Abstract: A computer-implemented method is provided for improving image quality with shortened acquisition time. The method comprises: determining an accelerated image acquisition parameter for imaging a subject using a medical imaging apparatus; acquiring, using the medical imaging apparatus, a medical image of the subject according to the accelerated image acquisition parameter; applying a deep network model to the medical image to generate a corresponding transformed medical image with improved quality; and combining the medical image and the corresponding transformed medial image using an adaptive mixing algorithm to generate output image.

Abstract: The present disclosure relates to a method for configuring a priority level, a cloud platform, a system, a computing device, and a medium. The method for configuring a priority level for data on a cloud platform comprises determining the data type of received data; determining, according to the data type, a priority level specification used for describing a priority level of the received data; and calculating the priority level of the received data on the basis of the priority level specification of the received data.

Abstract: This disclosure provides a shuttle vehicle control method and apparatus, a shuttle vehicle, and a storage medium. The method includes controlling a first distance measurement device and a second distance measurement device to respectively measure a first distance and a second distance from a carrying target, and determining whether it is able to perform goods processing based on a result of respectively performing first comparison processing on the first distance and the second distance with a target normal distance threshold; and in a state of determining that it is unable to perform goods processing, respectively performing second comparison processing on the first distance and the second distance with a deviation correction distance threshold, and determining whether the shuttle vehicle is controlled to perform deviation correction processing based on a second comparison processing result.

Abstract: Disclosed in the present invention is an autonomous operation device. In the present invention, the autonomous operation device comprises: a device body; a cutting mechanism, wherein the cutting mechanism has a cutting body, which is located at the bottom of the device body; and a gear mounting mechanism, wherein the gear mounting mechanism is connected to the device body and the cutting mechanism, and is used for configuring a height between the cutting body and a traveling surface of the autonomous operation device when the cutting mechanism is mounted on the device body. Compared with the prior art, the autonomous operation device is convenient for a customer to use, and the production cost thereof can be reduced.

Abstract: A short-circuit protection apparatus includes a first detection branch, a second detection branch, and a controller. The first detection branch includes a first sampling resistor and a first sampling capacitor that is connected in parallel to the first sampling resistor. A difference between an absolute value of a second sampling voltage and an absolute value of a first sampling voltage is a first difference. The controller obtains a comparison result between an absolute value of a first sampling voltage at two terminals of the first sampling resistor and an absolute value of a second sampling voltage at two terminals of the second sampling resistor, and if a difference between the absolute value of the second sampling voltage and the absolute value of the first sampling voltage is a second difference and the second difference is less than the first difference, controls the target circuit to stop working.

Abstract: The present invention provides a nitride-based multi-channel switching device having a plurality of transistors. The multi-channel switching device comprises a substrate, a plurality gate structures, a plurality of source electrodes and a plurality of drain electrodes. The gate structures, source electrodes and drain electrodes are grouped to form the plurality of transistors and arranged such that each gate structure disposed between a source electrode and drain electrode. Each group of the gate structures are electrically interconnected and connected to at least one gate pad corresponding to each of the transistor. Each group of the drain electrode are electrically interconnected and connected to at least one drain pad corresponding to each of the transistor. All groups of the source electrodes are electrically interconnected and connected to at least one common source pad.

Abstract: A method includes receiving, by a processing device, position error data from one or more motors of a process chamber. The method further includes performing preprocessing of the position error data. The method further includes transforming the position error data to a frequency domain. The method further includes determining, based on the frequency domain position error data, that a vibration fault has occurred in connection with the process chamber. The method further includes performing a corrective action in view of the vibration fault.

Abstract: A methionine adenosyltransferase (MAT) 2A inhibitor represented by formula (I), a preparation method thereof, a pharmaceutical composition comprising the same, and pharmaceutical use thereof are disclosed. The compound has excellent MAT2A inhibitory activity.

Abstract: Embodiments disclosed herein include a dynamic load simulator. In an embodiment, the dynamic load simulator comprises an impedance load, a reverse match network, and a smart RF controller. In an embodiment, the smart RF controller comprises a dynamic load generator, and a reverse match controller.

Abstract: An optical construction (100) includes a lightguide (102), a transmissive reflector (112), and an optical sensor (114). The lightguide (102) includes a first major surface (104) and a second major surface (106) opposite to the first major surface (104). The first major surface (104) includes a first portion (108) and an adjoining second portion (110). The transmissive reflector (112) is disposed adjacent to the first major surface (104) of the lightguide (102). The optical sensor (114) is disposed adjacent to the transmissive reflector (112) opposite to the lightguide (102). The optical sensor (114) is aligned with the first portion (108) of the first major surface (104) of the lightguide (102), such that the optical sensor (114) receives at least a portion of light passing through the first portion (108) of the first major surface (104) and transmitted by the transmissive reflector (112).

