Abstract: Disclosed herein are, inter alia, inhibitors of protein arginine methyltransferase 9 and pharmaceutical compositions thereof, and methods comprising the use of protein arginine methyltransferase 9 inhibitors for the treatment of a protein arginine methyltransferase 9-modulated disease or disorder, such as a hematological cancer.

Abstract: A hybrid permanent magnet motor rotor rotates around a central axis, and includes: a rotor core provided with a plurality of magnet installation slots; and a plurality of magnet parts embedded inside a plurality of magnet installation slots respectively, wherein the rotor is provided with a plurality of first magnetic pole parts and a plurality of second magnetic pole parts, the magnetic poles of the first magnetic pole part and the second magnetic pole part are arranged in opposite and alternately in the circumferential direction, and the magnetic placement of the first magnetic pole part is different from that of the second magnetic pole part, the amount of magnets used in the second magnetic pole part is greater than that used in the first magnetic pole part.

Abstract: Described are systems and methods related to a memory block erase protocol. An example system includes a memory device having a memory array including a plurality of memory cells. The system further includes a processing device coupled to the memory device. The processing device is to determine a value of a metric associated with the memory array. Responsive to determine that the value of the metric is below a predetermined threshold, the processing device is further to initiate an erase protocol of the memory device. The processing device is further to erase sets of memory cells associated with one or more memory blocks of the memory array. The processing device is further to receive a programming command directed to the first set of memory cells. The processing device is further to perform a programming operation with respect to a set of memory cells responsive to receiving the programming command.

Abstract: A system can include a memory device with multiple management units, each management unit made up of multiple blocks, and a processing device, operatively coupled with the memory device, to perform various operations including identifying, among the management units, some complete management units and some incomplete management units, as well as performing one type of operation using one or more complete management units. The operations can also include performing another type of operation using one or more incomplete management units where this other type of operation include writing, to one or more incomplete management units, metadata associated with the data stored in complete management units.

Abstract: An image-guided method and radio therapy device are provided. The method includes: acquiring a rotation offset, a planned image and a real-time image of a target object; and determining a tracking offset based on the rotation offset, the planned image and the real-time image, the tracking offset being used for tracking the target object; where the rotation offset is generated by a position difference of the target object in a planning stage and a treatment stage. The planned image of the target object is acquired in the planning stage. The tracking offset is determined based on the rotation offset, the planned image and the real-time image. The tracking of the target object based on the tracking offset compensates for image distortion caused by the deflection of the position of the target object in the planning stage and the treatment stage.

Abstract: A method for generating contour data is provided. The method for generating contour data includes acquiring an image-guided contour of a target object, the image-guided contour including a target to be monitored; setting a contour type of the image-guided contour to be an image-guided type, which is customized in a contour type in contour data, wherein the image-guided contour of the image-guided type is intended to monitor motion of the target to be monitored of the target object; and saving contour data corresponding to the image-guided contour of the image-guided type in contour data of the target object.

Abstract: A method and an apparatus for equipment anomaly detection are provided. In the method, multiple signals of an equipment during normal operation or appearance images of the equipment when an appearance is not damaged are acquired in advance by using a data acquisition device to train a machine learning model stored in a storage device. A real-time signal of the equipment during a current operation or a current image of the appearance of the equipment is acquired by using the data acquisition device, and input to the trained machine learning model to output a detection result indicating a current operation state of the equipment or a current state of the appearance of the equipment.

Abstract: A driving method and a driving device for a display panel and a display device are provided. The display panel includes data line groups and multiplexers, each data line group includes at least three data lines, each multiplexer successively couples the input terminal thereof to the data lines electrically in the data line group in each line scanning period; and for at least one data line group, the driving method includes: acquiring data voltages to be output to the data lines in the data line group in a current line scanning period; in response to that the data voltages are not completely equal to each other, successively outputting the data voltages to the input terminal of the multiplexer corresponding to the data line group, and controlling the multiplexer to electrically couple the input terminal thereof to the data line to receive the data voltages.

Abstract: A method of writing data to a Ferroelectric-FET (FeFET) based non-volatile memory device can be provided by applying a voltage pulse at a write voltage level with a write polarity at a gate electrode of a FeFET device with reference to a source electrode of the FeFET device, as a write operation to the FeFET device to establish a state for the FeFET device, changing the voltage pulse, directly after the write operation, to a non-zero bias voltage level with a bias polarity that is opposite to the write polarity, at the gate electrode with reference to the source electrode for a delay time to reduce neutralization of a trap state associated with the write operation of the FeFET device, and changing the voltage pulse, after the delay time, to a read voltage level as a read operation to the FeFET device to determine the state of the FeFET device established during the write operation.

Abstract: A ship weighing system and a weighing method thereof include a collection module, a computing server, a wireless router, a display control terminal, and a network switch, which are installed in the ship. The collection module synchronously collects water level data of a stern and trim angle data of a front portion, a middle portion, and a rear portion of the ship. The computing server respectively calculates, based on the water level data collected by the collection module, an accumulated volume of the ship below a slice section parallel to a bottom plane of the ship corresponding to the water level data and a volume of a trim wedge formed by the slice section and an actual horizontal plane. The computing server combines results and corrects a volume of a vertical arch wedge in the middle portion of the ship to obtain a displacement volume of the ship.

