Abstract: A continuous quantitative spraying structure for sterilization of harvested fruits is provided. The continuous quantitative spraying structure includes a track provided thereon with equally spaced trays for conveying fruits, where the trays each include a circular tray body; a central part of the tray body is provided with a central hole allowing the fruit to fall off; a bottom part of the central hole is provided with two parallel rollers; an inner bottom surface of the tray body is provided with a flap; an inner end of a central shaft of the roller passes through the flap, and is fixed to a rolling wheel; a bearing is provided between the roller and the flap; the track is provided with a spraying sterilization section; the spraying sterilization section is sequentially provided with 3 to 4 sets of sterilization nozzles above a tray conveying route.

Abstract: A continuous quantitative spraying structure for sterilization of harvested fruits is provided. The continuous quantitative spraying structure includes a track provided thereon with equally spaced trays for conveying fruits, where the trays each include a circular tray body; a central part of the tray body is provided with a central hole allowing the fruit to fall off, a bottom part of the central hole is provided with two parallel rollers; an inner bottom surface of the tray body is provided with a flap; an inner end of a central shaft of the roller passes through the flap, and is fixed to a rolling wheel; a bearing is provided between the roller and the flap; the track is provided with a spraying sterilization section; the spraying sterilization section is sequentially provided with 3 to 4 sets of sterilization nozzles above a tray conveying route.

Abstract: The disclosure relates to a preparation method and use of a pyrazole compound containing 1-(3,4-dimethoxyphenyl)-?-carboline unit. The pyrazole compound is prepared by reacting pyrazole aldehyde and 1-(3,4-dimethoxyphenyl)-?-carboline acylhydrazine. The pyrazole compound containing 1-(3,4-dimethoxyphenyl)-?-carboline unit has good inhibitory activity against tumor cell HGC-27. The pyrazole compound could be used in the preparation of anti-tumor drugs.

Abstract: The present disclosure provides a preparation method and use of pyrazole acylhydrazone containing a trifluoromethylthiadiazole unit, which relates to the technical field of chemical pesticides. The pyrazole acylhydrazone containing a trifluoromethylthiadiazole unit provided by the present disclosure is obtained by the condensation of trifluoromethylthiadiazole hydrazide and pyrazole aldehyde. The pyrazole acylhydrazone containing a trifluoromethylthiadiazole unit has an excellent control effect on plant pathogens, and the compound can be used to prepare bactericides in the fields of agriculture, horticulture, etc.

Abstract: The development and use of an anti-OX40 antibody and immune cell activation is disclosed. The anti-OX40 antibody or a fragment of the anti-OX40 antibody retains strong binding to human OX40 or Rhesus Monkey OX40. The anti-OX40 antibody or a fragment of the anti-OX40 antibody more effectively activates T cells, generates stronger immune responses, and improves anti-tumor activity.

Abstract: The present disclosure relates to a 2-substituted imidazolidine derivative containing an aryl bipyridyloxy structure, and a preparation method and use thereof, which is obtained by the reaction of 2-substituted imidazolidine and aryl bipyridyloxy compound. The 2-substituted imidazolidine derivative containing an aryl bipyridyloxy structure has a good insecticidal effect on harmful insects, and the compound can be used to prepare insecticides in the fields of agriculture, horticulture, etc.

Abstract: An information detection method includes: determining key point information in a target identification from a target image based on a preset deep learning algorithm; obtaining an image of the target identification from the target image according to the key point information; and determining information of a preset field from the image of the target identification according to the image of the target identification and a preset identification template matching the target identification.

Abstract: A user identity determining method includes: acquiring target multidimensional feature information of a target user, wherein the target multidimensional feature information includes at least two types of feature information in at least one of biometric feature information or non-biometric feature information; comparing the target multidimensional feature information with multidimensional feature information of a plurality of designated users, respectively, to obtain a comparison result; and determining an identity of the target user based on the comparison result.

Abstract: Implementations of the present specification disclose a comparison method and apparatus based on a plurality of face image frames and an electronic device. The method includes: obtaining a plurality of face image frames of a target object; selecting a first face image with a highest quality score from the plurality of face image frames, and adding the first face image to a candidate image set; in response to that a number of images in the candidate image set is less than a predetermined value, iteratively selecting, from the plurality of face image frames, a second face image that has a maximum average difference from all face images in the candidate image set in a predetermined parameter, to add the second face image to the candidate image set; and comparing the face images in the candidate image set with a stored face image of the target object.

