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In practice, short-term traffic information has the characteristics of real-time, incompleteness, non-linearity and non-stationary, and few proposed methods could successfully implement this forecasting.
It could be seen that all methods could successfully reduce the platinum ionic species and generate well-crystallized multi-faceted metallic platinum nanoparticles.
The bifurcating-deme structure we imposed in our experiment afforded the possibility to test whether phylogenetic methods could successfully reconstruct the tree topology using genetic data alone.
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Preliminary tests indicate that the proposed method could successfully cope with changes in manufacturing parameters.
The multiple linear regression method could successfully construct the objective function of the tibial locking screws, but it failed to develop the objective function of the spinal pedicle screws.
We tested this protocol for 38 proteins and found that, using a certain defined criterion of success, our method could successfully predict the native structures of 14 targets, whereas only those of 10 targets were successfully predicted using the standard protocol.
This method could successfully overcome the attenuating fusion ('catastrophic fusion') under various noise conditions.
This method could successfully avoid destroying CNT arrays; however, silicon nitride was too brittle which limited the mechanical properties of the membrane.
The results indicated that the method could successfully determine the optimal parameters while satisfying the spacing constraint imposed by the user.
This approach demonstrated that an alternative exploration model and the use of an unconventional survey method could successfully achieve multiple objectives, such as lead generation in frontier areas, lead confirmation in areas where existing geophysical information suggested prospectivity, and establishing a novel framework for a national exploration strategy.
We demonstrated that the hit rate calculated for 21 binding sites using our approach correlates with the hit rate measured experimentally from NMR-based screening method, and that the method could successfully distinguish known druggable and non-druggable targets.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com