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.

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: 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: Embodiments of the application provide information processing systems, methods and devices based on Internet of Things. An information processing system comprises a server device, a first device and a second device. The first device and second device are both an Internet of Things device. The first device is configured to: in response to detecting that a first acquisition instruction is triggered, acquire biometric feature information, and send the acquired biometric feature information to the server device. The server device is configured to identify a user corresponding to the biometric feature information. The second device is configured to: in response to detecting that a second acquisition instruction is triggered, acquire body movement information associated with the user, and send the acquired body movement information to the server device. The server device is further configured to perform an operation for the user according to the body movement information.

Abstract: A spectrally-resolved Raman water lidar, including: a transmitter unit, a receiver unit, and a data acquisition and control unit. The transmitter unit includes a seeder, a solid Neodymium-doped Yttrium Aluminum Garnet (Nd:YAG) laser, a beam expander, and a first reflecting mirror to emit a 354.8-nm laser beam. The receiver unit includes a telescope, an iris, a collimator, a second reflecting mirror, a first bandpass filter, a beam splitter, a narrow-band interference filter, a third lens, a first detector, a second bandpass filter, a coupler and a home-made dual-grating polychromator to enable simultaneous profiling of backscattered Raman spectrum signals from water vapor, water droplets and ice crystals as well as aerosol fluorescence in the atmosphere. The data acquisition and control unit includes a computer to store the acquired data and guarantee an automatic operation of the lidar system through a time-sequence circuit.

Abstract: Disclosed are bio-based polyester fibers, particularly a PET fibers, and a method of making the same by: contacting bio-based MEG composition with a diacid composition to form a polyester composition; and spinning and/or drawing the resulting polyester composition into a fiber; wherein the bio-based MEG composition comprises: a) monoethylene glycol (MEG); and b) from about 1 ppm to about 5000 ppm of at least one C3-Cy2 1,2-diol, wherein the C3-Cj2 1, 2-diol is linear, branched, or cyclic.

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: 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: 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 method for managing metadata for a transactional storage system include receiving a query request at a snapshot timestamp. The query request requests return of at least one data block from a plurality of data blocks. Each data block includes a corresponding write epoch timestamp and a corresponding conversion indicator indicating whether the data block is active or has been converted at a respective conversion timestamp. The method also includes setting a read epoch timestamp equal to the earliest one of the write epoch and determining whether any of the respective conversion timestamps occurring at or before the snapshot timestamp occur after the read epoch timestamp. The method also includes determining the at least one data block requested by the query request by scanning each of the data blocks including corresponding write epoch timestamps occurring at or after the read epoch timestamp.

Abstract: A video processing method includes obtaining a video frame sequence including a moving target, and obtaining, according to the video frame sequence and by processing circuitry of a neural network model, a motion state feature representing the moving target, the motion state feature being expressed in a time sequence of the video frame sequence. The video processing method also includes obtaining a result of matching between the motion state feature of the moving target and a motion state feature of a designated target.

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: 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: A method for managing metadata for a transactional storage system include receiving a query request at a snapshot timestamp. The query request requests return of at least one data block from a plurality of data blocks. Each data block includes a corresponding write epoch timestamp and a corresponding conversion indicator indicating whether the data block is active or has been converted at a respective conversion timestamp. The method also includes setting a read epoch timestamp equal to the earliest one of the write epoch and determining whether any of the respective conversion timestamps occurring at or before the snapshot timestamp occur after the read epoch timestamp. The method also includes determining the at least one data block requested by the query request by scanning each of the data blocks including corresponding write epoch timestamps occurring at or after the read epoch timestamp.

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: A method and apparatus are disclosed for identifying malicious software in the technical field of computers. The method includes: obtaining, according to a source code of to-be-detected software, a function call diagram of the software; generating a feature sequence of the software according to the function call diagram, the feature sequence including an eigenvalue of at least one feature, the feature being a function in a preset function library, and the eigenvalue of the feature being a quantity of times of calling of the function by the software; and identifying whether the software is malicious software according to the feature sequence and a random forest, the random forest including at least one decision tree, and the decision tree including reference eigenvalues of multiple features. The apparatus includes: an obtaining module, a generation module, and an identification module. The present disclosure may improve identification accuracy.

Abstract: A single-line-extracted pure rotational Raman lidar system, including: a transmitter unit configured to emit extremely narrow-band laser light that is guided into atmosphere zenithward; a receiver unit configured to collect backscattered signals from the atmosphere; and a data acquisition and control unit configured to deliver data and guarantee automatic operation of the lidar system orderly. The transmitter unit employs a powerful injection-seeded Nd: YAG laser to emit 532.23 nm laser beam with a pulse energy of approximately 800 mJ, a repetition rate of 30 Hz and linewidth of <0.006 cm?1. The lidar system has an optical bandwidth of approximately 30 pm for the two Raman channels and an optical bandwidth of 0.3 nm for an elastic channel, as well as a field of view of approximately 0.4 mrad. The two Raman channels extract the N2 anti-Stokes pure rotational Raman line signals with J=6 and 16, respectively.

Abstract: Disclosed are bio-based polyester fibers, particularly a PET fibers, and a method of making the same by: contacting a bio-based MEG composition with a diacid composition to form a polyester composition; and spinning and/or drawing the resulting polyester composition into a fiber; wherein the bio-based MEG composition comprises: a) monoethylene glycol (MEG); and b) from about 1 ppm to about 5000 ppm of at least one C3-C12 1,2-diol, wherein the C3-C12 1, 2-diol is linear, branched, or cyclic.

Abstract: Embodiments of the application provide information processing systems, methods and devices based on Internet of Things. An information processing system comprises a server device, a first device and a second device. The first device and second device are both an Internet of Things device. The first device is configured to: in response to detecting that a first acquisition instruction is triggered, acquire biometric feature information, and send the acquired biometric feature information to the server device. The server device is configured to identify a user corresponding to the biometric feature information. The second device is configured to: in response to detecting that a second acquisition instruction is triggered, acquire body movement information associated with the user, and send the acquired body movement information to the server device. The server device is further configured to perform an operation for the user according to the body movement information.