4,660 research outputs found

    A dynamical model of the local cosmic expansion

    Full text link
    We combine the equations of motion that govern the dynamics of galaxies in the local volume with Bayesian techniques in order to fit orbits to published distances and velocities of galaxies within 3\sim 3 Mpc. We find a Local Group (LG) mass 2.3±0.7×1012M2.3\pm 0.7\times 10^{12}{\rm M}_\odot that is consistent with the combined dynamical masses of M31 and the Milky Way, and a mass ratio 0.540.17+0.230.54^{+0.23}_{-0.17} that rules out models where our Galaxy is more massive than M31 with 95%\sim 95\% confidence. The Milky Way's circular velocity at the solar radius is relatively high, 245±23245\pm 23 km/s, which helps to reconcile the mass derived from the local Hubble flow with the larger value suggested by the `timing argument'. Adopting {\it Planck}'s bounds on ΩΛ\Omega_\Lambda yields a (local) Hubble constant H0=67±5H_0=67\pm 5km/s/Mpc which is consistent with the value found on cosmological scales. Restricted N-body experiments show that substructures tend to fall onto the LG along the Milky Way-M31 axis, where the quadrupole attraction is maximum. Tests against mock data indicate that neglecting this effect slightly overestimates the LG mass without biasing the rest of model parameters. We also show that both the time-dependence of the LG potential and the cosmological constant have little impact on the observed local Hubble flow.Comment: 22 pages, 14 figures. Accepted to MNRAS. An error in the apex calculation (Appendix A) was found and has been fixed. The new constraints favour models where the Milky Way is less massive than M31. The rest of model parameters and conclusions remain unchange

    Edscottite, Fe_5C_2, a New Iron Carbide Mineral from the Wedderburn Iron Meteorite

    Get PDF
    The Wedderburn iron meteorite, found as a single 210-g mass in Victoria, Australia in 1951, is a Ni-rich ataxite belonging to subgroup sLH of the IAB complex (Low-Au, High-Ni subgroup). It is one of the most Ni-rich irons known (23.4 wt.% Ni [1]), initially classified as group IIID. During a re-investigation of a polished thick section of Wedderburn, we identified a new iron-carbide mineral, Fe5C2 with the C2/c Pd5B2-type structure, named “edscottite” (Fig. 1). Field-emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, electron back-scatter diffraction (EBSD) and electron probe microanalysis (EPMA) were used to characterize edscottite and associated phases. This mineral was first identified in Wedderburn [2,3]; synthetic Fe_5C_2 was previously known (e.g., [4-6]). We report here the first natural occurrence of Fe_5C_2 in an iron meteorite as a new carbide mineral. Edscottite (IMA 2018-086a) was approved by the IMA-CNMNC [7]. The mineral name is in honor of Edward (Ed) R. D. Scott, University of Hawai‘i, USA, for his seminal contributions to meteorite research. He discovered haxonite, (Fe,Ni)_(23)C_6 [8] as well as this new iron carbide [2,3]

    Multi-Context Attention for Human Pose Estimation

    Full text link
    In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation. We adopt stacked hourglass networks to generate attention maps from features at multiple resolutions with various semantics. The Conditional Random Field (CRF) is utilized to model the correlations among neighboring regions in the attention map. We further combine the holistic attention model, which focuses on the global consistency of the full human body, and the body part attention model, which focuses on the detailed description for different body parts. Hence our model has the ability to focus on different granularity from local salient regions to global semantic-consistent spaces. Additionally, we design novel Hourglass Residual Units (HRUs) to increase the receptive field of the network. These units are extensions of residual units with a side branch incorporating filters with larger receptive fields, hence features with various scales are learned and combined within the HRUs. The effectiveness of the proposed multi-context attention mechanism and the hourglass residual units is evaluated on two widely used human pose estimation benchmarks. Our approach outperforms all existing methods on both benchmarks over all the body parts.Comment: The first two authors contribute equally to this wor

    Who Sells Better? Digital Human Presenter Versus Cartoon AI Presenter in E-commerce Live-Streaming

    Get PDF
    AI technology has been introduced on e-commerce live-streaming as a substitute for human presenters who are expensive and constrained by work time. However, the cartoon avatar AI presenters that are commonly used today are less effective in driving sales. We propose that increasing human likeness is a practical method to boost sales, particularly for products with hedonic values and rich sensory attributes. The results show that a digital human presenter (an AI agent with a highly human realistic face and voice) sold better compared to a cartoon avatar presenter across a range of different types of products and that this effect is driven both by affect (by increasing positive emotions) and cognition (by improving product quality evaluations). We extend current research on AI agent design to the live-streaming context and show that the highly realistic appearance of digital humans, as a powerful design, can enhance positive consumer responses to AI agents through two parallel theoretical routes (emotional and cognitive). These results can help e-commerce platforms and brands improve their AI technology and obtain expected business benefits

    Why using more fertiliser and feed does not necessarily raise dairy farm profits but increases climate harm

    Get PDF
    New Zealand is in an unusual position in the developed world when it comes to greenhouse gas emissions. About half of all emissions come from agriculture, and almost a quarter can be attributed to biological emissions (nitrous oxide and methane) from the dairy sector

    RGS10 shapes the hemostatic response to injury through its differential effects on intracellular signaling by platelet agonists.

    Get PDF
    Platelets express ≥2 members of the regulators of G protein signaling (RGS) family. Here, we have focused on the most abundant, RGS10, examining its impact on the hemostatic response in vivo and the mechanisms involved. We have previously shown that the hemostatic thrombi formed in response to penetrating injuries consist of a core of fully activated densely packed platelets overlaid by a shell of less-activated platelets responding to adenosine 5\u27-diphosphate (ADP) and thromboxane A2 (TxA2). Hemostatic thrombi formed in RGS10-/- mice were larger than in controls, with the increase due to expansion of the shell but not the core. Clot retraction was slower, and average packing density was reduced. Deleting RGS10 had agonist-specific effects on signaling. There was a leftward shift in the dose/response curve for the thrombin receptor (PAR4) agonist peptide AYPGKF but no increase in the maximum response. This contrasted with ADP and TxA2, both of which evoked considerably greater maximum responses in RGS10-/- platelets with enhanced Gq- and Gi-mediated signaling. Shape change, which is G13-mediated, was unaffected. Finally, we found that free RGS10 levels in platelets are actively regulated. In resting platelets, RGS10 was bound to 2 scaffold proteins: spinophilin and 14-3-3γ. Platelet activation caused an increase in free RGS10, as did the endothelium-derived platelet antagonist prostacyclin. Collectively, these observations show that RGS10 serves as an actively regulated node on the platelet signaling network, helping to produce smaller and more densely packed hemostatic thrombi with a greater proportion of fully activated platelets
    corecore