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Activity cliffs represent the most prominent feature of activity landscapes, which can be graphically represented by models that integrate molecular similarity and potency relationships [2, 4].
As the author of this paper will demonstrate, it is this feature of activity that is solely expressive in nature that often makes it difficult for many legal approaches to engage them.
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Finally, older adults benefit from using embodied perceptual-motor features of activity during comprehension.
In this case, features of activity on February 17, 2015 are immediately visible, and here are highlighted with boxes.
Based on three assumptions, the features of activity ((A_i)), membership duration ((S_i)), leadership ((L_i)) for user (u_i) can be estimated as follows.
Five features of activity index were calculated on the recorded videos (average, maximum, minimum, sum and variance) over 14 time intervals.
The one and same process unites all features of activity in nature: the adaptation of early life to primordial environments and the adaptation of modern science to new data are unified under the principle of experience forcing adaptation in memory.
The results revealed that ANNs, fed with 70 features of activity index (5 features × 14 intervals) calculated on 241 s time intervals, classified high aggression events with a sensitivity of 96.1%, specificity of 94.2% and an accuracy of 99.8% whereas medium aggression events were classified with a sensitivity of 86.8%, specificity of 94.5% and an accuracy of 99.2%.
The features of activity and chronicity listed above were categorized as follows: 0 (no lesions), 1 (lesions in up to 25% of glomeruli), 2 (lesions in 25 to 50% of glomeruli) or 3 (lesions in > 50% of glomeruli).
To address the concern about how variability of neural circuits and opsin expression profiles might affect features of activity other than the mean firing rate, we have clarified the Results section "Proportional-integral control of network firing" and the Discussion.
DOI: http://dx.doi.org/10.7554/eLife.04059.003 We first analyzed the spontaneous activity patterns displayed by SNc dopaminergic neurons, using two simple measures capturing the general features of activity: the averaged InterSpike Interval (ISIavg), and the coefficient of variation of the ISI (CVISI), which is proportional to the irregularity of firing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com