Abstract: A method for extracting surface morphology and fabric characteristics of rock ores and minerals, which includes the following steps. An adaptive two-dimensional (2D) structure enhancement filter operator and its filter aperture in the spatial domain are constructed based on confocal microscopic image data of a rock sample. Attribute data that retains and accentuates structural features of the rock sample is obtained through azimuth scanning. A data-driven higher-order nonlinear spline smoothing function of 2D elevation data is established to determine the optimal 2D localized spline smoothing function. After that, the positive and negative morphology attributes of the surface of the rock sample are calculated, so as to accurately, reliably and quantitatively characterize the surface morphology and fabric characteristics of the rock sample.

Abstract: The present disclosure relates to the technical field of genetic engineering, in particular to a target ligand. The target ligand provided by the present disclosure forms a siRNA conjugate with a specific small interfering RNA sequence, which targets to an angiopoietin like 3 (ANGPTL3), and reduce the expression quantity of an ANGPTL3 protein by degrading a transcript of an ANGPTL3 gene in a cell. Therefore, the siRNA conjugate formed by the target ligand provided by the present disclosure may be used to prevent and/or treat a dyslipidemia disease.

Abstract: The present disclosure relates to the technical field of genetic engineering, in particular to a siRNA of an angiopoietin like 3 (ANGPTL3) and a use thereof. The inventor of the present disclosure targets to ANGPTL3 by designing an appropriate specific small interfering RNA sequence and a siRNA conjugate, and reduce the expression of an ANGPTL3 protein by degrading a transcript of an ANGPTL3 gene in a cell. Therefore, the siRNA provided in the present disclosure may be used to prevent and/or treat a dyslipidemia disease.