On negative higher-order Kerr effect and filamentation

As a contribution to the ongoing controversy about the role of higher-order Kerr effect (HOKE) in laser filamentation, we first provide thorough details about the protocol that has been employed to infer the HOKE indices from the experiment. Next, we discuss potential sources of artifact in the experimental measurements of these terms and show that neither the value of the observed birefringence, nor its inversion, nor the intensity at which it is observed, appear to be flawed. Furthermore, we argue that, independently on our values, the principle of including HOKE is straightforward. Due to the different temporal and spectral dynamics, the respective efficiency of defocusing by the plasma and by the HOKE is expected to depend substantially on both incident wavelength and pulse duration. The discussion should therefore focus on defining the conditions where each filamentation regime dominates.Comment: 22 pages, 11 figures. Submitted to Laser physics as proceedings of the Laser Physics 2010 conferenc

Emergence of a non trivial fluctuating phase in the XY model on regular networks

We study an XY-rotor model on regular one dimensional lattices by varying the number of neighbours. The parameter $2\ge\gamma\ge1$ is defined. $\gamma=2$ corresponds to mean field and $\gamma=1$ to nearest neighbours coupling. We find that for $\gamma<1.5$ the system does not exhibit a phase transition, while for $\gamma > 1.5$ the mean field second order transition is recovered. For the critical value $\gamma=\gamma_c=1.5$, the systems can be in a non trivial fluctuating phase for whichthe magnetisation shows important fluctuations in a given temperature range, implying an infinite susceptibility. For all values of $\gamma$ the magnetisation is computed analytically in the low temperatures range and the magnetised versus non-magnetised state which depends on the value of $\gamma$ is recovered, confirming the critical value $\gamma_{c}=1.5$

Linear theory and violent relaxation in long-range systems: a test case

In this article, several aspects of the dynamics of a toy model for longrange Hamiltonian systems are tackled focusing on linearly unstable unmagnetized (i.e. force-free) cold equilibria states of the Hamiltonian Mean Field (HMF). For special cases, exact finite-N linear growth rates have been exhibited, including, in some spatially inhomogeneous case, finite-N corrections. A random matrix approach is then proposed to estimate the finite-N growth rate for some random initial states. Within the continuous, $N \rightarrow \infty$, approach, the growth rates are finally derived without restricting to spatially homogeneous cases. All the numerical simulations show a very good agreement with the different theoretical predictions. Then, these linear results are used to discuss the large-time nonlinear evolution. A simple criterion is proposed to measure the ability of the system to undergo a violent relaxation that transports it in the vicinity of the equilibrium state within some linear e-folding times

Development of Magnetohydrodynamic Modes During Sawteeth in Tokamak Plasmas

A dynamical analysis applied to a reduced resistive magnetohydrodynamics model is shown to explain the chronology of the nonlinear destabilization of modes observed in tokamak sawteeth. A special emphasis is put on the nonlinear self-consistent perturbation of the axisymmetric m = n = 0 mode that manifests through the q-profile evolution. For the very low fusion-relevant resistivity values, the q-profile is shown to remain almost unchanged on the early nonlinear timescale within the central tokamak region, which supports a partial reconnection scenario. Within the resistive region, indications for a local flattening or even a local reversed-shear of the q-profile are given. The impact of this ingredient in the occurrence of the sawtooth crash is discussed.Fil: Firpo, Marie C.. Ecole Polytechnique; Francia. Centre National de la Recherche Scientifique; FranciaFil: Ettoumi, W.. Ecole Polytechnique; Francia. Centre National de la Recherche Scientifique; FranciaFil: Farengo, R.. Comision Nacional de Energia Atomica. Gerencia del Area de Investigaciones y Aplicaciones no Nucleares. Gerencia de Fisica (CAB); Argentina. Comisión Nacional de Energía Atómica. Gerencia del Area de Energía Nuclear. Instituto Balseiro; ArgentinaFil: Ferrari, Hugo Emilio. Comision Nacional de Energia Atomica. Gerencia del Area de Investigaciones y Aplicaciones no Nucleares. Gerencia de Fisica (CAB); Argentina. Comisión Nacional de Energía Atómica. Gerencia del Area de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Garcia Martinez, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lifschitz, A. F.. Ecole Polytechnique; Francia. Centre National de la Recherche Scientifique; Franci

Genomic diversity and relationship of Bacillus thuringiensis and Bacillus cereus by multi-REP-PCR fingerprinting

