Genotype of Aphis gossypii

MEGA format file for selecting SNP loci and further analysis of genetic diversity of Aphis gossypii

Surface Acoustic Wave Mitigation of Precipitate Deposition on a Solid SurfaceAn Active Self-Cleaning Strategy

We demonstrate the application of a 20 MHz frequency surface acoustic wave (SAW) in a solid substrate to render its surface “self-cleaning”, redirecting the deposition of precipitating mass onto a nearby inert substrate. In our experiment, we confine a solution of poly­(methyl methacrylate) polymer and a volatile toluene solvent between two substrates, lithium niobate and glass, at close proximity. We render the glass surface low energy by employing hydrophobic coating. In the absence of SAW excitation, we observe that the evaporation of the solvent yields polymer coating on the higher energy lithium niobate surface, while the glass surface is mostly devoid of polymer deposits. The application of a propagating SAW in the lithium niobate substrate mitigates the deposition of the polymer on its surface. As a response, we observe an increase in the deposition of the polymer precipitates on glass. Above a SAW power threshold, the polymer appears to deposit solely on glass, leaving the surface of the lithium niobate substrate devoid of polymer mass

QWT-IQA scores against DMOS on the LIVEMD image database.

<p>QWT-IQA scores against DMOS on the LIVEMD image database.</p

Several IQA comparison on single distortion LIVE image database.

<p>Several IQA comparison on single distortion LIVE image database.</p

Several IQA comparison on the LIVEMD image database.

<p>Several IQA comparison on the LIVEMD image database.</p

Simulated sequences reproduced the variability of acute HIV-1 infections with multiple founder variants.

(A) A highlighter plot and (B) phylogeny for Env sequences sampled at 7 and 28 days post-diagnosis from a RV217 participant (id = 40363) with an infection with multiple founder variants. (C) The percentage of non-consensus residues at each Env site in sequences simulated from the major founder variant or major lineage 1 (top, blue line) and the minor founder variants grouped here as lineage 2 (bottom, blue line) after seeding with the consensus sequence from an independent acutely-infected RV217 participant (id = 10066); values for sequences belonging to the major and minor founder lineages in 40363 are shown in open and filled pink circles, respectively. (D) Regression plots of the percentage of non-consensus residues in the training alignment as a function of non-consensus residues in the simulated alignment for (top, blue fill and pink border) founder lineage 1 and (bottom, blue border and pink fill) founder lineage 2. (E) Phylogeny of sequences sampled at 4–34 days post-diagnosis from 6 RV217 participants with infections with multiple founder variants. Tips are colored to represent the population corresponding to the major (open circles) and minor (closed circles) founder populations for each participant (for simplicity, multiple founder variants or singleton sequences are grouped under the minor lineage). (F) For sequences simulated under each training alignment (see panel E), the pairwise diversity of the training alignment (pink) and of the sequences simulated under that training alignment (blue); and the pairwise diversity of sequences simulated under the pooled alignment (blue). Solid lines represent 25% and 75% interquartile ranges. (G) Barplots of the number of polymorphic sites per sequence in sequences simulated under each training alignment and the pooled-participants training alignment (blue) at all sites, CD4bs, V1-V2 contact sites, V3 contact sites, and MPER sites. Dashed whiskers indicate maximum values. Pink dots represent median values for training alignments.</p

Candidate antigen sequences simulated from a subtype C Env consensus sequence and trained on pooled founder alignments sampled from six multi-founder acute infections in RV217.

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Several IQA comparison on the MDID2013 image database.

<p>Several IQA comparison on the MDID2013 image database.</p

Efficiency comparison of several IQA.

Efficiency comparison of several IQA.</p

Mismatched sites between seeding, training, and simulated sequences.

Correlation plot of the percentage of mismatched non-gapped sites between the consensus of the seeding alignment, simulated alignment, and training alignment for sequences simulated under each RV217 multi-founder infection. (TIF)</p