7,883 research outputs found
Systematic studies on the hagfish (Eptatretidae) in the adjacent waters around Taiwan with description of two new species.
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SC author and illustrator Kate Salley Palmer signing book
No full textPhotograph of SC author and illustrator Kate Salley Palmer signing boo
SC-OGs and SNAP-OGs have similar phylogenetic information content.
No full textTo evaluate similarities and differences between SC-OGs (orange dots) and SNAP-OGs (blue dots), we examined each gene’s phylogenetic information content by measuring 9 properties of multiple-sequence alignments and phylogenetic trees. We performed these analyses on 12,764 gene families from 3 datasets—24 budding yeasts (1,668 SC-OGs and 1,392 SNAP-OGs) (A), 36 filamentous fungi (4,393 SC-OGs and 2,035 SNAP-OGs) (B), and 26 mammals (321 SC-OGs and 1,775 SNAP-OGs) (C). Principal component analysis revealed striking similarities between SC-OGs and SNAP-OGs in all 3 datasets. For example, the centroid (i.e., the mean across all metrics and genes) for SC-OGs and SNAP-OGs, which is depicted as an opaque and larger dot, are very close to one another in reduced dimensional space. Supporting this observation, multifactor analysis of variance with interaction effects of the 6,630 SNAP-OGs and 6,634 SC-OGs revealed no difference between SC-OGs and SNAP-OGs (p = 0.63, F = 0.23, df = 1) and no interaction between the 9 properties and SC-OGs and SNAP-OGs (p = 0.16, F = 1.46, df = 8). Multifactor analysis of variance using an additive model yielded similar results wherein SC-OGs and SNAP-OGs do not differ (p = 0.65, F = 0.21, df = 1). There are also very few outliers of individual SC-OGs and SNAP-OGs, which are represented as translucent dots, in all 3 panels. For example, SNAP-OGs outliers at the top of panel C are driven by high treeness/RCV values, which is associated with a high signal-to-noise ratio and/or low composition bias [23]; SNAP-OG outliers at the right of panel C are driven by high average bootstrap support values, which is associated with greater tree certainty [74]; and the single SC-OG outlier observed in the bottom right of panel C is driven by a SC-OG with a high degree of violation of a molecular clock [78], which is associated with lower tree certainty [79]. Multiple-sequence alignment and phylogenetic tree properties used in principal component analysis and abbreviations thereof are as follows: average bootstrap support (ABS), degree of violation of the molecular clock (DVMC), relative composition variability, Robinson–Foulds distance (RF distance), alignment length (Aln. len.), the number of parsimony informative sites (PI sites), saturation, treeness (tness), and treeness/RCV (tness/RCV). The data underlying this figure can be found in figshare (doi: 10.6084/m9.figshare.16875904).</p
Book signing by SC author and illustrator Kate Salley Palmer
No full textPhotograph of Book signing by SC author and illustrator Kate Salley Palme
Tibetxya Cao & Yang & Shen & Yin 2021, gen. nov.
No full textTibetxya gen. nov. Type species: Tibetxya motuoensis sp. nov. (Fig.1 A–E, Fig. 2 A–H). Diagnosis: The new genus lacking swimming plates at metatibia and metatarsus degenerated is allied to Paraxya Cao, Chen & Yin, 2019, but differs from latter by length of head and pronotum longer than tegmen, tegmen with Sc vein and R vein, length of metatibia 2.3 times length of apical spurs and 8 th segment of antennae not narrow in base. The new genus is also allied to Xya Latreille, 1809, but differs from latter by the metatibia lacking swimming plates. Etymology: The new genus is name Tibet, Tibetxya showing the new genus from Tibet, China.Published as part of Cao, Cheng-Quan, Yang, Kai-Yan, Shen, Zi-Hao & Yin, Zhan, 2021, A new genus and a new species of pygmy mole cricket from China (Orthoptera: Tridactylidae), pp. 91-94 in Zootaxa 5005 (1) on page 91, DOI: 10.11646/zootaxa.5005.1.8, http://zenodo.org/record/514124
High-resolution clean-sc
No full textIn this paper a high-resolution extension of CLEAN-SC is proposed: HR-CLEAN-SC. Where CLEAN-SC uses peak sources in “dirty maps” to define so-called source components, HR-CLEAN-SC takes advantage of the fact that source components can likewise be derived from points at some distance from the peak, as long as these “source markers” are on the main lobe of the Point Spread Function (PSF). This is very useful when sources are closely spaced together, such that their PSFs interfere. Then, alternative markers can be sought in which the relative influence by PSFs of other source positions is minimised. For those markers the source components better agree with the actual sources, which allows for better estimation of their locations and strengths. This paper outlines the theory needed to understand this approach and discusses applications to 2D and 3D microphone array simulations with closely spaced sources
Estimativa da matéria sólida orgânica produzida por mexilhões Perna perna em áreas de produção na Baia da Babitonga - SC
Get PDFDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Ambienta
SC author and illustrator Kate Salley Palmer talking to event attendees
No full textPhotograph of SC author and illustrator Kate Salley Palmer talking to Rita Lewi
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