Abstract: Aspects of the disclosure include methods and apparatuses for video coding. One of the apparatuses includes processing circuitry that receives a coded video bitstream that includes a current picture with a block. The processing circuitry determines a prediction block of the block using one of an intra block copy (IBC) mode and an intra template matching (IntraTMP) mode. If boundary filtering is to be applied to the block, the processing circuitry applies the boundary filtering to a prediction sample located at a position (x?,y?) in the prediction block by determining a parameter W of the boundary filtering based on coded information of the block; determining weights used in the boundary filtering by right shifting the parameter W according to the position (x?,y?); and generating a filtered prediction sample based on a linear combination of reference samples and the prediction sample according to the determined weights.

Abstract: A video bitstream is received. The video bitstream includes a current block comprising a plurality of subblocks and a template region of the current block comprising a plurality of template subblocks adjacent to at least one of a top side and a left side of the current block. A motion vector (MV) located in a center position of the current block is determined. The MV is determined based on at least one MV of the plurality of subblocks of the current block. A MV for each of the plurality of template subblocks is determined based on the MV located in the center position of the current block and a respective MV of a corresponding subblock of the plurality of subblocks that is adjacent to the respective template subblock. The current block is reconstructed based on the determined MVs for the plurality of template subblocks.

Abstract: An approach for encoding/decoding video data including parsing video data to obtain partitioning parameters; obtaining a partitioned super block; and decoding based on the partitioned super block, wherein based on a luma block area size, or a luma splitting depth of the smallest luma block, either luma blocks and chroma blocks of the partitioned super block are partitioned based on a first block partitioning structure, or the luma blocks are partitioned based on the first block partitioning structure, and the chroma blocks are partitioned based on a second block partitioning structure.

Abstract: The present invention relates to a ventilating and blanking device for a coal storage Eurosilo. The ventilating and blanking device includes a top blanking pipe, an axial flow fan and a baffle door, the top blanking pipe including a first pipeline and a second pipeline, an air supply pipe is connected to a side wall of the second pipeline, and the baffle door is connected to a driving mechanism; during blanking, the driving mechanism drives the baffle door so as to make the baffle door close the air supply pipe and the axial flow fan is shut off; and during ventilation, the driving mechanism drives the baffle door so as to make the baffle door close the first pipeline, and the axial flow fan is turned on. Compared with the prior art, the present invention has the advantages of ventilation efficiency, good ventilation effect, etc.

Abstract: A low-cost modular liquid nitrogen low-temperature multi-nuclear magnetic resonance probe includes a Dewar, a pluggable coil and a front-end gain amplifier. The Dewar includes a cylindrical sandwich chamber, the center of the cylindrical sandwich chamber constitutes a room-temperature chamber, a sandwich of the cylindrical sandwich chamber is divided into a vacuum chamber and a liquid nitrogen chamber by a liquid nitrogen vessel wall, the vacuum chamber is located between the room-temperature chamber and the liquid nitrogen chamber, the pluggable coil and the front-end gain amplifier are provided in the vacuum chamber, the pluggable coil comprises a coil portion and a pluggable base, the coil portion is in pluggable connection with the pluggable base, and the pluggable coil is connected with the front-end gain amplifier. The probe realizes the transmission of radio frequency pulses and the reception of magnetic resonance signals, and is applicable to whole-body imaging of a small animal.

Abstract: Provided are a method for determining an equivalent speed, an apparatus, a device, and a storage medium. The method includes the steps described below. The heart rate-speed relationship of a user in a standard environment is acquired. A first heart rate and a first speed of the user are acquired. An equivalent speed of the user in the standard environment is determined according to the first heart rate, the first speed, and the heart rate-speed relationship. The method for determining an equivalent speed disclosed in the present invention converts the current speed of a user into an equivalent speed in a standard environment by using the heart rate-speed relationship in the standard environment.

Abstract: The disclosure provides for compounds and methods for modulating or inhibiting glutaminyl-peptide cyclotransferase-like protein (QPCTL). In one aspect, described herein are compounds of Formulas (I), (Ia), (Ib), (Iaa), (Iab), (Iba), (Ibb), (II), (IIa), (IIb), (IIaa) (IIab), (IIba), and (IIbb), stereoisomer thereof, or salts or solvates thereof. Further provided herein are methods of treating a disease or a condition comprising administering a compound of Formula (I), (Ia), (Ib), (Iaa), (Iab), (Iba), (Ibb), (II), (IIa), (IIb), (IIaa) (IIab), (IIba), or (IIbb), a stereoisomer thereof, or a salt or solvate thereof.

