3,500 research outputs found

    Scene Graph Generation with External Knowledge and Image Reconstruction

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    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

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    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

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    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

    Photoexcited carriers transfer properties in a doped double quantum dots photocell

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    Identifying the behavior of photoexcited carriers is one method for empirically boosting their transfer efficiencies in doped double quantum dots (DQDs) photocells. The photoexcited carriers transfer qualities were assessed in this study by the output current, power, and output efficiency in the multi-photon absorption process for a doped DQDs photocell, and an optimization technique is theoretically obtained for this proposed photocell model. The results show that some structure parameters caused by doping, such as gaps, incoherent tunneling coupling, and symmetry of structure between two vertically aligned QDs, can remarkably control the photoexcited carriers transfer properties, and that slightly increasing the ambient temperature around room temperature is beneficial to the transfer performance in this doping DQDs photocell model. Thus, our scheme proves a way to optimized strategies for DQDs photocell.Comment: 10 pages, 6 figure

    AMPK and TOR:the Yin and Yang of cellular nutrient sensing and growth control

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    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

    Differentiation of correlated fluctuations in site energy on excitation energy transfer in photosynthetic light-harvesting complexes

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    One of the promising approaches to revealing the photosynthetic efficiency of close to one unit is to investigate the quantum regime of excitation energy transfer (EET). The majority of studies, however, have concluded that different pigment molecules contribute equally to EET, rather than differently. We investigate the roles of different site-energies in EET by evaluating the correlated fluctuations of site-energies in two adjacent pigment molecules (namely Site 1 and Site 2), and we attempt to demonstrate different site roles in EET with the j-V characteristics and power via a photosynthetic quantum heat engine (QHE) model rather than an actual photosynthetic protein. The results show that fluctuations at Site 1 (the pigment molecule absorbing solar photons) provide ascending and then descending EET. At Site 2, the EET is reduced through the use of correlated fluctuation increments (the pigment molecule acting as the charge-transfer excited state). Furthermore, when investigating the correlated fluctuations at Site 2, the different gap differences of the output terminal play a positive role in EET, but a sharply decreasing EET process is also achieved with less correlated fluctuations at Site 2 compared to those at Site 1.The findings show that different pigment molecules contribute differently to EET. The significance of this work is that it not only clarifies the roles of different pigment molecules in EET, but it also deepens our understanding of the fundamental physics of EET as it transports through the molecular chain in photosynthetic light-harvesting complexes. Furthermore, the results are appropriate to the EET in organic semiconductors, photovoltaic devices, and quantum networks, when these systems couple to the environment of photons via the vibrational motion of sites in the molecular chain.Comment: 14 pages, 7 figure

    Delayed response to the photovoltaic performance in a double quantum dot photocell with spatially correlated fluctuation

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    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
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