Abstract: Embodiments of the disclosure provide a method for encoding feature data, a method for decoding feature data, and a decoder. The method for encoding feature data includes the following. Feature data of multiple channels corresponding to a picture to-be-processed is obtained. Feature data of a reference channel in the feature data of the multiple channels is determined. Sorted feature data of the multiple channels is obtained by sorting, starting from the feature data of the reference channel, the feature data of the multiple channels in a descending order of similarity among the feature data of the multiple channels. The sorted feature data of the multiple channels is spliced to obtain a target feature frame sequence. The target feature frame sequence is encoded to generate a bitstream.

Abstract: A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.

Abstract: Described herein are mRNA carrier systems and methods of their use for entering the cytoplasm and expressing carried mRNA, to induce a tumor killing effect. The mRNA carrier systems can comprise DNA or RNA nanostructures. Also described herein are methods of treating cancer using the mRNA carrier systems described herein.

Abstract: In a point cloud attribute decoding method and device, Hilbert order is used as the coding order of point cloud attributes. The nearest neighbor points in the three-dimensional space of the current point are found in several points before the current point and are used as the prediction points of the current point. In the worst case, the distance in the three-dimensional space of the two points with a distance of n on the Hilbert order is less than or equal to n1/2, while the distance in the three-dimensional space of the two points with a distance of n on the Morton order may be greater than the maximum dimension length of the point cloud. The average distance between K points in the preceding order and the current point in Hilbert sequence is smaller than that between K points in the preceding order and the current point in Morton sequence.

Abstract: A battery that may be exposed to high temperatures such as when steam sterilizing that retains its capacity and power delivery is comprised of a cathode comprised of lithium metal phosphate, an anode comprised of graphitic carbon, a separator comprising a material having a melt temperature of at least 150° C. and an electrolyte comprising a low boiling point solvent, a high boiling point solvent and a salt, the salt being comprised of lithium difluoro(oxalate)borate and lithium bis (trifluoromethanesulfonimide), and the lithium bis (trifluoromethanesulfonimide), by weight, is a majority of the salt present in the electrolyte.

Abstract: A battery that may be exposed to high temperatures such as when steam sterilizing that retains its capacity may be comprised a cathode comprised of lithium metal oxide, an anode comprised of graphitic carbon, a separator comprising a material having a melt temperature of at least 140° C. and an electrolyte comprising a low boiling point solvent, a high boiling point solvent and a salt, wherein the battery may contain two or more high boiling point solvents or the salt be comprised of lithium difluoro(oxalate)borate.

Abstract: The present invention belongs to the field of acaricides, and relates to a liquid formulation of a biphenyl-containing compound and an application thereof. A liquid formulation of a biphenyl-containing compound takes compound A as an active component and comprises at least one carrier and at least one auxiliary. The weight percentage of the active component in the liquid formulation is 0.1%-99%. The liquid formulation of the present invention can control the particle size of the liquid formulation through a good auxiliary system, and has the characteristics of good dispersibility, high suspension rate, good biological activity, low dosage, low cost, resistance to rain washing, low residue and low toxicity to people and animals.

Abstract: Provided in the present disclosure is a strain of Lacticaseibacillus rhamnosus DY801 and an application thereof. The Lacticaseibacillus rhamnosus DY801 is deposited in the Guangdong Microbial Culture Collection Center (GDMCC) on Oct. 9, 2022, with a deposit number of GDMCC 62853. The Lacticaseibacillus rhamnosus DY801 provided by the present disclosure may inhibit oxidative stress in the intestinal tract and damage to the small intestinal villi under radiotherapy and chemotherapy conditions by producing a large amount of glutathione in order to reduce inflammatory cytokines, which is also tolerant to artificial gastric and intestinal fluids, and has no obvious toxic side effects on the human body, providing a high level of safety.

Abstract: Provided are an antibody specifically binding to 4-1BB and an antigen-binding fragment thereof. The antibody specifically binding to 4-1BB and the antigen-binding fragment of the antibody have high specificity, and after being binded to an antigen, the antibody and the antigen-binding fragment thereof can enhance an immune killing function of T cells, can induce activation of immune cells and promote secretion of cytokines, and can significantly inhibit the growth of tumors in the body.

Abstract: A backplane includes: a substrate including a circuit structure layer and a second reflective layer, a first reflective layer disposed on a bearing surface of the substrate, a plurality of light-emitting diode chips, and a plurality of optical structures. The first reflective layer includes a plurality of through holes spaced apart. A light-emitting diode chip in the plurality of light-emitting diode chips is located in a through hole. The plurality of light-emitting diode chips are electrically connected to the circuit structure layer. The circuit structure layer is configured to drive the plurality of light-emitting diode chips to emit light. An optical structure in the plurality of optical structures covers the light-emitting diode chip, a light incident surface of the optical structure is in contact with a light exit surface of the light-emitting diode chip, and a light exit surface of the optical structure is a curved surface.

