The p–n heterojunction BiOI/BiOCOOH photocatalyst with enhanced visible light photocatalytic activity was synthesized by an in situ ion exchange strategy.

The effects of dioctyl phthalate and inorganic filler, mica, on the sound insulation property of poly(vinyl chloride) (PVC) were investigated in this work. The stiffness and mass laws, which are the common theoretic tools to predict the soundproof properties of materials, were used to analyze the sound transmission loss (STL). The experimental results revealed that the stiffness and mass laws can describe well the sound insulation property of PVC/mica composites. The stiffness and surface density are important factors influencing the improve-ment of STL. With the increase of content of mica, STL and resonance frequency, f mn , of PVC/mica composites increase. Moreover, the change of STL in the stiffnesscontrolled region is more obvious than that in the masscontrolled region, because the addition of mica in PVC leads to a greater increase in the stiffness.

In this paper, the analysis of optimal locations of framed-tube structures with outriggers is conducted with the uniform and nonuniform core and peripheral columns using genetic algorithm, aiming to minimize the interstory drift. Also, comparison and difference of the results between the uniform and nonuniform structures are carried out and discussed. Besides, several parameters which influence the behavior of the structure are identified and analyzed, such as different objective functions, segments of outriggers, thickness of core wall, stiffness of outriggers, and grade of concrete strength. In addition, a Matlab program is written to perform the parameter analysis of optimal location of outriggers. Take a 260-m high-rise building as a target building, the optimal locations of one to two sets of outriggers subjected to three kinds of horizontal loadings (uniform, parabolic, and triangular) are obtained and can be utilized for the structural preliminary design of tall buildings. KEYWORDSframed-tube building, outrigger-braced system, lateral loadings, interstory drift, optimum design, genetic algorithm

Inspired by nature, superhydrophobic surfaces have attracted increasing research interest owing to the wide range of applications such as fluid drag reduction, corrosion resistance, and self-cleaning [1][2][3][4]. Developments in designing and preparing superhydrophobic surfaces have shown promising anti-icing performance [5], creating an opportunity to prevent the wings of aircraft or electrical insulators from icing [6,7]. Today, superhydrophobic surfaces can be generated by techniques such as templating, colloidal assembly, physical vapour deposition, chemical vapour deposition, hydrothermal, electrochemical deposition, etching, plasma treatment, and laser processing [8,9]. Among these methods, laser processing is a

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With the promising progress of deep neural networks, layer aggregation has been used to fuse information across layers in various fields, such as computer vision and machine translation. However, most of the previous methods combine layers in a static fashion in that their aggregation strategy is independent of specific hidden states. Inspired by recent progress on capsule networks, in this paper we propose to use routing-by-agreement strategies to aggregate layers dynamically. Specifically, the algorithm learns the probability of a part (individual layer representations) assigned to a whole (aggregated representations) in an iterative way and combines parts accordingly. We implement our algorithm on top of the state-of-the-art neural machine translation model TRANSFORMER and conduct experiments on the widely-used WMT14 English⇒German and WMT17 Chinese⇒English translation datasets. Experimental results across language pairs show that the proposed approach consistently outperforms the strong baseline model and a representative static aggregation model.

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