51 research outputs found
Higgs Phenomenology in the Minimal Dilaton Model after Run I of the LHC
The Minimal Dilaton Model (MDM) extends the Standard Model (SM) by a singlet
scalar, which can be viewed as a linear realization of general dilaton field.
This new scalar field mixes with the SM Higgs field to form two mass
eigenstates with one of them corresponding to the 125 GeV SM-like Higgs boson
reported by the LHC experiments. In this work, under various theoretical and
experimental constrains, we perform fits to the latest Higgs data and then
investigate the phenomenology of Higgs boson in both the heavy dilaton scenario
and the light dilaton scenario of the MDM. We find that: (i) If one considers
the ATLAS and CMS data separately, the MDM can explain each of them well, but
refer to different parameter space due to the apparent difference in the two
sets of data. If one considers the combined data of the LHC and Tevatron,
however, the explanation given by the MDM is not much better than the SM, and
the dilaton component in the 125-GeV Higgs is less than about 20% at 2 sigma
level. (ii) The current Higgs data have stronger constrains on the light
dilaton scenario than on the heavy dilaton scenario. (iii) The heavy dilaton
scenario can produce a Higgs triple self coupling much larger than the SM
value, and thus a significantly enhanced Higgs pair cross section at hadron
colliders. With a luminosity of 100 fb^{-1} (10 fb^{-1}) at the 14-TeV LHC, a
heavy dilaton of 400 GeV (500 GeV) can be examined. (iv) In the light dilaton
scenario, the Higgs exotic branching ratio can reach 43% (60%) at 2 sigma (3
sigma) level when considering only the CMS data, which may be detected at the
14-TeV LHC with a luminosity of 300 fb^{-1} and the Higgs Factory.Comment: 27 pages, 13 figures, discussions added, to appear in JHE
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Recently, end-to-end text spotting that aims to detect and recognize text
from cluttered images simultaneously has received particularly growing interest
in computer vision. Different from the existing approaches that formulate text
detection as bounding box extraction or instance segmentation, we localize a
set of points on the boundary of each text instance. With the representation of
such boundary points, we establish a simple yet effective scheme for end-to-end
text spotting, which can read the text of arbitrary shapes. Experiments on
three challenging datasets, including ICDAR2015, TotalText and COCO-Text
demonstrate that the proposed method consistently surpasses the
state-of-the-art in both scene text detection and end-to-end text recognition
tasks.Comment: Accepted to AAAI202
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GWAS Identifies Novel Susceptibility Loci on 6p21.32 and 21q21.3 for Hepatocellular Carcinoma in Chronic Hepatitis B Virus Carriers
Genome-wide association studies (GWAS) have recently identified KIF1B as susceptibility locus for hepatitis B virus (HBV)–related hepatocellular carcinoma (HCC). To further identify novel susceptibility loci associated with HBV–related HCC and replicate the previously reported association, we performed a large three-stage GWAS in the Han Chinese population. 523,663 autosomal SNPs in 1,538 HBV–positive HCC patients and 1,465 chronic HBV carriers were genotyped for the discovery stage. Top candidate SNPs were genotyped in the initial validation samples of 2,112 HBV–positive HCC cases and 2,208 HBV carriers and then in the second validation samples of 1,021 cases and 1,491 HBV carriers. We discovered two novel associations at rs9272105 (HLA-DQA1/DRB1) on 6p21.32 (OR = 1.30, P = 1.13×) and rs455804 (GRIK1) on 21q21.3 (OR = 0.84, P = 1.86×), which were further replicated in the fourth independent sample of 1,298 cases and 1,026 controls (rs9272105: OR = 1.25, P = 1.71×; rs455804: OR = 0.84, P = 6.92×). We also revealed the associations of HLA-DRB1*0405 and 0901*0602, which could partially account for the association at rs9272105. The association at rs455804 implicates GRIK1 as a novel susceptibility gene for HBV–related HCC, suggesting the involvement of glutamate signaling in the development of HBV–related HCC
Direct Phasing of Protein Crystals with Non-Crystallographic Symmetry
An iterative projection algorithm proposed previously for direct phasing of high-solvent-content protein crystals is extended to include non-crystallographic symmetry (NCS) averaging. For proper NCS, when the NCS axis is positioned, the molecular envelope can be automatically rebuilt. For improper NCS, when the NCS axis and the translation vector are known, the molecular envelope can also be automatically reconstructed. Some structures with a solvent content of around 50% could be directly solved using this ab initio phasing method. Trial calculations are described to illustrate the methodology. Real diffraction data are used and the calculated phases are good for automatic model building. The refinement of approximate NCS parameters is discussed
Resolution Dependence of an Ab Initio Phasing Method in Protein X-ray Crystallography
For direct phasing of protein crystals, a method based on the hybrid-input-output (HIO) algorithm has been proposed and tested on a variety of structures. So far, however, the diffraction data have been limited to high-resolution ones, i.e., higher than 2 Ã…. In principle, the methodology can be applied to data of lower resolutions, which might be particularly useful for phasing membrane protein crystals. For resolutions higher than 3.5 Ã…, it seems the atomic structure is solvable. For data of lower resolutions, information of the secondary structures and the protein boundary can still be obtained. Examples are given to support the conclusions. Real experimental data are used. Two aspects of the observed data have been discussed: removal of the measured low-resolution reflections and involvement of the unmeasured high-resolution reflections. The ab initio phasing employs histogram matching for density modification. A question arises whether the reference histogram used should match the resolution of the diffraction data or not. It seems that there is an optimal histogram which is good to use for data at various resolutions
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