Abstract: The present disclosure provides a display panel and a display device. The display panel includes a base plate, and an isolation structure provided with a plurality of isolation openings, a pixel-defining layer provided with a plurality of pixel openings and a plurality of light-emitting units disposed on the base plate. The plurality of light-emitting units include a first-type light-emitting unit and a second-type light-emitting unit. A ratio of an area of an orthographic projection of the pixel opening corresponding to the light-emitting unit on the base plate to an area of an orthographic projection of the isolation opening corresponding to the light-emitting unit on the base plate is referred to as a first ratio. The first ratio corresponding to the first-type light-emitting units is less than the first ratio corresponding to the second-type light-emitting units to adjust an aperture ratio of the display panel.

Abstract: The present disclosure discloses a backside polishing additive for reducing alkali consumption, and a preparation method and a use thereof. The backside polishing additive includes components in percentages by mass as follows: 0.01% to 0.5% of a catalyst containing a nitrobenzene structure, 0.1% to 1% of a defoaming agent, 0.5% to 1.5% of a preservative, and the balance of water. The additive of the present disclosure enables a polishing reaction at a required alkali concentration or consumption lower than the conventional additive. Therefore, the present additive has more significant alkali-reducing capability than the conventional additive. Additionally, the silicon wafer obtained through the use of the additive of the present disclosure to conduct the alkali polishing reaction has a surface with a good flatness of the tower base and a high reflectivity, indicating a superior polishing effect, and resulting in a significant enhancement of the cell efficiency.

Abstract: A power supply includes: a housing; a first bridge arm assembly and a second bridge arm assembly disposed in the housing; and an insulating member disposed between the first bridge arm assembly and the second bridge arm assembly. The first bridge arm assembly has an alternating current terminal, and the second bridge arm assembly has a direct current terminal. A projection of the alternating current terminal on a plane on which the direct current terminal is located at least partially overlaps the direct current terminal. At least a part of the insulating member is disposed between the alternating current terminal and the direct current terminal.

Abstract: A bus capacitor includes: multiple capacitor layers stacked along a thickness direction of the bus capacitor, a dielectric being filled between two adjacent capacitor layers; the multiple capacitor layers including multiple positive capacitor layers and multiple negative capacitor layers; a first hole extending along the thickness direction, the first hole running through the multiple positive capacitor layers, a first conductive member disposed in the first hole, and the first conductive member being in contact with the multiple positive capacitor layers to electrically connect the multiple positive capacitor layers with each other; a second hole extending along the thickness direction, the second hole running through the multiple negative capacitor layers, a second conductive member disposed in the second hole, and the second conductive member being in contact with the multiple negative capacitor layers to electrically connect the multiple negative capacitor layers with each other.

Abstract: The application relates to an efficient particle filter node positioning method for ocean sensor networks, including the following steps: 1) obtaining a first state vector of mean value of posterior probability at k?1 moment; 2) establishing the state model of the nonlinear system; 3) obtaining the observation model of the nonlinear system; 4) propagating particles, and calculating the state vector ?+k at the next moment according to the particle vector at k?1 moment; 5) obtaining the observed value and calculating the weight; 6) judging whether it is degraded, if not, the weight is used to calculate the position expectation, otherwise, 7) is executed; 7) modifying small-weight particles; 8) resampling the improved residual and normalizing the weights; and 9) using the weight of 8) to calculate the position expectation and realize node positioning.

Abstract: Display panel and display device are provided. The display panel includes a plurality of pixel units disposed along a first direction and a second direction. A pixel unit of the plurality of pixel units includes at least three subpixels with different colors. In a same pixel unit, at least two of the subpixels are disposed along a first direction. Along a second direction, at least one of the subpixels is on a side of the two subpixels disposed along the first direction. The first direction intersects the second direction. In two pixel units that are at least partially adjacent, a subpixel in one of the two pixel units is adjacent to a subpixel in the other one of the two pixel units. Colors of the two adjacent subpixels are same.

Abstract: An image processing method according to the present embodiment is a method for performing an inference task on image data using a trained deep learning model in which a plurality of patch parameters are first set corresponding to the inference task. Next, a plurality of patches are generated for each of the patch parameters, an inference result based on the generated patches is acquired, and an optimized patch parameter and patches corresponding to the optimized patch parameter are determined from among the patch parameters based on the inference result. Next, the inference task is performed by using the deep learning model to acquire an inference result based on the patches corresponding to the determined optimized patch parameter.

Abstract: An ultrasound diagnosis apparatus and a lesion detection apparatus according to the embodiment include processing circuitry. The processing circuitry detects a lesion based on a detection threshold for detecting a lesion corresponding to a lesion type in each of a plurality of imaged frames, acquires detection results of the lesion in the plurality of frames, and determines a lesion type based on at least one of continuity and appearance frequency of the lesion type in the detection results of the plurality of frames, and updates the detection threshold according to the determined lesion type. The processing circuitry detects the lesion based on the updated detection threshold.

Abstract: A 2K SNP liquid chip of Avena sativa and applications thereof are provided, and relates to the technical field of molecular biology. High throughput 2K SNP liquid chip for Avena sativa genotyping is developed based on the targeted capture sequencing technology, and the liquid chip is determined by multi-point and multi-sample experiments for many years.

