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The basic concept of a scale-invariant method is to detect image features by investigating the determinant of Hessian matrix H in scale space [18].
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The Worker Safety Security Team augments these passive safety feature by investigating incidents to identify appropriate prevention and mitigation measures.
A better understanding of the contributions of epitope targeting and conservation could potentially be obtained by investigating features of the response shared between LTNP/EC with and without protective alleles.
By investigating sequence features, we found that the constituents of SEs were significantly GC-rich.
This study searched for basic features of fear-relevant stimuli by investigating whether schematic spider pictures are sufficient to evoke differential responses in spider phobic and spider-non-phobic individuals, in order to provide first insights regarding the question which properties constitute the fear-relevance of a spider.
This study searched for basic features of fear-relevant stimuli by investigating whether schematic spider images are sufficient to evoke differential behavioral as well as differential early and late ERP responses in spider phobic, social phobic (as a clinical control group), and non-phobic control participants.
This feature is evaluated both manually by investigating specific pairs of high-scoring metabolites, and then systematically on a literature-curated model of fatty acid synthesis and degradation.
For instance, we should now be able to gain a better understanding of texture perception in both cephalopods and their vertebrate predators, by investigating which visual features in the cuttlefish environment drive skin-pattern choices.
We identify which features of the simulation are robust by investigating the effect of different interatomic force laws and different finite element meshes.
We then empirically evaluated the validity of the structure obtained, by investigating the acoustic features that corresponded to the semantic categories that had emerged.
A deeper look on our proposed framework can be taken by investigating the retained features for the best performance obtained, i.e., for Exp. 1 at 99.9% reduction.
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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