Abstract: Provided are a method and device for magnetic resonance parameter imaging, medical equipment, and a storage medium. The method comprises: performing acceleration sampling with respect to an image to be reconstructed of an observation target in a preset parameter direction to acquire K-space data corresponding to the image to be reconstructed, calculating, on the basis of the K-space data and of a parameter relaxation model, a parameter value and a compensation coefficient of the image to be reconstructed, generating, on the basis of the compensation coefficient, a compensation image corresponding to the image to be reconstructed, calculating, on the basis of the compensation image, respectively a low-rank part and a sparse part of the image to be reconstructed so as to update the compensation image.

Abstract: The present invention relates to a centrifuge for cleaning a reaction vessel unit, comprising a rotor and a rotor chamber in which the rotor is positioned and supported in rotary fashion. The rotor chamber is delimited by a housing having a drainage channel beneath the rotor. Adjacent to the channel, the inner surface of the housing is embodied in the form of a funnel that feeds into the channel. This centrifuge does not require a suction pump for suctioning liquids from the rotor chamber. In addition, the centrifuge can be provided with an exchangeable module that delimits the rotor chamber and includes the rotor. The exchangeable module can be exchanged after a predetermined amount of use and replaced with another. It is also possible, however, for the module to be removed from the centrifuge, cleaned, and re-inserted.

Abstract: A ground fault locating method for a power distribution network includes: monitoring each phase line of three phase distribution lines, and in the event of occurrence of waves with fault features, performing wave recording to obtain phase line record files; combining the record files corresponding to each of the three phase lines to obtain fault record files; and synthesizing the fault record files to form a transient record file, determining a fault location according to a wave having a maximum change in wave amplitude between two points in the transient record file, and displaying the fault location in a wiring diagram. The ground fault locating method for a power distribution network can significantly improve accuracy of single-phase ground fault detection.

Abstract: Disclosed in embodiments of the present invention are a control method and device for an alternating-current and direct-current conversion circuit, and a computer storage medium. The alternating-current and direct-current conversion circuit comprises a first commutation unit, a second commutation unit, and a coupling unit. By obtaining voltage information and current information of the alternating-current and direct-current conversion circuit, a controllable device of the first commutation unit can be controlled to be turned on in delay or turned off in advance; and the second commutation unit is controlled to work in a controllable rectification state or a controllable inversion state or an uncontrollable rectification state.

Abstract: A method for magnetic resonance imaging and plaque recognition includes: obtaining magnetic resonance undersampled K-space data; transforming the magnetic resonance undersampled K-space data to an image domain through inverse Fourier transform to obtain a preprocessed image; reconstructing the preprocessed image through a pre-established deep learning reconstruction model to obtain a high-resolution imaging image of a blood vessel wall; and recognizing plaques in the high-resolution imaging image of the blood vessel wall through a pre-established deep learning plaque recognition model. A neural network corresponding to the pre-established deep learning reconstruction model is a dense connection network. The magnetic resonance undersampled K-space data is head-and-neck combined magnetic resonance undersampled K-space data of the blood vessel wall.

Abstract: A magnetic resonance imaging method includes: obtaining three-dimensional under-sampling data of a target object based on a first three-dimensional magnetic resonance imaging sequence; obtaining a three-dimensional point spread function based on the three-dimensional under-sampling data or a two-dimensional mapping data of the target object; obtaining a sensitivity map of the target object based on the data collected by three-dimensional low-resolution complete sampling; performing imaging reconstruction to the three-dimensional under-sampling data based on the three-dimensional point spread function and the sensitivity map to obtain a reconstructed magnetic resonance image. The first three-dimensional magnetic resonance imaging sequence has a first sinusoidal gradient field on a phase direction and a second sinusoidal gradient field on a layer selection direction. 0-order moments of the first and the second three-dimensional magnetic resonance imaging sequences are 0.

