Abstract: Provided are a text processing method and apparatus, an electronic device, and a medium. The method includes the following: target text information generated based on audio information is acquired; a to-be-error-corrected word in the target text information and a target candidate replacement word corresponding to the to-be-error-corrected word are determined; and a target replacement word corresponding to the to-be-error-corrected word is determined according to the target candidate replacement word, and the target text information is updated based on the target replacement word.

Abstract: Embodiments of this application provide an information transmission method, a network device, and a user equipment. The method provided in this application includes: sending, by a network device, a broadcast frame that includes first duration information and second duration information that are of A-BFT (Association Beamforming Training); receiving a frame sent by a first user equipment in a timeslot randomly selected from a first time range; and receiving a frame sent by a second user equipment in a timeslot randomly selected from a second time range. According to the embodiments of this application, beamforming training efficiency can be improved.

Abstract: This application provides an information indication method and an apparatus. In this application, a sending apparatus generates and sends a first frame, the first frame includes at least one piece of sub-time resource indication information, and each piece of sub-time resource indication information is in a one-to-one correspondence with one of at least one response apparatus. In addition, each piece of sub-time resource indication information includes a time resource at which the corresponding response apparatus sends feedback information for the first frame to the sending apparatus and a time resource at which the sending apparatus sends acknowledgment information for the feedback information to the corresponding response apparatus, so that the at least one response apparatus and the sending apparatus that sends the first frame can simultaneously perform beamforming training, thereby improving effectiveness of beamforming training performed on the sending apparatus and the at least one response apparatus.

Abstract: An in-plane metal microneedle array and a manufacturing method therefor is disclosed. A large-size metal sheet is cut into small metal sheets. Inner sides of the upper and the lower cover plates of the tooling are provided with grooves matched with the sizes of the small metal sheets. Through holes are formed at edges around the cover plates. The metal sheets are placed in the grooves and fastened through bolts. The geometry and the size of a sheet microneedle array are designed, and a CAD model of the plane microneedles is built. A wire path is cut according to the CAD model. A few materials are reserved on both sides of substrates of the microneedle array without cutting. The unprocessed parts on both sides of the microneedle substrate are cut to obtain an in-plane metal microneedle array with a plurality of microneedle bodies.

Abstract: A free piston generator based on a rigid synchronous transmission system is provided, which belongs to the technical field of power energy. The present disclosure solves the problems of low power generation efficiency and low stability of the existing free piston generator. The free piston generator based on the rigid synchronous transmission system includes a first linear generator set, a second linear generator set, a rigid synchronous transmission assembly, two high-pressure cylinders arranged at two ends of the first linear generator set, and two low-pressure cylinders arranged at two ends of the second linear generator set.

Abstract: The present application provides a self-supervised learning method performed by a computer device. The method includes: performing a data enhancement on an original medical image to obtain a first enhanced image and a second enhanced image, the first enhanced image and the second enhanced image being positive samples of each other; performing feature extractions on the first enhanced image and the second enhanced image by a feature extraction model to obtain a first image feature of the first enhanced image and a second image feature of the second enhanced image; determining a model loss of the feature extraction model based on the first image feature, the second image feature, and a negative sample image feature, the negative sample image feature being an image feature corresponding to other original medical images; and training the feature extraction model based on the model loss.

Abstract: A method for microscope-based super-resolution includes acquiring a to-be-processed image and at least an auxiliary image, the to-be-processed image includes a target area, the auxiliary image includes an overlapping portion with the target area, and the to-be-processed image and the auxiliary image are both microscope images of a first resolution. The method further includes registering the to-be-processed image and the auxiliary image to obtain a registered image, and extracting one or more high-resolution features from the registered image. The one or more high-resolution features represent image features of the target area in a second resolution, and the second resolution is greater than the first resolution. The method also includes reconstructing, based on the one or more high-resolution features, a target image of the second resolution corresponding to the to-be-processed image of the first resolution.