Abstract: A method and apparatus for encoding or decoding a video sequence includes applying a Cross-Component Linear Model (CCLM) to a video sequence, and applying an interpolation filter in the Cross-Component Linear Model (CCLM), wherein the interpolation filter is dependent upon a YUV format of the video sequence.

Abstract: This application provides a fault handling system of a solid-state transformer, including a first power unit and a second power unit that are cascaded and connected. The first power unit includes a first auxiliary supply, a first control module, and a first communication module. The first auxiliary supply and the first control module are both electrically connected to two ends of a first busbar capacitor. The first control module is configured to detect a voltage of the first busbar capacitor. The second power unit includes a second auxiliary supply and a second control module. The second auxiliary supply and the second control module are both electrically connected to two ends of a second busbar capacitor. The first communication module outputs fault information to the second control module when the first control module detects that the voltage of the first busbar capacitor is greater than a threshold.

Abstract: The present disclosure describes techniques for determining performance of a classifier. A first machine learning model and a second machine learning model may be trained by aggregating updates to the first machine learning model and the second machine learning model received from a plurality of client computing devices. A cumulative distribution function (CDF) associated with a distribution of the positive samples in the user data may be estimated using the trained first machine learning model. A probability density function (PDF) associated with a distribution of the negative samples in the user data may be estimated using the trained second machine learning model. An integration-based computation of an area under the receiver operating characteristic curve (AUC) of the classifier may be performed using the PDF and the CDF.

Abstract: A video bitstream comprising a current picture of a video is received. A first group of samples and a second group of samples in the current picture are determined. A first geometric transform is determined for the first group of samples in the current picture and a second geometric transform is determined for the second group of samples in the current picture. The first geometric transform is configured to adjust an orientation of the first group of samples in the current picture. The second geometric transform is different from the first geometric transform and configured to adjust an orientation of the second group of samples in the current picture. The picture is reconstructed, where the first group of samples is reconstructed based on the determined first geometric transform and the second group of samples is reconstructed based on the determined second geometric transform.

Abstract: The present application relates to a current collector, an electrode plate, a battery cell, a battery, and an electric device. The current collector includes a stainless steel current-collecting portion for collecting a current, where the stainless steel current-collecting portion includes a blank area and a coating area that are arranged adjacent to each other in a preset direction, the coating area is configured to be coated with an active material, and the blank area has a hardness less than that of the coating area.

Abstract: Aspects of the disclosure include methods and apparatuses for video coding. One of the apparatuses includes processing circuitry that receives a bitstream of a current block in a current picture. The current block is coded with a directional nearest neighbor prediction (DNNP) mode. The processing circuitry selects a prediction value for a sample in the current block from a top-left value, a top value, or a left value based on one or more difference values between respective paired values of (i) the top-left value associated with a top-left reference sample that is a top-left neighbor of the current block, (ii) the top value associated with a top reference sample that is a top neighbor of the sample in the current block, and (iii) the left value associated with a left reference sample that is a left neighbor of the sample in the current block. The processing circuitry reconstructs the current block using the selected prediction value for the sample in the current block.

Abstract: A hierarchical health index evaluation method for an intelligent substation includes: obtaining a basic health index of a device based on static information and dynamic information of the device; obtaining a device correlation based on a communication connection relationship between the device and another device, and correcting the basic health index of the device based on the device correlation to obtain a health index of the device; obtaining a layer-based health index of a layer based on a device health index and a device importance weight of the layer; obtaining a whole-station health index of an intelligent substation based on a layer-based health index of each layer and a sum of device importance weights of each layer; and regulating the intelligent substation based on a health index of each device in the intelligent substation, the layer-based health index of each layer, and the whole-station health index.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that obtain scene features in an environment that includes an autonomous vehicle and a target agent at a current time point; determine whether the target agent is an emergency vehicle that is active at the current time point; generate from the scene features, an input (i) that includes the scene features and (ii) that indicates whether the target vehicle is an emergency vehicle that is active at the current time point; and process the input using a machine learning model that is configured to generate a behavior prediction output for the target agent that characterizes predicted future behavior of the target agent after the current time point.