24,748 research outputs found

    A 2 h periodic variation in the low-mass X-ray binary Ser X-1

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    Spectroscopy of the low-mass X-ray binary Ser X-1 using the Gran Telescopio Canarias have revealed a ?2 h periodic variability that is present in the three strongest emission lines. We tentatively interpret this variability as due to orbital motion, making it the first indication of the orbital period of Ser X-1. Together with the fact that the emission lines are remarkably narrow, but still resolved, we show that a main-sequence K dwarf together with a canonical 1.4 M? neutron star gives a good description of the system. In this scenario, the most likely place for the emission lines to arise is the accretion disc, instead of a localized region in the binary (such as the irradiated surface or the stream-impact point), and their narrowness is due instead to the low inclination (?10°) of Ser X-1

    Genome-wide p-values of nine multivariate IgG glycan GWAS

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    Whole-genome multivariate association results for nine groups of IgG N-glycosylation phenotypes. For the detailed definition of the glycan groups, please refer to Shen et al. (2017) Nature Communications: "Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation". If you use this dataset, please cite the paper in order to fairly acknowledge the contribution of all participating studies and their sponsors. GWAS: Genome-wide association study. SNP: Single nucleotide polymorphism. The text files are tab-delimited and contain genome-wide SNP names and MANOVA test p-values for the discovery cohort

    A two-layer numerical model for simulating the frontal plowing phenomenon of flow-like landslides

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    Many flow-like landslides entrain material from their paths during motion. At the flow front and along the lateral margins the sliding mass can plow into the path material pushing or entraining the existing soil. Although plowing can be a dominant mechanism for landslide mobility, little attention has been paid to this phenomenon in comparison with other entraining mechanism such as basal scouring. Therefore, establishing a suitable mathematical description is still a challenge. In this paper, a two-layer finite difference model is proposed to simulate frontal plowing. The frontal erodible mass and the sliding mass are simplified as two separate layers based on the assumption that they are immiscible in their propagation processes. The interaction (i.e., thrusting and shear) between the two layers is simulated by the normal force and shear force acting on the two-layer interface. The governing equations for the two-layer model are deduced from the mass and momentum conservations of a soil column and transformed into a finite difference form for numerical solving. Then the proposed model is tested in the back analysis of the Ximiaodian landslide which is a typical loess flow-like landslide located at the south bank of the Jing River, China. The modeling results show that frontal plowing has significant influence on the propagation of this landslide, especially on the final topography of the deposit. Without considering this effect, the thickness of the final deposit tends to be underestimated, while the propagation duration, area and distance are likely to be overestimated. The proposed model can provide more accurate and reliable simulations for rapid flow-like landslides with frontal plowing phenomenon
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