The Experts below are selected from a list of 346644 Experts worldwide ranked by ideXlab platform
Zhongmin Liu - One of the best experts on this subject based on the ideXlab platform.
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Synthesis of SAPO-34 with only Si(4Al) species: Effect of Si contents on Si incorporation mechanism and Si coordination environment of SAPO-34
Microporous and Mesoporous Materials, 2008Co-Authors: Yingxu Wei, Yingli Wang, Xinzhi Zhang, Zhongmin LiuAbstract:SAPO-34 molecular sieves with different Si coordination environment were synthesized by adjusting SiO2/Al2O3 molar ratio in starting gel. The crystal Structure, Element composition and Si coordination environment of the as-synthesized samples were characterized by XRD, SEM, XRF and NMR. SAPO-34 molecular sieve could be obtained when the SiO2/Al2O3 molar ratio of the starting gel was higher than 0.075. The content and modeling of Si incorporated into SAPO-34 framework varied with the SiO2/Al2O3 molar ratios in the starting gel and different Si chemical environments were formed correspondingly. SAPO-34 with only Si(4Al) coordination Structure could be prepared when the SiO2/Al2O3 molar ratio of the starting gel was in range of 0.075-0.15. (c) 2008 Elsevier Inc. All rights reserved.
Ling Jiang - One of the best experts on this subject based on the ideXlab platform.
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a novel vehicle detection method with high resolution highway aerial image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013Co-Authors: Zezhong Zheng, Guoqing Zhou, Yong Wang, Xiaowen Li, Xiaoting Wang, Ling JiangAbstract:A robust and efficient vehicle detection method from high resolution aerial image is still challenging. In this paper, a novel and robust method for automatic vehicle detection using aerial images over highway was presented. In the method, a GIS road vector map was used to constrain the vehicle detection system to the highway networks. After the morphological Structure Element was identified, we utilized the grayscale opening transformation and grayscale top-hat transformation to identify hypothesis vehicles in the light or white background, and used the grayscale closing transformation and grayscale bot-hat transformation to identify the hypothesis vehicles in the black or dark background. Then, targets with large size or covering a large area were sieved from the hypothesis vehicles using an area threshold that is much larger than a typical vehicle. Targets, whose width is narrower than the diameter of Structure Element utilized in the grayscale morphological transformation, were smoothed out from the hypothesis vehicles using binary morphological opening transformation. Finally, the hypothesis vehicles detected in both cases were overlaid. It should be noted that in the detection system, a vehicle could be detected twice by the two approaches. The two identical hypothesis vehicles should be amalgamated into a single one for accuracy assessment subsequently. We tested our system on seventeen highway scenes of aerial images with a spatial resolution of 0.15 × 0.15 m. The experimental results showed that the correctness, completeness, and quality rates of the proposed vehicle detection method were about 98%, 93%, and 92%, respectively. Thus, our proposed approach is robust and efficient to detect vehicles of highway using high resolution aerial images.
Yingxu Wei - One of the best experts on this subject based on the ideXlab platform.
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Synthesis of SAPO-34 with only Si(4Al) species: Effect of Si contents on Si incorporation mechanism and Si coordination environment of SAPO-34
Microporous and Mesoporous Materials, 2008Co-Authors: Yingxu Wei, Yingli Wang, Xinzhi Zhang, Zhongmin LiuAbstract:SAPO-34 molecular sieves with different Si coordination environment were synthesized by adjusting SiO2/Al2O3 molar ratio in starting gel. The crystal Structure, Element composition and Si coordination environment of the as-synthesized samples were characterized by XRD, SEM, XRF and NMR. SAPO-34 molecular sieve could be obtained when the SiO2/Al2O3 molar ratio of the starting gel was higher than 0.075. The content and modeling of Si incorporated into SAPO-34 framework varied with the SiO2/Al2O3 molar ratios in the starting gel and different Si chemical environments were formed correspondingly. SAPO-34 with only Si(4Al) coordination Structure could be prepared when the SiO2/Al2O3 molar ratio of the starting gel was in range of 0.075-0.15. (c) 2008 Elsevier Inc. All rights reserved.
Zezhong Zheng - One of the best experts on this subject based on the ideXlab platform.
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a novel vehicle detection method with high resolution highway aerial image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013Co-Authors: Zezhong Zheng, Guoqing Zhou, Yong Wang, Xiaowen Li, Xiaoting Wang, Ling JiangAbstract:A robust and efficient vehicle detection method from high resolution aerial image is still challenging. In this paper, a novel and robust method for automatic vehicle detection using aerial images over highway was presented. In the method, a GIS road vector map was used to constrain the vehicle detection system to the highway networks. After the morphological Structure Element was identified, we utilized the grayscale opening transformation and grayscale top-hat transformation to identify hypothesis vehicles in the light or white background, and used the grayscale closing transformation and grayscale bot-hat transformation to identify the hypothesis vehicles in the black or dark background. Then, targets with large size or covering a large area were sieved from the hypothesis vehicles using an area threshold that is much larger than a typical vehicle. Targets, whose width is narrower than the diameter of Structure Element utilized in the grayscale morphological transformation, were smoothed out from the hypothesis vehicles using binary morphological opening transformation. Finally, the hypothesis vehicles detected in both cases were overlaid. It should be noted that in the detection system, a vehicle could be detected twice by the two approaches. The two identical hypothesis vehicles should be amalgamated into a single one for accuracy assessment subsequently. We tested our system on seventeen highway scenes of aerial images with a spatial resolution of 0.15 × 0.15 m. The experimental results showed that the correctness, completeness, and quality rates of the proposed vehicle detection method were about 98%, 93%, and 92%, respectively. Thus, our proposed approach is robust and efficient to detect vehicles of highway using high resolution aerial images.
Kazuhiko Nakatani - One of the best experts on this subject based on the ideXlab platform.
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Small synthetic molecule-stabilized RNA pseudoknot as an activator for –1 ribosomal frameshifting
Nucleic Acids Research, 2018Co-Authors: Saki Matsumoto, Neva Caliskan, Asako Murata, Marina V. Rodnina, Kazuhiko NakataniAbstract:Programmed –1 ribosomal frameshifting (−1PRF) is a recoding mechanism to make alternative proteins from a single mRNA transcript. −1PRF is stimulated by cis-acting signals in mRNA, a seven-nucleotide slippery sequence and a downstream secondary Structure Element, which is often a pseudoknot. In this study we engineered the frameshifting pseudoknot from the mouse mammary tumor virus to respond to a rationally designed small molecule naphthyridine carbamate tetramer (NCTn). We demonstrate that NCTn can stabilize the pseudoknot Structure in mRNA and activate –1PRF both in vitro and in human cells. The results illustrate how NCTn-inducible –1PRF may serve as an important component of the synthetic biology toolbox for the precise control of gene expression using small synthetic molecules.