Abstract: The present disclosure provides a method for monitoring a motion status of a vehicle, a related chip, and a system. The method includes: obtaining N acceleration values in a first axial direction collected from N times sampling and a maximum acceleration change value within a preset time period; and obtaining N acceleration values in a second axial direction collected from N times sampling and a maximum acceleration change value within the preset time period; determining whether the vehicle is in motion or in a first stationary state based on the acceleration values in the first and second axial direction; and in response to the vehicle being in the first stationary state, further determining whether the vehicle is in motion or in a second stationary state based on the maximum acceleration change values in the first and second axial direction.

Abstract: A method includes receiving first sensor data, generated during a manufacturing process by sensors associated with a substrate manufacturing chamber. The method further includes receiving simulated sensor data generated by a trained physics-based model. The method further includes determining which one or more components of the manufacturing chamber contribute to a difference between the first sensor data and the simulated sensor data. The method further includes causing performance of a corrective action in view of the difference.

Abstract: Disclosed herein, among other things, are apparatus and methods for neural network-driven frequency translation for hearing assistance devices. Various embodiments include a method of signal processing an input signal in a hearing assistance device, the hearing assistance device including a receiver and a microphone. The method includes performing neural network processing to train a processor to identify acoustic features in a plurality of audio signals and predict target outputs for the plurality of audio signals, and using the trained processor to control frequency translation of the input signal.

Abstract: Embodiments disclosed herein include a process power controller for a plasma processing tool. In an embodiment, the process power controller includes a process power source optimizer, a source predictor, and a process uniformity controller. In an embodiment, the source predictor is communicatively coupled to the process power source optimizer and the process uniformity controller.

Abstract: The present disclosure relates to systems and methods for providing vector-wise sparsity in neural networks. In some embodiments, an exemplary method for providing vector-wise sparsity in a neural network, comprises: dividing a matrix associated with the neural network into a plurality of vectors; selecting a first subset of non-zero elements from the plurality of vectors to form a pruned matrix; and outputting the pruned matrix for executing the neural network using the pruned matrix.

Abstract: A computing system includes a memory and at least one processor. The memory is configured to store motion data indicative of motion of a hearing instrument. The at least one processor is configured to determine a type of activity performed by a user of the hearing instrument and output data indicating the type of activity performed by the user.

Abstract: A method includes obtaining, by a processing device, a measurement of a calibrated feedback control device of a process chamber. The method further includes determining, by the processing device, a first indication of performance of a plasma generating apparatus of the process chamber based on the measurement of the calibrated feedback control device. The method further includes obtaining, from a first sensor of the process chamber, a second indication of performance of the plasma generating apparatus. The method further include providing the first indication of performance of the plasma generating apparatus and the second indication of performance of the plasma generating apparatus to a plasma monitoring module. The method further includes obtaining, from the plasma monitoring module, a combined indication of performance of the plasma generating apparatus. The method further includes performing, in view of the combined indication of performance of the plasma generating apparatus, a corrective action.

Abstract: A system may create a localized machine learning model including one or more customized local parameter values using a global model and variance data. The localized machine learning model may be used by a device or cohort of devices to perform evaluations of data. The localized model may be trained based off a global model that is adjusted and then trained a certain number of steps, where the number of steps is based at least in part on the variance data.

Abstract: The bio-degradable foam prepared from a composition comprising a polyhydroxyalkanoate (PHA) resin of which crystallinity is controlled can be biodegraded even in the ocean while having excellent physical properties, thermal property and processability, and can be effectively prepared by means of supercritical carbon dioxide foaming and the like.

Abstract: The present disclosure includes a system for producing low carbon olefins and/or aromatics from raw material comprising naphtha. The system can include a reaction unit that includes a fast fluidized bed reactor, a stripping unit that includes a stripper, and a regeneration unit. The reactor unit is adapted to allow the catalytic cracking of naphtha and to output reaction unit effluent material (spent catalyst and product gas) into the stripping unit, which is adapted to output product gas. The stripping unit is connected to and in fluid communication with the regeneration unit such that the stripping unit supplies the spent catalyst from the reaction unit to regeneration unit. The regeneration unit is adapted to regenerate the spent catalyst to form regenerated catalyst. The regeneration unit is connected to and in fluid communication with the fast fluidized bed reactor such that, in operation, regenerated catalyst can be sent to the fast fluidized bed reactor of the reaction unit.