Abstract: Provided is a method of producing an oil containing polyunsaturated fatty acids by using Schizochytrium sp. The method comprises: performing fermentation using Schizochytrium sp.; resuspending the resultant cells after fermentation in water, adding cellulase and neutral protease for enzymolysis; mixing the enzymatic hydrolyzate with n-hexane, shaking, extracting, centrifuging, and collecting the n-hexane phase; concentrating the n-hexane phase under reduced pressure to remove the n-hexane, and drying to obtain an oil; performing a first crystallization and a second crystallization, and then performing cold filtration to obtain a liquid oil after the second crystallization; and subjecting the liquid oil to deacidification and decolorization. By regulating fermentation conditions and conducting concentration processing on polyunsaturated fatty acids, the content of eicosapentaenoic acid in the Schizochytrium sp.

Abstract: The present disclosure relates to a 1D partial Fourier parallel magnetic resonance imaging method with a deep convolutional network and belongs to the technical field of magnetic resonance imaging.

Abstract: A method of processing plaques in magnetic resonance imaging of vessel wall include: step S101, training a generative adversarial network and a capsule neural network to obtain a trained generator network and a trained capsule neural network; and step S102, cascade-connecting the trained generator network with the capsule neural network into a system to recognize and classify plaques in magnetic resonance imaging of vessel wall. In one aspect, the capsule neural network has more abundant vascular plaques characteristic information represented by vector; in another aspect, when the trained generator network and the capsule neural network are cascaded into the system to recognize and classify the plaques in magnetic resonance imaging of vessel wall, an accuracy of recognition and classification may be greatly improved. A device for processing the method as well as a computer for implementing are also disclosed.

Abstract: A method of forming Si3Nx, where “x” is less than 4 and at least 3, comprises decomposing a Si-comprising precursor molecule into at least two decomposition species that are different from one another, at least one of the at least two different decomposition species comprising Si. An outer substrate surface is contacted with the at least two decomposition species. At least one of the decomposition species that comprises Si attaches to the outer substrate surface to comprise an attached species. The attached species is contacted with a N-comprising precursor that reacts with the attached species to form a reaction product comprising Si3Nx, where “x” is less than 4 and at least 3. Other embodiments are disclosed, including constructions made in accordance with method embodiments of the invention and constructions independent of method of manufacture.

Abstract: Provided are a parallel magnetic resonance imaging method and apparatus based on adaptive joint sparse codes and a computer-readable medium. The method includes solving an l2?lF?l2,1 minimization objective, where the l2 norm is a data fitting term, the lF norm is a sparse representation error, and the l2,1 mixed norm is the joint sparsity constraining across multiple channels; separately updating each of a sparse matrix, a dictionary and K-space data with a corresponding algorithm, and obtaining a reconstructed image by a sum of root mean squares of all the channels. The joint sparsity of the channels is developed using the norm l2,1. In this manner, calibration is not required while information sparsity is developed. Moreover, the method is robust.

Abstract: Disclosed in embodiments of the present invention are a control method and device for an alternating-current and direct-current conversion circuit, and a computer storage medium. The alternating-current and direct-current conversion circuit comprises a first commutation unit, a second commutation unit, and a coupling unit. By obtaining voltage information and current information of the alternating-current and direct-current conversion circuit, a controllable device of the first commutation unit can be controlled to be turned on in delay or turned off in advance; and the second commutation unit is controlled to work in a controllable rectification state or a controllable inversion state or an uncontrollable rectification state.

Abstract: The application provides a method, apparatus and computer program product for denoising a magnetic resonance diffusion tensor, wherein the method comprises: collecting data of K space; calculating a maximum likelihood estimator of a diffusion tensor according to the collected data of K space; calculating a maximum posterior probability estimator of the diffusion tensor by using sparsity of the diffusion tensor and sparsity of a diffusion parameter and taking the calculating maximum likelihood estimator as an initial value; and calculating the diffusion parameter according to the calculated maximum posterior probability estimator. The application solves the technical problem in the prior art of how to realize high precision denoising of diffusion tensor while not increasing scanning time and affecting spatial resolution, achieves the technical effects of effectively suppressing noises in the diffusion tensor and improving the estimation accuracy of the diffusion tensor.

