Cu atoms and a hollow structure are helpful for the improvement of the MOR activity of Pt. Trace Ir atoms might promise a superior durability for the Pt-based catalysts while maintaining the MOR catalytic activity.

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The induction time of DH crystals is extended by the introduction of Cu2+.

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Large quantities of solid waste phosphogypsum (PG) not only occupy the farmland but also cause severe pollution to the surrounding environment. The most effective way to achieve a high-value utilization of PG is to prepare α-calcium sulfate hemihydrate (α-HH) with various morphologies. In this study, we developed a simple and Cl-free one-pot synthetic strategy to effectively transform PG into single-crystal α-HH regular hexagonal microplates (RHMPs) in Na 2 SO 4 aqueous solution at 98 °C assisted with sodium citrate (TSC). Na 2 SO 4 plays a role in accelerating the transformation rate, whereas TSC regulates the crystal habit of α-HH from rod to regular hexagonal plate. The rate of DH−α-HH transformation in aqueous solutions can be effectively controlled by regulating water activity (α H 2 O ), which decreases with the increase in Na 2 SO 4 concentration. Crystal habit control is attributed to the strong preferential adsorption of citrate ions to the ( 001) and ( 002) top facets of α-HH by chemical adsorption. The paste made from the obtained α-HH RHMPs deserves higher dry compressive/bending strength of 46.1/15.2 MPa, which is comparable with that of α-HH prepared by other methods. Our work provides a simple and low-corrosiveness strategy to transform PG into α-HH RHMPs with excellent mechanical property, thus showing great promise for a wide range of challenging reuse of solid waste in environmental protection.

This paper presents a semantic-guided interpolation scheme (SemFlow) to handle motion boundaries and occlusions in large displacement optical flow. The basic idea is to segment images into superpixels and estimate their homographies for interpolation. In order to ensure each superpixel can be approximated as a plane, a semantic-guided refinement method is introduced. Moreover, we put forward a homography estimation model weighted by the distance between each superpixel and its K-nearest neighbors. Our newly-proposed distance metric combines the texture and semantic information to find proper neighbors. Our homography model performs better than the original affine model, since it accords with the real world projection relationship. The experiments on KITTI dataset demonstrate that SemFlow outperforms other state-of-the-art methods, especially in solving the problem of large scale motions and occlusions.

Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based on edges is an important branch in the research of sparse stereo matching and plays an important role in visual navigation. In this paper, we propose a robust sparse stereo matching method based on the semantic edges. Some simple matching costs are used first, and then a novel adaptive dynamic programming algorithm is proposed to obtain optimal solutions. This algorithm makes use of the disparity or semantic consistency constraint between the stereo images to adaptively search parameters, which can improve the robustness of our method. The proposed method is compared quantitatively and qualitatively with the traditional dynamic programming method, some dense stereo matching methods, and the advanced edge-based method respectively. Experiments show that our method can provide superior performance on the above comparison.