Abstract: A display panel includes a display region and a photoelectric sensing region which includes a light transmitting region and a frame region surrounding the light transmitting region; the frame region includes a first region surrounding the light transmitting region, a second region on a side of the first region away from the light transmitting region and surrounding the first region, and a third region between the second region and the display region. The spacers are in an array and in the display region but not in the light transmitting region. A plurality of first support pillars are in the first region, arranged around the light transmitting region, and spaced from each other. A plurality of second support pillars are in the second region, around the second region, and spaced from each other. A plurality of third support pillars are in the third region in an array.

Abstract: Disclosed is a pyridazinone compound represented by Formula (I), or a pharmaceutically acceptable salt, prodrug, hydrate, solvate, polymorph, stereoisomer, or isotopic variant thereof. The compound can be used for preparation of medicinal products for treatment and/or prophylaxis of a disease or condition associated with thyroid hormone abnormalities. The compound has higher selectivity to TH?, better pharmacokinetic parameters, desired stability, and higher agonistic activity toward TH?.

Abstract: Provided is a model interpretation method, an image processing method, an electronic device and a storage medium, relating to the field of artificial intelligence, in particular to the field of deep learning. The model interpretation method includes: obtaining a token vector corresponding to an image feature input to a first model; obtaining a model prediction result output by the first model; and determining, according to a combination of an attention weight and a gradient, an association relation between the token vector input to the first model and the model prediction result output by the first model, where the association relation is used to characterize interpretability of the first model.

Abstract: The present application provides a model training, image processing method, device, storage medium, and program product relating to deep learning technology, which are able to screen auxiliary image data with image data for learning a target task, and further fuse the target image data and the auxiliary image data, so as to train a built and to-be-trained model with the fusion-processed fused image data. This implementation can increase the amount of data for training the model, and the data for training the model is determined is based on the target image data, which is suitable for learning the target task. Therefore, the solution provided by the present application can train an accurate target model even if the amount of target image data is not sufficient.

Abstract: A 3D printing technology-based processing apparatus and method includes a frame, an injection unit, and a molding unit. A melted polymer filler can be filled into a blind hole or a passageway of a 3D printed product to improve overall strength of the product. A 3D printed product having a mortise and tenon shaped mechanical engagement structure is disclosed. The printed product having the mortise and tenon shaped structure has higher tensile strength and shear strength. The present apparatus effectively resolves a problem of warped and deformed products due to an excessive temperature difference between the product and an environment during printing. The method uses an optimized printing process to reduce the fabrication processes of a support structure, reduce consumables required for building the structure, and improve the printed surface quality of the printed product.

Abstract: A melt differential electrospinning device and process, the melt differential electrospinning device comprising a spinning nozzle (1), a fiber receiving device (3), a first high-voltage electrostatic generator (6), a second high-voltage electrostatic generator (7), a grounding electrode (5), and n layers of electrode plates of a first electrode plate (2) and a second electrode plate (4), n being an integer greater than or equal to 2; the spinning nozzle comprises a splitter plate (21), a nut (22), a spring spacer (23), an air pipe positioning pin (24), a screw (25), a nozzle body positioning pin (26), a nozzle body (27), an air pipe (28), a heating device (29), a temperature sensor (210) and an inner cone nozzle (211).

Abstract: A melt differential electrospinning device and process, the melt differential electrospinning device comprising a spinning nozzle (1), a fiber receiving device (3), a first high-voltage electrostatic generator (6), a second high-voltage electrostatic generator (7), a grounding electrode (5), and n layers of electrode plates of a first electrode plate (2) and a second electrode plate (4), n being an integer greater than or equal to 2; the spinning nozzle comprises a splitter plate (21), a nut (22), a spring spacer (23), an air pipe positioning pin (24), a screw (25), a nozzle body positioning pin (26), a nozzle body (27), an air pipe (28), a heating device (29), a temperature sensor (210) and an inner cone nozzle (211).