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These methods achieve very good performance compared to BSS but require a considerable bit overhead (at least 5 kbit/s per source according to [14]).
It is remarkable that both methods achieve very similar performance since their complexities are very different, with IEC being much simpler (see next section).
When we consider affinity changes all three count-based methods achieve very good results (particularly so for DIME and DBChip).
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Results show that glucose sensors coated with polyCBMA hydrogels via the chemical method achieve very high sensitivity and good linearity in response to glucose in PBS, 10%, 50%, and 100% human blood serum.
Our method achieves very good performance in the case of high-quality MP3 files: indeed, for BR2 equal to 192 kbit/s, our method achieves an almost perfect classification performance irrespective of the audio segment duration.
Our method achieved very high accuracy from the detection of puncta in real images.
Additionally, since these proteins are generally produced by the SILAC method, achieving very high isotopic purity is often both technically challenging and cost prohibitive.
Overall, for binary classification our method achieved very high accuracy when tested on annotated psbA fragments from the GOS (86 98% overall accuracy depending on fragment length).
When proteins have close evolutionary relationships, the similarity-based methods can achieve very reliable predicted results [ 9, 10].
In this paper, we describe a method to achieve very low rejection rates by using a modified energy, which is preserved to high-order along molecular dynamics trajectories.
Experiment results show that the new method can achieve very high speedup for small square matrices and fat matrices compared to CUBLAS or MAGMA, and can also achieve higher performance for large square matrices.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com