Abstract: Provided are a video sharing method and apparatus, an electronic device, and a storage medium. The method comprises: determining a designated user, and triggering a video filming instruction for the designated user; displaying a filming interface in response to receipt of the video filming instruction; initiating video filming in response to receipt of an initiate instruction, and in response to determining that voice information is received, adding the voice information in the form of a subtitle to the filming interface to obtain a filmed video; and sharing the filmed video with the designated user through a conversation message.

Abstract: A shooting method includes the following steps. A shooting page including a control region and a main display region is displayed, where the control region is used to display at least two effect controls, a more effect control, and a main shooting control, the at least two effect controls correspond to recommended effects according to a preset recommendation parameter; in response to a target slide operation in the main display region, the controls is moved along a sliding direction of the target slide operation, a target control is determined according to the target slide operation; in response to the target control being one effect control, a preview of a target effect corresponding to the target control is displayed on the shooting page, and capturing is performed using the target effect in response to a first trigger operation on the trigger position.

Abstract: A follow-hold switch circuit comprising: a follower; a sampling sub-circuit for voltage sampling; a bootstrap-control sub-circuit, which provides a bootstrap voltage to the sampling sub-circuit when the circuit is in a following state; a sampling-switch-control sub-circuit, which provides a common-mode voltage to a bootstrap capacitor in the bootstrap-control sub-circuit when the circuit is in a holding state; the follower is connected to an output of the sampling sub-circuit; the sampling sub-circuit is connected to the bootstrap-control sub-circuit and the sampling-switch-control sub-circuit respectively through a sampling switch; the present disclosure can effectively improve the linearity of sampling switches.

Abstract: A rendering method includes that a physical engine on a remote computing platform obtains a physical simulation result based on an operation instruction sent by a user corresponding to a first rendering engine or a user corresponding to a second rendering engine, and then sends the physical simulation result to the first rendering engine and the second rendering engine, so that the first rendering engine performs rendering based on the physical simulation result to obtain a first rendered image, and the second rendering engine performs rendering based on the physical simulation result to obtain a second rendered image, where the operation instruction affects at least one three-dimensional model in a target scene, and the physical simulation result includes physical information of the at least one three-dimensional model affected by the operation instruction.

Abstract: A reversible electromagnetic valve and an air conditioning unit are provided. The reversible electromagnetic valve includes a valve body and a valve core assembly, the valve body is provided with a valve cavity, and the valve core assembly is arranged in the valve cavity. The valve core assembly includes a piston and a connecting rod, wherein the piston is provided with a connecting hole, one end of the connecting rod penetrates through the connecting hole and is connected with the piston, and the connecting rod includes a tapered section, an outer diameter of which gradually changes along an axial direction of the connecting rod component. The tapered section extends into the connecting hole and abuts against an inner wall of the connecting hole, so that the connecting rod component is sealed and connected with the piston.

Abstract: An apparatus is provided with processing circuitry that receives a phase image acquired at a corresponding cardiac phase, determines, from the received phase image, a mask image of a particular cardiac region, applies both the determined mask image and the phase image to inputs of a trained neural network model to obtain, from outputs of the neural network model, a location probability map. The neural network model is trained with a set of input data and a corresponding set of output data. The input data includes a training mask image and a training phase image, and the output data includes a training location probability map. The processing circuitry calculates, for the cardiac phase, from the determined location probability map output from the trained neural network model, a value of a cardiac motion metric. The determined location probability map specifies a probable location of a cardiac vessel.

Abstract: The present disclosure relates to a method for patient-specific optimization of imaging protocols. According to an embodiment, the present disclosure relates to a method for generating a patient-specific imaging protocol, comprising acquiring scout scan data, the scout scan data including scout scan information and scout scan parameters, generating a simulated image based on the acquired scout scan data, deriving a simulated dose map from the generated simulated image, determining image quality of the generated simulated image by applying machine learning to the generated simulated image, the neural network being trained to generate at least one probabilistic quality representation corresponding to at least one region of the generated simulated image, evaluating the determined image quality relative to a image quality threshold and the derived simulated dose map relative to a dosage threshold, optimizing.

Abstract: A node interconnection apparatus includes a computing node and a resource control node, and a device interconnection interface connecting the two. Each of the computing node and the resource control node includes a processing unit and a storage unit, and the resource control node further includes a resource interface for connecting with a network storage device. The resource control node manages storage resource of the network storage device, and when the computing node needs to start up, the resource control node obtains operating system startup information from the network storage device and provides the information to the computing node. The computing node can start up without the need for storing startup information locally.

Abstract: An information processing method, applied to an electronic device including an object detection unit and a control unit, comprising determining that a target object is detected. The object detection unit sends a status switch instruction to the control unit and controls the object detection unit to switch from a first status to a second status, and the status switch instruction is used to cause the electronic device to switch from a third status to a fourth status. The method further includes determining that the object detection unit enters the second status. In response to a control instruction sent by the control unit, the object detection unit obtains an object feature of the target object to cause the electronic device to perform recognition on the target object based on the object feature.

