1,636 research outputs found

    Accidental Symmetries and the Conformal Bootstrap

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    We study an N=2{\cal N} = 2 supersymmetric generalization of the three-dimensional critical O(N)O(N) vector model that is described by N+1N+1 chiral superfields with superpotential W=g1X∑iZi2+g2X3W = g_1 X \sum_i Z_i^2 + g_2 X^3. By combining the tools of the conformal bootstrap with results obtained through supersymmetric localization, we argue that this model exhibits a symmetry enhancement at the infrared superconformal fixed point due to g2g_2 flowing to zero. This example is special in that the existence of an infrared fixed point with g1,g2≠0g_1,g_2\neq 0, which does not exhibit symmetry enhancement, does not generally lead to any obvious unitarity violations or other inconsistencies. We do show, however, that the FF-theorem excludes the models with g1,g2≠0g_1,g_2\neq 0 for N>5N>5. The conformal bootstrap provides a stronger constraint and excludes such models for N>2N>2. We provide evidence that the g2=0g_2=0 models, which have the enhanced O(N)×U(1)O(N)\times U(1) symmetry, come close to saturating the bootstrap bounds. We extend our analysis to fractional dimensions where we can motivate the nonexistence of the g1,g2≠0g_1,g_2\neq 0 models by studying them perturbatively in the 4−ϵ4-\epsilon expansion.Comment: 26 pages, 5 figure

    Reversible surface aggregation in pore formation by pardaxin

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    The mechanism of leakage induced by surface active peptides is not yet fully understood. To gain insight into the molecular events underlying this process, the leakage induced by the peptide pardaxin from phosphatidylcholine/ phosphatidylserine/cholesterol large unilamellar vesicles was studied by monitoring the rate and extent of dye release and by theoretical modeling. The leakage occurred by an all-or-none mechanism: vesicles either leaked or retained all of their contents. We further developed a mathematical model that includes the assumption that certain peptides become incorporated into the vesicle bilayer and aggregate to form a pore. The current experimental results can be explained by the model only if the surface aggregation of the peptide is reversible. Considering this reversibility, the model can explain the final extents of calcein leakage for lipid/peptide ratios of > 2000:1 to 25:1 by assuming that only a fraction of the bound peptide forms pores consisting of M = 6 +/- 3 peptides. Interestingly, less leakage occurred at 43 degrees C, than at 30 degrees C, although peptide partitioning into the bilayer was enhanced upon elevation of the temperature. We deduced that the increased leakage at 30 degrees C was due to an increase in the extent of reversible surface aggregation at the lower temperature. Experiments employing fluorescein-labeled pardaxin demonstrated reversible aggregation of the peptide in suspension and within the membrane, and exchange of the peptide between liposomes. In summary, our experimental and theoretical results support reversible surface aggregation as the mechanism of pore formation by pardaxin

    Towards Testable Neuromechanical Control of Architectures for Running

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    Our objective is to provide experimentalists with neuromechanical control hypotheses that can be tested with kinematic data sets. To illustrate the approach, we select legged animals responding to perturbations during running. In the following sections, we briefly outline our dynamical systems approach, state our over-arching hypotheses, define four neuromechanical control architectures (NCAs) and conclude by proposing a series of perturbation experiments that can begin to identify the simplest architecture that best represents an animal\u27s controller
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