Southern University of Science and Technology

A preparation method for a non-spherical hydrogel microparticle embolic agent is provided. The method includes: alternately injecting a oil phase solution and an aqeuous phase solution into an elongated channel, the aqueous phase solution contains a water-soluble polymer to be cross-linked, the aqueous phase solution has a cross-linking reaction in the elongated channel to obtain a product, which is then discharged from the elongated channel to obtain the non-spherical hydrogel microparticle embolic agent. This preparation method is simple in process, and the non-spherical hydrogel microparticle embolic agent obtained from this method has good embolization performance.

An image feature extraction method and apparatus are provided, along with a computer device and a readable storage medium. After obtaining the target convolutional kernel of the feature extraction convolutional neural network, this application will cut the input feature map obtained from the preprocessed image according to the preset image size into multiple abutting input feature submaps. Each input feature submap will be zero-padded to obtain the preprocessed feature submap. Then, for each preprocessed feature submap, the Karatsuba algorithm will be used to reduce the multiplier resource consumption during the convolution operation between the target convolutional kernel and the preprocessed feature submap, effectively suppressing the growth of adder resource consumption during the convolution operation, resulting in the output feature submap. Subsequently, multiple output feature submaps will be overlapped and the boundary of the overlapped feature map will be cropped to obtain the output feature map.

An image display method, an image display apparatus, a device and a storage medium. The method includes: acquiring an original image (S 100 ); performing image analysis on the original image according to a preset image analysis model, so as to obtain a target depth map (S 200 ); performing image synthesis on the target depth map according to a preset virtual viewpoint synthesis algorithm, so as to obtain a plurality of target images of different viewing angles (S 300 ); compiling the plurality of target images of different viewing angles, so as to obtain a target image set (S 400 ); and transmitting the target images in the target image set to different directions by means of a light-splitting device, so as to present the plurality of target images of different viewing angles (S 500 ).

A polymeric material, a preparation method thereof, and a drug-loading material are provided. The polymeric material includes: a crosslinked polymer; and multiple polyelectrolytes, which are grafted onto the three-dimensional network structure of the crosslinked polymer through chemical bonds, each of the polyelectrolytes containing multiple ionizable groups, so that the multiple ionizable groups form local potentials upon ionization to induce aggregation of particles with opposite charges. Compared with conventional drug-loaded microsphere embolic agents, the polymeric material provided by the present disclosure can increase its adsorption amount and adsorption efficiency for particles with opposite charges. When the particles with opposite charges are drug particles, using the polymeric material provided by the present disclosure can increase the drug-loading capacity and shorten the drug-loading time.

A multiview 3D image encoding method, apparatus, system and storage medium are provided. The encoding method may include the steps of acquiring image data, and obtaining depth information containing a depth value of each pixel in an image based on the image data; grouping the image data into blocks, and calculating a perceived angular resolution of each object in blocks based on the depth information of each object in blocks respectively, where the perceived angular resolution of an object in blocks is a required maximum angular resolution that enables identification of the object in blocks; and configuring a respective encoding parameter for each object in blocks based on the perceived angular resolution of a respective one object in blocks, where the encoding parameter is configured such that a requirement of respective encoding parameter for a respective object in blocks with a respective perceived angular resolution is met.

A method, device, system, and medium for classifying green-blue-gray infrastructure. The method includes obtaining a multispectral photo corresponding to a target area, and obtaining an image set of a target and a color orthophoto, based on the multispectral photo; obtaining a sample file based on the color orthophoto, and obtaining a classification result of the green-blue-gray infrastructure corresponding to the target area based on the image set of the target and the sample file. The embodiments can obtain the image set of the target and the color orthophoto based on the multispectral photo corresponding to the target area and combine the sample file obtained from the color orthophoto with the image set of the target to obtain the classification result of the green-blue-gray infrastructure corresponding to the target area, thereby improving the accuracy and efficiency for classifying the green-blue-gray infrastructure.

The invention provide an assessment method and device for infectious disease transmission, computer equipment and storage medium. The method comprises: obtaining respective target track data corresponding to assessment objects within a preset area in a first time slice; determining a matching subarea to which each assessment object matches in the first time slice based on the target track data; taking at least one of the plurality of subareas as a target subarea, and assessing an assessment object within the target subarea based on an infectious disease model to determine a transmission trend of an infectious disease for the assessment object within the preset area in the first time slice; and taking a next time slice as the first time slice, and re-performing the above steps until end of the target time period to determine a transmission trend of the infectious disease among the assessment objects during the target time period.

A method and a system for large-scale linear circuit simulation, a circuit simulator and a storage medium are provided. The method includes: constructing ordinary differential equations for a linear circuit and converting the ordinary differential equations into a large-scale sparse system of linear equations; performing column reordering on a coefficient matrix of the large-scale sparse system of linear equations, obtaining a pre-reordered matrix; utilizing partitioning partition algorithm to perform row-column reordering, obtaining a doubly bordered-block diagonal matrix; employing a plurality of compute nodes, solving for local Schur complements of each of the distributed nodes, and summing up the local Schur complements to obtain a global Schur complement; solving for states of each of the distributed nodes at a current time step; and converting solution results from all time steps of each of the distributed nodes into a simulation result. The method significantly improves simulation efficiency while ensuring smooth simulation execution.

A P-type gate HEMT device includes a substrate, a buffer layer, a channel layer, and a barrier layer sequentially arranged from bottom to top. A first P-type material layer is arranged on the barrier layer. A first source and a first drain are respectively arranged on two sides of the first P-type material layer. A first conductive layer is arranged on the first P-type material layer. A second P-type material layer is connected to the first P-type material layer. A second conductive layer is connected to the second P-type material layer. A third conductive layer is connected to the second P-type material layer. The first P-type material layer, the first source, the first drain, and the first conductive layer form a normally-off N-channel transistor. The second P-type material layer, the second conductive layer, and the third conductive layer form a normally-on P-channel transistor.

A landscape generation system includes at least one landscape generation module, each landscape generation module includes a base frame, and N telescopic units connected with the base frame and arranged in an array; each telescopic unit includes a landscape creation part, and a driving mechanism mechanically connected with the landscape creation part and the base frame; and the driving mechanism drives, during operation, the landscape creation part to move within a preset interval along a target direction to adjust a distance between an end face of the landscape creation part and the base frame, and stops and locks the landscape creation part at any position in the preset interval so as to generate part of a preset landscape. A landscape can be generated by the landscape generation system to meet a user's needs for landscapes in different occasions and enhance the user experience.