples for for I e from inspiring English sources
For the electron transport in x-direction with confinement present in z-direction, the expression for I(E), after integrating over the energies along y-direction, becomes I E x = T E x f 1 D 1 E x - f 1 D 2 E x (7) Total current = I = ∑ n z ∫ I E x d E x (8).
For I E > 0, this equation has an exact solution in terms of Mathieu functions.
Hence, further investigation is needed to derive an appropriate expression for I e for concrete/CFS composite beams.
Time to first spike as a function of coupling constant λ, for I E = 0.01, I E = 0.05 and I E = 0.1.
The experimental load-deflection results were used to back calculate values for I e at different applied loads using the elastic beam load-deflection relationship.
Note that for I E = 0.01 the dependence on λ is strong, but for larger values of I E the sensitivity of T 1 with respect to λ is smaller, since I E becomes the dominant input term.
Immediately following Tween instillation alveolar instability increased dramatically, with significantly higher values for I-E% observed for both groups.
BLAST analysis of the associated cas3 genes indicated that the two arrays in a given strain were acquired as independent events from different sources based on sequence similarities to homologs in different actinomycetes (Verrucosispora vs. Streptomyces spp. for I-E arrays and Frankia vs. Stackebrandtia spp. for I-C arrays).
For i = i e, since i ≠ ie', then i e ≠ ie', which means e ≠ e'.
Once the sequence of efficient options is known given by the vector e, it only remains to evaluate the limit values ( {widehat{x}}_{ij} ) for i = e(n), j = e(n + 1), for n ∈ {1,.. N − 1} on the basis of (3.6).
Finally, in networks where connection strengths were generated probabilistically instead of in an all-to-all way, the synaptic weights from E to I cells and vice versa were all constant and set to gE and gI respectively, while the probability of connection between the pre- and post-synaptic neuron was drawn according to Equation 11 for E → I synapses, and Equation 14 for I → E synapses.
