282 research outputs found
Frustrated order on extrinsic geometries
We study, analytically and theoretically, defects in a nematically-ordered
surface that couple to the extrinsic geometry of a surface. Though the
intrinsic geometry tends to confine topological defects to regions of large
Gaussian curvature, extrinsic couplings tend to orient the nematic in the local
direction of maximum or minimum bending. This additional frustration is
unavoidable and most important on surfaces of negative Gaussian curvature,
where it leads to a complex ground state thermodynamics. We show, in
contradistinction to the well-known effects of intrinsic geometry, that
extrinsic curvature expels disclinations from the region of maximum curvature
above a critical coupling threshold. On catenoids lacking an "inside-outside"
symmetry, defects are expelled altogether.Comment: 4 pages, 3 figure
Optimization of Piezoelectric Electrical Generators Powered by Random Vibrations
This paper compares the performances of a vibrationpowered electrical
generators using PZT piezoelectric ceramic associated to two different power
conditioning circuits. A new approach of the piezoelectric power conversion
based on a nonlinear voltage processing is presented and implemented with a
particular power conditioning circuit topology. Theoretical predictions and
experimental results show that the nonlinear processing technique may increase
the power harvested by a factor up to 4 compared to the Standard optimization
technique. Properties of this new technique are analyzed in particular in the
case of broadband, random vibrations, and compared to those of the Standard
interface.Comment: Submitted on behalf of TIMA Editions
(http://irevues.inist.fr/tima-editions
Vibration stabilization for a cantilever magnet prototype at the subnanometer scale
In the future linear colliders, the size of the beams is in the nanometer range, which requires stabilization of the final magnets before the interaction point. In order to guarantee the desired luminosity, an absolute displacement lower than 1/3 of the beam size, above a few hertz, has to be obtained. This paper describes an adapted instrumentation, the developed feedback loops dedicated to the active compensation and an adapted modelling able to simulate the behaviour of the structure. The obtained results at the subnanometer scale at the free end of a cantilever magnet prototype with a combination of the developed active compensation method and a commercial active isolation system are described
Extracting non-linear integrate-and-fire models from experimental data using dynamic I–V curves
The dynamic I–V curve method was recently introduced for the efficient experimental generation of reduced neuron models. The method extracts the response properties of a neuron while it is subject to a naturalistic stimulus that mimics in vivo-like fluctuating synaptic drive. The resulting history-dependent, transmembrane current is then projected onto a one-dimensional current–voltage relation that provides the basis for a tractable non-linear integrate-and-fire model. An attractive feature of the method is that it can be used in spike-triggered mode to quantify the distinct patterns of post-spike refractoriness seen in different classes of cortical neuron. The method is first illustrated using a conductance-based model and is then applied experimentally to generate reduced models of cortical layer-5 pyramidal cells and interneurons, in injected-current and injected- conductance protocols. The resulting low-dimensional neuron models—of the refractory exponential integrate-and-fire type—provide highly accurate predictions for spike-times. The method therefore provides a useful tool for the construction of tractable models and rapid experimental classification of cortical neurons
Stabilization study at the sub-nanometer level at the interaction point of the future Compact Linear Collider
International audienc
Stabilization study at the sub-nanometer level at the interaction point of the future Compact Linear Collider
International audienc
The \u3ci\u3ePseudomonas syringae\u3c/i\u3e Hrp pathogenicity island has a tripartite mosaic structure composed of a cluster of type III secretion genes bounded by exchangeable effector and conserved effector loci that contribute to parasitic fitness and pathogenicity in plants
The plant pathogenic bacterium Pseudomonas syringae is divided into pathovars differing in host specificity, with P. syringae pv. syringae (Psy) and P. syringae pv. tomato (Pto) representing particularly divergent pathovars. P. syringae hrp/hrc genes encode a type III protein secretion system that appears to translocate Avr and Hop effector proteins into plant cells. DNA sequence analysis of the hrp/hrc regions in Psy 61, Psy B728a, and Pto DC3000 has revealed a Hrp pathogenicity island (Pai) with a tripartite mosaic structure. The hrp/hrc gene cluster is conserved in all three strains and is flanked by a unique exchangeable effector locus (EEL) and a conserved effector locus (CEL). The EELs begin 3 nt downstream of the stop codon of hrpK and end, after 2.5–7.3 kb of dissimilar intervening DNA with tRNALeu–queA–tgt sequences that are also found in Pseudomonas aeruginosa but without linkage to any Hrp Pai sequences. The EELs encode diverse putative effectors, including HopPsyA (HrmA) in Psy 61 and proteins similar to AvrPphE and the AvrByAvrCyAvrPphC and AvrBsTyAvrRxvyYopJ protein families in Psy B728a. The EELs also contain mobile genetic element sequences and have a G 1 C content significantly lower than the rest of the Hrp Pai or the P. syringae genome. The CEL carries at least seven ORFs that are conserved between Psy B728a and Pto DC3000. Deletion of the Pto DC3000 EEL slightly reduces bacterial growth in tomato, whereas deletion of a large portion of the CEL strongly reduces growth and abolishes pathogenicity in tomato
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