3,874 research outputs found

    Revisiting the Ω(2012)\Omega(2012) as a hadronic molecule and its strong decays

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    Recently, the Belle collaboration measured the ratios of the branching fractions of the newly observed Ω(2012)\Omega(2012) excited state. They did not observe significant signals for the Ω(2012)KˉΞ(1530)KˉπΞ\Omega(2012) \to \bar{K} \Xi^*(1530) \to \bar{K} \pi \Xi decay, and reported an upper limit for the ratio of the three body decay to the two body decay mode of Ω(2012)KˉΞ\Omega(2012) \to \bar{K} \Xi. In this work, we revisit the newly observed Ω(2012)\Omega(2012) from the molecular perspective where this resonance appears to be a dynamically generated state with spin-parity 3/23/2^- from the coupled channels interactions of the KˉΞ(1530)\bar{K} \Xi^*(1530) and ηΩ\eta \Omega in ss-wave and KˉΞ\bar{K} \Xi in dd-wave. With the model parameters for the dd-wave interaction, we show that the ratio of these decay fractions reported recently by the Belle collaboration can be easily accommodated.Comment: Published version. Published in Eur.\ Phys.\ J.\ C {\bf 80}, 361 (2020

    A modified EM algorithm for hand gesture segmentation in RGB-D data

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    Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes

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    Humans have long been recorded in a variety of forms since antiquity. For example, sculptures and paintings were the primary media for depicting human beings before the invention of cameras. However, most current human-centric computer vision tasks like human pose estimation and human image generation focus exclusively on natural images in the real world. Artificial humans, such as those in sculptures, paintings, and cartoons, are commonly neglected, making existing models fail in these scenarios. As an abstraction of life, art incorporates humans in both natural and artificial scenes. We take advantage of it and introduce the Human-Art dataset to bridge related tasks in natural and artificial scenarios. Specifically, Human-Art contains 50k high-quality images with over 123k person instances from 5 natural and 15 artificial scenarios, which are annotated with bounding boxes, keypoints, self-contact points, and text information for humans represented in both 2D and 3D. It is, therefore, comprehensive and versatile for various downstream tasks. We also provide a rich set of baseline results and detailed analyses for related tasks, including human detection, 2D and 3D human pose estimation, image generation, and motion transfer. As a challenging dataset, we hope Human-Art can provide insights for relevant research and open up new research questions.Comment: CVPR202

    HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation

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    Controllable human image generation (HIG) has numerous real-life applications. State-of-the-art solutions, such as ControlNet and T2I-Adapter, introduce an additional learnable branch on top of the frozen pre-trained stable diffusion (SD) model, which can enforce various conditions, including skeleton guidance of HIG. While such a plug-and-play approach is appealing, the inevitable and uncertain conflicts between the original images produced from the frozen SD branch and the given condition incur significant challenges for the learnable branch, which essentially conducts image feature editing for condition enforcement. In this work, we propose a native skeleton-guided diffusion model for controllable HIG called HumanSD. Instead of performing image editing with dual-branch diffusion, we fine-tune the original SD model using a novel heatmap-guided denoising loss. This strategy effectively and efficiently strengthens the given skeleton condition during model training while mitigating the catastrophic forgetting effects. HumanSD is fine-tuned on the assembly of three large-scale human-centric datasets with text-image-pose information, two of which are established in this work. As shown in Figure 1, HumanSD outperforms ControlNet in terms of accurate pose control and image quality, particularly when the given skeleton guidance is sophisticated

    Diaqua­bis(2-methyl-1H-imidazol-3-ium-4,5-dicarboxyl­ato-κ2 O,O′)magnesium

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    The title compound, [Mg(C6H5N2O4)2(H2O)2], was prepared by reaction of Mg(NO3)2 and 2-methyl-1H-imidazole-4,5-dicarboxylic acid under hydro­thermal conditions. The MgII atom lies on an inversion centre and displays a distorted octa­hedral coordination geometry. An extended three-dimensional network of inter­molecular O—H⋯O and N—H⋯O hydrogen bonds stabilizes the crystal structure

    Synaptophysin Expression in Rat Retina Following Acute High Intraocular Pressure

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    In response to injury, synapse alteration may occur earlier than the changes in the cell body of neurons. Although retinal ganglion cell death and thinning of the inner part of retina were found after acute high intraocular pressure (HIOP), the structural and functional changes of synapses in the retina remain unknown. In the present study, we investigated the protein and mRNA expression of synaptophysin (SYN), an important molecule closely related to synaptic activities, synaptogenesis and synaptic plasticity. In addition, we also studied the ultrastructural changes of the retinal synapses. We found that (1) synaptophysin was upregulated transiently at both protein and mRNA level following HIOP; (2) broadened distribution of synaptophysin protein was present within the outer nuclear layer at the early stage following HIOP; (3) in the outer nuclear layer bouton-like vesicle-containing structures were observed by electron microscopy. This data suggested that, besides degeneration, synapses in rat retina may undergo regenerative events following HIOP

    Pixel histogram based background modeling for moving target detection

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    The Integration of Nanomedicine with Traditional Chinese Medicine: Drug Delivery of Natural Products and Other Opportunities

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    The integration of progressive technologies such as nanomedicine with the use of natural products from traditional medicine (TM) provides a unique opportunity for the longed-for harmonization between traditional and modern medicine. Although several actions have been initiated decades ago, a disparity of reasons including some misunderstandings between each other limits the possibilities of a truly complementation. Herein, we analyze some common challenges between nanomedicine and traditional Chinese medicine (TCM). These challenges, if solved in a consensual way, can give a boost to such harmonization. Nanomedicine is a recently born technology, while TCM has been used by the Chinese people for thousands of years. However, for these disciplines, the regulation and standardization of many of the protocols, especially related to the toxicity and safety, regulatory aspects, and manufacturing procedures, are under discussion. Besides, both TCM and nanomedicine still need to achieve a wider social acceptance. Herein, we first briefly discuss the strengths and weaknesses of TCM. This analysis serves to focus afterward on the aspects where TCM and nanomedicine can mutually help to bridge the existing gaps between TCM and Western modern medicine. As discussed, many of these challenges can be applied to TM in general. Finally, recent successful cases in scientific literature that merge TCM and nanomedicine are reviewed as examples of the benefits of this harmonization
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