Abstract: A lawn mower, including: a body; a movement module configured to drive the lawn mower to move; a cutting disc having at least one blade, the cutting disc rotating under driving of a cutting motor to drive the blade to rotate, the blade including a blade body for connecting with the cutting disc and a cutting portion connected with the blade body for performing lawn mowing work; wherein the movement module is configured to drive the lawn mower to move at a travel speed greater than or equal to 1 m/s, the cutting motor is configured to drive the blade to rotate to achieve a linear velocity of the blade greater than or equal to 30 m/s and less than or equal to 70 m/s, and the blade body has a hardness value in a hardness value range of 5-45 HRC.

Abstract: Apparatuses and methods for encoding and decoding a video are provided. The method includes determining whether at least one of two blocks of an image in a video is predicted with a combined inter-intra prediction (CIIP), where the two blocks include a first block (block Q) and a second block (block P). There is a boundary between the two blocks. The method further includes setting a boundary strength (Bs) for the boundary to a first value when at least one of the two blocks is predicted with the CIIP, and performing deblocking filter based on the Bs.

Abstract: A method of video decoding includes receiving a bitstream that comprises coded information of one or more pictures. The coded information indicates an intra prediction of a current block. The method also includes: enabling a reference sample filtering with a bilateral filter when the current block satisfies one or more conditions associated with the reference sample filtering; applying the reference sample filtering with the bilateral filter on reference samples of the current block to obtain filtered reference samples when the reference sample filtering with the bilateral filter is enabled; and reconstructing one or more samples of the current block according to the intra prediction using the filtered reference samples.

Abstract: Provided in the present application are a catalytic graphite material, a preparation method and a use thereof. The catalytic graphite material comprises flake-shaped graphite and hollow spherical graphite particles. The catalytic graphite material has a 3R phase. The catalytic graphite material has a high purity, a high degree of graphitization, and has a 3R phase. The presence of the 3R phase provides more embedding sites for lithium ions. When the catalytic graphite material is used for a negative electrode material of a lithium-ion battery, the catalytic graphite material exhibits the characteristics of high capacity, high first efficiency, and low expansion, thereby significantly increasing the electrochemical properties of the lithium-ion battery such as the capacity, the initial efficiency, etc.

Abstract: Some aspects of the disclosure provide a method of video decoding. The method includes: receiving a bitstream that comprises coded information of one or more pictures; generating, according to the bitstream, at least a to-be-filtered sample, and input samples for filtering the to-be-filtered sample in an in-loop filter, the in-loop filter using a Wiener-based filter with an adaptive filter shape; determining a modified filter shape for the Wiener-based filter, the modified filter shape being adapted according to a relationship between the to-be-filtered sample and the input samples; and applying the Wiener-based filter with the modified filter shape on the input samples to generate a filtered output of the to-be-filtered sample.

Abstract: A video bitstream including coded information of a current block in a current picture is received. The coded information includes prediction samples of the current block. The prediction samples are obtained by a matrix multiplication of a matrix of coefficients and reference samples of the current block. A transform set is determined for the current block based on which of a subset of intra prediction modes is applied to the current block when one of the subset of the intra prediction modes is applied to the current block. The subset of intra prediction modes is derived based on the prediction samples of the current block. The current block is reconstructed based on the prediction samples and the transform set.

Abstract: A method of filtering a sample value of a picture and a video decoding apparatus are disclosed, the method comprises: obtaining a reconstructed sample value for a block of the picture; obtaining filter coefficients for adaptive loop filtering according to a bitstream; obtaining a sum value according to the filter coefficients and the reconstructed sample value for the block; rounding the sum value according to a vertical position of a sample in the block, to obtain a rounded sum value; obtaining a filter reconstructed sample value for the block according to the rounded sum value.

Abstract: Provided in the present application is a method for constructing a DNA library, an adapter element, and a Kit. The method includes performing library construction on a target sample utilizing a primer with 5? phosphorylation modification or an adapter with 5? phosphorylation modification, obtaining a linear amplification library with 5? phosphorylation modification, where the linear amplification library with 5? phosphorylation modification is a linear library suitable for an Illumina sequencing platform; or further circularizing the linear amplification library with 5? phosphorylation modification to obtain a circularized library suitable for an MGI sequencing platform.

Abstract: An argireline co-assembled system formed from betaine-malic acid as a deep eutectic solvent and argireline through non-covalent interaction and a method for preparing an argireline co-assembled system. The system can provide improved skin permeability of argireline and improved stability of argireline in skin care compositions.

Abstract: A video bitstream including coded information of a current block in a current picture of a video is received. Parameters of a model are determined based on the coded information in the video bitstream. The parameters of the model include parameters determined based on a motion compensated picture of the current picture and the current picture. Whether the current block is inter coded based on an inter prediction mode is determined. When the current block is inter coded, a motion compensated block of the current block is determined based on the inter prediction mode. The parameters of the model are applied to the motion compensated block of the current block to obtain a prediction block of the current block. The current block is reconstructed based on the prediction block.

