Sentence examples for counterpart predictions from inspiring English sources

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To assess the impact of penetrability, results are compared to counterpart predictions for the sound of an impermeable airfoil.

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The backward prediction counterpart of this optimization problem is similarly solved using 2 × 2 lower triangular transformation matrices L ℓ b ( i ), and 2 × 2 lattice backward prediction reflection coefficient matrices, Δ ℓ b ( i ).

According to the authors' description, the modified ATS rule can serve as a useful counterpart to the prediction by Fine et al. The modified ATS rule was good in terms of sensitivity (89.9%) and the area under the receiver operator curve graph (0.823) for predicting 14-day ICU admission in HCAP patients.

While this analysis is not definitive, we reasoned that identifiable promoters that match their predicted B. subtilis counterparts would reinforce the predictions placing genes in particular regulons.

Our results show that the silencing of MLYCD has an anti-proliferative effect across multiple cancer cell lines but spares the non-transformed counterparts, confirming PRIME's predictions.

The new benchmarks, different from the extensions of their 1-d counterparts, relate to prediction of kinetics of mixing in particle phase under: (i) pure aggregation of particles, called aggregative mixing, and (ii) simultaneous breakup and coalescence of drops.

Women within three years of menopause who lose bone rapidly are twice as likely to have vertebral and peripheral fractures as their normal or slower-bone-losing counterparts, again similar to BMD predictions [ 17].

Good agreement between model predictions and their experimental counterpart are achieved.

For digital implementation of the proposed non-augmented low-dimensional ASMC, a digital counterpart is designed based on the existing prediction-based digital redesign method and the newly developed prediction-based Chebyshev quadrature digital redesign method.

The proposed algorithm generates better class membership predictions than its Naive Bayesian counterpart on classifying molecules that are non-linearly separable in descriptor space.

When compared to the experimental data, the semi-empirical models predictions agreed to their experimental counterparts within the measurement uncertainties thresholds.

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