Exact(30)
We found that sequences with high affinity for CRX repress transcription, whereas sequences with lower affinity activate.
Our results demonstrated excellent sensitivity and specificity for viral nucleic acid sequences with lower limits of detection of less than 100 copies.
Sequences with lower susceptibility artefacts such as a conventional gradient-echo than a steady-state free precession (SSFP) should be used.
In the meantime, the training sequences in (32) have a higher complexity with complex values, but their PAPR is the best (that is, of value 1) since max n | x i, n | 2 = P i and 1 N ∑ n = 0 N − 1 | x i, n | 2 = P i. Taking the PAPR also into consideration, we now propose some sets of optimal training sequences with lower or similar complexity than the conventional training sequences.
At least for the species in the present analysis, COI barcode analysis was a highly successful and accurate tool for species confirmation, in that all species barcoded to date displayed readily distinguishable COI sequences, with lower divergence within species.
It is highly unlikely that sequences with lower similarity than 95% have collapsed in the assembly.
Similar(30)
A decoded video sequence with lower flicker is more preferable, whether for distributed or conventional video coding systems.
By Lemma 2, ({rho(mathcal{A}_{k})}_{k=1}^{+infty}) is a monotone decreasing sequence with lower bound (rho(mathcal{A})).
By Lemma 2.3, ({rho(mathcal{A}_{k})}) is a monotone decreasing sequence with lower bound (rho(mathcal{A})).
Generally, a decoded video sequence with lower flicker is more preferable, whether for conventional video coding schemes or DVC schemes.
If these precursors had a stable secondary structure, the sequence with lower energy was used in predictions with TripletSVM.
Write better and faster with AI suggestions while staying true to your unique style.
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