Abstract: Provided in the present application is a method for constructing a DNA library based on an MGI platform and applications thereof. The method includes: ligating a bubble adapter to a target sample to obtain a ligation product; and performing library construction on the ligation product utilizing an amplification primer pair, obtaining an MGI platform based amplified library with dual indexes, where the amplification primer pair has the dual indexes and includes a 5? end library index and a 3? end library index; and the 5? end library index is selected from indexes corresponding to any one of groups of 4-base-balanced phosphorylation ends in Table 1 or Table 2, and the 3? end library index is selected from indexes corresponding to fixedly-matched non-phosphorylation ends corresponding to the 5? end library index group in Table 1 or Table 2.

Abstract: Aspects of the disclosure includes methods and apparatuses for video decoding and encoding and a method of processing visual media data. The method for video decoding includes receiving coded information in a bitstream indicating that a first intra mode coding method using one of (i) a template-based intra prediction mode derivation (TIMD) and (ii) a decoder-side intra mode derivation (DIMD) is not enabled for a current block. The method for video decoding includes determining at least one template-based intra mode with the first intra mode coding method using the one of the TIMD and the DIMD; and when the at least one template-based intra mode is to be excluded from a second intra mode coding method, determining an intra prediction mode of the current block using the second intra mode coding method excluding the at least one template-based intra mode, and reconstructing the current block using the intra prediction mode.

Abstract: This application provides methods and apparatuses for processing of picture data or picture feature data using a neural network with two or more layers. The present disclosure may be applied in the field of artificial intelligence (AI)-based video or picture compression technologies, and in particular, to the field of neural network-based video compression technologies. According to some embodiments, two kinds of data are combined during the processing including processing by the neural network. The two kinds of data are obtained from different stages of processing by the network. Some of the advantages may include greater scalability and a more flexible design of the neural network architecture which may further lead to better encoding/decoding performance.

Abstract: Some aspects of the disclosure provide a method of video decoding. In an example, a coded video bitstream is received. The coded video bitstream includes coded information of one or more pictures. Based on the coded information, flipping information associated with at least a portion of a current picture in the one or more pictures is determined, the flipping information associated with the portion indicates at least one of a flipping direction and/or a coding order of a plurality of blocks in the portion. The portion is reconstructed according to the flipping information associated with the portion. The current picture is reconstructed to include the portion that has been reconstructed according to the flipping information.

Abstract: Apparatuses, systems, and techniques to cause a plurality of queues to be created and operations to be performed using the plurality of queues. In at least one embodiment, a processor comprises circuitry to cause a plurality of queues to be created between a first set of threads and a second set of threads, and cause the second set of threads to begin performing operations on a portion of data received from the first set of threads through a first queue of the plurality of queues, while one or more other portions of the data are being transmitted through one or more other queues of the plurality of queues.

Abstract: One or more template predictions are generated for a template of a current block based on one or more prediction modes. The template includes neighboring samples of the current block. Each of the one or more template predictions is generated based on a respective one of the one or more prediction modes. One or more filters are derived for the current block. Each of the one or more filters is derived based on (i) filter index information or (ii) a respective one of the one or more template predictions and a template reconstruction of the template. One or more predictions of the current block are determined. Each of the one or more predictions is determined based on a respective one of the one or more prediction modes. A final prediction of the current block is determined by applying the one or more filters to the one or more predictions.

Abstract: An example method of video coding includes receiving a video bitstream comprising a plurality of blocks and a plurality of quantized transform coefficients, and determining a quantized level for a quantized transform coefficient of the plurality of quantized transform coefficients. The method also includes selecting a quantizer from a set of three or more quantizers based on the quantized level, and deriving, using the selected quantizer, a dequantized transform coefficient for a first quantized transform coefficient of the plurality of quantized transform coefficients. The method further includes reconstructing a first block using the dequantized transform value.

Abstract: Aspects of the disclosure includes methods and apparatuses for video decoding and encoding and a method of processing visual media data. The method for video decoding includes receiving coded information in a bitstream indicating that a current block is predicted based on a combination of a plurality of intra prediction modes. The method includes determining a plurality of intra predictions of the current block based on the respective intra prediction modes, determining a fused prediction of the current block based on a weighted summation of the plurality of intra predictions where the weighted summation is according to respective weights associated with the plurality of intra predictions, and reconstructing the current block based on the fused prediction. Each weight is based on one of a plurality of weighting functions that depends on a sample location (x, y) and the intra prediction mode of the intra prediction associated with the respective weight.

Abstract: Some aspects of the disclosure provide a method of video decoding. In an example, a coded video bitstream is received. The coded video bitstream includes coded information of a current block in a current picture. The current block is coded by a non-conventional intra prediction mode that is in a pre-defined set of non-conventional intra prediction modes. A virtual intra prediction mode is derived according to available information associated with the non-conventional intra prediction mode. A transform kernel is selected from at least two transform kernel sets according to the virtual intra prediction mode. The current block is reconstructed based on the transform kernel.

Abstract: Some aspects of the disclosure provide a method of video decoding. In an example, a coded video bitstream is received. The coded video bitstream includes coded information of a current block in a current picture. When the current block is predicted in a learning-based prediction mode, a first transform kernel for the current block is determined, the first transform kernel is different from a second transform kernel that is applied when a non-learning based prediction is used on the current block. An inverse transform with the first transform kernel is applied on transform coefficients decoded from the coded video bitstream to obtain a residual block. The current block is reconstructed based on a combination of the residual block and a prediction block of the current block according to the learning-based prediction mode.