Abstract: The present application provides a voice coil and a voice coil molding assembly, and the voice coil includes a voice coil body wound by a voice coil winding wire, and an inlet section and an outlet section extending from the voice coil body. The voice coil body includes two first straight edges arranged oppositely, two second straight edges arranged oppositely, and four arcuate portions configured to connect the two first straight edges and the two second straight edges. The inlet section and the outlet section are respectively arranged at the middle position of any one of the arcuate sections, and the inlet section and the outlet section are extended out from below and above the voice coil body, respectively. Compared with the related art, the voice coil can effectively avoid the occurrence of voice coil opening and wire dropping, and greatly improve product performance and reliability.

Abstract: A selenium-chelating pea oligopeptide, a preparation method thereof and use thereof. After the selenium-chelating pea oligopeptide is subjected to digestion treatment in at least one of following three ways, a change rate of selenium content not more than 3% with respect to the selenium content before the digestion treatment: hydrolyzing for 4 hours by a pepsin at a pH value of 2 and a temperature of 37° C.; hydrolyzing for 6 hours by a trypsin at a pH value of 7.5 and a temperature of 37° C.; maintaining the temperature constant at 37° C., firstly hydrolyzing for 4 hours by the pepsin at a pH value of 2, and then continuing to hydrolyze for 6 hours by a trypsin at a pH value of 6.8. The preparation method thereof includes mixing and reacting an aqueous solution of pea oligopeptide and sodium selenite, and then being subjected to alcohol precipitation and drying.

Abstract: The embodiment of the present disclosure provides a photovoltaic component control device including at least one bypass module configured to connect in parallel to at least one photovoltaic component; a driving circuit configured to drive the at least one bypass module to operate under control of a controller; a power supply module configured to obtain energy from the at least one photovoltaic component and output the energy to the controller in a case that the at least one photovoltaic component operates normally and the at least one photovoltaic component is bypassed; the controller configured to control an ON state of the at least one bypass module to control whether the at least one photovoltaic component is in a bypass mode. The energy consumption of the control device is greatly reduced, a problem of voltage stress is solved, and the safety performance of the bypass-type control device is improved.

Abstract: A medical image processing method includes obtaining a first set of projection data by performing, with a first CT apparatus including a first detector with a first pixel size, a first CT scan of an object in a first imaging region of the first detector; obtaining a first CT image with a first resolution by reconstructing the first set of projection data; obtaining a processed CT image with a resolution higher than the first resolution by applying a machine-learning model for resolution enhancement to the first CT image; and displaying the processed CT image or outputting the processed CT image for analysis. The machine-learning model is obtained by training using a second CT image based on a second set of projection data acquired by a second CT scan of the object in a second imaging region with a second CT apparatus including a second detector with a second pixel size.

Abstract: An information processing method of an embodiment is a processing method of information acquired by imaging performed by a medical image diagnostic apparatus, the information processing method includes the steps of: acquiring noise data by imaging a phantom using a medical imaging apparatus; based on first subject projection data acquired by the imaging performed by a medical image diagnostic modality of a same kind as the medical image diagnostic apparatus and the noise data, acquiring synthesized subject data in which noise based on the noise data is added to the first subject projection data; and acquiring a noise reduction processing model by machine learning using the synthesized subject data and second subject projection data acquired by the imaging performed by the medical image diagnostic modality.

Abstract: A blockchain data index method, a blockchain data storage method and a device are provided. This method first persists a block into a block file, persists an index data layer into an index database, then obtains a matching transaction location according to a query condition, and finally obtains a complete transaction from the block file. In the present application, through expanding the process of the blockchain data storage processing, the blockchain index data is stored in an independent index database and transaction atomicity of multi-database is guaranteed, and a data index mechanism, in which business information is customized in a transaction note field, and then a transaction is associated with the business information through the customized transaction note index field and finally the complete transaction is acquired based on key transaction information, is established.

Abstract: According to some embodiments, a method comprises obtaining a group of reconstructed-image data; converting the group of reconstructed-image data to a derivative of Radon space, thereby generating Radon-space data, wherein the Radon-space data have a radial sampling pattern in the derivative of Radon space; and generating resampled data by inputting the Radon-space data into a first trained machine-learning model for resampling Radon-space data, wherein the resampled data have a cone-beam-projection-geometry-shaped sampling pattern in the derivative of Radon space.

Abstract: A method for scatter estimation in a CT including a detector having multiple detector pixels includes: obtaining projection data by scanning an imaging object; reconstructing image data from the projection data; estimating, based on the projection data, a first scatter distribution; selecting, based on the first scatter distribution, a first subset of the pixels; calculating, based on the projection data and the image data, a second scatter distribution with respect to the selected first subset, the second scatter distribution having higher accuracy than the first scatter distribution; acquiring, based on the second scatter distribution, a third scatter distribution with respect to a second subset of the pixels, the third scatter distribution having higher spatial resolution than the second scatter distribution.

Abstract: An ultrasound diagnosis apparatus of an embodiment includes storage circuitry and processing circuitry. The storage circuitry stores therein a trained model trained using a first ultrasound signal containing a saturated signal as input data and a second ultrasound signal in which effect of saturation is reduced from the first ultrasound signal, as target data. The processing circuitry inputs a third ultrasound signal containing a saturated signal to the trained model and acquires a fourth ultrasound signal that is output from the trained model and in which effect of saturation is reduced from the third ultrasound signal, to generate the fourth ultrasound signal.

