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: Provided are catechol nanoparticles, catechol protein nanoparticles, and a preparation method and use thereof. The method includes: adding a tannin compound-containing natural herb medicine into water to obtain a mixture, and subjecting the mixture to heating reflux extraction to obtain a herb medicine extract and subjecting the herb medicine extract to fractionation to obtain the catechol nanoparticles.

Abstract: A reshaping method for metal product includes acquiring position data information of a workpiece; converting the position data information into coordinate information, and fitting the coordinate information to obtain a surface contour curve of the workpiece; comparing the surface contour curve with a standard contour curve to generate a comparison result; obtaining reshaping information of the workpiece based on the comparison result; and controlling the reshaping system to reshape the workpiece. The disclosure acquires position data information of the workpiece by measuring, converts the position data information into coordinate information, fits the coordinate information to obtain the surface contour curve of the workpiece, compares the surface contour curve with the standard contour curve to obtain deformation situation, and reshapes the workpiece according to the reshaping information based on the deformation situation, which improves efficiency of workpiece reshaping and reducing labor costs.

Abstract: A tunnel operation robot includes a robot body, a walking module, a fixed wing module and a plurality of rotatable wing modules. Both sides of the robot body are provided with cantilever parts, which are collinearly arranged. The walking module is arranged on the robot body. The fixed wing module includes a fixed fan, is fixedly arranged on the robot body, and is configured to provide a pressure for the walking module to be attached to and pressed against the tunnel wall surface. The plurality of rotatable wing modules are respectively arranged on the cantilever parts on both sides of the robot body, and include a rotatable rotating fan and a wind direction adjustment driver. Each rotating fan has a rotation axis parallel to the cantilever parts and an air outlet direction perpendicular to the cantilever parts, and the wind direction adjustment driver is connected to the rotating fan.

Abstract: A three-stage tubular T-shaped degassing device with microbubble axial flow and spiral flow fields is provided, which is applied to quick degassing of a gas-liquid two-phase flow. The three-stage tubular T-shaped degassing device adopts a quick degassing technology combining a microbubble uniform mixed rotational axial flow field and a spiral runner conical spiral flow field with layered jet collision reversing depth degassing. A microbubble uniform mixer is configured to adjust gas-liquid two-phase flow containing big bubbles into microbubble uniform mixed axial flow. A microbubble cyclone is configured to adjust the microbubble uniform mixed axial flow into multiple strands of rotational axial flows containing microbubbles. A rotational axial flow degasser implements the horizontal type microbubble uniform mixed multiple strands rotational axial flow degassing operation to remove most microbubbles to form axial flow gas and axial flow liquid.

Abstract: The three-stage axial flow degassing device adopts an efficient degassing technology including a vertical high speed swirling field, a horizontal rapid axial flow field and a vertical reversing scrubbing field formed by a combination of vertical tubes; the first-stage degasser performs the first-stage segmental vertical high speed swirling degassing operation, removes the gas phase carried by the gas-containing fluid, and forms a primary gas and a primary fluid; the microporous uniform mixer breaks bubbles of the primary fluid and forms a gas-liquid uniform mixed flow; the second-stage degasser performs the second-stage horizontal vane wheel swirling generating rapid axial flow degassing operation, removes the gas phase carried by the gas-liquid uniform mixed flow, and forms a secondary gas and a secondary fluid; the third-stage degasser performs the third-stage vertical reversing deep degassing operation, removes liquid phase carried by the secondary gas, and forms a tertiary gas and a tertiary fluid.

Abstract: A method and system for transforming an input image via a plurality of image transformation stylizers includes receiving the input image; providing the input image, information about the plurality of image transformation stylizers and at least one of user data, history data, and contextual data to a trained machine-learning (ML) model for selecting a subset of the plurality of image transformation stylizers; receiving as an output from the ML model the subset of image transformation stylizers; executing the subset of the image transformation stylizers on the input image to generate a plurality of transformed output images; ranking the plurality of transformed output images based on at least one of the input image, the user data, the history data, and the contextual data; and providing the ranked plurality of transformed output images for display.

Abstract: Disclosed is a model training control method based on asynchronous federated learning, an electronic device and a storage medium, relating to data processing technical field, and especially to technical fields such as edge computing and machine learning. The method includes: sending a first parameter of a first global model to a plurality of edge devices; receiving a second parameter of a second global model returned by a first edge device of plurality of edge devices, the second global model being a global model obtained after the first edge device trains the first global model according to a local data set; and sending a third parameter of a third global model to a second edge device of the plurality of edge devices in a case of the third global model is obtained based on aggregation of at least one second global model.

Abstract: A method comprises obtaining a test specification document of a user, wherein the test specification document comprises a test scheme based on a natural language; recommending, to the user and based on a first test step in the test scheme, a test interface set comprising a plurality of test interfaces for implementing a second test step, performing, by the user, a selection operation on the test interfaces in the test interface set; and generating, based on the selection operation, one or more test cases.

Abstract: A method and a platform for detecting an immunogenicity of a tumor neoantigen are provided. Specifically, the detection method includes the following steps: culturing human peripheral blood monocytes ex vivo for 13 days, adding an antigenic peptide fragment of human influenza virus and stimulating and activating cytokines, antigenic peptides, and immunoadjuvants during the 13 days, and finally conducting enzyme-linked immunospot (ELISPOT) chromogenic reaction and instrument-based scanning, counting, and analysis to detect the immunogenicity of tumor neoantigen. An application of the detection method and platform in biomedicine is provided. Compared with the prior art, the detection method and platform have advantages and characteristics of a short detection period, high convenience, low consumption of experimental cells, and low detection cost. Therefore, the detection method and platform can be used for ex vivo high-throughput assay for the immunogenicity of the tumor neoantigen.

