Abstract: The present disclosure relates to recombinant reverse transcriptase polypeptides and compositions thereof, as well as polynucleotides encoding the recombinant reverse transcriptase polypeptides. The disclosure also provides methods for using the recombinant reverse transcriptase polypeptides and compositions thereof for diagnostic and as molecular biological tools.

Abstract: The present disclosure relates to the biosynthesis of 1-undecene and related terminal olefins. Specifically, the present disclosure relates to methods of using proteins to produce 1-undecene and related terminal olefins.

Abstract: The present disclosure relates to the biosynthesis of 1-undecene and related terminal olefins. Specifically, the present disclosure relates to methods of using proteins to produce 1-undecene and related terminal olefins.

Abstract: An electronic device implementing a point cloud system is configured to simplify a mesh point cloud. The point cloud system obtains a mesh point cloud from a mesh cloud file uploaded to the electronic device, and obtains information of a number of triangles formed by the mesh point cloud. A unit normal vector of each vertex point of each triangle is calculated, and a decision value of each vertex point of each triangle is calculated. The vertex points of each triangle are classified into a number of classification levels according to the decision values. A number of sample vertex points from each of the classification levels is selected, and a triangular structure of the sample vertex points is restored to obtain a simplified mesh point cloud.

Abstract: A computing device and a method of processing point clouds of an object. Two groups of point clouds are selected as a first and a second group of point clouds. Redundant points in the first and second groups of point clouds are determined and marked using a first indicator. Normal points are determined in the second group of point clouds and marked using a second indicator. The method further uses a plurality of cubes for dividing the redundant points marked with the first indicator, and clears a first indicator of a specified redundant point in each of cubes which has a minimum distance to a centre point of the each of cubes. The method merges points which have not been marked with the first indicators in the first and second groups of point clouds to be a new group of point clouds.

Abstract: An electronic device having a processing unit and storage device receives point cloud data, and divides a bounding box of the point cloud data into a plurality of segmented boxes. Then, the processing unit selects a plurality of data boxes each having at least one point from the segmented boxes and assigns a reference value to each such point in the data boxes. The processing unit selects initial sampling points from the points in the data boxes, based on the reference values, to form a sample point cloud and adds to or subtracts from the sample point cloud based on the number of initial sampling points and a predetermined sampling rate.

Abstract: A method for reducing a point cloud includes receiving a mesh point cloud file uploaded to an electronic device and obtaining a number of data points of the point cloud from the mesh point cloud file, calculating a bounding box of the point cloud from the number of data points, dividing the bounding box into a number of cubes, determining effective cubes of the plurality of cubes, calculating a mean curvature of each of the effective cubes, determining a type of each of the effective cubes according to the mean curvature, reducing each effective cube according to the type of the effective cube to obtain a post-reduction cube, combining the post-reduction cubes to obtain a post-reduction point cloud, and restoring a mesh point cloud of the point cloud according to the post-reduction point cloud. An electronic device for reducing a point cloud is also provided.

Abstract: A digital spectrophotometer and a spectrologial method for determining spectrum wavelength of an unknown illuminant, and the digital spectrophotometer has a base, an operating assembly and a photographic assembly. The operating assembly is attached to the base and has an operating pedestal, a rotating frame and a spectrometer. The rotating frame is connected rotatably to the operating pedestal. The spectrometer is connected solidly to the rotating frame. The photographic assembly is connected to the operating assembly. The spectrologial method is calculated the diffraction angle ? i and the wavelength of the unknown illuminant by putting the parameters into the into the first and second functions.

Abstract: A digital spectrophotometer and a spectrologial method for determining spectrum wavelength of an unknown illuminant, and the digital spectrophotometer has a base, an operating assembly and a photographic assembly. The operating assembly is attached to the base and has an operating pedestal, a rotating frame and a spectrometer. The rotating frame is connected rotatably to the operating pedestal. The spectrometer is connected solidly to the rotating frame. The photographic assembly is connected to the operating assembly. The spectrologial method is calculated the diffraction angle ? i and the wavelength of the unknown illuminant by putting the parameters into the into the first and second functions.