Abstract: A magnetic recording medium is provided and includes a substrate; a first magnetic layer that includes magnetic particles having an L10 structure and being (001)-oriented; and a second magnetic layer that includes magnetic particles having an hcp structure and including at least Co and Pt. The first magnetic layer is stacked over the substrate, and the second magnetic layer is stacked over the first magnetic layer. Rku of a growth surface of the first magnetic layer is 5 or more, and Rku of a growth surface of the second magnetic layer is 2.5 or more and 4.0 or less.

Abstract: Provided are a perovskite cell and a photovoltaic module. The perovskite cell includes a perovskite light absorption layer, a first carrier transport layer, a second carrier transport layer, a first transparent electrode layer, a second transparent electrode layer, and an optical adjustment layer, wherein the optical adjustment layer is arranged between the second carrier transport layer and the second transparent electrode layer; and the transmittance of the optical adjustment layer for visible light is greater than or equal to a preset transmittance, and the reflectivity of the optical adjustment layer for infrared light is greater than or equal to a preset reflectivity.

Abstract: In one example encoding method, first input information is obtained. The first input information is encoded based on an encoding neural network to obtain and output first output information. The encoding neural network comprises a first neuron parameter, and the first neuron parameter is used to indicate a mapping relationship between the first input information and the first output information.

Abstract: The present disclosure relates to model training methods and apparatuses. In one example model training method, a first device receives data feature information of a second local dataset from a second device, where the second local dataset is a dataset of the second device. The first device determines a first training dataset based on the data feature information of the second local dataset and a first local dataset, where the first local dataset is a dataset of the first device, and data feature information of the first training dataset includes the data feature information of the second local dataset and data feature information of the first local dataset. The first device obtains a first model based on the first training dataset, where the first model is a model deployed on the first device.

Abstract: This application provides a method for obtaining channel information and a communications apparatus. The method includes: A first device sends a first reference signal to a second device, where density of the first reference signal is less than or equal to density of a second reference signal, and the second reference signal is a normal-density reference signal; the first device receives first channel state information CSI from the second device; and the first device obtains second CSI based on the first CSI and a first neural network model, where the second CSI is used to indicate channel information between the first device and the second device. The first neural network model is deployed on a side of the first device, to reduce transmission overheads of the first device and/or feedback overheads of the second device.

Abstract: The present invention discloses a method for forming robust hydrophobic surfaces on a steel workpiece. First, a roughing process is performed on the steel workpiece by removing part of the steel from the surface, so as to form concaves. Second, a depositing process is performed to deposit hydrophobic layers into the concaves, thereby forming the steel workpiece with robust hydrophobic surfaces, exhibiting good abrasion resistance.

Abstract: A topical cluster hierarchy (TCH) is constructed by recursive subclustering of document clusters until a termination condition is detected. The clusters have centroids of topic proximity with respect to at least one user-specified topic. Subclustering starts after thresholds of minimal cluster topic proximity or minimal cluster coherence are met, thus avoiding processing of low-utility clusters. Subclustering terminates when sufficient topic proximity, coherence, or cluster depth is reached. A tool utilizes the TCH to control topic-directed searching, topic-directed filtering, analyzing, summarizing, or categorizing, of documents.

Abstract: Disclosed are a thin film transistor and preparation method thereof, display substrate and display apparatus. The thin film transistor includes a base substrate, a shielding layer, buffer layer, active layer, gate insulating layer and conductive layer stacked on the base substrate; the conductive layer includes a gate electrode, source electrode and drain electrode; the active layer includes a channel region, source transition region and drain transition region at two sides of the channel region, source connection region and drain connection region; the source transition region and drain transition region each include a first sub-region, second sub-region and third sub-region connected sequentially, first sub-region is located on a side of second sub-region away from the channel region, third sub-region is located on a side of second sub-region close to the channel region, a thickness of second sub-region is k times that of the channel region, k is 0.8 to 1.5.

Abstract: A weighted multicategory querying (WMQ) tool generates alternates of an initial query through spelling correction, grammar correction, natural language processing, ambiguous term resolution, term normalization, keyword reordering, synonyms, and similar terms. The WMQ tool generates additional queries in different weighted categories such as keyword combination, query programming language (QPL), metadata, or embedding space. Query result individual topic proximity scores are combined with category weights to calculate a combined topic proximity score, which is employed to rank the query result. Embedding space query weight is increased for queries classified as broad. QPL query weight or metadata query weight is increased for queries which contain part or all of a metadata field name. Language models are leveraged for query generation, topic proximity scoring, or both.

Abstract: An image data processing apparatus includes a calculation unit configured to calculate an average picture level of an nth frame image based on received nth frame image data; an acquisition unit configured to, in response to that a difference between the average picture level of the nth frame image and an average picture level of an (n-1)th frame image?a first threshold, acquire an average picture level of each frame of moving image obtained after the (n-1)th frame image is moved in multiple preset moving directions; an adjustment unit configured to, in response to that the average picture level of the nth frame image is equal to the average picture level of any frame of moving image, acquire an accumulated display time length of image content displayed by the nth frame image, and adjust brightness of the nth frame image according to the accumulated display time length.

