Abstract: The present application provides methods for editing RNA by introducing a deaminase-recruiting RNA in a host cell for deamination of an adenosine in a target RNA. The present application further provides deaminase-recruiting RNAs used in the RNA editing methods and compositions comprising the same.

Abstract: Provided are methods for editing RNA by introducing a deaminase-recruiting RNA in a host cell for deamination of an adenosine in a target RNA, and deaminase-recruiting RNAs used in the RNA editing methods and compositions comprising the same.

Abstract: Embodiments of the present disclosure provide an information processing method, a server, and a computer storage medium. The method includes: collecting first information; selecting from the first information at least one information material, and generating, according to the first information material, a media information form template supporting at least two types of scenario presentation requirements; receiving a first request for the information material initiated by a data traffic monitor; sending the information material and the media information form template to the data traffic monitor; and generating a presentation result according to the information material and the media information form template.

Abstract: Provided are methods for editing RNA by introducing a deaminase-recruiting RNA in a host cell for deamination of an adenosine in a target RNA, and deaminase-recruiting RNAs used in the RNA editing methods and compositions comprising the same.

Abstract: An aneuploid Stevia cultivar from colchicine-induced polyploidy, designated ‘AP-1’. The plant parts of Stevia cultivar ‘AP-1’, the plants of stevia ‘AP-1’ and methods for producing a Stevia plant produced by crossing the cultivar ‘AP-1’ with itself or another Stevia variety, including methods using colchicine treatments for producing an aneuploidy Stevia plant. The disclosure further relates to hybrid Stevia seeds and plants produced by crossing the cultivar ‘AP-1’ with another Stevia cultivar. Ten highly polymorphic SNPs and the corresponding genomic sequences used to identify ‘AP-1’.

Abstract: The present invention discloses a six-dimensional force sensor with high sensitivity and low inter-dimensional coupling, including a clockwise or counterclockwise swastika-shaped beam, vertical beams, a rectangular outer frame, and strain gauges; the clockwise or counterclockwise swastika-shaped beam includes a cross-shaped transverse beam and four rectangular transverse beams; a center of the cross-shaped transverse beam is provided with several force application holes used for applying forces and moments; four tail ends of the cross-shaped transverse beam are each connected to one of the rectangular transverse beams to form a clockwise or counterclockwise swastika-shaped structure; a top end of a vertical beam is connected to a tail end of a corresponding rectangular transverse beam, and bottom ends of the vertical beams are connected to the rectangular outer frame; and there are a plurality of strain gauges to form six groups of Wheatstone bridges that are respectively used for measuring an X-direction for

Abstract: A stevia cultivar, designated ‘16265046’, is disclosed. The embodiments of the invention relate to the plant parts of stevia cultivar ‘16265046’, to the plants of stevia ‘16265046’ and to methods for producing a stevia plant produced by crossing the cultivar ‘16265046’ with itself or another stevia variety, including methods using marker assisted breeding. The embodiments further relate to hybrid stevia seeds and plants produced by crossing the cultivar ‘16265046’ with another stevia cultivar. Twelve highly polymorphic SNPs loci and the corresponding genomic sequences used to identify plant variety ‘16265046’-derived plant materials are also disclosed.

Abstract: This application discloses a method and an apparatus for advertisement fraud reduction. A training sample set including multiple training samples is obtained. At least one of the multiple training samples, associated with a fraudulent training user, includes a training click log associated with clicking one or more advertisements by the fraudulent training user. Feature information from the training sample set is extracted. The fraudulent training user and the feature information are associated with a fraudulent user type. A positive sample associated with the feature information is formed based on the at least one of the multiple training samples. A fraudulent user identification model associated with the fraudulent user type is trained based on at least the positive sample. Further, a sample to be identified, associated with a user to be identified, is received. Whether the user is a fraudulent user is determining using the fraudulent user identification model.

Abstract: Embodiments of the present disclosure provide an information processing method, a server, and a computer storage medium. The method includes: collecting first information; selecting from the first information at least one information material, and generating, according to the first information material, a media information form template supporting at least two types of scenario presentation requirements; receiving a first request for the information material initiated by a data traffic monitor; sending the information material and the media information form template to the data traffic monitor; and generating a presentation result according to the information material and the media information form template.

Abstract: Embodiments of the present disclosure disclose an information processing method, a server, and a non-volatile storage medium. The method includes obtaining first log information in a first time period and then obtaining, based on the first log information, terminal information of a terminal that performs a hit behavior on a media information display place. The method includes determining, based on the terminal information, regional information corresponding to the terminal, where the regional information is used to indicate a region in which the terminal is located. The method also includes determining whether the number of regions in which the terminal is located is greater than a first threshold in a preset time range according to the regional information. The method further includes, when the number is greater than the first threshold, obtaining first terminal information of the terminal and determining that the terminal is an abnormal terminal.

Abstract: This application discloses a method and an apparatus for advertisement fraud reduction. A training sample set including multiple training samples is obtained. At least one of the multiple training samples, associated with a fraudulent training user, includes a training click log associated with clicking one or more advertisements by the fraudulent training user. Feature information from the training sample set is extracted. The fraudulent training user and the feature information are associated with a fraudulent user type. A positive sample associated with the feature information is formed based on the at least one of the multiple training samples. A fraudulent user identification model associated with the fraudulent user type is trained based on at least the positive sample. Further, a sample to be identified, associated with a user to be identified, is received. Whether the user is a fraudulent user is determining using the fraudulent user identification model.