Abstract: A method including deforming the reference sample frame through generator in an initial generative model to generate reconstructed sample frames; inputting each reconstructed sample frame and the corresponding to-be-encoded sample frame into a first discriminator in the initial generative model to obtain a first identification result; splicing the to-be-encoded sample frames in timestamp order to obtain a spliced to-be-encoded sample frame, and splicing the reconstructed sample frames to obtain a spliced reconstructed sample frame; inputting the spliced to-be-encoded sample frame and the spliced reconstructed sample frame into a second discriminator in the initial generative model to obtain a second identification result; obtaining an adversarial loss value based on the first identification result and the second identification result; and training the initial generative model based on the adversarial loss value.

Abstract: The present invention provides a method for predicting whether an individual has early myocardial infarction. The method includes: providing a blood sample of the individual; testing a marker in the blood sample to obtain the quantity of the marker; comparing the obtained number with a preset threshold, and judging whether the individual will suffer from myocardial infarction by the comparison, wherein the marker is any one or more nucleotide sequences of miRNA, lncRNA or circRNA.

Abstract: A method of controlling an autonomous vehicle and an electronic device are provided, which relate to a field of artificial intelligence technology, and in particular to a field of autonomous driving technology. The method includes: acquiring a vehicle state configuration information from a cloud; enabling a task receiving function of the vehicle, in response to the vehicle state configuration information indicating that the vehicle is in an automatic operation state; acquiring a task information from the cloud in response to the task receiving function being enabled; and controlling the vehicle according to the task information.

Abstract: A single-domain antibody or an antigen-binding fragment thereof for neutralizing canine parvovirus (CPV) including a heavy chain encompassing a variable region. The variable region includes three complementarity-determining regions (CDRs): CDR1, CDR2, and CDR3. The three complementarity-determining regions CDR1, CDR2, and CDR3 have a combination of different amino acid sequences. The antibodies effectively prevent CPV from infecting F81 cells, exhibiting high binding affinity and specificity, and significant neutralizing activity against CPV. Consequently, the antibody sequences and expression vectors of the disclosure are valuable tools for various applications in CPV epitope identification, prevention, treatment, and diagnosis.

Abstract: A framework that comprises a reinforcement-learning-based neural-network for compressing, and for transmitting the compressed genomes over a data network in repeated steps each of a plurality of species. The framework also takes data on inefficient transmission of compressed genome in the preceding step, and feeds this data forward to modify the selection of the compression parameter in the present step. The invention provides the possibility that the genome of any species may be compressed optimally and transmitted in optimal efficiency. That is, big genome sequence is neither over compressed, which takes a lot of processing time leading to delays, nor under compressed which will require more time to transmit.

Abstract: Methods and apparatuses are provided for performing generative face video compression by using a face feature translator. An exemplary method includes receiving a bitstream associated with a first type of facial feature data representing a facial picture; and decoding, using coded information of the bitstream, one or more pictures, wherein the decoding includes: transforming the first type of facial feature data into a second type of facial feature data; and reconstructing the facial picture based on the second type of facial feature data.

Abstract: A method of decoding a bitstream to output one or more pictures for a video stream. The method includes receiving a bitstream comprising one or more types of facial representation parameters; and decoding, using coded information of the bitstream, one or more pictures. The decoding includes decoding the one or more types of facial representation parameters; converting the one or more types of facial representation parameters into one or more dense motion flows having a common format; and generating a facial picture based on the one or more dense motion flows and a key reference picture of the one or more pictures.