Abstract: The present disclosure relates to an integrated chip. The integrated chip includes an image sensing element disposed within a substrate. A gate structure is disposed along a front-side of the substrate. A back-side of the substrate includes one or more first angled surfaces defining a central diffuser disposed over the image sensing element. The back-side of the substrate further includes second angled surfaces defining a plurality of peripheral diffusers laterally surrounding the central diffuser. The plurality of peripheral diffusers are a smaller size than the central diffuser.

Abstract: An anchoring device for adapting to tide level for a wave energy power generation device comprises: a housing, wherein a central main shaft is provided at the center thereof, two ends of the central main shaft are respectively rigidly connected to a volute spring, and the interior of the housing is divided into several independent compartments, including a central compartment accommodating the central main shaft; a shaft lock and a central main gear capable of driving the central main shaft to rotate mounted on the central main shaft; and a plurality of hoisting wheel compartments arranged at equal intervals in a circumferential array around the central main shaft. A hoisting wheel is provided in each of the hoisting wheel compartments, and an anchor chain wound on the hoisting wheel protrudes out of the housing through an opening at the bottom of the hoisting wheel compartment.

Abstract: Disclosed are heteroaryl compounds and pharmaceutical compositions thereof, which are useful for inhibiting EGFR, as well as methods for using such compounds to treat cancer associated with an EGFR or HER2 exon 20 insertion mutation.

Abstract: A video generation method, a video playing method, a video generation device, a video playing device, an electronic apparatus and a computer-readable storage medium are provided. The video generation method includes: acquiring a first video; performing an effect processing on the first video to obtain a second video; superimposing an dynamic effect on the second video to obtain a third video, wherein the dynamic effect comprises a dynamic image that presents a related information corresponding to the first video; and obtaining a fourth video based on the first video and the third video to generate a fourth video, wherein an image of the fourth video comprises a first image and a second image, the first video comprises an image of the first video, and a second image comprises an image of the third video.

Abstract: A method for model aggregation in federated learning (FL), a server, a device, and a storage medium are suggested, which relate to the field of artificial intelligence (AI) technologies such as machine learning. A specific implementation solution involves: acquiring a data not identically and independently distributed (Non-IID) degree value of each of a plurality of edge devices participating in FL; acquiring local models uploaded by the edge devices; and performing aggregation based on the data Non-IID degree values of the edge devices and the local models uploaded by the edge devices to obtain a global model.

Abstract: A video generation method, a video playing method, a video generation device, a video playing device, an electronic apparatus and a computer-readable storage medium are provided. The video generation method includes: acquiring a first video; executing Gaussian blur special effect processing on the first video to obtain a second video; superimposing an additional dynamic effect on the second video to generate a third video, wherein the additional dynamic effect is a dynamic image that presents a related information corresponding to the first video in a dynamic effect; and splicing the first video with the third video to generate a fourth video, wherein an image area of the fourth video comprises a first image area configured to display an image of the first video and a second image area configured to display an image of the third video.

Abstract: Provided are an interaction method and apparatus, an electronic device, and a storage medium. The method includes displaying a target page, where target content containing a target object is displayed in the target page; receiving a shake trigger operation of a user; and in response to the shake trigger operation, displaying associated content of the target content in a layer above the target page and displaying the detail page of the target object after completing displaying the associated content.

Abstract: A federated computing method, an electronic device and a storage medium. Metadata to be processed is obtained from each participant based on a task identifier (ID) to be executed. n data slices corresponding to each participant are obtained by dividing the metadata, where n is a positive integer greater than 1. n data sets are generated based on the n data slices corresponding to each participant. n data processing services corresponding to the task ID are called to process each data set using each of the data processing services. A federated computing result corresponding to the task ID is determined based on a processing result of each of the data processing services.

Abstract: A display method, apparatus, device and storage medium, the method includes: displaying a user interface for playing a target video (S101), where the user interface includes an image display area, and the target video includes multiple target sub-videos; playing each target sub-video in the target video sequentially on the user interface while displaying multiple images in the image display area (S102), where the multiple target sub-videos respectively correspond to the multiple images displayed in the image display area; and in response to a first triggering operation acting on a target image in the image display area, jumping to and displaying target information associated with the target image (S103), where the target image includes any image displayed in the image display area. The method can provide users with convenient operations to realize multi-functionalization, thereby meeting their needs and enhancing their operational experience.

Abstract: Provided are an image occlusion method, a model training method, a device, and a storage medium, which relate to the technical field of artificial intelligence, in particular, to the field of computer vision technologies and deep learning, and may be applied to image recognition, model training and other scenarios. The specific implementation solution is as follows: generating a candidate occlusion region according to an occlusion parameter; according to the candidate occlusion region, occluding an image to be processed to obtain a candidate occlusion image; determining a target occlusion region from the candidate occlusion region according to visual security and data availability of the candidate occlusion image; and according to the target occlusion region, occluding the image to be processed to obtain a target occlusion image. In this manner, the image to be processed is desensitized while the accuracy of target recognition is ensured.