Thermally induced instability of a doubly quantized vortex in a Bose-Einstein condensate

We study the instability of a doubly quantized vortex topologically imprinted on $^{23}$Na condensate, as reported in recent experiment [Phys. Rev. Lett. \textbf{93}, 160406 (2004)]. We have performed numerical simulations using three-dimensional Gross-Pitaevskii equation with classical thermal noise. Splitting of a doubly quantized vortex turns out to be a process that is very sensitive to the presence of thermal atoms. We observe that even ve ry small thermal fluctuations, corresponding to 10 to 15% of thermal atoms, ca use the decay of doubly quantized vortex into two singly quantized vortices in tens of milliseconds. As in the experiment, the lifetime of doubly quantized vortex i s a monotonic function of the interaction strength.Comment: 4 pages, 5 figure

Fast approach for clarification of chromosomal aberrations by using LM-PCR and FT-CGH in leukaemic sample

Chromosomal abnormalities, like deletions, amplifications, inversions or translocations, are recurrent features in haematological malignancies. However, the precise molecular breakpoints are frequently not determined. Here we describe a rapid analysis of genetic imbalances combining fine tiling comparative genomic hybridization (FT-CGH) and ligation-mediated PCR (LM-PCR). We clarified an inv(14)(q11q32) in a case of T cell acute lymphoblastic leukaemia with a breakpoint in the TRA/D in 68% of cells detected by fluorescence in situ hybridization. FT-CGH showed several mono- and biallelic losses within TRA/D. LM-PCR disclosed a TRA/D rearrangement on one allele. The other allele revealed an inv(14)(q11q32), joining TRDD2 at 21,977,000 of 14q11 together with the IGH locus at 105,948,000 and 3'-sequence of TRAC at 22,092,000 joined together with IGHV4-61 at 106,166,000. This sensitive approach can unravel complex chromosomal abnormalities in patient samples with a limited amount of aberrant cells and may lead to better diagnostic and therapeutic options

Phylogeny-Based Systematization of Arabidopsis Proteins with Histone H1 Globular Domain.

H1 (or linker) histones are basic nuclear proteins that possess an evolutionarily conserved nucleosome-binding globular domain, GH1. They perform critical functions in determining the accessibility of chromatin DNA to trans-acting factors. In most metazoan species studied so far, linker histones are highly heterogenous, with numerous nonallelic variants cooccurring in the same cells. The phylogenetic relationships among these variants as well as their structural and functional properties have been relatively well established. This contrasts markedly with the rather limited knowledge concerning the phylogeny and structural and functional roles of an unusually diverse group of GH1-containing proteins in plants. The dearth of information and the lack of a coherent phylogeny-based nomenclature of these proteins can lead to misunderstandings regarding their identity and possible relationships, thereby hampering plant chromatin research. Based on published data and our in silico and high-throughput analyses, we propose a systematization and coherent nomenclature of GH1-containing proteins of Arabidopsis (Arabidopsis thaliana [L.] Heynh) that will be useful for both the identification and structural and functional characterization of homologous proteins from other plant species

SMX and front-end board tester for CBM readout chain

The STS-MUCH-XYTER (SMX) chip is a front-end ASIC dedicated to the readout of Silicon Tracking System (STS) and Muon Chamber (MUCH) detectors in the Compressed Baryonic Matter (CBM) experiment. The production of the ASIC and the front-end boards based on it is just being started and requires thorough testing to assure quality. The paper describes the SMX tester based on a standard commercial Artix-7 FPGA module with an additional simple baseboard. In the standalone configuration, the tester is controlled via IPbus and enables full functional testing of connected SMX, front-end board (FEB), or a full detector module. The software written in Python may easily be integrated with higher-level testing software