Abstract: A single-domain antibody or an antigen-binding fragment thereof to Senecavirus A, the single-domain antibody or the antigen-binding fragment thereof being selected from 52 amino acid sequence groups, and each of the 52 amino acid sequence groups including a first variable domain of heavy chain VH-CDR-1, a second variable domain of heavy chain VH-CDR-2, and a third variable domain of heavy chain VH-CDR-3. The first variable domain of heavy chain VH-CDR-1 has an amino acid sequence represented by one of SEQ ID NO: 1-SEQ ID NO: 52. The second variable domain of heavy chain VH-CDR-2 has an amino acid sequence represented by one of SEQ ID NO: 53-SEQ ID NO: 104. The third variable domain of heavy chain VH-CDR-3 has an amino acid sequence represented by one of SEQ ID NO: 105-SEQ ID NO: 156.

Abstract: A system and a method for a computer implemented method of image enhancement includes the steps of receiving an input image, wherein the input image is a low light image, processing the input image, by a pre trained image enhancer, to generate an initial enhanced image, accessing, from an image memory, a response value corresponding to a sample specific property a normal image, generating an adjustment factor based on the response value from the image memory, generating a final enhanced image by applying the adjustment factor to the initial enhanced image.

Abstract: Aspects concern a data base system comprising a data base for storing entity states, a configuration interface configured to receive, for an entity state type, a specification of an entity state data format for writing an entity state of the entity state type to the data base and a data base access interface configured to receive a write request for writing an entity state to the data base, check whether the write request includes entity state data for writing the entity state to the data base in an entity state data format specified for writing entity states of the entity state's entity state type to the data base, and write the entity state data to the data base if the write request includes the entity state data in an entity state data format specified for writing entity states of the entity state's entity state type to the data base.

Abstract: Disclosed is a method for preparing aluminum hydroxide nanowires by a template process. The method includes: (1) dispersing nanocellulose in water to obtain a solution having a concentration of 0.1%-10% by mass; adding an aluminum salt solution to the solution obtained in step (1) and mixing; adding an alkaline solution thereto while stirring, and subjecting a resulting mixture to reactive precipitation, and washing with water and drying, to obtain the aluminum hydroxide nanowires, wherein a mass of an aluminum salt in the aluminum salt solution is in a range of 1-100% of a mass of the nanocellulose, and an alkali in the alkaline solution has a same amount in moles as the aluminum salt in the aluminum salt solution.

Abstract: The present disclosure provides a central staged combustion chamber with self-excited sweeping oscillating fuel injection nozzles, including an outer housing with a cavity inside, a main stage coaxially disposed with the outer housing, and a pilot stage coaxially disposed with the outer housing. An annular fuel passage is used for connecting a plurality of self-excited sweeping oscillating fuel injection nozzles, and the self-excited sweeping oscillating fuel injection nozzles are suitable for injecting oscillating liquid fuel into a primary swirling passage. The fuel is output in a fan shape through each of the self-excited sweeping oscillating fuel injection nozzles and is dispersed by an incoming flow through the swirling passage, so that the atomization performance and spatial distribution uniformity of the fuel can be greatly improved.

Abstract: Two-dimensional face presentation attacks are one of most notorious and pervasive face spoofing types, causing security issues to facial authentication systems. To tackle these issues, a cost-effective face anti-spoofing (FAS) system based on acoustic modality, named as Echo-FAS, is devised, which employs a crafted acoustic signal to probe the presented face. First, a large-scale, high-diversity, acoustic-based FAS database, named as Echo-Spoof, is built. Based upon Echo-Spoof, we design a two-branch framework combining global and local frequency features of the presented face to distinguish live vs. spoofing faces. Echo-FAS has the following merits: (1) it only needs one speaker and one microphone; (2) it can capture three-dimensional geometrical information of the presented face and achieve a remarkable FAS performance; and (3) it can be handily allied with RGB-based FAS models to mitigate the overfitting problem in the RGB modality and make the FAS model more accurate and robust.

