Abstract: A data processing apparatus and a data processing method.

Abstract: Techniques are described with regard to container image configuration in a computing environment. An associated computer-implemented method includes initializing a container image storage engine associated with a logical tree structure having a plurality of container image nodes, where each of the plurality of container image nodes includes a hash layer array and a hash data array. The method includes building at least one new container image node to incorporate into the plurality of container image nodes. The method further includes applying a software patch to a target container image node among the plurality of container image nodes. In an embodiment, the method further includes starting at least one container based upon a respective container image node among the plurality of container image nodes.

Abstract: The present disclosure provides a computer-implemented method, computer system and computer program product for data protection. According to the method, a first container may be created before an application container is ready for running. The first container is configured to: receive a first key from a key management device; obtain first encrypted data for the application container from a storage device; decrypt the first encrypted data using the first key to obtain first decrypted data; and mount the first decrypted data into the application container. The first container may be exited, and then the application container may be switched to ready for running.

Abstract: An intelligence processing unit is coupled to an external memory and includes a memory, a direct memory access (DMA) circuit, and a vector accelerator. The external memory stores a first tensor and a second tensor. The DMA circuit performs the following steps: reading a first part of the first tensor from the external memory; storing the first part of the first tensor in the memory; reading a second part of the second tensor from the external memory; and storing the second part of the second tensor in the memory. The vector accelerator includes a register circuit and performs the following steps: storing P bytes of the first part of the first tensor in a target row of the register circuit; storing Q bytes of the second part of the second tensor in the target row of the register circuit; and writing data of the target row into the memory.

Abstract: A stiffening girder erection method of a ground-anchored suspension bridge is provided. Clips for all hanger rods of a space main cable suspension bridge are installed such that design center lines of the clips are located in a vertical plane. A first stiffening girder section is installed at a position away from a first tower at a preset distance in a longitudinal direction. A second stiffening girder section is installed at a position away from a second tower at the preset distance along the longitudinal direction. A plurality of third stiffening girder sections are installed one by one in a direction respectively from the first stiffening girder and the second stiffening girder toward a mid-span until a mid-span closure is completed. An azimuth angle of a main cable around a central axis thereof at each of the clips is measured.

Abstract: Embodiments of the present disclosure relate to the technical field of batteries, and in particular to a battery cell and a battery. The battery cell is formed by winding a first electrode sheet and a second electrode sheet; the first electrode sheet and the second electrode sheet are separated by a separator; a head portion of the second electrode sheet is provided with an empty foil area which is not coated with an active substance; the empty foil area is provided with a first protection adhesive paper and second protection adhesive paper; the first protection adhesive paper and the second protection adhesive paper are located on two sides of an edge of a head portion of the first electrode sheet in a thickness direction of the battery cell.

Abstract: Disclosed are the expression of a recombinant chicken IgY scFv antibody and monoclonal antibody raised against human thymidine kinase 1 (hTK1) in prokaryotic cells and a preparation method and use thereof. The scFv antibody includes an amino acid sequence shown in SEQ ID NO: 1. The anti-hTK1 recombinant scFv antibody and monoclonal antibody have good immunoreactivity, high specificity and sensitivity, and are easy to separate and purify.

Abstract: The present disclosure relates to a method for analyzing a geological body with the help of physical and chemical properties thereof, and in particular, to a method for identifying an exudative sandstone uranium deposit. With the method for identifying an exudative sandstone uranium deposit according to the embodiments of the present disclosure, an exudative sandstone uranium deposit formed by an exudation metallogenesis may be systematically identified, so as to guide prediction and prospecting evaluation of a uranium deposit in red variegated sandstone formations of a sedimentary basin, avoid ore dislocation and ore leakage, open up new prospecting positions and spaces, and break through new uranium resources.

Abstract: The present disclosure discloses a video classification method, an electronic device and a storage medium, and relates to the field of computer technologies, and particularly to the field of artificial intelligence technologies, such as knowledge graph technologies, computer vision technologies, deep learning technologies, or the like. The video classification method includes: extracting a keyword in a video according to multi-modal information of the video; acquiring background knowledge corresponding to the keyword, and determining a text to be recognized according to the keyword and the background knowledge; and classifying the text to be recognized to obtain a class of the video.

Abstract: Provided is an analysis method for determining gas-bearing situation of an unknown shale reservoir, includes: S1, selecting a shale reservoir of a target interval of a place; and collecting data of parameters of cores of each of a known gas-bearing shale reservoir A and a known water-bearing shale reservoir B; S2, calculating average values of the parameters of each of the reservoirs A and B respectively; S3, calculating average differences of the parameters of each of the reservoirs; S4, calculating covariance values of the parameters of each of the reservoirs; S5, establishing, according to the covariance values, an equation group and resolving discriminant coefficients; S6, establishing a discriminant equation according to the discriminant coefficients and solving a discriminant index; and S7, obtaining values of parameters of cores of a sample of the unknown shale reservoir, calculating a discriminant value, and determining gas-bearing situation of the unknown shale reservoir.

Abstract: A data dividing method applied to a computing device that performs a convolution operation based on an input image data and a weight data is provided. The method includes: determining a restriction condition in connection with the performing of the convolution operation by the computing device; determining a set of candidate data blocks for the input image data and a set of candidate data blocks for the weight data according to the restriction condition; generating an evaluation result by evaluating, according to candidate data blocks in the set of candidate data blocks for the input image data and the set of candidate data blocks for the weight data, an amount of data load of the computing device in accessing both an external memory and an internal memory of the computing device; and determining a method of dividing the input image data and the weight data according to the evaluation result.

Abstract: A display screen adjustment method and apparatus, and a device are provided. A display screen includes a first display area and a second display area, a camera component is disposed under the first display area, and light transmittance of the first display area is higher than light transmittance of the second display area. The adjustment method includes: collecting present ambient illuminance on a terminal; and when the ambient illuminance is lower than an ambient illuminance threshold, adjusting, based on a first ambient light adaptation adjustment curve, luminance corresponding to grayscale 255 of the first display area to first luminance, and adjusting, based on a second ambient light adaptation adjustment curve, luminance corresponding to grayscale 255 of the second display area to second luminance, where the first luminance is approximately equal to the second luminance.

Abstract: Provided is an analysis method for determining gas-bearing situation of an unknown shale reservoir, includes: S1, selecting a shale reservoir of a target interval of a place; and collecting data of parameters of cores of each of a known gas-bearing shale reservoir A and a known water-bearing shale reservoir B; S2, calculating average values of the parameters of each of the reservoirs A and B respectively; S3, calculating average differences of the parameters of each of the reservoirs; S4, calculating covariance values of the parameters of each of the reservoirs; S5, establishing, according to the covariance values, an equation group and resolving discriminant coefficients; S6, establishing a discriminant equation according to the discriminant coefficients and solving a discriminant index; and S7, obtaining values of parameters of cores of a sample of the unknown shale reservoir, calculating a discriminant value, and determining gas-bearing situation of the unknown shale reservoir.

Abstract: A present invention embodiment analyzes documents. A first document is received comprising a plurality of sentences that each include one or more words. A matrix is populated with the plurality of sentences, wherein each of the one or more words of each sentence in the matrix is encoded as a numerical value. The matrix is processed using a machine learning model to generate a first feature map. The first feature map is compared to a second feature map of a corresponding second document to identify a shared document element between the first document and the second document based on a common feature in the first feature map and the second feature map. The shared document element is indicated via a user interface.