Abstract: The application relates to the technical field of lithium ion batteries, in particular to a non-aqueous electrolyte and a lithium ion battery. In order to overcome the technical problem of poor high-temperature performance of the existing lithium ion battery, the application provides a non-aqueous electrolyte, comprising a solvent, a lithium salt and at least one of bicyclic compound represented by structural formulas 1-1 to 1-3: Meanwhile, the application also discloses a lithium ion battery comprising the non-aqueous electrolyte. The non-aqueous electrolyte and the lithium ion battery provided by the application can effectively improve the high-temperature cycle performance and high-temperature storage performance of battery.

Abstract: The present invention provides a compound having a specific chemical structure and having PDE9A inhibitory activity, or a pharmaceutically acceptable salt thereof. The present invention provides a composition containing the compound or a pharmaceutically acceptable salt thereof. The present invention provides a pharmaceutical use, for treating or preventing PDE9A-related diseases, of the compound according to the present invention, a salt thereof, and a composition containing the compound or salt. The present invention also provides a method for treating or preventing PDE9A-related diseases, the method comprising administering an effective amount of the compound according to the present invention, a salt thereof, or a composition containing the compound or salt to a subject in need of treatment.

Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product related to the field of artificial intelligence technologies are provided. The image gaze correction method includes: acquiring an eye image from an image; performing feature extraction processing on the eye image to obtain feature information of the eye image; performing, based on the feature information and a target gaze direction, gaze correction processing on the eye image to obtain an initially corrected eye image and an eye contour mask; performing, by using the eye contour mask, adjustment processing on the initially corrected eye image to obtain a corrected eye image; and generating a gaze corrected image based on the corrected eye image.

Abstract: Methods, systems, and devices for wireless communications are described. Some wireless communications systems may support techniques for a user equipment (UE) to select a scheduling request resource from multiple scheduling request resources allocated across different cells based on one or more conditions. The UE may receive control signaling that indicates a first scheduling request resource on a first cell and a second scheduling request resource on a second cell. The UE may generate a scheduling request applicable to the first and second scheduling request resources. The UE may select the first scheduling request resource for transmission of the scheduling request on the first cell based on one or more of a power mode of the UE, a signal metric associated with the first cell, or a numerology of the first cell. The UE may transmit the scheduling request via the first resource on the first cell based on the selecting.

Abstract: The present invention provides a compound having a specific chemical structure and having PDE9A inhibitory activity, or a pharmaceutically acceptable salt thereof. The present invention provides a composition containing the compound or a pharmaceutically acceptable salt thereof. The present invention provides a pharmaceutical use, for treating or preventing PDE9A-related diseases, of the compound according to the present invention, a salt thereof, and a composition containing the compound or salt. The present invention also provides a method for treating or preventing PDE9A-related diseases, the method comprising administering an effective amount of the compound according to the present invention, a salt thereof, or a composition containing the compound or salt to a subject in need of treatment.

Abstract: A plurality of groups of portrait components and a region in which the plurality of groups of portrait components are located are recognized from a first image, each group of portrait components corresponding to one human body, and a target region that includes a human face is determined in the region in which the plurality of groups of portrait components are located, to blur regions other than the target region in the first target image. A target group of portrait components including the human face is recognized from the first image, so that the target region in which the target group of portrait components is located is determined as a foreground region, and limbs of other people without a human face are determined as a background region. The disclosed system and method improve the accuracy of recognizing a foreground person and reducing incorrect detection in portrait recognition.

Abstract: Provided is a non-aqueous electrolyte, comprising a solvent, an electrolyte salt and a compound represented by structural formula 1: wherein, A, G and X are each independently selected from a cyclic sulfate group and its derivatives, a cyclic sulfonate group and its derivatives, a cyclic sulfite group and its derivatives or a group D; one or none of A, G and X is selected from the group D, and the group D is selected from a C1-C4 alkyl group, a C1-C4 unsaturated hydrocarbon group, a C1-C4 haloalkyl group, a C1-C4 nitrile group, a C1-C4 ether group or a C1-C4 ketone group. The application also provides a battery comprising the non-aqueous electrolyte. By adopting the above compound as an additive for the non-aqueous electrolyte, the film-forming quality of the surfaces of positive and negative electrodes can be effectively improved, and thus the battery performance is improved.

Abstract: An image acquisition method includes importing a three-dimensional model of an object into a three-dimensional virtual photographing scene having a virtual world coordinate system, determining model position information and model attitude information of the three-dimensional model in the virtual world coordinate system, determining, according to a layout pattern of a plurality of virtual cameras in the three-dimensional virtual photographing scene, camera position information and camera attitude information of each of the plurality of virtual cameras in the virtual world coordinate system, and acquiring, for each of the plurality of virtual cameras, an image of the object from a viewing angle of the virtual camera according to the model position information, the model attitude information, the camera position information, and the camera attitude information.

Abstract: An image noise reduction method including: obtaining a first image to be processed and a second image as a reference image; obtaining a block of the first image by dividing the first image; determining a motion intensity of the block based on the second image; obtaining filter coefficient description information matching the motion intensity based on: a first pixel difference of a first pixel point value of the first image and a second pixel point value of the second image, and a filter coefficient; obtaining a target pixel difference between a third pixel point value of the block and a fourth pixel point value of the second image; determining a target filter coefficient corresponding to the target pixel difference based on the filter coefficient description information; and determining a target noise reduction image of the first image based on the target filter coefficient.

