Abstract: Disclosed is a method for promoting immune cell proliferation. The method comprises the following step: upregulating the expression of low-density lipoprotein receptor-related proteins or fragments thereof in immune cells.

Abstract: A wafer grinding parameter optimization method and an electronic device are provided. The method includes the following. A natural frequency of a grinding wheel spindle of wafer processing equipment is obtained, and a grinding stability lobe diagram is generated accordingly. A grinding speed is selected based on a speed range of the grinding wheel spindle. Multiple grinding parameter combinations are determined based on the grinding speed. Multiple grinding simulation result combinations corresponding to the grinding parameter combinations are generated. A specific grinding parameter combination is selected based on each of the grinding simulation result combinations, and the wafer processing equipment is set accordingly.

Abstract: A method, apparatus and system for transmitting paging information. The method includes: calculating, by a first communication node, a time domain position of a paging occasion (PO) of a second communication node; and transmitting, by the first communication node, paging information to the second communication node within the PO corresponding to the time domain position, where the paging information includes at least one of: paging downlink control information and a paging message, and the PO includes a group of paging resources for transmitting paging information on one or more preset beams or ports.

Abstract: A method for determining a consistency coefficient of a power-law cement grout includes: determining a water-cement ratio of the power-law cement grout; according to engineering practice requirements, determining a time required to determine the consistency coefficient of the power-law cement grout; and obtaining the consistency coefficient of the power-law cement grout. The method is accurate and reliable, requires less calculation, etc.; and has very high practical value and popularization value in environmental protection and ecological restoration.

Abstract: A multi-task identification method, a training method, an electronic device, and a storage medium are provided, which relate to a field of an artificial intelligence technology, in particular to fields of deep learning, image processing and computer vision technologies, and may be applied to scenarios such as human faces. A specific implementation solution includes: obtaining first intermediate feature data according to an image to be identified; selecting a feature extraction strategy having a greatest matching degree with the image to be identified from a plurality of feature extraction strategies based on a target selection strategy and the first intermediate feature data, so as to obtain a target feature extraction strategy; processing the first intermediate feature data based on the target feature extraction strategy, to obtain second intermediate feature data; and obtaining a multi-task identification result for the image to be identified according to the second intermediate feature data.

Abstract: A method for face recognition is disclosed. The method includes: obtaining an image to be recognized; extracting an image feature of the image to be recognized; obtaining a fused feature corresponding to a reference image of reference image; determining a similarity between the image feature of the image to be recognized and the fused feature corresponding to the reference image of the reference images to obtain a determination result of the similarity; and determining, based on the obtained determination result of the similarity, a face recognition result of the image to be recognized. It can be learned that recognition precision of a human face having a shielding object and a human face not having the shielding object may be ensured by means of this solution.