Abstract: A cyclic shift method includes a communication apparatus that determines a cyclic shift of a root sequence, where the cyclic shift of the root sequence is associated with a sequence length of the root sequence, a root sequence number, a maximum round-trip time, and a maximum Doppler frequency shift; and the communication apparatus determines a cyclic shift sequence based on the cyclic shift of the root sequence, where an ambiguity function of the cyclic shift sequence is equal to zero within a range of the maximum round-trip time and the maximum Doppler frequency shift. The communication apparatus can obtain, based on the root sequence, the cyclic shift sequence whose ambiguity function is equal to zero.

Abstract: In a method, M reference signals are indicated by segments of information (for example, first information) obtained by a terminal through error correction encoding. After the terminal sends the M reference signals to a network device on a scheduling-free resource, the M reference signals may change due to interference between different users when being received by the network device. However, because indication information of these reference signals is obtained through error correction encoding, the network device determines, based on the received reference signals, information indicating the reference signals, and performs error correction decoding on the information, to recover the first information. In this way, the network device can decode scheduling-free transmission by using the first information, so that decoding can still be performed when pilot resources used by different users for scheduling-free transmission collide.

Abstract: A method for decoding includes: a prediction mode of a current block is determined; at least one context model is determined according to the prediction mode of the current block; a bitstream is decoded according to the at least one context model to determine a bin string of the current block, where the bin string includes at least one binary symbol; inverse binarization processing is performed on the bin string to determine a value of first syntax identification information; and when the first syntax identification information indicates that the current block uses a first transform mode, a transform kernel of the current block is determined, and inverse transform is performed on transform coefficients of the current block according to the transform kernel to determine a residual block of the current block.

Abstract: Instance-wise, multi-modal, grasp generation systems and methods may process imaging data and depth data of items in order to generate item grasping data. For example, imaging data and depth data may be processed to isolate single items or instances as instance data. Then, the instance data may be processed using heuristic and/or learning modules. Further, the modules may generate item grasping data as outputs, including grasp modes, grasp positions, and/or grasp orientations.

Abstract: A decoding method is provided and includes the following. A first difference in sample values between a first reference block pointed to by a first candidate motion vector (MV) of a current block and a second reference block pointed to by a second candidate MV of the current block is determined. A second difference in sample values between a template of the current block and a template of the first reference block is determined. A third difference in sample values between the template of the current block and a template of the second reference block is determined. A first prediction MV and a second prediction MV of the current block are obtained by performing motion estimation on the current block at least according to the first difference, the second difference, and the third difference. A prediction block of the current block is obtained.

Abstract: Disclosed in the present application are an encoding method, a decoding method, a bit stream, an encoder, a decoder, and a storage medium. The method includes: determining a texture feature index of a current block; determining a transformation kernel group of the current block on the basis of the texture feature index; determining a transformation kernel of the current block on the basis of the transformation kernel group; and determining a transformation coefficient of the current block, performing inverse transformation on the transformation coefficient of the current block on the basis of the transformation kernel, and determining a residual block of the current block.

Abstract: An encoding method includes: determining a mode parameter of a chroma component of a current block; in a case where the mode parameter satisfies a first condition, determining a first transform kernel of the chroma component of the current block; and determining transform coefficients of the chroma component of the current block, and performing inverse transform on the transform coefficients of the chroma component of the current block according to the first transform kernel to determine a residual block of the chroma component of the current block.

Abstract: A method for configuring a transmission configuration without dynamic grant, includes: a terminal apparatus determines first information, where the first information indicates first configuration information of a first transmission configuration without dynamic grant; the terminal apparatus sends the first information to a first apparatus; and when a timer of the terminal apparatus expires, the terminal apparatus performs transmission without dynamic grant with the first apparatus based on the first configuration information of the first transmission configuration without dynamic grant.

Abstract: A method for configuring a transmission configuration without dynamic grant and a related apparatus. The method includes: a terminal apparatus receives downlink control information (DCI)/sidelink control information (SCI) sent by a first apparatus, where the DCI/SCI is used for retransmission and is used to configure a first transmission configuration without dynamic grant; and the terminal apparatus obtains first configuration information of the first transmission configuration without dynamic grant based on the DCI/SCI.

Abstract: A compact, highly expandable sorbent made from polymeric materials is contemplated. The resulting sorbent can absorb more than 20 times its original volume owing to an internal foam-like structure having micron-level voids bisected by internal struts which themselves have nano-level pores. Further, this sorbent can be compressed and reused multiple times, thereby making it an ideal substance to facilitate separation of disparate fluids, such as oils floating on or within an aqueous solution.

Abstract: Disclosed in the present application are a coding method, a decoding method, an encoder and a decoder. The coding method includes: selecting a plurality of coded related blocks corresponding to a current block from a predetermined area, the predetermined area comprising an area having a correlation with the current block; on the basis of information of the plurality of related blocks, determining a context index parameter of a first syntax element of the current block; and on the basis of a context corresponding to the context index parameter, coding the first syntax element of the current block.

