Abstract: A method and a device for compensating a surface error of a holographic grating substrate based on scanning and exposure technology relates to a technical field of grating development. The method and the device adopt surface error compensation technology based on phase modulation of interference fringes of a scanning beam interference lithography system. The method and the device solve a poor grating diffraction wavefront quality caused by a surface processing error in a field of holographic grating research and improves full-aperture diffraction wavefront quality of a grating.

Abstract: A device for analyzing cell morphology and a method for identifying cells are provided. A digital camera photographs a cell image of a blood sample under a low-magnification objective lens. A processor identifies and positions suspected cells of preset type in the cell image to obtain an identification result. Based on the identification result and a target number, the processor determines a number of suspected cells of preset type to be identified and positioned under the low-magnification objective lens. The digital camera further photographs, under a high-magnification objective lens, the suspected cells of preset type identified and positioned, and then the processor identifies whether the suspected cells of preset type photographed are cells of preset type, to count the number of cells of preset type photographed under the high-magnification objective lens and obtain a statistical value. If the statistical value?the target number, photographing is stopped.

Abstract: This application discloses a video encoding method, a video playback method, a related device, and a medium.

Abstract: This disclosure relates generally to video coding/decoding and particularly for enhancing block adaptive weighted prediction (BAWP) with a block vector. One method includes receiving a coded video bitstream; identifying, from the coded video bitstream, a block vector corresponding to a reference block associated with the current block of the current frame; determining a scaling factor based on a syntax explicitly signaled in the coded video bitstream; generating a predicted block based on the reference block according to a linear equation associated with the scaling factor; and reconstructing, by the device, the current block based on the predicted block.

Abstract: The various implementations described herein include methods and systems for coding video. In one aspect, a method includes receiving a video bitstream that includes encoded video data and one or more syntax elements indicating one or more clipping ranges. The method includes deriving, based on the one or more syntax elements, the one or more clipping ranges for a portion of the encoded video data. Each of the one or more clipping ranges modifies a range of sample values of the received video bitstream. The method includes performing one or more clipping operations on the encoded video data using the derived one or more clipping ranges.

Abstract: The various implementations described herein include methods and systems for coding video. In one aspect, a method includes receiving a video bitstream that includes encoded video data; obtaining information indicating two or more different clipping ranges for the encoded video data; deriving the two or more different clipping ranges based on the obtained information; performing a first clipping operation on a first portion of the encoded video data based on a first clipping range of the two or more different clipping ranges; and performing a second clipping operation on a second portion of the encoded video data based on a second clipping range different from the first clipping range.

Abstract: A light-emitting device includes a semiconductor stack including a first semiconductor layer, a second semiconductor layer and an active area between the first semiconductor layer and the second semiconductor layer, wherein the first semiconductor layer including an upper surface; an exposed region formed in the semiconductor stack to expose the upper surface; a first protective layer covering the exposed region and a portion of the second semiconductor layer, wherein the first protective layer includes a first part with a first thickness formed on the upper surface and a second part with a second thickness formed on the second semiconductor layer, the first thickness is smaller than the second thickness; a first reflective structure formed on the second semiconductor layer and including one or multiple openings; and a second reflective structure formed on the first reflective structure and electrically connected to the second semiconductor layer through the one or multiple openings.

Abstract: A semiconductor device according to the present disclosure includes a dielectric fin having a helmet layer, a gate structure disposed over a first portion of the helmet layer and extending along a direction, and a dielectric layer adjacent the gate structure and disposed over a second portion of the helmet layer. A width of the first portion along the direction is greater than a width of the second portion along the direction.

Abstract: Embodiments of the present disclosure disclose a method for calculating eddy current loss of a transformer, a storage medium and a device. The calculated eddy current loss of the transformer obtained by the method is relatively accurate, and the problem that in the relevant art, a coil temperature field cloud diagram under rated capacity of the transformer is influenced by electric conductivity of an iron core, so that the calculated eddy current loss is inaccurate is solved.

Abstract: A method for hepatocellular carcinoma (HCC) subtype classification and treatment may include identifying, for a liver epithelial cell lineage, one or more features associated with the liver epithelial cell lineage. The one or more features may be designated as representative of a molecular subtype associated with hepatocellular carcinoma (HCC) such as, for example, a cholangio-like subtype, a hepatocyte-like subtype, or a progenitor-like subtype. A patient may be determined to exhibit the molecular subtype if these features are detected within the tumor sample of the patient. Moreover, treatment for the patient may be determined based on the molecular subtype exhibited by the patient. For example, treatment for the patient may include additional therapies, such as an GPC3/CD3 bi-specific antibody, to overcome subtype-specific resistance to combination immunotherapy associated with the progenitor-like subtype. Related systems and computer program products are also provided.

Abstract: Systems and methods for block-wise entropy coding methods in neural image compression is provided. A method includes: receiving a bitstream that includes an image; partitioning the image into a plurality of blocks; compressing each of the plurality of blocks by a neural network-based encoder; obtaining compressed features by obtaining a compressed feature for each block from among the plurality of blocks in the image; processing the compressed features by an entropy encoder to generate a first compressed bitstream; obtaining a plurality of reshaped compressed features by concatenating the compressed features; processing the plurality of reshaped compressed features by the entropy encoder to generate a second compressed bitstream; and encoding the bitstream including the image based on the second compressed bitstream.