Abstract: A display panel and a display device are provided. The display panel includes a plurality of sub-pixels, each sub-pixel includes a pixel definition layer, a first electrode and one or more light emitting functional layers. The pixel definition layer includes a pixel opening including one or more first grooves, the first electrode is arranged between the pixel definition layer and the driving substrate; a part of a surface of the light emitting functional layers arranged in the first grooves includes a first cambered surface, which includes a middle region and an edge region surrounding the middle region, a distance between a part of the first cambered surface in the middle region and the driving substrate is greater than a distance between a part of the first cambered surface in the edge region and the driving substrate in a direction perpendicular to a plane where the driving substrate is located.

Abstract: Disclosed are a display panel and a display apparatus, including: a first base substrate, a second base substrate, a plurality of spacers. The first base substrate is provided with a plurality of pixel units, each of the plurality of pixel units includes a plurality of sub-pixels, and each of the plurality of sub-pixels is correspondingly provided with the common electrode via hole and the pixel via hole; the plurality of sub-pixels include a first sub-pixel and a second sub-pixel adjacent to each other along a first direction; where, in the first direction, an orthographic projection of at least one of the plurality of spacers on the first base substrate is between an orthographic projection of the common electrode via hole corresponding to the first sub-pixel on the first base substrate and an orthographic projection of the pixel via hole corresponding to the second sub-pixel on the first base substrate.

Abstract: A communication method and a related device are provided, where first data received by a first communication apparatus is data obtained through first processing and second data sent by the first communication apparatus is gradient data obtained based on data obtained by performing second processing based on the first data and label data, or second data is data obtained through first processing and first data is gradient data obtained based on data obtained by performing second processing based on the second data and label data. In addition, the first processing includes AI processing, and/or the second processing includes AI processing.

Abstract: Embodiments of this application relate to the field of wireless communication technologies, and provide a signal processing method and an apparatus, to improve signal processing performance. In this method, a communication apparatus inputs N1 signal vectors to an input layer of a neural network for dimension increase processing, to obtain N2 high-dimensional signal vectors. The communication apparatus inputs the N2 high-dimensional signal vectors to an interaction layer of the neural network, to obtain a feature between the N2 high-dimensional signal vectors and a feature of each high-dimensional signal vector. The communication apparatus inputs the feature between the N2 high-dimensional signal vectors and the feature of each high-dimensional signal vector to an output layer of the neural network for an operation, to obtain an output signal vector.

Abstract: A first communication apparatus receives training data, and determines a first intermediate gradient based on the training data. The first intermediate gradient is used to update a parameter of a first neural network located in a second communication apparatus. The first communication apparatus maps the first intermediate gradient to an air interface resource to generate a first gradient signal, and sends the first gradient signal to the second communication apparatus. The first gradient signal includes one or more first gradient symbols, and each of the first gradient symbols corresponds to one or more gradient values.

Abstract: A display substrate is provided to include: a first base substrate including a sealing region and a display port region, wherein at least one first connection region and at least one second connection region are in the display port region, a first overlapping region is formed between the second and first connection regions; first and second connection terminals in the first and second connection regions, respectively; and a planarization layer including at least one first trench and at least one second trench corresponding to the first and second connection regions therein, respectively; orthographic projections of bottoms of first and second trenches on the first base substrate cover corresponding first and second connection regions, respectively; the planarization layer includes: a first pattern corresponding to the first overlapping region; orthographic projections of the first pattern and its corresponding first overlapping region on the first base substrate overlap with each other.

Abstract: The present disclosure relates to assessment of genetic variation, and in particular to techniques for detection of chromosomal and sub-chromosomal copy number variations. In one aspect, a computer-implemented method is provided for detecting a presence or absence of copy number variation in a target sample. The method includes obtaining sequencing data for a plurality of samples, determining a first normalized coverage for each segment/element in each of the samples according to the sequencing data, determining a second normalized coverage, including a copy number, for each segment/element in each of the samples according to the first normalized coverage, classifying the copy number for each segment/element in a target set in the target sample based on rule-based approaches, machine learning based approaches, or a combination thereof, and outputting a presence or absence of a copy number variation for each segment/element in the target set in the target sample according to the classification.

Abstract: Methods, systems, and devices for access voltage correction are described. An offset table may be selected from among a plurality of offset tables in accordance with a quantity of program and erase cycles associated with the memory system. After selecting the offset table and in response to a command to read data from a block of the memory system, data may be read from the block. Reading the data from the block may include applying an offset to a read voltage, where the offset may be associated with the block in the offset table, and where the offset may be associated with a duration since the block was last programmed.

Abstract: An image data processing apparatus includes a calculation unit configured to calculate an average picture level of an nth frame image based on received nth frame image data; an acquisition unit configured to, in response to that a difference between the average picture level of the nth frame image and an average picture level of an (n-1)th frame image?a first threshold, acquire an average picture level of each frame of moving image obtained after the (n-1)th frame image is moved in multiple preset moving directions; an adjustment unit configured to, in response to that the average picture level of the nth frame image is equal to the average picture level of any frame of moving image, acquire an accumulated display time length of image content displayed by the nth frame image, and adjust brightness of the nth frame image according to the accumulated display time length. movement.

Abstract: A first machine learning model is deployed in a first communication apparatus, and a second machine learning model is deployed in a second communication apparatus. First information is obtained that carries indication information of both a first transmission resource and a second transmission resource, wherein the first transmission resource is for the first communication apparatus to transmit a first output of the first machine learning model to the second communication apparatus, and wherein the second transmission resource is for the first communication apparatus to receive first feedback data that is from the second communication apparatus. The first feedback data includes a first gradient, wherein the first gradient is for updating the first machine learning model. The first communication apparatus transmits the first output to the second communication apparatus on the first transmission resource.