Abstract: Implementations of the present specification disclose a comparison method and apparatus based on a plurality of face image frames and an electronic device. The method includes: obtaining a plurality of face image frames of a target object; selecting a first face image with a highest quality score from the plurality of face image frames, and adding the first face image to a candidate image set; in response to that a number of images in the candidate image set is less than a predetermined value, iteratively selecting, from the plurality of face image frames, a second face image that has a maximum average difference from all face images in the candidate image set in a predetermined parameter, to add the second face image to the candidate image set; and comparing the face images in the candidate image set with a stored face image of the target object.

Abstract: Methods, systems, and devices, including computer programs encoded on computer storage media, for selecting a target face are provided. One of the methods includes: obtaining at least one facial area including one or more faces in an image taken by a camera; determining, based on the image, a spatial distance between each of the one or more faces and the camera; and selecting, based on the spatial distance, the target face from the one or more faces.

Abstract: A user identity determining method includes: acquiring target multidimensional feature information of a target user, wherein the target multidimensional feature information includes at least two types of feature information in at least one of biometric feature information or non-biometric feature information; comparing the target multidimensional feature information with multidimensional feature information of a plurality of designated users, respectively, to obtain a comparison result; and determining an identity of the target user based on the comparison result.

Abstract: Methods, systems, and devices, including computer programs encoded on computer storage media, for selecting a target face are provided. One of the methods includes: obtaining at least one facial area including one or more faces in an image taken by a camera; determining, based on the image, a spatial distance between each of the one or more faces and the camera; and selecting, based on the spatial distance, the target face from the one or more faces.

Abstract: Methods, systems, and devices, including computer programs encoded on computer storage media, for selecting a target face are provided. One of the methods includes: obtaining at least one facial area including one or more faces in an image taken by a camera; determining, based on the image, a spatial distance between each of the one or more faces and the camera; and selecting, based on the spatial distance, the target face from the one or more faces.

Abstract: Disclosed in the application are document verification and identity verification methods and devices. A computer-implemented document verification method comprises: obtaining an image of a to-be-verified document; and verifying whether an anti-counterfeiting identifier exists in the image; verifying a source of the image; and obtaining a verification result for the to-be-verified document based on the verification of the anti-counterfeiting identifier and the verification of the source of the image. A computer-implemented identity verification method comprises: obtaining an image of an identity document of a to-be-verified user; obtaining a first verification result for the identity document based on the image of the identity document; verifying authenticity of identity information in the image of the identify document to obtain a second verification result; and determining an identity verification result for the to-be-verified user based on the first verification result and the second verification result.

Abstract: This specification describes techniques for verifying authenticity of an image. One example method includes identifying a baseline image depicting a baseline background; identifying a comparison image depicting a card; identifying a comparison background in the comparison image, wherein the comparison background is an area of the comparison image other than an area occupied by the card; determining a probability that the baseline background matches the comparison background; determining that the probability satisfies a verification threshold; and in response to determining that the probability satisfies a verification threshold, determining that the comparison image was acquired by capturing an image of a physical card corresponding to the card depicted in the comparison image.

Abstract: Methods, systems, and devices, including computer programs encoded on computer storage media, for selecting a target face are provided. One of the methods includes: obtaining at least one facial area including one or more faces in an image taken by a camera; determining, based on the image, a spatial distance between each of the one or more faces and the camera; and selecting, based on the spatial distance, the target face from the one or more faces.

Abstract: An information detection method includes: determining key point information in a target identification from a target image based on a preset deep learning algorithm; obtaining an image of the target identification from the target image according to the key point information; and determining information of a preset field from the image of the target identification according to the image of the target identification and a preset identification template matching the target identification.

Abstract: A user identity determining method includes: acquiring target multidimensional feature information of a target user, wherein the target multidimensional feature information includes at least two types of feature information in at least one of biometric feature information or non-biometric feature information; comparing the target multidimensional feature information with multidimensional feature information of a plurality of designated users, respectively, to obtain a comparison result; and determining an identity of the target user based on the comparison result.

Abstract: Disclosed in the application are document verification and identity verification methods and devices. A computer-implemented document verification method comprises: obtaining an image of a to-be-verified document; and verifying whether an anti-counterfeiting identifier exists in the image; verifying a source of the image; and obtaining a verification result for the to-be-verified document based on the verification of the anti-counterfeiting identifier and the verification of the source of the image. A computer-implemented identity verification method comprises: obtaining an image of an identity document of a to-be-verified user; obtaining a first verification result for the identity document based on the image of the identity document; verifying authenticity of identity information in the image of the identify document to obtain a second verification result; and determining an identity verification result for the to-be-verified user based on the first verification result and the second verification result.