Abstract: A boost converter has a main energy storage inductor and a main GaN boost switch with a node between them. A pre-charging switch is connected at the output side of the main boost switch and the inductor, between the node and an output capacitor. The pre-charging switch comprises a body diode in the forward direction from the output capacitor to the node. The output capacitor is charged by the pre-charging switch in a pre-charge phase and this provides a soft start-up to avoid large inrush currents. A third switch, which is also a GaN switch, is in series with the pre-charging switch to provide synchronous output rectification. The third switch has a body diode in a forward direction from the node to the output capacitor. In the pre-charge phase, both the boost switch and third switch are turned off whereas in a subsequent boost phase, the pre-charging switch is turned constantly on, and alternately the boost switch and the third switch are turned on and off to implement the boost conversion.

Abstract: Interaction is created between users and streamers even when the users give gifts to the streamers outside live-streams. Provided is a terminal of a user, which includes: one or more processors; and memory storing one or more computer programs configured to be executed by the one or more processors. The one or more computer programs include instructions for: receiving, from the user, an instruction to use a gift for a streamer while the user is not participating in a live-stream of the streamer; and causing an output unit to output an effect corresponding to the use of the gift by the user while the streamer is live-streaming.

Abstract: The present disclosure provides an automatic driving test method. The method includes: acquiring test configuration information input by a user; generating test cases according to the test configuration information, and allocating the test cases to corresponding test types, wherein test types comprise a virtual simulation test, a whole vehicle in-loop test, a closed site test, and an open road test; and under each test type, testing a to be tested vehicle based on the corresponding test cases to obtain test results corresponding to each of the test type, and the test results comprise a simulation test result, a whole vehicle in-loop test result, a closed road test result, and an open road test result. Thus obtaining rich comprehensive test evaluation results makes the test results for autonomous vehicles more accurate.

Abstract: A 3D target detection method based on multimodal fusion and a depth attention mechanism includes the following steps: obtaining and preprocessing original point cloud data and original image data; inputting the preprocessed point cloud data and image data into a 3D target detection network based on multimodal fusion and the depth attention mechanism, where the 3D target detection network based on multimodal fusion and the depth attention mechanism includes a generation phase for 3D bounding box proposals and a refinement phase for 3D bounding boxes, and the network outputs parameters and classification confidence of a target bounding box; training the 3D target detection network based on multimodal fusion and the depth attention mechanism; and processing the collected lidar point cloud data and image data by using the trained detection network, and outputting 3D target information, to realize 3D target detection.

Abstract: An image segmentation method includes the following steps: obtaining a target image; inputting the target image into a machine learning model to obtain an image segmentation parameter value corresponding to the target image; executing an image segmentation algorithm on the target image according to the image segmentation parameter value to obtain an image segmentation result, wherein the image segmentation result is segmenting the target image into object regions; and displaying the image segmentation result. In addition, an electronic device and storage medium using the method are also provided.

Abstract: Provided is a material composition and method that includes forming a patterned resist layer on a substrate, where the patterned resist layer has a first line width roughness. In various embodiments, the patterned resist layer is coated with a treatment material, where a first portion of the treatment material bonds to surfaces of the patterned resist layer. In some embodiments, a second portion of the treatment material (e.g., not bonded to surfaces of the patterned resist layer) is removed, thereby providing a treated patterned resist layer, where the treated patterned resist layer has a second line width roughness less than the first line width roughness.

Abstract: This application relates to the field of video coding and decoding technologies, and provides a video decoding method and apparatus, a video coding method and apparatus, a device, and a storage medium. The method includes decoding, from a bit stream, a binary symbol string with string length information of a current string, the string length information comprising information related to a string length of the current string; inversely binarizing the binary symbol string according to a string length resolution (SLR) of the current string, to obtain the string length information; and determining the string length of the current string according to the string length information.

Abstract: A video decoding method and apparatus, a video encoding method and apparatus, a computer device, and a storage medium, which belong to the field of video processing. The video decoding method includes: performing classification on a displacement vector of a decoded block in a historical motion information list according to a following classification method, the classification method comprising: in a case that the decoded block satisfies a classification condition of any class of a plurality of classes, adding the displacement vector of the decoded block to the class, and stopping performing classification on the displacement vector of the decoded block.

Abstract: A high-temperature tube furnace comprises: a process tube (1) with a top cover (101) arranged on the top end thereof, the top cover (101) being provided with through holes (1011); a gas supply pipe (2) communicating with the through holes (1011) of the top cover (101) of the process tube (1), process gas being introduced into the process tube (1) through the gas supply pipe (2) and the through holes (1011) of the top cover (101) of the process tube (1); a wafer boat (3) arranged in the process tube (1), and comprising a supporting frame (301) and supporting plates (302), the supporting plates (302) being distributed in multiple layers along the length direction of the supporting frame (301) and used for supporting multiple substrates (w), each substrate (w) being placed on one supporting plate and each supporting plate supporting the entire bottom of the substrate (w).