Abstract: A decoding method, an encoding method, a decoder, and an encoder are provided. The decoding method includes the following. A bitstream is decoded to obtain a first transform coefficient of a current block. A first transform is performed on the first transform coefficient to obtain a residual block of the current block. The current block is predicted based on a first prediction mode and a second prediction mode which correspond to a geometric partitioning mode (GPM) to obtain a prediction block of the current block. A reconstructed block of the current block is obtained based on the prediction block of the current block and the residual block of the current block.

Abstract: A decoding method, an encoding method, a decoder, and an encoder are provided. The decoding method includes the following. A bitstream is decoded to obtain a first transform coefficient of a current block. A first transform is performed on the first transform coefficient of the current block to obtain a second transform coefficient of the current block. A second transform is performed on the second transform coefficient to obtain a residual block of the current block. The current block is predicted based on a first prediction mode and a second prediction mode which correspond to a geometric partitioning mode (GPM) to obtain a prediction block of the current block. A reconstructed block of the current block is obtained based on the prediction block of the current block and the residual block of the current block.

Abstract: A decoding method, an encoding method, an encoder, and a decoder are provided. The decoding method includes that: determining, by parsing a bitstream, last significant coefficient location reverse identification information of a current slice, and coordinate information of a last significant coefficient of a current block of blocks in the current slice; in response to the last significant coefficient location reverse identification information indicating that last significant coefficient location reverse is applied to the blocks in the current slice, obtaining a location of the last significant coefficient of the current block by performing calculation on the coordinate information of the last significant coefficient; and determining coefficients of the current block by decoding coefficients located above the location of the last significant coefficient in a preset scanning order.

Abstract: Provided are articles and membranes, which may be functional membranes, that address the limitations of membranes known in the art. The membranes can be formed from porous substrates, carbon nanotubes, CO2-philic components, and quantum dots and provide much higher selectivity than other membranes previously reported, which is at least an order of magnitude higher than commercial membranes, and thus can enrich CO2 from 4% to 97% in one step. Also, the membranes of the present disclosure are stable under high vacuum operation and can maintain high CO2 separation performance for at least 100 hours. For example, highly permeable membranes or highly selective membranes can be obtained by manipulating nano-confined frameworks and active CO2-philic components.

Abstract: A method for temporal motion information prediction is provided. The method includes the following. At least one non-adjacent position of a current block is determined. First temporal motion information of the current block is determined according to motion information of the at least one non-adjacent position in a coded picture. The coded picture is a reference picture of the current block, and the first temporal motion information of the current block is determined according to the motion information of the at least one non-adjacent position in the coded picture as follows. A collocated block corresponding to the non-adjacent position in the reference picture is determined. Motion information of the collocated block is obtained. The first temporal motion information of the current block is obtained by scaling a motion vector in the obtained motion information.

Abstract: The present disclosure provides a method for training a model, a method and an apparatus for generating molecules, and relates to the technical field of computer technology, particularly the technical field of artificial intelligence. The particular implementation may include: obtaining first molecular samples and second molecular samples; determining molecular difference information based on the first molecular samples and the second molecular samples; training an initial encoding module and an initial generation module based on the molecular difference information to obtain a target encoding module and a target generation module; and determining a molecule generation model based on the target encoding module and the target generation module.

Abstract: In one embodiment, a method includes receiving a first input by a user from a client system associated with the user, wherein the first input is in a voice modality, analyzing the first input to generate one or more candidate hypotheses, determining one or more modalities for presenting output generated by the one or more computing systems to the user at the client system, and sending instructions to the client system for presenting one or more suggested auto-completions corresponding to one or more of the candidate hypotheses, respectively, wherein each suggested auto-completion comprises the corresponding candidate hypothesis, and wherein the one or more suggested auto-completions are presented in the one or more determined modalities.

Abstract: Intra prediction methods, an encoder, and a decoder are provided. In the method, a template of a current block is divided into sub-templates; a prediction mode is determined according to costs of candidate modes on the sub-templates of the current block; an intra prediction value of a current frame can then be determined according to the prediction mode.

Abstract: A video coding method and apparatus are provided in the disclosure. In the disclosure, a weight derivation mode and K prediction modes are used as a combination, so that a weight derivation mode and K prediction modes used by a current block are indicated in the form of a combination in a bitstream. In this case, at a decoding end, a first index is obtained by decoding the bitstream, the first index indicates a first combination consisting of one weight derivation mode and K prediction modes, a first weight derivation mode and K first prediction modes included in the first combination are determined according to the first index, and a current block is predicted according to the first weight derivation mode and the K first prediction modes to obtain a prediction value of the current block.