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The Islamic Coalition Society, an umbrella group, wriggles in its explanation of why its ticket is not filled with clerics: we accept "only the most qualified", suggests the society's chairman.
Transitions with labels containing restricted actions should not be taken in the resulting net, as we accept only transitions labeled on ({mathcal A} = {tau } cup (mathcal {L} cup overline{mathcal {L}})^).
And increasingly, we become so secure in our bubbles that we accept only information, whether true or not, that fits our opinions, instead of basing our opinions on the evidence that's out there".
Here, we use the one-class model to initially induce the class information on the unsupervised instances, but, rather than using both positive and negative predictions, we accept only negative predictions.
This means we accept only a specified deviation of the energy energy (s) of the random structure s from the corresponding expected free energy μ energy,n and reject structures whose energy differs too much from the expected value.
The third step consists of a refinement for assignment of GO terms by keeping only those new terms that add more information (higher specificity) to the gene, i.e. we accept only those new GO terms that reside deeper (closer to a leaf node in the graph) or on a different path than the original annotations in the overall GO graph hierarchy.
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We accepted only those thresholds that were highly statistically significant (p ≤ 0.01) for both techniques and overlapped within ≤5% error.
For example, if we were to ignore the labels, then we would have classical logic, if we were to accept only the derivations which used all of the labelled assumptions, then we would have relevance logic, and if we accepted only the derivations which used the labelled assumptions exactly once, then we would have linear logic.
We defined a noise level for each station using the RMS amplitude of the time period just before the direct P wave arrival, and we accepted only time windows with signal-to-noise ratios larger than 3.0.
On the other hand, for the high stringency set we accepted only 1 median false positive.
We accepted only changes with t>4.5 or t <4.5 (corrected for multiple comparisons) as having reached significance (P<0.05) with 46 degrees of freedom and a search volume 600 cm3 for all cortical gray matter at an FWHM of 12 mm.
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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