Abstract: Techniques for enhancing image segmentation with the integration of deep learning are disclosed herein. An example method for atlas-based segmentation using deep learning includes: applying a deep learning model to a subject image to identify an anatomical feature, registering an atlas image to the subject image, using the deep learning segmentation data to improve a registration result, generating a mapped atlas, and identifying the feature in the subject image using the mapped atlas. Another example method for training and use of a trained machine learning classifier, in an atlas-based segmentation process using deep learning, includes: applying a deep learning model to an atlas image, training a machine learning model classifier using data from applying the deep learning model, estimating structure labels of areas of the subject image, and defining structure labels by combining the estimated structure labels with labels produced from atlas-based segmentation on the subject image.

Abstract: A statistical learning technique that does not rely upon paired imaging information is described herein. The technique may be computer-implemented and may be used in order to train a statistical learning model to perform image synthesis, such as in support of radiation therapy treatment planning. In an example, a trained statistical learning model may include a convolutional neural network established as a generator convolutional network, and the generator may be trained at least in part using a separate convolutional neural network established as a discriminator convolutional network. The generator convolutional network and the discriminator convolutional network may form an adversarial network architecture for use during training. After training, the generator convolutional network may be provided for use in synthesis of images, such as to receive imaging data corresponding to a first imaging modality type, and to synthesize imaging data corresponding to a different, second imaging modality type.

Abstract: The present disclosure discloses Saccharopolyspora and application thereof in reducing biogenic amines, belonging to the technical field of food fermentation. Saccharopolyspora jiangxiensis J3 is screened from wheat koji and has been preserved in China Center for Type Culture Collection (CCTCC) on Apr. 30, 2020, with a preservation number of CCTCC NO: M 2020104. According to the present disclosure, the strain is applied to a food fermentation system, and results show that the strain does not affect normal fermentation of food, and has an effect of reducing the content of biogenic amines in fermented alcoholic drinks, fermented food and fermented condiments, so that the strain has broad application prospects in the field of food brewing.

Abstract: This application provides an information indication method and an apparatus. In this application, a sending apparatus generates and sends a first frame, the first frame includes at least one piece of sub-time resource indication information, and each piece of sub-time resource indication information is in a one-to-one correspondence with one of at least one response apparatus. In addition, each piece of sub-time resource indication information includes a time resource at which the corresponding response apparatus sends feedback information for the first frame to the sending apparatus and a time resource at which the sending apparatus sends acknowledgment information for the feedback information to the corresponding response apparatus, so that the at least one response apparatus and the sending apparatus that sends the first frame can simultaneously perform beamforming training, thereby improving effectiveness of beamforming training performed on the sending apparatus and the at least one response apparatus.

Abstract: A method for sensing sneezing based on a wireless signal includes obtaining a wireless signal, where the wireless signal propagates in space including a first object. Doppler estimation is performed on the wireless signal, to obtain Doppler information of the wireless signal. The Doppler information of the wireless signal may be used for indicating impact of the first object on a frequency of the wireless signal. Whether the first object is sneeze droplets is determined based on the Doppler information of the wireless signal.

Abstract: An optical detection device includes a photocurrent input terminal; a first branch connected to the photocurrent input terminal includes a plural of MOS transistors; a second branch connected to the photocurrent input terminal includes a plural of MOS transistors. The MOS transistors in the first branch and the MOS transistors in the second branch are arranged in a mirror image manner; a control module connected to the first branch and the second branch to turn on or off the MOS transistors in the second branch; a first auxiliary current input terminal connected to the first branch and a second auxiliary current input terminal connected to the first branch, which are used to compensate the current of the MOS transistors in the first branch; a first current output terminal connected to the first branch and the second branch.

Abstract: This application provides a sensing measurement information exchange apparatus, applied to a first station. The apparatus includes: a transceiver unit, configured to receive sensing measurement report information sent by a second station, where the sensing measurement report information includes N groups of first measurement results, where the N groups of first measurement results are in a one-to-one correspondence with N first transmission paths between the first station and the second station, and each group of first measurement results includes an angle of arrival, relative time of flight, and a Doppler frequency shift of a corresponding first transmission path; and a processing unit, configured to obtain angles of arrival, relative time of flight, and Doppler frequency shifts of the N first transmission paths based on the sensing measurement report information. This application implements measurement of locations and instantaneous speeds of a plurality of passive targets.

