Abstract: A modified cutinase is disclosed. The cutinase has the modified amino acid sequence of SEQ ID NO: 2, wherein the modification is a substitution of asparagine at position 181 with alanine, or substitutions of asparagine at position 181 with alanine and phenylalanine at position 235 with leucine. The modified enzyme has improved PET-hydrolytic activity, and thus, the high-activity PET hydrolase is obtained, and the industrial application value of the PET hydrolase is enhanced.

Abstract: Embodiments are directed to polymer blends and molded articles including polymer blends. Embodiments of the polymer blend may include 1 to 40 wt. % of a crystalline block composite and from 60 wt. % to 99 wt. % of an ionomer formed from a partially neutralized precursor acid copolymer. The crystalline block composite may include an EP-iPP diblock polymer, an isotactic polypropylene homopolymer, and a copolymer of ethylene and propylene. The crystalline block composite may include greater than 50 wt. % of the isotactic polypropylene homopolymer. The precursor acid copolymer may include copolymerized units of ethylene and 5 wt. % to 30 wt. %, based on the total weight of the precursor acid copolymer, of copolymerized units of an ?,?-ethylenically unsaturated carboxylic acid having 3 to 8 carbon atoms. About 25% to about 65% of the acid groups derived from the ?,?-ethylenically unsaturated carboxylic acid of the precursor acid copolymer may be neutralized.

Abstract: A method and device for behavior recognition based on line-of-sight estimation are provided. The method is as follows. An image is collected. It is detected whether the image includes a face. When the image includes a face, it is determined whether the face in the image is a face with closed eyes. When the face in the image is not with closed eyes, a line-of-sight direction angle of a target to which the face belongs, and a distance between the face and an image collecting unit, are computed. It is determined whether the target has a set behavior based on the line-of-sight direction angle and the distance.

Abstract: A method and device for behavior recognition are provided. According the present disclosure, an image is collected. It is detected whether the image includes a face. When the image includes a face, it is determined whether the face in the image is a face with closed eyes. When the face in the image is not with closed eyes, a distance between the face and an image collecting unit is computed. A maximum field of vision of a target to which the face belongs is determined according to the distance and a parameter of the image collecting unit. It is determined, according to the maximum field of vision, whether the target has a set behavior.

Abstract: Techniques and solutions are provided for a source quality check service configured to analyze source text and identify issues in the source text. The source quality check service may identify the issues by performing a selected subset of checks with a centralized source quality check engine, and may be called from within one or more of an Integrated Development Environment (IDE), a build process, and/or a translation process to perform the selected subset of checks. The source quality check service may be further configured to output a report of the identified one or more issues.

Abstract: At least two images are acquired. At least two crop images are acquired by cropping the at least two images for face-containing images. Triangular patch deformation is performed on two neighbour images, generating a first triangular patch deformation frame image sequence and a second triangular patch deformation frame image sequence. Similarity transformation is performed on each image sequence of the first triangular patch deformation frame image sequence, acquiring a first transform frame image sequence. Similarity transformation is performed on each image sequence of the second triangular patch deformation frame image sequence, acquiring a second transform frame image sequence. The first and the second transform frame image sequences are fused, acquiring a video frame sequence corresponding to the two neighbour images. Of the at least two images, a video frame sequence generated by all neighbour images is coded, acquiring a destined video.

Abstract: At least two images are acquired. At least two crop images are acquired by cropping the at least two images for face-containing images. Triangular patch deformation is performed on two neighbour images, generating a first triangular patch deformation frame image sequence and a second triangular patch deformation frame image sequence. Similarity transformation is performed on each image sequence of the first triangular patch deformation frame image sequence, acquiring a first transform frame image sequence. Similarity transformation is performed on each image sequence of the second triangular patch deformation frame image sequence, acquiring a second transform frame image sequence. The first and the second transform frame image sequences are fused, acquiring a video frame sequence corresponding to the two neighbour images. Of the at least two images, a video frame sequence generated by all neighbour images is coded, acquiring a destined video.

Abstract: A method and device for behavior recognition are provided. According the present disclosure, an image is collected. It is detected whether the image includes a face. When the image includes a face, it is determined whether the face in the image is a face with closed eyes. When the face in the image is not with closed eyes, a distance between the face and an image collecting unit is computed. A maximum field of vision of a target to which the face belongs is determined according to the distance and a parameter of the image collecting unit. It is determined, according to the maximum field of vision, whether the target has a set behavior.

Abstract: A method and device for behavior recognition based on line-of-sight estimation are provided. The method is as follows. An image is collected. It is detected whether the image includes a face. When the image includes a face, it is determined whether the face in the image is a face with closed eyes. When the face in the image is not with closed eyes, a line-of-sight direction angle of a target to which the face belongs, and a distance between the face and an image collecting unit, are computed. It is determined whether the target has a set behavior based on the line-of-sight direction angle and the distance.

Abstract: Techniques and solutions are provided for a source quality check service configured to analyze source text and identify issues in the source text. The source quality check service may identify the issues by performing a selected subset of checks with a centralized source quality check engine, and may be called from within one or more of an Integrated Development Environment (IDE), a build process, and/or a translation process to perform the selected subset of checks. The source quality check service may be further configured to output a report of the identified one or more issues.

Abstract: A method and device for eliminating noise, and a mobile terminal. The method comprises: extracting, from the voice of a talker, an audio fingerprint of the talker voice in advance (101); and when the talker talks with an opposite listener, according to the audio fingerprint of the talker, extracting a voice which matches the audio fingerprint from the current talking voice, and sending to the opposite listener the voice which matches the audio fingerprint through a communication network (102).