Abstract: A convolutional neural network (CNN) operation accelerator comprising a first sub-accelerator and a second sub-accelerator is provided. The first sub-accelerator comprises I units of CNN processor cores, J units of element-wise & quantize processors, and K units of pool and nonlinear function processor. The second sub-accelerator comprises X units of CNN processor cores, Y units of first element-wise & quantize processors, and Z units of pool and nonlinear function processor. The above variables I˜K, X˜Z are all greater than 0, and at least one of the three relations, namely, “I is different from X”, “J is different from Y”, and “K is different from Z”, is satisfied. A to-be-performed CNN operation comprises a first partial CNN operation and a second partial CNN operation. The first sub-accelerator and the second sub-accelerator perform the first partial CNN operation and the second partial CNN operation, respectively.

Abstract: A driving method and a driving device for a display panel and a display device are provided. The display panel includes data line groups and multiplexers, each data line group includes at least three data lines, each multiplexer successively couples the input terminal thereof to the data lines electrically in the data line group in each line scanning period; and for at least one data line group, the driving method includes: acquiring data voltages to be output to the data lines in the data line group in a current line scanning period; in response to that the data voltages are not completely equal to each other, successively outputting the data voltages to the input terminal of the multiplexer corresponding to the data line group and controlling the multiplexer to electrically couple the input terminal thereof to the data line to receive the data voltages.

Abstract: A resistance-integrated gas sensor is provided, including a substrate, a first metal oxide layer, an insulating layer, a contact metal layer, a contact hole, a second metal oxide layer, and an interdigitated electrode layer. The first metal oxide layer is disposed in the substrate. The insulating layer is disposed on the substrate and the first metal oxide layer. The contact metal layer and the contact hole are disposed in the insulating layer. The second metal oxide layer is disposed on the insulating layer. A portion of the interdigitated electrode layer is disposed on the insulating layer, and another portion is disposed in the second metal oxide layer. The contact metal layer and the contact hole connect the first metal oxide layer and the interdigitated electrode layer.

Abstract: A convolutional neural-network calculating apparatus including a bidirectional-output operation module and a data scheduler is provided. The bidirectional-output operation module includes a number of bidirectional-output operators, a number of row-output accumulators, and a number of column-output accumulators. Each bidirectional-output operator has a row-output port and a column-output port. The row-output accumulators are coupled to the row-output ports, and the column-output accumulators are coupled to the corresponding column-output ports. The data scheduler is configured to provide a number of values of an input data and a number of convolution values of the convolution kernels to the bidirectional-output operators. In a first operation mode, the bidirectional-output operators output operation results to the corresponding column-output accumulators through the column-output ports.

Abstract: Provided is a method for locating a tumor. The method includes: performing image registration on a projection image of the tumor and a first standard image to acquire a first offset; generating a second standard image based on the first offset; performing image registration on the projection image and the second standard image to acquire a second offset; and updating the second standard image based on the second offset and executing the operation of image registration on the projection image and the second standard image again in response to the second offset satisfying a virtual re-sampling condition; or outputting an accumulated offset in response to the second offset not satisfying the virtual re-sampling condition, wherein the accumulated offset is a sum of the first offset and the second offset acquired by executing the operation of image registration.

Abstract: Modified forms of hemagglutinin (HA) protein including those with modified immunodominant regions and with modified maturation cleavage sites, and virus and virus-like particles containing them are disclosed.

Abstract: A verification system and a verification method for a neural network accelerator hardware are provided. The verification system for a neural network accelerator hardware includes a neural network graph compiler and an execution performance estimator. The neural network graph compiler is configured to receive an assumed neural network graph and convert the assumed neural network graph into a suggested inference neural network graph according to a hardware information and an operation mode. The execution performance estimator is configured to receive the suggested inference neural network graph and calculate an estimated performance of the neural network accelerator hardware according to a hardware calculation abstract information of the suggested inference neural network graph.

Abstract: A manganese-lithium separation process and a pre-extraction solution preparation process in comprehensive recovery of ternary battery wastes, and a method for comprehensive recovery of cobalt, nickel, manganese and lithium elements from the ternary battery wastes, relates to a method for recycling battery wastes. According to the present disclosure, cobalt and nickel ions are separated from an impurity-removed solution by a hydrolysis method; manganese, lithium and other ions in the impurity-removed solution are free from an extraction procedure, so that most manganese ions are separated and removed by a wet method before extraction, to prevent the manganese ions from entering the extraction system; nickel ions are free from an extraction procedure of full extraction and full back-extraction; and nickel hydroxide is directly precipitated after related impurities are removed by extraction.

Abstract: A classification device and a classification method based on a neural network are provided. A heterogeneous integration module includes a convolutional layer, a data normalization layer, a connected layer and a classification layer. The convolutional layer generates a first feature map according to a first image data. The data normalization layer normalizes a first numerical data to generate a first normalized numerical data. The first numerical data corresponds to the first image data. The connected layer generates a first feature vector according to the first feature map and the first normalized numerical data. The classification layer generates a first classification result corresponding to a first time point according to the first feature vector. The heterogeneous integration module generates a second classification result corresponding to a second time point.

Abstract: Embodiments of the present disclosure provide a method and an apparatus of correcting a collimator, which may correct a position of a collimator of a gamma knife apparatus. The method includes: separately obtaining a projection image of rays sequentially passing through collimation holes and an isocenter plane in the collimator in cases where the collimator moves to M positions; determining a target position with a highest degree of alignment of the collimator from the M positions according to obtained projection images of rays; recording position parameters corresponding to the target position, so as to control the collimator to move to the target position in a case where the a gamma knife apparatus is used for treatment.