Abstract: A method for managing a cloud computing system, capable of allocating computing and network resources to a plurality of clients, each client being associated with at least one user likely to access the computing and network resources allocated to the client by the cloud computing system. This method includes, for at least one client of the cloud computing system: providing to the client a meta-model having a plurality of elements defining an access control model and an access control policy for the client; receiving an instance of the meta-model provided by the client, this instance defining, for the client, an access control model and an access control policy based on this access control model; and applying the access control policy to control an access of a user of the client to at least one resource allocated to the client by the cloud computing system.

Abstract: The present disclose relates to a multiphase power converter and control circuit and control method thereof. The multiphase power converter comprises a plurality of power stage circuits, and each power stage circuit corresponds to one control circuit, each of the control circuit comprises a first port and a second port, wherein the first ports are connected to each other to receive centralized control signal, and the second port is configured to identify a phase sequence of each phase. The control circuit adjusts a working state of the current power stage circuit by gating corresponding pulse in the centralized control signal according to the centralized control signal and a current phase sequence, thereby realizing an interleaved control of the multiphase power converter. The control method realizes a uniform interleaving of control signals of each phase efficiently and simply, and further improves a power density of the multiphase power converter.

Abstract: Embodiments of this application provide a cross-device application invoking method and an electronic device, relate to the field of electronic device technologies, and can reduce operation complexity and improve work efficiency of a user. The specific solution includes: A first electronic device may display a first interface in response to a first operation performed by the user on target data; and then, the first electronic device sends a first message to a second electronic device in response to a second operation performed by the user on an icon of a first application in icons of a plurality of applications.

Abstract: The present invention discloses a method and an apparatus for extracting mountain landscape buildings based on high-resolution remote sensing images. The method comprises: segmenting a remote sensing image, and extracting non-vegetation areas from the remote sensing image by using NDVI; segmenting the non-vegetation areas, and extracting building areas by using NDBI; segmenting the building areas again, and calculating a normalized difference build shadow index NSBI of each patch; calculating NSBI separator of each patch in the non-vegetation areas and setting a separator threshold, and extracting landscape building areas based on the threshold. In the present invention, by introducing a near infrared band in the remote sensing image spectrum, in which there is a significant difference between shadows and non-shadows, the influence of large shadow areas in mountainous shady areas in the remote sensing image on the result of extraction is reduced.

Abstract: Provided is a free piston generator based on a split thermodynamic cycle, which belongs to the technical field of power energy. The present disclosure solves the problem of low power generation efficiency of an existing free piston generator. The free piston generator includes a linear generator set and two internal combustion engine sets arranged at two ends of the linear generator set. Air is first subjected to first-stage compression by the low-pressure cylinder set in the internal combustion engine sets and is then subjected to second-stage compression in the high-pressure cylinders, so that the intake pressure of an internal combustion engine is effectively increased, which is favorable for increasing the average effective pressure in a work process, thereby improving the thermal efficiency and the power generation efficiency of the free piston generator.

Abstract: Embodiments are provided for improved analysis of surgically explanted pathology samples or other varieties of tissue sample by guiding the sectioning of those samples using high-resolution volumetric imaging data. Such imaging data can include micro-CT imaging data. Improved sample imaging and visualization methods facilitate pathological analysis of the sample, guiding the sectioning of the sample to planes most likely to provide highly valuable and accurate data about sample margins relative to tumors or other target structures, tissue type cell morphology or other properties of a tumor or other target structure, or other clinically relevant data that could be missed were the tissue sample not sectioned along such image-guided plane(s). A projector or augmented-reality device can be used to indicate, to a pathologist, the location of structures of interest within the sample and/or the location of a sectioning gig could be detected/controlled relative to a display of the imaging data.