Abstract: A display panel includes: a display substrate, a first barrier wall surrounding a display area, a blocking portion between the first barrier wall and the display area, a first encapsulation layer covering at least the display area, and touch wires. The blocking portion at least partially surrounds the display area. The first encapsulation layer includes a first surface, a second surface and a transition surface connecting the surfaces. On the display substrate, orthographic projections of the touch wires at least partially overlap with an orthographic projection on of the second surface, and are staggered with an orthographic projection of the transition surface; and at least a portion of the orthographic projection of the transition surface is located in a region between a border, away from the display area, of an orthographic projection of the blocking portion and an orthographic projection of a touch wire farthest away from the display area.

Abstract: A display panel, including an active area and a peripheral area, which is located outside of the active area, wherein the active area comprises a base substrate, and a display structure layer and a touch structure layer sequentially arranged on the base substrate; the peripheral area includes an isolation dam, a first ground trace and a second ground trace arranged on the base substrate; and the first ground trace is located at a side of the isolation dam close to the active area, and the second ground trace is located at a side of the isolation dam away from the active area.

Abstract: A positive electrode active material includes a core containing Li1+xMn1yAyP1?zRzO4, a first coating layer covering the core and containing a crystalline pyrophosphate MaP2O7 and a crystalline oxide M?bOc, and a second coating layer covering the first coating layer.

Abstract: A method for parallel processing of retinal images includes: optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image; synthesizing a virtual retinal image by a hybrid image generation method; establishing a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network model based on the virtual retinal image and the enhanced real retinal image; and integrating outputs from a plurality of parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network models as a final classification result.

Abstract: A method for parallel processing of retinal images includes: optimizing an objective function with a chaotic supply-demand algorithm to enhance a real retinal image; synthesizing a virtual retinal image by a hybrid image generation method; establishing a parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network model based on the virtual retinal image and the enhanced real retinal image; and integrating outputs from a plurality of parallel multi-layer decomposed interval type-2 intuitionistic fuzzy convolutional neural network models as a final classification result.