Abstract: A grating adjustment apparatus includes a first electrode layer, a second electrode layer and a first substrate and a second substrate that are opposite to each other; the grating adjustment apparatus further includes a plurality of first driving lines, a plurality of second driving lines and a plurality of grating units arranged in the first direction, and is configured as: when the grating adjustment apparatus is powered on, the grating unit is capable of forming a light transmission unit and a shading unit, and opening positions and/or opening ratios of the grating unit are adjustable; and the plurality of grating units are divided into at least one group; for the grating units in the same group, at least two of the first sub-electrodes are electrically connected to different first driving lines, and at least two of the second sub-electrodes are electrically connected to different second driving lines.

Abstract: The present invention provides a multimass MEMS gyroscope featuring an orthogonal arrangement, which comprises an anchor point unit, a sensing unit and a driving unit; the anchor point unit comprises a central anchor point subunit located at the center of a rectangle and four corner anchor points located at the four corners of the rectangle respectively; the sensing unit comprises four detection mass blocks each of which has a frame structure and is elastically connected between the central anchor point subunit and the corresponding corner anchor point, receding spaces being formed between the detection mass blocks, and four detection decoupling parts; and the driving unit comprises four driving mass blocks, and driving decoupling parts. The gyroscope can improve the arrangement area of transducers and reduce the mass of the detection mass blocks to improve the Coriolis gain, thereby improving the mechanical sensitivity of the gyroscope.

Abstract: The compositions and methods described herein are directed to treating solid tumors using CAR T therapy and/or antibodies targeting GCC. The compositions include CAR comprising an extracellular domain that binds GCC.

Abstract: The present invention provides a capacitive micromechanical acceleromete. The capacitive micromechanical acceleromete includes a base with anchor points, at least one detection structure pair arranged on one side of the base and elastically connected to the anchor points, and a detection electrode spaced apart from each detection structure pair. Each detection structure pair includes two seesaw structures elastically connected to the base respectively. The seesaw structures are asymmetric about a rotation axis where the anchor points are located; asymmetric portions of the two seesaw structures are reversed and parallel. In a detection modality, changing directions of spacings formed between the two seesaw structures and the detection electrode are opposite. The capacitive micromechanical acceleromete can reduce the impact of the noise of the angular acceleration of the external rotation or the stress and other external factors on the detection of the accelerometer, and improving the detection accuracy.

Abstract: Provided is a fully decoupled MEMS gyroscope, including an anchor point unit, a sensing unit elastically connected to the anchor point unit, and a driving unit configured to drive the sensing unit to move. The anchor point unit includes a center anchor point subunit located at a center of a rectangle and four side anchor points. The driving unit includes four driving members located on four sides of the rectangle. The sensing unit includes two X mass blocks symmetrically arranged in two avoiding intervals, two Y mass blocks symmetrically arranged in the other two avoiding intervals, four Z mass blocks respectively located at an outer side of each driving member, and four Z detection decoupling members respectively located at an outer side of each Z mass block. The X mass blocks and the Y mass blocks are respectively connected to each side anchor point.

Abstract: The present invention provides an accelerometer, including base, anchor points, seesaw structures elastically, and a differential detection assembly; the seesaw structures includes a first seesaw structure and a second seesaw structure which are parallel to each other and placed in reverse; the anchor points includes a first anchor point and a second anchor point; the first seesaw structure includes a first elastic member and a first mass block connected to the first elastic member; the first mass block is driven by a normal phase carrier drive signal from the first anchor point; the second seesaw structure includes a second elastic member and a second mass block connected to the second elastic member; and the second mass block is driven by a reversed phase carrier drive signal from the second anchor point. The accelerometer can effectively suppress the impact of noise of an angular acceleration of rotation.

Abstract: The present application relates to a search ranking method, a search ranking apparatus, an electronic device and a storage medium. In an embodiment of the method, acquiring search keywords and determining a plurality of initial search results that match with the keywords; acquiring a plurality of characteristic factors associated with each of the initial search results, and a weight of each of the characteristic factors; performing a fusion calculation on each of the initial search results according to the weights of the plurality of characteristic factors to obtain a comprehensive weight of each initial search result; and ranking the plurality of initial search results according to the comprehensive weights. In embodiments of the present application, comprehensive ranking is performed on initial search results of a plurality of columns, which enables the user to quickly find a desired result, saves the operation time, and improves the searching efficiency.

Abstract: The present application relates to a search ranking method, a search ranking apparatus, an electronic device and a storage medium. In an embodiment of the method, acquiring search keywords and determining a plurality of initial search results that match with the plurality of keywords; extracting text similarity, update time dimension, and objective importance of contacts according to the initial search results; acquiring a weight of the text similarity, a weight of the update time dimension, and a weight of the objective importance of the contacts; performing a fusion calculation on each of the initial search results to obtain a comprehensive weight of each of the initial search results; and ranking the plurality of initial search results according to the comprehensive weights. The method enables the user to quickly find relevant information, simplifies the operation, and improves the searching efficiency.

Abstract: A neural network training method, apparatus, a storage medium, and a computer device are provided. The method includes: obtaining a training sample set, each training sample including a standard label; inputting the each training sample into a neural network model including n attention networks, the n attention networks respectively mapping the each training sample to n subspaces, each of the n subspaces including a query vector sequence, a key vector sequence, and a value vector sequence; calculating a space difference degree between the n subspaces by using the neural network model; calculating an output similarity degree according to an output of the neural network model and the standard label corresponding to the each training sample; and adjusting a model parameter of the neural network model according to the space difference degree and the output similarity degree until a convergence condition is satisfied to obtain a target neural network model.

Abstract: The present application relates to a search ranking method, a search ranking apparatus, an electronic device and a storage medium. In an embodiment of the method, acquiring search keywords and determining a plurality of initial search results that match with the plurality of keywords; extracting text similarity, update time dimension, and objective importance of contacts according to the initial search results; acquiring a weight of the text similarity, a weight of the update time dimension, and a weight of the objective importance of the contacts; performing a fusion calculation on each of the initial search results to obtain a comprehensive weight of each of the initial search results; and ranking the plurality of initial search results according to the comprehensive weights. The method enables the user to quickly find relevant information, simplifies the operation, and improves the searching efficiency.

Abstract: The present application relates to a search ranking method, a search ranking apparatus, an electronic device and a storage medium. In an embodiment of the method, acquiring search keywords and determining a plurality of initial search results that match with the keywords; acquiring a plurality of characteristic factors associated with each of the initial search results, and a weight of each of the characteristic factors; performing a fusion calculation on each of the initial search results according to the weights of the plurality of characteristic factors to obtain a comprehensive weight of each initial search result; and ranking the plurality of initial search results according to the comprehensive weights. In embodiments of the present application, comprehensive ranking is performed on initial search results of a plurality of columns, which enables the user to quickly find a desired result, saves the operation time, and improves the searching efficiency.

Abstract: The present application relates to a multi-dimensional search ranking method and apparatus, an electronic device and a storage medium. In an embodiment of the method, acquiring search keywords and determining a plurality of initial search results that match with the keywords; extracting a text similarity, an update time dimension and a click rate associated with each of the initial search results; acquiring a weight of the text similarity, a weight of the update time dimension and a weight of the click rate, and performing a fusion calculation to obtain a comprehensive weight of each of the initial search results; and ranking the plurality of initial search results according to the comprehensive weights. This method facilitates users in quickly finding relevant information, simplifies the operation, and improves the searching efficiency.