Abstract: Disclosed are a point cloud encoding and decoding method and device based on a two-dimensional regularization plane projection. The encoding method includes: acquiring original point cloud data; performing two-dimensional regularization plane projection on the original point cloud data to obtain a two-dimensional projection plane structure; obtaining a plurality of pieces of two-dimensional image information according to the two-dimensional projection plane structure; and encoding the plurality of pieces of two-dimensional image information to obtain code stream information.

Abstract: A method for processing a plurality of queries is provided according to embodiments of the present disclosure. In this method, based on a plurality of queries and an execution plan for the plurality of quires, a plurality of record identification (ID) numbers can be stored into a pool in a numerical order. Each of the plurality of record ID numbers can identify a data record in a database. Then, the execution plan can be performed to batch a plurality of data records corresponding to the plurality of record ID numbers in the database based on a distribution of the plurality of record ID numbers in the pool.

Abstract: Disclosed are a new AXL-targeting monoclonal antibody and antibody-drug conjugate. Also disclosed is a method for preparing said antibody and antibody-drug conjugate. The AXL antibody of the present invention can bind with purified human AXL protein and multiple AXL on tumor cell surface with high effectiveness and high specificity. Said humanized antibody also has high affinity and low immunogenicity. Said AXL antibody-drug conjugate has markable performance against tumors having high AXL expression.

Abstract: A semiconductor device includes a plurality of channel layers vertically separated from one another. The semiconductor device also includes an active gate structure comprising a lower portion and an upper portion. The lower portion wraps around each of the plurality of channel layers. The semiconductor device further includes a gate spacer extending along a sidewall of the upper portion of the active gate structure. The gate spacer has a bottom surface. Moreover, a dummy gate dielectric layer is disposed between the gate spacer and a topmost channel layer of plurality of channel layers. The dummy gate dielectric layer is in contact with a top surface of the topmost channel layer, the bottom surface of the gate spacer, and the sidewall of the gate structure.

Abstract: A vehicle window assembly and a vehicle are provided in the disclosure. The vehicle window assembly includes multiple light guide strips spaced apart from each other, a vehicle window glass sheet, and a sealing box. The multiple light guide strips are arranged on one side surface of the vehicle window glass sheet, the sealing box is disposed at one side of each of the multiple light guide strips away from the vehicle window glass sheet, the sealing box defines grooves at positions respectively corresponding to the multiple light guide strips, and each of the multiple light guide strips is received in one of the grooves. The multiple light guide strips are received in the sealing box, the sealing box is directly fixed to the vehicle window glass sheet by the fixing member.

Abstract: Disclosed are a point cloud encoding and decoding method and device based on a two-dimensional regularization plane projection. The encoding method includes: acquiring original point cloud data; performing two-dimensional regularization plane projection on the original point cloud data to obtain a two-dimensional projection plane structure; obtaining a plurality of pieces of two-dimensional image information according to the two-dimensional projection plane structure; and encoding the plurality of pieces of two-dimensional image information to obtain code stream information.

Abstract: A device and method for preparing a fully granular cigarette/filter rod, and a prepared fully granular cigarette/filter rod are disclosed. In certain embodiments, negative pressure is used to adhere granular material onto a mesh-type conveyor belt. The granular material is preliminarily formed into fully granular cigarette/filter rod material by means of a pre-forming apparatus; the fully granular cigarette/filter rod material, traveling with the mesh-type conveyor belt, enters into a forming cavity, and undergoes heating and humidifying treatment, and a continuous solid porous substance is formed; the continuous solid porous substance is moved into the cooling/drying cavity, drying and cooling treatment are performed under the action of negative pressure, and a fully granular cigarette/filter rod with strong adhesion, porosity, permeability, and appropriate moisture is obtained.

Abstract: A tissue factor (TF)-targeted antibody-drug conjugate (ADC) and a method for preparing the ADC. The ADC is capable of binding to TF antigen with high specificity, and has high affinity, low immunogenicity, high cytotoxicity, and significant anti-tumor activity.

Abstract: A force applying auxiliary device and a control method thereof are provided. The force applying auxiliary device includes a sensor group, a processor, and a force applying driver. The sensor group includes a first sensor disposed on a first side and a second sensor disposed on a second side. The processor collects motion posture data of a user according to the first sensor and the second sensor, and determines whether a motion of the user is abnormal. When determining that the motion of the user is abnormal, the processor selects at least one preset abnormal pattern as a specific abnormal pattern according to the motion posture data, and controls the force applying driver to provide a force by using the specific abnormal pattern. A force difference between first and second forces applied to first and second side feet is adjusted based on a difference in sampling values between the sensors.

Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.

Abstract: A speaker device includes a housing body, a speaker driver and a passive radiator. The housing body is formed with a first sound hole and a second sound hole respectively opening in two opposite directions. The speaker driver is disposed in the housing body, is located adjacent to the first sound hole, and is adapted to generate sound. The passive radiator is disposed in the housing body, is located adjacent to the second sound hole, and is adapted to generate sound. The first sound hole and the second sound hole are adapted for respectively allowing the sound generated by the speaker driver and the sound generated by the passive radiator to travel out from the housing body respectively in two opposite directions therethrough.

