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We solve it using a splitting approach that is discussed in detail in the Supplementary Methods, along with comparisons to state-of-the-art methods demonstrating that our method converges to a significantly better optimum in drastically less computational time.
Synaptic activity was pharmacologically blocked (see Methods), demonstrating that the stimulus directly evoked an action potential that antidromically propagated until evoking the exceptionally large somatic action potential plotted here.
Experiments in several benchmark domains are performed to evaluate how different levels of fracture affect the performance of neuroevolution methods, demonstrating that these two modifications improve performance significantly.
Selected newly discovered membrane protein-pathogen interactions were validated by conventional methods, demonstrating that the MPA is an important tool for cellular receptor discovery and for understanding pathogen tropism.
This is solved by numerical methods demonstrating that the ky component is coupled to only stabilizing quantities while the kx component couples to the competing stabilizing and destabilizing parameters.
In most cases, the bacteria were isolated without the use of any enrichment methods, demonstrating that V. cholerae is abundant in some fish species.
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Consistent recovery of cilia-like structures by both methods demonstrates that instant loss is likely due to deciliation.
The proposed ANN methods demonstrate that they are practical and beneficial to predict strength of concrete.
The comparisons with 13 intelligent diagnosis methods demonstrate that SBTDA can obtain higher diagnosis accuracy.
A quantitative comparison with prior methods demonstrates that convolutional neural networks have improved accuracy and lead to a significant reduction in curation time.
In the current work, performance of a circular permutation test (see Methods) demonstrated that the number of positional coincidences detected by us exceeds what would be expected by chance (bootstrapped P-value < 0.05).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com