Abstract: A method of controlling computed tomography (CT) scanning includes performing a scout CT scan of a 3D region of a head of a subject to be examined, using a CT gantry having an X-ray source and an X-ray detector both rotatably supported thereby, to produce image data. Anatomical landmarks are detected for identifying an orbitomeatal base line (OMBL), by inputting cross-sectional image data of the 3D region generated from the image data to a trained machine learning model. A tilt angle of the CT gantry is determined based on the detected anatomical landmarks. A diagnostic CT scan of the object is performed using the CT gantry tilted at the determined tilt angle.

Abstract: A method for harmonic imaging is provided and includes inputting first training ultrasound data, including a fundamental component and a harmonic component, to each of a plurality of teacher models, and training each teacher model with the first training ultrasound as teacher input data and second training ultrasound data, including the harmonic component, as teacher target data; acquiring, for each teacher, corresponding first estimated data output from the teacher model, in response to input of first ultrasound data to the teacher model; selecting a first particular teacher model by evaluating the corresponding first estimated data output from each of the trained teacher models; and training a student model with the first ultrasound data as student input data and the corresponding first estimated data of the selected first particular teacher model as student target data.

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: An apparatus, method, and computer-readable medium having processing circuitry to receive first ultrasound data including at least one harmonic component, and apply the first ultrasound data to inputs of a trained deep neural network model that outputs enhanced ultrasound image data, the deep neural network model having been trained with training data including input ultrasound data and corresponding target ultrasound data having predetermined target features, and output the enhanced ultrasound image data.

Abstract: An integrated circuit structure and a chip are provided. The chip includes a first pad set, a second pad set, a connection circuit, and a signal pad set. The first pad set includes a plurality of first pads. The second pad set includes a plurality of second pads respectively corresponding in position to the first pads. Each of the first pads and the corresponding second pad are electrically coupled to each other through the connection circuit so as to be operable by choosing one therefrom. The signal pad set arranged between the first pad set and the second pad set and includes a plurality of signal pads.

Abstract: A changeover valve includes: a valve body and an internal-communication air duct and a driving device arranged in the valve body; wherein the valve body is connected with a housing of a vacuum cleaner, the housing is provided with a ventilation opening, an air inlet duct for driven inlet air and an air outlet duct for driven outlet air, the ventilation opening is provided with a filter element, a first end of the internal-communication air duct is connected with the ventilation opening, an outer side of the internal-communication air duct is connected with the driving device, so that the driving device drives a second end of the internal-communication air duct to rotate by a preset angle, the second end of the internal-communication air duct is connected at the air inlet duct and the air outlet duct communicates with the external space.

Abstract: An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. This processing circuitry collects a first ultrasound signal including one or more harmonic components. By executing weighed addition processing where a coefficient distribution is applied to the first ultrasound signal for different directions of two or more dimensions, the processing circuitry generates a second ultrasound signal including components of each order at a ratio different, at a specific frequency, from a ratio among the frequency components included in the first ultrasound signal.

Abstract: A formal verification method for a certificate storage smart contract is provided. The method includes: obtaining the certificate storage smart contract, and performing certificate storage, forensic, and certificate storage and forensic authority granting according to different production environments and authority; adding standardization statements of formal standardization into the certificate storage smart contract; and obtaining a verification result by performing model verification on the certificate storage smart contract into which the standardization statements of the formal verification are added. A computer device and a non-transitory computer-readable storage medium are further provided.

Abstract: A method, apparatus, and computer-readable storage medium for controlling exposure/irradiation during a main three-dimensional X-ray imaging scan using at least one spatially-distributed characteristic of a pre-scan/scout scan preceding the main scan. The at least one spatially-distributed characteristic includes (1) a spatially-distributed noise characteristic of the pre-scan and/or (2) a spatially-distributed identification of exposure-sensitive tissue types. The at least one spatially-distributed characteristic can be calculated from images reconstructed from sinogram/projection data and/or from sinogram/projection directly using a neural network.

Abstract: Devices, systems, and methods obtain first radiographic-image data reconstructed based on a set of projection data acquired in a radiographic scan; apply one or more trained machine-learning models to the set of projection data and the first radiographic-image data to obtain a set of parameters for a scatter kernel; input the set of parameters and the set of projection data into the scatter kernel to obtain scatter-distribution data; and perform scatter correction on the set of projection data using the scatter-distribution data, to obtain a set of corrected projection data.

Abstract: The present disclosure relates to a spatially-variant model of a point spread function and its role in enhancing medical image resolution. For instance, a method of the present disclosure comprises receiving a first medical image having a first resolution, applying a neural network to the first medical image, the neural network including a first subset of layers and, subsequently, a second subset of layers, the first subset of layers of the neural network generating, from the first medical image, a second medical image having a second resolution and the second subset of layers of the neural network generating, from the second medical image, a third medical image having a third resolution, and outputting the third medical image, wherein the first resolution is lower than the second resolution and the second resolution is lower than the third resolution.