528 research outputs found

    Theoretical and Experimental Research on CO2 Electrical Heating Pool Boiling Heat Transfer Outside a Horizontal Tube

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    Numerical simulation on electrical heating pool boiling heat transfer with CO2 as refrigerant outside a horizontal tube is carried. A voltage-controlled heating method has been used in the experiment, with the advantages of good stability and adjustability of the experimental heat flux density. After a series of preliminary calculation and pre-work, numerical simulation is carried based on a software FLUENT. Bubble behaviors are observed, the distribution regularity of volume fraction of vapor is obtained and compared with the experimental results. The results show that numerical simulation and experimental results are in good agreement. Furthermore, by changing the heat flux density, the comparison of velocity on center location of experimental tube is analyzed. Varying pattern is satisfying. Evidently, for velocity, the simulation values are relatively higher and the data locate in the range of 1.40~1.52 times higher than the experimental data. This paper makes useful exploration of CO2 pool boiling heat transfer and the design of evaporator

    Joint Motion Deblurring and Superresolution from Single Blurry Image

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    Currently superresolution from a motion blurred image still remains a challenging task. The conventional approach, which preprocesses the blurry low resolution (LR) image with a deblurring algorithm and employs a superresolution algorithm, has the following limitation. The high frequency texture of the image is unavoidably lost in the deblurring process and this loss restricts the performance of the subsequent superresolution process. This paper presents a novel technique that performs motion deblurring and superresolution jointly from one single blurry image. The basic idea is to regularize the ill-posed reconstruction problem using an edge-preserving gradient prior and a sparse kernel prior. This method derives from an inverse problem approach under an efficient optimization scheme that alternates between blur kernel estimation and superresolving until convergence. Furthermore, this paper proposes a simple and efficient refinement formulation to remove artifacts and render better deblurred high resolution (HR) images. The improvements brought by the proposed combined framework are demonstrated by the processing results of both simulated and real-life images. Quantitative and qualitative results on challenging examples show that the proposed method outperforms the existing state-of-the-art methods and effectively eliminates motion blur and artifacts in the superresolved image

    Di-μ-oxido-bis­[(4-formyl-2-methoxy­phenolato-κO 1)oxido(1,10-phenan­throline-κ2 N,N′)vanadium(V)]

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    The title complex, [V2(C8H7O3)2O4(C12H8N2)2], is a centrosymmetric dimer formed by two VV complex units bridged by two μ2-oxido groups. The VV atom is six-coordinated by three oxide O atoms, one O atom from a vanillinate ligand and two N atoms from a 1,10-phenanthroline ligand in a significantly distorted octa­hedral geometry. In the crystal structure, weak inter­molecular C—H⋯O hydrogen bonds connect the mol­ecules into a three-dimensional network

    (Methoxo-κO)oxidobis(quinolin-8-olato-κ2 N,O)vanadium(V)

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    In the title complex, [V(C9H6NO)2(CH3O)O], the central VV atom is coordinated by the O atoms from the oxido and methoxo ligands and the N and O atoms of two bis-chelating quinolin-8-olate ligands, forming a distorted octa­hedral environment. In the crystal structure, weak inter­molecular C—H⋯O hydrogen bonds connect mol­ecules into centrosymmetric dimers which are, in turn, linked by weak C—H⋯π inter­actions into chains along the b axis

    Factors Affecting Trust in Chinese Digital Journalism: Approach Based on Folk Theories

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    Trust in online digital news has become a significant concern affecting social cohesion in China. Under the framework of folk theories, we interviewed urban and rural residents' perceptions and imaginations of digital news credibility in China's digital journalism environment. The study finds that digital media giants in China are utilised by both urban and rural residents. Regarding the behaviour of news avoidance, scepticism of digital news accounts for only a tiny fraction of the reasons held by news avoiders. Chinese urban and rural residents have similar perceptions about the impact of news forms, quality of information, and individual stances on digital news, while rural residents show uncertainty about the transparency of news production, which may be related to their education level and media literacy. The relationship between recommendation algorithms and news trust is overlooked by respondents. In addition, news seekers are more likely to display herd behaviours, which may mislead their judgment of news credibility. News avoiders may refuse to consume news because of their distaste for China's digital news atmosphere, such as the ubiquity of unpleasant emotions, preconceived opinions, and attention-grabbing clickbait headlines
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