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It is shown that power exchange of the two modes is determined by the internal coupling coefficient.
The variation in axial wavenumber and amplitude of the duct modes is determined as part of the solution.
The population of the fission modes is determined by the minima in the PES at the scission points and on the internal potential barriers.
In this case, Eq. (14) specifies harmonics L. The wavenumber of the L waves and L modes is determined by the following dispersion law epsilon^{mathrm{L}}left omega,, k^{mathrm{L}}right)=0.
Using the ensemble Empirical Mode Decomposition procedure on all series, a relationship between climatic indices and hydrological variables in two main modes is determined: the former associated with a mean period of quasi 1.5 3 years related to interannual variability, and the latter with a mean period of quasi 30 35 years, related to decadal low frequency variability.
To reduce user detection energy, the sensing period of BSs in the kth small cell tier follows a certain probability p sk (k=2,3,⋯,K) which is self-optimized by the network using the sensing probability optimization approach described in Section 2. The probability of BS active/sleep modes is determined by the sensing probability vector p s =(p s2,p s3,⋯,p sK ) followed by small cells at each tier.
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Furthermore, the buckling modes were determined.
Two sets of orthogonal pure modes are determined first.
The plasmon and surface-plasmon modes are determined by Re|ε|→0 and Re|ε|→−1, respectively.
Different destruction modes were determined by conditions on contact of machine with end faces of samples.
For this mean, inbound and outbound modes are determined for each node along multimodal links.
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