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These predictions suggest a certainty and unqualified belief that a big data revolution is imminent.
Our predictions suggest a future increase to ∼11,000 t/years within the next 40 years.
Secondary structure predictions suggest a role for the DNA conformational state in determining the effectiveness of Ape1.
The numerical predictions suggest a 10%65%% reduction in lift coefficient due to ice accretion, which is highly dependent on the accreted ice shape.
Model predictions suggest a stratified structure within the granule which is the result of: 1) applied loading rates, 2) mass transfer limitations and 3) specific (bacterial) affinity for substrate.
These, and other, shortcomings in the accuracy of the predictions suggest a requirement for further investigation of second-order chemistry and differential diffusion effects, as well as assessments of the applicability of the prescribed PDF and cross-stream average formulation used in the current CMC model.
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Secondary structure predictions suggest an α/β-fold.
Predictions suggested a strong correlation between the phase 3 temperature profile and the residual stress field subsequently created.
With some predictions suggesting a potential near future grand solar minimum and new evidence pointing to large abrupt changes in atmospheric dynamics, closely linked to regional-scale climate, associated to grand minima in the past, it is now evident that we need to better understand the role of the Sun and all forms of solar forcing on continental- and subcontinental-scale climate.
The independence between the predictions suggests a possibility that the combination of the programs could improve the prediction performance.
RNA folding predictions suggested a stem-loop secondary structure comprising IDX and rasISS1 sequences, see [8] and figure 1D, that is conserved between hamster, mouse, rat and human [8].
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Justyna Jupowicz-Kozak
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