Abstract: A method and system for training an EEG signal denoising model of an EEG collection device is provided. The method includes generating an analog EEG signal and obtaining a collected EEG signal by collecting the analog EEG signal through the EEG collection device. The collected EEG signal contains a noise caused by the EEG collection device. The method further includes obtaining the EEG signal denoising model of the EEG collection device by training a denoising model based on the collected EEG signal. The training includes obtaining a denoised EEG signal by processing the collected EEG signal through the denoising model; obtaining a discrimination result by processing the denoised EEG signal through a discriminant model; and adjusting a model parameter of the denoising model based on the discrimination result. The discrimination result reflects a probability that the discriminant model determines that the processed denoised EEG signal is a clean EEG signal.

Abstract: A riser tube coating for a cast aluminum alloy includes a coating-riser tube contact layer material and a coating-aluminum liquid contact layer material. The present invention has a coating protection effect to the maximum mainly by designing ratios of ZrO, Al2O3, ZnO, binders and other materials and a coat drying heat treatment process, and finally realizes effects of protecting a riser tube, being free of aluminum sticking and prolonging a service life.

Abstract: A curable composition contains: (A) a polydiorganosiloxane component including: (A1) greater than 3.1 wt % to 20 wt % of an aliphatically unsaturated polydiorganosiloxane polymer and (A3) a hydroxyl-terminated polydiorganosiloxane gum of unit formula (A-III); (B) a polyorganosilicate resin component including (B1) a capped resin, (B2) >18.53 wt % to 54.3 wt % of an uncapped resin; where the weight ratio of the uncapped resin (B2) to the capped resin (B1) is greater than 0.51 to 58.82; where component (A) and component (B) are present in amounts to provide a weight ratio of (B):(A) of 1.2:1 to less than 1.62:1; (C) a polyorganohydrogensiloxane that is present in an amount to provide a molar ratio of silicon bonded hydrogen atoms to alkenyl groups for the curable composition of 5 to 50; (D) a hydrosilylation reaction catalyst in an amount sufficient to provide 1 to 1000 ppm of platinum group metal; and (E) a condensation reaction catalyst; where the content of alkenyl groups in the curable composition is 0.

Abstract: A vehicle localization method and device, an electronic device and a storage medium. The vehicle localization method includes: acquiring an image of a scene where a vehicle is located, the image comprising a semantic element; determining an element category corresponding to the semantic element; matching the semantic element with a map element to acquire a matching result by a matching method corresponding to the element category; and determining localization information of the vehicle according to the matching result.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may receive an indication of a first transmit power configuration and a second transmit power configuration for a physical uplink shared channel (PUSCH) communication. The wireless communication device may transmit, using a first transmit power that is based at least in part on the first transmit power configuration, a first portion of the PUSCH communication in a full-duplex portion of a time-frequency resource. The wireless communication device may transmit, using a second transmit power that is based at least in part on the second transmit power configuration, a second portion of the PUSCH communication in a non-full-duplex portion of the time-frequency resource. Numerous other aspects are provided.

Abstract: Embodiments of this application provide an operating system management method, a device, and a storage medium. The method includes: loading data in a basic partition, a first static partition, and a dynamic partition to run a first operating system; upgrading data in a second static partition; restarting the electronic device, and determining that a current startup sequence is starting from the second static partition; and loading data in the basic partition, the second static partition, and the dynamic partition to run a second operating system. After the restarting the electronic device, and determining that a current startup sequence is starting from the second static partition, the method further includes: synchronizing the data in the second static partition to the first static partition. When an error occurs in a currently loaded static partition, data of another static partition may be used for recovery.

Abstract: A display panel includes: a light-emitting baseplate including a plurality of light-emitting components arranged in array; a first light extraction layer located at a light-emitting side of the light-emitting baseplate and including a plurality of first light extraction patterns, orthographic projections of the plurality of first light extraction patterns on the light-emitting baseplate covering at least part area of the light-emitting components; a color filter layer including a plurality of filter patterns, orthographic projections of the plurality of filter patterns on the light-emitting baseplate covering orthographic projections of the plurality of light-emitting components on the light-emitting baseplate; and a second light extraction layer including a plurality of second light extraction patterns, orthographic projections of the second light extraction patterns on the light-emitting baseplate being within the orthographic projections of the plurality of filter patterns on the light-emitting baseplate.

Abstract: Various methods and systems for determining one or more states of an autonomous vehicle for positioning when transitioning between two or more different environments are disclosed herein. The systems and methods disclosed herein can include a positioning system that includes two or more different positioning subsystems operable to generate positional data representing a current position of the autonomous vehicle.

Abstract: An apparatus and method for processing an image are disclosed. The method includes: segmenting both a first image and a second image and generating segmentation mask pairs, each segmentation mask pair having a segmentation mask of the first image and a segmentation mask of the second image; generating local homography matrices of the first image with respect to the second image, based on the segmentation mask pairs, the first image, and the second image; and generating a synthetic image obtained by aligning the first image with the second image, wherein the aligning is performed based on the local homography matrices, the segmentation mask pairs, the first image, and the second image.

Abstract: Embodiments of the present disclosure provide a radiotherapy system, comprising a first imaging component, a second imaging component, and a treatment component. The first imaging component and second imaging component may be used to determine a target region of an object and/or to guide an emission of treatment rays. The treatment component may be used to emit the treatment rays toward the target region. An isocenter of the treatment component may coincide with an isocenter of the second imaging component.