Abstract: A video frame processing method, performed by a computer device, includes: receiving video frames carrying noise, wherein the video frames include an object; extracting poses of a part of the object; determining deflection degree values of the part based on the poses; generating a control signal based on the deflection degree values; obtaining updated deflection values based on backlash filtering of the control signal; and performing image processing on the video frames based on the updated deflection values.

Abstract: In a video processing method, a video frame sequence comprising a moving target is obtained. According to the video frame sequence and by processing circuitry of a neural network model, a motion state feature representing the moving target is obtained. The motion state feature is expressed in a time sequence of the video frame sequence. A result of matching between the motion state feature of the moving target and a motion state feature of a designated target is obtained. The moving target is determined as the designated target in response to a similarity between the motion state feature of the moving target and the motion state feature of the designated target being greater than a threshold. According to the motion state feature of the moving target and by using a classifier, a probability that the moving target pertains to an action category corresponding to the designated target is obtained.

Abstract: A medical imaging method is disclosed. The medical imaging method includes: controlling, based on an emission cycle, a ray generator to emit a periodic imaging signal; emitting, based on a reset cycle, a reset signal for resetting, when the ray generator stops emitting the periodic imaging signal, a ray detector, controlling the reset ray detector to receive the periodic imaging signal; and performing, based on the received periodic imaging signal, image reconstruction to generate a medical image. And a medical imaging device and an electronic apparatus are also disclosed.

Abstract: A hand key-point recognition model training method is provided for a model training device. The method includes: converting a sample virtual image into an emulation image through a Cycle-GAN model, the sample virtual image being an image generated through three-dimensional modeling, and the sample virtual image including key-point coordinates corresponding to hand key-points, and the emulation image being used for emulating an image acquired in a real scenario; extracting a hand image in the emulation image; and training a hand key-point recognition model according to the hand image in the emulation image and the key-point coordinates, the hand key-point recognition model being used for outputting hand key-point coordinates of a hand in a real image according to the inputted real image.

Abstract: Embodiments of the disclosure provide an image processing method and apparatus, a computer-readable medium, and an electronic device. The image processing method includes: extracting a feature map of a target image; dividing the feature map into target regions; determining weights of the target regions according to feature vectors of the target regions; and generating a feature vector of the target image according to the weights of the target regions and the feature vectors of the target regions.

Abstract: Methods, systems, and devices for wireless communications are described. Some wireless communications systems may support techniques for a user equipment (UE) to select a scheduling request resource from multiple scheduling request resources allocated across different cells based on one or more conditions. The UE may receive control signaling that indicates a first scheduling request resource on a first cell and a second scheduling request resource on a second cell. The UE may generate a scheduling request applicable to the first and second scheduling request resources. The UE may select the first scheduling request resource for transmission of the scheduling request on the first cell based on one or more of a power mode of the UE, a signal metric associated with the first cell, or a numerology of the first cell. The UE may transmit the scheduling request via the first resource on the first cell based on the selecting.

Abstract: Use of an IL-1? binding antibody or a functional fragment thereof, especially canakinumab or a functional fragment thereof, or gevokizumab or a functional fragment thereof, and biomarkers for the treatment and/or prevention of cancer with at least partial inflammatory basis.

Abstract: A method for training an image processing model includes: acquiring a to-be-corrected eye image set matching a usage environment of the image processing model; performing style transfer on to-be-corrected eye images in the to-be-corrected eye image set through a style transfer network in the image processing model, to obtain a target eye image; acquiring a training sample matching the usage environment of the image processing model based on the to-be-corrected eye images and the target eye image, the training sample including object eye images matching different gaze positions; and training a correction network in the image processing model through the training sample matching the usage environment of the image processing model, to obtain a model update parameter matching the correction network, and generating a trained image processing model based on the model update parameter.

Abstract: In the field of artificial intelligence technologies, a gaze correction method and apparatus for a face image, a device, a computer-readable storage medium, and a computer program product are provided. The method includes: acquiring an eye image from a face image; determining an eye movement flow field based on the eye image and a target gaze direction, the target gaze direction being a gaze direction to which an eye gaze in the eye image is to be corrected; adjusting a pixel position in the eye image based on the eye movement flow field, to obtain a corrected eye image; and generating a face image with a corrected gaze based on the corrected eye image.

Abstract: A method for managing data processing includes receiving, from a user of a data query system, a data query for data stored in a data store in communication with the data query system. The method also includes receiving a staleness parameter indicating an upper time boundary for the data query. The upper time boundary limits a query response to data within the data store that is older than the upper time boundary. The method further includes determining whether the data stored within the data store satisfies the staleness parameter. When a portion of the data within the data store fails to satisfy the staleness parameter, the method includes generating the query response that excludes the portion of the data that fails to satisfy the staleness parameter.

Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product. The image gaze correction method includes: acquiring a to-be-corrected eye image from a to-be-corrected image, generating, based on the to-be-corrected eye image, an eye motion flow field and an eye contour mask, the eye motion flow field being used for adjusting a pixel position in the to-be-corrected eye image, and the eye contour mask being used for indicating a probability that the pixel position in the to-be-corrected eye image belongs to an eye region, performing, based on the eye motion flow field and the eye contour mask, gaze correction processing on the to-be-corrected eye image to obtain a corrected eye image, and generating a gaze corrected image based on the corrected eye image.