Abstract: Systems and methods for conducting correlation analysis for security events with assets attributes of a network by a SIEM device to enable more efficient reporting are provided. According to one embodiment, when a SIEM device obtains a security event, a risk level of the security event is calculated based on at least a correlation of the security event with one or more asset attributes of a network that is managed by the SIEM device. When the risk level meets a predetermined or configurable threshold, the SIEM device causes the security event to be reported to an administrator of the network.

Abstract: A display device includes: a side-lighting backlight source, a display panel, and a light controlling component; the side-lighting backlight source comprises a light guide plate and a plurality of light emitting devices; the light guide plate includes a plurality of first regions and a brightness of a light emitting face of each of the first regions is controllable by at least one of the light emitting devices; the light controlling component includes a plurality of second regions configured such that one of the first regions covers at least one of the second regions; the brightness of the light emitting face of each of the first regions and a light transmittance of each of the second regions are controlled according to the contrast of the image to be displayed by a corresponding region of the liquid crystal display panel.

Abstract: A vanadium alloy essentially consisting of: vanadium; and aluminium having a content of greater than 0 to 10 at %, and a process of producing thereof.

Abstract: A method of forming Si3Nx, where “x” is less than 4 and at least 3, comprises decomposing a Si-comprising precursor molecule into at least two decomposition species that are different from one another, at least one of the at least two different decomposition species comprising Si. An outer substrate surface is contacted with the at least two decomposition species. At least one of the decomposition species that comprises Si attaches to the outer substrate surface to comprise an attached species. The attached species is contacted with a N-comprising precursor that reacts with the attached species to form a reaction product comprising Si3Nx, where “x” is less than 4 and at least 3. Other embodiments are disclosed, including constructions made in accordance with method embodiments of the invention and constructions independent of method of manufacture.

Abstract: In robot teaching programming, a robot teaching programming method, apparatus and system, and a computer-readable medium, can realize the programming of a robot simply, and are not restricted in terms of robot types. A robot teaching programming system includes a movable apparatus for imitating movement of an end effector of a robot in a working space of the robot; a robot teaching programming apparatus for recording first movement information of the movable apparatus in a first coordinate system and converting the same to second movement information in a second coordinate system of the robot, and then programming the robot according to the second movement information. Using a movable apparatus to simulate an end effector of a robot has the advantages of ease of operation, and no restrictions in terms of robot types. Teaching programming is accomplished through simple coordinate transformation, and there is no need for advanced programming skills.

Abstract: A ground fault locating method for a power distribution network includes: monitoring each phase line of three phase distribution lines, and in the event of occurrence of waves with fault features, performing wave recording to obtain phase line record files; combining the record files corresponding to each of the three phase lines to obtain fault record files; and synthesizing the fault record files to form a transient record file, determining a fault location according to a wave having a maximum change in wave amplitude between two points in the transient record file, and displaying the fault location in a wiring diagram. The ground fault locating method for a power distribution network can significantly improve accuracy of single-phase ground fault detection.

Abstract: A wireless device and a wireless local area network (WLAN) signal receiving method, where the wireless device includes a receiver, a jamming circuit, an interference cancelling circuit, a first antenna, and a second antenna. The receiver is coupled to the first antenna and configured to detect a WLAN signal, the jamming circuit is coupled to the second antenna, an input end of the interference cancelling circuit is coupled to the second antenna, and an output end of the interference cancelling circuit is coupled to the first antenna. The jamming circuit is configured to send, using the second antenna, an interference signal on a channel on which the WLAN signal is located, and the interference cancelling circuit is configured to generate, based on the interference signal, a reconstruction signal cancelling the interference signal received by the first antenna, and provide the reconstruction signal at the output end.