Abstract: An information processing method controls a CT scanner such that the method includes, but is not limited to, determining an X-ray irradiation period from an electrocardiogram acquired from an electrocardiography device attached to a living object to be imaged, by processing the electrocardiogram at multiple different cardiac phases; performing, by controlling a CT gantry including and rotatably supporting an X-ray source and an X-ray detector, a diagnostic CT scan in the determined X-ray irradiation period, of at least a part of the heart region, to obtain a CT image; and causing a display unit to display the obtained CT image. The method can be performed at least by an information processing apparatus including processing circuitry and/or computer instructions stored in a non-transitory computer readable storage medium for performing the method.

Abstract: The present disclosure provides a polysilicon resistor, a method for manufacturing the same, and a successive approximation register analog-to-digital converter.

Abstract: A deep learning (DL) network corrects/performs sinogram completion in computed tomography (CT) images based on complementary high- and low-kV projection data generated from a sparse (or fast) kilo-voltage (kV)-switching CT scan. The DL network is trained using inputs and targets, which respectively generated with and without kV switching. Another DL network can be trained to correct sinogram-completion errors in the projection data after a basis/material decomposition. A third DL network can be trained to correct sinogram-completion errors in reconstructed images based on the kV-switching projection data. Performance of the DL network can be improved by dividing a 3D convolutional neural network (CNN) into two steps performed by respective 2D CNNs. Further, the projection data and DLL can be divided into high- and low-frequency components to improve performance.

Abstract: An anastomosis clamp (1) and a delivery system thereof, where the anastomosis clamp (1) includes inner lancets (102, 602), round corners (103, 603), and outer rings (101, 601) that are sequentially connected; the delivery system may be used in cooperation with the anastomosis clamp (1); and the delivery system includes a distal end (2), a middle flexible sheath (3), and a handle (4).

Abstract: An image display method, a device, and a medium. The image display method includes displaying an emoji recommendation panel in a chat interface once an input text displayed in the chat interface triggers an emoji recommendation event, in which a target entry icon is displayed in the emoji recommendation panel, and the target entry icon is used to trigger display of a custom target emoji image; stopping displaying the emoji recommendation panel in response to detecting a first trigger operation on the target entry icon; and displaying, in the chat interface, a target emoji presentation panel corresponding to the target entry icon. A first preview image is displayed in the target emoji presentation panel, and the first preview image is a preview image of the target emoji image.

Abstract: A medical image processing apparatus according to an embodiment comprises a memory and processing circuitry. The memory is configured to store a plurality of neural networks corresponding to a plurality of imaging target sites, respectively, the neural networks each including an input layer, an output layer, and an intermediate layer between the input layer and the output layer, and each generated through learning processing with multiple data sets acquired for the corresponding imaging target site. The processing circuitry is configured to process first data into second data using, among the neural networks, the neural network corresponding to the imaging target site for the first data, wherein the first data is input to the input layer and the second data is output from the output layer.

Abstract: An information processing method processes an x-ray image including the steps of: obtaining first lower-radiation dose three-dimensional image data during a first scan of a patient; and detecting, using a trained neural network, a presence of an artifact (e.g., a metal artifact) in the first lower-radiation dose three-dimensional image data. An information processing apparatus includes processing circuitry for performing the detection method, and computer instructions stored in a non-transitory computer readable storage medium cause a computer processor to performing the detection method.

Abstract: Methods and apparatuses for retaining or treating a dental arch to apply a lateral expansion force to a lower jaw while permitting the extrusion of one or more teeth may include the use of a maxillary dental appliance device and/or a mandibular dental appliance device including projection regions extending from the occlusal surfaces of the device to apply a laterally outward expansion force.

Abstract: Devices, systems, and methods obtain scan data that were generated by scanning a scanned region, wherein the scan data include groups of scan data that were captured at respective angles; generate partial reconstructions of at least a part of the scanned region, wherein each partial reconstruction of the partial reconstructions is generated based on a respective one or more groups of the groups of scan data, and wherein a collective scanning range of the respective one or more groups is less than the angular scanning range; input the partial reconstructions into a machine-learning model, which generates one or more motion-compensated reconstructions of the at least part of the scanned region based on the partial reconstructions; calculate a respective edge entropy of each of the one or more motion-compensated reconstructions of the at least part of the scanned region; and adjust the machine-learning model based on the respective edge entropies.

Abstract: A device assembly system includes a control apparatus, a mobile apparatus, a lifting apparatus, and a plug in/out apparatus. The control apparatus is configured to control, based on an operation and maintenance instruction, the mobile apparatus, the lifting apparatus, and the plug in/out apparatus to complete an operation of the operation and maintenance instruction. The mobile apparatus is configured to move the device assembly system to a first location, and the first location identifies a rack in which a device is assembled. The lifting apparatus is configured to move the plug in/out apparatus to a target location in a first direction. The plug in/out apparatus is configured to place the device to be assembled at the target location, or obtain the device from the target location.

Abstract: A node interconnection apparatus includes a computing node, a resource control node, and a device interconnection interface connecting the computing node and the resource control node. Each of the computing node and the resource control node includes a processing unit and a storage unit, and the resource control node further includes a resource interface for connecting with a network storage device. The resource control node manages a storage resource of the network storage device, and when the computing node needs to start up, the resource control node obtains operating system startup information from the network storage device and provides the operating system startup information to the computing node. The computing node can start up without the need for storing startup information locally.