Abstract: The present disclosure relates to image processing. The method includes acquiring at least one of a backward propagation feature of an (x+1)th video frame in a video segment or a forward propagation feature of an (x?1)th video frame in the video segment. The video segment includes N video frames, N being an integer greater than 2, and x being an integer. The method further includes deriving a reconstruction feature of the xth video frame from at least one of the xth video frame, the backward propagation feature of the (x+1)th video frame, or the forward propagation feature of the (x?1)th video frame, and deriving a target video frame corresponding to the xth video frame by reconstructing the xth video frame based on the reconstruction feature of the xth video frame. The target video frame has resolution higher than that of the xth video frame.

Abstract: A tissue factor (TF)-targeted antibody-drug conjugate (ADC) and a method for preparing the ADC. The ADC is capable of binding to TF antigen with high specificity, and has high affinity, low immunogenicity, high cytotoxicity, and significant anti-tumor activity.

Abstract: Enclosed are embodiments for diagnosis and monitoring of bruxism using earbud motion sensors. In an embodiment, a method comprises: receiving, with at least one processor, a signal derived from a motion sensor in an earbud, wherein the signal is captured while the earbud is inserted in an ear of a user; segmenting, with the at least one processor, the signal into segments; extracting, with the at least one processor, features from the segments; classifying, with the at least one processor, the features; and determining, with the at least one processor, that orofacial activity is predicted based on the classifying.

Abstract: A mobility assistance device and a driving method thereof are provided. The mobility assistance device includes at least one bracket and a driving device which drives the at least one bracket. The driving device includes a brushless direct current (DC) motor, a rotor angle sensor, and a sensing driver. The rotor angle sensor senses the angle of the brushless DC motor. The sensing driver uses a corresponding algorithm to estimate a corresponding angle corresponding to an angle velocity switching of the brushless DC motor. The corresponding angle is used as an angle of the brushless DC motor. The sensing driver drives the brushless DC motor according to the corresponding angle, so that the brushless DC motor provides supporting force to the at least one bracket.

Abstract: A speaker device includes a housing body, a speaker driver and a passive radiator. The housing body is formed with a first sound hole and a second sound hole respectively opening in two opposite directions. The speaker driver is disposed in the housing body, is located adjacent to the first sound hole, and is adapted to generate sound. The passive radiator is disposed in the housing body, is located adjacent to the second sound hole, and is adapted to generate sound. The first sound hole and the second sound hole are adapted for respectively allowing the sound generated by the speaker driver and the sound generated by the passive radiator to travel out from the housing body respectively in two opposite directions therethrough.

Abstract: In one embodiment, an apparatus comprises processing circuitry to: receive wireless signal data corresponding to an RFID tag, wherein the wireless signal data comprises signal strength data and signal phase data corresponding to wireless signals transmitted by the RFID tag and received by an RFID reader; generate decomposed signal strength data based on a seasonal decomposition of the signal strength data; generate a frequency-phase curve based on the signal phase data; extract a set of signal strength features based on the decomposed signal strength data; extract a set of signal phase features based on the frequency-phase curve; and detect a motion state of the RFID tag using a machine learning classifier, wherein the machine learning classifier is trained to detect the motion state based on the set of signal strength features and the set of signal phase features.

Abstract: A force applying auxiliary device and a control method thereof are provided. The force applying auxiliary device includes a sensor group, a processor, and a force applying driver. The sensor group includes a first sensor disposed on a first side and a second sensor disposed on a second side. The processor collects motion posture data of a user according to the first sensor and the second sensor, and determines whether a motion of the user is abnormal. When determining that the motion of the user is abnormal, the processor selects at least one preset abnormal pattern as a specific abnormal pattern according to the motion posture data, and controls the force applying driver to provide a force by using the specific abnormal pattern. A force difference between first and second forces applied to first and second side feet is adjusted based on a difference in sampling values between the sensors.

Abstract: A method for image restoration, an electronic device and a computer storage medium are provided. The method includes that: region division is performed on an acquired image to obtain more than one sub-image; each sub-image is input into multiple paths of neural network and restored by using a restoration network determined for each sub-image; a restored image of each sub-image is output and obtained, so as to obtain a restored image of the acquired image.

Abstract: An image processing method includes: acquiring an image frame sequence, including a to-be-processed image frame and one or more image frames adjacent thereto, and performing image alignment on the to-be-processed image frame and each of image frames in the image frame sequence to obtain multiple pieces of aligned feature data; determining, based on the multiple pieces of alignment feature data, multiple similarity features each between a respective one of the multiple pieces of aligned feature data and aligned feature data corresponding to the to-be-processed image frame, and determining weight information of each of multiple pieces of aligned feature data based on the multiple similarity features; and fusing the multiple pieces of aligned feature data according to the weight information to obtain fusion information of the image frame sequence, the fusion information being configured to acquire a processed image frame corresponding to the to-be-processed image frame.