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Copyright of Urban Mass Transit is the property of Urban Mass Transit Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Sciencepaper is the property of China Sciencepaper and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Natural non-metallic minerals are mainly composed of silicate minerals with natural nanoscale layered, porous or fibrous structures, and possess multiple physical and chemical characteristics, such as favorable adsorption capacity, colloidal properly, and ion exchange ability. Natural non-metallic mineral could promote growth performance, protect intestinal health, and improve the quality of products when supplemented into animal feed. Moreover, the administration of non-metallic mineral has potentials to inhibit the pathogenic microorganisms, reduce the transmission of drug resistance genes, and remediate the soil. In this paper, the prope1iies of several non-metallic minerals were introduced, including palygorskite, zeolite and montmorillonite. Meanwhile, the application progresses of dietary non-metallic mineral were emphatically reviewed,and its research frontiers and development prospects in feed were discussed. This review would provide references and insights for the application of dietary non-metallic minerals and health husbandry. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Nanjing Agricultural University / Nanjuing Nongye Daxue Xuebao is the property of Journal of Nanjing Agricultural University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Road real-time perception is the key technology of autonomous ground mobile robot to realize autonomous navigation. But it is difficult to develop a road sensing algorithm because of the complexity and uncertainty of outdoor road environment. A multi-scale biomimetic road sensing algorithm in wavelet domain based on semantic tree Markov model is proposed. In time-space domain, the three-dimensional random field is used to express the road image sequence collected by robot. A road model named road best tree-Markov random field (RT-MRF) using the semantic tree structure Markov random field (MRF) is proposed. The genetic algorithm is used to optimize the supervised RT-MRF model for image segmentation of road sequences. The road recognition and autonomous navigation are realized through tracking segmentation boundary. An independently developed quadruped bionic robot is used as the research and experiment platform. The experimental results show that the proposed algorithm is a robust road image sequence segmentation method, which can be used under the poor detection conditions, such as shadow, cracks, holes, uneven and illumination change. And the real time of the algorithm is enough high to meet the demand of outdoor mobile robot autonomous navigation. [ABSTRACT FROM AUTHOR]