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  • br Experimental design materials and methods

    2018-11-14


    Experimental design, materials and methods IgM heavy chain variable domain-encoding gene repertoires were isolated by RT-PCR from transcriptomes of PB and BM collected out of season of most seasonal crf hormone from six allergic subjects [3]. Ethical approval and informed consent had been obtained from all donors. Sequencing was performed using the 2 × 300bp MiSeq technology (Illumina, Inc., San Diego, CA, USA) at the National Genomics Infrastructure (SciLifeLab, Stockholm, Sweden) [3]. Details of sequence output and availability are outlined in Table 1. Data was pre-processed using pRESTO [4] and Change-O [5] as summarized in Fig. 1 in Ref. [1]. Germline gene inference was performed using TIgGER [6] and IgDiscover [7]. Additional bioinformatics analysis was performed as outlined elsewhere [1] including analysis performed using GIgGle (release 0.2) that is available under Apache License at https://github.com/ukirik/giggle. Immunoglobulin gene names and sequence numbering complies with the nomenclature defined by the International ImMunoGeneTics information system® (IMGT) (http://www.imgt.org) [8,9].
    Acknowledgements The collection and analysis of the data set was supported by Lund University (ALF), the Swedish Research Council (Grant number 2016-01720), the Crafoord Foundation. Science for Life Laboratory, the Knut and Alice Wallenberg Foundation, the National Genomics Infrastructure funded by the Swedish Research Council, and Uppsala Multidisciplinary Center for Advanced Computational Science assisted with NGS and access to the UPPMAX computational infrastructure.
    Data The Hall carrier density n and Hall mobility μ are obtained from the isothermal Hall resistivity ρ(H) and electrical resistivity ρ measurements using the relations of , , and , respectively. Seebeck coefficient is measured by thermoelectric measurement system (ZEM-3, ULVAC, Japan). TEM images (High Resolution images/STEM/ED pattern) were collected using a JEOL 2100F at 200kV. Energy dispersive x-ray spectrometer (EDS) analysis were obtained using Oxford Instruments (INCA platform) detector equipped on JEOM 2100F. Thermal diffusivity measurement is carried out by thermal conductivity measurement system (LFA-447, NETZSCH, Germany). Heat capacity is obtained from the Dulong-Petit fit using physical properties measurement system (PPMS Dynacool 14T, Quantum Design, USA).
    Experimental design, materials and methods The Table 1 presents the theoretical density, measured volumetric density, relative density, and specific heat of the compounds. The measured volumetric densities D are all more than 96% of the theoretical densities D, and the specific heat C is increased with the increase of Se concentration, which is calculated by using the equation C/k per atom=3.07+4.7×10−4 (T/K−300) by fitting experimental data. Hall carrier concentrations n of the compounds are decreased with increasing temperature as shown in Fig. 1(a). The Hall carrier concentration is not sensitive with Se concentration in the (PbTe)(PbSe)x(PbS)0.05 (x=0.1, 0.15, 0.2, and 0.35) compounds. Hall carrier mobilities are decreased with increasing Se concentration except x=0.35 case as presented in Fig. 1(b). The power factor Sσ of the pristine PbTe shows broad peak near 657K for maximum value of 250mWm−1K−2, presented in Fig. 2. The (PbTe)0.84(PbSe)0.07(PbS)0.07 compound exhibits highest power factor 287mWm−1K−2. Our work for (PbTe)(PbSe)x(PbS)0.05 (x=0.2, green diamond) is little bit decreased comparing with the state-of-the-art value of power factor. The Pisaranko plot in Fig. 3 shows that the experiment results are deviated from the single parabolic model, indicating that the Seebeck coefficient is influenced by two band (light-band and heavy band) model. The thermal diffusivity in Fig. 4 is decreased with the increase of Se concentration. The thermal diffusivities are decreased with increasing temperature. The lattice thermal conductivities, shown in Fig. 5(a), in this work are significantly lower than that calculated by using the alloy model of PbTe–PbSe–PbS and PbTe–PbSe, and it is also much reduced comparing with the previous reports by the nano-structuring as well as alloying scattering which is shown in Fig. 5(b).