Abstract: An anti-MASP-2 antibody and use thereof. The anti-MASP-2 antibody specifically binds to a human MASP-2 protein at a KD value of about 2E-09M or less, and the anti-MASP-2 antibody specifically binds to a cynomolgus monkey MASP-2 protein at a KD value of about 2E-09M or less. Disclosed are an immunoconjugate containing the anti-MASP-2 antibody, a method for preparing the anti-MASP-2 antibody, and use of the anti-MASP-2 antibody.

Abstract: Provided is an GARP protein antibody, and a cell comprising or expressing the GA RP protein antibody. The GARP protein antibody binds to human GARP/human TGF-?1 complex with a KD value of about 1.0E-12 or less. Also provided are a pharmaceutical combination comprising the GARP protein antibody and an immune checkpoint inhibitor and use thereof.

Abstract: A prediction method, an encoder, a decoder, and a computer storage medium are provided. The prediction method applied to an encoder includes: determining a spatial block in which an encoding point is located; constructing a prediction model according to the spatial block; acquiring a value of a first colour component and a value of a second colour component of the encoding point; obtaining a prediction value of the second colour component of the encoding point by using the prediction model and the value of the first colour component; calculating a difference between the value of the second colour component and the prediction value of the second colour component, and using the obtained difference as a residual of the encoding point; and performing Level of Detail (LOD) partitioning and lifting transform based on the residual of the encoding point.

Abstract: The implementation of the present disclosure provides a point cloud partitioning method and device, and a computer-readable storage medium, including: when performing stripe division along the longest side, adjusting an initial partitioning position or determining the stripe division length according to the size of a preset block, to obtain a stripe division position, wherein, the length of the first n?1 stripes along the longest side is an integer multiple of the side length of the preset block, n is the number of divided stripes, and n is a positive integer greater than or equal to 2.

Abstract: The implementation of the present disclosure provides a point cloud partitioning method and device, and a computer-readable storage medium, including: when performing stripe division along the longest side, adjusting an initial partitioning position or determining the stripe division length according to the size of a preset block, to obtain a stripe division position, wherein, the length of the first n?1 stripes along the longest side is an integer multiple of the side length of the preset block, n is the number of divided stripes, and n is a positive integer greater than or equal to 2.

Abstract: Provided by the implementations of the present disclosure are a transform method, a coder, a decoder and a computer readable storage medium. The transform method includes: determining normal vectors of encoding points in an encoding point cloud; analyzing the sum total of all coordinates of the normal vectors on the basis of the normal vectors of the encoding points; and determining a transform sequence on the basis of the sum total of all coordinates of the normal vectors.

Abstract: Embodiments of the disclosure disclose a method for displaying content, an electronic device and a storage medium. It is applied to electronic device including a display screen, the size of the content display area of the display screen is adjustable, the content display area is the visible area in the display area included in the display screen. For instance a first interface content may be displayed in the content display area, in response to an increase in a size of the content display area. A second interface content may be displayed in the content display area with the first interface content.

Abstract: A point cloud model reconstruction method, an encoder, and a decoder are provided. The method includes the following. An i-th segmentation position of an i-th three-dimensional slice on a longest edge in a point cloud space is obtained, where 1?i?n?1 and n is a total number of three-dimensional slices to-be-processed. An i-th cube block set nearest to the i-th segmentation position in the i-th three-dimensional slice is determined based on the i-th segmentation position and a preset cube block length. An i-th vertex position with a cube block in the i-th cube block set is determined along the longest edge, where the i-th vertex position represents a position of a vertex on an edge which is away from a start position of the cube block by the preset cube block length. A point cloud model is reconstructed based on the i-th vertex position.

Abstract: Provided by the implementations of the present disclosure are a transform method, a coder, a decoder and a computer readable storage medium. The transform method includes: determining normal vectors of encoding points in an encoding point cloud; analyzing the sum total of all coordinates of the normal vectors on the basis of the normal vectors of the encoding points; and determining a transform sequence on the basis of the sum total of all coordinates of the normal vectors.

Abstract: Provided by the implementations of the present disclosure are a transform method, a coder, a decoder and a computer readable storage medium. The transform method includes: determining normal vectors of encoding points in an encoding point cloud; analyzing the sum total of all coordinates of the normal vectors on the basis of the normal vectors of the encoding points; and determining a transform sequence on the basis of the sum total of all coordinates of the normal vectors.

Abstract: A prediction method, an encoder, a decoder, and a computer storage medium are provided. The prediction method applied to an encoder includes: determining a spatial block in which an encoding point is located; constructing a prediction model according to the spatial block; acquiring a value of a first colour component and a value of a second colour component of the encoding point; obtaining a prediction value of the second colour component of the encoding point by using the prediction model and the value of the first colour component; calculating a difference between the value of the second colour component and the prediction value of the second colour component, and using the obtained difference as a residual of the encoding point; and performing Level of Detail (LOD) partitioning and lifting transform based on the residual of the encoding point.

Abstract: Provided by the implementations of the present disclosure are a transform method, a coder, a decoder and a computer readable storage medium. The transform method includes: determining normal vectors of encoding points in an encoding point cloud; analyzing the sum total of all coordinates of the normal vectors on the basis of the normal vectors of the encoding points; and determining a transform sequence on the basis of the sum total of all coordinates of the normal vectors.

Abstract: The implementation of the present disclosure provides a point cloud partitioning method and device, and a computer-readable storage medium, including: when performing stripe division along the longest side, adjusting an initial partitioning position or determining the stripe division length according to the size of a preset block, to obtain a stripe division position, wherein, the length of the first n-1 stripes along the longest side is an integer multiple of the side length of the preset block, n is the number of divided stripes, and n is a positive integer greater than or equal to 2.

Abstract: A point cloud model reconstruction method, an encoder, and a decoder are provided. The method includes the following. An i-th segmentation position of an i-th three-dimensional slice on a longest edge in a point cloud space is obtained, where 1?i?n?1 and n is a total number of three-dimensional slices to-be-processed. An i-th cube block set nearest to the i-th segmentation position in the i-th three-dimensional slice is determined based on the i-th segmentation position and a preset cube block length. An i-th vertex position with a cube block in the i-th cube block set is determined along the longest edge, where the i-th vertex position represents a position of a vertex on an edge which is away from a start position of the cube block by the preset cube block length. A point cloud model is reconstructed based on the i-th vertex position.

Abstract: Provided are an auxiliary spring, a new-belted diaphragm and an air spring. The air spring comprises an auxiliary spring and a new-belted diaphragm arranged above the auxiliary spring, the auxiliary spring comprises a rim (1), which has a reversed convex structure and has a downward support column on a bottom surface thereof; a rubber piece (2), a center of which has a concave hole for enclosing the whole support column and a top of which contacts with a concave bottom surface of the rim (1); and a base plate (3); the new-belted diaphragm comprises a top cover (41) and a diaphragm body (42) that has a hollow structure and is installed below the top cover (41); a top of the diaphragm body (42) is an annular opening and is connected with the top cover (41), and a middle vertical portion thereof is a girdle portion.