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As shown in previous studies [37], [38], [39] a systematic model based approach can provide biological insight and information to the experimentalist.
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This demonstrates that CSP based approaches can provide an accurate way in which to predict protein/ligand complex structure using in silico NMR approaches.
While in situ and GUS reporter based approaches can provide high spatial resolution, they require sacrificing the sampled tissue and thus cannot be used to easily monitor gene expression dynamics in individual plants over time.
The proposed SVDD-based approach can provide a suitable mechanism to map component evaluation grades to failure risks based on the probabilistic behaviors of power system failures.
However, a fuzzy logic-based approach can provide more fairness on queue management.
Results reveal that FMM-based approach can provide satisfactory results while significantly reducing computational cost.
At every game period, our learning-based approach can provide synergistic and complementary features to adapt dynamic UPN situations.
This prognostics-based approach can provide early warnings of failures to schedule maintenance and thus reduce unscheduled data center downtime.
Findings from a range of studies in both ESL and EFL contexts show that utilizing a project-based approach can provide many benefits to classroom language learning.
We use this task as a paradigmatic example of what sort of statistical inference our model-based approach can provide.
Another issue which needs to be addressed is whether a DNA-based approach can provide ecological data on a scale suitable for detecting fine-scale temporal or spatial variation in diet.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com