Abstract: In one aspect, a preparation method for ferric phosphate includes the following steps: (a) feeding a ferrous sulfate solution and a phosphate solution including hydrogen peroxide simultaneously into a first reactor for mixing and reacting to obtain nucleated ferric phosphate; wherein a molar ratio of iron element to phosphorus element in the feeding process is 1:1, and a stirring speed is 500-600 r/min; (b) discharging the nucleated ferric phosphate to a second reactor for growth to obtain amorphous ferric phosphate slurry, and post-processing the amorphous ferric phosphate slurry to obtain the high tap density ferric phosphate; wherein a stirring speed is 120-150 r/min. The first reactor is a small-volume reactor, and the second reactor is a large-volume reactor.

Abstract: The present invention discloses a car cover limiting structure, it includes a guide rail, a side rail and a first side rail limit positioning block, the first side rail limit positioning block is connected to the side rail, the first side rail limit positioning block includes a barrier plate, the barrier plate is used to resist and limit with the guide rail. By setting the car cover limiting structure, the present invention enables the car cover does not to move from side to side in use, so as to facilitate the opening and closing of the car cover.

Abstract: A computer-implemented method for facilitating encoding of video data. The method includes performing an operation to determine prediction residuals associated with a unit of the video data, and, processing, using a neural network arrangement, the prediction residuals associated with the unit of the video data to determine model parameters associated with a rate-distortion model for the unit of the video data. The model parameters are arranged to facilitate encoding of at least the unit of the video data. The method can be applied to multiple ones of such unit of the video data.

Abstract: A method for learning-based point cloud geometry compression includes: given a source point cloud, regressing an aligned mesh that is driven by a set of parameters from a deformable template mesh, quantizing the set of parameters into a parameter bitstream, generating an aligned point cloud from the quantized parameters by mesh manipulation and mesh-to-point-cloud conversion, extracting features from both the source point cloud and the aligned point cloud based on sparse tensors including coordinates and features, the coordinates being encoded into a coordinate bitstream, warping the features of the aligned point cloud onto the coordinates of the source point cloud, obtaining residual features through feature subtraction, processing the residual features using an entropy model into a residual feature bitstream, and obtaining a reconstructed point cloud by processing the parameter bitstream, the coordinate bitstream and the residual feature bitstream.

Abstract: The present invention discloses a car cover with rotating shaft hinges, including a large front bar, a rear bar, a guide rail and a plurality of rotating shafts, the guide rail is connected to the car body, the large front bar, the rear bar and the plurality of rotating shafts are all connected to the guide rail, at least one of the rotating shafts is connected to a rotating shaft hinge, the rotating shaft includes a first rotating shaft, a second rotating shaft and a third rotating shaft. The car cover in this invention may includes a plurality of rotating shaft structures or only one rotating shaft structure, the rotating shafts are connected at the rotating shaft by a rotating shaft hinge, which makes the rotating shaft a longer service life.

Abstract: A method for compressing three-dimensional (3D) medical image. The method includes obtaining image data of a 3D medical image, performing a data conversion operation to convert the image data of the 3D medical image into video data of a sequence of frames each corresponding to a respective 2D image, and performing a video encoding operation to encode the video data of the sequence of frames to obtain encoded content data. The encoded content data can be used for reconstructing the 3D medical image.

Abstract: There is provided a computer-implemented method for learned video compression, which includes processing a current frame (xt) and previously decoded frame ({circumflex over (x)}t?1) of a video data using a motion estimation model to estimate a motion vector (vt) for every pixel, compressing the motion vector (vt) and reconstructing the motion vector (vt) to a reconstructed motion vector ({circumflex over (v)}t), applying an enhanced context mining (ECM) model to obtain enhanced context ({umlaut over (C)}E) from the reconstructed motion vector ({circumflex over (v)}t) and previously decoded frame feature (x?t?1), compressing the current frame (xt) with the assistance of the enhanced context ({umlaut over (C)}E) to obtain a reconstructed frame ({circumflex over (x)}t?), and providing the reconstructed frame ({circumflex over (x)}t?) to a post-enhancement backend network to obtain a high-resolution frame ({circumflex over (x)}t).