The genomic diversity and relationship among 56 Bacillus thuringiensis and Bacillus cereus type strains were investigated by multi-REP-PCR fingerprinting consisting of three PCR reactions targeting the enterobacterial ERIC1 and ERIC2 and the streptococcal BOXA1R consensus sequences. A total of 113 polymorphic bands were generated in the REP-PCR profiles that allowed tracing of a single dendrogram with three major groups. Bacillus cereus strains clustered together in the A and B groups. Most of the B. thuringiensis strains clustered in group C, which included groups of serovars with a within-group similarity higher than 40% as follows: darmstadiensis, israelensis, and morrisoni; aizawai, kenyae, pakistani, and thompsoni; canadensis, entomocidus, galleriae, kurstaki, and tolworthi; alesti, dendrolimus, and kurstaki; and finitimus, sotto, and thuringiensis. Multi-REP-PCR fingerprinting clustered B. thuringiensis serovars in agreement with previously developed multilocus sequence typing schemes, indicating that it represents a rapid shortcut for addressing the genetic relationship of unknown strains with the major known serovars

Statistical bivariate modelling of wind using first-order Markov chain and Weibull distribution

This paper studies the statistical features of the wind at Oran (Algeria). The data used are the wind speed and wind direction measurements collected every 3 h at the meteorological station of Es Senia (Oran), during the 1982/92 period. The eight directions of the compass card have been considered to build the frequency distribution of the wind speed for each month of the year and each direction. The three-hourly wind data have been modelled by means of Markov chains. First-order nine-state Markov chains are found to fit well the wind direction data, whereas the related wind speed data are well fitted by first-order three-state Markov chains. The Weibull probability distribution function has also been considered and found to fit the monthly frequency distributions of wind speed measurements. Two methods of wind data retrieval are thus made available. In fact, two models of chronological bi-series are obtained describing wind speed and wind direction

Gammaproteobacteria occurrence and microdiversity in Tyrrhenian Sea sediments as revealed by cultivation-dependent and -independent approaches

Bacterial diversity in Tyrrhenian Sea sediments was assessed using cultivation-dependent and independent approaches. Samples collected from the different sediment layers (up to 30 cm) relative to four seamount and non-seamount stations, at depths from 3425 to 3580 m, were subjected to DNA extraction and 165 rRNA amplification targeting the V3 region. Denaturing gradient gel electrophoresis (DGGE) showed several heterogeneous profiles and 27 single bands were excised and sequenced. Sequence analysis revealed the presence of Firmicutes, Actinobacteria and Chloroflexi in 26% of the DGGE bands and a predominance of sequences affiliated to cultivable and uncultivable clones of Gammaproteobacteria (55%). To corroborate these findings, cultivation attempts were performed that allowed the isolation of 87 strains assigned to the proteobacterial classes. Identification was achieved by means of automated ribosomal intergenic spacer analysis (ARISA) and by 165 rDNA sequencing. The isolates were related to the gamma, alpha and beta subclasses of Proteobacteria with respective percentages of 77, 17 and 6%. The most predominant Gammaproteobacteria isolates, assigned to the Psychrobacter marin-cola and P. submarinus clade (n = 53) and to Halomonas aquamarina (n = 14), showed a huge intraspecific diversity with 29 distinct ARISA haplotypes. The detection by both approaches of these psychrophilic and moderately halophilic species and their extensive microdiversity indicated their predominance in Tyrrhenian Sea sediments where they constituted the indigenous microflora

Screening of nickel tolerant bacteria and assessing for genes encoding for nickel resistance

Nickel and various heavy metals are known for their toxic effects on human health and the environment. A number of conventional technologies (such as ion exchange, chemical precipitation, chemical oxidation) have been developed for metal removal and detoxification from wastewater. However, these processes have been shown to be expensive and inefficient. For these reasons, biological process has been considered as an attractive alternative to physico-chemical methods leading to the clean up of metal-contaminated environments. Heavy metals resistant microorganisms involved in this biological process are able to uptake both soluble and particulate forms of metals either through bioaccumulation (living cells) and biosorption (dead cells). In our study, a collection of 90 bacterial strains assigned to diverse species of Bacillus, Proteobacteria and Actinobacteria, was screened for multi-heavy metals resistance and accumulation capability. Taking in account the affinity of exopolysaccharide for metals binding, our collection has been also screened for exopolysaccharide production. Moreover the active nickel removal ability was investigated by ICP-MS and the amplification of specific metal-resistance genes nccA, cnr3 and nrbE encoding for nickel-cobalt-cadmium resistance, was performed. Our results revealed that strains affiliated to Actinobacteria and Proteobacteria were able to resist to high nickel concentrations ranged from 0.5 to 1 mM. One strain identified as Microbacterium foliorum was found to have the highest tolerance to Ni2+ (2 mM). A weak nickel accumulation has been detected in selected bacteria. Preliminary results showed that there was no implication of microbial exopolysaccharide production in nickel accumulation. Further experiments are currently in progress in order to improve the efficiency of nickel removal process