Abstract: Embodiments are directed to managing visualizations of data. Visualizations to monitor may be determined based on metrics associated with the monitored visualizations. Mark values may be sampled from each monitored visualization such that the sampled mark values may be stored with a timestamp. If an amount of the sampled mark values for a monitored visualization exceeds a threshold value mark models may be trained to classify a portion of the sampled mark values associated with the monitored visualization such that the mark models may predict ranges of values for the classified mark values associated with the monitored visualization. If the portion of the classified mark values associated with the monitored visualization has a value outside of the predicted range values, indicating that the monitored visualization may be associated with an anomalous mark value.

Abstract: Embodiments of the disclosure provide an encoding method, a decoding method, an encoder, a decoder, and a storage medium. The method includes the following. An encoding result of a current block, a target index for the current block, and a block-coding enable flag for the current block are obtained by parsing a bitstream. A feature map splicing order is obtained. When the block-coding enable flag is valid, target block-coding motion information corresponding to the target index is determined based on the feature map splicing order and pixel position information of the current block. The encoding result of the current block is decoded based on the target block-coding motion information.

Abstract: An image processing method, an encoding method, an image processing apparatus, and an encoding apparatus are provided. The image processing method includes the following operations. An encoded bitstream is received from a trained encoder. The encoded bitstream is decoded by a trained decoder to obtain a decoded reconstructed image. The decoded reconstructed image or the decoded reconstructed image subjected to image post-processing is processed by a trained task execution network to perform or complete a machine learning task. The trained encoder and the trained decoder belong to a trained codec network.

Abstract: A backplane includes: a substrate including a circuit structure layer and a second reflective layer, a first reflective layer disposed on a bearing surface of the substrate, a plurality of light-emitting diode chips, and a plurality of optical structures. The first reflective layer includes a plurality of through holes spaced apart. A light-emitting diode chip in the plurality of light-emitting diode chips is located in a through hole. The plurality of light-emitting diode chips are electrically connected to the circuit structure layer. The circuit structure layer is configured to drive the plurality of light-emitting diode chips to emit light. An optical structure in the plurality of optical structures covers the light-emitting diode chip, a light incident surface of the optical structure is in contact with a light exit surface of the light-emitting diode chip, and a light exit surface of the optical structure is a curved surface.

Abstract: An encoding method, a decoding method, an encoder, a decoder, and a storage medium are provided. The encoding method comprises: determining input feature map data (S201); performing relevant processing on the input feature map data to obtain a plurality of feature sub-maps (S202); reordering the plurality of feature sub-maps to obtain a quasi time domain sequence and corresponding reordering information (S203); and encoding the quasi time domain sequence and the reordering information to generate a bitstream (204).

Abstract: This application relates to the development and use of lignin-based carbon materials which can be used for energy storage and environmental applications. Included are methods of preparing microporous activated carbon having a controlled, often high surface area and a controlled often high mesopore ratio, and a method of preparing carbon dots, for example carbon quantum dots.

Abstract: A data encoding method includes obtaining an attribute residual of a current point cloud point, binarizing the attribute residual to obtain a binary code of the current point cloud point that includes a first binary code indicating a first flag bit and a second binary code indicating a second flag bit, selecting a first context model from a context model list according to a first condition, selecting a second context model from the context model list according to a second condition, encoding the first binary code using the first context model, and encoding the second binary code using the second context model. The first condition and the second condition are different for the first context model and the second context model corresponding to a same index in the context model list.

Abstract: A feature data encoding method is provided. First feature data corresponding to each of channels to be encoded is determined; data type conversion processing is performed on the first feature data corresponding to each channel to obtain second feature data that meets a data input condition of an apparatus for encoding feature data; spatial re-expression is performed on the second feature data corresponding to each channel to obtain third feature data, wherein a height of the third feature data is a first height, a width of the third feature data is a first width, and the third feature data comprises the second feature data located at a target position of each of the channels; and the third feature data is encoded and signalled in a bitstream.

Abstract: A data encoding method includes determining a value of a syntax element of point cloud data of a point cloud. The point cloud data includes attribute values of the point cloud and the syntax element indicates a search range of the attribute values during prediction encoding. The method further includes performing prediction processing on the attribute values according to the search range to obtain residuals of the attribute values, and encoding the residuals and a difference between the value of the syntax element and a constant value to generate code stream data. The constant value is a positive number.