3,162 research outputs found
Scene Graph Generation with External Knowledge and Image Reconstruction
Scene graph generation has received growing attention with the advancements
in image understanding tasks such as object detection, attributes and
relationship prediction,~\etc. However, existing datasets are biased in terms
of object and relationship labels, or often come with noisy and missing
annotations, which makes the development of a reliable scene graph prediction
model very challenging. In this paper, we propose a novel scene graph
generation algorithm with external knowledge and image reconstruction loss to
overcome these dataset issues. In particular, we extract commonsense knowledge
from the external knowledge base to refine object and phrase features for
improving generalizability in scene graph generation. To address the bias of
noisy object annotations, we introduce an auxiliary image reconstruction path
to regularize the scene graph generation network. Extensive experiments show
that our framework can generate better scene graphs, achieving the
state-of-the-art performance on two benchmark datasets: Visual Relationship
Detection and Visual Genome datasets.Comment: 10 pages, 5 figures, Accepted in CVPR 201
Terahertz Atmospheric Windows for High Angular Resolution Terahertz Astronomy from Dome A
Atmospheric transmission from Dome A, Antarctica, presents new possibilities
in the field of terahertz astronomy, where space telescopes have been the only
observational tools until now. Using atmospheric transmission measurements from
Dome A with a Fourier transform spectrometer, transmission spectra and
long-term stabilities have been analyzed at 1.461 THz, 3.393 THz, 5.786 THz and
7.1 THz, which show that important atmospheric windows for terahertz astronomy
open for a reasonable length of time in the winter season. With large aperture
terahertz telescopes and interferometers at Dome A, high angular resolution
terahertz observations are foreseen of atomic fine-structure lines from ionized
gas and a water ice feature from protoplanetary disks.Comment: 6 pages, 3 figures, to appear in Advances in Polar Scienc
Sound speed resonance of the stochastic gravitational wave background
We propose a novel mechanism to test time variation of the propagation speed
of gravitational waves (GWs) in light of GWs astronomy. As the stochastic GWs
experience the whole history of cosmic expansion, they encode potential
observational evidence of such variation. We report that, one feature of a
varying GWs speed is that the energy spectrum of GWs will present
resonantly-enhanced peaks if the GWs speed oscillates in time at high-energy
scales. Such oscillatory behaviour arises in a wide class of modified gravity
theories. The amplitude of these peaks can be at reach by current and
forthcoming GWs instruments, hence making the underlying theories falsifiable.
This mechanism reveals that probing the variation of GWs speed can be a
promising way to search for new physics beyond general relativity.Comment: 6 pages, 2 figure
AMPK and TOR:the Yin and Yang of cellular nutrient sensing and growth control
The AMPK (AMP-activated protein kinase) and TOR (target-of-rapamycin) pathways are interlinked, opposing signaling pathways involved in sensing availability of nutrients and energy and regulation of cell growth. AMPK (Yin, or the "dark side") is switched on by lack of energy or nutrients and inhibits cell growth, while TOR (Yang, or the "bright side") is switched on by nutrient availability and promotes cell growth. Genes encoding the AMPK and TOR complexes are found in almost all eukaryotes, suggesting that these pathways arose very early during eukaryotic evolution. During the development of multicellularity, an additional tier of cell-extrinsic growth control arose that is mediated by growth factors, but these often act by modulating nutrient uptake so that AMPK and TOR remain the underlying regulators of cellular growth control. In this review, we discuss the evolution, structure, and regulation of the AMPK and TOR pathways and the complex mechanisms by which they interact
Delayed response to the photovoltaic performance in a double quantum dot photocell with spatially correlated fluctuation
A viable strategy for enhancing photovoltaic performance in a double quantum
dot (DQD) photocell is to comprehend the underlying quantum physical regime of
charge transfer. This work explores the photovoltaic performance dependent
spatially correlated fluctuation in a DQD photocell. A suggested DQD photocell
model was used to examine the effects of spatially correlated variation on
charge transfer and output photovoltaic efficiency. The charge transfer process
and the process of reaching peak solar efficiency were both significantly
delayed as a result of the spatially correlated fluctuation, and the
anti-spatial correlation fluctuation also resulted in lower output photovoltaic
efficiency. Further results revealed that some structural parameters, such as
gap difference and tunneling coefficient within two dots, could suppress the
delayed response, and a natural adjustment feature was demonstrated on the
delayed response in this DQD photocell model. Subsequent investigation verified
that the delayed response was caused by the spatial correlation fluctuation,
which slowed the generative process of noise-induced coherence, which had
previously been proven to improve quantum photovoltaic performance in quantum
photocells. While anti-spatial correlation fluctuation and a hotter thermal
ambient environment could diminish the condition for noise-induced coherence,
as demonstrated by the reduced photovoltaic capabilities in this suggested DQD
photocell model. As a result, we expect that regulated noise-induced coherence,
via spatially correlated fluctuation, will have a major impact on photovoltaic
qualities in a DQD photocell system. The discovery of its underlying physical
regime of quantum fluctuation will broaden and deepen understanding of quantum
features of electron transfer, as well as provide some indications concerning
quantum techniques for high efficiency DQD solar cells.Comment: 16 pages, 5 figure
The Viscoelasticity Model of Corn Straw under the Different Moisture Contents
Viscoelastic model of corn straw, based on different moisture contents, is set up to characterise the deformation through three-point bending test. The model contains a linear elastic element, a damping element, and a nonlinear elastic element. The parameters of the model are determined according to the features of three-point bending test curve and characteristic of the model. The relationships between mechanical properties, energy absorption behavior of corn stalk, and moisture content have been, respectively, analysed. And regression analysis and curve fitting have been conducted based on various parameters and moisture contents with Matlab. These parameters provide the basis for straw crushing equipment design
3,3′-Dimethyl-1,1′-[(1,3-dihydroxypropane-2,2-diyl)dimethylidene]diimidazolium bis(hexafluorophosphate)
The title compound, C13H22N4O2
2+·2PF6
−, was prepared by the anion exchange of the dibromide ionic liquid with potassium hexafluorophosphate. The two imidazole rings are each planar (r.m.s. deviations = 0.0016 and 0.0060 Å) and make a dihedral angle of 45.3 (18)°. Intramolecular O—H⋯F hydrogen bonds occur. Intermolecular C—H⋯F, O—H⋯O and C—H⋯O hydrogen bonds stabilize the crystal structure
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