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of integers 46:05 On vertex-transitive graphs with a unique hamiltonian circle 51:10 Learning Tasks in the Wasserstein Space 55:54 Influence of the endothelial surface layer on the motion of red blood cells 51:22 Effect of Dependence on the Convergence of Empirical Wasserstein Distance 59:08 ...
Skin reflectance was measured on the inner surface of the arm. With the African Caribbean, African American, and European American samples, a CyberDerm DermaSpectrometer was used, and a measure of skin melanin content was scored as the trait value. With the Hispanic American sample, a Photovolt...
Tissue morphogenesis arises from coordinated changes in cell shape driven by actomyosin contractions. Patterns of gene expression regionalize cell behaviours by controlling actomyosin contractility. Here we report two modes of control over Rho1 and myosi
(2019). The AvrPm3-Pm3 effector-NLR interactions control both race-specific resistance and host-specificity of cereal mildews on wheat. Nat Commun 10, 2292. Article PubMed PubMed Central CAS Google Scholar Bourras, S., McNally, K.E., Ben-David, R., Parlange, F., Roffler, S., P...
We modelled the SAM as a paraboloid, a geometric shape that facilitates estimations of multiple measures such as volume, surface area, arc length and curvature, all of which can be calculated from just two discrete measurements, SAM height and SAM radius21,22. To test the efficacy of this ...
(ASTN2,CAMSAP1,GTF3C5andR3HDM1). Astrotactin 2, encoded byASTN2, regulates the surface expression of Astrotactin1 in glial-guided neuronal migration, and modulates synapse strength in post-migratory neurons by trafficking and degradation of surface proteins [80].CAMSAP1plays a key role in the...
(Fig.1A). To control for curvature effects, equivolumetric surfaces were used57. Resting-state functional connectivity (rsFC) matrices were calculated by cross-correlating the neural timeseries between all pairs of 400 cortical nodes58(Fig.1B). Correlating node-wise patterns in both measures, ...
Genome-wide association scans of complex multipartite traits like the human face typically use preselected phenotypic measures. Here we report a data-driven approach to phenotyping facial shape at multiple levels of organization, allowing for an open-end