Abstract: A method and a system for temperature measurement of fluid in a pipe, an electronic device and a storage medium are provided, and relates to the technical field of temperature measurement in a pipe. The method includes: determining fixed parameters of an object to be measured, a flow rate of the fluid, a noise variance and an observation variance; determining a predicted temperature at a current moment according to an optimal internal pipe temperature and a flow rate of the fluid at a previous moment; determining a covariance at the current moment according to the noise variance and an optimal covariance at the previous moment; determining a weight coefficient at the current moment; and determining an optimal internal pipe temperature at the current moment, thereby expanding the application range of temperature measurement in a pipe.

Abstract: Provided are an N-phenylimine derivative and a preparation method and use thereof. Provided is an N-phenylimine derivative, being selected from the group consisting of: a 1,2,4-oxadiazole-N-phenylimine derivative represented by formula 1, a 1,3,4-oxadiazole-N-phenylimine derivative represented by formula 2, an N-phenylimine amide (ester) derivative represented by formula 3, and an N-phenylimine benzoate derivative represented by formula 4.

Abstract: A particle trap system is provided, to resolve a problem of complex particle addressing in a conventional technology, and can be used in fields such as quantum computing. The particle trap system may include a trapping module, a first optical splitting module, and a first relative delay module. The trapping module is configured to trap at least two particles. The first optical splitting module is configured to split a received light beam into a first light beam and a second light beam. The first relative delay module is configured to adjust a delay amount for the first light beam and the second light beam to reach a first target particle, where an adjusted first light beam and an adjusted second light beam overlap at the first target particle, and the first target particle is at least one particle in the trapping module.

Abstract: The present disclosure relates to an image recognition method and system for a display panel, a training method, and an electronic device and a non-volatile computer-readable storage medium. The image recognition method includes: acquiring an image of a display panel, wherein the image includes gate lines extending in a first direction and data lines extending in a second direction, the gate lines and the data lines intersecting to define a plurality of sub-pixel regions, and the image further includes a defect pattern; and recognizing the defect pattern in the image by using an image recognition model to obtain defect information, wherein the defect information includes at least one of a defect type or a defect position of the defect pattern, the image recognition model comprises a first attention model configured to learn a weight proportion of a feature of the defect pattern in the image.

Abstract: Provided are a method and device for recommending goods, a method and device for training a goods knowledge graph, and a method and device for training a model. The method for training a goods knowledge graph includes: constructing an initial goods knowledge graph based on a first type of triples and a second type of triples, where a format of the first type of triples is head entity-relation-tail entity, and a format of the second type of triples is entity-attribute-attribute value (S101); and training the initial goods knowledge graph based on a graph embedding model to obtain embedding vectors of entities in the trained goods knowledge graph (S102).

Abstract: A computer-implemented method for place recognition including: obtaining information identifying an image of a first scene; identifying a plurality of pixel clusters in the image; generating a set of feature vectors associated with the pixel clusters; generating a graph of the scene; adding a first edge between a first node and a second node in response to determining that a first property associated with a first pixel cluster is similar to a second property associated with a second pixel cluster; generating a vector representation of the graph; calculating a measure of similarity between the vector representation of the graph and a reference vector representation associated with a second scene; and determining that the first scene and the second scene are associated with a same place in response to determining that the measure of similarity is less than a threshold.

Abstract: The present invention relates to bicyclic heterocycles, and pharmaceutical compositions of the same, that are inhibitors of the FGFR enzyme and are useful in the treatment of FGFR-associated diseases such as cancer.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a sounding reference signal (SRS) that indicates that the UE is configured with a quantity of receive elements that is greater relative to a quantity of transmit elements with which the UE is configured. The UE may receive, based at least in part on transmitting the SRS, a first channel state information (CSI) reference signal (CSI-RS) set and a second CSI-RS set. The UE may transmit a CSI report that is based at least in part on the first CSI-RS set and the second CSI-RS set. Numerous other aspects are provided.

Abstract: An electrolyte including an imidazolium salt compound and a pyridine compound. The electrolyte, includes a compound of Formula I and a compound of Formula II: where R1 is selected from halo, cyano, substituted or unsubstituted C1-C12 alkyl, substituted or unsubstituted C2-C12 alkenyl, substituted or unsubstituted C2-C12 alkynyl, substituted or unsubstituted C2-C12 alkoxy, substituted or unsubstituted C3-C12 cycloalkyl, and substituted or unsubstituted C6-C12 aryl; and R11, R12, R13, R14 and R15 are each independently selected from H, halo, cyano, substituted or unsubstituted C1-C12 alkyl, substituted or unsubstituted C2-C12 alkenyl, substituted or unsubstituted C2-C12 alkynyl, substituted or unsubstituted C2-C12 alkoxy, substituted or unsubstituted C3-C12 cycloalkyl, and substituted or unsubstituted C6-C12 aryl; when substituted, the substituent is halo or cyano.

Abstract: A system may be configured to detect custom acoustic events, where the system generates an acoustic event profile for the custom acoustic event based on a natural language description provided by a user and using an audio sample of the described acoustic event. For example, the user may describe the custom acoustic event as “dog bark.” The system may ask the user questions to refine the description (e.g., dog breed, dog gender, age, etc.). Using an audio sample of the refined description, the system may then determine that audio captured in the user's environment is a potential sample of the custom acoustic event. Such captured audio may be presented to the user for confirmation, and then may be used to detect future occurrences of the custom acoustic event in the user's environment.