Abstract: A pixel arrangement structure, including a plurality of pixel units arranged in an array. Each pixel unit includes a first pixel group and a second pixel group arranged adjacently along a first direction. Each of the first pixel group and the second pixel group includes three sub-pixels of different colors, and a first virtual triangle is formed by three straight lines connecting three centers of the three sub-pixels. An arranging manner of the sub-pixels in the second pixel group is the same as an arranging manner of the sub-pixels in the first pixel group, when the first pixel group is inverted by 180 degrees along a second direction, with respect to the second pixel group. Two lateral sides of the first virtual triangle form a first angle ? and a second angle ? with respect to the first direction respectively, 30°???60°, 30°???60°. The second direction is perpendicular to the first direction.

Abstract: The present application relates to an array substrate (1) and a liquid crystal display panel.

Abstract: Systems and techniques are provided for generating disparity information from two or more images. For example, a process can include obtaining first disparity information corresponding to a pair of images, the pair of images including a first image of a scene and a second image of the scene. The process can include obtaining confidence information associated with the first disparity information. The process can include processing, using a machine learning network, the first disparity information and the confidence information to generate second disparity information corresponding to the pair of images. The process can include combining, based on the confidence information, the first disparity information with the second disparity information to generate a refined disparity map corresponding to the pair of images.

Abstract: A processor or other cache manager may be configured to perform eviction of data from a cache memory. The processor detects a request to store a first data record into the cache memory. The request includes the first data record and a first weight, which may be specified by an application. The processor writes the first data record and its first weight into the cache memory. The processor calculates a first score of the first data record, which may be based on a first ratio of a first idle time of the first data record to the first weight. The processor compares the first score to a second score of a second data record stored in the cache memory. The processor then deletes the first data record from the cache memory, based on the comparing of the first score to the second score.

Abstract: An image processing method according to an embodiment includes a specifying step, an inference step, and an integration step. In the specifying step, a first portion including a region corresponding to an anatomical site of a target and a second portion including a region different from the anatomical site are specified in the image. In the inference step, by using a deep learning model, segmentation of the region corresponding to the anatomical site is performed on the first portion and segmentation of the region different from the anatomical site is performed on the second portion, or classification and detection of an image including the region corresponding to the anatomical site is performed on the first portion and classification and detection of an image including the region different from the anatomical site is performed on the second portion. In the integration step, results of the respective processes are integrated for output.

Abstract: Provided are a display panel, an evaporation mask, a display device and a preparation method. A display region of the display panel includes multiple first sub-pixels and multiple second sub-pixels, and the multiple first sub-pixels and the multiple second sub-pixels have a same shape and a same size and are different in color; a pattern composed of the multiple first sub-pixels is at least partially consistent with a pattern composed of the multiple second sub-pixels, and mutually consistent patterns are staggered in a first direction, and denotes a staggered vector in the first direction; a non-display region includes a first offset mark A1 and a second offset mark A2, denotes a vector connecting a center of the first offset mark A1 and a center of the second offset mark A2, and the vector satisfies: =+; where denotes a first preset deviation.

Abstract: Certain aspects of the present disclosure provide techniques for feature-based image matching. A method generally includes obtaining a first image frame and a second image frame; generating a modified first image frame and a modified second image frame, wherein to generate the modified first image frame and the modified second image frame comprises to convert a first color space of the first image frame and a second color space of the second image frame to a third color space; extracting a first plurality of features from the modified first image frame; extracting a second plurality of features from the modified second image frame; and determining at least one first matching cost based on the first plurality of features and the second plurality of features.

Abstract: The present discloses a lightweight attention mechanism distance estimation method for assisting visual navigation of a vehicle at a container terminal. Firstly, using a depth monocular camera calibrated with the imaging parameters of the planar checkerboard tool to collect RGB-Depth image pairs in the working scenario of the automatic guided vehicle. Secondly, performing depth completion and manual annotation processing on the collected depth image. Thirdly, inputting image pairs into a lightweight monocular metric depth estimation framework which uses an improved lightweight attention mechanism Squeeze Former as the token mixer for training. Finally, fusing the results of relative depth estimation and absolute depth estimation to obtain a prediction of an actual distance between an object in the RGB image and the camera in the real world. The method and model provided by the present invention feature simple equipment, low cost, high timeliness of prediction and accurate results.

Abstract: Embodiments of the application disclose a method and device for picture coding, and a storage medium, the device for picture coding is configured to train an initial feature extraction model with first training data, to obtain a target feature extraction model; train an initial clustering model with second training data, to obtain a first clustering model; and perform picture coding on picture data according to the target feature extraction model and the first clustering model, to obtain coded data corresponding to the picture data.

Abstract: A processor or other cache manager may be configured to perform eviction of data from a cache memory. The processor detects a request to store a first data record into the cache memory. The request includes the first data record and a first weight, which may be specified by an application. The processor writes the first data record and its first weight into the cache memory. The processor calculates a first score of the first data record, which may be based on a first ratio of a first idle time of the first data record to the first weight. The processor compares the first score to a second score of a second data record stored in the cache memory. The processor then deletes the first data record from the cache memory, based on the comparing of the first score to the second score.

Abstract: A processor or other cache manager may be configured to perform eviction of data from a cache memory. The processor detects a request to store a first data record into the cache memory. The request includes the first data record and a first weight, which may be specified by an application. The processor writes the first data record and its first weight into the cache memory. The processor calculates a first score of the first data record, which may be based on a first ratio of a first idle time of the first data record to the first weight. The processor compares the first score to a second score of a second data record stored in the cache memory. The processor then deletes the first data record from the cache memory, based on the comparing of the first score to the second score.